Image Title

Search Results for atlantic:

Meet the Analysts on EU Decision to kill the Trans-Atlantic Data Transfer Pact


 

(upbeat electronic music) >> Narrator: From theCUBE studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Okay, hello everyone. I'm John Furrier with theCUBE. We're here with Meet the Analysts segment Sunday morning. We've got everyone around the world here to discuss a bit of the news around the EU killing the privacy deal, striking it down, among other topics around, you know, data privacy and global commerce. We got great guests here, Ray Wang, CEO of Constellation Research. Bill Mew, founder and CEO of Cyber Crisis Management from the Firm Crisis Team. And JD, CEO of Spearhead Management. JD, I can let you say your name because I really can't pronounce it. How do I (laughs) pronounce it, doctor? >> I wouldn't even try it unless you are Dutch, otherwise it will seriously hurt your throat. (Ray laughing) So, JD works perfect for me. >> Doctor Drooghaag. >> And Sarbjeet Johal, who's obviously an influencer, a cloud awesome native expert. Great, guys. Great to have you on, appreciate it, thanks for comin' on. And Bill, thank you for initiating this, I appreciate all your tweets. >> Happy Sunday. (Bill laughing) >> You guys have been really tweeting up a storm, I want to get everyone together, kind of as an analyst, Meet the Analyst segment. Let's go through with it. The news is the EU and U.S. Privacy Shield for data struck down by the court, that's the BBC headline. Variety of news, different perspectives, you've got an American perspective and you've got an international perspective. Bill, we'll start with you. What does this news mean? I mean, basically half the people in the world probably don't know what the Privacy Shield means, so why is this ruling so important, and why should it be discussed? >> Well, thanks to sharing between Europe and America, it's based on a two-way promise that when data goes from Europe to America, the Americans promise to respect our privacy, and when data goes form America to Europe, the Europeans promise to respect the American privacy. Unfortunately, there are big cultural differences between the two blocks. The Europeans have a massive orientation around privacy as a human right. And in the U.S., there's somewhat more of a prioritization on national security, and therefore for some time there's been a mismatch here, and it could be argued that the Americans haven't been living up to their promise because they've had various different laws, and look how much talk about FISA and the Cloud Act that actually contravene European privacy and are incompatible with the promise Americans have given. That promise, first of all, was in the form of a treaty called Safe Harbor. This went to court and was struck down. It was replaced by Privacy Shield, which was pretty much the same thing really, and that has recently been to the court as well, and that has been struck down. There now is no other means of legally sharing data between Europe and America other than what are being called standard contractual clauses. This isn't a broad treaty between two nations, these are drawn by each individual country. But also in the ruling, they said that standard contractual clauses could not be used by any companies that were subject to mass surveillance. And actually in the U.S., the FISA courts enforce a level of mass surveillance through all of the major IT firms, of all major U.S. telcos, cloud firms, or indeed, social media firms. So, this means that for all of the companies out there and their clients, business should be carrying on as usual apart from if you're one of those major U.S. IT firms, or one of their clients. >> So, why did this come about? Was there like a major incident? Why now, was it in the court, stuck in the courts? Were people bitchin' and moanin' about it? Why did this go down, what's the real issue? >> For those of us who have been following this attentively, things have been getting more and more precarious for a number of years now. We've had a situation where there are different measures being taken in the U.S., that have continued to erode the different protections that there were for Europeans. FISA is an example that I've given, and that is the sort of secret courts and secret warrants that are issued to seize data without anyone's knowledge. There's the Cloud Act, which is a sort of extrajudicial law that means that warrants can be served in America to U.S. organizations, and they have to hand over data wherever that data resides, anywhere in the world. So, data could exist on a European server, if it was under the control of an American company, they'd have to hand that over. So, whilst FISA is in direct conflict with the promises that the Americans made, things like the Cloud Act are not only in controversion with the promise they've made, there's conflicting law here, because if you're a U.S. subsidiary of a big U.S. firm, and you're based in Europe, who do you obey, the European law that says you can't hand it over because of GDPR, or the American laws that says they've got extrajudicial control, and that you've got to hand it over. So, it's made things a complete mess. And to say has this stuff, hasn't really happened? No, there's been a gradual erosion, and this has been going through the courts for a number of years. And many of us have seen it coming, and now it just hit us. >> So, if I get you right in what you're saying, it's basically all this mishmash of different laws, and there's no coherency, and consistency, is that the core issue? >> On the European side you could argue there's quite a lot of consistency, because we uphold people's privacy, in theory. But there have been incidents which we could talk about with that, but in theory, we hold your rights dear, and also the rights of Europeans, so everyone's data should be safe here from the sort of mass surveillance we're seeing. In the U.S., there's more of a direct conflict between everything, including there's been a, in his first week in the White House, Donald Trump signed an executive order saying that the Privacy Act in the U.S., which had been the main protection for people in the U.S., no longer applied to non-U.S. citizens. Which was, if you wanted try and cause a storm, and if you wanted to try and undermine the treaty, there's no better way of doing it than that. >> A lot of ways, Ray, I mean simplify this for me, because I'm a startup, I'm hustlin', or I'm a big company, I don't even know who runs the servers anymore, and I've got data stored in multiple clouds, I got in regions, and Oracle just announced more regions, you got Amazon, a gazillion regions, I could be on-premise. I mean bottom line, what is this about? I mean, and -- >> Bill's right, I mean when Max Schrems, the Austrian. Bill's right, when Max Schrems the Austrian activist actually filed his case against Facebook for where data was being stored, data residency wasn't as popular. And you know, what it means for companies that are in the cloud is that you have to make sure your data's being stored in the region, and following those specific region rules, you can't skirt those rules anymore. And I think the cloud companies know that this has been coming for some time, and that's why there's been announced in a lot of regions, a lot of areas that are actually happening, so I think that's the important part. But going back to Bill's earlier point, which is important, is America is basically the Canary Islands of privacy, right? Privacy is there, but it isn't there in a very, very explicit sense, and I think we've been skirting the rules for quite some time, because a lot of our economy depends on that data, and the marketing of the data. And so we often confuse privacy with consent, and also with value exchange, and I think that's part of the problem of what's going on here. Companies that have been building their business models on free data, free private data, free personally identifiable data information are the ones that are at risk! And I think that's what's going on here. >> It's the classic Facebook issue, you're the product, and the data is your product. Well, I want to get into what this means, 'cause my personal take away, not knowing the specifics, and just following say, cyber security for instance, one of the tenets there is that data sharing is an invaluable, important ethos in the community. Now, everyone has their own privacy, or security data, they don't want to let everyone know about their exploits but, but it's well known in the security world that sharing data with each other, different companies and countries is actually a good thing. So, the question that comes in my mind, is this really about data sharing or data privacy, or both? >> I think it's about both. And actually what the ruling is saying here is, all we're asking from the European side is please stop spying on us and please give us a level of equal protection that you give to your own citizens. Because data comes from America to Europe, whatever that data belongs to, a U.S. citizen or a European citizen, it's given equal protection. It is only if data goes in the other direction, where you have secret courts, secret warrants, seizure of data on this massive scale, and also a level of lack of equivalence that has been imposed. And we're just asking that once you've sorted out a few of those things, we'd say everything's back on the table, away we go again! >> Why don't we merge the EU with the United States? Wouldn't that solve the problem? (Bill laughing) >> We just left Europe! (laughs heartily) >> Actually I always -- >> A hostile takeover of the UK maybe, the 52nd state. (Bill laughing loudly) >> I always pick on Bill, like Bill, you got all screaming loud and clear about all these concerns, but UKs trying to get out of that economic union. It is a union at the end of the day, and I think the problem is the institutional mismatch between the EU and U.S., U.S. is old democracy, bigger country, population wise, bigger economy. Whereas Europe is several countries trying to put together, band together as one entity, and the institutions are new, like you know, they're 15 years old, right? They're maturing. I think that's where the big mismatch is and -- >> Well, Ray, I want to get your thoughts on this, Ray wrote a book, I forget what year it was, this digital disruption, basically it was digital transformation before it was actually a trend. I mean to me it's like, do you do the process first and then figure out where the value extraction is, and this may be a Silicon Valley or an American thing, but go create value, then figure out how to create process or understand regulations. So, if data and entrepreneurship is going to be a new modern era of value, why wouldn't we want to create a rule based system that's open and enabling, and not restrictive? >> So, that's a great point, right? And the innovation culture means you go do it first, and you figure out the rules later, and that's been a very American way of getting things done, and very Silicon Valley in our perspective, not everyone, but I think in general that's kind of the trend. I think the challenge here is that we are trading privacy for security, privacy for convenience, privacy for personalization, right? And on the security level, it's a very different conversation than what it is on the consumer end, you know, personalization side. On the security side I think most Americans are okay with a little bit of "spying," at least on your own side, you know, to keep the country safe. We're not okay with a China level type of spying, which we're not sure exactly what that means or what's enforceable in the courts. We look like China to the Europeans in the way we treat privacy, and I think that's the perspective we need to understand because Europeans are very explicit about how privacy is being protected. And so this really comes back to a point where we actually have to get to a consent model on privacy, as to knowing what data is being shared, you have the right to say no, and when you have the right to say no. And then if you have a value exchange on that data, then it's really like sometimes it's monetary, sometimes it's non-monetary, sometimes there's other areas around consensus where you can actually put that into place. And I think that's what's missing at this point, saying, you know, "Do we pay for your data? Do we explicitly get your consent first before we use it?" And we haven't had that in place, and I think that's where we're headed towards. And you know sometimes we actually say privacy should be a human right, it is in the UN Charter, but we haven't figured out how to enforce it or talk about it in the digital age. And so I think that's the challenge. >> Okay, people, until they lose it, they don't really understand what it means. I mean, look at Americans. I have to say that we're idiots on this front, (Bill chuckling) but you know, the thing is most people don't even understand how much value's getting sucked out of their digital exhaust. Like, our kids, TikTok and whatnot. So I mean, I get that, I think there's some, there's going to be blow back for America for sure. I just worry it's going to increase the cost of doing business, and take away from the innovation for citizen value, the people, because at the end of the day, it's for the people right? I mean, at the end of the day it's like, what's my privacy mean if I lose value? >> Even before we start talking about the value of the data and the innovation that we can do through data use, you have to understand the European perspective here. For the European there's a level of double standards and an erosion of trust. There's double standards in the fact that in California you have new privacy regulations that are slightly different to GDPR, but they're very much GDPR like. And if the boot was on the other foot, to say if we were spying on Californians and looking at their personal data, and contravening CCPA, the Californians would be up in arms! Likewise if we having promised to have a level of equality, had enacted a local rule in Europe that said that when data from America's over here, actually the privacy of Americans counts for nothing, we're only going to prioritize the privacy of Europeans. Again, the Americans would be up in arms! And therefore you can see that there are real double standards here that are a massive issue, and until those addressed, we're not going to trust the Americans. And likewise, the very fact that on a number of occasions Americans have signed up to treaties and promised to protect our data as they did with Safe Harbor, as they did with Privacy Shield, and then have blatantly, blatantly failed to do so means that actually to get back to even a level playing field, where we were, you have a great deal of trust to overcome! And the thing from the perspective of the big IT firms, they've seen this coming for a long time, as Ray was saying, and they sought to try and have a presence in Europe and other things. But the way this ruling has gone is that, I'm sorry, that isn't going to be sufficient! These big IT firms based in the U.S. that have been happy to hand over data, well some of them maybe more happy than others, but they all need to hand over data to the NSA or the CIA. They've been doing this for some time now without actually respecting this data privacy agreement that has existed between the two trading blocks. And now they've been called out, and the position now is that the U.S. is no longer trusted, and neither are any of these large American technology firms. And until the snooping stops and equality is introduced, they can now no longer, even from their European operations, they can no longer use standard contractual clauses to transfer data, which is going to be a massive restriction on their business. And if they had any sense, they'd be lobbying very, very hard right now to the Senate, to the House, to try and persuade U.S. lawmakers actually to stick to some these treaties! To stop introducing really mad laws that ride roughshod over other people's privacy, and have a certain amount of respect. >> Let's let JD weigh in, 'cause he just got in, sorry on the video, I made him back on a host 'cause he dropped off. Just, Bill, real quick, I mean I think it's like when, you know, I go to Europe there's the line for Americans, there's the line for EU. Or EU and everybody else. I mean we might be there, but ultimately this has to be solved. So, JD, I want to let you weigh in, Germany has been at the beginning forefront of privacy, and they've been hardcore, and how's this all playing out in your perspective? >> Well, the first thing that we have to understand is that in Germany, there is a very strong law for regulation. Germans panic as soon as they know regulation, so they need to understand what am I allowed to do, and what am I not allowed to do. And they expect the same from the others. For the record I'm not German, but I live in Germany for some 20 years, so I got a bit of a feeling for them. And that sense of need for regulation has spread very fast throughout the European Union, because most of the European member states of the European Union consider this, that it makes sense, and then we found that Britain had already a very good framework for privacy, so GDPR itself is very largely based on what the United Kingdom already had in place with their privacy act. Moving forward, we try to find agreement and consensus with other countries, especially the United States because that's where most of the tech providers are, only to find out, and that is where it started to go really, really bad, 2014, when the mass production by Edward Snowden came out, to find out it's not data from citizens, it's surveillance programs which include companies. I joined a purchasing conference a few weeks ago where the purchase of a large European multinational, where the purchasing director explicitly stated that usage of U.S. based tech providers for sensitive data is prohibited as a result of them finding out that they have been under surveillance. So, it's not just the citizens, there's mass -- >> There you have it, guys! We did trust you! We did have agreements there that you could have abided by, but you chose not to, you chose to abuse our trust! And you're now in a position where you are no longer trusted, and unless you can lobby your own elected representatives to actually recreate a level playing field, we're not going to continue trusting you. >> So, I think really I -- >> Well I mean that, you know, innovation has to come from somewhere, and you know, has to come from America if that's the case, you guys have to get on board, right? Is that what it -- >> Innovation without trust? >> Is that the perspective? >> I don't think it's a country thing, I mean like, it's not you or them, I think everybody -- >> I'm just bustin' Bill's chops there. >> No, but I think everybody, everybody is looking for what the privacy rules are, and that's important. And you can have that innovation with consent, and I think that's really where we're going to get to. And this is why I keep pushing that issue. I mean, privacy should be a fundamental right, and how you get paid for that privacy is interesting, or how you get compensated for that privacy if you know what the explicit value exchange is. What you're talking about here is the surveillance that's going on by companies, which shouldn't be happening, right? That shouldn't be happening at the company level. At the government level I can understand that that is happening, and I think those are treaties that the governments have to agree upon as to how much they're going to impinge on our personal privacy for the trade off for security, and I don't think they've had those discussions either. Or they decided and didn't tell any of their citizens, and I think that's probably more likely the case. >> I mean, I think what's happening here, Bill, you guys were pointing out, and Ray, you articulated there on the other side, and my kind of colorful joke aside, is that we're living a first generation modern sociology problem. I mean, this is a policy challenge that extends across multiple industries, cyber security, citizen's rights, geopolitical. I mean when would look, and even when we were doing CUBE events overseas in Europe, in North American companies we'd call it abroad, we'd just recycle the American program, and we found there's so much localization value. So, Ray, this is the digital disruption, it's the virtualization of physical for digital worlds, and it's a lot of network theory, which is computer science, a lot of sociology. This is a modern challenge, and I don't think it so much has a silver bullet, it's just that we need smart people working on this. That's my take away! >> I think we can describe the ideal endpoint being somewhere we have meaningful protection alongside the maximization of economic and social value through innovation. So, that should be what we would all agree would be the ideal endpoint. But we need both, we need meaningful protection, and we need the maximization of economic and social value through innovation! >> Can I add another axis? Another axis, security as well. >> Well, I could -- >> I put meaningful protection as becoming both security and privacy. >> Well, I'll speak for the American perspective here, and I won't speak, 'cause I'm not the President of the United States, but I will say as someone who's been from Silicon Valley and the east coast as a technical person, not a political person, our lawmakers are idiots when it comes to tech, just generally. (Ray laughing) They're not really -- (Bill laughing loudly) >> They really don't understand. They really don't understand the tech at all! >> So, the problem is -- >> I'm not claiming ours are a great deal better. (laughs) >> Well, this is why I think this is a modern problem. Like, the young people I talk to are like, "Why do we have this rules?" They're all lawyers that got into these positions of Congress on the American side, and so with the American JEDI Contract you guys have been following very closely is, it's been like the old school Oracle, IBM, and then Amazon is leading with an innovative solution, and Microsoft has come in and re-pivoted. And so what you have is a fight for the digital future of citizenship! And I think what's happening is that we're in a massive societal transition, where the people in charge don't know what the hell they're talkin' about, technically. And they don't know who to tap to solve the problems, or even shape or frame the problems. Now, there's pockets of people that are workin' on it, but to me as someone who looks at this saying, it's a pretty simple solution, no one's ever seen this before. So, there's a metaphor you can draw, but it's a completely different problem space because it's, this is all digital, data's involved. >> We've got a lobbyists out there, and we've got some tech firms spending an enormous amount of lobbying. If those lobbyists aren't trying to steer their representatives in the right direction to come up with law that aren't going to massively undermine trade and data sharing between Europe and America, then they're making a big mistake, because we got here through some really dumb lawmaking in the U.S., I mean, there are none of the laws in Europe that are a problem here. 'Cause GDPR isn't a great difference, a great deal different from some of the laws that we have already in California and elsewhere. >> Bill, Bill. >> The laws that are at issue here -- >> Bill, Bill! You have to like, back up a little bit from that rhetoric that EU is perfect and U.S. is not, that's not true actually. >> I'm not saying we're perfect! >> No, no, you say that all the time. >> But I'm saying there's a massive lack of innovation. Yeah, yeah. >> I don't, I've never said it! >> Arm wrestle! >> Yes, yes. >> When I'm being critical of some of the dumb laws in the U.S, (Sarbjeet laughing) I'm not saying Europe is perfect. What we're trying to say is that in this particular instance, I said there was an equal balance here between meaningful protection and the maximization of economic and social value. On the meaningful protection side, America's got it very wrong in terms of the meaningful protection it provides to civil European data. On the maximization of economic and social value, I think Europe's got it wrong. I think there are a lot of things we could do in Europe to actually have far more innovation. >> Yeah. >> It's a cultural issue. The Germans want rules, that's what they crave for. America's the other way, we don't want rules, I mean, pretty much is a rebel society. And that's kind of the ethos of most tech companies. But I think you know, to me the media, there's two things that go on with this tech business. The company's themselves have to be checked by say, government, and I believe in not a lot of regulation, but enough to check the power of bad actors. Media so called "checking power", both of these major roles, they don't really know what they're talking about, and this is back to the education piece. The people who are in the media so called "checking power" and the government checking power assume that the companies are bad. Right, so yeah, because eight out of ten companies like Amazon, actually try to do good things. If you don't know what good is, you don't really, (laughs) you know, you're in the wrong game. So, I think media and government have a huge education opportunity to look at this because they don't even know what they're measuring. >> I support the level of innovation -- >> I think we're unreeling from the globalization. Like, we are undoing the globalization, and that these are the side effects, these conflicts are a side effect of that. >> Yeah, so all I'm saying is I support the focus on innovation in America, and that has driven an enormous amount of wealth and value. What I'm questioning here is do you really need to spy on us, your allies, in order to help that innovation? And I'm starting to, I mean, do you need mass surveillance of your allies? I mean, I can see you may want to have some surveillance of people who are a threat to you, but wait, guys, we're meant to be on your side, and you haven't been treating our privacy with a great deal of respect! >> You know, Saudi Arabia was our ally. You know, 9/11 happened because of them, their people, right? There is no ally here, and there is no enemy, in a way. We don't know where the rogue actors are sitting, like they don't know, they can be within the walls -- >> It's well understood I think, I agree, sorry. it's well understood that nation states are enabling terrorist groups to take out cyber attacks. That's well known, the source enables it. So, I think there's the privacy versus -- >> I'm not sure it's true in your case that it's Europeans that's doing this though. >> No, no, well you know, they share -- >> I'm a former officer in the Royal Navy, I've stood shoulder to shoulder with my U.S. counterparts. I put my life on the line on NATO exercises in real war zones, and I'm now a disabled ex-serviceman as a result of that. I mean, if I put my line on the line shoulder to shoulder with Americans, why is my privacy not respected? >> Hold on -- >> I feel it's, I was going to say actually that it's not that, like even the U.S., right? Part of the spying internally is we have internal actors that are behaving poorly. >> Yeah. >> Right, we have Marxist organizations posing as, you know, whatever it is, I'll leave it at that. But my point being is we've got a lot of that, every country has that, every country has actors and citizens and people in the system that are destined to try to overthrow the system. And I think that's what that surveillance is about. The question is, we don't have treaties, or we didn't have your explicit agreements. And that's why I'm pushing really hard here, like, they're separating privacy versus security, which is the national security, and privacy versus us as citizens in terms of our data being basically taken over for free, being used for free. >> John: I agree with that. >> That I think we have some agreement on. I just think that our governments haven't really had that conversation about what surveillance means. Maybe someone agreed and said, "Okay, that's fine. You guys can go do that, we won't tell anybody." And that's what it feels like. And I don't think we deliberately are saying, "Hey, we wanted to spy on your citizens." I think someone said, "Hey, there's a benefit here too." Otherwise I don't think the EU would have let this happen for that long unless Max had made that case and started this ball rolling, so, and Edward Snowden and other folks. >> Yeah, and I totally support the need for security. >> I want to enter the -- >> I mean we need to, where there are domestic terrorists, we need to stop them, and we need to have local action in UK to stop it happening here, and in America to stop it happening there. But if we're doing that, there is absolutely no need for the Americans to be spying on us. And there's absolutely no need for the Americans to say that privacy applies to U.S. citizens only, and not to Europeans, these are daft, it's just daft! >> That's a fair point. I'm sure GCHQ and everyone else has this covered, I mean I'm sure they do. (laughs) >> Oh, Bill, I know, I've been involved, I've been involved, and I know for a fact the U.S. and the UK are discussing I know a company called IronNet, which is run by General Keith Alexander, funded by C5 Capital. There's a lot of collaboration, because again, they're tryin' to get their arms around how to frame it. And they all agree that sharing data for the security side is super important, right? And I think IronNet has this thing called Iron Dome, which is essentially like they're saying, hey, we'll just consistency around the rules of shared data, and we can both, everyone can have their own little data. So, I think there's recognition at the highest levels of some smart people on both countries. (laughs) "Hey, let's work together!" The issue I have is just policy, and I think there's a lot of clustering going on. Clustered here around just getting out of their own way. That's my take on that. >> Are we a PG show? Wait, are we a PG show? I just got to remember that. (laughs) (Bill laughing) >> It's the internet, there's no regulation, there's no rules! >> There's no regulation! >> The European rules or is it the American rules? (Ray laughing) >> I would like to jump back quickly to the purpose of the surveillance, and especially when mass surveillance is done under the cover of national security and terror prevention. I worked with five clients in the past decade who all have been targeted under mass surveillance, which was revealed by Edward Snowden, and when they did their own investigation, and partially was confirmed by Edward Snowden in person, they found out that their purchasing department, their engineering department, big parts of their pricing data was targeted in mass surveillance. There's no way that anyone can explain me that that has anything to do with preventing terror attacks, or finding the bad guys. That is economical espionage, you cannot call it in any other way. And that was authorized by the same legislation that authorizes the surveillance for the right purposes. I'm all for fighting terror, and anything that can help us prevent terror from happening, I would be the first person to welcome it. But I do not welcome when that regulation is abused for a lot of other things under the cover of national interest. I understand -- >> Back to the lawmakers again. And again, America's been victim to the Chinese some of the individual properties, well documented, well known in tech circles. >> Yeah, but just 'cause the Chinese have targeted you doesn't give you free right to target us. >> I'm not saying that, but its abuse of power -- >> If the U.S. can sort out a little bit of reform, in the Senate and the House, I think that would go a long way to solving the issues that Europeans have right now, and a long way to sort of reaching a far better place from which we can all innovate and cooperate. >> Here's the challenge that I see. If you want to be instrumenting everything, you need a closed society, because if you have a free country like America and the UK, a democracy, you're open. If you're open, you can't stop everything, right? So, there has to be a trust, to your point, Bill. As to me that I'm just, I just can't get my arms around that idea of complete lockdown and data surveillance because I don't think it's gettable in the United States, like it's a free world, it's like, open. It should be open. But here we've got the grids, and we've got the critical infrastructure that should be protected. So, that's one hand. I just can't get around that, 'cause once you start getting to locking down stuff and measuring everything, that's just a series of walled gardens. >> So, to JD's point on the procurement data and pricing data, I have been involved in some of those kind of operations, and I think it's financial espionage that they're looking at, financial security, trying to figure out a way to track down capital flows and what was purchased. I hope that was it in your client's case, but I think it's trying to figure out where the money flow is going, more so than trying to understand the pricing data from competitive purposes. If it is the latter, where they're stealing the competitive information on pricing, and data's getting back to a competitor, that is definitely a no-no! But if it's really to figure out where the money trail went, which is what I think most of those financial analysts are doing, especially in the CIA, or in the FBI, that's really what that probably would have been. >> Yeah, I don't think that the CIA is selling the data to your competitors, as a company, to Microsoft or to Google, they're not selling it to each other, right? They're not giving it to each other, right? So, I think the one big problem I studied with FISA is that they get the data, but how long they can keep the data and how long they can mine the data. So, they should use that data as exhaust. Means like, they use it and just throw it away. But they don't, they keep mining that data at a later date, and FISA is only good for five years. Like, I learned that every five years we revisit that, and that's what happened this time, that we renewed it for six years this time, not five, for some reason one extra year. So, I think we revisit all these laws -- >> Could be an election cycle. >> Huh? >> Could be an election cycle maybe. (laughs) >> Yes, exactly! So, we revisit all these laws with Congress and Senate here periodically just to make sure that they are up to date, and that they're not infringing on human rights, or citizen's rights, or stuff like that. >> When you say you update to check they're not conflicting with anything, did you not support that it was conflicting with Privacy Shield and some of the promises you made to Europeans? At what point did that fail to become obvious? >> It does, because there's heightened urgency. Every big incident happens, 9/11 caused a lot of new sort of like regulations and laws coming into the picture. And then the last time, that the Russian interference in our election, that created some sort of heightened urgency. Like, "We need to do something guys here, like if some country can topple our elections, right, that's not acceptable." So, yeah -- >> And what was it that your allies did that caused you to spy on us and to downgrade our privacy? >> I'm not expert on the political systems here. I think our allies are, okay, loose on their, okay, I call it village politics. Like, world is like a village. Like it's so only few countries, it's not millions of countries, right? That's how I see it, a city versus a village, and that's how I see the countries, like village politics. Like there are two camps, like there's Russia and China camp, and then there's U.S. camp on the other side. Like, we used to have Russia and U.S., two forces, big guys, and they managed the whole world balance somehow, right? Like some people with one camp, the other with the other, right? That's how they used to work. Now that Russia has gone, hold on, let me finish, let me finish. >> Yeah. >> Russia's gone, there's this void, right? And China's trying to fill the void. Chinese are not like, acting diplomatic enough to fill that void, and there's, it's all like we're on this imbalance, I believe. And then Russia becomes a rogue actor kind of in a way, that's how I see it, and then they are funding all these bad people. You see that all along, like what happened in the Middle East and all that stuff. >> You said there are different camps. We thought we were in your camp! We didn't expect to be spied on by you, or to have our rights downgraded by you. >> No, I understand but -- >> We thought we were on your side! >> But, but you have to guys to trust us also, like in a village. Let me tell you, I come from a village, that's why I use the villager as a hashtag in my twitter also. Like in village, there are usually one or two families which keep the village intact, that's our roles. >> Right. >> Like, I don't know if you have lived in a village or not -- >> Well, Bill, you're making some great statements. Where's the evidence on the surveillance, where can people find more information on this? Can you share? >> I think there's plenty of evidence, and I can send some stuff on, and I'm a little bit shocked given the awareness of the FISA Act, the Cloud Act, the fact that these things are in existence and they're not exactly unknown. And many people have been complaining about them for years. I mean, we've had Safe Harbor overturned, we've had Privacy Shield overturned, and these weren't just on a whim! >> Yeah, what does JD have in his hand? I want to know. >> The Edward Snowden book! (laughs) >> By Edward Snowden, which gives you plenty. But it wasn't enough, and it's something that we have to keep in mind, because we can always claim that whatever Edward Snowden wrote, that he made it up. Every publication by Edward Snowden is an avalanche of technical confirmation. One of the things that he described about the Cisco switches, which Bill prefers to quote every time, which is a proven case, there were bundles of researchers saying, "I told you guys!" Nobody paid attention to those researchers, and Edward Snowden was smart enough to get the mass media representation in there. But there's one thing, a question I have for Sabjeet, because in the two parties strategy, it is interesting that you always take out the European Union as part. And the European Union is a big player, and it will continue to grow. It has a growing amount of trade agreements with a growing amount of countries, and I still hope, and I think think Bill -- >> Well, I think the number of countries is reducing, you've just lost one! >> Only one. (Bill laughing loudly) Actually though, those are four countries under one kingdom, but that's another point. (Bill chortling heartily) >> Guys, final topic, 5G impact, 'cause you mentioned Cisco, couldn't help think about -- >> Let me finish please my question, John. >> Okay, go ahead. How would you the United States respond if the European Union would now legalize to spy on everybody and every company, and every governmental institution within the United States and say, "No, no, it's our privilege, we need that." How would the United States respond? >> You can try that and see economically what happens to you, that's how the village politics work, you have to listen to the mightier than you, and we are economically mightier, that's the fact. Actually it's hard to swallow fact for, even for anybody else. >> If you guys built a great app, I would use it, and surveil all you want. >> Yeah, but so this is going to be driven by the economics. (John laughing) But the -- >> That's exactly what John said. >> This is going to be driven by the economics here. The big U.S. cloud firms are got to find this ruling enormously difficult for them, and they are inevitably going to lobby for a level of reform. And I think a level of a reform is needed. Nobody on your side is actually arguing very vociferously that the Cloud Act and the discrimination against Europeans is actually a particularly good idea. The problem is that once you've done the reform, are we going to believe you when you say, "Oh, it's all good now, we've stopped it!" Because with Crypto AG scandal in Switzerland you weren't exactly honest about what you were doing. With the FISA courts, so I mean FISA secret courts, the secret warrants, how do we know and what proof can we have that you've stopped doing all these bad things? And I think one of the challenges, A, going to be the reform, and then B, got to be able to show that you actually got your act together and you're now clean. And until you can solve those two, many of your big tech companies are going to be at a competitive disadvantage, and they're going to be screaming for this reform. >> Well, I think that, you know, General Mattis said in his book about Trump and the United states, is that you need alliances, and I think your point about trust and executing together, without alliances, it really doesn't work. So, unless there's some sort of real alliance, (laughs) like understanding that there's going to be some teamwork here, (Bill laughing) I don't think it's going to go anywhere. So, otherwise it'll continue to be siloed and network based, right? So to the village point, if TikTok can become a massively successful app, and they're surveilling, so and then we have to decide that we're going to put up with that, I mean, that's not my decision, but that's what's goin' on here. It's like, what is TikTok, is it good or bad? Amazon sent out an email, and they've retracted it, that's because it went public. I guarantee you that they're talkin' about that at Amazon, like, "Why would we want infiltration by the Chinese?" And I'm speculating, I have no data, I'm just saying, you know. They email those out, then they pull it back, "Oh, we didn't mean to send that." Really, hmm? (laughs) You know, so this kind of -- >> But the TRA Balin's good, you always want to get TRA Balin out there. >> Yeah, exactly. There's some spying going on! So, this is the reality. >> So, John, you were talking about 5G, and I think you know, the role of 5G, you know, the battle between Cisco and Huawei, you just have to look at it this way, would you rather have the U.S. spy on you, or would you rather have China? And that's really your binary choice at this moment. And you know both is happening, and so the question is which one is better. Like, the one that you're in alliance with? The one that you're not in alliance with, the one that wants to bury you, and decimate your country, and steal all your secrets and then commercialize 'em? Or the one kind of does it, but doesn't really do it explicitly? So, you've got to choose. (laughs) >> It's supposed to be -- >> Or you can say no, we're going to create our own standard for 5G and kick both out, that's an option. >> It's probably not as straightforward a question as, or an answer to that question as you say, because if we were to fast-forward 50 years, I would argue that China is going to be the largest trading nation in the world. I believe that China is going to have the upper hand on many of these technologies, and therefore why would we not want to use some of their innovation, some of their technology, why would we not actually be more orientated around trading with them than we might be with the U.S.? I think the U.S. is throwing its weight around at this moment in time, but if we were to fast-forward I think looking in the longterm, if I had to put my money on Huawei or some of its competitors, I think given its level of investments in research and whatever, I think the better longterm bet is Huawei. >> No, no, actually you guys need to pick a camp. It's a village again. You have to pick a camp, you can't be with both guys. >> Global village. >> Oh, right, so we have to go with the guys that have been spying on us? >> How do you know the Chinese haven't been spying on you? (Ray and John laughing loudly) >> I think I'm very happy, you find a backdoor in the Huawei equipment and you show it to us, we'll take them to task on it. But don't start bullying us into making decisions based on what-ifs. >> I don't think I'm, I'm not qualified to represent the U.S., but what we would want to say is that if you look at the dynamics of what's going on, China, we've been studying that as well in terms of the geopolitical aspects of what happens in technology, they have to do what they're doing right now. Because in 20 years our population dynamics go like this, right? You've got the one child policy, and they won't have the ability to go out and fight for those same resources where they are, so what they're doing makes sense from a country perspective and country policy. But I think they're going to look like Japan in 20 years, right? Because the xenophobia, the lack of immigration, the lack of inside stuff coming in, an aging population. I mean, those are all factors that slow down your economy in the long run. And the lack of bringing new people in for ideas, I mean that's part of it, they're a closed system. And so I think the longterm dynamics of every closed system is that they tend to fail versus open systems. So, I'm not sure, they may have better technology along the way. But I think a lot of us are probably in the camp now thinking that we're not going to aid and abet them, in that sense to get there. >> You're competing a country with a company, I didn't say that China had necessarily everything rosy in its future, it'll be a bigger economy, and it'll be a bigger trading partner, but it's got its problems, the one child policy and the repercussions of that. But that is not one of the things, Huawei, I think Huawei's a massively unlimited company that has got a massive lead, certainly in 5G technology, and may continue to maintain a lead into 6G and beyond. >> Oh yeah, yeah, Huawei's done a great job on the 5G side, and I don't disagree with that. And they're ahead in many aspects compared to the U.S., and they're already working on the 6G technologies as well, and the roll outs have been further ahead. So, that's definitely -- >> And they've got a great backer too, the financer, the country China. Okay guys, (Ray laughing) let's wrap up the segment. Thanks for everyone's time. Final thoughts, just each of you on this core issue of the news that we discussed and the impact that was the conversation. What's the core issue? What should people think about? What's your solution? What's your opinion of how this plays out? Just final statements. We'll start with Bill, Ray, Sarbjeet and JD. >> All I'm going to ask you is stop spying on us, treat us equally, treat us like the allies that we are, and then I think we've got to a bright future together! >> John: Ray? >> I would say that Bill's right in that aspect in terms of how security agreements work, I think that we've needed to be more explicit about those. I can't represent the U.S. government, but I think the larger issue is really how do we view privacy, and how we do trade offs between security and convenience, and you know, what's required for personalization, and companies that are built on data. So, the sooner we get to those kind of rules, an understanding of what's possible, what's a consensus between different countries and companies, I think the better off we will all be a society. >> Yeah, I believe the most important kind of independence is the economic independence. Like, economically sound parties dictate the terms, that's what U.S. is doing. And the smaller countries have to live with it or pick the other bigger player, number two in this case is China. John said earlier, I think, also what JD said is the fine balance between national security and the privacy. You can't have, you have to strike that balance, because the rogue actors are sitting in your country, and across the boundaries of the countries, right? So, it's not that FISA is being fought by Europeans only. Our internal people are fighting that too, like how when you are mining our data, like what are you using it for? Like, I get concerned too, when you can use that data against me, that you have some data against me, right? So, I think it's the fine balance between security and privacy, we have to strike that. Awesome. JD? I'll include a little fake check, fact check, at the moment China is the largest economy, the European Union is the second largest economy, followed directly by the USA, it's a very small difference, and I recommend that these two big parties behind the largest economy start to collaborate and start to do that eye to eye, because if you want to balance the economical and manufacturing power of China, you cannot do that as being number two and number three. You have to join up forces, and that starts with sticking with the treaties that you signed, and that has not happened in the past, almost four years. So, let's go back to the table, let's work on rules where from both sides the rights and the privileges are properly reflected, and then do the most important thing, stick to them! >> Yep, I think that's awesome. I think I would say that these young kids in high school and college, they need to come up and solve the problems, this is going to be a new generational shift where the geopolitical landscape will change radically, you mentioned the top three there. And new alliances, new kinds of re-imagination has to be there, and from America's standpoint I'll just say that I'd like to see lawmakers have, instead of a LinkedIn handle, a GitHub handle. You know, when they all go out on campaign talk about what code they've written. So, I think having a technical background or some sort of knowledge of computer science and how the internet works with sociology and societal impact will be critical for our citizenships to advance. So, you know rather a lawyer, right so? (laughs) Maybe get some law involved in that, I mean the critical lawyers, but today most people are lawyers in American politics, but show me a GitHub handle of that congressman, that senator, I'd be impressed. So, that's what we need. >> Thanks, good night! >> Ray, you want to say something? >> I wanted to say something, because I thought the U.S. economy was 21 trillion, the EU is sittin' at about 16, and China was sitting about 14, but okay, I don't know. >> You need to do math man. >> Hey, we went over our 30 minutes time, we can do an hour with you guys, so you're still good. (laughs) >> Can't take anymore. >> No go on, get in there, go at it when you've got something to say. >> I don't think it's immaterial the exact size of the economy, I think that we're better off collaborating on even and fair terms, we are -- >> We're all better off collaborating. >> Yeah. >> Gentlemen -- >> But the collaboration has to be on equal and fair terms, you know. (laughs) >> How do you define fair, good point. Fair and balanced, you know, we've got the new -- >> We did define fair, we struck a treaty! We absolutely defined it, absolutely! >> Yeah. >> And then one side didn't stick to it. >> We will leave it right there, and we'll follow up (Bill laughing) in a later conversation. Gentlemen, you guys are good. Thank you. (relaxing electronic music)

Published Date : Aug 3 2020

SUMMARY :

leaders all around the world, the EU killing the privacy it unless you are Dutch, Great to have you on, appreciate it, (Bill laughing) that's the BBC headline. about FISA and the Cloud Act and that is the sort of secret courts and also the rights of Europeans, runs the servers anymore, and the marketing of the data. So, the question that comes in my mind, that you give to your own citizens. A hostile takeover of the and the institutions I mean to me it's like, do and when you have the right to say no. and take away from the and the innovation that we I mean I think it's like when, you know, because most of the European member states and unless you can lobby your that the governments have to agree upon and Ray, you articulated I think we can describe Can I add another axis? and privacy. and the east coast as a technical person, They really don't understand. I'm not claiming ours are And so what you have is a fight of the laws in Europe You have to like, back up a massive lack of innovation. and the maximization of and the government checking power and that these are the side effects, and that has driven an enormous You know, 9/11 happened because of them, to take out cyber attacks. that it's Europeans I mean, if I put my line on the line Part of the spying internally and citizens and people in the system And I don't think we support the need for security. for the Americans to be spying on us. I mean I'm sure they do. and I know for a fact the I just got to remember that. that authorizes the surveillance some of the individual properties, Yeah, but just 'cause the in the Senate and the House, gettable in the United States, and data's getting back to a competitor, the CIA is selling the data (laughs) and that they're not that the Russian and that's how I see the Middle East and all that stuff. We didn't expect to be spied on by you, But, but you have to Where's the evidence on the surveillance, given the awareness of the I want to know. and it's something that but that's another point. if the European Union would now legalize that's how the village politics work, and surveil all you want. But the -- that the Cloud Act and the about Trump and the United states, But the TRA Balin's good, So, this is the reality. and so the question is and kick both out, that's an option. I believe that China is You have to pick a camp, and you show it to us, we'll is that they tend to But that is not one of the things, Huawei, and the roll outs have been further ahead. and the impact that was the conversation. So, the sooner we get and across the boundaries and how the internet works the EU is sittin' at about 16, we can do an hour with you guys, go at it when you've got something to say. But the collaboration Fair and balanced, you Gentlemen, you guys are good.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Bill MewPERSON

0.99+

MicrosoftORGANIZATION

0.99+

RayPERSON

0.99+

IBMORGANIZATION

0.99+

JDPERSON

0.99+

NSAORGANIZATION

0.99+

AmazonORGANIZATION

0.99+

JohnPERSON

0.99+

GermanyLOCATION

0.99+

Max SchremsPERSON

0.99+

Ray WangPERSON

0.99+

CIAORGANIZATION

0.99+

OracleORGANIZATION

0.99+

GoogleORGANIZATION

0.99+

Max SchremsPERSON

0.99+

BillPERSON

0.99+

C5 CapitalORGANIZATION

0.99+

CongressORGANIZATION

0.99+

EuropeLOCATION

0.99+

John FurrierPERSON

0.99+

European UnionORGANIZATION

0.99+

HuaweiORGANIZATION

0.99+

IronNetORGANIZATION

0.99+

Donald TrumpPERSON

0.99+

AmericaLOCATION

0.99+

Edward SnowdenPERSON

0.99+

FBIORGANIZATION

0.99+

Cloud ActTITLE

0.99+

oneQUANTITY

0.99+

Constellation ResearchORGANIZATION

0.99+

six yearsQUANTITY

0.99+

SwitzerlandLOCATION

0.99+

five clientsQUANTITY

0.99+

CiscoORGANIZATION

0.99+

Sarbjeet JohalPERSON

0.99+

EUORGANIZATION

0.99+

Palo AltoLOCATION

0.99+

Silicon ValleyLOCATION

0.99+

21 trillionQUANTITY

0.99+

BostonLOCATION

0.99+

CaliforniaLOCATION

0.99+

fiveQUANTITY

0.99+

50 yearsQUANTITY

0.99+

FISA ActTITLE

0.99+

FacebookORGANIZATION

0.99+

Royal NavyORGANIZATION

0.99+

SenateORGANIZATION

0.99+

GCHQORGANIZATION

0.99+

five yearsQUANTITY

0.99+

BBCORGANIZATION

0.99+

MaxPERSON

0.99+

eightQUANTITY

0.99+

Middle EastLOCATION

0.99+

Matt Provo & Chandler Hoisington | CUBE Conversation, March 2022


 

(bright upbeat music) >> According to the latest survey from Enterprise Technology Research, container orchestration is the number one category as measured by customer spending momentum. It's ahead of AIML, it's ahead of cloud computing, and it's ahead of robotic process automation. All of which also show highly elevated levels of customer spending velocity. Now, we drill deeper into the survey of more than 1200 CIOs and IT buyers, and we find that a whopping 70% of respondents are spending more on Kubernetes initiatives in 2022 as compared to last year. The rise of Kubernetes came about through a series of improbable events that change the way applications are developed, deployed and managed. Very early on Kubernetes committers chose to focus on simplicity in massive adoption rather than deep enterprise functionality. It's why initially virtually all activity around Kubernetes focused on stateless applications. That has changed. As Kubernetes adoption has gone mainstream, the need for stronger enterprise functionality has become much more pressing. You hear this constantly when you attend the various developer conference, and the talk is all around, let's say, shift left to improve security and better cluster management, more complete automation capabilities, support for data-driven workloads and very importantly, vastly better application performance in visibility and management. And that last topic is what we're here to talk about today. Hello, this is Dave Vellante, and welcome to this special CUBE conversation where we invite into our East Coast Studios Matt Provo, who's the founder and CEO of StormForge and Chandler Hoisington, the general manager of EKS Edge in Hybrid at AWS. Gentlemen, welcome, it's good to see you. >> Thanks. >> Thanks for having us. >> So Chandler, you have this convergence, you've got application performance, you've got developer speed and velocity and you've got cloud economics all coming together. What's driving that convergence and why is it important for customers? >> Yeah, yeah, great question. I think it's important to kind of understand how we got here in the first place. I think Kubernetes solves a lot of problems for users, but the complexity of Kubernetes of just standing up a cluster to begin with is not always simple. And that's where services like EKS comes in and where Amazon tried to solve that problem for users saying, "Hey the control plane, it's made up of 10, 15 different components, standing all these up, patching them, you know, handling the CBEs for it et cetera, et cetera, is a very complicated process, let me help you do that." And where EKS has been so successful and with EKS Anywhere which we launched last year, that's what we're helping customers do, a very similar thing in their own data centers. So we're kind of solving this problem of bringing the cluster online and helping customers launch their first application on it. But then what do you do once your application's there? That's the question. And so now you launched your application and does it have enough resources? Did you tune the right CPU? Did you tune the right amount of memory for it? All those questions need to be answered and that's where working with folks like StormForge come in. >> Well, it's interesting Matt because you're all about optimization and trying to maximize the efficiency which might mean people's lower their AWS bill, but that's okay with Amazon, right? You guys have shown the cheaper it is, the more they buy, well. >> Yeah. And it's all about loyalty and developer experience. And so when you can help create or add to the developer experience itself, over time that loyalty's there. And so when we can come alongside EKS and services from Amazon, well, number one StormForge is built on Amazon, on AWS, and so it's a nice fit, but when we don't have to require developers to choose between things like cost and performance, but they can focus on, you know, innovation and connecting the applications that they're managing on Kubernetes as they operationalize them to the actual business objectives that they have, it's a pretty powerful combination. >> So your entry into the market was in pre-production. >> Yeah. >> You can kind of simulate what performance is going to look like and now you've announced optimized live. >> Yep. >> So that should allow you to turn the crank a little bit more. >> Yeah. >> Get a little bit more accurate and respond more quickly. >> Yeah. So we're the only ones that give you both views. And so we want to, you know, we want to provide a view in what we call kind of our experimentation side of our platform, which is pre-production, as well as on ongoing and continuous view which we kind of call our observation, the observation part of our solution, which is in production. And so for us, it's about providing that view, it's also about taking an increased number of data inputs into the platform itself so that our machine learning can learn from that and ultimately be able to automate the right kinds of tasks alongside the developers to meet their objectives. >> So, Chandler, in my intro I was talking about the spending velocity and how Kubernetes was at the top. But when we had other survey questions that ETR did, and this is post pandemic, it was interesting. We asked what's the most important initiative? And the two top ones were security, no surprise, and it popped up really after the pandemic hit in the lockdown even more prominent and cloud migration, >> Right. >> was number two. And so how are you working with StormForge to effect cloud migrations? Talk about that relationship. >> Yeah. I think it's, you know, different enterprises to have different strategies on how they're going to get their workloads to the cloud. Some of 'em want to have modernize in place in their data centers and then take those modernized applications and move them to the cloud, and that's where something like I mentioned earlier, EKS Anywhere comes into play really nicely because we can bring a consistent experience, a Kubernetes experience to your data center, you can modernize your applications and then you can bring those to EKS in the cloud. And as you're moving them back and forth you have a more consistent experience with Kubernetes. And luckily StormForge works on prem as well even in air gapped environments for StormForge. So, you know, that's, you can get your applications tuned correctly for your data center workloads, and then you're going to tune them differently when you move them to the cloud and you can get them tuned correctly there but StormForge can run consistently in both environments. >> Now, can you add some color as to how you optimize EKS? >> Yeah, so I think from a EKS standpoint, when you, again, when the number of parameters that you have to look at for your application inside of EKS and then the associated services that will go alongside that the packages that are coming in from a Kubernetes standpoint itself, and then you start to transition and operationalize where more and more of these are in production, they're, you know, connected to the business, we provide the ability to go beyond what developers typically do which is sort of take the, either the out of the box defaults or recommendations that ship with the services that they put into their application or the any human's ability to kind of keep up with a couple parameters at a time. You know, with two parameters for the typical Kubernetes application, you might have about a 100 different possible combinations that you could choose from. And sometimes humans can keep up with that, at least statically. And so for us, we want to blow that wide open. We want developers to be able to take advantage of the entire footprint or environment itself. And, you know, by using machine learning to help augment what the developers themselves are doing, not replacing them, augmenting them and having them be a part of that process. Now this whole new world of optimization opens up to them, which is pretty fantastic. And so how the actual workloads are configured, you know, on an ongoing basis and predictively based on upcoming business events, or even unknowns many times is a pretty powerful position to be in. >> I mean, you said not to replace development. I mentioned robotic process automation in my intro, and of course in the early days, I was like, oh, it's going to replace my job. What's actually happened is it's replacing all the mundane tasks. >> Yeah. >> So you can actually do your job. >> Yeah. >> Right? We're all working 24/7, 365 these days, so that the extent that you can automate the things that I hate doing, >> Yeah. >> That's a huge win. So Chandler, how do people get started? You mentioned EKS Anywhere, are they starting on prem and then kind of moving into the cloud? If I'm a customer and I'm interested and I'm sort of at the beginning, where do I start? >> Yeah. Yeah. I mean, it really depends on your workload. Any workload that can run in the cloud should run in the cloud. I'm not just saying that because I work at Amazon but I truly think that that is the case. And I think customers think that as well. More and more customers are trying to move workloads to the cloud for that elasticity and all the benefits of using these huge platforms and, you know, hundreds of services that you have advantage of in the cloud but some workloads just can't move to the cloud yet. You have workloads that have latency requirements like some gaming workloads, for example, where we don't have regions close enough to the consumers yet. So, you know, you want to put workloads in Turkey to service Egypt customers or something like this. You also have workloads that are, you know, on cruise ships and they lose connectivity in the middle of the Atlantic, or maybe you have highly secure workloads in air gapped environments or something like this. So there's still a lot of use cases that keep workloads on prem and sometimes customers just have existing investments in hardware that they don't want to eat yet, right? And they want to slowly phase those out as they move to the cloud. And again, that's where EKS Anywhere really plays well for the workloads that you want to keep on prem, but then as you move to the cloud you can take advantage of obviously EKS. >> I'll put you in the spot. >> Sure. >> And don't hate me for doing this, but so Andy Jassy, Adam Selipsky, I've certainly heard Maylan Thompson Bukavek talk about this, and in fullness of time, all workloads will be in the cloud. >> Yeah. >> And I've said the cloud is expanding. We're going to bring the cloud to the edge. Edge is in your title. >> Yeah. >> Is that a correct interpretation and obvious it relates >> Absolutely. >> to Kubernetes. >> And you'll see that in Amazon strategy. I mean, without posts and wavelengths and local zones, like we're, at the end of the day, Amazon tries to satisfy customers. And if customers are saying, "Hey, I need workloads in San, I want to run a workload in San Francisco. And it's really important to me that it's close to those users, the end users that are in that area," we're going to help them do that at Amazon. And there's a variety of options now to do that. EKS Anywhere is actually only one piece of that kind of whole strategy. >> Yeah. I mean, here you have your best people working on the speed of light problem, but until that's solved, sure, sure. >> That's right. >> We'll give you the last word. >> How do you know about that? >> Yeah. Yeah. (all laughing) >> It's a top secret. Sorry. You heard it on the CUBE first. Matt, we'll give you the last word, bring us home. >> I, so I couldn't agree more. The, you know, the cloud is where workloads are going. Whether what I love is the ability to look at, you know, for the same enterprises, a lot of the ones we work with, want a, they want a public and a private view, public cloud, private cloud view. And they want that flexibility to, depending on the nature of the applications to be able to shift between from time to time where, you know, really decide. And I love EKS Anywhere. I think it's a fantastic addition to the, you know, to the ecosystem. And, you know, I think for us, we're about staying focused on the set of problems that we solve. No developer that I've ever met and probably neither of you have met, gets super excited about getting out of bed to manually tune their applications. And so what we find is that, you know, the time spent doing that, literally just is, there's like a one-to-one correlation. It means they're not innovating and they're not doing what they love to be doing. And so when we can come alongside that and automate away the manual task to your point, I think there are a lot of parallels to RPA in that case, it becomes actually a pretty empowering process for our users, so that they feel like they're, again, meeting the business objectives that they have, they get to innovate and yet, you know, they're exploring this whole new world around not having to choose between something like cost and performance for their applications. >> Well, and we're entering an entire new era of scale. >> Yeah. >> We've never seen before and human just are not going to be able to keep up with that. >> Yep. >> And that affect quality and speed and everything else. Guys, hey, thanks so much for coming in a great conversation. And thank you for watching this CUBE conversation. This is Dave Vellante, and we'll see you next time. (upbeat music)

Published Date : Mar 15 2022

SUMMARY :

and the talk is all around, let's say, So Chandler, you have this convergence, And so now you launched your application the more they buy, well. And so when you can help create or add So your entry into the is going to look like and now you to turn the crank and respond more quickly. And so we want to, you know, And the two top ones were And so how are you working with StormForge and then you can bring and then you start to transition and of course in the and I'm sort of at the hundreds of services that you And don't hate me for doing this, the cloud to the edge. at the end of the day, Amazon I mean, here you have your best You heard it on the CUBE first. they get to innovate and yet, you know, Well, and we're entering are not going to be able and we'll see you next time.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Dave VellantePERSON

0.99+

Adam SelipskyPERSON

0.99+

Andy JassyPERSON

0.99+

AmazonORGANIZATION

0.99+

TurkeyLOCATION

0.99+

ChandlerPERSON

0.99+

March 2022DATE

0.99+

Matt ProvoPERSON

0.99+

StormForgeORGANIZATION

0.99+

2022DATE

0.99+

San FranciscoLOCATION

0.99+

AWSORGANIZATION

0.99+

SanLOCATION

0.99+

last yearDATE

0.99+

first applicationQUANTITY

0.99+

hundredsQUANTITY

0.99+

Enterprise Technology ResearchORGANIZATION

0.99+

MattPERSON

0.99+

10QUANTITY

0.99+

Chandler HoisingtonPERSON

0.99+

EgyptLOCATION

0.99+

AtlanticLOCATION

0.99+

firstQUANTITY

0.98+

365QUANTITY

0.98+

todayDATE

0.98+

EKSORGANIZATION

0.98+

two parametersQUANTITY

0.98+

EKS EdgeORGANIZATION

0.98+

EKSTITLE

0.98+

both environmentsQUANTITY

0.97+

two top onesQUANTITY

0.96+

one pieceQUANTITY

0.95+

15 different componentsQUANTITY

0.95+

KubernetesTITLE

0.95+

buyersQUANTITY

0.94+

pandemicEVENT

0.92+

ETRORGANIZATION

0.91+

more than 1200 CIOs andQUANTITY

0.89+

East Coast StudiosORGANIZATION

0.88+

oneQUANTITY

0.87+

CUBEORGANIZATION

0.86+

StormForgeTITLE

0.85+

number one categoryQUANTITY

0.84+

servicesQUANTITY

0.83+

both viewsQUANTITY

0.82+

70% of respondentsQUANTITY

0.78+

about a 100 different possible combinationsQUANTITY

0.77+

Maylan Thompson BukavekPERSON

0.71+

number twoQUANTITY

0.67+

KubernetesPERSON

0.66+

CBEsORGANIZATION

0.62+

premORGANIZATION

0.61+

coupleQUANTITY

0.6+

KubernetesORGANIZATION

0.59+

CUBE ConversationEVENT

0.48+

Atif Khan & Ralph Munsen, Alkira | AWS re:Invent 2021


 

(upbeat music) >> Welcome everyone to this CUBE coverage of AWS re:Invent 2021. We have a lot going on at this year's re:Invent with over 100 guests on the program, and I'm excited to welcome two of those guests here with me right now. We are joined by Ralph Munsen, the Chief Information Officer at Warner Music Group and Atif Khan, the CTO of Alkira and founder of Alkira as well. Gentlemen, welcome to the program. >> Thank you so much, Lisa. So glad to be here with you. >> Good to be here. >> Yeah. Good old fashioned Zoom is become our best friend in the last 22 months or so I'm losing count. Atif, I'd like to start with you. I know Alkira has been on the key before, but it's been a while and you guys are a relatively young company. Give the audience an overview of Alkira and what it is that you deliver. >> Absolutely, Lisa. So we started back in may of 2018, and the Cloud networking space, multicloud networking. And we came out of stealth mode back in April of 2020, and launched the company. In fact, one of our first events coming out of stealth mode was a Cuban interview back in April of 2020. So here at Telecare, what we are doing is we are building a Cloud platform, which allows customers to build a common network across multiple Clouds with built-in network and security services, with the policy and management layer on top full end to end visibility and governance capabilities. And all of this is delivered as a service and consumed as a service as well. And I'm very glad to be here with Ralph, who is from Warner Music Group and is one of our marquee customers. So I'll let Ralph introduce himself, and tell us a bit more about Alkira and WMTS Cloud journey. >> That sounds great. Ralph, why don't you start by giving the audience? I'm sure everyone knows Warner Music Group, but in case there's anyone out there that might not. Give us a little bit of a background. >> Yeah, so the Warner Music Group has been around since 1950 and 1940 even it had its roots at Hollywood and out of Warner Brothers Pictures, Today, say global company in 79 countries we operated. If the 100 employees and we have two major divisions, we have our era recorded music division, which has the labels people commonly turn to Atlantic records, Warner brothers records, and so forth. And then we have our publishing division, which is more a chapel, which is where our songwriters live. And of course we have some singer songwriters that are on both sides of our business. But now currently people may know our artists. We have ed Sheeran, Bruno Mars, Coldplay, Cardi B, Blake Shelton and I could go on and on. But exciting, great year, we're having one of our best years ever. And I'm so glad to be here and partnering with an Alkira. >> Excellent. I love all of those artists that you mentioned. Fantastic. So let's talk a little bit now Ralph about the backstory. Talk to me about the IT infrastructure at Warner Music Group, what you had there and some of the challenges that you had that you came to Alkira to solve. >> Yeah, well initially when I took over about five years ago now, we were very much a data center based business with traditional networking and IT functions. Additionally with our foreign affiliates, IT was sort of decentralized in the sense that a lot of the networking and data center components were left to regions. And so while we operated globally, we didn't really operate globally, at Warner among our affiliates. So one of the challenges was how do we get out of the data center? Cloud was new. One of the big things that were coming with big data, which is absolutely right for moving, going straight to the Cloud, especially if you don't have anything on-prem and how do we rationalize all of these different locations and conduct all the M&A work we've been doing? So it was quite a challenge, really. At the end, we wanted to have one view of the network, and Alkira. I looked at many a company and Alkira seemed the best to provide that to us. So. >> Well, talk to me a little bit more about why Alkira, because as Atif was saying, they're very young. What came out of stealth mode during the pandemic Warner Music Group, being around since the 40s and 50s, the legacy institution, a great brand. What made you take a risk on such an early stage startup? >> Quite frankly, there was nothing in the space (chuckles) at the time you loved, there were companies that had components of it, of what Alkira does, which is basically network orchestration allowing us to use existing components. And nobody has the whole package, especially incorporating security. So, we figured why not take, take a chance? There's no, it won't hurt you no harm. And if anything is successful, it will give us a great ability to manage our network, much more efficiently taking things that took days down to hours and being able to do it much more efficiently with much fewer staff, as opposed to hiring a lot more because when you orchestrate all the components that are underneath, obviously it requires more bodies, more resources. >> Right. That efficiency and cost optimization is key there. Atif I have to ask you, talk to me about, this is only a few years ago, the gap in the market that you and your brothers saw a few years ago, when you founded the company, because as Rob was saying, there was nobody else in the market at the time that could do what you're doing. >> Yeah, absolutely. So Lisa, as you know, myself and Amir, we were also a part of the founding team of Viptela, which was the SD-WAN Company. So back in the day when we did SD-WAN, the requirement was to connect sites together. So if you go back like 5, 10, 5, 7, 10 years ago, networking was done to connect sites together, which could be remote sites, data centers, sites to data centers, all of that together. But fast forward, a few more years with the adoption of Cloud, requirements changed from the networking perspective. So now your network is not just connecting sites together, but most of the traffic now is from sites or users, which could be sitting anywhere. If you look at, what's going on? in the pandemic people are working from all across the globe. They are not just sitting in campuses or sites. So traffic patterns are from sites or users mostly to the Cloud or SaaS applications. So now networks also need to evolve and they need to be built inside the Cloud rather than from outside or connecting into the Cloud. So Cloud access is one capability, but building a network inside the Cloud becomes a requirement. And secondly, now it's not just only about connectivity because security becomes even more important because your security perimeter is changing as well. So securing all these Cloud networks becomes very, very complicated. And now as Ralph can tell you, majority of the enterprises have a multicloud strategy and each Cloud is done differently. So the moment you bring in multiple Clouds, multiple regions across the globe, it becomes so complicated for enterprises to build and manage. They need something, or a platform which makes it easy, gives them one way of doing networking, building a common network across whether you're connecting multiple Clouds or Clouds to your on-prem locations or Clouds to internet or sites to internet. So that's where we saw this gap and we decided to build Alkira to tackle this problem. >> Got it. So Rob, let's talk now about what you've implemented as a team was saying we live in this, in this work from anywhere hybrid multicloud world. Talk to us about Warner, what you implemented and maybe a little bit about your multicloud strategy, if you've got one. >> Ralph: Yeah. So over the last five years, Warner has migrated entirely into Cloud. And to this point before it's multicloud, we're mainly in AWS, but we do have some pleasure and some Google Cloud. And with that, I was telling Atif and Amir. It was interesting and they built a Cloud on site. They totally forgot about the networking aspect. So (laughs), you have ease of use for services and servers inside (indistinct) cloud, but networking is not really present, not to mention when it was built out, it wasn't made to go to competing Clouds. So most companies are facing this problem. How do you treat these environments as a single holistic environment? How do you turn things up, turn things down? How do you secure it, When every single one is different habits, selling unique ways of doing things? So that really was, how we ended up looking for an out Alkira, because I just kept looking at the costs and the profit print grow and grow and grow. And the complexity to a (indistinct) before is growing exponential. One change in one thing would lead to two changes to another. If you add another Cloud or you add another point on the network, you've got exponential growth and complexity, complexity, you have to deal with. So one stop shop. (chuckles) >> One stop shop and reducing that complexity. Talk to me about reducing complexity, and what you're accomplishing there. Especially, in the last year and a half as things have been so dynamic, shall we say? (chuckles) >> Yeah, well, I will say this. It was turnkey for the most part. It took a matter of months as opposed to years, because out of the box, there was a lot of integrations with the major network of players. So as of right now, you can buy firewalls, routing, VPC, things like this, they all exist, but they're not orchestrated together. Right? And then you have policies and security, again not orchestrating a different set of tools. So it really only took us two to three months to get it up and running, I acts, I just had a conversation (chuckles) with them when we were going to finish. So I think we'll be finishing this up completely in January and sometime. So, I was pretty sure. >> LISA: That's fantastic. So really, >> Yeah. >> Sorry Relaph fast time to market there with getting things implemented. Talk to me about from a business outcome perspective, you are CIO, what are some of the outcomes? That this technology is enabling you to deliver back to the business? >> Yeah, it really, the number 1, 2 big ones come to mind. One being able to provide them a secure enterprise. I know when there is the change it's made uniforms for our network without, some of older something's being forgotten about. So that's number one, security is big. You can imagine a company like more ever marquee brands, all brands, any company of marquee brands are targets today. That's number one. Number two is our time to market for eminent. So when we buy a company the time it takes us to get them to be completely part of Warner and therefore start realizing the business case and benefits sort of reasonably bought. Bought the company to begin with. So, we're buying a lot more and we're turning them up and turning those business cases up faster. But usually those cases would say things like six months to a year to integrate with us, and then we can unlock the set of benefits. Now it's more like, two to three months and you start to be able to lock the benefits sooner. And of course, those are different than a case by case basis, but that's. >> Sure, but significantly faster there, you're looking at a two to three X multiplier there, as you talked about. >> Ralph: right. >> Now, you mentioned multicloud Ralph. So here we are at re:Invent. I imagine part of your AWS as part of your Cloud infrastructure and they're a technology partner of ALkira's. >> Ralph: Correct. Yeah. So AWS is actually our biggest Cloud provider of the three, and yeah (laugh) they're their partner without cure. So Good. >> And Atif then you, Alkira's technology partner of AWS, correct? >> Yeas. Alkira is a technology partner of AWS, we are also available on AWS marketplace. So customers can consume, AlKira's platform from AWS marketplace as well. >> But given the fact that so many businesses in every industry are multicloud, I assume that you work with all the Cloud vendors. Atif Yeah? >> Absolutely. So our platform runs inside of the Cloud and runs in AWS is a Cloud as well. And from there it connects to multiple Clouds. So if customers need to connect to Azure or AWS from there or Oracle Cloud or any other Cloud, for that matter, they can connect from our platform and our platform is it scales horizontally. So as customers needs scale, it scales as well. And one of the key advantages is, it's consumed as a service. So there's no software to download or hardware to run for or to acquire for any of the customers. It's a software solution and it's consumed as a service. >> Got it. Ralph one on one more question for you before we wrap things up here, want to get your recommendations for IT Executives, CEOs, who might be in a similar situation to you, whether or not they are with a legacy organization, what are some of your recommendations that you say you need to be looking at a, B and C? >> Yeah, I would primarily say really need to be looking at some of these newer technologies that can help speed up, people, especially in this case to transition to the Cloud and that planning ahead of time, especially goal-setting, I find to be it's any of these places, providers is absolutely Paramount, because you can, if you don't make your own (indistinct) take that step forward and you can end up with shelter. So I make sure that it's very important that when you commit to that, you commit fully, you plan it out and you make sure you actually use it to get the benefits. One of my tech key is software. So. (chuckles) (Lisa Laughing) I'm a bit of it so. >> Well, you've been there and It costs a lot of money and it doesn't do any good. It doesn't move the business forward. And in this day and age, there is a competitor right behind the rear view mirror who might be smaller, more nimble, and more agile, who can take your place easily. >> Absolutely. >> If the organization isn't willing to take the risks and commit, as you said, Atif last question over for you, where are the customers go to learn more? I know you are at re:Invent your booth 1628, but what do you recommend folks go attendees of the event, as well as just other prospects to go to learn more about what you guys are delivering for companies like Warner Music Group. >> So if you're at re:Invent, please stop by our booth. And one of our Cloud specialists will give you a demo as well. So it's a very quick demo and you'll see, how we are reinventing networking for the Cloud narrow. You can also go to our website and you'll find a lot of information on our website. You can request a demo there as well. So look forward to seeing most of you at our booth and those who are not attending in person, please go visit our website. >> Lisa: Reinventing Networking. I like your play on words. They are Atif very appropriate. Gentlemen, thank you for joining me today talking about Alkira, Warner Music Group, what you guys are doing together and how this new early stage technology is really quite transformative. We appreciate your insights. >> Thank you. >> Thank you so much. >> For Ralph Munsen and Atif Khan, I'm Lisa Martin, and you're watching theCUBE's continuous coverage of AWS re:Invent 2021. Thanks for watching. (soft techno music)

