>>Hi, Lisa Martin here with the cube. You're watching our coverage of Dell technologies world. The digital virtual experience. I've got two guests with me here today. We're going to be talking about the university of Piza and how it is leaning into all flash data lakes powered by Dell technologies. One of our alumni is back MERITO, Debbie, and the CTO of the university of PISA. Maricio welcome back to the cube. Thank you. Very excited to talk to you today. CAUTI Gosha is here as well. The director of product management at Dell technologies. Kaushik. Welcome to the cube. Thank you. So here we are at this virtual event again, Maricio you were last on the cube at VMworld a few months ago, the virtual experience as well, but talk to her audience a little bit before we dig into the technology and some of these demanding workloads that the university is utilizing. Talk to me a little bit about your role as CTO and about the university. >>So my role as CTO at university of PISA is, uh, uh, regarding the, uh, data center operations and, uh, scientific computing support for these, the main, uh, occupation that, uh, that, uh, yeah. Then they support the world, saw the technological choices that university of PISA is, uh, is doing, uh, during the latest, uh, two or three years. >>Talk to me about some, so this is a, in terms of students we're talking about 50,000 or so students 3000 faculty and the campus is distributed around the town of PISA, is that correct? Maricio >>Uh, the university of PISA is sort of a, uh, town campus in the sense that we have 20 departments that are, uh, located inside the immediate eval town, uh, but due to the choices, but university of peace, I S uh, the, uh, last, uh, uh, nineties, uh, we are, uh, owner of, uh, of a private fiber network connecting all our, uh, departments and allow the templates. And so we can use the town as a sort of white board to design, uh, uh, new services, a new kind of support for teaching. Uh, and, uh, and so, >>So you've really modernized the data infrastructure for the university that was founded in the middle ages. Talk to me now about some of the workloads and that are generating massive amounts of data, and then we'll get into what you're doing with Dell technologies. >>Oh, so the university of PISA as a, uh, quite old on HPC, traditional HPC. So we S we are supporting, uh, uh, the traditional workloads from, uh, um, CAE or engineering or chemistry or oil and gas simulations. Uh, of course it during, uh, uh, the pandemic year, last year, especially, uh, we have new, uh, kind of work you'll scan, uh, summer related, uh, to the, uh, fast movement of the HPC workload from let's say, traditional HPC to AI and machine learning. And those are the, um, request that you support a lot of remote activities coming from, uh, uh, uh, distance learning, uh, to remote ties, uh, uh, laboratories or stations or whatever, most elder in presence in the past. And so the impact either on the infrastructure or, and the specialty and the storage part was a significant. >>So you talked about utilizing the high performance computing environments for awhile and for scientific computing and things. I saw a case study that you guys have done with Dell, but then during the pandemic, the challenge and the use case of remote learning brought additional challenges to your environment from that perspective, how, how were you able to transfer your curriculum to online and enable the scientists, the physicists that oil and gas folks doing research to still access that data at the speed that they needed to, >>Uh, you know, for what you got, uh, uh, uh, distance learning? Of course. So we were, uh, based on the cloud services were not provided internally by Yas. So we lie, we based on Microsoft services, so Google services and so on, but what regards, uh, internal support, uh, scientific computing was completely, uh, remote dies either on support or experience, uh, because, uh, I can, uh, I, can I, uh, bring some, uh, some examples, uh, for example, um, laboratory activities, uh, we are, the access to the laboratories, uh, was the of them, uh, as much as possible. Uh, we design a special networker to connect all the and to give the researcher the possibility of accessing the data on visit special network. So as sort of a collector of data, uh, inside our, our university network, uh, you can imagine that the, uh, for example, was, was a key factor for us because utilization was, uh, uh, for us, uh, and flexible way to deliver new services, uh, in an easy way, uh, especially if you have to, uh, have systems for remote. So, as, as I told you before about the, uh, network, as well as a white board, but also the computer infrastructure, it was VM-ware visualization and treated as a, as a sort of what we were designing with services either, either for interactive services or especially for, uh, scientific computing. For example, we have an experience with it and a good polarization of HPC workload. We start agents >>Talk to me about the storage impact, because as we know, we talk about, you know, these very