>> Narrator: Live from Las Vegas, it's theCUBE, covering Veritas Vision 2017. Brought to you by Veritas. >> Dave: We're here at Veritas Vision, #VtasVision, The Truth in Information. This is a company that was founded in 1983 and has gone through a very interesting history, acquired by Symantec for around 15 or 16 billion dollars and then spun back out and purchased by a private equity Carlyle Group in 2005 for about 7 billion net of cash; it's about a two and a half billion dollar company with a really interesting growth plan, one that involves transforming from what many consider to be a legacy backup company into a multi cloud, hyperscale, data protection, value of information organization. My name is Dave Valente and I'm here with Stu Miniman. Stu! Good to see you. >> Stu: Great to be here with you, Dave. It's interesting, yeah, Veritas Company, I've known for, I don't know, gosh, about 20 years and they kind of went under the radar a little bit, under the Symantec piece and now back at it, but you know gosh, felt like a time warp hearing about like Netbackup, you know? A product that you know well, entrenched in the market, has lots of customers, so you know, in talking to the people here, people on board Veritas, some, you know, very veteran to the company, a lot of new faces though, and you know, they say it's energy, innovation, bringing as Bill Coleman who we're going to have on shortly, it's about the software-defined, multi cloud, hyperscale word so you know, A for hitting all the buzzwords and excited to, in the next two days, to kind of dig in and see where the reality is. >> Dave: Yeah, and you know, Stu, you know me, Stu. I like to look at the structure and the organizational structure and the market caps and things like that, but I always felt like, you know Veritas kind of disappeared under Symantec's governance and now, it is breaking out. I love the new private equity play, I want to hear from Bill Coleman about that, what the relationship is with Carlyle, you know it used to be that private equity would come in and they would just suck all the cash out of a company, I mean the classic example was ZA, right? They would maybe do some acquiring companies, they would maybe buy cashflow positive companies, take on more debt, suck all of the cash out and leave the carcass. That's not the new private equity way. We see that with Riverbed, we see that with Infor, VMC, and many, many others have said, you know what, the public markets aren't going to give us the love that we need, we're going to go private, we're going to get a deal on the company, we're going to invest in that company, invest in R&D, build the asset value of that company, maybe even in some cases do acquisitions, grow it, and then maybe do another exit, and that is a great way, a better way in fact, for these private equity firms to really cash in and I think Veritas is an interesting asset from that regard. >> Stu: Yeah, absolutely, I think back, you know, Dave, when I worked at EMC, you know Veritas was one of those competitors that EMC was like, we got to keep an eye on them. Veritas would put out, you know, billboards and have people running around in shirts that said No Hardware Agenda. One of the reasons I think that Veritas also disappeared a little bit under Symantec, is while they were great for lots of environments, they didn't really hit hard that wave of virtualization. Interesting thing is that, you know, EMC bought VMware, everybody knows, but the company that almost bought VMware was Symantec, and lots of us say, what if? What if Symantec had bought Vmware, would they, as a software company, really kind of squash that, you know, could Veritas have then really, integrated very deep here, and now as, Dave, you and I were at the Veem show earlier this year, and they said Veem and VREN, you know, the tenures of virtualization, and now hopping on multi cloud, well, you know, a lot of that message I hear from companies like Veem, companies like NetApp, you know, software-based storage companies, if you're not living in that multi cloud world, you know, what is your future, so. >> Dave: Well, to your point. >> Stu: Microsoft and Google, Amazon, and how those all fit. >> Dave: To your point, with no hardware agenda, Veritas was always viewed as the company with that sort of open software glue to bring together the data management pieces, and as I said, it sort of got lost over the last several years under Symantec. When you hear the keynotes this morning, you hear a story of information, information value, leveraging that information, information governance, a lot of talk about GDPR, obviously a lot of talk about backup, multi cloud, really an entirely new vision from the brand that has frankly become Veritas over the last decade, and new management really trying to affect that brand and send a message to customers that we hear you, that we're self-deprecating, talking about their UX not being what it should be, listening to customers, and putting forth the vision around not just the backup, but data management, now, that's always been the Holy Grail. Can you use that data protection backup corpus of data to really leverage that, to turn information into an asset, that's something that we're going to be unpacking all week with executives, partners, customers, analysts and the like. Last thought before we get to our next guest. >> Stu: Yeah, Dave, absolutely, you know, a bunch of new products are out there, it's that balance of how do they build off of their