>>Good morning. Good afternoon. Good evening, everyone. I should thank Entity Research and the Oshie for putting together this program and also the opportunity to speak here. My name is Al Gore ism or Andy and I'm from Caltech. And today I'm going to tell you about the work that we have been doing on networks off optical parametric oscillators and how we have been using them for icing machines and how we're pushing them toward Cornum. Photonics should acknowledge my team at Caltech, which is now eight graduate students and five researcher and postdocs as well as collaborators from all over the world, including entity research and also the funding from different places, including entity. So this talk is primarily about networks of resonate er's and these networks are everywhere from nature. For instance, the brain, which is a network of oscillators all the way to optics and photonics and some of the biggest examples or meta materials, which is an array of small resonate er's. And we're recently the field of technological photonics, which is trying thio implement a lot of the technological behaviors of models in the condensed matter, physics in photonics. And if you want to extend it even further. Some of the implementations off quantum computing are technically networks of quantum oscillators. So we started thinking about these things in the context of icing machines, which is based on the icing problem, which is based on the icing model, which is the simple summation over the spins and spins can be their upward down, and the couplings is given by the G I J. And the icing problem is, if you know J I J. What is the spin configuration that gives you the ground state? And this problem is shown to be an MP high problem. So it's computational e important because it's a representative of the MP problems on NPR. Problems are important because first, their heart in standard computers, if you use a brute force algorithm and they're everywhere on the application side. That's why there is this demand for making a machine that can target these problems and hopefully it can provide some meaningful computational benefit compared to the standard digital computers. So I've been building these icing machines based on this building block, which is a degenerate optical parametric oscillator on what it is is resonator with non linearity in it and we pump these resonate er's and we generate the signal at half the frequency of the pump. One vote on a pump splits into two identical photons of signal, and they have some very interesting phase of frequency locking behaviors. And if you look at the phase locking behavior, you realize that you can actually have two possible face states as the escalation result of these Opio, which are off by pie, and that's one of the important characteristics of them. So I want to emphasize >>a little more on that, and I have this mechanical analogy which are basically two simple pendulum. But there are parametric oscillators because I'm going to modulate the parameter of them in this video, which is the length of the strength on by that modulation, which is that will make a pump. I'm gonna make a muscular. That'll make a signal, which is half the frequency of the pump. >>And I have two of them to show you that they can acquire these face states so they're still face their frequency lock to the pump. But it can also lead in either the zero pie face state on. The idea is to use this binary phase to represent the binary icing spin. So each Opio is going to represent spin, which can be >>either is your pie or up or down, >>and to implement the network of these resonate er's. We use the time off blood scheme, and the idea is that we put impulses in the cavity, these pulses air separated by the repetition period that you put in or t R. And you can think about these pulses in one resonator, xaz and temporarily separated synthetic resonate Er's If you want a couple of these resonator is to each other, and now you can introduce these delays, each of which is a multiple of TR. If you look at the shortest delay it couples resonator wanted to 2 to 3 and so on. If you look at the second delay, which is two times a rotation period, the couple's 123 and so on. If you have any minus one delay lines, then you can have any potential couplings among these synthetic resonate er's. And if I can introduce these modulators in those delay lines so that I can strength, I can control the strength and the phase of these couplings at the right time. Then I can >>have a program. We'll all toe all connected network in this time off like scheme. >>And the whole physical size of the system scales linearly with the number of pulses. So the idea of opium based icing machine is didn't having these o pos. Each of them can be either zero pie, and I can arbitrarily connect them to each other. And then I start with programming this machine to a given icing problem by just setting the couplings and setting the controllers in each of those delight lines. So now I have a network which represents an icing problem thin the icing problem maps to finding the face state that satisfy maximum number of coupling constraints. And the way it happens is that the icing Hamiltonian maps to the linear loss of the network. And if I start adding gain by just putting pump into the network, then the OPI ohs are expected to oscillating the lowest, lowest lost state. And, uh and we have been doing these in the past, uh, six or seven years and I'm just going to quickly show you the transition, especially what happened in the first implementation which was using a free space optical system and then the guided wave implementation in 2016 and the measurement feedback idea which led to increasing the size and doing actual computation with these machines. So I just want to make this distinction here that, um the first implementation was on our optical interaction. We also had an unequal 16 implementation and then we transition to this measurement feedback idea, which I'll tell you quickly what it iss on. There's still a lot of ongoing work, especially on the entity side, to make larger machines using the measurement feedback. But I'm gonna mostly focused on the all optical networks and how we're using all optical networks to go beyond simulation of icing. Hamiltonian is both in the linear and >>nonlinear side and also how we're working on miniaturization of these Opio networks. So >>the first experiment, which was the four Opium machine it was a free space implementation and this is the actual picture of the machine and we implemented a small and it calls for Mexico problem on the machine. So one problem for one experiment and we ran the machine 1000 times, we looked at the state and we always saw it oscillate in one of these, um, ground states of the icing laboratoria. Yeah, so then the measurement feedback idea was to replace those couplings and the controller with the simulator. So we basically simulated all those coherent interactions on on FB g A. And we replicated the coherent pulse with respect to all those measurements. And then we injected it back into the cavity and on the near to you still remain. So it still is a non. They're dynamical system, but the linear side is all simulated. So there are lots of questions about if this system is preserving important information or not, or if it's gonna behave better Computational wars. And that's still ah, lot of ongoing studies. But nevertheless, the reason that this implementation was very interesting is that you don't need the end minus one delight lines so you can just use one, and you can implement a large machine, and then you can run several thousands of problems in the machine, and then you can compare the performance from the computational perspective. Looks so I'm gonna split this idea of opium based icing machine into two parts One is the linear part, which is if you take out the non linearity out of the resonator and just think about the connections. You can think about this as a simple matrix multiplication scheme, and that's basically >>what gives you the icing Hamiltonian model A. So the optical loss of this network corresponds to the icing Hamiltonian. >>And if I just want to show you the example of the n equals for experiment on all those face states and the history Graham that we saw, you can actually calculate the laws of each of those states because all those interferences in the beam splitters and the delay lines are going to give you a different losses. And then you will see that ground states corresponds to the lowest laws of the actual optical network. If you add the non linearity, the simple way of thinking about what the non linearity does is that it provides to gain, and then you start bringing up the gain so that it hits the loss. Then you go through the game saturation or the threshold which is going to give you this phase bifurcation. >>So you go either to zero the pie face state, and the expectation is that this the network oscillates in the lowest possible state, the lowest possible loss state. >>There are some challenges associated with this intensity Durban face transition, which I'm going to briefly talk about. I'm also going to tell you about other types of non their dynamics that we're looking at on the non air side of these networks. So if you just think about the linear network, we're