(bright upbeat music) >> Well, hello everybody. John Walls is here on "the CUBE". Great to have you with us as we continue our series here at the AWS Executive Summit sponsored by Accenture. And today we're talking about public service and not just a little slice of public service but probably the largest public sector offering in the UK and for with us or with us. Now to talk about that is Lianne Anderton, who is in with the Intelligent Automation Garage Delivery Lead at the UK Department of Work and Pension. Lianne, good to see you today. Thanks for joining us here on "the CUBE". >> Hi, thanks for having me. >> And also with this us is Amar Narayan, who is a Manager Director at Accenture the AWS Business Group for the Lead in Health and Public Sector, also UK and Ireland. And Amar, I think, you and Lianne, are in the same location, Newcastle, I believe in the UK, is that right? >> Yeah, absolutely. Yep, yeah, we're, here in the northeast of UK. >> Well, thank you for being with us. I appreciate the time. Lianne, let's talk about what you do, the Department of Work and Pension, the famous DWP in England. You have influence or certainly touchpoints with a huge amount of the British population. In what respects, what are you doing for the working class in England and what does technology have to do with all that? >> Sure, so for the Department for Work and Pensions I think the pensions bit is fairly self explanatory so anybody who is over state pension age within the UK. for the work part of that we also deal with people of working age. So, these are people who are either in employment and need additional help through various benefits we offer in the UK. Those people who are out of work. And we also deal with health related benefits as well. And we are currently serving over 20 million claimants every year at this moment in time. So, we're aware of a huge part of the UK government. >> All right, so say that number again. How many? >> 20 million claimants every year. >> Million with an M, right? >> Yeah. >> So, and that's individuals. And so how many transactions, if you will, how many do you think you process in a month? How, much traffic basically, are you seeing? >> An extraordinary amount? I'm not even, I don't think I even know that number. (Lianne laughing) >> Mind blowing, right? So, it's- >> A huge, huge amount. >> Mind blowing. >> Yeah, so, basically the we kind of keep the country going. So, you know, if the department for Work and Pensions kind of didn't exist anymore then actually it would cause an infinite number of problems in society. We, kind of help and support the people who need that. And, yeah, so we play a really vital role in kind of you know, social care and kind of public service. >> So, what was your journey to Accenture then? What, eventually led you to them? What problem were you having and how have you collaborated to solve that? >> So, in terms of how we work with Accenture. So, we had in around 2017 DWP was looking at a projected number of transactions growing by about 210 million which was, you know, an extraordinary amount. And, you know, I think as we've kind of covered everything that we do is on a massive scale. So, we as DWP as an organization we had absolutely no idea how we were going to be able to handle such a massive increase in the transactions. And actually, you know, after kind of various kind of paths and ideas of how we were going to do that, automation, was actually the answer. But the problem that we have with that is that we have, like many governments around the world, we have really older legacy systems. So, each of these benefits that we deal with are on legacy systems. So, whatever we were going to develop had to, you know, connect to all of these, it had to ingest and then process all of these pieces of data some of which, you know, given the fact that a lot of these systems have a lot of manual input you have data issues there that you have to solve and whatever we did, you know, as we've talked about in terms of volumes has to scale instantly as well. So, it has to be able to scale up and down to meet demand and, you know, and that down scaling is also equally as important. So yeah, you've got to be able to scale up to meet the volumes but also you've got to be able to downscale when when it's not needed. But we had nothing that was like that kind of helped us to meet that demand. So, we built our own automation platform, The Intelligent Automation Garage and we did that with Accenture. >> So Amar, I'd like you to chime in here then. So, you're looking at this client who has this massive footprint and obviously vital services, right? So, that's paramount that you have to keep that in mind and the legacy systems that Lianne was just talking about. So, now you're trying to get 'em in the next gen but also respecting that they have a serious investment already in a lot of technology. How do you approach that kind of problem solving, those dynamics and how in this case did you get them to automation as the solution? >> Sure, so I think I think one of the interesting things, yeah as Lianne has sort of described it, right? It's effectively like, you know the department has to have be running all of the time, right? They can't, you know, they can't effectively stop and then do a bunch of IT transformation, you know it's effectively like, you know, changing the wheels of a jumbo jet whilst it's taking off, right? And you've got to do all of that all in one go. But what I think we really, really liked about the situation that we were in and the client relationship we had was that we knew we had to it wasn't just a technology play, we couldn't just go, "All right, let's just put some new technology in." What we also needed to do was really sort of create a culture, an innovation culture, and go, "Well how do we think about the problems that we currently have and how do we think about solving them differently and in collaboration, right?" So, not just the, "Let's just outsource a bunch of technology for to, you know, to Accenture and build a bunch of stuff." So, we very carefully thought about, well actually, the unique situation that they're in the demands that the citizens have on the services that the department provide. And as Lianne mentioned, that technology didn't exist. So, we fundamentally looked at this in a different way. So, we worked really closely with the department. We said, Look, actually what we ultimately need is the equivalent of a virtual workforce. Something where if you already, you know all of a sudden had a hundred thousand pension claims that needed to be processed in a week that you could click your fingers and, you know in a physical world you'd have another building all of your kits, a whole bunch of trained staff that would be able to process that work. And if in the following week you didn't need that you no longer needed that building that stuff or the machinery. And we wanted to replicate that in the virtual world. So, we started designing a platform we utilized and focused on using AWS because it had the scalability. And we thought about, how were we going to connect something as new as AWS to all of these legacy systems. How are we going to make that work in the modern world? How are we going to integrate it? How we going to make sure it's secure? And frankly, we're really honest with the client we said, "Look, this hasn't been done before. Like, nowhere in Accenture has done it. No one's done it in the industry. We've got some smart people, I think we can do it." And, we've prototyped and we've built and we were able to prove that we can do that. And that in itself just created an environment of solving tricky problems and being innovative but most importantly not doing sort of proof of concepts that didn't go anywhere but building something that actually scaled. And I think that was really the real the start of what was has been the Garage. >> So, And Lianne, you mentioned this and you just referred to it Amar, about The Garage, right? The Intelligent Automation Garage. What exactly is it? I mean, we talked about it, what the needs are all this and that, but Lianne, I'll let you jump in first and Amar, certainly compliment her remarks, but what is the IAG, what's the... >> So, you know, I think exactly what kind of Amar, has said from a from a kind of a development point of view I think it started off, you know, really, really small. And the idea is that this is DWP, intelligent automation center of excellence. So, you know, it's aims are that, you know, it makes sure that it scopes out kind of the problems that DWP are are facing properly. So, we really understand what the crux of the problem is. In large organizations It's very easy, I think to think you understand what the problem is where actually, you know, it is really about kind of delving into what that is. And actually we have a dedicated design team that really kind of get under the bonnet of what these issues really are. It then kind of architects what the solutions need to look like using as Amar said, all the exciting new technology that we kind of have available to us. That kind of sensible solution as to what that should look like. We then build that sensible solution and we then, you know as part of that, we make sure that it scales to demand. So, something that might start out with, I dunno, you know a few hundred claimants or kind of cases going through it can quite often, you know, once that's that's been successful scale really, really quickly because as you know, we have 20 million claimants that come through us every year. So, these types of things can grow and expand but also a really key function of what we do is that we have a fully supported in-house service as well. So, all of those automations that we build are then maintained and you know, so any changes that kind of needed to be need to be made to them, we have all that and we have that control and we have our kind of arms wrapped around all of those. But also what that allows us to do is it allows us to be very kind of self-sufficient in making sure that we are as sufficient, sorry, as efficient as possible. And what I mean by that is looking at, you know as new technologies come around and they can allow us to do things more effectively. So, it allows us to kind of almost do that that kind of continuous improvement ourselves. So, that's a huge part of what we do as well. And you know, I think from a size point of view I said this started off really small as in the idea was this was a kind of center of excellence but actually as automation, I think as Amar alluded to is kind of really started to embed in DWP culture what we've started to kind of see is the a massive expansion in the types of of work that people want us to do and the volume of work that we are doing. So, I think we're currently running at around around a hundred people at the moment and I think, you know we started off with a scrum, a couple of scrum teams under Amar, so yeah, it's really grown. But you know, I think this is here to stay within DWP. >> Yeah, well when we talk about automation, you know virtual and robotics and all this I like to kind of keep the human element in mind here too. And Amar, maybe you can touch on that in certain terms of the human factors in this equation. 'Cause people think about, you know, robots it means different things to different people. In your mind, how does automation intersect with the human element here and in terms of the kinds of things Lianne wants to do down the road, you know, is a road for people basically? >> Oh yeah, absolutely. I think fundamentally what the department does is support people and therefore the solutions that we designed and built had to factor that in mind right? We were trying to best support and provide the best service we possibly can. And not only do we need to support the citizens that it supports. The department itself is a big organization, right? We're up to, we're talking between sort of 70 and 80,000 employees. So, how do we embed automation but also make the lives of the, of the DWP agents better as well? And that's what we thought about. So we said, "Well look, we think we can design solutions that do both." So, a lot of our automations go through a design process and we work closely with our operations team and we go, well actually, you know in processing and benefit, there are some aspects of that processing that benefit that are copy and paste, right? It doesn't require much thought around it, but it just requires capturing data and there's elements of that solution or that process that requires actual thought and understanding and really empathy around going, "Well how do I best support this citizen?" And what we tended to do is we took all of the things that were sort of laborious and took a lot of time and would slow down the overall process and we automated those and then we really focused on making sure that the elements that required the human, the human input was made as user friendly and centric as we possibly could. So, if there's a really complex case that needs to be processed, we were able to present the information in a really digestible and understandable way for the agents so that they could make a informed and sensible decision based around a citizen. And what that enabled us to do is essentially meet the demands of the volumes and the peaks that came in but also maintain the quality and if not improve, you know the accuracy of the claims processing that we had. >> So, how do you know, and maybe Lianne, you can address this. How do you know that it's successful on both sides of that equation? And, 'cause Amar raised a very good point. You have 70 to 80,000 employees that you're trying to make their work life much more efficient, much simpler and hopefully make them better at their jobs at the end of the day. But you're also taking care of 20 million clients on the, your side too. So, how do you, what's your measurement for success and what kind of like raw feedback do you get that says, "Okay, this has worked for both of our client bases, both our citizens and our employees?" >> Yeah, so we can look at this both from a a quantitative and a qualitative point of view as well. So, I think from a let take the kind figures first. So we are really hot on making sure that whatever automations we put in place we are there to measure how that automation is working what it's kind of doing and the impact that it's having from an operational point of view. So I think, you know, I think the proof of the fact that the Intelligent Automation Garage is working is that, you know, in the, in its lifetime, we've processed over 20 million items and cases so far. We have 65 scaled and transitioned automations and we've saved over 2 million operational hours. I was going to say that again that's 2 million operational hours. And what that allows us to do as an organization those 2 million hours have allowed us to rather than people as Amar, said, cutting and pasting and doing work that that is essentially very time consuming and repetitive. That 2 million hours we've been able to use on actual decision making. So, the stuff that you need as sentient human being to make judgment calls on and you know and kind of make those decisions that's what it's allowed us as an organization to do. And then I think from a quality point of view I think the feedback that we have from our operational teams is, you know is equally as as great. So, we have that kind of feedback from, you know all the way up from to the director level about, you know how it's kind of like I said that freeing up that time but actually making the operational, you know they don't have an easy job and it's making that an awful lot easier on a day to day basis. It has a real day to day impact. But also, you know, there are other things that kind of the knock on effects in terms of accuracy. So for example, robot will do is exactly as it's told it doesn't make any mistakes, it doesn't have sick days, you know, it does what it says on the tin and actually that kind of impact. So, it's not necessarily, you know, counting your numbers it's the fact that then doesn't generate a call from a customer that kind of says, "Well you, I think you've got this wrong." So, it's all that kind of, these kind of ripple effects that go out. I think is how we measure the fact that A, the garage is working and b, it's delivering the value that we needed to deliver. >> Robots, probably ask better questions too so yeah... (Lianne laughing) So, real quick, just real quick before you head out. So, the big challenge next, eureka, this works, right? Amar, you put together this fantastic system it's in great practice at the DWP, now what do we do? So, it's just in 30 seconds, Amar, maybe if you can look at, be the headlights down the road here for DWP and say, "This is where I think we can jump to next." >> Yeah, so I think, what we've been able to prove as I say is that is scaled innovation and having the return and the value that it creates is here to stay, right? So, I think the next things for us are a continuous expand the stuff that we're doing. Keeping hold of that culture, right? That culture of constantly solving difficult problems and being able to innovate and scale them. So, we are now doing a lot more automations across the department, you know, across different benefits across the digital agenda. I think we're also now becoming almost a bit of the fabric of enabling some of the digital transformation that big organizations look at, right? So moving to a world where you can have a venture driven architectures and being able to sort of scale that. I also think the natural sort of expansion of the team and the type of work that we're going to do is probably also going to expand into sort of the analytics side of it and understanding and seeing how we can take the data from the cases that we're processing to overall have a smoother journey across for our citizens. But it's looking, you know, the future's looking bright. I think we've got a number of different backlogs of items to work on. >> Well, you've got a great story to tell and thank you for sharing it with us here on "the CUBE", talking about DWP, the Department of Work and Pensions in the UK and the great work that Accenture's doing to make 20 million lives plus, a lot simpler for our friends in England. You've been watching ""the CUBE"" the AWS Executive Summit sponsored by Accenture. (bright upbeat music)

