>> From Boston, Massachusetts, it's The Cube, covering WTG Transform 2018. Brought to you by Winslow Technology Group. >> Welcome back to The Cube here at WTG Transform 2018, I'm Stu Miniman and happy to welcome to the program, a first time guest, Claude Lavigne, who's the director of product management and servers at Dell EMC. Claude, thanks so much for joining us. >> Thank you, Stu. >> All right, so I had David Singer on this morning, who is from the EMC legacy side of things >> Yes. >> talking about storage, so you're from the legacy Dell side, if we will. You know we're working on servers. So tell us a little bit about your background and what you work on these days. >> So yes, so I'm doing planning for several powers. I've been on the server team for about 18 years. So, all the way from the beginning to now I'm #1 in the world, so it feels very, very good after 18 years. But yeah, that's why we do it. So I'm based in Austin with the product group over there and our role is to optimize and plan the best possible road map and portfolio of servers for rack towers and module. >> Yeah, it's funny, I remember back, you go back 5-10 years ago >> Yes >> and some people were like: wait, Dell does servers? You know, aren't they, you know, here's a Dell laptop sitting in front of me, and it was like Dell's done a lot of servers. I mean, I remember when Dell's Blade server first came out. A lot of pieces, but you know, so get us at a high level. You know, what's Dell's position in the marketplace these days? >> I mean, #1, but also to me, at the profile level #1, but at the platform level, we have one rack, the rack, the R740, our mainstream rack. It's the #1 server sold in the world. So, we're #1 profile, even at the platform level, and the 740 is used across, it's kind of a bedrock, it's used for as a server, but also in all of the EMC solution. It's used for virtualization, VDI, so that platform is kind of the, it's doing very, very well these days. >> Yeah, it's one of those things: see, people sometimes forget that a server isn't just something that does the compute for, you know, when an operating system sits on it, there's servers in lots of devices. Every year when I go to Dell World, I would see that giant OEM rack, >> Yes. >> and it was servers, OEM storage, OEM, HCI of course all has servers inside of it. And it was one of those things when the acquisition was initially announced of EMC, it was like, well, look, EMC both in their products and bundled with their solutions really pushes a lot of servers >> Yes. >> that didn't get talked about, you know, in the discussion. >> So now it's great for us. We have the full portfolio. I mean, every day you're going to see new announcements. We're going to have the best VFC solution, the best VxRail. We have best in class, you know, performance, and all that, I mean, the big part I mean, it's the research of years and investments and the system management we have at the server level. Because we have a great automation and system management, we're able to kind of reimagine or create profile on our servers, so it can be a VDI server again, but the best VSUN server or the best VxRail server. And all that because we have a great system management engine called the iTrack 9 inside our servers. And that's years of engineering and6 development, but now finally, now you have the hardware on the system management. We get the reconnection from the customers, and I think that's what made us #1. I mean, we see a lot of acceptance in 14G, a lot of demand for our security and system management capabilities. So I think that's the overall solution that help us, I mean, get to the point. >> All right, so Claude actually as an industry the server business is doing pretty well. >> Yeah. >> Especially for the last few quarters. What's driving growth? You're working on the product strategy, you know, what are some of the interesting nuggets in the portfolio? >> All, I mean, so how much we have to call. So the, like I just mentioned, the one year and two year servers but there is a couple pockets on innovations, so that's what we did in the last few months. So, I mean, the first one is, you see different key or card architecture that something to be very interesting not on the AMD, so we're trying to balance the portfolio to really showcase each of the goodness of this architecture. So that's why we launched the full AMD portfolio not a long time ago. Then, the other one is in the full circuit. What's really interesting, something I've never seen in 15 years, more and more people are doing, not on the database, machine learning, AI on full server, they're requiring more chip use and all flash solution within the server to get the best possible performance. So that's what we did, we announced that a month ago at the award and now in the future, it's the, we're moving to kinetic architectures. So we had a preview at the award of our Annex platform that we're going to launch later this year. And that one is really going to take the IT infrastructure to the next level. So, it's designed for the next 10 years of, again, modular, flexible, kinetic architecture that not only can optimize the right balance between compute and storage, but future technology like all flash and in-memory compute with the right fabric. So that's what you're going to see from us. It's going from the traditional rack servers to this advanced, modular architecture for the big design for the next 10 years. >> Claude, maybe give us a little compare and contrast. How is the module architecture different from what we saw on traditional racks or even blade servers? >> Yeah, so the traditional blade servers, I mean the, we don't blade for, I don't know, 10-15 years. And in the past it was, compute and then outer storage will external to a send. It was very traditional, but now with scale out storage, #1, scale out storage and all this HCI solution, customers asking us have very flexible computer and storage architecture. So that's kind of the first step and most of the blade architecture today are out there. It's like storage and compute, but moving forward we're going to go way beyond that. It's, we're going to have blocks of memory and GPU and flash storage, you know, and different cares of, you know, architecture ahead of the traditional storage. And if you look at the modular architecture, nobody else can deal with that today. Annex is going to be the first platform that can handle all that. It's not going to happen in the next three months, but the chassis is designed to be ready for this architecture of the future. Because we have very unique design in the bag. You know, we're getting rid of the traditional midplane that we have in the past and our competition is still using today. So it's going to be much more open to future, flexible, connectivity in the back of the chassis. So, that's why they never asked us to be ready for these next 10 years of IT innovation. >> Alright, so, Claude we're here at the Winslow Technology user event. What kind of feedback are you hearing from Winslow and their customers and what kind of things are you talking to the channel about these days? >> I mean, we've been in this conference for the last few years and we still think it's a great, great poniverse and they are part of what we call the technical council back in Austin. So, they are CTO sits with us on the PG side to help us plan future warmups, so they are very, very close now. And that's what we're doing, I mean, this, we're trying to optimize the portfolio with these guys. But right now, it's mostly the trying to improve the server, I mean, around storage and compute. So what you're going to see us launching toward the end of the year on the storage side. We're going to have a, remember the #1 server mentioned the alt 740, #1 in the world. Again, talking to the Winslow team and their customers, that server is great, but not good enough, so you're going to see us later this year, based on that feedback launching a new, improved version that will still base, use the 740 base, but be even more optimized for HCI and this several story solution. And that's the perfect example of the feedback we're getting from the Winslow team that we're integrating into the roadmap. So yeah, we are here every year because, I mean these guys are very sharp, they are good. >> Claude, last thing I wanted to ask you is, you know, for a very long time when you thought about the server market, it was, let's watch the intel, the tick-tock, the roadmap. So every few months you could expect something happened. That was what drove the innovation. >> Yes. >> What's the cadence today and what's driving innovation going forward? >> I mean, the cadence is getting faster, so for serving planning it makes it a little bit difficult. Also, now you have again you have these two vendors. Before it's really the innovation and I think that's what made us #1 is beyond the server, beyond the two processors and the storage solution. It's how we manage, how we make sure we have the best security end-to-end. So, our system management, the way we can provision servers, make sure we can do the update in the most secure way. The premise, that's kind of what makes a difference for PowerEdge and I think that's why, I mean, it took years of investment from, you know, the pitching team but I think that's what is making a difference, and the differentiation right now. It's like, you know, our servers are not just like any other servers. They're much easier to, much more secure, much easier to manage, you know, through the entire life cycle. So, I think that's the key differentiation is how we manage the server, you know, so not just at the server level, but we have deployments of thousands of servers. So we have a new console called OpenManage Enterprise. We just launched that, I think that was, what, six months ago, and that's the latest and greatest of one too many managements of servers and it's free. I mean, it's, that's another good think about PowerEdge. You can get OpenImage Enterprise for free. >> Alright, well Claude Lavigne really appreciate the update on everything happening in the server world. Lots more coverage. Check out theCUBE.net for everything we're doing, as well as, we actually take some of the key analysis from the shows that we go to, put that in our podcast that's called theCUBE Insights. Find that on iTunes, GooglePlay, Spotify, your favorite podcast player. I'm Stu Miniman. Thanks so much for watching theCUBE. (techno music)

>> Announcer: Live from Las Vegas, it's theCUBE covering Dell Technologies World 2018 brought to you by Dell EMC and its ecosystem partners. (upbeat music) >> Welcome back to the Cube's continuing coverage of Dell Technologies World from Las Vegas. I'm Lisa Martin with Keith Townsend, and we're joined by two Cube alumni. We've got Paul Galjan, Senior Director of Microsoft Hybrid Cloud for Dell EMC, and Claude Lorenson, Senior Product Marketing Manager, Cloud and Enterprise Platform, from Microsoft. Hi Guys. >> Combined Voices: Hi, how are you? >> Welcome back. >> Voice 1: Thank you. It's really great to be here. >> So, we've had almost two full days of talking with customers, partners ... We want to talk to you guys about what's next, what is next, well, we'll get there ... What's new? How about that? With Dell EMC and Microsoft? >> Yeah, so we shipped toward the end of last year, fourth quarter of last year. We went GA, and what's happening is there's an amazing amount of momentum in the enterprise now. We're seeing a lot of interest from the financial sector, from manufacturing, oil and gas. People are really interested in exploring use cases for Azure Stack and also government. Government is also spending up. And we're spending the week here with a ton of great customers and exploring how we can extend their IT business. >> Yeah, we've been very happy with the number of new customers that have joined this platform with Dell EMC. As Paul mentioned, we're seeing some focus on a few verticals in manufacturing, financial services, and, for Microsoft, working with Dell EMC has been a natural because we've worked on a solution like this for quite a few years so it makes the making the sausage part easier when work we work with Dell EMC because we're a trusted partner for quite a while in these solutions. >> We've been making sausage with Microsoft for a long time. (laughter) >> That is a Cube meme for sure. (laughter) So, it's been nine months, there's the ideal of what a product is, and then customers get it, and they start to use it. What have been some of the surprises? Has it been exactly what you guys thought it would be? Or have the customers kind of stretched the imagination to using Azure Stack instead. >> So the thing that surprised me the most is how much our portfolio, at least from a Dell EMC perspective, is how much our portfolio really plays into the decision. And, I'll give you an example, our ISO LAN attach rate with Dell EMC Azure Stack is tremendous, and it's because the inherent the storage density of a hyper-converged infrastructure is what it is, and when you have a multi-petabyte data set that you want to process using cloud types of technologies having an ISO LAN sitting right next to it makes sense. That has surprised me how quickly people have jumped to that with production use cases. >> Keith: It is an interesting concept. >> For Microsoft, the thing that surprised us a lot is the customer that actually get the platform as an enabler of digital transformation the amount of things that they want to do on it is just like mind boggling, so we are constantly asked to add different things to the base services. And, of course, we're doing our best to triage this and prioritize what makes the most sense, but there are the people who gets it, they have tremendous use case very specific for them that Azure Stack enables, so we're on our toes to keep improving the different services that we can offer for Azure Stack. >> Lisa: And you mentioned a number of verticals that seemed to be kind of early adopters here. Are there common use cases among government, financial services, or are you seeing specific use cases to those industries? >> I can talk to that. Gas and mining industry, we see a lot of interest in the disconnected scenarios because of poor latency with the internet. They want to run some of their application that they usually run on Azure, but they want to run it in the mine shaft, for example, or they want to run it in a drilling platform in the ocean. So Azure Stack is an extension of Azure for this so in these kind of industries, the disconnected scenario is very, very big. If you can think of Defense also, if they want to use something in moving vehicle Azure Stack is a great platform for that. >> And it's not just latency, it's just simple data gravity. You know if you have, if you're generating pentabytes of data on a daily basis out on an oil rig, you're not going to be able to get that into W Azure, GPC, or Azure. So you can process it, upload results, filtered results back to Azure for further processing. It's a really common use case. And the federal space is quite big for defense actually. >> So what are the most common services on Azure Stack taking advantage of the petabytes of ISO LAN right next to it as opposed to shipping it back to ... on a truck back to the Azure data center? >> So you want to talk about some of the recent developments for all that? >> You go ahead with all that. >> So what we're seeing a lot of initiatives around is IoT, and those are, that's that very typical data gravity type issue, and it also has it also has compliance implications particularly in the EU. Being able to control where the data is and being able- >> Staying within the border of the country so you don't move it in a data center that is not in your country so Azure become Azure in your country if you don't have your own Azure data centers. And the banking industry in Europe is pretty particular about this, so that's a big vertical for us in Europe. >> Yeah, a lot of finance. >> What about? >> I'm sorry go ahead. >> Oh thank you, sir. I wanted to talk, Claude, to you about what differentiates Dell EMC as an OEM for Microsoft with Azure Stack. >> Well, one thing that differentiates Dell EMC is the fact that they have a broad portfolio of server storage, they have great backup solution, for example, and that's needed in Azure Stack, And, also, let's face it, familiarity. We have been building these integrated systems together for a long, long time. So we know their engineering team, we have a well-oiled machine in terms of testing, so it's easier in some ways there. There's a familiarity in how we work that's quite well-known, and we can take advantage of their portfolio. Like I said, backup is a huge thing for Azure Stack. I mean it's hard to find a better partner for backup than Dell EMC, for example. So, we have a long experience in selling product together. And the client side, the laptop side, we have a long experience of selling Windows Server together, I mean, for years, they've been one of our biggest reseller of Windows Server. So, all this knowledge about Microsoft and how Microsoft works makes Azure Stack simpler to develop with a partner like Dell EMC. >> Okay, can you guys expand upon the advantages of the relationship when it comes to support? Nine months in, there's going to be stumbling blocks, there's going to be challenges, there's just going to be a lot to learn. What has been been a typical customer support experience with two companies? >> So, this really speaks to the learnings that we've had over the years working together. We have jointly, we have worked together on what we call 'Case Exchange API' which allows for ... it goes well above and beyond kind of the typical TSA net case exchange, with that sites, logs. This is API level access into mutual case management systems where we can get visibility into Microsoft's status with a given case and Microsoft can give visibility into Dell EMC's status with the case. And so it makes it so that the customer experience is completely seamless, and they can call, it doesn't matter which number you call for support, it ends up, you end up with a completely seamless experience. It's great. >> And we had years to improve that process and now we have an electronic, automatic ticket exchange and Dell EMC was one of the first partners to really implement this with us, and it's helped tremendously for the customer experience, and, luckily, so far, support hasn't been a big issue on Azure Stack. (laughter) As numbers grow and grow, I'm sure it'll change. >> So, you've been partners for a long time, we've talked about this well-oiled sausage factory (laughter) partners, collaborative ... (laughter) >> That can tweet. You will get tags. >> It is a tweetable moment. So collaboration, visibility, talk to us about the two cloud strategies, Dell EMC's cloud strategy, Microsoft's cloud strategy, how do they align? >> Okay, well, from a Dell EMC perspective, it's a no-brainer, of the big public clouds, Microsoft is really unique in their hybrid cloud approach. There's the Mware approach with AWS and bringing the workload to the cloud. Microsoft is the only major cloud vendor right now bringing the cloud to the work. And it's just a no-brainer from that perspective amongst most cases. >> And for Microsoft? >> Well, our cloud strategy is pretty clear- it's Azure, (laughter) but that part you said. Azure Stack is an extension of Azure. It brings Azure in different scenarios that would not be possible before, and we rely on our trusted, secure and hybrid, hybrid across the board not only with Azure, but with SQL Server, with identity, with security are pillars on these key functions our hybrids across, on premises, and in the cloud. Azure Stack brings this all up for different workloads. So, Azure, we're all in, and it's going well. And Azure Stack as an extension of that bringing in to the customer data center. >> Keith: So, let's talk about this Azure inside of a customer's data center. This is public cloud inside of a customer's data center, expectations change, operations change, technical capability changes, what have been some of the key learnings as customers start to to assume public cloud in their private data center? Like you said, this is a unique approach, this is hybrid cloud like no other model, instead of going inside out, you guys are going outside in. >> Yeah. >> Yeah, I think the biggest the biggest perception change that needs, that customers, it helps that customers learn it early, is that Azure Stack is cloud. Simply because it's residing on your data center floor doesn't mean that it's virtualization and all those concepts go along with it. I'll give you a perfect example, if you have a workload that has some sort of unbalanced, you know, you need a lot of RAM but a little CPU, a lot of IOPs but not a whole lot of capacity, those are things that you capture as part of the re-platforming, the refactoring process, if you're going into public Azure or AWS. That same process needs to be followed for going into Azure Stack because from an operating model perspective it's an identical process. >> So let's talk about what's next. I talked to Jeff Snover again about nine months ago and one of the things he said, one of the advantages of Azure Stack is that it is new, and in being new, you can bring in new services, so customers are there to talk, looking at the cloud, they're going to look at things such as containers, functions as a service, et cetera. What's next for Azure Stack and Dell EMC? >> Claude: I'll talk a little about ... Well, we have a roadmap. It's a public roadmap. You can find it on Azure dot com. So what's next is extending the platform with more and more services. So one thing we have to tell customers is that not all services in Azure run in Azure Stack today. There's a subset. We're expanding that subset. We take input from our partner and customer and prioritizing what we are going to do, but also what's next is things like increased scalability, for example, increased efficiency in terms of virtual density, virtual machine density. Increase the number of regions that you can support, so making it from a one off to a true scale product is one of the things we're focusing on. We're making, we're putting a lot of emphasis on making sure that our customers are happy, so when they deploy Azure Stack, we want to make sure that their experience is good, so we're expending effort on making sure that there's a good way for them to reach out to us, but basically expanding the number of services on the platform is is what's new and what's next. >> So, Claude, last question for you, from Microsoft, we're at the first Dell Technologies World, right, last year with Dell EMC, 14 thousand people here, That's a huge, loads of partners, what are some things that you're looking forward to hearing tomorrow in your session from the Dell Technologies customers? >> I'm interested in learning about their use case, how does it fit their data centers? Because every customer is a little bit different, I had some customer meeting today, Dell EMC has invited me to quite a few customers and hearing what they want to do is really interesting because it can guide which next services, for example, we should implement, so hearing the specific is a very important thing. My experience I've talked at Dell, Dell EMC World for quite a few years, very often, the people who come in these session, they are kind of like rookie. They want to know, they want to learn. The experienced folks, we get to talk to them in the booth, but in the session, we get a lot of rookies, like what is thing, what it is, you got to be conscious of that too. >> Well, thanks, guys, for stopping back by the Cube and sharing what's new with Microsoft Hybrid Cloud and Dell EMC, we appreciate that. >> Thank you. We appreciate the time, look forward to it next year. >> Absolutely! >> Thanks. >> We want to thank you for watching the Cube. We are live on Day Two of Dell Technologies World. I am Lisa Martin for Keith Townsend. Stick around, we'll be right back after a short break. (music)

>> Voiceover: theCUBE presents "On the Ground". (techno music) >> Welcome to a special, exclusive Cube, On The Ground here at Oracle's headquarters. I'm John Furrier, the host of theCube, here with Claude Robinson, Senior Director, Product Management, for conversion infrastructure. Claude, welcome to On The Ground, we are wrapping up a great day of interviews of thought leaders and experts here at Oracle, from Big Data Cloud Machine. All of this is kind of coming together under this converged infrastructure, software in the cloud, big data all kind of connecting in, what's your take on this? How do you wrap this up into a burrito? How do you wrap this thing up and put this together? >> Yeah, so, you know, as everybody said, Big Data is kind of one piece of a bigger puzzle. Customers are looking for a complete solution that they can plug in, and actually just spend time running their business versus going out and building solutions internally. So, you know the old model of going and picking a ton of pieces and vendors of the shelf, spending months putting it together, waiting six to nine months for someone to come back with data that you can analyze to run your business, that doesn't work anymore in today's world. >> We stuff stuff out there, open stack, We see SDN, we see all kinds of stuff in the Cloud, you got Amazon, there is definitely a do it yourself culture out there, certainly on the hardware side, people have been buying servers, buying storage. You guys provide this whole integrated solution, but you don't necessarily have to buy Oracle hardware, but you can run this on that, I mean, so, I mean. Do customers have to buy all of Oracle? What's the ideal configuration for this? >> So basically customers have a choice in terms of what they want to do. Again, the high level thing for the analytics pieces is they basically want to take that data, and make a business decision out of it. And we are giving them the options of doing that where they want, when they want and what platform they want within Oracle. So if they want to do public Cloud, they can. If they want to build their own private Cloud on premise, levering our technology, they can. If they want to go with the old model of a converged system on premise, they can. Again, we are letting them do that, and it's a system that is really easy. It works across all three areas, and it is basically just plug and play. >> One of the things that is interesting about this big data appliance that we were talking about earlier today, one thing I think is attractive about it is that it take the benefits of Oracle, if you are an Oracle customer over at Oracle Database, you know what you're talking about, you know what you have there. It's got value. But you don't have to buy Oracle, to connect to Hadoop. You can use open source if you have Spark or Hadoop, this is an extensionished strategy for Oracle. Give you, essentially, access to a bigger database business, that is free anyway. But the customers get value in that. Is that part of the value proposition that you guys see as well? I mean, because it is not necessarily Orale database, but you are enabling connection to a free software. You guys understand what is going on here? Why is this important? >> So customers today can go out and build their own, but again it is going to take 51 pieces and 100 steps. You know when we were little and we built models, that was great, but when you are running a multi billion dollar business, or a 50 million dollar business, you don't have time to do that. You want something that you can basically take, and plug in. And so, what we have doe is gone out and supported these open source, you know, configurations, that, you know, customers are using to run their business. And we are giving them powerful tools that Oracle builds that plugs into data, that makes that happen. >> So talk about the interviews we had this morning, up and down, so we had a diverse group of people, how would you describe the set of interviews that we had today from an expertise standpoint and subject matter. >> Yeah, so most of these folks are the thought leaders at Oracle and in the industry in Big Data. You saw things that were basically related to hardware. You saw discussions around trends that are happening with the internet of everything, or the internet of things. You saw folks talking about what is happening in terms of what customers want in terms of data labs, or data lakes. So you saw kind of a large representation of expertise within Oracle, speaking to the various pieces of Big Data. >> Converged infrastructure was a term that has been around for a while, but it certainly played out exactly when it first came out. People were like, oh, converged infrastructure, we're are seeing that same kind of converges happening at the data layer, do you guys see that tread connecting with customers, are customers getting it? That concept, we heard things like data lab, data factory. I mean there is almost a converged data infrastructure going on too. >> I think customers get, I think, the old model of converged infrastructure was, hey, lets simplify so of the hardware components. And there was a big piece missing, which was, what are you doing with that hardware? Where is the software pieces? I think the real converged infrastructure that Oracle is bringing to the table and that customers are seeing is the complete package. Its not only the hardware, but the entire software stack as well, because in the old model, if you have a converged infrastructure with hardware, what are you going to do with that? You need software components on top of that, so you are still kind of, you know, building your own with or others off the shelf, you don't have to do that. >> One of the things that people are saying in the marketplace, and, you know, we are also seeing on theCUBE with the Cube coverage, is Oracle is actually thinking about the hardware performance in context to the software of the database, primarily, and then up the stack. What's so important about that notion, of thinking about the performance of the hardware tied to the software, both Oracle and non Oracle? >> You know, I think you could look back at kind of the old mainframe days, if you could basically have a hardware systems and a software working together, and designed to work together, you have the best system, best of breed. I think, you know, because of missing technologies back then, we moved to this kind of open client model. We would kind of have hardware. We would put some third party software on there. You would try to configure it yourself to make it work. Most companies would actually prefer if that system arrived ready to go. So we are kind of, in some way, we are taking the best of both worlds, the best of the optimized system from the past, with the ability of that configuration, that methodology and technology that we have nowadays, and we built a system that basically provides you the best of breed. >> Claude, thanks so much for spending time with us today. I appreciate letting us come in and talk to all the experts here On The Ground here at Oracle Headquarters. >> Thank you, John. >> I'm John Furrier, here On The Ground, for exclusive coverage of Oracle, pre Oracle open world, and also getting all the thought leads around data, data capital, and all data management, on converged infrastructure. I'm John Furrier, you're watching theCUBE. Thanks for watching. (techno music)

