>>Welcome back to the cubes, continuous coverage of HP es latest Green Lake announcement firehose of innovation. We're seeing a >>cadence >>that HP is delivering in cloud services. Daniel Newman is here, he's the principal analyst at the tour, um, extraordinary research company. Daniel great to see you how you doing man. >>Dave Great to, great to be in person again six ft and safe. But it's good to be back. >>Yeah, it really is uh, been a blur. Right? So we're gonna talk about the pivot to cloud based services. We're seeing that everybody is sort of leaning in HP es all in. I want to talk about value and what this all means to investors. We talk about data, but let me start with the whole as a service move. As I said, everybody's doing it. You see it virtually every companies. Hp was certainly the first to say we're all in, It communicated very well to Wall Street. Everybody's in a debate. No, we were first. No, we were first, but you gotta evaluate based upon the actions that they're taking. How do you look at the trends in this space and how do you look at H. P. S performance? >>Yeah, I admired and Antonio's early pivot, you know, when he got on stage and he said, We're gonna move everything to as a service. I believe that was about two years ago now and the ambition was to have it by 2022. It immediately stood out to me because the momentum, the momentum was behind public cloud, you would have believed three years ago that every workload was going to be in the public cloud and unfortunately guys like us knew that wasn't true. But what we did know was the customers, the enterprise, we're all becoming very comfortable and preference was starting to be shown with that consumption of it meaning subscription based, moving from Capex to apex. That to me was a signal that the timing was right now. Once they got the timing right, it was really about how does this all happened right? It's not necessarily just, we're gonna flip a switch and we're going to start to offer everything as a subscription as a service. There's a lot of standing up those services, putting all that compute all that network, all that storage into a data center, making sure that you have a way to accurately price it and make it quickly consumable, which is something by the way I've admired over the past couple of years, watching the evolution of the software that HP has been rolling. Whether that's Green Lake Central as moral, is that, you know, whether that's kubernetes in the orchestration of hybrid cloud using containers or that's just the ability to spin up a single compute workload in a timely fashion. That's the attraction to public cloud. So, you know, take H P E and its strategy aside and what we have now is you have all of the traditional big iron I T O E M all moving in this direction concurrently. They all understand from both evaluation standpoint meeting Wall Street and also meeting the customer where they are, they have to step up. They had to, uh, whether that was what I was doing with apex Cisco with plus iBMS acquisition of red hat. All these companies were going from, you know, public to private, private to public and then of course you gotta go horizontal from edge to cloud as well. It's a lot to undertake Dave but it's an exciting time and knowing that hybrid is the answer the data is proving that it puts a lot of these companies in a good position to compete. >>Now you mentioned that is the customer preference for good reason. Right? That gives them more flexibility but there's also Wall Street's preference, right? You see that, you know, huge valuations companies like snowflake data, dog elastic. It's that annual recurring revenue that is appealing. They want that they want growth. We saw Q3 hp that did a beaten raise I think 1100 customers for green lake, they announced the orders were up well over 40%. I think revenue was up 30 30 plus percent. So those are the kind of metrics that Wall Street wants to see interestingly though Daniel of course the shift to an A. R. R. Model hurts the income statement but it makes it more predictable and that's what investors today want, what your thoughts. >>Absolutely. I had a chance to speak multiple times over the past few years with the leadership at HP. And it was the exact thing. David that I that I raised, I said you realize that it might be a sidestep or even a half a step backwards before you start to gain momentum. And the real problem with Wall Street is there's no patients. So you mentioned a couple of names like data dog and snowflake. These companies have exponential valuations to earnings because they don't earn anything yet. But most of the market is forward looking and the market tries to anticipate where growth is going to come and saAS companies tend to drive fast growth and fast multiples. This is also left for somewhat slow growth evaluation for companies like HP. Despite the fact that it's doing a lot of the right things you mentioned of course mid double digit growth in green lake, large customer growth numbers. You know, I believe you're serving a billion dollars in revenue or in subscription dollars. Um, fact check that on their >>way to a billion on their way to be honest. I think >>it's booked maybe over >>700 million in revenue that way. >>And so as all those, the confluence of all those events, the market has to be able to basically cherry pick though a part of the business. And I think that's been a little bit of a problem. Not just for HP, but just for all these companies that are, that are struggling with smaller multiples of their P. E ratios. This is true for Cisco? This is true for IBM this is true for for HP and I'll kind of close my thought here. But as the company continues to talk about green Lake and it continues to lean into this, this is the part that has to rise to the front front of the Wall Street investor of the business media to say that existing part of the business is stable, It's solid. They have great customers. However, concurrently the part of the business that is the future, the subscription part that attaches to the public cloud that is enabling companies to grow. That is where they're at. And that is why we see more value. There's a lot of value to unlock and it's because, you know, these small multiples and the business is heading in what I believe is the right >>direction. And HPV last quarter cited, they hit almost 35% gross margin, which is, which is a high mark, high water mark for them if you extract VM ware out of Dell there in the mid twenties. So these are two different businesses and I think that's a big reason why Dell's moving into the space. I almost think like the board conversation at HP was, hey, let's, let's not keep thinking about building boxes. Let's build services and let's add value to those services that are software based and then we can kind of control our own destiny as opposed to kind of intel getting all the margins and or M. D. Or whatever it is. So so that so how do you see as a service driving value for H. P. E. It's customers and ultimately what do they have to do to convince Wall street >>recurring revenue companies drive higher multiples? It's not even a debate and companies that have a large percentage of their business as recurring tend to drive much higher evaluation and tend to also be more beloved by shareholders. The performance of HP has been good, it's been solid, it's been in the right place especially given the circumstances of the pandemic and the impact of on prem it we all saw the explosion of SAS the explosion of cloud, you know, SAS and chips are hot, they're always hot. But everything that was sort of sandwiched in the middle became a little bit more murky throughout the pandemic times. And the ability for HP. And these companies that are in this space are operating to be able to bridge this gap. The companies have 25 or so percent of workload during the public cloud. That means the rest need services from companies like HP. So the tam is growing because the overall size of the workload, the volumes of data are all growing exponentially and that's an opportunity but the market wants to see fast growth. Dave I mean they're not going to accept the single digit overall growth if you want to get the kind of multiples of a, you know, even a Microsoft at a 40 or a sales force at 100. But HPV with its software is starting to play in those spaces where investors in the market maybe can start to recognize that it is undervalued. >>So we live in a data centric world, Antonio talks about this all the time and we're seeing HP makes some moves in terms of data data management, you see what they're doing with his moral and that's a big part of the software place. So to the extent that you can lean into that wave have a higher contribution from software, higher margin business obviously and a more predictable revenue stream. That seems to be the right direction in my view. Um it's gonna take some time to play out. They're not gonna overnight, you know, they don't have a green sheet of paper, they clean sheet of paper, they have a business that they have to manage and they have to service their customers. But to the extent that the majority of their business over time can become as a service, shouldn't that confer higher margins and and greater value to investors? Yeah, it's sticky >>for enterprise users when you move to that subscription model, it's not as easy as just lifting and shifting you build your entire business process around these investments in these technologies. Software. It's sticky, it's organizationally complex because where HP sits in the stack, where their analytic solutions and software help you more successfully deploy S. A. P type workloads. The entire company runs on that. So the involvement and the importance of the role that HP is playing is huge. The challenge for customers isn't as big customers get this, the enterprise users, the C I O. S. They get the importance Wall Street though it's a little harder for them sometimes to digest. Whereas they might be looking at something like a snowflake that you mentioned. That's fairly straightforward. Almost all of its revenue is pure subscription and it's looked at as 20 years in a perpetuity where people are still trying to wonder is HP gonna be sticky? Are these customers not only going to keep with HP but are they going to increase? Right. Is that net revenue expansion going to take place across the portfolio? And HP rolls out more services right. Started with storage and then it moves to compute and then it adds edge layer services. Are people going to buy the whole stack? Because that of course, also as we've seen with some of the bigger players can be an extremely attractive value proposition. >>Well, I also think as they move into cloud, HP has always been about optionality. So I feel as though with their day to play, for example, they can get deeper into data management but they can also partner with others, you're leaning into open source so that means you can expand your portfolio that's kind of what the cloud game is is you know, here's the cloud, we got all these different options, choose what you want, we'll manage it for you, charge you for that but we'll take away that headache. That's a good business, >>choose your own cloud adventure last week oracle reported. Um and I'm only pointing this out because you know, you look at the company and everybody was what's with their i as number? Why is it not big or smaller? Why don't we know right. But over the last couple of years we've realized that it's no longer little seeing big see little C which I would call infrastructure as a service no longer exists. Cloud is one big number. So H P E being in the cloud through its hybrid services, its software, its platform support is just as much about being in the cloud is a company that offers I. S. Or company that offers SAs however convincing the market that this is the case is the trick. We're starting to see companies because you you hear when IBM reports how their numbers are, you know, they're they're tying in all kinds of global business services and they're tying in you know, red hat numbers and they're telling in their public cloud numbers but what I'm saying is up to this point, a lot of these hybrid services are kind of not necessarily being bucket ID like this big sea of cloud but it really is the entire stack of of infrastructure platform software and then of course all those attached services for companies to deploy this that equal a cloud number. And so the subscription number grows. Green Lakes customer account grows. And I think convincing the street and everybody in between that this is a cloud number and not a on prem or a attached to the cloud number is going to really help boomer boom, the overall value that people see and what HP is doing. >>And I think not only H P E but I think others are I think finally they're starting to realize that wow, you know, we all know everything is not going to public cloud. We understand it's a hybrid world Public cloud spend a company's the hyper scale is collectively spent $100 billion dollars last year on Capex. That's like a gift to a company like HP that can connect the dots and create that abstraction layer that hides the underlying complexity. We'll take care of that for you will make everything cloud native. We can bring cloud native on prem and go out to the edge, which is like the Wild West that is a that's a trillion dollar opportunity that there's no limit to market potential for companies out there and HP specifically. >>Well the edges a massive opportunity and that's what I said, you know, a lot of us are and we do this ourselves as both analysts and sometimes media personalities is we like to debate how big the opportunity of cloud is. And of course there are some firms that try to market size this, but I actually think it's extraordinarily difficult to market sizes, especially because of the edge. You talk about data and analytics. I recently attended the a event. It's a car event in Munich and you just look at the amount of data that vehicles are going to be creating in the in the coming years. They're basically massive rolling data centers full of chips, compute networking storage. This is all going to take significant infrastructure investments at scale and it's creating this humongous opportunity at the edge and you look at five Gs impact and as we roll out five G it's scale. Every one of these things brings more data connects, more devices and all that intelligence needs infrastructure, It needs software, it needs services. So the overall tam Dave is going to continue to grow and I think if anything it tends to be underestimated because it's really hard to define just how big the data equation is actually going to be in the market. >>Digital changes the equation. It's not, it's no longer servers, storage, networking database, its cloud services that are enabling digital transformations. I'll give you one more >>thing that just crossed my mind. But I think is important is if you even look at the the S. G. And sustainability efforts that most companies are going to be taking the amount of investment in trying to capture, comprehend manage just the data and analytics to understand your footprint and understand how you are going to achieve carbon neutrality and how you're going to do this up and down. And I mean that's just one thing and of course that's a, I wouldn't call it table stakes at this point, the market expects every company to be making this kind of investment well, when you run a multi national global enterprise that has edge, that has data centers that has manufacturing facilities, there is just unbelievable requirements on technology. And again, we've got to connect that public cloud somehow. So we can't ignore the fact that those public cloud players are all addressing this, they're all bringing solutions out. But companies like HP, this is where their sweet spot is, and this is where I believe they're going to have to compete very aggressively and efficiently to show we are a great partner to the public cloud, but our legacy and our capabilities mean we understand this part of the business, we believe we're the right fit and trust me, the Azure and AWS are, they're not going to make this easy, they're going to be competitive but they're also going to going to be very cooperative >>well, and they're coming into the home court of the on prem vendors. So that's gonna be interesting to see how that plays out as an observer, as an analyst, what do you want to see from HP, Green Lake cloud services? What are the, what are the areas that you're gonna be watching that could serve as indicators of success and momentum? >>Well, we didn't even talk because we did talk about some of that, but we didn't even talk about aI and amount for instance, all this data itself has to be managed and processed. So the fact that you're getting to that data management at scale, the fact that you're building out orchestration for containers. Well this is because of that data delusion conundrum, whatever word we want to use for it. But the best companies in the world are going to find a way to extract more value from that data and that's going to be through the application of aI of ml of neural networks, deep learning and other important capabilities. Having a foot into that Dave is something I want to see HP and it already does, but I want to see the participation there. This is an area that I think public cloud is doing really well there. They really made big investments both with homegrown chips with partnering with the likes of videos and intel to, to offer a lot of enhancement acceleration, um Ml and AI services. I think this is gonna be an area that on prem and through hybrid offerings. We're gonna want to see the company compete. Uh and then of course, I think back to the one thing Dave, I'll just kind of wrap on this, is that that customer growth, I mean you talked about how to get evaluation, how to get the street up, people get excited about overall growth. They need to get that narrative carved out about green, like about the subscription growth, the service growth point next and all that stuff, but all that has to start to equate to overall growth. Um you know, I think it needs to be made at least single high digits, single overall percentage growth, especially because the whole portfolio supposed to be there. You know, companies get those big multiples are growing >>fast growth on, on that large of a base would get people's attention. You mentioned custom chips, H P >>E, you >>know, H P S H P S heritage and HP. They have chops in custom silicon. So be interesting to see if, if you know the future, you talk about ai inference at the edge, huge disruptive potential opportunities and I'm really curious as to see how that plays out because that is another trillion dollar market opportunity. Daniel, thanks so much for coming to the cubes. Great to have you looking forward to working with you in the future. >>Yeah, it's great to be here. And sorry, we didn't get to those chips earlier. We could have gone down a whole, another whole, another >>half hour. Great, great to talk to you. All right, thank you for watching everybody. This is the cubes, continuous coverage of HBs, Big Green Lake announcement. Keep it right there for more, great content. Mhm.

>>Welcome to this cube conversation. I'm john Kerry host of the cube here in Palo alto California. We got a hot startup doing new things differently. The new way the cloud native way brendon, Hannigan, Ceo of sun rays securities. They deliver an awesome new solutions platform on all clouds to change the game and how security is done Brendan. Thanks for joining me on this cube conversation. >>Really nice to talk to you today, john >>you know, I loved showcasing companies that are, that are thinking about their entire optimizing their efforts to bring in the new, the new way to do things. And we certainly with the pandemic we've seen and everyone's validating this general global consensus that cloud scale and devops and def sec apps is generating a new kind of modern applications and this is just clearly has been known for a while inside the industry, but now it's mainstream. You guys are building a company around this notion of security. So let's get into it. What do you guys do is get right to it? What's the product? >>Well, firstly to get going And before getting into the specifics of product, john just I like to frame it, which is the ways in which I started out as a software engineer. You know, a long, long time ago built a company based on classic, traditional ways of developing software. The way we develop software has just changed dramatically change from stem to stern. We've gone from monolithic applications to microservices. We've gone from 18 month development cycles to two weeks from business units and I. T. Controlling it to devoPS teams. And then the amazing this is the incredible thing from a security perspective is we used to call up people in traditional networks and data centers to reconfigure the firewall so I could put my application of data center. But now I represented in code infrastructure is code that basically represents the infrastructure I have shows up in of course the cloud. The reason why I'd like to explain this story is we talk about cloud security and the complexities of cloud security. That's just where it all comes together. The reality is everything has changed around it. And we have a simple belief if everything has changed in terms of how it is, you build technology, value, deploy it and operators, we have to change how it is reduced security and it has to be also from stem to stern. So that's what basically that's why we started this business. Our mission is simple. We want to reinvent how it is. People secure new technology in these new environments and we do it by building a service that sits on top of companies usage of cloud amazon as your google cloud. And we help find risks automatically, eliminate them, Make sure they never come back and then deliver incredible new ways of continuously monitor activity to prevent cyber security incidents from happening in the first place. >>So this reinvention is a big, big trend. We've talked about this on the cube, you know, with many guests, even Pat Gelsinger's now the ceo of intel. When was that VM ware told us that you need to do over it in security, got to redo it all, not just incremental improvement. You know, fundamental revolutionary change was you're basically getting out here. So the question is top to bottom reinvention totally get that. How do you do it? Okay, Do you change the airplane engine out of 30,000 ft? It's hard people, it's easier said than done. What are the elements to reinvent security >>in this? We have we have a magical opportunity here because of cloud. So what happens is into traditional data centers and the traditional enterprise networks, There's, there's kind of Control points that are traditionally, which we understand and security John, right. And it's built up over 2030, 50 years. Right. And there's certain ways around which we rotate our security controls and you're familiar with them, right? Firewalls, Endpoint, antivirus security, information, security, event management system. Think of all those things, those control points are not relevant in the cloud. It's not, it's, they're interesting. V p c s and narrow grooves are kind of interesting in the cloud. Totally insufficient. So there's a necessity to reinvent and there's new control points and I will then tell you why it leads with an incredible better result. The new control points of the cloud, we believe and strenuously push when we speak to our customers, our identities. And it's not about Brandon and john, it's nearly always about non people identities, serverless functions, pieces of compute containers, all of these things have rights to like people. The second control point our data. Where is it? We used to have a data center. It's in the word, it says it data center, but in this instance I may have 20 devops teams. Each one of them is using RDS. One of them is using elastic cash. One of them is using a different thing. So data is the second one. The third one is applications. Why is this so important? The service providers have done a great job with core infrastructure. They give us two mechanisms to set up these environments. We need to help our customers organize and reinvent our security around these three pillars. The reason why it's so important, I love what you said is God, we've got to start from scratch. You get to start from scratch and when you do it, you actually can deliver a level of granularity and control and security that is unimaginable in the traditional enterprise network and data center. >>It's like golf, you got an extra Mulligan off the T if you hit it out of bounds and security, you get a do over. This is this is an opportunity. I love that concept because this is I mean it's not many times you get this clean sheet of paper or the opportunity to to pivot or reinvent or refresh re platform re factor whatever word you use. This is a time >>once in our life this transition, we know digital transformation is transforming industries, every industry is feeling it. We can see and understand the significance of the inventions like like AWS, it's an amazing invention, the power of it and what it delivers to us. The opportunity which is a must take opportunity is reinventing security from top to bottom. And by the way if you don't do it, if you just do this kind of half I have asked you end up with a mess on your hands if you do it properly, you end up in a better place than you would have been a traditional enterprise network and data center. >>The old expression you gotta burn the boats to get people motivated to kind of get it done right with the cloud. Let me ask you questions. Identity security and the data secure. Love that perspective because Identity the first thing in terms in my head when you said that was I thought about the identity of the individual their I. D. You know and you could actually get down to the firmware of a phone or you know to fact multifactor authentication. I get that access authentication. You're talking more in terms of other naming spaces and naming systems like specifically around services and applications identity, not just users. Right? >>Can you expand more on that? We we we we understand this as many people now understand this at a superficial level, but they haven't truly understand stood what's under the hood of what's happening inside cloud when you have reinvented applications, microservices, applications, auto scaling applications, it's all cloud is about incredible innovation happening across teams. What happens in the cloud is you have developers, administrators creating workloads. Those work clothes have huge numbers of compute functions which could be a container, a compute instance, a serverless function. They're gaining access to resources, other compute resources, cues and data to give you a sense of scale job you could have a company. It's not unusual. 80,000 pieces of compute 20,000 active at a particular point in time. We've got companies and then they assume these roles which give them access and rights to do things on these cloud services. It's not unusual to have 10,000 rolls in a cloud environment across multiple different accounts. Now, you see the identities, these pieces of compute have rights to do things. That's good because I can restrict what they do. It can be bad because if I don't have a handle on it, it's a mess. By the way, when you talk about this scale, human beings can't process this much information must be able to understand the risks, configure and automate remediation of these risks. The cloud providers give us the tools to build these flexible workloads. They're incredibly flexible. The dark side of it is in experience and basically inefficient deployment of those tools can lead to a whole host of risks that, quite frankly a lot of customers don't fully appreciate yet. >>And then people call that day to operation. But I love this idea of identity, the thousands and thousands of services out there because with microservices and you're seeing coming out of the cloud native world is these these new kinds of services could be stood up and torn down very quickly. So, you know, the observe ability trend is a great indicator in my opinion of this whole, you know, manic focus on data. So, you know, because you need machines to know, you don't know if something could be terminated and and stood up not even knowing about it, it could be errors. How do you log it? Right. So this is just an example. What's your thoughts on that? What's your reaction? Is that right? >>Ephemeral nature is the beauty of cloud. Right. Because, you know, there's problems that even now when we build our, we have a cloud native application ourselves and when we have a problem sometimes, of course we can go in and spin up 400 servers to go solve a problem and spin them back down half an hour later. We couldn't do that before a cloud. We can actually have developers doing this incredible rapid work with serverless functions to go and interrogate data to go out of data. Like to go and do analytics. It's wonderful. But what you said is their ephemeral. Now, just think about an environment. 20,000 pieces of compute 10,000 active, lots of 20 different teams across a 50 amazon accounts. Somebody comes in and basically during a period of time compromises. It compromises something and gets access to data, but it's a federal, it just comes and goes, we have to know that we have to know what's possible. We have to know if it's happened and then we have to basically greatly minimize the possibility of that happened. My promise because I'm security people are always trying to scare everybody which is valid. However, my promise the power of this cloud has created complexity opportunities but actually it also gives us the solution because using analytics machine learning in our case graphing technologies, we can actually find these things and give micro control two workloads so that actually we can see these things and automatically eliminate these risks and that was impossible >>in the the automation is programmable. You can actually set policies around automation. Pretty cool. I gotta ask you about get to the technical and want to understand the graphics and the platform more. But I want to ask you the question on the reinvention. If I follow your your playbook Yes. What's the end results? Can you take me through the all in bet the redo what happens? Can you just take me through the day in the life of an outcome? What's it look like and walk me through that? >>So firstly what the outcome I want to give our clients is they have these complex cloud environment spreading across, you know, any, even a moderate sized enterprise. What I basically want to be able to give our clients and when we have delivered for our clients is they basically managed to break that cloud from being this amorphous thing into specific work clothes. Each and every one of those workloads have specific controls in place that understand how that workload should operate in this environment across staging development and production. And actually we're able to essentially locked down what it is these workloads can do from an identity perspective, a data access perspective, a platform rights perspective and then monitor anything that changes. That's one thing. So the complexity were actually able to push away the complexity leveraged up lower to give that level of granularity at very deep levels. Identity, data platform. The second thing, actually, and this is john again, what's possible will clown? It doesn't it can't be all security teams, its security needs, It could be audit teams, its developers. So we have customers who have onboard tens and tens and tens of teams onto our platform. Why do we do that when we're finding issues and finding things that need to be resolved for directing it directly to the development teams? So we're saying developer to get into production, you're going to have to fix your identity set up in this environment. It's too risky, but it doesn't have to go to the security team. The security team will only hear about it if the developer doesn't fix it. >>Got it. So they're proactive, >>we're involving the teams responsible for creation and resolution of issues. The security and cloud teams are setting up the ground rules for a workload to operate in this environment and now we've got a level of granularity across workloads, whether they're in production or not. That basically is wonderful. That's the that's the ultimate endgame. >>What's the uh status of the vision and product on execution uh where your customers at now? Um how do you feel about it? Where is it going? Can you share a little bit about the roadmap and kind of where the product is? Uh It's a huge vision, it sounds easy to do, but it's not >>it's not actually and, you know, underlying it also, we actually, we've production service, we have wonderful, very large customers who are deployed and operational on our platform. You know, an example of one of them would be world fuel services, fortunate 93 company were the center of their kind of new security environment and operating model for everything they're doing and cloud. It's a beautiful story job. They've gone from in, in, you know, a few years ago. They 22 to the centers today to to yeah, it's unbelievable. And now all that future real estate were the center of that cloud security operating model. What does it mean? A 50 ft plus different teams on boarded onto the platform, following the rules of the road. If they don't follow the rules where all the exceptions are coming in and we're doing a continuous monitoring process underneath it. What is it that we've done? That's interesting. We actually have this incredible, unique way of collecting information from the cloud so that we can gather it in a very uh continuous way. So we're constantly seeing what's happening in addition to interrogating A PS and clouds are actually monitoring logs so we can see all the actions, what you just said. By the way, something comes and goes, we see it. The second thing which we do is we gather the information. We build a graph. This was actually, this was hard because it's not just as simple as sticking things in a graph with all of it to be. But what is the graph doing? The graph is basically understanding the intricacies of all the identity and access management models. I can see everything that can do anything to any other resource in the cloud, right? There is a surplus functioning container or a VM And we boil it down to very simple things. So underneath it's complex. We represented grass with boiling two simple things. Then we run analytics across the graph too, find and eliminate plaque from risk, find and eliminate identity risk. Get customers to the privilege enforced separation of duties, find data that you may not know is there that has incredible amounts of things capable of accessing it and help our customers lockdown that access. And then finally had we getting it into an operational automation kind of pipeline so that basically on an ongoing operational perspective it's efficient. So we're actually doing this for customers. We've got some very large financial institution customers. We've got, you know, large customers like World Fuel Services. And now actually our mission this year is to actually help simplify a lot of what we're describing so that, you know, you know, other companies and maybe companies not as sophisticated as a big financial institution or World Fuel Services is able to just very quickly get the value out of a solution. Like, >>you know, when you have these new technologies, new way of doing things, it's exciting at the same time, you have to kind of vector into an environment where the customer is ready to be operationalized. So, um, I got to ask you about how um teams are forming. I've I've been having a lot of conversation with VPs of engineering, large enterprises and and also big companies and hyper scale as well. And they're all talking about how, because of what you're doing and the kind of the general philosophy that you're you guys have is changing how teams are organized. You have a platform engineer now who can work on a platform and then flex and go work with other say feature engineers. And so it used to be just to do your features, You got your platform guys, you got your networking people. Okay, now you don't have to talk to the networking people because you can abstract away the network. You now have more composite, more compose herbal applications with all the observe ability. And now you can actually build that foundational platform. Redeploy the platform engineers with the other teams. So you seem like and then you got sRS embedded into teams and so you kind of got this new engineering formation going on, new kind of ways to organize the new modern era is here, it's on on this, this how people organize their teams. >>Actually is. There's no, there's no entire recipe at because you go to different customers and customers are basically experimenting with different ways to organize their teams. There's no question. But actually, I think one thing that's changed in the last 18 months is companies realizing we definitely need to change how it is. We've organized our team. I'm going to give you a simple example. Again in the old world, they would have network teams and network security teams you call up, Let me re configure the firewall. That doesn't work. It's just, it's just so broken. It can't work in clarity, can't be calling on people to re configure a firewall. That's an example. Another example which companies are realizing the latest identity. They will go through an approval process and they go through a governance and certification process. Well, these, these teams in the class, they want to get to work out in into, they need to get it in a month in an hour, in an hour. They can take a month and a manual approval processes sort of realizing that you need a skill set antiseptic ground rules and then the teams should be allowed to innovate within the ground rules. That's what the platform teams need to do. And so what we see emerging, which I think is a really best practice, is cloud centers of excellence. They're responsible for what I would call the shared infrastructure of the enterprise. The 250 Amazon accounts for 50 is your subscriptions, whatever it is that is king. Then the devoPS teams are using this shared infrastructure. The question is, how do you interface, how do you help coordinate between these different responsibilities from a security and governance and risk perspective? And that's actually what a big part of what our product is, helping teams coordinate their activities. That's a big part of what our product is, >>love. The first principles, they're sitting those ground rules. I mean there's been a chef and a cook, you know, you know, working with the environment and putting the new ingredients together and then getting that operational. It's a huge opportunity. Great stuff. Brandon. I gotta ask you the final question. Well I got you here, Sunrise Securities, the name Sunray. Where'd that come from? What does it mean? >>It actually means it's a Gaelic word and it means data and it's just so central to you know, what are people trying to steal? Like we can talk about security we're going to face. But at the end of the day they're trying to do damage. You're trying to get access to data. That's the most valuable thing we're trying to protect. So that's why we put it in our name. >>Digital transformation, everything's data now, everything's data, content, data Securities, data, data is everything >>it is. and I did >>great stuff. Brendan. Thank you for sharing the story here on the cube conversation, Brennan Hannigan's ceo of suddenly secure. Thanks for joining me. >>Thank you very much, john, it was a great pleasure. >>Okay. It's the cube from Palo alto California remote. Still. Thanks for watching.