actually interested in looking at some technological behaviors in these networks. And the difference between looking at the technological behaviors and the icing uh, machine is that now, First of all, we're looking at the type of Hamilton Ian's that are a little different than the icing Hamilton. And one of the biggest difference is is that most of these technological Hamilton Ian's that require breaking the time reversal symmetry, meaning that you go from one spin to on the one side to another side and you get one phase. And if you go back where you get a different phase, and the other thing is that we're not just interested in finding the ground state, we're actually now interesting and looking at all sorts of States and looking at the dynamics and the behaviors of all these states in the network. So we started with the simplest implementation, of course, which is a one d chain of thes resonate er's which corresponds to a so called ssh model. In the technological work, we get the similar energy to los mapping. And now we can actually look at the band structure on. This is an actual measurement >>that we get with this associate model and you see how it reasonably how how? Well, it actually follows the prediction and the theory. >>One of the interesting things about the time multiplexing implementation is that now you have the flexibility of changing the network as we were running the machine. And that's something unique about this time multiplex implementation so that we can actually look at the dynamics. And one example >>that we have looked at is we can actually go to the transition off going from top a logical to the to the standard nontrivial. I'm sorry to the trivial behavior of the network. >>You can then look at the edge states and you can also see the trivial and states and the technological at states actually showing up in this network. We have just recently implement on a two D, >>uh, network with Harper Hofstadter model when you don't have the results here. But we're one of the other important characteristic of time multiplexing is that you can go to higher and higher dimensions and keeping that flexibility and dynamics. And we can also think about adding non linearity both in a classical and quantum regimes, which is going to give us a lot of exotic oh, classical and quantum, non innate behaviors in these networks. >>So I told you about the linear side. Mostly let me just switch gears and talk about the nonlinear side of the network. And the biggest thing that I talked about so far in the icing machine is this phase transition, that threshold. So the low threshold we have squeezed state in these Oh, pios, if you increase the pump, we go through this intensity driven phase transition and then we got the face stays above threshold. And this is basically the mechanism off the computation in these O pos, which is through this phase transition below to above threshold. So one of the characteristics of this phase transition is that below threshold, you expect to see quantum states above threshold. You expect to see more classical states or coherent states, and that's basically corresponding to the intensity off the driving pump. So it's really hard to imagine that it can go above threshold. Or you can have this friends transition happen in the all in the quantum regime. And there are also some challenges associated with the intensity homogeneity off the network. Which, for example, is if one Opio starts oscillating and then its intensity goes really high. Then it's going to ruin this collective decision making off the network because of the intensity driven face transition nature. So So the question is, can we look at other phase transitions? Can we utilize them for both computing? And also, can we bring them to the quantum regime on? I'm going to specifically talk about the face transition in the spectral domain, which is the transition from the so called degenerate regime, which is what I mostly talked about to the non degenerate regime, which happens by just tuning the phase of the cavity. And what is interesting is that this phase transition corresponds to a distinct phase noise, behavior So in the degenerate regime, which we call it the order state. You're gonna have the phase being locked to the phase of the pump as I talked about in the non the general regime. However, the phase is the phase is mostly dominated by the quantum diffusion off the off the phase, which is limited by the so called shallow towns limit and you can see that transition from the general to non degenerate, which also has distinct symmetry differences. And this transition corresponds to a symmetry breaking in the non degenerate case. The signal can acquire any of those phases on the circle, so it has a you one symmetry. And if you go to the degenerate case, then that symmetry is broken and you only have zero pie face days I will look at So now the question is can utilize this phase transition, which is a face driven phase transition and can we use it for similar computational scheme? So that's one of the questions that were also thinking about. And it's not just this face transition is not just important for computing. It's also interesting from the sensing potentials and this face transition. You can easily bring it below threshold and just operated in the quantum regime. Either Gaussian or non Gaussian. If you make a network of Opio is now, we can see all sorts of more complicated and more interesting phase transitions in the spectral domain. One of them is the first order phase transition, which you get by just coupling to oppose. And that's a very abrupt face transition and compared to the to the single Opio face transition. And if you do the couplings right, you can actually get a lot of non her mission dynamics and exceptional points, which are actually very interesting to explore both in the classical and quantum regime. And I should also mention that you can think about the cup links to be also nonlinear couplings. And that's another behavior that you can see, especially in the nonlinear in the non degenerate regime. So with that, I basically told you about these Opio networks, how we can think about the linear scheme and the linear behaviors and how we can think about the rich, nonlinear dynamics and non linear behaviors both in the classical and quantum regime. I want to switch gear and tell you a little bit about the miniaturization of these Opio networks. And of course, the motivation is if you look at the electron ICS and >>what we had 60 or 70 years ago with vacuum tube and how we transition from relatively small scale computers in the order of thousands of nonlinear elements to billions of non linear elements, where we are now with the optics is probably very similar to seven years ago, which is a tabletop implementation. >>And the question is, how can we utilize nano photonics? I'm gonna just briefly show you the two directions on that which we're working on. One is based on lithium Diabate, and the other is based on even a smaller resonate er's Did you? So the work on Nana Photonic lithium naive. It was started in collaboration with Harvard Marko Loncar and also might affair at Stanford. And, uh, we could show that you can do the >>periodic polling in the phenomenon of it and get all sorts of very highly non in your process is happening in this net. Photonic periodically polls if, um Diabate >>and now we're working on building. Opio was based on that kind of photonic lithium Diabate and these air some some examples of the devices that we have been building in the past few months, which I'm not gonna tell you more about. But the OPI ohs and the Opio networks are in the works, and that's not the only way of making large networks. But also I want to point out that the reason that these Nana photonic goblins are actually exciting is not just because you can make a large networks and it can make him compact in a in a small footprint, they also provide some opportunities in terms of the operation regime. On one of them is about making cat states in o pos, which is can we have the quantum superposition of >>the zero pie states that I talked about >>and the nano photonics within? I would provide some opportunities to actually get >>closer to that regime because of the spatial temporal confinement that you can get in these wave guides. So we're doing some theory on that. We're confident that the type of non linearity two losses that it can get with these platforms are actually much higher than what you can get with other platform, other existing platforms and to >>go even smaller. We have been asking the question off. What is the smallest possible Opio that you can make? Then you can think about really wavelength scale type resonate er's and adding the chi to non linearity and see how and when you can get the Opio to operate. And recently, in collaboration with us. See, we have been actually USC and Creole. We have demonstrated that you can use nano lasers and get some spin Hamiltonian implementations on those networks. So if you can't build a pos, we know that there is a path for implementing Opio Networks on on such a nano scale. So we have looked at these calculations and we try to >>estimate the threshold of a pos. Let's say for me resonator and it turns out that it can actually be even lower than the type of bulk Pippen O pos that we have been building in the past 50 years or so. >>So we're working on the experiments and we're hoping that we can actually make even larger and larger scale Opio networks. So let me summarize the talk I told you about the opium networks and >>our work that has been going on on icing machines and the >>measurement feedback on I told you about the ongoing work on the all optical implementations both on the linear side and also on the nonlinear behaviors. And I also told you >>a little bit about the efforts on miniaturization and going to the to the nano scale. So with that, I would like Thio stop here and thank you for your attention.

