>>The cube presents HPE discover 2022 brought to you by HPE. >>Hey everyone. Welcome back to the Cube's day one coverage of HPE discover 22 live from the Venetian in Las Vegas. I got a power panel here, Lisa Martin, with Dave Valante, John furrier, Holger Mueller also joins us. We are gonna wrap this, like you've never seen a rap before guys. Lot of momentum today, lot, lot of excitement, about 8,000 or so customers, partners, HPE leaders here. Holger. Let's go ahead and start with you. What are some of the things that you heard felt saw observed today on day one? >>Yeah, it's great to be back in person. Right? 8,000 people events are rare. Uh, I'm not sure. Have you been to more than 8,000? <laugh> yeah, yeah. Okay. This year, this year. I mean, historically, yes, but, um, >>Snowflake was 10. Yeah. >>So, oh, wow. Okay. So 8,000 was my, >>Cisco was, they said 15, >>But is my, my 8,000, my record, I let us down with 7,000 kind of like, but it's in the Florida swarm. It's not nicely. Like, and there's >>Usually what SFI, there's usually >>20, 20, 30, 40, 50. I remember 50 in the nineties. Right. That was a different time. But yeah. Interesting. Yeah. Interesting what people do and it depends how much time there is to come. Right. And know that it happens. Right. But yeah, no, I think it's interesting. We, we had a good two analyst track today. Um, interesting. Like HPE is kind of like back not being your grandfather's HPE to a certain point. One of the key stats. I know Dave always for the stats, right. Is what I found really interesting that over two third of GreenLake revenue is software and services. Now a love to know how much of that services, how much of that software. But I mean, I, I, I, provocate some, one to ones, the HP executives saying, Hey, you're a hardware company. Right. And they didn't even come back. Right. But Antonio said, no, two thirds is, uh, software and services. Right. That's interesting. They passed the one exabyte, uh, being managed, uh, as a, as a hallmark. Right. I was surprised only 120,000 users if I had to remember the number. Right, right. So that doesn't seem a terrible high amount of number of users. Right. So, but that's, that's, that's promising. >>So what software is in there, cuz it's gotta be mostly services. >>Right? Well it's the 70 plus cloud services, right. That everybody's talking about where the added eight of them shockingly back up and recovery, I thought that was done at launch. Right. >>Still who >>Keep recycling storage and you back. But now it's real. Yeah. >>But the company who knows the enterprise, right. HPE, what I've been doing before with no backup and recovery GreenLake. So that was kind of like, okay, we really want to do this now and nearly, and then say like, oh, by the way, we've been doing this all the time. Yeah. >>Oh, what's your take on the installed base of HP. We had that conversation, the, uh, kickoff or on who's their target, what's the target audience environment look like. It certainly is changing. Right? If it's software and services, GreenLake is resonating. Yeah. Um, ecosystems responding. What's their customers cuz managed services are up too Kubernetes, all the managed services what's what's it like what's their it transformation base look like >>Much of it is of course install base, right? The trusted 20, 30 plus year old HP customer. Who's keeping doing stuff of HP. Right. And call it GreenLake. They've been for so many name changes. It doesn't really matter. And it's kind of like nice that you get the consume pain only what you consume. Right. I get the cloud broad to me then the general markets, of course, people who still need to run stuff on premises. Right. And there's three reasons of doing this performance, right. Because we know the speed of light is relative. If you're in the Southern hemisphere and even your email servers in Northern hemisphere, it takes a moment for your email to arrive. It's a very different user experience. Um, local legislation for data, residency privacy. And then, I mean Charles Phillips who we all know, right. Former president of uh, info nicely always said, Hey, if the CIOs over 50, I don't have to sell qu. Right. So there is not invented. I'm not gonna do cloud here. And now I've kind of like clouded with something like HP GreenLake. That's the customers. And then of course procurement is a big friend, right? Yeah. Because when you do hardware refresh, right. You have to have two or three competitors who are the two or three competitors left. Right. There's Dell. Yeah. And then maybe Lenovo. Right? So, so like a >>Little bit channels, the strength, the procurement physicians of strength, of course install base question. Do you think they have a Microsoft opportunity where, what 365 was Microsoft had office before 365, but they brought in the cloud and then everything changed. Does HP have that same opportunity with kind of the GreenLake, you know, model with their existing stuff. >>It has a GreenLake opportunity, but there's not much software left. It's a very different situation like Microsoft. Right? So, uh, which green, which HP could bring along to say, now run it with us better in the cloud because they've been selling much of it. Most of it, of their software portfolio, which they bought as an HP in the past. Right. So I don't see that happening so much, but GreenLake as a platform itself course interesting because enterprise need a modern container based platform. >>I want, I want to double click on this a little bit because the way I see it is HP is going to its installed base. I think you guys are right on say, this is how we're doing business now. Yeah. You know, come on along. But my sense is, some customers don't want to do the consumption model. There are actually some customers that say, Hey, of course I got, I don't have a cash port problem. I wanna pay for it up front and leave me alone. >>I've been doing this since 50 years. Nice. As I changed it, now <laugh> two know >>Money's wants to do it. And I don't wanna rent because rental's more expensive and blah, blah, blah. So do you see that in the customer base that, that some are pushing back? >>Of course, look, I have a German accent, right? So I go there regularly and uh, the Germans are like worried about doing anything in the cloud. And if you go to a board in Germany and say, Hey, we can pay our usual hardware, refresh, CapEx as usual, or should we bug consumption? And they might know what we are running. <laugh> so not whole, no offense against the Germans out. The German parts are there, but many of them will say, Hey, so this is change with COVID. Right. Which is super interesting. Right? So the, the traditional boards non-technical have been hearing about this cloud variable cost OPEX to CapEx and all of a sudden there's so much CapEx, right. Office buildings, which are not being used truck fleets. So there's a whole new sensitivity by traditional non-technical boards towards CapEx, which now the light bulb went on and say, oh, that's the cloud thing about also. So we have to find a way to get our cost structure, to ramp up and ramp down as our business might be ramping up through COVID through now inflation fears, recession, fears, and so on. >>So, okay. HP's, HP's made the statement that anything you can do in the cloud you can do in GreenLake. Yes. And I've said you can't run on snowflake. You can't run Mongo Atlas, you can't run data bricks, but that's okay. That's fine. Let's be, I think they're talking about, there's >>A short list of things. I think they're talking about the, their >>Stuff, their, >>The operating experience. So we've got single sign on through a URL, right. Uh, you've got, you know, some level of consistency in terms of policy. It's unclear exactly what that is. You've got storage backup. Dr. What, some other services, seven other services. If you had to sort of take your best guess as to where HP is now and peg it toward where Amazon was in which year? >>20 14, 20 14. >>Yeah. Where they had their first conference or the second we invent here with 3000 people and they were thinking, Hey, we're big. Yeah. >>Yeah. And I think GreenLake is the building blocks. So they quite that's the >>Building. Right? I mean similar. >>Okay. Well, I mean they had E C, Q and S3 and SQS, right. That was the core. And then the rest of those services were, I mean, base stock was one of that first came in behind and >>In fairness, the industry has advanced since then, Kubernetes is further along. And so HPE can take advantage of that. But in terms of just the basic platform, I, I would agree. I think it's >>Well, I mean, I think, I mean the software, question's a big one. I wanna bring up because the question is, is that software is getting the world. Hardware is really software scales, everything, data, the edge story. I love their story. I think HP story is wonderful Aruba, you know, hybrid cloud, good story, edge edge. But if you look under the covers, it's weak, right? It's like, it's not software. They don't have enough software juice, but the ecosystem opportunity to me is where you plug and play. So HP knows that game. But if you look historically over the past 25 years, HP now HPE, they understand plug and play interoperability. So the question is, can they thread the needle >>Right. >>Between filling the gaps on the software? Yeah. With partners, >>Can they get the partners? Right. And which have been long, long time. Right. For a long time, HP has been the number one platform under ICP, right? Same thing. You get certified for running this. Right. I know from my own history, uh, I joined Oracle last century and the big thing was, let's get your eBusiness suite certified on HP. Right? Like as if somebody would buy H Oracle work for them, right. This 20 years ago, server >>The original exit data was HP. Oracle. >>Exactly. Exactly. So there's this thinking that's there. But I think the key thing is we know that all modern forget about the hardware form in the platforms, right? All modern software has to move to containers and snowflake runs in containers. You mentioned that, right? Yeah. If customers force snowflake and HPE to the table, right, there will be a way to make it work. Right. And which will help HPE to be the partner open part will bring the software. >>I, I think it's, I think that's an opportunity because that changes the game and agility and speed. If HP plays their differentiation, right. Which we asked on their opening segment, what's their differentiation. They got size scale channel, >>What to the enterprise. And then the big benefit is this workload portability thing. Right? You understand what is run in the public cloud? I need to run it local. For whatever reason, performance, local residency of data. I can move that. There that's the big benefit to the ISVs, the sales vendors as well. >>But they have to have a stronger data platform story in my that's right. Opinion. I mean, you can run Oracle and HPE, but there's no reason they shouldn't be able to do a deal with, with snowflake. I mean, we saw it with Dell. Yep. We saw it with, with, with pure and I, if our HPE I'd be saying, Hey, because the way the snowflake deal worked, you probably know this is your reading data into the cloud. The compute actually occurs in the cloud viral HB going snowflake saying we can separate compute and storage. Right. And we have GreenLake. We have on demand. Why don't we run the compute on-prem and make it a full class, first class citizen, right. For all of our customers data. And that would be really innovative. And I think Mongo would be another, they've got OnPrem. >>And the question is, how many, how many snowflake customers are telling snowflake? Can I run you on premise? And how much defo open years will they hear from that? Right? This is >>Why would they deal Dell? That >>Deal though, with that, they did a deal. >>I think they did that deal because the customer came to them and said, you don't exactly that deal. We're gonna spend the >>Snowflake >>Customers think crazy things happen, right? Even, even put an Oracle database in a Microsoft Azure data center, right. Would off who, what as >>Possible snowflake, >>Oracle. So on, Aw, the >>Snow, the snowflakes in the world have to make a decision. Dave on, is it all snowflake all the time? Because what the reality is, and I think, again, this comes back down to the, the track that HP could go up or down is gonna be about software. Open source is now the software industry. There's no such thing as proprietary software, in my opinion, relatively speaking, cloud scale and integrated, integrated integration software is proprietary. The workflows are proprietary. So if they can get that right with the partners, I would focus on that. I think they can tap open source, look at Amazon with open source. They sucked it up and they integrated it in. No, no. So integration is the deal, not >>Software first, but Snowflake's made the call. You were there, Lisa. They basically saying it's we have, you have to be in snowflake in order to get the governance and the scalability, all that other wonderful stuff. Oh, but we we'll do Apache iceberg. We'll we'll open it up. We'll do Python. Yeah. >>But you can't do it data clean room unless you are in snowflake. Exactly. Snowflake on snowflake. >>Exactly. >>But got it. Isn't that? What you heard from AWS all the time till they came out outposts, right? I mean, snowflake is a market leader for what they're doing. Right. So that they want to change their platform. I mean, kudos to them. They don't need to change the platform. They will be the last to change their platform to a ne to anything on premises. Right. But I think the trend already shows that it's going that way. >>Well, if you look at outpost is an signal, Dave, the success of outpost launched what four years ago, they announced it. >>What >>EKS is beating, what outpost is doing. Outpost is there. There's not a lot of buzz and talk to the insiders and the open source community, uh, EKS and containers. To your point mm-hmm <affirmative> is moving faster on, I won't say commodity hardware, but like could be white box or HP, Dell, whatever it's gonna be that scale differentiation and the edge story is, is a good one. And I think with what we're seeing in the market now it's the industrial edge. The back office was gen one cloud back office data center. Now it's hybrid. The focus will be industrial edge machine learning and AI, and they have it here. And there's some, some early conversations with, uh, I heard it from, uh, this morning, you guys interviewed, uh, uh, John Schultz, right? With the world economic 4k birth Butterfield. She was amazing. And then you had Justin bring up a Hoar, bring up quantum. Yes. That is a differentiator. >>HP. >>Yes. Yeah. You, they have the computing shops. They had the R and D can they bring it to the table >>As, as HPC, right. To what they Schultz for of uh, the frontier system. Right. So very impressed. >>So the ecosystem is the key for them is because that's how they're gonna fill the gaps. They can't, they can't only, >>They could, they could high HPC edge piece. I wouldn't count 'em out of that game yet. If you co-locate a box, I'll use the word box, particularly at a telco tower. That's a data center. Yep. Right. If done properly. Yep. So, you know, what outpost was supposed to do actually is a hybrid opportunity. Aruba >>Gives them a unique, >>But the key thing is right. It's a yin and yang, right? It's the ecosystem it's partners to bring those software workload. Absolutely. Right. But HPE has to keep the platform attractive enough. Right. And the key thing there is that you have this workload capability thing that you can bring things, which you've built yourself. I mean, look at the telcos right. Network function, visualization, thousands of man, years into these projects. Right. So if I can't bring it to your edge box, no, I'm not trying to get to your Xbox. Right. >>Hold I gotta ask you since in the Dave too, since you guys both here and Lisa, you know, I said on the opening, they have serious customers and those customers have serious problems, cyber security, ransomware. So yeah. I teach transformation now. Industrial transformation machine learning, check, check, check. Oh, sounds good. But at the end of the day, their customers have some serious problems. Right? Cyber, this is, this is high stakes poker. Yeah. What do you think HP's position for in the security? You mentioned containers, you got all this stuff, you got open source, supply chain, you have to left supply chain issues. What is their position with security? Cuz that's the big one. >>I, I think they have to have a mature attitude that customers expect from HPE. Right? I don't have to educate HP on security. So they have to have the partner offerings again. We're back at the ecosystem to have what probably you have. So bring your own security apart from what they have to have out of the box to do business with them. This is why the shocker this morning was back up in recovery coming. <laugh> it's kind like important for that. Right? Well >>That's, that's, that's more ransomware and the >>More skeleton skeletons in the closet there, which customers should check of course. But I think the expectations HP understands that and brings it along either from partner or natively. >>I, I think it's, I think it's services. I think point next is the point of integration for their security. That's why two thirds is software and services. A lot of that is services, right? You know, you need security, we'll help you get there. We people trust HP >>Here, but we have nothing against point next or any professional service. They're all hardworking. But if I will have to rely on humans for my cyber security strategy on a daily level, I'm getting gray hair and I little gray hair >>Red. Okay. I that's, >>But >>I think, but I do think that's the camera strategy. I mean, I'm sure there's a lot of that stuff that's beginning to be designed in, but I, my guess is a lot of it is services. >>Well, you got the Aruba. Part of the booth was packed. Aruba's there. You mentioned that earlier. Is that good enough? Because the word zero trust is kicked around a lot. On one hand, on the other hand, other conversations, it's all about trust. So supply chain and software is trusting trust, trust and verified. So you got this whole mentality of perimeter gone mentality. It's zero trust. And if you've got software trust, interesting thoughts there, how do you reconcile zero trust? And then I need trust. What's what's you? What are you seeing older on that? Because I ask people all the time, they're like, uh, I'm zero trust or is it trust? >>Yeah. The middle ground. Right? Trusted. The meantime people are man manipulating what's happening in your runtime containers. Right? So, uh, drift control is a new password there that you check what's in your runtime containers, which supposedly impenetrable, but people finding ways to hack them. So we'll see this cat and mouse game going on all the time. Yeah. Yeah. There's always gonna be the need for being in a secure, good environment from that perspective. Absolutely. But the key is edge has to be more than Aruba, right? If yeah. HV goes away and says, oh yeah, we can manage your edge with our Aruba devices. That's not enough. It's the virtual probability. And you said the important thing before it's about the data, right? Because the dirty secret of containers is yeah, I move the code, but what enterprise code works without data, right? You can't say as enterprise, okay, we're done for the day check tomorrow. We didn't persist your data, auditor customer. We don't have your data anymore. So filling a way to transport the data. And there just one last thought, right? They have a super interesting asset. They want break lands for the venerable map R right. Which wrote their own storage drivers and gives you the chance to potentially do something in that area, which I'm personally excited about. But we'll see what happens. >>I mean, I think the holy grail is can I, can I put my data into a cloud who's ever, you know, call it a super cloud and can I, is it secure? Is it governed? Can I share it and be confident that it's discoverable and that the, the person I give it to has the right to use it. Yeah. And, and it's the correct data. There's not like a zillion copies running. That's the holy grail. And I, I think the answer today is no, you can, you can do that maybe inside of AWS or maybe inside of Azure, look maybe certainly inside of snowflake, can you do that inside a GreenLake? Well, you probably can inside a GreenLake, but then when you put it into the cloud, is it cross cloud? Is it really out to the edge? And that's where it starts to break down, but that's where the work is to be done. That's >>The one Exide is in there already. Right. So men being men. Yeah. >>But okay. But it it's in there. Yeah. Okay. What do you do with it? Can you share that data? What can you actually automate governance? Right? Uh, is that data discoverable? Are there multiple copies of that data? What's the, you know, master copy. Here's >>A question. You guys, here's a question for you guys analyst, what do you think the psychology is of the CIO or CSO when HP comes into town with GreenLake, uh, and they say, what's your relationship with the hyperscalers? Cause I'm a CIO. I got my environment. I might be CapEx centric or Hey, I'm open model. Open-minded to an operating model. Every one of these enterprises has a cloud relationship. Yeah. Yeah. What's the dynamic. What do you think the psychology is of the CIO when they're rationalizing their, their trajectory, their architecture, cloud, native scale integration with HPE GreenLake or >>HP service. I think she or he hears defensiveness from HPE. I think she hears HPE or he hears HPE coming in and saying, you don't need to go to the cloud. You know, you could keep it right here. I, I don't think that's the right posture. I think it should be. We are your cloud. And we can manage whether it's OnPrem hybrid in AWS, Azure, Google, across those clouds. And we have an edge story that should be the vision that they put forth. That's the super cloud vision, but I don't hear it >>From these guys. What do you think psycho, do you agree with that? >>I'm totally to make, sorry to be boring, but I totally agree with, uh, Dave on that. Right? So the, the, the multi-cloud capability from a trusted large company has worked for anybody up and down the stack. Right? You can look historically for, uh, past layers with cloud Foundry, right? It's history vulnerable. You can look for DevOps of Hashi coop. You can look for database with MongoDB right now. So if HPE provides that data access, right, with all the problems of data gravity and egres cost and the workability, they will be doing really, really well, but we need to hear it more, right. We didn't hear much software today in the keynote. Right. >>Do they have a competitive offering vis-a-vis or Azure? >>The question is, will it be an HPE offering or will, or the software platform, one of the offerings and you as customer can plug and play, right. Will software be a differentiator for HP, right. And will be close, proprietary to the point to again, be open enough for it, or will they get that R and D format that, or will they just say, okay, ES MES here on the side, your choice, and you can use OpenShift or whatever, we don't matter. That's >>The, that's the key question. That's the key question. Is it because it is a competitive strategy? Is it highly differentiated? Oracle is a highly differentiated strategy, right? Is Dell highly differentiated? Eh, Dell differentiates based on its breadth. What? >>Right. Well, let's try for the control plane too. Dell wants to be an, >>Their, their vision is differentiated. Okay. But their execution today is not >>High. All right. Let me throw, let me throw this out at you then. I'm I'm, I'm sorry. I'm I'm HPE. I wanna be the glue layer. Is that, does that fly? >>What >>Do you mean? The group glue layer? I'll I wanna be, you can do Amazon, but I wanna be the glue layer between the clouds and our GreenLake will. >>What's the, what's the incremental value that, that glue provides, >>Provides comfort and reliability and control for the single pane of glass for AWS >>And comes back to the data. In my opinion. Yeah. >>There, there there's glue levels on the data level. Yeah. And there's glue levels on API level. Right. And there's different vendors in the different spaces. Right. Um, I think HPE will want to play on the data side. We heard lots of data stuff. We >>Hear that, >>But we have to see it. Exactly. >>Yeah. But it's, it's lacking today. And so, Hey, you know, you guys know better than I APIs can be fragile and they can be, there's a lot of diversity in terms of the quality of APIs and the documentation, how they work, how mature they are, what, how, what kind of performance they can provide and recoverability. And so just saying, oh wow. We are living the API economy. You know, the it's gonna take time to brew, chime in here. Hi. >><laugh> oh, so guys, you've all been covering HPE for a long time. You know, when Antonio stood up on stage three years ago and said by 2022, and here we are, we're gonna be delivering everything as a service. He's saying we've, we've done it, but, and we're a new company. Do you guys agree with that? >>Definitely. >>I, yes. Yes. With the caveat, I think, yes. The COVID pandemic slowed them down a lot because, um, that gave a tailwind to the hyperscalers, um, because of the, the force of massive O under forecasting working at home. I mean, everyone I talked to was like, no one forecasted a hundred percent work at home, the, um, the CapEx investments. So I think that was an opportunity that they'd be much farther along if there's no COVID people >>Thought it wasn't impossible. Yeah. But so we had the old work from home thing right. Where people trying to get people fired at IBM and Yahoo. Right. So I would've this question covering the HR side and my other hat on. Right. And I would ask CHS let's assume, because I didn't know about COVID shame on me. Right. I said, big California, earthquake breaks. Right. Nobody gets hurt, but all the buildings have to be retrofitted and checked for seism logic down. So everybody's working from home, ask CHS, what kind of productivity gap hit would you get by forcing everybody working from home with the office unsafe? So one, one gentleman, I won't know him, his name, he said 20% and the other one's going ha you're smoking. It's 40 50%. We need to be in the office. We need to meet it first night. And now we went for this exercise. Luckily not with the California. Right. Well, through the price of COVID and we've seen what it can do to, to productivity well, >>The productivity, but also the impact. So like with all the, um, stories we've done over two years, the people that want came out ahead were the ones that had good cloud action. They were already in the cloud. So I, I think they're definitely in different company in the sense of they, I give 'em a pass. I think they're definitely a new company and I'm not gonna judge 'em on. I think they're doing great. But I think pandemic definitely slowed 'em down that about >>It. So I have a different take on this. I think. So we've go back a little history. I mean, you' said this, I steal your line. Meg Whitman took one for the Silicon valley team. Right. She came in. I don't think she ever was excited that I, that you said, you said that, and I think you wrote >>Up, get tape on that one. She >>Had to figure out how do I deal with this mess? I have EDS. I got PC. >>She never should have spun off the PC, but >>Okay. But >>Me, >>Yeah, you can, you certainly could listen. Maybe, maybe Gerstner never should have gone all in on services and IBM would dominate something other than mainframes. They had think pads even for a while, but, but, but so she had that mess to deal with. She dealt with it and however, they dealt with it, Antonio came in, he, he, and he said, all right, we're gonna focus the company. And we're gonna focus the mission on not the machine. Remember those yeah. Presentations, but you just make your eyes glaze over. We're going all in on Azure service >>And edge. He was all on. >>We're gonna build our own cloud. We acquired Aruba. He made some acquisitions in HPC to help differentiate. Yep. And they are definitely a much more focused company now. And unfortunately I wish Antonio would CEO in 2015, cuz that's really when this should have started. >>Yeah. And then, and if you remember back then, Dave, we were interviewing Docker with DevOps teams. They had composability, they were on hybrid really early. I think they might have even coined the term hybrid before VMware tri-state credit for it. But they were first on hybrid. They had DevOps, they had infrastructure risk code. >>HPE had an HP had an awesome cloud team. Yeah. But, and then, and then they tried to go public cloud. Yeah. You know, and then, you know, just made them, I mean, it was just a mess. The focus >>Is there. I give them huge props. And I think, I think the GreenLake to me is exciting here because it's much better than it was two years ago. When, when we talked to, when we started, it's >>Starting to get real. >>It's, it's a real thing. And I think the, the tell will be partners. If they make that right, can pull their different >>Ecosystem, >>Their scale and their customers and fill the software gas with partners mm-hmm <affirmative> and then create that integration opportunity. It's gonna be a home run if they don't do that, they're gonna miss the operating, >>But they have to have their own to your point. They have to have their own software innovation. >>They have to good infrastructure ways to build applications. I don't wanna build with somebody else. I don't wanna take a Microsoft stack on open source stack. I'm not sure if it's gonna work with HP. So they have to have an app dev answer. I absolutely agree with that. And the, the big thing for the partners is, which is a good thing, right? Yep. HPE will not move into applications. Right? You don't have to have the fear of where Microsoft is with their vocal large. Right. If AWS kind of like comes up with APIs and manufacturing, right. Google the same thing with their vertical push. Right. So HPE will not have the CapEx, but >>Application, >>As I SV making them, the partner, the bonus of being able to on premise is an attractive >>Part. That's a great point. >>Hold. So that's an inflection point for next 12 months to watch what we see absolutely running on GreenLake. >>Yeah. And I think one of the things that came out of the, the last couple events this past year, and I'll bring this up, we'll table it and we'll watch it. And it's early in this, I think this is like even, not even the first inning, the machine learning AI impact to the industrial piece. I think we're gonna see a, a brand new era of accelerated digital transformation on the industrial physical world, back office, cloud data center, accounting, all the stuff. That's applications, the app, the real world from space to like robotics. I think that HP edge opportunity is gonna be visible and different. >>So guys, Antonio Neri is on tomorrow. This is only day one. If you can imagine this power panel on day one, can you imagine tomorrow? What is your last question for each of you? What is your, what, what question would you want to ask him tomorrow? Hold start with you. >>How is HPE winning in the long run? Because we know their on premise market will shrink, right? And they can out execute Dell. They can out execute Lenovo. They can out Cisco and get a bigger share of the shrinking market. But that's the long term strategy, right? So why should I buy HPE stock now and have a good return put in the, in the safe and forget about it and have a great return 20 years from now? What's the really long term strategy might be unfair because they, they ran in survival mode to a certain point out of the mass post equipment situation. But what is really the long term strategy? Is it more on the hardware side? Is it gonna go on the HPE, the frontier side? It's gonna be a DNA question, which I would ask Antonio. >>John, >>I would ask him what relative to the macro conditions relative to their customer base, I'd say, cuz the customers are the scoreboard. Can they create a value proposition with their, I use the Microsoft 365 example how they kind of went to the cloud. So my question would be Antonio, what is your core value proposition to CIOs out there who want to transform and take a step function, increase for value with HPE? Tell me that story. I wanna hear. And I don't want to hear, oh, we got a portfolio and no, what value are you enabling your customers to do? >>What and what should that value be? >>I think it's gonna be what we were kind of riffing on, which is you have to provide either what their product market fit needs are, which is, are you solving a problem? Is it a pain point is a growth driver. Uh, and what's the, what's that tailwind. And it's obviously we know at cloud we know edge. The story is great, but what's the value proposition. But by going with HPE, you get X, Y, and Z. If they can explain that clearly with real, so qualitative and quantitative data it's home >>Run. He had a great line of the analyst summit today where somebody asking questions, I'm just listening to the customer. So be ready for this Steve jobs photo, listening to the customer. You can't build something great listening to the customer. You'll be good for the next quarter. The next exponential >>Say, what are the customers saying? <laugh> >>So I would make an observation. And my question would, so my observation would be cloud is growing collectively at 35%. It's, you know, it's approaching 200 billion with a big, big four. If you include Alibaba, IBM has actually said, Hey, we're gonna gr they've promised 6% growth. Uh, Cisco I think is at eight or 9% growth. Dow's growing in double digits. Antonio and HPE have promised three to 4% growth. So what do you have to do to actually accelerate growth? Because three to 4%, my view, not enough to answer Holger's question is why should I buy HPE stock? Well, >>If they have product, if they have customer and there's demand and traction to me, that's going to drive the growth numbers. And I think the weak side of the forecast means that they don't have that fit yet. >>Yeah. So what has to happen for them to get above five, 6% growth? >>That's what we're gonna analyze. I mean, I, I mean, I don't have an answer for that. I wish I had a better answer. I'd tell them <laugh> but I feel, it feels, it feels like, you know, HP has an opportunity to say here's the new HPE. Yeah. Okay. And this is what we stand for. And here's the one thing that we're going to do that consistently drives value for you, the customer. And that's gonna have to come into some, either architectural cloud shift or a data thing, or we are your store for blank. >>All of the above. >>I guess the other question is, would, would you know, he won't answer a rude question, would suspending things like dividends and stock buybacks and putting it into R and D. I would definitely, if you have confidence in the market and you know what to do, why wouldn't you just accelerate R and D and put the money there? IBM, since 2007, IBM spent is the last stat. And I'm looking go in 2007, IBM way, outspent, Google, and Amazon and R and D and, and CapEx two, by the way. Yep. Subsequent to that, they've spent, I believe it's the numbers close to 200 billion on stock buyback and dividends. They could have owned cloud. And so look at this business, the technology business by and large is driven by innovation. Yeah. And so how do you innovate if >>You have I'm buying, I'm buying HP because they're reliable high quality and they have the outcomes that I want. Oh, >>Buy their products and services. I'm not sure I'd buy the stock. Yeah. >>Yeah. But she has to answer ultimately, because a public company. Right. So >>Right. It's this job. Yeah. >>Never a dull moment with the three of you around <laugh> guys. Thank you so much for sharing your insights, your, an analysis from day one. I can't imagine what day two is gonna bring tomorrow. Debut and I are gonna be anchoring here. We've got a jam packed day, lots going on, hearing from the ecosystem from leadership. As we mentioned, Antonio is gonna be Tony >>Alma Russo. I'm dying. Dr. >>EDMA as well as on the CTO gonna be another action pack day. I'm excited for it, guys. Thanks so much for sharing your insights and for letting me join this power panel. >>Great. Great to be here. >>Power panel plus me. All right. For Holger, John and Dave, I'm Lisa, you're watching the cube our day one coverage of HPE discover wraps right now. Don't go anywhere, cuz we'll see you tomorrow for day two, live from Vegas, have a good night.