>>we'll go back to the cubes. Coverage of the age of US Executive Summit at Davis. Reinvent made possible by Accenture My name is Dave Volunteer. We're gonna talk about the arm nation advantage, embraced the future of productivity, improve speed quality and customer experience through artificial intelligence. And we herewith Bhaskar goes, Who's the chief strategy Officer X censure in Rajendra RP Prasad is the senior managing director in Global Automation. The Accenture guys walk into the Cube. Get to seal. >>Thank you. >>Hey, congratulations on the new book. I know it's like giving birth, but it's a mini version. If the well, the automation advantage embraced a future of productivity, improve speed, quality and customer experience to artificial intelligence. What inspired you to write this book? Can you tell us a little bit more about it and how businesses are going to be able to take advantage of the information that's in there? Maybe you could start, >>so I think you know, if we say that what inspired as primarily the two things really style, you know, over inspired have to start this project in first of all is the technology change step change in the technology. Second is the mile maturity of the buyer maturity of the market when it's a little more, you know, when I talk about the technology change, automation is nothing new in the industry. In the starting from the Industrial Revolution, always, industry adopted the automation. But last few years would happen. That there is a significant change in the technology in terms of not of new technologies are coming together like cloud data, artificial intelligence, machine learning and they are gearing match you, and that created a huge opportunity in the industry. So that is number one second if fighting the maturity of the buyer. So buyers are always buying automation, adopting the automation. So when I talked to this different by a different industrial wire, suddenly we realise they're not asking about workings automation, how that will help. But primarily they're talking about how they can scaling. They have all have done the pilot, the prototype, how they can take the full advantage in their enterprise through scheme and talking to few client few of our clients, and he realised that it's best to write this boat and film all our clients to take advantage of this new technologies to skill up their business. If I give a little more than inside that one, exactly we are trying to do in this boat primarily, we dealt with three things. One is the individual automation which deals with the human efficiency. Second is the industrial automation who visited a group efficiency. And third is the intelligent automation. We deal city business, official efficiency while business value. So we believe that this is what will really change their business and help our client help the automation. It users to really make clear an impact in their business. >>Yeah, And so you talked about that? The maturity of the customer. And and I like the way you should describe that spectrum ending with intelligent automation. So the point is you not just paving the cow path, if you will, automating processes that maybe were invented decades ago. You're really trying to rethink the best approach. And that's where you going to get the most business value, our peace In thinking about the maturity, I think the a pre pandemic people were maybe a little reluctant s Bhaskar was saying maybe needed some education. But But how? If things change me, obviously the penned Emmick has had a huge impact. It's accelerated things, but but what's changed in the business environment? In terms of the need to implement automation? R. P >>thank you Well, that is an excellent question. As even through the pandemic, most of the enterprises accelerated what I call as the digital transformation, technology transformation and the war all time that it takes to do. The transformation is compressed in our most land prices. Now do compress transformation. The core of it is innovation and innovation, led technology and technology based solutions. To drive this transformation automation. Artificial intelligence becomes hot of what we do while we are implementing this accelerators. Innovation enablers within the enterprises, most of the enterprises prior to the pandemic we're looking automation and I as a solution for cost efficiency. Saving cost in DePina deriving capacity efficiency does if they do the transformation when we press the fast forward but draw the transformation journey liberating automation. What happens is most of the enterprises which the focus from cost efficiency to speed to market application availability and system resiliency at the core. When I speaking to most of the sea woes Corrine Wall in the tech transformation they have now embrace automation and air as a Conan able to bribe this journeys towards, you know, growth, innovation, lead application, availability and transformation and sustainability of the applications through the are A book addresses all of these aspects, including the most important element of which is compute storeys and the enablement that it can accomplish through cloud transformation, cloud computing services and how I I and Michelle learning take log technologies can in a benefit from transformation to the block. In addition, we also heard person talk about automation in the cloud zero automation taking journey towards the cloud on automation Once you're in the clouds, water the philosophy and principles he should be following to drive the motivation. We also provide holy holistic approach to dry automation by focusing process technology that includes talent and change management and also addressing automation culture for the organisations in the way they work as they go forward. >>You mentioned a couple things computing, storage and when we look at our surveys, guys is it is interesting to see em, especially since the pandemic, four items have popped up where all the spending momentum is cloud province reasons scale and in resource and, you know, be able the report to remotely containers because a lot of people have work loads on Prem that they just can automatically move in the company, want to do development in the cloud and maybe connect to some of those on from work clothes. R P A. Which is underscores automation in, of course, and R. P. You mentioned a computing storage and, of course, the other pieces. Data's We have always data, but so my question is, how has the cloud and eight of us specifically influenced changes in automation? In a >>brilliant question and brilliant point, I say no winner. I talked to my clients. One of the things that I always says, Yeah, I I is nothing but y for the data that is the of the data. So that date of place underlying a very critical part of applying intelligence, artificial intelligence and I in the organization's right as the organisation move along their automation journey. Like you said, promoting process automation to contain a realisation to establishing data, building the data cubes and managing the massive data leveraging cloud and how Yebda please can help in a significant way to help the data stratification Dana Enablement data analysis and not data clustering classification All aspects of the what we need to do within the between the data space that helps for the Lord scale automation effort, the cloud and and ablest place a significant role to help accelerate and enable the data part. Once you do that, building mission learning models on the top of it liberating containers clusters develops techniques to drive, you know the principles on the top of it is very makes it easier to drive that on foster enablement advancement through cloud technologists. Alternatively, using automation itself to come enable the cloud transformation data transformation data migration aspects to manage the complexity, speed and scale is very important. The book stresses the very importance of fuelling the motion of the entire organisation to agility, embracing new development methods like automation in the cloud develops Davis a cop's and the importance of oral cloud adoptions that bills the foundational elements of, you know, making sure you're automation and air capabilities are established in a way that it is scalable and sustainable within the organisations as they move forward, >>Right? Thank you for that r p vast crime want to come back to this notion of maturity and and just quite automation. So Andy Jossy made the phrase undifferentiated, heavy lifting popular. But that was largely last decade. Apply to it. And now we're talking about deeper business integration. And so you know, automation certainly is solves the problem of Okay, I can take Monday and cast like provisioning storage in compute and automate that great. But what is some of the business problems, that deeper business integration that we're solving through things? And I want to use the phrase they used earlier intelligent automation? What is that? Can you give an example? >>Let's a very good question as we said, that the automation is a journey, you know, if we talk to any blind, so everybody wants to use data and artificial intelligence to transform their business, so that is very simple. But the point is that you cannot reach their anti unless you follow the steps. So in our book, we have explained that the process that means you know, we defined in a five steps. We said that everybody has to follow the foundation, which is primarily tools driven optimise, which is process drivel. An official see improvement, which is primarily are driven. Then comes predictive capability, the organisation, which is data driven, and then intelligence, which is primarily artificial intelligence driven. Now, when I talked about the use of artificial intelligence and this new intelligent in the business, what the what I mean is basically improved decision making in every level in the organisation and give the example. We have given multiple example in this, both in a very simple example, if I take suppose, a financial secretary organisation, they're selling wealth management product to the client, so they have a number of management product, and they have number of their number of clients a different profile. But now what is happening? This artificial intelligence is helping their agents to target the night product for the night customers. So then, at the success rate is very high. So that is a change that is a change in the way they do business. Now some of the platform companies like Amazon on Netflix. He will see that this this killed is a very native skill for them. They used the artificial intelligence try to use everywhere, but there a lot of other companies who are trying to adopt this killed today. Their fundamental problem is they do not have the right data. They do not have the capability. They do not have all the processes so that they can inject the decision making artificial intelligence capability in every decision making to empower their workforce. And that is what we have written in this book. To provide the guidance to this in this book. How they can use the better business decision improved the create, the more business value using artificial intelligence and intelligent automation. >>Interesting. Bhaskar are gonna stay with you, you know, in their book in the middle of last decade, Erik Brynjolfsson and Andy McAfee wrote the second Machine Age, and they made a point in the book that machines have always replaced humans in instead of various tasks. But for the first time ever, we're seeing machines replacing human in cognitive task that scares a lot of people so hardy you inspire employees to embrace the change that automation can bring. What what are you seeing is the best ways to do that? >>This is a very good question. The intelligent automation implementation is not, Iet Project is primarily change management. It's primarily change in the culture, the people in the organisation into embrace this change and how they will get empowered with the machine. It is not about the replacing people by machine, which has happened historically into the earlier stages of automation, which I explained. But in this intelligent automation, it is basically empowering people to do the better. Dwelled the example. That is the thing we have written in the book about about a newspaper, 100 years old newspaper in Italy. And you know, this industry has gone through multiple automation and changes black and white printing, printing to digital. Everything happened. And now what is happening? They're using artificial intelligence, so they're writers are using those technologies to write faster. So when they are writing immediately, they're getting supported with the later they're supporting with the related article they are supporting with this script, even they're supported to the heading of this article. So the question is that it is not replacing the news, you know, the content writer, but is basically empowering them so that they can produce the better quality of product they can, better writing in a faster time. So is very different approach and that is why is, um, needs a change management and it's a cultural change. >>Garden R P What's it for me? Why should we read the automation advantage? Maybe you can talk about some of the key takeaways and, you know, maybe the best places to start on an automation journey. >>Very will cut the fastest MP, Newer automation journey and Claude Adoption Journey is to start simple and start right if you know what's have free one of the process, Guru says, If you don't know where you are on a map, a map won't help you, so to start right, a company needs to know where they are on a map today, identify the right focus areas, create a clear roadmap and then move forward with the structured approach for successful our option. The other important element is if you automate an inefficient process, we are going to make your inefficiency run more efficiently. So it is very important to baseline, and then I established the baseline and know very or on the journey map. This is one of the key teams we discuss in the Automation Advantis book, with principles and tips and real world examples on how to approach each of these stages. We also stress the importance of building the right architecture is for intelligent automation, cloud enablement, security at the core of automation and the platform centric approach. Leading enterprises can fade out adopters and Iraq, whether they are in the early stages of the automation, journey or surrender advanced stage the formation journey. They can look at the automation advantage book and build and take the best practises and and what is provided as a practical tips within the book to drive there. Automation journey. This also includes importance of having right partners in the cloud space, like a loveliest who can accelerate automation, journey and making sure accompanies cloud migration. Strategy includes automation, automation, lead, yea and data as part of their journey. Management. >>That's great. Good advice there. Bring us home. Maybe you can wrap it up with the final final world. >>So, lefty, keep it very simple. This book will help you to create difference in your business with the power of automation and artificial intelligence. >>That's a simple message and will governor what industry you're in? There is a disruptions scenario for your industry and that disruption scenarios going to involve automation, so you better get ahead of editor game. They're The book is available, of course, at amazon dot com. You can get more information. X censure dot com slash automation advantage. Gosh, thanks so much for coming in the Cube. Really appreciate your time. >>Thank you. Thank >>you. >>Eh? Thank you for watching this episode of the eight of US Executive Summit of reinvent made possible by Accenture. Keep it right there for more discussions that educating spy inspire You're watching the queue.

>>long from Las Vegas. It's the Q covering a ws re invent 2019. Brought to you by Amazon Web service is and in along with its ecosystem partners. >>Welcome back here to AWS reinvent 2019. Great show going on here in Las Vegas, where the Sands were live here on the Cube. Once again, covering it from wall to wall will be here until late tomorrow afternoon. David John Walls were doing by Joined by David. She coaches who is the vice president of product management for hybrid idea Century Lake. Good to see you, You guys and Brandon sweetie, who's the SPP of worldwide cloud sales at Veum With you be with you. This is gonna be a New England sports segment actually surrounded by ruin. Celtics, >>ESPN in Vegas, >>I remind you, the Washington Nationals are the reigning world. Serious shit. Wait a moment. Wait. Shark forever. A moment in time I got stuff. Let's talk about your relationship between via wearing set free like And what brings you here? A WSB offering. You're putting you guys that run on AWS. >>Maybe Maggie jumping and jumping. So look VM wear a long time player in the infrastructure space. Obviously incredible relationship with AWS. Customers want to transform their operations. They want to move to the cloud way have Vienna, where Claude, on a video B s. We continue to take tremendous ground helping customers build and build more agile infrastructure. Make that happen, Van. Where was built on our partners. Right centrally great partner MSP. And we think about helping customers achieve their business outcomes. Key partners like centrally make it happen. You've been a long term partner and done a lot of great things with us. >>Yeah, and really what? What Central Lincoln VM Where have done? I mean, really, we sort of created the manage private cloud market in the early days of managing the Empire solutions for customers, but really were and where we differentiate in other working with GM wear on AWS is really with elements of our network or the ability to take those kinds of solutions and make sure that they're connected to the right networks and that they're tied in and integrated with the customer's existing enterprise and where they want to go as they start to distribute the workload more widely. Because we run that network, we see a lot of the Internet traffic. We see a lot of threat patterns. We see a lot of things emerged with our cyber security capabilities and manage service is. So we add value there. And because of that history with BM wear and in sort of creating that hosted private cloud environment, there's There's a lot of complexity, friendliness inside of our service offer, where we can manage the inn where we can manage it in a traditional model that is cloud verified. And then you could manage it as it starts to move on to the AWS platform. Because, as we all know, and as even you know, Andy has referenced in different points, there's a just about every kind of workload can go to eight of us. But there are still certain things that can't quite go there. And building a hybrid solution basically puts customers in a position to innovate is what a hybrid solution is all about. >>That kind of moves the needle on some of those harder to move working in the M, where is such an obvious place to start? So you try to preserve that existing customer of'em, where customer experience but at the same time you want to bring the cloud experience. So how How is that evolving? >>Yes, it's a couple things, right? So l Tingley customers, they all want to move to the cloud for all the reasons we want security, agility, governance, et cetera. Right, but fundamentally need help. And so partners, like essentially help figure out which workloads are cloud ready, right? And figure that out and then to you, get to know the customer. Really well, begin the relationships that you have, right, and you can help them figure out which workloads am I gonna move right? And then that leads into more relationships on How do I set up d r. Right? How do I offer other service is through eight of us against those work clothes. >>There's a lot of things where being a manage service's provider for a V M were based platform or being. Amanda's service is provided for an AWS platform. There's a lot of things that you have in common, right? First and foremost is that ability toe run your operations securely. You've got to be secure. You know, you need to be able to maintain that bond of trust you need to be auditable. Your your your operations model needs to be something that transparent to the customer. You need to not just be about migrating workloads to the new and exciting environment, but also helping to transform it and take advantage of whether it's a V M where feature tool or next generation eight of us feature it's will. It's not just my great lift and shift, but then helped to transform what that that downstream, long term platform could do. You certainly want Teoh be in a posture where you're building a sense of intimacy with the customer. You're learning their acronyms. You're learning their business processes. You're building up that bond of trust where you can really be flexible with that customer. That's where the MSP community can also come in, because there's a lot of creative things we can do commercially. Contracting wise binding service's together into broader solutions and service level agreements that can go and give the customer something that they could just get by going teach individual technology platform under themselves >>and their ways >>where the service provider community really chips in. >>I think you're right and we think about helping Dr customers success manage service providers because of those engine relationship with customers. We've had tremendous success of moving those workloads, driving consumption of the service and really driving better business outcomes based on those relationships you have. >>So let's talk about workloads, guys. Course. Remember Paul Maritz when he was running the M word? He said Eddie Eddie Workload. Any application called it a device. He called it a software mainframe and Christian marketing people struck that from the parlance. But that's essentially what's happened pretty much run anything on somewhere. I heard Andy Jassy Kino talking about people helping people get off on mainframes. And so I feel like he's building the cloud mainframe. Any work less? But what kind of workloads are moving today? It's not. Obviously, he acknowledged, some of the hard core stuff's not gonna move. He didn't specify, but it's a lot of that hard core database ol TV transit transaction, high risk stuff. But what is moving today? Where do you see that going? >>Don't talk about some customers. >>Yeah, >>so a lot of joint customers we have that. I think you fall into that category. In fact, tomorrow on Thursday, we're actually leading a panel discussion that really dives into some customers. Success on the AWS platform that Central Lincoln are managed service is practice has been able to help them achieve what's interesting about that We have. We have an example from the public sector. We have an example from manufacturing and from from food and beverage example from the transportation industry and airlines. What's really interesting is that in all those use cases that will be diagramming out tomorrow, where VM Where's part of all of them, right? And sometimes it's because I am. Where is a critical part of their existing infrastructure? And so we're trying to be able to do is design, you know, sort of systems of innovation, systems of engagement that they were running inside of an AWS or broadly distributed AWS architecture. But it still needs network integration, security and activity back to the crown jewels and what's kept in a lot of those workloads that already running on the BM where platform So that's a lot of ways. See that a good deal with regards to your moving your sort of innovative workloads, your engagement workload, some of your digital experience, platforms you were working with an airline that wants to start building up a series of initiatives where they want to be able to sell vacation packages and and be very creative in how they market deliver those pulling through airline sails along the way. They're gonna be designing those digital initiatives in AWS, but they need access to flight flight information, schedule information, logistics information that they keep inside of there there. Bm where environment in the centralized data center. And so they're starting to look at workloads like that. We started to look at the N word cloud on eight of us being whereas it a zit in and of itself as a workload moving up to eight of us. There's a range of these solutions that we're starting to see, but a lot of it is still there, and he had the graphic up. There were still, in the very early days of clouded option. I still see a lot of work loads that are moving AWS theater in that system of engagement. How can I digitally engaged with my customers better? That's where a lot of the innovation is going on, and that's what a lot of the workload that are running in launching our >>I mean, we're seeing tremendous momentum and ultimately take any workload, wailed, moving to the cloud right and do it in an efficient and speedy path. And we've got custom moving thousands of workloads, right? They may decide over time to re factor them, but first and foremost, they could move them. They relocate them to the cloud. They can save a lot of costs. Out of that, they can use the exact same interface or pane of glass in terms. How they manage those work clothes, whether they're on Kramer, off Prem. It gives them tremendous agility. And if they decide over time, they have to re factor some workloads, which can be quite costly. They have that option, but there's no reason they shouldn't move. Every single worker today >>is their eyes, their disadvantage at all. If if you're left with ex workloads that have to stay behind, as opposed to someone who's coming up and getting up and running totally on the cloud and they're enjoying all those efficiencies and capabilities, are you a little bit of a disadvantage because you have to keep some legacy things lingering behind, or how do you eventually close that gap to enjoy the benefits of new technologies. Yeah, >>there's a sort of an old saying that, you know, if you're if you're if you're an enterprise, you know, that means you've had to make a lot of decisions along the way, right? And so presumably those decisions added value. It's your enterprise, or else she wouldn't be in enterprise. So it really comes out, too. Yeah, to those systems of records of those legacy systems way talk about legacy systems >>on Lian I t. Is the word legacy. I know it's a positive. United is the word legacy. A majority of >>your legacy is what the value you built up a lot of that, whether it's airline flight data or scheduling, best practices are critical. Crown jewels kind of data systems are really important. It really comes down to it. You're on enterprise and you're competing against somebody that is born in the cloud. How well integrated is everything. And are you able to take advantage of and pace layer your innovation strategy so that you can work on the cloud where it makes sense. You can still take advantage of all the data and intelligence you build up about your customers >>so talking earlier, You guys, it seems like you guys do you see that? That cloud is ultimately the destination of all these workloads. But, you know, Pac thinking about PacBell Singer, he talked about the laws of physics, the laws of economics and the laws of the land so that he makes the case for the hybrid >>Murphy's Law. >>Yeah, so that makes the case for the hybrid world. And it seems like Amazon. To a certain extent, it's capitulating on that, and it seems like we got a long way to go. So it's almost like the cloud model will go to your data wherever it iss. You guys, I think, helped facilitate that. How do you look at that? >>Yes. I mean, part of that answer is how much data centers are becoming sort of an antiquated model right there. There there is a need for computing and storage in a variety of different locations. Right, And there's that we've been sort of going through these cycles back and forth of you use the term software mainframe and the on the Palmer. It's kind, a model of the original mainframe decentralizing out the client server now centralizing again to the cloud as we see it starting to swing back on the other direction for towards devices that are a lot smarter. Processors that are, you know, finally tuned for whatever Internet of things use case that they're being designed for being able to put business logic a whole lot closer to those devices. The data. So I think that is what one of things that I think that said that one of the BM wears. A couple of years ago, data centers were becoming centers of data. And how are you able to go and work with those centers of data? First off, link them all together, networking lies, secure them all together and then manage them consistently. I think that's one of the things I am has been really great about that sort of control playing data plane separation inside your product design that makes that a whole lot more feet. >>I mean, it is a multi cloud, and it's a hybrid cloud world, and we want to give customers of flexibility and choice to move their workloads wherever they need, right based on different decisions, geographic implications, et cetera, security regimens and mean fundamentally. That's where we give customers a tremendous, tremendous amount of flexibility. >>And bringing the edge complicates >>edge, data center or cloud. >>It's so maybe it's not a swing back, you know, because it really has been a pendulum swing, mainframe, decentralized swing back to the cloud. It feels like it's now this ubiquitous push everywhere. >>Pendulum stops. >>Yeah, >>because there's an equal gravitational pull between the power of both locals >>and compute explodes everywhere. You have storage everywhere. So bring me my question of governance, governance, security in the edicts of the organization. You touched on that. So that becomes another challenge. How do you see that playing out what kind of roles you play solving that problem >>on the idea of data governance? Governance? Yeah. I mean the best way to think about our. In our opinion, the best way to think about data governance is that is really with abstraction. Layers and being ableto have a model driven approach to what you're deploying out into the cloud, and you can go all in with the data model that exists in the attraction layers in the date and the model driven architecture that you can build inside things like AWS cloud formations or inside things like answerable and chef and been puppet, their model, different ways of understanding what your application known state should be on. That's the foundational principle of understanding what your workloads are and how you can actually deliver governance over them. Once you've modelled it on and you then know how to deploy it against a variety different platforms, then you're just a matter of keeping track of what you've modelled, where you've deployed it and inventorying those number of instances and how they scale and how healthy there that certainly, from a workload standpoint, I think governance discipline that you need in terms of the actual data itself. Data governance on where data is getting stored There's a lot of innovation here at the show floor. In terms of software to find storage and storage abstractions, the embers got a great software to find storage capability called the San. We're working with a number of different partners within the core of our network, starting to treat storage as sort of a new kind of virtualized network function, using things like sifts and NFS and I scuzzy as V n F that you can run inside the network we want. We have had an announcement here earlier in the week about our central bank's network storage offer. We're actually starting to make storage and the data policy that allows you to control words replicated and where it's stored. Just part of the network service that you can add is a value add >>or even the metadata get the fastest path to get to it if I need to. If I prefer not to move it, you're starting to see you're talking about multiplied this multi cloud world. It seems like the connections between those clouds are gonna be dictated by that metadata and the intelligence tow. You know what the right path is, >>And I think we want to provide the flexibility to figure out where that data needs to reside. Cross cloud on, Prem off from, and you can just hear from the conversation, David, level of intimacy some of our partners have with customers to work through those decisions. Right, if you're gonna move those workloads effectively and efficiently, is where we get a lot of value for our joint customers. >>I mean, she's pretty fundamental to this notion of digital transformation that's ultimately what we've been talking about. Digital transformation is all about data putting data at the core, being able to access that, get insights from it and monetize, not directly, but understand how data affects the monetization of your business. That's what your customers >>and I think we >>wantto. Besides, I think we want to simplify how you want to spend more time looking up. Your applications are looking down your infrastructure, right? Based on all the jury, are drivers across the different business needs. And again, if we can figure out how to simplify that infrastructure, then people could spend more time on the applications because that's how they drive differentiation in the market, right? And so let's simplify infrastructure, put it where it needs to be. But we're going to give you time back to drive innovation and focus on differentiating yourself. >>You know, it's interesting on the topic of digital transformation reindeer. So right, sort of an interesting little pattern that plays out for those of us that have been in the service of writer community for a little while that a lot of the digital transformation success stories that you see that really get a lot of attention around the public cloud like eight of us. The big major moves into going all in on the public cloud tend to come from companies that went all in on the service provider model 10 years ago, the ones that adopted the idea. I'm just gonna have somebody do this non differentiating thing for me so that I can focus on innovation, are then in a better position to go start moving to the cloud as opposed to companies that have been downward focused on their infrastructure. Building up skill sets, building up knowledge base, building up career, path of people that, actually we're thinking about the technology itself as part of their job description have had a hard time letting go. It sort of the first step of trusting the service provider to do it for you lead you to that second step of being able to just leverage and go all in on the public lab. >>And customers need that help, right? And that's where if we can help activate moving those workloads more quickly, we provide that ability, put more focus on innovation to Dr Outcomes. >>I know you're talking about legacy a little bit ago and that the negative connotation, I think. Tom Brady, Don't you think I wanna run number seven? I haven't had a home smiling Would always do it back with more. We continue our coverage here. Live with the cube, where a w s rivet 2019.

