(upbeat music) >> Live, from Copenhagen, Denmark. It's theCUBE. Covering Nutanix.NEXT 2019. Brought to you by Nutanix. >> Welcome back everyone to theCUBE's live coverage of Nutanix.NEXT. We are in Copenhagen, Denmark. I'm your host, Rebecca Knight, hosting alongside Stu Miniman. We're joined by Fran Scott. She is a science and engineering presenter. Thanks so much for coming on the show. >> No worries at all. It's good to be here actually. >> So you are a well known face to UK audiences. You are a three times BAFTA nominated science and engineering presenter. Well-known. >> Give her a winner. (laughter) >> You're the Susan Lucci of science. You are the pyrotechnician and you lead the Christmas lectures at the Royal Institute. >> Yeah. I head up the demonstration team at the Royal Institution. We come up with all the science demonstrations, so the visual ways to show the science ideas. I head up that team. We build the demonstrations and we show science to people rather than just tell them about it. >> So mostly, you have a very cool job. (chuckles) >> I love my job. >> I want to hear how you got into this. What was it? What inspired you? >> Oh gosh, two very different questions. In terms of what inspired me, I was very lucky enough to be able to pursue what I love. And I came from a family where answers weren't given out willy-nilly. If you didn't know something, it wasn't a bad thing. It was like a, "Let's look it up. Let's look it up." I grew up in an atmosphere where you could be anything because you didn't have to know what you had to be. You could just have a play with it. I love being hands-on and making things, and I grew up on a farm, so I was quite practical. But I also loved science. Went to university, did neuroscience at university. I enjoyed the learning part but, where I was in terms of the science hierarchy, I found out that once you actually go into a lab, there's a lot of lab work and not much learning straight away, and it was the learning that I loved. And so my friends actually got me into science communication. They took me to the science museum and they were like, "Fran, you will love this." And I was like, "Will I?" And I was like, "You are so right." I got a job at the science museum in London by just approaching someone on that visit and being like, "How do I get a job here?" And they were like, "Well, you got to do this, this, this." I was like, "I can do that." I got the job there and I realized I loved science demonstrations and building stuff. Eventually I just combined that love of science and being practical together. And now I produce and write, build science props and science stage shows. And then it became a thing. (laughter) Hand it to me, I love it. >> So Fran, our audience is very much the technology community. Very supportive of STEM initiatives. Give us a little flavor as to some of the things you're working on. Where is there need for activities? >> I suppose the biggest example of that would be a show that I did a few years ago where there was a big push for new coders within the UK. And I was getting approached time and time again for visual ways to show computer coding. Or programming, as we used to call it back in the day. I didn't have an answer because then, I wasn't a coder. So I was like, "Well, I'll learn. And then I'll figure out a demonstration because this is what I do. So why don't I do it on coding?" And so yeah, I set about. I learnt code. And I came up with an explosions based coding show. Error 404. And we toured around the country with that. Google picked it up and it was a huge success just because it was something that people wanted to learn about. And people were stumped as to how to show coding visually. But because this is what we do day in and day out with different subjects, we could do it with coding just like we do it with physics. >> What do you think is the key? A lot of your audience is kids. >> Yes and family audiences. >> So what is the key to getting people excited about science? >> I think science itself is exciting if people are allowed to understand how brilliant it is. I think some of the trouble comes from when people take the step too big, and so you'd be like, "Hang on but, why is that cool? Why?" Because they don't under... Well they would understand if they were fed to them in a way that they get it. The way I say it is, anyone can understand anything as long as you make the steps to get there small enough. Sometimes the steps are too big for you to understand the amazingness of that thing that's happening. And if you don't understand that amazingness, of course you're going to lose interest. Because everyone around you is going, "Ah, this is awesome, this is awesome!" And you're like, "What? What's awesome?" I think it's up to us as adults and as educators to just try and not patronize the children, definitely not, but just give them those little steps so they can really see the beauty of what it is that we're in awed by. >> One of the things that is a huge issue in the technology industry is the dearth of women in particular, in the ranks of technology and then also in leadership roles. As a woman in science and also showing little girls everywhere all over the UK what it is to be a woman in science, that's a huge responsibility. How do you think of that, and how are you in particular trying to speak to them and say, "You can do this"? >> I've done a lot of research onto this because this was the reason I went into what I'm into. I worked a lot of the time behind the scenes just trying to get the science right. And then I realized there was no one like me doing science presenting. The girl was always the little bit of extra on the side and it was the man who was the knowledgeable one that was showing how to do the science. And the woman was like, "Oh, well that's amazing." And I was like, "Hang on. Let's try and flip this." And it just so happened that I didn't care if it was me. I just wanted a woman to do it. And it just happened that that was me. But now that I'm in that position, one, well I run a business as well. I run a business where we can train other new presenters to do it. It's that giving back. So yes, I train other presenters. I also make sure there's opportunity for other presenters. But I also try, and actually I work with a lot of TV shows, and work on their language. And work on the combination of like, "Okay, so you've got a man doing that, you got women doing this. Let's have a look at more diversity." And just trying to show the kids that there are people like them doing science. There's that classic phrase that, "You can't be what you can't see." So yes, it comes responsibility, but also there's a lot of fun. And if you can do the science, be intelligent, be fun, and just be normal and just enjoy your job, then people go, "Hang on," whether they're a boy or a girl, they go, "I want a bit of that," in terms of, "I want that as my job." And so by showing that, then I'm hopefully encouraging more people to do it. But it's about getting out and encouraging the next generation to do it as well. >> Fran, you're going to be moderating a panel in the keynote later this afternoon. Give our audience a little bit. What brought you to this event? What's going into it? And for those that don't get to see it live, what they're missing. >> I am one lucky woman. So the panel I'm moderating, it's all about great design and I am a stickler for great design. As a scientist, prop-builder, person that does engineering day in and day out, I love something when it's perfectly designed. If there is such a thing as a perfect design. So this panel that we've got, Tobias Manisfitz, Satish Ramachandran, and Peter Kreiner from Noma. And so they all come with their own different aspect of design. Satish works at Nutanix. Peter works at Noma, the restaurant here in Copenhagen. And Tobias, he designs the visual effects for things such as Game of Thrones and Call of Duty. And so yes, they each design things for... They're amazing at their level but in such a different way and for a different audience. I'm going to be questioning them on what is great design to them and what frictionless design means and just sort of picking their amazing brains. >> I love that fusion of technology and design as something they talked about in the keynote this morning. Think of Apple or Tesla, those two things coming together. I studied engineering and I feel like there was a missing piece of my education to really go into the design. Something I have an appreciation for, that I've seen in my career. But it's something special to bring those together. >> Yeah. I think care is brought in mostly because yes, one, I love design. But also I've worked a lot with LEGO. And so I was brought in to be the engineering judge on the UK version of LEGO Masters. Apparently, design in children's builds is the same as questioning the owner of NOMA restaurant. (chuckles) >> So what do you think? Obviously you're doing the panel tomorrow. What is in your mind the key to great design? Because as you said, you're a sucker for anything that is just beautiful and seamless and intuitive. And we all know what great design is when we hold it in our hands or look at it. But it is this very ineffable quality of something that... >> So the panel's later today actually. But in terms of great design, yes, we all know when we have great design. But the trouble comes in creating good design. I think the key, and it's always obvious when you say it out loud, but it's that hand in hand partnership with aesthetics and practicality. You can't have something that's just beautiful. But you can't have something that just works. You need to have it as a mixture of both. It's those engineers talking with the designers, the designers talking with the engineers. The both of them talking with the consumers. And from that, good design comes. But don't forget, good design means they're for different people as well. >> What are some of the most exciting things you're working on, because you are a professional pyrotechnician. We've never had someone like this on theCUBE before. This is amazing. This is a first time ever. >> I was strictly told no fire. >> Yes, thank you. We appreciate that. >> Well at the moment, as I said at the beginning, I'm lucky enough to head up the demo team at the Royal Institution. We are just heading into our Christmas lectures. Now if you don't know these Christmas lectures, they were the first science ever done to a juvenile audience. Back in 1825 was when they started. It's a tradition in the UK and so this year, we're just starting to come up with the demonstrations for them. And this year they presented by Hannah Fry, and so they're going to be on maths and algorithms and how that makes you lucky or does it make you lucky? We've been having some really fun meetings. I can't give away too much, but there definitely be some type of stunt involved. That's all I can say. But there's going to be a lot of building. I really need to get back, get my sore out, get stuff made. >> Excellent. And who is the scientist you most admire? >> Oh my word. >> Living or dead? >> Who is the scientist I most admire? (sighs) I do have... Oh gosh, this is... >> The wheels are churning. >> It's a cheesy one though, but Da Vinci. Just for his multi-pronged approach and the fact that he had so much going on in his brain that he couldn't even get everything down on paper. He'd half draw something and then something else would come to him. >> I had the opportunity of interviewing Walter Isaacson last year, and he loved... It was the, as we talked about, the science and the design and the merging of those. But reading that biography of him, what struck me is he never finished anything because it would never meet the perfection in his mind to get it done. I've seen that in creative people. They'll start things and then they'll move on to the next thing and there. Me as a engineering by training, it's like no, no. You need to finish work. Manufacturing from standpoint, work in progress is the worst thing you could have out there. >> He would be a rubbish entrepreneur. (chuckling) >> Right, but we're so lucky to have had his brain. >> Exactly. I think that's the thing. I think it gives us an insight into what the brain is capable of and what you can design without even knowing you're designing something. >> Well Fran, thank you so much for coming on theCUBE. This was so fun. >> Thanks for having me. >> I'm Rebecca Knight for Stu Miniman. Stay tuned for more of theCUBE's live coverage of .NEXT. (upbeat music)

>> From Orlando, Florida, it's theCUBE! Covering SAP SAPPHIRE NOW 2018. Brought to you by NetApp. >> Welcome to the CUBE we are in Orlando, at SAP SAPPHIRE 2018, I'm Lisa Martin with Keith Townsend as my co-host. We're in the NetApp booth, and we are very excited to talk to the VP of the Chief Customer Office at SAP, Mark Marcus, Mark, welcome to theCUBE. >> Thank you, glad to be here I appreciate it. >> This event is enormous. One of the things that really struck me in Bill McDermott's key note was, you know, we always here about, oh we are expecting 20 thousand people, he talked about a million people engaging with SAP SAPPHIRE this week, via the in person, and the live, and the on demand video experiences. Massive! 390 thousand customers, hundreds of customer sessions the voice of the customer validating SAP as one of the world's most valuable brands is not only pervasive here its palpable. So talk to us about the Chief Customer Office. What is it, what's it's mission, why was it created? >> Yes, okay that's a great, a great way, so first of all thank you, I appreciate you being here, I live in Orlando so it's great to see this event in my-- People wonder why SAPPHIRE is actually in Orlando, it's because I live here. (all laughing) >> You're the reason! >> You're the reason. >> I'm the reason SAPPHIRE is in Orlando, Florida. >> Okay, you heard it, Mark Marcus, you're the reason. >> No, so what happened is, when Bill McDermott came to SAP, he was a different type of leader, and what he wanted to do immediately is start meeting with customers. So what he did is, he started meeting with customers, and he said if you have any questions or problems, give me a call. And so what happened is, his phone started ringing, people needed help, so he needed somebody that could help him with the customers when he ran North America. And so that was the genesis to Chief Customer Office. So we started off, first, we were extremely reactive. And so what I mean by that is, if the customer had a problem, we'd have to go in, and we'd have to help them. And it's much more difficult when you have a problem, then try to prevent a problem. So what we've been doin' the last several years, is trying to be much more proactive, so instead of waiting for the phone to ring, we've been getting with customers, and making sure, you know, as their project start, begin their steering committee meetings and make sure that things go well. >> So, you've taken that more proactive approach, it's almost how the organization's evolved. What is the focus today? >> Yes, well the focus has always been the customer, but I think it's more of, taking the best practices that we've learned, and actually sharing those with the customers, and helping them explain how other people have done their journey, because what you'll find, is people are in different phases of their journey, and what they like to hear more of is, you know, what did other customers do, what did they do right, what did they do wrong, and how can we be more successful? So we've been able to, over the years, if you think about, just to put it in perspective again, there are, SAP North America has 158 thousand customers, and we're only on, my particular team only has about a hundred of those customers, that we have. So it's a very, very small amount, they're are ones that, you know, are strategic to SAP, that we get involved in. But what we're able to do though, is, through social media and other areas is, customers wanna hear what happened, again, in the past, and how we can, you know, learn from that and move forward. >> So, I'm a big social media fan. Twitter handle has 38 thousand followers, which a lot for your focus on a hundred customers, so I think that, that you're echoing the, the theme very well. Talk to us about how it's changed over the past, 14 or so years, shift has focused from on-premises solutions to hybrid-cloud, to cloud analytics, AI, what's the, what are customers talking about? >> I'll tell you what, you're talkin' my language now, (Keith laughing) okay, because what happened is what we did is, actually what I'm in part, what I'm a part of is actually the cloud ambassador program. And so what that is, is it's focusing on our cloud customers so, you know, success factors, Ariba, Concur, and those kinda things, and so, really what happened, is, you know, when SAP, when I came to SAP 14 years ago, it was all on-premise ERP, alright? So it's very contained, very controlled with what people had now there's Cloud's, we're not really sure what customers are doing, how they're interacting with the solutions, and so what we have to do is we really focus, and again, my group is 100% focused in on that, so. What part of our mission has been is, we're not necessarily know what customers are doing, so we're helping to understand what they're doing, and trying to help educate groups inside SAP to be more responsive and help them. >> So you mentioned having responsibility for some strategic accounts, about a hundred. Do those represent kind of a subset of some of the key areas in which you're looking for the voice of the customer, and their practice using your technology to influence the direction of some of the key technologies? >> Yes, 'cause I'd say they're some of the biggest, most strategic customers that we have, and so what we do a lot of is, we're able to, we align directly with the executives, at the customer, so one of things with Chief Customer Office, is we're aligned at the C level, so it's, the CIO, the CEO, the CFO, at that level, so we're able to say we heard directly from the leaders of the companies, our most important customers, key customers, and we're able to take that back the other areas of SAP, and say, this is the what the leadership's demanding, and that's what we're able to help them with. >> So, as we're going through this phase of digital transformation, through a lot of organizations, that audience is even more important than, what?! (chuckles) Tell me how, as digital transformation has become, more than just a buzzword but a imperative from the C-suite, from CEOs to CIOs, CMOs, CDO, all the C's, CXO! How has the conversation between those groups changed, from the SAP perspective? >> Yeah, I'll tell ya, that is, again, I'm not just sayin' that you are, you're hitting exactly what we focus in on because, traditionally SAP has been focused more on the CIO level, so it's more the IT groups of implemented ERP, it's been more of a back-office type solution, well now, what we're finding is the line of businesses are the people that are actually making the decisions. So what we're finding out is that, it's not necessarily so much that the, technically, how they work, it's more the business processes they have, and how we can help actually, basically automate, and help them run more smoothly. >> Yeah, Hasso Plattner actually, and some of the guys this morning during the keynote talked about that, in terms of, customers were saying, you know, I'm getting kind of confused, there's so many different product names, a lot of acquisitions, he was talking about that, we heard from customers that there was confusion there. So when he was talking about, in the context of C4 for example of, making things simpler to understand, but also to your point, the back office and the front office now has to be connected so they also talked about that, in terms of, the integration with SAP Cloud, and how they really focused on enabling wholistic integration because it's the processes that have to now communicate together, so that, a whole, kind of proactive, customer responsiveness, that was really apparent this morning. 46 years young SAP, you have a new initiative about the customer for life, tell us about that. >> Okay, so customer for life is a new initiative that we have, so what I told you, at the Chief Customer Office we've done, we're able to touch very few customers, but, you know, again, you know we have 156 thousand, in SAP North America, you know, multiply that all over the world, I mean, it's many customers, okay. So what we've tried to do, is take what we've done on a small scale in the Chief Customer Office, and make that pervasive throughout the whole company. And so what we're really good at too is actually, you know, understanding what the customers do, finding them a solution, but now what we wanna do is go through the whole life-cycle of what we do so, I mentioned, you know, having a customer executive assigned to every customer. Being able to be part of the steering committees that we have, and being able to follow them through so we can help guide them, so it's not only selling the solutions but actually helping them through all the way, so the new initiative we set is customer for life, it's something that we're rolling out right now, and we've had, and again, it's taking what we did in the Chief Customer Office and, you know, propagating that through the rest of SAP. >> So, this facility, you like to say it, 16 football fields, American football fields, so that's a big facility. I walked the facility this morning, got in about three thousand steps. Hundred plus partners on the floor, ranging from system integrators, technology partners, and infrastructure space, software SIs. Help us understand as SAP, 20 thousand plus people here at the show, a million people online engaging on SAPPHIRE, SAP is becoming a platform company. How has that changed your role, your conversations? >> Well, I think what has happened a lot is, especially in the cloud projects, again I'm gonna focus more on what I'm a part of is, you know, there's a lot of new partners that come up. Because what happened is that, you know, we acquired several companies, we did, you know Concur, Ariba, SuccessFactors, a lot of big companies, and a lot of different partners. So really what our role is, in the Chief Customer Office is, to basically, to help these partners to understand how to work together, and we do a lot of things in meetings, we have, what we do, is, it's usually like the three legged stool, it is, you know, it's SAP, the partner, and the customer together, and we all do that together. And what I've found is, some of the problems that we've had is not neces-- you know, I always say like, how can take the exact same solution, and it works well in one company, and it doesn't work in another company? And what it is, to your point, with all the partners here, is it's communication, are they working together, you know, is the partner, and SAP, and the customer all working together, and so that's what I'm really focused on today is meeting with all the, you know, do the SAPPHIREs, to meet with the partners, to make sure we're aligned, you know, talk about our key customers, and make sure that we're all working together. >> We talked to one of the gentleman yesterday who was running some of the communities around HANA and Leonardo and, just the massive amount of content that is being generated to enable and educate customers across 25 plus industries, was massive, as well as, leveraging that peer validation from customers, like you're saying, you know, some customers in certain industries have a ton of success with the same thing that others customers struggle, depending on a lot of different variables. So that sort of collaboration and communication, even within the SAP communities alone, was very apparent yesterday that that's one of the big drivers, of I'm sure, the customer for life initiative is, as you have evolved, so have your customers. One thing that struck me yesterday was, you know, looking at, you're now number 17 of the World's top most valuable brands up there with Apple, you know, products that we can engage with and, I saw on a bus yesterday some of the messaging, and ERP you can talk to, and hear from. (Keith laughing) So SAP really set a very lofty ambition of being up there with the Amazons, and the Coca-Colas, and the Googles, and now you have technology that people can, you know, like at home with their digital assistant, talk to and communicate with. I thought that was very powerful message. >> And I'd say that's, I'd say too that, you know, I've worked with SAP for 14 years, and when I came to SAP, nobody had really heard of SAP and what they were, they thought maybe, you know, sometimes on TV when you see SAP when it's translated in other languages or something, that's what they think of SAP, they don't really know what the company is but, yeah, it's been great to see how, you know, people would stop you, you know, whether you're wearin', you know, they'll see somethin' on your laptop, on your shirts or somethin' like that, yeah so it's been good. I think that's been a big focus of getting it out because, one thing is is we have 150 million cloud users, that's a lot of people, so a lot of people use SAP, so. Again, one of the cloud products that we have is called Concur, it's for expense and reporting, and so a lot of times people might not've heard of SAP, but they've heard of Concur, because they all do their expenses, that kinda stuff. So, exactly right, it is pretty good, you know, when you have even family members know who SAP is now. They've done a great job, you know, hiring, you know, with the market department and the people they've hired, it's been great, it's been good. >> So, okay, we talked a little bit about analytics and the customer experience as we're looking at intelligent business. Is that a message that's actually resonating with customers in that top 100 strategic accounts, are they using analytics to actually power business, What are some of the data analysis success stories? >> Yeah, I would say that, what I would say is that, what I've found a lot of times is that, you know, people can get the information in, but they need to be able to get the information out. And so, everybody across that has done it, so, I would just say almost every customer we have has basically needed to get that out, and do reporting and those kinda things, you know? So, part of what we do at the Chief Customer Office is, you know, not only, you know, help them with the reports that they have, but to be able to run that kinda stuff. >> You guys also have, you know, some really interesting use-cases, I'm a Formula One fan, I've worked with Formula One