>> I've got Madhav Mekala here with me, commerce architect at PepsiCo Madhav welcome to the program. >> Thank you Lisa. >> So we're going to be talking about the solution that you implemented that helped with the global supply chain. So let's talk first about your role, commerce architect. Help me understand that a little bit better. >> So Frito-Lay PepsiCo is pretty big. It's a conglomerate of multiple product lines. So I worked for Frito-Lay, which is basically all the salty snacks and then we have a Quaker products as well in our portfolio. So I oversee all the architecture for all the commercial IoT solutions in the FNA portfolio. >> Got it all the commercial lines. So we all know the last 18 months major challenges with the global supply chain component shortages, we've seen a huge increase in the cost of raw materials, limited labor, but you guys actually started to tackle this challenge before the pandemic happened. So talk to me about the catalyst that PepsiCo, what you saw to modernize field service and supply chain application. >> Yeah, so we have a pretty old system that our field force, our frontline users are using. So we have a world-class supply chain system where we go into the stores and place orders and deliver products throughout the U.S. And then we penetrate, I think, more than 95% of the households with our products. So we need to have a robust supply chain as well as a good frontline sales application, to be able to manage the orders, and be able to deliver the products, right? So the system that we have is almost 20 year old system running on a very outdated technology. We've been trying to replace that for a while now. And finally, we started this early last year to completely replace the solution with a brand new IPhone based app. And then that gives our frontline the ability to go place orders, do deliveries to retail execution in the store like check-in check-out, bill displays. There are so much functionality that our RSRs or frontline users do in the stores and this app enables them to do much more efficiently. >> And we're going to break into that, but you mentioned you had a 20 year old technology. Talk to me about some of the challenges that that likely presented to those frontline workers. >> Yeah. I mean, there are multiple challenges for one, we cannot enable new business models. So business wants to come up with new ideas for, to be able to implement in the field, but with our system being so old, it's so hard to implement anything on that one. And then even the physical device is not scaling. We had a lot of memory issues, so it's time for it to kind of retire, but also the technology we use the 3G technology is retiring pretty soon at the next year. So we were definitely need to move to a new solution. And this is one of the must things we have to do right away. So that's where we started the project and we are in pilot phase right now. >> What would have been some of those negative consequences, had you not undertaken the effort? I imagine from a competitive perspective, knowing how much competition is out there, what would some of those challenges have been if this had persisted? >> Yeah, so one is the stability of the application, right? So the frontline users have to spend more time because the app is not stable, the current one. So that reduces the efficiency of our Salesforce. Right? And then on the other hand, we also not able to put new features or new business models enable new business models on top of the existing ones. So we are losing out on some of them because of our outdated system. So that's one thing we want to solve with the new one. >> So this is really critical to really evolve PepsiCo's business at, at its baseline, right? >> That's true. Yeah. It is very critical application that we are building and this will enable us to do a lot more things in future. And we can come up with new ideas, including like virtual reality or connecting to multiple systems. There are so many new ideas that we want to enable once we have this in place. >> Awesome. Talk to me about why Couchbase and then tell us more about, you started to talk a little bit about the solution, but let's go ahead and dig in and unpack the actual solution that you implemented. >> Yeah. So this is, eh, we call it an ERP and a mobile device because it has so much functionality as a company Frito-Lay, we have been over a hundred years in this business, right? We have so many optimized process that we have that kind of led to some digility in the system because we want to do in a particular way, because that's the best way to do it as part of our business process. So what we're trying to do here is take that business process and also provide an app that will enhance it and then connect to more, more systems. So that's what we are trying to do here. And then on top of that one, we will replace all the existing peripherals that we use with the new technology, like Bluetooth and all so that, they are much more faster and they slot more productive for our frontline force. >> Sounds like a lot of sales folks are going to to be a lot more productive. Talk to me about where Couchbase is as an integral component to this new system. >> Yeah. So one of the key requirements for this app is offline mode. What that means is one of our other salesforce who go from our system from our DC to other stores, should be able to run the whole day without any major disruption, even if they're not connected, let's say because when they go into big stores, typically there's no connection there all metal boxes. So the cellular reception is not there, but most of our work that we do from our frontline is within the store. So it has to be a full offline where we have to have all the data within the device and we should be able to place orders, create inventory that records or adjust inventory, and then create invoices. All the majority of the things that we do are in the store and they should be able to do without the connection. So that's where we explored multiple options and kind of zeroed in on Couchbase where we bring all the data into Couchbase database on the device and then sync it when there is connection, but there's no connection, we still have all the data on the device and we can go do all of our duties in the stores without any issues, even if it is not connected. >> So the sales folks can be in the stores with their mobile device, doing all the transactions that they need to do with the stores, regardless of if there's connectivity. Talk to me about what happens when they get back to connectivity in that and the Couchbase database sync. >> Yeah. And the other big thing we want is instant connect. I mean, when there's connectivity, we want instant sync with the backend, right? If there's new data that comes, we need that in the device. At the same time, if I place an order, I want to send it back immediately to our backend systems so that our fulfillment starts for those. So that's very critical when we have a lot of cutoff times for our orders. So we need order as soon as we've placed to be going into the backend systems. So what happens when it gets connected, as soon as the sales folks come out of the store or when, within the story they could connectivity the Couchbased technology that we are using using the sync gateway immediately syncs the data back and forth if there's any new data that's available. So that is key for us in this particular app. >> So our transactions happening in real time or near real time. >> Yeah. So the data flow happens in real time when there's connectivity, but when it is not connected still, it doesn't have any issue with the actual transactions with the RSR that can go complete anything that. >> Got it. Okay. So there's no impediment there. In fact, it's a productivity enhancer. It sounds like for all of those sales folks out on the frontline. Tell us so millions of documents go through the system, tens of billions of dollars. Talk to me about the volume of data and the actual monetary value that's traversing the system. >> Yeah. It's huge, again, this is kind of the lifeline of the company. The sales are always the life of any company, right? So most of the sales for Frito-Lay goes through our system and we're talking anywhere between hundreds of thousands of documents that flow through back and forth between the Couch between the device and the server. So there's a lot of master data that comes like products price from customers, all that information that comes from the backend to the device and all the orders inventory and everything that gets created on the device gets flown sync back to the server. So yeah, I mean, it's, it's a very complex system. And also from the volume perspective, it's huge. So we had to build a massive infrastructure on the backend to be able to handle all this. One of the key feature is again, we have this massive data that we need to sync to the devices, but each device should only get the portion of the data that they want because a particular Salesforce only goes to a small set of 20 stores, let's say. So the data that we sync to that device is only for those 20 stores. So that's the key here. So Couchbase allows us to do that. The Couchbase sync, where we can subset the data into different portions and only send the data that is relevant for a particular device. >> So then from a, from a latency perspective, it must be pretty low latency, pretty fast to be able to get this data back to the device and to the sales person that is in the middle of a transaction. >> Yes. I mean, it's pretty, the sink is very fast. The Couchbase sync, especially user's web sockets. And we do continuous replicators where if I complete an order, the next instant it's on the server. So it's, it's we observed the speeds improved a lot. So the technology that we are using uses syncs for a long, long time compared to Couchbase, and that's another productivity gain for our Salesforce. >> What were some of the differentials? You mentioned some of the technology requirements that PepsiCo had in rearchitecting, the infrastructure, but what were some of the key technology differentiators that really made Couchbase stand out as the obvious choice? >> Yeah, so we, when we started this project, we all know the sink is the key for this whole project, because we thought the data going back and forth, we cannot really build a robust offline app. So we looked at multiple options, other providers that are doing the sync. And we also looked at building our own sink, in-house using APIs, but then we did lots of performance testing across all the options that we had at that time. And then Couchbase came above all of them pretty handily. So obviously we can coach base takes care of the sync, and then we can focus on our business process. So we can go build all the business process and not worry about how to build the syncing engine. And then that is itself a big effort. So that's what Couchbase provided us saying a instant sync engine. And then we were able to focus more on our, the app applicants, the frontline application, the sensor application. >> And those business processes. Let's talk about some of the business outcomes. We've mentioned a few already in our conversation, increased in productivity, the sales forces increased in that as well. But I imagine there's a lot of benefits for the end-user customer in terms of being able to get the transactions completed faster. What are some of those positive business outcomes that PepsiCo is seeing as a result of implementing Couchbase? >> Yeah. So you hit on a couple of them that the sync times are definitely a big factor where that will directly give more time for the sales folks to go either go to most stores, or even if they go to the existing stores, they can do more, spend more time with the customer merchandising and making sure everything is correct. So that's one, also the new app users connect with a lot of new peripherals that are not available on the previous platform. Also, the, our folks are very enthusiastic about using a new app, right? So it's like coming into the 21st century for them using such an old lab for a long time. So a lot of things that they see, they can see the images of the bags while ordering, which was not a feature earlier. Some of them are small, but they make a huge impact on our users. So, yeah, I mean, and then this is just a start that we are doing. And then once we are able to completely implement this one, we have a lot more going into, in future. I was just talking about, we can do virtual reality or show them how to sell using virtual reality. We can show a display to a store manager saying, 'Hey, I want to put a display here. And this is how it looks,' they can show it on the phone directly, than just explaining and showing some paper images. So there's a lot of possibilities. >> A lot of improvements to the customer experience. It sounds like, it sounds like adoption is quite high for your folks who are used to 20 year old technology, probably being very excited that they have a modern app. But talk to me a little bit about the appetite of the organization to continue modernizing the application infrastructure and presuming going from older technology to that 21st century, like you talked about. >> Yeah. So in other parts, we are already modernized some of these. So we have been on the journey for the last four, five years building multiple digital platforms. So one of the examples I can give is when COVID hit, there's a lot of disruption for everybody, for the consumers, so they are not able to find the products in the stores, a lot people are afraid to go to the stores to even buy products. So we reacted very quickly and opened a consumer website called snacks.com, which Pepsi never sold it to consumer directly. We always go through our stores, but the first time we open the consumer channel and Couchbase powered some of it for the backend purpose. So this is not a mobile app, it's just a desktop app, but we already have been on the digital transmission journey, even before we quickly turn into COVID for the snacks.com. And similarly, we are, doing this for our retail execution, portion of it using this project. So, and then we'll be continuing to do this going forward to enable a lot of functionality for I mean, for all of our sales, as well as supply chain and other systems, so that we can be more efficient. We can be more elastic saying if there is more demand, our backend should be able to handle all that, which was not the case before. So now we've built a state of the art backend system on cloud. So there's a lot of transmission, digital transmission going on within PepsiCo. And I'm really proud to be part of this project so that we took this to the next level. And then this is just a start. We can do a lot more. >> Right? This is just the beginning. That sounds like a great transformation for a historied company that we all, everybody knows PepsiCo and all of its products. But it sounds like when the pandemic hit, you had the infrastructure in place to be able to pivot quickly to launch that direct to consumer, which of course consumers, patience has been quite thin in the last year and a half. Talk to me a little bit about the impact to the overall organization as a result of being able to, to get more direct with those consumers. >> Yeah. So till now, again, we are the business model is we sell to the stores and then go customer. So we'd never get a direct sense of what consumer liking is. I mean, we get through some surveys and stuff, but we don't have a direct channel to the consumer, which this particular project enabled us snacks.com. So we know the consumer behavior, how they buying patterns, browsing patterns, which ones they like and including with geography and all so we learned a lot from the consumer behavior point of view for the project. And then we kept on enhancing. So one new thing we introduced was called Multipack where the consumers can come and pick, make their own Multipacks basically. They can say, okay, I need these many of this particular product, this particular product and make their Multipack and we ship them the customized Multipack. And it was, such a huge hit that we are not able to even fulfill them so much demand was there for that one, so we had to revamp and then get back. And now it's a huge thing on all the snacks.com platform. So all of this is possible because we had a digital platform underneath that supports this kind of innovation. So the new business models are just coming to life in within weeks or even few months and that's what we will be trying to do with the new platform that we're building for this app as well, where we'll bring in lot of new business models on top of we have already. >> Excellent, a lot of transformation it sounds like at PepsiCo in the last couple of years, I love the customization, that personalization route that you're going and I think that's going to be a huge hit for consumers. And as you said, there's a lot of demand , Madhav thank you for joining me today, talking about how you are modernizing the field service and supply chain application, the impact it's making for end users for your customers and for the sales folks. We appreciate your time. >> Thank you so much Lisa. >> From McCalla. I'm Lisa Martin. You're watching this Cube conversation.

>>I've got Mada Mykola here with me, commerce architect at PepsiCo Mada. Welcome to the program, >>Lisa. >>So we're going to be talking about the solution that you implemented, um, that helped with the global supply chain. So let's talk though, first about your role commerce architect. Help me understand that a little bit better. >>So Frito, uh, PepsiCo is pretty big. It's a conglomerate of multiple product lines. So I worked for Frito-Lay, which is basically all the salty snacks. And then we have, uh, the Quaker products as well in our portfolio. So I oversee all the architecture for all the commercial IOT solutions, uh, in the CFNA portfolio. >>Got it all the commercial lines. So we all know the last 18 months major challenges with the global supply chain component shortages. We've seen a huge increase in the cost of raw materials, um, limited labor, but you guys actually started to tackle this challenge before the pandemic happened. So talk to me about the catalyst that PepsiCo, what you saw to modernize field service and supply chain application. >>Yeah, so we have a pretty old system that our field force, our frontline users are using. So we have a world-class supply chain system where we go into the stores and place orders and deliver products, the us, and then we penetrate, I think, more than 95% of the households with our products. So we need to have a robust supply chain as well as a good frontline sales application, to be able to manage the orders and be able to deliver the products. Right? So the system that we have is almost 20 year old system running on a video data technology. There've been trying to replace that for a while now. And finally, we started this, uh, early last year to completely replace the solution with a brand new iPhone based app. Uh, and then that gives our frontline the ability to go place orders, do deliveries to retail execution in the store, like checking checkout, build displays. There are so much functionality that our RSRs or Franklin users do in the stores and this app enables them to do much more efficient. >>And we're going to break into that, but you mentioned you had a 20 year old technology. Talk to me about some of the challenges that that likely presented to those frontline workers. >>Yeah. I mean, there are multiple challenges for one, we cannot enable new business models. So business wants to come up with new ideas for, um, to be able to implement in the field, but with our system being so old, it's so hard to implement anything on that one. And then even the physical device is not scaling. We had a lot of memory issues, so it's time for it to kind of retire. And also the technology we use the 3g technologies retiring pretty soon at the next year. So we were definitely need to move to a new solution. And this is one of the most things we have to do, but right away. So that's where we started the project and we are in pilot phase right now. >>What would have been some of those negative consequences? Had you not undertaken the effort? I imagine from a competitive perspective, knowing how much competition is out there, what would some of those challenges have been if this had persisted? >>Yeah. So one is the stability of the application, right? So, uh, the frontline users have to spend more time because the app is not stable, the current one. So that reduces the efficiency of our Salesforce. Right? And then on the other hand, we also not able to put new features or new business models enable new business models on top of the existing ones. So we are losing out on some of them because of our outdated system. So that's one thing we want to solve with the new one. >>So this is really critical to really evolve PepsiCo's business at, at its baseline. Right? >>That's true. Yeah. It is very critical application that we're building and this will enable us to do a lot more things in future. And we can come up with new ideas, including like virtual reality or connecting to multiple systems. There are so many new ideas that we want to enable once we have this in place. >>Awesome. Talk to me about why Couchbase, and then tell us more about, you started to talk a little bit about the solution, but let's go ahead and dig in and unpack the actual solution that you implemented. >>Yeah. So this is, eh, we call it an ERP and a mobile device because it has so much functionality as a company three. Totally. We have been, uh, over a hundred years, uh, in this business, right. We have so many, uh, optimized process, uh, that we have that kind of led to some digital in the system because we want to do in a particular way, because that's the best way to do it as part of our business process. So what we're trying to do here is take that business process and also provide an app that will enhance it and then connect to more, more systems. So that's what we're trying to do here. And then on top of that one, we will replace all the existing peripherals that we use with the new technology, like Bluetooth and also, so that, uh, the, they are much more faster, and it's a lot more productive for our frontline force. >>Sounds like a lot of sales folks are going to be a lot more productive. Talk to me about where Couchbase is as an integral component to this new system. >>Yeah. So one of the key requirements for this app is an offline mode. What that means is, uh, one of our Salesforce who go from our system, uh, from our DC to all the stores, should be able to run the whole day without any, uh, major disruption, even if they're not connected, let's say because when they go into big stores, typically there's no connection. There are metal boxes. So the cellular reception is not there, but most of our work that we do from our frontline is within the store. So it has to be a full offline where we have to have all the data within the device, and we should be able to place artists create inventory that records or adjust inventory, and then create invoices. All the majority of the things that we do are in the store and they should be able to do without, um, the kind of connection. So that's where we explored multiple options and kind of zeroed in on Couchbase where we bring all the data into Couchbase based database on the device, and then sync it when there is connection, but there's no connection. We still have all the data on the device and we can go do all of our duties in the stores without any issues, even if it is not connected. >>So the sales folks can be in the stores with their mobile device, doing all the transactions that they need to do with the stores, regardless of if there's connectivity. Talk to me about what happens when they get back to connectivity in that and the Couchbase database sync. >>Yeah. And, uh, the other big thing we want is instant connect. I mean, when there's connectivity, we want instant sync with the backend, right? If there's new data that comes, we'll need that in the device at the same time, if I place an order, I want to send it back immediately to our backend systems for that our fulfillment stacks for those. So that's very critical when we have a lot of cutoff times for our artists. So we need artists as soon as we've placed to be going to the backend systems. So what happens when it gets connected, as soon as the sales folks come out of the store, or when within the store, they got connectivity, these codebase technology that we are using using the sync gateway immediately syncs the data back and forth. Uh, if there is any new data that's available. So that is key for us in this particular app. >>So our transactions happening in, in real time or near real time. >>Yeah. So the data flow happens in real time when this kind of gritty, but when it is not connected still, it doesn't have any issue with the actual transactions with the artists that can go complete anything that they would >>Got it. Okay. So there's no impediment there. In fact, it's a productivity enhancer. It sounds like for all of those sales folks out on the frontline TA. So, so millions of documents go through the system, tens of billions of dollars. Talk to me about the volume of data and the actual monetary value. That's traversing the system. >>Yeah. It's huge. Again, this is kind of weak. It's the lifeline of the company. The seals are always the life of any company, right? So most of the goes through our system. And, um, we're talking anywhere between hundreds of thousands of dollars that flow through back and forth, uh, between, uh, between the device and the server. So there's a lot of master data that comes like products place from customers, all that information that comes from the backend to the device and all the orders, inventory, and everything that gets created on the device gets flown back to the subtler. So yeah, I mean, it's, it's a very complex system. And also from the volume perspective, it's huge. So we had to build a massive infrastructure on the backend to be able to handle all this. One of the key feature is again, we have this massive data that we need to sync to the devices, but each device should only get the portion of the data that they want because a particular Salesforce only goes to a small set of 20 stores, let's say. So the data that we seem to that device is only for those 20 stores. So that's the key here. So Couchbase allows us to do that. The codebase sync, where we can subset the data into different portions and only send the data that is relevant for a particular device. >>So then from a, from a latency perspective, it must be pretty low latency, pretty fast to be able to get this data back to the device and to the sales person that is in the middle of a transaction. >>Yes. Uh, I mean, it's pretty, the sink is very fast. The Cosby's sink, especially user's web sockets. And we do continuous replicators where if I complete an order, the next instant it's on the stairwell. So it's, it's we observed the speeds improve a lot. So the technology that we are using users are things for a long, long time compared to code based. And that's another productivity gain for our Salesforce. >>What were some of the differentials? You mentioned some of the technology requirements that PepsiCo had in rearchitecting, the infrastructure, but what were some of the key technology differentiators that really made Couchbase stand out as the obvious choice? >>Yeah, so we, when we started this project, we all know the sink is the key for this whole project, because we thought that data going back and forth, we cannot really build a robust, um, uh, offline app. So we looked at multiple, uh, options, other providers that are doing the sink. And we also looked at building our own sink. Uh, in-house using API APIs, but then we did lots of, uh, performance testing across all the, uh, options that we had at that time. And then Ottawa cost base came above. All of them are pretty handle it. So obviously we can coach base takes care of the sink, and then we can focus on our business process. So we can go build all the business process and not worry about how we build a single. And then that is itself a big effort. So that's what caught me is prior to seeing instant sync engine. And then we were able to focus more on our, uh, the app application, the frontline application, the sales application, >>And those business processes. Let's talk about some of the business outcomes. We've mentioned a few already in our conversation, increased in productivity. The sales forces increased in that as well, but I imagine there's a lot of benefits for the end-user customer in terms of being able to get the transactions completed faster. What are some of those positive business outcomes that PepsiCo is seeing as a result of implementing Couchbase? >>Yeah. So you hit on a couple of them when the sink times are definitely a big factor with that will directly give more time for the sales folks to go either go to most stores or even they go to the existing stores, they can do more, spend more time with the customer merchandising and making sure everything is correct. So that's one also the new app users, uh, connect with a lot of new peripherals that are not available on the previous platform. Um, also the, uh, our folks are very, uh, enthusiastic about using a new app, right? So it's like coming into the 21st century for them using such an old lab for a long time. So a lot of things that they see, they can see the images of the bags while ordering, which was not a feature earlier. Some of them are small, but they make a huge impact on our users. >>Um, so yeah, I mean, and then this is just a start that we are doing. And then once we are able to completely implement this one, we have a lot more going into, in future. I was just talking about, we can do virtual reality or show them how to sell using what filter do. We can show a display to a store manager saying, Hey, I want to put a display here. And this is how it looks. They can show it on the phone that Dan just explaining and showing some paper images. So there's a lot of possibilities, >>A lot of improvements to the customer experience. It sounds like, it sounds like adoption is quite high for your folks who are used to 20 year old technology, probably being very, uh, excited that they have a modern app. But talk to me a little bit about the appetite of the organization to continue modernizing the application infrastructure and presuming going from older technology to that 21st century, like you talked about. >>Yeah. So in other parts, we are already modernized some of these. So we have been on the journey for the last four or five years building multiple digital platforms. So one of the example I can give is when COVID hit, there's a lot of disruption for everybody, for the consumers. So they are not able to find the products in the stores, but people are afraid to go to the stores to even buy products. So we reacted very quickly and opened a consumer of a website called snacks or calm, which Pepsi never sold it to the directly. We always go through our stores, but the first time we open the consumer channel and base powered some of it for the backend purpose. So this is not a mobile app, it's just a desktop app, but we already have been on the district has mission journey even before we quickly turned into COVID for the snacks.com. >>And similarly, we are, you are doing this for our retail execution portion of it, um, using this product. So, and then we'll be continuing to do this going forward, or to enable a lot of functionality for, uh, I mean, for all of our sales, as well as, uh, supply chain and other systems, so that we can be more efficient. We can be more elastic saying if there is more demand, our backend should be able to handle all that, uh, which was not the case before extra. Now we built a state of the art backend system on cloud. So there's a lot of transmission, digital transmission going on within PepsiCo. And I'm really proud to be part of this project so that we took this to the next level. And then this is just a start. We can do a lot more, >>Right? This is just the beginning. That sounds like a great transformation for a history company that we all, everybody knows PepsiCo and all of its products. But it sounds like when the pandemic hit, you had the infrastructure in place to be able to pivot quickly to launch that direct to consumer, which of course consumers, patients has been quite thin in the last year and a half. Talk to me a little bit about the impact to the overall organization as a result of being able to, to get more direct with those consumers. >>Yeah. So till now, again, we are, the business model is we sell to the stores and then go to the customer. So we'd never get a direct, uh, sense of what consumer, uh, liking is. I mean, we get through some surveys and stuff, but we don't have a direct channel with the consumer, which this particular product enabled us next.com. So we know the consumer behavior, how they, um, buying patterns, browsing patterns, which ones they like and including with geography. And also we learned a lot from a consumer behavior point of view for the project. And then we kept on enhancing. So one new thing we introduced was called multipack where the consumers can come and make their own market practices. They can say, okay, I need this many of this particular product, this product per I can make that multipack. And we ship them the customized market back. >>And it was such a huge hit that we are not able to even fulfill them so much demand was there for that one. So we had to revamp and then get back. And now it's a huge thing on our snacks that complex. So all of this is possible because we had a digital platform underneath that supports this kind of innovation. So the new business models are just coming to life in within weeks or even few months. And that's what we will be trying to do with the new platform that could billing for this app as well, where we'll bring in a lot of new business models. We have >>Excellent, a lot of, uh, transformation. It sounds like at PepsiCo in the last couple of years, I'd love the customization, that personalization route that you're going. I think that's going to be a huge hit for consumers. And as you said, there's a lot of demand letter. Thank you for joining me today, talking about how you are modernizing the field service and supply chain application, the impact it's making for end users for your customers and for the sales folks. We appreciate your time. >>Thank you so much >>From out of McCullough. I'm Lisa Martin. You're watching this cube conversation.

>>from >>around the >>globe, it's the >>cube with digital >>coverage of IBM, >>Think 2021 >>brought to you by IBM. Welcome back to the cubes coverage of IBM Think 2021 virtual, I'm john for your host of the cube, had a great line up here talking sustainability. Kary musa ph d general manager of AI applications and block chains, career great to see you and wayne both the vice president of corporate environmental affairs and chief sustainability officer, among other things involved in the products around that. Wait and korean, great to see you. Thanks for coming on. >>Thank you for having us. >>Well, I'll start with you. What's driving? IBMS investment sustainability as a corporate initiative. We know IBM has been active, we've covered this many times, but there's more drivers now as IBM has more of a larger global scope and continues to do that with hybrid cloud, it's much more of a global landscape. What's driving today's investments in sustainability, >>you know, johN what drives IBM in this area has always been a longstanding, mature and deep seated belief in corporate responsibility. That's the bedrock foundation. So, you know, IBM is 100 10 year old company. We've always strived to be socially responsible, But what's not as well known is that for the last 50 years, IBM has truly regarded environmental sustainability is a strategic imperative. Okay, It's strategic because hey, environmental problems require a strategic fix. It's long term imperative because you have to be persistent with environmental problems, you don't necessarily solve them overnight. And it's imperative because business cannot succeed in a world of environmental degradation, that really is the main tenant of sustainable development. You can't have successful economies with environmental degradation, you can't solving environmental problems without successful economies. So, and IBM's case as a long standing company, We were advantaged because 50 years ago our ceo at the time, Tom Watson put in place the company's first policy for environmental, our stewardship and we've been at it ever since. And he did that in 1971 and that was just six months after the U. S. C. P. A. Was created. It was a year before the Stockholm Conference on the Environment. So we've been added for that long. Um in essence really it's about recognizing that good environmental management makes good business sense. It's about corporate responsibility and today it's the E of E. S. G. >>You know, wayne. That's a great call out, by the way, referencing thomas Watson that IBM legend. Um people who don't may not know the history, he was really ahead of its time and that was a lot of the culture they still see around today. So great to see that focus and great, great call out there. But I will ask though, as you guys evolved in today's modern error. How is that evolved in today's focus? Because you know, we see data centers, carbon footprint, global warming, you now have uh A I and analytics can measure everything. So I mean you can you can measure everything now. So as the world gets larger in the surface area of what is contributing to the sustainable equation is larger, what's the current IBM focus? >>So, you know, these days we continually look at all of the ways in which IBM s day to day business practices intersect with any matter of the environment, whether it's materials waste water or energy and climate. And IBM actually has 21 voluntary goals that drive us towards leadership. But today john as you know, uh the headline is really climate change and so we're squarely focused like many others on that. And that's an imperative. But let me say before I just before I briefly tell you our current goals, it's also important to have context as to where we have been because that helps people understand what we're doing today. And so again, climate change is a topic that the men and women of IBM have paid attention to for a long time. Yeah, I was think about it. It was back in 1992 that the U. S. C. P. A. Created something called Energy Star. People look at that and they say, well, what's that all about? Okay, that's all about climate change. Because the most environmentally friendly energy you can get is the energy that you don't really need to consume. IBM was one of eight companies that helped the U. S. C. P. A. Launched that program 1992. Today we're all disclosing C. 02 emissions. IBM began doing that in 1994. Okay. In 2007, 13 years ago, I'd be unpublished. Its position on climate change, calling for urgent action around the world. We supported the Paris agreement 2015. We reiterated that support in 2017 for the us to remain a partner. 2019, we became a founding member of Climate Leadership Council, which calls for a carbon tax and a carbon dividend. So that's all background context. Today, we're working on our third renewable electricity goal, our fifth greenhouse gas emissions reduction goal and we set a new goal to achieve net zero greenhouse gas emissions. Each of those three compels IBM to near term >>action. That's awesome wayne as corporate environmental affairs and chief sustainable, great vision and awesome work. Karim dr Karim use if I wanna. We leave you in here, you're the general manager. You you've got to make this work because of the corporate citizenship that IBM is displaying. Obviously world world class, we know that's been been well reported and known, but now it's a business model. People realize that it's good business to have sustainability, whether it's carbon neutral footprints and or intersecting and contributing for the world and their employees who want mission driven companies ai and Blockchain, that's your wheelhouse. This is like you're in the big wave, wow, this is happening, give us your view because you're commercializing this in real time. >>Yeah, look as you've already said and it's the way well articulated, this is a business imperative, right? Is key to all companies corporate strategies. So the first step when you think about operationalized in this is what we've been doing, is to really step back and kind of break this down into what we call five key needs or focus areas that we've understood that we work with our clients. Remember in this context, Wayne is indeed my clients as well. Right. And so when you think about it, the five needs, as we like to lay them out, we talk about the sustainability strategy first of all, how are you approaching it as you saw from Wayne, identifying your key goals and approaches right against that, you begin to get into various areas and dimensions. Climate risk management is becoming increasingly important, especially in asset heavy industries electrification, energy and emissions management, another key focus area where we can bring technology to bear resilient infrastructure and operations, sustainable supply chain, all of these kind of come together to really connect with our clients business operations and allows us to bring together the technologies and the context of ai Blockchain and the key business operations. We can support to kind of begin to address specific news cases in the context of those needs. >>You know, I've covered it in the past and written about and also talked about the cube about sustainability on the supply chain side with Blockchain, whether it's your tracking, you know, um you know, transport of goods with with Blockchain and making sure that that kind of leads your kind of philosophy works because this waste involved is also disruption to business a security issues. But when you really move into the Ai side, how does a company scale that Corinne? Because now, you know, I have to one operationalize it and then scale it. Okay, so that's transformed, innovate and scale. How do I take take me through the examples of how that works >>well, I think really key to that, and this is really key to our ethos, it's enabling ai for business by integrating ai directly into business operations and decision making. So it's not really how can I put this? We try to make it so that the client isn't fixating on trying to deploy ai, they're just leveraging Ai. So as you say, let's take some practical examples. You talked about sustainable supply chains and you know, the key needs around transparency and provenance. Right? So we have helped clients like a tear with their seafood network or the shrimp sustainability network, where there's a big focus on understanding where are things being sourced and how they're moving through the supply chain. We also have a responsible sourcing business network that's being used for cobalt in batteries as an example from mine to manufacturing and here our technologies are allowing us to essentially track, trace and prove the provenance Blockchain serves as kind of that key shared ledger to pull all this information together. But we're leveraging AI to begin to quickly assess based upon the data inputs, the actual state of inventory, how to connect dots across multiple suppliers and as you onboard them and off board them off the network. So that's how we begin to put A. I in action so that the client begins to fixate on the work and the decisions they need to make. Not the AI itself. Another quick example would be in the context of civil infrastructure. One of our clients son and Belt large, maximum client of ours, he uses maximum to really focus on the maintenance and sustainable maintenance of their bridges. Think about how much money is spent setting up to do bridge inspections right. When you think about how much they have to invest the stopping of the traffic that scaffolding. We have been leveraging AI to do things like visual inspection, actually fly drones, take pictures, assess those images to identify cracks and use that to route and prioritized work. Similar examples are occurring in energy and utilities focused on vegetation management where we're leveraging ai to analyse satellite imagery, weather data and bringing it together so that work can be optimally prior authorized and deployed um for our clients. >>It's interesting. One of the themes coming out of think that I'm observing is this notion of transformation is innovation and innovation is about scale. Right? So it's not just innovation for innovating sake. You can transform from whether it's bridge inspections to managing any other previous pre existing kind of legacy condition and bring that into a modern error and then scale it with data. This is a common theme. It applies to to your examples. Kareem, that's super valuable. Um how do you how do you tie that together with partnering? Because wayne you were talking about the corporate initiative, that's just IBM we learned certainly in cybersecurity and now these other areas like sustainability, it's a team sport, you have to work on a global footprint with other industries and other leaders. How was I being working across the industry to connect and work with other, either initiatives or companies or governments. >>Sure. And there have been john over the years and at present a number of diverse collaborations that we seek out and we participate in. But before I address that, I just want to amplify something Kareem said, because it's so important, as I look back at the environmental movement over the last 50 years, frankly, since the first earth day in 1970, I, you know, with the benefit of hindsight, I observed there have really been three different hair, It's in the very beginning, global societies had to enact laws to control pollution that was occurring. That was the late 60s 1970s, into the early 1980s and around the early 1980s through to the first part of this century, that era of let's get control of this sort of transformed, oh, how can we prevent stuff from happening given the way we've always done business and that area ran for a while. But now, thanks to technology and data and things like Blockchain and ai we all have the opportunity to move into this era of innovation, which differs from control in which differs from traditional prevention. Innovation is about changing the way you get the same thing done. And the reason that's enabled is because of the tools that you just spoke about with korean. So how do we socialize these opportunities? Well to your question, we interact with a variety of diverse teams, government, different business associations, NGos and Academia. Some examples. There's an organization named the Center for Climate and Energy Solutions, which IBM is a founding member of its Business Leadership Council. Its predecessor was the Q Centre on global climate change. We've been involved with that since 1998. That is a cross section of people from all these different constituencies who are looking for solutions to climate. Many Fortune 102000s in there were part of the green grid. The green grid is an organization of companies involved with data centers and it's constantly looking at how do you measure energy efficiency and data centers and what are best practices to reduce consumption of energy at data centers where a member of the renewable energy buyers alliance? Many Fortune 100 200 Zar in that trying to apply scale to procure more renewable electricity to actually come to our facilities I mentioned earlier were part of the Climate Leadership Council calling for a carbon tax were part of the United Nations Environment programs science policy business form that gets us involved with many ministers of environment from countries around the world. We recently joined the new MITt Climate and sustainability consortium. Mitt Premier Research University. Many key leaders are part of that. Looking at how academic research can supercharge this opportunity for innovation and then the last one, I'm just wrap up call for code. You may be familiar with IBM s involvement in call for code. Okay. The current challenge under Call for Code in 2021 calls for solutions targeted the climate change. So that's that's a diverse set of different constituents, different types of people. But we try to get involved with all of them because we learn and hopefully we contribute something along the way as well. >>Awesome Wayne. Thank you very much, Karim, the last 30 seconds we got here. How do companies partner with IBM if they want to connect in with the mission and the citizenship that you guys are doing? How do they bring that to their company real quick. Give us a quick overview. >>Well, you know, it's really quite simple. Many of these clients are already clients of ours were engaging with them in the marketplace today, right, trying to make sure we understand their needs, trying to ensure that we tune what we've got to offer both in terms of product and consulting services with our GPS brethren, you know, to meet their needs, linking that in as well to IBM being in what we like to turn clients zero. We're also applying these same technologies and capabilities to support IBM efforts. And so as they engage in all these associations, what IBM is doing, that also provides a way to really get started. It's really fixate on those five imperatives or needs are laid out, picked kind of a starting point and tie it to something that matters. That changes how you're doing something today. That's really the key. As far as uh we're concerned, >>Karim, we thank you for your time on sustainability. Great initiative. Congratulations on the continued mission. Going back to the early days of IBM and the Watson generation continuing out in the modern era. Congratulations and thanks for sharing. >>Thank you john. >>Okay. It's the cubes coverage. I'm sean for your host. Thanks for watching. Mhm. Mhm. Mhm.