(bright upbeat music) >> Well, hello everybody. John Walls is here on "the CUBE". Great to have you with us as we continue our series here at the AWS Executive Summit sponsored by Accenture. And today we're talking about public service and not just a little slice of public service but probably the largest public sector offering in the UK and for with us or with us. Now to talk about that is Lianne Anderton, who is in with the Intelligent Automation Garage Delivery Lead at the UK Department of Work and Pension. Lianne, good to see you today. Thanks for joining us here on "the CUBE". >> Hi, thanks for having me. >> And also with this us is Amar Narayan, who is a Manager Director at Accenture the AWS Business Group for the Lead in Health and Public Sector, also UK and Ireland. And Amar, I think, you and Lianne, are in the same location, Newcastle, I believe in the UK, is that right? >> Yeah, absolutely. Yep, yeah, we're, here in the northeast of UK. >> Well, thank you for being with us. I appreciate the time. Lianne, let's talk about what you do, the Department of Work and Pension, the famous DWP in England. You have influence or certainly touchpoints with a huge amount of the British population. In what respects, what are you doing for the working class in England and what does technology have to do with all that? >> Sure, so for the Department for Work and Pensions I think the pensions bit is fairly self explanatory so anybody who is over state pension age within the UK. for the work part of that we also deal with people of working age. So, these are people who are either in employment and need additional help through various benefits we offer in the UK. Those people who are out of work. And we also deal with health related benefits as well. And we are currently serving over 20 million claimants every year at this moment in time. So, we're aware of a huge part of the UK government. >> All right, so say that number again. How many? >> 20 million claimants every year. >> Million with an M, right? >> Yeah. >> So, and that's individuals. And so how many transactions, if you will, how many do you think you process in a month? How, much traffic basically, are you seeing? >> An extraordinary amount? I'm not even, I don't think I even know that number. (Lianne laughing) >> Mind blowing, right? So, it's- >> A huge, huge amount. >> Mind blowing. >> Yeah, so, basically the we kind of keep the country going. So, you know, if the department for Work and Pensions kind of didn't exist anymore then actually it would cause an infinite number of problems in society. We, kind of help and support the people who need that. And, yeah, so we play a really vital role in kind of you know, social care and kind of public service. >> So, what was your journey to Accenture then? What, eventually led you to them? What problem were you having and how have you collaborated to solve that? >> So, in terms of how we work with Accenture. So, we had in around 2017 DWP was looking at a projected number of transactions growing by about 210 million which was, you know, an extraordinary amount. And, you know, I think as we've kind of covered everything that we do is on a massive scale. So, we as DWP as an organization we had absolutely no idea how we were going to be able to handle such a massive increase in the transactions. And actually, you know, after kind of various kind of paths and ideas of how we were going to do that, automation, was actually the answer. But the problem that we have with that is that we have, like many governments around the world, we have really older legacy systems. So, each of these benefits that we deal with are on legacy systems. So, whatever we were going to develop had to, you know, connect to all of these, it had to ingest and then process all of these pieces of data some of which, you know, given the fact that a lot of these systems have a lot of manual input you have data issues there that you have to solve and whatever we did, you know, as we've talked about in terms of volumes has to scale instantly as well. So, it has to be able to scale up and down to meet demand and, you know, and that down scaling is also equally as important. So yeah, you've got to be able to scale up to meet the volumes but also you've got to be able to downscale when when it's not needed. But we had nothing that was like that kind of helped us to meet that demand. So, we built our own automation platform, The Intelligent Automation Garage and we did that with Accenture. >> So Amar, I'd like you to chime in here then. So, you're looking at this client who has this massive footprint and obviously vital services, right? So, that's paramount that you have to keep that in mind and the legacy systems that Lianne was just talking about. So, now you're trying to get 'em in the next gen but also respecting that they have a serious investment already in a lot of technology. How do you approach that kind of problem solving, those dynamics and how in this case did you get them to automation as the solution? >> Sure, so I think I think one of the interesting things, yeah as Lianne has sort of described it, right? It's effectively like, you know the department has to have be running all of the time, right? They can't, you know, they can't effectively stop and then do a bunch of IT transformation, you know it's effectively like, you know, changing the wheels of a jumbo jet whilst it's taking off, right? And you've got to do all of that all in one go. But what I think we really, really liked about the situation that we were in and the client relationship we had was that we knew we had to it wasn't just a technology play, we couldn't just go, "All right, let's just put some new technology in." What we also needed to do was really sort of create a culture, an innovation culture, and go, "Well how do we think about the problems that we currently have and how do we think about solving them differently and in collaboration, right?" So, not just the, "Let's just outsource a bunch of technology for to, you know, to Accenture and build a bunch of stuff." So, we very carefully thought about, well actually, the unique situation that they're in the demands that the citizens have on the services that the department provide. And as Lianne mentioned, that technology didn't exist. So, we fundamentally looked at this in a different way. So, we worked really closely with the department. We said, Look, actually what we ultimately need is the equivalent of a virtual workforce. Something where if you already, you know all of a sudden had a hundred thousand pension claims that needed to be processed in a week that you could click your fingers and, you know in a physical world you'd have another building all of your kits, a whole bunch of trained staff that would be able to process that work. And if in the following week you didn't need that you no longer needed that building that stuff or the machinery. And we wanted to replicate that in the virtual world. So, we started designing a platform we utilized and focused on using AWS because it had the scalability. And we thought about, how were we going to connect something as new as AWS to all of these legacy systems. How are we going to make that work in the modern world? How are we going to integrate it? How we going to make sure it's secure? And frankly, we're really honest with the client we said, "Look, this hasn't been done before. Like, nowhere in Accenture has done it. No one's done it in the industry. We've got some smart people, I think we can do it." And, we've prototyped and we've built and we were able to prove that we can do that. And that in itself just created an environment of solving tricky problems and being innovative but most importantly not doing sort of proof of concepts that didn't go anywhere but building something that actually scaled. And I think that was really the real the start of what was has been the Garage. >> So, And Lianne, you mentioned this and you just referred to it Amar, about The Garage, right? The Intelligent Automation Garage. What exactly is it? I mean, we talked about it, what the needs are all this and that, but Lianne, I'll let you jump in first and Amar, certainly compliment her remarks, but what is the IAG, what's the... >> So, you know, I think exactly what kind of Amar, has said from a from a kind of a development point of view I think it started off, you know, really, really small. And the idea is that this is DWP, intelligent automation center of excellence. So, you know, it's aims are that, you know, it makes sure that it scopes out kind of the problems that DWP are are facing properly. So, we really understand what the crux of the problem is. In large organizations It's very easy, I think to think you understand what the problem is where actually, you know, it is really about kind of delving into what that is. And actually we have a dedicated design team that really kind of get under the bonnet of what these issues really are. It then kind of architects what the solutions need to look like using as Amar said, all the exciting new technology that we kind of have available to us. That kind of sensible solution as to what that should look like. We then build that sensible solution and we then, you know as part of that, we make sure that it scales to demand. So, something that might start out with, I dunno, you know a few hundred claimants or kind of cases going through it can quite often, you know, once that's that's been successful scale really, really quickly because as you know, we have 20 million claimants that come through us every year. So, these types of things can grow and expand but also a really key function of what we do is that we have a fully supported in-house service as well. So, all of those automations that we build are then maintained and you know, so any changes that kind of needed to be need to be made to them, we have all that and we have that control and we have our kind of arms wrapped around all of those. But also what that allows us to do is it allows us to be very kind of self-sufficient in making sure that we are as sufficient, sorry, as efficient as possible. And what I mean by that is looking at, you know as new technologies come around and they can allow us to do things more effectively. So, it allows us to kind of almost do that that kind of continuous improvement ourselves. So, that's a huge part of what we do as well. And you know, I think from a size point of view I said this started off really small as in the idea was this was a kind of center of excellence but actually as automation, I think as Amar alluded to is kind of really started to embed in DWP culture what we've started to kind of see is the a massive expansion in the types of of work that people want us to do and the volume of work that we are doing. So, I think we're currently running at around around a hundred people at the moment and I think, you know we started off with a scrum, a couple of scrum teams under Amar, so yeah, it's really grown. But you know, I think this is here to stay within DWP. >> Yeah, well when we talk about automation, you know virtual and robotics and all this I like to kind of keep the human element in mind here too. And Amar, maybe you can touch on that in certain terms of the human factors in this equation. 'Cause people think about, you know, robots it means different things to different people. In your mind, how does automation intersect with the human element here and in terms of the kinds of things Lianne wants to do down the road, you know, is a road for people basically? >> Oh yeah, absolutely. I think fundamentally what the department does is support people and therefore the solutions that we designed and built had to factor that in mind right? We were trying to best support and provide the best service we possibly can. And not only do we need to support the citizens that it supports. The department itself is a big organization, right? We're up to, we're talking between sort of 70 and 80,000 employees. So, how do we embed automation but also make the lives of the, of the DWP agents better as well? And that's what we thought about. So we said, "Well look, we think we can design solutions that do both." So, a lot of our automations go through a design process and we work closely with our operations team and we go, well actually, you know in processing and benefit, there are some aspects of that processing that benefit that are copy and paste, right? It doesn't require much thought around it, but it just requires capturing data and there's elements of that solution or that process that requires actual thought and understanding and really empathy around going, "Well how do I best support this citizen?" And what we tended to do is we took all of the things that were sort of laborious and took a lot of time and would slow down the overall process and we automated those and then we really focused on making sure that the elements that required the human, the human input was made as user friendly and centric as we possibly could. So, if there's a really complex case that needs to be processed, we were able to present the information in a really digestible and understandable way for the agents so that they could make a informed and sensible decision based around a citizen. And what that enabled us to do is essentially meet the demands of the volumes and the peaks that came in but also maintain the quality and if not improve, you know the accuracy of the claims processing that we had. >> So, how do you know, and maybe Lianne, you can address this. How do you know that it's successful on both sides of that equation? And, 'cause Amar raised a very good point. You have 70 to 80,000 employees that you're trying to make their work life much more efficient, much simpler and hopefully make them better at their jobs at the end of the day. But you're also taking care of 20 million clients on the, your side too. So, how do you, what's your measurement for success and what kind of like raw feedback do you get that says, "Okay, this has worked for both of our client bases, both our citizens and our employees?" >> Yeah, so we can look at this both from a a quantitative and a qualitative point of view as well. So, I think from a let take the kind figures first. So we are really hot on making sure that whatever automations we put in place we are there to measure how that automation is working what it's kind of doing and the impact that it's having from an operational point of view. So I think, you know, I think the proof of the fact that the Intelligent Automation Garage is working is that, you know, in the, in its lifetime, we've processed over 20 million items and cases so far. We have 65 scaled and transitioned automations and we've saved over 2 million operational hours. I was going to say that again that's 2 million operational hours. And what that allows us to do as an organization those 2 million hours have allowed us to rather than people as Amar, said, cutting and pasting and doing work that that is essentially very time consuming and repetitive. That 2 million hours we've been able to use on actual decision making. So, the stuff that you need as sentient human being to make judgment calls on and you know and kind of make those decisions that's what it's allowed us as an organization to do. And then I think from a quality point of view I think the feedback that we have from our operational teams is, you know is equally as as great. So, we have that kind of feedback from, you know all the way up from to the director level about, you know how it's kind of like I said that freeing up that time but actually making the operational, you know they don't have an easy job and it's making that an awful lot easier on a day to day basis. It has a real day to day impact. But also, you know, there are other things that kind of the knock on effects in terms of accuracy. So for example, robot will do is exactly as it's told it doesn't make any mistakes, it doesn't have sick days, you know, it does what it says on the tin and actually that kind of impact. So, it's not necessarily, you know, counting your numbers it's the fact that then doesn't generate a call from a customer that kind of says, "Well you, I think you've got this wrong." So, it's all that kind of, these kind of ripple effects that go out. I think is how we measure the fact that A, the garage is working and b, it's delivering the value that we needed to deliver. >> Robots, probably ask better questions too so yeah... (Lianne laughing) So, real quick, just real quick before you head out. So, the big challenge next, eureka, this works, right? Amar, you put together this fantastic system it's in great practice at the DWP, now what do we do? So, it's just in 30 seconds, Amar, maybe if you can look at, be the headlights down the road here for DWP and say, "This is where I think we can jump to next." >> Yeah, so I think, what we've been able to prove as I say is that is scaled innovation and having the return and the value that it creates is here to stay, right? So, I think the next things for us are a continuous expand the stuff that we're doing. Keeping hold of that culture, right? That culture of constantly solving difficult problems and being able to innovate and scale them. So, we are now doing a lot more automations across the department, you know, across different benefits across the digital agenda. I think we're also now becoming almost a bit of the fabric of enabling some of the digital transformation that big organizations look at, right? So moving to a world where you can have a venture driven architectures and being able to sort of scale that. I also think the natural sort of expansion of the team and the type of work that we're going to do is probably also going to expand into sort of the analytics side of it and understanding and seeing how we can take the data from the cases that we're processing to overall have a smoother journey across for our citizens. But it's looking, you know, the future's looking bright. I think we've got a number of different backlogs of items to work on. >> Well, you've got a great story to tell and thank you for sharing it with us here on "the CUBE", talking about DWP, the Department of Work and Pensions in the UK and the great work that Accenture's doing to make 20 million lives plus, a lot simpler for our friends in England. You've been watching ""the CUBE"" the AWS Executive Summit sponsored by Accenture. (bright upbeat music)

