>> [Announcer] From San Francisco, it's theCUBE. Covering Radio 2018, brought to you by VMware. (upbeat music) >> Hello everyone welcome back, this is theCUBE's exclusive coverage here at VMware's Radio 2018, this is their seminal, big-tent event for their top engineers, smartest people come together present their reports, their projects, and come together as a community and share great content and agenda. As Steve Herrod former CTO says, this is like a sales kickoff for engineers, it's motivated and they flex their muscles, technically, stretch their minds. I'm here with Pat Gelsinger, the CEO VMware, great to see you, welcome back to theCUBE. >> Hey thank you very much, it's fun to be here at Radio. >> So this is nerd central, this is >> Absolutely, this is like geek city baby. >> Dave and I always complement you on your business acumen obviously doing great as a CEO, the numbers, business performance, world class organization, check, best place to work, one of the best places to work for, check. But you're kind of a geek at heart, you like to get down and dirty, technical, this is your event. You gettin' down with the folks? >> Yeah it's fun, I was just at our sales, we have a top sales people, our sales club, so we did it in Abu Dhabi this year, so I was just over there a couple of week ago for that so hobnobbing with the sales guys which is super important, right? Their motivation, their creme de la creme of the year, but to me this one is better, right? Just 'cause now the tech guys comin' together 'cause most companies don't do anything like this, right? So it really is a unique piece of the VMware culture where the tech guys get together and they just geek out for a couple of days and to be awarded best of Radio, it's like, oh man you're a god inside of VMware. >> It's like the Sundance Film Festival, Cannes Film Festival, the Oscars, it's a huge accomplishment and knowing people internally. >> Yeah and some of Ray's numbers this morning as he showed in the keynote, I mean it's competitive to get your paper shown here is competitive, right? So there's a set of judges that are picking the papers that are here out of this we already have over 200 invention disclosures that have come out of just the preparation for the conference and we haven't even gotten started yet, and now the keynotes this morning and poster sessions all week long, and letting the engineers just really vibrate off of each others' ideas and challenge them and all of our PEs and fellows roaming around here they're sort of like the big guys on campus, but hey the young Turks are coming up and they're challenging them on ideas it really is a delightful few days. >> I love your perspective, I wanna get your reaction 'cause one, not only do you have a storied history working at Intel, really a great innovative founders of Silicon Valley with HPs of the world, and now you're the chief of VMware a modern era's here, you talk about this all the time publicly about the business context and at the events, but it's different Google had pioneered this notion of 20% of your time you could work on side project, more of an academic culture Google has, I mean I love that it's cool, but VMware has a unique culture and I want you to talk about that dynamic because you have to be versatile now, agile more than ever, you have to be faster time to market, and it's always been hard for companies to crack the code on knocking down the big ideas, solving the hardest problems but yet making it practical at the same time. What's your reaction to how you guys are doing it, >> what's different? Share some color. >> In some ways and I think some of the panel, we had a panel session this morning, Steve did one session, but we had of the original engineers in the company, the five of the original engineers, right were here and they were saying it was sort of like we're doing research in a business who had business objectives, right? Solving problems that had never been solved before, Sort of the VMware culture is if it's not a hard problem, it's not worth it, right? And our objective isn't to be 2x or 10% better, but to be 10x better, right? And when you're doin' those kind of things you can't always put that on a schedule, right? The problem is solved when it's solved, right? And I was just meeting with one of my teams last night and this is, well alright that looked pretty good but I don't think you've met the minimum viable product yet so let's put it in an open beta for six months before we actually call it GA 'cause I don't think you're done >> solving the hard problem yet, right? >> So you're squinting through and looking at the projects from that? >> Yeah right, is it ready? And have we really delivered something that customers can say, "Yeah here's the value proposition you promised, here's what you're delivering me, it is a quality product," right? Which is something that's deep in that history of VMware right in many cases, and I love one of the statistics this morning, they said the early core dumps of ESX, right they found that over 2/3 of them were a result of memory parody errors, not of ESX failures of any sense, so meaning that the hardware was less reliable than the software was, that's all we sort of this magic that we say, we're out to produce world class infrastructure software that's better than the hardware ever could have been and for a hardware guy that's sort >> So that was your problem, originally I think it was on your watch actually the first core dump. Throwback Thursday would they do core dumps from like 10 years ago look at a simpler core, >> look at x say "Hey look at the core dump, Hey look at cool that is." (laughing) >> If I see the Biaz prompt oh my gosh where did that come from? >> Let's get some vinyl records and look at some core dumps from 1992. >> So Pat, now this is important because I think this is a killer point, when you look at innovation VMware has to meet the challenge of being on that next wave and you've said on theCUBE many times, if you're not on that next wave you're driftwood. A lot of companies who try to do R&D end up solving hard problems to attract the top talent, but they end up getting so focused on the problem they end up in a cul-de-sac on the wrong wave, they miss the next wave. >> [Pat] Yeah. >> How do you manage that? 