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Jane wong, Splunk


 

>>Welcome to the Cubes Coverage of Splunk.com 2021. My name is Dave Atlanta and the Cube has been covering.com events since 2012 and I've personally hosted many of them. And since that time we've seen the evolution of Splunk as a company and also the maturation in the way customers analyzed, protect and secure their organizations, data and applications. But the forced march to digital over the past 19 months has brought more rapid changes to sec UP teams than we've ever seen before. The adversary is capable. They're motivated and they're deploying very sophisticated techniques that have pressured security pros like never before. And with me to talk about these challenges and how Splunk is helping customers respond as jane wang is the vice president of security products that Splunk jane. Great to have you on the cube. Thanks for coming on. >>Very nice to meet you. Thank you for having me. >>You're very welcome. So how d how can you think about or how do you think about the fact that the imperative to accelerate digital transformation has impacted security teams? How has it impacted sec ops teams in your view? >>Yeah. Well, just going back to our customers and what I've learned from all the customer conversations I have every every week many of our customers are under a massive digital transformation. They're moving to the cloud and the cloud opens up more attack surface, more attack work surface, there's more threats that come over cloud, new workspaces to attack services, new api is to manage secure and protect and our customers are really struggling to gain the visibility they need to really manage and secure across all that infrastructure. >>Yeah. And we've also seen the whole, obviously the work from home trend, the hybrid work movement, you know, people aren't set up for that. I mean, you remember people were ripping out literally ripping out desktops and bringing them home and you know, the home network had to be upgraded. So lots of changes there. And we've we've talked a lot in the cube jane about the fragmentation of tooling and the lack of qualified talent when we talked to see. So as you ask him, the number one problem, I can't get, I can't hire enough talent in the field of of cybersecurity. So I wonder if you can address how this has made it more difficult for security teams to maintain end to end visibility across their environments. What's the fundamental challenge there? >>Yeah, well you're really you're really nailing this. The fundamental challenges that many security products are not built to integrate seamlessly with one another. When I'm talking to customers, their frontline security operations teams often have 30 different consoles open on their monitor at one time and there really manual disjointed processes, the copying and pasting hash names and iP addresses from one consults the other. It slows them down. It really slows them down in protecting those threats. So because those products aren't assigned to integrate together and all that data from each of those security tools isn't brought into one place. It just exacerbates the challenge for security operations seems makes their job really, really hard to do. Which takes time. It takes time. It makes it harder to detect and respond to threats quickly and today more than ever we need to be able to detect and respond to threats quickly. >>Yeah, I do a weekly program called Breaking Analysis and once a quarter I look at the cyberspace and I use a chart to emphasize this complexity. It's it's a from a company called operative, I don't know if you've ever seen it but it's this eye chart, it's this taxonomy of the security landscape and it's mind blowing how much complexity there is. So how to Splunk help organization organizations address these challenges. >>Yeah, so I think bringing, we have one security operations platform cloud native cloud delivered. There are many parts of being able to streamline workflows for when you're first detect a threat or a potential threat right through to when teams close and immediate that threatened the changes in their environment to ensure they're protected. So the whole thing is helping security teams detects faster, investigate faster and respond faster to threat. There are four parts to that in our security operations, platform Splunk security cloud. The first one is advanced security analytics. So the nature of threats is evolving. They're becoming more sophisticated. We have very smart, well funded Attackers whose day job who spend all their time trying to break into organizations. So you need really advanced security analytics to detect those threats, then we need to automate security operations so that it's not so manual, so you don't have poor folks sitting in front of multiple consoles doing manual tasks to respond to those threats and make sure their organizations are protected. One key thing is that this year Splunk acquired true Star so that we can bring in d do rationalize multiple sources of threat intelligence and apply that threat intelligence both to our analytics and our operations so that you have broader insights from the security community outside Splunk and that intelligence can really help and speed both detection and response. And the last thing that's been true about Splunk since spunk became Splunk many many years ago is that we are committed to partners and we deeply integrate with many other security tools uh in a very seamless way. So whatever investments customers have made within their security operations center, we will integrate and bring together those tools in one workspace. So there's the big advantages I think you get when, when you run your security operations said transplant security cloud, >>that's a nice little description. And having followed Splint for so many years, it's sort of, it tracks the progression of your ascendancy. You know, you started you you we we used to have log analytics that were just impossible. You sort of made that much easier took that to advanced kind of use big data techniques even though Splunk really never used that term. But but you were like the leader and big data um in terms of being able to analyze um uh data to help remediate issues. The automation key is p pieces key the acquisitions. You've made a very interesting um you mentioned around de doop threat intelligence but also you've done some cool stuff in the cloud and we always used to say jane watch for the ecosystem. We early too early, you know, last decade we saw you as a really hot company. We said one of the keys to your growth is going to be the ecosystem. And you've you've clearly made some progress there. I wonder if you could tell us more About the announcements that you're making here at.com. >>Yeah. Well we're going back everything that we do on the security team, every line of code every engineer writes is all around helping detect, investigate and respond faster to really secure organizations. So if I look at those intern I start with faster time to detect what have we done. So bringing in the threat intelligence that I mentioned again, that's really gonna help to take new threats and to take them really, really quickly. You don't have to spend time going and looking manually at external sources of threat intelligence. It will be brought right in to enterprise security at your fingertips. So that that's pretty huge. We're bringing other more advanced content right into our stem enterprise security. So that will help detect threats that our research team sees as emerging again. This is going to just bring bring that intelligence right to customers where they work every day, um faster time to investigate. So this is this is really exciting uh back in november we reduced and we are really something called risk based alerting. That is an amazing new capability that we've iterated on ever since. And we have more iterations that we're announcing um tomorrow actually. And so risk based alerting pulls together what may have been single atomic alerts that can often be overwhelming to a sock brings those together into one overarching alert that helps you see the whole pattern of an attack, the whole series of things that happened over time. That might be an attack on your organization. One customer told us that that reduced the time it took for them to do an investigation from eight hours down to 10 minutes to really helping faster time to investigate. And then the next one is faster time to respond. So we have a new visual playbook editor for our sore security orchestration and response to which is in the cloud but also available on prayer. But that new visual playbook editor really reduces the need for custom code. Makes playbooks more modular, so it can help anyone in the security operations team respond to threats really, really quickly. So faster time to detect, investigate and respond those are, those are really cool for us. And then there's some exciting partnerships that I want to talk about just to really focus on reducing the burden of all those disparate tools on consoles and bringing them down and and integrating them together. So we'll have some announcements. There are new integrations that we're releasing with Mandiant Aziz scalar and detects. I'm personally very excited about a fireside chat that Kevin Mandia, the Ceo and president of Mandiant, we'll be having tomorrow with our Ceo Doug merit. So those are some of the things we're announcing. It's a big year for security. Very excited >>to tell you that's, that's key. I want to just kind of go through and follow up on some of the faster time to detect with the threat intelligence. That's so important because we read about how long it takes sometimes for for organizations to even find out that somebody has infiltrated their environment. This risk based learning, it sounds like and you're so right, it's like paper cuts having a bottoms up analysis. It's almost overwhelming. You don't have a sense as to really where the focus should be. So if you can have more of a top down, hey start here and sort of bucket ties things. It's gonna, it's gonna accelerate and then the faster response time. The thing that strikes me jane with your visual playbook editor is as you well know, the the way in which bad guys get in now they're very stealthy, you almost have to be stealthy in your response. So if you have to write custom code that's going to alert the bad guys that they're they're seeing now seeing code that they've never seen before, they must have detected us and then they escalate, you know, they get you in a harder, tighter headlock. Uh and I love the partnerships, you know, we, we followed the trend toward remote security. Cloud security, where's the scale is a big player, Amanda you mentioned. So that's that's great too. I mean it feels like the puzzle pieces are coming together. It's it's almost like a game of constant, you know, you're never there but you've got to stay vigilant. >>I really think so today. I mean it's been a great 12 months that's blank. We have done so much over the past year leading up to this.com. I'm very excited to talk to folks about it. I think one thing I didn't really mention that I kind of touched on earlier in the talk that we're having was around cloud security monitoring. So holistic cloud security monitoring. We've got some updates there as well with deeper integrations into G C P A W S Azure, one dr SharePoint box net G drive. Like customers are using many, many cloud services today and they don't have a holistic view across all those services I speak to see so every week that tell me they just really need one view. Not to go into each of those cloud service providers or cloud services, one at a time to look at the security posture, they need that all in a central location. So we normalize, we ingest and normalize data from each of those cloud services so you can see threats consistently across each of them. I think that's really, really something different that Splunk is doing um that other security offerings are not doing. >>I think that's a super important point and I do hear that a lot from CsoS where they say look we have so many different environments, so many different tools and they each have their own little framework so we have to go in and and investigate and then come back out and then our teams have to go into a new sort of view and come back out and and they just run out of time and they just don't again, lack of lack of skills to actually do this, can't hire half fast enough, can't train fast enough. So so that higher level view but still the ability to drill down and understand what those root causes. That's it's a it's a it's a top down bottoms up type of approach and and so as opposed to just throwing grains of sand at the second teams and then hoping, you know, they find the pearl, so jane, I'll give you the last word, Maybe some final thoughts. >>No, I just wanted to thank everyone for listening. I want to thank everyone for joining dot com 21. We're very excited to hear from you and speak with you. So thank you very much. >>Excellent. Great having you in the cube, keep it right there, everybody for more coverage of the cube. Splunk dot com 21. We'll be right back, >>Yeah.

Published Date : Oct 29 2021

SUMMARY :

Great to have you on the cube. Very nice to meet you. So how d how can you think about or how do you think about the fact that the imperative and our customers are really struggling to gain the visibility they need to really manage and secure So as you ask him, the number one problem, I can't get, I can't hire enough talent in the field of So because those products aren't assigned to integrate together and all that data from each So how to Splunk that threat intelligence both to our analytics and our operations so that We said one of the keys to your growth is going to be the ecosystem. So bringing in the threat intelligence that I mentioned again, that's really gonna help to take to tell you that's, that's key. one at a time to look at the security posture, they need that all in a central location. and and so as opposed to just throwing grains of sand at the second teams and then hoping, So thank you very much. Great having you in the cube, keep it right there, everybody for more coverage of the cube.

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Jane Hite-Syed, Carol Jones, & Suzanne McGovern | Splunk .conf19


 

>>live from Las Vegas. It's the Cube covering Splunk dot com. 19. Brought to you by spunk. >>Okay, welcome back. Everyone secures live coverage in Las Vegas response dot com. I'm John Ferrier, host of the Cube. We're here for three days is a spunk. Spunk dot com 10 anniversary of their end user conference way Got some great guests here. They talk about diversity, inclusion breaking the barrier. Women in tech We got some great guests. Jane Heights, I add Si io National government service is Thanks for joining us. Appreciate it. Carol Jones, CEO Sandy and National Labs from Albuquerque Think coming on to CEOs of excited Suzanne McGovern. Diversity and inclusion talent leader for Splunk Thanks for guys joining us. Really appreciate it. I want to get into a panel you guys discuss because this is the area of really important to the workforce. Global workforce is made up of men and women, but most of the software text built by mostly men. But we get that second. I want to get in, find out what you guys are doing in your rolls because you guys, the journey is breaking through the barrier. Start with you. What's your role. What do you do? Their CEO. >>So I am CEO for National Government Service Is we do Medicare claims processing for the federal government. We also have a number of I t contracts with CMS. And, um, I organ. I have an organization of 331 people. Very different organization, Data center, infrastructure security gambit of I t, if you will. A great group of people divers were in Baltimore. Where? In Indianapolis. We're out of the kingdom office. How >>long have you been in 19 >>My career. So yes. Yeah. The waves. Yes. I have seen the waves have Daryl >>Jones and I'm c i o same National Laboratories. It's a federally funded research and development center. So we do research and development from on behalf of the U. S. Government. I have about 500 employees and 400 contractors. So we provide the I T for Sadia, all gametes of it, including some classified environments. >>A lot of security, your role. What's wrong? >>I'm the chief diversity officer. It's Plus I get the pleasure to do that every day. A swell, a cz. It's everyone's job. Not just magically explode. But I'm very honored to do that. How to look after talent. >>I want to compliment you guys on your new branding. Thank not only is a cool and really picking orange, but also that position is very broad and everything is trade message. But the big posters have diversity. Not a bunch of men on the posters. So congratulations, it's anger. Representative is really important. Worth mentioning. Okay, let's start with the journey. The topic you guys just talked about on a panel here in Las Vegas is female leaders smashing the glass ceiling. So when you smash his last ceiling, did you get caught? Was her bleeding? What happened? Take us for your journey. What was big? Take away. What's the learnings? Share your stories. >>Well, a lot of it, as I shared today with Panel, is really learning and be having that Lerner mindset and learning from something that you do, which is part of your life. And I use the example of I'm married to an Indian Muslim, went to India, spent some time with his family, and they told me Let's be ready at 6 30 and I said, Okay, I'm ready. I'm ready. Dressed in 6 30 nobody else was ready. And everyone in the room said, Well, we're gonna have Chai first we're gonna have some tea And I was like, Well, you said 6 30 and I'm ready And, um, everyone said, Well, you know, we need to relax. We need to connect. We need to have some time So I took that back and said, You know what? We all need to make time for tea Way. All need to connect with our people and the individuals that work with us, And I've kind of taken that on through the last 20 years of being married, Tim. But connecting with individuals and your teams and your partner's is what's important and as what Lead Meeks. I've built those allies and that great group of people that >>being people centric, relationship driven, not so much chasing promotions or those kinds. >>That's what's worked for me. Yes, >>Carol, it's been your journey. Stories >>start a little bit of beginnings. I've been in Tech over 30 years. I got a bachelor's and marketing, and then I was looking to get my master's. So I got, um, I s degree, but I didn't know even to go into that field. So my professor said you needed to go into my s, so don't know that's too hard. You can't do that. You know, you could do it. So it's always been challenging myself and continuing learning. I worked at IBM then I was there in the time when they did great layoffs. So no, e he was 93 right to left. Only wonder he's gonna be left by the end of the year. >>You know, for the younger audience out there M I s stands from management information systems. Before that, there was data processing division which actually relevant today. Quite a journey. What a great spirit. What's the one thing that you could share? Folks, this is a lot of young women coming into the workforce, and a lot of people are looking at inspirational figures like yourselves that have been there and done that. There's a lot of mentoring going on is a lot of navigation for young women and understand minorities. And they just you guys, there's no real playbook. You guys have experiences. What's your advice, folks out watching >>my number one advice. And I gave this to people who are wanting to go into leadership. Trust yourself. Trust to you. Are you all got to this place because of the successful person you are and just continue to trust yourself to take advantage of those opportunities. Take a risk. I took a risk when my total focus was in Medicare. I was asked to do another job and I took another, you know, position. And it wasn't in Medicare. So you have to take those opportunities and risk and just trust that you're gonna get yourself. >>Carol. You're >>similar. It's to continue to grow and to be resilient, there'll be times in your career like a layoff where you don't know what you're gonna do. You bounce back and make it into uneven. Better job on. Take risks. I took a risk. I went into cybersecurity. Spent 10 years there, continuing learning and the Brazilian >>learnings key, right? I mean, one of the things about security mentioned 10 years. So much has changed, hasn't it? >>Well, it's bad. Guys still outnumber the good guys. That has changed faster. Exactly. Technologies change. >>Just talk about the diversity inclusion efforts. You guys have a Splunk Splunk cultures very open transparent on the technology solutions very enabling you actually enabling a lot of change on the solution side. Now we're seeing tech for good kind of stories because Texas Tech Tech for business. But also you're seeing speed and times value time to mission value, a new term way kicked around this morning. It's time to mission value. >>Yes. So I'm glad you mentioned data, right? We're data company, and we're very proud that we actually whole star diversity inclusion numbers, right? So way moved the needle 1.8% on gender last year, year on year pride, but not satisfied. We understand that there's much more to diversity inclusion than just gender, But our strategy is threefold for diversity. Inclusion. So it's work force, workplace marketplace farces around just where talk is improving our representation so that these women are no longer the only. These are in the minority that were much more represented, and we're lucky we have three women and our board. We have four women in our C suite, so we're making good good progress. But there's a lot more to do, and as I say, it's not just about gender. We want to do way, nor the innovation is fueled by diversity. So we want to try. You know, folks of different races, different ethnicity, military veterans, people with disability. We need everyone. It's belongs to be, since >>you guys are all three leaders in the industry, Thanks for coming on. Appreciate that. I want to ask you guys because culture seems to be a common thread. I mean, I do so money talks and interviews with leaders for all types, from digital transformation to Dev ops, the security and they always talk speeds in fees. But all the change comes from culture people on what I'm seeing is a pattern of success. Diversity inclusion works well if it's in the culture of the company, so one filter for anyone a woman or anyone is this is a company culturally aligned with it. So that's the question is what do you do when you have a culture that's aligned with it? And what do you do? There's a culture that's not allow, so you want to get out. But how do you unwind and how do you navigate and how do you see the size of signals? Because the date is there >>a way to certainly really harness and failed a culture of inclusion. And that's through employee resource groups in particular. So it's plunks. More than 50% of our spelunkers are actually members. Followers are allies on employee resource. So gives community. It gives that sense of inclusion so that everyone could bring their whole Selves to work. So, to your point, it really does build a different culture, different level of connection. And it's super different. >>Any thoughts on culture and signals look for good, bad, ugly, I mean, because you see a good ways taken right. Why not >>take a chance, right? Right. No, I think, you know, like you look at it and you decide, like some young women we were talking to, You know, Is this the right company for you? And if not, can you find an ally? You know, it's a feeling that the culture isn't there and helped educate him on help to get him to be Jack of what does he and his leaders, I think we have to always ask ourselves, Are we being inclusive for everyone >>and mine? I would spend it a little bit. Is that diversity and thoughts And how? When I joined this organization. Culture is a big factor that needs to change and some of the things that I'm working on, but to bring people to the table and hear those different thoughts and listen to them because they all do think differently. No matter color, race, gender, that sort of thing. So diversity and thought is really something that I try to focus in on >>carry. Palin was just on the Cuban CMO of Splunk and top of the logo's on the branding and, she said, was a great team effort. Love that because she's just really cool about that. And she said we had a lot of diversity and thought, which is a code word for debate. So when you have diversity, I want to get your thoughts on this because this is interesting. We live in a time where speed is a competitive advantage speed, creativity, productivity, relevance, scale. These air kind of the key kind of modern efforts. Diversity could slow things down, too, so but the benefit of diversity is more thought, more access to data. So the question is, what do you guys think about how companies or individuals could not lose the speed keep the game going on the speed and scale and get the benefits of the diversity because you don't want things to grind down. Toe halts way Slugs in the speed game get data more diverse. Data comes in. That's a technical issue. But with diversity, you >>want a challenge that, to be honest, because we're a data company in the details. Irrefutable. Right? So gender diverse Teams up inform homogeneous teams by about 15% if you take that to race and ethnicity was up to 33%. Companies like ourselves, of course, their numbers see an uptick in share price. It's a business imperative, right? We get that. It's the right thing to do. But this notion that it slows things down, you find a way right. You're really high performance. You find a way best time. So it doesn't always come fast, right? Sometimes it's about patients and leadership. So I'm on the side of data and the data is there. If you tickle, di bear seems just perform better, >>so if it is slowing down, your position would be that it's not working >>well. Yes, I know. I think you got to find a way to work together, you know? And that's a beautiful thing about places like spun were hyper cool, right? It's crazy. Tons of work to do different things were just talking about this in the break way have this unwritten rule that we don't hire. I'll see jerks for >>gender neutral data, saris, origin, gender neutral data. >>Yeah, absolutely no hiring folks are really gonna, you know, have a different cultural impact there. No cultural adds the organization way. Need everyone on bats. Beautiful thing. And that's what makes it special. >>I think you know, is you start to work and be more inclusive. You start to build trust. So it goes back to what Jane was talking about relationships. And so you gotta have that foundation and you can move fast and still be reversed. I >>think that's a very key point. Trust is critical because people are taking chances whether they're male or female. If the team works there like you see a Splunk, it shouldn't be an issue becomes an issue when it's issue. All right, so big Walk away and learnings over the years in your journey. What was some moments of greatness? Moments of struggle where you brought your whole self to bear around resolving in persevering what were some challenges in growth moments that really made a difference in your life breaking through that ceiling. >>Wow. Well, um, I'm a breast cancer survivor, and I, uh, used my job and my strength to pull me through that. And I was working during the time, and I had a great leader who took it upon herself to make sure that I could work if I wanted. Thio are not. And it really opened that up for me to be able to say, I can still bring my whole self, whatever that is today that I'm doing. And I look back at that time and that was a strength from inside that gave me that trust myself. You're going to get through it. And that was a challenging personal time, But yet had so many learnings in it, from a career perspective to >>story thanks for sharing Caroline stories and struggles and successes that made him big impact of you. Your >>life. It was my first level one manager job. I got into cybersecurity and I didn't know what I was doing. I came back. My boss of Carol. I don't know what you did this year, and so I really had to learn to communicate. But prior to that, you know that I would never have been on TV. Never would have done public speaking like we did today. So I had to hire a coach and learn hadn't forward on communications. Thanks for sharing stories, I think a >>pivotal moment for me. I was in management, consultants say, for the first half of my career, Dad's first child and I was on the highway with a local Klein seven in the morning. Closet Night started on a Sunday midday, so I didn't see her a week the first night. I know many women who do it just wasn't my personal choice. So I decided to take a roll internal and not find Jason and was told that my career would be over, that I would be on a track, that I wouldn't get partner anymore. And it really wasn't the case. I find my passions in the people agenda did leadership development. I didn't teach our role. I got into diversity, including which I absolutely love. So I think some of those pivotal moments you talked about resilient earlier in the panel is just to dig, dying to know what's important to you personally and for the family and really follow your to north and you know, it works out in the end, >>you guys air inspiration. Thank you for sharing that, I guess on a personal question for me, as a male, there's a lot of men who want to do good. They want to be inclusive as well. Some don't know what to do. Don't even are free to ask for directions, right? So what would you advise men? How could they help in today's culture to move the needle forward, to support beach there from trust and all these critical things that make a difference what you say to that? >>So the research says that women don't suffer from a lack of mentorship. The sucker suffer from a lack of advocacy. So I would say if you want to do something super easy and impactful, go advocate for women, go advocate for women. You know who is amazing I there and go help her forward >>in Korea. And you can do that. Whatever gender you are, you can advocate for others. Yeah, also echo the advocacy. I would agree. >>Trust relationships, yes, across the board >>way, said Thio. Some of the women and our allies today WAAS bring your whole self. And I would just encourage men to do that, to bring your whole self to work, because that's what speeds up the data exchange. That's what it speeds up. Results >>take a chance, >>Take a chance, bring your whole self >>get trust going right. He opened a communicated and look at the date on the photo booth. Datable driver. Thank you guys so much for sharing your stories in The Cube, you think. Uses the stories on the Cube segments. Cube coverage here in Las Vegas for the 10th stop. Compass Accused seventh year John Ferrier with Q. Thanks for watching.

Published Date : Oct 23 2019

SUMMARY :

19. Brought to you by spunk. I want to get in, find out what you guys are doing in your rolls if you will. I have seen the waves have Daryl So we do research and development from on behalf of the U. A lot of security, your role. It's Plus I get the pleasure to do that I want to compliment you guys on your new branding. and be having that Lerner mindset and learning from something that you do, being people centric, relationship driven, not so much chasing promotions That's what's worked for me. Carol, it's been your journey. So my professor said you needed to go into my s, so don't know that's too hard. What's the one thing that you could share? of the successful person you are and just continue to trust yourself to take advantage of You're and the Brazilian I mean, one of the things about security mentioned 10 years. Guys still outnumber the good guys. very enabling you actually enabling a lot of change on the solution side. These are in the minority that were much more represented, So that's the question is what do you do So, to your point, it really does build a different culture, because you see a good ways taken right. And if not, can you find an ally? Culture is a big factor that needs to change and some of the things that I'm working on, So the question is, what do you guys think about how So I'm on the side of data and the data is there. I think you got to find a way to work together, really gonna, you know, have a different cultural impact there. I think you know, is you start to work and be more inclusive. If the team works there like you see a Splunk, it shouldn't be an issue And I look back at that time and that that made him big impact of you. I don't know what you did this year, and so I really you talked about resilient earlier in the panel is just to dig, dying to know what's important to you So what would you advise men? So I would say if you want to do something super easy And you can do that. to bring your whole self to work, because that's what speeds up the data exchange. Thank you guys so much for sharing your

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Jane Allen & Jay Cline | Veritas Vision 2017


 

>> Male: Live from Las Vegas. It's theCUBE covering Veritas Vision 2017. Brought to you by Veritas. (upbeat music) >> Welcome to Las Vegas, everybody. This is the Cube and we are here covering Veritas Vision 2017. It's the hashtag Vtas, V-T-A-S Vision, and this is Day one of two days of coverage here. I'm with Stu Miniman. My name is Dave Vellante. Jane Allen and Jay Cline are here from PwC. Jane is a partner and principal and Jay is a partner. Folks, welcome to the Cube, good to see you. >> Thank you. >> Thank you. >> Thanks for having us. >> So PwC leading global consultancy, I would say one of the top three, four, easily. Top 2. Maybe even top 1. >> Jane: Yes. >> I mean, you guys are gold standard for global. You solve problems that most people can't even begin to touch, except for a handful of companies. Jane, let's start with you. What's hot these days in your world? >> So I lead a practice, an information governance practice here at PwC, founded in a lot of folks with technology, legal support, regulatory backgrounds. And it pertains to all companies these days, right? How do you manage your data, to manage all the risks and reap the benefits of it. Certainly a hot topic and certainly with your privacy regulations on board, cyber risk, and just again all the benefits of data that companies are trying to take advantage of. It's been a growing consultancy practice and something that's very relevant to companies of all industries. >> Jay, we've heard a lot today about GDPR. I know it's something that you've been knee-deep in. What do people need to know about GDPR? >> I think GDPR boils down to one proposition, being able to prove that you have control over people's data. I think that summarizes the 72 different requirements of GDPR. >> Yeah, so GDPR, for those of you who don't know, General Data Protection Regulation, came out of the EU. One person on theCUBE called it a socialist agenda. (Jane laughs) But it's serious business, and if you can't ... I mean, actually, Jay, summarize, you know, what people should know about the exposure. I mean, essentially you have to be able to identify personal information and be able to delete that personal information on request, right, for any European Union citizen? >> Resident or citizen. >> Right, okay. >> That's right. >> So if somebody walks into Joe's pizza shop and says I want to sign up a bingo card to get, you know, mailings and your emailings, technically speaking, that person, if they wanted to do business in the EU, is responsible, is that right? >> You've got to know 360 degree view of all the personal data that you have of your employees, your consumers, your customers. You've got to be able to produce evidence on demand that you have this level of control. And whenever somebody comes in and asks for access to their data, to correct it, to export it, to their email, or to erase it, you've got to know whether you can deny that request or do you have to fulfill it, and you usually only have 30 days to fulfill it. >> So is this one of the hotter topics going on in your world these days? And what percent of your clients are actually prepared? >> I'll let Jay comment on how many are prepared, but you know, I think most companies, frankly, are trying to figure out how to be compliant and what is it they actually need to do. But it is a hot topic. I think even before GDPR, the landscape was already complex, right? People are trying to respond to litigation investigations, retention requirements from regulations, cyber risk, how do we manage it? And it's all about, what data do we have, where is it, and what are we doing with it, and how are we controlling it? And those questions are already there. GDPR highlights it. And with a May 2018 deadline, I mean, it's really putting the spotlight on this topic. >> Oh, yeah, that's one little, the fact that we forgot to mention, the clock is ticking. We're down under a year. So how about customer readiness? >> I think when we cross the one-year milestone in May, a lot of boards got exercised. The phone started ringing off the hooks, because they realized, we only have one more budget cycle to get this done. And so now I think, they're realizing that because GDPR hits the tech stack, and the IT budgets had already been planned for, the release cycles had already been put in place, they're now starting to ask, well, we can't get everything done by next May. What are the most important high-risk things that we do need to get done? And there's going to be more spillover work after May, I think. >> I think this highlights something that was already present in terms of the need for cross-functional senior leadership to pay attention to this, right? This isn't just a legal or privacy topic. It isn't just an IT topic. This really hits across organization and these folks need to work together. >> Jane, could you help us kind of uplevel a little bit. If I look at information governance, you mentioned it's super complex. You know, every company I talked to, they're deploying more and more sass. In the keynote this morning, Veritas said most of their customers have at least three clouds. We find, you know, absolutely it's, the strategy, especially if I start, oh, well, just different groups start using things, then how do I govern it? Do I even worry about security and backup and everything like that? How does this fit in the overall picture for most customers? >> Well, I guess that's what's interesting, right? There's no one right way of doing this right. And so it depends on your business, your industry, your customer base, your geographic location and outreach, and the data landscape. And you have to make smart decisions of what works within your corporate business culture even, of what is it that we need to keep and how we need to keep it and enable, you know, our engineers, our users, our customers, to leverage data, but also manage our risks. And there's just not one way to look at it. But again it goes down to really knowing what control you have, what you have, and where is it, right? But that's what's interesting, is for every company to figure out how is the best way for them to tackle it. >> So who's driving the information governance bus these days? I mean, with Sarbanes-Oxley it was the CFO. With the federal rules of civil procedure, it was kind of the general council. Who's really sort of in charge today? >> Well, I mean, depending on who owns it in an organization, looks a little different, usually legal and/or privacy, and oftentimes they are within the same group. >> Dave: So a chief privacy officer? >> Yeah. >> General counsel obviously involved, IT? >> Sometimes the compliance office again, depending how that's structured, but generally in that legal compliance privacy realm. >> Right. Okay, and when I think about some of those previous, you know, generations, Sox in particular, but also I guess FRO, CP. There was an effort within the company, because the ROI was just like, oh, we got to do this. It was like, okay, what does it cost to not comply, you know. >> Jane: Yeah. >> They would try to thread that needle. But there was always a faction that said, hey, we can... And consultancies were part of this. We can actually get value out of this. It's an opportunity to clean up your data, maybe to get rid of stuff, maybe you can reclaim some wasted space or, you know, et cetera, et cetera. Is that the way it is today with GDPR? And maybe we could unpack that a little bit. >> Yeah. One of the first steps that you have to take for GDPR, is to discover where all of your European personal data is, so data discovery effort. And in doing that, we've had a number of clients that for the first time, they've really put together a view of how they make money using data. And they're finding data, their chief marketing officer is finding data they didn't know they had. And so now they're able to monetize that data if they can use it responsibly within the privacy regulations of GDPR. So marketing is oftentimes funding, helping IT and Legal fund their GDPR efforts. >> And I think one of the other benefits is, if you have to go through this exercise to be compliant, but then you get additional insights in your data and you know where to invest more for those additional business opportunities, then at least hopefully you're reaping, again, more ROI off the effort. >> Well, I know the clock's ticking and there's a sort of virtual gun to organization's heads, but getting into that whole value notion, monetization, most organizations that we talked to, they don't really have an understanding of how data fuels monetization. Not necessarily monetizing the data, but how it contributes to monetization. What do you see in the customer base? >> This is the biggest area I think where GDPR is going to morph after May of 2018. I think the companies that can protect their exposure to this regulation, by going through the same processes to find out where their data is, they are positioned to monetize that data, to take advantage of new market opportunities, in Europe in particular. >> Okay. By the way, we should mention that this actually, the law is in effect, it's just the penalties aren't being-- >> Jay: Right. >> invoked at this point in time, right? >> Jay: That's right. >> So the recital is one-year grace period? And a lot of people are thinking, well, maybe we'll get another year of grace period. It's going to be really interesting to see how that goes down. And presumably the EU's going to go after the big pockets, right? I mean, those are the guys who have to be most concerned about this. But what about that midsize company? For your midsize clients, what are you advising them, that may not have the budgets of the big guys? >> We've been advising our clients that there are actually three ways that you can get hit by GDPR. The one that everybody's talking about is the famous 4% fine on your global revenues. That's what the regulators would impose on you if they discovered that you had an egregious violation of privacy. But there's another way that people aren't talking about that's going to be live on May 25th of 2018. And that's a new litigation risk for B2C. Anybody in the B2C space, even if you're midsize, if you violate the rights of a class of people, they can sue you on May 25th. And you can bet there are going to be law firms that are going to take advantage of this new situation. >> Dave: So they can sue you as individuals? >> As a class of individuals. There's also for people in the B2B space, we're seeing right away the contracting risk. And RFPs, they're saying as a condition to bid for this work, you've got to be able to sign that you are GDPR compliant. So you'll be locked out of the European market if you're B2B and you're not ready on May 2018. >> So we were talking off-camera. I was sort of struggling with trying to understand the direct fit with technology, Jay, and I thought you had a good answer. So what's technology's role in all of this? I mean, technology, can it help us get out of this problem? >> There's two parts where technology's very important. First is just discovering where your data is. That takes a lot of technology tools based on your tech stack, to be able to have an ongoing real-time data map. But the other one, the harder part, is responding to these individual rights requests, to ask for where their data is, to correct it, to delete it, to have that 360 view of individuals throughout your information environment. I think that takes IT to a new level. It hits all parts of the tech stack. >> All right. Because an individual can essentially say, I need to know what you know about me, right, that's part of it? >> Well, exactly. And a lot these companies that collect customer data and structured systems, they weren't really built for this type of exercise, to go through and search for something and actually dispose of it. And so companies are having to think very tactically. Okay, can I do this across all my different systems? And then certainly an unstructured data stores, again, what's there and how do we figure that out? >> So in the keynote this morning, we heard about GDPR. It looked like there was... I called it the doomsday clock, what was up on the wall. Can you bring back, how is Veritas doing? How are they helping customers with information governance and GDPR? >> Well, I think one of the really exciting things they demoed and talked about there is some of the data scanning or data profiling information, whether it be the classification or reporting out in terms of what is in this unstructured stores. Again, in order for companies to figure out what it is that they need to do process and technology wise is, what do we have out there again? And they're giving and enabling customers with some of their tools to be able to get some insights there, which I think is really transformative. I think people have been talking about these things from either a legal discovery standpoint, certainly a cyber risk. And I think this is just really adding on. So again, these tools help enable all of them, but certainly for GDPR. >> You have to get this first step right, the data discovery and classification, because if you scope GDPR too big, your compliance costs are through the roof. But if you scope it too small, your exposure's too big. So having a good discovery and classification approach, is critical to the success of your GDPR program. >> Has the industry solved the classification problem? I mean, for years, you really struggled to classify data. You could classify, you know, maybe data in an email archive, but data became so distributed by its very nature. Has that problem been solved? >> I would say no, but I've certainly seen a huge uptick in companies that actually finally just biting the bullet and getting themselves organized. But again, at least doing it because, hey, we need to figure it out for GDPR and privacy, we need to figure it out for cyber security controls, we need to figure it out for e-discovery, and just regular records management and how long we need to keep things. And so I think they recognize, wait, this satisfies a lot of different needs. But I don't know that there's an easy solution to it either. >> And the best practice organizations have automated that presumably, 'cause otherwise it's not going to scale, right? >> In the long-term that's what they're seeking, right, but you need to get the structure right, so you need to have file plans and organization of the information that makes sense to your employees and the way you do work, and then hopefully tie that back, knowing the data life cycle, to be able to classify things based on role, based on access, based on data type. So there's a lot of upfront work, but ultimately that's the-- >> So that's a taxonomical exercise, is that right? >> It is. That's a fancy word. >> Okay. But that's a heavy lift. And then it changes. >> It is, it is. But I think. Again, there's multiple benefits to that. >> Sure. >> And then going forward, you've got things in order for all those reasons. You can leverage the power of the technology, and then your functional groups and what work they do. People know what work they do, how long it generally it needs to be kept. And if you kind of can marry those two things from the business, the technology side, you can get set up and lauch. >> And then you can automate the policies around data retention. >> Exactly. >> What's your relationship specifically with Veritas? >> Well, you know, they're a client of ours, but we're also a client of theirs. >> Dave: Okay. >> I guess we're friends on a number of different angels and whatnot. But our practice tends to... Or we are technology agnostic in general, but we definitely want to stay on top of the different leaders in the industry. So that when we go to our clients, we can recommend, hey, these these are the top two or three that we believe could help you based on your situation, based on your data landscape, and be able to advise in that regard. So Veritas, between the backup tools, their e-discovery, and certainly some of the things they're doing on, you know, information governance and GDPR, is certainly one of the key providers that our clients should consider. >> So, I have sort of set up this discussion with a little background on PwC, clearly one of the leading consultancies out there. I would point to global, footprint, your deep industry expertise, you understand technology, you've been around, you know, you've got deep relationships. So other than those, what's the big difference, you know? Why PwC? And you can repeat some of those if you want. Probably be more articulate than I was. >> I think one thing that's different is what we call the end-to-end approach, where there might be other companies that have some of the qualities that you've talked about. But with GDPRs, it hits across five to ten different budgets in an enterprise. And we'll take a company through a transformational journey across all of them. We have auditors, and we have lawyers, and technologists, forensic scientists. GDPR really hits across all the functions of the enterprise. Because of our scale, we can hit all of these. Whereas other providers will take different slices of that. >> I would also add, PwC looks at our clients as forever clients. We're not looking for a one transaction and see you later. I mean, we look at them in terms of we want to be a firm that supports and partners them, whether it be on the consulting side, audit, tax, whatnot. And so we look at that that way in terms of trying to support them. And maybe that's just one point solution, maybe it's broader. But we'll bring the right experts to the table that fits for that client. And so we always want to think about it that way. While we might have ways and approaches that we leverage, hey, if they've got a specific need or a specific specialty, we'll bring the right expert to the firm. >> So that leads me to like my last question, which is, so it sounds like GDPR, and in chain of the context of that answer, is not just a tactical sort of pain relief project. Is it part of more strategic digital transformations? Are you able to make that connection? Or are people just in too much of a rush to fix the pain? >> No. Jay and I were talking about this earlier today. I mean, I'll use the example of some of the cloud transformation that companies are going through, right, if they haven't already, and thinking about their data and how they operate differently. And wait a minute, we don't need to forklift all of our data over. Let's think about it. And oh, by the way, let's make sure we're compliant with GDPR, right? So there's a number of different ways that you can kind of pull in different pieces that are helpful to clients. I think there were a number of different aspects to that, that we were talking about. So it's certainly something front and center, but it's not a one time, let's check the box and move on exercise either. >> Awesome. All right. We got to go. Thanks very much for coming the Cube. >> Thank you. >> Thanks. >> It's good to meet you guys. All right, keep it right there, everybody. We'll be back with our next guests. This is theCUBE. We're live from Veritas Vision 2017 in Las Vegas. We'll be right back. (techno music)

Published Date : Sep 19 2017

SUMMARY :

Brought to you by Veritas. This is the Cube I would say one of the top three, I mean, you guys are gold standard for global. and just again all the benefits of data I know it's something that you've been knee-deep in. I think GDPR boils down to one proposition, I mean, essentially you have to be able to identify of all the personal data that you have I mean, it's really putting the spotlight on this topic. the fact that we forgot to mention, And there's going to be more spillover work and these folks need to work together. In the keynote this morning, Veritas said And you have to make smart decisions the information governance bus these days? and oftentimes they are within the same group. Sometimes the compliance office again, what does it cost to not comply, you know. It's an opportunity to clean up your data, And so now they're able to monetize that data but then you get additional insights in your data but how it contributes to monetization. This is the biggest area I think where GDPR it's just the penalties aren't being-- the EU's going to go after the big pockets, right? And you can bet there are going to be law firms that you are GDPR compliant. and I thought you had a good answer. I think that takes IT to a new level. I need to know what you know about me, right, And so companies are having to think very tactically. So in the keynote this morning, we heard about GDPR. that they need to do process and technology wise is, is critical to the success of your GDPR program. You could classify, you know, But I don't know that there's an easy solution to it either. and organization of the information that makes sense That's a fancy word. And then it changes. Again, there's multiple benefits to that. And if you kind of can marry those two things And then you can automate the policies Well, you know, they're a client of ours, and certainly some of the things they're doing on, you know, And you can repeat some of those if you want. some of the qualities that you've talked about. And so we always want to think about it that way. and in chain of the context of that answer, And oh, by the way, We got to go. It's good to meet you guys.

