>> live from Boston, Massachusetts. It's the you covering your red hat. Some twenty nineteen brought to you by bread hat. >> Well, good morning. And welcome to Day three of our coverage here, Right? Had some twenty nineteen. We're live here on the Cube, were in Boston, Massachusetts, and was soon Merriman. I'm John Wall's. Glad to have you with us for our last day of coverage. We're now joined by the SPP. Adele Technologies. Pete. Myka, Pete. Good to see you this morning. And Pete, by the way, is coming with I'm sure song in this heart of smile on his face two and a half hours to get in today. >> It was a long drive in, but I'm here now. I'm excited to be here. This is a great show. And here with great partners. >> Yeah, the tough part's over, right? >> We're in Boston, not in Vegas, so that you gotta be a little >> bit there some consolation. Let's just first off, let's paint the umbrella here a little bit about the overall partnership between Delhi, um state right and red hat and how that's evolved. And currently, word stands with all the new releases I've heard about this week. >> Yeah, it's been a great partnership for almost two decades now, right? Della and red hat of working together on a lot of different products from ready stack are ready architectures and ready nodes to software sales. Support customer engagements has been a tremendous partnership for twenty years, and I expect to be going for another twenty years. >> All right, that's digging a little bit walking through the stacks, if you Well, so we understand. You know, Red Hat is an operating system, you know, long history working on, you know, all the del platforms. You've got the converge environment. Where where does red hat fit in? What pieces of there ever broadening portfolio fit in? >> Right. So really, on the ready solution side of the world, which is another part of the products I managed for Del. So within the ready solutions environment, we worked with red hat on open stack way. Deliver hardened, supported open stack products to both. Tell Cohen Enterprise Markets on that. We also deliver open shift and already noted ready solution environment so we can deliver that container men's container environment for those same enterprise and serves customers. >> Yeah, so if you know, the Cubans at, you know Del Technologies World last week and at that show in here, I >> saw a sizable >> break out for telecommunications. You know, we could talk a lot about Enterprise, but, you know, telcos got some certain special requirements needed to make sure it's certified for certain things and, you know, gotta be tested out. Maybe we talk a little bit about what those customers are looking for and why that match you red hat makes sense. >> Sure mean Telco really wants to have control over their environment they wantto have. Open source is a great technology for Tell Cole, right, and they love taking the technology customizing for their environment, reselling components to their end users in open stack from Red Hat is a perfect fit for that market. And so again, we deliver that and the hardened solution on top Adele Technologies on Del Partridge servers deliver that to the telco market and provide them the tools and the capabilities they need to deliver the solutions to their customers. >> What what is it? Let's go dive in just a little bit. Then about those specific traits or attributes, you think in terms of the telecom market goes, you know what is specifically about you think there needs that they find so attractive about open source and what makes them stand apart from other industry sectors. Yet to me, it's controlling >> customization. So rather than taking a packaged app that shrink wrapped in running it like everybody else, they want to get a customized control for their markets. They have certain as to mention they have certain standards and compliance you don't have to deal with. They also want to differentiate within that telecom market. So it's hard to do without having control around the underlying stack. I think those are the big attractiveness around. And then, um, you know that the solution from Red Hat combined with Dellis is such a enterprise quality product for the telecom market, which I think has certain advantages. >> Okay, so you mentioned you know, the ready solutions and open stack piece, and then on top of that, there could be open ships. So that's right, a news, you know, talk to you know, many of the customers, the executive team on the team here, open shift for showing good momentum over thousand customers. So how does that fit in with the solutions you're >> offering well, so we offer a ready solution for open shift this wall, right? And we see that as the container solution for the the market that really wants those open source type products and has a line themselves with red hat in Lenox. And so it's a perfect solution for that. And, you know, we really see Oprah shift as the ability to create a managed environment for containers as we saw from Polish Kino with Over shit for now provides a tremendous hybrid cloud experience for customers at one of my great workloads, both on premises to cloud and back. And so we think that's tremendous technology that we'll add value. And with our hardware technology underneath that we could provide a stack that we think services the market quite well. >> Yeah, it's funny, Pete, you know, you've got a lot of history and I've worked with you for many years on this the ultimate A lot of these technologies, you go back to server virtual ization. You look a container ization in Cuba. Netease. They're like, Well, we want to extract upto, allow the applications to be able to be modernized