>>Hey everyone, it's Vegas. Welcome back. We know you've been watching all day. We appreciate that. We always love being able to bring you some great content on the Cube Live from AWS Reinvented 22. Lisa Martin here with Paul Gill. And Paul, we've had such a great event. We've, I think we've done nearly 70 interviews since we started on the Cube on >>Monday night. I believe we just hit 70. Yeah, we just hit 70. You must feel like you've done half of >>Them. I really do. But we've been having great conversations. There's so much innovation going on at aws. Nothing slowed them down during the pandemic. We love also talking about the innovation, the flywheel that is their partner ecosystem. We're gonna have a great conversation about that >>Next. And as we've said, going back to day one, the energy of the show is remarkable. And here we are, we're getting late in the afternoon on day two, and there's just as much activity, just as much energy out there as, as the beginning of the first day. I have no doubt day three will be the >>Same. I agree. There's been no slowdown. We've got two guests here. We're gonna have a great conversation. Chuck Kubota joins us, senior Director of Cloud Services, GTM at Red Hat. Great to have you on the program. And Ted Stanton, global head of Sales, red Hat at IBM at aws. Welcome. >>Thanks for having us. >>How's the show going so far for you guys? >>It's a blur. Is it? Oh my gosh. >>Don't they all >>Blur? Well, yes, yes. I actually like last year a bit better. It was half the size. Yeah. And a lot easier to get around, but this is back to normal, so >>It is back to normal. Yeah. And and Ted, we're hearing north of 50,000 in-person attendees. I heard a, something I think was published. I heard the second hand over like 300,000 online attendees. This is maybe the biggest one we ever had. >>Yeah, yeah, I would agree. And frankly, it's my first time here, so I am massively impressed with the overall show, the meeting with partners, the meeting with customers, the announcements that were made, just fantastic. And >>If you remember back to two years ago, there were a lot of questions about whether in-person conferences would ever return and the volume that we used to see them. And that appears to be >>The case. I think we, I think we've answered, I think AWS has answered that for us, which I'm very pleased to see. Talk about some of those announcements. Ted. There's been so much that that's always one of the things we know and love about re men is there's slew of announcements. You were saying this morning, Paul, and then keynote, you lost, you stopped counting after I >>Lost 15, I lost count for 15. I think it was over 30 announcements this morning alone >>Where IBM and Red Hat are concern. What are some of the things that you are excited about in terms of some of the news, the innovation, and where the partnership is going? >>Well, definitely where the partnership is going, and I think even as we're speaking right now, is a keynote going on with Aruba, talking about some of the partners and the way in which we support partners and the new technologies and the new abilities for partners to take advantage of these technologies to frankly delight our customers is really what most excites me. >>Chuck, what about you? What's going on with Red Hat? You've been there a long time. Sales, everything, picking up customers, massively transforming. What are some of the things that you're seeing and that you're excited >>About? Yeah, I mean, first of all, you know, as customers have, you know, years ago discovered it's not competitively advantageous to manage their own data centers in most cases. So they would like to, you know, give that responsibility to Amazon. We're seeing them move further up the stack, right? So that would be more beyond the operating system, the application platforms like OpenShift. And now we have a managed application platform built on OpenShift called Red Out OpenShift service on AWS or Rosa. And then we're even further going up the stack with that with, we just announced this week that red out OpenShift data science is available in the AWS marketplace, runs on Rosa, helps break the land speed record to getting those data models out there that are so important to make, you know, help organizations become more, much more data driven to remain competitive themselves. >>So talk about Rosa and how it differs from previous iterations of, of OpenShift. I mean, you had, you had an online version of OpenShift several years ago. What's different about Rosa? >>Yeah, so the old OpenShift online that was several years old, right? For one thing, wasn't a joint partnership between Amazon and Red Hat. So we work together, right? Very closely on this, which is great. Also, the awesome thing about Rosa, you know, if you think about like OpenShift for, for, as a matter of fact, Amazon is the number one cloud that OpenShift runs on, right? So a lot of those customers want to take advantage of their committed spins, their EDPs, they want one bill. And so Rosa comes through the one bill comes through the marketplace, right? Which is, which is totally awesome. Not only that or financially backing OpenShift with a 99.95% financially backed sla, right? We didn't have that before either, right? >>When you say financially backed sla, >>What do you mean? That means that if we drop below 99.95% of availability, we're gonna give you some money back, right? So we're really, you know, for lack of better words, putting our money where our mouth is. Absolutely right. >>And, and some of the key reasons that we even work together to build Rosa was frankly we've had a mirror of customers and virtually every single region, every single industry been using OpenShift on AWS for years, right? And we listened to them, they wanted a more managed version of it and we worked very closely together. And what's really great about Rosa too is we built some really fantastic integrations with some of the AWS native services like API gateway, Amazon rds, private link, right? To make it very simple and easy for customers to get started. We talked a little bit about the marketplace, but it's also available just on the AWS console, right? So customers can get started in a pay as you go fashion start to use it. And if they wanna move into a more commitment, more of a set schedule of payments, they can move into a marketplace private offer. >>Chuck, talk about, how about Rosen? How is unlocking the power of technology like containers Kubernetes for customers while dialing down some of the complexity that's >>There? Yeah, I mean if you think about, you know, kind of what we did, you know, earlier on, right? If you think about like virtualization, how it dialed down the complexity of having to get something rack, get a blade rack, stack cable and cooled every time you wanted to deploy new application, right? So what we do is we, our message is this, we want developers to focus on what matters most. And that's build, deploy, and running applications. Most of our customers are not in the business of building app platforms. They're not in the business of building platforms like banks, I, you know, financials, right? Government, et cetera. Right? So what we do is we allow those developers that are, enable those developers that know Java and Node and springing and what have you, just to keep writing what they know. And then, you know, I don't wanna get too technical here, but get pushed through way and, and OpenShift takes care of the rest, builds it for them, runs it through a pipeline, a CICD pipeline, goes through all the testing and quality gates and things like that, deploys it, auto wires it up, you know, to monitoring which is what you need. >>And we have all kinds of other, you know, higher order services and an ecosystem around that. And oh, by the way, also plugging into and taking advantage of the services like rds, right? If you're gonna write an application, a tradition, a cloud native application on Amazon, you're probably going to wanna run it in Rosa and consuming one of those databases, right? Like RDS or Aurora, what have you. >>And I, and I would say it's not even just the customers. We have a variety of ecosystem partners, both of our partners leveraging it as well. We have solos built their executive management system that they go ahead and turn and sell to their customers, streamlines data and collects data from a variety of different sources. They decided, you know, it's better to run that on top of Rosa than manage OpenShift themselves. We've seen IBM restack a lot of their software, you know, to run on top of Rose, take advantage of that capabilities. So lots of partners as well as customers are taking advantage of fully managed stack of that OpenShift that that turnkey capabilities that it provides >>For, for OpenShift customers who wanna move to Rose, is that gonna be a one button migration? Is that gonna be, can they run both environments