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Tom Miller & Ankur Jain, Merkle | AWS re:Invent 2021


 

>>Okay, We're back at AWS Re. Invent. You're watching the >>cubes. Continuous coverage >>coverage. This is Day four. I think it's the first time it reinvent. We've done four days. This is our ninth year covering Reinvent. Tom Miller is here is the senior vice president of Alliances. And he's joined by Anchor Jane. Who's the global cloud? Practically practise lead at Merkel. Guys, good to see you. Thanks for coming on. Thank you, Tom. Tell us about Merkel. For those who might not be familiar with you. >>So Merkel is a customer experience management company. That is, um, under the Dentsu umbrella. Dense. Who is a global media agency? We represent one of the pillars which is global, our customer experience management. And they also have media and creative. And what Merkel does is provide that technology to help bring that creative and media together. They're a tech company. Yes. >>Okay, so there's some big big tail winds, changes, trends going on in the market. Obviously the pandemic. You know, the force marched to digital. Uh, there's regulation. What are some of the big waves that you guys are seeing that you're trying to ride? >>So what we're seeing is, uh we've got, uh, as a start. We've got a lot of existing databases with clients that are on Prem that we manage today within a sequel environment or so forth. And they need to move that to a cloud environment to be more flexible, more agile, provide them with more data to be able to follow that customer experience that they want with their clients, that they're all realising they need to be in a digital environment. And so that's a big push for us working with AWS and helping move our clients into that cloud environments. >>And you're relatively new to the ws world, right? Maybe you can talk >>about that anchor actually, as a partner. We may be new, but Merkel works with AWS has been working with AWS for over five years as a customer as a customer. So what we did was last year we formalise the relationship with us to be, uh, an advanced partner now. So we were part of the restock programme, basically which is a pool of very select partners. And Merkel comes in with the specialisation of marketing. So as Tom said, you know, we're part of, uh Dentsu umbrella are our core focuses on customer experience, transformation and how we do that Customer experience. Transformation is through digital transformation, data transformation. And that's where we see AWS being a very good partner to us to modernise the solutions that Martin can take to the market. >>So your on Prem databases is probably a lot of diversity on a lot of technical that when the cloud more agility, infinite resources do you have a tech stack? Are you more of an integrator? Right tool for the right job? Maybe you could describe >>your I can take that what time just described. So let me give you some perspective on what these databases are. These databases are essentially Markle, helping big brands 1400 Fortune 500 brands to organise their marketing ecosystem, especially Martek ecosystem. So these databases, they house customer touchpoints customer customer data from disparate sources, and they basically integrate that data in one central place and then bolt on analytics, data science, artificial intelligence, machine learning on top of it, helping them with those email campaigns or direct mail campaigns, social campaigns. So that's what these databases are all about, and and these databases currently set on Prem on Merkel's own data centre. And we have a huge opportunity to kind of take those databases and modernise them. Give all these ai ml type of capabilities advanced analytic capabilities to our customers by using AWS is the platform to kind of migrate. And you do that as a service. We do that as a service. >>Strategically, you're sort of transforming your business to help your customers transform their business right? Take away. It's it's classic. I mean, you really it's happening. This theme of, you know a W started with taking away the undifferentiated heavy lifting for infrastructure. Now you're seeing NASDAQ. Goldman Sachs. You guys in the media world essentially building your own clouds, right? That's the strategy. Yes, super clouds. We call >>them Super Cloud. Yeah, it's about helping our clients understand What is it they're trying to accomplish? And for the most part, they're trying to understand the customer journey where the customer is, how they're driving that experience with them and understanding that experience through the journey and doing that in the cloud makes it tremendously easier and more economical form. >>I was listening to the, uh, snowflake earnings call from last night and they were talking about, you know, a couple of big verticals, one being media and all. I keep talking about direct direct to consumer, right? You're hearing that a lot of media companies want to interact and build community directly. They don't want to necessarily. I mean, you don't want to go through a third party anymore if you don't have to, Technology is enabling that is that kind of the play here? >>Yes, Director Consumer is a huge player. Companies which were traditionally brick and mortar based or relied on a supply chain of dealers and distributors are now basically transforming themselves to be direct to consumer. They want to sell directly to the consumer. Personalisation comes becomes a big theme, especially indeed to see type of environment, because now those customers are expecting brands to know what's there like. What's their dislike? Which products which services are they interested in? So that's that's all kind of advanced analytics machine learning powered solutions. These are big data problems that all these brands are kind of trying to solve. That's where Merkel is partnering with AWS to bring all those technologies and and build those next generation solutions for access. So what kind >>of initiatives are you working >>on? So there are, like, 34 areas that we are working very closely with AWS number one. I would say Think about our marketers friend, you know, and they have a transformation like direct to consumer on the channel e commerce, these types of capabilities in mind. But they don't know where to start. What tools? What technologies will be part of that ecosystem. That's where Merkel provides consulting services to to give them a road map, give them recommendations on how to structure these big, large strategic initiatives. That's number one we are doing in partnership with AWS to reach out to our joint customers and help them transform those ecosystems. Number two as Tom mentioned migrations, helping chief data officers, chief technology officers, chief marketing officers modernise their environment by migrating them to cloud number three. Merkel has a solution called mercury, which is essentially all about customer identity. How do we identify a customer across multiple channels? We are Modernising all that solution of making that available on AWS marketplace for customers to actually easily use that solution. And number four, I would say, is helping them set up data foundation. That's through intelligent marketing Data Lake leveraging AWS technologies like blue, red shift and and actually modernise their data platforms. And number four is more around clean rooms, which is bring on your first party data. Join it with Amazon data to see how those customers are behaving when they are making a purchase on amazon dot com, which gives insights to these brands to reshape their marketing strategy to those customers. So those are like four or five focus areas. So I was >>gonna ask you about the data and the data strategy like, who owns the data? You're kind of alchemists that your clients have first party data and you might recommend bringing in other data sources. And you're sort of creating this new cocktail. Who owns the data? >>Well, ultimately, client also data because that that's their customers' data. Uh, to your point on, we helped them enrich that data by bringing in third party data, which is what we call is. So Merkel has a service called data source, which is essentially a collection of data that we acquire about customers. Their likes, their dislikes, their buying power, their interests so we monetise all that data. And the idea is to take those data assets and make them available on AWS data exchange so that it becomes very easy for brands to use their first party data. Take this third party data from Merkel and then, uh, segment their customers much more intelligently. >>And the CMO is your sort of ideal customer profile. >>Yeah, CMO is our main customer profile and we'll work with the chief data officer Will work with the chief technology officer. We kind of we bridge both sides. We can go technology and marketing and bring them both together. So you have a CMO who's trying to solve for some type of issue. And you have a chief technology officer who wants to improve their infrastructure. And we know how to bring them together into a conversation and help both parties get both get what they want. >>And I suppose the chief digital officer fits in there too. Yeah, he fits in their CDOs. Chief Digital officer CMO. Sometimes they're all they're one and the same. Other times they're mixed. I've seen see IOS and and CDOs together. Sure, you sort of. It's all data. It's all >>day. >>Yeah, some of the roles that come into play, as as Tom mentioned. And you mentioned C I o c T. O s chief information officer, chief technology officer, chief data officer, more from the side. And then we have the CMOS chief digital officers from the marketing side. So the secret sauce that Merkel brings to the table is that we know the language, what I t speaks and what business speaks. So when we talk about the business initiatives like direct to consumer Omni Channel E commerce, those are more business driven initiatives. That's where Merkel comes in to kind of help them with our expertise over the last 30 years on on how to run these strategic initiatives. And then at the same time, how do we translate translate those strategic initiatives into it transformation because it does require a lot of idea transformation to happen underneath. That's where AWS also helps us. So we kind of span across both sides of the horizon. >>So you got data. You've got tools, you've got software. You've got expertise that now you're making that available as a as a service. That's right. How far are you into that? journey of satisfying your business. >>Well, the cloud journey started almost, I would say, 5 to 7 years ago at Merkel, >>where you started, where you began leveraging the cloud. That's right. And then the light bulb went off >>the cloud again. We use clouds in multiple aspects, from general computing perspective, leveraging fully managed services that AWS offers. So that's one aspect, which is to bring in data from disparate sources, house it, analyse it and and derive intelligence. The second piece on the cloud side is, uh, SAS, offering software as a service offerings like Adobe Salesforce and other CDP platforms. So Merkel covers a huge spectrum. When it comes to cloud and you got >>a combination, you have a consulting business and also >>so Merkel has multiple service lines. Consulting business is one of them where we can help them on how to approach these transformational initiatives and give them blueprints and roadmaps and strategy. Then we can also help them understand what the customer strategy should be, so that they can market very intelligently to their end customers. Then we have a technology business, which is all about leveraging cloud and advanced analytics. Then we have data business that data assets that I was talking about, that we monetise. We have promotions and loyalty. We have media, so we recover multiple services portfolio. >>How do you mentioned analytics a couple times? How do you tie that? Back to the to the to the sales function. I would imagine your your clients are increasingly asking for analytics so they can manage their dashboards and and make sure they're above the line. How is that evolving? Yes, >>So that's a very important line because, you know, data is data, right? You bring in the data, but what you do with the data, how you know, how you ask questions and how you derive intelligence from it? Because that's the actionable part. So a few areas I'll give you one or two examples on how those analytics kind of come into picture. Let's imagine a brand which is trying to sell a particular product or a particular service to the to a set of customers Now who those set of customers are, You know where they should target this, who their target customers are, what the demographics are that's all done through and analytics and what I gave you is a very simple example. There are so many advanced examples, you know, that come into artificial intelligence machine learning those type of aspects as well. So analytics definitely play a huge role on how these brands need to sell and personalised the offerings that they're going to offer to. The customers >>used to be really pure art, right? It's really >>not anymore. It's all data driven. Moneyball. Moneyball? >>Yes, exactly. Exactly. Maybe still a little bit of hard in there, right? It doesn't hurt. It doesn't hurt to have a little creative flair still, but you've got to go with the data. >>That's where the expertise comes in, right? That's where the experience comes in and how you take that science and combine it with the art to present it to the end customer. That's exactly you know. It's a combination, >>and we also take the time to educate our clients on how we're doing it. So it's not done in a black box, so they can learn and grow themselves where they may end up developing their own group to handle it, as opposed to outsourcing with Merkel, >>teach them how to fish. Last question. Where do you see this in 2 to 3 years. Where do you want to take it? >>I think future is Cloud AWS being the market leader. I think aws has a huge role to play. Um, we are very excited to be partners with AWS. I think it's a match made in heaven. AWS cells in, uh, majority of the sales happen in our focus is marketing. I think if we can bring both the worlds together, I think that would be a very powerful story for us to be >>good news for AWS. They little your DNA can rub off on them would be good, guys. Thanks so much for coming to the Cube. Thank you. All right. Thank you for watching everybody. This is Dave Volonte for the Cube Day four aws re invent. Were the Cube the global leader in high tech coverage? Right back. Mhm. Mhm. Mhm.

Published Date : Dec 2 2021

SUMMARY :

You're watching the Tom Miller is here is the senior vice president of Alliances. is provide that technology to help bring that creative and media together. What are some of the big waves that you guys are seeing that you're trying to ride? And they need to move that to a cloud environment So as Tom said, you know, we're part of, uh Dentsu umbrella And you do that as a service. I mean, you really it's happening. And for the most part, they're trying to understand the Technology is enabling that is that kind of the play here? These are big data problems that all these brands are kind of trying to solve. I would say Think about our marketers friend, you know, and they have a transformation clients have first party data and you might recommend bringing in other data sources. And the idea is to take those data assets and make them available on AWS So you have a CMO And I suppose the chief digital officer fits in there too. So the secret sauce that Merkel brings to the table is that we know the language, So you got data. where you started, where you began leveraging the cloud. When it comes to cloud and you got Then we have a technology business, which is all about leveraging cloud and advanced analytics. the to the sales function. You bring in the data, but what you do with the data, how you know, how you ask questions and how you derive It's all data driven. It doesn't hurt to have a little creative flair still, but you've got to go with the data. That's where the experience comes in and how you take that science So it's not done in a black box, so they can learn and grow Where do you want to take it? I think aws has a huge role to play. Thanks so much for coming to the Cube.

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Som Shahapurkar & Adam Williams, Iron Mountain | AWS re:Invent 2021


 

(upbeat music) >> We're back at AWS re:Invent 2021. You're watching theCUBE and we're really excited to have Adam Williams on, he's a senior director of engineering at Iron Mountain. Som Shahapurkar, who's the product engineering of vertical solutions at Iron Mountain. Guys, great to see you. Thanks for coming on. >> Thank you >> Thank you. All right Adam, we know Iron Mountain trucks, tapes, what's new? >> What's new. So we've developed a SaaS platform for digitizing, classifying and bringing out and unlocking the value of our customer's data and putting their data to work. The content services platform that we've developed, goes together with an IDP that we call an intelligent document processing capability to do basic content management, but also to do data extraction and to increase workflow capabilities for our customers. >> Yeah, so I was kind of joking before Iron Mountain, the legacy business of course, everybody's seeing the trucks, but $4 billion company, $13 billion market cap, the stock's been on fire. The pandemic obviously has been a tailwind for you guys, but Som, if you had to describe it to like my mother, what's the sound bite that you'd give. >> Well the sound bite, as everyone knows data is gold today, right? And we are sitting figuratively and literally on a mountain of data. And now we have the technology to take that data partner with AWS, the heavy machinery to convert that into value, into value that people can use to complete the human story of healthcare, of mortgage, finance. A lot of this sits in systems, but it also sits in paper. And we are bridging that paper to digital divide, the physical and digital divide to create one story. >> This has been a journey for you guys. I mean, I recall that when you kind of laid this vision out a number of years ago, I think he made some acquisitions. And so maybe take us through that amazing transformation that Iron Mountain has made, but help the audience understand that. >> Transformations really been going from the physical records management that we've built our business around to evolving with our customers, to be able to work with all of the digital documents and not just be a transportation and records management storage company, but to actually work with them, to put their data to work, allowing them to be able to digitize a lot of their content, but also to bring in already digitized content and rich media. >> One of the problems that always existed, especially if you go back to back of my brain, 2006, the federal rules of civil procedure, which said that emails could now be evidence in a case and everyone like, oh, I don't like, how do I find email. So one of the real problems was classifying the information for retention policies. The lawyers wanted to throw everything out after whatever six or seven years, the business people wanted to keep everything forever. Neither of those strategies work, so classification and you couldn't do it manually. So have you guys solved that problem? How do you solve that problem? Does the machine intelligence help? It used to be, I'll use support vector machines or math or probabilistic, latent, semantic, indexing, all kinds of funky stuff. And now we enter this cloud world, have you guys been able to solve that problem and how? >> So our customers already have 20 plus years of retention rules and guidelines that are built within our systems. And we've helped them define those over the years. So we're able to take those records, retention schedules that they have, and then apply them to the documents. But instead of doing that manually, we're able to do that using our classification capabilities with AI ML and that Som's expertise. >> Awesome, so lay it on me. How do you guys do that? It's a lot of math. >> Yeah, so it can get complicated real fast, but at a simple level, what's changed really from support beta machines of 2006 to today is the scale at which we can do it, right? The scale at which we are bringing those technologies. Plus the latest technologies of deep learning, your conventional neural networks going from a bag of characters and words to really the way humans look at it. You look at a document and you know this is an invoice or this is a prescription, you don't have to even know to read to know that, machines are now capable of having that vision, the computer vision to say prescription, invoice. So we train those models and have them do it at industrial scale. >> Yeah, because humans are actually pretty bad at classifying at scale. >> At scale like their back. >> You remember, we used to try to do, oh, it was just tag it, oh, what a nightmare. And then when something changes and so now machines and the cloud and Jane said, how about, I mean, I presume highly regulated industries are the target, but maybe you could talk about the industry solutions a little bit. >> Right. Regulated industries are a challenge, right. Especially when you talk about black box methodologies like AI, where we don't know, okay, why does it classify this as this and that is that? But that's where I think a combined approach of what we are trying to say, composite AI. So the human knowledge, plus AI knowledge combined together to say, okay, we know about these regulations and hey, AI, be cognizant of this regulations while you do our stuff, don't go blindly. So we keep the AI in the guardrails and guided to be within those lines. >> And other part of that is we know our customers really well. We spent a lot of time with them. And so now we're able to take a lot of the challenges they have and go meet those needs with the document classification. But we also go beyond that, allowing them to implement their own workflows within the system, allowing them to be able to define their own capabilities and to be able to take those records into the future and to use our content management system as a true content services platform. >> Okay, take me through the before and the after. So the workflow used to be, I'd ring you up, or maybe you come in and every week grab a box of records, put them in the truck and then stick them in the Iron Mountain. And that was the workflow. And you wanted them back, you'd go get it back and it take awhile. So you've digitized that whole and when you say I'm inferring that the customer can define their own workflow because it's now software defined, right. So that's what you guys have engineered. Some serious engineering work. So what's the tech behind that. Can you paint a picture? >> So the tech behind it is we've run all of our cloud systems and Kubernetes. So using Kubernetes, we can scale really, really large. All of our capabilities are obviously cloud-based, which allows us to be able to scale rapidly. With that we run elastic search is our search engine and MongoDB is our no SQL database. And that allows us to be able to run millions of documents per minute through our system. We have customers that we're doing eight million documents a day for the reel over the process. And they're able to do that with a known level of accuracy. And they can go look at the documents that have had any exceptions. And we can go back to what Som was talking about to go through and retrain models and relabel documents so that we can catch that extra percentage and get it as close to 100% accuracy as we would like, or they would like. >> So what happens? So take me through the customer experience. What is that like? I mean, do they still... we you know the joke, the paperless bathroom will occur before the paperless office, right? So there's still paper in the office, but so what's the workload? I presume a lot of this is digitized at the office, but there's still paper, so help us understand that. >> Customers can take a couple of different paths. One is that we already have the physical documents that they'd like us to scan. We call that backfile scanning. So we already have the documents, they're in a box they're in a record center. We can move them between different records centers and get them imaged in our high volume scanning operation centers. From there-- >> Sorry to interrupt. And at that point, you're auto classifying, right? It's not already classified, I mean, it kind of is manually, but you're going to reclassify it on creation. >> Correct. >> Is that electronic document? >> For some of our customers, we have base metadata that gives us some clues as to what documents may be. But for other documents, we're able to train the models to know if their invoices or if their contracts commonly formatted documents, but customers can also bring in their already digitized content. They can bring in basic PDFs or Word documents or Google Docs for instance, but they can also bring in rich media, such as video and audio. And from there, we also do a speech to text for video and audio, in addition to just basic OCR for documents. >> Public sector, financial services, health care, insurance, I got to imagine that those have got to be the sweet spots. >> Another sweet spot for us is the federal space in public sector. We achieved FedRAMP, which is a major certification to be able to work with, with the federal government. >> Now, how would he work with AWS? What's your relationship with them? How do you use the cloud? Maybe you could describe that a little bit. >> Well, yeah, at multiple levels, right? So of course we use their cloud infrastructure to run our computing because with the AI and machine learning, you need a lot of computing power, right. And AWS is the one who can reliably provide it, space to store the digital data, computing the processes, extract all the information, train our models, and then process these, like he's talking about, we are talking about eight, 12, 16 million documents a day. So now you need seconds and sub second processing times, right? So at different levels, at the company infrastructure level, also the AI and machine learning algorithms levels, AWS has great, like Tesseract is one the ones that everyone knows but there is others purpose-built model APIs that we utilize. And then we'll put our secret sauce on top of that to build that pathway up and make it really compelling. >> And the secret sauce is obviously there's a workflow and the flexibility of the workflow, there's the classification and the machine learning and intelligence and all the engineering that makes the cloud work you manage. What else is there? >> Knowledge graphs, like he was saying, right, the domain. So mortgage is not that a document that looks very similar in mortgage versus a bank stated mortgage and bank statement in healthcare have different meanings. You're looking at different things. So you have something called a knowledge graph that maintains the knowledge of a person working in that field. And then we have those created for different fields and within those fields, different applications and use cases. So that's unique and that's powerful. >> That provides the ability to prior to hierarchy for our customers, so they can trace a document back to the original box that was given to us some many years ago. >> You got that providence and that lineage, I know you're not go to market guys, but conceptually, how do you price? Is it that, it's SaaS? Is it licensed? Is it term? Is it is a consumption based, based on how much I ingest? >> We have varying different pricing models. So we first off we're in six major markets from EU, Latin America, North America and others that we serve. So within those markets, we offer different capabilities. We have an essentials offering on AWS that we've launched in the last two weeks that allows you to be able to bring in base content. And that has a per object pricing. And then from there, we go into our standard edition that has ability to bring in additional workflows and have some custom pricing. And then we have what we call the enterprise. And for enterprise, we look at the customer's problem. We look at custom AI and ML models who might be developing and the solution that we're having to build for them and we provide a custom price and capability for what they need. >> And then the nativists this week announced a new glacier tier. So you guys are all over that. That's where you use it, right? The cheapest and the deepest, right? >> Yeah, one of the major things that AWS provides us as well is the compliance capabilities for our customers. So our customers really require us to have highly secure, highly trusted environments in the cloud. And then the ability to do that with data sovereignty is really important. And so we're able to meet that with AWS as well. >> What do you do in situations where AWS might not have a region? Do you have to find your own data center to do that stuff or? >> Well, so data privacy laws can be really complex. When you work with the customer, we can often find that the nearest data center in their region works, but we also do, we've explored the ability to run cloud capabilities within data centers, within the region that allows us to be able to bridge that. We also do have offerings where we can run on-premise, but obviously our focus here is on the cloud. >> Awesome business. Does Iron Mountain have any competitors? I mean like... >> Yeah. >> You don't have to name them, but I mean, this is awesome business. You've been around for a long time. >> And we found that we have new competitors now that we're in a new business. >> They are trying to disrupt and okay. So you guys are transforming as an incumbent. You're the incumbent disruptor. >> Yes. >> Yes, it's self disruption to some extent, right. Saying, hey, let's broaden our horizon perspective offering value. But I think the key thing is, I want to focus more on the competitive advantage rather than the competitors is that we have the end to end flow, right? From the high volume scanning operations, trucking, the physical world, then up and about into the digital world, right? So you extract it, it's not just PDFs. And then you go into database, machine learnings, unstructured to structured extraction. And then about that value added models. It's not just about classification. Well, now that you have classified and you have all this documents and you have all this data, what can you glean from it? What can you learn about your customers, the customers, customers, and provide them better services. So we are adding value all throughout this chain. And think we are the only ones that can do that full stack. >> That's the real competitive advantage. Guys, really super exciting. Congratulations on getting there. I know it's been a lot of hard work and engineering and way to go. >> Thank you. >> It's fun. >> Dave: It's good, suppose to have you back. >> Thanks. >> All right and thank you for watching. This is Dave Vellante for theCUBE, the leader in live tech coverage. (upbeat music)

Published Date : Dec 2 2021

SUMMARY :

the product engineering All right Adam, we know and to increase workflow describe it to like my mother, And now we have the I mean, I recall that when you of the digital documents So have you guys solved that problem? and then apply them to the documents. How do you guys do that? of having that vision, Yeah, because humans but maybe you could talk about and guided to be within those lines. and to be able to take those inferring that the customer and get it as close to 100% we you know the joke, One is that we already And at that point, you're And from there, we also have got to be the sweet spots. to be able to work with, How do you use the cloud? And AWS is the one who that makes the cloud work you manage. that maintains the knowledge to prior to hierarchy and others that we serve. So you guys are all over that. And then the ability to do here is on the cloud. Does Iron Mountain have any competitors? You don't have to And we found that we So you guys are transforming Well, now that you have classified That's the real competitive advantage. suppose to have you back. the leader in live tech coverage.

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Data Drivers Snowflake's Award Winning Customers


 

>>Hi, everyone. And thanks for joining us today for our session on the 2020 Data Drivers Award winners. I'm excited to be here today with you. I'm a lease. Bergeron, vice president, product marketing for snowflake. Thes rewards are intended to recognize companies and individuals for using snowflakes, data cloud to drive innovation and impact in their organizations. Before we start our conversations, I want to quickly congratulate all of our award winners. First in the business awards are data driver of the year is Cisco. Our machine learning master is you Nipper, Our data sharing leader is Rakuten. Our data application of the year is observed and our data for good award goes to door dash for the individual and team awards. We first have the cost. Jane, Chief Digital officer of Paccar. We have a militiamen, director of cybersecurity and data science winning our data science Manager of the Year award at Comcast for a date. A pioneer of the year. We have Faisal KP, who's our senior manager of enterprise data Services at Pizza Hut. And lastly, we have our best data team going to McKesson, led by Jimmy Herff Data and Analytics platform leader Huge congratulations to all of these winners. It was very difficult to pick them amongst amazing set of nominations. So now let's dive into our conversations. We'll start with the data driver of the year. Representing Cisco today is Robbie. I'm a month do director data platform, data and analytics. >>Let me welcome everybody to the wonderful. Within a few years before Cisco used to be a company, you know, in making the decisions partly with the data and partly with the cuts. Because, you know, the data is told in multiple places the trading is not done right and things like that. So we, you know, really understood it. You know what was a challenge in the organism? By then we defined the data strategy on we put in a few plants in place, and it is working very well. But what is more important is basically how we provide the data towards data scientists and the data community in Cisco. I'm making them available in a highly available scalable on the elastic platforms. That's where you know, snowflake came into picture really very well for arrest, along with the other data strategies that we have had in place more importantly, data. Democratization was a key. You know, you along with the simplification, something technologies involved in the past. Our clients need to be worrying, laudable the technologies involved, you know, for example, we used to manage her before we make it. Snowflake Andi Snowflake, in a solve all of these problems for us with the ease on it. Really helping enabling a data data given ordinances in our >>system. In the data sharing leaders category, Rockhampton was our winner. We have mark staying trigger VP of analytics here to share their story. I >>wanna thank Snowflake for the award, and it's an honor to be a today. The ease of use of snowflake has allowed projects to move forward innovation to move forward in a way that it simply couldn't have done on old Duke systems or or or other platforms. And I think the truth the same is true for us on a lot of the similar topics, but also in the data sharing space, data sharing is a part off innovation. Like I think, most of the tech companies we work with certainly are business partners, merchants, but also with a range of other service providers and other technology vendors, um on other companies that we strategically share data with 2 May benefit of their service or thio to allow data modeling or advanced data collaboration or strategic business deals using the data and evaluated with the data on. But I think if you look Greece snowflake, you would see a lot of time and effort money going to just establishing that data connection that often involved substantial investments in technology data pipelines, risk evaluation, hashing, encrypt encryption. Security on what we found with snowflakes sharing functionality is that we can not eliminate those concerns, but that the technology just supports the ability to share data securely easily, quickly in a way that we could never do >>previously. Now we have a really inspiring winner of the data for good award door dash with their Project Dash Initiative here to speak about their work is act shot near Engineering manager >>Thank you sports to snowflake for recognizing us for this initiative. Eso For those of you who don't know, Dash, the logistics technology platform company that connects people with the best in their cities and Project Dash, our flagship social impact program, uses the door dash logistics platform to tackle the challenges like hunger and food waste. It was launched in 2018 on over the first two years in partnership with food recovery organizations, we powered the delivery off over £2 million of surplus food from businesses to hunger relief agencies across the U. S. And Canada. Andi simply do Toko with tremendous need has a much we were ableto power. The delivery often estimated 5.8 million meals to food insecure communities and frontline workers across 48 states on the 3.5 million off. These meals have been delivered since much. We do all of our analysis for our business functions from like product development to skills and social impact in snowflake On the numbers I just provided here actually have come from Snowflake on. We have used it to provide various forms of reporting, tow our government and non profit partners on this snowflake. We can help them understand the impact, analyzed friends and ensure complaints in cases where we are supporting efforts for agencies like FEMA, our USDA onda. Lastly, our team is really excited to be recognized by snowflake for using data for good. It has reminded us to continue doubling down on our commitment to using our product and expertise to partner with communities we operated. Thank you again. >>The winner of the machine Learning Master's word is unit for Energy. Viola Sarcoma Data Innovation leader is here on behalf of unit for >>Hello, everyone, Thanks for having me here. It's really a pleasure. And we were really proud to get this award. It means a lot for you. Nipper. It's huge recognition for our effort since last couple of years assed part of our journey and also a celebration off our success now for you. Newport. It would not be possible to start looking at Advanced Analytics techniques, not having a solid data foundation in place. And that's where we invested a lot in our cloud data platform in the cloud back by snowflake. Having this platform allowed us to employ advanced analytics techniques, combining data from Markit from fundamental data, different other sources of data like weather and extracting new friends, new signals that basically help us to partly or even in some cases fully automate some trading strategy. And we believe this will be really fundamental for for the future off raiding in our company and we will definitely invest in this area in the future. >>Our data application of the year is observed. Observers recognizes the most innovative, data driven application built on Snowflake and representing observed today is their CEO, Jeremy Burton. >>Let me just echo the thanks from the other folks on the coal. I mean snowflakes, separation of storage. Compute. I can't overstate what a really big deal it is. Um, it means that we can ingest in store data. Really? For the price of Amazon s three on board, we're in a category where vendors of historically charged for volume of data ingested. So you can imagine this really represents huge savings. Um, in addition, and maybe on a more technical note, snowflakes, elastic architectures really enables us to direct queries appropriately, based on the complexity of the query. So small queries or simple queries weaken director extra small warehouses and complex queries. We can direct, you know, for Excel. Or I think even a six x l is either there are on its way. The key thing there is that users they're not sitting around waiting for results to appear regardless of the query complexity. So I mean, really? The separation storage compute on the elastic architectures is a really big deal for us. >>Turning to the data Pioneer of the Year Award, I'm excited to be here with Faisal KP, senior manager of Enterprise Data Services from Pizza Hut. >>First of all, thank you, Snowflake, for giving this wonderful person. I think it means a lot for us in terms of validating what we're doing. I think we were one of the earlier adopters of Snowflake. We saw the vision of snowflake, you know, stories. Russell's computer separation on all the goodies, right? Right from back in 2017, I believe what snowflake enabled us is to actually get the scale with very little manpower, which is needed to man the entire system. So on the Super Bowl day, we have, you know, the entire crew literally a boardroom where the right from the CME, most of the CEOs to all the folks will be sitting and watching what is happening in the system. And we have to do a lot of real time analytics during that time. So with snowflake, you know, way used the elasticity of the platform we use, you know, platform you know their solutions, like snow pipe to basically automate the data ingestion coming through various channels, from the commas, from the stores, everything simultaneously. So as soon as the program is done, you know, we can scale scale down to our normal volume, which means we can, you know, way can save a lot. Of course. So definitely it snowflake has been game changer for us in terms of how we provide real time analytics. Our systems are used by thousands off restaurants throughout the country and, you know, by hundreds of franchisees. So the scale is something we have achieved with a lot of ability and success. >>In the category of data science Manager of the Year Award, we have a mission Min, director of cybersecurity and data science at Comcast. >>So thank you for having me and thank you for this wonderful award. So one of the biggest challenges you see in this other security spaces the tremendous amount of data that we have to compute every day to find the gold haystack. So one of the big challenges we overcame with by uniting snowflake was how do we go from like my other counterparts on the panel have said Theo operational overhead of maintaining a large data store and moved to more of results driven and data focused environment. And, you know, part of that journey was really the tremendous leadership. Comcast saying, You know, we want Thio through our day to day lives by relying less on operational work and Maura on answering questions. And so you know, over the last year we've really put Snowflake at the center of our ecosystem, knowing that it's elastic platform and its ability scale infinitely have given us the ability to dream big and use it to drop five cybersecurity. And while it's traditionally used for cybersecurity, we're starting to see the benefits right away and the beauty of the snowflake. Ecos, Miss. We're now able to enable folks that not traditionally have big data skills, but they have standards, sequel skills, and they could still work in the snowflake platform. So, you know, the transition to cloud has been very powerful for us as an organization. But I think the end story, the real takeaways, by moving our secretary operation to the cloud, we're now been able to enable more people and get the results they were looking for. You know, as other people have said fast, people hate to wait. So the scale of snowflake really shines. >>Yeah. Now, let's hear from our data Executive of the year. The Cost. Jane. Chief Digital Officer Packer. >>Thank you very much, Snowflake, for this really incredible recognition and honor of the work we're doing it back. Are we began. The first step in this process was for us to develop an enterprise Great data platform in the cloud capable off managing every aspect of data at scale. This this platform includes snowflake as our analytics data warehouse amongst many other technologies that we used for ingestion of data, data processing, uh, data governance, transactional, uh, needs and others. So this platform, once developed, has really helped us leverage data across the broad pack. Our systems and applications globally very efficiently and is enabling pack are, as a result to enhance every aspect. Selfish business with data. >>Ah, big congratulations again to all of the winners of the 2020 Data Drivers Awards. Thanks so much for joining us for a great conversation. And we hope that you enjoy the rest of the data cloud summit

Published Date : Nov 19 2020

SUMMARY :

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Janine Teo, Hugo Richard, and Vincent Quah | AWS Public Sector Online Summit


 

