>>Live from San Diego, California It's the Q covering Koopa and Cloud Native Cot brought to you by Red Cloud, Native Computing Pounding and its ecosystem March. >>Welcome back to the Cube here at Q. Khan Club native Khan, 2019 in San Diego, California Instrumental in my co host is Jon Cryer and first of all, happy to welcome back to the program. Diane Mueller, who is the technical of the tech lead of cloud native technology. I'm sorry. I'm getting the wrong That's director of community development Red Hat, because renew. Goodbye is the technical lead of cognitive technologies at in video game to the end of day one. I've got three days. I gotta make sure >>you get a little more Red Bull in the conversation. >>All right, well, there's definitely a lot of energy. Most people we don't even need Red Bull here because we're a day one. But Diane, we're going to start a day zero. So, you know, you know, you've got a good group of community of geeks when they're like Oh, yeah, let me fly in a day early and do like 1/2 day or full day of deep dives. There So the Red Hat team decided to bring everybody on a boat, I guess. >>Yeah. So, um, open ships Commons gathering for this coup con we hosted at on the inspiration Hornblower. We had about 560 people on a boat. I promised them that it wouldn't leave the dock, but we deal still have a little bit of that weight going on every time one of the big military boats came by. And so people were like a little, you know, by the end of the day, but from 8 a.m. in the morning till 8 p.m. In the evening, we just gathered had some amazing deep dives. There was unbelievable conversations onstage offstage on we had, ah, wonderful conversation with some of the new Dev ops folks that have just come on board. That's a metaphor for navigation and Coop gone. And and for events, you know, Andrew Cliche for John Willis, the inevitable Crispin Ella, who runs Open Innovation Labs, and J Bloom have all just formed the global Transformation Office. I love that title on dhe. They're gonna be helping Thio preach the gospel of Cultural Dev ops and agile transformation from a red hat office From now going on, there was a wonderful conversation. I felt privileged to actually get to moderate it and then just amazing people coming forward and sharing their stories. It was a great session. Steve Dake, who's with IBM doing all the SDO stuff? Did you know I've never seen SDO done so well, Deployment explains so well and all of the contents gonna be recorded and up on Aaron. We streamed it live on Facebook. But I'm still, like reeling from the amount of information overload. And I think that's the nice thing about doing a day zero event is that it's a smaller group of people. So we had 600 people register, but I think was 560 something. People show up and we got that facial recognition so that now when they're traveling through the hallways here with 12,000 other people, that go Oh, you were in the room. I met you there. And that's really the whole purpose for comments. Events? >>Yeah, I tell you, this is definitely one of those shows that it doesn't take long where I say, Hey, my brain is full. Can I go home. Now. You know I love your first impressions of Q Khan. Did you get to go to the day zero event And, uh, what sort of things have you been seeing? So >>I've been mostly I went to the lightning talks, which were amazing. Anything? Definitely. There. A number of shout outs to the GPU one, of course. Uh, friend in video. But I definitely enjoyed, for example, of the amazing D. M s one, the one about operators. And generally all of them were very high quality. >>Is this your first Q? Khan, >>I've been there. I've been a year. This is my third con. I've been accused in Europe in the past. Send you an >>old hat old hand at this. Well, before we get into the operator framework and I wanna love to dig into this, I just wanted to ask one more thought. Thought about open shift, Commons, The Commons in general, the relationship between open shift, the the offering. And then Okay, the comments and okay, D and then maybe the announcement about about Okay. Dee da da i o >>s. Oh, a couple of things happened yesterday. Yesterday we dropped. Okay, D for the Alfa release. So anyone who wants to test that out and try it out it's an all operators based a deployment of open shift, which is what open ship for is. It's all a slightly new architectural deployment methodology based on the operator framework, and we've been working very diligently. Thio populate operator hub dot io, which is where all of the upstream projects that have operators like the one that Reynolds has created for in the videos GP use are being hosted so that anyone could deploy them, whether on open shift or any kubernetes so that that dropped. And yesterday we dropped um, and announced Open Sourcing Quay as project quay dot io. So there's a lot of Io is going on here, but project dia dot io is, um, it's a fulfillment, really, of a commitment by Red Hat that whenever we do an acquisition and the poor folks have been their acquired by Cora West's and Cora Weston acquired by Red Hat in an IBM there. And so in the interim, they've been diligently working away to make the code available as open source. And that hit last week and, um, to some really interesting and users that are coming up and now looking forward to having them to contribute to that project as well. But I think the operator framework really has been a big thing that we've been really hearing, getting a lot of uptake on. It's been the new pattern for deploying applications or service is on getting things beyond just a basic install of a service on open shift or any kubernetes. And that's really where one of the exciting things yesterday on we were talking, you know, and I were talking about this earlier was that Exxon Mobil sent a data scientist to the open ship Commons, Audrey Resnick, who gave this amazing presentation about Jupiter Hub, deeper notebooks, deploying them and how like open shift and the advent of operators for things like GP use is really helping them enable data scientists to do their work. Because a lot of the stuff that data signs it's do is almost disposable. They'll run an experiment. Maybe they don't get the result they want, and then it just goes away, which is perfect for a kubernetes workload. But there are other things you need, like a Jeep use and work that video has been doing to enable that on open shift has been just really very helpful. And it was It was a great talk, but we were talking about it from the first day. Signs don't want to know anything about what's under the hood. They just want to run their experiments. So, >>you know, let's like to understand how you got involved in the creation of the operator. >>So generally, if we take a step back and look a bit at what we're trying to do is with a I am l and generally like EJ infrastructure and five G. We're seeing a lot of people. They're trying to build and run applications. Whether it's in data Center at the and we're trying to do here with this operator is to bring GPS to enterprise communities. And this is what we're working with. Red Hat. And this is where, for example, things like the op Agrestic A helps us a lot. So what we've built is this video Gee, few operator that space on the upper air sdk where it wants us to multiple phases to in the first space, for example, install all the components that a data scientist were generally a GPU cluster of might want to need. Whether it's the NVIDIA driver, the container runtime, the community's device again feast do is as you go on and build an infrastructure. You want to be able to have the automation that is here and, more importantly, the update part. So being able to update your different components, face three is generally being able to have a life cycle. So as you manage multiple machines, these are going to get into different states. Some of them are gonna fail, being able to get from these bad states to good states. How do you recover from them? It's super helpful. And then last one is monitoring, which is being able to actually given sites dr users. So the upper here is decay has helped us a lot here, just laying out these different state slips. And in a way, it's done the same thing as what we're trying to do for our customers. The different data scientists, which is basically get out of our way and allow us to focus on core business value. So the operator, who basically takes care of things that are pretty cool as an engineer I lost due to your election. But it doesn't really help me to focus on like my core business value. How do I do with the updates, >>you know? Can I step back one second, maybe go up a level? The problem here is that each physical machine has only ah limited number of NVIDIA. GPU is there and you've got a bunch of containers that maybe spawning on different machines. And so they have to figure out, Do I have a GPU? Can I grab one? And if I'm using it, I assume I have to reserve it and other people can't use and then I have to give it up. Is that is that the problem we're solving here? So this is >>a problem that we've worked with communities community so that like the whole resource management, it's something that is integrated almost first class, citizen in communities, being able to advertise the number of deep, use their your cluster and used and then being able to actually run or schedule these containers. The interesting components that were also recently added are, for example, the monitoring being able to see that a specific Jupiter notebook is using this much of GP utilization. So these air supercool like features that have been coming in the past two years in communities and which red hat has been super helpful, at least in these discussions pushing these different features forward so that we see better enterprise support. Yeah, >>I think the thing with with operators and the operator lifecycle management part of it is really trying to get to Day two. So lots of different methodologies, whether it's danceable or python or job or or UH, that's helm or anything else that can get you an insult of a service or an application or something. And in Stan, she ate it. But and the operator and we support all of that with SD case to help people. But what we're trying to do is bridge the to this day to stuff So Thea, you know, to get people to auto pilot, you know, and there's a whole capacity maturity model that if you go to operator hab dot io, you can see different operators are a different stages of the game. So it's been it's been interesting to work with people to see Theo ah ha moment when they realize Oh, I could do this and then I can walk away. And then if that pod that cluster dies, it'll just you know, I love the word automatically, but they, you know, it's really the goal is to help alleviate the hands on part of Day two and get more automation into the service's and applications we deploy >>right and when they when they this is created. Of course it works well with open shift, but it also works for any kubernetes >>correct operator. HAB Daddio. Everything in there runs on any kubernetes, and that's really the goal is to be ableto take stuff in a hybrid cloud model. You want to be able to run it anywhere you want, so we want people to be unable to do it anywhere. >>So if this really should be an enabler for everything that it's Vinny has been doing to be fully cloud native, Yes, >>I think completely arable here is this is a new attack. Of course, this is a bit there's a lot of complexity, and this is where we're working towards is reducing the complexity and making true that people there. Dan did that a scientist air machine learning engineers are able to focus on their core business. >>You watch all of the different service is in the different things that the data scientists are using. They don't I really want to know what's under under the hood. They would like to just open up a Jupiter Hub notebook, have everything there. They need, train their models, have them run. And then after they're done, they're done and it goes away. And hopefully they remember to turn off the Jeep, use in the woods or wherever it is, and they don't keep getting billed for it. But that's the real beauty of it is that they don't have to worry so much anymore about that. And we've got a whole nice life cycle with source to image or us to I. And they could just quickly build on deploy its been, you know, it's near and dear to my heart, the machine learning the eyesight of stuff. It is one of the more interesting, you know, it's the catchy thing, but the work was, but people are really doing it today, and it's been we had 23 weeks ago in San Francisco, we had a whole open ship comments gathering just on a I and ML and you know, it was amazing to hear. I think that's the most redeeming thing or most rewarding thing rather for people who are working on Kubernetes is to have the folks who are doing workloads come and say, Wow, you know, this is what we're doing because we don't get to see that all the time. And it was pretty amazing. And it's been, you know, makes it all worthwhile. So >>Diane Renaud, thank you so much for the update. Congratulations on the launch of the operators and look forward to hearing more in the future. >>All right >>to >>be here >>for John Troy runs to minimum. More coverage here from Q. Khan Club native Khan, 2019. Thanks for watching. Thank you.