>> live from Miami Beach, Florida It's the que covering demon 2019. Brought to you, by the way, >> Welcome back to Vima on 2019 in Miami. Everybody, we're here at the Fountain Blue Hotel. This is Day two of our coverage of the Cube, the leader in live Tech. And I'm David Dante with Peter Bors. Pippen. Jay Raj is here. He's the vice president and CEO of Make A Wish America. Just that awesome foundation nonprofit people. Thanks for coming on the Cube. >> Thank you for having me appreciate it. >> So make a wish. Children with wishes and have terminal illnesses. You guys make them come true. It's just a great organizations. Been around for a long time, I think, since the early eighties, right, >> 39 years and going >> years and hundreds of thousands of wishes made. So just how did you get Teo make a wish that all come about >> it? It wasn't interesting journey. I was consulting in I t for multiple big companies. And, you know, two years back, it was through a recruiting channel that I got an opportunity to start some conversations as the CIA and make a wish. Uh, the thing that got me in the opportunity was predominately about enterprises and just to give you a little bit off, make official operations. Make a Wish was Founded and Phoenix, Arizona. And but we also operate a 60 chapters across the United States that it is 60 chapters each of the chapter there 501 C three companies themselves with the CEO and abort. Essentially, it is 60 plus one. The national team kind of managing. All of the chapters are helping the chapters. National does not do any wish. Granting all the wish planning happens to the chapters. But National helps the chapters with the distribution of funding models brand. And thanks for That's a couple of years back in the national board talked about in our dream and mission, which is granting every eligible child the notion ofthe enterprise. You know, working as an enterprise came into four and it being a great piece off providing shared services and thanks for that. So I was brought on board and we took on I would call as the leader today said and dashes dream off. Bringing together all the 60 chapters and the city chapter's essentially are split across 120 locations. So Wade took on a project off. You know, combining our integrating all of their infrastructure needs into one place. And Phoenix without ada, sent a provider. You know, we worked with a partner. Phoenix. Now fantastic partners >> there. We had them on the other day. >> Yep, yep. Yeah, MacLaren. I mean, and the team, they did a great job. And, you know, when we had to move all of the data, everything from the 60 chapters applications everything into a centralized data center, locations that we managed right now from Make a Wish National office and provide a service back to the chapters That gives you a little bit off. You know, from behind the scenes. What happened? >> You provide the technical overview framework for all the 60 chapters. >> It almost sounds like a franchise model. >> It's what we call a Federated model back in the nonprofit. >> But but but but because make a wish is so driven by information. Yep. Both in the application as well as the programs to deliver thie brand promise. And the brand execution has got to be very, very closely tied to the quality of a shared services you provide >> exactly. Exactly. And like I said, the reason I talked about them being a separate companies themselves is you know, as I always say to my 60 CEOs, Ah, I should be able to provide the services because they wanted, because they have a choice to go outside and have their own partner. Another thing for that which they can. But they would want to work with the national team and get my, you know, work through our services rather than having have to because of the very it's A. It's a big difference when it comes to, but I've been lucky on privileged to you have these conversations with the CEO's. When I start talking to them about the need for centralization, the enterprise society assed much, there are questions when he start leading with the mission and the business notion of why we need to do that, it's It's fantastic. Everybody is in line with that. I mean, there's no question, then, as toe Hey, guys, uh, let me do all the Operation Manisha fight and leave it to me and I'll in a handler for you, and I let you guys go to what you do best. which is granting wishes. So then it becomes it doesn't become a question off, you know, should be a shouldn't way. And of course, to back that up. But I was talking to the dean, folks, It just solutions. Like VMware, Veeam. It makes it much simpler even from a cost prospect. You not for me to manage a bigger team s so that I can take those dollars and give it back to the business to grant another wish. So it's it's pretty exciting that >> way. So you set the standards. Okay, here's what you know, we recommend and then you're you're saying that adoption has been quite strong. Yeah, I remember Peter. Don't say easy. I used to run Kitty Sports in my local town in which is small town. And there was, you know, a lot of five or six or seven sports, and I was the sort of central organization I couldn't get six sports to agree that high man is 60 different CEO's. But that's okay. So not easy. But so how were you able to talk leadership or leading as we heard from Gino Speaker today? How were you able to get those guys, you know, aligned with your vision. >> Uh, it's it's been fantastic. I've had a lot ofthe good support from our executive came from a leadership team because leadership is always very important to these big initiatives are National board, which comprises off some of the that stuff best leaders in America and I have the fortune toe be mentored by Randy Sloan, who used to be the CEO of Southwest. And before that, you see a global CEO for, uh, you know, Popsicle. You know, he always told me, but but I mean CIA job. One thing is to no the technology, but completely another thing. Toe building relationships and lead with the business conversation. And so a typical conversation with the CEO about Hey, I need to take the data that you have all the I t things that you have and then me doing it. And then there are questions about what about my staff and the's conversations. Because you know, it's a nonprofit is a very noble, nice feeling, and you wouldn't want the conversations about, you know, being rift and things like that are being reduced producing the staff and thinks of that. But you know as he walked through that and show the benefits of why we doing it. They get it. And they've been able to repurpose many off the I. D functions back in tow, revenue generation model or ofhis granting in our team. And in many cases, I've been ableto absolve some off their folks from different places, which has worked out fine for me, too, because now I have kind of a power user model across the United States through which I can manage all these 120 locations. It's very interesting, >> you know, site Reliable and Engineering Dev Ops talks about thie error budget or which is this notion of doo. You're going tohave errors. You're going to have challenges. Do you want it in the infrastructure you wanted the functions actually generating value for the business? I don't know much about Make a wish. I presume, however, that the mission of helping really sick kids achieve make achieve a wish is both very rewarding, very stressful. He's gotta be in a very emotional undertaking, and I imagine it part of your message them has got to be let's have the stress or that emotional budget be dedicated to the kids and not to the technology >> completely agree. That's that. That's been one of my subjects, as you asked about How is it going about? It's about having the conversation within the context of what we talked about business and true business. Availability of data. You know, before this enterprise project data was probably not secure enough, which is a big undertaking that we're going down the path with cyber security. And you know, that is a big notion, misplaced notion out there that in a non profits are less vulnerable. Nobody. But that's completely untrue, because people have found out that nonprofits do not probably have the securing of walls and were much more weight being targeted nonprofits as a whole, targeted for cyber security crimes and so on and so forth. So some of these that I used to, you know, quote unquote help or help the business leaders understand it, And once they understand they get it, they ableto, you know, appreciate why we doing it and it becomes the conversation gets much more easier. Other What's >> the scope of the size of the chapters is that is a highly variable or