>>from around the globe. It's the Cube with digital coverage of AWS Public Sector online brought to you by Amazon Web services. Oven Welcome back to the cubes. Virtual coverage of Amazon Web services. Eight. Of his public sector summit online. We couldn't be there in person, but we're doing remote interviews. I'm John Curry. Your host of the Cube got a great segment from Asia Pacific on the other side of the world from California about social impact, transforming, teaching and learning with cloud technology. Got three great guests. You go. Richard is the CEO and co founder of Guys Tech and Jean Te'o, CEO and founder of Solve Education Founders and CEOs of startups is great. This is squad was the AIPAC regional head. Education, health care, not for profit and research. Ray Ws, he head start big program Vincent. Thanks for coming on, Janine. And you go Thank you for joining. >>Thanks for having us, John. >>We're not there in person. We're doing remote interviews. I'm really glad to have this topic because now more than ever, social change is happening. Um, this next generation eyes building software and applications to solve big problems. And it's not like yesterday's problems there. Today's problems and learning and mentoring and starting companies are all happening virtually digitally and also in person. So the world's changing. So, um, I gotta ask you, Vincent, we'll start with you and Amazon. Honestly, big started builder culture. You got two great founders here. CEO is doing some great stuff. Tell us a little bit what's going on. A pack, >>A lot of >>activity. I mean, reinvent and some it's out. There are really popular. Give us an update on what's happening. >>Thank you. Thank you for the question, John. I think it's extremely exciting, especially in today's context, that we are seeing so much activities, especially in the education technology sector. One of the challenges that we saw from our education technology customers is that they are always looking for help and support in many off the innovation that they're trying to develop the second area off observation that we had waas, that they are always alone with very limited resources, and they usually do not know where to look for in terms, off support and in terms off who they can reach out to. From a community standpoint, that is actually how we started and developed this program called A W s. At START. It is a program specifically for education technology companies that are targeting delivering innovative education solutions for the education sector. And we bring specific benefits to these education technology companies when they join the program. Aws ed start. Yeah, three specific areas. First one is that we support them with technical support, which is really, really key trying to help them navigate in the various ranges off A W S services that allows them to develop innovative services. The second area is leaking them and building a community off like minded education technology founders and linking them also to investors and VCs and lastly, off course, in supporting innovation. We support them with a bit off AWS cop credits promotional credits for them so that they can go on experiment and develop innovations for their customers. >>That's great stuff. And I want to get into that program a little further because I think that's a great example of kind of benefits AWS provides actually free credits or no one is gonna turn away free credits. We'll take the free credits all the time all day long, but really it's about the innovation. Um, Jean, I want to get your thoughts. How would solve education? Born? What problems were you solving? What made you start this company and tell us your story? >>Thank you so much for the question. So, actually, my co founder was invited to speak at an African innovation forum a couple of years back on the topic that he was sharing with. How can Africa skip over the industrialization face and go direct to the knowledge economy? Onda, the discussion went towards in orderto have access to the knowledge economy, unique knowledge. And how do you get knowledge Well through education. So that's when everybody in the conference was a bit stuck right on the advice waas. In order to scale first, we need to figure out a way to not well, you know, engaging the government and schools and teachers, but not depend on them for the successful education initiated. So and that's was what pain walk away from the conference. And when we met in in Jakarta, we started talking about that also. So while I'm Singaporean, I worked in many developing countries on the problem that we're trying to solve this. It might be shocking to you, but UNESCO recently published over 600 million Children and you are not learning on. That is a big number globally right on out of all the SDG per se from U N. Education. And perhaps I'm biased because I'm a computer engineer. But I see that education is the only one that can be solved by transforming bites. But since the other stg is like, you know, poverty or hunger, right, actually require big amount of logistic coordination and so on. So we saw a very, um, interesting trend with mobile phones, particularly smartphones, becoming more and more ubiquitous. And with that, we saw a very, uh, interesting. Fortunately for us to disseminate education through about technology. So we in self education elevate people out of poverty, true, providing education and employment opportunities live urging on tech. And we our vision is to enable people to empower themselves. And what we do is that we do an open platform that provides everyone effected education. >>You could How about your company? What problem you're you saw And how did it all get started? Tell us your vision. >>Thanks, John. Well, look, it all started. We have a joke. One of the co founder, Matthew, had a has a child with severe learning disorder and dyslexia, and he made a joke one day about having another one of them that would support those those kids on Duh. I took the joke seriously, So we're starting sitting down and, you know, trying to figure out how we could make this happen. Um, so it turns out that the dyslexia is the most common learning disorder in the world, with an estimated 10 to 20% off the worldwide population with the disorder between context between 750 million, up to 1.5 billion individual. With that learning disorder on DSO, where we where we sort of try and tackle. The problem is that we've identified that there's two key things for Children with dyslexia. The first one is that knowing that it is dislikes. Yeah, many being assessed. And the second is so what? What do we do about it? And so given or expertise in data science and and I, we clearly saw, unfortunately off, sort of building something that could assess individual Children and adults with dyslexia. The big problem with the assessment is that it's very expensive. We've met parents in the U. S. Specifically who paid up to 6000 U. S. Dollars for for diagnosis within educational psychologist. On the other side, we have parents who wait 12 months before having a spot. Eso What we so clearly is that the observable symptom of dyslexia are reading and everyone has a smartphone and you're smart. Smartphone is actually really good to record your voice. Eso We started collecting order recording from Children and adults who have been diagnosed with dyslexia, and we then trying a model to recognize the likelihood of this lecture by analyzing audio recording. So in theory, it's like diagnosed dyslexic, helping other undiagnosed, dyslexic being being diagnosed. So we have now an algorithm that can take about 10 minutes, which require no priors. Training cost $20. Andi, anyone can use it. Thio assess someone's likelihood off dyslexia. >>You know, this is the kind of thing that really changes the game because you also have learning progressions that air nonlinear and different. You've got YouTube. You got videos, you have knowledge bases, you've got community. Vincent mentioned that Johnny and you mentioned, you know making the bits driver and changing technology. So Jeannine and Hugo, please take a minute to explain, Okay? You got the idea. You're kicking the tires. You're putting it together. Now you gotta actually start writing code >>for us. We know education technology is not you. Right? Um, education games about you. But before we even started, we look at what's available, and we quickly realize that the digital divide is very real. Most technology out there first are not designed for really low and devices and also not designed for people who do not have Internet at hope so way. So with just that assessment, we quickly realized we need toe do something about on board, but something that that that problem is one eyes just one part of the whole puzzle. There's two other very important things. One is advocacy. Can we prove that we can teach through mobile devices, And then the second thing is motivation it again. It's also really obvious, but and people might think that, you know, uh, marginalized communities are super motivated to learn. Well, I wouldn't say that they are not motivated, but just like all of us behavioral changes really hard right. I would love to work out every day, but, you know, I don't really get identity do that. So how do we, um, use technology to and, um, you know, to induce that behavioral change so that date, so that we can help support the motivation to learn. So those are the different things that we >>welcome? >>Yeah. And then the motivated community even more impactful because then once the flywheel gets going and it's powerful, Hugo, your reaction to you know, you got the idea you got, You got the vision you're starting to put. Take one step in front of the other. You got a W s. Take us through the progression, understand the startup. >>Yeah, sure. I mean, what Jane said is very likely Thio what we're trying to do. But for us, there's there's free key things that in order for us to be successful and help as much people as we can, that is free things. The first one is reliability. The second one is accessibility, and the other one is affordability. Eso the reliability means that we have been doing a lot of work in the scientific approach as to how we're going to make this work. And so we have. We have a couple of scientific publications on Do we have to collect data and, you know, sort of published this into I conferences and things like that. So make sure that we have scientific evidence behind us that that support us. And so what that means that we had Thio have a large amount of data >>on and >>put this to work right on the other side. The accessibility and affordability means that, Julian said. You know it needs to be on the cloud because if it's on the cloud, it's accessible for anyone with any device with an Internet connection, which is, you know, covering most of the globe, it's it's a good start on DSO the clock. The cloud obviously allow us to deliver the same experience in the same value to clients and and parent and teacher and allied health professionals around the world. Andi. That's why you know, it's it's been amazing to to be able to use the technology on the AI side as well. Obviously there is ah lot of benefit off being able to leverage the computational power off off the cloud to to make better, argue with them and better training. >>We're gonna come back to both of you on the I question. I think that's super important. Benson. I want to come back to you, though, because in Asia Pacific and that side of the world, um, you still have the old guard, the incumbents around education and learning. But there is great penetration with mobile and broadband. You have great trends as a tailwind for Amazon and these kinds of opportunity with Head Start. What trends are you seeing that are now favoring you? Because with co vid, you know the world is almost kind of like been a line in the sand is before covert and after co vid. There's more demand for learning and education and community now than ever before, not just for education, the geopolitical landscape, everything around the younger generation. There's, um, or channels more data, the more engagement. How >>are you >>looking at this? What's your vision of these trends? Can you share your thoughts on how that's impacting learning and teaching? >>So there are three things that I want to quickly touch on number one. I think government are beginning to recognize that they really need to change the way they approach solving social and economic problems. The pandemic has certainly calls into question that if you do not have a digital strategy, you can't You can find a better time, uh, to now develop and not just developed a digital strategy, but actually to put it in place. And so government are shifting very, very quickly into the cloud and adopting digital strategy and use digital strategy to address some of the key problems that they are facing. And they have to solve them in a very short period of time. Right? We will talk about speed, three agility off the cloud. That's why the cloud is so powerful for government to adult. The second thing is that we saw a lot of schools closed down across the world. UNESCO reported what 1.5 billion students out of schools. So how then do you continue teaching and learning when you don't have physical classroom open? And that's where education, technology companies and, you know, heroes like Janine's Company and others there's so many of them around our ableto come forward and offer their services and help schools go online run classrooms online continue to allow teaching and learning, you know, online and and this has really benefited the overall education system. The third thing that is happening is that I think tertiary education and maybe even catch off education model will have to change. And they recognize that, you know, again, it goes back to the digital strategy that they got to have a clear digital strategy. And the education technology companies like, what? Who we have here today, just the great partners that the education system need to look at to help them solve some of these problems and get toe addressing giving a solution very, very quickly. >>Well, I know you're being kind of polite to the old guard, but I'm not that polite. I'll just say it. There's some old technology out there and Jenny and you go, You're young enough not to know what I t means because you're born in the cloud. So that's good for you. I remember what I t is like. In fact, there's a There's a joke here in the United States that with everyone at home, the teachers have turned into the I T department, meaning they're helping the parents and the kids figure out how to go on mute and how toe configure a network adds just translation. If they're routers, don't work real problems. I mean, this was technology. Schools were operating with low tech zooms out there. You've got video conferencing, you've got all kinds of things. But now there's all that support that's involved. And so what's happening is it's highlighting the real problems of the institutional technology. So, Vincent, I'll start with you. Um, this is a big problem. So cloud solves that one. You guys have pretty much helped. I t do things that they don't want to do any more by automation. This >>is an >>opportunity not necessary. There's a problem today, but it's an opportunity tomorrow. You just quickly talk about how you see the cloud helping all this manual training and learning new tools. >>We are all now living in a cloud empowered economy. Whether we like it or not, we are touching and using services. There are powered by the cloud, and a lot of them are powered by the AWS cloud. But we don't know about it. A lot of people just don't know, right Whether you are watching Netflix, um Well, in the old days you're buying tickets and and booking hotels on Expedia or now you're actually playing games on epic entertainment, you know, playing fortnight and all those kind of games you're already using and a consumer off the cloud. And so one of the big ideas that we have is we really want to educate and create awareness off club computing for every single person. If it can be used for innovation and to bring about benefits to society, that is a common knowledge that everyone needs to happen. So the first big idea is want to make sure that everyone actually is educated on club literacy? The second thing is, for those who have not embarked on a clear cloud strategy, this is the time. Don't wait for for another pandemic toe happen because you wanna be ready. You want to be prepared for the unknown, which is what a lot of people are faced with, and you want to get ahead of the curve and so education training yourself, getting some learning done, and that's really very, very important as the next step to prepare yourself toe face the uncertainty and having programs like AWS EC start actually helps toe empower and catalyzed innovation in the education industry that our two founders have actually demonstrated. So back to you Join. >>Congratulations on the head. Start. We'll get into that real quickly. Uh, head start. But let's first get the born in the cloud generation, Janine. And you go, You guys were competing. You gotta get your APS out there. You gotta get your solutions. You're born in the cloud. You have to go compete with the existing solutions. How >>do you >>view that? What's your strategy? What's your mindset? Janine will start with you. >>So for us, way are very aware that we're solving a problem that has never been solved, right? If not, we wouldn't have so many people who are not learning. So So? So this is a very big problem. And being able to liberate on cloud technology means that we're able to just focus on what we do best. Right? How do we make sure that learning is sufficient and learning is, um, effective? And how do we keep people motivated and all those sorts of great things, um, leveraging on game mechanics, social network and incentives. And then while we do that on the outside way, can just put almost out solved everything to AWS cloud technology to help us not worry about that. And you were absolutely right. The pandemic actually woke up a lot of people and hands organizations like myself. We start to get queries from governments on brother, even big NGOs on, you know, because before cove it, we had to really do our best to convince them until our troops are dry and way, appreciate this opportunity and and also we want to help people realized that in order to buy, adopting either blended approach are a adopting technology means that you can do mass customization off learning as well. And that's what could what we could do to really push learning to the next level. So and there are a few other creative things that we've done with governments, for example, with the government off East Java on top of just using the education platform as it is andare education platform, which is education game Donald Civilization. Um, they have added in a module that teaches Cove it because, you know, there's health care system is really under a lot of strain there, right and adding this component in and the most popular um mitigate in that component is this This'll game called hopes or not? And it teaches people to identify what's fake news and what's real news. And that really went very popular and very well in that region off 25 million people. So tech became not only just boring school subjects, but it can be used to teach many different things. And following that project, we are working with the federal government off Indonesia to talk about anti something and even a very difficult topic, like sex education as well. >>Yeah, and the learning is nonlinear, horizontally scalable, its network graft so you can learn share about news. And this is contextual data is not just learning. It's everything is not like, you know, linear learning. It's a whole nother ballgame, Hugo. Um, your competitive strategy. You're out there now. You got the covert world. How are you competing? How is Amazon helping you? >>Absolutely. John, look, this is an interesting one, because the current competitors that we have, uh, educational psychologist, they're not a tech, So I wouldn't say that we're competing against a competitive per se. I would say that we're competing against the old way of doing things. The challenge for us is to, um, empower people to be comfortable. We've having a machine, you know, analyzing your kids or your recording and telling you if it's likely to be dislikes. Yeah, and in this concept, obviously, is very new. You know, we can see this in other industry with, you know, you have the app that stand Ford created to diagnose skin cancer by taking a photo of your skin. It's being done in different industry. Eso The biggest challenge for us is really about the old way of doing things. What's been really interesting for us is that, you know, education is lifelong, you know, you have a big part in school, but when you're an adult, you learn on Did you know we've been doing some very interesting work with the Justice Department where, you know, we look at inmate and you know, often when people go to jail, they have, you know, some literacy difficulty, and so we've been doing some very interesting working in this field. We're also doing some very interesting work with HR and company who want to understand their staff and put management in place so that every single person in the company are empowered to do their job and and and, you know, achieve success. So, you know, we're not competing against attack. And often when we talk to other ethnic company, we come before you know, we don't provide a learning solution. We provide a assessment solution on e assessment solution. So, really, John, what we're competing against is an old way of doing things. >>And that's exactly why clouds so successful. You change the economics, you're actually a net new benefit. And I think the cloud gives you speed and you're only challenges getting the word out because the economics air just game changing. Right, So that's how Amazon does so well, um, by the way, you could take all our recordings from the Cube, interviews all my interviews and let me know how ideo Okay, so, um, got all the got all the voice recordings from my interview. I'm sure the test will come back challenging. So take a look at that e. I wanna come back to you. But I wanna ask the two founders real quick for the folks watching. Okay on Dhere about Amazon. They know the history. They know the startups that started on Amazon that became unicorns that went public. I mean, just a long list of successes born in the cloud You get big pay when you're successful. Love that business model. But for the folks watching that were in the virtual garages, air in their houses, innovating and building out new ideas. What does Ed start mean for them? How does it work? Would you would recommend it on what are some of the learnings that you have from work with Head Start? >>But our relationship X s start is almost not like client supplier relationship. It's almost like business partners. So they not only help us with protect their providing the technology, but on top of that, they have their system architect to work with my tech team. And they have, you know, open technical hours for us to interact. And on top of that, they do many other things, like building a community where, you know, people like me and Google can meet and also other opportunities, like getting out the word out there. Right. As you know, all of their, uh, startups run on a very thin budget. So how do we not pour millions of dollars into getting out without there is another big benefit as well. So, um definitely very much recommend that start. And I think another big thing is this, right? Uh, what we know now that we have covert and we have demand coming from all over the place, including, like, even a lot of interest, Ally from the government off Gambia, you know? So how do we quickly deploy our technology right there? Or how do we deploy our technology from the the people who are demanding our solution in Nigeria? Right. With technology that is almost frameless. >>Yeah. The great enabling technology ecosystem to support you. And they got the region's too. So the region's do help. I love we call them Cube Region because we're on Amazon. We have our cloud, Hugo, um, and start your observations, experience and learnings from working with aws. >>Absolutely. Look, this is a lot to say, so I'll try and making sure for anyone, but but also for us on me personally, also as an individual and as a founder, it's really been a 365 sort of support. So like Johnny mentioned, there's the community where you can connect with existing entrepreneur you can connect with expert in different industry. You can ask technical expert and and have ah, you know office our every week. Like you said Jenny, with your tech team talking to cloud architect just to unlock any problem that you may have on day and you know, on the business side I would add something which for us has been really useful is the fact that when we when we've approached government being able to say that we have the support off AWS and that we work with them to establish data integrity, making sure everything is properly secured and all that sort of thing has been really helpful in terms off, moving forward with discussion with potential plant and and government as well. So there's also the business aspect side of things where when people see you, there's a perceived value that you know, your your entourage is smart people and and people who are capable of doing great things. So that's been also really >>helpful, you know, that's a great point. The APP SEC review process, as you do deals is a lot easier. When here on AWS. Vincent were a little bit over time with a great, great great panel here. Close us out. Share with us. What's next for you guys? You got a great startup ecosystem. You're doing some great work out there and education as well. Healthcare. Um, how's your world going on? Take a minute, Thio. Explain what's going on in your world, >>John, I'm part of the public sector Team Worldwide in AWS. We have very clear mission statements on by the first is you know, we want to bring about destructive innovation and the AWS Cloud is really the platform where so many off our techs, whether it's a text, healthtech golf text, all those who are developing solutions to help our governments and our education institutions or health care institutions to really be better at what they do, we want to bring about those disruptive innovations to the market as fast as possible. It's just an honor on a privilege for us to be working. And why is that important? It's because it's linked to our second mission, which is to really make the world a better place to really deliver. Heck, the kind of work that Hugo and Janina doing. You know, we cannot do it by ourselves. We need specialists and really people with brilliant ideas and think big vision to be able to carry out what they are doing. And so we're just honored and privileged to be part off their work And in delivering this impact to society, >>the expansion of AWS out in your area has been phenomenal growth. I've been saying to Teresa Carlson, Andy Jassy in the folks that aws for many, many years, that when you move fast with innovation, the public sector and the private partnerships come together. You're starting to see that blending. And you've got some great founders here, uh, making a social impact, transforming, teaching and learning. So congratulations, Janine and Hugo. Thank you for sharing your story on the Cube. Thanks for joining. >>Thank you. Thank >>you, John. >>I'm John Furry with the Cube. Virtual were remote. We're not in person this year because of the pandemic. You're watching a divest Public sector online summit. Thank you for watching

Published Date : Oct 20 2020

SUMMARY :

AWS Public Sector online brought to you by Amazon Vincent, we'll start with you and Amazon. I mean, reinvent and some it's out. One of the challenges that we saw from our education technology customers What made you start this company and tell us your story? But I see that education is the only one that can be solved You could How about your company? clearly is that the observable symptom of dyslexia are reading You know, this is the kind of thing that really changes the game because you also have learning but and people might think that, you know, uh, marginalized communities are Take one step in front of the other. So make sure that we have which is, you know, covering most of the globe, it's it's a good start on We're gonna come back to both of you on the I question. And they recognize that, you know, again, it goes back to the digital strategy There's some old technology out there and Jenny and you go, You just quickly talk about how you see the cloud And so one of the big ideas that we have is we really want And you go, Janine will start with you. a module that teaches Cove it because, you know, It's everything is not like, you know, linear learning. person in the company are empowered to do their job and and and, you know, achieve success. And I think the cloud gives you speed and you're only challenges getting the word out because Ally from the government off Gambia, you know? So the region's do help. there's a perceived value that you know, your your entourage is smart people helpful, you know, that's a great point. We have very clear mission statements on by the first is you know, Andy Jassy in the folks that aws for many, many years, that when you move fast with innovation, Thank you. Thank you for watching

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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

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Hard Problems on Isogeny Graphs over RSA Moduli and Groups with Infeasible Inversion


 

>>Hi, everyone. This is L. A from Visa Research today. I would like to tell you about my work with Salim. Earlier. Took from Boston University about how to construct group with invisible inversion from heart problems on ice Arjuna graphs over I say model E eso Let me start this talk by tell you, uh, what is a group with invisible inversion? A group was invisible Inversion is defined by Hulkenberg and Mona In 2003 It says a representation off a group should satisfy two properties. The first is literally that inversion. It's heart. Namely that giving an including off group element X computing Uh, the including off its inverse his heart. The second is that the composition is still easy, namely given the including off X and Y computing the including off X plus y is easy here we're seeing. Plus, is the group operation. So let me explain this definition by going through our favorite example where discreet log it's hard, namely in the Multiplicity group of finance field. We include a group element A as G today, namely, put it into the exponents and more, uh, cute. So given G energy today finding a it's hard. So this group representation at least satisfy one way, as you mean this great look. It's hard. So let's look at at whether this a group satisfied group was invisible inversion. So it turns out it is not because given due to the A finding G to the minus A, it's still easy. So if we say this is the representation off the universe, then computing this reputation is simple. So this is a no example. Off group was invisible invasion. So the work off Falkenburg and Mona started by looking. How can we find group was invisible inversion? And what are the applications off such a group? Representation, >>It turns out, in their sisters. They did not find any group reputation representation that satisfy this property. But instead they find out that if you can find such a group and then they they have >>a cryptographic applications, namely building direct directed transitive signatures a year later in the work off Iraq at or they also find that if you can have this kind of group with invisible inversion there, you can also construct broadcast encryption with a small overhead, and this is before we know how to construct the broadcast encryption with small overhead over Terry's elliptic curve. Paris. So let's look at another attempt off constructing group with invisible inversion. So instead off defining. Still, let's look at a group where we put >>the including in the exponents and instead of defining due to the minus A as the inversion Let's define due to the one over a as the the inverse off do today. So it turns out you can also define that. And it happens that in many groups, minimally, if you more, uh, some special value a que then given G energy to the A, then competing due to the one over A is also conjectured to be hard. But if you define the group element in the experiment in that way, then multiplication in >>the group exponents is also hard, and so we cannot compose. So this is another no example where group inversion is actually difficult to compute. But composition is difficult to compute, uh, either. So for this kind of group, they cannot use this to build directly transitive signatures or broadcast encryption. So now let's make this attempt, uh, visible by allowing thio. So so thio have ability to compute composition. Namely, we represent the including off A as the follows. So first we help you today >>and then we also give an office Kate the circuit which contains a and n such that I take a group element X, and it can output due to the to a model end. So it turns out giving this circuit you have a feasibility off doing composition and in the work off yamakawa at all to show that if and that the underlying off station is io and assuming and it's an R s a moderately then Thistle >>is actually a good construction off group with invisible university. So technically, assuming I oh, we have already know candidates for group was in physical inversion. Uh, but that work still leaves the open problem off constructing group with invisible inversion without using general purpose sophistication. And in this talk, I would like to talk to tell you about a group was inversion candidate from some new certainly problems And the brief logic off this talk is the following. So elliptical insurgencies can be represented by graph, uh, and the graphs has a ship off volcanoes. For example, this one if you look imagine you're looking for a volcano from top to down and this is the Creator, and this is like the direction off going down the volcano. And arguably this is the reason which attracts me to looking to. I certainly problems, and also I certainly graphs can be an I certainly can be used to represent a group called Idea Class Group >>and then eventually we will find some group >>problems on this graph, which we conjecture to be hard. And they use map thes harness to the harness off inverting group elements in the ideal classroom. So this will be the high level overview off this talk. >>So what are a little bit curve? Assertiveness? So to talk about elliptic curve, I certainly okay spend the whole day talking about its mathematical definition and the many backgrounds off elliptic curve. But today we only have 15 minutes. So instead, let me just to give you a highlight help have overview off what I certain this and I certainly is a mapping from when a little bit of curve to another, and I certainly is an interesting equivalence relation between elliptic curves. It's interesting in its mathematical theory, over a finite field and elliptic curve can be identified by its J environment. And later, >>when we talk about elliptic, curve will think about their represented by their environment, which is a number in the finance field >>and given to elliptic curves and namely, given their environments, we can efficiently decide whether these two groups assertiveness, namely in polynomial time. And given these backgrounds, let me now jump to the exciting volcanoes. So it turns out >>the relation among I certainly occurred. Assertiveness curbs can be represented by the I certainly graphs, which looks like volcanoes. So let's first look at the graph on the left and let's fix a degree for that. I certainly so I certainly has different degrees. So let's for simplicity. Think about their crimes. So let's fix a degree Air say equals 23 >>and we will let each of the note in the graph to represent a different elliptic curve, namely a different Jane environment, and each is represent an air degree by certainly so if you fix the degree ill and I certainly is their religions, uh, they just look like what I said, like what kind of going from top to bottom and if, let's say, fix all the >>elliptic curve on the creator or, in general, all the elliptic curves on the same layer off the volcano, Then you allowed to have different degrees. So this is degree L and this is degree M, etcetera, etcetera. And then the graph actually looks like it's almost fully connected. Eso imagine all of them are connected by different degrees. And the graph structure is actually described not too long ago in the pH. Diseases off Davico Hell in 1996 and later it gets popularized in a paper in 2002 because they say, Hey, this looks like a volcano. So now the I certainly will. Kind of is they used in many reference by according the graph. >>So let me tell you a little bit more about the relation off. I certainly and the idea class group. So the short story is, if you fix a layer on the uncertainty graph, say the creator. So actually, all the notes has a 1 to 1 mapping to the group element in an ideal >>class group. The foremost Siri is the ideal class group acts on the, uh, set off a surgeon is which have the same in the more it is a Marine. But we will not go into their, uh in the talk today. So let me give you a simple example. So this is, ah, concrete representation off an ideal class group off seven group elements. And if we fix a J zero j environment off one off the grade curve, let's say this guy represents the identity in the idea class group. And then we let J one to represent one off the class group elements. Then it's inverse is just going one step back from the origin in the opposite direction S O. This is a very important picture we will use exactly the J environments to represent and the idea class group elements eso This is exactly the reputation we're gonna take, except we're gonna work with over the icy modeling. So after giving some mathematical background off elliptical by certainly in a certain graph now, let's talk about competition of problems >>and before jumping into I say model E, let me start from the, uh, more traditionally studied. I certainly problems over the finite field. The first problem is if I fix a degree, air and I give you a J environment off elliptic curve. Ast one off the note. That's first. Take an easy question. Is it easy to find all off? >>It's certainly neighbors off degree will say there is a polynomial. >>The answer is yes. And the technically there are two different ways. Uh, I will not go to the details off what they are, but what we need to know is they require serving, uh, polynomial off degree or air squares. Let's look at another problem that so imagine I select to random >>curves from an I certainly graph. So think about this. Uncertainty graph is defined over a large field, and they are super polynomial limited graphs off them. I'm choosing to random curves. >>The question is, can you find out an explicit I Certainly between them naming and Emily passed from one to the other. It turns out this >>problem is conjecture to be hard even for quantum computers, and this is exactly what was used in the post to quantum key exchange proposals in those works. So they have different structures could aside the seaside. They're just a different types off in the book is a Marine off the question is off the same nature finding and passed from one curve to the other. So these are not relevant to our work. But I would like to introduce them for for some background, off the history off. I certainly problems, >>So you have a work we need to >>study. I certainly problems over in, I say endogenous. And so the first question is even how to define. And I certainly, uh oh, and I certainly graph over the ring like, uh, over and I say modular. Same. So >>there is a general way off defining it in the special case. So in this talk, I will just talk about the special case because this is easier to understand. So think about I have the have the ability off peaking too. I certainly volcan als over multi and multi cube. That has exactly the same structure. And then I just use a C a c r T composition to stick them together. So namely a J >>zero. The value is the CRT off the J zero over. They're over the small fields P and the Cube and the N S equals to P times Q. And by the way, thes gene variants will be exactly the way to represent an ideal class group off such a size in this example is the ideal class group off, uh, with discriminate minus 250 bucks. Okay, so now let's look at what this magical over this representation. So let's look at back to the problem we start from namely, finding all the insurgents neighbors at this time over. And I see model E eso. I give you the J environment off easier and ask you to find a one off the its neighbors finding the J environment off one off its neighbors. So it turns out, even this problem is hard. And actually, we can prove this problem is as hard as factory and naive. Way off. Explaining off What's going on is that the two methods that work over the finite field that doesn't work anymore, since they both required to solve high degree polynomial model end, and that this is hard where when end is in, I certainly I say modelers. So to be useful for constructing a group off invisible inversion, we actually need to look at this called a joint neighbors. Such problems, namely, if I give you a curve zero, which represents the identity, then another crib, which represents a the group element. Your task is to find its inverse namely one off the E two candidate beneath zero. Yeah, eso it turns out this problem. We also conjectured to it to be hard and we don't know how to base it on how this a factoring, uh, again, the not even reason is the way to solve it over the finite field doesn't work because they both required to solve polynomial off degree higher than one over in i. C model is. And this is exactly the reason that we believe the group inversion is hard over deserve visitation Now. Finally, we also would like to remind the readers that for death according to the definition off group with invisible inversion, we would also like the group elements to be easy to compose. No, that's not. Make another observation that over. If you're finding the joint neighbor off, I certainly off different degree. Say, if I give you a J invent off Iwan and Jane Barrett off you to ask you to find the J environment off the three and they happened to off co prime degree I. Certainly then there is a way to find their joint neighbor because they're cold prime. And there's only one solution to solving the modular polynomial that I haven't defined out. But this is the way we make sure that composition is easy. Normally we output, including that are a cold prime so that they can be composed to summarize that we propose a group candidate group with invisible inversion from any particular I. Certainly it requires a chapter because you need to know the prime factors off. I seem odd early to set up the whole system and generated the including in our me assumption is that certain joint neighbors such problem on the I certainly graphs defined over S a moderately it's hard again group within physical inversion has the application of constructing broadcasting, corruption directed transitive signatures, and it's a very interesting problem to explore

Published Date : Sep 21 2020

SUMMARY :

So the work off Falkenburg and Mona started by looking. that satisfy this property. a small overhead, and this is before we know how to construct the broadcast encryption the including in the exponents and instead of defining due to the minus So first we help you today So it turns out giving this circuit you And in this talk, I would like to talk to tell you about a group was inversion candidate So this will be the high level overview off this So instead, let me just to give you a highlight help have overview off what I certain this So it turns out look at the graph on the left and let's fix a degree for that. So now the I certainly will. So the short story is, if you fix a layer So let me give you a simple example. I certainly problems over the finite field. And the technically there are two different ways. So think about this. naming and Emily passed from one to the other. off the same nature finding and passed from one curve to the other. the first question is even how to define. So in this talk, So let's look at back to the

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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

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CI/CD: Getting Started, No Matter Where You Are


 

>>Hello, everyone. My name is John Jane Shake. I work from Iran. Tous Andi. I am here this afternoon very gratefully with Anders Vulcan, who is VP of technology strategy for cloud bees, a Miranda's partner and a well known company in the space that we're going to be discussing. Anders is also a well known entity in this space, which is continuous integration and continuous delivery. Um, you've seen already today some sessions that focus on specific implementations of continuous integration and delivery, um, particularly around security. And, uh, we think this is a critically important topic for anyone in the cloud space, particularly in this increasingly complicated kubernetes space. To understand, um, Miranda's thanks, Uh, if I can recapitulate our own our own strategy and, uh, and language that with complexity on uncertainty consistently increasing with the depth of the technology stacks that we have to deal with consistently, um um elaborating themselves that navigating this requires, um first three implementation of automation to increase speed, which is what C and C d do. Um, and that this speed ba leveraged toe let us ship and iterate code faster. Since that's ultimately the business that all of us air in one way or another. I would like, I guess, toe open this conversation by asking Onders what does he think of that core strategy? >>You know, I think you know, hitting the security thing, right? Right off the bat. You know, security doesn't happen by accident. You know, security is not something that you know, Like a like a server in a restaurant. You know, Sprinkles a little bit of Parmesan cheese right before they serve you the the food. It's not something you Sprinkle on at the end. It's something that has to be baked in from the beginning, not just in the kitchen, but in the supply chain from from from the very beginning. So the you know it's a feature, and if you don't build it, if you're not going to get an outcome that you're not gonna be happy with and I think the you know it's increasingly it's obviously increasingly important and increasingly visible. You know, the you know, the kinds of security problems that we that we see these days can can be, you know, life altering, for for people that are subject to them and and can be, you know, life or death for a company that that's exposed to it. So it's it's it's very, very important. Thio pay attention to it and to work to achieve that as an explicit outcome of the software delivery process. And I think, you know, C i n c d as as process as tooling as culture plays a big part in that because ah, lot of it has to do with, you know, set things up, right? Um run them the same way over and over, you know, get the machine going. Turned the crane. Now, you wanna you wanna make improvements over over time. You know, it's not just, you know, set it and forget it. You know, we got that set up. We don't have to worry about it anymore, but it really is a question of, you know, get the human out of the loop a lot of the times because if if you're dealing with configuring complex systems, you wanna make sure that you get them set up configured, you know, documented Ideally, you know, as code, whether it's a domain specific language or or something like that. And then that's something that you contest against that you can verify against that you can that you can difficult. And then that becomes the basis for for your, you know, for yourself, for pipelines, for your automation around, you know, kind of the software factory floor. So I think automation is a key aspect of that because it, you know, it takes a lot of the drudgery out of it, for one thing, So now the humans have more time to spend on doing on the on the creative things on the things that we're good at a zoo. Humans and it also make sure that, you know, one of the things that computers are really good at is doing the same thing over and over and over and over. Eso that kind of puts that responsibility into the hands of the entity that that knows how to do that well, which is which is the machine eso I think it's, you know, it's a light. It's a deep, deep topic, obviously, but, you know, automation plays into it. Uh, you know, small batch sizes play into it, you know, being able to test very frequently whether that's testing in. You're kind of you're C I pipeline where you're sort of doing building mostly unit testing, maybe some integration testing, but also in layering in the mawr. Serious kinds of testing in terms of security scanning, penetration, testing, vulnerability, scanning. You know those sorts of things which, you know, maybe you do on every single see I Bill. But most people don't because those things tend toe take a little bit longer on. And you know you want your sea ice cycle to be as fast as possible because that's really in service of the developer who has committed code and wants toe kind of see the thumbs up from the system saying it. And, um, so most organizations most organizations are are are focusing on, you know, making sure that there's a follow on pipeline to follow on set of tests that happened after the C I passes successfully and and that's, you know, where a lot of the security scanning and those sorts of things happen. >>It's a It's an interesting problem. I mean, you mentioned, um, what almost sounds like a Lawrence Lessig Ian kind of idea that, you know, code is law in enterprises today, code particularly see, I code ends up being policy, but At the same time, there's, Ah, it seems to me there's a an alternative peril, which is, as you increase speed, particularly when you become more and more dependent on things like containers and layering technology to provide components and capabilities that you don't have to build yourself to your build pipeline, that there are new vulnerabilities, potentially that creep in and can creep in despite automation. Zor at least 1st. 1st order automation is attempts toe to prevent them from creeping in. You don't wanna you wanna freeze people on a six month old version of a key container image. But on the other hand, if the latest version has vulnerabilities, that could be a problem. >>Yeah, I mean, it's, you know, it's it's a it's a it's a double edged sword. It's two sides of the same coin. I think you know, when I talked to a lot of security people, um, you know, people to do it for a living is supposed to mean I just talk about it, um, that Z not completely true. But, um, the ah, lot of times the problem is old vulnerabilities. The thing that I think keeps a lot of people up at night isn't necessarily that the thing at the tip of the releases for particular, you know, well known open source, library or something like that. But that's gonna burn you all the vast majority of the time. And I want to say, like, 80 85% of the time. The vulnerability is that you that you get hosed by are ones that have been known about for years. And so I think the if I had to pick. So if you know, in that sort of two sides of that coin, if I had to pick, I would say Be aggressive in making sure that your third party dependencies are updated frequently and and continuously right, because that is the biggest, biggest cause of of of security vulnerabilities when it comes to third party code. Um, now you know the famous saying, You know, move fast and break things Well, there's certain things you don't want to break. You know you don't want to break a radiation machine that's going to deliver radio radiotherapy to someone because that will endanger their health. So So those sorts of systems, you know, naturally or subject a little bit more kind of caution and scrutiny and rigor and process those sorts of things. The micro service that I run that shows my little avatar when I log in, that one probably gets a little less group. You know, Andre rightfully so. So I think a lot of it has to do. And somebody once said in a I think it was, Ah, panel. I was on a PR say conference, which was, which was kind of a wise thing to say it was Don't spend a million dollars protecting a $5 assets. You know, you wanna be smart and you wanna you wanna figure out where your vulnerabilities they're going to come from and in my experience, and and you know, what I hear from a lot of the security professionals is pay attention to your supply chain. You're you want to make sure that you're up to date with the latest patches of, of all of your third party, you know, open source or close source. It doesn't really matter. I mean, if anything, you know, open source is is more open. Eso You could inspect things a little bit better than the close source, but with both kinds of streams of code that you consume and and use. You wanna make sure that you're you're more up to date as opposed to a less up to date? Um, that generally will be better. Now, can a new version of the library cause problems? You know, introduce bugs? You know, those sorts of things? Yes. That's why we have tests. That's what we have automated tests, regression, sweets, You know, those sorts of things. And so you wanna, you know, you wanna live in a in a world where you feel the confidence as a as a developer, that if I update this library from, you know, one debt owed at 3 to 1 debt owed at 10 to pick up a bunch of, you know, bug fixes and patches and those sorts of things. But that's not going to break some on demand in the test suites that that will run against that ought to cover that that sort of functionality. And I'd rather be in that world of Oh, yeah, we tried to update to that, but it But it broke the tests and then have to go spend time on that, then say, Oh, it broke the test. So let's not update. And then six months later, you do find out. Oh, geez. There was a problem in one that owed at three. And it was fixed in one. That about four. If only we had updated. Um, you know, you look at the, um you look at some of the highest profile security breaches that are out there that you sort of can trace toe third party libraries. It's almost always gonna be that it was out of date and hadn't been patched. That's so that's my you know, opinionated. Take on that. Sure. >>What are the parts of modern C I c D. As opposed to what one would encounter 56 years ago? Maybe if we can imagine that is being before the micro services and containers revolution really took off. >>You know, I think e think you're absolutely right that, you know, not the whole world is not doing. See, I Yeah, and certainly the whole world is not doing city yet. Um, you know, I think you know, as you say, we kind of live in a little bit of an ivory tower. You know, we live in an echo chamber in a little bit of a bubble Aziz vendors in this space. The truth is that I would say less than 50% of the software organizations out there do real. See, I do real CD. The number's probably less than that. Um, you know, I don't have anything to back that up other than just I talked to a lot of folks and work with, you know, with a lot of organizations and like, Yeah, that team does see I that team does Weekly builds You know, those sorts of things. It's it's really all over the place, Onda. Lot of times there's There's definitely, in my experience, a high correlation there with the amount of time that a team or a code base has been around, and the amount of sort of modern technologies and processes and and and so on that are that are brought to it on. And that sort of makes sense. I mean, if you if you're starting with the green field with a blank sheet of paper, you're gonna adopt, you know, the technologies and the processes and the cultures of today. A knot of 5, 10 15 15 years ago, Um but but most organizations air moving in that direction. Right? Andi, I think you know what? What? What? What's really changed in the last few years is the level of integration between the various tools between the various pieces and the amount of automation that you could bring to bear. I mean, I you know, I remember, you know, five or 10 years ago having all kinds of conversations with customers and prospects and and people of conferences and so on and they said, Oh, yeah, we'd like to automate our our software development life cycle, but, you know, we can't We have a manual thing here. We have a manual thing there. We do this kind of testing that we can automate it, and then we have this system, but it doesn't have any guy. So somebody has to sit and click on the screen. And, you know, and I used to say e used to say I don't accept No for an answer of can you automate this right? Everything. Anything can be automated. Even if you just get the little drinking bird. You know that just pokes the mouse. Everyone something. You can automate it, and I Actually, you know, I had one customer who was like, Okay, and we had a discussion and and and and they said, Well, we had this old Windows tool. We Its's an obscure tool. It's no longer updated, but it's it's it's used in a critical part of the life cycle and it can't be automated. And I said, Well, just install one of those Windows tools that allows you to peek and poke at the, you know, mass with my aunt I said so I don't accept your answer. And I said, Well, unfortunately, security won't allow us to install those tools, Eh? So I had to accept No, at that point, but But I think the big change were one of the biggest changes that's happened in the last few years is the systems now have all I'll have a p i s and they all talk to each other. So if you've gotta, you know, if you if you've got a scanning tool, if you've got a deployment tool, if you have a deployment, you know, infrastructure, you know, kubernetes based or, you know, kind of sitting in front of our around kubernetes thes things. I'll talk to each other and are all automated. So one of the things that's happened is we've taken out a lot of the weight states. A lot of the pauses, right? So if you you know, if you do something like a value stream mapping where you sit down and I'll date myself here and probably lose some of the audience with this analogy. But if you remember Schoolhouse Rock cartoons in in the late seventies, early eighties, there was one which was one of my favorites, and and the guy who did the music for this passed away last year, sadly, But, uh, the it was called How a bill Becomes a Law and they personified the bill. So the bill, you know, becomes a little person and, you know, first time passed by the house and then the Senate, and then the president either signs me or doesn't and or he vetoes, and it really sort of did this and what I always talk about with respect to sort of value stream mapping and talking about your processes, put a GoPro camera on your source codes head, and then follow that source code all the way through to your customer understand all of the stuff that happens to it, including nothing, right? Because a lot of times in that elapsed time, nothing keeps happening, right. If we build software the way we were sorry. If we build cars the way we build software, we would install the radio in a car, and then we would park it in a corner of the factory for three weeks. And then we might remember to test the radio before we ship the car out to the customer. Right, Because that's how a lot of us still develop some for. And I think one thing that's changed in the in the last few years is that we don't have these kind of, Well, we did the bill. So now we're waiting for somebody to create an environment and rack up some hardware and install an operating system and install. You know, this that and the other. You know, that that went from manual to we use Scheffer puppet to do it, which then went to we use containers to do it, which then went to we use containers and kubernetes to do it. So whole swaths of elapsed time in our software development life cycles basically went to nothing, right and went to the point where we can weaken, weaken, configure them way to the left and and and follow them all the way through. And that the artifact that we're delivering isn't necessarily and execute herbal. It could be a container, right? So now that starts to get interesting for us in terms of being able to test against that container scan against that container, def. Against that container, Um, you know, and it, you know, it does bring complexity to in terms of now you've got a layered file system in there. Well, what all is in there, you know, And so there's tools for scanning those kinds of things, But But I think that one of the biggest things that's happened is a lot of the natural pause. Points are no longer natural. Pause points their unnatural pause points, and they're now just delays in yourself for delivery. And so what? What a lot of organizations are working on is kind of getting to the point where those sorts of things get get automated and connected, and that's now possible. And it wasn't 55 or 10 years ago. >>So It sounds like a great deal of the speed benefit, which has been quantified many different ways. But is once you get one of these systems working, as we've all experienced enormous, um, is actually done by collapsing out what would have been unused time in a prior process or non paralyze herbal stuff has been made parallel. >>I remember doing a, uh, spent some time with a customer, and they did a value stream mapping, and they they found out at the end that of the 30 days of elapsed time they were spending three days on task. Everything else was waiting, waiting for a build waiting foran install, waiting for an environment, waiting for an approval, having meetings, you know, those sorts of things. And I thought to myself, Oh, my goodness, you know, 90% of the elapsed time is doing nothing. And I was talking to someone Gene Kim, actually, and I said, Oh my God, it was terrible that these you know, these people are screwed and he says, 0 90%. That's actually pretty good, you know? So So I think you know, if you if you think today, you know, if you If you if you look at the teams that are doing just really pure continuous delivery, you know, write some code committed, gets picked up by the sea ice system and passes through CIA goes through whatever coast, see I processing, you need to do security scanning and so on. It gets staged and it gets pushed into production. That stuff can happen in minutes, right? That's new. That's different. Now, if you do that without having the right automated gates in place around security and and and and those sorts of things you know, then you're living a little bit dangerously, although I would argue not necessarily any more dangerously, than just letting that insecure coat sit around for a week before your shipment, right? It's not like that problem is going to fix itself if you just let it sit there, Um, but But, you know, you definitely operated at a higher velocity. Now that's a lot of the benefit that you're tryingto trying to get out of it, right? You can get stuff out to the market faster, or if you take a little bit more time, you get more out to the market in, in in the same amount of time you could turn around and fix problems faster. Um, if you have a vulnerability, you can get it fixed and pushed out much more quickly. If you have a competitive threat that you need to address, you can you know, you could move that that much faster if you have a critical bug. You know, I mean, all security issues or bugs, sort of by definition. But, you know, if you have a functionality bug, you can you can get that pushed out faster. Eso So I think kind of all factors of the business benefit from from this increase in speed. And I think developers due to because anybody you know, any human that has a context switch and step away from something for for for, you know, duration of time longer than a few minutes, you know, you're gonna you're gonna you're gonna you're gonna have to load back up again. And so that's productivity loss. Now, that's a soft cost. But man, is it Is it expensive and is a painful So you see a lot of benefit there. Think >>if you have, you know, an organization that is just starting this journey What would you ask that organization to consider in orderto sort of move them down this path? >>It's by far the most frequent and almost always the first question I get at the end of the talk or or a presentation or something like that is where do we start? How do I know where to start? And and And there's a couple of answers to that. What one is Don't boil the ocean, right? Don't try to fix everything all at once. You know that because that's not agile, right? The be agile about your transformation Here, you know, pick, pick a set of problems that you have and and make a, you know, basically make a burn down list and and do them in order. So find find a pain point that you have right and, you know, just go address that and and try to make it small and actionable and especially early on when you're trying to affect change. And you're tryingto convinced teams that this is the way to go and you may have some naysayers, or you may have people who are skeptical or have been through these processes before that have been you know failures released, not the successes that they that they were supposed to be. You know, it's important to have some wind. So what I always say is look, you know, if you have a pebble in your shoe, you've got a pain point. You know how to address that. You know, you're not gonna address that by changing out your wardrobe or or by buying a new pair of shoes. You know, you're gonna address that by taking your shoe off, shaking it until the pebble falls out there putting the shoe back on. So look for those kinds of use cases, right? So if you're engineers are complaining that whenever I check in the build is broken and we're not doing see, I well, then let's look at doing C I Let's do see eye, right? If you're not doing that. And for most organizations, you know, setting up C I is a very manageable, very doable thing. There's lots of open source tooling out there. There's lots of commercial tooling out there. Thio do that to do it for small teams to do it for large teams and and everything in between. Um, if the problem is Gosh, Every time we push a change, we break something. You know where every time something works in staging it doesn't work in production. Then you gotta look at Well, how are these systems being configured? If you're If you're configuring them manually, stop automate the configuration of them. Um, you know, if you're if you're fixing system manually, don't you know, as a friend of mine says, don't fix, Repave? Um, you know, you don't wanna, you know, there's a story of, you know how how Google operates in their data centers. You know, they don't they don't go look for a broken disk drive and swap it out. You know, when it breaks, they just have a team of people that, like once a month or something, I don't know what the interval is. They just walked through the data center and they pull out all the dead stuff and they throw it out, and what they did was they assume that if the scale that they operate, things are always going to break physical things are always going to break. You have to build a software to assume that breakage and any system that assumes that we're going to step in when a disk drive is broken and fix it so that we can get back to running just isn't gonna work at scale. There's a similarity. There's sort of ah, parallel to that in in software, which is you know, any time you have these kinds of complex systems, you have to assume that they're gonna break and you have to put the things in place to catch those things. The automated testing, whether it's, you know, whether you have 10,000 tests that you that you've written already or whether you have no tests and you just need to go right, your first test that that journey, you've got to start somewhere. But my answer thio their questions generally always just start small, pick a very specific problem. Build a plan around it, you know, build a burned down list of things that you wanna address and just start working your way down that the same way that you would for any, you know, kind of agile project, your transformation of your own processes of your own internal systems. You should use agile processes for those as well, because if you if you go off for six months and and build something. By the time you come back, it's gonna be relevant. Probably thio the problems that you were facing six months ago. >>A Then let's consider the situation of, ah, company that's using C I and maybe sea ice and C d together. Um, and they want to reach what you might call the next level. Um, they've seen obvious benefits they're interested in, you know, in increasing their investment in, you know and cycles devoted to this technology. You don't have to sell them anymore, but they're looking for a next direction. What would you say that direction should be? I >>think oftentimes what organizations start to do is they start to look at feedback loops. So on DAT starts to go into the area of sort of metrics and analytics and those sorts of things. You know what we're we're always concerned about? You know, we're always affected by things like meantime to recovery. Meantime, the detection, what are our cycle times from, you know, ideation, toe codecommit. What's the cycle? Time from codecommit the production, those sorts of things. And you know you can't change what you don't measure eso so a lot of times the next step after kind of getting the rudimentary zoo of C I Orsini or some combination of both in places start to measure. Stop you, Um, and and then but But there. I think you know, you gotta be smart about it, because what you don't want to do is kind of just pull all the metrics out that exists. Barf them up on the dashboard. And the giant television screens say boom metrics, right. You know, Mike, drop go home. That's the wrong way to do it. You want to use metrics very specifically to achieve outcomes. So if you have an outcome that you want to achieve and you can tie it to a metric start looking at that metric and start working that problem once you saw that problem, you can take that metric. And you know, if that's the metric you're showing on the big you know, the big screen TV, you can pop that off and pick the next one and put it up there. I I always worry when you know a little different when you're in a knock or something like that. When when you're looking at the network stuff and so on. But I'm always leery of when I walk into to a software development organization. You know, just a Brazilian different metrics, this whole place because they're not all relevant. They're not all relevant at the same time. Some of them you wanna look at often, some of them you just want to kind of set an alarm on and make sure that, you know, I mean, you don't go down in your basement every day to check that the sump pump is working. What you do is you put a little water detector in there and you have an alarm go off if the water level ever rises above a certain amount. Well, you want to do the same thing with metrics, right? Once you've got in the water out of your basement, you don't have to go down there and look at it all the time. You put the little detector in, and then you move on and you worry about something else. And so organizations as they start to get a little bit more sophisticated and start to look at the analytics, the metrics, um, start to say, Hey, look, if our if our cycle time from from, you know, commit to deploy is this much. And we want it to be this much. What happens during that time, And where can we take slices out of that? You know, without without affecting the outcomes in terms of quality and so on, or or if it's, you know, from from ideation, toe codecommit. You know what? What can we do there? Um, you start to do that. And and then as you get those sort of virtuous cycles of feedback loops happening, you know, you get better and better and better, but you wanna be careful with metrics, you know, you don't wanna, you know, like I said, you don't wanna barf a bunch of metrics up just to say, Look, we got metrics. Metrics are there to serve a particular outcome. And once you've achieved that outcome, and you know that you can continue to achieve that outcome, you turn it into an alarm or a trigger, and you put it out of sight. And you know that. You know, you don't need to have, like, a code coverage metric prominently displayed you you pick a code coverage number that you're happy with you work to achieve that. Once you achieve it, you just worry about not going below that threshold again. So you can take that graph off and just put a trigger on this as if we ever get below this, you know, raising alarm or fail a build or fail a pipeline or something like that and then start to focus on improving another man. Uh, or another outcome using another matter >>makes enormous sense. So I'm afraid we are getting to be out of time. I want to thank you very much on this for joining us today. This has been certainly informative for me, and I hope for the audience, um, you know, thank you very, very much for sharing your insulin.