Published Date : Dec 1 2021

SUMMARY :

and Atif Khan, the CTO of Alkira So glad to be here with you. and what it is that you deliver. and the Cloud networking by giving the audience? And I'm so glad to be here and some of the challenges that you had and Alkira seemed the best to provide that to us. mode during the pandemic at the time you loved, the gap in the market that you So the moment you bring Talk to us about Warner, And the complexity to a (indistinct) Especially, in the last year and a half So as of right now, you So really, fast time to market there with Bought the company to begin with. as you talked about. So here we are at re:Invent. of the three, So customers can consume, I assume that you work So if customers need to connect that you say you need to that when you commit to and It costs a lot of money and commit, as you said, So look forward to seeing what you guys are doing together and you're watching

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

AWSORGANIZATION

0.99+

Ralph MunsenPERSON

0.99+

Warner Music GroupORGANIZATION

0.99+

RalphPERSON

0.99+

Warner Music GroupORGANIZATION

0.99+

April of 2020DATE

0.99+

AmirPERSON

0.99+

Atif KhanPERSON

0.99+

AtifPERSON

0.99+

RobPERSON

0.99+

LisaPERSON

0.99+

six monthsQUANTITY

0.99+

WarnerORGANIZATION

0.99+

twoQUANTITY

0.99+

JanuaryDATE

0.99+

ViptelaORGANIZATION

0.99+

Warner Brothers PicturesORGANIZATION

0.99+

three monthsQUANTITY

0.99+

100 employeesQUANTITY

0.99+

1940DATE

0.99+

threeQUANTITY

0.99+

two changesQUANTITY

0.99+

Lisa LaughingPERSON

0.99+

Blake SheltonPERSON

0.99+

AlkiraPERSON

0.99+

Cardi BPERSON

0.99+

79 countriesQUANTITY

0.99+

TelecareORGANIZATION

0.99+

may of 2018DATE

0.99+

oneQUANTITY

0.99+

Warner brothersORGANIZATION

0.99+

AlkiraORGANIZATION

0.98+

1950DATE

0.98+

ed SheeranPERSON

0.98+

a yearQUANTITY

0.98+

both sidesQUANTITY

0.97+

over 100 guestsQUANTITY

0.97+

One changeQUANTITY

0.97+

OneQUANTITY

0.97+

Bruno MarsPERSON

0.96+

SD-WANORGANIZATION

0.96+

singleQUANTITY

0.96+

todayDATE

0.96+

ColdplayORGANIZATION

0.96+

AlKiraORGANIZATION

0.96+

first eventsQUANTITY

0.95+

WMTSORGANIZATION

0.95+

AWS reInvent 2021 Ralph Munsen and Atif Khan


 

(upbeat music) >> Welcome everyone to this CUBE coverage of AWS re:Invent 2021. We have a lot going on at this year's re:Invent with over 100 guests on the program, and I'm excited to welcome two of those guests here with me right now. We are joined by Ralph Munsen, the Chief Information Officer at Warner Music Group and Atif Khan, the CTO of Alkira and founder of Alkira as well. Gentlemen, welcome to the program. >> Thank you so much, Lisa. So glad to be here with you. >> Good to be here. >> Yeah. Good old fashioned Zoom is become our best friend in the last 22 months or so I'm losing count. Atif, I'd like to start with you. I know Alkira has been on the key before, but it's been a while and you guys are a relatively young company. Give the audience an overview of Alkira and what it is that you deliver. >> Absolutely, Lisa. So we started back in may of 2018, and the Cloud networking space, multicloud networking. And we came out of stealth mode back in April of 2020, and launched the company. In fact, one of our first events coming out of stealth mode was a Cuban interview back in April of 2020. So here at Telecare, what we are doing is we are building a Cloud platform, which allows customers to build a common network across multiple Clouds with built-in network and security services, with the policy and management layer on top full end to end visibility and governance capabilities. And all of this is delivered as a service and consumed as a service as well. And I'm very glad to be here with Ralph, who is from Warner Music Group and is one of our marquee customers. So I'll let Ralph introduce himself, and tell us a bit more about Alkira and WMTS Cloud journey. >> That sounds great. Ralph, why don't you start by giving the audience? I'm sure everyone knows Warner Music Group, but in case there's anyone out there that might not. Give us a little bit of a background. >> Yeah, so the Warner Music Group has been around since 1950 and 1940 even it had its roots at Hollywood and out of Warner Brothers Pictures, Today, say global company in 79 countries we operated. If the 100 employees and we have two major divisions, we have our era recorded music division, which has the labels people commonly turn to Atlantic records, Warner brothers records, and so forth. And then we have our publishing division, which is more a chapel, which is where our songwriters live. And of course we have some singer songwriters that are on both sides of our business. But now currently people may know our artists. We have ed Sheeran, Bruno Mars, Coldplay, Cardi B, Blake Shelton and I could go on and on. But exciting, great year, we're having one of our best years ever. And I'm so glad to be here and partnering with an Alkira. >> Excellent. I love all of those artists that you mentioned. Fantastic. So let's talk a little bit now Ralph about the backstory. Talk to me about the IT infrastructure at Warner Music Group, what you had there and some of the challenges that you had that you came to Alkira to solve. >> Yeah, well initially when I took over about five years ago now, we were very much a data center based business with traditional networking and IT functions. Additionally with our foreign affiliates, IT was sort of decentralized in the sense that a lot of the networking and data center components were left to regions. And so while we operated globally, we didn't really operate globally, at Warner among our affiliates. So one of the challenges was how do we get out of the data center? Cloud was new. One of the big things that were coming with big data, which is absolutely right for moving, going straight to the Cloud, especially if you don't have anything on-prem and how do we rationalize all of these different locations and conduct all the M&A work we've been doing? So it was quite a challenge, really. At the end, we wanted to have one view of the network, and now Alkira. I looked at many of companies and I'm curious in the best to provide that to us. So. >> Well, talk to me a little bit more about why Alkira, because as Atif was saying, they're very young. What came out of stealth mode during the pandemic Warner Music Group, being around since the 40s and 50s, the legacy institution, a great brand. What made you take a risk on such an early stage startup? >> Quite frankly, there was nothing in the space (chuckles) at the time you loved, there were companies that had components of it, of what Alkira does, which is basically network orchestration allowing us to use existing components. And nobody has the whole package, especially incorporating security. So, we figured why not take, take a chance? There's no, it won't hurt you no harm. And if anything is successful, it will give us a great ability to manage our network, much more efficiently taking things that took days down to hours and being able to do it much more efficiently with much fewer staff, as opposed to hiring a lot more because when you orchestrate all the components that are underneath, obviously it requires more bodies, more resources. >> Right. That efficiency and cost optimization is key there. Atif I have to ask you, talk to me about, this is only a few years ago, the gap in the market that you and your brothers saw a few years ago, when you founded the company, because as Rob was saying, there was nobody else in the market at the time that could do what you're doing. >> Yeah, absolutely. So Lisa, as you know, myself and Amir, we were also a part of the founding team of Viptela, which was the SD-WAN Company. So back in the day when we did SD-WAN, the requirement was to connect sites together. So if you go back like 5, 10, 5, 7, 10 years ago, networking was done to connect sites together, which could be remote sites, data centers, sites to data centers, all of that together. But fast forward, a few more years with the adoption of Cloud, requirements changed from the networking perspective. So now your network is not just connecting sites together, but most of the traffic now is from sites or users, which could be sitting anywhere. If you look at, what's going on? in the pandemic people are working from all across the globe. They are not just sitting in campuses or sites. So traffic patterns are from sites or users mostly to the Cloud or SaaS applications. So now networks also need to evolve and they need to be built inside the Cloud rather than from outside or connecting into the Cloud. So Cloud access is one capability, but building a network inside the Cloud becomes a requirement. And secondly, now it's not just only about connectivity because security becomes even more important because your security perimeter is changing as well. So securing all these Cloud networks becomes very, very complicated. And now as Ralph can tell you, majority of the enterprises have a multicloud strategy and each Cloud is done differently. So the moment you bring in multiple Clouds, multiple regions across the globe, it becomes so complicated for enterprises to build and manage. They need something, or a platform which makes it easy, gives them one way of doing networking, building a common network across whether you're connecting multiple Clouds or Clouds to your on-prem locations or Clouds to internet or sites to internet. So that's where we saw this gap and we decided to build Alkira to tackle this problem. >> Got it. So Rob, let's talk now about what you've implemented as a team was saying we live in this, in this work from anywhere hybrid multicloud world. Talk to us about Warner, what you implemented and maybe a little bit about your multicloud strategy, if you've got one. >> Ralph: Yeah. So over the last five years, Warner has migrated entirely into Cloud. And to this point before it's multicloud, we're mainly in AWS, but we do have some pleasure and some Google Cloud. And with that, I was telling Atif and Amir. It was interesting and they built a Cloud on site. They totally forgot about the networking aspect. So (laughs), you have ease of use for services and servers inside (indistinct) cloud, but networking is not really present, not to mention when it was built out, it wasn't made to go to competing Clouds. So most companies are facing this problem. How do you treat these environments as a single holistic environment? How do you turn things up, turn things down? How do you secure it, When every single one is different habits, selling unique ways of doing things? So that really was, how we ended up looking for an out Alkira, because I just kept looking at the costs and the profit print grow and grow and grow. And the complexity to a (indistinct) before is growing exponential. One change in one thing would lead to two changes to another. If you add another Cloud or you add another point on the network, you've got exponential growth and complexity, complexity, you have to deal with. So one stop shop. (chuckles) >> One stop shop and reducing that complexity. Talk to me about reducing complexity, and what you're accomplishing there. Especially, in the last year and a half as things have been so dynamic, shall we say? (chuckles) >> Yeah, well, I will say this. It was turnkey for the most part. It took a matter of months as opposed to years, because out of the box, there was a lot of integrations with the major network of players. So as of right now, you can buy firewalls, routing, VPC, things like this, they all exist, but they're not orchestrated together. Right? And then you have policies and security, again not orchestrating a different set of tools. So it really only took us two to three months to get it up and running, I acts, I just had a conversation (chuckles) with them when we were going to finish. So I think we'll be finishing this up completely in January and sometime. So, I was pretty sure. >> LISA: That's fantastic. So really, >> Yeah. >> Sorry Relaph fast time to market there with getting things implemented. Talk to me about from a business outcome perspective, you are CIO, what are some of the outcomes? That this technology is enabling you to deliver back to the business? >> Yeah, it really, the number 1, 2 big ones come to mind. One being able to provide them a secure enterprise. I know when there is the change it's made uniforms for our network without, some of older something's being forgotten about. So that's number one, security is big. You can imagine a company like more ever marquee brands, all brands, any company of marquee brands are targets today. That's number one. Number two is our time to market for eminent. So when we buy a company the time it takes us to get them to be completely part of Warner and therefore start realizing the business case and benefits sort of reasonably bought. Bought the company to begin with. So, we're buying a lot more and we're turning them up and turning those business cases up faster. But usually those cases would say things like six months to a year to integrate with us, and then we can unlock the set of benefits. Now it's more like, two to three months and you start to be able to lock the benefits sooner. And of course, those are different than a case by case basis, but that's. >> Sure, but significantly faster there, you're looking at a two to three X multiplier there, as you talked about. >> Ralph: right. >> Now, you mentioned multicloud Ralph. So here we are at re:Invent. I imagine part of your AWS as part of your Cloud infrastructure and they're a technology partner of ALkira's. >> Ralph: Correct. Yeah. So AWS is actually our biggest Cloud provider of the three, and yeah (laugh) they're their partner without cure. So Good. >> And Atif then you, Alkira's technology partner of AWS, correct? >> Yeas. Alkira is a technology partner of AWS, we are also available on AWS marketplace. So customers can consume, AlKira's platform from AWS marketplace as well. >> But given the fact that so many businesses in every industry are multicloud, I assume that you work with all the Cloud vendors. Atif Yeah? >> Absolutely. So our platform runs inside of the Cloud and runs in AWS is a Cloud as well. And from there it connects to multiple Clouds. So if customers need to connect to Azure or AWS from there or Oracle Cloud or any other Cloud, for that matter, they can connect from our platform and our platform is it scales horizontally. So as customers needs scale, it scales as well. And one of the key advantages is, it's consumed as a service. So there's no software to download or hardware to run for or to acquire for any of the customers. It's a software solution and it's consumed as a service. >> Got it. Ralph one on one more question for you before we wrap things up here, want to get your recommendations for IT Executives, CEOs, who might be in a similar situation to you, whether or not they are with a legacy organization, what are some of your recommendations that you say you need to be looking at a, B and C? >> Yeah, I would primarily say really need to be looking at some of these newer technologies that can help speed up, people, especially in this case to transition to the Cloud and that planning ahead of time, especially goal-setting, I find to be it's any of these places, providers is absolutely Paramount, because you can, if you don't make your own (indistinct) take that step forward and you can end up with shelter. So I make sure that it's very important that when you commit to that, you commit fully, you plan it out and you make sure you actually use it to get the benefits. One of my tech key is software. So. (chuckles) (Lisa Laughing) I'm a bit of it so. >> Well, you've been there and It costs a lot of money and it doesn't do any good. It doesn't move the business forward. And in this day and age, there is a competitor right behind the rear view mirror who might be smaller, more nimble, and more agile, who can take your place easily. >> Absolutely. >> If the organization isn't willing to take the risks and commit, as you said, Atif last question over for you, where are the customers go to learn more? I know you are at re:Invent your booth 1628, but what do you recommend folks go attendees of the event, as well as just other prospects to go to learn more about what you guys are delivering for companies like Warner Music Group. >> So if you're at re:Invent, please stop by our booth. And one of our Cloud specialists will give you a demo as well. So it's a very quick demo and you'll see, how we are reinventing networking for the Cloud narrow. You can also go to our website and you'll find a lot of information on our website. You can request a demo there as well. So look forward to seeing most of you at our booth and those who are not attending in person, please go visit our website. >> Lisa: Reinventing Networking. I like your play on words. They are Atif very appropriate. Gentlemen, thank you for joining me today talking about Alkira, Warner Music Group, what you guys are doing together and how this new early stage technology is really quite transformative. We appreciate your insights. >> Thank you. >> Thank you so much. >> For Ralph Munsen and Atif Khan, I'm Lisa Martin, and you're watching theCUBE's continuous coverage of AWS re:Invent 2021. Thanks for watching. (soft techno music)

Published Date : Nov 15 2021

SUMMARY :

and Atif Khan, the CTO of Alkira So glad to be here with you. and what it is that you deliver. and the Cloud networking by giving the audience? And I'm so glad to be here and some of the challenges that you had So one of the challenges was mode during the pandemic at the time you loved, the gap in the market that you So the moment you bring Talk to us about Warner, And the complexity to a (indistinct) Especially, in the last year and a half So as of right now, you So really, fast time to market there with Bought the company to begin with. as you talked about. So here we are at re:Invent. of the three, So customers can consume, I assume that you work So if customers need to connect that you say you need to that when you commit to and It costs a lot of money and commit, as you said, So look forward to seeing what you guys are doing together and you're watching

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

RobPERSON

0.99+

Ralph MunsenPERSON

0.99+

AWSORGANIZATION

0.99+

Warner Music GroupORGANIZATION

0.99+

RalphPERSON

0.99+

Warner Music GroupORGANIZATION

0.99+

April of 2020DATE

0.99+

Atif KhanPERSON

0.99+

AmirPERSON

0.99+

LisaPERSON

0.99+

AtifPERSON

0.99+

six monthsQUANTITY

0.99+

WarnerORGANIZATION

0.99+

twoQUANTITY

0.99+

JanuaryDATE

0.99+

ViptelaORGANIZATION

0.99+

Warner Brothers PicturesORGANIZATION

0.99+

100 employeesQUANTITY

0.99+

1940DATE

0.99+

threeQUANTITY

0.99+

three monthsQUANTITY

0.99+

Blake SheltonPERSON

0.99+

two changesQUANTITY

0.99+

Lisa LaughingPERSON

0.99+

Cardi BPERSON

0.99+

79 countriesQUANTITY

0.99+

TelecareORGANIZATION

0.99+

may of 2018DATE

0.99+

AlkiraORGANIZATION

0.99+

Warner brothersORGANIZATION

0.99+

oneQUANTITY

0.99+

One changeQUANTITY

0.98+

1950DATE

0.98+

ed SheeranPERSON

0.98+

OneQUANTITY

0.98+

both sidesQUANTITY

0.97+

a yearQUANTITY

0.97+

over 100 guestsQUANTITY

0.97+

One stop shopQUANTITY

0.97+

singleQUANTITY

0.97+

Bruno MarsPERSON

0.96+

AlKiraORGANIZATION

0.96+

ColdplayORGANIZATION

0.96+

James Hodge


 

>> Well, hello everybody, John Walls here on theCUBE and continuing our coverage. So splunk.com for 21, you know, we talk about big data these days, you realize the importance of speed, right? We all get that, but certainly Formula One Racing understands speed and big data, a really neat marriage there. And with us to talk about that is James Hodge, who was the global vice president and chief strategy officer international at Splunk. James, good to see it today. Thanks for joining us here on theCUBE. >> Thank you, John. Thank you for having me and yeah, the speed of McLaren. Like I'm, I'm all for it today. >> Absolutely. And I find it interesting too, that, that you were telling me before we started the interview that you've been in Splunk going on nine years now. And you remember being at splunk.com, you know, back in the past other years and watching theCUBE and here you are! you made it. >> I know, I think it's incredible. I love watching you guys every single year and kind of the talk that guests. And then more importantly, like it reminds me of conf for every time we see theCUBE, no matter where you are, it reminds me of like this magical week there's dot com for us. >> Well, excellent. I'm glad that we could be a part of it at once again and glad you're a part of it here on theCUBE. Let's talk about McLaren now and the partnership, obviously on the racing side and the e-sports side, which is certainly growing in popularity and in demand. So just first off characterize for our audience, that relationship between Splunk and McLaren. >> Well, so we started the relationship almost two years ago. And for us it was McLaren as a brand. If you think about where they were, they recently, I think it's September a Monza. They got a victory P1 and P2. It was over 3200 days since their last victory. So that's a long time to wait. I think of that. There's 3000 days of continual business transformation, trying to get them back up to the grid. And what we found was that ethos, the drive to digital the, the way they're completely changing things, bringing in kind of fluid dynamics, getting people behind the common purpose that really seem to fit the Splunk culture, what we're trying to do and putting data at the heart of things. So kind of Formula One and McLaren, it felt a really natural place to be. And we haven't really looked back since we started at that partnership. It's been a really exciting last kind of 18 months, two years. >> Well, talk a little bit about, about the application here a little bit in terms of data cars, the, the Formula One cars, the F1 cars, they've got hundreds of sensors on them. They're getting, you know, hundreds of thousands or a hundred thousand data points almost instantly, right? I mean, there's this constant processing. So what are those inputs basically? And then how has McLaren putting them to use, and then ultimately, how is Splunk delivering on that from McLaren? >> So I learned quite a lot, you know, I'm, I'm, I been a childhood Formula One fan, and I've learned so much more about F1 over the last kind of couple of years. So it actually starts with the car going out on the track, but anyone that works in the IT function, the car can not go out on track and less monitoring from the car actually is being received by the garage. It's seen as mission critical safety critical. So IT, when you see a car out and you see the race engineer, but that thumbs up the mechanical, the thumbs up IT, get their vote and get to put the thumbs up before the car goes out on track there around about 300 sensors on the car in practice. And there were two sites that run about 120 on race day that gets streamed on a two by two megabits per second, back to the FIA, the regulating body, and then gets streams to the, the garage where they have a 32 unit rack near two of them that have all of their it equipment take that data. They then stream it over the internet over the cloud, back to the technology center in working where 32 race engineers sit in calm conditions to be able to go and start to make decisions on when the car should pit what their strategy should be like to then relate that back to the track side. So you think about that data journey alone, that is way more complicated and what you see on TV, you know, the, the race energy on the pit wall and the driver going around at 300 kilometers an hour. When we look at what Splunk is doing is making sure that is resilient. You know, is the data coming off the car? Is it actually starting to hit the garage when it hits that rack into the garage, other than streaming that back with the right latency back to the working technology center, they're making sure that all of the support decision-making tools there are available, and that's just what we do for them on race weekend. And I'll give you one kind of the more facts about the car. So you start the beginning of the season, they launched the car. The 80% of that car will be different by the end of the season. And so they're in a continual state of development, like constantly developing to do that. So they're moving much more to things like computational fluid dynamics applications before the move to wind tunnel that relies on digital infrastructure to be able to go and accelerate that journey and be able to go make those assumptions. That's a Splunk is becoming the kind of underpinning of to making sure those mission critical applications and systems are online. And that's kind of just scratching the surface of kind of the journey with McLaren. >> Yeah. So, so what would be an example then maybe on race day, what's a stake race day of an input that comes in and then mission control, which I find fascinating, right? You've got 32 different individuals processing this input and then feeding their, their insights back. Right. And so adjustments are being made on the fly very much all data-driven what would be an example of, of an actual application of some information that came in that was quickly, you know, recorded, noted, and then acted upon that then resulted in an improved performance? >> Well, the most important one is pit stop strategy. It can be very difficult to overtake on track. So starting to look at when other teams go into the pit lane and when they come out of the, the pit lane is incredibly important because it gives you a choice. Do you stay also in your current set of tires and hope to kind of get through that team and kind of overtake them, or do you start to go into the pits and get your fresh sets of tires to try and take a different strategy? There are three people in mission control that have full authority to go and make a Pit lane call. And I think like the thing that really resonated for me from learning about McLaren, the technology is amazing, but it's the organizational constructs on how they turn data into an action is really important. People with the right knowledge and access to the data, have the authority to make a call. It's not the team principle, it's not the person on the pit wall is the person with the most amount of knowledge is authorized and kind of, it's an open kind of forum to go and make those decisions. If you see something wrong, you are just as likely to be able to put your hand up and say, something's wrong here. This is my, my decision than anyone else. And so when we think about all these organizations that are trying to transform the business, we can learn a lot from Formula One on how we delegate authority and just think of like technology and data as the beginning of that journey. It's the people in process that F1 is so well. >> We're talking a lot about racing, but of course, McLaren is also getting involved in e-sports. And so people like you like me, we can have that simulated experience to gaming. And I know that Splunk has, is migrating with McLaren in that regard. Right. You know, you're partnering up. So maybe if you could share a little bit more about that, about how you're teaming up with McLaren on the e-sports side, which I'm sure anybody watching this realizes there's a, quite a big market opportunity there right now. >> It's a huge market opportunity is we got McLaren racing has, you know, Formula One, IndyCar and now extreme E and then they have the other branch, which is e-sports so gaming. And one of the things that, you know, you look at gaming, you know, we were talking earlier about Ted Lasso and, you know, the go to the amazing game of football or soccer, depending on kind of what side of the Atlantic you're on. I can go and play something like FIFA, you know, the football game. I can be amazing at that. I have in reality, you know, in real life I have two left feet. I am never going to be good at football however, what we find with e-sports is it makes gaming and racing accessible. I can go and drive the same circuits as Lando Norris and Daniel Ricardo, and I can improve. And I can learn like use data to start to discover different ways. And it's an incredibly expanding exploding industry. And what McLaren have done is they've said, actually, we're going to make a professional racing team, an e-sports team called the McLaren Shadow team. They have this huge competition called the Logitech KeyShot challenge. And when we looked at that, we sort of lost the similarities in what we're trying to achieve. We are quite often starting to merge the physical world and the digital world with our customers. And this was an amazing opportunity to start to do that with the McLaren team. >> So you're creating this really dynamic racing experience, right? That, that, that gives people like me, or like our viewers, the opportunity to get even a better feel for, for the decision-making and the responsiveness of the cars and all that. So again, data, where does that come into play there? Now, What, what kind of inputs are you getting from me as a driver then as an amateur driver? And, and how has that then I guess, how does it express in the game or expressed in, in terms of what's ahead of me to come in a game? >> So actually there are more data points that come out of the F1 2021 Codemasters game than there are in Formula One car, you get a constant stream. So the, the game will actually stream out real telemetry. So I can actually tell your tire pressures from all of your tires. I can see the lateral G-Force longitudinal. G-Force more importantly for probably amateur drivers like you and I, we can see is the tire on asphalt, or is it maybe on graphs? We can actually look at your exact position on track, how much accelerator, you know, steering lock. So we can see everything about that. And that gets pumped out in real time, up to 60 Hertz. So a phenomenal amount of information, what we, when we started the relationship with McLaren, Formula One super excited or about to go racing. And then at Melbourne, there's that iconic moment where one of the McLaren team tested positive and they withdrew from the race. And what we found was, you know, COVID was starting and the Formula One season was put on hold. The FIA created this season and called i can't remember the exact name of it, but basically a replica e-sports gaming F1 series. We're using the game. Some of the real drivers like Lando, heavy gamer was playing in the game and they'd run that the same as race weekends. They brought celebrity drivers in there. And I think my most surreal zoom call I ever was on was with Lando Norris and Pierre Patrick Aubameyang, who was who's the arsenal football captain, who was the guest driver in the series to drive around Monaco and Randy, the head of race strategy as McLaren, trying to coach him on how to go drive the car, what we ended up with data telemetry coming from Splunk. And so Randy could look out here when he pressing the accelerator and the brake pedal. And what was really interesting was Lando was watching how he was entering corners on the video feed and intuitively kind of coming to the same conclusions as Randy. So kind of, you could see that race to intuition versus the real stats, and it was just incredible experience. And it really shows you, you know, racing, you've got that blurring of the physical and the virtual that it's going to be bigger and bigger and bigger. >> So to hear it here, as I understand what you were just saying now, the e-sports racing team actually has more data to adjust its performance and to modify its behaviors, then the real racing team does. Yep. >> Yeah, it completely does. So what we want to be able to do is turn that into action. So how do you do the right car setup? How do you go and do the right practice laps actually have really good practice driver selection. And I think we're just starting to scratch the surface of what really could be done. And the amazing part about this is now think of it more like a digital twin, what we learn on e-sports we can actually say we've learned something really interesting here, and then maybe a low, you know, if we get something wrong, it may be doesn't matter quite as much as maybe getting an analytics wrong on race weekend. >> Right. >> So we can actually start to look and improve through digital and then start to move that support. That's over to kind of race weekend analytics and supporting the team. >> If I could, you know, maybe pun intended here, shift gears a little bit before we run out of time. I mean, you're, you're involved on the business side, you know, you've got, you know, you're in the middle east Africa, right? You've got, you know, quite an international portfolio on your plate. Now let's talk about just some of the data trends there for our viewers here in the U S who maybe aren't as familiar with what's going on overseas, just in terms of, especially post COVID, you know, what, what concerns there are, or, or what direction you're trying to get your clients to, to be taking in terms of getting back to work in terms of, you know, looking at their workforce opportunities and strengths and all those kinds of things. >> I think we've seen a massive shift. I think we've seen that people it's not good enough just to be storing data its how do you go and utilize that data to go and drive your business forwards I think a couple of key terms we're going to see more and more over the next few years is operational resilience and business agility. And I'd make the assertion that operational resilience is the foundation for the business agility. And we can dive into that in a second, but what we're seeing take the Netherlands. For example, we run a survey last year and we found that 87% of the respondents had created new functions to do with data machine learning and AI, as all they're trying to do is go and get more timely data to front line staff to go. And next that the transformation, because what we've really seen through COVID is everything is possible to be digitized and we can experiment and get to market faster. And I think we've just seen in European markets, definitely in Asia Pacific is that the kind of brand loyalty is potentially waning, but what's the kind of loyalty is just to an experience, you know, take a ride hailing app. You know, I get to an airport, I try one ride hailing app. It tells me it's going to be 20 minutes before a taxi arrives. I'm going to go straight to the next app to go and stare. They can do it faster. I want the experience. I don't necessarily want the brand. And we're find that the digital experience by putting data, the forefront of that is really accelerating and actually really encouraging, you know, France, Germany are actually ahead of UK. Let's look, listen, their attitudes and adoption to data. And for our American audience and America, America is more likely, I think it's 72% more likely to have a chief innovation officer than the rest of the world. I think I'm about 64% in EMEA. So America, you are still slightly ahead of us in terms of kind of bringing some of that innovation that. >> I imagine that gap is going to be shrinking though I would think. >> It is massively shrinking. >> So before we, we, we, we are just a little tight on time, but I want to hear about operational resilience and, and just your, your thought that definition, you know, define that for me a little bit, you know, put a little more meat on that bone, if you would, and talk about why, you know, what that is in, in your thinking today and then why that is so important. >> So I think inputting in, in racing, you know, operational resilience is being able to send some response to what is happening around you with people processing technology, to be able to baseline what your processes are and the services you're providing, and be able to understand when something is not performing as it should be, what we're seeing. Things like European Union, in financial services, or at the digital operational resilience act is starting to mandate that businesses have to be operational in resilient service, monitoring fraud, cyber security, and customer experience. And what we see is really operational resilience is the amount of change that can be absorbed before opportunities become risk. So having a stable foundation of operational resilience allows me to become a more agile business because I know my foundation and people can then move and adjust quickly because I have the awareness of my environment and I have the ability to appropriately react to my environment because I've thought about becoming a resilient business with my digital infrastructure is a theme. I think we're going to see in supply chain coming very soon and across all other industries, as we realize digital is our business. Nowadays. >> What's an exciting world. Isn't it, James? That you're, that you're working in right now. >> Oh, I, I love it. You know, you said, you know, eight and an eight and a half years, nine years at Splunk, I'm still smiling. You know, it is like being at the forefront of this diesel wave and being able to help people make action from that. It's an incredible place to be. I, is liberating and yeah, I can't even begin to imagine what's, you know, the opportunities are over the next few years as the world continually evolves. >> Well, every day is a school day, right? >> It is my favorite phrase >> I knew that. >> And it is, James Hodge. Thanks for joining us on theCUBE. Glad to have you on finally, after being on the other side of the camera, it's great to have you on this side. So thanks for making that transition for us. >> Thank you, John. You bet James Hodge joining us here on the cube coverage of splunk.com 21, talking about McLaren racing team speed and Splunk.

Published Date : Oct 18 2021

SUMMARY :

So splunk.com for 21, you know, Thank you for having me and back in the past other I love watching you guys every obviously on the racing ethos, the drive to digital the, about the application here a before the move to wind tunnel that was quickly, you have the authority to make a call. And I know that Splunk has, I can go and drive the same the opportunity to get the series to drive around and to modify its behaviors, And the amazing part about this and then start to move that support. of the data trends there for the next app to go and stare. going to be shrinking though that definition, you know, the ability to appropriately What's an exciting it is like being at the it's great to have you on this side. here on the cube coverage of

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
JohnPERSON

0.99+

RandyPERSON

0.99+

John WallsPERSON

0.99+

Pierre Patrick AubameyangPERSON

0.99+

LandoPERSON

0.99+

JamesPERSON

0.99+

James HodgePERSON

0.99+

McLarenORGANIZATION

0.99+

Ted LassoPERSON

0.99+

Daniel RicardoPERSON

0.99+

80%QUANTITY

0.99+

Asia PacificLOCATION

0.99+

FIAORGANIZATION

0.99+

32 unitQUANTITY

0.99+

3000 daysQUANTITY

0.99+

last yearDATE

0.99+

72%QUANTITY

0.99+

87%QUANTITY

0.99+

two sitesQUANTITY

0.99+

nine yearsQUANTITY

0.99+

twoQUANTITY

0.99+

European UnionORGANIZATION

0.99+

NetherlandsLOCATION

0.99+

Lando NorrisPERSON

0.99+

32 race engineersQUANTITY

0.99+

SplunkORGANIZATION

0.99+

two yearsQUANTITY

0.99+

three peopleQUANTITY

0.99+

MelbourneLOCATION

0.99+

hundreds of thousandsQUANTITY

0.99+

FIFATITLE

0.99+

32 different individualsQUANTITY

0.99+

20 minutesQUANTITY

0.99+

21QUANTITY

0.98+

U SLOCATION

0.98+

todayDATE

0.98+

over 3200 daysQUANTITY

0.97+

AmericaLOCATION

0.97+

two left feetQUANTITY

0.97+

asphaltTITLE

0.97+

splunk.comORGANIZATION

0.97+

east AfricaLOCATION

0.97+

about 120QUANTITY

0.96+

300 kilometers an hourQUANTITY

0.96+

two megabits per secondQUANTITY

0.96+

oneQUANTITY

0.96+

SeptemberDATE

0.95+

Formula OneEVENT

0.95+

SplunkPERSON

0.95+

COVIDPERSON

0.94+

UKLOCATION

0.94+

firstQUANTITY

0.94+

18 monthsQUANTITY

0.93+

about 64%QUANTITY

0.93+

a hundred thousand data pointsQUANTITY

0.92+

Formula One RacingORGANIZATION

0.92+

aroundQUANTITY

0.92+

splunk.comOTHER

0.92+

two years agoDATE

0.9+

eight and an eight and a half yearsQUANTITY

0.89+

up to 60 HertzQUANTITY

0.89+

hundreds of sensorsQUANTITY

0.89+

IndyCarORGANIZATION

0.89+

MonacoLOCATION

0.88+

McLaren ShadowORGANIZATION

0.87+

Sudheesh Nair, ThoughtSpot | CUBE Conversation


 

>>mhm >>Hello welcome to this cube conversation here in Palo alto California and john for with the cube we had a great conversation around the rise of the cloud and the massive opportunities and challenges around analytics data ai suggestion. Air ceo of thought spot is here with me for conversation. Great to see you. Welcome back to the cube. How are you? >>Well john it is so good to be back. I wish that we could do one of those massive set up that you have and do this face to face but zoom is not bad. >>You guys are doing very well. We have been covering you guys been covering the progress um great technology enabled business. You're on the wave of this cloud analytics you're seeing, we've seen massive changes and structural changes for the better. It's a tailwind for anyone in the cloud data business. And you also on the backdrop of all that the Covid and now the covid is looking at coming out of covid with growth strategies. People are building modern or modernizing their infrastructure and data is not just a department, it's everywhere. You guys are in the middle of this. Take us through what's the update on thought spot. What are you guys doing? What do you see the market right now? Honestly, delta variants coming coming strong but we think will be out of this soon. Where where are >>we look I think it all starts with the users like you said the consumers are demanding more and more from the business they are interacting with. You're no longer happy with being served like uh I'm gonna put you all in a bucket and then Delaware services to you. Everyone's like look look at me, I have likes and dislikes that is probably going to be different from someone that you think are similar to me. So unless you get to know me and deliver bespoke services to me, I'm gonna go somewhere else who does that And the call that the way you do that is through the data that I'm giving to you. So the worst thing you can do is to take my data and still treat me like an average and numbers and what's happening with the cloud is that it is now possible and it wasn't okay. So I grew up in India where newspapers will always have stock market summary on like one full page full of takers and prices and the way it used to work is that you wake up in the morning you look at the newspaper, I don't know if you have had the same thing and then you call your broker is based on in place of that. Can you imagine doing that now? I mean the information is at your fingertips. Hurricane IDa either is actually going to enter in Louisiana somewhere. What good is it? Yesterday morning state on this morning state if I'm trying to make a decision on whether I should pack my stuff and move away or you know finding to from home depot supply chain manager. I shouldn't figure out what should I be doing for Louisiana in the next two days, this is all about the information that's available to you. If you plan to use it and deliver better services for your consumer cloud makes it possible. >>You know, it's interesting you mentioned that the old way things were it seems so slow, then you got the 15 minute quotes, then there's now a real time. Everything has to be real time. And clearly there's two major things happening at the same time which makes exciting the business model and the competitive advantages for leaders and business to use data is critical but also on the developer side where apps are being developed if you don't have the data access, the machine learning won't work well. So as machine learning becomes really courted driving ai this modern analytics cloud product that you guys announced brings to bear kind of two major lifts the developer app modernization as well as competitive advantage for the companies that need to deploy this. So you guys have announced this modern approach analytics cloud, so to speak. What are some of the challenges that companies are having? Because you gotta, if you hit both of those you're gonna right a lot of value. What are some of the challenges for people who want to do this modern cloud? >>I think the challenge is basically all inside in the company. If you ask companies why are they failing to modernize? They will point to what's inside, it's not outside the technology is there the stack is the vendors are there, It is sometimes lack of courage at the leadership level which is a huge problem. I'll give an example. Uh, we have recently announced what we call thoughts part everywhere, which is our way of looking at how to modernize and bring the data inside that you're looking forward to where you are because Lord knows we all have enough apps on our Octa or a single sign on. The last thing you need is one more how no matter how good it is, they don't want to log into yet under their tool, whether it's thought spot or not. But the insights that you are talking about needs to be there when you need. And the difference is uh, the fundamental approach of data analytics was built on embedded model. You know what we are proposing is what we call data apps. So the difference between data apps and the typical dashboard being embedded into your analytics model is sort of like think of it. Uh newspapers telephones and the gap in between. So there is newspapers radio that is walkie talkie and telephone. They're all different and newspapers get printed and it comes to you and you read in the morning, you can talk back to it, you can drag and drop, you can change it right walkie talkies on the other hand, you know, you could have one conversation then come back to that. Whereas phone, you can have true direction conversation? They're all different if you think of embedding it is sort of like the newspaper, the information that you can't talk back. So somebody resembling something that came out monday, you're going to a board meeting on Wednesday and you look at that and make decisions. That is not enough in the new world, you just can't do that. It's not about what a lot of tools can actually answer what the real magic the real value for customers are unlocked when you ask three subsequent questions and answer them and they will come down to when you hear what you have to know. So what? Right and then what if and then the last is what next Imagine you can answer those three questions every business person every time no matter how powerful the dashboard is, they will always have the next question. What? So what? Okay the business customers are turning so what is it good, is it bad? Is it normal or the next question is like now what what do I do with it two, the ability to take all these three questions so what and what a fun. Now what? That requires true interactivity, you know, start with an intent and with an action and that is what we are actually proposing with the data apps which is only possible if you're sitting on top of a snowflake or red shift kind of really powerful and massive cloud data warehouse where the data comes and moves with agility. >>So how has this cloud data model rewritten the rules of business? Because what you're bringing up is essentially now full interactivity really getting in, getting questions that are iterating and building on context to each other. But with all this massive cloud data, people are really excited by this. How is it changing business than the rules of business? >>Yeah. So think about, I mean topical things like there is a hurricane able to enter, hit the cost of the United States. It's a moving target. No one knows exactly where it is going to be. There is only 15 models from here. 10, 10 models from Europe that's going to predict which way it's going to take every millimeter change in that map is going to have significant consequences for lives and resources and money. Right. This is true for every business. What cloud does this? Uh you have your proprietary data for example, let's say you're a bank and you have proprietary data, you're launching a new product And the propriety data was 2025 extremely valuable. But what what's not proprietary but what is available to you? Which could make that data so much more relevant if you layer them on top census data, this was a census here. The census data is updated. Do you not want that vaccination leader? We clearly know that purchasing power parity will vary based on vaccinations and county by county. But is that enough? You need to have street by street is county data enough. If you're going to open startup, Mr Starbucks? No, you probably want to know much more granular data. You wanna know traffic. Is the traffic picking up business usually an office space where people are not coming to office or is it more of a shopping mall where people are still showing all of these data is out there for you? What cloud is making it possible? Unlike the old era where you know, your data is an SFP oracle or carry later in your data center, it's available for you with a matter of clicks. What thought sport modern analytics. Cloud is a simple thing. We are the front end to bring all of this data and make sense of it. You can sit on top of any cloud data and then interact with a complete sort of freedom without compromising on security, compliance or relevance. And what happens is the analysts, the people who are responsible for bringing the data and then making sure that it is secure and delivered. They are no longer doing incremental in chart updates and dashboard updates. What they're doing is solving business problems, business people there freely interacting and making bigger decisions. That actually adds value to their consumers. This is what your customers are looking for, your users are looking for and if you're not doing it, your competitor will do that. So this is why cloud is not a choice for you. It's not an option for you. It is the only way and if you fail to take that back the other way is taking the world out of a cliff. >>Yeah, that's I love it. But I want to get this uh topic of thoughts about anywhere, but I want to just close out on this whole idea of modern cloud scale analytics. What technology under the hood do you guys see that customers should pay attention to with thought spot and in general because the scale there. So is it just machine learning? We hear data lakes, you know, you know different configurations of that. Machine learning is always thrown around like a buzzword. What new technology capability should every executive by your customer look for when it comes to really doing analytics, modern in the cloud >>analytics has to be near real time, Which means what two things speed at scale, make sure it's complex, it can deal with complexity in data structure. Data complexity is a huge problem. Now imagine doing that at scale and then delivering with performance. That means you have to rethink Look Tableau grew out of excellent worksheets that is the market leader, it is a $40 billion dollar market with the largest company having only a billion dollars in revenue. This is a massive place where the problems need to be solved differently. So the underlying technology to me are like I said, these three things, number one cannot handle the cloud scale, you will have hundreds of billions of rows of data that you brought. But when you talk about social media sentiment of customers, analysis of traffic and weather patterns, all of these publicly available valuable data. We're talking trillions of rows of data. So that is scale. Now imagine complexity. So financial sector for example, there is health care where you know some data is visible, some data is not visible, some some is public assumption not or you have to take credit data and let it on top of your marketing data. So it becomes more complex. And the last is when you answer ask a question, can you deliver with absolute confidence that you're giving the right answer With extremely high performance and to do that you have to rebuild the entire staff. You cannot take your, you know, stack that was built in 1990s and so now we can do search So search that is built for these three things with the machine learning and ai essentially helping at every step of the way so that you're not throwing all this inside directly to a human, throw it to a i engine and the ai engine curates what is relevant to you, showing it to you. And then based on your interaction with that inside, I improve my own logic so that the next interaction, the next situation is going to be significantly better. My point is you cannot take a triple a map and then try to act like this google maps. One is built presuming and zoom out and learn from you. The other one is built to give you rich information but doesn't talk back. So the staff has to be fundamentally rebuilt for the club. That's what he's doing. >>I love I love to buy direction. I love the interactivity. This topic of thought spot everywhere, which you mentioned at the beginning of this conversation, you mentioned data apps which by the way I love that concept. I want to do a drill down on that. Uh I saw data marketplace is coming somewhat working but I think it's going to get it better. I love that idea of an app um, and using as developers but you also mentioned embedded analytics. You made a comment about that. So I gotta ask you what's the difference between data apps and embedded analytics? >>Embedded analytics means that uh you know the dashboards that you love but the one that doesn't talk back to you is going to be available inside the app that you built for your other So if a supply chain app that was built by let's say accenture inside that you haven't had your dashboard without logging into tablet. Great. But what you do, what's the big deal? It is the same thing. My point is like I said every time a business user sees a chart. The questions are going to come up. The next 10 question is where the values on earth for example on Yelp imagine if you will piece about I'm hungry. I want to find a restaurant and it says go to this burrito place. It doesn't work like that. It's not good enough. The reason why yell towards is because I start with an intent. I'm hungry. Okay show me all restaurants. Okay I haven't had about it for a while. Let me see the photos. Let me read the reviews. Let me see if my friends have eaten, let me see some menu. Can I walk there? I do all of this but just what underneath it. There is a rich set of data that probably helped have their own secret source and reviews and then you have google map powering some of them. But I don't care all of that is coming together to deliver a seamless experience that satisfies my hunger. Which will be very different from if you use the same map at the same place you might go to an italian place. I go to bed right. That is the power of a data app in business people are still sitting with this. I am hungry. I gotta eat burrito. That's not how it should be in the new world. A business user should have the freedom to add exactly what the customers require looking for and solve that problem without delay. That means every application should be power and enriched with the data where you can interact and customized. That is not something that enterprise customers are actually used to and to do that you need like I said a I and search powering like the google map underneath it, but you need an app like a yelp like app, that's what we deliver. So for example, uh just last week we delivered a service now app on snowflake. You know, it just changes the game. You are thinking about customer cases. You're a large company, you have support coming from Philippines and India some places the quality is good. Some places bad dashboards are not good enough saying that okay, 17% of our customers are unhappy but we are good. That's not the world we live in. That is the tyranny of >>average, >>17% were unhappy. You got to solve for them. >>You mentioned snowflake and they had their earnings. David and I were commenting about how some of the analysts got it all wrong. And you bring up a really good point that kind of highlights the real trend. Not so much how many new customers they got. But there do what customers are doing more. Right? So, so what's happening is that you're starting to see with data apps, it does imply Softwares in there because it's it's application. So the software wrapping around data. This is interesting because people that are using the snowflakes of the world and thought spot your software and your platform, they're doing more with data. So it's not so much. I use snowflake, I use snowflake now I'm going to do more with it. That's the scale kicking. So this is an opportunity to look at that more equation. How do you talk >>with >>when you see that? Because that's the real thing is like, okay, that's I bought software as a service. But what's the more that's happening? What do you see >>that is such an important point? Even I haven't thought about it that john but you're absolutely right. That is sometimes people think of snowflake is taking care of it and no. Yeah, yes, Sarah later used to store once and zeros and they're moving it into club. That is not the point. Like I said, marketplace as an example when you are opening it up for for example, bringing the entire world's data with one click accessible to you securely. That is something you couldn't do on number two. You can have like 100 suppliers and all of a sudden you can now take a single copy of data and then make it available to all of them without actually creating multiple copies and control it differently. That's not something without cloudy, potentially could do. So things like that are fundamentally different. It is much more than like one plus one equals two. It is one plus one is 33. Like our view is that when you are re platform ng like that, you have to think from customer first. What does the customer do? The customer care that you meant from Entre into cloud or event from Teradata snowflake. No, they will care if their lives are better. Are they able to get better services are able to get it faster. That's what it is. So to me it is very simple. The destiny of an insight or data information is action, right? Imagine you're driving a car and if your car updates the gas tank every monday morning, imagine how you know, stressful your life will be for the whole week. I have to wait until next monday wanting to figure out what, whether I have enough gas or not, that's not the new world, that information is there, you need to have it real time and act on it. If you go through the Tesla you realize now that you know, I'm never worried about mileage because it is going to take me to the supercharger because it knows what I need to get to, it knows how long it is going to be, how bad the traffic is. It is synthesizing all of that to give me peace of mind. >>So this is a great >>conversation. That's a >>great question. It's a great conversation because it's really kind of brings in kind of what's happening, you see successful companies that are working with cloud scale and data like you're talking about, it's you get in there, you get the data, the data apps and all of a sudden you hit it, you hit the value equation and it's like almost like discovering oil all of a sudden you have a gusher and then people just see massive increase in value. It's not like the outcome, it's kind of there, you've got to kind of get in there and this is the scale piece and you see people having strategies to do that, they say okay we're gonna get in there, we're going to use the data to iterate but also watch the data learn where's that value, This is that more trend and and there's a successful of the developing. So I have to ask you when you, when you talk about people and culture, um that's not the way it used to be, used to be like okay I'm buying an outcome. I deployed some software mechanisms and at the end of the day there's some value there. Maybe I write it off maybe I, you know, overtime charges and some accounting thing. All changed the culture and the people in charge now are transforming the management techniques. What do you see as a successful mindset for a customer as they managed through these new paradigms and new new success formulas. >>I see a fork in leadership when it comes to courage. There are people with the spine and there are people without the spine and the ones with the spine are absolutely killing it. They are unafraid. They are not saying, look, I'm just going to stick with the incumbents that I've known for the last 20 years. Look, I used to drive a Toyota forever because I love the Toyota. And then you know after Nutanix IPO went to Lexus still Toyota because it's reliable. I don't, I'm not a huge card person. It works. But guess what? I knew they were missing Patrick and I care about the environment. I don't want to keep pushing hydrocarbons out there. It's not politics. I just don't like burning stuff into the earth atmosphere. So when Tesla came out, it's not like I love the quality I don't personally like alone mask, you know after that Thailand fiasco of cave rescue and all of that. But I can clearly see that Toyota is not going to catch up to Tesla in the next 10 years. And guess what? My loyalty is much more to doing the right thing for my family and to the world. And I switched this is what business leaders need to know. They can't simply say, well, tabloid as search to. They're not as good as thought sports. We'll just stick with them because they have done with us. That's what weak leaders do and customers suffer for that. What I see like the last two weeks ago when I was in new york. I met with them. A business leader for one of the largest banks in the world with 25,000 people reporting to him. The person walks into the room wearing shorts and t shirts uh, and was so full of energy and so full of excitement. I thought I'm going to learn from him and he was asking questions about how we do our business in bed and learning from me. I was humbled, I was flawed and I realized that's what a modern business leader looks like. Even if it is one of the largest and oldest banks in the world, that's the kind of people are making big difference and it doesn't matter how all the companies, how old their data is they have mainframes or not. I hear this excuses all the type of er, mainframes, we can't move, we have COBOL going on. And guess what? You keep talking about that and hear leaders like him are going to transform those companies And next thing you know, there are some of the most modern companies in the world. >>Well certainly they, we know that they don't have any innovation strategy or any kind of R and D or anything going on that could be caught flat footed in the companies that didn't have that going on, didn't have the spine or the, the, the vision to, to at least try the cloud before Covid when Covid hit, those companies are really either going out of business or they're hurting the people who were in the cloud really move their teams into the cloud quicker to take advantage of uh, the environment that they had to. So this became a skill issue. So, so this is a big deal. This is a big deal. And having the right skills are people skilled, it will be a, I both be running everything for them. What is your take on that? >>This is an important question. You can't just say you got to do more things or new things and not take care of all things. You know, there's only 89, 10 hours so you can work in their uh, analysts in the Atlantic species constantly if your analysts are sitting there and making incremental dashboards and reports change every day and then backlog is growing for 56 days and the users are unhappy because you're not getting answers and then you ask them to go to new things. It's just not going to be enough and you can hire your way out of it. You have to make sure that if you say that I have 20 100 x product already, I don't want 21st guess what? Sometimes to be five products, you need to probably go to 21 you got to do new things to actually take away the gunk off the old and in that context, the re skilling starts with unburdening, unburdening of menial task, unburned routine task. There is nothing more frustrating than making reports and dashboards that people don't even use And 90% of the time analysts, they're amazing experiences completely wasted when they're making incremental change to tabloid reports. I kind of believe thought spot and self service on top of cloud data takes away all of that without compromising security and then you invest the experienced people. Business experience is so critical. So don't just go and hire university students and say, okay, they'll go come and quote everything the experience that they have in knowing what the business is about and what it matters to their users, that domain experience and then uplevel them res kill them and then bring fresh energy to challenge that and then make sure there is a culture that allows that to happen. These three things. That's why I said leadership is not just about hiring event of firing another, it's about cultivating a culture and living that value by saying, look if I am wrong, call me, call me out in public because I want to show you how I deal with conflict. So this is I love this thing because when I see these large companies where they're making these massive changes so fast, it inspires you to say you know what if they can do it, anyone can do it. But then I also see if the top leadership is not aligned to that. They are just trying to retire without the stock tanking too much and let me just get through two more years. The entire company suffers. >>So that's great to chat with you got great energy, love your business, love the energy, love the focus. Um it's a new wave you're on. It's a big wave um and it's it's relevant, it's cool and relevant and it's the modern way and people have to have a spine to be successful if not for the faint of heart, but the rewards are there if you get this right. This is what I I love about this new environment. Um so I gotta ask you just to kind of close it out. How would you plug the company for the folks watching that might want to engage with you guys. What's the elevator pitch? What's the positioning? How would you describe thought spot in a bumper sticker or in a positioning statement. Take a minute to talk about that. >>Remember martin Anderson said that software is eating the world, I think it is now time to update that data is eating everything including software. If you don't have a way to turn data into bespoke action for your customers. Guess what? Your customers are gonna go somewhere where they that's happening right? You may not be in the data business but the data company is going to take your business. Thought spot is very simple. We want to be the friend tent for all cloud data when it comes to structured because that's where business value numbers is world satisfaction and dissatisfaction for reduces allying it is important to move data to action and thought Spot is the pioneer in doing that through search and I >>I really think you guys want something very powerful. Looking forward to chatting with you at the upcoming eight of a startup showcase. I think data is a developer mindset. It's an app, it's part of everything. It will. Everyone's a data company, everyone is a media company. Data is everything you guys are on something really big and people got a program it with it, make experiences whether it's simple scripts, point and click. That is a new kind of developer out there. You guys are tapping into it. Great stuff. Thank >>you for coming on. Thank you john it's good to talk to you. >>Okay. It's a cube conversation here in Palo alto California were remote. We're virtual. That's the cube virtual. I'm sean for your host. Thanks for watching. Mhm. Mhm

Published Date : Sep 7 2021

SUMMARY :

around the rise of the cloud and the massive opportunities and challenges around analytics data you have and do this face to face but zoom is not bad. that the Covid and now the covid is looking at coming out of covid with growth strategies. So the worst thing you can do is to take my data and still treat me like an average and numbers but also on the developer side where apps are being developed if you don't have the data access, sort of like the newspaper, the information that you can't talk back. How is it changing business than the rules of business? It is the only way and if you fail to take that you guys see that customers should pay attention to with thought spot and in general because the I improve my own logic so that the next interaction, the next situation is going to be significantly better. which you mentioned at the beginning of this conversation, you mentioned data apps which by the but the one that doesn't talk back to you is going to be available inside the app that you built for You got to solve for them. And you bring up a really good point that kind of highlights the real trend. What do you see and all of a sudden you can now take a single copy of data and then make it available to all of them That's a So I have to ask you when you, when you talk about people and culture, um that's not the way it used to be, leaders like him are going to transform those companies And next thing you know, in the cloud really move their teams into the cloud quicker to take advantage It's just not going to be enough and you can hire your way out of it. So that's great to chat with you got great energy, love your business, love the energy, You may not be in the data business but the data company is going to take your business. Looking forward to chatting with you at the upcoming eight of a startup showcase. Thank you john it's good to talk to you. That's the cube virtual.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
DavidPERSON

0.99+

ToyotaORGANIZATION

0.99+

LouisianaLOCATION

0.99+

PhilippinesLOCATION

0.99+

IndiaLOCATION

0.99+

LexusORGANIZATION

0.99+

WednesdayDATE

0.99+

TeslaORGANIZATION

0.99+

SarahPERSON

0.99+

15 minuteQUANTITY

0.99+

10QUANTITY

0.99+

1990sDATE

0.99+

PatrickPERSON

0.99+

EuropeLOCATION

0.99+

90%QUANTITY

0.99+

three questionsQUANTITY

0.99+

2025DATE

0.99+

five productsQUANTITY

0.99+

25,000 peopleQUANTITY

0.99+

martin AndersonPERSON

0.99+

56 daysQUANTITY

0.99+

new yorkLOCATION

0.99+

twoQUANTITY

0.99+

United StatesLOCATION

0.99+

Sudheesh NairPERSON

0.99+

Yesterday morningDATE

0.99+

17%QUANTITY

0.99+

mondayDATE

0.99+

oneQUANTITY

0.99+

last weekDATE

0.99+

NutanixORGANIZATION

0.99+

100 suppliersQUANTITY

0.99+

33QUANTITY

0.99+

two more yearsQUANTITY

0.99+

one clickQUANTITY

0.99+

21stQUANTITY

0.99+

johnPERSON

0.99+

google mapTITLE

0.99+

next mondayDATE

0.98+

bothQUANTITY

0.98+

YelpORGANIZATION

0.98+

three thingsQUANTITY

0.98+

last two weeks agoDATE

0.97+

CovidPERSON

0.97+

15 modelsQUANTITY

0.97+

zerosQUANTITY

0.97+

TeradataORGANIZATION

0.97+

this morningDATE

0.97+

Palo alto CaliforniaLOCATION

0.97+

delta variantsOTHER

0.96+

DelawareLOCATION

0.95+

three subsequent questionsQUANTITY

0.95+

firstQUANTITY

0.94+

10 questionQUANTITY

0.94+

single copyQUANTITY

0.94+

one conversationQUANTITY

0.94+

earthLOCATION

0.93+

21QUANTITY

0.93+

two thingsQUANTITY

0.92+

10 modelsQUANTITY

0.92+

COBOLORGANIZATION

0.92+

google mapsTITLE

0.91+

onceQUANTITY

0.9+

next 10 yearsDATE

0.9+

ThailandLOCATION

0.9+

AtlanticLOCATION

0.89+

two major thingsQUANTITY

0.89+

ThoughtSpotORGANIZATION

0.87+

$40 billion dollarQUANTITY

0.85+

hundreds of billions of rows of dataQUANTITY

0.85+

Hurricane IDaEVENT

0.83+

20 100 xQUANTITY

0.82+

trillions of rows ofQUANTITY

0.81+

OneQUANTITY

0.8+

Rob High, IBM | IBM Think 2021


 

>>From around the globe. It's the cube with digital coverage of IBM. Think 20, 21 brought to you by IBM, >>Welcome back to the cubes coverage of IBM, think 20, 21. We're gonna talk about the edge. Like what is the edge, how it's going to evolve. And we're gonna take a look at an autonomous vessel use case, which is quite interesting with me as Rob high. He was an IBM fellow VP and CTO. IBM edge computing. Rob. Welcome. Great to see you again. Thanks Dave. Appreciate that. Yeah. So let's start with the basic question here. You know, people's like, Oh, what is the edge? Like, it's one big thing and it's not, it's it's many things, but how should we think about the edge and why should enterprises, you know, feel like it's necessary to begin to lean in? >>Well, so let's just start with the use cases. Uh, you know, what edge means is the ability to put a camera on a manufacturing floor, you know, perhaps juxtaposed with a robot monitoring the work that the robot is doing using AI visual recognition to detect whether what that robot is doing is producing high quality parts or not. And to be able to do that in real time, to be able to use that analytic thin to, you know, quickly remediate any kind of quality issues, uh, helps lower costs, it helps increase your yield and it helps increase the overall efficiency of your production processes. Or if not that then putting it in something a little bit. It's perhaps a little bit more familiar to us, the idea of an autonomous vehicle, you know, being able to, you know, drive and, and, uh, do driver assistance to drivers safety kinds of features, you know, all of that requires compute and having that compute where people are actually performing these tasks based on the data that they're receiving at the moment that they receive it, they are able to process that real time, be able to give them the feedback that allows them to make better decisions, to be able to do that. >>Not only with lower latency, but actually with better protection of their data, uh, better protection of their personal information or private information. If you're thinking about, you know, the business in which they operate, you know, be able to do that, even when the network fails, be able to do that without necessarily having to transmit tons and tons of data back to the cloud, especially if you end up not actually using that anywhere. That's what as computing really means. >>Yeah. So it sounds like the edge isn't that maybe we shouldn't think of it as a place, but the most logical place to process the data, um, depending on latency and other factors, it's a, that's a good way to look at it. So >>It's just where we do our work. >>Yeah. Well, you do the work, right? That's that makes a lot of sense. Thank you for that. So, you know, we always were talking about the pandemic changing the way we think about things. And I wonder if you can comment on, on the, the edge context as come back from, you know, work from home or remote work, um, you know, think 20, 22, we hope it's going to be face-to-face could edge play a part in that has the pandemic, uh, made you think differently about the opportunities at edge? >>Yeah. And in fact, what we've seen is the pandemic is actually beginning to accelerate digital transformation. If you think about it, you know, any store that wanted to survive the same Deming could only do so by basically introducing a digital presence, you know, the ability to buy online. And even if you're picking up at the store, picking up the curbside, you know, you can't go into a restaurant without getting that QR code that gives you, you know, your digital menu, um, trying to get workers back into both the factories, as well as the warehouses and offices, and to do so safely, be able to ensure that they're wearing the face mask and socially distancing properly. All of these things I think have driven digital transformation. And if you think about the task of, you know, buying online and picking up the store while store is better, have a pretty good idea of where their inventory is. >>Um, they need to know exactly where that product is so they can quickly pick it and get it available to the client before they arrive at the store. Um, and so that's edge computing. We need edge computing to be able to automate the processes of inventory tracking down to individual items and where they're located throughout the store to be able to do the recognition for whether people are or are not being changing their social distancing or wearing their PPE, um, to be able to ensure that our processes are as automated as possible to limit the amount of human interaction that's required in order to perform these processes. All of that I think has accelerated both digital transformation, as well as particularly the use of edge computing, uh, in, in all of our businesses. >>I think about, you know, the forced March to digital in 2020. And if you weren't a digital business, you were out of business, but to your, my big takeaway from what you just said is that digital transformation is just starting and now people really have some time to think about that, that digital strategy. And as we think about doing things more safely, maybe with less human intervention, we love autonomous vehicles. Examples just cause because there's a technically they're challenging, but, but I wonder if you could tell us the story of the Mayflower autonomous ship it's it's upcoming journey, it's going to be cruelest across the Atlantic, unbelievable collecting data, you know, talk about how edge relates to that story. What can you tell us? >>Well, first of all, this is simply talk about the task of navigating a ship from one port on one side of the world to another port across the ocean, across the Atlantic. Um, you know, the ocean is a dangerous place. Uh, yes, it's wide open it's, you know, lots of water, but the reality is it's full of barriers. Of course, you've got land barriers, you've got other ships, you've got Marine life, you've got debris that gets stuck dropped in the ocean. And so the task of navigating is actually quite difficult. And again, to the same point that we've made earlier, you have to have local compute in order to really be able to make those decisions fast enough with enough acuity, with enough clarity, to be able to, um, to be able to safely safely navigate around those kinds of obstacles. So we have to put compute in the ship. >>So the Mayflower ship is as I sort of implied, uh, a, a ship that will be autonomous. There are no human beings involved in the, in operating the ship. It has to be able to on its own, both recognize these obstacles, recognize on the ship, recognize about recognized, um, you know, that cargo container that happened to fallen off, uh, some other ship and floating through the ocean, uh, recognize, you know, uh, rain life, uh, whales and other, other, uh, fish and birds that might be, uh, uh, on, in the way. Um, and, and, and to be able to, um, do all that, you know, entirely without any human intervention. So that compute power is really a prime example of an edge computer. It is compute in the, in the business of navigation, uh, making decisions about, um, the things that it sees and, and making decisions about how best to circumvent those issues. >>Um, now along the way, I should also say part of what the med flagship is going to do is not only exercise the task of navigation and prove that, um, these algorithms can efficiently and effectively, uh, bring that shift from one side of the world to be upside safe, but along the way, it's going to conduct science is going to, um, collect water samples for the, um, chemical makeup of, of the oceans at various points along the way, it's going to be sampling for microplastics or, uh, examining phytoplankton for its health and life. Uh, it's going to be the detecting wave motions and the wave energy that might be indicative of how the world is transforming in the presence of global climate change. Um, these science packages that are going to be formed are also being performed autonomously without human intervention. And that actually opens up a very exciting potential future, which is the idea of these autonomous ships navigating the oceans, collecting data that can then be brought back for the scientists to examine so that they, the scientists are not having to go out and spend weeks and months at a time in perilous conditions. >>These potentially the only conditions, um, collected that data, but rather they can remain safely at land. The ship will collect the data and they can analyze that data from their home labs. So this is actually a really exciting project, but one that I think would demonstrate not only the idea of edge computing, but also the advances in navigation and Marine science. >>Yeah, because I mean, the ship has to navigate itself. Not only is it bringing back data, but there's a great, great example. I met a lot of the work in machine intelligence today is done in the modeling side. This is, this, this is inference going on in near real time. Uh, which we think is where, where the, the, the action is. That's why we love the autonomous, because there's a lot of IBM tech involved in here as well. Is there not, I mean, you've got to have software and you've got your edge devices. You've got, you know, automation capabilities. I mean, it's not right. That this is like serious technical challenge. >>Yeah. Well, we were approached by the primary team on this project and it didn't take us long to realize the utility that some of our technology would have to advancing their project. And so you're right. I mean, we have things like operational decision manager, ODM, which typically is used in the financial services industry, but now it's being applied to the rules of navigation. We've called the Culver over cold rags. Um, we've got, uh, our AI services that do visual recognition because obviously we've got to be able to detect and identify, um, the things that, that the ship is seeing along the way and be able to distinguish what those things are. Uh, we have our IBM edge application manager, which is being used to manage deployment of these kinds of workloads, and frankly, all of the workloads that are hosted in the ship, getting that managed and deployed onto the ship. Uh, and, and of course, you know, all these things have to be integrated. And so that's just a small sampling of the kinds of technologies, but it's a good example of where I think the edge kind of represents the combination of what we have all been working with in this industry, which is how do we bring technologies together, the solver problem as an integrated solution, >>You mentioned financial services. So I wonder if we could, you know, think beyond shipping maybe, uh, what, what are you seeing in other industries? Are there any patterns that are developing where clients are saying, Hey, we need this sort of this capability. What can you tell us? >>So edge computing is it's probably greatest demand right now in manufacturing, uh, in industrial four dash zero, uh, kinds of, uh, environments where, you know, most of the industry, the industrial industry, the markets have grown up largely dependent upon operations, technology, OT, but one of the things that people need in these kinds of environments is the additional benefits that come from AI. And we've talked about, you know, using AI to do visual recognition on manufacturing processes, looking at quality inspection, for example, but you know, there's other aspects of production optimization of worker safety. We talked a little bit about that, um, around, uh, you know, predictive maintenance and asset management, uh, you know, these kinds of additional things that are necessary to really run your factory efficiently, or you're, you know, you're a drilling rig or your energy production systems. All these kinds of industrial processes can benefit from the advances that are occurring in analytics in, um, in, and then of course, having localized compute to do that with, to both do those kinds of decisions in real time, but also to offload the amount of transmission, the data that we have the transmitting back to the cloud. >>So industry four O or manufacturing is one big area retail. We talked a little bit about that, but you think about, you know, point of sale terminals, and the idea of being able to brute two offers at point of sale, to be able to do price checking to help you navigate the store is digital signage. Um, you know, all the user experiences, spillage and spoilage and loss prevention, these are all kinds of use cases that will benefit retail retailers, um, lot of demand. And of course, again, the need to be able to do that locally within the store, we talked to touch a little bit on automotive. The whole automotive industry right now is going through a really fundamental transformation where virtually every automobile now is being imbued with more and more compute capacity and localized processing for doing driver's safety and, and car maintenance and, and, and even short of, you know, full autonomy, which is of course is another topic in its own, right? Uh, lots of experiences that can be brought there as well. So lots of opportunity in distribution, manufacturing, retail banking, uh, uh, virtually every industry that we've looked at has some opportunity for, um, leveraging the benefit that does computing. >>It's hard to get cars right now because the chip short is. But, um, I wonder real quick, if you could talk about 5g, you hear a lot about 5g, there's a ton tons of hype there. Uh, how should we be thinking about 5g? How real is it? What's your take in terms of its impact on the edge? >>So a couple of thoughts here. One is 5g obviously is accelerating, and it has the effect of accelerating edge computing, because one of the benefits of 5g of course, is lower latency and higher bandwidth. And that kind of opens people's minds, the potential to leverage the network connectivity of equipment that otherwise, you know, is hard to connect. If you think about the factory floor for a moment in all the kinds of equipment you have on the factory floor, if you had to hard wire, all that equipment to get access to the compute power on that, that could be a very expensive proposition. You'd like to kind of wirelessly connect that equipment. And that's one of the things that 5g brings to the table, because some of the spectrum that five peak uses has less potential to interfere with that equipment then than you would otherwise. So I think that what we're going to see is 5g will sort of disproportionately benefit I'll call them industrial or commercial unit use cases as compared to 4g and LTE, which were very much centered on consumer use cases. 5g is accelerating as competing in a many ways. 5g actually depends on edge computing. It doesn't mean that we can't do educated beginning without 5g. We can, we can certainly do it for DLP than wireline. Uh, but I think 5g is going to have a very symbiotic effect on, on edge computing, >>Just like wifi was enabler on mobile, but this is a, you know, much, much, much larger potential. Rob. We got to go, thanks so much for coming on and sharing your insights. Love to have you back. Awesome. All right. Appreciate it. Thank you for watching everybody. This is Dave Volante for the cubes coverage of IBM. Think 2020, 21, 2021. We'll be right back.

