>> Announcer: Live from Las Vegas, it's The Cube, covering HPE Discover, 2017 brought to you by Hewlett Packard Enterprise. >> Okay, welcome back everyone. We're here live in Las Vegas for our exclusive three day coverage from The Cube Silicon Angle media's flagship program. We go out to events, talk to the smartest people we can find CEOs, entrepreneurs, R&D lab managers and of course we're here at HPE Discover 2017 our next two guests, Andrew Wheeler, the Fellow, VP, Deputy Director, Hewlett Packard Labs and Kirk Bresniker, Fellow and VP, Chief Architect of HP Labs, was on yesterday. Welcome back, welcome to The Cube. Hewlett Packard Labs well known you guys doing great research, Meg Whitman really staying with a focused message and one of the comments she mentioned at our press analyst meeting yesterday was focusing on the lab. So I want ask you where is that range in the labs? In terms of what you guys, when does something go outside the lines if you will? >> Andrew: Yeah good question. So, if you think about Hewlett Packard Labs and really our charter role within the company we're really kind of tasked for looking at things that will disrupt our current business or looking for kind of those new opportunities. So for us we have something we call an innovation horizon and you know it's like any other portfolio that you have where you've got maybe things that are more kind of near term, maybe you know one to three years out, things that are easily kind of transferred or the timing is right. And then we have kind of another bucket that says well maybe it's more of a three to five year kind of in that advanced development category where it needs a little more incubation but you know it needs a little more time. And then you know we reserve probably you know a smaller pocket that's for more kind of pure research. Things that are further out, higher risk. It's a bigger bet but you know we do want to have kind of a complete portfolio of those, and you know over time throughout our history you know we've got really success stories in all of those. So it's always finding kind of that right blend. But you know there's clearly a focus around the advanced development piece now that we've had a lot of things come from that research point and really one of the... >> John: You're looking for breakthroughs. I mean that's what you're... Some-- >> Andrew: Clearly. >> Internal improvement, simplify IT all that good stuff, you guys still have your eyes on some breakthroughs. >> That's right. Breakthroughs, how do we differentiate what we're doing so but yeah clearly, clearly looking for those breakthrough opportunities. >> John: And one of the things that's come up really big in this show is the security and chip thing was pretty hot, very hot, and actually wiki bonds public, true public cloud report that they put out sizing up on prem the cloud mark. >> Dave: True private cloud. >> True private cloud I'm sorry. And that's not including hybrids of $265 billion tam but the notable thing that I want to get your thoughts on is the point they pushed was over 10 years $150 billion is going to shift out of IT on premise into other differentiated services. >> Andrew: Out of labor. >> Out of labor. So this, and I asked them what that means, as he said that means it's going to shift to vendor R&D meaning the suppliers have to do more work. So that the customers don't have to do the R&D. Which we see a lot in cloud where there's a lot of R&D going on. That's your job. So you guys are HP Labs, what's happening in that R&D area that's going to off load that labor so they can move to some other high yield tasks. >> Sure. Take first. >> John: Go ahead take a stab at it. >> When we've been looking at some of the concepts we had in the memory driven computing research and advanced development programs the machine program, you know one of the things that was the kick off for me back in 2003 we looked at what we had in the unix market, we had advanced virtualization technologies, we had great management of resources technologies, we had memory fabric technologies. But they're all kind of proprietary. But Silicon is thinking and back then we were saying how does risk unix compete with industry standards service? This new methodology, new wave, exciting changing cost structures. And for us it was that it was a chance to explore those ideas and understand how they would affect our maintaining the kind of rich set of customer experiences, mission criticality, security, all of these elements. And it's kind of funny that we're sort of just coming back to the future again and we're saying okay we have this move we want to see these things happen on the cloud and we're seeing those same technologies, the composable infrastructure we have in synergy and looking forward to see the research we've done on the machine advanced development program and how will that intersect hardware composability, converged infrastructure so that you can actually have that shift, those technologies coming in taking on more of that burden to allow you freedom of choice, so you can make sure that you end up with that right mix. The right part on a full public cloud, the right mix on a full private cloud, the right mixing on that intelligent edge. But still having the ability to have all of those great software development methodologies that agile methodology, the only thing the kids know how to do out of school is open source and agile now. So you want to make sure that you can embrace that and make sure regardless of where the right spot is for a particular application in your entire enterprise portfolio that you have this common set of experiences and tools. And some of the research and development we're doing will enable us to drive that into that existing, conventional, enterprise market as well as this intelligent edge. Making a continuum, a continuum from the core to the intelligent edge. And something that modern computer science graduates will find completely comfortable. >> One attracting them is going to be the key, I think the edge is kind of intoxicating if you think about all the possibilities that are out there in terms of what you know just from a business model disruption and also technology. I mean wearables are edge, brain implants in the future will be edge, you know the singularities here as Ray Kersewile would say... >> Yeah. >> I mean but, this is the truth. This is what's happened. This is real right now. >> Oh absolutely. You know we think of all that data and right now we're just scratching the surface. I remember it was 1994 the first time I fired up a web server inside of my development team. So I could begin thinning out design information on prototype products inside of HP, and it was a novelty. People would say "What is that thing "you just sent me an email, W W whatever?" And suddenly we went from, like almost overnight, from a novelty to a business necessity, to then it transformed the way that we created the applications for the... >> John: A lot of people don't know this but since you brought it up this historical trivia, HP Labs, Hewlett Packard Labs had scientists who actually invented the web with Tim Berners-Lee, I think HTML founder was an HP Labs scientist. Pretty notable trivia. A lot of people don't know that so congratulations. >> And so I look at just what you're saying there and we see this new edge thing is it's going to be similarly transformative. Now today it's a little gimmicky perhaps it's sort of scratching the surface. It's taking security and it can be problematic at times but that will transform, because there is so much possibility for economic transformation. Right now almost all that data on the edge is thrown away. If you, the first person who understands okay I'm going to get 1% more of that data and turn it into real time intelligence, real time action... That will unmake industries and it will remake new industries. >> John: Andrew this the applied research vision, you got to apply R&D to the problem... >> Andrew: Correct. >> That's what he's getting at but you got to also think differently. You got to bring in talent. The young guns. How are you guys bringing in the young guns? What's the, what's the honeypot? >> Well I think you know for us it's, the sell for us, obviously is just the tradition of Hewlett Packard to begin with right? You know we have recognition on that level even it's not just Hewlett Packard Labs as well it's you know just R&D in general right? Kind of it you know the DNA being an engineering company so... But it's you know I think it is creating kind of these opportunities and whether it's internship programs you know just the various things that we're doing whether it's enterprise related, high performance computing... I think this edge opportunity is a really interesting one as a bridge because if you think about all the things that we hear about in enterprise in terms of "Oh you know I need this deep analytics "capability," or you know even a lot of the in memories things that we're talking about, real time response, driving information, right? All of that needs to happen at the edge as well for various opportunities so it's got a lot of the young graduates excited. We host you know hundreds of interns every year and it's real exciting to see kind of the ideas they come in with and you know they're all excited to work in this space. >> Dave: So Kirk you have your machine button, three, of course you got the logo. And then the machine... >> I got the labs logo, I got the machine logo. >> So when I first entered you talked about in the early 1980s. When I first got in the business I remembered Gene Emdall. "The best IO is no IO." (laughter) >> Yeah that's right. >> We're here again with this sort of memory semantics, centric computing. So in terms of the three that Andrew laid out the three types of sort of projects you guys pursue... Where does the machine fit? IS it sort of in all three? Or maybe you could talk about that a little bit. >> Kirk: I think it is, so we see those technologies that over the last three years we have brought so much new and it was, the critical thing about this is I think it's also sort of the prototyping of the overall approach our leaning in approach here... >> Andrew: That's right. >> It wasn't just researchers. Right? Those 500 people who made that 160 terabyte monster machine possible weren't just from labs. It was engineering teams from across Hewlett Packard Enterprise. It was our supply chain team. It was our services team telling us how these things fit together for real. Now we've had incredible technology experiences, incredible technologist experiences, and what we're seeing is that we have intercepts on conventional platforms where there's the photonics, the persistent memories. Those will make our existing DCIG and SDCG products better almost immediately. But then we also have now these whole cloth applications and as we take all of our learnings, drive them into open source software, drive them into the genesys consortium and we'll see you know probably 18, 24 months from now some of those first optimized silicon designs pop out of that ecosystem then we'll be right there to assemble those again, into conventional systems as well as more expansive, exo-scale computing, intelligent edge with large persistent memories and application specific processing as that next generation of gateways, I think we can see these intercept points at every category Andrew talked about. >> Andrew: And another good point there that kind of magnifies the model we were talking about, if we were sitting here five years ago, we would talking about things like photonics and non-volatile memory as being those big R projects. Those higher risk, longer term things, that right? As those mature, we make more progress innovation happens, right? It gets pulled into that shorter time frame that becomes advanced development. >> Dave: And Meg has talked about that... >> Yeah. >> Wanting to get more productivity out of the labs. And she's also pointed out you guys have spent more on R&D in the last several years. But even as we talked about the other day you want to see a little more D and keep the R going. So my question is, when you get to that point, of being able to support DCIG... Where do you, is it a hand off? Are you guys intimately involved? When you're making decisions about okay so member stir for example, okay this is great, that's still in the R phase then you bring it in. But now you got to commercialize this and you got 3D nan coming out and okay let's use that, that fits into our framework. So how much do you guys get involved in that handoff? You know the commercialization of this stuff? >> We get very involved. So it's at the point where when we think have something that hey we think you know maybe this could get into a product or let's see if there's good intercept here. We work jointly at that point. It's lab engineers, it's the product managers out of the group, engineers out of the business group, they essentially work collectively then on getting it to that next step. So it's kind of just one big R&D effort at that point. >> Dave: And so specifically as it relates to the machine, where do you see in the next in the near term, let's call near term next three years, or five years even, what do you see that looking like? Is it this combination of memory width capacitors or flash extensions? What does that look like in terms of commercial terms that we can expect? >> Kirk: So I really think the palette is pretty broad here. That I can see these going into existing rack and tower products to allow them to have memory that's composable down to the individual module level. To be able to take that facility to have just the right resources applied at just the right time with that API that we have in one view. Extend down to composing the hardware itself. I think we look at those edge line systems and want to have just the right kind of analytic capability, large persistent memories at that edge so we can handle those zeta bytes and zeta bytes of data in full fidelity analyzed at the edge sending back that intelligence to the core but also taking action at the edge in a timeframe that matters. I also see it coming out and being the basis of our exoscale high performance computing. You know when you want to have a exoscale system that has all of the combined capacity of the top 500 systems today but 1/20th of their power that is going to take rather novel technologies and everything we've been working on is exactly what's feeding that research and soon to be advanced development and then soon to be production in supply chain. >> Dave: Great. >> John: So the question I have is obviously we saw some really awesome Gen 10 stuff here at this show you guys are seeing that obviously you're on stage talking about a lot of the cool R&D, but really the reality is that's multiple years in the works some of this root of trust silicon technology that's pretty, getting the show buzzed up everyone's psyched about it. Dreamworks Animation's talking about how inorganic opportunities is helping their business and they got the security with the root of trust NIST certified and compliant. Pretty impressive. What's next? What else are you working on because this is where the R&D is on your shoulders for that next level of innovation. Where, what do you guys see that? Because security is a huge deal. That's that great example of how you guys innovated. Cause that'll stop the vector of a tax in the service area of IOT if you can get the servers to lock down and you have firmware that's secure, makes a lot of sense. That's probably the tip of the iceberg. What else is happening with security? >> Kirk: So when we think about security and our efforts on advanced development research around the machine what you're seeing here with the proliance is making the machines more secure. The inherent platform more secure. But the other thing I would point to you is the application we're running on the prototype. Large scale graph inference. And this is security because you have a platform like the machine. Able to digest hundreds and hundreds of tera bytes worth of log data to look for that fingerprint, that subtle clue that you have a system that has been compromised. And these are not blatant let's just blast everything out to some dot dot x x x sub domain, this is an advanced persistent thread by a very capable adversary who is very subtle in their reach out from a system that has been compromised to that command and control server. The signs are there if you can look at the data holistically. If you can look at that DNS log, graph of billions of entries everyday, constantly changing, if you can look at that as a graph in totality in a timeframe that matters then that's an empowering thing for a cyber defense team and I think that's one of the interesting things that we're adding to this discussion. Not only protect, detect and recover, but giving offensive weapons to our cyber defense team so they can hunt, they can hunt for those events for system threats. >> John: One of the things, Andrew I'll get your thoughts and reaction to this because Ill make an observation and you guys can comment and tell me I'm all wet, fell off the deep end or what not. Last year HP had great marketing around the machine. I love that Star Trek ad. It was beautiful and it was just... A machine is very, a great marketing technique. I mean use the machine... So a lot of people set expectations on the machine You saw articles being written maybe these people didn't understand it. Little bit pulled back, almost dampered down a little bit in terms of the marketing of the machine, other than the bin. Is that because you don't yet know what it's going to look like? Or there's so many broader possibilities where you're trying to set expectations? Cause the machine certainly has a lot of range and it's almost as if I could read your minds you don't want to post the position too early on what it could do. And that's my observation. Why the pullback? I mean certainly as a marketer I'd be all over that. >> Andrew: Yeah, I think part of it has been intentional just on how the ecosystem, we need the ecosystem developed kind of around this at the same time. Meaning, there are a lot of kind of moving parts to it whether it's around the open source community and kind of getting their head wrapped around what is this new architecture look like. We've got things like you know the Jin Zee Consortium where we're pouring a lot of our understanding and knowledge into that. And so we need a lot of partners, we know we're in a day and an age where look there's no single one company that's going to do every piece and part themselves. So part of it is kind of enough to get out there, to get the buzz, get the excitement to get other people then on board and now we have been heads down especially this last six months of... >> John: Jamming hard on it. >> Getting it all together. You know you think about what we showed first essentially first booted the thing in November and now you know we've got it running at this scale, that's really been the focus. But we needed a lot of that early engagement, interaction to get a lot of the other, members of the ecosystem kind of on board and starting to contribute. And really that's where we're at today. >> John: It's almost you want it let it take its own course organically because you mentioned just on the cyber surveillance opportunity around the crunching, you kind of don't know yet what the killer app is right? >> And that's the great thing of where we're at today now that we have kind of the prototype running at scale like this, it is allowing us to move beyond, look we've had the simulators to work with, we've had kind of emulation vehicles now you've got the real thing to run actual workloads on. You know we had the announcement around DZ and E as kind of an early early example, but it really now will allow us to do some refinement that allows us to get to those product concepts. >> Dave: I want to just ask the closing question. So I've had this screen here, it's like the theater, and I've been seeing these great things coming up and one was "Moore's Law is dead." >> Oh that was my session this morning. >> Another one was block chain. And unfortunately I couldn't hear it but I could see the tease. So when you guys come to work in the morning what's kind of the driving set of assumptions for you? Is it just the technology is limitless and we're going to go figure it out or are there things that sort of frame your raison d'etre? That drive your activities and thinking? And what are the fundamental assumptions that you guys use to drive your actions? >> Kirk: So what's been driving me for the last couple years is this exponential growth of information that we create as a species. That seems to have no upper bounding function that tamps it down. At the same time, the timeframe we want to get from information, from raw information to insight that we can take action on seems to be shrinking from days, weeks, minutes... Now it's down to micro seconds. If I want to have an intelligent power grid, intelligent 3G communication, I have to have micro seconds. So if you look at those two things and at the same time we just have to be the lucky few who are sitting in these seats right when Moore's Law is slowing down and will eventually flatten out. And so all the skills that we've had over the last 28 years of my career you look at those technologies and you say "Those aren't the ones that are going "to take us forward." This is an opportunity for us to really look and examine every piece of this, because if was something we could of just can't we just dot dot dot do one thing? We would do it, right? We can't just do one thing. We have to be more holistic if we're going to create the next 20, 30, 40 years of innovation. And that's really what I'm looking at. How do we get back exponential scaling on supply to meet this unending exponential demand? >> Dave: So technically I would imagine, that's a very hard thing to balance because the former says that we're going to have more data than we've ever seen. The latter says we've got to act on it fast which is a great trend for memory but the economics are going to be such a challenge to meet, to balance that. >> Kirk: We have to be able to afford the energy, and we have to be able to afford the material cost, and we have to be able to afford the business processes that do all these things. So yeah, you need breakthroughs. And that's really what we've been doing. And I think that's why we're so fortunate at Hewlett Packard Enterprise to have the labs team but also that world class engineering and that world class supply chain and a services team that can get us introduced to every interesting customer around the world who has those challenging problems and can give us that partnership and that insight to get those kind of breakthroughs. >> Dave: And I wonder if there will be a tipping point, if the tipping point will be, and I'm sure you've thought about this, a change in the application development model that drives so much value and so much productivity that it offsets some of the potential cost issues of changing the development paradigm. >> And I think you're seeing hints of that. Now we saw this when we went from systems of record, OLTP systems, to systems of engagement, mobile systems, and suddenly new ways to develop it. I think now the interesting thing is we move over to systems of action and we're moving from programmatic to training. And this is this interesting thing if you have those data bytes of data you can't have a pair of human eyeballs in front of that, you have to have a machine learning algorithm. That's the only thing that's voracious enough to consume this data in a timely enough fashion to get us answers, but you can't program it. We saw those old approaches in old school A.I., old school autonomous vehicle programs, they go about 10 feet, boom, and they'd flip over, right? Now you know they're on our streets and they are functioning. They're a little bit raw right now but that improvement cycle is fantastic because they're training, they're not programming. >> Great opportunity to your point about Moore's Law but also all this new functionality that has yet been defined, is right on the doorstep. Andrew, Kirk thank you so much for sharing. >> Andrew: Thank you >> Great insight, love Hewlett Packard Labs love the R&D conversation. Gets us a chance to go play in the wild and dream about the future you guys are out creating it congratulations and thanks for spending the time on The Cube, appreciate it. >> Thanks. >> The Cube coverage will continue here live at Las Vegas for HPE Discover 2017, Hewlett Packard Enterprises annual event. We'll be right back with more, stay with us. (bright music)

>> Announcer: Live from Las Vegas, it's the CUBE! Covering HPE Discover 2017. Brought to you by Hewlett Packard Enterprise. >> Hey, welcome back, everyone. We are live here in Las Vegas for SiliconANGLE Media's CUBE exclusive coverage of HPE Discover 2017. I'm John Furrier, my co-host, Dave Vellante. Our next guest is Kirk Bresniker, fellow and VP chief architect of Hewlett Packard Labs, and Natalia Vassilieva, senior research manager, Hewlett Packard Labs. Did I get that right? >> Yes! >> John: Okay, welcome to theCUBE, good to see you. >> Thank you. >> Thanks for coming on, really appreciate you guys coming on. One of the things I'm most excited about here at HPE Discover is, always like to geek out on the Hewlett Packard Labs booth, which is right behind us. If you go to the wide shot, you can see the awesome display. But there's some two things in there that I love. The Machine is in there, which I love the new branding, by the way, love that pyramid coming out of the, the phoenix rising out of the ashes. And also Memristor, really game-changing. This is underlying technology, but what's powering the business trends out there that you guys are kind of doing the R&D on is AI, and machine learning, and software's changing. What's your thoughts as you look at the labs, you look out on the landscape, and you do the R&D, what's the vision? >> One of the things what is so fascinating about the transitional period we're in. We look at the kind of technologies that we've had 'til date, and certainly spent a whole part of my career on, and yet all these technologies that we've had so far, they're all kind of getting about as good as they're going to get. You know, the Moore's Law semiconductor process steps, general-purpose operating systems, general-purpose microprocessors, they've had fantastic productivity growth, but they all have a natural life cycle, and they're all maturing. And part of The Machine research program has been, what do we think is coming next? And really, what's informing us as what we have to set as the goals are the kinds of applications that we expect. And those are data-intensive applications, not just petabytes, exabytes, but zettabytes. Tens of zettabytes, hundreds of zettabytes of data out there in all those sensors out there in the world. And when you want to analyze that data, you can't just push it back to the individual human, you need to employ machine learning algorithms to go through that data to call out and find those needles in those increasingly enormous haystacks, so that you can get that key correlation. And when you don't have to reduce and redact and summarize data, when you can operate on the data at that intelligent edge, you're going to find those correlations, and that machine learning algorithm is going to be that unbiased and unblinking eye that's going to find that key relationship that'll really have a transformational effect. >> I think that's interesting. I'd like to ask you just one follow-up question on that, because I think, you know, it reminds me back when I was in my youth, around packets, and you'd get the buffer, and the speeds, and feeds. At some point there was a wire speed capability. Hey, packets are moving, and you can do all this analysis at wire speed. What you're getting at is, data processing at the speed of, as fast as the data's coming in and out. Is that, if I get that right, is that kind of where you're going with this? Because if you have more data coming, potentially an infinite amount of data coming in, the data speed is going to be so high-velocity, how do you know what a needle looks like? >> I think that's a key, and that's why the research Natalia's been doing is so fundamental, is that we need to be able to process that incredible amount of information and be able to afford to do it. And the way that you will not be able to have it scale is if you have to take that data, compress it, reduce it, select it down because of some pre-determined decision you've made, transmit it to a centralized location, do the analysis there, then send back the action commands. Now, we need that cycle of intelligence measurement, analysis and action to be microseconds. And that means it needs to happen at the intelligent edge. I think that's where the understanding of how machine learning algorithms, that you don't program, you train, so that they can work off of this enormous amount of data, they voraciously consume the data, and produce insights. That's where machine learning will be the key. >> Natalia, tell us about your research on this area. Curious. Your thoughts. >> We started to look at existing machine learning algorithms, and whether their limiting factors today in the infrastructure which don't allow to progress the machine learning algorithms fast enough. So, one of the recent advances in AI is appearance, or revival, of those artificial neural networks. Deep learning. That's a very large hype around those types of algorithms. Every speech assistant which you get, Siri in your phone, Cortana, or whatever, Alexa by Amazon, all of them use deep learning to train speech recognition systems. If you go to Facebook and suddenly it starts you to propose to mark the faces of your friends, that the face detection, face recognition, also that was deep learning. So that's a revival of the old artificial neural networks. Today we are capable to train byte-light enough models for those types of tasks, but we want to move forward. We want to be able to process larger volumes of data, to find more complicated patterns, and to do that, we need more compute power. Again, today, the only way how you can add more compute power to that, you scale out. So there is no compute device on Earth today which is capable to do all the computation. You need to have many of them interconnect together, and they all crunch numbers for the same problem. But at some point, the communication between those nodes becomes a bottleneck. So you need to let know laboring node what you achieved, and you can't scale out anymore. Adding yet another node to the cluster won't lead up to the reduction of the training time. With The Machine, when we have added the memory during computing architecture, when all data seeds in the same shared pool of memory, and when all computing nodes have an ability to talk to that memory. We don't have that limitation anymore. So for us, we are looking forward to deploy those algorithms on that type of architecture. We envision significant speedups in the training. And it will allow us to retrain the model on the new data, which is coming. To do not do training offline anymore. >> So how does this all work? When HP split into two companies, Hewlett Packard Labs went to HPE and HP Labs went to HP Ink. So what went where, and then, first question. Then second question is, how do you decide what to work on? >> I think in terms of how we organize ourselves, obviously, things that were around printing and personal systems went to HP Ink. Things that were around analytics, enterprise, hardware and research, went to Hewlett Packard Labs. The one thing that we both found equally interesting was security, 'cause obviously, personal systems, enterprise systems, we all need systems that are increasingly secure because of the advanced, persistent threats that are constantly assaulting everything from our personal systems up through enterprise and public infrastructure. So that's how we've organized ourselves. Now in terms of what we get to work on, you know, we're in an interesting position. I came to Labs three years ago. I used to be the chief technologist for the server global business unit. I was in the world of big D, tiny R. Natalia and the research team at Labs, they were out there looking out five, 10, 15, or 20 years. Huge R, and then we would meet together occasionally. I think one of the things that's happened with our machine advanced development and research program is, I came to Labs not to become a researcher, but to facilitate that communication to bring in the engineering, the supply chain team, that technical and production prowess, our experience from our services teams, who know how things actually get deployed in the real world. And I get to set them at the bench with Natalia, with the researchers, and I get to make everyone unhappy. Hopefully in equal amounts. That the development teams realize we're going to make some progress. We will end up with fantastic progress and products, both conventional systems as well as new systems, but it will be a while. We need to get through, that's why we had to build our prototype. To say, "No, we need a construction proof of these ideas." The same time, with Natalia and the research teams, they were always looking for that next horizon, that next question. Maybe we pulled them a little bit closer, got a little answers out of them rather than the next question. So I think that's part of what we've been doing at the Labs is understanding, how do we organize ourselves? How do we work with the Hewlett Packard Enterprise Pathfinder program, to find those little startups who need that extra piece of something that we can offer as that partnering community? It's really a novel approach for us to understand how do we fill that gap, how do we still have great conventional products, how do we enable breakthrough new category products, and have it in a timeframe that matters? >> So, much tighter connection between the R and the D. And then, okay, so when Natalia wants to initiate a project, or somebody wants Natalia to initiate a project around AI, how does that work? Do you say, "Okay, submit an idea," and then it goes through some kind of peer review? And then, how does it get funded? Take us through that. >> I think I'll give my perspective, I would love to hear what you have from your side. For me, it's always been organic. The ideas that we had on The Machine, for me, my little thread, one of thousands that's been brought in to get us to this point, started about 2003, where we were getting ready for, we're midway through Blade Systems C-class. A category-defining product. A absolute home run in defining what a Blade system was going to be. And we're partway through that, and you realize you got a success on your hands. You think, "Wow, nothing gets better than this!" Then it starts to worry, what if nothing gets better than this? And you start thinking about that next set of things. Now, I had some insights of my own, but when you're a technologist and you have an insight, that's a great feeling for a little while, and then it's a little bit of a lonely feeling. No one else understands this but me, and is it always going to be that way? And then you have to find that business opportunity. So that's where talking with our field teams, talking with our customers, coming to events like Discover, where you see business opportunities, and you realize, my ingenuity and this business opportunity are a match. Now, the third piece of that is someone who can say, a business leader, who can say, "You know what?" "Your ingenuity and that opportunity can meet "in a finite time with finite resources." "Let's do it." And really, that's what Meg and leadership team did with us on The Machine. >> Kirk, I want to shift gears and talk about the Memristor, because I think that's a showcase that everyone's talking about. Actually, The Machine has been talked about for many years now, but Memristor changes the game. It kind of goes back to old-school analog, right? We're talking about, you know, login, end-login kind of performance, that we've never seen before. So it's a completely different take on memory, and this kind of brings up your vision and the team's vision of memory-driven computing. Which, some are saying can scale machine learning. 