Published Date : Sep 15 2020

SUMMARY :

Um, and that this speed ba leveraged toe let us ship and iterate You know, the you know, the kinds of security problems that we that we see these days what almost sounds like a Lawrence Lessig Ian kind of idea that, you know, I think you know, when I talked to a lot of security people, um, you know, What are the parts of modern C I c D. As opposed to what one would encounter I mean, I you know, I remember, you know, five or 10 years ago having all kinds of conversations But is once you get one of these systems working, So So I think you know, if you if you think today, you know, if you If you if you look at the teams that are doing Um, you know, you don't wanna, you know, there's a story of, Um, they've seen obvious benefits they're interested in, you know, I think you know, you gotta be smart about it, you know, thank you very, very much for sharing your insulin.

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Scott Raynovich, Futuriom | Future Proof Your Enterprise 2020


 

>> From theCUBE Studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE Conversation. (smooth music) >> Hi, I'm Stu Miniman, and welcome to this special exclusive presentation from theCUBE. We're digging into Pensando and their Future Proof Your Enterprise event. To help kick things off, welcoming in a friend of the program, Scott Raynovich. He is the principal analyst at Futuriom coming to us from Montana. I believe first time we've had a guest on the program in the state of Montana, so Scott, thanks so much for joining us. >> Thanks, Stu, happy to be here. >> All right, so we're going to dig a lot into Pensando. They've got their announcement with Hewlett Packard Enterprise. Might help if we give a little bit of background, and definitely I want Scott and I to talk a little bit about where things are in the industry, especially what's happening in networking, and how some of the startups are helping to impact what's happening on the market. So for those that aren't familiar with Pensando, if you followed networking I'm sure you are familiar with the team that started them, so they are known, for those of us that watch the industry, as MPLS, which are four people, not to be confused with the protocol MPLS, but they had very successfully done multiple spin-ins for Cisco, Andiamo, Nuova and Insieme, which created Fibre Channel switches, the Cisco UCS, and the ACI product line, so multiple generations to the Nexus, and Pensando is their company. They talk about Future Proof Your Enterprise is the proof point that they have today talking about the new edge. John Chambers, the former CEO of Cisco, is the chairman of Pensando. Hewlett Packard Enterprise is not only an investor, but also a customer in OEM piece of this solution, and so very interesting piece, and Scott, I want to pull you into the discussion. The waves of technology, I think, the last 10, 15 years in networking, a lot it has been can Cisco be disrupted? So software-defined networking was let's get away from hardware and drive towards more software. Lots of things happening. So I'd love your commentary. Just some of the macro trends you're seeing, Cisco's position in the marketplace, how the startups are impacting them. >> Sure, Stu. I think it's very exciting times right now in networking, because we're just at the point where we kind of have this long battle of software-defined networking, like you said, really pushed by the startups, and there's been a lot of skepticism along the way, but you're starting to see some success, and the way I describe it is we're really on the third generation of software-defined networking. You have the first generation, which was really one company, Nicira, which VMware bought and turned into their successful NSX product, which is a virtualized networking solution, if you will, and then you had another round of startups, people like Big Switch and Cumulus Networks, all of which were acquired in the last year. Big Switch went to Arista, and Cumulus just got purchased by... Who were they purchased by, Stu? >> Purchased by Nvidia, who interestingly enough, they just picked up Mellanox, so watching Nvidia build out their stack. >> Sorry, I was having a senior moment. It happens to us analysts. (chuckling) But yeah, so Nvidia's kind of rolling up these data center and networking plays, which is interesting because Nvidia is not a traditional networking hardware vendor. It's a chip company. So what you're seeing is kind of this vision of what they call in the industry disaggregation. Having the different components sold separately, and then of course Cisco announced the plan to roll out their own chip, and so that disaggregated from the network as well. When Cisco did that, they acknowledged that this is successful, basically. They acknowledged that disaggregation is happening. It was originally driven by the large public cloud providers like Microsoft Azure and Amazon, which started the whole disaggregation trend by acquiring different components and then melding it all together with software. So it's definitely the future, and so there's a lot of startups in this area to watch. I'm watching many of them. They include ArcOS, which is a exciting new routing vendor. DriveNets, which is another virtualized routing vendor. This company Alkira, which is going to do routing fully in the cloud, multi-cloud networking. Aviatrix, which is doing multi-cloud networking. All these are basically software companies. They're not pitching hardware as part of their value add, or their integrated package, if you will. So it's a different business model, and it's going to be super interesting to watch, because I think the third generation is the one that's really going to break this all apart. >> Yeah, you brought up a lot of really interesting points there, Scott. That disaggregation, and some of the changing landscape. Of course that more than $1 billion acquisition of Nicira by VMware caused a lot of tension between VMware and Cisco. Interesting. I think back when to Cisco created the UCS platform it created a ripple effect in the networking world also. HP was a huge partner of Cisco's before UCS launched, and not long after UCS launched HP stopped selling Cisco gear. They got heavier into the networking component, and then here many years later we see who does the MPLS team partner with when they're no longer part of Cisco, and Chambers is no longer the CEO? Well, it's HPE front and center there. You're going to see John Chambers at HPE Discover, so it was a long relationship and change. And from the chip companies, Intel, of course, has built a sizeable networking business. We talked a bit about Mellanox and the acquisitions they've done. One you didn't mention but caused a huge impact in the industry, and something that Pensando's responding to is Amazon, but Annapurna Labs, and Annapurna Labs, a small Israeli company, and really driving a lot of the innovation when it comes to compute and networking at Amazon. The Graviton, Compute, and Nitro is what powers their Outposts solutions, so if you look at Amazon, they buy lots of pieces. It's that mixture of hardware and software. In early days people thought that they just bought kind of off-the-shelf white boxes and did it cheap, but really we see Amazon really hyper optimizes what they're doing. So Scott, let's talk a little bit about Pensando if we can. Amazon with the Nitro solutions built to Outposts, which is their hybrid solution, so the same stack that they put in Amazon they can now put in customers' data center. What Pensando's positioning is well, other cloud providers and enterprise, rather than having to buy something from Amazon, we're going to enable that. So what do you think about what you've seen and heard from Pensando, and what's that need in the market for these type of solutions? >> Yes, okay. So I'm glad you brought up Outposts, because I should've mentioned this next trend. We have, if you will, the disaggregated open software-based networking which is going on. It started in the public cloud, but then you have another trend taking hold, which is the so-called edge of the network, which is going to be driven by the emergence of 5G, and the technology called CBRS, and different wireless technologies that are emerging at the so-called edge of the network, and the purpose of the edge, remember, is to get closer to the customer, get larger bandwidth, and compute, and storage closer to the customer, and there's a lot of people excited about this, including the public cloud providers, Amazon's building out their Outposts, Microsoft has an Edge stack, the Azure Edge Stack that they've built. They've acquired a couple companies for $1 billion. They acquired Metaswitch, they acquired Affirmed Networks, and so all these public cloud providers are pushing their cloud out to the edge with this infrastructure, a combination of software and hardware, and that's the opportunity that Pensando is going after with this Outposts theme, and it's very interesting, Stu, because the coopetition is very tenuous. A lot of players are trying to occupy this edge. If you think about what Amazon did with public cloud, they sucked up all of this IT compute power and services applications, and everything moved from these enterprise private clouds to the public cloud, and Amazon's market cap exploded, right, because they were basically sucking up all the money for IT spending. So now if this moves to the edge, we have this arms race of people that want to be on the edge. The way to visualize it is a mini cloud. Whether this mini cloud is at the edge of Costco, so that when Stu's shopping at Costco there's AI that follows you in the store, knows everything you're going to do, and predicts you're going to buy this cereal and "We're going to give you a deal today. "Here's a coupon." This kind of big brother-ish AI tracking thing, which is happening whether you like it or not. Or autonomous vehicles that need to connect to the edge, and have self-driving, and have very low latency services very close to them, whether that's on the edge of the highway or wherever you're going in the car. You might not have time to go back to the public cloud to get the data, so it's about pushing these compute and data services closer to the customers at the edge, and having very low latency, and having lots of resources there, compute, storage, and networking. And that's the opportunity that Pensando's going after, and of course HPE is going after that, too, and HPE, as we know, is competing with its other big mega competitors, primarily Dell, the Dell/VMware combo, and the Cisco... The Cisco machine. At the same time, the service providers are interested as well. By the way, they have infrastructure. They have central offices all over the world, so they are thinking that can be an edge. Then you have the data center people, the Equinixes of the world, who also own real estate and data centers that are closer to the customers in the metro areas, so you really have this very interesting dynamic of all these big players going after this opportunity, putting in money, resources, and trying to acquire the right technology. Pensando is right in the middle of this. They're going after this opportunity using the P4 networking language, and a specialized ASIC, and a NIC that they think is going to accelerate processing and networking of the edge. >> Yeah, you've laid out a lot of really good pieces there, Scott. As you said, the first incarnation of this, it's a NIC, and boy, I think back to years ago. It's like, well, we tried to make the NIC really simple, or do we build intelligence in it? How much? The hardware versus software discussion. What I found interesting is if you look at this team, they were really good, they made a chip. It's a switch, it's an ASIC, it became compute, and if you look at the technology available now, they're building a lot of your networking just in a really small form factor. You talked about P4. It's highly programmable, so the theme of Future Proof Your Enterprise. With anything you say, "Ah, what is it?" It's a piece of hardware. Well, it's highly programmable, so today they position it for security, telemetry, observability, but if there's other services that I need to get to edge, so you laid out really well a couple of those edge use cases and if something comes up and I need that in the future, well, just like we've been talking about for years with software-defined networking, and network function virtualization, I don't want a dedicated appliance. It's going to be in software, and a form factor like Pensando does, I can put that in lots of places. They're positioning they have a cloud business, which they sell direct, and expect to have a couple of the cloud providers using this solution here in 2020, and then the enterprise business, and obviously a huge opportunity with HPE's position in the marketplace to take that to a broad customer base. So interesting opportunity, so many different pieces. Flexibility of software, as you relayed, Scott. It's a complicated coopetition out there, so I guess what would you want to see from the market, and what is success from Pensando and HPE, if they make this generally available this month, it's available on ProLiant, it's available on GreenLake. What would you want to be hearing from customers or from the market for you to say further down the road that this has been highly successful? >> Well, I want to see that it works, and I want to see that people are buying it. So it's not that complicated. I mean I'm being a little superficial there. It's hard sometimes to look in these technologies. They're very sophisticated, and sometimes it comes down to whether they perform, they deliver on the expectation, but I think there are also questions about the edge, the pace of investment. We're obviously in a recession, and we're in a very strange environment with the pandemic, which has accelerated spending in some areas, but also throttled back spending in other areas, and 5G is one of the areas that it appears to have been throttled back a little bit, this big explosion of technology at the edge. Nobody's quite sure how it's going to play out, when it's going to play out. Also who's going to buy this stuff? Personally, I think it's going to be big enterprises. It's going to start with the big box retailers, the Walmarts, the Costcos of the world. By the way, Walmart's in a big competition with Amazon, and I think one of the news items you've seen in the pandemic is all these online digital ecommerce sales have skyrocketed, obviously, because people are staying at home more. They need that intelligence at the edge. They need that infrastructure. And one of the things that I've heard is the thing that's held it back so far is the price. They don't know how much it's going to cost. We actually ran a survey recently targeting enterprises buying 5G, and that was one of the number one concerns. How much does this infrastructure cost? So I don't actually know how much Pensando costs, but they're going to have to deliver the right ROI. If it's a very expensive proprietary NIC, who pays for that, and does it deliver the ROI that they need? So we're going to have to see that in the marketplace, and by the way, Cisco's going to have the same challenge, and Dell's going to have the same challenge. They're all racing to supply this edge stack, if you will, packaged with hardware, but it's going to come down to how is it priced, what's the ROI, and are these customers going to justify the investment is the trick. >> Absolutely, Scott. Really good points there, too. Of course the HPE announcement, big move for Pensando. Doesn't mean that they can't work with the other server vendors. They absolutely are talking to all of them, and we will see if there are alternatives to Pensando that come up, or if they end up singing with them. All right, so what we have here is I've actually got quite a few interviews with the Pensando team, starting with I talked about MPLS. We have Prem, Jane, and Sony Giandoni, who are the P and the S in MPLS as part of it. Both co-founders, Prem is the CEO. We have Silvano Guy who, anybody that followed this group, you know writes the book on it. If you watched all the way this far and want to learn even more about it, I actually have a few copies of Silvano's book, so if you reach out to me, easiest way is on Twitter. Just hit me up at @Stu. I've got a few copies of the book about Pensando, which you can go through all those details about how it works, the programmability, what changes and everything like that. We've also, of course, got Hewlett Packard Enterprise, and while we don't have any customers for this segment, Scott mentioned many of the retail ones. Goldman Sachs is kind of the marquee early customer, so did talk with them. I have Randy Pond, who's the CFO, talking about they've actually seen an increase beyond what they expected at this point of being out of stealth, only a little over six months, even more, which is important considering that it's tough times for many startups coming out in the middle of a pandemic. So watch those interviews. Please hit us up with any other questions. Scott Raynovich, thank you so much for joining us to help talk about the industry, and this Pensando partnership extending with HPE. >> Thanks, Stu. Always a pleasure to join theCUBE team. >> All right, check out thecube.net for all the upcoming, as well as if you just search "Pensando" on there, you can see everything we had on there. I'm Stu Miniman, and thank you for watching theCUBE. (smooth music)

Published Date : Jun 17 2020

SUMMARY :

leaders all around the world, He is the principal analyst at Futuriom and how some of the startups are helping and the way I describe it is we're really they just picked up Mellanox, and it's going to be super and Chambers is no longer the CEO? and "We're going to give you a deal today. in the marketplace to take and 5G is one of the areas that it appears Scott mentioned many of the retail ones. Always a pleasure to join theCUBE team. I'm Stu Miniman, and thank

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Vipin Jain, Pensando | Future Proof Your Enterprise 2020


 

>>from the Cube Studios in Palo Alto and Boston connecting with thought leaders all around the world. This is a cube conversation. Hi, I'm stupid, man. And welcome to a cube conversation. I'm coming to you from our Boston area studio, and we're gonna be talking about the networking giant. So, uh, joining me is the first time on the program some of the members been on and the cover launch of Pensando so vivid Jane, his CTO and co founder of Pensando Bipin thanks so much for joining us. >>Thank you. It was very nice talking to you. >>All right, so in a big theme we've been talking about for a number of years now is multi cloud. And, you know, I go back and think about you know, that the concept of cloud and even, you know, I've been around long enough You think about the and one of the challenges you look at is well, security is always a challenge. The other things network bandwidth is not infinite. The speed of light has not been solved, though you know, help us understand is you know the first I guess give our audience a little bit of your background. As I said, anybody in the networking world knows less team, though. Tell us, you know, have you been on the journey with them for all of that? Or And you know what brought you and Sandy? >>Yes. Yes. Um, I mean, I've been in the journey with the team since 2000 and six, so it's pretty long, I would say 14 years now, and it's been tremendous. Um uh, at heart, I'm an engineer who takes, you know, Brian brilliant things and taking upon challenges. And I've got multiple startups before this been in a new era, The more startups before that. And of course, you know, they were not experience more independent startups. And, you know, all through the course, I have gained appreciation for, like, you know, starting all the way from silicon to build a distributed systems and a u io all the way up to the fully consumable, you know, system. So I I totally understand the the angle I need to look at this time in a holistic manner. Having contributed to Cisco, UCS of and Nexus products on. Before joining pensando, I was, um I was contributing with my own open source container networking project, which is quite exciting to see How do you evangelize, You know, my own my own core, and that was fun. And that's where I come from, But, uh, but I I'm I'm a software engineer. To start off it started contributing to a six, then started going into the application world with containers trying to pull a container networking with, Ah, we did a server product with Cisco UCS and on and pretty much all over the stack with respect, participation. So that's my background. Um, but it's being exciting to consider what's next for me. And I was largely trying to see >>so, so definitive, actually, if I If I could jump in there, right, you know, I think back the UCS it was, You know, some of those ways I gather virtualization had been around for quite a number of years at that point. But, you know, how do you optimize it you're in. How do you transform infrastructure toe live for those environments, though? You know, UCS, You know, remember, people get back saying, you know, Cisco getting into services like Well, they are. They are because they're changing that compute model really caught that. You know, Cisco led that way. If the urge instructor, so many things you talked about that we'll get to later in the interview open for station. When I look out today, you know infrastructure's paint a lot and cloud obviously, is a huge impact, but also the application. So help us understand kind of the the waves that were writing together And, you know, what was it that you know in Santo decided to build in order to meet what you know, the customers of a require >>Um So I think, you know, going back to the UCS common that you had We started off thinking, for example, what are what were the challenges with respect is scaling out the deployment of servers and we quickly realized that manageability is number one challenge on. And of course, you know when we speak about manageability, it comes down to the underpinnings of what you're building. Are you Are you able to see the entire infrastructure together, or are you still seeing those big pieces? And that's when I think UCS was born to say that Look, we need to bring everything together that could be consumed in a holistic manner. And for that you have to have all those components there are There are somewhat independent to be consumed as a unified thing. And which is why I think it was a unified computing system. UCS. Um and then I think, you know, and Sanders a journey that takes it to probably not just that concept, but in general, the the challenges and the disruptions that we're seeing to the next level. So, I mean, just to summarize, I would say we started off looking at all the disruptions that are happening in the industry. And there are many of those I'm happy to talk about, which means we looked at, uh and then we looked at What are the consumption models that people are largely, you know, finding it very appealing these days because the days in which you're going to write a spirit to do something is still pretty old you want to be able to consume and most this after consumable way, How can we build, you know, how can you build systems that are programmable in the field? Those kind of things? The consumption model reliability software is the friendly factor there, and highly appealing to you guys and all their last one. You know, at least we also we also wanted to be really heard in the game, competitiveness wise. So those were like the the overarching set of things there that we started to think about, like, what descriptions are we going to solve, um, and how the consumption model needs to be for or ah, for the future of infrastructure. And how can we get that key, which is which is far ahead and better than anything that exists out there? So that's where we started to look at. Let's bring something which is bigger B sphere and and something. Even if we have the possibility of feeling it. Let's go ahead and they're doing their anything. >>Yeah, and absolutely. There's been so much discussion over the last decade or so about about software's eating the world and what's going on there yet you know, your your team mates. It's a lot of times it's been the chip set. There have been some huge ripples in the industry, you know, major acquisitions by some of the big, disruptive companies out there. Apple made a silicon acquisition, you know, everybody paid and that will have. You can't talk about disruption today without talking about Amazon. And, of course, when Amazon bought Annapurna Labs, you know, those of us looking at the Enterprise and the clouds base was like, Keep an eye on this. And absolutely, it's been something over the last year or so now, where we've seen Amazon roll things out and, of course, a critical component of what Amazon's doing from outposts. So with that as the stage there, you talked about wanting to be interesting leading, you know Amazon, you know, is really sick, and it's setting the bar that everyone is measured against. And when I look at the solution pensando, the kind of best comparable analogy that we've seen is, you know, look at what Nitro chip can do. This is an alternative for all of the other 1000 for customers that might not want to get them from Amazon. Is that a fair comparison? And how would you line up what founder is doing compared to what Amazon has done there? >>Um, so you know, what you've seen in the Amazon announcement really is possible. Amazon is a great benchmark to beat eso No make mistakes. We are very happy to say that, you know, we are We are doing by comfortably so But then, you know, Amazon is more than more than just the just the chips that are that they are building. I mean, what you consume is what they're building and underneath the engines are really part up by by the nicety off all these things that they're very, um, having said that, you know, And Sandra was consisting off both the you know, it's recognized us as a team which has been in traditionally building chips. But yet I think you know, the the Iot or the the previous venture from Mpls Team was somewhat of an eye opening as to how bringing things together is much more value in op, ex and and simplifying things is a huge, huge value compared to just putting performance and those things. So why this is important? That is another aspect which is important in trying to simplify things and make it consumable like software. And Sandra itself has probably, you know, I would say, Ah, good chunk, like about 60% of people in software team and not the, you know, basic harbor t This is not to say that, you know, we, you know, we are under emphasizing one versus the other. Software is a bigger beast when you start trying to build all those programs on a programmable and doing that here and start to roll out those applications on. So that's why I think the emphasis on software is there. Having said that, you know, it's the software that runs the data path pipeline. There's also a layer of software that we're building that can help manage all you know, all the product in a more cohesive manner and unified. >>Okay, that's Ah, thank you for laying that out. You mentioned you've got some background and open for definitely an area where, for a number of years, you know, Amazon has not exactly, uh, open source. Not exactly been a strength for AWS. They have put a lot of effort. They've done some president IRS over the last couple of years. >>And >>how do you see open source fitting into the space? What is I kind of the philosophy of pensando when it comes to open source. And where do you see it playing in the You know, this network piece of the multi cloud. >>Yeah, no, I think it's It's ah, it's a squared, relevant in a way that you know of the cloud native movement on how applications with very Onda normalization of AP eyes across multiple clouds. Israel, We are all seeing the benefits offered. And I think that that trend will continue and which is all driven through open source Ah, you know, community that exist in, you know, in the heart of the word. So personally for me, I think I learned a whole lot of things in the open source community. You know, the importance off evangelizing whatever you're working on, the reason to have convinced other people about contributing into what you're working on on. Frankly, I also learned how difficult it is to make revenues in an open source based part of that strategy. So I think you know that those were the things that I got away from it when I was doing my own open source project of container networking. Um, but at the same time, pensando, uh, you know, we have to make sure that we are 100% aligned with anything that's happening in open source. Never replicated, Um, anything that might be that might be happening in open source instead tried to make people use those things in the best possible way and in the most efficient way and the easiest possible way to use those. So our strategy largely is that, you know, embrace open source which exists are there from an infrastructure point of view, we are collaborating and communicating with less of the users are Hello. I think we're going to standardize most of things we're looking in before community. So our stands largely is that, you know, if we are building a programmable platform than the community is what is gonna driver and we are very much working towards a step by step, of course, trying to get through, you know, a stable state where we could we could not just empower people who are who are taking up the open source efforts which are going on. But at the same time, we can also contribute our program are programs into the open source community and defining the right abstractions into into the community. Um, because we came out of stealth pretty recently, you'll start seeing that and helping those activity as Well, >>excellent. Well, you know the launch of Pensando you had a phenomenal lineup. Not only you know, John Chambers obviously has the relationship with your theme, but you know, oh, am partners of Hewlett Packard, Enterprise and IBM, as well as the Marquis of Goldman Sachs. Things look a little bit different in the first half of 2020 and then they didn't end of 29 teams. So, you know, curious, You know that the global pandemic, the rippling financial implications, you know, what does that mean? The pensando. How has that impacted conversations that you're having with your >>Well, one thing I know at a broader level, let me cover, um, where things are heading. And in that sense, you know, I see that network and the infrastructure in general cloud infrastructure networking it's going to become. And we have realized it's this during during during recent early 20 twenties that that is going to be very important to have the have a new underpinning infrastructure that is not just working efficiently, securely, but is, you know, highly cost effective and very high performance, you know, ranging from people who are trying to connect from home to people who are trying to use videoconferencing and people who are going to be more and more use cloud based services even to order simple of the data being, you know, going to source for so network will become essential, you know, essential element for four things as we go forward. And we do see that being embraced by our customers and and things where we were trying to communicate that, you know, look, you will need performance and cost benefits are becoming more and more real Now. It's like, oh, things that we were having things in the pipeline for us. We need to work on that now. And the reason is because the things that we anticipated the demand increase, which is gonna happen over the fear of years, is happening literally in a few months. And so that is what we see. We are definitely, you know, very well poised to take advantage of their of their demand for sure. But also the fact that you know it needs to be done super efficiently. And so I think we are. You know, we are right. Well, I would say, you know, situated to be able to take advantage of start. >>Yeah, absolutely. You know, one thing you can't control as a company is you know what the global situation is when you come out of stealth and, you know, move through some of those early phases, you know, you've been part of You said a number of startups you've been part of been in give us a little bit of the inside baseball of, you know, being part of Rondo. You know, any stories on a little some of the ups and downs on the multi year journey to get where you are today? >>Definitely. I think. You know, um, minutes aren't good. They are largely an execution play. Relatively independent startup is is going to be about you know, how we cracked the overall market market fit and, ah, on execution, Of course, on deal with maybe in a competition in a different way, of course, like maybe big companies are our great partners. At the same time, you have to navigate that. So the overall the overall landscape in Spain and forces forces not is it's quite different. We can be much more border than we are independent company In trying to disrupt almost anything because we don't have any point of view to define per se. We do exactly, You know, what could be the most disruptive way, too, to potentially benefit the users on day? That's a big, you know, big change. I would say, um, we are being but paranoid as well at the same time, impractical to look at. You know how how we could navigate this situation in a very practical may. And the journey off, often independent startup is, you know, personally, for me, this is this is my fourth in different and start and best off. Off off, all independent. Once, I would stay largely because the kind of tradition that we're getting being an independent company is so huge. I'm just concerned about those things. But what We're really trying to trying to ensure that, you know, we can't get our stuff, but I want you and we started. >>Excellent. Guess what? One of the other things about being a startup is You know what you know adjustments You need to make along the way. So I'm curious. As you know, you've gone to some of your early customers. Any feedback or adjustments in some of the use cases or, you know, things that you've learned along the way that you can share. >>Um, fundamentally, at a base level, we haven't shifted from what we started off. We look at disruptions on on how consumption models are going to be changing, how speeds and feeds are gonna become important because, you know, because most law is going to be almost operating, how we how we deliver things into and containers are going to be a primary, you know, vehicle to deliver and build applications. So we recognize those disruptions, and we haven't changed, But normally from those disruptions that we wanted people after her. Uh, but at the same time, I think, you know, as we went and socialize our ideas and on architecture and designs with customers, we realized that that they are giving us lots more feedback on work all we could do and ah, and starting to become like we could take on different segments of market and not just one. So why stick ourselves to the data center power? Why not work on something on edge, blur wine or wine are real solutions for five G where latency and and performance is super crucial. Why don't take up on, you know, branch that use cases. So there are many things that are opening up. Um, and largely the you know, the shift. Or I would say the the inclination of what we should change versus not is happening with respect to where our customers are driving us. And and it is very important to make sure that you know the users of our lives Articulating all of the shift happens as opposed to, uh, you know, as opposed to anything else. We listen to them like super, super carefully, uh, and at the same time trying to make sure that we not only meet their means for you there their demands. So, um, definitely, you know, from the from the overall landscape of things, we are starting to get a lot more than what we are capture, which is good news For the same time, we're trying to also, uh, take on one part. I'm you know, >>all right, Vivienne, I can't let you off the hook as the cto without talking a little bit about that. You know, I think earlier in my career there was the old discussion and said you know, we should have started it, you know, a year or two ago. But, you know, we didn't. So we should start it today with changing pace of technology. You know, I've always said, you know, if I could I'd rather wait a year because I could take the next generation. I can take advantage of all these other things, but I can't wait, because then I'd never ship any things that I need to start now, Give us a little bit, you know, Look out in the future. How is your architecture designed to be able to take advantage of all the wonders coming with five G and everything there, Um, and anything that we should be looking at, You know, through the next kind of 12 18 months on the roadmap that you could share >>your Ah, yes. So, um, I would first of all say that we didn't build a part of, actually, what we build was a platform on which we can build multiple products. And we started we started off going there because we thought that, you know, the the platform that we're building is capable of capable of doing a lot more things than than one use case that we start off with. And so, to that point, I would say that yes. I mean, he started focusing on one product initially on the possibilities off. Trying to take it to multiple segments is is normally very much there. But we are already, you know, having those conversations to see what is the core set of use cases that we could we could get into for different segments. Besides the data center, you know, public Private Data center, you're looking at edge. We're looking by the looking at, Yeah, you mentioned this is as well as the, you know, storage and conversion infrastructure. So I would say that the food of all those things that we're starting to engage is going to start showing up in next 18 months. I could actually I think we are very well boys to take advantage of what we have. The hardware that we're shipping is going to be 100% compatible with four programs, but I don't those. So that is that is lot more possibilities are interesting. More use cases as people. The software's architecture that we have built is very extensible as well. Eh so we believe that. You know, uh, we believe that we can normally satisfy those use cases, but we're starting to you get into those things now, which will start to show up in and actually useful products of unusable for us with customer testimonials and then maybe 12 to 18 months from now. All >>right, well, thank you so much. It's great to catch up with. You really appreciate you coming on. >>Thank you to Because they're talking to you. And, you know, I appreciate your time. >>All right, I'm stew minimum. And be sure to check out the cube dot net for all the coverage. Go see the launch that we did. So in the second half of 2019. Thank you for watching you. Yeah, Yeah, yeah, yeah.

Published Date : Jun 17 2020

SUMMARY :

I'm coming to you from our Boston area studio, It was very nice talking to you. And, you know, I go back and think about you know, that the concept of cloud And of course, you know, they were not experience more independent startups. in order to meet what you know, the customers of a require How can we build, you know, how can you build systems that are programmable in the field? the kind of best comparable analogy that we've seen is, you know, look at what Nitro chip so But then, you know, Amazon is more than more than just the just the chips you know, Amazon has not exactly, uh, open source. And where do you see it playing in the You know, which is all driven through open source Ah, you know, community that exist in, the rippling financial implications, you know, what does that mean? And in that sense, you know, I see that network and the infrastructure us a little bit of the inside baseball of, you know, being part of Rondo. startup is is going to be about you know, As you know, you've gone to some of your early customers. Um, and largely the you know, we should have started it, you know, a year or two ago. But we are already, you know, having those conversations You really appreciate you coming on. And, you know, I appreciate your time. Thank you for watching you.