'Cause this is your sticking point is to make sure you don't miss the next wave, you transition properly, how do you avoid that problem of getting so focused on the intoxicating aspect of solving problem and being in a cul-de-sac no market wave missed? >> Yeah and it's hard right? In that sense and I'll say there's, we sort of look at it from three different dimensions, one is, hey you gotta keep this bubbling cauldron of ideas and that's why we're here at Radio, right? Just these people working on ideas, right? You have some really cool stuff and every once in a while you're telling the engineers, "Well that's good but you haven't solved the hardest piece of that problem yet and so on." Then you have to be able to take it from that bubbling cauldron to, I'll say, an incubation product, right? 'Cause VMware yeah we do R&D, we do core research as well, but fundamentally we've been able to create markets based on our products and really scale them, right? The embarrassing truth of any enterprise software company is for every dollar of R&D you spend, you spend two dollars of sales and marketing, so we can't under invest in those products that we've picked that now are scaling into the market, we have to put the >> dedicated sales >> [John] Get the leverage >> out of it >> The SEs et cetera, that's really frightening. When I'm done innovating a new idea maybe I've dumped 10 million or 15 million into the core idea, okay, now I got to go spend twice that amount on >> Good marketing. >> Marketing of it and boy it's expensive to bring things into the enterprise and if the product isn't robust and solid and really compelling, then it might be three or four x, so you're now rewarded with your R&D investment to go spend on sales and marketing now, so yeah we've really taken and we have a very BCG matrix kind of view of how we take products from incubation into early market success and then into scale and finally cash cow and retirement and that process is one you have to be equally disciplined about. The third piece of it is you have to be able to declare failure and for failures, it's how do you harvest technologies and learning, but be able to look at something vCloud Air and say, "Okay we weren't successful" and now go build a multi cloud, an Amazon partnership coming out of it, we have to be able to make those shifts right and be able to declare failure, be able to move our customers forward, and then move on to the next big thing >> [John] I mean the math works >> 'Cause you're not gonna get 'em all right. >> So to your point, the math works when you can abandon quickly >> [Pat] Yeah. >> That's where the winners are 'cause then you can move the probability of success somewhere else. >> Yeah and if you can't declare failure, right, and view that in the positive and proud way. One of the failures of vCloud Air became the success of our hybrid cloud service capability now, right a lot of this ability to move workloads between public clouds was a direct harvesting of our vCloud Air failure, we're able to take that technology forward and that's now one of the pillars of how we're differentiate and our Amazon service, OBH partnership, IBM, are building on those hybrid cloud capabilities. >> Pat we've been watching you that's one of the things I will say that you're really amazing at, you're good at, you're the captain, you've got your hand on the wheel, you gotta know when to say, "Hey, close that hatch, or we're going to sink," you gotta, or I'm not that there, knowing when to make the calls. So I gotta ask you, when you look at the marketplace now, you have the option to build, the option to buy, and you have to kinda also balance those three areas, you've got Ray, you've got Rajiv, and you've got the Corp Dev guys, they have to work together and sometimes, hey let's go buy that hot start up or no I have it internally, and sometimes it might be in a core competency area. Talk about as the CEO, you've got your hand on the wheel, okay, you're steering the ship, you're setting the direction, the team's workin' hard, how do you make those calls buy build, and when it's in the core area as the market's shifting, what's that look like for you? What your view as you look forward? >> Yeah there's clearly and we think about the case let's take two examples of our buy. AirWatch, hey we saw that we had nothing in mobility and if we're gonna be in end-user computing we must have mobility in the family, so we really in some degree, we didn't have a choice, we had to go buy if we're gonna be in that space and it became foundational for us in that area. You might have argued, hey we should have done that five years sooner, but we didn't, we had to make a buy decision and then we went out and shopped, literally MobileIron or AirWatch? We looked at those and bake those off until almost the last day, alright? And I went into that expecting we were gonna buy MobileIron, right? >> [John] Really? What was the tipping point? >> Right, well, I became a Silicon Valley company, I thought their technology was a little bit better, I thought the AirWatch guys were a little bit too much market and focused on winning the early market, I didn't know if the product had the quality of a VMware product, so I really was handicapping the MobileIron one and the team came out unanimously with my agreement that AirWatch was the right thing, right? In the case of Nicira, one of the other foundational acquisitions that we did, we had a lot of the distributive virtual switch technology we had already innovated, but we hadn't put a control plane, a scale control plane against and that's Nicira did, so there it was really bringing those pieces together which really has become, I'll say, a marquee aspect of our acquisition, in many cases we're in the space >> You feel good about that, how much you paid