demanding, unstructured workloads, AI machine learning, and that can be, those are difficult for most storage systems to handle the radio. Talk to us about why you leaned into all flash with Dell technologies and talk to us a little bit about the technologies that you've implemented. >>So, uh, if I, if I have to think about our, our storage infrastructure before the pandemic, I have to think about Iceland because our HPC workloads Moss, uh, mainly based off, uh, Isilon, uh, as a storage infrastructure, uh, together with some, uh, final defense system, as you can imagine, we were deploying in-house, uh, duty independently, especially with the explosion of the AI, with them, uh, blueprint of the storage requests change the law because of what we have, uh, uh, deal dens. And in our case, it was an, I breathed the Isilon solution didn't fit so well for HB for AI. And this is why we, uh, start with the data migration. That was, it was not really migration, but the sort of integration of the power scaler or flash machine inside our, uh, environment, because then the power scale, all flesh and especially, uh, IO in the future, uh, the MVME support, uh, is a key factor for the storage. It just support, uh, we already have experience as some of the, uh, NBME, uh, possibilities, uh, on the power PowerMax so that we have here, uh, that we use part for VDI support, uh, but off, um, or fleshly is the minimum land and EME, uh, is what we need to. >>Gotcha. Talk to me about what Dell technologies has seen the uptick in the demand for this, uh, as Maricio said, they were using Isilon before adding in power scale. What are some of the changing demands that, that Dell technologies has seen and how does technologies like how our scale and the F 900 facilitate these organizations being able to rapidly change their environment so that they can utilize and extract the value from data? >>Yeah, no, absolutely. What occupational intelligence is an area that, uh, continues to amaze me. And, uh, personally I think the, the potential here is immense. Um, uh, as Maurizio said, right, um, the, the data sets, uh, with artificial intelligence, I have, uh, grown significantly and, and not only the data has become, um, uh, become larger the models, the AI models that, that we, that are used have become more complex. Uh, for example, uh, one of the studies suggests that, uh, the, uh, that for a modeling of, uh, natural language processing, um, uh, one of the fields in AI, uh, the number of parameters used, could exceed like about a trillion in, uh, in a few years, right? So almost a size of a human brain. So, so not only that means that there's a lot of fear mounted to be, uh, data, to be processed, but, uh, by, uh, the process stored in yesterday, uh, but probably has to be done in the same amount of Dinah's before, perhaps even a smaller amount of time, right? So a larger data theme time, or perhaps even a smaller amount of time. So, absolutely. I agree. I mean, those type of, for these types of workloads, you need a storage that gives you that high-performance access, but also being able to store the store, that data is economically. >>And how does Dell technologies deliver that? The ability to scale the economics what's unique and differentiated about power skill? >>Uh, so power scale is, is, is our all flash, uh, system it's, uh, it's, uh, it's bad users, dark techno does some of the same capabilities that, uh, Isilon, um, products use used to offer, uh, one of his fault system capabilities, some of the capabilities that Maurizio has used and loved in the past, some of those, some of those same capabilities are brought forward. Now on this spar scale platform, um, there are some changes, like for example, on new Parscale's platform supports Nvidia GPU direct, right? So for, uh, artificial intelligence, uh, workloads, you do need these GPU capable machines. And, uh, and, uh, Parscale supports that those, uh, high high-performance Jupiter rec machines, uh, through, through the different technologies that we offer. And, um, the Parscale F 900, which should, which we are going to launch very soon, um, um, is, is, is our best hype, highest performance all-flash and the most economic allowed slash uh, to date. So, um, so it is, um, it not only is our fastest, but also offers, uh, the most economic, uh, most economical way of storing the data. Um, so, so ideal far for these type of high-performance workloads, like AIML, deep learning and so on. Excellent. >>So talk to me about some of the results that the university is achieving so far. I did read a three X improvement in IO performance. You were able to get nearly a hundred percent of the curriculum online pretty quickly, but talk to me about some of the other impacts that Dell technologies has helping the university to achieve. >>Oh, we had, uh, we had an old, uh, in all the Dell customer, and if you, uh, give a Luca walk, we have that inside the insomnia, our data centers. Uh, we typically joking, we define them as a sort of, uh, Dell technologies supermarket in the sense that, uh, uh, degreed part of our, our servers