'Cause now you have data response times in microseconds, as you said, and provisioning containers in microseconds is actually really amazing. So, the question is, what is memory-driven computing? What does that mean? And what are the challenges in deep learning today? >> I'll do the machine learning-- >> I will do deep learning. >> You'll do the machine learning. So, when I think of memory-driven computing, it's the realization that we need a new set of technologies, and it's not just one thing. Can't we just do, dot-dot-dot, we would've done that one thing. This is more taking a holistic approach, looking at all the technologies that we need to pull together. Now, memories are fascinating, and our Memristor is one example of a new class of memory. But they also-- >> John: It's doing it differently, too, it's not like-- >> It's changing the physics. You want to change the economics of information technology? You change the physics you're using. So here, we're changing physics. And whether it's our work on the Memristor with Western Digital and the resistive RAM program, whether it's the phase-change memories, whether it's the spin-torque memories, they're all applying new physics. What they all share, though, is the characteristic that they can continue to scale. They can scale in the layers inside of a die. The die is inside of a package. The package is inside of a module, and then when we add photonics, a transformational information communications technology, now we're scaling from the package, to the enclosure, to the rack, cross the aisle, and then across the data center. All that memory accessible as memory. So that's the first piece. Large, persistent memories. The second piece is the fabric, the way we interconnect them so that we can have great computational, great memory, great communication devices available on industry open standards, that's the Gen-Z Consortium. The last piece is software. New software as well as adapting existing productive programming techniques, and enabling people to be very productive immediately. >> Before Natalia gets into her piece, I just want to ask a question, because this is interesting to me because, sorry to get geeky here, but, this is really cool because you're going analog with signaling. So, going back to the old concepts of signaling theory. You mentioned neural networks. It's almost a hand-in-glove situation with neural networks. Here, you have the next question, which is, connect the dots to machine learning and neural networks. This seems to be an interesting technology game-changer. Is that right? I mean, am I getting this right? What's this mean? >> I'll just add one piece, and then hear Natalia, who's the expert on the machine learning. For me, it's bringing that right ensemble of components together. Memory technologies, communication technologies, and, as you say, novel computational technologies. 'Cause transistors are not going to get smaller for very much longer. We have to think of something more clever to do than just stamp out another copy of a standard architecture. >> Yes, you asked about changes of deep learning. We look at the landscape of deep learning today, and the set of tasks which are solved today by those problems. We see that although there is a variety of tasks solved, most of them are from the same area. So we can analyze images very efficiently, we can analyze video, though it's all visual data, we can also do speech processing. There are few examples in other domains, with other data types, but they're much fewer. It's much less knowledge how to, which models to train for those applications. The thing that one of the challenges for deep learning is to expand the variety of applications which it can be used. And it's known that artificial neural networks are very well applicable to the data where there are many hidden patterns underneath. And there are multi-dimensional data, like data from sensors. But we still need to learn what's the right topology of neural networks to do that. What's the right algorithm to train that. So we need to broaden the scope of applications which can take advantage of deep learning. Another aspect is, which I mentioned before, the computational power of today's devices. If you think about the well-known analogy of artificial neural network in our brain, the size of the model which we train today, the artificial neural networks, they are much, much, much smaller than the analogous thing in our brain. Many orders of magnitude. It was shown that if you increase the size of the model, you can get better accuracy for some tasks. You can process a larger variety of data. But in order to train those large models, you need more data and you need more compute power. Today, we don't have enough compute power. Actually did some computation, though in order to train a model which is comparable in size with our human brain, you will need to train it in a reasonable time. You will need a compute device which is capable to perform 10 to the power of 26 floating-point operations per second. We are far, far-- >> John: Can you repeat that again? >> 10 to the power of 26. We are far, far below that point now. >> All right, so here's the question for you guys. There's all this deep learning source code out there. It's open bar for open source right now. All this goodness is pouring in. Google's donating code, you guys are donating code. It used to be like, you had to build your code from scratch. Borrow here and there, and share in open source. Now it's a tsunami of greatness, so I'm just going to build my own deep learning. How do customers do that? It's too hard. >> You are right on the point to the next challenge of deep learning, which I believe is out there. Because we have so many efforts to speed up the infrastructure, we have so many open source libraries. So now the question is, okay, I have my application at hand. What should I choose? What is the right compute node to the deep learning? Everybody use GPUs, but is it true for all models? How many GPUs do I need? What is the optimal number of nodes in the cluster? And we have a research effort towards to answer those questions as well. >> And a breathalyzer for all the drunk coders out there, open bar. I mean, a lot of young kids are coming in. This is a great opportunity for everyone. And in all seriousness, we need algorithms for the algorithms. >> And I think that's where it's so fascinating. We think of some classes of things, like recognizing written handwriting, recognizing voice, but when we want to apply machine learning and algorithms to the volume of sensor data, so that every manufactured item, and not only every item we manufacture, but every factory that can be fully instrumented with machine learning understanding how it can be optimized. And then, what of the business processes that are feeding that factory? And then, what are the overall economic factors that are feeding that business? And instrumenting and having this learning, this unblinking, unbiased eye examining to find those hidden correlations, those hidden connections, that could yield a very much more efficient system at every level of human enterprise. >> And the data's more diverse now than ever. I'm sorry to interrupt, but in Voice you mentioned you saw Siri, you see Alexa, you see Voice as one dataset. Data diversity's massive, so more needles, more types of needles than ever before. >> In that example that you gave, you need a domain expert. And there's plenty of those, but you also need a big brain to build the model, and train the model, and iterate. And there aren't that many of those. Is the state of machine learning and AI going to get to the point where that problem will solve itself, or do we just need to train more big brains? >> Actually, one of the advantages of deep learning that you don't need that much effort from the domain experts anymore, from the step which was called future engineering, like, what do you do with your data before you throw machine learning algorithm into that? So they're, pretty thing, cool thing about deep learning, artificial neural network, that you can throw almost raw data into that. And there are some examples out there, that the people without any knowledge in medicine won the competition of the drug recognition by applying deep neural networks to that, without knowing all the details about their connection between proteins, like that. Not domain experts, but they still were able to win that competition. Just because algorithm that good. >> Kirk, I want to ask you a final question before we break in the segment because, having spent nine years of my career at HP in the '80s and '90s, it's been well-known that there's been great research at HP. The R&D has been spectacular. Not too much R, I mean, too much D, not enough applied, you mention you're bringing that to market faster, so, the question is, what should customers know about Hewlett Packard Labs today? Your mission, obviously the memory-centric is the key thing. You got The Machine, you got the Memristor, you got a novel way of looking at things. What's the story that you'd like to share? Take a minute, close out the segment and share Hewlett Packard Labs' mission, and what expect to see from you guys in terms of your research, your development, your applications. What are you guys bringing out of the kitchen? What's cooking in the oven? >> I think for us, it is, we've been given an opportunity, an opportunity to take all of those ideas that we have been ruminating on for five, 10, maybe even 15 years. All those things that you thought, this is really something. And we've been given the opportunity to build a practical working example. We just turned on the prototype with more memory, more computation addressable simultaneously than anyone's ever assembled before. And so I think that's a real vote of confidence from our leadership team, that they said, "Now, the ideas you guys have, "this is going to change the way that the world works, "and we want to see you given every opportunity "to make that real, and to make it effective." And I think everything that Hewlett Packard Enterprise has done to focus the company on being that fantastic infrastructure, provider and partner is just enabling us to get this innovation, and making it meaningful. I've been designing printed circuit boards for 28 years, now, and I must admit, it's not as, you know, it is intellectually stimulating on one level, but then when you actually meet someone who's changing the face of Alzheimer's research, or changing the way that we produce energy as a society, and has an opportunity to really create a more sustainable world, then you say, "That's really worth it." That's why I get up, come to Labs every day, work with fantastic researchers like Natalia, work with great customers, great partners, and our whole supply chain, the whole team coming together. It's just spectacular. >> Well, congratulations, thanks for sharing the insight on theCUBE. Natalia, thank you very much for coming on. Great stuff going on, looking forward to keeping the progress and checking in with you guys. Always good to see what's going on in the Lab. That's the headroom, that's the future. That's the bridge to the future. Thanks for coming in theCUBE. Of course, more CUBE coverage here at HP Discover, with the keynotes coming up. Meg Whitman on stage with Antonio Neri. Back with more live coverage after this short break. Stay with us. (energetic techno music)

live from the sands convention center las vegas nevada extracting a signal from the noise it's the cube covering HP discover 2015 brought to you by HP and now your host dave vellante welcome back to HP discover everybody this is dave vellante check out HP discovered on social for all the social streams the video the content the special access patrick osborne is here from HP cube alum and he's joined by Bill Walker of 20th Century Fox gents welcome to the cube good thank you yeah thanks for having us discovering another discover a little different this year Patrick we got Meg talking about business outcomes and absolutely uber and their yeah all the kinds of some shit models are very different I mean obviously you come out here every year for the past number of years and you know it's all about the technology i'm always wowed by the broad you know portfolio that we have but really at the end of the day I think some of the messaging to the customers is you know we're here to help you solve your problems and parts of that is technology part of its services so this hot sort of new high-level messaging around transformation and helping people achieve these business outcomes I think it's a good fresh start yes so bill your business going through some interesting transformations yes today to talk about the high level the drivers in your business the yet new competitors you got you got huge opportunities to go into this digital transformation you've sort of early on in that so maybe talk about some of the drivers in your business sure absolutely I think for us you know you really hit the nail on the head in the sense that it's really been about the physical to digital transformation that the industry is you know kind of going through and also Fox is and you know on the infrastructure side and the IT side we're trying to support that you know as best we can and you know the name of the game lately has been speed to market right so we partnered very tightly with HP on not only the hardware but the software side in you know building out kind of a brand new digital supply chain environment in Las Vegas actually right here and one of our major data centers where we deliver all of our digital content to all of our providers so EST VOD providers like amazon and itunes as well as you know major broadcasters so you've got a facility out here that is essentially your your cloud yes yes we do that that's our primary place where we deliver everything out of its it's great we're using all HP hardware and software there so we're customers across the board in the sense that we have blades we've got three par we're using store once as well as the HP software stack like cloud system on top of that that part is part of a super nap yes yes so yeah we we're facility we're in super net we love it it's a great facility we moved there like a little over two years ago and it's it's been awesome experience that made it into the any of the movies no it must hey I know well they it's impressive on the outside and the inside right yeah was it the old member the robocop oh yeah they have that storagetek tape library way magnet yeah they were great at four days these impressive data centers look amazing so so talk a little bit more about the you called it the digital supply chain that's a powerful concept what's behind that yeah so you know we we've obviously been in the physical supply chain business for a while on the home entertainment side so thank DVDs you know blu-rays that kind of thing but as we transition from people buying physical media to digital media a lot of the workflows and you know the supply chain aspect of it is still there but now we're talking digital and not physical so one of the things we've done at Fox is we've you know we've created what we call our digital supply chain so you've got you know they not only you know things like content delivery in there but you've got you know watermarking you know all the all the hallmarks of what you would need in a in a digital environment to deliver that customer you know quality product from end to end and protect your IP yeah exactly where T is a big one so we'll talk about more about security data maybe there's a general topic and then let's go to dig deeper every good for sure I mean security is obviously one of our big drivers I mean obviously with everything that's been in the news lately we're no different in the sense that we take it very very seriously you know on the data protection front like I said we're big store wants customers we love the product we're using it heavily in our in our data center to protect our content as well as our data so how much time let's unpack that a little bit what's it what's it look like laughs so you said a bunch of different you know HP products can you can you help us to understand how much you know storage kind of servers what kind of apps paint a picture of your your infrastructure for sure so we've got you know a lot actually several racks of gear 3par like I said we're big three part customers so we have several racks a three part that we're using kind of across the board a lot on the database side you know and heiio scenarios storeonce is kind of that underpinning piece that everything funnels back to that provides you know data deduplication backup archival that kind of thing okay so can we talk more about sort of your objectives of protecting data I mean obviously don't lose it but there's you know time to recover there's data loss how are you approaching that yep so we we've got you know our primary facility at switch as well as a dr facility off-site we're using store once we r you know we've got them in both places we're doing replication both ways to ensure you know if we were to have a vent at one facility or we didn't have data available we can quickly recover from the other you know rtly is it's been a great success for us because we've moved from tape-based you know back up and i really didn't mention that but you know where we came from you know two two and a half years ago you know from our LA and chandler data centers we have very very heavy investment in tape infrastructure and one of the things we into decided when we went to this new you know environment in Las Vegas is we wanted it to be completely tapeless you know to be flexible right in that environment and you know we pick store once we went all disk-based and you know RTO wise is fantastic because you know as opposed to tape if you have an event if you happen to not have the tape on site your RT 0 is dictated you know kind of by when you can get the tape back with the exit yes yes fast as you can get here right with the store once though it's just there we can we can you know bring it back in minutes and in fact we actually had a kind of not funny but but interesting incident happened early on where you know we kind of had an hoops incident where somebody deleted a vm and you know with store once we already had it had it there we were able to recover it in minutes and have it working again which is not something we were able to do in in previous iteration so it's really RTO is your primary supposed to RP oh yeah and Patrick I'm sure you see it all over the board with with customers right i mean yeah absolutely i mean it is the whole environment is based on this digital content that it's the lifeblood of you know what they're doing as a business and what they're delivering you know to your customers so that what we're seeing in the data protection standpoint is that more apps are mission critical right they're moving from business-critical the mission-critical the RTOS and our feos are definitely more aggressive you know month by month quarter-by-quarter people are moving from days two hours to minutes and we want to have more they won't have access to more data that's near line and online for so you can basically restore that right away so we're seeing people architecting solutions for store ones where they'd want a couple weeks maybe a couple months of data stored on that from a vaca perspective now we're talking having conversations about three to five years seven years 10 years right so definitely a paradigm shift in terms of data protection and the clouds change that a lot absolutely how so talk about that I think you know because the cloud there's not really a concept of tape per se I mean I know you know some providers have a delayed you know a kind of recovery type mechanism but I think in general people are assuming you've got the data on disk or you know available somewhere and you're able to recall it right and you know almost any cloud provider I think today is structured that way and has some kind of object storage where you can back up to but it's an online situation right and I think that's kind of become the new the new standard for the expectation of you know it's dumping it into an object store an able to recover from that yeah i like to say backup is one thing recoveries everything so there's a software component that that's the good that and what about tape you using I mean you must be used tape in your business right we do still have tape but I think where it makes sense we're trying to get rid of it you know we obviously there's a lot of physical nature with tape you know for us it's also manpower you have to have you know it's a lot of manpower involved in just managing tape and whatnot so where we can especially strategically in our data centers we're trying to get out out of using tape and using you know just a long-term archiving long-term retention with your digital assets obviously you would take for that we definitely have scenarios at the studio where it's still used for sure yeah but not obviously not for backup no yeah yeah I think you know with my team we're starting to think of the the notion of backup maybe in the traditional sense it's kind of going away because I think what people think of backup they think tape they think these scenarios and I think it's you know it's changing to more of a you know having having various generations on disk so you have the concept of you know okay being able to go back in time but near real-time recovery a time machine for the enterprise yeah yeah we talk when we talk to customers it's usually around the areas of application data protection or a service data protection and then long term preservation of assets as opposed to backup and archive right so there because they have a very different business processes around them and you can apply different technologies to the two of them so in some some technologies are appropriate for one some are appropriate for the others so we're you know we're seeing a lot of customers really focus on day one of how I'm going to protect that data how I'm going to make data protection an automatic part of the infrastructure so I don't have to have separate backup team and separate you know specific processes this whole area of things being sort of automatically protected as part of the infrastructure is it's definitely worth a lot but I think that's a really important point to make data protection has historically been a bolt on right uh we got to protect the data yep and so you're saying that you're finally seeing customers integrate data protection as part of the fundamental solution absolutely the two things so the two things that now I'm seeing it from a fundamental part of the initial solution bill that is data protections built in right so you're seeing the techniques of snapshot and replication being melded with you know backup techniques like policy management indexing and all that kind of stuff right and then the other sort of conversation we're having with people who put infrastructure in place is how am I going to get off this in five years five to seven years right so because the amount the size of the data sets are becoming so big that replicating data data migrations migrating your backup data are there they're difficult the difficult task so people are doing a lot more planning ahead to understand how am I going to protect this data now right from a different set of scenarios and how am I going to start do some hardware lifecycle management from an infrastructure standpoint underneath that data as I go into the future are you a data protector customer what do you use not not currently although we are you know we are looking at it for sure yeah today we're actually net back up yeah yeah okay I mean it's a lot of ways to skin that kappa yeah that's still not in your group is it nope nice meg just make it but they have a saying this for a decade the data protect there should be a part of the storage solution I mean it's anyway we work with them every day fantastic I got a tight relationship yeah yeah I'm still get paid for it do get paid for it that's good okay well that's a start yeah yeah awesome alright let's see what else uh what's going on the show this year with you Oh lots of stuff of the show so obviously you you heard about flash right yeah we've heard a lot of flashes fam yeah it's great mokin fast yeah so there's a in it's funny there's a lot of implications to flash even on data protection right so this is a big area for us obviously is huge in the market the media and the speed in what flash brings to the table allows you to do some different things from Dave protection standpoint as well right so this concept of copy data management you've heard this in terms of now i can take copies of databases copies of data sets serve them up to uat test development environment so you know your speed of development by having access to copies of that you know of that original production data set is being enabled by media like flash no flash you can do lots of random i/o you can with with modern architectures like three par for example it's multi-tenant right you have quality of service on there so now we're in the past you'd have to clone a number of data sets copy them off restore them from backups for the purposes of having a you know a test data set now you can run all that on the same infrastructure so flash is great from a performance standpoint for you know speeding up your transactions feeding of your database your workflow but there's a lot of other things that allows us to do to help the overall speed of development which is kind of cool so the copy data management things interesting I mean yeah so active feos obviously popularizing it Dell fixes another one yeah the problem is they want me to rip out or not use my might reap are snapshots and I love my three parts don't want to put in a whole new infrastructure around it so is there I mean the opportunity you got a catalog in in-store wants maybe I could use that somehow that technology so that's what we're doing right so we're taking these techniques that you've had in traditional backup for years and then things you have on primary storage right snapshots and replication but with the with the advantages of flash now you're able to do a lot more with it and bringing those two techniques together we're doing it with software we're doing it with sort of extensible protocols and SD SDKs on the infrastructure itself so we're not introducing any sort of sand virtualization techniques or you know in line fibre channel you know type of virtualization technology we're allowing you do that as a part of the infrastructure itself so you know we're combining things like three par with Recovery Manager central and store ones to provide those type of experience I think the killer app they're Jews potentially is test dev right i mean if you can take copies that are more current give it to the especially with flash give it to the developers but they're not working on you know n minus three copies absolutely yeah and they're way more productive I know what kind of discussions are you having internal how do you service the developer community are they what kind of pressures are they putting on you bill yeah it's that probably the same things you've heard I mean you know agility speed I know for us you know because we're we're big on the cloud journey right now in terms of delivering you know private cloud services for our customers inside Fox one of the areas where we're actively really striving for is to do you know some deeper integration with some of the dev teams where they've got you know kind of closed loop cycles you know DevOps type cycles that they're developing with you know familiar tooling which you know is in the market that out there the Jenkins etc you know my team we're definitely working on trying to integrate a lot of the automation we're doing around cloud with what they're doing on the test dev site to kind of create a nice you know cohesive whole so you know rather than delivering just a server to them we can deliver an entire in a build environment and tear it down you know build it up and tear down dynamic flames so you mentioned a store once customer talked about RTO being really on the primary metric that you're trying to optimize waiting sir patrick comes out to California you know hits the beach makes a quick sales call writes it off wait what do you want to know from him yeah okay Oh with you that the time so what kind of discussions do you have with with Patrick around where you want to where you want to go what you want out of the product when I roadmap to the club yeah I think one of the things you know we're as I said before you know we're three par and store wants customers and I think we're where we see you know things headed in the future we'd love to see even deeper integration with three par and store once and you know we're actually having a discussion my team before this and one of the things they threw out there like hey why can't we just combine them into one product you know and I know right now they're separate but sure maybe maybe in the near future you know the the notion of having this this external device it's separate from 3par that you're you know moving to you know maybe maybe some of that gets melded together and what does that do for you it minimizes the need to manage another appliance absolutely right so it simplifies your your infrastructure tighter integration yep so better reliability and yeah I mean you know we're like a lot of technology shops in the sense that well we're trying to squeeze you know as much as we can you know with the team that we have in terms of Technology and still deliver a lot of services so you know we're always looking to if we can take two and make it one or you know that kind of scenario for simplification that's what we want to do too and more with less but no so let me ask you a question when you do more with less and you've dropped money to the CFO's bottom line today they carve off the you get a lick off that cone or they say hey they'll nice job here's a little you know we'll take twenty percent of that savings and give it back yeah it's I for us it's just the you know the slap on the back the handshake that we did it what are you seeing without me from our mothers hear from our product portfolio standpoint we're simplifying right we want to have I think we're in a unique position in terms of we want to be the best storage division inside of HP Enterprise right we don't want to be the best storage division standalone right so that affords us a lot of experiences for that we can bring to the customer when you bring in you know the blades and compute and networking and storage I mean what you see up on stage with one view and all of our element managers you know it's it doesn't sound sexy at the end of the day but basically having a same look and feel the same taxonomy that you use for all of our products is like a huge simplification for customers not having to you know learn new you is and why not so we have other competitors who you know they're bringing 7 10 12 you know different architectures for a primary storage the table right we're consolidating that and providing customers that the ability to they can go in a cost optimized software to find you know deployment model you can have appliances that are tuned in high performance same look and feel same CLI same utilities same data services so we want choice but it has to be simple because too much so what do you think about that whole software-defined mean is that the future is it this Patrick sort of implying sort of the the lower-cost sort of software only model what do you guys say yeah well we're big believers in software to find you know like I said we're we're kind of in it on you know on the whole stack in the sense that we know not only a part where we have software with HP we're also doing a lot with the team around Helion OpenStack right now and you know one of the big bets we're making is we think openstax going to be big we you know I know internally when we've talked with you know a lot of the development teams the idea of API defined infrastructure that's more malleable is tremendously exciting so what are you in with OpenStack well so right now we're actually we're kind of in that you know early stage entire ya des you know trying to trying to get a feel for it cuz you know one of the things I always say you know right now with OpenStack is it's kind of a two-way street you know there's the infrastructure part of it that my team has to deliver but the the other side of it is really the developers you know getting their hands around it getting a feel for it you know maybe even doing some platform-as-a-service with Cloud Foundry you know that kind of thing and they're really developing for that platform and getting the most out of it because you know in a lot of cases you know you're coming from a traditional environment where you know you had physical servers you put virtualization on top of it everybody's kind of used to that maybe a single VM kind of scenario but when you move to something like OpenStack you kind of got to rethink how you approach application building just think all right gents we're out of time going to leave it there but Patrick last last word for you why HP why HP I think we've got some exciting times ahead of us this year right so unlocking some velocity and value for for everyone with HP Enterprise kind of like just to echo what I said before about you know we're a portfolio company that brings a lot of technology services to our customers and at the end of the day my bet is that standalone companies that focus on one thing like storage or one thing like network or specifically compute I don't see a path forward for that over time right customers are buying solutions and systems and converged art you know infrastructure how you see this you know hyper converge theme right HP is one of the few companies that can bring all those elements to our customers as part of the equation so that for me that's why I stay here and why we've got such a great technology path forward yeah the 80s and 90s are about disintegration of IT and creating those silos and now we're seeing the reintegration so Patrick a bill thanks very much for coming on the cube absolutely thank you so much to have you guys here all right all right keep it right to everybody will be back with our next guest right after this short break you