>>Hey everyone. Welcome back to the cubes day two coverage of VMware Explorer, 22 from San Francisco. Lisa Martin, back here with you with Dave Nicholson, we have a couple of guests from VMware. Joining us, please. Welcome Jay Workman, senior director, cloud partner, and alliances marketing, and Jeff Thompson, VP cloud provider sales at VMware guys. It's great to have you on the program. >>Ah, good to be here. Thanks for having us on. >>We're gonna be talking about a really interesting topic. Sovereign cloud. What is sovereign cloud? Jeff? Why is it important, but fundamentally, what is >>It? Yeah, well, we were just talking a second ago. Aren't we? And it's not about royalty. So yeah, data sovereignty is really becoming super important. It's about the regulation and control of data. So lots of countries now are being very careful and advising companies around where to place data and the jurisdictional controls mandate that personal data or otherwise has to be secured. We ask, we have to have access controls around it and privacy controls around it. So data sovereign clouds are clouds that have been built by our cloud providers in, in, in VMware that specifically satisfy the requirements of those jurisdictions and regulated industries. So we've built a, a little program around that. We launched it about a year ago and continuing to add cloud providers to that. >>Yeah, and I, I think it's also important just to build on what Jeff said is, is who can access that data is becoming increasingly important data is, is almost in it's. It is becoming a bit of a currency. There's a lot of value in data and securing that data is, is becoming over the years increasingly important. So it's, it's not like we built a problem or we created a solution for problem that didn't exist. It's gotten it's, it's been a problem for a while. It's getting exponentially bigger data is expanding and growing exponentially, and it's becoming increasingly important for organizations and companies to realize where my data sits, who can access it, what types of data needs to go and what type of clouds. And it's very, very aligned with multi-cloud because some data can sit in a, in a public cloud, which is fine, but some data needs to be secure. It needs to be resident within country. And so this is, this is what we're addressing through our partners. >>Yeah, I, yeah, I was just gonna add to that. I think there's a classification there there's data residency, and then there's data sovereignty. So residency is just about where is the data, which country is it in sovereignty is around who can access that data. And that's the critical aspect of, of data sovereignty who's got control and access to that data. And how do we make sure that all the controls are in place to make sure that only the right people can get access to that data? Yeah. >>So let's, let's sort of build from the ground up an example, and let's use Western Europe as an example, just because state to state in the United States, although California is about to adopt European standards for privacy in a, in a unique, in a unique, unique way, pick a country in, in Europe, I'm a service provider. I have an offering and that offering includes a stack of hardware and I'm running what we frequently refer to as the STDC or software defined data center stack. So I've got NEX and I've got vs N and I've got vSphere and I'm running and I have a cloud and you have all of the operational tools around that, and you can spin up VMs and render under applications there. And here we are within the borders of this country, what makes it a sovereign cloud at that? So at that point, is that a sovereign cloud or? >>No, not yet. Not it's close. I mean, you nailed, >>What's >>A secret sauce. You nailed the technology underpinning. So we've got 4,500 plus cloud provider partners around the world. Less than 10% of those partners are running the full STDC stack, which we've branded as VMware cloud verified. So the technology underpinning from our perspective is the starting point. Okay. For sovereignty. So they, they, they need that right. Technology. Okay. >>Verified is required for sovereign. Yes. >>Okay. Cloud verified is the required technology stack for sovereign. So they've got vSphere vs. A NSX in there. Okay. A lot of these partners are also offering a multitenant cloud with VMware cloud director on top of that, which is great. That's the starting point. But then we've, we've set a list of standards above and beyond that, in addition to the technology, they've gotta meet certain jurisdiction requirements, certain local compliance requirements and certifications. They've gotta be able to address the data re data residency requirements of their particular jurisdiction. So it's going above and beyond. But to your point, it does vary by country. >>Okay. So, so in this hypothetical example, this is this country. You a stand, I love it. When people talk about Stan, people talk about EMIA and you know, I, I love AMEA food. Isn't AIAN food. One. There's no such thing as a European until you have an Italian, a Britain, a German yep. In Florida arguing about how our beer and our coffee is terrible. Right. Right. Then they're all European. They go home and they don't like each other. Yeah. So, but let's just pretend that there's a thing called Europe. So this, so there's this, so we've got a border, we know residency, right. Because it physically is here. Yep. But what are the things in terms of sovereignty? So you're talking about a lot of kind of certification and validation, making sure that, that everything maps to those existing rules. So is, this is, this is a lot of this administrative and I mean, administrative in the, in the sort of state administrative terminology, >>I I'm let's build on your example. Yeah. So we were talking about food and obviously we know the best food in the world comes from England. >>Of course it does. Yeah. I, no doubt. I agree. I Don not get that. I do. I do do agree. Yeah. >>So UK cloud, fantastic partner for us. Okay. Whether they're one of our first sovereign cloud providers in the program. So UK cloud, they satisfied the requirements with the local UK government. They built out their cloud verified. They built out a stack specifically that enables them to satisfy the requirements of being a sovereign cloud provider. They have local data centers inside the UK. The data from the local government is placed into those data centers. And it's managed by UK people on UK soil so that they know the privacy, they know the security aspects, the compliance, all of that wrapped up on top of a secure SDDC platform. Okay. Satisfies the requirements of the UK government, that they are managing that data in a sovereign way that, that, that aligns to the jurisdictional control that they expect from a company like UK cloud. Well, >>I think to build on that, a UK cloud is an example of certain employees at UK, UK cloud will have certain levels of clearance from the UK government who can access and work on certain databases that are stored within UK cloud. So they're, they're addressing it from multiple fronts, not just with their hardware, software data center framework, but actually at the individual compliance level and individual security clearance level as to who can go in and work on that data. And it's not just a governmental, it's not a public sector thing. I mean, any highly regulated industry, healthcare, financial services, they're all gonna need this type of data protection and data sovereignty. >>Can this work in a hyperscaler? So you've got you, have, you have VMC AVS, right? GC V C >>O >>CVAs O CVS. Thank you. Can it be, can, can a sovereign cloud be created on top of physical infrastructure that is in one of those hyperscalers, >>From our perspective, it's not truly sovereign. If, if it's a United States based company operating in Germany, operating in the UK and a local customer or organization in Germany, or the UK wants to deploy workloads in that cloud, we wouldn't classify that as totally sovereign. Okay. Because by virtue of the cloud act in the United States, that gives the us government rights to request or potentially view some of that data. Yeah. Because it's, it's coming out of a us based operator data center sitting on foreign soil so that the us government has some overreach into that. And some of that data may actually be stored. Some of the metadata may reside back in the us and the customer may not know. So certain workloads would be ideally suited for that. But for something that needs to be truly sovereign and local data residency, that it wouldn't be a good fit. I think that >>Perspectives key thing, going back to residency versus sovereignty. Yeah. It can be, let's go to our UK example. It can be on a hyperscaler in the UK now it's resident in the UK, but some of the metadata, the profiling information could be accessible by the entity in the United States. For example, there now it's not sovereign anymore. So that's the key difference between a, what we view as a pro you know, a pure sovereign cloud play and then maybe a hyperscaler that's got more residency than sovereignty. >>Yeah. We talk a lot about partnerships. This seems to be a unique opportunity for a certain segment of partners yeah. To give that really is an opportunity for them to have a line of business established. That's unique from some of the hyperscale cloud providers. Yeah. Where, where sort of the, the modesty of your size might be an advantage if you're in a local. Yes. You're in Italy and you are a service provider. There sounds like a great fit, >>That's it? Yeah. You've always had the, the beauty of our program. We have 4,500 cloud providers and obviously not, all of them are able to provide a data, a sovereign cloud. We have 20 in the program today in, in the country. You you'd expect them to be in, you know, the UK, Italy, Italy, France, Germany, over in Asia Pacific. We have in Australia and New Zealand, Japan, and, and we have Canada and Latin America to, to dovetail, you know, the United States. But those are the people that have had these long term relationships with the local governments, with these regulated industries and providing those services for many, many years. It's just that now data sovereignty has become more important. And they're able to go that extra mile and say, Hey, we've been doing this pretty much, you know, for decades, but now we're gonna put a wrap and some branding around it and do these extra checks because we absolutely know that we can provide the sovereignty that's required. >>And that's been one of the beautiful things about the entire initiative is we're actually, we're learning a lot from our partners in these countries to Jeff's point have been doing this. They've been long time, VMware partners they've been doing sovereignty. And so collectively together, we're able to really establish a pretty robust framework from, from our perspective, what does data sovereignty mean? Why does it matter? And then that's gonna help us work with the customers, help them decide which workloads need to go and which type of cloud. And it dovetails very, very nicely into a multi-cloud that's a reality. So some of those workloads can sit in the public sector and the hyperscalers and some of 'em need to be sovereign. Yeah. So it's, it's a great solution for our customers >>When you're in customer conversations, especially as, you know, data sovereign to be is becomes a global problem. Where, who are you talking to? Are you talking to CIOs? Are you talking to chief data officers? I imagine this is a pretty senior level conversation. >>Yeah. I it's, I think it's all of the above. Really. It depends. Who's managing the data. What type of customer is it? What vertical market are they in? What compliance regulations are they are they beholden to as a, as an enterprise, depending on which country they're in and do they have a need for a public cloud, they may already be all localized, you know? So it really depends, but it, it could be any of those. It's generally I think a fair, fairly senior level conversation. And it's, it's, it's, it's consultancy, it's us understanding what their needs are working with our partners and figuring out what's the best solution for them. >>And I think going back to, they've probably having those conversations for a long time already. Yeah. Because they probably have had workloads in there for years, maybe even decades. It's just that now sovereignty has become, you know, a more popular, you know, requirements to satisfy. And so they've gone going back to, they've gone the extra mile with those as the trusted advisor with those people. They've all been working with for many, many years to do that work. >>And what sort of any examples you mentioned some of the highly regulated industries, healthcare, financial services, any customer come to mind that you think really articulates the value of what VMware's delivering through its service through its cloud provider program. That makes the obvious why VMware an obvious answer? >>Wow. I, I, I get there's, there's so many it's, it's actually, it's each of our different cloud providers. They bring their win wise to us. And we just have, we have a great library now of assets that are on our sovereign cloud website of those win wires. So it's many industries, many, many countries. So you can really pick, pick your, your choice. There. That's >>A good problem >>To have, >>To the example of UK cloud they're, they're really focused on the UK government. So some of them aren't gonna be referenced. Well, we may have indication of a major financial services company in Australia has deployed with AU cloud, one of our partners. So we we've also got some semi blind references like that. And, and to some degree, a lot of these are maintained as fairly private wins and whatnot for obvious security reasons, but, and we're building it and building that library up, >>You mentioned the number 4,500, a couple of times, you, you referencing VMware cloud provider partners or correct program partners. So VCP P yes. So 45, 4500 is the, kind of, is the, is the number, you know, >>That's the number >>Globally of our okay. >>Partners that are offering a commercial cloud service based at a minimum with vSphere and they're. And many of 'em have many more of our technologies. And we've got little under 10% of those that have the cloud verified designation that are running that full STDC, stack >>Somebody, somebody Talli up, all of that. And the argument has been made that, that rep that, that would mean that VMware cloud. And although some of it's on IAS from hyperscale cloud providers. Sure. But that, that rep, that means that VMware has the third or fourth largest cloud on the planet already right now. >>Right. Yep. >>Which is kind of interesting because yeah. If you go back to when, what 2016 or so when VMC was at least baned about yeah. Is that right? A lot of people were skeptical. I was skeptical very long history with VMware at the time. And I was skeptical. I I'm thinking, nah, it's not gonna work. Yeah. This is desperation. Sorry, pat. I love you. But it's desperation. Right. AWS, their attitude is in this transaction. Sure. Send us some customers we'll them. Yeah. Right. I very, very cynical about it. Completely proved me wrong. Obviously. Where did it go? Went from AWS to Azure to right. Yeah. To GCP, to Oracle, >>Oracle, Alibaba, >>Alibaba. Yep. Globally. >>We've got IBM. Yep. Right. >>Yeah. So along the way, it would be easy to look at that trajectory and say, okay, wow, hyperscale cloud. Yeah. Everything's consolidating great. There's gonna be five or six or 10 of these players. And that's it. And everybody else is out in the cold. Yeah. But it turns out that long tail, if you look at the chart of who the largest VCP P partners are, that long tail of the smaller ones seem to be carving out specialized yes. Niches where you can imagine now, at some point in the future, you sum up this long tail and it becomes larger than maybe one of the hyperscale cloud providers. Right. I don't think a lot of people predicted that. I think, I think people predicted the demise of VMware and frankly, a lot of people in the VMware ecosystem, just like they predicted the demise of the mainframe. Sure. The storage area network fill in the blank. I >>Mean, Jeff and I we've oh yeah. We've been on the, Jeff's been a little longer than I have, but we've been working together for 10 plus years on this. And we've, we've heard that many times. Yeah. Yeah. Our, our ecosystem has grown over the years. We've seen some consolidation, some M and a activity, but we're, we're not even actively recruiting partners and it's growing, we're focused on helping our partners gain more, share internally, gain, more share at wallet, but we're still getting organic growth in the program. Really. So it, it shows, I think that there is value in what we can offer them as a platform to build a cloud on. >>Yeah. What's been interesting is there's there's growth and there's some transition as well. Right? So there's been traditional cloud providers. Who've built a cloud in their data center, some sovereign, some not. And then there's other partners that are adopting VCP P because of our SA. So we've either converted some technology from product into SA or we've built net new SA or we've acquired companies that have been SA only. And now we have a bigger portfolio that service providers, cloud providers, managed service providers are all interested in. So you get resellers channel partners. Who've historically been doing ELAs and reselling to end customers. They're transitioning their business into doing recurring revenue and the only game in town where you really wanna do recurring revenues, VCP P. So our ecosystem is both growing because our cloud providers with their data center are doing more with our customers. And then we're adding more managed service providers because of our SA portfolio. And that, that, that combo, that one, two punch is creating a much bigger VCP P ecosystem overall. >>Yeah. >>Impressive. >>Do you think we have a better idea of what sovereign cloud means? Yes. I think we do. >>It's not Royal. >>It's all about royalty, >>All royalty. What are some of the things Jeff, as we look on the horizon, obviously seven to 10,000 people here at, at VMwares where people really excited to be back. They want to hear it from VMware. They wanna hear from its partner ecosystem, the community. What are some of the things that you think are on the horizon where sovereign cloud is concerned that are really opportunities yeah. For businesses to get it right. >>Yeah. We're in the early days of this, I think there's still a whole bunch of rules, regulatory laws that have not been defined yet. So I think there's gonna be some more learning. There's gonna be some top down guidance like Gaia X in Europe. That's the way that they're defining who gets access and control over what data and what's in. And what's out of that. So we're gonna get more of these Gaia X type things happening around the world, and they're all gonna be slightly different. Everyone's gonna have to understand what they are, how to interpret and then build something around them. So we need to stay on top of that, myself and Jay, to make sure that we've got the right cloud providers in the right space to capitalize on that, build out the sovereign cloud program over time and make sure that what they're building to support aligns with these different requirements that are out there across different countries. So it's an evolving landscape. That's >>Yeah. And one of the things too, we're also doing from a product perspective to better enable partners to, to address these sovereign cloud workloads is where we have, we have gaps maybe in our portfolio is we're partner partnering with some of our ISVs, like a, Konic like a Forex vem. So we can give our partners object storage or ransomware protection to add on to their sovereign cloud service, all accessible through our cloud director consult. So we're, we're enhancing the program that way. And to Jeff's point earlier, we've got 20 partners today. We're hoping to double that by the end of our fiscal year and, and just take a very methodical approach to growth of the program. >>Sounds great guys, early innings though. Thank you so much for joining Dave and me talking about what software and cloud is describing it to us, and also talking about the difference between that data residency and all the, all of the challenges and the, in the landscape that customers are facing. They can go turn to VMware and its ecosystem for that help. We appreciate your insights and your time. Guys. Thank >>You >>For >>Having us. Our >>Pleasure. Appreciate it >>For our guests and Dave Nicholson. I'm Lisa Martin. You've been watching the cube. This is the end of day, two coverage of VMware Explorer, 2022. Have a great rest of your day. We'll see you tomorrow.

