>> From Boston, Massachusets, it's The Cube. Covering Actifio 2019: Data Driven, Brought to you by Actifio. >> Welcome back to Boston, everybody. We're here at the Intercontinental Hotel at Actifio's Data Driven conference, day one. You're watching The Cube. The leader in on-the-ground tech coverage. My name is is Dave Valante, Stu Minamin is here, so is John Ferrer, my friend Frank Gens is here, he's the Senior Vice President and Chief Analyst at IDC and Head Dot Connector. Frank, welcome to The Cube. >> Well thank you Dave. >> First time. >> First time. >> Newbie. >> Yep. >> You're going to crush it, I know. >> Be gentle. >> You know, you're awesome, I've watched you over the many years, of course, you know, you seem to get competitive, and it's like who gets the best rating? Frank always had the best ratings at the Directions conference. He's blushing but I could- >> I don't know if that's true but I'll accept it. >> I could never beat him, no matter how hard I tried. But you are a phenomenal speaker, you gave a great conversation this morning. I'm sure you drew a lot from your Directions talk, but every year you lay down this, you know, sort of, mini manifesto. You describe it as, you connect the dots, IDC, thousands of analysts. And it's your job to say okay, what does this all mean? Not in the micro, let's up-level a little bit. So, what's happening? You talked today, You know you gave your version of the wave slides. So, where are we in the waves? We are exiting the experimentation phase, and coming in to a new phase that multiplied innovation. I saw AI on there, block-chain, some other technologies. Where are we today? >> Yeah, well I think having mental models of the6 industry or any complex system is pretty important. I mean I've made a career dumbing-down a complex industry into something simple enough that I can understand, so we've done it again now with what we call the third platform. So, ten years ago seeing the whole raft of new technologies at the time were coming in that would become the foundation for the next thirty years of tech, so, that's an old story now. Cloud, mobile, social, big data, obviously IOT technologies coming in, block-chain, and so forth. So we call this general era the third platform, but we noticed a few years ago, well, we're at the threshold of kind of a major scale-up of innovation in this third platform that's very different from the last ten or twelve years, which we called the experimentation stage. Where people were using this stuff, using the cloud, using mobile, big data, to create cool things, but they were doing it in kind of a isolated way. Kind of the traditional, well I'm going to invent something and I may have a few friends help me, whereas, the promise of the cloud has been , well, if you have a lot of developers out on the cloud, that form a community, an ecosystem, think of GitHub, you know, any of the big code repositories, or the ability to have shared service as often Amazon, Cloud, or IBM, or Google, or Microsoft, the promise is there to actually bring to life what Bill Joy said, you know, in the nineties. Which was no matter how smart you are, most of the smart people in the world work for someone else. So the questions always been, well, how do I tap into all those other smart people who don't work for me? So we can feel that where we are in the industry right now is the business model of multiplied innovation or if you prefer, a network of collaborative innovation, being able to build something interesting quickly, using a lot of innovation from other people, and then adding your special sauce. But that's going to take the scale of innovation just up a couple of orders of magnitude. And the pace, of course, that goes with that, is people are innovating much more rapid clip now. So really, the full promise of a cloud-native innovation model, so we kind of feel like we're right here, which means there's lots of big changes around the technologies, around kind of the world of developers and apps, AI is changing, and of course, the industry structure itself. You know the power positions, you know, a lot of vendors have spent a lot of energy trying to protect the power positions of the last thirty years. >> Yeah so we're getting into some of that. So, but you know, everybody talks about digital transformation, and they kind of roll their eyes, like it's a big buzzword, but it's real. It's dataware at a data-driven conference. And data, you know, being at the heart of businesses means that you're seeing businesses transition industries, or traverse industries, you know, Amazon getting into groceries, Apple getting into content, Amazon as well, etcetera, etcetera, etcetera, so, my question is, what's a tech company? I mean, you know, Bennyhoff says that, you know, every company's a sass company, and you're certainly seeing that, and it's got to be great for your business. >> Yeah, yeah absolutely >> Quantifying all those markets, but I mean, the market that you quantify is just it's every company now. Banks, insurance companies, grocers, you know? Everybody is a tech company. >> I think, yeah, that's a hundred percent right. It is that this is the biggest revolution in the economy, you know, for many many decades. Or you might say centuries even. Is yeah, whoever put it, was it Mark Andreson or whoever used to talk about software leading the world, we're in the middle of that. Only, software now is being delivered in the form of digital or cloud services so, you know, every company is a tech company. And of course it really raises the question, well what are tech companies? You know, they need to kind of think back about where does our value add? But it is great. It's when we look at the world of clouds, one of the first things we observed in 2007, 2008 was, well, clouds wasn't just about S3 storage clouds, or salesforce.com's softwares and service. It's a model that can be applied to any industry, any company, any offering. And of course we've seen all these startups whether it's Uber or Netflix or whoever it is, basically digital innovation in every single industry, transforming that industry. So, to me that's the exciting part is if that model of transforming industries through the use of software, through digital technology. In that kind of experimentation stage it was mainly a startup story. All those unicorns. To me the multiplied innovation chapter, it's about- (audio cuts out) finally, you know, the cities, the Procter & Gambles, the Walmarts, the John Deere's, they're finally saying hey, this cloud platform and digital innovation, if we can do that in our industry. >> Yeah, so intrapreneurship is actually, you know, starting to- >> Yeah. >> So you and I have seen a lot of psychos, we watched the you know, the mainframe wave get crushed by the micro-processor based revolution, IDC at the time spent a lot of time looking at that. >> Vacuum tubes. >> Water coolant is back. So but the industry has marched to the cadence of Moore's Law forever. Even Thomas Friedman when he talks about, you know, his stuff and he throws in Moore's Law. But no longer Moore's Law the sort of engine of innovation. There's other factors. So what's the innovation cocktail looking forward over the next ten years? You've talked about cloud, you know, we've talked about AI, what's that, you know, sandwich, the innovation sandwich look like? >> Yeah so to me I think it is the harnessing of all this flood of technologies, again, that are mainly coming off the cloud, and that parade is not stopping. Quantum, you know, lots of other technologies are coming down the pipe. But to me, you know, it is the mixture of number one the cloud, public cloud stacks being able to travel anywhere in the world. So take the cloud on the road. So it's even, I would say, not even just scale, I think of, that's almost like a mount of compute power. Which could happen inside multiple hyperscale data centers. I'm also thinking about scale in terms of the horizontal. >> Bringing that model anywhere. >> Take me out to the edge. >> Wherever your data lives. >> Take me to a Carnival cruise ship, you know, take me to, you know, an apple-powered autonomous car, or take me to a hospital or a retail store. So the public cloud stacks where all the innovation is basically happening in the industry. Jail-breaking that out so it can come, you know it's through Amazon, AWS Outpost, or Ajerstack, or Google Anthos, this movement of the cloud guys, to say we'll take public cloud innovation wherever you need it. That to me is a big part of the cocktail because that's you know, basically the public clouds have been the epicenter of most tech innovation the last three or four years, so, that's very important. I think, you know just quickly, the other piece of the puzzle is the revolution that's happening in the modularity of apps. So the micro services revolution. So, the building of new apps and the refactoring of old apps using containers, using servos technologies, you know, API lifecycle management technologies, and of course, agile development methods. Kind of getting to this kind of iterative sped up deployment model, where people might've deployed new code four times a year, they're now deploying it four times a minute. >> Yeah right. >> So to me that's- and kind of aligned with that is what I was mentioning before, that if you can apply that, kind of, rapid scale, massive volume innovation model and bring others into the party, so now you're part of a cloud-connected community of innovators. And again, that could be around a Github, or could be around a Google or Amazon, or it could be around, you know, Walmart. In a retail world. Or an Amazon in retail. Or it could be around a Proctor & Gamble, or around a Disney, digital entertainment, you know, where they're creating ecosystems of innovators, and so to me, bringing people, you know, so it's not just these technologies that enable rapid, high-volume modular innovation, but it's saying okay now plugging lots of people's brains together is just going to, I think that, here's the- >> And all the data that throws off obviously. >> Throws a ton of data, but, to me the number we use it kind of is the punchline for, well where does multiplied innovation lead? A distributed cloud, this revolution in distributing modular massive scale development, that we think the next five years, we'll see as many new apps developed and deploye6d as we saw developed and deployed in the last forty years. So five years, the next five years, versus the last forty years, and so to me that's, that is the revolution. Because, you know, when that happens that means we're going to start seeing that long tail of used cases that people could never get to, you know, all the highly verticalized used cases are going to be filled, you know we're going to finally a lot of white space has been white for decades, is going to start getting a lot of cool colors and a lot of solutions delivered to them. >> Let's talk about some of the macro stuff, I don't know the exact numbers, but it's probably three trillion, maybe it's four trillion now, big market. You talked today about the market's going two x GDP. >> Yeah. >> For the tech market, that is. Why is it that the tech market is able to grow at a rate faster than GDP? And is there a relationship between GDP and tech growth? >> Yeah, well, I think, we are still, while, you know, we've been in tech, talk about those apps developed the last forty years, we've both been there, so- >> And that includes the iPhone apps, too, so that's actually a pretty impressive number when you think about the last ten years