before, I'm, I understand it from a fan perspective. You guys are really involved in McLaren Motorsport, for example, from finance, to procurement, to manufacturing. How are you seeing some of these really big use-cases like Formula One, or Coca-Cola, infuse into some of the, you know, the mid-sized businesses, who, you say, might be using Concur for example. What is some of the value that a small company can get from the massive users? >> Yeah, well I'd say there's a lot of things, because what happens is that from those big massive customers that we have, we're able to put together as we call model company. And so what a model company is, is it takes the best practices you have and puts it into more of a, I'd say nothings out-of-the-box, but makes it much more easier to implement, to be able to do it, so what we're able to do is, you know, with the massive amounts of info like McLaren, I think Hasso mentioned what, there's 400 sensors that they're getting on their cars, and that kind of stuff. So basically being able to take all the information that we have, and then from that, distill it down into where it's a very, repeatable type instance we can use for other customers. So there's a lot, I mean that's what we do with a lot of the, what the customers have, we try to get that back to where other people can use it. >> A Formula One car is basically an IOT device. You said 400 sensors, generating a ton of data, per race weekend, times three days, times 20 events a year. I read from Gartner just the other day that by 2020, which is around the corner, there's expected to be 20 billion IOT devices. What are you hearing from your customer base regarding IOT and being able to synchronize this, you know, modern next-gen data center with myriad devices? >> Yeah, so that is one of our top initiatives that we have right now. Because, one of the things that we've done is, we have an offering that we have called Leonardo, and what Leonardo is, it was named after the inventor Leonardo da Vinci, alright? So, you know, in his time he was, you know, a great innovator, actually went and saw his house and went over to Europe, and I've done a lot with Leonardo, you know what I'm sayin'? To be able to do that, right? But what that is, is that's basically all about, you know, getting devices to be able to get that information in. Because what you do is, you have you know, thousands of sensors and stuff like that and a good, you asked me earlier about a good success story on that, is one of the ones that I think resonates the most on that is in Buenos Aires, they have a massive problem with rain, you know, it rains a lot, and they have severe flooding, and the architecture is antiquated. But what they've found, is the reason that they were having these flooding problems, is because the sewers and the drains were all getting clogged up. So what they did was, they put a sensor in every one of the drains to be able to make sure that they were unclogged and they were flowing freely. So what they did is, they were able to, if the water flow started going down they were able to empty out the drains, even with an antiquated sewer system, because they were keeping it aligned with, you know, using Leonardo now, they can go and keep it cleaned out, they've had massive rains and the flooding hasn't really been there where it is, so now, what's interesting is every time I go by and see a gutter that's all clogged up, I think, you know, they need Leonardo to be able to help! >> I was reading as well about Alicia Tillman, your CMO, who's been at the helm for about nine months now and, in the context of this desire to become one of the top global brands with an invisible product, she said, you know, that one of the most important things for SAP right now is brand narrative, messages and campaigns will change quarterly or, every six months as they should but, she said, you know, to be able to show the value of basically under-the-hood software, you've gotta be able to show how it transforms countries, lives, industries, and that's one of the things that I think is very, very palpable here at the event is how much impact SAP is making in, whether it's rhino conservation in Africa or, you know, helping water scarcity in India, the impact, which is really the most, the biggest validation that you get, right from the voice of your customers is massive. >> Yeah, and I'd say to that, you know I like to say that, you know, it sounds like, you know, yes we're a software company, and, you know, that kinda stuff, but, it is really a noble endeavor, because we are doing a lot of things to help people's lives, and to run their businesses better, and what you realize is that, Chief Customer Office sometimes we see that other side when the systems aren't running properly at times, you know, they're usually runnin' right, but sometimes they have problems, and when they do, you can just see the impact you have on, you know, people's lives and businesses and stuff like that, that it is really running, you know, it is core to what you have, you know. So I'll tell you one of the interesting things that SAP's involved in is, they do a lot with instant messaging, so they have a part of, one of the acquisitions we have does instant messaging, well, you don't think about that but like, when you use, let's say, Facebook Messenger, or something like that, those messages go inside an SAP infrastructure at times, right? So imagine, you know, if you can't change messages, or doin' those kinda things, you know, so. You're exactly right, it definitely does, what we're doing does really impact a lot of peoples lives, so it's important. >> Well mark, thanks so much for taking some time to stop by theCUBE and chat with us about what SAP is doing with customers, how they're really symbiotically working together with you to evolve and transform this company. >> I wanna say one other thing too, it's great to work with two professionals here, you guys have really helped me a lot. >> Aww! >> I don't do this a lot, but it really made me feel comfortable, so you, I appreciate your help, thank you. >> Our pleasure, thanks so much! And, so you're the reason SAPPHIRE's in Orlando, are you also the reason they got Justin Timberlake tomorrow night?! (Mark laughing) >> I would like that. But I would like to say real quick, one thing before we cut real quick, I would like to say one thing just about the NetApp partnership we have. So RJ Bibby is the person that I work with at NetApp, and, just what he's done to basically, because NetApp really helps run a lot of our infrastructure inside SAP, so it's success factors, some of the high-availability in things that we have, and just working with RJ, and kinda learning how we, how we work and can help other customers, they've really volunteered to help a lot of our customers, and so, I just wanna thank NetApp again for helping us sponsor this. >> Great, great closing. We wanna thank NetApp for having theCUBE in their booth. Lisa Martin, with Keith Townsend, we are at SAP SAPPHIRE NOW 2018, thanks for watching! (bubbly music)

welcome to Las Vegas everybody watching the cube the leader in live tech coverage my name is Dave Boehne on time student Leena man he with my co-host Keith Townsend I'm Lisa Meredith John Sawyer coverage of Dell technologies world 2018 thanks so much for having us here and thanks for joining us on the Q how great to be here thank you guys for all the great coverage you always do a wonderful job [Music] loads of people here 14,000 in attendance 6500 partners analysts press you name it it's here talking about all things transformation we have this incredible platform that's been built over the last thirty years but now there are all these new enabling technologies that are going to take it much further as super powers are coming together the compute is now big enough the data is now volume is enough that we can do things never possible before obviously a very good couple of years since the Dell EMC merger it's really helped us there companies have come together right and and the and the offerings have come together together in a much more integrated fashion one of the most funny shows I mean obviously it's important for us to set our vision but you see things like the bean bags and sitting out there as a therapy job they're working so to be able to take a break and just spend some time breathing with some animals really really good and it didn't really experience the fun in the solutions Expo I'm a car guy so you know and talking about the way that we're taking plastic trash out of ocean and making art with it topped off as a great DX rail customer we have gold control try to beat the AI and TVs for a goal and it's a very cool demos vector right behind me we have our partner lounge we're hosting over 800 one-on-one meetings bdellium see executives or the partner executives so it's a combination of technical training networking executive meetings obviously product launches and announcements that we're bringing to market the opportunity to really cultivate it work globally in our global partner summit so it's a pretty active week the power of all of our capabilities we're powering up the modern data center the magnitude shift and what this portfolio can now do for our customers it's mind-boggling we've been talking for years about data as the rocket fuel of the economy and a business transformation and now we're really talking about data combined with those emerging technologies so things like AI IOT blockchain which are really taking that data and unlocking the business value data is the precious metal ISTE it's the crucial asset the whole world is gonna be wired everything is gonna have sensors outside of data center environments that's where all the data is gonna be produced and that's where decisions are going to be made and be all kinds of data if you've got structured data unstructured data and now it's important that we actually get all the disparate data into a format that can now be executed upon the business strategy really is the IT strategy and for that to happen we really have to bring our IT talent up the stack into where it's really enabling the business and that's usually at that application layer makes it more agile removes cost reduces complexity makes the planet more green we think we've got a long way to go in just building a private cloud making the data center if you like a cloud that's part number one freightin number two extending to the hybrid cloud the benefit of the fact that it is hosted in the cloud means that customers don't have anything to deploy and just like your smartphone you get all of the latest upgrades with no effort at all seamless process to scale quickly when you have new hotels coming online for example from a storage administrator perspective you can focus on much more strategic initiatives you don't have to do the day-to-day management you have to worry about what data sending where you don't to worry about how much of the different media types you've put into that array you just deploy it and it manages itself you can focus on more tasks this is the realest first step of actually trying to be truly autonomous storage it took so much time to do it before that I'd have to run my guys ragged for you know two or three weeks I'm like all right stay up overnight make sure at all companies that means value to customers that's money that they're saving directly there's a portfolio effect where customers look across everything that we're doing you say you know I don't really want to deal with 25 little companies but I wouldn't have a bigger relationship with Dell technologies and of course the dirty secret is is that almost all of the cool new apps are some ugly combination of new and old you don't want to have to have some other interface to go to it just has to be a natural extension of what your day-to-day job is you'll get this dashboard kind of help score across the entire environment then you'll see the red yellow green type markings on what to next the isolation piece of the solution is really where the value comes in you can use that for analysis of that data in that cleanroom to be able to detect early on problems that may be happening in your production environment the alternative one one product for everything we've always chosen not to go that path give them the flexibility to change whether it is nvme drives or any kind of SSD drives GPUs FPGAs the relevance of what we are doing has never been greater if they can sustain a degree of focus that allows them to pay down their debt do the financial engineering and Tom Suites our study I want you to take economics out of your decision about whether you want to go to the cloud or not because we can offer that capacity and capability depends a lot around the customer environment what kind of skill sets do they have are they willing to you know help you know go through some of that do-it-yourself type of process obviously Dell UMC services is there to help them you can't have mission-critical all this consolidations without data protection if they're smart enough to figure out where your backups are you're left with no protection so we really needed to isolate and put off network all that critical data we have built into power max the capabilities to do a direct backup from power max to a data domain and that gets you that second protection copy also on a protection storage it's no longer just about protecting the data but also about compliance and visibility it's about governance of the data it's really about management making it available so those are trends in which I think this this industry is not basically evolved over time in comes the Dell technologies world and you see this amazing dizzying array of new things and you're like wow that sounds great how do I do it right train them enable them package it for them I know the guys offer you where you can go in and so classroom kind of sympathy for today and see it in action before you actually purchase and use it we want them to engage in the hundreds of technical sessions that we have but still come away with I wish I could have gone to some more right and and so we we have all those online and and you know for us this is also big ears we're listening and we're learning we're hearing from our customers no I'm a little maybe a little smaller than some of your others but you still treat me like I'm the head you still listen to me I bring you ideas you say this fits so it's very very exciting to have a partner that does that with you do all of your reference Falls see it for yourself I mean I think quite a number of reference calls if people are in the same boat I was you know I'll scream share with them if they want to see our numbers I'll show them this is the opportunity for all of us embrace whether it's in the cube or through the sessions learn adjust because everybody's modernizing everybody needs to transform this is a great opportunity for them to do that with their skill set in their knowledge in the industry if everything you did work perfectly you're not trying enough stuff you need a change agent need a champion most likely at the senior level that's gonna really ride through this journey first three months didn't make a whole lot of progress I was just yelling like a madman to say Weiss it's not getting done and then you have to go back into I have to hire the right people so let's talk a few thing I made changes to the leadership team need more role models you need to get rid of and totally eliminate the harassment and the bullying and the you know old boys kind of club you got to create places where women in and minorities feel like they can be themselves culture plays a huge huge huge role there's just a wealth of enormously talented people now in our company ultimately creating a shared vision and an inspiring vision for what we want to do in the future you either embrace it okay you either stand on the sidelines or you leave the most creative of people from Leonardo da Vinci to Einstein Ben Franklin but Steve Jobs all love of the humanities and the science they stand at that intersection of sort of liberal arts technology you've got to interview Ashton Kutcher yeah which was quite amazing he's an unbelievable people don't maybe don't know no he's an investor he's kind of a geek Yeah right even though he's engineer my training please know that when you bring together a diverse group of individuals Jules always get to better answer for your customer you do place your bets on dell technology that's the right partner for you it's gonna it's gonna move you and your company Michael's got the right vision of where this is going he's got the right technology to do it and we've got great team members to help you get there simple predictable profitable right right keep it it's really that simple we need a few more thousand salespeople so if you're if you're really talented you know how to sell stuff you know it come come come join us at Dell technologies work where I earn more salespeople the future as Bob Dickinson said today we can cool all right everybody that's it from Dell technologies world I love you guys it's always great to be on the cube you guys do a fabulous job they go for a live tech coverage and it really has been a lot of fun we appreciate you and your team being here the next year we're gonna go party for your 10 year anniversary the cube love it we want to thank you for watching the cube again Lisa Martin with John Turner I'm Stu Mittleman this is Keith Townsend thanks for watching everybody we'll see you next time [Music] [Music]

>> Announcer: Live from Las Vegas, it's theCUBE, covering Dell Technologies World 2018, brought to you buy Dell EMC and its ecosystem partners. >> Welcome back to SiliconANGLE's Media Production of theCUBE, live here from Dell Technologies World 2018. I'm Stu Miniman, and I have the distinct pleasure of welcoming Walter Isaacson to our program. Author, podcaster, I read every biography that you publish. I listen to every podcast, so thank you. So, Walter, this is a conference of geeks, you know? And I say that lovingly, 14 thousand people. They love technology; they love ideas. You have the chance to study and research some of the, you know, most brilliant minds, that we've had the last couple hundred years. Where do you get your inspiration from? >> You know, I love the fact that the most creative of people, from Leonardo Da Vinci to Einstein, Ben Franklin, Steve Jobs, Ada Lovelace, whomever they may be, all love the humanities and the science. They stand at that intersection of sort of liberal acts technology, and that's so important in today's world. We can have enormous amounts of data, and the question is, how do you connect humans to it? How do you add the human factor? And so, that's where I get my inspiration, from people who stand at that interaction of humanities and technology. >> Yeah, one of my favorite books of yours is the Innovators. You talked about history, and there's things that we've been looking at or trying. When you talk about forecasting or predicting something, sometimes we have great ideas, but if I take us, you know, decades or longer to get there, any kind of, you know, big inspirations? What do you say to people that work in the tech world, just how they should think about things like that? >> Well, first of all, things happen sometimes slower than you expect, until that inflection point, when they happen faster than you expect. >> It's like going broke, you know? It happens really slow, and then it happens fast. >> I guess we shouldn't say that in Vegas, here where we are for this conference, but I think that the main thing to do is to be one of those people that has an intuitive feel for how humans are going to find a product or service to be transformative to them. And, you know, we didn't know we needed a thousand songs in our pocket till the iPod came along. You know, likewise, we didn't know we needed transistors until somebody invented the transistor radio, and we could take it along with us. So, what turns us on? What makes us human? >> Yeah, so many things out there. You've been not only writing; you're doing podcasts now. What do you think of kind of the state of content? People say sometimes nobody reads anymore. You do hard research, a team of people. What's your thoughts about content these days? >> Well, I think the business model for journalism and production of content has been decimated at times, partly because it's all ad-driven in terms of journalism and, you know, video, and we need to get back to a time when people valued content and are willing to have a direct relationship with the content provider. About 80% of the revenue now for, say, reported or journalistic content does either the Google, Facebook, Instagram, some aggregator, so I think we have to look at the next way of finding micro-payment subscription models that work in addition to the advertising-driven model. >> Yeah, there's so many people sometimes, they look at all of this change, and they get kind of pessimistic. You know, we're going to have the AI apocalypse, or the robots are going to take over. Shows like here we're, that technology is, I say, by definition, are positive about technology. When I read your writings, you seem to have a very positive outcome. >> Oh, I'm definitely optimistic about where technology takes us. You know, I write in the Innovators, begin with Ada Lovelace, who was Lord Byron's daughter. Her father was a lud eyed, you know, defended the followers of Ned Lot, who was smashing the looms of England, thinking that technology would put people out of work. But Ada was somebody who said, "I get it. The punch card's telling those looms how to do patterns could make a calculating machine be able to do numbers, as well as words, as well as pictures." She envisioned the computer, and the notion of technology increases the number of people in the textile industry in England in the 19th century. And the computer has led to so many more jobs than its destroyed, so I think technology will always augment human creativity, not destroy it. >> So, last thing I wanted to ask you, Walter, is, we're here at Dell Technologies World. 34 years ago, Michael Dell started this. And he's a special individual. We've had the opportunity to talk to him, get to know him. I've told people that, you know, inside the company, if you reach out to him, he actually will respond. He seems very special in today's day in age. You've got background with Michael. Tell me, how do you-? >> I think it practically begins with his parents, his late mother and his father, you know, his father's still alive. Care a lot about education; care a lot about creativity. Deeply humane in the sense that they love all of society, human civil discourse, and that's why there's a humanity I see that Michael Dell is able to embed in his products, whether it's a Dell laptop I always use or the new servers, and Dell EMC, which enables people across platforms to say, "How do we collaborate; how do we be creative?" >> All right, well, Walter, I just say thank you so much. A pleasure having you on the program. And you've been watching theCUBE. I'm Stu Miniman. Always check out thecube.net for all of our broadcasts, and we also, like Walter, have a podcast. Check it out on iTunes. >> Walter: Thank you, Stu. >> Thank you. (upbeat music)

