>>How do y'all and welcome back to the cube where we're live from Dallas at a Supercomputing 2022. My name is Savannah Peterson. Joined with L AED today, as well as some very exciting guests talking about one of my favorite and most complex topics out there, talking about quantum a bit today. Please welcome Ken and Matthew. Thank you so much for reading here. Matthew. Everyone's gonna be able to see your shirt. What's going on with hybrid quantum? I have >>To ask. Wait, what is hybrid quantum? Yeah, let's not pretend that. >>Let's not >>Pretend that everybody knows, Everyone already knows what quantum computing is if we goes straight to highway. Yeah. Okay. So with the brief tour detour took qu regular quantum computing. Yeah, >>No, no. Yeah. Let's start with quantum start before. >>So you know, like regular computers made of transistors gives us ones and zeros, right? Binary, like you were talking about just like half of the Cheerios, right? The joke, it turns out there's some problems that even if we could build a computer as big as the whole universe, which would be pretty expensive, >>That might not be a bad thing, but >>Yeah. Yeah. Good for Dell Got mill. >>Yeah. >>Yeah. We wouldn't be able to solve them cuz they scale exponentially. And it turns out some of those problems have efficient solutions in quantum computing where we take any two state quantum system, which I'll explain in a sec and turn it into what we call a quantum bit or qubit. And those qubits can actually solve some problems that are just infeasible on even these world's largest computers by offering exponential advantage. And it turns out that today's quantum computers are a little too small and a little too noisy to do that alone. So by pairing a quantum computer with a classical computer, hence the partnership between IQ and Dell, you allow each kind of compute to do what it's best at and thereby get answers you can't get with either one alone. >>Okay. So the concept of introducing hybridity, I love that word bridge. I dunno if I made it up, but it's it for it. Let's about it. Abri, ding ding. So does this include simulating the quantum world within the, what was the opposite? The classical quantum world? Classical. Classical, classical computer. Yeah. So does it include the concept of simulating quantum in classical compute? >>Absolutely. >>Okay. How, how, how do, how do you do that? >>So there's simulators and emulators that effectively are programmed in exactly the same way that a physical quantum machine is through circuits translated into chasm or quantum assembly language. And those are the exact same ways that you would program either a physical q p or a simulated >>Q p. So, so access to quantum computing today is scarce, right? I mean it's, it's, it's, it's limited. So having the ability to have the world at large or a greater segment of society be able to access this through simulation is probably a good idea. >>Fair. It's absolutely a wonderful one. And so I often talk to customers and I tell them about the journey, which is hands on keyboard, learning, experimentation, building proof of concepts, and then finally productization. And you could do much of that first two steps anyway very robustly with simulation. >>It's much like classical computing where if you imagine back in the fifties, if, if the cube was at some conference in 1955, you know, we wouldn't have possibly been able to predict what we'd be doing with computing 70 years later, right? Yeah. That teenagers be making apps on their phones that changed the world, right? And so by democratizing access this way, suddenly we can open up all sorts of new use cases. We sort of like to joke, there's only a couple hundred people in the world who really know how to program quantum computers today. And so how are we gonna make thousands, tens of thousands, millions of quantum programmers? The answer is access and simulators are an amazingly accessible way for everyone to start playing around with the >>Fields. Very powerful tool. >>Wow. Yeah. I'm just thinking about how many, there's, are there really only hundreds of people who can program quantum computing? >>I kind of generally throw it out there and I say, you know, if you looked at a matrix of a thousand operations with hundreds of qubits, there's probably, I don't know, 2000 people worldwide that could program that type of a circuit. I mean it's a fairly complex circuit at that point and >>I, I mean it's pretty phenomenal When you think about how early we are in adoption and, and the rollout of this technology as a whole, can you see quite a bit as, as you look across your customer portfolio, what are some of the other trends you're seeing? >>Well, non quantum related trends or just any type you give us >>Both. >>Yeah. So >>We're a thought leader. This is >>Your moment. Yeah, so we do quite a bit. We see quite a bit actually. There's a lot of work happening at the edge as you're probably well aware of. And we see a lot of autonomous mobile robots. I actually lead the, the research office. So I get to see all the cool stuff that's really kind of emerging before it really regrets >>What's coming next. >>Let's see, Oh, I can't tell you what's coming next, but we see edge applications. Yes, we see a lot of, of AI applications and artificial intelligence is morphing dramatically through the number of frameworks and through the, the types and places you would place ai, even places I, I personally never thought we would go like manufacturing environments. Some places that were traditionally not very early adopters. We're seeing AI move very quickly in some of those areas. One of the areas that I'm really excited about is digital twins and the ability to eventually do, let's come up on acceleration with quantum technologies on, on things like computational fluid dynamics. And I think it's gonna be a wonderful, wonderful area for us moving forward. >>So, So I can hear the people screaming at the screen right now. Wait a minute, You said it was hybrid, you're only talking the front half. That's, that's cat. What about the back half? That's dog. What about the quantum part of it? So I, on Q and, and I apologize. Ion Q >>Ion >>Q, Yeah Ion Q cuz you never know. You never never know. Yeah. Where does the actual quantum come in? >>That's a great >>Question. So you guys have one of these things. >>Yeah, we've built, we currently have the world's best quantum computer by, by sub measures I drop there. Yeah, no big deal. Give me some snaps for that. Yeah, Ken knows how to pick em. Yeah, so right. Our, our approach, which is actually based on technology that's 50 years old, so it's quite, quite has a long history. The way we build atomic clocks is the basis for trapped eye quantum computing. And in fact the first quantum logic gate ever made in 1995 was at NIST where they modified their atomic clock experiment to do quantum gates. And that launched really the hardware experimentalist quantum Peter Revolution. And that was by Chris Monroe, our co-founder. So you know that history has flown directly into us. So to simplify, we start with an ion trap. Imagine a gold block with a bunch of electrodes that allow you to make precisely shaped electromagnetic fields, sort of like a rotating saddle. >>Then take a source of atoms. Now obviously we're all sources of atoms. We have a highly purified source of metal atium. We heat it up, we get a nice hot plume of atoms, we ionize those atoms with an ionizing later laser. Now they're hot and heavy and charged. So we can trap them in one of these fields. And now our electromagnetic field that's spitting rapidly holds the, the ions like balls in a bowl if you can imagine them. And they line up in a nice straight line and we hold them in place with these fields and with cooling laser beams. And up to now, that's how an atomic clock works. Trap an item and shine it with a laser beam. Count the oscillations, that's your clock. Now if you got 32 of those and you can manipulate their energy states, in our case we use the hyper fine energy states of the atom. >>But you can basically think of your high school chemistry where you have like an unexcited electron, an excited electron. Take your unexcited state as a zero, your excited state as a one. And it turns out with commercially available lasers, you can drive anywhere between a zero, a one or a super position of zero and one. And so that is our quantum bit, the hyper fine energy state of the atrium atom. And we just line up a bunch of them and through there access the magical powers of supervision entanglement, as we were talking about before, they don't really make sense to us here in the regular world, but >>They do exist. But what you just described is one cubit. That's right. And the way that you do it isn't exactly the same way that others who are doing quantum computing do it. That's right. Is that okay? >>And there's a lot of advantages to the trapped iron approach. So for example, you can also build a super conducting qubit where you, where you basically cool a chip to 47 mil kelvin and coerce millions of atoms to work together as a single system. The problem is that's not naturally quantum. So it's inherently noisy and it wants to deco here does not want to be a quantum bit. Whereas an atom is very happy to be by itself a qubit because we don't have to do anything to it. It's naturally quantum, if that makes sense. And so atomic qubits, like we use feature a few things. One the longest coherence times in the industry, meaning you can run very deep circuits, the most accurate operations, very low noise operations. And we don't have any wires. Our atoms are connected by laser light. That means you can connect any pair. So with some other technologies, the qubits are connected by wires. That