Published Date : May 12 2021

SUMMARY :

Think 20, 21 brought to you by IBM, Great to see you again. the idea of an autonomous vehicle, you know, being able to, you know, drive and, the business in which they operate, you know, be able to do that, even when the network fails, to process the data, um, depending on latency and other factors, could edge play a part in that has the pandemic, uh, made you think differently about only do so by basically introducing a digital presence, you know, the ability to buy online. We need edge computing to be able to automate the processes of inventory tracking I think about, you know, the forced March to digital in 2020. Um, you know, the ocean is a dangerous place. um, you know, that cargo container that happened to fallen it's going to be the detecting wave motions and the wave energy that might be These potentially the only conditions, um, collected that data, but rather they can remain safely Yeah, because I mean, the ship has to navigate itself. Uh, and, and of course, you know, So I wonder if we could, you know, think beyond shipping maybe, you know, these kinds of additional things that are necessary to really run your factory efficiently, And of course, again, the need to be able to do that locally within the store, But, um, I wonder real quick, if you could talk about 5g, And that's one of the things that 5g brings to the table, because some of the spectrum that five peak uses Love to have you back.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
DavePERSON

0.99+

IBMORGANIZATION

0.99+

Dave VolantePERSON

0.99+

RobPERSON

0.99+

2020DATE

0.99+

bothQUANTITY

0.99+

oneQUANTITY

0.99+

todayDATE

0.99+

Rob HighPERSON

0.99+

AtlanticLOCATION

0.98+

two offersQUANTITY

0.98+

one portQUANTITY

0.98+

DemingORGANIZATION

0.98+

Think 2020COMMERCIAL_ITEM

0.98+

MarchDATE

0.97+

5gQUANTITY

0.96+

one sideQUANTITY

0.96+

Think 2021COMMERCIAL_ITEM

0.95+

five peakQUANTITY

0.95+

tons and tons of dataQUANTITY

0.91+

pandemicEVENT

0.89+

firstQUANTITY

0.84+

20QUANTITY

0.82+

one big thingQUANTITY

0.82+

zeroQUANTITY

0.79+

a ton tonsQUANTITY

0.76+

22QUANTITY

0.7+

2021DATE

0.7+

21DATE

0.66+

fourQUANTITY

0.66+

OneQUANTITY

0.66+

encePERSON

0.65+

5gTITLE

0.58+

5gORGANIZATION

0.57+

20COMMERCIAL_ITEM

0.55+

21OTHER

0.53+

4gOTHER

0.51+

automobileQUANTITY

0.49+

think 20ORGANIZATION

0.46+

MayflowerCOMMERCIAL_ITEM

0.45+

21TITLE

0.33+

5gOTHER

0.28+

BOS6 Rob High VTT


 

>>from >>around the >>globe, it's the >>Cube with digital coverage of IBM, think 2020 >>one brought to you by IBM. >>Welcome back to the cubes coverage of IBM think 2021 we're gonna talk about the Edge like what is the Edge, how it's going to evolve? And we're gonna take a look at an autonomous vessel use case, which is quite interesting with me is rob high and IBM fellow VP and Cto, IBM edge computing rob. Welcome. It's great to see you again. >>Thanks. Dave appreciate that. Good seeing you too. >>Yeah, So let's start with the basic question here, you know, people are like, well what is the Edge? Like it's one big thing and it's not, it's, it's many things, but how should we think about the edge and why should enterprises, you know, feel like it's necessary to begin to lean in? >>Well, let's just start with the use cases. Uh, you know, what edge means is the ability to put a camera on the manufacturing floor, you know, perhaps juxtaposed with a robot monitoring the work that the robot is doing using ai visual recognition to detect whether what that robot is doing is producing high quality parts or not. And to be able to do that in real time to be able to use that analytic then too, you know, quickly remediate any kind of quality issues, helps lower cost, it helps increase your yield and it helps increase the overall efficiency of your production processes. Or if not that, then putting it in something that's perhaps a bit more familiar to us. The idea of an autonomous vehicle, you know, be able to, you know, dr and do driver assistance to driver safety kinds of features, you know, all of that requires compute and having that compute where people are actually performing these tasks based on the data that they're receiving at the moment they receive it be able to process that real time, give them the feedback that allows them to make better decisions to be able to do that not only with lower latency, but actually with better protection of their data, better protection of their personal information or private information. If you're thinking about the business in which they operate, you know, be able to do that even when the network fails to be able to do that without necessarily have to transmit tons and tons of data back to the cloud, especially if you end up not actually using that anywhere. That's what as computing really means. >>Yeah. So it sounds like the edges, maybe we shouldn't think of it as a place, but the most logical place to process the data of, depending on late and see and other factors. It's that's a good way to look at it. So it's >>yeah, just where we do our work. >>Yeah. Well you do the work, right. That that makes a lot of sense. Thank you for that. So you know, we always we're talking about the pandemic, changing the way we think about things. And I wonder if you can comment on the the edge context as we come back From we work from home or remote work. You know, I think 2022, we hope it's going to be face to face. Uh good edge play a part in that. Has the pandemic uh made you think differently about the opportunities that edge? >>Yeah. And in fact what we've seen is the pandemic is actually beginning to accelerate digital transformation. If you think about it, you know any store they wanted to survive. This pandemic could only do so by basically introducing a digital presence, you know, the ability to buy online. And even if you're picking up at the store, picking up the curbside, you know you can't go into a restaurant without getting that Q. R. Code that gives you your digital menu. Um Trying to get workers back into factories as well as the warehouses and offices. And to do so safely be able to ensure that they're wearing their face masks and socially distancing properly. All of these things I think have driven digital transformation. And if you think about the task of buying online and picking up the store well stories better have a pretty good idea of where their inventory is. Um They need to know exactly where that product is. So they can quickly pick it and get it available to the client before they arrive at the store. Um And so that's edge computing. We need edge computing to be able to to automate the processes of inventory tracking down to individual items and where they're located throughout the store. To be able to do the recognition for whether people are or not maintaining social distancing or wearing the PP. E. Um to be able to ensure that our processes or as automated as possible to limit the amount of human interaction that's required in order to perform these processes. All of that I think has accelerated both digital transformation as well as particularly the use of edge computing uh in all of our businesses. >>I think about, you know, the force marched to digital in 2020 and if you weren't a digital business you were out of business. But you're my big takeaway from what you just said is a digital transformation is just starting. And now people really have some time to think about that, that digital strategy and and as we think about doing things you know more safely, maybe with less human intervention, we love autonomous vehicles. Examples, just because they're technically they're challenging. But I wonder if you could tell us the story of the Mayflower autonomous ship, its upcoming journey, it's going to be cruelest across the atlantic, unbelievable collecting data. You know, talk about how edge relates to that story. What can you tell us? >>Well, first of all, this is simply talk about the task of navigating a ship from one port on one side of the world too, another port across the ocean, across the atlantic. Um you know, the ocean is a dangerous place. Yes, it's wide open, it's you know, lots of water, but the reality is it's full of barriers. Of course, you've got land barriers, you've got other ships, you've got marine life, you've got debris that gets dropped in the ocean. And so the task of navigating is actually quite difficult. And again, to the same point that we made earlier, you have to have local compute in order to really be able to make those decisions fast enough with enough acuity with enough clarity to be able to be able to safely safely navigate around those kinds of obstacles. So we have to put compute in the ship. So the may fire ship is as I sort of implied a ship that will be autonomous. There are no human beings involved in in operating the ship. It has to be able to on its own. Both recognize these obstacles, recognizing the ship, recognize about, recognize um, you know, that cargo, uh, container that happened to have fallen off some other ships and floating through the ocean, recognize, you know, rain life, uh, whales and other other fish and birds that might be, uh, in the way. Um, and, and, and to be able to um, do all that, you know, entirely without any human invention. So that compute power is really a prime example of an edge computer. It is compute in the, in the business of navigation, making decisions about the things that it sees and making decisions about how best to circumvent those issues. Um, Now along the way, I should also say part of what the Mayflower ship that's going to do is not only exercise the task of navigation and prove that these algorithms can efficiently and effectively bring that shit from one side of the world to the other side safely. But along the way, it's going to conduct science is going to collect water samples for the chemical makeup of the oceans. At various points along the way it's going to be sampling for microplastics are examining phytoplankton for its health and liveliness. It's going to be the detecting wave motions and the wave energy that might be indicative of how the world is transforming in the presence of global climate change. Um These science packages that are going to be formed are also being performed autonomously without inhuman invention. And that actually opens up a very exciting potential future, which is the idea of these autonomous ships navigating the oceans, collecting data that can then be brought back for the scientists to examine so that they the scientists are not having to go out and spend weeks and months at a time in these perilous conditions, these potentially lonely conditions um collecting that data, but rather they can remain safely on land. The ship will collect the data and they can analyze that data from their home labs. So this is actually a really exciting project, but one that I think will demonstrate not only the idea that computing, but also the advances in navigation and marine science. >>Yeah, because I mean the ship has to navigate itself. Not only is it bringing back data, but there's a great, great example. I mean a lot of the work in machine intelligence today is uh in the modeling side. This is this is this is inference going on in near real time, uh which we think is where the action is. That's why we love the autonomous because there's a lot of IBM tech involved in here as well. Is there not? I mean, you've got to have software and you've got your edge devices, you've got, you know, automation capabilities. I mean, it's not all right. This is like serious technical challenge. >>Yeah. Well, we were approached by the primary team on this project and it didn't take us long to realize the utility that some of our technology would have to dancing their project. And so you're right. I mean, we have things like operations, decision and ODM which typically is used in the things of the services industry, but now it's being applied to the rules of navigation would call the cold cold rags. Um We've got our Ai services that do visual recognition because obviously we've got to be able to detect and identify um, the things that the ship is seeing along the way and be able to distinguish what those things are. Uh we have our imagine application manager which is being used to manage deployment of these kinds of workloads and frankly all of the workloads that are hosted in the ship, getting that managed and deployed onto the ship. Uh and and of course, you know, all these things have to be integrated. And so that's just a small sampling of the kinds of technologies. But it's a good example of where I think the edge kind of represents the culmination of what we have all been working within this industry, which is how do we bring technologies together to solve a problem as an integrated solution? >>You mentioned financial services. So I wonder if we could, you know, think beyond shipping, maybe what, what are you seeing in other industries? Are there any patterns that are developing, where clients are saying, hey, we need this sort of this capability? What can you tell us? >>So, I think it is, it's probably greatest demand right now in manufacturing, uh, in industrial 4.0, uh, kinds of environments where, you know, most of the industry, the industrial industries and markets have grown up largely dependent upon operations technology. Ot but one of the things that people need in these kind of environments is the additional benefits that come from A. I and we talked about using ai to do visual recognition on manufacturing processes, looking at quality inspection, for example, but there's other aspects of production optimization of workers safety. We talked a little bit about that around uh, predictive maintenance and asset management. Uh, you know, these kinds of additional things that are necessary to really to run your factory efficiently or you're you're drilling rig or your energy production systems. All these kinds of industrial processes can benefit from the advances that are occurring in analytics. And um, and, and then of course, having localized compute to do that with, to both do these kinds of decisions in real time, but also to offload the amount of transmission that we end up transmitting back to the cloud. So industry 40 or manufacturing is one big area retail. We talked about that, but you think about point of sale terminals and the idea of being able to do offers at point of sale to be able to do price checking to help you navigate the stores, digital signage. Um, you know, all the user experiences, spillage and spoilage and loss prevention. These are all kinds of use cases that will benefit retail retailers. Um, lot demand, of course. Again, the need to be able to do that locally within the store. We talked to touch a little bit on automotive. The whole automotive industry right now is going through a really fundamental transformation where virtually every automobile now is being imbued with more and more compute capacity and localized processing for doing driver safety and car maintenance and, and, and even short of, you know, full autonomy, which is of course is another topic in its own right. Uh lots of experiences that can be brought there as well. So lots of opportunity and distribution, manufacturing, retail banking. Virtually every industry that we've looked at has some opportunity for leveraging the benefits of the computer. Yeah, >>it's hard to get cars right now because the chip shortest. But I wonder real quick if you could talk about five G, you hear a lot about five Gs tons of hype there. How should we be thinking about 5G? How real is it? What's your take in terms of its impact on the edge? >>So a couple of thoughts here, one is 5G obviously is accelerating And it has the effect of accelerating edge computing because one of the benefits of 5G of course is lower latency and higher bandwidth. And that opens people's minds. The potential to leverage the network connectivity of equipment that otherwise is hard to connect. If you think about the factory floor for a moment and all the kinds of equipment you have on the factory floor. If you had to hardwire all that equipment to get access to the compute power on that, that could be a very expensive proposition. You'd like to kind of wirelessly connect that equipment and that's one of things that five day brings to the table because some of the spectrum five take uses has less potential to interfere with that equipment than than you would otherwise. So I think that what we're going to see is 5G will disproportionately benefit. I'll call him industrial or commercial use cases as compared to four G. And L. T. Which were very much centered on consumer use case five Gs accelerating edge computing in many ways Five G actually depends on edge computing doesn't mean that we can't do edge computing without five do we can we can certainly do it for dlt even wire line But I think 5G is going to have a very symbiotic effect on edge computing. >>Yeah just like wifi was enabler mobile but this is much much much larger potential rob. We gotta go. Thanks so much for coming on and sharing your insights. I'd love to have you back, awesome. Thanks. >>Alright appreciate it. Thank >>you for watching everybody's Day Volonte for the cubes coverage of IBM. Think 2020 21 2021 will be right back. >>Yeah. >>Yeah.

Published Date : Apr 16 2021

SUMMARY :

It's great to see you again. Good seeing you too. to put a camera on the manufacturing floor, you know, to process the data of, depending on late and see and other factors. So you know, E. Um to be able to ensure that our processes or as automated as I think about, you know, the force marched to digital in 2020 and if you weren't a digital business and, and, and to be able to um, do all that, you know, Yeah, because I mean the ship has to navigate itself. you know, all these things have to be integrated. So I wonder if we could, you know, think beyond shipping, Again, the need to be able to do that locally within the store. it's hard to get cars right now because the chip shortest. potential to interfere with that equipment than than you would otherwise. I'd love to have you back, awesome. Alright appreciate it. you for watching everybody's Day Volonte for the cubes coverage of IBM.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
DavePERSON

0.99+

IBMORGANIZATION

0.99+

2020DATE

0.99+

bothQUANTITY

0.99+

BothQUANTITY

0.99+

one portQUANTITY

0.98+

one sideQUANTITY

0.98+

todayDATE

0.98+

oneQUANTITY

0.97+

EdgeCOMMERCIAL_ITEM

0.97+

five dayQUANTITY

0.95+

pandemicEVENT

0.93+

tons and tons of dataQUANTITY

0.92+

2021DATE

0.87+

fiveQUANTITY

0.86+

RobPERSON

0.86+

atlanticLOCATION

0.85+

one bigQUANTITY

0.83+

40QUANTITY

0.82+

5GORGANIZATION

0.79+

one big areaQUANTITY

0.76+

phytoplanktonOTHER

0.73+

Day VolonteEVENT

0.73+

firstQUANTITY

0.72+

5GQUANTITY

0.66+

Five GTITLE

0.65+

2022DATE

0.63+

CtoORGANIZATION

0.6+

robPERSON

0.58+

Q. R.TITLE

0.55+

industryQUANTITY

0.54+

five GORGANIZATION

0.51+

five GsTITLE

0.48+

L. T.ORGANIZATION

0.42+

fiveOTHER

0.4+

21DATE

0.36+

G.TITLE

0.31+

fourORGANIZATION

0.3+

5GTITLE

0.29+

MayflowerPERSON

0.25+

Dheeraj Pandey, Nutanix | theCUBE on Cloud 2021


 

>> Hi, and this is theCUBE on Cloud. I'm Stu Miniman and really excited to welcome to a special Fireside Chat. CUBE Alumni has been on the program so many times. We always love talking to founders. We like talking to deep thinkers and that's why he was one of the early ones that I reached out to when we were working on this event. When we first started conversations, we were looking at how hyperscalers really were taking adoption of the brand new technologies, things like flash, things like software defined networking, and how that would invade the enterprise. That of course has had a huge impact, help create a category called hyperconverged infrastructure and I'm talking about Dheeraj Pandey. He is the founder, chairman, and CEO of Nutanix, taking HCI from hyperconverged infrastructure to hybrid cloud infrastructure. So Dheeraj, welcome to the Fireside Chat. Thank you so much for joining us. >> Thank you, Stu, and thank you for the last 10 years that we've grown together, both theCUBE and Nutanix and myself as a leader in the last 10 years. So bringing HCI from hyperconverged to hybrid cloud just reminds me of how the more things change, the more they remain the same. So looking forward to a great discussion here. >> So talk about that early discussion, what the hyperscalers were doing, how can the enterprise take advantage of that? Over time, enterprise has matured and looked a little bit more like the hyperscalers. Hybrid cloud of course is on everyone's lip, as well as we've seen the hyperscalers themselves look more and more like the enterprise. So hybrid and multicloud is where we are today. We think it'll be in the future. But give us a little bit as to how you've seen that progression today and where are we going down the road here? >> Yeah, I think I talked about this during my .NEXT keynote. And the whole idea of, in every recession, we make things smaller. In '91 we said we're going to go away from mainframes into Unix servers. And we made the unit of compute smaller. Then in the year 2000 when there was the next bubble burst and the recession afterwards, we moved from Unix servers to Wintel: Windows and Intel, x86 and eventually Linux as well. Again we made things smaller going from million dollar servers to $5,000 servers, shorter lived servers. And that's what we did in 2008/2009. I said, look, we don't even need to buy servers. We can do things with virtual machines which are servers that are an incarnation in the digital world. There is nothing in the physical world that actually went lives. But we made it even smaller. And now with cloud in the last three, four years and what will happen in this coming decade, they're going to make it even smaller, not just in space which is size with functions and containers and virtual machines, but also in time. So space and time, we're talking about hourly billing and monthly billing and a one-year term as opposed to really going and committing to five or seven years of hardware and CapEx. So I think as you make things smaller, I mean, and this is true for as consumers, we have short attention spans, things are going fast. The cycle of creative destruction of virtual machines is shrinking as well. So I think in many cases, we know we've gone and created this autonomy, massive sprawl. Like we created a massive sprawl of Intel servers back in '95 and 2005. Then we have to use virtualization to go and consolidate all of it, created beautiful data centers of Intel servers with VMware software. And then we created a massive sprawl of data centers, of consolidated data centers with one click private cloud in the last five years and hopefully in the next five too. But I think we're also now creating a proliferation of clouds. There is a sprawl, massive sprawl of cost centers and such. So we need yet another layer of software for governance to reign in on that chaos, hence the need for a new HCI, hybrid cloud infrastructure. >> Yeah, it's fascinating to kind of watch that progression over time. There was a phenomenal Atlantic article. I think it was from like the 1940s or 1950s where somebody took what was happening post-World War II and projected things out. We're talking really pre the internet, but just the miniaturization and the acceleration, kind of the Moore's law discussion. If you take things out, where it would go. When I talked to Amazon, they said the one thing that we know for sure, I'm talking to Amazon.com is that people will want it faster and cheaper in the future. I don't know which robot or drone or things that they have. But absolutely there are those certain characteristics. So from a leadership standpoint, Dheeraj, talk about these changes? We had the wave of virtualization, the wave of containerization, you talked about functions in serverless. Those are tools. But at the end of the day, it's about the outcomes and how do we take advantage of things? So how as a leader do you make sure that you know where to take the company as these technology waves and changes impact what you're doing? >> Yeah, it's a great point. I mean, we celebrate things in IT a lot, but we don't talk about what does it take? What's the underlying fabric to really use these things successfully and better than others and not just use buzzwords, because new buzzwords will come in the next three years. For example AI and ML has been a great buzzword for the last three, four years. But there's very few companies, probably less than even half a percent who know how to leverage machine learning, even understand the difference between machine learning and AI. And a lot of it comes down to a few principles. There's a culture principles, not the least of which is how you celebrate failure, because now you're doing shorter, smaller things. You've got a more agile, you'll have more velocity. Gone are the days of waterfall where you're doing yearly planning and pre-year releases and such. So as we get into this new world, not everything will be perfect, and you've got to really learn to pick yourself up and recover quickly, heal quickly and such. So that is the fundamental tenet of Silicon Valley. And we got to really go and use this more outside the Valley as well in every company out there. Whether it's East Coast company, the Midwest company that are outside the U.S. I think this idea that you will be vulnerable, more vulnerable as you go and learn to do things faster and shorter. I think product management is a term that we don't fully understand, and this is about the why before the how and the what. We quickly jump to the what: containers and functions and databases, servers, and AI, and ML, they're the what. But how do you really start with the why? You know my fascination for one of my distant mentors, Simon Sinek and how he thinks about most companies just focusing on the what, while very few actually start with why, then the how, then the what itself. And product management has to play a key role in this, which also subsumes design, thinking about simplification and elegance and reducing friction. I think again, very few companies, probably no more than 1% of the companies really understand what it means to start with design and APIs, user experience APIs for developers before you even get to writing any single line of code. So I think to me, that's leadership. When you can stay away from instant gratification of the end result, but start with the why, then the how, then the what. >> Yeah, as we know in the technology space, oftentimes the technology is the easy part. It's helping to drive that change. I think back to the early days when we were talking, it was, hyperconverge, it was a threat to storage. We're going to put you out of a job. And we'd always go and say, "Look, no, no, no. We're not putting you out of a job. We're going to free you up to do the things that you want to do. That security project that's been sitting on the shelf for six months, you can go do that. Helping build new parts of the business. Those things that you can do." It's that shifting a mindset can be so difficult. And Dheeraj, I mean, you look at 2020, everyone has had to shift their mindset for everything. I was spending half my time on the road. I don't miss the hotels. I do miss seeing lots and lots of people in person. So what's your advice for people, how they can stay malleable, be open to some change? What are you seeing out there? What advice do you give there? >> Yeah, I think, as you said, inertia is at the core of most things in our lives, including what we saw in healthcare for the last 20, 30 years. I mean, there was so much regulation. The doctor's community had to move forward, nurses had to move forward. I mean, not just providers, but insurance companies. And finally, all of a sudden, we're talking about telehealth because of the pandemic. We are talking about online learning. I mean the things that higher ed refused to do. I mean if you think about the last 20 years of what had happened with the cost of higher ed, I mean it's 200% growth when the cost of television has gone down by probably 100, 200% with more features. Healthcare, higher ed, education in general, all of a sudden is coming for this deep shock because of the pandemic. And I think it's these kind of black swan moments that really changed the world. And I know it's a cliche to say this. But I feel like we are going to be in a new normal, and we have been forced to this new change of digital. I mean, you and I are sitting and talking over the internet. It's a little awkward right now because there's a little bit of a delay in the way I'm looking at things. But I know it's going to directionally be right. I mean, we will go in a way where it just become seamless over time. So change is the only constant. And I believe that I think what we've seen in the pandemic is just the beginning of what digital will mean going forward. And I think the more people embrace it, the faster we do it. Speed is going to be the name of the game when it comes to survival and thriving in this new age. >> Dheeraj, it's interesting. We do hope, I'm a technologist. I know you're an optimist when it comes to things. So we always look at those silver linings. Like I hope healthcare and education will be able to move forward fast. Higher education costs, inequity out there for access to medicine. It would be wonderful if we could help solve some of that, despite this global pandemic. One of the other results, Dheeraj, we talked about some very shifts in the marketplace, the large tech players really have emerged in winter so far in 2020. I can't help, but watch the stock market. And Apple is bigger than ever, Amazon, Google, all ended up in front of Congress to talk about if they've gotten too big. You've partnered with Amazon, Microsoft, and Google. They are potentially a threat but also a partner. From your standpoint, have they gotten too much power? Do we have an inequity in the tech world that they are creating the universes that they will just kind of block off and limit innovation? What's your take on big tech? >> Yeah, I mean, I feel like there's always been big something. I mean, if you go back to the '90s, Amazon, not Amazon, IBM was big, and Microsoft was big, and AT&T was big. I mean, there's always been big companies because the consumer effect that they've had as well, I mean. And I think what we're seeing right now is no different. I mean, at the end of the day, the great thing about this country is that there's always disruption happening. And sometimes small is way better and way more competitive than big. Now at the same time, I do look up to the way some of them have organized themselves. Like the way Amazon has organized itself is really unique and creative with general managers and very independent, highly autonomous groups. So some of these organizations will definitely survive and thrive in scale. And yet for others, I think decision-making and staying competitive and staying scrappy will come a lot harder. So to me when I look at these big names and what Congress is talking about and such, I feel like there's no different than 20, 30, 40 years ago. I mean, we talked about Rockefeller and the oil giants back from 100 years ago. And so in many ways, I mean, the more things change, the more they remain the same. All we have to do is we have to walk over to where the customer is. And that's what we've done with the partnerships. Like in Amazon and Azure, we're saying look, we can even use your commits and credits. I mean, that is a very elegant way to go to where the customer is, rather than force them to where we are. And the public cloud is facing this too. They've come to realize in the last two years that they cannot force all of enterprise computing to come to hyperscalers data centers. They'll have to take in these bite-size smaller clouds to where the customer is, where the customer's machines are, where the customers people are, where the customers data is. That's where we also take to disperse the cloud itself. So I think there's going to be a yin yang where we'll try to walk with the customer to where we want them to be, whether it's hyperscaler data center or the notion of hybrid cloud infrastructure. But many a time, we've got to walk over to where they are. I mean, and outside the U.S, I mean, the cloud is such a nuanced word. I mean, we're talking about sovereignty, we're talking about data gravity, we're talking about economics of owning versus renting. This trifecta, the laws of the land, the laws of physics, and the laws of economics will dictate many of these things as well. So I think the big folks are also humble and vulnerable to realize that there's nothing more powerful than market forces. And I think the rest will take care of itself. >> Yeah, my quick commentary on that, Dheeraj, I think most of us look back at AT&T and felt the government got it wrong. The way they broke it up and ended up consolidating back together, it didn't necessarily help consumers. Microsoft on the other hand might've had a little bit too much power and was leveraging that against competition and really squashing innovation. So in general, it's good to see that the politics are looking at that and chore felt. The last time I watched things, they were a little bit more educated than some previous times there, where it was almost embarrassing to watch our representatives fumbling around with technology. So it's always good to question authority, question what they have. And one of the things you've brought up many times is you're open to listening and you're bringing in new ideas. I remember one conversation I had with you is there's that direction that you hold on to, but you will assess and do new data. You've made adjustments in the product portfolio and direction based on your customers, based on the ecosystem. And you've mentioned some of the, bring thoughts that you've brought into the company and you share. So you mentioned black swan that seem to head you brought to one of the European .NEXT shows. It was great to be able to see that author and read through advisors like Condoleezza Rice who you've had at the conferences a couple of times. Where are you getting some of your latest inspiration from, any new authors or podcasts that you'd be recommending to the audience? >> Yeah, I look at adjacencies, obviously Simon has been great. He was .NEXT, talked about the Infinite Game. And we'll talk about the Infinite Game with Nutanix too with respect to also my decision. But Brene Brown was been very close to Nutanix. I was just looking at her latest podcast, and she was sitting with the author of Stretch, Scott Sonnenschein, and it's a fascinating read and a great listen, by the way, I think for worth an hour, talking about scrappiness, and talking about resourcefulness. What does it mean to really be resourceful? And we need that even more so as we go through this recession, as we are sheltered in place. I think it's an adjacency to everything that Brene does. And I was just blown away by just listening to it. I'd a love for others to even have a listen and learn to understand what we can do within our families, with our budgets, with our companies, with our startups. I mean, with CUBE, I mean, what does it mean to be scrappy? And celebrate scrappiness and resourcefulness, more so than AI always need more. I think I just found it fascinating in the last week itself listening through it. >> John Farinacci talk many times that founder, startup, that being able to pull themselves up, be able to drive forward, overcome obstacles. So Dheeraj, do you tee it up? It sounds like is the next step for you. There's a transition under discussion. Bain has made an investment. There's a search for new CEO. Are you saying there's a book club in your future to be able to get things ready? Why don't you explain a little bit, 11 years took the company public, over 6,500 employees public company. So tell us a little bit about that decision-making process and what you expect to see in the future? >> Yeah, it's probably one of the hardest things as an entrepreneur is to let go, because it's a creation that you followed from scratch, from nothing. And it was a process for me to rethink about what's next for the company and then what's next for me? And me and the company were so tightly coupled that I was like, wow, at some point, this has to be a little bit more like the way Bill Gates did it with Microsoft, and there's going to be buton zone and you will then start to realize that your identity is different from the company's identity. And maybe the company is built for bigger, better things. And maybe you're built for bigger, better things. And how do you really start to first do this decoupling of the identity? And it's really hard. I mean, I'm sure that parents go through this. I mean, our children are still very young. Our eldest is nine going on 10 and our twin girls are six. I know at some point in the next 10 years, eight to 10 years, we'll have to figure out what it means to let go. And I'm already doing this with my son. I tell him you're born free. I mean, the word born free which drives my wife crazy sometimes. I say this to them, it's about independence. And I think the company is also born free to really think about a life outside of me, as well outside of founder. And that was a very important process for me as I was talking to the board for the last six, seven, eight months. And when the Bain deal came in, I thought it was a great time. We ended the fiscal really well, all things considered. We had a good quarter. The transition has been a journey of a lifetime, the business model transition I speak of. Really three years, I mean, I have aged probably 10 years in these last three years. But I think I would not replaced it for anything. Just the experience of learning what it means to change as a public company when you have short-term goals and long-term goals, we need the conviction, knowing what's right, because otherwise we would not have survived this cloud movement, all this idea of actually becoming a subscription company, changing the core of the business in the on-prem world itself. It's a king to change the wings of a plane at 40,000 feet where none of the passengers blink. It's been phenomenal ride last 11 years, but it's also been nonstop monomaniacal. I mean, I use the word marathon for this, and I figured it's a good time to say figure out a way to let go of this, and think of what's bigger better for Nutanix. And going from zero to a billion six in annual billings, and looking at billion six to 3 billion to four to five, I think it'd be great &to look at this from afar. And at the same time, I think there's vulnerability. I mean, I've made the company vulnerable. I've made myself vulnerable. We don't know who the next leader will be. And I think the next three to six months is one of the most important baton zones that I have ever experienced to be a part of. So looking forward to make sure that baton doesn't fall, redefine what good to great looks like, both for the company and for myself. And at the same time, go read more. I mean, I've been passionate about developers in the last 10 years, 11 years. I was a developer myself. This company, Nutanix, was really built by developers for IT. And I'm learning more about the developer as a consumer. How do you think about their experience? Not just the things that we throw at them from open source point of view and from cloud and technologies and AI and ML point of view, but really their lives, having them think about revenue and business and really blurring the lines between architects and product managers and developers. I think it's just an unfathomable problem we've created in IT that I would love to go and read and write more about. >> Yeah, so many important things you said there. I absolutely think that there are certain things everybody of course will think of you for a long time with Nutanix, but there is that separation between the role in the company and the person itself, and really appreciated how much you've always shared along those lines. So last question I have and you hit it up a little bit when you talked about developers. Take off your Nutanix hat for a second here, now what do we need to do to make sure that the next decade is successful in this space, cloud as a general guideline? Yes, we know we have skill gap. We know we need more people, we need more diversity. But there's so much that we need and there's so much opportunity, but what do you see and any advice areas that you think are critical for success in the future? >> Yeah, I mean, you hit up on something that I have had a passion for, probably more late in this world, more so than conspicuous, and and you hit upon it right now, diversity and inclusion. It's an unresolved problem in the developer community: the black developer, the woman developer. The idea of, I mean, we've two girls, they're twins. I'd love for them to embrace computer science and even probably do a PhD. I mean, I was a dropout. I'd love for them to do better than I did. Get, embrace things that are adjacent to biology and computer science. Go solve really hard problems. And we've not done those things. I mean, we've not looked at the community of developers and said, you know, they are the maker. And they work with managers and the maker manager world is two different worlds. How do you make this less friction? And how do you make this more delightful? And how do you think of developers as business, as if they are the folks who run the business? I think there's a lot that's missing there. And again, we throw a lot of jargons at them, and we talk a lot about automation and tools and such. But those are just things. I think the last 10, 11 years of me really just thinking about product and product portfolio and design and the fact that we have so many developers at Nutanix. I think it has been a mind-boggling experience, thinking about the why and the how and the what of the day in the life of, the month in the life of, and thinking about simple things like OKRs. I mean, we are throwing these jargons of OKRs at them: productivity, offshoring, remote work, over the zoom design sessions. It's just full of conflict and friction. So I think there is an amazing opportunity for Nutanix. There's an amazing opportunity for the industry to elevate this where the the woman developer can speak up in this world that's full of so many men. The black developer can speak up. And all of us can really think of this as something that's more structured, more productive, more revenue-driven, more customer in rather than developer out. That's really been some of the things that have been in my head, things that are still unresolved at Nutanix that I'm pretty sure at many of the places out there. That's what thinking and reading and writing about. >> Well, Dheeraj, first of all, thank you so much again for participating here. It's been great having you in theCUBE community, almost since the inception of us doing it back in 2010. Wish you the best of luck in the current transition. And absolutely look forward to talking more in the future. >> Thank you. And again, a big fan of the tremor rate of John, Dave, and you. Always learn so much from you, folks. Looking forward to be a constant student. Thank you. >> Thank you for joining us at theCUBE on Cloud. Lots more coverage here. Be sure to look throughout the site, engage in the chats, and give us your feedback. We're here to help you with the virtual events. I'm Stu Miniman as always. Thanks for watching.

Published Date : Jan 22 2021

SUMMARY :

of the brand new technologies, in the last 10 years. and more like the enterprise. and the recession afterwards, and cheaper in the future. So that is the fundamental I don't miss the hotels. I mean the things that One of the other results, Dheeraj, I mean, at the end of the day, And one of the things you've and a great listen, by the and what you expect to see in the future? And I think the next three to six months and the person itself, and the fact that we have so in the current transition. And again, a big fan of the tremor rate engage in the chats, and

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
AmazonORGANIZATION

0.99+

IBMORGANIZATION

0.99+

DheerajPERSON

0.99+

GoogleORGANIZATION

0.99+

John FarinacciPERSON

0.99+

MicrosoftORGANIZATION

0.99+

Condoleezza RicePERSON

0.99+

NutanixORGANIZATION

0.99+

DavePERSON

0.99+

AT&TORGANIZATION

0.99+

$5,000QUANTITY

0.99+

Amazon.comORGANIZATION

0.99+

SimonPERSON

0.99+

BrenePERSON

0.99+

200%QUANTITY

0.99+

sixQUANTITY

0.99+

nineQUANTITY

0.99+

Brene BrownPERSON

0.99+

Simon SinekPERSON

0.99+

AppleORGANIZATION

0.99+

eightQUANTITY

0.99+

Dheeraj PandeyPERSON

0.99+

2005DATE

0.99+

2010DATE

0.99+

JohnPERSON

0.99+

zeroQUANTITY

0.99+

Bill GatesPERSON

0.99+

fiveQUANTITY

0.99+

10 yearsQUANTITY

0.99+

six monthsQUANTITY

0.99+

2020DATE

0.99+

seven yearsQUANTITY

0.99+

40,000 feetQUANTITY

0.99+

10QUANTITY

0.99+

fourQUANTITY

0.99+

two girlsQUANTITY

0.99+

Stu MinimanPERSON

0.99+

1950sDATE

0.99+

CongressORGANIZATION

0.99+

11 yearsQUANTITY

0.99+

three yearsQUANTITY

0.99+

one-yearQUANTITY

0.99+

twoQUANTITY

0.99+

Infinite GameTITLE

0.99+

1940sDATE

0.99+

Silicon ValleyLOCATION

0.99+

StuPERSON

0.99+

IntelORGANIZATION

0.99+

over 6,500 employeesQUANTITY

0.99+

LinuxTITLE

0.99+

oneQUANTITY

0.98+

last weekDATE

0.98+

U.S.LOCATION

0.98+

CapExORGANIZATION

0.98+

twin girlsQUANTITY

0.98+

theCUBEORGANIZATION

0.98+

MoorePERSON

0.98+

U.SLOCATION

0.98+

bothQUANTITY

0.98+

'95DATE

0.98+

firstQUANTITY

0.98+

40 yearsDATE

0.98+

'91DATE

0.97+

one clickQUANTITY

0.97+

Dheeraj Pandey, Nutanix | CUBE On Cloud


 

>> Hi, and this is theCUBE on Cloud. I'm Stu Miniman and really excited to welcome to a special Fireside Chat. CUBE Alumni has been on the program so many times. We always love talking to founders. We like talking to deep thinkers and that's why he was one of the early ones that I reached out to when we were working on this event. When we first started conversations, we were looking at how hyperscalers really were taking adoption of the brand new technologies, things like flash, things like software defined networking, and how that would invade the enterprise. That of course has had a huge impact, help create a category called hyperconverged infrastructure and I'm talking about Dheeraj Pandey. He is the founder, chairman, and CEO of Nutanix, taking HCI from hyperconverged infrastructure to hybrid cloud infrastructure. So Dheeraj, welcome to the Fireside Chat. Thank you so much for joining us. >> Thank you, Stu, and thank you for the last 10 years that we've grown together, both theCUBE and Nutanix and myself as a leader in the last 10 years. So bringing HCI from hyperconverged to hybrid cloud just reminds me of how the more things change, the more they remain the same. So looking forward to a great discussion here. >> So talk about that early discussion, what the hyperscalers were doing, how can the enterprise take advantage of that? Over time, enterprise has matured and looked a little bit more like the hyperscalers. Hybrid cloud of course is on everyone's lip, as well as we've seen the hyperscalers themselves look more and more like the enterprise. So hybrid and multicloud is where we are today. We think it'll be in the future. But give us a little bit as to how you've seen that progression today and where are we going down the road here? >> Yeah, I think I talked about this during my .NEXT keynote. And the whole idea of, in every recession, we make things smaller. In '91 we said we're going to go away from mainframes into Unix servers. And we made the unit of compute smaller. Then in the year 2000 when there was the next bubble burst and the recession afterwards, we moved from Unix servers to Wintel: Windows and Intel, x86 and eventually Linux as well. Again we made things smaller going from million dollar servers to $5,000 servers, shorter lived servers. And that's what we did in 2008/2009. I said, look, we don't even need to buy servers. We can do things with virtual machines which are servers that are an incarnation in the digital world. There is nothing in the physical world that actually went lives. But we made it even smaller. And now with cloud in the last three, four years and what will happen in this coming decade, they're going to make it even smaller, not just in space which is size with functions and containers and virtual machines, but also in time. So space and time, we're talking about hourly billing and monthly billing and a one-year term as opposed to really going and committing to five or seven years of hardware and CapEx. So I think as you make things smaller, I mean, and this is true for as consumers, we have short retention spans, things are going fast. The cycle of creative destruction of virtual machines is shrinking as well. So I think in many cases, we know we've gone and created this autonomy, massive sprawl. Like we created a massive sprawl of Intel servers back in '95 and 2005. Then we have to use virtualization to go and consolidate all of it, created beautiful data centers of Intel servers with VMware software. And then we created a massive sprawl of data centers, of consolidated data centers with one click private cloud in the last five years and hopefully in the next five too. But I think we're also now creating a proliferation of clouds. There is a sprawl, massive sprawl of cost centers and such. So we need yet another layer of software for governance to reign in on that chaos, hence the need for a new HCI, hybrid cloud infrastructure. >> Yeah, it's fascinating to kind of watch that progression over time. There was a phenomenal Atlantic article. I think it was from like the 1940s or 1950s where somebody took what was happening post-World War II and projected things out. We're talking really pre the internet, but just the miniaturization and the acceleration, kind of the Moore's law discussion. If you take things out, where it would go. When I talked to Amazon, they said the one thing that we know for sure, I'm talking to Amazon.com is that people will want it faster and cheaper in the future. I don't know which robot or drone or things that they have. But absolutely there are those certain characteristics. So from a leadership standpoint, Dheeraj, talk about these changes? We had the wave of virtualization, the wave of containerization, you talked about functions in serverless. Those are tools. But at the end of the day, it's about the outcomes and how do we take advantage of things? So how as a leader do you make sure that you know where to take the company as these technology waves and changes impact what you're doing? >> Yeah, it's a great point. I mean, we celebrate things in IT a lot, but we don't talk about what does it take? What's the underlying fabric to really use these things successfully and better than others and not just use buzzwords, because new buzzwords will come in the next three years. For example AI and ML has been a great buzzword for the last three, four years. But there's very few companies, probably less than even half a percent who know how to leverage machine learning, even understand the difference between machine learning and AI. And a lot of it comes down to a few principles. There's a culture principles, not the least of which is how you celebrate failure, because now you're doing shorter, smaller things. You've got a more agile, you'll have more velocity. Gone are the days of waterfall where you're doing yearly planning and pre-year releases and such. So as we get into this new world, not everything will be perfect, and you've got to really learn to pick yourself up and recover quickly, heal quickly and such. So that is the fundamental tenet of Silicon Valley. And we got to really go and use this more outside the Valley as well in every company out there. Whether it's East Coast company, the Midwest company that are outside the U.S. I think this idea that you will be vulnerable, more vulnerable as you go and learn to do things faster and shorter. I think product management is a term that we don't fully understand, and this is about the why before the how and the what. We quickly jump to the what: containers and functions and databases, servers, and AI, and ML, they're the what. But how do you really start with the why? You know my fascination for one of my distant mentors, Simon Sinek and how he thinks about most companies just focusing on the what, while very few actually start with why, then the how, then the what itself. And product management has to play a key role in this, which also subsumes design, thinking about simplification and elegance and reducing friction. I think again, very few companies, probably no more than 1% of the companies really understand what it means to start with design and APIs, user experience APIs for developers before you even get to writing any single line of code. So I think to me, that's leadership. When you can stay away from instant gratification of the end result, but start with the why, then the how, then the what. >> Yeah, as we know in the technology space, oftentimes the technology is the easy part. It's helping to drive that change. I think back to the early days when we were talking, it was, hyperconverge, it was a threat to storage. We're going to put you out of a job. And we'd always go and say, "Look, no, no, no. We're not putting you out of a job. We're going to free you up to do the things that you want to do. That security project that's been sitting on the shelf for six months, you can go do that. Helping build new parts of the business. Those things that you can do." It's that shifting a mindset can be so difficult. And Dheeraj, I mean, you look at 2020, everyone has had to shift their mindset for everything. I was spending half my time on the road. I don't miss the hotels. I do miss seeing lots and lots of people in person. So what's your advice for people, how they can stay malleable, be open to some change? What are you seeing out there? What advice do you give there? >> Yeah, I think, as you said, inertia is at the core of most things in our lives, including what we saw in healthcare for the last 20, 30 years. I mean, there was so much regulation. The doctor's community had to move forward, nurses had to move forward. I mean, not just providers, but insurance companies. And finally, all of a sudden, we're talking about telehealth because of the pandemic. We are talking about online learning. I mean the things that higher ed refused to do. I mean if you think about the last 20 years of what had happened with the cost of higher ed, I mean it's 200% growth when the cost of television has gone down by probably 100, 200% with more features. Healthcare, higher ed, education in general, all of a sudden is coming for this deep shock because of the pandemic. And I think it's these kind of black swan moments that really changed the world. And I know it's a cliche to say this. But I feel like we are going to be in a new normal, and we have been forced to this new change of digital. I mean, you and I are sitting and talking over the internet. It's a little awkward right now because there's a little bit of a delay in the way I'm looking at things. But I know it's going to directionally be right. I mean, we will go in a way where it just become seamless over time. So change is the only constant. And I believe that I think what we've seen in the pandemic is just the beginning of what digital will mean going forward. And I think the more people embrace it, the faster we do it. Speed is going to be the name of the game when it comes to survival and thriving in this new age. >> Dheeraj, it's interesting. We do hope, I'm a technologist. I know you're an optimist when it comes to things. So we always look at those silver linings. Like I hope healthcare and education will be able to move forward fast. Higher education costs, inequity out there for access to medicine. It would be wonderful if we could help solve some of that, despite this global pandemic. One of the other results, Dheeraj, we talked about some very shifts in the marketplace, the large tech players really have emerged in winter so far in 2020. I can't help, but watch the stock market. And Apple is bigger than ever, Amazon, Google, all ended up in front of Congress to talk about if they've gotten too big. You've partnered with Amazon, Microsoft, and Google. They are potentially a threat but also a partner. From your standpoint, have they gotten too much power? Do we have an inequity in the tech world that they are creating the universes that they will just kind of block off and limit innovation? What's your take on big tech? >> Yeah, I mean, I feel like there's always been big something. I mean, if you go back to the '90s, Amazon, not Amazon, IBM was big, and Microsoft was big, and AT&T was big. I mean, there's always been big companies because the consumer effect that they've had as well, I mean. And I think what we're seeing right now is no different. I mean, at the end of the day, the great thing about this country is that there's always disruption happening. And sometimes small is way better and way more competitive than big. Now at the same time, I do look up to the way some of them have organized themselves. Like the way Amazon has organized itself is really unique and creative with general managers and very independent, highly autonomous groups. So some of these organizations will definitely survive and thrive in scale. And yet for others, I think decision-making and staying competitive and staying scrappy will come a lot harder. So to me when I look at these big names and what Congress is talking about and such, I feel like there's no different than 20, 30, 40 years ago. I mean, we talked about Rockefeller and the oil giants back from 100 years ago. And so in many ways, I mean, the more things change, the more they remain the same. All we have to do is we have to walk over to where the customer is. And that's what we've done with the partnerships. Like in Amazon and Azure, we're saying look, we can even use your commits and credits. I mean, that is a very elegant way to go to where the customer is, rather than force them to where we are. And the public cloud is facing this too. They've come to realize in the last two years that they cannot force all of enterprise computing to come to hyperscalers data centers. They'll have to take in these bite-size smaller clouds to where the customer is, where the customer's machines are, where the customers people are, where the customers data is. That's where we also take to disperse the cloud itself. So I think there's going to be a yin yang where we'll try to walk with the customer to where we want them to be, whether it's hyperscaler data center or the notion of hybrid cloud infrastructure. But many a time, we've got to walk over to where they are. I mean, and outside the U.S, I mean, the cloud is such a nuanced word. I mean, we're talking about sovereignty, we're talking about data gravity, we're talking about economics of owning versus renting. This trifecta, the laws of the land, the laws of physics, and the laws of economics will dictate many of these things as well. So I think the big folks are also humble and vulnerable to realize that there's nothing more powerful than market forces. And I think the rest will take care of itself. >> Yeah, my quick commentary on that, Dheeraj, I think most of us look back at AT&T and felt the government got it wrong. The way they broke it up and ended up consolidating back together, it didn't necessarily help consumers. Microsoft on the other hand might've had a little bit too much power and was leveraging that against competition and really squashing innovation. So in general, it's good to see that the politics are looking at that and chore felt. The last time I watched things, they were a little bit more educated than some previous times there, where it was almost embarrassing to watch our representatives fumbling around with technology. So it's always good to question authority, question what they have. And one of the things you've brought up many times is you're open to listening and you're bringing in new ideas. I remember one conversation I had with you is there's that direction that you hold on to, but you will assess and do new data. You've made adjustments in the product portfolio and direction based on your customers, based on the ecosystem. And you've mentioned some of the, bring thoughts that you've brought into the company and you share. So you mentioned black swan that seem to head you brought to one of the European .NEXT shows. It was great to be able to see that author and read through advisors like Condoleezza Rice who you've had at the conferences a couple of times. Where are you getting some of your latest inspiration from, any new authors or podcasts that you'd be recommending to the audience? >> Yeah, I look at adjacencies, obviously Simon has been great. He was .NEXT, talked about the Infinite Game. And we'll talk about the Infinite Game with Nutanix too with respect to also my decision. But Brene Brown was been very close to Nutanix. I was just looking at her latest podcast, and she was sitting with the author of Stretch, Scott Sonnenschein, and it's a fascinating read and a great listen, by the way, I think for worth an hour, talking about scrappiness, and talking about resourcefulness. What does it mean to really be resourceful? And we need that even more so as we go through this recession, as we are sheltered in place. I think it's an adjacency to everything that Brene does. And I was just blown away by just listening to it. I'd a love for others to even have a listen and learn to understand what we can do within our families, with our budgets, with our companies, with our startups. I mean, with CUBE, I mean, what does it mean to be scrappy? And celebrate scrappiness and resourcefulness, more so than AI always need more. I think I just found it fascinating in the last week itself listening through it. >> John Farinacci talk many times that founder, startup, that being able to pull themselves up, be able to drive forward, overcome obstacles. So Dheeraj, do you tee it up? It sounds like is the next step for you. There's a transition under discussion. Bain has made an investment. There's a search for new CEO. Are you saying there's a book club in your future to be able to get things ready? Why don't you explain a little bit, 11 years took the company public, over 6,500 employees public company. So tell us a little bit about that decision-making process and what you expect to see in the future? >> Yeah, it's probably one of the hardest things as an entrepreneur is to let go, because it's a creation that you followed from scratch, from nothing. And it was a process for me to rethink about what's next for the company and then what's next for me? And me and the company were so tightly coupled that I was like, wow, at some point, this has to be a little bit more like the way Bill Gates did it with Microsoft, and there's going to be buton zone and you will then start to realize that your identity is different from the company's identity. And maybe the company is built for bigger, better things. And maybe you're built for bigger, better things. And how do you really start to first do this decoupling of the identity? And it's really hard. I mean, I'm sure that parents go through this. I mean, our children are still very young. Our eldest is nine going on 10 and our twin girls are six. I know at some point in the next 10 years, eight to 10 years, we'll have to figure out what it means to let go. And I'm already doing this with my son. I tell him you're born free. I mean, the word born free which drives my wife crazy sometimes. I say this to them, it's about independence. And I think the company is also born free to really think about a life outside of me, as well outside of founder. And that was a very important process for me as I was talking to the board for the last six, seven, eight months. And when the Bain deal came in, I thought it was a great time. We ended the fiscal really well, all things considered. We had a good quarter. The transition has been a journey of a lifetime, the business model transition I speak of. Really three years, I mean, I have aged probably 10 years in these last three years. But I think I would not replaced it for anything. Just the experience of learning what it means to change as a public company when you have short-term goals and long-term goals, we need the conviction, knowing what's right, because otherwise we would not have survived this cloud movement, all this idea of actually becoming a subscription company, changing the core of the business in the on-prem world itself. It's a king to change the wings of a plane at 40,000 feet where none of the passengers blink. It's been phenomenal ride last 11 years, but it's also been nonstop monomaniacal. I mean, I use the word marathon for this, and I figured it's a good time to say figure out a way to let go of this, and think of what's bigger better for Nutanix. And going from zero to a billion six in annual billings, and looking at billion six to 3 billion to four to five, I think it'd be great &to look at this from afar. And at the same time, I think there's vulnerability. I mean, I've made the company vulnerable. I've made myself vulnerable. We don't know who the next leader will be. And I think the next three to six months is one of the most important baton zones that I have ever experienced to be a part of. So looking forward to make sure that baton doesn't fall, redefine what good to great looks like, both for the company and for myself. And at the same time, go read more. I mean, I've been passionate about developers in the last 10 years, 11 years. I was a developer myself. This company, Nutanix, was really built by developers for IT. And I'm learning more about the developer as a consumer. How do you think about their experience? Not just the things that we throw at them from open source point of view and from cloud and technologies and AI and ML point of view, but really their lives, having them think about revenue and business and really blurring the lines between architects and product managers and developers. I think it's just an unfathomable problem we've created in IT that I would love to go and read and write more about. >> Yeah, so many important things you said there. I absolutely think that there are certain things everybody of course will think of you for a long time with Nutanix, but there is that separation between the role in the company and the person itself, and really appreciated how much you've always shared along those lines. So last question I have and you hit it up a little bit when you talked about developers. Take off your Nutanix hat for a second here, now what do we need to do to make sure that the next decade is successful in this space, cloud as a general guideline? Yes, we know we have skill gap. We know we need more people, we need more diversity. But there's so much that we need and there's so much opportunity, but what do you see and any advice areas that you think are critical for success in the future? >> Yeah, I mean, you hit up on something that I have had a passion for, probably more late in this world, more so than conspicuous, and and you hit upon it right now, diversity and inclusion. It's an unresolved problem in the developer community: the black developer, the woman developer. The idea of, I mean, we've two girls, they're twins. I'd love for them to embrace computer science and even probably do a PhD. I mean, I was a dropout. I'd love for them to do better than I did. Get, embrace things that are adjacent to biology and computer science. Go solve really hard problems. And we've not done those things. I mean, we've not looked at the community of developers and said, you know, they are the maker. And they work with managers and the maker manager world is two different worlds. How do you make this less friction? And how do you make this more delightful? And how do you think of developers as business, as if they are the folks who run the business? I think there's a lot that's missing there. And again, we throw a lot of jargons at them, and we talk a lot about automation and tools and such. But those are just things. I think the last 10, 11 years of me really just thinking about product and product portfolio and design and the fact that we have so many developers at Nutanix. I think it has been a mind-boggling experience, thinking about the why and the how and the what of the day in the life of, the month in the life of, and thinking about simple things like OKRs. I mean, we are throwing these jargons of OKRs at them: productivity, offshoring, remote work, over the zoom design sessions. It's just full of conflict and friction. So I think there is an amazing opportunity for Nutanix. There's an amazing opportunity for the industry to elevate this where the the woman developer can speak up in this world that's full of so many men. The black developer can speak up. And all of us can really think of this as something that's more structured, more productive, more revenue-driven, more customer in rather than developer out. That's really been some of the things that have been in my head, things that are still unresolved at Nutanix that I'm pretty sure at many of the places out there. That's what thinking and reading and writing about. >> Well, Dheeraj, first of all, thank you so much again for participating here. It's been great having you in theCUBE community, almost since the inception of us doing it back in 2010. Wish you the best of luck in the current transition. And absolutely look forward to talking more in the future. >> Thank you. And again, a big fan of the tremor rate of John, Dave, and you. Always learn so much from you, folks. Looking forward to be a constant student. Thank you. >> Thank you for joining us at theCUBE on Cloud. Lots more coverage here. Be sure to look throughout the site, engage in the chats, and give us your feedback. We're here to help you with the virtual events. I'm Stu Miniman as always. Thanks for watching.