Section 1 of 13 [00:00:00 - 00:10:04] (NOTE: speaker names may be different in each section) Speaker 1: Ladies and gentlemen our program will begin momentarily. Thank you. (singing) This presentation and the accompanying oral commentary may include forward looking statements that are subject to risks uncertainties and other factors beyond our control. Our actual results, performance or achievements may differ materially and adversely from those anticipated or implied by such statements because of various risk factors. Including those detailed in our annual report on form 10-K for the fiscal year ended July 31, 2017 filed with the SEC. Any future product or roadmap information presented is intended to outline general product direction and is not a commitment to deliver any functionality and should not be used when making any purchasing decision. (singing) Ladies and gentlemen please welcome Vice President Corporate Marketing Nutanix, Julie O'Brien. Julie O'Brien: All right. How about those Nutanix .NEXT dancers, were they amazing or what? Did you see how I blended right in, you didn't even notice I was there. [French 00:07:23] to .NEXT 2017 Europe. We're so glad that you could make it today. We have such a great agenda for you. First off do not miss tomorrow morning. We're going to share the outtakes video of the handclap video you just saw. Where are the customers, the partners, the Nutanix employee who starred in our handclap video? Please stand up take a bow. You are not going to want to miss tomorrow morning, let me tell you. That is going to be truly entertaining just like the next two days we have in store for you. A content rich highly interactive, number of sessions throughout our agenda. Wow! Look around, it is amazing to see how many cloud builders we have with us today. Side by side you're either more than 2,200 people who have traveled from all corners of the globe to be here. That's double the attendance from last year at our first .NEXT Conference in Europe. Now perhaps some of you are here to learn the basics of hyperconverged infrastructure. Others of you might be here to build your enterprise cloud strategy. And maybe some of you are here to just network with the best and brightest in the industry, in this beautiful French Riviera setting. Well wherever you are in your journey, you'll find customers just like you throughout all our sessions here with the next two days. From Sligro to Schroders to Societe Generale. You'll hear from cloud builders sharing their best practices and their lessons learned and how they're going all in with Nutanix, for all of their workloads and applications. Whether it's SAP or Splunk, Microsoft Exchange, unified communications, Cloud Foundry or Oracle. You'll also hear how customers just like you are saving millions of Euros by moving from legacy hypervisors to Nutanix AHV. And you'll have a chance to post some of your most challenging technical questions to the Nutanix experts that we have on hand. Our Nutanix technology champions, our MPXs, our MPSs. Where are all the people out there with an N in front of their certification and an X an R an S an E or a C at the end. Can you wave hello? You might be surprised to know that in Europe and the Middle East alone, we have more than 2,600 >> Julie: In Europe and the Middle East alone, we have more than 2,600 certified Nutanix experts. Those are customers, partners, and also employees. I'd also like to say thank you to our growing ecosystem of partners and sponsors who are here with us over the next two days. The companies that you meet here are the ones who are committed to driving innovation in the enterprise cloud. Over the next few days you can look forward to hearing from them and seeing some fantastic technology integration that you can take home to your data center come Monday morning. Together, with our partners, and you our customers, Nutanix has had such an exciting year since we were gathered this time last year. We were named a leader in the Gartner Magic Quadrant for integrated systems two years in a row. Just recently Gartner named us the revenue market share leader in their recent market analysis report on hyper-converged systems. We know enjoy more than 35% revenue share. Thanks to you, our customers, we received a net promoter score of more than 90 points. Not one, not two, not three, but four years in a row. A feat, I'm sure you'll agree, is not so easy to accomplish, so thank you for your trust and your partnership in us. We went public on NASDAQ last September. We've grown to more than 2,800 employees, more than 7,000 customers and 125 countries and in Europe and the Middle East alone, in our Q4 results, we added more than 250 customers just in [Amea 00:11:38] alone. That's about a third of all of our new customer additions. Today, we're at a pivotal point in our journey. We're just barely scratching the surface of something big and Goldman Sachs thinks so too. What you'll hear from us over the next two days is this: Nutanix is on it's way to building and becoming an iconic enterprise software company. By helping you transform your data center and your business with Enterprise Cloud Software that gives you the power of freedom of choice and flexibility in the hardware, the hypervisor and the cloud. The power of one click, one OS, any cloud. And now, to tell you more about the digital transformation that's possible in your business and your industry and share a little bit around the disruption that Nutanix has undergone and how we've continued to reinvent ourselves and maybe, if we're lucky, share a few hand clap dance moves, please welcome to stage Nutanix Founder, CEO and Chairman, Dheeraj Pandey. Ready? Alright, take it away [inaudible 00:13:06]. >> Dheeraj P: Thank you. Thank you, Julie and thank you every one. It looks like people are still trickling. Welcome to Acropolis. I just hope that we can move your applications to Acropolis faster than we've been able to move people into this room, actually. (laughs) But thank you, ladies and gentlemen. Thank you to our customers, to our partners, to our employees, to our sponsors, to our board members, to our performers, to everybody for their precious time. 'Cause that's the most precious thing you actually have, is time. I want to spend a little bit of time today, not a whole lot of time, but a little bit of time talking about the why of Nutanix. Like why do we exist? Why have we survived? Why will we continue to survive and thrive? And it's simpler than an NQ or category name, the word hyper-convergence, I think we are all complicated. Just thinking about what is it that we need to talk about today that really makes it relevant, that makes you take back something from this conference. That Nutanix is an obvious innovation, it's very obvious what we do is not very complicated. Because the more things change, the more they remain the same, so can we draw some parallels from life, from what's going on around us in our own personal lives that makes this whole thing very natural as opposed to "Oh, it's hyper-converged, it's a category, it's analysts and pundits and media." I actually think it's something new. It's not that different, so I want to start with some of that today. And if you look at our personal lives, everything that we had, has been digitized. If anything, a lot of these gadgets became apps, they got digitized into a phone itself, you know. What's Nutanix? What have we done in the last seven, eight years, is we digitized a lot of hardware. We made everything that used to be single purpose hardware look like pure software. We digitized storage, we digitized the systems manager role, an operations manager role. We are digitizing scriptures, people don't need to write scripts anymore when they automate because we can visually design automation with [com 00:15:36]. And we're also trying to make a case that the cloud itself is not just a physical destination. That it can be digitized and must be digitized as well. So we learn that from our personal lives too, but it goes on. Look at music. Used to be tons of things, if you used to go to [inaudible 00:15:55] Records, I'm sure there were European versions of [inaudible 00:15:57] Records as well, the physical things around us that then got digitized as well. And it goes on and on. We look at entertainment, it's very similar. The idea that if you go to a movie hall, the idea that you buy these tickets, the idea that we'd have these DVD players and DVDs, they all got digitized. Or as [inaudible 00:16:20] want to call it, virtualized, actually. That is basically happening in pretty much new things that we never thought would look this different. One of the most exciting things happening around us is the car industry. It's getting digitized faster than we know. And in many ways that we'd not even imagined 10 years ago. The driver will get digitized. Autonomous cars. The engine is definitely gone, it's a different kind of an engine. In fact, we'll re-skill a lot of automotive engineers who actually used to work in mechanical things to look at real chemical things like battery technologies and so on. A lot of those things that used to be physical are now in software in the car itself. Media itself got digitized. Think about a physical newspaper, or physical ads in newspapers. Now we talk about virtual ads, the digital ads, they're all over on websites and so on is our digital experience now. Education is no different, you know, we look back at the kind of things we used to do physically with physical things. Their now all digital. The experience has become that digital. And I can go on and on. You look at retail, you look at healthcare, look at a lot of these industries, they all are at the cusp of a digital disruption. And in fact, if you look at the data, everybody wants it. We all want a digital transformation for industries, for companies around us. In fact, the whole idea of a cloud is a highly digitized data center, basically. It's not just about digitizing servers and storage and networks and security, it's about virtualizing, digitizing the entire data center itself. That's what cloud is all about. So we all know that it's a very natural phenomenon, because it's happening around us and that's the obviousness of Nutanix, actually. Why is it actually a good thing? Because obviously it makes anything that we digitize and we work in the digital world, bring 10X more productivity and decision making efficiencies as well. And there are challenges, obviously there are challenges, but before I talk about the challenges of digitization, think about why are things moving this fast? Why are things becoming digitally disrupted quicker than we ever imagined? There are some reasons for it. One of the big reasons is obviously we all know about Moore's Law. The fact that a lot of hardware's been commoditized, and we have really miniaturized hardware. Nutanix today runs on a palm-sized server. Obviously it runs on the other end of the spectrum with high-end IBM power systems, but it also runs on palm-sized servers. Moore's Law has made a tremendous difference in the way we actually think about consuming software itself. Of course, the internet is also a big part of this. The fact that there's a bandwidth glut, there's Trans-Pacific cables and Trans-Atlantic cables and so on, has really connected us a lot faster than we ever imagined, actually, and a lot of this was also the telecom revolution of the '90s where we really produced a ton of glut for the internet itself. There's obviously a more subtle reason as well, because software development is democratizing. There's consumer-grade programming languages that we never imagined 10, 15, 20 years ago, that's making it so much faster to write- >> Speaker 1: 15-20 years ago that's making it so much faster to write code, with this crowdsourcing that never existed before with Githubs and things like that, open source. There's a lot more stuff that's happening that's outside the boundary of a corporation itself, which is making things so much faster in terms of going getting disrupted and writing things at 10x the speed it used to be 20 years ago. There is obviously this technology at the tip of our fingers, and we all want it in our mobile experience while we're driving, while we're in a coffee shop, and so on; and there's a tremendous focus on design on consumer-grade simplicity, that's making digital disruption that much more compressed in some of sense of this whole cycle of creative disruption that we talk about, is compressed because of mobility, because of design, because of API, the fact that machines are talking to machines, developers are talking to developers. We are going and miniaturizing the experience of organizations because we talk about micro-services and small two-pizza teams, and they all want to talk about each other using APIs and so on. Massive influence on this digital disruption itself. Of course, one of the reasons why this is also happening is because we want it faster, we want to consume it faster than ever before. And our attention spans are reducing. I like the fact that not many people are watching their cell phones right now, but you can imagine the multi-tasking mode that we are all in today in our lives, makes us want to consume things at a faster pace, which is one of the big drivers of digital disruption. But most importantly, and this is a very dear slide to me, a lot of this is happening because of infrastructure. And I can't overemphasize the importance of infrastructure. If you look at why did Google succeed, it was the ninth search engine, after eight of them before, and if you take a step back at why Facebook succeeded over MySpace and so on, a big reason was infrastructure. They believed in scale, they believed in low latency, they believed in being able to crunch information, at 10x, 100x, bigger scale than anyone else before. Even in our geopolitical lives, look at why is China succeeding? Because they've made infrastructure seamless. They've basically said look, governance is about making infrastructure seamless and invisible, and then let the businesses flourish. So for all you CIOs out there who actually believe in governance, you have to think about what's my first role? What's my primary responsibility? It's to provide such a seamless infrastructure, that lines of business can flourish with their applications, with their developers that can write code 10x faster than ever before. And a lot of these tenets of infrastructure, the fact of the matter is you need to have this always-on philosophy. The fact that it's breach-safe culture. Or the fact that operating systems are hardware agnostic. A lot of these tenets basically embody what Nutanix really stands for. And that's the core of what we really have achieved in the last eight years and want to achieve in the coming five to ten years as well. There's a nuance, and obviously we talk about digital, we talk about cloud, we talk about everything actually going to the cloud and so on. What are the things that could slow us down? What are the things that challenge us today? Which is the reason for Nutanix? Again, I go back to this very important point that the reason why we think enterprise cloud is a nuanced term, because the word "cloud" itself doesn't solve for a lot of the problems. The public cloud itself doesn't solve for a lot of the problems. One of the big ones, and obviously we face it here in Europe as well, is laws of the land. We have bureaucracy, which we need to deal with and respect; we have data sovereignty and computing sovereignty needs that we need to actually fulfill as well, while we think about going at breakneck speed in terms of disrupting our competitors and so on. So there's laws of the land, there's laws of physics. This is probably one of the big ones for what the architecture of cloud will look like itself, over the coming five to ten years. Our take is that cloud will need to be more dispersed than they have ever imagined, because computing has to be local to business operations. Computing has to be in hospitals and factories and shop floors and power plants and on and on and on... That's where you really can have operations and computing really co-exist together, cause speed is important there as well. Data locality is one of our favorite things; the fact that computing and data have to be local, at least the most relevant data has to be local as well. And the fact that electrons travel way faster when it's actually local, versus when you have to have them go over a Wide Area Network itself; it's one of the big reasons why we think that the cloud will actually be more nuanced than just some large data centers. You need to disperse them, you need to actually think about software (cloud is about software). Whether data plane itself could be dispersed and even miniaturized in small factories and shop floors and hospitals. But the control plane of the cloud is centralized. And that's the way you can have the best of both worlds; the control plane is centralized. You think as if you're managing one massive data center, but it's not because you're really managing hundreds or thousands of these sites. Especially if you think about edge-based computing and IoT where you really have your tentacles in tens of thousands of smaller devices and so on. We've talked about laws of the land, which is going to really make this digital transformation nuanced; laws of physics; and the third one, which is really laws of entropy. These are hackers that do this for adrenaline. These are parochial rogue states. These are parochial geo-politicians, you know, good thing I actually left the torture sign there, because apparently for our creative designer, geo-politics is equal to torture as well. So imagine one bad tweet can actually result in big changes to the way we actually live in this world today. And it's important. Geo-politics itself is digitized to a point where you don't need a ton of media people to go and talk about your principles and what you stand for and what you strategy for, for running a country itself is, and so on. And these are all human reasons, political reasons, bureaucratic reasons, compliance and regulations reasons, that, and of course, laws of physics is yet another one. So laws of physics, laws of the land, and laws of entropy really make us take a step back and say, "What does cloud really mean, then?" Cause obviously we want to digitize everything, and it all should appear like it's invisible, but then you have to nuance it for the Global 5000, the Global 10000. There's lots of companies out there that need to really think about GDPR and Brexit and a lot of the things that you all deal with on an everyday basis, actually. And that's what Nutanix is all about. Balancing what we think is all about technology and balancing that with things that are more real and practical. To deal with, grapple with these laws of the land and laws of physics and laws of entropy. And that's where we believe we need to go and balance the private and the public. That's the architecture, that's the why of Nutanix. To be able to really think about frictionless control. You want things to be frictionless, but you also realize that you are a responsible citizen of this continent, of your countries, and you need to actually do governance of things around you, which is computing governance, and data governance, and so on. So this idea of melding the public and the private is really about melding control and frictionless together. I know these are paradoxical things to talk about like how do you really have frictionless control, but that's the life you all lead, and as leaders we have to think about this series of paradoxes itself. And that's what Nutanix strategy, the roadmap, the definition of enterprise cloud is really thinking about frictionless control. And in fact, if anything, it's one of the things is also very interesting; think about what's disrupting Nutanix as a company? We will be getting disrupted along the way as well. It's this idea of true invisibility, the public cloud itself. I'd like to actually bring on board somebody who I have a ton of respect for, this leader of a massive company; which itself is undergoing disruption. Which is helping a lot of its customers undergo disruption as well, and which is thinking about how the life of a business analyst is getting digitized. And what about the laws of the land, the laws of physics, and laws of entropy, and so on. And we're learning a lot from this partner, massively giant company, called IBM. So without further ado, Bob Picciano. >> Bob Picciano: Thanks, >> Speaker 1: Thank you so much, Bob, for being here. I really appreciate your presence here- >> Bob Picciano: My pleasure! >> Speaker 1: And for those of you who actually don't know Bob, Bob is a Senior VP and General Manager at IBM, and is all things cognitive and obviously- >> Speaker 1: IBM is all things cognitive. Obviously, I learn a lot from a lot of leaders that have spent decades really looking at digital disruption. >> Bob: Did you just call me old? >> Speaker 1: No. (laughing) I want to talk about experience and talking about the meaning of history, because I love history, actually, you know, and I don't want to make you look old actually, you're too young right now. When you talk about digital disruption, we look at ourselves and say, "Look we are not extremely invisible, we are invisible, but we have not made something as invisible as the public clouds itself." And hence as I. But what's digital disruption mean for IBM itself? Now, obviously a lot of hardware is being digitized into software and cloud services. >> Bob: Yep. >> Speaker 1: What does it mean for IBM itself? >> Bob: Yeah, if you allow me to take a step back for a moment, I think there is some good foundational understanding that'll come from a particular point of view. And, you talked about it with the number of these dimensions that are affecting the way businesses need to consider their competitiveness. How they offer their capabilities into the market place. And as you reflected upon IBM, you know, we've had decades of involvement in information technology. And there's a big disruption going on in the information technology space. But it's what I call an accretive disruption. It's a disruption that can add value. If you were to take a step back and look at that digital trajectory at IBM you'd see our involvement with information technology in a space where it was all oriented around adding value and capability to how organizations managed inscale processes. Thinking about the way they were going to represent their businesses in a digital form. We came to call them applications. But it was how do you open an account, how do you process a claim, how do you transfer money, how do you hire an employee? All the policies of a company, the way the people used to do it mechanically, became digital representations. And that foundation of the digital business process is something that IBM helped define. We invented the role of the CIO to help really sponsor and enter in this notion that businesses could re represent themselves in a digital way and that allowed them to scale predictably with the qualities of their brand, from local operations, to regional operations, to international operations, and show up the same way. And, that added a lot of value to business for many decades. And we thrived. Many companies, SAP all thrived during that span. But now we're in a new space where the value of information technology is hitting a new inflection point. Which is not about how you scale process, but how you scale insight, and how you scale wisdom, and how you scale knowledge and learning from those operational systems and the data that's in those operational systems. >> Speaker 1: How's it different from 1993? We're talking about disruption. There was a time when IBM reinvented itself, 20-25 years ago. >> Bob: Right. >> Speaker 1: And you said it's bigger than 25 years ago. Tell us more. >> Bob: You know, it gets down. Everything we know about that process space right down to the very foundation, the very architecture of the CPU itself and the computer architecture, the von Neumann architecture, was all optimized on those relatively static scaled business processes. When you move into the notion where you're going to scale insight, scale knowledge, you enter the era that we call the cognitive era, or the era of intelligence. The algorithms are very different. You know the data semantically doesn't integrate well across those traditional process based pools and reformation. So, new capabilities like deep learning, machine learning, the whole field of artificial intelligence, allows us to reach into that data. Much of it unstructured, much of it dark, because it hasn't been indexed and brought into the space where it is directly affecting decision making processes in a business. And you have to be able to apply that capability to those business processes. You have to rethink the computer, the circuitry itself. You have to think about how the infrastructure is designed and organized, the network that is required to do that, the experience of the applications as you talked about have to be very natural, very engaging. So IBM does all of those things. So as a function of our transformation that we're on now, is that we've had to reach back, all the way back from rethinking the CPU, and what we dedicate our time and attention to. To our services organization, which is over 130,000 people on the consulting side helping organizations add digital intelligence to this notion of a digital business. Because, the two things are really a confluence of what will make this vision successful. >> Speaker 1: It looks like massive amounts of change for half a million people who work with the company. >> Bob: That's right. >> Speaker 1: I'm sure there are a lot of large customers out here, who will also read into this and say, "If IBM feels disrupted ... >> Bob: Uh hm >> Speaker 1: How can we actually stay not vulnerable? Actually there is massive amounts of change around their own competitive landscape as well. >> Bob: Look, I think every company should feel vulnerable right. If you're at this age, this cognitive era, the age of digital intelligence, and you're not making a move into being able to exploit the capabilities of cognition into the business process. You are vulnerable. If you're at that intersection, and your competitor is passing through it, and you're not taking action to be able to deploy cognitive infrastructure in conjunction with the business processes. You're going to have a hard time keeping up, because it's about using the machines to do the training to augment the intelligence of our employees of our professionals. Whether that's a lawyer, or a doctor, an educator or whether that's somebody in a business function, who's trying to make a critical business decision about risk or about opportunity. >> Speaker 1: Interesting, very interesting. You used the word cognitive infrastructure. >> Bob: Uh hm >> Speaker 1: There's obviously computer infrastructure, data infrastructure, storage infrastructure, network infrastructure, security infrastructure, and the core of cognition has to be infrastructure as well. >> Bob: Right >> Speaker 1: Which is one of the two things that the two companies are working together on. Tell us more about the collaboration that we are actually doing. >> Bob: We are so excited about our opportunity to add value in this space, so we do think very differently about the cognitive infrastructure that's required for this next generation of computing. You know I mentioned the original CPU was built for very deterministic, very finite operations; large precision floating point capabilities to be able to accurately calculate the exact balance, the exact amount of transfer. When you're working in the field of AI in cognition. You actually want variable precision. Right. The data is very sparse, as opposed to the way that deterministic or scorecastic operations work, which is very dense or very structured. So the algorithms are redefining the processes that the circuitry actually has to run. About five years ago, we dedicated a huge effort to rethink everything about the chip and what we made to facilitate an orchestra of participation to solve that problem. We all know the GPU has a great benefit for deep learning. But the GPU in many cases, in many architectures, specifically intel architectures, it's dramatically confined by a very small amount of IO bandwidth that intel allows to go on and off the chip. At IBM, we looked at all 686 roughly square millimeters of our chip and said how do we reuse that square area to open up that IO bandwidth? So the innovation of a GPU or a FPGA could really be utilized to it's maximum extent. And we could be an orchestrator of all of the diverse compute that's going to be necessary for AI to really compel these new capabilities. >> Speaker 1: It's interesting that you mentioned the fact that you know power chips have been redefined for the cognitive era. >> Bob: Right, for Lennox for the cognitive era. >> Speaker 1: Exactly, and now the question is how do you make it simple to use as well? How do you bring simplicity which is where ... >> Bob: That's why we're so thrilled with our partnership. Because you talked about the why of Nutanix. And it really is about that empowerment. Doing what's natural. You talked about the benefits of calm and being able to really create that liberation of an information technology professional, whether it's in operations or in development. Having the freedom of action to make good decisions about defining the infrastructure and deploying that infrastructure and not having to second guess the physical limitations of what they're going to have to be dealing with. >> Speaker 1: That's why I feel really excited about the fact that you have the power of software, to really meld the two forms together. The intel form and the power form comes together. And we have some interesting use cases that our CIO Randy Phiffer is also really exploring, is how can a power form serve as a storage form for our intel form. >> Bob: Sure. >> Speaker 1: It can serve files and mocks and things like that. >> Bob: Any data intensive application where