>> Narrator: theCUBE's live coverage is made possible by funding from Dell Technologies, creating technologies that drive human progress. (bright upbeat music plays) >> Welcome back to Barcelona, everybody. You're watching theCUBE's coverage of MWC '23, my name is Dave Vellante. Just left a meeting with the CEO of Cisco, Chuck Robbins, to meet with Jeetu Patel, who's our Executive Vice President and General Manager of security and collaboration at Cisco. Good to see you. >> You never leave a meeting with Chuck Robbins to meet with Jeetu Patel. >> Well, I did. >> That's a bad idea. >> Walked right out. I said, hey, I got an interview to do, right? So, and I'm excited about this. Thanks so much for coming on. >> Thank you for having me. It's a pleasure. >> So, I mean you run such an important part of the business. I mean, obviously the collaboration business but also security. So many changes going on in the security market. Maybe we could start there. I mean, there hasn't been a ton of security talk here Jeetu, because I think it's almost assumed. It was 45 minutes into the keynote yesterday before anybody even mentioned security. >> Huh. >> Right? And so, but it's the most important topic in the enterprise IT world. And obviously is important here. So why is it you think that it's not the first topic that people mention. >> You know, it's a complicated subject area and it's intimidating. And actually that's one of the things that the industry screwed up on. Where we need to simplify security so it actually gets to be relatable for every person on the planet. But, if you think about what's happening in security, it's not just important for business it's critical infrastructure that if you had a breach, you know lives are cost now. Because hospitals could go down, your water supply could go down, your electricity could go down. And so it's one of these things that we have to take pretty seriously. And, it's 51% of all breaches happen because of negligence, not because of malicious intent. >> It's that low. Interesting. I always- >> Someone else told me the same thing, that they though it'd be higher, yeah. >> I always say bad user behavior is going to trump good security every time. >> Every single time. >> You can't beat it. But, you know, it's funny- >> Jeetu: Every single time. >> Back, the earlier part of last decade, you could see that security was becoming a board level issue. It became, it was on the agenda every quarter. And, I remember doing some research at the time, and I asked, I was interviewing Robert Gates, former Defense Secretary, and I asked him, yeah, but we're getting attacked but don't we have the best offense? Can't we have the best technology? He said, yeah but we have so much critical infrastructure the risks to United States are higher. So we have to be careful about how we use security as an offensive weapon, you know? And now you're seeing the future of war involves security and what's going on in Ukraine. It's a whole different ballgame. >> It is, and the scales always tip towards the adversary, not towards the defender, because you have to be right every single time. They have to be right once. >> Yeah. And, to the other point, about bad user behavior. It's going now beyond the board level, to it's everybody's responsibility. >> That's right. >> And everybody's sort of aware of it, everybody's been hacked. And, that's where it being such a complicated topic is problematic. >> It is, and it's actually, what got us this far will not get us to where we need to get to if we don't simplify security radically. You know? The experience has to be almost invisible. And what used to be the case was sophistication had to get to a certain level, for efficacy to go up. But now, that sophistication has turned to complexity. And there's an inverse relationship between complexity and efficacy. So the simpler you make security, the more effective it gets. And so I'll give you an example. We have this great kind of innovation we've done around passwordless, right? Everyone hates passwords. You shouldn't have passwords in 2023. But, when you get to passwordless security, not only do you reduce a whole lot of friction for the user, you actually make the system safer. And that's what you need to do, is you have to make it simpler while making it more effective. And, I think that's what the future is going to hold. >> Yeah, and CISOs tell me that they're, you know zero trust before the pandemic was like, yeah, yeah zero trust. And now it's like a mandate. >> Yeah. >> Every CISO you talk to says, yes we're implementing a zero trust architecture. And a big part of that is that, if they can confirm zero trust, they can get to market a lot faster with revenue generating or critical projects. And many projects as we know are being pushed back, >> Yeah. >> you know? 'Cause of the macro. But, projects that drive revenue and value they want to accelerate, and a zero trust confirmation allows people to rubber stamp it and go faster. >> And the whole concept of zero trust is least privileged access, right? But what we want to make sure that we get to is continuous assessment of least privileged access, not just a one time at login. >> Dave: 'Cause things change so frequently. >> So, for example, if you happen to be someone that's logged into the system and now you start doing some anomalous behavior that doesn't sound like Dave, we want to be able to intercept, not just do it at the time that you're authenticating Dave to come in. >> So you guys got a good business. I mentioned the macro before. >> Yeah. >> The big theme is consolidating redundant vendors. So a company with a portfolio like Cisco's obviously has an advantage there. You know, you guys had great earnings. Palo Alto is another company that can consolidate. Tom Gillis, great pickup. Guy's amazing, you know? >> Love Tom. >> Great respect. Just had a little webinar session with him, where he was geeking out with the analyst and so- >> Yeah, yeah. >> Learned a lot there. Now you guys have some news, at the event event with Mercedes? >> We do. >> Take us through that, and I want to get your take on hybrid work and what's happening there. But what's going on with Mercedes? >> Yeah so look, it all actually stems from the hybrid work story, which is the future is going to be hybrid, people are going to work in mixed mode. Sometimes you'll be in the office, sometimes at home, sometimes somewhere in the middle. One of the places that people are working more and more from is their cars. And connected cars are getting to be a reality. And in fact, cars sometimes become an extension of your home office. And many a times I have found myself in a parking lot, because I didn't have enough time to get home and I was in a parking lot taking a conference call. And so we've made that section easier, because we have now partnered with Mercedes. And they aren't the first partner, but they're a very important partner where we are going to have Webex available, through the connected car, natively in Mercedes. >> Ah, okay. So I could take a call, I can do it all the time. I find good service, pull over, got to take the meeting. >> Yeah. >> I don't want to be driving. I got to concentrate. >> That's right. >> You know, or sometimes, I'll have the picture on and it's not good. >> That's right. >> Okay, so it'll be through the console, and all through the internet? >> It'll be through the console. And many people ask me like, how's safety going to work over that? Because you don't want to do video calls while you're driving. Exactly right. So when you're driving, the video automatically turns off. And you'll have audio going on, just like a conference call. But the moment you stop and put it in park, you can have video turned on. >> Now, of course the whole hybrid work trend, we, seems like a long time ago but it doesn't, you know? And it's really changed the security dynamic as well, didn't it? >> It has, it has. >> I mean, immediately you had to go protect new endpoints. And those changes, I felt at the time, were permanent. And I think it's still the case, but there's an equilibrium now happening. People as they come back to the office, you see a number of companies are mandating back to work. Maybe the central offices, or the headquarters, were underfunded. So what's going on out there in terms of that balance? >> Well firstly, there's no unanimous consensus on the way that the future is going to be, except that it's going to be hybrid. And the reason I say that is some companies mandate two days a week, some companies mandate five days a week, some companies don't mandate at all. Some companies are completely remote. But whatever way you go, you want to make sure that regardless of where you're working from, people can have an inclusive experience. You know? And, when they have that experience, you want to be able to work from a managed device or an unmanaged device, from a corporate network or from a Starbucks, from on the road or stationary. And whenever you do any of those things, we want to make sure that security is always handled, and you don't have to worry about that. And so the way that we say it is the company that created the VPN, which is Cisco, is the one that's going to kill it. Because what we'll do is we'll make it simple enough so that you don't, you as a user, never have to worry about what connection you're going to use to dial in to what app. You will have one, seamless way to dial into any application, public application, private application, or directly to the internet. >> Yeah, I got a love, hate with my VPN. I mean, it's protecting me, but it's in the way a lot. >> It's going to be simple as ever. >> Do you have kids? >> I do, I have a 12 year old daughter. >> Okay, so not quite high school age yet. She will be shortly. >> No, but she's already, I'm not looking forward to high school days, because she has a very, very strong sense of debate and she wins 90% of the arguments. >> So when my kids were that age, I've got four kids, but the local high school banned Wikipedia, they can't use Wikipedia for research. Many colleges, I presume high schools as well, they're banning Chat GPT, can't use it. Now at the same time, I saw recently on Medium a Wharton school professor said he's mandating Chat GPT to teach his students how to prompt in progressively more sophisticated prompts, because the future is interacting with machines. You know, they say in five years we're all going to be interacting in some way, shape, or form with AI. Maybe we already are. What's the intersection between AI and security? >> So a couple very, very consequential things. So firstly on Chat GPT, the next generation skill is going to be to learn how to go out and have the right questions to ask, which is the prompt revolution that we see going on right now. But if you think about what's happening in security, and there's a few areas which are, firstly 3,500 hundred vendors in this space. On average, most companies have 50 to 70 vendors in security. Not a single vendor owns more than 10% of the market. You take out a couple vendors, no one owns more than 5%. Highly fractured market. That's a problem. Because it's untenable for companies to go out and manage 70 policy engines. And going out and making sure that there's no contention. So as you move forward, one of the things that Chat GPT will be really good for is it's fundamentally going to change user experiences, for how software gets built. Because rather than it being point and click, it's going to be I'm going to provide an instruction and it's going to tell me what to do in natural language. Imagine Dave, when you joined a company if someone said, hey give Dave all the permissions that he needs as a direct report to Chuck. And instantly you would get all of the permissions. And it would actually show up in a screen that says, do you approve? And if you hit approve, you're done. The interfaces of the future will get more natural language kind of dominated. The other area that you'll see is the sophistication of attacks and the surface area of attacks is increasing quite exponentially. And we no longer can handle this with human scale. You have to handle it in machine scale. So detecting breaches, making sure that you can effectively and quickly respond in real time to the breaches, and remediate those breaches, is all going to happen through AI and machine learning. >> So, I agree. I mean, just like Amazon turned the data center into an API, I think we're now going to be interfacing with technology through human language. >> That's right. >> I mean I think it's a really interesting point you're making. Now, from a security standpoint as well, I mean, the state of the art today in my email is be careful, this person's outside your organization. I'm like, yeah I know. So it's a good warning sign, but it's really not automated in any way. So two part question. One is, can AI help? You know, with the phishing, obviously it can, but the bad guys have AI too. >> Yeah. >> And they're probably going to be smarter than I am about using it. >> Yeah, and by the way, Talos is our kind of threat detection and response >> Yes. >> kind of engine. And, they had a great kind of piece that came out recently where they talked about this, where Chat GPT, there is going to be more sophistication of the folks that are the bad actors, the adversaries in using Chat GPT to have more sophisticated phishing attacks. But today it's not something that is fundamentally something that we can't handle just yet. But you still need to do the basic hygiene. That's more important. Over time, what you will see is attacks will get more bespoke. And in order, they'll get more sophisticated. And, you will need to have better mechanisms to know that this was actually not a human being writing that to you, but it was actually a machine pretending to be a human being writing something to you. And that you'll have to be more clever about it. >> Oh interesting. >> And so, you will see attacks get more bespoke and we'll have to get smarter and smarter about it. >> The other thing I wanted to ask you before we close is you're right on. I mean you take the top security vendors and they got a single digit market share. And it's like it's untenable for organizations, just far too many tools. We have a partner at ETR, they do quarterly survey research and one of the things they do is survey emerging technology companies. And when we look at in the security sector just the number of emerging technology companies that are focused on cybersecurity is as many as there are out there already. And so, there's got to be consolidation. Maybe that's through M & A. I mean, what do you think happens? Are company's going to go out of business? There's going to be a lot of M & A? You've seen a lot of companies go private. You know, the big PE companies are sucking up all these security companies and may be ready to spit 'em out and go back public. How do you see the landscape? You guys are obviously an inquisitive company. What are your thoughts on that? >> I think there will be a little bit of everything. But the biggest change that you'll see is a shift that's going to happen with an integrated platform, rather than point solution vendors. So what's going to happen is the market's going to consolidate towards very few, less than a half a dozen, integrated platforms. We believe Cisco is going to be one. Microsoft will be one. There'll be others over there. But these, this platform will essentially be able to provide a unified kind of policy engine across a multitude of different services to protect multiple different entities within the organization. And, what we found is that platform will also be something that'll provide, through APIs, the ability for third parties to be able to get their technology incorporated in, and their telemetry ingested. So we certainly intend to do that. We don't believe, we are not arrogant enough to think that every single new innovation will be built by us. When there's someone else who has built that, we want to make sure that we can ingest that telemetry as well, because the real enemy is not the competitor. The real enemy is the adversary. And we all have to get together, so that we can keep humanity safe. >> Do you think there's been enough collaboration in the industry? I mean- >> Jeetu: Not nearly enough. >> We've seen companies, security companies try to monetize private data before, instead of maybe sharing it with competitors. And so I think the industry can do better there. >> Well I think the industry can do better. And we have this concept called the security poverty line. And the security poverty line is the companies that fall below the security poverty line don't have either the influence or the resources or the know how to keep themselves safe. And when they go unsafe, everyone else that communicates with them also gets that exposure. So it is in our collective interest for all of us to make sure that we come together. And, even if Palo Alto might be a competitor of ours, we want to make sure that we invite them to say, let's make sure that we can actually exchange telemetry between our companies. And we'll continue to do that with as many companies that are out there, because actually that's better for the market, that's better for the world. >> The enemy of the enemy is my friend, kind of thing. >> That's right. >> Now, as it relates to, because you're right. I mean I, I see companies coming up, oh, we do IOT security. I'm like, okay, but what about cloud security? Do you that too? Oh no, that's somebody else. But, so that's another stove pipe. >> That's a huge, huge advantage of coming with someone like Cisco. Because we actually have the entire spectrum, and the broadest portfolio in the industry of anyone else. From the user, to the device, to the network, to the applications, we provide the entire end-to-end story for security, which then has the least amount of cracks that you can actually go out and penetrate through. The biggest challenges that happen in security is you've got way too many policy engines with way too much contention between the policies from these different systems. And eventually there's a collision course. Whereas with us, you've actually got a broad portfolio that operates as one platform. >> We were talking about the cloud guys earlier. You mentioned Microsoft. They're obviously a big competitor in the security space. >> Jeetu: But also a great partner. >> So that's right. To my opinion, the cloud has been awesome as a first line of defense if you will. But the shared responsibility model it's different for each cloud, right? So, do you feel that those guys are working together or will work together to actually improve? 'Cause I don't see that yet. >> Yeah so if you think about, this is where we feel like we have a structural advantage in this, because what does a company like Cisco become in the future? I think as the world goes multicloud and hybrid cloud, what'll end up happening is there needs to be a way, today all the CSPs provide everything from storage to computer network, to security, in their own stack. If we can abstract networking and security above them, so that we can acquire and steer any and all traffic with our service providers and steer it to any of those CSPs, and make sure that the security policy transcends those clouds, you would actually be able to have the public cloud economics without the public cloud lock-in. >> That's what we call super cloud Jeetu. It's securing the super cloud. >> Yeah. >> Hey, thanks so much for coming to theCUBE. >> Thank you for having me. >> Really appreciate you coming on our editorial program. >> Such a pleasure. >> All right, great to see you again. >> Cheers. >> All right, keep it right there. Dave Vellante with David Nicholson and Lisa Martin. We'll be back, right after this short break from MWC '23 live, in the Fira, in Barcelona. (bright music resumes) (music fades out)

(upbeat music) >> Hello, everybody. John Walls here, as we continue our coverage of AWS re:Invent here on theCUBE. And today we're going to go talk about the edge. What's out there on the edge, and how do we make sense of it? How do we use that data, and put it to work, and how do we keep it secure? Big questions, a lot of questions, and at the end of the day, what's the value prop for you, the customer, to make it all work? With me to talk about that is the Executive Vice President and GM of HPE GreenLake, Keith White. Keith, thanks for joining us here on theCUBE. >> John, thanks so much for having me. I really appreciate the opportunity, and excited to have a conversation today. >> Yeah, good. Well, let's just jump right in. First off, about the edge. There was a time, not so long ago, that it was kind of the Wild, Wild West out there, right? And we were trying to corral this fantastic reservoir of data that was streaming in from every which point, to the point now where we've realized how to refine that, how to develop that, how to reduce that complexity, to make that actionable. Talk about that journey a little bit, about where we were with edge technology maybe five, six years ago, and how we've migrated to the point we are now, where GreenLake is doing the great work that it is. >> You know, it's really a great question, John, cause I think there's a lot of different definitions of the edge, and what does "the edge" actually mean. And you're right, you know, there's been a pretty big transformation over the last few years, especially as we think about things like IoT, and just being able to engage with edge scenarios. But today what you're seeing is a lot of digital transformations happening with companies around three big megatrends. Cloud, meaning hybrid cloud, multi-cloud, data, and how you analyze that data to make decisions. And of course the edge, like we're talking through. And you know, frankly, with the edge, this is where we see the connectivity and security requirements really connect, because that edge information is so important, so critical to stay secure, but also it's creating that tremendous amount of data, as you mentioned. And so folks want to pull that into their cloud environment, and then make decisions and analyze that data, and plug it into the systems that they have overall. And you know, you're seeing companies like Auckland Transport, right? They basically do an AI-enhanced video feed to optimize their transport routes. And as you think about supply chain and the big challenges that we're seeing today, or you think about public transportation, and, you know, really providing information with respect to customers, but how do you take and get all that information pulled together, to then make decisions from these various edge points throughout? Or a company like ABB, who's been building the factory of the future, and doing, basically, you know, robotics-as-a-service, if you will, in order to really get that precision required at the edge in order to manufacture what they need to. So, massive uses around the edge, massive data getting created, and HPE GreenLake's a great spot for folks to help, you know, really take and leverage that data, to make those those decisions that are required. >> You know, one example in terms of case studies, or in terms of your client base that you talk about, you know, the automotive sector. >> Yeah. >> And I think about what's going on in terms of, with that technology, and I can't even imagine the kind of mechanics that are happening, right? In real time, at 60, 70 miles an hour, through all kinds of environmental conditions. So maybe just touch base, too, about what you're doing that's in terms of automotive, and what's going to be- >> No, it's great, John, yeah. >> (indistinct) then? >> Yeah, no, it's an awesome question, because, you know, we're working closely with a lot of the car manufacturers, as well as their sort of subsidiaries, if you will. So you look at autonomous driving, which is a great example. All that data has to come in and get analyzed. And if you look at a company like Volvo, they use a third party called Zenseact, who basically uses our high-performance compute to deliver it as a service through HPE GreenLake. They get all this massive parallel computing, modeling and simulations happening, with all this data coming in. And so what we've done with GreenLake is we give them that ability to easily scale up, to grow capacity, to get access to that hundreds of petabytes of data that you just mentioned. And then, you know, really basically take and make analytics and AI models and machine learning capabilities out of that, in order to really direct and fuel their mission to develop that next-generation software to support that autonomous driving capability. And so you're seeing that with a ton of different car manufacturers, as well as a lot of different other scenarios as well. So you're spot on. Automotive is a key place for that. >> You know, and too, the similarities here, the common thread, I think, threads, actually, plural, are very common. We think about access, right? We think about security, we think about control, we think about data, we think about analytics, so I mean, all these things are factoring in, in this extraordinarily dynamic environment. So is there a batting order, or a pecking order, in terms of addressing those areas of concern, or what kind of, I guess, learning curve have we had on that front? >> Well, I think you're, I think the key is, as I mentioned earlier, so you have this connectivity piece, and you've got to be able to connect and be available as required. That might be through SD-WAN, that might be Wi-Fi, that might be through a network access point, et cetera. But the key is that security piece of it as well. Customers need to know that that data and that edge device is very, very secure. And then you've got to have that connectivity back into your environment. And so what we've learned with HPE GreenLake, which, really what that does, is that brings that cloud experience, that public cloud experience, to customers in their data center, on-premise, in their colo, or at the edge, like we're talking about now, because there's a lot of need to keep that data secure, private, to make sure that it's not out in the public cloud and accessible, or those types of scenarios. So as I think about that piece of it, then it turns into, okay, how do we take all that data and do the analytics and the AI modeling that we talked about before? So it's a really interesting flow that has to happen. But what's happening is, people are really transforming their business, transforming their business models, as we just talked about. Factory of the future, you know, transportation needs. We're seeing it in different environments as well. Automotive, as you mentioned. But it's exciting, it's an exciting time, with all of this opportunity to really change not only how a business can run, but how we as consumers interact and engage with that. >> And then ultimately for the company, the value prop's got to be there. And you've already cited a number of areas. Is there one key metric that you look at, or one key deliverable that you look at here, in terms of what the ultimate value proposition is for a customer? >> You bet. I think the biggest thing is, you know, our customers and their satisfaction. And so, to date, you know, we have well over 60,000 customers on the platform. We have a retention rate of 96%, so a very, very small number that haven't stayed on the platform itself. And that means that they're satisfied. And what we're seeing also is a continued growth in usage for new environments, new workloads, new solutions that a customer is trying to drive as well. And so those are some of the key metrics we look at, with respect to our customer satisfaction, with their retention rate, with their usage capabilities, and then how we're growing that piece. And the interesting thing, John, is what we've learned is that HPE, as a company, traditionally was very hardware focused, it was a hardware vendor, transacting, responding to RFPs for compute, storage, and networking. With GreenLake now moving into the cloud services realm, we're now having conversations with customers as their partner. How do we solve this problem? How do we transform our business? How do we accelerate our growth? And that's been very exciting for us as a company, to really make that significant transformation and shift to being part of our customer's environments in a partnership type way. >> Yeah. And now you're talking about ecosystem, right? And what you're developing, not only in your partners, but also maybe what lessons you're learning in one respect you can apply to others. What's happening in that respect, in terms of the kind of universe that you're developing, and how applicable, maybe, one experience is to another client's needs? >> Yeah, no, it's a great question, because in essence, what happens is, we're sort of the tip of the spear, and we're partnering with customers to really go in deep, and understand how to utilize that. We can take that learning, and then push that out to our ecosystem, so that they can scale and they can work with more customers with respect to that piece of it. The second is, is that we're really driving into these more solution-oriented partners, right? The ISVs, the system integrators, the managed service providers, the colos, and even the hyperscalers, as we've talked about, and why we're here with our friends at AWS, is, customers are requiring a hybrid environment. They want to leverage tools up in the public cloud, but they also want the on-prem capabilities, and they need those to work together. And so this ecosystem becomes very dynamic with respect to, hey, what are we learning, and how do we solve our customer's problems together? I always talk about the ecosystem being 1 + 1 = 3 for our customers. It has to be that way, and frankly, our customers are expecting that. And that's why we're excited to be here today with our, as I said, our friends at AWS. >> And how does open play in all this too, right? Because, I mean, that provides, I assume, the kind of flexibility that people are looking for, you know, they, you know, having that open environment and making an opportunity available to them is a pretty big attractive element. >> It's huge, right? Yeah, as you know, people don't want to get locked in to a single technology. They don't want to get locked in to a single cloud. They don't want to have to, they want to be able to utilize the best of the best. And so maybe there's some tools in the public cloud that can really help from an analytics standpoint, but we can store and we can process it locally in our data center, at the edge, or in a colo. And so that best of both worlds is there, but it has to be an open platform. I have to be able to choose my container, my virtual machine, my AI tools, my, you know, capabilities, my ISV application, so that I have that flexibility. And so it's been fantastic for us to move into this open platform environment, to be able to have customers leverage the best and what's going to work best for them, and then partnering with those folks closely to, again, deliver those solutions that are required. >> You know, this is, I mean, it appears, as I'm hearing you talk about this, in terms of the partnerships you're creating, the ecosystem that you're developing, how that's evolving, lessons that you've learned, the attention you've paid to security and data analytics. I get the feeling that you've got a lot of momentum, right? A lot of things are happening here. You've got big mo on your side right now. (Keith laughs) Would you characterize it that way? >> Yeah, you know, there's a ton of momentum. I think what we're finding is, customers are requiring that cloud experience on-prem. You know, they're getting it from AWS and some of the other hyperscalers, but they want that same capability on-prem. And so what we've seen is just a dramatic increase with respect to usage, customers. We're adding hundreds of customers every quarter. We're growing in the triple digits, three of the last four quarters. And so, yeah, we're seeing tremendous momentum, but as I said, what's been most important is that relationship with the customer. We've really flipped it to becoming that partner with them. And again, bringing that ecosystem to bear, so that we can have the best of all worlds. And it's been fantastic to see, and frankly, the momentum's been tremendous. And we're in a quiet period right now, but you'll see what our earnings are here in the next couple weeks, and we can talk more details on that, but in the past, as we talked about, we've grown, you know, triple digits three of the last four quarters, and, you know, well over $3 billion, well over $8 billion of total contract value that we've implemented to date. And, you know, the momentum is there, but, again, most importantly is, we're solving our customers' problems together, and we're helping them accelerate their business and their transformation. >> I know you mentioned earnings, the report's a few weeks away. I saw your smile, that big old, you know, grin, so I have a feeling the news is pretty good from the HPE GreenLake side. >> It is. We're excited about it. And you know, again, this really is just a testament to the transformation we've made as a company in order to move towards those cloud services. And you know, you'll hear us talk about it as the core of what we're doing as a company, holistically, again, because this is what customers are requiring, this is what our ecosystem is moving towards. And it's been really fun, it's been a great, great ride. >> Excellent. Keith, appreciate the time, and keep up the good work, and I'm going to look for that earnings report here in a few weeks. >> Awesome. Thanks so much, John. Take good care. Appreciate it. >> You bet, you too. Keith White joining us here, talking about HPE GreenLake, and defining what they're doing in terms of bringing the edge back into the primary systems for a lot of companies. So, good work there. We'll continue our coverage here in theCUBE. You're watching theCUBE coverage of AWS re:Invent. And I'm John Walls. (lively music)