Published Date : Jan 5 2021

SUMMARY :

of the brand new technologies, in the last 10 years. and more like the enterprise. and the recession afterwards, and cheaper in the future. So that is the fundamental I don't miss the hotels. I mean the things that One of the other results, Dheeraj, I mean, at the end of the day, And one of the things you've and a great listen, by the and what you expect to see in the future? And I think the next three to six months and the person itself, and the fact that we have so in the current transition. And again, a big fan of the tremor rate engage in the chats, and

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
AmazonORGANIZATION

0.99+

IBMORGANIZATION

0.99+

DheerajPERSON

0.99+

GoogleORGANIZATION

0.99+

John FarinacciPERSON

0.99+

MicrosoftORGANIZATION

0.99+

Condoleezza RicePERSON

0.99+

NutanixORGANIZATION

0.99+

DavePERSON

0.99+

AT&TORGANIZATION

0.99+

Amazon.comORGANIZATION

0.99+

$5,000QUANTITY

0.99+

SimonPERSON

0.99+

BrenePERSON

0.99+

200%QUANTITY

0.99+

sixQUANTITY

0.99+

nineQUANTITY

0.99+

Brene BrownPERSON

0.99+

Simon SinekPERSON

0.99+

Dheeraj PandeyPERSON

0.99+

AppleORGANIZATION

0.99+

eightQUANTITY

0.99+

2005DATE

0.99+

2010DATE

0.99+

JohnPERSON

0.99+

zeroQUANTITY

0.99+

Bill GatesPERSON

0.99+

fiveQUANTITY

0.99+

10 yearsQUANTITY

0.99+

six monthsQUANTITY

0.99+

2020DATE

0.99+

seven yearsQUANTITY

0.99+

40,000 feetQUANTITY

0.99+

Stu MinimanPERSON

0.99+

10QUANTITY

0.99+

fourQUANTITY

0.99+

two girlsQUANTITY

0.99+

1950sDATE

0.99+

CongressORGANIZATION

0.99+

11 yearsQUANTITY

0.99+

one-yearQUANTITY

0.99+

three yearsQUANTITY

0.99+

twoQUANTITY

0.99+

Infinite GameTITLE

0.99+

1940sDATE

0.99+

Silicon ValleyLOCATION

0.99+

IntelORGANIZATION

0.99+

StuPERSON

0.99+

over 6,500 employeesQUANTITY

0.99+

LinuxTITLE

0.99+

oneQUANTITY

0.98+

MoorePERSON

0.98+

last weekDATE

0.98+

U.S.LOCATION

0.98+

twin girlsQUANTITY

0.98+

CapExORGANIZATION

0.98+

theCUBEORGANIZATION

0.98+

U.SLOCATION

0.98+

bothQUANTITY

0.98+

'95DATE

0.98+

firstQUANTITY

0.98+

40 yearsDATE

0.98+

'91DATE

0.97+

Blake Scholl, Boom Supersonic | AWS re:Invent 2020


 

>>From around the globe. It's the cube with digital coverage of AWS reinvent 2020 sponsored by Intel and AWS. >>Welcome back to the cubes coverage of AWS reinvent 2020 live I'm Lisa Martin. Really exciting topic coming up for you next, please. Welcome Blake shoulda, founder and CEO of boom supersonic Blake. It's great to have you on the program. Thank you for having me, Lisa, and your background gives me all the way with what we're going to talk about in the next few minutes or so, but supersonic flight has existed for quite a long time, like 50 or so years. I think those of us in certain generations remember the Concorde for example, but the technology to make it efficient and mainstream is only recently been approved by or accepted by regulators. Tell us a little bit about boom, your mission to make the world more accessible with supersonic commercial flight. Well, a supersonic flight has >> actually been around since 1949 when Chuck Yeager broke the speed barrier or sorry, the sound barrier. >>And as, as many of you know, he actually passed yesterday, uh, 97. So very, very sad to see one of the supersonic pioneers behind us. Uh, but, uh, but as I say goodbye to Jaeger, a new era of supersonic flight is here. And if you look at the history of progress and transportation, since the Dawn of the industrial revolution, uh, we used to make regular progress and speed. As we went from, uh, the horse to the iron horse, to the, the boats, to the, the early propeller airplanes that have the jet age. And what happened was every time we made transportation faster, instead of spending less time traveling, we actually spent more time traveling because there were more places to go, more people to meet. Uh, we haven't had a world war since the Dawn of the jet age. Uh, places like Hawaii have become, uh, a major tourist destination. >>Uh, but today, uh, today it's been 60 years since we've had a mainstream re uh, step forward and speed. So what we're doing here at boom is picking up where Concord left off building an aircraft that flies faster by factor to the, anything you can get a ticket on today. And yet is 75% more affordable than Concorde was. So we want to make Australia as accessible as a why yesterday. We want to enable you to cross the Atlantic, do business, be home in time, detect your kids into bed, or take a three-day business trip to Asia and let you do it in just 24 >> hours. I like the sound of all of that. Even getting on a plane right now in general. I think we all do so, so interesting that you, you want to make this more accessible. And I did see the news about Chuck Yeager last night. >>Um, designing though the first supersonic airliner overture, it's called in decades, as you said, this dates back 60 years, rolling it out goal is to roll it out in 2025 and flying more than 500 trans oceanic routes. Talk to me about how you're leveraging technology and AWS to help facilitate that. Right. Well, so one of the really fascinating things is the new generation of airplanes, uh, are getting born in the cloud and then they're going to go fly through actual clouds. And so there are, there are a bunch of revolutions in technology that have happened since Concord's time that are enabling what we're doing now, their breakthroughs and materials. We've gone from aluminum to carbon fiber they're breakthroughs and engines. We've gone from after burning turbo jets that are loud and inefficient to quiet, clean, efficient turbo fans. But one of the most interesting breakthroughs has been in a available to do design digitally and iteration digitally versus, uh, versus physically. >>So when conquer was designed as an example, they were only able to do about a dozen wind tunnel tests because they were so expensive. And so time consuming and on, uh, on our XP one aircraft, which is our prototype that rolled out in October. Um, uh, we did hundreds of iterations of the design in virtual wind tunnels, where we could spin up a, uh, a simulation and HPC cluster in AWS, often more than 500 cores. And then we'd have our airplanes flying through virtual wind tunnels, thousands of flights scenarios you can figure out which were the losers, which were the winners keep iterating on the winners. And you arrive at an aerodynamic design that is more efficient at high speed. We're going very safely, very quickly in a straight line, but also a very smooth controllable for safe takeoff and landing. And the part of the artist supersonic airplane design is to accomplish both of those things. One, one airplane, and, uh, being able to design in the cloud, the cloud allows us to start up to do what previously only governments and militaries could do. I mentioned we rolled out our XP one prototype in October. That's the first time anyone has rolled out a supersonic civil aircraft since the Soviet union did it in 1968. And we're able to do as a startup because of computing. >>That's incredible born in the cloud to fly in the cloud. So talk to me about a lot of, of opportunity that technology has really accelerated. And we've seen a lot of acceleration this year in particular digital transformation businesses that if they haven't pivoted are probably in some challenging waters. So talk to us about how you're going all in with AWS to facilitate all these things that you just mentioned, which has dramatic change over 12, uh, when tone test for the Concord and how many times did it, >>Uh, I mean for 27 years, but not that many flights, never, it never changed the way mainstream, uh, never, never district some of you and I fly. Right. Um, so, so how, how are we going all in? So we've, you know, we've been using AWS for, uh, you know, basically since the founding of the company. Uh, but what we, what we're doing now is taking things that we were doing outside of the cloud and cloud. Uh, as an example, uh, we have 525 terabytes of XP one design and test data that what used to be backed up offsite. Um, and, and what we're doing is migrating into the cloud. And then your data is next. Your compute, you can start to do these really interesting things as an example, uh, you can run machine learning models to calibrate your simulations to your wind tunnel results, which accelerates convergence allows you to run more iterations even faster, and ultimately come up with a more efficient airplane, which means it's going to be more affordable for all of us to go to go break the sound barrier. >>And that sounds like kind of one of the biggest differences that you just said is that it wasn't built for mainstream before. Now, it's going to be accessibility affordability as well. So how are you going to be leveraging the cloud, you know, design manufacturing, but also other areas like the beyond onboard experience, which I'm already really excited to be participating in in the next few years. >>Yeah. So there's so many, so many examples. We've talked about design a little bit already. Uh, it's going to manifest in the manufacturing process, uh, where the, the, the, the, the supply chain, uh, will be totally digital. The factory operations will be run out of the cloud. You know, so what that means concretely is, uh, you know, literally there'll be like a million parts of this airplane. And for any given unit goes through their production line, you'll instantly know where they all are. Um, you'll know which serial numbers went on, which airplanes, uh, you'll understand, uh, if there was a problem with one of it, how you fixed it. And as you continue to iterate and refine the airplane, this, this is one of things that's actually a big deal, uh, with, with digital in the cloud is, you know, exactly what design iteration went into, exactly which airplane and, uh, and that allows you to actually iterate faster and any given airline with any given airplane will actually know exactly what, what airplane they have, but the next one that rolls off the line might be even a little bit better. >>And so it allows you to keep track of all of that. It allows you to iterate faster, uh, it allows you to spot bottlenecks in your supply chain before they impact production. Um, and then it allows you to, uh, to do preventive maintenance later. So there's to be digital interpretation all over the airplane, it's going to update the cloud on, you know, uh, are the engines running expected temperature. So I'm gonna run a little bit hot, is something vibrating more than it should vibrate. And so you catch these things way before there's any kind of real maintenance issue. You flag it in the cloud. The next time the airplane lands, there's a tech waiting for the airplane with whatever the part is and able to install it. And you don't have any downtime, and you're never anywhere close to a safety issue. You're able to do a lot more preventively versus what you can do today. >>Wow. So you have to say that you're going to be able to, to have a hundred percent visibility into manufacturing design, everything is kind of an understatement, but you launched XQ on your prototype in October. So during the pandemic, as I mentioned, we've been talking for months now on the virtual cube about the acceleration of digital transformation. Andy, Jassy talked about it in his keynote at AWS reinventing, reinventing this year, virtual, what were some of the, the, the advantages that you got, being able to stay on track and imagine if you were on track to launch in October during a time that has been so chaotic, uh, everywhere else, including air travel. >>Well, some of it's very analog, uh, and some of it's very digital. So to start with the analog, uh, we took COVID really seriously at Bo. Uh, we went into that, the pandemic first hit, we shut the company down for a couple of weeks, so we'd kind of get our feet underneath of us. And then we sort of testing, uh, everyone who had to work on the airplane every 14 days, we were religious about wearing masks. And as a result, we haven't had anyone catch COVID within the office. Um, and I'm super proud that we're able to stay productive and stay safe during the pandemic. Um, and you do that, but kind of taking it seriously, doing common sense things. And then there's the digital effort. And, uh, and so, you know, part of the company runs digitally. What we're able to do is when there's kind of a higher alert level, we go a little bit more digital when there's a lower alert level. >>Uh, we have more people in the office cause we, we still really do value that in-person collaboration and which brings it back through to a bigger point. It's been predicted for a long time, that the advent of digital communication is going to cause us not to need to travel. And, uh, what we've seen, you know, since the Dawn of the telephone is that it's actually been the opposite. The more you can know, somebody even a little bit, uh, at distance, the hungry you are to go see them in person, whether it's a business contact or someone you're in love with, um, no matter what it is, there's still that appetite to be there in person. And so I think what we're seeing with the digitization of communication is ultimately going to be very, um, uh, it's very complimentary with supersonic because you can get to know somebody a little bit over a long distance. You can have some kinds of exchanges and then you're, and then the friction for be able to see them in person is going to drop. And that is, uh, that's a wonderful combination. >>I think everybody on the planet welcomes that for sure, given what we've all experienced in the last year, you can have a lot of conversations by zoom. Obviously this was one of them, but there is to your point, something about that in-person collaboration that really takes things can anyway, to the next level. I am curious. So you launched XB one in October, as I mentioned a minute ago, and I think I read from one of your press releases planning to launch in 2025, the overture with over 500 trans oceanic routes. What can we expect from boom and the next year or two, are you on track for that 2025? >>Yeah. Things are going, things are going great. Uh, so to give a sense of what the next few years hold. So we rolled out the assembled XB one aircraft this year, uh, next year that's going to fly. And so that will be the first civil supersonic, uh, flying aircraft ever built by an independent company. Uh, and along the way, we are building the foundation of overture. So that design efforts happening now as XB one is breaking the sound barrier. We'll be finalizing the overture design in 22, we'll break ground in the factory in 23, we'll start building the first airplane and 25, we'll roll it out. And 26 we'll start flight tests. And, uh, and then we'll go through the flight test methodically, uh, systematically as carefully as we can, uh, and then be ready to carry passengers as soon as we are convinced that safe, which will be right around the end of the decade, most likely. >>Okay. Exciting. And so it sounds like you talked about the safety protocols that you guys put in place in the office, which is great. It's great to hear that, but also that this, this time hasn't derailed because you have the massive capabilities of, to be able to do all of the work that's necessary, way more than was done with before with the Concorde. And that you can do that remotely with cloud is a big facilitator of that communication. >>Yeah. You're able to do the cloud enables a lot of computational efficiencies. And I think about the, um, many times projects are not measured in how many months or years exactly does it take you to get done, but it's actually much easier to think about in terms of number of iterations. And so every time we do an airplane iteration, we look at the aerodynamics high speed. We look at the low speed. We look at the engine, uh, we look at the, the weights. Uh, we look at stability and control. We look at pilots, light aside, et cetera, et cetera. And every time you do an iteration, you're kind of looking around all of those and saying, what can I make better? But each one of those, uh, lines up a little bit differently with the rest now, for example, uh, uh, to get the best airplane aerodynamically, doesn't have a good view for the pilot. >>And that's why Concord had that droop nose famously get the nose out of the way so we can see the runway. And so we're able to do digital systems for virtual vision to let the pilot kind of look through the nose of the runway. But even then they're, trade-offs like, how, how good of an actual window do you need? And so your ability to make progress in all of this is proportional to how quickly you can make it around that, that iteration loop, that design cycle loop. And that's, that's part of where the cloud helps us. And we've, we've got some, uh, uh, some stuff we've built in house that runs on the cloud that lets you basically press a button with a whole set of airplane parameters. And bam, it gives you a, it gives you an instant report. I'm like, Oh, was it that this is a good change or bad change, uh, based on running some pretty high fidelity simulations with a very high degree of automation. And you can actually do many of those in parallel. And so it's about, you know, at this stage of the program, it's about accelerating, accelerating your design iterations, uh, giving everyone of the team visibility into those. And then, uh, I think you get together in person as it makes sense to now we're actually hitting a major design milestone with over-treat this week and we're, COVID testing everybody and get them all in the same room. Cause sometimes that in-person collaboration, uh, is really significant, even though you can still do so much digitally. >>I totally agree. There's there's certain things that you just can't replicate. Last question since my brother is a pilot for Southwest and retired Lieutenant Colonel from the air force, any special training that pilots will have to have, or are there certain pilots that are going to be maybe lower hanging fruit, if they have military experience versus commercial flight? Just curious. >>Yeah. So our XB one aircraft is being flown by test pilots. There's one ex Navy one ex air force on our crew, but, uh, overture, uh, will be accessible to any commercial pilot. So, uh, think about it as if you're, if you're used to flying Boeing, it'd be like switching to Airbus, uh, or vice versa. So the, uh, Concord is a complicated aircraft to fly because they didn't have computers. And all the complexity, the soup of supersonic flight was right there and the pilots and an overture, all that gets extracted by software. And, uh, you know, the, the, the ways the flight controls change over speed regimes. You don't have to worry about it, but the airplane is handled beautifully, no matter what you're doing. And so, uh, and so there are many, many places to innovate, but actually pilot experience, not one of them, >>Because the more conventional you can make it for people like your brother, the easier it's going to be for them to learn the aircraft. And therefore the safer it's going to be to fly. I'll let them know, like this has been fantastic, really exciting to see what boom supersonic is doing and the opportunities to make supersonic travel accessible. And I think at a time when everybody wants the world to open up, so by 20, 26, I'm going to be looking for my ticket. Awesome. Can't wait to have you on board. Likewise for Blake shul, I'm Lisa Martin. You're watching the QS live coverage of AWS reinvent 2020.

Published Date : Dec 9 2020

SUMMARY :

It's the cube with digital coverage of AWS It's great to have you on the program. the sound barrier. And as, as many of you know, he actually passed yesterday, uh, 97. We want to enable you to cross the Atlantic, And I did see the news about Chuck Yeager last night. And so there are, there are a bunch of revolutions in technology that have happened since Concord's time that And you arrive at an aerodynamic design that is more That's incredible born in the cloud to fly in the cloud. as an example, uh, you can run machine learning models to calibrate your simulations And that sounds like kind of one of the biggest differences that you just said is that it wasn't built for mainstream before. And as you continue to iterate all over the airplane, it's going to update the cloud on, you know, uh, are the engines running expected temperature. that you got, being able to stay on track and imagine if you were on track to launch in October And, uh, and so, you know, part of the company runs digitally. uh, what we've seen, you know, since the Dawn of the telephone is that it's actually the last year, you can have a lot of conversations by zoom. Uh, and along the way, we are building the foundation of overture. And that you can do that remotely with cloud is a big facilitator of that communication. And every time you do an iteration, you're kind of looking around all of those And then, uh, I think you get together in person as There's there's certain things that you just can't replicate. And, uh, you know, the, the, the ways the flight controls change over Because the more conventional you can make it for people like your brother, the easier it's going to be for them to learn

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

AndyPERSON

0.99+

AWSORGANIZATION

0.99+

Chuck YeagerPERSON

0.99+

AsiaLOCATION

0.99+

OctoberDATE

0.99+

1968DATE

0.99+

2025DATE

0.99+

LisaPERSON

0.99+

27 yearsQUANTITY

0.99+

next yearDATE

0.99+

60 yearsQUANTITY

0.99+

75%QUANTITY

0.99+

525 terabytesQUANTITY

0.99+

1949DATE

0.99+

AirbusORGANIZATION

0.99+

HawaiiLOCATION

0.99+

AustraliaLOCATION

0.99+

Blake SchollPERSON

0.99+

yesterdayDATE

0.99+

BoeingORGANIZATION

0.99+

last yearDATE

0.99+

thousandsQUANTITY

0.99+

first airplaneQUANTITY

0.99+

Blake shulPERSON

0.99+

last nightDATE

0.99+

JassyPERSON

0.99+

todayDATE

0.99+

oneQUANTITY

0.99+

ConcordORGANIZATION

0.99+

XB oneCOMMERCIAL_ITEM

0.99+

more than 500 coresQUANTITY

0.99+

50QUANTITY

0.99+

AtlanticLOCATION

0.99+

bothQUANTITY

0.98+

pandemicEVENT

0.98+

hundred percentQUANTITY

0.98+

IntelORGANIZATION

0.98+

this yearDATE

0.98+

first timeQUANTITY

0.97+

this yearDATE

0.97+

JaegerPERSON

0.96+

this weekDATE

0.96+

more than 500 trans oceanic routesQUANTITY

0.96+

OneQUANTITY

0.95+

SouthwestORGANIZATION

0.95+

24 >> hoursQUANTITY

0.95+

XPCOMMERCIAL_ITEM

0.94+

Soviet unionORGANIZATION

0.94+

a minute agoDATE

0.93+

first hitQUANTITY

0.93+

three-day businessQUANTITY

0.93+

over 12QUANTITY

0.92+

26OTHER

0.92+

ConcordeORGANIZATION

0.91+

25OTHER

0.91+

first civilQUANTITY

0.9+

26QUANTITY

0.9+

about a dozen wind tunnel testsQUANTITY

0.9+

each oneQUANTITY

0.9+

over 500 trans oceanic routesQUANTITY

0.9+

NavyORGANIZATION

0.89+

one airplaneQUANTITY

0.89+

Blake shouldaPERSON

0.88+

Dawn of the industrial revolutionEVENT

0.87+

20QUANTITY

0.86+

Armstrong and Guhamad and Jacques V2


 

>>from around the globe. It's the Cube covering >>space and cybersecurity. Symposium 2020 hosted by Cal Poly >>Over On Welcome to this Special virtual conference. The Space and Cybersecurity Symposium 2020 put on by Cal Poly with support from the Cube. I'm John for your host and master of ceremonies. Got a great topic today in this session. Really? The intersection of space and cybersecurity. This topic and this conversation is the cybersecurity workforce development through public and private partnerships. And we've got a great lineup. We have Jeff Armstrong's the president of California Polytechnic State University, also known as Cal Poly Jeffrey. Thanks for jumping on and Bang. Go ahead. The second director of C four s R Division. And he's joining us from the office of the Under Secretary of Defense for the acquisition Sustainment Department of Defense, D O D. And, of course, Steve Jake's executive director, founder, National Security Space Association and managing partner at Bello's. Gentlemen, thank you for joining me for this session. We got an hour conversation. Thanks for coming on. >>Thank you. >>So we got a virtual event here. We've got an hour, have a great conversation and love for you guys do? In opening statement on how you see the development through public and private partnerships around cybersecurity in space, Jeff will start with you. >>Well, thanks very much, John. It's great to be on with all of you. Uh, on behalf Cal Poly Welcome, everyone. Educating the workforce of tomorrow is our mission to Cal Poly. Whether that means traditional undergraduates, master students are increasingly mid career professionals looking toe up, skill or re skill. Our signature pedagogy is learn by doing, which means that our graduates arrive at employers ready Day one with practical skills and experience. We have long thought of ourselves is lucky to be on California's beautiful central Coast. But in recent years, as we have developed closer relationships with Vandenberg Air Force Base, hopefully the future permanent headquarters of the United States Space Command with Vandenberg and other regional partners, we have discovered that our location is even more advantages than we thought. We're just 50 miles away from Vandenberg, a little closer than u C. Santa Barbara, and the base represents the southern border of what we have come to think of as the central coast region. Cal Poly and Vandenberg Air force base have partner to support regional economic development to encourage the development of a commercial spaceport toe advocate for the space Command headquarters coming to Vandenberg and other ventures. These partnerships have been possible because because both parties stand to benefit Vandenberg by securing new streams of revenue, workforce and local supply chain and Cal Poly by helping to grow local jobs for graduates, internship opportunities for students, and research and entrepreneurship opportunities for faculty and staff. Crucially, what's good for Vandenberg Air Force Base and for Cal Poly is also good for the Central Coast and the US, creating new head of household jobs, infrastructure and opportunity. Our goal is that these new jobs bring more diversity and sustainability for the region. This regional economic development has taken on a life of its own, spawning a new nonprofit called Reach, which coordinates development efforts from Vandenberg Air Force Base in the South to camp to Camp Roberts in the North. Another factor that is facilitated our relationship with Vandenberg Air Force Base is that we have some of the same friends. For example, Northrop Grumman has has long been an important defense contractor, an important partner to Cal poly funding scholarships and facilities that have allowed us to stay current with technology in it to attract highly qualified students for whom Cal Poly's costs would otherwise be prohibitive. For almost 20 years north of grimness funded scholarships for Cal Poly students this year, their funding 64 scholarships, some directly in our College of Engineering and most through our Cal Poly Scholars program, Cal Poly Scholars, a support both incoming freshman is transfer students. These air especially important because it allows us to provide additional support and opportunities to a group of students who are mostly first generation, low income and underrepresented and who otherwise might not choose to attend Cal Poly. They also allow us to recruit from partner high schools with large populations of underrepresented minority students, including the Fortune High School in Elk Grove, which we developed a deep and lasting connection. We know that the best work is done by balanced teams that include multiple and diverse perspectives. These scholarships help us achieve that goal, and I'm sure you know Northrop Grumman was recently awarded a very large contract to modernized the U. S. I. C B M Armory with some of the work being done at Vandenberg Air Force Base, thus supporting the local economy and protecting protecting our efforts in space requires partnerships in the digital realm. How Polly is partnered with many private companies, such as AWS. Our partnerships with Amazon Web services has enabled us to train our students with next generation cloud engineering skills, in part through our jointly created digital transformation hub. Another partnership example is among Cal Poly's California Cybersecurity Institute, College of Engineering and the California National Guard. This partnership is focused on preparing a cyber ready workforce by providing faculty and students with a hands on research and learning environment, side by side with military, law enforcement professionals and cyber experts. We also have a long standing partnership with PG and E, most recently focused on workforce development and redevelopment. Many of our graduates do indeed go on to careers in aerospace and defense industry as a rough approximation. More than 4500 Cal Poly graduates list aerospace and defense as their employment sector on linked in, and it's not just our engineers and computer sciences. When I was speaking to our fellow Panelists not too long ago, >>are >>speaking to bang, we learned that Rachel sins, one of our liberal arts arts majors, is working in his office. So shout out to you, Rachel. And then finally, of course, some of our graduates sword extraordinary heights such as Commander Victor Glover, who will be heading to the International space station later this year as I close. All of which is to say that we're deeply committed the workforce, development and redevelopment that we understand the value of public private partnerships and that were eager to find new ways in which to benefit everyone from this further cooperation. So we're committed to the region, the state in the nation and our past efforts in space, cybersecurity and links to our partners at as I indicated, aerospace industry and governmental partners provides a unique position for us to move forward in the interface of space and cybersecurity. Thank you so much, John. >>President, I'm sure thank you very much for the comments and congratulations to Cal Poly for being on the forefront of innovation and really taking a unique progressive. You and wanna tip your hat to you guys over there. Thank you very much for those comments. Appreciate it. Bahng. Department of Defense. Exciting you gotta defend the nation spaces Global. Your opening statement. >>Yes, sir. Thanks, John. Appreciate that day. Thank you, everybody. I'm honored to be this panel along with President Armstrong, Cal Poly in my long longtime friend and colleague Steve Jakes of the National Security Space Association, to discuss a very important topic of cybersecurity workforce development, as President Armstrong alluded to, I'll tell you both of these organizations, Cal Poly and the N S. A have done and continue to do an exceptional job at finding talent, recruiting them in training current and future leaders and technical professionals that we vitally need for our nation's growing space programs. A swell Asare collective National security Earlier today, during Session three high, along with my colleague Chris Hansen discussed space, cyber Security and how the space domain is changing the landscape of future conflicts. I discussed the rapid emergence of commercial space with the proliferations of hundreds, if not thousands, of satellites providing a variety of services, including communications allowing for global Internet connectivity. S one example within the O. D. We continue to look at how we can leverage this opportunity. I'll tell you one of the enabling technologies eyes the use of small satellites, which are inherently cheaper and perhaps more flexible than the traditional bigger systems that we have historically used unemployed for the U. D. Certainly not lost on Me is the fact that Cal Poly Pioneer Cube SATs 2020 some years ago, and they set the standard for the use of these systems today. So they saw the valiant benefit gained way ahead of everybody else, it seems, and Cal Poly's focus on training and education is commendable. I especially impressed by the efforts of another of Steve's I colleague, current CEO Mr Bill Britain, with his high energy push to attract the next generation of innovators. Uh, earlier this year, I had planned on participating in this year's Cyber Innovation Challenge. In June works Cal Poly host California Mill and high school students and challenge them with situations to test their cyber knowledge. I tell you, I wish I had that kind of opportunity when I was a kid. Unfortunately, the pandemic change the plan. Why I truly look forward. Thio feature events such as these Thio participating. Now I want to recognize my good friend Steve Jakes, whom I've known for perhaps too long of a time here over two decades or so, who was in acknowledge space expert and personally, I truly applaud him for having the foresight of years back to form the National Security Space Association to help the entire space enterprise navigate through not only technology but Polly policy issues and challenges and paved the way for operational izing space. Space is our newest horrifying domain. That's not a secret anymore. Uh, and while it is a unique area, it shares a lot of common traits with the other domains such as land, air and sea, obviously all of strategically important to the defense of the United States. In conflict they will need to be. They will all be contested and therefore they all need to be defended. One domain alone will not win future conflicts in a joint operation. We must succeed. All to defending space is critical as critical is defending our other operational domains. Funny space is no longer the sanctuary available only to the government. Increasingly, as I discussed in the previous session, commercial space is taking the lead a lot of different areas, including R and D, A so called new space, so cyber security threat is even more demanding and even more challenging. Three US considers and federal access to and freedom to operate in space vital to advancing security, economic prosperity, prosperity and scientific knowledge of the country. That's making cyberspace an inseparable component. America's financial, social government and political life. We stood up US Space force ah, year ago or so as the newest military service is like the other services. Its mission is to organize, train and equip space forces in order to protect us and allied interest in space and to provide space capabilities to the joint force. Imagine combining that US space force with the U. S. Cyber Command to unify the direction of space and cyberspace operation strengthened U D capabilities and integrate and bolster d o d cyber experience. Now, of course, to enable all of this requires had trained and professional cadre of cyber security experts, combining a good mix of policy as well as high technical skill set much like we're seeing in stem, we need to attract more people to this growing field. Now the D. O. D. Is recognized the importance of the cybersecurity workforce, and we have implemented policies to encourage his growth Back in 2013 the deputy secretary of defense signed the D. O d cyberspace workforce strategy to create a comprehensive, well equipped cyber security team to respond to national security concerns. Now this strategy also created a program that encourages collaboration between the D. O. D and private sector employees. We call this the Cyber Information Technology Exchange program or site up. It's an exchange programs, which is very interesting, in which a private sector employees can naturally work for the D. O. D. In a cyber security position that spans across multiple mission critical areas are important to the d. O. D. A key responsibility of cybersecurity community is military leaders on the related threats and cyber security actions we need to have to defeat these threats. We talk about rapid that position, agile business processes and practices to speed up innovation. Likewise, cybersecurity must keep up with this challenge to cyber security. Needs to be right there with the challenges and changes, and this requires exceptional personnel. We need to attract talent investing the people now to grow a robust cybersecurity, workforce, streets, future. I look forward to the panel discussion, John. Thank you. >>Thank you so much bomb for those comments and you know, new challenges and new opportunities and new possibilities and free freedom Operating space. Critical. Thank you for those comments. Looking forward. Toa chatting further. Steve Jakes, executive director of N. S. S. A Europe opening statement. >>Thank you, John. And echoing bangs thanks to Cal Poly for pulling these this important event together and frankly, for allowing the National Security Space Association be a part of it. Likewise, we on behalf the association delighted and honored Thio be on this panel with President Armstrong along with my friend and colleague Bonneau Glue Mahad Something for you all to know about Bomb. He spent the 1st 20 years of his career in the Air Force doing space programs. He then went into industry for several years and then came back into government to serve. Very few people do that. So bang on behalf of the space community, we thank you for your long life long devotion to service to our nation. We really appreciate that and I also echo a bang shot out to that guy Bill Britain, who has been a long time co conspirator of ours for a long time and you're doing great work there in the cyber program at Cal Poly Bill, keep it up. But professor arms trying to keep a close eye on him. Uh, I would like to offer a little extra context to the great comments made by by President Armstrong and bahng. Uh, in our view, the timing of this conference really could not be any better. Um, we all recently reflected again on that tragic 9 11 surprise attack on our homeland. And it's an appropriate time, we think, to take pause while the percentage of you in the audience here weren't even born or babies then For the most of us, it still feels like yesterday. And moreover, a tragedy like 9 11 has taught us a lot to include to be more vigilant, always keep our collective eyes and ears open to include those quote eyes and ears from space, making sure nothing like this ever happens again. So this conference is a key aspect. Protecting our nation requires we work in a cybersecurity environment at all times. But, you know, the fascinating thing about space systems is we can't see him. No, sir, We see Space launches man there's nothing more invigorating than that. But after launch, they become invisible. So what are they really doing up there? What are they doing to enable our quality of life in the United States and in the world? Well, to illustrate, I'd like to paraphrase elements of an article in Forbes magazine by Bonds and my good friend Chuck Beans. Chuck. It's a space guy, actually had Bonds job a fuse in the Pentagon. He is now chairman and chief strategy officer at York Space Systems, and in his spare time he's chairman of the small satellites. Chuck speaks in words that everyone can understand. So I'd like to give you some of his words out of his article. Uh, they're afraid somewhat. So these are Chuck's words. Let's talk about average Joe and playing Jane. Before heading to the airport for a business trip to New York City, Joe checks the weather forecast informed by Noah's weather satellites to see what pack for the trip. He then calls an uber that space app. Everybody uses it matches riders with drivers via GPS to take into the airport, So Joe has lunch of the airport. Unbeknownst to him, his organic lunch is made with the help of precision farming made possible through optimized irrigation and fertilization, with remote spectral sensing coming from space and GPS on the plane, the pilot navigates around weather, aided by GPS and nose weather satellites. And Joe makes his meeting on time to join his New York colleagues in a video call with a key customer in Singapore made possible by telecommunication satellites. Around to his next meeting, Joe receives notice changing the location of the meeting to another to the other side of town. So he calmly tells Syria to adjust the destination, and his satellite guided Google maps redirects him to the new location. That evening, Joe watches the news broadcast via satellite. The report details a meeting among world leaders discussing the developing crisis in Syria. As it turns out, various forms of quote remotely sensed. Information collected from satellites indicate that yet another band, chemical weapon, may have been used on its own people. Before going to bed, Joe decides to call his parents and congratulate them for their wedding anniversary as they cruise across the Atlantic, made possible again by communications satellites and Joe's parents can enjoy the call without even wondering how it happened the next morning. Back home, Joe's wife, Jane, is involved in a car accident. Her vehicle skids off the road. She's knocked unconscious, but because of her satellite equipped on star system, the crash is detected immediately and first responders show up on the scene. In time, Joe receives the news books. An early trip home sends flowers to his wife as he orders another uber to the airport. Over that 24 hours, Joe and Jane used space system applications for nearly every part of their day. Imagine the consequences if at any point they were somehow denied these services, whether they be by natural causes or a foreign hostility. And each of these satellite applications used in this case were initially developed for military purposes and continue to be, but also have remarkable application on our way of life. Just many people just don't know that. So, ladies and gentlemen, now you know, thanks to chuck beans, well, the United States has a proud heritage being the world's leading space faring nation, dating back to the Eisenhower and Kennedy years. Today we have mature and robust systems operating from space, providing overhead reconnaissance to quote, wash and listen, provide missile warning, communications, positioning, navigation and timing from our GPS system. Much of what you heard in Lieutenant General J. T. Thompson earlier speech. These systems are not only integral to our national security, but also our also to our quality of life is Chuck told us. We simply no longer could live without these systems as a nation and for that matter, as a world. But over the years, adversary like adversaries like China, Russia and other countries have come to realize the value of space systems and are aggressively playing ketchup while also pursuing capabilities that will challenge our systems. As many of you know, in 2000 and seven, China demonstrated it's a set system by actually shooting down is one of its own satellites and has been aggressively developing counter space systems to disrupt hours. So in a heavily congested space environment, our systems are now being contested like never before and will continue to bay well as Bond mentioned, the United States has responded to these changing threats. In addition to adding ways to protect our system, the administration and in Congress recently created the United States Space Force and the operational you United States Space Command, the latter of which you heard President Armstrong and other Californians hope is going to be located. Vandenberg Air Force Base Combined with our intelligence community today, we have focused military and civilian leadership now in space. And that's a very, very good thing. Commence, really. On the industry side, we did create the National Security Space Association devoted solely to supporting the national security Space Enterprise. We're based here in the D C area, but we have arms and legs across the country, and we are loaded with extraordinary talent. In scores of Forman, former government executives, So S s a is joined at the hip with our government customers to serve and to support. We're busy with a multitude of activities underway ranging from a number of thought provoking policy. Papers are recurring space time Webcast supporting Congress's Space Power Caucus and other main serious efforts. Check us out at NSS. A space dot org's One of our strategic priorities in central to today's events is to actively promote and nurture the workforce development. Just like cow calling. We will work with our U. S. Government customers, industry leaders and academia to attract and recruit students to join the space world, whether in government or industry and two assistant mentoring and training as their careers. Progress on that point, we're delighted. Be delighted to be working with Cal Poly as we hopefully will undertake a new pilot program with him very soon. So students stay tuned something I can tell you Space is really cool. While our nation's satellite systems are technical and complex, our nation's government and industry work force is highly diverse, with a combination of engineers, physicists, method and mathematicians, but also with a large non technical expertise as well. Think about how government gets things thes systems designed, manufactured, launching into orbit and operating. They do this via contracts with our aerospace industry, requiring talents across the board from cost estimating cost analysis, budgeting, procurement, legal and many other support. Tasker Integral to the mission. Many thousands of people work in the space workforce tens of billions of dollars every year. This is really cool stuff, no matter what your education background, a great career to be part of. When summary as bang had mentioned Aziz, well, there is a great deal of exciting challenges ahead we will see a new renaissance in space in the years ahead, and in some cases it's already begun. Billionaires like Jeff Bezos, Elon Musk, Sir Richard Richard Branson are in the game, stimulating new ideas in business models, other private investors and start up companies. Space companies are now coming in from all angles. The exponential advancement of technology and microelectronics now allows the potential for a plethora of small SAT systems to possibly replace older satellites the size of a Greyhound bus. It's getting better by the day and central to this conference, cybersecurity is paramount to our nation's critical infrastructure in space. So once again, thanks very much, and I look forward to the further conversation. >>Steve, thank you very much. Space is cool. It's relevant. But it's important, as you pointed out, and you're awesome story about how it impacts our life every day. So I really appreciate that great story. I'm glad you took the time Thio share that you forgot the part about the drone coming over in the crime scene and, you know, mapping it out for you. But that would add that to the story later. Great stuff. My first question is let's get into the conversations because I think this is super important. President Armstrong like you to talk about some of the points that was teased out by Bang and Steve. One in particular is the comment around how military research was important in developing all these capabilities, which is impacting all of our lives. Through that story. It was the military research that has enabled a generation and generation of value for consumers. This is kind of this workforce conversation. There are opportunities now with with research and grants, and this is, ah, funding of innovation that it's highly accelerate. It's happening very quickly. Can you comment on how research and the partnerships to get that funding into the universities is critical? >>Yeah, I really appreciate that And appreciate the comments of my colleagues on it really boils down to me to partnerships, public private partnerships. You mentioned Northrop Grumman, but we have partnerships with Lockie Martin, Boeing, Raytheon Space six JPL, also member of organization called Business Higher Education Forum, which brings together university presidents and CEOs of companies. There's been focused on cybersecurity and data science, and I hope that we can spill into cybersecurity in space but those partnerships in the past have really brought a lot forward at Cal Poly Aziz mentioned we've been involved with Cube set. Uh, we've have some secure work and we want to plan to do more of that in the future. Uh, those partnerships are essential not only for getting the r and d done, but also the students, the faculty, whether masters or undergraduate, can be involved with that work. Uh, they get that real life experience, whether it's on campus or virtually now during Covic or at the location with the partner, whether it may be governmental or our industry. Uh, and then they're even better equipped, uh, to hit the ground running. And of course, we'd love to see even more of our students graduate with clearance so that they could do some of that a secure work as well. So these partnerships are absolutely critical, and it's also in the context of trying to bring the best and the brightest and all demographics of California and the US into this field, uh, to really be successful. So these partnerships are essential, and our goal is to grow them just like I know other colleagues and C. S u and the U C are planning to dio, >>you know, just as my age I've seen I grew up in the eighties, in college and during that systems generation and that the generation before me, they really kind of pioneered the space that spawned the computer revolution. I mean, you look at these key inflection points in our lives. They were really funded through these kinds of real deep research. Bond talk about that because, you know, we're living in an age of cloud. And Bezos was mentioned. Elon Musk. Sir Richard Branson. You got new ideas coming in from the outside. You have an accelerated clock now on terms of the innovation cycles, and so you got to react differently. You guys have programs to go outside >>of >>the Defense Department. How important is this? Because the workforce that air in schools and our folks re skilling are out there and you've been on both sides of the table. So share your thoughts. >>No, thanks, John. Thanks for the opportunity responded. And that's what you hit on the notes back in the eighties, R and D in space especially, was dominated by my government funding. Uh, contracts and so on. But things have changed. As Steve pointed out, A lot of these commercial entities funded by billionaires are coming out of the woodwork funding R and D. So they're taking the lead. So what we can do within the deal, the in government is truly take advantage of the work they've done on. Uh, since they're they're, you know, paving the way to new new approaches and new way of doing things. And I think we can We could certainly learn from that. And leverage off of that saves us money from an R and D standpoint while benefiting from from the product that they deliver, you know, within the O D Talking about workforce development Way have prioritized we have policies now to attract and retain talent. We need I I had the folks do some research and and looks like from a cybersecurity workforce standpoint. A recent study done, I think, last year in 2019 found that the cybersecurity workforce gap in the U. S. Is nearing half a million people, even though it is a growing industry. So the pipeline needs to be strengthened off getting people through, you know, starting young and through college, like assess a professor Armstrong indicated, because we're gonna need them to be in place. Uh, you know, in a period of about maybe a decade or so, Uh, on top of that, of course, is the continuing issue we have with the gap with with stamps students, we can't afford not to have expertise in place to support all the things we're doing within the with the not only deal with the but the commercial side as well. Thank you. >>How's the gap? Get? Get filled. I mean, this is the this is again. You got cybersecurity. I mean, with space. It's a whole another kind of surface area, if you will, in early surface area. But it is. It is an I o t. Device if you think about it. But it does have the same challenges. That's kind of current and and progressive with cybersecurity. Where's the gap Get filled, Steve Or President Armstrong? I mean, how do you solve the problem and address this gap in the workforce? What is some solutions and what approaches do we need to put in place? >>Steve, go ahead. I'll follow up. >>Okay. Thanks. I'll let you correct. May, uh, it's a really good question, and it's the way I would. The way I would approach it is to focus on it holistically and to acknowledge it up front. And it comes with our teaching, etcetera across the board and from from an industry perspective, I mean, we see it. We've gotta have secure systems with everything we do and promoting this and getting students at early ages and mentoring them and throwing internships at them. Eyes is so paramount to the whole the whole cycle, and and that's kind of and it really takes focused attention. And we continue to use the word focus from an NSS, a perspective. We know the challenges that are out there. There are such talented people in the workforce on the government side, but not nearly enough of them. And likewise on industry side. We could use Maura's well, but when you get down to it, you know we can connect dots. You know that the the aspect That's a Professor Armstrong talked about earlier toe where you continue to work partnerships as much as you possibly can. We hope to be a part of that. That network at that ecosystem the will of taking common objectives and working together to kind of make these things happen and to bring the power not just of one or two companies, but our our entire membership to help out >>President >>Trump. Yeah, I would. I would also add it again. It's back to partnerships that I talked about earlier. One of our partners is high schools and schools fortune Margaret Fortune, who worked in a couple of, uh, administrations in California across party lines and education. Their fifth graders all visit Cal Poly and visit our learned by doing lab and you, you've got to get students interested in stem at a early age. We also need the partnerships, the scholarships, the financial aid so the students can graduate with minimal to no debt to really hit the ground running. And that's exacerbated and really stress. Now, with this covert induced recession, California supports higher education at a higher rate than most states in the nation. But that is that has dropped this year or reasons. We all understand, uh, due to Kobe, and so our partnerships, our creativity on making sure that we help those that need the most help financially uh, that's really key, because the gaps air huge eyes. My colleagues indicated, you know, half of half a million jobs and you need to look at the the students that are in the pipeline. We've got to enhance that. Uh, it's the in the placement rates are amazing. Once the students get to a place like Cal Poly or some of our other amazing CSU and UC campuses, uh, placement rates are like 94%. >>Many of our >>engineers, they have jobs lined up a year before they graduate. So it's just gonna take key partnerships working together. Uh, and that continued partnership with government, local, of course, our state of CSU on partners like we have here today, both Stephen Bang So partnerships the thing >>e could add, you know, the collaboration with universities one that we, uh, put a lot of emphasis, and it may not be well known fact, but as an example of national security agencies, uh, National Centers of Academic Excellence in Cyber, the Fast works with over 270 colleges and universities across the United States to educate its 45 future cyber first responders as an example, so that Zatz vibrant and healthy and something that we ought Teoh Teik, banjo >>off. Well, I got the brain trust here on this topic. I want to get your thoughts on this one point. I'd like to define what is a public private partnership because the theme that's coming out of the symposium is the script has been flipped. It's a modern error. Things air accelerated get you got security. So you get all these things kind of happen is a modern approach and you're seeing a digital transformation play out all over the world in business. Andi in the public sector. So >>what is what >>is a modern public private partnership? What does it look like today? Because people are learning differently, Covert has pointed out, which was that we're seeing right now. How people the progressions of knowledge and learning truth. It's all changing. How do you guys view the modern version of public private partnership and some some examples and improve points? Can you can you guys share that? We'll start with the Professor Armstrong. >>Yeah. A zai indicated earlier. We've had on guy could give other examples, but Northup Grumman, uh, they helped us with cyber lab. Many years ago. That is maintained, uh, directly the software, the connection outside its its own unit so that students can learn the hack, they can learn to penetrate defenses, and I know that that has already had some considerations of space. But that's a benefit to both parties. So a good public private partnership has benefits to both entities. Uh, in the common factor for universities with a lot of these partnerships is the is the talent, the talent that is, that is needed, what we've been working on for years of the, you know, that undergraduate or master's or PhD programs. But now it's also spilling into Skilling and re Skilling. As you know, Jobs. Uh, you know, folks were in jobs today that didn't exist two years, three years, five years ago. But it also spills into other aspects that can expand even mawr. We're very fortunate. We have land, there's opportunities. We have one tech part project. We're expanding our tech park. I think we'll see opportunities for that, and it'll it'll be adjusted thio, due to the virtual world that we're all learning more and more about it, which we were in before Cove it. But I also think that that person to person is going to be important. Um, I wanna make sure that I'm driving across the bridge. Or or that that satellites being launched by the engineer that's had at least some in person training, uh, to do that and that experience, especially as a first time freshman coming on a campus, getting that experience expanding and as adult. And we're gonna need those public private partnerships in order to continue to fund those at a level that is at the excellence we need for these stem and engineering fields. >>It's interesting People in technology can work together in these partnerships in a new way. Bank Steve Reaction Thio the modern version of what a public, successful private partnership looks like. >>If I could jump in John, I think, you know, historically, Dodi's has have had, ah, high bar thio, uh, to overcome, if you will, in terms of getting rapid pulling in your company. This is the fault, if you will and not rely heavily in are the usual suspects of vendors and like and I think the deal is done a good job over the last couple of years off trying to reduce the burden on working with us. You know, the Air Force. I think they're pioneering this idea around pitch days where companies come in, do a two hour pitch and immediately notified of a wooden award without having to wait a long time. Thio get feedback on on the quality of the product and so on. So I think we're trying to do our best. Thio strengthen that partnership with companies outside the main group of people that we typically use. >>Steve, any reaction? Comment to add? >>Yeah, I would add a couple of these air. Very excellent thoughts. Uh, it zits about taking a little gamble by coming out of your comfort zone. You know, the world that Bond and Bond lives in and I used to live in in the past has been quite structured. It's really about we know what the threat is. We need to go fix it, will design it says we go make it happen, we'll fly it. Um, life is so much more complicated than that. And so it's it's really to me. I mean, you take you take an example of the pitch days of bond talks about I think I think taking a gamble by attempting to just do a lot of pilot programs, uh, work the trust factor between government folks and the industry folks in academia. Because we are all in this together in a lot of ways, for example. I mean, we just sent the paper to the White House of their requests about, you know, what would we do from a workforce development perspective? And we hope Thio embellish on this over time once the the initiative matures. But we have a piece of it, for example, is the thing we call clear for success getting back Thio Uh, President Armstrong's comments at the collegiate level. You know, high, high, high quality folks are in high demand. So why don't we put together a program they grabbed kids in their their underclass years identifies folks that are interested in doing something like this. Get them scholarships. Um, um, I have a job waiting for them that their contract ID for before they graduate, and when they graduate, they walk with S C I clearance. We believe that could be done so, and that's an example of ways in which the public private partnerships can happen to where you now have a talented kid ready to go on Day one. We think those kind of things can happen. It just gets back down to being focused on specific initiatives, give them giving them a chance and run as many pilot programs as you can like these days. >>That's a great point, E. President. >>I just want to jump in and echo both the bank and Steve's comments. But Steve, that you know your point of, you know, our graduates. We consider them ready Day one. Well, they need to be ready Day one and ready to go secure. We totally support that and and love to follow up offline with you on that. That's that's exciting, uh, and needed very much needed mawr of it. Some of it's happening, but way certainly have been thinking a lot about that and making some plans, >>and that's a great example of good Segway. My next question. This kind of reimagining sees work flows, eyes kind of breaking down the old the old way and bringing in kind of a new way accelerated all kind of new things. There are creative ways to address this workforce issue, and this is the next topic. How can we employ new creative solutions? Because, let's face it, you know, it's not the days of get your engineering degree and and go interview for a job and then get slotted in and get the intern. You know the programs you get you particularly through the system. This is this is multiple disciplines. Cybersecurity points at that. You could be smart and math and have, ah, degree in anthropology and even the best cyber talents on the planet. So this is a new new world. What are some creative approaches that >>you know, we're >>in the workforce >>is quite good, John. One of the things I think that za challenge to us is you know, we got somehow we got me working for with the government, sexy, right? The part of the challenge we have is attracting the right right level of skill sets and personnel. But, you know, we're competing oftentimes with the commercial side, the gaming industry as examples of a big deal. And those are the same talents. We need to support a lot of programs we have in the U. D. So somehow we have to do a better job to Steve's point off, making the work within the U. D within the government something that they would be interested early on. So I tracked him early. I kind of talked about Cal Poly's, uh, challenge program that they were gonna have in June inviting high school kid. We're excited about the whole idea of space and cyber security, and so on those air something. So I think we have to do it. Continue to do what were the course the next several years. >>Awesome. Any other creative approaches that you guys see working or might be on idea, or just a kind of stoked the ideation out their internship. So obviously internships are known, but like there's gotta be new ways. >>I think you can take what Steve was talking about earlier getting students in high school, uh, and aligning them sometimes. Uh, that intern first internship, not just between the freshman sophomore year, but before they inter cal poly per se. And they're they're involved s So I think that's, uh, absolutely key. Getting them involved many other ways. Um, we have an example of of up Skilling a redeveloped work redevelopment here in the Central Coast. PG and e Diablo nuclear plant as going to decommission in around 2020 24. And so we have a ongoing partnership toe work on reposition those employees for for the future. So that's, you know, engineering and beyond. Uh, but think about that just in the manner that you were talking about. So the up skilling and re Skilling uh, on I think that's where you know, we were talking about that Purdue University. Other California universities have been dealing with online programs before cove it and now with co vid uh, so many more faculty or were pushed into that area. There's going to be much more going and talk about workforce development and up Skilling and Re Skilling The amount of training and education of our faculty across the country, uh, in in virtual, uh, and delivery has been huge. So there's always a silver linings in the cloud. >>I want to get your guys thoughts on one final question as we in the in the segment. And we've seen on the commercial side with cloud computing on these highly accelerated environments where you know, SAS business model subscription. That's on the business side. But >>one of The >>things that's clear in this trend is technology, and people work together and technology augments the people components. So I'd love to get your thoughts as we look at the world now we're living in co vid um, Cal Poly. You guys have remote learning Right now. It's a infancy. It's a whole new disruption, if you will, but also an opportunity to enable new ways to collaborate, Right? So if you look at people and technology, can you guys share your view and vision on how communities can be developed? How these digital technologies and people can work together faster to get to the truth or make a discovery higher to build the workforce? These air opportunities? How do you guys view this new digital transformation? >>Well, I think there's there's a huge opportunities and just what we're doing with this symposium. We're filming this on one day, and it's going to stream live, and then the three of us, the four of us, can participate and chat with participants while it's going on. That's amazing. And I appreciate you, John, you bringing that to this this symposium, I think there's more and more that we can do from a Cal poly perspective with our pedagogy. So you know, linked to learn by doing in person will always be important to us. But we see virtual. We see partnerships like this can expand and enhance our ability and minimize the in person time, decrease the time to degree enhanced graduation rate, eliminate opportunity gaps or students that don't have the same advantages. S so I think the technological aspect of this is tremendous. Then on the up Skilling and Re Skilling, where employees air all over, they can be reached virtually then maybe they come to a location or really advanced technology allows them to get hands on virtually, or they come to that location and get it in a hybrid format. Eso I'm I'm very excited about the future and what we can do, and it's gonna be different with every university with every partnership. It's one. Size does not fit all. >>It's so many possibilities. Bond. I could almost imagine a social network that has a verified, you know, secure clearance. I can jump in, have a little cloak of secrecy and collaborate with the d o. D. Possibly in the future. But >>these are the >>kind of kind of crazy ideas that are needed. Are your thoughts on this whole digital transformation cross policy? >>I think technology is gonna be revolutionary here, John. You know, we're focusing lately on what we call digital engineering to quicken the pace off, delivering capability to warfighter. As an example, I think a I machine language all that's gonna have a major play and how we operate in the future. We're embracing five G technologies writing ability Thio zero latency or I o t More automation off the supply chain. That sort of thing, I think, uh, the future ahead of us is is very encouraging. Thing is gonna do a lot for for national defense on certainly the security of the country. >>Steve, your final thoughts. Space systems are systems, and they're connected to other systems that are connected to people. Your thoughts on this digital transformation opportunity >>Such a great question in such a fun, great challenge ahead of us. Um echoing are my colleague's sentiments. I would add to it. You know, a lot of this has I think we should do some focusing on campaigning so that people can feel comfortable to include the Congress to do things a little bit differently. Um, you know, we're not attuned to doing things fast. Uh, but the dramatic You know, the way technology is just going like crazy right now. I think it ties back Thio hoping Thio, convince some of our senior leaders on what I call both sides of the Potomac River that it's worth taking these gamble. We do need to take some of these things very way. And I'm very confident, confident and excited and comfortable. They're just gonna be a great time ahead and all for the better. >>You know, e talk about D. C. Because I'm not a lawyer, and I'm not a political person, but I always say less lawyers, more techies in Congress and Senate. So I was getting job when I say that. Sorry. Presidential. Go ahead. >>Yeah, I know. Just one other point. Uh, and and Steve's alluded to this in bonded as well. I mean, we've got to be less risk averse in these partnerships. That doesn't mean reckless, but we have to be less risk averse. And I would also I have a zoo. You talk about technology. I have to reflect on something that happened in, uh, you both talked a bit about Bill Britton and his impact on Cal Poly and what we're doing. But we were faced a few years ago of replacing a traditional data a data warehouse, data storage data center, and we partner with a W S. And thank goodness we had that in progress on it enhanced our bandwidth on our campus before Cove. It hit on with this partnership with the digital transformation hub. So there is a great example where, uh, we we had that going. That's not something we could have started. Oh, covitz hit. Let's flip that switch. And so we have to be proactive on. We also have thio not be risk averse and do some things differently. Eyes that that is really salvage the experience for for students. Right now, as things are flowing, well, we only have about 12% of our courses in person. Uh, those essential courses, uh, and just grateful for those partnerships that have talked about today. >>Yeah, and it's a shining example of how being agile, continuous operations, these air themes that expand into space and the next workforce needs to be built. Gentlemen, thank you. very much for sharing your insights. I know. Bang, You're gonna go into the defense side of space and your other sessions. Thank you, gentlemen, for your time for great session. Appreciate it. >>Thank you. Thank you. >>Thank you. >>Thank you. Thank you. Thank you all. >>I'm John Furry with the Cube here in Palo Alto, California Covering and hosting with Cal Poly The Space and Cybersecurity Symposium 2020. Thanks for watching.

Published Date : Oct 1 2020

SUMMARY :

It's the Cube space and cybersecurity. We have Jeff Armstrong's the president of California Polytechnic in space, Jeff will start with you. We know that the best work is done by balanced teams that include multiple and diverse perspectives. speaking to bang, we learned that Rachel sins, one of our liberal arts arts majors, on the forefront of innovation and really taking a unique progressive. of the National Security Space Association, to discuss a very important topic of Thank you so much bomb for those comments and you know, new challenges and new opportunities and new possibilities of the space community, we thank you for your long life long devotion to service to the drone coming over in the crime scene and, you know, mapping it out for you. Yeah, I really appreciate that And appreciate the comments of my colleagues on clock now on terms of the innovation cycles, and so you got to react differently. Because the workforce that air in schools and our folks re So the pipeline needs to be strengthened But it does have the same challenges. Steve, go ahead. the aspect That's a Professor Armstrong talked about earlier toe where you continue to work Once the students get to a place like Cal Poly or some of our other amazing Uh, and that continued partnership is the script has been flipped. How people the progressions of knowledge and learning truth. that is needed, what we've been working on for years of the, you know, Thio the modern version of what a public, successful private partnership looks like. This is the fault, if you will and not rely heavily in are the usual suspects for example, is the thing we call clear for success getting back Thio Uh, that and and love to follow up offline with you on that. You know the programs you get you particularly through We need to support a lot of programs we have in the U. D. So somehow we have to do a better idea, or just a kind of stoked the ideation out their internship. in the manner that you were talking about. And we've seen on the commercial side with cloud computing on these highly accelerated environments where you know, So I'd love to get your thoughts as we look at the world now we're living in co vid um, decrease the time to degree enhanced graduation rate, eliminate opportunity you know, secure clearance. kind of kind of crazy ideas that are needed. certainly the security of the country. and they're connected to other systems that are connected to people. that people can feel comfortable to include the Congress to do things a little bit differently. So I Eyes that that is really salvage the experience for Bang, You're gonna go into the defense side of Thank you. Thank you all. I'm John Furry with the Cube here in Palo Alto, California Covering and hosting with Cal

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
ChuckPERSON

0.99+

StevePERSON

0.99+

Steve JakesPERSON

0.99+

JohnPERSON

0.99+

JoePERSON

0.99+

Steve JakePERSON

0.99+

RachelPERSON

0.99+

Cal PolyORGANIZATION

0.99+

National Security Space AssociationORGANIZATION

0.99+

Jeff ArmstrongPERSON

0.99+

Northrop GrummanORGANIZATION

0.99+

PGORGANIZATION

0.99+

Chris HansenPERSON

0.99+

CaliforniaLOCATION

0.99+

AWSORGANIZATION

0.99+

JeffPERSON

0.99+

JanePERSON

0.99+

National Security Space AssociationORGANIZATION

0.99+

Jeff BezosPERSON

0.99+

Chuck BeansPERSON

0.99+

California National GuardORGANIZATION

0.99+

New York CityLOCATION

0.99+

BoeingORGANIZATION

0.99+

National Security Space AssociationORGANIZATION

0.99+

Cal PolyORGANIZATION

0.99+

BondPERSON

0.99+

United States Space ForceORGANIZATION

0.99+

2013DATE

0.99+

SingaporeLOCATION

0.99+

94%QUANTITY

0.99+

TrumpPERSON

0.99+

Richard BransonPERSON

0.99+

California Cybersecurity InstituteORGANIZATION

0.99+

United States Space CommandORGANIZATION

0.99+

JuneDATE

0.99+

ThioPERSON

0.99+

oneQUANTITY

0.99+

CongressORGANIZATION

0.99+

ArmstrongPERSON

0.99+

hundredsQUANTITY

0.99+

United StatesLOCATION

0.99+

N S. AORGANIZATION

0.99+

fourQUANTITY

0.99+

Cal polyORGANIZATION

0.99+

threeQUANTITY

0.99+

Elon MuskPERSON

0.99+

York Space SystemsORGANIZATION

0.99+

National Centers of Academic Excellence in CyberORGANIZATION

0.99+

BezosPERSON

0.99+

Purdue UniversityORGANIZATION

0.99+

OneQUANTITY

0.99+

Armstrong and Guhamad and Jacques V1


 