>>From around the globe, it's the Cube with digital coverage of IBM think 2021 brought to you by IBM. Welcome back to the cubes coverage of IBM Think 2021 virtual, I'm john for your host of the cube. We had a great line up here talking sustainability, kary musa ph d general manager of AI applications and block chains going great to see you and wayne, both the vice president of corporate environmental affairs and chief sustainability officer, among other things involved in the products around that. Wait and korean, great to see you. Thanks for coming on. >>Thank you for having us. >>Well, I'll start with you what's driving? IBMS investment in sustainability as a corporate initiative. We know IBM has been active, we've covered this many times, but there's more drivers now as IBM has more of a larger global scope and continues to do that with hybrid cloud, it's much more of a global landscape. What's driving today's investments in sustainability, >>You know, jOHn what drives IBM in this area has always been a longstanding, mature and deep seated belief in corporate responsibility. That's the bedrock foundation. So, you know, IBM 110 year old company, we've always strived to be socially responsible, But what's not as well known is that for the last 50 years, IBM has truly regarded environmental sustainability is a strategic imperative. Okay, It's strategic because hey, environmental problems require a strategic fix. It's a long term imperative because you have to be persistent with environmental problems, you don't necessarily solve them overnight. And it's imperative because business cannot succeed in a world of environmental degradation that really is the main tenant of sustainable development. You can't have successful economies with environmental degradation, you can't solving environmental problems without successful economies. So, and IBM's case as a long standing company, We were advantaged because 50 years ago our ceo at the time, Tom Watson put in place the company's first policy for environmental a stewardship and we've been at it ever since. And he did that in 1971 and that was just six months after the U. S. E. P. A. Was created. It was a year before the Stockholm Conference on the Environment. So we've been added for that long. Um in essence, really it's about recognizing that good environmental management makes good business sense, It's about corporate responsibility and today it's the E of E. S. G. >>You know, wayne. That's a great call out, by the way, referencing thomas Watson, the IBM legend. Um people who don't may not know the history, he was really ahead of its time and that was a lot of the culture they still see around today. So great to see that focus and great, great call out there. But I will ask though, as you guys evolved in today's modern error, how has that evolved in today's focus? Because, you know, we see data centers, carbon footprint, global warming, you now have a I and analytics can measure everything. So I mean you can you can measure everything now. So as the world gets larger in the surface area of what is contributing to the sustainable equation is larger, what's the current IBM focus? >>So these days we continually look at all of the ways in which IBM s day to day business practices intersect with any matter of the environment, whether it's materials, waste water or energy and climate. And IBM actually has 21 voluntary goals that drive us towards leadership. But today john as you know, uh the headline is really climate change and so we're squarely focused like many others on that and that's an imperative. But let me say before I just before I briefly tell you our current goals, it's also important to have context as to where we have been because that helps people understand what we're doing today. And so again, climate change is a topic that the men and women of IBM have paid attention to for a long time. Yeah, I was think about it. It was back in 1992 that the U. S. C. P. A. Created something called Energy Star. People look at that and they said, well, what's that all about? Okay, that's all about climate change. Because the most environmentally friendly energy you can get is the energy that you don't really need to consume. IBM was one of eight companies that helped the U. S. C. P. A. Launched that program 1992. Today we're all disclosing C. 02 emissions. IBM began doing that in 1994. Okay. In 2007, 13 years ago, I'd be unpublished. Its position on climate change, calling for urgent action around the world. He supported the Paris Agreement 2015. We reiterated that support in 2017 for the us to remain a partner. 2019, we became a founding member of Climate Leadership Council which calls for a carbon tax and a carbon dividend. So that's all background context. Today, we're working on our third renewable electricity goal, our fifth greenhouse gas emissions reduction goal and we set a new goal to achieve net zero greenhouse gas emissions. Each of those three compels IBM to near term action. >>That's awesome wayne as corporate environmental affairs and chief sustainable, great vision and awesome work. Karim dr Karim use if I wanna we leave you in here, you're the general manager. You you got to make this work because of the corporate citizenship that IBM is displaying. Obviously world world class, we know that's been been well reported and known, but now it's a business model. People realize that it's good business to have sustainability, whether it's carbon neutral footprints and or intersecting and contributing for the world and their employees who want mission driven companies ai and Blockchain, that's your wheelhouse. This is like you're on the big wave, wow, this is happening, give us your view because you're commercializing this in real time. >>Yeah, look as you've already said and it's the way well articulated, this is a business imperative, right is key to all companies corporate strategies. So the first step when you think about operationalized in this is what we've been doing, is to really step back and kind of break this down into what we call five key needs or focus areas that we've understood that we work with our clients. Remember in this context, Wayne is indeed my clients as well. Right. And so when you think about it, the five needs, as we like to lay them out, we talk about the sustainability strategy first of all, how are you approaching it as you saw from Wayne, identifying your key goals and approaches right against that, you begin to get into various areas and dimensions. Climate risk management is becoming increasingly important, especially in asset heavy industries electrification, energy and emissions management, another key focus area where we can bring technology to bear resilient infrastructure and operations, sustainable supply chain, All of these kind of come together to really connect with our clients business operations and allows us to bring together the technologies and context of ai Blockchain and the key business operations. We can support to kind of begin to address specific news cases in the context of those >>needs. You know, I've covered it in the past and written about and also talked about on the cube about sustainability on the supply chain side with Blockchain, whether it's your tracking, you know, um you know, transport of goods with with Blockchain and making sure that that kind of leads your kind of philosophy works because there's waste involved is also disruption to business, a security issues, but when you really move into the Ai side, how does a company scale that Corinne, because now, you know, I have to one operationalize it and then scale it. Okay, so that's transformed, innovate and scale. How do I take take me through the examples of how that works >>well, I think really key to that, and this is really key to our ethos, it's enabling ai for business by integrating ai directly into business operations and decision making. So it's not really how can I put this? We try to make it so that the client isn't fixating on trying to deploy ai, they're just leveraging Ai. So as you say, let's take some practical examples. You talked about sustainable supply chains and you know, the key needs around transparency and provenance. Right. So we have helped clients like a tear with their seafood network or the shrimp sustainability network where there's a big focus on understanding where are things being sourced and how they're moving through the supply chain. We also have a responsible sourcing business network that's being used for cobalt in batteries as an example from mine to manufacturing and here our technologies are allowing us to essentially track, trace and prove the provenance Blockchain serves as kind of that key shared ledger to pull all this information together. But we're leveraging AI to begin to quickly assess based upon the data inputs, the actual state of inventory, how to connect dots across multiple suppliers and as you on board in an off board them off the network. So that's how we begin to put A I in action so that the client begins to fixate on the work and the decisions they need to make. Not the AI itself. Another quick example would be in the context of civil infrastructure. One of our clients son and Belt large, maximum client of ours he uses maximum too rarely focus on the maintaining sustainable maintenance of their bridges. Think about how much money is spent setting up to do bridge inspections right. When you think about how much they have to invest the stopping of the traffic that scaffolding. We have been leveraging AI to do things like visual inspection. Actually fly drones, take pictures, assess those images to identify cracks and use that to route and prioritized work. Similar examples are occurring in energy and utilities focused on vegetation management where we're leveraging AI to analyse satellite imagery, weather data and bringing it together so that work can be optimally prior authorized and deployed for our >>clients. It's interesting. One of the themes coming out of think that I'm observing is this notion of transformation is innovation and innovation is about scale. Right? So it's not just innovation for innovating sake. You can transform from whether it's bridge inspections to managing any other previous pre existing kind of legacy condition and bring that into a modern error and then scale it with data. This is a common theme. It applies to to your examples. Kareem, that's super valuable. Um how do you how do you tie that together with partnering? Because wayne you were talking about the corporate initiative, that's just IBM we learned certainly in cybersecurity and now these other areas like sustainability, it's a team sport, you have to work on a global footprint with other industries and other leaders. How was I being working across the industry to connect and work with other, either initiatives or companies or governments. >>Sure. And there have been john over the years and at present a number of diverse collaborations that we seek out and we participate in. But before I address that, I just want to amplify something Kareem said, because it's so important, as I look back at the environmental movement over the last 50 years, frankly, since the first earth day in 1970, I, you know, with the benefit of hindsight, I observed there have really been three different hair, it's in the very beginning, global societies had to enact laws to control pollution that was occurring. That was the late 60s 1970s, into the early 1980s and around the early 1980s through to the first part of this century, that era of let's get control of this sort of transformed, oh how can we prevent stuff from happening given the way we've always done business and that area ran for a while. But now thanks to technology and data and things like Blockchain and ai we all have the opportunity to move into this era of innovation which differs from control in which differs from traditional prevention. Innovation is about changing the way you get the same thing done. And the reason that's enabled is because of the tools that you just spoke about with Korean. So how do we socialize these opportunities? Well to your question, we interact with a variety of diverse teams, government, different business associations, Ngos and Academia. Some examples, there's an organization named the Center for Climate and Energy Solutions, which IBM is a founding member of its Business Leadership Council. Its predecessor was the Q Centre on global climate change. We've been involved with that since 1998. That is a cross section of people from all these different constituencies who are looking for solutions to climate. Many Fortune 102000s in there were part of the green grid. The green grid is an organization of companies involved with data centers and it's constantly looking at how do you measure energy efficiency and data centers and what are best practices to reduce consumption of energy at data centers where a member of the renewable energy buyers alliance? Many Fortune 100 200 Zarin that trying to apply scale to procure more renewable electricity to actually come to our facilities I mentioned earlier were part of the Climate Leadership Council calling for a carbon tax were part of the United Nations Environment Programs science Policy business form that gets us involved with many ministers of Environment from countries around the world. We recently joined the new MITt Climate and sustainability consortium. Mitt Premier Research University. Many key leaders are part of that. Looking at how academic research can supercharge this opportunity for innovation and then the last one, I'll just wrap up call for code. You may be familiar with IBM s involvement in call for code. Okay. The current challenge under call for code in 2021 calls for solutions targeted the climate change. So that's, that's a diverse set of different constituents, different types of people. But we try to get involved with all of them because we learn and hopefully we contribute something along the way as well. >>Awesome Wayne. Thank you very much Karim, the last 30 seconds we got here. How do companies partner with IBM if they want to connect in with the mission and the citizenship that you guys are doing? How do they bring that to their company real quick. Give us a quick overview. >>Well, you know, it's really quite simple. Many of these clients are already clients of ours were engaging with them in the marketplace today, right, trying to make sure we understand their needs, trying to ensure that we tune what we've got to offer, both in terms of product and consulting services with our GPS brethren, you know, to meet their needs, linking that in as well to IBM being and what we like to turn client zero. We're also applying these same technologies and capabilities to support IBM efforts. And so as they engage in all these associations, what IBM is doing that also provides a way to really get started. It's really fixate on those five imperatives or needs are laid out, picked kind of a starting point and tie it to something that matters. That changes how you're doing something today. That's really the key. As far as uh we're concerned, >>Karim, we thank you for your time on sustainability. Great initiative, Congratulations on the continued mission. Going back to the early days of IBM and the Watson generation continuing out in the modern era. Congratulations and thanks for sharing. >>Thank you john. >>Okay. It's the cubes coverage. I'm sean for your host. Thanks for watching. >>Mm. Mhm.

>>Well, good day and welcome back to the cube as we continue our segment featuring AWS star showcase we're with now Mike Bilodeau, who's in corporate development and operations at Kong. Mike, uh, thank you for joining us here on the cube and particularly on the startup showcase. Nice to have you and pong represented here today. Thanks for having me, John. Great to be here. You bet. All right, first off, let's just tell us about pong a little bit and, and, uh, con cadet, which I know is your, your feature program, um, or, um, service. Oh, I love the name by the way. Um, but tell us a little bit about home and then what connect is all about to? Sure. So, uh, Kong as a company really came about in the past five years, our two co-founders came over from Italy in, uh, in the late, in the late aughts, early 20 teens and, uh, had a company called Mashape. >>And so what they were looking at and what they were betting on at that time was that API APIs, uh, were going to be the future of how software was built and how developers interacted with software. And so what came from that was a piece of, uh, they were running that shape as a marketplace at the time. So connecting developers sit in for an API so they can consume them and use them to build new software. And what they found was that actually the most valuable piece of technology that they created was the backbone for running that marketplace. And that backbone is what Kong is. And so they created it to be able to handle a massive amount of traffic, a massive amount of API APIs, all simultaneously. This is a problem that a lot of enterprises have, especially now that we've started to get some microservices, uh, started to, to have more distributed technologies. >>And so what Kong is really is it's a way to manage all of those different API APIs, all of the connections between different microservices, uh, through a single platform, which is called connect. And now that we've started to have Coobernetti's, uh, the, sort of the birth and the, the nascent space of service mesh con connect allows all of those connections to be managed and to be secured and made reliable, uh, through a single platform. So what's driving this right. I mean, um, you, you mentioned micro services, um, and Coobernetti's, and that environment, which is kind of facilitating, you know, this, uh, I guess transformation you might say. Um, but what's the big driver in your opinion, in terms of, of what's pushing this microservices phenomenon, if you will, or this revolution. Sure. And when I think it starts out at, at the simple active of technology acceleration in general, um, so when you look at just the, the real shifts that have come in enterprise, uh, especially looking, you know, start with that at the cloud, but you could even go back to VMware and virtualization is it's really about allowing people to build software more rapidly. >>Um, all of these different innovations that have happened, you know, with cloud, with virtualization now with containers, Kubernetes, microservices, they're really focused on making it, uh, so that developers can build software a lot more quickly, uh, develop the, the latest and greatest in a more rapid way. >>A huge driver out of this is just making it easier for developers, for organizations to bring new technologies to market. Uh, and we see that as a kind of a key driver in a lot of these decisions that are being made. I think another piece of it that's really coming about is looking at, uh, security, uh, as a really big component, you know, do you have a huge monolithic app? Uh, it can become very challenging to actually secure that if somebody gets into kind of that initial, uh, into the, the initial ops space, they're really past the point of no return and can get access to some things that you might not want them to similar for compliance and governance reasons that becomes challenging. So I think you're seeing this combination of where people are looking at breaking things into smaller pieces, even though it does come with its own challenges around security, um, that you need to manage, it's making it so that, uh, there's less ability to just get in and cause a lot of damage kind of all at once. Often Melissa malicious attackers. >>Yeah. You bring up security. And so, yeah, to me, it's almost, in some cases it's almost counterintuitive. I think about, I've got the, if I got this model, the gap and I've got a big parameter around it, right. And I know that I can confine this thing. I can contain this. This is good. Now microservices, now I got a lot of, it's almost like a lot of villages, right. They're all around. And, and uh, I don't have the castle anymore. I've got all these villages, so I have to build walls around all these villages. Right. But you're saying that there that's actually easier to do, or at least you're more capable of doing that now as opposed to living >>Three years ago. Well, you can almost think of it, uh, as if you have this little just right, and you might, um, if you have one castle and somebody gets inside, they're going to be able to find whatever treasury may have, you know, to extend the analogy here a bit, but now it's different, uh, 50 different villages that, you know, uh, an attacker needs to look in, it starts to become really time-consuming and really difficult. And now when you're looking at, especially this idea of kind of cybersecurity, um, the ability to secure a monolithic app is typically not all that different from what you can do with a microservice or with a once you get past that initial point, instead of thinking of it, you know, I have my one wall around everything, you know, think of it almost as a series of walls where it gets more and more difficult. Again, this all depends on, uh, that you're, you're managing that security well, which can get really time-consuming more than anything else and challenging from a pure management standpoint, but from an actual security posture, it is a way of where you can strengthen it, uh, because you're, you're creating more, um, more difficult ways of accessing information for attackers, as well as just more layers potentially of security. >>But what do you do to lift that burden then from, from the customer? Because like you said, that that that's a concern they really don't want to have. Right. They want, they want you to do that. They want somebody to do that for them. So what can, what do you do to alleviate those kinds of stress >>On their systems? Yeah, it's a great question. And this is really where the idea of API management and, um, in it's in its infancy came from, was thinking about, uh, how do we extract a way these different tasks that people don't really want to do when they're managing, uh, how API, how people can interact with their API APIs, whether that be a device or another human, um, and part of that is just taking away. So what we do and what API gate management tools have always done is abstract that into a, a new piece of software. So instead of having to kind of individually develop and write code for security, for logging, for, you know, routing logic, all these different pieces of how those different APIs will communicate with each other, we're putting that into a single piece of software and we're allowing that to be done in a really easy way. >>And so what we've done now with con connect and where we've extended that to you, is making it even easier to do that at a microservices level of scale. So if you're thinking about hundreds or thousands of different microservices that you understand and be able to manage, that's what we're really building to allow people to do. And so that comes with, you know, being able to, to make it extremely easy, uh, to, to actually add policies like authentication, you know, rate-limiting, whatever it may be, as well as giving people the choice to use what they want to use. Uh, we have great partners, you know, looking at the Datadog's, the Okta's of the world who provide a pretty, pretty incredible product. We don't necessarily want to reinvent the wheel on some of these things that are already out there, and that are widely loved and accepted by, uh, technology, practitioners and developers. We just want to make it really easy to actually use those, uh, those different technologies. And so that's, that's a lot of what we're doing is providing a, a way to make it easy to add this, you know, these policies and this logic into each one of these different services. >>So w if you're providing these kinds of services, right. And, and, and, and they're, they're, they're new, right. Um, and you're merging them sometimes with kind of legacy, uh, components, um, that transition or that interaction I would assume, could be a little complex. And, and you've, you've got your work cut out for you in some regards to kind of retrofit in some respects to make this seamless, to make this smooth. So maybe shine a little light on that process in terms of not throwing all the, you know, the bath out, you know, with, with the baby, all the water here, but just making sure it all works right. And that it makes it simple and, and, um, takes away that kind of complexity that people might be facing. >>Yeah, that's really the name of the game. Uh, we, we do not believe that there is a one size fits all approach in general, to how people should build software. Uh, there are going to need instances aware of building a monolithic app. It makes the most sense. There are going to be instances where building on Kubernetes makes the most sense. Um, the key thing that we want to solve is making sure that it works and that you're able to, to make the best technical decision for your products and for your organization. And so in looking at, uh, sort of how we help to solve that problem, I think the first is that we have first class support for everything. So we support, you know, everything down to, to kind of the oldest bare metal servers to NAMS, to containers across the board. Uh, and, and we had that mindset with every product that we brought to market. >>So thinking about our service mesh offering, for instance, um, Kula is the open source project that under tens now are even, but looking at Kumo, one of the first things that we did when we brought it out, because we saw this gap in space was to make sure that that adds first-class support for and chance at the time that wasn't something that was commonly done at all. Uh, now, you know, there there's more people are moving in that direction because they do see it as a need, which is great for the space. Um, but that's something where we, we understand that the important thing is making sure your point, you said it kind of the exact way that we like to, which is it needs to be reliable. It needs work. So I have a huge estate of, you know, older applications, older, uh, you know, potentially environments, even. I might have data centers that might've cloud being, trying to do everything all at once. Isn't really a pragmatic approach. Always. It needs to be able to support the journey as you move to, to a more modern way of building. So in terms of going from on-premise to the cloud, running in a hybrid approach, whatever it may be, all of those things shouldn't be an all or nothing proposition. It should be a phase approach and moving to, to really where it makes sense for your business and for the specific problem >>Talking about cloud deployments, obviously AWS comes into play there in a major way for you guys. Um, tell me a little bit about that, about how you're leveraging that relationship and how you're partnering with them, and then bringing the, the value then to your customer base and kind of how long that's been going on and the kinds of work that you guys are doing together, uh, ultimately to provide this kind of, uh, exemplary product or at least options to your customers. >>Yeah, of course. I think the way that we're doing it first and foremost is that, um, we, we know exactly who AWS is and the space and, and, you know, a great number of our customers are running on AWS. So again, I think that first class support in general for AWS environments services, uh, both from the container service, their, their Kubernetes services, everything that they can have and that they offer to their customers, we want to be able to support, uh, one of the first areas of really that comes to mind in terms of first-class integration and support is thinking about Lambda and serverless. Um, so at the time when we first came out, was that, again, it was early for us, uh, or early in our journey as product and as company, uh, but really early for the space. And so how we were able to support that and how we were able to see, uh, that it could support our vision and, and what we wanted to bring as a value proposition to the market has been, you know, really powerful. So I think in looking at, you know, how we work with AWS, certainly on a partnership level of where we share a lot of the same customers, we share a very similar ethos and wanting to help people do things in the most cost-effective rapid manner possible, and to build the best software. Uh, and, you know, I mean, for us, we have a little bit of a backstory with AWS because Jeffrey's us was a, an early investor in, in common. >>Yeah, exactly. I mean, the, the whole memo that he wrote about, uh, you know, build an API or you're fired was, was certainly an inspiration to, to us and it catalyzed, uh, so much change in, in the technology landscape in general, about how everyone viewed API APIs about building a software that could be reused and, and was composable. And so that's something that, you know, we, we look at, uh, kind of carrying forward and we've been building on that momentum ever since. So, >>Well, I mean, it's just kind of take a, again, a high level, look at this in terms of microservices. And now that it's changing in terms of cloud connectivity. Thank you. Actually, I have a graphic to that. Maybe we can pull up and take a look at this and let's talk about this evolution. You know, what's occurring here a little bit, and, and as we take a look at this, um, tell us what you think those, these impacts are at the end of the day for your customers and how they're better able to provide their services and satisfy their customer needs. >>Absolutely. So this is really the heart of the connect platform and of our vision in general. Um, we'd spoken just a minute ago about thinking how we can support the entire journey or, uh, the, the enterprise reality that is managing a, a relatively complex environment of modelists different services, microservices, you know, circle assumptions, whatever it may be, uh, as well as lots of different deployment methods and underlying tech platforms. You know, if you have, uh, virtual machines and Kubernetes, whatever, again, whatever it may be. But what we look at is just the different sort of, uh, design patterns that can occur in thinking about a monolithic application. And, um, okay. Mainly that's an edge concern of thinking about how you're going to handle connectivity coming in from the edge and looking at a Kubernetes environment of where you're going to have, you know, many Kubernetes clusters that need to be able to communicate with each other. >>That's where we start to think about, uh, our ingress products and Kubernetes ingress that allows for that cross applic, uh, across application communication. And then within the application itself, and looking at service mesh, which we talked a little bit about of just how do I make sure that I can instrument and secure every transaction that's happening in a, a truly microservices, uh, deployment within Kubernetes or outside of it? How do I make sure that that's reliable and secure? And so what we look at is this is just a, uh, part of it is evolution. And part of it is going to be figuring out what works best when it, um, certainly if you're, if you're building something from scratch, it doesn't always make sense to build it, your MDP, as, you know, microservices running on Kubernetes. It probably makes sense to go with the shortest path, uh, at the same time, if you're trying to run it at massive scale and big applications and make sure they're as reliable as possible, it very well does make sense to spend the time and the effort to, to make humanize work well for you. >>And I think that's, that's the, the beauty of, of how the space is shifting is that, uh, it's, it's going towards a way of the most practical solution to get towards business value, to, to move software quicker, to give customers the value that they want to delight them to use. Amazon's, uh, you know, phrase ology, if that's, uh, if that's a word, uh, it's, it's something of where, you know, that is becoming more and more standard practice versus just trying to make sure that you're doing the, the latest and greatest for the sake of, of, uh, of doing it. >>So we've been talking about customers in, in rather generic terms in terms of what you're providing them. We talked about new surfaces that are certainly, uh, providing added value and providing them solutions to their problems. Can you give us maybe just a couple of examples of some real life success stories, where, where you've had some success in terms of, of providing services that, um, I assume, um, people needed, or at least maybe they didn't know they needed until, uh, you, you provided that kind of development that, but give us an idea of maybe just, uh, shine, a little light on some success that you've had so that people at home watching this can perhaps relate to that experience and maybe give them a reason to think a little more about calm. >>Yeah, absolutely. Uh, there, there's a number that come to mind, but certainly one of the customers that I spent a lot of time with, uh, you know, become almost friends would be with, uh, with the different, with a couple of the practitioners who work there is company called Cargill. Uh, it's a shared one with us and AWS, you know, it's one we've written about in the past, but this is one of the largest companies in the world. Um, and, uh, the, the way that they describe it is, is that if you've ever eaten a Vic muffin or eaten from McDonald's and had breakfast there, you you've used a Cargill service because they provide so much of the, the food supply chain business and the logistics for it. They had a, uh, it's a, it's an old, you know, it's a century and a half old company. >>It has a really story kind of legacy, and it's grown to be an extremely large company that's so private. Uh, but you know, they have some of the most unique challenges. I think that I've, I've seen in the space in terms of needing to be able to ensure, uh, that they're able to, to kind of move quickly and build a lot of new services and software that touch so many different spaces. So they were, uh, the challenge that was put in front of them was looking at really modernizing, you know, again, a century and a half old company modernizing their entire tech stack. And, you know, we're certainly not all of that in any way, shape or form, but we are something that can help that process quite a bit. And so, as they were migrating to AWS, as they were looking at, you know, creating a CICB process for, for really being able to ship and deploy new software as quickly as possible as they were looking at how they could distribute the, the new API APIs and services that they were building, we were helping them with every piece of that journey, um, by being able to, to make sure that the services that they deployed, uh, performed in the way that they expected them to, we're able to give them a lot of competence and being able to move, uh, more rapidly and move a lot of software over from these tried and true, uh, you know, older or more legacy of doing things to a much more cloud native built as they were looking at using Kubernetes in AWS and, and being able to support that handle scale. >>Again, we are something that was able to, to kind of bridge that gap and make sure that there weren't going to be disruptions. So there, there are a lot of kind of great reasons of why they're their numbers really speak for themselves in terms of how, uh, how much velocity they were able to get. You know, they saying them saying them out loud on the sense fake in some cases, um, because they were able to, you know, I think like something, something around the order of 20 X, the amount of new API APIs and services that they were building over a six month period, really kind of crazy crazy numbers. Um, but it is something where, you know, the, for us, we, we got a lot out of them because they were open source users. So calling is first and foremost, an open source company. >>And so they were helping us before they even became paying customers, uh, just by testing the software and providing feedback, really putting it through its paces and using it at a scale that's really hard to replicate, you know, the scale of a, uh, a couple of hundred thousand person company, right? Yeah. Talking about a win-win yeah. That worked out well. It's certainly the proof is in the pudding and I'm sure that's just one of many examples of success that you've had. Uh, we appreciate the time here and certainly the insights and wish you well on down the road. Thanks for joining us, Mike. Thanks, Sean. Thanks for having me. I've been speaking with Mike Villa from Kong. He is in corporate development and operations there on John Walls, and you're watching on the cube, the AWS startup showcase.