>>Live from Las Vegas, Nevada. It's a queue at HP. Discover 2014 brought to you by HP. >>Welcome back, everyone live here in Las Vegas for HP. Discover 2014. This is the cube we're out. We go where the action is. We're on the ground here at HP. Discover getting all the signals, sharing them with you, extracting the signal from the noise. I'm John furrier, founder of SiliconANGLE. I joined Steve Woolwich VP of product marketing at map art technologies. Great to see you welcome to the cube. Thank you. I know you got a plane to catch up, but I really wanted to squeeze you in because you guys are a leader in the big data space. You guys are in the top three, the three big whales map are Hortonworks, Cloudera. Um, you know, part of the original big data industry, which, you know, when we did the cube, when we first started the industry, you had like 30, 34 employees, total combined with three, one company Cloudera, and then Matt are announced and then Hortonworks, you guys have been part of that. Holy Trinity of, of early pioneers. Give us the update you guys are doing very, very well. Uh, we talked to you guys at the dupe summit last week. So Jack Norris for the party, give us the update what's going on with the momentum and the traction. And then I want to talk about some of the things with the product. >>Yeah. So we've seen a tremendous uptick in sales at map. Are we tripled revenue? We announced that publicly about a month ago. So we went up 300% in sales, over Q3, I'm sorry, Q1 of 2013. And I think it's really, you know, the maturity of the market. As people move more towards production, they appreciate the enterprise features. We built into the map, our distribution for Hadoop. So, um, you know, the stats I would share is that 80% of our customers triple the size of their cluster within the first 12 months and 50% of them doubled the size of the cluster because there's the, you know, they had that first production success use case and they find other applications and start rolling out more and more. So it's been great for us. >>You know, I always joke with Jack Norris, who's the VP of marketing over there. And John Frodo is the CEO about Matt bars, humbleness. You don't have the fanfare of all the height, depressed love cloud era. Now see they had done some pretty amazing things. They've had a liquidity event, so essentially kind of an IPO, if you will, that huge ex uh, financing from Intel and they're doing great big Salesforce. Hortonworks has got their open source play. You guys got, you got your heads down as well. So talk about that. How many employees you guys have and what's going on with the product? How many, how many new, what, how many products do you guys actually, >>We have, well, we have one product. So we have the map, our distribution for Hadoop, and it's got all the open source packages directly within it, but where we really innovate is in the course. So that's where we, we spent our time early on was really innovating that data platform to give everything within the Hadoop ecosystem, more reliability, better availability, performance, security scale, >>It's open source contributions to the court. And you guys put stuff on top of that, uh, >>And how it works. Yeah. And even some projects we lead the projects like with Apache Mahal and Apache drill, which is coming into beta shortly other projects, we commit and contribute back. But, um, so we take in the distribution, we're distributing all those projects, but where we really innovate is at that data platform level. So >>HP is a big data leader officer. They bought, uh, autonomy. They have HP Vertica. You guys are here. Hey, what are you doing here? Obviously we covered the cube, uh, the announcement with, uh, with, with HP Vertica, you here for that reason, is there other biz dev other activity going on other integration opportunities? >>Yeah, a few things. So, um, obviously the HP Vertica news was big. We went into general availability that solution the first week of may. So, um, what we have is the HP Vertica database integrated directly on top of our data platform. So it's this hybrid solution where you have full SQL database directly within your Hadoop distribution. Um, so it had a couple sessions on that. We had, uh, a nice panel discussion with our friends from Cloudera and Hortonworks. So really good discussion with HP about just the ecosystem and how it's evolving. The other things we're doing with HP now is, you know, we've got reference architectures on their hardware lines. So, um, you know, people can deploy Mapbox on the hardware of HP, but then also we're talking with the, um, the autonomy group about enterprise search and looking at a similar type of integration where you could have the search integrated directly into your Hadoop distro. And we've got some joint accounts we're piloting that she goes, now, >>You guys are integrating with HP pretty significantly that deals is working well. Absolutely. What's the coolest thing that you've seen with an HP that you can share. How so I asked you in the big data landscape, everyone's Bucher, you know, hunkering down, working on their feature, but outside in the real world, big data, it's not on the top of mind of the CIO, 24 7. It's probably an item that they're dressing. What have you seen and what have you been most impressed with at HP here? >>Yeah. Say, you know, this is my first HP event like this. I think the strategy they have is really good. I think in certain areas like the cloud in particular with the helium, I think they made a lot of early investments there and place some bets. And I think that's going to pay off well for them. And that marries pretty nicely with our strategy as well in terms of, you know, we have on-premise deployments, but we're also an OEM if you will, within Amazon web services. So we have a lot of agility in the cloud if you will. And I think as those products and the partnerships with HP, evolvable, we'll be playing a lot more with them in the cloud as well. >>I see that asks you a question. I want you to share with the folks out there in your own words, what is it about map bar that they may or may not understand or might not know about? Um, a little humble brag out there and share some, share some, uh, insight of, into, into map bar for folks that don't know you guys as a company and for the folks that may have a misperception of what you guys do shit share with them, with what, what map map is all about. >>Yeah. I mean, for me, I was in this space with Aster data and kind of the whole Hadoop and MapReduce area since 2008 and pretty familiar with everybody in the space. I really looked at Matt bars, the best technology hands down, you look at the Forrester wave and they rank us as having the best technology today, as well as product roadmap. I think the misperception is people think, oh, it's proprietary and close. It's actually the opposite of that. We have an unbiased open-source approach where we'll ship in support in our distribution, in the entire Apache spark stack. We're not selective over which projects within Apache spark. We support. Um, I feel like SQL on Hadoop. We support Impala as well as hive and other SQL on to do technologies, including the ability to integrate HP Vertica directly in the system. And it's because of the openness of our platform. I'd say it's actually more open because of the standards we've integrated into the data platform to support a lot of third-party tools directly within it. So there is no locked in the storage formats are all the same. The code that runs on top of the distribution from the projects is exactly the same. So you can build a project in hive or some other system, and you can port it between any of the distributions. So there isn't a, lock-in >>The end of the day, what the customers want is they want ease of integration. They want reliability. That's right. And so what are you guys working on next? What's the big, uh, product marketing roadmap that you can share with us? >>Yeah, I think for us, because of the innovations we did in the data platform allows us to support not only more applications, but more types of operational systems. So integrating things like fraud detection and recommendation engines directly with the analytical systems to really speed up that, um, accuracy and, and, uh, in targeting and detecting risk and things like that. So I think now over time, you know, Hadoop has sort of been this batch analytic type of platform, but the ability to converge operations and analytics in one system is really going to be enabled by technology like Matt BARR. >>How many employees do you guys have now? Uh, >>I'm not sure what our CFO would. Let me say that before. You can say we're over 200 at this point >>As well. And over five, the customers which got the data, you guys do summit graduations, we covered your relationship with HP during our big data SV. That was exciting. Good to see John Schroeder, big, very impressive team. I'm impressed with map. I will always have been. You guys have Stephanie kept your knitting saved. Are you going to do, and again, leading the big data space, um, and again, not proprietary is a very key word and that's really cool. So thanks for coming on. Like you really appreciate Steve. We'll be right back. This is the cube live in Las Vegas, extracting the city from the noise with map bar here at the HP discover 2014. We'll be right back here for the short break.

live from Las Vegas Nevada it's the cube at HP discover 2014 brought to you by HP the keynotes this afternoon meg whitman was just on a panel with thomas friedman and intel and satya nadella microsoft and pretty interesting i was it was interesting i'm here with Jeff Rick to note how passionate meg is about politics and government wow I'm she comforted by boat for Bobby Patrick is here we've been drilling down into cloud all day Bobby is the CMO of the HP Cloud Division a lot of new announcements coming on a lot of action and HP Cloud Bobby welcome to the cube yeah thank it's great to be here yeah good to see you so yeah good keynotes good good that was a good refresher you know a lot of these keynotes just products pushing and pushing we had some of that earlier but I thought it was a good eye opening refreshing right kind of discussion so it was very worthwhile but anyway you're relatively new to to HP to run to actually soon how's it going it's great it's exciting i joined it like a great time for the company we were gearing up for the big launch of our new brand HP Helion that that was launched on May seventh so just a little over a month ago and we hit the mark market hard globally it's a complete pull together of all of our products and services around cloud under a single brand customers love it and and it's really reiterated our commitment to OpenStack and you know it's great HP announced the billion dollar commitment to HP Helion over the next two years so it's backed by some some big funding that's a great time to come in so I saw that what is that would help us unpack that billion dollars it was big number right it's popular number right even we aren't buffin right her site Warren Buffett hehe underwrote the whole thing the March Madness right giving away a billion dollars for the perfect bracket right no longer a million does out of the abelian so what is that billion what does it go to what does it comprised yeah I mean it goes 2 r.d where where the most where the most active corporate sponsor behind OpenStack which is the fastest-growing open source project on the planet we are we have more contributors we have more team leads for the different projects and so we're working with the community we're hiring OpenStack experts always looking for the best in the world all around the world and we're then hardening and curating it in making a commercial now with our support and we believe it's the underpinning of the future of what we call hybrid cloud the ability to put some of your information some of your applications with an enterprise some of the public cloud some in different countries that matter for compliance reasons and to be able to move around between those different clouds in a very easy fashion so this money is going to that rd2 skills and to you know truly a global global launch so when you think about the sort of messaging for our HP Cloud what do you want customers to think about in the Helion brand and the HP Cloud yeah the number one thing is commitment to open standards so we are if you heard Martin Fink today talk about HP Labs and they're coming to open source we're all in on open source we believe it's the way to deliver innovation faster we can bring the market tech new technologies faster to customers so we're all into open source we are committed to the projects that matter to the next 20 years of IT and so that could emma has a real though we have to be to prove it with to say you know you can run our software on other hardware we think it'll be we'll have some optimal integrated solutions for you using our entire stack but this is about this is about eliminating vendor lock-in which is one of the biggest challenges at IT departments have faced in the last 20 years and so I think the commitment behind it open is at the core of our messaging so we should mention so Martin fake gave i really liked his presentation i have been safer I don't know for years that HP's got to get back to its roots right which are in fence right and I have not heard until today something that excited me about invention and we saw it today right now invention is not easy all we've talked about a lot that the previous administration cut cut cut by the bone right it takes a long time to turn that's Nisha but but we saw today think was put into that job for very particular reason I said about two things one it's a guy who's going to commercialize inventions answer the marketplace and two there's going to be a heavy systems focus so he basically showed a little leg on the machine which eventually is probably gonna be powering your clouds right he also announced HP is going to put forth a new open source operating system optimized for non-volatile memory not only a blank sheet of paper that they're going to work on with universities but also a Linux derivative stripped-down Linux driven and one for Android that was excited yeah I think what's great also is the cloud business actually falls under market so our our entire business worldwide in our cloud effort our rd on product development is all under martin who runs our CTO of our of our HP labs and when you look at the problems he's addressing with the machine and he's going after it's going after the massive scale challenges of the internet right and the massive scale challenge to the cloud and the day-to-day lose that we're all that we're all facing within the Internet of Things and so you know what's great is by being a part of the labs and being part of Martin's organization you know we're we're injecting that thinking into our cloud we're injecting it into our innovation and and you can see a road map here right you can see this this whole new architecture you talk about architecture that's been in existence since 1950 it was called the von Neumann architecture all the way to now and you know the world with copper at the core you know the world's in need of a new architecture and so it's great to be part of that there's that was a cool talk you talking about electrons photons and ions electrons compute compute autonomy photon photons communicate anions door right and that in essence is the future direction of where HP is going with the machine run a civ massive memory blowing away the volatility hierarchy blowing way ultimately slow spinning disks using memory store right as the platform for future systems I love it yeah he mentioned also but one thing that's close to my heart is the distributed mesh you saw that distributed mesh where we're different different hardware software combinations sit at different points of the you know the net work and they work together you know compute and data and that's really hybrid cloud you know hybrid cloud is putting compute workloads in certain areas and having data stored and distributed for maximum availability and doing that you know with self-service and doing that in a way that you know I see over nations can scale effectively yeah I think that you know as a marketing person you realize that customers want to know that your relevant for their future right and you know as much as I love things like store once it's not the future of computing Ryan comes out HP Labs this potentially is so that's got to have customers really excite this really the first time you've unveiled it right massively in the public scale right maybe you're talking you know that's why that's why i joined the HP i saw that coming out a few months ago and the the new style of IT thinking we're we're saying you know we're radically going to be at the core of helping IT transition from the old style very inward to a customer centric style 21 you know where you're delivering the customer you know consumer experience in the business world and i saw that with HP and it got me excited and i joined on board not upside yeah the other part that Martin mentioned I no idea of the power of HP Labs but the leveraging open source as well which are I probably not a tool in the arsenal not that long ago to really bring the power of a large communities engaged you can attack right specific problems and make that a core piece of the of the process yeah we think about it we've got thousands of the world's best developers right the Millennial developers these guys working all around the clock working on you know our core cloud future called OpenStack contributing to that right including our experts and then we're taking that and then bringing it to market you know into providing that twenty four seven support testing and hardening it you know doing the things need to do to help it enterprise feel comfortable with that decision you could never do that we could never do that and deliver that kind of innovation on our own just couldn't afford it we wouldn't be able to deliver on it you know these are the best minds of the world who are contributing this and we're we're all in nope in fact so you talked about we talked about what the brand is stand for you said open no lock-in can open source innovation occur at a pace with somebody who's got full control of a stack it's much faster actually I mean this is the you watch the innovation of OpenStack it's only what four years old we just at a four-year birthday of OpenStack already that's an entire cloud computing platform you've got databases service projects like trove you've got object storage projects like Swift and block storage like Senator you know all of these things are being worked on by people around the world you could never deliver and so what's happening is the pace of innovation with an open source project like OpenStack is like it's a hockey stick and and so I think yeah I think if we did this ourselves we or anyone else you would never be able to deliver the kind of innovation it's coming to market now we talked about some of the announcements you guys know why don't we actually go back a month right but Helion and then work through today we've got some HPC announcements you got the network you know for Helion right start with Helia so what's great about healing on is is it really brought together a lot of great products and services of the cloud that already existed and it took OpenStack and it was our first foray into the market with an OpenStack distribution and what's important actually is we have technology one called HP cloud system that is actually the most popular cloud platform right now private cloud platform on the planet about almost two thousand users right or two thousand companies third of the Fortune 100 right now using that technology so it is a proven capable platform used by big banks and others we're injecting OpenStack into that so that you can you can over time scale that out with new applications and so the launch really was about pulling all the pieces together pulling our support and services together and saying to a customer you know with confidence here's here's our cloud portfolio and here's how we can take you on a journey it's your pace and accelerate that journey take advantage of that cloud portfolio and that was really the launch month ago today and it discover I mean only a month later we've already done a number of great things but one is we brought out OpenStack the commercial version so we've launched community one you can download it thousands of downloads already the commercial versions coming up now and we announced pricing and what we are all about here this is what it really really important we are about accelerating the adoption of OpenStack throughout the enterprise we're about breaking down the barriers that have that have inhibited the proliferation of this great technology so one of those things today was the price point we announced 1000 for three dollars per year per server all in price point for HP Helion OpenStack and that's critical because this is a scale out a scale-out product you're going to have dozens hundreds maybe even thousands of these all around the world and so the price point is it's disruptive it's the lowest of the planet and and you know we said it's gonna be simple and easy we're not going to do all of this good better best packaging it's it's super easy and that's a big part of today the other part of today as we said you know what we're going to work with partners we're going to deploy this all around the world and that was the helium Network announcement along with ATT and the British Telecom and Intel and that's that's just huge for today now now helium comprises both on-premise in an HP public cloud correct that's right so talk about how that pricing works I mean I like what you're saying simple because cloud pricing is really complicated yeah so we use we wear that we're probably the largest user of OpenStack in production in production today without public cloud so we use it and people can consume services from that buy them on a on a you know on an as you go basis but with OpenStack which you what's really happening is people are able to deploy their own private clouds right they're able to a service provider could deploy and build their own public cloud so when I talk about the price point talking about a customer building their own cloud building their own cloud and a third party data center or in one of HP's 82 data centers and that that price point is is is you know it's easy easy to use you can predict it in your business model and feel comfortable about what it's going to cost you know two three four years out and so help me understand let's unpack that a little bit what am I getting for that fourteen hundred dollars per so you get the entire so this is what's amazing you get the entire cloud operating system called OpenStack right you get all of the projects now that are part of the OpenStack bill you're getting a top you're getting an object story it's it's a you know a la amazon s3 but in a box called Swift right with a swift API and you can build that and do that yourself now you can do that in a way that controls that gives you full control and full flexibility you get databases the service product you get a cute engine with cinder grizzly everything that's right no lad for the computer and so you get all of this in that box all of this and you can go deploy this and you can benefit now from the thousands of developers who are every six weeks putting out new code and innovative so okay so all the new innovations will fall under that umbrella and that's right at any price they choose to use you might say I'm just building a cloud storage environment you might choose to be heavy on Swift that's what you're doing but it is all inclusive and you can use the entire cloud platform or you can build a storage platform or databases a service platform that's a different model clearly what a customer is telling you about that yeah so they well they want they want the control and the flexibility of having their own platform for you know security reasons their own for compliance they want to put their data you know in their own centers but they're also saying I want to use public cloud some too and I like the idea that if OpenStack is here and OpenStack is here right same code bases I can fairly easily take a workload take an application to go from here to here and back and forth that kind of flexibility call interoperability and that's what's coming down the road with OpenStack underneath is something that does not exist today is everybody wants make sure I understand so I'm paid 1400 hours per server for that OpenStack instance on-premise and then when I want to access public cloud services I'm what you would pay an answer you might want to burst you might want to just go do you might have some peak demand he's burst out there you pay for and I would vote for money to make your partner of ours yep excellent now you also had some hpc announcements that's right so there's a number what's great is HP now is people are taking Helion OpenStack and they're putting it in their products are hpc group a high-performance computing group said hey we want to have a self-service mechanism we want to be able to scale out sap architecture people want in that in hpc so they put OpenStack inside their solution and launched it today and so it's you know OpenStack and better than hpc open hybrid simple to consume is what I'm that's right that's right it's ductable and predictable all right good Dave Lisa Marie wrote the book on this so this is great if you don't believe Bobby Lisa came I gave me this right gave me the books it's the OpenStack technology breaking the enterprise barrier you've got it you got it it's one of the best best reads on the planet right now yeah excellent all right so what does it go to the next level what is it I'm just buying computer part of just I'm just getting capacity if you just want capacity you might say you might just build a storage cloud yourself or you might use the our public cloud storage or with our Helia network our partners around the world be deploying OpenStack and you can buy it from them awesome all right we got to leave it there Bobby thanks so much for coming to the cube is a pleasure meantime take it all right keep it right to everybody John furrier is in the house he's back from San Francisco or San Jose good to have him back John keep right there but back with job fair in just a moment

>>The cube presents HPE discover 2022 brought to you by HPE. >>Hello, everybody. Welcome to day three of the Cube's coverage of HPE discover 2022 we're live from Las Vegas and the Venetian convention center. This is I, I counted him up. I think this is the 14th HP HP slash HPE. Discover that we've done really excited to welcome in Alexia Clements. She's the vice president of go to market for HPE GreenLake cloud services. That's all the rage everybody's talking about. Green, all the wood behind the arrow, as the saying goes, welcome to the queue. Good to see >>You. Thank you so much for having me thrilled to be here. >>You walk up Janet Jackson last night, >>Epic. Wow. She killed it. She was awesome. >>I thought the band was super tight, but the other thing was the place was >>Packed. It was >>Nice. You know, what happens is a lot of time they put the band in the getaway day, you know, and nobody stays, but wow, the, the hall was jammed. >>It was great. It was, you could feel the momentum and the excitement. And it was just a great way to, to kind of end the, the HP discover. So it was great. >>Yeah. I mean, I, I mentioned that we've been to a lot of HP slash HPE discovers and, and this one was different in the sense that I think first of all, 8,000 people, yep. People are excited to get back together, but I think, you know, HPE has a spring in its step and the customers are kind of interested. It's much more focused than some of the past HPE discoverers, which was kind of hard to get my hands around. Sometimes the business was sort of an Antonio's pulled that together. So what's changed since the last time we were face to face. >>We're transforming and hope you all saw that on the, on the floor here. So, um, we're absolutely trans going through a transformation and, you know, I, I think we're, you know, we're shifting to an edge to cloud platform company. And with that, it's, it's how we approach our customers differently and our partners and, you know, we're hoping that, uh, we showed this week and that, that we're different and we're transforming. >>So how do you spend your time Mo mostly in front of customers having conversations about what, what their needs are and aligning is that right? >>Yeah. So, um, I, I lead the, the go to market for GreenLake. So that's everything around how we're driving our as a service go to market strategy, how we're driving programs, enablement, how we're really in the end, how we're executing on that as a service strategy from a sales perspective. >>So what do you hear? Of course, a lot of that involves partners. Yep. Right. I mean, that's kind of the route to market. Absolutely. The HPE prefers for obvious reasons, although others don't necessarily share that, but, but, so what are you hearing from the partner ecosystem and the customers that their biggest challenges are now that we're entering the let's call it the post isolation economy? <laugh> >>Yeah. I mean, the reality is, is digital transformations are hard and I think some customers, um, who haven't necessarily moved forward on it or, you know, maybe they move forward and they're realizing, Hey, I'm stuck and I'm not, I'm not getting to where I wanna be and really, you know, driving that end state. So, I mean, I, I would just say overall, I think things are like, customers are, are struggling if they didn't, you know, they're falling behind a little bit. And I think through the conversations that we're having and through HP green, like it gives customers choice. And so really, um, I mean, what, you know, I spend my time with, and, and when we're talking to customers and partners, it's about helping customers on that digital transformation journey and understanding what are they trying to drive? What business outcomes are they trying to drive and how we can help them get there. So >>I, I often call it the force March to digital yep. With the pandemic. Um, and, and I, I was looking at a survey recently, I think it was put on by couch base. And it was probably on a thousand respondents and it was a CIO survey and they asked who's, who's responsible for the digital transformation at the organization and overwhelmingly it was the it organization. And I said, uhoh, that's the problem now. But it made sense to me because when the economy shut down, everybody went to it and said help, right. Make this work somehow. Right. But, but what, that doesn't seem to me to be the right prescription for a successful digital transformation. Do you agree with that? And what do you see as a successful template for DX? >>Well, I think what, what we see is that really the lines of business are desperate to move fast and they're really looking for their it partners to help them in that journey and, and, and drive, you know, whether it be, you know, drive them, you know, drive orders, drive, you know, they need it to help them in that journey. And so really it's gotta be a partnership between the two organizations. And what we're trying to do with HP GreenLake is kind of abstract that almost. So, Hey, we're gonna give it to you in an, as a service and you're gonna get all of these components. And all you have to think about is where do I need to grow and what are the outcomes that I'm looking for? So that's what it's gotta be. There's gotta be tight alignment, I think between the lines of business and it, and sometimes those two don't know how to talk to each other. >>Mm-hmm <affirmative> so that's another way of, of really trying to speak to the business leaders and say, what are you trying to do? Where do you need to go? And what do you need to get? And, and a lot of times they don't even know what they need to get there. So that's where we need to have those different conversations with our customers to, and that's where we look for our partners to help us in that. So really having those different conversations to progress, um, what, you know, what customers are really looking to, to drive, >>How, how does GreenLake specifically accelerate that transformation? Where does it fit? Maybe you can kind of take us through, you know, a, a generic example of how that works. >>Yeah. I mean, a great example is, you know, especially with the pandemic is desktop, Hey, you now need to, you know, everybody's working from different locations. So, you know, desktop as a service VDI as a service, and, you know, you're putting it in a, you know, per whatever, you know, per you can, whatever variable pricing you want, but think about it, you have that one pay as you go. And so the it organization, all they have to think about is that's my, you know, per, per unit price there. So that's a great example of how we saw, like, especially during the pandemic, that was something that was, you know, a huge area of focus organizations. What's >>The spectrum that you see in terms of, you know, the maturity model, if you will, a digital transformation. I mean, if you weren't in a digital business during the pandemic, you were pretty much out of business. Yeah. And with very few exceptions. Um, and so, okay. So on the one end, you have folks that sort of were forced into it. You, my forced March scenario, others were actually moving quite a bit along before the pandemic, others were kind of given at lip service and maybe doing a few projects. What do you see as that spectrum? >>I think if you're not transforming, you're falling behind. And so everybody needs to be, you know, looking to the future and understanding, you know, really trying to get aggressive on that. And that's what we're seeing. We're seeing companies who, you know, aren't moving fast on that or falling behind. >>Do you see a bifurcation? I'm sure you do those that say, yeah, I want as a service and others that say, look, I I'm really well capitalized. I'm gonna gimme the, gimme the CapEx. I'm gonna put it in and run it myself. And is there a relationship between that approach and their digital transformation maturity, or is it kind of just really their preference? >>I, I mean, for us, we're meeting customers where they're at on their journey and their multi-cloud journey. So some, and, and what I'm seeing is that every customer today has multiple clouds, whether that be their, you know, their kind of, MultiGen it, the, the legacy stuff that they've gotta deal with. They've got stuff in public clouds, and they're trying to really transform and figure out how do I work all of that in like, how do I move forward with that new operating model? And so what I'm seeing is, you know, we're gonna meet customers where they're at on their journey. So some are gonna continue to go down that path in a, how they've always purchased their it. And others are really, you know, more often than not, we're seeing, they want that as a service cloudlike to have all the benefits of cloud, but yet still have it on their prem or in a colo or, you know, at the edge. So I do see some of those customers who are thinking differently, right. That, and they're the ones that are more apt to be a little bit more aggressive on their digital transformation. They're, they're open to the possibility if that makes sense. No, >>It does. It makes total sense. I, I, I think, you know, on the one hand they're a lot of customers are trying to build their own cloud. Yep. Um, so you mention multicloud, I'm not gonna go to Amazon to help me with my multicloud strategy. That's not, that's not gonna be my preferr. Yeah. I might talk to Microsoft about it a little bit. Google's got Antos and that's kind of interesting, but you know, Google's not enterprise, they got good data, but so, but there are other choices out there. Why HPE for my cloud hybrid multi-cloud strategy, give us the >>Sticker. It's, it's the best of both worlds for customers. So it enables them to have the security. It enables them to grow, to, to be in their data centers or in colos at the edge. It allows them to not over provision. It allows them to pay as they go and pay as they grow there's. Um, and then it also really is that ease factor. So it it's that thinking about it as I have, I already, I know what my pricing is. I know what that predictability is from a pricing perspective and what my costs are gonna be. So all of those things really re that all those messages resonate with customers, >>Right? L thanks so much for coming on. We got the trains are backing up super tight schedule today. This is wall to wall coverage of HPE. Discover. Thank you. Thank >>You so much for having me appreciate it. >>You're SU very welcome. All right. Keep it right there. Dave ante is here. John furrier, HPE discover 2022 from Las Vegas. We're live. We'll be right back.