being included in that number. >> Absolutely, but if you think about it, we are still kind of teenagers when you think about that Andreson idea of software eating the world. You know, we're just kind of on the early appetizer, you know, the sorbet is coming to clear our palates before we go to the next course. But we're not even close to the main course. And so I think when you look at the kind of, the percentage of companies and industry process that is digital, that has been highly digitized. We're still early days, so to me, I think that's why. That the kind of the steady state of how much of an industry is kind of process and data flow is based on software. I'll just make up a number, you know, we may be a third of the way to whatever the steady state is. We've got two-thirds of the way to go. So to me, that supports growth of IT investment rising at double the rate of overall. Because it's sucking in and absorbing and transforming big pieces of the existing economy, >> So given the size of the market, given that all companies are tech companies. What are your thoughts on the narrative right now? You're hearing a lot of pressure from, you know, public policy to break up big tech. And we saw, you know you and I were there when Microsoft, and I would argue, they were, you know, breaking the law. Okay, the Department of Justice did the right thing, and they put handcuffs on them. >> Yeah. >> But they never really, you know, went after the whole breakup scenario, and you hear a lot of that, a lot of the vitriol. Do you think that makes sense? To break up big tech and what would the result be? >> You don't think I'm going to step on those land mines, do you? >> Okay well I've got an opinion. >> Alright I'll give you mine then. Alright, since- >> I mean, I'll lay it out there, I just think if you break up big tech the little techs are going to get bigger. It's going to be like AT&T all over again. The other thing I would add is if you want to go after China for, you know, IP theft, okay fine, but why would you attack the AI leaders? Now, if they're breaking the law, that should not be allowed. I'm not for you know, monopolistic, you know, illegal behavior. What are your thoughts? >> Alright, you've convinced me to answer this question. >> We're having a conversation- >> Nothing like a little competitive juice going. You're totally wrong. >> Lay it out for me. >> No, I think, but this has been a recurring pattern, as you were saying, it even goes back further to you know, AT&T and people wanting to connect other people to the chiraphone, and it goes IBM mainframes, opening up to peripherals. Right, it goes back to it. Exactly. It goes back to the wheel. But it's yeah, to me it's a valid question to ask. And I think, you know, part of the story I was telling, that multiplied innovation story, and Bill Joy, Joy's Law is really about platform. Right? And so when you get aggregated portfolio of technical capabilities that allow innovation to happen. Right, so the great thing is, you know, you typically see concentration, consolidation around those platforms. But of course they give life to a lot of competition and growth on top of them. So that to me is the, that's the conundrum, because if you attack the platform, you may send us back into this kind of disaggregated, less creative- so that's the art, is to take the scalpel and figure out well, where are the appropriate boundaries for, you know, putting those walls, where if you're in this part of the industry, you can't be in this. So, to me I think one, at least reasonable way to think about it is, so for example, if you are a major cloud platform player, right, you're providing all of the AI services, the cloud services, the compute services, the block-chain services, that a lot of the sass world is using. That, somebody could argue, well, if you get too strong in the sass world, you then could be in a position to give yourself favorable position from the platform. Because everyone in the sass world is depending on the platform. So somebody might say you can't be in. You know, if you're in the sass position you'll have to separate that from the platform business. But I think to me, so that's a logical way to do it, but I think you also have to ask, well, are people actually abusing? Right, so I- >> I think it's a really good question. >> I don't think it's fair to just say well, theoretically it could be abused. If the abuse is not happening, I don't think you, it's appropriate to prophylactically, it's like go after a crime before it's committed. So I think, the other thing that is happening is, often these monopolies or power positions have been about economic power, pricing power, I think there's another dynamic happening because consumer date, people's data, the Facebook phenomenon, the Twitter and the rest, there's a lot of stuff that's not necessarily about pricing, but that's about kind of social norms and privacy that I think are at work and that we haven't really seen as big a factor, I mean obviously we've had privacy regulation is Europe with GDPR and the rest, obviously in check, but part of that's because of the social platforms, so that's another vector that is coming in. >> Well, you would like to see the government actually say okay, this is the framework, or this is what we think the law should be. I mean, part of it is okay, Facebook they have incentive to appropriate our data and they get, okay, and maybe they're not taking enough responsibility for. But I to date have not seen the evidence as we did with, you know, Microsoft wiping out, you know, Lotus, and Novel, and Word Perfect through bundling and what it did to Netscape with bundling the browser and the price practices that- I don't see that, today, maybe I'm just missing it, but- >> Yeah I think that's going to be all around, you know, online advertising, and all that, to me that's kind of the market- >> Yeah, so Google, some of the Google stuff, that's probably legit, and that's fine, they should stop that. >> But to me the bigger issue is more around privacy.6 You know, it's a social norm, it's societal, it's not an economic factor I think around Facebook and the social platforms, and I think, I don't know what the right answer is, but I think certainly government it's legitimate for those questions to be asked. >> Well maybe GDPR becomes that framework, so, they're trying to give us the hook but, I'm having too much fun. So we're going to- I don't know how closely you follow Facebook, I mean they're obviously big tech, so Facebook has this whole crypto-play, seems like they're using it for driving an ecosystem and making money. As opposed to dealing with the privacy issue. I'd like to see more on the latter than the former, perhaps, but, any thoughts on Facebook and what's going on there with their crypto-play? >> Yeah I don't study them all that much so, I am fascinated when Mark Zuckerberg was saying well now our key business now is about privacy, which I find interesting. It doesn't feel that way necessarily, as a consumer and an observer, but- >> Well you're on Facebook, I'm on Facebook, >> Yeah yeah. >> Okay so how about big IPOs, we're in the tenth year now of this huge, you know, tail-wind for tech. Obviously you have guys like Uber, Lyft going IPO,6 losing tons of money. Stocks actually haven't done that well which is kind of interesting. You saw Zoom, you know, go public, doing very well. Slack is about to go public. So there's really a rush to IPO. Your thoughts on that? Is this sustainable? Or are we kind of coming to the end here? >> Yeah so, I think in part, you know, predicting the stock market waves is a very tough thing to do, but I think one kind of secular trend is going to be relevant for these tech IPOs is what I was mentioning earlier, is that we've now had a ten, twelve year run of basically startups coming in and reinventing industries while the incumbents in the industries are basically sitting on their hands, or sleeping. So to me the next ten years, those startups are going to, not that, I mean we've seen that large companies waking up doesn't necessarily always lead to success but it feels to me like it's going to be a more competitive environment for all those startups Because the incumbents, not all of them, and maybe not even most of them, but some decent portion of them are going to wind up becoming digital giants in their own industry. So to me I think that's a different world the next ten years than the last ten. I do think one important thing, and I think around acquisitions MNA, and we saw it just the last few weeks with Google Looker and we saw Tab Low with Salesforce, is if that, the mega-cloud world of Microsoft, Ajer, and Amazon, Google. That world is clearly consolidating. There's room for three or four global players and that game is almost over. But there's another power position on top of that, which is around where did all the app, business app guys, all the suite guys, SAP, Oracle, Salesforce, Adobe, Microsoft, you name it. Where did they go? And so we see, we think- >> Service Now, now kind of getting big. >> Absolutely, so we're entering a intensive period, and I think again, the Tab Low and Looker is just an example where those companies are all stepping on the gas to become better platforms. So apps as platforms, or app portfolio as platforms, so, much more of a data play, analytics play, buying other pieces of the app portfolio, that they may not have. And basically scaling up to become the business process platforms and ecosystems there. So I think we are just at the beginning of that, so look for a lot of sass companies. >> And I wonder if Amazon could become a platform for developers to actually disrupt those traditional sass guys. It's not obvious to me how those guys get disrupted, and I'm thinking, everybody says oh is Amazon going to get into the app space? Maybe some day if they happen to do a cam expans6ion, But it seems to me that they become a platform fo6r new apps you know, your apps explosion.6 At the edge, obviously, you know, local. >> Well there's no question. I think those appcentric apps is what I'd call that competition up there and versus kind of a mega cloud. There's no question the mega cloud guys. They've already started launching like call center, contact center software, they're creeping up into that world of business apps so I don't think they're going to stop and so I think that that is a reasonable place to look is will they just start trying to create and effect suites and platforms around sass of their own. >> Startups, ecosystems like you were saying. Alright, I got to give you some rapid fire questions here, so, when do you think, or do you think, no, I'm going to say when you think, that owning and driving your own car will become the exception, rather than the norm? Buy into the autonomous vehicles hype? Or- >> I think, to me, that's a ten-year type of horizon. >> Okay, ten plus, alright. When will machines be able to make better diagnosis than than doctors? >> Well, you could argue that in some fields we're almost there, or we're there. So it's all about the scope of issue, right? So if it's reading a radiology, you know, film or image, to look for something right there, we're almost there. But for complex cancers or whatever that's going to take- >> One more dot connecting question. >> Yeah yeah. >> So do you think large retail stores will essentially disappear? >> Oh boy that's a- they certainly won't disappear, but I think they can so witness Apple and Amazon even trying to come in, so it feels that the mix is certainly shifting, right? So it feels to me that the model of retail presence, I think that will still be important. Touch, feel, look, socialize. But it feels like the days of, you know, ten thousand or five thousand store chains, it feels like that's declining in a big way. >> How about big banks? You think they'll lose control of the payment systems? >> I think they're already starting to, yeah, so, I would say that is, and they're trying to get in to compete, so I think that is on its way, no question. I think that horse is out of the barn. >> So cloud, AI, new apps, new innovation cocktails, software eating the world, everybody is a tech company. Frank Gens, great to have you. >> Dave, always great to see you. >> Alright, keep it right there buddy. You're watching The Cube, from Actifio: Data Driven nineteen. We'll be right back right after this short break. (bouncy electronic music)