>>long from Las Vegas. It's the Q covering a ws re invent 2019. Brought to you by Amazon Web service is and in along with its ecosystem partners. >>Welcome back to the Cube. We are in Las Vegas, Lisa Martin with John Wall's. I'm very excited that we're kind of color coordinated >>way. Didn't compare notes to begin with, but certainly the pink thing. It's worth it if >>you like. You complete me. >>Oh, thank you. Really, Joe, I don't hear that very often. My wife says that >>you tell that we're at the end of day one of the coverage of A W s three in bed. Good day, though. Yes, it has been very excited. We have a couple of guests joining us for our final segment on this. Please welcome. We have Bill Gerard CTO of Digital Transformation and Scale solutions at Intel Bill, welcome to our show. >>Thank you very much. Happy to be here >>And one of our friends. That's no stranger to the Cube. One of our former host, Bobby Allyn, the CEO of Cloud Generate. Bobby. >>Thank you. Thank you for having us. >>Guys, here we are. This there has not been a lull in the background noise all day. Not reinvent day one. But Bobby want to start with you. Talk to her audience about cloud genera. Who are you guys? What do you do? And what's different about what you're delivering? >>One of the first things is different about Claude Generous where we're located. So we're in Charlotte, which I call Silicon South. So we're kind of representing the East Coast, and we're a company that focuses, focuses on helping with workload, placement and transformation. So where you don't know whether something should go on from off grim. If you put it in Amazon, which service's should have consumed licensing models? Pricing models way help you make data driven decisions, right? So you're not just going based on opinion, you're going based on fact. >>And that's challenging because, you know, in the as, as John Ferrier would say, No Cloud Wanda Otto, which was compute network storage, it was the easy I shouldn't say easy, but the lift and shit applications that enterprises do are these workloads should go to the cloud. Now we have you know what's left over, and that's challenging for organization. Some of the legacy once can't move. How do you help from a Consul Tatum's down point that customers evaluate workloads? What data are they running? What the value that data has and if they are able to move some of those more challenging applications. >>So part of the framework for us, Lisa, is we want to make sure we understand what people are willing and able to change right, because sometimes it's not just about lower costs. Sometimes it's about agility, flexibility, deploying a different region. So what we often start with his wit is better look like you would assist us with life for your organization. And so then, based on that, we analyze the applications with an objective, data driven framework and then make sure the apse land where they're supposed to go. We're not selling any skewer product. We're selling advice to give you inside about what you should do, >>Bobby, I think. And maybe Bill to you could chime in here on this. If you give people a choice, What does this look like? What you know, What do you want? I don't want to do anything right. I want to stay put, right? But that obviously that's not an option, But you I'm sure you do get pushed back quite a bit from these almost the legacy mindset. And we've talked a lot about this whole transformation versus transition. Some people don't want to go, period. So how do you cajole them? Persuade them bring them along on this journey? Because it's gonna be a long trip. Yeah, I think you gotta pack a lunch. >>It's a good point. I think what we've seen, most of them have data experience that this is a tried and elements didn't get the results that they expected. This is where you know, the partnership that we have with call General. Really? You know that data driven, intelligent, based planning is super important, right? We want to really fundamentally health organizations move the right workloads, make sure they get the right results and not have to redo it. Right? And so part of that, you know, move when you're either past scars or not used to what you're doing. Give him the data and the information to be able to do that intelligently and make that as fast as they can. And you know, at the right, you know, experience in performance from a capability perspective. >>So so many businesses these days, if they're not legacy if they're not looking in the rear view mirror, what is the side mirror site? Objects are closer than they appear, even for Amazon. Right? For all of these companies, there are smaller organizations that might be born in a cloud compared to the legacy two words. And if they're not looking at, we have to transform from the top down digitally, truly transform. Their business may not be here in a year or two, so the choice and I think they need to pack a lunch and a hip flask for this because it's quite the journey. But I'm curious with the opportunity that cloud provides. When you have these consultation conversations, what are This? Could be so transformative not just to a business, but to a do an entire industry. Bill talked to us from your perspective about some of the things that you've seen and how this next generation of cloud with a I machine learning, for example, can can really transfer like what's the next industry that you think is prime to be really flipped upside down? >>Well, the good news is I think most of the industries in the segment that we talked to have realized they need to some level of transformation. So doing the business as usual really isn't an option to really grow and drive in the future. But I do think the next evolution really does center on what's happening in a I and analytics. Whether it's, you know, moving manufacturing from video based defect detection, supply chain integrity. You know what's happening from a retail was really the first in that evolution, but we see it in health care in Federal Data Center modernization, and it's really moving at a faster pace and adopting those cloud technologies wherever they needed, both in their data center in the public, cloud out of the edge. And we'll start to see a real shift from really consolidation in tow. Large hyper converts, data centers to distributed computing where everything again. And that's where we're excited about the work we're doing with the Amazon, the work we're doing with Eyes V partners to be at the capability where they need it, but I think it will be really the next. Evolution of service is everywhere. >>Never talk us through an example or use case of a customer that you're working with, a cloud genera with intel and and a W S. What does that trifecta look like for, say, a retailer or financial service is organization >>so that that looks like this? ELISA. When we when we talk about workload placement, we think that most companies look at that as a single question. It's at least a five fold question. Right there is the venue. There's the service. There's the configuration, the licensing model and the pricing model. You need to look at all five of those things. So even if you decided on a DBS is your strategic partner, we're not done yet. So we have a very large financialservices customer that I can't name publicly. But we've collaborated with them to analyze tens of thousands of workloads, some that go best off from some that go best on for him. And they need guidance and coaching on things like, Are you paying for redhead twice your pay for licensing on him? Are you also paying for that in the cloud? There are things that maybe should be running an RT s database as a service. Here's your opportunity to cut down on labor and shift some of the relationships tohave, toe re index and databases is not glamorous or differential to value for your business. Let's take advantage of what a TBS does well and make this better for your company. One of the things that I want to kind of introduce to piggyback on your question. We lean on people process technology as kind of the three, the three legged horse in the Enterprise. I want to change that people process product or people process problem. We're falling in love with the tech and getting lazy. Technology should be almost ubiquitous or under the covers to make a product better or to solve a problem for the customer. >>Well, maybe on that, I mean automation concern to come in and make a big play here because we're taking all these new tasks if you could automate them that you free your people, your developers to do their thing right. So you raise an interesting point on that about being lazy and relying on things. But yet you do want off put our offload some of these nasty not to free up that creativity and free up the people to do what they're supposed to be doing. It's a delicate balance, though, isn't it? It is. It is. This >>is where I think the data driven, you know, informed decisions important. We did a lot of research with Cloud Jenner and our customers, and there's really four key technical characteristics when evaluating workload. The 1st 1 of course, is the size of the data. Where is the created words They use Words that consumed the 2nd 1? Is the performance right? Either performance not only to other systems around it or the end user, but the performance of the infrastructure. What do you need out of the capability? The level of integration with other systems? And then, of course, security. We hear that time and again, right? Regulatory needs. What are we having from top secret data to company sensitive data? Really Getting that type of information to drive those workload placement decision becomes at the forefront of that on getting, you know, using cloud gender to help understand the number of interfaces in and out the sides of the data. The performance utilization of the system's really helps customers understand how to move the right workload. What's involved and then how to put that in the right eight of us instance, and use the right ideas capabilities, >>and you and you both have hit on something here because the complexity of this decision, because it's multi dimensional, you talked about the five points a little bit ago. Now you talked about four other factors. Sue, this is not a static environment, No, and to me that as you're making a decision, that point is what's very difficult for, I would assume for the people that you're interfacing with on the company level. Yes, because it's a moving target for them, right? They just it's it's dynamic and changing your data flows exponentially. Increasing capabilities are changing. How do you keep them from just breaking down? >>I don't want to jump in on that, because again, I'm going to repeat this again. That my thesis is often technology is the easy part. We need to have conversations about what we want to do. And so I had a conversation earlier today. Think of Amazon like a chef. They could make anything I want, but I need to decide what I want to eat. If I'm a vegan and he wants steak. That's not Amazons fault. If they can't cook something, that's a mismatch of a bad conversation. We need to communicate. So what I'm finding is a lot of executives are worried about this. There were Then you're going to give me the right the wrong answer to the right question. The reality is you may have the wrong question. First of all right, the question is usually further upstream, so the worry that you're gonna give me the wrong answer to the right question. But often you need to worry that you're getting your starting with the wrong question. You're gonna get the right answer asked the right question first. And then you got a chance to get to the final destination. But >>and then he in this multi cloud world that many organizations live in, mostly not My strategy could be by Emma A could be bi developer preference for different solutions. A lot of Serios air telling us we've inherited a lot of this multi cloud and technical debt. Exactly. So does not just compound the problem because to your point, I mean you think of one way we hear so many different stats about the number of clouds that on average enterprises using is like 5 to 9. That whole world. That's a reality for organizations. So in terms of how the business can be transformed by what you guys are doing together, it seems like there's a tremendous opportunity there. But to your point, Bobby, where do you start? How do you help them understand what? That right first question is at the executive level so that those four technical points that Bill talked about Tek thee you know, the executive staff is all on board with Yes, this is the question we're asking then will understand it. The technology is right. Sold >>it. It's got to start with, Really? What? The company's business imperatives, right? It can't start with an I t objective. It's it's Are we moving into new markets? Do we need thio deploy capabilities faster? Are we doing a digital customer experience? Transformation? Are we deploying new factories, new products into new regions, and so really the first areas? What's the core company strategy, imperatives of the business objectives? And >>then how >>does I t really help them achieve that? In some cases, it may be we have to shift and reduce our data center footprints way have to move capabilities to where we have a new region. Deployments, right? We've got to get him over to Europe. We don't have capabilities in Europe. We're going to Asia. I've got a mobile sales force now where I need to get that customer, meet the customer where they're doing, you know, in the retail store, and >>that >>really then leads quite simply, too. What are the capabilities that we have in house that we're using? >>How are >>they being utilized? And he's using them, and then how do we get them to where they need to be? Some cases accost, imperative. Some cases and agility, Time to market and another's and we're seeing this more often is really what are the new sets of technologies? A. I service is training in forgetting that we're not experience to do and set up, and we don't want to spend the time to go train our infrastructure teams on the technology. So we'll put our data scientists in there figuring out the right set of workloads, the right set of technology, that we can then transform and move our applications to utilize it really starts, I think with the business conversation, or what's the key inflection point that they're experiencing? >>And have you seen that change in the last few years that now it's where you know, cloud not cloud. What goes on Cloud was an I t conversation to your point, Bill. And then the CEO got involved in a little bit later. But now we're we're seeing and hearing the CEO has got to be involved from a business imperative perspective. >>Share some data, right? Uh, so, you know, a couple of years ago, everybody was pursuing cloud largely for cost. Agility started to become primary, and that's still very important. A lot of the internal enterprise data modernizations were essentially stalled a bit because they were trying to figure how much do we move to the the public cloud, right. We want to take advantage of those modern service is at that time, we did a lot of research with our partners. He was roughly 56% of enterprise workload for in their own data center. You know, the rest of them Republic Cloud. And then we saw really the work, the intelligent workload discussion that says we've had some false starts. Organizations now really consistently realize they need both, you know, their own infrastructure and public cloud, and we've actually seen on increase of infrastructure modernization. While they're moving more and more stuff to the cloud, they're actually growing there on centre. It's now roughly 59% on Prem today for that same business, and that's largely because they're using more. Cloud service is that they're also even using Maur on premise, and they're realizing it's a balance and not stalling one or starving one and then committing to the other the committing to both and really just growing the business where it needs to go. >>Strategic reasons. All right? >>Yes, well, there should be four strategic reasons. There aren't always back to your question about which question asked. One of the questions I often ask is, What do you think the benefits will be if you go to cloud? And part of what happens is is not a cloud capability? Problem is an expectation problem. You're not gonna put your GOP system in the cloud and dropped 30% costs in a month, and so that's where we need to have a conversation on, You know, let's iterating on what this is actually gonna look like. Let's evolve the organization. Let's change our thinking. And then the other part of this and this were clouded or an intel come in. Let's model with simulation looks like. So we're gonna take those legacy work clothes unless model containers. Let's model Micro Service is so before you have to invest in transformation to may not make sense. Let's see what the outcome's look like through simulation through a through M l and understand. Where does it make sense to apply? The resource is, you know, to double click on that solution that will help the business. >>I was gonna finish my last question, Bobby, with you saying, Why, Cloud General? But I think you just answered that. So last question for you, though, from from an expectation perspective, give me one of your favorite examples of customer whatever kind of industry there and that you've come in and helped them really level, set their expectations and kick that door wide open. >>That's tough, many >>to choose from. >>Yeah, let me let me try to tackle that one quickly. Store's computer databases. Those are all things that people look at I think what people are struggling with the most in terms of kind of expectations is what they're willing and able to change. So this is kind of what I leave on. Bill and I talked about this earlier today. A product is good, a plan is better. A partnership is best. Because with the enterprises of saying is, we're overwhelmed. Either fix it for me or get in there with me and do it right. Be in this together. So what we've learned is it's not about were close applications. It's all kind of the same. We need help. We're overwhelmed. I want a partner in telling Claude Juncker the get in this thing with me. Help me figure this out because I told you this cloud is at best a teenager. They just learned how to drive is very capable, but it needs some guard rails. >>I love that. Thanks you guys So much for explaining with Johnny what you guys are doing together and how you're really flipping the model for what customers need to be evaluated and what they need to be asking. We appreciate your time. >>Thank you for having us >>our pleasure. Thank you. for John Wall's I'm Lisa Martin. You've been watching the Cube at Reinvent 19 from Vegas. Wants to go tomorrow.