storage environment comes from, uh, from that technology said several generations of, uh, uh, PowerEdge servers, uh, uh, power, my ex, uh, Isaac along, uh, powers, Gale power store. So we, uh, we are, uh, um, using a lot of, uh, uh, Dell technologies here, here, and of course, uh, um, in the past, uh, our traditional, uh, workloads were well supported by that technologies. And, uh, Dell technologies is, uh, uh, driving ourselves versus, uh, the, what we call the next generation workloads, uh, because we are, uh, uh, combining gas, uh, in, um, in the transition of, uh, um, uh, the next generation of computing there, but to be OPA who, uh, to ask here, and he was walked through our research of looking for, cause if I, if I have to, to, to, to give a look to what we are, uh, doing, uh, mostly here, healthcare workloads, uh, deep learning, uh, uh, data analysis, uh, uh, image analysis in C major extraction that everything have be supported, especially from, uh, the next next generation servers typically keep the, uh, with, with GPU's. >>This is why GPU activities is, is so important for answer, but also, uh, supported on the, on the, on the networking side. But because of that, the, the, the speed, the, and the, of the storage, and must be tired to the next generation networking. Uh, low-latency high-performance because at the end of the day, you have to, uh, to bring the data in storage and DP. Can you do it? Uh, so, uh, they're, uh, one of the low latency, uh, uh, I performance, if they're connected zones is also a side effect of these new work. And of course that the college is, is, is. >>I love how you described your data centers as a Dell technologies supermarket, maybe a different way of talking about a center of excellence question. I want to ask you about, I know that the university of PISA is SCOE for Dell. Talk to me about in the last couple of minutes we have here, what that entails and how Dell helps customers become a center of excellence. >>Yeah, so Dell, um, like talked about has a lot of the Dell Dell products, uh, today, and, and, and in fact, he mentioned about the pirate servers, the power scale F 900 is, is actually based on a forehead server. So, so you can see, so a lot of these technologies are sort of in the linked with each other, they talk to each other, they will work together. Um, and, and, and that sort of helps, helps customers manage the entire, uh, ecosystem lifecycle data, life cycle together, versus as piece parts, because we have solutions that solve all aspects of, of, of the, uh, of, of, uh, of our customer like Mauricio's needs. Right. So, um, so yeah, I'm glad Maurizio is, is leveraging Dell and, um, and I'm happy we are able to help help more issue or solve solve, because, uh, all his use cases, uh, and UN >>Excellent. Maricio last question. Are you going to be using AI machine learning, powered by Dell to determine if the tower of PISA is going to continue to lean, or if it's going to stay where it is? >>Uh, the, the, the leaning tower is, uh, an engineering miracle. Uh, some years ago, uh, an engineering, uh, incredible worker, uh, was able, uh, uh, to fix them. They leaning for a while and let's open up the tower visa, stay there because he will be one of our, uh, beauty that you can come to to visit. >>And that's one part of Italy I haven't been to. So as pandemic, I gotta add that to my travel plans, MERITO and Kaushik. It's been a pleasure talking to you about how Dell is partnering with the university of PISA to really help you power AI machine learning workloads, to facilitate many use cases. We are looking forward to hearing what's next. Thanks for joining me this morning. Thank you for my guests. I'm Lisa Martin. You're watching the cubes coverage of Dell technologies world. The digital event experience.

>> Live from Las Vegas. It's the Cube covering Adobe Summit twenty nineteen brought to you by extension for interactive. >> Hey, welcome back it when Cube live coverage here in Las Vegas are doubly. Summit twenty nineteen. I'm John Murray with Jeffrey, my coz this week. Two days of wall to wall coverage. Our next guest is Glenn Hartman. North America lied for a censure Interactive. Thanks for joining us. Hey, thanks for having me. Great beer. So you guys are doing some great stuff around the creativity, peace, doing great customer experience. Implement taste. We have a great walk through from a lot of the folks from your organization. You're designing up ideas and products, delivering them and then operating them. Nice model. Yeah, thanks. Is that your business model that has network, What century? Interactives business model. I mean center and >> really about one thing. It's about creating, delivering and running the best experiences on the planet. We help our clients do that for their own customers. And when >> we talk about experience, a lot of people have different definitions for that, especially at the conference here. It's not necessarily an experience of a website or a mobile app or u X is people use it. It's really anyway, a brand engages with a customer. It's not just