means you can only run operations between physically connected qubits. It's like programming. If you could only use, for example, bits that are adjacent with an i untrapped approach, you can connect any pair so that all to all connectivity means your compilation is much more efficient and you can do much wider and deeper circuits. >>So what's the, what is the closest thing to a practical application that we've been able to achieve at this point? Question. And when I say practical, it doesn't have to be super practical. I mean, what is the, what is the sort of demonstration, the least esoteric demonstration of this at this point? >>To tie into what Ken was saying earlier, I think there's at least two areas that are very exciting. One is chemistry. Chemistry. So for example, you know, we have water in our cup and we understand water pretty well, but there's lots of molecules that in order to study them, we actually have to make them in a lab and do lots of experiments. And to give you a sense of the order of magnitude, if you wanted to understand the ground state of the caffeine molecule, which we all know and has 200 electrons, you would need to build a computer bigger than the moon. So, which is, you know, again, would be good profit for Dell, but probably not gonna happen time soon. That's >>Kind of fun to think about though. Yeah, that's a great analogy. That >>Was, yeah. And in fact it'd be like 10 moons of compute. Okay. So build 10 moons of >>Computer. I >>Love the sci-fi issue. Exactly. And now you can calculate caffeine, it's crazy or it just fits in a quantum computer the size of this table. And so we're using hybrid quantum computing now to start proving out these algorithms not for molecules as complex as caffeine or what we want in the future. Like biologics, you know, new cancer medications, new materials and so forth. But we are able to show, for example, the ground state of smaller molecules and prove a path to where, you know, decision maker could see in a few years from now, Oh, we'll be able to actually simulate not molecules we already understand, but molecules we've never been able to study a prayer, if that makes sense. And then, >>Yeah, I think there's a key point underneath that, and I think goes back to the question that you asked earlier about the why hybrid applications inherently run on the classical infrastructure and algorithms are accelerated through qs, the quantum processing units. >>And so are you sort of time sharing in the sense that this environment that you set up starts with classical, with simulation and then you get to a point where you say, okay, we're ready, you pick up the bat phone and you say I wanna, >>I would say it's more like a partnership, really. Yeah, >>Yeah. And I think, I think it's kind of the, the way I normally describe it is, you know, we've taken a look at it it from a really kind of a software development life cycle type of perspective where again, if you follow that learn experiment, pro proof of concept, and then finally productize, we, we can cover and allow for a developer to start prototyping and proofing on simulators and when they're ready all they do is flip a switch and a manifest and they can automatically engage a qu a real quantum physical quantum system. And so we've made it super simple and very accessible in a democratizing access for developers. >>Yeah. Makes such big difference. Go ahead. >>A good analogy is to like GPUs, right? Where it's not really like, you know, you send it away, but rather the GPU accelerates certain operations. The q p. Yeah, because quantum mechanics, it turns out the universe runs on linear algebra. So one way to think about the q p is the most efficient way of doing linear algebra that exists. So lots of problems that can be expressed in that form. Combinatorial optimization problems in general, certain kinds of machine learning, et cetera, get an exponential speed up by running a section of the algorithm on the quantum computer. But of course you wouldn't like port Microsoft Word. Yeah, exactly. You know, you're not gonna do that in your product. It would be a waste of your quantum computer. >>Not just that you wanna know exactly how much money is in your bank account, not probabilistically how much might be ballpark. Yeah. Realm 10, moon ballpark, right? >>10 moon ballpark. Be using that for the rest of the show. Yeah. Oh, I love that. Ken, tell me a little bit about how you identify companies and like I n Q and and end up working with Matthew. What, what's that like, >>What's it like or how do you >>Find it's the process? Like, so, you know, let's say I've got the the >>We're not going there though. Yeah. We're not >>Personal relationship. >>Well, >>You can answer these questions however you want, you know. No, but, but what does that look like for Dell? How do you, how do you curate and figure out who you're gonna bring into this partnership nest? >>Yeah, you know, I, I think it was a, it's, it was a, a very long drawn out learning opportunity. We started actually our working quantum back in 2016. So we've been at it for a long time. And only >>In quantum would we say six years is a long time. I love >>That. Exactly. >>By the way, that was like, we've been doing this for age for a >>Long time. Yeah. Very long time before >>You were born. Yes. >>Feels like it actually, believe it or not. But, so we've been at it for a long time and you know, we went down some very specific learning paths. We took a lot of different time to, to learn about different types of qubits available, different companies, what their approaches were, et cetera. Yeah. And, and we ended up meeting up with, with I N Q and, and we also have other partners as well, like ibm, but I N q you know, we, there is a nice symbiotic relationship. We're actually doing some really cool technologies that are even much, much further ahead than the, you know, strict classical does this, quantum does that where there's significant amount of interplay between the simulation systems and between the real physical QS. And so it's, it's turning out to be a great relationship. They're, they're very easy to work with and, and a lot of fun too, as you could probably tell. Yeah. >>Clearly. So before we wrap, I've got it. Okay. Okay. So get it. Let's get, let's get, yeah, let's get deep. Let's get deep for a second or a little deeper than we've been. So our current, our current understanding of all this, of the universe, it's pretty limited. It's down to the point where we effectively have it assigned to witchcraft. It's all dark energy and dark matter. Right. What does that mean exactly? Nobody knows. But if you're in the quantum computing space and you're living this every day, do you believe that it represents the key to us understanding things that currently we just can't understand classical models, including classical computing, our brains as they're constructed aren't capable of understanding the real real that's out there. Yeah. If you're in the quantum computing space, do you possess that level of hubris? Do you think that you are gonna deliver the answers? >>I'm just like, I think the more you're in the space, the more mysterious and amazing it all seems. There's a, but there is a great quote by Richard Feinman that sort of kicked off the quantum exploration. So he gave a lecture in 1981, so, you know, long before any of this began, truly ages ago, right? Yeah. And in this lecture he said, you know, kind of wild at that time, right? We had to build these giant supercomputers to simulate just a couple atoms interacting, right? And it's kind of crazy that you need all this compute to simulate what nature does with just a handful >>Particles. Yeah. >>Really small. So, and, and famously he said, you know, nature just isn't classical. Damn it. And so you need to build a computer that works with nature to understand nature. I think, you know, the, the quantum revolution has only just begun. There's so many new things to learn, and I'm sure the quantum computers of 40 years from now are not gonna look like the, you know, the computers of today, just as the classical computers of 40 years ago look quite different to us now, >>And we're a bunch of apes. But you think we'll get there? >>I, yeah, I, I mean, I, I have, I think we have, I feel incredibly optimistic that this tool, quantum computing as a tool represents a sea change in what's possible for humans to compute. >>Yeah. I think it's that possibility. You know, I, when I tell people right now in the quantum era, we're in the inac stage of the quantum era, and so we have a long way to go, but the potential is absolutely enormous. In fact, incomprehensibly enormous, I >>Was just gonna say, I don't even think we could grasp >>In the, from the inac is they had no idea of computers inside of your hand, right? Yeah. >>They're calculating, you know, trajectories, right? Yeah. If you told them, like, we'd all be video chatting, you >>Know, >>Like, and kids would be doing synchronized dances, you know, you'd be like, What? >>I love that. Well, well, on that note, Ken Matthew, really great to have you both, everyone now will be pondering the scale and scope of the universe with their 10 moon computer, 10 moons. That's right. And, and you've given me my, my new favorite bumper sticker since we've been on a, on a roll here, David and I, which is just naturally quantum. Yeah, that's, that's, that's, that's one of my new favorite phrases from the show. Thank you both for being here. David, thank you for hanging out and thank all of you for tuning in to our cube footage live here in Dallas. We are at Supercomputing. This is our last show for the day, but we look forward to seeing you tomorrow morning. My name's Savannah Peterson. Y'all have a lovely night.