>>Hello, and welcome back to the cubes coverage of splunk.com here in the virtual studios in Silicon valley broadcasting around the world's a virtual event. Um, John four-year host of the queue. We've got a great guest, Zach brown, chief executive officer of McLaren racing, really looking forward to this interview, Zach, welcome to the queue. Well, thanks for coming on. Thanks for having me. So we have a huge fan base in the tech community. A lot of geeks love the neurons. They love the tech behind the sport. Uh, and Netflix is driving to survive. Series has absolutely catapulted the popularity of F1 in the tech community. So congratulations on all the success in that program and on, and then on the >>Thank you very much, it's been a, it's been a good run. We've won our first race in a while, but we still have a ways to go to get in that, uh, world championship that, uh, >>So for the techies out there and the folks in our audience that aren't familiar with, the specifics of the racing team and the dynamics, take a minute to explain what you guys do. >>Uh, so McLaren racing, uh, which has a variety of, uh, racing teams, uh, a formula one team in indie car team and extremely team and an e-sports team. Uh, we're the second most successful form of the one team in the history of sport. Now 183 wins 182, uh, when I joined 20 world championships and, uh, we're, we're close to a thousand people to, to run a couple of racing cars and, uh, currently third in the championship, uh, with Lando Norris and, uh, Daniel, Ricardo. >>So talk about the, um, the, the dynamics of the spore. Obviously data is big part of it. Uh, we see the, a lot of the coverage. You can see anything can happen overnight. It's very quick. Um, technology has been being, uh, playing a big role in sport. What's your vision on how that's evolving? Are you happy with where things are, uh, and where do you see it going? >>Yeah, it does some interesting stats. So, um, the car that qualifies first at the beginning of the year, if you didn't touch, it would be last by the end of the year. So that's the pace of a development of a, of a formula one car. We change a, uh, and develop a new part on the car every 14 minutes, 365 days, days a year. Um, and technology plays a huge role. Uh, it's, it's probably the most technical, um, evolved sport in the world. Uh, both safety data, uh, the innovation it's it's awesome. And what a lot of people don't know is a lot of what we develop in a formula. One car ends up in other parts of the world, whether it was a ventilators that we helped develop for the UK government, uh, to working with our, uh, various partners or safety and innovation in the automotive industry. >>You know, I love it. I always loved the IOT internet of things, story around cars, because sensors or instrumentation is a big part of it. Um, and it all comes together. So it's pretty, it's not simple. No, give it feel, give it a taste a little bit about what's it. How complicated is it, how you guys pay attention to the details? What's important. Take us through some of the, some of the inside the ropes around the IOT of the sensors and all the data. >>Yeah. So we have over 300 sensors on our race car. We collect the one and a half terabytes of data. Every race weekend, we have a thousand people, um, and the strong majority of those are working around data and technology, as opposed to physically touching the car out of those thousand people, you probably only have about 60 or 70. They're actually touch the race card at a race weekend. We've been doing connected cars for about 25 years. So that's kind of a new thing here to, to most people, but we've been communicating back and forth with our race car for, for decades all around the world. And what a lot of people don't realize is it all starts in our mission control back in our factory in Woking, England. So wherever we are around the world, the racing team actually starts in England. >>So I want to ask you about the personalities on the team. How big is the staff? What's the makeup of the personnel has to get the drivers. They're critical. They're a very dynamic personalities. We'll come to the side question on that later, but what's the staff look like on when you guys put this together. So you get, you get race day and you got back office support. >>What's the team look like? Yeah. So you've got about a thousand people that, that make up the collective team. You'll have about a hundred in marketing. Uh, you'll have about a hundred in finance, HR, and then you kind of get to the, the racing team. If you'd like 800 people, you have about a hundred people traveling to each race, uh, about 50 people back at the factory, working with data and communications that are grand Prix weekend. And then everybody else is designing manufacturing, production laminating. So we run 24, 7 shifts, uh, three shifts, uh, in certain parts. Uh, we develop, uh, 85% of the car changes of what's allowed to be changed start of the year to the, the end of the year. So the development is, is unbelievable. >>I know you're here in the U S for the U S grand Prix in Austin. Um, coming up, I'm just curious how cars get transported. >>Uh, w when we're traveling around the world, uh, they, they travel on 7 47 and are flown around the world. And then when we're in Europe, we have about 18 trucks that were communing around when we're kind of in the European part of the circuit is usually in the middle of the year. But when we're going to Australia or Singapore, Bahrain, those are, those are on planes form of the one actually does that. They give us an allocation of, of space, and then we have to write a check if we need more space than where >>Yeah. We're allowed. Yeah. And that brings up the security question, because honestly, there's a lot of fans, a lot of people are into it. Also, this potentially security risks. Have you guys thought about that obviously like physical moving the supply chain around from event event, but also technology risk. Um, how do you guys think about security? >>Yeah, it's, it's critically important. We've had, uh, fortunately we've not had any breach of our technology. We have had a breach in the late nineties of our radio communications and, uh, it was in Australia, Mika Hakkinen and a fan, uh, who I think was probably having some fun and were able to break into our radio channel and actually asked Mika to pit. He pitted team wasn't ready. And fortunately, we will run in one, two, but we actually had to reverse the drivers. So security is >>Critically important, probably Katie Scrivener, and they all look, I just hack the radio, was talking to the driver. That is a funny story, but it could be serious. I mean, now you have all kinds of >>The stuff going on and, and, you know, there's a lot of money at stake, you know, so, you know, we're fortunate in this particular instance, it didn't hurt us cause we were running one, two, so we could reverse the drivers and the right guide one. Um, but you know, that could decide, uh, a world championship and you have, you know, tens of millions of dollars online, but even besides the economics, we want to win races. >>You know, what's funny is that you guys have a lot of serious on the line stakes with these races, but you're known for having a lot of fun, the team team dynamic. I have to ask you, when you finish on the podium one and two, there's a Shui with the drivers. How'd that go down. It was pretty, pretty a big spectacle online and >>Yeah, it was, it was good, fun. That's something, obviously Daniel Ricardo is kind of developed as his thing when he, uh, when he wins. And, uh, when we were, uh, before we went on the podium, he said to me, you're going to do the shoe. Yes, of course. In the car show you got to do, we have to like a bunch of 12 year old kids, uh, on the podium, but that's where we're just big kids going, motor racing and >>The end of the day. Well, I gotta say you guys come across really strong as a team, and I love the fun and, you know, competitive side. So congratulations on that, I think is good on the competitive side, take me through the advantage, driving the advantage with data, because that's really the theme here at.com, which is Splunk, which they're a big partner, as well as your other sponsors. Data's big, you know, and it's striving an advantage. Where do you see that coming from? Take us through where you guys see the advantages. Yes. >>So, you know, everything we do is, is precision and, you know, every second, every 10th counts and, um, you know, you can get all this data in, but what do you do with this data? And the humans can, uh, real, uh, react as quickly as is, you know, people like Splunk who can help us, uh, not only collect data, but help us understand data. And, um, you know, typically there's one pit stop, which can be the difference between winning and losing. Um, you have all these different scenarios playing out with weather with tire wear competition. And so, you know, we live by data. We didn't, uh, when, in, in Russia, when we, uh, could have, and it was because we got a bit emotionally caught up in the excitement of trying to win the race instead of staying disciplined and focused on, on data. And so it's a very data-driven sport when I'm on the pit wall, there's a thing called racer instinct, which is my 30 years in the sport. And, uh, your experience and your kind of your gut to make decisions. And every time our team makes a decision that I'm sitting there going, I'm not sure that was the right decision. They're staring at data. I'm not, I'm trusting my 30 years of experience. They'd beat me nine out of 10. >>Yeah. I mean, you know, this is a huge topic too, in the industry, explainable AI is one of the hottest trends in computer science where there's so much algorithms involved. The gut instinct is now coming back. What algorithms are available, knowing when to deploy what algorithms or what data to pay attention to is a huge new gut factor. Yep. Can you explain how the young drivers and the experience folks in the industry are dealing with this new instinct full data-driven? >>Yeah. That's, you know, that's what we have 50 people back at the factory doing, and they're looking at all sorts of information coming in, and then they're taking that information and they're feeding it to our head of strategy. Who's then feeding it to our racing director. Who's getting all these data points in from tire to performance, to reliability, and then the human data from both drivers coming through their engineers. And then he gets all that information in. He has to process it immediately and make decisions, but it's, it's a data-driven sport. >>I saw Lando walking around, got a selfie with them. It's great. Everyone's loving it on Twitter. My family, like get an autograph, the future of the sport. He's a young young driver. So that instincts coming in the future sport comes up all the time. The tires are a big discussion point, but also you've got a lot of presets going on, a lot of data, a lot of going on and you see the future where there's remote, you know, kind of video game you're in the pit wall and you can make decisions and deploy on behalf of the drivers. Is that something that >>Well, that technology is there and we used to do that, but now it's been outlawed because there's a real push to make sure the drivers are driving the car. So that technology is here. It has been deployed in the past. We could do it, but we're trying to find as a sport, the balance between, you know, letting the driver do it. So he, or she might make a mistake and a little bit of excitement to it. So, um, we now there are certain protocols on what we communicate. Um, we can't, um, everything has to be driver fed into the car. So we can now you'll hear all sorts of codes that we're talking through, which there are, um, about 300 different adjustments the driver can make on the steering wheel, which is unbelievable. And so that's us seeing information, getting data in coming to conclusions that we're giving him or her information that we think will help make the car >>A lot of new dimensions for drivers to think about when they're being successful with the gut, that the track data everything's kind of coming together. >>Yeah. It's amazing. Um, when you listen to these drivers on the radio, you forget that they're going 200 plus miles an hour. Cause they sound quite relaxed in this very, you know, open and easy communication of here's what I'm feeling with. Again, we're talking all these codes and then we all, because we can hear each other, there's a lot of trickery that goes on. So for a driver to be going to turn a miles an hour, taking this information and then know what code we're talking, are we kind of throwing a code out there to put the competition off is pretty amazing that they can take this all in. >>You know, I wish I was younger again, like we're old school and the younger generation, I was having a few conversations with a lot of the young audience. They wanted me to ask you, when are you guys going to metaverse the tracks? When can I get involved and participate and maybe even make the team, or how do I become more active, engaged with the McLaren racing team? >>And that technology is almost, we're actually, um, that's in development. So I, I think it won't be long before, you know, Sunday you can log on, uh, and, and race Lando around Monaco and be in the race. So that, that technology is around the corner. >>That's the shadow thing to developing. I see that. E-sports just quick. I know you've got to go on, but last minute we have here, e-sports, what's the future of e-sports with the team, >>But e-sports been great for the sport. You know, it's gone from, you know, when I was growing up, it was video games and now it's real simulation. And, uh, so we've held, I think we're going four years into it. Now we were the first team to really develop any sports platform and we've had competitors go on to help us with our simulation. So it's, it's real racially developed the race car before it goes on the racetrack it's in simulation. And that's where e-sports, >>And this is the new advantage. This is a new normal, this is where you guys see the data driving. The >>Definitely. And I think the other thing it is, you know, somewhat stick and ball sports, you can play in school. And motor racing has historically been partying, which can cost hundreds of thousands of dollars. Now with e-sports you have a less expensive platform to let young men and women around the world, but a steering wheel in their hand and go motor racing. So I think it's also going to kind of bring that younger generation of fan and >>There's so much collective intelligence, potentially competitive advantage data. Again, data coming up final word to end the segment, Splunk, big partner on the data side, obviously helping you guys financially, as well as you do need some sponsorship support to make the team run. Um, what's the relationship with Splunk? Take a minute to talk about the plug. >>It's been a, it's been great, you know, they're, they're two big contributors. We need a lot of money to run the racing team. So they're a great partner in that respect, but more importantly, they're helping us with our whole data journey, making smarter, quicker decisions. So their contribution to being part of the race team. And, uh, we used our technology. Um, it has been great. And I think, um, you know, if I look at our technology partners, uh, we have many that all contribute to making a >>Yeah. I mean, it really is nice. It's data inaction, it's teamwork, it's competitive, it's fun. That's kind of a good, good, >>I think fun is the center of everything that we do. It's the center of everything spunk does. Cause I think if you have fun, people enjoy going to working a little bit harder. We're seven days a week. And uh, you know, a lot of teammates you've got to work well together. So I think if you're having fun, you enjoy what you're doing and it doesn't feel like work. >>Congratulations on climbing up in the rankings and everything on your team. Two great drivers. Thanks for coming on the cube. We appreciate it. Thank you. All right. We're here. The key. We like to have fun here and get all the action on the tech side. Honestly, F1 is technology enabled data, driving the advantage and driving to is a great Netflix series. Check it out. McLaren's featured heavily in there and got a great team. Zach brown Siegel. Thanks for coming on. Appreciate it. I'm sure for your host. Thank you for watching.

from around the globe it's thecube with digital coverage of exascale day made possible by hewlett packard enterprise welcome everyone to the cube celebration of exascale day ben bennett is here he's an hpc strategist and evangelist at hewlett-packard enterprise ben welcome good to see you good to see you too son hey well let's evangelize exascale a little bit you know what's exciting you uh in regards to the coming of exoskilled computing um well there's a couple of things really uh for me historically i've worked in super computing for many years and i have seen the coming of several milestones from you know actually i'm old enough to remember gigaflops uh coming through and teraflops and petaflops exascale is has been harder than many of us anticipated many years ago the sheer amount of technology that has been required to deliver machines of this performance has been has been us utterly staggering but the exascale era brings with it real solutions it gives us opportunities to do things that we've not been able to do before if you look at some of the the most powerful computers around today they've they've really helped with um the pandemic kovid but we're still you know orders of magnitude away from being able to design drugs in situ test them in memory and release them to the public you know we still have lots and lots of lab work to do and exascale machines are going to help with that we are going to be able to to do more um which ultimately will will aid humanity and they used to be called the grand challenges and i still think of them as that i still think of these challenges for scientists that exascale class machines will be able to help but also i'm a realist is that in 10 20 30 years time you know i should be able to look back at this hopefully touch wood look back at it and look at much faster machines and say do you remember the days when we thought exascale was faster yeah well you mentioned the pandemic and you know the present united states was tweeting this morning that he was upset that you know the the fda in the u.s is not allowing the the vaccine to proceed as fast as you'd like it in fact it the fda is loosening some of its uh restrictions and i wonder if you know high performance computing in part is helping with the simulations and maybe predicting because a lot of this is about probabilities um and concerns is is is that work that is going on today or are you saying that that exascale actually you know would be what we need to accelerate that what's the role of hpc that you see today in regards to sort of solving for that vaccine and any other sort of pandemic related drugs so so first a disclaimer i am not a geneticist i am not a biochemist um my son is he tries to explain it to me and it tends to go in one ear and out the other um um i just merely build the machines he uses so we're sort of even on that front um if you read if you had read the press there was a lot of people offering up systems and computational resources for scientists a lot of the work that has been done understanding the mechanisms of covid19 um have been you know uncovered by the use of very very powerful computers would exascale have helped well clearly the faster the computers the more simulations we can do i think if you look back historically no vaccine has come to fruition as fast ever under modern rules okay admittedly the first vaccine was you know edward jenner sat quietly um you know smearing a few people and hoping it worked um i think we're slightly beyond that the fda has rules and regulations for a reason and we you don't have to go back far in our history to understand the nature of uh drugs that work for 99 of the population you know and i think exascale widely available exoscale and much faster computers are going to assist with that imagine having a genetic map of very large numbers of people on the earth and being able to test your drug against that breadth of person and you know that 99 of the time it works fine under fda rules you could never sell it you could never do that but if you're confident in your testing if you can demonstrate that you can keep the one percent away for whom that drug doesn't work bingo you now have a drug for the majority of the people and so many drugs that have so many benefits are not released and drugs are expensive because they fail at the last few moments you know the more testing you can do the more testing in memory the better it's going to be for everybody uh personally are we at a point where we still need human trials yes do we still need due diligence yes um we're not there yet exascale is you know it's coming it's not there yet yeah well to your point the faster the computer the more simulations and the higher the the chance that we're actually going to going to going to get it right and maybe compress that time to market but talk about some of the problems that you're working on uh and and the challenges for you know for example with the uk government and maybe maybe others that you can you can share with us help us understand kind of what you're hoping to accomplish so um within the united kingdom there was a report published um for the um for the uk research institute i think it's the uk research institute it might be epsrc however it's the body of people responsible for funding um science and there was a case a science case done for exascale i'm not a scientist um a lot of the work that was in this documentation said that a number of things that can be done today aren't good enough that we need to look further out we need to look at machines that will do much more there's been a program funded called asimov and this is a sort of a commercial problem that the uk government is working with rolls royce and they're trying to research how you build a full engine model and by full engine model i mean one that takes into account both the flow of gases through it and how those flow of gases and temperatures change the physical dynamics of the engine and of course as you change the physical dynamics of the engine you change the flow so you need a closely coupled model as air travel becomes more and more under the microscope we need to make sure that the air travel we do is as efficient as possible and currently there aren't supercomputers that have the performance one of the things i'm going to be doing as part of this sequence of conversations is i'm going to be having an in detailed uh sorry an in-depth but it will be very detailed an in-depth conversation with professor mark parsons from the edinburgh parallel computing center he's the director there and the dean of research at edinburgh university and i'm going to be talking to him about the azimoth program and and mark's experience as the person responsible for looking at exascale within the uk to try and determine what are the sort of science problems that we can solve as we move into the exoscale era and what that means for humanity what are the benefits for humans yeah and that's what i wanted to ask you about the the rolls-royce example that you gave it wasn't i if i understood it wasn't so much safety as it was you said efficiency and so that's that's what fuel consumption um it's it's partly fuel consumption it is of course safety there is a um there is a very specific test called an extreme event or the fan blade off what happens is they build an engine and they put it in a cowling and then they run the engine at full speed and then they literally explode uh they fire off a little explosive and they fire a fan belt uh a fan blade off to make sure that it doesn't go through the cowling and the reason they do that is there has been in the past uh a uh a failure of a fan blade and it came through the cowling and came into the aircraft depressurized the aircraft i think somebody was killed as a result of that and the aircraft went down i don't think it was a total loss one death being one too many but as a result you now have to build a jet engine instrument it balance the blades put an explosive in it and then blow the fan blade off now you only really want to do that once it's like car crash testing you want to build a model of the car you want to demonstrate with the dummy that it is safe you don't want to have to build lots of cars and keep going back to the drawing board so you do it in computers memory right we're okay with cars we have computational power to resolve to the level to determine whether or not the accident would hurt a human being still a long way to go to make them more efficient uh new materials how you can get away