brand, all of their customer adoption, and now they have a lot of new things going on, so how do they fit in that environment, how do they differentiate, because everyone's trying to partner with the mega clouds, and it's not just the big three that we talk about. IBM and Oracle are two big partners that Veritas is talking about here, and something like hyperconverged infrastructure, Veritas has a play there. They came out with an object story, you know, you're asking me like wait, is this an array, or is it, well no, it's Veritas, it's software, it's always going to be software. Joseph Skorupa who was giving one of the super sessions, we're going to have him on to say your infrastructure does not differentiate you, it is your data, and that is what they want to highlight to the top. I think a message that we in general agree with, and looking forward to digging into it. >> Dave: Okay, so we'll be here for the next two days and what we like to do in theCUBE is what we hear in the messaging, and then we like to test that messaging, poke at it a little bit with the executives, talk to the customers about it, see how well it aligns, and then opine on where we think this is going, but if you were at Vmworld, you knew that data protection was the hottest category, it's an exploding area, a lot of dynamism, because it's all about the data, so we'll be talking about that, digital business. Keep right there everybody, this is theCUBE. Veritas Vision, #VtasVision. We'll be right back with our next guest, right after this short break. (electronic music)

>> Announcer: Live from Washington DC, it's the Cube, covering .NEXT Conference. Brought to you by Nutanix. (electronic music) >> Welcome back to .NEXT everybody. This is the Cube, the leader in live tech coverage. We go out to the events and extract the signal from the noise. My name is Dave Vellante, and I'm with my cohost, Stu Miniman. This is day two of .NEXT. Dr. John Bates is here. He's the CEO of TestPlant, and author of Thingalytics. Sir, welcome to the Cube. >> Thanks. >> Nice to have you on. >> Nice to be here. >> Thingalytics, everybody's talking about things. >> This thing, that thing, the refrigerator, the iode things. What's Thingalytics? >> Well, things, i.e. connected devices, sensors and so on. They're not very interesting unless you actually do something with them. So you search through all that data that's coming out for the opportunities and threats to your business, for example, and then you act on it, while you've got time and perhaps, beat your competitor. So, Thingalytics is about smart, big data analytics, and the internet of things coming together. >> Okay, and what's the premise of the book? >> Well the premise of the book is, you know, everybody thinks, I mean if it's one message from it, it's IoT is not so hard to get into. So get started. You know, start small, and here's some lessons of how you can do it. And here's some stories from different industries of how thought leaders, you know, like Coca Cola, or GE, or many different companies, Medtronic, in different industries have actually got started and really been extremely disruptive in what they've done. >> And is this getting started, is this all for companies, or are you seeing individuals that can also participate? >> You know, I do have a chapter in there about the Smarthome. So, obviously that's the aspect where the individual is going to come. But you know, I think it's really the real winner in this will be the industrial and the enterprise, Internet of Things. I guess that the key message is for business leaders. >> Do you think that given that there's, the internet of things requires things, and there's so many things that are installed by these big, industrial companies that the whole IoT thing will be maybe less of a disruption than it will be an evolution of companies like GE, and Siemens and Hitachi, and guys like that. Is that a reasonable premise, or will we see a whole new wave of companies? Certainly we'll see startups come in, but will they attack these big industrial giants, that have been around for a hundred years? >> You know, this is a really great question, and I think that, at the moment, the opportunity is in the hands of the big buyer. You know, keynoting at .NEXT, Bill McDermott coming in to do his presentation. I sold my IoT platform company to SAP. And why, for example has SAP got an amazing opportunity? Because they've got all these applications, they've done an amazing job of taking ERP and adding a whole load of applications: financial planning, supply chain, business networks. But those applications model the real world. But they're not connected to the real world. So what happens when you take a model of a financial model about the value of a factory or a mine, and connect it to the real world. Suddenly, it's not theoretical. It actually is calculating in real time, the value of those assets. The supply chain is really about that. So, SAP is an unbelievable opportunity. IBM has an unbelievable opportunity. GE has an unbelievable opportunity. But it's going to be how they execute, and is someone going to come in, and do something unbelievably disruptive we haven't even thought about. So, those guys need to make all the running right now to really protect themselves. >> I wonder if you could comment on this. I see some of the execution risks as what Jeffrey Immelt said, "I went to bed an industrial giant," "and woke up a software company." >> John: (laughs) Yes. >> Wow, it's hard to be