and do these wonderful things. And I shouldn't have to think about the infrastructure. Right. But we know what the end of the day It lives on something, and it needs to be good talk a little bit of things, like Corinne, eh? Tease. And you know where Del thinks they fit from an infrastructure standpoint compared to communities. >> Yeah. What we want to do is provide the infrastructure that makes it easy to four workloads and applications to preside on, including open shifting cabernets environments. Right? And so, really, what you want to do? And for years, as you say, we've got a lot of history in this. We've been trying to push that complexity and management up the stack. So the hardware and even the virtual ization layer and the container layer becoming afterthought, right? And you know, what I saw from open ship for is that really puts the power back into the application developers and makes it easier to manage and control your underlying harder environment. So, with tight integrations into the open ship community with our del technology Zach, we can provide that sort seamless infrastructure layer that allows the application developers to go do what they need to do not be worried about infrastructure management. >> Do you have any customer examples that might help highlight the partnership? >> Um, no, I >> don't have any good. I >> didn't I'm sorry. I didn't >> know the customer. Well, let's hope out for a little bit. And you talk about hybrid and what that's going to enable there, is that the, uh Oh, here we go for you on this in terms of what's new, What's the latest? I mean, what about the capabilities? You're going to get nowt for what's going to be offered and what is that? That's kind of jumping off the page to you. This is Yeah, this was worth the wait. Well, >> to me, it was all about the management in the automation, the underlying infrastructure just again taking that complexity away from the developers and putting it, um, allowing the application developers tools they need to do to very quickly developed applications, but also migrate them to the proper landing spot and maybe cloud one day and maybe on premises the next. You know, one of the beauties of cloud is is there are classes of applications that may not necessarily fit on a public cloud. You may not know that. Do you? Get there and you want to have the flexibility to push them out, see how they work and bring them back in and open Shift gives you all this capability open shit for yeah, >> eso Absolutely what we hear from customers. It it's not. The future is hybrid and multi cloud. It's today, and the future are voting hybrid and multi class today. To that point, I wonder if you could help us. Just It's not Dell specific, but VM wear made an announcement today that they're supporting open shift for on top of'Em. Where can you maybe t explain where that fits into the overall discussion? >> Yeah, So look, Dell's always writing choices, the customers and we want it we want to be. And we are the essential infrastructure company to the enterprise and commercial environments. And so open shift on VM were just another example of choice and customers. They're gonna have different location environments out there. They're going to run some containers. They're going to run. Some of'em are going to run some native way. Want to be the infrastructure provided for that. We want to work with partners like you had a choice to our customers. >> You know, we've heard a lot this week about flexibility, right on a scale and options and all. And I understand providing choice is a great thing, you know, the customers. But what does that do for you in terms of having to answer to all of that desire? The flexibility? Well, it's it's >> opportunity in this challenge, right? Supporting all these different environments, of course, is a challenge for engineering teams. But it's also opportunity if we want to be. And we are the essential, you know, hardware technology, player in the industry. We have to support all these leading platforms and open shifts. Just example of that. The >> challenge on that side of it. I get opportunity, but you have to develop that expertise We do know throughout your force, and that probably has its own challenges. >> It doesn't mean we have to have expertise only and our own technologies like VM wear, but also open shift and other technologies or red hat technologies. We have to higher and cultivate, um, open source engineers, you know, which is not always easy to find on DH. We have to develop those expertise that know how to integrate those components together. Rights, not just a matter of taking the software and laying on top of the next eighty six architecture and saying it's done way, want Toby to integrate that. So we provide the best experience to the customers. So having that capability to understand what's happening at the hardware infrastructure layer also, what's happening at the virtual ization and container layer is a critical piece of knowledge that we have to. We have to grow and continue to work with >> you. But what about, I mean, as far as the competitive nature of the work force, then I kind of thinking about It's almost like ways. The more people who use that, the tougher it is to get around right, Because so the more people who are moving toward open source, the more which is great. But it also the more competitive the hiring becomes, the training becomes that it does bring with it. Certainly I would say barriers by any means, but a different factor. >> It's a challenge across the entire industry right now, hiring good technical people, and it's not just on open source space. It's an all space is open source is