>>from >>Around the globe. It's the cube with digital coverage of IBM think 2021 brought to you by IBM >>Well welcome everyone is the cube continues or IBM Thanks series. It's a pleasure to have you with us here on the cube. I'm john walls and we're joined today by brian loves who is the director of offering management for customer and employee care applications in the at IBM in the data and AI division. So brian, thanks for joining us from Ottawa Canada, good to see you today. >>Yeah, great to be here john I'm looking forward to the session today >>which by the way I've learned Ottawa is the home of the world's largest ice skating rink. I doubt we'll get into that today, but it is interesting food for thought. Uh so brian first off, let's just talk about um the Ai landscape right now. I know IBM obviously very heavily invested in that uh just in terms of how you see this currently as in terms of enterprise adoption, what people are doing with it and and just how you would talk about the state of the industry right now, >>you know, it's a really interesting one, right? I think if you look at it, you know different companies, different industries frankly are at different stages of their Ai journey, right? Um I think for me personally what was really interesting was, and we're all going through the pandemic right now, but last year with covid 19 in the March timeframe, it was really interesting to see the impact, frankly in the space that I played predominantly in around customer care, right? When the pandemic hit immediately call centers, contact centres got flooded with calls, right? And so it created a lot of problems for organizations. But it was interesting to me is it accelerated a lot of adoption of ai to organizations that typically lag and technology. Right? So if you think about public sector, right, that was one area that got hit very, very hard with questions and those types of things and trying to communicate and communicate out information. So it was really interesting to see those organizations frankly accelerate really, really quickly, right? And if you actually talk to those organizations now, I think one of the most interesting things to me and thinking about it and talking to them now is like, hey, you know, we can do this right, AI is really not that complicated, it can be simplified, we can take advantage of it and all of those types of things. Right? So I think for me, you know, I kind of see different industries that sort of different levels, but I think with Covid in particularly, you know, and frankly not just Covid, but even digital transformation alongside Covid is really driving a lot of ai in an accelerated manner. The other thing I'll kind of I'll kind of talk to a little bit here is I still think we're very much in the early innings of this, right, there is a tremendous opportunity innovating in the space and I think we all know that you know data is continually being created every single day and as more people become even more digitalized, there's more and more data being created. Like how do you start to harness that data more effectively, right in your business every day? And frankly I think we're just scratching scratching the surface on it and I think tremendous amount of opportunity as we move forward. >>Yeah, he really is really raised an interesting point which I hadn't thought about in terms of, we think about disruptors, we think about technology being a disrupter, right? But in this case it was purely really, largely environment that was driving this disruption, right, forcing people to to make these adoption moves and transitions maybe a little quicker than they expected. So because of that, because maybe somebody had to speed up their timetable for deployments and what have you what what kind of challenges have they run into them? Where because, as you describe it, it's not been the more organic kind of decision making that might be made, sometimes situation dictated it. So what have you seen in terms of challenges, barriers or just a little more complexity perhaps for some people who are just not getting into the space because of the environment you were talking about? >>I think a lot of this is like people don't know where to get started, right, a lot of the time or how ai can be applied. So a lot of this is going to be a bad education in terms of what it can and cannot do, and then it all depends on the use cases you're talking about, right? So if I think about, you know, building a machine learning models and those types of things right? You know, this set of challenges that people will typically face in these types of things are, you know, how do I collect all the data that I need to go build these models? Right? How do I organize that data? Um you know, how do I get the skill sets needed to ultimately, you know, take advantage of all that data to actually then apply to where I needed in my business? Right, So a lot of this is, you know, people need to understand, you know, those concepts are those pieces um to ultimately be successful with AI and you know what IBM is doing right here and I'll kind of this will be a key theme through this conversation today, is how do you sort of lower the time to value, to get there across that spectrum, but also, you know, frankly the skills >>required along the way as >>well, but a lot of it is like people don't know what they don't know at the end of the day. Mhm. >>Well, let me ask you about about your AI play then, a lot of people involved in this space, as you well know, you know, competitions pretty fierce and pretty widespread, there's a deep bench here um in terms of IBM know, what do you see is kind of your market different differentiator then, you know, what what do you think set you apart in terms of what you're offering in terms of AI deployments and solutions? >>No, that's a great question. I think it's a multifaceted answer, frankly. Um the first thing I'll kind of talk through a little bit right, is really around our platform and our our framework, right? We could refer to as our air ladder, um but it's really an integrated, you know, sort of cohesive platform for companies around the journey to AI, right? So kind of what I was mentioning earlier, right? If you think about, you know, AI is really about supplying the right data into A I. And then being able to infuse it to where you needed to go. Right? So to do that, you need a lot of the underlying information architecture to do that, Right? So you need the ability to collect the data, you need the ability to organize the data, you need the ability to to build out these models, right? Or analyze the data and then of course you need to be able to infuse that ai wherever you need it to be. Right. And so we have a really nice integrated platform that frankly can be deployed on any cloud. Right? So we got the flexibility that deployment model with that in greater platform. And you think about it? We also have built right, you know, sort of these industry leading Ai applications that sit on top of that platform and that underlying infrastructure. Right? So Watson assistant, Right. Our conversational AI, which we'll talk probably a little bit more on this conversation. Right, Watson discovery focus on, you know, intelligent document processing, right. AI search type applications. We've got these sort of market leading applications that sit on top, but there's also other things, right? Like we have a very, very strong research arm right, that continues to invest and funnel innovations into our product platform and into our product portfolio. Right? I think many people are aware of project debater, we took on some of the top debaters in the world, right? But research ultimately is very much tied, right? And even some of the teams that I work with on the ground, we've got them tied directly into the squads that build these products, Right? So we have this really big strong research arm that continues to bring innovation around AI and around other aspects into that product portfolio. But it's not just go ahead, >>Please go ahead. three. No, no. You know, I interrupted you. Go ahead. >>No, I was just gonna say that the other two things, I'll say it like, you know, I'm saying this right, but we've got a lot of sort of proof points and around it. Right? So, if you talk about the scale right? The number of customers, the number of case studies, a number of references across the board, right? In around AI AT IBM It is significant, Right? Um, and not only that, but we've got a lot of sort of, I'll say industry and third party industry recognition. Right? So think about most people are aware of sort of Gartner magic quadrants, right? And we're the leader almost across the board, Right? Or a leader across the board. So cloudy I developer service inside engines, machine learning go down the line. So, you know, if you don't trust me, there's certainly a lot of third party validation around that as well. That makes sense. >>Yeah, it sure does. You know, we're hearing a lot about conversational AI and, you know, with online chat bots and voice assistance and a myriad applications in that respect. Let's talk about conversational right now. Some people think it's little narrow, but, but yet there appears to be a pretty broad opportunity at the same time. So let's talk about that conversational AI um, uh, element um, to what you're talking about at IBM and how that is coming into play and, and perhaps is a pretty big growth sector in this space. >>Yeah, I think again, I talked about scratching the surface early innings. You'll see that theme a lot too. And I think this is another area around that. So listen, let's talk about the broader side. Let's first talk about where conversation always typically applied. Right? So you see it in customer service, that's the obvious place we're seeing the most appointments in. But if you think about, it's not just really around customer service, right? There's use cases around sales and marketing. If you think about, you know, lead qualification, for example, right? How can, you know, I'm on a website, how can I get information about a product or service? How can I automate some of that information collection, answering questions? How can I schedule console? All those things can be automated using great conversationally. I, the organizations don't want these sort of point solutions across the customer journey. What we're ultimately looking for is a single assistant to kind of, you know, front right, that particular customer. So what if I do come on from a legal perspective, but really I'm not here for legal. I'm actually a customer and I want to get a question answered, right? You don't want to have these awkward starts and stops with organizations, Right? So on the customer side where we see the conversation like, hey, I going and it's really kind of covering that full gambit in terms of that customer journey, right? And it's not just the customer journey, but you also want to be across channels, right? So you can imagine right now, not just, you know, the website and the chat on the website, but also right across their messaging channels, right across your phone. Right. And not just that, but you also want to be a really nice experience around, hey, maybe I'm on a phone call with some automation, but I need to be able to hand them off to a digital play. Right? Maybe that's easier to sign up for a particular offer or do some authentication or whatever might be, right. So to sort of be able to sort of switch between the channels, it's really, really going to become more important in this sort of sort of seamless experience as you just kind of go through it. Right? >>So you're coming by customers. Yeah. >>You talked about customers a little bit and you mentioned case studies, but can we get, I hope we can get into some specifics. You can give us some examples about people, companies with whom you've worked and and some success that you've had that respect. And I think maybe the usual suspects come to mind about finance. I might health care, but you said anybody with customer call issues, service centers, that kind of thing would certainly come into play. But can you give us an idea or some examples of deployments and how this is actually working today? >>Oh, absolutely. Right. So I think you kind of mentioned you become sort of industries that are relevant. Right? So, you know, the ones that I think are most relevant that we've seen are the ones with the biggest sort of consumer sort of side to it. Right? So clearly in financial services, banks, insurance, and clearly obvious ones telecommunications, retail, healthcare, these are all sort of big industries with a lot of sort of customers coming in. Right? So you'll see different use cases in those industries as well. Right. So the obvious one, we've got a really good client, Royal Bank of Scotland, they've now changed their name to natwest Open Scotland. Um So they started out with customer service. Right? So dealing with personal banking questions through their website, what's interesting and you'll see this with a lot of these use cases is they will start small, right with a single use case that they'll start to expand from there. So, for example, >>natwest right there, starting with they started with personal banking, but they're not expanding to other areas of the business across that customer journey. Right. So it's a great example of where we've seen it. Cardinal Health Right. We're not dealing with customers in terms of external customers but dealing with internal customers right from the help that standpoint. So it's not always external customers. Oftentimes frankly it can be employees. Right? So they are using it right through an I. V. R. System. Right? So through over the phone. Right. So I can call instead of getting that 1 800 number. I'm going to get a nice natural language experience over the phone to help employees with common problems that they have with their health does so. And they started really, really small, right? They started with simple things like password resets but that represented a tremendous amount of volume but ultimately headed their cost cost centers. So not West is a great example. C I B C. Another bank in Canada Toronto is a great example and the nice thing about what CNBC is doing and there are big, you know, we have four big banks here in Canada, what have you seen do is really focusing a lot on the transactional side. So making it really easy to do interact transfers or send money or over those types of things or check your balance or whatever it might be. So putting a nice simple interface on some of those common transactional things that you >>would do with the bank as well, >>you know, before I let you go, uh I'd like to hit this of buzz where we hear a lot of these days natural language processing. NLP Alright, so, so NLP define that in terms of how you see it and and how is it being applied today? Why why does NLP matter? And what kind of difference is it making? >>Wow, that's a loaded natural language processing. There's a loaded term in a buzzword. I completely agree. I mean listen, at the 50,000 ft level, natural language processing is really about understanding length, Right? So what do I mean by that? So let's use the simple conversational example. We just talked about if somebody is asking about, I'd like to reset my password right? You have to be able to understand what is the intent behind what that user is trying to do right there? Trying to reset a password, right? So being able to understand that inquiry that the user has that's coming in and being able to understand what the intent is behind it. >>That's sort of one, you know, aspect of natural language processing, right? What is the intent or the topic around that paragraph or whatever it might be. The other sort of key thing around natural language processing the importance, extracting certain things that you need to know. And again using the conversational ai side, just for a minute to give a simple example if I said you know what I need to reset my password, I know what the intent is. I want to reset a password but Right I don't know which password I'm trying to reset. Right? So this is where you have to be able to extract objects and we call them entities a lot of time in sort of the ice bake or lingo but you've got to be able to extract those elements. So you know I want to reset my A. T. M. Password. Great. Right so I know what they're trying to do but I also need to extract that it's the A. T. M. Password that I'm trying to do. So that's one sort of key angle of natural language processing and there's a lot of different techniques to be able to do those types of things. I'll also tell you though there's a lot around the content side of the fence as well, right? So you can imagine having a contract, right? And there are thousands of these contracts and some of your terms may change. How do you know, out of those thousands of contracts where the problems are, where I need to start looking, Right? So another sort of keep key area of natural language processing is looking at the content itself. Can I look at these contracts and automatically understand that this is an indemnity clause, Right? And this is an obligation, right? Or those types of things, right? And be able to sort of pick pick those things out so that I can help deal with those sort of contract processing things. That's sort of a second dimension. The third dimensional kind of kind of give around this is really around. You can think about extracting things like sentiment, right? So we talked about, you know, extracting objects and downs and those types of things. But maybe I want to know and analytics use case with customers. Um you know, what is the sentiment and you know, analyzing social media posts or whatever it might be. What's the sentiment that people have around my product or service? So naturally this process, if you think about it, the real high level is really about how do I understand language? But there's a variety of sort of ways to do that if that makes sense? >>Yeah, sure. And I think there's a lot of people out there saying, yeah, the sooner we can identify exasperation, the better off we're going to be right and handling the problems. But it's hard work but it's to make our lives easier and congratulations for your fine work in that space. And thanks for joining us here on the cube. We appreciate the time. Today, brian, >>thank very much. >>You bet BRian Levine is talking to us from IBM talking about conversational Ai and what it can do for you. I'm john Walsh, thanks for joining us here on the cube. Mhm. >>Mhm.

>>Okay. Okay. Now we're gonna go into the Green Lake Power Panel. Talk about the cloud landscape hybrid cloud and how the partner ecosystem and customers are thinking about cloud hybrid cloud as a service and, of course, Green Lake. And with me or CR Houdyshell, president of Advise X. Ron Nemecek, Who's the business Alliance manager at C B. T s. Harry Zaric is president of competition, and Benjamin Clay is VP of sales and alliances at Arrow Electronics. Great to see you guys. Thanks so much for coming on the Cube. >>Thanks for having us >>would be here. >>Okay, here's the deal. So I'm gonna ask you guys each to introduce yourselves and your company's add a little color to my brief intro and then answer the following question. How do you and your customers think about hybrid cloud and think about it in the context of where we are today and where we're going? Not just the snapshot, but where we are today and where we're going. CR, why don't you start, please? >>Sure. Thanks a lot. They appreciate it. And, uh, again cr Howdy Shell President of advising. I've been with the company for 18 years the last four years as president. So had the great great opportunity here to lead a 45 year old company with a very strong brand and great culture. Uh, as it relates to advise X and where we're headed to with hybrid Cloud is it's a journey, so we're excited to be leading that journey for the company as well as HP. We're very excited about where HP is going with Green Lake. We believe it's it's a very strong solution when it comes to hybrid. Cloud have been an HP partner since since 1980. So for 40 years it's our longest standing OM relationship, and we're really excited about where HP is going with Green Lake from a hybrid cloud perspective. Uh, we feel like we've been doing the hybrid cloud solutions in the past few years with everything that we've focused on from a VM Ware perspective. But now, with where HP is going, we think really changing the game and it really comes down to giving customers at cloud experience with the on Prem solution with Green Lake, and we've had great response from our customers and we think we're gonna continue to see how that kind of increased activity and reception. >>Great. Thank you. Cr and yeah, I totally agree. It is. It is a journey. And we've seen it really come a long way in the last decade. Ron, I wonder if you could kick off your little first intro there, please? >>Sure. Dave, thanks for having me today. And it's a pleasure being here with all of you. My name is Ron Nemecek, business Alliance manager at C B. T. S. In my role, I am responsible for RHP Green Lake relationship globally. I've enjoyed a 33 year career in the I T industry. I'm thankful for the opportunity to serve in multiple functional and senior leadership roles that have helped me gather a great deal of education and experience that could be used to aid our customers with their evolving needs for business outcomes. The best position them for sustainable and long term success. I'm honored to be part of the C B. T s and Annex Canada Organization, C B T s stands for consult Bill transform and support. We have a 35 year relationship with HP or a platinum and inner circle partner. We're headquartered in Cincinnati Ohio. We service 3000 customers, generating over a billion dollars in revenue, and we have over 2000 associates across the globe. Our focus is partnering with our customers to deliver innovative solutions and business results through thought leadership. We drive this innovation VR team of the best and brightest technology professionals in the industry that have secured over 2800 technical certifications 260 specifically with HP and in our hybrid cloud business. We have clearly found the technology new market demands for instant responses and experiences evolving economic considerations with detailed financial evaluation and, of course, the global pandemic have challenged each of our customers across all industries to develop an optimal cloud strategy we have. We now play an enhanced strategic role for our customers as there Technology Advisor and their guide to the right mix of cloud experiences that will maximize their organizational success with predictable outcomes. Our conversations have really moved from product roadmaps and speeds and feeds to return on investment, return on capital and financial statements, ratios and metrics. We collaborate regularly with our customers at all levels and all departments to find an effective, comprehensive cloud strategy for their workloads and applications, ensuring proper alignment and costs with financial return. >>Great. Thank you, Ron. Yeah, Today it's all about the business value. Harry, please, >>I Dave. Thanks for the opportunity and greetings from the Great White North, where Canadian based company headquartered in Toronto, with offices across the country. We've been in the tech industry for a very long time. What we would call a solution provider hard for my mother to understand what that means. But our goal is to help our customers realize the business value of their technology investments just to give you an example of what it is we try and do. We just finished a build out of a new networking and point in data center technology for a brand new hospital is now being mobilized for covid high risk patients. So talk about are all being an essential industry, providing essential services across the whole spectrum of technology. Now, in terms of what's happening in the marketplace, our customers are confused. No question about it. They hear about cloud and cloud first, and everyone goes to the cloud. But the reality is there's lots of technology, lots of applications that actually still have to run on premises for a whole bunch of reasons. And what customers want is solid senior serious advice as to how they leverage what they already have in terms of their existing infrastructure but modernized and updated So it looks and feels a lot like a cloud. But they have the security. They have the protection that they need to have for reasons that are dependent on their industry and business to allow them to run on from. And so the Green Lake philosophy is perfect. That allows customers to actually have 1 ft in the cloud, 1 ft in their traditional data center, but modernize it so it actually looks like one enterprise entity. And it's that kind of flexibility that gives us an opportunity collectively, ourselves, our partners, HP to really demonstrate that we understand how to optimize the use of technology across all of the business applications they need to rest >>your hair. It's interesting about what you said is is cloud is it is kind of chaotic. My word not yours, but but there is a lot of confusion out there. I mean, it's what's cloud right? Is it Public Cloud is a private cloud the hybrid cloud. Now, now it's the edge. And of course, the answer is all of the above. Ben, what's your perspective on all this? >>Um, from a cloud perspective. You know, I think as an industry, you know, I think we we've all accepted that public cloud is not necessarily gonna win the day and were, in fact, in a hybrid world, there's certainly been some some commentary impress. Um, you know, that would sort of validate that. Not that necessarily needs any validation. But I think it's the linkages between on Prem, Um, and cloud based services have increased. Its paved the way for customers to more effectively deploy hybrid solutions in the model that they want that they desired. You know, Harry was commenting on that a moment ago. Um, you know, as the trend continues, it becomes much easier for solution providers and service providers to drive there services, initiatives, uh, you know, in particular managed services. So, you know, from from an arrow perspective, as we think about how we can help scale in particular from Greenland perspective, we've got the ability to stand up some some cloud capabilities through our aero secure platform. um that can really help customers adopt Green Lake. Uh, and, uh, benefit to benefit from, um, some alliances, opportunities as well. And I'll talk more about that as we go through >>that. I didn't mean to squeeze you on a narrow. I mean, you got arrows. Been around longer than computers. I mean, if you google the history of arrow, it'll blow your mind. But give us a little, uh, quick commercial. >>Yeah, absolutely. So, um, I've been with arrow for about 20 years. I've got responsibility for alliances, organization, North America for Global value, added distribution, business consulting and channel enablement Company. Uh, you know, we bring scope, scale and and, uh, expertise as it relates to the I t industry. Um, you know, I love the fast paced, the fast paced that comes with the market, that we're all all in, and I love helping customers and suppliers both, you know, be positioned for long term success. And, you know, the subject matter here today is just a great example of that. So I'm happy to be here and or to the discussion. >>All right, We got some good brain power in the room. Let's let's cut right to the chase. Ron, Where's the pain? What are the main problems that C B. T s. I love the what it stands for. Consult Bill Transform and support the What's the main pain point that that customers are asking you to solve when it comes to their cloud strategies. >>Third day of our customers' concerns and associated risk come from the market demands to deliver their products, services and experiences instantaneously. And then the challenges is how do they meet those demands because they have aging infrastructure processes and fiscal constraints. Our customers really need us now more than ever to be excellent listeners so we can collaborate on an effective map for the strategic placement of workloads and applications in that spectrum of cloud experiences, while managing their costs and, of course, mitigating risk to their business. This collaboration with our customer customers often identify significant costs that have to be evaluated, justified or eliminated. We find significant development, migration and egress charges in their current public cloud experience, coupled with significant over provisioning, maintenance, operational and stranded asset costs in their on premise infrastructure environment. When we look at all these costs holistically through our customized workshops and assessments. We can identify the optimal cloud experience for the respective workloads and applications through our partnership with HP and the availability of the HP Green Lake Solutions. Our customers now have a choice to deliver SLA's economics and business outcomes for their workloads and applications that best reside on premise in a private cloud and have that experience. This is a rock solid solution that eliminates, you know, the development costs at the experience and the egress charges that are associated with the public cloud while utilizing HP Green Lake to eliminate over provisioning costs and the maintenance costs on aging infrastructure hardware. Lastly, our customers only have to pay for actual infrastructure usage with no upfront capital expense. And now that achieves true utilization to cost economics. You know, with HP Green Lake solution from C B. T s. >>I love to focus on the business case because it's measurable. That sort of follow the money. That's where it's where the opportunity is. Okay, See, I got a question for you thinking about advise X customers. How are they? Are they leaning into Green Lake? You know, what are they telling you? Is the business impact when they when they experience Green Lake, >>I think it goes back to what Ron was talking about. We have to solve the business challenges first, and so far the reception's been positive. When I say that is, customers are open, everybody wants to. The C suite wants to hear about cloud and hybrid cloud fits, but what we're hearing, what we're seeing from our customers is we're seeing more adoption from customers that it may be their first put in, if you will. But as importantly, we're able to share other customers with our potentially new clients that that say, What's the first thing that happens with regard to Green like Well, number one, it works. It works as advertised and as a as a service. That's a big step. There are a lot of people out there dabbling today, but when you can say we have a proven solution, it's working in in in our environment today. That's key. I think the second thing is is flexibility. You know, when customers are looking for this, this hybrid solution, you've got to be flexible for again. I think Ron said it well, you don't have a big capital outlay but also what customers want to be able to. We're gonna build for growth, but we don't want to pay for it, so we'll pay as we grow. Not as not as we have to use because we used to do It was upfront of the capital expenditure, and I will just pay as we grow and that really facilitates. In another great examples, you'll hear from a customer, uh, this afternoon, but you'll hear where one of the biggest benefits they just acquired a $570 million company, and their integration is going to be very seamless because of their investment in Green Lake. They're looking at the flexibility to add the Green Lake as a big opportunity to integrate for acquisitions and finally is really we see it really brings the cloud experience and as a service to our customers bring. And with HP Green Lake, it brings best to breathe. So it's not just what HP has to offer. When you look at hyper converged, they have Nutanix kohi city, so I really believe it brings best to breathe. So, uh to net it out and close it out with our customers thus far, the customer experience has been exceptional with Green Lake Central has interface. Customers have had a lot of success. We just had our first customer from about a year and a half ago, just re up, and it was a highly competitive situation. But they just said, Look, it's proven it works and it gives us that cloud experience So I had a lot of great success thus far, looking forward to more. >>Thank you. So, Harry, I want to pick up on something, CR said, And get your perspectives. So when you when I talk to the C suite, they do all want to hear about, you know, Cloud, they have a cloud agenda and and what they tell me is it's not just about their I t transformation. They want, they want that. But they also want to transform their business. So I wonder if you could talk Harry about competence, perspective on the potential business impact of Green Lake, and and also, you know, I'm interested in how you guys are thinking about workloads, how to manage work, you know how to cost optimize in i t. But also the business value that comes out of that capability. >>Yes. So, Dave, you know, if you were to talk to CFO and I have the good fortune to talk to lots of CFOs, they want to pay the cost. When they generate the revenue, they don't want to have all the cost up front and then wait for the revenue to come through. A good example of where that's happening right now is related to the pandemic. Employees that used to work at the office have now moved to working from home, and now they have to. They have to connect remotely to run the same application. So use this thing called VD virtual interfacing to allow them to connect to the applications that they need to run in the off. Don't want to get into too much detail. But to be able to support that from an at home environment, they needed to buy a lot more computing capacity to handle this. Now there's an expectation that hopefully six months from now, maybe sooner than that people will start returning to the office. They may not need that capacity so they can turn down on the cost. And so the idea of having the capacity available when you need it, But then turning it off when you don't need it is really a benefit of a variable cost model. Another example that I would use is one in new development if a customer is going to implement and you, let's say, line of business application essay P is very, very popular, you know, it actually, unfortunately takes six months to two years to actually get that application setup installed, validated, test it and then moves through production. You know what used to happen before they would buy all that capacity at front and basically sit there for two years? And then when they finally went to full production, then they were really getting value out of that investment. But they actually lost a couple of years of technology, literally sitting almost idle. And so, from a CFO perspective, his ability to support the development of those applications as he scales it perfect Green Lake is the ideal solution that allows them to do that. >>You know, technology has saved businesses in this pandemic. There's no question about it and what Harry was just talking about with regard to VD. You think about that. There's the dialing up and dialing down piece, which is awesome from an i t perspective and then the business impact. There is the productivity of Of of the end users, and most C suite executives I've talked to said Productivity actually went up during covid with work from home, which is kind of astounding if you think about it. Ben, you know Ben, I We said Arrow has been around for a long, long time, certainly before all of us were born and it's gone through many, many industry transitions during our lifetimes. How does arrow and how do How do your partners think about building cloud experience experiences? And where does Green Lake fit in from your perspective? >>A great question. So from a narrow perspective, when you think about cloud experience and, of course, us taking a view as a distribution partner, we want to be able to provide scale and efficiency to our network of partners. So we do that through our aero screw platform. Um, just just a bit of a you know, a bit of a commercial. I mean, you get single quote single bill auto provision compared multi supplier, if you will Subscription management utilization reporting from the platform itself. So if we pivot that directly to HP, you're going to get a bit of a scoop here, Dave. So we're excited today to have Green Lake live in our platform available for our part of community to consume in particular the swift solutions that HP has announced. So we're very excited to to share that today, Um, maybe a little bit more on Green Lake. I think at this point in time, there it's differentiated, Um, in a sense that if you think about some of the other offerings in the market today and further with, um uh, having the solutions himself available in a row sphere So, you know, I would say, Do we identify the uniqueness, um, and quickly partner with HP to to work with our atmosphere platform? One other sort of unique thing is, you know, when you think about platform itself, you've got to give a consistent experience the different geographies around the world. So, you know, we're available in north of 20 countries. There's thousands of resellers and transacting on the platform on a regular basis, and frankly, hundreds of thousands and customers are leveraging today, so that creates an opportunity for both Arrow HP and our partner community. So we're excited. >>Uh, you know, I just want to open it up and we don't have much time left, but thoughts on on on differentiation. You know, when people ask me Okay, what's really different about H P E and Green Lake? As others you know are doing things that with with as a service to me, it's a I I always say cultural. It starts from the top with Antonio, and it's like the company's all in. But But I wonder from your perspective because you guys are hands on. Are there other differential factors that you would point to let me just open that up to the group? >>Yeah, if I could make a comment. You know, Green Lake is really just the latest invocation of the as a service model. And what does that mean? What that actually means is you have a continuous ongoing relationship with the customer. It's not a cell. And forget not that we ever forget about customers, but there are highlights. Customer buys, it gets installed, and then for two or three years, you may have an occasional engagement with them. But it's not continuous. When you move to a Green Lake model, you're actually helping them manage that you are in the core in the heart of their business. No better place to be if you want to be sticky and you want to be relevant, and you want to be always there for them. >>You know, I wonder if somebody else could add to and and and in your in your remarks from your perspective as a partner because, you know, Hey, a lot of people made a lot of money selling boxes, but those days are pretty much gone. I mean, you have to transform into a services mindset. But other thoughts, >>I think I think Dad did that day. I think Harry's right on right. What he the way he positioned Exactly. You get on the customer. Even another step back for us is we're able to have the business conversation without leading with what you just said. You don't have to leave with a storage solution to leave with a compute. You can really have step back, have a business conversation, and we've done that where you don't even bring up hp Green Lake until you get to the point of the customer says, So you can give me an on prem cloud solution that gives me scalability, flexibility, all the things you're talking about. How does that work then? Then you bring up. It's all through this HP Green link tool. It really gives you the ability to have a business conversation. And you're solving the business problems versus trying to have a technology conversation. And to me, that's clear differentiation for HP. Green length. >>All right, guys. CR Ron. Harry. Ben. Great discussion. Thank you so much for coming on the program. Really appreciate it. >>Thanks for having us, Dave. >>All >>right. Keep it right there for more great content at Green Lake Day. Right back? Yeah.