>>Hi, I'm Peter Burress. And welcome to another cube conversation. This one from B M sees Helix Immersion Days and Santa Clara, California The Senate Clara Marriott. Every organization of any scale now has to lean on their suppliers in the technology world in different ways. It used to be you could almost have an antagonistic relationship with whoever was offering you technology. But today, every business is becoming increasingly dependent on technology suppliers that are providing crucial strategic service's. And that relationship is changing the way we think about technology. That is nowhere more obvious than the Manage service's provider space or the MSP space, which is highly dependent upon very complex delivery of very rich service's and a set of analytics that air allow the many service provider in the business to work together to achieve strategic ends. Now have a conversation about how that's working and how that's changing. We've got a great cube conversation got Aldo Romero, who's the cross service is deputy director at Keio Networks Mexico. Alda, Welcome to the Cube. So let's start with what is key networks tell us a little bit about Kiyo Networks. >>Okay, Kyo networks. Personally, he canna from dad and me, you know so much. Probably. Service is a technology. Inform us on the mission critical tenemos court. Enter data centers until Mexico Panorama making quarter political American Guatemala. So if >>we think about this challenge upfront, I said that increasingly, business has to think about treating its suppliers differently in the manage service providers at the vanguard of that, what catalyzed Keogh Network's decision to start thinking about how digital service is and operations management. We're gonna have to start coming together so that you could provide a better set of managed service capabilities to your clients. >>Another 50 are intellectuals For most of the heat does Bella Paralysis. Harvey Seo is a wall of stones in front under the remit Parma coral and triggers. A reason was clean and it's Santy Okay, on a work visa, no Russian grand plataforma CCTV shows was gonna transform our nose and Monroe and Moroccan era Watson was clean. A the city most cake. Alex LaMarca Hello, Obama said a roller. I mean telekinesis. Thomas put up a little emporia. Sorry. C'mon, process. So that's a gimme into control. Purple rules transformer heat element. So as >>you think about using BMC Helix and other classes of technology. You must have a vision in mind of where your relationships and how your service is are gonna be provided. Tell us a little bit about the relationship that you have with BMC Helix and how it's informing and altering and adjusting the promises in the value propositions that you have to your manage. Service customers. >>LaMarca parties with the most. The teleconference. A Norman 10. Vamos a bodyguard Transformer journals. You have a key on networks LLC and technology on the set of issues it processes your lot ago, most in your mutual momentous and those qualities of Israel experience. Check every message from Ministro. Probable servicios is most polio liberal exito process a literal form. A syndicate tile in our mentor mentor now look innocent of all arsonist risk. Leontes, his former meant importante para nosotros a parabola guarantee survey. No Star Service >>manage Service's has been around for a while. We're now talking about Cloud Service isn't as important subset of the manage service of space, but as one that over the course of the next few years might even become more important, especially in countries like Mexico that are growing so fast and introducing increasingly complex capabilities within their economies. As Keogh Networks evolves, do you see yourself being a leader in how cloud service is evolve as well? >>See if you determine, take yours leader in Lapa Improbable level problems servicios the clout that most officials the club go on Amazon. The notary's is the cloak on Microsoft tennis officials that throughout the opening stock include Syria. Infinity tormented knows Romans camellia in America. >>So one last question as you envision moving forward with this increasingly combined digital service, is management and operations management. What kind of leadership are you looking to be? Him? See? He looks for >>Leader Yasuoka. Stumbled booze can do is for their their arms. Trustee in testing facility. Tireless operaciones Sartre Business officials. The mission. Critical contextual. Here's the MTA cameras were Mr Alex Cee Lo Vamos con una Fortaleza, You know, in a para para nuestros revisions in America, he said, mass value. So spar partners >>Aldo Aldo Romero. Thank you very much for being on the Cube. Thank you. All the romero is tthe e Crawl Service is Deputy director Keogh Networks in Mexico, and once again, I'm Peter Burns. This has been another cute conversation until next time

from New York it's the cube covering blockchain week now here's John furry hello everyone welcome back to this special cube exclusive on the water coverage of the awesome cryptocurrency event going on this week blockchain week New York City D central Anthony do re oh seven a big special event launching some great killer products me up to cube alumni that we introduced at polycon 2018 Genevieve Dec Monroe and Jeromy Gartner great to see you guys thanks for having us so you guys look fabulous you look beautiful you're smart we're on a boat we're partying it feels like Prague it feels like prom feels like we are at the top of another bubble couldn't feel better five more boat parties and then the bubbles officially at the top but we're only had the first boat party well the real existential question is what do we view next you know we've we've graduated from nightclubs and strip clubs and now two super yachts like do we go on a spaceship neck's or a Boeing Jets yeah I mean the options are somewhat limited in how we scale up the crypto parties I actually heard today one of my clients is launching in space a crypto mining operation that's fueled by solar power so we might be going to space Elon Musk wants to get involved I agree like where are we going you guys are awesome I love the creative so this party to me is really a testament of the community talk about the community I see polycon was great in Puerto Rico they had restart week and that but I heard these guys saying here at the central that the community's fragmented is the community fragmented seems like it's not out there or just only one pocket of the community I think the community so we have 10,000 people at consensus okay so these are 10,000 people that have gone down the rabbit hole and they're all at the Hilton in midtown Manhattan kind of going like how'd you get involved why are you here 10,000 people is a lot but I think that yeah we're we're at the decentral party so some of the yeast communities are being fragmented but I think we're having like infrastructure built to kind of connect the broader world to the things whether it's custodial services whether it's like tonight the jocks 2.0 wallet and you know everything that's getting involved there I don't know Jeremy Jeremy it's like an international traveler so you Carly Jeremy it's 100 percent in an echo chamber more importantly rabbit holes are like dark and confusing places that there are they're winding and a lot of people are here for very different reasons and thus when you have all these new entrants to the industry to this technology here for all these different reasons of course you have some fragmentation you know in many regards the ideological and philosophical roots of Bitcoin and blotchy technology have been lost son on many of the new entrants and and so it takes time to get to the point where we're all winding I think different blockchains and different applications of this technology will have different kind of approaches to how people think about investors always gonna be pragma because this is a massively growing industry that touches upon every kind of business and governmental and non-governmental it's actually fragmentation is a relative chairman is Genevieve you I saw you and you guys are working with things from cannabis coin I think you had to cannabis cabin this week in New Yorker yeah we're doing that tomorrow night actually so crypto and cannabis are two the hottest millennial sectors right and so we kind of like to say Agri capital we like to dance on the edge of chaos I actually found out about a cannabis company in Vancouver so just outside Vancouver that is using a crypto mining operation and all the excess heat that is coming off that to power a grow-op so we're literally at the intersection of crypto and cannabis not just for our handling money but handling energy in a different way which is so fast that's real mission