>>The cube presents, Dell technologies world brought to you by Dell. >>No, that, that you guys. >>Hey, welcome back. Everyone. Live here on the floor in Las Vegas with Dell tech world 2022 cube coverage. I'm John for, with Dave Volante, Allison Ducey, chief marketing officer executive vice president of Dell technologies. Welcome back to the queue. Thanks for coming back on. Hey Allison. >>Hey. Hi guys. It's so good to see you. I am just so delighted to be on the cube and so delighted to see you both live and in person. >>So three years ago was the last physical event. A lot of virtual, a lot of, probably some scar tissue to share there, but give us the quick highlights here. The, the show format what's new, what's different. >>So I think one of the things I talked to my team about a lot is we've learned so much over the past couple of years. It's really important as we go forward to carry the best of what we've learned over the last two years, combined with the best of in person experiences that I know we all missed. So things that really people wanna do in person training, connection, the birds of the feather sessions and taking the technology and communications skills that we've developed over the last two years and making the event better as well. So, you know, Dave and I were talking about how do you extend the reach of the event beyond just three days? How do you engage with the global audience? Not all of whom are back to traveling all of the time. And so we think the impact of this event is the biggest and best that it's ever been. And it's not about going back to 2019. It's about the best of the last couple of years and the human connection. I think we've all been missing. >>So I remember last time here, here, we, we asked, we're coming up to state with Ashton Kucher and I told you about my man crush. And now you bring a on Matthew, which was an amazing interview. I mean, I don't really, no, I mean, I love his work, but wow. What a thoughtful and intelligent individual, and you obviously did a great job, you know, carrying that interview. So tremendous. I mean, you, you know him, right? He's like in your >>He's, he's an Austin Guy. He's really committed it to Austin. He's really committed to the university of Texas. We've done a number of things with him together. So we do know him and still, that was probably the most in depth conversation that we'd ever had with him. And it was so much >>Fun. Let me wait. So, okay. So I gotta make you laugh. So at the, after you were done, you said, okay, let's open it up for audience questions. Now I was really intimidated even though I to get up in front of the audience and ask questions, but I didn't know what to ask him. And I figured there'd be a long line of people asking the question. >>There was not. >>So I saw that and I'm like, I don't know what to ask 'em. So I texted my wife and my daughter who love 'em. They're like, all right. All right. And so my wife texted me a question, but it was too late. The, the session had ended. So I'm gonna ask you her question and ask you what, how you think he would've responded and we can >>Refine it. Okay. I'll give it a whirl. Your >>Question was, he's a big proponent of showing up. Okay. I didn't know this. You could ask him about if the definition for him of showing up has changed over time and how does he stay motivated to always show up? And I was like, wow, what a great question. >>That is a great question. And I will tell you as the interviewer, I think lots of people were sort of intimidated. One, one woman even said, this is making me nervous, but here's my question. So as the interviewer, I was looking out at the sea of nobody asking questions, doing scrambling in my head, trying to come up with some more questions, cuz I had already asked all my questions. So I wish you'd been able to get to the stage, uh, get to the mic and ask that question. But here's what I think he would've said. Who knows? Maybe he'll send me a note if I get it wrong. I think he would've said something along the lines of, it's always about being intentional about what's happening in your life at that moment. <affirmative> and so, as he thought about some there's an example he uses in his book. >>I don't remember the name of the movie where he kind of very early in his career where he kind of just winged it and he got to the set and he realized because he was, he thought he was getting over rehearsed. And so he thought I need to go back to the natural moment. And he realized the script was in Spanish and he said, I need six minutes. How is he gonna memorize script in six minutes in Spanish? And I think that was just an interesting example of when he realized that there's a synchronicity between being your natural self and being intentional and being really thoughtful about where you are and what you're doing at that moment. So I think that that intentionality spans his career. It's the moment of interest inspection about where you are in your life and doing brave things like leaving behind a safe, but no longer fulfilling romantic comedy career. So that's what I think he would've said. And >>Bringing that to the moment is where he gets his inspiration. >>I think so. Yeah. >>Yeah. So he's very impressive guy. I didn't read the book yet. It's green light is >>Green lights. Green lights >>Is able the book. So >>I recommend it and I didn't listen to it. I read it. I'm a reader, but I've had many, many, many people tell me that they listen to it. He narrates the book himself. So I think there's some benefit there because you get it truly in his voice. >>Yeah. That's always fun. Yeah. >>Speaking of in the moment, this event has got two things going on in the format you mentioned, but also the content. It is right on point. And a lot of the execs came in Michael and the COOs were both on the cube, interesting poll position you guys have for this. Now you got the marketing angle going on here. How do you throttle this next? What's next? How does it evolve? You got the content, you got the new format, Dell tech world plus digital now combined. What's next? >>I think, I mean, so obviously we are clearly in an inflection point in the technology industry and we've talked a lot about separating the hype from the reality of the day to day of what our customers are doing in their businesses and the problems they're trying to solve. But if you look at what makes us really, uh, I think special and unique is if the, the last number of years we've continued to show up and deliver for our customer tumors, we were there with them over the course of the pandemic. We helped them get their remote workforce up and running and now we're helping them lean into their data center challenges. And I think, for example, the snowflake announcement from earlier this week, this ability to have the best of both worlds and to have your data on premises whilst also benefiting from Snowflake's capabilities. I think that's just a good example of the kind of thing you'll see us do more of, and this intentionality that we're trying to bring to an incredibly complex and fragmented world. So that's what we're doing from a business. And then from a marketing perspective, I think it's just about this stretchy steady drumbeat. It's no longer one moment in time. It is all the moments in time while it's also keeping people's attention. Yeah. Not boring them to death with four hour keynotes. It's >>It's interesting. You know, we, we've been watching you guys for a long time, as you know, and it's interesting. You have such a big story. Now you have the story at the industry positioning of where it is for growth. You also got product innovation, right? Balancing the, the product innovation, which is still evolving. You got edges exploding, the snowflake deal with the new product use cases. There's still the need for the, the nerds, right. So to speak. And then you got the industry leadership, which is happening. So you've got balancing that. How do you thread that needle? How do you tie it all together? How what's, how do you think about that? What's your thought >>Of the things I think is at its simplest. It's not just about what we do. It's also about who we are as a company and you have to do both, right. We have to talk about where we're innovating in our products and our solutions. And it's also really important for us to tell the world who we are and how we show up in the world. And if you think about it, another one of the announcements from this week that I'm really proud of are our solar hubs. And that's a build off of the, uh, solar learning labs working with 25 communities around the world, underserved in terms of access to technology. And so it's, you have to do both sometimes I think in the past we've been just talking about our products cuz we're engineers at heart. And we're proud of that and not talking enough about who we are. I think some companies talk too much about who they are and you're like, well, what do you do exactly? So, you know, the question always is how do you do that? And so there's a believability gap. What we're always striving for is that combination of what we do, who we are. >>So you know, that what we do is really important and there's obviously a lot of very difficult and contentious social issues. Yes. And, and kind of a of follow up there is, is, you know, what's your philosophy on how to handle those? It's presumably what you do, not what you, you say. I mean, you gotta say things as well, and they're gonna be more, you know, we're hearing about it, reading about it, others that are gonna be down the road, how what's your philosophy on how to handle those? >>The first thing is we try to be really thoughtful about what conversations or actually relevant to us. One of the things I watch many companies do is comment on anything, anything, and everything. They sort of run into the fray of the moment and they over comment. And frankly, then I think they don't stand for anything because they're constantly chasing a press cycle, which is pretty vicious and pretty short lived. So we don't think that that serves us. What we do is we look at almost every issue you can imagine. And ahead of time, ahead of time, have the conversation about where are we going to engage? What are the issues that we stand for? And we've got much more intentional, even on our ESG and CSR front, around taking our moonshot goals and making them more practical so that we can be really thoughtful and intentional. Because as you know, at the moment of time, when a crisis hits you, haven't done that work ahead of time. You're probably responding. And you can see that sometimes without naming any names, because everybody knows some of these players are without my even having to say it, someone responding or flip flopping it's cuz they haven't thought about it ahead of time. >>Yeah. And a lot of that comes from the top and the CEO won't stop on Twitter. But so that to me ties in. Yeah. So it ties into the concept of trust. Going back to some of the keynote messages that we heard from Michael you've earned trust in a lot of ways you were there during the pandemic, you know, your products work, et cetera, et cetera, but the way in which you act builds trust doesn't it. And that we've in, I think came across in, in the keynotes. Why such a big theme on trust? I mean you see apple with privacy, doing certain things really doubling down on trust. Can you talk about that? >>I mean, I think it's because it is core to who we are and if you look at the hype cycle around technology, the hype cycle, around companies who can have kind of a moment in the sun and then you find out actually that their business practices weren't very good or they weren't really delivering on the innovation that they were claiming. So they were probably overclaiming at times it has always been core to who we are. What I think we're doing now is just being much more intentional about how important it is to show up that way. That's why I come back to, it's not just what we do, it's who we are and that's why customers choose us. And you hear some of the customer case studies like U S a a like CVS that we use a lot at the moment in time where they needed help managing through the pandemic. We delivered with a consistency that not everybody could provide. And I think provides us the room and the space to really lean into this trust conversation. I >>Love, I love the high level flag. You guys are flying at ESG stores. You're getting in immersed in issues that you're solving for yourselves. So you can understand them and have good positions, but also on digital. Now you have other ways to drive the business. We just started a discord server week before for Dell tech world and already got 8,000 members. And the only thing they really care about about Dell tech world here is what's the monitors, where's the speeds and speeds. Right? They want the speeds and these they're gamers, right? So there's omnichannels everywhere. Right? You have, that's hard, right? So is it a top down? Let, let things fly. Is there intentionality around execution to drive business value? >>I think that, I mean, one of the things that I would say for the company and for its leadership for me personally, is we're generally pretty intentional about most things that we do. I always have an expression that I, I, I don't like to reward a Smith fireman. If the building is on fire, I'm gonna ask you, why is the building on fire? Not, you know, I'll say, are you okay? But then I'll say, why is the building on fire? So the reason I use that analogy is we are pretty intentional about most things that we do. And then you also have to re leave room for innovation because it is a completely different product experience to build an alien where than it is to build server. And yet there's certain standards around how we think about our commitment to environmental goals and sustainability that's consistent. Yeah. So that's the balance that we're always looking for, >>You know, in the isolation economy, we, we learned that we didn't know what was coming next. Yeah. And now in the post isolation economy, we, we learned, you referenced this. We're not going back to 29 team, a rinse and repeat of of 2019 is not gonna work. So I know it's early. You haven't really had much time to think about it, but what have you learned from this event? We were surprised by how many people showed up. What else? >>I was a little surprised by how many people showed up in the fi. And we got a lot of people show up in the final register in the final week or so. I mean, one of the things I think we knew this, but I think we had to learn it a little bit. The hard way. Yeah. Was maybe you don't need four days of two hour keynotes, you know, maybe, maybe people can't absorb that much information. And so I think we've gotten a lot tighter on our messaging and delivering of the keynotes and then allowing people, the space to engage in other that are really important to them, like their own training. They, a lot of people come to this, this event for their own professional development. We should be proud of that and celebrate it. And one of the expressions I use a lot is let's get our inner geek back and provide people the opportunity to do that. And even with our own employees, one of the things that we've seen is just how happy they are to see each our, so leave space for that. >>The face to face matters. It's really valuable in some say, it's the scarce resource now. Yeah. And the digitals augmentation, what have you learned as the standards are, ER, there's no standards they're emerging in real time. What what's popping out as go to, that's gonna evolve as de facto standard digital event kind of hybrid. I >>Think I, I think the short and easy answer is that hybrid Brit evolves as the standard. I don't think anybody sort of like the cloud. Um, I don't think anybody is questioning that you can have the best of both. I think, um, you know, if I taking it out of the realm of events, we are very committed to a hybrid work environment. Just as an example. And this conversation about many companies say you can have flexibility as long as you're here on Tuesday. Well, that's not actually flexibility. That's just pretend flexibility. And so being intentional about, you know, you obviously have to have the conversation with your leader, but we, we are saying, figure out what works for you and work that way. And the reason I went, I took it from events to that example is because that's just one of the many examples of how we're all trying to figure it out. And it's intentionality, it's honesty, it's trust, you know, maybe your job is something that needs to be in person. Great. Then go do it in person. Maybe it's not then don't but have the conversation. So that's, that's how the conversation is sort of >>Maybe it event native, which is the old model. Yeah. Yeah. Hybrid events is there multi-event Daves club super event, >>Multi, multi hybrid events. >><laugh> >>And there actually we do take this show on the road with the Dell tech forum. So it is multi hybrid event. >>By the way you mentioned the team, how excited the team was. I thought it was a great touch at the end of the, of day one keynote to bring all the team members out. That was a really powerful moment, >>You know, to be honest, I loved it when I saw it on paper, I thought this could either be great or so cheesy. I'll be like climbing under my tour and I loved it. And, but even that was a risk where I thought that's fine. Try it. And if it, if it doesn't work, like it's fine, >>Go bigger, go home if they >>Exactly. So I think you see us trying to lean into those moments a little bit more and be willing to take that risk and see what happens. >>Allison always great to have you on the cube. I love your insight. Love your perspective. Final question for you. What are you into these days? What are you watching personally in the industry or in, in your life as we evolve into this next chapter of the generational of the cultural shift? >>I mean the biggest thing that I'm really thinking about is this question of hybrid work and what does it mean to build connection with our employees, with our customers, with our partners, with our broader ecosystem, whilst also having the freedom and flexibility that the last two years have brought us. I mean, I think you guys know, I, I have an odd personal life. I kind little bit of a digital Noma myself and you know, I, in a let's >>Extend the segment, let's >>Go down and in years for past I would not, um, have been able to maintain my life and my job. And that's the power of technology. You just have to look for the downside, which is maybe people need more connection too. So that's an unanswered question. >>Yeah. I knew fabrics are more urging my minds. Very clear. Yeah. Allison, great to have you on again. Pleasure having, Thanks for having us here in the queue. We really >>Appreciate it. We always love having you at Dell tech world. And it's great to see you personally. Thanks >>Executive vice president CMO Dell technologies here in the queue. I'm John for Dave LAN. We'll be right back with more after this break.

>>Hello, and welcome to the cubes. Continuous coverage of AWS reinvent 2021. I'm Dave Nicholson, and we're running an incredible event this year. One of the most important technology events. It's a hybrid event with two live stages. Two sets here in Las Vegas. Two studios we've interviewed more than a hundred guests and two distinguished guests that I have here from emphasis today have joined us. Thank you very much. Uh, Mr., who's the executive vice president of Infosys cobalt. And we'll talk about what that is exactly in a moment along with David Wilson, Wilson, I'm sorry, senior vice president and head of global alliances in the partner ecosystem for Infosys gentlemen. Welcome. Thank you. Thank you very much. So let's cut right to the chase cobalt. And when you tell your family that you're executive vice-president of cobalt, do they just smile and immediately nod? Like they know what it is? Absolutely. >>In fact, uh, in fact it is so exciting for us, uh, what we did at Infosys, just to define cobalt in one sentence, it is a set of services, solutions, and products that we are bringing together to solve, you know, accelerate our customer's journey or what we call as the customer's digital journey. So in slough, everybody talking about Kala cloud in a different way, with different narratives, different value proposition we had in forces. And by the way, we were the first ones in the world to combine all of this and the one brand called cobalt. So that's essentially what cobalt is. So anything and everything that we do in cloud, it's all under this brand called cobalt and that's Infosys cobalt. >>So does, does Infosys cobalt include a combination of bespoke solutions, cheering for people as well as packaged standardized things? How do you, how do you strike a balance because you can't have a one size fits all? Uh, what does that look like? How do you segregate those? >>Yes. Great question. So, so essentially what you are done with a cobalt is a delicate cobalt. In two ways. One is there are customers who want a solutions to solve technology problems. It could be getting out of data centers, it could be migrating workloads to cloud. It could be analytics on cloud ERP on cloud daddy's mainframe modernization, and, you know, getting off mainframes. And at the same time, there are industry verticals like financial services, retail manufacturing, and of course, life sciences, and many more who want to understand what are the business solutions and what are the solutions that we have for solving their business problems. So essentially cobalt is a bespoke solutions. It has products, it has platforms, and we have brought all of this together and we take it to our customers. So essentially these are industry blueprints. These are reference architectures. So we have 250 industry blueprints and around 25,000, that's it that we can actually take to our customers to help their digital journey. >>So, David, I imagine that key to the success of cobalt is, uh, uh, the idea of partnerships, talk about the alliances, uh, uh, that, uh, that you're involved with specifically the way that cobalt interacts with the AWS yes. >>Universe. Absolutely. So the, you know, as we designed our cobalt strategy, the partners are a major component of this. They contribute to it. They're part of the design. And ultimately when we go to the clients with these solutions, these assets, uh, our partners, components are baked right into the solution. In the case of AWS, we've been so successful with it that we recognize this week, uh, as their industry solutions partner of the year. Congratulations. Yeah. So I was joking. We should bring our trophy and put it in between, but we emphasis is invested heavily in developing the, the partner ecosystem, you know, gone are the days where our clients are, uh, putting out an RFP and purchasing individual piece parts, and then, you know, searching at NSI. They're looking for a business outcomes and, uh, uh, emphasis along with our cobalt strategy is able to work with partners like AWS and go there and sell an outcome and accelerate the whole. >>Well, you mentioned RFPs. Uh, what is your, uh, what is your go-to market strategy look like in terms of engaging with those end user clients? Um, is it in partnership with AWS? Is it led by Infosys bringing in AWS where appropriate some mix of the two? What does that look like in this world of cooperation and petition that we're in, >>It's actually a mix of two. So essentially the way we go to market is that there are solutions that Infosys has built on AWS that we will take to our customers. There are solutions that you have built, which are cloud neutral, and those are some things that we take to the customers. And the third one, which is very important is co-creating solutions for our customers along with AWS. So our go to market is a combination of all of them, and that's what makes it exciting. >>So a non-test running cobalt, you're, you're responsible for alliances. You guys are probably in contact a lot with one another. All of these crazy new things are announced at AWS. I'm sure you get a little bit of a preview of it. It's not a complete, it's not a complete surprise when you arrive, but you've gotta be screaming for teams and solutions to leverage some of the coolest stuff within cobalt. How does that, how does that conversation go? >>Yeah, so David David and I work very closely, right? In fact, uh, uh, the way, the way we do things is our go to market cannot be complete without partners. So similarly my strategy and our strategy and global cannot be complete without David. So we actually worked together to identify, in fact, we have been visiting a lot of boots. We got to create, we've gone to a lot of great ideas. We want to see how we can bring them into the cobalt framework and bundle some of that as part of our solutions. So we keep looking at those, we'll look at the announcements that were made and we'll solve, you know, identify many more sales motions that we can take to the, >>So David talk about some of the things you've seen here at re-invent this week that are specifically relevant for cobalt and emphasis customer. >>Well, what's some of the most exciting discussions we've been having is with, uh, not only, uh, AWS themselves about the, the announcements and the way in which we can leverage them, leverage them and go to market. But, uh, AWS has built out their own partner ecosystem, uh, that we then interact with. So we've had some exciting conversations with AWS's ISV partners, their, uh, their other solution providers about how we can bring this together and go to market together. You know, when, when an example, we had a lot of discussions this week was about, uh, how we're doing it, right? The mainframe services, uh, that were announced and how we can support them in building out our industry specific assets. So, you know, taking a kernel of what AWS provides and then wrapping our secret sauce around it, in partnership with other companies and then take into our clients, you know, that's what we're, I, it, the good part is we can quickly go from a discussion to a, go to market, a dialogue with our direct clients who are also here, which have been in real-time having those discussions. >>So emphasis a non has been a trusted advisor for clients predating the Dawn of cloud, if you will. Uh, and I'm sure that certain slices of your revenue don't wanna make this too uncomfortable. A question certain slices of your revenue are still dependent upon all of that. 80% of it. That's still on prem. How do you manage that? You're, you're laser focused on cobalt and you've got alliances. Um, everybody's looking towards the cloud. How do you balance that with the very real needs of Infosys as a business? Aren't you in the same boat as your customers, in terms of transformation? >>Well, you know, I, I would, I'm sorry, >>My eyes go back and forth. See, I told you it was gonna be easy for us to have a conversation. Yeah. Jump into >>W when you, when you look at the different partners out there, we have a discussion about being asset heavy asset light emphasis. Um, we, we grew up through application management, uh, and now as we're seeing these transformations go forward, the last thing we wanted to be is a server huggers. Uh, we're ready to accelerate these transformations as fast as possible. And, uh, you know, partners like AWS are recognizing that, uh, a non steam can go in there and be the disruptor to actually accelerate those transformation. >>Absolutely. In fact, involved when we spoke to some of the AWS executives, uh, we want to be the challenger, right? Because we don't carry any baggage. Uh, we clearly believe, as Gartner says that a cloud is going to be the, for business innovation, and we want to drive innovation and transformation for our customers. So essentially we want to make this relationship with AWS much bigger and better. We want to be the partners with our clients to drive business innovation with industry segments, industry clouds, solutions that drive opening, new markets, building better products and solutions, helping get better customer intimacy and those kinds of things. And so that's essentially what our thought processes with, uh, what we want to do. >>It's been mentioned a few times here that, uh, somewhere around 80 to 85% of it spend is still on premises. It's not in the cloud yet. So despite how large, we all think the AWS AWS universe has become so far, we're really just at the beginning stages. But what are you seeing in terms of clients hesitancy towards cloud at this point, has that changed over the last couple of years? Uh, what are the inhibiting factors that you see? What are the accelerants that you see at this stage of the game? >>Well, in fact, in fact, COVID unfortunately Colbert, uh, while it was all a very bad thing, but it actually helped accelerate customer's journey to cloud. Uh, in fact, uh, the, we have several customers who used to say that, you know, everybody has to come to office to work. Nobody can work remotely because there are security constraints that is, there will be impacted the security posture, but to when we hit March, 2020, and everybody had to work remote, it's the same set of customers who decided to go to cloud and started limited him to part of cloud. So I would say COVID in short has accelerated customers knowledge about cloud. They are no longer worried about security. They're no longer worried about, uh, latency and bandwidth. I think I don't see any major hesitancy at this point of time. Uh, but the trend that we're seeing towards cloud is cloud is going to be used more for innovation. And it's not just going to be about, take my data center and moving to cloud, right? So it's not going to be just those tactical reasons. Uh, and that's exactly what we did. We actually came out with a report, which says, moving from cloud chaos to cloud clarity, and it talks about all these facets of what are those strengths that customer should look for. So that's essentially what we use. >>So I imagine cobalt one of the kind of main ideas behind it is to remove friction associated with that move to cloud, to the extent that you can not be reinventing the wheel every single time you're engaging a customer. Is that, is that a fair statement? >>In fact, you know, many customers of ours, in fact, almost all of them are saying, we do not want to reinvent the wheel. So how can you help us? So what we have done as part of cobalt is to bring these reference architectures, right? So for example, if a financial services customer wants to fight fraud, fraud analytics is a reference architecture that we have. Uh, if the telco customer wants to implement 5g, we have a framework and a reference architecture for OSS BSS on cloud. Uh, if there is licenses customer who wants to basically look at drug discovery, we have an architecture for that. So we want to make it more and more in a inference architecture based without reinventing the wheel and bring the best practices from other customers to drive those scenarios. So that's essentially what we do. >>So cobalt underway, you've been recognized for a performance to this point. It's a lot of pressure for 2022. So what are you going to, what do you, what, what, what are you going to slap on the desk in 2022? When we get back together, >>We do plan to up bookends by this time next year, to, to able to pre >>It is perfectly acceptable by the way, to share both the 20, 21 and 2022 award on stage, because we have to make up for 2019 when we weren't here physically. >>But to build off of, with a, knotless saying about the, uh, you know, what's going on in the last 18 to 24 months, you know, we're seeing clients now that we have one that, uh, came to us with a 114 list of products that they bought from various partners, either directly through distributors and such and saying, listen, we no longer want to be in the procurement function. You know, we want to take these hundred and 14 products. We recognize we're going to get it down to 30 or 40 of the key ones, obviously a shifting a lot of that to cloud. And we were able to leverage emphasis cobalt to actually accelerate that and incorporate our partner components to help that shift. So I think next year, I think that will be a major theme that you're seeing clients recognize that the, the way in which they procure and they develop their it platform will be much different. And emphasis with the design we put in place will be in a key position to, to support them at that. Well, >>We recorded this. I'm not sure if you realized we were actually recording this, so we're going to go, we can go back and review this tape next year and we'll see. And I hope to see you then, David, thank you so much for joining us here at the cube and for the cube here in our continuous coverage at AWS reinvent 2021 live in Las Vegas. I'm Dave Nicholson saying stay tuned because there's always more on the cube. And I'd like to remind you that we are your leader in hybrid tech event coverage.