>>from around the globe. It's the Cube presenting innovation for good, brought to you by on shape. >>Hello, everyone, and welcome to Innovation for Good Program, hosted by the Cuban. Brought to You by on Shape, which is a PTC company. My name is Dave Valentin. I'm coming to you from our studios outside of Boston. I'll be directing the conversations today. It's a very exciting, all live program. We're gonna look at how product innovation has evolved and where it's going and how engineers, entrepreneurs and educators are applying cutting edge, cutting edge product development techniques and technology to change our world. You know, the pandemic is, of course, profoundly impacted society and altered how individuals and organizations they're gonna be thinking about an approaching the coming decade. Leading technologists, engineers, product developers and educators have responded to the new challenges that we're facing from creating lifesaving products to helping students learn from home toe how to apply the latest product development techniques and solve the world's hardest problems. And in this program, you'll hear from some of the world's leading experts and practitioners on how product development and continuous innovation has evolved, how it's being applied toe positive positively affect society and importantly where it's going in the coming decades. So let's get started with our first session fueling Tech for good. And with me is John Hirschbeck, who is the president of the Suffers, a service division of PTC, which acquired on shape just over a year ago, where John was the CEO and co founder, and Dana Grayson is here. She is the co founder and general partner at Construct Capital, a new venture capital firm. Folks, welcome to the program. Thanks so much for coming on. >>Great to be here, Dave. >>All right, John. >>You're very welcome. Dana. Look, John, let's get into it for first Belated congratulations on the acquisition of Von Shape. That was an awesome seven year journey for your company. Tell our audience a little bit about the story of on shape, but take us back to Day zero. Why did you and your co founders start on shape? Well, >>actually, start before on shaping the You know, David, I've been in this business for almost 40 years. The business of building software tools for product developers and I had been part of some previous products in the industry and companies that had been in their era. Big changes in this market and about, you know, a little Before founding on shape, we started to see the problems product development teams were having with the traditional tools of that era years ago, and we saw the opportunity presented by Cloud Web and Mobile Technology. And we said, Hey, we could use Cloud Web and Mobile to solve the problems of product developers make their Their business is run better. But we have to build an entirely new system, an entirely new company, to do it. And that's what on shapes about. >>Well, so notwithstanding the challenges of co vid and difficulties this year, how is the first year been as, Ah, division of PTC for you guys? How's business? Anything you can share with us? >>Yeah, our first year of PTC has been awesome. It's been, you know, when you get acquired, Dave, you never You know, you have great optimism, but you never know what life will really be like. It's sort of like getting married or something, you know, until you're really doing it, you don't know. And so I'm happy to say that one year into our acquisition, um, PTC on shape is thriving. It's worked out better than I could have imagined a year ago. Along always, I mean sales are up. In Q four, our new sales rate grew 80% vs Excuse me, our fiscal Q four Q three. In the calendar year, it grew 80% compared to the year before. Our educational uses skyrocketing with around 400% growth, most recently year to year of students and teachers and co vid. And we've launched a major cloud platform using the core of on shape technology called Atlas. So, um, just tons of exciting things going on a TTC. >>That's awesome. But thank you for sharing some of those metrics. And of course, you're very humble individual. You know, people should know a little bit more about you mentioned, you know, we founded Solid Works, co founded Solid where I actually found it solid works. You had a great exit in the in the late nineties. But what I really appreciate is, you know, you're an entrepreneur. You've got a passion for the babies that you you helped birth. You stayed with the salt systems for a number of years. The company that quiet, solid works well over a decade. And and, of course, you and I have talked about how you participated in the the M I T. Blackjack team. You know, back in the day, a zai say you're very understated, for somebody was so accomplished. Well, >>that's kind of you, but I tend to I tend Thio always keep my eye more on what's ahead. You know what's next, then? And you know, I look back Sure to enjoy it and learn from it about what I can put to work making new memories, making new successes. >>Love it. Okay, let's bring Dana into the conversation. Hello, Dana. You look you're a fairly early investor in in on shape when you were with any A And and I think it was like it was a serious B, but it was very right close after the A raise. And and you were and still are a big believer in industrial transformation. So take us back. What did you see about on shape back then? That excited you. >>Thanks. Thanks for that. Yeah. I was lucky to be a early investment in shape. You know, the things that actually attracted me. Don shape were largely around John and, uh, the team. They're really setting out to do something, as John says humbly, something totally new, but really building off of their background was a large part of it. Um, but, you know, I was really intrigued by the design collaboration side of the product. Um, I would say that's frankly what originally attracted me to it. What kept me in the room, you know, in terms of the industrial world was seeing just if you start with collaboration around design what that does to the overall industrial product lifecycle accelerating manufacturing just, you know, modernizing all the manufacturing, just starting with design. So I'm really thankful to the on shape guys, because it was one of the first investments I've made that turned me on to the whole sector. And while just such a great pleasure to work with with John and the whole team there. Now see what they're doing inside PTC. >>And you just launched construct capital this year, right in the middle of a pandemic and which is awesome. I love it. And you're focused on early stage investing. Maybe tell us a little bit about construct capital. What your investment thesis is and you know, one of the big waves that you're hoping to ride. >>Sure, it construct it is literally lifting out of any what I was doing there. Um uh, for on shape, I went on to invest in companies such as desktop metal and Tulip, to name a couple of them form labs, another one in and around the manufacturing space. But our thesis that construct is broader than just, you know, manufacturing and industrial. It really incorporates all of what we'd call foundational industries that have let yet to be fully tech enabled or digitized. Manufacturing is a big piece of it. Supply chain, logistics, transportation of mobility or not, or other big pieces of it. And together they really drive, you know, half of the GDP in the US and have been very under invested. And frankly, they haven't attracted really great founders like they're on in droves. And I think that's going to change. We're seeing, um, entrepreneurs coming out of the tech world orthe Agnelli into these industries and then bringing them back into the tech world, which is which is something that needs to happen. So John and team were certainly early pioneers, and I think, you know, frankly, obviously, that voting with my feet that the next set, a really strong companies are going to come out of the space over the next decade. >>I think it's a huge opportunity to digitize the sort of traditionally non digital organizations. But Dana, you focused. I think it's it's accurate to say you're focused on even Mawr early stage investing now. And I want to understand why you feel it's important to be early. I mean, it's obviously riskier and reward e er, but what do you look for in companies and and founders like John >>Mhm, Um, you know, I think they're different styles of investing all the way up to public market investing. I've always been early stage investors, so I like to work with founders and teams when they're, you know, just starting out. Um, I happened to also think that we were just really early in the whole digital transformation of this world. You know, John and team have been, you know, back from solid works, etcetera around the space for a long time. But again, the downstream impact of what they're doing really changes the whole industry. And and so we're pretty early and in digitally transforming that market. Um, so that's another reason why I wanna invest early now, because I do really firmly believe that the next set of strong companies and strong returns for my own investors will be in the spaces. Um, you know, what I look for in Founders are people that really see the world in a different way. And, you know, sometimes some people think of founders or entrepreneurs is being very risk seeking. You know, if you asked John probably and another successful entrepreneurs, they would call themselves sort of risk averse, because by the time they start the company, they really have isolated all the risk out of it and think that they have given their expertise or what they're seeing their just so compelled to go change something, eh? So I look for that type of attitude experience a Z. You can also tell from John. He's fairly humble. So humility and just focus is also really important. Um, that there's a That's a lot of it. Frankly, >>Excellent. Thank you, John. You got such a rich history in the space. Uh, and one of you could sort of connect the dots over time. I mean, when you look back, what were the major forces that you saw in the market in in the early days? Particularly days of on shape on? And how is that evolved? And what are you seeing today? Well, >>I think I touched on it earlier. Actually, could I just reflect on what Dana said about risk taking for just a quick one and say, throughout my life, from blackjack to starting solid works on shape, it's about taking calculated risks. Yes, you try to eliminate the risk Sa's much as you can, but I always say, I don't mind taking a risk that I'm aware of, and I've calculated through as best I can. I don't like taking risks that I don't know I'm taking. That's right. You >>like to bet on >>sure things as much as you sure things, or at least where you feel you. You've done the research and you see them and you know they're there and you know, you, you you keep that in mind in the room, and I think that's great. And Dana did so much for us. Dana, I want to thank you again. For all that, you did it every step of the way, from where we started to to, you know, your journey with us ended formally but continues informally. Now back to you, Dave, I think, question about the opportunity and how it's shaped up. Well, I think I touched on it earlier when I said It's about helping product developers. You know, our customers of the people build the future off manufactured goods. Anything you think of that would be manufacturing factory. You know, the chair you're sitting in machine that made your coffee. You know, the computer you're using, the trucks that drive by on the street, all the covert product research, the equipment being used to make vaccines. All that stuff is designed by someone, and our job is given the tools to do it better. And I could see the problems that those product developers had that we're slowing them down with using the computing systems of the time. When we built solid works, that was almost 30 years ago. If people don't realize that it was in the early >>nineties and you know, we did the >>best we could for the early nineties, but what we did. We didn't anticipate the world of today. And so people were having problems with just installing the systems. Dave, you wouldn't believe how hard it is to install these systems. You need toe speck up a special windows computer, you know, and make sure you've got all the memory and graphics you need and getting to get that set up. You need to make sure the device drivers air, right, install a big piece of software. Ah, license key. I'm not making this up. They're still around. You may not even know what those are. You know, Dennis laughing because, you know, zero cool people do things like this anymore. Um, and it only runs some windows. You want a second user to use it? They need a copy. They need a code. Are they on the same version? It's a nightmare. The teams change, you know? You just say, Well, get everyone on the software. Well, who's everyone? You know, you got a new vendor today? A new customer tomorrow, a new employee. People come on and off the team. The other problem is the data stored in files, thousands of files. This isn't like a spreadsheet or word processor, where there's one file to pass around these air thousands of files to make one, even a simple product. People were tearing their hair out. John, what do we do? I've got copies everywhere. I don't know where the latest version is. We tried like, you know, locking people out so that only one person can change it At the time that works against speed, it works against innovation. We saw what was happening with Cloud Web and mobile. So what's happened in the years since is every one of the forces that product developers experience the need for speed, the need for innovation, the need to be more efficient with their people in their capital. Resource is every one of those trends have been amplified since we started on shape by a lot of forces in the world. And covert is amplified all those the need for agility and remote work cove it is amplified all that the same time, The acceptance of cloud. You know, a few years ago, people were like cloud, you know, how is that gonna work now They're saying to me, You know, increasingly, how would you ever even have done this without the cloud. How do you make solid works work without the cloud? How would that even happen? You know, once people understand what on shapes about >>and we're the >>Onley full SAS solution software >>as a service, >>full SAS solution in our industry. So what's happened in those years? Same problems we saw earlier, but turn up the gain, their bigger problems. And with cloud, we've seen skepticism of years ago turn into acceptance. And now even embracement in the cova driven new normal. >>Yeah. So a lot of friction in the previous environments cloud obviously a huge factor on, I guess. I guess Dana John could see it coming, you know, in the early days of solid works with, you know, had Salesforce, which is kind of the first major independent SAS player. Well, I guess that was late nineties. So his post solid works, but pre in shape and their work day was, you know, pre on shape in the mid two thousands. And and but But, you know, the bet was on the SAS model was right for Crick had and and product development, you know, which maybe the time wasn't a no brainer. Or maybe it was, I don't know, but Dana is there. Is there anything that you would invest in today? That's not Cloud based? >>Um, that's a great question. I mean, I think we still see things all the time in the manufacturing world that are not cloud based. I think you know, the closer you get to the shop floor in the production environment. Um e think John and the PTC folks would agree with this, too, but that it's, you know, there's reliability requirements, performance requirements. There's still this attitude of, you know, don't touch the printing press. So the cloud is still a little bit scary sometimes. And I think hybrid cloud is a real thing for those or on premise. Solutions, in some cases is still a real thing. What what we're more focused on. And, um, despite whether it's on premise or hybrid or or SAS and Cloud is a frictionless go to market model, um, in the companies we invest in so sass and cloud, or really make that easy to adopt for new users, you know, you sign up, started using a product, um, but whether it's hosted in the cloud, whether it's as you can still distribute buying power. And, um, I would I'm just encouraging customers in the customer world and the more industrial environment to entrust some of their lower level engineers with more budget discretionary spending so they can try more products and unlock innovation. >>Right? The unit economics are so compelling. So let's bring it, you know, toe today's you know, situation. John, you decided to exit about a year ago. You know? What did you see in PTC? Other than the obvious money? What was the strategic fit? >>Yeah, Well, David, I wanna be clear. I didn't exit anything. Really? You >>know, I love you and I don't like that term exit. I >>mean, Dana had exit is a shareholder on and so it's not It's not exit for me. It's just a step in the journey. What we saw in PTC was a partner. First of all, that shared our vision from the top down at PTC. Jim Hempleman, the CEO. He had a great vision for for the impact that SAS can make based on cloud technology and really is Dana of highlighted so much. It's not just the technology is how you go to market and the whole business being run and how you support and make the customers successful. So Jim shared a vision for the potential. And really, really, um said Hey, come join us and we can do this bigger, Better, faster. We expanded the vision really to include this Atlas platform for hosting other SAS applications. That P D. C. I mean, David Day arrived at PTC. I met the head of the academic program. He came over to me and I said, You know, and and how many people on your team? I thought he'd say 5 40 people on the PTC academic team. It was amazing to me because, you know, we were we were just near about 100 people were required are total company. We didn't even have a dedicated academic team and we had ah, lot of students signing up, you know, thousands and thousands. Well, now we have hundreds of thousands of students were approaching a million users and that shows you the power of this team that PTC had combined with our product and technology whom you get a big success for us and for the teachers and students to the world. We're giving them great tools. So so many good things were also putting some PTC technology from other parts of PTC back into on shape. One area, a little spoiler, little sneak peek. Working on taking generative design. Dana knows all about generative design. We couldn't acquire that technology were start up, you know, just to too much to do. But PTC owns one of the best in the business. This frustrated technology we're working on putting that into on shaping our customers. Um, will be happy to see it, hopefully in the coming year sometime. >>It's great to see that two way exchange. Now, you both know very well when you start a company, of course, a very exciting time. You know, a lot of baggage, you know, our customers pulling you in a lot of different directions and asking you for specials. You have this kind of clean slate, so to speak in it. I would think in many ways, John, despite you know, your install base, you have a bit of that dynamic occurring today especially, you know, driven by the forced march to digital transformation that cove it caused. So when you sit down with the team PTC and talk strategy. You now have more global resource is you got cohorts selling opportunities. What's the conversation like in terms of where you want to take the division? >>Well, Dave, you actually you sounds like we should have you coming in and talking about strategy because you've got the strategy down. I mean, we're doing everything said global expansion were able to reach across selling. We got some excellent PTC customers that we can reach reach now and they're finding uses for on shape. I think the plan is to, you know, just go, go, go and grow, grow, grow where we're looking for this year, priorities are expand the product. I mentioned the breath of the product with new things PTC did recently. Another technology that they acquired for on shape. We did an acquisition. It was it was small, wasn't widely announced. It, um, in an area related to interfacing with electrical cad systems. So So we're doing We're expanding the breath of on shape. We're going Maura, depth in the areas were already in. We have enormous opportunity to add more features and functions that's in the product. Go to market. You mentioned it global global presence. That's something we were a little light on a year ago. Now we have a team. Dana may not even know what we have. A non shape, dedicated team in Barcelona, based in Barcelona but throughout Europe were doing multiple languages. Um, the academic program just introduced a new product into that space that z even fueling more success and growth there. Um, and of course, continuing to to invest in customer success and this Atlas platform story I keep mentioning, we're going to soon have We're gonna soon have four other major PTC brands shipping products on our Atlas Saas platform. And so we're really excited about that. That's good for the other PTC products. It's also good for on shape because now there's there's. There's other interesting products that are on shape customers can use take advantage of very easily using, say, a common log in conventions about user experience there, used to invest of all they're SAS based, so they that makes it easier to begin with. So that's some of the exciting things going on. I think you'll see PTC, um, expanding our lead in SAS based applications for this sector for our our target, uh, sectors not just in, um, in cat and data management, but another area. PTC's Big and his augmented reality with of euphoria, product line leader and industrial uses of a R. That's a whole other story we should do. A whole nother show augmented reality. But these products are amazing. You can you can help factory workers people on, uh, people who are left out of the digital transformation. Sometimes we're standing from machine >>all day. >>They can't be sitting like we are doing Zoom. They can wear a R headset in our tools, let them create great content. This is an area Dana is invested in other companies. But what I wanted to note is the new releases of our authoring software. For this, our content getting released this month, used through the Atlas platform, the SAS components of on shape for things like revision management and collaboration on duh workflow activity. All that those are tools that we're able to share leverage. We get a lot of synergy. It's just really good. It's really fun to have a good time. That's >>awesome. And then we're gonna be talking to John MacLean later about that. Let's do a little deeper Dive on that. And, Dana, what is your involvement today with with on shape? But you're looking for you know, which of their customers air actually adopting. And they're gonna disrupt their industries. And you get good pipeline from that. How do you collaborate today? >>That sounds like a great idea. Um, Aziz, John will tell you I'm constantly just asking him for advice and impressions of other entrepreneurs and picking his brain on ideas. No formal relationship clearly, but continue to count John and and John and other people in on shaping in the circle of experts that I rely on for their opinions. >>All right, so we have some questions from the crowd here. Uh, one of the questions is for the dream team. You know, John and Dana. What's your next next collective venture? I don't think we're there yet, are we? No. >>I just say, as Dana said, we love talking to her about. You know, Dana, you just returned the compliment. We would try and give you advice and the deals you're looking at, and I'm sort of casually mentoring at least one of your portfolio entrepreneurs, and that's been a lot of fun for May on, hopefully a value to them. But also Dana. We uran important pipeline to us in the world of some new things that are happening that we wouldn't see if you know you've shown us some things that you've said. What do you think of this business? And for us, it's like, Wow, it's cool to see that's going on And that's what's supposed to work in an ecosystem like this. So we we deeply value the ongoing relationship. And no, we're not starting something new. I got a lot of work left to do with what I'm doing and really happy. But we can We can collaborate in this way on other ventures. >>I like this question to somebody asking With the cloud options like on shape, Wilmore students have stem opportunities s Oh, that's a great question. Are you because of sass and cloud? Are you able to reach? You know, more students? Much more cost effectively. >>Yeah, Dave, I'm so glad that that that I was asked about this because Yes, and it's extremely gratified us. Yes, we are because of cloud, because on shape is the only full cloud full SAS system or industry were able to reach. Stem education brings able to be part of bringing step education to students who couldn't get it otherwise. And one of most gratifying gratifying things to me is the emails were getting from teachers, um, that that really, um, on the phone calls that were they really pour their heart out and say We're able to get to students in areas that have very limited compute resource is that don't have an I T staff where they don't know what computer that the students can have at home, and they probably don't even have a computer. We're talking about being able to teach them on a phone to have an android phone a low end android phone. You can do three D modeling on there with on shape. Now you can't do it any other system, but with on shape, you could do it. And so the teacher can say to the students, They have to have Internet access, and I know there's a huge community that doesn't even have Internet access, and we're not able, unfortunately to help that. But if you have Internet and you have even an android phone, we can enable the educator to teach them. And so we have case after case of saving a stem program or expanding it into the students that need it most is the ones we're helping here. So really excited about that. And we're also able to let in addition to the run on run on whatever computing devices they have, we also offer them the tools they need for remote teaching with a much richer experience. Could you teach solid works remotely? Well, maybe if the student ran it had a windows workstation. You know, big, big, high end workstation. Maybe it could, but it would be like the difference between collaborating with on shape and collaborate with solid works. Like the difference between a zoom video call and talking on the landline phone. You know, it's a much richer experience, and that's what you need. And stem teaching stem is hard, So yeah, we're super super. Um, I'm excited about bringing stem to more students because of cloud yond >>we're talking about innovation for good, and then the discussion, John, you just had it. Really? There could be a whole another vector here. We could discuss on diversity, and I wanna end with just pointing out. So, Dana, your new firm, it's a woman led firm, too. Two women leaders, you know, going forward. So that's awesome to see, so really? Yeah, thumbs up on that. Congratulations on getting that off the ground. >>Thank you. Thank you. >>Okay, so thank you guys. Really appreciate It was a great discussion. I learned a lot and I'm sure the audience did a swell in a moment. We're gonna talk with on shaped customers to see how they're applying tech for good and some of the products that they're building. So keep it right there. I'm Dave Volonte. You're watching innovation for good on the Cube, the global leader in digital tech event coverage. Stay right there. >>Oh, yeah, it's >>yeah, yeah, around >>the globe. It's the Cube presenting innovation for good. Brought to you by on shape. >>Okay, we're back. This is Dave Volonte and you're watching innovation for good. A program on Cuba 3 65 made possible by on shape of PTC company. We're live today really live tv, which is the heritage of the Cube. And now we're gonna go to the sources and talkto on shape customers to find out how they're applying technology to create real world innovations that are changing the world. So let me introduce our panel members. Rafael Gomez Furberg is with the Chan Zuckerberg bio hub. A very big idea. And collaborative nonprofit was initiative that was funded by Mark Zuckerberg and his wife, Priscilla Chan, and really around diagnosing and curing and better managing infectious diseases. So really timely topic. Philip Tabor is also joining us. He's with silver side detectors, which develops neutron detective detection systems. Yet you want to know if early, if neutrons and radiation or in places where you don't want them, So this should be really interesting. And last but not least, Matthew Shields is with the Charlottesville schools and is gonna educate us on how he and his team are educating students in the use of modern engineering tools and techniques. Gentlemen, welcome to the Cuban to the program. This should be really interesting. Thanks for coming on. >>Hi. Or pleasure >>for having us. >>You're very welcome. Okay, let me ask each of you because you're all doing such interesting and compelling work. Let's start with Rafael. Tell us more about the bio hub and your role there, please. >>Okay. Yeah. So you said that I hope is a nonprofit research institution, um, funded by Mark Zuckerberg and his wife, Priscilla Chan. Um, and our main mission is to develop new technologies to help advance medicine and help, hopefully cure and manage diseases. Um, we also have very close collaborations with Universe California, San Francisco, Stanford University and the University California Berkeley on. We tried to bring those universities together, so they collaborate more of biomedical topics. And I manage a team of engineers. They by joining platform. Um, and we're tasked with creating instruments for the laboratory to help the scientist boats inside the organization and also in the partner universities Do their experiments in better ways in ways that they couldn't do before >>in this edition was launched Well, five years ago, >>it was announced at the end of 2016, and we actually started operation with at the beginning of 2017, which is when I joined, um, So this is our third year. >>And how's how's it going? How does it work? I mean, these things take time. >>It's been a fantastic experience. Uh, the organization works beautifully. Um, it was amazing to see it grow From the beginning, I was employee number 12, I think eso When I came in, it was just a nem P office building and empty labs. And very quickly we had something running about. It's amazing eso I'm very proud of the work that we have done to make that possible. Um And then, of course, that's you mentioned now with co vid, um, we've been able to do a lot of very cool work attire being of the pandemic in March, when there was a deficit of testing, uh, capacity in California, we spun up a testing laboratory in record time in about a week. It was crazy. It was a crazy project, Um, but but incredibly satisfying. And we ended up running all the way until the beginning of November, when the lab was finally shut down. We could process about 3000 samples a day. I think at the end of it all, we were able to test about 100 on the order of 100 and 50,000 samples from all over the state. We were providing free testing toe all of the Department of Public Health Department of Public Health in California, which at the media pandemic, had no way to do testing affordably and fast. So I think that was a great service to the state. Now the state has created that testing system that would serve those departments. So then we decided that it was unnecessary to keep going with testing in the other biopsy that would shut down. >>All right. Thank you for that. Now, Now, Philip, you What you do is mind melting. You basically helped keep the world safe. Maybe describe a little bit more about silver sod detectors and what your role is there and how it all works. >>Tour. So we make a nuclear bomb detectors and we also make water detectors. So we try and do our part thio keep the world from blowing up and make it a better place at the same time. Both of these applications use neutron radiation detectors. That's what we make. Put them out by import border crossing places like that. They can help make sure that people aren't smuggling. Shall we say very bad things. Um, there's also a burgeoning field of research and application where you can use neutrons with some pretty cool physics to find water so you could do things. Like what? A detector up in the mountains and measure snowpack. Put it out in the middle of the field and measure soil moisture content. And as you might imagine, there's some really cool applications in, uh, research and agronomy and public policy for this. >>All right, so it's OK, so it's a It's much more than, you know, whatever fighting terrorism, it's there's a riel edge or I kind of i o t application for what you guys >>do. We do both its's to plowshares. You might >>say a mat. I I look at your role is kind of scaling the brain power for for the future. Maybe tell us more about Charlottesville schools and in the mission that you're pursuing and what you do. >>Thank you. Um, I've been in Charlottesville City schools for about 11 or 12 years. I started their teaching, um, a handful of classes, math and science and things like that. But Thescore board and my administration had the crazy idea of starting an engineering program about seven years ago. My background is an engineering is an engineering. My masters is in mechanical and aerospace engineering and um, I basically spent a summer kind of coming up with what might be a fun engineering curriculum for our students. And it started with just me and 30 students about seven years ago, Um, kind of a home spun from scratch curriculum. One of my goals from the outset was to be a completely project based curriculum, and it's now grown. We probably have about six or 700 students, five or six full time teachers. We now have pre engineering going on at the 5th and 6th grade level. I now have students graduating. Uh, you know, graduating after senior year with, like, seven years of engineering under their belt and heading off to doing some pretty cool stuff. So it's It's been a lot of fun building a program and, um, and learning a lot in the process. >>That's awesome. I mean, you know, Cuba's. We've been passionate about things like women in tech, uh, diversity stem. You know, not only do we need more, more students and stem, we need mawr underrepresented women, minorities, etcetera. We were just talking to John Herstek and integrate gration about this is Do you do you feel is though you're I mean, first of all, the work that you do is awesome, but but I'll go one step further. Do you feel as though it's reaching, um, or diverse base? And how is that going? >>That's a great question. I think research shows that a lot of people get funneled into one kind of track or career path or set of interests really early on in their educational career, and sometimes that that funnel is kind of artificial. And so that's one of the reasons we keep pushing back. Um, so our school systems introducing kindergartners to programming on DSO We're trying to push back how we expose students to engineering and to stem fields as early as possible. And we've definitely seen the first of that in my program. In fact, my engineering program, uh, sprung out of an after school in Extracurricular Science Club that actually three girls started at our school. So I think that actually has helped that three girls started the club that eventually is what led to our engineering programs that sort of baked into the DNA and also our eyes a big public school. And we have about 50% of the students are under the poverty line and we e in Charlottesville, which is a big refugee town. And so I've been adamant from Day one that there are no barriers to entry into the program. There's no test you have to take. You don't have to have be taking a certain level of math or anything like that. That's been a lot of fun. To have a really diverse set of kids enter the program and be successful, >>that's final. That's great to hear. So, Philip, I wanna come back to you. You know, I think about maybe some day we'll be able to go back to a sporting events, and I know when I when I'm in there, there's somebody up on the roof looking out for me, you know, watching the crowd, and they have my back. And I think in many ways, the products that you build, you know, our similar. I may not know they're there, but they're keeping us safe or they're measuring things that that that I don't necessarily see. But I wonder if you could talk about a little bit more detail about the products you build and how they're impacting society. >>Sure, so There are certainly a lot of people who are who are watching, trying to make sure things were going well in keeping you safe that you may or may not be aware of. And we try and support ah lot of them. So we have detectors that are that are deployed in a variety of variety of uses, with a number of agencies and governments that dio like I was saying, ports and border crossing some other interesting applications that are looking for looking for signals that should not be there and working closely to fit into the operations these folks do. Onda. We also have a lot of outreach to researchers and scientists trying to help them support the work they're doing. Um, using neutron detection for soil moisture monitoring is a some really cool opportunities for doing it at large scale and with much less, um, expense or complication than would have been done. Previous technologies. Um, you know, they were talking about collaboration in the previous segment. We've been able to join a number of conferences for that, virtually including one that was supposed to be held in Boston, but another one that was held out of the University of Heidelberg in Germany. And, uh, this is sort of things that in some ways, the pandemic is pushing people towards greater collaboration than they would have been able to do. Had it all but in person. >>Yeah, we did. Uh, the cube did live works a couple years ago in Boston. It was awesome show. And I think, you know, with this whole trend toward digit, I call it the Force march to digital. Thanks to cove it I think that's just gonna continue. Thio grow. Rafael. What if you could describe the process that you use to better understand diseases? And what's your organization's involvement? Been in more detail, addressing the cove in pandemic. >>Um, so so we have the bio be structured in, Um um in a way that foster so the combination of technology and science. So we have to scientific tracks, one about infectious diseases and the other one about understanding just basic human biology, how the human body functions, and especially how the cells in the human body function on how they're organized to create tissues in the body. On Ben, it has this set of platforms. Um, mind is one of them by engineering that are all technology rated. So we have data science platform, all about data analysis, machine learning, things like that. Um, we have a mass spectrometry platform is all about mass spectrometry technologies to, um, exploit those ones in service for the scientist on. We have a genomics platform that it's all about sequencing DNA and are gonna, um and then an advanced microscopy. It's all about developing technologies, uh, to look at things with advanced microscopes and developed technologies to marry computation on microscopy. So, um, the scientists set the agenda and the platforms, we just serve their needs, support their needs, and hopefully develop technologies that help them do their experiments better, faster, or allow them to the experiment that they couldn't do in any other way before. Um And so with cove, it because we have that very strong group of scientists that work on have been working on infectious disease before, and especially in viruses, we've been able to very quickly pivot to working on that s O. For example, my team was able to build pretty quickly a machine to automatically purified proteins on is being used to purify all these different important proteins in the cove. It virus the SARS cov to virus Onda. We're sending some of those purified proteins all over the world. Two scientists that are researching the virus and trying to figure out how to develop vaccines, understand how the virus affects the body and all that. Um, so some of the machines we built are having a very direct impact on this. Um, Also for the copy testing lab, we were able to very quickly develop some very simple machines that allowed the lab to function sort of faster and more efficiently. Sort of had a little bit of automation in places where we couldn't find commercial machines that would do it. >>Um, eso Matt. I mean, you gotta be listening to this and thinking about Okay, So someday your students are gonna be working at organizations like like, like Bio Hub and Silver Side. And you know, a lot of young people they're just don't know about you guys, but like my kids, they're really passionate about changing the world. You know, there's way more important than you know, the financial angles and it z e. I gotta believe you're seeing that you're right in the front lines there. >>Really? Um, in fact, when I started the curriculum six or seven years ago, one of the first bits of feedback I got from my students is they said Okay, this is a lot of fun. So I had my students designing projects and programming microcontrollers raspberry, PiS and order we nose and things like that. The first bit of feedback I got from students was they said Okay, when do we get to impact the world? I've heard engineering >>is about >>making the world a better place, and robots are fun and all, but, you know, where is the real impact? And so um, dude, yeah, thanks to the guidance of my students, I'm baking that Maurin. Now I'm like day one of engineering one. We talk about how the things that the tools they're learning and the skills they're gaining, uh, eventually, you know, very soon could be could be used to make the world a better place. >>You know, we all probably heard that famous line by Jeff Hammer Barker. The greatest minds of my generation are trying to figure out how to get people to click on ads. I think we're really generally generationally, finally, at the point where young students and engineering a really, you know, a passionate about affecting society. I wanna get into the product, you know, side and understand how each of you are using on shape and and the value that that it brings. Maybe Raphael, you could start how long you've been using it. You know, what's your experience with it? Let's let's start there. >>I begin for about two years, and I switched to it with some trepidation. You know, I was used to always using the traditional product that you have to install on your computer, that everybody uses that. So I was kind of locked into that. But I started being very frustrated with the way it worked, um, and decided to give on ship chance. Which reputation? Because any change always, you know, causes anxiety. Um, but very quickly my engineers started loving it, Uh, just because it's it's first of all, the learning curve wasn't very difficult at all. You can transfer from one from the traditional product to entree very quickly and easily. You can learn all the concepts very, very fast. It has all the functionality that we needed and and what's best is that it allows to do things that we couldn't do before or we couldn't do easily. Now we can access the our cat documents from anywhere in the world. Um, so when we're in the lab fabricating something or testing a machine, any computer we have next to us or a tablet or on iPhone, we can pull it up and look at the cad and check things or make changes. That's something that couldn't do before because before you had to pay for every installation off the software for the computer, and I couldn't afford to have 20 installations to have some computers with the cat ready to use them like once every six months would have been very inefficient. So we love that part. And the collaboration features are fantastic, especially now with Kobe, that we have to have all the remote meetings eyes fantastic, that you can have another person drive the cad while the whole team is watching that person change the model and do things and point to things that is absolutely revolutionary. We love it. The fact that you have very, very sophisticated version control before it was always a challenge asking people, please, if you create anniversary and apart, how do we name it so that people find it? And then you end up with all these collection of files with names that nobody ever remembers, what they are, the person left. And now nobody knows which version is the right one. A mess with on shape on the version ING system it has, and the fact that you can go back in history off the document and go back to previous version so easily and then go back to the press and version and explore the history of the part that is truly, um, just world changing for us, that we can do that so easily on for me as a manager to manage this collection of information that is critical for our operations. It makes it so much easier because everything is in one place. I don't have to worry about file servers that go down that I have to administer that have to have I t taken care off that have to figure how to keep access to people to those servers when they're at home, and they need a virtual private network and all of that mess disappears. I just simply give give a person in accounting on shape and then magically, they have access to everything in the way I want. And we can manage the lower documents and everything in a way that is absolutely fantastic. >>Feel what was your what? What were some of the concerns you had mentioned? You had some trepidation. Was it a performance? Was it security? You know some of the traditional cloud stuff, and I'm curious as to how, How, whether any of those act manifested really that you had to manage. What were your concerns? >>Look, the main concern is how long is it going to take for everybody in the team to learn to use the system like it and buy into it? Because I don't want to have my engineers using tools against their will write. I want everybody to be happy because that's how they're productive. They're happy, and they enjoyed the tools they have. That was my main concern. I was a little bit worried about the whole concept of not having the files in a place where I couldn't quote unquote seat in some server and on site, but that That's kind of an outdated concept, right? So that took a little bit of a mind shift, but very quickly. Then I started thinking, Look, I have a lot of documents on Google Drive. Like, I don't worry about that. Why would I worry about my cat on on shape, right? Is the same thing. So I just needed to sort of put things in perspective that way. Um, the other, um, you know, the concern was the learning curve, right? Is like, how is he Will be for everybody to and for me to learn it on whether it had all of the features that we needed. And there were a few features that I actually discussed with, um uh, Cody at on shape on, they were actually awesome about using their scripting language in on shape to sort of mimic some of the features of the old cat, uh, in on, shaped in a way that actually works even better than the old system. So it was It was amazing. Yeah, >>Great. Thank you for that, Philip. What's your experience been? Maybe you could take us through your journey within shape. >>Sure. So we've been we've been using on shaped silver side for coming up on about four years now, and we love it. We're very happy with it. We have a very modular product line, so we make anything from detectors that would go into backpacks. Two vehicles, two very large things that a shipping container would go through and saw. Excuse me. Shape helps us to track and collaborate faster on the design. Have multiple people working a same time on a project. And it also helps us to figure out if somebody else comes to us and say, Hey, I want something new how we congrats modules from things that we already have put them together and then keep track of the design development and the different branches and ideas that we have, how they all fit together. A za design comes together, and it's just been fantastic from a mechanical engineering background. I will also say that having used a number of different systems and solid works was the greatest thing since sliced bread. Before I got using on shape, I went, Wow, this is amazing and I really don't want to design in any other platform. After after getting on Lee, a little bit familiar with it. >>You know, it's funny, right? I'll have the speed of technology progression. I was explaining to some young guns the other day how I used to have a daytime er and that was my life. And if I lost that daytime, er I was dead. And I don't know how we weigh existed without, you know, Google maps eso we get anywhere, I don't know, but, uh but so So, Matt, you know, it's interesting to think about, you know, some of the concerns that Raphael brought up, you hear? For instance, you know, all the time. Wow. You know, I get my Amazon bill at the end of the month that zip through the roof in, But the reality is that Yeah, well, maybe you are doing more, but you're doing things that you couldn't have done before. And I think about your experience in teaching and educating. I mean, you so much more limited in terms of the resource is that you would have had to be able to educate people. So what's your experience been with With on shape and what is it enabled? >>Um, yeah, it was actually talking before we went with on shape. We had a previous CAD program, and I was talking to my vendor about it, and he let me know that we were actually one of the biggest CAD shops in the state. Because if you think about it a really big program, you know, really big company might employ. 