impact investing right there you know using energy to grow weed that's the Seidel impact isn't it good bad I mean even as you look at it you know better cannabis healthy cannabis is a mission people look care about we're helping people's wallets and we're helping people's minds right in like ways that the government banks and pharmaceutical companies are fighting against so you know if you can't beat them join them so I welcome Astra Zeneca and the Bank of Canada to come on board our mission this is specially turning into a cube after dark episode Jeremy I gotta get your thoughts on these industries because look at cannabis we joke about it but that's an example of another market this zilean markets that are coming online that are gonna be impacted so fragmentation is a relative terms but hey look at it I mean energy tech is infrastructure tech and solid that's what I'm concerned about who nails the infrastructure for network effects and what's the instrumentation for that that's the number one question that is essential question for the protocols whether it's Theory amore Bitcoin oreos Definity so forth the protocol that provides the strongest and and most adaptable and infrastructure and foundational technology is going to be one of the main ones are those will be the main winners and so the names I mentioned they're up there they're very competitive but it's anybody's game right now I think any blockchain can come along right now and be the winner a decade from now and for entrepreneurs represents a challenge because you have to figure out what blocks came to go build on this is why I am big on investing in interoperable Ledger's technologies that enable the kind of transfer smart contracts and crypto assets between blockchains it's a great great segue let's just get an update since we last talked what are you working on what are you investing in what's new in your world share the update on strangers so now my fund is officially launched where how much we launched with just over 15 million dollars and amazingly we launched at the perfect time we're already up 55% and we got making an investment for a venture fund we actually did the exact WA T investment which transferred over from my personal investment portfolio but doing great I have really run the gamut in terms of investments we're making on the equity side of things and in crypto assets but what we're seeing is really accomplished entrepreneurs coming to this space continue actually more optimism than I had felt at polygon poly car and I was like this market needs to correct in a real way today I think that Corrections been prolonged if we were gonna feel a lot of pain it was gonna be two months ago but instead I think it's gonna be one to three years before the market goes through the correction that we need to see for the real shakeout to happen because so many of these teams that I think are garbage have so much money yeah and they're just floating around they got has worked their way out it's just like a bad burrito at some point it's got a pass Genevieve what are you working on I'll see you've got grit capital what's the update on your end what's new yeah amazing actually literally tonight probably about 60 minutes ago my business partner and I signed one of the fastest-growing exchanges in Canada called Einstein exchanges of quiet so these guys have only ever raised like one and a half million u.s. and they're the biggest exchange in Canada by sign ups active accounts so they're probably doing like almost a hundred million in top-line transaction volumes and they're probably never going public somebody's probably gonna buy them but we're gonna be marketing them across the country getting customers I mean the tagline is it doesn't take I'm Stein to open an account it shouldn't take n Stein it by Bitcoin you can literally get this account set up in under 60 seconds so they're vampires ease-of-use surety reducing the steps it takes to do it and get it up and running fast absolutely like my dad could do it and like alright so we say now follow you on Instagram and Facebook which is phenomenal by the way I got a great lifestyle what's the coolest thing you've done since we last talked to Polycom Wow polycon was kind of a high really peaked and then everyone got sick like our team got said polymath untraceable cuz everybody just got the flu yeah we were like on adrenaline and we kept going ah what's the coolest thing that we've done since then I think it's signing up like cool companies like Einstein we also signed a big cannabis company in Colombia called Chiron they're about to go public I don't know Cole what do you think I don't know maybe what's the coolest thing you've done travel what's your good so last night Jeremy and I just met we're together on a blockchain Research Institute project that Sonova Financial is backing and meeting him so you guys working together on a special project right now how's that going what's that about JCO which is a new sort of financial services firm they're creating what it could effectively be understood as a compliant coin offering that is available to more than just accredited investors and that's they're making ico something that falls within the pre-existing regulatory framework and also accessible to your average Joe which I think it's really important if we're going to follow the initial vision for both blockchain technology and offerings all right final question I know you guys want to get back to your dancing and schmoozing networking doing big deals having fun what is blockchain New York we call about we could pop chain we here in New York what the hell's happening there's been a lot of events what's your guy's assessment of you observed and saw anything can you share for the people who didn't make it to New York or not online reading all the action what's happened so as someone that did not attend consensus spoke at three other events or speaking at three other events I can say with certainty that the New York box chain week has been about bringing together virtually everyone in the industry to connect and kind of catch up with one another which is really important we we don't have that many events Miami was too short the industry's gotten too big but having a full week of activities in New York City has enabled me to kind of foster relationships are oh I yeah man get a lot of work John well I've gotten so much work done I haven't had to actually be a date conferences to reconnect with just about everyone that I want to industry that's really special Genevieve what is your observation what have you observed share some in anecdote some insight on what happened this week I know fluid he started I saw Bilt's I was just chatting with him about it it was started in over the weekend it's gone up and we're now into Thursday tomorrow coming up well I don't think it's a coincidence that Goldman Sachs came out today and said that they were launching some sort of digital currency marketing yeah exactly using the power of the 10,000 people i consensus but yeah i know i agree with what jeremy says it's not really about being at consensus it's about what happens like behind closed doors it's all these decentralized parties that are happening yeah open doors but like it's you know like we hosted a core capital asset we had a hundred people in a suite at the dream hotel and it was just like you put the biggest CEOs of the mining companies in the world together and like put those with investors in a room it's like you know 100 people and that's where the deals happen it's not like in the big you know huge auditorium where like nobody looks at each other and everyone's on their phone well I gotta tell you how do we know we the Entrepreneurship side is booming so I totally love the entrepreneurial side check check check access to capital new kinds of business model stuff economics so we reported on all that to me the big story is Wall Street in New York City has been kind of stuck the products kind of like our old is antiquated like the financial products and like that's why Goldman's coming out they got nothing what they don't have anything what are they got so you see in a stagnant they got a traditional product approximately nothing really like new fresh so you got in comes crypto just do a crypto washer so I think I see the New York crowd going this is something that is exciting and we could product ties potentially so I don't think they know yet what that is but I think some of the things that are going on you guys I like I like so I my dad's always the kind of barometer to this whole thing and he's like when are they gonna come out with like a Salesforce stock column for the blockchain right like some sort of application that it doesn't matter if you're like illegal if you're like in investment banking like some sort of pervasive application that just goes wild you have that yet what is that happening Jeremy Jeremy did the date was it's the Netscape moment if you will the moment that blotching technology becomes tangible and now and in retrospect a few years out we may decide that's great for all the young browsers is a browser the original browse for the Internet that was that moment may have already happened we don't really know it maybe it been something like a theory a more augered you know something where there's a use case but people haven't wrapped their heads around it yet but if that hasn't happened yet it's coming it's where we're on the cusp of it because people know what bitcoin is they've heard of the blockchain it is part of the zeitgeist now and and that cultural relevance it's so important for having that Netscape moment Jeremy Jeremy thanks so much to spend the time here on the ground on the water for our special cube coverage of blockchain week new york city consensus you had all kinds of different events you had the crypto house where we were at tons of fluidity conference all this stuff going on good to see you guys you look great thanks for sharing the update here and the cube special coverage I'm John Faria thanks for watching Thanks