a particular challenge because it takes a certain set of skills to work in that environment. Dell has a philosophy where we are continually looking at university hires and growing from within. We try to hire a CZ. Many new hires, new grads as we can, But the reality is we have to look everywhere in order to try to find those. Resource is very hard to come by, and it's very competitive to get these employees are these candidates. Once you find them, it's hard to get him in the head of environment. >> So it it's interesting. Just step back for a second here last week at your show, it was I opening to see such a nadella, you know, up on stage with Pak else, right? While Microsoft Environments have lived on V EMS for a long time, you know, far as I know the first time the two CEOs have been public scene together fast word to here. And once again we saw touching Adela up on stage with, you know, red hat. It's, you know, for years we think about the industry as to the competitive nature and what's going on and Who's fighting who. Multi cloud. It's not like it's everybody's holding hands and singing, you know, Cooper Netease, Kumbaya. But it is a slightly different dynamic today than it might have been >> is very different in the past. When there are maur infrastructure players, Mohr software players, you could pick your swim lanes. You can compete now, the lines are blurred, and cloud definitely has a lot to do with that. Right and hybrid Multi cloud has everything to do with that, because if your applications going run on eight of us one day on premises the next day in azure the next day you better have tools, processes and procedures that allow those applications the migrate across that multi cloud experience. And so what if forces vendors to do is get together and participate in a cooperative in whatever your favorite word is for competitors working together. But that's really what it is, is we've realized you look a Del Technologies UVM. Where is part of our family? But we're working with Red Hat. What, working with Microsoft and Red Hat, as you see, is doing the same thing. It's necessary in today's market in today's environment that you just have to do that. >> Well, Paul, you mentioned swim lanes. I hope the Express lane is open for you on the ride home. So good luck with that. Thanks for the time this morning, too. Good to see you. It's a home game for you. So it's not all bad. It's not all >> bad. No, this is a great place to be and a great event. I'm glad I could be part of the >> burger. Thanks for being with us. Thank you. Back with more live coverage here. You're watching the Cube. Our coverage, right. Had summat twenty nineteen.

>> Announcer: Live from Las Vegas, it's the CUBE. Covering IMB Think 2018. Brought to you by IBM. >> Hello everyone, welcome to the Cube here at IBM Think 2018. It's our flagship program where we extract the signal noise live entertainment and technology coverage here. Of course we're going to get all the data as well. Inderpal Bhandari, Global Chief Data Officer for IBM is here in the CUBE, CUBE alumni. The chief of the data for the entire company your job is pretty secure right now. Jean Merriman was talking about how data's the center of the value proposition, blockchain and A.I. Dave and I call it the innovation sandwich. You've got job security right now. >> (laughs) I guess you could put it that way. >> (laughs) So, obviously the data, all kidding aside, we've talked before in the CUBE, the importance of data and, you know, we're data driven, we're data geeks. This is a wonderful time to be in this world because the disruptive enabling that's going on with data is really been, I think, underplayed. It's been more of a tech conversation but the business benefits that this enables, I mean, just blockchain alone, what that could do for efficiencies in rewiring the value chains in a decentralized environment. And then what A.I. promises with the use of data to automate value creation, this is pretty spectacular. >> No, I would completely agree with you. I think it's a very exciting time to be in our industry. And, John, I think the challenge though, is what does it mean for the enterprise? If you put yourselves in the shoes of our customers, they're trying to understand, what does this really mean for the enterprise? What's an A.I. enterprise? What are the use cases for blockchain that play in the enterprise? And that's one of the major foci that I have within my organization, you know. And my role within IBM and the Global Chief Data Officer is to create an A.I. enterprise within IBM itself and then use that as a showcase for our customers so they're able to understand, clearly, what the use cases are that make a lot of sense. Because, frankly, IBM looks a lot like some of our customers. You know we are a large enterprise, we've been around for a while and the fits the profile for the large customers that we serve. >> Well, IBM is the perfect melting pot and Petri dish, if you will, to look at the future, 'cause you have legacy, you know, hundreds of years of being in business, so you've been around but you're also pushing the latest technologies. How has IBM been using the tech? Can you give an example, because this is the digital transformation challenge that most existing leaders have. You know, you don't need to be only five years old just to be, kind of, an old relic compared to what's on the table right now, the speed of innovation. So there has to be a constant energy on understanding how to create sustainable tech and business models and have that regenerate self-healing. I mean, this is a new normal that is just hitting us. How do you guys do it? Can you