for that. >> Oh yeah, I mean at the time people said, "1.2 billion for less than 10 million of revenue, what are you guys stupid?" Now everybody says, "Wow you're brilliant." >> So they didn't look at the underlying technology. >> Absolutely >> Leverage you were getting. >> Four years of hard work, core technology, right, and boom, we're unquestionably the leader in software defined networking now as a result of making a pretty bold bet at the time. Obviously organic innovation is the best because it sort of fits in your stream, you don't have to go, you know, change gooey practices or test release practices, it's already part of you as well. But sometimes, hey, I get to look over 10 startups and pick the winner. I may not be able to fund 10 startups internally and pick the winner, but I can look out over, you pay a premium, and one of the unique things about VMware is that over the 60 or so 70 acquisitions I think we've done now, as a company we have a highly successful track record. >> Is that because of the architectural decisions? It's not just bolt on a business unit and say stand alone and produce cash you guys are thinking strategically around how it fits architecturally, is that the difference? >> I'd say it boils down to a handful of things. That's absolutely one of 'em. We're looking deep at technology, how does it fit our technology, can we bring it in? Second we look at the culture of the company, right? We've said no to some acquisitions just 'cause we've decided that culture won't fit our culture or we're not gonna be able to mold it into our culture as well. Number three, we protect this thing, we run a process by which, hey if this is the acquired company, right, and here's the CEO of this startup company, he has passion, he is the commander of his universe, and tomorrow some low-level legal person can say, "No you can't do that," right, yesterday he was enjoying (laughing). Do we protect them? Do we turn their passion and get them to believe that their passion, remember, they're, yeah they wanna be successful, but they wanna turn their passion and objective into a big industry-changing event. And is that passion better executed inside of the platform of VMware? So we protect them, that low-level legal person can't say no or that finance person, we run a special board process around 'em to protect 'em. >> You don't want people handcuffed. >> Yeah, absolutely, we want them to be unleashed, that they have more power not less after they become part of this company that the platform for their vision and passion becomes bigger as part of ours so we protect 'em like crazy in that process. >> And you do that here at Radio as well. You wanna unleash the ground swell, get the grass roots movement going, let the sparks of innovation kinda fly out there. >> Yeah and our success rate is close to 90% on acquisitions and the industry average is below 50% so I think we've really mastered organic and inorganic innovation as good as any company has in the industry. >> Yeah I will say that's the totally true. And also Vsam became a project that came out of Radio that's been highly successful. >> [Pat] Yeah totally organic in that one. >> So you guys think strategically, it's not just bolting on revenue, although that could help if you can find it, there's not much out there for you guys. (both men laughing) Let's talk about some of the hot trends here at Radio. One of the things we're seeing, obviously with tie-in of the competitive, but also the comradery, a lot of, it's interesting to see how competitive it is, but also again VMware's got a hard core engineering culture, but also a hardcore community culture that shines through, it's obvious, so props to the folks running Radio and then the process. But when you look at the trends, what's trending up is the blockchain. We talked to some of your folks there you guys are looking at this, this is really strategic aspect, you talked with Dave about it briefly at Dell Technologies World, what's your view on blockchain? Obviously, you look at infrastructure, blockchain jumps out at you, your reaction to the hype and allusions and reality of blockchain crypto currency, not so much the ICO's, I think that's just a funding dynamic, lot of project-based stuff, but really there's some infrastructuring dynamics, your thoughts on blockchain as an infrastructure enabler for future wave? >> Yeah you know a couple of comments and one is, I think blockchain as a algorithmic breakthrough is on par with public private key encryption, alright? It's just sort of opened up the world of general purpose cryptography, and I think this idea of an immutable distributive ledger, right, sort of busts apart the database and I don't have to bring things together now the databases spreads, right, across it, immutability, right, transactability, et cetera, takes a lot of the acid characteristics of core databases and now does it in the fully distributive way, very powerful and I think it's gonna change supply chains, change financial systems, it's gonna have very broad implications so overall we're in, we believe very much in the importance of that. >> Real quick, to interrupt you real quick, >> 'cause I wanna get this thought in because you brought up general purpose, one of the things we've been kind of talking off camera, most of our team members is, blockchain looks a lot like maybe processors, general purpose processors, opening up an PC revolution, in the sense of general purpose computing. Blockchain seems to have that same dynamic, potentially, not as a direct metaphor, but if you can open up a new dynamic, that could explode new business models yet to be foreseen. >> Oh yeah, yeah, yeah absolutely. If we could take the cost of transactions down by an order of magnitude, right? If you could increase the reliability of a supply chain, right? If you could right in fact guarantee the source of origin of any product against the ultimate place of consumption, these are industry-changing type of capabilities, so we do see it quite significantly that way. But then as VMware