>> Hi, I'm Peter Burris, welcome to this Cube Conversation, where we bring some of the best ideas in the industry to the Wikibon, SiliconANGLE communities as a way of catalyzing further conversation about some of the changes, and some of the opportunities that are presented by tech in a world that's digitally transforming. We're being joined today by Bobby Patrick, who's the CMO of a company called UiPath. UiPath is one of the leaders in a technology known as robotic process automation. And we're going to talk about the problems, the solutions, and the directions forward with this, what we regard as a very, very important technology on the rise. Bobby, welcome to the Cube. >> Hi Peter, great to be here. >> So Bobby, let's start with who are you? Tell us a little bit about yourself. >> Sure, Bobby Patrick, CMO, UiPath. I was CMO of the cloud business HPE prior, a Cube alumni, I guess we call them, right? And had a history of startups, in SQL space, and open source, and different transformational companies. But I was really intrigued by the idea of software robots over the last six months, and joined UiPath, and it's just been an amazing adventure to see this kind of amazing technology really deliver outcomes for companies faster than I've ever seen happen in tech in my history. >> Well let's talk about that, so, every technology that's going to be successful has to target a problem, a group of people who are trying to solve the problem, and a set of returns. So let's talk about, what is the problem that UiPath and related technologies are actually trying to address? >> Let me start at the macro level first of all. Robotic process automation is instructive trend for digital transformation. For the last three, five, seven years, vendors and companies have said, "I want to go digital." Digital, digital, digital. Right? And going digital's really difficult. Back office processes and front office processes are complex, there's a lot of human interaction involvement in it, and in the past, the way to tackle that would be IT would engage in a significant integration project, an IT project, would purchase equipment, technology, and try to rebuild and redefine the process. Robotic process automation tackles that problem of digital transformation in a very different way. It says forget the idea of going and redoing all of the systems in the data. Let's just take it from the human perspective. Let's see how does a human engage in the process today? And let's completely mimic that human interaction. Let's do that in a way that has complete accuracy, actually higher compliance, and do that in a way that's very simple. And so our technology, which has been built over a number of years, has now perfected the ability to actually replicate and emulate a human user, interacting with multiple systems, something they do every day, in the enter process, move data around, analyze data, look at the data for context, and then execute that process continuously. And that has resulted in an industry that is booming. Forrester said last year it was a $250 million industry, it'll be a $3 billion industry in three years. And UiPath is the fastest growing company in what's called RPA. >> So let me break that down a little bit. So a couple of general principles. The computing industry has always been focused on how we can substitute technology, specifically in the form of programs, for labor. And when we do that, we're able to reduce errors, we're able to speed up the activities, we have derivative opportunities to integrate things we never did before. So let me see if I got this right. What you just described is, instead of trying to substitute for that labor, by creating a net new program that has a whole bunch of static elements, we're actually going to turn these tools and apply them to the question of, how do people do things, let's substitute for the things that people do, start there. Have I got that right? >> Yeah, I mean imagine a contact center in a customer service operation for an airline. They receive an email from a customer that's complaining, about a bad flight, that contact center specialist has to look at a variety of systems to determine your status, what did we give you recently, in two days they will respond. Maybe the person's name is Michelle, and they'll respond in two days, and give you something. Well now, Michelle the software robot can do that exact same thing in a matter of minutes, with complete accuracy, and you can apply machine learning to it, and AI to it, to determine, 95% of the time, if I provide this in this situation, I'll have a happy flier, a happy member. That's what we're talking about here, which is software robots that essentially are perfecting these complex business processes both in the back office and in the front office. Often where lots of documentation's involved, lots of different systems are involved, and a human has to interact between all of those over and over. >> So, RPA, effectively, robotic process automation, effectively provides a means to mimic the work of a person. Because that's where most process engineering is done. Mimic the work of a person, codify it in a way that actually leads to a better business outcome. So that's what it is. Now take us through how does this work? Who are the people involved in the process, what does the technology do for them, how long does it take? Give us a little bit about it. >> So one of the beauties to RPA is that this doesn't require deep engineering talent to be able to build a software robot, and execute it. In fact, some of the breakthroughs in the technology that's been created at UiPath are a studio designer, which looks much like Visio, where you can drag and drop a workflow. Subject matter experts are becoming the next coders, really. Where they can actually design the workflow. There's actually a recorder function that can actually record the user-- >> That's where it starts. It starts with the recorder looking at how people are doing things and picking up that, and turning that in semantics that are meaningful to-- >> Yeah, defining a workflow. Which has exceptions, and handling. I should mention, when you're creating, or you're automating a process, there are really two kinds of robots you're designing. One is one called an attended robot, where along that workflow that robot's going to stop and ask a human a question. It's about a third of the market right now. So the process executes and a human might have to fill in some gaps alone the way. An unattended robot can run in the cloud, or on a VM in an on-premises data center, and execute that process behind the scenes, over and over and over.. So you kind of, you're building one of two. And UiPath supports both attended and unattended robots. But yes, you're designing the workflow, that workflow may interact with a variety of systems, you might receive an email and read the email, the robot reads the email. You might actually log into salesforce.com to find out if they're a customer. You might actually upload the email as a artifact, you might then download some information, put it into a PDF, and send it on. That's an example of a workflow that you're automating end to end. >> So we've got that workflow designed, what are we doing next with it? And who's doing it? >> So this is one of the beauties, too. One of the challenges in IT is projects take a long time. But in RPA-- >> Peter: And they fail. >> And they fail. What's interesting in RPA, what we've proven now, is you can pretty much