give some examples? >> Yes, no, absolutely. So we've taken the view that we want to transform our key processes within the company. And examples of these processes, they're not typical to us, they're typical of any large enterprise, you know, these could be procurement, supply chain, marketing, research, data. So we've got these end-to-end processes, which we are now transforming through the use of A.I. and blockchain, these kinds of technologies so that we are able to then re-use those as showcases. So in terms of examples of how we are making use of these today, they.. I'll give you some examples that are more, you know, just at a whole process level, for instance, supply chain. Trying to understand what are the risks to our supply chain based on emerging weather conditions, based on emerging political events. Trying to unravel all that and then essentially use that intelligent system to guide us to make the best decisions with regard to supply chain. That's kind of what I would call a process level example. I'll give you one example within data that seems to some extent quite trivial but actually there are literally thousands and thousands of such decision that are made everyday in a large enterprise. So one of the things that we do in my organization is try to understand if a client that we're dealing with is a government owned entity. And since we operate globally and there are rules that regulate how one deals with government owned entities, very important for us to get it right so that we do business ethically. And it's, you know, you might think, 'well that's a simple decision' it's actually quite complicated and a lot of different parties have a stake in the ground on this. You know, the legal department, the sales area. But now, the way the process is transforming is all that input is fed into an intelligence system that has an understanding of what we've done in the past. It can look at the external data, the news feeds that are available about that organization as well as what are the different points of view and then come to an understanding and then finally be able to explain back to us its rationale as to why it considers something a government owned entity or not. So every subject matter expert in the company should be able to make use of this technology. That's what an A.I. enterprise is and there are literally thousands and thousands such people within an enterprise. >> I mean, you're putting real complex data at their fingertips almost as easy as putting numbers on a spreadsheet. >> Inderpal: Yes. >> That's the kind of work that you guys are thinking. >> Yes, the way I would put it to you, it's more in the sense of engaging the subject matter expert in a dialog. So it's like you've got this intelligent system, Watson, that's working with this subject matter expert, taking them through the whole scenario. They come in with a use case in mind, I used the example of government owned entity or a risk insight for supply chain, they're coming in with a use case in mind, the system is guiding them through. Here's the internal data that's relevant. >> Yeah. >> Here's the external data that's relevant. Here's how you can link them. Here are the insights that you can draw from. So it's kind of a two-way street but it just ends being a much more accurate decision made much more quickly. >> Jean's talk on speech and the theme here at Think 2018 is, putting smart to work. I'll edit that for you in our conversation, putting smart data to work, 'cause that's what you're getting at here. How do you make data intelligent? I know, you know, I mean if you look at it, we can kind of go in the high levels in the clouds and look down and say, 'yeah, you know, that's a great mission.' You know it's hard as heck! >> It's it's very hard. >> So you've got an intelligent data, is it the right data, is it conceptually relevant, is it in the right place at the right time, does the application have the ability to ingest and use the data? >> How reliable it is? All that stuff comes into play and that's where, I think, you know, we've thought of IBM as having a very large portfolio of products that span from, you know, data management, data quality, those kinds of things, all the way to A.I. and Watson and so forth. Think of it more now as bringing together that portfolio into a cohesive data and cognitive framework or data and cognitive backbone for the enterprise. And that's really essentially what we're putting together. >> Inderpal I want to get your thoughts on something. I'm going to kind of go on a tangent since it just popped in my head. I wrote blog posted in 2007, way back in the day, 10 years ago, that said data's the new developer kit. And it's kind of a riff on that data's going to be the software. So we're seeing that now. I interviewed Rob Thomas earlier where he was talking about data containers. We're starting to get to that level with these Kubernetes and these cloud technologies, you now have new models emerging around data where people want to act on data, whether as a subject matter expert or developer. They are essentially develop users. So data's got to be programmable, it's got to be accessible. How do we get to a world where it's being developed on in a seamless way? Just like software's developed on. 