a successful software company. So, is that one of the many execution risks? Are there others? >> I think you're absolutely right. I mean, if you take GE for example, my friend, Bill Ruh. He's the chief digital officer, the CDO of GE Digital. >> Dave: We know him, yeah, sure. >> Yeah, he's awesome. Completely new business, but it's really hard. I think that's taken longer than they expected to build up that Predix platform. And are they going to be the people, it depends what business you're in. If you're the business of buying aircraft engines, then rather than buying an aircraft engine, you want to buy engine as a service. So that's the kind of the thing that maybe you'll buy from GE, or maybe it's one of GE's partners and GE provides the infrastructure. But I think they've learned that's really much harder than they thought. And I think everybody's sort of discovering that. It's not so much the thingalytics, I've realized, it's the thingonomics, the economics of the internet things. That's the really important thing to get right. >> We actually worked with GE when they were coming out with the Industrial Internet, and we did a lot of interviews. There's some of these barriers that we're going to hit along the way. As a matter of fact, at Wikibon, our team that works on it, they call it the Internet of Things and People because there's so much that needs to happen to be able to move forward. Some of them are just old industrial things, some of them are regulations, some of them are the mindsets. How do you see some of these, what do you see as some of the major barriers, and how do we knock them down to be able to accelerate this even more? >> Absolutely. Well, first, you're absolutely right. One of the key barriers is a cultural barrier, or a, oh, that's just too hard, getting back to why did I write Thingalytics. And I think it's a question of people have just got to get started, not try and boil the ocean, and try and get some successful projects going. But definitely there's a cultural thing, and you just have to get those people together that think differently. And there's a reason why this new role of the Chief Digital Officer was created, but you can have many Chief Digital Officers throughout your company, just sort of get them together with that thought. One of the other things I can bring up that is really, really hard and why I went from being in the core of the IoT platform world into a company that's a software testing company, when you're going to launch this stuff, how do you, de-risk it, how do you make sure, in this world where there's all these sensors at the edge, all these strange mobile devices on the front end, and the cloud in the middle, how do you make sure you test that? It's a really complicated distributed architecture, that requires completely new technology. You don't even own the code, so how do you test that? So there's a whole load of issues there, but I think you have to put at the heart of it, think differently, think digitally. >> So what's the company you sold to SAP? Tell us about that. >> So the company's called Plat.One, and it was one of the leaders in platforms, software platforms, to enable Internet of Things application. So the idea is that you're going to build an Internet of Things application. You could start and hardwire, start writing some code and hardwire against all these devices and sensors, but then you start shipping your applications. What about if you made the wrong decisions? What about if you spent years just writing all the integrations to your factory floor, or your logistics networks? So, there's a whole load of common protocols out there, in machine to machine, and they call it a new Internet of Things protocols. Plat.One, new and could talk to all these protocols and make machines talk to each other. It could virtualize that, so that you disconnect those protocols from the application you write. So you're modeling things like, in a Smart city, truck and streetlamps, rather than bits and bytes. So then when you change the implementation from one city to another, you're future-proofed. And then graphical tools to model and plug them together, and a platform that manages microservices at the edge and the cloud. So you're managing an adaptive platform that you can place logic, depending on what it is. And that enabled SAP to rapidly roll out ITOs. >> And your company had customers? >> Yeah, a lot of customers, people like, you know, a great customer, Pirelli. Pirelli, obviously a tire manufacturer as you know them, but what they can do, if they plug sensors into their tires and have telematics boxes on tops of trucks or vehicles, suddenly they can go to the fleet management markets and sell them big data analytics because they know where the trucks are, they know how they're being driven, and what's more, rather than selling you a tire, they could lease you a tire as a service because they can track it, they know how much use you've got out of it. Unbelievable new thingonomic models. So, that's an example, flextronics, T-Systems, we had a whole lot of interesting smart cities using it, logistics, manufacturers. So yeah, it was a great, but early stage company, and you have to ask yourself the question, can you, as a small company, win, or would you be better off partnering with an SAP with that unbelievable reach? >> One of the things, I've got a networking background, we hear all these new protocols and the maturity there, there's the security risk there. I hear the fleet of trucks