5, 10, 15, 20 cad guys, right? I mean, when I worked for a large defense contractor, I think there were probably 20 of us as the cad guys. I now have about 300 students doing cat. So there's probably more students with more hours of cat under their belt in my building than there were when I worked for the big defense contractor. Um, but like you mentioned, uh, probably our biggest hurdle is just re sources. And so we want We want one of things I've always prided myself and trying to do in this. Programs provide students with access two tools and skills that they're going to see either in college or in the real world. So it's one of the reason we went with a big professional cad program. There are, you know, sort of K 12 oriented software and programs and things. But, you know, I want my kids coding and python and using slack and using professional type of tools on DSO when it comes to cat. That's just that That was a really hurt. I mean, you know, you could spend $30,000 on one seat of, you know, professional level cad program, and then you need a $30,000 computer to run it on if you're doing a heavy assemblies, Um and so one of my dreams And it was always just a crazy dream. And I was the way I would always pitcher in my school system and say, someday I'm gonna have a kid on a school issued chromebook in subsidized housing, on public WiFi doing professional level bad and that that was a crazy statement until a couple of years ago. So we're really excited that I literally and you know, March and you said the forced march, the forced march into, you know, modernity, March 13th kids sitting in my engineering lab that we spent a lot of money on doing cad March 14th. Those kids were at home on their school issued chromebooks on public WiFi, uh, keeping their designs going and collaborating. And then, yeah, I could go on and on about some of the things you know, the features that we've learned since then they're even better. So it's not like this is some inferior, diminished version of Academy. There's so much about it. Well, I >>wanna I wanna ask you that I may be over my skis on this, but we're seeing we're starting to see the early days of the democratization of CAD and product design. It is the the citizen engineer, I mean, maybe insulting to the engineers in the room, But but is that we're beginning to see that >>I have to believe that everything moves into the cloud. Part of that is democratization that I don't need. I can whether you know, I think artists, you know, I could have a music studio in my basement with a nice enough software package. And Aiken, I could be a professional for now. My wife's a photographer. I'm not allowed to say that I could be a professional photographer with, you know, some cloud based software, and so, yeah, I do think that's part of what we're seeing is more and more technology is moving to the cloud. >>Philip. Rafael Anything you Dad, >>I think I mean, yeah, that that that combination of cloud based cat and then three d printing that is becoming more and more affordable on ubiquitous It's truly transformative, and I think for education is fantastic. I wish when I was a kid I had the opportunity to play with those kinds of things because I was always the late things. But, you know, the in a very primitive way. So, um, I think this is a dream for kids. Teoh be able to do this. And, um, yeah, there's so many other technologies coming on, like Arduino on all of these electronic things that live kids play at home very cheaply with things that back in my day would have been unthinkable. >>So we know there's a go ahead. Philip, please. >>We had a pandemic and silver site moved to a new manufacturing facility this year. I was just on the shop floor, talking with contractors, standing 6 ft apart, pointing at things. But through it all, our CAD system was completely unruffled. Nothing stopped in our development work. Nothing stopped in our support for existing systems in the field. We didn't have to think about it. We had other server issues, but none with our, you know, engineering cad, platform and product development in support world right ahead, which was cool, but also a in that's point. I think it's just really cool what you're doing with the kids. The most interesting secondary and college level engineering work that I did was project based, taken important problem to the world. Go solve it and that is what we do here. That is what my entire career has been. And I'm super excited to see. See what your students are going to be doing, uh, in there home classrooms on their chromebooks now and what they do building on that. >>Yeah, I'm super excited to see your kids coming out of college with engineering degrees because, yeah, I think that Project based experience is so much better than just sitting in a classroom, taking notes and doing math problems on day. I think it will give the kids a much better flavor. What engineering is really about Think a lot of kids get turned off by engineering because they think it's kind of dry because it's just about the math for some very abstract abstract concept on they are there. But I think the most important thing is just that hands on a building and the creativity off, making things that you can touch that you can see that you can see functioning. >>Great. So, you know, we all know the relentless pace of technology progression. So when you think about when you're sitting down with the folks that on shape and there the customer advisor for one of the things that that you want on shape to do that it doesn't do today >>I could start by saying, I just love some of the things that does do because it's such a modern platform. And I think some of these, uh, some some platforms that have a lot of legacy and a lot of history behind them. I think we're dragging some of that behind them. So it's cool to see a platform that seemed to be developed in the modern era, and so that Z it is the Google docks. And so the fact that collaboration and version ing and link sharing is and like platform agnostic abilities, the fact that that seems to be just built into the nature of the thing so far, That's super exciting. As far as things that, uh, to go from there, Um, I don't know, >>Other than price. >>You can't say >>I >>can't say lower price. >>Yeah, so far on P. D. C. S that work with us. Really? Well, so I'm not complaining. There you there, >>right? Yeah. Yeah. No gaps, guys. Whitespace, Come on. >>We've been really enjoying the three week update. Cadence. You know, there's a new version every three weeks and we don't have to install it. We just get all the latest and greatest goodies. One of the trends that we've been following and enjoying is the the help with a revision management and release work flows. Um, and I know that there's more than on shape is working on that we're very excited for, because that's a big important part about making real hardware and supporting it in the field. Something that was cool. They just integrated Cem markup capability. In the last release that took, we were doing that anyway, but we were doing it outside of on shapes. And now we get to streamline our workflow and put it in the CAD system where We're making those changes anyway when we're reviewing drawings and doing this kind of collaboration. And so I think from our perspective, we continue to look forward. Toa further progress on that. There's a lot of capability in the cloud that I think they're just kind of scratching the surface on you, >>right? I would. I mean, you're you're asking to knit. Pick. I would say one of the things that I would like to see is is faster regeneration speed. There are a few times with convicts, necessities that regenerating the document takes a little longer than I would like. It's not a serious issue, but anyway, I I'm being spoiled, >>you know? That's good. I've been doing this a long time, and I like toe ask that question of practitioners and to me, it It's a signal like when you're nit picking and that's what you're struggling to knit. Pick that to me is a sign of a successful product, and and I wonder, I don't know, uh, have the deep dive into the architecture. But are things like alternative processors. You're seeing them hit the market in a big way. Uh, you know, maybe helping address the challenge, But I'm gonna ask you the big, chewy question now. Then we maybe go to some audience questions when you think about the world's biggest problems. I mean, we're global pandemics, obviously top of mind. You think about nutrition, you know, feeding the global community. We've actually done a pretty good job of that. But it's not necessarily with the greatest nutrition, climate change, alternative energy, the economic divides. You've got geopolitical threats and social unrest. Health care is a continuing problem. What's your vision for changing the world and how product innovation for good and be applied to some of the the problems that that you all are passionate about? Big question. Who wants toe start? >>Not biased. But for years I've been saying that if you want to solve the economy, the environment, uh, global unrest, pandemics, education is the case. If you wanna. If you want to, um, make progress in those in those realms, I think funding funding education is probably gonna pay off pretty well. >>Absolutely. And I think Stam is key to that. I mean, all of the ah lot of the well being that we have today and then industrialized countries. Thanks to science and technology, right improvements in health care, improvements in communication, transportation, air conditioning. Um, every aspect of life is touched by science and technology. So I think having more kids studying and understanding that is absolutely key. Yeah, I agree, >>Philip, you got anything to add? >>I think there's some big technical problems in the world today, Raphael and ourselves there certainly working on a couple of them. Think they're also collaboration problems and getting everybody to be able to pull together instead of pulling separately and to be able to spur the ideas on words. So that's where I think the education side is really exciting. What Matt is doing and it just kind of collaboration in general when we could do provide tools to help people do good work. Uh, that is, I think, valuable. >>Yeah, I think that's a very good point. And along those lines, we have some projects that are about creating very low cost instruments for low research settings, places in Africa, Southeast Asia, South America, so that they can do, um, um, biomedical research that it's difficult to do in those place because they don't have the money to buy the fancy lab machines that cost $30,000 an hour. Um, so we're trying to sort of democratize some of those instruments. And I think thanks to tools like Kahn shape then is easier, for example, to have a conversation with somebody in Africa and show them the design that we have and discuss the details of it with them on. But it's amazing, right to have somebody, you know, 10 time zones away, Um, looking really life in real time with you about your design and discussing the details or teaching them how to build a machine, right? Because, um, you know, they have a three D printer. You can you can just give them the design and say like, you build it yourself, uh, even cheaper than and, you know, also billing and shipping it there. Um, so all that that that aspect of it is also super important. I think for any of these efforts to improve some of the hardest part was in the world for climate change. Do you say, as you say, poverty, nutrition issues? Um, you know, availability of water. You have that project at about finding water. Um, if we can also help deploy technologies that teach people remotely how to create their own technologies or how to build their own systems that will help them solve those forms locally. I think that's very powerful. >>Yeah, the point about education is right on. I think some people in the audience may be familiar with the work of Erik Brynjolfsson and Andrew McAfee, the second machine age where they sort of put forth the premise that, uh, is it laid it out. Look, for the first time in history, machines air replacing humans from a cognitive perspective. Machines have always replaced humans, but that's gonna have an impact on jobs. But the answer is not toe protect the past from the future. The answer is education and public policy that really supports that. So I couldn't agree more. I think it's a really great point. Um, we have We do have some questions from the audience. If if we could If I can ask you guys, um, you know, this one kind of stands out. How do you see artificial intelligence? I was just talking about machine intelligence. Um, how do you see that? Impacting the design space guys trying to infuse a I into your product development. Can you tell me? >>Um, absolutely, like, we're using AI for some things, including some of these very low cost instruments that will hopefully help us diagnose certain diseases, especially this is that are very prevalent in the Third World. Um, and some of those diagnostics are these days done by thes armies of technicians that are trained to look under the microscope. But, um, that's a very slow process. Is very error prone and having machine learning systems that can to the same diagnosis faster, cheaper and also little machines that can be taken to very remote places to these villages that have no access to a fancy microscope. To look at a sample from a patient that's very powerful. And I we don't do this, but I have read quite a bit about how certain places air using a Tribune attorneys to actually help them optimize designs for parts. So you get these very interesting looking parts that you would have never thought off a person would have never thought off, but that are incredibly light ink. Earlier, strong and I have all sort of properties that are interesting thanks to artificial intelligence machine learning in particular >>yet another. The advantage you get when when your work is in the cloud I've seen. I mean, there's just so many applications that so if the radiology scan is in the cloud and the radiologist is goes to bed at night, Radiologist could come in in the morning and and say, Oh, the machine while you were sleeping was using artificial intelligence to scan these 40,000 images. And here's the five that we picked out that we think you should take a closer look at. Or like Raphael said, I can design my part. My, my, my, my, my you know, mount or bracket or whatever and go to sleep. And then I wake up in the morning. The machine has improved. It for me has made it strider strider stronger and lighter. Um And so just when your when your work is in the cloud, that's just that's a really cool advantage that you get that you can have machines doing some of your design work for you. >>Yeah, we've been watching, uh, you know, this week is this month, I guess is AWS re invent and it's just amazing to see how much effort is coming around machine learning machine intelligence. You know Amazon has sage maker Google's got, you know, embedded you no ML and big query. Uh, certainly Microsoft with Azure is doing tons of stuff and machine learning. I think the point there is that that these things will be infused in tow R and D and in tow software product by the vendor community. And you all will apply that to your business and and build value through the unique data that your collecting, you know, in your ecosystems. And and that's how you add value. You don't have to be necessarily, you know, developers of artificial intelligence, but you have to be practitioners to apply that. Does that make sense to you, Philip? >>Yeah, absolutely. And I think your point about value is really well chosen. We see AI involved from the physics simulations all the way up to interpreting radiation data, and that's where the value question, I think, is really important because it's is the output of the AI giving helpful information that the people that need to be looking at it. So if it's curating a serious of radiation alert, saying, Hey, like these air the anomalies. You need to look at eyes it, doing that in a way that's going to help a good response on. In some cases, the II is only as good as the people. That sort of gave it a direction and turn it loose. And you want to make sure that you don't have biases or things like that underlying your AI that they're going to result in less than helpful outcomes coming from it. So we spend quite a lot of time thinking about how do we provide the right outcomes to people who are who are relying on our systems? >>That's a great point, right? Humans air biased and humans build models, so models are inherently biased. But then the software is hitting the market. That's gonna help us identify those biases and help us, you know? Of course. Correct. So we're entering Cem some very exciting times, guys. Great conversation. I can't thank you enough for spending the time with us and sharing with our audience the innovations that you're bringing to help the world. So thanks again. >>Thank you so much. >>Thank you. >>Okay. Welcome. Okay. When we come back, John McElheny is gonna join me. He's on shape. Co founder. And he's currently the VP of strategy at PTC. He's gonna join the program. We're gonna take a look at what's next and product innovation. I'm Dave Volonte and you're watching innovation for good on the Cube, the global leader. Digital technology event coverage. We'll be right back. >>Okay? Okay. Yeah. Okay. >>From around >>the globe, it's the Cube. Presenting innovation for good. Brought to you by on shape. >>Okay, welcome back to innovation. For good. With me is John McElheny, who is one of the co founders of On Shape and is now the VP of strategy at PTC. John, it's good to see you. Thanks for making the time to come on the program. Thanks, Dave. So we heard earlier some of the accomplishments that you've made since the acquisition. How has the acquisition affected your strategy? Maybe you could talk about what resource is PTC brought to the table that allowed you toe sort of rethink or evolve your strategy? What can you share with us? >>Sure. You know, a year ago, when when John and myself met with Jim Pepperman early on is we're we're pondering. Started joining PTC one of things became very clear is that we had a very clear shared vision about how we could take the on shape platform and really extended for, for all of the PTC products, particular sort of their augmented reality as well as their their thing works or the i o. T business and their product. And so from the very beginning there was a clear strategy about taking on shape, extending the platform and really investing, um, pretty significantly in the product development as well as go to market side of things, uh, toe to bring on shape out to not only the PTC based but sort of the broader community at large. So So So PTC has been a terrific, terrific, um, sort of partner as we've we've gonna go on after this market together. Eso We've added a lot of resource and product development side of things. Ah, lot of resource and they go to market and customer success and support. So, really, on many fronts, that's been both. Resource is as well a sort of support at the corporate level from from a strategic standpoint and then in the field, we've had wonderful interactions with many large enterprise customers as well as the PTC channels. So it's been really a great a great year. >>Well, and you think about the challenges of in your business going to SAS, which you guys, you know, took on that journey. You know, 78 years ago. Uh, it's not trivial for a lot of companies to make that transition, especially a company that's been around as long as PTC. So So I'm wondering how much you know, I was just asking you How about what PCP TC brought to the table? E gotta believe you're bringing a lot to the table to in terms of the mindset, uh, even things is, is mundane is not the right word, but things like how you compensate salespeople, how you interact with customers, the notion of a service versus a product. I wonder if you could address >>that. Yeah, it's a it's a really great point. In fact, after we had met Jim last year, John and I one of the things we walked out in the seaport area in Boston, one of things we sort of said is, you know, Jim really gets what we're trying to do here and and part of let me bring you into the thinking early on. Part of what Jim talked about is there's lots of, you know, installed base sort of software that's inside of PTC base. That's helped literally thousands of customers around the world. But the idea of moving to sass and all that it entails both from a technology standpoint but also a cultural standpoint. Like How do you not not just compensate the sales people as an example? But how do you think about customer success? In the past, it might have been that you had professional services that you bring out to a customer, help them deploy your solutions. Well, when you're thinking about a SAS based offering, it's really critical that you get customers successful with it. Otherwise, you may have turned, and you know it will be very expensive in terms of your business long term. So you've got to get customers success with software in the very beginning. So you know, Jim really looked at on shape and he said that John and I, from a cultural standpoint, you know, a lot of times companies get acquired and they've acquired technology in the past that they integrate directly into into PTC and then sort of roll it out through their products, are there just reached channel, he said. In some respects, John John, think about it as we're gonna take PTC and we want to integrate it into on shape because we want you to share with us both on the sales side and customer success on marketing on operations. You know all the things because long term, we believe the world is a SAS world, that the whole industry is gonna move too. So really, it was sort of an inverse in terms of the thought process related to normal transactions >>on That makes a lot of sense to me. You mentioned Sharon turns the silent killer of a SAS company, and you know, there's a lot of discussion, you know, in the entrepreneurial community because you live this, you know what's the best path? I mean today, You see, you know, if you watch Silicon Valley double, double, triple triple, but but there's a lot of people who believe, and I wonder, if you come in there is the best path to, you know, in the X Y axis. If if it's if it's uh, growth on one and retention on the other axis. What's the best way to get to the upper right on? Really? The the best path is probably make sure you've nailed obviously the product market fit, But make sure that you can retain customers and then throw gas on the fire. You see a lot of companies they burn out trying to grow too fast, but they haven't figured out, you know that. But there's too much churn. They haven't figured out those metrics. I mean, obviously on shape. You know, you were sort of a pioneer in here. I gotta believe you've figured out that customer retention before you really, You know, put the pedal to the >>metal. Yeah, and you know, growth growth can mask a lot of things, but getting getting customers, especially the engineering space. Nobody goes and sits there and says, Tomorrow we're gonna go and and, you know, put 100 users on this and and immediately swap out all of our existing tools. These tools are very rich and deep in terms of capability, and they become part of the operational process of how a company designs and builds products. So any time anybody is actually going through the purchasing process. Typically, they will run a try along or they'll run a project where they look at. Kind of What? What is this new solution gonna help them dio. How are we gonna orient ourselves for success? Longer term. So for us, you know, getting new customers and customer acquisition is really critical. But getting those customers to actually deploy the solution to be successful with it. You know, we like to sort of, say, the marketing or the lead generation and even some of the initial sales. That's sort of like the Kindle ing. But the fire really starts when customers deploy it and get successful. The solution because they bring other customers into the fold. And then, of course, if they're successful with it, you know, then in fact, you have negative turn which, ironically, means growth in terms of your inside of your install. Bates. >>Right? And you've seen that with some of the emerging, you know, SAS companies, where you're you're actually you know, when you calculate whatever its net retention or renew ALS, it's actually from a dollar standpoint. It's up in the high nineties or even over 100%. >>So >>and that's a trend we're gonna continue. See, I >>wonder >>if we could sort of go back. Uh, and when you guys were starting on shape, some of the things that you saw that you were trying to strategically leverage and what's changed, you know, today we were talking. I was talking to John earlier about in a way, you kinda you kinda got a blank slate is like doing another startup. >>You're >>not. Obviously you've got installed base and customers to service, but But it's a new beginning for you guys. So one of the things that you saw then you know, cloud and and sas and okay, but that's we've been there, done that. What are you seeing? You know today? >>Well, you know, So So this is a journey, of course, that that on shape on its own has gone through it had I'll sort of say, you know, several iterations, both in terms of of of, you know, how do you How do you get customers? How do you How do you get them successful? How do you grow those customers? And now that we've been part of PTC, the question becomes okay. One, There is certainly a higher level of credibility that helps us in terms of our our megaphone is much bigger than it was when we're standalone company. But on top of that now, figuring out how to work with their channel with their direct sales force, you know, they have, um, for example, you know, very large enterprises. Well, many of those customers are not gonna go in forklift out their existing solution to replace it with with on shape. However, many of them do have challenges in their supply chain and communications with contractors and vendors across the globe. And so, you know, finding our fit inside of those large enterprises as they extend out with their their customers is a very interesting area that we've really been sort of incremental to to PTC. And then, you know, they they have access to lots of other technology, like the i o. T business. And now, of course, the augmented reality business that that we can bring things to bear. For example, in the augmented reality world, they've they've got something called expert capture. And this is essentially imagine, you know, in a are ah, headset that allows you to be ableto to speak to it, but also capture images still images in video. And you could take somebody who's doing their task and capture literally the steps that they're taking its geo location and from their builds steps for new employees to be, we'll learn and understand how todo use that technology to help them do their job better. Well, when they do that, if there is replacement products or variation of of some of the tools that that they built the original design instruction set for they now have another version. Well, they have to manage multiple versions. Well, that's what on shape is really great at doing and so taking our technology and helping their solutions as well. So it's not only expanding our customer footprint, it's expanding the application footprint in terms of how we can help them and help customers. >>So that leads me to the tam discussion and again, as part of your strategist role. How do you think about that? Was just talking to some of your customers earlier about the democratization of cat and engineering? You know, I kind of joked, sort of like citizen engineering, but but so that you know, the demographics are changing the number of users potentially that can access the products because the it's so much more of a facile experience. How are you thinking about the total available market? >>It really is a great question, You know, it used to be when you when you sold boxes of software, it was how many engineers were out there. And that's the size of the market. The fact that matter is now when, When you think about access to that information, that data is simply a pane of glass. Whether it's a computer, whether it's a laptop, UH, a a cell phone or whether it's a tablet, the ability to to use different vehicles, access information and data expands the capabilities and power of a system to allow feedback and iteration. I mean, one of the one of the very interesting things is in technology is when you can take something and really unleash it to a larger audience and builds, you know, purpose built applications. You can start to iterate, get better feedback. You know there's a classic case in the clothing industry where Zara, you know, is a fast sort of turnaround. Agile manufacturer. And there was a great New York Times article written a couple years ago. My wife's a fan of Zara, and I think she justifies any purchases by saying, You know, Zara, you gotta purchase it now. Otherwise it may not be there the next time. Yet you go back to the store. They had some people in a store in New York that had this woman's throw kind of covering Shaw. And they said, Well, it would be great if we could have this little clip here so we can hook it through or something. And they sent a note back toe to the factory in Spain, and literally two weeks later they had, you know, 4000 of these things in store, and they sold out because they had a closed loop and iterative process. And so if we could take information and allow people access in multiple ways through different devices and different screens, that could be very specific information that, you know, we remove a lot of the engineering data book, bring the end user products conceptually to somebody that would have had to wait months to get the actual physical prototype, and we could get feedback well, Weaken have a better chance of making sure whatever product we're building is the right product when it ultimately gets delivered to a customer. So it's really it's a much larger market that has to be thought of rather than just the kind of selling A boxes software to an engineer. >>That's a great story. And again, it's gonna be exciting for you guys to see that with. The added resource is that you have a PTC, Um, so let's talk. I promise people we wanna talk about Atlas. Let's talk about the platform. A little bit of Atlas was announced last year. Atlas. For those who don't know it's a SAS space platform, it purports to go beyond product lifecycle management and you You're talking cloud like agility and scale to CAD and product design. But John, you could do a better job than I. What do >>we need to know about Atlas? Well, I think Atlas is a great description because it really is metaphorically sort of holding up all of the PTC applications themselves. But from the very beginning, when John and I met with Jim, part of what we were intrigued about was that he shared a vision that on shape was more than just going to be a cad authoring tool that, in fact, you know, in the past these engineering tools were very powerful, but they were very narrow in their purpose and focus. And we had specialty applications to manage the versions, etcetera. What we did in on shape is we kind of inverted that thinking. We built this collaboration and sharing engine at the core and then kind of wrap the CAD system around it. But that collaboration sharing and version ING engine is really powerful. And it was that vision that Jim had that he shared that we had from the beginning, which was, how do we take this thing to make a platform that could be used for many other applications inside of inside of any company? And so not only do we have a partner application area that is is much like the APP store or Google play store. Uh, that was sort of our first Stan Shih ation of this. This this platform. But now we're extending out to broader applications and much meatier applications. And internally, that's the thing works in the in the augmented reality. But there'll be other applications that ultimately find its way on top of this platform. And so they'll get all the benefits of of the collaboration, sharing the version ing the multi platform, multi device. And that's an extremely extremely, um, strategic leverage point for the company. >>You know, it's interesting, John, you mentioned the seaport before. So PTC, for those who don't know, built a beautiful facility down at the Seaport in Boston. And, of course, when PTC started, you know, back in the mid 19 eighties, there was nothing at the seaport s. >>So it's >>kind of kind of ironic, you know, we were way seeing the transformation of the seaport. We're seeing the transformation of industry and of course, PTC. And I'm sure someday you'll get back into that beautiful office, you know? Wait. Yeah, I'll bet. And, uh and but I wanna bring this up because I want I want you to talk about the future. How you how you see that our industry and you've observed this has moved from very product centric, uh, plat platform centric with sass and cloud. And now we're seeing ecosystems form around those products and platforms and data flowing through the ecosystem powering, you know, new innovation. I wonder if you could paint a picture for us of what the future looks like to you from your vantage point. >>Yeah, I think one of the key words you said there is data because up until now, data for companies really was sort of trapped in different applications. And it wasn't because people were nefarious and they want to keep it limited. It was just the way in which things were built. And, you know, when people use an application like on shape, what ends up happening is there their day to day interaction and everything that they do is actually captured by the platform. And, you know, we don't have access to that data. Of course it's it's the customer's data. But as as an artifact of them using the system than doing their day to day job, what's happening is they're creating huge amounts of information that can then be accessed and analyzed to help them both improve their design process, improve their efficiencies, improve their actual schedules in terms of making sure they can hit delivery times and be able to understand where there might be roadblocks in the future. So the way I see it is companies now are deploying SAS based tools like on shape and an artifact of them. Using that platform is that they have now analytics and tools to better understand and an instrument and manage their business. And then from there, I think you're going to see, because these systems are all you know extremely well. Architected allow through, you know, very structured AP. I calls to connect other SAS based applications. You're gonna start seeing closed loop sort of system. So, for example, people design using on shape, they end up going and deploying their system or installing it, or people use the end using products. People then may call back into the customers support line and report issues, problems, challenges. They'll be able to do traceability back to the underlying design. They'll be able to do trend analysis and defect analysis from the support lines and tie it back and closed loop the product design, manufacture, deployment in the field sort of cycles. In addition, you can imagine there's many things that air sort of as designed. But then when people go on site and they have to install it. There's some alterations modifications. Think about think about like a large air conditioning units for buildings. You go and you go to train and you get a large air conditioning unit that put up on top of building with a crane. They have to build all kinds of adaptors to make sure that that will fit inside of the particulars of that building. You know, with on shape and tools like this, you'll be able to not only take the design of what the air conditioning system might be, but also the all the adapter plates, but also how they installed it. So it sort of as designed as manufactured as stalled. And all these things can be traced, just like if you think about the transformation of customer service or customer contacts. In the early days, you used to have tools that were PC based tools called contact management solution, you know, kind of act or gold mine. And these were basically glorified Elektronik role in Texas. It had a customer names and they had phone numbers and whatever else. And Salesforce and Siebel, you know, these types of systems really broadened out the perspective of what a customer relationship? Waas. So it wasn't just the contact information it was, you know, How did they come to find out about you as a company? So all of the pre sort of marketing and then kind of what happens after they become a customer and it really was a 3 60 view. I think that 3 60 view gets extended to not just to the customers, but also tools and the products they use. And then, of course, the performance information that could come back to the manufacturer. So, you know, as an engineer, one of the things you learn about with systems is the following. And if you remember, when the CD first came out CDs that used to talk about four times over sampling or eight times over sampling and it was really kind of, you know, the fidelity the system. And we know from systems theory that the best way to improve the performance of a system is to actually have more feedback. The more feedback you have, the better system could be. And so that's why you get 16 60 for example, etcetera. Same thing here. The more feedback we have of different parts of a company that a better performance, The company will be better customer relationships. Better, uh, overall financial performance as well. So that's that's the view I have of how these systems all tied together. >>It's a great vision in your point about the data is I think right on. It used to be so fragmented in silos, and in order to take a system view, you've gotta have a system view of the data. Now, for years, we've optimized maybe on one little component of the system and that sometimes we lose sight of the overall outcome. And so what you just described, I think is, I think sets up. You know very well as we exit. Hopefully soon we exit this this covert era on John. I hope that you and I can sit down face to face at a PTC on shape event in the near term >>in the seaport in the >>seaport would tell you that great facility toe have have an event for sure. It >>z wonderful >>there. So So John McElhinney. Thanks so much for for participating in the program. It was really great to have you on, >>right? Thanks, Dave. >>Okay. And I want to thank everyone for participating. Today we have some great guest speakers. And remember, this is a live program. So give us a little bit of time. We're gonna flip this site over toe on demand mode so you can share it with your colleagues and you, or you can come back and and watch the sessions that you heard today. Uh, this is Dave Volonte for the Cube and on shape PTC. Thank you so much for watching innovation for good. Be well, Have a great holiday. And we'll see you next time. Yeah.