>> Announcer: From around the globe, it's The Cube, covering Space and Cybersecurity Symposium 2020, hosted by Cal Poly. >> Everyone, welcome to this special virtual conference, the Space and Cybersecurity Symposium 2020 put on by Cal Poly with support from The Cube. I'm John Furey, your host and master of ceremony's got a great topic today, and this session is really the intersection of space and cybersecurity. This topic, and this conversation is a cybersecurity workforce development through public and private partnerships. And we've got a great lineup, we've Jeff Armstrong is the president of California Polytechnic State University, also known as Cal Poly. Jeffrey, thanks for jumping on and Bong Gumahad. The second, Director of C4ISR Division, and he's joining us from the Office of the Under Secretary of Defense for the acquisition and sustainment of Department of Defense, DOD, and of course Steve Jacques is Executive Director, founder National Security Space Association, and managing partner at Velos. Gentlemen, thank you for joining me for this session, we've got an hour of conversation, thanks for coming on. >> Thank you. >> So we've got a virtual event here, we've got an hour to have a great conversation, I'd love for you guys to do an opening statement on how you see the development through public and private partnerships around cybersecurity and space, Jeff, we'll start with you. >> Well, thanks very much, John, it's great to be on with all of you. On behalf of Cal Poly, welcome everyone. Educating the workforce of tomorrow is our mission at Cal Poly, whether that means traditional undergraduates, masters students, or increasingly, mid-career professionals looking to upskill or re-skill. Our signature pedagogy is learn by doing, which means that our graduates arrive at employers, ready day one with practical skills and experience. We have long thought of ourselves as lucky to be on California's beautiful central coast, but in recent years, as we've developed closer relationships with Vandenberg Air Force Base, hopefully the future permanent headquarters of the United States Space Command with Vandenberg and other regional partners, We have discovered that our location is even more advantageous than we thought. We're just 50 miles away from Vandenberg, a little closer than UC Santa Barbara and the base represents the Southern border of what we have come to think of as the central coast region. Cal Poly and Vandenberg Air Force Base have partnered to support regional economic development, to encourage the development of a commercial space port, to advocate for the space command headquarters coming to Vandenberg and other ventures. These partnerships have been possible because both parties stand to benefit. Vandenberg, by securing new streams of revenue, workforce, and local supply chain and Cal Poly by helping to grow local jobs for graduates, internship opportunities for students and research and entrepreneurship opportunities for faculty and staff. Crucially, what's good for Vandenberg Air Force Base and for Cal Poly is also good for the central coast and the U.S., creating new head of household jobs, infrastructure, and opportunity. Our goal is that these new jobs bring more diversity and sustainability for the region. This regional economic development has taken on a life of its own, spawning a new nonprofit called REACH which coordinates development efforts from Vandenberg Air Force Base in the South to Camp Roberts in the North. Another factor that has facilitated our relationship with Vandenberg Air Force Base is that we have some of the same friends. For example, Northrop Grumman has as long been an important defense contractor and an important partner to Cal Poly, funding scholarships in facilities that have allowed us to stay current with technology in it to attract highly qualified students for whom Cal Poly's costs would otherwise be prohibitive. For almost 20 years, Northrop Grumman has funded scholarships for Cal Poly students. This year, they're funding 64 scholarships, some directly in our College of Engineering and most through our Cal Poly Scholars Program. Cal Poly scholars support both incoming freshmen and transfer students. These are especially important, 'cause it allows us to provide additional support and opportunities to a group of students who are mostly first generation, low income and underrepresented, and who otherwise might not choose to attend Cal Poly. They also allow us to recruit from partner high schools with large populations of underrepresented minority students, including the Fortune High School in Elk Grove, which we developed a deep and lasting connection. We know that the best work is done by balanced teams that include multiple and diverse perspectives. These scholarships help us achieve that goal and I'm sure you know Northrop Grumman was recently awarded a very large contract to modernize the U.S. ICBM armory with some of the work being done at Vandenberg Air Force Base, thus supporting the local economy and protecting... Protecting our efforts in space requires partnerships in the digital realm. Cal Poly has partnered with many private companies such as AWS. Our partnerships with Amazon Web Services has enabled us to train our students with next generation cloud engineering skills, in part, through our jointly created digital transformation hub. Another partnership example is among Cal Poly's California Cyber Security Institute College of Engineering and the California National Guard. This partnership is focused on preparing a cyber-ready workforce, by providing faculty and students with a hands on research and learning environment side by side with military law enforcement professionals and cyber experts. We also have a long standing partnership with PG&E most recently focused on workforce development and redevelopment. Many of our graduates do indeed go on to careers in aerospace and defense industry. As a rough approximation, more than 4,500 Cal Poly graduates list aerospace or defense as their employment sector on LinkedIn. And it's not just our engineers in computer sciences. When I was speaking to our fellow panelists not too long ago, speaking to Bong, we learned that Rachel Sims, one of our liberal arts majors is working in his office, so shout out to you, Rachel. And then finally, of course, some of our graduates soar to extraordinary heights, such as Commander Victor Glover, who will be heading to the International Space Station later this year. As I close, all of which is to say that we're deeply committed to workforce development and redevelopment, that we understand the value of public-private partnerships, and that we're eager to find new ways in which to benefit everyone from this further cooperation. So we're committed to the region, the state and the nation, in our past efforts in space, cyber security and links to our partners at, as I indicated, aerospace industry and governmental partners provides a unique position for us to move forward in the interface of space and cyber security. Thank you so much, John. >> President Armstrong, thank you very much for the comments and congratulations to Cal Poly for being on the forefront of innovation and really taking a unique, progressive view and want to tip a hat to you guys over there, thank you very much for those comments, appreciate it. Bong, Department of Defense. Exciting, you've got to defend the nation, space is global, your opening statement. >> Yes, sir, thanks John, appreciate that. Thank you everybody, I'm honored to be in this panel along with Preston Armstrong of Cal Poly and my longtime friend and colleague Steve Jacques of the National Security Space Association to discuss a very important topic of a cybersecurity workforce development as President Armstrong alluded to. I'll tell you, both of these organizations, Cal Poly and the NSSA have done and continue to do an exceptional job at finding talent, recruiting them and training current and future leaders and technical professionals that we vitally need for our nation's growing space programs, as well as our collective national security. Earlier today, during session three, I, along with my colleague, Chris Samson discussed space cyber security and how the space domain is changing the landscape of future conflicts. I discussed the rapid emergence of commercial space with the proliferation of hundreds, if not thousands of satellites, providing a variety of services including communications, allowing for global internet connectivity, as one example. Within DOD, we continued to look at how we can leverage this opportunity. I'll tell you, one of the enabling technologies, is the use of small satellites, which are inherently cheaper and perhaps more flexible than the traditional bigger systems that we have historically used and employed for DOD. Certainly not lost on me is the fact that Cal Poly pioneered CubeSats 28, 27 years ago, and they set a standard for the use of these systems today. So they saw the value and benefit gained way ahead of everybody else it seems. And Cal Poly's focus on training and education is commendable. I'm especially impressed by the efforts of another of Steven's colleague, the current CIO, Mr. Bill Britton, with his high energy push to attract the next generation of innovators. Earlier this year, I had planned on participating in this year's cyber innovation challenge in June, Oops, Cal Poly hosts California middle, and high school students, and challenge them with situations to test their cyber knowledge. I tell you, I wish I had that kind of opportunity when I was a kid, unfortunately, the pandemic changed the plan, but I truly look forward to future events such as these, to participate in. Now, I want to recognize my good friend, Steve Jacques, whom I've known for perhaps too long of a time here, over two decades or so, who was an acknowledged space expert and personally I've truly applaud him for having the foresight a few years back to form the National Security Space Association to help the entire space enterprise navigate through not only technology, but policy issues and challenges and paved the way for operationalizing space. Space, it certainly was fortifying domain, it's not a secret anymore, and while it is a unique area, it shares a lot of common traits with the other domains, such as land, air, and sea, obviously all are strategically important to the defense of the United States. In conflict, they will all be contested and therefore they all need to be defended. One domain alone will not win future conflicts, and in a joint operation, we must succeed in all. So defending space is critical, as critical as to defending our other operational domains. Funny, space is the only sanctuary available only to the government. Increasingly as I discussed in a previous session, commercial space is taking the lead in a lot of different areas, including R&D, the so-called new space. So cybersecurity threat is even more demanding and even more challenging. The U.S. considers and futhered access to and freedom to operate in space, vital to advancing security, economic prosperity and scientific knowledge of the country, thus making cyberspace an inseparable component of America's financial, social government and political life. We stood up US Space Force a year ago or so as the newest military service. Like the other services, its mission is to organize, train and equip space forces in order to protect U.S. and allied interest in space and to provide spacecape builders who joined force. Imagine combining that U.S. Space Force with the U.S. Cyber Command to unify the direction of the space and cyberspace operation, strengthen DOD capabilities and integrate and bolster a DOD cyber experience. Now, of course, to enable all of this requires a trained and professional cadre of cyber security experts, combining a good mix of policy, as well as a high technical skill set. Much like we're seeing in STEM, we need to attract more people to this growing field. Now, the DOD has recognized the importance to the cybersecurity workforce, and we have implemented policies to encourage its growth. Back in 2013, the Deputy Secretary of Defense signed a DOD Cyberspace Workforce Strategy, to create a comprehensive, well-equipped cyber security team to respond to national security concerns. Now, this strategy also created a program that encourages collaboration between the DOD and private sector employees. We call this the Cyber Information Technology Exchange program, or CITE that it's an exchange program, which is very interesting in which a private sector employee can naturally work for the DOD in a cyber security position that spans across multiple mission critical areas, important to the DOD. A key responsibility of the cyber security community is military leaders, unrelated threats, and the cyber security actions we need to have to defeat these threats. We talked about rapid acquisition, agile business processes and practices to speed up innovation, likewise, cyber security must keep up with this challenge. So cyber security needs to be right there with the challenges and changes, and this requires exceptional personnel. We need to attract talent, invest in the people now to grow a robust cybersecurity workforce for the future. I look forward to the panel discussion, John, thank you. >> Thank you so much, Bob for those comments and, you know, new challenges or new opportunities and new possibilities and freedom to operate in space is critical, thank you for those comments, looking forward to chatting further. Steve Jacques, Executive Director of NSSA, you're up, opening statement. >> Thank you, John and echoing Bongs, thanks to Cal Poly for pulling this important event together and frankly, for allowing the National Security Space Association be a part of it. Likewise, on behalf of the association, I'm delighted and honored to be on this panel of President Armstrong, along with my friend and colleague, Bong Gumahad. Something for you all to know about Bong, he spent the first 20 years of his career in the Air Force doing space programs. He then went into industry for several years and then came back into government to serve, very few people do that. So Bong, on behalf of the space community, we thank you for your lifelong devotion to service to our nation, we really appreciate that. And I also echo a Bong shout out to that guy, Bill Britton. who's been a long time co-conspirator of ours for a long time, and you're doing great work there in the cyber program at Cal Poly, Bill, keep it up. But Professor Armstrong, keep a close eye on him. (laughter) I would like to offer a little extra context to the great comments made by President Armstrong and Bong. And in our view, the timing of this conference really could not be any better. We all recently reflected again on that tragic 9/11 surprise attack on our homeland and it's an appropriate time we think to take pause. While a percentage of you in the audience here weren't even born or were babies then, for the most of us, it still feels like yesterday. And moreover, a tragedy like 9/11 has taught us a lot to include, to be more vigilant, always keep our collective eyes and ears open, to include those "eyes and ears from space," making sure nothing like this ever happens again. So this conference is a key aspect, protecting our nation requires we work in a cyber secure environment at all times. But you know, the fascinating thing about space systems is we can't see 'em. Now sure, we see space launches, man, there's nothing more invigorating than that. But after launch they become invisible, so what are they really doing up there? What are they doing to enable our quality of life in the United States and in the world? Well to illustrate, I'd like to paraphrase elements of an article in Forbes magazine, by Bongs and my good friend, Chuck Beames, Chuck is a space guy, actually had Bongs job a few years in the Pentagon. He's now Chairman and Chief Strategy Officer at York Space Systems and in his spare time, he's Chairman of the Small Satellites. Chuck speaks in words that everyone can understand, so I'd like to give you some of his words out of his article, paraphrase somewhat, so these are Chuck's words. "Let's talk about average Joe and plain Jane. "Before heading to the airport for a business trip "to New York city, Joe checks the weather forecast, "informed by NOAA's weather satellites, "to see what to pack for the trip. "He then calls an Uber, that space app everybody uses, "it matches riders with drivers via GPS, "to take him to the airport. "So Joe has launched in the airport, "unbeknownst to him, his organic lunch is made "with the help of precision farming "made possible to optimize the irrigation and fertilization "with remote spectral sensing coming from space and GPS. "On the plane, the pilot navigates around weather, "aided by GPS and NOAA's weather satellites "and Joe makes his meeting on time "to join his New York colleagues in a video call "with a key customer in Singapore, "made possible by telecommunication satellites. "En route to his next meeting, "Joe receives notice changing the location of the meeting "to the other side of town. "So he calmly tells Siri to adjust the destination "and his satellite-guided Google maps redirect him "to the new location. "That evening, Joe watches the news broadcast via satellite, "report details of meeting among world leaders, "discussing the developing crisis in Syria. "As it turns out various forms of "'remotely sensed information' collected from satellites "indicate that yet another banned chemical weapon "may have been used on its own people. "Before going to bed, Joe decides to call his parents "and congratulate them for their wedding anniversary "as they cruise across the Atlantic, "made possible again by communication satellites "and Joe's parents can enjoy the call "without even wondering how it happened. "The next morning back home, "Joe's wife, Jane is involved in a car accident. "Her vehicle skids off the road, she's knocked unconscious, "but because of her satellite equipped OnStar system, "the crash is detected immediately, "and first responders show up on the scene in time. "Joe receives the news, books an early trip home, "sends flowers to his wife "as he orders another Uber to the airport. "Over that 24 hours, "Joe and Jane used space system applications "for nearly every part of their day. "Imagine the consequences if at any point "they were somehow denied these services, "whether they be by natural causes or a foreign hostility. "In each of these satellite applications used in this case, "were initially developed for military purposes "and continued to be, but also have remarkable application "on our way of life, just many people just don't know that." So ladies and gentlemen, now you know, thanks to Chuck Beames. Well, the United States has a proud heritage of being the world's leading space-faring nation. Dating back to the Eisenhower and Kennedy years, today, we have mature and robust systems operating from space, providing overhead reconnaissance to "watch and listen," provide missile warning, communications, positioning, navigation, and timing from our GPS system, much of which you heard in Lieutenant General JT Thomson's earlier speech. These systems are not only integral to our national security, but also to our quality of life. As Chuck told us, we simply no longer can live without these systems as a nation and for that matter, as a world. But over the years, adversaries like China, Russia and other countries have come to realize the value of space systems and are aggressively playing catch up while also pursuing capabilities that will challenge our systems. As many of you know, in 2007, China demonstrated its ASAT system by actually shooting down one of its own satellites and has been aggressively developing counterspace systems to disrupt ours. So in a heavily congested space environment, our systems are now being contested like never before and will continue to be. Well, as a Bong mentioned, the United States have responded to these changing threats. In addition to adding ways to protect our system, the administration and the Congress recently created the United States Space Force and the operational United States Space Command, the latter of which you heard President Armstrong and other Californians hope is going to be located at Vandenberg Air Force Base. Combined with our intelligence community, today we have focused military and civilian leadership now in space, and that's a very, very good thing. Commensurately on the industry side, we did create the National Security Space Association, devoted solely to supporting the National Security Space Enterprise. We're based here in the DC area, but we have arms and legs across the country and we are loaded with extraordinary talent in scores of former government executives. So NSSA is joined at the hip with our government customers to serve and to support. We're busy with a multitude of activities underway, ranging from a number of thought-provoking policy papers, our recurring spacetime webcasts, supporting Congress's space power caucus, and other main serious efforts. Check us out at nssaspace.org. One of our strategic priorities and central to today's events is to actively promote and nurture the workforce development, just like Cal-Poly. We will work with our U.S. government customers, industry leaders, and academia to attract and recruit students to join the space world, whether in government or industry, and to assist in mentoring and training as their careers progress. On that point, we're delighted to be working with Cal Poly as we hopefully will undertake a new pilot program with them very soon. So students stay tuned, something I can tell you, space is really cool. While our nation's satellite systems are technical and complex, our nation's government and industry workforce is highly diverse, with a combination of engineers, physicists and mathematicians, but also with a large non-technical expertise as well. Think about how government gets these systems designed, manufactured, launching into orbit and operating. They do this via contracts with our aerospace industry, requiring talents across the board, from cost estimating, cost analysis, budgeting, procurement, legal, and many other support tasks that are integral to the mission. Many thousands of people work in the space workforce, tens of billions of dollars every year. This is really cool stuff and no matter what your education background, a great career to be part of. In summary, as Bong had mentioned as well, there's a great deal of exciting challenges ahead. We will see a new renaissance in space in the years ahead and in some cases it's already begun. Billionaires like Jeff Bezos, Elon Musk, Sir Richard Branson, are in the game, stimulating new ideas and business models. Other private investors and startup companies, space companies are now coming in from all angles. The exponential advancement of technology and micro electronics now allows a potential for a plethora of small sat systems to possibly replace older satellites, the size of a Greyhound bus. It's getting better by the day and central to this conference, cybersecurity is paramount to our nation's critical infrastructure in space. So once again, thanks very much and I look forward to the further conversation. >> Steve, thank you very much. Space is cool, it's relevant, but it's important as you pointed out in your awesome story about how it impacts our life every day so I really appreciate that great story I'm glad you took the time to share that. You forgot the part about the drone coming over in the crime scene and, you know, mapping it out for you, but we'll add that to the story later, great stuff. My first question is, let's get into the conversations, because I think this is super important. President Armstrong, I'd like you to talk about some of the points that was teased out by Bong and Steve. One in particular is the comment around how military research was important in developing all these capabilities, which is impacting all of our lives through that story. It was the military research that has enabled a generation and generation of value for consumers. This is kind of this workforce conversation, there are opportunities now with research and grants, and this is a funding of innovation that is highly accelerated, it's happening very quickly. Can you comment on how research and the partnerships to get that funding into the universities is critical? >> Yeah, I really appreciate that and appreciate the comments of my colleagues. And it really boils down to me to partnerships, public-private partnerships, you have mentioned Northrop Grumman, but we have partnerships with Lockheed Martin, Boeing, Raytheon, Space X, JPL, also member of an organization called Business Higher Education Forum, which brings together university presidents and CEOs of companies. There's been focused on cybersecurity and data science and I hope that we can spill into cybersecurity and space. But those partnerships in the past have really brought a lot forward. At Cal Poly, as mentioned, we've been involved with CubeSat, we've have some secure work, and we want to plan to do more of that in the future. Those partnerships are essential, not only for getting the R&D done, but also the students, the faculty, whether they're master's or undergraduate can be involved with that work, they get that real life experience, whether it's on campus or virtually now during COVID or at the location with the partner, whether it may be governmental or industry, and then they're even better equipped to hit the ground running. And of course we'd love to see more of our students graduate with clearance so that they could do some of that secure work as well. So these partnerships are absolutely critical and it's also in the context of trying to bring the best and the brightest in all demographics of California and the U.S. into this field, to really be successful. So these partnerships are essential and our goal is to grow them just like I know our other colleagues in the CSU and the UC are planning to do. >> You know, just as my age I've seen, I grew up in the eighties and in college and they're in that system's generation and the generation before me, they really kind of pioneered the space that spawned the computer revolution. I mean, you look at these key inflection points in our lives, they were really funded through these kinds of real deep research. Bong, talk about that because, you know, we're living in an age of cloud and Bezos was mentioned, Elon Musk, Sir Richard Branson, you got new ideas coming in from the outside, you have an accelerated clock now in terms of the innovation cycles and so you got to react differently, you guys have programs to go outside of the defense department, how important is this because the workforce that are in schools and/or folks re-skilling are out there and you've been on both sides of the table, so share your thoughts. >> No, thanks Johnny, thanks for the opportunity to respond to, and that's what, you know, you hit on the nose back in the 80's, R&D and space especially was dominated by government funding, contracts and so on, but things have changed as Steve pointed out, allow these commercial entities funded by billionaires are coming out of the woodwork, funding R&D so they're taking the lead, so what we can do within the DOD in government is truly take advantage of the work they've done. And since they're, you know, paving the way to new approaches and new way of doing things and I think we can certainly learn from that and leverage off of that, saves us money from an R&D standpoint, while benefiting from the product that they deliver. You know, within DOD, talking about workforce development, you know, we have prioritized and we have policies now to attract and retain the talent we need. I had the folks do some research and it looks like from a cybersecurity or workforce standpoint, a recent study done, I think last year in 2019, found that the cyber security workforce gap in U.S. is nearing half a million people, even though it is a growing industry. So the pipeline needs to be strengthened, getting people through, you know, starting young and through college, like Professor Armstrong indicated because we're going to need them to be in place, you know, in a period of about maybe a decade or so. On top of that, of course, is the continuing issue we have with the gap with STEM students. We can't afford not have expertise in place to support all the things we're doing within DoD, not only DoD but the commercial side as well, thank you. >> How's the gap get filled, I mean, this is, again, you've got cybersecurity, I mean, with space it's a whole other kind of surface area if you will, it's not really surface area, but it is an IOT device if you think about it, but it does have the same challenges, that's kind of current and progressive with cybersecurity. Where's the gap get filled, Steve or President Armstrong, I mean, how do you solve the problem and address this gap in the workforce? What are some solutions and what approaches do we need to put in place? >> Steve, go ahead., I'll follow up. >> Okay, thanks, I'll let you correct me. (laughter) It's a really good question, and the way I would approach it is to focus on it holistically and to acknowledge it upfront and it comes with our teaching, et cetera, across the board. And from an industry perspective, I mean, we see it, we've got to have secure systems in everything we do, and promoting this and getting students at early ages and mentoring them and throwing internships at them is so paramount to the whole cycle. And that's kind of, it really takes a focused attention and we continue to use the word focus from an NSSA perspective. We know the challenges that are out there. There are such talented people in the workforce, on the government side, but not nearly enough of them and likewise on the industry side, we could use more as well, but when you get down to it, you know, we can connect dots, you know, the aspects that Professor Armstrong talked about earlier to where you continue to work partnerships as much as you possibly can. We hope to be a part of that network, that ecosystem if you will, of taking common objectives and working together to kind of make these things happen and to bring the power, not just of one or two companies, but of our entire membership thereabout. >> President Armstrong-- >> Yeah, I would also add it again, it's back to the partnerships that I talked about earlier, one of our partners is high schools and schools Fortune, Margaret Fortune, who worked in a couple of administrations in California across party lines and education, their fifth graders all visit Cal Poly, and visit our learned-by-doing lab. And you've got to get students interested in STEM at an early age. We also need the partnerships, the scholarships, the financial aid, so the students can graduate with minimal to no debt to really hit the ground running and that's exacerbated and really stress now with this COVID induced recession. California supports higher education at a higher rate than most states in the nation, but that has brought this year for reasons all understand due to COVID. And so our partnerships, our creativity, and making sure that we help those that need the most help financially, that's really key because the gaps are huge. As my colleagues indicated, you know, half a million jobs and I need you to look at the students that are in the pipeline, we've got to enhance that. And the placement rates are amazing once the students get to a place like Cal Poly or some of our other amazing CSU and UC campuses, placement rates are like 94%. Many of our engineers, they have jobs lined up a year before they graduate. So it's just going to take a key partnerships working together and that continued partnership with government local, of course, our state, the CSU, and partners like we have here today, both Steve and Bong so partnerships is the thing. >> You know, that's a great point-- >> I could add, >> Okay go ahead. >> All right, you know, the collaboration with universities is one that we put on lot of emphasis here, and it may not be well known fact, but just an example of national security, the AUC is a national centers of academic excellence in cyber defense works with over 270 colleges and universities across the United States to educate and certify future cyber first responders as an example. So that's vibrant and healthy and something that we ought to take advantage of. >> Well, I got the brain trust here on this topic. I want to get your thoughts on this one point, 'cause I'd like to define, you know, what is a public-private partnership because the theme that's coming out of the symposium is the script has been flipped, it's a modern era, things are accelerated, you've got security, so you've got all of these things kind of happenning it's a modern approach and you're seeing a digital transformation play out all over the world in business and in the public sector. So what is a modern public-private partnership and what does it look like today because people are learning differently. COVID has pointed out, which is that we're seeing right now, how people, the progressions of knowledge and learning, truth, it's all changing. How do you guys view the modern version of public-private partnership and some examples and some proof points, can you guys share that? We'll start with you, Professor Armstrong. >> Yeah, as I indicated earlier, we've had, and I could give other examples, but Northrop Grumman, they helped us with a cyber lab many years ago that is maintained directly, the software, the connection outside it's its own unit so the students can learn to hack, they can learn to penetrate defenses and I know that that has already had some considerations of space, but that's a benefit to both parties. So a good public-private partnership has benefits to both entities and the common factor for universities with a lot of these partnerships is the talent. The talent that is needed, what we've been working on for years of, you know, the undergraduate or master's or PhD programs, but now it's also spilling into upskilling and reskilling, as jobs, you know, folks who are in jobs today that didn't exist two years, three years, five years ago, but it also spills into other aspects that can expand even more. We're very fortunate we have land, there's opportunities, we have ONE Tech project. We are expanding our tech park, I think we'll see opportunities for that and it'll be adjusted due to the virtual world that we're all learning more and more about it, which we were in before COVID. But I also think that that person to person is going to be important, I want to make sure that I'm driving across a bridge or that satellite's being launched by the engineer that's had at least some in person training to do that in that experience, especially as a first time freshman coming on campus, getting that experience, expanding it as an adult, and we're going to need those public-private partnerships in order to continue to fund those at a level that is at the excellence we need for these STEM and engineering fields. >> It's interesting people and technology can work together and these partnerships are the new way. Bongs too with reaction to the modern version of what a public successful private partnership looks like. >> If I could jump in John, I think, you know, historically DOD's had a high bar to overcome if you will, in terms of getting rapid... pulling in new companies, miss the fall if you will, and not rely heavily on the usual suspects, of vendors and the like, and I think the DOD has done a good job over the last couple of years of trying to reduce that burden and working with us, you know, the Air Force, I think they're pioneering this idea around pitch days, where companies come in, do a two-hour pitch and immediately notified of, you know, of an a award, without having to wait a long time to get feedback on the quality of the product and so on. So I think we're trying to do our best to strengthen that partnership with companies outside of the main group of people that we typically use. >> Steve, any reaction, any comment to add? >> Yeah, I would add a couple and these are very excellent thoughts. It's about taking a little gamble by coming out of your comfort zone, you know, the world that Bong and I, Bong lives in and I used to live in the past, has been quite structured. It's really about, we know what the threat is, we need to go fix it, we'll design as if as we go make it happen, we'll fly it. Life is so much more complicated than that and so it's really, to me, I mean, you take an example of the pitch days of Bong talks about, I think taking a gamble by attempting to just do a lot of pilot programs, work the trust factor between government folks and the industry folks and academia, because we are all in this together in a lot of ways. For example, I mean, we just sent a paper to the white house at their request about, you know, what would we do from a workforce development perspective and we hope to embellish on this over time once the initiative matures, but we have a piece of it for example, is a thing we call "clear for success," getting back to president Armstrong's comments so at a collegiate level, you know, high, high, high quality folks are in high demand. So why don't we put together a program that grabs kids in their underclass years, identifies folks that are interested in doing something like this, get them scholarships, have a job waiting for them that they're contracted for before they graduate, and when they graduate, they walk with an SCI clearance. We believe that can be done, so that's an example of ways in which public-private partnerships can happen to where you now have a talented kid ready to go on day one. We think those kinds of things can happen, it just gets back down to being focused on specific initiatives, giving them a chance and run as many pilot programs as you can, like pitch days. >> That's a great point, it's a good segue. Go ahead, President Armstrong. >> I just want to jump in and echo both the Bong and Steve's comments, but Steve that, you know, your point of, you know our graduates, we consider them ready day one, well they need to be ready day one and ready to go secure. We totally support that and love to follow up offline with you on that. That's exciting and needed, very much needed more of it, some of it's happening, but we certainly have been thinking a lot about that and making some plans. >> And that's a great example, a good segue. My next question is kind of re-imagining these workflows is kind of breaking down the old way and bringing in kind of the new way, accelerate all kinds of new things. There are creative ways to address this workforce issue and this is the next topic, how can we employ new creative solutions because let's face it, you know, it's not the days of get your engineering degree and go interview for a job and then get slotted in and get the intern, you know, the programs and you'd matriculate through the system. This is multiple disciplines, cybersecurity points at that. You could be smart in math and have a degree in anthropology and be one of the best cyber talents on the planet. So this is a new, new world, what are some creative approaches that's going to work for you? >> Alright, good job, one of the things, I think that's a challenge to us is, you know, somehow we got me working for, with the government, sexy right? You know, part of the challenge we have is attracting the right level of skill sets and personnel but, you know, we're competing, oftentimes, with the commercial side, the gaming industry as examples is a big deal. And those are the same talents we need to support a lot of the programs that we have in DOD. So somehow we have do a better job to Steve's point about making the work within DOD, within the government, something that they would be interested early on. So attract them early, you know, I could not talk about Cal Poly's challenge program that they were going to have in June inviting high school kids really excited about the whole idea of space and cyber security and so on. Those are some of the things that I think we have to do and continue to do over the course of the next several years. >> Awesome, any other creative approaches that you guys see working or might be an idea, or just to kind of stoke the ideation out there? Internships, obviously internships are known, but like, there's got to be new ways. >> Alright, I think you can take what Steve was talking about earlier, getting students in high school and aligning them sometimes at first internship, not just between the freshman and sophomore year, but before they enter Cal Poly per se and they're involved. So I think that's absolutely key, getting them involved in many other ways. We have an example of upskilling or work redevelopment here in the central coast, PG&E Diablo nuclear plant that is going to decommission in around 2024. And so we have a ongoing partnership to work and reposition those employees for the future. So that's, you know, engineering and beyond but think about that just in the manner that you were talking about. So the upskilling and reskilling, and I think that's where, you know, we were talking about that Purdue University, other California universities have been dealing with online programs before COVID, and now with COVID so many more Faculty were pushed into that area, there's going to be a much more going and talk about workforce development in upskilling and reskilling, the amount of training and education of our faculty across the country in virtual and delivery has been huge. So there's always a silver linings in the cloud. >> I want to get your guys' thoughts on one final question as we end the segment, and we've seen on the commercial side with cloud computing on these highly accelerated environments where, you know, SAS business model subscription, and that's on the business side, but one of the things that's clear in this trend is technology and people work together and technology augments the people components. So I'd love to get your thoughts as we look at a world now, we're living in COVID, and Cal Poly, you guys have remote learning right now, it's at the infancy, it's a whole new disruption, if you will, but also an opportunity enable new ways to encollaborate, So if you look at people and technology, can you guys share your view and vision on how communities can be developed, how these digital technologies and people can work together faster to get to the truth or make a discovery, hire, develop the workforce, these are opportunities, how do you guys view this new digital transformation? >> Well, I think there's huge opportunities and just what we're doing with this symposium, we're filming this on Monday and it's going to stream live and then the three of us, the four of us can participate and chat with participants while it's going on. That's amazing and I appreciate you, John, you bringing that to this symposium. I think there's more and more that we can do. From a Cal Poly perspective, with our pedagogy so, you know, linked to learn by doing in-person will always be important to us, but we see virtual, we see partnerships like this, can expand and enhance our ability and minimize the in-person time, decrease the time to degree, enhance graduation rate, eliminate opportunity gaps for students that don't have the same advantages. So I think the technological aspect of this is tremendous. Then on the upskilling and reskilling, where employees are all over, they can re be reached virtually, and then maybe they come to a location or really advanced technology allows them to get hands on virtually, or they come to that location and get it in a hybrid format. So I'm very excited about the future and what we can do, and it's going to be different with every university, with every partnership. It's one size does not fit all, There's so many possibilities, Bong, I can almost imagine that social network that has a verified, you know, secure clearance. I can jump in, and have a little cloak of secrecy and collaborate with the DOD possibly in the future. But these are the kind of crazy ideas that are needed, your thoughts on this whole digital transformation cross-pollination. >> I think technology is going to be revolutionary here, John, you know, we're focusing lately on what we call visual engineering to quicken the pace of the delivery capability to warfighter as an example, I think AI, Machine Language, all that's going to have a major play in how we operate in the future. We're embracing 5G technologies, and the ability for zero latency, more IOT, more automation of the supply chain, that sort of thing, I think the future ahead of us is very encouraging, I think it's going to do a lot for national defense, and certainly the security of the country. >> Steve, your final thoughts, space systems are systems, and they're connected to other systems that are connected to people, your thoughts on this digital transformation opportunity. >> Such a great question and such a fun, great challenge ahead of us. Echoing my colleagues sentiments, I would add to it, you know, a lot of this has, I think we should do some focusing on campaigning so that people can feel comfortable to include the Congress to do things a little bit differently. You know, we're not attuned to doing things fast, but the dramatic, you know, the way technology is just going like crazy right now, I think it ties back to, hoping to convince some of our senior leaders and what I call both sides of the Potomac river, that it's worth taking this gamble, we do need to take some of these things you know, in a very proactive way. And I'm very confident and excited and comfortable that this is going to be a great time ahead and all for the better. >> You know, I always think of myself when I talk about DC 'cause I'm not a lawyer and I'm not a political person, but I always say less lawyers, more techies than in Congress and Senate, so (laughter)I always get in trouble when I say that. Sorry, President Armstrong, go ahead. >> Yeah, no, just one other point and Steve's alluded to this and Bong did as well, I mean, we've got to be less risk averse in these partnerships, that doesn't mean reckless, but we have to be less risk averse. And also, as you talk about technology, I have to reflect on something that happened and you both talked a bit about Bill Britton and his impact on Cal Poly and what we're doing. But we were faced a few years ago of replacing traditional data, a data warehouse, data storage, data center and we partnered with AWS and thank goodness, we had that in progress and it enhanced our bandwidth on our campus before COVID hit, and with this partnership with the digital transformation hub, so there's a great example where we had that going. That's not something we could have started, "Oh COVID hit, let's flip that switch." And so we have to be proactive and we also have to not be risk-averse and do some things differently. That has really salvaged the experience for our students right now, as things are flowing well. We only have about 12% of our courses in person, those essential courses and I'm just grateful for those partnerships that I have talked about today. >> And it's a shining example of how being agile, continuous operations, these are themes that expand the space and the next workforce needs to be built. Gentlemen, thank you very much for sharing your insights, I know Bong, you're going to go into the defense side of space in your other sessions. Thank you gentlemen, for your time, for a great session, I appreciate it. >> Thank you. >> Thank you gentlemen. >> Thank you. >> Thank you. >> Thank you, thank you all. I'm John Furey with The Cube here in Palo Alto, California covering and hosting with Cal Poly, the Space and Cybersecurity Symposium 2020, thanks for watching. (bright atmospheric music)

Published Date : Sep 18 2020

SUMMARY :

the globe, it's The Cube, and of course Steve Jacques on how you see the development and the California National Guard. to you guys over there, Cal Poly and the NSSA have and freedom to operate and nurture the workforce in the crime scene and, you and it's also in the context and the generation before me, So the pipeline needs to be strengthened, does have the same challenges, and likewise on the industry side, and I need you to look at the students and something that we in business and in the public sector. so the students can learn to hack, to the modern version miss the fall if you will, and the industry folks and academia, That's a great point, and echo both the Bong and bringing in kind of the new way, and continue to do over the course but like, there's got to be new ways. and I think that's where, you and that's on the business side, and it's going to be different and certainly the security of the country. and they're connected to other systems and all for the better. of myself when I talk about DC and Steve's alluded to and the next workforce needs to be built. the Space and Cybersecurity

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
StevePERSON

0.99+

ChuckPERSON

0.99+

JohnPERSON

0.99+

JoePERSON

0.99+

BobPERSON

0.99+

Chris SamsonPERSON

0.99+

NSSAORGANIZATION

0.99+

Jeff BezosPERSON

0.99+

Cal PolyORGANIZATION

0.99+

BoeingORGANIZATION

0.99+

Steve JacquesPERSON

0.99+

Bill BrittonPERSON

0.99+

AWSORGANIZATION

0.99+

RachelPERSON

0.99+

NOAAORGANIZATION

0.99+

Jeff ArmstrongPERSON

0.99+

Northrop GrummanORGANIZATION

0.99+

PG&EORGANIZATION

0.99+

2007DATE

0.99+

Chuck BeamesPERSON

0.99+

National Security Space AssociationORGANIZATION

0.99+

National Security Space EnterpriseORGANIZATION

0.99+

United States Space CommandORGANIZATION

0.99+

Department of DefenseORGANIZATION

0.99+

CaliforniaLOCATION

0.99+

Lockheed MartinORGANIZATION

0.99+

California National GuardORGANIZATION

0.99+

United States Space ForceORGANIZATION

0.99+

Amazon Web ServicesORGANIZATION

0.99+

Rachel SimsPERSON

0.99+

JPLORGANIZATION

0.99+

StevenPERSON

0.99+

JeffPERSON

0.99+

DODORGANIZATION

0.99+

oneQUANTITY

0.99+

Space XORGANIZATION

0.99+

JeffreyPERSON

0.99+

JanePERSON

0.99+

JohnnyPERSON

0.99+

John FureyPERSON

0.99+

Cal PolyORGANIZATION

0.99+

National Security Space AssociationORGANIZATION

0.99+

ArmstrongPERSON

0.99+

JuneDATE

0.99+

2013DATE

0.99+

SingaporeLOCATION

0.99+

United StatesLOCATION

0.99+

New YorkLOCATION

0.99+

U.S. Space ForceORGANIZATION

0.99+

BongPERSON

0.99+

Elon MuskPERSON

0.99+

SiriTITLE

0.99+

Sebastien de Halleux & Henry Sztul & Janet Kozyra | AWS re:Invent 2019


 

>>law from Las Vegas. It's the Q covering a ws re invent 2019. Brought to you by Amazon Web service is and in along with its ecosystem partners. >>Hey, welcome back. Everyone's two cubes. Live coverage I'm John for with the Cube were here reinvent date, too, as it winds down Walter Wall interviews two sets here. We want to think Intel, big sponsor of this, said we without Intel, we wouldn't have this great content. They support our mission at the Q. We really appreciate it. We're here and strengthen the signal the noise on our seventh reinvent of the eight years that they've been here. We've been documenting history, and we got a great panel lined up here. They got Sebastian to holler Who's the CEO? Sale Drone. Henry Stalls, Stool The VP of Science and Technology and Bowery Farming. Great use case around the food supply and Janet his era space weather scientists at NASA. The Kilo Physics division. We got a great lineup here. Great panel. Welcome to the Cube. Thanks for coming. Thank you. Okay. We'll start with you, Jen. And you're doing some super cool space exploration. You're looking at super storms in space. What's your story? >>Yeah, I work at NASA and NASA has in its mandate to understand how to protect life on Earth and in space from events like space, weather and other things. And I'm working with Amazon right now to understand how storms in space get amplified into super storms in space, which now people understand, can have major impacts on infrastructures head earth like power grits. >>So there's impact. >>There's a >>guy's measuring that, not like a supernova critical thing like >>that >>of, like, practical space. >>Actually, the idea that the perception of the world of the other risks of space weather changed dramatically in 1989 when Superstorm actually caused the collapse of a power grid in Canada and the currents flowing in the ground from the storm entered the power grid and it collapsed in 90 seconds. It couldn't even intervene. >>Wow, some serious issues. We want to get into the machine learning and how you guys are applying. But let's get through here, and we're doing some pretty cool stuff that's really important. Mission. Food supply and global food supply something that you're doing. What I think it might explain. >>Yeah, Bowery were growing food for a better future by revolutionizing agriculture. And to do that, we're building these ah network of large warehouse scale indoor farms where we go all sorts of produce indoors 365 days a year, using zero pesticides using hydroponic systems and led technology. So it's really exciting. And at the core of it is some technology we call the Bowery operating system, which is how we leverage software hardware in a I tow, operate and learn from our farm. >>I'm looking forward to digging into that Sebastian sale drone. You're doing some stuff you're sailing around the world. You got nice chance that you now tell your story. >>Sadly, no way. Use wind powered robots to study the 20% of the planet that's currently really data scarce. And that's the oceans on. So we measure things like biomass, which is how many fish down in the ocean. We measure the input of energy, which impacts weather and climate. We mapped the seabed on. We do all kinds of different tasks which are very, very expensive to do with few ships >>and to report now that climate change is on everyone's agenda, understanding potentially blind spots. Super important, right? >>That's what I'm trying to, You know, this whole question of if it's a question of what? When and what and how much. And so, you know, the ice is melting, the Gulf Stream is changing, and Nina is wrecking havoc. But we just do not understand this because we just don't have the data. In city, we use satellites where they have very low resolution. They cannot see through the water where you ships. No, has 16 ships he in the U. S. So we have to do better. We have to translate this into a big data problem. So that's what we're doing. We have 1000 sale drones on our plan with 100 water right now. And so we're trying to instrument old oceans all the time, >>you know, and data scales your friend because you don't want more data. Yes. Talk about what you're working on. What kind of a I in machine learning are you doing? You just gathering day. Then you're pumping it up to the cloud via satellites or what's going on there? >>One of the one of the use cases trying to understand you know who's out there. What are they doing? Another doing anything illegal. So to do this, you need to use cameras and look at the horizon and detect. You know whether you have vessels. And if those vessels are not transmitting the position, it means that they're trying to stay hidden on the ocean. And so we use machine learning and I that we train on on AWS to try to understand what where those things are. It's hard enough on land at sea. It's very hard because every pixel is moving. You have waves. The horizon is moving, the skies moving, the ship is moving. And so trying to solve this problem is a completely new thing that's called maritime domain awareness on, and it's something that has never been done before. >>And what's the current status of the project? >>So wave been live for about four years now we have 100 sail drones were building one a day towards the goal of having 1000 which we covered all the planet in a six by six degrees squares on. We are operationally active in the Arctic in the tropical Pacific. In the Atlantic. We just circumnavigated Antarctica, So it's the thing. That's really it's out there. But it's very far from from from land, >>So the spirit of cloud and agility static buoy goes away. You want to put the sale drones out there to gather and move around and capture. >>That's what the buoy is. You know, a massive steel thing, which has a full mile long cable, and it's it's headed to the silo in a fix stations one point and the ocean goes by. You having and robots means that you can go where you know something interesting is happening where you have a hurricane where you might have an atmospheric river where you might have a natural catastrophe or man made catastrophe. So this intelligence of the platform is really important in the navigation. That platform requires intelligence. And on the other side, getting 1000 times more data allows you to understand things better, just like Michael is doing. >>It isn't a non profit of four profit venture. >>It's a for profit company. So we said raw data a fraction of the cost of existing solution to try to create this kind of transformative impact on understanding what's happening >>that's super exciting for all the maritime folks out there because I love the ocean myself. Henry, you you're tackling real big mission. How using technology. I can almost imagine the instrumentation must be off the charts. What's your opportunity? Looked like? A tech perspective >>s o The level of control we have in our farms is really unparalleled. Weaken tune Just about every parameter that goes into growing our plans from temperature humidity Co Two light intensity day night cycles list keeps going on. And so to do Maur with fewer resource is to grow Maurin our farms. We're doing something called science a scale where we can pull different levers and make changes to recipes in real time. And we're using a I tow, understand the impact that those changes have and to guide us going from millions of different permutations. Trillions of permutations, really too. The perfect outdone >>converging. You jittery? Look at the product outcome. You circle that dated back is all on Amazon >>way. Do operate on Amazon. Yeah, and we're using deep learning technology to analyze pictures that come from cameras all over our farms. So we actually have eyes on every single crop that grows in our facilities and So we process those, learn from the data and and funnel that back into the >>like, Maybe put more light on this or do that kind of make a just a conditions. Is that that thing? That's >>exactly it. And we grow lots of different types of plants. We grow butter, head lettuce, romaine, kale, spinach, arugula, basil, cilantro. So there's a lot of different things we grow, and each of them require different, different little tweaks here and there. Toe produced over the best tasting and most nutritious product. >>That's cool, Janet Space. Lastly, on one inspection, we're gonna live on Mars someday. So you might be a weather forecaster for what route to take to Mars. But right now, the practical matter is Israel correlation between these storms. What kind of data problem are you looking at? What is the machine learning? What are some of the cool things you're working on? >>It? We have a big date, a problem because storms of that magnitude are very rare. So it's hard for us to find enough data to train a I we can't actually train a we have to use, you know, learning that doesn't require us to train it, but we've decided to take the approach that these super storms are like anomalies on the normal weather patterns. So we're trying to use the kind of a I that you used to detect anomalies like people who are trying to break into to do bank fraud or, you know, do a Web server tax. We use that same kind of software to tryto identify anomalies that are the space weather and look at the patterns between sort of a normal, more of a normal storm and a space with a huge space weather event to see how they patterns. Comparing how you're amplifying the regular storm into this big Superstorm activity. >>So it sounds like you have to be prepared for identifying the anomaly. See you looking at anomalies to figure out where the anomaly might be ready to be ready to get the anomaly. >>Yeah, you look at the background, and then what sticks out of the background that doesn't look like the background is is identified as the anomaly. And that's the storms that air happening, which are quite rare, >>all three of you guys to do some real cutting edge cool projects. I guess my question would be for the folks that are putting their toe in the water for machine learning. They tend to be new use cases like what you guys are doing, whether it's just a company tryingto read, factor themselves or we become reborn in the cloud ran legacy stuff. When you hear it, Amazon reinvent. This is the big question for these folks that are here. You guys are on the front end of a really cool projects. What's your advice that the people are trying to get in that mindset? >>So I think I think you know the way the way to think about this is if you're good at something and if you think you have the solution for something, how can you make that a 1,000,000 times more efficient? And so the problem is, there's just not enough capacity in the world, usually to treat data sets that a 1,000,000 times larger. And this is where machine learning should be thought about it as an extension of what humans really good at using a pair of eyes, ears or whatever or the sense. And so in our case. For example, counting fish acoustician, train acoustician, look at sonar data and understand schools of fish and can recognize them. And by using this knowledge base, we can train machines to do this on a much grander scale. And when you're doing a much grander scale, you derive. Ah, holding tight to >>your point is that humans are critical. I'm the process. So scaling the human capabilities and maybe filling in another scale issues or >>that's what a machine learning is. It's the greatest enabler of our time. It enables us to do things which are impossible to do before because we just didn't have enough people to do them at scale. >>AKI is being able to ask questions, right? And so if you have the questions to ask, you can apply this technology in a way that's never really been before possible. >>You're Jake. >>Yeah, I am actually someone who didn't know anything about a Ira ml when I started. I'm on. I'm a research scientist. That space weather. So coming into this, I'm working with E m L Solutions Lab here and putting a I experts with with experts and space brother we're getting we're doing things that are gonna give us new advances. I mean, We're already seeing things we didn't know before. So I think that if you partner with people who really have strong a I knowledge, you can use your knowledge of science to really get to the really important issues. >>Okay, I have to ask the final lightning round question. What is the coolest thing that you've done with your project that you've either observed implemented? That is super cool. Super cool. What's the coolest thing >>well in in terms of us were using anomaly detection to identify storms and in the first round through it actually identified every single Superstorm, which was not the major super storms, but it did. But it also started identifying other anomalous events, and when you went looked at him, they were anomalous events. So we're seeing things. It's picking out the weird things that are happening in space weather. It's kind of exciting and interesting. >>I worked for a day with you. I would love to just leave these anomalies every what's the coolest thing that you've seen or done with your project? >>I think the fact that we've built our own custom hardware own camera systems, uh, and that we feed those through algorithms that tell us something about what's happening minute by minute with plans as they grow to see pictures of plants minute by minute, they dance and it's truly it's It's remarkable. >>Wow! Fascinating Machin >>We've counted every single fish on the West Coast, the United States, every single air from Canada to Mexico. I thought I >>was pretty >>good. I didn't think it was possible. >>Very cool. But what's the number? >>Yeah, If I could tell you, I would. But I'm not allowed to tell you the jam. >>And you know where the salmon are, where they're running all that good stuff. Awesome. Well, congratulations, You guys doing some amazing work is pioneering a great example of just what's coming. And I love this angle of making larger human impact using technology. Where you guys a shaping technology for good things. Really, really exciting. Thanks for coming on, John Kerry. We're here live in Vegas for re invent 2019. Stay with more coverage. Day three coming tomorrow back with more After this break, when a fake intel for making it all happened presented by Intel Without their sponsorship, we wouldn't be able to bring this great content. Thanks for watching

Published Date : Dec 5 2019

SUMMARY :

Brought to you by Amazon Web service We're here and strengthen the signal the noise on our seventh reinvent of the eight And I'm working with Amazon right now to of the other risks of space weather changed dramatically in 1989 when Superstorm We want to get into the machine learning and how you guys are applying. And at the core of it is some technology we call the Bowery operating system, You got nice chance that you now tell your story. And that's the oceans on. and to report now that climate change is on everyone's agenda, understanding potentially has 16 ships he in the U. S. So we have to do better. What kind of a I in machine learning are you doing? One of the one of the use cases trying to understand you know who's out there. We are operationally active in the Arctic in the tropical So the spirit of cloud and agility static buoy goes away. And on the other side, getting 1000 So we said raw data a fraction of the cost of existing I can almost imagine the instrumentation And so to do Maur with fewer resource is to grow Maurin Look at the product outcome. So we actually have eyes on every single crop that grows in our facilities Is that that thing? So there's a lot of different things we grow, What are some of the cool things you're working on? a we have to use, you know, learning that doesn't require So it sounds like you have to be prepared for identifying the anomaly. And that's the storms They tend to be new use cases like what you So I think I think you know the way the way to think about this is if you're good at something and if you think you have the So scaling the human capabilities are impossible to do before because we just didn't have enough people to do them at scale. And so if you have the questions to So I think that if you partner with people who What is the coolest thing that and in the first round through it actually identified every single Superstorm, seen or done with your project? uh, and that we feed those through algorithms that tell us something about We've counted every single fish on the West Coast, the United States, every single air from Canada I didn't think it was possible. But what's the number? But I'm not allowed to tell you the jam. And you know where the salmon are, where they're running all that good stuff.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
MichaelPERSON

0.99+

NASAORGANIZATION

0.99+

John KerryPERSON

0.99+

Janet KozyraPERSON

0.99+

MexicoLOCATION

0.99+

Sebastien de HalleuxPERSON

0.99+

MarsLOCATION

0.99+

16 shipsQUANTITY

0.99+

CanadaLOCATION

0.99+

AmazonORGANIZATION

0.99+

JenPERSON

0.99+

20%QUANTITY

0.99+

AntarcticaLOCATION

0.99+

100 waterQUANTITY

0.99+

HenryPERSON

0.99+

1000 timesQUANTITY

0.99+

VegasLOCATION

0.99+

1,000,000 timesQUANTITY

0.99+

EarthLOCATION

0.99+

Henry SztulPERSON

0.99+

Las VegasLOCATION

0.99+

JohnPERSON

0.99+

E m L Solutions LabORGANIZATION

0.99+

ArcticLOCATION

0.99+

JanetPERSON

0.99+

U. S.LOCATION

0.99+

SebastianPERSON

0.99+

Henry StallsPERSON

0.99+

90 secondsQUANTITY

0.99+

AtlanticLOCATION

0.99+

tomorrowDATE

0.99+

two cubesQUANTITY

0.99+

two setsQUANTITY

0.99+

AWSORGANIZATION

0.99+

1000QUANTITY

0.99+

IntelORGANIZATION

0.99+

Janet SpacePERSON

0.99+

1000 sale dronesQUANTITY

0.99+

1989DATE

0.99+

100 sail dronesQUANTITY

0.98+

eight yearsQUANTITY

0.98+

sixQUANTITY

0.98+

Gulf StreamLOCATION

0.98+

eachQUANTITY

0.98+

Walter WallPERSON

0.98+

United StatesLOCATION

0.98+

first roundQUANTITY

0.98+

millionsQUANTITY

0.97+

one a dayQUANTITY

0.97+

SuperstormEVENT

0.97+

Day threeQUANTITY

0.97+

one pointQUANTITY

0.97+

OneQUANTITY

0.97+

earthLOCATION

0.97+

about four yearsQUANTITY

0.96+

Bowery FarmingORGANIZATION

0.96+

West CoastLOCATION

0.96+

threeQUANTITY

0.96+

JakePERSON

0.95+

IsraelLOCATION

0.93+

AKIORGANIZATION

0.93+

Trillions of permutationsQUANTITY

0.92+

Amazon WebORGANIZATION

0.91+

six degrees squaresQUANTITY

0.91+

oneQUANTITY

0.89+

zeroQUANTITY

0.87+

intelORGANIZATION

0.87+

Kilo Physics divisionORGANIZATION

0.86+

SebastianORGANIZATION

0.86+

365 days a yearQUANTITY

0.85+

a dayQUANTITY

0.85+

2019DATE

0.83+

every single fishQUANTITY

0.82+

every pixelQUANTITY

0.79+

BoweryORGANIZATION

0.78+

every single airQUANTITY

0.77+

seventh reinventQUANTITY

0.76+

tropical PacificLOCATION

0.76+

NinaEVENT

0.74+

TwoQUANTITY

0.74+

Science and TechnologyORGANIZATION

0.73+

single cropQUANTITY

0.72+

every single SuperstormQUANTITY

0.68+

four profitQUANTITY

0.59+

CubePERSON

0.57+

MaurPERSON

0.49+

Chris Lynch, AtScale | MIT CDOIQ 2019


 

>> From Cambridge, Massachusetts it's theCUBE, covering MIT Chief Data Officer and Information Quality Symposium 2019. Brought to you by, SiliconANGLE Media. >> Welcome back to Cambridge, Massachusetts, everybody. You're watching theCUBE, the leader in live tech coverage. I'm Dave Vellante with my co-host, Paul Gillan. Chris Lynch, good friend is here CEO, newly minted CEO and AtScale and legend. Good to see you. >> In my own mind. >> In mine too. >> It's great to be here. >> It's awesome, thank you for taking time. I know how busy you are, you're running around like crazy your next big thing. I was excited to hear that you got back into it. I predicted it a while ago you were a very successful venture capitalists but at heart, you're startup guy, aren't ya? >> Yeah 100%, 100%. I couldn't be more thrilled, I feel invigorated. I think I've told you many times, when you've interviewed me and asked me about the transition from being an entrepreneur to being a VC and since it's a PG show, I've got a different analog than the one I usually give you. I used to be a movie star and now I'm an executive producer of movies. Now am back to being a movie star, hopefully. >> yeah well, so you told me when you first became a VC you said, I look for startups that have a 10X impact either 10X value, 10X cost reduction. What was it that attracted you to AtScale? What's the 10X? >> AtScale, addresses $150 billion market problem which is basically bringing traditional BI to the cloud. >> That's the other thing you told me, big markets. >> Yeah, so that's the first thing massive market opportunity. The second is, the innovation component and where the 10X comes we're uniquely qualified to virtualize data into the pipeline and out. So I like to say that we're the bridge between BI and AI and back. We make every BI user, a citizen data scientist and that's a game changer. And that's sort of the new futuristic component of what we do. So one part is steeped in, that $150 billion BI marketplace in a traditional analytics platforms and then the second piece is into you delivering the data, into these BI excuse me, these AI machine learning platforms. >> Do you see that ultimately getting integrated into some kind of larger, data pipeline framework. I mean, maybe it lives in the cloud or maybe on prem, how do you see that evolving over time? >> So I believe that, with AtScale as one single pane of glass, we basically are providing an API, to the data and to the user, one single API. The reason that today we haven't seen the delivery of the promise of big data is because we don't have big data. Fortunate 2000 companies don't have big data. They have lots of data but to me big data means you can have one logical view of that data and get the best data pumped into these models in these tools, and today that's not the case. They're constricted by location they're constricted by vendor they're constricted by whether it's in the cloud or on prem. We eliminate those restrictions. >> The single API, I think is important actually. Because when you look at some of these guys what they're doing with their data pipeline they might have 10 or 15 unique API's that they're trying to manage. So there's a simplification aspect to, I suppose. >> One of the knocks on traditional BI has always been the need for extract databases and all the ETL that goes that's involved in that. Do you guys avoid that stage? You go to the production data directly or what's the-- >> It's a great question. The way I put it is, we bring Moses to the mountain the mountain being the data, Moses being the user. Traditionally, what people have been trying to do is bring the mountain to Moses, doesn't scale. At AtScale, we provide an abstraction a logical distraction between the data and the BI user. >> You don't touch, you don't move the data. >> We don't move the data. Which is what's unique and that's what's delivering I think, way more than a 10X delivery in value. >> Because you leave the data in place you bring that value to wherever the data is. Which is the original concept of Hadoop, by the way. That was what was profound about Hadoop everybody craps on it now, but that was the game changer and if you could take advantage of that that's how you tap your 10X. >> To the difference is, we're not, to your point we're not moving the data. Hadoop, in my humble opinion why it plateaued is because to get the value, you had to ask the user to bring and put data in yet another platform. And the reason that we're not delivering on big data as an industry, I believe is because we've too many data sources, too many platforms too many consumers of data and too many producers. As we build all these islands of data, with no connectivity. The idea is, we'll create this big data lake and we're going to physically put everything in there. Guess what? Someday turned out to be never. Because people aren't going to deal with the business disruption. We move thousands of users from a platform like Teradata to a platform like Snowflake or Google BigQuery, we don't care. We're a multi-cloud and we're a hybrid cloud. But we do it without any disruption. You're using Excel, you just continue and use it. You just see the results are faster. You use Tableau, same difference. >> So we had all the vertical rock stars in here. So we had Colin in yesterday, we had Stonebraker around earlier. Andy Palmer just came on and Chris here with the CEO who ultimately sold the company to HP. That really didn't do anything with it and then spun it off and now it's back. Aaron was, he had a spring in his step yesterday. So when you think about, Vertica. The technology behind Vertica go back 10 years and where we come now give us a little journey of, your data journey. >> So I think it plays into the, the original assertion is that, vertical is a best-in-class platform for analytics but it was yet another platform. The analog I give now, is now we have Snowflake and six months, 12 months from now we're going to have another one. And that creates a set of problems if you have to live in the physical world. Because you've all these islands of data and I believe, it's about the data not about the models, it's about the data. You can't get optimal results if you don't have an optimal access to the pertinent data. I believe that having that Universal API is going to make the next platform that more valuable. You're not going to be making the trade-off is, okay we have this platform that has some neat capability but the trade-off is from an enterprise architecture perspective we're never going to be able to connect all this stuff. That's how all of these things proliferated. My view is, in a world where you have that single pane of glass, that abstraction layer between the user and the data. Then innovation can be spawned quicker and you can use these tools effectively 'cause you're not compromising being able to get a logical view of the data and get access to it as a user. >> What's your issue with Snowflake you mentioned them, Mugli's company-- >> No issue, they're a great partner of ours. We eliminate the friction between the user going from an on-prem solution to the cloud. >> Slootman just took over there. So you know where that's going. >> Yep (laughing) >> Frank's got the magic touch. Okay good, you say they're a partner yours how are you guys partnering? >> They refer us into customers that, if you want to buy Snowflake now the next issue is, how do i migrate? You don't. You put our virtualization layer in and then we allow you access to Snowflake in a non-disruptive way, versus having to move data into their system or into a particular cloud which creates sales friction. >> Moving data is just, you want to avoid it at all cost. >> I do want to ask you because I met with your predecessors, Dave Mariani last year and I know he was kind of a reluctant CEO he didn't really want to be CEO but wanted to be CTO, which is what he is now. How did that come about, that they found you that you connected with them and decided this was the right opportunity. >> That's a great question. I actually looked at the company at the seed stage when I was in venture, but I had this thing as you know that, I wanted to move companies to Boston and they're about my vintage age-wise and he's married with four kids so that wasn't in the cards. I said look, it doesn't make sense for me to seed this company 'cause I can't give you the time you're out in California everything I'm instrumenting is around Boston. We parted friends. And I was skeptical whether he could build this 'cause people have been talking about building a heterogeneous universal semantic layer, for years and it's never come to fruition. And then he read in Fortune or Forbes that I was leaving Accomplice and that I was looking for one more company to operate. He reached out and he told me what they were doing that hey, we really built it but we need help and I don't want to run this. It's not right for the company and the opportunity So he said, "I'll come and I'll consult to you." I put together a plan and I had my Vertica and data robot. NekTony guys do the technical diligence to make sure that the architecture wasn't wedded to the dupe, like all the other ones were and when I saw it wasn't then I knew the market opportunity was to take that, rifle and point it at that legacy $150 billion BI market not at the billion dollar market of Hadoop. And when we did that, we've been growing at 162% quarter-over-quarter. We've built development centers in Bulgaria. We've moved all operations, non-technical to Boston here down in our South Station. We've been on fire and we are the partner of choice of every cloud manner, because we eliminate the sales friction, for customers being able to take advantage of movement to the cloud and we're able through our intelligent pipeline and capability. We're able to reduce the cost significantly of queries because we understand and we were able to intelligently cash those queries. >> Sales ops is here, all-- >> Sales marketing, customer support, customer success and we're building a machine learning team here at Dev team here. >> Where are you in that sort of Boston build-out? >> We have an office on 711 Atlantic that we opened in the fall. We're actually moving from 4,000 square feet to 10,000 this month. In less than six months and we'll house by the first year, 100 employees in Boston 100 in Bulgaria and about that same hundred in San Mateo. >> Are you going after net new business mainly? Or there's a lot of legacy BI out there are you more displacing those products? >> A couple of things. What we find is that, customers want to evolve into the cloud, they don't want a revolution they want a evolution. So we allow them, because we support hybrid cloud to keep some data behind the firewall and then experiment with moving other data to the cloud platform of choice but we're still providing that one logical view. I would say most of our customers are looking to reap platform, off of Teradata or something onto a, another platform like Snowflake. And then we have a set of customers that see that as part of the solution but not the whole solution. They're more true hybrids but I would say that 80% of our customers are traditional BI customers that are trying to contemporize their environments and be able to take advantage of tabular support and multidimensional, the things that we do in addition to the cube world. >> They can keep whatever they're using. >> Correct, that's the key. >> Did you do the series D, you did, right? >> Yes, Morgan Stanely led. >> So you're not actively but you're good for now, It was like $50 million >> Yeah we raised $50 million. >> You're good for a bit. Who's in the Chris Lynch target? (laughs) Who's the enemy? Vertica, I could say it was the traditional database guys. Who's the? >> We're in a unique position, we're almost Switzerland so we could be friend to foe, of anybody in that ecosystem because we can, non-disruptively re-platform customers between legacy platforms or from legacy platforms to the cloud. We're an interesting position. >> So similar to the file sharing. File virtualization company >> The Copier. >> Copier yeah. >> It puts us in an interesting position. They need to be friends with us and at the same time I'm sure that they're concerned about the capabilities we have but we have a number of retail customers for instance that have asked us to move down from Amazon to Google BigQuery, which we accommodate and because we can do that non-disruptively. The cost and the ability to move is eliminated. It gives customers true freedom of choice. >> How worried are you, that AWS tries to replicate what you guys do. You're in their sights. >> I think there are technical, legal and structural barriers to them doing that. The technical is, this team has been at it for six and a half years. So to do what we do, they'll have to do what we've done. Structurally from a business perspective if they could, I'm not sure they want to. The way to think about Amazon is, they're no different than Teradata, except for they want the same vendor lock-in except they want it to be the Amazon Cloud when Teradata wanted it to be, their data warehouse. >> They don't promote multi-cloud versus-- >> Yeah, they don't want multi-cloud they don't want >> On Prem >> Customers to have a freedom of choice. Would they really enable a heterogeneous abstraction layer, I don't think they would nor do I think any of the big guys would. They all claim to have this capability for their system. It's like the old IBM adage I'm in prison but the food's going to get three squares a day, I get cable TV but I'm in prison. (laughing) >> Awesome, all right, parting thoughts. >> Parting thoughts, oh geez you got to give me a question I'm not that creative. >> What's next, for you guys? What should we be paying attention to? >> I think you're going to see some significant announcements in September regarding the company and relationships that I think will validate the impact we're having in the market. >> Give you some leverage >> Yeah, will give us, better channel leverage. We have a major technical announcement that I think will be significant to the marketplace and what will be highly disruptive to some of the people you just mentioned. In terms of really raising the bar for customers to be able to have the freedom of choice without any sort of vendor lock-in. And I think that that will create some counter strike which we'll be ready for. (laughing) >> If you've never heard of AtScale before trust me you're going to in the next 18 months. Chris Lynch, thanks so much for coming on theCUBE. >> It's my pleasure. >> Great to see you. All right, keep it right there everybody we're back with our next guest, right after this short break you're watching theCUBE from MIT, right back. (upbeat music)

Published Date : Aug 2 2019

SUMMARY :

Brought to you by, SiliconANGLE Media. Good to see you. that you got back into it. and asked me about the transition What was it that attracted you to AtScale? traditional BI to the cloud. That's the other thing and then the second piece is into you I mean, maybe it lives in the cloud and get the best data Because when you look and all the ETL that goes is bring the mountain don't move the data. We don't move the data. and if you could take advantage of that is because to get the value, So when you think about, Vertica. and I believe, it's about the data We eliminate the friction between the user So you know where that's going. Frank's got the magic touch. and then we allow you access to Snowflake you want to avoid it that they found you and it's never come to fruition. and we're building a by the first year, 100 employees in Boston the things that we do Who's in the Chris Lynch target? to the cloud. So similar to the file sharing. about the capabilities we have tries to replicate what you guys do. So to do what we do, they'll I'm in prison but the food's you got to give me a question in September regarding the to some of the people you just mentioned. in the next 18 months. Great to see you.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Paul GillanPERSON

0.99+

Dave VellantePERSON

0.99+

Chris LynchPERSON

0.99+

AmazonORGANIZATION

0.99+

BulgariaLOCATION

0.99+

SeptemberDATE

0.99+

ChrisPERSON

0.99+

AWSORGANIZATION

0.99+

10QUANTITY

0.99+

HPORGANIZATION

0.99+

Andy PalmerPERSON

0.99+

Dave MarianiPERSON

0.99+

CaliforniaLOCATION

0.99+

AaronPERSON

0.99+

BostonLOCATION

0.99+

San MateoLOCATION

0.99+

$150 billionQUANTITY

0.99+

$50 millionQUANTITY

0.99+

$150 billionQUANTITY

0.99+

MosesPERSON

0.99+

80%QUANTITY

0.99+

4,000 square feetQUANTITY

0.99+

last yearDATE

0.99+

second pieceQUANTITY

0.99+

162%QUANTITY

0.99+

South StationLOCATION

0.99+

AtScaleORGANIZATION

0.99+

Morgan StanelyPERSON

0.99+

100%QUANTITY

0.99+

four kidsQUANTITY

0.99+

ExcelTITLE

0.99+

six and a half yearsQUANTITY

0.99+

SiliconANGLE MediaORGANIZATION

0.99+

Cambridge, MassachusettsLOCATION

0.99+

IBMORGANIZATION

0.99+

TableauTITLE

0.99+

yesterdayDATE

0.99+

firstQUANTITY

0.99+

secondQUANTITY

0.99+

TeradataORGANIZATION

0.99+

Cambridge, MassachusettsLOCATION

0.99+

less than six monthsQUANTITY

0.99+

SnowflakeORGANIZATION

0.99+

FrankPERSON

0.99+

todayDATE

0.98+

this monthDATE

0.98+

SwitzerlandLOCATION

0.98+

HadoopTITLE

0.98+

10XQUANTITY

0.98+

100 employeesQUANTITY

0.98+

one partQUANTITY

0.98+

SlootmanPERSON

0.98+

10,000QUANTITY

0.97+

VerticaORGANIZATION

0.97+

MugliORGANIZATION

0.97+

GoogleORGANIZATION

0.97+

15 unique APIQUANTITY

0.96+

hundredQUANTITY

0.96+

six monthsQUANTITY

0.96+

three squares a dayQUANTITY

0.96+

thousands of usersQUANTITY

0.96+

NekTonyORGANIZATION

0.96+

FortuneTITLE

0.96+

12 monthsQUANTITY

0.95+

single APIQUANTITY

0.95+

711 AtlanticLOCATION

0.95+

2000 companiesQUANTITY

0.94+

OneQUANTITY

0.94+

next 18 monthsDATE

0.94+

ColinPERSON

0.93+

one more companyQUANTITY

0.92+

one single APIQUANTITY

0.92+

single paneQUANTITY

0.91+

Gokula Mishra | MIT CDOIQ 2019


 