that was like, oh wait, I might turn off these sensors or do something malicious. The surface area has just grown by orders of magnitude. How do we address this as the industry? What is some of the advice you're giving for this? >> You're absolutely right, 'cause when we were talking about the issues earlier, that's a corker, isn't it, you know, the security of it. And as a Tesla owner, it was great when hackers tried to hack into the Tesla and they couldn't. All they could do was make the horn go beep. Which you can do from your app on your phone, anything that was publicly there, but couldn't take control of the car. That was great, that was nice. But with all this highly distributed model, you've got to be able to have end-to-end security. So in Plat.One for example, we had the ability to have role-based, end-to-end security right from the application to the device. And that was part of the platform, so you got that for free. But you've got to make sure that's the case in your applications. >> What's the opportunity for jobs in the growing IoT economy? >> You know, IoT giveth and IoT taketh away. (Dave laughs) We're all thinking let's bring more jobs back to America, which is a political thing at the moment. But are these jobs are going to be replaced by robots? I mean, is there a global issue, which is, are these jobs going to be replaced by robots, and by algorithims? The answer is yes, but on the other hand, are more jobs going to be created? Are people going to become much more productive? So I think humans are going to become more productive, for sure, for things like smart factories, smart cities, and life's going to get better in smart cities, but yeah, we're also going to lose jobs. I draw an analogy to trading, financial markets trading, where we used to have traders in the pits waving pieces of paper, then it went to Bloomburg terminals where people entered their trades automatically, then it went to algorithmic trading and high frequency trading where algorithms run it. Still humans involved, but less and less. But the humans are more productive and more coordinated. >> Hey, what if we put a 30% tax on all IoT-related initiatives, that would help preserve jobs. (John laughs) So tell-- >> Wouldn't slow down innovation or corporate profit or anything like that. >> Hey, here's an idea for you, Since we're in Washington I thought I'd throw out some good ideas. >> (laughs) Yes, exactly, very topical. >> So, tell us about your software testing company, TestPlant. >> So, the reason I was really excited to join TestPlant is there's this new world, you put IoT together with the mobile world and the cloud world, and you have the world of digital. How do you make sure that in this new digital enterprise that everybody's going to compete in, that you're, how do you make sure you're doing well, and how do you make sure your stuff works, and how do you make sure you're beating your competitors? So, TestPlant's all about end-to-end testing of the digital experience. It's taking testing to a new level, 'cause if you think about testing, it used to be about, does your code work? Now, it's about, are you offering up an unbelievable, delightful digital experience to your customers, because testing now has become a profit center. It's the differentiator between you doing an amazing job of launching an app and getting five stars in the app store, or crashing and burning because something's gone down, or there's a usability issue or there's a problem. So that's what we do, we test applications using artificial intelligence through the eye of the user, we actually, our algorithms actually use the applications and connect to the APIs and can take control and automate the testing process and discover these business metrics and show customers what good really is. >> So John, you were the founder of Plat.One, is that right? >> So I was an early joiner of Plat.One, I was the CEO, I wasn't the founder, we have two amazing founders. >> Okay, but you helped do the initial raise? >> Yes, exactly, and I took it from an early interesting technology to the company that got bought by SAP >> Made it viable, and sellable, you're an investor, I heard you say. >> John: Yes. Okay, now you're an author, you're CEO now of an more established company, right? >> John: Yes. >> Jack-of-all-trades here, well, maybe that's not a fair term, but you do a lot of different things. What are your thoughts on which things you enjoy the most, where do you see all of this headed? >> Well-- >> Polymath is the word I was looking for. (John laughs) >> Well, I started off actually as a professor, a university professor, and I took some of my research and started my first company. I loved building a start-up from scratch, and taking that as a first streaming analytics or real-time analytics company, and I then spent over a decade as a C-level executive in public software companies. But I haven't had so much fun as what I'm doing right now. It's beautiful, it's sort of mid-sized, really great private equity, backers, the Carlyle group, so I love what I'm doing right now, it's definitely my favorite gig, so far, I think that's the nice sweet spot for me. >> That's great, well, John, we love having big brains in the Cube, Stu and I, and it rubs off a little bit, at least we think it does, so thanks very much for coming on. >> John: Thank you gentlemen. >> You're welcome, alright, keep it right there, buddy. We'll be back with our next guest. We're live from Nutanix NEXTconf, this is the Cube.