>>Ly from San Diego, California. It's the cube covering to clock in cloud native con brought to you by red hat, the cloud native computing foundation and its ecosystem Marsh. >>Welcome back to San Diego. It's CubeCon cloud native con 2019. You're watching the cube. I'm streaming in my cohost for three days of live coverage is John Troyer and happened at welcome fresh off the keynote stage to my right is as hers as har who's the chief architect for telco at red hat and the man that was behind the scenes for a lot of it, hunting Garcia, telco solutions manager at red hat. A gentlemen, thanks so much for joining us and a very interesting keynote. So you know 5g uh, you know, my background's networking, we all watch it. Um, uh, let's say my telco provider already says that I have something related to five G on my phone that we grumble a little bit about, but we're not going to talk about that where we are going to talk about his keynote. Uh, we had a China mobile up on stage. Uh, maybe a, I love a little bit behind the scenes as you were saying. Uh, you know, the cloud native enabled not just uh, you know, the keynote and what it's living, but it gets a little bit of what >>well, sure. Um, look, when we took on this particular project to build a cloud native environment, uh, for five genes, we spent a lot of time planning and in fact this is a guy who actually did, you know, most of that work, um, to do a lot of planning in terms of picking different components and getting that together. Um, one of the things that cloud native environment allows us to do is bring things up quickly. The resilience part of it and the scale bar, right? Those are the two important components and attributes of cloud native. In fact, what happened last night was obviously one of the circuit breakers trapped and we actually lost power to that particular entire part that is onstage. I mean, nobody knows about this. I didn't talk about it as part of the keynote, but guess what? Through because it was cloud native because it was built in an automated fashion. People were able to work. Yes, they spent about three hours or so to actually get that back up. But we got it back up and running and we showed it live today. But what, I'm not trying to stress on how it failed a white fail. I'm trying to stress on how quickly things came back up and more important. The only cloud native way of doing things could have done that. Otherwise it wouldn't have been possible. All right. >>as, as the man behind the scenes there. Uh, it's great when we have, you know, here's actually the largest telco provider in the world. Uh, you know, showing what it, it's happened. So the title Kubernetes everywhere that telco edge gets a little bit of a hind, the scenes as to kind of the, the, the mission of building the solution and how you got it, you know, your, your, your customers, your partners, uh, engaged and excited to participate in. >> This is what's that very thirsting enterprise through realize. Actually, we took four months around, uh, 15 partners. And, uh, I would say partners >>because in that case, I'm taking, uh, uh, bell Canada and China mobile is a partners. They are part of the project. They were giving us a requirement, helping us all the way to it and together other, uh, more, uh, commercial partners. And of course, uh, as whatsover Allianz, like the team in the and the open interface, Allianz is, we're working with us is, was about 8,200 people working behind the scenes to get this work, uh, to have a lab, uh, directly, completely set up with a full, uh, Fuji containerized MoMA and network in France, uh, have the same in Montreal. Fuji and fogey called directly Montiel as well, uh, in one of our partners, uh, Calum labs and then bringing here the fudgey pop, uh, and have everything connected to the public cloud. So we have everything in there. So all the technology, all the mobile technology was there. >>We have enterprise technology that we're using to connect all the, all the labs and the, and the pop here with the public cloud to. Uh, um, technology and we have of course deployed as, as a, as our, uh, was mentioning. We deployed Kubernete is on the public cloud and we have as well Kubernete is open, rehabbed, open stack, uh, sorry. They had OpenShift container platform running on the, on all the premise in the lab in France and Davi, Marcia and they pop here. Uh, as I say, it was kind of an interesting enterprise. We have some hiccups last night, but uh, we were able to put that out the world telco, >>very specialized, very high service level agreements. I always want by phone to work and so a little bit, uh, uses different terminology than the rest of it sometimes. Right. And MP and VNF and VCO. But so maybe let's real to tell people a little bit like what are we actually talking about here? I mean, people also may not be following edge and, and teleco and what's actually sitting in their home town or, or it used to be embedded chips and none, it was a like Linux, but we're actually talking about installing Kubernetes clusters in a lot of different, really interesting typologies. That's absolutely true actually with the way how, and described it as perfect in the sense that we actually had Kubernetes clusters sitting in a data center environment in France, in Montreal and a remote pop that's sitting here on stage. So it was not just independent clusters but also stretch clusters where we actually had some worker nodes here that will attach back to the Montreal cluster. >>So the flexibility that it gave us was just awesome. We can't achieve that. Uh, you know, in general. But you brought up an interesting topic around, uh, you know, Getty or, uh, or, or the Teleco's operating environment, which is different and cloud native principles has, are a little bit different where they weren't very high availability, they weren't very high reliability with good amount of redundancy. Well, cloud native and actually those attributes to you. But the operational model is very different. You have to almost use codas throwaway hardware as throwaway and do a horizontal scale model to be able to build that. Whereas in the older environment, hardware was a premium switches and routers with a premium and you couldn't have a failure. So you needed all of those, you know, compliance of high availability and upgradability and so on. Here I'm upgrading processes in Linux, I'm upgrading applications. I can go deploy anytime, tear them down. Anytime I'm monitoring the infrastructure, using metrics, using telemetry. That wasn't the case before. So a different operating environment, but it provides actually better residency models than what telcos are actually yesterday. Yeah. >>Um, it's a complicated ecosystem to put all these pieces together. Uh, it gives, gives a little insight as to, uh, you know, red hats, leadership and uh, the, the, the partners that help you put it in. >>I will let him answer that. >>Um, is another, our first rodeo. We have been working on the vitro central office project with the, with the leaner foundation, uh, networking and Hopi NFV community for three last years. Uh, let's say, and the interesting part of this one is that even though we typically get with working with what the technology that they are using now, uh, we decided it's time to go with the technologies that we'll be using from now on. Um, but of course, uh, there is a set of partners that we need. We need to build the infrastructure from scratch. So for example, we have a Lenovo that was bringing all the, all the servers, uh, for the, for the set up in, uh, and here in San Diego, which actually the San Diego pub was built originally in Raleigh, Illinois, facilities and cheap all over the country to here for the show. Uh, and uh, then we have the fabric part. >>So the networking part, that's his cologne. Uh, this was working and bringing us the software defined fabric, uh, to connect all the different future. And then, then we start building this over layers on top. So we have, they had OpenShift container platform for the to completely deploy over metal servers. And then we start adding all the rest of the components, like the four G core fundamental Tran, like dividing for GFG radio from Altron, uh, together with Intel come Scott. That's his building. He started building the mobile part of it in Montreal, a San Diego. And then we add on top of that. Then we start adding the IMS core in the public cloud and then we connect everything through the by tuning. >>So a couple of things that I'd like to highlight in terms of coordinating partners, getting to know when they're ready, figuring out an onboarding process that gives them a sandbox to play with their configurations first before you connect them back into the main environment. Partitioning that working simultaneously with Malden, we had a Slack board that was full of messages every day. We had a nonstop, you know, every morning we had a scam call, right then it's like a scrum meeting every morning, just a daily stand up from eight 30 to nine 30. And we continue that all over the day. >>So as her, one of the things I really like to China mobile, uh, when they talked about in the keynote, first of all they said, you know, the problem is, you know, 20 by 2026, you know, it's, it's rainbows and unicorns and you know, 5g, uh, you know, will help enable so much around the planet. Seriously. Um, but you know, today she, she talked about major challenge in the rollout and infrastructure and service and capability. So, you know, help us understand a little bit the hype from reality of where we are with five G what we could expect. >>Absolutely. We are going through the hype phase right now, right? We are absolutely all the operators want FFG service to be delivered for sure. The reason why they want it to be delivered as they don't want to be left behind. Now there are some operators when we in more opportunistic and looking at 5g as a way to insert themselves into different conversations, IOT conversation, um, smart city conversation, right? Um, edge compute conversation. So they're being very strategic about how the big, the set of technologies, how they go deploy in that particular infrastructure and strategically offer capabilities and build partnerships. Nobody's going to rip out their existing three G four G network and replace that with 5g by 2026. It's not gonna happen, but what will happen by 2026 is an incremental phase of services that will be continued to offer. As an example, I'll give you, um, cable providers are looking at 5g as a way to get into homes because they can deploy in millimeter wave band a radio closer to the house and get a very high speed multi-gigabit high speed connection into the home without having to worry about what's your copper look like? >>Do I have fiber to the home? Do I have fiber to the business and so on. And so. So that's actually an interesting, >>okay, so you're saying solving the last mile issue in a very targeted use. >>Absolutely. So that's one. The other area might be running a partnership with BMW Toyota in, you know, some of these car companies to provide telemetry back from cars into their own, you know, operating environment so that they know what's going on, what's being used, how is it being used, how can we, how can we do provide diagnosis before the car actually begins to fail? Uh, big, you know, private environments like oil and gas mining, they are going to deploy public safety and security where all of these, you know, policemen on and safety personnel are required to now use body cams. Now you have video feeds coming from hundreds of people. There are deployment and incidents. Now you can take that information you need high speed broadband, you need the ability to analyze data and do analytics and provide feedback immediately so that they can actually act. So do three, this specific targeted use case, even a country like India where they're talking about using 5g for very specific use cases, not replacing your phone calling. >>I love that point. And it kind of ties back into some of the other things you were saying about the a agility and the operational model. And I relate it back to it. You know, my, again, my perception of some telco maybe 20 years old and that they had a tendency to do very monolithic projects. And you know, when you're out, when you're rolling out a infrastructure across the country, there's a certain, uh, monolithic nature to it. But you're talking about rolling out one, rolling out individual projects rolling out. That's also the advice we give to it. Try it with one thing, you know, try open shift with that one application and then also though, but it takes uh, the upskilling and the cultural model. So true with your telco petitioners who are, we're on Slack, they're with you and I, you know, I don't, I don't know if there's any relation, any other kinds of things to pull out about the mirror of, of the it transformation with telco transformation and colon Turner. That's actually a good point that you bring up, >>right? Look, the costs of building, if I have infrastructure from ground up is extremely high. If they want to completely revamp that. You're talking about replacing every single radio, you're talking about adding capacity more adding, you know, backhaul capacity and so on. So that isn't going to happen overnight. It's going to happen. It may take even more 10 years. Right. I mean in the most interesting thing, that stat stack that I saw was even LTE is going to grow. LTE subscriber count is going to grow for the next two years before it flatmates. So we're not going to LTE four G that's been around for a decade almost. Right. And it's going to still grow for the next two years, then it's going to flatten and then you'll start to see more 5g subscribers. Now back to the point that you were bringing up in terms of operational model change and in terms of how things will be I D principles applying it principles to telco. >>Um, there are still some challenges that we need to solve in Coobernetti's environment in particular, uh, to address the teleco side of the house. And in fact through this particular proof of concept, that was one of the things we were really attempting to highlight and shine a light on. Um, but in terms of operational models, what use applicable and it will now be totally applicable on the telco network, the CIC pipeline. There's delivery of applications and software that testing and integration, the, you know, um, operational models. Absolutely. Those, in fact, I actually have a number of service providers and telcos that I talked to who are actually thinking about a common platform for it end telco network. And they are now saying, okay, red hat, can you help us in terms of designing this type of a system. So I think what could speak to you a little bit about, uh, in this context is how the same infrastructure can be used for any kind of application. So you want to talk about how the community's platform can be used to deploy CNS and then to deploy applications and how you've shown that. Yeah. Well this is what, >>what we have been doing, right. So we have, uh, the coordinators platform does, is actually deploy and the services we have, all these partners are bringing their Cloudnative uh, function, uh, applications on top of that, that what we are calling the CNF the quantities and network functions. And basically what we were doing as well during the whole process is that we have, those partners are still developing, still finishing the software. So we were building and deploying at the same time and testing on the same time. So during the last four months, and even I can tell you even just to deny >>even last night, so the full CACD pipeline that we deploy in ID side, here it is in operation on the network side. >>Well yeah. So, so I, I want to give you the final word cause you know, John was talking about it cycles, you know, if you think about enterprises, how long they used to take to deploy things, uh, and what cloud data is doing for them. Uh, it sounds like we're going through a similar trends. >>Absolutely big in a big way. Um, telcos are actually deploying a private cloud environment and they're also leveraging public cloud in mind. In fact, sometimes they using public cloud as sandbox for their development to be completed until they get deployed and private. Claremont, they still need the private time enrollment for their own purposes, like security, data sovereignty and uh, you know, their own operational needs. So, but they want to make it as transparent as possible. And in fact, that was one of the things we want to also attempted to show, which is a public cloud today, a private cloud and bare metal, a private cloud on OpenStack. And it was like, and you know, it came together, it worked, but it is real. That's more important. And, uh, for enterprise and for telcos to be literally going down the same path with respect to their applications, their services and their operational models. I think this is really a dream come true. >>Well, congratulations on the demo. Uh, but even more importantly, congratulations on the progress. Great to see, uh, you know, the global impact that's going to have in the telecommunications market. Definitely look forward to hearing more than. >>Thank you very much. Thank you. The opportunity to >>actually be here. All right. For John Troyer, I'm Stu Miniman back with lots more here from CubeCon Claude, date of con 2019 in San Diego, California. Thanks for watching the queue.

>>from our studios in the heart of Silicon Valley. Palo ALTO, California It is a cute conversation. >>Welcome to another wicked bond digital community event, this one sponsored by Clue Me. Oh, I'm your host, Peter Burroughs. Any business that aspires to be a digital business needs to think about its data differently. It needs to think about how data could be applied to customer experience, value propositions, operations and improve profitability and strategic options for the businesses that moves forward. But that means openly, either. We're thinking about how we embed data more deeply into our operations. That means we must also think about how we're going to protect that data. So the business is not suffer because someone got a hold of our data or corrupted our data or that system just failed and we needed to restore that data very quickly. Now what we want to be able to do is we're going to do that in a way that's natural and looks a lot like a cloud because we want that cloud experience in our data protection as well. So that's we're gonna talk about with Clue Meo Today, a lot of folks think in terms of moving all the data into the cloud. We think increasingly we have to recognize the cloud is not a strategy for centralizing data but rather distributing data and being able to protect that data where it is utilizing a simple, common cloudlike experience has become an increasingly central competitive need for a lot of digital enterprises. The first conversation we had was with poo John Kamar, who John is a CEO and co founder of Cuneo. Let's hear a Peugeot on had to say about data value. Data service is and clue Meo. John, Welcome to the show. >>Thank you. Very nice to be here. >>So give us the update. Include me. Oh, >>so come you. Ah, a two year old company, right? We dress recently launched out of stealth. So so far, you know, we we came out with the innovative offering which is a sass solution to go and protect on premises in November and vmc environments. That's what we launched out of style two months ago. We want our best of show. When we came out off Stilton in November 2019. But ultimately we started with a vision about protecting data respective off buried, recites So it was all about, you know, you know, on premises on Cloud and other SAS service is so one single service that protects data introspective about recites So far, we executed on on premises VM wear and Vmc. Today What we're announcing for the first time is our protection to go and protect applications natively built on aws. So these are application that ineptitude natively built on aws that clue me in as a service will protect respective off. You know them running, you know, in one region or cross region cross accounts and a single service little our customers to protect native AWS applications. The other big announcement we're making is a new round of financing, and that is testament to the interest in the space and the innovative nature off the platform that we have built. So when we came out of still, we announced we had raised two rounds of financing $51 million in series and series B round of financing. Today, what we're announcing is a serious see around the financing off $135 million the largest. I would say Siri see financing for a sass and the price company, especially a company that's a little over two years >>old. Look, graduations that's gonna buy a lot of new technology and a lot of customer engagement. But what customers is a set up from where customers are really looking for is they're looking for tooling and methods and capabilities that allow them to treat their data differently. Talk a bit about the central importance of data and how it's driving decisions. ACLU mia >>Yes, so fundamentally. You know, when we built out the data platform, it was about going after the data protection as the first use case in the platform. Longer term, the journey really is to go from a data protection company to a data management company, and this is possible for the first time because you have the public cloud on your side. If you're truly built a platform for the cloud on the public cloud, you have this distinct and want a JJ off. Now, taking the data that you're protecting and really leveraging it for other service is that you can enable the enterprise for, and this is exactly what and the prices are asking for, especially as they you know, you make a transition from on premises. So the public cloud where they're powering on more and more applications in the public cloud and they really, you know, sometimes have no idea in terms off where the data is sitting and how they can take advantage off all these data sources that ultimately clueless protecting >>Well, no idea where the data sitting take advantage of these data. Sources presumably facilitate new classes of integration because that's how you generate value out of data. That suggests that we're not just looking at protection as crucially important as it is we're looking at new classes of service is they're gonna make it possible to alter the way you think about data management. If I got that right and what are those in service is? >>Yes, it's It's a journey, As I said, very starting with Finnegan Data protection. It's also about doing there the protection across multiple clouds, right? So ultimately we had a platform. Even though we're announcing, you know, aws, you know, applications support. Today. We've already done the ember and BMC as we go along. You'll see us kind of doing this across multiple clouds, an application that's built on the cloud running across multiple clouds, AWS, Azure and DCP. Whatever it might be, you see, it's kind of doing there, the protection across in applications and multiple clouds. And then it's about going and saying, Can we take advantage of the data that we're protecting and really power on adjusting to use cases, they could be security use cases because we know exactly what's changing when it's changing. There could be infrastructure. Analytics use cases because people are running tens of thousands off instances and containers and envy EMS in the public cloud. And if a problem happens, nobody really knows what caused it. And we have all the data and we can kind off index it in the back end and lies in the back end without the customer needing to lift a finger and really show them what happened in their environment that didn't know about right. So there's a lot of interesting use cases that get powered on because you have the ability to index all the data year. You have the ability to essentially look at all the changes that are happening and really give that visibility. Tow the end customer and all of this one click and automating it without the customer needing to do much. >>I will tell you this that we've talked to a number of customers of Romeo and the fundamental choice. The clue. Meo choice was simplicity. How are you going to sustain that? Even as you have these new classes of service is >>that is the key right? And that is about the foundation we have built at the end of the day, right? So if you look at all of our customers that have on border today, it's really the experience where in less than 15 minutes they can essentially start enjoying the power of the platform and the back end that we have built. And the focus on design that we have is ultimately why we're able to do this with simplicity. So so when when we when we think about you know all the things we do in the back, and there's obviously a lot of complexity in the back end because it is a complex platform. But every time we ask ourselves the question that okay from a customer perspective, how do we make sure that it is one click and easy for them? So that focus and that attention to detail that we have behind the scenes to make sure that the customer ultimately should just consumed the service and should not need to do anything more than what they absolutely need to do so that they can essentially focus on what eggs value to the business >>takes a lot of technology, a lot of dedication to make complex things really simple. Absolutely. John Kumar, CEO and co founder of Coolio. Thanks very much for being on the Cube. Thank you. Great conversation with you, John. Data value leading to data service is now. Let's think a little bit more about how enterprises ultimately need to start thinking about how to manifest that in a cloud rich world, Chad Kenney is the vice president and chief acknowledges a Cuneo and Chad and I had an opportunity to sit down to talk about some of the interesting approach. Is that air possible because of cloud and very importantly, to talk about a new announcement that clue me is making as they expand their support of different cloud types? What's your Chad had to say? The notion of data service is has been around for a long time, but it's being upended, recast, reformed as a consequence of what cloud can do. But that also means that Cloud is creating new ways of thinking about data service. Is new opportunities to introduce and drive this powerful approach of thinking about digital businesses centralized assets and to have that conversation about what that means. We've got Chad Candy, who's a VP and chief technologist of Kumiko with us today. Chad, welcome to the Cube. >>Thanks so much for having me. >>Okay, so what? Start with that notion of data service is and the role because gonna play clue. Meo has looked at this problem or looked this challenge from the ground up. What does that mean? >>So if you look at the cloud is a whole customers have gone through a significant journey. We've seen you know that the first shadow I t kind of play out where people decided to go to the cloud I t was too slow. It moved into kind of a cloud first movement where people realize the power of cloud service is that then got them to understand a little bit of interesting things that played out one moving applications as they exist. We're not very efficient, and so they needed to re architect certain applications. Second, SAS was a core way of getting to the cloud in a very simplistic fashion without having to do much of whatsoever. And so, for applications that were not core competencies, they realized they should go sass. And for anything that was a core competency, they needed to really re architect to be able to take advantage of those very powerful cloud service is. And so when you look at it, if people were to develop applications today, cloud is the default. They'd go tours. And so for us, we had the luxury of building from the cloud up on these very powerful cloud service is to enable a much more simple model for our customers to consume. But even more so to be able to actually leverage the agility and elasticity of the cloud. Think about this for a quick second. We can take facilities, break them up, expand them across many different compute resource is within the cloud versus having to take kind of what you did on prim in a single server or multitudes of servers and try to plant that in the cloud from a customer's experience perspective. It's vastly different. You get a world where you don't think about how you manage the infrastructure, how you manage the service, you just consume it. And the value that customers get out of that is not only getting their data there, which is the on ramp around our data protection mechanisms, but also being able to leverage cloud. Native service is on top of that data in the longer term, as we have this one comment global index and platform. What we're super excited today to announce is that we're adding in eight of US native capabilities to be ableto protect that data in the public cloud. And this is kind of the default place where most people go to from a cloud perspective to really get their applications are up and running and take advantage of a lot of those cloud. Native service is >>well, if you're gonna be Claude native and promised to customers is going to support There were clothes. You've got to be obviously on eight of us, So congratulations on that. But let's go back to this notion of you use the word powerful 80 of the U. S. Is a mature platform, G C P is coming along very rapidly. Azure is also very, very good. There are others as well, but sometimes enterprises discover that they have to make some tradeoffs. To get the simplicity, they have to get less function, to get the reliability they have to get rid of simplicity. How does clue Meo think through those trade offs to deliver that simple? That powerful, that reliable platform for something is important. Data protection and data service is in general, >>so we wanted to create an experience that was single click, discover everything and be able to help people consume that service quickly. And if you look at the problem that people are dealing with a customer's talk to us about this all time is the power of the cloud resulted in hundreds, if not thousands of accounts within eight of us. And now you get into a world where you're having to try to figure out how did I manage all of these for one? Discover all of it and consistently make sure that my data, which, as you've mentioned, is incredibly important to businesses today as protected. And so having that one common view is incredibly important to start with, and the simplicity of that is immensely powerful. When you look at what we do as a business, to make sure that that continues to occur is first, we leverage cloud. Native Service is on the back, which are complex, and getting those things to run and orchestrate are things that we build on the back end on the front end. We take the customers view and looking at what is the most simple way of getting this experience to occur for both discovery as well as you know, backup recovery and even being able to search in a global fashion and so really taking their seats to figure out what would be the easiest way to both consume the service and then also be able to get value from it by running that service >>A W s has been around well, a ws in many respects founded the cloud industry. It's it's certainly sales force on the South side. But a W. S is the first company to make the promise that it was gonna provide this very flexible, very powerful, very agile infrastructures of service. And they've done absolutely marvelous job about it, and they've also advanced the stadium to the technology dramatically and in many respects, are in the driver's seat. What tradeoffs? What limits does your new platform faces? It goes to eight of us. Or is it the same Coolio experience, adding, Now all of the capabilities of eight of us? >>It's a great question. I think a lot of solutions out there today are different parts and pieces kind of club together. What we built is a platform that these new service is just get instantly added. Next time you log in to that service, you'll see that that available Thio and you could just go ahead and log in to your accounts and build to discover directly. And I think that the the