>>from around the globe. It's the Cube presenting innovation for good. Brought to you by on shape. >>Okay, we're back. This is Dave Volonte and you're watching innovation for good. A program on Cuba 3 65 made possible by on shape of BTC company. We're live today really live TV, which is the heritage of the Cuban. Now we're gonna go to the sources and talkto on shape customers to find out how they're applying technology to create real world innovations that are changing the world. So let me introduce our panel members. Rafael Gomez Fribourg is with the Chan Zuckerberg bio hub. A very big idea. And collaborative nonprofit was initiative that was funded by Mark Zuckerberg and his wife, Priscilla Chan, and really around diagnosing and curing and better managing infectious diseases. So really timely topic. Philip Tabor is also joining us. He's with silver side detectors which develops neutron detective detection systems. Yet you want to know if early if neutrons and radiation or in places where you don't want them, so this should be really interesting. And last but not least, Matthew Shields is with the Charlottesville schools and is gonna educate us on how he and his team are educating students in the use of modern engineering tools and techniques. Gentlemen, welcome to the Cuban to the program. This should be really interesting. Thanks for coming on. >>Hi. Or pleasure >>for having us. >>You're very welcome. Okay, let me ask each of you because you're all doing such interesting and compelling work. Let's start with Rafael. Tell us more about the bio hub and your role there, please. >>Okay. Yes. As you said, the Bio Hope is a nonprofit research institution, um, funded by Mark Zuckerberg and his wife, Priscilla Chan. Um and our main mission is to develop new technologies to help advance medicine and help, hopefully cure and manage diseases. Um, we also have very close collaborations with Universe California, San Francisco, Stanford University and the University California Berkeley on. We tried to bring those universities together, so they collaborate more of biomedical topics. And I manage a team of engineers in by joining platform. Um, and we're tasked with creating instruments for the laboratory to help the scientist boats inside the organization and also in the partner universities do their experiments in better ways in ways that they couldn't do before >>in this edition was launched five years ago. It >>was announced at the end of 2016, and we actually started operations in the beginning of 2017, which is when I joined um, so this is our third year. >>And how's how's it going? How does it work? I mean, these things >>take time. It's been a fantastic experience. Uh, the organization works beautifully. Um, it was amazing to see it grow from the beginning. I was employee number 12, I think eso When I came in, it was just a nem p off his building and MP labs. And very quickly we had something running about from anything. Eso I'm very proud of the work that we have done to make that possible. Um And then, of course, that's you mentioned now, with co vid, um, we've been able to do a lot of very cool work, um, very being of the pandemic In March, when there was a deficit of testing, uh, capacity in California, we spun up a testing laboratory in record time in about a week. It was crazy. It was a crazy project. Um, but but incredibly satisfying. And we ended up running all the way until the beginning of November, when the lab was finally shut down, we could process about 3000 samples a day. I think at the end of it all, we were able to test about 100 on the road, 150,000 samples from all over the state. We were providing free testing toe all of the Department of Public Health Department of Public Health in California, which, at the media pandemic, had no way to do testing affordably and fast. So I think that was a great service to the state. Now the state has created a testing system that will serve those departments. So then we decided that it was unnecessary to keep going with testing in the other biopsy that would shut down, >>right? Thank you for that. Now, Now, Philip, you What you do is mind melting. You basically helped keep the world safe. Maybe you describe a little bit more about silver side detectors and what your role is there and how it all works. >>Tour. So we make a nuclear bomb detectors and we also make water detectors. So we try and do our part. Thio Keep the world from blowing up and make it a better place at the same time. Both of these applications use neutron radiation detectors. That's what we make. Put them out by a port border crossing Places like that they can help make sure that people aren't smuggling, shall we say, very bad things. Um, there's also a burgeoning field of research and application where you can use neutrons with some pretty cool physics to find water so you can do things like but a detector up in the mountains and measure snowpack. Put it out in the middle of the field and measure soil moisture content. And as you might imagine, there's some really cool applications in, uh, research and agronomy and public policy for this. >>All right, so it's OK, so it's It's much more than you know, whatever fighting terrorism, it's there's a riel edge, or I kind of i o t application for what you guys do. >>You do both Zito shares. You might >>say a mat. I I look at your role is kind of scaling the brain power for for the future. Maybe tell us more about Charlottesville schools and in the mission that you're pursuing and what you do. >>Thank you. Um, I've been in Charlottesville city schools for about 11 or 12 years. I started their teaching, Um, a handful of classes, math and science and things like that. But Thescore board and my administration had the crazy idea of starting an engineering program about seven years ago. My background is an engineering is an engineering. My masters is in mechanical and aerospace engineering. And, um, I basically spent a summer kind of coming up with what might be a fun engineering curriculum for our students. And it started with just me and 30 students about seven years ago, Um, kind of a home spun from scratch curriculum. One of my goals from the outside was to be a completely project based curriculum, and it's now grown. We probably have about six or 700 students, five or six full time teachers. We now have pre engineering going on at the 5th and 6th grade level. I now have students graduating. Uh, you know, graduating after senior year with, like, seven years of engineering under their belt and heading off to doing some pretty cool stuff. So it's It's been a lot of fun building up a program and, um, and learning a lot in the process. >>That's awesome. I mean, you know, Cuba's. We've been passionate about things like women in tech, uh, diversity stem. You know, not only do we need more more students in stem, we need mawr underrepresented women, minorities, etcetera. We were just talking to John her stock and integrate Grayson about this is do you do you feel is though you're I mean, first of all, the work that you do is awesome, but but I'll go one step further. Do you feel as though it's reaching, um, or, you know, diverse base and And how is that going? >>That's a great question. I think research shows that a lot of people get funneled into one kind of track or career path or set of interests really early on in their educational career. And sometimes that that funnels kind of artificial. And so that's one of the reasons we keep pushing back. Um, so our school systems introducing kindergartners to programming on DSO. We're trying to push back how we expose students to engineering and to stem fields as early as possible, and we've definitely seen the fruits of that in my program. In fact, my engineering program, uh, sprung out of an after school in Extracurricular Science Club that actually three girls started at our school. So I think that actually has helped that three girls started the club That eventually is what led our engineering programs that sort of baked into the DNA and also are a big public school. And we have about 50% of the students are under the poverty line, and we should I mean, Charlottesville, which is a big refugee town. And so I've been adamant from Day one that there are no barriers to entry into the program. There's no test you have to take. You don't have to have be taking a certain level of math or anything like that. That's been a lot of fun. To have a really diverse set of kids and or the program and be successful, >>that's phenomenal. That's great to hear. So, Philip, I wanna come back to you. You know, I think about maybe some day we'll be able to go back to a sporting events, and I know when I when I'm in there, there's somebody up on the roof looking out for me, you know, watching the crowd. And they have my back. And I think in many ways, the products that you build, you know, our similar I may not know they're there, but they're keeping us safe or they're measuring things that that that I don't necessarily see. But I wonder if you could talk about a little bit more detail about the products you build and how they're impacting society. >>Sure, So there are certainly a lot of people who are who are watching, trying to make sure things were going well in keeping you safe that you may or may not be aware of. And we try and support ah lot of them. So we have detectors that are that are deployed in a variety of variety of uses with a number of agencies and governments that dio like I was saying, ports and border crossing some other interesting applications that are looking for looking for signals that should not be there and working closely to fit into the operations these folks do Onda. We also have ah lot of outreach to researchers and scientists trying to help them support the work they're doing, um, using neutron detection for soil moisture monitoring is a some really cool opportunities for doing it at large scale and with much less, um, expense or complication then would have been done previous technologies. Mhm. You know, they were talking about collaboration in the previous segment. We've been able to join a number of conferences for that, virtually including one that was supposed to be held in Boston. But another one that was held, uh, of the University of Heidelberg in Germany. And, uh, this is sort of things that in some ways, the pandemic is pushing people towards greater collaboration than there would have been able to do. Had it all but in person. >>Yeah, we did. Uh, the cube did live works a couple years ago in Boston. It was awesome show. And I think, you know, with this whole trend toward digit, I call it the forced march to digital. Thanks to cove it I think that's just gonna continue. Thio grow Raphael one. If you could describe the process that you used to better understand diseases and what's your organization's involvement? Been in more detail, addressing the cove in pandemic. >>Um, so so we have the bio be structured in, Um um, in a way that foster So the combination of technology and science. So we have to scientific tracks, one about infectious diseases and the other one about understanding just basic human biology how the human body functions and especially how the cells in the human body function on how they're organized to create teachers in the body. Um, and then it has the set of platforms. Um, mind is one of them by engineering that are all technology. Read it. So we have data science platform, all about data analysis, machine learning, things like that. Um, we have a mass spectrometry platform is all about mass spectrometry technologies to, um, exploit those ones in service for the scientists on. We have a genomics platform. That is all about sequencing DNA in our DNA. Um, and then an advanced microscopy. It's all about developing technologies, uh, to look at things with advanced microscopes and the little technologies to marry computation on microscope. So, um, the scientists said the agenda and the platforms we just serve their needs, support their needs, and hopefully develop technologies that help them do their experiments better, faster, or allow them to the experiment that they couldn't do in any other way before. Um And so with cove, it because we have that very strong group of scientists that work on. I have been working on infectious disease before, and especially in viruses, we've been able to very quickly pivot to working on that s O, for example, my team was able to build pretty quickly a machine to automatically purified proteins, and it's being used to purify all these different important proteins in the cove. It virus the SARS cov to virus on Dwyer, sending some of those purified proteins all over the world. Two scientists that are researching the virus and trying to figure out how to develop vaccines, understand how the virus affects the body and all that. So some of the machines we built are having a very direct impact on this. Um, Also for the copy testing lab, we were able to very quickly develop some very simple machines that allowed the lab to function sort of faster and more efficiently. Sort of had a little bit of automation in places where we couldn't find commercial machines that would do it. >>Um, God s o mat. I mean, you gotta be listening to this in thinking about, Okay? Some. Someday your students are gonna be working at organizations like Like like Bio Hub and Silver Side. And you know, a lot of young people that just have I don't know about you guys, but like my kids, they're really passionate about changing the world. You know, there's way more important than, you know, the financial angles and that z e I gotta believe you're seeing that you're right in the front lines there. >>Really? Um, in fact, when I started the curriculum six or seven years ago, one of the first bits of feedback I got from my students is they said Okay, this is a lot of fun. So I had my students designing projects and programming microcontrollers raspberry, PiS and order We nose and things like that. The first bit of feedback I got from students was they said Okay, when do we get to impact the world? I've heard engineering is about making the world a better place, and robots are fun and all, but, you know, where is the real impact? And so, um do Yeah, thanks to the guidance of my students, I'm baking that Maurin. Now I'm like Day one of engineering one. We talk about how the things that the tools they're learning and the skills they're gaining eventually you know, very soon could be could be used to make the world a better place. >>You know, we all probably heard that famous line By Jeff Hammond Barker. The greatest minds of my generation are trying to figure out how to get people to click on ads. E. I think we're really generally generationally finally, at the point where you know young students and engineering and really you know it passionate about affecting society. I wanna get into the product, you know, side and understand how each of you are using on shape and and the value that that it brings. Maybe Raphael, you could start how long you've been using it. You know, what's your experience with it? Let's let's start there. >>I begin for about two years, and I switched to it with some trepidation. You know, I was used to always using the traditional product that you have to install on your computer, that everybody uses that. So I was kind of locked into that, but I started being very frustrated with the way it worked, um, and decided to give on ship chance. Which reputation? Because any change always, you know, causes anxiety. But very quickly my engineers started loving it. Uh, just because it's it's first of all, the learning curve wasn't very difficult at all. You can transfer from one from the traditional product to entree very quickly and easily. You can learn all the concepts very, very fast. It has all the functionality that we needed, and and what's best is that it allows to do things that we couldn't do before or we couldn't do easily. Um, now we can access the our cat documents from anywhere in the world. Um, so when we're in the lab fabricating something or testing a machine, any computer we have next to us or a tablet or on iPhone, we can pull it up and look at the cad and check things or make changes that something that couldn't do before because before you had to pay for every installation off the software for the computer, and I couldn't afford to have 20 installations to have some computers with the cat ready to use them like once every six months would have been very inefficient. So we love that part. And the collaboration features are fantastic. Especially now with Kobe, that we have to have all the remote meetings, eyes fantastic, that you can have another person drive the cad while the whole team is watching that person change the model and do things and point to things that is absolutely revolutionary. We love it. The fact that you have very, very sophisticated version control before it was always a challenge asking people, please, if you create anniversary and apart, how do we name it so that people find it? And then you end up with all these collection of files with names that nobody remembers, what they are, the person left and now nobody knows which version is the right one m s with on shape on the version ING system it has, and the fact that you can go back in history off the document and go back to previous version so easily and then go back to the press and version and explore the history of the part that is truly, um, just world changing for us, that we can do that so easily on for me as a manager to manage this collection of information that is critical for our operations. It makes it so much easier because everything is in one place. I don't have to worry about file servers that go down that I have to administer that have to have I t taken care off that have to figure how to keep access to people to those servers when they're at home. And they need a virtual private network and all of that mess disappears. I just simply give give a personal account on shape. And then, magically, they have access to everything in the way I want. And we can manage the lower documents and everything in a way, that is absolutely fantastic. >>Rafael, what was your what? What were some of the concerns you had mentioned? You had some trepidation. Was it a performance? Was it security? You know, some of the traditional cloud stuff and I'm curious as to how How whether any of those act manifested were they really that you had to manage? What were your concerns? >>Look, the main concern is how long is it going to take for everybody in the team? to learn to use the system like it and buy into it because I don't want to have my engineers using tools against their will write. I want everybody to be happy because that's how they're productive. They're happy and they enjoyed the tools they have. That was my main concern. I was a little bit worried about the whole concept of not having the files in a place where I couldn't quote unquote seat in some serving on site, but that that's kind of an outdated concept, right? So that took a little bit of a mind shift. But very quickly. Then I started thinking, Look, I have a lot of documents on Google Drive like I don't worry about that. Why would I worry about my cat on on shape? Right is the same thing. So I just needed to sort of put things in perspective that way. Um, the other, um, you know, their concern was the learning curve right is like how is he will be for everybody to and for me to learn it on whether it had all of the features that we needed and there were a few features that I actually discussed with, um uh, Cody at on shape on. They were actually awesome about using their scripting language in on shape to sort of mimic some of the features of the old cat, uh, in on shaped in a way that actually works even better than the old system. So it was It was amazing. Yeah. >>Great. Thank you for that, Phillip. What's your experience been? Maybe you could take us through your journey with on shape? >>Sure. So we've been we've been using on shaped Silver Side for coming up on about four years now, and we love it. We're very happy with it. We have a very modular product line, so and we make anything from detectors that would go into backpacks? Two vehicles, two very large things that a shipping container would go through and saw. Excuse me. Shape helps us to track and collaborate faster on the design, have multiple people working a same time on a project. And it also helps us to figure out if somebody else comes to us and say, Hey, I want something new. How we congrats modules from things that we already have. Put them together and then keep track of the design development and the different branches and ideas that we have, how they all fit together. A za design comes together and it's just been fantastic from a mechanical engineering background. I will also say that having used a number of different systems and solid works was the greatest thing since sliced bread. Before I got using on shape, I went, Wow, this is amazing. And I really don't want to design in any other platform after after getting on Lee a little bit familiar with it. >>You know, it's funny, right? I will have the speed of technology progression. I was explaining to some young guns the other day how e used to have a daytime er and that was my life. And if I lost that day, timer, I was dead. And I don't know how we weigh existed without, you know, Google Maps. Eso did we get anywhere? I don't know, but, uh, but so So, Matt, you know, it's interesting to think about, um, you know, some of the concerns that Raphael brought up, you hear? For instance, you know, all the time. Wow. You know, I get my Amazon bill at the end of the month It's through the roof in. But the reality is that Yeah, well, maybe you are doing more, but you're doing things that you couldn't have done before. And I think about your experience in teaching and educating. I mean, you so much more limited in terms of the resource is that you would have had to be able to educate people. So what's your experience been with With on shape and what is it enabled? >>Um, yeah, it was actually talking before we went with on shape. We had a previous CAD program and I was talking to my vendor about it, and he let me know that we were actually one of the biggest CAD shops in the state. Because if you think about it a really big program, you know, really big company might employ 5, 10, 15, 20 cad guys, right? I mean, when I worked for a large defense contractor, I think there were probably 20 of us as the cad guys. I now have about 300 students doing cat. So there's probably more students with more hours of cat under their belt in my building than there were when I worked for the big defense contractor. Um, but like you mentioned, uh, probably our biggest hurdle is just re sources. And so we want We want one of things I've always prided myself and trying to do in this programs provide students with access two tools and skills that they're going to see either in college or in the real world. So it's one of the reason we went with a big professional cad program. There are, you know, sort of k 12 oriented software and programs and things. But, you know, I want my kids coding and python and using slack and using professional type of tools on DSO when it comes to cat. That's just that that was a really hurt. I mean, you know, you could spend $30,000 on one seat of, you know, professional level cad program, and then you need a $30,000 computer to run it on if you're doing a heavy assemblies, Um, and so one of my dreams and it was always just a crazy dream. And I was the way I would always pitcher in my school system and say someday I'm gonna have a kid on a school issued chromebook in subsidized housing on public WiFi doing professional level bad and that that was a crazy statement until a couple of years ago. So we're really excited that I literally and, you know, march in, um, you said the forced march the forced march into, you know, modernity, March 13th kids sitting in my engineering lab that we spent a lot of money on doing. Cad March 14th. Those kids were at home on their school shoot chromebooks on public WiFi, uh, keeping their designs going and collaborating. And then, yeah, I could go on and on about some of the things you know, the features that we've learned since then they're even better. So it's not like this is some inferior, diminished version of the cat. And there's so much about it, E >>wanna I wanna ask you that I may be over my skis on this, but we're seeing we're starting to see the early days of the democratization of CAD and product design. It is the the citizen engineer. I mean, maybe insulting to the engineers in the room, but but is that we're beginning to see that >>I have to believe that everything moves into the cloud. Part of that is democratization that I don't need. I can whether you know, I think artists, you know, I could have a music studio in my basement with a nice enough software package. And Aiken, I could be a professional for now. My wife's a photographer. I'm not allowed to say that I could be a professional photographer with, you know, some cloud based software. And so, yeah, I do think that's part of what we're seeing is more and more technology is moving to the cloud >>Philip or Rafael anything. Your dad, >>I think I mean yeah, that that that combination of cloud based cat and then three D printing that is becoming more and more affordable on ubiquitous It's truly transformative, and I think for education is fantastic. I wish when I was a kid I had the opportunity to play with those kinds of things because I was always the late things. But, you know, the in a very primitive way. So, um, I think there's a dream for kids Thio to be able to do this. And, um, yeah, there's so many other technologies coming on, like Arduino and all of these electronic things that live. Kids play at home very cheaply with things that back in my day would have been unthinkable. >>So we know there's a go ahead. Philip Way >>had a pandemic and silver site moved to a new manufacturing facility this year. I was just on the shop floor, talking with contractors, standing 6 ft apart, pointing at things. But through it all, our CAD system was completely unruffled. Nothing stopped in our development work. Nothing stopped in our support for existing systems in the field. We didn't have to think about it. We had other server issues, but none with our, you know, engineering cad, platform and product development and support world right ahead, which was cool, but also a That's point. I think it's just really cool what you're doing with the kids. The most interesting secondary and college level engineering work that I did was project based. It's an important problem to the world. Go solve it and that is what we do here. That is what my entire career has been. And I'm super excited to see See what your students are gonna be doing, uh, in there home classrooms on their chromebooks now and what they do. Building on that. >>Yeah, I'm super excited to see your kids coming out of college with engineering degrees because yeah, I think that project based experience is so much better than just sitting in a classroom, taking notes and doing math problems on. And I think he will give the kids a much better flavor What engineering is really about. Think a lot of kids get turned off by engineering because they think it's kind of dry because it's just about the math for some very abstract abstract concept, and they are there. But I think the most important thing is just that. Hands on a building and the creativity off, making things that you can touch that you can see that you can see functioning. >>Great. So you know, we all know the relentless pace of technology progression. So when you think about when you're sitting down with the folks that on shape and there the customer advisor for one of the things that you want on shape to do that it doesn't do today >>I could start by saying, I just love some of the things that does do because it's such a modern platform and I think some of these, uh, some some platforms that have a lot of legacy and a lot of history behind them. I think we're dragging some of that behind them. So it's cool to see a platform that seemed to be developed in a modern era. And so that's, you know, it is the Google docks. And so the fact that collaboration and version ing and link sharing is, and, like, platform agnostic abilities the fact that that seems to be just built into the nature of the thing so far, that's super exciting as far as things that it to go from there, Um, I don't know. >>Other than price, >>you can't say I >>can't say lower price. >>Yeah, so far on a PTC s that worked with us. Really well, so I'm not complaining. There. You there? >>Yeah. Yeah. No Gaps, guys. Whitespace, Come on. >>We've been really enjoying the three week update Cadence. You know, there's a new version every three weeks and we don't have to install it. We just get all the latest and greatest goodies. One of the trends that we've been following and enjoying is the the help with a revision management and release work flows. Um, and I know that there's more than on shape is working on that we're very excited for, because that's a big important part about making real hardware and supporting it in the field. Um, something that was cool. They just integrated Cem markup capability In the last release that took, we were doing that anyway, but we were doing it outside of on shapes, and now we get to streamline our workflow and put it in the CAD system where we're making those changes anyway, when we're reviewing drawings and doing this kind of collaboration. And so I think from our perspective, we continue to look forward toa further progress on that. There's a lot of capability in the cloud that I think they're just kind of scratching the surface on you. >>I would. I mean, you're you're asking to knit. Pick. I would say one of the things that I would like to see is is faster regeneration speed. There are a few times with comics necessities that regenerating the document takes a little longer than I would like to. It's not a serious issue, but anyway, I'm being spoiled, >>you know. That's good. I've been doing this a long time and I like toe Ask that question of practitioners and to me, it it's a signal like when you're nit picking and that you're struggling to knit. Pick that to me is a sign of a successful product. And And I wonder, I don't know, uh, have the deep dive into the architecture, But are things like alternative processors? You're seeing them hit the market in a big way. Uh, you know, maybe a helping address the challenge, But I'm gonna ask you the big, chewy question now, then would maybe go to some audience questions when you think about the world's biggest problems. I mean, we're global pandemics. Obviously top of mind. You think about nutrition, you know, feeding the global community. We've actually done a pretty good job of that. But it's not necessarily with the greatest nutrition climate change, alternative energy, the economic divides. You've got geopolitical threats and social unrest. Health care is a continuing problem. What's your vision for changing the world and how product innovation for good can be applied to some of the the problems that that you all are passionate about? Big question. But who wants toe start >>not biased. But for years I've been saying that if you want to solve the economy, the environment, uh, global unrest, pandemics education is the case If you wanna if you want to, um, make progress in those in those realms, I think funding funding education is probably gonna pay off pretty well. >>Absolutely. And I think stem is key to that. I mean, all of the, ah lot of the well being that we have today and then industrialized countries, thanks to science and technology, right, improvements in health care, improvements in communication, transportation, air conditioning. Um, every aspect of life is touched by science and technology. So I think having more kids studying and understanding that is absolutely key. Yeah, I agree, >>Philip, you got anything they had? >>I think there's some big technical problems in the world today, Raphael and ourselves there certainly working on a couple of them. Think they're also collaboration problems and getting everybody doing ableto pull together instead of pulling, pulling separately and to be able to spur the idea is onwards. So that's where I think the education side is really exciting. What Matt is doing and and it just kind of collaboration in general when we could do provide tools to help people do good work? Uh, that is, I think, valuable. >>Yeah, I think that's a very good point. And along those lines, we have some projects that are about creating very low cost instruments for low research settings places in Africa, Southeast Asia, South America so that they can do, um, um, biomedical research that it's difficult to do in those place because they don't have the money to buy the fancy lab machines that cost $30,000 an hour. Um, so we're trying to sort of democratize some of those instruments. And I think thanks to tools like Kahn shaped and is easier, for example, to have a conversation with somebody in Africa and show them the design that we have and discuss the details of it with them. Andi, that's amazing. Right? To have somebody you know, 10 time zones away, Um, looking really life in real time with you about your design and discussing the details or teaching them how to build a machine. Right? Because, um, you know, they have a three d printer. You can you just give them the design and say, like, you build it yourself, uh, even cheaper than and, you know, also billing and shipping it there. Um, so all that that that aspect of it is also so super important, I think, for any of these efforts to improve, um, some of the hardest part was in the world from climate change. Do you say, as you say, poverty, nutrition issues? Um, you know, availability of water. You have that project at about finding water. Um, if we can also help deploy technologies that teach people remotely how to create their own technologies or how to build their own systems that will help them solve those forms locally. I think that's very powerful. >>Yeah, that point about education is right on. I think some people in the audience may be familiar with the work of Erik Brynjolfsson and Andrew McAfee, the second machine age where they sort of put forth the premise that, uh, is it laid it out. Look, for the first time in history, machines air replacing humans from a cognitive perspective. Machines have always replaced humans, but that's gonna have an impact on jobs. But the answer is not toe protect the past from the future. Uh, the answer is education and public policy. That really supports that. So I couldn't agree more. I think it's a really great point. Um, we have We do have some questions from the audience. If if we can. If I can ask you guys, um, you know, this one kind of stands out. How do you see artificial intelligence? I was just talking about machine intelligence. Um, how do you see that? Impacting the design space guys trying to infuse a I into your product development. What can you tell me? >>Um, absolutely. Like, we're using AI for some things, including some of these very low cost instruments that will hopefully help us diagnose certain diseases, especially this is that are very prevalent in the Third World. Um, and some of those diagnostics are these days done by thes armies of technicians that are trained to look under the microscope. But, um, that's a very slow process. Is very error prone and having machine learning systems that can, to the same diagnosis faster, cheaper and also little machines that can be taken to very remote places to these villages that have no access to a fancy microscope to look at a sample from a patient that's very powerful, and I we don't do this. But I have read quite a bit about how certain places air, using a Tribune attorneys to actually help them optimize designs for parts. So you get these very interesting looking parts that you would have never thought off. A person would have never thought off, but that are incredibly light ink earlier strong and I have all sort of properties that are interesting thanks to artificial intelligence machine learning in particular, >>yet another, uh, advantage you get when when your work is in the cloud I've seen. I mean, there's just so many applications that so if the radiology scan is in the cloud and the radiologist is goes to bed at night, radiologist could come in in the morning and and say, Oh, the machine while you were sleeping was using artificial intelligence to scan these 40,000 images. And here's the five that we picked out that we think you should take a closer look at or like Raphael said. I can design my part. My, my, my, my, my you know, mount or bracket or whatever and go to sleep. And then I wake up in the morning. The machine has improved. It for me has made it strider strider stronger and lighter. Um And so just when your when your work is in the cloud, that's just that's a really cool advantage that you get that you can have machines doing some of your design work for you. >>Yeah, we've been watching, uh, you know, this week is this month, I guess is aws re invent and it's just amazing to see how much effort is coming around machine learning machine intelligence. You know, Amazon has sage maker Google's got, you know, embedded you no ML and big query. Certainly Microsoft with Azure is doing tons of stuff and machine learning. I think the point there is that that these things will be infused in tow R and D and in tow software products by the vendor community. And you all will apply that to your business and and build value through the unique data that your collecting you know, in your ecosystems. And and that's how you add value. You don't have to be necessarily, you know, developers of artificial intelligence, but you have to be practitioners to apply that. Does that make sense to you, Philip? >>Yeah, absolutely. And I think your point about value is really well chosen. We see AI involved from the physics simulations all the way up to interpreting radiation data, and that's where the value question, I think, is really important because it's is the output of the AI giving helpful information that the people that need to be looking at it. So if it's curating a serious of radiation alert, saying, Hey, like these are the anomalies you need to look at eyes it, doing that in a way that's going to help a good response on. In some cases, the II is only as good as the people. That sort of gave it a direction and turn it loose. And you want to make sure that you don't have biases or things like that underlying your AI that air going to result in, uh in less than helpful outcomes coming from it. So we spend quite a lot of time thinking about how do we provide the right outcomes to people who are who are relying on our systems? >>That's a great point, right? Humans, air biased and humans build models, so models are inherently biased. But then software is hitting the market. That's gonna help us identify those biases and help us, you know? Of course. Correct. So we're entering Cem some very exciting times, guys. Great conversation. I can't thank you enough for spending the time with us and sharing with our audience the innovations that you're bringing to help the world. So thanks again. >>Thank you so much. >>Thank you. >>Okay. You're welcome. Okay. When we come back, John McElheny is gonna join me. He's on shape. Co founder. And he's currently the VP of strategy at PTC. He's gonna join the program. We're gonna take a look at what's next and product innovation. I'm Dave Volonte and you're watching innovation for good on the Cube, the global leader. Digital technology event coverage. We'll be right back