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Jerry Cuomo, IBM | IBM Think 2020


 

>>From the cube studios in Palo Alto in Boston. It's the cube covering the IBM thing brought to you by IBM. Everybody we're back. This is Dave Vellante the cube, and this is our wall-to-wall coverage, IBM's digital thing experienced for 2020. We're really excited to have Jerry Cuomo on. He's the, uh, vice president of blockchain technologies and an IBM fellow and longtime cube alum. Jerry, good to see you again. Thanks for coming on and wish we were face to face, but yeah, this'll do. Good to see you too. Yes, thanks for having me. So we've been talking a lot of and talking to, I've been running a CEO series a, of course, a lot of the interviews around, uh, IBM think are focused on, on COBIT 19. But I wonder if you could start off by just talking a little bit about, you know, blockchain, why blockchain, why now, especially in the context of this pandemic. >>David's, it's as if we've been working out in the gym, but not knowing why we needed to be fixed. And I know now why we need to be fit. You know, blockchain is coming just in time. Mmm. You know, with the trust factor and the preserving privacy factor. Okay. The way we move forward the world is now becoming more digital than ever people working from home. Um, the reliance and online services is, that's critical. our ability to work as a community accompanies companies. The shared data is critical. you know, blockchain brings a magical ingredient and that's the ingredient of trust, you know, in sharing data. Okay. When, if that data and the sources that are providing that data arc okay. From verified and trusted, we're more likely to use that data and you the, any friction that's caused for fear of trepidation that the data is going to be misused. >>Mmm. It goes start to go away. And when that happens, you speed up an exchange and we need speed. Time is of the essence. So blockchain brings a platform for trusted data exchange while preserving privacy. And that provides a foundation. I can do some amazing things in this time of crisis, right? Yeah. And it's, it's not only trust, it's also expediency and you know, cutting out a lot of the red tape. And I want to talk about some of the applications. You're heavily involved in that in the distributed ledger, a project, you know, one of the early leads on that. Um, talk about some of the ways in which you're flying that distributed a ledger. And let's go into some of the examples. So we're, we're really fortunate to be an early adopter blockchain and, and provider of blockchain technology and kind of the fruit of that. >>Um, as I said, it couldn't happen any sooner where we have, Mmm, I would say over a thousand, alright. Users using IBM blockchain, which is powered by the opensource Hyperledger fabric, I'd say over a hundred of those users, um, have reached a level of production networks. you know, it's been great to see some of the proprietors of those networks now repurpose the networks towards hastening the relief of, uh, and one, a couple of examples that stand out, Dave. Mmm. You've seen what's happening to our supply chain. And then I think we got some rebound happening as we speak, but companies all of a sudden woke up one morning and their supply chains were, I'm exhausted. So suppliers, we're out of key goods and the buyers needed very rapidly to expand. They're, the supplier is in their, in their supply chain. there are laws and regulations about what it takes to onboard a new supplier. >>You want to make sure you're not onboarding bad actors. So in IBM for example, we have over 20,000 suppliers to our business and it takes 30 to 40 days who, uh, validate and verify one of those suppliers. We don't have 30 to 45 days, you know, think about you're a healthcare company or a food company. So working with a partner called Jane yard, uh, co-created a network called trust yourself buyer. And we've been able to repurpose, trust your supplier now or companies that are looking, you know, around Kobe 19 to rapidly okay, expand, you know, their, their supply chain. So if you imagine that taking us 45 days or 40 days to onboard a new supplier, okay. Pick, pick a company in our supply chain, Lenovo, that supplier may very well want to go to Lenovo to and provide services to them. Well guess what, it's going to take 40 days, the onboard to Lenovo. >>But if they're part of the trust or supplier network and they've already onboarded to IBM, they're well on their way. You're being visible to all of these other buyers that are part of the IBM network, like Lenovo and many others. And instead of taking 40 days, maybe it only takes five days. All right. So radically, radically, you know, improving the time it takes them. You know, with companies like Ford making ventilators and masks, it will kind of be able to onboard Ford into, you know, health care, uh, companies. But you know, we want to be able to do it with speed. So trust your supplier is a great use of blockchain. Two, expand a buyer and suppliers. Mmm. Exposure. Mmm. And they expand their network to quickly onboard. And you know, with the trust that you get an exchanging data from blockchain with the Mmm provenance, that Hey, this company information was truly vetted by one of the trusted members of the network. >>There's no fee or trepidation that somehow these records were tampered with or, or misused. So that's one example they have of using blockchain. That's a huge, uh, example that you gave because you're right, there are thousands and thousands of companies that are pivoting to making, like you said, ventilators and masks and yeah, they're moving so fast and there's gotta be a trust involved. On the one hand, they're moving fast to try to save their businesses or you know, in the case of Ford, you help save the, the country or the world. On the other hand, you know, there's risks there. So that, that helps. I want to understand me. Pasa basically is, if I understand it, you can privately share, uh, information on folks that are asymptomatic but might be carriers of covert 19. Am I getting that right on? Okay. So me Pasa starts as a project, uh, from a company called has Sarah and their CEO Jonathan Levy. >>And among other things, Jonathan Levy is an amazing, uh, software developer and he's helped us and the community at large, bill, the Hyperledger fabric, uh, blockchain technology, that's part of IBM. Mmm. The power is IBM blockchain. So Jonathan, I have this idea because w what was happening is there were many, many data sources, you know, from the very popular and well known, uh, Johns Hopkins source. And we have information coming from the weather company. There are other governments, um, putting out data. Jonathan had this, this idea of a verified Mmm. Data hub, right? So how do we kind of bring that information together in a hub where a developer can now to get access to not just one feed, but many feeds knowing that both the data is an a normalized format. So that's easy to consume. And like if you're consuming 10 different data sources, you don't have to think about 10 different ways to interact it. >>No kind of normalizing it through a fewer, like maybe one, but also that we really authentically know that this is the world health organization. This is indeed John Hopkins. So we have that trust. So, okay. Yeah. With me, Pasa being I'm a data hub four, uh, information verified information related to the Kronos virus, really laying a foundation now for a new class of applications that can mash up information to create new insights, perhaps applying Mmm. Artificial intelligence machine learning to really look not just at any one of those, uh, data sources, but now look across data sources, um, and start to make some informed decisions. No, I have to say operate with the lights on, uh, and with certainty that the information is correct. So me Pasa is that foundation and we have a call for code happening that IBM is hosting for developers to come out and okay. Bring their best ideas forward and X for exposing me Pasa as a service to the, in this hackathon so that developers can bring some of their best ideas and kind of help those best ideas come alive with me. Me has a resource. >>That's great. So we've got two, we got the supply chain, we just need to share the Pasa. There's the other one then I think we can all relate to is the secure key authentication, >>which I love. >>Uh, maybe you can explain that and talk about the role that blockchain >>we're launching fits, right. So you know, there is people working from home and digital identity verification. It is key. You know, think about it. You're working remotely, you're using tools like zoom. Um, there's a huge spike in calls and online requests from tele-health or government benefits programs. Yeah. So this is all happening. Everything behind the scenes is, yeah. Around that is, is this user who they say they are, is this doctor who they say they are, et cetera. And there are scams and frauds out there. So working with speed, it means working with certainty. and with the verified me networks set out to do a couple of years ago and the beautiful part is, you know, it's ready to go now for this, for this particular usage it's been using. Mmm. Basically think about it as my identity is my identity and I get to lease out information too different institutions to use it for my benefit, not necessarily just for their benefit. >>So it's almost like digital rights management. Like if you put out a digital piece of art or music, you can control the rights. Who gets to use it? What's the terms and conditions, um, on, on your terms? So verified me, um, allows through a mobile app users to invite institutions who represent them, verify them. No. And so I'll allow my department of motor vehicle and my employer, Mmm. Two to verify me, right? Because I want to go back to work sooner. I want to make sure my work environment, um, I'm making this up. I want to make sure my work environment, the people have been tested and vaccinated, but I don't want to necessarily, you know, kind of abuse people's privacy. Right? So I'll opt in, I'll share that information. I'll get my, my doctor and my, uh, department of motor vehicle to say, yes, this is Gary. >>He's from this address. Yes, he has been vaccinated and now I can kind of onboard to services as much quicker whether that service is going through TSA. Do you get on an airplane badging back into my office or you know, signing on to a, you know, telemedicine, a service or government, a benefits program, et cetera. So verify me is using the self, uh, at the station through a mobile application to help speed up the process of knowing that that is truly you and you truly want this service. Uh, and you are also calling the shots as to that. What happens with your information that, you know, it's not spread all over the interweb it's under your control at all time. Right. So I think it's the best of all worlds. The national Institute for standards and technology looked at, verified me. They're like, Oh my gosh, this is like the perfect storm of goodness for identity. >>They actually appointed, yeah, it has a term, it's called triple blind data exchange. It sounds like a magical act. A triple blind data exchange means the requester. Mmm. Doesn't know who the provider is and less know the requester. Um, allows the provider to know, Mmm, the provider doesn't know who the requester requested, doesn't know who the prior provider is that is double-blind. And then the network provider doesn't know either. Right. But somehow across disformed and that's the magic of blockchain. I'm allowing that to happen and with that we can move forward knowing we're sharing information where it matters without the risk of it leaking out to places we don't want to do. So great application of secure key and verified me. Yeah, I love that. Then the whole concept of being able to control your own data. You hear so much today about, you know, testing and in contact tracing using mobile technology to do that. >>But big privacy concerns. I've always felt like, you know, blockchain for so many applications in healthcare or just being able to, as you say, control your own data. I want to better understand the technology behind this. When I think about blockchain, Mmm. I obviously you don't think about it. Cryptography, you've mentioned developers a number of times. There's software engineering. Yeah. Distributed ledger. Um, I mean there's, there's game theory in the, in the, in the cryptocurrency world, we're not talking about that, but there's the confluence of these technologies coming to them. What's the technology underneath these, these applications? Talking about it there, there is an open source, an organization called Hyperledger. It's part of the Linux foundation. They're the gold standard and open source, openly governed, Mmm. Technology you know, early on in 2018 yep. 18, 26. I mean, we got involved, started contributing code and developers. >>Two Hyperledger fabric, which is the industry's first permissioned blockchain technology. Permission meaning members are accountable. So the network versus Bitcoin where members are anonymous and to pass industry Reggie regulations, you can't be anonymous. You have to be accountable. Um, that's not to say that you can't, okay. Work privately, you know, so you're accountable. But transactions in the network, Mmm. Only gets shared with those that have a need, need to know. So that the foundation is Hyperledger fabric. And IBM has a commercial offering called the IBM blockchain platform that embodies that. That kind of is a commercial distribution of Hyperledger fabric plus a set of advanced tools to make it really easy to work with. The open source. All the networks that I talked about are operating their network across the worldwide IBM public cloud. And so cloud technology lays a really big part of blockchain because blockchains are networks. >>Mmm. You know, our technology, IBM blockchain platform runs really well in the IBM wow. But it also allows you to run anywhere, right? Or like to say where it matters most. So you may have companies, I'm running blockchain nodes in the IBM cloud. You may have others running it on their own premises behind their firewall. You might have others running an Amazon and Microsoft Azure. Right. So we use, um, you may have heard of red hat open shift, the container technology so that we can run Mmm. Parts of a blockchain network, I guess they said where they matter most and you get strengthened a blockchain network based on the diversity of the operators. Because if it was all operated by one operator, there would be a chance maybe that there can be some collusion happening. But now if you could run it know across different geographies across the IBM cloud. >>So almost three networks all run on use this technology or run on the IBM cloud. And Dave, one more thing. If you look at these applications, they're just modern application, you know, their mobile front ends, their web portals and all of that kind of, okay. Okay. The blockchain part of these applications, usually it's only 20% of the overall endeavor that companies are going through. The other 80% it's business as usual. I'm building a modern cloud application. So what we're doing in IBM with, but you know, red hat with OpenShift with our cloud packs, which brings various enterprise software across different disciplines, blends and domains like integration, application, data, security. All of those things come together to fill the other 80% the above and beyond blockchain. So these three companies, okay. You know, 99 plus others are building applications as modern cloud applications that leverage this blockchain technology. So you don't have to be a cryptographer or you know, a distributed database expert. It's all, it's all embodied in this code. Mmm. Available on the IBM cloud, 29 cents a CPU hour. It was approximately the price. So it's quite affordable. And you know, that's what we've delivered. >>Well, the thing about that, that last point about the cloud is it law, it allows organizations, enterprises to experiment very cheaply, uh, and so they can get, uh, an MVP out or a proof of concept out very quickly, very cheaply, and then iterate, uh, extremely quickly. That to me is the real benefit, the cloud era and the pricing model. >>I just mentioned, David, as I said it when I started, you know, it's like we were working out in a gym, but we weren't quite sure. We knew why we were, we were so keen on getting fit. And what I see now is this, you know, blossoming of users who are looking at, you know, a new agreement. We thought we understood digital transformation. Mmm. But there's a whole new nice to be digitized right now. You know, we're probably not going to be jumping on planes and trains, uh, working as, as, as more intimately as we were face to face. So the need for new digital applications that link people together. Uh, w we're seeing so many use cases from, um, trade finance to food safety, to proxy voting for stock, know all of these applications that we're kind of moving along at a normal speed. I've been hyper accelerated, uh, because of the crisis we're in. So blockchain no. Couldn't come any sooner. >>Yeah. You know, I want to ask you, as a technologist, uh, you know, I've learned over the years, there's a lot of ways to skin a cat. Um, could you do the types of things that you're talking about without blockchain? Um, I'm, I'm sure there are ways, but, but why is blockchain sort of the right path, >>Dave? Mmm. You can, you can certainly do things with databases. Mmm. But if you want the trust, it's as simple as this. A database traditionally has a single administrator that sets the rules up for when a transaction comes in. Mmm. What it takes to commit that transaction. And if the rules are met, the transactions committed, um, the database administrator has access who commands like delete and update. So at some level you can never be a hundred percent sure that that data was the data that was intended in there. With a blockchain, there's multiple administrators to the ledger. So the ledger is distributed and shared across multiple administrators. When a transaction is submitted, it is first proposed for those administrators, a process of consent happens. And then, and only then when the majority of the group agrees that it's a valid transaction, is it committed? And when it's committed, it's committed in a way that's cryptographically linked two other transactions in the ledger, I'm making it. >>Mmm tamper-proof right. Or very difficult to tamper with. And unlike databases, blockchains are append only so they don't have update and delete. Okay. All right. So if you really want that center of trusted data that is a tested, you know, that has checks and balances across different organizations, um, blockchain is the key to do it, you know? So could you do it in data with a database? Yes. But you have to trust that central organization. And for many applications, that's just fine. All right. But if we want to move quickly, we really want to share systems of record. Mmm. I hear you. Sharing a system of record, you have regulatory obligations, you can say, Oh, sorry, the record was wrong, but it was put in there by, by this other company. Well, they'll say, well, >>okay, >>nice for the other company, but sorry, you're the one in trouble. So with a blockchain, we have to bring assurances that we can't get into that kind of situation, right? So that shared Mmm. Distributed database that is kind of provides this tamper resistant audit log becomes the Colonel cross. And then with the privacy preservation that you get from encryption and privacy techniques, um, like we have like these things, both channels, um, you can transact, um Hm. And be accountable, but also, Mmm. Only share of transactions with those that have a need to know, right? So you get that level of privacy in there. And that combination of trust and privacy is the secret sauce that makes blockchain unique and quite timely for this. So yeah, check it out. I mean, on the IBM cloud, it's effortless. So to get up and running, you know, building a cloud native application with blockchain and you know, if you're used to doing things, um, on other clouds or back at the home base, we have the IBM blockchain software, which you can deploy. Yeah. Open shift anywhere. So we have what you need in a time of need. >>And as a technologist, again, you're being really, I think, honest and careful about the word tamper. You call it tamper resistant. And if I understand it right, that, I mean, obviously you can fish for somebody's credentials. Yeah. That's, you know, that's one thing. But if I understand that, that more than 50% of the peers in the community, it must agree to tamper in order for the system. You tampered with it. And, and that is the beauty of, of blockchain and the brilliance. Okay. >>Okay. Yeah. And, and, and for, um, performance reasons we've created optimizations. Like you can set a consensus policy up because maybe one transaction it's okay just to have a couple people agree and say, Oh, well, you know, out of the a hundred nodes, Mmm. Three agree, it's good enough. Okay. Other, other policies may be more stringent depending on the nature of the data and the transaction, right? So you can tone, you can kind of tune that in based on the class of transaction. And so it's kind of good and that's how we can get performance levels in the, you know, thousand plus. In fact, IBM and RBC, um, recently did, um, a series of performance analysis because RBC said, Hey, can I use this for some of my bank to bank exchanges and we need to support over a thousand transactions per second. They were able, in their use case, there's support over 3000. Transact for a second. Okay. Mmm. You know, that we were very encouraged by that. I'm glad you clarified that because, so essentially you're saying you can risk adjust the policies if you will. >>That's great to know. Mmm. I could go on forever on this topic. Well, we're unfortunately, Jerry, we're well over our time, but I want to thank you for coming back, planning this important topic. Thrilled. IBM has taken a leadership position here, and I think, you know, to your point, this pandemic is just going to, can accelerate a lot of things and blockchain is, but in my view anyway, one of them. Thank you, Dave. Oh, great questions and I really appreciate it. So everyone out there, um, stay safe. Stay healthy. All right. Thank you Jerry, and thank you for watching everybody. This is Dave Volante for the cube. Our coverage of the IBM think digital 2020 event. We'll be right back. Perfect. The short break.

Published Date : May 5 2020

SUMMARY :

the IBM thing brought to you by IBM. you know, in sharing data. it's also expediency and you know, cutting out a lot of the red you know, We don't have 30 to 45 days, you know, think about you're a healthcare company or a food company. And you know, you know, in the case of Ford, you help save the, the country or the world. is there were many, many data sources, you know, from the very popular and well known, So we have that trust. There's the other one then I think we can all relate to is the secure key authentication, set out to do a couple of years ago and the beautiful part is, you know, it's ready to go now for you know, kind of abuse people's privacy. signing on to a, you know, telemedicine, a service or about, you know, testing and in contact tracing using I've always felt like, you know, blockchain for so many applications in healthcare that's not to say that you can't, okay. So we use, um, you may have heard of red hat open shift, And you know, benefit, the cloud era and the pricing model. And what I see now is this, you know, blossoming of users Um, could you do the types of things that you're talking about without blockchain? So at some level you So if you really want that center of trusted data that So to get up and running, you know, building a cloud native application with blockchain That's, you know, that's one thing. it's okay just to have a couple people agree and say, Oh, well, you know, you know, to your point, this pandemic is just going to, can accelerate a lot of things and blockchain is,

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Shail Jain, Accenture, Nitin Gupta, AWS, and Sumedh Mehta, Putnam


 

>>live from Las Vegas. It's the Q covering AWS executive. Something >>brought to you by Accenture. >>Welcome back, everyone. We are kicking off day two of the cubes. Live coverage of the ex center Executive Summit here at AWS. Reinvent, I'm your host, Rebecca Knight. We have three guests for this panel. We have some bad meta. He is the chief information officer at Putnam based in Boston. Where? Boston People together. Thank you so much for coming on the show. Nitin Gupta. He's the partner and solutions lead. Financial service is at AWS Welcomed and Shale Jane back again for more. Who leads the data business group in North America. Thanks >>so much the last time. >>Yes. We can't get enough of each other. So thank you so much for coming on the show. We're talking about the data data journey and financial service is so I'm gonna start with you, Sam. It tell us. Tell our viewers a little bit about Putnam. That your assets under management. Your employees? >>Sure. So you know, problem is a global firm. We are a leader in mutual funds in the mutual fund business. We're in 84 year old organization. We based in Boston on, and we are known for innovation. We've done a lot of firsts in our industry on our focus has always bean looking after the needs of our shareholders. So even as we launch digital transformation, we launch it with the lens off, making sure we're covering the needs of our shareholders. >>So what was the impetus? What was the driving force to it? To embark on this cloud journey? >>Sure, So you look recovered. The financial markets recover industries. We look at our own industry as well. Things are changing rather rapidly, right, if I may just turn it around a little bit. Last year's letter from our CEO Bob Reynolds, said That problem now has Maur increasingly Maur four and five star funds, according to Morningstar, then we've had it as a percent of total funds ever. Before we had inflows, when the rest of the industry were having outflows, we built a digital platform and we said digital technology at problem is how we gonna view the internal technology department who will help enable our company to go and provide the investment insights directly to our advisors and to our shareholders so that they can benefit from the performance that we're we're delivering, right? We can only do that through a change. What's really going on in our industry is that there's more choice that's now available to shareholders than ever before. So while we talk about where there's outflows in in in our world, there's actually a lot of flow happening, right, So So it's for us to figure out how. How are the tastes changing right? What are people buying would do advisors need? When do they need them and can reposition ourselves to service them at scale, and so that those are the things that are driving our business? For us to continue to serve the shareholders needs. We really need to be in tune with where the market is. So we're helping do that at Putnam through technology, >>so shale in it. And I mean, what he's just described is thin. This enormously changing landscape and financial service is disrupted by a lot of new entrance. A lot of financial text in tak, a lot of different kinds of technologies. A lot of industries are experiencing this rapid pace of change. How do u ex ensure in AWS work with Putnam amidst this tremendous change, and how do you sit down with the client and sort of work out? Where do we go from here? >>So you know, I want to touch upon a couple of things that made you said And Rebecca You said, So no one is the cloud of their journey. It's It's not a destination that you're trying to get to, And then the other thing that you talked about, it's change. So we had in the cycle right now. But there's a lot of change happening at an industry we had in the cycle Where you nothing, that $38 trillion or something, which is a generator, you know, they're just getting transferred from one generation to the other. I'm not getting any off it. Unfortunately, you know >>all of >>this change that is happening in the industry. What is really required is you need something up in terms of technology, a platform that allows you to move quickly on adapt really quickly to this change. And I think that's where cloud comes in when we talk about all the new generation technologies like data machine learning, artificial intelligence, how >>do you >>leverage all of those. How do you fail quickly? How do you test experiment? Run thousands of not millions of experiments and see what will work in what will not work and do that in a very cost effective way and cloud of a very easy. It's an effective way to do it. And the weight of Louis is helping our customers. Obviously. You know, we we announced a bunch of service is yes, today way have the widest and the deepest tack that is dead in the industry today. You know the strength of our partners. Accenture. So you know, Accenture has Bean one of our longest standing partners altar and financial firm on, you know, working with them, working with our partners to enable our customers. But then we're also investing very heavily in building our industry capabilities. Are accounting solution architects? Professional service is security professionals helping our customers answer all the questions that they would need to answer as they go in this journey with us. So it's, you know, we are in this with them for for the long haul on dhe, you know, super excited about parking trip. >>So from our perspective, I think where we view the world as at a point where we're post digital, where digital was to put a front end that made your engagement with the customers much better. But now we're talking about intelligent enterprise, which is to really digitize the company from the inside out. So not only you need cloud for agility and all the other benefits that cloud offers, but you also need to look at data is the vehicle that would actually not only transform the culture of the company but also be able to integrate with your partners. For example, Cement talked about, you know, getting mind share from the advisers. But if you can exchange data, integrate data much better, faster with them and serve data to them in shapes and speeds that they need, they'll be more amenable to put you on their roster as well. So I think we're seeing a change that's mostly driven by the fintech industry disruption. That's that's happening as well. And it is no better time than now with the cloud and data to really help transform companies like >>the's tons of innovation, right, it's We heard Andy Jassy talk about the Let's roll Sweet the Sweets that are available to us. Our job is to learn what they are and how does it apply to our business because at the end of the game you said it's about our shareholders. It's about the value that we can bring. But we want to harness the power off all of the innovation, and we can't even though we've Bean an innovator, we're not going to innovate alone, all right, so it's really helpful to have to surround yourself with partners who have done this before, to be learning from others and bringing in the right tools at the right time, so so we can turn things around quickly, right? This is way are obviously very conservative and risk averse when it comes to managing other people's money. So we have to be very, very careful. Having said that, you know, we want to learn about all the guardrails we can put in place so we can go faster. >>I want to actually do something about what Shayla brought up, and that is the cultural change within the organization, because change is hard and so many people are resistant, particularly when things are going relatively well and they say Why mess that up with the new technology? So how is hard? Maybe >>is the understatement of the week very hard, and as you guys know, you know where it's not. It's not hard because people don't just want changes. They are experts in things that they've been doing for the last 15 years. 20 years. They've bean at our firm for a really long time. They really know how everything works from front to back. What happens, though? Now, when we get a changing need from the market and people want to buy things differently and we want to sell different products and maybe wanna introduce new products to the market, we can create bottlenecks that slow things down if we're not careful. So this is where we want to learn about the two pizza teams and how you can do things faster. How can we apply that to our world? Which means business partners working with technology, co located in small teams, being completely empowered to deliver solutions, right, working with our risk and compliance people, making sure that everyone's doing things that there were supposed to be doing right? How do we put that to work in the financial service is industry. So where we're learning as we go, we're learning to break down the sidles in the organization, and it's hot all the way around because we're experts in our areas. We know what we've done really well. But fortunately we have a leader in our CEO who's basically said that Let's transform problem so that we become leaders in the digital era for financial service is so with his support waken. Get the executive team align, and as the executive team aligns, then you find that people in the organization they want to work in this model, right but way don't know yet what we don't know, right? It's so we know how to do things from yesterday. Now we're learning and working together. So you guys have come in and this is where we've said, Bring in the people who have done this before and let's hold a session with 40 50 people that Putnam and let's just learn about what that transformation looked like at other places, so we don't make the same mistakes. >>Well, that's what Andy Jassy said in his fireside chat this morning. He was talking about how he had surgery recently in the question you need to ask your surgeon is how many times have you done this surgery? Because that is the critical thing. And so having a trusted partner is so important. So how how does it work that we're working together, collaborating on this relationship? How are you ensuring that Putnam doesn't make mistakes and does do the right tool for the right job shell? >>So, um, earlier this year, we actually launched an offering. A devious lighthouse with eight of us and what it is is a is a collection off. All of our assets are thought, leadership and architectures that we have garnered over the years, having worked with plants like Putnam and have them through the journey. So we put them all together and we bring Bring that Fourth Putnam is one of the first clients actually take advantage of it Abuse Data Lighthouse and, for example, we have a methodology that is specially customized for doing data on on eight of us. So things like that is what we bring to the table to help eliminate the risk that they may encounter. >>And data is critical to us, right? It's we manage a set of data assets, and that's the engine off the organization. So when we look at cloud migration way, look at what's our data strategy? How are rebuilding the so called you guys introduce the terminology for confirmed data sets? And then can we gallon eyes the rest of the organization around it, from investment professionals to operational professionals who used that data every day. Manager governent Make sure that it is what it's supposed to be. And to do that in a cloud environment where their user experience becomes a lot simpler, a lot easier almost takes I t a little away from the day to day. We don't have to be in the report writing business because we can make them more self service right that will create efficiencies in our organization. Our clients are asking us to do things at a lower cost than ever before and introduce more products and more tools and more service is right, so >>I would just tie with Samantha, just said with your question about culture. So if you can make it easy for people, for example, making things self service and data that's discovered through a catalog, so you have a place where you can go and find all the data sets it available. What is the quality? What is the veracity of data and then be able to take a piece of that and try some experiments with it? I think that would enable the cultural change much faster >>because they are able to basically do their jobs better. >>Yes, yes, >>it is. A is a more productive implement. Will highly >>engaged employees, right? We don't want to be in a situation where we find a lot of those disengagement moving employees and the mission for company. We want high engagement. We own people committed to what they're doing. We want to remove hurdles, and technology is they can produce great efficiencies, but it's not done right. It can also be a big hurdle. So we want to learn how to deliver the right tools, the right products to make it easier for way like to say, bring delightful experiences for our clients and our employees. >>Delightful. Another were another Jeff Bezos favorite word of his Obviously Putnam is, is a real innovator and really on the vanguard of this new technology. What are you seeing in the greater financial service is landscape. I mean, how how what are the what is the corporate mind set when it comes to this kind of change? >>So you know, when we look across our financial service is customer base across banking, capital markets, insurance pretty much every customer today. The question is not, you know if we should move to the cloud or when should we move to the cloud? But I think every every CEO and see io is asking the question, How do I move too loud? And what applications do I move over? How do I start on this journey of transformation? Whether it's a digital or it's reducing costs are improving my risk. Posher whatever that end goal is on dhe, you know, when we look at use cases across the industry, risk and data is with one of the easiest use cases to get started with, say, on Ben Field. They were looking at Solvent E to calculations for 25 million other policy holders, and they reduce that time from 10 days to 10 minutes. That is a, you know, really good use case off getting moving to the cloud. You know, if Indra is a great example. They're very public customer analyzing 38 building over market records in the stock market and looking in on alive in all of the data. On it up with data and risk is one of the core use cases that companies start with but then >>has to >>get more as they learn more about the cloud. As they get more get a deeper understanding, they start looking at other things, like Transforming Corp core applications. Today we have core creating applications, scored insurance application score, banking applications that are running running on the cloud. And then they start looking and innovation. You know, how do we look at artificial intelligence? How do we look at machine learning? How do we look at the new technologies to really transform our business and one of the great use case? And we thought so. You know, a lot off insurance companies Liberty Mutual using Lexx as part of their there was a conversational agent for their customers. But one of the interesting examples I have is it's ah, it's a reinsurer in Denmark, Italy insurer in Denmark, and what they're doing is they're using image recognition from from Amazon to look at on accident in the field and then analyzing that, using the using our recognition service to see what that that actual damages and what the cost is and feeding that information to the underwriter really compressing the time that it takes two from a clean filing to processing and payment to a matter of a few few few hours on getting that payment to the to the customer. So really creating a very positive customer experience. >>So it speaking of customer experiences, what have you know? You said you thought you were in service to your shareholders. What have been some of the results that you've seen? >>So you have to look across the organization, right? So our advisers served the need on the retail side, so we were like a bee to be business, right? So we have to be cognizant of what's going on in their world. They're sitting down with clients and talking through the choices, and they have certain needs what they need to fulfill their obligations. They need to explain why they're doing what they're doing. If Putnam knows where each of the advisers are at in their journey with their clients, we can be more helpful to them in explaining why our funds are behaving the way they are right, that information can be had at the right time at the right moment when they need it. Need it, And that brings advisers closer to our our teams are retail distribution teams are marketing teams are investment teams are investment professionals, are using data and analytics to get information to. We're using technology to get information to them faster, so companies are doing releases. There's a ton of information out there these days. We're using technology to dig deeper into the press releases as well as the SEC filings, looking at the footnotes, really trying to understand what they're trying to say, what they said before and what are analysts should be focused on. And we can take a 70 page document, condense it to seven pages and pinpoint what the technology tools say's are really insights. And the analysts will take the time and read the whole thing. But they'll also look at the insides and they'll add it into their process. So technology's additive to the investment process and really making a change help and then that's helping Dr performance. So at the end of the day, we're living good performance on our funds through data analytics technology, you know, give you another example. Some off the were were very strong in the in the mortgage analytics business and on the fixed income side. Our team's very well known. They've been together for many, many years now. They're starting to use data at scale, and we found that being able to go to the cloud to do these analytics right in hours instead of days has really made a material difference in the number of iterations we can run. So now the questions are, when we do risk management, can we do that a little differently and run more reiterations and get more accuracy? So we're seeing all of that benefit. That's direct user experience, that people are seeing people seeing how technology is helping them do a better job with their thesis. >>Excellent. Thank you so much for coming on. The Cube seem ed knitting and shale. A pleasure having you on. >>Thank you for being here. >>I'm Rebecca night. Stay tuned for more of the cubes. Live coverage of the Ex Center Executive Summit coming up in just a little bit

Published Date : Dec 9 2019

SUMMARY :

It's the Q covering He is the chief information officer at Putnam based So thank you so much for coming on the show. So even as we launch digital transformation, We really need to be in tune with where Putnam amidst this tremendous change, and how do you sit down with the client But there's a lot of change happening at an industry we had in the cycle Where you What is really required is you need something up So it's, you know, we are in this with them for for the they'll be more amenable to put you on their roster as well. It's about the value that we can bring. So this is where we want to learn about the two pizza teams and how you can do things faster. the question you need to ask your surgeon is how many times have you done this surgery? So we put them all together and we bring Bring that Fourth Putnam is How are rebuilding the so called you guys So if you can make it easy for people, for example, A is a more productive implement. So we want to learn how to deliver the right tools, the right products to make are the what is the corporate mind set when it comes to this kind of change? So you know, when we look across our financial service is customer base across banking, a matter of a few few few hours on getting that payment to the to So it speaking of customer experiences, what have you know? So at the end of the day, we're living good performance on our funds Thank you so much for coming on. Live coverage of the Ex Center Executive Summit coming up in

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Shail Jain, Accenture and Ken Schwartz, Healthfirst and Dan Sheeran, AWS | Accenture Exe


 

>>Locke from Las Vegas. It's the cube covering KWS executive sub brought to you by extension. >>Welcome back everyone to the cubes live coverage of the Accenture executive summit here at AWS reinvent. I'm your host, Rebecca Knight. We have three guests for this segment. We have Dan Sheeran, the director of global accounts at AWS. Thank you so much for coming on the show. We have Ken Schwartz, vice president, enterprise analytics at health first. Welcome Ken and shale Jane lead data business group in North America. Accenture. Thank you so much. I am glad to have you all here. Good to be here. Yes. So we're talking today about driving digital transformation via data and analytics. I'm going to start with, you can tell us our viewers a little bit about health first as a business. >>Sure. Health first is the largest not-for-profit health plan in New York city. It's a 26 year old company. It's owned by 15 sponsor hospitals. So the business model is a little different than most health plans. The sponsor hospitals who own us, we actually share risk with the sponsor hospitals. So if our members obtain their medical services at sponsor hospitals, we have the same goal of keeping them out of the hospital essentially. And we, the revenue stays within the health healthcare delivery system. So it's a little bit different business model. We've been very successful. We're very local plan, so we have a big footprint in the communities, the very diverse communities in New York city. We're kind of part of the fabric of New York city and that's really very much part of our brand. >>So your patient population is mostly, I mean who, who, who are cuckoo prizes? >>1.4 million members, 1.4 million people mostly in New York city. So we like to say if you ride the subway in New York city, it's very likely that one in eight people are health first members, a one in three if you're in the Bronx, mostly underserved populations in a lot of cases. And people that really, like I said, sort of the, the real fabric of communities in the city. >>So what were the reasons that health works? Health first embarked on this data transformation. >>Really just again, a 26 year old company kind of outgrowing its infrastructure and really wanting to make sure that we can keep up with growth. We've been lucky to grow steadily over our entire history and at a certain point in time the legacy systems and legacy data systems don't support the new ways to do things. Prescriptive, predictive analytics, some of the great new capabilities that you can do in the cloud. So it became really important to get off the legacy hardware, get off the legacy approaches and big people change management to make that happen. I mean that's kind of what we've been living for about the last three years. >>So what were some of the goals? >>The goals are just to be able to do things at scale for in the legacy systems. I think we really didn't support analytics across our entire membership and our entire 30 million claims a year. 1.4 million members, 37,000 providers. So just being able initially just being able to query and do sort of business intelligence at scale across that, that much data, the old infrastructure just didn't support it from there. We've gone into launching our data science platform and things like that. So like I said, just, just being able to keep up with the times and provide more information, get to know everything we can possibly know about our members so that we can reach out to them in better and more effective ways. >>So shale, I want to bring you in here a little bit. How was, how did Accenture partner with health first and helping it achieve this goal? >>Yeah, so, um, we work with companies like health verse all the time and you almost have to embark on a journey that starts with a concept, almost the imagination, if you will. And then you take it into a test mode, the pilot mode in the scale up mode. And we were fortunate enough to actually to be involved in, in the journey that health first has had all throughout that, those stages, if you will. Um, and it's been, it's been a very rewarding experience because health first is one of those companies that actually took a very early lead on moving to the cloud, moving to the new data architectures and actually trying new technologies such as we recently finished a, uh, a knowledge graph project with them as well, which is relatively new in this space. So it's been a rewarding experience for us as well. >>So what are kind of, what are some of the challenges that you faced along this journey? Organization of lead technically and how did you overcome them? >>I think early on it's, it's whole new roles and new new technical paths that just didn't exist at the company. So Accenture being partner, good support from AWS really helped us. So we didn't have machine learning engineers and data engineers and cloud practitioners. So you don't grow that overnight. So having professionals come on graph as well. We oftentimes you start off with the use case and you have somebody just download things and get going. Right. And that's great, but that doesn't really land it. So getting professionals who have done things in the new environments on board to help us out was, was really key in the challenges side. I really think the people change management can be really hard. Again, if you're a sort of a brand new company or startup and you're just, you have to do your business on the cloud and it's dependent on that from day one. >>It's a lot different than we have a lot of people. Our company has been successful for 26 years. We have to look to the future to make these changes, but we've been doing pretty well sort of on our legacy platforms and things like that. So it's not always easy to just get people to change streams and say like, Hey, you really should be be doing this differently. So I think the people change management realizing you have to kind of sometimes lead with use cases, lead with pilots, lead people by the hands to get from point a to point B was kind of surprising. But we've, we've learned that that's true. >>So Dan, he you had a nice shout out from Ken here by giving you some prompts buddy in the U S and what you bring to the value you bring to the table. What do you, what do you make of what he said about the people change and how that is in a lot of ways the hardest >>couldn't agree more. In fact, that was the first point that Andy Jesse led off with this morning in his keynote that it's any of these projects, if you don't start with leadership that is both committed to the change and coordinated among themselves, then you've got no chance of success. Now that's, that's a necessary condition. It's not sufficient. You do need to drive that change through the organization and this, the scenario that Ken described is very common in what we see in that you start with enthusiasts typically that will, we often call builders who are going to be at a department who are playing around with tools because one of the advantages of course of AWS is it's all self-serve. You can get started very easily create your own account. But it is tricky to make sure that before that gets too far along that an enterprise wide architecture and strategy is agreed upon or else you can get sort of half pregnant with an approach that really is not going to serve the longterm objectives. And that's the reason why working with Accenture, getting the reference architecture for a data Lake really agreed on early on in this project was essential and that's what allowed once that foundation was in place. All these other benefits to accrue pretty quickly. >>So on a project like this, how closely are you all working together in teams to get the job done? I mean, and what is the collaboration, what is the process and what does it look like? >>Well, you know, I'm sure that each of us is going to have an answer to that, but our perspective on that at AWS is to always be customer led. We have some customers who themselves want to use a journey like this to become a builder organization. And one of their strategic objectives is that their developers are the ones who are really at the controls longterm building out a lot of new features. We have other customers who really want to be principally buyers. They'll have some enthusiasts here and there in their organization, but they really want to principally define the objectives, participate in the architecture, but then really lean on somebody like an Accenture to implement it >>and to also stand behind it afterwards. So in this case, Accenture played a central role, but we really think that the very first meeting needs to be sit down and listen to what the customer wants. Yeah. I'd say we're builders but with guidance that against them we want people who have, who have hit their heads on things and kind of learn from that and that's, that can be a force multiplier instead of having, and we definitely jumped into use cases that we wanted to just build. Like I said in a year later, we're a little bit spinning our wheels. It's not really hurting anything cause it's not necessarily anything anybody else's for anyway is standing up a graph database. It's just something we wanted to do. Right. So having these guys come in as force multiplier has been really useful. So we reach out to AWS, have really good support from AWS when we need it. AWS also has great online training, the loft in lower Manhattan or in Soho we go to things as well so we can help ourselves. And the next venture is just really been embedded with us too. We have seven or eight data engineers that have really walked pretty much every mile with us so far on this journey. So >>yeah, the only thing I would, I would add to it is that, you know, we have a very strong relationship with AWS and as such we become privy to a lot of the things that are coming down the pike, if you will. So that can add value. At the same time, we have very good access to some of the top technologists within AWS as well, so we can bring that to bear so that that all kind of works really well together. Having a partnership with AWS and then with our, we have different parts of the organization. They can also bring not just the technology skills but also domain skills as well. So we can add to some of the thinking behind the use cases as well. So that's another part of the collaboration that happens including in the security model. Right. And if we don't have that right from the beginning, then very true. Nothing else becomes possible. And there's a lot of domain expertise within Accenture. It helps us scale. >>One of the things that we, that I've heard a lot today at the Accenture executive summit is this idea of thinking differently about failure. And this is an idea that's in Silicon Valley, failed, fail better, fail happier, fail up all these things. Fail fast. Exactly. But all of them do. How do you, how but how does a co does a nonprofit in New York city, how does it embrace that? I mean, as we've talked about a lot here just now is the people are, are the hardest part that then that's a really different mindset in a really big change for an organization like health first. >>But the, the, the business model of working with AWS to is pay as you go and everything. It's like failing cheapest, very possible. You know, we're not putting out huge upfront costs to turn something on. We can turn it on for pennies sometimes and do a use case. So it really does support experimentation. We've been, one of our successes I think is we really just try a lot of things. So we've, we've had to learn how to do that and learn how to sort of either pull in more experienced people to help us or just just cut it off kind of in some cases. So yeah, the cloud patterns and AWS is business model just makes it really easy. >>And it's also key of course, to have some quick wins that are highly visible. So to my understanding that in the case of health first there was, you know, whether it's reimbursement claims or there's potential fraud that can be detected, that is a lot easier to start doing once you got your data into a common data Lake and you've got world-class analytics tools that are available directly to the business analysts. Instead of requiring lots of hand holding and passing datasets around, when you get those initial quick wins that builds the kind of enthusiasm that allows you to then take this from being a project that people are skeptical about to people really seeing the value >>and people get excited about it too. So talk about some of the benefits that your members have seen from this. >>Sure. So again, we have 1.4 million members. So just something pretty simple. Every health plan wants to prevent readmissions. So someone's been in the hospital and then they have to go right back with the same condition. That's bad for the member or bad for the plan. Bad for everybody, right? So just just being able to take a data science model on our own data, train it up for predicting readmissions. Again, we have large care management community. Many nurses go out in the field every day and meet members, but now that we can give them a list of the 500 most important members and it's also self-service, it's, it's in a dashboard that's running in red shift and people can go and just get their lists. I mean that's really profoundly satisfying and important to change our members health outcomes. You know, that's only one example. That was kind of the first model we've built, but we have models for people being adherent to their medication. Just a lot of things that we can do. Targeted interventions instead of kind of having a bunch of business rules. Kind of in your head of who you think you should reach out to. This is the data's telling us who's most at risk and sometimes empowering the call center personnel >>when you can give them access to data that allows them to really personalize that, that phone call experience with somebody. It's a, it's a relatively low cost way to surprise and delight the patient or the health plan member. And that then drives customer satisfaction scores, which are very important in the healthcare industry for all sorts of reasons related to accreditation are related to reimbursement. And also frankly just related to enrollment and retention. >>I speak from experience when I say the best, the companies are the ones with the good call centers that you just are happy and you get off the phone, you don't want to slam it down, you're, you're happy to talk to them. So final pieces of advice for companies that are, that are trying to drive change through data analytics. What, what is a best practice? Best piece of advice? Well, because you looked at me, I'll let you go first. >>Um, we always, it sounds obvious, but it's surprisingly often not the case. Once you get past the initial five minutes of a conversation, really stress are we actually focused on a real problem as opposed to something that sounds cool or fun to go experiment with. Because these tools, as Ken said, these are, it's fun to play with these self-service AI tools. You can predict all sorts of things. Isn't an actual pain point for either an internal customer or an external customer. >>Yeah, I think you hit it on the head as well. That's advice to starting this as get, get some wins, get some early wins and then don't be afraid to experiment and don't be afraid to think outside the box. I think I would say there are two pieces of advice. One is focused on strategy like Dan was talking about before, because with tools like AWS where you can literally use your credit card to get started, you can lose sight of the big picture. So have a data strategy that is directly tied to your business strategy is very important. And the second is instead of thinking about building a data pipeline for a specific use case, think about building a platform, a data platform that can serve the need of today and tomorrow as well in a, in an architecture that is, that is fit for purpose architecture like Andy Jesse talked about today. So don't go for a Swiss army knife approach. Go for fit for purpose platforms, products, models, if you will, that can allow you to build that platform that can serve the need of the future as well. >>Excellent. Thank you so much shale. Ken and Dan, thanks for coming on the cube. Thank you. Thanks. Thank you. I'm Rebecca Knight. Stay tuned for more of the cubes live coverage of the Accenture executive summit.

Published Date : Dec 4 2019

SUMMARY :

executive sub brought to you by extension. I am glad to have you all here. So the business model is a So we like to say if you ride the subway in New York city, it's very likely that one in eight people are health first So what were the reasons that health works? So it became really important to get off the legacy So just being able initially just being able to query and do sort of business So shale, I want to bring you in here a little bit. almost the imagination, if you will. the new environments on board to help us out was, was really key in lead people by the hands to get from point a to point B was kind of surprising. bring to the value you bring to the table. in his keynote that it's any of these projects, if you don't start with leadership participate in the architecture, but then really lean on somebody like an Accenture to the loft in lower Manhattan or in Soho we go to things as well so lot of the things that are coming down the pike, if you will. One of the things that we, that I've heard a lot today at the Accenture executive summit is this idea of to is pay as you go and everything. that in the case of health first there was, you know, whether it's reimbursement claims or So talk about some of the benefits that your members have seen So someone's been in the hospital and then they have to go right back with the same condition. in the healthcare industry for all sorts of reasons related to accreditation are related that you just are happy and you get off the phone, you don't want to slam it down, you're, you're happy to talk to them. but it's surprisingly often not the case. So have a data strategy that is directly tied to your Ken and Dan, thanks for coming on the cube.