simultaneously and migrate over time? What kind of tools are you giving them? >>We have quite, we have quite a few migration tools such as conveyor, right? That's one of our projects, part of our migration application toolkit, right? And you know, with those, there's also partners like Trilio, right? Who can help move, you know, applications back 'em up. In fact, we're working on a pretty cool joint go to market with that right now. But generally speaking, the OpenShift experience that the customers that we have know and love and those who have never used OpenShift either are coming to it as well via Rosa, right? The experience is primarily the same. You don't have to really retrain your people, right? If anything, there's a reduction in operational cost. We increase developer productivity cuz we manage so much of the stack for you. We have SRE site reliability engineers that are backing the platform that proactively get ahead of anything that may go wrong. So maybe you don't even notice if something went wrong, wrong. And then also reactively fixing it if it comes to that, right? So, you know, all those kind of things that your customers are having to do on their own or hire a contractor, a consultant, what have to do Now we benefit from a managed offering in the cloud, right? In Amazon, right? And your developers still have that great experience too, like to say, you know, again, break the land speed record to prod. >>I >>Like that. And, and I would actually say migrations from OpenShift are on premise. OpenShift to Rosa maybe only represents about a third of the customers we have. About another third of the customers is frankly existing AWS customers. Maybe they're doing Kubernetes, do it, the, you know, do it themselves. We're struggling with some of the management of that. And so actually started to lean on top of using Rosa as a better platform to actually build upon their applications. And another third, we have quite a few customers that were frankly new OpenShift customers, new Red Hat customers and new AWS customers that were looking to build that next cloud native application. Lots of in the startup space that I've actually chosen to go with Rosa. >>It's funny you mention that because the largest Rosa consumer is new to OpenShift. Oh wow. Right. That's pretty, that's pretty powerful, right? It's not just for existing OpenShift customers, existing OpenShift. If you're running OpenShift, you know, on EC two, right. Self-managed, there's really no better way to run it than Rosa. You know, I think about whether this is the 10th year, 10 year anniversary of re right? Right. Yep. This is also the 10 year anniversary of OpenShift. Yeah, right. I think it one oh came out about sometime around a week, 10 years ago, right? When I came over to Red Hat in 2015. You know, if you, if you know your Kubernetes history was at July 25th, I think was when Kubernetes ga, July 25th, 2015 is when it g you have >>A good >>Memory. Well I remember those days back then, right? Those were fun, right? The, we had a, a large customer roll out on OpenShift three, which is our OpenShift RE based on Kubernetes. And where do you think they ran Amazon, right? Naturally. So, you know, as you move forward and, and, and OpenShift V four came out, the, reduces the operational complexity and becomes even more powerful through our operator framework and things like that. Now they revolved up to Rosa, right? And again, to help those customers focus on what matters most. And that's the applications, not the containers, not those underlying implementation and technical details while critically important, are not necessarily core to the business to most of our customers. >>Tremendous amount of innovation in OpenShift in a decade, >>Pardon me? >>Tremendous amount of innovation in OpenShift in the >>Last decade. Oh absolutely. And, and and tons more to come like every day. Right. I think what you're gonna see more of is, you know, as Kubernetes becomes more, more and more of the plumbing, you know, I call 'em productive abstractions on top of it, as you mentioned earlier, unlocking the power of these technologies while minimizing, even hiding the complexity of them so that you can just move fast Yeah. And safely move fast. >>I wanna be sure we get to, to marketplaces because you have been, red Hat has made, has really stepped up as commitment to the AWS marketplace. Why are you doing that now and how are, how are the marketplaces evolving as a channel for you? >>Well, cuz our customers want us to be there, right? I mean we, we, we are customer centric, customer first approach. Our customers want to buy through the marketplace. If you're an Amazon, if you're an Amazon customer, it's really easy for you to go procure software through the marketplace and have, instead of having to call up Red Hat and get on paper and write a second check, right? One stop shop one bill. Right? That is very, very attractive to our customers. Not only that, it opens up other ways to buy, you know, Ted mentioned earlier, you know, pay as you go buy the drink pricing using exactly what you need right now. Right? You know, AWS pioneered that, right? That provides that elasticity, you know, one of the core tenants at aws, AWS cloud, right? And we weren't able to get that with the traditional self-managed on Red Hat paper subscriptions. >>Talk a little bit about the go to market, what's, you talked about Ted, the kind of the three tenants of, of customer types. But talk a little bit about the gtm, the joint go to market, the joint engineering, so we get an understanding of how customers engage multiple options. >>Yeah, I mean, so if you think about go to market, you know, and the way I think of it is it's the intersection of a few areas, right? So the product and the product experience that we work together has to be so good that a customer or user, actually many start talk, talking about users now cuz it's self-service has a more than likely chance of getting their application to prod without ever talking to a person. Which is historically not what a lot of enterprise software companies are able to do, right? So that's one of those biggest things we do. We want customers to just be successful, turn it on, get going, be productive, right? At the same time we wanna to position the product in such a way that's differentiating that you can't get that experience anywhere else. And then part of that is ensuring that the education and enablement of our customers and our partners as such that they use the platform the right way to get as much value out of as possible. >>All backed by, you know, a very smart field that ensures that the customer get is making the right decision. A customer success org, this is attached to my org now that we can go on site and team with our customers to make sure that they get their first workloads up as quickly as possible, by the way, on our date, our, our dime. And then SRE and CEA backing that up with support and operational integrity to ensure that the service is always up and available so you can sleep, sleep, sleep well at night. Right? Right. One of our PMs of, of of Rosa, he says, what does he say? He says, Rosa allows organizations, enables organizations to go from 24 7 operations to nine to five innovation. Right? And that's powerful. That's how our customers remain more competitive running on Rosa with aws, >>When you're in customer conversations and you have 30 seconds, what are the key differentiators of the solution that you go boom, boom, boom, and they just go, I get it. >>Well, I mean, my 32nd elevator pitch, I think I've already said, I'll say it again. And that is OpenShift allows you to focus on your applications, build, deploy, and run applications while unlocking the power of the technologies like containers and Kubernetes and hiding or minimizing those complexities. So you can do as fast as possible. >>Mic drop Ted, question for you? Sure. Here we are at the, this is the, I leave the 11th reinvent, 10th anniversary, 11th event. You've been in the industry a long time. What is your biggest takeaway from what's been announced and discussed so far at Reinvent 22, where the AWS and and its partner ecosystem is concerned? If you had 30 seconds or if you had a bumper sticker to put on your DeLorean, what would you say? >>I would say we're continuing to innovate on behalf of our customers, but making sure we bring all of our partners and ecosystems along in that innovation. >>Yeah. I love the customer obsession on both sides there. Great work guides. Congrats on the 10th anniversary of OpenShift and so much evolution, the customer obsession is really clear for both of you guys. We appreciate your time. You're gonna have to come back now. Absolutely. Absolutely. Thank you. All right. Thank you so much for joining us. For our guests and for Paul Gillin. I'm Lisa Martin. You're watching The Cube, the leader in live enterprise and emerging tech coverage.