(upbeat music) >> Well, good day and welcome back to the Cube as we continue our segment, featuring AWS Startup Showcase and we're with now Mike Bilodeau who's in corporate development and operations at Kong. Mike, thank you for joining us here on the Cube and particularly on the Startup Showcase. Nice to have you and Kong represented here today. >> Thanks for having me, John. Great to be here. >> You better and first off let's just tell us about Kong a little bit and column cadet which I know is your feature program or service. I love the name by the way, but tell us a little bit about Kong and then what Kong is all about too? >> Sure, so Kong as a company really came about in the past five years. Our two co-founders came over from Italy in the late aughts early to 20 teens and had a company called Mashape. And so what they were looking at and what they were betting on at that time, was that APIs were going to be the future of how software was built and how developers interacted with software. And so what came from that was a piece of they were running Mashape as a marketplace at the time. So connecting developers to different APIs so they can consume them and use them to build new software. And what they found was that actually the most valuable piece of technology that they had created was the backbone for running that marketplace. And that backbone is what Kong is. And so they created it to be able to handle a massive amount of traffic, a massive amount of APIs, all simultaneously. This is a problem that a lot of enterprises have especially now that we've started to get some microservices, started to have more distributed technologies. And so what Kong is really is, it's a way to manage all of those different APIs. All of the connections between different microservices through a single platform which is Kong connect. And now that we've started to have Kubernetes the sort of the birth and the nascent space of service mesh. Kong connect allows all of those connections to be managed and to be secured and made reliable through a single platform. >> So what's driving this, right? I mean you mentioned microservices and Kubernetes and that environment which is kind of facilitating this, I guess transformation you might say. But what's the big driver in your opinion in terms of what's pushing this microservices phenomenon if you will or this revolution? >> Sure, and when I think it starts out at the simple active of technology acceleration in general. So when you look at just the real shifts that have come in enterprise to hack especially looking, you know start with that at the cloud but you could even go back to VMware and virtualization is it's really about allowing people to build software more rapidly. All of these different innovations that have happened with cloud, with virtualization, now with containers, Kubernetes, microservices they're really focused on making it so that developers can build software a lot more quickly. Develop the latest and greatest in a more rapid way. I think a huge driver out of this is just making it easier for developers, for organizations to bring new technologies to market. And we see that as a key driver in a lot of these decisions that are being made. I think another piece of it that's really coming about is looking at security as a really big component. You know we have a huge monolithic app. It can become very challenging to actually secure that. If somebody gets into the initial Ops space they're really past the point of no return and can get access to some things that you might not want them to. Similar for compliance and governance reasons, that becomes challenging. So I think you're seeing this combination of where people are looking at breaking things into smaller pieces, even though it does come with its own challenges around security that you need to manage. It's making it so that there's less ability to just get in and cause a lot of damage all at once from malicious attackers. >> Yeah, you bring up security and so, yeah to me it's almost in some cases it's almost counterintuitive. I think about if I got this model to gap and I've got a big parameter around it, right. And I know that I can confine this thing. I can contain this, this is is good. Now microservices, now got a lot of, it's almost like a lot of villages, right? They're all around. And I don't have the castle anymore. I've got all these villages. So I have to build walls around all these villages. But you're saying that that's actually easier to do or at least you're more capable of doing that now as opposed to maybe where we were two, three years ago. >> Well you can almost think of it as if you have those villages, right. And if you have one castle and somebody gets inside they're going to be able to find whatever treasure you may have you know, to extend the analogy here a bit. But now if you have 50 different villages that an attacker needs to look in it starts to become really time consuming and really difficult. And now when you're looking at, especially this idea of cybersecurity, the ability to secure a monolithic app is typically not all that different from what you can do with a microservice or once you get past that initial point. Instead of thinking of it as, you know I have my one wall around everything you now think of it almost as a series of walls where it gets more and more difficult. Again this all depends on that you're managing that security well which can get really time-consuming more than anything else and challenging from a pure management standpoint. But from an actual security posture it is a way of where you can strengthen it because you're you're creating more difficult ways of accessing information for attackers as well as just more layers potentially of security that they need to get them. >> But what do you do to lift that burden then from the customers because like you said that's a concern they really don't want to have. They want you to do that. They want somebody to do that before them. So what do you do to alleviate those kinds of stresses on their systems? >> Yeah, it's a great question. And this is really where the idea of API management in its infancy came from. Was thinking about, how do we abstract a way these different tasks that people don't really want to do when they're managing how people can interact with their APIs whether that be a device or another human? And part of that is just taking away. So what we do and what API game management tools have always done is abstract that into a new piece of software. So instead of having to kind of individually develop and write code for security, for logging, for routing logic, all these different pieces of how those different APIs will communicate with each other we're putting that into a single piece of software, And we're allowing that to be done in a really easy way. And so what we've done now with Kong connect and where we've extended that to is making it even easier to do that at a microservices level of scale. So if you're thinking about hundreds or thousands of different microservices that you need to understand and be able to manage that's what we're really building to allow people to do. And so that comes with being able to make it extremely easy to actually add policies like authentication, rate limiting whatever it may be as well as giving people the choice to use what they want to use. We have great partners looking at the Datadog's, the Okta's of the world who provide a pretty, pretty incredible product. We don't necessarily want to reinvent the wheel on some of these things that are already out there and that are widely loved and accepted by technology practitioners and developers. We just want to make it really easy to actually use those different technologies. And so that's a lot of what we're doing is providing a a way to make it easy to add these policies and this logic into each one of these different services. >> So what if you're providing these kinds of services and they're new and you're merging them sometimes with kind of legacy components? That transition or that interaction I would assume could be a little complex. And you've got your work cut out for you in some regards to kind of retrofit, right? In some respects to make this seamless, to make this smooth. So maybe you shine a little light on that process in terms of not throwing all the bath out with the baby or the water here, but just making sure it all works. And that it makes it simple and takes away that kind of complexity that people might be facing. >> Yeah, that's really the name of the game. We do not believe that there is a one size fits all approach in general to how people should build software. There are going to be instances of where building a monolithic app makes the most sense. There are going to be instances where building a Kubernetes makes the most sense. The key thing that we wonna solve is making sure that it works and that you're able to make the best technical decision for your products and for your organization. And so in looking at how we help to solve that problem, I think the first is that we have first-class support for everything. So we support everything down to kind of the oldest bare metal servers, to IBMs to containers across the board. And we've had that mindset with every product that we brought to market. So thinking about our service mesh for instance Kuma is the open-source project that all depends now on an enterprise one. But looking at Kuma, one of the first things that we did when we brought it out because we saw this gap in the space was to make sure that they have first-class support for virtual machines. At the time that wasn't something that was commonly done at all. Now more people are moving in that direction because they do see it as it need which is great for the space. But that's something where we understand that the important thing is making sure your point you said it kind of the exact way that we like to which is it needs to be reliable. It needs to work. So I have a huge estate of older applications, older potentially environments even I might have data centers, I might have cloud been trying to do everything all at once. Isn't really a pragmatic approach always. It needs to be able to support the journey as you move to a more modern way of building. So in terms of going from on-premise to the cloud, running in a hybrid approach, whatever it may be, all of those things shouldn't be an all-or-nothing proposition. It should be a phased approach and moving to really where it makes sense for your business and for the specific product. >> You've been talking about cloud deployments obviously. AWS comes into play there in a major way for you guys. Tell me a little bit about that. About how you're leveraging that relationship and how you're partnering with them and then bringing the value then to your customer base. And how long that's been going on and the kinds of work that you guys are doing together ultimately to provide this kind of exemplary product or at least options to your customers. >> Yeah, of course. I think the way that we're doing it first and foremost is that we know exactly who AWS is in the space. And great number of our customers are running on AWS. So again, I think that first-class support in general for AWS environments, services both from the container service, their Kubernetes services, everything that they can have and that they offer to their customers we wonna be able to support. One of the first areas really that comes to mind in terms of first-class integration and support is thinking about Lambda and serverless. So at the time when we first came out with that, again it was early for us or early in our journey as product and as company, but really early for the space. And so how we were able to support that and how we were able to see that it could support our vision and what we wanted to bring as a value proposition to the market has been really powerful. So I think in looking at how we work with AWS certainly on a partnership level of where we share a lot of the same customers we share a very similar ethos and wanting to help people do things in the most cost-effective rapid manner possible and to build the best software. And I mean for us we have a little bit of a backstory with AWS 'cause Jeff Bezos was an early investor in Kong. >> That didn't hurt really. Yeah exactly, I mean the whole memo that he wrote about build an API or you're fired was certainly an inspiration to us. And just it catalyzed so much change in the technology landscape in general about how everyone viewed APIs about building a software that could be reused and and was composable. And so that's something that we look at and kind of carry it forward and we've been building on that momentum ever since. >> So I'm going to just kind of take, again a high level. Look at this in terms of microservices and how that's changing in terms of cloud connectivity. Think you actually have a graphic too that maybe we can pull up and take a look at this and let's talk about this evolution. What's occurring here a little bit and as we take a look at this tell us what you think these impacts are at the end of the day for your customers and how they're better able to provide their services and satisfy their customer needs. >> Absolutely, so this is really the heart of the connect platform and of our vision in general. We've spoken just a minute ago about thinking how we can support the entire journey or the enterprise reality that is managing a relatively complex environment of monoliths, different services, microservices, serverless functions, whatever it may be as well as lots of different deployment methods and underlying tech platforms. If you have virtual machines and Kubernetes whatever it may be. But what we look at is just the different design patterns that can occur in thinking about a monolithic application. Okay, mainly that's an edge concern of thinking about how you going to handle connectivity coming in from the edge in looking at a Kubernetes environment of where you going to have many Kubernetes clusters that need to be able to communicate with each other. That's where we start to think about our ingress products and Kubernetes ingress that allows for that cross application communication. And then within the application itself and looking at service mesh which we talked a little bit about of just how do I make sure that I can instrument and secure every transaction that's happening in a truly microservices deployment within Kubernetes or outside of it? How do I make sure that that's reliable and secure? And so what we look at is part of it is evolution. And part of it is going to be figuring out what works best when. Certainly if you're building something from scratch it doesn't always make sense to build it. Your MDP as microservices running on Kubernetes it probably makes sense to go with the shortest path. At the same time if you're trying to run it at massive scale and big applications and make sure they're as reliable as possible it very well does make sense to spend the time and the effort to make Kubernetes work well for you. And I think that's the beauty of how the space is shifting is that it's going towards a way of the most practical solution to get towards business value to move software quicker to give customers the value that they want to delight them to use Amazon's phraseology if that's a word. It's something that is becoming more and more standard practice versus just trying to make sure that you're doing the latest and greatest for the sake of doing it. >> So we've been talking about customers in rather generic terms in terms of what you're providing them. We've talked about new services that are certainly providing added value and providing them with solutions to their problems. Can you give us maybe just a couple of examples of some real life success stories where you've had some success in terms of providing services that I assume people needed or at least maybe they didn't know they needed until you provided that kind of development. But give us an idea, maybe just shine a little light on some success that you've had so that people at home and are watching this can perhaps relate to that experience and maybe give them a reason to think a little more about Kong and Kong connect. >> Yeah, absolutely, there's a number that come to mind but certainly one of the customers that I have spent a lot of time with, become almost friends with a couple of the practitioners who work there, is company called Cargill. It's a shared one with us and AWS. It's one we've written about in the past but this is one of the largest companies in the world. And the way that they describe it as is that if you've ever eaten a McMuffin or eaten from McDonald's and had breakfast there, you've used a Cargill service because they provide so much of the food supply chain business and the logistics for it. You know, it's a century and a half old company. It has a really story and a legacy and it's grown to be an extremely large company that's still private. But they have some of the most unique challenges, I think that I've seen in the space in terms of needing to be able to ensure that they're able to kind of move quickly and build a lot of new services and software that touch so many different spaces. So the challenge that was put in front of them was looking at really modernizing a century and a half old company. Modernizing their entire tech stack. And we're certainly not all of that in any way shape or form but we are something that can help that process quite a bit. And so as they were migrating to AWS as they were looking at creating a CICB process for really being able to shape and deploy new software as quickly as possible. As they were looking at how they could distribute the new APIs and services that they were building, we were helping them with every piece of that journey by being able to to make sure that the services that they deployed performed in the way that they expected them to. We're able to give them a lot of confidence in being able to move more rapidly and move a lot of software over from these tried and true older or more legacy ways of doing things to a much more cloud native build. As they were looking at using Kubernetes in AWS and being able to support that handle scale, again we're something that was able to kind of bridge that gap and make sure that there weren't going to be disruptions. So there are a lot of great reasons of why their numbers really speak for themselves in terms of how much velocity they were able to get. Saying them out loud will sound fake in some cases because they were able to, you know, I think like something around the order of 20 X the amount of new APIs and services that they were building over a six month period. Really kind of crazy, crazy numbers. But it is something where, for us we got a lot out of them because they were open-source users. So Kong is first and foremost an open-source company. And so they were helping us before they even became paying customers. Just by testing the software, providing feedback, really putting it through its paces and using it at a scale that's really hard to replicate. You know the scale of a couple of hundred thousand person company, yeah. >> Talk about a win-win. That worked out well. Certainly the proof is in the pudding and I'm sure that's just one of many examples of success that you've had. We appreciate the time here and certainly the insights and I wish you well on down the road. Thanks for joining us Mike. >> Thanks John, thanks for having me. >> Been peaking with Mike Bilodeau from Kong. He is in corporate development and operations there. I'm John Walls and you're watching "On the Cube" the AWS Startup Showcase. (soft music)

>>from around the globe. It's the Cube covering space and cybersecurity. Symposium 2020 hosted by Cal Poly >>Oven. Welcome back to the Space and Cyber Security Symposium. 2020 I'm John for your host with the Cuban silicon angle, along with Cal Poly, representing a great session here on industry success in developing space and cybersecurity. Resource is Got a great lineup. Brigadier General Steve Hotel, whose are also known as Bucky, is Call Sign director of Space Portfolio Defense Innovation Unit. Preston Miller, chief information security officer at JPL, NASA and Major General retired Clint Crozier, director of aerospace and satellite solutions at Amazon Web services, also known as a W s. Gentlemen, thank you for for joining me today. So the purpose of this session is to spend the next hour talking about the future of workforce talent. Um, skills needed and we're gonna dig into it. And Spaces is an exciting intersection of so many awesome disciplines. It's not just get a degree, go into a track ladder up and get promoted. Do those things. It's much different now. Love to get your perspectives, each of you will have an opening statement and we will start with the Brigadier General Steve Hotel. Right? >>Thank you very much. The Defense Innovation Unit was created in 2015 by then Secretary of Defense Ash Carter. To accomplish three things. One is to accelerate the adoption of commercial technology into the Department of Defense so that we can transform and keep our most relevant capabilities relevant. And also to build what we call now called the national Security Innovation Base, which is inclusive all the traditional defense companies, plus the commercial companies that may not necessarily work with focus exclusively on defense but could contribute to our national security and interesting ways. Um, this is such an exciting time Azul here from our other speakers about space on and I can't, uh I'm really excited to be here today to be able to share a little bit of our insight on the subject. >>Thank you very much. Precedent. Miller, Chief information security officer, Jet Propulsion Lab, NASA, Your opening statement. >>Hey, thank you for having me. I would like to start off by providing just a little bit of context of what brings us. Brings us together to talk about this exciting topic for space workforce. Had we've seen In recent years there's been there's been a trend towards expanding our space exploration and the space systems that offer the great things that we see in today's world like GPS. Um, but a lot of that has come with some Asian infrastructure and technology, and what we're seeing as we go towards our next generation expects of inspiration is that we now want to ensure that were secured on all levels. And there's an acknowledgement that our space systems are just a susceptible to cyber attacks as our terrestrial assistance. We've seen a recent space, uh, policy Directive five come out from our administration, that that details exactly how we should be looking at the cyber principle for our space systems, and we want to prevent. We want to prevent a few things as a result of that of these principles. Spoofing and jamming of our space systems are not authorized commands being sent to those space systems, lots of positive control of our space vehicles on lots of mission data. We also acknowledge that there's a couple of frameworks we wanna adopt across the board of our space systems levers and things like our nice miss cybersecurity frameworks. eso what has been a challenge in the past adopted somebody Cyber principles in space systems, where there simply has been a skill gap in a knowledge gap. We hire our space engineers to do a few things. Very well designed space systems, the ploy space systems and engineer space systems, often cybersecurity is seen as a after thought and certainly hasn't been a line item and in any budget for our spaces in racing. Uh, in the past in recent years, the dynamic started to change. We're now now integrating cyber principles at the onset of development of these life cycle of space. Systems were also taking a hard look of how we train the next generation of engineers to be both adequate. Space engineers, space system engineers and a cyber engineers, as a result to Mrs success on DWI, also are taking a hard look at What do we mean when we talk about holistic risk management for our space assistance, Traditionally risk management and missing insurance for space systems? I've really revolved around quality control, but now, in recent years we've started to adopt principles that takes cyber risk into account, So this is a really exciting topic for me. It's something that I'm fortunate to work with and live with every day. I'm really excited to get into this discussion with my other panel members. Thank you. >>You Preston. Great insight there. Looking forward. Thio chatting further. Um, Clint Closure with a W. S now heading up. A director of aerospace and satellite Solutions, formerly Major General, Your opening statement. >>Thanks, John. I really appreciate that introduction and really appreciate the opportunity to be here in the Space and Cybersecurity Symposium. And thanks to Cal Poly for putting it together, you know, I can't help, but as I think to Cal Poly there on the central California coast, San Luis Obispo, California I can't help but to think back in this park quickly. I spent two years of my life as a launch squadron commander at Vandenberg Air Force Base, about an hour south of Cal Poly launching rockets, putting satellites in orbit for the national intelligence community and so some really fond memories of the Central California coast. I couldn't agree more with the theme of our symposium this week. The space and cyber security we've all come to know over the last decade. How critical spaces to the world, whether it's for national security intelligence, whether it's whether communications, maritime, agriculture, development or a whole host of other things, economic and financial transactions. But I would make the case that I think most of your listeners would agree we won't have space without cybersecurity. In other words, if we can't guaranteed cybersecurity, all those benefits that we get from space may not be there. Preston in a moment ago that all the threats that have come across in the terrestrial world, whether it be hacking or malware or ransomware or are simple network attacks, we're seeing all those migrate to space to. And so it's a really important issue that we have to pay attention to. I also want to applaud Cow Pauling. They've got some really important initiatives. The conference here, in our particular panel, is about developing the next generation of space and cyber workers, and and Cal Poly has two important programs. One is the digital transformation hub, and the other is space data solutions, both of which, I'm happy to say, are in partnership with a W. S. But these were important programs where Cal Poly looks to try to develop the next generation of space and cyber leaders. And I would encourage you if you're interested in that toe. Look up the program because that could be very valuable is well, I'm relatively new to the AWS team and I'm really happy Thio team, as John you said recently retired from the U. S. Air Force and standing up the U. S. Space force. But the reason that I mentioned that as the director of the aerospace and satellite team is again it's in perfect harmony with the theme today. You know, we've recognized that space is critically important and that cyber security is critically important and that's been a W s vision as well. In fact, a W s understands how important the space domain is and coupled with the fact that AWS is well known that at a W s security is job zero and stolen a couple of those to fax A. W. S was looking to put together a team the aerospace and satellite team that focus solely and exclusively every single day on technical innovation in space and more security for the space domain through the cloud and our offerings there. So we're really excited to reimagine agree, envision what space networks and architectures could look like when they're born on the cloud. So that's important. You know, talk about workforce here in just a moment, but but I'll give you just a quick sneak. We at AWS have also recognized the gap in the projected workforce, as Preston mentioned, Um, depending on the projection that you look at, you know, most projections tell us that the demand for highly trained cyber cyber security cloud practitioners in the future outweighs what we think is going to be the supply. And so a ws has leaned into that in a number of ways that we're gonna talk about the next segment. I know. But with our workforce transformation, where we've tried to train free of charge not just a W s workers but more importantly, our customers workers. It s a W s we obsessed over the customer. And so we've provided free training toe over 7000 people this year alone toe bring their cloud security and cyber security skills up to where they will be able to fully leverage into the new workforce. So we're really happy about that too? I'm glad Preston raised SPD five space policy Directive five. I think it's gonna have a fundamental impact on the space and cyber industry. Uh, now full disclosure with that said, You know, I'm kind of a big fan of space policy directives, ESPN, Or was the space policy directive that directed to stand up of the U. S. Space Force and I spent the last 18 months of my life as the lead planner and architect for standing up the U. S. Space force. But with that said, I think when we look back a decade from now, we're going to see that s p d five will have as much of an impact in a positive way as I think SPD for on the stand up of the space Force have already done so. So I'll leave it there, but really look forward to the dialogue and discussion. >>Thank you, gentlemen. Clint, I just wanna say thank you for all your hard work and the team and the people who were involved in standing up Space force. Um, it is totally new. It's a game changer. It's modern, is needed. And there's benefits on potential challenges and opportunities that are gonna be there, so thank you very much for doing that. I personally am excited. I know a lot of people are excited for what the space force is today and what it could become. Thank you very much. >>Yeah, Thanks. >>Okay, So >>with >>that, let me give just jump in because, you know, as you're talking about space force and cybersecurity and you spend your time at Vanderburgh launching stuff into space, that's very technical. Is operation okay? I mean, it's complex in and of itself, but if you think about like, what's going on beyond in space is a lot of commercial aspect. So I'm thinking, you know, launching stuff into space on one side of my brain and the other side of brain, I'm thinking like air travel. You know, all the logistics and the rules of the road and air traffic control and all the communications and all the technology and policy and, you >>know, landing. >>So, Major General Clint, what's your take on this? Because this is not easy. It's not just one thing that speaks to the diversity of workforce needs. What's your reaction to that? >>Yeah. I mean, your observation is right on. We're seeing a real boom in the space and aerospace industry. For all the good reasons we talked about, we're recognizing all the value space from again economic prosperity to exploration to being ableto, you know, improve agriculture and in weather and all those sorts of things that we understand from space. So what I'm really excited about is we're seeing this this blossom of space companies that we sort of referred to his new space. You know, it used to be that really only large governments like the United States and a handful of others could operate in the space domain today and largely infused because of the technological innovation that have come with Cyber and Cyrus Space and even the cloud we're seeing more and more companies, capabilities, countries, all that have the ability, you know. Even a well funded university today can put a cube sat in orbit, and Cal Poly is working on some of those too, by the way, and so it's really expanded the number of people that benefits the activity in space and again, that's why it's so critically important because we become more and more reliant and we will become more and more reliant on those capabilities that we have to protect him. It's fundamental that we do. So, >>Bucky, I want you to weigh in on this because actually, you you've flown. Uh, I got a call sign which I love interviewing people. Anyone who's a call sign is cool in my book. So, Bucky, I want you to react to that because that's outside of the technology, you know, flying in space. There's >>no >>rule. I mean, is there like a rules? I mean, what's the rules of the road? I mean, state of the right. I mean, what I mean, what what's going? What's gonna have toe happen? Okay, just logistically. >>Well, this is very important because, uh and I've I've had access thio information space derived information for most of my flying career. But the amount of information that we need operate effectively in the 21st century is much greater than Thanet has been in the past. Let me describe the environment s so you can appreciate a little bit more what our challenges are. Where, from a space perspective, we're going to see a new exponential increase in the number of systems that could be satellites. Uh, users and applications, right? And so eso we're going we're growing rapidly into an environment where it's no longer practical to just simply evolved or operate on a perimeter security model. We and with this and as I was brought up previously, we're gonna try to bring in MAWR commercial capabilities. There is a tremendous benefit with increasing the diversity of sources of information. We use it right now. The military relies very heavily on commercial SAT com. We have our military capabilities, but the commercial capabilities give us capacity that we need and we can. We can vary that over time. The same will be true for remote sensing for other broadband communications capabilities on doing other interesting effects. Also, in the modern era, we doom or operations with our friends and allies, our regional partners all around the world, in order to really improve our interoperability and have rapid exchange of information, commercial information, sources and capabilities provides the best means of doing that. So that so that the imperative is very important and what all this describes if you want to put one word on it. ISS, we're involving into ah hybrid space architectures where it's gonna be imperative that we protect the integrity of information and the cyber security of the network for the things most important to us from a national security standpoint. But we have to have the rules that that allows us to freely exchange information rapidly and in a way that that we can guarantee that the right users are getting the right information at the right. >>We're gonna come back to that on the skill set and opportunities for people driving. That's just looking. There's so much opportunity. Preston, I want you to react to this. I interviewed General Keith Alexander last year. He formerly ran Cyber Command. Um, now he's building Cyber Security Technologies, and his whole thesis is you have to share. So the question is, how do you share and lock stuff down at the same time when you have ah, multi sided marketplace in space? You know, suppliers, users, systems. This is a huge security challenge. What's your reaction to this? Because we're intersecting all these things space and cybersecurity. It's just not easy. What's your reaction? >>Absolutely, Absolutely. And what I would say in response to that first would be that security really needs to be baked into the onset of how we develop and implement and deploy our space systems. Um, there's there's always going to be the need to collect and share data across multiple entities, particularly when we're changing scientific data with our mission partners. Eso with that necessitates that we have a security view from the onset, right? We have a system spaces, and they're designed to share information across the world. How do we make sure that those, uh, those other those communication channels so secure, free from interception free from disruption? So they're really done? That necessitates of our space leaders in our cyber leaders to be joining the hip about how to secure our space systems, and the communications there in Clinton brought up a really good point of. And then I'm gonna elaborate on a little bit, just toe invite a little bit more context and talk about some the complexities and challenges we face with this advent of new space and and all of our great commercial partners coming into therefore way, that's going to present a very significant supply chain risk management problems that we have to get our hands around as well. But we have these manufacturers developing these highly specialized components for the space instruments, Um, that as it stands right now, it's very little oversight And how those things air produced, manufactured, put into the space systems communication channels that they use ports protocols that they use to communicate. And that's gonna be a significant challenge for us to get get our hands around. So again, cybersecurity being brought in. And the very onset of these development thes thes decisions in these life cycles was certainly put us in a best better position to secure that data in our in our space missions. >>Yeah, E just pick up on that. You don't mind? Preston made such a really good point there. But you have to bake security in up front, and you know there's a challenge and there's an opportunity, you know, with a lot of our systems today. It was built in a pre cyber security environment, especially our government systems that were built, you know, in many cases 10 years ago, 15 years ago are still on orbit today, and we're thankful that they are. But as we look at this new environment and we understand the threats, if we bake cybersecurity in upfront weaken balance that open application versus the risk a long as we do it up front. And you know, that's one of the reasons that our company developed what we call govcloud, which is a secure cloud, that we use thio to manage data that our customers who want to do work with the federal government or other governments or the national security apparatus. They can operate in that space with the built in and baked in cybersecurity protocols. We have a secret region that both can handle secret and top secret information for the same reasons. But when you bake security into the upfront applications, that really allows you to balance that risk between making it available and accessible in sort of an open architecture way. But being sure that it's protected through things like ITAR certifications and fed ramp, uh, another ice T certifications that we have in place. So that's just a really important point. >>Let's stay high level for a man. You mentioned a little bit of those those govcloud, which made me think about you know, the tactical edge in the military analogy, but also with space similar theater. It's just another theater and you want to stand stuff up. Whether it's communications and have facilities, you gotta do it rapidly, and you gotta do it in a very agile, secure, I high availability secure way. So it's not the old waterfall planning. You gotta be fast is different. Cloud does things different? How do you talk to the young people out there, whether it's apparent with with kids in elementary and middle school to high school, college grad level or someone in the workforce? Because there are no previous jobs, that kind of map to the needs out there because you're talking about new skills, you could be an archaeologist and be the best cyber security guru on the planet. You don't have to have that. There's no degree for what, what we're talking about here. This >>is >>the big confusion around education. I mean, you gotta you like math and you could code you can Anything who wants to comment on that? Because I think this >>is the core issue. I'll say there are more and more programs growing around that educational need, and I could talk about a few things we're doing to, but I just wanna make an observation about what you just said about the need. And how do you get kids involved and interested? Interestingly, I think it's already happening, right. The good news. We're already developing that affinity. My four year old granddaughter can walk over, pick up my iPad, turn it on. Somehow she knows my account information, gets into my account, pulls up in application, starts playing a game. All before I really even realized she had my iPad. I mean, when when kids grow up on the cloud and in technology, it creates that natural proficiency. I think what we have to do is take that natural interest and give them the skill set the tools and capabilities that go with it so that we're managing, you know, the the interest with the technical skills. >>And also, like a fast I mean, just the the hackers are getting educated. Justus fast. Steve. I mean e mean Bucky. What do you do here? You CIt's the classic. Just keep chasing skills. I mean, there are new skills. What are some of those skills? >>Why would I amplify eloquent? Just said, First of all, the, uh, you know, cyber is one of those technology areas where commercial side not not the government is really kind of leading away and does a significant amount of research and development. Ah, billions of dollars are spent every year Thio to evolve new capabilities. And a lot of those companies are, you know, operated and and in some cases, led by folks in their early twenties. So the S O. This is definitely an era and a generation that is really poised in position. Well, uh, Thio take on this challenge. There's some unique aspects to space. Once we deploy a system, uh, it will be able to give me hard to service it, and we're developing capabilities now so that we could go up and and do system upgrades. But that's not a normal thing in space that just because the the technical means isn't there yet. So having software to find capabilities, I's gonna be really paramount being able to dio unique things. The cloud is huge. The cloud is centric to this or architectural, and it's kind of funny because d o d we joke because we just discovered the cloud, you know, a couple years ago. But the club has been around for a while and, uh, and it's going to give us scalability on and the growth potential for doing amazing things with a big Data Analytics. But as Preston said, it's all for not if if we can't trust the data that we receive. And so one of the concepts for future architectures is to evolve into a zero trust model where we trust nothing. We verify and authenticate everyone. And, uh, and that's that's probably a good, uh, point of departure as we look forward into our cybersecurity for space systems into the future. >>Block everyone. Preston. Your reaction to all this gaps, skills, What's needed. I mean it Z everyone's trying to squint through this >>absolutely. And I wanna want to shift gears a little bit and talk about the space agencies and organizations that are responsible for deploying these spaces into submission. So what is gonna take in this new era on, and what do we need from the workforce to be responsive to the challenges that we're seeing? First thing that comes to mind is creating a culture of security throughout aerospace right and ensuring that Azzawi mentioned before security isn't an afterthought. It's sort of baked into our models that we deploy and our rhetoric as well, right? And because again we hire our spaces in years to do it very highly. Specialized thing for a highly specialized, uh, it's topic. Our effort, if we start to incorporate rhetorically the importance of cybersecurity two missing success and missing assurance that's going to lend itself toe having more, more prepared on more capable system engineers that will be able to respond to the threats accordingly. Traditionally, what we see in organizational models it's that there's a cyber security team that's responsible for the for the whole kit kaboodle across the entire infrastructure, from enterprise systems to specialize, specialize, space systems and then a small pocket of spaces, years that that that are really there to perform their tasks on space systems. We really need to bridge that gap. We need to think about cybersecurity holistically, the skills that are necessary for your enterprise. I t security teams need to be the same skills that we need to look for for our system engineers on the flight side. So organizationally we need we need to address that issue and approach it, um todo responsive to the challenges we see our our space systems, >>new space, new culture, new skills. One of the things I want to bring up is looking for success formulas. You know, one of the things we've been seeing in the past 10 years of doing the Cube, which is, you know, we've been called the ESPN of Tech is that there's been kind of like a game ification. I want to. I don't wanna say sports because sports is different, but you're seeing robotics clubs pop up in some schools. It's like a varsity sport you're seeing, you know, twitch and you've got gamers out there, so you're seeing fun built into it. I think Cal Poly's got some challenges going on there, and then scholarships air behind it. So it's almost as if, you know, rather than going to a private sports training to get that scholarship, that never happens. There's so many more scholarship opportunities for are not scholarship, but just job opportunities and even scholarships we've covered as part of this conference. Uh, it's a whole new world of culture. It's much different than when I grew up, which was you know, you got math, science and English. You did >>it >>and you went into your track. Anyone want to comment on this new culture? Because I do believe that there is some new patterns emerging and some best practices anyone share any? >>Yeah, I do, because as you talked about robotics clubs and that sort of things, but those were great and I'm glad those air happening. And that's generating the interest, right? The whole gaming culture generating interest Robotic generates a lot of interest. Space right has captured the American in the world attention as well, with some recent NASA activities and all for the right reasons. But it's again, it's about taking that interested in providing the right skills along the way. So I'll tell you a couple of things. We're doing it a w s that we found success with. The first one is a program called A W s Academy. And this is where we have developed a cloud, uh, program a cloud certification. This is ah, cloud curriculum, if you will, and it's free and it's ready to teach. Our experts have developed this and we're ready to report it to a two year and four year colleges that they can use is part of the curriculum free of charge. And so we're seeing some real value there. And in fact, the governor's in Utah and Arizona recently adopted this program for their two year schools statewide again, where it's already to teach curriculum built by some of the best experts in the industry s so that we can try to get that skills to