begin to digitize a process in a matter of weeks. The outcomes are almost immediate. And payback periods are often six months or less. An RPA project almost self-funds itself, which is one reason why I think this is taking off so fast as well. >> So if we want to get a payback period in six months, it means that the whole notion of how fast does it take to get a group up and running on this, becomes crucial. So what is RPA typically, who's it typically targeting? Is it a professional software developer, someone with no technology expertise, business analysts, where-- >> Business analysts, definitely. You're talking line of business. You're talking finance operation. There's a lot of innovation in finance operations. How do I improve my ability to handle invoice reconciliation, and manage purchase orders, and all that paperwork and movement of data. >> So these are people that are familiar with workflows, they're familiar with process design, et cetera, but may not be familiar with coding >> These are subject matter experts. They're not familiar with coding, but they know the process really well. They know what to do when there's an exception, they know what to do in a sequence of events, and so that's why we often say subject matter experts are the next big coders, because they can actually go and learn, in fact UiPath, we have a program called an academy. Academy is on our site, we launched it last April. 35,000 people have been certified already. These are typically business analysts who go get trained, online, self-led, get a diploma, a foundational or an advanced diploma, and are RPA developers, in fact. Now you can go deep. There's C#, you can develop and you can go deep behind it. So I'm not saying there's not some ability to go really deep in certain development. But for the most part, you're a finance operation, you're an HR operation. I'll give you an example of one that just popped up yesterday. A company called West Monroe, they're a consulting firm in Chicago, they announced that they built Rosie the Robot. And Rosie the Robot, with UiPath, is a robot that onboards all their new employees. And they're doing a lot of M and A. They're growing really fast. And onboarding all the employees was a task that required a lot of people to do a very system data intensive process. Now Rosie does all that for them. Very simple example, you can then kind of zoom out and realize that really every process, most processes, have some kind of human interaction repetitiveness to them which a robot can either assist a knowledge worker, or can actually execute that entire process flawlessly. >> Now, we're not talking about technology that's really esoteric, that requires an enormous net new experience in learning from an operations staff. We're talking about technologies that can be targeted specifically to a problem, and end up generating artifacts that are familiar to what's currently in place. Have I got that right? >> Yeah, and I think what's important, so enterprise RPA really addresses two sides. One, the business side, that's trying to digitize a process and automate, maybe for cost savings, but more important than trying to apply AI. And get smarter, right? And so that's the business side. It also addresses the IT side, which is, okay, I've got to secure these robots, how do they scale, how do I manage and govern them, imagine having thousands and thousands of robots. I'll give you another example. NASA. The first robots that NASA launched, the first one, they named George Washington. And George did a-- >> Good name. >> Bunch of work for the finance group, and they got really comfortable with George. They'd walk in in the morning and say, "What has George done for me last night?" Which is awesome. But George was onboarded just like a human worker. Meaning he has to log in to different systems, just like a human worker, and by the way, his password expires every 90 days. So how do they solve that? They created the boss robot. And the boss robot's name? Constitution. Constitution changes George's password every 90 days. That's what's happening here, is you're building out your digital workforce. So IT worries, then, about how do I manage and secure, and scale, so we think about scalability, and big scale is a big challenge, but opportunity that we're focused on, tens of thousands of robots that companies will have. We often say it'll ultimately be one robot per every employee. >> So we have not, or I think you've mentioned the word, or the phrase, "AI" just once. So this is utilizing similar kinds of concept. The attended versus unattended, for example. How you go about training. But I got to believe that there's going to be a roadmap for integrating a whole bunch of these new technologies, that are capable of providing even more degrees of freedom, more functionality, how is RPA and some of these new technologies going to intersect over the course of the next few years? >> This is a really, really important question. So RPA, and enterprise RPA and UiPath, we believe it's a platform. So once you digitize that process, you can then do things with it. We've opened APIs, it's very extensible, you can integrate with a conversation API of Watson, integrate with a chat bot and have the robots do the back end work. At Exxon, they're doing IOT, and deploying sensors left and right, but all the systems in the back end are legacy systems and Excel spreadsheets. So the robots actually are the back end, supporting the deployment of IOT on the front end. So you have this amazing combination. But what people really want to do, then, is they want to look at that process and say, "How do I make it smarter? "How do I improve the productivity over time?" It's great to get that initial bump of perhaps cost savings, when you think about the robot doing, what eight FTEs did, the one robot does. So that's one thing. But the bigger thing is being able to apply data science to the process, looking for ways to mine the process, to think about how can I do the execution better? And that's when we apply machine learning to a process. Where we can actually look, instead of having a rule, in the process that executes, you actually have the experience. Where you say, oh 90% of the time it happens this way. So I'll fill the field in, instead of going and tracking down an empty field. So you can really get smarter, and really improve productivity. Peter, this is all about productivity. GE's a great example of one, that spoke at a conference of ours recently. And the first nine months, they had $25 million of productivity from the robots. The next nine months, $150 million. But this is not about cost-cutting or employees. This is about, actually, hiring. This is about getting smarter in every process. This is about eliminating errors completely. >> Well, productivity is not just a function of the denominator, which is cost. It's also a function of the work that you can perform. And so what you're saying is that utilizing these technologies, while it may displace certain laborious tasks, nonetheless, it's automating and improving the quality of a whole bunch of others, which allows people to go off and do net new things that perhaps are better in service to customers, for example. >> Yeah, one of the fast savings we're seeing from our customers is that they're actually able to use robots to fill the gap of being able to hire new employees. So that, in Japan, here's a great, Japan's almost a unique market. Japan RPA, and UiPath is used on some of the world's largest RPA projects, like SMBC Bank, or Dentsu, the advertising agency, company, there, they're using robots to address two things. One, the decaying population, so robots are filling the gap. And also, two, suicide. There are very high suicide rate because they work these amazing hours every week. Well they're actually using robots to reduce the number of hours, as the robots complement the work of the workforce in Japan. So we're really seeing, interestingly enough, is that robots are actually filling the gaps, and beginning to do work of a workforce that maybe you wish you could hire but you can't hire. So I think that trend is what we're going to see more of in 2018. >> Excellent. So, Bobby, thank you very much for coming on the Cube, here in our Palo Alto studios, and talking to us about RPA, robotic process automation. We heard a little bit about what is it, how does it work, what's the impacts of using it, and obviously, UiPath and yourself as a increasing or emerging force within an important new marketplace for enterprises and users who are trying to increase their productivity. >> Thank you, Peter. >> Once again, this is Peter Burris, in a Cube Conversation with thought leader Bobby Patrick at UiPath. Bobby, again, thanks for coming. >> Bobby: Thank you.