looks at it, if there's not a hard problem to solve, then we shouldn't be in this space. So our team, one of the core problems of blockchain, right >> [John] Slow. >> Is the exponential compute requirements of higher order blockchains, so our team has solved that problem we've done some algorithmic breakthroughs that we believe allow blockchain to scale, a close to linear scale as opposed to exponential scale, wow that's game-changing for, we're also solving the auditability problem, immutable, anonymous, immutable is great, but a lot of things need to audited, right? So how can you bring some of those core concepts into blockchain? So those are some of the hard problems that we're solving, sort of back to the 10x culture, solve hard problems in fundamental ways and that's what we think that we can bring to the blockchain universe. >> Well Pat, I think it's amazing that you're here at the event, I know that you love, look forward to this as well, but to have the CEO come in at the Radio event and really lead the troops by example is awesome. We've got VMworld coming up around the corner, give us some teasers, what's happening? I know you're gonna get in trouble from Robin Matlock, (Pat laughing) but come on tell us what's coming at VMworld. >> (laughes) Well you know we have, of course we have a lot of key products, updates and other things that are coming out. I hope to broaden at VMworld this year, the view of the cloud, right? And you say, "Broaden the view of the cloud, what are you talking about Pat?" Well you're gonna have to come to VMware to get the full story, but I do think that we've thought about the hybrid cloud world largely in this idea of public and private in the past, right? But we see that the vision that we're pursuing is one much larger than that where, right, it's public, private, telco, and edge, right? And the confluence of those four worlds, we believe is something that VMware is uniquely positioned to be able to bring right to the marketplace and the implications of that so, I'm quite excited as I broaden our general view >> of the cloud as we come up on VMworld. >> And one of the exciting things it's our ninth year at VMworld, we've been every year one since theCUBE's existed and thank you for your support. >> Ah that's great. >> But I gotta say, one of the things we can do is look at the tape as they say, you said in 2011 or 2012, hybrid cloud and I kind of was like, Pat come on, hybrid cloud. >> Now everybody's talking about it. >> I think that's what it is. >> Yeah. >> But 2012? How many years ago was that? >> I think 2012 I think is when we first started to use that word. >> Yeah you put the stake in the ground, >> again, you saw that as a wave and a lot's been changed and you look back since 2012 you make the right calls, you feel good about where you're at? Things you could do over? What would you do given from a progress standpoint? What's changed radically in your mind? 'Cause we're still talking about private cloud, what, I mean obviously service mesh is around the corner other cool stuff's happening. >> Yeah you know, clearly I think when we think about the STBC, hey we called it right, we're executing better than anybody else. So you can sort of say check, right? Virtual storage, check. We talk about what we've done at NuComputing, transformed their workplace, check. We're unquestionably the industry leader in that area. I think this idea of hybrid cloud it's taken us too hard, too long too hard to realize that the multicloud vision, so that's the one I'd say, okay we haven't delivered as rapidly or as effectively as we needed to, it's now really starting to materialize, but it's taken me a couple, three years longer than it should have to get there and we comment on the vCloud Air and a little bit of the miss that we had there and that delayed our schedule, also some of the Amazon aspects sent us sideways a little bit, but hey I think we're on a very good path now but then to broaden it, to what we're doing in telco, what we're doing in edge, okay this gets to be really really powerful. >> Pat, great for you success. Thanks for coming by theCUBE here at Radio 2018 this is where all the R&D, it's where the ideas are booming I'm John Furrier with Pat Gelsinger, here in San Francisco for Radio 2018, we'll be back with more coverage after this break, thanks for watching. (upbeat music)

>> Live from Boston, Massachusetts, it's theCUBE, Covering IBM Chief Data Officer Summit. Brought to you by IBM. >> Welcome back to theCUBE's live coverage of IBM Chief Data Strategy Summit. My name is Rebecca Knight, and I'm here with my co-host Dave Vellante, we are joined by Christopher Penn, the VP of Marketing Technology at SHIFT Communications, here in Boston. >> Yes. >> Thanks so much for joining us. >> Thank you for having me. >> So we're going to talk about cognitive marketing. Tell our viewers: what is cognitive marketing, and what your approach to it is. >> Sure, so cognitive marketing essentially is applying machine learning and artificial intelligence strategies, tactics and technologies to the discipline of marketing. For a really long time marketing has been kind of known as the arts and crafts department, which was fine, and there's certainly, creativity is an essential part of the discipline, that's never going away. But we have been tasked with proving our value. What's the ROI of things, is a common question. Where's the data live? The chief data officer would be asking, like, who's responsible for this? And if we don't have good answers to those things, we kind of get shown the door. >> Well it sort of gets back to that old adage in advertising, I know half my marketing budget is wasted, I just don't know which half. >> Exactly. >> So now we're really able to know which half is working. >> Yeah, so I mean, one of the more interesting things that I've been working on recently is using what's called Markov chains, which is a type of very primitive machine learning, to do attribution analysis, to say what actually caused someone to become a new viewer of