marketing. Either it could be sales or customer service loyalty. Anything anyway. A brand promise can be delivered. Teo to customers. One of things that I've noticed with you guys is that it's a talk track and thought leaders around a new creative and new creativity. And Toby honestly with software that they haven't now the cloud you're seeing in the marketplace. We saw this at Sundance two years ago. A new kind of creative is, um, organically coming into the marketplace with more channels to direct to consumer, whether it be to be or be to see you and now have new kinds of mechanisms to take product, whether it's APS or content or movies, You start to see this democratization really starting to happen. How is that changing? How you guys helped us is because now they now have new capability. They can tell their story in a different way. They have access to new kinds of channels that weren't there before. How is that changing the business, in your opinion, die in a profound way? So I mean, everybody knows that marking is inextricably linked >> to technology and data. Everybody knows that. But when >> we are thinking about the new, creative and own ways that you can tell stories and create experiences. We look at experience very differently. I mentioned before that it was all about all the different touch points in the ways people interact with the brand. But when we look at experience, we call it the Big E. And the biggie actually stands for empathy. And it's understanding how to define what a brand experience means to that customer and defining success in terms of that customer. And you know, Jeff and John, you guys air not to find by your data set or what you bought last week. You could be very different types of people in different situations and understanding ways to empathize with you in the moment and having experiences change in the moment and having creative play, a part of that and data play. A part of that is the big hot. It's a new way of looking at things, and the last part of that, too. And the big is about emotion. So when you have a big brand that has some emotional connection, you know you love this brand for an automotive or you love this hotel chain or there's some brand a connection you have. How do you have that connection flow through every touch? Point and data and technology can enable that. But it's really empathy and emotion. That's the driver. How do you get empathy and creativity to work together? Because you now have an accelerant with data you mentioned getting to know people's empathizing with them in the moment it's contextual. I could be having a great day or a bad day or driving my kids to school of whatever's going on with me. It certainly there might be some data out. How do you get the creativity and the empathy to work together in your mind? You see that appointment? That's the nice parties. More than ever, we have different data sets that can help us do that. Just give you a couple of examples. Um, instead of understanding how to market >> to someone so they'LL buy the next product on basing. That may be on their demographic, maybe basing it on their preferences. You've hear all these terms and marketing for years, and you can understand what they bought. >> Instead of understanding that, why don't we try and look and use data which you could easily do today to understand why they bought something so it could be something as simple as like a I don't know, Cpg example. Maybe have shampoo and you could say, Well, they bought these kinds of things before, So maybe they'LL buy that champion. But if they know that, you know, maybe Jeff is equal friendly are John. Maybe you're more into things that maybe you buy that shampoo because you care about animals and they know they don't test them on animals. Or maybe it's something more about experience that that particular shampoo won't make your daughter cry when you ship your her hair. And it helps that experience that that's the reason why it actually helps me. You're empathizing in the moment with something that is meaningful that you care >> about. It's not about a better deal or >> better price or some kind of feature. It's something actually about you more meaningful, much very meaningful interaction. Data set is that because there's no data before, is it more? There's more signals, potentially to get exposed to that, because that's a hard data points to get. I mean, to find the why is a holistic kind of perspective. It's true, but I mean, I think it's more of a mind set. The date is there, but the mind set has been different. Over time, people were looking to technology every buzz word in the world use big data and personalization. Aye, aye. And then now it's a I and machine learning and like, Well, that's great. And they're all wonderful enablers, as I said, but it has to be driven by empathy first. So it all starts. >> I mean, we've been saying this forever customer, centrist city and a customer >> concerts. But really, I mean, for real. If you start to use those data sets, aunt have the mindset has to be a c M. O. R. A brand manager is