>> From Cambridge, Massachusetts, it's theCUBE covering MIT Chief Data Officer and Information Quality Symposium 2019 brought to you by SiliconANGLE Media. (upbeat techno music) >> Hi everybody, welcome back to Cambridge, Massachusetts. You're watching theCUBE, the leader in tech coverage. We go out to the events. We extract the signal from the noise, and we're here at the MIT CDOIQ Conference, Chief Data Officer Information Quality Conference. It is the 13th year here at the Tang building. We've outgrown this building and have to move next year. It's fire marshal full. Gokula Mishra is here. He is the Senior Director of Global Data and Analytics and Supply Chain-- >> Formerly. Former, former Senior Director. >> Former! I'm sorry. It's former Senior Director of Global Data Analytics and Supply Chain at McDonald's. Oh, I didn't know that. I apologize my friend. Well, welcome back to theCUBE. We met when you were at Oracle doing data. So you've left that, you're on to your next big thing. >> Yes, thinking through it. >> Fantastic, now let's start with your career. You've had, so you just recently left McDonald's. I met you when you were at Oracle, so you cut over to the dark side for a while, and then before that, I mean, you've been a practitioner all your life, so take us through sort of your background. >> Yeah, I mean my beginning was really with a company called Tata Burroughs. Those days we did not have a lot of work getting done in India. We used to send people to U.S. so I was one of the pioneers of the whole industry, coming here and working on very interesting projects. But I was lucky to be working on mostly data analytics related work, joined a great company called CS Associates. I did my Master's at Northwestern. In fact, my thesis was intelligent databases. So, building AI into the databases and from there on I have been with Booz Allen, Oracle, HP, TransUnion, I also run my own company, and Sierra Atlantic, which is part of Hitachi, and McDonald's. >> Awesome, so let's talk about use of data. It's evolved dramatically as we know. One of the themes in this conference over the years has been sort of, I said yesterday, the Chief Data Officer role emerged from the ashes of sort of governance, kind of back office information quality compliance, and then ascended with the tailwind of the Big Data meme, and it's kind of come full circle. People are realizing actually to get value out of data, you have to have information quality. So those two worlds have collided together, and you've also seen the ascendancy of the Chief Digital Officer who has really taken a front and center role in some of the more strategic and revenue generating initiatives, and in some ways the Chief Data Officer has been a supporting role to that, providing the quality, providing the compliance, the governance, and the data modeling and analytics, and a component of it. First of all, is that a fair assessment? How do you see the way in which the use of data has evolved over the last 10 years? >> So to me, primarily, the use of data was, in my mind, mostly around financial reporting. So, anything that companies needed to run their company, any metrics they needed, any data they needed. So, if you look at all the reporting that used to happen it's primarily around metrics that are financials, whether it's around finances around operations, finances around marketing effort, finances around reporting if it's a public company reporting to the market. That's where the focus was, and so therefore a lot of the data that was not needed for financial reporting was what we call nowadays dark data. This is data we collect but don't do anything with it. Then, as the capability of the computing, and the storage, and new technologies, and new techniques evolve, and are able to handle more variety and more volume of data, then people quickly realize how much potential they have in the other data outside of the financial reporting data that they can utilize too. So, some of the pioneers leverage that and actually improved a lot in their efficiency of operations, came out with innovation. You know, GE comes to mind as one of the companies that actually leverage data early on, and number of other companies. Obviously, you look at today data has been, it's defining some of the multi-billion dollar company and all they have is data. >> Well, Facebook, Google, Amazon, Microsoft. >> Exactly. >> Apple, I mean Apple obviously makes stuff, but those other companies, they're data companies. I mean largely, and those five companies have the highest market value on the U.S. stock exchange. They've surpassed all the other big leaders, even Berkshire Hathaway. >> So now, what is happening is because the market changes, the forces that are changing the behavior of our consumers and customers, which I talked about which is everyone now is digitally engaging with each other. What that does is all the experiences now are being captured digitally, all the services are being captured digitally, all the products are creating a lot of digital exhaust of data and so now companies have to pay attention to engage with their customers and partners digitally. Therefore, they have to make sure that they're leveraging data and analytics in doing so. The other thing that has changed is the time to decision to the time to act on the data inside that you get is shrinking, and shrinking, and shrinking, so a lot more decision-making is now going real time. Therefore, you have a situation now, you have the capability, you have the technology, you have the data now, you have to make sure that you convert that in what I call programmatic kind of data decision-making. Obviously, there are people involved in more strategic decision-making. So, that's more manual, but at the operational level, it's going more programmatic decision-making. >> Okay, I want to talk, By the way, I've seen a stat, I don't know if you can confirm this, that 80% of the data that's out there today is dark data or it's data that's behind a firewall or not searchable, not open to Google's crawlers. So, there's a lot of value there-- >> So, I would say that percent is declining over time as companies have realized the value of data. So, more and more companies are removing the silos, bringing those dark data out. I think the key to that is companies being able to value their data, and as soon as they are able to value their data, they are able to leverage a lot of the data. I still believe there's a large percent still not used or accessed in companies. >> Well, and of course you talked a lot about data monetization. Doug Laney, who's an expert in that topic, we had Doug on a couple years ago when he, just after, he wrote Infonomics. He was on yesterday. He's got a very detailed prescription as to, he makes strong cases as to why data should be valued like an asset. I don't think anybody really disagrees with that, but then he gave kind of a how-to-do-it, which will, somewhat, make your eyes bleed, but it was really well thought out, as you know. But you talked a lot about data monetization, you talked about a number of ways in which data can contribute to monetization. Revenue, cost reduction, efficiency, risk, and innovation. Revenue and cost is obvious. I mean, that's where the starting point is. Efficiency is interesting. I look at efficiency as kind of a doing more with less but it's sort of a cost reduction, but explain why it's not in the cost bucket, it's different. >> So, it is first starts with doing what we do today cheaper, better, faster, and doing more comes after that because if you don't understand, and data is the way to understand how your current processes work, you will not take the first step. So, to take the first step is to understand how can I do this process faster, and then you focus on cheaper, and then you focus on better. Of course, faster is because of some of the market forces and customer behavior that's driving you to do that process faster. >> Okay, and then the other one was risk reduction. I think that makes a lot of sense here. Actually, let me go back. So, one of the key pieces of it, of efficiency is time to value. So, if you can compress the time, or accelerate the time and you get the value that means more cash in house faster, whether it's cost reduction or-- >> And the other aspect you look at is, can you automate more of the processes, and in that way it can be faster. >> And that hits the income statement as well because you're reducing headcount cost of your, maybe not reducing headcount cost, but you're getting more out of different, out ahead you're reallocating them to more strategic initiatives. Everybody says that but the reality is you hire less people because you just automated. And then, risk reduction, so the degree to which you can lower your expected loss. That's just instead thinking in insurance terms, that's tangible value so certainly to large corporations, but even midsize and small corporations. Innovation, I thought was a good one, but maybe you could use an example of, give us an example of how in your career you've seen data contribute to innovation. >> So, I'll give an example of oil and gas industry. If you look at speed of innovation in the oil and gas industry, they were all paper-based. I don't know how much you know about drilling. A lot of the assets that goes into figuring out where to drill, how to drill, and actually drilling and then taking the oil or gas out, and of course selling it to make money. All of those processes were paper based. So, if you can imagine trying to optimize a paper-based innovation, it's very hard. Not only that, it's very, very by itself because it's on paper, it's in someone's drawer or file. So, it's siloed by design and so one thing that the industry has gone through, they recognize that they have to optimize the processes to be better, to innovate, to find, for example, shale gas was a result output of digitizing the processes because otherwise you can't drill faster, cheaper, better to leverage the shale gas drilling that they did. So, the industry went through actually digitizing a lot of the paper assets. So, they went from not having data to knowingly creating the data that they can use to optimize the process and then in the process they're innovating new ways to drill the oil well cheaper, better, faster. >> In the early days of oil exploration in the U.S. go back to the Osage Indian tribe in northern Oklahoma, and they brilliantly, when they got shuttled around, they pushed him out of Kansas and they negotiated with the U.S. government that they maintain the mineral rights and so they became very, very wealthy. In fact, at one point they were the wealthiest per capita individuals in the entire world, and they used to hold auctions for various drilling rights. So, it was all gut feel, all the oil barons would train in, and they would have an auction, and it was, again, it was gut feel as to which areas were the best, and then of course they evolved, you remember it used to be you drill a little hole, no oil, drill a hole, no oil, drill a hole. >> You know how much that cost? >> Yeah, the expense is enormous right? >> It can vary from 10 to 20 million dollars. >> Just a giant expense. So, now today fast-forward to this century, and you're seeing much more sophisticated-- >> Yeah, I can give you another example in pharmaceutical. They develop new drugs, it's a long process. So, one of the initial process is to figure out what molecules this would be exploring in the next step, and you could have thousand different combination of molecules that could treat a particular condition, and now they with digitization and data analytics, they're able to do this in a virtual world, kind of creating a virtual lab where they can test out thousands of molecules. And then, once they can bring it down to a fewer, then the physical aspect of that starts. Think about innovation really shrinking their processes. >> All right, well I want to say this about clouds. You made the statement in your keynote that how many people out there think cloud is cheaper, or maybe you even said cheap, but cheaper I inferred cheaper than an on-prem, and so it was a loaded question so nobody put their hand up they're afraid, but I put my hand up because we don't have any IT. We used to have IT. It was a nightmare. So, for us it's better but in your experience, I think I'm inferring correctly that you had meant cheaper than on-prem, and certainly we talked to many practitioners who have large systems that when they lift and shift to the cloud, they don't change their operating model, they don't really change anything, they get a bill at the end of the month, and they go "What did this really do for us?" And I think that's what you mean-- >> So what I mean, let me make it clear, is that there are certain use cases that cloud is and, as you saw, that people did raise their hand saying "Yeah, I have use cases where cloud is cheaper." I think you need to look at the whole thing. Cost is one aspect. The flexibility and agility of being able to do things is another aspect. For example, if you have a situation where your stakeholder want to do something for three weeks, and they need five times the computing power, and the data that they are buying from outside to do that experiment. Now, imagine doing that in a physical war. It's going to take a long time just to procure and get the physical boxes, and then you'll be able to do it. In cloud, you can enable that, you can get GPUs depending on what problem we are trying to solve. That's another benefit. You can get the fit for purpose computing environment to that and so there are a lot of flexibility, agility all of that. It's a new way of managing it so people need to pay attention to the cost because it will add to the cost. The other thing I will point out is that if you go to the public cloud, because they make it cheaper, because they have hundreds and thousands of this canned CPU. This much computing power, this much memory, this much disk, this much connectivity, and they build thousands of them, and that's why it's cheaper. Well, if your need is something that's very unique and they don't have it, that's when it becomes a problem. Either you need more of those and the cost will be higher. So, now we are getting to the IOT war. The volume of data is growing so much, and the type of processing that you need to do is becoming more real-time, and you can't just move all this bulk of data, and then bring it back, and move the data back and forth. You need a special type of computing, which is at the, what Amazon calls it, adds computing. And the industry is kind of trying to design it. So, that is an example of hybrid computing evolving out of a cloud or out of the necessity that you need special purpose computing environment to deal with new situations, and all of it can't be in the cloud. >> I mean, I would argue, well I guess Microsoft with Azure Stack was kind of the first, although not really. Now, they're there but I would say Oracle, your former company, was the first one to say "Okay, we're going to put the exact same infrastructure on prem as we have in the public cloud." Oracle, I would say, was the first to truly do that-- >> They were doing hybrid computing. >> You now see Amazon with outposts has done the same, Google kind of has similar approach as Azure, and so it's clear that hybrid is here to stay, at least for some period of time. I think the cloud guys probably believe that ultimately it's all going to go to the cloud. We'll see it's going to be a long, long time before that happens. Okay! I'll give you last thoughts on this conference. You've been here before? Or is this your first one? >> This is my first one. >> Okay, so your takeaways, your thoughts, things you might-- >> I am very impressed. I'm a practitioner and finding so many practitioners coming from so many different backgrounds and industries. It's very, very enlightening to listen to their journey, their story, their learnings in terms of what works and what doesn't work. It is really invaluable. >> Yeah, I tell you this, it's always a highlight of our season and Gokula, thank you very much for coming on theCUBE. It was great to see you. >> Thank you. >> You're welcome. All right, keep it right there everybody. We'll be back with our next guest, Dave Vellante. Paul Gillin is in the house. You're watching theCUBE from MIT. Be right back! (upbeat techno music)

Published Date : Aug 1 2019

SUMMARY :

brought to you by SiliconANGLE Media. He is the Senior Director of Global Data and Analytics Former, former Senior Director. We met when you were at Oracle doing data. I met you when you were at Oracle, of the pioneers of the whole industry, and the data modeling and analytics, So, if you look at all the reporting that used to happen the highest market value on the U.S. stock exchange. So, that's more manual, but at the operational level, that 80% of the data that's out there today and as soon as they are able to value their data, Well, and of course you talked a lot and data is the way to understand or accelerate the time and you get the value And the other aspect you look at is, Everybody says that but the reality is you hire and of course selling it to make money. the mineral rights and so they became very, very wealthy. and you're seeing much more sophisticated-- So, one of the initial process is to figure out And I think that's what you mean-- and the type of processing that you need to do I mean, I would argue, and so it's clear that hybrid is here to stay, and what doesn't work. Yeah, I tell you this, Paul Gillin is in the house.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Dave VellantePERSON

0.99+

AmazonORGANIZATION

0.99+

HitachiORGANIZATION

0.99+

AppleORGANIZATION

0.99+

FacebookORGANIZATION

0.99+

MicrosoftORGANIZATION

0.99+

GoogleORGANIZATION

0.99+

Doug LaneyPERSON

0.99+

five timesQUANTITY

0.99+

OracleORGANIZATION

0.99+

KansasLOCATION

0.99+

TransUnionORGANIZATION

0.99+

Paul GillinPERSON

0.99+

HPORGANIZATION

0.99+

three weeksQUANTITY

0.99+

IndiaLOCATION

0.99+

10QUANTITY

0.99+

Sierra AtlanticORGANIZATION

0.99+

Gokula MishraPERSON

0.99+

DougPERSON

0.99+

hundredsQUANTITY

0.99+

Berkshire HathawayORGANIZATION

0.99+

five companiesQUANTITY

0.99+

80%QUANTITY

0.99+

U.S.LOCATION

0.99+

Booz AllenORGANIZATION

0.99+

Tata BurroughsORGANIZATION

0.99+

first stepQUANTITY

0.99+

GokulaPERSON

0.99+

next yearDATE

0.99+

thousandsQUANTITY

0.99+

McDonald'sORGANIZATION

0.99+

one aspectQUANTITY

0.99+

Cambridge, MassachusettsLOCATION

0.99+

SiliconANGLE MediaORGANIZATION

0.99+

firstQUANTITY

0.99+

yesterdayDATE

0.99+

thousands of moleculesQUANTITY

0.99+

first oneQUANTITY

0.99+

OneQUANTITY

0.98+

GEORGANIZATION

0.98+

northern OklahomaLOCATION

0.98+

todayDATE

0.97+

CS AssociatesORGANIZATION

0.97+

20 million dollarsQUANTITY

0.97+

oneQUANTITY

0.96+

FirstQUANTITY

0.96+

Global Data and Analytics and Supply ChainORGANIZATION

0.95+

MIT CDOIQ ConferenceEVENT

0.95+

13th yearQUANTITY

0.94+

U.S. governmentORGANIZATION

0.93+

two worldsQUANTITY

0.92+

Azure StackTITLE

0.91+

one thingQUANTITY

0.9+

one pointQUANTITY

0.9+

NorthwesternORGANIZATION

0.9+

couple years agoDATE

0.89+

MIT Chief Data Officer and Information Quality Symposium 2019EVENT

0.87+

this centuryDATE

0.85+

Tang buildingLOCATION

0.85+

Global Data Analytics andORGANIZATION

0.83+

Chief Data Officer Information Quality ConferenceEVENT

0.81+

MITORGANIZATION

0.78+

theCUBEORGANIZATION

0.77+

thousand different combination of moleculesQUANTITY

0.74+

lastDATE

0.67+

yearsDATE

0.66+

U.S.ORGANIZATION

0.66+

billion dollarQUANTITY

0.65+

themesQUANTITY

0.65+

Osage IndianOTHER

0.64+

Jon Hirschtick, Onshape Inc. | Actifio Data Driven 2019


 

>> from Boston, Massachusetts. It's the queue covering active eo 2019. Data driven you by activity. >> Welcome back to Boston. Everybody watching the Cube, the leader and on the ground tech coverage money was David wanted here with my co host. A student of John for is also in the house. This is active FiOS data driven 19 conference. They're second year, John. Her stick is here is the co founder and CEO of on shape John. Thanks for coming in the Cube. Great to have you great to be here. So love the cofounder. I always ask your father. Why did you start the company? Well, we found it on shape because >> we saw an opportunity to improve how every product on Earth gets developed. Let people who develop products do it faster, B'more, innovative, and do it through a new generation software platform based in the cloud. That's our vision for on shape, That's why. Okay, >> so that's great. You start with the widened. The what is just new generation software capabilities to build the great products visualized actually create >> way took the power of cloud web and mobile and used it to re implement a lot of the classic tools for product development. Three d cad Data management Workflow Bill of Materials. He's may not mean anything to you, but they mean a lot to product developers, and we believe by by moving in the cloud by rethinking them for the cloud we can give people capabilities they've never had before. >> John, bring us in tight a little bit. So you know, I think I've heard a lot the last few years. It's like, Well, I could just do everything a simulation computer simulation. We can have all these models. They could make their three D printings changing the way I build prototypes. So what's kind of state of the state and in your fields? So >> the state of the Art R field is to model product in three dimensions in the computer before you build it for lots of reasons. For simulation for three D printing, you have to have a CAD model to do it, to see how it'll look, how parts fit together, how much it will cost. Really, every product today is built twice. First, it's built in the computer in three dimensions, is a digital model, then it's built in the real world, and what we're trying to do is make those three D modeling and data management collaboration tools to take them to a whole nother level to turbo charge it, if you will, so that teams can can work together even if they're distribute around the world. They work faster. They don't have to pay a tax to install and Karen feed for these systems. You're very complicated, a whole bunch of other benefits. So we talk about the cloud model >> you're talking about a sass model, a subscription model of different customer experience, all of the above, all of the above. Yeah, it's definitely a sass model we do on Ly SAS Way >> hosted and, uh, Amazon. Eight of us were all in with Amazon. It's a it's a subscription model, and we provide a much better, much more modern, better, more productive experience for the user CIA disrupting the traditional >> cad business. Is that Is that right? I mean more than cat cat Plus because there's no such thing as a cad company anymore. We're essentially disrupting the systems that we built because I've been in this business 30 38 years now. I've been doing this. I feel like I'm about half done. Really, really talking about >> your career. Way to start out. Well, I grew up in Chicago. I went to M I t and majored in mechanical engineering and knew howto program computers. And I go to get an internship in 1981 and they say computers, mechanical injury. You need to work on CAD. And I haven't stopped since, you know, because Because we're not done, you know, still still working here. You would >> have me, right? You can't let your weight go dynamic way before we get off on the M I t. Thing you were part of, you know, quite well known group. And Emmet tell us a little bit >> about what you're talking about. The American society of Mechanical Engineer >> has may I was actually an officer and and as any I know your great great events, but the number 21 comes to >> mind you're talking about the MIT blackjack team? Yes, I was, ah, player on the MIT blackjack team, and it's the team featured in movies, TV shows and all that. Yeah, very exciting thing to be doing while I was working at the cath lab is a grad student, you know, doing pursuing my legitimate career. There is also also, uh, playing blackjack. Okay, so you got to add some color to that. So where is the goal of the M I T. Blackjack team? What did you guys do? The goal of the M I t blackjack team was honestly, to make money using legal means of skill to Teo obtain an edge playing blackjack. And that's what we did using. Guess what? The theme of data which ties into this data driven conference and what active Eo is doing. I wish we had some of the data tools of today. I wish we had those 30 years ago. We could have We could have done even more, but it really was to win money through skill. Okay, so So you you weren't wired. Is that right? I mean, it was all sort of No, at the time, you could not use a computer in the casino. Legally, it was illegal to use a computer, so we didn't use it. We use the computer to train ourselves to analyze data. To give a systems is very common. But in the casino itself, we were just operating with good old, you know, good. This computer. Okay. And this computer would what you would you would you would count cards you would try to predict using your yeah, count cards and predict in card. Very good observation there. Card counting is really essentially prediction. In a sense, it's knowing when the remaining cards to be dealt are favorable to the player. That's the goal card counting and other systems we used. We had some proprietary systems to that were very, very not very well known. But it was all about knowing when you had an edge and when you did betting a lot of money and when you didn't betting less double doubling down on high probability situations, so on, So did that proceed Or did that catalyze like, you know, four decks, eight decks, 12 12 decks or if they were already multiple decks. So I don't think we drove them to have more decks. But we did our team. Really. Some of the systems are team Pioneer did drive some changes in the game, which are somewhat subtle. I could get into it, you know, I don't know how much time we have that they were minor changes that our team drove. The multiple decks were already are already well established. By the time my team came up, how did you guys do you know it was your record? I like to say we won millions of dollars during the time I was associated with the team and pretty pretty consistently won. We didn't win every day or every weekend, but we'd run a project for, say, six months at a time. We called it a bank kind of like a fund, if you will, into no six months periods we never lost. We always won something, sometimes quite a bit, where it was part of your data model understanding of certain casinos where there's certain casinos that were more friendly to your methodology. Yes, certain casinos have either differences in rules or, more commonly, differences in what I just call conditions like, for instance, obviously there's a lot of people betting a lot of money. It's easier to blend in, and that's a good thing for us. It could be there there. Their aggressiveness about trying to find card counters right would vary from casino to casino, those kinds of factors and occasionally minor rule variations to help us out. So you're very welcome at because he knows is that well, I once that welcome, I've actually been been Bardet many facilities tell us about that. Well, you get, you get barred, you get usually quite politely asked toe leave by some big guy, sometimes a big person, but sometimes just just honestly, people who like you will just come over and say, Hey, John, we'd rather you not play blackjack here, you know that. You know, we only played in very upstanding professional kind of facilities, but still, the message was clear. You know, you're not welcome here in Las Vegas. They're allowed to bar you from the premises with no reason given in Las Vegas. It's just the law there in Atlantic City. That was not the law. But in Vegas they could bar you and just say you're not welcome. If you come back, we'll arrest you for trespassing. Yeah, And you really think you said everything you did was legal? You know, we kind of gaming the system, I guess through, you know, displaying well probabilities and playing well. But this interesting soothe casinos. Khun, rig the system, right? They could never lose, but the >> players has ever get a bet against the House. >> How did >> you did you at all apply that experience? Your affinity to data to you know, Let's fast forward to where you are now, so I think I learned a lot of lessons playing blackjack that apply to my career and design software tools. It's solid works my old company and now death. So System, who acquired solid words and nowt on shape I learned about data and rigor, could be very powerful tools to win. I learned that even when everyone you know will tell you you can't win, you still can win. You know that a lot of people told me Black Jack would never work. A lot of people told me solid works. We never worked. A lot of people told me on shape would be impossible to build. And you know, you learn that you can win even when other people tell you, Can't you learn that in the long run is a long time? People usually think of what you know, Black Jack. You have to play thousands of hands to really see the edge come out. So I've learned that in business sometimes. You know, sometimes you'll see something happened. You just say, Just stay the course. Everything's gonna work out, right? I've seen that happen. >> Well, they say in business oftentimes, if people tell you it's impossible, you're probably looking at a >> good thing to work on. Yeah. So what's made it? What? What? What was made it ostensibly impossible. How did you overcome that challenge? You mean, >> uh, on >> shape? Come on, Shake. A lot of people thought that that using cloud based tools to build all the product development tools people need would be impossible. Our software tools in product development were modeling three D objects to the precision of the real world. You know that a laptop computer, a wristwatch, a chair, it has to be perfect. It's an incredibly hard problem. We work with large amounts of data. We work with really complex mathematics, huge computing loads, huge graphic loads, interactive response times. All these things add up to people feeling Oh, well, that would never be possible in the cloud. But we believe the opposite is true. We believe we're going to show the world. And in the future, people say, you know We don't understand how you do it without the cloud because there's so much computing require. >> Yeah, right. It seems you know where we're heavy in the cloud space. And if you were talking about this 10 years ago, I could understand some skepticism in 10 2019. All of those things that you mentioned, if I could spin it up, I could do it faster. I can get the resources I need when I needed a good economics. But that's what the clouds built for, as opposed to having to build out. You know, all of these resource is yourself. So what >> was the what was the big technical challenge? Was it was it? Was it latent? See, was it was tooling. So performance is one of the big technical challenges, As you'd imagine, You know, we deliver with on shape we deliver a full set of tools, including CAD formal release management with work flow. If that makes sense to you. Building materials, configurations, industrial grade used by professional companies, thousands of companies around the world. We do that all in a Web browser on any Mac Windows machine. Chromebook Lennox's computer iPad. I look atyou. I mean, we're using. We run on all these devices where the on ly tools in our industry that will run on all these devices and we do that kind of magic. There's nothing install. I could go and run on shape right here in your browser. You don't need a 40 pound laptop, so no, you don't need a 40 pound laptop you don't need. You don't need to install anything. It runs like the way we took our inspiration from tools like I Work Day and Sales Force and Zen Desk and Nets. Sweet. It's just we have to do three D graphics and heavy duty released management. All these complexities that they didn't necessarily have to do. The other thing that was hard was not only a technical challenge like that, but way had to rethink how workflow would happen, how the tools could be better. We didn't just take the old tools and throw him up in a cloud window, we said, How could we make a better way of doing workflow, release management and collaboration than it's ever been done before? So we had to rethink the user experience in the paradigms of the systems. Well, you know, a lot of talk about the edge and if it's relevant for your business. But there's a lot of concerns about the cloud being able to support the edge. But just listening to you, John, it's It's like, Well, everybody says it's impossible. Maybe it's not impossible, but maybe you can solve the speed of light problem. Any thoughts on that? Well, I think all cloud solutions use edge to some degree. Like if you look at any of the systems. I just mentioned sales for us workday, Google Maps. They're using these devices. I mean, it's it's important that you have a good client device. You have better experience. They don't just do everything in the cloud. They say There, there. To me, they're like a carefully orchestrated symphony that says We'll do these things in the core of the cloud, these things near the engineer, the user, and then these things will do right in the client device. So when you're moving around your Google map or when you're looking this big report and sales force you're using the client to this is what are we have some amazing people on her team, like R. We have the fellow who was CTO of Blade Logic. Robbie Ready. And he explains these concepts to make John Russo from Hey came to us from Verizon. These are people who know about big systems, and they helped me understand how we would distribute these workloads. So there's there's no such thing is something that runs completely in the cloud. It has to send something down. So, uh, talk aboutthe company where you're at, you guys have done several raises. You've got thousands of customers. You maybe want to add a couple of zeros to that over time is what's the aspirations? Yeah, correct. We have 1000. The good news is we have thousands of customer cos designing everything you could imagine. Some things never would everything from drones two. We have a company doing nuclear counter terrorism equipment. Amazing stuff. Way have people doing special purpose electric vehicles. We have toys way, have furniture, everything you'd imagined. So that's very gratifying. You us. But thousands of companies is still a small part of the world. This is a $10,000,000,000 a year market with $100,000,000,000 in market cap and literally millions of users. So we have great aspirations to grow our number of users and to grow our tool set capability. So let's talk to him for a second. So $10,000,000,000 current tam are there. Jason sees emerging with all these things, like three D printing and machine intelligence, that that actually could significantly increase the tam when you break out your binoculars or even your telescope. Yes, there are. Jason sees their increasing the tam through. Like you say, new areas drive us So So obviously someone is doing more additive manufacturing. More generative design. They're goingto have more use for tools like ours. Cos the other thing that I observed, if I can add one, it's my own observations. I think design is becoming a greater component of GDP, if you will, like if you look at how much goods in the world are driven by design value versus a decade or two or when I was a child, you know, I just see this is incredible amount, like products are distinguished by design more and more, and so I think that we'll see growth also through through the growth in design as an element of GDP on >> Jonah. I love that observation actually felt like, you know, my tradition. Engineering education. Yeah, didn't get much. A lot of design thing. It wasn't until I was in industry for years. That had a lot of exposure to that. And it's something that we've seen huge explosion last 10 years. And if you talk about automation versus people, it's like the people that designed that creativity is what's going to drive into the >> absolutely, You know, we just surveyed almost 1000 professionals product development leaders. Honestly, I think we haven't published our results yet, So you're getting it. We're about to publish it online, and we found that top of mind is designed process improvements over any particular technology. Be a machine learning, You know, the machine learning is a school for the product development. How did it manufacturers a tool to develop new products, but ultimately they have to have a great process to be competitive in today's very competitive markets. Well, you've seen the effect of the impact that Apple has had on DH sort of awakening people to know the value of grace. Desire absolutely have to go back to the Sony Walkman. You know what happened when I first saw one, right? That's very interesting design. And then, you know, Dark Ages compared to today, you know, I hate to say it. Not a shot at Sony with Sony Wass was the apple? Yeah, era. And what happened? Did they drop the ball on manufacturing? Was it cost to shoot? No. They lost the design leadership poll position. They lost that ability to create a world in pox. Now it's apple. And it's not just apple. You've got Tesla who has lit up the world with exciting design. You've got Dyson. You know, you've got a lot of companies that air saying, you know, it's all about designing those cos it's not that they're cheaper products, certainly rethinking things, pushing. Yeah, the way you feel when you use these products, the senses. So >> that's what the brand experience is becoming. All right. All right, John, thanks >> so much for coming on. The Cuban sharing your experiences with our audience. Well, thank you for having me. It's been a pleasure, really? Our pleasure. All right, Keep right. Everybody stupid demand. A volonte, John Furry. We've been back active, eo active data driven 19 from Boston. You're watching the Cube. Thanks

Published Date : Jun 18 2019

SUMMARY :

Data driven you by activity. Great to have you great to be here. software platform based in the cloud. to build the great products visualized actually create of the classic tools for product development. So you know, I think I've heard a lot the last few years. the state of the Art R field is to model product in three dimensions in the computer before all of the above, all of the above. It's a it's a subscription model, and we provide a much better, We're essentially disrupting the systems that we built you know, because Because we're not done, you know, still still working here. before we get off on the M I t. Thing you were part of, about what you're talking about. By the time my team came up, how did you guys do you know it was your record? you know, Let's fast forward to where you are now, so I think I learned a lot of lessons playing blackjack that How did you overcome that challenge? And in the future, people say, you know We don't understand how you do it without All of those things that you that that actually could significantly increase the tam when you break out your binoculars I love that observation actually felt like, you know, my tradition. Yeah, the way you feel when you use these products, the senses. that's what the brand experience is becoming. Well, thank you for having me.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
JasonPERSON

0.99+

DavidPERSON

0.99+

Atlantic CityLOCATION

0.99+

JohnPERSON

0.99+

ChicagoLOCATION

0.99+

$100,000,000,000QUANTITY

0.99+

$10,000,000,000QUANTITY

0.99+

12QUANTITY

0.99+

VegasLOCATION

0.99+

1981DATE

0.99+

six monthsQUANTITY

0.99+

AmazonORGANIZATION

0.99+

EightQUANTITY

0.99+

Jon HirschtickPERSON

0.99+

40 poundQUANTITY

0.99+

AppleORGANIZATION

0.99+

Las VegasLOCATION

0.99+

BostonLOCATION

0.99+

John FurryPERSON

0.99+

John RussoPERSON

0.99+

eight decksQUANTITY

0.99+

1000QUANTITY

0.99+

TeslaORGANIZATION

0.99+

SonyORGANIZATION

0.99+

four decksQUANTITY

0.99+

second yearQUANTITY

0.99+

twiceQUANTITY

0.99+

Blade LogicORGANIZATION

0.99+

iPadCOMMERCIAL_ITEM

0.99+

FirstQUANTITY

0.99+

VerizonORGANIZATION

0.99+

Boston, MassachusettsLOCATION

0.99+

CIAORGANIZATION

0.99+

EarthLOCATION

0.99+

Onshape Inc.ORGANIZATION

0.99+

Robbie ReadyPERSON

0.99+

FiOSORGANIZATION

0.99+

millions of dollarsQUANTITY

0.99+

EmmetPERSON

0.99+

todayDATE

0.98+

thousands of handsQUANTITY

0.98+

thousands of companiesQUANTITY

0.98+

10 years agoDATE

0.98+

ChromebookCOMMERCIAL_ITEM

0.98+

a decadeQUANTITY

0.97+

Google mapTITLE

0.97+

10 2019DATE

0.97+

KarenPERSON

0.97+

MacCOMMERCIAL_ITEM

0.97+

30 years agoDATE

0.97+

PioneerORGANIZATION

0.97+

firstQUANTITY

0.96+

almost 1000 professionalsQUANTITY

0.96+

appleORGANIZATION

0.96+

19QUANTITY

0.95+

oneQUANTITY

0.95+

blackjackTITLE

0.95+

millions of usersQUANTITY

0.94+

JonahPERSON

0.94+

thousands of customerQUANTITY

0.93+

WalkmanCOMMERCIAL_ITEM

0.92+

thousands of customersQUANTITY

0.91+

twoQUANTITY

0.9+

Sony WassORGANIZATION

0.89+

$10,000,000,000 a yearQUANTITY

0.89+

30 38 yearsQUANTITY

0.85+

12 decksQUANTITY

0.85+

R.PERSON

0.85+

three dimensionsQUANTITY

0.82+

M I T.ORGANIZATION

0.82+

DysonPERSON

0.81+

I Work DayTITLE

0.8+

cath labORGANIZATION

0.8+

M I tORGANIZATION

0.8+

CubeORGANIZATION

0.78+

zerosQUANTITY

0.78+

MIT blackjack teamORGANIZATION

0.77+

Ankur Kothari, Automation Anywhere | Imagine 2019


 

>> From New York City, it's theCUBE. Covering Automation Anywhere Imagine. Brought to you by Automation Anywhere. >> We're in midtown Manhattan at Automation Anywhere Imagine 2019. It's about 1,500 people talking about RPA which is part of the story but it's really a much broader story than RPA. It's about the ecosystem, it's about new ways to work, and really, RPA is an enabler but that's not the story in and of itself. It's really about helping people do their jobs better like a whole bunch of other tools that've come out over the years to help us out. We're excited to have a return guest who was here with us last year. He's Ankur Kothari, co-founder, another co-founder and chief revenue officer of Automation Anywhere. Great to see you again. >> Always good to see you, Jeff. >> So, it's been a year since last we spoke in June. >> We've been way less on ground, a lot on the flight. >> Yeah. >> Yeah. >> And, you brought in a bunch of money. You got a lot of resources really to support you now. So, how has that kind of changed? You know, you guys have grown a lot. You've put $500 million in the bank. How's that changing what you're working on now? >> Well, we are deploying that capital in three major ways. One is global expansion. We have now grown into, we have offices now in more than 30, 35 countries, 30 plus countries. So we are getting closer to all our customers worldwide in all top 30 economies and major business hubs where we are now we have opened offices, so, that's one. We are using this capital to build our ecosystem with our partners and all the developers. And, obviously we have invested a lot in our product. Taking the product stack more and more broader which allows us to automate any process that can be automated. >> Yeah, I mean, it's a great resource that you have at your disposal now. And Mihir talked about a lot of kind of higher level topics which I found really good in the keynote, really reframing RPA and personal digital assistance, if you will, around it's just another tool to help people get their job better. And he had some ridiculously sad stats about how much time that people are being asked to do robotic tasks which they really shouldn't be doing those tasks. >> Yes. >> There's much higher value stuff. It's not really rip-and-replace, it's really augment and help people do better. >> Augmenting, yes, yes, absolutely, generally most of these journeys start with this goal of productivity and rightly so. There's nothing wrong with that but as you scale in this journey and you start working, as you onboard more digital workers, digital colleagues as we like to call it, you find that the conversation in your organization changes from productivity to progress because that's what any technological transformation is about. It's not just about productivity, it's truly about progressing your team, your company, your industry, your customers forward. >> Right. >> So, that's what you face. And the second big prize on that front is it allows you to make work human. The moment you start automating every process that can be automated, we start using computers what they were designed for, to process things and not just to be used as a system of records. >> Right. >> So, we can do what we are good at. Solving complex problems using our creativity and empathy. >> Right, one of the things I thought was really interesting was the launch of the community addition, which is free. Free for small businesses, free for developers. I can't remember if there's an academic component-- >> Yes. >> Or not, but, you know, you're the guy who's puttin' money in the cash register. I'm sure there were some interesting conversations about having a free community edition. I wonder if you can share some insight 'cause, you know, that's taking money out of the bank, but obviously there's a much larger strategic goal. >> There's a strategic goal. The problem that we are falling in love with is that what would it take for us to accelerate the journey of every company to become a digital enterprise? How do we share in this new bot economy? And, in order to do that, we have to have every person participate in this whole phenomenon. An idea as big as this can not be one company or a few individuals' ideas. So, we have opened up that whole thing for everyone to participate. The community edition allows students, developers, small businesses, everyone to download. They go to our Automation Anywhere University and they can get freely trained and certified. And they can work with a bot. And they can build a bot and form their own opinion. >> Right. >> And have their own point of view. And the belief behind that is that a good idea can come from anywhere or anyone. And those ideas, once they use our product, they can monetize it in our marketplace which is the Bot Store. >> Right. >> So, that it allows everyone to form an opinion, and contribute to this new bot economy. >> It's pretty interesting. One of the topics Mihir touched on in the keynote was that we often think of, you know, kind of applying new technology to today's world, but we often miss, you know, as he said, that now is not the station, it's the train, and it's moving. And by opening it up to developers now, as you said, you're expanding the width, the breadth, and the potential applications of your technology to problems that you guys have never even thought about before. >> Exactly, that's the real thing. We are automating processes that we are doing now but generally it's about automating what we have not even seen. >> Right. >> These processes were designed for people to do. How would a process look when bots are performing there? I live in Silicon Valley and pretty much a computer science guy working on cutting edge. If you asked me 10 years ago would I let any of my family member live in a stranger's house? I would say, no way. Airbnb is one of the largest hotel chains in the world right now. >> Right, right. >> What that tells you is that human brain mind thinks linearly unless you give them something that allows humans to think exponentially. >> Right >> And that's the whole idea of beauty of technology. It allows us to think exponentially, and once our brain stretch there, then it's not possible to go back. >> Well, the other thing I think is really smart on your play is the competition for developers' attention, right? The developers these days have a lot of power and they can choose of a myriad of technologies in which to apply themselves. So, by having this community edition and opening it up is one part, but the other piece that I think is interesting is the whole bot economy. And I think you opened up the store last time we were here last year. >> Yes. >> Now you're putting money behind it so people can sell. In fact, we had a customer on earlier who's developing some stuff but they can augment that investment by actually selling those bots into this store. >> On the Bot Store, yeah. >> So, I wonder if you can talk a little bit more about how that is evolving? Is it kind of matching your vision? Has it accelerated past your vision? >> It is accelerating much faster than what we imagined first. When we one year ago we launched our marketplace, that is Bot Store. We opened up our University for everyone to get freely trained online. Then we started our community online, which is eight people. And with this community edition, everyone is now participating in it. What that is doing is we believe that more, the one thing that all developers want, is to contribute. Their work to be used by others. >> Right. >> And then, in a Bot Store, it allows them to even monetize it. It allows them to productize it so that personal satisfaction of solving a problem is what the developers get. And such new, creative ideas we are getting once we did that. Yesterday we had Bot Games and more than 250 to 300 developers participated in different games. And they were building these bots on fly, and they were competing. And we believe that when we bring all these people together and we give them a problem, genius comes out. >> Right. >> And it has been true. >> (laughs) So the ecosystem is huge and that's part of why you have your own show. And we go to a lot of shows. We were at Google Cloud a couple weeks ago. So, there's really two components of the ecosystem, traditional ecosystem. You've got the devs we talked about. There's the system integrators and you've got them all here in force. And they don't come out unless they really see a big opportunity. >> Yes. >> And the other part is the ISVs, right? To add all these different components. So, how is that evolving? Where do you see it going over the next year or two? >> It's interesting, you saw today that there was IBM, Microsoft, and Oracle all went on stage with software partnerships, you know Workday. So, we are forming large partnerships with software and how our product works with theirs, and the digital workers are part of that whole equation. And all our service providers and SIs and advisories that've been on this journey with us for the last five to six years and they are ramping up their entire practices to get their customers to become a digital enterprise. So, you see these two different worlds coming together and all the three worlds are working together for the customer to become a digital enterprise. >> Right. >> And, that's the best part. The digital native companies like Amazon, Airbnb, they have got this right. But what about the companies who have been there for 50 years, 100 years? How do they become digital? >> Right. >> And that's a more interesting problem. If you look at the software, and all the service partners and we are working together to solve that problem. So, it's a very interesting mix, an interesting time. And add to that this whole bot economy of developers bringing all these new digital workers. We are seeing the consumption of bot, growing in an exponential way. We are growing multi-force in few months. It's been a great, great ride. >> Right, well, I want to close on that in the last question 'cause you are one of the co-founders. I think there was four founders, if I'm correct. >> Yes. >> And you guys did it a very different way. You basically funded it the best way to fund a company, which is with revenue. >> Yes. >> And customer funded and you didn't go out and get outside money and now you've got this huge round which is actually an A round. >> Yes, it's a... >> So, how does that change the game? I mean, it puts you in a very good spot 'cause you don't have to take that money 'cause you were operating fine. But how does it, from a co-founder point of view, change the trajectory of your journey? >> There is obviously a value that that kind of capital brings because you can grow asymmetrically as well. >> Right, right. >> But the real value, for me, is the five investors who are such tier A, top-tier investors, who are the right partners we have got on this journey. If you think about Goldman Sachs, and NEA, and SoftBank, and General Atlantic which is one of larger growth-- >> Pretty good roster. >> Right. So you get that expertise and you get those partnerships that allows you to think exponentially and grow very fast. So, that's the real value for me in addition to the capital. >> Well, Ankur, thanks for sharing your journey with us. It's really been fun to watch and we're just at another inflection point I think. >> Always great to see you, and again next year. We ought to do this every year. >> All right, very good. >> Bigger and bigger. >> Absolutely, thanks again. >> Thanks a lot. >> He's Ankur, I'm Jeff, you're watching theCUBE. We're at Automation Anywhere in midtown Manhattan. Thanks for watching, we'll see you next time. (upbeat electronic music)

Published Date : Apr 17 2019

SUMMARY :

Brought to you by Automation Anywhere. Great to see you again. You got a lot of resources really to support you now. We have now grown into, we have offices that you have at your disposal now. and help people do better. you find that the conversation in your organization So, that's what you face. So, we can do what we are good at. Right, one of the things I thought was really interesting I wonder if you can share some insight And, in order to do that, we have And the belief behind that So, that it allows everyone to form an opinion, but we often miss, you know, as he said, that now We are automating processes that we are doing now Airbnb is one of the largest hotel chains What that tells you is that human brain mind thinks And that's the whole idea And I think you opened up the store last time In fact, we had a customer on earlier What that is doing is we believe that more, And we believe that when we bring all these people together of why you have your own show. And the other part is the ISVs, right? for the customer to become a digital enterprise. And, that's the best part. And add to that this whole bot economy in the last question 'cause you are one of the co-founders. And you guys did it a very different way. And customer funded and you didn't go out So, how does that change the game? brings because you can grow asymmetrically as well. If you think about Goldman Sachs, and NEA, and SoftBank, that allows you to think exponentially and grow very fast. It's really been fun to watch We ought to do this every year. Thanks for watching, we'll see you next time.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
IBMORGANIZATION

0.99+

SoftBankORGANIZATION

0.99+

MicrosoftORGANIZATION

0.99+

JeffPERSON

0.99+

OracleORGANIZATION

0.99+

NEAORGANIZATION

0.99+

AmazonORGANIZATION

0.99+

AnkurPERSON

0.99+

$500 millionQUANTITY

0.99+

AirbnbORGANIZATION

0.99+

Goldman SachsORGANIZATION

0.99+

Silicon ValleyLOCATION

0.99+

Ankur KothariPERSON

0.99+

five investorsQUANTITY

0.99+

New York CityLOCATION

0.99+

General AtlanticORGANIZATION

0.99+

50 yearsQUANTITY

0.99+

last yearDATE

0.99+

100 yearsQUANTITY

0.99+

MihirPERSON

0.99+

30 plus countriesQUANTITY

0.99+

four foundersQUANTITY

0.99+

JuneDATE

0.99+

next yearDATE

0.99+

Automation AnywhereORGANIZATION

0.99+

eight peopleQUANTITY

0.99+

OneQUANTITY

0.99+

todayDATE

0.99+

one year agoDATE

0.99+

more than 30QUANTITY

0.99+

2019DATE

0.99+

one partQUANTITY

0.99+

YesterdayDATE

0.98+

one companyQUANTITY

0.98+

oneQUANTITY

0.98+

10 years agoDATE

0.98+

six yearsQUANTITY

0.98+

a yearQUANTITY

0.96+

firstQUANTITY

0.96+

three worldsQUANTITY

0.95+

30 economiesQUANTITY

0.95+

Automation Anywhere ImagineORGANIZATION

0.94+

two componentsQUANTITY

0.94+

three major waysQUANTITY

0.93+

about 1,500 peopleQUANTITY

0.92+

two different worldsQUANTITY

0.92+

couple weeks agoDATE

0.91+

midtown ManhattanLOCATION

0.9+

one thingQUANTITY

0.9+

Bot StoreTITLE

0.87+

35 countriesQUANTITY

0.86+

Google CloudORGANIZATION

0.84+

fiveQUANTITY

0.83+

more than 250 to 300 developersQUANTITY

0.82+

Bot StoreORGANIZATION

0.8+

second big prizeQUANTITY

0.73+

one of the largest hotel chainsQUANTITY

0.68+

twoDATE

0.62+

every personQUANTITY

0.61+

AutomationORGANIZATION

0.59+

lastDATE

0.56+

lastQUANTITY

0.47+

Dr. Taha Kass-Hout & Dr. Vasi Philomin, AWS | AWS re:Invent 2018


 

live from Las Vegas it's the cube covering AWS reinvent 2018 brought to you by Amazon Web Services Intel and their ecosystem partners hey welcome back everyone we're live here in Las Vegas with AWS Amazon webster's reinvent our 6th year I'm Jeff our table what they did six years two sets people rolling out of the keynote so much action we got another day coming tomorrow they're two great guests here we got dr. feci philomon is the general manager the machine learning and AI at Amazon Web Services and dr. Taha costs senior leader at healthcare and AI at Amazon guys welcome to the cube Thank You thanks itíd that you're here because I've been waiting to have this conversation Dave and I have been we just had an analysis of the distractions and glued up the stack around machine learning so much value now coming online that's been in the works around AI are really mainly machine learning that's creating a I like benefits and II just had to spend a lot of time with key nuts they almost a third of it around a I like capabilities and how Amazon integrates in from you know chipsets with elastic inference beautiful it's just good stuff so congratulations so what does it mean what does it mean for customers right now who want to kind of grok what's going on with Amazon and AI is that new sense the services coming online is that how long has been the works explaining yeah our mission at AWS has always been to take technologies that have been traditionally available for a few special technology companies and take that and make it available to all developers and we've done that I should say that we've done that fairly well when it comes to compute when it comes to storage when it comes to databases the analytics and we're doing the same thing for machine learning and AI and what we're doing because it's a new field is we've got to innovate at three layers of our stack to the bottom most layer as you saw in the keynote earlier has to do with frameworks and infrastructure so this is more for the people that fully understand how to deal with machine learning models and like to go in and tweak these models the middle layer then is for everyday developers and the data scientists and that's sort of where sage maker fits in and finally at the top layer of the stack is where we have our application services and this is meant for developers that don't want to get into the weeds of machine learning but they still want to use make use of all of these technologies to make their applications more smarter so they get the insight benefits get the insights have the day that without getting in town on the weeds exactly who want to get down in the weeds you can get down and dirty with all this other stuff yeah look at that right yeah and typically what we do with the top layer of the stack as we try and solve really hard problems and so customers can now take advantage of it because we've solved it for them and they can just take that and integrate it into their Apple quick what what's the hardest problem that you guys solve I mean traditionally speech recognition is a very hard problem that's one of the hard problems the other one is NLP natural language processing but I would say speech recognition is probably a hard problem and we just launched streaming transcription so you can now transcribe live as somebody speaks and of course you can connect it to translate and translate it as well live so great for our cute beers looking forward to having that on as a health care practitioner how does this all apply to that industry what kind of projects are you guys working on in that regard of course yeah so I mean to to posses point is want to continue to innovate on behalf of the customers across all layers of the stack machine learning in particular this week we launched Amazon comprehend medical particularly in a hardier heart problem where the majority of healthcare data is captured conversation and observations and unstructured formality so petabytes of data is stored across entire healthcare system that's a nun structure for form so to drive actionable insights and to be able to find the right elements to treat patients or to manage a population or even to do accurate billing it's been really an important that we can empower our customers with building blocks for them to build the right solutions to take advantage of that so Amazon comprehend Medical is able to understand the medical language and the context similar how clinicians understand the medical language and context for example if you're looking at a patient medical note Amazon campaign medicals able to with high accuracy extract medical conditions medications tests procedures being done on the patients as well as the relationship between those and understanding that context at this condition and this treatment go together as well as the nuances for example you know a patient has no family history of X or there's no smoking history all those are things in relation in the past or in the future or other members and this is really what we're really proud about launched an Amazon comprehend medical talk about how it works because you know I Healthcare has been a great field around where a is old-fashioned a is a queer when I wasn't doing it in the 80s early 90s ontologies were really popular and it's linguistics is kind of known but now that but you need that linguistics guru to do that he mentioned streaming the transcribed got metadata how do you guys get this kind of benefit when the balls moving so fast around these rapidly changing and verticals like healthcare because healthcare is got a big problem like other verticals where it's too many notifications what I pay attention to so much data how do you put the puzzle together let me first give you some context here as you probably we're at last reinvent we launched Amazon comprehend right comprehend is a text analytics service it helps you look into text and understand what's in there right we started out with general things that we could detect like people places things sentiment the language the text is written in and so on but when we started customers are picked on it and they're using it a lot but as they keep using it they came back to us and said hey it's great that you guys have this this you're giving us the capability to understand general language but some of our domains have some special language like jargon like yeah like take the legal domain for example right it's got charges and defendants and very particular things that are very relevant to the legal domain so they were asking us for a capability to sort of extend the comprehend to include their custom domain terms and phrases as well right so last week we actually launched a custom custom entities feature that allows them to bring in their custom domain into comprehend so the comprehend be extended to include their domain the so legal language is difficult to understand but medical language on the other hand is even more harder to understand that quick right acronyms jargon absolutely what is an entity looks like extracting that and extracting it uses alone yeah miss spells right but relating those entities together is super important because you could in one clinical note you could have multiple drugs in there with different dosages different frequencies and so you need to be able to relate those entities together right and that's the sort of thing that comprehend Medical allows our customers to do to solve some really so you're doing one of that entity extraction is under the covers is that right has it were I mean how does comprehending the medical work I mean just out of the box you have to train it there's no training meet needed know machine learning expertise needed so the algorithm extract these entities as well as the relationship between those entities and then also extracts any attributes that might be related such as negation or past and future or what's anatomy of the body relates one now all that is done out of the box and that's super important you want to know whether the patient's stopped taking a medication right yeah so negation things like that you want to know because that gives you the context just getting the terms alone doesn't really tell you much it each has had a great video about the f1 point of ethics imagine that for personal that's right you're not doing good right now take a break yeah so I feel like we're kind of now scratching the service of stress in the surface of health care yeah information yeah think about the health care industry for years it's been compliance-driven yeah whether it's hip Affordable Care Act yeah EMR and meaningful use right but the industry hasn't been you know dramatically transformed and disrupted and it kind of needs to be yeah how do you guys see that evolving I feel like you're now beginning to see that see change and that's going to take a while it's a high-risk business obviously but what's your sort of prognosis for that transformation and what's the vision as to the outcome yes now that's a really great question I mean one thing I mean one great things happen over the last decade is the digitization of your medical record so and that's really wonderful because before was all paper-based primarily unless you were an acute setting so now the majority of the US for example and globally there's this huge adopt adoption and propagation of these electronic medical records the issue there remains now when the majority of that data is observations and conversations as well as unstructured that that creates a different kind of roadblock for our customers and this is what we're hoping for service like Amazon comprehend medical that's HIPPA eligible means a lot of the early the compliance or help our customer meet their compliance needs that we'll be able to remove the heavy lifting of this undepreciated task about you know having in a large amount of time being spent on analyzing this text and extracting very low we're now with Amazon company and medical be able to really fast track that and be able to elevate it hit the nail on the head of the undifferentiated heavy lifting right that's the ethos of DevOps is that yeah let me give you some stats actually there are one point two billion medical documents that are generated every year in the US and 80% of them it's unstructured text so to make sense of that it's going to enable our customers to do some really amazing things one of the things one of the use cases that we see is its clinical trial recruitment so Fred Hutchinson which is one of the yeah the nation's top cancer research centers they recruit patients for clinical trials if you go to clinical trials.gov you'll see like 290 thousand four and 50 clinical trials open and typically from history we know that most of these clinical trials don't end up recruiting they don't end up meeting their recruiting goals because it's very hard to figure out which patients fit the clinical trial that you're actually trying to perform so comprehend medical helps these customers to very quickly narrow it down expand on the involvement of people in the community mentioned Fred hutch Roach has also been involved what I heard yeah what who was involved in this project sound it was a collaboration take a minute to explain that right I mean it's very similar to a lot of other services that we put it into the market we collaborate a lot with customers 90% of what we do is really coming from customers so we've collaborated with people like Fred hutch and some of the nation's top institutions to help us validate the service that we've built to actually make sure that its meeting sort of the requirements for those use cases that they are thinking of so we collaborate closely with them to get the service to where this today and we announced it as generally available yesterday ok so what's the use case I'll go ahead yeah I can expand a little bit some of the customers as well their use cases we're talking anywhere from hospital systems that when I use or take advantage of their unstructured text for things such as identify people who are for their follow-up appointments or stopping treatments or find an alternative routes to billers we're trying to identify it is accurate procedures were done if we account for all the procedures or care for all the billing which often time is hidden in those unstructured text and require a lot of manual process and often time the rules that can't really scale to things such as clinical trials recruitment how can you if example in Fred Hutchinson Cancer Institute use case for identify a patient and match them to the right clinical trial these patients often time have Harry Potter's worth of clinical notes down on the minute their longitudinal journey and to go from one institution another another and be able to really find it's no longer needed a haystack it's like a needle in the bottom of Atlantic Ocean and then be able to really do that match from hours and months down to a few seconds and that's really the beauty about the service John likes to talk about the 20 mile stare and I wonder if we could just look ahead how far can we take AI and machine learning in in healthcare and how far should we take it and maybe a more specific question as as a practitioner you know when do you think machines might make better diagnosis than doctors if ever how do you feel about that where do you see this all going I think I mean the whole idea about machine learning the beauty about it I mean the seta scope was introduced or how the thermometer was introduced in medicine and these are tools that we use to our advantage to really provide better care and and better outcomes and that's really what we're that's the mission that our health IT and customers and wanna are really driving tower's machine learning can do a lot of great things for routine things that human being can't can go and focus their attention to other things such as the Fred Hutchinson instead of going and mining these diagnoses in mountain amounts of data a machine learning will be able to identify that with a clinical staff can focus on care and that's really where I think I mean over the next decade and so we can see a lot of this advancement in in these building blocks as well as what Amazon's offering from forecasting and prediction algorithms Rana will be able to find you know fine-tune our capabilities to help customers achieve even precision medicine real-world impact because you're changing the workflow I mean someone's within the wrong line or the wrong process based upon their history yeah HIPPA HIPPA requirements really cause a lot of this record sharing thing to be a problem from what we've been reporting over the years it's kind of a solution to that so if I move to a service medical service I get all that records with me it's just kind of how you see going and how does other regulations that are holding you back that are blockers is that clear now how does that solve the industry challenge it's of privacy and if you look at the healthcare system today there are lots of inefficiencies in there right in the end this is all about improving patient outcomes and making sure that we reduce costs and that's what this boils down to and these are tools that allow our customers to do exactly that well guys thanks for sharing this insight comprehend medicals really awesome opportunities I think it's early days day one is you guys think right I think there's so much more that could be there I'd love to see the industry just from the personal is decided change it's just get out of the way of all these pretty broad hurdles get the data out there expose the data check the privacy box would be good right this is gonna change the game yeah maybe we should say a little bit about the how we built the service in terms of that right as you know at AWS security and privacy is number one for us right so this service is HIPAA eligible it's a stateless service what that means is nothing gets stored this is not the data is not used to improve the models or anything like that the only person that can actually see the data is the customer he's got the keys he's the only one that's sending the data to the endpoint and whatever he gets back only he can decrypt it so we've taken care to make sure that we can remove some of those hurdles that people have always been worried about well doctors take you so much for sharing thank you so much for having us here we are bringing you all the action here from 80s reinvent again as the compute power is increased as software is written with new apps a eyes changing the game of course the cube a lot of video we don't need some of these services to make these transcribes on the fly they succumb and I really appreciate it you think back on the more after this short break [Music]

Published Date : Nov 28 2018

SUMMARY :

one that's sending the data to the

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Amazon Web ServicesORGANIZATION

0.99+

Amazon Web ServicesORGANIZATION

0.99+

USLOCATION

0.99+

80%QUANTITY

0.99+

AmazonORGANIZATION

0.99+

dr. TahaPERSON

0.99+

DavePERSON

0.99+

AWSORGANIZATION

0.99+

290 thousandQUANTITY

0.99+

Las VegasLOCATION

0.99+

20 mileQUANTITY

0.99+

Atlantic OceanLOCATION

0.99+

90%QUANTITY

0.99+

JohnPERSON

0.99+

Las VegasLOCATION

0.99+

yesterdayDATE

0.99+

JeffPERSON

0.99+

Affordable Care ActTITLE

0.99+

Taha Kass-HoutPERSON

0.99+

50 clinical trialsQUANTITY

0.99+

last weekDATE

0.99+

six yearsQUANTITY

0.99+

Vasi PhilominPERSON

0.98+

6th yearQUANTITY

0.98+

Fred Hutchinson Cancer InstituteORGANIZATION

0.98+

AppleORGANIZATION

0.98+

dr. feci philomonPERSON

0.98+

two billion medical documentsQUANTITY

0.98+

HIPAATITLE

0.98+

clinical trials.govOTHER

0.98+

Fred hutch RoachORGANIZATION

0.97+

two great guestsQUANTITY

0.97+

oneQUANTITY

0.97+

todayDATE

0.97+

tomorrowDATE

0.97+

IntelORGANIZATION

0.93+

every yearQUANTITY

0.93+

80sDATE

0.92+

one thingQUANTITY

0.92+

Dr.PERSON

0.92+

firstQUANTITY

0.91+

fourQUANTITY

0.9+

this weekDATE

0.89+

Fred HutchinsonPERSON

0.88+

three layersQUANTITY

0.88+

eachQUANTITY

0.88+

Harry PotterTITLE

0.87+

one pointQUANTITY

0.84+

early 90sDATE

0.83+

Fred hutchORGANIZATION

0.82+

one clinicalQUANTITY

0.81+

HIPPATITLE

0.8+

two setsQUANTITY

0.79+

last decadeDATE

0.74+

casesQUANTITY

0.73+

petabytesQUANTITY

0.72+

NLPORGANIZATION

0.7+

RanaORGANIZATION

0.69+

DevOpsTITLE

0.69+

HutchinsonORGANIZATION

0.68+

dayQUANTITY

0.68+

FredPERSON

0.66+

a few secondsQUANTITY

0.65+

next decadeDATE

0.65+

Invent 2018EVENT

0.64+

one institutionQUANTITY

0.59+

special technologyQUANTITY

0.56+

notificationsQUANTITY

0.49+

2018EVENT

0.4+

Saar Gillai, Teridion | CUBEConversation, Sept 2018


 

(dramatic music) >> Hey, welcome back everybody. Jeff Frick here with theCUBE. We're in our Palo Alto studio for a CUBE conversation. It's really a great thing that we like to take advantage of. A little less hectic than the show world and we're right in the middle of all the shows, if you're paying attention. So we're happy to have a CUBE alumni on. He's been on many, many times. Saar Gillai , he's now the CEO of Teridion. And Saar, welcome. I don't think we've talked to you since you've been in this new role. >> Yeah, it's been about a year I think. >> Been 'about a year. So give us kind of the update on Teridion. What it's all about and really more importantly, what attracted you to the opportunity? >> Sure. First of all, great to be here. I don't know where John is. I'm looking for him. He ran away. Maybe he knew I was coming. >> Somewhere over the Atlantic I think. 35,000 feet. >> I'll follow up on that later but hey, you're here. So, you know Teridion, let's talk about maybe the challenge that Teridion is addressing first so people will understand that, right. So if you look about what's going on these days with the advent of Cloud. and how people are really accessing stuff, things have really moved in the past. Most of the important services that people access were in a data center and were accessed through the LAN so the enterprise had control over them and if you wanted to access an app, if it didn't work, somebody when into the LAN, played around with some CISCO router and things maybe got better. >> But at least you had control. >> You had control and if you look at what's happened over the last decade, but certainly in the last five years, with SAS and the Cloud. Stating the obvious, more and more of your services now are actually being accessed through your WAN and in many cases, that actually means the internet itself. If you're accessing Salesforce or Box or Ignite or any of these services. The challenge with that is that now means that a critical part of your user experience, you don't control. The vendor doesn't control because you can make the best SAS up in the world but, and those apps are increasingly very dynamic. Caching doesn't solve this problem and the problem is now, okay, but I'm experiencing it over the internet. And while the internet is a great tool obviously, it's not really built for reliabilty, consistency, and consistent speed. Reality, if you look at the internet, it was designed to sent one packet to NORAD and tell them that some nuclear missile died somewhere. That's what it was designed for right? So the packet will get there but the jitter and all these things may work and so what happens is that, now you have a consistency problem. Historically, people will say well, that's all been addressed through traditional caching and that's true. Caching still has it's place. The reality is though that caching is more for stuff that doesn't change a lot and now, it's all very dynamic. If you're uploading a file, that's not a caching activity. If you're doing something in Salesforce, it's very dynamic. It's not cached. At Teridion, we looked at this problem. Teridion's been around about four years. I've been there for about a year. We felt that the best way to solve this problem was actually to leverage some of the Cloud technology that already exists to solve it. So what we do, actually, is we build an overlay network on top of the public Cloud surface area. So instead of traditionally, the way people did things is they would build a network themselves but today the public Cloud guys honestly are spending gazillions of dollars building infrastructure. Why not leverage it the same way that you don't buy CPUs, why buy routers? What we do is we create a massive overlay network on demand on the public Cloud surface area. And public Cloud means not just Amazon or Google but also people like AliCloud, DigitalOcean, Vulture, any Cloud provider really, some Russian Cloud providers. And then we monitor the internet conditions and then we build a fast path. If you think about it almost like a ways, a fast path for your packet from wherever the customer is to your service thereby dramatically increasing the speed but also providing much higher reliabilty. >> So, lot of thoughts. If I'm hearing right, you're leveraging the public Cloud infrastructure so they're pipes, if you will. >> And they're CPUs. >> And they're CPUs but then you're putting basically waypoints on that packet's journey to reroute to a different public Cloud infrastructure for that next leg if that's more appropriate. >> Yeah, and basically what I'm doing is I'm basically just saying if there's a, if your server's here whether they're on a public Cloud or somewhere else, it doesn't matter, and a customer is here, through some redirection, I will create a router on a public Cloud so a soft router, somewhere close from a network perspective to a user and somewhere close to the server and then between them, I'll create an overlay fast path. And then, what is goes over will be based on whatever the algorithm figures out. The way we know where to go over is we also have a sensor network distributed throughout the public Cloud surface areas and it's constantly creating a heat map of where there's capacity, where there's problems, where there's jitter and we'll create a fast path. Typically that fast path will give you, one of the challenges, I'll give you an example. So let's say you're on Comcast and let's say you've got 40 meg let's say, your connection at home. And then you connect to some server and theoretically that server has much more, right? But reality is, when you do that connection, it's not going to be 40 meg. Sometimes it's 5 meg, okay? So we'll typically give you almost your full capacity that you have from your first provider all the way there by creating this fast path. >> So how does it compare, we hear things about like Direct Connect between Equinix and Amazon or a lot of peer relationships that get set up. How does what you're doing kind o' compare, contrast, play, compare to those solutions? >> Direct Connect is sort of a static connection. If you have an office and you want to have a Direct Connection, it's got advantages and it's useful in certain areas. Part of the challenge there is that first of all, it has a static capacity. It's static and it has a certain capacity. What we do, because it's completely software oriented, is we'll create a connection and if you want more capacity, we'll just create more routers. So you can have as much capacity as you want from wherever you want where with Direct Connect, you say I want this connection, this connection, this much capacity and it's static. So if you have something very static, then that may be a good solution for you but if you're trying to reach people at other places and it's dynamic, and also you want variable capacities. For example, let's say you say I want to pay for what I use. I don't want to pay for a line. Historically, when you're using these things, you say okay, if the maximum I may want is 40 meg, you say okay, give me a 40 meg line. That's expensive. >> Right, right. >> But what if you say I want 40 meg only for a few hours a day right? So in my case, you just say look, I want to do this many terabytes. And if you want to do it at 40 meg, do it at 40 meg. It doesn't matter. So it's much more dynamic and this lends itself more to the modern way of people thinking of things. Like the same way you used to own a server and you had to buy the strongest server you needed for the end of the month because maybe the finance guy needed to run something. Today you don't do that right? You just go to public Cloud and when it's the end of the month, you get more CPUs. We're the same thing. You just set a connection. If you need more capacity, then you'll get more capacity that you need. We had a customer that we were working with that was doing some mobile stuff in China and all of a sudden, they needed to do 600,000 connections a minute from China. And so we just scaled up. You don't have to preconfigure any of this stuff. >> Right, right. So that's really where you make the comparison of public Cloud for networking because you guys are leveraging public Cloud infrastructure, you're software based so that you can flex so you don't have the old model. >> It's completely elastic, like I said. It's very similar. Our view is the compute in the last decade, obviously, compute has moved from a very static I own everything mode to let's use dynamic resources as much as possible. Of course, there's been a lot of advantage to that. Why wouldn't your connectivity, especially your connectivity outside which is increasing your connectivity also use that paradigm. Why do you need to own all this stuff? >> Right, right. As you said before we turned the cameras on the value proposition to your customers who are the people that basically run these big apps, is the fact that they don't have to worry about that but net is just flat out faster to execute the simple operations like uploading or downloading something to BOX. >> And again, you mentioned BOX, they're one of our big customers and we have a massive network if you thing about how much BOX uploads in a given day, right? 'Cause there's a lot of there traffic that goes through us. But if you think about these SAS providers, they really need to focus on making their app as good as possible and advancing it and making it as sophisticated as possible and so, the problem is then there's this last edge which is from their server all the way to the customer, they don't really control. But that is really important to the customer experience, right? If you're trying to upload something to BOX or trying to use some website and it's really slow, your user experience is bad. It doesn't matter if it's the internet's fault. You're still as a customer, So this gives them control. They give us that ability and then we have control that we can give it much faster speed. Typically in the US, it may be two to five times faster. If you're going outside the US, it could be much faster sometimes. In China, we go 15 times faster. But also, it's consistent and if you have issues, we have a knock, we monitor, we can go look at it. If some customer says I have a problem, right? We'll immediately be able to say okay, here's the problem. Maybe there's a server issue and so forth as opposed to them saying I have a problem and the SAS vendor saying well, it's fine on our side. >> Right, right. So, I'm curious on your go to market. Obviously, you said BOX is a example of a customer. You've got some other ones on the website. Who are these big application service providers, that term came up the other day, like flashback to 1990. 1998 >> I call them SAS >> It's funny, we were talking about the old days. >> To me, it's all the same, as a service guy. >> But then, as you go to market then going to include going out directly through the public Clouds in some of their exchanges so that basically, I could just buy a faster throughput with the existing service. Where do you go from here? I imagine, who doesn't want faster internet service period? >> Yeah, we started off going to the people who have the biggest challenge and easier to work with a small company right? You want to work with a few big guys. They also help you design your solution, make sure it's good. If you can run BOX and Traffic and Ignite. Traffic can probably handle other things, last year for example. We are looking at potentially providing some of the service, for example, if you're accessing S3 for example, we can access S3 at least three times faster. So we are looking potentially at putting something on the web where you could just go to Amazon and sign up for that. The other thing that we're looking at, which is later in the year, probably is that we haven't gotten a lot of requests from people that said hey, since the WAN is the new LAN, right, and they want to also try to use this technology for their enterprise WAN between branch offices where SD-WAN is sort of playing today, we've gotten a lot of requests to leverage this technology also in SD-WAN and so we're also looking at how that could potentially play out because again, people just say look, why can't I use this for all my WAN connectivity? Why is it only for SAS connectivity? >> Right, right. I mean it makes sense. Again, who doesn't want, the network never goes fast enough, right? Never, never, never. >> It's not only speed. I agree with you but it's not only speed. What you find, what people take for granted in the LAN but they only notice it when now they're running over the LAN is that it's a business critical service. So you want it to be consistent. If it's up, it needs to have latency, jitter, control. It needs to be consistent. It can't be one second it's great, the next second it's bad and you don't know why and visibility. No one's ever had that problem. >> I'm just laughing. I'm thinking of our favorite Comcast here. If they're not a customer, you need to get them on your list. Help make some introductions hopefully. >> So, people take that for granted when they're LAN and then when they move to the Cloud, they just assume that it's going to continue but it doesn't actually work that way. Then they get people from branch offices complaining that they couldn't upload a doc or the sales person was slow and all these problems happen and the bigger issue is, not only is this a problem, you don't have control. As a person providing a service, you want to have control all the way so you can say "yeah, I can see it. "I'm fixing it for you here. "I fixed it for you." And so it's about creating that connection and making it business critical. >> It's just a funny thing that we see over and over and over where cutting edge and brand new quickly becomes expected behavior very, very quickly. The best delivery by the best service, suddenly you have an expectation that that's going to be consistent across all your experiences with all your apps. So you got to deliver that QS. >> Yeah, and I think the other thing that we notice, of course, is because of the explosion of data right? It's true that the internet's capacity is growing but data is growing faster because people want to do more because CPUs are stronger, your handset is stronger and so, so much of it is dynamic. Like I said before, historically, some of this was solved by just let's cache everything. But today, everything is dynamic. It's bidirectional and the caching technology doesn't do that. It's not built for that. It's a different type of network. It's not built for this kind of capacity so as more and more stuff is dynamic, it becomes difficult to do these things and that's really where we play. And again, I think the key is that historically, you had to build everything. But the same way that you have all these SAS providers not building everything themselves but just building the app and then running on top of the public Cloud. The same thing is why would I go build a network when the public Cloud is investing a hundred billion dollars a year in building massive infrastructure. >> Yeah, and they are, big infrastructure. Well Saar, thanks for giving us the update and stopping by and we will watch the story unfold. >> Great to be here. >> Alright. And we'll send John a message. >> I'll have to track him down. >> Alright, he's Saar, I'm Jeff. You're watching theCUBE. It's a CUBE conversation at our Palo Alto Studio. Thanks for watching. We'll see you next time. (dramatic music)