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Ankur Jain, Merkle & Rafael Mejia, AAA Life | AWS re:Invent 2019


 

>>LA from Las Vegas. It's the cube covering AWS reinvent 2019 brought to you by Amazon web services and along with its ecosystem partners. >>Welcome back to the queue from Las Vegas. We are live at AWS reinvent 19 Lisa Martin with John furrier. We've been having lots of great conversations. John, we're about to have another one cause we always love to talk about customer proof in the putting. Please welcome a couple of guests. We have Rafael, director of analytics and data management from triple a life. Welcome. Thanks for having me. Really appreciate it. Our pleasure. And from Burkle anchor Jane, the SVP of cloud platforms. Welcome. Thank you. Thank you so much. Pleasure to be here. So here we are in this, I can't see of people around us as, as growing exponential a by the hour here, but awkward. Let's start with you give her audience an understanding of Merkel, who you are and what you do. >>Yeah, absolutely. So Marco is a global performance marketing agency. We are part of a dental agent network and a, it's almost about 9,000 to 10,000 people worldwide. It's a global agency. What differentiates Merkel from rest of the other marketing agencies is our deep roots and data driven approach. We embrace technology. It's embedded in all our, all our solutions that we take to market. Um, and that's what we pride ourselves with. So, um, that's basically a high level pitch about Merkel. What differentiates us, my role, uh, I lead the cloud transformation for Merkel. Um, uh, basically think of my team as the think tanks who bring in the new technology, come up with a new way of rolling out solutions product I solutions, uh, disruptive solutions, which helps our clients and big fortune brands such as triple life insurance, uh, to transform their marketing ecosystem. >>So let's go ahead and dig. A lot of folks probably know AAA life, but, but Raphael, give us a little bit of an overview. This is a 50 year old organization. >>So we celebrate our 50th 50 year anniversary this year. Actually, we're founded in 1969. So everybody life insurance, we endeavor to be the provider of choice for a AAA member. Tell them to protect what matters most to them. And we offer a diverse set of insurance products across just about every channel. Um, and um, we engage with Merkel, uh, earlier, the, um, in 2018 actually to, to, uh, to build a nice solution that allows us to even better serve the needs of the members. Uh, my role, I am the, I lead our analytics and data management work. So helping us collect data and manage better and better leverage it to support the needs of members. >>So a trip, I can't even imagine the volumes of data that you're dealing with, but it's also, this is people's data, right? This is about insurance, life insurance, the volume of it. How have you, what were some of the things that you said? All right guys, we need to change how we're managing the data because we know there's probably a lot more business value, maybe new services that we can get our on it or eyes >>on it. >>So, so that was, that was it. So as an organization, uh, I want to underscore what you said. We make no compromises when it comes to the safety of our, of our members data. And we take every step possible to ensure that it is managed in a responsible and safe way. But we knew that on, on the platform that we had prior to this, we weren't, we weren't as italics. We wanted to be. We would find that threaten processes would take spans of weeks in order to operate or to run. And that just didn't allow us to provide the member experience that we wanted. So we built this new solution and this solution updates every day, right? There's no longer multi-week cycle times and tumbler processes happen in real time, which allows us to go to market with more accurate and more responsive programs to our members. >>Can you guys talk about the Amazon and AWS solution? How you guys using Amazon's at red shift? Can he says, you guys losing multiple databases, give us a peek into the Amazon services that you guys are taking advantage of that anchor. >>Yeah, please. Um, so basically when we were approached by AAA life to kind of come in and you know, present ourselves our credentials, one thing that differentiated there in that solution page was uh, bringing Amazon to the forefront because cloud, you know, one of the issue that Ravel and his team were facing were scalability aspect. You know, the performance was, was not up to the par, I believe you guys were um, on a two week cycle. That data was a definition every two weeks. And how can we turn that around and know can only be possible to, in our disruptive technologies that Amazon brings to the forefront. So what we built was basically it's a complete Amazon based cloud native architecture. Uh, we leveraged AWS with our chip as the data warehouse platform to integrate basically billions and billions of rows from a hundred plus sources that we are bringing in on a daily basis. >>In fact, actually some of the sources are the fresh on a real time basis. We are catching real time interactions of users on the website and then letting Kimberly the life make real time decisions on how we actually personalize their experience. So AWS, Redshift, you know, definitely the center's centerpiece. Then we are also leveraging a cloud native ELT technology extract load and transform technology called. It's a third party tool, but again, a very cloud native technology. So the whole solution leverage is Python to some extent. And then our veil can talk about AI and machine learning that how they are leveraging AWS ecosystem there. >>Yeah. So that was um, so, uh, I anchor said it right. One thing that differentiated Merkel was that cloud first approach, right? Uh, we looked at it what a, all of the analysts were saying. We went to all the key vendors in this space. We saw the, we saw the architecture is, and when Merkel walked in and presented that, um, that AWS architecture, it was great for me because if nausea immediately made sense, there was no wizardry around, I hope this database scales. I was confident that Redshift and Lambda and dynamo would this go to our use cases. So it became a lot more about are we solving the right business problem and less about do we have the right technologies. So in addition to what Ankur mentioned, we're leveraging our sort of living RNR studio, um, in AWS as well as top low frat for our machine learning models and for business intelligence. >>And more recently we've started transition from R to a Python as a practitioner on the keynote today. Slew a new thing, Sage maker studio, an IDE for machine learning framework. I mean this is like a common set. Like finally, I couldn't have been more excited right? That, that was my Superbowl moment. Um, I was, I was as I was, we were actually at dinner yesterday and I was mentioning Tonker, this is my wishlist, right? I want AWS to make a greater investment in that end user data scientists experience in auto ML and they knocked it out of the park. Everything they announced today, I was just, I was texting frat. Wow, this is amazing. I can't wait to go home. There's a lot of nuances to, and a lot of these announcements, auto ML for instance. Yeah. Really big deal the way they did it. >>And again, the ID who would've thought, I mean this is duh, why didn't we think about this sooner? Yeah. With auto ML that that focus on transparency. Right. And then I think about a year ago we went to market and we ended up not choosing any solutions because they hadn't solved for once you've got a model built, how do you effectively migrated from let's say an analyst who might not have the, the ML expertise to a data science team and the fact that AWS understood out of the gate that you need that transparent all for it. I'm really excited for that. What do you think the impacts are going to be more uptake on the data science side? What do you think the impact of this and the, so I think for, I think we're going to see, um, that a lot of our use cases are going to part a lot less effort to spin up. >>So we're going to see much more, much faster pilots. We're going to have a much clearer sense of is this worth it? Is this something we should continue to invest in and to me we should drive and I expect that a lot, much larger percentage of my team, the analysts are going to be involved in data and data science and machine learning. So I'm really excited about that. And also the ability to inquire, to integrate best practices into what we're doing out of the gate. Right? So software engineers figured out profiling, they figured out the bugging and these are things that machine learners are picking up. Now the fact that you're front and center is really excited. Superbowl moment. You can be like the new England Patriots, 17 straight AFC championship games. Boston. Gosh, I could resist. Uh, they're all Seattle. They're all Seattle here and Amazon. I don't even bring Seattle Patriots up here and Amazon, >>we are the ESPN of tech news that we have to get in as far as conversation. But I want to kind of talk a little bit, Raphael about the transformation because presumably in, in every industry, especially in insurance, there are so many born in the cloud companies that are a lot, they're a lot more agile and they are chasing what AAA life and your competitors and your peers are doing. What your S establishing with the help of anchor and Merkel, how does this allow you to actually take the data that you had, expand it, but also extract insights from maybe competitive advantages that you couldn't think about before? >>Yeah, so I think, uh, so as an organization, even though we're 50 years old, one of the things that drew me to the company and it's really exciting is it's unrelated to thrusting on its laurels, right? I think there's tremendous hunger and appetite within our executive group to better serve our members and to serve more members. And what this technology is allowed is the technology is not a limiting factor. It's an enabling factors. We're able to produce more models, more performant models, process more of IO data, build more features. Um, we've managed to do away with a lot of the, you know, if you take it and you look at it this way and squeeze it and maybe it'll work and systematize more aspects of our reporting and our campaign development and our model development and the observability, the visibility of just the ability to be agile and have our data be a partner to what we're trying to accomplish. That's been really great. >>You talked about the significant reduction in cycle times. If we go back up to the executive suite from a business differentiation perspective, is the senior leadership at AAA understanding what this cloud infrastructure is going to enable their business to achieve? >>Absolutely. So, so our successes here I think have been instrumental in encouraging our organization to continue to invest in cloud. And uh, we're an active, we're actively considering and discussing additional cloud initiatives, especially around the areas of machine learning and AI. >>And the auger question for you in terms of, of your expertise, in your experience as we look at how cloud is changing, John, you know, educate us on cloud cloud, Tuto, AI machine learning. What are, as, as these, as businesses, as industries have the opportunity to for next gen cloud, what are some of the next industries that you think are really prime to be completely transformed? >>Um, I'm in that are so many different business models. If you look around, one thing I would like to actually touch upon what we are seeing from Merkel standpoint is the digital transformation and how customers in today's world they are, you know, how brands are engaging with their customers and how customers are engaging with the brands. Especially that expectations customer is at the center stage here they are the ones who are driving the whole customer engagement journey, right? How all I am browsing a catalog of a particular brand on my cell phone and then I actually purchased right then and there and if I have an issue I can call them or I can go to social media and log a complaint. So that's whole multi channel, you know, aspect of this marketing ecosystem these days. I think cloud is the platform which is enabling that, right? >>This cannot happen without cloud. I'm going to look at, Raphael was just describing, you know, real time interaction, real time understanding the behavior of the customer in real time and engaging with them based on their need at that point of time. If you have technologies like Sage maker, if you have technologies like AWS Redship you have technologies like glue, Kinesis, which lets you bring in data from all these disparate sources and give you the ability to derive some insights from that data in that particular moment and then interact with the customer right then and there. That's exactly what we are talking about. And this can only happen through cloud so, so that's my 2 cents are where they are, what we from Merkel standpoint, we are looking into the market. That's what we are helping our brands through to >>client. I completely agree. I think that the change from capital and operation, right to no longer house to know these are all the sources and all the use cases and everything that needs to happen before you start the project and the ability to say, Hey, let's get going. Let's deliver value in the way that we've had and continue to have conversations and deliver new features, new stores, a new functionality, and at the same time, having AWS as a partner who's, who's building an incremental value. I think just last week I was really excited with the changes they've made to integrate Sage maker with their databases so you can score from the directly from the database. So it feels like all these things were coming together to allow us as a company to better off on push our aims and exciting time. >>It is exciting. Well guys, I wish we had more time, but we are out of time. Thank you Raphael and anchor for sharing with Merkel and AAA. Pleasure. All right. Take care. Or John furrier. I am Lisa Martin and you're watching the cube from Vegas re-invent 19 we'll be right back.

Published Date : Dec 3 2019

SUMMARY :

AWS reinvent 2019 brought to you by Amazon web services So here we are It's embedded in all our, all our solutions that we take to market. So let's go ahead and dig. Um, and um, we engage with Merkel, the data because we know there's probably a lot more business value, maybe new services that we can So as an organization, uh, I want to underscore what Amazon services that you guys are taking advantage of that anchor. You know, the performance was, was not up to the par, I believe you guys were um, So AWS, Redshift, you know, So in addition to what Ankur mentioned, on the keynote today. and the fact that AWS understood out of the gate that you need that transparent all for it. And also the ability to inquire, the help of anchor and Merkel, how does this allow you to actually take the Um, we've managed to do away with a lot of the, you know, if you take it and you look at it this way and squeeze You talked about the significant reduction in cycle times. our organization to continue to invest in cloud. And the auger question for you in terms of, of your expertise, in your experience as we look at how cloud So that's whole multi channel, you know, disparate sources and give you the ability to derive some insights from that data that needs to happen before you start the project and the ability to say, Hey, Thank you Raphael and anchor for sharing with Merkel

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Prem Jain, Pensando Systems | Welcome to the New Edge 2019


 

>>From New York city. It's the cube covering. Welcome to the new edge brought to you by systems. >>Okay, we'll come back. You're ready. Jeff Frick here with the cube. We're in downtown Manhattan at the top of Goldman Sachs, like 43 stories above the Hudson. It was a really beautiful view a couple hours ago, but the cloud has moved in and that's only appropriate cause it's cloud is a big theme of why we're here today. We're here for the Penn Zando event. It's called welcome to the new edge. They just come out of stealth mode after two and a half years, almost three years, raised a ton of money, got a really rockstar team and we're excited to have the CEO with us today to tell us a little bit about more what's going on. And that's prem Jane and again, the CEO of Penn Sandow prem. Great to see you. Nice to see you too. So everything we did running up to this event before we could get any of the news, we, we, we tried to figure out what was going on and all it kept coming up was NPLS, NPLS, NPLS, which I thought was a technology, which it is, but it's really about the team. Tell us a little bit about the team in which you guys have built prior and, and why you're such a, a well functioning and kind of forward thinking group of people. >>So I think the team is working together. Mario Luca, myself and Sony were working together since 1983 except for Sony. Sony joined us after the first company, which has crescendo, got acquired by Cisco in 1993 and since then four of us are working together. Uh, we have done many, uh, spinnings inside the Cisco and demo was the first one. Then we did, uh, uh, Nova systems, which was the second, then we did recently in CMA. Uh, and then after we left we thought we are going to retire, but we talked about it and we says, you know, there is still transitions happening in the industry and maybe we have few more years to go back to the, you know, industry and, and do something which is very challenging and, and uh, impacting. I think everything which we have done in the past is to create a impact in the industry and make that transition which is occurring very successful, >>which is really hard to do. And, and John Chambers who, who's on the board and spoke earlier today, you know, kind of talked about these 10 year cycles of significant change in our industry and you know, Clayton Christianson innovator's dilemma, it's really easy when you are successful at one of those to kind of sit on your laurels. In fact, it's really, really hard to kill yourself and go on to the next thing you guys have done this time and time and time again. Is there a unique chemistry in the way you guys look forward or you just, you just get bored with what you built and you want to build something new. I mean, what is some of the magic, because even John said, as soon as he heard that you were the team behind it, he was like, sign me up. I don't know what they're building but I don't really care cause I know these people can deliver. >>I think it's very good the, whenever you look at any startup, the most important thing which comes up as the team and you're seeing a lot of startup fails because the team didn't work together or they got their egos into this one. Since we are working for so long, they compliment each other. That's the one thing which is very important. Mario, Luca, myself, they come from engineering backgrounds. Sony comes from marketing, sales, uh, type of background and we all lady in terms of the brain, if you think about is the Mario behind the scene, Luca is really the execution machine and I'm, you can think like as a heart, okay. Putting this thing together. Uh, as a team, we work very complimentary with each other. It does not mean that we agree on everything, right? We disagree. We argue. We basically challenge each other. But one thing good about this particular team is that once we come to a conclusion, we just focus and execute. And team is also known to work with customers all the time. I mean, even when we started Penn Sando, we talked to many customers in the very beginning. They shape up our ideas, they shape up the directions, which is we are going and what transitions are occurring in the industries and all that. That's another thing which is we take customer very seriously in our thought process of building a product. >>So when you were thinking around sitting around the table, deciding whether you guys wanted to do it again, what were the challenges that you saw? What was the kind of the feedback loop that came in that, that started this? The, uh, the gym of the idea >>thing is also is that, uh, we had, we had developed so many different products as you saw today in the launch, eight or nine, uh, billion dollar product line and stuff like that. So we all have a very good system experience what is really needed, what transitions are occurring and stuff like that. When we started this one, we were not really sure what we wanted to do it, but in the last one when we did the, uh, NCMA, we realize that the enterprise thing, which we deliver the ACI solution for the enterprise, the realize that these services was the most complex way of incorporating into that particular architectures. So right from the beginning of interview realized that the, this particular thing is nobody has touched it, nobody thought about it out of the box thinking that how can you make it into a distributed fashion, which has also realized that cloud is going, everything distributed. >>They got away from the centralized appliances. So as the enterprise is now thinking of doing it cloud-like architectures and stuff like that. And the third thing which was really triggered us also, there was a company which is a new Poona which got acquired by Amazon in 2016 and we were looking at it what kinds of things they are doing and we said we can do much better architecturally and next generation, uh, architecture, which can really enable all the other cloud vendors. Some of them are our partners to make sure they can leverage that particular technologies and build the next generation cloud. And that's where this idea of new edge came in because we also saw that the new applications like IOT is five G's and artificial intelligence, machine learning, robotics or drones, you just name it intelligent devices, which is going to get connected. What is the best place to process them is at the edge or also at the backend with the application where the server is running these and that is another edge compute edge, right? >>In that particular sense. So our idea was to develop a product so that it can cover wide segment of the market, enterprise cloud providers, service borders, but focus very narrowly delivering these services into existing architectures. Also people who are building, building the next generation architectures. Right, so it's the distributed services platform or the distributed services architecture. So at its core for people that didn't make it today, what is it? It's basically is a distributed service platforms. The foundation of that is really our custom processor, which is we have designed is highly programmable. It's software defined so that all the protocols, which is typically people hardwired in our case is programmable. It's all programs which is we are writing the language which you selected as before and before extensions. The software stack is the major differentiated thing which is running on the top of this particular processor, which is we have designed in such a way that is hardware agnostics. >>The the, the capabilities which we have built is easily integrated into the existing environment. So if people already have cloud and they want to leverage our technologies, they can really deploy it in the enterprise. We are basically replacing lot of appliances, simplifying the architectures, making sure they can enable the service as they grow model, which is really amazing because right now they had to say firewall goes here, load balancer goes here, these a VPN devices goes there. In our case it's very simple. You put in every server of our technologies and our software stack and our Venice, which is our policy manager, which is sitting outside and it's based upon Kubernete X a architectures is basically a microservices, which is we are running and managing the life cycle of this particular product family and also providing the visibility and uh, uh, accountability in terms of exactly what is going on in that particular network. >>And it's all driven by intent-based architecture, which is policy driven, right? So software defined sitting on software defined Silicon. So you get the benefits of the Silicon, but it's also programmable Silicon, but it's still, you're sitting, you've got a software stack on top of that that manages that cloud and then the form factors as small as a Nick. Yes. So he can stick it in the HP HP server. Yeah. It specifically goes into any PCI slot in any server, uh, in the industry. Yes. It's amazing. Well, first incarnation, but, but, but, but, but that's a really simple implementation, right? Just to get radiation and easy to deploy. Right. And you guys are, you're yourself where involved in security that's involved in managing the storage. It's simple low power, which I thought was a pretty interesting attribute that you defined early on. Clearly thinking about edge and these distributed, uh, things all over the place. >>They're metal programmable. And then the other thing that was talked about a lot today was the observability. Yes. Um, why observability why was that so important? What were you hearing from customers that were really leading you down that path? Yeah, it's important. Uh, you know, surprisingly enough, uh, the visibility is one of the biggest challenge. Most of the data center faces today. A lot of people tried to do multiple different things, but they're never able to do it, uh, in, in the way we are doing it. One is that we don't run anything on the host. Some people have done it right on the train running the agent on the host. Some people have tried to run virtual machines on the those particular environment. In our case there's nothing which is running on the host site. It runs on our card and having end to end that visibility we can provide latency, very accurate latency to the, to the applications which is very important for these customers. >>Also, what is really going on there is the problem in the network. Isolation is another big thing. When something get lost they don't know where it got lost. We can provide that thing. Another important thing that you're doing, which is not being done in the industries. Everything which is we are doing is flow based means if I'm talking to you, there is a flow being set up between you and me and we are monitoring every flow and one of the advantages of our processor is we have four to eight gigabytes of memory, so we can keep these States, have these flows inside, and that gives a tremendous advantage for us to do lots of things, which as you can imagine going forward, we will be delivering it such as, for example, behavior of these flows and things from this point of view, once you understand the behavior of the flow, you can also provide lot of security features because if I'm not talking to you and suddenly I start talking to you and I know that there's something went wrong, right, right. >>And they should be able to look at the behavior analysis and should be able to tell exactly what's going on. You mean we want a real time snapshot of what's really happening instead of a instead of a sample of something that happened a little. No, absolutely. You're absolutely connected. Yeah. Yeah. Um, that's terrific. So you put together to accompany and you immediately went out and talked to a whole bunch of customers. I was amazed at the number of customers and partners that you had here at the launch. Um, was that for validation? Were you testing hypotheses or, or were there some things that the customers were telling you about that maybe you weren't aware of or maybe didn't get the right priority? I think it's all of the above. What you mentioned our, it's in our DNA by the way. You know, we don't design products, we don't design things without talking to customers. >>Validation is very important that we are on the right track because you may try to solve the customer problem, which is not today's problem. Maybe future's problem. Our idea was that then you can develop the product it was set on the shelf. We don't want to do that. We wanted to make sure that, that this is the hard problem customer is facing today. At the same time looking at it, what futuristic in their architecture is understanding the customers, how, what are they doing today, how they're deploying it. The use cases are understanding those very well and making sure that we are designing. Because when we design a seeker, when your designer processor, you know, you cannot design for one year, it has to be a longterm, right? And you need to make sure that we understand the current problems, we understand the future problems and design that in pretty much your spark and you've been in this space forever. >>You're at Cisco before. And so just love to get your take on exponential growth. You know, such an interesting concept that people have a really hard time grasping exponential growth and we're seeing it clearly with data and data flows and ultimately everything's got to go through the network. I mean, when you, when you think back with a little bit of perspective at the incredible increase in the data flow and the amount of data is being stored and the distribution of these, um, applications now out to the edge and store and compute and take action at the edge, you know, what do you think about, how do you, how do you kind of stay on top of that as somebody who kind of sees the feature relatively effectively, how do you try to stay on top of exponential curves? As you know, very valuable data is very important for anybody in any business. >>Whether it's financial, whether it's healthcare, whether it's, and it's becoming even more and more important because of machine learning, artificial intelligence, which is coming in to really process this particular data and predict certain things which is going to happen, right? We wanted to be close to the data and the closest place to be data is where the application is running. That's one place clears closest to the data at the edge is where data is coming in from the IOT devices, from the 5g devices, from the, you know, you know all kinds of appliances which is being classified under IOT devices. We wanted to be, make sure that we are close to the data, doesn't matter where you deploy and we want to be agnostic. Actually our technologies and architectures designed that this boundary is between North, South, East, West is going to go away in future cloud. >>A lot of things which is being done in the backend will be become at the edge like we talked about before. So we are really a journey which is just starting in this particular detectors and you're going to see a lot more innovations coming from us continuously in this particular directions. And again, based upon the feedback which you're going to get from cloud customers with enterprise customers, but they were partners and other system ecosystem partners, which is going to give us a lot of feedback. Great. Well again, thanks for uh, for having us out and congratulations to uh, to you and the team. It must be really fun to pull the covers off. absolutely. It is very historical day for us. This is something we were waiting for two years and nine months to see this particular date, to have our customers come on the stage and talk about our technologies and why they think it's very important. Thank you very much for giving me this opportunity to talk to you. Thank you. Alright, thanks prem. Thanks. He's prem. I'm Jeff. You're watching the cube where it depends. Sandow launch at the top of Goldman Sachs in downtown Manhattan. Thanks for watching. We'll see you next time.

Published Date : Oct 18 2019

SUMMARY :

brought to you by systems. Tell us a little bit about the team in which you guys have built prior and, in the industry and make that transition which is occurring very successful, and go on to the next thing you guys have done this time and time and time again. That's the one thing which is very important. thing is also is that, uh, we had, we had developed so many different products as you saw today And the third thing which was really triggered us also, It's all programs which is we are writing the language which you the service as they grow model, which is really amazing because right now they had to say It's simple low power, which I thought was a pretty interesting attribute that you defined to the applications which is very important for these customers. advantage for us to do lots of things, which as you can imagine I was amazed at the number of customers and partners that you had here Validation is very important that we are on the right track because you may try to solve the customer and take action at the edge, you know, what do you think about, We wanted to be, make sure that we are close to the data, doesn't matter where you deploy and we want to be agnostic. So we are really a journey which is just starting in this particular detectors

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Scott Helmer, IFS & Nick Ward, Rolls Royce | IFS World 2019


 

>>live from Boston, Massachusetts. It's the Q covering I. F s World Conference 2019. Brought to you by I. F s. >>Welcome back to I f s world Everybody, This is David Dante with Paul Dillon and you're watching the Cube, The leader in live tech coverage. Where here from? From the Heinz Auditorium. Nick Ward is here. He's the head of OM Digital Solutions for Rolls Royce and Scott Helmer, president of the F S aerospace and defense. Gentlemen, welcome to the Cube. Thanks for coming on. Thank you. Scott. I want to start with you. We heard a lot about digital transformation. You guys are in the heart of that. Ah, defense. Aerospace is one of those industries that hasn't been dramatically disrupted. Like publishing. Are you seeing taxis? It's a It's a high risk business. It's one that's highly in trench, but it's not safe from disruption. What are the major trends that you're seeing in your space and paint a picture for us? If you would, >>uh, that's a very good question. You're right. The same level of disruption related digital transformation has not yet common aerospace. Defense is that has come to some of the other league leading industries. But this is a whether it's land based operations, naval operations or aircraft operations. This is an asset intensive industry. It's characterized by a very connected network of organizations. Be the manufacturer's operators, subsystem, part suppliers or just maintainers. They stay connected throughout the asset life cycle in its entirety. I f F f s has a portfolio capability. There's four purpose underpinning the critical business processes of those organizations that enables us to be the digital thread to continue the connection of those organizations throughout that outs of life cycle, if you will, that sees this fall come to come to be at the heart of asset lifecycle Management on provides us with the opportunity to inform information insights for our customers. Like return on experience data on aircraft engines where an old GM like Rolls Royce, for example, can harvest that data to analyze the performance of those assets and ultimately optimized thereafter after service offerings. >>Who are the customers? I mean, there's a limited number of companies that make aircraft engines so you don't have a huge domain been numbers of those kinds of companies. But are the customers channel their partners the supply chain network >>Well, the ecosystem is actually large and extensive. They're very recognizable names, and it's certainly an industry that's characterized by significant growth. On the commercial side. Amaro continue is in the midst of a boom and is likely to continue to grow, are expected to continue to grow for at least another decorate decade. And on the defense side, we see military budgets continue or increasingly moving towards sustainment and serve it ization on a performance basis. So the number of organizations that are participating in that value chain whether they're just the upstream, only am so I should just upstream. But the Austrian Williams participate in the design and development are moving into the aftermarket sustainment and service support parts and subsystem supply, or ultimately, third part repair organizations. It's actually quite an extensive network participating in that asset life cycle. >>So, Nick, you know people here Rolls Royce, they think you know the iconic brand. We're gonna talk about cars, talk about your role at Rolls Royce and what's going on in your business. >>So my role I lead our product management function looking are digitally enabled. Service's so for 20 years we've been running a service we call total care. Total care is like a fixed dollar rate. Every time an aircraft flies, we paid a dollar rate for it. Flying. What's really great about that is we're incentivizing. No, I am exactly the same way that airline isn't said device. Keep the aircraft flying. It owns revenue for the airline. It owns revenue for us on that revolutionized relationship between oh am on operator. So within my role, it's about taking four division we call The Intelligent Engine. Intelligent Engine is recognizing the way that digital is starting to pervade the way we think about service is so we've talked about physical engine, big rotating piece of metal that people see service. Is that wrap around that on the digital brain that sits behind all of those sources? That's what we call the intelligent engine. >>Yes, so people sometimes think the mission critic critical piece of air travel is the reservation system. It's not. It's the thinness of the engines available that was lost in critical system, right? You mean like it? If you don't get your reservation Oh, well, somebody else will get it. Not not the end of the world But for the maintenance piece, that's all right. >>Job. You know, our fundamental mission is every rose was powered. Aircraft flies on time every time. All right, there's no disruption. There's no delay that works for the operator, for the airlines are owner of the aircraft. It works for us. And this is why the confluence of our incentives comes together and it really works well. >>So what role has technology played in terms of evolving that that experience? I mean, I'm sure, you know, years ago, it used to be a lot of tribal knowledge. Gut feel. Joe the mechanic really knew his stuff. Etcetera, etcetera, Powers. Technology evolved and changed your your business. >>So you had to go back to the business model, right? So technology should follow. The business model business model is fundamental risk transfer. So we take the risk off cost, fluctuation, availability, whatever it is away from the airline and we take it on to us is the Obama's Rolls Royce said the money's at risk. You gotta get really good forecasting. Four. Custom becomes your core skill almost because you've got to understand all the risk drivers understand how to optimize him, understand out of work around that in order to have a successful business. And you can't forecast without data without digital twins without all I ot and cloud and all the while the enablers allow you to sort of new to new generations of capability. >>So you're forecasting what probability of, ah, component failure, the life of ah, failure. How long it takes to bring stuff back on sure >>cost really on three different levels. So we do an engine forecast which is looking at the health of the life of the components in the engine, looking for any reasons why the engine might be forced off the wing. We're looking at a fleet level. So we're looking at all of the things that might affect the global fleet in terms of maintenance demands need for overhaul of those such things. And we forecast that out after 30 years, really accurately, as an engine leaves the factory, we know pretty much within 90 something percent everything that engine is going to require from the maintenance 20 to 30 years and then a network level. We're forecasting the capacity demand that we then need to meet within our maintenance shops globally. >>Well, He's obviously Paul. Been progress, right? We used to fly with very common four engine plains across the pond right now. Two engines. In fact, you don't want to fly in the four engine to engine more reliable. >>You've You've been a Rolls Royce for over 15 years. What have you seen as a result of all this technology is predicted maintenance technology. What impact is that? Had on equipment of reliability on life cycle on fuel efficiency. >>Huge, huge. I think if you don't have the data and you don't have the digital twin kind of capability behind you, you have to treat every engine like it's the worst engine in the fleet because you don't have the data tell you it isn't right. So everything is treated extremely extreme conservatism. If you have the data and you have the models and you have everything else around you, you treat engines, individuals. They have individual histories, individual configuration, individual experiences. Because of individuals. You tailor your maintenance intervention to keep that engine flying as long as you can on, you don't have to be his conservative. You can weed that conservatism out of the process, and that means it stays on wing 40 50% longer. It's flying for the airline that much longer. Revenues. Passengers are flying. There's less disruption. >>So what do you What do you do with my f s? What's the what's >>So Because we created this intelligent engine kind of next generation leap forward in that capability, we need data. So we have, ah, program we call the Blue Data Threat. The blue data traded in a global initiative that we're rolling through all of our 200 plus airline customers. How do we form a win win transaction with the airlines? Give us better data will make smarter decisions. You'll see less disruption, more availability. We'll share our data. Back with you is an operator. So this is a very simple, very nice cashless transactions. So with my intern X, because we share a number of customers, Scott has got a number of airline customers. Big airline customers were operating the maintenance system. What way do together? Is reform a plug in? It's like for us. We can go to an airline, and we can say you have total care inside to borrow an intel phrase. So he complied into the rosary service is seamlessly automated. The data can flow very little burden or effort on to the I t group of the outline. The data flows into our organization. We do what we do when we can push our date again back into the airline systems with updated form, their availability >>so key to that key to that value, Jane is obviously that common customer base. But critical to the work that Rolls Royce stuns does is the accuracy and reliability of the data They get to inform their own performance analysis and maintenance, availability information and the eye if it's made installed. Base leverage is a very rich data from the return on experience of the engine utilization that Nick and is able to use this part of the Blue data threat offering back to their customers. And together we're able to deliver unprecedented levels of value to airline customers and optimizing the availability of their assets. >>Nick, have you? Are you finding new ways to monetize this data beyond just improving the customer experience, a bond with your customers or their new revenue avenues >>for you? So I think within this is absolutely key that everybody within this transaction recognizes this is this is not a revenue opportunity for Rosa. This is a cashless transactions because there's a lot of sensitivity that data belongs to the airline, right? So you have to be very clear and open. That data is driving Rolls Royce to make internal improvements, so we will save a little bit on our bottom line of delivering the service's they've already bought in order to get better. Outcomes of those service is so It's a little early for the service. You were thinking about >>this a little bit like security. In that sense, you know of bad guys are trying to get there. So So the good guys to share data. It's a cashless transaction, and everybody we >>believe is a market collaboration on data is got to be the way Ford's >>Scott could. You double click on the Ecosystem and A and D, obviously different from the sort of core traditional you know, e r. P world. The importance of the ecosystem may be what it looks like, described the >>That's an insightful question, Dave, certainly the partner ecosystem in inner space and defense is somewhat differentiated. I don't want to go so far as to say that it's unique, but it's somewhat differentiated from Corey RPS. As you duly noted partner, our four persecuted for four purpose capability around the critical process is for manufacturers. Maintainers on, uh, parts and subsystem supply organizations is all the potential, and it's a promise. But that value can only be realized to the collaboration with partners who doom or an aerospace and defense and just support delivery and implementation capability. They provide value added service is around business process, reengineering, change, enablement as well as their partners and co innovation as well. Certainly the collaboration we have with Rolls Royce is certainly a new level of collaboration around innovation that hasn't been seen before. So those partners are critical to our ability to deliver that value to our customers. Secondarily, we have our partners are actually a route to market in the traditional sense of referral system like you would see in Corriere P. But more importantly, as an indirect route to market as channels to their end customers, almost I s v ng. Our capability to support the delivery of service is to their customers. >>So it's the it's the manufacturers of the Plains, For example, it's the airlines themselves. It's manufactured the engine defectors, >>the maintainers. So the M R organizations that do the work around repair, and it's the entire ecosystem of organizations to support the supply chain. Our partners are both in themselves as well as partners in delivering the capability to those organizing. >>And it's a data pipeline throughout that value chain a digital thread that you guys actually have visibility on, correct your value. Add to the and >>we have the opportunity to play a vital role between within that equal system in allowing and enabling the connective ity of that network between Williams and their customers between the operators and their maintainers. For example, we've got a collaboration with an airline right now where we're going to connect them directly with the third party organizations that they rely on for airframe repair. For example, >>I want to ask you about the aerospace business it used to be that used to be a very small market in terms of the number of customers. Now we've got Space X. We've got the private areas, three private aerospace companies. We've got different countries now. India, China getting involved. What impact is that having on your business. >>Certainly we're seeing the emergence of spatial program's playing a taking up a larger share of off of government or public sector budgets. And people are beginning to think about how to leverage or harvest the value from utilization of spatial assets and again are enabling capability. To be a collector of that data and supply it back as an information in sight to those were reliant on the data that is collected is a vital role that we play in that ecosystem. >>So when I was when you were describing the ecosystem value chain, it strikes me that there's there's clearly a whole lot of metrics going on. Are there new levers, new metrics, emerging new levers that you can pull to really drive a flywheel effect in the industry? One of the key key performance indicators that you're really trying to optimize visiting? This is >>Certainly this is certainly an industry that characterizes as an intensive, complex mobile and in this case complex in mobile or a pseudonym for very expensive assets. So everything around availability, reliability are all key drivers are performance indicators of our customers ability to realise the value from those assets and our role in that is to provide them with the information inside to be able to make optimal decisions to maximize that availability. >>Anything you dad, >>I think in this day and age things like technical dispatcher alive. Relative engines is so high, high 99 sort of percentage. You have to start focusing on things like the maintenance costs to achieve that. Driving your maintenance costs down, but still retaining your really high availability. That becomes a really interesting balance. You could have under percent of relevancy. What it's gonna cost a fortune. You don't want that. >>Well, gentlemen, thanks so much for coming on. The cute, really fascinating discussion. Thank you. Great to have you. All right, you're welcome. And keep it right there, buddy. Paul Gill on day Volante from I F s World in Boston. You're watching the Cube right back Right after this short break

Published Date : Oct 8 2019

SUMMARY :

It's the Q covering What are the major trends that you're seeing in your space and paint a picture for Defense is that has come to some of the other league leading industries. But are the customers Amaro continue is in the midst of a boom and is likely to continue So, Nick, you know people here Rolls Royce, they think you know the iconic brand. the way we think about service is so we've talked about physical engine, Not not the end of the world But for the maintenance piece, And this is why the confluence of our incentives comes together and it really works well. Joe the mechanic really knew his stuff. cloud and all the while the enablers allow you to sort of new to new generations of capability. How long it takes to bring stuff back on sure of the life of the components in the engine, looking for any reasons why the engine might be forced across the pond right now. What have you seen as a result it's the worst engine in the fleet because you don't have the data tell you it isn't right. and we can say you have total care inside to borrow an intel phrase. of the data They get to inform their own performance analysis and maintenance, availability information So you have to be very clear and open. So So the good guys to share data. You double click on the Ecosystem and A and D, obviously different from the sort of core in the traditional sense of referral system like you would see in Corriere P. But more importantly, So it's the it's the manufacturers of the Plains, For example, So the M R organizations that do the work around repair, and it's the entire ecosystem And it's a data pipeline throughout that value chain a digital thread that you guys actually the connective ity of that network between Williams and their customers between the operators and their I want to ask you about the aerospace business it used to be that used to be a very small market in terms of the number of the value from utilization of spatial assets and again are enabling capability. One of the key key performance indicators that you're really trying to optimize visiting? our customers ability to realise the value from those assets and our role in that is to provide them You have to start focusing on things like the maintenance Great to have you.