theCUBE, for example. And you would take all this data that you have from your analytics. Most of it that we have, we don't really do anything with. You might pull up your Google Analytics console, and go, "Okay, I got more visitors today than yesterday." but you don't really get a lot of insights from the stock software. But using a lot of tools, many of which are open source and free of financial cost, if you have technical skills you can get much deeper insights into your marketing. >> So I wonder, just if we can for our audience... When we talk about machine learning, and deep learning, and A.I., we're talking about math, right, largely? >> Well so let's actually go through this, because this is important. A.I. is a bucket category. It means teaching a machine to behave as though it had human intelligence. So if your viewers can see me, and disambiguate me from the background, they're using vision, right? If you're hearing sounds coming out of my mouth and interpreting them into words, that's natural language processing. Humans do this naturally. It is now trying to teach machines to do these things, and we've been trying to do this for centuries, in a lot of ways, right? You have the old Mechanical Turks and stuff like that. Machine learning is based on algorithms, and it is mostly math. And there's two broad categories, supervised and unsupervised. Supervised is you put a bunch of blocks on the table, kids blocks, and you hold the red one, and you show the machine over and over again this is red, this is red, and eventually you train it, that's red. Unsupervised is- >> Not a hot dog. (Laughter) >> This is an apple, not a banana. Sorry CNN. >> Silicon Valley fans. >> Unsupervised is there's a whole bunch of blocks on the table, "Machine, make as many different sequences as possible," some are big, some are small, some are red, some are blue, and so on, and so forth. You can sort, and then you figure out what's in there, and that's a lot of what we do. So if you were to take, for example, all of the comments on every episode of theCUBE, that's a lot, right? No humans going to be able to get through that, but you can take a machine and digest through, just say, what's in the bag? And then there's another category, beyond machine learning, called deep learning, and that's where you hear a lot of talk today. Deep learning, if you think of machine learning as a pancake, now deep learnings like a stack of pancakes, where the data gets passed from one layer to the next, until what you get at the bottom is a much better, more tuned out answer than any human can deliver, because it's like having a hundred humans all at once coming up with the answer. >> So when you hear about, like, rich neural networks, and deep neural networks, that's what we're talking about. >> Exactly, generative adversarial networks. All those things are ... Any kind of a lot of the neural network stuff is deep learning. It's tying all these piece together, so that in concert, they're greater than the sum of any one. >> And the math, I presume, is not new math, right? >> No. >> SVM and, it's stuff that's been around forever, it's just the application of that math. And why now? Cause there's so much data? Cause there's so much processing power? What are the factors that enable this? >> The main factor's cloud. There's a great shirt that says: "There's no cloud, it's just somebody else's computer." Well it's absolutely true, it's all somebody else's computer but because of the scale of this, all these tech companies have massive server farms that are kind of just waiting for something to do. And so they offer this as a service, so now you have computational power that is significantly greater than we've ever had in human history. You have the internet, which is a major contributor, the ability to connect machines and people. And you have all these devices. I mean, this little laptop right here, would have been a supercomputer twenty years ago, right? And the fact that you can go to a service like GitHub or Stack Exchange, and copy and paste some code that someone else has written that's open source, you can run machine learning stuff right on this machine, and get some incredible answers. So that's why now, because you've got this confluence of networks, and cloud, and technology, and processing power that we've never had before. >> Well with this emphasis on math and science in marketing, how does this change the composition of the marketing department at companies around the world? >> So, that's a really interesting question because it means very different skill sets for people. And a lot of people like to say, well there's the left brain and then there's a right brain. The right brains the creative, the left brains the quant, and you can't really do that anymore. You actually have to be both brained. You have to be just as creative as you've always been, but now you have to at least have an understanding of this technology and what to do with it. You may not necessarily have to write code, but you'd better know how to think like a coder, and say, how can I approach this problem systematically? This is kind of a popular culture joke: Is there an app for that, right? Well, think about that with every business problem you face. Is there an app for that? Is there an algorithm for that? Can I automate this? And once you go down that path of thinking, you're on the path towards being a true marketing technologist. >> Can you talk about earned, paid, and owned media? How those lines are blurring, or not, and the relationship between sort of those different forms of media, and results in PR or advertising. >> Yeah, there is no difference, media is media, because you can take a piece of content that this media, this interview that we're doing here on theCUBE is technically earned media. If I go and embed this on my website, is that owned media? Well it's still the same thing, and if I run some ads to it, is it technically now paid media? It's the thing, it's content that has value, and then what we do with it, how we distribute