(intro music) >> Hi, everybody, we're back. Dave Vellante and Dave Nicholson. We're covering Fal.Con 22. This is CrowdStrike's big user conference. CrowdStrike is a very hot company, as you probably know started on endpoint security, expanding into another, a number of other areas trying to build the next great generational company in cybersecurity. Michael Sherwood is here. He's the chief innovation and technology officer for the city of Las Vegas. >> Got to love that. >> Thanks so much for coming to theCUBE. >> Welcome! >> Yeah, we got to love that. I mean, if it weren't for Las Vegas, I'm not sure where we would have our CUBE events, but so thank you for hosting us. >> Thank you for being here. This is awesome. It's a great day and a lot of people, and it's exciting to see everything that's going on here. >> Yeah, the city is booming. Obviously the convention, the conference business is booming. Tech is a big part of that but there's so many other industries that come to Las Vegas. Talk about your role, really interesting, chief innovation, technology officer, CTO. Tell us about what you do day to day. >> Kind of all over the place. But a lot of it has to do with day to day technology within the organization. So managing all the different technology components. When you start looking at any city, it's a lot of different companies inside of it. Think of fire service as a different company. They all have different missions. And so our technology needs are expansive. So while we have operational IT, we also have our innovation unit. Innovation unit works on next generation technology. So Las Vegas was one of the first cities in the United States to have a autonomous vehicle drive in mix-flow traffic, meaning it was out there with, driving along cars. We're also the first city to have an accident in a autonomous vehicle. That happened on day two. (Vellante laughing) So, there's always a lot of firsts in Las Vegas, but. >> Despite the grid. >> Despite the grid, you know. But even today, so that was in 2017, when we first started working with autonomous vehicles. Up until today, where you have the ability, anybody in Las Vegas, including yourselves right after the show can go ahead and use Lyft, go outside and hail an autonomous taxi to come pick you up and drive you up and down the strip. Those vehicles actually communicate with our infrastructure. So the innovation is, how do cities work with private companies to start building next generation amenities, next generation technologies? And so that happens a lot of times. People don't realize. They come to Las Vegas for entertainment, and now we're known for sports but we do have a lot of technology here that permeates through the entire community. >> So I'm from Boston. We're trying to get the smart traffic lights, we're not quite there yet. But I was at a session, Dave you'll appreciate it, it was John Rose, who was the CTO. He was the CTO of, he's a CTO of Dell Technologies now. And the mayor of Boston, we were talking about the vision for a smart city. But Boston and I mean talk about, a challenge for building a smart city. So when I come out here, it's like amazing to me to see the technology that's there. So as a CTO and innovation officer, you've got a playground where... Now, of course you have legacy infrastructure, you've got technical debt, but you also have, in certain cases, an opportunity and more latitude to get creative. So what are some of the cool things that you're working on that you're really excited about? >> There's a lot of things I'm excited about. It's just great being in this city. But a lot of the things that we're excited about here in the next year to two years, we have an innovation district. So not a lot of cities have this but Downtown around the Fremont Street Experience, there's a corridor there that covers government, covers entertainment, medical. And so this innovation district is where we test out new technologies. So some of the things we're testing out, computer vision. So we're, our smart parks program is how do we provide better security and enjoyment of those amenities without providing physical labor to constantly patrol. And so we're using cameras and vision and different types of AI algorithms to kind of manage the park. And while we're doing that, we're also getting data back on how often is the park used? Are the facilities, are the sprinklers going on during the day? Water's a big deal here. And so those type of projects. Again, autonomy is still huge, vehicle autonomy, still working on driving those next generation changes where you'll actually have a driverless vehicle. Right now, there's a safety driver in a lot of the autonomous vehicles. Even the one I talked about earlier, you have the, while the vehicles driving itself, for safety reasons, there's still a human driver in the seat. But as we go forward in the next year to two, that >> That's soon. >> is getting ready to change. I believe that's soon. You can quote it here, you heard it here first. >> Wow. >> But that would be coming up. You got drones as well. We've already started looking at a few types of drone delivery systems. It may not be too far away. Your pizza or maybe some other item that you want is delivered in the general area. Probably not in the hotel corridor but in the outside areas of the city. I just think there's a lot of, again, we're building amenities for the future. We really want people to understand that Las Vegas is not just a place to come visit, but it's a place to live and have fun and be part of a community. >> So from an academic perspective, what you just described is a highly ambidextrous organization, right? >> Yes. >> Because you're not just worried about keeping the lights on, but you're also looking at innovation. How did your organization get to this place? What you're describing is sort of the gold standard that any organization public or private would seek to implement. How did you get there? >> Baby steps, small steps. It all started back when there was the Smart Cities Challenge. So we were not selected as the finalist. We were in the, I think top 15 at the time but we didn't give up on it. And we continued to move forward. The pandemic helped us do things. When you ask, what do I do? Well, my normal job is running the day to day infrastructure. I also see my role as economic development to help bring companies here and bring new ideas. We have a great community, diverse and ready to do things. But when you take, talk about the innovation and the technology and what we're doing. Like I said, during a pandemic, we came up with the idea of, Hey, we don't want to send our building inspectors or our inspectors in the people's homes, one for the inspector's health and one for the citizen's health. So we used normal tools. We took an iPhone and made it a virtual inspector. So now if you get a new water heater, you can actually do your inspection via like a FaceTime. And you hold your phone up around the water heater. We can view it, we record the video, save it, and boom give you an inspection remotely. And so you build on it. So how do you get, I wouldn't quite say we're the gold. I appreciate, we're moving there, that's the bar. You've laid out the bar for us, but we're moving in that direction. But it's building on one win and not all of our things that we've deployed. We can talk about those as well. Some of the things like trash can sensors, we looked at doing, which would monitor when the trash can was full or empty, just didn't pan out. So a lot of the times I talk about the wins a lot not as much about the things that didn't pan out. >> So what're the big challenges, generally of building out a smart city and then specifically around cyber? >> So there's, community acceptance number one. Las Vegas, I'm very lucky cameras are everywhere. So there's not as much resistance to using video technology. But a lot of times it's just getting the constituents, getting people to understand the value of what we're trying to do. Not everybody is interested in autonomous vehicles or believes they're ready for that. But when you start looking at the increments, more than any other city I know, the community here is so robust and so supportive of bringing on these technologies. Look, what other city do you know that builds new buildings and knocks them down five years later to build something new again? Or, who has a volcano in the middle of their downtown? So different things like that. But when you start looking at all the advancements we're making, you brought up one of the biggest concerns. When people ask me, what keeps you up at night? It's not the autonomous vehicle not performing, its the cyber, it's the cyber issues that go along with becoming more advanced. And as you bring innovation in, you start bleeding the lines of what's government, what's private. And then how do you continue to have the data transmission between these multiple entities? How do you keep the endpoint secure? And that is something that you learn as you go, but it's always out there. And endpoint security and security in general is a huge, huge area. >> And how about the data? You were talking before about you can get actually approval for an inspection. That's data, it's video data. How have you changed the way in which you're using data? What are you doing with that data? How do you leverage it? How do you secure it? >> It's all great questions. One of the things we've undertaken is called an open data initiative. So we have an open data portal. It's opendata.lasvegasnevada.gov, where we publish a lot of the data sets that we collect. If it's air quality, if