someone who actually it's advocating for the customer, and they're willing to say, No, I don't need big data. I don't need all the data. I need this gold nugget part so I can speak to John. >> It's interesting plate, as you say, the emotional part of the biggie. Also, I think it is the old Coke commercial, right raw one world together, and we all cry and there's some great McDonald's commercials, right when you talk about you think beyond that to the to the empathy. I can't help but think of kind of the whole purpose. Purpose driven, mission driven companies. You know, kids coming out of college want to work for mission driven, cos we heard it over and over. And the key notes, you know, we're not a product company, not even really a service company. But we're committed to two, an ideal to the mission. Beep. Be partners with us, be our customer. Let's have a relationship that goes so much deeper and longer than any particular transaction is that kind of that tied it, that that is a part of it? >> Absolutely. Now, the interesting thing of what you said is that people are >> tied to a purpose and maybe something that's meaningful in a broad sense, absolutely. And that's a wonderful place to start. And you can start to align products and services in that way, >> the way he talked about, like, shampoo and, you know, animal testing, right? Well, >> it's a good one, but the next one is really getting a little bit Mohr down to you. So I think all that is great, but really understand what you need in the moment, because what happens is it. Some of those things may change if you are shopping at a grocery store every >> Saturday for your family and you're used to doing down your attitude. There might be different then when >> you're shopping, when your kid is sick and you got pulled out of work and you got to get there to get the prescription, you're into speed and your stress in the moment they're versus. Maybe >> on Saturday you're like all try some new coupons and try some new things and go by. The little tasting >> station is actually behaviors that you want to understand in the moment. That is a big part of that as well. But the key thing to hear is, let's think of this when you deal with empathy. It's not just getting to know all those things. Even if it gets to that level, it's actually changing the way marketers think about talking to communicating and relating to customers even the language that they use. I mean, think of it >> today. I mean, >> still, people use marketers are their marketing to people. It's, uh, that's acquire customers. Let's convert wind developers over good. We don't win their helpers over. And what was the last time you guys were real excited about getting converted? Okay, it's not a fun experience, right? So if you even changed, I might send you say, Let's market with someone or let's let's help them. You actually create experiences that are useful and helpful not about conversion and not a business metric. But success is defined by the customer. How are you guys playing this? Because this is really kind of ties on multiple threads. I mean, the whole nother community angle to people belong to communities in context to their life. And they engage. And when they engage his emotional connection to a group of this and some cohorts is the worker. Thank you. Okay, groups. But they're friends and colleagues, or whatever could be you guys were. The point is, with customers, take us through a use case day in the life of empathy, deployed into how you guys do business with the big Branson and one of the success. How do you make it happen? What's the engagement look like? How does someone do this? So they just wake up one morning, say Okay, I'm gonna have more empathy. They also call you guys up. What happens? Like what? Take us through What? Certain evidence was made in the slide. I could give you >> a little bit of it. An example of how stars we've been talking a little bit more dramatically about sick kids and testing on pets and animals and things like that. Not testing the pets. Can you imagine? I'd really be >> horrible. But single graphic of the users individual personal things is hard, right? So? Well, I mean, the whole point of this is that when you really get into the mechanics of how this works, I'll give you an >> example. It's a little bit less dramatic. OK, so it's a telecommunications company. Telco company. That's selling. You guys know what? Triple play? Yeah. Okay, So you have It's >> a cable and a phone, right? All it's it's like a commodity product writers. There's no emotional thing necessarily. But in that game, if you can just optimize certain parts of the journey, you can make a big difference, right so way got a benign request from a marketer. Teo say, Listen, we do a lot of paid search. Can you help us with this one product? Just if you move it even like one percent, it would be significant to the company. But when? So okay, we'LL do that, >> and it worked out. We go in and help them do their >> search. But because we're thinking about experience in a broader sense for so well, let's let's do