there is. >> It is highly variable, and I should probably said, That's Thesixty chapters. We look at it as four categories, so the cat ones are what we call the Big Ice, the Metro New Yorkers and Francisco Bay Area. They're called Category one chapters anywhere between 4 1 60 to 70 staff. Grant's close to around 700 wishes you so as Make a Wish America, we ran close toe 15,600 wishes a year, and cat ones do kind of close to 700 15,600 400 to 700. And then you get into care to scare threes and cat for scat force are anywhere between, you know, given example Puerto Rico or Guam territory there. Cat Force New Mexico is a cat for three staff members Gammas operated by two staff members and 20 volunteers. They grant about 3 2 20 12 to 15 which is a year, so it's kind of highly variable. And then, you know, we talk about Hawaii chapter. It's a great example. They cat once predominate because of the fact that you know, they they do. There's not a lot ofthe wishes getting originated from how I but you know, Florida, California and how your three big chapters with a grand are a vicious ist with a lot of grant, you know, wish granting. So there's a lot off, you know, traffic through those chapters >> so so very distributed on diverse. What's the relationship between data and the granting of wishes? Talk about the role of data. >> Should I? I was say this that in a and I probably race a lot of fibrosis and my first introductory session a couple of years back when I John make a wish with the CEO's uh, when we had the CEO meeting and talk to them about I leaders the days off making decisions based on guts are gone. It has to be a data driven decision because that's where the world is leading to be. Take anything for that matter. So when we talk about that, it was very imperative going back to my project that the hall we had all of the data in one place or a semblance off one single place, as opposed to 60 different places to make decisions based on wish forecast, for example, how many wishes are we going to do? How many wishes are coming in? How's the demand? Was the supply matching up one of the things that we need to do. Budget purposes, going after revenue. And thanks for that. So data becomes very important for us. The other thing, we use data for the wish journeys. Essentially, that's a storytelling. You know, when I you know, it was my first foray into for profit Sorry, nonprofit. And me coming from a full profit is definitely a big culture shock. And one of the things they ask us, what are we selling? Its emotions and story. And that's our data. That is what you know. That's huge for us if we use it for branding and marketing purposes. So having a good semblance off data being ableto access it quickly and being available all the time is huge for us. >> Yeah, and you've got videos on the site, and that's another form of data. Obviously, as we as we know here, okay. And then, from a data protection standpoint, how do you approach that? Presume you're trying to standardize on V maybe is way >> are actually invested in veeam with them for a couple of years right now, as we did the consolidation of infrastructure pieces Veeam supporters with all of the backup and stories replication models. Uh, we're thinking, like Ratmir talked about act one wi be a part of the journey right now, and we're looking at active. What that brings to us. One of the things that you know, dream does for us is we have close to 60 terabytes of data in production and close to another 400 terabytes in the back of things. And, uh, it's interesting when they look about look at me equation, you think about disaster recovery back up. Why do you need it? What? The business use cases case in point. This classic case where we recently celebrated the 10th anniversary ofthe back wish bad kid in San Francisco, we have to go back and get all the archives you know, in a quick fashion, because they're always often requests from the media folks to access some of those. They don't necessarily come in a planned manner. We do a lot of things, a lot of planning around it, but still there are, you know, how How did that come about? What's the story behind? So you know, there are times we have to quickly go back. That's one second thing is having having to replicate our data immediately. Another classic case was in Puerto Rico. There was a natural disaster happened completely. Shut off. All the officers work down. We had to replicate everything what they had into a completely different place so that they could in a vpn, into an access that other chapters and our pulled in to help. They were close to 10 wish families close to 10 which families were stranded because of that. So, you know, gaining that data knowledge of where the family is because the minute of his journey starts. Everything is on us till the witch's journey ends. So we need to make sure everything is proper. Everything goes so data becomes very crucial from those pants >> you're tracking us. I mean, if you haven't been on the make a Wish site is some amazing stories. There I went on the other day. There's a story of ah, of 13 year old girl who's got a heart condition. Who wanted to be a ballerina. A kid with leukemia five years old wants to be a You want to be a chef. My two favorites, I'll share What? It was this kid Brandon a 15 year old with cystic fibrosis. I wanted to be a Navy seal. You guys made that happen. And then there was this child. Colby was 12 years old and a spinal muscular issue. You want to be a secret agent so very creative, you know, wishes that you ran >> way had another wish a couple of years last year in Georgia, where they wish kid wanted to go to Saturn. Yes, yes, it was huge. I mean, and you know the best part about us once we start creating those ideas, it's amazing how much public support we get. The community comes together to make them wish granting process. Great. Now. So I got involved in that. They gave the wish Kato training sessions to make sure that he is equipped when he goes into. And we had a bushel reality company create the entire scene. It was fabulous. So, you know, the way you talk about data and the technology is now some of the things I'm very excited about us usage off thes next Gen technology is like our winter reality to grant a wish. I mean, how cool would that be for granting a wish kid who is not able to get out of the bed. But having able to experience a the Hawaii is swimming. Are being in Disney World enough a couple of days? That's That's another use case that we talked about. That other one is to put the donors who pay the money in that moment off granting, you know, they are big major gift, uh, donors for make a wish. Sometimes we were not able to be part of a fish, but that would be pretty cool if you can bring the technology back to them and you know not going for them. You know pretty much everybody and make the ass through that rather than a PowerPoint or a storytelling, when the storytelling has to evolve to incorporate all of that so pretty excited >> and potentially make a participatory like, say, the virtual reality and then even getting in more into the senses and the that the smells. And I mean this is the world that we're entering the machine intelligence, >> which you still have to have, But you still have to be a functioning, competent, operationally sound organization. There've been a number of charities, make a wish is often at the top of the list of good charities. But there were a number of charities where the amount of money that's dedicated to the mission is a lot less an amount of money, dedicated administration of fundraising, and they always blame it. Systems were not being able to track things. So no, it's become part of the mission to stay on top of how information's flowing because it's not your normal business model. But the services you provide is really useful. Important. >> Sure, let me percent you the business conundrum that I have personally as a 90 leader. It takes close to $10,400 on an average to grant a wish. Uh, and, uh, partly because of me. But being part of the mission, plus me as a 90 leader wanting to understand the business more, I signed up. I'm a volunteer at the local Arizona chapter. I've done couple of expanding myself, and, uh, the condom is, if asked, if you want to go, uh, you know, do the latest and greatest network upgrade for $10,400 are what do you want to, uh, you know and make the network more resilient cyber security and all that stuff. What do you want to go grant? Another wish as a 90 leader probably picked the former. But as a volunteer, I would be like, No, it needs to go to the kid. It's Ah, it's It's an interesting kind of number, you know? You have to find the right balance. I mean, you cannot be left behind in that journey because at many points of time s I talked about it being a cost center. It being a back office. I think those days have clearly gone. I mean, we we evolved to the point where it is making you steps to be a participant b A b a enabler for the top line to bring in more revenues, tow no augment solutions for revenue and things. For that sofa >> rattles the experience or exact role citizens. And in your case, it's the experience is what's being delivered to the degree that you can improve the experience administratively field by making operations cheaper. Great. But as you said, new digital technologies, they're going to make it possible to do things with the experience that we could even conceive of. Five >> wears a classic example. Williams and Beam. I couldn't have taken the data from 60 chapters 120 locations into one single location manageable, and it reduced the cost literally reduce the cost of the 60 instances in one place without technology is like, you know what Sharia virtual machines. And and then to have a backup robust backup solution in a replication off it. It's fantastic. It's amazing >> there. And that's against here. You could give back to the dash chapters and backing, But thanks so much for sharing your story. You Thank you. Thank you. You're welcome. Alright, keep it right there. Buddy. Peter and I were back with our next guest. You watching the Cube live from V mon from Miami? 2019. We're right back. Thank you.