with lighter structures but we haven't got there with aircraft yet i mean we can build a simulation and we can do that and we can be pretty sure we're right um we still need to build an engine which costs in excess of 10 million dollars and blow the fan blade off it so okay so you're talking about some pretty complex simulations obviously what are some of the the barriers and and the breakthroughs that are kind of required you know to to do some of these things that you're talking about that exascale is going to enable i mean presumably there are obviously technical barriers but maybe you can shed some light on that well some of them are very prosaic so for example power exoscale machines consume a lot of power um so you have to be able to design systems that consume less power and that goes into making sure they're cooled efficiently if you use water can you reuse the water i mean the if you take a laptop and sit it on your lap and you type away for four hours you'll notice it gets quite warm um an exascale computer is going to generate a lot more heat several megawatts actually um and it sounds prosaic but it's actually very important to people you've got to make sure that the systems can be cooled and that we can power them yeah so there's that another issue is the software the software models how do you take a software model and distribute the data over many tens of thousands of nodes how do you do that efficiently if you look at you know gigaflop machines they had hundreds of nodes and each node had effectively a processor a core a thread of application we're looking at many many tens of thousands of nodes cores parallel threads running how do you make that efficient so is the software ready i think the majority of people will tell you that it's the software that's the problem not the hardware of course my friends in hardware would tell you ah software is easy it's the hardware that's the problem i think for the universities and the users the challenge is going to be the software i think um it's going to have to evolve you you're just you want to look at your machine and you just want to be able to dump work onto it easily we're not there yet not by a long stretch of the imagination yeah consequently you know we one of the things that we're doing is that we have a lot of centers of excellence is we will provide well i hate say the word provide we we sell super computers and once the machine has gone in we work very closely with the establishments create centers of excellence to get the best out of the machines to improve the software um and if a machine's expensive you want to get the most out of it that you can you don't just want to run a synthetic benchmark and say look i'm the fastest supercomputer on the planet you know your users who want access to it are the people that really decide how useful it is and the work they get out of it yeah the economics is definitely a factor in fact the fastest supercomputer in the planet but you can't if you can't afford to use it what good is it uh you mentioned power uh and then the flip side of that coin is of course cooling you can reduce the power consumption but but how challenging is it to cool these systems um it's an engineering problem yeah we we have you know uh data centers in iceland where it gets um you know it doesn't get too warm we have a big air cooled data center in in the united kingdom where it never gets above 30 degrees centigrade so if you put in water at 40 degrees centigrade and it comes out at 50 degrees centigrade you can cool it by just pumping it round the air you know just putting it outside the building because the building will you know never gets above 30 so it'll easily drop it back to 40 to enable you to put it back into the machine um right other ways to do it um you know is to take the heat and use it commercially there's a there's a lovely story of they take the hot water out of the supercomputer in the nordics um and then they pump it into a brewery to keep the mash tuns warm you know that's that's the sort of engineering i can get behind yeah indeed that's a great application talk a little bit more about your conversation with professor parsons maybe we could double click into that what are some of the things that you're going to you're going to probe there what are you hoping to learn so i think some of the things that that are going to be interesting to uncover is just the breadth of science that can be uh that could take advantage of exascale you know there are there are many things going on that uh that people hear about you know we people are interested in um you know the nobel prize they might have no idea what it means but the nobel prize for physics was awarded um to do with research into black holes you know fascinating and truly insightful physics um could it benefit from exascale i have no idea uh i i really don't um you know one of the most profound pieces of knowledge in in the last few hundred years has been the theory of relativity you know an austrian patent clerk wrote e equals m c squared on the back of an envelope and and voila i i don't believe any form of exascale computing would have helped him get there any faster right that's maybe flippant but i think the point is is that there are areas in terms of weather prediction climate prediction drug discovery um material knowledge engineering uh problems that are going to be unlocked with the use of exascale class systems we are going to be able to provide more tools more insight [Music] and that's the purpose of computing you know it's not that it's not the data that that comes out and it's the insight we get from it yeah i often say data is plentiful insights are not um ben you're a bit of an industry historian so i've got to ask you you mentioned you mentioned mentioned gigaflop gigaflops before which i think goes back to the early 1970s uh but the history actually the 80s is it the 80s okay well the history of computing goes back even before that you know yes i thought i thought seymour cray was you know kind of father of super computing but perhaps you have another point of view as to the origination of high performance computing [Music] oh yes this is um this is this is one for all my colleagues globally um you know arguably he says getting ready to be attacked from all sides arguably you know um computing uh the parallel work and the research done during the war by alan turing is the father of high performance computing i think one of the problems we have is that so much of that work was classified so much of that work was kept away from commercial people that commercial computing evolved without that knowledge i uh i have done in in in a previous life i have done some work for the british science museum and i have had the great pleasure in walking through the the british science museum archives um to look at how computing has evolved from things like the the pascaline from blaise pascal you know napier's bones the babbage's machines uh to to look all the way through the analog machines you know what conrad zeus was doing on a desktop um i think i think what's important is it doesn't matter where you are is that it is the problem that drives the technology and it's having the problems that requires the you know the human race to look at solutions and be these kicks started by you know the terrible problem that the us has with its nuclear stockpile stewardship now you've invented them how do you keep them safe originally done through the ascii program that's driven a lot of computational advances ultimately it's our quest for knowledge that drives these machines and i think as long as we are interested as long as we want to find things out there will always be advances in computing to meet that need yeah and you know it was a great conversation uh you're a brilliant guest i i love this this this talk and uh and of course as the saying goes success has many fathers so there's probably a few polish mathematicians that would stake a claim in the uh the original enigma project as well i think i think they drove the algorithm i think the problem is is that the work of tommy flowers is the person who took the algorithms and the work that um that was being done and actually had to build the poor machine he's the guy that actually had to sit there and go how do i turn this into a machine that does that and and so you know people always remember touring very few people remember tommy flowers who actually had to turn the great work um into a working machine yeah super computer team sport well ben it's great to have you on thanks so much for your perspectives best of luck with your conversation with professor parsons we'll be looking forward to that and uh and thanks so much for coming on thecube a complete pleasure thank you and thank you everybody for watching this is dave vellante we're celebrating exascale day you're watching the cube [Music]

>> Hi everyone, this is Dave Vellante and I want to welcome you to our celebration of Exascale Day. A community event with support from Hewlett Packard Enterprise. Now, Exascale Day is October 18th, that's 10, 18 as in 10 to the power of 18. And on that day we celebrate the scientists, and researchers, who make breakthrough discoveries, with the assistance, of some of the most sophisticated supercomputers in the world. Ones that can run and Exascale. Now in this program, we're going to kick off the weekend and discuss the significance of Exascale computing, how we got here, why it's so challenging to get to the point where we're at now where we can perform almost, 10 to the 18th floating point operations per second. Or an exaFLOP. We should be there by 2021. And importantly, what innovations and possibilities Exascale computing will unlock. So today, we got a great program for you. We're not only going to dig into a bit of the history of supercomputing, we're going to talk with experts, folks like Dr. Ben Bennett, who's doing and some work with the UK government. And he's going to talk about some of the breakthroughs that we can expect with Exascale. You'll also hear from experts like, Professor Mark Parsons of the University of Edinburgh, who cut his teeth at CERN, in Geneva. And Dr. Brian Pigeon Nuskey of Purdue University, who's studying buyer diversity. We're going to also hear about supercomputers in space as we get as a great action going on with supercomputers up at the International Space Station. Let me think about that, powerful high performance water-cooled supercomputers, running on solar, and mounted overhead, that's right. Even though at the altitude at the International Space Station, there's 90% of the Earth's gravity. Objects, including humans they're essentially in a state of free fall. At 400 kilometers above earth, there no air. You're in a vacuum. Like have you ever been on the Tower of Terror at Disney? In that free fall ride, or a nosedive in an airplane, I have. And if you have binoculars around your neck, they would float. So the supercomputers can actually go into the ceiling, crazy right? And that's not all. We're going to hear from experts on what the exascale era. will usher in for not only space exploration, but things like weather forecasting, life sciences, complex modeling, and all types of scientific endeavors. So stay right there for all the great content. You can use the #ExascaleDay on Twitter, and, enjoy the program. Thanks everybody for watching.

>> Announcer: Live from London, England, it's theCUBE, covering AWS Summit London 2019, brought to you by Amazon Web Services. >> Today, we're here at the AWS Summit live at the ExCel Center in London. I'm Susannah Streeter, and this is my cohost Dave Vellente, here today. Now, we've talked a lot about the benefits of Cloud and the opportunities, and also the challenges sometimes, for startups and other businesses. But, also, there has been massive growth of the use of Cloud services by public sector organizations. And our next two guests here on theCUBE today, really, this is your area of business isn't it? So, we have Johnny Hugill, who's from Public, but also Max Peterson, VP of Worldwide Public Sector, AWS. Thank you very much for coming on to talk to us. >> Thank you. >> Now it's really interesting, during the keynote speeches, I was really taken by one of the speeches from the Chief Digital Information Officer at the Ministry of Justice, Tom Read, and he says, "We don't innovate for professional advantage, we do it to take care of people." And, Johnny, this is what your business is about, isn't it? Trying to link up startups and public sector organizations, to ensure that more people are taken care of. >> Yeah, I mean, that's exactly right. I think what we've seen in sort of almost every other sector you can think of, is this big proliferation of startups, of new market entrant's of completely new companies, really kind of coming to dominate those markets. And we haven't quite seen as much of that as I would like to see in the public sector. So, what we're trying to do is help tech startups, help innovative new companies, to come in and ultimately to deliver better services for everyone. >> There is real concern, though, among traditional companies about this. For example, your local pharmacy concerned that a really big player is going to move in and take away what they do. How do you kind of bring them along and say, well actually, if you work with a startup, it could improve the way you do business and keep you in business. >> Totally. I think pharmacy is a really interesting example. Because, in the UK, we've seen a bunch of new digital-first pharmacies come in and completely transform how people can access their pharmacy. So, Echo is one example of a UK startup that, now, you can get door-to-door prescriptions, instead of having to go to your pharmacy, make appointments, you know, waste loads of time queuing. My view is that these organizations really have to kind of get up to speed with how things work in the wider digital economy. So, people have certain expectations for how services should be delivered, for how quickly they should be accessed, to be able to access things. I think government services are no different. That's pharmacies, that's schools, that's teaching, that's everything. >> We're here in London. How big is the UK in terms of the growth of your business? >> Max: Well, the UK has been a leader for a long time, so from the time that they undertook the government digital services business through the G Cloud, 11 iterations, with big ministries, like the UK MOJ that you heard, with big nonprofits, like Comic Relief, and everything in between, educational institutions, startups. We're very proud we've partnered with Public to help continue to encourage that kind of innovation in government technology. >> I think, when we last talked Max, you, John and I, I think we were in DC. >> I think it was. >> And you were helping us understand, look, this public sector is not just about DC. And you've got a number of activities. We interviewed several of theCUBE yesterday At AWS headquarters. One of the things we talked about was GDPR. We were having a conversation with a privacy expert earlier today. He said, you know, the big players really haven't, really weren't ready for GDPR. You made a point in DC last year, you said, day-one you guys were ready, end-to-end encryption, a number of other services. so, I wanted to circle back to you. >> Max: Sure. >> I said, okay, we gotta peel the onion. I gotta ask Max, put him on the spot. You guys really anticipated this, it's not like you were scrambling at the last minute. Is that fair to say, and I wonder, if, Johnny, if you could confirm or deny that. >> Well, I would tell you that at Amazon, we think security is job-zero. If we are not making sure that we are continuously raising the bar to improve customer security, security for small businesses, then we need to do a better job. A couple of examples: GDPR was a good one, where, two months before GDPR came into a lawful requirement, Amazon announced that we were GDPR compliant. So people could confidently build on top of Amazon. In the UK, early on in 2016, we delivered one of our advanced security services called AWS Shield, which gives everybody using the AWS Cloud in the UK and, in fact, around the world, automatic protection against DDoS. No additional cost. You get it by using the Cloud. Those are the types of security services that Amazon delivers, and probably one of the most important these days, when you're working with sensitive workloads, is encryption. On Amazon, it's check-the-box easy to implement encryption for your data on the fly or when it's at rest. >> So, I hear that a lot, about encryption, and how simple it is. You guys using encryption? Do you guys got it as part of your... >> So, we work with technology companies who want to work with government, so many of the companies we back are using encryption. As I'd say, some of the, sort of, particularly in policing and defense, and some of the more sensitive areas of the public sector, this stuff is really, really crucial. And you simply can't, kind of, get into government without being GDPR compliant, and without having all of the SAP security essentials. A lot of the companies we've backed, are using AWS Cloud, have gone on to win public sector business, so, in that sense, I'm sure everything's E-checked. >> Are there any special considerations, with regard to encryption, things like, out-of-scope requirements that I should think about as a customer, or is it really as simple as Max is saying, click a button and check a box and don't even worry about it, it's all taken care of. What's your advice to people on encryption, is it just encrypt everything? >> Yeah. >> Are there performance considerations or...? >> I mean, again, it totally depends on the scale of the contract, of the requirements that your kind of going off of. For big major contracts with Ministry of Justice, Ministry of Defense, there are a number of different performance, kind of requirements, that you need to consider. But, in general, I think, yeah, it's pretty quite straightforward. >> Yes, kind of a no-brainer. >> I think the answer is encrypt everything, everywhere, all the time. And that also means on premise, it also means on your devices, right? I mean it needs to be just the standard approach that people take to data protection these days. And, unfortunately, for many organizations internally, it's hard, and so that's why people are moving to Amazon so that they get that security built in. It actually is the number one reason why people are moving to AWS today. They want the built-in security and then, after that, they want speed and innovation. And there was a really interesting statistic today at the keynote. Did you hear that LSE, London School of Economics, just completed a study and they showed that 95% of all startups that happen today would not happen if they had to depend on legacy infrastructure, because it was hard and expensive, and that's, candidly, why being a startup in today's Cloud-based world, is a much better value proposition. You can focus on the problem rather than all of these important but complicated factors like encryption. >> The other thing there, the London School of Economics study showed is the productivity gains for those companies that use Cloud. Now, there haven't been obvious productivity gains as a result of technology across the board. We're starting to finally see the uptick. Remember back in the PC days, you could see productivity, you could see upticks everywhere except in productivity, and then all of a sudden it shot up. And we've been predicting, for a couple of years now, you're going to start to see it, Cloud being one of the reasons, other new technologies, and so that was another key finding of that study that I found intersting. >> Well, Sainsbury was up on the stage today again, and what they have now found, right, was they have found a 60% to 70% improvement in productivity. That was their number up on the stage. >> Interesting, you're talking about kind of legacy companies. We've got Ministry of Justice, in fact there was a bit of a battle wasn't there? Yeah, well we've been balanced since 1170. (laughter) >> That was hilarious wasn't it? >> Sainsbury's only 150 years old. >> MOJ got up and said, "Well, in this battle of historical significance, our mission started in 1178. (laugher) >> But it's interesting to talk about those, but really, your bread and butter, Johnny Hugill, is the startups, isn't it, trying to spot talent out there and think, who could I partner these guys up with. >> Yeah, totally right. A really important thing to any organization that is trying to innovate today can do is to market horizon scanning, really understand what is out there, what the art of the possible looks like, what the new technologies that are going to change the game look like, what these companies are actually really capable of, where their sweet spot of innovation is. >> Susannah: And they might not know that themselves. >> But it's a really difficult thing to know, especially if you think about what the kind of day-to-day job of government is, which is really running the country, right? It's pretty difficult to ask them, by the way guys, you also need to really understand what the prospects of AI startups are looking like across the country, or across the world. You need to understand who the kind of BotChain innovators are. It's a big challenge, and it's something that we are really trying to help them along the way. As you said, a lot of that is partnering with bigger companies, and kind of forming the right ecosystems of smaller companies, large companies that can help them scale, and kind of taking government on that journey along with them. >> Well, and the pace of change is another challenge. Six months in this business now is an eternity it seems like. I remember crypto was so hot a year ago, I mean I'm a fan of a lot of the underlying technologies. It was interesting to see how Amazon dealt with that. You asked a lot of questions, like what do you really need to do this, you guys came up with a couple of solutions there, but, keeping up with the pace of change is one of the, I would think, one of the key values that you provide. >> It's really a challenge, and I think now, in infant tech, 15% of the financial revenue in the UK has come from startups founded in the last five years, right? So a big legacy market as important as financial services, has just been completely turned on its head, by Revolut, by Monzo, by all these new guys. And in government we are going to see the same thing at some point. >> Dave: I'd observe that in financial services those are good examples, but the industry still hasn't been disrupted yet. Healthcare still hasn't been disrupted. They're both ripe for disruptions and it's happening. >> Max: Yeah, but I think if you look at those, that's part of what Johnny was saying. Some of these early industries, like finance, have maybe been the initial disrupters, but I do believe that there is a wave of opportunity and disruption coming in this whole gov-tech space. One of them recently was at Zuna. Zuna came in and acquired a contract with UK government that completely upended an old way of doing job search. They had a better mousetrap. And, fortunately, in this case, government recognized it and they used them. >> [Johnny} Yeah, I mean, I would say that was a really momentous thing. The most used website in the entire UK Government, which is the kind of find-a-job search site. As Zuna came along, replaced an incumbent supplier who'd been doing it for years, probably quite badly, came along with their new AI-driven platform, using AWS Cloud and are now just delivering a service that everyone prefers. >> Dave: I saw NHS has announced, what, a half-billion pound almost, transformation project, modernization. And when you peel the onion, you see a lot of startups. Behind the startups, you see a lot of Cloud going on because the Cloud attracts startups, startups are where the innovation is, and if you're going to modernize and spend a half-billion pounds, you better look to the innovation engine. >> Yeah, one of the things about the Cloud computing and one of the things about government policy that's critical, is that it actually encourages that kind of innovation. Because a lot of small companies are the source of new ideas, but, procurement sometimes gets in the way. One of the things that we think, in fact, has worked well is the UK G Cloud contract, where on the UK G Cloud, over 90% of the suppliers on the G Cloud contract are in fact small and medium enterprises, and where 45% of the sales since inception on G Cloud have actually gone to SMEs. >> So it's really transformative. >> yeah. >> Well thank you very much for talking to us about this really fascinating space. I really appreciate it Max Peterson and Johnny Hugill. Thank you for joining us on theCUBE. >> Thank you. >> Thank you so much. >> Great talk. >> That's all from us for now from the Excel Center AWS Summit here in London.