>> live from Las Vegas. It's the queue covering del Technologies. World twenty nineteen. Brought to you by Del Technologies and its ecosystem partners. >> Welcome back to Las Vegas. Lisa Martin with John Ferrier. You're watching the Cube live at Del Technologies World twenty nineteen. This is our second full day of Double Cube set coverage. We've got a couple of we're gonna really cool conversation coming up for you. We've got Robbie Pender County, one of our alumni on the cue back as VP product management server solutions. Robbie, Welcome back. >> Thank you, Lisa. Much appreciated. >> And you brought some Hollywood? Yes. Glenn Glenn ER, president of Sony Innovation Studios. Glenn and welcome to the Cube. >> Thank you very much. It's great to be here. >> So you are love this intersection of Hollywood and technology. But you're a filmmaker. >> Yeah. I have been filming movies for many years. Uh, I started off making motion pictures for many years. Executive produced him and over so production for them at one of our movie labels called Screen Gems, which is part of Sony Pictures. >> Wait a tremendous amount of evolution of the creative process being really fueled by technology and vice versa. Sony Innovation Studios is not quite one year old. This is a really exciting venture. Tell us about that and and what the the impetus was to start this company. >> You know that the genesis for it was based out of necessity because I looked at a nice Well, you know, I love making movies were doing it for a long time. And the challenge of making good pictures is resource is and you never get enough money believing not you never get enough money and never get enough time. That's everybody's issue, particularly time management. And I thought, Well, you know, we got a pretty good technology company behind us. What if we looked inward towards technology to help us find solutions? And so innovation studios is born out of that idea on what was exciting about it was to know that we had, uh, invited partners to the game right here with Del so that we could make movies and television shows and commercials and even enterprise solutions leaning into state of the art and cutting edge technology. >> And what some of the work prize and you guys envision coming out this mission you mentioned commercials. TV is it going to be like an artist's studio actor? Ackerson Ball is Take us through what this is going to look like. How does it get billed out? >> I lean into my career as a producer. To answer that one and say is going to enable that's one of the greatest things about being a producer is enabling stories, uh, inspiring ideas to be Greenland. That may not have been able to be done so before. And there's a key reason why we can't do that, because one of our key technologies is what we call the volumetric image acquisition. That's a lot of words. You probably say. What the heck is that? But a volumetric image acquisition is our ability to capture a real world, this analog world and digitize it, bring it into our servers using the power of Del and then live in that new environment, which is now a virtual sets. And that virtual set is made out of billions and trillions in quadrillions of points, much like the matter around us. And it's a difference because many people use pixels, which is interpretation of like worry, using points which is representative of the world around us, so it's a whole revolutionary way of looking at it. But what it allows us to do is actually film in it in a thirty K moving volume. >> It's like a monster green screen for the world. Been away >> in a way, your your your your action around it because you have peril X so these cameras could be photographing us. And for all you know, we may not be here. Could be at stage seven at Innovation Studios and not physically here, but you couldn't tell it. If >> this is like cloud computing, we talking check world, you don't the provisional these resource is you just get what you want. This is Hollywood looking at the artistry, enabling faster, more agile storytelling. You don't need to go set up a town and go get the permit. All the all the heavy lifting you're shooting in this new digital realm. >> That's right. Exactly. Now I love going on location on. There's a lot to celebrate about going on location, but we can always get to that location. Think of all the locations that we want to be in that air >> base off limits. Both space, the one I >> haven't been, uh, but but on said I've been I've walked on virtual moons and I've walked on set moons. But what if we did a volumetric image acquisition of someone set off the moon? Now we have that, and then we can walk around it. Or what if there's a great club, a nightclub? This says guys want you shoot here, but we have performances Monday night, Tuesday night, Wednesday night there. You know they have a job. What if we grab that image, acquired it, and then you could be there anytime you want. >> Robbie, we could go for an hour here. This is just a great comic. I >> completely agree with you. >> The Cube. You could. You could sponsor a cube in this new world. We could run the Q twenty four seven. That's absolutely >> right. And we don't even have >> to talk about the relationship with Dale because on Del Technologies, because you're enabling new capabilities. New kind of artistry was just totally cool. Want to get back to the second? But you guys were involved. What's your role? How do you get involved? Tell the story about your >> John. I mean, first and foremost one of things that didn't Glendon mention is he's actually got about fifty movies to his credit. So the guy actually knows this stuff, so which is absolutely fantastic. So we said, How do you go take average to the next level? So what else is better than trying to work something out, wherein we together between what Glenn and Esteem does at the Sony Innovation Labs for Studio Sorry. And as in Dead Technologies could do is to try and actually stretch the boundaries of our technology to a next tent that when he talks about kazillion bytes of data right one followed the harmony of our zeros way have to be able to process the data quickly. We have to be able to go out and do their rendering. We probably have to go out and do whatever is needed to make a high quality movie, and that, I think, in a way, is actually giving us an opportunity to go back and test the boundaries of their technology. They're building, which we believe this is the first of its kind in the media industry. If we can go learn together from this experience, we can actually go ahead and do other things in other industries. To maybe, and we were just talking about how we could also take this. He's got his labs here in Los Angeles, were thinking maybe one of the next things we do based on the learnings we get, we probably could take it to other parts of the world. And if we are successful, we might even take it to other industries. What if we could go do something to help in this field of medicine? >> It's just thinking that, right? Yes. >> Think about it. Lisa, John. I mean, it's phenomenal. I mean, this is something Michael always talks about is how do we as del technologies help in progress in the human kind? And if this is something that we can learn from, I think it's going to be phenomenal. >> I think I think that's so interesting. Not only is that a good angle for Del Technologies, the thing that strikes me is the access toe artist trees, voices, new voices that may be missed in the prop the vetting process the old way. But, you know, you got to know where we're going. No, in the Venture Capital way seen this with democratization of seed labs and incubators, where, if you can create access to the story, tells on the artists we're gonna have one more exposure to people might have missed. But also as things change, like whether it's Ray Ray beaming and streaming, we saw in the gaming side to pull a metric or volumetric things. You're gonna have a better canvas, more paint brushes on the creative side and more. Artist. Is that the mission to get AC, get those artists in there? Is it? Is that part of the core mission submission? Because you're going to be essentially incubating new opportunities really fast. >> It's, uh, it's very important to me. Personally. I know it speaks of the values of both Sony and L. I like to call it the democratization of storytelling. You know, I've been very blessed again, a Hollywood producer, and we maybe curate a certain kind of movie, a certain kind of experience. But there's so many voices around the world that need to be hurt, and there are so many stories that otherwise can't be enabled. Imagine a story that perhaps is a unique >> special voice but requires distance. It requires five disparate locations Perhaps it's in London, Piccadilly Circus and in Times Square. And perhaps it's overto Abu Dhabi on DH Libya somewhere because that's part of the story. We can now collapse geography and bring those locations to a central place and allow a story to be told that may not otherwise have been able to be created. And that's vital to the fabric of storytelling worldwide's >> going change the creative process to you don't have to have that waterfall kind of mentality like we don't talk about intact. You're totally distributed content, decentralized, potentially the creative process going change with all the tools and also the visual tools. >> That's right. It's >> almost becoming unlimited. >> You wanted to be unlimited. You want the human spirit to be unlimited. You want to be able to elevate people on. That's the great thing about what we're trying to achieve and will achieve. >> It is your right. I mean, it is interesting, you know, we were just talking about this, too. Uh, we're in, you know, as an example. Shock tank. Yes, right. I mean, they obviously did it. The filming and stuff, and then they don't have the access. Let's say to the right studio. But the fact is, they had all this done. Andi, you know, they had all the rendering they had captured. Already done. You could now go out and do your chute without having all the space you needed. >> That's right. In the case of Shark Tank, which shoots a Sony Pictures studios, they knew they had a real estate issue. The fact of the matter is, there's a limited amount of sound stages around the world. They needed to sound stages and only had access to one. So we went in and we did a volumetric image acquisition of their exit interview stage. They're set. And then when it came time to shoot the second half a season ten, one hundred contestants went into a virtual set and were filmed in that set. And the funny thing is, one of the guys in the truck you know how you have the camera trucks and, you know, off offstage, he leaned into the mike. Is that you guys, could you move that plant a couple inches to the left and somebody said, Uh, I don't think we can do it right now, he said, We're on a movie lot. You could move a plant. They said No, it's physically not there. We're on innovation studios goes Oh, that's right. It's virtual mind. >> So he was fooled. >> He was pulled. In a way, we're >> being hashing it out within a team. When we heard about some of the things you know Glenn and Team are doing is think about this. If you have to teach people when we are running short of doctors, right? Yeah, if you could. With this technology and the learnings that come from here, if you could go have an expert surgeon do surgery once you're captured, it would be nice. Just imagine, to take that learning, go to the new surgeons of the future and trained them and so they can get into the act without actually doing it. So my point and all this is this is where I think we can take technology, that next level where we can not only learn from one specific industry, but we could potentially put it to human good in terms of what we could to and not only preparing the next of doctors, but also take it to the next level. >> This was a great theme to Michael Dell put out there about these new kinds of use case is that the time is now to do before. Maybe you could get there technology, but maybe aspirational. Hey, let's do it. I could see that, Glenn, I want to ask you specifically. The time is now. This is all kind of coming together. Timing's pretty good. It's only gonna get better. It's gonna be good Tech, Tech mojo Coming for the creative side. Where were we before? Because I can almost imagine this is not a new vision for you. Probably seen it now that this house here now what was it like before for, um and compare contrast where you were a few years ago, maybe decades. Now what's different? Why? Why is this so important >> for me? There's a fundamental change in how we can create content and how we can tell stories. It used to be the two most expensive words in the movie TV industry were what if today that the most important words to me or what if Because what if we could collapse geography? What if we could empower a new story? Technology is at a place where, if we can dream it. Chances are we can make it a reality. We're changing the dynamics of how we may content. He used to be lights, action camera. I think it's now lights, action, compute power action, you know, is that kind of difference. >> That is an amazing vision. I think society now has opportunities to kind of take that from distance learning to distance connections, the distance sharing experiences, whether it's immersion, virtual analog face, the face could really be powerful. Yeah, >> and this is not even a year old. >> That's right. >> So if you look at your your launch, you said, I think let june fourth twenty eighteen. What? Where do you go from here? I mean, like we said, this is like, unlimited possibilities. But besides putting Robbie in the movie, naturally, Yes, of course I have >> a star here >> who? E. >> So I got to say he's got star power. >> What's what's next year? Exactly? >> Very exciting. I will say we have shark tank Thie Advanced Imaging Society gives an award for being the first volume met you set ever put out on the airwaves. Uh, for that television show is a great honor. We have already captured uh, men in black. We captured a fifty thousand square foot stage that had the men in black headquarters has been used for commercials to market the film that comes out this June. We have