>> Narrator: Live from Las Vegas, it's theCUBE, covering Dell Technologies World 2018. Brought to you by Dell EMC and its ecosystem partners. >> Welcome back to the Sands! We continue here live on theCUBE, our coverage here of Dell Technologies World 2018. 14,000 attendees wrapping up day 3. We are live as I said with Stu Miniman. I'm John Walls, and it is now our pleasure to welcome to the set Steve Fingerhut, who is the SVP and GM of SSD and Cloud Software Business Units at Toshiba Memory Americas. Steve, good to see you, sir. >> Great to be here. >> And Ravi Pendekanti, who is the SVP of Server Solutions Product Management and Marketing at Dell. >> Thank you, John. >> Ravi, good to see you, sir. >> Same here, sir. >> Yeah, let's talk about, first off, show theme. Make it real, right? Digital transformation, but make it real. >> Ravi: Yup. >> So, what does it mean to the two of you? We've heard that theme over and over again, and what do you think that means to your customers as well? How do you make it real for them? >> First and foremost, I think the whole idea of new workloads come in play. People talk about machine learning and deep learning as you, I'm sure, are aware of. People talk about analytics. The fact is, each of us is collecting a lot more data than a year ago. Which is good for my friend Steve and others, and obviously, we like the fact that customers are looking at making more real-time, if not near real-time, analysis. And the whole notion of governmental agencies across the world trying to go into more of a digital world where if you look at a country like India, for example, I mean, they have a billion people who are looking at other cards where they didn't have a form of identification for each individuals. Now if they're gone through a new transformation phase where they want to ensure that every single one of them actually has a way of identification, and it's all done digitally with accounts and everything else that goes on, this is just some of the manifestations of the digital transformation we see, whether it is in your industries, pick your favorite one, whether it's financial sector, the manufacturing, health care, all the way to governmental agencies. I think each of them are looking at how do they look at providing rights out of services. Either for their customers or their communities at large, and, you know, we can't be more excited about what this provides an opportunity for us to go back and provide a way for them to communicate and do some cool takes. >> Steve? >> Yeah, Ravi, you mentioned the workloads that are driving the new campaign or that you're highlighting in the new campaign Make It Real, and, many of those workloads are, they're new architectures, and they were basically built from day one on SSDs, right? Counting on that performance, reliability, etc. And so obviously, that's what we're here to promote at the show. And you can see the new workloads, obviously anything Cloud very much counts on SSDs and Flash. And then as you get into machine learning, different types of artificial intelligence, those are certainly counting on the performance of SSDs. And keep nothing more real than actual products in hands so with Ravi's products and ours, we have a number of demo's, including the new AMD platforms that the Power Edge team is rolling out, running all of these new workloads on Toshiba SSDs. So it's a good way to make it real. >> Yeah, Steve, maybe bring us in a little bit kind of the state of storage, though. We have talked about SSDs, and we're now a decent way into it. Dell's announcement talking a lot about NVMe. Maybe give us the Toshiba viewpoint on memory and storage and some of those transitions we're going through. >> Right, well, I guess the secret's out that SSDs are a great addition. Right? You take pretty much any environment, and you add SSDs, and it will go faster. So it's pretty much the biggest bang for the buck in terms of incremental performance. So what that means is just tremendous growth. And the last couple years have been, really for the industry, keeping up with that really increased demand. So there's inherent efficiencies in the SSDs. We're trying to build as many as we can, and then obviously trying to help our customers use them in the most efficient ways possible. >> Yeah, I agree with Steve. I mean, it is an efficiency equation. The fact of the matter is, you really do need to provide customers with a better way of ensuring that timely information is made available. Again, it's information, and it has to be timely. Because if you really don't provide it at a time when our customers need it, there's really no advantage of being really, having right infrastructure, right? Or lack of it, for that matter. Case in point, if you look at what we just announced, Stu. Yesterday, we had talked about the R840, for example, which is a 4-socket server. And we actually announced it with 44 NVMe drives, believe it or not. That's about two times more than the nearest competitor that just gives you an idea into the amount of data that customers are consuming on the applications, obviously. And more importantly, when we were coming up with this notion, we felt that 12 was probably a good number. Maybe 24 was going to be a stretch. And the number of customers we have talked to even in the last two days, I mean it's been huge. We're hearing them saying, "Wow, we can't wait "to go get this product in our hands." Because that really shows you that there is already a pretty big demand for these kinds of technologies to be brought in. >> Yeah, I like what you were saying there, Ravi, because I'd like both of you to help connect the dots for us a little bit. 'Cause when I think back to, okay, what speed disc did I have? Or was the flash piece in? This was something that, it was traditionally the server admin. Maybe there was some application person that came in. But you're talking about C-level discussions here. The trends that Jeff Clark talked about in his keynote as to, you know, this is what the business is driving things, like AINML and some of those. Steve, how are the conversations changing to get this piece of the infrastructure up at more of the C-level discussion? >> Right, it certainly is part of the transformation where it's been talked about several times this week. IT has moved from being a cost center to the revenue center and then that puts it on the CEO's radar much more squarely. You definitely want to, if you're the CIO, CTO, infrastructure leader, your goal is to try to deliver that agility, right? Don't stand in the way of revenue, while managing security, managing cost. And it's those dynamics and, you know, it's not a new conversation, but it's the public versus private hybrid. What exactly should go where? And those are still top-of-mind for all the customers we're talking to. >> Actually, Steve hit on something else, if I may, which is about security. And I can't tell you, Stu, a good 70% of the customers on average today, do not finish a conversation in the 30-minute chunks we have had without talking about what is it you guys are going to do for security. And that's a huge number or an increase from where we were just even a year or two ago. And imagine having said that, if you really had a longer conversation, security obviously is one of those fundamental pillars that everybody comes down to. Because everybody's worried about data, and the fact that there's leakage of information, if I may, pertaining to this. And more importantly, you know, making it real, if I may, to your point earlier on, Jon, as well. Which is, customers don't want to look at just the buzz words. They're now asking for proof points. Proof points on, "Hey, what does this really mean "in terms of security?" For example, when we talk about zero arrays or, you know, secure arrays, sorry, which is, how do you go retire an old data server or a box without necessarily worrying about the bits and bytes being left on the disc drives? So we have come up with new technologies which enables all the drives to be wiped. Makes it a lot easier, of course, with some of the stuff we do with Toshiba, and some of their technologies as well. But my point, again, being that I think now, our C-level execs are coming in asking us for, not just the major teams, but they're actually more interested in finding out how and what is it we're doing to help some of those major teams. And I think the number of requests we have had for some of