it's ambulance runs, and we make that data available. A lot of that is, one for the public for transparency, two though, it's, we hope enables the private sector to build apps off of the data that we have. A lot of times, you either you have the data but you don't have the app or you have the app, but no data. So in our way, it's trying to help the community build up new ideas. Our push has been moving to the cloud a lot. So we're pushing a lot more data into the cloud where before I think a lot of governments keep a lot of that internal, but obviously look, the cloud's here to stay and it's not going anywhere. And so now it's more about as we migrate, using our partners, our relationship with CrowdStrike, to start securing not only our endpoints but start looking at the cloud space as well. And then we have this new technology. It's not really new, but edge compute. You've heard a lot of, there's different people talking about it. When you start talking about autonomous vehicles, autonomous delivery, drones. We own a large private wireless network. A lot of data now is computed at the edge and we're only taking the metadata and sending it up to the cloud. So it becomes rather complicated with security being at the forefront. >> Yeah, so that very small portion of the actual amount of data that's created goes back but it's such a massive amount of data. It's not to trivialize it, it's still a lot. And some of it is probably ephemeral. Do you persist at all? Or probably not. >> Not always, I mean. A lot of it, what we're learning is, it's a learning process as you go through this smart city or what we call just basically emerging into, 'cause I believe all cities are smart. Not one city smarter than another necessarily. So I'm not really a fan of the term smart city. It's more in line with me as we're building amenities for the future and building amenities for people. And a lot of that is built upon data and then built upon providing things that citizens want. And we all know, we all live somewhere and we live there because it's safe community, it has good education, good infrastructure whatever it might be. And so we're trying to build out that smart community to be as many things as we can to as many people. >> Yeah, that's fair. And there's automation, there's certainly machine intelligence that's heavily involved. Of course, you talking autonomous. Now I understand your work transcends the city of Las Vegas into the broader state of Nevada helping make Nevada a safer state. What's that all about? >> So we have a great partnership. One of the great things, I come from California, so a rather large state. Here in Nevada, it's a very close knit state. So we have a lot of communications with the state. We get to work with them very closely. One of the initiatives we've been working on is how do we, a lot of organizations spend a lot of time doing cybersecurity for just their organization. So it's focused internal on the employees that might work in that organization. We're kind of now looking outwards and saying, how do we not only do that for our internal government employees but how do we involve the entire community? One of the things is, is Las Vegas over 40,000 conventions per year. You're here a lot. What happens in Vegas stays in Vegas and a lot of people bring malware with them and it stays here. We're trying to educate people. We do a lot in government to help people with police and fire and services. What is local government doing to help the community prepare for the next generation of cyber threats and issues? So our initiative is really working with the community, bringing in CrowdStrike and other partners to help us not only work with small business, but work with those entrepreneurs as well as the midsize businesses. >> So what do you do with Crowd? You got the cool little CrowdStrike, not CrowdStrike, but you got the red splash in your lapel. Very cool cuff links, I noticed that you have there. I love the red. >> Little poker chips there. >> They're Very nice, very nice. >> They're very cool. So what do you do with CrowdStrike? >> So CrowdStrike is one of our major components in our security posture. We use them as endpoint protection. I can tell you a quick story. I know my CISO's listening probably was going to cringe now when I tell this story, but our journey with CrowdStrike has been amazing. We deployed the product and when that first week of deployment, we had a malicious actor and CrowdStrike was able to catch it. I would probably would not be here today with you two gentlemen if it wasn't for CrowdStrike. That's not an endorsement it's just a, that's a fact of how things rolled out. But we depend on CrowdStrike and their capabilities to ensure the safety of our digital assets. >> You wouldn't be here 'cause we, it used to be failure means fire. Is that what you mean? >> That's what I mean. I'm not going to, I don't like to use that word in my terminology, but basically failure is not an option in my job. It's just not there. >> Well, it's funny, we had Kevin Mandy on early, he was like, look I started my company in 2004 with the assumption that breaches will happen, you are going to get breached. >> Yes >> So that's why I say, I think there was a day when, if you got breached, oh, you're fired. Well that, then everybody got breached. So I think that that sentiment changing 'cause CrowdStrike saying that the unstoppable breach is a myth. Well, we're not there yet, but. >> I'd say damage control now. At least we have a little bit more control but, again, look, government is about trust. And so when you have that trust level, from my perspective, I keep a high standard and try to prevent any loss of data or any type of malicious activity from happening. I hope the mayor's listening and she doesn't fire me if anything would happen, but you know. >> You got a fun job. How'd you get into this? >> It was a great opportunity. I worked in law enforcement prior to here. I was a Deputy Police Chief in city of Irvine. I oversaw technology as part of that role. I've always loved Las Vegas, always liked the energy of the city and I had a great opportunity to apply and I applied and was lucky enough to be selected. I have a great team that supports me. >> Deputy Police Chief, it sounds like, what you just described, the technology role. You had an operations role essentially, is that right? >> Correct. And so kind of gave me a lot of insights and really helped me, as you progress in government, having different roles in your portfolio makes you a little bit more adaptive and it's kind of, it helps in, especially now with so much video and cameras prevalent in cities, having that law enforcement role, understanding a little of the legal aspects and understanding some of the, what law enforcement wants kind of makes that bridge from technology to the actual end user. >> A really interesting story, Michael. Thanks so much for sharing on theCUBE, appreciate it. >> Thank you for having me here. >> You're very welcome. All right, keep it right there. Dave Nicholson and Dave Vellante will be back from Las Vegas at the Aria from Fal.Con 22. You're watching theCUBE. (outro music)

>>Hello everyone. Thank you, add appreciating the studio. We're here at the cube here in cloud city telco DRS Cloud city. I'm Jeffrey Day Volonte. We're here for the next three days. Wall to wall live coverage. It's a physical event with a virtual program. It's hybrid. We're here with Daniel Royston, the Ceo of telco D. R. And the acting Ceo Toby, which is announced today. Great >>to see you. It's awesome to see you guys. >>Awesome to see how you doing, how you >>Feeling? I'm feeling congratulations. Right. 101 days ago, I didn't even think this doesn't exist. Right. And we got in contact with you guys and we said we knew there was always going to be a big virtual component and we invited you guys and here we are together. It's insane. >>Well we did the preview videos, but we're kind of walking through and document in the early stages. It all came together beautifully spectacular For the folks watching behind us is the most spectacular build out clouds. It's an ecosystem open concept. It feels like the Apple store meets paradise. Of course. We got the cube here in the set and we got the studio with all the command and control of adam there. So I gotta ask you with the connected keynotes going on right now. The connected world. Yeah. It's connected. We all know that everyone knows that what's, what's different now real quick before we get into the program, what's going on? >>Yeah. I think a big part of my messages and advocating it's more than just the network, Right? And I think telcos forever have relied on. That's all it is. That's what it's about. And I'm like, nope, you guys got to start focusing on your subscribers, right? And so the over the top players keep coming in and siphoning away their revenue and it's time for them to start focusing on us, right and making experience great. And I think that's what this is all about. >>So we're gonna get the news but I want to toss it to Katie. The roving reporter is going to give it a detail on how it all came together. So Katie take it away. >>Mhm We're here in Barcelona and so excited to be back in this beautiful city over at the convention center. The team is working hard putting the finishing touches to tell Cody are amazing cloud city booth at MwC Barcelona 2021. I'm sure you know the story of how this all came together as one of the biggest vendors Erickson pulled out of M. W. C. With just over 100 days until the start of the event. When this happened last year, it kicked off a tidal wave