it more. Let's make them be able to transact or engage in multiple ways. Well, you could. You could sign up for the service to email. Or maybe there's click to call or click to chat. Or you could even walk into a branch and do it there. Maybe through the call centre, right? It's what's all that's working together on the channel, though fun words you want easy. You're leveraging >> different technologies to do it and people, >> so the way this worked was you were coming in through search and then eventually a lot of them were converting in the call center. So it was all working. And you think that's great? Well, it wasn't great to the company at all. They were very upset. The people that we're buying the media, we're really bummed because they couldn't get the attribution of the credit for the thing was in the call center. So they came over the great idea. They said, OK, take the phone number off and take the the click to call off and will force the >> customer to convert in. Our channel, of >> course, is a brilliant company with great people and rational thinking prevailed and they didn't do that. But they said, Well, what do we do? I said, Well, you're going to eat and multi attribution model to be able to help you do that, Okay, but that's not enough because you also need a new sales incentive and commission structure inside the call center because those people are getting pit on that. But since it's such a low commodity product, that's not gonna work to change. That's that's a new sales kind of thing, then you wait. They can't talk for another three seconds to that person because you'LL bring the margins on. You got to get him back. All the turtleneck just screwed up. That's right. So there's a new business process is now a new operating model whose skills to get him back into the general. So all of a sudden it's benign. Request from a marketing team taken, you optimize my paint search becomes new business transformation. Okay, now, because that brand manager had the guts to say I'm going to advocate for this customer. This customer wants to come in through this channel. They want to convert over here, and we're gonna actually change the operating model, the sales structure to call the sales lead. I had to call the CFO on the CEO, and we're gonna make this happen, Gonna change the way we do business on behalf of that customer. That is weight world, I could tell you we see this all the time and marketers all the time that there's so married to their website analytics funnel that that's all about who gets credit coded earls and the customer experience is a brutal. It's like I'm not here on other sites are all over the place. I don't really need to go the site every day, right? Somebody only go there when Otto and the thing we were talking about before. If you're grocery shopping >> and Europe's have set on Tuesday and you want to get off >> for your kid at versus the nice leisurely thing we talked about on the weekend, there's a whole nother set of outcomes in Cape Yas you have to deal with. If you went into that supermarket on Tuesday and they figured out a way to get you in and out fast and just get those two or three autumns, you need it for your kid. That's a failed trip. According to the grocery industry. You need to be in there longer they want, so you stay in the back. That's right. Totally. That breaks the whole model, but it's wonderful for you. You'LL shop there forever because of that experience, what you're getting at the Morrises air, changing the business models of cos that's the bottom line. You're at the center. That could be a driver for the transformation. That's it. Empathy. Is the driver Absolutely no. You need to have the emotional connection to all that stuff to help also internally see emos. I don't need to just be relevant and customers that need to be relevant to the enterprise. They need to be relevant to the CEO, Doc in seconds and hear the screaming and kicking and screaming right now. Glenn, that's great. But man, that's a heavy lift way could do it. How do you How do you get it? Because now I can see a cultural reaction. The antibodies will come out and attack that notion because it's scary because now, like, whoa, yeah, well, I mean, it is hard, but the good news is, is that we see, even at this conference, and a lot of our clients are coming over to do that this incremental ways to get there. But I'll make it simple. So the advantages are we said this new technology, new data that allow you to do some of this stuff right? That's great. And you can see a lot of them consolidating, right? A lot of the stacks all now have content and analytics and commerce and all that, and in this nice ways that they come together and that consolidation can help, and there's other ones that can handle different data sets, and that helps to his automation. And but the thing is that what people miss is one of the ways to accelerate this is add a human centered approach to how you actually create the experience internally. And what I mean is, it's not enough to consolidate the data and figure out that Gold nugget