>> From the Hard Rock Hotel in Las Vegas, it's theCUBE! Covering HoshoCon 2018! Brought to you by Hosho. >> Okay, welcome back everyone, we're here live in Las Vegas for the first security blockchain conference's inaugural event, HoshoCon, and it's all about the top brains in the industry coming together, with experience and tech chops to figure out the future in security. I'm John Furrier, the host of theCUBE. Our next guest, Andre McGregor, who's the partner and head of global security for TLDR. Welcome to theCUBE, thanks for joining me. >> Thank you for having me. >> So you have a background, we were just talking off-camera, FBI, you've been doing the cyber for a long time, cyber-security, mostly enterprise-grade, large-scale. Now we're in crypto, where you have small set of teams, running massive scale, with money involved. >> Correct. So guess what, money attracts. >> Right. People who want it, want that money. Lot of hacks, $400 million in Japan, plus 60 million over here, you add it all up, there's a billion so far this year, who knows what really the number is, it's pretty big. >> It is, and what's concerning and the reason why I came over in this space was the number of hacks that were happening. My company, we get probably a call a week, whether it's high net worth individuals, CEO, exchanges, we've helped a couple, some that you'd know of if I told you who they were, trying to get out of a very bad situation. And interim response has been big, but what we've learned is that it's the same old fraud, the same old security tactics that are being used against some of these crypto-companies. >> And we've seen it all the time, everyone's had fraud alerts on their credit card, this is like classic blocking and tackling, at a whole 'nother level. >> It is, because if you think about it from, like a traditional start-up, you have a company that's small, they have time to develop their MVP, they go out and do maybe a seed round, friends and family, they're sort of ramping up over time, whereas we basically flipped the model upside-down, the same six founders now have $10 million worth of crypto, and they're not protecting it in the ways they think they should, because they're in hyper-growth mode. So the bad guys have determined that as a great place to target, and now as we see in the news, it's actually happening. >> Yeah, and Hartej, the co-founder of Hosho, was just one talking about physical security, in the sense of you got to watch out where you go too now, it's not just online security, it's physical security. So start-ups have that kind of fast and loose kind of culture. >> Well, if you think about it, traditional security in corporations, I can put everyone in a building, I have this similar or same network egress points, I can protect those, I can do the gates, guards, guns, perimeters around, but I got people working from home now in the crypto space, everyone's got their own setup. If someone's in an audience, they say oh, I've been in the blockchain space since 2010 or 11, I can make assumptions about them, about their financial worth, and other people are doing the same, but having nefarious reasons. >> Yeah, you connected the dots okay, it was $0.22 in 2011, so therefore, if they had kept a little bit of Bitcoin-- >> They would be doing very well. >> They're a target. >> Therefore, they're a target now. So when you think about it, you put all those scams together, it becomes sort of a hot topic for-- >> I just got into crypto. (laughs) >> Good answer, good answer. >> Alright, so let's talk about this security hack. Because obviously, in the enterprise tech, we cover a lot of those events across the year. IoT Edge is a huge topic, cloud computing booming, so now you have a lot of compute, which is good, and for bad actors too. So you have now a service area that's now, no perimeter, there's no egress points to manage. Is there a digital way to kind of map this out, and does blockchain give us any advantages or is there anything on the horizon that you see, where we can, in digital form? >> Well, I mean the true reason I came to the blockchain space, having worked hundreds of victim notifications and several dozen actual intrusions, from large intrusions at banks that are top five in the world, all the way down to small core defense contractors, you realize it's always a server you didn't know about, credentials that had more access than they should, obviously gaining access to a centralized server, that then gets exposed and allows that data to be leaked out. So the idea of blockchain and being able to decentralize, distribute that data, own it, and keep it cryptographically pure, and also being able to essentially remove the single source of failure that we saw in a lot of these hacks is exciting. Obviously, blockchain is also not the answer to everything. So in some ways, the spread sheet is still a spread sheet, and the MongoDB will still be the MongoDB, but-- >> The post-it next to your computer, your private key on it. >> But at the same point in time, it all comes down to cyber-hygiene, right? I mean, the stuff that we're looking at, the hacks that we're seeing, the hacks that I'm dealing with and my company dealing with, day in and day out, are not sophisticated. They may be sophisticated actors, but they're using insophisticated means, and of course, I hate to harp on it, but e-mail is still the number one intrusion vector, we all have it, we all use it. You could take stats from the FBI that says 92%, you could take stats from Verizon that says 93%, but that will be the number one way in. >> And phishing is the classic attack point. >> It will always be, because-- >> It's easy. >> I can manipulate people, I find the right opportunity, I always say even I've been phished. It happens, the way your mind is, it's just how you react, is what we need to teach people. >> It's really clicking on that one thing, that just takes one time. >> Yep. >> A PDF that you think is a document from work, or potentially a job opportunity, a new thing, sports scores, your favorite team, girlfriend, boyfriend, whatever, I mean, you don't know! >> But, I'm going to challenge you on this, you get, you click on that bad link, or you feel like your computer has been hacked, who do you call? Do you actually have someone that you can call? There's no cyber 911. Unless you are a high net worth individual, or being targeted by a nation-state, you're not calling the FBI. So who do you call? And that's a problem that we have in our industry right now. I mean, I guess I've been the person that people have been calling, which is fine, I want to help them. 12 years as a firefighter on top of my FBI career, I'm used to helping people in time of need. But really, in the grand scheme of things, there's not enough Mandiants or Verizons are too big. So for these smaller, six-person companies, that don't have $500,000 to spend on instant response, they actually have no one to call when they actually do click something bad. >> And the people they punch in a call, the ones that aren't actually there to help them. Sometimes they get honey-potted into another vector. >> Sure. >> Which is hey, how can I help you? >> Or I even challenge it a bit further. You call any of these companies when your phone has been hacked, you SIM-swap, whatever it is, and you need to sign a master services agreement, you need to go through all the legalese, while you're actively being hacked. Like, it's happening hour after hour, and you're seeing it, your accounts are being compromised and being taken over, and you're trying to find outside counsel to do redline. So in emergency services, we say, don't exchange business cards at the disaster site. It's not the time that you should be saying hi, I'm introducing myself, we should figure out all the retainers, inter-response, legal questions beforehand, so that at 2:00 in the morning, someone calls, and you have someone pick up the phone. >> Yeah, and you know what the costs are going to be, 'cause it's solve the problem at hand, put out that fire, if you will. Okay, so I got to ask you a question on how do people protect themselves? 'Cause we know Michael Terpin's doing a fireside chat, it's well known that he sued AT&T, he had his phone SIM swapped out, this is a known vector in the crypto community. Most people maybe in the mainstream might not know it. But you know, your phone can be hacked. >> Yes. >> Simple two-factor authentication's not enough. >> Correct. >> What is the state-of-the-art solution for people who want to hold crypto, any meaningful amount, could be casual money, to high net worth individual wants to have a lot of crypto. >> I mean, I spent a good amount of my time talking about custody. We've sort of pivoted off to a new part of our business line, that deals specifically around institutional custody solutions, and helping people get through this particular process. But we all know, especially from that particular case, that SMS compromises, after account takeover of a phone, is high. Hardware tokens are always going to be something that I'm going to, Harp or YubiKey, or something like that, where I'm still having the ability to keep a remote adversary away from being able to attack my system that has my private keys, or whatever high-value data I have on it. But if I think about it at the end of the day, I'm going to need to transfer that risk. I would like to say that we can transfer all risk, but instead for the people that have a lot of crypto, you're going to need to look for a good custody solution, you're going to need to look and trust the team, you're going to need to look and trust the technology they have, and you're going to have to get insurance. Because there are so many vectors, in a certain point in time, we can't go back to the wild west, where we're actually >> The insider job is, is really popular now too. >> It is, but there are ways around the collusion, counterparty, third party risk of ensuring that not one person can take the billion dollars worth of crypto and run away off to Venezuela and never appear again. But again, it comes down to basic hygiene. I ask people, I've surveyed hundreds of people in the crypto space, and I ask simple questions like VPNs, and I'm still getting a third to a half of people are using VPNS. Very simple things that people are not doing. When you looks at password for example, if anyone still has a password under 12 characters, then game over. I mean, there are a variety of ways of hacking them. I can use GPU servers to do them very quickly. I won't go into all the different options that are there. People still-- >> So 12 characters, alphanumeric obviously, with-- >> With special characters as well. >> Special characters. >> But the assumption, let's just make the assumption, that either those passwords have been cracked already, because they've already been dumped, people share passwords, they get used again, and then the entropy is exponentially higher with every single character after 12. So my password's 22 characters, sure it's a pain to type it in, but when you think about it, at the end of the day, when I combine that with a password manager that also has a YubiKey that's a hardware token, and I require that access all the time, then I don't run into the problem that someone's going to compromise a single system to get into multiple systems. >> And then also, I know there's a lot of Google people as well, they're looking at security at the hardware level, down to the firmware. >> Sure, sure. >> There's all kinds of-- >> I mean, obviously, you could use the TPM chip as well, and that's something that we should be better at, as a society. >> So while I got you here, I might as well ask you about the China super micro modchip baseboard management controller, BMC, that was reported in Bloomberg, debunked, Apple and Amazon both came out and said no, that's been confirmed. They shift their story a little bit too, the reality probably there is some mods going on, it's manufactured in China. I mean, it's a zero-margin business going to zero, why not just let the Chinese continue to develop, and have a higher-value security solution somewhere else, that's what some people are discussing, like okay, like the DRAM market was. >> Yep. >> Let the Japanese own that, they did, and then Intel makes the Pentium. Wall Street Journal reported that, Andy Kessler. So the shifts in the industry, certainly China's manufacturing the devices. There's no surprise when you go to China, and if you turn on your iPhone, it says Apple would like to push an update, but that's not Apple, it's a forged certificate, pretty much public knowledge. The DNS is controlled by China, and a certificate, these are things that they can control, that's, this is the new normal. >> It, it-- >> If you know the hardware, you can exploit it. >> We've been dealing with supply-chain issues since Maxtor hard drives in Indonesia. So was I shocked when I hear stories about that? No, I'm sort of scared myself into a corner, working in skiffs over the years and reading the various reports that come out about supply chain poisoning. >> Certainly possible. >> It's happening. I mean, it's just to what extent is still something that may or may not be known to its full extent, but it's something that will happen, always happens, and will continue to happen. And so at a certain point in time, capitalism does step in and says alright, well, guess what, China, the way I see it is, China wants to be a super-power. At a certain point, they know that people are looking at them, and saying we can't trust you. So they're going to clean up their house, just like anyone else. >> It's inevitable for them. >> It is inevitable. Because they need to show that they can be a trusting force, in the world economy. And at the same time, we're going to have competition out there that's essentially going to say, alright, we can actually prove to have a much better, stronger, validated supply chain that you'll use. >> I mean, IoT and blockchain, great solutions for supply chain. >> 100%. >> I mean, so this is where-- >> I mean, we're talking, I mean, I was actually on a plane flying from Phoenix, to Santa Fe, New Mexico, and I was sitting next to a guy, who was just like, I just want to use a blockchain to be able to deal with a supply chain around compromised food. So in the sense that if you think about it, fish for example, there's a lot of fake fish, fake type of tuna and other stuff that's out there, that people don't know the difference. But the restaurants are paying double, triple the amount of money for it. You start taking things like elephant tusks, you take things like just being able to track things that no one's really thinking about, and you're just like huh, I never thought of it that way. So at the end of the day, I still get surprised with what people are thinking about, that they can do with the blockchain. >> So Andre, question for you here, this event, what's the impact of this event and for the industry, in your opinion? Obviously, a lot of smart people here talking, candidly, sometimes maybe a little bit contentious about philosophies, regulation, no regulation, self-governance, lot of different things being discussed as exploration, to a new proficiency level that we need to get to. What are some of the hallway conversations you're hearing, and involved in? >> A lot of mine are obviously around custody. That is the topic of the moment. And for me, I'm in learning mode. I recognize that I've spent a lot of time in cyber-security. However, whereas it relates to blockchain and digital asset custody, whether it's utility tokens or security tokens, I'm on the CFTC Technology Advisory Committee, specifically, with cyber-security and custody, and so I want to take in as much information as I can, bring it back to the committee, bring it back to the commissioners, and help them create the proper regulations and standards, whether it's through an SRO, or it's through the government itself. >> For the folks that may watch this video later, that are new to the area, what does custody actually mean? Obviously, holding crypto, but define custody in context of these conversations, what is it, what's the threshold issues that are being discussed? >> Sure. I mean, to break it down, custody is very similar to a bank. So you are, you're saying I have a lot of X. It could be baseball cards, it could be gold bars, it could be fiat cash. And I want to have someone hold it, and I'm going to trust them with that. Of course, I'm transferring that risk, and with that, I have an expectation to have a qualified custodian, that has rules and regulations of how they're going to actually manage it, how they're going to control it, ensure that the risk, that people aren't going to take it. It could be, again, the Monet, it could be the Johnny Bench Ricky card, it could be 100 million blocks of gold. But I also want to have a level of insurance. That insurance could come from the insurance industry themselves, and allowing me to protect it in case something does happen to that, or the government. The FDIC, $250,000 for your bank account is a type of insurance that people are using. By the end of the day, from an institutional perspective, you want a pure custodian that takes all the risk. The government wants to say a certain point, that that custodian can allow for margin call, so that the client can't come in and say, well I'm not going to pay out $100 million worth of crypto, and I'm going to seize, or seizure of funds as well. And that's what's being set up right now. Traditional banks are not ready to handle that. Traditional auditing firms, like PWC or Ernst & Young, are still trying to figure out how they'd even be given a qualified opinion, as it relates to how-- >> So it's not so much that they are not have the appetite to do it, they don't have systems, they don't have expertise, >> They don't have systems, they don't have expertise, >> They don't have workflows. >> And right now, things are so new and so volatile, that they're sort of almost putting their toe in the water, but really not sure what the temperature is yet of the water to hop in. >> If someone wants to go to court, you say hey, prove it. Well, it's encrypted, I don't know who did it. >> Well, and the thing is is that when you have 53 states and territories with different money-transmitting laws, on top of the countless federal agencies and departments that are managing that, it is hard to come to consensus. It is much easier in a place like Bermuda, where the government is small enough where everyone can get together pretty quickly, have consensus on an opinion of how they want to deal with the crypto market, deal with custody, pass a regulation, and what's nice about Bermuda is it has crown ascendancy, so the UK government still approves it. >> And they move fast on the regulation side. They literally just passed-- >> They are the only jurisdiction that has a fully complete law surrounding cryptocurrency. >> You're bullish on Bermuda. >> I am, because I saw the efficiency there. And I expressed my same opinion with the CFTC, when I was doing my hearing last week, that it's nice to see the speed, but it's also a small island that allows for that speed. >> And they have legitimate practices that have been going on for years in other industries. >> Right, so there's no dirty money, there's no anything that people are sort of concerned with, they have the same AML, KYC, anti-money laundering and know your customer regulations that you would expect if you had your money in the United States. >> Yeah, we had a chance to interview the honorable charge there. >> Premier Burt, oh very nice. >> Yeah, he's great, and Toronto, so it's awesome. >> Nice. >> Alright, so final takeaway, for this show here, what's your takeaway about this event, the impact to the industry? >> This is a very important event, because I think people are still trying to get their footing around blockchain, they're still trying to get their footing around digital asset protections. And if we can get the smart people in one room, and they can share knowledge, and then we can come together as a community, and create some standards that make sense, then we're protecting the world. >> Well Andre, I'm glad you're in the industry, 'cause your expertise and background on the commercial side and government side certainly lend well to the needs. (laughs) So to speak. We need you, we need more of you. Thanks for coming on theCUBE, really appreciate your commentary and your insight. It's theCUBE, bringing the insights here, we are live in Las Vegas for HoshoCon, I'm John Furrier with theCUBE, we'll be back with more coverage after this short break. (upbeat music)