of departures and MwC was called off this year. We all wondered if MWC was going to be cancelled again and that's when Daniel Royston Ceo of Telco D. R. And Tito G swooped in and took over the booth all 6000 square meters of it. The plan turn the booth into cloud city, the epicenter of public cloud innovation at MWC crews have been working around the clock. Over 100 and 50 people have been on this construction site for over three weeks with covid testing every day to prevent outbreaks during the build and in 100 days, it's become just that Cloud city has over 30 vendors presenting over 70 demos with 24 private meeting areas. Cloud City Live is a virtual showcase and live broadcast studio featuring 50 guests from cloud Thought leaders around the world. They have telepresence robots for a more personalized experience and the Cloud city quest game with a chance to win more than $100,000 to gain access to live streams of our nightly concerts with rosario flores and rock legend Jon bon Jovi. And don't forget to visit cloud city dot telco D R dot com to join in on the fun Daniel Royston and Nacho Gomez, founder and Ceo of one of the key vendors in the construction of the booth gave us a behind the scenes tour of the booth. >>Nacho. We did it. Yeah, we did. It can't even touch because of Covid. Yeah, but look what we did. But right, 100 days ago I called and I said I'm taking over the Ericsson booth. What did you think? I know you were crazy but just a little bit crazy, realized that you were mortgages than I thought. So at the very, at the very beginning I thought, yeah, she's crazy. But then I couldn't sleep that night. But the next uh then I realized that it was a very good it's a great idea. Yeah super smart. So yeah we're gonna show everyone toward the booth. Yeah let's go. Let's go. Okay So how do we build such an amazing, beautiful building now? So this is we've made building inside a book. So it was very hard to find a glassful of facade. The roof is around 24 tones. Yeah so it's crazy crazy but we made it work and it's totally amazing. Yeah. Do you want to go to tragedy life? Do let's go. Okay so here we are Cloud city live. I know we're producing a whole live streaming tv show. We always knew because of covid that not everyone will be able to come to Mwc as we wanted to make sure that people can learn about the public cloud. So over here we have the keynote stage, we're gonna have awesome speakers talking all throughout M. W. C. People from AWS Microsoft, google vendors companies. So really really great content. And then over there we have the cube interviewing people again 15 minute segments, live streaming but also available on demand. And you can find all of this content on cloud city. Tell Cody are calm and it's available for anyone to you. Well, a lot of content. And what about the roberts? I never get them out. Come on. We remember 100 days ago we were locked down. So we came up with the idea of having robots for the people who cannot attend in person. I know right. We always knew that there was gonna be a big virtual component to MWC this year. So we bought 100 telepresence robots. It's a great way to have a more personal experience inside the boot. Just sign up for one on cloud city dot telco D r dot com and you can control it yourself. Right? So today we have Nikki with us, who's dialing in from the Philippines in Manila? Hello, Nicky. Hi there, how are you? I were great. Can you show us a twirl all gaining on us? Super cool. Yeah, it is. What an experience. So Nikki robots are not the only cool thing we have in cloud city. We also have super awesome concert. We have rosario flores on monday. Who's a latin grammy award winner. We have Jon bon Jovi, Jon bon Jovi on Tuesday, can't be changing telephone that a little bit of rock n roll and that's Tuesday. And on Wednesday we have DJ official, it's going to be a super party. Now if you play our cloud city quest on cloud city telco D R dot com you can participate in a live streaming concert and so I know a lot of people out there have been a lockdown. Haven't been able to be going to concerts. Things from austin texas, which is the live music capital of the world, How to have music. It would be so exciting is gonna be great. I'm getting hungry. Why don't we go to the restaurant? Let's go eat. Let's go. Yeah, Here is our awesome restaurant. I know it's called Cloud nine. Right? It's a place to come and sit down and relax now. Barcelona is known for its great food and I'm a foodie. So we had to have a restaurant. Should we go check out my secret bar? Let's go. Mhm. Yeah, here >>thanks to a R. And thank you Nacho if you're watching this at home, I'm so sorry you can't join us in person. However, let's not forget this is a hybrid event meaning we're bringing all the public cloud action right to you wherever in the world you might be. This includes the Pact cloud city live program. We've partnered with the cube Silicon angle Media's live streaming video studio to make sure that all of the keynotes, panel discussions, demos, case studies interviews and way more are available on demand so you can watch them whenever and wherever you want or you can live stream and enjoy all things cloud city as and when they happen. So for those of you not able to join us in, Barcelona, be sure to log in to cloud city live and catch all the action and don't miss the awesome concert Tuesday night with Jon bon Jovi available for free. If you participate in our cloud city quest game, I'll be here throughout MWc bringing you reports and updates. Stay >>tuned. Yeah. >>Mhm. Okay, we're back here on the cube on the floor at mobile world congress in cloud city telco DRS clouds. They were here with D. R. Of telco, D R. Danielle Rice and great to see you back, we're back. So the keynotes going on connected world, the big news here, I'll see the open shift that's happening is going open. Open ran, it's been a big thing. Open ran alliance. You're starting to see the industry come together around this clear mandate that applications are gonna be cloud native and the public cloud is just coming in like a big wave and people are gonna be driftwood or they'll be surfing the wave. Yeah, this is what's happening. >>Yeah, I think public cloud is an unstoppable megatrend. It's hit every other industry regulated industries like banking, right? Top secret industries like government. They all use the public cloud tells us the last, you know, standing old school industry and it's coming and I don't think we could have had an MWc without talking about open man. That's the other major shift. And so we're bringing both of those ideas here together in cloud city. So >>the big theme is telco transformation. Maybe we could start with the basics like paint a picture of what the telco infrastructure looks like, particularly the data center stuff because they all have big data centers >>because that's >>those are the candidates to go into the cloud explained to the audience. >>Well, do you have a time machine? I think if any of us were in tech in the late 90s and early 2000s, that's what telcos like today. Right. So for people outside of the industry don't know right there mostly still managing their own data centers, they're just sort of adopting virtualization. Some of the more advanced telcos are mostly virtualized public cloud. Is this idea that like this advanced thought and so yeah, I mean things are on premise, things are in silom, things don't use a P. I. S there all integrated with custom code. And so the transformation, we can all see it because we've lived it in other industries. And I'm bringing that to telco and say come along for the ride. It totally works and it's gonna be amazing. >>So it's hardened purpose built infrastructure. Okay. That ultimately parts of that need to go to the public cloud. Right. What parts do you see going first? >>I think all of it. Really. Yeah. And I think when you look at like dish in the W. S. Which was an announcement that came out about two months ago. Right. I mean dish was doing all these are FPs. Everyone knew about it. They were looking for a cloud native software and no one knew what they were. They knew a big part was open man. But their coupling open ran with AWS and deploying their parts of their network onto the public cloud and the whole industry is like wait we thought this was years away, right? Or number two, you're crazy. And I'm saying this is what I've been talking about guys. This is exactly what you can do, leverage the Capex over. Let's see. I think Amazon did $100 billion 2020 right, leverage that Capex for yourself. Get that infinite scalability right? It's going to, well we >>have, we have a saying here in the queue, we just made this up called D. R. That's your initial tucker. The digital revolution and the three Rs reset re platform and re factor. I think the observation we're seeing is that you're coming in with the narrative what everyone's kind of like they're waking up because they have to reset and then re platform with the cloud. But the opportunity is gonna be the re factoring, You're seeing the public cloud, do that already with the Enterprise Enterprises. Already re factoring has done that. Already done that now. Telcos the last area to be innovated by the cloud. >>Yeah, I think there's old school big, we're kind of on a hollowed ground here in the Ericsson booth that I took over, right? They bailed and I kind of made fun of them. I was like, they don't have anything to say, right, They're not going to go to the show. I'm like, this is this is a revolution that's happening in telco and I don't think the big guys are really interested in rewriting