(upbeat music) >> Welcome back to re:Invent 2021. You're watching theCUBE. My name is Dave Vellante. We're really excited to have Anthony Lye here. He's the Executive Vice President and General Manager of Public Cloud at NetApp. And Jonsi Stefansson as the CTO and VP of cloud at NetApp. Guys, good to see you. >> Same to you. >> Likewise. >> It's great to be back. >> You know, Anthony. Well so, we saw each other virtually at the AWS Storage Day, the big announcement, we're going to talk about that. But I go back and I said this to you several years ago, we were sitting, you know, some after party and you said "We are going to transform NetApp. We are going all in on cloud." We've seen NetApp transform many, many times. This is probably the biggest in history. >> No, I think you're absolutely right. I think, you know, I can't believe it, but you know, it will be five years for me in February. And in those five years, I think we really have done things that nobody expected. And I think we've proven to our existing customers, to our competitors, and now with Amazon, to a whole new set of customers that our intellectual property that we build and the acquisitions that we've done have made a lot of sense. I think we've demonstrated this wonderful concept of symmetry. Customers now understand and believe that a dollar invested in an App, wherever it is on premise or in the cloud is a dollar that moves wherever they want it to move and progresses as their own businesses progress. >> So Jonsi, for the latest announcement that you guys made to integrate ONTAP into the AWS cloud, you had to do some deeper integration, right? It wasn't just wrap your stack and Kubernetes and shove it into the cloud. But can you just talk about what you had to do? What the collaboration was like? >> The collaboration with AWS has been fantastic. It literally took two and a half years, you know, from the point where we decided to agree on the design principles, how we were actually going to deliver this as a service, the integration into every single aspect of AWS, you know, whether it's the console, the FSx, API, the integrations, to all the additional services that AWS has, like RDS, like Aurora, like the SageMaker, like EKS and ECS. And I mean, we are just getting started with the integration points and the collaboration and the teamwork. I would call it teamwork more than a collaboration. The teamwork with all these teams and maybe especially at name who was the leader of the storage sort of a unit in AWS has been fantastic. >> Dave: Yeah. Well so, this is the 10th re:Invent. This is the 9th year we've been here. We've seen a dramatically different cloud than 10 years ago, 15 years ago, and a different storage business. I'm not even sure. I mean, I don't know. I didn't even think about it as the old storage business anymore. Essentially, you're building a cloud on top of clouds. A super cloud if you will. >> Anthony: Yeah, I mean. I think, look, the strategy was, as I said, very, very simple to us, which was, you know, fundamentally companies, you know, run their applications on the basic primitives of compute storage and networking. And the gold standard for file was always ONTAP. And I think what we did, which I think was unique was we didn't just, as you said, throw it onto a cloud, stick it in a virtual machine and tell you, the customer "There. It's ONTAP just as you remember it." We reimagined it. And we architected it to be a cloud service. So it's elastic, it goes up and down. You can change the performance at runtime. And what we really did with Amazon was we wanted to make it a fully managed service. We didn't want people to think about versioning and patching. We wanted to remove all of that and we wanted people to take as much or as little as they needed. And we, and Amazon, we chose that we should own the responsibility for the availability of the service. And we should maintain the service ourselves so that customers of ONTAP can benefit from the solution. But in many ways, customers who've never been ONTAP customers can now take advantage of an enterprise grade file system and all the great things that it does without having to understand how it works. >> And explain why that's important for customers because people, they go, "Wow, you got S3." but it's very simple. Get, put, right? You don't have the full stack of a mature ONTAP. Please explain what that means to customers a little bit. >> You know, file systems are very important things. You know, we basically use them in our work environments every single day, you know. Within your sort of, you know, your Mac book, you have a home directory and sub-directories and files, very elegantly layout applications and layout infrastructures in ways that object repositories cannot. You know, aside from block and file. Sorry, from file and object, you of course, have block storage. And so, file plays a very important role. IDC has file growing at almost twice the pace of object now on the public cloud systems and, you know, file has about 13% of the overall storage market and it's growing. And I don't see any reason why file won't be as big on the Amazon cloud as the S3 has been. >> Dave: So you guys, go ahead, please. >> Yeah. I mean, you also have to take into account that the S3 object storage offerings of AWS is an integrated PaaS in our solution. So that's how we are actually doing automatic tiering. So you actually reap the best of both worlds, where you get the cost management of putting it in object storage, but you get the performance and the data management capabilities that is pretty unprecedented. You know, we are the first store that's offering that can actually do cross-region replication seamlessly by retaining deduplication and compression. But we also play a lot with, you know, block and object storage. So when Anthony was talking about how we've actually delivered this as a service, and this is sort of from our design principles, we are basically delivering this as a software, as a service, because more than an infrastructure as a service, because the stock that we are actually deploying, or the secret sauce of ONTAP, it's a very vast software stack that we are delivering, on top of AWS infrastructure. So I would always call it or categorize it a little bit more than software as a service, rather than infrastructure as a service. >> But it's even more than that, if I'm right, because it's cloud pricing, right? >> Jonsi: Yes. >> So it's not, you're not preying. I mean, when I buy Salesforce, I got to sign up for three-year deal. That's not a consumption-based model. >> Yeah. >> Oh, I think Amazon, you know what Amazon did uniquely and brilliantly was, it retailed technology and it's what makes Amazon so good, is that they choose to sort of simplify things. And when they find benefits as a retailer, they pass them on to the customer and, you know, there's this sort of pay-as-you-go business model, it's really good for the customer. It makes us work harder because, you know, you have to retain your customer sort of every 10 minutes. And that's something that, you know, as you said, with enterprise software and even some of the early SaaS vendors, that's not how it works. And so Amazon has forced us all to be very, very attentive to our customers. >> Dave: And I'd love to talk about what that means for the on-prem business, but if we have time. But you guys won Design Partner of the Year, what's that all about? First of all, congratulations. >> Anthony: Thank you. There's a lot of ISV design partners. You guys came out number one so congratulations on that. What's that all about? Explain what that entailed and how you got that. >> Yeah, I'll say a few words. Maybe Jonsi can add. I mean, the first thing of course is, you know, I S V stands for Independent Software Vendor. So, you know, it's always great because most people would say, "Well, NetApp is on-premise storage hardware." >> Dave: Of course, yeah. >> Which really, we've not really ever been an increasingly with demonstrating that we are a software company and we operate at cloud speed. You know, I can't really take the credit. I would give it to Jonsi and the engineering team. Maybe Jonsi, you can explain, you know, what moral about the award and why I think we were selected. >> So, I mean, I think it says a lot that this is the first time AWS has ever allowed a third party company to be this integrated into their console, into a support ability systems. You know, we make fun of this, me and Anthony all the time, because when we started this, down this path, everybody at NetApp said, "Guys, you're wasting your time." This is why AWS has the marketplace, but we didn't want to go. We already had the marketplace and we wanted to be able to connect to all these associated services and do it in the manner that, you know, this was a true collaboration of engineering teams for a long time to actually deliver the service on both sides so the credit, of course, will always go to the engineers on both sides, even though I designed it, I didn't code it. So, I think that, that alone, being the first to do it in AWS ever. I think we deserve that award. >> So just for our audience, to be clear, we're talking about FSx, ONTAP in the cloud, in the AWS cloud and kind of dance around that. But so that was announced, I guess, in September? >> Anthony: Yes. >> Right? >> Anthony: September, 2nd. >> What's the uptake been like? What's the reaction? >> Unbelievable. >> I'll bet. (laughing) >> No, no, I mean. >> No, I believe it. >> Better than we ever dreamed of. >> Yeah. >> The number of customers, I'm sure I'm not allowed to say the number of customers, but we asked and the fact that, you know, 60% of those customers have never been NetApp customers before, but they see the value in the data management capabilities that we are bringing to the market. >> Dave: So it exceeded expectations and your expectations were probably pretty enthusiastic. >> They were high. >> Yeah. >> I mean, Amazon is on the record. I was with Ed earlier on today, recording a piece and Ed, you know, was very clear that it's one of the fastest growing services now on AWS. You know, it turns out that, you know, the customer base, I think recognizes the, not just the need for a file system, but the uniqueness and capabilities that ONTAP provides, you know, to those customers in how they manage their business and transformations. And so, you know, to be sort of behind the console, to be sort of behind the Amazon CLI and the Amazon API, you see the world very, very differently, you know. I think the Amazon marketplace is a fantastic capability, but I'll tell you, you know, being a core part of the AWS service itself that they sell, that they support, that they bill for. It's a nice place to be. >> So, SaaS company. You're talking to the language of application development, Kubernetes, right? What do you think this means for the future of NetApp specifically, but also generally the on-prem storage business and the storage business in general? >> Well, we just announced our second quarter earnings today and what's happening is our cloud business is growing like crazy. We generated $388 million of ARR and the growth rates are, you know, astronomically high. That is increasingly helping our on-premise business to grow. You know, the nice thing about being in primarily, in the storage and data business is people aren't deleting many things. And the rate at which they're generating information is just accelerating. So, actually the confidence that we give the customer by demonstrating a sort of a cloud first, a sort of principles of all the cloud is actually giving customers to buy more on premise. So, we really don't mind. We are, our job much like Amazon's, is to have this customer obsession and you can't really go wrong, if you just keep asking them what they want. >> Yeah, if you can do so profitably, you're going to be reinvest in your business. Guys, we've got to go. >> Yeah. >> Love to have you back. >> Thank you. >> And you been quite a transformation. You said you're going to do it. You're doing it. So, well done to you. Five years in the making. Okay. This is Dave Vellante for theCUBE, the leader in high-tech coverage. Keep it right there. We'll be right back from AWS re:Invent 21. (upbeat music)

>>Okay, welcome back everyone. To the cubes coverage of ADB has re-invent 2021. I'm John fare with Dave Nicholson. My cohost we're here exploring all the future innovations. We've got a great guest we'll lead negam who's the EVP executive vice president chief research innovation officer cap, Gemini engineering will lead. Thanks for coming on the cube. Thank you. So I love the title, chief research, innovation engineering officer. >>I didn't make it up. They did. >>You got to love the cloud evolution right now because just more and more infrastructure as codes happening. You got this whole data abstraction layer developing where people are starting to see. Okay. I can have horizontally scalable governed data in a data lake. That's smart, someone intelligent and use machine learning. It seems to be the big trend here from AWS. More serverless, more goodness. So engineering kind of on the front lines here kind of making it happen. >>Yeah. So, uh, the question that our clients are asking us is how do these data center technologies moving over into cars, planes, trains, construction, equipment, industrial, right? And you know, maybe two decades ago it was called IOT. Uh, but we're not talking about just sensors, vertical lift aircraft, uh, software-defined cars, um, manufacturing facilities as a whole, you know, how are these data center technologies going to impact these companies? And it's not a architectural shift for say the Evie, the electric vehicle, many OEM, it's a financial transformation, right? Because if they can make their vehicle containerized, uh, if they can monitor the cars, behaviors, they can offer new types of experiences for their clients. So the questions we were asking ourselves is how do you get the cloud into the car? >>Yeah. And software driving, all that. So you've got software defined everything. Now you've got data-driven pun intended with the cars cloud everywhere. How does that look? What are the concerns, obviously, latency moving data around. They got outposts. Am I moving the cloud to the edge? How are you guys thinking? How are customers thinking through the architectural, I guess foundational playbook? Is there one? Yeah. >>I, you know, coming into this, I did ask my, my son, the question is hardware or software more important. And then he, you know, he's not, and he said, you know, we're coding our way out of hardware. It was very interesting insight software rules. That that is for sure. But when we're talking about physical products and these talking about trillions of dollars of investments going into green energy, uh, into autonomous driving into green aviation. So we're not, it's not just the matter of verse here. We're dealing real physical products. I think though the point for us as engineers or as an engineering businesses, how do you co-design hardware and software together? What are the questions you to ask about that machine learning model being moved over from AWS? For example, into the car, is the Silicon going to be able to support the inferencing rates that are required right. In real time and whatnot. So some of the things like that, >>Well, that's been a, it's been an age old battle between the idea that, uh, the flour that's nurtured in a walled garden is always going to be more beautiful than the one that grows out in the meadow. In other words, announcement, uh, at, in Adam's keynote, talking about advances in AWS Silicon. So what's your view on how important that is? You just sort of alluded to it as being important, the co-development of hardware and software together. >>Yeah. We're seeing product makers again, think, you know, anybody from a life sciences company building a digital therapeutics product, maybe a blood glucose monitor or, um, an automotive or even an aerospace, uh, going direct to Silicon asking questions around the performance of the Silicon and designing their experience around that. Right. So, uh, if they need a low latency, low power efficiency, green networks, they're taking those questions in-house or asking those questions in house. So, you know, AWS having a, sort of a portfolio of custom or bespoke Silicon now as part of the architectural discussion. Right? And so I look around here, I see a lot of developers who are going to have to get a little bit more versed in some of these questions around, you know, should I use an arm based chip? You know, do I use this Silicon partner? You know, what happens when I move it into the vehicle? And then I have over the air updates, how do I protect that code in an enclave in the car just to continue to use the so there's are a lot of architectural questions that I don't think software engineers typically ask when they're just dealing in the cloud. Uh, although at the end of the day over time, a lot of these will be abstracted from the developer to some degree, you know, that is just the nature of the game. >>It reminds me of the operating system theory of system software meeting hardware. And because you have software developers just want to code now, you're saying, well, now I'm responsible hardware. Well, not if it's programmer, was there a hard top two it's over, these are big questions and important ones I think is we're in a major inflection point, but it comes back down to, you mentioned aerospace space is the same problem. You can't send that break, fix engineer in space. Right. You've got software now. So you've got trust that security supply chain who's right. And who's doing the hardware now you've got the software supply chain. So a lot of interesting kind of, yeah. >>So you, you, you know, you check them off, back in into it, the supply chain problems with Silicon, and there are now alternatives to try and get around the bottlenecks using high-performance computers versus hundreds of ECS and a vehicle allows you kind of get away from the supply chain shortage. Uh there's you know, folks moving from one architecture to another, to avoid kind of getting locked in and then of course creating your own Silicon, or at least having more ownership over the Silicon. I think suffer defined systems, uh, are the way to go regardless of the industry. Uh, so you're going to make some decisions on performance, characteristics of the hardware, but ultimately you want a software defined system, so you can update it regularly. >>I was talking with doc some of the top hair executives. I talked to, um, the marketplace guys here, Deepak, uh, over at the, here at Amazon and containers comes up. You start to see a trend in containers where you see certified containers because containers are everywhere. You can put malware and containers. So, you know, think about like just hacking software. It's a surface area now. So you bring the software security model in there. So to see this kind of like certified containers, I can imagine certified infrastructure now because I mean, what's a processor, it's just a hardened top to a PC. Now you've got the cloud. If I have hardware, how do I know it's workable? How do I trust it? You know, how could it not be hacked? I don't want my car to be hacked and driven off the road. >>So, so, um, when you're dealing with a payment system or you're dealing with tick-tock different than when you're dealing with a car with life consequences. So we are very active in the software defined transformation of automotive. And it's easy to say, I'm just going to load it up with all this data center technology, but there's safety criticality issues that you have to take into considerations, but containers are well suited for that. Just requires some thought. I mean, my excitement, enthusiasm about this product engineering is if you just take any of these products and, and apply them into a product engineering context, there's so much invention and creativity can happen. Uh, but on the safety side, we're working through security enclaves using containers and hardware based roots of trust. So there's ways around, you know, malware and bad actors at the edge. Um, >>What's your, what's your take on explainable AI? Why got you might as well ask because this comes up a lot, explainable AI is hot in college right now, AI, that can be explained. It's kind of got some policy, uh, to it. What's your thoughts on this AI trend? Cause obviously it's everywhere. Um, I mean, what is explainable AI? Is that even real or how do you explain AI? Is that democratized? >>Yeah. Computer vision is a great example. I think to bring it to life I'm all of the audience probably knows this, but you could, you know, you can tell your kid that this is a cat once and they'll know every single cat out there is a cat, but if you, you, you need a thousands of images, uh, for a computer vision model to learn that this is a cat. And even, you know, you can probably give it an example, um, out of say a remote region of the world and it going to get confused. So to me, explainability is about adding some sort of certainty to the decision-making process. Um, and when there's a, some confusion, be able to understand why that happened. I think in, in automotive or any, even in quality assurance, being able to know that this product was definitively defective or this pedestrian definitively did cross the crosswalk or not. You know, it's very important because it could, you know, there are, there are consequences. So just being able to understand why the algorithm or the model said what it said, why did it make that judgment is super important, super important. >>So I've got to ask you now that we're here, re-invent from your engineering perspectives, you look at the landscape of AWS, the announcements. What, what, how do you think about it to other engineers out there trying to, uh, grok all the technology who really want to put innovation in place, whether it's creating new markets, new categories or innovating their existing business, how do you grab the class out and make it work for you? I mean, from an engineering standpoint, how do you look at AWS and say, how do I make this work better for me? >>Uh, so I mean, over the years, I, um, I think it's true. AWS has started to really look like a utility, you know, the days where it was called utility as a service. And, um, you know, I, I, I did attend a workshop on, I think it was called LightSail or something like that, but they are simplifying the way that you can consume this infrastructure to a degree that is somewhat phenomenal. Uh, and they're building any, yeah, they continue to expand the ecosystem. Um, so I mean, for me, it's, it's a utility. Uh, it's it's, it's, it's, it's, it's consumable. Uh, if you got an idea pick and roll your own. >>Okay. So back back to the, uh, the concept of AI and explainability, uh, one of my cars won't allow me to unlock certain functions because of the way that I drive. No one needs to explain to me why, because I know what I'm doing wrong, but I'm still frustrated by it. So that that's sort of leads to kind of the larger philosophical question to you about what you're seeing, where are we in this kind of leapfrog, constant pace of the technology exists, but people aren't culturally ready to accept it because it feels like right now to me that there isn't anything we can't do with cloud technology from a technical perspective, it can all be done. Swami's keynote today, talking about integrating all sorts of sources of data and actually leveraging them in the cloud. Um, technically possible yet 85% of it spend is still on prem. So, so what's your thought there? What are the, what are the inhibitors, what are the real inhibitors from a technology perspective versus the cultural ones? Uh, setting aside my lack of, uh, adherence to, uh, to driving lawful >>I industry by industry. I think in, um, you know, if you're trying to do a diagnostic on an MRI in an automated way, and there's going to be false positives, false negatives, and yes, we know that yeah, we know that there's going to be a physician participating in the final judgment call. Um, I think just getting a really good comfort level on the trustworthiness of these decision points, um, is really important. And so I don't blame folks for being reticent about, you know, trusting or, or asking some questions about, does this really work and are these autonomous systems as they become more and more precise, are they doing the right thing? Uh, I think there's research that has to be done on agency. You know, am I in patrol? What happened? Did I lose control? I think there's questions around handoffs, you know, and participation in decision-making. So I think just overall, just the broad area of trust and, uh, the relationship between the participants, the humans and the machines still. I think there's some work to do, to be honest with you. I think there's some work to do maybe in a manufacturing facility where everything's automated, you know, maybe it's a solved problem, but in an open road, when the vehicles driving, you know, in the middle afternoon, you know, you probably should ask some more questions. >>Well, I want to ask you what we got a couple of minutes left, real time data near real time, real time, always a big, hot topic. Seeing one more databases out there in the keynote today from Swami real-time are we there yet? How are we dealing with real-time data, software consuming the data? It comes to cars and things that are moving real time versus near real time. It could be life or death. I mean, this is big time. Where are we? >>So, um, I was trying to conduct a web conference. I won't tell the vendor because it has nothing to do with the vendor. Um, and I couldn't get a connection. I couldn't get a connection at reinvent. I just couldn't get it. I'm sorry guys. I can't get it. So I, you know, so we talk about real time talking about real-time operating systems and real time data collection at the edge. Yeah. We're there, we can collect the data and we can deploy a model in, you know, in the aircraft on the train to do predictive analytics. If we got to stream that data back home to the cloud, you know, we better figure out how to make sure we have a reliable and stable connection. 5g is a, you know, is, is, will be deployed, right? And it has ultra low latency, uh, and can achieve those types of, uh, requirements. But, uh, you know, it has to be in the right setting, right? That's to be the right setting and a facility, uh, very well controlled where you understand the density of the cell sites, small cells sound cells, and you really can deploy a, uh, a mobile robot, uh, wirelessly. Yes know, we can do that, but you know, kind of in, in, in other scenarios, we have a lot of ask that question about >>With the connections and making that false, huh? Well, he, thanks for coming on. Great insight, great conversation. Very deep, awesome work. Thanks for coming on and sharing your insights from cap Gemini. We're here in the cube, the worldwide leader in tech coverage live on the floor here at re-invent I'm John fare with Dave Nicholson. We write back.

(upbeat music) >> Welcome back to re:Invent 2021. You're watching theCUBE. My name is Dave Vellante. We're really excited to have Anthony Lye here. He's the Executive Vice President and General Manager of Public Cloud at NetApp. And Jonsi Stefansson as the CTO and VP of cloud at NetApp. Guys, good to see you. >> Same to you. >> Likewise. >> It's great to be back. >> You know, Anthony. Well so, we saw each other virtually at the AWS Storage Day, the big announcement, we're going to talk about that. But I go back and I said this to you several years ago, we were sitting, you know, some after party and you said "We are going to transform NetApp. We are going all in on cloud." We've seen NetApp transform many, many times. This is probably the biggest in history. >> No, I think you're absolutely right. I think, you know, I can't believe it, but you know, it will be five years for me in February. And in those five years, I think we really have done things that nobody expected. And I think we've proven to our existing customers, to our competitors, and now with Amazon, to a whole new set of customers that our intellectual property that we build and the acquisitions that we've done have made a lot of sense. I think we've demonstrated this wonderful concept of symmetry. Customers now understand and believe that a dollar invested in an App, wherever it is on premise or in the cloud is a dollar that moves wherever they want it to move and progresses as their own businesses progress. >> So Jonsi, for the latest announcement that you guys made to integrate ONTAP into the AWS cloud, you had to do some deeper integration, right? It wasn't just wrap your stack and Kubernetes and shove it into the cloud. But can you just talk about what you had to do? What the collaboration was like? >> The collaboration with AWS has been fantastic. It literally took two and a half years, you know, from the point where we decided to agree on the design principles, how we were actually going to deliver this as a service, the integration into every single aspect of AWS, you know, whether it's the console, the FSx, API, the integrations, to all the additional services that AWS has, like RDS, like Aurora, like the SageMaker, like EKS and ECS. And I mean, we are just getting started with the integration points and the collaboration and the teamwork. I would call it teamwork more than a collaboration. The teamwork with all these teams and maybe especially at name who was the leader of the storage sort of a unit in AWS has been fantastic. >> Dave: Yeah. Well so, this is the 10th re:Invent. This is the 9th year we've been here. We've seen a dramatically different cloud than 10 years ago, 15 years ago, and a different storage business. I'm not even sure. I mean, I don't know. I didn't even think about it as the old storage business anymore. Essentially, you're building a cloud on top of clouds. A super cloud if you will. >> Anthony: Yeah, I mean. I think, look, the strategy was, as I said, very, very simple to us, which was, you know, fundamentally companies, you know, run their applications on the basic primitives of compute storage and networking. And the gold standard for file was always ONTAP. And I think what we did, which I think was unique was we didn't just, as you said, throw it onto a cloud, stick it in a virtual machine and tell you, the customer "There. It's ONTAP just as you remember it." We reimagined it. And we architected it to be a cloud service. So it's elastic, it goes up and down. You can change the performance at runtime. And what we really did with Amazon was we wanted to make it a fully managed service. We didn't want people to think about versioning and patching. We wanted to remove all of that and we wanted people to take as much or as little as they needed. And we, and Amazon, we chose that we should own the responsibility for the availability of the service. And we should maintain the service ourselves so that customers of ONTAP can benefit from the solution. But in many ways, customers who've never been ONTAP customers can now take advantage of an enterprise grade file system and all the great things that it does without having to understand how it works. >> And explain why that's important for customers because people, they go, "Wow, you got S3." but it's very simple. Get, put, right? You don't have the full stack of a mature ONTAP. Please explain what that means to customers a little bit. >> You know, file systems are very important things. You know, we basically use them in our work environments every single day, you know. Within your sort of, you know, your Mac book, you have a home directory and sub-directories and files, very elegantly layout applications and layout infrastructures in ways that object repositories cannot. You know, aside from block and file. Sorry, from file and object, you of course, have block storage. And so, file plays a very important role. IDC has file growing at almost twice the pace of object now on the public cloud systems and, you know, file has about 13% of the overall storage market and it's growing. And I don't see any reason why file won't be as big on the Amazon cloud as the S3 has been. >> Dave: So you guys, go ahead, please. >> Yeah. I mean, you also have to take into account that the S3 object storage offerings of AWS is an integrated PaaS in our solution. So that's how we are actually doing automatic tiering. So you actually reap the best of both worlds, where you get the cost management of putting it in object storage, but you get the performance and the data management capabilities that is pretty unprecedented. You know, we are the first store that's offering that can actually do cross-region replication seamlessly by retaining deduplication and compression. But we also play a lot with, you know, block and object storage. So when Anthony was talking about how we've actually delivered this as a service, and this is sort of from our design principles, we are basically delivering this as a software, as a service, because more than an infrastructure as a service, because the stock that we are actually deploying, or the secret sauce of ONTAP, it's a very vast software stack that we are delivering, on top of AWS infrastructure. So I would always call it or categorize it a little bit more than software as a service, rather than infrastructure as a service. >> But it's even more than that, if I'm right, because it's cloud pricing, right? >> Jonsi: Yes. >> So it's not, you're not preying. I mean, when I buy Salesforce, I got to sign up for three-year deal. That's not a consumption-based model. >> Yeah. >> Oh, I think Amazon, you know what Amazon did uniquely and brilliantly was, it retailed technology and it's what makes Amazon so good, is that they choose to sort of simplify things. And when they find benefits as a retailer, they pass them on to the customer and, you know, there's this sort of pay-as-you-go business model, it's really good for the customer. It makes us work harder because, you know, you have to retain your customer sort of every 10 minutes. And that's something that, you know, as you said, with enterprise software and even some of the early SaaS vendors, that's not how it works. And so Amazon has forced us all to be very, very attentive to our customers. >> Dave: And I'd love to talk about what that means for the on-prem business, but if we have time. But you guys won Design Partner of the Year, what's that all about? First of all, congratulations. >> Anthony: Thank you. There's a lot of ISV design partners. You guys came out number one so congratulations on that. What's that all about? Explain what that entailed and how you got that. >> Yeah, I'll say a few words. Maybe Jonsi can add. I mean, the first thing of course is, you know, I S V stands for Independent Software Vendor. So, you know, it's always great because most people would say, "Well, NetApp is on-premise storage hardware." >> Dave: Of course, yeah. >> Which really, we've not really ever been an increasingly with demonstrating that we are a software company and we operate at cloud speed. You know, I can't really take the credit. I would give it to Jonsi and the engineering team. Maybe Jonsi, you can explain, you know, what moral about the award and why I think we were selected. >> So, I mean, I think it says a lot that this is the first time AWS has ever allowed a third party company to be this integrated into their console, into a support ability systems. You know, we make fun of this, me and Anthony all the time, because when we started this, down this path, everybody at NetApp said, "Guys, you're wasting your time." This is why AWS has the marketplace, but we didn't want to go. We already had the marketplace and we wanted to be able to connect to all these associated services and do within the manner that, you know, this was a true collaboration of engineering teams for a long time to actually deliver the service on both sides so the credit, of course, will always go to the engineers on both sides, even though I designed it, I didn't coat it. So, I think that, that alone, being the first to do it in AWS ever. I think we deserve that award. >> So just for our audience, to be clear, we're talking about FSx, ONTAP in the cloud, in the AWS cloud and kind of dance around that. But so that was announced, I guess, in September? >> Anthony: Yes. >> Right? >> Anthony: September, 2nd. >> What's the uptake been like? What's the reaction? >> Unbelievable. >> I'll bet. (laughing) >> No, no, I mean. >> No, I believe it. >> Better than we ever dreamed of. >> Yeah. >> The number of customers, I'm sure I'm not allowed to say the number of customers, but we asked and the fact that, you know, 60% of those customers have never been NetApp customers before, but they see the value in the data management capabilities that we are bringing to the market. >> Dave: So it exceeded expectations and your expectations were probably pretty enthusiastic. >> They were high. >> Yeah. >> I mean, Amazon is on the record. I was with Ed earlier on today, recording a piece and Ed, you know, was very clear that it's one of the fastest growing services now on AWS. You know, it turns out that, you know, the customer base, I think recognizes the, not just the need for a file system, but the uniqueness and capabilities that ONTAP provides, you know, to those customers in how they manage their business and transformations. And so, you know, to be sort of behind the console, to be sort of behind the Amazon CLI and the Amazon API, you see the world very, very differently, you know. I think the Amazon marketplace is a fantastic capability, but I'll tell you, you know, being a core part of the AWS service itself that they sell, that they support, that they bill for. It's a nice place to be. >> So, SaaS company. You're talking to the language of application development, Kubernetes, right? What do you think this means for the future of NetApp specifically, but also generally the on-prem storage business and the storage business in general? >> Well, we just announced our second quarter earnings today and what's happening is our cloud business is growing like crazy. We generated $388 million of ARR and the growth rates are, you know, astronomically high. That is increasingly helping our on-premise business to grow. You know, the nice thing about being in primarily, in the storage and data business is people aren't deleting many things. And the rate at which they're generating information is just accelerating. So, actually the confidence that we give the customer by demonstrating a sort of a cloud first, a sort of principles of all the cloud is actually giving customers to buy more on premise. So, we really don't mind. We are, our job much like Amazon's, is to have this customer obsession and you can't really go wrong, if you just keep asking them what they want. >> Yeah, if you can do so profitably, you're going to be reinvest in your business. Guys, we've got to go. >> Yeah. >> Love to have you back. >> Thank you. >> And you been quite a transformation. You said you're going to do it. You're doing it. So, well done to you. Five years in the making. Okay. This is Dave Vellante for theCUBE, the leader in high-tech coverage. Keep it right there. We'll be right back from AWS re:Invent 21. (upbeat music)