captured sets where television shows >> and in hopes, that they got a second season and one television show called up and said, Guys, we got the second season so they don't have to go back to what was a very expensive set and a beautiful set >> way captured that set. It reminds me of a story of productions and a friend of mine said, which is every year. The greatest gift I have is building a beautiful set and and to me, the biggest challenges. When I say, remember that sent you built four years ago? I need that again. Now you can go >> toe. It's hard to replicate the exact set. You capture it digitally. It lives. >> That's exactly it. >> And this is amazing. I mean, I'd love to do a cube set into do ah, like a simulcast. Virtually. >> So. This is the next thing John and Lisa. You guys could be sitting anywhere going forward >> way. You don't have to be really sitting here >> you could be doing. What do you have to do? And, you know, you got everything rendered >> captured. We don't have to come to Vegas twenty times a year. >> We billed upset once. You >> know you want to see you here believing that So I'LL take that >> visual is a really beautiful thing. So if we can with hologram just seeing people doing conscious with Hollywood. Frank Zappa just did a concert hologram concert, but bringing real people and from communities around the world where the localization diversity right into a content mixture is just so powerful. >> Actually, you said something very interesting, John, which is one of the other teams to which is, if you have a globally connected society and he wanted try and personalize it to that particular nation ethnicity group. You can do that easily now because you can probably pop in actors from the local area with the same. Yeah, think about it. >> It's surely right. >> There's a cascade of transformations that that this is going Teo to generate. I mean just thinking of how different even acting schools and drama schools will be well, teaching people how to behave in these virtual environments, right? >> How to immerse themselves in these environments. And we have tricks up our sleeves that Khun put the actor in that moment through projection mapping and the other techniques that allow filmmakers and actors to actually understand the world. They're about to stepped in rather than a green screen and saying, OK, there's going to be a creature over here is gonna be blue Water falls over there will actually be able to see that environment because that environment will exist before they step on the stage. >> Well, great job the Del Partnership. On my final question, Glenn, free since you're awesome and got a great vision so smart, experienced, I've been really thinking a lot about how visualization and artistry are coming together and how disciplines silo disciplines like music. They do great music, but they're not translating to the graphics. It was just some about Ray tracing and the impact with GP use for an immersive experiences, which we're seeing on the client side of the house. It del So you got the back and stuff you metrics. And so, as artist trees, the next generation come up. This is now a link between the visual that audio the storytelling. It's not a siloed. >> It is not >> your I want to get your vision on. How do you see this playing out and your advice for young artists? That might be, you know, looked as country. What do you know? That's not how we do it. >> Well, the beautiful thing is that there are new ways to tell stories. You know, Hollywood has evolved over the last century. If you look at the studios and still exist, they have all evolved, and that's why they do exist. Great storytellers evolved. We tell stories differently, so long as we can emotionally relate to the story that's being told. I say, Do it in your own voice. The cinematic power is among us. We're blessed that when we look back, we have that shared experience, whether it's animate from Japan or traditional animation from Walt Disney everybody, she shares a similar history. Now it's opportunity to author our new stories, and we can do that and physical assets and volumetric assets and weaken blend the real and the unreal. With the compute power. The world is our oyster. >> Wow, >> What a nice >> trap right there. >> Exactly. That isn't my job. The transformation of of Hollywood. What it's really like the tip of the iceberg. Unlimited story potential. Thank you, Glenn. Thank you. This has been a fascinating cannot wait to hear, See and feel and touch What's next for Sony Animation studios With your technology power, we appreciate your time. >> Thank you. Thank you both. Which of >> our pleasure for John Carrier? I'm Lisa Martin. You're watching the Cube lie from Del Technologies World twenty nineteen We've just wrapped up Day two we'LL see you tomorrow.

>> Live from Las Vegas. It's the queue covering del Technologies. World twenty nineteen. Brought to you by Del Technologies and its ecosystem partners. >> Welcome back to Las Vegas. Lisa Martin with John Ferrier. You're watching the Cube live at Del Technologies World twenty nineteen. This is our second full day of Double Cube set coverage. We've got a couple of we got a really cool conversation coming up for you. We've got Robbie Pender County, one of our alumni on the cue back as VP product management server solutions. Robbie, Welcome back. >> Thank you, Lisa. Much appreciated. >> And you brought some Hollywood? Yes, Glenn Glenn er, president of Sony Innovation Studios. Glenn and welcome to the Cube. >> Thank you very much. It's great to be here. >> So you are love this intersection of Hollywood and technology. But you're a filmmaker. >> Yeah, I have been filming movies for many years. I started off making motion pictures for many years. Executive produced him and oversaw production for them at one of our movie labels called Screen Gems, which is part of Sony Pictures. >> Wait a tremendous amount of evolution of the creative process being really fueled by technology and vice versa. Sony Innovation Studios is not quite one year old. This is a really exciting venture. Tell us about that and and what the The impetus was to start this company. >> You know that the genesis for it was based out of necessity because I looked at a nice Well, you know, I love making movies were doing it for a long time. And the challenge of making good pictures is resource is and you never get enough money. Believe or not, you never get enough money and never get enough time. That's everybody's issue, particularly time management. And I thought, Well, you know, we got a pretty good technology company behind us. What if we looked inward towards technology to help us find solutions? And so innovation studios is born out of that idea on what was exciting about it was to know that we had, uh, invited partners to the game right here with Del so that we could make movies and television shows and commercials and even enterprise solutions leaning into state of the art and cutting edge technology. >> And what some of the work private you guys envision coming out this mission you mentioned commercials TV. Is it going to be like an artist's studio actor actress in ball is take us through what this is going to look like. How does it get billed out? >> I lean into my career as a producer. To answer that one and say is going to enable that's one of the greatest things about being a producer is enabling stories, uh, inspiring ideas to be green lit that may not have been able to be done so before. And there's a key reason why we can't do that, because one of our key technologies is what we call the volumetric image acquisition. That's a lot of words. You probably say. What the heck is that? But a volumetric image acquisition is our ability to capture a real world, this analog world and digitize it, bring it into our servers using the power of Del and then live in that new environment, which is now a virtual sets. And that virtual set is made out of billions and trillions in quadrillions of points, much like the matter around us. And that's a difference because many people use pixels, which is interpretation of like we're using points which is representative of the world around us, so it's a whole revolutionary way of looking at it. But what it allows us to do is actually film in it in a thirty K moving volume. >> It's like a monster green screen for the world. Been away >> in a way, you're you're you're interaction around it because you have peril X, so these cameras could be photographing us. And for all you know, we may not be here. Could be at stage seven at Innovation Studios and not physically here, but you couldn't tell the >> difference. This is like cloud computing. We talking check world, you don't the provisional these resource is you just get what you want. This is Hollywood looking at the artistry, enabling faster, more agile storytelling. You don't need to go set up a town and go get the permit. All the all the heavy lifting you're shooting in this new digital realm. >> That's right. Exactly. Now I love going on location on There's a lot to celebrate about going on location, but we can always get to that location. Think of all the locations that we want to be in that air >> base off limits. Both space, the one I >> haven't been, uh, but but on said I've been I've walked on virtual moons and I've walked on set moons. But what if we did a volumetric image acquisition of someone set off the moon? Now we have that, and then we can walk around it. Or what if there's a great club, a nightclub? This says guys and wanted to shoot here. But we have performances Monday night, Tuesday night, Wednesday night there. You know they have a job. What? We grabbed that image acquired it. And then you could be there anytime you want. >> Robbie, we could go for an hour here. This is just a great comic. I >> completely agree with >> you. The Cube. You could You could sponsor a cube in this new world. We could run the Q twenty four seven is absolutely >> right. And we don't even have >> to talk about the relationship with Dale because on Del Technologies, because you're enabling new capabilities. New kind of artistry, just totally cool. Want to get back to the second? But you guys were involved. What's your role? How do you get involved? Tell the story about your >> John. I mean, first and foremost one of the things didn't Glendon mention is he's actually got about fifty movies to his credit. So the guy actually knows this stuff. So which is absolutely fantastic. So we said, How do you go take coverage to the next level? So what else is better than trying to work something out, wherein we together between what Glenn and Esteem does at the Sony Innovation Labs for Studio Sorry. And as in Dead Technologies could do is to try and actually stretch the boundaries of our technology to a next tent that when he talks about kazillion bytes of data right one followed by harmony, our zeros. We have to be able to process the data quickly. We have to be able to go out and do their rendering. We probably have to go out and do whatever is needed to make a high quality movie, and that, I think, in a way, is actually giving us an opportunity to go back and test the boundaries of their technology. They're building, which we believe this is the first of its kind in the media industry. If we can go learn together from this experience, we can actually go ahead and do other things in other industries do. Maybe. And we were just talking about how we could also take this. He's got his labs here in Los Angeles, were thinking maybe one of the next things we do based on the learning to get. We probably could take it to other parts of the world. And if we are successful, we might even take it to other industries. What if we could go do something to help in this field of medicine? >> It's just thinking that, right? Yes. Think >> about it. Lisa, John. I mean, it's phenomenal. I mean, this is something Michael always talks about is how do we as del technologies help in progress in the human kind? And if this is something that we can learn from, I think it's going to be phenomenal. >> I think I think that's so interesting. Not only is that a good angle for Del Technologies, the thing that strikes me is the access to artist trees, voices, new voices that may be missed in the prop the vetting process the old way. But, you know, you got to know where we're going. No, in the venture, cobble way seen this with democratization of seed labs and incubators where, if you can create access to the story, tells on the artists we're gonna have one more exposure to people might have missed. But also as things change, like whether it's Ray Ray beaming and streaming we saw in the gaming side to volumetric or volumetric things, you're gonna have a better canvas, more paint brushes on the creative side and more action. Is that the mission to get AC Get those artists in there? Is it? Is that part of the core mission submission? Because you're going to be essentially incubating new opportunities really fast. >> It's, uh, it's very important to me. Personally. I know it speaks of the values of both Sony and L. I like to call it the democratization of storytelling. You know, I've been very blessed again, a Hollywood producer, and we maybe curate a certain kind of movie, a certain kind of experience. But there's so many voices around the world that need to be hurt, and there are so many stories that otherwise can't be enabled. Imagine a story that perhaps is >> a unique special voice but requires distance. It requires five disparate locations. Perhaps it's in London Piccadilly Circus and in Times Square. And perhaps it's overto Abu Dhabi on DH Libya somewhere because that's part of the story. We can now collapse geography and bring those locations to a central place and allow a story to be told that may not otherwise have been able to be created. And that's vital to the fabric of storytelling. Worldwide >> is going to change the creative process to You don't have to have that waterfall kind of mentality like we don't talk about intact. You're totally distributed content, decentralized, potentially the creative process going change with all the tools and also the visual tools. >> That's right. It's >> almost becoming unlimited. >> You want it to be unlimited. You want the human spirit