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS and our community partners. Everyone welcome back to the cubes coverage of a Davis reinvent 2020. It's a virtual conference this year. This is the Cube virtual. I'm John for your host. We're not in person this year. We're doing it remote because of the pandemic, but it's gonna be wall to wall coverage for three weeks. We've got you covered. And we got a great interview signature interview here with Two Cube alumni's Matt Garment, vice president of sales and marketing at AWS, formerly head of the C two and, of course, Sanjay Poon in CEO of VM Ware. Both distinguished guests and alumni of the Cube. Good to see you, Sanjay. Matt. Thanks for coming on. Uh, let's just jump into it. How are you guys doing? >>Great. Exciting. Excited for reinvent and, uh, excited for the conversation. So thanks for having us on. >>Yeah, I'm great to be here. We are allowed to be 6 ft away from each other, so I came in, but super excited about the partnership. Matt and I have been friends for several years on. You were so excited about another reinvent, the different circumstances doing all virtual. But it's a fantastic partnership. >>You know, I look forward to reinvent one of my most favorite times of the year, and it's also kind of stressful because it's backs up against Thanksgiving. And but, you know, you get through it, you have your turkey and you do the Friday and you guys probably Kino, perhaps, and all things going on and then you go to Vegas is a few celebration. We're not doing it this year. Three weeks eso There's gonna be a lot of big content in the first week, and we're gonna roll that out. We're gonna cover it, But it's gonna be a different celebrations so mad. I know you're in front center on this, Uh, just real quick. What are what do you expect people to be doing on the system? What's your expectations and how is this all going to play out? >>Yeah, you know, it's gonna be different, but I think we have Justus much exciting news as ever. And, you know, it's gonna be over a three week period. I think it actually gives people an opportunity to Seymour things. I think a lot of times we heard from, uh, from customers before was they love the excitement of being in Vegas, and we're not gonna be able to exactly replicate that, but But we have a lot of exciting things planned, and it'll enables customers to get two more sessions Seymour of the content and really see more of the exciting things that are coming out of AWS. And there's a lot s over the three weeks I encourage folks toe to dive in and really learn things is a This is the opportunity for customers to learn about the cloud and and some really cool things coming out. We're excited. >>Well, congratulations on all the business performs. I know that there's been a tailwind with the pandemic as people wanna go faster and smarter with cloud and on premise and Sanjay, you guys have a great results as well. Before I get into some of my point. Of course, I have a lot of I know we don't a lot of time, but I want to get a nup date on the relationship we covered in three years ago when, uh, Andy Jassy and team came down to San Francisco with Pat Gelsinger, Raghu, Sanjay. All this went down. There were skeptics. Relationship has proven to be quite strong and successful for both parties because you guys take a minute so you will start with you and talk about the relationship update. Where you guys at, What's the status? The relationship people want to know. >>Yeah, I think John, the relationship is going really well. Uh, it's rooted in first off, a clear understanding that there's value for customers. Um, this is the best of the public cloud in the private cloud in a hybrid cloud journey. And then, secondly, a deep engineering effort. This wasn't a Barney announcement. We both decided Matt in his previous role, was running a lot of the engineering efforts. Uh, we were really keen to make this a deep engineering effort, and often when we have our connected Cube ers, we're doing one little later this afternoon. I often can't tell when a Amazon personal speaking when a VM ware person speaking we're so connected both the engineering and then the go to market efforts. And I think after the two or three years that the the solution has had to just state and now we have many, many customers started to get real value. The go to market side of the operations really starting take off. So we're very excited about it. It is the preferred and the best offering. We think in the market, Um, and for Vienna, where customers. We message it as the best place for Vienna workload that's running on V sphere to move into Amazon. >>Matt, what's your take on the relationship update from your >>standpoint, I agree with Sanjay. I think it's been it's been fantastic. I think like you said, some folks were skeptical when we first announced it. But But, you know, we knew that there was something there and I think as we've gotten even deeper into this partnership, Onda figured out how we can continue Thio integrate more deeply both with on Prem and into the cloud. Our customers have really guided us and I think that's that's enabled us to further strengthen that partnership, and customers continue to get more excited when they see how easy it is to move and operate their VM where in their V sphere workloads inside of a W S on how it integrates well with the AWS environment, Um on they can still use all of the same functions and capabilities that they they built their business on the inside of the sphere. We're seeing bigger and bigger customers really just embrace us, and the partnerships only grown stronger. I think you know, Sanjay and I, we do joint sales calls together. I think that the business has really, really grown. It's been it's been a fantastic partnership. >>I was talking about that yesterday with being where in eight of us teams members as well. I want to get your thoughts on this cultural fit. Sanjay mentioned e think the engineering cultures air there. The also the corporate culture, both customer focused. Remember Andy Jassy told me, Hey, we're customer focused like you're making big. You make big, big statements Public Cloud and now he goes toe hybrid. He's very reactive to the customers and this is a cultural thing for me, was an VM where what are the customers saying to you now? What are you working backwards from this year? Because there's a lot to work backwards from. You got the pandemic. You got clear trends around at modernization automation under the covers, if you will. And you got VM Ware successful software running on their cloud on AWS. You got other customers. Matt, what's the big trends right now that are highlighted in your in your world? >>Yeah, it's a good question. And I think you know, it really does highlight the strength of this this hybrid model, I think, you know, pre pandemic. We had huge numbers of customers, obviously kind of looking at the cloud, but some of the largest enterprises in the world, in the more traditional enterprises, they really weren't doing a lot, you know, they were tipping their toes in, and some of the forward leaning enterprises were being really aggressive about getting into the cloud. But, you know, many people were just, you know, kind of hesitant or kind of telling, saying, Yes, we'll go learn about the cloud. I think as soon as the pandemic hit, we're really starting to see some of those more traditional enterprises realize it's a business imperative for them. Toe have ah, big cloud strategy and to move there quickly, and I I think our partnership with VM Ware and the VMC offering really is allowing many of these large enterprises to do that. And we see we see big traditional enterprise is really accelerating that move into the cloud. It gives them the business agility they need that allows them to operate their environment in uncertain world that allows them to operate remotely on DSO. We're seeing all of those trends, and I think I think we're going to continue to see the acceleration of our joint business. >>Sanjay, your thoughts. Virtualization has hit ah, whole nother level. It's not like server virtualization like it's cultural, it's societal. What's your take? >>Yeah, I think you know, virtualization is that fabric that connects the private cloud to the public cloud. It's the basis for a lot of the public cloud infrastructure. So when we listen to customers, I think the first kind of misconception we had to help them with was that it had to be choice between one or the other and being able to take Vienna Cloud, which was basically compute storage networking management and put that into the bare metal capabilities of AWS, an engineer deep into the stack and all the services that Matt and the engineering team were able to provide to us now allows that sort of application that sitting on premise to move like a house on wheels into a W s. And that's a beautiful experience we've even shown in in conferences, like a virtual reality moving of a workload, throwing a workload into a W s and a W s catches it. It's a good metaphor in a good way to think of those things that VM were like like the most playing the customers like like the emotional moves nicely. But then the other a misconception we had thio kind of illustrate to our customers was that you could once you were there, uh, let's take that metaphor. The house and wheels renovate the house with all the I think there's probably $200 services that Amazon AWS has. Um, all of a I data services be I I o t. Whatever. You have all the things that Andy and Matt kind of talk about in any of the reinvents. You get to participate and build on those services so it has. It's not like you take this there, and then it's sort of a dead end. You get to modernize your app after you migrated. So this migrate and modernize motion is something that we really start to reinforce with our customers, and it doesn't matter which one you do. First, you may modernize first and then migrate or migrate first and modernize. And in the modernized parts we've also made some significant investments and containers and Tan Xue. We could talk about that at this time and optimizing that for both the private cloud world and the public cloud world like Amazon. >>You know, Matt, this is something that we're talking about a lot this week. These few weeks with reinvent going on this everything is a service trend has a lot of things under it, like automation. Higher level services. One of the critics would say, Three years ago, when this announcement relationship between VM Ware enables came out was, Oh, Amazon's is going to steal all of their customers and VM we're screwed. Turns out that's not the case. You guys are both winning and rising. Tide floats all boats because VM Ware has an operator kind of market. People are operating their business with VM ware and they're adding higher level services with Cloud native, So it Xan overall win, so that was proven false. So clearly the new trend You guys are gaining a large enterprises that wanna go faster, have that existing operator kind of legacy stuff or pre conditions of the enterprise like VM ware. So how do you guide the technology teams and how do you look at this? Because this is where customers are like saying, Hey, I cannot operate my business house on wheels, modernize it in real time, come out a covert with the growth strategy and go faster your interview on all that. >>So I think you're exactly right. I think we see a lot of customers who see I don't want to necessarily lose what I have. I want to add on top of that, And so whether that's adding machine learning and kind of figuring out how they can take their data from various different data silos and put them into a large data lake and gets the machine learning insights on top of that, whether they want to do analytics, um, whether they want to d i o T. Whether they want to modernize two containers, I think there's there's a whole bunch of ways in which customers are looking at that. But you're absolutely right. It's not a I'm gonna go from a to B. It's I'm gonna take a and add B to it and, um, we see that's that's over and over again. I think what we've seen from customers doing it and, um and they're really taking advantage of that, right? And I think customers see all the announcements that we're making a reinvent over the next three weeks, and they wanna be able to take advantage of those things right? It's it's they want to be able to add that onto their production environment. They want to take a lot of the benefits they've gotten from their VM Ware environment, but also add some of these innovations from AWS. And I think that Z that really is what we focus on is what our engineering teams focus on. You know, we have joint engineering efforts to figure out how we can bridge that gap, right, so that they BMR environments can very easily reach into their A W s environment and take advantage of all the new services and offerings that we have there. So, um, that's that's exactly what our joint teams really pushed together. >>Sanjay, I wanna get your thoughts on this and we talk. Two years ago, we had a conversation with Cuba. I ask you since this is a great move for VM Ware because it simplifies the messaging and clears up the whole cloud strategy. And you had said something that I'm gonna bring this back today. You said it's not just simplifying the messaging to customers about what we're gonna do in the cloud. It's going to simplify their life is gonna make things easier. Have them set up for better bitterness. Goodness down the road. Can you take him in to explain what that what that goodness was? What came out of the simplicity of the messaging, the simplicity of solution? Where are we now? How does that all kind of Italian together? Can you take him in to explain that? >>Yeah, I think when the history books are written, John, um, this partnership will be one of the most seminal partnerships because from VM Ware's perspective, maybe a little from Amazon Let Matt talk about if you feel the same way. This is a headwind turning into a tailwind. I think that's sort of narrative that VM ware in Amazon were competing each others that maybe was the early story. In the early days of A W s Progress and VM, we're trying to build our own public cloud and then divesting that, uh, Mats, a Stanford grad. I'm a Harvard grad. So one day there'll be a case study. I think in both schools about how this partnership we have a strong partnership with deadlines, sometimes joke. That's a little bit of an arranged marriage we don't have. We didn't have much saying that because AMC Bardhyl so that's an important partnership. But this one we have to work hard to create. And I tell our customers, Del on AWS are top partners. And as you think about what we've been able to do here, the simplicity to the customer for you, as you describe this, is being able to really lower cost of ownership in any process, in terms of how they're building and migrating APs to be the best optimization of hardware, software and services. And the more you could make that better, simpler, cheaper through software and through the movement to the cloud. Um, I think customers benefit, and then you know, Of course, the innovation machine of both companies. Uh, Amazon's really building. I mean, every time I go to read and I'm just amazed at the Yeah, I think it's a near 200 services that they're building in all of these rich layers. All of those developers, services and, I don't know, two million customers. The whatever number of people that have it reinvent this year get to participate on top of all the applications and the virtualization infrastructure we built over the 20 years of our history. Uh eh. So I hope, you know, as we continue do this, this is all now, but customers success large and small customers being able to. And I'm very gratified to three years since we announced this that we're getting very good customer traction. And for us, that's gonna be a key focus to the reinvent, uh, presence we >>have at their show. It really just goes to show you when you built, when you invest in relationships up and down the spectrum from engineering Ah, product and executive. It kind of does pay off. Congratulations to you guys on that matter. I want to get your thoughts on where this kind of going because you're talking about the messaging from VM ware in the execution that comes behind it is the best, you know, Private public cloud hybrid cloud success. There's momentum there. What are the customers saying to you when you look at customer proof points? Um, what do you point to? Because you're now in charge of sales and marketing, you have to take now the installed base of Amazon Web services, which is you got the Debs and startups and, you know, cloud scale to large enterprises. Now you got the postcode growth. Go fast, cloud scale. You've got a huge customer base. You've got a target. These guys, you gotta bring this solution. What are they saying about the VM ware AWS success? Can you share some? Some >>days I'd be happy to, I think I mean, look, this this is what gets, uh, us excited. I know Sanjay gets just as excited about this. It's and it's really it's resonating across our customer base. You know, there's folks like S and P Global who's a large enterprise, right? They had, uh, they had a hardware procurement cycle. They were looking at them on front of implementation and they looked at a WSMV I'm wearing. They said, Look, we want to migrate. All of our applications want to migrate. Everything we have into the cloud, I think it was 150 critical financial applications that they seamlessly migrated with zero downtime Now all running on BMC in the cloud. Um, you look at governments, right? We have thing folks like the Scottish government on many government customers. We have folks that are like Penny Mac and regulated industries. Um, that really took critical parts of their application. Andi seamlessly migrated them to to A W S and BMC, and they looked at us. And when we talk to these customers, we really say, like, where is the best place for us to run these v sphere workloads? And, um and the great thing is we have a consistent message. We we know that it's the right that that aws nbn where's the best place to run those VCR workloads in the cloud? And so as we see enterprises as we see regulated industries as we see governments really looking to modernize and take advantage of the cloud, we're seeing them move whole swaths of their applications. And this is not just small parts. These are the critical really mission critical applications that they know that they need to get out flexibility on, and they want to get that agility. And so, um, you know, there's been a broad swath of customers like that that have really moved large large pieces of their application in date of us. So it's been fun to see. >>And John, if I might add to that what we've also sought to do is pick some of those great customers like the ones that Matt talked about and put them on stage. Uh, VM world. In previous, we had Freddie Mac and we had, you know, I h s market and these are good examples in the few that Matt talked about. So I'm super excited. I expect there'll be many more reinvent we did. Some also be in world. So we're getting these big customers to talk about this because then you get the 10 phenomenon. Everyone wants to come to this, tend to be able to participate in that momentum. The other thing I'm super excited about it started off as a US phenomenon. Just the U s customers, but I'm starting to see riel interest from European and a p J customers. Asia Pacific customers in countries Australia, Japan, U. K, France, Germany. So this becomes a global phenomenon where customers understand that this doesn't have to be just the U. S centric customers that are participating. And then that was, for me a very key objective because the early customers always gonna start in the Geo where, um, you know, there's the most resonance with the public cloud. But now we're starting to see this really take off in many parts of the world. >>Yeah, that's a great point at something we can talk about another conversation. Maybe we will bring you guys into some of our live check ins throughout the three weeks we're doing here. Reinvent. But this global regional approach Matt has been hugely successful. Um, we're on Amazon. We have Q breaches because by default, we're on top of Amazon. You're seeing companies build on top of Amazon. Look a snowflake. The largest I po in the history of Wall Street behind VM Ware. They run Amazon, right? And I will probably have other clouds to down the road. But the point is you guys are enabling this. >>Yeah, global. And it's it is one of the things that we hear from customers that they that they love about running in the cloud is that, you know, think about if you had Teoh, you know you mentioned snowflake. Imagine if your snowflake and you have to go build data centers everywhere. If you had to go roll out toe to Europe and then you have to build data centers in Germany and then you have to build data centers and the U. K. And then you had to go build data centers in Australia like that would be an enormous cost and complexity, and they probably wouldn't do it frankly, at their early stage, Um, you know, now they just they spin up another stack and their ableto serve their customers anywhere around the world. And we're seeing that from our VM or customers where, you know, they actually are spinning up brand new vmc clusters, uh, where they weren't able to do it before, where they either had toe operate from a single stack. Um, now they're able to say, you know what? I'd love to have Ah, vm or stack in Australia, and they're able to get that up and running quickly. And so I do think that this is actually enabling new business it z, enabling customers to think about. How do they put their computer environment close to where their end users are or where they need that computer environment to be sometime just close to end users? Sometimes it's for data residency requirements, but it really kind of enables customers to do that. Where think about in a cove in world, if you have to go launch a data center in a new country, you probably just I mean, maybe it wouldn't even be possible to do that way are today. And now it's just FBI calls. So >>I mean, your point about going slows in an option. The imperative we have, you know, even expression here inside silicon and on the Cube team. Is there a problem? Yes. Is it important? Yes. What are the consequences if you don't solve the problem? Can you quantify those consequences? And then you gotta look at solutions and look at the timing. So you got timing. You got cost. You got the consequences of not doing it. And speed all those things. No. No one's gonna roll out of data center in six months if they if they tried so again, Cloud. And I'm trying to come into play here. You gotta operate something. It's a hand in the glove, its's. I'm seeing the cream rise to the top with covert. You're seeing real examples of riel scale riel value problems that you solve that important that have consequences that can be quantified. I mean, it's simple. Is that >>you know, John, I was gonna say, in addition to this via McLeod on aws were also pretty, you know, prominent AWS customer for some of our services. So some of the services that we've seen accelerate through Covic Are these distributed workforce security capabilities? Eso we resume internally, that obviously runs on AWS. But then surrounding that with workspace one and carbon like to secure the laptop that goes home. Those services of us running A W. S two. So this is one of those places where we're grateful that we could run those cloud services because we're also just like Snowflake and Zoom and others. Many of the services that we build that our SAS type services run on Amazon, and that reinforces the partnership for us. Almost like a SAS customer. >>Well, gentlemen, really appreciate your insight. As always, a great conversation. We could go for another hour. You guys with leaders of your organizations, you're at the front lines as managing through the pandemic will have you guys come into our check ins throughout the three weeks now here during reinvent from or commentary. But I'd like to end this segment by sharing. In your opinion, what is the most important thing that the audience should pay attention to this year at Reinvent? I know there's a lot of things going on. It's three weeks, not four days. It's so it's longer, but still there's a lot of announcements, man, on your side vm where you got the moment and you got your announcements. What should customers pay attention to this reinvent Virtual 2020. >>So, do you wanna go first? >>No, man, it's your show. You go first. E >>I would encourage folks toe Really think about and plan the three weeks out. This this is the opportunity to really dive in and learn. Right? Reinvent is as as many of you know, this This is just a different type of conference. It's not American Conference. This is a learning conference, and and even virtually that doesn't change. And so I encourage. Look across the broad swath of things that we're doing. Learn about machine learning and what we're doing in that space. Learn about the new compute capabilities or container capabilities. Learn about you know what, what is most relevant to your business if you're looking about. Hey, I have an on premise data center, and I'm looking about how I extend into the cloud. There's a lot of new capabilities around BMC and AWS that makes sense, but there's also a lot of cool announcements around just other services. Um, that could be interesting. We have a ton of customers. They're giving talks. And learning from other customers is often the best way to really understand how you can get the most value out of the cloud. And so I encourage folks toe really kind of block that time. I think it's easy when your remote to get distracted by, you know, watching Netflix or answering emails or things like that. But this is this is a great opportunity to block that schedule. Find the time that you have to really spend time and dive into the sessions because we have a ton of great content on a lot of really cool launches coming up. >>Yeah, I'm just very quickly. I would like one of things I love about Amazon's culture and were similar. VM Ware is that sort of growth mindset. Learn it all and I'm looking forward myself personally to going to reinvent university. This is three weeks of learning, uh, listening to many of those those things. I learned a ton and I've tried to have my own sort of mindset of have being a learn it all as opposed to know it. Also these air incredible sessions and I would also reinforce what Matt said which is going find pure customers of yours that are in your same vertical. We're seeing enormous success in the key verticals Vienna plays in which itself called financial services public sector healthcare manufacturing, CPG retail. I mean, whatever it is so and many of those customers will be, uh, you know, doing virtual talks or we have case studies of use cases because often these sort of birds of a feather allow you to then plan your migration of modernization journey in a similar >>fashion, Matt Sanjay, always great to get the leaders of the two biggest companies in our world A, W s and VM where to share their perspectives. Uh, this year is gonna be different. I'm looking forward to, you know, really kinda stepping up and leaning into the virtual because, you know, we're gonna do three weeks of cube coverage. We have, like, special coverage days, Tuesday, Wednesday, Thursday for each of the three weeks that we're in. And we're gonna try to make this fun as possible. Keep everyone engaged on tryto navigate, help people navigate through the virtual world. So looking forward to having you guys back on and and sharing. Thanks for coming. I appreciate it. Thank you very much. Okay, this is the cubes. Virtual coverage of virtual reinvent 2020. I'm John for your host. Stay with us. Silicon angle dot com. The cube will be checking in with our live coverage in and out of the sessions and stay with us for more wall to wall coverage. Thanks for watching. Yeah,

>>from around the globe. It's the Cube covering upgrade 2020 The NTT Research Summit presented by NTT Research. >>Hi, I'm stupid, man. And this is the Cubes coverage of Upgrade 2020 the global research Summit for NTT and always happy when we get to talk about digital transformation. Happy to welcome to the program First time guests on the program. Eric Clark. He is the chief digital officer with NTT Data. Thanks so much for joining us. Thank >>you. Glad to be here. >>All right, so let's start, you know, CDOs. First of all, there there's lots of studios. We've done lots of events with the chief data officers, which I'm sure we'll talk a little bit about data. But the digital officers, of course, digital so important in general. And even more so in 2020. But let's understand your role is as chief digital officer. What's your charter where you sit in York? What you're responsible for? >>Yeah, definitely. And you know, it's a good question. I often start conversations with our customers by talking about exactly that, because Chief Digital officer means something different toe different companies. So for us, it's primarily market facing. Onda What that means is I spend most of my time looking at research, looking at R and D, looking at what our competitors are doing in the market and looking at where trends. We're going to make sure that we have the right offerings and capabilities to bring to our customers to make sure that they will remain competitive in their markets. >>That's great. You know, We've been talking for years about the, you know, the digital transformations that companies have been going through. One of our definitions have been. If you're not at the end of it, more data driven, you probably haven't done the right thing. But Eric, this year with 2020 you know, anecdotally we talked to a lot of customers, and obviously there's certain initiatives that get frozen or, you know, uh, we'll take a little bit longer. But those digital initiatives, which are supposed to rely on data and help us move fast and be more agile, seem to be at the top of the list and are accelerating because if I can't respond to you know, the daily and weekly changes that have been great in 2020 you know, I might have a tough time surviving. So what are you seeing? You know, how does that live in your world? >>Yeah, you're exactly right. And that's what we're seeing from our client base as well. So early on in the pandemic, there was a lot of freeze, you know, hold everything. Stop. Stop spending. And let's figure out where we are and where this is going. But very quickly that turn to we've got to react. We're gonna be living with this for a while and we can't. We can't afford to sit back and wait and see where it goes. We've got to react, and we've got to direct our our future. And very often the way that comes out is with digital. So you know, customers are looking for opportunities to leverage digital, to grow revenue, to improve customer engagement and to drive more of their revenue through digital channels. >>Interested in one thing I didn't here and there, but I'm sure is part of it. What about the employees themselves? One of the big things, of course, is that we've made this wonderful corporate environment. You've got the great great Internet there, and now wait. Everybody's at home and scrambling as to what they do. So so how about the kind of the the e x to go along with the C X? Yeah, >>exactly. And that was actually one of the first places that we focused as a company, because we do a lot of you know what we refer to as workplace services. So making sure that our customers employees have the tools they need to do their job successfully. Eso immediately. When when officers started closing and people started going home, our big challenge was Let's make sure that our customers can connect from anywhere from wherever they need to be working from and have access to the applications and the tools and the products that they need to perform their jobs remotely. And that's really turned into a significant business of its own of, you know, really addressing those needs not only for our customers but also for our employee base. You know, we have 50,000 people that we sent home more than 90% of overnight, and you know, many of these are our employees that are interacting with our customer based on a daily basis, So we had to make sure not only that they had connective, >>but >>he had to be secure. So it was a very big switch. And I think I personally was really impressed. Not only with what we did, but what we saw. The industry. Dutilleux make that transition very safely and seamlessly. >>Well, let's Eric, I love you to expand a little bit on that. You know which pieces of that that full solution, Uh, is NTT offering? And how do you and your partner's, uh, you know, help your customers through. You know, those rapid options that they need? >>Yeah, so So So we're a full suite provider. So we're focused on digital operations, which is, you know, digitizing your back office from your workplace services to your hybrid infrastructure network, etcetera, all the way through bringing. You know what? We refer to his journey to the cloud. So how do we help you identify what applications and what data you need in the cloud? Um uh, c X and E x. Very big focuses for us. In fact, we take a lot of pride in while we do go to market and sell c X specifically, we consider c x part of everything we do so if we're talking about workplace services or hybrid infrastructure or security. We want the employee experience to be solid, and we want the employee experience to be consistent across all of those things. So way think that our customers should not expect to have different interfaces and different portals and different user experiences when they do work with us across infrastructure and application and cloud etcetera. >>That's excellent, Eric. You know, we spent the last six months talking about how do we react to the pandemic? And now, at least, you know, here in the U. S. Uh, the Children are back in school. If they're back, though, it tends to be ah, hybrid model. And when we look at work, often we know we're gonna have this elongated kind of new abnormal, if you will. So, yes, you might be back in the office some, but chances are you will spend some time remote and therefore it's not work from home or back toe work. It's work from anywhere, is what I need to be able to do. So how are you preparing? How are you helping your customers through that? Because, you know, it's one thing if it was just, you know, a switch that says I'm either here or there, but it z changing and it's very fluid. >>Yeah, and you're exactly right. It is work from anywhere, but there are some of our customers that don't have the luxury of work from anywhere. So when you think about manufacturing facilities and different hospitality companies, um, there there are people that need to go into physical places. We do a lot in the healthcare space. We need doctors in the hospitals. So we've done a lot to help our customers figure out safe ways to return to the work. Recently, we've seen universities and, as you mentioned, you know, high schools and elementary schools all going back with varying degrees of success, right? Some of them have failed, and they've had to take a pause and and figure out how they're going to restart. We've also seen professional sports leagues and now college sports leagues. Andi, When we see them having issues, we see protocols adjusting and we see them looking for what can we do to make this safer, more effective and more successful for whether it's our sports team, our school or our business. So we've taken a very active approaching that, and we're leveraging technology and creating I P. That starts with pre arrival, you know, registering in advance and, you know, opting in for things like tracking social distancing and tracking the use of mask, then using cameras and facilities to monitor it, to make sure people that are are adhering to social distancing and adhering to wearing masks. Andi In the event that they aren't we can send instant notifications to their phone. If we have repeat violators, Weaken. Prohibit them from coming back to the office so we can have very strict controls and adherence to whatever the protocols. Maybe as the protocols change. And then the other thing that allows us to do is in the event someone would test positive with co vid, we will know exactly who they've been within 6 ft of without a mask over the past X number of days. All that is stored in the cloud for us to, you know, use for reference and use for audit purposes so that gives us the ability to then use are apt to direct all the people that the person that was positive was in contact with, let them go, get tested, come back with a negative test before they return to the office. So So, basically, what we've done is we've created all kinds of technology using automation and AI and facial recognition to bring MAWR safety and more security to the workplace. Whatever that work placement might be, whether again, school, university manufacturing facility or a hotel >>Really interesting topic. You know, tracking and tracing so critically important we've seen in many countries around the world. That's really help them get their arms around and control that. You know, we talked to the top of the interview about, you know, digital means leveraging the data. And if I don't have the data, I can't respond to what's happening there. Um, here in the US, I haven't heard as much about the tracking and tracing. Is this a company by company thing do they have is the expense all on them to do it? And of course, it raises the concerns about Well, I'm concerned about my privacy and that that balance between the public interest on my right to privacy, how do you help your customer sort through some of those issues >>Well, privacy is definitely a big issue. And, you know, you noticed that when I was explaining that I said in pre pre arrival, you opt in. So the way we've approached it is it is an opt in. So those that don't wanna opt into that kind of tracking and tracing, um won't won't be those that will be allowed to come back to the office. And that goes back to your other point of work from anywhere. Many of those people can still successfully work from anywhere but those that feel like they're more effective, more successful or have a need to be in an office or need to be physically again in a manufacturing facility or a hotel. We have a way to do that safely, >>right? Well, Eric, one of the things I love about research events like yours is a little peek in tow. What's coming on down the road? So any other things you'd like toe, you know, share about, You know, some of the things that are exciting. You some things we should be looking at a little bit further down the road. >>Well, I think you know for us, as you know, We spend a significant amount of money each year on research, and and we really get excited about thes thes opportunities in these showcases. So you'll see ah, lot of exciting information and a lot of what's coming in the future. Um, a lot of it right now, obviously, because of the times you'll see themes of safety and security. Um, but you're also going to see just ah, whole lot of really thought provoking forward thinking technology. >>Always take the opportunity. Even when there are crisis is out there. There's the opportunity for innovation and acceleration off. What's happening? Eric, Thanks so much pleasure talking with you and definitely looking forward to hearing more from from the event. >>Great. Thank you. Enjoyed it. >>Stay with us for more coverage from upgrade 2020 times to minimum. Thanks as always, for watching cute with