power of sass is really that not only have we made it immensely secure, which is something that people think about quite a bit with having, you know, not only did in flight, but data at rest, encryption on and leveraging really the cloud capabilities of security. But we've made it incredibly simple for them to be able to consume that easily, literally not lift a finger to get anything done. It's available for you when you log into that system. And so having more and more data sources in one single pane of glass and being able to see all the accounts, especially in AWS, where you have quite a few of those accounts, and to be able to apply policies in a consistent fashion to ensure that your you know, compliant within the environment for whatever business requirements that you have around data protection is immensely powerful to our >>customers. Judd Jenny, chief technologist Clue me Oh, thanks very much for being on the Cube. Thank you. Great conversation. Chad especially interested in hearing about how Camilo is being extended to include eight of US service, is within its overall data protection approach and obviously into data service is let's take a little bit more into that clue. MEOWS actually generated and prepared a short video we could take a look at that goes a little bit more deeply into how this is all gonna work. >>Enterprises air moving rapidly to the cloud. Embracing sass for simplified delivery of key service is in this cloud centric world. I T teams could focus on more strategic work, accelerating digital transformation initiatives when it comes to backup. I t is stuck designing, patching and capacity planning for on Prem Systems. Snapshots alone for data protection in the public cloud is risky, and there are hundreds of unprotected SAS applications in the typical enterprise. Move to cloud should make backup simpler, but it can quickly become exponentially worse. It's time to rethink the backup experience. What if there were no hardware, software or virtual appliances to size, configure, manage or even by it all? And by adding enterprise backup, public cloud workloads are no longer exposed to accidental data Deletion and Ransomware and Clooney. Oh, we deliver secure data backup and recovery without any of that complexity or risk. We provide all of the critical functions of enterprise backup de Doop and scheduling user and key management and cataloging because were built in the public cloud, weaken rapidly, deliver new innovations and take advantage of inherent data security controls. Our mission is to protect your data wherever it's stored. The clue. Meo authentic SAS backup experience scales on demand to manage and protect your data more easily and efficiently. And without things like cloud bills or egress charges, Clooney oh gives you predictable costs. Monitor and global back of compliance is far simpler, and the built in always on security of clue. Meo means that your data is safe. Take advantage of the cloud for backup with no constraints. Clue. Meo Authentic sass for the Enterprise. >>Great video as we think about moving forward in the future and what customers are trying to do. We have to think more in terms of the native service is that cloud can provide and how to fully exploit them to increase the aggregate flexibility both within our enterprises, but also based on what our supplies have to offer. We had a great conversation with Runes Young, who is thesis CTO and co founder of Cuneo, about just that. Let's hear it wound had to say everybody's talking about the cloud and what the cloud might be able to do for their business. The challenge is there are a limited number of people in the world who really understands what it means to build for the cloud utilizing the cloud. It's a lot of approximations out there, but not a lot of folks are deeply involved in actually doing it right. We've got one here with us today, wound junk is thesis CEO and co founder of Clue Meo Womb. Welcome to the Cube. >>Happy to be here. >>So let's start with this issue of what it means to build for the cloud. Now Lou MEOWS made the decision to have everything fit into that as a service model. What is that practically need? >>So from the engineering point of view, building our sauce application is fundamentally different. So the way that I'll go and say is that at Cuneo we actually don't build software and ship software. What we actually do, it builds service and service is what you're actually shipped Our customers. Let me give you an example. In the case of Kun, you they say backups fail like so far sometimes fails. We get that failures too. The difference in between Clooney oh, and traditional solutions is that if something were to fail, we are they one detecting that failure before our customers do Not only that, when something fails, we actually know exactly why it failed. Therefore, we can actually troubleshoot it, and we can actually fix it and operate the service without the customer intervention. So it's not about the books also or about the troubleshooting aspect, but it's also about new features. If you were to introduce a new features, we can actually do this without having customers upgraded call. We will actually do it ourselves. So essentially it frees the customers from actually doing all these actions because we will do them on behalf of them >>at scale. And I think that's the second thing I want to talk about quickly. Is that the ability to use the cloud to do many of the things that you're talking about? At scale creates incredible ranges of options that customers have at their disposal. So, for example, a W s customers of historically used things like snapshots to provide ah modicum of data protection to their AWS workloads. But there are other new options that could be applied if the systems are built to supply them. Give us a sense of how clue Meal is looking at this question of, you know, snapshots were something else. >>Yes, So, basically, traditionally, even on the imprints, out of the things, you have something called the snapshots and you had your backups right, and they're they're fundamentally different. But if you actually shift your gears and you look at what A. W s offers today. They actually offers stability for you to take snapshots. But actually, that's not a backup, right, And they're fundamentally different. So let's talk about it a little bit more what it means to be snapshots and a backup, right? So they say, there's a bad actor and your account gets compromised like your AWS account gets compromised. So then the bad actor has access not only to the EBS volumes, but also to the snap shows. What that means is that that person can actually go in and delete the E. V s volume as well as the TVs nuptials. Now, if you had a backup, let's say you are should take a backup of that TVs William to whom you that bad actor would have access to the CVS volumes. However, it won't be able to delete the backup that we actually have, including you. So in the whole thing. The idea off Romeo is that you should be able to protect all of your assets, that being either an on Prem or neither of us by setting up a single policies. And these are true backups and not just snapshots >>and that leads to the last question I have, which is ultimately the ability to introduce thes capabilities. At scale creates a lot of new opportunities of customers can utilize to do a better job of building applications, but also, I presume, managing how they use AWS because snapshots and other types of service can expand dramatically, which can increase your cost. How is doing it better with things like Native Backup Service is improve customers ability to administer the AWS spend and accounts. >>So, great question. So, essentially, if you look at the enterprises today, obviously they have multiple on premise data centers and also a different car providers that they use like AWS and Azure and also a few SAS applications, Right? So then the idea is for Camilo is to create this single platform what all of the stains can actually be backed up in a uniform way where you can actually manage all of them. And then the other thing is all doing it in the cloud. So if you think about it, if you don't solve the problem, fundamental in the cow, their stings that you end up paying later on. So let's take an example. Right. Uh, moving bites. Moving bites in between one server to the other. Traditionally basically moving bites from one rack to the other. It was always free. You never had to pay anything for that. >>Certainly in the data center. >>Right? But if you actually go to the public cloud, you cannot say the same thing, right? Basically, moving by across AWS recent regions is not free anymore. Moving data from AWS to the on premises. That's not for either. So these are all the things that you know cop provider service providers are gods has to consider and actually solved so that the customers can on Lee back it up into come you. But then they actually can leverage different cloud providers, you know, in a seamless way, without having to worry all of this costs associated with it so criminal we should be able to back it up. But we should be able to also offer mobility in between either aws back up the M word or the M C. >>So if I can kind of summarize what you just said that you want to be able to provide to an account to an enterprise, the ability to not have to worry about the back and infrastructure from a technical and process standpoint, but not also have to worry so much about the back and infrastructure from a cost of financial standpoint that by providing a service and then administering how that service is optimally handled, the customer doesn't have to think about some of those financial considerations of moving get around in the same way that they used to. Have I got that right, >>I absolutely, yes, basically multiple accounts, multiple regions, multiple couple providers. It is extremely hard to manage. What come your does. It will actually provide you a single pane of glass where you can actually manage them all. But then, if you actually think about just and manageability this, actually you can actually do that by just building a management layer on top of it. But more importantly, you really need to have a single data repository for you. For us to be able to provide a true mobility in between them. One is about managing, but the other thing is about if you're done, if you're done in the real divide way, it provides you the ability to move them and leverages the cloud power so that you don't have to worry about the cloud expenses but whom you internally is the one that actually optimizing all of this for our customers. >>Wound young cto and co founder of Coolio. Thanks very much for being on the Q. Thank you. Thanks very much. Room I want to thank clue me Oh, for providing this important content about the increasingly important evolution of data protection Cloud. Now, here's your opportunity to weigh in on this crucially important arena. What do you think about this evolving relationship? How do you foresee it operating in your enterprise? What comments do you have? What questions do you have of the thought leaders from Clue Me? Oh, and elsewhere. That's what we gonna do now we're gonna go into the crowd chat. We're gonna hear from each other about this really important topic and what you foresee in your enterprise as your digital business transforms, it's crochet

>>live from Miami, Florida It's the Q covering. IBM is data in a I forum brought to you by IBM. >>Welcome back to the port of Miami, everybody. We're here at the Intercontinental Hotel. You're watching the Cube? The leader and I live tech covered set. Daubert is here. He's the vice president of data and I and a I and the chief data officer of cloud and cognitive software. And I'd be upset too. Good to see you again. >>Good. See, Dave, thanks for having me >>here. The data in a I form hashtag data. I I It's amazing here. 1700 people. Everybody's gonna hands on appetite for learning. Yeah. What do you see out in the marketplace? You know what's new since we last talked. >>Well, so I think if you look at some of the things that are really need in the marketplace, it's really been around filling the skill shortage. And how do you operationalize and and industrialize? You're a I. And so there's been a real need for things ways to get more productivity out of your data. Scientists not necessarily replace them. But how do you get more productivity? And we just released a few months ago, something called Auto A I, which really is, is probably the only tool out there that automates the end end pipeline automates 80% of the work on the Indian pipeline, but isn't a black box. It actually kicks out code. So your data scientists can then take it, optimize it further and understand it, and really feel more comfortable about it. >>He's got a eye for a eyes. That's >>exactly what is a eye for an eye. >>So how's that work? So you're applying machine intelligence Two data to make? Aye. Aye, more productive pick algorithms. Best fit. >>Yeah, So it does. Basically, you feed it your data and it identifies the features that are important. It does feature engineering for you. It does model selection for you. It does hyper parameter tuning and optimization, and it does deployment and also met monitors for bias. >>So what's the date of scientists do? >>Data scientist takes the code out the back end. And really, there's some tweaks that you know, the model, maybe the auto. Aye, aye. Maybe not. Get it perfect, Um, and really customize it for the business and the needs of the business. that the that the auto A I so they not understand >>the data scientist, then can can he or she can apply it in a way that is unique to their business that essentially becomes their I p. It's not like generic. Aye, aye for everybody. It's it's customized by And that's where data science to complain that I have the time to do this. Wrangling data >>exactly. And it was built in a combination from IBM Research since a great assets at IBM Research plus some cattle masters at work here at IBM that really designed and optimize the algorithm selection and things like that. And then at the keynote today, uh, wonderment Thompson was up there talking, and this is probably one of the most impactful use cases of auto. Aye, aye to date. And it was also, you know, my former team, the data science elite team, was engaged, but wonderment Thompson had this problem where they had, like, 17,000 features in their data sets, and what they wanted to do was they wanted to be able to have a custom solution for their customers. And so every time they get a customer that have to have a data scientist that would sit down and figure out what the right features and how the engineer for this customer. It was an intractable problem for them. You know, the person from wonderment Thompson have prevented presented today said he's been trying to solve this problem for eight years. Auto Way I, plus the data science elite team solve the form in two months, and after that two months, it went right into production. So in this case, oughta way. I isn't doing the whole pipeline. It's helping them identify the features and engineering the features that are important and giving them a head start on the model. >>What's the, uh, what's the acquisition bottle for all the way as a It's a license software product. Is it assassin part >>of Cloudpack for data, and it's available on IBM Cloud. So it's on IBM Cloud. You can use it paper use so you get a license as part of watching studio on IBM Cloud. If you invest in Cloudpack for data, it could be a perpetual license or committed term license, which essentially assassin, >>it's essentially a feature at dawn of Cloudpack for data. >>It's part of Cloudpack per day and you're >>saying it can be usage based. So that's key. >>Consumption based hot pack for data is all consumption based, >>so people want to use a eye for competitive advantage. I said by my open that you know, we're not marching to the cadence of Moore's Law in this industry anymore. It's a combination of data and then cloud for scale. So so people want competitive advantage. You've talked about some things that folks are doing to gain that competitive advantage. But the same time we heard from Rob Thomas that only about 4 to 10% penetration for a I. What? What are the key blockers that you see and how you're knocking them >>down? Well, I think there's. There's a number of key blockers, so one is of access to data, right? Cos have tons of data, but being able to even know what data is, they're being able to pull it all together and being able to do it in a way that is compliant with regulation because you got you can't do a I in a vacuum. You have to do it in the context of ever increasing regulation like GDP R and C, C, P A and all these other regulator privacy regulations that are popping up. So so that's that's really too so access to data and regulation can be blockers. The 2nd 1 or the 3rd 1 is really access to appropriate skills, which we talked a little bit about. Andi, how do you retrain, or how do you up skill, the talent you have? And then how do you actually bring in new talent that can execute what you want on then? Sometimes in some cos it's a lack of strategy with appropriate measurement, right? So what is your A II strategy, and how are you gonna measure success? And you and I have talked about this on Cuban on Cube before, where it's gotta measure your success in dollars and cents right cost savings, net new revenue. That's really all your CFO is care about. That's how you have to be able to measure and monitor your success. >>Yes. Oh, it's so that's that Last one is probably were where most organizations start. Let's prioritize the use cases of the give us the best bang for the buck, and then business guys probably get really excited and say Okay, let's go. But to up to truly operationalize that you gotta worry about these other things. You know, the compliance issues and you gotta have the skill sets. Yeah, it's a scale. >>And sometimes that's actually the first thing you said is sometimes a mistake. So focusing on the one that's got the most bang for the buck is not necessarily the best place to start for a couple of reasons. So one is you may not have the right data. It may not be available. It may not be governed properly. Number one, number two the business that you're building it for, may not be ready to consume it right. They may not be either bought in or the processes need to change so much or something like that, that it's not gonna get used. And you can build the best a I in the world. If it doesn't get used, it creates zero value, right? And so you really want to focus on for the first couple of projects? What are the one that we can deliver the best value, not Sarah, the most value, but the best value in the shortest amount of time and ensure that it gets into production because especially when you're starting off, if you don't show adoption, people are gonna lose interest. >>What are you >>seeing in terms of experimentation now in the customer base? You know, when you talk to buyers and you talk about, you know, you look at the I T. Spending service. People are concerned about tariffs. The trade will hurt the 2020 election. They're being a little bit cautious. But in the last two or three years have been a lot of experimentation going on. And a big part of that is a I and machine learning. What are you seeing in terms of that experimentation turning into actually production project that we can learn from and maybe do some new experiments? >>Yeah, and I think it depends on how you're doing the experiments. There's, I think there's kind of academic experimentation where you have data science, Sistine Data science teams that come work on cool stuff that may or may not have business value and may or may not be implemented right. They just kind of latch on. The business isn't really involved. They latch on, they do projects, and that's I think that's actually bad experimentation if you let it that run your program. The good experimentation is when you start identity having a strategy. You identify the use cases you want to go after and you experiment by leveraging, agile to deliver these methodologies. You deliver value in two weeks prints, and you can start delivering value quickly. You know, in the case of wonderment, Thompson again 88 weeks, four sprints. They got value. That was an experiment, right? That was an experiment because it was done. Agile methodologies using good coding practices using good, you know, kind of design up front practices. They were able to take that and put it right into production. If you're doing experimentation, you have to rewrite your code at the end. And it's a waste of time >>T to your earlier point. The moon shots are oftentimes could be too risky. And if you blow it on a moon shot, it could set you back years. So you got to be careful. Pick your spots, picked ones that maybe representative, but our lower maybe, maybe lower risk. Apply agile methodologies, get a quick return, learn, develop those skills, and then then build up to the moon ship >>or you break that moon shot down its consumable pieces. Right, Because the moon shot may take you two years to get to. But maybe there are sub components of that moon shot that you could deliver in 34 months and you start delivering knows, and you work up to the moon shot. >>I always like to ask the dog food in people. And I said, like that. Call it sipping your own champagne. What do you guys done internally? When we first met, it was and I think, a snowy day in Boston, right at the spark. Some it years ago. And you did a big career switch, and it's obviously working out for you, But But what are some of the things? And you were in part, brought in to help IBM internally as well as Interpol Help IBM really become data driven internally? Yeah. How has that gone? What have you learned? And how are you taking that to customers? >>Yeah, so I was hired three years ago now believe it was that long toe lead. Our internal transformation over the last couple of years, I got I don't want to say distracted there were really important business things I need to focus on, like gpr and helping our customers get up and running with with data science, and I build a data science elite team. So as of a couple months ago, I'm back, you know, almost entirely focused on her internal transformation. And, you know, it's really about making sure that we use data and a I to make appropriate decisions on DSO. Now we have. You know, we have an app on her phone that leverages Cognos analytics, where at any point, Ginny Rometty or Rob Thomas or Arvin Krishna can pull up and look in what we call E P M. Which is enterprise performance management and understand where the business is, right? What what do we do in third quarter, which just wrapped up what was what's the pipeline for fourth quarter? And it's at your fingertips. We're working on revamping our planning cycle. So today planning has been done in Excel. We're leveraging Planning Analytics, which is a great planning and scenario planning tool that with the tip of a button, really let a click of a button really let you understand how your business can perform in the future and what things need to do to get it perform. We're also looking across all of cloud and cognitive software, which data and A I sits in and within each business unit and cloud and cognitive software. The sales teams do a great job of cross sell upsell. But there's a huge opportunity of how do we cross sell up sell across the five different businesses that live inside of cloud and cognitive software. So did an aye aye hybrid cloud integration, IBM Cloud cognitive Applications and IBM Security. There's a lot of potential interplay that our customers do across there and providing a I that helps the sales people understand when they can create more value. Excuse me for our customers. >>It's interesting. This is the 10th year of doing the Cube, and when we first started, it was sort of the beginning of the the big data craze, and a lot of people said, Oh, okay, here's the disruption, crossing the chasm. Innovator's dilemma. All that old stuff going away, all the new stuff coming in. But you mentioned Cognos on mobile, and that's this is the thing we learned is that the key ingredients to data strategies. Comprised the existing systems. Yes. Throw those out. Those of the systems of record that were the single version of the truth, if you will, that people trusted you, go back to trust and all this other stuff built up around it. Which kind of created dissidents. Yeah. And so it sounds like one of the initiatives that you you're an IBM I've been working on is really bringing in the new pieces, modernizing sort of the existing so that you've got sort of consistent data sets that people could work. And one of the >>capabilities that really has enabled this transformation in the last six months for us internally and for our clients inside a cloud pack for data, we have this capability called IBM data virtualization, which we have all these independent sources of truth to stomach, you know? And then we have all these other data sources that may or may not be as trusted, but to be able to bring them together literally. With the click of a button, you drop your data sources in the Aye. Aye, within data. Virtualization actually identifies keys across the different things so you can link your data. You look at it, you check it, and it really enables you to do this at scale. And all you need to do is say, pointed out the data. Here's the I. P. Address of where the data lives, and it will bring that in and help you connect it. >>So you mentioned variances in data quality and consumer of the data has to have trust in that data. Can you use machine intelligence and a I to sort of give you a data confidence meter, if you will. Yeah. So there's two things >>that we use for data confidence. I call it dodging this factor, right. Understanding what the dodging this factor is of the data. So we definitely leverage. Aye. Aye. So a I If you have a date, a dictionary and you have metadata, the I can understand eight equality. And it can also look at what your data stewards do, and it can do some of the remediation of the data quality issues. But we all in Watson Knowledge catalog, which again is an in cloudpack for data. We also have the ability to vote up and vote down data. So as much as the team is using data internally. If there's a data set that had a you know, we had a hive data quality score, but it wasn't really valuable. It'll get voted down, and it will help. When you search for data in the system, it will sort it kind of like you do a search on the Internet and it'll it'll down rank that one, depending on how many down votes they got. >>So it's a wisdom of the crowd type of. >>It's a crowd sourcing combined with the I >>as that, in your experience at all, changed the dynamics of politics within organizations. In other words, I'm sure we've all been a lot of meetings where somebody puts foursome data. And if the most senior person in the room doesn't like the data, it doesn't like the implication he or she will attack the data source, and then the meeting's over and it might not necessarily be the best decision for the organization. So So I think it's maybe >>not the up, voting down voting that does that, but it's things like the E PM tool that I said we have here. You know there is a single source of truth for our finance data. It's on everyone's phone. Who needs access to it? Right? When you have a conversation about how the company or the division or the business unit is performing financially, it comes from E. P M. Whether it's in the Cognos app or whether it's in a dashboard, a separate dashboard and Cognos or is being fed into an aye aye, that we're building. This is the source of truth. Similarly, for product data, our individual products before me it comes from here's so the conversation at the senior senior meetings are no longer your data is different from my data. I don't believe it. You've eliminated that conversation. This is the data. This is the only data. Now you can have a conversation about what's really important >>in adult conversation. Okay, Now what are we going to do? It? It's >>not a bickering about my data versus your data. >>So what's next for you on? You know, you're you've been pulled in a lot of different places again. You started at IBM as an internal transformation change agent. You got pulled into a lot of customer situations because yeah, you know, you're doing so. Sales guys want to drag you along and help facilitate activity with clients. What's new? What's what's next for you. >>So really, you know, I've only been refocused on the internal transformation for a couple months now. So really extending IBM struck our cloud and cognitive software a data and a I strategy and starting to quickly implement some of these products, just like project. So, like, just like I just said, you know, we're starting project without even knowing what the prioritized list is. Intuitively, this one's important. The team's going to start working on it, and one of them is an aye aye project, which is around cross sell upsell that I mentioned across the portfolio and the other one we just got done talking about how in the senior leadership meeting for Claude Incognito software, how do we all work from a Cognos dashboard instead of Excel data data that's been exported put into Excel? The challenge with that is not that people don't trust the data. It's that if there's a question you can't drill down. So if there's a question about an Excel document or a power point that's up there, you will get back next meeting in a month or in two weeks, we'll have an e mail conversation about it. If it's presented in a really live dashboard, you can drill down and you can actually answer questions in real time. The value of that is immense, because now you as a leadership team, you can make a decision at that point and decide what direction you're going to do. Based on data, >>I said last time I have one more questions. You're CDO but you're a polymath on. So my question is, what should people look for in a chief data officer? What sort of the characteristics in the attributes, given your >>experience, that's kind of a loaded question, because there is. There is no good job, single job description for a chief date officer. I think there's a good solid set of skill sets, the fine for a cheap date officer and actually, as part of the chief data officer summits that you you know, you guys attend. We had were having sessions with the chief date officers, kind of defining a curriculum for cheap date officers with our clients so that we can help build the chief. That officer in the future. But if you look a quality so cheap, date officer is also a chief disruption officer. So it needs to be someone who is really good at and really good at driving change and really good at disrupting processes and getting people excited about it changes hard. People don't like change. How do you do? You need someone who can get people excited about change. So that's one thing. On depending on what industry you're in, it's got to be. It could be if you're in financial or heavy regulated industry, you want someone that understands governance. And that's kind of what Gardner and other analysts call a defensive CDO very governance Focus. And then you also have some CDOs, which I I fit into this bucket, which is, um, or offensive CDO, which is how do you create value from data? How do you caught save money? How do you create net new revenue? How do you create new business models, leveraging data and a I? And now there's kind of 1/3 type of CDO emerging, which is CDO not as a cost center but a studio as a p N l. How do you generate revenue for the business directly from your CDO office. >>I like that framework, right? >>I can't take credit for it. That's Gartner. >>Its governance, they call it. We say he called defensive and offensive. And then first time I met Interpol. He said, Look, you start with how does data affect the monetization of my organization? And that means making money or saving money. Seth, thanks so much for coming on. The Cube is great to see you >>again. Thanks for having me >>again. All right, Keep it right to everybody. We'll be back at the IBM data in a I form from Miami. You're watching the Cube?