(upbeat music) >> Welcome to this special CUBEConversation here in the Palo Alto CUBE studio. I'm John Furrier, the co-host, theCUBE co-founder of SiliconANGLE Media. In theCUBE we're here with Alan Cohen, CUBE alumni, joining us today for a special segment on the future of technology and the impact to society. Always good to get Alan's commentary, he's the Chief Commercial Officer for Illumio, industry veteran, has been through many waves of innovation and now more than ever, this next wave of technology and the democratization of the global world is upon us. We're seeing signals out there like cryptocurrency and blockchain and bitcoin to the disruption of industries from media and entertainment, biotech among others. Technology is not just a corner industry, it's now pervasive and it's having some significant impacts and you're seeing that in the news whether it's Facebook trying to figure out who they are from a data standpoint to across the board every company. Alan, great to see you. >> Always great to be here, I always feel like, I can't tell whether I'm at the big desk at ESPN or I've got the desk chair at CNBC, but that's what it's like being on theCUBE. >> Great to have you on extracting the signal noises, a ton of noise out there, but one of things of the most important stories that we're tracking is, that's becoming very obvious, and you're seeing it everywhere from Meed to all aspects of technology. Is the impact of technology to people in society, okay you're seeing the election, we all know what that is, that's now a front and center in the big global conversation, the Russian's role of hacking, the weaponizing of data, Facebook's taking huge brand hits on that, to emerging startups, and the startup game that we're used to in Silicon Valley is changing. Just the dynamics, I mean cryptocurrency raises billions of dollars but yet (laughs) something like 10, 20% of it's been hacked and stolen. It's a really wild west kind of environment. >> Well it's a very different environment. John, you and I have been in the technology industry certainly for a whole bunch of lines under our eyes over the years have gone there. My friend Tom Friedman has this phrase that he says, "Everybody's connected and nobody's in control," so the difference is that, as you just said, the tech industry is not a separate industry. The tech industry is in every product and service. Cryptocurrency is like, the concept of that money is just code. You know, our products and services are just code, it raises a couple of really core issues. Like for us on the security point of view, if I don't trust people with the products they're selling me, that I feel like they're going to be hacked, including my personal data, so your product now includes my personal information, that's a real problem because that could actually melt down commerce in a real way. Obviously the election is if I don't trust the social systems around it, so I think we're all at an, and I'd like to say world is still kind of like iRobot moment, and if you remember iRobot, it's like, people build all these robots to serve humankind and then one day the robots wake up and they go, "We have our own point of view on how things are going to work" and they take over, and I think whether it's the debate about AI, whether cryptocurrency's good or bad, or more importantly, the products and services I use, which are now all digitally connected to me, whether I trust them or not is an issue that I think everyone in our industry has to take a step back because without that trust, a lot of these systems are going to stop growing. >> Chaos is an opportunity, I think that's been quoted many times, a variety-- >> You sound like Jeff Goldblum in like Jurassic Park, yeah. (laughing) >> So chaos is upon us, but this is an opportunity. The winds are shifting, and that's an opportunity for entrepreneurs. The technology industry has to start working for us but we've got to be mindful of these blind spots and the blind spots are technology for good not necessarily just for profits, so that also is a big story right now. We see things like AI for good, Intel has been doing a lot of work on that area, and you see stars dedicated to societal impact, then young millennials, you see the demographic shift where they want to work on stuff that empowers people and changes society so a whole kind of new generation revolution and kind of hippie moment, if you look at the 60s, what the 60s were, right? >> Well there's people out in the street protesting, right? There were a couple of million women out in the street this weekend, so we are in that kind of moment again, people are not happy with things. >> And I believe this is a signal of a renaissance, a change, a sea change at enormous levels, so I want to get your thoughts on this. As technology goes out in mainstream, certainly from a security standpoint, your business Illumio is in that now where there's not a lot of control, just like you were mentioning before we came on that all the spends happening but no one has more than 4% market share. These are dynamics and this is not just within one vertical. What's your take on this, how do you view this sea change that's upon us, this tech revolution? >> Well, you know, think about it. You and I grew up in the era where clients server took over from main frame, right? So remember there was this big company called IBM and they owned a lot of the industry, and then it blew up for client server and then there were thousands of companies and it consolidated its way down, but when those thousands of new companies, like you didn't know what was going to be Apollo and what was going to be Oracle right? Like you didn't know how that was going to work out, there was a lot of change and a lot of uncertainty. I think now we're seeing this on a scale like that's 10x of this that there's so much innovation and there's so much connectedness going on very rapidly, but no one is in control. In the security market, you know, what's happening in our world is like, people said, okay I have to reestablish control over my data, I've lost that control, and I've lost it for good reasons, meaning I've evolved to the cloud, I've evolved to the app economy, I've done all of these things, and I've lost it for bad reasons because like am I, like I'm not really running my data center the way I should. We're in the beginning of a move in of people kind of reasserting that control, but it's very hard to put the genie back in the bottle because the world itself is so much more dynamic and more distributed. >> It's interesting, I've been studying communities and online communities for over a decade in terms of dynamics. You know, from the infrastructural level, how packets move to a human interaction. It's interesting, you mentioned that we're all connected and no one's in control, but you now see a ground swell of organic self-forming networks where communities are starting to work together. You kind of think about the analog world when we grew up without computers and networks, you kind of knew everyone, you knew your neighbor, you knew who the town loony was, you kind of knew things and people watch each other's kids and parents sat from the porch, let the kid play, that's the way that I grew up, but it was still chaotic but yet somewhat controlled by the group. So I got to ask you, when you see things like cryptocurrency, things like KYC, know your customer, anti money laundering, which is, you know these are policy based things, but we're in a world now where, you know, people don't know who their neighbors are. You're starting to see a dynamic where people are-- >> Put the phone down. >> Asserting themselves to know their neighbor, to know their customer, to have a connected tissue with context and so your trust and reputation become super important. >> Well I think people are really, so like every time there is a shift in technology, there's scary stuff. There's the fuddy-duddy moment where people are saying, "Oh we can't use that," or "I don't know that," and you know, clearly we're in this kind of new kam-ree and explosion of this cloud mobile blah blah blah type of computing thing and ... Blah blah blah is always a good intersection when you don't have a term. Then things form around it, and just as you said, so if you think about 25 years ago, right, people created The WELL and there was community writing first bulletin boards and like now we have Facebook and you go through a couple of generations and for a while, things feel out of control and then it reforms. I personally am an optimist. Ultimately I believe in the inherent goodness of people, but inherent goodness leaves you open and then, you know, could be manipulated, and people figure these things out. Whether it's cryptocurrency or AI, they are really exciting technologies that don't have any ground rules, right? What's going to happen I believe is that people are going to reestablish ground rules, they're going to figure out some of the core issues, and some of these things may make it, and some of these things may not make it. Like cryptocurrency, like I don't know whether it makes it or not, but certainly the blockchain as a technology we're going to be incorporating in what we do, and maybe the blockchain replaces VPNs and last generation's way of protecting zeros and ones. If AI is figuring out how to read an MRI in five minutes, it's a good thing, and if the AI is teaching you how to exclude old folks for me finding jobs, it's a bad thing. I think as technology forms, there's always Spectre and 007, right? There's always good and bad sides and you know, I think if you believe-- >> I'm with you on that. I think value shifts and I think ultimately it's like however you want to look at it will shift to something, value activity will be somewhere else. Behind me in the bookshelf is a book called The World is Flat and you're quoted in it a lot as a futurist because you have inherently that kind of view, well that's not what you do for a living, but you're kind of in an opt-- >> Alan: Marketing, futurist, kind of same thing. >> Thomas Friedman, the book, that was a great book and at that time, it was game changing. If you take that premise into today where we are living in a flat world and look at cryptocurrency, and then over with the geo political landscape, I mean I just can't see why the Federal Reserve wouldn't reign in this cryptocurrency because if Japan's going to control a bunch of, or China, it's going to be some interesting conversations. I mean I would be like all over that if I was in the Federal Reserve. >> I think people-- Look, cryptocurrency's really interesting and I think people a little over-rotated. If you look at the amount of GDP that's invested