it, is up to us, and who our audience is. One of the things that a lot of veteran marketing and PR practitioners have to overcome is this idea that the PR folks sit over there, and they just smile and dial and get hits, go get another hit. And then the ad folks are over here... No, it's all the same thing. And if we don't, as an industry realize that those silos are artificially imposed, basically to keep people in certain jobs, we will eventually end up turning over all of it to the machines, because the machines will be able to cross those organizational barriers much faster. When you have the data, and whatever the data says that's what you do. So if the data says this channels going to be more effective, yes it's a CUBE interview, but actually it's better off as a paid YouTube video. So the machine will just go do that for us. >> I want to go back to something you were talking about at the very beginning of the conversation, which is really understanding, companies understanding, how their marketing campaigns and approaches are effectively working or not working. So without naming names of clients, can you talk about some specific examples of what you've seen, and how it's really changed the way companies are reaching customers? >> The number one thing that does not work, is for any business executive to have a pre-conceived idea of the way things should be, right? "Well we're the industry leader in this, we should have all the market share." Well no, the world doesn't work like that anymore. This lovely device that we all carry around in our pockets is literally a slot-machine for your attention. >> I like it, you've got to copyright that. A slot machine for your attention. >> And there's a million and a half different options, cause that's how many apps there are in the app store. There's a million and half different options that are more exciting than your white paper. (Laughter) Right, so for companies that are successful, they realize this, they realize they can't boil the ocean, that you are competing every single day with the Pope, the president, with Netflix, you know, all these things. So it's understanding: When is my audience interested in something? Then, what are they interested in? And then, how do I reach those people? There was a story on the news relatively recently, Facebook is saying, "Oh brand pages, we're not going to show "your stuff in the regular news feed anymore, "there will be a special feed over here "that no one will ever look at, unless you pay up." So understanding that if we don't understand our audiences, and recruit these influencers, these people who have the ability to reach these crowds, our ability to do so through the "free" social media continues to dwindle, and that's a major change. >> So the smart companies get this, where are we though, in terms of the journey? >> We're in still very early days. I was at major Fortune 50, not too long ago, who just installed Google Analytics on their website, and this is a company that if I named the name you would know it immediately. They make billions of dollars- >> It would embarrass them. >> They make billions of dollars, and it's like, "Yeah, we're just figuring out this whole internet thing." And I'm like, "Cool, we'd be happy to help you, but why, what took so long?" And it's a lot of organizational inertia. Like, "Well, this is the way we've always done it, and it's gotten us this far." But what they don't realize is the incredible amount of danger they're in, because their more agile competitors are going to eat them for lunch. >> Talking about organizational inertia, and this is a very big problem, we're here at a CDO summit to share best practices, and what to learn from each other, what's your advice for a viewer there who's part of an organization that isn't working fast enough on this topic? >> Update your LinkedIn profile. (Laughter) >> Move on, it's a lost cause. >> One of the things that you have to do an honest assessment of, is whether the organization you're in is capable of pivoting quickly enough to outrun its competition. And in some cases, you may be that laboratory inside, but if you don't have that executive buy in, you're going to be stymied, and your nearest competitor that does have that willingness to pivot, and bet big on a relatively proven change, like hey data is important, yeah, you make want to look for greener pastures. >> Great, well Chris thanks so much for joining us. >> Thank you for having me. >> I'm Rebecca Knight, for Dave Vellante, we will have more of theCUBE's coverage of the IBM Chief Data Strategy Officer Summit, after this.

>> Announcer: Live from Washington, DC it's theCUBE. Covering .conf2017. Brought to you by Splunk. >> Welcome back here on theCUBE we continue our coverage of .conf2017 here at the Splunk event with about seven thousand plus Splunkers. Along with Dave Vellante, John Walls. I like that Splunkers. >> You a Splunker? >> Not sure I'd be qualified. >> I'm learning how. >> I'm not qualified. >> to be come one. >> I don't think. >> I think we're kind of in the cheap seats of Splukism right now. Certainly there's a definitely vibe and I think that there's this whole feeling of positivity amongst our community right, that is to get a sense of that here. >> Dave: Hot company, data centers booming. >> It's all happenin', so we are in the Walter Washington Convention Center day two of the convention. We're joined now by of Stephen Hunt who is the CIO of an organization called Team Rubicon. Stephen thanks for joining us here on theCUBE. Good to have you Sir. >> Thank you for having me. >> And CTO too correct? >> And CTO. >> So first off let's talk about Team Rubicon. Veterans based organization, you team up with disaster emergency responders, first responders, to come in a crisis management times of disasters I'm sure extremely busy right now. Gave birth to this organization back in 2010 after the Haiti earthquakes. So tell us a little bit more about your mission and what you're doing now I assume you're up to your ears and all kinds of