the people that are interested. We have another program called A W s educate, and this is for students to. But the idea behind this is we have 12 cracks and you can get up to 50 hours of free training that lead to A W s certification, that sort of thing. And then what's really interesting about that is all of our partners around the world that have tied into this program we manage what we call it ws educate Job board. And so if you have completed this educate program now, you can go to that job board and be linked directly with companies that want people with those skills we just helped you get. And it's a perfect match in a perfect marriage there. That one other piece real quickly that we're proud of is the aws Uh restart program. And that's where people who are unemployed, underemployed or transitioning can can go online. Self paced. We have over 500 courses they can take to try to develop those initial skills and get into the industry. And that's been very popular, too, So that those air a couple of things we're really trying to lean into >>anyone else want to react. Thio that question patterns success, best practices, new culture. >>I'd like Thio. The the wonderful thing about what you just touched on is problem solving, right, And there's some very, very good methodologies that are being taught in the universities and through programs like Hacking for Defense, which is sponsored by the National Security Innovation Network, a component of the I you where I work but the But whether you're using a lien methodologies or design school principals or any other method, the thing that's wonderful right now and not just, uh, where I work at the U. The Space force is doing this is well, but we're putting the problem out there for innovators to tackle, And so, rather than be prescriptive of the solutions that we want to procure, we want we want the best minds at all levels to be able to work on the problem. Uh, look at how they can leverage other commercial solutions infrastructure partnerships, uh, Thio to come up with a solution that we can that we can rapidly employ and scale. And if it's a dual use solution or whether it's, uh, civil military or or commercial, uh, in any of the other government solutions. Uh, that's really the best win for for the nation, because that commercial capability again allows us to scale globally and share those best practices with all of our friends and allies. People who share our values >>win win to this commercial. There's a business model potential financial benefits as well. Societal impact Preston. I want to come to you, JPL, NASA. I mean, you work in one of the most awesome places and you know, to me, you know, if you said to me, Hey, John, come working JP like I'm not smart enough to go there like I mean, like, it's a pretty It's intimidating, it might seem >>share folks out there, >>they can get there. I mean, it's you can get there if you have the right skills. I mean I'm just making that up. But, I mean, it is known to be super smart And is it attainable? So share your thoughts on this new culture because you could get the skills to get there. What's your take on all this >>s a bucket. Just missing something that really resonated with me, right? It's do it your love office. So if you put on the front engineer, the first thing you're gonna try to do is pick it apart. Be innovative, be creative and ways to solve that issue. And it has been really encouraging to me to see the ground welcome support an engagement that we've seen across our system. Engineers in space. I love space partners. A tackling the problem of cyber. Now that they know the West at risk on some of these cyber security threats that that they're facing with our space systems, they definitely want to be involved. They want to take the lead. They want to figure things out. They wanna be innovative and creative in that problem solving eso jpl We're doing a few things. Thio Raise the awareness Onda create a culture of security. Andi also create cyber advocates, cybersecurity advocates across our space engineers. We host events like hacked the lad, for example, and forgive me. Take a pause to think about the worst case scenarios that could that could result from that. But it certainly invites a culture of creative problem solving. Um, this is something that that kids really enjoy that are system engineers really enjoyed being a part off. Um, it's something that's new refreshing to them. Eso we were doing things like hosting a monthly cybersecurity advocacy group. When we talk about some of the cyber landscape of our space systems and invite our engineers into the conversation, we do outweighs programs specifically designed to to capture, um, our young folks, uh, young engineers to deceive. They would be interested and show them what this type of security has to offer by ways of data Analytic, since the engineering and those have been really, really successful identifying and bringing in new talent to address the skill gaps. >>Steve, I want to ask you about the d. O. D. You mentioned some of the commercial things. How are you guys engaging the commercial to solve the space issue? Because, um, the normalization in the economy with GPS just seeing spaces impacts everybody's lives. We we know that, um, it's been talked about. And and there's many, many examples. How are you guys the D o. D. From a security standpoint and or just from an advancement innovation standpoint, engaging with commercials, commercial entities and commercial folks? >>Well, I'll throw. I'll throw a, uh, I'll throw ah, compliment to Clint because he did such an outstanding job. The space forces already oriented, uh, towards ah, commercial where it's appropriate and extending the arms. Leveraging the half works on the Space Enterprise Consortium and other tools that allow for the entrepreneurs in the space force Thio work with their counterparts in a commercial community. And you see this with the, uh, you know, leveraging space X away to, uh, small companies who are doing extraordinary things to help build space situational awareness and, uh, s So it's it's the people who make this all happen. And what we do at at the D. O. D level, uh, work at the Office of Secretary defense level is we wanna make sure that they have the right tools to be able to do that in a way that allows these commercial companies to work with in this case of a space force or with cyber command and ways that doesn't redefine that. The nature of the company we want we want We want commercial companies to have, ah, great experience working with d o d. And we want d o d toe have the similar experience working, working with a commercial community, and and we actually work interagency projects to So you're going to see, uh, General Raymond, uh, hey, just recently signed an agreement with the NASA Esa, you're gonna see interagency collaborations on space that will include commercial capabilities as well. So when we speak as one government were not. You know, we're one voice, and that's gonna be tremendous, because if you're a commercial company on you can you can develop a capability that solves problems across the entire space enterprise on the government side. How great is that, Right. That's a scaling. Your solution, gentlemen. Let >>me pick you back on that, if you don't mind. I'm really excited about that. I mentioned new space, and Bucky talked about that too. You know, I've been flying satellites for 30 years, and there was a time where you know the U. S. Government national security. We wouldn't let anybody else look at him. Touch him. Plug into, um, anything else, right. And that probably worked at the time. >>But >>the world has changed. And more >>importantly, >>um, there is commercial technology and capability available today, and there's no way the U. S government or national security that national Intel community can afford economically >>to >>fund all that investment solely anymore. We don't have the manpower to do it anymore. So we have this perfect marriage of a burgeoning industry that has capabilities and it has re sources. And it has trained manpower. And we are seeing whether it's US Space Force, whether it's the intelligence community, whether it's NASA, we're seeing that opened up to commercial providers more than I've ever seen in my career. And I can tell you the customers I work with every day in a W s. We're building an entire ecosystem now that they understand how they can plug in and participate in that, and we're just seeing growth. But more importantly, we're seeing advanced capability at cheaper cost because of that hybrid model. So that really is exciting. >>Preston. You know you mentioned earlier supply chain. I don't think I think you didn't use the word supply chain. Maybe you did. But you know about the components. Um, you start opening things up and and your what you said baking it in to the beginning, which is well known. Uh, premise. It's complicated. So take me through again, Like how this all gonna work securely because And what's needed for skill sets because, you know, you're gonna open. You got open source software, which again, that's open. We live in a free society in the United States of America, so we can't lock everything down. You got components that are gonna be built anywhere all around the world from vendors that aren't just a certified >>or maybe >>certified. Um, it's pretty crazy. So just weigh in on this key point because I think Clint has it right. And but that's gonna be solved. What's your view on this? >>Absolutely. And I think it really, really start a top, right? And if you look back, you know, across, um in this country, particularly, you take the financial industry, for example, when when that was a burgeoning industry, what had to happen to ensure that across the board. Um, you know, your your finances were protected these way. Implemented regulations from the top, right? Yeah. And same thing with our health care industry. We implemented regulations, and I believe that's the same approach we're gonna need to take with our space systems in our space >>industry >>without being too directive or prescriptive. Instance she ating a core set of principles across the board for our manufacturers of space instruments for deployment and development of space systems on for how space data and scientific data is passed back and forth. Eso really? We're gonna need to take this. Ah, holistic approach. Thio, how we address this issue with cyber security is not gonna be easy. It's gonna be very challenging, but we need to set the guard rails for exactly what goes into our space systems, how they operate and how they communicate. >>Alright, so let's tie this back to the theme, um, Steve and Clint, because this is all about workforce gaps, opportunities. Um, Steve, you mentioned software defined. You can't do break fix in space. You can't just send a technician up in the space to fix a component. You gotta be software defined. We're talking about holistic approach, about commercial talk about business model technology with software and policy. We need people to think through, like you know. What the hell are you gonna do here, right? Do you just noticed road at the side of the road to drive on? There's no rules of engagement. So what I'm seeing is certainly software Check. If you wanna have a job for the next millennial software policy who solves two problems, what does freedom looked like in space Congestion Contention and then, obviously, business model. Can you guys comment on these three areas? Do you agree? And what specific person might be studying in grad school or undergraduate or in high school saying, Hey, I'm not a techie, but they can contribute your thoughts. I'll >>start off with, uh, speak on on behalf of the government today. I would just say that as policy goes, we need to definitely make sure that we're looking towards the future. Ah, lot of our policy was established in the past under different conditions, and, uh, and if there's anything that you cannot say today is that space is the same as it was even 10 years ago. So the so It's really important that our policy evolves and recognizes that that technology is going to enable not just a new ways of doing things, but also force us to maybe change or or get rid of obsolete policies that will inhibit our ability to innovate and grow and maintain peace with with a rapid, evolving threat. The for the for the audience today, Uh, you know, you want some job assurance, cybersecurity and space it's gonna be It's gonna be an unbelievable, uh, next, uh, few decades and I couldn't think of a more exciting for people to get into because, you know, spaces Ah, harsh environment. We're gonna have a hard time just dud being able differentiate, you know, anomalies that occur just because of the environment versus something that's being hacked. And so JPL has been doing this for years on they have Cem Cem great approaches, but but this is this is gonna be important if you put humans on the moon and you're going to sustain them there. Those life support systems are gonna be using, you know, state of the art computer technology, and which means, is also vulnerable. And so eso the consequences of us not being prepared? Uh, not just from our national security standpoint, but from our space exploration and our commercial, uh, economic growth in space over the long term all gonna be hinged on this cyber security environment. >>Clint, your thoughts on this too ill to get. >>Yeah. So I certainly agree with Bucky. But you said something a moment ago that Bucky was talking about as well. But that's the idea that you know in space, you can't just reach out and touch the satellite and do maintenance on the satellite the way you can't a car or a tank or a plane or a ship or something like that. And that is true. However, right, comma, I want to point out. You know, the satellite servicing industry is starting to develop where they're looking at robotic techniques in Cape abilities to go up in services satellite on orbit. And that's very promising off course. You got to think through the security policy that goes with that, of course. But the other thing that's really exciting is with artificial intelligence and machine learning and edge computing and database analytics and all those things that right on the cloud. You may not even need to send a robotic vehicle to a satellite, right? If you can upload and download software defined, fill in the blank right, maybe even fundamentally changing the mission package or the persona, if you will, of the satellite or the spacecraft. And that's really exciting to, ah, lot >>of >>security policy that you've gotta work through. But again, the cloud just opens up so many opportunities to continue to push the boundaries. You know, on the AWS team, the aerospace and satellite team, which is, you know, the new team that I'm leading. Now our motto is to the stars through the cloud. And there are just so many exciting opportunities right for for all those capabilities that I just mentioned to the stars through the cloud >>President, your thoughts on this? >>Yes, eso won >>a >>little bit of time talking about some of the business model implications and some of the challenges that exists there. Um, in my experience, we're still working through a bit of a language barrier of how we define risk management for our space systems. Traditionally traditionally risk management models is it is very clear what poses a risk to a flight mission. Our space mission, our space system. Um, and we're still finding ways to communicate cyber risk in the same terms that are system engineers are space engineers have traditionally understood. Um, this is a bit of a qualitative versus quantitative, a language barrier. But however adopting a risk management model that includes cybersecurity, a za way to express wish risk to miss the success, I think I think it would be a very good thing is something that that we have been focused on the J. P o as we Aziz, we look at the 34 years beyond. How do >>we >>risk that gap and not only skills but communication of cyber risk and the way that our space engineers and our project engineers and a space system managers understand >>Clinton, like Thio talk about space Force because this is the most popular new thing. It's only a couple of nine months in roughly not even a year, uh, already changing involving based on some of the reporting we've done even here at this symposium and on the Internet. Um, you know, when I was growing up, you know, I wasn't there when JFK said, you know, we're gonna get to the moon. I was born in the sixties, so, you know, when I was graduating my degree, you know, Draper Labs, Lincoln Lab, JPL, their pipeline and people wasn't like a surge of job openings. Um, so this kind of this new space new space race, you know, Kennedy also said that Torch has been passed to a new generation of Americans. So in a way that's happening right now with space force. A new generation is here is a digital generation. It's multi disciplinary generation. Could you take a minute and share, uh, for for our audience? And here at this symposium, um, the mission of Space Force and where you see it going because this truly is different. And I think anyone who's young e I mean, you know, if this was happening when I was in college would be like dropping everything. I'm in there, I think, cause there's so many areas thio jump into, um, it's >>intellectually challenging. >>It's intoxicating in some level. So can you share your thoughts? >>Yeah. Happy to do that. Of course. I I need to remind everybody that as a week ago I'm formally retired. So I'm not an official spokesman for US forces. But with that, you know, it said I did spend the last 18 months planning for it, designing and standing it up. And I'll tell you what's really exciting is you know, the commander of, uh, US Base Force General J. Raymond, who's the right leader at the right time. No question in my >>mind. But >>he said, I want to stand up the Space Force as the first fully digital service in the United States. Right? So he is trying >>to bake >>cloud baked cybersecurity, baked digital transformational processes and everything we did. And that was a guidance he gave us every day, every day. When we rolled in. He said, Remember, guys, I don't wanna be the same. I don't wanna be stale. I want new thinking, new capabilities and I want it all to be digital on. That's one of the reasons When we brought the first wave of people into the space force, we brought in space operations, right. People like me that flew satellites and launch rockets, we brought in cyber space experts, and we brought in intelligence experts. Those were the first three waves of people because of that, you know, perfect synergy between space and cyber and intel all wrapped in >>it. >>And so that was really, really smart. The other thing I'll say just about, you know, Kennedy's work. We're going to get to the moon. So here we are. Now we're going back to the Moon Project Artemus that NASA is working next man first woman on the moon by 2024 is the plan and >>then >>with designs to put a permanent presence on the moon and then lean off to march. So there was a lot to get excited about. I will tell you, as we were taking applications and looking at rounding out filling out the village in the U. S. Space Force, we were overwhelmed with the number of people that wanted, and that was a really, really good things. So they're off to a good start, and they're just gonna accomplishment major things. I know for sure. >>Preston, your thoughts on this new generation people out there were like I could get into this. This is a path. What's your what's your opinion on this? And what's your >>E could, uh, you so bold as to say >>that >>I feel like I'm a part of that new generation eso I grew up very much into space. Uh, looking at, um, listen to my, uh, folks I looked up to like Carl Sagan. Like like Neil Tyson. DeGrasse on did really feeling affinity for what What this country has done is for is a space program are focused on space exploration on bond. Through that, I got into our security, as it means from the military. And I just because I feel so fortunate that I could merge both of those worlds because of because of the generational, um, tailoring that we do thio promote space exploration and also the advent of cybersecurity expertise that is needed in this country. I feel like that. We are We are seeing a conversions of this too. I see a lot of young people really getting into space exploration. I see a lot of young people as well. Um uh, gravitating toward cybersecurity as a as a course of study. And to see those two worlds colliding and converse is something that's very near and dear to me. And again, I I feel like I'm a byproduct of that conversion, which is which, Really, Bothwell for space security in the future, >>we'll your great leader and inspiration. Certainly. Senior person as well. Congratulations, Steve. You know, young people motivational. I mean, get going. Get off the sidelines. Jump in Water is fine, Right? Come on in. What's your view on motivating the young workforce out there and anyone thinking about applying their skills on bringing something to the table? >>Well, look at the options today. You have civil space President represents you have military space. Uh, you have commercial space on and even, you know, in academia, the research, the potential as a as an aspiring cyber professional. All of you should be thinking about when we when we When? When we first invented the orbit, which eventually became the Internet, Uh, on Lee, we were, uh if all we had the insight to think Well, geez, you know whether the security implications 2030 years from now of this thing scaling on growing and I think was really good about today's era. Especially as Clint said, because we were building this space infrastructure with a cyber professionals at ground zero on dso the So the opportunity there is to look out into the future and say we're not just trying to secure independent her systems today and assure the free for all of of information for commerce. You know, the GPS signal, Uh, is Justus much in need of protection as anything else tied to our economy, But the would have fantastic mission. And you could do that. Uh, here on the ground. You could do it, uh, at a great companies like Amazon Web services. But you can also one of these states. Perhaps we go and be part of that contingency that goes and does the, uh, the se's oh job that that president has on the moon or on Mars and, uh, space will space will get boring within a generation or two because they'll just be seen as one continuum of everything we have here on Earth. And, uh, and that would be after our time. But in the meantime, is a very exciting place to be. And I know if I was in in my twenties, I wanna be, uh, jumping in with both feet into it. >>Yeah, great stuff. I mean, I think space is gonna be around for a long long time. It's super exciting and cybersecurity making it secure. And there's so many areas defeating on. Gentlemen, thank you very much for your awesome insight. Great panel. Um, great inspiration. Every one of you guys. Thank you very much for for sharing for the space and cybersecurity symposium. Appreciate it. Thank you very much. >>Thanks, John. Thank you. Thank you. Okay, >>I'm >>John for your host for the Space and Cybersecurity Symposium. Thanks for watching.

from around the globe it's thecube covering space and cyber security symposium 2020 hosted by cal poly hello and welcome to thecube's coverage we're here hosting with cal poly an amazing event space in the intersection of cyber security this session is defending satellite and space infrastructure from cyber threats got two great guests we've got major general john shaw combined four space component commander u.s space command and vandenberg air force base in california and roland cuello who's the ceo of maverick space systems gentlemen thank you for spending the time to come on to this session for the cal poly space and cyber security symposium appreciate it absolutely um guys defending satellites and space infrastructure is the new domain obviously it's a war warfighting domain it's also the future of the world and this is an important topic because we rely on space now for our everyday life and it's becoming more and more critical everyone knows how their phones work and gps just small examples of all the impacts i'd like to discuss with this hour this topic with you guys so if we can have you guys do an opening statement general if you can start with your opening statement we'll take it from there thanks john and greetings from vandenberg air force base we are just down the road from cal poly here on the central coast of california and uh very proud to be part of this uh effort and part of the partnership that we have with with cal poly on a number of fronts um i should uh so in in my job here i actually uh have two hats that i wear and it's i think worth talking briefly about those to set the context for our discussion you know we had two major organizational events within our department of defense with regard to space last year in 2019 and probably the one that made the most headlines was the stand-up of the united states space force that happened uh december 20th last year and again momentous the first new branch in our military since 1947 uh and uh it is a it's just over nine months old now as we're making this recording uh and already we're seeing a lot of change uh with regard to how we're approaching uh organizing training and equipping on a service side or space capabilities and so i uh in that with regard to the space force the hat i wear there is commander of space operations command that was what was once 14th air force when we were still part of the air force here at vandenberg and in that role i'm responsible for the operational capabilities that we bring to the joint warfighter and to the world from a space perspective didn't make quite as many headlines but another major change that happened last year was the uh the reincarnation i guess i would say of united states space command and that is a combatant command it's how our department of defense organizes to actually conduct warfighting operations um most people are more familiar perhaps with uh central command centcom or northern command northcom or even strategic command stratcom well now we have a space com we actually had one from 1985 until 2002 and then stood it down in the wake of the 9 11 attacks and a reorganization of homeland security but we've now stood up a separate command again operationally to conduct joint space operations and in that organization i wear a hat as a component commander and that's the combined force-based component command uh working with other all the additional capabilities that other services bring as well as our allies that combined in that title means that uh i under certain circumstances i would lead an allied effort uh in space operations and so it's actually a terrific job to have here on the central coast of california uh both working the uh how we bring space capabilities to the fight on the space force side and then how we actually operate those capabilities it's a point of joint in support of joint warfighters around the world um and and national security interests so that's the context now what el i i also should mention you kind of alluded to john you're beginning that we're kind of in a change situation than we were a number of years ago and that space we now see space as a warfighting domain for most of my career going back a little ways most of my my focus in my jobs was making sure i could bring space capabilities to those that needed them bringing gps to that special operations uh soldier on the ground somewhere in the world bringing satellite communications for our nuclear command and control bringing those capabilities for other uses but i didn't have to worry in most of my career about actually defending those space capabilities themselves well now we do we've actually gone to a point where we're are being threatened in space we now are treating it more like any other domain normalizing in that regard as a warfighting domain and so we're going through some relatively emergent efforts to protect and defend our capabilities in space to to design our capabilities to be defended and perhaps most of all to train our people for this new mission set so it's a very exciting time and i know we'll get into it but you can't get very far into talking about all these space capabilities and how we want to protect and defend them and how we're going to continue their ability to deliver to warfighters around the globe without talking about cyber because they fit together very closely so anyway thanks for the chance to be here today and i look forward to the discussion general thank you so much for that opening statement and i would just say that not only is it historic with the space force it's super exciting because it opens up so much more challenges and opportunities for to do more and to do things differently so i appreciate that statement roland your opening statement your your job is to put stuff in space faster cheaper smaller better your opening statement please um yes um thank you john um and yes you know to um general shaw's point you know with with the space domain and the need to protect it now um is incredibly important and i hope that we are more of a help um than a thorn in your side um in terms of you know building satellites smaller faster cheaper um you know and um definitely looking forward to this discussion and you know figuring out ways where um the entire space domain can work together you know from industry to to us government even to the academic environment as well so first would like to say and preface this by saying i am not a cyber security expert um we you know we build satellites um and uh we launch them into orbit um but we are by no means you know cyber security experts and that's why um you know we like to partner with organizations like the california cyber security institute because they help us you know navigate these requirements um so um so i'm the ceo of um of maverick space systems we are a small aerospace business in san luis obispo california and we provide small satellite hardware and service solutions to a wide range of customers all the way from the academic environment to the us government and everything in between we support customers through an entire you know program life cycle from mission architecture and formulation all the way to getting these customer satellites in orbit and so what we try to do is um provide hardware and services that basically make it easier for customers to get their satellites into orbit and to operate so whether it be reducing mass or volume um creating greater launch opportunities or providing um the infrastructure and the technology um to help those innovations you know mature in orbit you know that's you know that's what we do our team has experienced over the last 20 years working with small satellites and definitely fortunate to be part of the team that invented the cubesat standard by cal poly and stanford uh back in 2000 and so you know we are in you know vandenberg's backyard um we came from cal poly san luis obispo um and you know our um our hearts are fond you know of this area and working with the local community um a lot of that success um that we have had is directly attributable um to the experiences that we learned as students um working on satellite programs from our professors and mentors um you know that's you know all you know thanks to cal poly so just wanted to tell a quick story so you know back in 2000 just imagine a small group of undergraduate students you know myself included with the daunting task of launching multiple satellites from five different countries on a russian launch vehicle um you know many of us were only 18 or 19 not even at the legal age to drink yet um but as you know essentially teenagers we're managing million dollar budgets um and we're coordinating groups um from around the world um and we knew that we knew what we needed to accomplish um yet we didn't really know um what we were doing when we first started um the university was extremely supportive um and you know that's the cal poly learn by doing philosophy um i remember you know the first time we had a meeting with our university chief legal counsel and we were discussing the need to to register with the state department for itar nobody really knew what itar was back then um and you know discussing this with the chief legal counsel um you know she was asking what is itar um and we essentially had to explain you know this is um launching satellites as part of the um the u.s munitions list and essentially we have a similar situation you know exporting munitions um you know we are in similar categories um you know as you know as weapons um and so you know after that initial shock um everybody jumped in you know both feet forward um the university um you know our head legal counsel professors mentors and the students um you know knew we needed to tackle this problem um because you know the the need was there um to launch these small satellites and um you know the the reason you know this is important to capture the entire spectrum of users of the community um is that the technology and the you know innovation of the small satellite industry occurs at all levels you know so we have academia commercial national governments we even have high schools and middle schools getting involved and you know building satellite hardware um and the thing is you know the the importance of cyber security is incredibly important because it touches all of these programs and it touches you know people um at a very young age um and so you know we hope to have a conversation today um to figure out you know how do we um create an environment where we allow these programs to thrive but we also you know protect and you know keep their data safe as well thank you very much roland appreciate that uh story too as well thanks for your opening statement gentlemen i mean i love this topic because defending the assets in space is is as obvious um you look at it but there's a bigger picture going on in our world right now and generally you kind of pointed out the historic nature of space force and how it's changing already operationally training skills tools all that stuff is revolving you know in the tech world that i live in you know change the world is a topic they use that's thrown around a lot you can change the world a lot of young people we have just other panels on this where we're talking about how to motivate young people changing the world is what it's all about with technology for the better evolution is just an extension of another domain in this case space is just an extension of other domains similar things are happening but it's different there's a huge opportunity to change the world so it's faster there's an expanded commercial landscape out there certainly government space systems are moving and changing how do we address the importance of cyber security in space general we'll start with you because this is real it's exciting if you're a young person there's touch points of things to jump into tech building hardware to changing laws and and everything in between is an opportunity and it's exciting and it's truly a chance to change the world how does the commercial government space systems teams address the importance of cyber security so john i think it starts with with the realization that as i like to say that cyber and space are bffs uh there's nothing that we do on the cutting edge of space that isn't heavy reliant heavily reliant on the cutting edge of cyber and frankly there's probably nothing on the cutting edge of cyber that doesn't have a space application and when you realize that you see how how closely those are intertwined as we need to move forward at at speed it becomes fundamental to to the to answering your question let me give a couple examples we one of the biggest challenges i have on a daily basis is understanding what's going on in the space domain those on the on the on the surface of the planet talk about tyranny of distance across the oceans across large land masses and i talk about the tyranny of volume and you know right now we're looking out as far as the lunar sphere there's activity that's extending out to the out there we expect nasa to be conducting uh perhaps uh human operations in the lunar environment in the next few years so it extends out that far when you do the math that's a huge volume how do you do that how do you understand what's happening in real time in within that volume it is a big data problem by the very definition of that that kind of effort to that kind of challenge and to do it successfully in the years ahead it's going to require many many sensors and the fusion of data of all kinds to present a picture and then analytics and predictive analytics that are going to deliver an idea of what's going on in the space arena and that's just if people are not up to mischief once you have threats introduced into that environment it is even more challenging so i'd say it's a big data problem that we'll be enjoying uh tackling in the years ahead a second example is you know we if i if i had to if we had to take a vote of what were the most uh amazing robots that have ever been designed by humans i think that spacecraft would have to be up there on the list whether it's the nasa spacecraft that explore other planets or the ones that we or gps satellites that that amazingly uh provide a wonderful service to the entire globe uh and beyond they are amazing technological machines that's not going to stop i mean all the work that roland talked about at the at the even even that we're doing it at the kind of the microsoft level is is putting cutting-edge technology into smaller packages you can to get some sort of capability out of that as we expand our activities further and further into space for national security purposes or for exploration or commercial or civil the the cutting edge technologies of uh artificial intelligence uh and machine to machine engagements and machine learning are going to be part of that design work moving forward um and then there's the threat piece as we try to as we operate these these capabilities how these constellations grow that's going to be done via networks and as i've already pointed out space is a warfighting domain that means those networks will come under attack we expect that they will and that may happen early on in a conflict it may happen during peace time in the same way that we see cyber attacks all the time everywhere in many sectors of of activity and so by painting that picture you kind of get you we start to see how it's intertwined at the very very base most basic level the cutting edge of cyber and cutting edge of space with that then comes the need to any cutting edge cyber security capability that we have is naturally going to be needed as we develop space capabilities and we're going to have to bake that in from the very beginning we haven't done that in the past as well as we should but moving forward from this point on it will be an essential ingredient that we work into all of our new capability roland we're talking about now critical infrastructure we're talking about new capabilities being addressed really fast so it's kind of chaotic now there's threats so it's not as easy as just having capabilities because you've got to deal with the threats the general just pointed out but now you've got critical infrastructure which then will enable other things down down the line how do you protect it how do we address this how do you see this being addressed from a security standpoint because you know malware these techniques can be mapped in as extended into into space and takeovers wartime peacetime these things are all going to be under threat that's pretty well understood i think people kind of get that how do we address it what's your what's your take yeah you know absolutely and you know i couldn't agree more with general shaw you know with cyber security and space being so intertwined um and you know i think with fast and rapid innovation um comes you know the opportunity for threats especially um if you have bad actors um that you know want to cause harm and so you know as a technology innovator and you're pushing the bounds um you kind of have a common goal of um you know doing the best you can um and you know pushing the technology balance making it smaller faster cheaper um but a lot of times what entrepreneurs and you know small businesses and supply chains um are doing and don't realize it is a lot of these components are dual use right i mean you could have a very benign commercial application but then a small you know modification to it and turn it into a military application and if you do have these bad actors they can exploit that and so you know i think the the big thing is um creating a organization that is you know non-biased that just wants to kind of level the playing field for everybody to create a set standard for cyber security in space i think you know one group that would be perfect for that you know is um cci um you know they understand both the cybersecurity side of things and they also have you know at cal poly um you know the the small satellite group um and you know just having kind of a a clearinghouse or um an agency where um can provide information that is free um you know you don't need a membership for and to be able to kind of collect that but also you know reach out to the entire value chain you know for a mission and um making them aware um of you know what potential capabilities are and then how it might um be you know potentially used as a weapon um and you know keeping them informed because i think you know the the vast majority of people in the space industry just want to do the right thing and so how do we get that information free flowing to you know to the us government so that they can take that information create assessments and be able to not necessarily um stop threats from occurring presently but identify them long before that they would ever even happen um yeah that's you know general i want to i want to follow up on that real quick before we go to the next talk track critical infrastructure um you mentioned you know across the oceans long distance volume you know when you look at the physical world you know you had you know power grids here united states you had geography you had perimeters uh the notion of a perimeter and the moat this is and then you had digital comes in then you have we saw software open up and essentially take down this idea of a perimeter and from a defense standpoint and that everything changed and we had to fortify those critical assets uh in the u.s space increases the same problem statement significantly because it's you can't just have a perimeter you can't have a moat it's open it's everywhere like what digital's done and that's why we've seen a slurge of cyber in the past two decades attacks with software so this isn't going to go away you need the critical infrastructure you're putting it up there you're formulating it and you've got to protect it how do you view that because it's going to be an ongoing problem statement what's the current thinking yeah i i think my sense is a mindset that you can build a a firewall or a defense or some other uh system that isn't dynamic in his own right is probably not heading in the right direction i think cyber security in the future whether it's for our space systems or for other critical infrastructure is going to be a dynamic fight that happens at a machine-to-machine um a speed and dynamic um i don't think it's too far off where we will have uh machines writing their own code in real time to fight off attacks that are coming at them and by the way the offense will probably be doing the same kind of thing and so i i guess i would not want to think that the answer is something that you just build it and you leave it alone and it's good enough it's probably going to be a constantly evolving capability constantly reacting to new threats and staying ahead of those threats that's the kind of use case just to kind of you know as you were kind of anecdotal example is the exciting new software opportunities for computer science majors i mean i tell my young kids and everyone man it's more exciting now i wish i was 18 again it's so so exciting with ai bro i want to get your thoughts we were joking on another panel with the dod around space and the importance of it obviously and we're going to have that here and then we had a joke it's like oh software's defined everything it says software's everything ai and and i said well here in the united states companies had data centers and they went to the cloud and they said you can't do break fix it's hard to do break fix in space you can't just send a tech up i get that today but soon maybe robotics the general mentions robotics technologies and referencing some of the accomplishments fixing things is almost impossible in space but maybe form factors might get better certainly software will play a role what's your thoughts on that that landscape yeah absolutely you know for for software in orbit um you know there's there's a push for you know software-defined radios um to basically go from hardware to software um and you know that's that that's a critical link um if you can infiltrate that and a small satellite has propulsion on board you could you know take control of that satellite and cause a lot of havoc and so you know creating standards and you know that kind of um initial threshold of security um you know for let's say you know these radios you know communications and making that um available um to the entire supply chain to the satellite builders um and operators you know is incredibly key and you know that's again one of the initiatives that um that cci is um is tackling right now as well general i want to get your thoughts on best practices around cyber security um state of the art today uh and then some guiding principles and kind of how the if you shoot the trajectory forward what what might happen uh around um supply chain there's been many stories where oh we outsourced the chips and there's a little chip sitting in a thing and it's built by someone else in china and the software is written from someone in europe and the united states assembles it it gets shipped and it's it's corrupt and it has some cyber crime making i'm oversimplifying the the statement but this is what when you have space systems that involve intellectual property uh from multiple partners whether it's from software to creation and then deployment you get supply chain tiers what are some of the best practices that you see involving that don't stunt the innovation but continues to innovate but people can operate safely what's your thoughts yeah so on supply chain i think i think the symposium here is going to get to hear from lieutenant general jt thompson uh from space missile system