in cryptocurrency, it's like, I don't know, there might've been, you know 20 years ago the same amount involved invested in Beanie Babies, right? I mean things show up for a while and the question is is it sustainable over time? Now I'm trained as an economist, you and I have had this conversation, so I don't know how you have a series of monetary without kind of governmental backing, I just don't understand. But I do understand that people find all kinds of interesting ways to trade, and if it's an exchange, like I mean what's the difference between gold and cryptocurrency? Somebody has ascribed a value to something that really has no efficacy outside of its usage. Yeah I mean you can make a filling or bracelets out of gold but it doesn't really mean anything except people agree to a unit of value. If people do that with cryptocurrency, it does have the ability to become a real currency. >> I want to pick your perspective on this being an economist, this is is the hottest area of cryptocurrency, it's also known as token economics, is a concept. >> Alan: Token economics. >> You know that's an area that theCUBE, with CUBE coins, experimenting with tokens. Tokens technically are used for things in mobile and whatnot but having a token as a utility in a network is kind of the whole concept, so the big trend that we're seeing and no one's really talking about this yet is instead of having a CTO, Chief Technology Officer, they're looking for a CEO, a Chief Economist Officer, because what you're seeing with the MVP economy we're living in and this gamification which became growth hack which didn't really help users, the notion of decentralized applications and token economics can open the door for some innovation around value and it's an economic problem, how you have a fiscal policy of your token, there's a monetary policy, what's it tied to? A product and a technology, so you now have a now a new, twisted, intertwined mechanism. >> Well you have it as part of this explosion, right? We're at a period of time, it feels like there's a great amount of uncertainly because everything's, you know, there's a lot of different forces and not everybody's in control of them, and you know, it's interesting. Google has this architecture, they call it BeyondCorp, where the concept is like networks are not trusted so I will just put my trust in this device, Duo Security's a great example of a company that's built a technology, a security technology around it which is completely antithetical to everything we know about networks and security. They're saying everything's the internet, I'll just protect the device that it's on. It's a kind of perfect architecture for a world like where nobody is in charge, so just isolate those, buy this, what is a device? It's a token too, it's a person, your iPhone's your personal token. Then over time, systems will form around it. I think we just have to, we always have to learn how to function in a different type of economy. I mean democracy was a new economy 250 years ago that kind of screwed around with most of the world, and a lot of people didn't think it would make it, in fact we went through two World War wars that it was a little on the edge whether democracy was going to make it and it seems to have done okay, like it was pretty good IPO to buy into. You know, in 1776. But it's always got risks and struggles with it. I think if, ultimately it comes together, it's whether a large group of people can find a way to function socially, economically, and with their personal safety in these systems. >> You bring up a great point, so I want to go to the next level in this conversation which is around-- >> Alan: You've got the wrong guy if you're going to the next level because I just tapped out. >> No, no, no we'll get you there. It's my job to get you there. The question is that everyone always wants to look at, whether it's someone looking at the industry or actors inside the industries across the board, mainly the tech and we'll talk about tech, is the question of are we innovating? You brought up some interesting nuances that we talk about with token economics. I mean Steve Jobs had the classic presentation where he had street signs, technology meets liberal arts. That's a mental image that people who know Steve Jobs, know Apple, was a key positioning point for Apple at that time which was let's make computers and technology connect with society, liberal arts. But we were just talking about is the business impact of technology, the economics, and that's just not like just some hand waving, making technology integrate with business. You're in the security business, There are some gamification technology, gamification that's business built into the products. So the question is, if we have the integration of business, technology, economics, policy, society rolling into the product definitions of innovation, does that change the lens and the aperture of what innovation is? >> I think it does, right? The IT industry's somewhere between three and four trillion dollars depends on how it counts in. It grows pretty slowly, it grows by a low single digit. That tells me as composite, like is that, that slow growth is a structural signal about how consumers of technology think in a macro sense. On a micro sense, things shift very rapidly, right? New platforms show up, new applications show up, all kinds of things show up. What I don't think we have done yet, to your point, is in this new integrated world, the role of technology is not just technology anymore. I don't think, you know you said you need Chief Economical Officer, what about Chief Political Officer? What about a Chief Social Officer? How many heads of HR make decisions about the insertion of systems into their business? And that's what this kind of iRobot concept is in my mind which is that you know, we are exceeding control of things that used to be done by human beings to systems and when you see control, the social mores, the political mores, the cultural mores, and the human emotional mores have to move with it. We don't tend to think about things like that. We're like, "I win and my competitors lose." Like technology used to be much more of a zero sum, my tech's better than yours. But the question is not just is my tech better than yours, is my customer better off in their industry for the consumption of my technology of inserting it into their offering or their service? You know what, that is probably going to be the next area of study. The other thing that's very important in whether, any of you have read Peter Thiel's book Zero to One, the nature of competition technology used to feel like a flat playing field and now the other thing that's rising is do you have super winners? And then what is the power of the super winners? So you mentioned whether it's Facebook or Google or Amazon or you know, or Microsoft, the FANG companies right? Their roles are so much more significant now than the Four Horsemen of the Nasdaq were in 2000 when you had Intel and Cisco and Oracle and Saht-in it's a different game. >> You're seeing that now. That's a good point, so you're reinforcing kind of this notion that the super players if you will are having an impact, you're mentioning the confluence of these new sectors, you know, government, policy, social are new areas. The question is, this sounds like a strategic imperative for the industry, and we're early so it's not like there's a silver bullet or is there, it doesn't sound like there, so to me that's not really in place yet, I mean. >> Oh no. We're not even in alpha. We have demo code for the new economy and we're trying to get the new model funded. >> John: That's the demo version, not the real version. It's the classic joke. >> Yeah this not the alpha or the beta version that like you're going to go launch it. If people think they're launching it, I think it's a little preliminary and you know, it's not just financial investment, it's like do I buy in? I'll tell you something that's really interesting. I've been visiting a bunch of our customers lately and the biggest change I'd say in the last two years is they now have to prove to their customers they're going to be good custodians of their data. Think about that, like you could go to any digital commerce you do, any website you use and you give them basically the ticket to the Furrier family privacy, you do, but you don't spend a lot of time questioning whether they're really going to protect your data. That has changed. And it's really changing in B2B and in government organizations. >> The role of data to us is regulation, GDPR in Europe, but this is a whole new dynamic. >> It's not just my data because I'm worried about my credit card getting hacked, I'm worried about my identity. Like am I going to show up as a meme in some social media feed that's substituted for the news? I don't want to use the FN word, but you know what I mean? It is a really brave new world. It's like a hyper-democracy and a hyper-risky state at the same time. >> We're living in an area of massive pioneering, new grounds, this is new territory so there's a lot of strategic imperatives that are yet not defined. So now let's take it to how people compete. We were talking before we came on camera, you mentioned the word we're in an MVP economy, minimum viable product concept, and you're seeing that being a standard operating procedure for essentially de-risking this challenge. The old way of you know, build it, ship it, will it work? We're seeing the impact from Hollywood to big tech companies to every industry. >> Well you've got a coffee mug for a company that does both. Amazon does MVP in entertainment, like we'll create one pilot and see if it goes as opposed to ordering a season for 17 million dollars to hey, let's try this feature and put it out on AWS. What's interesting is I don't think we've completely tilted but the question is will buyers of technology, of entertainment products, of any product start to say, "I'll try it." You know like, look, I've done four startups and I always know there's somebody I can go to get and try my early product. There are people that just have an appetite, right? The Jeffrey Moores, early adapter, all the way to the left of the-- >> They'll buy anything new. >> They'll try it, they're interested, they have the time and the resources, or they're just intellectually curious. But it was always a very small group of people in the IT industry. What I think that the MVP economy is starting to do is look, I Kickstarted my wallet. I don't know if I'm the only person who bought that skinny little wallet on Kickstarter, it doesn't matter to me, it had appeal. >> What's the impact of the MVP economy? Is it going to change to the competitive landscape like Peter Thiel was suggesting? Does it change the economics? Does it change the makeup of the team? All of the above? What's your thoughts on how this is going to impact? Certainly the encumbrance will seem to be impacted or not. >> I think two things happen. One, it attacks the structural way markets work. If you go back to classical economics, land, labor, and capital, and people who own those assets, now you add information as a fourth. If those guys were around now they would say that would be the fourth core asset, production, I'm sorry, means of production is the term. The people who can dominate that would dominate a market. Now that that's flattened out, you know, I think it pushes against the traditional structures and it allows new giants to kind of show up overnight. I mean the e-commerce market is rife with companies that have, like