>> from Austin, Texas. It's Theo Cube, covering your storage. Accelerate 2019. Brought to you by pure storage. >> Hi, Lisa Martin with the Cube. Dave Ilan Taste. My co host were at pure Accelerate 2019 in Austin, Texas. One of our Cube alumni is back with us. We have probably the VP and chief architect at Pier Storage. Rob. Welcome back. >> Thanks for having. >> We're glad you have a voice. We know how challenging these events are with about 3000 partners, customers press everybody wanting to talk to one of the men that was on the keynote stage yesterday for announcements came out really enjoyed yesterday's keynote. But let's talk about one of those announcements in particular Piers Bridge to the hybrid cloud. >> Absolutely, absolutely. Yeah. No, I mean, I think it's been a really exciting conference for us so far. Like you said, a lot of payload coming out, you know, as faras the building, the bridge of the hybrid cloud. This has been, you know, this has been I would say a long time coming, right? We've been working down this path for for a couple of years. We started by bringing some of the cloud like capabilities that customers really wanted and were able to achieve into the cloud back into the data center. Right. So you saw us do this in terms of making our own prem products easier to manage, easier to use, easier to automate, you know. But what? Working with customers of the last couple of years, you know, we realized, is that, uh as the cloud hype kind of subsided and people were taking a more measured view of where the cloud fits into their strategies, what tools it brings. You know, we realized that we could add value in the public cloud environment, the same types of enterprise capabilities, the same type of features rich data service is feature sets things like that that we do on premise in the cloud. And so what we're looking to achieve is actually quite simple, all right. We want to give customers the choice whether whether customers want to run on premise or in the cloud. That's just a choice of we wanted. We wanted to make an environmental choice. We don't want it. We don't wanna put customers in a position where they have to make that choice and feel trapped in one location another because of lack of features, lack of capabilities. You know, our economics on DSO the way that we do that is by building the same types of capabilities that we do on Prem in the cloud giving customers the freedom and flexibility to be agile. >> But, you know, you mentioned economics and you were talking from a customer standpoint. I wanna flip it from a from a technology supplier standpoint, the economics of a vendor who traditionally cells on Prem. You would think would be better than one in the cloud. Because you gotta you pay an Amazon for all their service is or I guess, the customers paying for it. But you kind of saw your way through that. A lot of companies would be defensive on. I wonder if you could add any comment. Yeah. No, I mean so So, look, I think >> the >> hardware is only one piece of it, right? At the end of the day, you know, even our products on Prem are really they're really priced for value. Right? There were delivering value to customers in our capabilities are ease of use or simplicity. The types of applications and work close to being able. Um, and basically, everything I just said is pretty much driven by software features by bringing those same capabilities into the cloud, you know, naturally, we you know, naturally that most of that work is really in software, you know, And then, as faras comparing the economics directly of on Prem versus Cloud. You know, it's it's really no secret as the industry's gotten Maur. Understanding that, you know the cloud isn't isn't the low cost option in a lot of use cases, right? And so, rather than comparing apples to apples on premises cloud either on performance or economics, our goal is really to build the best products in either environment. So if a customer wants to run on Prem wanna build the best darn products in that environment, the customer wants to run in the public cloud. We want to build the best darn product for them in that environment on dhe. Increasingly, as customers want Thio use, both environments hand in hand, want to build the right capabilities to allow them. TOC mostly do that >> Well, I think it makes sense because, as you know, we're talking to some customers. Last night he asking what they have in their data center. And they got a lot of stuff in the data center. To the extent that a company like pure can say, OK, you've got simple, fast et cetera on prim. And we've now extended that to the cloud. Your choice. They're going to spend Maur with you than they are with the guys that fight that. >> Yeah, absolutely. And, you know, I think if you look at our approach and how we've built the products and how were, you know, taking them to market? We've taken a very different approach than some of the competitive set. You know, in some ways, we've really just extended the same way that we think about innovation and product engineering from our existing on prime portfolio into the cloud, which is we look for heart problems to solve way take the hard road, we build differentiated products. Even if it takes us a little bit longer, you can see that, you know, in the product offerings, right? We've really focused on enabling tier one mission critical applications. If you look at the competitive, said they haven't started their their reason why we did that. All right, is we knew that you know, we had customers telling us, like if if you're a customer and you want to use the cloud and you want to think about the cloud is a D R site well, when something goes wrong and you two fell over duty, our site, you you need to be sure that it works exactly the same way there as it did on problem. That's everything from data service is data path features to all of the work flows. An orchestration to go around it because when your primary site goes down is not the time when you want to be discovering that. Oh, there's a footnote on that future and it's that's not supported in the cloud version, that sort of thing on dso you know that, Like I said, you know, the focus that we've put on the product development we've done towards Cloud Block stores really been around creating the same level of enterprise grade features on enabling those applications in the cloud as we do in private. >> You know, we don't make the Amazon storage. We make the Amazon storage better. What's that commercial? Essentially what? That's essentially >> what we've done You know, the great thing about that is that we've done it in close partnership with Amazon, right? You know, we had Amazon on stage yesterday on day, were talking a little bit about that partnership process. And ultimately, I think why that partnership has been so successful is we're both ultimately driven by the same thing, which is customer success. All right. In the early days of working with Amazon as we started coming up with the concept of club block store and consulting them on, we're thinking about building it this way. What do you think? What service is should be, You know, should we leverage and m in eight of us to make this happen? It became pretty clear to them that we were setting out to build a differentiated product and not just tick off check boxes on dhe. That's when they their eyes really okay, way. We really would like you to do a differentiated product here. >> Hey, if this takes off, we're gonna sell all the C two at three. >> What are some of the things Sorry day that you've been with here about six years? What are some of the things that have surprised you pleasantly that the customers have catalysed from an architecture perspective that customer feedback coming back t your team and the and the guys and girls engineering the product. Customers are demanding a certain thing that maybe wasn't something that was an internal idea but really was catalyzed by customers anything that just really I think it's very cool. Very surprising. >> Yeah. No, I mean, I think I think a >> couple of things. I think personally one of the things that surprised me was, you know, when I joined Pure in 2013 you know, we're all we're all about simplicity, right? You talk to cause who I think you had on the show earlier. You know, in the early days who tell you our differentiators gonna be simplicity and I got to say when I first joined the company is a little skeptical is like All right, I get it. Simplicity is a thing. Is it really a differentiator? I very quickly was surprised based on customer feedback that no, it really is very, very meaningful on. And that's something that we take all the way through Engineering. Write everything down, Thio how we design features and put them in the user interfaces. If there's, you know, there's an engineer that wants to put a configuration hook or a knob or ah on option in the user interface way kind of stop and say, Well, G, how would you document that? How would you suggest the user make a decision? Tea set that value will describe and say, Okay, well, g, we can make that decision, can't we? Right? Like, why don't we just want we just make it simpler And so that's been That's been a big surprise, I think, from a customer catalyzed, uh, point of view. What I'd say is we've been really surprised at a lot of the use cases that the flash blade product has been put into play for. And, you know, I think a I was one of them when we when we first set out, we had really targeted Flash played at addressing a segment of the commercial HPC Chip Design Hardware Design software development market. Andi is actually a set of customers, very large Web property customer that came to us with an A I use case. They said, Hey, you know, we've got a ton of data video images, uh, text postings. And we want to do a lot of analysis of this. All right, I want to do a facial recognition. We want to do content and sentiment analysis. We've got the Jeep use. We think you guys have the right storage product for that, and that's really that's really taken off. And that was very much a customer driven area. We >> talked a little bit about that within video yesterday. About some of the customer catalyzed innovation where a is concerned. >> Absolutely. What do you see is the critical technical skills that pure needs in the next decade. I mean, you're five. Correct? Remember, you can't have a networking background. Internal networking, I guess of you got guys from Veritas, right? Obviously strong software file system. What do you What do you see is the critical skill. Yeah, that's >> a good question. You know, we have a very diverse team, all right? We we in engineering typically higher and look for people with strong systems, backgrounds that are willing to learn and want to solve her problems. We, you know, typically haven't hired very specific domain areas myself, my doctor, and is in language run times and compilers, Oh, distributed systems so a bit all over the map, You know, What I'd say is that the first phase of pure the first kind of decade was really about reinventing the storage experience on for me. I look at it as taking lessons from the consumer experience, bringing him into the storage on Enterprise World. Three iPhones, example. That's used a lot. There's a couple of examples you can think of. I think the next phase of what we're trying to do and you heard Charlie talk about this on stage with a modern date experience is take some lessons from the cloud experience and bring them into the enterprise. Right? So the first phase is about consumer simplicity for a human think the next phase is really about bring in some more of the cloud experience for enabling automation and dev ops and management orchestration. >> So what kind of work? A long, long, lot of work to do to get we envisioned this massively scalable distributed system where you have that cloud experience no matter where your data lives, that's not there today, Um, and you don't want to ship your date around, it'd be too much data. So you're on a ship metadata and have the intelligence tow. Bring the compute to that. That data. >> What do you >> got to do? What's the work that you have to do to actually make that seamless? That there's that over word overuse word again. It's not seamless today. Yeah, >> so? So, look, I mean, I think there's there's a lot of angles to it right on. And we're gonna We're gonna work our way there to your point. You know, it's not there today, but, you know, you're you're starting to see us lay the groundwork with all the announcements that came out today, right under the umbrella of Hey, we want to end up creating more portable, more seamless, more agile experience for customers. You can see where, as we bring Maur storage media's into play different classes of service, different balances of performance and cost, bringing those together in a way so that an application can use them income in the right combinations, you know, bring a I into play to help customers do that seamlessly and transparently eyes a big part of it. You can see multiple location kind of agility that we're bringing into play with Claude Block >> store >> enabled, like loud snap and snap shot mobility. Things like that on Dhe. Then you know, I think, as we move beyond the block world and way look att, what we can able with applications that sit on top of file on object protocols. There's a lot of, ah, a lot of greenfield there, right? So you know, we think object storage is very attractive, and we're starting to see that as the application vendors, right, as the applications that sit on top of the storage layer are really embracing object storage as the cloud native storage interface, if you will, that's creating a lot of, ah, a lot of, uh, you know, a lot of ways to share data, right? We're starting to see it, even within the data center, where multiple applications now are able to share data because object storage is being used. And so, like I said, there's a lot of angles to this right. There's there's bringing multiple discreet A raise together under the same management plane. There's bringing multiple different types of storage media a little bit closer together from a seamless application mobility perspective. There's bring multiple locations, data centers, clouds together from a migration a d R perspective. And then there's, you know, there's bringing a global name space type of capability to the table, so it's a long journey. But you know, we think it's the right one. And you know what we ultimately want to do is, you know, have customers be able to think about, be ableto provisioned, be able to manage to not just an array, but really more of like an A Z, right. I want a pool. I want it to be about a fast. But you know, I'm willing to pay about yea much for it, and I need this types of data protection policies for it. Please make it happen >> and anywhere do you So you see, it is technically feasible to be able to run any app, any workload on any cloud or on Prem without having a re compile the application, make changes to the application. That's what I really kind of meant by Seamus that you see that as technically feasible in the next called 5 to 10 years, I'll give you I think >> I think it'll take a long wait a long time we'll get there. And I think, you know, I think it'll depend on the application. All right. I think there are gonna be some combinations that look. I mean, if if you have a high, high frequency, low latent see trading database, there's physical limitations, you're not going to run the application here and put the storage in the cloud. But if we if we step back from it, right, the concept, Yeah. I mean, I think that a lot of a lot of things are becoming possible to make this happen, right? Fastener networking is everywhere. It's getting faster application architectures and making it more feasible. You know, the media costs and what we're able to drive out of the media are bringing a lot a lot more than work leads to flash A eyes is coming into play. So, like I said, it's gonna be different on the on the application. But, you know, I think we're entering a phase where, you know, the modern software developer doesn't wanna have to think too hard about where is you know where physically what six sides of sheet metal is. My dad is sitting on. They want to think about what I need from it. What do we need from in terms of capacity, what we need from it in terms of performance, what we need from it in terms of data service capabilities. All right, ends, you know, And I need to be able to control that elastic Lee. I need to be able to control that through my application through software, and that's kind of what we're building towards. >> Last question, Rob, as we wrap up here, feedback that you've heard the last day and 1/2 on some of the news that came out yesterday from customers, analysts, partners. >> Yeah, you know, I'd say if I were to net it out. I think the one piece of you, Doc, we've gotten this. Wow, you guys have a lot of stuff on. It's really nice to see you guys talking about stuff. It's available today, right? That >> that's a >> lot of eyes on that screen. And, you know, I think I had a KN analysts say to me, You know, this is it's really refreshing. Thio kind of See you guys take a both you know, the viewpoint of the customer. What you're delivering the customer, what you're enabling on then be, You know, I got a lot of tech conferences and I hear a lot about, like, way off in the future. Envisioned Andi feedback we got was you guys had a really good balance of reality today. What, You're helping customers today? What's available today to do that? And enough of the hay. And here's where we're headed. So >> we actually heard the same thing. So good stuff, right? Well, congrats on the 10th anniversary, and we appreciate you joining us on the Cube. We look forward to next year already in whatever city. You're gonna take us to >> two. Thanks a lot. >> All right. For day, Volante. I'm Lisa Martin. You're watching the Cube. Thanks for watching.

>> from Austin, Texas. It's Theo Cube, covering your storage. Accelerate 2019. Brought to you by pure storage. >> Welcome back to the Q B. All the leader in live tech coverage. I'm Lisa Martin with David Dante. Couple of gents back on the Cube we have on Stuart the VP of technology for pure von. Welcome back. >> It's great to be here. Thanks for being accelerate. >> Were accepted severe. And we've got Carrie Stanton, VP of Global Biz Dev and corporate development from Theme Carrie, Welcome back. Thank you very much. I'm in the rain. I love the love it planned. Of course. Thank you. Very good branding here. Lots going on with theme and pure. Let's secure. Let's go ahead and start with you. Talk to us about the nature of the V Impure partnership. I'm assuming better together, but give us the breakdown. Sure, >> we've had a relationship for many years, but over the past three years we've seen it. You know, this year, counting this year, like the scale out is just unbelievable. We're growing at triple digits on our Cosell winds in the field, all of its writing, all of the predominantly being driven from the flash blade success that we've had in the marketplace, Our customers are buying into the performance that they have. Our our relationship is growing through joint innovation and joint development. And so what we've seen is raising them to a global partner, on having dedicated resources on it, as only amplified our success. We have. So yeah, it's fantastic. >> And then one from your perspective, what are some of the things that you are hearing? Are you guys being brought in? Maur from team customers is being being brought in more from pure side. What's that mixed like >> we've had? We've had a strong set of channel partners that I think promoting our joint solution on our products kind of a top of their line card. Of course, there's always the customer requested to get pulled in, and I think customers who have experienced either one of our products look at their satisfaction. They look extremely it, like NPS scores right and say, you know, if I'm a pure customer, there's a data protection company. That's gotta nps very similar years, you know, tell us more about what you're doing with with theme. If you look at kind of our common ethos. Right simplicity in the model right co innovation Help Dr Scale. Whether it's been through joint A P I integration with the universal adaptor or tryingto lean into next generation architectures like Flash to flash the cloud. It's just been a very easy progressive partnership to drive and bring in a market. >> Talk more about that joint development. Um, there's a start in the field. No engineering resource is I'd love to Have you had some color to that? >> I think I think I think it's >> a combination of. So we'll start with a universal adapter that was beams initiative to help add scale to the back of process to as you're putting virtue machines into backup mode along, you know, leverage these the storage controller snapshots so that you could come in and out of that back about very quick. V, invisible to production operations, offload a bunch of data processing and in time, out of the equation that just helps scale right back up, more virtual machines faster. That's a program that they initiated that we were one of the founding partners on one of the first partners to publish ah Universal adaptor, or R A p i for it. The >> results have been The results are pure is by far the number one partner for downloads for a customer downloads that we have across our partner Rico system. So we have a vote 15 partner Rico Systems that have written to the universal FBI on. So just last week, you know, over 3000 downloads surpassed over 3000 downloads. Here is 6500 customers. I'll let you do the math. All right, so it's it's great that we see such strong adoption from their customer base. Almost 50% of their customers are team customers on. Then that >> contusion. That's hi, >> It's very high. >> Wow. So give me your favorite customer example that really articulates the value that pure brings the value that being brings. >> We've got a lot going on in the financial space in the healthcare space. >> Butler Health is a joint customer that we have a customer reference win that they've published in that we've published on dhe obviously many, many more, but especially in the people, customers in the financial health care that are looking for performance on Dhe. Looking to that flash blade, a za landing zone that's going to give them more than just a backup target. It's going to give them the ability to leverage it for a I and ML and many other factors, which is again, one of the reasons why we've seen such strong adoption. >> You talk about health care, we're talking about patient data, lives at stake. Give me some of the meat about what this customer, for example, is achieving at the business. Subtle and the human lives level >> Well, I think what they're seeing is of what they were used. It's not so much the exact stats that I could give you down to how money they're getting per second, but it's what they were using before, which is one of the legacy competitors that we have, which we call. You know, some of these donors that they give to market share that we take away day in and day out with without saying names. But there was a reform replace that we came in and taking a second generation solution from a legacy hardware appliance that was being used previously in a secondary storage. >> Yeah, allow me to elaborate a bit, right? So you asked about the technology we kind of talked about the universal adapter for the off load where we've really seen growth has been in this notion of flash to flash the cloud and peers introduced this notion of rapid restore. So again, how do we grow our businesses together? Growing amore mission critical or patient? Critical deployments has been this notion of not just backing up the data faster. That's kind >> of the the >> daily repetitive task that no organization wants to to deal with. Where the rubber meets the road is Can you put the data back? And we've seen this explosion in the increase of of the capacity of data, set sizes and the pressure they put on restoring that data. When you happen to have, ah, harbor failure, a data center go off line or a power issue and this goes so you go back to patient records gotta be online when everything fails and there's an issue with a chair, whatever. Maybe how quickly can we get the data? And we're orders of magnitude faster, then the legacy >> platform. So having an integrated appliance is part of that key and co engineering. Is that right? I mean, you guys pure software no pun intended, right? You don't want to be >> No, no, it sze taking the they wrote to our a p I right So the work that they did on the FBI and then continue to innovate and iterated against it right and coming out with the next version that they just come out with it is, is just differentiating themselves in the marketplace. And that's really what we're seeing. And we're seeing that success that the enterprise today, from what we have without even looking forward to our upcoming V 10 which is gonna have some high end enterprise feature sets. >> And we want to get into that. But something that mom that you were just saying It's almost as if data protection is no longer just an insurance policy. It's an asset. We have to be able to get it back. >> Absolutely fuel, We believe if you look at the legacy backup appliances, they were designed and optimized for short backup windows and are proving to be a challenge at restoring the data, which is actually where the value in the architecture is. We've talked about rapid restore in bringing, flashing that space. We worked with team engineering on V 10 actually double that performance so that customers, as they upgrade their code line, can again bring those mission critical workloads back online even faster than in the past. In addition to that, we've worked through some of the VM integrations for customs who want to mind that data who want to clone those workloads and bring them up on online and ADM or analytics or searching the metadata of that data. So there's a lot going on besides just your backup and recovery. >> So you guys are saying, Chuck, the appliance don't need the appliance. You've