Published Date : Sep 27 2018

SUMMARY :

I don't think we've talked to you what attracted you to the opportunity? First of all, great to be here. Somewhere over the Atlantic I think. and if you wanted to access an app, and the problem is now, okay, but so they're pipes, if you will. to reroute to a different that you have from your first compare to those solutions? and if you want more capacity, Like the same way you used to own a server so you don't have the old model. Why do you need to own all this stuff? the value proposition to your customers and if you have issues, we have a knock, Obviously, you said BOX is talking about the old days. To me, it's all the But then, as you go to the web where you could just go the network never goes fast enough, right? and you don't know why and visibility. you need to get them on your list. all the way so you can So you got to deliver that QS. But the same way that you and stopping by and we will And we'll send John a message. We'll see you next time.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
JohnPERSON

0.99+

15 timesQUANTITY

0.99+

JeffPERSON

0.99+

ChinaLOCATION

0.99+

Jeff FrickPERSON

0.99+

ComcastORGANIZATION

0.99+

SaarPERSON

0.99+

AmazonORGANIZATION

0.99+

Saar GillaiPERSON

0.99+

USLOCATION

0.99+

EquinixORGANIZATION

0.99+

twoQUANTITY

0.99+

GoogleORGANIZATION

0.99+

TeridionPERSON

0.99+

Palo AltoLOCATION

0.99+

S3TITLE

0.99+

35,000 feetQUANTITY

0.99+

Sept 2018DATE

0.99+

last yearDATE

0.99+

1998DATE

0.99+

1990DATE

0.99+

DigitalOceanORGANIZATION

0.99+

VultureORGANIZATION

0.99+

CISCOORGANIZATION

0.99+

CUBEORGANIZATION

0.99+

five timesQUANTITY

0.99+

one packetQUANTITY

0.99+

first providerQUANTITY

0.99+

AliCloudORGANIZATION

0.99+

SASORGANIZATION

0.99+

gazillions of dollarsQUANTITY

0.98+

TodayDATE

0.98+

todayDATE

0.98+

40 megQUANTITY

0.98+

5 megQUANTITY

0.98+

AtlanticLOCATION

0.97+

oneQUANTITY

0.97+

one secondQUANTITY

0.97+

TeridionORGANIZATION

0.96+

Palo Alto StudioLOCATION

0.96+

last decadeDATE

0.96+

about a yearQUANTITY

0.96+

FirstQUANTITY

0.94+

600,000 connections a minuteQUANTITY

0.93+

firstQUANTITY

0.92+

about four yearsQUANTITY

0.92+

last five yearsDATE

0.91+

IgniteORGANIZATION

0.9+

SalesforceTITLE

0.9+

RussianOTHER

0.9+

BoxORGANIZATION

0.89+

a hundred billion dollars a yearQUANTITY

0.87+

theCUBEORGANIZATION

0.86+

NORADORGANIZATION

0.83+

SASTITLE

0.82+

SalesforceORGANIZATION

0.81+

Direct ConnectOTHER

0.79+

few hours a dayQUANTITY

0.76+

three timesQUANTITY

0.72+

CloudTITLE

0.68+

ConnectOTHER

0.5+

Lenovo Transform 2.0 Keynote | Lenovo Transform 2018


 

(electronic dance music) (Intel Jingle) (ethereal electronic dance music) ♪ Okay ♪ (upbeat techno dance music) ♪ Oh oh oh oh ♪ ♪ Oh oh oh oh ♪ ♪ Oh oh oh oh oh ♪ ♪ Oh oh oh oh ♪ ♪ Oh oh oh oh oh ♪ ♪ Take it back take it back ♪ ♪ Take it back ♪ ♪ Take it back take it back ♪ ♪ Take it back ♪ ♪ Take it back take it back ♪ ♪ Yeah everybody get loose yeah ♪ ♪ Yeah ♪ ♪ Ye-yeah yeah ♪ ♪ Yeah yeah ♪ ♪ Everybody everybody yeah ♪ ♪ Whoo whoo ♪ ♪ Whoo whoo ♪ ♪ Whoo yeah ♪ ♪ Everybody get loose whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ >> As a courtesy to the presenters and those around you, please silence all mobile devices, thank you. (electronic dance music) ♪ Everybody get loose ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ (upbeat salsa music) ♪ Ha ha ha ♪ ♪ Ah ♪ ♪ Ha ha ha ♪ ♪ So happy ♪ ♪ Whoo whoo ♪ (female singer scatting) >> Ladies and gentlemen, please take your seats. Our program will begin momentarily. ♪ Hey ♪ (female singer scatting) (male singer scatting) ♪ Hey ♪ ♪ Whoo ♪ (female singer scatting) (electronic dance music) ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ Red red red red ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ Red red red red ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ Red red red red ♪ ♪ Red don't go ♪ ♪ All hands are in don't go ♪ ♪ In don't go ♪ ♪ Oh red go ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ Red red red red ♪ ♪ All hands are red don't go ♪ ♪ All hands are in red red red red ♪ ♪ All hands are in don't go ♪ ♪ All hands are in red go ♪ >> Ladies and gentlemen, there are available seats. Towards house left, house left there are available seats. If you are please standing, we ask that you please take an available seat. We will begin momentarily, thank you. ♪ Let go ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ (upbeat electronic dance music) ♪ Just make me ♪ ♪ Just make me ♪ ♪ Just make me ♪ ♪ Just make me ♪ ♪ Just make me ♪ ♪ I live ♪ ♪ Just make me ♪ ♪ Just make me ♪ ♪ Hey ♪ ♪ Yeah ♪ ♪ Oh ♪ ♪ Ah ♪ ♪ Ah ah ah ah ah ah ♪ ♪ Just make me ♪ ♪ Just make me ♪ (bouncy techno music) >> Ladies and gentlemen, once again we ask that you please take the available seats to your left, house left, there are many available seats. If you are standing, please make your way there. The program will begin momentarily, thank you. Good morning! This is Lenovo Transform 2.0! (keyboard clicks) >> Progress. Why do we always talk about it in the future? When will it finally get here? We don't progress when it's ready for us. We need it when we're ready, and we're ready now. Our hospitals and their patients need it now, our businesses and their customers need it now, our cities and their citizens need it now. To deliver intelligent transformation, we need to build it into the products and solutions we make every day. At Lenovo, we're designing the systems to fight disease, power businesses, and help you reach more customers, end-to-end security solutions to protect your data and your companies reputation. We're making IT departments more agile and cost efficient. We're revolutionizing how kids learn with VR. We're designing smart devices and software that transform the way you collaborate, because technology shouldn't just power industries, it should power people. While everybody else is talking about tomorrow, we'll keep building today, because the progress we need can't wait for the future. >> Please welcome to the stage Lenovo's Rod Lappen! (electronic dance music) (audience applauding) >> Alright. Good morning everyone! >> Good morning. >> Ooh, that was pretty good actually, I'll give it one more shot. Good morning everyone! >> Good morning! >> Oh, that's much better! Hope everyone's had a great morning. Welcome very much to the second Lenovo Transform event here in New York. I think when I got up just now on the steps I realized there's probably one thing in common all of us have in this room including myself which is, absolutely no one has a clue what I'm going to say today. So, I'm hoping very much that we get through this thing very quickly and crisply. I love this town, love New York, and you're going to hear us talk a little bit about New York as we get through here, but just before we get started I'm going to ask anyone who's standing up the back, there are plenty of seats down here, and down here on the right hand side, I think he called it house left is the professional way of calling it, but these steps to my right, your left, get up here, let's get you all seated down so that you can actually sit down during the keynote session for us. Last year we had our very first Lenovo Transform. We had about 400 people. It was here in New York, fantastic event, today, over 1,000 people. We have over 62 different technology demonstrations and about 15 breakout sessions, which I'll talk you through a little bit later on as well, so it's a much bigger event. Next year we're definitely going to be shooting for over 2,000 people as Lenovo really transforms and starts to address a lot of the technology that our commercial customers are really looking for. We were however hampered last year by a storm, I don't know if those of you who were with us last year will remember, we had a storm on the evening before Transform last year in New York, and obviously the day that it actually occurred, and we had lots of logistics. Our media people from AMIA were coming in. They took the, the plane was circling around New York for a long time, and Kamran Amini, our General Manager of our Data Center Infrastructure Group, probably one of our largest groups in the Lenovo DCG business, took 17 hours to get from Raleigh, North Carolina to New York, 17 hours, I think it takes seven or eight hours to drive. Took him 17 hours by plane to get here. And then of course this year, we have Florence. And so, obviously the hurricane Florence down there in the Carolinas right now, we tried to help, but still Kamran has made it today. Unfortunately, very tragically, we were hoping he wouldn't, but he's here today to do a big presentation a little bit later on as well. However, I do want to say, obviously, Florence is a very serious tragedy and we have to take it very serious. We got, our headquarters is in Raleigh, North Carolina. While it looks like the hurricane is just missing it's heading a little bit southeast, all of our thoughts and prayers and well wishes are obviously with everyone in the Carolinas on behalf of Lenovo, everyone at our headquarters, everyone throughout the Carolinas, we want to make sure everyone stays safe and out of harm's way. We have a great mixture today in the crowd of all customers, partners, industry analysts, media, as well as our financial analysts from all around the world. There's over 30 countries represented here and people who are here to listen to both YY, Kirk, and Christian Teismann speak today. And so, it's going to be a really really exciting day, and I really appreciate everyone coming in from all around the world. So, a big round of applause for everyone whose come in. (audience applauding) We have a great agenda for you today, and it starts obviously a very consistent format which worked very successful for us last year, and that's obviously our keynote. You'll hear from YY, our CEO, talk a little bit about the vision he has in the industry and how he sees Lenovo's turned the corner and really driving some great strategy to address our customer's needs. Kirk Skaugen, our Executive Vice President of DCG, will be up talking about how we've transformed the DCG business and once again are hitting record growth ratios for our DCG business. And then you'll hear from Christian Teismann, our SVP and General Manager for our commercial business, get up and talk about everything that's going on in our IDG business. There's really exciting stuff going on there and obviously ThinkPad being the cornerstone of that I'm sure he's going to talk to us about a couple surprises in that space as well. Then we've got some great breakout sessions, I mentioned before, 15 breakout sessions, so while this keynote section goes until about 11:30, once we get through that, please go over and explore, and have a look at all of the breakout sessions. We have all of our subject matter experts from both our PC, NBG, and our DCG businesses out to showcase what we're doing as an organization to better address your needs. And then obviously we have the technology pieces that I've also spoken about, 62 different technology displays there arranged from everything IoT, 5G, NFV, everything that's really cool and hot in the industry right now is going to be on display up there, and I really encourage all of you to get up there. So, I'm going to have a quick video to show you from some of the setup yesterday on a couple of the 62 technology displays we've got on up on stage. Okay let's go, so we've got a demonstrations to show you today, one of the greats one here is the one we've done with NC State, a high-performance computing artificial intelligence demonstration of fresh produce. It's about modeling the population growth of the planet, and how we're going to supply water and food as we go forward. Whoo. Oh, that is not an apple. Okay. (woman laughs) Second one over here is really, hey Jonas, how are you? Is really around virtual reality, and how we look at one of the most amazing sites we've got, as an install on our high-performance computing practice here globally. And you can see, obviously, that this is the Barcelona supercomputer, and, where else in New York can you get access to being able to see something like that so easily? Only here at Lenovo Transform. Whoo, okay. (audience applauding) So there's two examples of some of the technology. We're really encouraging everyone in the room after the keynote to flow into that space and really get engaged, and interact with a lot of the technology we've got up there. It seems I need to also do something about my fashion, I've just realized I've worn a vest two days in a row, so I've got to work on that as well. Alright so listen, the last thing on the agenda, we've gone through the breakout sessions and the demo, tonight at four o'clock, there's about 400 of you registered to be on the cruise boat with us, the doors will open behind me. the boat is literally at the pier right behind us. You need to make sure you're on the boat for 4:00 p.m. this evening. Outside of that, I want everyone to have a great time today, really enjoy the experience, make it as experiential as you possibly can, get out there and really get in and touch the technology. There's some really cool AI displays up there for us all to get involved in as well. So ladies and gentlemen, without further adieu, it gives me great pleasure to introduce to you a lover of tennis, as some of you would've heard last year at Lenovo Transform, as well as a lover of technology, Lenovo, and of course, New York City. I am obviously very pleasured to introduce to you Yang Yuanqing, our CEO, as we like to call him, YY. (audience applauding) (upbeat funky music) >> Good morning, everyone. >> Good morning. >> Thank you Rod for that introduction. Welcome to New York City. So, this is the second year in a row we host our Transform event here, because New York is indeed one of the most transformative cities in the world. Last year on this stage, I spoke about the Fourth Industrial Revolution, and our vision around the intelligent transformation, how it would fundamentally change the nature of business and the customer relationships. And why preparing for this transformation is the key for the future of our company. And in the last year I can assure you, we were being very busy doing just that, from searching and bringing global talents around the world to the way we think about every product and every investment we make. I was here in New York just a month ago to announce our fiscal year Q1 earnings, which was a good day for us. I think now the world believes it when we say Lenovo has truly turned the corner to a new phase of growth and a new phase of acceleration in executing the transformation strategy. That's clear to me is that the last few years of a purposeful disruption at Lenovo have led us to a point where we can now claim leadership of the coming intelligent transformation. People often asked me, what is the intelligent transformation? I was saying this way. This is the unlimited potential of the Fourth Industrial Revolution driven by artificial intelligence being realized, ordering a pizza through our speaker, and locking the door with a look, letting your car drive itself back to your home. This indeed reflect the power of AI, but it just the surface of it. The true impact of AI will not only make our homes smarter and offices more efficient, but we are also completely transformed every value chip in every industry. However, to realize these amazing possibilities, we will need a structure built around the key components, and one that touches every part of all our lives. First of all, explosions in new technology always lead to new structures. This has happened many times before. In the early 20th century, thousands of companies provided a telephone service. City streets across the US looked like this, and now bundles of a microscopic fiber running from city to city bring the world closer together. Here's what a driving was like in the US, up until 1950s. Good luck finding your way. (audience laughs) And today, millions of vehicles are organized and routed daily, making the world more efficient. Structure is vital, from fiber cables and the interstate highways, to our cells bounded together to create humans. Thankfully the structure for intelligent transformation has emerged, and it is just as revolutionary. What does this new structure look like? We believe there are three key building blocks, data, computing power, and algorithms. Ever wondered what is it behind intelligent transformation? What is fueling this miracle of human possibility? Data. As the Internet becomes ubiquitous, not only PCs, mobile phones, have come online and been generating data. Today it is the cameras in this room, the climate controls in our offices, or the smart displays in our kitchens at home. The number of smart devices worldwide will reach over 20 billion in 2020, more than double the number in 2017. These devices and the sensors are connected and generating massive amount of data. By 2020, the amount of data generated will be 57 times more than all the grains of sand on Earth. This data will not only make devices smarter, but will also fuel the intelligence of our homes, offices, and entire industries. Then we need engines to turn the fuel into power, and the engine is actually the computing power. Last but not least the advanced algorithms combined with Big Data technology and industry know how will form vertical industrial intelligence and produce valuable insights for every value chain in every industry. When these three building blocks all come together, it will change the world. At Lenovo, we have each of these elements of intelligent transformations in a single place. We have built our business around the new structure of intelligent transformation, especially with mobile and the data center now firmly part of our business. I'm often asked why did you acquire these businesses? Why has a Lenovo gone into so many fields? People ask the same questions of the companies that become the leaders of the information technology revolution, or the third industrial transformation. They were the companies that saw the future and what the future required, and I believe Lenovo is the company today. From largest portfolio of devices in the world, leadership in the data center field, to the algorithm-powered intelligent vertical solutions, and not to mention the strong partnership Lenovo has built over decades. We are the only company that can unify all these essential assets and deliver end to end solutions. Let's look at each part. We now understand the important importance data plays as fuel in intelligent transformation. Hundreds of billions of devices and smart IoTs in the world are generating better and powering the intelligence. Who makes these devices in large volume and variety? Who puts these devices into people's home, offices, manufacturing lines, and in their hands? Lenovo definitely has the front row seats here. We are number one in PCs and tablets. We also produces smart phones, smart speakers, smart displays. AR/VR headsets, as well as commercial IoTs. All of these smart devices, or smart IoTs are linked to each other and to the cloud. In fact, we have more than 20 manufacturing facilities in China, US, Brazil, Japan, India, Mexico, Germany, and more, producing various devices around the clock. We actually make four devices every second, and 37 motherboards every minute. So, this factory located in my hometown, Hu-fi, China, is actually the largest laptop factory in the world, with more than three million square feet. So, this is as big as 42 soccer fields. Our scale and the larger portfolio of devices gives us access to massive amount of data, which very few companies can say. So, why is the ability to scale so critical? Let's look again at our example from before. The early days of telephone, dozens of service providers but only a few companies could survive consolidation and become the leader. The same was true for the third Industrial Revolution. Only a few companies could scale, only a few could survive to lead. Now the building blocks of the next revolution are locking into place. The (mumbles) will go to those who can operate at the scale. So, who could foresee the total integration of cloud, network, and the device, need to deliver intelligent transformation. Lenovo is that company. We are ready to scale. Next, our computing power. Computing power is provided in two ways. On one hand, the modern supercomputers are providing the brute force to quickly analyze the massive data like never before. On the other hand the cloud computing data centers with the server storage networking capabilities, and any computing IoT's, gateways, and miniservers are making computing available everywhere. Did you know, Lenovo is number one provider of super computers worldwide? 170 of the top 500 supercomputers, run on Lenovo. We hold 89 World Records in key workloads. We are number one in x86 server reliability for five years running, according to ITIC. a respected provider of industry research. We are also the fastest growing provider of hyperscale public cloud, hyper-converged and aggressively growing in edge computing. cur-ges target, we are expand on this point soon. And finally to run these individual nodes into our symphony, we must transform the data and utilize the computing power with advanced algorithms. Manufactured, industry maintenance, healthcare, education, retail, and more, so many industries are on the edge of intelligent transformation to improve efficiency and provide the better products and services. We are creating advanced algorithms and the big data tools combined with industry know-how to provide intelligent vertical solutions for several industries. In fact, we studied at Lenovo first. Our IT and research teams partnered with our global supply chain to develop an AI that improved our demand forecasting accuracy. Beyond managing our own supply chain we have offered our deep learning supply focused solution to other manufacturing companies to improve their efficiency. In the best case, we have improved the demand, focused the accuracy by 30 points to nearly 90 percent, for Baosteel, the largest of steel manufacturer in China, covering the world as well. Led by Lenovo research, we launched the industry-leading commercial ready AR headset, DaystAR, partnering with companies like the ones in this room. This technology is being used to revolutionize the way companies service utility, and even our jet engines. Using our workstations, servers, and award-winning imaging processing algorithms, we have partnered with hospitals to process complex CT scan data in minutes. So, this enable the doctors to more successfully detect the tumors, and it increases the success rate of cancer diagnosis all around the world. We are also piloting our smart IoT driven warehouse solution with one of the world's largest retail companies to greatly improve the efficiency. So, the opportunities are endless. This is where Lenovo will truly shine. When we combine the industry know-how of our customers with our end-to-end technology offerings, our intelligent vertical solutions like this are growing, which Kirk and Christian will share more. Now, what will drive this transformation even faster? The speed at which our networks operate, specifically 5G. You may know that Lenovo just launched the first-ever 5G smartphone, our Moto Z3, with the new 5G Moto model. We are partnering with multiple major network providers like Verizon, China Mobile. With the 5G model scheduled to ship early next year, we will be the first company to provide a 5G mobile experience to any users, customers. This is amazing innovation. You don't have to buy a new phone, just the 5G clip on. What can I say, except wow. (audience laughs) 5G is 10 times the fast faster than 4G. Its download speed will transform how people engage with the world, driverless car, new types of smart wearables, gaming, home security, industrial intelligence, all will be transformed. Finally, accelerating with partners, as ready as we are at Lenovo, we need partners to unlock our full potential, partners here to create with us the edge of the intelligent transformation. The opportunities of intelligent transformation are too profound, the scale is too vast. No company can drive it alone fully. We are eager to collaborate with all partners that can help bring our vision to life. We are dedicated to open partnerships, dedicated to cross-border collaboration, unify the standards, share the advantage, and market the synergies. We partner with the biggest names in the industry, Intel, Microsoft, AMD, Qualcomm, Google, Amazon, and Disney. We also find and partner with the smaller innovators as well. We're building the ultimate partner experience, open, shared, collaborative, diverse. So, everything is in place for intelligent transformation on a global scale. Smart devices are everywhere, the infrastructure is in place, networks are accelerating, and the industries demand to be more intelligent, and Lenovo is at the center of it all. We are helping to drive change with the hundreds of companies, companies just like yours, every day. We are your partner for intelligent transformation. Transformation never stops. This is what you will hear from Kirk, including details about Lenovo NetApp global partnership we just announced this morning. We've made the investments in every single aspect of the technology. We have the end-to-end resources to meet your end-to-end needs. As you attend the breakout session this afternoon, I hope you see for yourself how much Lenovo has transformed as a company this past year, and how we truly are delivering a future of intelligent transformation. Now, let me invite to the stage Kirk Skaugen, our president of Data Center growth to tell you about the exciting transformation happening in the global Data C enter market. Thank you. (audience applauding) (upbeat music) >> Well, good morning. >> Good morning. >> Good morning! >> Good morning! >> Excellent, well, I'm pleased to be here this morning to talk about how we're transforming the Data Center and taking you as our customers through your own intelligent transformation journey. Last year I stood up here at Transform 1.0, and we were proud to announce the largest Data Center portfolio in Lenovo's history, so I thought I'd start today and talk about the portfolio and the progress that we've made over the last year, and the strategies that we have going forward in phase 2.0 of Lenovo's transformation to be one of the largest data center companies in the world. We had an audacious vision that we talked about last year, and that is to be the most trusted data center provider in the world, empowering customers through the new IT, intelligent transformation. And now as the world's largest supercomputer provider, giving something back to humanity, is very important this week with the hurricanes now hitting North Carolina's coast, but we take this most trusted aspect very seriously, whether it's delivering the highest quality products on time to you as customers with the highest levels of security, or whether it's how we partner with our channel partners and our suppliers each and every day. You know we're in a unique world where we're going from hundreds of millions of PCs, and then over the next 25 years to hundred billions of connected devices, so each and every one of you is going through this intelligent transformation journey, and in many aspects were very early in that cycle. And we're going to talk today about our role as the largest supercomputer provider, and how we're solving humanity's greatest challenges. Last year we talked about two special milestones, the 25th anniversary of ThinkPad, but also the 25th anniversary of Lenovo with our IBM heritage in x86 computing. I joined the workforce in 1992 out of college, and the IBM first personal server was launching at the same time with an OS2 operating system and a free mouse when you bought the server as a marketing campaign. (audience laughing) But what I want to be very clear today, is that the innovation engine is alive and well at Lenovo, and it's really built on the culture that we're building as a company. All of these awards at the bottom are things that we earned over the last year at Lenovo. As a Fortune now 240 company, larger than companies like Nike, or AMEX, or Coca-Cola. The one I'm probably most proud of is Forbes first list of the top 2,000 globally regarded companies. This was something where 15,000 respondents in 60 countries voted based on ethics, trustworthiness, social conduct, company as an employer, and the overall company performance, and Lenovo was ranked number 27 of 2000 companies by our peer group, but we also now one of-- (audience applauding) But we also got a perfect score in the LGBTQ Equality Index, exemplifying the diversity internally. We're number 82 in the top working companies for mothers, top working companies for fathers, top 100 companies for sustainability. If you saw that factory, it's filled with solar panels on the top of that. And now again, one of the top global brands in the world. So, innovation is built on a customer foundation of trust. We also said last year that we'd be crossing an amazing milestone. So we did, over the last 12 months ship our 20 millionth x86 server. So, thank you very much to our customers for this milestone. (audience applauding) So, let me recap some of the transformation elements that have happened over the last year. Last year I talked about a lot of brand confusion, because we had the ThinkServer brand from the legacy Lenovo, the System x, from IBM, we had acquired a number of networking companies, like BLADE Network Technologies, et cetera, et cetera. Over the last year we've been ramping based on two brand structures, ThinkAgile for next generation IT, and all of our software-defined infrastructure products and ThinkSystem as the world's highest performance, highest reliable x86 server brand, but for servers, for storage, and for networking. We have transformed every single aspect of the customer experience. A year and a half ago, we had four different global channel programs around the world. Typically we're about twice the mix to our channel partners of any of our competitors, so this was really important to fix. We now have a single global Channel program, and have technically certified over 11,000 partners to be technical experts on our product line to deliver better solutions to our customer base. Gardner recently recognized Lenovo as the 26th ranked supply chain in the world. And, that's a pretty big honor, when you're up there with Amazon and Walmart and others, but in tech, we now are in the top five supply chains. You saw the factory network from YY, and today we'll be talking about product shipping in more than 160 countries, and I know there's people here that I've met already this morning, from India, from South Africa, from Brazil and China. We announced new Premier Support services, enabling you to go directly to local language support in nine languages in 49 countries in the world, going directly to a native speaker level three support engineer. And today we have more than 10,000 support specialists supporting our products in over 160 countries. We've delivered three times the number of engineered solutions to deliver a solutions orientation, whether it's on HANA, or SQL Server, or Oracle, et cetera, and we've completely reengaged our system integrator channel. Last year we had the CIO of DXE on stage, and here we're talking about more than 175 percent growth through our system integrator channel in the last year alone as we've brought that back and really built strong relationships there. So, thank you very much for amazing work here on the customer experience. (audience applauding) We also transformed our leadership. We thought it was extremely important with a focus on diversity, to have diverse talent from the legacy IBM, the legacy Lenovo, but also outside the industry. We made about 19 executive changes in the DCG group. This is the most senior leadership team within DCG, all which are newly on board, either from our outside competitors mainly over the last year. About 50 percent of our executives were now hired internally, 50 percent externally, and 31 percent of those new executives are diverse, representing the diversity of our global customer base and gender. So welcome, and most of them you're going to be able to meet over here in the breakout sessions later today. (audience applauding) But some things haven't changed, they're just keeping getting better within Lenovo. So, last year I got up and said we were committed with the new ThinkSystem brand to be a world performance leader. You're going to see that we're sponsoring Ducati for MotoGP. You saw the Ferrari out there with Formula One. That's not a surprise. We want the Lenovo ThinkSystem and ThinkAgile brands to be synonymous with world record performance. So in the last year we've gone from 39 to 89 world records, and partners like Intel would tell you, we now have four times the number of world record workloads on Lenovo hardware than any other server company on the planet today, with more than 89 world records across HPC, Java, database, transaction processing, et cetera. And we're proud to have just brought on Doug Fisher from Intel Corporation who had about 10-17,000 people on any given year working for him in workload optimizations across all of our software. It's just another testament to the leadership team we're bringing in to keep focusing on world-class performance software and solutions. We also per ITIC, are the number one now in x86 server reliability five years running. So, this is a survey where CIOs are in a blind survey asked to submit their reliability of their uptime on their x86 server equipment over the last 365 days. And you can see from 2016 to 2017 the downtime, there was over four hours as noted by the 750 CXOs in more than 20 countries is about one percent for the Lenovo products, and is getting worse generation from generation as we went from Broadwell to Pearlie. So we're taking our reliability, which was really paramount in the IBM System X heritage, and ensuring that we don't just recognize high performance but we recognize the highest level of reliability for mission-critical workloads. And what that translates into is that we at once again have been ranked number one in customer satisfaction from you our customers in 19 of 22 attributes, in North America in 18 of 22. This is a survey by TVR across hundreds of customers of us and our top competitors. This is the ninth consecutive study that we've been ranked number one in customer satisfaction, so we're taking this extremely seriously, and in fact YY now has increased the compensation of every single Lenovo employee. Up to 40 percent of their compensation bonus this year is going to be based on customer metrics like quality, order to ship, and things of this nature. So, we're really putting every employee focused on customer centricity this year. So, the summary on Transform 1.0 is that every aspect of what you knew about Lenovo's data center group has transformed, from the culture to the branding to dedicated sales and marketing, supply chain and quality groups, to a worldwide channel program and certifications, to new system integrator relationships, and to the new leadership team. So, rather than me just talk about it, I thought I'd share a quick video about what we've done over the last year, if you could run the video please. Turn around for a second. (epic music) (audience applauds) Okay. So, thank you to all our customers that allowed us to publicly display their logos in that video. So, what that means for you as investors, and for the investor community out there is, that our customers have responded, that this year Gardner just published that we are the fastest growing server company in the top 10, with 39 percent growth quarter-on-quarter, and 49 percent growth year-on-year. If you look at the progress we've made since the transformation the last three quarters publicly, we've grown 17 percent, then 44 percent, then 68 percent year on year in revenue, and I can tell you this quarter I'm as confident as ever in the financials around the DCG group, and it hasn't been in one area. You're going to see breakout sessions from hyperscale, software-defined, and flash, which are all growing more than a 100 percent year-on-year, supercomputing which we'll talk about shortly, now number one, and then ultimately from profitability, delivering five consecutive quarters of pre-tax profit increase, so I think, thank you very much to the customer base who's been working with us through this transformation journey. So, you're here to really hear what's next on 2.0, and that's what I'm excited to talk about today. Last year I came up with an audacious goal that we would become the largest supercomputer company on the planet by 2020, and this graph represents since the acquisition of the IBM System x business how far we were behind being the number one supercomputer. When we started we were 182 positions behind, even with the acquisition for example of SGI from HP, we've now accomplished our goal actually two years ahead of time. We're now the largest supercomputer company in the world. About one in every four supercomputers, 117 on the list, are now Lenovo computers, and you saw in the video where the universities are said, but I think what I'm most proud of is when your customers rank you as the best. So the awards at the bottom here, are actually Readers Choice from the last International Supercomputing Show where the scientific researchers on these computers ranked their vendors, and we were actually rated the number one server technology in supercomputing with our ThinkSystem SD530, and the number one storage technology with our ThinkSystem DSS-G, but more importantly what we're doing with the technology. You're going to see we won best in life sciences, best in data analytics, and best in collaboration as well, so you're going to see all of that in our breakout sessions. As you saw in the video now, 17 of the top 25 research institutions in the world are now running Lenovo supercomputers. And again coming from Raleigh and watching that hurricane come across the Atlantic, there are eight supercomputers crunching all of those models you see from Germany to Malaysia to Canada, and we're happy to have a SciNet from University of Toronto here with us in our breakout session to talk about what they're doing on climate modeling as well. But we're not stopping there. We just announced our new Neptune warm water cooling technology, which won the International Supercomputing Vendor Showdown, the first time we've won that best of show in 25 years, and we've now installed this. We're building out LRZ in Germany, the first ever warm water cooling in Peking University, at the India Space Propulsion Laboratory, at the Malaysian Weather and Meteorological Society, at Uninett, at the largest supercomputer in Norway, T-Systems, University of Birmingham. This is truly amazing technology where we're actually using water to cool the machine to deliver a significantly more energy-efficient computer. Super important, when we're looking at global warming and some of the electric bills can be millions of dollars just for one computer, and could actually power a small city just with the technology from the computer. We've built AI centers now in Morrisville, Stuttgart, Taipei, and Beijing, where customers can bring their AI workloads in with experts from Intel, from Nvidia, from our FPGA partners, to work on their workloads, and how they can best implement artificial intelligence. And we also this year launched LICO which is Lenovo Intelligent Compute Orchestrator software, and it's a software solution that simplifies the management and use of distributed clusters in both HPC and AI model development. So, what it enables you to do is take a single cluster, and run both HPC and AI workloads on it simultaneously, delivering better TCO for your environment, so check out LICO as well. A lot of the customers here and Wall Street are very excited and using it already. And we talked about solving humanity's greatest challenges. In the breakout session, you're going to have a virtual reality experience where you're going to be able to walk through what as was just ranked the world's most beautiful data center, the Barcelona Supercomputer. So, you can actually walk through one of the largest supercomputers in the world from Barcelona. You can see the work we're doing with NC State where we're going to have to grow the food supply of the world by 50 percent, and there's not enough fresh water in the world in the right places to actually make all those crops grow between now and 2055, so you're going to see the progression of how they're mapping the entire globe and the water around the world, how to build out the crop population over time using AI. You're going to see our work with Vestas is this largest supercomputer provider in the wind turbine areas, how they're working on wind energy, and then with University College London, how they're working on some of the toughest particle physics calculations in the world. So again, lots of opportunity here. Take advantage of it in the breakout sessions. Okay, let me transition to hyperscale. So in hyperscale now, we have completely transformed our business model. We are now powering six of the top 10 hyperscalers in the world, which is a significant difference from where we were two years ago. And the reason we're doing that, is we've coined a term called ODM+. We believe that hyperscalers want more procurement power than an ODM, and Lenovo is doing about $18 billion of procurement a year. They want a broader global supply chain that they can get from a local system integrator. We're more than 160 countries around the world, but they want the same world-class quality and reliability like they get from an MNC. So, what we're doing now is instead of just taking off the shelf motherboards from somewhere, we're starting with a blank sheet of paper, we're working with the customer base on customized SKUs and you can see we already are developing 33 custom solutions for the largest hyperscalers in the world. And then we're not just running notebooks through this factory where YY said, we're running 37 notebook boards a minute, we're now putting in tens and tens and tens of thousands of server board capacity per month into this same factory, so absolutely we can compete with the most aggressive ODM's in the world, but it's not just putting these things in in the motherboard side, we're also building out these systems all around the world, India, Brazil, Hungary, Mexico, China. This is an example of a new hyperscale customer we've had this last year, 34,000 servers we delivered in the first six months. The next 34,000 servers we delivered in 68 days. The next 34,000 servers we delivered in 35 days, with more than 99 percent on-time delivery to 35 data centers in 14 countries as diverse as South Africa, India, China, Brazil, et cetera. And I'm really ashamed to say it was 99.3, because we did have a forklift driver who rammed their forklift right through the middle of the one of the server racks. (audience laughing) At JFK Airport that we had to respond to, but I think this gives you a perspective of what it is to be a top five global supply chain and technology. So last year, I said we would invest significantly in IP, in joint ventures, and M and A to compete in software defined, in networking, and in storage, so I wanted to give you an update on that as well. Our newest software-defined partnership is with Cloudistics, enabling a fully composable cloud infrastructure. It's an exclusive agreement, you can see them here. I think Nag, our founder, is going to be here today, with a significant Lenovo investment in the company. So, this new ThinkAgile CP series delivers the simplicity of the public cloud, on-premise with exceptional support and a marketplace of essential enterprise applications all with a single click deployment. So simply put, we're delivering a private cloud with a premium experience. It's simple in that you need no specialists to deploy it. An IT generalist can set it up and manage it. It's agile in that you can provision dozens of workloads in minutes, and it's transformative in that you get all of the goodness of public cloud on-prem in a private cloud to unlock opportunity for use. So, we're extremely excited about the ThinkAgile CP series that's now shipping into the marketplace. Beyond that we're aggressively ramping, and we're either doubling, tripling, or quadrupling our market share as customers move from traditional server technology to software-defined technology. With Nutanix we've been public, growing about more than 150 percent year-on-year, with Nutanix as their fastest growing Nutanix partner, but today I want to set another audacious goal. I believe we cannot just be Nutanix's fastest growing partner but we can become their largest partner within two years. On Microsoft, we are already four times our market share on Azure stack of our traditional business. We were the first to launch our ThinkAgile on Broadwell and on Skylake with the Azure Stack Infrastructure. And on VMware we're about twice our market segment share. We were the first to deliver an Intel-optimized Optane-certified VSAN node. And with Optane technology, we're delivering 50 percent more VM density than any competitive SSD system in the marketplace, about 10 times lower latency, four times the performance of any SSD system out there, and Lenovo's first to market on that. And at VMworld you saw CEO Pat Gelsinger of VMware talked about project dimension, which is Edge as a service, and we're the only OEM beyond the Dell family that is participating today in project dimension. Beyond that you're going to see a number of other partnerships we have. I'm excited that we have the city of Bogota Columbia here, an eight million person city, where we announced a 3,000 camera video surveillance solution last month. With pivot three you're going to see city of Bogota in our breakout sessions. You're going to see a new partnership with Veeam around backup that's launching today. You're going to see partnerships with scale computing in IoT and hyper-converged infrastructure working on some of the largest retailers in the world. So again, everything out in the breakout session. Transitioning to storage and data management, it's been a great year for Lenovo, more than a 100 percent growth year-on-year, 2X market growth in flash arrays. IDC just reported 30 percent growth in storage, number one in price performance in the world and the best HPC storage product in the top 500 with our ThinkSystem DSS G, so strong coverage, but I'm excited today to announce for Transform 2.0 that Lenovo is launching the largest data management and storage portfolio in our 25-year data center history. (audience applauding) So a year ago, the largest server portfolio, becoming the largest fastest growing server OEM, today the largest storage portfolio, but as you saw this morning we're not doing it alone. Today Lenovo and NetApp, two global powerhouses are joining forces to deliver a multi-billion dollar global alliance in data management and storage to help customers through their intelligent transformation. As the fastest growing worldwide server leader and one of the fastest growing flash array and data management companies in the world, we're going to deliver more choice to customers than ever before, global scale that's never been seen, supply chain efficiencies, and rapidly accelerating innovation and solutions. So, let me unwrap this a little bit for you and talk about what we're announcing today. First, it's the largest portfolio in our history. You're going to see not just storage solutions launching today but a set of solution recipes from NetApp that are going to make Lenovo server and NetApp or Lenovo storage work better together. The announcement enables Lenovo to go from covering 15 percent of the global storage market to more than 90 percent of the global storage market and distribute these products in more than 160 countries around the world. So we're launching today, 10 new storage platforms, the ThinkSystem DE and ThinkSystem DM platforms. They're going to be centrally managed, so the same XClarity management that you've been using for server, you can now use across all of your storage platforms as well, and it'll be supported by the same 10,000 plus service personnel that are giving outstanding customer support to you today on the server side. And we didn't come up with this in the last month or the last quarter. We're announcing availability in ordering today and shipments tomorrow of the first products in this portfolio, so we're excited today that it's not just a future announcement but something you as customers can take advantage of immediately. (audience applauding) The second part of the announcement is we are announcing a joint venture in China. Not only will this be a multi-billion dollar global partnership, but Lenovo will be a 51 percent owner, NetApp a 49 percent owner of a new joint venture in China with the goal of becoming in the top three storage companies in the largest data and storage market in the world. We will deliver our R and D in China for China, pooling our IP and resources together, and delivering a single route to market through a complementary channel, not just in China but worldwide. And in the future I just want to tell everyone this is phase one. There is so much exciting stuff. We're going to be on the stage over the next year talking to you about around integrated solutions, next-generation technologies, and further synergies and collaborations. So, rather than just have me talk about it, I'd like to welcome to the stage our new partner NetApp and Brad Anderson who's the senior vice president and general manager of NetApp Cloud Infrastructure. (upbeat music) (audience applauding) >> Thank You Kirk. >> So Brad, we've known each other a long time. It's an exciting day. I'm going to give you the stage and allow you to say NetApp's perspective on this announcement. >> Very good, thank you very much, Kirk. Kirk and I go back to I think 1994, so hey good morning and welcome. My name is Brad Anderson. I manage the Cloud Infrastructure Group at NetApp, and I am honored and privileged to be here at Lenovo Transform, particularly today on today's announcement. Now, you've heard a lot about digital transformation about how companies have to transform their IT to compete in today's global environment. And today's announcement with the partnership between NetApp and Lenovo is what that's all about. This is the joining of two global leaders bringing innovative technology in a simplified solution to help customers modernize their IT and accelerate their global digital transformations. Drawing on the strengths of both companies, Lenovo's high performance compute world-class supply chain, and NetApp's hybrid cloud data management, hybrid flash and all flash storage solutions and products. And both companies providing our customers with the global scale for them to be able to meet their transformation goals. At NetApp, we're very excited. This is a quote from George Kurian our CEO. George spent all day yesterday with YY and Kirk, and would have been here today if it hadn't been also our shareholders meeting in California, but I want to just convey how excited we are for all across NetApp with this partnership. This is a partnership between two companies with tremendous market momentum. Kirk took you through all the amazing results that Lenovo has accomplished, number one in supercomputing, number one in performance, number one in x86 reliability, number one in x86 customers sat, number five in supply chain, really impressive and congratulations. Like Lenovo, NetApp is also on a transformation journey, from a storage company to the data authority in hybrid cloud, and we've seen some pretty impressive momentum as well. Just last week we became number one in all flash arrays worldwide, catching EMC and Dell, and we plan to keep on going by them, as we help customers modernize their their data centers with cloud connected flash. We have strategic partnerships with the largest hyperscalers to provide cloud native data services around the globe and we are having success helping our customers build their own private clouds with just, with a new disruptive hyper-converged technology that allows them to operate just like hyperscalers. These three initiatives has fueled NetApp's transformation, and has enabled our customers to change the world with data. And oh by the way, it has also fueled us to have meet or have beaten Wall Street's expectations for nine quarters in a row. These are two companies with tremendous market momentum. We are also building this partnership for long term success. We think about this as phase one and there are two important components to phase one. Kirk took you through them but let me just review them. Part one, the establishment of a multi-year commitment and a collaboration agreement to offer Lenovo branded flash products globally, and as Kurt said in 160 countries. Part two, the formation of a joint venture in PRC, People's Republic of China, that will provide long term commitment, joint product development, and increase go-to-market investment to meet the unique needs to China. Both companies will put in storage technologies and storage expertise to form an independent JV that establishes a data management company in China for China. And while we can dream about what phase two looks like, our entire focus is on making phase one incredibly successful and I'm pleased to repeat what Kirk, is that the first products are orderable and shippable this week in 160 different countries, and you will see our two companies focusing on the here and now. On our joint go to market strategy, you'll see us working together to drive strategic alignment, focused execution, strong governance, and realistic expectations and milestones. And it starts with the success of our customers and our channel partners is job one. Enabling customers to modernize their legacy IT with complete data center solutions, ensuring that our customers get the best from both companies, new offerings the fuel business success, efficiencies to reinvest in game-changing initiatives, and new solutions for new mission-critical applications like data analytics, IoT, artificial intelligence, and machine learning. Channel partners are also top of mind for both our two companies. We are committed to the success of our existing and our future channel partners. For NetApp channel partners, it is new pathways to new segments and to new customers. For Lenovo's channel partners, it is the competitive weapons that now allows you to compete and more importantly win against Dell, EMC, and HP. And the good news for both companies is that our channel partner ecosystem is highly complementary with minimal overlap. Today is the first day of a very exciting partnership, of a partnership that will better serve our customers today and will provide new opportunities to both our companies and to our partners, new products to our customers globally and in China. I am personally very excited. I will be on the board of the JV. And so, I look forward to working with you, partnering with you and serving you as we go forward, and with that, I'd like to invite Kirk back up. (audience applauding) >> Thank you. >> Thank you. >> Well, thank you, Brad. I think it's an exciting overview, and these products will be manufactured in China, in Mexico, in Hungary, and around the world, enabling this amazing supply chain we talked about to deliver in over 160 countries. So thank you Brad, thank you George, for the amazing partnership. So again, that's not all. In Transform 2.0, last year, we talked about the joint ventures that were coming. I want to give you a sneak peek at what you should expect at future Lenovo events around the world. We have this Transform in Beijing in a couple weeks. We'll then be repeating this in 20 different locations roughly around the world over the next year, and I'm excited probably more than ever about what else is coming. Let's talk about Telco 5G and network function virtualization. Today, Motorola phones are certified on 46 global networks. We launched the world's first 5G upgradable phone here in the United States with Verizon. Lenovo DCG sells to 58 telecommunication providers around the world. At Mobile World Congress in Barcelona and Shanghai, you saw China Telecom and China Mobile in the Lenovo booth, China Telecom showing a video broadband remote access server, a VBRAS, with video streaming demonstrations with 2x less jitter than they had seen before. You saw China Mobile with a virtual remote access network, a VRAN, with greater than 10 times the throughput and 10x lower latency running on Lenovo. And this year, we'll be launching a new NFV company, a software company in China for China to drive the entire NFV stack, delivering not just hardware solutions, but software solutions, and we've recently hired a new CEO. You're going to hear more about that over the next several quarters. Very exciting as we try to drive new economics into the networks to deliver these 20 billion devices. We're going to need new economics that I think Lenovo can uniquely deliver. The second on IoT and edge, we've integrated on the device side into our intelligent devices group. With everything that's going to consume electricity computes and communicates, Lenovo is in a unique position on the device side to take advantage of the communications from Motorola and being one of the largest device companies in the world. But this year, we're also going to roll out a comprehensive set of edge gateways and ruggedized industrial servers and edge servers and ISP appliances for the edge and for IoT. So look for that as well. And then lastly, as a service, you're going to see Lenovo delivering hardware as a service, device as a service, infrastructure as a service, software as a service, and hardware as a service, not just as a glorified leasing contract, but with IP, we've developed true flexible metering capability that enables you to scale up and scale down freely and paying strictly based on usage, and we'll be having those announcements within this fiscal year. So Transform 2.0, lots to talk about, NetApp the big news of the day, but a lot more to come over the next year from the Data Center group. So in summary, I'm excited that we have a lot of customers that are going to be on stage with us that you saw in the video. Lots of testimonials so that you can talk to colleagues of yourself. Alamos Gold from Canada, a Canadian gold producer, Caligo for data optimization and privacy, SciNet, the largest supercomputer we've ever put into North America, and the largest in Canada at the University of Toronto will be here talking about climate change. City of Bogota again with our hyper-converged solutions around smart city putting in 3,000 cameras for criminal detection, license plate detection, et cetera, and then more from a channel mid market perspective, Jerry's Foods, which is from my home state of Wisconsin, and Minnesota which has about 57 stores in the specialty foods market, and how they're leveraging our IoT solutions as well. So again, about five times the number of demos that we had last year. So in summary, first and foremost to the customers, thank you for your business. It's been a great journey and I think we're on a tremendous role. You saw from last year, we're trying to build credibility with you. After the largest server portfolio, we're now the fastest-growing server OEM per Gardner, number one in performance, number one in reliability, number one in customer satisfaction, number one in supercomputing. Today, the largest storage portfolio in our history, with the goal of becoming the fastest growing storage company in the world, top three in China, multibillion-dollar collaboration with NetApp. And the transformation is going to continue with new edge gateways, edge servers, NFV solutions, telecommunications infrastructure, and hardware as a service with dynamic metering. So thank you for your time. I've looked forward to meeting many of you over the next day. We appreciate your business, and with that, I'd like to bring up Rod Lappen to introduce our next speaker. Rod? (audience applauding) >> Thanks, boss, well done. Alright ladies and gentlemen. No real secret there. I think we've heard why I might talk about the fourth Industrial Revolution in data and exactly what's going on with that. You've heard Kirk with some amazing announcements, obviously now with our NetApp partnership, talk about 5G, NFV, cloud, artificial intelligence, I think we've hit just about all the key hot topics. It's with great pleasure that I now bring up on stage Mr. Christian Teismann, our senior vice president and general manager of commercial business for both our PCs and our IoT business, so Christian Teismann. (techno music) Here, take that. >> Thank you. I think I'll need that. >> Okay, Christian, so obviously just before we get down, you and I last year, we had a bit of a chat about being in New York. >> Exports. >> You were an expat in New York for a long time. >> That's true. >> And now, you've moved from New York. You're in Munich? >> Yep. >> How does that feel? >> Well Munich is a wonderful city, and it's a great place to live and raise kids, but you know there's no place in the world like New York. >> Right. >> And I miss it a lot, quite frankly. >> So what exactly do you miss in New York? >> Well there's a lot of things in New York that are unique, but I know you spent some time in Japan, but I still believe the best sushi in the world is still in New York City. (all laughing) >> I will beg to differ. I will beg to differ. I think Mr. Guchi-san from Softbank is here somewhere. He will get up an argue very quickly that Japan definitely has better sushi than New York. But obviously you know, it's a very very special place, and I have had sushi here, it's been fantastic. What about Munich? Anything else that you like in Munich? >> Well I mean in Munich, we have pork knuckles. >> Pork knuckles. (Christian laughing) Very similar sushi. >> What is also very fantastic, but we have the real, the real Oktoberfest in Munich, and it starts next week, mid-September, and I think it's unique in the world. So it's very special as well. >> Oktoberfest. >> Yes. >> Unfortunately, I'm not going this year, 'cause you didn't invite me, but-- (audience chuckling) How about, I think you've got a bit of a secret in relation to Oktoberfest, probably not in Munich, however. >> It's a secret, yes, but-- >> Are you going to share? >> Well I mean-- >> See how I'm putting you on the spot? >> In the 10 years, while living here in New York, I was a regular visitor of the Oktoberfest at the Lower East Side in Avenue C at Zum Schneider, where I actually met my wife, and she's German. >> Very good. So, how about a big round of applause? (audience applauding) Not so much for Christian, but more I think, obviously for his wife, who obviously had been drinking and consequently ended up with you. (all laughing) See you later, mate. >> That's the beauty about Oktoberfest, but yes. So first of all, good morning to everybody, and great to be back here in New York for a second Transform event. New York clearly is the melting pot of the world in terms of culture, nations, but also business professionals from all kind of different industries, and having this event here in New York City I believe is manifesting what we are trying to do here at Lenovo, is transform every aspect of our business and helping our customers on the journey of intelligent transformation. Last year, in our transformation on the device business, I talked about how the PC is transforming to personalized computing, and we've made a lot of progress in that journey over the last 12 months. One major change that we have made is we combined all our device business under one roof. So basically PCs, smart devices, and smart phones are now under the roof and under the intelligent device group. But from my perspective makes a lot of sense, because at the end of the day, all devices connect in the modern world into the cloud and are operating in a seamless way. But we are also moving from a device business what is mainly a hardware focus historically, more and more also into a solutions business, and I will give you during my speech a little bit of a sense of what we are trying to do, as we are trying to bring all these components closer together, and specifically also with our strengths on the data center side really build end-to-end customer solution. Ultimately, what we want to do is make our business, our customer's businesses faster, safer, and ultimately smarter as well. So I want to look a little bit back, because I really believe it's important to understand what's going on today on the device side. Many of us have still grown up with phones with terminals, ultimately getting their first desktop, their first laptop, their first mobile phone, and ultimately smartphone. Emails and internet improved our speed, how we could operate together, but still we were defined by linear technology advances. Today, the world has changed completely. Technology itself is not a limiting factor anymore. It is how we use technology going forward. The Internet is pervasive, and we are not yet there that we are always connected, but we are nearly always connected, and we are moving to the stage, that everything is getting connected all the time. Sharing experiences is the most driving force in our behavior. In our private life, sharing pictures, videos constantly, real-time around the world, with our friends and with our family, and you see the same behavior actually happening in the business life as well. Collaboration is the number-one topic if it comes down to workplace, and video and instant messaging, things that are coming from the consumer side are dominating the way we are operating in the commercial business as well. Most important beside technology, that a new generation of workforce has completely changed the way we are working. As the famous workforce the first generation of Millennials that have now fully entered in the global workforce, and the next generation, it's called Generation Z, is already starting to enter the global workforce. By 2025, 75 percent of the world's workforce will be composed out of two of these generations. Why is this so important? These two generations have been growing up using state-of-the-art IT technology during their private life, during their education, school and study, and are taking these learnings and taking these behaviors in the commercial workspace. And this is the number one force of change that we are seeing in the moment. Diverse workforces are driving this change in the IT spectrum, and for years in many of our customers' focus was their customer focus. Customer experience also in Lenovo is the most important thing, but we've realized that our own human capital is equally valuable in our customer relationships, and employee experience is becoming a very important thing for many of our customers, and equally for Lenovo as well. As you have heard YY, as we heard from YY, Lenovo is focused on intelligent transformation. What that means for us in the intelligent device business is ultimately starting with putting intelligence in all of our devices, smartify every single one of our devices, adding value to our customers, traditionally IT departments, but also focusing on their end users and building products that make their end users more productive. And as a world leader in commercial devices with more than 33 percent market share, we can solve problems been even better than any other company in the world. So, let's talk about transformation of productivity first. We are in a device-led world. Everything we do is connected. There's more interaction with devices than ever, but also with spaces who are increasingly becoming smart and intelligent. YY said it, by 2020 we have more than 20 billion connected devices in the world, and it will grow exponentially from there on. And users have unique personal choices for technology, and that's very important to recognize, and we call this concept a digital wardrobe. And it means that every single end-user in the commercial business is composing his personal wardrobe on an ongoing basis and is reconfiguring it based on the work he's doing and based where he's going and based what task he is doing. I would ask all of you to put out all the devices you're carrying in your pockets and in your bags. You will see a lot of you are using phones, tablets, laptops, but also cameras and even smartwatches. They're all different, but they have one underlying technology that is bringing it all together. Recognizing digital wardrobe dynamics is a core factor for us to put all the devices under one roof in IDG, one business group that is dedicated to end-user solutions across mobile, PC, but also software services and imaging, to emerging technologies like AR, VR, IoT, and ultimately a AI as well. A couple of years back there was a big debate around bring-your-own-device, what was called consumerization. Today consumerization does not exist anymore, because consumerization has happened into every single device we build in our commercial business. End users and commercial customers today do expect superior display performance, superior audio, microphone, voice, and touch quality, and have it all connected and working seamlessly together in an ease of use space. We are already deep in the journey of personalized computing today. But the center point of it has been for the last 25 years, the mobile PC, that we have perfected over the last 25 years, and has been the undisputed leader in mobility computing. We believe in the commercial business, the ThinkPad is still the core device of a digital wardrobe, and we continue to drive the success of the ThinkPad in the marketplace. We've sold more than 140 million over the last 26 years, and even last year we exceeded nearly 11 million units. That is about 21 ThinkPads per minute, or one Thinkpad every three seconds that we are shipping out in the market. It's the number one commercial PC in the world. It has gotten countless awards but we felt last year after Transform we need to build a step further, in really tailoring the ThinkPad towards the need of the future. So, we announced a new line of X1 Carbon and Yoga at CES the Consumer Electronics Show. And the reason is not we want to sell to consumer, but that we do recognize that a lot of CIOs and IT decision makers need to understand what consumers are really doing in terms of technology to make them successful. So, let's take a look at the video. (suspenseful music) >> When you're the number one business laptop of all time, your only competition is yourself. (wall shattering) And, that's different. Different, like resisting heat, ice, dust, and spills. Different, like sharper, brighter OLA display. The trackpoint that reinvented controls, and a carbon fiber roll cage to protect what's inside, built by an engineering and design team, doing the impossible for the last 25 years. This is the number one business laptop of all time, but it's not a laptop. It's a ThinkPad. (audience applauding) >> Thank you very much. And we are very proud that Lenovo ThinkPad has been selected as the best laptop in the world in the second year in a row. I think it's a wonderful tribute to what our engineers have been done on this one. And users do want awesome displays. They want the best possible audio, voice, and touch control, but some users they want more. What they want is super power, and I'm really proud to announce our newest member of the X1 family, and that's the X1 extreme. It's exceptionally featured. It has six core I9 intel chipset, the highest performance you get in the commercial space. It has Nvidia XTX graphic, it is a 4K UHD display with HDR with Dolby vision and Dolby Atmos Audio, two terabyte in SSD, so it is really the absolute Ferrari in terms of building high performance commercial computer. Of course it has touch and voice, but it is one thing. It has so much performance that it serves also a purpose that is not typical for commercial, and I know there's a lot of secret gamers also here in this room. So you see, by really bringing technology together in the commercial space, you're creating productivity solutions of one of a kind. But there's another category of products from a productivity perspective that is incredibly important in our commercial business, and that is the workstation business . Clearly workstations are very specifically designed computers for very advanced high-performance workloads, serving designers, architects, researchers, developers, or data analysts. And power and performance is not just about the performance itself. It has to be tailored towards the specific use case, and traditionally these products have a similar size, like a server. They are running on Intel Xeon technology, and they are equally complex to manufacture. We have now created a new category as the ultra mobile workstation, and I'm very proud that we can announce here the lightest mobile workstation in the industry. It is so powerful that it really can run AI and big data analysis. And with this performance you can go really close where you need this power, to the sensors, into the cars, or into the manufacturing places where you not only wannna read the sensors but get real-time analytics out of these sensors. To build a machine like this one you need customers who are really challenging you to the limit. and we're very happy that we had a customer who went on this journey with us, and ultimately jointly with us created this product. So, let's take a look at the video. (suspenseful music) >> My world involves pathfinding both the hardware needs to the various work sites throughout the company, and then finding an appropriate model of desktop, laptop, or workstation to match those needs. My first impressions when I first seen the ThinkPad P1 was I didn't actually believe that we could get everything that I was asked for inside something as small and light in comparison to other mobile workstations. That was one of the I can't believe this is real sort of moments for me. (engine roars) >> Well, it's better than general when you're going around in the wind tunnel, which isn't alway easy, and going on a track is not necessarily the best bet, so having a lightweight very powerful laptop is extremely useful. It can take a Xeon processor, which can support ECC from when we try to load a full car, and when we're analyzing live simulation results. through and RCFT post processor or example. It needs a pretty powerful machine. >> It's come a long way to be able to deliver this. I hate to use the word game changer, but it is that for us. >> Aston Martin has got a lot of different projects going. There's some pretty exciting projects and a pretty versatile range coming out. Having Lenovo as a partner is certainly going to ensure that future. (engine roars) (audience applauds) >> So, don't you think the Aston Martin design and the ThinkPad design fit very well together? (audience laughs) So if Q, would get a new laptop, I think you would get a ThinkPad X P1. So, I want to switch gears a little bit, and go into something in terms of productivity that is not necessarily on top of the mind or every end user but I believe it's on top of the mind of every C-level executive and of every CEO. Security is the number one threat in terms of potential risk in your business and the cost of cybersecurity is estimated by 2020 around six trillion dollars. That's more than the GDP of Japan and we've seen a significant amount of data breach incidents already this years. Now, they're threatening to take companies out of business and that are threatening companies to lose a huge amount of sensitive customer data or internal data. At Lenovo, we are taking security very, very seriously, and we run a very deep analysis, around our own security capabilities in the products that we are building. And we are announcing today a new brand under the Think umbrella that is called ThinkShield. Our goal is to build the world's most secure PC, and ultimately the most secure devices in the industry. And when we looked at this end-to-end, there is no silver bullet around security. You have to go through every aspect where security breaches can potentially happen. That is why we have changed the whole organization, how we look at security in our device business, and really have it grouped under one complete ecosystem of solutions, Security is always something where you constantly are getting challenged with the next potential breach the next potential technology flaw. As we keep innovating and as we keep integrating, a lot of our partners' software and hardware components into our products. So for us, it's really very important that we partner with companies like Intel, Microsoft, Coronet, Absolute, and many others to really as an example to drive full encryption on all the data seamlessly, to have multi-factor authentication to protect your users' identity, to protect you in unsecured Wi-Fi locations, or even simple things like innovation on the device itself, to and an example protect the camera, against usage with a little thing like a thinkShutter that you can shut off the camera. SO what I want to show you here, is this is the full portfolio of ThinkShield that we are announcing today. This is clearly not something I can even read to you today, but I believe it shows you the breadth of security management that we are announcing today. There are four key pillars in managing security end-to-end. The first one is your data, and this has a lot of aspects around the hardware and the software itself. The second is identity. The third is the security around online, and ultimately the device itself. So, there is a breakout on security and ThinkShield today, available in the afternoon, and encourage you to really take a deeper look at this one. The first pillar around productivity was the device, and around the device. The second major pillar that we are seeing in terms of intelligent transformation is the workspace itself. Employees of a new generation have a very different habit how they work. They split their time between travel, working remotely but if they do come in the office, they expect a very different office environment than what they've seen in the past in cubicles or small offices. They come into the office to collaborate, and they want to create ideas, and they really work in cross-functional teams, and they want to do it instantly. And what we've seen is there is a huge amount of investment that companies are doing today in reconfiguring real estate reconfiguring offices. And most of these kind of things are moving to a digital platform. And what we are doing, is we want to build an entire set of solutions that are just focused on making the workspace more productive for remote workforce, and to create technology that allow people to work anywhere and connect instantly. And the core of this is that we need to be, the productivity of the employee as high as possible, and make it for him as easy as possible to use these kind of technologies. Last year in Transform, I announced that we will enter the smart office space. By the end of last year, we brought the first product into the market. It's called the Hub 500. It's already deployed in thousands of our customers, and it's uniquely focused on Microsoft Skype for Business, and making meeting instantly happen. And the product is very successful in the market. What we are announcing today is the next generation of this product, what is the Hub 700, what has a fantastic audio quality. It has far few microphones, and it is usable in small office environment, as well as in major conference rooms, but the most important part of this new announcement is that we are also announcing a software platform, and this software platform allows you to run multiple video conferencing software solutions on the same platform. Many of you may have standardized for one software solution or for another one, but as you are moving in a world of collaborating instantly with partners, customers, suppliers, you always will face multiple software standards in your company, and Lenovo is uniquely positioned but providing a middleware platform for the device to really enable multiple of these UX interfaces. And there's more to come and we will add additional UX interfaces on an ongoing base, based on our customer requirements. But this software does not only help to create a better experience and a higher productivity in the conference room or the huddle room itself. It really will allow you ultimately to manage all your conference rooms in the company in one instance. And you can run AI technologies around how to increase productivity utilization of your entire conference room ecosystem in your company. You will see a lot more devices coming from the node in this space, around intelligent screens, cameras, and so on, and so on. The idea is really that Lenovo will become a core provider in the whole movement into the smart office space. But it's great if you have hardware and software that is really supporting the approach of modern IT, but one component that Kirk also mentioned is absolutely critical, that we are providing this to you in an as a service approach. Get it what you want, when you need it, and pay it in the amount that you're really using it. And within UIT there is also I think a new philosophy around IT management, where you're much more focused on the value that you are consuming instead of investing into technology. We are launched as a service two years back and we already have a significant number of customers running PC as a service, but we believe as a service will stretch far more than just the PC device. It will go into categories like smart office. It might go even into categories like phone, and it will definitely go also in categories like storage and server in terms of capacity management. I want to highlight three offerings that we are also displaying today that are sort of building blocks in terms of how we really run as a service. The first one is that we collaborated intensively over the last year with Microsoft to be the launch pilot for their Autopilot offering, basically deploying images easily in the same approach like you would deploy a new phone on the network. The purpose really is to make new imaging and enabling new PC as seamless as it's used to be in the phone industry, and we have a complete set of offerings, and already a significant number customers have deployed Autopilot with Lenovo. The second major offering is Premier Support, like in the in the server business, where Premier Support is absolutely critical to run critical infrastructure, we see a lot of our customers do want to have Premier Support for their end users, so they can be back into work basically instantly, and that you have the highest possible instant repair on every single device. And then finally we have a significant amount of time invested into understanding how the software as a service really can get into one philosophy. And many of you already are consuming software as a service in many different contracts from many different vendors, but what we've created is one platform that really can manage this all together. All these things are the foundation for a device as a service offering that really can manage this end-to-end. So, implementing an intelligent workplace can be really a daunting prospect depending on where you're starting from, and how big your company ultimately is. But how do you manage the transformation of technology workspace if you're present in 50 or more countries and you run an infrastructure for more than 100,000 people? Michelin, famous for their tires, infamous for their Michelin star restaurant rating, especially in New York, and instantly recognizable by the Michelin Man, has just doing that. Please welcome with me Damon McIntyre from Michelin to talk to us about the challenges and transforming collaboration and productivity. (audience applauding) (electronic dance music) Thank you, David. >> Thank you, thank you very much. >> We on? >> So, how do you feel here? >> Well good, I want to thank you first of all for your partnership and the devices you create that helped us design, manufacture, and distribute the best tire in the world, okay? I just had to say it and put out there, alright. And I was wondering, were those Michelin tires on that Aston Martin? >> I'm pretty sure there is no other tire that would fit to that. >> Yeah, no, thank you, thank you again, and thank you for the introduction. >> So, when we talk about the transformation happening really in the workplace, the most tangible transformation that you actually see is the drastic change that companies are doing physically. They're breaking down walls. They're removing cubes, and they're moving to flexible layouts, new desks, new huddle rooms, open spaces, but the underlying technology for that is clearly not so visible very often. So, tell us about Michelin's strategy, and the technology you are deploying to really enable this corporation. >> So we, so let me give a little bit a history about the company to understand the daunting tasks that we had before us. So we have over 114,000 people in the company under 170 nationalities, okay? If you go to the corporate office in France, it's Clermont. It's about 3,000 executives and directors, and what have you in the marketing, sales, all the way up to the chain of the global CIO, right? Inside of the Americas, we merged in Americas about three years ago. Now we have the Americas zone. There's about 28,000 employees across the Americas, so it's really, it's really hard in a lot of cases. You start looking at the different areas that you lose time, and you lose you know, your productivity and what have you, so there, it's when we looked at different aspects of how we were going to manage the meeting rooms, right? because we have opened up our areas of workspace, our CIO, CEOs in our zones will no longer have an office. They'll sit out in front of everybody else and mingle with the crowd. So, how do you take those spaces that were originally used by an individual but now turn them into like meeting rooms? So, we went through a large process, and looked at the Hub 500, and that really met our needs, because at the end of the day what we noticed was, it was it was just it just worked, okay? We've just added it to the catalog, so we're going to be deploying it very soon, and I just want to again point that I know everybody struggles with this, and if you look at all the minutes that you lose in starting up a meeting, and we know you know what I'm talking about when I say this, it equates to many many many dollars, okay? And so at the end the day, this product helps us to be more efficient in starting up the meeting, and more productive during the meeting. >> Okay, it's very good to hear. Another major trend we are seeing in IT departments is taking a more hands-off approach to hardware. We're seeing new technologies enable IT to create a more efficient model, how IT gets hardware in the hands of end-users, and how they are ultimately supporting themselves. So what's your strategy around the lifecycle management of the devices? >> So yeah you mentioned, again, we'll go back to the 114,000 employees in the company, right? You imagine looking at all the devices we use. I'm not going to get into the number of devices we have, but we have a set number that we use, and we have to go through a process of deploying these devices, which we right now service our own image. We build our images, we service them through our help desk and all that process, and we go through it. If you imagine deploying 25,000 PCs in a year, okay? The time and the daunting task that's behind all that, you can probably add up to 20 or 30 people just full-time doing that, okay? So, with partnering with Lenovo and their excellent technology, their technical teams, and putting together the whole process of how we do imaging, it now lifts that burden off of our folks, and it shifts it into a more automated process through the cloud, okay? And, it's with the Autopilot on the end of the project, we'll have Autopilot fully engaged, but what I really appreciate is how Lenovo really, really kind of got with us, and partnered with us for the whole process. I mean it wasn't just a partner between Michelin and Lenovo. Microsoft was also partnered during that whole process, and it really was a good project that we put together, and we hope to have something in a full production mode next year for sure. >> So, David thank you very, very much to be here with us on stage. What I really want to say, customers like you, who are always challenging us on every single aspect of our capabilities really do make the big difference for us to get better every single day and we really appreciate the partnership. >> Yeah, and I would like to say this is that I am, I'm doing what he's exactly said he just said. I am challenging Lenovo to show us how we can innovate in our work space with your devices, right? That's a challenge, and it's going to be starting up next year for sure. We've done some in the past, but I'm really going to challenge you, and my whole aspect about how to do that is bring you into our workspace. Show you how we make how we go through the process of making tires and all that process, and how we distribute those tires, so you can brainstorm, come back to the table and say, here's a device that can do exactly what you're doing right now, better, more efficient, and save money, so thank you. >> Thank you very much, David. (audience applauding) Well it's sometimes really refreshing to get a very challenging customers feedback. And you know, we will continue to grow this business together, and I'm very confident that your challenge will ultimately help to make our products even more seamless together. So, as we now covered productivity and how we are really improving our devices itself, and the transformation around the workplace, there is one pillar left I want to talk about, and that's really, how do we make businesses smarter than ever? What that really means is, that we are on a journey on trying to understand our customer's business, deeper than ever, understanding our customer's processes even better than ever, and trying to understand how we can help our customers to become more competitive by injecting state-of-the-art technology in this intelligent transformation process, into core processes. But this cannot be done without talking about a fundamental and that is the journey towards 5G. I really believe that 5G is changing everything the way we are operating devices today, because they will be connected in a way like it has never done before. YY talked about you know, 20 times 10 times the amount of performance. There are other studies that talk about even 200 times the performance, how you can use these devices. What it will lead to ultimately is that we will build devices that will be always connected to the cloud. And, we are preparing for this, and Kirk already talked about, and how many operators in the world we already present with our Moto phones, with how many Telcos we are working already on the backend, and we are working on the device side on integrating 5G basically into every single one of our product in the future. One of the areas that will benefit hugely from always connected is the world of virtual reality and augmented reality. And I'm going to pick here one example, and that is that we have created a commercial VR solution for classrooms and education, and basically using consumer type of product like our Mirage Solo with Daydream and put a solution around this one that enables teachers and schools to use these products in the classroom experience. So, students now can have immersive learning. They can studying sciences. They can look at environmental issues. They can exploring their careers, or they can even taking a tour in the next college they're going to go after this one. And no matter what grade level, this is how people will continue to learn in the future. It's quite a departure from the old world of textbooks. In our area that we are looking is IoT, And as YY already elaborated, we are clearly learning from our own processes around how we improve our supply chain and manufacturing and how we improve also retail experience and warehousing, and we are working with some of the largest companies in the world on pilots, on deploying IoT solutions to make their businesses, their processes, and their businesses, you know, more competitive, and some of them you can see in the demo environment. Lenovo itself already is managing 55 million devices in an IoT fashion connecting to our own cloud, and constantly improving the experience by learning from the behavior of these devices in an IoT way, and we are collecting significant amount of data to really improve the performance of these systems and our future generations of products on a ongoing base. We have a very strong partnership with a company called ADLINK from Taiwan that is one of the leading manufacturers of manufacturing PC and hardened devices to create solutions on the IoT platform. The next area that we are very actively investing in is commercial augmented reality. I believe augmented reality has by far more opportunity in commercial than virtual reality, because it has the potential to ultimately improve every single business process of commercial customers. Imagine in the future how complex surgeries can be simplified by basically having real-time augmented reality information about the surgery, by having people connecting into a virtual surgery, and supporting the surgery around the world. Visit a furniture store in the future and see how this furniture looks in your home instantly. Doing some maintenance on some devices yourself by just calling the company and getting an online manual into an augmented reality device. Lenovo is exploring all kinds of possibilities, and you will see a solution very soon from Lenovo. Early when we talked about smart office, I talked about the importance of creating a software platform that really run all these use cases for a smart office. We are creating a similar platform for augmented reality where companies can develop and run all their argumented reality use cases. So you will see that early in 2019 we will announce an augmented reality device, as well as an augmented reality platform. So, I know you're very interested on what exactly we are rolling out, so we will have a first prototype view available there. It's still a codename project on the horizon, and we will announce it ultimately in 2019, but I think it's good for you to take a look what we are doing here. So, I just wanted to give you a peek on what we are working beyond smart office and the device productivity in terms of really how we make businesses smarter. It's really about increasing productivity, providing you the most secure solutions, increase workplace collaboration, increase IT efficiency, using new computing devices and software and services to make business smarter in the future. There's no other company that will enable to offer what we do in commercial. No company has the breadth of commercial devices, software solutions, and the same data center capabilities, and no other company can do more for your intelligent transformation than Lenovo. Thank you very much. (audience applauding) >> Thanks mate, give me that. I need that. Alright, ladies and gentlemen, we are done. So firstly, I've got a couple of little housekeeping pieces at the end of this and then we can go straight into going and experiencing some of the technology we've got on the left-hand side of the room here. So, I want to thank Christian obviously. Christian, awesome as always, some great announcements there. I love the P1. I actually like the Aston Martin a little bit better, but I'll take either if you want to give me one for free. I'll take it. We heard from YY obviously about the industry and how the the fourth Industrial Revolution is impacting us all from a digital transformation perspective, and obviously Kirk on DCG, the great NetApp announcement, which is going to be really exciting, actually that Twitter and some of the social media panels are absolutely going crazy, so it's good to see that the industry is really taking some impact. Some of the publications are really great, so thank you for the media who are obviously in the room publishing right no. But now, I really want to say it's all of your turn. So, all of you up the back there who are having coffee, it's your turn now. I want everyone who's sitting down here after this event move into there, and really take advantage of the 15 breakouts that we've got set there. There are four breakout sessions from a time perspective. I want to try and get you all out there at least to use up three of them and use your fourth one to get out and actually experience some of the technology. So, you've got four breakout sessions. A lot of the breakout sessions are actually done twice. If you have not downloaded the app, please download the app so you can actually see what time things are going on and make sure you're registering correctly. There's a lot of great experience of stuff out there for you to go do. I've got one quick video to show you on some of the technology we've got and then we're about to close. Alright, here we are acting crazy. Now, you can see obviously, artificial intelligence machine learning in the browser. God, I hate that dance, I'm not a Millenial at all. It's effectively going to be implemented by healthcare. I want you to come around and test that out. Look at these two guys. This looks like a Lenovo management meeting to be honest with you. These two guys are actually concentrating, using their brain power to race each others in cars. You got to come past and give that a try. Give that a try obviously. Fantastic event here, lots of technology for you to experience, and great partners that have been involved as well. And so, from a Lenovo perspective, we've had some great alliance partners contribute, including obviously our number one partner, Intel, who's been a really big loyal contributor to us, and been a real part of our success here at Transform. Excellent, so please, you've just seen a little bit of tech out there that you can go and play with. I really want you, I mean go put on those black things, like Scott Hawkins our chief marketing officer from Lenovo's DCG business was doing and racing around this little car with his concentration not using his hands. He said it's really good actually, but as soon as someone comes up to speak to him, his car stops, so you got to try and do better. You got to try and prove if you can multitask or not. Get up there and concentrate and talk at the same time. 62 different breakouts up there. I'm not going to go into too much detai, but you can see we've got a very, very unusual numbering system, 18 to 18.8. I think over here we've got a 4849. There's a 4114. And then up here we've got a 46.1 and a 46.2. So, you need the decoder ring to be able to understand it. Get over there have a lot of fun. Remember the boat leaves today at 4:00 o'clock, right behind us at the pier right behind us here. There's 400 of us registered. Go onto the app and let us know if there's more people coming. It's going to be a great event out there on the Hudson River. Ladies and gentlemen that is the end of your keynote. I want to thank you all for being patient and thank all of our speakers today. Have a great have a great day, thank you very much. (audience applauding) (upbeat music) ♪ Ba da bop bop bop ♪ ♪ Ba da bop bop bop ♪ ♪ Ba da bop bop bop ♪ ♪ Ba da bop bop bop ♪ ♪ Ba da bop bop bop ♪ ♪ Ba da bop bop bop ♪ ♪ Ba da bop bop bop ba do ♪