work, unfortunately. >> Yeah so our, just speaking to our mission, our purpose is to leverage the skills a military vets and first responders in disaster. The capacity and skills that vets bring after active duty in the in the services, is remarkable resource that we've learned to tap to help people in need around the world. This is one of our or this is our busiest time right now. You know we're responding in the greater Houston area in Florida, the Florida Keys, British Virgin Islands, Puerto Rico, Mexico, Turks and Caicos. And it's just it's incredible what we're able to do and in aiding people from the point of search and rescue to recovery and resilience, there's a broad spectrum of activities that are our people engage in to make that all happen and across a diversity of locations. It's been truly remarkable and challenging in ways that we never imagined right now. >> And I should add that you're a veteran yourself. Paratrooper, 82nd Airborne, a reservist, but also have an engineering background MIT Lincoln Laboratories for 20 some plus years. So you've got this interesting combination of experiences that have brought you into a company that is also a beneficiary of the Splunk for Good Program part of the Splunk pledge Program. So are you bring a pretty interesting portfolio to the job here Stephen. >> It's a bit unusual I do understand how a lot of the world works, not because I'm the smartest person in the room, I have a bit of a head start there's a lot of experience there and so bringing my engineering skills to the field, as well as to the business office and how we operate. And working with companies like Splunk, you know I can see, pretty quickly, what's hard, what's easy. I understand that Splunk needs our requirements in order to deliver product that's meaningful to us and our mission. So tying that all together it is a bit unusual for an NGO to have someone like me around. I got involved simply to help people. When they told me at some point are that we're going to build a business to help people, I said I don't come here to build a business. And it took me a little while to get oriented around the fact that as we expand the brand as we bring it around the globe, it takes a strong business model and a strong technical model in how we project humanitarian aid in austere settings. >> In order to scale right. >> So Tell us more about the organization how large is the organization, you know, where do you get the resources, how is it funded. >> So we're almost a 100% privately funded. So corporations, foundations, individual donors from across the country and across the world. We have about sixty thousand members and these are volunteers in and globally, so how in the world do you do that? Well, it turns out we grew up at about the same time the cloud industry grew up, we've been around seven years. And I would like to say that I'm some kind of genius and I said well we should follow the cloud, it was a judgment call and it was what we could manage. Today we have about thirty five to forty cloud software products that drive everything from donor management, volunteer management, how we deal with our beneficiaries, as well as our employees. And and it's not just about product in mission it's about protection and seeing through what's happening at the company at scale. We have about anywhere from eight hundred to 15 hundred people sign up to join, to become a part of Team Rubicon every week. >> Dave: Every week? >> And we couldn't do that without scale, without cloud technology it's been truly remarkable. >> And the volunteers or or all veterans, is that right? >> About 80, 75 to 80% military vets, first responders and others. >> Okay, so they just they make time to take time off from work, or whatever it is and go volunteer. They'll get permission from whom ever. Their employers, their wives and husbands. >> The payment that we provide is a renewed sense of purpose. When you know you take off the uniform there is a certain part of your identity that goes on the hanger and people don't see in you that's missing and we get that back. Through service and being around like minded individuals it's just amazing when we bring all of our people together and they align to work to this common mission. >> So in the in the take a recent examples in Florida and Houston are they predominantly people that are proximate to those areas? Are you are you having to fly people in, how does that all work? We literally have people coming in from all over the world. Generally, with the way we run operations to keep them cost effective as we look first within 450 miles of an affected area, and and bring in people in close proximity. If there is need greater than that, then we expand the scope of the distance if you will. Logistically, where we bring folks in. we're all the way now to bring in people from Australia, Norway, Canada, as well as the UK and working alongside each other seamlessly and that's really due to our standards and training. You can imagine when we scale it's not just the technology but it's how you use it, in the field, and in the business environment in the office. >> Are they responsible for figuring out where they sleep, where they eat, I mean how does that all work. >> Yeah, we set that up, in the early days we kind of took care of it ourselves, you know we reach into our own pockets and the small groups run around the planet and help people. It was kind of a club, now it's a whole different story. When we're bringing in 500 people a day, we need to know how they're fed, is this safety, security and protection, not just physically, but also emotionally. You want to make sure that we're really looking after people before, during and after they deploy and help people. So we put them up, and typically it's not the Ritz, you know might be a cot in a warehouse somewhere. But I've stayed at hotels with Team Rubicon members and maybe sometimes eight in the room. My old job Wasn't like that, all these guys are fighting to see who's going to sleep on the floor. I mean it's it's a really interesting you