why from the mandalay bay convention center in las vegas it's the cues covering vmworld 2016 rock you buy vmware and its ecosystem sponsors now you're your host John furrier and John wall's well welcome back to Mandalay Bay here at vmworld along with John furrier I'm John wall's glad to be with you here on the cubes to continue our coverage what's happening at vmworld exclusive broadcast a partner here for the show and along with John we're joined by eric Herzog's the vice president product marketing and management at IBM storage and Erica I just found out you're one of the all-time 10 most popular cute guests or most prominent cube guests most prolific congratulations well thank you we always love coming to the cube it's always energizing you love controversy and I love controversy and you get down to the heart of it you're the hard copy of high tech they're like oh I loved and we could probably mark each of your appearances by the Hawaiian shirt I think what do you think either Hawaiian shirt or one of my luggage share we could trace those back ever stop vibe about the show I mean just your thoughts about they've been here for three four days now just your general feel about about the the messaging here and then what's actually being conveyed in the enthusiasm out on the show floor well it's pretty clear that the world has gone cloud the world is doing cognitive and big data analytics vmware is leading that charge their strong partner of IBM we do a lot of things with them both with our cloud division on our storage division and vmware is a very strong partner of IBM we have all kinds of integration in our storage technology products with vai with vasa with vcenter ops all the various product lines at vmware offers and the key thing is ever wants to go to the cloud so by working with IBM and vmware together makes it easier and easier for customers whether it be the small shop Herzog's barn grill or whether it be the giant fortune 500 global entity working with us together allow them to get to the cloud sooner faster and have a better cloud experience so you got you know everybody cloud and virtualization and you know big themes big big topics so why does storage still matter well the big thing is if you're going to go to a cloud infrastructure and you're going to run everything on the cloud you think of storage as at solid foundation it has to be rock solid it has to be highly resilient it has to be able to handle error codes and error messaging and things failing and things falling off the earth at the same time it needs to be incredibly fast where things like all-flash arrays come in and even flexible so things like software-defined storage so think of storage as the critical foundation underneath any cloud or virtualized environment if you don't have a strong storage foundation with great resiliency great availability great serviceability and great performance your cloud or your virtual infrastructure is going to be mediocre and that's a very generous term so that's a key point so controversial II speaking to get to the controversy the whole complexity around converged infrastructure hyper converge or whatever the customers are deploying for compute they're putting the storage close to that whether it's a SAS and the cloud which is basically a data center that no one knows the address of as we were saying they always going to have stores has to sit somewhere what is the key trends right now for you because software is leading the way iBM has been doing a lot of work I know and soft we've been covering you guys will be at IBM edge coming up shortly in a couple weeks where's the innovation on the storage side for you guys well how do you talk to the customer base to say ok I got some sass options now for back and recovery weird one of your partners earlier i'm talking about that where is the physical storage innovation is that the software what's your thoughts on so we have a couple paths of integration for us first software-defined storage several the other analyst firms have named it's the number one software-defined storage coming in the world for several years in a row now software-defined storage gives a flexible infrastructure you don't have to buy any of the underlying media or underlying array controller from us just by our software and then you could put on anybody else's hardware you want you can work with your cloud provider with your reseller with your distributor enterprises create their own cloud whether it's a software-defined storage gives you a wide swath of storage functionality backup archive primary store grid scale out software only so ultimate flexibility so that one area of innovation secondary ish is all flash all flash is not expensive essentially I love old Schwarzenegger movies in the 1980s was all about tape he was a spy go and show what is supposedly the CIA was Schwarzenegger I'll take mid 90s Schwarzenegger another spy movie show a datacenter all hard drive arrays now in the next Schwarzenegger movie hopefully it'll be all flash arrays from IBM in the background so flash is just an evolution and we do tons of humor white shirts I keep swapping monitors it so he's intimated I get one from Maui went from kawaii one from the Big Island so flash is where it's at from a system level perspective so you've got that innovation and then you've got converged infrastructure as you mentioned already will you get the server the storage the networking and VMware hypervisor all packaged up dramatically so we have a product called the vs tak we do jointly with Cisco and vmware we were late to market on that we freely admit that but just give you an idea in the first half of this year we have done almost 2x what we did in the entire year of 2015 so that's another growth ending particularly cloud service providers love to get these pre-canned pre racked versus tax and deploy them in a number of our public references are cloud service providers both big and small essentially wheel in a versus stack when they need it whelan not own will another pre-configured ready to go and they get up and up and quit going so those are three trends we just had a client on Scott equipment not a Monroe Louisiana went to the Versa stack and singing your praises like a great example of medium size small sized businesses so we keep think about enterprises and all this and that it doesn't have to be the case their services that you're providing the companies of all sizes that are gaining new efficiencies in protocol al people everybody needs storage and you think about it is really how do you want to consume the storage and in a smaller shop you may choose one way so versus stack is converged infrastructure our software-defined storage like spectrum accelerate spectrum virtualize a software-only model several of the products like spectrum accelerate inspect can protect are available through softlayer or other cloud is he consumed it as a cloud entity so whether you want to consume an on-premises software only full array full integrated stack or cloud configuration we offer any way in which you want to eat that cake big cake small cake fruit cake chocolate cake vanilla cake we got kicked for ever you need and we can cover every base with that a good point about the diversity of choices from tape to flash and they get the multi multi integrated Universal stack so a lot of different choices I want to ask you about you know with that kind of array of options how you view the competitive strategy for IBM with storage so you know I know you're a wrestler so is there a is there a judo move on the competition how would you talk about your differentiation how do you choke hold the competition well couple ways first a lot from a technical perspective by leading with software-defined storage and we are unmatched in that capacity according the industry analysts on what we do and we have it in all areas in block storage we got scale-out file storage and scale out big data analytics we got back up we got archive almost no one has that panoply of offering in a software-defined space and you don't need to buy the hardware from us you can buy from our competitors two things I hear software and then after the array of eyelash what's specifically on the software are you guys leading and have unmatched as-safir already well spectrum protect is you know been a leader in the enterprise for years spectrum scale is approaching 5,000 customers now and we have customers close to an exabyte in production single customer with an exabyte pretty incredible so for big data analytic workloads with on gastronomic research so for us it's all about the application workload in use case part of the reason we have a broad offering is anyone who comes in here and sits in front of you guys and says my array or my software will do everything for you is smoking something that's not legal just not true maybe in Colorado or yeah okay me but the reality is workloads applications and use cases very dramatically and let's take an easy example we have multiple all-flash arrays why do we have multiple all flash arrays a we have a version for mainframe attached everyone in there wants six or seven 9s guess what we can provide that it's expensive as they're all is that our six or seven 9s but now they can get all flash performance on the mainframe in the upper end of