look at Stich Fix. A company driven by AI, fashions, tries to figure out what you like, sends it to you every month, just had a monster IPO. We invented, by the way the Spiegal Catalog, except like with a personal assistant and you know, it's changed that in just a short number of years. I think two things happen. One is you'll get new potential giants but certainly new players in the market quickly. Two, it'll force a change in the business model of every company. If you're in a cab in any city in the world, I'm not saying whether the app works there or not, Uber and Lyft has forced every cab company to show you here's the app to call the cab. They haven't quite caught up to the rest of the experience. What I think happens is ultimately, the larger players in an industry have to accommodate that model. For people like me, people who build companies or large technology companies, we may have to start thinking about MVPing of features early on, working with a small group, which is a little what the beta process is but now think about it as a commercial process. Nobody does it, but I bet sure a lot of people will be doing it in five years. >> I want to get your take on that approach because you're talking about really disrupting, re-imagining industry, the Spiegal catalog now becomes digital with technology, so the role of technology in business, we kind of talked about the intertwine of that and its nuance, it's going to get better in my opinion. But specifically the IT, the information technology industry is being disrupted. Used to be like a department, and the IT department will give you your phone on your desk, your PC on your desk or whatever, now that's being shattered and everyone that's participating in that IT industry is evolving. What's your take on the IT industry's disruption? >> Well look, it started 20 years ago when Marc Benioff and Salesforce decided to sell the sales forces instead of IT people, right? They went around to the end buyer. I don't think it's a new trend, I think a lot of technology leaders now figure out how to go to the business buyer directly and make their pitch and interestingly enough, the business buyer, if the IT team doesn't get on board, will do that. >> John: Because of cloud computing and ... >> Because of everything. The modern analog I think in our world is that the developers are increasingly in control. Like my friend Martin Casado up in Andreessen talks about this a lot. The traditional model on our industry is you build a product, you launch it, you launch your company, you work with the traditional analyst firms, you try to get a little bit of halo, you get customer references, those are the things you do and there was a very wall structured, for example, enterprise buying cycle. >> And playbook. >> Playbook, and there's the challenger sale and there's Jeffrey Moore and there's like seeing God. You've got your textbooks on how it's been done. As everything turns into code, the people who work with code for a living increasingly become the front end of your cycle and if you can get to them, that changes. Like I mean think about like, you know, Tom wrote about this actually in The World is Flat, like Linux started as a patchy. It didn't start with the IT department, it started with developers and there was the Linux foundation and now Linux is everything. >> There's a big enemy called the big mini computer, and not operating systems and work stations. >> Wiped out whole parts of Boston and other parts of the world, right? >> Exactly, that's why I moved out here. >> You filed client's server out here. >> I filed a smell of innovation. No but this is interesting because this location of industries is happening, so with that, so they also on the analog, so Martin's at Andreessen, so we'll do a little VC poke there at the VCs because we love them of course, they're being dislocated-- >> I don't (mumbles) my investors. >> Well no, their playbook is being challenged. Here's an example, go big or go home investment thesis seems not to be working. Where if you get too much cash on the front end, with the MVP economy we were just riffing on and with the big super powers, the Amazons and the Googles, you can't just go big or go home, you're going to be going home more than going big. >> I think they know that. I mean Dee-nuh Suss-man who's I think Chief Investment Officer at Nasdaq has a very well known talking line that there are half as many public companies as there were 10 years ago, so the exit scenario for our industry is a little bit different. We now have things like acqui-hires, right we have other models for monetization, but I think what the flip side of it is, we're in the-- >> Adapt or die because the value will shift. Liquidity's changing, which acqui-hires-- >> I think the investment community gets it completely and they spend a lot more time with the developer mindset. In fact I think there's been a doubling down focus on technical founders versus business founders for companies for just that reason because as everything turns to code, you got to hang out with the code community. I think there are actually-- >> You think there'll be more doubling down on technical founders? You do, okay. >> Yeah I think because that is ultimately the shift. There are business model shifts, but it's, you know, I mean like Uber was a business model shift, I mean the technology was the iPhone and GPS and they wrote an app for it, but it was a business model shift, so it can be a business model shift. >> And then scale. >> And then scale and then all of those other things. But I think if you don't think about developers when you're in our, and it's like we built Illumio because a developer could take the product and get started. I mean you can, developers actually can write security policy with our product because there's a class of customers, where as not everyone where that matters. There's other people where the security team is in charge or the infrastructure team is in charge but I think everything is based on zeros and ones and everything is based on code and if you're not sensitive to how code gets bought, consumed, I mean there's a GitHub economy which is I don't even have to write the code, I'll go look at your code and maybe use pieces of it, which has always been around. >> Software disruption is clear. Cloud computing is scale. Agile is fast, and with de-risking capabilities, but the craft is coming back and some will argue, we've talked about on theCUBE before is that, you know, the craftsmanship of software is moving to up the stack in every industry, so-- >> I think it's more like a sports league. I love the NBA, right? In the old days, your professional team, you'd scout people in college. Now they used to scout them in high school, now they're scouting kids in middle school. >> (laughs) That's sad. >> Well what it says is that you have to-- >> How can you tell? >> You know but they can, right? I think you know, your point about it craft, you're going to start tracking developers as they go through their career and invest and bet on them. >> Don't reveal our secrets to theCUBE. We have scouts everywhere, be careful out there. (laughs) >> But think about that, imagine it's like there's such a core focus on hiring from college, but we had an intern from high school two years ago. We hire freshman. >> Okay so let's go, I want to do a whole segment on this but I want to just get this point because we're both sports fans and we can riff on sports all day long. >> I'm just not getting the chance >> And the greatness of Tom Brady >> to talk about the Patriots. >> And Tom Brady's gotten his sixth finger attached to his hands for his sixth ring coming up. No but this is interesting. Sports is highly data driven. >> Alan: Yep. >> Okay and so what you're getting at here, with an MVP economy, token economics is more of a signal, not yet mainstream, but you can almost go there and think okay data driven gives you more accuracy so if you can bring data driven to the tech world, that's kind of an interesting point. What's your thoughts on that? >> Yeah I mean look, I think you have to track everything. You have to follow things, and by the way, we have great tools now, you can track people through LinkedIn. There's all kinds of vehicles to tracking individuals, you track products, you track everything, and you know look, we were talking about this before we went on the show right, people make decisions based on analytics increasingly. Now the craft part is what's interesting and I'm not the complete expert, I'm on the business side, I'm not an engineer by training, but look a lot of people understand a great developer is better than five bad developers. >> Well Mark Andris' 10x is a classic example of that. >> There's clearly a star system involved, so if I think in middle school or in high school, you're going to be a good developer, and I'm going to track your career through college and I'm going to try to figure out how to attach. That's why we started hiring freshmen. >> Well my good friend Dave Girouard started a company that does that, will fund the college education for people that they want to bet on. >> Sure, they're just taking an option in them. >> Yeah, option on their earnings. Exactly. >> They are. >> It sounds like token economics to me. (laughs) >> You know you can sell anything. We are in that economy, you can sell those pieces. The good news is I think it can be a great flattener, meaning that it can move things back more to a meritocracy because if I'm tracking people in high school, I'm not worrying whether they're going to go to Stanford or Harvard or Northwestern, right? I'm going to track their abilities in an era and it's interesting, speaking about craft, you know, what are internships? They're apprenticeships. I mean it is a little bit like a craft, right? Because you're basically apprenticing somebody for a future payout for them coming to work for you and being skilled because they don't know anything when they come and work, I shouldn't say that, they actually know a lot of things. >> Alan, great to have you on theCUBE as always, great to come in and get the update. We'll certainly do more but I'd like to do a segment on you on the startup scene and sort of the venture capital dynamics, we were tracking that as well, we've been putting a lot of content out there. We believe Silicon Valley's a great place. This mission's out there, we've been addressing them, but we really want to point the camera this year at some of the great stuff, so we're looking forward to having you come back in. My final question for you is a personal one. I love having these conversations because we can look back and also look forward. You do a lot of mentoring and you're also helping a lot of folks in the industry within just your realm but also startups and peers. What's your advice these days? Because there's a lot of things, we just kind of talked a lot of it. When people come to you for advice and say, "Alan, I got a career change," or "I'm looking at this new opportunity," or "Hey, I want to start a company," or "I started a company," how is your mentoring and your advisory roles going on these days? Can you share things that you're advising? Key points that people should be aware of. >> Well look, ultimately ... I never really thought about it, you just asked the question so, ultimately, I think to me it comes down to own your own fate. What it means is like do something that you're really passionate about, do something that's going to be unique. Don't be the 15th in any category. Jack Welch taught us a long time ago