>>The cube presents HPE discover 2022 brought to you by HPE. >>Welcome back to the Venetian convention center. You're watching the Cube's coverage of HPE discover 2022. The first discover live discover in three years, 2019 was the last one. The cube we were just talking about. This has been at H HP discover. Now HPE since 2011, my co-host John furrier. We're pleased to welcome Phil Maru. Who's the executive vice president and general manager of HPE Aruba. And he's joined by David Hughes, the chief product and technology officer at HPE Aruba gentleman. Welcome to the cube. Good to see you. Thank you. Thank >>You. >>Okay, so you guys talk a lot, Phil, about the intelligent edge. Yep. Okay. What do you, what do you mean by that? >>Yeah, so we, well, we're kind of focused on, is providing technology to customers that sits out at the edge and typically the edge would be, uh, any location out of the data center or out of the cloud. So for the most part, our customers would deploy our technology either in their office premises or maybe retail premises shops, uh, maybe deploying out of the home where their employees are on a factory floor. And we're really talking about technology to connect both people and devices back to, um, systems and technology throughout an organization. So, but >>I, I, you know, sometimes I call it the near edge and the far edge yeah. Near, near edge. Maybe as we saw home Depot up on the stage yesterday far, Edge's like space. Right. You're including all of that. Right. That's >>Edge. >>Yeah. And actually we, we, we, you know, we've got a broad range of technology that actually works within the data center as well. So, you know, what we are focused on is providing, uh, network technology, software and services. And, you know, for the most part, our heritage is at the edge, but it's more pervasive than that. So >>If you have the edge, you got connectivity and power, that's an edge. How much, um, is the physical world being connected now you're seeing robotics automation. Yeah. Ex and with machine learning specifically in compute, really driving a new acceleration at the edge. What you, how do you guys view that? What's your reaction? Yeah. >>I think, look, it, I think as connectivity is improving and that's both in terms of wifi connectivity, so, you know, wifi technology continues to, uh, advance and also you've got this new kind of private 5g area, just generally connectivity is becoming more pervasive and that's helping some industries that haven't previously embraced it. And I think industrial is, is one of the big ones. So, you know, historically it was difficult for kind of car manufacturers to really enable a factory floor. But now the connectivity is connectivity is better. That gives them the opportunity to be able to really change how they do things. So >>David, if you do take an outside in view, mm-hmm <affirmative>, uh, and, and, and when you talk to customers, what are they telling you and how is that informing your product strategy? >>Yeah, well, you >>Know, I think there's, there's several themes we hear. One is, you know, it's really important, better work from anywhere they wanna enable their employees, um, to get the same experience, whether they're at home or on the road or in their branch office or at headquarters. Um, you know, people are also concerned that as they deploy, deploy all of this IOT and pursuit of digital transformation, they don't want those devices to be a weak point where someone breaks into one device and moves naturally, um, across the network. So they want to have this great experience for their customers and their users, but they wanna make sure that they're not compromising security, um, in any way. And so it's about getting that balance between ease of use and, and security. That's one of the primary things we hear, >>You know, Dave, one of the things we talked about many, many years ago was when hybrid and was starting to come out multi-cloud was on the, on the table early on. Uh, we were, we were saying, Hey, the data center is just a big edge, right? I mean, if you have cloud operations and you see what's going on with GreenLake here now, the momentum hybrid cloud is cloud operations, right? An edge off data centers to a big edge on premises. And you got the edge as you have cloud operations, like say GreenLake, plugging in partners and diverse environments. You're connecting, not just branch offices that are per perimeter based. You have no perimeter and you have now other companies connecting mm-hmm <affirmative> so you got data and you got network. How do you guys see that transition as GreenLake has a very big ecosystem part of it, partners and whatnot. >>Yeah. So, you know, I think for us, um, the ecosystem of partners that we have is critical in terms of delivering what our customers need. And, you know, I think one of the really important areas is around verticals. So, um, you know, when you think about different verticals, they have similar problems, but you need to tailor the solutions. Um, to each of those, you know, we are talking a bit about devices and people. When you look at say a healthcare environment, there can be 30 devices there for each patient. And, um, so there's connecting all those devices securely, but we have partners that will help pull all of that together that may be focused on, um, you know, medical environment that may focused on stadiums. They may be focused on industrial. Um, so having partners that understand those verticals and working closely with them to deliver solutions is important in our go to market. >>So another kind of product question and related to what you just said, David, I got connectivity, speed, reliability, cost security, or maybe a missing something. But you, you said earlier, you gonna gotta balance those. How do you do that? And do you do that for the specific use cases? Like for instance, you just mentioned stadiums and 81 and how do you balance those and, and do you tailor those for the use cases? >>Yeah, well, I think it depends on the customer and different people have different views about where they need to be. So some people are, are so afraid about security. They wanna be air gapped and completely separate than the internet. That would be one extreme mm-hmm <affirmative> other people, you know, look at it and see what's happening with COVID with everyone working from home with people being able to work from Starbucks or the airport. And they're beginning to think, well, why is the branch that much different? And so what I think we are seeing is, you know, a reevaluation of how people connect to, um, the apps they're using and, uh, you know, you, you, you've probably for sure heard people talking about zero trust, talking about micro segmentation. You know, I think what we we see is that people wanna be able to build a network in a way where rather than any device being able to talk to any device or any person, which is where the internet started, we wanna build to build networks where people or devices can only talk to the destinations that are necessary for them to do their job. >>And so a lot of the technology that we are building into the network is really about making security intrinsic by limiting what can talk to what that's >>Actually micro, micro segmentations, zero trust, um, these all point to a modern, the modern network, as you say, Antonio Neri was just on the cube, talking about programmability, substrate, the words like that come to mind, what is the modern network look like? I mean, you have to be agile. You have to be programmable. You have to have security. Can you describe in your words, what does the modern network these days need to look like? How should customers think about architecting them? What are some of the table stakes and what are some of the differentiators that customers need to do to have a modern network? >>Yeah, well, you covered off a coup a few quarter, one there with clarity and so on. So let me pick one that you didn't mention. And, and I, you know, I think we are seeing, you know, a lot of interest around network as a service. And, you know, when we think about network as a service, we think about it broadly, um, you know, for consumers, we're getting more and more used to buying things as a service versus buying a thing. When you, when you get Alexa, you care about how well she answers your questions, you don't care about what CPU is or how much Ram Alexa has. And likewise with networking, people are caring about the outcomes of keeping their employees connected, keeping their, their devices and systems running. And so what for us, what NASA is all about is that shift of thinking about a network as being a collection of devices that get managed to being a framework for connectivity and running it from the point of view of those outcomes. >>And so whether, you know, it's about CapEx versus OPEX or about do it yourself, managing the network yourself versus outsourcing that, um, or it's about the, you know, Greenfield versus brownfield, each of our customers has got a different starting point, but they're all getting heading towards this destination of being able to treat their network as a service. And so that is, you know, a key area of innovation for us and whether it's big customers like home Depot that you heard about yesterday, um, where we kind of manage everything for them on a, as on a store basis, um, for connectivity, um, or, you know, the recent, um, skew based nest that we launched, which is a really scalable foundation for our partners to build nest offerings around. Um, we see this as a key part of network modernization. Yeah. >>And one of the things, again, that's great stuff. Uh, infrastructure is code, which was really kind of pioneer the DevOps movement in cloud kind of as platform level. And you got data ops now and AI at the top of the stack, we were always wondering when network as code was gonna come, uh, and where you actually have it, where it's programmable. I mean, we all know what policies do do. They're good. That's all great network as code. >>Yeah. >>And that's the concept that's like DevOps, it's like, make it work just seamlessly, just be always on. And >>Yeah. And smart, you know, people are always looking for the, for the easy button. Um, and so they want, they want things to operate easily. They want it to be easy to manage. And, you know, I actually think there's a little bit of a, um, a conflict between networkers code and the easy button, right? So it depends on the class of customers. Some customers like financials, for instance, have a huge software development organizations that are extremely capable that could, that can go with program ability that want things as code. But the majority of the, of, of the verticals that we deal with, um, don't have those big captive software organizations. And so they're really looking for automation and simplicity and they wanna outsource that problem. So in Aruba central, we have invested a lot to make it really easy for our customers to, um, get what they need, you know, is that movement of zero code. It's more like zero code. They want, they want something packaged now >>The headless networks. Yeah. Low code, no code >>Kind of thing. Yeah, that's right. And, you know, obviously for people that have the sophistication that want to, um, do the most advanced things, we have APIs. And so we support that kind of programmable way of doing things. But I'd say that that's that's, those are more specialized customers. So >>Phil, yeah. Uh, is that the strategy? I mean, David listed off a number of, of factors here is that Aruba's strategy to modernize networks to actually create the easy button through network as a service is as simple as dial tone. Is that how we >>Should think? I mean, the way I think about the strategy is I think about it as a triangle, really, along the bottom, we've got the products and services that we offer and we continue to add more products and services. We either buy companies such as silver peak a couple of years ago, or we build, uh, additional products and by, and by the way, that's in response to customers who are frustrated with some other suppliers and wanna move on mass over to, uh, companies like ourselves. So at the bottom layer of the product and services, and then the other side of the triangle one would be NAS, which we talked about, which is kind of move to buying network and as a service. And then the other side of the triangle is the platform, which for us is river central, which is part of HP GreenLake. And that's really all about, you know, kind of making it easy for customers to manage networks and Aruba central right now has got about 120,000 live customers on it. It connects to about 2 million devices and it's collecting a lot of data as well. So we anonymously collect data from all of our customers. We've got one and a half billion data points in the platform. And what we do is we let that data kind of look for anomalies and spot problems on the network before they happen for customers. >>So Aruba central predated, uh, uh, GreenLake GreenLake. Yeah. And, and so did you write to GreenLake through GreenLake APIs? How, what was the engineering work to accomplish that? >>Yeah, so really, um, Aruba central is kind of the Genesis of the GreenLake platform. So we took Aruba central and made it more generic okay. To build the GreenLake cloud platform. And you know, what we've done very recently is bring, bring Aruba into that unified infrastructure, along with storage and compute. So the same sign-on applies across all of HP's, um, products, the same way of managing licenses, managing devices. And so it provides us, uh, great foundation going forwards to, um, solve more comprehensively. Our customers automation requires. >>So, so just a quick follow. So Aruba actually was the main spring of GreenLake from the standpoint of okay. Sing, like you said, single sign on a platform that could evolve and become more, more generic. Yes. So, okay. So that was a nice little, um, bonus of the acquisition, you know, it's now the whole company >><laugh> Aruba taking over. >>Yeah. There's been a lot of work to, to, uh, you know, make it generic and, and widely applicable. Right. Yeah. Um, so, but >>You were purpose >>Built for yeah. Well it's foundational. Yes. So foundational for GreenLake, they built on top of it. Yeah. So you mentioned the data points, billions of data points. So I gotta ask you, cuz we're seeing this, um, copy more and more with machine learning, driving a lot of acceleration, cuz you can do simulations with machine learning and compute. We had Neil McDonal done earlier. He's a compute guy, you got networking. So with all this, um, these services and devices being put on and off the network humans, can't actually figure this out. You can discover what's on the network. How are you guys viewing the discovery and monitoring because there's no perimeter okay. On the network anymore. So I want to know what's out there. Um, how do you get through it? How does machine learning and AI play into this? >>Yeah. I mean, what we are trying to do is obviously flag trends for customers and say, Hey look, you know, we can either see something happening with your network. So there's a particular issue over here and we need to, I dunno, free up more capacity to solve that. Or we're looking at how their network is running and then comparing that with anonymized data from all of our other customers as well. So we're just helping find those problems. But yeah, you're right. I mean, I think it is becoming more of an issue for organizations, you know, how do you manage the network, >>But you see machine learning and AI playing a big part. >>Yeah, yeah. Yeah. I think, uh, AI massively and, and other technology advances as well that we make. So recently we, uh, also announced the availability of location awareness within our access points. And that might sound like a simple thing. But when network, when companies build out their networks, they often lose or they potentially could lose the records as to, well, where were the access points that we laid out and actually where are they not within, you know, 20 feet, but where actually are they? So we introduced kind of location, finding technology as well into our, uh, access points to make it easy for >>Customers. So Aruba one of the best, if not the best acquisition. I think that HP E has made, um, it's made by three par was, you know, good. It saved the storage business. Okay. That was more of a defensive play. Uh, but to see Aruba, it's a growth business. You guys report on it every quarter. Yeah. It's obviously a key ingredient to enable uh, uh, GreenLake and, and a that's another example, nimble was similar. We're much smaller sort of more narrow, but taking the AI ops piece and bringing it over. So it's, it was great to see HPE executing on some of its M and a as opposed to just leaving them alone and not really leveraging 'em. So guys, yeah. Congratulations really appreciate you guys coming on and explaining that. Congratulations on all the, all the great work and thanks for coming on the cube. Okay. >>Thank you guys. Yeah. Thanks for having us. >>All right, John, and I'll be back right after this short break. You're watching the cube, the leader in enterprise tech coverage from HPE Las Vegas, 2022. We'll be right back.

(digital pulsing music) >> We're back at VeeamON 2022. My name is Dave Vellante. I'm here with my co-host David Nicholson. I've got another mass boy coming on. Patrick Osborne is the vice president of the storage business unit at HPE. Good to see you again, my friend. It's been a long time. >> It's been way too long, thank you very much for having me. >> I can't even remember the last time we saw each other. It might have been in our studios in the East Coast. Well, it's good to be here with you. Lots have been going on, of course, we've been following from afar, but give us the update, what's new with HPE? We've done some stuff on GreenLake, we've covered that pretty extensively and looks like you got some momentum there. >> Quite a bit of momentum, both on the technology front and certainly the customer acquisition front. The message is certainly resonating with our customers. GreenLake is, that's the transformation that's fueling the future of Hewlett Packard Enterprise. So the momentum is great on the technology side. We're at well over 50 services that we're providing on the GreenLake platform. Everything from solutions and workloads to compute, networking and storage. So it's been really fantastic to see the platform and being able to really delight the customers and then the momentum on the sales and the customer acquisition side, the customers are voting with their dollars, so they're very happy with the platform, certainly from an operational perspective and a financial consumption perspective and so our target goal, which we've said a bunch of times is we want to be the hyperscaler on on-prem. We want to provide that customer experience to the folks that are investing in the platform. It's going really well. >> I'll ask you a question, as a former analyst, it could be obnoxious and so forth, so I'll be obnoxious for a minute. I wrote a piece in 2010 called At Your Storage Service, saying the future of storage and infrastructure as a service, blah, blah, blah. Now, of course, you don't want to over-rotate when there's no market, there was no market for GreenLake in 2010. Do you feel like your timing was right on, a little bit late, little bit early? Looking back now, how do you feel about that? >> Well, it's funny you say that. On the timing side, we've seen iterations of this stops and start forever. >> That's true. Financial gimmicks. >> I started my career at Sun Microsystems. We talked about the big freaking Web-tone switch and a lot of the network is the computer. You saw storage networks, you've seen a lot, a ton of iterations in this category, and so, I think the timing's right right now. Obviously, the folks in the hyperscaler class have proved out that this is something that's working. I think for us, the big thing that's really resonating with the customers is they want the operational model and they want the consumption model that they're getting from that as a service experience, but they still are going to run a number of their workloads on-prem and that's the best place to do it for them economically and we've proved that out. So I think the time is here to have that bifurcated experience from operational and financial perspective and in the past, the technology wasn't there and the ability to deliver that for the customers in a manner that was useful wasn't there. So I think the timing's perfect right now to provide them. >> As you know, theCUBE has had a presence at HPE Discover. Previous, even HP Discover and same with Veeam. But we got a long history with HP/HPE. When Hewlett Packard split into two companies, we made the observation, Wow, this opens up a whole new ecosystem opportunity for HPE generally, in storage business specifically, especially in data protection and backup, and the Veeam relationship, the ink wasn't dry and all of a sudden you guys were partnering, throwing joint activities, and so talk about how that relationship has evolved. >> From my perspective, we've always been a big partnering company, both on the route to market side, so our distributors and partners, and we work with them in big channel business. And then on the software partnership side, that's always evolving and growing. We're a very open ecosystem and we like to provide choice for our customers and I think, at the end of the day, we've got a lot of things that we work on jointly, so we have a great value prop. First phase of that relationship was partnering, we've got a full boat of product integrations that we do for customers. The second was a lot of special sauce that we do for our customers for co-integration and co-development. We had a huge session today with Rick Vanover and Frederico on our team here to talk about ransomware. We have big customers suffering from this plague right now and we've done a lot together on the engineering side to provide a very, very well-engineered, well thought out process to help avoid some of these things. And so that wave, too, of how do we do a ton of co-innovation together to really delight our customers and help them run their businesses, and I think the evolution of where we're going now, we have a lot of things that are very similar, strategically, in terms of, we all talk about data services and outcomes for our customers. So at the end of the day, when we think about GreenLake, like our virtual machine backup as a service or disaster recovery, it's all about what workloads are you running, what are the most important ones, where do you need help protecting that data? And essentially, how can we provide that outcome to you and you pay it as an outcome. And so we have a lot of things that we're working on together in that space. >> Let's take a little bit of a closer look at that. First of all, I'm from California, so I'm having a really hard time understanding what either of you were saying. Your accents are so thick. >> We could talk in Boston. >> Your accents are so thick. (Dave laughing) I could barely, but I know I heard you say something about Veaam at one point. Take a closer look at that. What does that look like from a ransomware perspective in terms of this concept of air gaping or immutable, immutable volumes and just as an aside, it seems like Veeam is a perfect partnership for you since customers obviously are going to be in hybrid mode for a long time and Veeam overlays that nicely. But what does it look like specifically? Immutable, air gap, some of the things we've been hearing a lot about. >> I'm exec sponsor for a number of big HPE customers and I'll give you an example. One of our customers, they have their own cloud service for time management and essentially they're exploited and they're not able to provide their service. It has huge ripple effect, if you think about, on inability to do their service and then how that affects their customers and their customers' employees and all that. It's a disaster, no pun intended. And the thing is, we learn from that and we can put together a really good architectures and best practices. So we're talking today about 3-2-1-1, so having three copies of your data, two different types of media, having an offline copy, an offsite copy and an offline copy. And now we're thinking about all the things you need to do to mitigate against all the different ways that people are going to exploit you. We've seen it all. You have keys that are erased, primary storage that is compromised and encrypted, people that come in and delete your backup catalog, they delete your backups, they delete your snapshots. So they get it down to essentially, "I'm either going to have one set of data, it's encrypted, I'm going to make you pay for it," and 40 percent of the time they pay and they get the data back, 60 percent of the time they pay and they get maybe some of the data back. But for the most part, you're not getting your data back. The best thing that we can do for our customers that come with a very prescriptive set of T-shirt configuration sizes, standardization, best practices on how they can take this entire ecosystem together and make it really easy for the customers to implement. But I wouldn't say, it's never bulletproof, but essentially, do as much as you can to avoid having to pay that ransomware. >> So 3-2-1-1, three copies, meaning local. >> Patrick: Yeah. >> So you can do fast recovery if you need to. Two different types of media, so tape fits in here? Not necessarily flashing and spinning disks. Could it be tape? >> A lot of times we have customers that have almost four different types. So they are running their production on flash. We have Alletras with HPE networking and servers running specific workloads, high performance. We have secondary storage on-prem for fast recovery and then we have some form of offsite and offline. Offsite could be object storage in the cloud and then offline would be an actual tape backup. The tape is out of the tape library in a vault so no one can actually access it through the network and so it's a physical copy that's offline. So you always have something to restore. >> Patrick, where's the momentum today, specifically, we're at VeeamON, but with regard to the Veeam partnership, is it security and ransomware, which is a new thing for this world. The last two years, it's really come to the top. Is it cloud migration? Is it data services and data management? Where's the momentum, all of the above, but maybe you could help us parse that. >> What we're seeing here at Hewlett Packard Enterprise, especially through GreenLake, is just an overall focus on data services. So what we're doing is we've got great platforms, we always had. HPE is known as an engineering company. We have fantastic products and solutions that customers love. What we're doing right now is taking, essentially, a lot of the beauty of those products and elevating them into an operational experience in the cloud, so you have a set of platforms that you want to run, you have machine critical platform, business critical, secondary storage, archival, data analytics and I want to be able to manage those from the cloud. So fleet management, HCI management, protocol management, block service, what have you, and then I want a set of abstracted data services that are on top of it and that's essentially things like disaster recovery, backup, data immutability, data vision, understanding what kind of data you have, and so we'll be able to provide those services that are essentially abstracted from the platforms themselves that run across multiple types of platforms. We can charge them on outcome based. They're based on consumption, so you think about something like DR, you have a small set of VMs that you want to protect with a very tight RPO, you can pay for those 100 VMs that are the most important that you have. So for us driving that operational experience and then the cloud data service experience into GreenLake gives customers a really, gives them a cloud experience. >> So have you heard the term super cloud? >> Patrick: Yeah. (chuckles) >> Have you? >> Patrick: Absolutely. >> It's term that we kind of coined, but I want to ask you about it specifically, in terms of how it fits into your strategy. So the idea is, and you kind of just described it, I think, whether your data is on-prem, it's in the cloud, multiple clouds, we'll talk about the edge later, but you're hiding the underlying complexities of the cloud's APIs and primitives, you're taking care of that for your customers, irrespective of physical location. It's the common experience across all those platforms. Is that a reasonable vision, maybe, even from a technical standpoint, is it part of HPE strategy and what does it take to actually do that, 'cause it sounds nice, but it's probably pretty intense? >> So the proof's in the pudding for us. We have a number of platforms that are providing, whether it's compute or networking or storage, running those workloads that they plum up into the cloud, they have an operational experience in the cloud and now they have data services that are running in the cloud for us in GreenLake. So it's a reality. We have a number of platforms that support that. We're going to have a set of big announcements coming up at HPE Discover. So we led with Alletra and we have a block service, we have VM backup as a service and DR On top of that. That's something that we're providing today. GreenLake has over, I think, it's actually over 60 services right now that we're providing in the GreenLake platform itself. Everything from security, single sign on, customer IDs, everything, so it's real. We have the proof point for it. >> So, GreenLake is essentially, I've said it, it's the HPE cloud. Is that a fair statement? >> A hundred percent. >> You're redefining cloud. And one of the hallmarks of cloud is ecosystem. Roughly, and I want to talk more about you got to grow that ecosystem to be successful in cloud, no question about it. And HPE's got the chops to do that. What percent of those services are HPE versus ecosystem partners and how do you see that evolving over time? >> We have a good number of services that are based on HPE, our tried and true intellectual property. >> You got good tech. >> Absolutely, so a number of that. And then we have partners in GreenLake today. We have a pretty big ecosystem and it's evolving, too. So we have customers and partners that are focused, our customers want our focus on data services. We have a number of opportunities and partnerships around data analytics. As you know, that's a really dynamic space. A lot of folks providing support on open source, analytics and that's a fast moving ecosystem, so we want to support that. We've seen a lot of interest in security. Being able to bring in security companies that are focused on data security. Data analytics to understand what's in your data from a customer perspective, how to secure that. So we have a pretty big ecosystem there. Just like our path at HPE, we've always had a really strong partnership with tons of software companies and we're going to continue to do that with GreenLake. >> You guys have been partner-friendly, I'll give you that. I'm going to ask Antonio this at Discover in a couple of weeks, but I want to ask you, when you think about, again, to go back to AWS as the prototypical cloud, you look at a Snowflake and a Redshift. The Redshift guys probably hate Snowflake, but the EC2 guys love them, sell a lot of compute. Now you as a business unit manager, do you ever see the day where you're side by side with one of your competitors? I'm guessing Antonio would say absolutely. Culturally, how does that play inside of HPE? I'm testing your partner-friendliness. How would you- >> Who will you- >> How do you think about that? >> At the end of the day, for us, the opportunity for us is to delight our customers. So we've always talked about customer choice and how to provide that best outcome. I think the big thing for us is that, from a cost perspective, we've seen a lot of customers coming back to HPE repatriation, from a repatriation perspective for a certain class of workloads. From my perspective, we're providing the best infrastructure and the best operational services at the best price at scale for these costumers. >> Really? It definitely, culturally, HPE has to, I think you would agree, it has to open up. You might not, you're going to go compete, based on the merit- >> Absolutely. >> of your product and technology. The repatriation thing is interesting. 