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Silvan Tschopp, Open Systems | CUBE Conversations, August 2019


 

>> from our studios in the heart of Silicon Valley, Palo Alto, California It is a cute conversation >> lover on Welcome to this cube conversation here in Palo Alto, California. The Cube Studio. I'm John for the co host of the Cube Weird Sylvan shop. Who's the head of solution Architecture and open systems securing Esti win of right of other cloud to point out like capabilities. Very successful. 20 plus years. Operation Civil was the one of the first folks are coming over to the US to expand their operation from Europe into New York. Now here in Silicon Valley. Welcome to the Cube conversation. Thank you. So instituting trivia. You were part of the original team of three to move to the U. S. From Switzerland. You guys had phenomenal success in Europe. You've come to the U. S. Having phenomenal success in the US Now you moving west out here to California on that team, you're opening things up at the market. >> It's been a chance, Mikey. Things can presented themselves step by step, and I jumped on the trains and it's been a good right. >> Awesome. You guys have had great success. We interviewed your CEO a variety of your top people. One of the things that's interesting story is that you guys have been around for a long time. Been there, done that, riding this next next wave of digital transformation. What we call a cloud two point. Oh, but really is about enterprise. Full cloud scale, securing it. You have a lot of organic growth with customers, great word of mouth. So that's not a lot of big marketing budgets, riel. Real success there. You guys now are in the US doing the same thing here. What's been the key to success for open systems wide such good customers? Why the success formula is it you guys are on the right wave. What is it? The product? All the above. What's the What's the secret formula? >> So multiple things I say. And we started as a privately owned company like broad banks to, um, to the Internet email into one back in the nineties. And, um, yeah, we started to grow organically, as he said were by mouth, and Indiana is we put heavy focus on operations, so we wanted to make our customers happy and successful, and, um, yeah, that's how we got there like it was slow organic growth. But we always kind of kept the core and we tried to be unconventional, tried to do things differently than others do. And that's what brought us to where we are today and now capabilities Being here in the Valley, um, opens up a lot of more doors. >> It's got a nice office and we would see I saw the video so props for that. Congratulations. But the real to me, the meat on the bone and story is, is that and I've been really ranting on this whole SD win is changing. SD Win used to be around for a long, long time. It's been known industries known market. It's got a total addressable market, but really, what has really talks to is the the cloud. The cloud is a wide area network. Why do we never used to be locked down? He had the old way permitted based security. Now everything is a wide area. That multi cloud in hybrid club. This is essentially networking. It's a networking paradigms. It's not lately rocket science technically, but the cloud 2.0 shift is about, you know, data. It's about applications, different architectures you have everything kind of coming together, which creates a security problem, an opportunity for new people to come in. That's what you guys? One of them. This is the big wave. What? It explain the new s t win with, you know, the old way and the new way. What is the what? What should people know about the new S D win marketplace? >> Yeah. So let me start. Where do Owen has come from and how digital transformation has impacted that. So typically corporate wider networks were centered around the Clear Data Center where all applications were hosted, storage and everything and all traffic was back holding to the data center. Typically, one single provider that Broady, Mpls links on dhe. It was all good. You had a central location where you could manage it. You had always ability security stack was there. So you had full control. Now new requirements from natural transformation broad as users are on the road, they're on their phones ipads on the in, restaurants in ah, hotels, Starbucks. Wherever we have applications moved to the cloud. So their access directly You wanna have or be as close as possible Unify Communications. I OT It's all things deposed. Different requirements now in the network and the traditional architecture didn't were wasn't able to respond to that. It's just that the links they were filled up. You couldn't invest enough thio blow up your Nampula slings to handle the band with You lost visibility because users were under road. You lost control, and that's where new architectures had to be found. That's where Ston step them and say, Hey, look now we're not centered around the headquarter anymore were sent around where the applications are, your scent around, where the data is, and we need to find means to connected a data as quickly as possible. And so you can use the Internet. Internet has become a commodity. It's become more performance more stable, so we can leverage that we can route traffic according to our policies. We can include the cloud, and that's where Ston actually benefits from the clown. As much as the club benefits from SD went because they go hand in hand and that's also what we really drive to say, Hey, look, now the cloud can be directly brought into your network, no matter where, where data and where applications. >> Yeah, and this is the thing. You know, Although you've been critical of S t when I still see it as the path of the future because it's networking. And the end of the day networking is networking. You moving packets from point A to point B and you're moving somebody story you moving from point A to store the point C. It's hard. And you brought this up about Mpls. It's hard to, like rip and replace You can't just do a wholesale change on the network has the networks are running businesses. So this is where the trick is, in my opinion. So I want to get your thoughts on how companies were dealing with this because, I mean, if you want to move, change something in the network, it takes a huge task. How did you guys discover this new opportunity? How did you implement it? What was the and how should customers think about not disrupting their operations at the same time bringing in the new capabilities of this SD win two point? Oh, >> yeah, that's it's a perfect sweet spot, because in the end is, um, nobody starts at a green field. If you could start with a green field. It's easy. You just take on the new technology and you're happy. But, um, customers that we look up large enterprises, they have a brownfield. They haven't existing that work. They have business critical applications running 24 7 And if you look at what options large enterprises have to implement and manage a nasty when is typically three approaches, they either do it themselves, meaning they need a major investment in on boarding people having the talent validating technology and making the project work already. Look at a conventional managers provider. In the end, that is just the same as doing yourself. It's just done by somebody else, and you have the the challenge that those providers typically, um, have a lot of portfolio that they manage. And they do not have enough expertise in Nasty Wen. And so you just end up with the same problems and a lot of service, Janey. So even then you do not get the expertise that you need. >> I think what's interesting about what you guys have done? I want to get your reaction to this is that the manage service piece of it makes it easier to get in without a lot of tinkering with existing infrastructure. Exact. And that's been one of that tail winds for you guys and success wise. Talk about that dynamic of why they managed service is a good approach because you put your toe in the water, so to speak, and you can kind of get involved, get as much as you need to go and go further. Talk about that dynamic and why that's important. >> Yeah, technology Jane is very quickly. So you need people that are able to manage that and open systems as a pure play provider. We build purposely build our platform for us, he went. So we integrated feature sets. We we know how to monitor it, how to configure it, how to manage it. Lifecycle management, technology, risk technology management. All this is purposely purposely built into it, so we strongly believe that to be successful, you need people that are experts in what they do to help you so that you and your I t people can focus in enabling the business. And that's kind of our sweet spot where we don't say we have experts. Our experts operating the network for you as a customer and therefore our experts are your experts. And that's kind of where we believe that a manage service on the right way ends up in Yeah, the best customer. >> And I think the human capital pieces interesting people can level up faster when you when you're not just deploying here. Here's the software load. It is the collaborations important. They're good. They're all right. While you're on this topic, I want to get your thoughts. Since you're an expert, we've been really evaluating this cloud 2.0, for lack of a better description. Cloud 2.0, implying that the cloud 1.0 was Amazon miss on The success of Amazon Web service is really shows Dev Ops in Action Agility The Lean startup Although all that stuff we read reading about for the past 10 plus years great compute storage at scale, amazing use of data like you, said Greenfield. Why not use the cloud? Great. Now all the talk about hybrid cloud even going back to 2013 We were of'em world at that time start 10th year their hybrid cloud was just introduced. Now it's mainstream now multi cloud is around the corner. This teases out cloud 2.0, Enterprise Cloud Enterprise Scale Enterprise Security Cloud Security monitoring 2.0, is observe ability. Got Cooper All these new things air coming on. This is the new clout to point out what is your definition of cloud two point? Oh, if you had to describe it to a customer or a friend, >> it is really ah, some of hybrid cloud or multi cloud, as you want to name it, because in the end, probably nobody can say I just select one cloud, and that's going to make me successful because in the end, cloud is it's not everywhere, as we kind of used to believe in the beginning, but in the end, it's somebody else's computer in a somebody else's data center. So the cloud is you selectively pick the location where you want to for your cloud instances and asked if Cloud Service providers opened up more locations that are closer to your users in the or data you actually can leverage more possibilities. So what we see emerging now is that while for a long time everything has moved to the cloud, the cloud is again coming back to us at the sietch. So a lot of compute stuff is done close to where data is generated. Um, it's where the users are. I mean, Data's generated with with us. Yeah, phones and touch and feel and vision and everything. So we can leverage these technologies to really compute closer to the data. But everything controlled out of central cloud instances. >> So this brings up a good point. You essentially kind of agreeing with cloud one detto being moved to the cloud. But now you mentioned something that's really interesting around cloud to point out, which is moving having cloud, certainly public clouds. Great. But now moving technology to the edge edge being a data center edge being, you know, industrial I ot other things wind farms, whatever users running around remotely you mentioned. So the edges now becomes a critical component of this cloud. Two point. Oh, okay. So I gotta ask the question, How does the networking and what's the complexity? And I'm just imagining massive complexity from this. What are some of the complexities and challenges and opportunities will arise out of this new dynamic of club two point. Oh, >> So the traditional approaches does just don't work anymore. So we need new ways to not only on the networking side, but obviously also the security side. So we need to make sure that not on Lee the network follows in the footsteps of the business of what it needs. But actually, the network can drive business innovation and that the network is ready to handle those new leaps and technologies. And that's what we see is kind of being able to tightly integrate whatever pops up, being able to quickly connect to a sass provider, quickly integrate a new cloud location into your network and have the strong security posture there. Directly integrated is what you need because if you always have to think about weight, if I add this, it's gonna break something else, and I have to. To change is here. Then you lose all the speed that your business needs. >> I mean, the ripple effect of it's like throwing a stone in the lake and seeing the ripple effect with cloud to point. You mentioned a few of them. Network and Security won't get to that in a second, but doesn't change every aspect of computing categories. Backup monitoring. I mean all the sectors that were traditional siloed on premise that moves with the cloud are now being disrupted again for the third time. Yeah, you agree with that? >> It's true. And I mean your club 0.1 point. Oh, you say a lot of things will be seen his lift and shift and that still works like there is a lot of work loads where it's not worth it to re factor everything. But then, for your core applications, the business where the business makes money, you want a leverage, the latest instead of technologies to really drive, drive your business there. >> I got to get your take on this because you're the head of architecture solutions at Open Systems. Um, is a marketing tagline that I saw that you guys promote, which I live. I want to get your thoughts on. It says, Stop treating your network like a network little marketing. I love it, but it's kind of like stop trying your network like a network implying that the networks changing may be inadequate. Antiquated needs to modernize. I'm kind of feeling the vibe there on that. What do you mean by that? Slow Stop treating your network like a network. What's what's the purpose >> behind that? But yeah, in the end, it to be a little flaw provoking. But I mean, even est even in its pure forms, where you have a softer controller that steers your traffic along different path. Already. For me, as an engineer, I'm gonna lose my mind because I want to know where routing is going. I want deterministic. Lee defined my policy, so I always have things under control. But now it's a softer agent that takes care. Furred takes care of it for me so that already I lose control in favor off. Yeah, more capabilities. And I think that's cloud just kind of accelerate. >> So you guys really put security kind of in between the network and application? Is that the way you're thinking about it? It used to be Network was at the bottom. You built the application, had security. Now you're thinking differently. Explain that the the architectural thinking around this because this is a modern approach you guys were taking, and I want to get this on the record. Applications have serving users and machines network delivers packets, and then you're saying security's wrapping up between them explain. >> So when we go back again to the traditional model Central Data Center, you had a security stack full rack of appliances that the care of your security was easy to manage. Now, if you wanna go ask you when connect every brand side to the Internet, you cannot replicate such an infrastructure to every branch. Location just doesn't skill. So what do you do? Why do you say I cannot benefit of this where I use new methods? And that's where we say we integrate security directly into our networking stack. So to be able to not rely on the service training but have everything compiled into one platform and be able to leverage that data is passing through our network. You've eyes. But then why not apply the same security functions that we used to do in our headquarter directly at the edge and therefore every branch benefits of the same security posture that I typically were traditionally only had in my data center? >> You guys so but also weighing as a strategic infrastructure critical infrastructure opponent. I would agree with that. That's obvious, but as we get into hybrid cloud and multi cloud infrastructures of service support. Seamless integration is critical. This has become a topic, will certainly be talking about for the rest of the year Of'em world and reinvented other conferences like Marcel that night as well. This is the big challenge for customers. Do I invest in Azure A. W as Google in another cloud? Who knows how many clouds coming be another cloud potentially around the corner? I don't want to fork my development team. I want to do one of the great different code bases. This has become kind of like the challenge. How do you see this playing out? Because again, the applications want to run on the best cloud possible. I'm a big believer in that. I think that the cloud should dictate the AP should dictate which cloud runs. That's why I'm a believer in the single cloud for the workload, not a single cloud for all workloads. So your thoughts, >> I think, from an application point of view. As you say, the application guys have to determine more cloud is best for them, I think from a networking point of view, as a network architect, we need to we can't work against this but enable them and be able to find ways that the network can seamlessly connect to whatever cloud the business wants to use. And there's plenty of opportunity to do that today and to integrate or partner with other providers that actually have partnered with dozens of cloud providers. And as we now can architect, we have solutions to directly bring you as a customer within milliseconds, to each cloud, premise is a huge advantage. It takes a few clicks in a portal. You have a new clouds instance up and running, and now you're connected. And the good thing is, we have different ways to do that. Either. We spin up our virtual instance virtual esti one appliance in cloud environments so we can leverage the Internet to go. They're still all secured, all encrypted, ordering me again. Use different cloud connect interconnections to access the clouds. Depending on the business requirements, >> you guys have been very successful. A lot of comfort from financial service is the U. N. With NGOs, variety of industries. So I want to get your thoughts on this. I've been we've been covering the Department of Defense is joining and Chet I joint and the presentation of defense initiative where the debate was soul single purpose Cloud. Now the reality is and we've covered this on silicon angle that D O D is going multi cloud as an organization because they're gonna have Microsoft Cloud for collaboration and other contracts. They're gonna win $8,000,000,000. So that a Friday cloud opportunities, but for the particular workload for the military, they have unique requirements. Their workload has chosen one cloud. That was the controversy. Want to get your thoughts on this? Should the workloads dictate the cloud? And is that okay? And certainly multi cloud is preferred Narada instances. But is it okay to have a single cloud for a workload? >> Yeah, again, from if the business is okay with that, that's fine from our side of you. We see a lot of lot of business that have global presence, so they're spread across the globe. So for them, it's beneficial to done distribute workloads again across different regions, and it could still be the same provider, but across different regions. And then already, question is How do you now we're out traffic between those workloads? Do we? Do you love right? Your esteem and infrastructure or do you actually use, for example, the backbone that the cloud provider provides you in case of Microsoft? They guarantee you the traffic between regions stay in their backbone. So gifts, asshole, new opportunities to leverage large providers. Backbone. >> And this is an interesting nuance point because multi cloud doesn't have to be. That's workload. Spreading the workload across three different clouds. It's this workload works on saving Amazon. This workload works on Azure. This workload works on another cloud that's multi cloud from a reality standpoint today, so that implies that most every country will be multi cloud for sure. But workloads might have a single cloud for either the routing and the transit security with the data stored. And that's okay, too. >> Yeah, yeah, and keep in mind, Cloud is not only infrastructure or platform is the service. It's also software as a service. So as soon as we have sales forests, work day office 3 65 dropbox or box, then we are multiplied. >> So basically the clouds are fighting it out by the applications that they support and the infrastructure behind. Exactly. All right, well, what's next for you? You're on the road. You guys doing a lot of customer activity. What's the coolest thing that you're seeing in the customer base from open system standpoint that you like to share with the audience? >> Um, so again, it's just cool to see that customers realized that there's plenty of opportunities. And just to see how we go through that evolution with our customers, were they initially or little concerned? But then eventually we see that actually, the network change drives new business project and customers air happy that they launched or collaborate with us. That's what that's what makes me happy and makes me and a continuing down that path >> and securing it is a key. Yeah, he wins in this market Having security? >> Absolutely. Yeah, Sylvia saying mind and not wake up at 2 a.m. Full sweat, because here >> we'll manage. Service is a preferred for my people like to consume and procure product in So congratulations and congressional on your Silicon Valley office looking for chatting more. I'm John for here in the keep studios for cute conversation. Thanks for watching

Published Date : Aug 15 2019

SUMMARY :

Having phenomenal success in the US Now you moving west out here to California and I jumped on the trains and it's been a good right. One of the things that's interesting story is that you guys have been around for a long time. And we started as a privately owned company like broad banks but the cloud 2.0 shift is about, you know, data. It's just that the links they were filled up. And the end of the day networking is networking. on the new technology and you're happy. so to speak, and you can kind of get involved, get as much as you need to go and go further. the network for you as a customer and therefore our experts are your This is the new clout to point out what is your definition of cloud two point? the location where you want to for your cloud instances and asked if Cloud Service providers opened So I gotta ask the question, How does the networking and what's the complexity? business innovation and that the network is ready to handle those new leaps and I mean, the ripple effect of it's like throwing a stone in the lake and seeing the ripple effect with cloud to point. And I mean your club 0.1 point. Um, is a marketing tagline that I saw that you guys promote, which I live. pure forms, where you have a softer controller that steers your traffic along Is that the way you're thinking about it? full rack of appliances that the care of your security was easy to manage. This is the big challenge for customers. that the network can seamlessly connect to whatever cloud the business wants to use. So that a Friday cloud opportunities, but for the particular the backbone that the cloud provider provides you in case of Microsoft? Spreading the workload across three different clouds. So as soon as we have sales forests, work day office 3 65 So basically the clouds are fighting it out by the applications that they support and the infrastructure behind. And just to see how we go through that evolution with our customers, were they initially or little and securing it is a key. because here I'm John for here in the keep

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Mike DiPetrillo & Pratima Rao Gluckman, VMware | VMware Radio 2019


 

>> from San Francisco. It's the Cube covering the M Wear Radio twenty nineteen brought to you by the M where >> welcome to Special Cube conversation here in San Francisco for PM wears radio event there. Top engineers air here for once a year Get together and show in the best stuff road map to get to great guests. Here we got Mike Petrillo is the senior director of Blockchain of'em were here where their journey is, where they come from and gone to today where they are up to and for Team A Gluckman Engineering leader Blockchain engine both with GM Where great to see you guys. Thanks for coming on. Appreciate spending the time My favorite topic block Jane our favorite topic to thanks for joining me. So, Mike, let's start with you. Take a street where you guys are now Because we talked about a year ago. Just getting the putting the team together. You were here last year radio kind of getting some core mo mentum. Where have you guys come from? And where are you now? Yeah, >> it's been quite a journey. You know, over the past five years, we've been doing a lot of research that research culminated in an open source project called Project Concorde that we announced last year. Then we wrapped some commercial offerings around it around really the operational side. How do you operate a blockchain at scale in an enterprise setting we introduced? That is Veum wear Blockchain. It's a very descriptive on the naming, and it really focuses on three core things. Enterprise grade, decentralized trust, not distributed trust but really decentralized trust. So being able to deploy it across multiple different cloud environments as well as on prim, it concentrates on robust Day two operations. How do you operate it at scale in an enterprise setting? How do you deal with stuff like GDP are the right to be forgotten? You know, data sovereignty issues, things like that, which is much different than other block Janes. And then the third thing is really being developer friendly. Last year we were fully Ethereum compatible. We had the Ethereum language sitting on top of our block chain. Since then, we've added support for Djamel from digital asset. So another language and we're adding more and more languages so the developers can develop in the framework that they're used to on the best scaleable. You know, Enterprise Supporter >> brings him Dev Ops Mojo Concepts to blockchain. Absolutely, absolutely somewhat. The demo you guys did you get on stage? I want to get too, because it's a really use case. So again, rnd concept jewel years of research started putting together making some progress on developer. So the solutions that you guys presented, we really take us through that. >> So the ocean plastics demo that we talked about a radio basically solves this problem or, you know, just the plastics polluted, polluting our oceans today. So if you look at the numbers are staggering and the BP that you actually a consume, you know, in fish it's pretty scary. The other thing is, you know, it's been predicted that we'll have mohr plastic in our oceans than fish by twenty fifty. And one of the things Dell is trying to do is clean up the environment, and they're building these reusable trays or packaging material for their Dell laptops. And so this use case was providing them that functionality. And if you look at del they you know, they have a massive supply chain. They've got hundreds and thousands of renders that you know, they use despite systems that don't actually talk to each other, they've got complicated work flows. There's also a lot off corruption in their supply chain. And one of the things that can really solve a lot of those problems is bmr blockchain. And they have an instance running on our service, which runs on VM CNW s and I walked through the devil of just going through an aggregator to getting to a manufacturer and then assembling these laptops with the trays and shipping them off to >> think this was something we covered. A del technology world. I just wanna point out for the folks watching Dell's taking recycled material from the ocean, using it as materials into their laptops as a part of sustainability. Great business. You know, Malcolm for del the supply chain pieces. Interesting. So you guys are using blockchain and track the acquisition of the plastic out of the ocean? >> Yes. To manufacturing and to end >> Yes. In tow? Yes. >> Using of'em were blocking. >> Yes. So who coded >> this up? It was actually >> del Del developers coded it up. So they quoted up. They took two weeks to code it. We had absolutely no support issues that came away, which really talks about these. A fuse of our platform. And, you know, just the applications that running. >> How does someone get involved real quick at the plug for they have someone joins the bm where? Blockchain initiative? Yes, Via more block >> change. That's ah, manage service offering from us. So it's a license, you know, product. If they're interested, they can go to the inn where dot com slash blockchain or emails? The blockchain dash info beyond where dotcom get it signed up on the beta. We have an active beta. We have lots of enterprise customers all around the planet using it today. You know, at scale >> is a free servicers are licensed paid license. >> There will >> be a paid license for it. You know, we're invader right now, so it is free, right? >> I get it. But we're gonna get you in the snow. So it is. It is a licence service. Yeah, It's Amanda's >> service offering on. That's you know, the beauty of it is that you don't have to worry about updating it, you know, keeping the nose live anything like that. We don't see the transactional data. We don't manage the nodes or anything like that. But we deploy and keep him updated. Keeping refresh. >> You know, one of the benefits Ray Farrell's on. Just how about the ape revolution? How I change the world with the Internet and the web that blockchain has that same kind of inflection point impact you mentioned GDP are that implies, Reed. You know, changing the the values on the block chain will dwell in the Ganges is immutable. How do you handle that? Because if it's already immutable on encrypted, how does Tootie pr work? >> Yeah, just doesn't take >> care of you. Why wait? If it's encrypted, no one can see it. >> Yeah, well, you know, block chains, not about encrypting the data, right? There are some block change that do encrypted data. People get confused because they associated the cryptography with it, which links the blocks together. But the data in there is still visible. Right? We're working on privacy solutions to make privacy per transaction. We're working on GDP our issues right now, because that is an issue. When you get into a regulated environment, which there isn't really a non regulated environment these days. You have to worry about these things. You know, Blockchain gives you a mutability and that gives you to trust. But really, Blockchain is about trust. It's about this decentralized trust. And when you think about it in that context, you say, Well, if I trust that I want to be able to delete that data and we reach consensus on it and we still maintain the order, right, the proper order of the bits, which is really what Blockchain is doing, is giving you trust on that order. Bits and I agree, is a consensus to delete one of those pieces out of the order bit, and we can still maintain trust of the order bits. And that's fine. Now I can't get into details on this engineering secret sauce. >> I. So one of the things I want to ask >> you guys just engineers, because I think this is one of the things that I see is that Blockchain is attractive. There's a lot of unknowns that coming down the pike, but we do know one thing. It's a distributed, decentralized kind of concept that people like it. I see a new generation of attracted the blockchain new generation of entrepreneurs, a new generation of young people, engineers who see use cases that others from old school industry might not. So you start to see. I won't say it's the hipster or cutting edge. It's just that it's attracting this kind of new generation developer for engineer. >> Why do you >> think that's the case? Why, and and is that right assumption to look at? Because, you know, when asked his blockchain, certainly state of the art. Yeah, it's not as fast as a database of I wanted to do something. Technically, that's like saying the Internet dial up was bad. But what happened after? So you know, a lot of people making these arguments, But I see it definitely resonating with young people. Yes, look at Facebook who tried looking blockchain and moving their entire a broken system. Teo blocked, Jammed. Try to fix that so you can feel these indicators. What's your thoughts? >> I think >> part of it. And I definitely saw this, you know, last Friday and Saturday, I was eighty three up in New York City, right, and it was very much that hipster crowd, and I was really attached to the crypto currency phase. Cryptocurrency allowed individuals to make investments. You know, the kind of millennials to make investments. They didn't have to go to a e trade or they didn't have to go to some broker. It wasn't caught up in anything. They could, you know, make these bets. And now they can build applications that are directly attached to that currency. They can make up their own currency. They can make up their own value system. You know, you've done some of that with a cube, right? We've launched an application that provides value around the content and token eyes. Is that value? And now it can transfer that value So it opens up the transfer of that value, the trust of that value. And I think, you know, we're in a generation of trust and transparency. That's what's powering the world right now is about trust and transparency, and that's what Blockchain gives you, gives you trust in the system that no one person or no one government owns, and >> I really like that. >> But one thing important is I mean, we just have to demystify this like we just have to say, This is not about Cryptocurrency. That's one thing, and what I am is doing is enterprise blockchain and, you know, and Mike, you've talked about this. You always say, you know, black jeans, not going toe, you know, save the world or, you know it's not going to get rid of poverty. But there's four use cases that we've drilled down to in the supply chain realm, and there's the financial services. And so those are some of the things we're tackling, and I think it's important to like talk about that. And, you know, there's these hipsters every time we go and talk anything with regarding the blockchain, we know a big chunk of people, therefore Cryptocurrency and apparently at consensus in New York, they reduce their audience from I can't remember the numbers. When >> I was >> in the two thousand >> last year were about House kicked out all the crypto >> currency people, and so it's important to make that distinction. >> I think the crypto winter probably hurt them more than taking up, because last year there was a lot of hype there, but I think the bubble was already burst around February last year. But this piece of the good point is something that we've been kind of covering on silicon angle. The Cube is there's infrastructure dynamic. The engineering goodness. I think that certainly is intoxicating to think about Blockchain as an impact. Engineering wise, the token conversation brings up utility, the decentralized crypto currency, the icy, his initial coin offerings. The fraud part or regulated part has caused a lot of problems. So to me, well, I tell people was looking the CEO kind of scams and fraud kind of put a shadow on token economics. And Blockchain is a technology so supply chain no doubt is great. Blockchain. That's where you guys are focused. That's what the enterprise want. Way start getting into tokens. Tokens is a form of measurement. Uh huh. And that's where I think the regulators to do your point earlier is it's caused a lot of problems. So you know, the says if you got a utility token and you're selling >> it, it's Zane exchanges, not kill each other. So that's you're >> called. A lot of it would call those app developers. >> Yeah, but the up developers were still out there, right? And what's nice is these app developers that are on the side building these unique little applications. They still end up working for these larger companies and driving interesting solutions through like we're doing with supply chain like we're doing financial services like what we're doing in Telco and Media. You look at the people that we're dealing with in these companies. They came from building those applications. Heck, some of our own product managers came from building unique things mining rigs and mining companies. So you still have that background. They still have that entrepreneurial, you know, asset. And that's what's changing these cos they're driving change these companies saying, Hey, look, we can use the blockchain for this really unique thing that opens up a brand new business line, you know, for this large corporation, >> you know, I showed you our check preview. We did a quick preview of'Em World last year with our block changing me with a cube coin token, kind of total experimental thing. And it was interesting time because I think you hit the nail on the head. We as entrepreneurial developers. I had this great application we want to do for the Cube community, but we were stalled by the you know, the crypto winter, and you know, we're Apple developers, so there's many use cases of such scenarios like that. That's kind of people are kind of halfway between a Z A B. What's your advice toe to us, or folks like us who were out there who want to get the project back on track? What what what should we and application will do? They should they free focus on the infrastructure peace? What's your advice for the marketplace? >> It's so early, it's It's so early to actually really comment on that. I mean, I would say Just keep at it because you never know. It's I feel like we're so early in the game that though we can solve world hunger, there's so many use cases and applications that come out of it and we just have to keep going. And I think the developer community is what's going to make this successful, you know, and even emerging standards. I think that's one thing is standards across, You know, these block chains like we don't have that right now, and that's something we really need to need to do. And >> I don't know we program in Ethereum. >> So the question is, is that a bad choice is a lot of cognitive dissonance around with the right to. >> That's what I was just going to bring up is that >> you know, you brought up the point of your an app developer and you become stalled, you know, in your project. And we see that exactly same thing happening in the enterprise. We go into account after account where they've chosen some block change solution that's out there and to become what I call a stalled pioneer. They've gone through. They develop that application. But they either hit a scale, ability issue and then, you know, throughput or the number of nodes. They hit an operations thing. You know, operations comes in and says, Whoa, how are you going to do an audit on that thing? What about data Sovereign? What about GPR? What about this one? How are we? My God, you're gonna operate it inside of my environment? You know, what's the security side? So it's really round scale ability. It's around operations. It's around security. Those are three things we hit on over and over and over again with the stalled pioneers. So those of the accounts that we go into and rescue them essentially right, we say we can provide you the scale. We can provide you the through, but we can provide you the operations. For twenty years, the Empire has been taking large, complex distributed systems and making you operate them at scale in an enterprise setting. Where the experts at it So we're doing that would block chain now and allowing your blockchain projects to succeed and >> really find that term. Yep. Yeah. Okay, So, radio. What's the feedback here? Obviously got. Got the demo. What's been some of the peer review Give us the the four one one on peer review here. People liking what's going on? >> I think the demo really talk to people. It was relatable. You're a There was a social good a demo. I think it really impacted them. Um, but some of the cool stuff we're doing is also like in the financial services side. You know, we've got Mohr interesting stuff on the supply chain, so the feedbacks been great. Ah, lot of focuses on VM are blockchain, which is also cool. We didn't quite have that last year. In radio, we had everyone running off in different directions. So now it's via more blockchain And what Mike talked about installed pioneers is you know, we were seeing scalability throughput on numbers. And, you know, we talked about it at the immoral Barcelona A numbers. They're looking really great. And, you know, we're we're optimizing pushing our platform so we could get to, you know, perhaps the papal numbers rave, and someday visa, >> you have high availability. You guys know scale. Yeah. You happy where you are right now? >> Very happy where we >> are right >> now. I mean, we've got great customers. Great feedback, you know, great solution that solving real world problems. You know, engineers like doing two things shipping code and solving stuff that's going to help the world. At least you're of'em where that's our culture, right? And And we're able to do that day in and day out and the entire block chains the cornerstone to that. That's what makes people happy. >> Mike Protein, We following your journey. Great. Teo, check in Great to hear the progress. Congratulations on the great demo reel Use cases in supply chain. We'LL be following you guys and keep in touch. Thanks for coming on the key. Absolutely. Thank you for >> the time >> chauffeur here with Lisa Martin here in San Francisco for work. You coverage of radio, the top engineering event where they all come together internally with GM, where one of a few press outlets here, the Cube bringing exclusive coverage. Thanks for watching.

Published Date : May 16 2019

SUMMARY :

M Wear Radio twenty nineteen brought to you by the M where And where are you now? How do you operate a blockchain at scale in an enterprise setting we So the solutions that you guys presented, we really take us through that. are staggering and the BP that you actually a consume, So you guys are using blockchain and track the acquisition of the plastic out of the ocean? Yes. And, you know, just the applications that running. So it's a license, you know, product. You know, we're invader right now, so it is free, right? But we're gonna get you in the snow. That's you know, the beauty of it is that you don't have to worry about updating it, You know, one of the benefits Ray Farrell's on. If it's encrypted, no one can see it. Yeah, well, you know, block chains, not about encrypting the data, right? So you start to see. So you know, a lot of people making these arguments, And I think, you know, we're in a generation of trust and transparency. You always say, you know, black jeans, not going toe, you know, So you know, the says if you got a utility token So that's you're A lot of it would call those app developers. They still have that entrepreneurial, you know, Cube community, but we were stalled by the you know, the crypto winter, and you know, And I think the developer community is what's going to make this successful, you know, So the question is, is that a bad choice is a lot of cognitive dissonance around with the But they either hit a scale, ability issue and then, you know, What's been some of the peer review Give us the the four one our platform so we could get to, you know, perhaps the papal numbers rave, You happy where you are right now? Great feedback, you know, great solution that solving real world problems. We'LL be following you guys and the top engineering event where they all come together internally with GM, where one of a few press outlets here,

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George Kanuck, Zenoss | Nutanix .NEXT Conference 2019


 

>> live from Anaheim, California. It's the queue covering nutanix dot next twenty nineteen Brought to you by nutanix. I'm >> just going to hear you. >> Welcome back, everyone to the cubes. Live coverage of dot Next here at the Anaheim Convention Center in California. I'm your host, Rebecca Night, along with my co host, John Furrier. We are welcoming to the Cube. George Canuck. He is the vice president. Worldwide sales and channels absent us. Thank you so much for coming on the Q. >> Thanks for having me excited to be here. >> So here we are on the convention floor. Sixty five hundred attendees. You actually have a booth here? Yes, you do, actually. Right over >> there. Take a look. Orange logo. >> Very handsome logo. So tell it for our viewers who are not familiar with your company. Tell your Austin, Texas based tell tell our viewers a little bit about what you do. What's what sentences about? >> Sure. So we help professionals do something really important, ultimately solving a big problem for them, which is keeping customers happy. So we're looking at we provide a suffer platform that looks at all of the underlying infrastructure that's actually supporting the application itself. So they're trying to deliver APS and services their customers a happy customers. Somebody clicks their phone or their laptop and just gets to that service. We make sure that that app is available and healthy, but looking at everything underneath it. Whether that's Ah hybrid cloud, it's a private hcea type cloud as well. Or it's micro services or its legacy infrastructure. It doesn't matter. We talk to it and we help make sure that everything's working properly. >> But it works the way it's supposed to >> exactly way had the chief product officer on scene eel from New Chantix talking about hyper convergence. The benefits of that Yeah, it's also thought the hyper converge clouds, I guess, with the lack of a better description that that rules going there, too, When you start to get into this resetting of the infrastructure elements on premises and also in hybrid multi cloud Yeah, a lot of problems arise. They did a huge issue. So can you give us some color commentary on your thoughts on where customers are here summer summer like, Well, we're not there yet. Summer stuck running out of gas or stuck in the mud, and some just saying, you know, we're all in on the cloud, So different profile makeups of sure Wow, adoption. >> Yeah, let me talk about a little bit. So I heard a stat recently that the current adoption of enterprises for clouds about ten percent. So ten per cent of workloads today in the cloud doesn't mean that there isn't a lot of growth and a lot of people aren't trying it, but only ten percent are there. And in a lot of cases, the more progressive organizations actually did move workload with cloud they got there. They found out that maybe things were more expensive than they thought or didn't quite perform well and they took a step back and retooled it. It really was for Nutanix, I think personally Ah, very good time for them to step in with this notion of a private cloud. It's sort of that step in between for some of them. However, when you look at it from our perspective, we you know, we've been around since two thousand five. We started his open source and moved into a commercialized product. We've worked with some of the biggest banks. Insurance companies tell echoes and even MSP is in the world. We've seen that the certain workloads have moved to the cloud pretty quickly or too hyper converged. But yet there's still a lot that hasn't and there's a lot of unknowns that air there. In some cases, it's a function of Is the team ready to make the move and other cases? Is the culture of the organization ready to make the move? For us? It doesn't matter because we can look at all of it. But we can make it easier for them because we actually help them. Look at the various workloads in the performance of those abs and how how they would perform. And they make a move to the >> T. Want to get your thoughts on the psychology of the the environment, the buyer or the abuser. Whenever is a changeover to new technology or new desktop or, you know, cloud, the expectation is better run better, so coming around faster and better, better user experience. Yes, so this kind of puts you guys on the pressure cooker because you guys have toe monitoring starts working worse than it was before. Yeah, so table stakes now is be better. Be faster whether it's a VD, I roll out or cloud implementation. How do you guys hate a lead? >> We know there's there's a piece that actually happens before that. So the first step that we see that happens for organizations making the move is actually rationalizing the views of the truth. That makes sense. And so, in a lot of organizations, there are different silos. I've been in meetings where the Dev Ops team, the same team running service now, for example, and the cops are meeting each other, shaking hands and saying, Hi, Jane. Hi, Bob. Great to meet you for the first time. And that is being Those meetings are being held by what I'LL say are more progressive leaders, the CEOs and GPS. But the first thing that happens is every group says we'LL have this basket of tools that I'm using to make sure that my customers are happy and they have to rationalize all that one of our customers. Huntington Bank had thirty seven tools in place to look at every single part of the business and get that one view and he could match. It's pretty difficult we helped to make that transition. If they're culturally going to make the switch than having a grip on what's working. Now we'LL help them replicate that when they make the move Teo Private cloud or Public cloud. That makes sense. >> Yeah, totally does. And they also mentioned the status quo. A lot of companies don't want to rock the boat. Yes, when they bring in new technologies. How do you see that playing out? Because one of nutanix is advantages that they get in. They change agents? Yes, and cause some benefits there for the customer, and then they grow from there. But yes, the people still gonna buy the old old stuff. >> Yeah, well, so you know what's interesting? So we have a change agent who's a friend of ours that nutanix a customer. So Wendy, fight for the CEO of NUTANIX is actually a customer of ours. They call themselves customer zero. If you've read her interviews, she they drink their own Champaign. And she recently we interviewed her and she talked about that change. And I believe it does need to come from the top town. So progressive leaders will introduce that change of the business and honestly make it comfortable for their team to take risks because it is a risk making a move any of these technologies. I think when you when we look at the I guess the simplest migration for a customer to HCR Private Cloud, it is going to be maintaining that visibility across the legacy into the new world that's going to be critical for them. That view, by the way, is one that that even the CEO wants and the CEO. >> I want to talk about the changing role of the CEO because because it is it is a very big theme and trend in this industry. And you keep talking about this idea of a progressive CEO, and this is someone who is willing to take risks. Willing Teo, tear down silos, make sure people are collaborating. Can you talk a little bit more about what you see as the people who are best at their jobs? Yes, best CEOs out there and what they're doing, what they're doing differently, >> right? Well, so I mentioned these groups meet for the first time the cops, the Dev, Ops and Sam, and probably other groups that come into those rooms as well. The profile today of a lot of the CEOs and the Final one is someone who came up through the operations organization more than likely, and they understand how that world works. They've had to. For some of them, it's been unease e transition to bring the Dev ops folks into the room. I think about this, right Cops roll is in the past. Bring me an apple. Make sure runs flawlessly on this amazing gear that I have. The Dev Ops role is I'm going to take a nap. I'm going to run it on this gear and I'm gonna optimize the app. So it's a different view to get to the same problem in the other end. And so I would tell you that it is about being progressive and that role has shifted. It's very possible the next batch of CEOs will come out of the developer organization one more quick common on that. So there's a pretty provocative Forrester wave that came out a few weeks ago that we're in who for the first time didn't look at the type of tech they actually looked at. The problem being solved and the problem, as they categorize it, is intelligent application and service monitoring. So it is about services and APS running well on DH. There are more than one technology to solve that problem. We're pleased Tio have been recognized for our thought leadership. That's >> how do you guys handle the potential blind spots in the observation space that you guys have to look under the covers and look at everything? How do you guys identify potential blind spots? What's what's you guys filtering out? Take us through an example? >> Sure, we'LL sue a couple things that'LL help you get to the blinds. So there are a lot of blind spots, especially have multiple tools. There's blind spots. The second part of that that's pretty relevant, is getting complete visibility to all the right folks in the organization. So one of the first things we do is look at that entire surface, if you will, the entire landscape lay it all out and started the top with the service and show all the dependencies of everything underneath it. We call that the model, so when the models in place, then we can show the impact of change on the model that could be a bad piece of gear. It could be a bad piece of code. It doesn't really matter to us. We're looking at it that way. That's that's probably the first step in it. The second piece that goes along with this is something we did intentionally, which is we brought a I into the mix. So we partner with Google. We actually pivoted much like Nutanix did a number of years ago last year really seen as cloud and brought in the A, A A and M L capabilities of Google, primarily because the amount of information coming out of all these complex infrastructures is more than a human could handle. So we're using that ay, ay to help look at each anomalies problem as it happens each potential blind spot and uncover that using the technology to determine. Is it a real problem for me, or is it just noise? >> It's interesting you bring up the I T Ops and Dev ops thing. You know one thing that Google proved out. I've been saying this on the Q as you know, for years and recently highlighted at the recent next conference, they nailed the whole s sorry thing it's light reliable with the engineer, and they didn't do it as a strategy to try to get market share. They didn't because they had their own problem. Yeah, that was massive scale, lot of automation, A lot of software. But they had a development environment of debs and ops. Was about one human. Too many machines? Yeah, relationship. That's essentially what you're getting at. Here it >> is. Actually, it's It's interesting. You know Mike Nickerson from Google, who published some of the interesting initial charts, kind of like a Maslow's hierarchy of Sorry, the foundational level actually is monitoring. It's sort of like a RH or water or safety on DH. Having that visibility is the first piece, The one thing all city though you touched on automation, the all that information, the world and all that, eh? Eyes kind of worthless if you can't actually automate the back end of it. So we spent a lot of time working with either cloud optimization, you know, a DBS Lambda or Google of Claude Function. Or we're looking at things like pup in Chef just to automate all of that other end of it. We have a term we use. We called software defined. It stops when you get to the point where the inputs more than a human can handle. They won't deal to react fast enough. A lot of our tools, the human's air used This sounds like I'm talking about the sky net, but a lot of the tools the humans use our eyes. Actually, in forensic analysis, when a problem happens, the remediation and the and the pro activities happening through the machine, you >> know where it's kinda went. Dog starts sniffing out Bala where I want to get the machines, actually, on the stack related question. You know, one of the things we heard from so Neil, the chief product officer, was the multi cloud battles will be fought on the top of the stack or up to stack. So the question is, what line or what? What? What's the line for under the hood now? So as you look at micro services and Deb, ops continues to go with Cooper Netease and service meshes. Yeah, you're gonna have a serious of service is being turned on terror. Tauron down all the times, right? So that challenges on the B on the monitor monitoring and observation. So where do you guys go? How high up do you go? Is there a line where the hood is? What's under the hood? What's about you? Do you think that's >> a fantastic question? I couldn't have asked for a better one. So the one side of it is house. Yeah, performing that sort of above the hood if you will write. And we are looking at that and we're looking at all the way to the level of down to the experience of that application and how it runs on the infrastructure. But we go all way down to the bare metal is well, because we think there's a value in doing it. There's a couple of concepts out there around server. Listen, by the way, Xena's cloud is a survivalist deployment. So, actually, you know, eat her own dog for you. Drink our own Champaign when it comes to this tack. But that notion of below the hood for us is all the way down to the bare metal, and that visibility, if you want to look at it in another way, is actually the great high quality data and raw material to drive the II and the output. It if you have to make sense of the other end of it. Yup. >> I want to ask you about the show. So at how many? How many of these have you been to? And what What's your experience? What are you? What do you What do you hoping to bring back with you to Austin today myself. >> But for Nutanix, we've been We've been a partner with Satanic since since we started working there as a customer, which would have been probably late. Twenty sixteen, twenty, sixteen. We started doing the shows last year. We did we actually attend as a partner. We attend some of their meetings and the partner part's important to come back to in a second, but a zeo as a technology partner initially. Now we're moving into a point we were trying to sell with the team and help them bring our visibility to their customers. The last thing we did was was next Europe, which is a fantastic show in London last fall. And we've also done a lot of the road shows in the cities. The thing we love about it is we both talked to the same customer. Both have the same people were talking to the one thing we're trying to do. And I know that Nutanix is as well as we want to bring more of the developers and Dev ops crew into it. We believe they need to be a part of the discussion. So something we're trying to help facilitate. But but this show has been fantastic for us. Yeah, >> and to your point about the developers, we're seeing that in the infrastructure worlds, not just operation work. There's Debs in there now. Yes. Automating away these mundane, repetitive tasks. Yeah, I think I think it's >> more friendly than it was for sure. >> All right, >> we'LL take your word for it. Thank you so much, George. For coming on. The Cuba was a pleasure having you on. >> Thank you. Pleasure meeting about. Thank you so much. Take care. >> I'm Rebecca Knight for John Furrier. We will have so much more from nutanix dot Next coming up in just a little bit