to be unlimited. You want to be able to elevate people on. That's the great thing about what we're trying to achieve and will achieve. >> It is your right. I mean, it is interesting, you know, we were just talking about this too. We're in, you know, as an example, shock tank. Yes, right. I mean, they obviously did it the filming and stuff, and then they don't have the access, let's say to the right studio, but The fact is, there had all this done on DH. No, they had all the rendering. They had the captured already done. You could now go out and do your chute without having all the space you needed. >> That's right. In the case of Shark Tank, which shoots a Sony Pictures studios, they knew they had a real estate issue. The fact of the matter is, there's a limited amount of sound stages around the world. They needed to sound stages and only had access to one. So we went in and we did a volumetric image acquisition of their exit interview stage. They're set. And then when it came time to shoot the second half a season ten, one hundred contestants went into a virtual set and were filmed in that set. And the funny thing is, one of the guys in the truck you know how you have the camera trucks and, you know, off offstage, he leaned into the mike. Is that you guys, could you move that plant a couple inches to the left and somebody said, Uh, I don't think we can do it right now, he said. We're on a movie lot. You could move a plant. They said, No, it's physically not there. We're on innovation studios goes Oh, that's right. It's virtual mind. >> So he was fooled. >> He was pulled. In a way, we're >> being hashing it out within a team. When we heard about some of the things you know Glenn and Team are doing is think about this. If you have to teach people when we are running short of doctors, right? Yeah, if you could. With this technology and the learnings that come from here, if you could go have an expert surgeon do surgery once you're captured, it would be nice. Just imagine, to take that learning, go to the new surgeons of the future and trained them and so they can get into the act without actually doing it. So my point in all this is this is where I think we can take technology, that next level where we can not only learn from one specific industry, but we could potentially put it to human good in terms of what we could to and not only preparing the next of doctors, but also take it to the next level. >> This was a great theme to Michael Dell put out there about these new kinds of use case is that the time is now to do before. Maybe you couldn't get there with technology, but maybe aspirational, eh? Let's do it. I could see that. Glenn, I want to ask you specifically. The time is now. This is all kind of coming together. Timing's pretty good. It's only gonna get better. It's gonna be good. Tech, Tech mojo Coming for the creative side. Where were we before? Because I could almost imagine this is not a new vision for you. Probably seen it now that this house here now what was it like before for, um and compare contrast where you were a few years ago, maybe decades. Now what's different? Why? Why is this so important? >> You know, for me, there's a fundamental change in how we can create content and how we can tell stories. It used to be the two most expensive words in the movie TV industry were what if today that the most important words to me or what if Because what if we could collapse geography? What if we could empower a new story? Technology is at a place where if we can dream it. Chances are we can make it a reality. We're changing the dynamics of how we may content. He used to be lights, action, camera. I think it's now lights, action, compute power action, you know, is that kind of difference. >> That is an amazing vision. I think society now has opportunities to kind of take that from distance learning to distance connections, the distance sharing experiences, whether it's immersion, virtual analog face the face. I could really be powerful. Yeah, >> and this is not even a year old. >> That's right. >> So if you look at your your launch, you said, I think let june fourth twenty eighteen. What? Where do you go from here? I mean, like we said, this is like, unlimited possibilities. But besides putting Robbie in the movie, naturally, Yes, of course I have >> a star here >> who video. >> So I got to say he's got star power. >> What's what. The next year? Exactly. >> Very exciting. I will say we have shark tank Thie Advanced Imaging Society gives an award for being the first volume metric set ever put out on the airwaves. Uh, for that television show was a great honor. Uh, we have already captured, uh, men in black. We captured a fifty thousand square foot stage that had the men in black headquarters has been used for commercials to market the film that comes out this June. We have captured sets where television >> shows and in the in hopes that they got a second season and one television show called up and said, Guys, we got the second season so they don't have to go back to what was a very expensive set and a beautiful set >> Way captured that set. It reminds me of a story of productions and a friend of mine said, which is every year. The greatest gift I have is building a beautiful set and and to me, the biggest challenges. When I say, remember that sent you built four years ago. I need that again. Now you can go >> toe hard, replicate the exact set, you capture it digitally. It lives. >> That's exactly it. >> And this is amazing. I mean, I'd love to do a cube set into do ah, like a simulcasts. Virtually. >> So. This is the next thing John and Lisa. You guys could be sitting anywhere going forward. We don't have to be really sitting here you could be doing. What do you have to do? And, you know, you got everything rendered >> captured. We don't have to come to Vegas twenty times a year. >> We billed upset once >> You want to see you here believing that So I'LL take that >> visual is a really beautiful thing. So if we can with hologram just seeing people doing conscious. But Hollywood Frank Zappa just did a concert hologram concert, but bringing real people and from communities around the world where the localization diversity right into a content mixture is just so powerful. >> Actually, you said something very interesting, John, which is one of the other teams to which is, if you have a globally connected society and he wanted try and personalize it to that particular nation ethnicity group. You can do that easily now because you can probably pop in actors from the local area with the same city. Yeah, think about it. >> It's surely right. >> There's a cascade of transformations that that this is going Teo to generate. I mean just thinking of how different even acting schools and drama schools will be well, teaching people how to behave in these virtual environments, right? >> How to immerse themselves in these environments. And we have tricks up our sleeves that Khun put the actor in that moment through projection mapping and the other techniques that allow filmmakers and actors to actually understand the world. They're about to stepped in rather than a green screen and saying, OK, there's going to be a creature over here is gonna be blue Water Falls over there will actually be able to see that environment because that environment will exist before they step on the stage. >> Well, great job the Dale Partnership On my final question, Glenn free since you're awesome and got a great vision so smart, experienced, I've been really thinking a lot about how visualization and artistry are coming together and how disciplines silo disciplines like music. They do great music, but they're not translating to the graphics. It was just some about Ray tracing and the impact with GP use for immersive experiences, which was seeing on the client side of the house. It del So you got the back and stuff, but you metrics. And so, as artist trees, the next generation come up. This is now a link between the visual that audio, the storytelling. It's not a siloed. >> It is not >> your I want to get your vision on. How do you see this playing out and your advice for young artists? That might be, you know, looked as country. What do you know? That's not how we do it. >> Well, the beautiful thing is that there are new ways to tell stories. You know, Hollywood has evolved over the last century. If you look at the studios and still exist, they have all evolved, and that's why they do exist. Great storytellers evolved. We tell stories differently, so long as we can emotionally relate to the story that's being told. I say Do it in your own voice. The cinematic power is among us. We're blessed that when we look back, we have that shared experience, whether it's animate from Japan or traditional animation from Walt Disney, everybody shares a similar history. Now it's opportunity to author our new stories and we can do that and physical assets and volumetric assets and weakened blend the real and the unreal. With the compute power. The world is our oyster. >> Wow, >> What a nice >> trap right there. >> Exactly that is, um I dropped the transformation of Hollywood. What? And it's really think the tip of the iceberg. Unlimited story potential. Thank you, Glenn. Thank you. This has been a fascinating cannot wait to hear, See and feel and touch What's next for Sony Animation studios With your technology power We appreciate your time. >> Yeah, Thank you. Thank you both of >> our pleasure for John Farrier. I'm Lisa Martin. You're watching the Cube lie from Del Technologies World twenty nineteen We've just wrapped up Day two we'LL see you tomorrow.

>> From the Salesforce Tower in downtown San Francisco, it's theCUBE, covering Accenture Tech Vision 2019, brought to you by SiliconANGLE Media. >> Hey, welcome back everybody. Jeff Frick here with theCUBE. We're in downtown San Francisco with a brand newly open Salesforce Tower, the 33rd floor, the middle of the brand new Accenture Innovation Hub. We're excited to have our next guest, who's been part of the Innovation Labs and the Innovation Hubs and a lot of innovation in the center for years and years and years. You've seen him before, we're at the 30th anniversary, I think last year. All the way from Paris, is Marc Carrel-Billiard. He is the Senior Managing Director for Accenture Labs. Marc, great to see you again. >> Great to see you Jeff again as well, I'm so happy. >> So, what do you think of the new space here? >> I love it, I just love it. I saw it building and everything and now it's ready, and we open it today, I mean it's just amazing. The stairs, did you see the stairs? >> I saw the stairs, yes. >> Really amazing, everything's good there. I think it's not an office, like Paul already said, it's really something better and I think it's a tool for explaining what is innovation at Accenture at play, I mean, how we use it, how we connect the labs, we use the liquid studio, all the ventures and everything, that's great. >> Great. But now it's all brought together, right? You had a couple satellite locations in the Bay Area-- >> Yeah and I think that with the story of putting all this stuff in what we call the Innovation Center, the Innovation Hub, and so putting everything in the same building and have different floors where we can address different talking with our clients. Are we talking about research? Are we talking about more polythiophene? Are we talking about, I mean ideally, it's all about driving innovation at scale. >> Right, right. >> At scale. >> So, we're here for the technology vision-- >> We are. >> Which will be in, in a little bit and then, Paul and they team will present-- >> Yep, they will. >> Five new transfer for 2018. One of the ones they called is DARQ, D-A-R-Q, >> I know. >> Which is distributed ledger technologies, formerly known as blockchain, but we don't want to call it blockchain. AI, extended reality, which is every kind of form, extended, augmented-- >> Mix relating everything, that's right. >> And quantum computer. >> You bet. >> So, from the labs point of view, from an Accenture kind of innovation looking forward, inventing the future, as you like to say, which I think is a great tagline, what are some of your priorities going forward, now that you got this great new space? Which is one of what I think 11 in the United States, right? >> So, my priorities are all of them, I mean, all of the above! Because I was like, do you remember at the time we were talking about SMAC? Like Social Mobility, there was analytics and cloud. I would say that DARQ is the new SMAC. So, we saw that basically, that technology has evolved and, from analytics, we'd like more AI work and everything, but it's still being combined and everything. You can still think about social media, collaborative stuff, we going to go through immersive reality where we going to continue collaborating. Think about cloud. I mean, just like cloud will bring you height, throughput computing power through the cloud. Well, I mean, also quantum computing can give you like amazing capability in terms of computing power. So I would say probably, like, DARQ is a new SMAC and so the lab has been working on it since, I would say, not since day one, but at the very beginning. And so, well obviously distributed ledger, you know that we have a lab in Sophia Antipolis, they're really spending a lot of time in the blockchains. So there's a couple of things that we're doing. I give you a couple of ideas. One is, maybe people talk about blockchains, and there's bunch of blockchains all over, there's like blockchains for manufacturing, there's blockchains for trade finance, there's blockchains for this and that. Problem is there's no very good interoperability between those blockchains. One thing that the lab is going to be working is how we can interoperate between those different blockchains. So you are basically a supply chain, you want to connect to a financial organization, how their blockchain will connect to your blockchain. Number one. The second thing we're going to be working on is the SMAC contract. The lab believes the SMAC contract is not smart enough. So we going to add more artificial intelligence in the SMAC contract to see what we could do better. Think about this SMAC contract as a stock procedure in database. How we make those