'Cause I've always been a repatriation skeptic. Are you actually starting to see that in a meaningful way? Do you think you'll see it in the macro numbers? I mean, cloud doesn't seem to be slowing down, the public cloud growth, I mean, the 35, 40 percent a year. >> We're seeing it in our numbers. We're seeing it in the new logo and existing customer acquisition within GreenLake. So it's real for us. >> And they're telling you? Pure cost? >> Cost. >> So it's that's simple. >> Cost. >> So, they get the cloud bill, you do, too. I'd get the email from my CFO, "Why the cloud bill so high this month?" Part of that is it's consumption-based and it's not predictable. >> And also, too, one of the things that you said around unlocking a lot of the customer's ability from a resourcing perspective, so if we can take care of all the stuff underneath, the under cloud for the customer, the platform, so the stores, the serving, the networking, the automation, the provisioning, the health. As you guys know, we have hundreds of thousands of customers on the Aruba platform. We've got hundreds of thousands of customers calling home through InfoSight. So we can provide a very rich set of analytics, automated environment, automated health checking, and a very good experience that's going to help them move away from managing boxes to doing operational services with GreenLake. >> We talk about repatriation often. There was a time when I think a lot of us would've agreed that no one who was born in the cloud will ever do anything other than grow in the cloud. Are you seeing organizations that were born in the cloud realizing, "Hey, we know what our 80 percent steady state is and we've modeled this. Why rent it when we can own it? Or why rent it here when we can have it as operational cost there?" Are you seeing those? >> We're seeing some of that. We're certainly seeing folks that have a big part of their native or their digital business. It's a cost factor and so I think, one of the other areas, too, that we're seeing is there's a big transformation going on for our partners as well, too, on the sell-through side. So you're starting to see more niche SaaS offerings. You're starting to see more vertically focused offerings from our service provider partners or MSPs. So it's not just in either-or type of situation. You're starting to see now some really, really specific things going on in either verticals, customer segmentation, specific SaaS or data services and for us, it's a really good ecosystem, because we work with our SP partners, our MSP partners, they use our tech, they use our services, they provide services to our joint customers. For example, I know you guys have talked to iland here in the past. It's a great example for us for customers that are looking for DR as a service, backup as a service hosting, so it's a nice triangle for us to be able to please those customers. >> They're coming on to tomorrow. They're on 11/11. I think you're right on. The one, I think, obvious place where this repatriation could happen, it's the Sarah Wong and Martin Casano scenario where a SaaS companies cost a good sold become dominated by cloud costs. And they say, "Okay, well, maybe, I'm not going to build my own data centers. That's probably not going to happen, but I can go to Equinix and do a colo and I'm going to save a ton of dough, managing my own infrastructure with automation or outsourcing it." So Patrick, got to go. I could talk with you forever. Thank you so much for coming back in theCUBE. >> Always a pleasure. >> Go, Celts. How you feeling about the, we always talk sports here in VeeamON. How are you feeling about the Celts today? >> My original call today was Celtics in six, but we'll see what happens. >> Stephen, you like Celtics? Celtics six. >> Stephen: Celtics six. >> Even though tonight, they got a little- >> Stephen: Still believe, you got to believe. >> All right, I believe. >> It'd be better than the Miami's Mickey Mouse run there, in the bubble, a lot of astronauts attached to that. (Dave laughing) >> I love it. You got to believe here on theCUBE. All right, keep it right- >> I don't care. >> Keep it right there. You don't care, 'cause you're not from a sports town. Where are you in California? >> We have no sports. >> All right, keep it right there. This is theCUBE's coverage of VeeamON 2022. Dave Vellante for Dave Nicholson. We'll be right back. (digital music)

>>from the cube studios >>in Palo alto in >>boston connecting with thought leaders all around the world. This >>is a cute >>conversation. Hello welcome to the cubes coverage of HPD discovered 2021 virtual. I'm john for your host of the cube we're here with CUBA alumni. One of the original cube guests 2020 11 back in the day kurt president and chief architect of Hewlett Packard labs. He's also a Hewlett Packard enterprise fellow and vice president. Great to see you and you're in Vegas. I'm in Palo Alto. We've got a little virtual hybrid going on here. Thanks for spending time. >>Thanks john it's great to be back with you >>so much going on. I love to see you guys having this event kind of everyone in one spot. Good mojo. Great CHP, you know, back in the saddle again. I want to get your, take, your in the, in the, in the action right now on the lab side, which is great disruptive innovation is the theme. It's always been this year, more than ever coming out of the pandemic, people are looking for the future, looking to see the signs, they want to connect the dots. There's been some radical rethinking going on that you've been driving and in the labs, you hope you look back at last, take us through what's going on, what you're thinking, what's the, what's the big trends? >>Yeah, John So it's been interesting, you know, over the last 18 months, all of us had gone through about a decade's worth of advancement in decentralization, education, healthcare, our own work, what we're doing right now suddenly spread apart. Uh, and it got us thinking, you know, we think about that distributed mesh and as we, as we try and begin to return to normal and certainly think about all that we've lost, we want to move forward, we don't want to regress. And we started imagining, what does that world look like? And we think about the world of 20 2500 and 35 zeta bytes, 100 and 50 billion connected things out there. And it's the shape of the world has changed. That's where the data is going to be. And so we started thinking about what's it like to thrive in that kind of world. We had a global Defense research institute came to us, Nasa's that exact question. What's the edge? What do we need to prepare for for this age of insight? And it was kind of like when you had those exam questions and I was one of those kids who give you the final exam and if it's a really good question, suddenly everything clicked. I understood all the material because there was that really forcing question when they asked us that for me, it it solidified what I've been thinking about all the work we've done at labs over the last the last 10 years. And it's really about what does it take to survive and thrive. And for me it's three things. One is, success is going to go to whoever can reason over more information, who can gain the deepest insights from that information in time that matters and then can turn that insight into action at scale. So reason, insight and action. And it certainly was clear to me everything we've been trying to push for in labs, all those boundaries. We've been pushing all those conventions we've been defying are really trying to do that for, for our customers and our partners to bring in more information for them to understand, to be able to allow them to gain insight across departments across disciplines and then turn that insight into action at scale where scale is no longer one cloud or one company or one country, let alone one data center >>lot there. I love the dot I love that metadata and meta reasoning incites always been part of that. Um and you mentioned decentralization. Again, another big trend. I gotta ask you where is the big opportunity because a lot of people who are attending discover people watching are trying to ask what should they be thinking about. So what is that next big opportunity? How would you frame that and what should attendees look for coming out at HP discover. >>So one thing we're seeing is that this is actually a ubiquitous trend, whether we're talking about transportation or energy or communications, they all are trying to understand and how will they admit more of that data to make those real time decisions? Our expectation in the middle of this decade when we have the 125 petabytes, You know, 30% of that data will need real time action out of the edge where the speed of light is now material. And also we expect that at that point in time three out of four of those 185 petabytes, they'll never make it back to the data center. So understanding how we will allow that computation, that understanding to reach out to where the data is and then bringing in that's important. And then if we look at at those, all of those different areas, whether it's energy and transportation, communications, all that real time data, they all want to understand. And so I I think that as many people come to us virtually now, hopefully in person in the future when we have those conversations that labs, it's almost immediate takes a while for them and then they realize away that's me, this is my industry too, because they see that potential and suddenly where they see data, they see opportunity and they just want to know, okay, what does it take for me to turn that raw material into insight and then turn that insight into >>action, you know, storage compute never goes away, it gets more and more, you need more of it. This whole data and edge conversations really interesting. You know, we're living in that data centric, you know, everyone's gonna be a date a couple, okay. That we know that that's obvious. But I gotta ask you as you start to see machine learning, um cloud scale cloud operations, a new Edge and the new architecture is emerging and clients start to look at things like AI and they want to have more explain ability behind I hear that all the time. Can you explain it to me? Is there any kind of, what is it doing? Good as our biases, a good bad or you know, is really valuable expect experimental experiential. These are words are I'm hearing more and more of >>not so much a speeds >>and feeds game, but these are these are these are these are outcomes. So you got the core data, you've got a new architecture and you're hearing things like explainable ai experiential customer support, a new things happening, explain what this all means, >>You know, and it's it's interesting. We have just completed uh creating an Ai ethical framework for all of Hewlett Packard enterprise and whether we're talking about something that's internal improving a process, uh something that we sell our product or we're talking about a partnership where someone wants to build on top of our services and infrastructure, Build an AI system. We really wanted to encompass all of those. And so it was it was challenging actually took us about 18 months from that very first meeting for us to craft what are some principles for us to use to guide our our team members to give them that understanding. And what was interesting is we examined our principles of robustness of uh making sure they're human centric that they're reliable, that they are privacy preserving, that they are robust. We looked at that and then you look at where people want to apply these Ai today's AI and you start to realize there's a gap, there's actually areas where we have a great challenge, a human challenge and as interesting as possibly efficacious as today's A. I. S. R. We actually can't employ them with the confidence in the ethical position that we need to really pull that technology in. And what was interesting is that then became something that we were driving at labs. It began gave us a viewpoint into where there are gaps where, as you say, explica bility, you know, as fantastic as it is to talk into your mobile phone and have it translated into another one of hundreds of languages. I mean that is right out of Star trek and it's something we can all do. And frankly, it's, you know, we're expecting it now as efficacious as that is as we echo some other problems, it's not enough. We actually need to be explainable. We need to be able to audit these decisions. And so that's really what's informed now are trustworthy ai research and development program at Hewlett Packard Labs. Let's look at where we want to play. I I we look at what keeps us from doing it and then let's close the technology gap and it means some new things. It means new approaches. Sometimes we're going back back back to some of the very early ai um that things that we sort of left behind when suddenly the computational capability allowed us to enter into a machine learning and deep neural nets. Great applications, but it's not universally applicable. So that's where we are now. We're beginning to construct that second generation of AI systems where that explica bility where that trustworthiness and were more important that you said, understanding that data flow and the responsibility we have to those who created that data, especially when it's representing human information, that long term responsibility. What are the structures we need to support that ethically? >>That's great insight, Kirk, that's awesome stuff. And it reminds me of the old is new again, right? The cycles of innovation, you mentioned a I in the eighties, reminds me of dusting off and I was smiling because the notion of reasoning and natural language that's been around for a while, these other for a lot of Ai frame which have been around for a while But applied differently becomes interesting. The notion of Meta reasoning, I remember talking about that in 1998 around ontology and syntax and data analysis. I mean, again, well formed, you know, older ways to look at data. And so I gotta ask you, you know, you mentioned reasoning over information, getting the insights and having actions at scale. That doesn't sound like an R and D or labs issue. Right? I mean that that should be like in the market today. So I know you, there's stuff out there, what's different around the Hewlett Packard labs challenge because you guys, you guys are working on stuff that's kind of next gen, so why, what's next gen about reasoning moreover, information and getting insights? Because you know, there's a zillion startups out there that claim to be insights as a service, um, taking action outcomes >>and I think there were going to say a couple things. One is the technologies and the capabilities that God is this far. Uh, they're actually in an interesting position if we think of that twilight of moore's law is getting a little darker every day. Um, there's been such a tail wind behind us tremendous and we would have been foolish not to take advantage of it while it lasted, but as it now flattens out, we have to be realistic and say, you know what that ability to expect anticipate and then planned for a doubling and performance in the next 18 to 24 months because there's twice as many transistors in that square of silicon. We can't count on that anymore. We have to look now broader and it's not just one of these technology inflection points. There's so many we already mentioned ai it's voraciously vowing all this data at the same time. Now that data is all at the edge is no longer in the data center. I mean we may find ourselves laughing chuckling at the term itself data center. Remember when we sent it all the data? Because that's where the computers were. Well, that's 2020 thinking right, that's not even 2025. Thinking also security, that cyber threat of Nation State and criminal enterprises, all these things coming together and it's that confluence of discontinuities, that's what makes a loud problem. And the second piece is we don't just need to do it the way that we've been doing it because that's not necessarily sustainable. And if something is not sustainable is inherently inequitable because we can't afford to let everyone enjoy those benefits. So I think that's all those things, the technology confluence of technology, uh, disruptions and this desire to move to really sustainable, really inherently inequitable systems. That's what makes it a labs problem. >>I really think that's right on the money. And one of things I want to get your thoughts on, cause I know you have a unique historic view of the trajectory arc. Cloud computing that everyone's attention lift and shift cloud scale. Great cloud native. Now with hybrid and multi cloud clearly happening, all the cloud players were saying, oh, it's never gonna happen. All the data set is going to go away. Not really. The, the data center is just an edge big age. So you brought up the data center concept and you mentioned decentralization there, it's a distributed computing architecture, There is no line anymore between what's cloud and what's not the cloud is just the cloud and the data center is now a big fat edge and edges are smaller and bigger. Their nodes distribute computing now is the context. So this is not a new thing for Hewlett Packard enterprise. I mean you guys been doing distributed computing paradigms, supplying software and hardware and solutions Since I can remember since it was founded, what's new now, what do you say that folks are saying, what is HP doing for this new architecture? Because now an operating system is the word, the word that they want. They want to have an operating model, deV ops to have sex shops, all this is happening. What's the what's the state of the art from H. P. E. And how does the lab play into that vision? >>And it's so wonderful that you mentioned in our heritage because if you think about it was the first thing that Bill and they did, they made instruments of unparalleled value and quality for engineers and scientists. And the second thing they did was computerized that instrument control. And then they network them together and then they connect to the network measurement sensing systems to business computing. Right. And so that's really, that's exactly what we're talking about here. You know, and yesterday it was H. B. I. B. Cables. But today it is everything from an Aruba wireless gateway to a green Lake cloud that comes to you to now are cray exa scale supercomputing. And we wanted to look at that entire gamut and understand exactly what you said. How is today's modern developer who has been distinct in agile development in seven uh and devops and def sec ops. How can we make them as comfortable and confident deploying to any one of those systems or all of them in conjunction as confident as they've been deploying to a cloud. And I think that's really part of what we need to understand. And as you move out towards the edge things become interesting. A tiny amount of resources, the number of threats, physical and uh um cyber increased dramatically. It is no longer the healthy happy environment of that raised floor data center, It is actually out in the world but we have to because that's where the data is and so that's another piece of it that we're trying to bring with the labs are distributed systems lab trying to understand how do we make cloud native access every single bite everywhere from the tiniest little Edge embedded system, all the way up through that exa scale supercomputer, how do we admit all of that data to this entire generation and then the following subsequent generation, who will no longer understand what we were so worried about with things being in one place or another, they want to digest all the world's data regardless of where it is. >>You know, I was just having a conversation, you brought this up. Uh that's interesting around the history and the heritage, embedded systems is changing the whole hardware equations, changes the software driven model. Now, supply chain used to be constrained to software. Now you have a software supply chain, hardware, now you have software supply chain. So everything is happening in these kind of new use cases. And Edge is a great example where you want to have compute at the edge not having pulled back to some central location. So, again, advantage hp right, you've got more, you've got some solutions there. So all these like memory driven computing, something that you've worked on and been driving the machine product that we talked about when you guys launched a few years ago, um, looks like now a good R and D project, because all the discussions, I'm I'm hearing whether it's stuff in space or inside hybrid edges is I gotta have software running on an embedded system, I need security, I gotta have, you know, memory driven architecture is I gotta have data driven value in real time. This is new as a kind of a new shift, but you still need to run it. What's the update on the machine and the memory driven computing? And how does that connect the dots for this intelligent Edge? That's now super important in the hybrid equation. >>Yeah, it's fantastic you brought that up. You know, it's uh it's gratifying when you've been drawing pictures on your white board for 10 or 15 years and suddenly you see them printed uh and on the web and he's like, OK Yeah, you guys were there were there because we always knew it had to be bigger than us. And for a while you wonder, well is this the right direction? And then you get that gratification that you see it repeated. And I think one of the other elements that you said that was so important was talking about that supply chain uh and especially as we get towards these edge devices uh and the increasing cyber threat, you know, so much more about understanding the provenance of that supply chain and how we get beyond trust uh to prove. And in our case that proof is rooted in the silicon. Start with the silicon establish a silicon root of trust, something that can't be forged that that physically uncomfortable function in the silicon. And then build up that chain not of trust but a proof of measurable confidence. And then let's link that through the hardware through the data. And I think that's another element, understanding how that data is flowing in and we establish that that that provenance that's provable provenance and that also enables us to come back to that equitable question. How do we deal with all this data? Well, we want to make sure that everyone wants to buy in and that's why you need to be able to reward them. So being able to trace data into an AI model, trace it back out to its effect on society. All these are things that we're trying to understand the labs so that we can really establish this data economy and admit the day that we need to the problems that we have that really just are crying out for that solution bringing in that data, you just know where is the data, Where is the answer? Now I get to work with, I've worked for several years with the German center for your Degenerative Disease Research and I was teasing their director dr nakata. I said, you know, in a couple of years when you're getting that Nobel prize for medicine because you cracked Alzheimer's I want you to tell me how long was the answer hiding in plain sight because it was segregated across disciplines across geography and it was there. But we just didn't have that ability to view across the breath of the information and in a time that matters. And I think so much about what we're trying to do with the lab is that that's that reasoning moreover, more information, gaining insights in the time that matters and then it's all about action and that is driving that insight into the world regardless of whether it has to land in an exa scale supercomputer or tiny little edge device, we want today's application development teams to feel that degree of freedom to range over all of those that infrastructure and all of that data. >>You know, you bring up a great call out there. I want to just highlight that cause I thought that was awesome. The future breakthroughs are hiding in plain sight. It's the access to the people and the talent to solve the problems and the data that's stuck in the silos. You bring those together, you make that seamless and frictionless, then magic happens. That's that's really what we're talking about in this new world, isn't it? >>Absolutely, yeah. And it's one of those things that sometimes my kids as you know, why do you come in every day? And for me it is exactly that I think so many of the challenges we have are actually solvable if the right people knew the right information at the right time and that we all have that not again, not trust, but that proof that confidence, that measurable conference back to the instruments that that HP was always famous for. It was that precision and they all had that calibration tag. So you could measure your confidence in an HP instrument and the same. We want people to measure their confidence when data is flowing through Hewlett Packard Enterprise infrastructure. >>It's interesting to bring up the legacy because instrumentation network together, connecting to business systems. Hey, that sounds like the cloud observe ability, modern applications, instant action and actionable insights. I mean that's really the the same almost exact formula. >>Yeah, For me that's that, that the constant through line from the garage to right now is that ability to handle and connect people to the information that they need. >>Great, great to chat. You're always an inspiration and we could go for another hour talking about extra scale, green leg, all the other cool things going on at H P E. I got to ask you the final question, what are you most excited about for h B and his future and how and how can folks learn more to discover and what should they focus on? >>Uh so I think for me um what I love is that I imagine that world where the data you know today is out there at the edge and you know we have our Aruba team, we have our green Lake team, we have are consistent, you know, our core enterprise infrastructure business and now we also have all the way up through X scale compute when I think of that thriving business, that ability to bring in massive data analytics, machine learning and Ai and then stimulation and modeling. That's really what whether you're a scientist and engineer or an artist, you want to have that intersectionality. And I think we actually have this incredible, diverse set of resources to bring to bear to those problems that will span from edge to cloud, back to core and then to exit scale. So that's what really, that's why I find so exciting is all of the great uh innovators that we get to work with and the markets we get to participate in. And then for me it's also the fact it's all happening at Hewlett Packard Enterprise, which means we have a purpose. You know, if you ask, you know, when they did ask Dave Packer, Dave, why hp? And he said in 1960, we come together as a company because we can do something we could not do by ourselves and we make a contribution to society and I dare anyone to spend more than a couple of minutes with Antonio Neary and he won't remind you. And this is whether it is here to discover or in the halls at labs remind me our purpose, that Hewlett Packard Enterprise is to advance the way that people live and work. And for me that's that direct connection. So it's, it's the technology and then the purpose and that's really what I find so exciting about HPV. >>That's a great call out, Antonio deserves props. I love talking with him, he's the true Bill and Dave Bill. Hewlett Dave package spirit And I'll say that I've talked with him and one of the things that resident to me and resonates well is the citizenship and be interesting to see if Bill and Dave were alive today, that now it's a global citizenship. This is a huge part of the culture and I know it's still alive there at H P E. So, great call out there and props to Antonio and yourself and the team. Congratulations. Thanks for spending the time, appreciate it. >>Thank you john it's great to be with you again. >>Okay. Global labs. Global opportunities, radical. Rethinking this is what's happening within HP. Hewlett Packard Labs, Great, great contribution there from Kirk, have them on the cube and always fun to talk so much, so much to digest there. It's awesome. I'm john Kerry with the cube. Thanks for watching. >>Mm >>mhm Yeah.