center down in los angeles and and uh he's a he's just down the road from us there uh on the coast um and his team is is the one that we look to really focus on as he acquires and develop again bake in cyber security from the beginning and knowing where the components are coming from and and properly assessing those as you as you put together your space systems is a key uh piece of what his team is focused on so i expect we'll hear him talk about that when it talks to i think she asked the question a little more deeply about how do the best practices in terms of how we now develop moving forward well another way that we don't do it right is if we take a long time to build something and then you know general general jt thompson's folks take a while to build something and then they hand it over to to to me and my team to operate and then they go hands-free and and then and then that's you know that's what i have for for years to operate until the next thing comes along that's a little old school what we're going to have to do moving forward with our space capabilities and with the cyber piece baked in is continually developing new capability sets as we go we actually have partnership between general thompson's team and mine here at vandenberg on our ops floor or our combined space operations center that are actually working in real time together better tools that we can use to understand what's going on the space environment to better command and control our capabilities anywhere from military satellite communications to space domain awareness sensors and such and so and we're developing those capabilities in real time it's a dev and and with the security pieces so devsecops is we're practicing that in in real time i think that is probably the standard today that we're trying to live up to as we continue to evolve but it has to be done again in close partnership all the time it's not a sequential industrial age process while i'm on the subject of partnerships so general thompson's and team and mine have good partnerships it's part partnerships across the board are going to be another way that we are successful and that uh it means with with academia in some of the relationships that we have here with cal poly it's with the commercial sector in ways that we haven't done before the old style business was to work with just a few large um companies that had a lot of space experience well we need we need a lot of kinds of different experience and technologies now in order to really field good space capabilities and i expect we'll see more and more non-traditional companies being part of and and organizations being part of that partnership that will work going forward i mentioned at the beginning that um uh allies are important to us so everything that uh that role and i've been talking about i think you have to extrapolate out to allied partnerships right it doesn't help me uh as a combined force component commander which is again one of my jobs it doesn't help me if the united states capabilities are cyber secure but i'm trying to integrate them with capabilities from an ally that are not cyber secure so that partnership has to be dynamic and continually evolving together so again close partnering continually developing together from the acquisition to the operational sectors with as many um different sectors of our economy uh as possible are the ingredients to success general i'd love to just follow up real quick i was having just a quick reminder for a conversation i had with last year with general keith alexander who was does a lot of cyber security work and he was talking about the need to share faster and the new school is you got to share faster and to get the data you mentioned observability earlier you need to see what everything's out there he's a real passionate person around getting the data getting it fast and having trusted partners so that's not it's kind of evolving as i mean sharing is a well-known practice but with cyber it's sensitive data potentially so there's a trust relationship there's now a new ecosystem that's new for uh government how do you view all that and your thoughts on that trend of the sharing piece of it on cyber so it's i don't know if it's necessarily new but it's at a scale that we've never seen before and by the way it's vastly more complicated and complex when you overlay from a national security perspective classification of data and information at various levels and then that is again complicated by the fact you have different sharing relationships with different actors whether it's commercial academic or allies so it gets very very uh a complex web very quickly um so that's part of the challenge we're working through how can we how can we effectively share information at multiple classification levels with multiple partners in an optimal fashion it is certainly not optimal today it's it's very difficult even with maybe one industry partner for me to be able to talk about data at an unclassified level and then various other levels of classification to have the traditional networks in place to do that i could see a solution in the future where our cyber security is good enough that maybe i only really need one network and the information that is allowed to flow to the players within the right security environment um to uh to make that all happen as quickly as possible so you've actually uh john you've hit on yet another big challenge that we have is um is evolving our networks to properly share with the right people at the right uh clearance levels as at speed of war which is what we're going to need yeah and i wanted to call that out because this is an opportunity again this discussion here at cal poly and around the world is for new capabilities and new people to solve the problems and um it's again it's super exciting if you you know you're geeking out on this it's if you have a tech degree or you're interested in changing the world there's so many new things that could be applied right now roland will get your thoughts on this because one of the things in the tech trends we're seeing this is a massive shift all the theaters of the tech industry are are changing rapidly at the same time okay and it affects policy law but also deep tech the startup communities are super important in all this too we can't forget them obviously the big trusted players that are partnering certainly on these initiatives but your story about being in the dorm room now you got the boardroom and now you got everything in between you have startups out there that want to and can contribute and you know what's an itar i mean i got all these acronym certifications is there a community motion to bring startups in in a safe way but also give them a ability to contribute because you look at open source that proved everyone wrong on software that's happening now with this now open network concept the general is kind of alluding to which is it's a changing landscape your thoughts i know you're passionate about this yeah absolutely you know and i think um you know as general shaw mentioned you know we need to get information out there faster more timely and to the right people um and involving not only just stakeholders in the us but um internationally as well you know and as entrepreneurs um you know we have this very lofty vision or goal uh to change the world and um oftentimes um you know entrepreneurs including myself you know we put our heads down and we just run as fast as we can and we don't necessarily always kind of take a breath and take a step back and kind of look at what we're doing and how it's touching um you know other folks and in terms of a community i don't know of any formal community out there it's mostly ad hoc and you know these ad hoc communities are folks who let's say have you know was was a student working on a satellite um you know in college and they love that entrepreneurial spirit and so they said well i'm gonna start my own company and so you know a lot of the these ad hoc networks are just from relationships um that are that have been built over the last two decades um you know from from colleagues that you know at the university um i do think formalizing this and creating um kind of a you know clearinghouse to to handle all of this is incredibly important yeah um yeah there's gonna be a lot of entrepreneurial activity no doubt i mean just i mean there's too many things to work on and not enough time so i mean this brings up the question though while we're on this topic um you got the remote work with covid everyone's working remotely we're doing this remote um interview rather than being on stage works changing how people work and engage certainly physical will come back but if you looked at historically the space industry and the talent you know they're all clustered around the bases and there's always been these areas where you're you're a space person you're kind of working there and there's jobs there and if you were cyber you were 10 in other areas over the past decade there's been a cross-pollination of talent and location as you see the intersection of space general start with you you know first of all central coast is a great place to live i know that's where you guys live but you can start to bring together these two cultures sometimes they're you know not the same maybe they're getting better we know they're being integrated so general can you just share your thoughts because this is uh one of those topics that everyone's talking about but no one's actually kind of addressed directly um yeah john i i think so i think i want to answer this by talking about where i think the space force is going because i think if there was ever an opportunity or inflection point in our department of defense to sort of change culture and and try to bring in non-traditional kinds of thinking and and really kind of change uh maybe uh some of the ways that the department of defense has does things that are probably archaic space force is an inflection point for that uh general raymond our our chief of space operations has said publicly for a while now he wants the us space force to be the first truly digital service and uh you know what we what we mean by that is you know we want the folks that are in the space force to be the ones that are the first adopters or the early adopters of of technology um to be the ones most fluent in the cutting edge technological developments on space and cyber and and other um other sectors of the of of the of the economy that are technologically focused uh and i think there's some can that can generate some excitement i think and it means that we probably end up recruiting people into the space force that are not from the traditional recruiting areas that the rest of the department of defense looks to and i think it allows us to bring in a diversity of thought and diversity of perspective and a new kind of motivation um into the service that i think is frankly is is really exciting so if you put together everything i mentioned about how space and cyber are going to be best friends forever and i think there's always been an excitement in them you know from the very beginning in the american psyche about space you start to put all these ingredients together and i think you see where i'm going with this that really changed that cultural uh mindset that you were describing it's an exciting time for sure and again changing the world and this is what you're seeing today people do want to change world they want a modern world that's changing roy look at your thoughts on this i was having an interview a few years back with a tech entrepreneur um techie and we were joking we were just kind of riffing and we and i said everything that's on star trek will be invented and we're almost there actually if you think about it except for the transporter room you got video you got communicators so you know not to bring in the star trek reference with space force this is digital and you start thinking about some of the important trends it's going to be up and down the stack from hardware to software to user experience everything your thoughts and reaction yeah abs absolutely and so you know what we're seeing is um timeline timelines shrinking dramatically um because of the barrier to entry for you know um new entrants and you know even your existing aerospace companies is incredibly low right so if you take um previously where you had a technology on the ground and you wanted it in orbit it would take years because you would test it on the ground you would verify that it can operate in space in a space environment and then you would go ahead and launch it and you know we're talking tens if not hundreds of millions of dollars to do that now um we've cut that down from years to months when you have a prototype on the ground and you want to get it launched you don't necessarily care if it fails on orbit the first time because you're getting valuable data back and so you know we're seeing technology being developed you know for the first time on the ground and in orbit in a matter of a few months um and the whole kind of process um you know that that we're doing as a small business is you know trying to enable that and so allowing these entrepreneurs and small small companies to to get their technology in orbit at a price that is sometimes even cheaper than you know testing on the ground you know this is a great point i think this is really an important point to call out because we mentioned partnerships earlier the economics and the business model of space is doable i mean you do a mission study you get paid for that you have technology you can get stuff up up quickly and there's a cost structure there and again the alternative was waterfall planning years and millions now the form factors are different now again there may be different payloads involved but you can standardize payloads you got robotic arms all this is all available this brings up the congestion problem this is going to be on the top of mind the generals of course but you got the proliferation okay of these constellation systems you have more and more tech vectors i mean essentially that's malware i mean that's a probe you throw something up in space that could cause some interference maybe a takeover general this is the this is the real elephant in the room the threat matrix from new stuff and new configurations so general how does the proliferation of constellation systems change the threat matrix so i i think the uh you know i guess i'm gonna i'm gonna be a little more optimistic john than i think you pitched that i'm actually excited about these uh new mega constellations in leo um i'm excited about the the growing number of actors that are that are going into space for various reasons and why is that it's because we're starting to realize a new economic engine uh for the nation and for human society so the question is so so i think we want that to happen right when uh um when uh we could go to almost any any other domain in history and and and you know there when when air traffic air air travel started to become much much more commonplace with many kinds of uh actors from from private pilots flying their small planes all the way up to large airliners uh you know there there was a problem with congestion there was a problem about um challenges about uh behavior and are we gonna be able to manage this and yes we did and it was for the great benefit of society i could probably look to the maritime domain for similar kinds of things and so this is actually exciting about space we are just going to have to find the ways as a society and it's not just the department of defense it's going to be civil it's going to be international find the mechanisms to encourage this continued investment in the space domain i do think the space force uh will play a role in in providing security in the space environment as we venture further out as as economic opportunities emerge uh wherever they are um in the in the lunar earth lunar system or even within the solar system space force is going to play a role in that but i'm actually really excited about the those possibilities hey by the way i got to say you made me think of this when you talked about star trek and and and space force and our technologies i remember when i was younger watching the the next generation series i thought one of the coolest things because being a musician in my in my spare time i thought one of the coolest things was when um commander riker would walk into his quarters and and say computer play soft jazz and there would just be the computer would just play music you know and this was an age when you know we had we had hard uh um uh media right like how will that that is awesome man i can't wait for the 23rd century when i can do that and where we are today is is so incredible on those lines the things that i can ask alexa or siri to play um well that's the thing everything that's on star trek think about it almost invented i mean you got the computers you got the only thing really is the holograms are starting to come in you got now the transporter room now that's physics we'll work on that right right so there's a there is this uh a balance between physics and imagination but uh we have not exhausted either well um personally everyone that knows me knows i'm a huge star trek fan all the series of course i'm an original purist but at that level but this is about economic incentive as well roland i want to get your thoughts because you know the gloom and doom you got to think about the the bad stuff to make it good if i if i put my glass half full on the table there's economic incentives just like the example of the plane and the air traffic there's there's actors that are more actors that are incented to have a secure system what's your thoughts to general's comments around the optimism and and the potential threat matrix that needs to be managed absolutely so and you know one of the things that we've seen over the years um as you know we build these small satellites is a lot of the technology you know that the general is talking about um you know voice recognition miniaturized chips and sensors um started on the ground and i mean you know you have you know your iphone um that about 15 years ago before the first iphone came out um you know we were building small satellites in the lab and we were looking at cutting-edge state-of-the-art magnetometers and sensors um that we were putting in our satellites back then we didn't know if they were going to work and then um a few years later as these students graduate they go off and they go out to under you know other industries and so um some of the technology that was first kind of put in these cubesats in the early 2000s you know kind of ended up in the first generation iphone smartphones um and so being able to take that technology rapidly you know incorporate that into space and vice versa gives you an incredible economic advantage because um not only are your costs going down um because you know you're mass producing you know these types of terrestrial technologies um but then you can also um you know increase you know revenue and profit um you know by by having you know smaller and cheaper systems general let's talk about that for real quickly it's a good point i want to just shift it into the playbook i mean everyone talks about playbooks for management for tech for startups for success i mean one of the playbooks that's clear from in history is investment in r d around military and or innovation that has a long view spurs innovation commercially i mean just there's a huge many decades of history that shows that hey we got to start thinking about these these challenges and you know next you know it's in an iphone this is history this is not like a one-off and now with space force you get you're driving you're driving the main engine of innovation to be all digital you know we we riff about star trek which is fun but the reality is you're going to be on the front lines of some really new cool mind-blowing things could you share your thoughts on how you sell that people who write the checks or recruit more talent well so i first i totally agree with your thesis that the that you know national security well could probably go back an awful long way hundreds to thousands of years that security matters tend to drive an awful lot of innovation and creativity because um you know i think the the probably the two things that drive drive people the most are probably an opportunity to make money uh but only by beating that out are trying to stay alive um and uh and so i don't think that's going to go away and i do think that space force can play a role um as it pursues uh security uh structures you know within the space domain to further encourage economic investment and to protect our space capabilities for national security purposes are going to be at the cutting edge this isn't the first time um i think we can point back to the origins of the internet really started in the department of defense and with a partnership i should add with academia that's how the internet got started that was the creativity in order to to meet some needs there cryptography has its roots in security but we use it uh in in national security but now we use it in for economic reasons and meant and a host of other kinds of reasons and then space itself right i mean we still look back to uh apollo era as an inspiration for so many things that inspired people to to either begin careers in in technical areas or in space and and so on so i think i think in that same spirit you're absolutely right i guess i'm totally agreeing with your thesis the space force uh will be and a uh will have a positive inspirational influence in that way and we need to to realize that so when we are asking for when we're looking for how we need to meet capability needs we need to spread that net very far look for the most creative solutions and partner early and often with those that that can that can work on those when you're on the new frontier you've got to have a team sport it's a team effort you mentioned the internet just anecdotally i'm old enough to remember this because i remember the days that was going on and said the government if the policy decisions that the u.s made at that time was to let it go a little bit invisible hand they didn't try to commercialize it too fast and but there was some policy work that was done that had a direct effect to the innovation versus take it over and next you know it's out of control so i think you know i think this this just a cross-disciplinary skill set becomes a big thing where you need to have more people involved and that's one of the big themes of this symposium so it's a great point thank you for sharing that roland your thoughts on this because you know you got policy decisions we all want to run faster we want to be more innovative but you got to have some ops view now mostly ops people want things very tight very buttoned up secure the innovators want to go faster it's the yin and yang that's that's the world we live in how's it all balanced in your mind yeah um you know one of the things um that may not be apparently obvious is that you know the us government and department of um of defense is one of the biggest investors in technology in the aerospace sector um you know they're not the traditional venture capitalists but they're the ones that are driving technology innovation because there's funding um you know and when companies see that the us governments is interested in something businesses will will re-vector um you know to provide that capability and in the i would say the more recent years we've had a huge influx of private equity venture capital um coming into the markets to kind of help augment um you know the government investment and i think having a good partnership and a relationship with these private equity venture capitalists and the us government is incredibly important because the two sides you know can can help collaborate and kind of see a common goal but then also too on um you know the other side is you know there's that human element um and as general shaw was saying it's like not you know not only do companies you know obviously want to thrive and do really well some companies just want to stay alive um to see their technology kind of you know grow into what they've always dreamed of and you know oftentimes entrepreneurs um are put in a very difficult position because they have to make payroll they have to you know keep the lights on and so sometimes they'll take investment um from places where they may normally would not have you know from potentially foreign investment that could potentially you know cause issues with you know the you know the us supply chain well my final question is the best i wanted to say for last because i love the idea of human space flight i'd love to be on mars i'm not sure i'll be able to make it someday but how do you guys see the possible impacts of cyber security on expanding human space flight operations i mean general this is your wheelhouse this is urine command putting humans in space and certainly robots will be there because they're easy to go because they're not human but humans in space i mean you're starting to see the momentum the discussion uh people are are scratching that itch what's your take on that how do we see making this more possible well i i think we will see we will see uh commercial space tourism uh in the future i'm not sure how wide and large a scale it will become but we'll we will see that and um part of uh i think the mission of the space force is going to be probably to again do what we're doing today is have really good awareness of what's going on the domain to uh to to to ensure that that is done safely and i think a lot of what we do today will end up in civil organizations to do space traffic management and safety uh in in that uh arena um and uh um it is only a matter of time uh before we see um humans going even beyond the you know nasa has their plan the the artemis program to get back to the moon and the gateway initiative to establish a a space station there and that's going to be an exploration initiative but it is only a matter of time before we have um private citizens or private corporations putting people in space and not only for tourism but for economic activity and so it'll be really exciting to watch it would be really exciting and space force will be a part of it general roland i want to thank you for your valuable time to come on this symposium i really appreciate it final uh comment i'd love to you to spend a minute to share your personal thoughts on the importance of cyber security to space and we'll close it out we'll start with you roland yeah so i think that the biggest thing um i would like to try to get out of this you know from my own personal perspective is um creating that environment that allows um you know the the aerospace supply chain small businesses you know like ourselves be able to meet all the requirements um to protect um and safeguard our data but also um create a way that you know we can still thrive and it won't stifle innovation um you know i'm looking forward um to comments and questions um you know from the audience um to really kind of help um you know you know basically drive to that next step general final thoughts the importance of cyber security to space i'll just i'll go back to how i started i think john and say that space and cyber are forever intertwined they're bffs and whoever has my job 50 years from now or 100 years from now i predict they're going to be saying the exact same thing cyber and space are are intertwined for good we will always need the cutting edge cyber security capabilities that we develop as a nation or as a as a society to protect our space capabilities and our cyber capabilities are going to need space capabilities in the future as well general john shaw thank you very much roland cleo thank you very much for your great insight thank you to cal poly for putting this together i want to shout out to the team over there we couldn't be in person but we're doing a virtual remote event i'm john furrier with thecube and siliconangle here in silicon valley thanks for watching

>> Announcer: From around the globe, it's theCUBE with digital coverage of MIT Chief Data Officer and Information Quality symposium brought to you by SiliconANGLE Media. >> Hi everybody. This is Dave Vellante and welcome back to theCUBE's coverage of the MIT CDOIQ 2020 event. Of course, it's gone virtual. We wish we were all together in Cambridge. They were going to move into a new building this year for years they've done this event at the Tang Center, moving into a new facility, but unfortunately going to have to wait at least a year, we'll see, But we've got a great guest. Nonetheless, Doug Laney is here. He's a Business Value Strategist, the bestselling author, an analyst, consultant then a long time CUBE friend. Doug, great to see you again. Thanks so much for coming on. >> Dave, great to be with you again as well. So can I ask you? You have been an advocate for obviously measuring the value of data, the CDO role. I don't take this the wrong way, but I feel like the last 150 days have done more to accelerate people's attention on the importance of data and the value of data than all the great work that you've done. What do you think? (laughing) >> It's always great when organizations, actually take advantage of some of these concepts of data value. You may be speaking specifically about the situation with United Airlines and American Airlines, where they have basically collateralized their customer loyalty data, their customer loyalty programs to the tunes of several billion dollars each. And one of the things that's very interesting about that is that the third party valuations of their customer loyalty data, resulted in numbers that were larger than the companies themselves. So basically the value of their data, which is as we've discussed previously off balance sheet is more valuable than the market cap of those companies themselves, which is just incredibly fascinating. >> Well, and of course, all you have to do is look to the Trillionaire's Club. And now of course, Apple pushing two trillion to really see the value that the market places on data. But the other thing is of course, COVID, everybody talks about the COVID acceleration. How have you seen it impact the awareness of the importance of data, whether it applies to business resiliency or even new monetization models? If you're not digital, you can't do business. And digital is all about data. >> I think the major challenge that most organizations are seeing from a data and analytics perspective due to COVID is that their traditional trend based forecast models are broken. If you're a company that's only forecasting based on your own historical data and not taking into consideration, or even identifying what are the leading indicators of your business, then COVID and the economic shutdown have entirely broken those models. So it's raised the awareness of companies to say, "Hey, how can we predict our business now? We can't do it based on our own historical data. We need to look externally at what are those external, maybe global indicators or other kinds of markets that proceed our own forecasts or our own activity." And so the conversion from trend based forecast models to what we call driver based forecast models, isn't easy for a lot of organizations to do. And one of the more difficult parts is identifying what are those external data factors from suppliers, from customers, from partners, from competitors, from complimentary products and services that are leading indicators of your business. And then recasting those models and executing on them. >> And that's a great point. If you think about COVID and how it's changed things, everything's changed, right? The ideal customer profile has changed, your value proposition to those customers has completely changed. You got to rethink that. And of course, it's very hard to predict even when this thing eventually comes back, some kind of hybrid mode, you used to be selling to people in an office environment. That's obviously changed. There's a lot that's permanent there. And data is potentially at least the forward indicator, the canary in the coal mine. >> Right. It also is the product and service. So not only can it help you and improve your forecasting models, but it can become a product or service that you're offering. Look at us right now, we would generally be face to face and person to person, but we're using video technology to transfer this content. And then one of the things that I... It took me awhile to realize, but a couple of months after the COVID shutdown, it occurred to me that even as a consulting organization, Caserta focuses on North America. But the reality is that every consultancy is now a global consultancy because we're all doing business remotely. There are no particular or real strong localization issues for doing consulting today. >> So we talked a lot over the years about the role of the CDO, how it's evolved, how it's changed the course of the early... The pre-title days it was coming out of a data quality world. And it's still vital. Of course, as we heard today from the Keynote, it's much more public, much more exposed, different public data sources, but the role has certainly evolved initially into regulated industries like financial, healthcare and government, but now, many, many more organizations have a CDO. My understanding is that you're giving a talk in the business case for the CDO. Help us understand that. >> Yeah. So one of the things that we've been doing here for the last couple of years is a running an ongoing study of how organizations are impacted by the role of the CDO. And really it's more of a correlation and looking at what are some of the qualities of organizations that have a CDO or don't have a CDO. So some of the things we found is that organizations with a CDO nearly twice as often, mention the importance of data and analytics in their annual report organizations with a C level CDO, meaning a true executive are four times more often likely to be using data, to transform the business. And when we're talking about using data and advanced analytics, we found that organizations with a CIO, not a CDO responsible for their data assets are only half as likely to be doing advanced analytics in any way. So there are a number of interesting things that we found about companies that have a CDO and how they operate a bit differently. >> I want to ask you about that. You mentioned the CIO and we're increasingly seeing lines of reporting and peer reporting alter shift. The sands are shifting a little bit. In the early days the CDO and still predominantly I think is an independent organization. We've seen a few cases and increasingly number where they're reporting into the CIO, we've seen the same thing by the way with the chief Information Security Officer, which used to be considered the fox watching the hen house. So we're seeing those shifts. We've also seen the CDO become more aligned with a technical role and sometimes even emerging out of that technical role. >> Yeah. I think the... I don't know, what I've seen more is that the CDOs are emerging from the business, companies are realizing that data is a business asset. It's not an IT asset. There was a time when data was tightly coupled with applications of technologies, but today data is very easily decoupled from those applications and usable in a wider variety of contexts. And for that reason, as data gets recognized as a business, not an IT asset, you want somebody from the business responsible for overseeing that asset. Yes, a lot of CDOs still report to the CIO, but increasingly more CDOs you're seeing and I think you'll see some other surveys from other organizations this week where the CDOs are more frequently reporting up to the CEO level, meaning they're true executives. Along I advocated for the bifurcation of the IT organization into separate I and T organizations. Again, there's no reason other than for historical purposes to keep the data and technology sides of the organizations so intertwined. >> Well, it makes sense that the Chief Data Officer would have an affinity with the lines of business. And you're seeing a lot of organizations, really trying to streamline their data pipeline, their data life cycles, bringing that together, infuse intelligence into that, but also take a systems view and really have the business be intimately involved, if not even owned into the data. You see a lot of emphasis on self-serve, what are you seeing in terms of that data pipeline or the data life cycle, if you will, that used to be wonky, hard core techies, but now it really involving a lot more constituent. >> Yeah. Well, the data life cycle used to be somewhat short. The data life cycles, they're longer and they're more a data networks than a life cycle and or a supply chain. And the reason is that companies are finding alternative uses for their data, not just using it for a single operational purpose or perhaps reporting purpose, but finding that there are new value streams that can be generated from data. There are value streams that can be generated internally. There are a variety of value streams that can be generated externally. So we work with companies to identify what are those variety of value streams? And then test their feasibility, are they ethically feasible? Are they legally feasible? Are they economically feasible? Can they scale? Do you have the technology capabilities? And so we'll run through a process of assessing the ideas that are generated. But the bottom line is that companies are realizing that data is an asset. It needs to be not just measured as one and managed as one, but also monetized as an asset. And as we've talked about previously, data has these unique qualities that it can be used over and over again, and it generate more data when you use it. And it can be used simultaneously for multiple purposes. So companies like, you mentioned, Apple and others have built business models, based on these unique qualities of data. But I think it's really incumbent upon any organization today to do so as well. >> But when you observed those companies that we talk about all the time, data is at the center of their organization. They maybe put people around that data. That's got to be one of the challenge for many of the incumbents is if we talked about the data silos, the different standards, different data quality, that's got to be fairly major blocker for people becoming a "Data-driven organization." >> It is because some organizations were developed as people driven product, driven brand driven, or other things to try to convert. To becoming data-driven, takes a high degree of data literacy or fluency. And I think there'll be a lot of talk about that this week. I'll certainly mention it as well. And so getting the organization to become data fluent and appreciate data as an asset and understand its possibilities and the art of the possible with data, it's a long road. So the culture change that goes along with it is really difficult. And so we're working with 150 year old consumer brand right now that wants to become more data-driven and they're very product driven. And we hear the CIO say, "We want people to understand that we're a data company that just happens to produce this product. We're not a product company that generates data." And once we realized that and started behaving in that fashion, then we'll be able to really win and thrive in our marketplace. >> So one of the key roles of a Chief Data Officers to understand how data affects the monetization of an organization. Obviously there are four profit companies of your healthcare organization saving lives, obviously being profitable as well, or at least staying within the budget, depending upon the structure of the organization. But a lot of people I think oftentimes misunderstand that it's like, "Okay, do I have to become a data broker? Am I selling data directly?" But I think, you pointed out many times and you just did that unlike oil, that's why we don't like that data as a new oil analogy, because it's so much more valuable and can be use, it doesn't fall because of its scarcity. But what are you finding just in terms of people's application of that notion of monetization? Cutting costs, increasing revenue, what are you seeing in the field? What's that spectrum look like? >> So one of the things I've done over the years is compile a library of hundreds and hundreds of examples of how organizations are using data and analytics in innovative ways. And I have a book in process that hopefully will be out this fall. I'm sharing a number of those inspirational examples. So that's the thing that organizations need to understand is that there are a variety of great examples out there, and they shouldn't just necessarily look to their own industry. There are inspirational examples from other industries as well, many clients come to me and they ask, "What are others in my industry doing?" And my flippant response to that is, "Why do you want to be in second place or third place? Why not take an idea from another industry, perhaps a digital product company and apply that to your own business." But like you mentioned, there are a variety of ways to monetize data. It doesn't involve necessarily selling it. You can deliver analytics, you can report on it, you can use it internally to generate improved business process performance. And as long as you're measuring how data's being applied and what its impact is, then you're in a position to claim that you're monetizing it. But if you're not measuring the impact of data on business processes or on customer relationships or partner supplier relationships or anything else, then it's difficult to claim that you're monetizing it. But one of the more interesting ways that we've been working with organizations to monetize their data, certainly in light of GDPR and the California consumer privacy act where I can't sell you my data anymore, but we've identified ways to monetize your customer data in a couple of ways. One is to synthesize the data, create synthetic data sets that retain the original statistical anomalies in the data or features of the data, but don't share actually any PII. But another interesting way that we've been working with organizations to monetize their data is what I call, Inverted data monetization, where again, I can't share my customer data with you, but I can share information about your products and services with my customers. And take a referral fee or a commission, based on that. So let's say I'm a hospital and I can't sell you my patient data, of course, due to variety of regulations, but I know who my diabetes patients are, and I can introduce them to your healthy meal plans, to your gym memberships, to your at home glucose monitoring kits. And again, take a referral fee or a cut of that action. So we're working with customers and the financial services firm industry and in the healthcare industry on just those kinds of examples. So we've identified hundreds of millions of dollars of incremental value for organizations that from their data that we're just sitting on. >> Interesting. Doug because you're a business value strategist at the top, where in the S curve do you see you're able to have the biggest impact. I doubt that you enter organizations where you say, "Oh, they've got it all figured out. They can't use my advice." But as well, sometimes in the early stages, you may not be able to have as big of an impact because there's not top down support or whatever, there's too much technical data, et cetera, where are you finding you can have the biggest impact, Doug? >> Generally we don't come in and run those kinds of data monetization or information innovation exercises, unless there's some degree of executive support. I've never done that at a lower level, but certainly there are lower level more immediate and vocational opportunities for data to deliver value through, to simply analytics. One of the simple examples I give is, I sold a home recently and when you put your house on the market, everybody comes out of the woodwork, the fly by night, mortgage companies, the moving companies, the box companies, the painters, the landscapers, all know you're moving because your data is in the U.S. and the MLS directory. And it was interesting. The only company that didn't reach out to me was my own bank, and so they lost the opportunity to introduce me to a Mortgage they'd retain me as a client, introduce me to my new branch, print me new checks, move the stuff in my safe deposit box, all of that. They missed a simple opportunity. And I'm thinking, this doesn't require rocket science to figure out which of your customers are moving, the MLS database or you can harvest it from Zillow or other sites is basically public domain data. And I was just thinking, how stupid simple would it have been for them to hire a high school programmer, give him a can of red bull and say, "Listen match our customer database to the MLS database to let us know who's moving on a daily or weekly basis." Some of these solutions are pretty simple. >> So is that part of what you do, come in with just hardcore tactical ideas like that? Are you also doing strategy? Tell me more about how you're spending your time. >> I trying to think more of a broader approach where we look at the data itself and again, people have said, "If you tortured enough, what would you tell us? We're just take that angle." We look at examples of how other organizations have monetized data and think about how to apply those and adapt those ideas to the company's own business. We look at key business drivers, internally and externally. We look at edge cases for their customers' businesses. We run through hypothesis generating activities. There are a variety of different kinds of activities that we do to generate ideas. And most of the time when we run these workshops, which last a week or two, we'll end up generating anywhere from 35 to 50 pretty solid ideas for generating new value streams from data. So when we talk about monetizing data, that's what we mean, generating new value streams. But like I said, then the next step is to go through that feasibility assessment and determining which of these ideas you actually want to pursue. >> So you're of course the longtime industry watcher as well, as a former Gartner Analyst, you have to be. My question is, if I think back... I've been around a while. If I think back at the peak of Microsoft's prominence in the PC era, it was like windows 95 and you felt like, "Wow, Microsoft is just so strong." And then of course the Linux comes along and a lot of open source changes and low and behold, a whole new set of leaders emerges. And you see the same thing today with the Trillionaire's Club and you feel like, "Wow, even COVID has been a tailwind for them." But you think about, "Okay, where could the disruption come to these large players that own huge clouds, they have all the data." Is data potentially a disruptor for what appear to be insurmountable odds against the newbies" >> There's always people coming up with new ways to leverage data or new sources of data to capture. So yeah, there's certainly not going to be around for forever, but it's been really fascinating to see the transformation of some companies I think nobody really exemplifies it more than IBM where they emerged from originally selling meat slicers. The Dayton Meat Slicer was their original product. And then they evolved into Manual Business Machines and then Electronic Business Machines. And then they dominated that. Then they dominated the mainframe software industry. Then they dominated the PC industry. Then they dominated the services industry to some degree. And so they're starting to get into data. And I think following that trajectory is something that really any organization should be looking at. When do you actually become a data company? Not just a product company or a service company or top. >> We have Inderpal Bhandari is one of our huge guests here. He's a Chief-- >> Sure. >> Data Officer of IBM, you know him well. And he talks about the journey that he's undertaken to transform the company into a data company. I think a lot of people don't really realize what's actually going on behind the scenes, whether it's financially oriented or revenue opportunities. But one of the things he stressed to me in our interview was that they're on average, they're reducing the end to end cycle time from raw data to insights by 70%, that's on average. And that's just an enormous, for a company that size, it's just enormous cost savings or revenue generating opportunity. >> There's no doubt that the technology behind data pipelines is improving and the process from moving data from those pipelines directly into predictive or diagnostic or prescriptive output is a lot more accelerated than the early days of data warehousing. >> Is the skills barrier is acute? It seems like it's lessened somewhat, the early Hadoop days you needed... Even data scientist... Is it still just a massive skill shortage, or we're starting to attack that. >> Well, I think companies are figuring out a way around the skill shortage by doing things like self service analytics and focusing on more easy to use mainstream type AI or advanced analytics technologies. But there's still very much a need for data scientists and organizations and the difficulty in finding people that are true data scientists. There's no real certification. And so really anybody can call themselves a data scientist but I think companies are getting good at interviewing and determining whether somebody's got the goods or not. But there are other types of skills that we don't really focus on, like the data engineering skills, there's still a huge need for data engineering. Data doesn't self-organize. There are some augmented analytics technologies that will automatically generate analytic output, but there really aren't technologies that automatically self-organize data. And so there's a huge need for data engineers. And then as we talked about, there's a large interest in external data and harvesting that and then ingesting it and even identifying what external data is out there. So one of the emerging roles that we're seeing, if not the sexiest role of the 21st century is the role of the Data Curator, somebody who acts as a librarian, identifying external data assets that are potentially valuable, testing them, evaluating them, negotiating and then figuring out how to ingest that data. So I think that's a really important role for an organization to have. Most companies have an entire department that procures office supplies, but they don't have anybody who's procuring data supplies. And when you think about which is more valuable to an organization? How do you not have somebody who's dedicated to identifying the world of external data assets that are out there? There are 10 million data sets published by government, organizations and NGOs. There are thousands and thousands of data brokers aggregating and sharing data. There's a web content that can be harvested, there's data from your partners and suppliers, there's data from social media. So to not have somebody who's on top of all that it demonstrates gross negligence by the organization. >> That is such an enlightening point, Doug. My last question is, I wonder how... If you can share with us how the pandemic has effected your business personally. As a consultant, you're on the road a lot, obviously not on the road so much, you're doing a lot of chalk talks, et cetera. How have you managed through this and how have you been able to maintain your efficacy with your clients? >> Most of our clients, given that they're in the digital world a bit already, made the switch pretty quick. Some of them took a month or two, some things went on hold but we're still seeing the same level of enthusiasm for data and doing things with data. In fact some companies have taken our (mumbles) that data to be their best defense in a crisis like this. It's affected our business and it's enabled us to do much more international work more easily than we used to. And I probably spend a lot less time on planes. So it gives me more time for writing and speaking and actually doing consulting. So that's been nice as well. >> Yeah, there's that bonus. Obviously theCUBE yes, we're not doing physical events anymore, but hey, we've got two studios operating. And Doug Laney, really appreciate you coming on. (Dough mumbles) Always a great guest and sharing your insights and have a great MIT CDOIQ. >> Thanks, you too, Dave, take care. (mumbles) >> Thanks Doug. All right. And thank you everybody for watching. This is Dave Vellante for theCUBE, our continuous coverage of the MIT Chief Data Officer conference, MIT CDOIQ, will be right back, right after this short break. (bright music)