the white papers we have come out with, Steve, I think has only grown up now. >> Absolutely. >> Which, I don't think was happening in the past from the C-level execs. So it's absolutely a valid statement. >> Yeah, well, there were Senate hearings last year and some pretty famous data breaches, and you have senators grilling CEO's, and it was shocking. They actually used, there was a senator who used the term, full disc encryption, and taking a CEO to task for not using full disc encryption and so I think that might help, talking about getting on the C-level radar. That helps. >> That was good staff work there. >> Exactly, exactly. That was a good plant. >> Yeah, right. But to the point of security. Obviously with this exponential growth of data, unstructured, blowing up, and then all of a sudden, you become a lot riper, if you will, and you've got a lot more to manage. And so with that, how much more at risk are people, and is that what's raising the awareness now in the C-sweep? Is they realize that they're a much bigger target now than maybe when data wasn't as plentiful you know, back in the old days, if you will. Is that part of this? Or is that it? >> I believe that's a big part of it. And, one of the other things that's obviously going with this is, if you really look at the disclosures that any of us have to go through, even in terms of whether it's a simple credit card you're looking at. I don't know if you've ever seen those. As we were doing some of the analysis, we noticed. You want a simple credit card application, we'd had some security, and, you know, personal information clauses is actually garnered by about 120% in terms of the number of things they ask for. And making sure that the consumer is aware as well. Right? I don't think that happened before. And the fact of the matter is, I don't think there's a single day that we can go through any of the trade press without somebody coming out with a security breach maybe, or a security feature, whether it's hardware or software. And I think there's a whole security encryption device or drives, I think there's a huge demand for that as well, right? >> Absolutely. And you talk about the data growth. It's obviously been phenomenal. In his keynote Monday, Michael Dell talked about the data growth from machine to machine, and it's going to make this look like a little bit of data. So like you said, just that risk, the exposure is much larger, and you have to keep that data secure. So as Ravi mentioned, we work closely with Dell. There's a lot of, it's not an easy problem to solve, right? So there's a lot of engineering to make sure that you have that end-to-end security, and that's why we work with things like the instant system erase, right? So you can, one button, erase the system in minutes, versus in the past, it might take hours and days. And do you really trust that it's gone? Those types of things, so I think that those are enabling a much more robust security, and you basically have to make it easy, right? >> Letting people sleep at night. >> Exactly. >> That's what you're doing. >> It's interesting. In the past, the only way you could do that was you had to write a series of 0's and 1's on their driver. And that would take, you know, hours together. That's how you would erase your data, right? I love when you talk about autonomous vehicles. Imagine there's a whole big, a whole discussion as much as how do you make sure that you have the, that's kind of an edge computing as Jeff, I think, mentioned on stage yesterday. That you want to not have latency come in between making a deterministic turn, right? Or an object appears. You don't want to wait for the breaking system to play because some decision needs to be made in a remote center. Right? Which essentially means now you have got data being collected and analyzed and acted upon. And there are things like that, and you've probably heard of all the insurance companies are working on, you know, what kind of data can we collect it, because when crashes happen, right? How do you make sure that, you know, there are privacy laws in place and what-not, who has access to it, plenty of stuff. >> John: Sure. >> Steve, want to get your viewpoint. We're getting not far from the end of the show. Why don't you give, in general, the partner viewpoint of Dell technology's world in, specifically Toshiba. I know you've got, there's the booze, there's the party, there's demos, there's labs, so a lot of activity your team's doing, for those that haven't been here. And, you know, Toshiba's worked with both Legacy Dell, Legacy MC. Any commentary to close on that coming together? >> Right. I think last year, I used the Jordan/Pippen analogy, but it's only gotten better since then. So it's a great partnership. We're definitely growing strong together, and like you said, that doesn't happen overnight. That's years of hard work and trust that makes that a possibility. But I truly believe we're only getting started. And you know, one of our goals we're working together is how do we make these important capabilities like security more common, more accessible, lower cost, those types of things. So that's a major factor, major focus area for us going forward. But definitely see this is just the beginning. >> Any key highlight from the show or activities that your team's been doing here that you'd like to leave us with? >> Sure. Yeah, we have a significant presence here. We have eight server demos running. I mentioned the AMD servers, multiple workloads across these new emerging workloads. And then the hands-on demo zone. Where actually, the developers can use the systems and software they want to evaluate. They can use them in the Cloud. Those are all being driven by Toshiba, and of course, as part of the Dell Solution. Yeah, we're happy. Honored to be a big part of the show this year. >> Jordan/Pippen, I was thinking more like Curry/Durant. That's where I was going with that. >> Exactly. That might be a little more up-to-date, right? >> I'm good with Jordan. No, he wasn't bad. Pretty good pair like you two are. Thanks for joining us both. We appreciate it, Ravi, Steve. >> Thank you. >> Thank you. >> Good seeing you here. Back with more of a continue, our live coverage here on theCUBE where Dell Technologies World 2018, and we are in Las Vegas.

live from San Francisco California it's the queue at vmworld 2014 brought to you by vmware cisco EMC HP and nutanix now here are your hosts John furrier and Dave vellante okay welcome back and run live in San Francisco California this is the cube vmworld 2014 our 50 year covering vmworld I'm John for my coach Dave vellante Sanjay pune in the EVP and general manager end-user computing friend of the cube he's been on throughout his career at SAAP that he moves right across the street to VMware last year and great to see you great good to see back in the cube Thank You John's pleasure to be what a year right so last year you came on board guns blend Pat was really excited you've accomplished some of your goals I think you laid out I said what's your goals for next year you laid out some goals and then big acquisition AirWatch securities hot mobile was booming we are living in a multi cloud mobile infrastructure demand tell us what happened over the past year obviously big M&A give us the details yo John and Dave I was like on day like point five day one when I came down there cute but I was actually watching the replay and I'm like I actually said that and it made sense no it's been a great year and its really been a team effort so the first thing that I did was I said you know well before we decide the what and the how I really want to figure out who's on the bus so we really both kind of promoted a couple of key people within the company like kid Kohlberg remember kid was like the star of last year's show he's now our CTO and user computing what hired a couple of rock stars for the industry like summit the lawn and a few others who've really come in and shaped us and then as the team started to gel we then began to ask our customers what was the key missing part in our strategy and it was mobile it's very clear and we began to then ask ourselves listen if we're going to get into the mobile space you know do we build do we buy to we partner and we were winning deals in the desktop space primarily against Citrix we compete in there getting a lot of market share but the mobile space we'd lose deals and I go and ask our customers who you pickin and eighty ninety percent of time was AirWatch same time our CIO was doing an evaluation internally we were running on an SMB tool fiber link that then since got bought by IBM were running out of steam with it because as SME tool and I said listen you evaluate the market look at all the options and based on what you pick will probably influenced our acquisition decision they love their watch do so you know those were two or three key moments it's the franchise player in the team right I mean ultimately ultimately you know Mobile is today kind of that sizzle point if you're talking mobile cloud it is the sizzle point John Marshall and Alan dabiri came in they've added a lot so you know I talked to my keynote about three core pillars desktop mobile content collaboration we really feel like today when I was looking back we had a tenth of the portfolio last