their software that frankly makes them billions and billions of dollars of revenue. And I'm like to use the public cloud. All of the software needs to be rewritten needs to be re factored and you've got to start training your teams on how to use it. They don't have any capability. The telcos, in terms of those skills hire the right people, retrain your teams, move your applications, rewrite them. And I think that's what we're talking, this is not a short journey, this is a 10 year journey. So >>let's fast forward to the future a little bit because when I look around cloud city, I see ecosystem everywhere. So as you well know, the telcos have generally done a poor job of attacking adjacent seas. So my question is can they go beyond should they go beyond connectivity or is that going to be the role of the ecosystem? >>Yeah, I think it's time that the telco starts to focus on their subscriber, right? It's been really easy for them to rely on the oligopoly of the network, Right? The network, we live in the United States, we see the 18 T Verizon T mobile five G network, five G network. Like what about us? Right. And it's really easy for the over the top players right, that come in and they're always, telcos are always complaining about being coming dumb pipes and I'm like, you don't focus on the customer, we would rather buy from an Apple and amazon if they provided a mobile service because the customer experience will be better. Right? They need to start focusing on us. They have great businesses but they want to make them better. They need to start focusing on the subscriber, so >>it's a partnership with the ecosystem then for them to go beyond just straight connectivity because you're right, those are the brands that we want to do business >>with. You know, there was a great survey, Peter Atherton who will be talking as a speaker I think um I can't remember when he's talking but he was talking about how there was a survey done, where would you rather get your mobile service from? And it had a couple of big names in telco and then of course the obvious, you know, consumer brands, the ones that we all know and it was like overwhelmingly would rather buy from an amazon or an apple. And I'm like, this is like if you guys don't change, right, if telco doesn't change they keep rolling out 60 and blah blah blah. It's about the network and I don't start making about the subscriber right? Those revenues are going to continue to erode and they just sit there and complain about the O. T. T. Players. Like it's time to fight back. Yeah, I own the subscriber >>relationship. It's a digital revolution and I think This event really encapsulates in my mind this hybrid world here because it's physical events back. It's been since 2019 winter that this event actually happened. >>Well no it was even longer than, well I guess winter it was February of 19, right? And so like you look at ericsson and some of the big names that dropped out of the show, the time they come back, three years will have passed three years, right? This is how you feel your sales funnel is how you connect with your customers right? Tokyo is a very global, you know experience and so you gotta, you gotta get in front of people and you got to talk a >>lot of change to its happened, look at just what public clouds done in 2.5 years. You imagine three years being just >>gone, right? And I think a lot of people back to edition A. W. S. I think the industry was a little bit surprised by that announcement. So I've been telling executives if you were surprised by that, if you think that's, you know, if you don't know how that's gonna work, you need to come to cloud cities, you start meeting all the vendors are here. We have over 30 vendors, 70 demos, right? People who are pushing the technology forward, you need to learn what's going on here. We have several dish vendors here. Come learn about open rand, come learn about public cloud. So >>we're tight on time today, but we're going to have you back and we want to get into the tech, Get it to open, ran a little bit, get into what 5G and beyond and how we're going to take advantage of that and monetize it and what that all means. >>And also we want to hear what's going on the hallways. I know you got a lot of your key noting, you're gonna be a lot of events, the yacht. You've got a lot of briefings, >>yep. Yeah, I've already had two meetings this morning. I shot a video. Um, I met with one of the world's largest groups and I met with a tiny little super app company. Right? So running the gamut, doing everything reporter >>now, we could be like our roaming >>reporter. You know, I love, I love talking to execs and telco getting their perspective on what is public cloud and where are they going, what are they thinking about? And you talked to people who really, really get it and you get people who are just nascent and everywhere in between and I love mwc it's going great. >>Daniel Rose and you are a digital revolution telco DDR. There's amazing. Davis has been fantastic. Again for the folks watching, this is a hybrid events, there's an online component and we're reaching out with our remote interviews to get people brought in and we're shipping this content out to the masses all over the world. It's gonna be really amazing cube coverages here. It's gonna be rocking you guys are doing great. I just want to give you a compliment that you guys just did an amazing job. And of course we've got adam in the studio with the team. So adam, I'm gonna pass it off back to you in the studio

(bright upbeat melody) >> Welcome back to Dell Technology World 2021. Dell Tech World, the virtual edition. My name is Dave Vellante. We're going to talk about the Edge. I'm very excited to invite Pierluca Chiodelli, who's the Vice President of Product Management for the Edge portfolio at Dell. And Gil Shneorson, who's the Senior Vice President, Edge portfolio also at Dell Technologies. Gentlemen, great to see you welcome to theCUBE. >> Thank you, Dave. >> Thank you, great to see you. >> Yeah, great to see you guys too. Wish we were face to face but maybe in '22. Gil, let's start with you. The Edge is very exciting, it's not really defined. It's very fragmented, but it's there. It's kind of, you know it, when you see it. What do you get excited about when you think about the Edge? >> I think of there's two elements. The first one, is that we all live at the Edge. In other words, the areas we deal with are around us everyday. When we shop, when we consume, when we drive. So it's a very physical type of activity, we know it's there. What's really exciting mostly to me is that, and you started with talking about fragmentation right off the bat. It is a great opportunity for Dell Technologies to add value. Because it's so fragmented, because it's so new, because it has developed and evolved the way it is. We see an amazing opportunity for us to add much more value than we do today and solve problems that have yet to be solved in the industry. >> And Pierluca, it's an exciting, it's almost like an infinite playground for a technologist. I mean. >> Yeah, Dave, I think that's exactly what we find out. The Edge is very exciting, there is a lot of motion especially due to the pandemic and other things. Big factor that is accelerating the innovation at the Edge but this is an inorganic acceleration and what it cause for most of our customers is also confusion, right? They need to apply multiple solutions but not very organized. So you try to solve the outcome like having the right production on your line because demand is surging. But you don't have an organic things to do that and solve the problem. So you see a lot of silos coming in for each one of the solution, and that's what Gil was referring. That's a great opportunity for us as Dell with the breadth of the portfolio we have and what our team that is a new team is focusing doing is to bring that idea to be able to consolidate multiple things at the Edge and process things at the Edge. >> We did an event. CUBE had an event called the CUBE on Cloud and Q1, we had John Rose on and the title of the segment was something like gaining the technology Edge. And we were kind of geeking out on the tech at the Edge. And my takeaway there was... We were trying to like what is Edge? It's like, well, it's the place where it makes most sense to process the data. And so that brings up a lot of challenges. There are technical challenges and there are business challenges. I wonder if we could sort of dig into those a little bit. How do you guys look at that? Maybe Gil, you want to start maybe. Maybe on the business side and then we can dig into that. >> Sure. The way things evolved. If you think about it, at the Edge is very verticalized. And because of that, they're very use case driven. And so in every industry possible, you start with some business person making a decision whether they have a need or they want to grow their business. And so for example, they will buy an applying to do fraud protection in retail or detection retail. Or they will apply an application to merit robotics and the factory need would come with its own gateway, implant, compute, and a cloud portal. And then you do it again and again, and again, every time you have a business opportunity. All of the sudden you have this proliferation of IT type equipment. At the end where it's the worst place to have it really because you don't have the right IT resources and you are in the need to protect it in a much more... In a different way that you can do in a data center. And so all of that, bring us to a point that we see an opportunity to simplify. And so