(upbeat music) >> From the SiliconANGLE Media office, in Boston Massachusetts, it's theCUBE. Now, here's your host, Stu Miniman. >> I'm Stu Miniman, I'm here with Bobby Patrick, the Chief Marketing Officer of UiPath and Bobby, UiPath sponsored a new survey in paper that is from the economists, it's called The Advance of Automation. Tell us a little bit about why that paper was done. >> Yeah. So Robotic Process Automation is fairly new to the market. Automation, obviously has been around a while. It's been mostly in I.T. where we've automated for the last 20 years. With RPA now, you can really begin to talk to the C level executives about, "Hey, I can really drive 10, 15 percent productivity with every employee. I can really being to think about dramatic digital transformation across my entire enterprise". And so, we approached a few outlets, The Wall Street Journal being one, the FT, and The Economist. The Economist was very interested, they obviously have studies about the impacts of the workforce around productivity. And they viewed this as a really exciting effort to engage in. We obviously sponsored it as well. But the results really were from their surveys. They had multiple professionals on it, and we couldn't be more excited about the results of the paper. >> Awesome, a lot of data in there which our audience always love. What were some of the key takeaways from the results? >> High interest in automation. But only about half solved, really broad usage of automation in their company. I think what we realize here is that automation has impacted a number of areas. Certainly hard automation, hard automation is physical robots. But soft automation, or robotic automation, actually had higher awareness in it's potential. So I was surprised about that. But I think what the most important part to me is that over 90% said they thought automation could have massive impacts on their company. Not really surprising data, I would say I some cases. But I think the way they pull it all together and summarize about it's potential. I think that's what was most impactful. >> All right, Bobby, we've been loving digging in on theCUBE for years about the future of work. There is still so much concern or fear out there. "Robots are taking my job" "I throw in this new technology." And we understand in the I.T. industry, it is very rare that a technology directly replaces people. >> Right. >> As a matter of fact, we've done events with MIT and it's people plus machines. >> Right. >> It's usually the best answer. Where does this research fit with that whole second machine age and discussing their jobs? >> Yeah, I think what's great is, two years ago, RPA was not widely known, at all. And I think at the time the narrative was AI's going to replace jobs. There was a lot of fear. But that's not what we're seeing at all. And I think the paper confirms this as well. But, this is about robots doing the work we hate. Nobody misses the work that robots do. We see in terms of the results in data is that the increase in productivity actually drives a more efficient workforce and a more satisfied workforce. Happier employees. Employee engagement. Employment productivity is what we talk about often now. And so I think that narrative has shifted very quickly. And you could argue "Well it's low unemployment economy so maybe that's why." But even in certain countries that we're in like Brazil which have a much higher unemployment. The enthusiasm there is still very high. >> All right, as I mentioned, there's a lot of data in there. Which person in the organization is driving this, where is the awareness? There's geographical cuts of it. >> Right. >> So if people what to find out more, how do they get that? >> So Economist was great. They said "Hey, we love your view of this automation first era like the cloud first era", Stu that we've all be involved in for so long. The automation first era's huge and so they said "Hey, automationfirst.economist.com would be a great URL". All the content's up there now. You can download the white papers, there's a great infographic and it's part of the Economist. So, automationfirst.economist.com. >> All right, thank you so much, Bobby. I love about it automationfirst.economist.com and really all you have to do is go to that website, click a button, you don't have to fill out a long form. >> No. >> I'm guessing some robot just populates all the stuff that you need there. >> Of course. >> All right, for Bobby Patrick, I'm Stu Miniman. Thanks for joining us as always on theCUBE. (upbeat music)

(upbeat music) >> Hey, welcome back everybody, Jeff Frick here with theCube. We're at San Francisco International Gate 54B, at the Alaska Elevated Experience Event. It's pretty exciting, they're really used the opportunity on the Virgin integration, to kind of rebrand everything. Redo the planes, add a lot of new technology, and we're really happy to have our next guest , she's Annabel Chang, she's the vice president of the Bay area for Alaska. Annabelle great seeing you. >> Thank you for having me. >> So congratulations on the event,-- >> Yes. >> I'm sure there's a lot of work that went into this thing. >> Just to say the least, yes. >> So in your remarks during the pressor you spent a lot of time talking about the community involvement >> Yes >> I think you said that you guys invested over a million dollars in kind of local community >> Yes >> Types of activity. So highlight a couple of those organizations and why is it important for Alaska to play in the community that has nothing to do with me getting on an airplane and flying to Seatag. >> Ah, well it actually has everything to do with that. For example, last year we partnered up with the San Jose Mayor's office and the San Jose Public Library Foundation to offer the first ever free coding camp for girls. It was a week long coding camp. Parents didn't have to worry about providing breakfast or lunch. We had it all taken care of. Why does it matter to Alaska Airlines? We also need engineers to help create the apps, to help run the planes and it is super important that we have a diverse workforce that represents our community. Whether we fly and all of the focus that are onboard, as well. >> Right, so that's pretty interesting. Cause I don't think most people would think of you doing that, right? That's a little bit outside the seat mile, kind of calculation and really investing in the community. >> Yes >> A lot of conversation too about the investment in this terminal. You guys are at all 3 Bay Area airports thank you very much. I like to be able to hop on a plane if I'm delayed. >> Yeah >> But you guys are making a big investment here at SFO. >> Yes, so actually I will add a couple of things. We actually are at 6 Northern California airports. So in addition to our big Bay Area airports, we have flights out of Santa Rosa, right into wine country, Monterey and Sacramento. >> Flights out of Santa Rosa? >> Yes. You can bring that wine right onboard. Not, not a problem. Which is really exciting. But last week we just announced that we are going to be opening up a San Francisco lounge. 8500 sq ft. in 2020 on the third floor. You'll have stunning views of the runway. It'll be like nothing else. It'll be the highest domestic lounge at SFO. >> Right. I was wondering if you could just talk about, a little bit about, thinking about the entire customer experience. I had really interesting interview at GE Aviation. >> Yes >> Years ago, where even GE was thinking about kind from the time you leave your door at your house to the arrive at your destination, and all kind of that whole experience between. When you guys talk about lounges, and terminals, and gates, you really are trying to take a much more wholistic view then simply the travel of actual miles in the air. >> 100 percent. It is all about the guest experience. We are trying to be your favorite airline. And we have to earn that loyalty. So from the moment that you are thinking about booking the flight, we already want that to be as easy of a process as possible. From the moment that you deplane and get your bags. And hopefully, we are always looking for ways to be innovative. So, you know many years ago, Alaska Airlines was the first ever to have the kiosks and mobile check-in. And we continue to look for ways to be top in the field. And actually in flight, I'm proud to share that we have the most free movies in the sky, of any airlines. All I tend to watch a few of the same movies over and over again But literally you could scroll, scroll, scroll. It goes from A to Z. Most people kind of get stuck in like the Gs. >> They don't make it past the Gs. >> Yeah, but I promise there's some goodies in the back of the alphabet. >> Right, to just kind of close. You know you talk about WiFi, and you talked about movies, about kind of the role of technology and how Alaska continues to be innovative, leveraging technology with that, with the lounge, with the new C configurations. >> Yeah >> How important to you guys to be able to execute your vision. >> So we want to be your top west coast airline. And the west coast is obviously the tech hub of the entire world. So we know that our travelers care very much about technology. So we're looking ways creative, to make sure that everyone has power. As I always say ABC, always be charging. >> Right, right. >> So we want to make sure your tablets, your phone, your laptop is always available to charge. And we are looking for ways to be creative. So, for example, we know that everyone has personal mobile phones or laptops now. And we're looking for ways to make sure we can take advantage of that technology and offer it to you. >> Right. >> I know, number 1, fast WiFi is going to be key to our success. >> Well Annabel, thanks for taking a few minutes. We look forward to getting on the plane here >> Yeah. >> In a few minutes and >> We're going to have some ice cream aren't we. >> Oh we're going to have ice cream? Yes >> Salt and straw, you don't have to wait in line hopefully. >> Yeah, thank you. >> She's Annabel, I'm Jeff >> Thank you. >> You're watching theCube, we're here at SFO, Gate 54B. Soon we'll be at 35,000 feet. Thanks for watching. >> Awesome >> Catch you next time >> (upbeat music)

(upbeat pop music) >> [Narrator] France! It's theCUBE, covering .NEXT Conference 2017 Europe. Brought to you by Nutanix. (upbeat pop music) >> Welcome back, I'm Stu Miniman, and this is theCube. Happy to welcome to the program, first time guest, gonna help me with some analysis of what's been happening here at the show, Keith Humphreys, who is the managing consultant at euroLAN Research. Thanks so much for joining us. >> My pleasure, Stu. >> Alright, so, Keith, you and I were the only analysts at the Vienna show last year, they've grown he analyst program a little bit as, you know, most of us in the community been watching Nutanix for many years. Tell us a little bit about kind of your background, and what specifically you focus on. >> Okay, so, euroLAN is an industry analyst company focused on helping vendors optimize routes to market in Europe. So, we're a channel analyst company founded in '93, in Paris, France, I was employee number five, and we're still about five consultants, and as I say, we're very vendor focused on channels. >> Yeah, well, it goes without saying, in our industry things are changing a lot, but boy, has the channel been changing massively, you know, everything from the impact of service providers to the public cloud. So, let's start kind of at the macro level a little bit. What are some of the big issues? The channels always, you know, we say they're coin operated. Where do they make money, where are they concerned about, what's exciting them these days? >> I think at a macro level what's really exciting, if you look at the book B four B, it describes the risk having gone from corporate back to the vendor. So, before the enterprise used to buy kit, buy stuff, buy products and have to integrate them themselves, take 18 months before they actually got a working product, but in the mean time the vendors had produced the invoice, maybe not even shipped the kit before they could recognize the revenue, now with as-a-service that's totally changed. The risk is gone from the customer, right they way back to the vendor, it's a fascinating point, and the channel's stuck in between here, trying to be the good guys, still trying to integrate that stuff, still trying to produce those solutions, but only getting paid at an annuity revenue model. It's very different. >> Yeah, you know, I was involved in some of the early convergent infrastructure solutions, and you go to some companies and they're like, "We make tons of money racking and stacking and cabling." We're like, "Come on, that's not huge value add, let's help you add more value, get more involved, be more consultative solution-selling and the like." We've only seen that accelerate with the like of hyper converge infrastructure and solutions-as-a-service as you said where sometimes it's just frictionless, just acquire what I need when I need it. How's the channel doing? >> I think the channel's doing okay, but they're in denial, because of this issue. I think if you look at the way Nutanix started as a box provider and now moving to software, some of the channel is really railing against that, and saying, "We still want to do it this way." They're not learning the lesson that they must move to an annuity model basis, because it's a huge business transformation. We jointly run a workshop with IDC to help system integrators make that transition across, and we've only booked through a half a dozen companies for it. They should be knocking our door down to go through this, but they're finding it really hard. >> Alright, so, how's Nutanix doing in the channel? >> So, I think, interestingly, I think it was Chad Sakac of VMware said that they're having to bring out a proof of concept box for vSphere. So they can put that box into customers, so they can try it out. Interesting for a software vendor you're having to package something, so they've gone in that direction. Where as Nutanix are moving in the other direction, going to software only from the box. That's fascinating, but they're trying to drag that channel with them. Are CDW really happy that they're moving to a software-only model? Maybe not. >> Well, look, we've been discussing this week the software-only model, of course, there's still gotta be an appliance somewhere. So, from a channel standpoint, if tomorrow Nutanix says, "Hey, we're only gonna do software and you're gonna do..." does that have a significant impact on the channel, if they now get it if it's a distributor, or some other piece, how much will that impact the channel? >> I think it's going back to the old model of digital days where the channel partner's going back to integrating stuff. Which I think is great news for them, because they can add value, but have they still got the skills? A lot of them have lost those skills, they've been de-franchised or they've de-franchised themselves. >> Yeah, we'll see how that plays out, as to whether it comes in a similar form factor. I don't expect that they're gonna be getting Lego pieces and putting together, it's still mostly gonna be pieces. How 'bout Nutanix's been going a lot of new directions, trying to expand, software-only isn't just about saying, kinda the base stack and AHV, but Zai and calm. Some of these other pieces. Is the channel ready for these kind of things? Does Nutanix have to then do way more of it and the channel's just for filling it? How does that dynamic work? >> I think Nutanix has to go out and create the market. They've got to make end customers aware of this and then the enterprise customers will be asking their channel partners for it so they'll have to get up to speed. You know it's a push and pull model to channel. You can't just push through the channel. I heard someone from Nutanix describe the channel as an extension of their sales force. It's just not. You know computer center's go out and sell computer centers. They don't sell Nutanix. They sell their customer benefit and Nutanix is a small part of that solution. Every project is software based. It's around SAP. It's around Oracle and there's some infrastructure to run it on. It's a small part. >> It's interesting, I got to interview a service provider that has then become a reseller of Nutanix solutions. We sometimes say that service providers are the new channel. How is that dynamic playing out? >> Well, if I was to want infrastructure in our office I wouldn't phone British Telecom for it. (laughs) >> Fair enough. What about, we're talking about the multi cloud world. I've found that there's some systems integrators out there that are offering Azure services, some are engaging AWS has been really good at building out their channel. How's that in Europe these days? How much is the channel engaged in the public cloud? >> We're seeing Amazon with AWS starting to reach out to the channel at long last, with channel programs, channel recruitment. They're not gonna get rich reselling that but they'll get rich by putting the professional services on there. You know, what should I run on here? Is it good for computers? Is it good for scaling? Is it good for additional workloads? They've gotta add professional services but even as we run our workshops we see exactly the same thing. As they move to as-a-service, it might be profitable to a degree but it takes you four or five years to get there. So you've gotta be adding professional services on top of that revenue to maintain it. >> Well, I have to think there's good opportunity there because while there was this promise the future's gonna be simple. Right? Public cloud, it's nice and easy swipe a credit card and good. There's so many features out there. SaaS, anybody's that's used SaaS providers when they really wanna use it there's requirements there. So is the channel stepping up to fill some of that gap or will the Accentures, those kind of consulting come in and take that revenue? >> I think it depends on the company's size. We profiled in our newsletter a small UK company who get digital transformation. This quarter we profiled Accenture. They're both doing the same things, just addressing different parts of the market. I think the other interesting thing is, you mentioned the difficulty, obviously AWS uses its own terminology and it looks very complicated but what I do like is the Nutanix one click based around machine learning. That's really exciting. Sudheesh Nair was just talking about DeepMind's AlphaGo Zero and how it's learned the Chinese Go Program. It self learned that. No one taught that. It actually self learned that. There was an article on the FT which was trying to say this is frightening. It's not frightening if we're gonna move into an IoT age, if we're gonna move into an autonomous car age. We're gonna need software that's written to Sigma Nine not Sigma Six and I think only machines can do that. We're not very good at writing software. >> Keith, what more should Nutanix be doing? What advice do you give them on what they can do to engage even more with the channel? >> They've gotta ramp up the marketing. They've gotta provide the air cover for the channel. They've gotta go out and create the demand, create the awareness. The channel will follow through on that. >> One last question I have for you, what advice do you give to the channel today? For them to stay profitable, stay relevant, in this ever changing future? >> It's professional services and annuity revenue. Days of selling boxes are gone. They'll always be boxes you say but you know, it's pure commodity now. Maybe they should invest in super micro? >> Alright. Well Keith Humphries, pleasure to talk with you again and thank you much for joining us. >> Thanks Stu >> We'll be back with lots more coverage here from Nutanix .Next in Nice, France. You're watching theCube. (upbeat pop music)

>> Announcer: Please welcome Vice President of Worldwide Marketing, Amazon Web Services, Ariel Kelman. (applause) (techno music) >> Good afternoon, everyone. Thank you for coming. I hope you guys are having a great day here. It is my pleasure to introduce to come up on stage here, the CEO of Amazon Web Services, Andy Jassy. (applause) (techno music) >> Okay. Let's get started. I have a bunch of questions here for you, Andy. >> Just like one of our meetings, Ariel. >> Just like one of our meetings. So, I thought I'd start with a little bit of a state of the state on AWS. Can you give us your quick take? >> Yeah, well, first of all, thank you, everyone, for being here. We really appreciate it. We know how busy you guys are. So, hope you're having a good day. You know, the business is growing really quickly. In the last financials, we released, in Q four of '16, AWS is a 14 billion dollar revenue run rate business, growing 47% year over year. We have millions of active customers, and we consider an active customer as a non-Amazon entity that's used the platform in the last 30 days. And it's really a very broad, diverse customer set, in every imaginable size of customer and every imaginable vertical business segment. And I won't repeat all the customers that I know Werner went through earlier in the keynote, but here are just some of the more recent ones that you've seen, you know NELL is moving their their digital and their connected devices, meters, real estate to AWS. McDonalds is re-inventing their digital platform on top of AWS. FINRA is moving all in to AWS, yeah. You see at Reinvent, Workday announced AWS was its preferred cloud provider, and to start building on top of AWS further. Today, in press releases, you saw both Dunkin Donuts and Here, the geo-spatial map company announced they'd chosen AWS as their provider. You know and then I think if you look at our business, we have a really large non-US or global customer base and business that continues to expand very dramatically. And we're also aggressively increasing the number of geographic regions in which we have infrastructure. So last year in 2016, on top of the broad footprint we had, we added Korea, India, and Canada, and the UK. We've announced that we have regions coming, another one in China, in Ningxia, as well as in France, as well as in Sweden. So we're not close to being done expanding geographically. And then of course, we continue to iterate and innovate really quickly on behalf of all of you, of our customers. I mean, just last year alone, we launched what we considered over 1,000 significant services and features. So on average, our customers wake up every day and have three new capabilities they can choose to use or not use, but at their disposal. You've seen it already this year, if you look at Chime, which is our new unified communication service. It makes meetings much easier to conduct, be productive with. You saw Connect, which is our new global call center routing service. If you look even today, you look at Redshift Spectrum, which makes it easy to query all your data, not just locally on disk in your data warehouse but across all of S3, or DAX, which puts a cash in front of DynamoDB, we use the same interface, or all the new features in our machine learning services. We're not close to being done delivering and iterating on your behalf. And I think if you look at that collection of things, it's part of why, as Gartner looks out at the infrastructure space, they estimate the AWS is several times the size business of the next 14 providers combined. It's a pretty significant market segment leadership position. >> You talked a lot about adopts in there, a lot of customers moving to AWS, migrating large numbers of workloads, some going all in on AWS. And with that as kind of backdrop, do you still see a role for hybrid as being something that's important for customers? >> Yeah, it's funny. The quick answer is yes. I think the, you know, if you think about a few years ago, a lot of the rage was this debate about private cloud versus what people call public cloud. And we don't really see that debate very often anymore. I think relatively few companies have had success with private clouds, and most are pretty substantially moving in the direction of building on top of clouds like AWS. But, while you increasingly see more and more companies every month announcing that they're going all in to the cloud, we will see most enterprises operate in some form of hybrid mode for the next number of years. And I think in the early days of AWS and the cloud, I think people got confused about this, where they thought that they had to make this binary decision to either be all in on the public cloud and AWS or not at all. And of course that's not the case. It's not a binary decision. And what we know many of our enterprise customers want is they want to be able to run the data centers that they're not ready to retire yet as seamlessly as they can alongside of AWS. And it's why we've built a lot of the capabilities we've built the last several years. These are things like PPC, which is our virtual private cloud, which allows you to cordon off a portion of our network, deploy resources into it and connect to it through VPN or Direct Connect, which is a private connection between your data centers and our regions or our storage gateway, which is a virtual storage appliance, or Identity Federation, or a whole bunch of capabilities like that. But what we've seen, even though the vast majority of the big hybrid implementations today are built on top of AWS, as more and more of the mainstream enterprises are now at the point where they're really building substantial cloud adoption plans, they've come back to us and they've said, well, you know, actually you guys have made us make kind of a binary decision. And that's because the vast majority of the world is virtualized on top of VMWare. And because VMWare and AWS, prior to a few months ago, had really done nothing to try and make it easy to use the VMWare tools that people have been using for many years seamlessly with AWS, customers were having to make a binary choice. Either they stick with the VMWare tools they've used for a while but have a really tough time integrating with AWS, or they move to AWS and they have to leave behind the VMWare tools they've been using. And it really was the impetus for VMWare and AWS to have a number of deep conversations about it, which led to the announcement we made late last fall of VMWare and AWS, which is going to allow customers who have been using the VMWare tools to manage their infrastructure for a long time to seamlessly be able to run those on top of AWS. And they get to do so as they move workloads back and forth and they evolve their hybrid implementation without having to buy any new hardware, which is a big deal for companies. Very few companies are looking to find ways to buy more hardware these days. And customers have been very excited about this prospect. We've announced that it's going to be ready in the middle of this year. You see companies like Amadeus and Merck and Western Digital and the state of Louisiana, a number of others, we've a very large, private beta and preview happening right now. And people are pretty excited about that prospect. So we will allow customers to run in the mode that they want to run, and I think you'll see a huge transition over the next five to 10 years. >> So in addition to hybrid, another question we get a lot from enterprises around the concept of lock-in and how they should think about their relationship with the vendor and how they should think about whether to spread the workloads across multiple infrastructure providers. How do you think about that? >> Well, it's a question we get a lot. And Oracle has sure made people care about that issue. You know, I think people are very sensitive about being locked in, given the experience that they've had over the last 10 to 15 years. And I think the reality is when you look at the cloud, it really is nothing like being locked into something like Oracle. The APIs look pretty similar between the various providers. We build an open standard, it's like Linux and MySQL and Postgres. All the migration tools that we build allow you to migrate in or out of AWS. It's up to customers based on how they want to run their workload. So it is much easier to move away from something like the cloud than it is from some of the old software services that has created some of this phobia. But I think when you look at most CIOs, enterprise CIOs particularly, as they think about moving to the cloud, many of them started off thinking that they, you know, very well might split their workloads across multiple cloud providers. And I think when push comes to shove, very few decide to do so. Most predominately pick an infrastructure provider to run their workloads. And the reason that they don't split it across, you know, pretty evenly across clouds is a few reasons. Number one, if you do so, you have to standardize in the lowest common denominator. And these platforms are in radically different stages at this point. And if you look at something like AWS, it has a lot more functionality than anybody else by a large margin. And we're also iterating more quickly than you'll find from the other providers. And most folks don't want to tie the hands of their developers behind their backs in the name of having the ability of splitting it across multiple clouds, cause they actually are, in most of their spaces, competitive, and they have a lot of ideas that they want to actually build and invent on behalf of their customers. So, you know, they don't want to actually limit their functionality. It turns out the second reason is that they don't want to force their development teams to have to learn multiple platforms. And most development teams, if any of you have managed multiple stacks across different technologies, and many of us have had that experience, it's a pain in the butt. And trying to make a shift from what you've been doing for the last 30 years on premises to the cloud is hard enough. But then forcing teams to have to get good at running across two or three platforms is something most teams don't relish, and it's wasteful of people's time, it's wasteful of natural resources. That's the second thing. And then the third reason is that you effectively diminish your buying power because all of these cloud providers have volume discounts, and then you're splitting what you buy across multiple providers, which gives you a lower amount you buy from everybody at a worse price. So when most CIOs and enterprises look at this carefully, they don't actually end up splitting it relatively evenly. They predominately pick a cloud provider. Some will just pick one. Others will pick one and then do a little bit with a second, just so they know they can run with a second provider, in case that relationship with the one they choose to predominately run with goes sideways in some fashion. But when you really look at it, CIOs are not making that decision to split it up relatively evenly because it makes their development teams much less capable and much less agile. >> Okay, let's shift gears a little bit, talk about a subject that's on the minds of not just enterprises but startups and government organizations and pretty much every organization we talk to. And that's AI and machine learning. Reinvent, we introduced our Amazon AI services and just this morning Werner announced the general availability of Amazon Lex. So where are we overall on machine learning? >> Well it's a hugely exciting opportunity for customers, and I think, we believe it's exciting for us as well. And it's still in the relatively early stages, if you look at how people are using it, but it's something that we passionately believe is going to make a huge difference in the world and a huge difference with customers, and that we're investing a pretty gigantic amount of resource and capability for our customers. And I think the way that we think about, at a high level, the machine learning and deep learning spaces are, you know, there's kind of three macro layers of the stack. I think at that bottom layer, it's generally for the expert machine learning practitioners, of which there are relatively few in the world. It's a scarce resource relative to what I think will be the case in five, 10 years from now. And these are folks who are comfortable working with deep learning engines, know how to build models, know how to tune those models, know how to do inference, know how to get that data from the models into production apps. And for that group of people, if you look at the vast majority of machine learning and deep learning that's being done in the cloud today, it's being done on top of AWS, are P2 instances, which are optimized for deep learning and our deep learning AMIs, that package, effectively the deep learning engines and libraries inside those AMIs. And you see companies like Netflix, Nvidia, and Pinterest and Stanford and a whole bunch of others that are doing significant amounts of machine learning on top of those optimized instances for machine learning and the deep learning AMIs. And I think that you can expect, over time, that we'll continue to build additional capabilities and tools for those expert practitioners. I think we will support and do support every single one of the deep learning engines on top of AWS, and we have a significant amount of those workloads with all those engines running on top of AWS today. We also are making, I would say, a disproportionate investment of our own resources and the MXNet community just because if you look at running deep learning models once you get beyond a few GPUs, it's pretty difficult to have those scale as you get into the hundreds of GPUs. And most of the deep learning engines don't scale very well horizontally. And so what we've found through a lot of extensive testing, cause remember, Amazon has thousands of deep learning experts inside the company that have built very sophisticated deep learning capabilities, like the ones you see in Alexa, we have found that MXNet scales the best and almost linearly, as we continue to add nodes, as we continue to horizontally scale. So we have a lot of investment at that bottom layer of the stack. Now, if you think about most companies with developers, it's still largely inaccessible to them to do the type of machine learning and deep learning that they'd really like to do. And that's because the tools, I think, are still too primitive. And there's a number of services out there, we built one ourselves in Amazon Machine Learning that we have a lot of customers use, and yet I would argue that all of those services, including our own, are still more difficult than they should be for everyday developers to be able to build machine learning and access machine learning and deep learning. And if you look at the history of what AWS has done, in every part of our business, and a lot of what's driven us, is trying to democratize technologies that were really only available and accessible before to a select, small number of companies. And so we're doing a lot of work at what I would call that middle layer of the stack to get rid of a lot of the muck associated with having to do, you know, building the models, tuning the models, doing the inference, figuring how to get the data into production apps, a lot of those capabilities at that middle layer that we think are really essential to allow deep learning and machine learning to reach its full potential. And then at the top layer of the stack, we think of those as solutions. And those are things like, pass me an image and I'll tell you what that image is, or show me this face, does it match faces in this group of faces, or pass me a string of text and I'll give you an mpg file, or give me some words and what your intent is and then I'll be able to return answers that allow people to build conversational apps like the Lex technology. And we have a whole bunch of other services coming in that area, atop of Lex and Polly and Recognition, and you can imagine some of those that we've had to use in Amazon over the years that we'll continue to make available for you, our customers. So very significant level of investment at all three layers of that stack. We think it's relatively early days in the space but have a lot of passion and excitement for that. >> Okay, now for ML and AI, we're seeing customers wanting to load in tons of data, both to train the models and to actually process data once they've built their models. And then outside of ML and AI, we're seeing just as much demand to move in data for analytics and traditional workloads. So as people are looking to move more and more data to the cloud, how are we thinking about making it easier to get data in? >> It's a great question. And I think it's actually an often overlooked question because a lot of what gets attention with customers is all the really interesting services that allow you to do everything from compute and storage and database and messaging and analytics and machine learning and AI. But at the end of the day, if you have a significant amount of data already somewhere else, you have to get it into the cloud to be able to take advantage of all these capabilities that you don't have on premises. And so we have spent a disproportionate amount of focus over the last few years trying to build capabilities for our customers to make this easier. And we have a set of capabilities that really is not close to matched anywhere else, in part because we have so many customers who are asking for help in this area that it's, you know, that's really what drives what we build. So of course, you could use the good old-fashioned wire to send data over the internet. Increasingly, we find customers that are trying to move large amounts of data into S3, is using our S3 transfer acceleration service, which basically uses our points of presence, or POPs, all over the world to expedite delivery into S3. You know, a few years ago, we were talking to a number of companies that were looking to make big shifts to the cloud, and they said, well, I