know. >> You have very different dynamic I'm sure. So you talk about these global operations expanding what four or five countries you mentioned with thoughts of one larger. I know communications are huge part of that you have a partnership now with a a prominent satellite firm you know in Inmarsat and how is that coming to benefit your operations and does Splunk come in the play with that global communications opportunity? >> Inmarsat and Splunk have been truly remarkable impacting and working toward greater impact in how we deliver aid around the globe. And make a couple of very clear points and deliver a metric here. We're running maybe 15 simultaneous operations distributed across all those areas I just discussed earlier. And historically, in all the time that I've been with Team Rubicon we've always had outages when it comes to communicating with our staff in these austere settings. You know we have to life safety is everything. That's the most important thing on my list, is the welfare of the people I'm looking after, and our employees, volunteers and our beneficiaries. When we can't communicate if something goes wrong it's a problem Inmarsat has set us up with communications gear in such a way that even though running all these operations at our most challenging time, I haven't had one complaint. About not being able to communicate. And what's Splunk is doing, is integrating with the Inmarsat backend to provide us the status of all of that equipment and and so from a perspective where are they all located, what is the status of the you know the data usage to make sure that somebody doesn't get arbitrarily shut off, you know that strategic view of what's happening across the globe. And this was something that we've negotiated or Inmarsat asked us to do, and Splunk is stepping up to take care of that for us so that we can ensure life safety and coordination happen seamlessly. Just one more point about this, if you could communicate with everyone everyday you're planning team isn't sitting idle wondering what it needs to do next. So this tertiary effect, is really driven our planning team to perform in a way that guides material and resources that I didn't really think about, But it's quite remarkable. >> So, you please, I thought you finished, I apologize. >> No, it's OK. >> I'm excited. >> It's fantastic. >> So the tech let's get into the tech side of this. You got SaaS apps, you got logistics, you got comms, you got analytics stuff, you got planning, you got collaboration and probably a hundred other things that I haven't mentioned. Maybe talk about you put your CTO hat on. >> Oh no, absolutely, so one of the things I say to our people, you know the technology is important but people are more important. And and so how we work with technology, its adoption as a CIO is critical. I need to say that when we're provided quality top tier software technologies to support education and training, as I mentioned, volunteer management, information management and security. And they were adopted naturally and they take off like a fire on a dry day, it means Splunk and other companies produced a great product. And we've seen this time and again with our ecosystem. So it's a general statement about the cloud technologies. Many companies have just done an exceptional job at building products that our people can work with. So I don't really complain too much about adoption across the board or struggle with it, I should say. So Google, Microsoft, Splunk, Cornerstone OnDemand, Salamander, Everbridge, Palantir. >> Be careful it's like naming the kids you're going to leave somebody out. So many of these great benefactors. >> Yeah, they're used to it but we work with all and our new COO came in, I apologize, I was CIO/CTO of Team Rubicon USA for about three years and I just moved over to Team Rubicon global to help orchestrate our global footprint. And we've set up licensing and a model for where instances of software are located to meet the legal regulatory framework for doing business internationally. And but the the COO of USA, and I'm so proud of what USA is doing right now, it's just blowing up. I mean what they're accomplishing as the largest Team Rubicon entity. But he looked at me, he said, Steve we got to get rid of some of these software products, and I said well, tell me what you don't want to do and I'll delete it, happy to. And instead the numbers gone up by 10 you know since that conversation. So there's some great challenges with and great opportunities, but as you know when your capacity increases, working with data and information your risk also goes up. So we work hard it impacting the behaviors of all of our people, it doesn't happen in a month or two months it takes years. So that everyone is security minded and making good decisions about how we work with information and data, you know whether it's a collective view provided by a product like Splunk which gives us this global view of information. You know if we have people working in a in a dangerous area and all of a sudden we know where all of our people are we just don't post that up on the open internet right. That's a bad idea just to give you a simple example. Down to the PII of our members and employees. And we're becoming very good at that. And for an NGO that's unusual and we're going to be driving an independent security audit fairly soon, to push it even further with the Board of Directors and executives, and so the business team can make decisions about how what we do technically based on you know liability in business model, right for how we work, but for me, the highest priority's protection of everyone. >> Well, it is a wonderful organization and we sincerely Dave and I both thank you for your service, present and future tense, for your service absolutely. Team Rubicon they will accept contributions, both time and treasure so visit the website Team Rubicon and see what you might be able to do to lend help to the cause, great cause that it is. Thank you Stephen. Back with more from .conf2017 here in DC, right after this.