>> Announcer: Live from San Juan, Puerto Rico, it's theCube! Covering Blockchain Unbound. Brought to you by Blockchain Industries. (lively music) >> Welcome back to theCube's live special coverage here in Puerto Rico for Blockchain Unbounded which is the global event where people from around the world are coming from Silicon Valley, New York, Miami, all over the globe, Moscow, all over the world here to talk about blockchain decentralized internet, and of course, cryptocurrency. Your next guest is Olga Petrunina with Adara.IO. Welcome to theCube. >> Hi, happy to be here. >> Thanks for coming on. So you're from Moscow which it's cold there right now. What's it like? >> It's minus 15. (laughs) It's much better here in Puerto Rico. I'm happy. >> It's so exciting to have you. Thanks for coming on. So the global conference, this is really a global phenomenon. Take a minute to explain what you're working on, what the product is, what it will become, is it launched yet, what's the company about. Take one minute to explain. >> Okay. We are building intelligent blockchain ecosystem which consists of exchange and crypto wallet with artificial intelligence mechanism inside. We are providing access to the crypto for Main Street investors who have no idea about crypto, want to invest, just put their money in our wallet, pick up the strategy, and just get money. (chuckles) >> So you're targeting mainstream investors, not like the insiders? >> No, no, of course we have professional players on our platform because we're going to educate our investment mechanics with strategy of professional groups of traders. >> So are you going to have an exchange and software behind it? Explain the architecture of the solution. >> All right, we are based NEM. It's our core partner. We are early adapter surveying their protocol, Catapult. We integrated it in our exchange because they have really good new features like aggregated transactions when you can send a pool of different currencies in one transaction. That's a really great idea. Also, they implemented the centralized exchange in their protocol. So our exchange right now is centralized. We're going to build the decentralized part of our exchange based on Catapult. >> Are you worried about the centralized portion because of recent hacks? How are you thinking about doing that? >> Yeah, in case we are using a NEM protocol, they have like four layers of security. As for me, it's the most secure and most scalable protocol. Of course, we are using the cold wallets connected to our platform so we are not storing anything on hot wallets. It's like 95% storing on the cold wallets. >> What's your biggest fear? >> Oh, (laughs) spiders. (laughs) No, I just-- >> Is that a cryptocurrency I don't know about yet? (laughs) >> As for me, the biggest problem for crypto is regulation. Now, we have to... Like they're building the structure for obtaining different licenses in different countries. So we have bought update for licenses in Dubai, in Estonia, and also we are going to apply in Switzerland. So it's really hard to negotiate, everyday the new news regarding regulations. >> So talk about where the exchange will be. You mentioned Dubai. Are you having one in one nation or you having multiple countries participating? How does it work? Does everyone have to participate? >> In case of that in Dubai, there is no legal structure, for example, bank licenses in crypto, so we're going to have to invent licenses in crypto in Switzerland. In Dubai, we obtained for license trading crypto into commodities because Dubai, they're focused on commodities base. In Estonia, we received a payment system license and brokerage license. >> So one of the big news this week is Coinbase, one of the most popular exchanges, had done a deal with the UK government. I don't know if you saw that, the Financial Conduct Authority, the FCA, just now gave them a license for their fast-payment service for Fiat. So a new government move, really interesting. Are the governments that you're talking to thinking the same way? >> Yeah, we talked to Central Bank of Dubai. They're also going to legalize all the crypto and involve their blockchain and cryptocurrency with companies to set up in their legal structure in Dubai, the same with Estonia also. Everybody want to be like the "crypto alien." (chuckles_ >> The crypto Wall Street. >> Yeah, the crypto Wall Street. >> And every country wants to do it, Puerto Rico, Armenia, Bahrain wants to get in on the action. >> Yeah, the same with Russia. We are members of Russian Blockchain Association. We are working on laws for Russian government regarding crypto. It's going to be pretty good regulation. We'll publish in this summer, like July. So I hope that the-- >> Olga, talk about the entrepreneurial landscape in Russia right now. How vibrant is it? We know they have technology savvy. >> About me? >> And Russia in general. >> And Russia in general. >> In Russia, in Moscow. >> Yeah, a lot of good blockchain developers. >> And the young kids. >> Vitalik is Russian. (laughs) >> I interviewed his mom, by the way. >> Our developers based in Moscow, that's why I'm also based in Moscow. Everybody like crazy about crypto in Moscow because I think we have a lot of good tech background in Russia so why not use it for blockchain expansion. >> Great Russian expertise. I know a lot of Russian developers are good, but also in Estonia, there's some great developers, too, all over the world. >> Right, but Russia has >> It's a global revolution. >> In blockchain. Vitalik Buterin is Russian, so it makes a lot of sense. (laughs) >> When we get him on theCube, we'll grill him. What do you hope to do in the next? What's next for you? >> We're going to be public in June. Now we already developed our exchanges for (mumbles) and security check. After that, we're going to build our artificial judges of investment mechanisms, so we need like one year and a half for educated. Our next step, we are thinking about taking utilization real assets also because we already have all these elements which is necessary for the organization in our core partners technology, NEM. So I think we will move in this year also. >> What is the main thing that you're going to use in your exchange that's going to make you different? >> What's different about your exchange? >> We have a lot of expertise from different traders around the world. All of them are claiming about their unstable APIs of exchange, and we are focused on high scalability and like best technologies in API building of exchange because we need a lot of traders on the platform. We have development that APIs for follow trade. So it's like our best feature, I guess. >> What kind of partnerships are you looking to do with other people? >> We're looking for traders, of course, because we need them to bring our platform, to bring forth great entity to our platform. We are looking for companies which going to list on our exchange. Looking for investors, also. >> Olga, what do you think about this conference here? >> Oh, it's pretty amazing. Our first time in Puerto Rico. I was really surprised. It's amazing country, amazing island, and a lot of good connections. So, I'm happy to be here. >> It's a global landscape right now. >> Yeah right, it's global, peer-to-peer economy. (laughs) >> Well, Olga, thank you for coming on and sharing, theCube. We learned something today. You don't like spiders. >> (laughs) Right. (laughs) Thank you for inviting me. >> You're afraid of spiders. >> Thank you very much. >> Thank you. >> All right, more of Cube coverage here in Puerto Rico. I'm John Furrier, the host of theCube. Extracting the signal from the noise here in Puerto Rico. It's theCube's continuing coverage of the blockchain, cryptocurrency, and the decentralized application revolution. We'll be right back after this short break. (lively music)

>> Announcer: Live from San Juan, Puerto Rico, It's The Cube! Covering Blockchain Unbound, brought to you by Blockchain Industries. (upbeat music) >> Hello and welcome to The Cube's exclusive coverage here in Puerto Rico. We are on the ground covering Blockchain Unbound, Restart Week, Coin Agenda, a variety of events happening here in Puerto Rico, where the world is converging from Silicon Valley, New York, across the globe, here for a long week of bitcoin, blockchain, cryptocurrency, the decentralized internet. We're here for two days, wall to wall coverage. Here with me, kicking off, and special guest Miko Matsumura, who's the founder of Evercoin, also a venture partner at Bitbull Capital, influencer. Been around the block in the industry, seen many waves. Miko, great to have you on The Cube. >> Terrific, great to be here. >> So one of the things I want to get with you, we've had many conversations off camera over the past year, about what makes this wave super different than others. I've been saying, with Dave Allant and our team, that it feels like all the waves combined. I mean, look at all the major inflection points in the industry. The PC revolution, the mini computer revolution, the PC revolution, inner-networking with TCPIP, the internet revolution. You kind of had a web 2.0 thing going on, with the beginning of democratization. But now, major inflection point with infrastructure change with blockchain, cryptocurrency, and decentralized applications, which is disrupting the developer community. So you have an entire stack being disrupted, and at the center of it is an opportunity. >> Miko: Yeah, I think what you described earlier in our conversation, about this notion of a killer app, right? There's a bunch of people kind of clowning around, saying like, "Oh what's the killer app for blockchain?" It's under our noses, it is open source money, right? So if you look at what happened with open source software, for the past 25 or more years, we've watched software eat the world. Software has eaten the world. We all know this. Mark Andreasen said it famously, right? So the point is, is that open source has eaten software. Right? So now, what do you think is going to happen next with open source money? Open source money is going to consume proprietary money. >> I completely agree with you, and you look at all the tell signs in the industry, a lot of people putting the brakes on Google banning ads on Google, you're seeing the SEC putting signals out there, but the problem is this is a global money marketplace. So you have a global ecosystem now, connected via the internet, you have disruptive technology that kills the gatekeepers and any central authority, and you have money. So you can put the big rock in the river and try to hold the stream, but the thing is just moving so fast that the dam can be broken no matter what's put in place, because moving money faster, running money, whatever you want to call it, makes a difference. And today, breaking news is that Coinbase got a license to support the UK's faster payment scheme, which will speed up time for faster payments. So essentially the UK is taking a pre-emptive move against the US government, this is a game changer. They could kind of go to the top of the pack in terms of sovereignty leadership in the financial world, because how they handle the money situation. If they tap the software market, if they make the open source money work, this is again, the game is on. This is a real data point, the UK government. This isn't some underground economy, this is a nation. >> Well, and there's no question that domicile competition creates an open playing field for a planetary establishment of protocol, right? So the thing that's amazing about it is absolutely that there's no national regulator that has a global footprint. And so at the end of the day, the thing that's fascinating about what's happening is that the reason why I'm so confident about open source money is that it competes for consent, right? So it's really trying to acquire users by providing better services. And what government entity can resist, for the long term, something that's actually trying to provide a better and better and better financial infrastructure? >> Miko, I've got to ask you, because I've seen your presentation, and we've talked many times about open source money. I want you to take a minute and describe, what is open source money? Also you mentioned software eating the world, that's the seminal Wall Street Journal article that Mark Andreasen wrote about around the 10X engineer, and how software, cloud, computing, all these big data technologies, can change the nature of enterprise competitiveness. You're kind of teasing that out with software and money, open source. What is open source money? >> So, if you go to the bitcoin.org website, you're going to see the title of the website, and it basically, title tag says "peer to peer open source money." So those aren't even my words, those are the words of Satoshi Nakamoto. Open source money. Open source money basically just means, So let's say that money is software, and it is software, so if you buy something with a credit card, what do you think is happening? It's all software. So money is already software. There's some money now, paper money, that's not software, but that's all going to become software. Once you accept that money is software, then what kind of software should it be, right? And what has happened is open source software has always eventually won with respect to closed source software. So proprietary money is probably back on its heels because open source money is coming, and I think that's really the power of developers and the power of consent. >> I think one of the nuanced points, just to kind of highlight that, to kind of take it one step further, is if you look at proprietary, you mentioned the word proprietary. If you look at the open source revolution with software, everything that was proprietary essentially got dismantled, down to either some irrelevant point, or a smaller role in whatever that system would be, whether it's a mini computer or a mainframe, or software. Open source always seemed to grow into the primary, first tier citizen of the mechanism. So there's history on our side. What, in your mind, makes this movement, with open source money, different? Is it the reshaping of the internet infrastructure stack? Is it the decentralized application developer? Is it the role of the currency? Because you now have three dimensions of change. >> Yeah, so to me, I love your mindset about this kind of combination, and I just want to characterize my position properly, which is that I'm not a crypto anarchist or even a crypto libertarian. And when people talk about proprietary money being back on its heels, if you watch what happened to open source and proprietary software, the proprietary software industry is larger and more valuable than it's ever been. So I'm not saying proprietary money goes away. It doesn't go away, it continues to grow and become valuable but what happens is open source money will essentially take over all of the commodity functions and become the platform. >> And certainly the alpha geeks, everyone that I know that's an entrepreneur, that I would call kind of pure entrepreneurship, whether they're old or young, are gravitating to this magnet of opportunity. What are you seeing? Obviously you're in a lot of advisory boards, and you really can't do all of them, but you're getting a lot of requests. We just had a conversation with some entrepreneurs here in the hallway. What are some of the conversations that you've had that really kind of point to the energy and the relevance of this new ecosystem that's emerging? >> I think one of the things that's extremely exciting to me is that there seems to be a race going on between basically three parties. I'd say one party is sort of what I call the blockchain for good. So there's actually a tremendous amount of NGOs, there's non-profits, there's the United Nations getting involved. Tremendous amount of folks working on beneficial foundation backed projects, ripple works. There's a tremendous, huge open source foundation feeling that's happening. Second party is really more of the commercial cryptocurrency and blockchain, represented in large part now by the ICO movement, about six billion dollars. But the third arm, which is actually the negative side, is that there actually are a lot of scammers, and a lot of, like, dark forces inside of the cryptocurrency movement. So that's why I think we welcome, kind of, more regulatory influence. Because, you know, none of us want to see bad actors in the space. >> And what's the coolest project you're involved in? Pick a favorite child. >> Well, at the moment, you know, the sponsor of this conference is actually lottery.com, which is tremendously exciting. A couple of others to mention that I think are exciting are Celsius Network, so that's a large scale lending platform, and then Hub Token. So Hub Token is building essentially a problem. It's a protocol that solves a problem of second party trust in the internet of value. >> Well, Miko, great to have you on. I really appreciate your friendship, and I really appreciate the feedback you've had for The Cube team so we can be better with our open content model, we're open sourced content, as everyone knows. Thanks for sharing your perspective in the data with the crowd. People can find you online, what's your twitter handle, how do they get ahold of you? >> So you can follow me on MikoJava on twitter, but my website is miko.com. Miko.com. >> Great URL, obviously an early pioneer of the domain name, land grab, great job. Miko.com. Miko Matsumura, thought leader, influencer, investor, advisor. Really in the front lines of this movement, this revolution. Legitimate revolution in the changing of the world for good and for businesses. This is The Cube coverage from Puerto Rico, we're back with more live coverage after this short break. (upbeat music)