(upbeat music) >> Welcome back to theCUBE's continuing coverage of AWS re:Invent 2021 live from Las Vegas. I'm Lisa Martin. We are doing one of the most important industry events, hybrid events this year with Amazon and its massive ecosystem of partners, some of which are joining me next. We've got two live sets, two remote sets, over 100 guests on the program, I'm going to be talking about the next decade in Cloud innovation. I'm pleased to welcome back Anthony Lye to the program, the Executive Vice President and General Manager of Public Cloud at NetApp. Anthony good to see you. >> Nice to see you again thanks for... >> Nice to see you in person. >> I know... >> It's been a couple of years. And Amiram Shachar is here, the VP and GM of Spot by NetApp, Amiram it's great to have you on the program, welcome. >> Likewise, thank you. >> So the acquisition, the Spot acquisition was during the pandemic mid 2020, Amiram talk to me about that why NetApp, how's it going? Give us the lay of the land. >> I think that's the, it's one of the greatest things that NetApp has done, and I think it's one of the most amazing outcomes we could have as a company. And if you think about it in a first sight, when you look at storage company and compute company, what's the connection? But the thing is that NetApp is a company that is going through a huge transformation into Cloud. And by doing this acquisition, it's really like signaling where it's going. It's going way beyond, and honestly I just wanted to be part of it. >> And what's the customer sentiment been the 18 months or so, post acquisition? >> I think NetApp has done specifically with Anthony leading that acquisition, NetApp has done a phenomenal job of keeping Spot as a business unit, independent business unit. So our customers didn't really feel that something had happened, like the only thing we told them is we're going to have more funding, so. >> I'm sure they like that. Anthony talk to us about NetApp's transformation, transition, Spot as part of that. And then of course, CloudCheckr which acquisition was just announced I believe yesterday? >> We closed on actually November 7th. >> Lisa: Okay. >> So it's almost been a month now since we closed, but I've been at NetApp my gosh, it'll be five years in February. And you know, I think that the company had a real desire to sort of, to re-imagine itself and to sort of to embrace the public Clouds and to give its customers you know, what I think it's done incredibly well is this idea of symmetry. That we wanted to build something on Amazon that was as good or maybe a little bit better than on-premise. And customers really I think appreciated, they appreciate that sort of, that desire for us to do those kinds of things. Now of course, CloudCheckr was my ninth acquisition in four years. Just to sort of, to build on what Amiram said I mean, CloudCheckr we acquired four Spot and we acquired what? Four companies in the last 12 months for Spot. So we really believe that as a company now we can address all of their potential opportunities, whether it's in a legacy application, whether it's a virtual desktop, whether it's a Cloud native application, or we just went and announced Ocean for Apache Spark. So Spot now has an optimization and automation solution for Spark on AWS which we announced, I think just yesterday. >> Correct. >> But I'd like to get both of your perspectives on keeping Spot as a brand, Anthony we'll start with you and then Amiram we'll go to you. >> Amiram is the founder, and he was the CEO of the company and built a fantastic company. And we, NetApp I think has a phenomenal brand, but a brand that's that's associated with the sort of the traditional IT organization. And as you note in the Cloud the buyers are slightly different. They're sort of the application owners, or they operate in a sort of a construct that most people call CloudOps or DevOps. And we felt that Spot represented that new buyer in ways that NetApp didn't and probably couldn't. And so we really liked the idea of having the structure of the big N supported by a little pink and a little blue and a more sort of Cloud native brand. >> And that's key, especially the dynamics in the market that we've seen the last 22 months with the rapid changes, the pivot to Cloud customers that weren't that digital needing to go in that direction to survive in the very beginning, I imagine this was really kind of core to NetApp's strategy, but also helping both of your customers to survive initially and then to be able to thrive and identify some of those key areas where they can cut costs would be a far more efficient. >> Okay I think you are in here, if you were born physical you're now digital, and if you weren't born physical you were born digital. And you know, digital is a very effective medium accelerated by the pandemic because as you said, we couldn't really get close to each other and you just look at the innovation around us here at Amazon, it's just amazing to watch. And we've just been really, really good partners with Amazon now for many, many years. And we continue to see just huge, huge opportunities. >> Well Adam Selipsky this morning in his keynote, one of the partners he called out was NetApp. >> Yeah I know I mean, I'll talk a little bit later on maybe with Yancey and I but you know, Amazon now sells our product. They haven't done that with anybody. So ONTAP is now a product that Amazon sells. >> Lisa: Okay. >> Amazon supports, Amazon bills, Amazon runs. So we've really, really demonstrated I think not just to our customers, that sort of a high rate of innovation and an opportunity to sort of accelerate their businesses, but we've demonstrated it to Amazon themselves, that we can operate like them. And we can develop with them at a speed that they are comfortable with. That maybe a few years ago many people would have doubted that a legacy company could operate this way. >> Right, one of the things we know about Amazon is the speed, but also their focus on the customer it's laser-focused, that whole flywheel of Amazon everything that was being announced this morning was exciting to your point Anthony, but it's also showing how involved the customers and the partners are in the ecosystem and that flywheel. Amiram talk to me from your perspective what are some of the, from a visionary standpoint what are some of the things that you're looking forward to going forward with CloudCheckr, but also knowing how deeply connected and integrated NetApp is with a big powerhouse like AWS? >> Yeah, so a few things about that. I think the first thing is also my take from today, like listening to the keynote and looking at all the new announcements. I think the trend is that deployment to the Cloud is becoming easier, but operations is becoming messier. And I think when we look at our category and where we aspire, where we want to be and where we're going. So I think with the CloudCheckr acquisition. So we're expanding into an area that we haven't been to because there are two categories in Cloud cost, there is optimization and there is cost management. What we've done, what we've built, what we've, the business we had is in the optimization space. It's actively reducing and optimizing resources for customers. And there are very few companies in that category as I can say. But right now we're expanding into that area of cost management, so we can meet our customers sooner and you can see us doing it in multiple areas, not only here, but also if we look at a customer journey in the Cloud, it starts with bring workloads in the Cloud, deploy them, and then secure them, and then automate them and then optimize them. Nobody moves to the Cloud and optimizes. So we're typically meeting customers at the end of their journey, we're meeting customers where they need an optimization and they have everything already set up. And right now with Ocean for Apache Spark, Ocean continuous delivery, Spot security, we're meeting customers sooner in their journey so we can provide a much more holistic solution and platform to customers wherever they are in their migration to the Cloud and scaling into Cloud. And with CloudCheckr also taking us to a whole new world of cost management. So, I think we're scaling and ramping and doing all these things, and it's so amazing to realize that we haven't unleashed even 1% of what we can do. >> Really, so there's much more under the covers that we're still waiting for? >> I think the good news is you know, to comment more on what you said, our roadmaps are now largely being driven by customers. And that's just so refreshing to know that you've not only solved a problem for a particular customer, but the customer wants you to solve more problems and that they trust us to be that sort of organization that can help them. So, we're full steam ahead. You know, we're going to continue to acquire in areas where we think we can get acceleration. But our acquisition of Spot was very much about as Amiram said, bringing not just a great company into the business, but to invest significantly in it. And that's really proven I think to me, as Amiram said, one of the most if not the most successful acquisition NetApp has ever done. >> Well congratulations, that's fantastic. But it also sounds like from that customer focus there's clear, strong alignment with how AWS operates, how it values its customers from NetApp's perspective and I imagine from Spots as well. >> You know, if there's one thing I was really proud of during the acquisition, is I got a phone call from a customer, it's the largest food delivery company in South America, and they were very worried about this acquisition and I asked them why? And they told me, "Because your customer service, Spot's customer service is the best customer service I've ever gotten, and if I'm not going to continue to get this customer service, I need to look how I'm finding another vendor." And they told me that, when they want to even tell AWS like which company they can learn from, they're always pointing at Spot. So, and that was a very refreshing moment for me to realize how much also at Spot we care about our customers, but not only as a gimmick, as something that customer obsession, as something that we really live. And that was interesting to see that, that was a concern by our customers when we got acquired. >> Well that's proof in the pudding, because you're right it's one thing to say, companies can always say, "We're customer obsessed, we're customer first, we're customer focused." It's one thing to say it as a marketing term it's a whole other thing to actually live it and demonstrate it, and actually have people coming to you saying that, "We want to model that." I'm curious Anthony, what did you pull over from that? What has NetApp learned from this? >> I always tell Amiram that the idea was that they would essentially take us over. That you know, we sort of loved their culture, we loved their people and their process. And we literally changed a lot of how NetApp operated to operate along the Spot model. So we really did, as Amiram said earlier on, we let them not just sort of exist, but we let them thrive. And we encourage them to point at other areas that NetApp, that they thought we should change to be more like them. And it's raised the bar across everything we do now. And so, we now have a lot of the Spot business processes, a lot of the Spot cultures sort of seeping into the whole of the company. >> That's a very empathetic approach, and that's one of the things that we've learned in the last year and a half that's been, it's key to leadership, it's key to anything is that empathy. But the ability to recognize where there are things within an organization that can be improved and looking at leaders like Spot to go, "Let's actually make this really symbiotic and bi-directional." And I imagine with CloudCheckr it's going to be the same type of influence? >> Well as I've always said, and I say this to the employees and to the acquisitions that we make, what we are acquiring is people. You know the logo, the software, even in many ways the customer base is really very much I think a function of the people. And we work incredibly hard to retain the people, but we do so by sort of empowering them and encouraging them to lead. We really don't want to have the historical perspective of acquisitions, where big company swamps the little company. And I think we've tried very hard to make that a part of our acquisition strategy. And so CloudCheckr is very early in the process but very much, we're following those things, even Amiram and his team are learning from them. If they're doing something a little better than Spot is, then that's something we'll pick up from them. >> And that's just from a very open cultural perspective, that's a big change for NetApp but it's also a smart way to go, 'cause you're right it's, you're acquiring people. And we often talk about people, process, technology. But it's, sometimes to be honest with you it's rare that we hear companies talking about the people focus as being that's critical. It's because of our people that we have successful support, happy successful customers. So that people focus is (inaudible). >> You know, it's the company and culture is not something you can manufacture. It's something that happens and it happens I think through people. And it's an important thing is, if you can establish an organization with the right kinds of people and again, all credit goes to Amiram as the founder and CEO of the company. I think you sort of demanded a kind of person and a kind of culture that set you apart from so many other companies. >> I think the focus on culture was, I was very obsessed with it from very early on in the process that even Spot investors were very, they were questioning like, how come that you are so much obsessed with culture so early on? And I think it paid off big time. There was a book I read while being a CEO that really helped me to scale from quarter to quarter, because I really believe that as a CEO of a startup, every quarter you're basically applying again to your job because you're getting a new company every quarter. And about people, processes, technology, so at Spot it was a little bit different through the book I read, which is "The Hard Thing About Hard Things" by Ben Horowitz, it's people, product, revenue, PPR. And you need to take care of the people, and if you don't take care of the people, so nothing else matter, like it's nothing else just... >> Right. >> And if the people and the product are not working well, so the revenue are not going to come. So revenue was always for us as something that is coming, it's trailing after a good product and good people. >> I love that, what a great, honest focus and vision you guys both have congratulations on the acquisition, CloudCheckr. But also just the cultural alignment that you've done that's really driven by your people and the customers, it's really refreshing to hear that and congrats on NetApp's continued partnership with AWS. We look forward to having you on again next time we can see you in person and talk more about customer successes. >> Thank you very much for hosting us. >> My pleasure guys. >> Thank you. >> For my guests, I'm Lisa Martin. You're watching theCUBE, the global leader in live tech coverage. (upbeat music)