year this time and I think you know lots of good vision but now we actually a vision and substance right i think is pretty powerful so is it the lebron james who it was the is that the Tom Brady is it the Ray Allen you know the key role play I love basketball all those teams are great i think i'm some of my favorite all the Phil Jackson teams yeah my role is really to be the coach and to bring into the construct the Michael Jordan the Scottie Pippen's you know all that construct so that when you put together a world-class ski I really believe we have the best end-user computing team in the industry bar not and this team really is now packed with people and process and product innovation and that's what you've seen the last 12 months it's a real tribute to this fantastic and use a computing team so as you talk about the news this morning around SI p we didn't catch the detail that we were on the cube here can you just take us through some of those some of those key highlights I mean clearly I have a soft corner for a safe as you would expect that was there for seven years and have a tremendous respect they are the leader in business applications a tremendous player you know hundreds of thousands of customers and what we felt was if you could marry the best of breed aspects of what sa fie does well applications mobile applications cloud applications on-premise applications all of that what we do very well which is management and security for mobile and that's what our customers have among the 13 thousand customers of AirWatch probably the biggest basin enterprise rsap customers and they've been longing for better integration you know you but I what's going on over there you know we asked you I mean listen to the end of the day we want to do what's best for customers and you know so packed bill mcdermott myself talk Kevin ruchi bharani who was on stage and we felt that we could build integration between the mobile apps and the mobile platform of SI p where s if he is very good with the management and security of air watch where we're very good you get the combination to best debrief and I think the customer quote in that press release put it well so G Abraham basically said he was a CIO sigma-aldrich we love the fact that you're bringing together the best of breed aspects of mobile security from AirWatch with mobile apps and mobile platform Mississippi and that's a nessuno abdur for the enterprise because of reality because the challenge people are having is it was taking it was too hard it was taking too long so how does that change now with this integration I mean in essence era what AirWatch provides is an elegant simple cloud centric mobile management security solutions much more than MDM device management at Marikana management and you know in every ranking by the analyst they are the undecided gold medal now you can basically use that solution and make sure that your applications also work so let's say you're bringing up we showed in the demo an example of essay p medical records or maybe SI p furia Psychlo whatever have you you can now bring that up on a device that's secure and the posture is checked with their watch and that's the best combination of both and this could just apply to any application it could be a box it could be our own content locker SI p is a clearly the leader in business application I start sweet recently and said VMware working with apple and United Airlines to bring mobility airplanes all secured by air watch obviously United Airlines big customer GE and other things so the interface to pretty much everything whether it's big data is going to be some mobile or edge device is that the number one requirement that you're hearing from customers that it's not just mobile users is the Internet of Things part of this how do you see that that's interesting piece is that is that true don't absolutely I think well I talked about the United Airlines case start in fact it's right off the website of Apple you go to apple and look at the business case studies they have the United Airlines is one of those case studies in the case that is actually pretty simple you know you've got these pilots that are lugging around 30 40 pound bags lots of paper manuals their flight landing instructions now those are being digitized with iPads in the cockpit so as you think about what the future is everything goes digital that first invades the cockpit then the flight attendants habit so they can check to make sure they have a list of the passengers and they can serve their passengers better and that's the way the world is moving but then you take that same concept and you extend now to machines where every single potential machine that is on the Internet can be tracked can be managed and security and our proposition there is to manage and secure every possible machine and thing and then analyze the data coming out of it we think that's a huge opportunity FML touch in Chicago last year and the chairman of the United told me a one percent savings in efficiency just on just on gas is billions of dollars of real savings so you know this brings back down to the the whole concept it's not just an IT thing it's a business process thing so how far along are you seeing the customer base on things like this is it is where it's--okay IT got workers out there you know bring your own device to work okay but outside of that what is the the uptake if you will on really connected intelligence yeah i think it's a it's and when we have you know 13,000 customers that we've had their watched 50,000 our customers with horizon 500,000 customers we have vmware many of them start speaking and we're finding in a couple of industries and consumer packaged goods and retail industries people are looking at things like for example smart vending in devices medical devices the future of a protected medtronics was on stage and they are a rare watch customer they were talking about the fact that their vision is well beyond just the mobile devices every medical device being protected potentially by air watch you look at oil and gas customers practically almost every oil and gas customers in AirWatch customer there's going to be embedded intelligence inside a lot of the oil and gas machinery and infrastructure that protects people from potential damage we expect to be able to secure that so our proposition in that equation is the management and security of every machine and everything and then the beautiful part of it is beyond just management and security I think the analytics of data coming out of that is a treasure trove of incredible valuable places for big data you know we spoke with bill McDermott when you were also at sa p and they had a very vertical approach and when we go talk about the big data conferences with a Q veterans all this vertical we need to have a vertical niche to kind of be a major player or or even a differentiated niche player but how does that affect your business is it vertical eyes you mentioned a loyal and gas flow but you know airlines is there a horizontal platform that can work across the industries or is it specifically verticals you see up your levels now you're at a different you're the edge of the network what's your take on that do you have to be a vertical player or zero horizontal plane that's a great question Jon I think that as the world's leaf asta scrawing and biggest infrastructure software company VMware that's what we've been going from zero to you know roughly run rate six billion in 15 years there is fundamentally first off a horizontal play that goes across and cuts across many industries but very quickly we find as we were able to package solutions by industries so I talked for example at the keynote about the health care industry and how we were you imagine a doctor walking into their office moving from their office to the ward from their desktop to an iPad to potentially getting into the room and they then have a thin terminal client terminal and then they collaborate with their other doctor that has you know an iPad to healthcare is one example state and local public sector is a different example we're being successful education retail manufacturing we picked four or five verticals I been fortunate in the fact that much of my experience at SAAP was running the industries at SI p so i have a good amount of experience at industry solutions we're certainly not an application's player like i say p where we're going to vertical eyes in a vertical stack applications but you're going to see us drive solutions and when you drive industry solutions and let's say five or ten industries where we're relevant you're going to see our average selling price growth and differentiation is application-specific is tends to be vertical but as a platform product player you're this way yeah you don't wait fundamentally to start with but then you start creating solutions yeah which are scenarios that work in a particular industry to enable those guys exactly and we pick the five or ten industries where we think we're going to go focus and we're starting to see as we do that our average selling price growth everything they have some fools yeah you know what the other thing that happens is that you actually start becoming relevant to a line of business buyer beyond just idea and that's very important I was on the performance