>> Announcer: Live from Washington, D.C., it's theCUBE covering AWS Public Sector Summit 2017. Brought to you by Amazon Web Services and it's partner ecosystem. >> Welcome back, live here on theCUBE along with John Furrier, I'm John Walls. Welcome to AWS Public Sector Summit 2017. Again, live from Washington, D.C., your nation's capital, our nation's capital. With us now is our host for the week, puts on one heck of a show, I'm want to tell you, 10,000 strong here, jammed into the Washington Convention Center, Theresa Carlson from World Wide Public Sector. Nice to have you here, Theresa. >> Hi, good afternoon. >> Thanks for joining us. >> Love theCUBE and thank you for being here with us today. >> Absolutely. >> All week in fact. >> It's been great, it really has. Let's just talk about the show first off. Way back, six years ago, we could probably get everybody there jammed into our little area here, just about I think. >> Pretty much. >> Hard to do today. >> That's right. >> How do you feel about when you've seen this kind of growth not only of the show, but in your sector in general? >> I think at AWS we're humbled and excited and, on a personal level because I was sort of given the charge of go create this Public Sector business world-wide, I'm blown away, I pinch myself every time because you did hear my story. The first event, we had about 50 people in the basement of some hotel. And then, we're like, okay. And today, 10,000 people. Last year we had it at the Marriott Wardman Park and we shut down Connecticut Avenue so we knew we needed to make a change. (laughing) But it's great, this is really about our customers and partners. This is really for them. It's for them to make connections, share, and the whole theme of this is superheroes and they are our superheroes. >> One of the heroes you had on the stage today, John Edwards from the CIA, one of your poster-children if you will for great success and that kind of collaboration, said something to the effect of quote, "The best decision we ever made at the CIA "was engaging with AWS in that partnership." When you hear something like that from such a treasured partner, you got to feel pretty good. >> You just have to drop the microphone, boom, and you're sort of done. They are doing amazing work and their innovation levels are really leading, I would say, in the US Public Sector for sure and also, not just in US Public Sector but around the world. Their efforts of what they're doing and the scale and reach at which they're doing it so that's pretty cool. >> John, you've talked about the CIA moment, I'd like to hear the story, share with Theresa. >> Oh, you're going to steal my thunder here? >> No, I'm setting you up. That's what a good partner does. It's all yours. >> Well, John, we've talked multiple times already so I'll say it for the third time. The shot heard around the cloud was my definition of seminal moment, in big mega-trends there's always a moment. It was when Obama tweeted, Twitter grew, plane landing on the Hudson, there's always a seminal moment in major trends that make or break companies. For you guys, it was the CIA. Since then, it's just been a massive growth for you guys. That deal was interesting because it validated Shadow IT, validated the cloud, and it also unseated IBM, the behemoth sales organization that owned the account. In a way, a lot of things lined up. Take us through what's happened then, and since then to now. >> Well, you saw between yesterday at Werner Vogels' keynote and my keynote this morning, just the breadth and depth of the type of customers we have. Everything from the UK government, GCHQ, the Department of Justice with the IT in the UK, to the centers for Medicare for HHS, to amazing educational companies, Cal. Polytech., Australian Tax Office. That's just the breadth and depth of the type of customers we have and all of their stories were impactful, every story is impactful in their own way and across whatever sector they have. That really just tells you that the type of workloads that people are running has evolved because I remember in the early days, when you and I first talked, we talked about what are the kind of workloads and we were talking a little bit about website hosting. That's, of course, really evolved into things like machine learning, artificial intelligence, a massive scale of applications. >> Five or six years ago when we first chatted at re:Invent, it's interesting 'cause now this is the size of re:Invent what it was then so you're on a same trajectory from a show size. Again, validation to the growth in Public Sector. But I was complimenting you on our opening today, saying that you're tenacious because we've talked early days, it was a slog in the early days to get going in the cloud, you were knocking on a lot of doors, convincing people, hey, the future's going to look his way and I don't want to say they slammed the proverbial door in your face but it was more of, woah, they don't believe the cloud is ever going to happen for the government. Share some of those stories because now, looking back, obviously the world has changed. >> It has and, in fact, it's changed in many aspects of it, from policy makers, which I think would be great for you all to have on here sometime to get their perspective on cloud, but policy makers who are now thinking about, we just had a new modernization of IT mandate come out in the US Federal Government where they're going to give millions and millions of dollars toward the modernization of IT for US Government agencies which is going to be huge. That's the first time that's ever happened. To an executive order around cyber-security which is pretty much mandated to look at cloud and how you use it. You're seeing thing like that to even how grants are given where it used to be an old-school model of hardware only to now use cloud. Those ideas and aspects of how individuals are using IT but also just the procurements that are coming out. The buying vehicles that you're seeing come out of government, almost all of them have cloud now. >> John and I were talking about D.C. and the political climate. Obviously, we always talk about it on my show, comment on that. But, interesting, theCUBE, we could do damage here in D.C.. So much target-rich environment for content but more than ever, to me, is the tech scene here is really intrinsically different. For example, this is not a shiny new toy kind of trend, it is a fundamental transformation of the business model. What's interesting to me is, again, since the CIA shot heard around the cloud moment, you've seen a real shift in operating model. So the question I have for you, Theresa, if you can comment on this is: how has that changed? How has the procuring of technology changed? How has he human side of it changed? Because people want to do a good job, they're just on minicomputers and mainframes from the old days with small incremental improvement over the years in IT but now to a fundamental, agile, there's going to be more apps, more action. >> You said something really important just a moment ago, this is a different kind of group than you'll get in Silicon Valley and it is but it's very enterprise. Everybody you see here, every project they work on, we're talking DoD, the enterprise of enterprises. They have really challenging and tough problems to solve every day. How that's changed, in the old days here in government, they know how to write acquisitions for a missile or a tank or something really big in IT. What's changing is their ability to write acquisitions for agile IT, things like cloud utility based models, moving fast, flywheel approach to IT acquisitions. That's what's changing, that kind of acquisition model. Also, you're seeing the system integrator community here change. Where they were, what I call, body shops to do a lot of these projects, they're having to evolve their IT skills, they're getting much more certified in areas of AWS, at the system admin to certified solution architects at the highest level, to really roll these projects out. So training, education, the type of acquisition, and how they're doing it. >> What happened in terms of paradigm shift, mindset? Something had to happen 'cause you brought a vision to the table but somebody had to buy it. Usually, when we talk about legacy systems, it was a legacy mindset too, resistant, reluctant, cautious, all those things. >> Theresa: Well, everything gets thrown out. >> What happened? Where did it tip the other way? Where did it go? >> I think, over time, it's different parts of the government but culture is the hardest thing to, always, change. Other elements of any changes, you get there, but culture is fundamentally the hardest thing. You're seeing that. You've always heard us say, you can't fight gravity, and cloud is the new normal. That's for the whole culture. People are like, I cannot do my project anymore without the use of cloud computing. >> We also have a saying, you can't fight fashion either, and sometimes being in fashion is what the trends are going on. So I got to ask you, what is the fashion statement in cloud these days with your customers? Is it, you mentioned there, moving much down in the workload, is it multi-cloud? Is it analytics? Where's the fashionable, cool action right now? >> I think, here, right now, the cool thing that people really are talking about are artificial intelligence and machine learning, how they take advantage of that. You heard a lot about recognition yesterday, Poly and Lex, these new tools how they are so differentiating anything that they can possibly develop quickly. It's those kind of tools that really we're hearing and of course, IOT for state and local is a big deal. >> I got to ask you the hard question, I always ask Andy a hard question too, if he's watching, you're going to get this one probably at re:Invent. Amazon is a devops culture, you ship code fast and you make all these updates and it's moving very, very fast. One of the things that you guys have done well, but I still think you need some work to do in terms of critical analysis, is getting the releases out that are on public cloud into the GovCloud. You guys have shortened that down to less than a year on most things. You got the east region now rolled out so full disaster recovery but government has always been lagging behind most commercial. How are you guys shrinking that window? When do you see the day when push button commercial, GovCloud are all lockstep and pushing code to both clouds? >> We could do that today but there's a couple of big differentiators that are important for the GovCloud. That is it requires US citizenship, which as you know, we've talked about the challenges of technology and skills. That's just out there, right? At Amazon Web Services, we're a very diverse company, a group of individuals that do our coding and development, and not all of them are US citizens. So for these two clouds, you have to be a US citizen so that is an inhibitor. >> In terms of developers? In terms of building the product? >> Not building but the management aspect. Because of their design, we have multiple individuals managing multiple clouds, right? Now, with us, it's about getting that scale going, that flywheel for us. >> So now it's going to be managed in the USA versus made in the USA with everything as a service. >> Yeah, it is. For us, it's about making sure, number one, we can roll them out, but secondly, we do not want to roll services into those clouds unless they are critical. We are moving a lot faster, we rolled in a lot more services, and the other cool thing is we're starting to do some unique things for our GovCloud regions which, maybe the next time, we can talk a little bit more about those things. >> Final question for me, and let John jump in, the CIA has got this devops factory thing, I want you to talk about it because I think it points to the trend that's encouraging to me at least 'cause I'm skeptical on government, as you know. But this is a full transformation shift on how they do development. Talk about these 4000 developers that got rid of their development workstations, are now doing cloud, and the question is, who else is doing it? Is this a trend that you see happening across other agencies? >> The reason that's really important, I know you know, in the old-school model, you waited forever to provision anything, even just to do development, and you heard John talk about that. That's what he meant on this sort of workstation, this long period of time it took for them to do any kind of development. Now, what they do is they just use any move they have and they go and they provision the cloud like that. Then, they can also not just do that, they can create armies of cores or Amazon machine images so they have super-repeatable tools. Think about that. When you have these super-repeatable tools sitting in the cloud, that you can just pull down these machine images and begin to create both code and development and build off those building blocks, you move so much faster than you did in the past. So that's sort of a big trend, I would say they're definitely leading it. But other key groups are NASA, HHS, Department of Justice. Those are some of the key, big groups that we're seeing really do a lot changes in their dev. >> I got to ask you about the-- >> Oh, I have to say DHS, also DHS on customs and border patrols, they're doing the same, really innovators. >> One of the things that's happening which I'm intrigued by is the whole digital transformation in our culture, right, society. Certainly, the Federal Government wants to take care of the civil liberties of the citizens. So it's not a privacy question, it's more about where smart cities is going. We're starting to see, I call, the digital parks, if you will, where you're starting to see a digital park go into Yosemite and camping out and using pristine resources and enjoying them. There's a demand for citizens to democratize resources available to them, supercomputing or datasets, what's your philosophy on that? What is Amazon doing to facilitate and accelerate the citizen's value of technology so it can be in the hands of anyone? >> I love that question because I'll tell you, at the heart of our business is what we call citizen service, paving the way for disruptive innovation, making the world a better place. That's through citizen's services and they're access. For us, we have multiple things. Everything from our dataset program, where we fund multiple datasets that we put up on the cloud and let everybody take advantage of them, from the individual student to the researcher, for no fee. >> John F.: You pick up the cost on that? >> We do, we fund, we put those datasets in completely, we allow them to go and explore and use. The only time they would ever pay is if they go off and start creating their own systems. The most highly curated datasets up there right now are pretty much on AWS. You heard me talk about the earth, through AWS Earth that we have that shows the earth. We have weather datasets, cancer datasets, we're working with so many groups, genomic, phenotypes, genomes of rice, the rice genome that we've done. >> So this is something that you see that you're behind, >> Oh, completely. >> you're passionate about and will continue to do? >> Because you never know when that individual student or small community school is out there and they can access tools that they never could've accessed before. The training and education, that creativity of the mind, we need to open that up to everybody and we fundamentally believe that cloud is a huge opportunity for that. You heard me tell the 1000 genomes story in the past of where took that cancer dataset or that genome dataset from NIH, put it into AWS for the first time, the first week we put it up we had 3200 new researchers crowdsource on that dataset. That was the first time, that I know of, that anyone had put up a major dataset for researchers. >> And the scale, certainly, is a great resource. And smart cities is an interesting area. I want to get your thoughts on your relationship with Intel. They have 5G coming out, they have a full network transformation, you're going to have autonomous vehicles out there, you're going to have all kinds of digital. How are you guys planning on powering the cloud and what's the role that Intel will play with you guys in the relationship? >> Of course, serverless computing comes into play significantly in areas like that because you want to create efficiencies, even in the cloud, we're all about that. People have always said, oh, AWS won't do that 'cause that's disrupting themselves. We're okay with disrupting ourselves if it's the right thing. We also don't want to hog resourcing of these tools that aren't necessary. So when it comes to devices like that and IOT, you need very efficient computing and you need tools that allow that efficient computing to both scale but not over-resource things. You'll see us continue to have models like that around IOT, or lambda, or serverless computing and how we access and make sure that those resources are used appropriately. >> We're almost out of time so I'd like to shift over if we can. Really impressed with the NGO work, the non-profit work as well and your work in the education space. Just talk about the nuance, differences between working with those particular constituents in the customer base, what you've learned and the kind of work you're providing in those silos right now. >> They are amazing, they are so frugal with their resources and it makes you hungry to really want to go out and help their mission because what you will find when you go meet with a lot of these not-for-profits, they are doing some of the most amazing work that even many people have really not heard of and they're being so frugal with how they resource and drive IT. There's a program called Feed the World and I met the developer of this and it's like two people. They've fed millions of people around the world with like three developers and creating an app and doing great work. To everything from like the American Heart Association that has a mission, literally, of stopping heart disease which is our number one killer around the world. When you meet them and you see the things they're doing and how they are using cloud computing to change and forward their mission. You heard us talk about human trafficking, it's a horrible, misunderstood environment out there that more of us need to be informed on and help with but computing can be a complete differentiator for them, cloud computing. We give millions of dollars of grants away, not just give away, we help them. We help them with the technical resourcing, how they're efficient, and we work really hard to try to help forward their mission and get the word out. It's humbling and it's really nice to feel that you're not only doing things for big governments but you also can help that individual not-for-profit that has a mission that's really important to not only them but groups in the world. >> It's a different level of citizen service, right? I mean, ocean conservancy this morning, talking about that and tidal change. >> What's the biggest thing that, in your mind, personal question, obviously you've been through from the beginning to now, a lot more growth ahead of you. I'm speculating that AWS Public Sector, although you won't disclose the numbers, I'll find a number out there. It's big, you guys could run the table and take a big share, similar to what you've done with startup and now enterprise market. Do you have a pinch-me moment where you go, where are we? Where are you on that spectrum of self-awareness of what's actually happening to you and this world and your team? In Public Sector, we operate just like all of AWS and all of Amazon. We really have treated this business like a startup and I create new teams just like everybody else does. I make them frugal and small and I say go do this. I will tell you, I don't even think about it because we are just scratching the surface, we are just getting going, and today we have customers in 155 countries and I have employees in about 25 countries now. Seven years ago, that was not the case. When you're moving that fast, you know that you're just getting going and that you have so much more that you can do to help your customers and create a partner ecosystem. It's a mission for us, it really is a mission and my team and myself are really excited, out there every day working to support our customers, to really grow and get them moving faster. We sort of keep pushing them to go faster. We have a long way to go and maybe ask me five years from now, we'll see. >> How about next year? We'll come back, we'll ask you again next year. >> Yeah, maybe I'll know more next year. >> John W.: Theresa, thank you for the time, very generous with your time. I know you have a big schedule over the course of this week so thank you for being here with us once again on theCUBE. >> Thank you. >> Many time CUBE alum, Theresa Carlson from AWS. Back with more here from the AWS Public Sector Summit 2017, Washington, D.C. right after this. (electronic music)