(bright music) >> Hello, everyone, and welcome to this CUBE video exclusive. This is Dave Vellante, and as I've said many times what people sometimes forget is Oracle's chairman is also its CTO, and he understands and appreciates the importance of engineering. It's the lifeblood of tech innovation, and Oracle continues to spend money on R and D. Over the past decade, the company has evolved its Exadata platform by investing in core infrastructure technology. For example, Oracle initially used InfiniBand, which in and of itself was a technical challenge to exploit for higher performance. That was an engineering innovation, and now it's moving to RoCE to try and deliver best of breed performance by today's standards. We've seen Oracle invest in machine intelligence for analytics. It's converged OLTB and mixed workloads. It's driving automation functions into its Exadata platform for things like indexing. The point is we've seen a consistent cadence of improvements with each generation of Exadata, and it's no secret that Oracle likes to brag about the results of its investments. At its heart, Oracle develops database software and databases have to run fast and be rock solid. So Oracle loves to throw around impressive numbers, like 27 million AKI ops, more than a terabyte per second for analytics scans, running it more than a terabyte per second. Look, Oracle's objective is to build the best database platform and convince its customers to run on Oracle, instead of doing it themselves or in some other cloud. And because the company owns the full stack, Oracle has a high degree of control over how to optimize the stack for its database. So this is how Oracle intends to compete with Exadata, Exadata Cloud@Customer and other products, like ZDLRA against AWS Outposts, Azure Arc and do it yourself solutions. And with me, to talk about Oracle's latest innovation with its Exadata X9M announcement is Juan Loaiza, who's the Executive Vice President of Mission Critical Database Technologies at Oracle. Juan, thanks for coming on theCUBE, always good to see you, man. >> Thanks for having me, Dave. It's great to be here. >> All right, let's get right into it and start with the news. Can you give us a quick overview of the X9M announcement today? >> Yeah, glad to. So, we've had Exadata on the market for a little over a dozen years, and every year, as you mentioned, we make it better and better. And so this year we're introducing our X9M family of products, and as usual, we're making it better. We're making it better across all the different dimensions for OLTP, for analytics, lower costs, higher IOPs, higher throughputs, more capacity, so it's better all around, and we're introducing a lot of new software features as well that make it easier to use, more manageable, more highly available, more options for customers, more isolation, more workload consolidation, so it's our usual better and better every year. We're already way ahead of the competition in pretty much every metric you can name, but we're not sitting back. We have the pedal to the metal and we're keeping it there. >> Okay, so as always, you announced some big numbers. You're referencing them. I did in my upfront narrative. You've claimed double to triple digit performance improvements. Tell us, what's the secret sauce that allows you to achieve that magnitude of performance gain? >> Yeah, there's a lot of secret sauce in Exadata. First of all, we have custom designed hardware, so we design the systems from the top down, so it's not a generic system. It's designed to run database with a specific and sole focus of running database, and so we have a lot of technologies in there. Persistent memory is a really big one that we've introduced that enables super low response times for OLTP. The RoCE, the remote RDMA over convergency ethernet with a hundred gigabit network is a big thing, offload to storage servers is a big thing. The columnar processing of the storage is a huge thing, so there's a lot of secret sauce, most of it is software and hardware related and interesting about it, it's very unique. So we've been introducing more and more technologies and actually advancing our lead by introducing very unique, very effective technologies, like the ones I mentioned, and we're continuing that with our X9 generation. >> So that persistent memory allows you to do a right directly, atomic right directly to memory, and then what, you update asynchronously to the backend at some point? Can you double click on that a little bit? >> Yeah, so we use persistent memory as kind of the first tier of storage. And the thing about persistent memory is persistent. Unlike normal memory, it doesn't lose its contents when you lose power, so it's just as good as flash or traditional spinning disks in terms of storing data. And the integration that we do is we do what's called remote direct memory access, that means the hardware sends the new data directly into persistent memory and storage with no software, getting rid of all the software layers in between, and that's what enables us to achieve this extremely low latency. Once it's in persistent memory, it's stored. It's as good as being in flash or disc. So there's nothing else that we need to do. We do age things out of persistent memory to keep only hot data in there. That's one of the tricks that we do to make sure, because persistent memory is more expensive than flash or disc, so we tier it. So we age data in and out as it becomes hot, age it out as it becomes cold, but once it's in persistent memory, it's as good as being stored. It is stored. >> I love it. Flash is a slow tier now. So, (laughs) let's talk about what this-- >> Right, I mean persistent memory is about an order of magnitude faster. Flash is more than an order of magnitude faster than disk drive, so it is a new technology that provides big benefits, particularly for latency on OLTP. >> Great, thank you for that, okay, we'll get out of the plumbing. Let's talk about what this announcement means to customers. How does all this performance, and you got a lot of scale here, how does it translate into tangible results say, for a bank? >> Yeah, so there's a lot of ways. So, I mentioned performance is a big thing, always with Exadata. We're increasing the performance significantly for OLTP, analytics, so OLTP, 50, 60% performance improvements, analytics, 80% performance improvements in terms of costs, effectiveness, 30 to 60% improvement, so all of these things are big benefits. You know, one of the differences between a server product like Exadata and a consumer product is performance translates in the cost also. If I get a new smartphone that's faster, it doesn't actually reduce my costs, it just makes my experience a little better. But with a server product like Exadata, if I have 50% faster, I can translate that into I can serve 50% more users, 50% more workload, 50% more data, or I can buy a 50% smaller system to run the same workload. So, when we talk about performance, it also means lower costs, so if big customers of ours, like banks, telecoms, retailers, et cetera, they can take that performance and turn it into better response times. They can also take that performance and turn it into lower costs, and everybody loves both of those things, so both of those are big benefits for our customers. >> Got it, thank you. Now in a move that was maybe a little bit controversial, you stated flat out that you're not going to bother to compare Exadata cloud and customer performance against AWS Outposts and Azure Stack, rather you chose to compare to RDS, Redshift, Azure SQL. Why, why was that? >> Yeah, so our Exadata runs in the public cloud. We have Exadata that runs in Cloud@Customer, and we have Exadata that runs on Prem. And Azure and Azure Stack, they have something a little more similar to Cloud@Customer. They have where they take their cloud solutions and put them in the customer data center. So when we came out with our new X8, 9M Cloud@Customer, we looked at those technologies and honestly, we couldn't even come up with a good comparison with their equivalent, for example, AWS Outpost, because those products really just don't really run. For example, the two database products that Outposts promote or that Amazon promotes is Aurora for OLTP and Redshift for analytics. Well, those two can't even run at all on their Outposts product. So, it's kind of like beating up on a child or something. (laughs) It doesn't make sense. They're out of our weight class, so we're not even going to compare against them. So we compared what we run, both in public cloud and Cloud@Customer against their best product, which is the Redshifts and the Auroras in their public cloud, which is their most scalable available products. With their equivalent Cloud@Customer, not only does it not perform, it doesn't run at all. Their Premiere products don't run at all on those platforms. >> Okay, but RDS does, right? I think, and Redshift and Azure SQL, right, will run a their version, so you compare it against those. What were the results of the benchmarks when you did made those comparisons? >> Yeah, so compared against their public cloud or Cloud@Customer, we generally get results that are something like 50 times lower latency and close to a hundred times higher analytic throughput, so it's orders of magnitude. We're not talking 50%, we're talking 50 times, so compared to those products, there really is kind of, we're in a different league. It's kind of like they're the middle school little league and we're the professional team, so it's really dramatically different. It's not even in the same league. >> All right, now you also chose to compare the X9M performance against on-premises storage systems. Why and what were those results? >> Yeah, so with the on-premises, traditionally customers bought conventional storage and that kind of stuff, and those products have advanced quite a bit. And again, those aren't optimized. Those aren't designed to run database, but some customers have traditionally deployed those, you know, there's less and less these days, but we do get many times faster both on OLTP and analytic performance there, I mean, with analytics that can be up to 80 times faster, so again, dramatically better, but yeah, there's still a lot of on-premise systems, so we didn't want to ignore that fact and compare only to cloud products. >> So these are like to like in the sense that they're running the same level of database. You're not playing games in terms of the versioning, obviously, right? >> Actually, we're giving them a lot of the benefit. So we're taking their published numbers that aren't even running a database, and they use these low-level benchmarking tools to generate these numbers. So, we're comparing our full end-to-end database to storage numbers against their low-level IO tool that they've published in their data sheets, so again, we're trying to give them the benefit of the doubt, but we're still orders of magnitude better. >> Okay, now another claim that caught our attention was you said that 87% of the Fortune 100 organizations run Exadata, and you're claiming many thousands of other organizations globally. Can you paint a picture of the ICP, the Ideal Customer Profile for Exadata? What's a typical customer look like, and why do they use Exadata, Juan? >> Yeah, so the ideal customer is pretty straightforward, customers that care about data. That's pretty much it. (Dave laughs) If you care about data, if you care about performance of data, if you care about availability of data, if you care about manageability, if you care about security, those are the customers that should be looking strongly at Exadata, and those are the customers that are adopting Exadata. That's why you mentioned 87% of the global Fortune 100 have already adopted Exadata. If you look at a lot of industries, for example, pretty much every major bank almost in the entire world is running Exadata, and they're running it for their mission critical workloads, things like financial trading, regulatory compliance, user interfaces, the stuff that really matters. But in addition to the biggest companies, we also have thousands of smaller companies that run it for the same reason, because their data matters to them, and it's frankly the best platform, which is why we get chosen by these very, very sophisticated customers over and over again, and why this product has grown to encompass most of the major corporations in the world and governments also. >> Now, I know Deutsche bank is a customer, and I guess now an engineering partner from the announcement that I saw earlier this summer. They're using Cloud@Customer, and they're collaborating on things like security, blockchain, machine intelligence, and my inference is Deutsch Bank is looking to build new products and services that are powered by your platforms. What can you tell us about that? Can you share any insights? Are they going to be using X9M, for example? >> Yes, Deutsche Bank is a partnership that we announced a few months ago. It's a major partnership. Deutsche Bank is one of the biggest banks in the world. They traditionally are an on-premises customer, and what they've announced is they're going to move almost the entire database estate to our Exadata Cloud@Customer platform, so they want to go with a cloud platform, but they're big enough that they want to run it in their own data center for certain regulatory reasons. And so, the announcement that we made with them is they're moving the vast bulk of their data estate to this platform, including their core banking, regulatory applications, so their most critical applications. So, obviously they've done a lot of testing. They've done a lot of trials and they have the confidence to make this major transition to a cloud model with the Exadata Cloud@Customer solution, and we're also working with them to enhance that product and to work in various other fields, like you mentioned, machine learning, blockchain, that kind of project also. So it's a big deal when one of the biggest, most conservative, best respected financial institution in the world says, "We're going all in on this product," that's a big deal. >> Now outside of banking, I know a number of years ago, I stumbled upon an installation or a series of installations that Samsung found out about them as a customer. I believe it's now public, but they've something like 300 Exadatas. So help us understand, is it common that customers are building these kinds of Exadata farms? Is this an outlier? >> Yeah, so we have many large customers that have dozens to hundreds of Exadatas, and it's pretty simple, they start with one or two, and then they see the benefits, themselves, and then it grows. And Samsung is probably the biggest, most successful and most respected electronics company in the world. They are a giant company. They have a lot of different sub units. They do their own manufacturing, so manufacturing's one of their most critical applications, but they have lots of other things they run their Exadata for. So we're very happy to have them as one of our major customers that run Exadata, and by the way, Exadata again, very huge in electronics, in manufacturing. It's not just banking and that kind of stuff. I mean, manufacturing is incredibly critical. If you're a company like Samsung, that's your bread and butter. If your factory stops working, you have huge problems. You can't produce products, and you will want to improve the quality. You want to improve the tracking. You want to improve the customer service, all that requires a huge amount of data. Customers like Samsung are generating terabytes and terabytes of data per day from their manufacturing system. They track every single piece, everything that happens, so again, big deal, they care about data. They care deeply about data. They're a huge Exadata customer. That's kind of the way it works. And they've used it for many years, and their use is growing and growing and growing, and now they're moving to the cloud model as well. >> All right, so we talked about some big customers and Juan, as you know, we've covered Exadata since its inception. We were there at the announcement. We've always stressed the fit in our research with mission critical workloads, which especially resonates with these big customers. My question is how does Exadata resonate with the smaller customer base? >> Yeah, so we talk a lot about the biggest customers, because honestly they have the most critical requirements. But, at some level they have worldwide requirements, so if one of the major financial institutions goes down, it's not just them that's affected, that reverberates through the entire world. There's many other customers that use Exadata. Maybe their application doesn't stop the world, but it stops them, so it's very important to them. And so one of the things that we've introduced in our Cloud@Customer and public cloud Exadata platforms is the ability for Oracle to manage all the infrastructure, which enables smaller customers that don't have as much IT sophistication to adopt these very mission critical technology, so that's one of the big advancements. Now, we've always had smaller customers, but now we're getting more and more. We're getting universities, governments, smaller businesses adopting Exadata, because the cloud model for adopting is dramatically simpler. Oracle does all the administration, all the low-level stuff. They don't have to get involved in it at all. They can just use the data. And, on top of that comes our autonomous database, which makes it even easier for smaller customers to adapt. So Exadata, which some people think of as a very high-end platform in this cloud model, and particularly with autonomous databases is very accessible and very useful for any size customer really. >> Yeah, by all accounts, I wouldn't debate Exadata has been a tremendous success. But you know, a lot of customers, they still prefer to roll their own, do it themselves, and when I talk to them and ask them, "Okay, why is that?" They feel it limits their reliance on a single vendor, and it gives them better ability to build what I call a horizontal infrastructure that can support say non-Oracle workloads, so what do you tell those customers? Why should those customers run Oracle database on Exadata instead of a DIY infrastructure? >> Yeah, so that debate has gone on for a lot of years. And actually, what I see, there's less and less of that debate these days. You know, initially customers, many customers, they were used to building their own. That's kind of what they did. They were pretty good at it. What we have shown customers, and when we talk about these major banks, those are the kinds of people that are really good at it. They have giant IT departments. If you look at a major bank in the world, they have tens of thousands of people in their IT departments. These are gigantic multi-billion dollar organizations, so they were pretty good at this kind of stuff. And what we've shown them is you can't build this yourself. There's so much software that we've written to integrate with the database that you just can't build yourself, it's not possible. It's kind of like trying to build your own smartphone. You really can't do it, the scale, the complexity of the problem. And now as the cloud model comes in, customers are realizing, hey, all this attention to building my own infrastructure, it's kind of last decade, last century. We need to move on to more of an as a service model, so we can focus on our business. Let enterprises that are specialized in infrastructure, like Oracle that are really, really good at it, take care of the low-level details, and let me focus on things that differentiate me as a business. It's not going to differentiate them to establish their own storage for database. That's not a differentiator, and they can't do it nearly as well as we can, and a lot of that is because we write a lot of special technology and software that they just can't do themselves, it's not possible. It's just like you can't build your own smartphone. It's just really not possible. >> Now, another area that we've covered extensively, we were there at the unveiling, as well is ZDLRA, Zero Data Loss Recovery Appliance. We've always liked this product, especially for mission critical workloads, we're near zero data loss, where you can justify that. But while we always saw it as somewhat of a niche market, first of all, is that fair, and what's new with ZDLRA? >> Yeah ZDLRA has been in the market for a number of years. We have some of the biggest corporations in the world running on that, and one of the big benefits has been zero data loss, so again, if you care about data, you can't lose data. You can't restore to last night's backup if something happens. So if you're a bank, you can't restore everybody's data to last night. Suppose you made a deposit during the day. They're like, "Hey, sorry, Mr. Customer, your deposit, "well, we don't have any record of it anymore, "'cause we had to restore to last night's backup," you know, that doesn't work. It doesn't work for airlines. It doesn't work for manufacturing. That whole model is obsolete, so you need zero data loss, and that's why we introduced Zero Data Loss Recovery Appliance, and it's been very successful in the market. In addition to zero data loss, it actually provides much faster restore, much more reliable restores. It's more scalable, so it has a lot of advantages. With our X9M generation, we're introducing several new capabilities. First of all, it has higher capacity, so we can store more backups, keep data for longer. Another thing is we're actually dropping the price of the entry-level configuration of ZDLRA, so it makes it more affordable and more usable by smaller businesses, so that's a big deal. And then the other thing that we're hearing a lot about, and if you read the news at all, you hear a lot about ransomware. This is a major problem for the world, cyber criminals breaking into your network and taking the data ransom. And so we've introduced some, we call cyber vault capabilities in ZDLRA. They help address this ransomware issue that's kind of rampant throughout the world, so everybody's worried about that. There's now regulatory compliance for ransomware that particularly financial institutions have to conform to, and so we're introducing new capabilities in that area as well, which is a big deal. In addition, we now have the ability to have multiple ZDLRAs in a large enterprise, and if something happens to one, we automatically fail over backups to another. We can replicate across them, so it makes it, again, much more resilient with replication across different recovery appliances, so a lot of new improvements there as well. >> Now, is an air gap part of that solution for ransomware? >> No, air gap, you really can't have your back, if you're continuously streaming changes to it, you really can't have an air gap there, but you can protect the data. There's a number of technologies to protect the data. For example, one of the things that a cyber criminal wants to do is they want to take control of your data and then get rid of your backup, so you can't restore them. So as a simple example of one thing we're doing is we're saying, "Hey, once we have the data, "you can't delete it for a certain amount of days." So you might say, "For the 30 days, "I don't care who you are. "I don't care what privileges you have. "I don't care anything, I'm holding onto that data "for at least 30 days," so for example, a cyber criminal can't come in and say, "Hey, I'm going to get into the system "and delete that stuff or encrypt it," or something like that. So that's a simple example of one of the things that the cyber vault does. >> So, even as an administrator, I can't change that policy? >> That's right, that's one of the goals is doesn't matter what privileges you have, you can't change that policy. >> Does that eliminate the need for an air gap or would you not necessarily recommend, would you just have another layer of protection? What's your recommendation on that to customers? >> We always recommend multiple layers of protection, so for example, in our ZDLRA, we support, we offload tape backups directly from the appliance, so a great way to protect the data from any kind of thing is you put it on a tape, and guess what, once that tape drive is filed away, I don't care what cyber criminal you are, if you're remote, you can't access that data. So, we always promote multiple layers, multiple technologies to protect the data, and tape is a great way to do that. We can also now archive. In addition to tape, we can now archive to the public cloud, to our object storage servers. We can archive to what we call our ZFS appliance, which is a very low cost storage appliance, so there's a number of secondary archive copies that we offload and implement for customers. We make it very easy to do that. So, yeah, you want multiple layers of protection. >> Got it, okay, your tape is your ultimate air gap. ZDLRA is your low RPO device. You've got cloud kind of in the middle, maybe that's your cheap and deep solution, so you have some options. >> Juan: Yes. >> Okay, last question. Summarize the announcement, if you had to mention two or three takeaways from the X9M announcement for our audience today, what would you choose to share? >> I mean, it's pretty straightforward. It's the new generation. It's significantly faster for OLTP, for analytics, significantly better consolidation, more cost-effective. That's the big picture. Also there's a lot of software enhancements to make it better, improve the management, make it more usable, make it better disaster recovery. I talked about some of these cyber vault capabilities, so it's improved across all the dimensions and not in small ways, in big ways. We're talking 50% improvement, 80% improvements. That's a big change, and also we're keeping the price the same, so when you get a 50 or 80% improvement, we're not increasing the price to match that, so you're getting much better value as well. And that's pretty much what it is. It's the same product, even better. >> Well, I love this cadence that we're on. We love having you on these video exclusives. We have a lot of Oracle customers in our community, so we appreciate you giving us the inside scope on these announcements. Always a pleasure having you on theCUBE. >> Thanks for having me. It's always fun to be with you, Dave. >> All right, and thank you for watching. This is Dave Vellante for theCUBE, and we'll see you next time. (bright music)

(upbeat music) >> Okay, I'm back. I'm John Furrier with theCube. We're here in the middle of the action at Mobile World Congress at Cloud City is where the action is. Danielle Royston and Telco DR. Digital disruption here happening. This next interview I did with Casey Choi, the Executive Vice President at Samsung. I did this remotely. He couldn't be here in person. We wanted to bring him in for a conversation. I had a chance to record this with him. He talks about the intelligent Human Edge or Industry 4.0. It was about Edge computing, Samsung as a leader. Obviously we know what they do. They're part of this IOT revolution, Casey Choi, brilliant executive I really enjoyed my conversation. Take a listen. (upbeat music) Welcome to theCube's coverage of Mobile World Congress, 2021. I'm John Furrier host of theCube. We're here with Cube alumni, Casey Choi's Executive Vice President and GM of the Global Mobile B2B Team, Communications Team at Samsung. Casey, great to see you. Thank you for coming off for the special Remote Mobile World Congress. We're here in person, but also hybrid event. We got a lot of remote interviews. Thank you for taking the time to speak with me. >> John. Great to see you. Great as always to be with you and great to be at least here, virtually with the team and in Barcelona from WC. >> You know, in Samsung, we think about the edge. You are leading a team that's driving this innovation. We've talked in the past about Industry 4.0, but the innovation at the intelligent edge, human edge is a big part of it, with 5G. It's just another G, but it's not just another G you got to have a backbone. You got to have a back haul. You got to have an interconnection. You have commercial, not just consumer technology. So the edge is becoming both this human and device commercial environment. So the industry is quickly moving to this. You call it the 4.0 trend. What do you see happening? This is a clear change over the Telco is not what it used to be. Change is coming fast. A lot of disruption, what's your view? >> Yeah, I think we see a number of things done. And certainly from our perspective, which is, I think we've got somewhat of a unique view on this because of our huge focus really in consumer use and attitudes. And certainly it's been informed by what we've seen, what we've all collectively seen over the last year and a half or so, and are still seeing today. And I think one of the things that we're certainly experiencing is I think the edge is it's expanding further out. I think it's also getting more tightly coupled in many respects to the human factor. And it's not just a set of billions of discrete sensors anymore. And I think the evolution of our thinking around this has changed quite a bit from the IOT Version One variant of this. We put more of what I would call billions of these things, communicating all kinds of information, either to the cloud or the data centers and doing it in a very voluminous way. And what we're saying is with the advent of more the human to machine interface, and certainly the capabilities that we're saying both on the network and the device side, it's really redefining how we're thinking about edge. And certainly here at Samsung and with some of our partners, and we're starting to call this more of the intelligent human edge, where the human factor really begins to play a big role in how we're defining the Internet Of Things. And those things include really people. And this is how we're looking at it. >> I love the theme, the human edge, I think that's very relevant. I want to get a human aspect of here tied into the industry side, because as we emerge from the pandemic and move to a broader economic recovery, you see the psychology of the industry where cloud is one of the shining examples of what the pandemic highlighted cloud speed, cloud agility. And now you're seeing with openness in the Teleco industry, that cloud is coming in, open cloud interoperability. So coming out of the pandemic, cloud is the theme is driving an economic recovery, which is driving the psychology of we're back to real life, we're back to business, but it's not business as usual. The fashion is changing. The attitudes are changing. You mentioned that, and now the disruption of how cloud will be implemented. And it seems to be Telco is where these edge and cloud are just completely radically changing, what was once a kind of a slow moving Telco space. So how do you see the partnerships and coming out of the pandemic, some of the response of cloud impact, cloud technology, public cloud impact on this new Telcom? >> Yeah. Let me try to unpack that a little bit. I think we see two dimensions on this, certainly on the carrier side, the operator's side of the equation, we're certainly partnered with everybody across the globe on that. Certainly there's been a definitive impact around software defined everything, right? So, and this has been accelerated really by the standards that have started to develop around 5G. And even now there's a lot of discussion and I'm sure there'll be a lot of it around WMC about 6G and what is happening there. But I think with the advent of things like O-RAN for example, and some of the activity that we're seeing really around NEC type solutions and opportunities, the traditional role of the carrier and the operator is evolving and has to evolve, right? It is now much more aligned with the provision of these types of services that are very different from the type of data or voice services that we've seen in the past. So certainly we're seeing that transition. The second big transition is really around the notion of hybridity. Now we've been talking about this now in the industry for a while, but I think it's really starting to take firm root the idea of not only multiple clouds, but clouds that are deployed either on prem or certainly, available as a service in its various forms. So I think that combination along with the advances that we're seeing in the technology, and this was both on the connectivity side. So certainly around the ultra reliable, low latency communications, what we're seeing with things like slicing, for example, starting to take root as well as frankly, the devices themselves are getting that much more powerful and compact. This is what we're saying with SOC technologies is what we're seeing with the functions being moved more and more to on device capability. So I think about hybrid, I mean, in my past to think about it more as a small data center. How do you compact it, move it out to somewhere else. Now we're thinking about it more in terms of the type of processing capability that you can put really in the hands of the human or hands of the device. And at that point, you really start to get different use cases, start to emerge from that. So this is how we're thinking about this extension and what I'm talking about more as, an expansion on the edge, further out. >> I love is it splicing or slicing, what's the term? Slicing is the technology? >> Slicing, network slicing. >> Slicing, not splicing cable. >> Yeah. >> Slicing. >> Not splicing cable, no. >> Okay so this come up a lot, so splicing kind of points to this end to end, workflows. You look at some of the modern development, the frameworks of successful, you're seeing these multifunctional teams kind of having an end to end visibility into the modern application workflow from CIC pipeline, whatever. Now, if you take the concept of O-RAN you mentioned Open Radio Access Networks, this kind of brings up this idea of interoperability, because if you're going to have end to end and you add edge to it, you have to have the ability to watch something go end to end, but it's never been like that in the past because you had to traverse multiple networks. So this becomes kind of this hybrid a little bit deeper. Can you share how you see that and how Samsung's working with folks and how you guys are addressing this because you can be at the edge, but ultimately you've got to integrate. So you've got openness, you've got the idea of interoperability issues, and you ultimately have to move around and work with other networks, other clouds and other systems. This is not, it's not always like that. So can you share how this is evolving and how real this is and what is your view on it. >> Yeah, our thinking on this. I mean, let me start by maybe tackling this in a little bit of a different angle. One of the things that we see as one of the barriers around interoperability has really been more on the application side of the equation. And this is actually the third component in making all of this work. And let me just be very clear in what I'm saying here, I think in terms of mobile architectures and really Edge architectures, it has been one of the last bastions, if you will of closed architectures, there've been very much what I would call purpose-built architectures at the edge. Certainly that's been driven by things like the industrial side coming together with more of the commercial side of the equation, but we think it's time really to extend the interoperability of what we are seeing really on the IT side of the equation and really driven by cloud native. This was really in the area of containers. It's in the area of microservices, it's in the area of cloud native development. And if we're really talking about this, we really need to extend that interoperability from the application point of view on the data point of view, really to the end point. And this is where some of the work that we're doing, and we really embarked on in earnest last year with Red Hat and IBM, and with VMware for example, in really opening up that edge architecture to really the open source community, as well as really to the microservices architectures that we have now seen propagate down from the cloud into hybrid architecture. So this has been really one of the key focus areas for us. The network interoperability has really been driven by the standards that we've seen and that have been really adopted by the industry. And when it comes to, for example 5G standards. what we've been more focused on quite honestly, is the interoperability on the application and data side. And we think that by extending, if you will, that write once run many type concepts down into the edge and into the device, that this is going to open up really a wealth of opportunity for us on the application and on the data side. >> That's awesome, I love the openness, love the innovation you guys are doing. I think that's where the action is and that's where the growth is going to be. I do have to ask you how you see edge computing in the IOT era in terms of security. Are we more vulnerable because of it now? And how are you guys addressing the issue of security and data privacy at the edge? What's your opinion on that? What's Samsung doing? >> I mean, we just have to look at the news today, it's obvious that we are more vulnerable, right? There's no doubt that points of vulnerability are being exposed and they're probably being exposed in now industrial areas, right? Certainly with what we've seen, just even recently with some of the attacks that, that have occurred. So a couple of things there, number one, we are relying very heavily on our long history around establishing root of trust in kind of zero trust environments. We've had our Knox platform as an example, we just celebrated, in fact, our 10th year of the product. In fact, it was announced at MWC back about 10 years ago. So this is something that, that we're celebrating, it's an anniversary. Our belief on this is that we really need to ensure that we maintain a hardware-based route across when it comes to the edge. We can't only rely upon software protection at that layer. We can't naturally rely upon some of the network protections that are there. So, we've shipped about 3 billion devices with our Knox Security Suite over the last 10 years. And this is something that we're relying very heavily on. Not only for again, that hardware based root of process. So one of the key solutions, there's our Knox Vault product, which we just released a few months back. This is really a safe within a safe concept, really ensuring that the biometric password and other user data is protected. It's really what drives some of our strategy around making sure that we rely upon something that protects all of the back doors that are resident, not only at the software layer, but at the hardware layer as well. And then management is the other key piece of this, security without the ability of managing these thousands to millions of devices is really somewhat compromised. So we've extended a lot of our Knox management capability at our device level really to address some of those particular attributes, as well as these fleets become more prominent. And they start to take on workloads that are more critical to IOT type workloads. >> Casey, great to have you on. Your insight's awesome. Love what you're doing at Samsung. And again, you're a leader, you've been there, you've seen those cycles of innovation. I have to ask you my final question for you is a personal one and a professional one. The last Mobile World Congress was 2019. In person, last year was canceled a lot's happened in the industry since 20 something months ago. Now we're going to be in person, a lot of hybrid still remotely, but there'll be people in person. The world's changed. What is the big change in the Telco, Telco Cloud, Telco Edge, what's happened in these 20 plus months since the last Mobile World Congress that people should pay attention to? What's the most important thing in your mind? >> Most important? Thank God John. You're putting me on the spot here, right? I think it's wisdom to be quite honest with you. I mean, we've certainly all collectively learned a lot in terms of user patterns and what people need and want. And I hope to think that collective wisdom is going to be a key part of how we drive this going forward. And then if I can just pick one more, I would say re-invention, I think what we're starting to see is that coming out of, again from 2019 to what we're seeing now, we do see this opportunity reinventing and rethinking. And I think that's the difference. And the pace of that is going to really dictate how we look at this and how we collectively solve these challenges. So I hope to think we're wiser and that we're more imaginative coming out of this. And again after being in this industry for 30 years, we've not seen the types of things that we've seen over the last couple. So I hope to think that this is a pivot point for all of us. >> Well, Samsung is certainly a leader in many areas and great to see you on theCube here and the theme in your talks around intelligence, human edge innovation, open. This is a force that's happening. And I think the big change, as you said, the wisdom combined with a reinvention is happening and it's going to be very interesting ride, should be fun to work on. >> It will be John and I thank you for our friendship and our relationship over the years. It's always great to see you and to be with you. And again, we're very optimistic as we always have, coming out of this And again, thanks for the time and have a great MWC. >> You too, Casey Choi, Executive Vice President General Manager of the Global Mobile Business to Business Unit Commercial Unit at Samsung. This is theCube's coverage of Mobile World Congress. I'm John Furrier. Thanks for watching. Okay. We're back here. That was Casey Choi. Talk about wisdom, collective wisdom coming out of the pandemic. Great friend of theCube, great friend of the industry doing great work there. Casey Choi. Like we are doing here on the ground at Mobile World Congress in Cloud City, as well as Adam and the team in the studio. So back to you, Adam and team.