that the number one player in a market gets 70% of the economic value, so you don't want to play for sixth place. It's like Ricky Bobby said, if you're not first, you're last. (John chuckles) I mean you can't always be first, but you should play for that. I think for a lot of companies now, I think they have to make sure that, and people participating, make sure that you're not playing the old playbook, you're not fighting yesterday's battle. Rhett Butler in Gone With the Wind said, "There's a lot of money in building up an empire, "and there's even more money in tearing it down." There are people who enter markets to basically punish encumbrance, take share because of innovation, but I think the really inspirational is you know, look forward five years and find a practical but aggressive path to being part of that side of history. >> So are we building up or are we taking down? I mean it seems to me, if I'm not-- >> You're always doing both. The ocean is always fighting the mountains, right? That is the course of, right? And then new mountains come up and the water goes someplace else. We are taking down parts of the client server industry, the stack that you and I built a lot of our personal career of it, but we're building this new cloud and mobile stack at the same time. And you're point is we're building a new currency stack and we're going to have to build a new privacy stack. It's never, the greatest thing about our industry is there's always something to do. >> How has the environment of social media, things out there, we're theCUBE, we do our thing with events, and just in general, change the growth plans for individuals if you were, could speak to your 23 year old self right now, knowing what you know-- >> Oh I have one piece of advice I give everybody. Take as much risk as humanly possible in your career earlier on. There's a lot of people that have worked with me or worked for me over the years, you know people when they get into their 40s and they go, "I'm thinking about doing a startup," I go, "You know when you got two kids in college "and you're trying to fund your 401K, "working for less cash and more equity may not be "the most comfortable conversation in your household." It didn't work well in my household. I mean I'm like Benjamin Button. I started in big companies, I'm going to smaller companies. Some day it's just going to be me and a dog and one other guy. >> You went the wrong way. >> Yeah I went the wrong way and I took all the risk later. Now I was lucky in part that the transition worked. When I see younger folks, it's always like, do the riskiest thing humanly possible because the penalty is really small. You have to find a job in a year, right? But you know, you don't have the mortgage, and you don't have the kids to support. I think people have to build an arc around their careers that's suitable with their risk profile. Like maybe you don't buy into bitcoin at 19,000. Could be wrong, could be 50,000 sometime, but you know it's kind of 11 now and it's like-- >> Yeah don't go all in on 19, maybe take a little bit in. It's the play and run-- >> Dollar cost averaging over the years, that's my best fidelity advice. I think that's what's really important for people. >> What about the 45 year old executive out there, male or female obviously, the challenges of ageism? We're in economy, a gig economy, whatever you want to call, MVP economics, token economics, this is a new thing. Your advice to someone who's 45 who just says "Hey you're too old for our little hot startup." What should they do? >> Well being on the other side of that history I understand it firsthand. I think that you have an incumbent role in your career to constantly re-educate yourself. If you show up, whether you're a 25, 35, 45, 55, or 65, I hope I'm not working when I'm 75, but you never know right? (mumbles) >> You'll never stop working, that's my prediction. >> But you know have you mastered the new skills? Have you reinvented yourself along the way? I feel like I have a responsibility to feed the common household. My favorite part of my LinkedIn profile, it says, "Obedient worker bee at the Cohen household," because when I go home, I'm not in charge. I've always felt that it's up to me to make sure I'm not going to be irrelevant. That to me is, you know, that to me, I don't worry about ageism, I worry about did I-- >> John: Relevance. >> Yeah did I make myself self-obsolescent? I think if you're going to look at your career and you haven't looked at your career in 15 years and you're trying to do something, you may be starting from a deficit. So the question, what can I do? Before I make that jump, can I get involved, can I advise some small companies? Could I work part time and on the weekends and do some things so that when you finally make that transition, you have something to offer and you're relevant in the dialogue. I think that's, you know, nobody trains you, right? We're not good as an industry-- >> Having a good community, self-learning, growth mindset, always be relevant is not a bad strategy. >> Yeah, I mean because I find increasingly, I see people of all ages in companies. There is ageism, there is no doubt. There's financial ageism and then there's kind of psychological bias ageism, but if you keep yourself relevant and you are the up to speed in your thing, people will beat a path to want to work for you because there's still a skill gap in our industry-- >> And that's the key. >> Yeah, make sure that you're on the right side of that skill gap, and you will always have something to offer to people. >> Alan, great to have you come in the studio, great to see you, thanks for the commentary. It's a special CUBEConversation, we're talking about the future of technology impact the society and a range of topics that are emerging, we're on a pioneering, new generational shift and theCUBE is obviously covering the most important stories in Silicon Valley from figuring out what fake news is to impact to the humans around the world and again, we're doing our part to cover it. Alan Cohen, CUBEConversation, I'm John Furrier, thanks for watching. (upbeat music)

>> Announcer: Live from Las Vegas, it's theCUBE. Covering Veritas Vision 2017. Brought to you by Veritas. (peppy digital music) >> Veritas Vision 2017 everybody. We're here at The Aria Hotel. This is day two of theCUBE's coverage of Vtas, #VtasVision, and this is theCUBE, the leader in live tech coverage. My name is Dave Vellante, and I'm here with Stuart Miniman who is my cohost for the week. Stu, we heard Richard Branson this morning. The world-renowned entrepreneur Sir Richard Branson came up from the British Virgin Islands where he lives. He lives in the Caribbean. And evidently he was holed out during the hurricane in his wine cellar, but he was able to make it up here for the keynote. We saw on Twitter, so, great keynote, we'll talk about that a little bit. We saw on Twitter that he actually stopped by the Hitachi event, Hitachi NEXT for women in tech, a little mini event that they had over there. So, pretty cool guy. Some of the takeaways: he talked a lot about- well, first of all, welcome to day two. >> Thanks, Dave. Yeah, and people are pretty excited that sometimes they bring in those marquee guests, someone that's going to get everybody to say, "Okay, wait, it's day two. "I want to get up early, get in the groove." Some really interesting topics, I mean talking about, thinking about the community at large, one of the things I loved he talked about. I've got all of these, I've got hotels, I've got different things. We draw a circle around it. Think about the community, think about the schools that are there, think about if there's people that don't have homes. All these things to, giving back to the community, he says we can all do our piece there, and talking about sustainable business. >> As far as, I mean we do a lot of these, as you know, and as far as the keynote speakers go, I thought he was one of the better ones. Certainly one of the bigger names. Some of the ones that we've seen in the past that I think are comparable, Bill Clinton at Dell World 2012 was pretty happening. >> There's a reason that Bill Clinton is known as the orator that he is. >> Yeah, so he was quite good. And then Robert Gates, both at ServiceNow and Nutanics, Condi Rice at Nutanics, both very impressive. Malcolm Gladwell, who's been on theCUBE and Nate Silver, who's also been on theCUBE, again, very impressive. Thomas Friedman we've seen at the IBM shows. The author, the guy who wrote the Jobs book was very very strong, come on, help me. >> Oh, yeah, Walter Isaacson. >> Walter Isaacson was at Tableau, so you've seen some- >> Yeah, I've seen Elon Musk also at the Dell show. >> Oh, I didn't see Elon, okay. >> Yeah, I think that was the year you didn't come. >> So I say Branson, from the ones I've seen, I don't know how he compared to Musk, was probably the best I think I've ever seen. Very inspirational, talking about the disaster. They had really well-thought-out and well-produced videos that he sort of laid in. The first one was sort of a commercial for Richard Branson and who he was and how he's, his passion for changing the world, which is so genuine. And then a lot of stuff on the disaster in the British Virgin Islands, the total devastation. And then he sort of went into his passion for entrepreneurs, and what he sees as an entrepreneur is he sort of defined it as somebody who wants to make the world a better place, innovations, disruptive innovations to make the world a better place. And then had a sort of interesting Q&A session with Lynn Lucas. >> Yeah, and one of the lines he said, people, you don't go out with the idea that, "I'm going to be a businessman." It's, "I want to go out, I want to build something, "I want to create something." I love one of the early anecdotes that he said when he was in school, and he had, what was it, a newsletter or something he was writing against the Vietnam War, and the school said, "Well, you can either stay in school, "or you can keep doing your thing." He said, "Well, that choice is easy, buh-bye." And when he was leaving, they said, "Well, you're either going to be, end up in jail or be a millionaire, we're not sure." And he said, "Well, what do ya know, I ended up doing both." (both laughing) >> So he is quite a character, and just very understated, but he's got this aura that allows him to be understated and still appear as this sort of mega-personality. He talked about, actually some of the interesting things he said about rebuilding after Irma, obviously you got to build stronger homes, and he really sort of pounded the reducing the reliance on fossil fuels, and can't be the same old, same old, basically calling for a Marshall Plan for the Caribbean. One of the things that struck me, and it's a tech audience, generally a more liberal audience, he got some fond applause for that, but he said, "You guys are about data, you don't just ignore data." And one of the data points that he threw out was that the Atlantic Ocean at some points during Irma was 86 degrees, which is quite astounding. So, he's basically saying, "Time to make a commitment "to not retreat from the Paris Agreement." And then he also talked about, from an entrepreneurial standpoint and building a company that taking note of the little things, he said, makes a big difference. And talking about open cultures, letting people work from home, letting people take unpaid sabbaticals, he did say unpaid. And then he touted his new book, Finding My Virginity, which is the sequel to Losing My Virginity. So it