'Cause most of the software, 90% of most software is open source, only 10%, put in a Linux foundation, is actually raw intellectual property. So you can almost think of data the same way. >> Inderpal: Yes, no no question. >> How does using data in a development context? What's your vision on that? >> So, you know, we have a blueprint to make an enterprise into am A.I. enterprise or a cognitive enterprise and it has four elements to it. One of the elements is actually data for precisely the reasons that you just annunciated. You know, developers, if they have to go off and search for data and try to find it then it's not a productive use of their time. So to some extent you have to bring the data eco system to them and that needs to be part of an A.I. enterprise. That that data is readily available for developers so that they're able to harness that. And so, now you get into all the hard questions, right? How to do you find it? What is the lineage of the data? So you need to have a super catalog enterprise-wide that enables all that and.. >> Hey, we're making up a new category as we speak it's called data ops. Data as code. We have DevOps as infrastructure's code. You know, I've been kind of, I was talking about this a year ago, didn't get any traction with the idea but what was circling in my head was if infrastructure as code, which was DevOps, which is now serverless when we look at the cloud computing as a set of programmable resources, you can almost make the stretch that data as code is a similar nirvana. >> Inderpal: Yes. >> Okay, it's available, I'm not searching for it but I don't need to reconstruct it, I don't need to essentially ingest it, yeah I'm ingesting it as a function, but, in a free-flowing world, what's your thoughts on that? What's your reaction to that? >> Well the way, you know, that's why setting up the central backbone for data and cognition is extremely important. And I think the right way to think about it is as a continuum. So you've got data and then you've got, essentially, API's on top of the data, that may, may be representing certain functions that you're running on the data. You think about that as a continuum because those functions end up with data as a result. Right? So you've got derived data. So, what the backbone needs to be able to do is give developers very quick access to all the raw data, the source data, as well as the derived data in terms that they can understand and it's easy for them to fathom what that is so that they're able to make judgments in conjunction with an intelligent system that guides them. >> Yeah, that's the key thing and that why Jean brought up Moore's law and Metcalfe's law in her speech because she's intimating at two things, faster smaller cheaper, performance improvements. Metcalfe's law is a network effect. Okay, so you know where I'm going with this, right?. So now we're in a network effect gamification world. We see blockchain, we see crypto currency, we see decentralized application developers coming on on board very quickly. So you have a world with token economics is becoming front and center and where I see innovation, certainly ICOs, initial point offerings are scaring me right now, but it is highlighting the innovation and arbitrage of an inefficient capital market, so, I just use that as a use case. But blockchain and crypto currency is an opportunity to create new business models from the enabling blockchain capability. How do you view that? Because we're still talking about data now. If you're freeing up more people to have more time to actually do their job, they're going to create new things maybe new business models and enter interstate token economics combined with blockchain, this is where we really see a lot of great innovation. Your thoughts in this area of token economics. >> Sure, yeah absolutely. So, I think there are two ways to think about it, one is in the transaction of business itself. What you're doing is you're bringing in a stakeholders for a particular business transaction and you're giving them a way to, a distributed way, a distributed way to arrive at the decision, right? As to whether or not to move forward. So, distributed consensus. You're making that very easy and simple of them so that they can rapidly reach a decision and make their decision, whether they're going to put in money, take out money et cetera. That's one aspect of it, and we literally have.. >> And by the way, consensus is now a new data source? >> Yes. >> And active real time.. >> Yes. >> Data set? >> Absolutely, it is creating, it is creating a data set, in and of its own right. So, but that's kind of one aspect of it, which is in the transaction of business, making it much more efficient, much faster and so forth. But I think it's also instructive to look at blockchain and apply it in terms of a second reuse to the process of managing data itself. So to the extent you're able to establish identities, to the extent you're able to establish permissions and roles. It's going to make governance of data much easier and much faster and much more efficient. These are typically very hard problems for enterprises to solve but I would say that as you go forward, maybe in this year or next year, you're going to see examples. >> And the opportunity too, is to actually break down some structural barriers. >> Yes. >> With this new technology. >> Absolutely. >> It's the bulldozer of innovation. It's not easy but there is a path. You guys have what, close to a hundred customers in blockchain? >> Yes. >> And it's a data story. Supply chain, blockchain, value chain, chain activities, interesting. >> It's going to just lead to a lot a lot more efficiency and accuracy as we move forward. >> Awesome! Inderpal Bhandari Global Chief Data Officer here on the CUBE, sharing his insights on data. We didn't even get to the good part around social data and graphs and all that great stuff that we love talking about. But more CUBE coverage is going to continue here. Day two coverage of IBM Think. I'm John Furrier, thanks for watching. (electronic music)