>> Voiceover: From around the globe, it's theCUBE with digital coverage of IBM Think 2021, brought to you by IBM. >> Hello and welcome back everyone to theCUBE's coverage of IBM Think 2021 virtual. I'm John Furrier, your host of theCUBE. I'm excited to have this next guest, CUBE alumni, K.C. Choi, Corporate EVP, Executive Vice President and General Manager at Samsung Mobile the B2B/B2G Team. K.C., great to see you, how you've been? >> John, it is wonderful to see you and it's been way too long. Great to be back on theCUBE with you looking forward to our conversation and I hope you're safe. >> Yeah and same to you. Great to see you, I'm so excited. One of the things I've really admired about you and our conversations in the past is you've always had your finger on the pulse of the waves and you're always involved with some really great engineering work. And I want to dig into this now because your role is really hitting the industry for that kind of wave which is the confluence of tech, media, entertainment, every vertical, big data, IOT and with the distributed computing now called the Cloud and edge. It really sets the table for what is now going to be the preferred architecture probably for the next 20 plus years. So give us your view on how you see the changing landscape in the industry. >> Yeah, I think you covered all of the major seismic shifts that are happening here. And then as we've all experienced over the last, over a year with the COVID pandemic, that's actually accelerated a lot of the thinking around edge. We've certainly seen news cases proliferate whether it be in things such as healthcare, manufacturing's also taken I think, a real hard look at the applicability of these types of solutions. We've seen things like, for example 5G pickup in these industrial applications as the industrial companies have thought about worker safety, as they've thought about automation, as they thought about utilizing more protocols, as well as bringing these technologies and processes together in a way that will help to reinvent their particular economic base, as well as the learnings that we've seen over the last year, coming from these new safety protocols as well as the need for now with the economies is picking back up, the need for productivity, as well as greater efficiencies coming from these types of solutions. So we've seen that confluence happen. And then certainly on our end, as our network connectivity has become much stronger, lower latency, as well as the endpoint capabilities have increased dramatically over the last few years, as SOC and others have taken root, we've seen the edge, if you will, start be more extreme, in the sense that it's pushing further and further out beyond what we originally envisioned the edge to be. >> And the SOC trend actually highlights that it's not so much about Moore's law as it is more about more chips, more performance. If you look at actual performance, Dave Vellante just put out a report on this, where there's actually more performance now than ever before coming in from the combined energy and combined processing power out there. So it's super, super amazing what you can do at the edge. Before we get into the edge, I want to just clarify what is your new role there? I mean, Samsung is known for obviously the B2C with the phones and everything else, but you have a specific focus, what is your main focus there? >> Yeah, our mission's pretty straightforward. And as everyone knows, Samsung is a powerhouse consumer electronics company. We pride ourselves in obviously our position in that, but we also have a very significant role really in the business to business and in the government and financial services sector space with our mobile devices, as well as with our Knox security platform solution and device management platform. We actually provide a large portion of the security devices for governments worldwide as well as the Knox platform that is built into the majority of our, both, consumer as well as business devices that really allows for that, if you will, that next protective layer on top of the Android OS that allows for things such as, personal and professional profiles. So we produce those solutions out of my team as well as we provide really the go-to-market support, as well as the RnD support for that platform, including an area that's growing rapidly for us which is in the rugged category, which is one of the key products that we're using for some of these edge applications that we'll be talking about. >> Great, let's jump into that. What are you guys doing specifically in the edge computing space? Let's dig into it. >> Yeah, I think maybe the place to start on that is we're really reenvisioning what the edge is. And I mentioned a little earlier that with what's occurring in the performance profile and really the functional profile, what is being produced at the device level. We're talking about in the last few years, the fidelity and the capabilities are in, what I would call the computer class type functions, as well as obviously mobile devices have always been communication gateways for a number of functions, whether they be videos or photos. They're multisensory in nature. And as this has become more practical and the connective tissue has gotten there with 5G as well as all kinds of other fast low latency communications capabilities and Wi-Fi 6, UWB, included within that. What we're finding is that the use case to bring applications especially cloud native and container native applications to these devices to be augmenting the endpoint user, the frontline worker, really the knowledge worker and moving that capability further away from, if you will, an extension to cloud services as well as MEC type services, this is where we see it going. And really what we're trying to work on with IBM and with Red Hat is how do we continue to fortify this, not only from an actual processing AI/ML capability, but also equip these devices so that they can fully participate as part of a multi-hybrid cloud architecture. The endpoint is really one of the last bastions where we have not conquered bringing cloud first container native applications really to that point. And we believe the time is right because of the capabilities that are there along with, again, the connectivity that is becoming much more ubiquitous now to allow for that type of architecture to exist. And we're starting to call this the intelligent human edge as well. We think that the applications that we'll see for this are ones that will make the human operator more productive, safer, certainly more efficient. And we think that this augmentation of that frontline worker is an area that we are, put our stakes on in terms of pioneering, just because of again, our experience in that mobility space and in that consumer space. >> That's great you brought up Red Hat and IBM. Obviously Red Hat was bought by IBM. Arvin, the CEO who I interviewed in 2019 in theCUBE at Red Hat summit, ironically, a couple months later, buys the company and a smile on his face. He likes cloud. >> K.C.: Maybe you had something to do with that, John. >> No, he wanted to, I could see he wanted to say it, but he loves the cloud. Everyone who knows Arvin knows that he's into the cloud in a new way. And this edge piece that you mentioned that you're using Red Hat and IBM for hybrid, this is what the new operating system is going to look like. It's a completely distributed system and the edge is just part of that operating model. This is what their vision is, which I love by the way. I think that redefines what that is. Are you saying that you guys are working with Red Hat and IBM for that hybrid edge piece? How does that work? Can you take me through that? >> Yeah, that's exactly right. I mean, obviously the ecosystem is bigger than that, but IBM and Red Hat really bring the expertise really around container ecosystems, certainly the work that they have done in terms a multi hybrid cloud, certainly the work that OpenShift has brought forward in terms of, you know, multi-platform capability. We really love the concept of develop bonds run, any sort of a construct. And when you think about it, the mobile platforms specifically, you know, ours, as well as others, has really been that last baskin of areas where more of the development is on a particular platform, it's more bespoke. We think that by broaching this, you know in conjunction with IBM and Red Hat this is going to give us the ability to have these device architectures become a full voting member, if you will, of that hybrid cloud architecture and of that microservice container architecture that is becoming much more prevalent. So this is really the work that we're doing. And then obviously we're working at a vertical level to see where are the applicable use cases in places such as the design studio we have in Singapore, where with the Singaporean government we're looking at really bringing a Renaissance to industry 4.0 type applications, smart factory automation, public safety, these areas where we believe that this type of architecture can be deployed. >> That's awesome. And I totally believe that, you know the edge is still going to be pushed farther and further out, honestly, having that open standards of hybrid. So I got to ask you, on the edge just while I got you here, you know, one of the things that you see clearly as the industrial edge, it's called, factories and whatnot. You've mentioned some of those. And then you've got the human piece, which is like people have phones and wearables and other things are going to be happening. So as you start to have those end points, which are then going to be connected into a distributed network, AKA a hybrid cloud, soon to be multiple clouds. But that's the sub system within the cloud construct. The complaint has been, not complaint, but the observation has been and complaint, if you look at it that the edge is limited by power and connectivity, okay. These are like key basic concepts. How is the connectivity option? I know 5G is coming, it's here, we're seeing it being deployed. We got people saying, hey, this is our business application. Clearly got higher throughput, not as much range. Give us your take on this because this becomes important, obviously, power is battery that is driven, it's getting better and better and power is not really that much of a problem, but connectivity seems to be, what's your vision of this? >> Yeah and you know, there's a lot of ways to approach that. I will tell you on the industrial side, at least in some of the deployments and PLCs that we've been involved in over the last a year or two years, connectivity is an issue. And a lot of it has to do with the infrastructure that is available in many of these plants or factories, or points of distribution, they're not necessarily leading edge, in many cases we're dealing with what I would call sub par connectivity. It's not like an office complex where you may have state-of-the-art Wi-Fi capability or 10 gig capability or whatever it might be. So what we've found on that is it requires actually quite a bit of work, in terms of fine tuning, both, on the the network infrastructure side, whatever that might be or we've also found that on the device side, the programmability of the of the device, in terms of tuning it for whatever connective environment would be there. And we've worked with everything from, you know, Bluetooth, UWB to Wi-Fi 6 and everything in between and in many cases or multiple protocols or connectivity methods that are there. So, you know, one thing we've learned is that you can't necessarily assume that in a, especially in a factory environment that those conditions are going to allow for consistency. So you have to engineer around that, you know, in some of the things that we've done are really around making sure that we've got deployable programmability at the device as well as board dynamic network tuning capabilities that will allow for better connectivity and to handle things such as consistency. >> All right, K.C., great insight. Final question for you, why Samsung and IBM? What's the bottom line? >> Yeah, I think the bottom line is really straightforward. I mean, we've had a 30 year history of working together, you know, we've been mutual customers to each other. We do a lot of work for IBM, in regards to foundry type services and semiconductor services. And that we work very closely with them over many years on applications. So number one, there's been a natural relationship, just in the services that we provided to each other. But as we look at really the go-to-market, I mean, IBM brings so much credibility from a vertical market perspective. There's a trusted advisor type status that I think is a very profound and it's been built over many years, you know, delivering on the promises. And on our end, I think what we bring is really this cycle time that is driven by our passion in the consumer space. And when we start to apply that into more of these vertical industrial, you know, vertical sectors, I think that combination is very powerful. The services piece obviously comes into play with IBM. And then really, the Red Hat piece of this really just puts the icing on the cake with really the the market leadership in hybrid cloud and in the container native architecture, so it's just a very powerful combo and the cooperation there has been strong and we continue to look forward to delivering more through that partnership. >> K.C., great to see you, great thing to hear. You know, you got scalable infrastructure, you got modern applications, got the edge, all hybrid. Great partnership. K.C. Choi, Corporate Executive Vice President and General Manager of Samsung Mobile B2B Team. Great to see you and congratulations on your mission and it's an exciting project. Thanks for coming on theCUBE and sharing. >> Great to see you, John, take care of yourself and looking forward to seeing you again. >> Okay, this is theCUBE's coverage IBM Think 2021. I'm John Furrier, your host of theCUBE. Thanks for watching. (soft upbeat music) (melodious music)

>>mhm Yes. Hello and welcome back to the cubes coverage of red hat summit 2021 virtual. I'm john for your host of the cube and cube coverage here with matt Hicks. Executive vice president of products and technologies at red hat cuba lum I've been on many times, knows the engineering side now running all the process of technologies matt. Great to see you. Thanks for coming on remote. I wish we were in real real life in person. I RL but doing it remote again. Thanks for coming on. >>Hey, thanks thanks for having me today. >>Hey, so what a year you know, um, I was just talking to a friend and another interview with the red hat colleagues. Chef on your team in 2019 I interviewed Arvin at IBM right before he bought red hat and you smile on his face and he wasn't even ceo then um, he is such a big fan of cloud native and you guys have been the engine underneath the hood if you will of IBM this transformation huge push now and with Covid and now with the visibility of the post Covid, you're seeing cloud Native at scale with modern applications just highly accelerated across the board In almost every industry, every vertical. This is a very key trend. You guys at the, at the center of it always have been, we've been covering you for many years, interesting time and so now you guys are really got the, got the formula at red hat, take us through the key transit you see on this wave for enterprises and how is red hat taking that, taking that through? >>Yeah, no, absolutely. It has been, it's been a great ride actually. I remember a couple years ago standing on stage with Arvin prior to the acquisition. So it's been uh, it's been a world one but I think if we look at Really would emerge in 2020, we've seen three trends that we hope we're gonna carry through in 2021 just in a better and better year for that. That the first is open hybrid cloud is really how customers are looking to adapt to change. They have to use what they have um assets they have today. On premise, we're seeing a lot of public cloud adoption that blend of being hybrid is just, it is a reality for how customers are having to deliver a edge computing I think is another area I would say uh the trend is really not going to be a fad or a new, you know, great texture. Um the capabilities of computing at the edge, whether that is automotive vehicles, radio access network capabilities to five G. It's pretty astounding at this point. So I think we're gonna see a lot of pushing edge computing for computing, getting closer to users. Uh but then also the choice aspect we're seeing with Ceos, we often talk about technology is choice, but I think the model of how they want to consume technology has been another really strong trend in 2020. Uh We look at this really is being able to deliver a cloud managed services in addition to technology that ceos around themselves. But those, those will probably be the three that stand out to me at least in 2020 we've seen, >>so matt take us through in your minds and red hats, perspective the workloads that are going to be highlighted in this cloud native surge that's happening. We're seeing it everywhere. You mentioned edge industrial edge to consumer Edge to lightweight, edge, massive new workloads. So take us through how you see kind of the existing workloads evolving and potentially new workloads that emerging. >>Yeah. So I think um you know first when you talk about edge workloads a big umbrella but if you look at data driven workloads, especially in the machine learning artificial intelligence spectrum of that, that's really critical. And a reason that those workloads are important is five G. Aside for now when you're running something at the edge you have to also be able to make decisions pretty well at the edge. And that that is that's where your data is being generated and the ability to act on that closely. Whether that's executing machine learning models or being able to do more than that with A I. That's going to be a really really critical workload. Uh huh. Coupled to that, we will see I think five G. Change that because you're going to see more blending in terms of what can you draw back to uh closer to your data center to augment that. So five G will shift how that's built but data driven workloads are going to be huge then I think another area will see is how you propagate that data through environment. Some Kafka has been a really popular technology will actually be launching a service in relation to that. But being able to get that data at the edge and bring it back to locations where you might do more traditional processing, that's going to be another really key space. Um and then we'll still have to be honest, there is still a tremendous amount of work loads out there that just aren't going to get rebuilt. And So being able to figure out how can you make them a little more cloud native? You know, the things your companies have run on for the last 20 years, being able to step them closer to cloud native, I think it's going to be another critical focus because he can't just rewrite them all in one phase and you can't leave them there as well. So being able to bridge shadow B T to >>what's interesting if folks following red hat, No, no, you guys certainly at the tech chops you guys have great product engineering staff been doing this for a long time. I mean the common Lennox platform that even the new generation probably have to leave it load limits on the server anymore. You guys have been doing this hybrid environment in I T for I T Sloan for decades. Okay. In the open, so, you know, it's servers, virtualization, you know, private, public cloud infrastructures and it's been around, we've been covering it in depth as you know, but that's been, that's a history. But as you go from a common Lennox platform into things with kubernetes as new technologies and this new abstraction layers, new control plane concept comes to the table. This need for a fully open platform seems to be a hot trend this year. >>How do you >>describe that? Can you take a minute to explain what this is, this is all about this new abstraction, this new control plane or this open hybrid cloud as you're calling? What is this about? What does it mean? >>Yeah, no, I'll do a little journey that she talked about. Yeah. This has been our approach for almost a decade at this point. And it started, if you look at our approach with Lennox and this was before public clouds use migrants existed. We still with Lennox tried to span bare metal and virtualized environments and then eventually private and public cloud infrastructure as well. And our goal there was you want to be able to invest in something, um, and in our world that's something that's also open as in Lennox but be able to run it anywhere. That's expanded quite a bit. That was good for a class of applications that really got it started. That's expanded now to kubernetes, for example, kubernetes is taking that from single machines to cluster wide deployments and it's really giving you that secure, flexible, fast innovation backbone for cloud native computing. And the balance there is just not for cloud native, we've got to be able to run traditional emerging workloads and our goal is let those things run wherever rail can. So you're really, you're based on open technologies, you can run them wherever you have resources to run. And then I think the third part of this for us is uh, having that choice and ability to run anywhere but not being able to manage. It can lead to chaos or sprawl and so our investments in our management portfolio and this is from insights the redhead advanced cluster management to our cluster security capabilities or answerable. Our focus has been securing, managing and monitoring those environments so you can have a lot of them, you can run where you want, but she just sort of treat it as one thing. So you are our vision, how we've executed up to this point has really been centered around that. I think going forward where you'll see us um really try to focus is, you know, first you heard paul announced earlier that we're donating more than half a billion dollars to open. I would cloud research and part of this reason is uh running services. Cloud native services is changing. And that research element of open source is incredibly powerful. We want to make sure that's continuing but we're also going to evolve our portfolio to support this same drive a couple areas. I would call out, we're launching redhead open shift platform plus and I talked about that combination from rail to open shift to being able to manage it. We're really putting that in one package. So you have the advanced management. So if you have a huge suites of cloud native real estate there, you can manage that. And it also pushes security earlier into the application, build workflows. This is tied to some of our technology is bolstered by the stack rocks acquisition that we did. Being able to bring that in one product offering I think is really key to address security and management side. Uh we've also expanded Redhead insights beyond Rehl to include open shift and answerable and this is really targeted it. How do we make this easier? How do we let customers lean on our expertise? Not just for Lennox as a service, but expand that to all of the things you'll use in a hybrid cloud. And then of course we're going to keep pushing Lennox innovation, you'll see this with the latest version of red hat enterprise, like so we're gonna push barriers, lower barriers to entry. Uh But we're also going to be the innovation catalyst for new directions include things like edge computing. So hopefully that sort of helps in terms of where, where we started when it was just Lennox and then all the other pieces were bringing to the table and why and some new areas. Uh We're launching our investment going forward. >>Yeah, great, that's great overview. Thanks for taking the time to do that. I think one of the areas I that's jumping out at me is the uh, advanced cluster management work you guys are doing saw that with the security peace and also red hat insights I think is is another key one and you get to read that edge. But on the inside you mentioned at the top of this interview, data workloads pretty much being, I mean that pretty much everything, much more of an emphasis on data. Um, data in general but also, you know, serve abilities a hot area. You know, you guys run operating system so you know, in operating systems you need to have the data, understand what's being instrumented. You gotta know that you've got to have things instrument and now more than ever having the data is critical. So take us through your vision of insights and how that translates. Because he said mentions in answerable you're seeing a lot more innovations because Okay I got provisions everything that's great. Cloud and hybrid clouds. Good. Okay thumbs up everyone check the box and then all of a sudden day too As they call day two operations stuff starts to, you know, Get getting hairy, they start to break. Maybe some things are happening. So day two is essentially the ongoing operational stability of cloud native. You need insights, you need the data. If you don't have the data, you don't even know what's going on. You can't apply machine learning. It's kind of you if you don't get that flywheel going, you could be in trouble. Take me through your vision of data driven insights. >>Yeah. So I think it's it's two aspects. If you go to these traditional traditional sport models, we don't have a lot of insight until there's an issue and I'm always amazed by what our teams can understand fix, get customers through those and I think that's a lot of the success red hats had at the same note, we want to make that better where if you look at real as an example, if we fixed an issue for any customer on the planet of which we fix a lot in the support area, we can know whether you're going to hit that same issue or not in a lot of cases and so that linkage to be able to understand environments better. We can be very proactive of not just hey apply all the updates but without this one update, you risk a kernel panic, we know your environment, we see it, this is going to keep you out of that area. The second challenge with this is when things go do break or um are failing the ability to get that data. We want that to be the cleanest handshake possible. We don't want to. Those are always stressful times anyway for customers being able to get logs, get access so that our engineering knowledge, we can fix it. That's another key part. Uh when you extend this to environments like open shift things are changing faster than humans can respond in it. And so those traditional flows can really start to get strained or broken broken down with it. So when we have connected open shift clusters, our engineering teams can not only proactively monitor those because we know cooper net is really well. We understand operators really well. Uh we can get ahead of those issues and then use our support teams and capabilities to keep things from breaking. That's really our goals. Finding that balance where uh we're using our expertise in building the software to help customers stay stable instead of just being in a response mode when things break >>awesome. I think it's totally right on the money and data is critical in all this. I think the trust of having that partnership to know that this pattern recognition is gonna be applied from the environment and that's been hurting the cybersecurity market people. That's the biggest discussion I had with my friends and cyber is they don't share the data when they do, things are pretty obvious. Um, so that's good stuff there and then obviously notifications proactive before there's a cause or failure. Uh great stuff. This brings up a point that paul come here, said earlier, I want to get your reaction to this. He said every C. I. O. Is now a cloud operator. >>That's a pretty bold >>statement. I mean, that's simply means that it's all cloud all the time. You know? Again, we've been saying this on the queue for many years, cloud first, whatever people want to call it, >>what does that actually >>mean? Cloud operator, does that just mean everything's hybrid? Everything's multiple. Cloud. Take me through an unpacked what that actually means? >>Yeah. So I think for the C I O for a lot of times it was largely a technology choice. So that was sort of a choice available to them. And especially if you look at what public clouds have introduced, it's not just technology choice. You're not just picking Kafka anymore. For example, you really get to make the choice of do I want to differentiate my business by running it myself or is this just technology I want to consume and I'm going to consume a cloud, native service and other challenges come with that. It's an infrastructure, not in your control, but when you think about a ceo of the the axes they're making decisions on, there are more capabilities now and I think this is really crucial to let the C i O hone in on where they want to specialist, what do they want to consume, what do they really want to understand, differentiate and Ron? Um and to support this actually, so we're in this vein, we're going to be launching three new managed cloud services and our our focus is always going to be hybrid in these uh but we understand the importance of having managed cloud services that red hat is running not the customers in this case. So one of those will be red hat open shift streams for Patrick Kafka. We've talked about that, that data connectivity and the importance of it and really being able to connect apps across clouds across data centers using Kafka without having to push developers to really specialize in running. It is critical because that is your hybrid data, it's going to be generated on prim, it's going to be generated the edge, you need to be able to get access to it. The next challenge for us is once you have that data, what do you do with it? And we're launching a red hat open shift data science cloud service and this is going to be optimized for understanding the data that's brought in by streams. This doesn't matter whether it's an Ai service or business intelligence process and in this case you're going to see us leverage our ecosystem quite a bit because that last mile of AI workloads or models will often be completed with partners. But this is a really foundational service for us to get data in and then bring that into a workflow where you can understand it and then the last one for us is that red hat open shift api management and you can think of this is really the overseer of how apps are going to talk to services and these environments are complex, their dynamic and being able to provide that oversight up. How should my apps be consuming all these a. P. S, how should they be talking? How do I want to control? Um and understand that is really critical. So we're launching these, these three and it fits in that cloud operator use, we want to give three options where you might want to use Kafka and three Scale technologies and open data hub, which was the basis of open shift data sides, but you might not want to specialize in running them so we can run those for you and give you as a C. I. O. That choice of where you want to invest in running versus just using it. >>All right, we're here with matt Hicks whose executive vice president prospect technology at red hat, matt, your leader at red hat now part of IBM and continues to operate um in the red hat spirit, uh innovating out in the open, people are wearing their red hat uh hoodies, which has been great to see. Um I ask every executive this question because I really want to get the industry perspective on this. Um you know, necessity is the mother of invention as the saying goes and, you know, this pandemic was a challenge for many In 2020. And then as we're in 2021, some say that even in the fall we're gonna start to see a light at the end of the tunnel and then maybe back to real life in 2022. This has opened up huge visibility for CSOS and leaders and business in the enterprise to say, Hey, what's working, what do we need? We didn't prepare for everyone to be working at home. These were great challenges in 2020. Um, and and these will fuel the next innovations and achievements going forward. Um again necessity is the mother of all invention. Some projects are gonna be renewed and double down on some probably won't be as hybrid clouds and as open source continues to power through this, there's lessons to be learned, share your view on what um leaders in in business can do coming out of the pandemic to have a growth strategy and what can we learn from this pandemic from innovation and and how open source can power through this adversity. >>Yeah. You know, I think For as many challenging events we had in 2020, I think for myself at least, it it also made me realize what companies including ourselves can accomplish if we're really focused on that if we don't constrain our thinking too much, we saw projects that were supposed to take customers 18 months that they were finishing in weeks on it because that was what was required to survive. So I think part of it is um, 2020 broke a lot of complacency for us. We have to innovate to be able to put ourselves in a growth position. I hope that carries into 2021 that drives that urgency. When we look at open source technologies. I think the flexibility that it provides has been something that a lot of companies have needed in this. And that's whether it could be they're having to contract or expand and really having that moment of did the architectural choices, technology choices, will they let me respond in the way I need? Uh, I'm biased. But first I think open models, open source development Is the best basis to build. That gives you that flexibility. Um, and honestly, I am an optimist, but I look at 2021, I'm like, I'm excited to see what customers build on sort of the next wave of open innovation. I think his life sort of gets back to normal and we keep that driving innovation and people are able to collaborate more. I hope we'll see a explosion of innovation that comes out and I hope customers see the benefit of doing that on a open hybrid cloud model. >>No better time now than before. All the things are really kind of teed up and lined up to provide that innovation. Uh, great to have you on the cube. Take a quick second to explain to the folks watching in the community What is red hat 2021 about this year? And red hat someone, I'll see. We're virtual and we're gonna be back in a real life soon for the next event. What's the big takeaway this year for the red hat community and the community at large for red hat in context of the market? >>You know, I think redhead, you'll keep seeing us push open source based innovation. There's some really exciting spaces, whether that is getting closer and closer towards edge, which opens up incredible opportunities or providing that choice, even down to consumption model like cloud managed services. And it's in that drive to let customers have the tools to build the next incredible innovations for him. So, And that's what summit 2021 is going to be about for us, >>awesome And congratulations to, to the entire team for the donation to the academic community, Open cloud initiative. And these things are doing to promote this next generation of SRS and large cloud scale operators and developers. So congratulations on that props. >>Thanks john. >>Okay. Matt Hicks, executive vice president of products and technology. That red hat here on the Cube Cube coverage of red hat 2021 virtual. I'm John Ferrier. Thanks for watching. Yeah.