and not enough to do with technology have to do with humans. It's a human centered approach, so we're bringing in integrated teams of humans that are pulling all the stuff together. It's someone who understands strategy. Maybe someone understands creative when it hit me in the club, basically their prime in the pump getting it. But they will sit together. They sent to get the analytics. People sit next to the creative people. It's in next you people. They work on it as they designed the experience. You don't do a strategy project and then do a A road map and then do an R P for technology enabled Waterfall does not work, but it's beyond even waterfall versus algebra. This is actually taking humans and consolidate that thinking New skill sets at the center in like an incubator way to do pilots to do prototyping to do things. If you want to create that new experience that we're talking about in any of these cases, you gotta hand CMO some kind of thing that can bring to the team and say, Look, here's an app that would enable this or he has a pilot We could try without boiling the ocean toe, actually create an experience that would move the needle or whatever. Lame corporate analogy. Just make more money and get some decent results in Get a beachhead, just small eatery through it. Glenn. Great Insights. This is a great time. We'd love to get you back on the Cuban girl down, and it's kind of design thinking, combined with execution on the front lines with customers. Center the value proposition. Great conversation before we and just give a quick plug for the business. What's going on with a sensor Interactive? How's the business going? What are your goals? How many people are working there? What's the geography is looked like? Give us enough. Thanks for asking So essential Interactive is enjoying its third year as being listed by at H magazine, is the largest digital agency in the world on the fastest growing Wei have coverage and a truly integrated global delivery model that hits every part of the of every market. And we're so excited. Tio have this growth because it's a way to show that the market is truly interested and being experienced lead and the way we're defining experience. We're seeing more and more clients moving from some of these incremental changes to really >> try to put the customer at the center of what they're doing. And, you know, X Ensure Interactive believes in this model it is. It's very much in some ways way. Call it a new kind of provider, like an experience agency for lack of a better term. TTO help companies drive that transformation, and it's >> done with people and technology, and we're been on a tear recently. Most are growth is organic, but we also do lots and lots of acquisitions to make these capabilities come together. All the creativity and the design and the strategy and the techniques and the run of it is all in one integrated team, and that is very, very helpful when you're trying to do some of the things we've been talking about and you're you guys. I think I'm the right way. This customer wave is really, really because with digital customers air in charge, they control their data. They're now going to shift is happening. We're starting to see some visibility into it. It was going to impact the economics process and business models, so I think it's just beginning. Congratulations really is thanks. And we're so excited because some of the >> client successes it's truly transformational somethings. You got it. Carnival or Marriott or or Subway. I >> mean, it's a whole different >> kind of way of looking at experience, and it's >> really helping people. It's not just for its good for the business, but we're really changing people's lives and helping have experiences be meaningful. It's been wonderful and fun for us. Glenn, Thanks so much for sharing this insights here in the Cube. Hey, thanks for going the data Here live adobe summat. Twenty nineteen, Jumper, jefe Rick, Stay tuned for more coverage after this short break

>> Live from London, England, it's The Cube, covering .NEXT Conference Europe 2018. Brought to you by Nutanix. >> The Cube at Nutanix .NEXT 2018 in London. It might be a little cold, blistery, and rainy outside, but it's nice and dry and warm in here. Digging into all the technology in the ecosystem, I'm Stu Miniman, co-host is Joep. Happy to welcome to the program, first-time guest Anthony Daloyau, who is the head of Alliance for SEU for Capgemini. Anthony, thank you so much for joining us. >> Thank you very much. >> Alright, so we're quite familiar with Capgemini. Many partners, definitely doing a lot in the Cloud for many years now. About two years ago, my understanding, is when you started working with Nutanix. Tell us what brought that to have you add that into the offerings. >> At Capgemini, we are continuously, carefully curate a global ecosystem of technology and business player, and also startup to provide our clients with access to the latest thinking technology, and experiences across all activity sector. And went on to realize value from this ecosystem. For each