stock procedure a little bit better. I mean, it's just analogy type of thing. >> Obviously, the blockchain conversation, any kind of demo, talking about DHL-- >> Yeah, DHL, exactly. >> But is that logistics, that merchandise move through their system, as you said, there's a lot of different touch points with a lot of different systems. So it's not an aggregated system, it's a problem, and the other thing is you don't necessarily need all the data for each person, >> You don't. >> Or transaction all along the line, right? >> You're absolutely right. And I talk about interoperability between blockchains, but there's going to be also interoperability between the blockchain that you're implementing and the legacy environment that you have. And this needs to be addressed as well. So lot of thinking about blockchains, I've always said for me that blockchain is the digital right management of your future. That kind of protocol, and we're working with companies that are basically creating movies and stuff like that, and how we leverage blockchain to change those movies between different parties. I mean, there's going to be a lot of cool stuff that we're going to be able to do. So that's blockchain. The D for distributed ledger. A for artificial intelligence. So artificial intelligence obviously is something very beginner labs. We have three labs that are delegated to artificial intelligence. >> Three? >> Yup, out of seven. One here, San Francisco. The other one in Bangalore, and the third one in Dublin, Ireland. And each of them are covering a little part of the things that we want to do with artificial intelligence. It's all about accelerating the artificial intelligence, so how we're going to think about new infrastructure, a new way of doing machine learning, using weak labeling, it's all about explainable AI, how you're going to connect the knowledge graph with machine learning, so that's the probabilistic model will give you an explanation of why they've decided to select this picture, or this information and so forth. And basically the other things we're going to be working on, artificial intelligence, is that human-machine interaction, and one thing that we want to address is what we call the conversational aspect of virtual agents. If you look at virtual agents today, voice comment type of things. >> Right, right. >> You can't really engage in a conversation. I want to look at that. How they're going to understand context, and how you're going to be exchanging better, and how you're going to flow a better conversation with that. One thing that's going to be very important in everything that we're doing is going back to semantic network, knowledge management, knowledge graph. How we combine knowledge graph with all these machine learning capabilities. That's artificial intelligence in the lab. >> Then you get, we'll just work down the list, right, then you've got the extended reality. >> Extended reality. >> So whatever kind of reality it is. >> So we're going to continue doing a lot of stuff for extended reality, immersive learning, we're going to use that, I think what's going to be important for us is that not to look at extended reality just from a vision standpoint, but try to use the combinatorial effect of every immersive sense that you have. So like, basically, hearing, also, smelling, touching the aptic, and how you combine all those senses to change completely, not the vision, but the experience. What you really feel. In fact, if you go to this Innovation Hub, I don't know if you've seen that we have an igloo-- >> We did, I saw the 360. >> That's right the 360, to try to immerse you already in some quantum computing experience, I think it's a good segue way also for quantum. So quantum, is that we've been doing a lot of progress with quantum too, you know, two years ago we started already to work with D-wave and then we have work with this company called 1QBit, so we build a software, so we use their software development kit, to program the quantum computer, and then we work with Biogen to do drug discovery, and changing the way you do that, by accelerating that through quantum computing. But we've continued, we've announced basically some partnership with IBM to look at their platform, we're continuing working with other interesting platform like Fujitsu, their Digital Annealer, and so forth, and what we want to do is that Accenture is very, very agnostic related to all those vendors. What we want to do is that we want to understand more about how you program those different architecture, how you see what type of problems they can solve, and how based you can program them. And so if we use the Abstraction Layer on top of all the others, and we can program on top of that, this is really cool, this is exactly what we want to do. >> So how close is it? How close is it to getting the production ready? I mean, you got it in the new vision for 2019, I mean, what are people just playing with it or is it ready for prime-time. >> No, no, no. >> Where is it these days? >> So first of all, DARQ stuff, all the people, all of our clients-- >> I mean quantum specifically. >> Okay quantum-specific. I think we're talking about three to five years to start to have real solutions. Right now, we have prototype, but we're moving to more pilot, and I think the solution will come soon. Probably in five years time, we're starting to ascend soon. Let me give you another idea. >> So the order of magnitude difference in the way that you can compute, the AI. >> Exactly, and I think that's going to change the game. It's going to change the game on everything. Let me give you maybe a last example that I'm sure you're going to love. And it's all about optimization matchmaking. Our tech vision this year is all about hyper-personalization, plus on-demand delivery, and so that's how at the moment, you know, you're going to change the game. The momentary moment. How you're going to change the reality of people. What you're going to be able to do. I'm going to tell you that, where we're going to use quantum computing. We're going to use quantum computing to do a better matchmaking between a person who is waiting for an organ and an organ that you can transplant to this person. And the moment is the accident that happens on the street. There's going to be someone basically dying on the street, so someone dead and then you need, basically, to get this organ, it could be a kidney, for example, every organs have a time-lapse that you can use basically to transport that to someone else. Now the question is that you have the organ, it's in basically an ice-cubed environment-like box, and then you transplant that to someone, you have like few hours to figure out who are the best receiver. And this is hyper-personalization, because you need to understand the variable of all the body that is going to receive that but all the variables of the organ, until now is all main front to do the matchmaking. We're rethinking that using quantum computing. >> It's just wild, you know, what the cloud really enabled to concept. If you had infinite compute, infinite store, and infinite networking, at basically free, asymptotically approaching free, what would you build? And that's a very different way to think about problems. >> Not only will we build some amazing things, but I think we would change the reality of every people. Every people will have their own reality that they could use product and service the way they want it, and this will be a completely different, not a world, but a game set, that would be completely different. >> Marc, we're almost out of time, but I just want to ask you about Pierre, former CEO of Accenture passed away recently, and I was really struck by the linked investors. So many people, you know, I follow you, I follow Paul, a lot of people posted, what a special man, and what an impact he had, sounds really personally with most of the leadership here in Accenture. I was wondering if you could share a few thoughts. >> Well obviously, I mean, everyone's been very sad that we lost Pierre. I mean, he was just an amazing person. He was really a role model, not only in business, but in life. And he was so fun about fun of innovations, he loved the labs, he loved what we could do in it, I think he was really thinking about better future for the people, better future for the world, and everything, and it was really amazing for that. Everyone was struck really to see that. But I think there was so many testimonials pouring from our people, but what I was even more amazed was our clients. He really moved clients. And his visions is an amazing legacy for Accenture, and we're going to, I mean, this is so precious what he left us and I think that I really want the lab, every day that we're inventing something, I'm always thinking about Pierre and what he would have thought about these things. He was always enthusiastic reading our research paper and everything, so definitely the lab's going to continue to innovate, and I hope that Pierre, wherever he is, will be watching. >> I'm sure he's smiling down. >> And will be happy with that. >> Alright, well Marc, thanks a lot for taking a few minutes and congratulations on this continual evolution of what you guys are doing with labs and Innovation Centers, and now the Innovation Hub here in downtown San Francisco. >> Thanks, Jeff. >> Alright. He's Marc, I'm Jeff, you're watching theCUBE. We're at downtown San Francisco at the Accenture Innovation Hub as part of the Accenture Technology Vision 2019 presentation. Thanks for watching. See you next time. (light electro music)

(upbeat music) >> Live from Barcelona Spain, it's theCUBE. Covering Cisco Live! Europe. Brought to you by Cisco and its ecosystem partners. >> Hi everyone welcome back to the theCUBE's live coverage here in Barcelona, Spain for Cisco Live! Europe 2019. I'm John Furrier and my co-host Stu Miniman, Dave Vellante is out there as well co-hosting this week. Our next guest is John Apostolopoulos who's the VP and CTO for the Enterprise Networking Business, Unit Lab Director for the Innovation Labs. Here to talk with us about AI and some great innovations. John thanks for coming on theCUBE, great to see you. >> Thank you for inviting me, pleasure to be here. >> So, Cisco has some big announcements, the messages coming together certainly the bridge for the future, bridge for tomorrow, whatever the phrase is. You know, kind of looking at that new world connecting on premise, cloud, ACI anywhere, hyper-flex anywhere, lot of complexity, being mis-tracked the way with software, separate from the V-Comp from the hardware, lot of scale in the cloud and IoT and all around the edge. So software is a big part of this. >> Oh yes. >> So can't help but think, okay complexity, scale, you see Facebook using machine learning. Machine learning and AI operations now, a real conversation for Cisco. >> Yeah. >> Talk about what that is, how are you guys looking at AI, and machine learning in particular, it's been around for a while. What's your thoughts on Cisco's position and opportunity? >> Sure, yeah. Cisco's been investing or using AI for many, many years. What happens to Cisco, like most companies, we haven't really talked about the machine learning as a term because machine learning is a tool used to solve different problems. So you talk about, what are the customer problems we have? And then we saw, no matter how good our solution is, but we haven't really talked about the details about the how but, we've using at Cisco, like myself from past careers and so forth for many many years some machine learning. Security has been using it for multiple decades for example. >> And where's the use case for machine learnering, because it's one of things where there's different versions and flavors of machine learning. Machine learning we know powers AI and data feeds machine learning, so do you have all these dependencies and all these things going on, how do you...how should someone think about sorting through machine learning? >> Well machine learner itself that term is a very broad term, it's almost as big as computer science, right? So that's where a lot of the confusion comes in. But what happens is you can look up what types of problems we want to solve, and when you try to look at what types of problems we want to solve, some of them...for example some problems you can exploit the fact that the laws of physics that apply and if the laws of physics apply, you should use those laws. We can either figure out that if we drop this, this will fall at some speed by measuring it and using a machine learning or we have gravitational force and friction with the air and re-account for that and figure it out. So the many ways to solve these problems and we want to choose the best method for solving each one of them. >> And when the people think about Cisco, the first reaction isn't "Oh machine learning... innovator." What are you guys using machine learning for? Where has it been successful? What are you investing in? Where's the innovation? >> Sure sure, so there's a lot of problems here that come into play. If you look at...if you look at a customer problems, one example is all the digital disruption. We have on the order of a million devices, new devices coming on to the network every hour throughout the world. Now, what are those devices? How should you treat them? With machine learning we're able to identify what the devices are and then figure out what the network caches should be. For instance when IoT device you want to protect it, protect it from others. Another big topic is operations. As you know people spend, I think it was The Gardner identified that people spend about sixty-billion dollars per year on operations costs, why is it so much? Because most of the operations are manual, about 95% manual, which also means that these changes are slow and error-prone. What we do there is we basically use machine learning to do intelligent automation and we get a whole bunch of insights about what's happening and use that to drive intelligent automation. You may have heard about Assurance, which was announced at Cisco Live, one year ago at Barcelona and both in the campus with DNA Center we announced Cisco DNA Center Assurance and the data center went out, network and network