we have seen massive growth in our Lennox business, now for our business, Lennox is 20% of the revenue of our power systems. You know, we started enabling native Lennox distributions on top of little Indian ones, on top of the power capabilities just a few years ago, and it's rocketed. And the reason for that if for any data intensive application like a data base, a no sequel database or a structured data base, a dupe in the unstructured space, they typically run about three to four times better price performance on top of Lennox on power, than they will on top of an intel alternative. >> Speaker 1: Fascinating. >> Bob: So all of these applications that we're talking about either create or consume a lot of data, have to manage a lot of flexibility in that space, and power is a tremendous architecture for that. And you mentioned also the cohabitation, if you will, between intel and power. What we want is that optionality, for you to utilize those benefits of the 3X better price performance where they apply and utilize the commodity base where it applies. So you get the cost benefits in that space and the depth and capability in the space for power. >> Speaker 1: Your tongue in cheek remark about commodity intel is not lost on people actually. But tell us about... >> Speaker 1: Intel is not lost on people actually. Tell us about ... Obviously we digitized Linux 10, 15 years ago with [inaudible 00:40:07]. Have you tried to talk about digitizing AIX? That is the core of IBM's business for the last 20, 25, 30 years. >> Bob: Again, it's about this ability to compliment and extend the investments that businesses have made during their previous generations of decision making. This industry loves to talk about shifts. We talked about this earlier. That was old, this is new. That was hard, this is easy. It's not about shift, it's about using the inflection point, the new capability to extend what you already have to make it better. And that's one thing that I must compliment you, and the entire Nutanix organization. It's really empowering those applications as a catalog to be deployed, managed, and integrated in a new way, and to have seamless interoperability into the cloud. We see the AIX workload just having that same benefit for those businesses. And there are many, many 10's of thousands around the world that are critically dependent on every element of their daily operations and productivity of that operating platform. But to introduce that into that network effect as well. >> Speaker 1: Yeah. I think we're looking forward to how we bring the same cloud experience on AIX as well because as a company it keeps us honest when we don't scoff at legacy. We look at these applications the last 10, 15, 20 years and say, "Can we bring them into the new world as well?" >> Bob: Right. >> Speaker 1: That's what design is all about. >> Bob: Right. >> Speaker 1: That's what Apple did with musics. We'll take an old world thing and make it really new world. >> Bob: Right. >> Speaker 1: The way we consume things. >> Bob: That governance. The capability to help protect against the bad actors, the nefarious entropy players, as you will. That's what it's all about. That's really what it takes to do this for the enterprise. It's okay, and possibly easier to do it in smaller islands of containment, but when you think about bringing these class of capabilities into an enterprise, and really helping an organization drive both the flexibility and empowerment benefits of that, but really be able to depend upon it for international operations. You need that level of support. You need that level of capability. >> Speaker 1: Awesome. Thank you so much Bob. Really appreciate you coming. [crosstalk 00:42:14] Look forward to your [crosstalk 00:42:14]. >> Bob: Cheers. Thank you. >> Speaker 1: Thanks again for all of you. I know that people are sitting all the way up there as well, which is remarkable. I hope you can actually see some of the things that Sunil and the team will actually bring about, talk about live demos. We do real stuff here, which is truly live. I think one of the requests that I have is help us help you navigate the digital disruption that's upon you and your competitive landscape that's around you that's really creating that disruption. Thank you again for being here, and welcome again to Acropolis. >> Speaker 3: Ladies and gentlemen, please welcome Chief Product and Development Officer, Nutanix Sunil Potti. >> Sunil Potti: Okay, so I'm going to just jump right in because I know a bunch of you guys are here to see the product as well. We are a lot of demos lined up for you guys, and we'll try to mix in the slides, and the demos as well. Here's just an example of the things I always bring up in these conferences to look around, and say in the last few months, are we making progress in simplifying infrastructure? You guys have heard this again and again, this has been our mantra from the beginning, that the hotter things get, the more differentiated a company like Nutanix can be if we can make things simple, or keep things simple. Even though I like this a lot, we found something a little bit more interesting, I thought, by our European marketing team. If you guys need these tea bags, which you will need pretty soon. It's a new tagline for the company, not really. I thought it was apropos. But before I get into the product and the demos, to give you an idea. Every time I go to an event you find ways to memorialize the event. You meet people, you build relationships, you see something new. Last night, nothing to do with the product, I sat beside someone. It was a customer event. I had no idea who I was sitting beside. He was a speaker. How many of you guys know him, by the way? Sir Ranulph Fiennes. Few hands. Good for you. I had no idea who I was sitting beside. I said, "Oh, somebody called Sir. I should be respectful." It's kind of hard for me to be respectful, but I tried. He says, "No, I didn't do anything in the sense. My grandfather was knighted about 100 years ago because he was the governor of Antigua. And when he dies, his son becomes." And apparently Sir Ranulph's dad also died in the war, and so that's how he is a sir. But then I started looking it up because he's obviously getting ready to present. And the background for him is, in my opinion, even though the term goes he's the World's Greatest Living Explorer. I would have actually called it the World's Number One Stag, and I'll tell you why. Really, you should go look it up. So this guy, at the age of 21, gets admitted to Special Forces. If you're from the UK, this is as good as it gets, SAS. Six, seven years into it, he rebels, helps out his local partner because he doesn't like a movie who's building a dam inside this pretty village. And he goes and blows up a dam, and he's thrown out of that Special Forces. Obviously he's in demolitions. Goes all the way. This is the '60's, by the way. Remember he's 74 right now. The '60's he goes to Oman, all by himself, as the only guy, only white guy there. And then around the '70's, he starts truly exploring, truly exploring. And this is where he becomes really, really famous. You have to go see this in real life, when he sees these videos to really appreciate the impact of this guy. All by himself, he's gone across the world. He's actually gone across Antarctica. Now he tells me that Antarctica is the size of China and India put together, and he was prepared for -50 to 60 degrees, and obviously he got -130 degrees. Again, you have to see the videos, see his frostbite. Two of his fingers are cut off, by the way. He hacksawed them himself. True story. And then as he, obviously, aged, his body couldn't keep up with him, but his will kept up with him. So after a recent heart attack, he actually ran seven marathons. But most importantly, he was telling me this story, at 65 he wanted to do something different because his body was letting him down. He said, "Let me do something easy." So he climbed Mount Everest. My point being, what is this related to Nutanix? Is that if Nutanix is a company, without technology, allows to spend more time on life, then we've accomplished a piece of our vision. So keep that in mind. Keep that in mind. Now comes the boring part, which is the product. The why, what, how of Nutanix. Neeris talked about this. We have two acts in this company. Invisible Infrastructure was what we started off. You heard us talk about it. How did we do it? Using one-click technologies by converging infrastructure, computer storage, virtualization, et cetera, et cetera. What we are now about is about changing the game. Saying that just like we'd applicated what powers Google and Amazon inside the data center, could we now make them all invisible? Whether it be inside or outside, could we now make clouds invisible? Clouds could be made invisible by a new level of convergence, not about computer storage, but converging public and private, converging CAPEX and OPEX, converging consumption models. And there, beyond our core products, Acropolis and Prism, are these new products. As you know, we have this core thesis, right? The core thesis says what? Predictable workloads will stay inside the data center, elastic workloads will go outside, as long as the experience on both sides is the same. So if you can genuinely have a cloud-like experience delivered inside a data center, then that's the right a- >> Speaker 1: Genuinely have a cloud like experience developed inside the data center. And that's the right answer of predictable workloads. Absolutely the answer of elastic workloads, doesn't matter whether security or compliance. Eventually a public cloud will have a data center right beside your region, whether through local partner or a top three cloud partner. And you should use it as your public cloud of choice. And so, our goal is to ensure that those two worlds are converged. And that's what Calm does, and we'll talk about that. But at the same time, what we found in late 2015, we had a bunch of customers come to us and said "Look, I love this, I love the fact that you're going to converge public and private and all that good stuff. But I have these environments and these apps that I want to be delivered as a service but I want the same operational tooling. I don't want to have two different environments but I don't want to manage my data centers. Especially my secondary data centers, DR data centers." And that's why we created Xi, right? And you'll hear a lot more about this, obviously it's going to start off in the U.S but very rapidly launch in Europe, APJ globally in the next 9-12 months. And so we'll spend some quality time on those products as well today. So, from the journey that we're at, we're starting with the score cloud that essentially says "Look, your public and private needs to be the same" We call that the first instantiation of your cloud architectures and we're essentially as a company, want to build this enterprise cloud operating system as a fabric across public and private. But that's just the starting point. The starting point evolves to the score architecture that we believe that the cloud is being dispersed. Just like you have a public and a private cloud in the core data centers and so forth, you'll need a similar experience inside your remote office branch office, inside your DR data centers, inside your branches, and it won't stop there. It'll go all the way to the edge. All we're already seeing this right? Not just in the army where your forward operating bases in Afghanistan having a three note cluster sitting inside a tent. But we're seeing this in a variety of enterprise scenarios. And here's an example. So, here's a customer, global oil and gas company, has couple of primary data centers running Nutanix, uses GCP as a core public cloud platform, has a whole bunch of remote offices, but it also has this interesting new edge locations in the form of these small, medium, large size rigs. And today, they're in the process of building a next generation cloud architecture that's completely dispersed. They're using one node, coming out on version 5.5 with Nutanix. They're going to use two nodes, they're going to throw us three nods, multicultural architectures. Day one, they're going to centrally manage it using Prism, with one click upgrades, right? And then on top of that, they're also now provisioning using Calm, purpose built apps for the various locations. So, for example, there will be a re control app at the edge, there's an exploration data lag in Google and so forth. My point being that increasingly this architecture that we're talking about is happening in real time. It's no longer just an existing cellular civilization data center that's being replatformed to look like a private cloud and so forth, or a hybrid cloud. But the fact that you're going into this multi cloud era is getting excel bated, the more someone consumes AWL's GCP or any public cloud, the more they're excel bating their internal transformation to this multi cloud architecture. And so that's what we're going to talk about today, is this construct of ONE OS and ONE Click, and when you think about it, every company has a standard stack. So, this is the only slide you're going to see from me today that's a stack, okay? And if you look at the new release coming out, version 5.5, it's coming out imminently, easiest way to say it is that it's got a ton of functionality. We've jammed as much as we can onto one slide and then build a product basically, okay? But I would encourage you guys to check out the release, it's coming out shortly. And we can go into each and every feature here, we'd be spending a lot of time but the way that we look at building Nutanix products as many of you know, it is not feature at a time. It's experience at a time. And so, when you really look at Nutanix using a lateral view, and that's how we approach problems with our customers and partners. We think about it as a life cycle, all the way from learning to using, operating, and then getting support and experiences. And today, we're going to go through each of these stages with you. And who better to talk about it than our local version of an architect, Steven Poitras please come up on stage. I don't know where you are, Steven come on up. You tucked your shirt in? >> Speaker 2: Just for you guys today. >> Speaker 1: Okay. Alright. He's sort of putting on his weight. I know you used a couple of tight buckles there. But, okay so Steven so I know we're looking for the demo here. So, what we're going to do is, the first step most of you guys know this, is we've been quite successful with CE, it's been a great product. How many of you guys like CE? Come on. Alright. I know you had a hard time downloading it yesterday apparently, there's a bunch of guys had a hard time downloading it. But it's been a great way for us not just to get you guys to experience it, there's more than 25,000 downloads and so forth. But it's also a great way for us to see new features like IEME and so forth. So, keep an eye on CE because we're going to if anything, explode the way that we actually use as a way to get new features out in the next 12 months. Now, one thing beyond CE that we did, and this was something that we did about ... It took us about 12 months to get it out. While people were using CE to learn a lot, a lot of customers were actually getting into full blown competitive evals, right? Especially with hit CI being so popular and so forth. So, we came up with our own version called X-Ray. >> Speaker 2: Yup. >> Speaker 1: What does X-Ray do before we show it? >> Speaker 2: Yeah. Absolutely. So, if we think about back in the day we were really the only ACI platform out there on the market. Now there are a few others. So, to basically enable the customer to objectively test these, we came out with X-Ray. And rather than talking about the slide let's go ahead and take a look. Okay, I think it's ready. Perfect. So, here's our X-Ray user interface. And essentially what you do is you specify your targets. So, in this case we have a Nutanix 80150 as well as some of our competitors products which we've actually tested. Now we can see on the left hand side here we see a series of tests. So, what we do is we go through and specify certain workloads like OLTP workloads, database colocation, and while we do that we actually inject certain test cases or scenarios. So, this can be snapshot or component failures. Now one of the key things is having the ability to test these against each other. So, what we see here is we're actually taking a OLTP workload where we're running two virtual machines, and then we can see the IOPS OLTP VM's are actually performing here on the left hand side. Now as we're actually go through this test we perform a series of snapshots, which are identified by these red lines here. Now as you can see, the Nutanix platform, which is shown by this blue line, is purely consistent as we go through this test. However, our competitor's product actually degrades performance overtime as these snapshots are taken. >> Speaker 1: Gotcha. And some of these tests by the way are just not about failure or benchmarking, right? It's a variety of tests that we have that makes real life production workloads. So, every couple of months we actually look at our production workloads out there, subset those two cases and put it into X-Ray. So, X-Ray's one of those that has been more recently announced into the public. But it's already gotten a lot of update. I would strongly encourage you, even if you an existing Nutanix customer. It's a great way to keep us honest, it's a great way for you to actually expand your usage of Nutanix by putting a lot of these real life tests into production, and as and when you look at new alternatives as well, there'll be certain situations that we don't do as well and that's a great way to give us feedback on it. And so, X-Ray is there, the other one, which is more recent by the way is a fact that most of you has spent many days if not weeks, after you've chosen Nutanix, moving non-Nutanix workloads. I.e. VMware, on three tier architectures to Atrio Nutanix. And to do that, we took a hard look and came out with a new product called Xtract. >> Speaker 2: Yeah. So essentially if we think about what Nutanix has done for the data center really enables that iPhone like experience, really bringing it simplicity and intuitiveness to the data center. Now what we wanted to do is to provide that same experience for migrating existing workloads to us. So, with Xtract essentially what we've done is we've scanned your existing environment, we've created design spec, we handled the migration process ... >> Steven: ... environment, we create a design spec. We handle for the migration process as well as the cut over. Now, let's go ahead and take a look in our extract user interface here. What we can see is we have a source environment. In this case, this is a VC environment. This can be any VC, whether it's traditional three tier or hypherconverged. We also see our Nutanix target environments. Essentially, these are our AHV target clusters where we're going to be migrating the data and performing the cut over to you. >> Speaker 2: Gotcha. Steven: The first thing that we do here is we go ahead and create a new migration plan. Here, I'm just going to specify this as DB Wave 2. I'll click okay. What I'm doing here is I'm selecting my target Nutanix cluster, as well as my target Nutanix container. Once I'll do that, I'll click next. Now in this case, we actually like to do it big. We're actually going to migrate some production virtual machines over to this target environment. Here, I'm going to select a few windows instances, which are in our database cluster. I'll click next. At this point, essentially what's occurring is it's going through taking a look at these virtual machines as well as taking a look at the target environment. It takes a look at the resources to ensure that we actually have enough, an ample capacity to facilitate the workload. The next thing we'll do is we'll go ahead and type in our credentials here. This is actually going to be used for logging into the virtual machine. We can do a new device driver installation, as well as get any static IP configuration. Well specify our network mapping. Then from there, we'll click next. What we'll do is we'll actually save and start. This will go through create the migration plan. It'll do some analysis on these virtual machines to ensure that we can actually log in before we actually start migrating data. Here we have a migration, which has been in progress. We can see we have a few virtual machines, obviously some Linux, some Windows here. We've cut over a few. What we do to actually cut over these VMS, is go ahead select the VMS- Speaker 2: This is the actual task of actually doing the final stage of cut over. Steven: Yeah, exactly. That's one of the nice things. Essentially, we can migrate the data whenever we want. We actually hook into the VADP API's to do this. Then every 10 minutes, we send over a delta to sync the data. Speaker 2: Gotcha, gotcha. That's how one click migration can now be possible. This is something that if you guys haven't used this, this has been out in the wild, just for a month or so. Its been probably one of our bestselling, because it's free, bestselling features of the recent product release. I've had customers come to me and say, "Look, there are situations where its taken us weeks to move data." That is now minutes from the operator perspective. Forget where the director, or the VP, it's the line architecture and operator that really loves these tools, which is essentially the core of Nutanix. That's one of our core things, is to make sure that if we can keep the engineer and the architect truly happy, then everything else will be fine for us, right? That's extract. Then we have a lot of things, right? We've done the usual things, there's a tunnel functionality on day zero, day one, day two, kind of capabilities. Why don't we start with something around Prism Central, now that we can do one click PC installs? We can do PC scale outs, we can go from managing thousands of VMS, tens of thousands of VMS, while doing all the one click operations, right? Steven: Yep. Speaker 2: Why don't we take a quick look at what's new in Prism Central? Steven: Yep. Absolutely. Here, we can see our Prism element interface. As you mentioned, one of the key things we added here was the ability to deploy Prism Central very simply just with a few clicks. We'll actually go through a distributed PC scale of deployment here. Here, we're actually going to deploy, as this is a new instance. We're going to select our 5.5 version. In this case, we're going to deploy a scale out Prism Central cluster. Obviously, availability and up-time's very critical for us, as we're mainly distributed systems. In this case we're going to deploy a scale-out PC cluster. Here we'll select our number of PC virtual machines. Based upon the number of VMS, we can actually select our size of VM that we'd deploy. If we want to deploy 25K's report, we can do that as well. Speaker 2: Basically a thousand to tens of thousands of VM's are possible now. Steven: Yep. That's a nice thing is you can start small, and then scale out as necessary. We'll select our PC network. Go ahead and input our IP address. Now, we'll go to deploy. Now, here we can see it's actually kicked off the deployment, so it'll go provision these virtual machines to apply the configuration. In a few minutes, we'll be up and running. Speaker 2: Right. While Steven's doing that, one of the things that we've obviously invested in is a ton of making VM operations invisible. Now with Calm's, what we've done is to up level that abstraction. Two applications. At the end of the day, more and more ... when you go to AWS, when you go to GCP, you go to [inaudible 01:04:56], right? The level of abstractions now at an app level, it's cloud formations, and so forth. Essentially, what Calm's able to do is to give you this marketplace that you can go in and self-service [inaudible 01:05:05], create this internal cloud like environment for your end users, whether it be business owners, technology users to self-serve themselves. The process is pretty straightforward. You, as an operator, or an architect, or [inaudible 01:05:16] create these blueprints. Consumers within the enterprise, whether they be self-service users, whether they'll be end business users, are able to consume them for a simple marketplace, and deploy them on whether it be a private cloud using Nutanix, or public clouds using anything with public choices. Then, as a single frame of glass, as operators you're doing conversed operations, at an application centric level between [inaudible 01:05:41] across any of these clouds. It's this combination of producer, consumer, operator in a curated sense. Much like an iPhone with an app store. It's the core construct that we're trying to get with Calm to up level the abstraction interface across multiple clouds. Maybe we'll do a quick demo of this, and then get into the rest of the stuff, right? Steven: Sure. Let's check it out. Here we have our Prism Central user interface. We can see we have two Nutanix clusters, our cloudy04 as well as our Power8 cluster. One of the key things here that we've added is this apps tab. I'm clicking on this apps tab, we can see that we have a few [inaudible 01:06:19] solutions, we have a TensorFlow solution, a [inaudible 01:06:22] et cetera. The nice thing about this is, this is essentially a marketplace where vendors as well as developers could produce these blueprints for consumption by the public. Now, let's actually go ahead and deploy one of these blueprints. Here we have a HR employment engagement app. We can see we have three different tiers of services part of this. Speaker 2: You need a lot of engagement at HR, you know that. Okay, keep going. Steven: Then the next thing we'll do here is we'll go and click on. Based upon this, we'll specify our blueprint name, HR app. The nice thing when I'm deploying is I can actually put in back doors. We'll click clone. Now what we can see here is our blueprint editor. As a developer, I could actually go make modifications, or even as an in-user given the simple intuitive user interface. Speaker 2: This is the consumers side right here, but it's also the [inaudible 01:07:11]. Steven: Yep, absolutely. Yeah, if I wanted to make any modifications, I could select the tier, I could scale out the number of instances, I could modify the packages. Then to actually deploy, all I do is click launch, specify HR app, and click create. Speaker 2: Awesome. Again, this is coming in 5.5. There's one other feature, by the way, that is coming in 5.5 that's surrounding Calm, and Prism Pro, and everything else. That seems to be a much awaited feature for us. What was that? Steven: Yeah. Obviously when we think about multi-tenant, multi-cloud role based access control is a very critical piece of that. Obviously within the organization, we're going to have multiple business groups, multiple units. Our back's a very critical piece. Now, if we go over here to our projects, we can see in this scenario we just have a single project. What we've added is if you want to specify certain roles, in this case we're going to add our good friend John Doe. We can add them, it could be a user or group, but then we specify their role. We can give a developer the ability to edit and create these blueprints, or consumer the ability to actually provision based upon. Speaker 2: Gotcha. Basically in 5.5, you'll have role based access control now in Prism and Calm burned into that, that I believe it'll support custom role shortly after. Steven: Yep, okay. Speaker 2: Good stuff, good stuff. I think this is where the Nutanix guys are supposed to clap, by the way, so that the rest of the guys can clap. Steven: Thank you, thank you. Okay. What do we have? Speaker 2: We have day one stuff, obviously there's a ton of stuff that's coming in core data path capabilities that most of you guys use. One of the most popular things is synchronous replication, especially in Europe. Everybody wants to do [Metro 01:08:49] for whatever reason. But we've got something new, something even more enhanced than Metro, right? Steven: Yep. Speaker 2: Do you want to talk a little bit about it? Steven: Yeah, let's talk about it. If we think about what we had previously, we started out with a synchronous replication. This is essentially going to be your higher RPO. Then we moved into Metro cluster, which was RPO zero. Those are two ins of the gamete. What we did is we introduced new synchronous replication, which really gives you the best of both worlds where you have very, very decreased RPO's, but zero impact in line mainstream performance. Speaker 2: That's it. Let's show something. Steven: Yeah, yeah. Let's do it. Here, we're back at our Prism Element interface. We'll go over here. At this point, we provisioned our HR app, the next thing we need to do is to protect that data. Let's go here to protection domain. We'll create a new PD for our HR app. Speaker 2: You clearly love HR. Steven: Spent a lot of time there. Speaker 2: Yeah, yeah, yeah. Steven: Here, you can see we have our production lamp DBVM. We'll go ahead and protect that entity. We can see that's protected. The next thing we'll do is create a schedule. Now, what would you say would be a good schedule we should actually shoot for? Speaker 2: I don't know, 15 minutes? Steven: 15 minutes is not bad. But I ... Section 7 of 13 [01:00:00 - 01:10:04] Section 8 of 13 [01:10:00 - 01:20:04] (NOTE: speaker names may be different in each section) Speaker 1: ... 