metrics give us some data can you share some of that pat was glowing with always performing well so can you share some numbers yeah I'll tell you what we did the last three quarters and growth this is the fastest growing the one of the fastest growing business units in q4 last year we grew thirty percent north of thirty percent in q1 or we announced we grew north of thirty percent again and then in q2 we said we grew north of fifty percent right and now some of that results the contribution of area watch but organic or inorganic we are growing and it's not a small business you can grow from one to two and that's a hundred percent this is a size of a part of VMware's revenue and a growing part of it we're talking hundreds of millions of here is that for ya I mean it's well over ten percent of the revenue and the growing percentage of the total company's revenue I think that this is going to become an increasing part of the embers total revenue total relevance the CIO and because a mobile cloud and a big part of the brand appeal of the inland I mean listen remember is well known as an infrastructure company done very well in the data center but the moment you start talking mobile and clouds you're appealing to the CIO and that's a very different type of conversation we want to raise the appeal of VMware I yield to the CIO and we think mobile it's a big market you guys did the TAM analysis Pat I probably has you doing that but whoever may be Jonathan it's a big chunk of it at his EUC a sizable pardon bigger than it was before and we just have to kind of grow into that Tam and then grow the tam further and that's and you started that kind of throw that sounds getting the flywheel effect going and the problem with VD I was always a cost cost cost and you know so it was a narrow niche this mobile it seems to change that hold concussion for my cost of value you know Dave it's a very good point first off mobile for us means more than just a device it means being on the move and on the move means you could be on the move and you're using a laptop here we got to think about the relevance of how you get solutions on to your laptop and desktop I think part of the reason video I gonna hit a little bit of a bump and some of our competitors have been stalling and declining is it's just too complex into costly and we fundamentally now reinvented a modern stack for desktop virtualization that runs on top of all the great innovation that we have in the software-defined data sound like virtual set like vSphere and a lot of things we're doing so all of a sudden the cost of EDI we can show we take down by at least thirty to forty percent that's a game changer now you add moberly to say listen when you go from a desktop or a laptop to a tablet or phone you've got the leader in mobile security and management AirWatch integrated the horizon this is what we announced with the workspace sweep and the final pillar is being able to share that content in a very simple yet secure way so think sort of Dropbox but all of a security and SharePoint brought you that's the third pillar all three of those desktop mobile and content extremely so you're saying saji the tipping point is the asset leverage that you're getting out of the infrastructure is you move toward this sort of software-defined thing that enables this type of decline in cost and accelerated growth absolutely and that's you know the whole aspect of how software has been done is you integrate things so your lower costs and you make it much much easier to be able to palette and by now either could be bottom premise or the cloud so we're seeing that connection of you know the head and the body think of the body being the traditional software-defined data center the head being end-user computing all the connective tissue muscle fiber blood vessels and so on so forth making that connected now makes us a lot more appealing than telling a customer listen by your data center infrastructure from VMware your desktop infrastructure from Citrix your mobile infrastructure from MobileIron and you're you know content collaboration solution from like 10 different starters right increasingly we think that that's not the way in which people are going to be buying software Sanjay just some highlights from the keynote looking here on Twitter through our little listening tool great reviews by the way electric flying speed she's gonna be CEO someday Pat heads up on that that was coming from the Trident that was this guy without a limiting move on stage when I said fat ought to be thinking about an ice bucket challenge so anyway rights beyond amazing executive really got really great reviews on the twittersphere besides a challenging pat calcium of the ice bucket challenge of which joe 2g already challenged so let's see how he's out of fun again oh fun in all seriousness two quotes i want to pull out from the twittersphere you said software in the modern cars more than the nasa spacecraft awesome comment when I pivot on that in a second the other one was Sanjay is emphasizing the importance of world-class infrastructure so first define world-class infrastructure from your perspective given your industry experience in vision for the future and to talk about how it relates to the modern car were just NASA and the change of speed of Technology you know John when I gave my keynote i put this beautiful picture of this incredible modern architecture in single protocol to marina marina bay sands tower it's three big towers I think 40 50 60 floors and a fantastic infinity swimming pools at the top and not been a Singapore you got to go there and check out the swimming pool at the top of it but the only way in which you could make those three towers work was world-class foundational infrastructure the three towers by the way was a metaphor to desktop mobile content collaboration and of course the beautiful workspace view at the top of it so the thrust the impersonalist well all of that to us the software-defined data center is the de facto interest so that makes a lot of that happen we feel very very fortunate and blessed to have the world's best infrastructure that makes that happen virtual server storage networking management all of that put together allows me to be able to build world-class towers on top of that and the end of the day it's not just solid it's lower cost of ownership in the opportunity now my comment about the the 1970s spacecraft and so just to say that today we live in a software economy it's not to say that hardware is not important but someone joked that software is like the wine and hardware is like the bottle while it was important but the the software glue really ties Harvard together in a very special way and that's really the genius of what's making everything whether it's a device whether it's a machine even more relevant and that clearly was defined in 1972 spacecraft but today you can see this invading automobile thermostat refrigerator vending machine that we believe the future so how to ask you to shoot the arrow forward what are you getting excited about I'll see the accelerated pace of change from the spacecraft to the car after you mention the United Airlines and Apple it's a well documented as an end user environment certainly the interfaces everything and that seems to be the focus area what's your view what is exciting where's the inflection point enabling technology that you're watching from the foundation only to the top I mean listen i spent seven years at SAAP primarily in the analytics and big data space and then fire that another five years that companies like in thematically and I've just my life has been about end-users and whereas we came in here we coined this phrase which is our big broad vision we want to allow end-users to work at the speed of life so if you think about your life in the consumer world you don't lug around 300 CDs into your car you have an ipod you have an iphone your connect to the iCloud and it's all seamlessly there you watch a movie you start off on netflix you go from San Francisco to New York to Barcelona you may start and then stop you know someplace else and you can you can start exactly where you stop house of cards or whatever have you watching enterprise software has been unfortunately hard to use complex hard to implement and the more that we can make enterprise software simple simple and secure we to do the security part of it pretty good we tend to do the simplicity part so i think enterprise software companies can actually take a page out of the book of consumer software companies on the simplicity now the consumer companies could take a lesson out of the book from us and security and but when you put simplicity and security together you get magic when you could put together control and choice together you get magic so it's not the consumerization of IITs we all love it's the IT of consumers each other you could really flip that around like dead laptop staff I mean there's so many different place in the words that you could do that's exactly the way but I think that's a great point Sanjay thanks so much for coming to Cuba congratulations on a great keynote and thanks for coming to spend your valuable time with us here of the cube appreciate it we live here in San Francisco we write back with our next guest after the short break thanks John