need to move lots of data that just isn't viable for me to move it over the wire, given the connection we can assign to it. It's why we built Snowball. And so we launched Snowball a couple years ago, which is really, it's a 50 terabyte appliance that is encrypted, the data's encrypted three different ways, and you ingest the data from your data center into Snowball, it has a Kindle connected to it, it allows you to, you know, that makes sure that you send it to the right place, and you can also track the progress of your high-speed ingestion into our data centers. And when we first launched Snowball, we launched it at Reinvent a couple years ago, I could not believe that we were going to order as many Snowballs to start with as the team wanted to order. And in fact, I reproached the team and I said, this is way too much, why don't we first see if people actually use any of these Snowballs. And so the team thankfully didn't listen very carefully to that, and they really only pared back a little bit. And then it turned out that we, almost from the get-go, had ordered 10X too few. And so this has been something that people have used in a very broad, pervasive way all over the world. And last year, at the beginning of the year, as we were asking people what else they would like us to build in Snowball, customers told us a few things that were pretty interesting to us. First, one that wasn't that surprising was they said, well, it would be great if they were bigger, you know, if instead of 50 terabytes it was more data I could store on each device. Then they said, you know, one of the problems is when I load the data onto a Snowball and send it to you, I have to still keep my local copy on premises until it's ingested, cause I can't risk losing that data. So they said it would be great if you could find a way to provide clustering, so that I don't have to keep that copy on premises. That was pretty interesting. And then they said, you know, there's some of that data that I'd actually like to be loading synchronously to S3, and then, or some things back from S3 to that data that I may want to compare against. That was interesting, having that endpoint. And then they said, well, we'd really love it if there was some compute on those Snowballs so I can do analytics on some relatively short-term signals that I want to take action on right away. Those were really the pieces of feedback that informed Snowball Edge, which is the next version of Snowball that we launched, announced at Reinvent this past November. So it has, it's a hundred-terabyte appliance, still the same level of encryption, and it has clustering so that you don't have to keep that copy of the data local. It allows you to have an endpoint to S3 to synchronously load data back and forth, and then it has a compute inside of it. And so it allows customers to use these on premises. I'll give you a good example. GE is using these for their wind turbines. And they collect all kinds of data from those turbines, but there's certain short-term signals they want to do analytics on in as close to real time as they can, and take action on those. And so they use that compute to do the analytics and then when they fill up that Snowball Edge, they detach it and send it back to AWS to do broad-scale analytics in the cloud and then just start using an additional Snowball Edge to capture that short-term data and be able to do those analytics. So Snowball Edge is, you know, we just launched it a couple months ago, again, amazed at the type of response, how many customers are starting to deploy those all over the place. I think if you have exabytes of data that you need to move, it's not so easy. An exabyte of data, if you wanted to move from on premises to AWS, would require 10,000 Snowball Edges. Those customers don't want to really manage a fleet of 10,000 Snowball Edges if they don't have to. And so, we tried to figure out how to solve that problem, and it's why we launched Snowmobile back at Reinvent in November, which effectively, it's a hundred-petabyte container on a 45-foot trailer that we will take a truck and bring out to your facility. It comes with its own power and its own network fiber that we plug in to your data center. And if you want to move an exabyte of data over a 10 gigabit per second connection, it would take you 26 years. But using 10 Snowmobiles, it would take you six months. So really different level of scale. And you'd be surprised how many companies have exabytes of data at this point that they want to move to the cloud to get all those analytics and machine learning capabilities running on top of them. Then for streaming data, as we have more and more companies that are doing real-time analytics of streaming data, we have Kinesis, where we built something called the Kinesis Firehose that makes it really simple to stream all your real-time data. We have a storage gateway for companies that want to keep certain data hot, locally, and then asynchronously be loading the rest of their data to AWS to be able to use in different formats, should they need it as backup or should they choose to make a transition. So it's a very broad set of storage capabilities. And then of course, if you've moved a lot of data into the cloud or into anything, you realize that one of the hardest parts that people often leave to the end is ETL. And so we have announced an ETL service called Glue, which we announced at Reinvent, which is going to make it much easier to move your data, be able to find your data and map your data to different locations and do ETL, which of course is hugely important as you're moving large amounts. >> So we've talked a lot about moving things to the cloud, moving applications, moving data. But let's shift gears a little bit and talk about something not on the cloud, connected devices. >> Yeah. >> Where do they fit in and how do you think about edge? >> Well, you know, I've been working on AWS since the start of AWS, and we've been in the market for a little over 11 years at this point. And we have encountered, as I'm sure all of you have, many buzzwords. And of all the buzzwords that everybody has talked about, I think I can make a pretty strong argument that the one that has delivered fastest on its promise has been IOT and connected devices. Just amazing to me how much is happening at the edge today and how fast that's changing with device manufacturers. And I think that if you look out 10 years from now, when you talk about hybrid, I think most companies, majority on premise piece of hybrid will not be servers, it will be connected devices. There are going to be billions of devices all over the place, in your home, in your office, in factories, in oil fields, in agricultural fields, on ships, in cars, in planes, everywhere. You're going to have these assets that sit at the edge that companies are going to want to be able to collect data on, do analytics on, and then take action. And if you think about it, most of these devices, by their very nature, have relatively little CPU and have relatively little disk, which makes the cloud disproportionately important for them to supplement them. It's why you see most of the big, successful IOT applications today are using AWS to supplement them. Illumina has hooked up their genome sequencing to AWS to do analytics, or you can look at Major League Baseball Statcast is an IOT application built on top of AWS, or John Deer has over 200,000 telematically enabled tractors that are collecting real-time planting conditions and information that they're doing analytics on and sending it back to farmers so they can figure out where and how to optimally plant. Tata Motors manages their truck fleet this way. Phillips has their smart lighting project. I mean, there're innumerable amounts of these IOT applications built on top of AWS where the cloud is supplementing the device's capability. But when you think about these becoming more mission-critical applications for companies, there are going to be certain functions and certain conditions by which they're not going to want to connect back to the cloud. They're not going to want to take the time for that round trip. They're not going to have connectivity in some cases to be able to make a round trip to the cloud. And what they really want is customers really want the same capabilities they have on AWS, with AWS IOT, but on the devices themselves. And if you've ever tried to develop on these embedded devices, it's not for mere mortals. It's pretty delicate and it's pretty scary and there's a lot of archaic protocols associated with it, pretty tough to do it all and to do it without taking down your application. And so what we did was we built something called Greengrass, and we announced it at Reinvent. And Greengrass is really like a software module that you can effectively have inside your device. And it allows developers to write lambda functions, it's got lambda inside of it, and it allows customers to write lambda functions, some of which they want to run in the cloud, some of which they want to run on the device itself through Greengrass. So they have a common programming model to build those functions, to take the signals they see and take the actions they want to take against that, which is really going to help, I think, across all these IOT devices to be able to be much more flexible and allow the devices and the analytics and the actions you take to be much smarter, more intelligent. It's also why we built Snowball Edge. Snowball Edge, if you think about it, is really a purpose-built Greengrass device. We have Greengrass, it's inside of the Snowball Edge, and you know, the GE wind turbine example is a good example of that. And so it's to us, I think it's the future of what the on-premises piece of hybrid's going to be. I think there're going to be billions of devices all over the place and people are going to want to interact with them with a common programming model like they use in AWS and the cloud, and we're continuing to invest very significantly to make that easier and easier for companies. >> We've talked about several feature directions. We talked about AI, machine learning, the edge. What are some of the other areas of investment that this group should care about? >> Well there's a lot. (laughs) That's not a suit question, Ariel. But there's a lot. I think, I'll name a few. I think first of all, as I alluded to earlier, we are not close to being done expanding geographically. I think virtually every tier-one country will have an AWS region over time. I think many of the emerging countries will as well. I think the database space is an area that is radically changing. It's happening at a faster pace than I think people sometimes realize. And I think it's good news for all of you. I think the database space over the last few decades has been a lonely place for customers. I think that they have felt particularly locked into companies that are expensive and proprietary and have high degrees of lock-in and aren't so customer-friendly. And I think customers are sick of it. And we have a relational database service that we launched many years ago and has many flavors that you can run. You can run MySQL, you can run Postgres, you can run MariaDB, you can run SQLServer, you can run Oracle. And what a lot of our customers kept saying to us was, could you please figure out a way to have a database capability that has the performance characteristics of the commercial-grade databases but the customer-friendly and pricing model of the more open engines like the MySQL and Postgres and MariaDB. What you do on your own, we do a lot of it at Amazon, but it's hard, I mean, it takes a lot of work and a lot of tuning. And our customers really wanted us to solve that problem for them. And it's why we spent several years building Aurora, which is our own database engine that we built, but that's fully compatible with MySQL and with Postgres. It's at least as fault tolerant and durable and performant as the commercial-grade databases, but it's a tenth of the cost of those. And it's also nice because if it turns out that you use Aurora and you decide for whatever reason you don't want to use Aurora anymore, because it's fully compatible with MySQL and Postgres, you just dump it to the community versions of those, and off you are. So there's really hardly any transition there. So that is the fastest-growing service in the history of AWS. I'm amazed at how quickly it's grown. I think you may have heard earlier, we've had 23,000 database migrations just in the last year or so. There's a lot of pent-up demand to have database freedom. And we're here to help you have it. You know, I think on the analytic side, it's just never been easier and less expensive to collect, store, analyze, and share data than it is today. Part of that has to do with the economics of the cloud. But a lot of it has to do with the really broad analytics capability that we provide you. And it's a much broader capability than you'll find elsewhere. And you know, you can manage Hadoop and Spark and Presto and Hive and Pig and Yarn on top of AWS, or we have a managed elastic search service, and you know, of course we have a very high scale, very high performing data warehouse in Redshift, that just got even more performant with Spectrum, which now can query across all of your S3 data, and of course you have Athena, where you can query S3 directly. We have a service that allows you to do real-time analytics of streaming data in Kinesis. We have a business intelligence service in QuickSight. We have a number of machine learning capabilities I talked about earlier. It's a very broad array. And what we find is that it's a new day in analytics for companies. A lot of the data that companies felt like they had to throw away before, either because it was too expensive to hold or they didn't really have the tools accessible to them to get the learning from that data, it's a totally different day today. And so we have a pretty big investment in that space, I mentioned Glue earlier to do ETL on all that data. We have a lot more coming in that space. I think compute, super interesting, you know, I think you will find, I think we will find that companies will use full instances for many, many years and we have, you know, more than double the number of instances than you'll find elsewhere in every imaginable shape and size. But I would also say that the trend we see is that more and more companies are using smaller units of compute, and it's why you see containers becoming so popular. We have a really big business in ECS. And we will continue to build out the capability there. We have companies really running virtually every type of container and orchestration and management service on top of AWS at this point. And then of course, a couple years ago, we pioneered the event-driven serverless capability in compute that we call Lambda, which I'm just again, blown away by how many customers are using that for everything, in every way. So I think the basic unit of compute is continuing to get smaller. I think that's really good for customers. I think the ability to be serverless is a very exciting proposition that we're continuing to to fulfill that vision that we laid out a couple years ago. And then, probably, the last thing I'd point out right now is, I think it's really interesting to see how the basic procurement of software is changing. In significant part driven by what we've been doing with our Marketplace. If you think about it, in the old world, if you were a company that was buying software, you'd have to go find bunch of the companies that you should consider, you'd have to have a lot of conversations, you'd have to talk to a lot of salespeople. Those companies, by the way, have to have a big sales team, an expensive marketing budget to go find those companies and then go sell those companies and then both companies engage in this long tap-dance around doing an agreement and the legal terms and the legal teams and it's just, the process is very arduous. Then after you buy it, you have to figure out how you're going to actually package it, how you're deploy to infrastructure and get it done, and it's just, I think in general, both consumers of software and sellers of software really don't like the process that's existed over the last few decades. And then you look at AWS Marketplace, and we have 35 hundred product listings in there from 12 hundred technology providers. If you look at the number of hours, that software that's been running EC2 just in the last month alone, it's several hundred million hours, EC2 hours, of that software being run on top of our Marketplace. And it's just completely changing how software is bought and procured. I think that if you talk to a lot of the big sellers of software, like Splunk or Trend Micro, there's a whole number of them, they'll tell you it totally changes their ability to be able to sell. You know, one of the things that really helped AWS in the early days and still continues to help us, is that we have a self-service model where we don't actually have to have a lot of people talk to every customer to get started. I think if you're a seller of software, that's very appealing, to allow people to find your software and be able to buy it. And if you're a consumer, to be able to buy it quickly, again, without the hassle of all those conversations and the overhead associated with that, very appealing. And I think it's why the marketplace has just exploded and taken off like it has. It's also really good, by the way, for systems integrators, who are often packaging things on top of that software to their clients. This makes it much easier to build kind of smaller catalogs of software products for their customers. I think when you layer on top of that the capabilities that we've announced to make it easier for SASS providers to meter and to do billing and to do identity is just, it's a very different world. And so I think that also is very exciting, both for companies and customers as well as software providers. >> We certainly touched on a lot here. And we have a lot going on, and you know, while we have customers asking us a lot about how they can use all these new services and new features, we also tend to get a lot of questions from customers on how we innovate so quickly, and they can think about applying some of those lessons learned to their own businesses. >> So you're asking how we're able to innovate quickly? >> Mmm hmm. >> I think there's a few things that have helped us, and it's different for every company. But some of these might be helpful. I'll point to a few. I think the first thing is, I think we disproportionately index on hiring builders. And we think of builders as people who are inventors, people who look at different customer experiences really critically, are honest about what's flawed about them, and then seek to reinvent them. And then people who understand that launch is the starting line and not the finish line. There's very little that any of us ever built that's a home run right out of the gate. And so most things that succeed take a lot of listening to customers and a lot of experimentation and a lot of iterating before you get to an equation that really works. So the first thing is who we hire. I think the second thing is how we organize. And we have, at Amazon, long tried to organize into as small and separable and autonomous teams as we can, that have all the resources in those teams to own their own destiny. And so for instance, the technologists and the product managers are part of the same team. And a lot of that is because we don't want the finger pointing that goes back and forth between the teams, and if they're on the same team, they focus all their energy on owning it together and understanding what customers need from them, spending a disproportionate amount of time with customers, and then they get to own their own roadmaps. One of the reasons we don't publish a 12 to 18 month roadmap is we want those teams to have the freedom, in talking to customers and listening to what you tell us matters, to re-prioritize if there are certain things that we assumed mattered more than it turns out it does. So, you know I think that the way that we organize is the second piece. I think a third piece is all of our teams get to use the same AWS building blocks that all of you get to use, which allow you to move much more quickly. And I think one of the least told stories about Amazon over the last five years, in part because people have gotten interested in AWS, is people have missed how fast our consumer business at Amazon has iterated. Look at the amount of invention in Amazon's consumer business. And they'll tell you that a big piece of that is their ability to use the AWS building blocks like they do. I think a fourth thing is many big companies, as they get larger, what starts to happen is what people call the institutional no, which is that leaders walk into meetings on new ideas looking to find ways to say no, and not because they're ill intended but just because they get more conservative or they have a lot on their plate or things are really managed very centrally, so it's hard to imagine adding more to what you're already doing. At Amazon, it's really the opposite, and in part because of the way we're organized in such a decoupled, decentralized fashion, and in part because it's just part of our DNA. When the leaders walk into a meeting, they are looking for ways to say yes. And we don't say yes to everything, we have a lot of proposals. But we say yes to a lot more than I think virtually any other company on the planet. And when we're having conversations with builders who are proposing new ideas, we're in a mode where we're trying to problem-solve with them to get to yes, which I think is really different. And then I think the last thing is that we have mechanisms inside the company that allow us to make fast decisions. And if you want a little bit more detail, you should read our founder and CEO Jeff Bezos's shareholder letter, which just was released. He talks about the fast decision-making that happens inside the company. It's really true. We make fast decisions and we're willing to fail. And you know, we sometimes talk about how we're working on several of our next biggest failures, and we hope that most of the things we're doing aren't going to fail, but we know, if you're going to push the envelope and if you're going to experiment at the rate that we're trying to experiment, to find more pillars that allow us to do more for customers and allow us to be more relevant, you are going to fail sometimes. And you have to accept that, and you have to have a way of evaluating people that recognizes the inputs, meaning the things that they actually delivered as opposed to the outputs, cause on new ventures, you don't know what the outputs are going to be, you don't know consumers or customers are going to respond to the new thing you're trying to build. So you have to be able to reward employees on the inputs, you have to have a way for them to continue to progress and grow in their career even if they work on something didn't work. And you have to have a way of thinking about, when things don't work, how do I take the technology that I built as part of that, that really actually does work, but I didn't get it right in the form factor, and use it for other things. And I think that when you think about a culture like Amazon, that disproportionately hires builders, organizes into these separable, autonomous teams, and allows them to use building blocks to move fast, and has a leadership team that's looking to say yes to ideas and is willing to fail, you end up finding not only do you do more inventing but you get the people at every level of the organization spending their free cycles thinking about new ideas because it actually pays to think of new ideas cause you get a shot to try it. And so that has really helped us and I think most of our customers who have made significant shifts to AWS and the cloud would argue that that's one of the big transformational things they've seen in their companies as well. >> Okay. I want to go a little bit deeper on the subject of culture. What are some of the things that are most unique about the AWS culture that companies should know about when they're looking to partner with us? >> Well, I think if you're making a decision on a predominant infrastructure provider, it's really important that you decide that the culture of the company you're going to partner with is a fit for yours. And you know, it's a super important decision that you don't want to have to redo multiple times cause it's wasted effort. And I think that, look, I've been at Amazon for almost 20 years at this point, so I have obviously drank the Kool Aid. But there are a few things that I think are truly unique about Amazon's culture. I'll talk about three of them. The first is I think that we are unusually customer-oriented. And I think a lot of companies talk about being customer-oriented, but few actually are. I think most of the big technology companies truthfully are competitor-focused. They kind of look at what competitors are doing and then they try to one-up one another. You have one or two of them that I would say are product-focused, where they say, hey, it's great, you Mr. and Mrs. Customer have ideas on a product, but leave that to the experts, and you know, you'll like the products we're going to build. And those strategies can be good ones and successful ones, they're just not ours. We are driven by what customers tell us matters to them. We don't build technology for technology's sake, we don't become, you know, smitten by any one technology. We're trying to solve real problems for our customers. 90% of what we build is driven by what you tell us matters. And the other 10% is listening to you, and even if you can't articulate exactly what you want, trying to read between the lines and invent on your behalf. So that's the first thing. Second thing is that we are pioneers. We really like to invent, as I was talking about earlier. And I think most big technology companies at this point have either lost their will or their DNA to invent. Most of them acquire it or fast follow. And again, that can be a successful strategy. It's just not ours. I think in this day and age, where we're going through as big a shift as we are in the cloud, which is the biggest technology shift in our lifetime, as dynamic as it is, being able to partner with a company that has the most functionality, it's iterating the fastest, has the most customers, has the largest ecosystem of partners, has SIs and ISPs, that has had a vision for how all these pieces fit together from the start, instead of trying to patch them together in a following act, you have a big advantage. I think that the third thing is that we're unusually long-term oriented. And I think that you won't ever see us show up at your door the last day of a quarter, the last day of a year, trying to harass you into doing some kind of deal with us, not to be heard from again for a couple years when we either audit you or try to re-up you for a deal. That's just not the way that we will ever operate. We are trying to build a business, a set of relationships, that will outlast all of us here. And I think something that always ties it together well is this trusted advisor capability that we have inside our support function, which is, you know, we look at dozens of programmatic ways that our customers are using the platform and reach out to you if you're doing something we think's suboptimal. And one of the things we do is if you're not fully utilizing resources, or hardly, or not using them at all, we'll reach out and say, hey, you should stop paying for this. And over the last couple of years, we've sent out a couple million of these notifications that have led to actual annualized savings for customers of 350 million dollars. So I ask you, how many of your technology partners reach out to you and say stop spending money with us? To the tune of 350 million dollars lost revenue per year. Not too many. And I think when we first started doing it, people though it was gimmicky, but if you understand what I just talked about with regard to our culture, it makes perfect sense. We don't want to make money from customers unless you're getting value. We want to reinvent an experience that we think has been broken for the prior few decades. And then we're trying to build a relationship with you that outlasts all of us, and we think the best way to do that is to provide value and do right by customers over a long period of time. >> Okay, keeping going on the culture subject, what about some of the quirky things about Amazon's culture that people might find interesting or useful? >> Well there are a lot of quirky parts to our culture. And I think any, you know lots of companies who have strong culture will argue they have quirky pieces but I think there's a few I might point to. You know, I think the first would be the first several years I was with the company, I guess the first six years or so I was at the company, like most companies, all the information that was presented was via PowerPoint. And we would find that it was a very inefficient way to consume information. You know, you were often shaded by the charisma of the presenter, sometimes you would overweight what the presenters said based on whether they were a good presenter. And vice versa. You would very rarely have a deep conversation, cause you have no room on PowerPoint slides to have any depth. You would interrupt the presenter constantly with questions that they hadn't really thought through cause they didn't think they were going to have to present that level of depth. You constantly have the, you know, you'd ask the question, oh, I'm going to get to that in five slides, you want to do that now or you want to do that in five slides, you know, it was just maddening. And we would often find that most of the meetings required multiple meetings. And so we made a decision as a company to effectively ban PowerPoints as a communication vehicle inside the company. Really the only time I do PowerPoints is at Reinvent. And maybe that shows. And what we found is that it's a much more substantive and effective and time-efficient way to have conversations because there is no way to fake depth in a six-page narrative. So what we went to from PowerPoint was six-page narrative. You can write, have as much as you want in the appendix, but you have to assume nobody will read the appendices. Everything you have to communicate has to be done in six pages. You can't fake depth in a six-page narrative. And so what we do is we all get to the room, we spend 20 minutes or so reading the document so it's fresh in everybody's head. And then where we start the conversation is a radically different spot than when you're hearing a presentation one kind of shallow slide at a time. We all start the conversation with a fair bit of depth on the topic, and we can really hone in on the three or four issues that typically matter in each of these conversations. So we get to the heart of the matter and we can have one meeting on the topic instead of three or four. So that has been really, I mean it's unusual and it takes some time getting used to but it is a much more effective way to pay attention to the detail and have a substantive conversation. You know, I think a second thing, if you look at our working backwards process, we don't write a lot of code for any of our services until we write and refine and decide we have crisp press release and frequently asked question, or FAQ, for that product. And in the press release, what we're trying to do is make sure that we're building a product that has benefits that will really matter. How many times have we all gotten to the end of products and by the time we get there, we kind of think about what we're launching and think, this is not that interesting. Like, people are not going to find this that compelling. And it's because you just haven't thought through and argued and debated and made sure that you drew the line in the right spot on a set of benefits that will really matter to customers. So that's why we use the press release. The FAQ is to really have the arguments up front about how you're building the product. So what technology are you using? What's the architecture? What's the customer experience? What's the UI look like? What's the pricing dimensions? Are you going to charge for it or not? All of those decisions, what are people going to be most excited about, what are people going to be most disappointed by. All those conversations, if you have them up front, even if it takes you a few times to go through it, you can just let the teams build, and you don't have to check in with them except on the dates. And so we find that if we take the time up front we not only get the products right more often but the teams also deliver much more quickly and with much less churn. And then the third thing I'd say that's kind of quirky is it is an unusually truth-seeking culture at Amazon. I think we have a leadership principle that we say have backbone, disagree, and commit. And what it means is that we really expect people to speak up if they believe that we're headed down a path that's wrong for customers, no matter who is advancing it, what level in the company, everybody is empowered and expected to speak up. And then once we have the debate, then we all have to pull the same way, even if it's a different way than you were advocating. And I think, you always hear the old adage of where, two people look at a ceiling and one person says it's 14 feet and the other person says, it's 10 feet, and they say, okay let's compromise, it's 12 feet. And of course, it's not 12 feet, there is an answer. And not all things that we all consider has that black and white answer, but most things have an answer that really is more right if you actually assess it and debate it. And so we have an environment that really empowers people to challenge one another and I think it's part of why we end up getting to better answers, cause we have that level of openness and rigor. >> Okay, well Andy, we have time for one more question. >> Okay. >> So other than some of the things you've talked about, like customer focus, innovation, and long-term orientation, what is the single most important lesson that you've learned that is really relevant to this audience and this time we're living in? >> There's a lot. But I'll pick one. I would say I'll tell a short story that I think captures it. In the early days at Amazon, our sole business was what we called an owned inventory retail business, which meant we bought the inventory from distributors or publishers or manufacturers, stored it in our own fulfillment centers and shipped it to customers. And around the year 1999 or 2000, this third party seller model started becoming very popular. You know, these were companies like Half.com and eBay and folks like that. And we had a really animated debate inside the company about whether we should allow third party sellers to sell on the Amazon site. And the concerns internally were, first of all, we just had this fundamental belief that other sellers weren't going to care as much about the customer experience as we did cause it was such a central part of everything we did DNA-wise. And then also we had this entire business and all this machinery that was built around owned inventory business, with all these relationships with publishers and distributors and manufacturers, who we didn't think would necessarily like third party sellers selling right alongside us having bought their products. And so we really debated this, and we ultimately decided that we were going to allow third party sellers to sell in our marketplace. And we made that decision in part because it was better for customers, it allowed them to have lower prices, so more price variety and better selection. But also in significant part because we realized you can't fight gravity. If something is going to happen, whether you want it to happen or not, it is going to happen. And you are much better off cannibalizing yourself or being ahead of whatever direction the world is headed than you are at howling at the wind or wishing it away or trying to put up blockers and find a way to delay moving to the model that is really most successful and has the most amount of benefits for the customers in question. And that turned out to be a really important lesson for Amazon as a company and for me, personally, as well. You know, in the early days of doing Marketplace, we had all kinds of folks, even after we made the decision, that despite the have backbone, disagree and commit weren't really sure that they believed that it was going to be a successful decision. And it took several months, but thankfully we really were vigilant about it, and today in roughly half of the units we sell in our retail business are third party seller units. Been really good for our customers. And really good for our business as well. And I think the same thing is really applicable to the space we're talking about today, to the cloud, as you think about this gigantic shift that's going on right now, moving to the cloud, which is, you know, I think in the early days of the cloud, the first, I'll call it six, seven, eight years, I think collectively we consumed so much energy with all these arguments about are people going to move to the cloud, what are they going to move to the cloud, will they move mission-critical applications to the cloud, will the enterprise adopt it, will public sector adopt it, what about private cloud, you know, we just consumed a huge amount of energy and it was, you can see both in the results in what's happening in businesses like ours, it was a form of fighting gravity. And today we don't really have if conversations anymore with our customers. They're all when and how and what order conversations. And I would say that this going to be a much better world for all of us, because we will be able to build in a much more cost effective fashion, we will be able to build much more quickly, we'll be able to take our scarce resource of engineers and not spend their resource on the undifferentiated heavy lifting of infrastructure and instead on what truly differentiates your business. And you'll have a global presence, so that you have lower latency and a better end user customer experience being deployed with your applications and infrastructure all over the world. And you'll be able to meet the data sovereignty requirements of various locales. So I think it's a great world that we're entering right now, I think we're at a time where there's a lot less confusion about where the world is headed, and I think it's an unprecedented opportunity for you to reinvent your businesses, reinvent your applications, and build capabilities for your customers and for your business that weren't easily possible before. And I hope you take advantage of it, and we'll be right here every step of the way to help you. Thank you very much. I appreciate it. (applause) >> Thank you, Andy. And thank you, everyone. I appreciate your time today. >> Thank you. (applause) (upbeat music)