got a better model. Is that what I'm hearing? Or >> we win against appliances day in and day out? So absolutely software. Best of breed software. Best of breed storage hardware. >> What should we expect for V 10 adoption there? You guys announced in the spring? >> Yes, and it will shift in Q four. Dave, honestly, this is gonna be Anton is gonna shit >> a good track record. They're gonna go out there. >> No, but we have some key features that will differentiate us in the marketplace, especially as we go to the enterprise with pier storage, such as immune ability right, So that's a feature that we've talked about. You know, we've been hyping because we believe in it that what it's gonna bring for the protection of ransom, where malware and it's it's gonna be a game changer. We believe in the marketplace and our famous now, as they were finally gonna support now support for their enterprise customer base. So, I mean, those two keep features in and of itself. So again, I talked about the scale that we're having today in the marketplace without these key enterprise features and then having those chip, you know, in the next 90 days are again we believe just gonna continue to elevate our business. >> We're talking to Charlie earlier today about just a CZ. Part of his job is tam expansion and data protection is an obvious area for that. You could have chosen to go buy a small software company, certainly have the cash on your balance sheet and compete. We have chosen to partner talk about the opportunity that you guys jointly see in terms of the market you can penetrate. >> I think it is such a Our ecosystem is so comprised today of partnerships that are based on. On one hand, you're partnering, and on the other hand, you're competing that it is. It is really refreshing to find a partnership like Veen, where we've got very clear lines of what our product offerings are, where they come together and no competitive obstacles. It makes partying in the field the easiest, right? We've got great partnerships across the board somewhere. Appliance vendors. Sometimes those partnerships work fast. Sometimes they running hurdles. We never run into a hurdle together, so it's worked very well. I think our partners, our channel partners, have preferences around the server side that they like to go to market with. We give them the freedom together to pick and choose. So they put invested class software with best class storage to to meet the needs. They put the rest together based on what fits their business model or their current agreements go forward. So >> clear, clear swim lanes, Big market. You guys showed some data at V Mon. I want to say Danny's data, maybe $15 billion Tim man larger. You guys get a piece of that, you get a piece of that >> on a savant said. It's just there's no there's no friction in the marketplace is going out and doing the work we need to do to win. But we never get it that Oh, we can introduce this because it's gonna compete with, even if it's only 2% of what they have, there's there's looting. No, they do not have data protection. And we don't do as, you know. We don't do hardware in storage. So again invested breeds. And I >> think those numbers maybe even conservative because, you know, as you were pointing out, the traditional backup products were designed to deal with the biggest problem, which was back up window, which, by the way, 60% of times the backup didn't work anyway. But you have to get inside of, you know, Yeah, we backed it up check. But backup is One thing is my friend Fred Morris. Recovery is everything. So things are shifting in a digital business recovery. You know, it is tantamount. You know, ever you can't ever not be without your data. So it's an imperative. Yeah, >> it's, um, when you're and the flashlight business unit first came up with the construct of a rapid restore. I mean, admittedly, I was sitting in the corner. I'm just saying there's no way. There's no way that a customer would look to pay a premium for Flash for their backup. And then you meet the customers and it's just one after the other. And there's these stories around. We had to stop production. We couldn't get the AARP back online. Right Way couldn't take transactions because the processing database of the purchasing database was off line and you're just sitting there going. These are really world right issues that impact revenue for organizations. And so we are going through an evolution about rethinking around data protection and what it means into in today's day and age. >> It's security. Such top of mind carry today on the CEO's mind and data protection is part of that. Backup is a key part of that. You think about Ransomware, right? You guys get solutions there. I mean, it all fits together. It's not these sort of bespoke, you know, ideas anymore. It's really one big mosaic so that people can drive their digital transformations. I mean, that's really what they care about. >> I think the themes, old slogan, it just works right. It continues to evolve and that you talked about backup not working in the first place, right? So we have our core fundamental foundations. That theme has right is that it will trust that the customer will know that it will be online. We have the shortest r p o r t o is right in the marketplace, and then you take that and the's enterprise class features again. That's why marrying it with Piers route to market and there go to market strategy is having the success we're having in the marketplace. >> You're hearing a lot from customers. Flash Flash MacLeod. This is There is a very strong need for this. Some of the things that were announced today terms up some more firsts that piers delivering to the market. What are some of the things that you guys were? You maybe Carrie. We'll start with you from themes partnership perspective like a flash Teresi, for example, or starting to be able to deliver. I saw Blake smiles, uh, be ableto bring the cost down so that customers could look at putting a spectrum of workloads, even backups on flash. What is themes? Reaction? Well, smiles. I tend to >> do with Lisa, but I mean, to be honest with you. We sit back and love everything that piers doing from innovation. And so if they're going to come out with a broader set of target solutions for secondary storage, then we're going to be there partner there as we are with flashlights. So we're sitting back and loving the innovation that they're bringing to the market place and to their customers. >> I saw that Cheshire cat grin von >> s o for the audience who may be missed. We had a number of product announcements this morning taking the flash ray from a single product line into a portfolio going to that two year zero workload with the direct memory cache acceleration powered by Intel's often products as we go into a chair to economic space but still keeping all the Tier one features and availability we not flash or a C, which is leveraging QSC is a storage medium. Uh, while we have a design, do expand our tam and find new workloads. We have not looked at backup for the flash rate. See, at this point the flash, the flash, the cloud powered by the data hub in the rapid restore is going strong, so you want to kind of keep the team focused on that? And we've got other markets that we have yet to penetrate that have been more price sensitive where we think the flash racy is a better alignment. Now again, maybe over time I'll be found wrong and we'll change our tune. But you know, I'll give an example. Go back to Ransomware. Ransomware is a top three question in terms of any storage conversation. When you deal with a financial institution today to the point where not only are they asking about, what are you doing in your products? What are you doing across your partner ecosystem? Some of the modern proof of concepts required it to go through a ransomware recovery procedure because you know these financial institutions, they're worried about getting not just locked out, but locked out on your H a sight because you just replicated the ransomware over. So this this ability have immutable, immutable image to bill to bring it back online fast a rapid restored somewhere. You could see what these technologies start to line up in a comprehensive solution for the customers, and so flash racy is great. It has nowhere. The band with a flash blade. So we're gonna try to keep those a separate products in different markets at the time. But at least for time being, >> thanks for clarifying >> that cloud. I gotta ask the quad cloud question. It's interesting you guys have both embraced. Cloud is you're seeing it. In the old days, I was saying, I think I'm saying Charlie again. Executives were like, No, don't do that. It's gonna kill us. But now it's okay. It's not a zero sum game. That trend is your friend. You gotta embrace it. How are you making cloud each of you a tailwind versus the You know what all the analysts expect ahead, What else gets going? Zero sum game is going to steal from a to B. >> Well, I mean, Dave, you can imagine from my vantage point, it's easy to say that we're looking at Cloud is just, you know, expanding the TAM, expanding the ecosystem features we have today at the archive here. The success we're having with both Microsoft Azure and eight of us are phenomenal. Growing 40% month over month, right, the adoption with all the new innovations that Danny and Antonio have talked on the show that were coming out with envy. 10 are only gonna amplify that. But it all starts back with our partners ships today that we have one private clouds and as customers are looking to evolve to the cloud So we work with our partners like peer to ensure that we're working with them today. And as customers want to embrace the cloud they can. But predominantly, those primary workloads are still remaining on Prem and they're looking on how they're going to support the cloud. And we're doing that today and we'll be doing that. Maura's we go forward >> block storage announcement you guys made today was quite interesting way now spinning up East End shoes and s threes And what >> So this morning we announced general availability for pure Claude Block store on AWS and plans, as we are currently in beta and development for other clouds. But the folks today is this AWS and you pair Claude Block store, which is basically the software of a flash ray architect for the hardware inside of a W s so that you have the same functionality and service that you have on Prem and you pair that with pure is a service, which is our op X moderate could pay as you consume and the flexibility of sign a 12 month contracts. You want 90% on Prem today in 10% of cloud two months from now, you want it 50 50 like used the utility model to consume wherever you want, so you can meet the requirements of your infrastructure, whether it's on Prem in the cloud or some hybrid combination. >> But the interesting thing to me was your doing a lot of the heavy lifting for the customers with regard to the architecture. What you architect in the club that I wonder. Is there an opportunity to do something like that with backup? Or is that just, you know, not economical, deep, deep archive, things like that? I mean, >> I'm pretty sure we're told not to make any news right now because >> stay tuned. I've already said >> too much, so I'm probably a >> good thing. We're live >> in big trouble. >> Wow, guys. So the 1st 10 years of pure, tremendous amount of innovation is, Charlie said, an overnight success in 10 years, so much more coming down. We've already heard about a tremendous amount of innovation and evolution today. So we can't wait to have you guys back on to the next event in here. Get our neck braces on for the whiplash of news that's gonna be coming at us. All right. We are like your day Volante. I'm Lester Martin. Go pats. >> You're sorry. And Bruce. Carrie and I were crazy >> sports fans. Let's just be very PC. Go, everybody. Everybody gets participation. Trophies just coming anyway. You're watching the Cube. Lisa Martin for day, Volante. Thanks for watching.

>> from Burlingame, California It's the Cube covering Suma logic Illuminate 2019. Brought to you by Sumer Logic >> Hey, welcome back already, Jeffrey Here with the Cube Worth Suma >> logic illuminated the higher Regency San Francisco airport. About 800 people, 900 people packed house in the keynote earlier this afternoon. Really interesting space, and we're excited to have our next guest >> kind of on the cutting edge >> of the I o T space on the consumer side. And he's Robert Parker, the CTO of Sand Samsung. Smart things, Robert. Great to see you. >> Great to be here. >> Absolutely so before we get into >> the kind of the depth of the conversation, a little bit of a background on smart things. I was doing some research getting ready for this and the fact that it started as a kickstarter a long time ago, not that long ago, and now is part of Samsung, a global electronics giants. What a fun adventure. >> Absolutely. I think it's been one of these things where it's great to be something where it's community driven to begin with, so kick start. It was a big part of our launch, and we were one of the biggest kicks are launches at the time. Uh, really powered by our community around the website and early users. We got a lot of interest in I O. T. And then moved on to the next stage of the vision, which is sort of encompassing all devices. And so that meant we have more than 2000 different Samsung devices on the platform now, which really allow devices to talk to each other in ways that are really exciting. And that breath has been really great thing to be part of >> right. It's really funny. We went to the Samsung Developer conference a couple of years ago. It was funny to see the the living room guys fighting with the kitchen guys, you know, What was >> the centers that the TV or is it >> the fridge aerator? Or is it the washing machine for that bit? And Samsung's got really got a foot in all those places? >> Absolutely. This is one of the things that the smart thing platform is really enabled Samsung to transition across is then it's no longer a conversation with the washing machine person or the dryer. All the devices are part of the smart things. Cloud. Martin Claude is a one way that you could talk to Samsung Devices, and it's an open ecosystem. So it's not just Samsung. Devices were equally comfortable with manufacturers. Any manufacturer bringing those devices because home is a multi vendor environment you are not. We're gonna have all of your home from anyone, vendor, right? And that's been one of the exciting parts of visions that's been part The open ecosystem is something that's been part of smart things. Story forever to really immortalize that in a platform for Samsung has been great transit, >> right? So we're here. It's Uma Logic, eliminate and preparing for this. I saw an interview with you. You made a really interesting comment. >> You said that we are a pervasive >> user of suma logic, and he said 90% of the team are using similar logic. It's fascinating to me because I think a lot of companies air chasing innovation. I think one of the ways to get innovation is you enable more people to have more access to more data and the tools to actually operate that data so that they can do their jobs and find cool ways to make improvements that aren't necessarily coming from the top down. It sounds like you guys have addressed that philosophy wholeheartedly, >> so we absolutely have addressed it wholeheartedly. I think there's a lot of luck involved, and I want to sort of describe it Is that one of the things that worked well for us is people were excited to use sumo more and more. They're more excited to see what they could do with the tool, what insights they could get. And so you see your neighbor looking at it and they look a dashboard and they say, Can I do a little bit of that? And so much So you know, in the last year we've seen ah lot of unplanned value come out. So 1/3 of the value we gotta assume of, um, um in the past year was unplanned. These things people didn't process, they didn't know they would improve. That really just came from this groundswell from what I would call the community. And I think that's where you get that. That unlocks a lot of the potential because you really can't do things from sort of the planned high level. You really need. People actively engaged right and doing stuff you wouldn't expect. >> That's great. So I >> want to talk about >> a little bit about security. Security is a big topic here. It's topic everywhere we go on and now, with connected devices and connected keys and connect doorbells, it seems like, Oh, here we go again And there's this constant talk that security's got to be baked in throughout the entire process. How are you guys dealing with security? Obviously got to be right at the top of mind in terms of priorities. While you're still connecting the sprinklers in the thermostat and everything else. Security >> and privacy are both critical link in privacy, even though you didn't ask about it. Because as you think about devices like cameras and things like this, privacy is top of mind. Also, in terms of regulation like GDP, are so because of that, we're really looking at both cases that the challenge for both security and privacy is it really cuts through your whole organization and every process, and by the way, every process that every partner, if the organization has because we can have something that could be exploited from sort of a an attack through a customer service representative. That could be a person in the customer service organization. It could be how some of social engineered that. And so what we've really needed is this kind of continuous intelligence that can span all of these processes because in something I security, you're as good as your weakest process. And that doesn't mean that we don't focus on all things that you talked about. Were industry leading from device perspective tohave hardware baked in keys and, you know, do things the manufacturing process that lead to something that could be as secure as anything. But that's really that the secret of using a lot of the continuous intelligence tools like sumo is that all of these could bees aren't enough. You have to bring it together by having the intelligence that spans those processes to make sure that all of them are elevated. Because at the end of the day, a security attack is gonna attack your weakest thing, not your strongest right. >> So one of the other >> topics here that talked about is this exponential growth of data, and you guys were part of the problem because now we got sensors and light switches and all these other things that are kicking off data that before we weren't monitoring. And so from from an execution point of view at the company, when you've got so much data that you need to turn into information and then actionable insight, you said Sumo's got some unique characteristics that allow you guys to get more leverage of that platform. I wonder if you could dig into that little bit more >> and I'd like to reframe the data discussion a little bit. A lot of people look at it. It's a problem. I want to really talk about the opportunity side. So part of that goes to our story where we started off at KICKSTARTER with a few 1000 users, we have over 50 million active users now. >> 50 million >> 50 million. Our Android application, the Google Play store, had been downloaded around 200 million times, so it gives you some idea of that size and scope. So the data is an opportunity. There's an opportunity to build a customer base, too, excite people and to manage the processes that do that. And you know what's great now is that the availability of this data means that you can do it in more ways than you ever could before. The problem is, you need a tool that brings us together. To be able to do that in doing that well is difficult, difficult both on the teams and difficult because the size, scope and complexity of the systems because of the data that you mentioned. But the >> reason you want to >> do it is so that you can cross the chasm in terms of this opportunity, and more and more companies are enough. You have this opportunity on the front of them. One of the things that's been really exciting, but the cloud is a sort of democratized the entry point. But that wasn't good enough just because you could get in the game with three people. It's like making a you can make us application in Mobile Applications store, either on Google's on Apple's really easily that gets you in there. What you really need to do is manage the intelligence that goes from that, and for us, it's been really exciting to be able to take our decisions and make them data driven, and we can do that by this explosion of data because it is their >> right in the date is good. And I think we see, you know, kind of date of it as an asset. It hasn't really hit balance sheets officially yet, but I think you see it in the valuations of of companies like Google and Facebook and Amazon, right, who obviously have these crazy giant multiples of the revenue one because they're growing but too because they have so much data. So the markets kind of valuing that data without explicitly calling it out as a line on the balance sheet. That said, not all data has the same value, not all day. Not all data needs to be treated the same and so really opens up an opportunity. How do you tear it so you don't want to get? You know, it's been a ton of money on a piece of data and a big fat stream that somebody leaves open and accidentally suddenly have a big building that maybe wasn't the most valuable. So >> it actually double down on what you said because for a typical company, one of things has also been true. Of the mega scale companies that you pointed out with is there's a lot of uniformity in their data coming the cost of the Amazon. They have customer orders, and they've got orders at this massive scale. A typical company doesn't look like that. They have their data spread is more fragmented, smaller scale on so >> because they want to make different decisions. And this is the >> same thing that has already happened in the storage area. People are really comfortable with storage that they're gonna have in either just disaster recovery or long term storage. And they want a very low cost footprint around that they've got their hot data and they're much more willing, tohave that data managed differently and at a higher cost rate because it's it's much more valuable. We're looking for tools that span that not just in storage, but in the ingestion in the management in the querying of that data. Because, like you said for most businesses, a lot of data's infrequently looked at or looked at in response to a situation, so I'll never know which 10% of the data will be looked at. It will be based on Oh, I got audited or, you know, some other business event that happened on, so this is one of the key things that business is struggling with. One of them is that they they want to adopt these practices to become modern or boring, modernized. But the 2nd 1 is to really be able to tear the data because they couldn't treat all the data's if it's hot data, just like they already figured that out for storage, >> right? It's pretty interesting. It's been going on for storage forever. We really saw it, I think, with the rise of Flash, which was super high quality but super expensive in the early days that's coming down and then at the other. And we have the end of the glacier storage in the cold, cold, cold store. Just put it away by what your last thought's that last. Answer, Robert. As you look forward, I can't believe you're already in middle of September of 2019. It's fascinating to me that time flies so fast. But as >> you look >> forward, what are some of your priorities over the next year or so? How are you guys kind of moving the ball down the field? >> So we're one of the things that we're looking at? Was the data problem that you were talking about, if really looking at are infrequent data and be able to manage that effectively both from the types of insights that we can get from that. So a lot of this starts to be better usage of machine learning pattern recognition a eye on so that we can, you know, the ideal situation for us and not type of data is it got touched once it got looked at once, and then we could understand how to action it later that deferred action. And then how do you know trigger that deferred action as well as the tearing that we sort of talked about that all day? It is not created, equal, created equally, and so both those things are happening just to put some numbers on this. And why is that? We have 150 terabytes or so of data that is somewhat interesting to our business generated on a daily basis. 150. Terrible, terrible. That's interesting. And then on that's out of that, I'd say 10 terabytes is kind of really actionable. It's that gives you an idea. The other part is how that's growing. Where a year ago, we would have been at maybe 60 terabytes of what I would have called this interesting data and maybe five terabytes of, of of, you know, immediately actionable. And And so that's where you know this is following that where that's exponentially growing and it's a big number. So that's what we really think about. >> So you scared those curves. Curves get state, we look. It >> is a huge opportunity. What will happen is either people will create value out of that for customers, in which case, actually the opportunity, because is that such a scale? It will be great for everyone or number two, you know, it just becomes noise, right? And so it isn't really something that scared of, because worst case is it became noise to you. We really want to be one of those people were getting value out of it and see sort of the business growth and the consumer value growth. Out of that, I I'm pretty optimistic that we'll be able to do it because we really if I look back 34 years, we've just been able to figure out a way, and I think it will continue to do that >> All right. Well, Robert, thanks for taking a few minutes of your time and ensuring the story. It's a great story. Thank you. Appreciate being here. All right. >> He's Robert. I'm Jeff. You're watching the Q word. Suma logic illuminate 2019. >> Thanks for watching. We'll see you next time.