was all very good. Some of the things to be successful: you need to learn to learn, you need to listen, sort of an age-old bromide, but somehow it seemed to have more impact coming from Branson. And then, actually then Lucas asked one of the questions that I put forth, was what's his relationship with Musk and Bezos? And he said he actually is very quite friendly with Elon, and of course they are sort of birds of a feather, all three of them, with the rocket ships. And he said, "We don't talk much about that, "we just sort of-" specifically in reference to Bezos. But overall, I thought it was very strong. >> Yeah Dave, what was the line I think he said? "You want to be friends with your competitors "but fight hard against them all day, "go drinking with them at night." >> Right, fight like crazy during the day, right. So, that was sort of the setup, and again, I thought Lynn Lucas did a very good job. He's, I guess in one respect he's an easy interview 'cause he's such a- we interview these dynamic figures, they just sort of talk and they're good. But she kept the conversation going and asked some good questions and wasn't intimidated, which you can be sometimes by those big personalities. So I thought that was all good. And then we turned into- which I was also surprised and appreciative that they put Branson on first. A lot of companies would've held him to the end. >> Stu: Right. >> Said, "Alright, let's get everybody in the room "and we'll force them to listen to our product stuff, "and then we can get the highlight, the headliner." Veritas chose to do it differently. Now, maybe it was a scheduling thing, I don't know. But that was kind of cool. Go right to where the action is. You're not coming here to watch 60 Minutes, you want to see the headline show right away, and that's what they did, so from a content standpoint I was appreciative of that. >> Yeah, absolutely. And then, of course, they brought on David Noy, who we're going to have on in a little while, and went through, really, the updates. So really it's the expansion, Dave, of their software-defined storage, the family of products called InfoScale. Yesterday we talked a bit about the Veritas HyperScale, so that is, they've got the HyperScale for OpenStack, they've got the HyperScale for containers, and then filling out the product line is the Veritas Access, which is really their scale-out NAS solution, including, they did one of the classic unveils of Veritas Software Company. It was a little odd for me to be like, "Here's an appliance "for Veritas Bezel." >> Here's a box! >> Partnership with Seagate. So they said very clearly, "Look, if you really want it simple, "and you want it to come just from us, "and that's what you'd like, great. "Here's an appliance, trusted supplier, "we've put the whole thing together, "but that's not going to be our primary business, "that's not the main way we want to do things. "We want to offer the software, "and you can choose your hardware piece." Once again, knocking on some of those integrated hardware suppliers with the 70 point margin. And then the last one, one of the bigger announcements of the show, is the Veritas Cloud Storage, which they're calling is object storage with brains. And one thing we want to dig into: those brains, what is that functionality, 'cause object storage from day one always had a little bit more intelligence than the traditional storage. Metadata is usually built in, so where is the artificial intelligence, machine learning, what is that knowledge that's kind of built into it, because I find, Dave, on the consumer side, I'm amazed these days as how much extra metadata and knowledge gets built into things. So, on my phone, I'll start searching for things, and it'll just have things appear. I know you're not fond of the automated assistants, but I've got a couple of them in my house, so I can ask them questions, and they are getting smarter and smarter over time, and they already know everything we're doing anyway. >> You know, I like the automated assistants. We have, well, my kid has an Echo, but what concerns me, Stu, is when I am speaking to those automated assistants about, "Hey, maybe we should take a trip "to this place or that place," and then all of a sudden the next day on my laptop I start to see ads for trips to that place. I start to think about, wow, this is strange. I worry about the privacy of those systems. They're going to, they already know more about me than I know about me. But I want to come back to those three announcements we're going to have David Noy on: HyperScale, Access, and Cloud Object. So some of the things we want to ask that we don't really know is the HyperScale: is it Block, is it File, it's OpenStack specific, but it's general. >> Right, but the two flavors: one's for OpenStack, and of course OpenStack has a number of projects, so I would think you could be able to do Block and File but would definitely love that clarification. And then they have a different one for containers. >> Okay, so I kind of don't understand that, right? 'Cause is it OpenStack containers, or is it Linux containers, or is it- >> Well, containers are always going to be on Linux, and containers can fit with OpenStack, but we've got their Chief Product Officer, and we've got David Noy. >> Dave: So we'll attack some of that. >> So we'll dig into all of those. >> And then, the Access piece, you know, after the apocalypse, there are going to be three things left in this world: cockroaches, mainframes, and Dot Hill RAID arrays. When Seagate was up on stage, Seagate bought this company called Dot Hill, which has been around longer than I have, and so, like you said, that was kind of strange seeing an appliance unveil from the software company. But hey, they need boxes to run on this stuff. It was interesting, too, the engineer Abhijit came out, and they talked about software-defined, and we've been doing software-defined, is what he said, way before the term ever came out. It's true, Veritas was, if not the first, one of the first software-defined storage companies. >> Stu: Oh yeah. >> And the problem back then was there were always scaling issues, there were performance issues, and now, with the advancements in microprocessor, in DRAM, and flash technologies, software-defined has plenty of horsepower underneath it. >> Oh yeah, well, Dave, 15 years ago, the FUD from every storage company was, "You can't trust storage functionality "just on some generic server." Reminds me back, I go back 20 years, it was like, "Oh, you wouldn't run some "mission-critical thing on Windows." It's always, "That's not ready for prime time, "it's not enterprise-grade." And now, of course, everybody's on the software-defined bandwagon. >> Well, and of course when you talk to the hardware companies, and you call them hardware companies, specifically HPE and Dell EMC as examples, and Lenovo, etc. Lenovo not so much, the Chinese sort of embraced hardware. >> And even Hitachi's trying to rebrand themselves; they're very much a hardware company, but they've got software assets. >> So when you worked at EMC, and you know when you sat down and talked to the guys like Brian Gallagher, he would stress, "Oh, all my guys, all my engineers "are software engineers. We're not a hardware company." So there's a nuance there, it's sort of more the delivery and the culture and the ethos, which I think defines the software culture, and of course the gross margins. And then of course the Cloud Object piece; we want to understand what's different from, you know, object storage embeds metadata in the data and obviously is a lower cost sort of option. Think of S3 as the sort of poster child for cloud object storage. So Veritas is an arms dealer that's putting their hat in the ring kind of late, right? There's a lot of object going on out there, but it's not really taking off, other than with the cloud guys. So you got a few object guys around there. Cleversafe got bought out by IBM, Scality's still around doing some stuff with HPE. So really, it hasn't even taken off yet, so maybe the timing's not so bad. >> Absolutely, and love to hear some of the use cases, what their customers are doing. Yeah, Dave, if we have but one critique, saw a lot of partners up on stage but not as many customers. Usually expect a few more customers to be out there. Part of it is they're launching some new products, not talking about very much the products they've had in there. I know in the breakouts there are a lot of customers here, but would have liked to see a few more early customers front and center. >> Well, I think that's the key issue for this company, Stu, is that, we talked about this at the close yesterday, is how do they transition that legacy install base to the new platform. Bill Coleman said, "It's ours to lose." And I think that's right, and so the answer for a company like that in the playbook is clear: go private so you don't have to get exposed to the 90 day shock lock, invest, build out a modern platform. He talked about microservices and modern development platform. And create products that people want, and migrate people over. You're in a position to do that. But you're right, when you talk to the customers here, they're NetBackup customers, that's really what they're doing, and they're here to sort of learn, learn about best practice and see where they're going. NetBackup, I think, 8.1 was announced this week, so people are glomming onto that, but the vast majority of the revenue of this company is from their existing legacy enterprise business. That's a transition that has to take place. Luckily it doesn't have to take place in the public eye from a financial standpoint. So they can have some patient capital and work through it. Alright Stu, lineup today: a lot of product stuff. We got Jason Buffington coming on for getting the analyst perspective. So we'll be here all day. Last word? >> Yeah, and end of the day with Foreigner, it feels like the first time we're here. Veritas feels hot-blooded. We'll keep rolling. >> Alright, luckily we're not seeing double vision. Alright, keep it right there everybody. We'll be back right after this short break. This is theCUBE, we're live from Vertias Vision 2017 in Las Vegas. We'll be right back. (peppy digital music)