(melodious music) >> Voiceover: From around the globe, it's theCUBE with digital coverage of IBM Think 2021, brought to you by IBM. >> Hello and welcome back everyone to theCUBE's coverage of IBM Think 2021 virtual. I'm John Furrier, your host of theCUBE. I'm excited to have this next guest, CUBE alumni, K.C. Choi, Corporate EVP, Executive Vice President and General Manager at Samsung Mobile the B2B/B2G Team. K.C., great to see you, how you've been? >> John, it is wonderful to see you and it's been way too long. Great to be back on theCUBE with you looking forward to our conversation and I hope you're safe. >> Yeah and same to you. Great to see you, I'm so excited. One of the things I've really admired about you and our conversations in the past is you've always had your finger on the pulse of the waves and you're always involved with some really great engineering work. And I want to dig into this now because your role is really hitting the industry for that kind of wave which is the confluence of tech, media, entertainment, every vertical, big data, IOT and with the distributed computing now called the Cloud and edge. It really sets the table for what is now going to be the preferred architecture probably for the next 20 plus years. So give us your view on how you see the changing landscape in the industry. >> Yeah, I think you covered all of the major seismic shifts that are happening here. And then as we've all experienced over the last, over a year with the COVID pandemic, that's actually accelerated a lot of the thinking around edge. We've certainly seen news cases proliferate whether it be in things such as healthcare, manufacturing's also taken I think, a real hard look at the applicability of these types of solutions. We've seen things like, for example 5G pickup in these industrial applications as the industrial companies have thought about worker safety, as they've thought about automation, as they thought about utilizing more protocols, as well as bringing these technologies and processes together in a way that will help to reinvent their particular economic base, as well as the learnings that we've seen over the last year, coming from these new safety protocols as well as the need for now with the economies is picking back up, the need for productivity, as well as greater efficiencies coming from these types of solutions. So we've seen that confluence happen. And then certainly on our end, as our network connectivity has become much stronger, lower latency, as well as the endpoint capabilities have increased dramatically over the last few years, as SOC and others have taken root, we've seen the edge, if you will, start be more extreme, in the sense that it's pushing further and further out beyond what we originally envisioned the edge to be. >> And the SOC trend actually highlights that it's not so much about Moore's law as it is more about more chips, more performance. If you look at actual performance, Dave Vellante just put out a report on this, where there's actually more performance now than ever before coming in from the combined energy and combined processing power out there. So it's super, super amazing what you can do at the edge. Before we get into the edge, I want to just clarify what is your new role there? I mean, Samsung is known for obviously the B2C with the phones and everything else, but you have a specific focus, what is your main focus there? >> Yeah, our mission's pretty straightforward. And as everyone knows, Samsung is a powerhouse consumer electronics company. We pride ourselves in obviously our position in that, but we also have a very significant role really in the business to business and in the government and financial services sector space with our mobile devices, as well as with our Knox security platform solution and device management platform. We actually provide a large portion of the security devices for governments worldwide as well as the Knox platform that is built into the majority of our, both, consumer as well as business devices that really allows for that, if you will, that next protective layer on top of the Android OS that allows for things such as, personal and professional profiles. So we produce those solutions out of my team as well as we provide really the go-to-market support, as well as the RnD support for that platform, including an area that's growing rapidly for us which is in the rugged category, which is one of the key products that we're using for some of these edge applications that we'll be talking about. >> Great, let's jump into that. What are you guys doing specifically in the edge computing space? Let's dig into it. >> Yeah, I think maybe the place to start on that is we're really reinvisioning what the edge is. And I mentioned a little earlier that with what's occurring in the performance profile and really the functional profile, what is being produced at the device level. We're talking about in the last few years, the fidelity and the capabilities are in, what I would call the computer class type functions, as well as obviously mobile devices have always been communication gateways for a number of functions, whether they be videos or photos. They're multisensory in nature. And as this has become more practical and the connective tissue has gotten there with 5G as well as all kinds of other fast low latency communications capabilities and Wi-Fi 6, UWB, included within that. What we're finding is that the used case to bring applications especially cloud native and container native applications to these devices to be augmenting the endpoint user, the frontline worker, really the knowledge worker and moving that capability further away from, if you will, an extension to cloud services as well as MEC type services, this is where we see it going. And really what we're trying to work on with IBM and with Red Hat is how do we continue to fortify this, not only from an actual processing AI ML capability, but also equip these devices so that they can fully participate as part of a multi hybrid cloud architecture. The endpoint is really one of the last baskins where we have not conquered bringing cloud first container native applications really to that point. And we believe the time is right because of the capabilities that are there along with, again, the connectivity that is becoming much more ubiquitous now to allow for that type of architecture to exist. And we're starting to call this the intelligent human edge as well. We think that the applications that we'll see for this are ones that will make the human operator more productive, safer, certainly more efficient. And we think that this augmentation of that frontline worker is an area that we are, put our stakes on in terms of pioneering, just because of again, our experience in that mobility space and in that consumer space. >> That's great you brought up Red Hat and IBM. Obviously Red Hat was bought by IBM. Arvin, the CEO who I interviewed in 2019 in theCUBE at Red Hat summit, ironically, a couple months later, buys the company and a smile on his face. He likes cloud. >> K.C.: Maybe you had something to do with that, John. >> No, he wanted to, I could see he wanted to say it, but he loves the cloud. Everyone who knows Arvin knows that he's into the cloud in a new way. And this edge piece that you mentioned that you're using Red Hat and IBM for hybrid, this is what the new operating system is going to look like. It's a completely distributed system and the edge is just part of that operating model. This is what their vision is, which I love by the way. I think that redefines what that is. Are you saying that you guys are working with Red Hat and IBM for that hybrid edge piece? How does that work? Can you take me through that? >> Yeah, that's exactly right. I mean, obviously the ecosystem is bigger than that, but IBM and Red Hat really bring the expertise really around container ecosystems, certainly the work that they have done in terms a multi hybrid cloud, certainly the work that OpenShift has brought forward in terms of, you know, multi-platform capability. We really love the concept of develop bonds run, any sort of a construct. And when you think about it, the mobile platforms specifically, you know, ours, as well as others, has really been that last baskin of areas where more of the development is on a particular platform, it's more bespoke. We think that by broaching this, you know in conjunction with IBM and Red Hat this is going to give us the ability to have these device architectures become a full voting member, if you will, of that hybrid cloud architecture and of that microservice container architecture that is becoming much more prevalent. So this is really the work that we're doing. And then obviously we're working at a vertical level to see where are the applicable use cases in places such as the design studio we have in Singapore, where with the Singaporean government we're looking at really bringing a Renaissance to industry 4.0 type applications, smart factory automation, public safety, these areas where we believe that this type of architecture can be deployed. >> That's awesome. And I totally believe that, you know the edge is still going to be pushed farther and further out, honestly, having that open standards of hybrid. So I got to ask you, on the edge just while I got you here, you know, one of the things that you see clearly as the industrial edge, it's called, factories and whatnot. You've mentioned some of those. And then you've got the human piece, which is like people have phones and wearables and other things are going to be happening. So as you start to have those end points, which are then going to be connected into a distributed network, AKA a hybrid cloud, soon to be multiple clouds. But that's the sub system within the cloud construct. The complaint has been, not complaint, but the observation has been and complaint, if you look at it that the edge is limited by power and connectivity, okay. These are like key basic concepts. How is the connectivity option? I know 5G is coming, it's here, we're seeing it being deployed. We got people saying, hey, this is our business application. Clearly got higher throughput, not as much range. Give us your take on this because this becomes important, obviously, power is battery that is driven, it's getting better and better and power is not really that much of a problem, but connectivity seems to be, what's your vision of this? >> Yeah and you know, there's a lot of ways to approach that. I will tell you on the industrial side, at least in some of the deployments and PLCs that we've been involved in over the last a year or two years, connectivity is an issue. And a lot of it has to do with the infrastructure that is available in many of these plants or factories, or points of distribution, they're not necessarily leading edge, in many cases we're dealing with what I would call sub par connectivity. It's not like an office complex where you may have state-of-the-art Wi-Fi capability or 10 gig capability or whatever it might be. So what we've found on that is it requires actually quite a bit of work, in terms of fine tuning, both, on the the network infrastructure side, whatever that might be or we've also found that on the device side, the programmability of the of the device, in terms of tuning it for whatever connective environment would be there. And we've worked with everything from, you know, Bluetooth, UWB to Wi-Fi 6 and everything in between and in many cases or multiple protocols or connectivity methods that are there. So, you know, one thing we've learned is that you can't necessarily assume that in a, especially in a factory environment that those conditions are going to allow for consistency. So you have to engineer around that, you know, in some of the things that we've done are really around making sure that we've got deployable programmability at the device as well as board dynamic network tuning capabilities that will allow for better connectivity and to handle things such as consistency. >> All right, K.C., great insight. Final question for you, why Samsung and IBM? What's the bottom line? >> Yeah, I think the bottom line is really straightforward. I mean, we've had a 30 year history of working together, you know, we've been mutual customers to each other. We do a lot of work for IBM, in regards to foundry type services and semiconductor services. And that we work very closely with them over many years on applications. So number one, there's been a natural relationship, just in the services that we provided to each other. But as we look at really the go-to-market, I mean, IBM brings so much credibility from a vertical market perspective. There's a trusted advisor type status that I think is a very profound and it's been built over many years, you know, delivering on the promises. And on our end, I think what we bring is really this cycle time that is driven by our passion in the consumer space. And when we start to apply that into more of these vertical industrial, you know, vertical sectors, I think that combination is very powerful. The services piece obviously comes into play with IBM. And then really, the Red Hat piece of this really just puts the icing on the cake with really the the market leadership in hybrid cloud and in the container native architecture, so it's just a very powerful combo and the cooperation there has been strong and we continue to look forward to delivering more through that partnership. >> K.C., great to see you, great thing to hear. You know, you got scalable infrastructure, you got modern applications, got the edge, all hybrid. Great partnership. K.C. Choi, Corporate Executive Vice President and General Manager of Samsung Mobile B2B Team. Great to see you and congratulations on your mission and it's an exciting project. Thanks for coming on theCUBE and sharing. >> Great to see you, John, take care of yourself and looking forward to seeing you again. >> Okay, this is theCUBE's coverage IBM Think 2021. I'm John Furrier, your host of theCUBE. Thanks for watching. (soft upbeat music) (melodious music)

>>from around >>The globe. It's the cube with digital coverage of IBM. Think 2021 brought to you by IBM Hello and welcome back everyone to the cubes coverage of IBM Think 2021 virtual. I'm john for your host of the cube. I'm excited to have this next guest cube alumni Casey choi corporate E V P. Executive vice president and general manager at Samsung Mobile, the B to B and B to G team Casey, great to see you how you been >>john it is wonderful to see you and it's been way too long. Great to be back on the cube with you. Looking forward to our conversation and hope you're safe >>and same to you. Great to see you. I'm so excited. One of the things I've really admired about you and our conversations in the past as you've always had your finger on the pulse of the waves and you've always involved with some really great engineering work and I want to dig into this now because um your role is really hitting the industry four dot oh kind of wave, which is the confluence of tech, media, entertainment, every vertical big data IOT and the the with the distributed computing now called the cloud and edge. It really sets the table for what is now going to be the preferred architecture probably for the next 20 plus years. So give us your view on how you see the the changing landscape in the industry. >>Yeah, I think I think you you covered you know, all of the major seismic shifts that are happening here and then, you know, as we've all experienced over the last, you know, over a year with the covid pandemic, that's actually accelerated a lot of the thinking around the edge. We've certainly seen use cases proliferate whether it be in things such as health care, Manufacturing is also taken. I think a real hard look at the applicability of these types of solutions. Uh we've seen things like for example 5G pick up in these sort of industrial applications as um you know as the industrial companies have thought about worker safety as they thought about automation as they thought about, you know, utilize being more protocols as well as you know, bringing these technologies and processes together in a way that will help to kind of reinvent their their particular economic base as well as kind of the learnings that we've seen over the last year coming from these new uh safety protocols as well as the need for now with the economy is picking back up the need for productivity as well as you know, greater efficiencies coming from these types of solutions. So we've seen that confluence happened and then certainly on our end as our network connectivity has become much stronger, lower latency as well as the endpoint capabilities have increased dramatically over the last few years, as S O C. S and others have taken root. We've seen the edge, if you will start to be more extreme in the sense that it's pushing further and further out beyond what we originally envisioned the edge to be. >>And the S O C trend actually highlights that it's not so much about moore's law as it is more about more chips, more more performance if you look at actual performance, David and they just put out a report on this where there's much more performance now than ever before coming in from the combined energy. So uh and combined processing power out there. So it's super, super amazing what you can do at the edge. Before we get into the edge. I want to just Clarify, what is your new role there? I mean Samsung is known for, I'll see the B2C with the phones and everything else, but you have a specific focus uh what is your main focus there? >>Yeah, our missions pretty straightforward and as everyone knows, you know, Samsung is this uh you know, powerhouse uh consumer electronics company we pride ourselves in and obviously uh our our position in that, but um we also have a very significant role really in the business to business and in the government and financial services sector space uh with our mobile devices as well as with our knock security platform solution and device management platform. We actually provide a large portion of the secure devices for governments worldwide, as well as the Knox platform that is built into the majority of our both consumer as well as business devices uh really allows for uh that uh if you will that next protective layer on top of the android. Os that allows for things such as personal and professional profile. So we produce those solutions out of my team um as well as we provide really the the go to market support as well as the R and D support for that platform, including uh an area that's growing rapidly for us, which is in the rugged category, which is, you know, one of the key products that we're using for some of these edge applications that will be talking about. >>Great, let's jump into that. What are you guys doing specifically on the edge computing space? Let's dig into it. >>Yeah, I think, you know, maybe the place to start on that is uh we're really kind of re envisioning what the edges and uh I mentioned a little earlier that uh with what's occurring in the performance profile and really the functional profile, what is being produced at the device level, You know, we're talking about in the last few years, the fidelity and the capabilities are, you know, in, you know, what I would call the the computer class type uh, functions as well as obviously mobile devices have always been um, communication gateways for a number of functions, whether they be, you know, videos or photos, their multi sensory in nature. And as this has become more practical and the connective tissue has gotten there with five G as well as all kinds of other, you know, fast, low latency communications capabilities and wifi six U w b, you know, included within that. What we're finding is that the use case to bring applications, especially cloud, native and container native applications uh, to these devices to be, you know, augmenting the the endpoint user, the frontline worker, uh really the Knowledge Worker and moving that capability further away from if you will and an extension to cloud services as well as the M E C type services. This is where we see it going and really what we're trying to to work on with IBM and with red hat is how do we, you know, continue to fortify this, not only from a actual processing ai Ml capability, but also equipped these devices so that they can fully participate as part of a multi hybrid cloud architecture. Uh the endpoint is really one of the last baskets where we have not uh kind of conquered bringing uh, you know, cloud first container native applications really to that point and we believe the time is right because of the capabilities that are there along with again, uh the connectivity that is becoming much more ubiquitous now to allow for that type of architecture to exist. And uh, we're starting to call this the intelligent human edge as well. We think that the applications that will see for this are you know, ones that will uh, you know, make the, the human operator more productive, safer, uh certainly more efficient and uh we think that this augmentation of that front line workers is an area that we, we are, you know, put put our, our steaks on in terms of pioneering just because of our experience in that mobility space and in the consumer space. >>That's great. You brought up red hat and IBM obviously red hat was bought by IBM Arvin Arvin Ceo. Well I interviewed in 2019 and the cube that red hat summit, ironically a couple months later by the company just smile on his face. He likes clowns. >>You had something to do with that. You know, >>he wanted to, I could see he wanted to say it, but but he loves the cloud. Everyone who knows Arvin knows that he's into the cloud in a new way in this edge piece that you mentioned that you're using red hat and IBM for hybrid. This is what the new operating system is going to look like. It's a completely distributed system and the edge is just part of that operating model. This is what their vision is, which I love by the way, I think that redefines what that is. Are you saying that you guys are working with red hat and IBM for that hybrid edge piece. How does that work? Can you take me through that? >>Yeah, that's exactly right. I mean this is a obviously the ecosystems bigger than that, but IBM and red Hat really bring the expertise really around uh container ecosystems, certainly the work that they have done in terms of multi hybrid cloud, uh certainly the work that open ship has brought forward in terms of, you know, multi platform capability. We really love the concept of developed once run any sort of a construct. And uh when you think about it, the mobile platforms specifically, you know, ours as well as others has really been that last bastion of, of areas where more of the development is on a particular platform, it's more bespoke. We think that by broaching this uh, you know, in conjunction with IBM and Red Hat, um this is going to give us the ability to have these device architecture has become a full voting member if you will of of that hybrid cloud architecture and of that microservices can contain architecture that is becoming much more prevalent. So this is really the work that we're doing. And then obviously we're working at a vertical level to see where are the applicable use cases in places such as the design studio we have in Singapore, where with the Singaporean government, we're looking at really bringing a renaissance to industry ford auto type application, smart factory automation, public safety. These areas where we believe that this type of architecture can be, can be deployed. >>That's awesome. And totally believe that the edge um it's still gonna be pushed further and further out, honestly having that open, open standards of of hybrid. So I gotta ask you on the edge just well I got you here, you know, one of the things that you see clearly as the industrial edge, it's called factories and whatnot. You mentioned some of those and then you got the human piece, which is like people have phones and wearables and other things are gonna be happening. So as you start to have those endpoints which are then gonna be connected into a distributed network, take a hybrid cloud, so to be multiple clouds. But yeah, that's the subsystem within the cloud construct. The complaint has been not complaint, but the observation has been and complain if you look at it that the edges limited by power and connectivity. Okay. These are like key basic concepts, How is the connectivity option? I know five Gs coming, it's here, we're seeing it being deployed, we got people saying, hey, this is our business application, clearly got higher throughput, not as much range, give us your take on this because this becomes important. I'll see powers battery driven, getting better and better and and power is getting uh is not really that much of a problem, but connectivity seems to be what's your vision of this? >>Yeah, and you know, there's a lot of ways to approach that, I will tell you on the industrial side, at least in some of the deployments and pOC is that we've been involved in over the last year to two years, um connectivity is an issue uh and a lot of it has to do with the infrastructure that is available in many of these uh you know, plants or factories or you know, points of distribution. Uh they're not necessarily, you know, leading edge in many cases we're dealing with uh you know what I would call subpar connectivity, it's not like an office complex where You may have, you know, kind of state of the art wifi capability or you know, 10 gig capability or whatever it might be. Um So what we've, what we've found on that is it requires actually quite a bit of work in terms of fine tuning both on the network infrastructure side, whatever that might be. Uh Or we've also found that on the device side, the program ability of the of the device in terms of tuning it for whatever connective environment would be there. And we worked with everything from, you know, bluetooth, you w b uh to wifi six and everything in between and in many cases they're multiple uh you know, protocols or connectivity methods that are there. So, you know, one thing we've learned is that um you can't you can't necessarily assume that in a especially in a factory environment that those conditions are going to allow for um uh you know, consistency, so you have to engineer around that, you know, and some of the things that we've done are really around making sure that we've got uh, you know, deployable program ability at the device as well as, you know, uh more dynamic network tuning capabilities that will allow for, you know, better connectivity and handle things such as consistency. >>All right, Casey, Great to incite final question for you why Samsung and IBM, what's the bottom line? >>Yeah, I think the bottom line is really straightforward. I mean we've had a, you know, 30 year history of working together, uh you know, we've been mutual customers to each other. We do a lot of work for IBM in regards to foundry type services and semiconductor services and then we work very closely with them over many years on applications. So number one, there's been a natural relationship just in the the the services that we provided to each other. But as as we look at really to go to market, I mean, IBM brings so much credibility from a vertical market perspective. Um there's a trusted advisor type status that I think is is very profound and it's been built over many years, you know, delivering on the promises and on our end. I think what we bring is really this uh this uh cycle time that is driven by our passion in the consumer space. And when we start to apply that into more of these vertical industrial, uh you know, vertical sectors, I think that combination is very powerful. Um the services piece obviously comes into play with IBM and then really the red hat piece of this really just puts the icing on the cake with really the market leadership in uh you know, hybrid cloud and in the container native architecture. So it's just a very powerful combo. And um you know, the cooperation there has been strong and we continue to look forward to delivering more through that partnership. >>Casey great to see a great, great thing to hear. You know, you got scalable infrastructure, you get modern applications at the edge, all of hybrid. Great, great partnership. Casey Choi Executive Vice Corporate Executive Vice President and General Manager of Samsung Mobile B two B team. Great to see you and congratulations on your mission. It's exciting project. Thanks for coming on the cube and sharing. >>Great to see you, jOHn take care of yourself and looking forward to seeing you again. >>Okay, this is the cubes coverage. IBM think 2021. I'm john for your host of the cube. Thanks for watching.

>> Narrator: From around the globe it's theCUBE! With digital coverage of UiPath Live, the release show. Brought to you by UiPath. >> Hi everybody this is Dave Valenti, welcome back to our RPA Drill Down. Ted Kummert is here he is Executive Vice President for Products and Engineering at UiPath. Ted, thanks for coming on, great to see you. >> Dave, it's great to be here, thanks so much. >> Dave your background is pretty interesting, you started as a Silicon Valley Engineer, they pulled you out, you did a huge stint at Microsoft. You got experience in SAS, you've got VC chops with Madrona. And at Microsoft you saw it all, the NT, the CE Space, Workflow, even MSN you did stuff with MSN, and then the all important data. So I'm interested in what attracted you to UiPath? >> Yeah Dave, I feel super fortunate to have worked in the industry in this span of time, it's been an amazing journey, and I had a great run at Microsoft it was fantastic. You mentioned one experience in the middle there, when I first went to the server business, the enterprise business, I owned our Integration and Workflow products, and I would say that's the first I encountered this idea. Often in the software industry there are ideas that have been around for a long time, and what we're doing is refining how we're delivering them. And we had ideas we talked about in terms of Business Process Management, Business Activity Monitoring, Workflow. The ways to efficiently able somebody to express the business process in a piece of software. Bring systems together, make everybody productive, bring humans into it. These were the ideas we talked about. Now in reality there were some real gaps. Because what happened in the technology was pretty different from what the actual business process was. And so lets fast forward then, I met Madrona Venture Group, Seattle based Venture Capital Firm. We actually made a decision to participate in one of UiPath's fundraising rounds. And that's the first I really came encountered with the company and had to have more than an intellectual understanding of RPA. 'Cause when I first saw it, I said "oh, I think that's desktop automation" I didn't look very close, maybe that's going to run out of runway, whatever. And then I got more acquainted with it and figured out "Oh, there's a much bigger idea here". And the power is that by really considering the process and the implementation from the humans work in, then you have an opportunity really to automate the real work. Not that what we were doing before wasn't significant, this is just that much more powerful. And that's when I got really excited. And then the companies statistics and growth and everything else just speaks for itself, in terms of an opportunity to work, I believe, in one of the most significant platforms going in the enterprise today, and work at one of the fastest growing companies around. It was like almost an automatic decision to decide to come to the company. >> Well you know, you bring up a good point you think about software historically through our industry, a lot of it was 'okay here's this software, now figure out how to map your processes to make it all work' and today the processes, especially you think about this pandemic, the processes are unknown. And so the software really has to be adaptable. So I'm wondering, and essentially we're talking about a fundamental shift in the way we work. And is there really a fundamental shift going on in how we write software and how would you describe that? >> Well there certainly are, and in a way that's the job of what we do when we build platforms for the enterprises, is try and give our customers a new way to get work done, that's more efficient and helps them build more powerful applications. And that's exactly what RPA does, the efficiency, it's not that this is the only way in software to express a lot of this, it just happens to be the quickest. You know in most ways. Especially as you start thinking about initiatives like our StudioX product to what we talk about as enabling citizen developers. It's an expression that allows customers to just do what they could have done otherwise much more quickly and efficient. And the value on that is always high, certainly in an unknown era like this, it's even more valuable, there are specific processes we've been helping automate in the healthcare, in financial services, with things like SBA Loan Processing, that we weren't thinking about six months ago, or they weren't thinking about six months ago. We're all thinking about how we're reinventing the way we work as individuals and corporations because of what's going on with the coronavirus crisis, having a platform like this that gives you agility and mapping the real work to what your computer state and applications all know how to do, is even more valuable in a climate like that. >> What attracted us originally to UiPath, we knew Bobby Patrick CMO, he said "Dave, go download a copy, go build some automations and go try it with some other companies". So that really struck us as wow, this is actually quite simple. Yet at the same time, and so you've of course been automating all these simple tasks, but now you've got real aspiration, you're glomming on to this term of Hyperautomation, you've made some acquisitions, you've got a vision, that really has taken you beyond 'paving the cow path' I sometimes say, of all these existing processes. It's really trying to discover new processes and opportunities for automation, which you would think after 50 or whatever years we've been in this industry, we'd have attacked a lot of it, but wow, seems like we have a long way to go. Again, especially what we're learning through this pandemic. Your thoughts on that? >> Yeah, I'd say Hyperautomation. It's actually a Gartner term, it's not our term. But there is a bigger idea here, built around the core automation platform. So let's talk for a second just what's not about the core platform and then what Hyperautomation really means around that. And I think of that as the bookends of how do I discover and plan, how do I improve my ability to do more automations, and find the real opportunities that I have. And how do I measure and optimize? And that's a lot of what we delivered in 20.4 as a new capability. So let's talk about discover and plan. One aspect of that is the wisdom of the crowd. We have a product we call Automation Hub that is all about that. Enabling people who have ideas, they're the ones doing the work, they have the observation into what efficiencies can be. Enabling them to either with our Ask Capture Utility capture that and document that, or just directly document that. And then, people across the company can then collaborate eventually moving on building the best ideas out of that. So there's capturing the crowd, and then there's a more scientific way of capturing actually what the opportunities are. So we've got two products we introduced. One is process mining, and process mining is about going outside in from the, let's call it the larger processes, more end to end processes in the enterprise. Things like order-to-cash and procure-to-pay, helping you understand by watching the events, and doing the analytics around that, where your bottle necks, where are you opportunities. And then task mining said "let's watch an individual, or group of individuals, what their tasks are, let's watch the log of events there, let's apply some machine learning processing to that, and say here's the repetitive things we've found." And really helping you then scientifically discover what your opportunities are. And these ideas have been along for a long time, process mining is not new. But the connection to an automation platform, we think is a new and powerful idea, and something we plan to invest a lot in going forward. So that's the first bookend. And then the second bookend is really about attaching rich analytics, so how do I measure it, so there's operationally how are my robots doing? And then there's everything down to return on investment. How do I understand how they are performing, verses what I would have spent if I was continuing to do them the old way. >> Yeah that's big 'cause (laughing) the hero reports for the executives to say "hey, this is actually working" but at the same time you've got to take a systems view. You don't want to just optimize one part of the system at the detriment to others. So you talk about process mining, which is kind of discovering the backend systems, ERP and the like, where the task mining it sounds like it's more the collaboration and front end. So that whole system thinking, really applies, doesn't it? >> Yeah. Very much so. Another part of what we talked about then, in the system is, how do we capture the ideas and how do we enable more people to build these automations? And that really gets down to, we talk about it in our company level vision, is a robot for every person. Every person should have a digital assistant. It can help you with things you do less frequently, it can help you with things you do all the time to do your job. And how do we help you create those? We've released a new tool we call StudioX. So for our RPA Developers we have Studio, and StudioX is really trying to enable a citizen developer. It's not unlike the art that we saw in Business Intelligence there was the era where analytics and reporting were the domain of experts, and they produced formalized reports that people could consume. But the people that had the questions would have to work with them and couldn't do the work themselves. And then along comes ClickView and Tableau and Power BI enabling the self services model, and all of a sudden people could do that work themselves, and that enabled powerful things. We think the same arch happens here, and StudioX is really our way of enabling that, citizen developer with the ideas to get some automation work done on their own. >> Got a lot in this announcement, things like document understanding, bring your own AI with AI fabric, how are you able to launch so many products, and have them fit together, you've made some acquisitions. Can you talk about the architecture that enables you to do that? >> Yeah, it's clearly in terms of ambition, and I've been there for 10 weeks, but in terms of ambition you don't have to have been there when they started the release after Forward III in October to know that this is the most ambitious thing that this company has ever done from a release perspective. Just in terms of the surface area we're delivering across now as an organization, is substantive. We talk about 1,000 feature improvements, 100's of discreet features, new products, as well as now our automation cloud has become generally available as well. So we've had muscle building over this past time to become world class at offering SAS, in addition to on-premises. And then we've got this big surface area, and architecture is a key component of how you can do this. How do you deliver efficiently the same software on-premises and in the cloud? Well you do that by having the right architecture and making the right bets. And certainly you look forward, how are companies doing this today? It's really all about Cloud-Native Platform. But it's about an architecture such that we can do that efficiently. So there is a lot about just your technical strategy. And then it's just about a ton of discipline and customer focus. It keeps you focused on the right things. StudioX was a great example of we were led by customers through a lot of what we actually delivered, a couple of the major features in it, certainly the out of box templates, the studio governance features, came out of customer suggestions. I think we had about 100 that we have sitting in the backlog, a lot of which we've already done, and really being disciplined and really focused on what customers are telling. So make sure you have the right technical strategy and architecture, really follow your customers, and really stay disciplined and focused on what matters most as you execute on the release. >> What can we learn from previous examples, I think about for instance SQL Server, you obviously have some knowledge in it, it started out pretty simple workloads and then at the time we all said "wow, it's a lot more powerful to come from below that it is, if a Db2, or an Oracle sort of goes down market", Microsoft proved that, obviously built in the robustness necessary, is there a similar metaphor here with regard to things like governance and security, just in terms of where UiPath started and where you see it going? >> Well I think the similarities have more to do with we have an idea of a bigger platform that we're now delivering against. In the database market, that was, we started, SQL Server started out as more of just a transactional database product, and ultimately grew to all of the workloads in the data platform, including transaction for transactional apps, data warehousing and as well as business intelligence. I see the same analogy here of thinking more broadly of the needs, and what the ability of an integrated platform, what it can do to enable great things for customers, I think that's a very consistent thing. And I think another consistent thing is know who you are. SQL Server knew exactly who it had to be when it entered the database market. That it was going to set a new benchmark on simplicity, TCO, and that was going to be the way it differentiated. In this case, we're out ahead of the market, we have a vision that's broader than a lot of the market is today. I think we see a lot of people coming in to this space, but we see them building to where we were, and we're out ahead. So we are operating from a leadership position, and I'm not going to tell you one's easier that the other, and both you have to execute with great urgency. But we're really executing out ahead, so we've got to keep thinking about, and there's no one's tail lights to follow, we have to be the ones really blazing the trail on what all of this means. >> I want to ask you about this incorporation of existing systems. Some markets they take off, it's kind of a one shot deal, and the market just embeds. I think you guys have bigger aspirations than that, I look at it like a service now, misunderstood early on, built the platform and now really is fundamental part of a lot of enterprises. I also look at things like EDW, which again, you have some experience in. In my view it failed to live up to a lot of it's promises even though it delivered a lot of value. You look at some of the big data initiatives, you know EDW still plugs in, it's the system of record, okay that's fine. How do you see RPA evolving? Are we going to incorporate, do we have to embrace existing business process systems? Or is this largely a do-over in your opinion? >> Well I think it's certainly about a new way of building automation, and it's starting to incorporate and include the other ways, for instance in the current release we added support for long running workflow, it was about human workflow based scenarios, now the human is collaborating with the robot, and we built those capabilities. So I do see us combining some of the old and new way. I think one of the most significant things here, is also that impact that AI and ML based technologies and skills can have on the power of the automations that we deliver. We've certainly got a surface area that, I think about our AI and ML strategy in two parts, that we are building first class first party skills, that we're including in the platform, and then we're building a platform for third parties and customers to bring their what their data science teams have delivered, so those can also be a part of our ecosystem, and part of automations. And so things like document understanding, how do I easily extract data from more structured, semi-structured and completely unstructured documents, accurately? And include those in my automations. Computer vision which gives us an ability to automate at a UI level across other types of systems than say a Windows and a browser base application. And task mining is built on a very robust, multi layer ML system, and the innovation opportunity that I think just consider there, you know continue there. You think it's a macro level if there's aspects of machine learning that are about captured human knowledge, well what exactly is an automation that captured where you're capturing a lot of human knowledge. The impact of ML and AI are going to be significant going out into the future. >> Yeah, I want to ask you about them, and I think a lot of people are just afraid of AI, as a separate thing and they have to figure out how to operationalize it. And I think companies like UiPath are really in a position to embed UI into applications AI into applications everywhere, so that maybe those folks that haven't climbed on the digital bandwagon, who are now with this pandemic are realizing "wow, we better accelerate this" they can actually tap machine intelligence through your products and others as well. Your thoughts on that sort of narrative? >> Yeah, I agree with that point of view, it's AI and ML is still maturing discipline across the industry. And you have to build new muscle, and you build new muscle and data science, and it forces you to think about data and how you manage your data in a different way. And that's a journey we've been on as a company to not only build our first party skills, but also to build the platform. It's what's given us the knowledge that to help us figure out, well what do we need to include here so our customers can bring their skills, actually to our platform, and I do think this is a place where we're going to see the real impact of AI and ML in a broader way. Based on the kind of apps it is and the kind of skills we can bring to bear. >> Okay last question, you're ten weeks in, when you're 50, 100, 200 weeks in, what should we be watching, what do you want to have accomplished? >> Well we're listening, we're obviously listening closely to our customers, right now we're still having a great week, 'cause there's nothing like shipping new software. So right now we're actually thinking deeply about where we're headed next. We see there's lots of opportunities and robot for every person, and that initiative, and so we're launched a bunch of important new capabilities there, and we're going to keep working with the market to understand how we can, how we can add additional capability there. We've just got the GA of our automation cloud, I think you should expect more and more services in our automation cloud going forward. I think this area we talked about, in terms of AI and ML and those technologies, I think you should expect more investment and innovation there from us and the community, helping our customers, and I think you will also see us then, as we talked about this convergence of the ways we bring together systems through integrate and build business process, I think we'll see a convergence into the platform of more of those methods. I look ahead to the next releases, and want to see us making some very significant releases that are advancing all of those things, and continuing our leadership in what we talk about now as the Hyperautomation platform. >> Well Ted, lot of innovation opportunities and of course everybody's hopping on the automation bandwagon. Everybody's going to want a piece of your RPA hide, and you're in the lead, we're really excited for you, we're excited to have you on theCUBE, so thanks very much for all your time and your insight. Really appreciate it. >> Yeah, thanks Dave, great to spend this time with you. >> All right thank you for watching everybody, this is Dave Velanti for theCUBE, and our RPA Drill Down Series, keep it right there we'll be right back, right after this short break. (calming instrumental music)