analytic engine. And what both of these do is they look at what's happened to the network, they apply machine learning to identify patterns and from those patterns, identify, is there a problem, where's the problem? How can we...what's the root cause and then how can we solve that problem quickly? >> John, can you help us connect where this fits in a multi-cloud environment? Because what we've seen the past couple of years is when we talk about managing the network, a lot of what I might be in charge of managing, is really outside of my purview and therefore I could imagine something like ML is going to be critically important because I'm not going to be touching it but therefore I still need to have data about it and a lot of that needs to happen. >> Yeah, well one of the places ML helps with multi-cloud is the fact you need to figure out which...where to send your packets, and this comes with SD-WAN. So with SD-WAN we often have multiple paths available to us and let's say with the move to Office365, people are using the SaaS service and they want to have very good interactivity. One of the things we realized is that by carefully selecting which path we can use, at the branch and the campus too, we could get a 40% reduction in the latency. So that's a way we choose which colo or which region or which side of Office365 to send the packets to, to dramatically reduce latency. >> What's the role of data? Because when you think about it, you know, moving a packet from point A to point B, that's networking. Storage acts differently 'cause you store data data's got to come back out and be discovered. Now if you have this horizontal scalability for cloud, edge, core coming into the middle, get of the data 'cause machine learning needs the data, good data, not dirty data you need clean data. How do you see that evolving, how should customers then be thinking about preparing for either low-hanging use-cases. Just what's your thoughts and reaction to that? >> Yeah well the example you gave is a very interesting example. You described how you need to get data from one point to another, for instance, for my device to a data center with applications over the cloud. And you also mentioned how the many things between. What we care about, not necessarily the application data, we care about... You know we want to have the best network performance so your applications are working as well as possible. In that case we want to have an understanding of what's happening across a path so we want to pull to telemetry in all kinds of contexts to be able to understand, is there problem, where's the problem, what is it, and how to solve it. And that's what Assurance does. We pull this data from the access points the switches, from the routers, we pour, pull in all kinds of contextual information to get a rich understanding of the situation, and try to identify if there's a problem or not, and then how to solve it. >> Its the classic behavioral, contextual, paradigm of data but now you guys are looking at it from a network perspective and as the patterns changed the applications centric, programmability of the network, the traffic patterns are changing. Hence the announcements here but intent-based networking and hyper-flexed anywhere. This is now a new dynamic. Talk about the impact of that from an AI perspective. How are you guys getting out front on that? It's not just North, South, East, West, it's pretty much everywhere. The patterns are, could be application specific at any given point, on a certain segment of a network, I mean it's complex. >> Yeah, its complex. One of the really nice things about intent-based network and those, it fits in really nicely and that was by design, 'cause what happens with intent-based networking, as you know, a user expresses some intent if it's something they want to do. I want to securely onboard the SIoT device, and then it gets activated in the network, and then we use Assurance to see if it's doing the right thing. But what happens is that Assurance part, that's basically gathering visibility and insight in terms of what's happening. That's using machine learning to understand what's happening in the network across all these different parts that you mentioned. And then, what happens is we take those insights and then we make intelligent actions and that's part of the activation. So this...with intent based network in this feedback loop that we have directly ties with using the data for getting insights and then for activation, for intelligent actions. >> John, always want to get the update on the innovation lab, is there anything particular here at the show or, what's new that you can share? >> So we're looking at extending IBN to the cloud, to multi-cloud, to multiple devices so there's a lot of really fascinating work happening there. I believe you're going to be talking to one of my colleagues later, too, T.K. He's, I think, hopefully going to talk about some of the machine learning that's been done and that's already prioritized as you know in encrypted thread analytics. That's an example of where we use machine learning to identify if there's malware in encrypted traffic. Which is really a fascinating problem. >> That's a hard problem to solve. I'm looking forward to that conversation. >> So some members of Cisco, Dave McGrew, in particular, Cisco Fellow, started working on that problem four and a half years ago. Because of his work with other colleagues, he was able and they were able to come up with a solution. So it was a very complicated problem as you saw but through the use of machine learning and many years of investment, plus the fact that Cisco's access to Talos which has, they know the threats throughout the world. They're a list of data in terms of all kinds of threats that's massive. That's pretty powerful. >> The volume, that's where machine learning shines. I mean you see the amount of volume of data coming in, that's where it could do some heavy lifting. >> Exactly, that's one of Cisco's strengths. The fact that we have this massive view on all the threats throughout the world and we can bring it to bear. >> Network security foundation only just creates so much value for apps. Final question for you, for the folks watching, what's in you opinion the most important story here at Cicso Live Barcelona, that people should be paying attention to? >> I think how we are trying to extend across all these different domains and make it like one network for our customers. This is still a journey and it's going to take time but with intent based networking we can do that. We're going across campus, WAN, data center to multi-cloud. >> How hard is cross domain, just put it in perspective. Cross domains reversal and having visibility into these, from a latency, from a physics standpoint, how hard is it? >> It's quite hard, there's all kinds of technical challenges but there's even other sorts of challenges. This is WiFi, right? IEEE 802.11 defines the QoS standard for wireless and that's completely different than how the internet group ITEF defined it for wired. So even between wireless and wired, there's a lot of work that has to be done and Cisco's leading that effort. >> And having all that data. Great to have you on John, thanks for spending the time and demystifying machine learning and looking forward to this encrypted understanding with machine learning, that's a hard problem, looking forward to digging into that. Again, truly, the breakthroughs are happening with machine learning and adding values with application centric world. It's all about the data, it's theCUBE bringing you the data from Barcelona, I'm John with Stu Mini, stay with us for more coverage after this short break. (upbeat music)

>> Live from Seattle, Washington, it's the Cube, covering KubeCon and Cloud Native Con North America 2018. Brought to you by Red Hat, the Cloud Native Computing Foundation and its ecosystem partners. >> Welcome back everyone. We are live in Seattle for KubeCon 2018, Cloud Native Con. It's the Cube, I'm John Furrier, your host with Stu Miniman. Our next guest is Ashesh Badani, who is the Vice-President and General Manager of Cloud Platforms at Red Hat. Great to see you, welcome back to the Cube. >> Thanks for having me on. Always good to be back. >> So you guys, again, we talk every year with you. It's almost like a check-in. So what's new? You got some big, obviously, the news about the IBM. We don't really want to get into that detail. I know you just a stop on that because it's already out there. But you guys had great success with platformers of service. Now you got the growth of Kubecon and Cloud Native Con, 8000 attendees and users. There's uptake. What's the update on the Red Had side? >> Yeah, we're excited. Excited to be back at Kubecon. It's bigger and better than it's ever been, I think so. That's fantastic. We've been investing in this community for over four years now, since 2014. Really, from the earliest days. Based the entire platform on it. Continue growing that, adding lots of customers across the world. And I think what's really been gratifying for us to see is just the diversity of participants. Both in user perspective as well as the wider ecosystem. So whether you're a storage player, a networking player, management, marketing, what have you. Everything sort of building around this ecosystem. I think we're creating a great amount of value and we're seeing diverse applications being built. >> So you guys have been good then on (mumbles), good timing, a lot of things are going on. This show is an open-source community, right. And that's been a great thing. This is kind of where the end users come from. But two other personas come in that we're seeing participate heavily. The IT pro, the IT expert, and then the classic developer. So you have kind of a melting pot of how this is kind of horizontally connecting. You guys have been successful in the IT side. Where is this impacting the end users?6 How is this open-source movement impacting IT, specifically, and at the end of the day, the developers who are writing code? Have to get more stuff out. What's your thoughts? >> So, we hosted OpenShift Commons yesterday. OpenShift Commons, for the the folks who don't know, is our gathering of participants within the larger OpenShift community. We had lots of end users come and talk about the reason they're adopting a Kubernetes-based platform is to get greater productivity. So for example, if you're someone like Progressive Insurance, an established organization, how do you release applications quicker? How do you make your developers more productive? How do you enable them to have more languages, tools, frameworks at their disposal? To be able to compete in this world where you've got start-ups, you've got other companies trying to compete aggressively with you. I think it's a big dent here, right? It's not just for if you work traditional IT. But it's for if you were a company of all sizes. >> When you talk about customers, every customer is different. You've got, you look at IT, everything is additive, it tends to be a bit of a heterogeneous mess when you get there. Help connect for us what are you hearing from customers? How does, not just Kubernetes, but everything going on here in the Cloud Native environment? How is it helping them? How is it changing the way that they do their business and how's Red Hat involved? >> So one thing we've been noticing is that Hybrid Cloud is here and here to stay. So we've consistently been hearing this from customers. They've invested lots of money and time and energy, skills, in their existing environments. And they want to take advantage of public clouds. But they want to do that with flexibility, with portability, to bring to bear. What we've been trying to do is focus on exactly that. How do we help solve that problem and provide an abstraction. How do you provide primitives. So, for example, we announced our support of Knative, and how we'll make that available as part of OpenShift. Why's that? Well, how can we provide Serverless primitives within the platform so folks can have the flexibility to be able to adopt next-generation technologies. But to be able to do that consistently regardless of where they deploy. >> So, I love that. Talk about meeting the customers there. One of the things that really strikes me, there's so much change going on in the industry. And that's an area that Red Hat has a couple decades of experience. Maybe help explain how Red Hat in bringing some of that enterprise, oversight. Just like they've done for Linux for a long time. >> Yeah, yeah. Stu, you're following us very closely, as are you John, and the team at the Cube. We're trying to embrace that change as it comes upon us. So, I think the last time I was here, I was here with Alex Polvi of Core OS. Red Hat acquired Core OS in January. >> Big deal. >> Yeah, big acquisition for us. And now we're starting to see the fruits of some of that labor. In terms of integrating that technology. Why did we do that? We wanted to get more automation into the platform. So, customers have said, hey, look, I want these clusters to be more self-managing, self-healing. And so we've been really focused on saying how can we take those challenges the customers have, bring that directly into a platform so they're performing more and more like the expectations that they have in the public cloud, but in these diverse, introgenous, environments. >> That speaks to the operating model of cloud. You guys have a wholistic view because you're Red Hat. You got a lot of customers. You have the Dev House model, you got the Kubernetes container orchestration, micro-services. How does that all connect together for the customer? I mean, is it Turn Key and Open Shift? You guys had that nice bet with Core OS, pays big, huge dividends. What are some of those fruits in the operating model? So the customer has to think about the systems. It's a systems model, it's an operating system, so-to-speak. But they still got to develop and build apps. So you got to have a systems-wholistic view and be able to deliver the value. Where does it all connect? What's your explanation? >> So distributed systems are complex. And we're at the point where no individual can keep track of the hundreds, the thousands, the hundred-thousand