the Linux world that's what you would consume at the other end we have our flash our store wise 50 30 f which can be as low street price as low street price as eighteen thousand dollars for an all-flash array to get started basically the same prices our Drive rang and it has all the enterprise data services snapshot replication data encryption at rest migration capability tiering capability it's basically what a hard drive array used to cost so why not go all flash threat talk about the evolution of IBM storage actually them in a leader in storage in the beginning but there was a period of time there and Dave when I won't talk handling the cube about this where storage my BMC it took a lot of share but there's been a huge investment in storage over the past i'd say maybe five years in particular maybe past three specifically i think over a billion dollars has been spent I think we thought the Jamie talent variety of folks on from IBM what is the update take a minute to explain how IBM has regained their mojo in storage where that come from just add some color to that because I think that's something that let people go hmm I great for things from my being but they didn't always have it in the storage so as you know IBM invented the hard drive essentially created the storage industry so saying that we lost our mojos a fair statement but boy do we have it back explain so first thing is when you have this cloud and analytic cognitive era you need a solid foundation of storage and IBM is publicly talked about the future of the world is around cloud on cognitive infrastructure cognitive applications so if your storage is not the best from an availability perspective and from a performance perspective then the reality is your cloud and cognitive that you're trying to do is basically going to suck yeah so in order to have the cloud and convey this underlying infrastructure that's rock-solid so quite honestly as you mentioned Dave we've actually invested over three and a half billion dollars in the last three years not to mention we bought a company called Texas memory systems which is the grandfather our flash systems knocks before that so we've invested well over three billion dollars we've also made a number of executive hirings ed walls just joined us CEO of several startups former general manager from emc i myself was a senior vice president at emc we just hired a new VP of Sales they're serious you guys are serious you guys are all in investing bringing on the right team focusing on applications work gloves in use case as much as I love storage most CEOs hate it yeah there's almost no cio that whatever a storage guy they're all app guys got to talk their lingo application workload in use case how the storage enables their availability of those apps workloads and use cases and how it gives them the right performance to meet their essays to the business guy what's interesting I want to highlight that because I think it's a good point people might not know is that having just good storage in and of itself was an old siloed model but now you mentioned could we cover all the IBM events world of Watson we should call insights edge and and interconnect the cloud show cognitive is front and center there's absolutely the moon shot and the mandate from IBM to be number one in cognitive computing which means big data analytics integrated to the application level obviously bluemix in the cloud Philip blank was here on stage about IBM cloud the relation with VMware so that fails if it doesn't have good steward doesn't perform well and and latency matters right I mean data matters well I add a couple things there so first of all absolutely correct but the other thing is we actually have cognitive storage ok if you automate processes automatically for example to your data some of our competitors have tiering most of them tier only within their own box we actually can tear not only within our own box for from our box to emc our box to netapp our box to HP HP to del Delta hitachi we can t r from anything to anything so that's a huge advantage right there but we tier we don't just set policy which is when data's 90 days old automatically move it that's automation cog nation is where we not only watch the applications and watch the data set we move it from hot to cold so let's take for example financial data your publicly traded company cuban SiliconANGLE going to be public soon i'm sure guys are getting so big your finance guys going to say Dave John team this financial data is white-hot got to be on all flash after you guys do your announcement of your incredible earnings and thank God I hopefully get friend of the company stock and my stock goes way up as your stock goes way up what are we spoking now come on let me tell you when that happens the date is going to go stone-cold we see that you don't have to set a policy two-tier the data with IBM we automatically learn when the data is hot and when it's cold and move it back and forth for you you know there's no policy setting cognition or cognitive its storage understand or stands out as the work for some big data mojo coming into the storage right and that's a huge change so again not only is it critical for any cognitive application to have incredibly performance storage with incredible resiliency availability reliability ok when there is cognitive health care true cognitive health care and Dave's on the table and they bring out their cognitive Juan because they found something in your chest that they didn't see before if the storage fails not going to be good for Dave yeah at the same time if the storage is too slow that might not be good for Dave either when they run that cognitive wand a that hospital knows that it's never going to fail that doctor says Oh Dave okay we better take that thing out boom he takes it out Dave's healthy again well that's a real example by the way not necessary Dave on the table but there was a story we wrote insult an angle one of our most popular post last month IBM Watson actually found a diagnosis uncured a patient the doctor had missed I don't know if you saw that story when super viral but that's the kind of business use case that you're in kind of illuminating with the storage yeah well in fact that one of the recent trade shows what's called the flash memory summit we won an award for best enterprise application commercial developer spark cognition they developed cyber security applications they recommend IBM flash systems and actually Watson's embedded in their application and it detects security threats for enterprises so there's an example of combining cognition with Watson the cognition capability of flash systems and then their software which is commercially available it's not an in-house thing or they're you know a regular software all right now we're a now we're in like the big time you know intoxication mode with all this awesome futuristic real technology how does a customer get this now because now back to IT yeah the silos are still out there they're breaking down the silos how do you take this to customers what's to use case how do you guys deploy this what's the what are you seeing for success stories well the key thing is to make it easy to use and deploy which we do so if you want the cloud model we're available in software IBM Global resiliency services uses us for their resiliency service over 300 cloud providers you spectrum protect for backup pick the cloud guy just pick one you want we work with all of them if you want to deploy in-house we have a whole set of channel partners globally we have the IBM sales team IBM global services uses IBM's own storage of course to provide to the larger enterprises so with your big shop medium swaps well flop we have a whole set of people out there with our partner base with our own sales guys that can help that and you get up and then we back it up as you know IBM is renowned for supporting service in all of our divisions in all of our product portfolio not just in storage so they need support and service our storage service guys are there right away you'd it installed we can install it our partners can install this stuff so we try to make it as brain dead as possible as easy as possible Jen being cognitive and are some of our user interfaces are as easy as a Macintosh I mean drag-and-drop move your lungs around run analytics on when you're going to run out of storage so you know ahead of time all these things that cut things people want today remember IT budget cut dramatically in the downturn of 08 09 and while budgets have returned they're not hiring storage guys there are hiring developers and they're hiring cloud guys so those guys don't know how to use storage well you got to make it easy always fast and always resilient that way it doesn't fail anyway but when it does you just go into the GUI it tells you what's wrong bingo and IBM service our partner service comes right out and fix it so that's what you need today because there aren't as many storage guys as you used to be no question you've got the waterfront covered no doubt about that and again congratulations on cracking the top 10 way back we consider that an honor and a privilege to be a part of that great welcome picture we really appreciate it thank you we'll continue the coverage here on the Cuba vmworld right after this