>>Welcome back to HPD discovered 2021 the cubes virtual coverage, continuous coverage of H P. S H. P. S. Annual customer event. My name is Dave Volonte and we're going to dive into the intersection of high performance computing data and AI with DR Eng limb go who is the senior vice president and CTO for AI at Hewlett Packard enterprise Doctor go great to see you again. Welcome back to the cube. >>Hello Dave, Great to talk to you again. >>You might remember last year we talked a lot about swarm intelligence and how AI is evolving. Of course you hosted the day two keynotes here at discover you talked about thriving in the age of insights and how to craft a data centric strategy and you addressed you know some of the biggest problems I think organizations face with data that's You got a data is plentiful but insights they're harder to come by. And you really dug into some great examples in retail banking and medicine and health care and media. But stepping back a little bit with zoom out on discovered 21, what do you make of the events so far? And some of your big takeaways? >>Mm Well you started with the insightful question, right? Yeah. Data is everywhere then. But we like the insight. Right? That's also part of the reason why that's the main reason why you know Antonio on day one focused and talked about that. The fact that we are now in the age of insight. Right? Uh and and uh and and how to thrive thrive in that in this new age. What I then did on the day to kino following Antonio is to talk about the challenges that we need to overcome in order in order to thrive in this new age. >>So maybe we could talk a little bit about some of the things that you took away in terms I'm specifically interested in some of the barriers to achieving insights when you know customers are drowning in data. What do you hear from customers? What we take away from some of the ones you talked about today? >>Oh, very pertinent question. Dave you know the two challenges I spoke about right now that we need to overcome in order to thrive in this new age. The first one is is the current challenge and that current challenge is uh you know stated is you know, barriers to insight, you know when we are awash with data. So that's a statement right? How to overcome those barriers. What are the barriers of these two insight when we are awash in data? Um I in the data keynote I spoke about three main things. Three main areas that received from customers. The first one, the first barrier is in many with many of our customers. A data is siloed. All right. You know, like in a big corporation you've got data siloed by sales, finance, engineering, manufacturing, and so on, uh supply chain and so on. And uh, there's a major effort ongoing in many corporations to build a federation layer above all those silos so that when you build applications above they can be more intelligent. They can have access to all the different silos of data to get better intelligence and more intelligent applications built. So that was the that was the first barrier we spoke about barriers to incite when we are washed with data. The second barrier is uh, that we see amongst our customers is that uh data is raw and dispersed when they are stored and and uh and you know, it's tough to get tough to to get value out of them. Right? And I in that case I I used the example of uh you know the May 6 2010 event where the stock market dropped a trillion dollars in in tens of ministerial. We we all know those who are financially attuned with know about this uh incident But this is not the only incident. There are many of them out there and for for that particular May six event uh you know, it took a long time to get insight months. Yeah before we for months we had no insight as to what happened, why it happened, right. Um and and there were many other incidences like this. And the regulators were looking for that one rule that could, that could mitigate many of these incidences. Um one of our customers decided to take the hard road go with the tough data right? Because data is rolling dispersed. So they went into all the different feeds of financial transaction information. Uh took the took the tough uh took the tough road and analyze that data took a long time to assemble and they discovered that there was court stuffing right? That uh people were sending a lot of traits in and then cancelling them almost immediately. You have to manipulate the market. Um And why why why didn't we see it immediately? Well the reason is the process reports that everybody sees uh rule in there that says all trades. Less than 100 shares don't need to report in there. And so what people did was sending a lot of less than 103 100 100 shares trades uh to fly under the radar to do this manipulation. So here is here the second barrier right? Data could be raw and dispersed. Um Sometimes you just have to take the hard road and um and to get insight And this is 1 1 great example. And then the last barrier is uh is has to do with sometimes when you start a project to to get insight to get uh to get answers and insight. You you realize that all the datas around you but you don't you don't seem to find the right ones To get what you need. You don't you don't seem to get the right ones. Yeah. Um here we have three quick examples of customers. 111 was it was a great example right? Where uh they were trying to build a language translator, a machine language translator between two languages. Right? But not do that. They need to get hundreds of millions of word pairs, you know, of one language compared uh with the corresponding other hundreds of millions of them. They say we are going to get all these word pairs. Someone creative thought of a willing source and a huge, so it was a United Nations you see. So sometimes you think you don't have the right data with you, but there might be another source and a willing one that could give you that data right. The second one has to do with uh there was uh the uh sometimes you you may just have to generate that data, interesting one. We had an autonomous car customer that collects all these data from their cars, right, massive amounts of data, loss of senses, collect loss of data. And uh you know, but sometimes they don't have the data they need even after collection. For example, they may have collected the data with a car uh in in um in fine weather and collected the car driving on this highway in rain and also in stone, but never had the opportunity to collect the car in hale because that's a rare occurrence. So instead of waiting for a time where the car can dr inhale, they build a simulation you by having the car collector in snow and simulated him. So these are some of the examples where we have customers working to overcome barriers, right? You have barriers that is associated the fact that data is silo Federated, it various associated with data. That's tough to get that. They just took the hard road, right? And sometimes, thirdly, you just have to be creative to get the right data you need, >>wow, I tell you, I have about 100 questions based on what you just said. Uh, there's a great example, the flash crash. In fact, Michael Lewis wrote about this in his book, The Flash Boys and essentially right. It was high frequency traders trying to front run the market and sending in small block trades trying to get on the front end it. So that's and they, and they chalked it up to a glitch like you said, for months, nobody really knew what it was. So technology got us into this problem. I guess my question is, can technology help us get out of the problem? And that maybe is where AI fits in. >>Yes, yes. Uh, in fact, a lot of analytics, we went in, uh, to go back to the raw data that is highly dispersed from different sources, right, assemble them to see if you can find a material trend, right? You can see lots of trends right? Like, uh, you know, we, if if humans look at things right, we tend to see patterns in clouds, right? So sometimes you need to apply statistical analysis, um math to be sure that what the model is seeing is is real. Right? And and that required work. That's one area. The second area is uh you know, when um uh there are times when you you just need to to go through that uh that tough approach to to find the answer. Now, the issue comes to mind now is is that humans put in the rules to decide what goes into a report that everybody sees in this case uh before the change in the rules. Right? But by the way, after the discovery, the authorities change the rules and all all shares, all traits of different any sizes. It has to be reported. No. Yeah. Right. But the rule was applied uh you know, to say earlier that shares under 100 trades under 100 shares need not be reported. So sometimes you just have to understand that reports were decided by humans and and under for understandable reasons. I mean they probably didn't want that for various reasons not to put everything in there so that people could still read it uh in a reasonable amount of time. But uh we need to understand that rules were being put in by humans for the reports we read. And as such, there are times you just need to go back to the raw data. >>I want to ask, >>albeit that it's gonna be tough. >>Yeah. So I want to ask a question about AI is obviously it's in your title and it's something you know a lot about but and I want to make a statement, you tell me if it's on point or off point. So it seems that most of the Ai going on in the enterprise is modeling data science applied to troves of data >>but >>but there's also a lot of ai going on in consumer whether it's you know, fingerprint technology or facial recognition or natural language processing. Will a two part question will the consumer market has so often in the enterprise sort of inform us uh the first part and then will there be a shift from sort of modeling if you will to more you mentioned autonomous vehicles more ai influencing in real time. Especially with the edge. She can help us understand that better. >>Yeah, it's a great question. Right. Uh there are three stages to just simplify, I mean, you know, it's probably more sophisticated than that but let's simplify three stages. All right. To to building an Ai system that ultimately can predict, make a prediction right or to to assist you in decision making, have an outcome. So you start with the data massive amounts data that you have to decide what to feed the machine with. So you feed the machine with this massive chunk of data and the machine uh starts to evolve a model based on all the data is seeing. It starts to evolve right to the point that using a test set of data that you have separately campus site that you know the answer for. Then you test the model uh you know after you trained it with all that data to see whether it's prediction accuracy is high enough and once you are satisfied with it, you you then deploy the model to make the decision and that's the influence. Right? So a lot of times depend on what what we are focusing on. We we um in data science are we working hard on assembling the right data to feed the machine with, That's the data preparation organization work. And then after which you build your models, you have to pick the right models for the decisions and prediction you wanted to make. You pick the right models and then you start feeding the data with it. Sometimes you you pick one model and the prediction isn't that robust, it is good but then it is not consistent right now what you do is uh you try another model so sometimes it's just keep trying different models until you get the right kind. Yeah, that gives you a good robust decision making and prediction after which It is tested well Q eight. You would then take that model and deploy it at the edge. Yeah. And then at the edges is essentially just looking at new data, applying it to the model, you're you're trained and then that model will give you a prediction decision. Right? So uh it is these three stages. Yeah, but more and more uh you know, your question reminds me that more and more people are thinking as the edge become more and more powerful. Can you also do learning at the edge? Right. That's the reason why we spoke about swarm learning the last time, learning at the edge as a swamp, right? Because maybe individually they may not have enough power to do so. But as a swampy me, >>is that learning from the edge or learning at the edge? In other words? Yes. Yeah. Question Yeah. >>That's a great question. That's a great question. Right? So uh the quick answer is learning at the edge, right? Uh and also from the edge, but the main goal, right? The goal is to learn at the edge so that you don't have to move the data that the Edge sees first back to the cloud or the core to do the learning because that would be the reason. One of the main reasons why you want to learn at the edge, right? Uh So so that you don't need to have to send all that data back and assemble it back from all the different edge devices, assemble it back to the cloud side to to do the learning right? With swampland. You can learn it and keep the data at the edge and learn at that point. >>And then maybe only selectively send the autonomous vehicle example you gave us. Great because maybe there, you know, there may be only persisting, they're not persisting data that is inclement weather or when a deer runs across the front and then maybe they they do that and then they send that smaller data set back and maybe that's where it's modelling done. But the rest can be done at the edges. It's a new world that's coming down. Let me ask you a question, is there a limit to what data should be collected and how it should be collected? >>That's a great question again. You know uh wow today, full of these uh insightful questions that actually touches on the second challenge. Right? How do we uh in order to thrive in this new age of inside? The second challenge is are you know the is our future challenge, right? What do we do for our future? And and in there is uh the statement we make is we have to focus on collecting data strategically for the future of our enterprise. And within that I talk about what to collect right? When to organize it when you collect and then where will your data be, you know going forward that you are collecting from? So what, when and where for the what data for the what data to collect? That? That was the question you ask. Um it's it's a question that different industries have to ask themselves because it will vary, right? Um let me give you the you use the autonomous car example, let me use that. And you have this customer collecting massive amounts of data. You know, we're talking about 10 petabytes a day from the fleet of their cars. And these are not production autonomous cars, right? These are training autonomous cars collecting data so they can train and eventually deploy commercial cars, right? Um so this data collection cars they collect as a fleet of them collect temporal bikes a day. And when it came to us building a storage system to store all of that data, they realized they don't want to afford to store all of it. Now, here comes the dilemma, right? What should I after I spent so much effort building all these cars and sensors and collecting data, I've now decide what to delete. That's a dilemma right now in working with them on this process of trimming down what they collected. You know, I'm constantly reminded of the sixties and seventies, right? To remind myself 60 and seventies, we call a large part of our D. N. A junk DNA. Today. We realize that a large part of that what we call john has function as valuable function. They are not jeans, but they regulate the function of jeans, you know, So, so what's jump in the yesterday could be valuable today or what's junk today could be valuable tomorrow, Right? So, so there's this tension going on right between you decided not wanting to afford to store everything that you can get your hands on. But on the other hand, you you know, you worry you you you ignore the wrong ones, right? You can see this tension in our customers, right? And it depends on industry here, right? In health care, they say I have no choice. I I want it. All right. One very insightful point brought up by one health care provider that really touched me was, you know, we are not we don't only care. Of course we care a lot. We care a lot about the people we are caring for, right? But you also care for the people were not caring for. How do we find them? Mhm. Right. And that therefore, they did not just need to collect data. That is that they have with from their patients. They also need to reach out right to outside data so that they can figure out who they are not caring for, right? So they want it all. So I tell us them, so what do you do with funding if you want it all? They say they have no choice but to figure out a way to fund it and perhaps monetization of what they have now is the way to come around and find that. Of course they also come back to us rightfully that you know, we have to then work out a way to help them build that system, you know? So that's health care, right? And and if you go to other industries like banking, they say they can't afford to keep them off, but they are regulated, seems like healthcare, they are regulated as to uh privacy and such. Like so many examples different industries having different needs, but different approaches to how what they collect. But there is this constant tension between um you perhaps deciding not wanting to fund all of that uh all that you can store, right? But on the other hand, you know, if you if you kind of don't want to afford it and decide not to store some uh if he does some become highly valuable in the future, right? Yeah. >>We can make some assumptions about the future, can't we? I mean, we know there's gonna be a lot more data than than we've ever seen before. We know that we know well notwithstanding supply constraints on things like nand. We know the prices of storage is going to continue to decline. We also know, and not a lot of people are really talking about this but the processing power but he says moore's law is dead okay. It's waning. But the processing power when you combine the Cpus and NP US and GPUS and accelerators and and so forth actually is is increasing. And so when you think about these use cases at the edge, you're going to have much more processing power, you're gonna have cheaper storage and it's going to be less expensive processing And so as an ai practitioner, what can you do with that? >>Yeah, it's highly again, another insightful questions that we touched on our keynote and that that goes up to the why I do the where? Right, When will your data be? Right. We have one estimate that says that by next year there will be 55 billion connected devices out there. Right. 55 billion. Right. What's the population of the world? Of the other? Of 10 billion? But this thing is 55 billion. Right? Uh and many of them, most of them can collect data. So what do you what do you do? Right. Um So the amount of data that's gonna come in, it's gonna weigh exceed right? Our drop in storage costs are increasing computer power. Right? So what's the answer? Right. So, so the the answer must be knowing that we don't and and even the drop in price and increase in bandwidth, it will overwhelm the increased five G will overwhelm five G. Right? Given amount 55 billion of them collecting. Right? So, the answer must be that there might need to be a balance between you needing to bring all that data from the 55 billion devices of data back to a central as a bunch of central Cause because you may not be able to afford to do that firstly band with even with five G. M and and SD when you'll still be too expensive given the number of devices out there. Were you given storage cause dropping will still be too expensive to try and store them all. So the answer must be to start at least to mitigate the problem to some leave both a lot of the data out there. Right? And only send back the pertinent ones as you said before. But then if you did that, then how are we gonna do machine learning at the core and the cloud side? If you don't have all the data you want rich data to train with. Right? Some sometimes you want a mix of the uh positive type data and the negative type data so you can train the machine in a more balanced way. So the answer must be eventually right. As we move forward with these huge number of devices out of the edge to do machine learning at the edge. Today, we don't have enough power. Right? The edge typically is characterized by a lower uh, energy capability and therefore lower compute power. But soon, you know, even with lower energy, they can do more with compute power improving in energy efficiency, Right? Uh, so learning at the edge today, we do influence at the edge. So we data model deploy and you do influence at the age, that's what we do today. But more and more, I believe, given a massive amount of data at the edge, you you have to have to start doing machine learning at the edge. And and if when you don't have enough power, then you aggregate multiple devices, compute power into a swamp and learn as a swan, >>interesting. So now, of course, if I were sitting and fly on the wall in HP board meeting, I said, okay, HP is as a leading provider of compute, how do you take advantage of that? I mean, we're going, I know it's future, but you must be thinking about that and participating in those markets. I know today you are you have, you know, edge line and other products. But there's it seems to me that it's it's not the general purpose that we've known in the past. It's a new type of specialized computing. How are you thinking about participating in that >>opportunity for your customers? Uh the world will have to have a balance right? Where today the default, Well, the more common mode is to collect the data from the edge and train at uh at some centralized location or a number of centralized location um going forward. Given the proliferation of the edge devices, we'll need a balance. We need both. We need capability at the cloud side. Right. And it has to be hybrid. And then we need capability on the edge side. Yeah. That they want to build systems that that on one hand, uh is uh edge adapted, right? Meaning the environmentally adapted because the edge different they are on a lot of times on the outside. Uh They need to be packaging adapted and also power adapted, right? Because typically many of these devices are battery powered. Right? Um so you have to build systems that adapt to it, but at the same time they must not be custom. That's my belief. They must be using standard processes and standard operating system so that they can run rich a set of applications. So yes. Um that's that's also the insightful for that Antonio announced in 2018, Uh the next four years from 2018, right, $4 billion dollars invested to strengthen our edge portfolio, edge product lines, right Edge solutions. >>I get a doctor go. I could go on for hours with you. You're you're just such a great guest. Let's close what are you most excited about in the future of of of it? Certainly H. P. E. But the industry in general. >>Yeah I think the excitement is uh the customers right? The diversity of customers and and the diversity in a way they have approached their different problems with data strategy. So the excitement is around data strategy right? Just like you know uh you know the the statement made was was so was profound. Right? Um And Antonio said we are in the age of insight powered by data. That's the first line right? The line that comes after that is as such were becoming more and more data centric with data the currency. Now the next step is even more profound. That is um you know we are going as far as saying that you know um data should not be treated as cost anymore. No right. But instead as an investment in a new asset class called data with value on our balance sheet, this is a this is a step change right in thinking that is going to change the way we look at data the way we value it. So that's a statement that this is the exciting thing because because for for me a city of AI right uh machine is only as intelligent as the data you feed it with. Data is a source of the machine learning to be intelligent. So so that's that's why when when people start to value data right? And and and say that it is an investment when we collect it. It is very positive for ai because an Ai system gets intelligent, more intelligence because it has a huge amounts of data and the diversity of data. So it'd be great if the community values values data. Well >>you certainly see it in the valuations of many companies these days. Um and I think increasingly you see it on the income statement, you know data products and people monetizing data services and maybe eventually you'll see it in the in the balance. You know Doug Laney when he was a gardener group wrote a book about this and a lot of people are thinking about it. That's a big change isn't it? Dr >>yeah. Question is is the process and methods evaluation. Right. But uh I believe we'll get there, we need to get started then we'll get their belief >>doctor goes on and >>pleasure. And yeah and then the yeah I will will will will benefit greatly from it. >>Oh yeah, no doubt people will better understand how to align you know, some of these technology investments, Doctor goes great to see you again. Thanks so much for coming back in the cube. It's been a real pleasure. >>Yes. A system. It's only as smart as the data you feed it with. >>Excellent. We'll leave it there. Thank you for spending some time with us and keep it right there for more great interviews from HP discover 21. This is dave a lot for the cube. The leader in enterprise tech coverage right back.

>>from around the globe. It's the Cube covering HP. Discover Virtual experience Brought to you by HP. >>Hello, everyone. Welcome to the Cube's coverage we're covering HP Discover Virtual experience. 2020. I'm John Furrier, host of the Cube. Great online experience. Check it out. A lot of content go poke around a lot of Cube interviews. A lot of content from HP. It's their virtual conference. HP Discover virtual experience. We have Cube alumni Justin Hotard, who's now s VP and general manager of HP Japan. Justin, great to see you virtually here for the virtual experience. How you doing >>Doing well, John. Great to see you again. A swell and really glad to be here. >>You know, just reminiscing about our previous interview a couple times. You know Jeff Frick is interviewed. I've interviewed HP Discover a couple years ago. Um, service provider Edge now is booming. Everyone's working at home. Everyone is seeing the global pandemic play out on a global stage and impacting our lives. But anyone in the in the I T. Business or technology business is seeing the massive gaps and the areas that need to be worked on. This is something that we're gonna dig into it, I think is really interesting conversation as someone who's in Japan. Honestly, Big telco presence, but also part of the global stage. So I want to get into that. But before we do, tell us about your new role at HP. What are you working on and what are you doing? >>Yes. So, John, currently, I'm the president of HP Japan. I'm responsible is the managing director of Japan and also the managing managing director. Our business in China as well. So keeping myself busy these days. >>A pack your own a lot of zoom calls, conference calls, could imagine the work. You're doing pretty big disruptions. I want to get your thoughts as an industry participant and who's seen these ways before. What is some of the disruptions that you're seeing right now? I see there will document in terms of VM or video, um, VPNs under proficient. Where are you seeing the big disruption? Because those are the obvious low hanging fruit. But it's certainly being an impact. The disruptions or creating opportunities, but major challenges right now. What's your thoughts? >>You >>know, I think I think specific and, uh John and we're seeing in Japan, and a big pillar is, you know, this is really a big inflection point in terms of how people work, and as you as you know, you think about Japan. The culture and the economy has been very reliant on face to face in relation, relationship driven. It's also there's been some traditional paper based activity in that space, as well as things like the Hong Kong stamp away. You sign documents to get you're not just for government approval, but even in private transactions. So all of that is actually under a great way to change. And so the obvious part is, we talk about virtualization and VD I It's really forcing people to rethink, um, you know, work flows and it's not, you know, it's not just one thing. Generally, it's across many, many parts. Education, manufacturing, obviously, obviously traditional enterprise. You touched on Zoom and other virtualization and beady eye, but it's it's I think it's coming across all industries right now. Based on this change, >>what's going on in Japan? Specifically, I know that some GDP numbers were coming in pre covert. I'll see when Covic it's given some of the things you were just talking about how they do business. The culture there must be impacted by the covert 19. What do you what you're seeing there, and how do they move forward? What is some of the changes that need to happen? What do you see? >>Yeah, I mean, I think you touched on. I think the economy that was already under pressure. Um, then you have Cove. It hit. Um, you know, Japan has a huge has had a huge tourism business booming based on the growth in Asia and obviously particularly in China, all of that gets hit. And, uh huh. And then, obviously, you know, the traditional way of doing business has been challenged over the past few months, but it's actually creating quite a bit of opportunity. And some of it is some of it is similar to what you see in other parts of the world. But, you know, we've seen many of the Japanese companies and medical devices and pharmaceuticals jump into innovation and everything from masks toe, um, you know, investment in, you know, in virology and other and, you know, in other areas and testing and all the things that you see, but beyond that we're also seeing is a lot, a lot more discussion around innovation. One place that we're seeing it immediately is education. There's a huge initiative around connecting uh, schools, primary schools, great schools and bringing technology into those schools is a way to accelerate the learning experience. I think obviously in this in this new world in the short term help manage on and ensure continuity of learning through through social distancing and some of the challenges that and everybody has, you know, in in primary education. >>It's interesting, you know, those traditional things like you mentioned just signatures converting at the digitally signatures of the stamping thing you mentioned. Also, the face to face with education, every vertical up is going to be disrupted and an opportunity. So that's what you guys see. That transformation is part of that. What are some of the patterns you see emerging so that your customers and prospects can capture it? What is some of the highlights? What's the big picture? >>Yeah, I think I think at a high level we talk a lot about digital transformation and remote work. These, by the way, were discussed before Covic hit, so I think it's It's just an acceleration. The other one is really around edge, and I ot, um Japan. Obviously great tradition of manufacturing this actually is gonna probably create new investment around manufacturing. Is Japan looks to build its manufacturing base is part of what we expect from the government stimulus programs out there. Um, but they're investing in. And I don't think the factory that will be built tomorrow is gonna is going to start off with a traditional labour view. In fact, it's going to start very, very organized against robotics AI using using i O. T. Using sensors to drive greater levels of automation. A lot of that exists today, but I think this this event just creates more opportunities for acceleration, particularly Greenfield. So we're having conversations with customers around all those areas right now. >>You know, one of the biggest observations I would say in the past 10 years, looking at the wave we've been on and looking at the massive wave coming in now is culture is always a part of the blocker of adoption, and you're kind of getting at some of this with the world you're in now, >>where >>the culture has to shift pretty radically fast. Whether it's the remote workforce, the remote workplace, workloads with robotics and AI everything work related workplace workloads, workflow was with the work. We're forced. I mean, always changing, right? So this is a critical cultural thing. Your thoughts on this because this has to move faster. What are you seeing as catalysts? Any kind of technology? Enablement. What's the What's the What's the data tell you? >>Yeah, yeah, I think I think a couple of things were, you know, we're seeing I think, one that we're seeing that given that we've obviously seen in the rest of the world for a number of years now is a is a shift, that consumption. And we've seen that grow from customers, right? So they're looking at How do we accelerate this experience, how they stand it up? How did they get it? Running and consumption as a service, you know, as a service, models are becoming even more attractive, and so we're seeing new interest in that as a way to build things, to scale things, to create flexibility for future growth. And it's not, you know, it's not just public cloud, it's it's public cloud and on premise applications. It's integration into the virtualization stack, obviously, with, um, you know, with players like VM Ware and Nutanix and Red Hat, it's ah, you know, with open shift containers. It's bringing all of that, you know, bringing all of that scale and flexibility and the other good place. Honestly, we're still seeing it is even in some of our traditional businesses, and we had a very large consumption model in a traditional transaction processing business and for that customer was about creating the flexibility for growth. Um, and so I think we're you know, I think we really are on the brink of a very different I t model in, you know, certainly in Japan to enable a lot of this innovation and to provide more more flexibility and more automation for, you know, for companies there in the businesses. >>And I just want to just validate that by seeing the day that we're looking at in the interviews we've had and even our internal conversation with our editorial Cuban research teams is, is it's happening now in the change you can't ignore it. You could ignore in the past were not ready for it. People process technology. Three pillars of transformation with Cove ID and we've seven, which is having this debate with our team this past month where it's not so much an acceleration in the future. The future got pulled to today, and people are now seeing it and saying, Wow, I need to move because the consequences of not changing are obvious. It's not like a hypothetical. You're starting to see specific use cases where the folks that under invested or didn't make the right bets might be on the wrong side of history coming out of covitz. So to your point about growth is a really key point. This >>is what >>everyone is thinking about right now. So I got to ask you, what solutions do you guys have ready to help customers? Because right now, solutions Walk are really all that matters. It walks that fine line between making it and not making it's having the right solutions is key. >>Yeah, and actually, you know, I think one of things you mentioned a great example of what you're talking about in transformation right in the airline industry. You know, we're seeing that we're going to see this in in Japan, right? This is a place where based if a service was considered a premium experience where you go to kiosks and automation. But now I think we're going to see now we're seeing already interested complete and an automation right bag check bag drop. And that stuff's been talked about for many years. But now it's an acceleration of the experience, and the difference is going to be no longer is it going to be a premium to talk to someone? It's actually about speed. So that's a place where, you know, obviously that's a heavily impacted industry. But as we see it come back in Japan and probably throughout Asia, I think we're gonna see a very different model. And to your question on, uh, you know, to your question on technologies, when I see us doing is really kind of three pieces I think you've got You've got solutions like VD. I were literally out of the box and we built a partners so that customers that are small, medium or large that wants something standard that they could just take into it quickly. We have a platform for also things like SD wan to our business, and we're seeing significant growth there, obviously, you know, mobile access, wireless access, Another place where we're seeing demand, just building on our core business and really seeing healthy growth. I mentioned education is one vertical, but we're seeing it in, obviously in places like manufacturing and on. I'm expecting this even more broken enterprise there as this customer, Aziz, many of our customers come back to the office and bring employees back in. And you can't. You can't have a traditional, you know, just density of desks, right? You've really got to think about how people have mobility and have flexibility to make being distancing and and even even kind of the in and out of office, right? How do I mean by that? That work experience in the productivity, whether I'm in the office for a couple days and how so? I think those are places where we see the technology. Then we talk about consumption service. So the flexibility consume it as a service which in all of those solutions we have offers around and then ultimately even a pop it out or hp fs our financial services, giving customers flexibility and payment options, which for many people that are cash strapped solves a real challenge, right? We talk a lot about the technology but fundamental business challenge of saying yes, I want to invest today. I need to get my work, my workforce up in productive with beady eye. But so they can start generating revenue and cash flow, but one of the cash flow to invest in that productivity. And so this becomes a place where, you know, we're just seeing a lot of traction with our customers. We can help them actually get that up and running, not not created huge cash flow outlay upfront and making get productive and get back on their feet. And definitely in the mid market and the smaller businesses, we're seeing a lot of a lot of activity there. >>That's a huge point, because right now, more than ever, that need is there because of the financial hardships that we're seeing that's evident and well reported. Having that financial flexibilities primary, that's a key thing. So that's great. So good to hear that. The second thing I want to ask you on the business side that's important is not just a financing because you want to have that consumption buy as you go from a cloud technology like standpoint as a service. But now you've got the financial support check. Next step is ecosystem. What are you guys doing on the ecosystem side? If I'm trying to rebuild my business or have a growth strategy check technology check. I'm gonna get some business help on the finance side. Third is partners. What's the status there? >>Yeah, yeah, I think there's I think there's a couple things. One is there's obviously the global relationships we have, you know, close relationship with VM Ware. You know that Nutanix relationship red hat, others that were standing up solutions that some of things I mentioned like me. I literally packaged out of the box experience with a complete turnkey solution, right? So so our partners don't even have to. You don't have to optimize that they can. They can just deploy and enable their their customers. I think the other place in Japan, it's you know what? We didn't touch on it earlier, but one of the really important things and is most of our customers depend on their vendors, depend on their partners, actually do a lot of their I t work. It's a little bit unique in Japan versus the rest of the world. And so this is a place to We're spending a lot of time with our partners with our entire partner ecosystem to make sure they're ready. And I was just actually in a conversation yesterday with a partner talking about the investments they're bringing their they're putting in to really bring that that core innovation around, um around beady eye and around around SD win for as an example and working with them to make sure that they've got all the tools they need from us so that what they can deliver into their into their ecosystem is very turnkey and easy. And I think I think that's really, really, really important. So it's not just the, you know, the global technology relationships that we talked about certainly in Japan, it's also about it's about stitching together. That entire ecosystem that, you know that allows the the end customer toe have ah have a turnkey experience and everybody that's involved in that delivery, you know, to have to have a seamless experience to get these customers up and running. >>And it's great to you guys had that foundational services, but also now with some great acquisitions. You got the cloud native experience across environments and then the reality of the edge Actually, work force in workplaces are changing. VD I etcetera. But you've got edge exploding. You guys also made a great has been years of investments and edge. So with telco and WiFi, all kind of coming together kind of sets up for a nice kind of front end piece with the APP development piece going on. You're seeing that in Japan as well. >>Yeah, I think all of our major telcos there have you have announced five G projects projects and launch is we've got a new you know, we've got a new entrant in the telco space Pakatan launched just a couple months ago. Therefore G solution. But I think all of that is very favorable to driving greater levels of connectivity. And I think you know, it's a lot of times we talk about five G. We talk about kind of the next mobile hands when we think about the next mobile device or handset. But it's also a lot of the private lt and connectivity, and I think we'll see that actually, the intersection of five G and WiFi. In some cases, we're having conversations about, you know, are there opportunities in five G and as the back whole and actually using WiFi in a smaller medium sized office home? And so there's a number of things like that that I think will be compelling and great opportunities for growth, because Japan's an incredibly A. So you know, John is incredibly well connected society and a lot of connectivity, but but I think this is also creating new demand. I mean, people weren't working at home all the time and way. Obviously, you see that in other countries where maybe media streaming and video conferencing we're working on the plans where people got their original Internet service. I think in Japan that's even more so because this tradition, if I go to the office at work and I know when I'm home, I'm relaxing. I mean, this is fundamentally under a huge shift right now, and so I think it's gonna be a you know, a really significant wave of growth and five g n and wife by as this this new. Imagine this new, this new remote work experience this new mobile work experience happens a >>lot of architecture to really work a little bit. Not radical, but certainly transforming. And its benefits. Exciting time, tough environment. Right now, let people working hard have to come out of it. But it's super exciting from a tech perspective. What it can enable. Really appreciate. Of course, we're here in the HP Discover virtual experience bringing you the best content. So I have to ask you, what sessions? Um, do you think people should turn into for the virtual experience? >>Well, you know, it's of course, the one that I think everyone has to make. And I never liked the missus is the keynote is that obviously Antonio always gives us not only, you know, some of the great technologies and launches, but but also really a vision of where we see the industry going to. I think Tom ones foundational. But we've got some great sessions on consumption and as a service that are actually set up for some of our customers and partners in Japan and across Asia. And I think those will be really good discussions, you know, with, uh, you know, with folks like our CTO commercial coffee and our our global general manager for green like white. So I'd encourage folks to turn into, you know, to really learn about as a service because I think a lot of times we talk about the cloud and we think about public Cloud only. Um and I think for certainly for many of my customers and partners in Japan, um, I think with everything we just talked about, the cloud is gonna be an inevitable reality. But the cloud is an architecture, and that's where some of these new technologies and services that we're bringing out will be will be really, really valuable, whether it's in storage or it's in compute virtualization, enabling collaboration or some things that we're doing right now, John. But be a video video conference, but but also also even just in automating the data center and bringing, you know, being a new levels of productivity back into some of the traditional data center. A swee as we need to do that in order to enable the new edge and some of these new applications around AI and machine learning that are necessary, Teoh to support the growth of the economy. But you know net net. I think this is going to be. These are all things they're going to support growth and recovery. So I think it's a great opportunity and discover for our customers and partners to learn what they could do to help accelerate that and and and accelerate the recovery. >>Certainly, Cloud has shown the way it's operating model. It's not just public, it's on premise. It's an edge is so it's not just multi cloud either. It's multi environment. This is where the market's going. So you guys are on the right track. Justin really appreciate the time. But I want to ask the final question. I want you to complete this sentence for me as we end this out on our virtual experience, Our competitive advantage HP HP is competitive advantage to our clients is that we are blank. >>Our competitive advantage is that we are the best partner, deeply understanding their needs and bringing them the right innovation and value that they need to deliver their business outcomes and in this case, obviously recover and get back to growth. >>There's a whole chart. Managing director of President of HP Japan great to see you. Congratulations on your new role over there on Asia Pacific. Um, and thanks for checking in on the virtual experience. Thanks for coming in. And good to see you again. >>Great. Great to see you, John. Thanks again for having time for me. And best of luck for a successful discover virtual experience. >>Awesome. Okay, I'm John Furry here in the Cube studios, getting the remote injuries for this virtual experience for HP Discover. Thanks for watching. >>Yeah. Yeah, yeah, yeah.