client, we adopt independent posture to identify on a case-by-case basis those partners that prefer the best of great internal solution and to be sure we can response to each challenge from our questioner. When it comes to Capgemini cloud infrastructure offering as part of the development of the hybrid cloud services we made some years ago, we need a partner with the widest possible openness in terms of the (mumbles) solution, (mumbles) support and although on the spot servers. Two years ago, as you know, the technology were not as developed as today but Nutanix had already some wider branch of functionalities, more than it's competition. It's why we made this show two years ago was clearly the main difference between Nutanix and the other one. >> So looking at Nutanix, they're a big company now, they have a lot of products. So can you tell us a little bit about the use cases that you use at Nutanix for your customers. >> The first case where we use ourself, the Nutanix solution to the customer is obviously the private cloud. As part of the (mumbles) strategy we made. The second one is the VDI project. We have a lot of references or successes on the VDI with Nutanix transistors and most simply, we tripled the Nutanix solution to replace the traditional intra-server storage and it allows us to add more agility, more simplicity in the software, define at a central model. >> So you're talking about data center, you're talking about VDI, that's traditional on-prem workloads. So maybe to to add a little bit about the transition from on-prem into the public cloud and how do you define which applications go where, which do you leave on-prem, which go to the cloud. Does Capgemini have a solution for that, how does that work? >> We developed a few years ago tools named EAPM, the acronym is economical application portfolio management. EAPM is part of the global approach to merge the information system and to define and to build a trajectory to the public cloud, to the private cloud but also the digital transformation globally to the (mumbles) cloud. We took the information from the CMDB but also from the data sensitivity, the different floors, the dynamics of the application and we define in three decision model how we can go to the different platform. Of course the public cloud is a target, but we can define to go to Yas Pas, private, public, on-site, on-prem and the last project we made, we're using the APM. We discover that there is not yet 100% to the direction of the public cloud. Some application (mumbles) need still to have something in private mode and of course we use Nutanix to (mumbles) which is a (mumbles). >> So Nutanix is not been sitting still. The last few years, they've really expanded their offering. I believe I heard it was like two years ago, they basically had two products. Today they have over 14, they've done MNA, they laid out a road map of innovation. What is exciting your team, what do you expect to take with that and work with your customers over the next couple of quarters? >> Nutanix is one of the software details. We understand how and why it adds value to work with a system integrator like Capgemini. So the first thing we expect is to continue to develop our offer based on the Nutanix technology and we hope they will maybe, this year, next year, develop a dedicated program for (mumbles) like Cap because two days I have programmed for the classic, traditional reseller from big player, not yet for the adversarial. I think it's the first point. The second point, I expect they continue to support us on develop offer, on top of their products and the last one is, we saw a lot of new, or a lot of new functionalities that we expect they continue to develop on the orchestration or segmentation on network and so on and so on. For us, globally, the best and important part now, because the global platform able to understand it, able to standardize it and for us, it's very, very important. >> Alright, so Anthony, what are the questions people have all the time is how do I keep up and one of the answers I have today is look, you have to have partners that you could turn to. Both the technology partners and very importantly, the system integrator partners are one of the real ways. How does Capgemini differentiate, how are you helping customers with this journey to keeping up into the cloud and beyond. The main point is we start from the application. A lot of time we think our competitor is nothing. The question about the cloud, which is a requisitory, public, private, now the real question is, how can I move my application, where can I put the application. So I think the main differentiator from Capgemini about the competition, we take an advantage of EAPM, or own tool to define with the application where we want to go, where we can go. >> Alright, well Anthony, really appreciate the updates. Congratulation for the progress, we look forward to keeping an eye on where things go. Alright, be sure to stay with us. Full day of coverage here Nutanix .NEXT 2018 in London. Thank you for watching The Cube. (light electronic music)