from the cube studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cube conversation hi buddy welcome back to the cube this is Dave Volante and you're watching a special presentation data ops enacted made possible by IBM you know what's what's happening is the innovation engine in the IT economy is really shifted used to be Moore's Law today it's applying machine intelligence and AI to data really scaling that and operationalizing that new knowledge the challenges that is not so easy to operationalize AI and infuse it into the data pipeline but what we're doing in this program is bringing in practitioners who have actually had a great deal of success in doing just that and I'm really excited to have it Kumal a Himalayan Manali is here she's the executive head of data management or personal and business banking at Standard Bank of South Africa the tomb of length thanks so much for coming in the queue thank you for having me Dave you're very welcome and first of all how you holding up with this this bovid situation how are things in Johannesburg um things in Johannesburg are fine we've been on lockdown now I think it's day 33 if I'm not mistaken lost count and but we're really grateful for the swift action of government we we only I mean we have less than 4,000 places in the country and infection rate is is really slow so we've really I think been able to find the curve and we're grateful for being able to be protected in this way so all working from home or learning the new normal and we're all in this together that's great to hear why don't you tell us a little bit about your your role you're a data person we're really going to get into it but here with us you know how you spend your time okay well I head up a date operations function and a data management function which really is the foundational part of the data value chain that then allows other parts of the organization to monetize data and liberate it as as as the use cases apply we monetize it ourselves as well but really we're an enterprise wide organization that ensures that data quality is managed data is governed that we have the effective practices applied to the entire lineage of the data ownership and curation is in place and everything else from a regulatory as well as opportunity perspective then is able to be leveraged upon so historically you know data has been viewed as sort of this expense it's it's big it's growing it needs to be managed deleted after a certain amount of time and then you know ten years ago of the Big Data move data became an asset you had a lot of shadow I people going off and doing things that maybe didn't comply to the corporate ethics probably drove here here you're a part of the organization crazy but talk about that how what has changed but they in the last you know five years or so just in terms of how people approach data oh I mean you know the story I tell my colleague who are all bankers obviously is the fact that the banker in 1989 had to mainly just know debits credits and be able to look someone in the eye and know whether or not they'd be a credit risk or not you know if we lend you money and you pay it back the the banker of the late 90s had to then contend with the emergence of technologies that made their lives easier and allowed for automation and processes to run much more smoothly um in the early two-thousands I would say that digitization was a big focus and in fact my previous role was head of digital banking and at the time we thought digital was the panacea it is the be-all and end-all it's the thing that's gonna make organizations edit lo and behold we realized that once you've gotten all your digital platforms ready they are just the plate or the pipe and nothing is flowing through it and there's no food on the face if data is not the main photo really um it's always been an asset I think organizations just never consciously knew that data was that okay so so what sounds like once you've made that sort of initial digital transformation you really had to work it and what we're hearing from a lot of practitioners like self as challenges related to that involve different parts of the organization different skill sets of challenges and sort of getting everybody to work together on the same page it's better but maybe you could take us back to sort of when you started on this initiative around data Ops what was that like what were some of the challenges that you faced and how'd you get through them okay first and foremost Dave organizations used to believe that data was I t's problem and that's probably why you you then saw the emergence of things like chatter IP but when you really acknowledge that data is an essay just like money is an asset then you you have to then take accountability for it just the same way as you would any other asset in the organization and you will not abdicate its management to a separate function that's not cold to the business and oftentimes IT are seen as a support or an enabling but not quite the main show in most organizations right so what we we then did is first emphasize that data is a business capability the business function it presides in business makes to product management makes to marketing makes to everything else that the business needs for data management also has to be for to every role in every function to different degrees and varying bearing offense and when you take accountability as an owner of a business unit you also take accountability for the data in the systems that support the business unit for us that was the first picture um and convincing my colleagues that data was their problem and not something that we had to worry about they just kind of leave us to to it was was also a journey but that was kind of the first step into it in terms of getting the data operations journey going um you had to first acknowledge please carry on no you just had to first acknowledge that it's something you must take accountability of as a banker not just need to a different part of the organization that's a real cultural mindset you know in the game of rock-paper-scissors you know culture kinda beats everything doesn't it it's almost like a yep a trump card and so so the businesses embrace that but but what did you do to support that is there has to be trust in the data that it has to be a timeliness and so maybe you could take us through how you achieve those objectives and maybe some other objectives that business the man so the one thing I didn't mention Dave is that obviously they didn't embrace it in the beginning it wasn't a it wasn't there oh yeah that make sense they do that type of conversation um what what he had was a few very strategic people with the right mindset that I could partner with that understood the case for data management and while we had that as as an in we developed a framework for a fully matured data operations capability in the organization and what that would look like in a target date scenario and then what you do is you wait for a good crisis so we had a little bit of a challenge in that our local regulator found us a little bit wanting in terms of our date of college and from that perspective it then brought the case for data quality management so now there's a burning platform you have an appetite for people to partner with you and say okay we need this to comply to help us out and when they start seeing their opt-in action do they then buy into into the concept so sometimes you need to just wait for a good Christ and leverage it and only do that which the organization will appreciate at that time you don't have to go Big Bang data quality management was the use case at the time five years ago so we focused all our energy on that and after that it gave us leeway and license really bring to maturity all the other capabilities at the business might not well understand as well so when that crisis hit of thinking about people process in technology you probably had to turn some knobs in each of those areas can you talk about that so from a technology perspective that that's when we partnered with with IBM to implement information analyzer for us in terms of making sure that then we could profile the data effectively what was important for us is to to make strides in terms of showing the organization progress but also being able to give them access to self-service tools that will give them insight into their data from a technology perspective that was kind of I think the the genesis of of us implementing and the IBM suite in earnest from a data management perspective people wise we really then also began a data stewardship journey in which we implemented business unit stewards of data I don't like using the word steward because in my organization it's taken lightly almost like a part-time occupation so we converted them we call them data managers and and the analogy I would give is every department with a P&L any department worth its salt has a FDA or financial director and if money is important to you you have somebody helping you take accountability and execute on your responsibilities in managing that that money so if data is equally important as an asset you will have a leader a manager helping you execute on your data ownership accountability and that was the people journey so firstly I had kind of soldiers planted in each department which were data managers that would then continue building the culture maturing the data practices as as applicable to each business unit use cases so what was important is that every manager in every business unit to the Data Manager focus their energy on making that business unit happy by ensuring that they data was of the right compliance level and the right quality the right best practices from a process and management perspective and was governed and then in terms of process really it's about spreading through the entire ecosystem data management as a practice and can be quite lonely um in the sense that unless the whole business of an organization is managing data they worried about doing what they do to make money and most people in most business units will be the only unicorn relative to everybody else who does what they do and so for us it was important to have a community of practice a process where all the data managers across business as well as the technology parts and the specialists who were data management professionals coming together and making sure that we we work together on on specific you say so I wonder if I can ask you so the the industry sort of likes to market this notion of of DevOps applied to data and data op have you applied that type of mindset approach agile of continuous improvement is I'm trying to understand how much is marketing and how much actually applicable in the real world can you share well you know when I was reflecting on this before this interview I realized that our very first use case of data officers probably when we implemented information analyzer in our business unit simply because it was the first time that IT and business as well as data professionals came together to spec the use case and then we would literally in an agile fashion with a multidisciplinary team come together to make sure that we got the outcomes that we required I mean for you to to firstly get a data quality management paradigm where we moved from 6% quality at some point from our client data now we're sitting at 99 percent and that 1% literally is just the timing issue to get from from 6 to 99 you have to make sure that the entire value chain is engaged so our business partners will the fundamental determinant of the business rules apply in terms of what does quality mean what are the criteria of quality and then what we do is translate that into what we put in the catalog and ensure that the profiling rules that we run are against those business rules that were defined at first so you'd have upfront determination of the outcome with business and then the team would go into an agile cycle of maybe two-week sprints where we develop certain things have stand-ups come together and then the output would be - boarded in a prototype in a fashion where business then gets to go double check that out so that was the first iterate and I would say we've become much more mature at it and we've got many more use cases now and there's actually one that it's quite exciting that we we recently achieved over the end of of 2019 into the beginning of this year so what we did was they I'm worried about the sunlight I mean through the window you look creative to me like sunset in South Africa we've been on the we've been on CubeSat sometimes it's so bright we have to put on sunglasses but so the most recent one which was in in mates 2019 coming in too early this year we we had long kind of achieved the the compliance and regulatory burning platform issues and now we are in a place of I think opportunity and luxury where we can now find use cases that are pertinent to business execution and business productivity um the one that comes to mind is we're a hundred and fifty eight years old as an organization right so so this Bank was born before technology it was also born in the days of light no no no integration because every branch was a standalone entity you'd have these big ledges that transactions were documented in and I think once every six months or so these Ledger's would be taken by horse-drawn carriage to a central place to get go reconcile between branches and paper but the point is if that is your legacy the initial kind of ERP implementations would have been focused on process efficiency based on old ways of accounting for transactions and allocating information so it was not optimized for the 21st century our architecture had has had huge legacy burden on it and so going into a place where you can be agile with data is something that we constantly working toward so we get to a place where we have hundreds of branches across the country and all of them obviously telling to client servicing clients as usual and and not being able for any person needing sales teams or executional teams they were not able in a short space of time to see the impact of the tactic from a database fee from a reporting history and we were in a place where in some cases based on how our Ledger's roll up and the reconciliation between various systems and accounts work it would take you six weeks to verify whether your technique were effective or not because to actually see the revenue hitting our our general ledger and our balance sheet might take that long that is an ineffective way to operate in a such a competitive environment so what you had our frontline sales agents literally manually documenting the sales that they had made but not being able to verify whether that or not is bringing revenue until six weeks later so what we did then is we sat down and defined all the requirements were reporting perspective and the objective was moved from six weeks latency to 24 hours um and even 24 hours is not perfect our ideal would be that bite rows of day you're able to see what you've done for that day but that's the next the next epoch that will go through however um we literally had the frontline teams defining what they'd want to see in a dashboard the business teams defining what the business rules behind the quality and the definitions would be and then we had an entire I'm analytics team and the data management team working around sourcing the data optimising and curating it and making sure that the latency had done that's I think only our latest use case for data art um and now we're in a place where people can look at a dashboard it's a cubed self-service they can learn at any time I see the sales they've made which is very important right now at the time of covert nineteen from a form of productivity and executional competitiveness those are two great use cases of women lying so the first one you know going from data quality 6% the 99% I mean 6% is all you do is spend time arguing about the data bills profanity and then 99% you're there and you said it's just basically a timing issue use latency in the timing and then the second one is is instead of paving the cow path with an outdated you know ledger Barret data process week you've now compressed that down to 24 hours you want to get the end of day so you've built in the agility into your data pipeline I'm going to ask you then so when gdpr hit were you able to very quickly leverage this capability and and apply and then maybe other of compliance edik as well well actually you know what we just now was post TDP our us um and and we got GDP all right about three years ago but literally all we got right was reporting for risk and compliance purposes they use cases that we have now are really around business opportunity lists so the risk so we prioritize compliance report a long time it but we're able to do real-time reporting from a single transaction perspective I'm suspicious transactions etc I'm two hours in Bank and our governor so from that perspective that was what was prioritize in the beginning which was the initial crisis so what you found is an entire engine geared towards making sure that data quality was correct for reporting and regulatory purposes but really that is not the be-all and end-all of it and if that's all we did I believe we really would not have succeeded or could have stayed dead we succeeded because Dana monetization is actually the penis' t the leveraging of data for business opportunity is is actually then what tells you whether you've got the right culture or not you're just doing it to comply then it means the hearts and minds of the rest of the business still aren't in the data game I love this story because it's me it's nirvana for so many years we've been pouring money to mitigate risk and you have no choice do it you know the general council signs off on it the the CFO but grudgingly signs off on it but it's got to be done but for years decades we've been waiting to use these these risk initiatives to actually drive business value you know it kind of happened with enterprise data warehouse but it was too slow it was complicated and it certainly didn't happen with with email archiving that was just sort of a tech balk it sounds like you know we're at that point today and I want to ask you I mean like you know you we talking earlier about you know the crisis gonna perpetuated this this cultural shift and you took advantage of that so we're out who we the the mother nature dealt up a crisis like we've never seen before how do you see your data infrastructure your data pipeline your data ops what kind of opportunities do you see in front of you today as a result of ovid 19 well I mean because of of the quality of kind data that we had now we were able to very quickly respond to to pivot nineteen in in our context where the government put us on lockdown relatively early in in the curve or in the cycle of infection and what it meant is it brought a little bit of a shock to the economy because small businesses all of a sudden didn't have a source of revenue or potentially three to six weeks and based on the data quality work that we did before it was actually relatively easy to be agile enough to do the things that we did so within the first weekend of of lockdown in South Africa we were the first bank to proactively and automatically offer small businesses and student and students with loans on our books a instant three month payment holiday assuming they were in good standing and we did that upfront though it was actually an opt-out process rather than you had to fall in and arrange for that to happen and I don't believe we would have been able to do that if our data quality was not with um we have since made many more initiatives to try and keep the economy going to try and keep our clients in in a state of of liquidity and so you know data quality at that point and that Dharma is critical to knowing who you're talking to who needs what and in which solutions would best be fitted towards various segments I think the second component is um you know working from home now brings an entirely different normal right so so if we had not been able to provide productivity dashboard and and and sales and dashboards to to management and all all the users that require it we would not be able to then validate or say what our productivity levels are now that people are working from home I mean we still have essential services workers that physically go into work but a lot of our relationship bankers are operating from home and that face the baseline and the foundation that we said productivity packing for various methods being able to be reported on in a short space of time has been really beneficial the next opportunity for us is we've been really good at doing this for the normal operational and front line and type of workers but knowledge workers have also know not necessarily been big productivity reporters historically they kind of get an output then the output might be six weeks down the line um but in a place where teams now are not locate co-located and work needs to flow in an edge of passion we need to start using the same foundation and and and data pipeline that we've laid down as a foundation for the reporting of knowledge work and agile team type of metric so in terms of developing new functionality and solutions there's a flow in a multidisciplinary team and how do those solutions get architected in a way where data assists in the flow of information so solutions can be optimally developed well it sounds like you're able to map a metric but business lines care about you know into these dashboards you usually the sort of data mapping approach if you will which makes it much more relevant for the business as you said before they own the data that's got to be a huge business benefit just in terms of again we talked about cultural we talked about speed but but the business impact of being able to do that it has to be pretty substantial it really really is um and and the use cases really are endless because every department finds their own opportunity to utilize in terms of their also I think the accountability factor has has significantly increased because as the owner of a specific domain of data you know that you're not only accountable to yourself and your own operation but people downstream to you as a product and in an outcome depend on you to ensure that the quality of the data you produces is of a high nature so so curation of data is a very important thing and business is really starting to understand that so you know the cards Department knows that they are the owners of card data right and you know the vehicle asset Department knows that they are the owners of vehicle they are linked to a client profile and all of that creates an ecosystem around the plan I mean when you come to a bank you you don't want to be known as a number and you don't want to be known just for one product you want to be known across everything that you do with that with that organization but most banks are not structured that way they still are product houses and product systems on which your data reside and if those don't act in concert then we come across extremely schizophrenic as if we don't know our clients and so that's very very important stupid like I can go on for an hour talking about this topic but unfortunately we're we're out of time thank you so much for sharing your deep knowledge and your story it's really an inspiring one and congratulations on all your success and I guess I'll leave it with you know what's next you gave us you know a glimpse of some of the things you wanted to do pressing some of the the elapsed times and the time cycle but but where do you see this going in the next you know kind of mid term and longer term currently I mean obviously AI is is a big is a big opportunity for all organizations and and you don't get automation of anything right if the foundations are not in place so you believe that this is a great foundation for anything AI to be applied in terms of the use cases that we can find the second one is really providing an API economy where certain data product can be shared with third parties I think that probably where we want to take things as well we are really utilizing external third-party data sources I'm in our data quality management suite to ensure validity of client identity and and and residents and things of that nature but going forward because been picked and banks and other organizations are probably going to partner to to be more competitive going forward we need to be able to provide data product that can then be leveraged by external parties and vice-versa to be like thanks again great having you thank you very much Dave appreciate the opportunity thank you for watching everybody that we go we are digging in the data ops we've got practitioners we've got influencers we've got experts we're going in the crowd chat it's the crowd chat net flash data ops but keep it right there way back but more coverage this is Dave Volante for the cube [Music] you

from the cube studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cute conversation everybody welcome back to the cube this is Dave Volante and you're watching a special presentation data ops enacted made possible by IBM you know what's what's happening is the innovation engine in the IT economy is really shifted used to be Moore's Law today it's applying machine intelligence and AI to data really scaling that and operationalizing that new knowledge the challenges that is it's not so easy to operationalize AI and infuse it into the data pipeline but what we're doing in this program is bringing in practitioners who have actually had a great deal of success in doing just that and I'm really excited to have it Kumal a the tumor lang Manali is here she's the executive head of data management or personal and business banking at Standard Bank of South Africa the tumor length thanks so much for coming in the cube thank you for having me Dave you're very welcome and first of all how you holding up with this this bovid situation how are things in Johannesburg um things in Johannesburg are fine and we've been on lockdown now I think it's day 33 if I'm not mistaken lost count and but we're really grateful for the swift action of government we only I mean we have less than 4,000 places in the country and infection rate is is really slow so we've really I think been able to flatten the curve and we're grateful for being able to be protected in this way so we're all working from home or learning the new normal and we're all in this together that's great to hear why don't you tell us a little bit about your your role you're a data person we're really going to get in with here with us you know how you spend your time okay well I hit up a date operations function in a data management function which really is the foundational part of the data value chain that then allows other parts of the organization to monetize data and leverage it as as the use cases apply we monetize it ourselves as well but really we're an enterprise wide organization that ensures that data quality is managed data is governed that we have the effective practices applied to the entire lineage of the data ownership and curation is in place and everything else from a regulatory as well as opportunity perspective then is able to be leveraged upon so historically you know data has been viewed as sort of this expense it's it's big it's growing it needs to be managed deleted after a certain amount of time and then you know ten years ago the Big Data move data became an asset you had a lot of shadow ID people going off and doing things that maybe didn't comply to the corporate ethics probably drove here here you're a part of the organization crazy but talk about that how what has changed but they in the last you know five years or so just in terms of how people approach data oh I mean you know the story I tell my colleague who are all bankers obviously is the fact that um the banker in 1989 had to mainly just know debits credit and be able to look someone in the eye and know whether or not they'd be a credit risk or not you know if we lend you money and you pay it back um the the banker of the late 90s had to then contend with the emergence of technologies that made their lives easier and allowed for automation and processes to run much more smoothly um in the early two-thousands I would say that digitization was a big focus and in fact my previous role was head of digital banking and at the time we thought digital was the panacea it is the be-all and end-all is the thing that's gonna make organizations edit lo and behold we realized that once you've gotten all your digital platforms ready they are just the plate or the pipe and nothing is flowing through it and there's no food on the plate if data is not the main so really um it's always been an acid I think organizations just never consciously knew that data was there okay so so it sounds like once you've made that sort of initial digital transformation you really had to work it and what we're hearing from a lot of practitioners like toughest challenges related to that involve different parts of the organization different skill sets of challenges and sort of getting everybody to work together on the same page it's better but maybe you could take us back to sort of when you started on this initiative around data ops what was that like what were some of the challenges that you faced and how'd you get through them first and foremost Dave organizations used to believe that data was I t's problem and that's probably why you you then saw the emergence of things like shadow IP but when you really acknowledge that data is and si just like money is an asset then you you have to then take accountability for it just the same way as you would any other asset in the organization and you will not add the a its management to a separate function that's not code to the business and oftentimes IT are seen as a support for an enabling but not quite the main show in most organizations right so what we we then did is first emphasize that data is a business capability a business function it presides in business next to product management next to marketing makes to everything else that the business needs for data management also has to be for to every role in every function to different degrees and varying bearing events and when you take accountability as an owner of a business unit you also take accountability for the data in the systems that support the business unit for us that was the first picture um and convincing my colleagues that data was their problem and not something that we had to worry about and they just kind of leave us to - it was was also a journey but that was kind of the first step in - in terms of getting the data operations journey going um you had to first acknowledge please carry on no you just had to first acknowledge that it's something you must take accountability of as a banker not just need to a different part of the organization that's a real cultural mindset you know in the game of rock-paper-scissors you know culture kinda beats everything doesn't it it's almost like a yep a trump card and so so the businesses embrace that but but what did you do to support that is there has to be trust in the data that it has to be a timeliness and so maybe you could pick us through how you achieve those objectives and maybe some other objectives that business the man so the one thing I didn't mention Davis that obviously they didn't embrace it in the beginning it wasn't a it wasn't there oh yeah that make sense they do that type of conversation um what what he had was a few very strategic people with the right mindset that I could partner with that understood the case for data management and while we had that as as an in we developed a framework for a fully matured data operations capability in the organization and what that would look like in a target date scenario and then what you do is you wait for a good crisis so we had a little bit of a challenge in that our local regulator found us a little bit wanting in terms of our data quality and from that perspective it then brought the case for data quality management to the whole so now there's a burning platform you have an appetite for people to partner with you and say okay we need this to comply to help us out and when they start seeing their opt-in action do they stick then buy into into the concepts so sometimes you need to just wait for a good price and leverage it and only do that which the organization will appreciate at that time you don't have to go Big Bang data quality management was the use case at the time five years ago so we focused all our energy on that and after that it gave us leeway and license really bring to maturity or the other capabilities of the business might not well understand as well so when that crisis hit of thinking about people process in technology you probably had to turn some knobs in each of those areas can you talk about that so from a technology perspective that that when we partnered with with IBM to implement information analyzer for us in terms of making sure that then we could profile the data effectively what was important for us is to to make strides in terms of showing the organization progress but also being able to give them access to self-service tools that will give them insight into their data from a technology perspective that was kind of I think that the genesis of of us implementing and the IBM suite in earnest from a data management perspective people wise we really then um also began a data stewardship journey in which we implemented business unit stewards of data I don't like using the word steward because in my organization it's taken lightly it's almost like a part-time occupation so we converted them we call them data managers and and the analogy I would give is every department with a pl any department worth its salt has a FD or financial director and if money is important to you you have somebody helping you take accountability and execute on your responsibilities and managing that that money so if data is equally important as an asset you will have a leader a manager helping you execute on your data ownership accountability and that was the people journey so firstly I had kind of soldiers planted in each department which were data managers that would then continue building the culture maturing the data practices as as applicable to each business unit use cases so what was important is that every manager in every business unit to the Data Manager focus their energy on making that business unit happy by ensuring that their data was of the right compliance level and the right quality the right best practices from a process and management perspective and was governed through and then in terms of process really it's about spreading through the entire ecosystem data management as a practice and can be quite lonely in the sense that unless the core business of an organization is managing data they worried about doing what they do to make money and most people in most business units will be the only unicorn relative to everybody else who does what they do and so for us it was important to have a community of practice a process where all the data managers across business as well as the technology parts and the specialists who were data management professionals coming together and making sure that we we work together on on specific use so I wonder if I can ask you so the the industry sort of likes to market this notion of of DevOps applied to data and data op have you applied that type of mindset approach agile of continuous improvement is I'm trying to understand how much is marketing and how much actually applicable in the real world can you share well you know when I was reflecting on this before this interview I realized that our very first use case of data officers probably when we implemented information analyzer in our business unit simply because it was the first time that IT and business as well as data professionals came together to spec the use case and then we would literally in an agile fashion with a multidisciplinary team come together to make sure that we got the outcomes that we required I mean for you to to firstly get a data quality management paradigm where we moved from 6% quality at some point from our client data now we're sitting at 99 percent and that 1% literally is just the timing issue to get from from 6 to 99 you have to make sure that the entire value chain is engaged so our business partners were the fundamental determinant of the business rules apply in terms of what does quality mean what are the criteria of quality and then what we do is translate that into what we put in the catalog and ensure that the profiling rules that we run are against those business rules that were defined at first so you'd have upfront determination of the outcome with business and then the team would go into an agile cycle of maybe two-week sprints where we develop certain things have stand-ups come together and then the output would be - boarded in a prototype in a fashion where business then gets to go double check that out so that was the first iterate and I would say we've become much more mature at it and we've got many more use cases now and there's actually one that it's quite exciting that we we recently achieved over the end of 2019 into the beginning of this year so what we did was they've am worried about the sunlight coming through the window you look crazy to me like the sunset in South Africa we've been on the we've been on CubeSat sometimes it's so bright we have to put on sunglasses but so the most recent one which was in in late 2019 coming in too early this year we we had long kind of achieved the the compliance and the regulatory burning platform issues and now we are in a place of I think opportunity and luxury where we can now find use cases that are pertinent to business execution and business productivity the one that comes to mind is where a hundred and fifty eight years old as an organization right so so this Bank was born before technology it was also born in the days of light no no no integration because every branch was a standalone entity you'd have these big ledges that transactions were were documented in and I think once every six months or so these Ledger's would be taken by horse-drawn carriage to a central place to give go reconcile between branches and paper but the point is if that is your legacy the initial kind of ERP implementations would have been focused on process efficiency based on old ways of accounting for transactions and allocating information so it was not optimized for the 21st century our architecture had has had huge legacy burden on it and so going into a place where you can be agile with data is something that we're constantly working toward so we get to a place where we have hundreds of branches across the country and all of them obviously telling to client servicing clients as usual and and not being able for any person needing sales teams or executional teams they were not able in a short space of time to see the impact of the tactic from a data perspective um we were in a place where in some cases based on how our Ledger's roll up in the reconciliation between various systems and accounts work it would take you six weeks to verify whether your technique were effective or not because to actually see the revenue hitting our our general ledger and our balance sheet might take that long that is an ineffective way to operate in a such a competitive environment so what you had our frontline sales agents literally manually documenting the sales that they had made but not being able to verify whether that or not is bringing revenue until six weeks later so what we did then is we sat down and defined all the requirements from a reporting perspective and the objective was moved from six weeks latency to 24 hours um and even 24 hours is not perfect our ideal would be that bite rows of day you're able to see what you've done for that day but that's the next the next epoch that will go through however um we literally had the frontline teams defining what they'd want to see in a dashboard the business teams defining what the business rules behind the quality and the definitions would be and then we had an entire I'm analytics team and the data management team working around sourcing the data optimising and curating it and making sure that the latency had done that's I think only our latest use case for data art um and now we're in a place where people can look at a dashboard it's a cubed self-service they can Logan at any time I see the sales they've made which is very important right now and the time of overt nineteen from a from a productivity and executional competitiveness listing those are two great use cases of cooling so the first one you know going from data quality 6% the 99% I mean 6% is all you do is spend time arguing about the data stills probity and then 99% you're there and you said it's just basically a timing issue use latency in the timing and then