>>from around the globe. It's the Cube covering HP Discover Virtual Experience Brought to You by HP >>I Welcome to the Cube's coverage of HP Discover. 2020. The virtual experience I'm Stew Minimum course This year we're getting to talk to HP, their customers and their partners where they are around the globe. We said many times these were, you know, together, even while we're art happy to dig into a really important partnership with HP and VM Ware. Welcome to the program. First time guest on the program Christmas Satterthwaite. She is the vice president of product management for Compute with Packard Enterprise and welcome back to the program Lee Caswell. He is the vice president, product marketing for hyper converged infrastructure, her at VM Ware talking about V sphere and how that gets bundled into everything else. Chris Stanley, thanks so much for joining us. >>Thanks for having us. >>Alright, So, Chris, let's start with you. So you know, like a little bit about your background? The HP and HP relationship with VM Ware, you know, goes back to you know, the earliest days, but, you know, give us a little bit about you know where in the portfolio you focus on and and how VM Ware fit, then >>Oh, sure, sure. So I've been with H P E for 23 years now, and I'm leading the business for Alliance and Synergy and talking a little bit about the relationship with VM Ware. So we've been partnering for 19 years and we have over 200,000 joint customers together. And I'm actually often asked about the partnership and how we partner and we really partner across all fronts. So it's from the innovation for the co engineering, the working with specific customers on what solutions are good for them to servicing our customers. So we're really working across the board, and a lot of customers we work with closely are really impressed with how closely we're working together, because that's what they look for. >>Yeah, and we it's it's It's an interesting relationship to watch. Obviously, you know, long history Chris talked about on the it side, but the VM partnership is more than just the compute. Maybe gives a little bit of a view inside. You know, the joint engineering go to market efforts that you do. >>Yeah. I mean, customers always sit up straight when we talk together, because both hard companies or just raw engines of innovation and they look forward to not just the capabilities or bringing, but also the seamless way that we integrate that and make that seamless and easy for customers to digest. So certainly on the server front through V sphere, that's been a longstanding, uh, participation the VM Ware Cloud Foundation. Then this fully software defined stack became a really interesting way for us to go in partner and show joint value to customers who are trying to basically get more speed the speed. We're gonna talk about a lot that today and then finally, the confirmation that we've opened up into storage systems, right? So there's certainly a hyper converged element of it. But now what we do with Nimble three Par and now I'm Era is a really interesting way for us to take the vehicle technology that we have and extend the common operating model. So really just interesting innovation for customers that take advantage of as they look to innovate themselves. >>Krista, from from a research standpoint, you know, we were really early in watching, you know, new models of building out storage. And we said, You know, the pendulum has swung back to pull it much closer to the compute you talked about. You've got a broad portfolio and compute. You know, synergy has some really interesting, you know, ways to be able to compose things and leverage software capabilities. So maybe give >>us a >>little bit of how HP differentiates in the market cause, you know, VM Ware does partner with lots of people. But you know what separates the's point solution? Everything else out in the market? >>Sure, and synergy is a great example, because what we're seeing is really, really high interest on on synergy with VCF. And the reason for that is because customers want a software to find infrastructure that they can compose, compute storage and networking as they need to to address any workload they have. And they want to do that with a partner like VM Ware and VCF. So what we see is customers choosing those two things together and building their hybrid cloud environments on those two. When I think of some of the customers that we have, I'll give you a specific example. So Banco Santander's one of the largest banking groups in the world. And they are really trying to drive innovation across all of their, um, locations there in North America, South America, Europe, Asia. They're trying to drive innovation across. They have a big project, and they selected Synergy and VCF and as a service green lake bottle to help them transform their business. And they're really excited because what they think this is providing to them is a reduced a data center space, reduced power consumption and reduce costs. And all of that with automation, more automation than they've had in the past. More flexibility than they've had in the past. >>Yeah, I'm so glad you brought up the Green Lake because you know, those as a service models. You know, Cloud obviously has been a big discussion for the last two years, Lee, Um, you know, VM Ware is no stranger to, you know, working in multi and hybrid environments. It gives a little bit about you know what you're hearing from your customers. You know, if you meant Green Lake, how does that fit in the overall? You know, VM Ware multi cloud offering. >>Well, you know, we all know these air uncertain times, right? and customers and uncertain times. We're looking for flexibility. How do they go? And basically, you know, invest smartly, right? Look to come out of uncertain times stronger. And what we're finding is that the flexibility, you know, starting it. You know, we're really impressed with this energy platform, by the way, the idea of being able to flexibly, configure, compute and storage to tie into external arrays from that end, to have the VM Ware Cloud Foundation is a unifying, software defined data center concept that's available on Prem and then extends into the hybrid cloud. This basic gives investment protection to customers who are looking for how to invest in. You know, you mentioned Green Lake as well, and I just mentioned that innovation on Green Lake is about true consumption based purchasing miles, if you will. And that's different than just a financial engineering aspect. I mean, that's real innovation and real technical innovation in terms of how customers can go in a why infrastructure at the time that they needed relative to that compelling business models, >>and I'll chime in their Teoh, I'll tell you a little story about when I first presented the green like model. At that time, it wasn't called Green Lake, but I presented it to a bunch of customers, about 100 customers in an advisory council. And I have never had so many people come up to me afterwards trying to figure out how they can get that for themselves as I did when I had that presentation. What really resonated with people is that they wanted to take advantage of the latest and greatest technologies, but they didn't have big budgets. And when they did take advantage of those technologies, one of the challenges has been growth. So when they need to expand, that's another procurement cycle. You have a way to have the standard all love with Green Lake. You actually have that added capacity on sites and then also painful what you use s so they were attracted to all of those things. And I feel like right now and the environment were in many people had big, big projects, things they want to do, and they may have planned those ah, a capital expenditure for that. But that money may not be there, So Green Lake is one of those things that can help overcome that challenge. And what we found is when people use green like we don't see many people. Um, go back. So what? I was talking to the green like team, and I said, You know what happens if they decide not to do Green Lake and they're kind of pause, and they're like, Well, we really haven't run into that very often. So it's very, very popular, and customers were really happy with it. >>Yeah. Talking about innovation and helping customers take advantage of new technologies. You know, maybe we'll start with you and Krista. Definitely want your but been a lot of feedback about V. Sphere seven. Of course, One of the big pieces of that is how, you know, cloud native container ization kubernetes It can be pulled into the, you know, the virtualization platform. So we're talking a lot about vcf Lee. That's the you know. Wait. Get it. The community's piece today. Tell us a little bit about that and what you hear from customers. And then Chris, I'd like to understand how that fits into the HP offering. >>Yeah, you know, the data we have shows that 95% of new applications are being developed on containers. Why? Because it's the speed of ill. And so at VM Ware, we've re architected V sphere for the first time that, you know in the last five years. And you look carefully at what the EMR integrates into the hyper visor because that's what we believe is going to be really benefiting from performance efficiency and management. And so we've integrated kubernetes directly into the hyper visor itself and then to our Tom's, a portfolio. Introduce an upstream compatible kubernetes development environment so that we have developer ready infrastructure. And that's really important because at the speed of new applications, basically you need to be able to respond quickly to those and what VM Ware has always offered right, which is a resilient underlying infrastructure with an intrinsic security model built in conceptually important when containers are being spun up more quickly. All right, mark quickly. They're being portable and portable across the hybrid cloud. Those models right mean that you need and convince you get value right from this integrated model that leverages all of the experience and knowledge that people have around how to run V Center and V Sphere so really exciting, and it's available in VCF for with >>I actually see the interest. I see customers asking about an enquiring about it. Vikan, you know, definitely second everything that we just said. I think you're really you're going to see a really fast transition over because there's so much value. Add it in. >>Excellent. Okay, Crystal, while I've got you on the compute piece, you know, legally said that 95% of application new applications are being built on container ization. How has that impacted architecture, er and how you're working with? >>Yeah. So what I find is that customers are very interested in containers. What we're doing is we're helping them from a services standpoint. A consulting standpoint of many of these customers are adopting for the first time trying to figure out how they could they could leverage containers in their environment. From our standpoint, it's making sure that we have the right platforms and we're advising and consulting and helping customers get there. >>Excellent, Lee. You know, Kristen talked about a sense and under one wondering if you've got any customer examples you like to share? >>Yeah. Great. One is ah, portion. I love the portion example. Just because portion, just the epitome of speed. And so the idea of this flexibility well, you're finding rate is the flexibility, right? Starting from, let's say, from a synergy, I'm flexible on the part of their allocation, right? And then, with VCF right now being able to be flexible across the hybrid cloud and now with VCF or with ponzu, the flexibility of introducing new modern applications support on Finally Layer and Green Lake On top of that which which is also using it, gives you this idea that you know, especially in uncertain times. But, you know, regardless, the changing business environment where everyone's responding, toe app, development rushers, timelines and innovation. We've got a really interesting model now for customers to invest responsibly and be able to respond quickly. >>Hm. Excellent. Crystal, I guess. Said the other pieces were at discover any updates on the portfolio expanding the VM solution. That >>Yeah. Yeah. So I'd like to talk a little bit about our pre validated synergy vcf solution stack with built in automation. So we literally got rid of hundreds of that's pre and post employment so we could speed deployment by five times. We were talking to point in hours instead of weeks. So we're really, really excited about that. We're working together to make sure we're making things easier for customers making that journey to a hybrid cloud very, very simple. So we're really happy to have, you know, offer that to customers. >>Great Lee, Any any final words you can share on the partnership? You >>know what I might say? It's right that the pace of innovation from our companies right is so great, Right? That really v vm Ware Cloud Foundation is a way, you know, in our joint effort and joint delivery rate is a way for customers to assimilate all of this innovation. So that day zero, it's guaranteed the work. And that day two, you can lifecycle manage all the individual components from a common sec manager interface. That's the value that we're bringing together today. Is that Listen, you know, putting all this in place conceived, daunting until the VM Ware Cloud Foundation, with synergy with all of the joint value we have basically makes it manageable so that you can go and basically stop looking down it infrastructure. Look up the ass. >>All right. Christine will let you have the final word and final takeaways from HP Discover. >>Okay, sure. Thanks. Together. What we're trying to do is simplify that journey to hybrid cloud. Make sure that customers can innovate faster, provide stable operations and reduce their costs. >>Well, Chris Stanley, thank you so much for joining us. Congratulations on the progress. Looking forward. Toa watching down the road. >>All right, thanks. >>Alright, Stay tuned for lots more coverage from the Cube, HP Discover 2020. Virtual experience on stew Minimum. Thanks for watching. Yeah, >>yeah, yeah, yeah.

>>from around the globe. It's the Cube covering HP Discover Virtual experience brought to you by HP. >>Hi. And welcome back to the Cube's coverage of HP Discover 2020. The virtual experience. I'm stew Minimum and happy to welcome back to the program. One of our cube alumni, Partha Narasimha He is the chief technology officer of Aruba. Which, of course, Aruba is an H p e company. Partha. Thanks so much for joining us. Thank you. Alright, so HP Discover is a big event. But, you know, for the networking people, of course, Aruba has its own event atmosphere, which happened, you know, just ahead of Discover you gave a keynote there some news there that we'll talk about. But, you know, just, you know, we bring our audience up to speed a little bit about, you know, the role of the networking inside of HP with Aruba. >>And so you know, when everybody's primary focus is networking and security. Uh, we really have expanded in the past few years and scope of the problems that we work on, what we call the intelligent edge and we define the edge is where people are, where the action is And how do you think about the kinds of experiences that end users care about? In addition to just connecting security into their absence of data on the upside, but also about the experiences in the physical world? And then there are these stakeholders that care about in an efficiency, productivity and so on. So the intelligent edge is it includes networking and security, but it really focuses on people and businesses. Hooks. >>Yeah, that's great. You know, Often we talk. It's, you know, the business outcomes that matter and experiences. It's you know so much about people. The current global pandemic absolutely has put a real focus on people. Um, you know, from a networking standpoint, of course, everybody's working from home a lot more. Um, you know, VPN services need to be considered. And you know what? I'm curious the impact from your business and your customers as to what's happening. >>I think this is where you know the focus on on the intelligent edge on people's experiences and business outcomes. Uh, is actually it was being having now, with the presence of endemic, if you're defining and go back to the definition of the edge as where people are and where the action is in the last 2 to 3 months. A lot of that exists in people's hearts in all of our homes. That's where that's where I am right now. And that's where we all of being, Um, so what does that mean for where the edges? And so we kind of see at least three phases in here, where right now we're focused on business continuity, Which is how do you know enable employees to continue to stay productive and connect securely to be enterprise data? Perhaps, but also, when you know some of the subsides, how do you bring people back safely? Go into physical spaces? And that's what we call business recovery. And then, as I talk to customers, you know, there's there's a spectrum of opinions about what is going to stake. And, you know, if you call that the new normal Andi, when an image goes out of our in our lives, it doesn't look like they're all going back to everywhere in January of Apple Siri. And so what is the new normal? And how do you how does a painful that's that's really what we're focused. >>Yeah, it's so important right now. Parts you know, when you look at enterprise is rapidly adjusting to to ah, situations is not necessarily what we think of. Of course, in the last few months, we've had to move very fast to be able to enable the workforce. Uh, I would love to hear what you're hearing from CEOs that there and customers and, you know, how are you helping them react to things you know much faster than they might have. >>So a lot of the business part unity. Actually, the focus is on 19 right? Because you know, how do you deploy technologies are actually leverage the technologies that have already been deployed in order to allow employees to stay productive from their homes? And there's been a spike in demand from for work from home solutions. Believe it or not, Aruba had we have built a solution for the remote access point way back in 2005 or 2006 when there was a different endemic, a time as a business continuity solution. But given the intensity of how this pandemic is affected all of our lives there was a strike and demand for work from home solutions not just from a connectivity and security perspective, but also every employee is home eyes very different, right? Based on the speed of your Internet connection. How many other people are home? How many other devices are connecting to the home network and what else is happening in the three Netflix streams running in parallel? And in this case, in that kind of environment, how do we now provide some visibility for key help employees getting there? So while we built a remote access point as a security solution, we ended up realizing that would be really solved. For the end user was a better user experience where they just see the same network that they see in the office. They see that home but more again, helping I t get some visibility and maybe troubleshoot some issues employees might have. So all three of these have been integral components of that solution and, you know, it became even more front and center well, when the wind and make it in terms of the site. >>Yeah, you know, when I think about security, has really, you know, in the last five years or so escalated only to the C suite. But the board level for constant consideration, has Has the current situation really raise the visibility of networking, you know, to the C suite. >>It has essentially, you know, the focus Until now. Could be in that. Okay, I my all of my employees get into the office and also and create an environment within the office building that allows for collaboration that allows for seamless connectivity and security. Um, but the pace at which we all have to go to this work from home situation, what's the time? And I was so shocked. I have to respond quickly on day after this phone, quickly where, you know, they could have done with a few dozen office buildings to now thousands of employees homes, and so >>be bigger. >>The all of the effort that we put in to create that solution earlier now pick off because we were already but this for for this situation. Even though, you know, we all live in interesting times, and I never want to see this again in my lifetime. But the fact that you know we had a focus on it for the last 15 years or so made it ready for us. But more importantly, as we look at, you know, as the business community face was about I p the business recovery, which is which is probably very a starting point right now. How do we now bring people back safely into lying to physical spaces? Now the stakeholders are you know, that set is expanding, right? Whether it's, you know, maybe we have the steam called the crisis management that is looking at Okay, how do I now manage Not just the crisis, but bringing people back in facilities is important, because if things space has to get rearranged in order to make certain density or spacing objectives, so they know they have some interest in there marketing. If you're a retailer, you know, hospitality and so on, they get interested in it. So there's a lot of other stakeholders now the lie on the infrastructure that I be has deployed primarily for security and security. Now that same infrastructure, it's gonna go benefit other stakeholders so that you get a competitive advantage in the business recovery face. Like if I'm able to safely brain a lot of my key employees that are required to be in physical spaces back in while addressing all of their concerns about the health and the safety associated with the recovery. That definitely gives me a competitive. And I believe that the solutions and Aruba has provided to I t. Until now are now. There's a There's a spark like Chinese on it because a lot of people, a lot of other stakeholders, could benefit from that infrastructure. That is already, >>Yeah, there's a lot of conversation going on in the industry about what things look like post endemic. And, you know, while there is still obviously a lot of uncertainties, we really think there will be some hybrid modes going on. So, you know, work from home might not stay permanent. But many companies, we're talking about being more flexible. So how does that impact? You know what you're offering? Cause, you know, I think about, you know, from the enterprise. You know, I needed a certain density. Now I need to think about Okay. How do I make sure that whether you're in the office or working remotely that I can have you participate and have the same kind of experience wherever you >>are? And, you know, this is again this is where we rely on the network infrastructure, right? Because if you dig ah, connected with the network that enables mobility is secure and is always available, it drives participation. That participation leverages net flow data to provide visibility toe into physical space. Right, And you think about even the recovery face. And we see, actually, three achieves three interesting scenarios and organizations with customers on how the network can help them in the recovery face. And it points to dispensing requirements are how do I reduce density so that I get some level of increased distancing amongst my employees. So that way you can look at naked data and figure out okay where the hearts thoughts are in terms of people density and can go make changes to those to try and lower that meet my internal guidelines or public safety guidelines to shared spaces are also medium of transmission, you know, off this particular virus or disease, and so shakes faces like conference route cafeteria tables and others that we can again use the network to figure out usage of those and potentially provide guidelines to cleaning crews to pay more attention to certain spaces in favor of others necessarily seeing the same level of usage on three. If in the unfortunate situation that some individual becomes a person of interest, we can quickly figure out all of the spaces that they have seen in the past. A certain window, including who else they could have overlap are being close to within that space, right? So at least you're not relying purely on human memory for contact tracing, there's a certain level of additional data that can be used to enhance a refresh human memory. That is really what we see happening in the business recovering. But you made a good point on what is the new normal. Because as we again after customers, I'm trying to gauge what is going to stick beyond the beyond the recovery feet, striking that you fast forward, let's say, a year from now we have a vaccine and the viruses control. We are going to go back to everywhere before the widest entered our lives in and on. The common opinion seems to be that some things are here to stay, and you look at work from home. You made a reference to that. You know, a lot of our customers do believe that there is gonna be an increased amount of work from home that stays with us, even even after the biases off all of our lives. That again, the special things we built for the business continuity continues forward. Even as you know, some of you know we start to get back into physical spaces security again. It's paramount rate the home, essentially as far as I t is concern is an uncontrolled in mind because they just don't have control over many things that happen in brackets homes. And so how do we bring in a layer of visibility and some degree of control in an environment that is inherently not subject to that level through the same way that that an office building can be? And those are the kinds of things that we're looking at. When we talk to higher education customers, for example, they are looking at plans for them. You know this upcoming fall semester, or for the next I can make your off running the classrooms at 30% occupancy. So if you had 100 students sign up for a class physically in the classroom, they only want to have the respondents and the other 70 could be on campus, but they're all dialed in remotely online past. But how do you manage this process or which study people get to be in the classroom learning way? And we believe that a lot of these work, the work flows and interesting use cases that directly address the intelligent edge are gonna become important as we get into that. >>Alright. And I'm glad you talked about the intelligent edge. So your keynote that you gave that atmosphere was accelerating innovation at the edge. And you have the tough task of being right before the Space X Speaker two. So give us a little bit our audience a little bit about you know, the innovation. How should we be thinking about the edge? >>So atmosphere visitor Two weeks ago, we announced the manage services platform on the SP for sharp and it's a little bit of a play because we really believe that we're building solutions that have 1/6 sense in in sensing what end users looking for what stakeholders looking for when problems show up and how do we quickly resolve that right, So that degree of focus on our data driven AI operations was key in us starting to coin the term DSP on it services platform. So it really looks at addressing not just connectivity connect and protect. We're also analyze and act because the telemetry data coming out of the network is really the same data that is that helps with the business recovery. But we won't actually bubble that up and put it into a common daily that helps us deliver a better connection and connectivity and security services, but also enable all of these experiences and outcomes at the edge. And so the CSP or then Ed services platform was the key announcement atmosphere this year. And we see that as the the foundation on which everything that we're gonna do starting now is going to get >>Yeah, I'm curious. You know, we talked about some of the the things that have been accelerated due to the current situation. After that respond work from home in the and the like. When you look at edge environment, is that something that you know? Is that something you see people, you know, accelerating them or they pausing them. Is it just kind of happening at the same pace any data or sense that you have from users right now. >>So edge is going to become even more important that we used to focus on the edge. We had the focus on edge for a while, but uncle, now until the pandemic it us. The assumption is always that people are going to show up in physical spaces and then let's focus on the experiences of the hour. I believe with the pandemic coming in, some of the power of choice has shifted towards the towards the user of the person in choosing whether they want to consume a particular service experience by going to a physical space or by staying at home and doing it on the radio. I look at the past few weeks, we've had a few. Both parties were used to me in person, and now we are doing it over a zoom or other video conferencing policies. So that choice moving over to the person means that we can't just assume that people are going to show up in physical spaces and then focus only on okay once they show up, what can I do about the experience of the outcomes? The focus on edge is now shifting to where we have even before, we have even look at enabling the technologies and experiences that entice people that convince people come into the physical space and consume that service on. But our experience and that means that the scope of what we do at the intelligent edge actually is gonna increase is gonna whiten. And that's the reason why it was timely that we were working on the ed Services platform. Even, you know, it started working on it long before the panoramic ever showed up. But that focus is now putting us in the right place. You know, from a competitive perspective, leverage all of the technologies that people so far, the package it up together to offer our customers something that is far beyond just connectivity and security. >>Great final question I have for you. You're talking about these, you know, not necessarily in person. Experience is here. We have, you know, did the Discover virtual experience give our audience just a little bit as to what they expect from Ruba and what you want people to take away from the Discover virtual experience when it comes to Aruba and networking at hp, >>right? And you know, the common way we kind of when we talked to some customers is always an association off of the Aruba brand todo a wireless lan. And you know what time in the past five years is being part of Hewlett Packard Enterprise? We've kind of expanded that into other networking and some some of the security functions that we also. But more importantly, I encourage everybody to go look at some of the technologies that we packaged together as orderly it services platform and how they can help. Our customers are not just like we are also all of the other stakeholders within their organizations, but to create that compelling experiences and outcomes at the edge. >>Excellent. Well, thank you so much for joining us. Appreciate all the updates. >>Thanks. Thanks for having me. >>Alright. Stay tuned for more coverage. HP discover virtual experience. I'm Stew Minimum. And thank you for watching the Cube. >>Yeah, yeah, yeah.