containers that are running. So, the only way, then, to do it is to be able to say, how can the system be smart? So, at the Commons yesterday we had sort of a tongue-in-cheek slide that said, the factory of the future will only have two employees, a man and a dog. The man's there to feed the dog, and the dog's in place to ensure the man doesn't go off and actually touch the equipment. And the point really being, how can we bring technology that can bring that to bare. So, one example of that is actually through our Core OS acquisition. The Core OS team was working on a technology called, operators. Which is to say, how can we take the human knowledge that exists. To take complex software that's built by third parties and bring that natively into the platform and then have the platform go and manage them on behalf of the actual customer itself. Now we've got over 60 companies building operators. And we've, in fact, taken entire open-shift platforms, put operators to work. So it's completely automated and self-managed. >> The trend of hybrid is hot. You mentioned it's here to stay. We would argue that it's going to be a gateway to multi-cloud. And as you look at the stacks that are developing and the choices, the old concept of a stack-- and Chris was on earlier, the CTO of CNCF. And I kind of agree with him. The old notion of stack is changing because if you've got a horizontal, scale-able cloud framework, you got specialty with machine learning at the top, you got a whole new type of stack model. But, multi-cloud is what the customers want choice for. Red Hat's been around long enough to know what the multi-vendor word was years ago. Multi-vendor choice, multi-cloud choice. Similar paradigms happening now. Modern version of multi-vendor is multi-cloud. How do you guys see the multi-cloud evolution? >> So we keep investing and helping to make that a reality. So, last week, we made some announcements around Open Shift dedicators. Open Shift dedicators is the Open Shift manage service, or AWS. Open Shift is available in ways where it can be self-managed directly by customers in a variety of environments. Directly run around any public cloud or open stack, or what you'd like environment. We have third-party partners. For example, DXC D-systems providing managed versions of Open Shift. And then you can have Red Hat managed Open Shift for you. For example, on AWS, or coming next year, with Microsoft. Through our partnership for Open Shift on Azure. So you as a customer now have, I think, more choice than you ever had before. In terms of adopting Dev-Ops or dealings with micro-services. But then having flexibility with regard to taking advantage of tools, services, that are coming from, pretty much, every corner of IT industry. >> You guys have a huge install base. You've been servicing customers for many, many years, decades. Highest level support. Take us through what a customer, a traditional Red Hat customer that might not be fully embracing the cloud in the past, now is on-boarding to the cloud. What's the playbook? What do you guys offer them? How do you engage with them? What's the playbook? Is it, just buy Open Shift? Is there a series of-- how do you guys bring that Red Hat core Lenux customer that's been on Prim. Maybe a little bit out of shadow IT in the cloud, saying, hey, we're doing additional transformation. What's the playbook? >> So, great question, John. So, first fall into the transformation might be an over-hyped term. Might be a peak hype at this point in time. But I think that the bigger point from my perspective is how do you move more dollars, more euros, more spend towards innovation. That's what every company is sort of trying to do. So, our focus is, how can we build on the investments that they've made? At this point in time, (mumbles) Lenux probably has 50,000 customers. So, pretty much, every customer, any size, around the world, is some kind of Lenux user. How can we then say, how can we now provide you a platform to have greater agility and be able to develop these services quicker? But, at the same time, not forget the things that enterprises care about. So, last week we had our first big security issue released on Kubernetes. The privilege escalation flaw. And so, obviously, we participate in the community. We had a bunch of folks, along with others addressing that, and then we rolled our patches. Our patch roll-out went back all the way to version 3.2, 3.2 shipped in early 2016. Now, the one hand you say, hey, everyone has Dev-Ops, why do you need to have a patch for something that's from 2016? That's because customers still aren't moving as quickly as we'd like. So, I just want to temper, there's an enthusiasm with regard to, everyone's quick, everything's lightning fast. At the same time, we often find-- and so, going back to your question, we often find some enterprises will just take a little bit longer, in reality to kind of get-- (both speaking at once) >> Work loads, they're not going to be moving overnight. >> That's right. >> So there's some legacy from those workloads. >> Right, right. And so, what we want to do is ensure, for example, the platform. So we talked about the security and lifecycle. But, is supporting these Cloud Native, next generation, stateless applications, but also established legacy stateful applications all on the same platform. And so the work we're doing is ensure we don't-- you know, it's like, leave no application behind. So, either the work that we'll do, for example, with Red Hat Innovation Labs. We help sort of move that forward. Or with GSIs, global integrated, real integrators to bring those to bare. >> Ashesh, wonder if we could drill a little bit. There's a lot of re-training that needs to happen. I've been reading lots on there. It's not, oh, I bring in this new Cloud Native team that's just going to totally re-vamp it and take my old admins and fire them all. That's not the reality. There's not enough training people to do all of this wonderful stuff. We see how many people are at this show. Explain what Red Hat's doing. Some of the training maturation, education paths. >> So we do a lot of work on the just core training aspect, learning services, get folks up to speed. There's work that happens, for example, in CNCF. But we do the same thing around certifications, around administering the systems, developing applications, and so on. So that's one aspect that needs to be learned. But then there's another aspect with regard to how do we get the actual platform, itself, to be smart enough to do things, that in the past, individual people had to do? So, for example, if we were to sort of play out the operator vision fully and through execution. In the past, perhaps you needed several database admins. But, if you had operators built for databases, which, for example couch, base, and mongo, and others, have built out. You can now run those within the platform and then that goes and manages on behalf. Now you don't need as many database admins, you free those people up now to build actual business innovation value. So, I think what we're trying to do is increasingly think about how we sort of, if you will, move value up the stack to free up resources to kind of work on building the next generation of services. And I think that's our business transformation work. >> And I think, even though digital transformation is totally over-hyped, which I agree, it actually is really relevant. Because I think the cloud wave, right now, has been certainly validated. But what's recognized is that, people have to re-imagine how they do their infrastructure. And IT is programmable. You're seeing the network. The holy trinity of IT is storage, networking, and compute. So, when you start thinking about that in a way that's cloud-based, it's going to require them to, I don't want to say re-platform, but really move to an operating-environment that's different, that they used to have. And I think that is real. We're seeing evidence of that. With that in mind, what's next? What do you guys got on the horizon? What's the momentum here? What's the most important story that you guys are telling here at Red Hat? And what's around the corner? >> Yeah, so obviously, I talked about a few announcements that we made right around Open Shift Dedicated and the upgrades around that. And things like, for example, supporting bring-your-own-cloud. So, if you got your own Amazon security credentials, we help support that. And manage that on your behalf, as well. We've talked this week about our support native, trying to introduce more server-less technologies into Open Shift. We announced the contribution of SCD to the Cloud Native Computing Foundation. So, continuing re-affirming our commitment to the community I think looking ahead, going forward, our focus next year will be on Open Shift four, which will be the next release of the platform. And there, it's all about how do we give you a much better install than upgrade experience than you've had before? How do we give you these clusters that you can deploy in multiple different environments and manage that better for you? How do we introduce operators to bring more and more automation to the platform? So, for the next few months our focus is on creating greater automation in the platform and then enabling more and more services to be able to run on that. >> Pretty exciting for you guys riding the wave, the cloud wave. Pretty dynamic. A lot of action. You've guys have had great success, congratulations. >> Thank you very much. >> You're fun to watch. The Cube coverage here. We're in Seattle for KubeCon 2018 and Cloud Native Con. I'm John your host. Stay with us for more coverage of day one of three days of coverage after this short break. We'll be right back. (upbeat music)

>> Voiceover: Live from Boston, Massachusetts, it's the Cube covering Red Hat Summit 2017. Brought to you by Red Hat. >> Hi, I'm Stu Miniman and welcome back to the three days of live coverage here at Red Hat Summit 2017. The sixth key note of the week just wrapped up. Everybody's streamin' out. We've got a couple more segments. Happy to welcome back to the program a couple gentlemen we had on actually the Open Stack Summit. John Allessio, who'd the vice president of - And Nick Hopman, who's the senior director of Emerging Technology Practices, both with Red Hat. Gentlemen, great to see you again. >> Great to see you again Stu, good afternoon. >> Yeah, so a year ago you guys launched this idea of the Open Innovation Labs. We're opening these labs this year. You've got some customers. We actually had Optum on earlier in the week. We're going to have the easiER AG guys on, I should say - I was corrected earlier this week. I shouldn't say guys, actually I think it's two doctors, a man and a woman that are on. >> Andre and Dorothy. Andre and Dorothy - so really amazing customer testimonials for working through. So John, why don't you start with, you know, give us the update on the innovation lab program. Open and innovation get, you know, discussed a lot. Give us the real meat of what happens. >> So, just maybe a quick recap. >> Yeah. >> So Stu, we had about oh a year and a half ago or so, our strategic advisory board tell us, Red Hat, we really are looking for you to help show us the way in how to develop software, but also kind of help us leverage this culture that Red Hat has and developing software the Red Hat way. And so we worked with about a dozen clients across the globe, got a lot of great feedback on what they were looking for. We created an offering and then we launched it, as you said in Austin at Open Stack Summit. And now we've done many engagements in Europe and in North America across multiple different industries. We had here at the Summit this week actually two clients talk on the main stage, both Optum and easiER AG. And both of them have been through innovation lab engagements. Very different industries, very different clients, but what it has proven in both cases is it's really been a great way and a great catalyst to kind of spark innovation, whether it's within an existing IT infrastructure or building out some capability in particular customer environments, like we did with Optum, or kind of taking some ideas. And I'll let Dorothy and Andre tell their story when they come on and work with you. I don't want to take their thunder. But a great way to show you how we can work with a start up and really help them kind of take their vision and make it reality in an application. >> Yeah, Nick, you know, we've done so many interviews about the various pieces, lots of interesting business. It reminds me of that kind of pipelining that you talk about. One of the announcements this week was Open Shift IO, which it helps with kind of the application modernization. Can you maybe help us, you know, put together how the products that Red Hat does and what you're doing in the Open Innovation Labs, how do those go together and mesh and new stuff come in? >> It's actually kind of at the core of what we do anyway. So, we are building on top of the foundation, the technologies at Red Hat's core platform. But in a residency with Open Innovation Labs we are tying in other technologies, other things outside of the Stack. But with like Open Shift IO, what we've created was what we called the push button infrastructure. How are we showing with the process and everything to innovate on top of the Red Hat technology? How do we accelerate that journey? And so we created what was called the push button infrastructure to show that foundational acceleration, and Open Shift IO is actually now kind of part of that core. And adding in other components, other technologies that Red Hat has, whether it's our ISV partners, things in Open Shift commons, all those things to accelerate the application development experience. And so I think with Open Shift IO and as Red Hat continues to evolve in the development kind of tooling landscape, you're going to see how we are helping our customers do cloud data of application development more so than ever before. >> Yep, and maybe to add to that too, Nick, we were talking to a client this morning about some of their challenges and their priorities for this current physical year, And that particular client was talking about Jenkins and a number of non-Red Hat