not only simplification. And this is, you know, simplification or simplicity is the most important driver for any IP purchase. Things that are simple or the easiest and the most economical to operate. The next demand that we see from a customer is security. Because things are at the edge, they have a much more extended attack surface. They need to be connected to networks. They need to be connected without IT staff. So if you can simplify insecure, you can really unlock amazing value by processing data close to where it's created. Without it, we're seeing this opportunity as businesses but we can't really get to it because there are those two hurdles in front of us. >> So Pierluca. We need to you thank you for that, Gill. When you hear a lot about AI inferencing at the Edge. And if you think about AI today, much of the work is modeling. It's done in the cloud. But you're not going to be doing AI inferencing in real time in the cloud. Take the autonomous vehicle example. So that brings some technical challenges. There's obviously data challenges. I'm curious as to how you think about that. I mean, we always talk about how much data is going to be persisted. I think Tesla persists like five minutes of data, right? But some of it is going to go back. That's true. But a lot of it is going to be processed real time. And that's just really different than the way we typically think about IT. >> Yeah, absolutely. So at the Edge, especially in manufacturing, we see right now, or in other use case, it's very important to get the outcome very quickly. Now, you don't use that a deep learning model for that. You need to just understand. For example, in the computer vision use case where you take image of your production line. To your point, Dave, you not keep those image, you keep the image where you have the defect. But you need to process that AIML needs to be intelligent enough to understand that you have a defect, and send that image then to the club. So the search of the data at the Edge is a very important factor. And why you need to process data at the Edge, because as your point, you can't wait to send to the cloud and then wait, right? Tesla is a clear example of that. All the autonomous car where you need to react instantaneously to a change. But in manufacturing, for example, that is our focus for now, is for example, the robots. That if you need to optimize the robot, you need to have a immediate understanding of where the pieces are and when they need to put. And the tolerance need to be act immediately. Otherwise, you come out with the thousand of pieces that they are not in the right tolerance. So, and at the end of the day, what we see is not only the search of the need of processing AIML to the Edge, but also the need to have a new type of compute at the Edge. So in the past, was just gateway and you'd get the gateway and you send the data to the cloud. Now, it's a form of a new compute that has also GPU capability and other things to process this data. So very important. And I think that Dell, especially, we are very focused on that because is really where the customer need to extract the value. >> Thank you. And Gil, I want to get Gil to the unique value proposition to Dell and what makes you distinct. If I infer from your comments, your strategy, you said it's to simplify. And so I see two vectors there. One is to simplify at the Edge. The other is where needed connect that Edge, whether it's on prem, a public cloud, cross-cloud, that kind of simplification layer that abstracts the complex the underlying complexity. Maybe you could talk about your strategy and what makes you guys different? >> Sure. We've been talking to our... Well, we always talk to our customers. And we've been doing business at the Edge for many, many years. Let's call it coincidence that we're a very large company. We have reached, we serve our customers. So when they decide to buy something for their Edge, you know, environments, they come to us as well as other vendors. When the percentage of the time based on our market share. But when we decided to take another look at how can we be even more relevant, we started talking to a lot of them great depth. And what we discovered was the problem I talked about before. The problem of complexity, the problem of security and the problem of choice. And so our focus is to do what we do best. At the end of the day, we're an IT company and our customers for the most part are IT people. And we see them dragged more and more into Edge projects because customers need to connect Edge to the network. And they need to security, and that's how it starts. And so those worlds of IT and OT are coming together and they're coming together, applying IT best practices, which is exactly what we know how to do. And so, because of that, we think that they need to think about architecture versus unique silence solutions. Architecture that can support multiple use cases that can grow with time, consolidate more and more use cases as they grow, simplify what they do by applying tried and true or tried and true IT best practices in a secure manner. So the dealer approach would be doing that, taking a more architectural approach to the adverse as a use case. And then just like you predicted, meet the customers where they are from an application standpoint. And so we know that a lot of applications are growing and be developing on a hyper scale or public clouds. We would like to connect to those. We would like to allow them to keep working as they have, except, when they run it at the Edge. Think about environments, if can consolidate multiple workloads and not solve it for each one at the same time. And so that will be our overall approach. That's what we're working on. >> Yeah. So, okay. So in that horizontal layer, if you will, to serve many, many use cases, not just... You're not going to go a mile deep into one and be the expert at some narrow use case. You want to be that horizontal platform. Here, look, I wonder, does that call for more programmability over time of the products to really allow people to kind of design in that flexibility, if you will, build my own. Is that something that we can expect? >> Yeah, absolutely. So we spoke a little bit about this before the interview. And the things that is very important is composability, starting from a very small form factor to the cluster, and then expand to the cloud is the fundamental things. And the trend that we see. The fact that you can compose the infrastructure, starting from a small gateway that is changing in this market right up to the cloud, and be able to use the same layer that allow you to run the same application is a fundamental things. And we are working on that. We are working on this vision and our strategy is really to be able to be transparent but provide the right building block to do all the use cases that they are required. Where the data. So we, again, not only meeting the customer but meeting where the data are, what the customer wants out of those data. So that's a fundamental things. And we have project Apex. So obviously we are plugging in the project Apex. From a Edge point of view, will allow the customer to have these unique experience to go in Apex and also deploy the Edge infrastructure that is needed. We're starting right now with that. So we will touch later, but that's the first building block of that journey. >> Excellent. Let's touch now. You've got some news around Apex and what are you announcing? >> So we are very excited because as I said our team it's pretty new and it's a very important investment that Dell makes. Not only in us as a team, but as a motion. So we are announcing a reference architecture with PTC. PTC is one of the biggest company for... Actually based here in Boston for manufacturing. And reference architecture will be run on base on Apex private cloud. So the customer can go to the portal, order Apex private cloud and deploy PTC on top of that. So very important things is the first step in this journey. But it's very important steps so we want to thank you also PTC to allow us to work with them. We have other stuff as well that we are announcing. I don't know if you are familiar but we have a very unique streaming data platform. Streaming data platform that can stream multiple data collected from gateway, from every place. And that it's a need. Obviously, when you need to process data in real time, whatever is streaming. What are we doing with the new streaming data platform approach is the ability to deploy single node. So it can be very appealing for the Edge and up to three nodes. >>Awesome. That's great. So a couple of comments on that. So it was funny. We did the LiveWorx show in theCUBE a couple of years ago. PTC is a big event and it was the Edge. And I remember looking around and saying "Where's all the IT vendors?". And so that's great to see you guys leaning in like that. Pierluca, the streaming platform. Tell me more about that. What's the tech behind it? >> So the streaming data platform is a project, that we start couple of year ago, is actually start from open source Pravega. It's a very interesting technology where you can stream multiple data. It's not a traditional storage. Use a technology that can really collect thousands of different streams. And that's very important when you need to mind the data. Bring the data, the structured data in efficient that you can process them at the real time. It's very important. So there are very cool use case of that. But now, that we look at the Edge, this is make more and more tangible sense because we have a lot of partners that they're working with us, especially to extend. When you have all these sensor, you bring the data to the gateways and from the gateways, then you can use data streaming platform to collect all these streams. And then you can easily process them. So it's a very fundamental technology. We are very proud of that. As I said, our enterprise version, it's getting more and more. And now we can land these on different architecture. So it can be backed up by an unison. It can be also on different storage type now. And as I said, we looking now to bring from a what was it data center kind of structure, down to the Edge because now we can put it in a single node up to three nodes. >> It makes a lot of sense. Is this like a Kafka based thing or open source or is it something you guys built or a combination? >> It's a combination. The project is an open source project but we did that. We start this many years ago. And it works with Kafka but it's not Kafka. So it has plugging that can work with Kafka and all the other things. And it's very easy to deploy. So it's a very, very important. And the other things is the scalability of this platform. >> Yeah, so I mean, that sounds like the kind of thing you had in the labs. And you said, "Okay, this is going to be important". And then boom, all of a sudden, the market comes to you. As if you pop it right in. And then of course, the Accenture relationship. Deep, deep industry expertise. So that makes a of sense. 