Published Date : Sep 13 2018

SUMMARY :

and those around you, Ladies and gentlemen, we ask that you please take an available seat. Ladies and gentlemen, once again we ask and software that transform the way you collaborate, Good morning everyone! Ooh, that was pretty good actually, and have a look at all of the breakout sessions. and the industries demand to be more intelligent, and the strategies that we have going forward I'm going to give you the stage and allow you to say is that the first products are orderable and being one of the largest device companies in the world. and exactly what's going on with that. I think I'll need that. Okay, Christian, so obviously just before we get down, You're in Munich? and it's a great place to live and raise kids, And I miss it a lot, but I still believe the best sushi in the world and I have had sushi here, it's been fantastic. (Christian laughing) the real Oktoberfest in Munich, in relation to Oktoberfest, at the Lower East Side in Avenue C at Zum Schneider, and consequently ended up with you. and is reconfiguring it based on the work he's doing and a carbon fiber roll cage to protect what's inside, and that is the workstation business . and then finding an appropriate model of desktop, in the wind tunnel, which isn't alway easy, I hate to use the word game changer, is certainly going to ensure that future. And the core of this is that we need to be, and distribute the best tire in the world, okay? that would fit to that. and thank you for the introduction. and the technology you are deploying and more productive during the meeting. how IT gets hardware in the hands of end-users, You imagine looking at all the devices we use. and we really appreciate the partnership. and it's going to be starting up next year for sure. and how many operators in the world Ladies and gentlemen that is the end of your keynote.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
DavidPERSON

0.99+

GeorgePERSON

0.99+

DellORGANIZATION

0.99+

KirkPERSON

0.99+

LenovoORGANIZATION

0.99+

BradPERSON

0.99+

AmazonORGANIZATION

0.99+

EMCORGANIZATION

0.99+

George KurianPERSON

0.99+

MichelinORGANIZATION

0.99+

MicrosoftORGANIZATION

0.99+

GoogleORGANIZATION

0.99+

NikeORGANIZATION

0.99+

WalmartORGANIZATION

0.99+

QualcommORGANIZATION

0.99+

DisneyORGANIZATION

0.99+

CaliforniaLOCATION

0.99+

IBMORGANIZATION

0.99+

HPORGANIZATION

0.99+

FranceLOCATION

0.99+

JapanLOCATION

0.99+

CanadaLOCATION

0.99+

ChinaLOCATION

0.99+

NutanixORGANIZATION

0.99+

AmericasLOCATION

0.99+

Christian TeismannPERSON

0.99+

New YorkLOCATION

0.99+

Kirk SkaugenPERSON

0.99+

MalaysiaLOCATION

0.99+

AMEXORGANIZATION

0.99+

NvidiaORGANIZATION

0.99+

Rod LappenPERSON

0.99+

University College LondonORGANIZATION

0.99+

BrazilLOCATION

0.99+

KurtPERSON

0.99+

2016DATE

0.99+

GermanyLOCATION

0.99+

17QUANTITY

0.99+

2019DATE

0.99+

AMDORGANIZATION

0.99+

VerizonORGANIZATION

0.99+

IndiaLOCATION

0.99+

sevenQUANTITY

0.99+

Hudson RiverLOCATION

0.99+

twoQUANTITY

0.99+

10xQUANTITY

0.99+

NetAppORGANIZATION

0.99+

MotorolaORGANIZATION

0.99+

USLOCATION

0.99+

South AfricaLOCATION

0.99+

Alan Alderson, William Hill | PagerDuty Summit 2018


 

>> From Union Square in downtown San Francisco, it's theCUBE, covering PagerDuty Summit '18. Now here's Jeff Frick. >> Hey welcome back, everybody, Jeff Frick here with theCUBE. We're at PagerDuty Summit 2018 at the Westin St. Francis in Union Square, San Francisco. Great event, 900 people, we're excited to be here, it's our second year, and now we get to talk to some customers, which we are always excited to do. And our next guest is Alan Alderson. He is the Director of IT Ops for William Hill. Great to see you. >> Afternoon, it's great to be here. >> Absolutely, so for people that aren't familiar with William Hill, what are you guys all about? >> So William Hill offer customers opportunities to place bets on sporting events, presidential elections, snow at Christmas, you name it. We present about a million opportunities every week for customers to have a bet on. >> A million opportunities a week? >> Yeah, so picking on football matches, you know the game of the ramble. So we have opportunities for people to bet playing up to the game, and then once the game kicks off, we transition into what's called in play, so people can then place a bet on who's going to score the next goal, and about another 120 markets within that one game whilst the game's in play. >> Wow, so what's the average duration of the window to put a bet down? >> So generally leading up to the match it's as much time as you want, as soon as the markets are out there you can place the bet before the game kicks off. >> Okay. >> But once the game kicks off, you can, right up until about towards the last few minutes of the game, there'll be markets available to have a bet on. >> Okay, and then what percentage is kind of things that I would guess easily, like sporting events or those types of things, versus you know, whether it's going to snow or not? >> Well we provide the opportunities on the website, so you can have a look and, you know it's snow on Christmas day is a popular bet. People do their research, and they like to have a bet on it. There is a lot of novelty bets. There used to be, you know, life being found on Mars, Elvis being found, et cetera. So there's a lot >> Still taking action on Elvis? >> I don't think so. >> I thought we'd find him. So we're here at PagerDuty Summit. What are you doing here at PagerDuty Summit? >> So I've just come back from a stint in Australia, working for the William Hill business over there. So we introduced PagerDuty over there to help out with just getting the right message out to the right support teams quickly. So we deployed it out there, and we just brought it in to do infrastructure to start with but once we deployed it, it's a bit of a ripple effect. So it was like dropping a pebble into a pool, the ripple effect, and everybody, they seem to be doing all right over there, they use it now for the support models and so those sorts of questions. It's very quick how the other teams decided to latch onto PagerDuty as well. So I since moved back to the UK. So I moved back in January, took on this role back in the Leeds office in the north of England, and one of the first things I said is, guys, start having a look at PagerDuty, we've deployed it successfully in Australia, so let's have a look at what it can do for us. And so management works at William Hill. So I'm not trying to fix anything that's broken. So, it works. But what we can do is increase its speed of how we deal with things. So there's a lot of manual tasks in there that PagerDuty will come in and automate. It will take the pressure off the incident analysts 'cause, you know if there's an incident at two o'clock in the morning, we have 24 by seven business, so if there's an incident overnight, we've got to get on it and start fixing, resolving the incident. And if there's one guy who's trying to call out a number of responders, calling out a duty manager, trying to get comms out, it's a lot of pressure on one person to do that, and when there's pressure mistakes happen. I want PagerDuty to take away the possibility of the mistakes, take the pressure of the incident analyst, so they can focus on resolving the incident and getting service back to our customers as quickly as possible. >> I'm curious though when you said that other people and other groups saw PagerDuty in action. What were some of the other tasks that were not the primary tasks that you brought it in, where people saw value and are implementing it for some other types of activities? >> So initially when we put it in, we put it in purely for service. So for looking at the CPU disk and memory alerts. And we were getting our acknowledgements down from minutes to seconds in Australia. So the other teams are watching in, and within their applications there was a lot of alerts just landing as an email and not getting actioned upon very quickly. So we brought PagerDuty in, they said, can this help out in this space, and they started integrating it into their applications. So through hooking it into their applications they could get the alerts directly from PagerDuty, rather than it going through knocks and service decks et cetera, so it's just a quicker response and get 'em onto the issue quicker. >> And do you have it integrated in with some of your other development tools so it's just kind of part of whole process, or is it more kind of standalone notification system? >> It was integrated straight into ServiceNow and PagerDuty. PagerDuty would integrate with ServiceNow, raise the ticket, and then the things started moving. But the big win was getting the guys the call straight away as that alert happened. Otherwise you're relying on people watching screens, watching queues, waiting for that to happen, and then make the call. So if the call's gone straight to the engineer, he's on it immediately. >> Right, right, right. So what are some of your impressions here? Seeing kind of the ecosystem, what's behind PagerDuty, some great keynotes earlier today, really in terms of, again, the mission it sounds like it's very much in line with what you're trying to do, which is to help teams be more effective. >> Yeah, and what I like about PagerDuty is their passion. You just get a sense of urgency about this place, and you get a sense of passion and commitment, and they want to help people out, and that's what's drawn me to PagerDuty. The guys I worked with in Australia, the guys I worked with in the UK, they just can't do enough for you, and they want to help you succeed as well. You know, you deals with some companies that, they just want to sell you something and move on. These guys are, you know, they look after you, they work with you and they make sure that you're getting the value out of their product. >> It's a pretty interesting culture, 'cause when I talked to Jennifer Tejada a couple of years ago, I used to tease her, I'm like, nobody here knows what a pager is, right? Nobody was born when pagers were >> I had one. >> the rage. >> You had one, yeah, I had one. Shell Oil upside down, I think it says hello, I can't remember, I have to check that. But it's an interesting, there's kind of culture around what a pager represents, and the work that they have duty in there as well, which is a very different kind of level of responsibility when you are the person with the pager on, and that seems to have really carried forward in the way that they deliver the services. >> Yeah, yeah. I mean, on-call has people running, doesn't it? When people, you know when they join a job and go, "Oh you might be expected to be on call", they run a mile, and they think that's not for me. But as we go down more of a DevOps transformation and we get a lot more down the we code it, we own it model, I think it'll change people's perceptions of being on call and just doing the right thing for the business, rather thank, you know, delivering something and expecting the Ops team to fix it all the time and call out the developers at a third line. We should be, we are heading towards being a team, where the alerts go to the right people at the right time, and we get issues resolved as soon as possible. >> Right. I'd just love to get your take on, a lot of talk about digital transformation, and the modernization of IT, and kind of expected behavior on apps going on. You're right in the middle of it. >> Massively in the middle of it. >> Massively in the middle of it, right. I'm sure, what percentage of your bets come in via mobile versus... >> On the digital platform, over 56%. >> A lot, right, a lot. >> And we've got, just said in the last session we had is, we've got competition. So if our app isn't performing, it isn't quick, or it's down, people will go elsewhere. They've got options, they've got choices, and they'll just go elsewhere. And the challenge is getting those customers back. We want to have a stack that just is available and is performing, so we don't drive customers away, or we make sure that things are available at peak times, so when they are wanting to bet on the Super Bowl, the Grand National, the three o'clock kickoffs on a Saturday afternoon in the UK, it's available for them and people can get the bet on as quickly as possible. >> Right. So do you have all your own infrastructure, or do you leverage public cloud? I'm just thinking as you're talking about Super Bowl and some of these other big events, you must have just crazy big spikes. >> You know we've, in the UK it's all on-premise, so we've got to build an infrastructure to cope with that one day of the year, which is Grand National. In the US, we've just opened up in New Jersey. The front end of that stack is in AWS, so we can scale, so when Super Bowl does turn round next January, February, we should be able to scale with the load. >> Right, last question before I let you go. What are your priorities next? What are some of the things that you're working on with your team, to kind of stay at the leading edge of this very competitive space? >> Yeah we're heading into AWS. So we're looking to move into Amazon next year, start migrating some applications in there, and we're looking to get some applications in there the back end of this year, but migrate the existing apps from the start of next year. We're going through a DevOps transformation. We've been doing an agile transformation as well over the last 12 to 18 months, so there's a huge amount of digital transformation going on at William Hill at the moment. It's a very, very exciting place to be. The US expansion, the place has just gone mad, you know. There's a lot going on, it's just a great place to be. >> Yeah, I mean significant changes obviously in the US attitude, I think you guys are a little more progressive on that side of the Atlantic. Big changes happening here. >> 14th of May was a big day, PASPA being repealed has opened up the betting opportunities in any state that wants to regulate. And we are leading the way in that charge at the moment, so it's very exciting. >> All right, well I'm going to let you go so you can get some sleep, 'cause I'm sure you're a very busy man. Alan, thanks for stopping by. >> Thank you very much. >> All right, he's Alan, I'm Jeff, you're watching theCUBE, we're at PagerDuty Summit 2018, thanks for watching.

Published Date : Sep 11 2018

SUMMARY :

it's theCUBE, covering PagerDuty Summit '18. He is the Director of IT Ops for William Hill. presidential elections, snow at Christmas, you name it. So we have opportunities for people to bet as soon as the markets are out there few minutes of the game, there'll be markets available so you can have a look and, What are you doing here at PagerDuty Summit? and one of the first things I said is, that were not the primary tasks that you brought it in, and get 'em onto the issue quicker. So if the call's gone straight to the engineer, Seeing kind of the ecosystem, what's behind PagerDuty, and they want to help you succeed as well. and the work that they have duty in there as well, for the business, rather thank, you know, and the modernization of IT, Massively in the middle of it, right. and is performing, so we don't drive customers away, So do you have all your own infrastructure, In the US, we've just opened up in New Jersey. What are some of the things that you're working on The US expansion, the place has just gone mad, you know. the US attitude, I think you guys are And we are leading the way in that charge at the moment, All right, well I'm going to let you go so you can All right, he's Alan, I'm Jeff, you're watching theCUBE,

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
JeffPERSON

0.99+

AustraliaLOCATION

0.99+

Alan AldersonPERSON

0.99+

Jeff FrickPERSON

0.99+

AlanPERSON

0.99+

New JerseyLOCATION

0.99+

Jennifer TejadaPERSON

0.99+

UKLOCATION

0.99+

USLOCATION

0.99+

JanuaryDATE

0.99+

Union SquareLOCATION

0.99+

next yearDATE

0.99+

MarsLOCATION

0.99+

AWSORGANIZATION

0.99+

AmazonORGANIZATION

0.99+

Super BowlEVENT

0.99+

900 peopleQUANTITY

0.99+

PagerDutyORGANIZATION

0.99+

over 56%QUANTITY

0.99+

one guyQUANTITY

0.99+

ElvisPERSON

0.99+

Saturday afternoonDATE

0.99+

three o'clockDATE

0.99+

one gameQUANTITY

0.99+

two o'clockDATE

0.99+

ServiceNowTITLE

0.99+

PagerDuty Summit '18EVENT

0.99+

ChristmasEVENT

0.99+

Union Square, San FranciscoLOCATION

0.99+

one personQUANTITY

0.98+

Grand NationalEVENT

0.98+

oneQUANTITY

0.98+

24QUANTITY

0.98+

second yearQUANTITY

0.98+

one dayQUANTITY

0.98+

AtlanticLOCATION

0.97+

PagerDutyTITLE

0.97+

William HillORGANIZATION

0.96+

PagerDuty Summit 2018EVENT

0.96+

LeedsLOCATION

0.95+

endDATE

0.95+

seven businessQUANTITY

0.95+

about a million opportunitiesQUANTITY

0.95+

William HillLOCATION

0.93+

theCUBEORGANIZATION

0.93+

next January,DATE

0.92+

third lineQUANTITY

0.89+

a mileQUANTITY

0.89+

San FranciscoLOCATION

0.87+

couple of years agoDATE

0.87+

north of EnglandLOCATION

0.86+

A million opportunities a weekQUANTITY

0.86+

Christmas dayEVENT

0.85+

Westin St. FrancisLOCATION

0.84+

first thingsQUANTITY

0.84+

PagerDuty SummitLOCATION

0.81+

this yearDATE

0.76+

lastDATE

0.75+

minutesQUANTITY

0.71+

120 marketsQUANTITY

0.7+

14th ofEVENT

0.7+

18 monthsQUANTITY

0.69+

MayDATE

0.65+

every weekQUANTITY

0.64+

Peter O'Rourke, University Campus Suffolk | AWS Imagine 2018


 

(upbeat music) >> On the Amazon Meeting Center. In downtown Seattle. It's theCUBE. Covering Imagine a Better World. A global education conference, sponsored by Amazon Web Services. >> Hey welcome back everybody. Jeffrey here with theCUBE. We're in Seattle, Washington at the AWS Imagine education conference. It's the first one. Teresa Carlson just kicked off the keynote. About 900 registrants from over 20 countries worldwide. We saw it happen with the public sector before. They went from 50 people to 15 thousand, I think she said in seven years. I'm imagining that Imagine is going to have the same track. Cause education is so, so important. And we're excited our next guest came all the way from the other side of the pond. The other side of the Atlantic. He's Peter O'Rourke, Director of IT for the University of Suffolk. Peter, great to see ya. >> Thanks Jeff for the welcome. Yes it's been fantastic to be here with this exciting crowd. And as Teresa said it would be great to be here in seven years. At a huge event. >> A huge event, it'll probably be in Vegas. They like to have those big ones down in Vegas. So what brings you here? It's a long way, education is clearly super important. Digital transformation and cloud. We see it all over the place. But what's the application that you're looking at, what are you excited about in bringing kind of cloud economics to the University of Suffolk? >> Well Jeff, the key thing in education has got to be about students' experience. And that's the thing we've got to keep driving at all the time. What's exciting about partners like Amazon is the potential that they talk about. It's not what they're doing today. It's what they're talking about and going to do tomorrow and the day after. And as I've just said, this is day one. >> Right. >> This is an exciting journey to engage with. With these partners. >> So how have the student experience kind of expectations morphed over time? As you get kind of digital-native kids coming up into the school now and kind of, you know we've seen it on the business side. The consumerization of IT cause people expect their interactions with their companies, their banks and their retailers to be like it is with their phone and computer. How are you seeing the expectations change from your students on what they want and how they want to interact with all the services that you guys provide them. >> Good question. And again the mobile phone is the key here. People arrive at your organizations, whether they are universities or retail establishments. And they already know how they're going to work with you. And when you can't do that. That's a huge disappointment. So these people are using things in their daily life. To arrange trips, theater tickets, cinema. And when you can't work like that, there's a huge disconnect. >> Right, right. The other big issue that happens I've seen more and more is mobile. And you know, universities. You guys are always limited on space. >> Yeah. >> There's always lots of construction and new buildings and new labs and new academic offices and classrooms. So space is always an issue. How does you know, mobile specifically as you mentioned, enable you to provide a different experience, a better experience, a more varied experience when you've got all these other kind of constraints you're faced with. >> How mobile can help with that. It's about allowing your users to consume their content where and when they want to. It's exactly how they live their daily lives. So you know maybe you can't a lecture today. But why should that really matter? >> Right. >> You should be able to pick this up later. >> Right. And that last piece is the staff. And you know a lot of the teachers weren't necessarily educated in CS. That wasn't kind of why they got into the business. Especially if they are in say, history or philosophy. Or some of maybe the softer sciences. How are you seeing their adoption of technology to be, you know don't be afraid of it. This actually can be a great enabler to help you do your job better. How are you seeing their adoption of some of this technology in some of the softer academic areas? >> Well, again good question. But it's a huge challenge. I think for too long what we've tried to do from a technology perspective. Is to turn absolutely brilliant academic colleagues into technologists. And that's not why they came into education. >> Right. >> What's exciting about what's happening now is that we're able to enable them to use much, much simpler technology tools or interfaces that are actually doing amazing things in the background. And they don't need to understand how it does it. And that's the way it should be. >> Right. So last question. What are you expecting to get out of this conference for a day and a half here in Seattle? Ton of educators, ton of people from your indsutry. First ever event of this type for AWS. What are you hoping to take away? >> I'm hoping to take away a ton of exciting ideas. That are almost impossible to install. But there's going to be one or two gems in there that we can work with people like Amazon going forward. And we're going to come back in a year's time. And we'll want to talk about what we've done. >> Right. >> That's the exciting thing. >> That is the key right, what have you done? >> Yes. >> And now with cloud you can do, they've talked about a project in the keynote that was three months from ideation to actually starting to ship stuff. So we can do it. >> That's what we've got to do. >> Right alright Peter, well thanks for taking a few minutes of your day. And good luck with the rest of the conference. >> Thanks Jeff, thanks for talking to me. >> Alright, Peter, I'm Jeff. You're watching theCUBE. We're at AWS Imagine Education in Seattle, Washington. Thanks for watching. (upbeat music)

Published Date : Aug 10 2018

SUMMARY :

On the Amazon Meeting Center. I'm imagining that Imagine is going to have the same track. Thanks Jeff for the welcome. So what brings you here? And that's the thing we've got to keep driving at This is an exciting journey to engage with. How are you seeing the expectations change And they already know how they're going to work with you. And you know, universities. How does you know, mobile specifically as you mentioned, So you know maybe you can't a lecture today. to pick this up later. And that last piece is the staff. And that's not why they came into education. And they don't need to understand how it does it. What are you expecting to get out of this conference And we'll want to talk about what we've done. And now with cloud you can do, And good luck with the rest of the conference. We're at AWS Imagine Education in Seattle, Washington.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
JeffPERSON

0.99+

TeresaPERSON

0.99+

Teresa CarlsonPERSON

0.99+

AmazonORGANIZATION

0.99+

Peter O'RourkePERSON

0.99+

Amazon Web ServicesORGANIZATION

0.99+

JeffreyPERSON

0.99+

VegasLOCATION

0.99+

PeterPERSON

0.99+

SeattleLOCATION

0.99+

oneQUANTITY

0.99+

50 peopleQUANTITY

0.99+

AWSORGANIZATION

0.99+

Seattle, WashingtonLOCATION

0.99+

University of SuffolkORGANIZATION

0.99+

tomorrowDATE

0.99+

a day and a halfQUANTITY

0.99+

FirstQUANTITY

0.99+

15 thousandQUANTITY

0.99+

seven yearsQUANTITY

0.99+

three monthsQUANTITY

0.99+

About 900 registrantsQUANTITY

0.98+

over 20 countriesQUANTITY

0.98+

ImagineORGANIZATION

0.97+

todayDATE

0.97+

first oneQUANTITY

0.97+

AWS Imagine EducationORGANIZATION

0.95+

AtlanticLOCATION

0.95+

a yearQUANTITY

0.92+

two gemsQUANTITY

0.92+

theCUBEORGANIZATION

0.91+

2018DATE

0.88+

day oneQUANTITY

0.86+

Amazon Meeting CenterLOCATION

0.83+

University CampusORGANIZATION

0.81+

downtown SeattleLOCATION

0.81+

Ton of educatorsQUANTITY

0.75+

ton of peopleQUANTITY

0.73+

Imagine a BetterEVENT

0.69+

Imagine educationEVENT

0.64+

WorldTITLE

0.61+

SuffolkLOCATION

0.57+

AWS ImagineORGANIZATION

0.49+

Dietmar Fauser, Amadeus | Red Hat Summit 2018


 

>> Announcer: From San Francisco, it's theCUBE. Covering Red Hat Summit 2018. Brought to you by Red Hat. >> Hey, welcome back everyone. This is theCUBE live here in San Francisco at Moscone West Fourth, Red Hat Summit 2018. I'm John Furrier, the co-host of theCUBE with John Troyer, the co-founder of TechReckoning, an advisory firm in the area of open source communities and technology. Our next guest is Cube alumni Dietmar Fauser, head of core platforms and middleware at Amadeus, experienced Red Hatter, event go-er, and practitioner. Great to have you back, great to see you. >> Thank you, good to be here. >> So why are you here, what's going on? Tell us the latest and greatest. What's going on in your world? Obviously, you've been on theCUBE. You go on YouTube, there's a lot of videos on there, you go into great detail on. You been on the Docker journey. You got Red Hat, you got some Oracle. You got a complex environment. You're managing cloud native-like services. Tell us about it. >> We do so, yes, so this time I am here mostly to feed back some experience of concrete implementation out there in the Cloud and on premise so. Paul told me that the theme was mostly hybrid cloud deployments so we have chosen two of our really big applications to explain how concretely this works out with you and when you deploy on the Cloud. >> So you were up on stage this morning in the keynote. I think the scale of your operation maybe raised some eyebrows as well. You're talking about over a trillion transactions. Can you talk a little bit about, talk about your multi-cloud stance and what you showed this morning. >> Okay, so first to frame a bit of the trillion transactions. It's not traditional data based transactions. It's individual data access and highly in-memory cached environment. So I'd say that's a very large number and it's a significant challenge to produce this system. So we're talking about like more than 100,000 core deployments of this applications so. Response time matters extremely in this game because at the end what we are talking here about is the back end that powers large P2C sites, like Kayak, some major search engines, online travel agencies. So it just has to respond in a very fast way. Which pushed us to deploy the solutions very close to where the transactions are really originating to avoid our historical data centers in Germany. We just want to take out the back and forth travel under the Atlantic basically to create a better end user experience at the end. >> Furrier: So you had to drive performance big time? >> We, very much. It's either performance or higher availability or both actually. >> This is a true hybrid cloud, right? You're on prem, you're in AWS, and you're in Google Cloud. So could you talk a little bit about that? All powered by OpenShift. >> OpenShift is the common denominator of the solutions. Some of our core design goals is to build the applications in a platform agnostic way. So an application should not know what's its deployment topology, what's the underlying infrastructure. Which is why I believe that platforms like OpenShift and Kubernetes underneath are so important, because they take over the role of a traditional operating system, but at a larger scale. Either in big Cloud deployments or on premise, but the span of operations that you get with these environments is just like an OS but on a bigger scale. It's not a surprise that people talked about this like a data center operating system for a while. We use it this way so OpenShift is clearly the masterpiece, I would say of the deployment. >> That's the key though, I think, thinking about it as an operating system or an operating environment is the kind of the architectural mindset that you have to be in. Because you've got to look at these resources and connections, link them together. You've got all these team systems constant. So you've got to be a systems person kind of design. How does someone get there that may or may not have traditional systems experience? Like us surly generation systems folks have gone through. Because you have devops automating away things. You have more of an SRE model that Google's talking about. Talking about large scale, it's not a data center anymore, it's an operating environment. How do people get there? What's your recommendation, how do I learn more. What do I do to deploy architecturally? >> That's a key question I think. I think there were two sections to your question, how to get there, so. I think at Amadeus we are pretty good at catching early big trends in the industry. We are very close to large engineering houses like Google and Facebook and others like Red Hat of course and so, it was pretty quickly clear to us, at least to a small amount of these decision-makers that the combination of Red Hat and Google was kind of, a game-changing event, which is why we went there, so. It's, I mean. >> Furrier: The containers have been important for you guys. >> Containers were coming along, so, when this happened Docker became big, our development teams, they wanted to do containers. It was not something that the management has had to push for, it was grassroots type of adoption here. So different pieces fed together that gave us some form of certainty, or a belief that these platforms would be around for a decade to come. >> Developers love Kubernetes, and I mean that, containers, it's like a fish to water, it's just natural. Now talk about Kubernetes now, OpenShift made a bet with Kubernetes, obviously, a few years ago. People were like, what is that about? Now it's obvious why. How are you looking at the Kubernetes trade, obviously it creates a de facto capability, you can wrap services around it, there's a notion of service meshes coming, Istio is the hottest product in the Linux Foundation, CNCF, KubeFlow is right behind it, I mean these are kind of thinking about service and micro-services and workload management. How do you view that, what's your opinion on that direction? >> I'm afraid there is no simple answer to this, because if you start new solutions from scratch, going directly to Kubernetes, OpenShift is the natural way. Now the big thing in large corporations is we all have legacy applications, whatever we call legacy applications, in our case these are pretty large C++ environments that are relatively modern but they are not strictly micro-service based and they are a bit fatter, they have an enterprise service bus on top of this, and so it's not, and we have very awkward, old network protocols, so going straight to the mesh for these applications and micro-services is not a possibility because there is significant re-engineering needed in our own applications before we believe it makes sense to throw them onto a container platform. We could stick all of this in a container but you have to wonder whether you get the benefit you really want to. >> Furrier: Time ROI, return on investment, on the engineering, retrofitting it for service mesh. >> Yes, I mean, the interesting thing is Kubernetes or not, we would have touched these applications anyway to cut them into more manageable pieces. We call this compartmentalization. Other people may call this micro-service-ification, or however we want to call this. So that's, to me this is work that is independent from the cloud strategy in itself. Some of our applications, to move faster, we have decided to put them more or less as they are onto OpenShift, others we take some more time to say, okay let's do the engineering homework first so that we reap the full benefits of this platform, and the benefit really is, what is fundamental for developers, efficiency and agility is that you have relatively small, independent load sets, so that you can quickly load small pieces, you can roll them in. >> Time to production, time from developer to production. >> But also quality, the less isolated, the more you isolate the changes, the less you run the risk that a change is cross-impacting things that are in the same delivery basically. It's a lot about, smaller chunks of software that are managed and for this obviously a micro-service platform is absolutely ideal. So it helps us to push the spirit of the company in this direction, no more monolithical applications, fast daily loads. >> Morale's higher, people happy. >> Well, it's a long journey, so some are happy, some are impatient like me to move faster. Some are still a bit reluctant, it's normal in larger organizations. >> Talk about the scale, I'm really interested in your reaction and experience, let's talk about the scale. I think that's a big story. As cloud enables more horizontally scalable applications, the operating aperture is bigger. It's not like managing systems here, it's a little bit bigger picture. How are you guys looking at the operational framework of that, because now you're essentially a site reliable engineering role, that's what Google talks, in SRE, but now you're operating but you're still developing code, and you're writing applications. So, talk about that dynamic and how you see that playing out going forward. >> So, what we try to do is to separate the platform aspects from the application aspects, so I'm leading the platform engineering unit, including platform operations, so this means that we have the platform SRE role, if you want, so we oversee frontline operations 24 by seven stability of the global system. To me, the game is really about trying to separate and isolate as much as we can from the applications to put it on the platform because we have, like, close to 100 applications running on the platform and if we can fix stuff on the platform for all the applications without being involved in the individual load cycles and waiting for them to integrate some features, we just move much faster. >> You can decouple the application from some core platform features, make them highly cohesive, sounds like an operating system to me. >> It is, and I'll come to the second thought of the SRE a bit later, but currently the big bulk of the work we are doing with OpenShift is now to bring our classical platform stuff under OpenShift. And by classical application, I mean our internal components like security, business rule engines, communication systems, but also the data management side of the house. And I think this is what we're going to witness over the next two or three years, is how can we manage, like, in our case CouchBase, Kafka, all of those things, we want them to be managed as applications under OpenShift with descriptive blueprints, descriptive configurations which means you define the to-be state of a system and you leave OpenShift to ensure that if the to-be state is like, I need 1000 ports for a given application, is violated OpenShift will repair automatically the system. >> That's interesting, you bring up a dynamic that's a trend we're seeing, I want to get your thoughts on this. And it hasn't really been kind of crystallized and yet I haven't heard a good explanation but, the trend seems to be to have many databases. In other words, we're living in a world where there's a database for everything, but not one database. So, like, if I got an application at the edge of the network, it can have its own database, so we shouldn't have to design around a database concept, it should be, concept should still be databases everything, living and growing and managing it. How are, first of all do you believe that, and if so, how do you architect the platform to manage potentially ubiquitous amount of different kinds of databases where the apps are kind of driving their own database role, and working with the core platform. Seems to be an area people are really talking about, because this is where AI shines if you get that right. >> So I agree with you that there are a lot of solutions out there. Sometimes a bit confusing choice, which type of solutions to choose. In our case we have quite a mature, what we call a technical policy, a catalog of technologies that application designers can choose from, so there are several data management stores in there. Traditionally speaking we use Oracle, so Oracle is there and is a good solution for many use cases. We were very early in the Nosql space so we have introduced Couchbase for highly scalable environments, Mongo for more sophisticated objects or operations. We try to educate, or to talk with our application people not to go outside of this. We also use Redis for our platform internal things, so we try to narrow their choices down. >> Stack the databases, what about the glue layer? Any kind of glue layer standards, gluing things together? >> In general we always put an API layer on top of the solutions, so we use our own infrastructure independence layer when we talk to the databases, so we try not to have those native bindings in the application, it's always about disentangling platform aspects from the application. >> So Dietmar, you did talk about this architectural concept, right, of these layers, and you're protecting the application from the platform, what about underneath, right? You're running on multiple clouds. What have been the challenges of, in theory, you know, there's a separation layer there and OpenShift is underneath everything, you've got OpenStack, you've got the public clouds, have there been some challenges operationally in making sure everything runs the same? >> There are multiple challenges, so to start with, the different infrastructures do not behave exactly the same, so just taking something from Google to Amazon, it works in theory but practically speaking the APIs are not exactly the same, so you need to remap the APIs. The underlying behavior is not exactly the same. In general from an application design point of view, and we are pretty used to this anyway because we are distributed systems specialists, but the learning curve comes from the fact that you go to an infrastructure that is, in itself, much less reliable if you look to individual pieces of it. It works fine if you use well the availabilities on concepts and you start with the mindset that you can lose availabilities or even complete regions and take this as a granted, natural event that will happen. If you are in this mindset there aren't so many surprises, OpenShift operates very well with the unreliability of virtual machines. We even contract, in the case of Google, what is called preemptive VM so they get restarted anyway very frequently because they have a different value proposition so if you can run with less reliable stuff you pay less, basically. So if you can take advantage of this, you have another advantage using those. >> Dietmar, it's great to hear your stories, congratulations on your success and all the work you're doing, it's sounds like really cutting-edge and great work. You've been to many Red Hats. What's the revelation this year? What's the big thing that people should know about that's happening in 2018? Is it Kubernetes? What should people pay attention to from your opinion? >> I think we can take Kubernetes now as granted. That's very good news for me and for Amadeus, it was quite a bet at the beginning but we see this now as the de facto standard, and so I think people can now relax and say, okay this is one of the pieces that will be predominant for the decade to come. Usually I'm referring to IT decades, only three years long, not 10 years. >> Okay, and as moving to an operating system environment, I love that analogy. I think it's totally right from the data that we see. We're living in a cloud native world, hybrid cloud on-premise, still true private cloud as Wikibon calls it and really it's an operating system concept architecturally, and IoT is coming fast. It's just going to create more and more data. >> So, what I believe, and what we believe in general at Amadeus is that the next evolution of systems, the big architectural design approach will be to create applications that are much more streaming oriented because it allows to decouple the different computing steps much more. So rather than waiting for a transaction, you subscribe to an event, and any number of processes can subscribe to an event, the producer doesn't have to know who is consuming what, so we go streaming data-centric and massively asynchronous. Which, which, which yields smoother throughput, less hiccups because in transactional systems you always have something that slows down temporarily a little bit, it's very difficult to architect systems with absolute separation of concerns in mind, so sometimes a slowdown of a disk might trigger impacts to other systems. With a streaming and asynchronous approach the systems tend to be much more stable with higher throughput. >> And a lot more scalable. There's the horizontally scalable nature of the cloud, you've got to have the streaming and this architecture in place. This is a fundamental mistake we see with people out there, they don't think like this but then when they hit scale points, it breaks. >> Absolutely, and so, I mean we are a highly transactional shop but many of our use cases already are asynchronous so we go a deep step further on this and we currently work on bringing Kafka massively under OpenShift because we're going to use Kafka to connect data center footprints for all types of data that we have to stream to the application that are out in the public cloud, or on premise basically. >> We should call you professor because this was such a great segment, thanks for sharing an awesome amount of insight on theCube. Thanks for coming on, good to see you again. Dietmar Fauser, head of core platforms and middleware at Amadeus. You know, down and dirty, getting under the hood really at the architecture of scale, high availability, high performance of the systems to be scalable with cloud, obviously open source is powering it, OpenShift and Red Hat. It's theCube bringing you all the power here in San Francisco for Red Hat Summit 2018. I'm John Furrier and John Troyer, we'll be back with more after this short break. (electronic music)

Published Date : May 8 2018

SUMMARY :

Brought to you by Red Hat. Great to have you back, great to see you. You been on the Docker journey. and when you deploy on the Cloud. So you were up on stage of the trillion transactions. We, very much. So could you talk a little bit about that? but the span of operations that you get kind of the architectural that the combination of Red Hat and Google for you guys. that the management has Istio is the hottest product Now the big thing in large corporations is the engineering, retrofitting efficiency and agility is that you have Time to production, time from developer the less you run the risk that a change is some are impatient like me to move faster. Talk about the scale, the applications to put it on the platform You can decouple the the to-be state of a system and you leave of the network, it can So I agree with you that there are of the solutions, so we in making sure everything runs the same? the same, so you need to remap the APIs. What's the revelation this year? predominant for the decade to come. from the data that we see. the systems tend to be much more stable of the cloud, you've got the application that are the systems to be scalable with cloud,

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
GermanyLOCATION

0.99+

John TroyerPERSON

0.99+

AmazonORGANIZATION

0.99+

John TroyerPERSON

0.99+

2018DATE

0.99+

PaulPERSON

0.99+

Dietmar FauserPERSON

0.99+

GoogleORGANIZATION

0.99+

John FurrierPERSON

0.99+

San FranciscoLOCATION

0.99+

San FranciscoLOCATION

0.99+

FacebookORGANIZATION

0.99+

Red HatORGANIZATION

0.99+

twoQUANTITY

0.99+

AmadeusORGANIZATION

0.99+

OpenShiftTITLE

0.99+

DietmarPERSON

0.99+

10 yearsQUANTITY

0.99+

three yearsQUANTITY

0.99+

San FranciLOCATION

0.99+

Linux FoundationORGANIZATION

0.99+

AWSORGANIZATION

0.99+

CNCFORGANIZATION

0.99+

1000 portsQUANTITY

0.99+

TechReckoningORGANIZATION

0.99+

two sectionsQUANTITY

0.99+

OracleORGANIZATION

0.99+

bothQUANTITY

0.99+

KubeFlowORGANIZATION

0.98+

KafkaTITLE

0.98+

Red Hat Summit 2018EVENT

0.98+

oneQUANTITY

0.98+

firstQUANTITY

0.98+

HatTITLE

0.97+

Moscone West FourthLOCATION

0.97+

this yearDATE

0.97+

Red HatterORGANIZATION

0.97+

over a trillion transactionsQUANTITY

0.96+

AtlanticLOCATION

0.96+

NosqlTITLE

0.96+

WikibonORGANIZATION

0.95+

one databaseQUANTITY

0.94+

SRETITLE

0.94+

more than 100,000 core deploymentsQUANTITY

0.94+

theCUBEORGANIZATION

0.94+

IstioORGANIZATION

0.94+

YouTubeORGANIZATION

0.93+

CouchBaseTITLE

0.93+

Red HatTITLE

0.91+

KayakORGANIZATION

0.9+

KubernetesORGANIZATION

0.9+

second thoughtQUANTITY

0.89+

this morningDATE

0.88+

CubeORGANIZATION

0.88+

OpenShiftORGANIZATION

0.88+

OpenStackTITLE

0.87+

CouchbaseTITLE

0.86+

few years agoDATE

0.86+

C+TITLE

0.85+

Google CloudTITLE

0.8+

100 applicationsQUANTITY

0.79+

sevenQUANTITY

0.78+

KubernetesTITLE

0.77+

Keynote Analysis | Dataworks Summit 2018


 

>> Narrator: From Berlin, Germany, it's theCUBE! Covering DataWorks Summit, Europe 2018. (upbeat music) Brought to you by Hortonworks. (upbeat music) >> Hello, and welcome to theCUBE. I'm James Kobielus. I'm the lead analyst for Big Data analytics in the Wikibon team of SiliconANGLE Media, and we're here at DataWorks Summit 2018 in Berlin, Germany. And it's an excellent event, and we are here for two days of hard-hitting interviews with industry experts focused on the hot issues facing customers, enterprises, in Europe and the world over, related to the management of data and analytics. And what's super hot this year, and it will remain hot as an issue, is data privacy and privacy protection. Five weeks from now, a new regulation of the European Union called the General Data Protection Regulation takes effect, and it's a mandate that is effecting any business that is not only based in the EU but that does business in the EU. It's coming fairly quickly, and enterprises on both sides of the Atlantic and really throughout the world are focused on GDPR compliance. So that's a hot issue that was discussed this morning in the keynote, and so what we're going to be doing over the next two days, we're going to be having experts from Hortonworks, the show's host, as well as IBM, Hortonworks is one of their lead partners, as well as a customer, Munich Re, will appear on theCUBE and I'll be interviewing them about not just GDPR but really the trends facing the Big Data industry. Hadoop, of course, Hortonworks got started about seven years ago as one of the solution providers that was focused on commercializing the open source Hadoop code base, and they've come quite a ways. They've had their recent financials were very good. They continue to rock 'n' roll on the growth side and customer acquisitions and deal sizes. So we'll be talking a little bit later to Scott Gnau, their chief technology officer, who did the core keynote this morning. He'll be talking not only about how the business is doing but about a new product announcement, the Data Steward Studio that Hortonworks announced overnight. It is directly related to or useful, this new solution, for GDPR compliance, and we'll ask Scott to bring us more insight there. But what we'll be doing over the next two days is extracting signal from noise. The Big Data space continues to grow and develop. Hadoop has been around for a number of years now, but in many ways it's been superseded in the agenda as the priorities of enterprises that are building applications from data by some newer primarily open source technology such as Apache Spark, TensorFlow for building deep learning and so forth. We'll be discussing the trends towards the deepening of the open source data analytics stack with our guest. We'll be talking with a European based reinsurance company, Munich Re, about the data lake that they have built for their internal operations, and we'll be asking their, Andres Kohlmaier, their lead of data engineering, to discuss how they're using it, how they're managing their data lake, and possibly to give us some insight about it will serve them in achieving GDPR compliance and sustaining it going forward. So what we will be doing is that we'll be looking at trends, not just in compliance, not just in the underlying technologies, but the applications that Hadoop and Spark and so forth, these technologies are being used for, and the applications are really, the same initiatives in Europe are world-wide in terms of what enterprises are doing. They're moving away from Big Data environments built primarily on data at rest, that's where Hadoop has been, the sweet spot, towards more streaming architectures. And so Hortonworks, as I said the show's host, has been going more deeply towards streaming architectures with its investments in NiFi and so forth. We'll be asking them to give us some insight about where they're going with that. We'll also be looking at the growth of multi-cloud Big Data environments. What we're seeing is that there's a trend in the marketplace away from predominately premises-based Big Data platforms towards public cloud-based Big Data platforms. And so Hortonworks, they are partners with a number of the public cloud providers, the IBM that I mentioned. They've also got partnerships with Microsoft Azure, with Amazon Web Services, with Google and so forth. We'll be looking, we'll be asking our guest to give us some insight about where they're going in terms of their support for multi-clouds, support for edge computing, analytics, and the internet of things. Big Data increasingly is evolving towards more of a focus on serving applications at the edge like mobile devices that have autonomous smarts like for self-driving vehicles. Big Data is critically important for feeding, for modeling and building the AI needed to power the intelligence and endpoints. Not just self-driving cars but intelligent appliances, conversational user interfaces for mobile devices for our consumer appliances like, you know, Amazon's got their Alexa, Apple's got their Siri and so forth. So we'll be looking at those trends as well towards pushing more of that intelligence towards the edge and the power and the role of Big Data and data driven algorithms, like machine learning, and driving those kinds of applications. So what we see in the Wikibon, the team that I'm embedded within, we have published just recently our updated forecast for the Big Data analytics market, and we've identified key trends that are... revolutionizing and disrupting and changing the market for Big Data analytics. So among the core trends, I mentioned the move towards multi-clouds. The move towards a more public cloud-based big data environments in the enterprise, I'll be asking Hortonworks, who of course built their business and their revenue stream primarily on on-premises deployments, to give us a sense for how they plan to evolve as a business as their customers move towards more public cloud facing deployments. And IBM, of course, will be here in force. We have tomorrow, which is a Thursday. We have several representatives from IBM to talk about their initiatives and partnerships with Hortonworks and others in the area of metadata management, in the area of machine learning and AI development tools and collaboration platforms. We'll be also discussing the push by IBM and Hortonworks to enable greater depths of governance applied to enterprise deployments of Big Data, both data governance, which is an area where Hortonworks and IBM as partners have achieved a lot of traction in terms of recognition among the pace setters in data governance in the multi-cloud, unstructured, Big Data environments, but also model governments. The governing, the version controls and so forth of machine learning and AI models. Model governance is a huge push by enterprises who increasingly are doing data science, which is what machine learning is all about. Taking that competency, that practice, and turning into more of an industrialized pipeline of building and training and deploying into an operational environment, a steady stream of machine-learning models into multiple applications, you know, edge applications, conversational UIs, search engines, eCommerce environments that are driven increasingly by machine learning that's able to process Big Data in real time and deliver next best actions and so forth more intelligence into all applications. So we'll be asking Hortonworks and IBM to net out where they're going with their partnership in terms of enabling a multi-layered governance environment to enable this pipeline, this machine-learning pipeline, this data science pipeline, to be deployed it as an operational capability into more organizations. Also, one of the areas where I'll be probing our guest is to talk about automation in the machine learning pipeline. That's been a hot theme that Wikibon has seen in our research. A lot of vendors in the data science arena are adding automation capabilities to their machine-learning tools. Automation is critically important for productivity. Data scientists as a discipline are in limited supply. I mean experienced, trained, seasoned data scientists fetch a high price. There aren't that many of them, so more of the work they do needs to be automated. It can be automated by a mature tool, increasingly mature tools on the market, a growing range of vendors. I'll be asking IBM and Hortonworks to net out where they're going with automation in sight of their Big Data, their machine learning tools and partnerships going forward. So really what we're going to be doing over the next few days is looking at these trends, but it's going to come back down to GDPR as a core envelope that many companies attending this event, DataWorks Summit, Berlin, are facing. So I'm James Kobielus with theCUBE. Thank you very much for joining us, and we look forward to starting our interviews in just a little while. Our first up will be Scott Gnau from Hortonworks. Thank you very much. (upbeat music)

Published Date : Apr 18 2018

SUMMARY :

Brought to you by Hortonworks. and enterprises on both sides of the Atlantic

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
James KobielusPERSON

0.99+

IBMORGANIZATION

0.99+

HortonworksORGANIZATION

0.99+

Scott GnauPERSON

0.99+

Andres KohlmaierPERSON

0.99+

AppleORGANIZATION

0.99+

European UnionORGANIZATION

0.99+

EuropeLOCATION

0.99+

General Data Protection RegulationTITLE

0.99+

ScottPERSON

0.99+

GoogleORGANIZATION

0.99+

Amazon Web ServicesORGANIZATION

0.99+

AmazonORGANIZATION

0.99+

MicrosoftORGANIZATION

0.99+

two daysQUANTITY

0.99+

Munich ReORGANIZATION

0.99+

ThursdayDATE

0.99+

SiriTITLE

0.99+

GDPRTITLE

0.99+

SiliconANGLE MediaORGANIZATION

0.99+

Berlin, GermanyLOCATION

0.99+

WikibonORGANIZATION

0.99+

firstQUANTITY

0.99+

Data Steward StudioORGANIZATION

0.98+

bothQUANTITY

0.98+

tomorrowDATE

0.98+

DataWorks SummitEVENT

0.98+

AtlanticLOCATION

0.98+

oneQUANTITY

0.98+

BerlinLOCATION

0.98+

both sidesQUANTITY

0.97+

DataWorks Summit 2018EVENT

0.97+

ApacheORGANIZATION

0.96+

HadoopTITLE

0.95+

AlexaTITLE

0.94+

this yearDATE

0.94+

SparkTITLE

0.92+

2018EVENT

0.91+

EUORGANIZATION

0.91+

Dataworks Summit 2018EVENT

0.88+

TensorFlowORGANIZATION

0.81+

this morningDATE

0.77+

about seven years agoDATE

0.76+

AzureTITLE

0.7+

next two daysDATE

0.68+

Five weeksQUANTITY

0.62+

NiFiTITLE

0.59+

EuropeanLOCATION

0.59+

theCUBEORGANIZATION

0.58+