technologies as well because at the end of the day, our customers have Red Hat products, have non-Red Hat products. I think the great thing that maybe you can mention is when you look at that push button infrastructure that we've built, it's not really a Red Hat thing, although it clearly is tied to the Red Hat technology. But it's even bigger than that. And I think that would be important for the team to understand. >> Yeah so we actually have online is what we call our text stack, and it allows the customer to kind of select the current technologies that we've currently got integrated into our push button infrastructure, and it's always evolving. So I think what we're trying to bring to the table from a technology perspective is our more prescriptive approach. But it's always changing, always evolving. So if customers are wanting to use x or y technology, we're able to integrate with that. But even more so, if you take that technology to the foundation, put a couple of droplets of the Red Hat DNA and the culture is really where that innovation and that inspiration kind of where it's - it's culminating on top of it. So they're building out the applications, like the easiER AG examples. >> John: Yeah, excellent. >> It's great, I always love - By the time we get to the end here, oh I see some of the common threads. You know, for example, Ansible's acquired a year and a half ago, boy we've seen Ansible you know weave it's way into a lot of products. >> Nick: Sure. >> Was talking to Ashush just a sort while ago. And the Open Stack commons, which reflected what you were just talking about is customers are coming, they're sharing their stories. And it's not all Red Hat pieces. One thing I think, I go to a lot of technology shows, and it's usually, "Oh, well we want to talk about solutions." But by these pieces, and Red Hat at it's core it's all open source, and therefore there's always going to be other pieces that tie in. How do you extend as to how much of this is driven by the Red Hat business versus you know the problems of the customer? I'm sure those mesh together pretty well, but maybe some learning you've had over the last year that you could share on that. >> Sure. I think one of the great starting points Stu is what we try and do in every case is start with what we call is a discovery session. So it's one of our consultants, or one of our solution architects really going into the client and having a discussion around what is the business problem we're trying to solve, or what is the business opportunity we're trying to capitalize upon. And from there, you know we have a half day to a day kind of discussion around what these priorities are, and then we come back to them with the deliverable that says okay, here's how we could solve that problem. Now there will be areas that we of course think we have Red Hat technology that absolutely is a perfect fit. We're going to put it in and make that as a recommendation. But there's going to be other technologies that we're also going to recommend as well. And I think that's what we've learned in these Innovation Lab engagements. Because often it's a discussion with IT of course, but also a discussion with line of business. And sometimes what happens in these discovery sessions is sometimes it's the line of business and IT perhaps connecting for the first time on this particular topic. And so we'll come back with that approach and it'll be an approach that's tailored to that customer environment. >> One thing kind of pivots a little bit from the topic of the technology, but I mean the culture and how we're doing this. I mean we are working with ISV's and things of how they could come through the residency to get things spun up into Open Shift commons and get their technology in the Stack or integrated with Red Hat's technical solutions. But on the other hand, you know really when they come in and they work with us, they're driving forward with looking at you know changes of their culture. They're trying to do digital transformation. They're trying to do these different types of things, but working with that cross-functional team. They're coming up with, oh wow, we were solving the problems the wrong way. And that's kind of just the point of the discovery session, figuring out what those business challenges are is really kind of what we're bubbling up with that process. >> Yeah, I'm curious. When I think to just open innovation, even outside of the technology world, sometimes we can learn a lot from people that aren't doing the same kind of things that we've been doing. I know you've got a couple of case studies here, customers sharing their stories, but how do we allow the community to learn more? When they get engaged in the innovation lab are customers sharing a little bit more? We know certain industries are more open to sharing than others, but what are they willing to share? What don't they share? How do you balance that kind of security if you will of their own IP as separate from the processes that they're doing? >> John: Sure. >> It's actually kind of interesting, we had a story this week, we have an engagement going on in our London space, which will be launching in a week and a half. But they're going on right now. And there was a customer that was kind of coming through for a regular executive briefing if you will. And we walked him through the space. And they saw the teams working in there and they were before in the sales kind of meaning, they were a little bit close-minded and close-sourced if you will. Trying to not want to share some of their core nuggets of their IP if you will. And once they saw kind of the collaborative landscape, and this is not even technology based, but just the culture of an open conversation. You know I hate to overuse - you know the sticky notes everywhere, the dev ops. I mean they were really doing a conversation with the customer that was engaging. And all of a sudden the customer that was there on the sales conversation goes, "I want to do this session, I want to go through this discovery session with you guys." And so I think customers are trying to do that. And the other thing is, in our spaces and in our locations, like Boston, we are actually having two team environments, and we've designed it to try and create collisions. So they're basically on two sides, but there's also a common area in the middle where we're trying to create those collisions to inspire that open conversation with our clients as well. Some may be comfortable with it, some might not be as comfortable with it, but we're going to challenge them. >> Nick, I love that term collisions. There's a small conference I go to in Providence. Haven't made it every year, but a few times. It's an innovation conference. And they call it the random collision of unusual suspects. It's the things we can learn from the people we don't know at all. Unfortunately, we're too much. You know, we know the people we know. We know a lot of the same information that we know. If somebody outside of the like three degrees of separation that you might find, that next really amazing thing that will help us move to the next piece, it brings me to my next point. You mentioned London and Boston, how do you decide where you're building your next centers, what's driving that kind of piece of it? And, you know, bring us up to speed as the two new locations, one of which if we had a good arm we might be able to throw a baseball and hit. >> Excellent, so let me just start by first of all saying, you know part of what we're doing here is it's this experiential residency is what it is. And that residency can happen at a client location, at a Red Hat location, or even a pop-up you know kind of third party location. And quite frankly, over the course of the last year, we've done all three of those scenarios. So all three of them are valid. As far as it relates to a Red Hat facility, what we try and do is find a location if we can that's either co-located with a large percentage of Red Hat clients, and or maybe Red Hat engineering. Because oftentimes we'll want to bring some of the engineers into these sessions. So, Mountain View, where we have a center today was a natural 'cause we have some engineering capability out on the west coast. And Boston is of course very natural as well because we have a very large engineering presence here in Boston. In fact, I'll let you talk a little bit about the Boston center 'cause that's going to be our next one that opens here in just a few weeks. So maybe Nick, talk a bit about you know what we're doing in the Boston center, which will be, if you will, our world wide hub for Red Hat innovation. It's not just going to be the Boston center, it's also going to be our world wide hub. >> No pun intended that it's in the hub that is Boston. >> You got it, you got it! >> Excellent. >> So you know, what are we doing in the innovation center, and the engineering center, and the customer briefing center all co-located in Boston. >> Yeah so it's actually going back to the collisions. We've even try and create collisions in our own organization. So it's actually an eight-shaped building. We've got four floors, or two floors on each side. So kind of effectively four floors. Engineering on one side on two floors, and an EBC on a floor above the Open Innovation Labs, and the Open Innovation Labs on the third floor if you will. And there's actually floor cut-outs, so people you know if they're coming in from an executive briefing, they can see down, see what's going on there. And then engineering on the other side. And the point there is that open culture just even within our organization, working with the engineers across the board, getting them over into our space, working with us to solving the problems. And showing, you know, I think the key point that I would hit on there is really trying to inspire customers what it's like to work in a community. So community powered innovation. All those types of things. And so the space is trying to do that. The collisions, the openness obviously, flexibility, but also what we're trying to do is create a platform or a catalyst of innovation. And whether or not it's in the location or pop-up location, we're trying to show the customer some of these principals that we're seeing that's effectively allowing Red Hat to drive the innovation, and how they can take that back into their own. So, you know the locations are great for driving a conversation from a sales perspective, and just overall showcasing it. But the reality is we've got this concept to innovate anywhere. We want to be able to take our technology, our open culture, everything you would want to use and go be able to take that back into your organization. 'Cause our immersive experience is only you know, it's kind of camp for coders or camp for the techies if you will. So you know that's working well, but that's not long term. Long term we have to show them how they can drive it forward, you know with themselves. >> Where do I sign up for the summer program? (all laugh) >> It's coming this summer. >> So Boston will launch in the end of June. >> End of June, early July. >> And the June timeframe we had, I don't know how many dozens of clients, and partners, and Red Hatters go through in hard hat tours this week, here at the Summit. And then in two weeks, we'll open in downtown or really in the heart of London. >> Stu: Alright, yeah, quick flat flight across the pond to get to London. Anything special about that location? >> I think just overall the locations all have a little bit of uniqueness to them. I they're definitely - we did design them to inspire innovation, thinking outside the box. So I think you know, if you go visit one of our locations you might a couple kind of hidden rooms if you will. Some other unique things. But overall, they are just hubs in general for the regions. Hubs of technology and innovation. And so from the go forward perspective I mean we are trying to say, you know, Red Hat is doing things different, thinking different. And these are kind of a way to show it. So trying to find that urban location that is a center point for people to be able to travel in and be able to experience that is really kind of the core. >> So London will open in two weeks, and then we're already working on blueprints for Singapore. >> Singapore, yeah. >> For our Asia hub, and had some great conversations with our leader for Latin America about some very initial plans for Latin America as well. So you know, we'll have great presence across the globe. We'll be able to bring this capability to customer sites. We've already done that. We'll be able to do pop ups. 'Cause even in some cases customers are saying you know we don't want to travel, but we want to get out of our home environment so we can really focus on this and have that immersive experience, and that intimate experience. So we'll do the pop ups as well. >> Driving change, we are seeing that that's the best way. Especially with this kind of, you know, the residency. It is a time box. So if we get them out of their day to day, some of the things, you know, sometimes are the things that are holding them out. Get them in the pop up location, get them outside of their space. All of a sudden their eyes open up. And we had a large retailer, international retailer that we did a project with on the west coast, and getting them out of their space got them coming back. The actual quotes from their executives and the key stakeholders were like they came back fired up. >> Stu: Yeah. >> And they came back motivated to try to make change without our organization. So it's disruption on every level. >> Yeah, you can't underestimate the motivation and the spirit that people come out of these engagements with. It's like a renewed sense of, "I can do this." And we saw that exactly with this retail engagement of really already working on preparing for Black Friday, and putting some great plans in place and really building that out for them. >> John Allessio, Nick Hopman; we always love digging in about the innovation. Absolutely something that excites most people of our industry. That doesn't? Maybe you're in the wrong industry. >> Exactly. >> We've got a couple more interviews. Stay tuned with us. I'm Stu Miniman, you're watching the Cube. (light music)