15 minutes. Speaker 2: 15 minutes is not bad, but I think the people here deserve much better than that, so I say let's shoot for ... what about 15 seconds? Speaker 1: Yeah. They definitely need a bathroom break, so let's do 15 seconds. Speaker 2: Alright, let's do 15 seconds. Speaker 1: Okay, sounds good. Speaker 2: K. Then we'll select our retention policy and remote cluster replicate to you, which in this case is wedge. And we'll go ahead and create the schedule here. Now at this point we can see our protection domain. Let's go ahead and look at our entities. We can see our database virtual machine. We can see our 15 second schedule, our local snapshots, as well as we'll start seeing our remote snapshots. Now essentially what occurs is we take two very quick snapshots to essentially see the initial data, and then based upon that then we'll start taking our continuous 15 second snaps. Speaker 1: 15 seconds snaps, and obviously near sync has less of impact than synchronous, right? From an architectural perspective. Speaker 2: Yeah, and that's a nice thing is essentially within the cluster it's truly pure synchronous, but externally it's just a lagged a-sync. Speaker 1: Gotcha. So there you see some 15 second snapshots. So near sync is also built into five-five, it's a long-awaited feature. So then, when we expand in the rest of capabilities, I would say, operations. There's a lot of you guys obviously, have started using Prism Pro. Okay, okay, you can clap. You can clap. It's okay. It was a lot of work, by the way, by the core data pad team, it was a lot of time. So Prism Pro ... I don't know if you guys know this, Prism Central now run from zero percent to more than 50 percent attach on install base, within 18 months. And normally that's a sign of true usage, and true value being supported. And so, many things are new in five-five out on Prism Pro starting with the fact that you can do data[inaudible 01:11:49] base lining, alerting, so that you're not capturing a ton of false positives and tons of alerts. We go beyond that, because we have this core machine-learning technology power, we call it cross fit. And, what we've done is we've used that as a foundation now for pretty much all kinds of operations benefits such as auto RCA, where you're able to actually map to particular [inaudible 01:12:12] crosses back to who's actually causing it whether it's the network, a computer, and so forth. But then the last thing that we've also done in five-five now that's quite different shading, is the fact that you can now have a lot of these one-click recommendations and remediations, such as right-sizing, the fact that you can actually move around [inaudible 01:12:28] VMs, constrained VMs, and so forth. So, I now we've packed a lot of functionality in Prism Pro, so why don't we spend a couple of minutes quickly giving a sneak peak into a few of those things. Speaker 2: Yep, definitely. So here we're back at our Prism Central interface and one of the things we've added here, if we take a look at one of our clusters, we can see we have this new anomalies portion here. So, let's go ahead and select that and hop into this. Now let's click on one of these anomaly events. Now, essentially what the system does is we monitor all the entities and everything running within the system, and then based upon that, we can actually determine what we expect the band of values for these metrics to be. So in this scenario, we can see we have a CPU usage anomaly event. So, normal time, we expect this to be right around 86 to 100 percent utilization, but at this point we can see this is drastically dropped from 99 percent to near zero. So, this might be a point as an administrator that I want to go check out this virtual machine, ensure that certain services and applications are still up and running. Speaker 1: Gotcha, and then also it changes the baseline based on- Speaker 2: Yep. Yeah, so essentially we apply machine-learning techniques to this, so the system will dynamically adjust based upon the value adjustment. Speaker 1: Gotcha. What else? Speaker 2: Yep. So the other thing here that we mentioned was capacity planning. So if we go over here, we can take a look at our runway. So in this scenario we have about 30 days worth of runway, which is most constrained by memory. Now, obviously, more nodes is all good for everyone, but we also want to ensure that you get the maximum value on your investment. So here we can actually see a few recommendations. We have 11 overprovision virtual machines. These are essentially VMs which have more resources than are necessary. As well as 19 inactives, so these are dead VMs essentially that haven't been powered on and not utilized. We can also see we have six constrained, as well as one bully. So, constrained VMs are essentially VMs which are requesting more resources than they actually have access to. This could be running at 100 percent CPU utilization, or 100 percent memory, or storage utilization. So we could actually go in and modify these. Speaker 1: Gotcha. So these are all part of the auto remediation capabilities that are now possible? Speaker 2: Yeah. Speaker 1: What else, do you want to take reporting? Speaker 2: Yeah. Yeah, so I know reporting is a very big thing, so if we think about it, we can't rely on an administrator to constantly go into Prism. We need to provide some mechanism to allow them to get emailed reports. So what we've done is we actually autogenerate reports which can be sent via email. So we'll go ahead and add one of these sample reports which was created today. And here we can actually get specific detailed information about our cluster without actually having to go into Prism to get this. Speaker 1: And you can customize these reports and all? Speaker 2: Yep. Yeah, if we hop over here and click on our new report, we can actually see a list of views we could add to these reports, and we can mix and match and customize as needed. Speaker 1: Yeah, so that's the operational side. Now we also have new services like AFS which has been quite popular with many of you folks. We've had hundreds of customers already on it live with SMB functionality. You want to show a couple of things that is new in five-five? Speaker 2: Yeah. Yep, definitely. So ... let's wait for my screen here. So one of the key things is if we looked at that runway tab, what we saw is we had over a year's worth of storage capacity. So, what we saw is customers had the requirement for filers, they had some excess storage, so why not actually build a software featured natively into the cluster. And that's essentially what we've done with AFS. So here we can see we have our AFS cluster, and one of the key things is the ability to scale. So, this particular cluster has around 3.1 or 3.16 billion files, which are running on this AFS cluster, as well as around 3,000 active concurrent sessions. Speaker 1: So basically thousands of concurrent sessions with billions of files? Speaker 2: Yeah, and the nice thing with this is this is actually only a four node Nutanix cluster, so as the cluster actually scales, these numbers will actually scale linearly as a function of those nodes. Speaker 1: Gotcha, gotcha. There's got to be one more bullet here on this slide so what's it about? Speaker 2: Yeah so, obviously the initial use case was realistically for home folders as well as user profiles. That was a good start, but it wasn't the only thing. So what we've done is we've actually also introduced important and upcoming release of NFS. So now you can now use NFS to also interface with our [crosstalk 01:16:44]. Speaker 1: NFS coming soon with AFS by the way, it's a big deal. Big deal. So one last thing obviously, as you go operationalize it, we've talked a lot of things on features and functions but one of the cool things that's always been seminal to this company is the fact that we all for really good customer service and support experience. Right now a lot of it is around the product, the people, the support guys, and so forth. So fundamentally to the product we have found ways using Pulse to instrument everything. With Pulse HD that has been allowed for a little bit longer now. We have fine grain [inaudible 01:17:20] around everything that's being done, so if you turn on this functionality you get a lot of information now that we built, we've used when you make a phone call, or an email, and so forth. There's a ton of context now available to support you guys. What we've now done is taken that and are now externalizing it for your own consumption, so that you don't have to necessarily call support. You can log in, look at your entire profile across your own alerts, your own advisories, your own recommendations. You can look at collective intelligence now that's coming soon which is the fact that look, here are 50 other customers just like you. These are the kinds of customers that are using workloads like you, what are their configuration profiles? Through this centralized customer insights portal you going to get a lot more insight, not just about your own operations, but also how everybody else is also using it. So let's take a quick look at that upcoming functionality. Speaker 2: Yep. Absolutely. So this is our customer 360 portal, so as [inaudible 01:18:18] mentioned, as a customer I can actually log in here, I can get a high-level overview of my existing environment, my cases, the status of those cases, as well as any relevant announcements. So, here based upon my cluster version, if there's any updates which are available, I can then see that here immediately. And then one of the other things that we've added here is this insights page. So essentially this is information that previously support would leverage to essentially proactively look out to the cluster, but now we've exposed this to you as the customer. So, clicking on this insights tab we can see an overview of our environment, in this case we have three Nutanix clusters, right around 550 virtual machines, and over here what's critical is we can actually see our cases. And one of the nice things about this is these area all autogenerated by the cluster itself, so no human interaction, no manual intervention was required to actually create these alerts. The cluster itself will actually facilitate that, send it over to support, and then support can get back out to you automatically. Speaker 1: K, so look for customer insights coming soon. And obviously that's the full life cycle. One cool thing though that's always been unique to Nutanix was the fact that we had [inaudible 01:19:28] security from day one built-in. And [inaudible 01:19:31] chunk of functionality coming in five-five just around this, because every release we try to insert more and more security capabilities, and the first one is around data. What are we doing? Speaker 2: Yeah, absolutely. So previously we had support for data at rest encryption, but this did have the requirement to leverage self-encrypting drives. These can be very expensive, so what we've done, typical to our fashion is we've actually built this in natively via software. So, here within Prism Element, I can go to data at rest encryption, and then I can go and edit this configuration here. Section 8 of 13 [01:10:00 - 01:20:04] Section 9 of 13 [01:20:00 - 01:30:04] (NOTE: speaker names may be different in each section) Steve: Encryption and then I can go and edit this configuration here. From here I could add my CSR's. I can specify KMS server and leverage native software base encryption without the requirement of SED's. Sunil: Awesome. So data address encryption [inaudible 01:20:15] coming soon, five five. Now data security is only one element, the other element was around network security obviously. We've always had this request about what are we doing about networking, what are we doing about network, and our philosophy has always been simple and clear, right. It is that the problem in networking is not the data plan. Problem in networking is the control plan. As in, if a packing loss happens to the top of an ax switch, what do we do? If there's a misconfigured board, what do we do? So we've invested a lot in full blown new network visualization that we'll show you a preview of that's all new in five five, but then once you can visualize you can take action, so you can actually using our netscape API's now in five five. You can optovision re lands on the switch, you can update reps on your load balancing pools. You can update obviously rules on your firewall. And then we've taken that to the next level, which is beyond all that, just let you go to AWS right now, what do you do? You take 100 VM's, you put it in an AWS security group, boom. That's how you get micro segmentation. You don't need to buy expensive products, you don't need to virtualize your network to get micro segmentation. That's what we're doing with five five, is built in one click micro segmentation. That's part of the core product, so why don't we just quickly show that. Okay? Steve: Yeah, let's take a look. So if we think about where we've been so far, we've done the comparison test, we've done a migration over to a Nutanix. We've deployed our new HR app. We've protected it's data, now we need to protect the network's. So one of the things you'll see that's new here is this security policies. What we'll do is we'll actually go ahead and create a new security policy and we'll just say this is HR security policy. We'll specify the application type, which in this case is HR. Sunil: HR of course. Steve: Yep and we can see our app instance is automatically populated, so based upon the number of running instances of that blueprint, that would populate that drop-down. Now we'll go ahead and click next here and what we can see in the middle is essentially those three tiers that composed that app blueprint. Now one of the important things is actually figuring out what's trying to communicate with this within my existing environment. So if I take a look over here on my left hand side, I can essentially see a few things. I can see a Ha Proxy load balancer is trying to communicate with my app here, that's all good. I want to allow that. I can see some sort of monitoring service is trying to communicate with all three of the tiers. That's good as well. Now the last thing I can see here is this IP address which is trying to access my database. Now, that's not designed and that's not supposed to happen, so what we'll do is we'll actually take a look and see what it's doing. Now hopping over to this database virtual machine or the hack VM, what we can see is it's trying to perform a brute force log in attempt to my MySQL database. This is not good. We can see obviously it can connect on the socket, however, it hasn't guessed the right password. In order to lock that down, we'll go back to our policies here and we're going to click deny. Once we've done that, we'll click next and now we'll go to Apply Now. Now we can see our newly created security policy and if we hop back over to this VM, we can now see it's actually timing out and what this means is that it's not able to communicate with that database virtual machine due to micro segmentation actively blocking that request. Sunil: Gotcha and when you go back to the Prism site, essentially what we're saying now is, it's as simple as that, to set up micro segmentation now inside your existing clusters. So that's one click micro segmentation, right. Good stuff. One other thing before we let Steve walk off the stage and then go to the bathroom, but is you guys know Steve, you know he spends a lot time in the gym, you do. Right. He and I share cubes right beside each other by the way just if you ever come to San Jose Nutanix corporate headquarters, you're always welcome. Come to the fourth floor and you'll see Steve and Sunil beside each other, most of the time I'm not in the cube, most of the time he's in the gym. If you go to his cube, you'll see all kinds of stuff. Okay. It's true, it's true, but the reason why I brought this up, was Steve recently became a father, his first kid. Oh by the way this is, clicker, this is how his cube looks like by the way but he left his wife and his new born kid to come over here to show us a demo, so give him a round of applause. Thank you, sir. Steve: Cool, thanks, Sunil. That was fun. Sunil: Thank you. Okay, so lots of good stuff. Please try out five five, give us feedback as you always do. A lot of sessions, a lot of details, have fun hopefully for the rest of the day. To talk about how their using Nutanix, you know here's one of our favorite customers and partners. He normally comes with sunglasses, I've asked him that I have to be the best looking guy on stage in my keynotes, so he's going to try to reduce his charm a little bit. Please come on up, Alessandro. Thank you. Alessandro R.: I'm delighted to be here, thank you so much. Sunil: Maybe we can stand here, tell us a little bit about Leonardo. Alessandro R.: About Leonardo, Leonardo is a key actor of the aerospace defense and security systems. Helicopters, aircraft, the fancy systems, the fancy electronics, weapons unfortunately, but it's also a global actor in high technology field. The security information systems division that is the division I belong to, 3,000 people located in Italy and in UK and there's several other countries in Europe and the U.S. $1 billion dollar of revenue. It has a long a deep experience in information technology, communications, automation, logical and physical security, so we have quite a long experience to expand. I'm in charge of the security infrastructure business side. That is devoted to designing, delivering, managing, secure infrastructures services and secure by design solutions and platforms. Sunil: Gotcha. Alessandro R.: That is. Sunil: Gotcha. Some of your focus obviously in recent times has been delivering secure cloud services obviously. Alessandro R.: Yeah, obviously. Sunil: Versus traditional infrastructure, right. How did Nutanix help you in some of that? Alessandro R.: I can tell something about our recent experience about that. At the end of two thousand ... well, not so recent. Sunil: Yeah, yeah. Alessandro R.: At the end of 2014, we realized and understood that we had to move a step forward, a big step and a fast step, otherwise we would drown. At that time, our newly appointed CEO confirmed that the IT would be a core business to Leonardo and had to be developed and grow. So we decided to start our digital transformation journey and decided to do it in a structured and organized way. Having clear in mind our targets. We launched two programs. One analysis program and one deployments programs that were essentially transformation programs. We had to renew ourselves in terms of service models, in terms of organization, in terms of skills to invest upon and in terms of technologies to adopt. We were stacking a certification of technologies that adopted, companies merged in the years before and we have to move forward and to rationalize all these things. So we spent a lot of time analyzing, comparing technologies, and evaluating what would fit to us. We had two main targets. The first one to consolidate and centralize the huge amount of services and infrastructure that were spread over 52 data centers in Italy, for Leonardo itself. The second one, to update our service catalog with a bunch of cloud services, so we decided to update our data centers. One of our building block of our new data center architecture was Nutanix. We evaluated a lot, we had spent a lot of time in analysis, so that wasn't a bet, but you are quite pioneers at those times. Sunil: Yeah, you took a lot of risk right as an Italian company- Alessandro R.: At this time, my colleague used to say, "Hey, Alessandro, think it over, remember that not a CEO has ever been fired for having chose IBM." I apologize, Bob, but at that time, when Nutanix didn't run on [inaudible 01:29:27]. We have still a good bunch of [inaudible 01:29:31] in our data center, so that will be the chance to ... Audience Member: [inaudible 01:29:37] Alessandro R.: So much you must [inaudible 01:29:37] what you announced it. Sunil: So you took a risk and you got into it. Alessandro R.: Yes, we got into, we are very satisfied with the results we have reached. Sunil: Gotcha. Alessandro R.: Most of the targets we expected to fulfill have come and so we are satisfied, but that doesn't mean that we won't go on asking you a big discount ... Sunil: Sure, sure, sure, sure. Alessandro R.: On price list. Sunil: Sure, sure, so what's next in terms of I know there are some interesting stuff that you're thinking. Alessandro R.: The next- Section 9 of 13 [01:20:00 - 01:30:04] Section 10 of 13 [01:30:00 - 01:40:04] (NOTE: speaker names may be different in each section) Speaker 1: So what's next, in terms of I know you have some interesting stuff that you're thinking of. Speaker 2: The next, we have to move forward obviously. The name Leonardo is inspired to Leonardo da Vinci, it was a guy that in terms of innovation and technology innovation had some good ideas. And so, I think, that Leonardo with Nutanix could go on in following an innovation target and following really mutual ... Speaker 1: Partnership. Speaker 2: Useful partnership, yes. We surely want to investigate the micro segmentation technologies you showed a minute ago because we have some looking, particularly by the economical point of view ... Speaker 1: Yeah, the costs and expenses. Speaker 2: And we have to give an alternative to the technology we are using. We want to use more intensively AHV, again as an alternative solution we are using. We are selecting a couple of services, a couple of quite big projects to build using AHV talking of Calm we are very eager to understand the announcement that they are going to show to all of us because the solution we are currently using is quite[crosstalk 01:31:30] Speaker 1: Complicated. Speaker 2: Complicated, yeah. To move a step of automation to elaborate and implement[inaudible 01:31:36] you spend 500 hours of manual activities that's nonsense so ... Speaker 1: Manual automation. Speaker 2: (laughs) Yes, and in the end we are very interested also in the prism features, mostly the new features that you ... Speaker 1: Talked about. Speaker 2: You showed yesterday in the preview because one bit of benefit that we received from the solution in the operations field means a bit plus, plus to our customer and a distinctive plus to our customs so we are very interested in that ... Speaker 1: Gotcha, gotcha. Thanks for taking the risk, thanks for being a customer and partner. Speaker 2: It has been a pleasure. Speaker 1: Appreciate it. Speaker 2: Bless you, bless you. Speaker 1: Thank you. So, you know obviously one OS, one click was one of our core things, as you can see the tagline doesn't stop there, it also says "any cloud". So, that's the rest of the presentation right now it's about; what are we doing, to now fulfill on that mission of one OS, one cloud, one click with one support experience across any cloud right? And there you know, we talked about Calm. Calm is not only just an operational experience for your private cloud but as you can see it's a one-click experience where you can actually up level your apps, set up blueprints, put SLA's and policies, push them down to either your AWS, GCP all your [inaudible 01:33:00] environments and then on day one while you can do one click provisioning, day two and so forth you will see new and new capabilities such as, one-click migration and mobility seeping into the product. Because, that's the end game for Calm, is to actually be your cloud autonomy platform right? So, you can choose the right cloud for the right workload. And talk about how they're building a multi cloud architecture using Nutanix and partnership a great pleasure to introduce my other good Italian friend Daniele, come up on stage please. From Telecom Italia Sparkle. How are you sir? Daniele: Not too bad thank you. Speaker 1: You want an espresso, cappuccino? Daniele: No, no later. Speaker 1: You all good? Okay, tell us a little about Sparkle. Daniele: Yeah, Sparkle is a fully owned subsidy of Telecom Italia group. Speaker 1: Mm-hmm (affirmative) Daniele: Spinned off in 2003 with the mission to develop the wholesale and multinational corporate and enterprise business abroad. Huge network, as you can see, hundreds of thousands of kilometers of fiber optics spread between; south east Asia to Europe to the U.S. Most of it proprietary part of it realized on some running cables. Part of them proprietary part of them bilateral part of them[inaudible 01:34:21] with other operators. 