>> live from San Francisco, celebrating 10 years of high tech coverage. It's the Cube covering Veum, World 2019 brought to you by IBM Wear and its ecosystem partners. >> Welcome back. This is The Cube. Live at VM World, 2019 times. Too many men with my co host Justin Warren, David Dante, John Ferrier. John Wall's John Troyer. Like a certain founding fonder, Alexander Hamilton, the Cube is going non stop coverage for the three days Habito. Welcome back to our program. Two of our Cube alumni's Lynn Lucas, who is the chief marketing officer of Cohee City. And she's brought along John White, who is the chief innovation officer at Expedient. Thank you both for joining us. >> Happy to be here. Happy 10 year anniversary to the cute >> Well, thank you so much. And you know, so many people we've known over the years. Actually, the first time I met John wait was I believe in this whole, you know, at VM World, you know, talk about what's going on. Eso You know, I always love talking to the service riders because it's been going through just a massive transformation, you know, all along on you, John, you've got a different title Since the last time I interviewed you, You been involved in the strategy You and I have gone toe cloud shows together and some of the other things they're so bring us up to speed as to, you know, expedient here at the show. And, uh, what brings you here with cohesive? >> Yes. Oh, yeah, thanks to your right. But I think it's probably five or six years ago. Maybe I asked too. You said, Hey, what do you know about the service provider community? Cause I wanted to kind of educate you because it was something that's been fairly new and expedience been in that industry for a long time. We were mainly in infrastructure of the service provider, man. The service providers are rounding on all that I t. Stuff that people need and ah, this VM world is a huge one for us. Last year we launched Enterprise Cloud, which is a product based on VM. Where's full softer to find stack And that was something we wanted to go to market with to give an alternative people, When you say Hey, I need to go to the cloud and you realize that okay. I really can't just take my APS and lift and shift and go there. There's another place for you that's a little a little more familiar. And as we see 20,000 people know VM were obviously that air here. So that's usually what what's usually happening in the Enterprise. So we're talking with those folks, and so we would launch that platform. We thought about everything differently. We were running virtualization since, 06 of seven, and we wanted to change everything back up platforms as well as needing things like scale out now, as were necessity at that point. So this VM worlds are coming out because we had, ah, release that last year. And now we have a lot of good customers to talk about on that platform. 12 months later. >> Yeah, well, Lynn, first of all, congratulations because, you know, I know John sits on customer counsels for some of these events. I've dug into a bunch of the networking pieces with him and actually was, you know, we spent a bunch of years. We went to a bunch of shows together and he was looking at the some of the various vendors and a bunch of the new startups and cohesive E is the one that you know really stepped up provided the solution that he was looking for. So it's been interesting to hear service fighters. You were usually the first ones that companies were talking to. But bring brings the cohesive story there. >> Yeah, and so were a super pleased and honored to have expedient working with Cohee City. And John has been instrumental in really providing a lot of direction to us on what his needs are and how to make the product even better for for him and the service provider community, it's a huge part of our go to market strategy. We believe that with the massive growth in the interest in hybrid and Justus John was saying, There's so many customers that really aren't equipped to deal with How do I move to ah hybrid cloud strategy, whether that before compliance reasons, whether that be geographical reasons under you've seen them all. And so this is something where we feel really thrilled to have the, um, where's cloud partner of the Year working with us and to help serve customers with the expedient enterprise Cloud platform. >> Congratulations on that team. And right when we first met five years ago Public cloud for VM wear And for most of the service bodies, it was the enemy, all right. It's like, Oh, my gosh. There, you know, you went toe Amazon reinvent and create a little bit of partnership. So give us the update on hybrid. What that means and how solutions like, Oh, he city, you know, help you provide services to your customer. >> Yeah, it's funny you mentioned. I mean, that's you would ask me, What are you doing here? What are you doing here? Because it was going out doing this research, seeing where the market was on containers on adoption of Claude practices. So we wanted to make sure that we were very open with all the different solutions that are out there. And that's been our strategy from the from the start. So building enterprise cloud was one thing we need to do to come to market with a platform like everybody else. But multi cloud is really where we have focused. And it's funny. I mean, when I when I first started coming to the M world, it was very product centric, you know, you had this product, you could do X with it. And here's the return that you would get at it. And when you're coming to the emerald now it's more about platforms. And that's really what I found most interesting with Cohee City when I first met Mohit, probably two and 1/2 3 years ago, was that he was focusing on the platform of data management. And that's really what the problem was. It wasn't now, specifically, it wasn't data protection. Specifically, it was What all can you do with that with that data management? And we're You know, we're spending a ton of time with Cohee City on. We were building multi Tennessee with them to them, be able to support that. And that's what we're delivering on now. So it's it's it's the scale out now's it's ah, data protection. And then we're taking those service is and then putting him in eight of us in azure or wherever it might be because it doesn't matter to us, because long term we want to care about the long term I t care and feeding and focus on that as our value prop instead of just actually which silo >> it lives in. Yeah, and right from the very beginning, I remember speaking to Kohei City very, very early on when it just sort of come out of stealth. And it was baked into into the product the idea of data management that it was going to be much more, much more than just data protection. So, what are you seeing now that we have a lot of years of product development has clearly gone into it since we first looked at it then. But what are you seeing? Customers using the platform for here in 2019? >> Well, we started a little bit more unique than most other customers. I think we talked about this, you know, throughout CO e city. And we actually started on a scale out now's platform s. So we have one of our clients homes dot com who? They're with us this week because they have a really interesting you. No need for this type of enterprise. Cloud there with us and they're talking about all the different benefits they received out. And they started actually with on the file side of things homes dot com, real estate, online real estate. So I think you know about how many images and how many fouls you have out there. We have 2.6 billion images right now running on the cohesive platform. That was 2.6 billion and a 30% annual growth rate. Yes. So the numbers are crazy. You can't put those on any other traditional now, as that's out there. Uh, so we used a he city first to get started there, and then the backups really were the icing on the cake. So last October, we built We started going out the Nats platform to handle those images. And if you actually go to homes dot com right now, it's being served fully out Enterprise cloud from a container and virtual machine layer and then on the back end from Cohee City. And they were using that to protect it as well. >> And I think that if I add on to that is really a testament to the, you know, the foundation that mo it built, which is a true distributed file system, Google like, in that sense. And I think correct me if I'm wrong, John. But you know, you then also saw while that benefit of a platform approach and not another silo for the backup and having co he city help solve the challenges for both files as well as data protection and then maybe one day in the future. Looking at some of the things that we're doing now that we're doing more security on running APS and things like that on the platform as that may be an extension for you, >> Yeah, that's that's definitely a big focus of our effort, the global d duplication that you get with CO he city. When you add all those files in all the different customers, we have all the different virtue machines. Ah, the ratios were hitting or just insane. And it's something we decided as a service provider that we we said, OK, this technology, we actually want to give that benefit back to the customer. And so when somebody buys data stores from us on the data production, they buy what they're actually consuming on the disk. So you could have 100 terabytes in all of your V EMS. If you only need one terabyte, that's all you're buying from us. And that's a lot of the power of that platform that we get with cohesive. >> Yeah. So, John, wanna help? They want you to help us understand the nuance of something. We're platform? Yeah. Has a little bit of new Monsanto. Little bit, a little loaded thing. GM was the platform. Cohesive is a platform. You use both of them. So just help us understand how cohesive Ian Veum wear and all those things that they go together. They're not, you know, competing against each other in as your architectural Or are they? They're >> not competing there two layers, In my opinion, where you have your primary stores really living in and the M R and secondary storage is everything else on Cohee City. Ah, what? The nice thing is, they did a lot of cool things to kind of marry the two together. Um, one of the one of the tools that we're using Aesthetic ahi city is called Instant on or instant Restore a Virtue machines so we can actually spin up a virtual machine almost instantaneously. It lives on the Coast City platform. Once it's rehydrated, then does a storage the emotion automatically into the V, m or environment. So we're able to do migration or if we had, You know, we have a bad ransomware attack and we need to restore 100 V EMS within a few minutes. We can instantly bring those back up in the cohesive platform and then move them to a production virtual environment once it's done. And that's something that we weren't able to do with our existing vendor. And that was something we needed to actually go and focus on because being in the healthcare space being in the compliance space, that's that's a big problem for us. >> Yeah, just add, I think that, um Vienna, where is clearly one of our most important partners. The very first area that mo it developed was data protection, for I am where, I would say, well north of 70 75% of our customers are protecting their Veum, where environments We have a very large customer that's protecting over 18,000 V EMS on Cohee City. So with the certifications that we have with V. C. D. And with the integrations, as you've mentioned with of you realize it's it's really it's a partnership. Andi think we're adding a lot of value to the customers that are building on V. M. where is >> very complimentary for sure. >> Yeah, it's been interesting that to see how customers choosing to go with a platform like like expedient because, as you mentioned earlier, stewed like five years ago, Cloud was the enemy. And but we're being told that on a public card is gonna take everything, and it's just gonna own all of the environment where is now? In 2019 we found that the story is actually much more complicated than that. Some of us probably believe that at the time I put my hand up is one of those that customers actually needed to live in multiple places. It's not a story of or it's a story of end, so you do need to be ableto have something which can work well with others on the same way we've got. We've got co, he's ity and V M. Where is it? Well, they're not really competing with each other. They work better together and particularly as customers scale, we find my any any kind of enterprise customer is header a genius, so you have to have solutions that give them options and that work together well with you have to play nicely with others. >> I think that's exactly right. And part of what we've done is built a software to find solution and to also give John expedient flexibility. How do you want to deploy for your customers? The solution. Is it in the, uh, the hyper scaler? Is it Hello, somewhere? Is that your own cloud? And so that's part of the advantage. I think all in one solution that then you can give your customers some flexibility as well as to how they want to consume the service as well. >> Absolutely meaning the flexibility And you mentioned software only, and are, you know, software or suffer to find that was something that was big for us. When we're looking for partnerships, we have a standardized hardware build that we want to use. And that was all built on Del. And it was something that, you know, we were able to work with obesity to get that standardized so we can continue to roll out. Excuse that we were most comfortable with. And they could just have the software layer on top. >> Yeah. So you've managed to do this successfully. You're going really well. Yeah. What's next? >> Well, um you know we have, you know, So in we ordered in October of last year. Right now we have six petabytes online enrolling. So that's that's great. You know, that's that's good to see. That's going to continue to grow at a pretty rapid rate. Data is something that obviously, we all know is never gonna shrink on. We're gonna continue to grow that with new customer acquisitions, and that's everything where we want to continue to go with this, Uh, this product specifically is on the data management side. The things that they're doing in Helios to start to get understanding and awareness in value out of that data that's sitting there is really, really important and exciting for us in the future. We deal what tonic compliance PC idea says hip. And we want to make sure that the data that we're storing inside of there will be compliant by those. So being able to write an application to see if the credit card numbers in a file or in a database by using the cozy platform that we brought us value. Same thing goes with a lot of the ransomware protection they're doing. So if you see a foul that gets encrypted, then I know. Okay, I have a problem. I better go look at that and give me a time stamped, Actually. Go on, restore from instead of actually trying toe, you know, pick around. And hopefully I find it when it before it was encrypted. So we're really excited about those opportunities is the future and seeing what data management can just bring to it. >> Well, Lynn, always a pleasure to catch up with you. Thank you so much for joining us again. And John, my friend, this is your six time on the program, actually gonna have a celebration in New England in a little over unveil for, ah, six s o right in New England. So for Justin Warren, I'm stupid him in. We love talking about sports here, and, uh, yeah, the Cuban way have the Niners and the Patriots for the team there. But as always, Thank you for watching the cue

>> live from San Francisco, celebrating 10 years of high tech coverage. It's the Cube covering Veum World 2019. Brought to you by VM Wear and its ecosystem partners. >> Welcome back. We're here. Of'em World 2019. You're watching the Cubans? Our 10th year of coverage at the event. I'm stupid. And my co host this afternoon is Justin Warren. And happy to welcome back to the program. Bob Ghaffari, who's the general manager of the Enterprise and Claude networking division at Intel. Bob, welcome back. Great. Great to be here. Thank you. S Oh, uh, you know, it's a dressing. And I think that last year I felt like every single show that I went to there was an Intel executive up on the stage. You know, there's a way we talked about. You know, the tic tac of the industry is something that drove things. So last year? Ah, lot going on. Um, haven't seen intel quite as much, but we know that means that, you know, you're you and your team aren't really busy. You know a lot of things going on here. VM worldwide. Give us the update since last we spoke. Well, you know, um >> So I think we have to just go back a little bit in terms of how until has been involved in terms of really driving. Just hold this whole network transformation. I want to say it started about a decade ago when we were really focused on trying to go Dr. You know, a lot of the capabilities on to more of a standard architecture, right? In the past, you know, people were encumbered by challenging architectures, you know, using, you know, proprietary kind of network processors. We were able to bring this together until architecture we open source dp decay, which is really this fast packet processing, you know, library that we basically enabled the industry on. And with that, there's basically been this. I want to say this revolution in terms of how networking has come together. And so what we've seen since last year is you know how NSX via Miranda sex itself has really grown up and be able to sort of get to these newer, interesting usage models. And so, for us, you know what really gets us excited is being really involved with enabling hybrid cloud multi cloud from a network perspective. And that's just what really gets me out of bed every day. Yeah, An s >> t n is, I think, gone from that early days where it was all a bit scary and new, and people weren't quite sure that they wanted to have that. Whereas now Stu is the thing, it's people are quite happy and comfortable to use it. It's it's now a very accepted way of doing networking. What have you noticed about that change where people have gone? Well, actually, it's accepted. Now, what is that enabling customers to do with S T. N. >> You know, um I mean, I think what you know S Dan really does. It gives you a lot of the enterprise customers and cloud customers, and a lot of other is really the flexibility to be able to do what you really need to do much better. And so if you can imagine the first stage, we had to go get a lot of the functions virtualized, right? So we did that over the last 10 years, getting the functions virtualized, getting him optimized and making sure that the performance is there as a virtual function. The next step here is really trying to make sure that you know you weaken enable customers to be able to do what they need to end their micro service's and feels. Or do this in a micro segmented kind of view. When and so um and also being in a scenario, we don't have to trombone the traffic, you know, off to be there, be it's inspected or, you know, our load balance and bringing that capability in a way, in a distributed fashion to where the workloads Neto happen. >> Yeah, who you mentioned micro segmentation there, And that's something which has been spoken about again for quite a while. What's the state of play with micro segmentation? Because it some customs have been trying to use it and found it a little bit tricky. And so they were seeing lots of vendors who come in and say We'll help you manage that. What's the state of play with Michael segmentation From your perspective, >> you know, I would say the way I would categorize it as micro segmentation has definitely become a very important usage model. In turn, how did really contain, you know, uh, policies within certain segments, right? So, one you know, you're able to sort of get to a better way of managing your environments. And you're also getting to a better way of containing any kind of threats. And so the fact that you can somehow, you know, segment off, um, you know, areas and FAA. And if you basically get some kind of, like attack or some kind of, you know, exploit, it's not gonna, you know, will go out of that segmented area to to some extent, that simplifies how you look at your environment, but you want to be able to do it in the fashion that you know, helps. Ultimately, the enterprises managed what they got on their environments. >> So, Bob, one of things that really struck me last year was the messaging that VM were had around networking specifically around multi cloud. It really hearken back to what I had heard from my syrup reacquisition on. Of course. Now, Veum, we're extending that with of'em or cloud in all of you know, aws the partnerships they are false, extended with azure, with Google in non premises with Delhi emcee and others. And a big piece of that message is we're gonna be able to have the same stack on on both sides. You could kind of explain. Where does Intel fit in there? How does Intel's networking multi cloud story dovetail with what we're hearing from VM? Where Right, So I >> think >> the first thing is that until has been very involved in terms of being into, um, any on Prem or public clouds, we get really involved there. What were you really trying to do on my team does is really focusing on the networking aspects. And so, for us is to not only make sure that if you're running something on prime, you get the best experience on from but also the consistency of having a lot of the key instruction sets and any cloud and be able to sort of, ah, you know, managed that ballistically, especially when you're looking at a hybrid cloud environment where you're basically trying to communicate between a certain cloud. It could be on Prem to another cloud that might be somewhere else. Having the consistent way of managing through encrypted tunnels and making sure you're getting the kind of performance that you need to be able to go address that I think these are the kind of things that we really focus on, and I think that for us, it's not only really bring this out and, um improving our instructions that architecture's so most recently What we did is, you know, we launched our second generations Aeon Scaleable processors that really came out in April, and so for us that really takes it to the next level. We get some really interesting new instruction, sets things like a V X 5 12 We get also other kind of, you know, you know more of, like inference, analytic inference capabilities with things like Deal Boost that really brings things together so you can be more effective and efficient in terms of how you look at your workloads and what you need to do with them, making sure they're secure but also giving you the insights that you need to be able to make that kind of decisions you want from a enterprise perspective >> steward. It always amuses me how much Intel is involved in all of his cloud stuff when it it would support. We don't care about hardware anymore. It's all terribly obstructed. And come >> on, Justin, there is no cloud. It's just someone tells his computer and there's a reasonable chance there's an Intel component or two Wednesday, right? >> Isn't Intel intelligence and the fact that Intel comes out and is continuing to talk to customers and coming to these kinds of events and showing that it's still relevant, and the technology that you're creating? Exactly how that ties into what's happening in cloud and in networking, I think is an amazing credit to what? To Intel's ability to adapt. >> You know, it's definitely been very exciting, and so not only have we really been focused on, how do we really expand our processor franchise really getting the key capabilities we need. So any time, anywhere you're doing any kind of computer, we want to make sure we're doing the best for our customers as possible. But in addition to that, what we've really done is we've been helped us around doubt our platform capabilities from a solution perspective to really bring out not only what has historically been a very strong franchise, pressed with her what we call our foundational nicks or network interface cards, but we've been eldest would expand that to be able to bring better capabilities no matter what you're trying to do. So let's say, for example, you know, um, you are a customer that wants to be able to do something unique, and you want to be able to sort of accelerate, you know, your own specific networking kind of functions or virtual switches. Well, we have the ability to do that. And so, with her intel, f p g. A and 3000 card as an example, you get that capability to be able to expand what you would traditionally do from a platform level perspective. >> I want to talk about the edge, but before we go there, there's a topic that's hot conversation here. But when I've been talking to Intel for a lot of years out container ization in general and kubernetes more specifically, you know, where does that fit into your group? I mentioned it just cause you know that the last time Intel Developer forum happened, a friend of mine gave a presentation working for intel, and, you know, just talking about how much was going on in that space on. Do you know, I made a comment back there this few years ago. You know, we just spent over a decade fixing all the networking and storage issues with virtualization. Aren't we going to have to do that again? And containers Asian? Of course, we know way are having toe solve some of those things again. So, you >> know, and for us, you know, as you guys probably know, until it's been really involved in one of the biggest things that you know sometimes it's kept as a secret is that we're probably one of the bigger, um, employers of software engineers. And so until was really, really involved. We have a lot of people that started off with, you know, open source of clinics and being involved there. And, of course, containers is sort of evolution to that. And for us really trying to be involved in making sure that we can sort of bring the capabilities that's needed from our instructions, said architecture is to be able to do containers kubernetes, and, you know, to do this efficient, efficiently and effectively is definitely key to what we want to get done. >> All right, so that was a setup. I I wanted for EJ computing because a lot of these we have different architectures we're gonna be doing when we're getting to the edge starting here. A little bit of that show that this show. But it's in overall piece of that multi cloud architecture that we're starting to build out. You know, where's your play? >> Well, so for us, I mean the way that we look at it as we think it starts all, obviously with the network. So when you are really trying to do things often times Dedge is the closest to word that data is being, you know, realized. And so for us making sure that, you know, we have the right kind of platform level capabilities that can take this data. And then you have to do something with this data. So there's a computer aspect to it, and then you have to be able to really ship it somewhere else, right? And so it's basically going to be to another cloud and might be to another micro server somewhere else. And so for us, what really sets the foundation is having a scale will set a platform sort of this thick, too thin kind of concept. That sort of says, depending on what you're trying to do, what you need to have something that could go the answer mold into that. And so for us, having a scaleable platform that can go from our Biggers eons down to an Adam processor is really important. And then also what we've been doing is working with the ecosystem to make sure that the network functions and software defined when and you know that we think sets a foundation to how you want to go and live in this multi cloud world. But starting off of the edge, you want to make sure that that is really effective, efficient. We can basically provide this in a very efficient capability because there's some areas where you know this. It's gonna be very price sensitive. So we think we have this awesome capability here with our Adam processors. In fact, yesterday was really interesting. We had Tom Burns and Tom Gillis basically get on the stage and talk about how Dell and VM we're collaborating on this. Um, and this basically revolves around platforms based on the Adam Process sitter, and that could scale up to our ze aan de processors and above that, so it depends on what you're trying to do, and we've been working with our partners to make sure that these functions that start off with networker optimized and you can do as much compute auras little computer as you want on that edge >> off the customers who were starting to use age because it's it's kind of you, but it's also kind of not. It's been around for a while. We just used to call it other things, like robots for the customers who were using engine the moment. What's what's the most surprising thing that you've seen them do with your technology? >> You know what is interesting is, you know, we sometimes get surprised by this ourselves and so one of the things that you know, some customers say, Well, you know, we really need low cost because all we really care about is just low level. You know, we we want to build the deploy this into a cafe, and we don't think you're gonna be all that the price spot because they automatically think that all intel does is Biggs eons, and we do a great job with that. But what is really interesting is that with their aunt in processors, we get to these very interesting, you know, solutions that are cost effective and yet gives you the scalability of what you might want to do. And so, for example, you know, we've seen customers that say, Yeah, you know, we want to start off with this, but you know, I'm networking, is it? But you know what? We have this plan, and this plan is like this. Maybe it's a 90 day plan or it could be up to a two year plan in terms of how they want to bring more capabilities at that branch and want to want to be able to do more. They want to be able to compute more. They want to make decisions more. They want to be able to give their customers at that place a much better experience that we think we have a really good position here with their platforms and giving you this mix and match capability, but easily built to scale up and do what our customers want. Great >> Bob, You know, when I think about this space in general, we haven't talked about five g yet, and you know, five g WiFi six, you know, expected to have a significant impact on networking. We're talking a little bit about you know edge. It's gonna play in that environment. Uh, what do you hear from Augusta Summers? How much is that involved with the activities you're working through? You know, >> it's definitely, really interesting. So, uh, five g is definitely getting a lot of hype. Were very, very involved. We've been working on this for a while until it's, uh, on the forefront of enabling five G, especially as it relates to network infrastructure, one of the key focus areas for us. And so the way that we sort of look at this on the edges that a lot of enterprises, some of them are gonna be leading, especially for cases where Leighton see is really important. You want to be able to make decisions, you know, really rather quickly. You want to be able to process it right there. Five g is gonna be one of these interesting technologies that starts, and we're already starting to see it enabled these new or used cases, and so we're definitely really excited about that. We're already starting to see this in stadium experience being enabled by five G what we're doing on the edge. There's experiences like that that we really get excited when we're part of, and we're really able to provide this model of enabling, you know, these new usage models. So for us, you know the connectivity aspects five g is important. Of course, you know, we're going to see a lot of work clothes used for G as basically predominant option. And, of course, the standard wired connective ity of I p m pl less and other things. >> I want to give you the final word. Obviously, Intel long partnership. As we know you know, current CEO Pack else under, you know, spent a good part of his, you know, early part of career at Intel. Give us the takeaway intel VM wear from VM 2019. You know, I mean, we've had a >> long partnership here between intel on VM, where we definitely value the partnership for us. It started off with virtual light servers a while back. Now we've been working on networking and so for us, the partnership has been incredible. You know, we continue to be able to work together. Of course. You know, we continue to see challenges as we go into hybrid cloud Malta Cloud. We are very excited to how in terms of how we can take this to the next level. And, you know, we're very happy to be be great partners with them. >> All right. Well, Bob Ghaffari, thank you for giving us the Intel networking update. We go up the stack down the stack, Multi cloud, all out the edge, coyote and all the applications for Justin Warren. I'm stupid. Men will be back for our continuing coverage of the emerald 2019. Thanks for watching the Cube.