Published Date : May 9 2019

SUMMARY :

It's the queue covering Live coverage of dot Next here at the Anaheim Convention So here we are on the convention floor. Take a look. So tell it for our viewers who are not familiar with your company. We talk to it and we help make sure that everything's working properly. So can you give us some color commentary Is the culture of the organization ready to make the move? Yes, so this kind of puts you guys on the pressure cooker because you So the first step that we see that happens for How do you see that playing out? I guess the simplest migration for a customer to HCR Private Cloud, And you keep talking about this idea of a progressive CEO, The problem being solved and the problem, as they categorize it, So one of the first things we do is look I've been saying this on the Q as you know, for years and recently highlighted at the recent next conference, Eyes kind of worthless if you can't actually automate the So that challenges on the B on the monitor monitoring and observation. Yeah, performing that sort of above the hood if you will write. How many of these have you been to? We believe they need to be a part of the discussion. and to your point about the developers, we're seeing that in the infrastructure worlds, not just operation work. The Cuba was a pleasure having you on. Thank you so much. We will have so much more from nutanix dot Next coming up

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Huub Heijnen, Scape Technologies & Chandini Jain, Auquan | AWS Summit London 2019


 

>> live from London, England. It's the queue covering a ws summat London twenty nineteen, Brought to you by Amazon Web services. >> We're at the A. W s summits here in London, at the XL Center there are thousands and thousands of delegates here looking to see the future for their own technologies on what Kyle will hold for them, as well as lots of the other established players here. There are plenty of startups. I'm just down the street and this is my co host, Dame Ellen. We're gonna be talking to a few of the startup founders who are with us here on the Cuban. It's great to have you here. So first up, Hu Pei jin, Who is that? The co founder of the three d mapping based service. And this is called Escape Technologies, but also chanting Jane. And you are the co founder. A swell founder, I believe is it found it found in co founder ofyour organization called Kwan. Now let me festival starts talking to Jan Di and about what you do because you're offering a service to financial services. Are you on helping them with machine learning? Teo, try and offer the best portfolio managers for wealth investment. How does it work? What you're offering? >> Yes, our platform basically allows traders, portfolio managers, asset managers who want to make smarter investment decisions to build machine learning models. To do this Theo idea is that data driven investing should help funds make more profits for themselves and their clients. But there's not enough data, scientists, King data scientist who can actually do more good for them. And we address this lack of talent by using a community of data scientist people who come from outside of finance to help them crowd to help fund managers crowdsource model, using their intelligence, their talent. So the process is really simple. Clients come to us with what we like to call an investment problem or a finance problem. We take that problem and convert it into a pure matter. And she learning problem. That's someone who is not from finance, can understand and soil >> so really interesting. You say that because I've spoken to other founders of other data companies who say, for example, be looking at the stars for their main bread and butter. But then Khun transfer those skills and astronomy to the financial sector and those types of people that you're trying to harness their skills. >> Yeah, exactly. So our community is made up of people who work at tech. Companies at Google and Amazon have sport off people who are putting graduate program and computer science and math machine learning, but don't necessarily know finance. And the idea is, can you make this problem than two problems? Can you make finance problem into problems that this community of data scientists really smart data scientists understand without needing to know finance? >> It's interesting that it lord, because ofthe a lack of of data scientists, Really? But do you think if you eliminate all the kind of heavy lifting out of what you do in the future, though, will be a need for fewer data? Scientists? >> I don't think we need to fut the scientist, but they wouldn't be a need for reform Toe have in house teams. They will basically be able to. A data scientist working in an unequal miss company should be able to solve problems of a finance company. The scientists working in uber should be able to solve problems for a hedge fund because we're building this translator that can allow knowledge from anywhere to be used to solve any kind of problems. >> Okay, let me talk to you because you do three d mapping services. Why do you think these are essential for technologies large and small? Going forward, >> Esso and every future industry in the future is going to have some autonomous aspect to it. So if you think about Atanas vehicles, ever think about delivery Jones. These are going to be machines. They're going to be acting autonomously in human like environments, and they're going to make decisions based on purely what they're observing with hardly human in between. So the only way that this can happen intelligently and safely is if those machines also have a human like understanding ofthe human like environment, just like you humans. So while we are providing these things, machines with Is that human like understanding and the first service that we're building towards that is a visual positioning system to provide the machines with the ability to answer the question. Where am I now? The only way that you can provide official positioning system is this. If you also have a visual map off of the world on this math needs to be updated in real time. So for every future industry, having a real time update version off the real world is fundamental. That's the pinnacle around. Every single every single decision that autonomous agent is going to make is going to be based upon this map. >> So this map was really value Peace Corps piece, um, that we're building. So I've often wondered if people talk about autonomous cars, but we don't have things like autonomous cart's right now. People will say, Well, an Amazon warehouse would have that. But there, following beacons or stripes, Yeah, what you're talking about is potentially taking >> us to the point where you can break that barrier. Is that fair? Exactly. And for warehouses, I would forever advice to use those beacons. Because warehouses are pre pre massaged environments, you define what the environment looks like. Whereas humans we walk around in cities, in nature and all these places that are not pre processed, we have to take our cues from the visuals that we observe. So if you go back to your hometown, for example, you observe a Starbucks logo Starbucks logo and observe our street sign, you might be able to very opposition based on those visual visual cues. Even though the environment itself was not pre processed to provide those cues, the cues are already in the nature. So >> we've heard that there have bean in these trials that have bean accident. There's a limit that is >> Oh, yeah, totally. So at the moment, they're sure are accidents, But you are a human. You can navigate properly with any human environment, using your visual sense it your eyes. Therefore, any machine will, in the future only need that visual sensor as well. So only a camera to navigate around the world were seeing great great progress on the neural networks, deep learning as well as on the geometry and visual image processing, like the type of computer vision that we do that are making so much progress that guaranteed a couple of years from now, the devices will have the understanding off the world like humans do. And we'LL be able to make decisions even better than humans do because they don't got there. They don't get tired. They don't need coffee. S o. B. Guaranteed. More safe than any human knowledge. It's Sunday, and you probably hate the term robo investing, right? But but it sounds like you're doing that form of machine investing for and with hedge funds is that isn't fair. And is your background finance data science or both? >> Both. Actually, I studied engineering, but I started working as a trader of infidelities trading company in Chicago. On that I started with them. We were very old school discretionary, you know, a couple of very senior guys who were making everything based on their past experience and that contusion about the market. On my time with them, he started shifting from this manual human process driven trading to something that was more systematic, inconsistent again. That's where the whole idea >> for all >> Kwan came from. I saw firsthand the benefits that making your trading more data driven more model and algorithms driven could have >> unique. You probably hate this trump to your unicorn, but I'm guessing you guys have no it shop is You're right. It is in the cloud. Is that writer OK, >> it is, you know, straight onto the cloud todo in that started. You didn't exist before. >> Yeah, yeah, Waylon Street in the club. >> And you got a team of developers. They program infrastructure. Totally. >> Yeah. We have a team off for developers and the city of totally tech team of five based out of India. We have a developed sky who basically runs everything for us. Our website, Our platform where the data scientist party prision where our clients see the mortals where client fronts for data to us and where our machine learning computations run >> right three t mapping used to buy a box the Unix box, maybe get a database mother software. Yeah, so we're in scale were thought of as well, right? So when we what you need is the process. If you want to create a three d map off even a city but we have to do is run eight hundred GPS in parallel, blasting through imagery data. Now, this is impossible. If we as a starter had to buy a GPU wreck right from the bat, we would have been bankrupt even before we started. So, like being able to spin up GPU servers in the cloud and also killing them after we're done with them say there's a lot of money but also provides so much flexibility for us to do prototyping and two on DH to make everything affordable and east implement with very, very small team of very talented system. >> It's a real kind of pick and mix approach. Just what kind of services do I need to get off the shelf? And then it happened to you? >> I think one of the great things that a US has been able to do infrastructure used to be a very dusty and tangled industry on one of the beauties that Davy was able to do is actually product eyes, product, eyes, infrastructure. So you can now actually pick and choose different products from the idea of a library and put them together, connect them, tied him up very, very cleanly. With a very small team, I create something that is just accedes. Any expectations from a start of twenty years ago. So why, why eight of us? A lot of other clouds out there who has got a good cloud. Microsoft has a big cloud. Why did you guys migrate or moved to eight of us not moved to start with a W s. How was that decision made? >> I mean, we started with eight of us because we were gonna start a program a date afterwards. But then we just really liked the support that we got a way. We had access to someone twenty four seven. We had a dedicated person who was helping us on DH. We were just starting out. So the first time interacting with a cloud infrastructure, uh, the support was greater than the pricing will go great. For a start, it would have to say that's just a start of ur cost sensitive and the ability to turn on on and off services as and when we need them. I think that was fantastic. >> Does it concern you that we've heard a lot about how the cost of services has come down quite a lot? There's a lot of Costco going, but in the future, if you're overly reliant on your provider, can that put you into a corner? >> I mean, you get into troubles if your spotify skill, but as a start of the environment that ate us created for startups to flourish, is incredible. The amount of I think you have the same, like we receive a huge amount of credits just for starting. So if you raise a seed round of money which is, let's say, one million U. S. Dollars. US puts one hundred thousand worth of credit. On top of that, that's ten percent extra funding for free provided. Wait. Oh, yes. Furthermore, they have this great architects. The help you out with all the questions that you might have if this is the first time that you are actually designing a whole our detector around a data processing apartment or an FBI or a Web platform? Very, very supportive. What was that? What's the one thing a ws would could do to make your life easier? If you're sitting here with Andy Jassy, what would you tell him? >> I mean, it's already fantastic. It's made our life so much easier. I really don't think of anything that could have gone better. >> Really? Nothing. I mean, you had reduced the cost even way prices. >> Okay. Well, thank you so much for talking to us about your experiences here on the Cube. Who? Heiner. Thank you. Co founder of Escape. And also it'LL really, Jane, it's really be fascinating to hear how you've grown your businesses. So I really appreciate you joining us here with me. Damayanti here at eight Ws summits in London

Published Date : May 8 2019

SUMMARY :

a ws summat London twenty nineteen, Brought to you by Amazon Web services. Now let me festival starts talking to Jan Di and about what you do because you're offering So the process is really simple. You say that because I've spoken to other founders of other data companies And the idea is, can you make this problem than two problems? I don't think we need to fut the scientist, but they wouldn't be a need for reform Toe have in house Okay, let me talk to you because you do three d mapping services. Esso and every future industry in the future is going to have some autonomous aspect to So this map was really value Peace Corps piece, um, that we're building. So if you go back to your hometown, for example, you observe a Starbucks There's a limit that is So at the moment, they're sure are accidents, But you you know, a couple of very senior guys who were making everything based on their past experience and that contusion about the market. I saw firsthand the benefits that making your trading more data driven more It is in the cloud. it is, you know, straight onto the cloud todo in that started. And you got a team of developers. our clients see the mortals where client fronts for data to us and where our machine learning computations So when we what you need is the process. And then it happened to you? So you can now actually pick and choose different products So the first time interacting with a cloud infrastructure, uh, I mean, you get into troubles if your spotify skill, but as a start of I really don't think of anything that could I mean, you had reduced the cost even way prices. So I really appreciate you joining

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Marty Jain, NVIDIA | DevNet Create 2019


 

>> live from Mountain View, California It's the queue covering definite create twenty nineteen. Brought to You by Cisco >> Welcome back to the Cube. Elisa Martin with Set Cisco Definite Create twenty nineteen at the Computer History Museum, but here all day, talking with some really great innovative folks excited to welcome to the Cube. Marty Jane, senior director of this Cisco Global Partnership and Video. Marty, It's great to have you here. >> Thank you. Good to be here. >> So I always love talking about partnerships Where what Day One of Dev. Net. Tomorrow's day to. There's been a lot of a lot of community spirit is here, so I just kind of in the spirit of partnerships, lot of collaboration that community is is really strong. Uh, before we get into kind of the details of this Cisco in video partnership first kind of thing, I wonder is all right. This is the developer community. Why the developer community within video? >> That's a great question. So if you think about way, make GP use, which is a piece of silicon graphics processing unit, and it is really only a piece of silicon until a developer comes along and develops a cool app on it. So if you think about how we go to market our large conferences called GTC, it's really developer. Focus. We have a little over a million developers in our ecosystem, and I find it very synergistic with Cisco. If you think about Suzy, we's vision. I think it's the same idea. You look at over half a million developers in their ecosystem and they want to develop collapse, and that's how your platform becomes relevant. So if you think of all the modern innovation that's coming from developers, so these are the folks that we should be talking to on a daily basis. I see a lot of commonality, a lot of synergies. In fact, we had Sisko definite come over to our conference GTC, and they they appeal to our developers. And now we're here talking to their developers and also developing some joint platforms which the the folks can use for. Like I said, the more modern *** with all the new data that's coming, whether the coyote with a machine learning automotive, smart cities, you name it, we need to be able to provide the platform to the developers >> and a number of those topics came up today, even during the keynote, Smart cities being able to utilize and accelerate work leads with a I and machine learning. They gave some great examples during the keynote of how developers can build networks. They give this cool example of I think it right off the hills of Coachella of designing a secure network for an indoor concert, designing it for an outdoor festival, Coachella and then designing it for a massive stadium like a big football game like the Super Bowl, for example. And they showed it that higher end. They showed how they're using machine, learning to zoom in on. For example, they had this little red box and you see people and what's actually in there than the machines detected was a fight and in real time, analysing this data and thence, dispatching the appropriate security to come and obviously probably take the drinks out of their hands first. But it was a really interesting, great real world example. So you guys have been partners a long time. Our you've been actually working at various companies with Cisco for a long time, but I think of Cisco and video coming together. How are you great? Something to accelerate these? Aye. Aye. And machine weren't were machine learning workloads that we're starting to see in every industry. >> You bet. Great question. So let me first comment on what you said about smart cities. I like to think of it as smart and safe cities. So actually, the first set of application will be around public safety. What the example you were giving his spot on? If you have large crowds gathering, it makes sense for us to be able to look at those clouds. Crowds? We call it intelligent video analytics or idea. In fact, we have a platform here. The Sisko i R eleven o one with a GPU added to it. So now I can wash the crowds. And if there's a fight breaking out or somebody's carrying in a weapon, you want to know somebody walks in carrying a backpack and drops it and moves on. You want to know one? Inform somebody. So what is happening is way of these millions and millions of bites of video data, >> and >> that data is not being really used today. So what we're doing is saying you know what? Let's find those pieces of intelligence and the video data and do something with it. And public safety is absolutely the highest priority. So smartest, safe city makes a lot of sense. So what we're doing is we're going to market with partners at Cisco. So what we're doing is we're saying Okay, let's design these GPS into the servers, which are connected to cameras and think about how many cameras are deployed today, probably a billion. And a lot of the video data can now be used for public safety purposes, and we basically go out and talk to large companies. We talked to governments. We talked to cities along with Sisko to go even open their eyes to what is possible today. >> Right? Because of that data is dark for so long, they don't know what they don't know. >> While most cases, what happens is you record four days of video and until something happens, nobody goes back and takes a look at it. But now we have the ability to look at the real time and cities and government's desire that very much so, >> sir example, that's such a relevant topic. I mean, they know. There's also the issue of privacy. But to your point about not just a smart city but a smart, safe city. I like that. I think it's absolutely imperative. How do you have this conversations with cities with governments about All right, this is what we want. Do we want to actually apply machine learning? So the machines are taught What that line is with privacy with those boundaries are so that a person, I'd say a lay person not in technology. Maybe is a city government official who doesn't understand the technology or need Teo will go. I get it. >> Yes. So our conversations are really about what we call you cases. So think of enterprise. A good use case would be. In fact, we work with Cisco on developing use case. You know, you always badge in into an enterprise. You have your badge, you walk in. But you also have some cases. People follow you, following you in what stops you from following me into a building. And usually people are too polite to say no, you can walk in, but we've >> all had the video training or read the manual. We know we're not >> we're not supposed to bite, but >> then you're like, I >> don't just cultural, exactly. We just can't you know that. So now we have the ability. So we trained a in a network to say, Look, if Marty's badging in, only he's allowed to walk in. And if there's a second person walks in, I want to take put Little Red Square on that face and inform security that we have had more than one person walking. So these are some of the ways. So we talk about use cases. This is one use case crowd behavior. Analytics is another use case. You know, people were walking in the backpack, dropping it. Other use case would be something like Bar to Bart loses millions of dollars year because people jumped the turnstiles and Bart didn't really have a good way of of monitoring, measuring the losses until we put a camera and captured the number of people that were jumping. The turnstiles are going in through the handicap access, okay? They were losing ten times the dollar value of what we had thought. Wow. So this is how we start the conversation with use cases, you know? And what would you like to do? Being able to count the number of cars in intersection begin with counter number of pedestrians, so you could do traffic management better. That's the language we would use with cities and governments. And then we go deeper as you go through the implementation process. >> Well, that makes perfect sense going in the use case route, because you can clearly see in that example that you mentioned with Bart a massive business outcome and an opportunity to regain a tremendous amount of resource is that they could redeploy for whether it it's new trains, new trucks, etcetera than them, not realizing we're losing how much money. I think anybody when you could put the useless in that context of this is what you can expect as an outcome. They get it >> Absolutely. That's the really the only way to start the conversation than starting from bits and bytes. And this is the This is usually the case across industries. If you think about retail, for example, you know you go to a safe way to start talking about GPS and servers. That's not the great way to start, but they do have issues with shoplifting, for example. So how do you know a person is walking in, you know, through the checkout. And they have one item. Then there's a small item right here and they walk out with this. How do you monitor that? So now you can do that with the right kind of cameras that can capture. Look there Two items, not one. How do you know where shop are stopping Which aisle is the most popular? I'Ll How do you know that? Well, now you can have cameras would say, Look, we have red zones and Green Zone so you could do those kinds of things with modern ways of doing. I >> so interesting because it's so. I mean, the examples that you gave are so disparate, but yet they make so much sense was how how you're describing it rather than going into, you know, a grocery store in talking about GPS, which they might fall over with their eyes. Doing this >> right. >> You're actually putting in the context of a real world problem they've been experiencing since the beginning of time. Don't you understand? Only goodness and this is how we can use technology. It's the safe way becomes a technology company. They don't know it. What actually started packing their bottom line. >> That's right, And so even now, you know. So I have to take that and you extend that into How do you go to market? And it's something you wanted Teo Touch on. How do you go to market with Cisco's? How does ingredients is? Could do it together, right? So think of Cisco's sales teams who are talking to all these customers every day where their retailers, financial services, federal government, health care, you name it. So what we've done is we basically sort of taking all these industries and created the top three or four use cases we know are relevant to that industry, either for safety or for saving money's. For variety of their operational reason, we have narrowed it down to three or four five use cases and each of those target industries. So what we do now with Cisco teams that we would bring them into our facility or go to them and really talkto all those use cases and train them on Hey, look, this is what we do jointly, and that makes the conversation much easier. Then they will go and present to the customer and what's the customer gets an idea far this all possible. Now that starts a deeper level technology and server and GPU engagement. So this is one way we go up and talk to different customers. What's the school's >> second? About a bit. Marcus. Cisco is so enormous, they have a billion different. I'm slightly exaggerating products with but a lot of different technologies that form many different solutions. So I imagine your Cisco expertise over many years of working with Cisco's a partner for other companies. How do you once you get to that deeper level conversation, how do you bring this different groups within Cisco together? So that that solution conversation is one that really aligns to that use case and the customer doesn't get it? >> Yeah, that's a difficult question to answer. That's like, you know your work. It's just cause a large company. But I think I also think they're also very cells driven, and that's what drives the different groups to come together. In fact, some people called me the Connector because I've been working. Cisco's so long. I know people and definite I know people in sales. I know people in the server. BU, in fact, if you think about the The platform was talking about the i r eleven o one with the jets and GPU that came as a result. I was talking to the i o t bu result talking to Dev net our situation the definite he said. You know what? This is cool are gonna do this. Then we take that to the IOC Guys is Oh, this is cool. We can take that. Put it in this platform, and then I'm next. Actually, next week I'm talking to a sale. Seaman Cisco. They cover utilities. And this platform was profit for utilities. Even think about fire monitoring in a forest. How do you do, boy thousand? The people to just watch what happens. We can take a platform like that now and really deploy it in hundreds of places which could monitor fires or the starting off a fire. But yes, bringing them together. It is no easy task. It's fun >> where you are smiling. I like that. Marty the connector. Jane, thank you >> so much for >> joining me on the kid this afternoon. Fun conversation. I enjoyed it. >> Ofcourse. Thank you. Likewise. Thank >> you, Lisa Martin for the Cube. you're watching us live, Francisco Definite. Create twenty nineteen. This is the end of day one. Stick around, John. Failure on I will be back tomorrow to cover day too. Thanks for watching.

Published Date : Apr 25 2019

SUMMARY :

live from Mountain View, California It's the queue covering Marty, It's great to have you here. Good to be here. So I always love talking about partnerships Where what Day One of Dev. So if you think about how we go to market our large conferences called GTC, So you So let me first comment on what you said about smart cities. So what we're doing is we're going to market with partners at Cisco. Because of that data is dark for so long, they don't know what they don't know. While most cases, what happens is you record four days of video and until something happens, How do you have this conversations with But you also have some cases. all had the video training or read the manual. And then we go deeper as you go through the implementation process. Well, that makes perfect sense going in the use case route, because you can clearly see in that example that you mentioned So now you can do that with the right I mean, the examples that you gave are so disparate, Don't you understand? So I have to take that and you extend that into How do you go to market? How do you once you get to that in fact, if you think about the The platform was talking about the i r eleven o one with the jets where you are smiling. joining me on the kid this afternoon. Thank This is the end of day one.

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Eric Herzog, IBM & James Amies, Advanced | Cisco Live EU 2019


 

>> Live from Barcelona, Spain. It's the cue covering Sisqo. Live Europe, Brought to you by Cisco and its ecosystem partners. >> Welcome back to Barcelona, Everybody watching the Cube, the leader in live tech coverage. My name is Dave Valentin here with my co host Student events. Do Myself and John for Be here all week. Eric Hurt, Saugus Here Long time Cuba Long friend. Great to see you again. He's the CMO of IBM IBM Storage division. He's joined by James Amy's, who's the head of networks at advance. The service provider Guys, Welcome to the Cube. Good to see again. >> Great. Thanks for having us loved being on the cute. >> So we love having you So, James, let's start with you. Tell us a little bit about advanced to want to dig into some of the networking trends. We're hearing a lot about it here. It's just go live. >> Yeah, I think so. Advanced are a manage service provider software software company based in the UK, one of the largest software companies in the UK, providing interim solutions for lots of different Marchal market verticals, including healthcare, local government, regional government, national infrastructure projects we've got involved with as well as charity sector legal sector. A lot of education work we do is real diverse portfolio of products we offer on with the manage services piece. We also offer complete outsourcing. So this is desktop support. Telephony support, printer support all the >> way back into integration with public cloud platforms and private cloud platforms, the majority of >> which is our in. >> So so Eric advanced are both a customer and a partner, right? Right, right. And so you love you. Love versus Stack. These guys are presumed versus stack customers. Well >> stacked customer in the Versace tack, as you know, Integrate. Cisco, UCS, Cisco Networking Infrastructure, IBM Storage of all types entry products up into the fastest all flash raise with our software spectrum virtualized spectrum, Accelerate Family and James's company is using versus tax is part of their infrastructure, which they then offer, as you know, to a service toe and uses. James just described. >> So let's talk about some of the big trends that you guys are seeing and how you're both responding to customers and you're responding to your customer. So we're seeing two hearing today. Lot about multi cloud. We've been hearing that for a while the network is flattening your network expert love to get your your thoughts on that. Security, obviously, is a huge topic. End end management, another big topic, something that IBM is focused on. So so James, what 1 of the big mega trends that you're seeing that a driving your business decisions and your customer's activity? One >> of the big changes we're seeing is a change from large scare enterprise scale deployments off a particular type of technology on customers are now choosing because they're informed the best fit for a particular application or particular service on that may be coming to a service provider like ourselves to offer our services products to them. Uh, or they're looking for us to run in infrastructure service for them or integrate with a public cloud offering. So the competition of the public cloud for service providers is key on DH. I think people were looking around a few years ago thinking, How do we compete to this well, with partnerships that we have in our Francisco? It gives us a very compelling competitive offering. But we can turn around and say, Well, we can give you a like for like, but we can give you a slightly better service because we could give you guaranteed availability. We give you guaranteed price point on, and this is all backed with key vendor certified designs. So we're not talking about going out on developing a solution that takes maybe eighteen months to take to market. This is understanding a requirement for a quick, you know, Q and A with a customer a line that, too a reference architecture that we can literally just pick up off the shelf, deploy into our data centers using the standard building rocks that we use across the business. So Nexus nine K seven k's or our standard bread and butter inside the data center environment. As Eric pointed out, Cisco UCS is our our key Intel computer platform that we used on DH. The store wise IBM product has been a real true success story for us. So we started off being a a mixed then the house where we would align storage requirement paste with what we could find in the market. That was, that was a good fit. But the store was products is basically just allowed us to standardize on the speed of deployment is one of the key things. So we started out with a very lengthy lead time tio service ready, which is when we start charging for revenue on if we want a ninety day build. Well, we've got a lot of special service time, A lot of engineering time getting that ready Teo, Teo and take to the customer and then we turn it on. We can start seeing revenue from that platform with versus Stack. This enabled us to accelerate how quickly we can turn that on. And we've seen that drop, too. They're literally days through standardisation elements of automation as well. Many of our environments are bespoke because we have such a wide arrange off different types of customers with different needs, but it allows us to take those standing building blocks, align them to their needs and deliver that service. >> James James, we found the peas are often in the middle of those discussions that customers are having on multi clouds. You talked a lot about the services you build. Are they also coming to you? If if you tie into the public Cloud services or yes, maybe you can help explain a little bit on how that worked Five years ago, it was the public loud there are going to kill them and service providers. And what we see is customers can't sort out half of what's going on. They've got to be able to turn two partners like you to be able to figure this out. >> Yeah, that's a fantastic question. I think three years ago we'd be talking to our customers and they were I am going to this public cloud or I am going to build this infrastructure. Where is now? They're They're making Mohr informed select decisions based on the drive to the hosted office and voice platforms offered by Microsoft. There's a big driving. Many of our customers are going in that direction, but it's how we integrate that with legacy applications. Some of the solutions that some of our customers use have have have had millions of pounds of investment into them, and that's not something I can just turn off the water away from overnight. So it is how we're integrating that. We're doing that at the network level, so it's how we're appearing with different service providers, bringing that in integrating that, I'm offering it to them as a solution. What we try tio, we try to try position ourselves is really it's the same experience, regardless of where we're placing it. Consumption. Workload doesn't know whether it's inside our data centers, whether we're talking one of the public cloud platforms or even on premise. So we have quite a few customers that still have significant presence on premises because that's right for their business, depending on on what they're doing, especially some of the research scientists. >> So you've got to deliver flexibility in your architecture, and you talk a lot about software to find you guys made a big move to software to find, you know, a couple years ago, actually, maybe discuss how that fits in to how you're servicing advanced another client? >> Sure. So you know, IBM Storage has embraced multi Cloud for several years. So our solutions. While, of course, they work with IBM, Cloud and IBM cloud private work with Amazon. They work with azure Google Cloud and in fact, some are products. For example, the versus stack not only is advanced using it, but we've got pry forty or fifty public, small, medium sized cloud providers that our public references for the vs Tag and Spectrum Protect you Know which is our backup product Number one in the Enterprise. Back up space Expect from detectives Got at least three hundred cloud providers. Medium, small and big. Who offered the engine underneath for their backup is a service is spectrum protect, So we make sure that weather PR transparent cloud tearing our cyber resiliency technology. What we doing? Backup archive object storage works with essentially all cloud providers. That way, someone like James A. CSP MSP can leverage our products. And we, like I said, we have tons of public records around versus Stack for that, but so can an enterprise. And in fact, I saw survey recently that it was done in Europe and in North America that when you look at a roughly two billion US size revenue and up the average company of that sizing up, we use five different public cloud riders at one time. Where that it be due to legal reasons whether that be procurement. You know, the Web is really the Internet. And, yeah, Cloud is really just It's been around for twenty some years. So in bigger accounts, guess what is now involved Procurement Well, we love that you did that deal with IBM club, but you are going to get a competitive quote now from Amazon and Microsoft, right? So that's driven it legal's driven it. Certain countries, right? The data needs to stay in that country, even if your cloud if eyeing it, it's so to speak. So if the clap water doesn't have a data center there, guess what? Another geographer used different. And then you, of course, still have some large entities that still allow regional buying pattern so they'll have three or four different cloud providers that air quote certified by corporate. And then you could use whichever one you want, so we make sure that we could take advantage of that. Wade and IBM. We ride the wave, We don't fight the way. >> So you've got in that situation. You these multi cloud you got different AP eyes, You get different frameworks potty, you abstract all that complexity you got, Francisco coming at it from a networking standpoint, I b m. Now with Red Hat is good. Be a big player in that that world. VM where What do you guys do? James, in terms of of simplifying all that multi cloud complexity >> for people. I think some of it is actually the mystifying on its engaging with our partners to understand what the proposition is on, how we can develop that on a line, that to mind your own business, but more importantly, to the needs of our customers. We've got some really, really talented technicians worked within within advance, and we've got a number of different forums that allow them to feed back their ideas. But we've got the alignments between those partners and and some of those communities, so that we can have an open discussion on drive. Some of that thinking forward about ultimately see engaging with customers. So the customers feedback is key on how we shape and deliver no need service to them, but also to the service to other customers. We have a number of customers that are very similar, but they may work in different spaces, some somewhere even competitive. So we have to tread that line very safe, very carefully and safely. But it is. It's a good one to one relationship between the client service managers, technical technicians. We have inside business having that to complete three sixty communication is key, but that's that's that's really the bottom takes. Its creation >> came like youto dig into security for us a little bit. You know, I think we surpassed a couple of years ago. I'm not going to go to the cloud to it because it's not secure to Oh, I understand it's time for me to least reevaluate meant security and, most likely, you know, manage service fighters. Public clouds are probably more secure than what I had in my data center, but if I've got multiple environment, there's a lot of complexity there. So how do you traverse that? Make sure that you've got a comprehensive security practice, not just all these point solutions for security all over the place. >> Ah, so that's that comes onto visibility. So its visibility understanding where all the control points are within a given infrastructure on how the landscape looks. So we were working quite closely with a number actually of key Cisco and IBM partners, as well as IBM and Cisco themselves directly tohave a comprehensive offering that allows us to position to our customers. You used to once upon a time you had one game, right? So we need it is from good security on your Internet. Facing viable For now, you might have a ten. Twenty, thirty of those. We need tohave consistent policies across those. We need to understand how they're performing, but also potentially, if there's any attempt attack vector on one of them. How that how someone is trying to looking to compromise that so centralized intelligence on That's where we start to look at my eye operations to gather all that information. The long gone are the days where you have twenty people sharing a room just reading streams. Those twenty people now need thio. See reams and reams of information instantly. Something needs to be called up to them. They could make a decision quickly on Active planet on DH. That's really where we we're positioning ourselves in the market to differentiate. I'm working with key part, Mr >> Never talk about your announcement cadence. Good idea as a big show. Think coming up in a couple weeks cubes gonna be there. Of course. What can we expect from from you guys? >> So we're actually gonna announce on the fifth before things way, want to drive end users and our business partners to storage campus, which is one of the largest campuses at IBM, think we'll have over fifteen pedestals of demo and actually multiple demos because we have such a broad portfolio, from the all flash arrays to our versus stack offering to a whole set of modern data protection management control for storage, which manages in control storage, that's not ours, right? Our competitors storage as well, and, of course, our software to find storage. So we're going to do a big announcement. The focus of that will be around our storage solutions. These air solutions blueprints reference architectures is Jane, you mentioned that use our software and our storage systems that allow reseller or end user to configure systems easily. Think of it as the ultimate wrestling recipe for that German chocolate cake. But it's the perfect recipe. It's tried. It's true, it's tested. It's been on the Food Channel twenty seven times and everybody loves it. That's what we do with our our solutions. Blueprints. We'll have some announcements around modern data protection, and obviously a big focus of IBM. Storage is been in the space. So both storage as an Aye aye platform for aye aye, applications are workloads but also the incorporation of technology into our own storage systems and software. So be having announcements around that on February fifth going into think, which will then be the week after in San Francisco. >> Great. So I'm here and trusted data protection plays into that. Aye, aye. Intelligence machine intelligence. And I'm also hearing header of Geneti multiple platforms. Whether it's your storage, you said our competitors now does that also include sort of the clouds? Fear we're not announcing anything. But you guys have you know, you've seen your pictures. That's azure itt's a w a s. I mean, that continues >> so absolutely so. Whether it be what we do from backup in archive, right, let's take the easy one. So we support not only the protocol of IBM clad object storage which we acquired and allows you to have object storage either on premise or in a cloud in stance e ation. But we also support the s three protocol. So, for example, our spectrum scale software giant scale out. In fact, the two fastest supercomputers world you spectrum scale over four hundred fifty petabytes running on spectrum scale, and they continue their to an object store that supports us three. Or it can tear toe IBM clad object stories through that IBM clad object storage customer. That's great for using the S three protocol. You, Khun, Tear to that as well. That's just one example. Same thing we do for cyber resiliency. So from a cyber resents me perspective, we could do things with any cloud vendor oven air cat air gap, right? And so you could do that, eh? With tape. But you could also do that with the clouds. So if your cloud is your backup archive replication repository, then you can always roll back to a known good copy. You don't have to pay the ransom writer. When you clean up the malware, you can roll back to a known good copy, and we provide that across all of the platforms in a number of ways. Our protect family, our new products, a safeguard copy for the main friend that we announced October. So all that allows us to be multi cloud resiliency as well as how do we connect a multi cloud backup archive automated tearing all kinds of clouds, whether the IBM cloud and, of course, I'm a shareholder. So I love that, but at the same time were realistic. Lots of people use Amazon Google Azar. And like I said, there's thousands of mid two small cloud providers all over the world, and we support them, too. We engage with everyone. >> What about SAS? You know, that's one of the questions we've been trying to squint through and understand is because when you talk about five cloud providers is obviously infrastructures of service. And then there's their service providers like like Advanced. And then there's like a gazillion SAS Companies >> write a lot of data >> in there and a lot of data in there. How should we think about, you know, protecting that data? Securing that data is that sort of up to the SAS vendor, and thou shalt not touch. Or should that be part of the scope of AH, storage company? Well, so what we do >> is we engage with the SAS vendor, so we have a number of different sass coming is, in fact, one of them was on the Cube two years ago with us. They were startup in the cyber security space and all of its delivered over SAS. So what they do is in that case, the use our flash system product line, they get the performance they need to deliver south. They want no bottlenecks because obviously you have to go over the network when you're doing SAS Andi. Also, what they do is data encryption at rest. So when the data is brought in because we have on our flash arrays capability and most of our product line especially the flash systems to have no performance hit on encrypt their decrypt because its hardware embedded, they're able to have the data at rest encrypted for all their customers. That gives them a level of security when it's at rest on their site. At the same time, we've given the right performance. They need tohave soft reserve, so we engage with all we pry have three hundred, four hundred different SAS companies who are the actual software vendor and their deployment model. This software's interest, by the way, we do that as well as I mentioned, over three hundred cloud providers today have a backup is a service and the engine ease their spectrum. Protect or spectrum protect. Plus, but they may call it something else. In fact, we just had a public reference out from Silver String, which is out in the UK, and all they do is cyber resiliency. Backup in archive. That's their service. They have their own product, but then spectrum Protect and Spectrum Check plus is the engine underneath their Prada. So that's an example. In this case, the backup is a service, which, I would argue is not infrastructure, but more of an application. But then true what you call real application providers like cyber security vendors, we have a vendor who in fact, does something for all of the universities and colleges. United States. They have about eight thousand of them, including the junior colleges, and they run all their bookstores. So when you place an order, all their air NPR, everything they do is from this SAS vendor that's based in there in the Northeast. And they've got, like I said, about a thousand colleges and universities in the U. S. And Canada, and they offer this if you will bookstore as a sass service and the students use it. University uses it. And, of course, the bookstores are designed to, you know, make a little money for the university, and they all use that so that's another example. And they use are flash systems as well. And then they back up that data internally with spectrum protectors. They obviously it's the financial data as well as the inventory of all of these book stores all over the United States at the collegiate >> level right now. James Way gotta wrap, but just sort of give you the final word. UK specialist, right? So Brexit really doesn't affect you. Is that a fair statement? >> Uh, we'll do? Yes. >> How so? >> I think it's too early to tell. No one really knows. I think that's all the debates are about. AJ's trying to understand that on DH for us. We're just watching and observing. >> Staying focused on your customers, obviously. So no predictions as to what's going to happen. I was not from a weeks ago. I got hurt both sides. You know, it's definitely gonna happen, All right, Not happen, but okay, again give you the last word. You know? What's your focus? Over the next twelve eighteen months? >> Eso all our focus is really about visibility, So they they they've touched on that. We're talking about security for customers. Understanding whether data is whether exposure point saw. That's our keep. Keep focusing on DH versus stack on dh thie IBM store wise product underpin all of those offerings that we have on. That will continue to be to be so forward. >> Guys. Great to see you. Thanks so much for coming on the Cube and our pleasure hosting you. Thanks. Appreciate, Really welcome. Alright, Keep right, everybody. We'll be back. Day Volante was stew Minutemen from Cisco live in Barcelona. >> No.

Published Date : Feb 2 2019

SUMMARY :

Live Europe, Brought to you by Cisco and its ecosystem partners. Great to see you again. Thanks for having us loved being on the cute. So we love having you So, James, let's start with you. company based in the UK, one of the largest software companies in the UK, And so you love you. stacked customer in the Versace tack, as you know, Integrate. So let's talk about some of the big trends that you guys are seeing and how you're both responding to customers So we started out with a very You talked a lot about the services you build. Many of our customers are going in that direction, but it's how we integrate that we love that you did that deal with IBM club, but you are going to get a competitive quote now from Amazon and Microsoft, You get different frameworks potty, you abstract all that complexity you got, So the customers feedback So how do you traverse The long gone are the days where you have twenty What can we expect from from you guys? a broad portfolio, from the all flash arrays to our versus stack offering to a whole set of modern But you guys have you know, you've seen your pictures. In fact, the two fastest supercomputers world you spectrum scale over four hundred fifty petabytes You know, that's one of the questions we've been trying to squint through and How should we think about, you know, protecting that data? And, of course, the bookstores are designed to, you know, make a little money for the university, James Way gotta wrap, but just sort of give you the final word. Uh, we'll do? I think it's too early to tell. So no predictions as to what's going to happen. That's our keep. Thanks so much for coming on the Cube and our pleasure hosting you.

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