37 countries in which we have offices in the world, 700 employees, lean and clean company ... Speaker 1: Wow, just 700 employees for all of this. Daniele: Yep, 1.4 billion revenues per year more or less. Speaker 1: Wow, are you a public company? Daniele: No, fully owned by TIM so far. Speaker 1: So, what is your experience with Nutanix so far? Daniele: Well, in a way similar to what Alessandro was describing. To operate such a huge network as you can see before, and to keep on bringing revenues for the wholesale market, while trying to turn the bar toward the enterprise in a serious way. Couple of years ago the management team realized that we had to go through a serious transformation, not just technological but in terms of the way we build the services to our customers. In terms of how we let our customer feel the Sparkle experience. So, we are moving towards cloud but we are moving towards cloud with connectivity attached to it because it's in our cord as a provider of Telecom services. The paradigm that is driving today is the on-demand, is the dynamic and in order to get these things we need to move to software. Most of the network must become invisible as the Nutanix way. So, we decided instead of creating patchworks onto our existing systems, infrastructure, OSS, BSS and network systems, to build a new data center from scratch. And the paradigm being this new data center, the mantra was; everything is software designed, everything must be easy to manage, performance capacity planning, everything must be predictable and everything to be managed by few people. Nutanix is at the moment the baseline of this data center for what concern, let's say all the new networking tools, meaning as the end controllers that are taking care of automation and programmability of the network. Lifecycle service orchestrator, network orchestrator, cloud automation and brokerage platform and everything at the moment runs on AHV because we are forcing our vendors to certify their application on AHV. The only stack that is not at the moment AHV based is on a specific cloud platform because there we were really looking for the multi[inaudible 01:37:05]things that you are announcing today. So, we hope to do the migration as soon as possible. Speaker 1: Gotcha, gotcha. And then looking forward you're going to build out some more data center space, expose these services Daniele: Yeah. Speaker 1: For the customers as well as your internal[crosstalk 01:37:21] Daniele: Yeah, basically yes for sure we are going to consolidate, to invest more in the data centers in the markets on where we are leader. Italy, Turkey and Greece we are big data centers for [inaudible 01:37:33] and cloud, but we believe that the cloud with all the issues discussed this morning by Diraj, that our locality, customer proximity ... we think as a global player having more than 120 pops all over the world, which becomes more than 1000 in partnerships, that the pop can easily be transformed in a data center, so that we want to push the customer experience of what we develop in our main data centers closer to them. So, that we can combine traditional infrastructure as a service with the new connectivity services every single[inaudible 01:38:18] possibly everything running. Speaker 1: I mean, it makes sense, I mean I think essentially in some ways to summarize it's the example of an edge cloud where you're pushing a micro-cloud closer to the customers edge. Daniele: Absolutely. Speaker 1: Great stuff man, thank you so much, thank you so much. Daniele: Pleasure, pleasure. Thank you. Speaker 1: So, you know a couple of other things before we get in the next demo is the fact that in addition to Calm from multi-cloud management we have Zai, we talked about for extended enterprise capabilities and something for you guys to quickly understand why we have done this. In a very simple way is if you think about your enterprise data center, clearly you have a bunch of apps there, a bunch of public clouds and when you look at the paradigm you currently deploy traditional apps, we call them mode one apps, SAP, Exchange and so forth on your enterprise. Then you have next generation apps whether it be [inaudible 01:39:11] space, whether it be Doob or whatever you want to call it, lets call them mode two apps right? And when you look at these two types of apps, which are the predominant set, most enterprises have a combination of mode one and mode two apps, most public clouds primarily are focused, initially these days on mode two apps right? And when people talk about app mobility, when people talk about cloud migration, they talk about lift and shift, forklift [inaudible 01:39:41]. And that's a hard problem I mean, it's happening but it's a hard problem and ends up that its just not a one time thing. Once you've forklift, once you move you have different tooling, different operation support experience, different stacks. What if for some of your applications that mattered ... Section 10 of 13 [01:30:00 - 01:40:04] Section 11 of 13 [01:40:00 - 01:50:04] (NOTE: speaker names may be different in each section) Speaker 1: What if, for some of your applications that matter to you, that are your core enterprise apps that you can retain the same toolimg, the same operational experience and so forth. And that is what we achieve to do with Xi. It is truly making hybrid invisible, which is a next act for this company. It'll take us a few years to really fulfill the vision here, but the idea here is that you shouldn't think about public cloud as a different silo. You should think of it as an extension of your enterprise data centers. And for any services such as DR, whether it would be dev test, whether it be back-up, and so-forth. You can use the same tooling, same experience, get a public cloud-like capability without lift and shift, right? So it's making this lift and shift invisible by, soft of, homogenizing the data plan, the network plan, the control plan is what we really want to do with Xi. Okay? And we'll show you some more details here. But the simplest way to understand this is, think of it as the iPhone, right? D has mentioned this a little bit. This is how we built this experience. Views IOS as the core, IP, we wrap it up with a great package called the iPhone. But then, a few years into the iPhone era, came iTunes and iCloud. There's no apps, per se. That's fused into IOS. And similarly, think about Xi that way. The more you move VMs, into an internet-x environment, stuff like DR comes burnt into the fabric. And to give us a sneak peek into a bunch of the com and Xi cable days, let me bring back Binny who's always a popular guys on stage. Come on up, Binny. I'd be surprised in Binny untucked his shirt. He's always tucking in his shirt. Binny Gill: Okay, yeah. Let's go. Speaker 1: So first thing is com. And to show how we can actually deploy apps, not just across private and public clouds, but across multiple public clouds as well. Right? Binny Gill: Yeah, basically, you know com is about simplifying the disparity between various public clouds out there. So it's very important for us to be able to take one application blueprint and then quickly deploy in whatever cloud of your choice. Without understanding how one cloud is different. Speaker 1: Yeah, that's the goal. Binny Gill: So here, if you can see, I have market list. And by the way, this market list is a great partner community interest. And every single sort of apps come up here. Let me take a sample app here, Hadoop. And click launch. And now where do you want me to deploy? Speaker 1: Let's start at GCP. Binny Gill: GCP, okay. So I click on GCP, and let me give it a name. Hadoop. GCP. Say 30, right. Clear. So this is one click deployment of anything from our marketplace on to a cloud of your choice. Right now, what the system is doing, is taking the intent-filled description of what the application should look like. Not just the infrastructure level but also within the merchant machines. And it's creating a set of work flows that it needs to go deploy. So as you can see, while we were talking, it's loading the application. Making sure that the provisioning workflows are all set up. Speaker 1: And so this is actually, in real time it's actually extracting out some of the GCP requirements. It's actually talking to GCP. Setting up the constructs so that we can actually push it up on the GCP personally. Binny Gill: Right. So it takes a couple of minutes. It'll provision. Let me go back and show you. Say you worked with deploying AWS. So you Hadoop. Hit address. And that's it. So again, the same work flow. Speaker 1: Same process, I see. Binny Gill: It's going to now deploy in AWS. Speaker 1: See one of the keys things is that we actually extracted out all the isms of each of these clouds into this logical substrate. Binny Gill: Yep. Speaker 1: That you can now piggy-back off of. Binny Gill: Absolutely. And it makes it extremely simple for the average consumer. And you know we like more cloud support here over time. Speaker 1: Sounds good. Binny Gill: Now let me go back and show you an app that I had already deployed. Now 13 days ago. It's on GCP. And essentially what I want to show you is what is the view of the application. Firstly, it shows you the cost summary. Hourly, daily, and how the cost is going to look like. The other is how you manage it. So you know one click ways of upgrading, scaling out, starting, deleting, and so on. Speaker 1: So common actions, but independent of the type of clouds. Binny Gill: Independent. And also you can act with these actions over time. Right? Then services. It's learning two services, Hadoop slave and Hadoop master. Hadoop slave runs fast right now. And auditing. It shows you what are the important actions you've taken on this app. Not just, for example, on the IS front. This is, you know how the VMs were created. But also if you scroll down, you know how the application was deployed and brought up. You know the slaves have to discover each other, and so on. Speaker 1: Yeah got you. So find game invisibility into whatever you were doing with clouds because that's been one of the complaints in general. Is that the cloud abstractions have been pretty high level. Binny Gill: Yeah. Speaker 1: Yeah. Binny Gill: Yeah. So that's how we make the differences between the public clouds. All go away for the Indias of ... Speaker 1: Got you. So why don't we now give folks ... Now a lot of this stuff is coming in five, five so you'll see that pretty soon. You'll get your hands around it with AWS and tree support and so forth. What we wanted to show you was emerging alpha version that is being baked. So is a real production code for Xi. And why don't we just jump right in to it. Because we're running short of time. Binny Gill: Yep. Speaker 1: Give folks a flavor for what the production level code is already being baked around. Binny Gill: Right. So the idea of the design is make sure it's not ... the public cloud is no longer any different from your private cloud. It's a true seamless extension of your private cloud. Here I have my test environment. As you can see I'm running the HR app. It has the DB tier and the Web tier. Yeah. Alright? And the DB tier is running Oracle DB. Employee payroll is the Web tier. And if you look at the availability zones that I have, this is my data center. Now I want to protect this application, right? From disaster. What do I do? I need another data center. Speaker 1: Sure. Binny Gill: Right? With Xi, what we are doing is ... You go here and click on Xi Cloud Services. Speaker 1: And essentially as the slide says, you are adding AZs with one click. Binny Gill: Yeps so this is what I'm going to do. Essentially, you log in using your existing my.nutanix.com credentials. So here I'm going to use my guest credentials and log in. Now while I'm logging in what's happening is we are creating a seamless network between the two sides. And then making the Xi cloud availability zone appear. As if it was my own. Right? Speaker 1: Gotcha. Binny Gill: So in a couple of seconds what you'll notice this list is here now I don't have just one availability zone, but another one appears. Speaker 1: So you have essentially, real time now, paid a one data center doing an availability zone. Binny Gill: Yep. Speaker 1: Cool. Okay. Let's see what else we can do. Binny Gill: So now you think about VR setup. Now I'm armed with another data center, let's do DR Center. Now DR set-up is going to be extremely simple. Speaker 1: Okay but it's also based because on the fact that it is the same stack on both sides. Right? Binny Gill: It's the same stack on both sides. We have a secure network lane connecting the two sides, on top of the secure network plane. Now data can flow back and forth. So now applications can go back and forth, securely. Speaker 1: Gotcha, okay. Let's look at one-click DR. Binny Gill: So for one-click DR set-up. A couple of things we need to know. One is a protection rule. This is the RPO, where does it apply to? Right? And the connection of the replication. The other one is recovery plans, in case disaster happens. You know, how do I bring up my machines and application work-order and so on. So let me first show you, Protection Rule. Right? So here's the protection rule. I'll create one right now. Let me call it Platinum. Alright, and source is my own data center. Destination, you know Xi appears now. Recovery point objective, so maybe in a one hour these snapshots going to the public cloud. I want to retain three in the public side, three locally. And now I select what are the entities that I want to protect. Now instead of giving VMs my name, what I can do is app type employee payroll, app type article database. It covers both the categories of the application tiers that I have. And save. Speaker 1: So one of the things here, by the way I don't know if you guys have noticed this, more and more of Nutanix's constructs are being eliminated to become app-centric. Of course is VM centric. And essentially what that allows one to do is to create that as the new service-level API/abstraction. So that under the cover over a period of time, you may be VMs today, maybe containers tomorrow. Or functions, the day after. Binny Gill: Yep. What I just did was all that needs to be done to set up replication from your own data center to Xi. So we started off with no data center to actually replication happening. Speaker 1: Gotcha. Binny Gill: Okay? Speaker 1: No, no. You want to set up some recovery plans? Binny Gill: Yeah so now set up recovery plan. Recovery plans are going to be extremely simple. You select a bunch of VMs or apps, and then there you can say what are the scripts you want to run. What order in which you want to boot things. And you know, you can set up access these things with one click monthly or weekly and so on. Speaker 1: Gotcha. And that sets up the IPs as well as subnets and everything. Binny Gill: So you have the option. You can maintain the same IPs on frame as the move to Xi. Or you can make them- Speaker 1: Remember, you can maintain your own IPs when you actually use the Xi service. There was a lot of things getting done to actually accommodate that capability. Binny Gill: Yeah. Speaker 1: So let's take a look at some of- Binny Gill: You know, the same thing as VPC, for example. Speaker 1: Yeah. Binny Gill: You need to possess on Xi. So, let's create a recovery plan. A recovery plan you select the destination. Where does the recovery happen. Now, after that Section 11 of 13 [01:40:00 - 01:50:04] Section 12 of 13 [01:50:00 - 02:00:04] (NOTE: speaker names may be different in each section) Speaker 1: ... does the recovery happen. Now, after that you have to think of what is the runbook that you want to run when disaster happens, right? So you're preparing for that, so let me call "HR App Recovery." The next thing is the first stage. We're doing the first stage, let me add some entities by categories. I want to bring up my database first, right? Let's click on the database and that's it. Speaker 2: So essentially, you're building the script now. Speaker 1: Building the script- Speaker 2: ... on the [inaudible 01:50:30] Speaker 1: ... but in a visual way. It's simple for folks to understand. You can add custom script, add delay and so on. Let me add another stage and this stage is about bringing up the web tier after the database is up. Speaker 2: So basically, bring up the database first, then bring up the web tier, et cetera, et cetera, right? Speaker 1: That's it. I've created a recovery plan. I mean usually it's complicated stuff, but we made it extremely simple. Now if you click on "Recovery Points," these are snapshots. Snapshots of your applications. As you can see, already the system has taken three snapshots in response to the protection rule that we had created just a couple minutes ago. And these are now being seeded to Xi data centers. Of course this takes time for seeding, so what I have is a setup already and that's the production environment. I'll cut over to that. This is my production environment. Click "Explore," now you see the same application running in production and I have a few other VMs that are not protected. Let's go to "Recovery Points." It has been running for sometime, these recover points are there and they have been replicated to Xi. Speaker 2: So let's do the failover then. Speaker 1: Yeah, so to failover, you'll have to go to Xi so let me login to Xi. This time I'll use my production account for logging into Xi. I'm logging in. The first thing that you'll see in Xi is a dashboard that gives you a quick summary of what your DR testing has been so far, if there are any issues with the replication that you have and most importantly the monthly charges. So right now I've spent with my own credit card about close to 1,000 bucks. You'll have to refund it quickly. Speaker 2: It depends. If the- Speaker 1: If this works- Speaker 2: IF the demo works. Speaker 1: Yeah, if it works, okay. As you see, there are no VMs right now here. If I go to the recovery points, they are there. I can click on the recovery plan that I had created and let's see how hard it's going to be. I click "Failover." It says three entities that, based on the snapshots, it knows that it can recovery from source to destination, which is Xi. And one click for the failover. Now we'll see what happens. Speaker 2: So this is essentially failing over my production now. Speaker 1: Failing over your production now. [crosstalk 01:52:53] If you click on the "HR App Recovery," here you see now it started the recovery plan. The simple recovery plan that we had created, it actually gets converted to a series of tasks that the system has to do. Each VM has to be hydrated, powered on in the right order and so on and so forth. You don't have to worry about any of that. You can keep an eye on it. But in the meantime, let's talk about something else. We are doing failover, but after you failover, you run in Xi as if it was your own setup and environment. Maybe I want to create a new VM. I create a VM and I want to maybe extend my HR app's web tier. Let me name it as "HR_Web_3." It's going to boot from that disk. Production network, I want to run it on production network. We have production and test categories. This one, I want to give it employee payroll category. Now it applies the same policies as it's peers will. Here, I'm going to create the VM. As you can see, I can already see some VMs coming up. There you go. So three VMs from on-prem are now being filled over here while the fourth VM that I created is already being powered. Speaker 2: So this is basically realtime, one-click failover, while you're using Xi for your [inaudible 01:54:13] operations as well. Speaker 1: Exactly. Speaker 2: Wow. Okay. Good stuff. What about- Speaker 1: Let me add here. As the other cloud vendors, they'll ask you to make your apps ready for their clouds. Well we tell our engineers is make our cloud ready for your apps. So as you can see, this failover is working. Speaker 2: So what about failback? Speaker 1: All of them are up and you can see the protection rule "platinum" has been applied to all four. Now let's look at this recovery plan points "HR_Web_3" right here, it's already there. Now assume the on-prem was already up. Let's go back to on-prem- Speaker 2: So now the scenario is, while Binny's coming up, is that the on-prem has come back up and we're going to do live migration back as in a failback scenario between the data centers. Speaker 1: And how hard is it going to be. "HR App Recovery" the same "HR App Recovery", I click failover and the system is smart enough to understand the direction is reversed. It's also smart enough to figure out "Hey, there are now the four VMs are there instead of three." Xi to on-prem, one-click failover again. Speaker 2: And it's rerunning obviously the same runbook but in- Speaker 1: Same runbook but the details are different. But it's hidden from the customer. Let me go to the VMs view and do something interesting here. I'll group them by availability zone. Here you go. As you can see, this is a hybrid cloud view. Same management plane for both sides public and private. There are two availability zones, the Xi availability zone is in the cloud- Speaker 2: So essentially you're moving from the top- Speaker 1: Yeah, top- Speaker 2: ... to the bottom. Speaker 1: ... to the bottom. Speaker 2: That's happening in the background. While this is happening, let me take the time to go and look at billing in Xi. Speaker 1: Sure, some of the common operations that you can now see in a hybrid view. Speaker 2: So you go to "Billing" here and first let me look at my account. And account is a simple page, I have set up active directory and you can add your own XML file, upload it. You can also add multi-factor authentication, all those things are simple. On the billing side, you can see more details about how did I rack up $966. Here's my credit card. Detailed description of where the cost is coming from. I can also download previous versions, builds. Speaker 1: It's actually Nutanix as a service essentially, right? Speaker 2: Yep. Speaker 1: As a subscription service. Speaker 2: Not only do we go to on-prem as you can see, while we were talking, two VMs have already come back on-prem. They are powered off right now. The other two are on the wire. Oh, there they are. Speaker 1: Wow. Speaker 2: So now four VMs are there. Speaker 1: Okay. Perfect. Sometimes it works, sometimes it doesn't work, but it's good. Speaker 2: It always works. Speaker 1: Always works. All right. Speaker 2: As you can see the platinum protection rule is now already applied to them and now it has reversed the direction of [inaudible 01:57:12]- Speaker 1: Remember, we showed one-click DR, failover, failback, built into the product when Xi ships to any Nutanix fabric. You can start with DSX on premise, obviously when you failover to Xi. You can start with AHV, things that are going to take the same paradigm of one-click operations into this hybrid view. Speaker 2: Let's stop doing lift and shift. The era has come for click and shift. Speaker 1: Binny's now been promoted to the Chief Marketing Officer, too by the way. Right? So, one more thing. Speaker 2: Okay. Speaker 1: You know we don't stop any conferences without a couple of things that are new. The first one is something that we should have done, I guess, a couple of years ago. Speaker 2: It depends how you look at it. Essentially, if you look at the cloud vendors, one of the key things they have done is they've built services as building blocks for the apps that run on top of them. What we have done at Nutanix, we've built core services like block services, file services, now with Calm, a marketplace. Now if you look at [inaudible 01:58:14] applications, one of the core building pieces is the object store. I'm happy to announce that we have the object store service coming up. Again, in true Nutanix fashion, it's going to be elastic. Speaker 1: Let's- Speaker 2: Let me show you. Speaker 1: Yeah, let's show it. It's something that is an object store service by the way that's not just for your primary, but for your secondary. It's obviously not just for on-prem, it's hybrid. So this is being built as a next gen object service, as an extension of the core fabric, but accommodating a bunch of these new paradigms. Speaker 2: Here is the object browser. I've created a bunch of buckets here. Again, object stores can be used in various ways: as primary object store, or for secondary use cases. I'll show you both. I'll show you a Hadoop use case where Hadoop is using this as a primary store and a backup use case. Let's just jump right in. This is a Hadoop bucket. AS you can see, there's a temp directory, there's nothing interesting there. Let me go to my Hadoop VM. There it is. And let me run a Hadoop job. So this Hadoop job essentially is going to create a bunch of files, write them out and after that do map radius on top. Let's wait for the job to start. It's running now. If we go back to the object store, refresh the page, now you see it's writing from benchmarks. Directory, there's a bunch of files that will write here over time. This is going to take time. Let's not wait for it, but essentially, it is showing Hadoop that uses AWS 3 compatible API, that can run with our object store because our object store exposes AWS 3 compatible APIs. The other use case is the HYCU backup. As you can see, that's a- Section 12 of 13 [01:50:00 - 02:00:04] Section 13 of 13 [02:00:00 - 02:13:42] (NOTE: speaker names may be different in each section) Vineet: This is the hycu back up ... As you can see, that's a back-up software that can back-up WSS3. If you point it to Nutanix objects or it can back-up there as well. There are a bunch of back-up files in there. Now, object stores, it's very important for us to be able to view what's going on there and make sure there's no objects sprawled because once it's easy to write objects, you just accumulate a lot of them. So what we wanted to do, in true Nutanix style, is give you a quick overview of what's happening with your object store. So here, as