the second one is is instead of paving the cow path with an outdated you know ledger Barratt data process week you've now compressed that down to 24 hours you want to get the end of day so you've built in the agility into your data pipeline I'm gonna ask you then so when GDP are hit were you able to very quickly leverage this capability and and imply and then maybe other of compliance edik as well Oh actually you know what we just now was post gdpr us um and and we got GDP all right about three years ago but literally all we got right was reporting for risk and compliance purposes the use cases that we have now are really around business opportunity lists so the risk so we prioritize compliance report a long time ago were able to do real-time reporting of a single transaction perspective I'm suspicious transactions etc I'm two hours in Bank and our governor so from that perspective that was what was prioritize in the beginning which was the initial crisis so what you found is an entire engine geared towards making sure that data quality was correct for reporting and regulatory purposes but really that is not the be-all and end-all of it and if that's all we did I believe we really would not have succeeded or could have stayed dead we succeeded because data monetization is actually the penisy the leveraging of data for business opportunity is is actually then what tells you whether you've got the right culture or not you're just doing it to comply then it means the hearts and minds of the rest of the business still aren't in the data game I love this story because it's me it's nirvana for so many years we've been pouring money to mitigate risk and you have no choice do it you know the general council signs off on it the the CFO but grudgingly signs off on it but it's got to be done but for years decades we've been waiting to use these these risk initiatives to actually drive business value you know kind of happened with enterprise data warehouse but it was too slow it was complicated it certainly didn't happen with with email archiving that was just sort of a tech balk it sounds like you know we're at that point today and I want to ask you to me like you know you we talking earlier about you know the crisis gonna perpetuated this this cultural shift and you took advantage of that so we're on the mother nature dealt up a crisis like we've never seen before how do you see your data infrastructure your data pipeline your data ops what kind of opportunities do you see in front of you today as a result of mobit nineteen well I mean because of of the quality of mind data that we had now we were able to very quickly respond to to pivot nineteen in in our context where the government and put us on lockdown relatively early in in the curve in disciple of infection and what it meant is it brought a little bit of a shock to the economy because small businesses all of a sudden didn't have a source of revenue for potentially three to six weeks and based on the data quality work that we did before it was actually relatively easy to be agile enough to do the things that we did so within the first weekend of of lockdown in South Africa we were the first bank to proactively and automatically offer small businesses and student um students with loans on our books a instant preman payment holiday assuming they were in good standing and we did that upfront though it was actually an up out process rather than you had to fall in and arrange for that to happen and I don't believe we would have been able to do that if our data quality was not with um we have since made many more initiatives to try and keep the economy going to try and keep our clients in in a state of of liquidity and so you know data quality at that point and that Dharma is critical to knowing who you're talking to who needs what and in which solutions would best be fitted towards various segments I think the second component is um you know working from home now brings an entirely different normal right so so if we have not been able to provide productivity dashboard and and sales and dashboards to to management and all all the users that require it we would not be able to then validate or say what our productivity levels are and other people are working from home I mean we still have essential services workers that physically go into work but a lot of our relationship bankers are operating from home and that face the baseline and the foundation that we said productivity packing for various metric being able to be reported on in a short space of time has been really beneficial the next opportunity for us is we've been really good at doing this for the normal operational and front line and type of workers but knowledge workers have also know not necessarily been big productivity reporters historically they kind of get an output then the output might be six weeks down the line um but in a place where teams now are not locate co-located and work needs to flow in an edge of passion we need to start using the same foundation and and and data pipeline that we've laid down as a foundation for the reporting of knowledge work and agile team type of metric so in terms of developing new functionality and solutions there's a flow in a multidisciplinary team and how do those solutions get architected in a way where data assists in the flow of information so solutions can be optimally developed well it sounds like you're able to map a metric the business lines care about you know into these dashboards you using the sort of data mapping approach if you will which makes it much more relevant for the business as you said before they own the data that's got to be a huge business benefit just in terms of again we talked about cultural we talked about speed but but the business impact of being able to do that it has to be pretty substantial it really really is um and and the use cases really are endless because every department finds their own opportunity to utilize in terms of their also I think the accountability factor has has significantly increased because as the owner of a specific domain of data you know that you're not only accountable to yourself and your own operation but people downstream to you as a product and and an outcome depend on you to ensure that the quality of the data you produces is of a high nature so so curation of data is a very important thing and business is really starting to understand that so you know the cards Department knows that they are the owners of card data right and you know the vehicle asset Department knows that they are the owners of vehicle they are linked to a client profile and all of that creates an ecosystem around the plan I mean when you come to a bank you you don't want to be known as a number and you don't want to be known just for one product you want to be known across everything that you do with that with that organization but most banks are not structured that way they still are product houses and product systems on which your data reside and if those don't act in concert then we come across extremely schizophrenic as if we don't know our clients and so that's very very important to me like I could go on for an hour talking about this topic but unfortunately we're out of time thank you so much for sharing your deep knowledge and your story it's really an inspiring one and congratulations on all your success and I guess I'll leave it with you know what's next you gave us you know a glimpse of some of the things you wanted to do pressing some of the the elapsed times and the time cycle but but where do you see this going in the next you know kind of mid term and longer term currently I mean obviously AI is is a big is a big opportunity for all organizations and and you don't get automation of anything right if the foundations are not in place so you believe that this is a great foundation for anything AI to to be applied in terms of the use cases that we can find the second one is really um providing an API economy where certain data product can be shared with third parties I think that probably where we want to take things as well we are ready utilizing external third-party data sources I'm in our data quality management suite to ensure validity of client identity and and and residents and things of that nature but going forward because been picked and banks and other organizations are probably going to partner to to be more competitive going forward we need to be able to provide data product that can then be leveraged by external parties and vice-versa the trooper like thanks again great having you thank you very much Dave appreciate the opportunity and thank you for watching everybody that we go we are digging in the data offs we've got practitioners we've got influencers we've got experts we're going in the crowd chat it's the crowd chat dot net flash data ops but keep it right there way back but more coverage this is Dave Volante for the cube [Music]

>> live from Las Vegas. It's the queue covering del Technologies. World twenty nineteen. Brought to you by Del Technologies and its ecosystem partners. >> Welcome back to Las Vegas. Lisa Martin with John Ferrier. You're watching the Cube live at Del Technologies World twenty nineteen. This is our second full day of Double Cube set coverage. We've got a couple of we're gonna really cool conversation coming up for you. We've got Robbie Pender County, one of our alumni on the cue back as VP product management server solutions. Robbie, Welcome back. >> Thank you, Lisa. Much appreciated. >> And you brought some Hollywood? Yes. Glenn Glenn ER, president of Sony Innovation Studios. Glenn and welcome to the Cube. >> Thank you very much. It's great to be here. >> So you are love this intersection of Hollywood and technology. But you're a filmmaker. >> Yeah. I have been filming movies for many years. Uh, I started off making motion pictures for many years. Executive produced him and over so production for them at one of our movie labels called Screen Gems, which is part of Sony Pictures. >> Wait a tremendous amount of evolution of the creative process being really fueled by technology and vice versa. Sony Innovation Studios is not quite one year old. This is a really exciting venture. Tell us about that and and what the the impetus was to start this company. >> You know that the genesis for it was based out of necessity because I looked at a nice Well, you know, I love making movies were doing it for a long time. And the challenge of making good pictures is resource is and you never get enough money believing not you never get enough money and never get enough time. That's everybody's issue, particularly time management. And I thought, Well, you know, we got a pretty good technology company behind us. What if we looked inward towards technology to help us find solutions? And so innovation studios is born out of that idea on what was exciting about it was to know that we had, uh, invited partners to the game right here with Del so that we could make movies and television shows and commercials and even enterprise solutions leaning into state of the art and cutting edge technology. >> And what some of the work prize and you guys envision coming out this mission you mentioned commercials. TV is it going to be like an artist's studio actor? Ackerson Ball is Take us through what this is going to look like. How does it get billed out? >> I lean into my career as a producer. To answer that one and say is going to enable that's one of the greatest things about being a producer is enabling stories, uh, inspiring ideas to be Greenland. That may not have been able to be done so before. And there's a key reason why we can't do that, because one of our key technologies is what we call the volumetric image acquisition. That's a lot of words. You probably say. What the heck is that? But a volumetric image acquisition is our ability to capture a real world, this analog world and digitize it, bring it into our servers using the power of Del and then live in that new environment, which is now a virtual sets. And that virtual set is made out of billions and trillions in quadrillions of points, much like the matter around us. And it's a difference because many people use pixels, which is interpretation of like worry, using points which is representative of the world around us, so it's a whole revolutionary way of looking at it. But what it allows us to do is actually film in it in a thirty K moving volume. >> It's like a monster green screen for the world. Been away >> in a way, your your your your action around it because you have peril X so these cameras could be photographing us. And for all you know, we may not be here. Could be at stage seven at Innovation Studios and not physically here, but you couldn't tell it. If >> this is like cloud computing, we talking check world, you don't the provisional these resource is you just get what you want. This is Hollywood looking at the artistry, enabling faster, more agile storytelling. You don't need to go set up a town and go get the permit. All the all the heavy lifting you're shooting in this new digital realm. >> That's right. Exactly. Now I love going on location on. There's a lot to celebrate about going on location, but we can always get to that location. Think of all the locations that we want to be in that air >> base off limits. Both space, the one I >> haven't been, uh, but but on said I've been I've walked on virtual moons and I've walked on set moons. But what if we did a volumetric image acquisition of someone set off the moon? Now we have that, and then we can walk around it. Or what if there's a great club, a nightclub? This says guys want you shoot here, but we have performances Monday night, Tuesday night, Wednesday night there. You know they have a job. What if we grab that image, acquired it, and then you could be there anytime you want. >> Robbie, we could go for an hour here. This is just a great comic. I >> completely agree with you. >> The Cube. You could. You could sponsor a cube in this new world. We could run the Q twenty four seven. That's absolutely >> right. And we don't even have >> to talk about the relationship with Dale because on Del Technologies, because you're enabling new capabilities. New kind of artistry was just totally cool. Want to get back to the second? But you guys were involved. What's your role? How do you get involved? Tell the story about your >> John. I mean, first and foremost one of things that didn't Glendon mention is he's actually got about fifty movies to his credit. So the guy actually knows this stuff, so which is absolutely fantastic. So we said, How do you go take average to the next level? So what else is better than trying to work something out, wherein we together between what Glenn and Esteem does at the Sony Innovation Labs for Studio Sorry. And as in Dead Technologies could do is to try and actually stretch the boundaries of our technology to a next tent that when he talks about kazillion bytes of data right one followed the harmony of our zeros way have to be able to process the data quickly. We have to be able to go out and do their rendering. We probably have to go out and do whatever is needed to make a high quality movie, and that, I think, in a way, is actually giving us an opportunity to go back and test the boundaries of their technology. They're building, which we believe this is the first of its kind in the media industry. If we can go learn together from this experience, we can actually go ahead and do other things in other industries. To maybe, and we were just talking about how we could also take this. He's got his labs here in Los Angeles, were thinking maybe one of the next things we do based on the learnings we get, we probably could take it to other parts of the world. And if we are successful, we might even take it to other industries. What if we could go do something to help in this field of medicine? >> It's just thinking that, right? Yes. >> Think about it. Lisa, John. I mean, it's phenomenal. I mean, this is something Michael always talks about is how do we as del technologies help in progress in the human kind? And if this is something that we can learn from, I think it's going to be phenomenal. >> I think I think that's so interesting. Not only is that a good angle for Del Technologies, the thing that strikes me is the access toe artist trees, voices, new voices that may be missed in the prop the vetting process the old way. But, you know, you got to know where we're going. No, in the Venture Capital way seen this with democratization of seed labs and incubators, where, if you can create access to the story, tells on the artists we're gonna have one more exposure to people might have missed. But also as things change, like whether it's Ray Ray beaming and streaming, we saw in the gaming side to pull a metric or volumetric things. You're gonna have a better canvas, more paint brushes on the creative side and more. Artist. Is that the mission to get AC, get those artists in there? Is it? Is that part of the core mission submission? Because you're going to be essentially incubating new opportunities really fast. >> It's, uh, it's very important to me. Personally. I know it speaks of the values of both Sony and L. I like to call it the democratization of storytelling. You know, I've been very blessed again, a Hollywood producer, and we maybe curate a certain kind of movie, a certain kind of experience. But there's so many voices around the world that need to be hurt, and there are so many stories that otherwise can't be enabled. Imagine a story that perhaps is a unique >> special voice but requires distance. It requires five disparate locations Perhaps it's in London, Piccadilly Circus and in Times Square. And perhaps it's overto Abu Dhabi on DH Libya somewhere because that's part of the story. We can now collapse geography and bring those locations to a central place and allow a story to be told that may not otherwise have been able to be created. And that's vital to the fabric of storytelling worldwide's >> going change the creative process to you don't have to have that waterfall kind of mentality like we don't talk about intact. You're totally distributed content, decentralized, potentially the creative process going change with all the tools and also the visual tools. >> That's right. It's >> almost becoming unlimited. >> You wanted to be unlimited. You want the human spirit to be unlimited. You want to be able to elevate people on. That's the great thing about what we're trying to achieve and will achieve. >> It is your right. I mean, it is interesting, you know, we were just talking about this, too. Uh, we're in, you know, as an example. Shock tank. Yes, right. I mean, they obviously did it. The filming and stuff, and then they don't have the access. Let's say to the right studio. But the fact is, they had all this done. Andi, you know, they had all the rendering they had captured. Already done. You could now go out and do your chute without having all the space you needed. >> That's right. In the case of Shark Tank, which shoots a Sony Pictures studios, they knew they had a real estate issue. The fact of the matter is, there's a limited amount of sound stages around the world. They needed to sound stages and only had access to one. So we went in and we did a volumetric image acquisition of their exit interview stage. They're set. And then when it came time to shoot the second half a season ten, one hundred contestants went into a virtual set and were filmed in that set. And the funny thing is, one of the guys in the truck you know how you have the camera trucks and, you know, off offstage, he leaned into the mike. Is that you guys, could you move that plant a couple inches to the left and somebody said, Uh, I don't think we can do it right now, he said, We're on a movie lot. You could move a plant. They said No, it's physically not there. We're on innovation studios goes Oh, that's right. It's virtual mind. >> So he was fooled. >> He was pulled. In a way, we're >> being hashing it out within a team. When we heard about some of the things you know Glenn and Team are doing is think about this. If you have to teach people when we are running short of doctors, right? Yeah, if you could. With this technology and the learnings that come from here, if you could go have an expert surgeon do surgery once you're captured, it would be nice. Just imagine, to take that learning, go to the new surgeons of the future and trained them and so they can get into the act without actually doing it. So my point and all this is this is where I think we can take technology, that next level where we can not only learn from one specific industry, but we could potentially put it to human good in terms of what we could to and not only preparing the next of doctors, but also take it to the next level. >> This was a great theme to Michael Dell put out there about these new kinds of use case is that the time is now to do before. Maybe you could get there technology, but maybe aspirational. Hey, let's do it. I could see that, Glenn, I want to ask you specifically. The time is now. This is all kind of coming together. Timing's pretty good. It's only gonna get better. It's gonna be good Tech, Tech mojo Coming for the creative side. Where were we before? Because I can almost imagine this is not a new vision for you. Probably seen it now that this house here now what was it like before for, um and compare contrast where you were a few years ago, maybe decades. Now what's different? Why? Why is this so important >> for me? There's a fundamental change in how we can create content and how we can tell stories. It used to be the two most expensive words in the movie TV industry were what if today that the most important words to me or what if Because what if we could collapse geography? What if we could empower a new story? Technology is at a place where, if we can dream it. Chances are we can make it a reality. We're changing the dynamics of how we may content. He used to be lights, action camera. I think it's now lights, action, compute power action, you know, is that kind of difference. >> That is an amazing vision. I think society now has opportunities to kind of take that from distance learning to distance connections, the distance sharing experiences, whether it's immersion, virtual analog face, the face could really be powerful. Yeah, >> and this is not even a year old. >> That's right. >> So if you look at your your launch, you said, I think let june fourth twenty eighteen. What? Where do you go from here? I mean, like we said, this is like, unlimited possibilities. But besides putting Robbie in the movie, naturally, Yes, of course I have >> a star here >> who? E. >> So I got to say he's got star power. >> What's what's next year? Exactly? >> Very exciting. I will say we have shark tank Thie Advanced Imaging Society gives an award for being the first volume met you set ever put out on the airwaves. Uh, for that television show is a great honor. We have already captured uh, men in black. We captured a fifty thousand square foot stage that had the men in black headquarters has been used for commercials to market the film that comes out this June. We have captured sets where television shows >> and in hopes, that they got a second season and one television show called up and said, Guys, we got the second season so they don't have to go back to what was a very expensive set and a beautiful set >> way captured that set. It reminds me of a story of productions and a friend of mine said, which is every year. The greatest gift I have is building a beautiful set and and to me, the biggest challenges. When I say, remember that sent you built four years ago? I need that again. Now you can go >> toe. It's hard to replicate the exact set. You capture it digitally. It lives. >> That's exactly it. >> And this is amazing. I mean, I'd love to do a cube set into do ah, like a simulcast. Virtually. >> So. This is the next thing John and Lisa. You guys could be sitting anywhere going forward >> way. You don't have to be really sitting here >> you could be doing. What do you have to do? And, you know, you got everything rendered >> captured. We don't have to come to Vegas twenty times a year. >> We billed upset once. You >> know you want to see you here believing that So I'LL take that >> visual is a really beautiful thing. So if we can with hologram just seeing people doing conscious with Hollywood. Frank Zappa just did a concert hologram concert, but bringing real people and from communities around the world where the localization diversity right into a content mixture is just so powerful. >> Actually, you said something very interesting, John, which is one of the other teams to which is, if you have a globally connected society and he wanted try and personalize it to that particular nation ethnicity group. You can do that easily now because you can probably pop in actors from the local area with the same. Yeah, think about it. >> It's surely right. >> There's a cascade of transformations that that this is going Teo to generate. I mean just thinking of how different even acting schools and drama schools will be well, teaching people how to behave in these virtual environments, right? >> How to immerse themselves in these environments. And we have tricks up our sleeves that Khun put the actor in that moment through projection mapping and the other techniques that allow filmmakers and actors to actually understand the world. They're about to stepped in rather than a green screen and saying, OK, there's going to be a creature over here is gonna be blue Water falls over there will actually be able to see that environment because that environment will exist before they step on the stage. >> Well, great job the Del Partnership. On my final question, Glenn, free since you're awesome and got a great vision so smart, experienced, I've been really thinking a lot about how visualization and artistry are coming together and how disciplines silo disciplines like music. They do great music, but they're not translating to the graphics. It was just some about Ray tracing and the impact with GP use for an immersive experiences, which we're seeing on the client side of the house. It del So you got the back and stuff you metrics. And so, as artist trees, the next generation come up. This is now a link between the visual that audio the storytelling. It's not a siloed. >> It is not >> your I want to get your vision on. How do you see this playing out and your advice for young artists? That might be, you know, looked as country. What do you know? That's not how we do it. >> Well, the beautiful thing is that there are new ways to tell stories. You know, Hollywood has evolved over the last century. If you look at the studios and still exist, they have all evolved, and that's why they do exist. Great storytellers evolved. We tell stories differently, so long as we can emotionally relate to the story that's being told. I say, Do it in your own voice. The cinematic power is among us. We're blessed that when we look back, we have that shared experience, whether it's animate from Japan or traditional animation from Walt Disney everybody, she shares a similar history. Now it's opportunity to author our new stories, and we can do that and physical assets and volumetric assets and weaken blend the real and the unreal. With the compute power. The world is our oyster. >> Wow, >> What a nice >> trap right there. >> Exactly. That isn't my job. The transformation of of Hollywood. What it's really like the tip of the iceberg. Unlimited story potential. Thank you, Glenn. Thank you. This has been a fascinating cannot wait to hear, See and feel and touch What's next for Sony Animation studios With your technology power, we appreciate your time. >> Thank you. Thank you both. Which of >> our pleasure for John Carrier? I'm Lisa Martin. You're watching the Cube lie from Del Technologies World twenty nineteen We've just wrapped up Day two we'LL see you tomorrow.

>> Live from Las Vegas. It's the queue covering del Technologies. World twenty nineteen. Brought to you by Del Technologies and its ecosystem partners. >> Welcome back to Las Vegas. Lisa Martin with John Ferrier. You're watching the Cube live at Del Technologies World twenty nineteen. This is our second full day of Double Cube set coverage. We've got a couple of we got a really cool conversation coming up for you. We've got Robbie Pender County, one of our alumni on the cue back as VP product management server solutions. Robbie, Welcome back. >> Thank you, Lisa. Much appreciated. >> And you brought some Hollywood? Yes, Glenn Glenn er, president of Sony Innovation Studios. Glenn and welcome to the Cube. >> Thank you very much. It's great to be here. >> So you are love this intersection of Hollywood and technology. But you're a filmmaker. >> Yeah, I have been filming movies for many years. I started off making motion pictures for many years. Executive produced him and oversaw production for them at one of our movie labels called Screen Gems, which is part of Sony Pictures. >> Wait a tremendous amount of evolution of the creative process being really fueled by technology and vice versa. Sony Innovation Studios is not quite one year old. This is a really exciting venture. Tell us about that and and what the The impetus was to start this company. >> You know that the genesis for it was based out of necessity because I looked at a nice Well, you know, I love making movies were doing it for a long time. And the challenge of making good pictures is resource is and you never get enough money. Believe or not, you never get enough money and never get enough time. That's everybody's issue, particularly time management. And I thought, Well, you know, we got a pretty good technology company behind us. What if we looked inward towards technology to help us find solutions? And so innovation studios is born out of that idea on what was exciting about it was to know that we had, uh, invited partners to the game right here with Del so that we could make movies and television shows and commercials and even enterprise solutions leaning into state of the art and cutting edge technology. >> And what some of the work private you guys envision coming out this mission you mentioned commercials TV. Is it going to be like an artist's studio actor actress in ball is take us through what this is going to look like. How does it get billed out? >> I lean into my career as a producer. To answer that one and say is going to enable that's one of the greatest things about being a producer is enabling stories, uh, inspiring ideas to be green lit that may not have been able to be done so before. And there's a key reason why we can't do that, because one of our key technologies is what we call the volumetric image acquisition. That's a lot of words. You probably say. What the heck is that? But a volumetric image acquisition is our ability to capture a real world, this analog world and digitize it, bring it into our servers using the power of Del and then live in that new environment, which is now a virtual sets. And that virtual set is made out of billions and trillions in quadrillions of points, much like the matter around us. And that's a difference because many people use pixels, which is interpretation of like we're using points which is representative of the world around us, so it's a whole revolutionary way of looking at it. But what it allows us to do is actually film in it in a thirty K moving volume. >> It's like a monster green screen for the world. Been away >> in a way, you're you're you're interaction around it because you have peril X, so these cameras could be photographing us. And for all you know, we may not be here. Could be at stage seven at Innovation Studios and not physically here, but you couldn't tell the >> difference. This is like cloud computing. We talking check world, you don't the provisional these resource is you just get what you want. This is Hollywood looking at the artistry, enabling faster, more agile storytelling. You don't need to go set up a town and go get the permit. All the all the heavy lifting you're shooting in this new digital realm. >> That's right. Exactly. Now I love going on location on There's a lot to celebrate about going on location, but we can always get to that location. Think of all the locations that we want to be in that air >> base off limits. Both space, the one I >> haven't been, uh, but but on said I've been I've walked on virtual moons and I've walked on set moons. But what if we did a volumetric image acquisition of someone set off the moon? Now we have that, and then we can walk around it. Or what if there's a great club, a nightclub? This says guys and wanted to shoot here. But we have performances Monday night, Tuesday night, Wednesday night there. You know they have a job. What? We grabbed that image acquired it. And then you could be there anytime you want. >> Robbie, we could go for an hour here. This is just a great comic. I >> completely agree with >> you. The Cube. You could You could sponsor a cube in this new world. We could run the Q twenty four seven is absolutely >> right. And we don't even have >> to talk about the relationship with Dale because on Del Technologies, because you're enabling new capabilities. New kind of artistry, just totally cool. Want to get back to the second? But you guys were involved. What's your role? How do you get involved? Tell the story about your >> John. I mean, first and foremost one of the things didn't Glendon mention is he's actually got about fifty movies to his credit. So the guy actually knows this stuff. So which is absolutely fantastic. So we said, How do you go take coverage to the next level? So what else is better than trying to work something out, wherein we together between what Glenn and Esteem does at the Sony Innovation Labs for Studio Sorry. And as in Dead Technologies could do is to try and actually stretch the boundaries of our technology to a next tent that when he talks about kazillion bytes of data right one followed by harmony, our zeros. We have to be able to process the data quickly. We have to be able to go out and do their rendering. We probably have to go out and do whatever is needed to make a high quality movie, and that, I think, in a way, is actually giving us an opportunity to go back and test the boundaries of their technology. They're building, which we believe this is the first of its kind in the media industry. If we can go learn together from this experience, we can actually go ahead and do other things in other industries do. Maybe. And we were just talking about how we could also take this. He's got his labs here in Los Angeles, were thinking maybe one of the next things we do based on the learning to get. We probably could take it to other parts of the world. And if we are successful, we might even take it to other industries. What if we could go do something to help in this field of medicine? >> It's just thinking that, right? Yes. Think >> about it. Lisa, John. I mean, it's phenomenal. I mean, this is something Michael always talks about is how do we as del technologies help in progress in the human kind? And if this is something that we can learn from, I think it's going to be phenomenal. >> I think I think that's so interesting. Not only is that a good angle for Del Technologies, the thing that strikes me is the access to artist trees, voices, new voices that may be missed in the prop the vetting process the old way. But, you know, you got to know where we're going. No, in the venture, cobble way seen this with democratization of seed labs and incubators where, if you can create access to the story, tells on the artists we're gonna have one more exposure to people might have missed. But also as things change, like whether it's Ray Ray beaming and streaming we saw in the gaming side to volumetric or volumetric things, you're gonna have a better canvas, more paint brushes on the creative side and more action. Is that the mission to get AC Get those artists in there? Is it? Is that part of the core mission submission? Because you're going to be essentially incubating new opportunities really fast. >> It's, uh, it's very important to me. Personally. I know it speaks of the values of both Sony and L. I like to call it the democratization of storytelling. You know, I've been very blessed again, a Hollywood producer, and we maybe curate a certain kind of movie, a certain kind of experience. But there's so many voices around the world that need to be hurt, and there are so many stories that otherwise can't be enabled. Imagine a story that perhaps is >> a unique special voice but requires distance. It requires five disparate locations. Perhaps it's in London Piccadilly Circus and in Times Square. And perhaps it's overto Abu Dhabi on DH Libya somewhere because that's part of the story. We can now collapse geography and bring those locations to a central place and allow a story to be told that may not otherwise have been able to be created. And that's vital to the fabric of storytelling. Worldwide >> is going to change the creative process to You don't have to have that waterfall kind of mentality like we don't talk about intact. You're totally distributed content, decentralized, potentially the creative process going change with all the tools and also the visual tools. >> That's right. It's >> almost becoming unlimited. >> You want it to be unlimited. You want the human spirit to be unlimited. You want to be able to elevate people on. That's the great thing about what we're trying to achieve and will achieve. >> It is your right. I mean, it is interesting, you know, we were just talking about this too. We're in, you know, as an example, shock tank. Yes, right. I mean, they obviously did it the filming and stuff, and then they don't have the access, let's say to the right studio, but The fact is, there had all this done on DH. No, they had all the rendering. They had the captured already done. You could now go out and do your chute without having all the space you needed. >> That's right. In the case of Shark Tank, which shoots a Sony Pictures studios, they knew they had a real estate issue. The fact of the matter is, there's a limited amount of sound stages around the world. They needed to sound stages and only had access to one. So we went in and we did a volumetric image acquisition of their exit interview stage. They're set. And then when it came time to shoot the second half a season ten, one hundred contestants went into a virtual set and were filmed in that set. And the funny thing is, one of the guys in the truck you know how you have the camera trucks and, you know, off offstage, he leaned into the mike. Is that you guys, could you move that plant a couple inches to the left and somebody said, Uh, I don't think we can do it right now, he said. We're on a movie lot. You could move a plant. They said, No, it's physically not there. We're on innovation studios goes Oh, that's right. It's virtual mind. >> So he was fooled. >> He was pulled. In a way, we're >> being hashing it out within a team. When we heard about some of the things you know Glenn and Team are doing is think about this. If you have to teach people when we are running short of doctors, right? Yeah, if you could. With this technology and the learnings that come from here, if you could go have an expert surgeon do surgery once you're captured, it would be nice. Just imagine, to take that learning, go to the new surgeons of the future and trained them and so they can get into the act without actually doing it. So my point in all this is this is where I think we can take technology, that next level where we can not only learn from one specific industry, but we could potentially put it to human good in terms of what we could to and not only preparing the next of doctors, but also take it to the next level. >> This was a great theme to Michael Dell put out there about these new kinds of use case is that the time is now to do before. Maybe you couldn't get there with technology, but maybe aspirational, eh? Let's do it. I could see that. Glenn, I want to ask you specifically. The time is now. This is all kind of coming together. Timing's pretty good. It's only gonna get better. It's gonna be good. Tech, Tech mojo Coming for the creative side. Where were we before? Because I could almost imagine this is not a new vision for you. Probably seen it now that this house here now what was it like before for, um and compare contrast where you were a few years ago, maybe decades. Now what's different? Why? Why is this so important? >> You know, for me, there's a fundamental change in how we can create content and how we can tell stories. It used to be the two most expensive words in the movie TV industry were what if today that the most important words to me or what if Because what if we could collapse geography? What if we could empower a new story? Technology is at a place where if we can dream it. Chances are we can make it a reality. We're changing the dynamics of how we may content. He used to be lights, action, camera. I think it's now lights, action, compute power action, you know, is that kind of difference. >> That is an amazing vision. I think society now has opportunities to kind of take that from distance learning to distance connections, the distance sharing experiences, whether it's immersion, virtual analog face the face. I could really be powerful. Yeah, >> and this is not even a year old. >> That's right. >> So if you look at your your launch, you said, I think let june fourth twenty eighteen. What? Where do you go from here? I mean, like we said, this is like, unlimited possibilities. But besides putting Robbie in the movie, naturally, Yes, of course I have >> a star here >> who video. >> So I got to say he's got star power. >> What's what. The next year? Exactly. >> Very exciting. I will say we have shark tank Thie Advanced Imaging Society gives an award for being the first volume metric set ever put out on the airwaves. Uh, for that television show was a great honor. Uh, we have already captured, uh, men in black. We captured a fifty thousand square foot stage that had the men in black headquarters has been used for commercials to market the film that comes out this June. We have captured sets where television >> shows and in the in hopes that they got a second season and one television show called up and said, Guys, we got the second season so they don't have to go back to what was a very expensive set and a beautiful set >> Way captured that set. It reminds me of a story of productions and a friend of mine said, which is every year. The greatest gift I have is building a beautiful set and and to me, the biggest challenges. When I say, remember that sent you built four years ago. I need that again. Now you can go >> toe hard, replicate the exact set, you capture it digitally. It lives. >> That's exactly it. >> And this is amazing. I mean, I'd love to do a cube set into do ah, like a simulcasts. Virtually. >> So. This is the next thing John and Lisa. You guys could be sitting anywhere going forward. We don't have to be really sitting here you could be doing. What do you have to do? And, you know, you got everything rendered >> captured. We don't have to come to Vegas twenty times a year. >> We billed upset once >> You want to see you here believing that So I'LL take that >> visual is a really beautiful thing. So if we can with hologram just seeing people doing conscious. But Hollywood Frank Zappa just did a concert hologram concert, but bringing real people and from communities around the world where the localization diversity right into a content mixture is just so powerful. >> Actually, you said something very interesting, John, which is one of the other teams to which is, if you have a globally connected society and he wanted try and personalize it to that particular nation ethnicity group. You can do that easily now because you can probably pop in actors from the local area with the same city. Yeah, think about it. >> It's surely right. >> There's a cascade of transformations that that this is going Teo to generate. I mean just thinking of how different even acting schools and drama schools will be well, teaching people how to behave in these virtual environments, right? >> How to immerse themselves in these environments. And we have tricks up our sleeves that Khun put the actor in that moment through projection mapping and the other techniques that allow filmmakers and actors to actually understand the world. They're about to stepped in rather than a green screen and saying, OK, there's going to be a creature over here is gonna be blue Water Falls over there will actually be able to see that environment because that environment will exist before they step on the stage. >> Well, great job the Dale Partnership On my final question, Glenn free since you're awesome and got a great vision so smart, experienced, I've been really thinking a lot about how visualization and artistry are coming together and how disciplines silo disciplines like music. They do great music, but they're not translating to the graphics. It was just some about Ray tracing and the impact with GP use for immersive experiences, which was seeing on the client side of the house. It del So you got the back and stuff, but you metrics. And so, as artist trees, the next generation come up. This is now a link between the visual that audio, the storytelling. It's not a siloed. >> It is not >> your I want to get your vision on. How do you see this playing out and your advice for young artists? That might be, you know, looked as country. What do you know? That's not how we do it. >> Well, the beautiful thing is that there are new ways to tell stories. You know, Hollywood has evolved over the last century. If you look at the studios and still exist, they have all evolved, and that's why they do exist. Great storytellers evolved. We tell stories differently, so long as we can emotionally relate to the story that's being told. I say Do it in your own voice. The cinematic power is among us. We're blessed that when we look back, we have that shared experience, whether it's animate from Japan or traditional animation from Walt Disney, everybody shares a similar history. Now it's opportunity to author our new stories and we can do that and physical assets and volumetric assets and weakened blend the real and the unreal. With the compute power. The world is our oyster. >> Wow, >> What a nice >> trap right there. >> Exactly that is, um I dropped the transformation of Hollywood. What? And it's really think the tip of the iceberg. Unlimited story potential. Thank you, Glenn. Thank you. This has been a fascinating cannot wait to hear, See and feel and touch What's next for Sony Animation studios With your technology power We appreciate your time. >> Yeah, Thank you. Thank you both of >> our pleasure for John Farrier. I'm Lisa Martin. You're watching the Cube lie from Del Technologies World twenty nineteen We've just wrapped up Day two we'LL see you tomorrow.