>>from around the globe. It's the Cube covering HP Discover virtual experience brought to you by HP. >>Welcome to the Cube's coverage of HP Discover 2020. This is the virtual experience. I'm Lisa Martin with the Cube, and I'm joined by a couple of guys who were gonna talk through one of HPC ease. Longest partnerships. We've got shells. No Ryan and the Senior director Ecosystem Sales or North America at HP And Dr Rajesh, It's really a Boston. The global head of sales and solutions for the TCS. Gentlemen, welcome to the Cube. >>Yeah, Thank you. >>So, first question for you is I mentioned HP and TCS have been partners for over 30 years. Talk to our audience about the partnership and how it has evolved to where it is today. >>Yeah. Thank you, Lisa. Firstly, you know, I'm pretty excited to be part of this Cube interview with garages. You know, I know him personally for over five years through various interactions globally and this new role for North America. This is our strategy and global system integrator partner. And this is a longstanding partnership between HP and this years has grown multi falls over the last 30 years. Ah, we you know, pretty much enjoyed every single I would say transactions or the business engagements, what we've had so far. And we liberate each other for our internal I T requirements and also to drive joint, go to market initiatives across the world. That's making this a truly 3 60 degree partnership. There is a lot of heritage, a mutual trust and respect between both organizations at all levels and the complimentary offerings. You know what you will hear a lot more in the next couple of questions. Uh, we bring to the table together are very unique and very differentiating to the clients which are >>excellent. Dr. Rajesh, walk us through some of those joint offerings that TCS cloud in h e or delivering. >>Yeah, so far. So far. Thanks. I just want to thank the HP team for giving me the opportunity to up to a larger audience. Andi, This new normal. This is the first time I'm doing an interview like this. Thanks for that experience. Actually, as Jules mentioned, this relationship goes a long way. I am talking about the larger PCs were a long relationship, Andi, specifically on the easiest load we started this journey in a very, very practical way. Five years back it was it was started in a very, very small trial and error basis. We started this relationship RPC explode. But at this point in time after So yes, we have taken this into ah, new norm, actually. So I'll give you a couple of examples. One of the examples We have a very major retailer in Germany, which we work so that it was a $1,000,000 deals. Our busiest on GHB. Yes, you wanna unique offering to the customer s AP and a space on that is really growing a lot. And that's the one offering I would like to tell the audience that really has picked up and spent on the relationship in the German region. Right now we are trying to take that up, offering across on other other regions also, so that is one of the key offerings that we are doing it. The other offerings are multiple offerings we are doing. But again, I want to highlight the storage as a service offering. Great. It's everybody in the industry today, Andi, we are experimenting that in the initial stages in Australia we started in Australia a small offering. And now we are expanding it in the US geography in a big way. And this year we are going to make that as a unique offering. And we're going to offer they're all over cloud customers as a storage as a service offering. Also multiple other offering, Lisa. But I just thought that I like this tool which are making our business. We're making a lot of business together with these two offerings >>is the, uh, s AP opportunity that you mentioned is that the Hana as a service that TCS is delivered? >>That's correct. So it's ah, it's a service. But the uniqueness of that particular offering is we jointly created the architecture so that the customer can use that, like a database as a service model. Right? So it was It was not available that time in the industry so easily like what we offered at that point in time to do enough years back. We offer that particular said we spoke a summer and interestingly, that particular offering the customer was using s AP themselves as a service initially, and they migrated their to us actually from Maybe that's a reason they bought HP and TCS. There is like a summer on this API and a platform. So that's the That's the interesting story under, >>if we didn't do that just a little bit further, I wanted the audience to understand the impact that this partnership has H p E and TCS delivering Hana as a service or your customers. What are the benefits there than what the customer, as you said was doing previously? >>Yeah, yeah, I think I just want to highlight the three or four points that make that this offering very unique, and that helps the customer number one is associated with model. So the customer has got the complete flexibility off going up and down like a true cloud model, right? And so it is a really a unique proposition at that point in time, where the customer not a story about using less for some time and then using more sometimes so it's kind of a complete, flexible model that we offered at the time. Number two is, it's a complete customization is possible. It is not like a fixed architecture. The architecture is so flexible so that the customer business needs can be met through the architectural changes. So it's not like normally people think that lotus highly standardized architecture, right? So that has gone out, and we were given a flexible architecture for the customer. That is the number two number three, obviously the cost end of the day. There's a business case which we need to make it work right for the customer. So obviously, with the PCs and HP coming together, we were able to do the costarred, want age with a customer that is the third advantage of that. The last, but not the least, is the quality of service it is it is all about. I always used to tell my partners that selling is easy. Delivering it is what it's important it is, which will make the customer to stick with you, right? The were given and delivery quality experience who our customer s so that I think that makes a very unique proposition from a technology perspective from a pricing. But but from an architecture and also from the delivery perspective. So those are the few few things I just thought that I violated. >>Excellent. So a couple of words that you mentioned popped into my mind as really even more well, have a different meeting as we're in summer 2020 flexibility and unique offering chills back to you from a go to market perspective. How is that relationship with HP? And he says, changing in the Koven era. >>Yeah, it's pretty interesting, and I would like to call it an example off. You know, what we see is is that you themselves during the corporate times, you know, it also came in the in the pets close to 90% of the workforce. We're 100% productive. Uh, and, uh, they have a plan to go 75% of the employees, you know, go being remote by 2025. Right? So that's the journey they're taking on. And another thing that you notice there's a lot of the, you know, During the corporate times, many of the customers were looking for solutions like virtual desktop infrastructure. So they wanted their employees to be productive, bi directional and in the other area of focus was like a TCP, you know, how do I kind of make sure on the applications are available to you? The customers and also do their internal organizations. So we've seen a lot off. I would say engagement with that is I could picture team and also the solution team toe address This requirements off the market joint >>when we look at certain things that now might even be more important with this new normal, if you will, that the fact that most companies are still in phase one of this work, everyone works from home trying to get to a phase to that might see some some maybe by function groups coming back to the office and then getting to this third. Maybe it's the new nirvana of some hybrid workforce, where there's gonna be some that come back permanently, and some that Don't and Tony Unirea chose, I saw was quoted last month as saying he thinks that 50% of the workforce will only 50% will come back. So in this new not only hybrid I T environment in which your customers love it now, this new pending hybrid workforce environment how are you addressing some of the concerns together with respect to the network connectivity security, >>I will just take the cost anything. It's a very, very interesting at least when we all ended up in this pandemic in March. We really very, very nervous, actually, because everyone has to operate remotely on we are. We are dealing with the customer data. It's ah, it's very, very important that we have a secure environment to access the information and at the same time maintain the integrity of the data and also the quality off the plate. Those other two primary objective for us. We don't want to compromise on quality. We don't want to compromise on security from a cloud perspective. So the solution we have put in really, I just give you one example there was on the airline Ah, UK based the airline industry airline company which they need that workforce overnight. They want everybody to go remote because you know you cape on. They just put up condition that nobody can work from the office overnight and then terror ports as toe work from home purchases, implement the solution for them on our clothes overnight and make that 1000 employees store from home the next day morning. All of them started working with full quality of services and also with a full security aspect of it, has been taken care ornate on the solution. We are deployed. Very interesting case study on The important thing we have done is use the technology to the port. Use all kinds of technology to make sure that the employees that work from home we took care of the network connectivity. We took our eye off the security aspects off the data from security aspects. We've implemented all the security functions from really APIs. But people, Children stop perspective. Andi, make the workforce enable that. But now you are talking about millions off millions of workers going to work from home. Right? Because it is one example for one company we have done that now the easiest themselves has got more than 400 1000 employees. And we are talking about millions off our pores, going to work from home on going forward. So that is I'm seeing this as a big opportunity. It's not that everybody has are just this at this point in time, I'm seeing this as an opportunity where on the cloud easiest cloud kind off. The solution is going to help them to achieve this. And this is a great opportunity for not only for PCs, but also for HP because the solution we're putting together with the HP is more on the digital or course how we can enable the people to work from home, not compromising on as I mentioned from a security you're in from millions perspective. So I'm seeing this as an opportunity for both the organization, and it's a long way to go is we need to work on this. It's not. We don't have a magic want to make the millions off workers to work from home, but it is going to have all soon and probably in the next step. Yeah, so we may achieve this, impair people off. The workforce is going to go remotely on this list. So that's that. And my take on this >>is so the impact that HP and TCS Herb being able to make for customers who have had to massively transform their entire workforce overnight, as he said, to work from home to talk about some of the new maybe new solutions or new business opportunities that HPC is partnering with TCS shells, we'll start with you in this new era, >>Yeah, so if you look at it, I just taking it again on extension off of the projects. What he just mentioned about the percentage of employees going remote Lisa across industries today. I would say less than 20% of the employees are actually working remote or they have the ability. But the organizations have the ability to support the employees going, and if you have to take it to 50% so you can look at the kind of opportunity we have both as HP and as PCs. So we bring in a lot of best in breed infrastructure from for enabling the employee workforce to know where it is. I would say capacity off workloads and it's all workload specific. And what business does this or when people Pretty easy as we kind of bundle that creating a reference architecture or a giant architect picture addressing the customers by industry word. So because one what suits for one vertical may not be really suiting well for a different world, right? For example, if you take a banking sector are playing, a workstation solution would look very different from somebody's doing remote work in retail, so we kind of continuously engage with the PCs, and that's where both of us have joint lab as well, where our technologies and pieces technologies come together, working on joint solutions and assisting the market in terms of the opportunity lights. And we offer this as part of A C is our digital workplace offerings. >>Are your conversations Dr Additional go to you or your conversations when you're jointly selling, changing in terms of who your audience is? Is this now a C level conversation? Since these leaders and we've heard leaders of Google and Facebook already last month saying Work from home extended still 2021. Is this now at the C suite level, where you guys are helping them really understand how to completely change and digitize their entire way of doing business? >>Absolutely. I think it's a great question, and it's actually the opportunity goes beyond the work from home solution. As you rightly I want to know that it is. It is all about digitization. It is all about digitizing their whole business process. It is not anymore infrastructure. Our application solution. It is more about really finding that business process be defending. The way the business is going to operate in future is the discussion we are having so a lot of these discussions are happening at a very, very high level and with the business team also directly so earlier, you used to interact with the technology partners off our organization. But now we are interacting directly with the head of business are the C level except of the company. And that is the reason the exact reason is Ah, you. If you want your ports to be productive remotely, you can't just offer them on network on. You can't offer them just a solution to work from home. But you need to really find your whole business process you need. You need to digitize your infrastructure. You need to digitize your application. You need to rethink your whole process off. You're operating on it, so that's what I'm seeing. It's not only an opportunity for our players like a business cloud, but it is the opportunity for a bigger opportunity for PCs. And it should be not only in terms off on infrastructure in our cloud business, it goes beyond that. So that is that is the kind of an opportunity we're seeing, especially in the in the sectors of healthcare you're seeing major reforms are happening in the healthcare industry as we speak, and obviously manufacturing is going to go through a lot of changes. Also from that. And retail obviously has gone through a lot of changes already in terms of online, uh, stuff, but know that also going to go through changes in this new era? Yes, >>I have to ask you shelled, talking about redefining? That's a word that we've seen so many years in a row at tech conferences, right, this technology redefining this business or that industry. And now, of course, we're being redefined by an invisible virus. But how? How is the sales process being redefined? Is it a lot more accelerated because businesses have to put together new plans to continue operations? >>Yeah, again, a great question. Is this how you have? You know, I would say it's divided by industry body. It's not a uniform thing by, as not British was saying, every industry has got its own, its own set of challenges and its own set of opportunities, and some of them are really actually doing well even in times like and some of them have seen, Really. I mean, like, travel our transportation or you know some of those industries are, and even hospitality that's kind of affected big time. So our view of you know, the entire sales engagement of the processes we're spending more time on there. We really need to focus and which can help improve the businesses. Right? So the conversation's ready from How do I take the cost out in terms of how can I make a little more investment to get greater returns from the business? So it's like it's completely, I would say, an interesting pain and engaging compositions and decisions are happening. So we, if you look at us from an automatic perspective, the Internet to the sales team is armed with various virtual tools like we know you zoom views Skype using SMS teens. So all the tools available to make sure that we're able to connect with all our partners and customers on do enable joint business together. >>I just want oh, I add to it, Lisa, 111 point. I want bad, Really interesting change I'm seeing on the sales is normally we respond to it. I asked from a customer that is a sales happens. I want this many days. Do it and then what you can do with a solution that is a normal sales process. What I have seen that has changed completely. Yes, we go and tell the customer, Is this what you need Actually, to make you yourself your business? Better? This is the new offerings I'm having good. And this offering is going to help you to solve the problem what you are having today. So we are engaging a different level off sales conversation today with our customers. We know the problem of the customer because we are working with them for many years and we know exactly what they're going through. And we also know what new offerings we are having in this. So we are engaging the discussion with the customer doing that. This is my new offering. This is going to help you to solve this problem. But that is a different angle of sales we have seen nowadays they spend on it. >>The last question shells to you. We started our interview today talking about the HP TCS relationship. You talked about how it's evolved. Last question. You talked to me about H B's strategy. How does it match TCS Alfa Cloud offering. >>Yeah, so again, a great question, Lisa, if you look at our strategy, is to accelerate the enterprises with it. Centric and cloud enable solutions which are workload up, optimized and delivered everything as a service. And whatever you heard from Dr Rogers through this entire conversation was about how do we give as a service model you gave an example of honor. You gave an example off, you know, going how optimizing workloads for video and getting employees to be able to be productive remotely and all of that kind of extremely resonate well with, you know, what we see is confined to price. Cloud offering is bringing to the table for the customer and the underlying platform. You know, we kind of elaborate extensively and closely with the easiest architecture. Seem to have the HP portfolio off. You know, the compute and storage portfolio integrated as part of their offering, and we go together to market, you know, and addressing and kind of an ask service model. 1,000,000,000. >>Excellent. Well, shells Dr. Rajesh, pleasure talking with you both today about what UCS and H e are doing together and some of the ways that you're really helping businesses move forward in these uncertain times, we appreciate your time. >>Thank you. Thank you for represents. Thanks. Thank >>you. Dr Rajesh. >>My guest. I'm Lisa Martin. You're watching the Cube's coverage of HP Discover 2020. The virtual experience. Thanks for watching. >>Yeah, yeah, yeah.

>>from around the globe. It's the Cube covering HP Discover virtual experience brought to you by HP. I'm stew minimum. And this is the Cube's coverage of HP Discover virtual experience rather than all getting together in one place. Life box, Vegas. We're getting people around the globe where they are digging into some of the partner discussions here. Happy to welcome to the program. Ricardo de Blasio. He is the chief revenue officer from Con Vault. Ricardo, Thanks so much for joining us. Great to see you. >>We lost you. Great to be here. >>Excellent. So, you know, obviously HP discover Conn Volt and B when you give us the latest on on the partner. >>Absolutely. Well, first of all, I would like to thank you H p e deal team, not only for this invitation, but for the great partnership that we have. Ah, since actually, many, many years. Well, things are going really, really well with HB. Ah, we're very happy with very proud. I mean, if I'm a chief revenue officer also, my idol said it all. You know, if I look at the performance is off our alliances in the last 18 months, um, as being a double digit row and in some quarter even a triple digit growth. So ah, our relationship engagement into the field are growing up on a weekly basis. And the amount of opportunity that we have in our forecasting in our pipeline with HB are growing more and more and more. And, um, I believe we found still a good thing. And young between ah Cos us being the leader off data protection in the market and in conjunction with one of the largest server infrastructure, um, service vendor, service provider like HP. You know, if you think about one of the the the the highest success that we had experience right now is is humble. True green A as a backup as a service, right? So so many angle our chip. It's working and we just feel we are crashing, really, that the people, the iceberg and the best is yet to come so super excited to be here, super excited for what's what's ahead of us. >>Alright, Ricardo, we'll last year and we've had the Cube at Kahn Volt go on for a couple of years. Ah, lot of discussion about the various consumption models, especially out you know, Cloud is fitting into things, whether it be a public cloud and backing up data or are, you know, SAS models. You know, obviously, Alex was the, you know, star of the show at combo go. Last year you mentioned the Green Lake offerings that you're doing with HP to give back up as a service. So bring us inside. You know what you're hearing from your customers? How they're managing these various cloud offering. >>Totally stupid. Well, um I mean, as you know, I mean the the adoption into cloud native APS or moving waters into, ah, cloud models. It is something that has been around for the last 10 years. Obviously, what the current situation is producing is a triggering event to really moving to a light speed, um, transformation and adoption off any type of cloud motors. And we believe that's up backup and data protection provider. Um, we are in the middle of it, experiencing a lot of benefits. I mean, at the end of the day, you know, if you look at our metallic offering, one of our blockbuster is backing up office 3 65 which is a cloud native app after that we got Salesforce or we've got service now and so on. Right before moving to more traditional and point out of management like that or ah, um, like mobile phone. But even if I look at, you know, from from an angle of our partnership with HP, But I see most off the grow and opportunity is being on the Green Lake platform. Um, a lot of the opportunity that we have in our pipe that have been built in the last six months, but I see a lot of potential to do business together. Um, 80% of them is with Green Lake. This always great legs in the middle. >>Excellent. Yeah. What? What do you hearing so much from customers, You know, with your you're the chief revenue officer. So is it Move from cap ex to op X. You know, bring us inside a little bit. The finance side. What you're hearing from customers is how they get ready. Obviously, with the global pandemic even more of a highlight on the cloud models, if I've done things right, I should be able to either, you know, scale up if needed, or if I need to dial things down for a little while. Hopefully, I haven't locked myself in tow some environment. So I love to hear a little bit more color on that piece of it. >>Absolutely. I believe you nail. It's do I mean ah, there's definitely an operational driver behind which he's Can I scale or down my data center without having the possibility to have people on the ground? And so how can I move into a virtual data center? Uh, what? I have computing storage networking that can follow my beach off. Uh, I o according to my business need and this d'etre angle in the current crisis, um, company often are not run, but CFO becomes more important. And, um, there's a huge ah, attention to us and, uh, and everything that can be moved from a perpetual into a credible and therefore cloud has a better fit for that. And, um, and then last but not least, is also, you know, the better integration that a lot of cloud models provide. You were the cloud native. That's right. I mean, um, and you run salesforce on Prem? Not really. Right. So how can you have Ah, a dashboard of different business application and operational applications that are better integrated with the cloud native. That's so the more you can offer your client I eat relates or metallic proponent Delta Cloud Native Services that he's a, um, naturally integrated with the parent cloud native app. So the more you're going to make their life easier. >>Excellent. Ricardo. You know, Con Volt works with many partners. What makes the HP partnership special? >>So I think you know what I said earlier. Definitely. I would say the first thing. These, um a market segmentation, overs and the price. We are experiencing a lot of success with our enterprise clients. You know, if I look at the joint pipeline that we built together, I would say 90% of the lines are global 2000 customers logo. And so that is everyone. Number number two. You know how much work with it collectively in integrating our product line and platform together. So if you look into the humble complete solution and very soon also mentality, but even that big that has been done a lot of effort on that side, they are natively integrated with open a P I so that our clients really will not feel the difference off having two different salad silos solution and and then last but not least, the same strategic goal and view off pushing our cloud based Motorola radical modeler Green Lake for H p e and metallic and a big for mobile. >>Excellent. So you mentioned you know, some of the shifting models to some some of the newer solutions. You know, obviously, you know, integrations partnership a little bit of time, but give us a little bit. What should we be expecting from, you know, calm bolt in the partnership with HP through the rest of 2020. >>Absolutely. Still. Well, um, definitely an acceleration. You know, we put the decision a combo too. Ah, focus on fewer partners are very relevant to us. We're very happy to say that Hve is one of them. And, um, we want to do more from a product integration perspective. So the next one in line with the metallic and how the metallic play and integration will play into green legs and into a lot of HB product. Um, but also, we want to do more with our field engagement. Right? So now we have weekly or monthly orderly. Ah, weekly engagement with our with our two fields organization. Ah, just in order to better serve our clients and often do business with the same channel partners that we have in our ecosystem. >>Excellent. Well, Ricardo, thank you so much for joining us. We really pleasure. >>Thank you. Thank you, Stew. And thank you, HP, for the great partnership opportunity. >>All right, Lots more coverage from the cube. HP discover virtual experience. I'm Stew Minimum. And thank you for watching the Cube. Yeah, yeah, yeah, yeah, yeah.