you can see, you can look at the buckets, where the load is, you can look at the bucket sizes, where the data is, and also what kind of data is there. Now this is a dashboard that you can optimize, and customize, for yourself as well, right? So that's the object store. Then we go back here, and I have one more thing for you as well. Speaker 2: Okay. Sounds good. I already clicked through a slide, by the way, by mistake, but keep going. Vineet: That's okay. That's okay. It is actually a quiz, so it's good for people- Speaker 2: Okay. Sounds good. Vineet: It's good for people to have some clues. So the quiz is, how big is my SAP HANA VM, right? I have to show it to you before you can answer so you don't leak the question. Okay. So here it is. So the SAP HANA VM here vCPU is 96. Pretty beefy. Memory is 1.5 terabytes. The question to all of you is, what's different in this screen? Speaker 2: Who's a real Prism user here, by the way? Come on, it's got to be at least a few. Those guys. Let's see if they'll notice something. Vineet: What's different here? Speaker 3: There's zero CVM. Vineet: Zero CVM. Speaker 2: That's right. Yeah. Yeah, go ahead. Vineet: So, essentially, in the Nutanix fabric, every server has to run a [inaudible 02:01:48] machine, right? That's where the storage comes from. I am happy to announce the Acropolis Compute Cloud, where you will be able to run the HV on servers that are storage-less, and add it to your existing cluster. So it's a compute cloud that now can be managed from Prism Central, and that way you can preserve your investments on your existing server farms, and add them to the Nutanix fabric. Speaker 2: Gotcha. So, essentially ... I mean, essentially, imagine, now that you have the equivalent of S3 and EC2 for the enterprise now on Premisis, like you have the equivalent compute and storage services on JCP and AWS, and so forth, right? So the full flexibility for any kind of workload is now surely being available on the same Nutanix fabric. Thanks a lot, Vineet. Before we wrap up, I'd sort of like to bring this home. We've announced a pretty strategic partnership with someone that has always inspired us for many years. In fact, one would argue that the genesis of Nutanix actually was inspired by Google and to talk more about what we're actually doing here because we've spent a lot of time now in the last few months to really get into the product capabilities. You're going to see some upcoming capabilities and 55X release time frame. To talk more about that stuff as well as some of the long-term synergies, let me invite Bill onstage. C'mon up Bill. Tell us a little bit about Google's view in the cloud. Bill: First of all, I want to compliment the demo people and what you did. Phenomenal work that you're doing to make very complex things look really simple. I actually started several years ago as a product manager in high availability and disaster recovery and I remember, as a product manager, my engineers coming to me and saying "we have a shortage of our engineers and we want you to write the fail-over routines for the SAP instance that we're supporting." And so here's the PERL handbook, you know, I haven't written in PERL yet, go and do all that work to include all the network setup and all that work, that's amazing, what you are doing right there and I think that's the spirit of the partnership that we have. From a Google perspective, obviously what we believe is that it's time now to harness the power of scale security and these innovations that are coming out. At Google we've spent a lot of time in trying to solve these really large problems at scale and a lot of the technology that's been inserted into the industry right now. Things like MapReduce, things like TenserFlow algorithms for AI and things like Kubernetes and Docker were first invented at Google to solve problems because we had to do it to be able to support the business we have. You think about search, alright? When you type in search terms within the search box, you see a white screen, what I see is all the data-center work that's happening behind that and the MapReduction to be able to give you a search result back in seconds. Think about that work, think about that process. Taking and pursing those search terms, dividing that over thousands of [inaudible 02:05:01], being able to then search segments of the index of the internet and to be able to intelligent reduce that to be able to get you an answer within seconds that is prioritized, that is sorted. How many of you, out there, have to go to page two and page three to get the results you want, today? You don't because of the power of that technology. We think it's time to bring that to the consumer of the data center enterprise space and that's what we're doing at Google. Speaker 2: Gotcha, man. So I know we've done a lot of things now over the last year worth of collaboration. Why don't we spend a few minutes talking through a couple things that we're started on, starting with [inaudible 02:05:36] going into com and then we'll talk a little bit about XI. Bill: I think one of the advantages here, as we start to move up the stack and virtualize things to your point, right, is virtual machines and the work required of that still takes a fair amount of effort of which you're doing a lot to reduce, right, you're making that a lot simpler and seamless across both On-Prem and the cloud. The next step in the journey is to really leverage the power of containers. Lightweight objects that allow you to be able to head and surface functionality without being dependent upon the operating system or the VM to be able to do that work. And then having the orchestration layer to be able to run that in the context of cloud and On-Prem We've been very successful in building out the Kubernetes and Docker infrastructure for everyone to use. The challenge that you're solving is how to we actually bridge the gap. How do we actually make that work seamlessly between the On-Premise world and the cloud and that's where our partnership, I think, is so valuable. It's cuz you're bringing the secret sauce to be able to make that happen. Speaker 2: Gotcha, gotcha. One last thing. We talked about Xi and the two companies are working really closely where, essentially the Nutanix fabric can seamlessly seep into every Google platform as infrastructure worldwide. Xi, as a service, could be delivered natively with GCP, leading to some additional benefits, right? Bill: Absolutely. I think, first and foremost, the infrastructure we're building at scale opens up all sorts of possibilities. I'll just use, maybe, two examples. The first one is network. If you think about building out a global network, there's a lot of effort to do that. Google is doing that as a byproduct of serving our consumers. So, if you think about YouTube, if you think about there's approximately a billion hours of YouTube that's watched every single day. If you think about search, we have approximately two trillion searches done in a year and if you think about the number of containers that we run in a given week, we run about two billion containers per week. So the advantage of being able to move these workloads through Xi in a disaster recovery scenario first is that you get to take advantage of the scale. Secondly, it's because of the network that we've built out, we had to push the network out to the edge. So every single one of our consumers are using YouTube and search and Google Play and all those services, by the way we have over eight services today that have more than a billion simultaneous users, you get to take advantage of that network capacity and capability just by moving to the cloud. And then the last piece, which is a real advantage, we believe, is that it's not just about the workloads you're moving but it's about getting access to new services that cloud preventers, like Google, provide. For example, are you taking advantage like the next generation Hadoop, which is our big query capability? Are you taking advantage of the artificial intelligence derivative APIs that we have around, the video API, the image API, the speech-to-text API, mapping technology, all those additional capabilities are now exposed to you in the availability of Google cloud that you can now leverage directly from systems that are failing over and systems that running in our combined environment. Speaker 2: A true converged fabric across public and private. Bill: Absolutely. Speaker 2: Great stuff Bill. Thank you, sir. Bill: Thank you, appreciate it. Speaker 2: Good to have you. So, the last few slides. You know we've talked about, obviously One OS, One Click and eCloud. At the end of the day, it's pretty obvious that we're evaluating the move from a form factor perspective, where it's not just an OS across multiple platforms but it's also being distributed genuinely from consuming itself as an appliance to a software form factor, to subscription form factor. What you saw today, obviously, is the fact that, look you know we're still continuing, the velocity has not slowed down. In fact, in some cases it's accelerated. If you ask my quality guys, if you ask some of our customers, we're coming out fast and furious with a lot of these capabilities. And some of this directly reflects, not just in features, but also in performance, just like a public cloud, where our performance curve is going up while our price-performance curve is being more attractive over a period of time. And this is balancing it with quality, it is what differentiates great companies from good companies, right? So when you look at the number of nodes that have been shipping, it was around ten more nodes than where we were a few years ago. But, if you look at the number of customer-found defects, as a percentage of number of nodes shipped it is not only stabilized, it has actually been coming down. And that's directly reflected in the NPS part. That most of you guys love. How many of you guys love your Customer Support engineers? Give them a round of applause. Great support. So this balance of velocity, plus quality, is what differentiates a company. And, before we call it a wrap, I just want to leave you with one thing. You know, obviously, we've talked a lot about technology, innovation, inspiration, and so forth. But, as I mentioned, from last night's discussion with Sir Ranulph, let's think about a few things tonight. Don't take technology too seriously. I'll give you a simple story that he shared with me, that puts things into perspective. The year was 1971. He had come back from Aman, from his service. He was figuring out what to do. This was before he became a world-class explorer. 1971, he had a job interview, came down from Scotland and applied for a role in a movie. And he failed that job interview. But he was selected from thousands of applicants, came down to a short list, he was a ... that's a hint ... he was a good looking guy and he lost out that role. And the reason why I say this is, if he had gotten that job, first of all I wouldn't have met him, but most importantly the world wouldn't have had an explorer like him. The guy that he lost out to was Roger Moore and the role was for James Bond. And so, when you go out tonight, enjoy with your friends [inaudible 02:12:06] or otherwise, try to take life a little bit once upon a time or more than once upon a time. Have fun guys, thank you. Speaker 5: Ladies and gentlemen please make your way to the coffee break, your breakout sessions will begin shortly. Don't forget about the women's lunch today, everyone is welcome. Please join us. You can find the details in the mobile app. Please share your feedback on all sessions in the mobile app. There will be prizes. We will see you back here and 5:30, doors will open at 5, after your last breakout session. Breakout sessions will start sharply at 11:10. Thank you and have a great day. Section 13 of 13 [02:00:00 - 02:13:42]

(upbeat music) >> Hello, and welcome to theCUBE special coverage of Sapphire Now we're here in Palo Alto. Sapphire now SAPs premier conference in Orlando. We are in Palo Alto, we have folks on the ground in Orlando. Special three days of wall-to-wall coverage. Tuesday, Wednesday, and Thursday. Taking you through all the action from our new studio in Palo Alto, 4,500 square feet. Our chance to cover events when we can't get there in person we certainly can cover it from here. And that's what we're going to be doing for the next three days; we're going to have stories on the ground, no story is too small. We're going to chase 'em all down. We have people calling in, we have folks on the ground that'll be Skyping in, calling in, whatever it takes to get the story out to you, we're going to do it and, certainly, expert coverage from inside the studio here. We got George Gilbert from Wikibon and a variety of folks who did not make it to Orlando will be coming into Palo Alto to sit down and talk with us. I'm John Furrier, my co-host is Jeff Frick. Jeff, we'll do whatever it takes. We'll cover from our studio, we'll go to Orlando virtually we got the Twitter hashtag, Sapphirenow, we're on that. We have folks on the ground, a lot of great news coming out of Sapphire. >> What do ya think? I mean, you were just as Dell EMC World last week and the story was all about, kind of, hybrid cloud and customer choice and it sounds like that's a recurring theme here at SAP, where they've got a lot of cloud options based on what their customer wants to do. >> I mean, if you, I mean this sounds really bad to say for someone who follows the tech industry but I just think this digital transformation thing is just over-played. But it's the, it's the Groundhog's Day moment. The movie just keeps replaying itself. Digital transformation, digital transformation, and, again, just like every other commerce, like Dell EMC World and every other one, digitally transforming your business is the theme. Little bit played, I would say business transformation is, I would say, the next chapter of what's happening and what you see from these shows. Specifically, at Dell EMC World, US ServiceNow, OpenStack, all the different events, Red Hat's been the one we been going to this past couple weeks is the business impact of the technology and SAP highlights that with their results and their keynotes in the news letter drops today, which is, look it, they have been doing SAP for all the top companies powering with SAP. As in Oracle. But now the customers want to go beyond the legacy SAP. And this has been a challenge for SAP over the past five years. They've had all the right messaging, digital dashboards, real time for business, all there. But the problem was they were missing a big piece of it. That is a cloud native and really aligning with the explosive growth of cloud computing, cloud native. Which is the new application developer. This new class of developer is emerging and that's different than the in-house SAP guys, by the way, which is still a massive market. >> Sure. >> That's the big trend. And of course, machine learning, AI, the kinds of design tooling that you'd expect to see, they're calling that Leonardo. >> I think it really shows the power of the consumer and the impact that the big public clouds have had on the marketplace, right? With Google, and with Amazon, especially Microsoft, as well, coming into play. And I think it's, what's interesting on the SAP tact is they have their own cloud. But now they've, you know, are very aggressively following up on an earlier announcement at Google Cloud Platform Show. With more announcements at this show and then they continue to strengthen their relationship with Amazon. So, it's a pretty interesting place, if you're an SAP customer, really having options around where, what cloud and what cloud deployment is really no longer an argument. You've got a lot of options at SAP, very different than Oracle, which is still pretty much exclusively Oracle on the Oracle cloud. Very different kind of a tact. >> Yeah and just reading the hard news from from hitting the ground today down in Orlando is the key points, I'll just summarize it real quick. Expanded SAP Leonardo, Digital Innovation System, SAP Google Expand the Strategic Partnership, SAP Cloud Platform accelerates adoption and proves choice advances consumption for customers. That, essentially, is it. And there's a lot of other subtext going on on Enterprise Cloud, a lot of other massive pockets. But in terms of top-level news, it's Leonardo, okay? Leonardo Da Vinci, dead, creative genius. Okay? But that is all about providing the tools for business to be successful in a digital world. But to me, the big story, Jeff, is the transformation of what used to be called HANA Cloud Platform to SAP Cloud Platform. This is their platform as a service bet around winning the new developers, the cloud native. Last year at Sapphire, we actually had theCUBE on the ground they announced a deal with Apple computer around iOS and developers. That, now, has chip as a general availability so you're seeing SAP bringing two worlds together. The Cloud Native World, which they never played in much to the SAP Eco System, which is flush with cash. There's a ton of money to be made in that world. The install base is massive, now you have Cloud-Computing Hybrid Cloud with the HANA Cloud Platform, I mean the SAP Cloud Platform to bring that in. Again, I still can't even get it right. >> And so, let's just break it down as simply as you can, John. Why do they change the name? And what exactly do they have today? >> Well, here's the first of all problem. I'm so used to saying HANA because they have been branding HANA on >> They been bangin' HANA for the decade, or forever. >> It's just like, in my brain. I just can't get it out. SAP HANA, so anytime, and they actually called it HANA Cloud Platform before. >> Right, right. >> But HANA is such a massive set of capabilities that they really wanted to break out the platform as a service, which is the Cloud Native play, where all the action is for developers. From HANA, a viable product that they have that everyone's using. So, they have two clouds that we can say. SAP Cloud Platform, that's in Cloud Native, and then, HANA Enterprise Cloud. One's a delivery mechanism and one's a developer environment; it's the way I like to think about it. I'm a HANA customer, I'm going to need Enterprise Cloud to take my HANA solution and extend it up with self-service or provisioning, some partnership with AWS Google and the different clouds, getting my legacy HANA Enterprise software to be cloud enabled. That's HANA Enterprise Cloud. SAP Cloud Platforms for folks who don't, who like DevOps, the Cloud Native world that we cover deeply. >> Okay, and then, how do you look at the kind of Google partnership, Google Cloud Platform versus AWS partnership. SAP's goin' dual-track, is it just simply to have choice based on what their customers, are they fundamentally different relationships? How do you read that? >> This is where I think SAP's got genius going on. But if they might screw it up because they can't get out of their own way. >> Jeff: Can't use genius anymore, we've had enough geniuses. >> So, so, this could be a brilliant strike of move for SAP. I think it's a brilliant move in the way they're playing it out. But, again, like I said, SAP, they might not be able to get out of their own way. That's going to be their issue. But from a functionality standpoint, this multi-cloud opportunity; they've been with Amazon for many many years. They announced a partnership with Google which is just kind of toe in the water. That's tryin' to advance pretty quickly. Not a lot of meat on the bone there. And Azure relationships. So, SAP wants to put their cloud platform, that platform as a service, in all the different major clouds so that their legacy can work on pram and in whichever cloud the customer chooses. >> Yeah, I think there is, >> I think, that is a multi-cloud strategy that is viable for SAP. Unlike, say, Oracle, which isn't multi-cloud, it's Oracle Cloud. >> Right, right, right. >> So, you know the SAP Oracle, you know, head-to-head thing has been kind of, like, taking completely different paths. Someone will be right. >> Right. But I think there's more meat on the bone with the Google thing than, maybe, maybe we know of, or are aware of, or whatever. I mean, Burnt did come and get in the keynote with Diane Greene at Google Cloud Platform. And, you know, I think it's relatively significant. What'll be interesting to see how it shapes out and, again, what are the customer choices that are going to drive them to Amazon or to SB Cloud or to the Google cloud. I guess at the end of the day it's about choice and I know that was a big theme at Dell EMC World. Is that everyone has to cater to the choice of the customer or else it's just too easy for them to flip a lot of these other clouds. >> I mean, when I say, "not ready for primetime," I mean, Google's got a lot of work to do. SAP as a company is not as far down the road with Google as they are with Amazon and Azure, just to make my point clear. >> Okay. >> But the do have our announcing additional certifications of the coinnovation between SAP and Google. Between SAP Cloud Platform and Google Cloud Platform. IOT, machine learning, they certified SAP NetWeaver in a variety of S4 HANA, business warehousing; essentially more market place to accelerate the digital transformation. And, again, this is all about SAP co-locating in Google. >> Right, right. >> If a customer wants to take advantage of TensorFlow and all the goodness of, say, Google. That's a good move for SAP and, again, I think this is a brilliant strategy for SAP if they don't screw it up. >> Right, right. And potentially, that's the bridge to, like you said, it's been a little bit of Groundhog Day with cloud, cloud, cloud. But what's really the theme of 2017 is AI machine learning and it's an interesting bridge with Google Cloud, to their TensorFlow as another way to bring AI machine learning into the application learning into the application. >> So, Jeff, we've been covering a lot of events. One comment, I will say, is that SAP always has great messaging. >> I got to say, because we've been covering out eighth year covering Sapphire Now. We've only missed, like, two years over that time span. It's a lot like Oracle on the sense that it's a very business oriented event, but they have good pulse. Bill McDermott, great communicator, great customer-focused person. Always has his hand on the pulse. They have great messaging. And they tend to pick the right waves. And they've had some false starts with cloud, they've bought, had some acquisitions, things been cobbled together, but they've never wavered from their mission. And the mission has always been powering the speed of business, great software solutions. The issue is, they're moving off of SAP to new cloud solutions, so SAP is taking a proactive strike to say, look here, we can play in the cloud, therefore this multi-cloud game is critical for the growth of SAP, in my opinion. >> How much of the SAP in cloud will be new greenfield opportunities, or people want the flexibility, and a lot of the attributes of cloud versus, they're not migrating old R3 instances into the cloud. I mean, this is, I would assume, mainly new greenfield opportunities. >> Well, I think it's both. I mean, I think you have greenfield developers basically that are being hired by their customers to build apps, top line driven apps, and also, you know, some consolidation apps. But mainly, you know, their customers are hiring developers. Hey, we need a mobile app for our business, so you need to have data, you need to have some domain expertise. But at the end of the day, the system of records probably stored in some SAP system somewhere. So what they're trying to do is decouple the dependency between that developer, but still use SAP, but and offer an extension of SAP. It really is an opportunity, in my mind, for that to happen, and also partners. Look at Accenture, Capgemini, all these different partners. They are poised to create some great value and make some cash along the way. Remember the minicomputer boom. People who lined their pockets with cash were the integrators. The large global system integrators. So I think that, and the channel partners are going to have a great opportunity to take advantage of preexisting legacy accounts and to grow them further. >> Well, they certainly have a giant ecosystem. There's no doubt about it. It's one of the startup challenges that, new company starters to build that ecosystem. I mean, they have a giant ecosystem. So, what are you looking for this week besides the obvious announcement? And kind of tells that you want to see to let you know that SAP continues to be on track and move with the shifting tides of the market trends? >> Well do me, I'm looking at the multi-cloud story. It's a good story. Not sure how baked it is, but from a story standpoint, I really like it. I think that whoever can really crack the code on multi-cloud in a viable way is going to be a winner. So to me, I'm going to be looking heavily at the multi-cloud stuff coming out of Orlando. I'm interested to see how the developer traction pans out. I'm really interested in following up on the Apple relationship and see how that pans out. And then ultimately, how the rest of SAP can transform as a business. Because SAP tends to have a lot of buzzwords, a lot of word salad, not a lot of, you know, breaking it down and orchestrating. So to me, SAP, where I'm critical of them is, they kind of can't get out of their own way, Jeff. So, sometimes they kind of get caught in that old world thinking when the world is moving very very fast. Look at Amazon Web Services, you look at what Google's doing, you look at where Vmware is changing. Vmware started Pat Gelsinger. He was in the dumps in 2016, now he's flying high. He went from almost being fired, stock had a 52 week low, to them soaring. They have a market cap that's greater than HPE. So these old incumbent like SAP, they have to transform their culture, get relevant, and get real. And if they can't show the proof points with customer wins and partners, and multi-cloud, then they're going to be on shaky ground. So that's what I'm looking for. >> Jeff: All right, so should be a good week. I'm looking forward to it. >> Okay, we are here in the Palo Alto studio, our new 4,500 square foot operation. We can do coverage here, and then have on the ground coverage of which we will be doing all week Tuesday, Wednesday, and Thursday for our SAP Sapphire Now. We've got great guests coming in, great editorial coverage. I want to thank our sponsors, SAP, for, you know, allowing us to do this and continuing theCUBE tradition at Sapphire Now. I'm John Furrier with Jeff Frick. More coming after this short break.