>> Narrator: Live from Boston, Massachusetts, this is theCUBE covering Spark Summit East 2017. Brought to you by Databricks. Now, here are your hosts, Dave Vellante and George Gilbert. >> Everybody the euphoria is still palpable here, we're in downtown Boston at the Hynes Convention Center. For Spark Summit East, #SparkSummit, my co-host and I, George Gilbert, will be unpacking what's going on for the next two days. George, it's good to be working with you again. >> Likewise. >> I always like working with my man, George Gilbert. We go deep, George goes deeper. Fantastic action going on here in Boston, actually quite a good crowd here, it was packed this morning in the keynotes. The rave is streaming. Everybody's talking about streaming. Let's sort of go back a little bit though George. When Spark first came onto the scene, you saw these projects coming out of Berkeley, it was the hope of bringing real-timeness to big data, dealing with some of the memory constraints that we found going from batch to real-time interactive and now streaming, you're going to talk about that a lot. Then you had IBM come in and put a lot of dough behind Spark, basically giving it a stamp, IBM's imprimatur-- >> George: Yeah. >> Much in the same way it did with Lynx-- >> George: Yeah. >> Kind of elbowing it's way in-- >> George: Yeah. >> The marketplace and sort of gaining a foothold. Many people at the time thought that Hadoop needed Spark more than Spark needed Hadoop. A lot of people thought that Spark was going to replace Hadoop. Where are we today? What's the state of big data? >> Okay so to set some context, when Hadoop V1, classic Hadoop came out it was file system, commodity file system, keep everything really cheap, don't have to worry about shared storage, which is very expensive and the processing model, the execution of munging through data was map produced. We're all familiar with those-- >> Dave: Complicated but dirt cheap. >> Yes. >> Dave: Relative to a traditional data warehouse. >> Yes. >> Don't buy a big Oracle Unix box or Lynx box, buy this new file system and figure out how to make it work and you'll save a ton of money. >> Yeah, but unlike the traditional RDBMS', it wasn't really that great for doing interactive business intelligence and things like that. It was really good for big batch jobs that would run overnight or periods of hours, things like that. The irony is when Matei Zaharia, the co-creator of Spark or actually the creator and co-founder of Databricks, which is steward of Spark. When he created the language and the execution environment, his objective was to do a better MapReduce than Radue, than MapReduce, make it faster, take advantage of memory, but he did such a good job of it, that he was able to extend it to be a uniform engine not just for MapReduce type batch stuff, but for streaming stuff. >> Dave: So originally they start out thinking that if I get this right-- >> Yeah. >> It was sort of a microbatch leveraging memory more effectively and then it extended beyond-- >> The microbatch is their current way to address the streaming stuff. >> Dave: Okay. >> It takes MapReduce, which would be big long running jobs, and they can slice them up and so each little slice turns into an element in the stream. >> Dave: Okay, so the point it was improvement upon these big long batch jobs-- >> George: Yeah. >> They're making it batch to interactive in real-time, so let's go back to big data for a moment here. >> George: Yeah. >> Big data was the hottest topic in the world three or four years ago and now it's sort of waned as a buzz word, but big data is now becoming more mainstream. We've talked about that a lot. A lot of people think it's done. Is big data done? >> George: Not it's more that it's sort of-- it's boring for us, kind of pundits, to talk about because it's becoming part of the fabric. The use cases are what's interesting. It started out as a way to collect all data into this really cheap storage repository and then once you did that, this was the data you couldn't afford to put into your terra data, data warehouse at 25,000 per terabyte or with running costs a multiple of that. Here you put all your data in here, your data scientists and data engineers started munging with the data, you started taking workloads off your data warehouse, like ETL things that didn't belong there. Now people are beginning to experiment with business intelligence sort of exploration and reporting on Hadoop, so taking more workloads off the data warehouse. The limitations, there are limitations there that will get solved by putting MPP SQL back-ends on it, but the next step after that. So we're working on that step, but the one that comes after that is make it easier for data scientists to use this data, to create predictive models-- [Dave] Okay, so I often joke that the ROI on big data was reduction on investment and lowering the denominator-- >> George: Yeah. >> In the expense equation, which I think it's fair to say that big data and Hadoop succeeded in achieving that, but then the question becomes, what's the real business impact. Clearly big data has not, except in some edge cases and there are a number of edge cases and examples, but it's not yet anyway lived up to the promise of real-time, affecting outcomes before, you know taking the human out of the decision, bringing transaction and analytics together. Now we're hearing a lot of that talk around AI and machine learning, of course, IoT is the next big thing, that's where streaming fits in. Is it same line new bottle? Or is it sort of the evolution of the data meme? >> George: It's an evolution, but it's not just a technology evolution to make it work. When we've been talking about big data as efficiency, like low cost, cost reduction for the existing type of infrastructure, but when it starts going into machine learning you're doing applications that are more strategic and more top line focused. That means your c-level execs actually have to get involved because they have to talk about the strategic objectives, like growth versus profitability or which markets you want to target first. >> So has Spark been a headwind or tailwind to Hadoop? >> I think it's very much been a tailwind because it simplified a lot of things that took many, many engines in Hadoop. That's something that Matei, creator of Spark, has been talking about for awhile. >> Dave: Okay something I learned today and actually I had heard this before, but the way I phrased it in my tweet, Genomiocs is kicking Moore's Law's ass. >> George: Yeah. >> That the price performance of sequencing a gene improves three x every year to what is essentially a doubling every 18 months for Moore's Law. The amount of data that's being created is just enormous, I think we heard from Broad Institute that they create 17 terabytes a day-- >> George: Yeah. >> As compared to YouTube, which is 24 terabytes a day. >> And then a few years it will be-- >> It will be dwarfing YouTube >> Yeah. >> Of course Twitter you couldn't even see-- >> Yeah. >> So what do you make of that? Is that just the fun fact, is that a new use case, is that really where this whole market is headed? >> It's not a fun fact because we've been hearing for years and years about this study about data doubling every 18 to 24 months, that's coming from the legacy storage guys who can only double their capacity every 18 to 24 months. The reality is that when we take what was analog data and we make it digitally accessible, the only thing that's preventing us from capturing all this data is the cost to acquire and manage it. The available data is growing much, much faster than 40% every 18 months. >> Dave: So what you're saying is that-- I mean this industry has marched to the cadence of Moore's Law for decades and what you're saying is that linear curve is actually reshaping and it's becoming exponential. >> George: For data-- >> Yes. >> George: So the pressure is on for compute, which is now the bottleneck to get clever and clever about how to process it-- >> So that says innovation has to come from elsewhere, not just Moore's Law. It's got to come from a combination of-- Thomas Friedman talks a lot about Moore's Law being one of the fundamentals, but there are others. >> George: Right. >> So from a data perspective, what are those combinatorial effects that are going to drive innovation forward? >> George: There was a big meetup for Spark last night and the focus was this new database called SnappyData that spun out of Pivotal and it's being mentored by Paul Maritz, ex-head of Development in Microsoft in the 90s and former head of VMWare. The interesting thing about this database, and we'll start seeing it in others, is you don't necessarily want to be able to query and analyze petabytes at once, it will take too long, sort of like munging through data of that size on Hadoop took too long. You can do things that approximate the answer and get it much faster. We're going to see more tricks like that. >> Dave: It's interesting you mention Maritz, I heard a lot of messaging this morning that talked about essentially real-time analysis and being able to make decisions on data that you've never seen before and actually affect outcomes. This narrative I first heard from Maritz many, many years ago when they launched Pivotal. He launched Pivotal to be this platform for building big data apps and now you're seeing Databricks and others sort of usurp that messaging and actually seeming to be at the center of that trend. What's going on there? >> I think there's two, what would you call it, two centers of gravity and our CTO David Floyer talks about this. The edge is becoming more intelligent because there's a huge bandwidth and latency gap between these smart devices at the edge, whether the smart device is like a car or a drone or just a bunch of sensors on a turbine. Those things need to analyze and respond in near real-time or hard real-time, like how to tune themselves, things like that, but they also have to send a lot of data back to the cloud to learn about how these things evolve. In other words it would be like sending the data to the cloud to figure out how the weather patterns are changing. >> Dave: Um,humm. >> That's the analogy. You need them both. >> Dave: Okay. >> So Spark right now is really good in the cloud, but they're doing work so that they can take a lighter weight version and put at the edge. We've also seen Amazon put some stuff at the edge and Azure as well. >> Dave: I want you to comment. We're going to talk about this later, we have a-- George and I are going to do a two-part series at this event. We're going to talk about the state of the market and then we're going to release our big data, in a glimpse to our big data numbers, our Spark forecast, our streaming forecast-- I say I mention streaming because that is-- we talk about batch, we talk about interactive/real-time, you know you're at a terminal-- anybody who's as old as I am remembers that. But now you're talking about streaming. Streaming is a new workload type, you call these things continuous apps, like streams of events coming into a call center, for example, >> George: Yeah. >> As one example that you used. Add some color to that. Talk about that new workload type and the roll of streaming, and really potentially how it fits into IoT. >> Okay, so for the last 60 years, since the birth of digital computing, we've had either one of two workloads, they were either batch, which is jobs that ran offline, you put your punch cards in and sometime later the answer comes out. Or we've had interactive, which is originally it was green screens and now we have PCs and mobile devices. The third one coming up now is continuous or streaming data that you act on in near real-time. It's not that those apps will replace the previous ones, it's that you'll have apps that have continuous processing, batch processing, interactive as a mix. An example would be today all the information about how your applications and data center infrastructure are operating, that's a lot of streams of data that Splunk first, took amat and did very well with-- so that you're looking in real-time and able to figure out if something goes wrong. That type of stuff, all the coulometry from your data center, that is a training wheel for Internet things, where you've got lots of stuff out at the edge. >> Dave: It's interesting you mention Splunk, Splunk doesn't actually use the big data term in its marketing, but they actually are big data and they are streaming. They're actually not talking about it, they're just doing it, but anyway-- Alright George, great thanks for that overview. We're going to break now, bring back our first guest, Arun Murthy, coming in from Hortonworks, co-founder at Hortonworks, so keep it right there everybody. This is theCUBE we're live from Spark Summit East, #SparkSummit, we'll be right back. (upbeat music)

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