>> Announcer: From theCUBE studios in Palo Alto and Boston, it's theCUBE, covering IBM Think brought to you by IBM. >> Hi, there, this is Dave Vellante. We're back at the IBM Think 2020 Digital Event Experience are socially responsible and distant. I'm here in the studios in Marlborough, our team in Palo Alto. We've been going wall to wall coverage of IBM Think, Kit Chee here is the Vice President, and general manager of Cloud and Enterprise sales at Intel. Kit, thanks for coming on. Good to see you. >> Thank you, Dave. Thank you for having me on. >> You're welcome, and Evaristus Mainsah, Mainsah is here. Mainsah, he is the general manager of the IBM Cloud Pack Ecosystem for the IBM Cloud. Evaristus, it's good to see you again. Thank you very much, I appreciate your time. >> Thank you, Dave. Thank you very much. Thanks for having me. >> You're welcome, so Kit, let me start with you. How are you guys doing? You know, there's this pandemic, never seen it before. How're things where you are? >> Yeah, so we were quite fortunate. Intel's had an epidemic leadership team. For about 15 years now, we have a team consisting of medical safety and operational professionals, and this same team has, who has navigated as across several other health issues like bad flu, Ebola, Zika and each one and one virus then navigating us at this point with this pandemic. Obviously, our top priority as it would be for IBM is protecting the health and well being of employees while keeping the business running for our customers. The company has taken the following measures to take care of it direct and indirect workforce, Dave and to ensure business continuity throughout the developing situation. They're from areas like work from home policies, keeping hourly workers home and reimbursing for daycare, elderly care, helping with WiFi policies. So that's been what we've been up to Intel's manufacturing and supply chain operations around the world world are working hard to meet demand and we are collaborating with supply pains of our customers and partners globally as well. And more recently, we have about $16 Million to support communities, from frontline health care workers and technology initiatives like online education, telemedicine and compute need to research. So that's what we've been up to date. Pretty much, you know, busy. >> You know, every society that come to you, I have to say my entire career have been in the technology business and you know, sometimes you hear negative toward the big tech but, but I got to say, just as Kit was saying, big tech has really stepped up in this crisis. IBM has been no different and, you know, tech for good and I was actually I'm really proud. How are you doing in New York City? >> Evaristus: No, thank you, Dave, for that, you know, we are, we're doing great and, and our focus has been absolutely the same, so obviously, because we provide services to clients. At a time like this, your clients need you even more, but we need to focus on our employees to make sure that their health and their safety and their well being is protected. And so we've taken this really seriously, and actually, we have two ways of doing this. One of them is just on to purpose as a, as a company, on our clients, but the other is trying to activate the ecosystem because problems of this magnitude require you to work across a broad ecosystem to, to bring forth in a solution that are long lasting, for example, we have a call for code, which where we go out and we ask developers to use their skills and open source technologies to help solve some technical problems. This year, the focus was per AVADA initiatives around computing resources, how you track the Coronavirus and other services that are provided free of charge to our clients. Let me give you a bit more color, so, so IBM recently formed the high performance computing consortium made up of the feYderal government industry and academic leaders focus on providing high performance computing to solve the COVID-19 problem. So we're currently we have 33 members, now we have 27 active products, deploying something like 400 teraflops as our petaflop 400 petaflops of compute to solve the problem. >> Well, it certainly is challenging times, but at the same time, you're both in the, in the sweet spot, which is Cloud. I've talked to a number of CIOs who have said, you know, this is really, we had a cloud strategy before but we're really accelerating our cloud strategy now and, and we see this as sort of a permanent effect. I mean, Kit, you guys, big, big on ecosystem, you, you want frankly, a level playing field, the more optionality that you can give to customers, you know, the better and Cloud is really been exploding and you guys are powering, you know, all the world's Clouds. >> We are, Dave and honestly, that's a huge responsibility that we undertake. Before the pandemic, we saw the market through the lens of four key mega trends and the experiences we are all having currently now deepens our belief in the importance of addressing these mega trends, but specifically, we see marketplace needs around key areas of cloudification of everything below point, the amount of online activities that have spiked just in the last 60 days. It's a testimony of that. Pervasive AI is the second big area that we have seen and we are now resolute on investments in that area, 5G network transformation and the edge build out. Applications run the business and we know enterprise IT faces challenges when deploying applications that require data movement between Clouds and Cloud native technologies like containers and Kubernetes will be key enablers in delivering end to end data analytics, AI, machine learning and other critical workloads and Cloud environments at the edge. Pairing Intel's data centric portfolio, including Intel's obtain SSPs with Red Hat, Openshift, and IBM Cloud Paks, enterprise can now break through storage bottlenecks and have unconstrained data availability in the hybrid and multicloud environments, so we're pretty happy with the progress we're making that together with IBM. >> Yeah, Evaristus, I mean, you guys are making some big bets. I've, you know, written and discussed in my breaking analysis, I think a lot of people misunderstand IBM Cloud, Ginni Rometty arm and a bow said, hey, you know, we're after only 20% of the workloads are in cloud, we're going after the really difficult to move workloads and the hybrid workloads, that's really the fourth foundation that Arvin you know, talks about, that you and IBM has built, you know, your mainframes, you have middleware services, and in hybrid Cloud is really that fourth sort of platform that you're building out, but you're making some bets in AI. You got other services in the Cloud like, like blockchain, you know, quantum, we've been having really interesting discussions around quantum, so I wonder if you can talk a little bit about sort of where you're allocating resources, some of the big bets that, that you're making for the next decade. >> Well, thank you very much, Dave, for that. I think what we're seeing with clients is that there's increasing focus on and, and really an acceptance, that the best way to take advantage of the Cloud is through a hybrid cloud strategy, infused with data, so it's not just the Cloud itself, but actually what you need to do to data in order to make sure that you can really, truly transform yourself digitally, to enable you to, to improve your operations, and in use your data to improve the way that you work and improve the way that you serve your clients. And what we see is and you see studies out there that say that if you adopt a hybrid cloud strategy, instead of 2.5 times more effective than a public cloud only strategy, and Why is that? Well, you get thi6ngs such as you know, the opportunity to move your application, the extent to which you move your applications to the Cloud. You get things such as you know, reduction in, in, in risk, you, you get a more flexible architecture, especially if you focus on open certification, reduction and certification reduction, some of the tools that you use, and so we see clients looking at that. The other thing that's really important, especially in this moment is business agility, and resilience. Our business agility says that if my customers used to come in, now, they can't come in anymore, because we need them to stay at home, we still need to figure out a way to serve them and we write our applications quickly enough in order to serve this new client, service client in a new way. And well, if your applications haven't been modernized, even if you've moved to the Cloud, you don't have the opportunity to do that and so many clients that have made that transformation, figure out they're much more agile, they can move more easily in this environment, and we're seeing the whole for clients saying yes, I do need to move to the Cloud, but I need somebody to help improve my business agility, so that I can transform, I can change with the needs of my clients, and with the demands of competition and this leads you then to, you know, what sort of platform do you need to enable you to do this, it's something that's open, so that you can write that application once you can run it anywhere, which is why I think the IBM position with our ecosystem and Red Hat with this open container Kubernetes environment that allows you to write application once and deploy it anywhere, is really important for clients in this environment, especially, and the Cloud Paks which is developed, which I, you know, General Manager of the Cloud Pak Ecosystem, the logic of the Cloud Paks is exactly that you'll want plans and want to modernize one, write the applications that are cloud native so that they can react more quickly to market conditions, they can react more quickly to what the clients need and they, but if they do so, they're not unlocked in a specific infrastructure that keeps them away from some of the technologies that may be available in other Clouds. So we have talked about it blockchain, we've got, you know, Watson AI, AI technologies, which is available on our Cloud. We've got the weather, company assets, those are key asset for, for many, many clients, because weather influences more than we realize, so, but if you are locked in a Cloud that didn't give you access to any of those, because you hadn't written on the same platform, you know, that's not something that you you want to support. So Red Hat's platform, which is our platform, which is open, allows you to write your application once and deploy it anyways, particularly our customers in this particular environment together with the data pieces that come on top of that, so that you can scale, scale, because, you know, you've got six people, but you need 600 of them. How do you scale them or they can use data and AI in it? >> Okay, this must be music to your ears, this whole notion of you know, multicloud because, you know, Intel's pervasive and so, because the more Clouds that are out there, the better for you, better for your customers, as I said before, the more optionality. Can you6 talk a little bit about the rela6tionship today between IBM and Intel because it's obviously evolved over the years, PC, servers, you know, other collaboration, nearly the Cloud is, you know, the latest 6and probably the most rel6evant, you know, part of your, your collaboration, but, but talk more about what that's like you guys are doing together that's, that'6s interesting and relevant. >> You know, IBM and Intel have had a very rich history of collaboration starting with the invention of the PC. So for those of us who may take a PC for granted, that was an invention over 40 years ago, between the two companies, all the way to optimizing leadership, IBM software like BB2 to run the best on Intel's data center products today, right? But what's more germane today is the Red Hat piece of the study and how that plays into a partnership with IBM going forward, Intel was one of Red Hat's earliest investors back in 1998, again, something that most people may not realize that we were in early investment with Red Hat. And we've been a longtime pioneer of open source. In fact, Levin Shenoy, Intel's Executive Vice President of Data Platforms Group was part of COBOL Commies pick up a Red Hat summit just last week, you should definitely go listen to that session, but in summary, together Intel and Red Hat have made commercial open source viable and enterprise and worldwide competing globally. Basically, now we've65 used by nearly every vertical and horizontal industr6y. We are bringing our customers choice, scalability and speed of innovation for key technologies today, such as security, Telco, NFV, and containers, or even at ease and most recently Red Hat Openshift. We're very excited to see IBM Cloud Packs, for example, standardized on top of Openshift as that builds the foundation for IBM chapter two, and allows for Intel's value to scale to the Cloud packs and ultimately IBM customers. Intel began partnering with IBM on what is now called Pax over two years ago and we 6are committed to that success and scaling that, try ecosystem, hardware partners, ISVs and our channel. >> Yeah, so theCUBE by the way, covered Red Hat summit last week, Steve Minima and I did a detailed analysis. It was awesome, like if we do say so ourselves, but awesome in the sense of, it allowed us to really sort of unpack what's going on at Red Hat and what's happening at IBM. Evaristus, so I want to come back to you on this Cloud Pack, you got, it's, it's the kind of brand that you guys have, you got Cloud Packs all over the place, you got Cloud Packs for applications, data, integration, automation, multicloud management, what do we need to know about Cloud pack? What are the relevant components there? >> Evaristus: I think the key components is so this is think of this as you know, software that is designed that is Cloud native is designed for specific core use cases and it's built on Red Hat Enterprise Linux with Red Hat Openshift container Kubernetes environment, and then on top of that, so you get a set of common services that look right across all of them and then on top of that, you've got specific both open source and IBM software that deals with specific plant situations. So if you're dealing with applications, for example, the open source and IBM software would be the run times that you need to write and, and to blow applications to have setups. If you're dealing with data, then you've got Cloud Pack to data. The foundation is still Red Hat Enterprise Linux sitting on top of with Red Hat Openshift container Kubernetes environment sitting on top of that providing you with a set of common services and then you'll get a combination of IBM zone open, so IBM software as well as open source will have third party software that sits on top of that, as well as all of our AI infrastructure that sits on top of that and machine learning, to enable you to do everything that you need to do, data to get insights updates, you've got automation to speed up and to enable us to do work more efficiently, more effectively, to make your smart workers better, to make management easier, to help management manage work and processes, and then you've got multicloud management that allows you to see from a single pane, all of your applications that you've deployed in the different Cloud, because the idea here, of course, is that not all sitting in the same Cloud. Some of it is on prem, some of it is in other Cloud, and you want to be able to see and deploy applications across all of those. And then you've got the Cloud Pack to security, which has a combination of third party offerings, as well as ISV offerings, as well as AI offerings. Again, the structure is the same, REL, Red Hat Openshift and then you've got the software that enables you to manage all aspects of security and to deal with incidents when, when they arise. So that gives you data applications and then there's integration, as every time you start writing an application, you need to integrate, you need to access data security from someplace, you need to bring two pipes together for them to communicate and we use a Cloud Pack for integration to allow us to do that. You can open up API's and expose those API so others writing application and gain access to those API's. And again, this idea of resilience, this idea of agility, so you can make changes and you can adapt data things about it. So that's what the Cloud Pack provides for you and Intel has been an absolutely fantastic partner for us. One of the things that we do with Intel, of course, is to, to work on the reference architectures to help our certification program for our hardware OEMs so that we can scale that process, get many more OEMs adopt and be ready for the Cloud Packs and then we work with them on some of the ISV partners and then right up front. >> Got it, let's talk about the edge. Kity, you mentioned 5G. I mean it's a really exciting time, (laughs) You got windmills, you got autonomous vehicles, you got factories, you got to ship, you know, shipping containers. I mean, everything's getting instrumented, data everywhere and so I'm interested in, let's start with Intel's point of view on the edge, how that's going to evolve, you know what it means to Cloud. >> You know, Dave, it's, its definitely the future and we're excited to partner with IBM here. In addition to enterprise edge, the communication service providers think of the Telcos and take advantage of running standardized open software at the Telco edge, enabling a range of new workloads via scalable services, something that, you know, didn't happen in the past, right? Earlier this year, Intel announced a new C on second generation, scalable, atom based processes targeting the 5G radio access network, so this is a new area for us, in terms of investments going to 5G ran by deploying these new technologies, with Cloud native platforms like Red Hat Openshift and IBM Cloud Packs, comm service providers can now make full use of their network investments and bring new services such as Artificial Intelligence, augmented reality, virtual reality and gaming to the market. We've only touched the surface as it comes to 5G and Telco but IBM Red Hat and Intel compute together that I would say, you know, this space is super, super interesting, as more developed with just getting started. >> Evaristus, what do you think this means for Cloud and how that will evolve? Is this sort of a new Cloud that will form at the edge? Obviously, a lot of data is going to stay at the edge, probably new architectures are going to emerge and again, to me, it's all about data, you can create more data, push more data back to the Cloud, so you can model it. Some of the data is going to have to be done in real time at the edge, but it just really extends the network to new horizons. >> Evaristus: It does exactly that, Dave and we think of it and which is why I thought it will impact the same, right? You wouldn't be surprised to see that the platform is based on open containers and that Kubernetes is container environment provided by Red Hat and so whether your data ends up living at the edge or your data lives in a private data center, or it lives in some public Cloud, and how it flows between all of them. We want to make it easy for our clients to be able to do that. So this is very exciting for us. We just announced IBM Edge Application Manager that allows you to basically deploy and manage applications at endpoints of all these devices. So we're not talking about 2030, we're talking about thousands or hundreds of thousands. And in fact, we're working with, we're getting divided Intel's device onboarding, which will enable us to use that because you can get that and you can onboard devices very, very easily at scale, which if you get that combined with IBM Edge Application Manager, then it helps you onboard the devices and it helps you divide both central devices. So we think this is really important. We see lots of work that moving on the edge devices, many of these devices and endpoints now have sufficient compute to be able to run them, but right now, if they are IoT devices, the data has been transferred to hundreds of miles away to some data center to be processed and enormous pass and then only 1% of that actually is useful, right? 99% of it gets thrown away. Some of that actually has data residency requirements, so you may not be able to move the data to process, so why wouldn't you just process the data where the data is created around your analytics where the data is spread, or you have situations that are disconnected as well. So you can't actually do that. You don't want to stop this still in the supermarket, because there's, you lost connectivity with your data center and so the importance of being able to work offline and IBM Edge Application Manager actually allows you so it's tournament so you can do all of this without using lots of people because it's a process that is all sort or automated, but you can work whether you're connected or you're disconnected, and then you get replication when you get really, really powerful for. >> All right, I think the developer model is going to be really interesting here. There's so many new use cases and applications. Of course, Intel's always had a very strong developer ecosystem. You know, IBM understands the importance of developers. Guys, we've got to wrap up, but I wonder if you could each, maybe start with Kit. Give us your sense as to where you want to see this, this partnership go, what can we expect over the next, you know, two to five years and beyond? >> I think it's just the area of, you know, 5G, and how that plays out in terms of edge build out that we just touched on. I think that's a really interesting space, what Evaristus has said is spot on, you know, the processing, and the analytics at the edge is still fairly nascent today and that's growing. So that's one area, building out the Cloud for the different enterprise applications is the other one and obviously, it's going to be a hybrid world. It's not just a public Cloud world on prem world. So the whole hybrid build out What I call hybrid to DoD zero, it's a policy and so the, the work that both of us need to do IBM and Intel will be critical to ensure that, you know, enterprise IT, it has solutions across the hybrid sector. >> Great. Evaristus, give us the last word, bring us home. >> Evaristus: And I would agree with that as well, Kit. I will say this work that you do around the Intel's market ready solutions, right, where we can bring our ecosystem together to do even more on Edge, some of these use cases, this work that we're doing around blockchain, which I think you know, again, another important piece of work and, and I think what we really need to do is to focus on helping clients because many of them are working through those early cases right now, identify use cases that work and without commitment to open standards, using exactly the same standard across like what you've got on your open retail initiative, which we're going to do, I think is going to be really important to help you out scale, but I wanted to just add one more thing, Dave, if you if you permit me. >> Yeah. >> Evaristus: In this COVID era, one of the things that we've been able to do for customers, which has been really helpful, is providing free technology for 90 days to enable them to work in an offline situation to work away from the office. One example, for example, is the just the ability to transfer files and bandwidth, new bandwidth is an issue because the parents and the kids are all working from home, we have a protocol, IBM Aspera, which will make available customers for 90 days at no cost. You don't need to give us your credit card, just log on and use it to improve the way that you work. So your bandwidth feels as if you are in the office. We have what's an assistant that is now helping clients in more than 18 countries that keep the same thing, basically providing COVID information. So those are all available. There's a slew of offerings that we have. We just want listeners to know that they can go on the IBM website and they can gain those offerings they can deploy and use them now. >> That's huge. I knew about the 90 day program, I didn't realize a sparrow was part of that and that's really important because you're like, Okay, how am I going to get this file there? And so thank you for, for sharing that and guys, great conversation. You know, hopefully next year, we could be face to face even if we still have to be socially distant, but it was really a pleasure having you on. Thanks so much. Stay safe, and good stuff. I appreciate it. >> Evaristus: Thank you very much, Dave. Thank you, Kit. Thank you. >> Thank you, thank you. >> All right, and thank you for watching everybody. This is Dave Volante for theCUBE, our wall to wall coverage of the IBM Think 2020 Digital Event Experience. We'll be right back right after this short break. (upbeat music)