(orchestra music) >> Man: Live from Fisherman's Wharf in San Francisco, it's the Cube, covering IBM Chief Data Officer Strategy Summit, Spring 2017, brought to you by IBM. >> Welcome back everybody, Jeff Rick here at the Cube. We're in Fisherman's Wharf in San Francisco at the IBM Chief Data Officer Strategy Summit Spring 2017. It's a mouthful, but it's an ongoing series you know, it's not just one show. They're doing them on the east coast, west coast, and starting to take it all over the world. Really, a community of chief data officers coming together with the likes of their own, talking about common issues, best practices. And of course, IBM's got something to offer as well. So, we're excited to have our next guest, Ken Jacquier here. He's the Information Governance Practice from IBM. Welcome. >> Thank you. >> So, what have you been hearing in the hallways outside of the sessions? What's kind of the hot buzz topic? >> Well, actually everybody's pretty much talking about what came up in the sessions, it's all about the talent. How do these Chief Data Officers get the talent that they need to meet the mandate they've been given? >> It's not just automatically just like connect the data, via some APIs and the magic happens (laughs). >> Sometimes the people part is the hardest part. The technology's important, the machine learning is great, the algorithms are amazing, but it does come down to people. And there's some new skill sets that these chief data >> officers need in their people, so that's what they're talking about. >> So when you think about the talent, what kinds of jobs are talking about? We know the CDO job. >> Ken: Yeah. >> What kind of jobs are now underneath the CDO that are going to help the CDO get their job done? >> Yeah, absolutely. You've got the classic data scientist role that we are all talking about, we're all excited about because that can monetize the data. That's what gets the board's attention. So there's a lot of focus there. But a term that came up in the last session that I was in that I really liked was the data translator. And the point there was data scientists can be schooled in certain things, understand their algorithms, understand machine learning, but this really important skill set they're looking for is the data translator. >> So the business is looking to drive outcomes. The chief marking officer may have an objective. >> The vice president of sales has an objective. Supply chain needs to optimize. Who is the data translator that can get from this deep, difficult, often dirty data and translate it into what the business is trying to accomplish? It's a really cool role. >> Yeah, we've actually heard about this role pretty frequently, this concept very frequently when you come right down to it. And a lot of it pertains to who is in a position to understand data quality, how data transformation works, so that the outcome in fact is what's expected as opposed to just a consequence data wrong. >> Exactly. Two examples of that that I've heard today in the initial keynote session, it came up, that in this renaissance of data, we're going to look for people to bring the left side of their brain together and the right side of their brain together. In the last session, of the ladies at a large international bank, the chief data officer there, she said, "for me, honestly, even though this is difficult, "it's not about IQ, it's about EQ." I've got to have the people that can collaborate. I've got to have the people that can communicate both with the business and with the IT side. I mean, we all know that story, right. Such a challenge to pull IT and business together, >> but data is really forcing individually talented people to actually do that wherever they reside in the org chart. >> If you're the embed, you're the embed person from the CEO office working with that business unit, you've got to listen, you've got to convince them that you can help them, so it is really a softer skill. You know, the Da Vinci word has come up a couple of times. And what made Da Vinci so amazing is he had the science, but he also had the art, and the two are very, very connected. >> Exactly what we were talking about, exactly. And the listening skill is incredibly important as well. I mean a lot of times, there's so much emphasis in communication on getting your perspective out there. A lot of times in these situations, you're trying to express your view. Way underestimated skill, listening, how important that is for this stuff to work. >> So, your formal title is Information Governance Practice? >> Ken: Yes. >> Now, governance means a lot of things to a lot of people, and I don't want to put words in your mouth, but from my >> perspective, it means how are you going to ensure, put in place rules and mechanisms and methods to ensure that works get done around a particular set of issues. So, when we talk about talent, we talk about creativity, we also can talk about governance so that we in fact get the right set of practices put in place, so not that it >> runs by itself, but it runs at a high quality. >> So one of the things that you're doing with clients, to try to take talent and rules and turn it into an actual function that does (mumbles) business values. >> Yeah, it's a great question. So again, and if anybody's listening to this and they're talking about careers, or they're thinking about work coming up, or you're coming out of college, and you're like what would I want to do, think about this conversation we're having and the opportunity here. So, you just described I've got to drive business agility, and I've got to mitigate risk. Those sound like conflicting objectives. They can't be anymore. The talent has to come in. And what we're trying to help companies with is how do you build both a culture, but then also how do you bring in talent that can be excited, and creative, and innovative to drive that business agility, but respects the fact that if we don't take care of this data, important people can get in trouble. If we don't take care of this data, our clients can be in trouble, and our credibility can be damaged. But that has to be handled in tandem. It can't be two separate functions. In the past, a lot of times, we did have maybe an EIM organization that does the institutional, keep the data quality clean, and then there were innovation teams over here playing around building the new business model acquiring companies. In this new world, all this data's coming together, and you've got to be able to develop. So the word we like to use nowadays with our clients is the appropriate governments. With your financial data, you're still going to have that locked down. You're still going to have all those policies, all those business rules. That's got to be in place. But then, there's certain data that we can maybe not manage quite as tightly. We can create a landing zone where we brought in external data or third party data, and we can let marketing have a little more freedom with that. And we can be a little more creative and innovative and I don't think they have to be opposite perspectives. If they have the right architecture and the right processes, and the right governance, you can do both. >> Is it easy for someone who's had the lockdown governance for so long to start to open up their mind and think about ways that they can open it? Or does it have to come from an external point of view that looks at it from a different lens and isn't kind of locked down by the old paradigm? >> Yeah, that's a great question. And there were three R's that came up in the meeting today in terms of talent. It was recruit. So to your point, to some degree, we're going to have to recruit new folks with new paradigms. A lot of conversation in there about what an incredible opportunity for the millennials and the newer folks in the workforce if they don't have those paradigms. On the other hand, we have to still >> retain deep institutional knowledge of our data. So that might mean retraining existing skill sets, people that really know our databases, that really know where the most important data lives, but retrain them a little bit for this new environment. And then the third R was retain. So as we build these hybrid skill sets, people that are good on the business side, good on the IT side, we make that investment. How does an organization, how does a company retrain them? And for the HR professionals out there, for the senior VPs of HR, that's where you come in. You need to help these companies write job descriptions, build career paths, show people that they can work in these environments and still grow, both financially, professional, and career wise. Does that make sense? >> That makes a ton of sense, interesting challenge. I just interviewed a millennial speaker at the Professional Businesswoman's Conference, and he just flat out said, the new paradigm from his point of view as a 26 year old, is most people aren't staying on the job for more than six years. It's almost kind of built in life sabbatical every couple three or four years. So, the retention challenge is very difficult and for that generation, so much it's kind of the purposefulness. And if you can get the purposefulness in, big motivator behavior. >> Purposefulness, being a part of something bigger. >> So that's where this balance can come in. If I'm working to appropriately govern my financial data, but I'm also given an opportunity to work with the acquisitions team that's bringing an international flavor into my company, that can give that younger person a little bit of both, and help with that retention. >> One of the challenges though when we think about governance is to ensure as you said, that the rules were appropriate. >> Ken: Yes. >> One of the other things we've heard here and we certainly know about is data as an asset is different than other assets, in that it's not following the economic scarcity because it's so easy to copy, share, combine, recombine, everything else. >> Ken: Very good point. >> As you think about combining those two things, that appropriateness of data governance for financial data is different from the appropriateness of data governance for marketing data, when you combine them, which appropriateness wins? >> (laughing) >> That's a good question. So, ultimately-- >> Do we have an answer? Is that something we're discovering, is that one of the things that we need to better understand over time? What do you think? >> Yeah I do. And you used the keyword, understand. >> So, a very old terminology in our space is data profiling, of truly understanding your data and understanding where everything lives. That's never been more important than it is today. The right amount of tagging in your data links. So to do what you just described. The answer lies within truly understanding and inventorying what you have, and then you have at least an opportunity to strike that balance. But a lot of folks are skipping that step. So just moving data, they're replicating data, >> they're populating their data links in the Hadoop systems. You've got to have governance even that environment. >> Oh absolutely. And we're seeing that being one of the greatest challenges as people try to put together these analytic pipelines. Is to ensure that there's appropriate governance at each stage in the pipeline to ensure that the outcomes are both what they expected. They can be surprised, but at least it's relevant. And that they themselves are not breaking any laws or rules, or ethical or otherwise, associated with how the data gets used. >> I'd like your economic analogy, because I think that's what customers need to do, and that's what I try to help them with. >> Depending on what their business model is, they're going to understand some concept of a supply chain. But likely they don't understand what you just said, the concept of an information supply chain. So rather than try to explain it in geek speak, with IBM tooling, or all the things we typically do, I encourage customers to think about their perception of a supply chain. How does something move from a raw material to a sold product in their industry, whether it's finance, or whether they're building airplanes or whatever >> they're doing? And then, the customer can start to relate. Okay, my data's doing the same thing isn't it? And oh, I need to start thinking, I get that, my engineering brain and my process, and I have roles in the company. I have (mumbles) that their job is to work on my supply chain out in the factory, you're saying apply those types of approaches to a supply chain for data, what you just described. And once that light bulb starts to go off, there's an opportunity to do what you just said. >> Absolutely, in fact, we specifically talk to our clients about the notion first of, the role of data, first of all, data as an asset. In other words, something that has a consequential impact on a set of activities so you can put it into with other things in supply chain. But we also talk about the value chain. The role the data plays in the value chain. Whatever metaphor, both of those concepts are not broadly understood. Because data is so sharable, is so easily copied, too frequently, people say uh, it's really not an asset. Until they start making the wrong decision widely and repeatedly. So they have to think about it as an asset, they have to think about it as a value chain, and that's where the governance becomes so crucial. It's because if you're not putting in place good governance for your value chains, then you're not creating any value pretty quickly. >> And it's interesting if we think about it. So, data's an asset. Marketing people, software companies have been using that term for a long time. But now that we're at this stage and we have chief data officers, at the C-level folks reporting into the board that have this responsibility. So now the concept's a little better understood. So now the next step is what does that mean? What do I do with my typical assets? What do I do with my human resources assets? If I manage a fleet, what do I do with that fleet? So if something's truly an asset, what do I do? What do I do with it on the general ledger? What do I do from a staffing perspective? Where does it fit into to my overall operating model? And that's kind of what we're seeing unfold here. At an event like this, that's the level of conversation that's starting to happen. Not that it's a marketing buzzword anymore, but if it's true, organizationally, what have I done with other assets? Does that apply to my data as well if I'm using that statement? >> Alright, Ken, we're going to have to leave it there. I know you've got to run off to a session, but thanks for taking a few minutes out of your day. >> Thanks gentlemen. >> Alright, he's Ken. Peter, Jeff, you're watching the Cube at the IBM Chief Data Officer Strategy Summit 2017. Thanks for watching. (easy listening music) (percussive music)

(inspiring piano and string music) >> Announcer: Live from Fisherman's Wharf in San Francisco, it's theCUBE, covering IBM Chief Data Officer Strategy Summit Spring 2017. Brought to you by IBM. >> Hey, welcome back, everybody. Jeff Frick here with theCUBE. We're in downtown San Francisco at the IBM Chief Data Officer Strategy Summit Spring 2017. That's a mouthful, but it's important because there's a series of these strategy summits that are happening not only in the United States, but they're expanding it all over the world, and it's really a chance for practitioners to come together, the chief data officers, to share best practices, really learn from the best, and as we love to do on theCUBE, we get the smartest people we can find, and we have them here. So first off, let me introduce Peter Burris, Chief Research Officer from Wikibon, but from IBM coming right off the keynote-- >> The smart people. >> The smart people, Inderpal Bhandari, he is the IBM Global Chief Data Officer, which is a short title and a big job, and Jesus Mantas, he's the General Manager, Cognitive Transformation, IBM Global Business Services. First off, gentlemen, welcome. >> Thank you. >> Thank you. >> It's really interesting how this chief data officer space has evolved. We've been watching it for years, back to some of the MIT CDOIQ, I think like three or four years ago nobody knew who they were, who were they going to report to, what are they going to do, what's the scope of the job. That's changed dramatically, and it really says something to IBM's credit that they just went out and got one to help really to refine and define for your customers where this is going. So first off, welcome, and let's get into it. How is the role starting to solidify as to what do chief data officers do? >> So, I'll take that. In terms of chief data officers, if you think in terms of the advent of the position, when it started out, I was one of the earliest in 2006, and I've done the job four times, and it has been continuously evolving ever since. When the job was first, in my very first job, I actually had to create the job because there was a company very interested in recruiting me, and they said they sensed that data was critical. It was a company in pharmaceutical insurance, so really very data based, right, everything is driven through data. And so, they had a sense that data was going to be extremely important, extremely relevant, but they didn't really have the position, or they didn't coin the phrase. And I suggested that there were three other chief data officers at that time in the U.S., and so, I became the fourth. At that time, it had to do with, essentially aligning data with strategy, with the strategy of the company, which means how is the company actually planning to monetize itself? Not its data, but itself. And then, essentially make sure that the data is now fit for purpose, to help them with that monetization. And so, that's all about aligning with the corporate strategy, and you have to have an officer who's capable of doing that and has that focus and is able to push that because then, once you start with that strategy, and then, there are plenty of different branches that shoot off, like governance, centralization of data, analytics, data science, and so on and so forth, and then, you have to manage that process. >> And data used to be kind of a liability, hard to think today looking back, 'cause you had to buy servers and storage, and it was expensive, and what do you do with it all? You can't analyze it. Boy, how the world has flipped. Now, data is probably one of your most important assets, but then, the big question, right, what do you do with it to really make it an asset? >> It is, it is, and it's actually fascinating to see here in the summit how even the role that was created in a few years, chief data officer, is coupled with this change in the nature of the value of that role has changed. To your point, I remember meeting some CIO friends 10 years ago that they were telling me how they were deleting data because it was too costly to have it. Now, those same CIOs would give whatever they could have to get that data back and have that history and be able to monetize the data. Because of the evolution of computing, and because now, not only the portion of the physical world that we've been able to represent with data for the last 50 years with information technology, but we're adding to that space all of this 80% of the data that even if digitized we were unable to use in processes, in decision making, in manufacturing. Now we have cognitive technology that can actually use that data, the role of the chief data officer is actually expanding significantly from what used to be the element of data science, of data governance, of data sovereignty, of data security, to now this idea of value creation with basically five times more categories of data, and it actually is a dialogue that we're having here at the summit that is the fascinating from the people who are doing this job every day. >> If you think about the challenges associated with the chief data officer, it's a job that's evolving, but partly one of the reasons why the chief data officer job is evolving is the very concept of the role that data plays in business is evolving, and that's forcing every job in business to evolve. So, the CMO's job's evolving, the CEO's job's evolving, and the CIO's job is evolving. How are you navigating this interesting combination of forces on the role of the CDO as you stake out, this is the value I'm going to bring to the business, even as other jobs start to themselves change and respond to this concept of the value of data? >> People ask me to describe my job, and there are just two words that I use to describe it. It's change agent, and that's exactly how a CDO needs to be, needs to look at their job, and also, actually act on that. Because to your point, it's not just the CDO job is evolving, it's all these other jobs are all evolving simultaneously, and there are times when I'm sitting at the table, it appears that, well, you don't really own anything because everybody else owns all the processes in the business. On the other hand, sometimes you're sitting there, and you're thinking, no, you actually own everything because the data that feeds those processes or comes out of those process is not coming back to you. I think the best way to think about the CDO job is that of a change agent. You are essentially entrusted with creating value from the data, as Jesus said, and then, enabling all the other jobs to change, to take advantage of this. >> 'Cause it's the enablement that that's where you bring the multiplier effect, it's the democratization of the data across the organization, across business roles, across departments is where you're going to get this huge multiplier. >> Yeah, and I think the role of one of the things that we're seeing and the partnership that Inderpal and I have in the way that we do this within IBM, but also, we do it for the rest of our clients is that change agency element of it is the constant infusion of design. Chief data officers were very well-known for the data science elements of it, but part of the constraint is actually no longer the computing capability or the algorithms themselves or the access to the data, which solved those constraints, is now actually preparing the business leaders to consume that and to actually create value, which changes the nature of their job as well, and that's the resistance point where embedding these technologies in the workflows, in a way that they create value in the natural flow of what these jobs actually do is extremely important. Otherwise, I mean, we were having a fascinating discussion before this, even if the data is correct, many business leaders will say, "Well, I don't believe it." And then, if you don't adopt it, you don't get the value. >> You guys are putting together this wonderful community of CDOs, chief data officers, trying to diffuse what the job is, how you go about doing the job. If you're giving advice and counsel to a CEO or board of directors who are interested in trying to apply this role in their business, what should they be looking for? What type of person, what type of background, what type of skills? >> I'll take it, and then, you can. I think it's almost what I would call a new Da Vinci. >> Peter: A new Da Vinci? >> A new Da Vinci is the Renaissance of someone that is, he's got a technology background, because you need to actually understand the mathematical and the data and the technology co-engineering aspect. >> So, if not an IT background, at least a STEM background. >> Exactly, it's a STEM background, but combined with enough knowledge of business architecture. So I call it Da Vinci because if you see the most remarkable paintings and products of Da Vinci was the fusion of mathematics and arts in a way that hadn't been done before. I think the new role of a data science is someone that can be in the boardroom elegantly describing a very sophisticated problem in a very easy to understand manner, but still having the depth of really understanding what's behind it and drawing the line versus what's possible and what's likely to happen. >> I think that's right on. I think the biggest hurdle for a chief data officer is the culture change, and to do that, you actually have to be a Da Vinci, otherwise, you really can't pull that off. >> Peter: You have to be a Da Vinci? >> You have to be a Da Vinci to pull that off. It's not just, you have to appreciate not just the technology, but also the business architecture as well as the fact that people are used to working in certain ways which are now changing on them, and then, there is an aspect of anxiety that goes with it, so you have to be able to understand that, and actually, perhaps even harness that to your advantage as you move forward as opposed to letting that become some kind of a threat or counterproductive mechanism as you move forward. >> I've done a fair amount of research over the years on the relationship between business model, business model design profitability, and this is, there's a lot of different ways of attacking this problem, I'm not going to tell you I have the right answer yet, but one of the things that I discovered when talking to businesses about this is that often it fails when the business fails to, I'm going to use the word secure, but it may not be the right word, secure the ongoing rents or value streams from the intellectual property that they create as part of the strategy. Companies with great business model design also find ways to appropriate that value from what they're doing over an extended period of time, and in digital business, increasingly that's data. That raises this interesting question, what is the relationship between data, value streams over time, ownership, intellectual property? Do you have any insight into that? It's a big question. >> Yeah, no no, I mean, I think we touched on it also in the discussion, both Jesus and I touched on that. We've staked out a very clear ground on that, and when I say we, I mean IBM, the way we are defining that is we are pretty clear that for all the reasons you just outlined, the client's data has to be their data. >> Peter: Has to be? >> Has to be their data. It has to be their insight because otherwise, you run into this notion of, well, whose intellectual property is it, whose expertise is it? Because these systems learn as they go. And so, we're architecting towards offerings that are very clear on that, that we're going to make it possible for a client that, for instance, just wants to keep their data and derive whatever insight they can from that data and not let anybody else derive that insight, and it'll be possible for them to do that. As well as clients where they're actually comfortable setting up a community, and perhaps within an industry-specific setup, they will allow insights that are then shared across that. We think that's extremely important to be really clear about that up front and to be able to architect to support that, in a way that that is going to be welcomed by the business. >> Is that part of the CDO's remit within business to work with legal and work with others to ensure that the rules and mechanisms to sustain management of intellectual property and retain rents out of intellectual property, some call it the monetization process, are in place, are enforced, are sustained? >> That's always been part of the CDO remit, right. I mean, in the sense that even before cognition that was always part of it, that if we were bringing in data or if data was leaving the company that we wanted to make sure that it was being done in the right way. And so, that partnership not just with legal but also with IT, also with the business areas, that we had to put in place, and that's the essence of governance. In the broadest sense, you could think of governance as doing that, as protecting the data asset that the company has. >> They have the derivatives now, though. You're getting stacked derivatives. >> Inderpal: It's much more complicated. >> Of data, and then insight combined, so it's not just that core baseline data anymore. >> And I like to make it an element. You've heard us say for the last five years we believe that data has become the new natural resource for the business. And when you go back to other natural resources, and you see what happened with people that were in charge of them, you can kind of predict a little bit that evolution on the chief data officer role. If you were a landowner in Texas when there was no ability to basically either extract or decline petroleum, you were not preoccupied with how would you protect land rights under the line that you can see. So, as a landowner you have a job, but you were basically focused on what's over the surface. Once actually was known that below the surface there was massive amount of value that could be obtained, suddenly that land ownership expanded in responsibility. You then have to be preoccupied, "Okay, wait a minute, who owns those land rights "to actually get that oil, and who's going to do that?" I think you can project that to the role of the chief data officer. If you don't have a business model that monetizes data, you are not preoccupied to actually figure out how to govern it or how to monetize it or how to put royalties on it, you are just preoccupied with just making sure that the data you have, it was well-maintained and it could be usable. The role's massively expanding to this whole below the line where not only the data is being used for internal purposes, but it's becoming a potential element of a strategy that is new. >> The value proposition, simply stated. >> Jesus: Value proposition, exactly. >> But you're right, so I agree with that, but data as an asset has different characteristics than oil as an asset, or people as an asset. People can effectively be applied to one thing at a time. I mean, we can multitask, but right now, you're having a conversation with us, and so, IBM is not seeing you talk to customers here at the show, for example. Data does not follow the economics of scarcity. >> Jesus: Right. >> It follows a new economics, it's easy to copy, it's easy to share. If it's done right, it's easy to integrate. You can do an enormous number of things with data that you've never been able to do with any other asset ever, and that's one of the reasons why this digital transformation is so interesting and challenging, and fraught with risk, but also potentially rewarding. So, as you think about the CDO role and being the executive in the business that is looking at taking care of an asset, but a special type of asset, how that does change the idea of taking care of the energy or the oil to now doing it a little bit differently because it can be shared, because it can be combined. >> I mean, I think in the way as technology has moved from being a mechanism to provide efficiency to the business to actually being core to defining what the business is, I think every role related to technology is following that theme, so I would say, for example, Inderpal and I, when we're working with clients or on our models, he's not just focused on the data, he's actually forming what is possible for the business to do. What should be the components of the new business architecture? It's this homogenized role, and that's why I kept saying it's like, you could have been one of those Da Vincis. I mean, you get to do it every day, but I don't know if you want to comment on that. >> I think that's exactly right. You are right in the sense that it is a different kind of asset, it has certain characteristics which are different from what you'd find in, say, land or oil or something like a natural resource, but in terms of, and you can create a lot of value at times by holding onto it, or you could create a lot of value by sharing it, and we've seen examples of both metaphors. I think as part of being the CDO, it's being cognizant that there is going to be a lot of change in this role as data is changing, not just in its nature in the sense that now you have a lot more unstructured data, many different forms of data, but also in terms of that's application within the business, and this expansion to changing processes and transforming processes, which was never the case when I first did the job in 2006. It was not about process transformation. It was about a much more classic view of an asset where it's, we create this data warehouse, that becomes the corporate asset, and now, you generate some insights from it, disseminate the insights. Now it's all about actually transforming the business by changing the processes, reimagining what they could be, because the nature of data has changed. >> I have one quick question. >> Last one. >> Very quickly, well, maybe it's not a quick question, so if you could just give me a quick answer. A couple times you both have mentioned the relationship between the CDO and business architecture. Currently, there's a relationship between the CIO and IT architecture, even the CIO and data architecture at a technical level. At IBM, do you actually have staff that does business architecture work? Is there someone, is that a formal, defined set of resources that you have, or should CDOs have access to a group of people who do business architecture? What do you think? >> We've traditionally had business architects at IBM, I think for a long time, that predates me. But again, as Jesus said, their role is also evolving. As it becomes much more about process transformation, it's different than it was before. I mean, this is much more now about a collaborative effort where you essentially sit down in a squad in an agile setting, and you're working together to redesign and reinvent the process that's there. And then, there's business value. It's less about creating large monolithic architectures that span an entire enterprise. It's all about being agile, data-driven, and reacting to the changes that are happening. >> So, turning strategy into action. >> Yes. >> And I think, again, in IBM, one of the things that we have done, our CIO, that is the organization that actually is the custodian of this cognitive enterprise architecture of which Inderpal actually is part of. So, we are actually putting it all together. It used to be an organization. Most COOs have evolved from running operations to defining shared services to now have to figure out what is the digital services version of the enterprise they need to implement, and they can't do that without a CDO in place, they just can't. >> Alright, gentlemen. Unfortunately, we'll have to leave it there. For viewers at home, tune into season two with Inderpal and Jesus. Really a great topic. Congratulations on the event, and we look to forward to the next time. >> Thank you. >> Thank you very much. >> Absolutely. With Peter Burris, I'm Jeff Frick. You're watching theCUBE from the IBM Chief Data Officer Strategy Summit Spring 2017. Be right back with more after this short break. Thanks for watching. (electronic keyboard music)