5G's happening. A different world the next 10 years than the last 10 years. Isn't it? >> Yep. >> What is it about manufacturing? Why did you start there? >> I can take this. We looked at where the opportunity was from two perspective. One is whether what are the opportunities to sell, Dave. And the other one obviously comes with it because there's an opportunity to have. And manufacturing today at the Edge is about 30% of the opportunity in sales. According to IDC. But more so, it's been around for the longer time. And so it's maturing, it's the most demanding. And you know, it's got very long horizons of investment. And what we did was, we figured that if we can solve problems for industry, we can then extend that and solve it for everybody else. Because this would be the toughest one to solve. And we like challenge. And then, so we decided to focus and go deep. And you said it before, well, our approach is definitely horizontal approach. We cannot take an horizontal approach without verticalizing and understanding specific needs. So nobody can avoid doing both at the same time. You need to understand. But you also want to solve it in a way that doesn't proliferate the silos. So that's our role. We will understand, but we will make it more generic. So other people can never (indistinct). >> Yeah. And David, if I can add, I think the manufacturing is also very exciting for us as a technologist, right? And Dell technology, as in the name, the technology. So it's very exciting because if I look at manufacturing, we are really in the middle of a industrial transformation. I mean, it's a new era. If you think about, nobody care in the past to connect their machinery with... That they have PLC to the network. All of these is changing because the life where we live right now, with the pandemic, with the remote working, with the fact that you need to have a much more control and be able to have predictive matter. So you're not stopping your manufacturing. Is pushing the entire manufacturing institute industry to connect these machines. And with the connectivity of these machinery, you get a lot of data. You get also a lot of challenge. For example, security. So now, that's the place where connectivity brings the IT aspect in. And the OT guys, now they starting to speak (indistinct) because now it's a more complex things, right? It's not any more computerized only to one machinery. Specifically, is the entire floor. So it's a very interesting dynamics. >> Is the connection between that programmable logic controller and the Dell solution, you mentioned to secure, better security. And I presume it's also to connect back to whatever the core or the cloud, et cetera. Is it also to do something locally? Does it improve? Is there value add that you can provide locally? And what is that value add? >> Yeah, absolutely. So the value add, as I said, if you think right in the past, right? You have a machine that probably stay in the manufacturing for 20, 25 years then you have an hardware attached to that machine that they used the POC about 11 year. The guy that he knows better about that machine, is actually not the software component of it. But he's the guy that he's been working on that machine for 15 years. Now, how you translate that knowledge to a learning algorithm that actually can do that for thousand of machine. And that's really the key, right? You need to centralize information, process those information, but not in the cloud, not in a central data center, but on the manufacturing floor. And you need to have a way to represent these things in a very simple way. So the plant manager can take action, or the guy that is responsible for the entire line, can take action immediately. And that's where the change is. It's not anymore to... Is trying to extend that knowledge to multiple machine, multiple floor, and try to get these change immediately. So that's very important. >> So the PLC doesn't become a general purpose computer, or even necessarily an Uber computer. It connects to that capability because that enables data sharing across clouds. >> That's enable the entire things. You can't do a model just with one source. You need to have multiple sources. And also think about the manufacturing is changing not only for the machinery, but people that they build new manufacturing, right? They need to be smart building. They need to have a technology for being more green, solar energy consumption. So the manufacturing itself is mean five or six different things that you need to solve. It's not just the machine. So this idea of this silos environment is starting to collapse in one. And that's why it's important for us to start from a vertical, but also in the manufacturer, you already see this will expand to multiple things. Also, smart building another thing because they need it. >> Yeah. The red guilt to your point of view. Manufacturing is like the Big Apple. If you can make it there, you can make it anywhere. And you've got adjacencies that you can take the learnings, and manufacturing, and apply them to those adjacent industries. Gil, give us the last word. >> No, usually when we talk at Dell technologies world, we talk to an ideal audience. And we're thinking this year that the way to talk about Edge, at least with the people who traditionally buy from us is expose them to the fact that they are more and more going to be responsible for every projects. And so our advice would be, our hope that they would partner with us to think ahead. Just like they do with data center with our cloud strategy. Thinking ahead as they think about their Edge and try to set up some architectural guidelines. So when they do get the request, they're ready for it. And think about what they know, think about the IP best practices that they applied. All of that is coming to them. They need to be prepared as well. And so we would like to partner with all of our customers to make them ready. And obviously help them simplify, secure, consolidated as they grow. >> Well, guys, thank you. I learned a lot today. We've made a lot of progress. You know, this is the hallmark of Dell, right? It's a very high, let me make sure I get this right. Very high do to say ratio, right? As you guys talked about doing this, a couple of couple of years ago. And you've made a lot of progress and I really appreciate you coming on theCUBE to explain this strategy. It makes a lot of sense. And so congratulations and good luck in the future. >> Thank you. >> Thank you, Dave. >> All right. And thank you for watching everybody. This is Dave Vellante for theCUBE's ongoing coverage of Dell Tech World 2021, the virtual edition. Keep it right there, I'll be right back. (closing music)

>>from around the globe. It's the Cube presenting Cuban Cloud brought to you by Silicon Angle. Welcome back to the live segment of the Cuban cloud. I'm Dave, along with my co host, John Ferrier. John Rose is here. He's the global C T o Dell Technologies. John, great to see you as always, Really appreciate >>it. Absolutely good to know. >>Hey, so we're gonna talk edge, you know, the the edge, it's it's estimated. It's a multi multi trillion dollar opportunity, but it's a highly fragmented, very complex. I mean, it comprises from autonomous vehicles and windmills, even retail stores outer space. And it's so it brings in a lot of really gnarly technical issues that we want to pick your brain on. Let me start with just what to you is edge. How do you think about >>it? Yeah, I think I mean, I've been saying for a while that edges the when you reconstitute Ike back out in the real world. You know, for 10 years we've been sucking it out of the real world, taking it out of factories, you know, nobody has an email server under their desk anymore. On that was because we could put it in data centers and cloud public clouds, and you know that that's been a a good journey. And then we realized, Wait a minute, all the data actually was being created out in the real world. And a lot of the actions that have to come from that data have to happen in real time in the real world. And so we realized we actually had toe reconstitute a nightie capacity out near where the data is created, consumed and utilized. And, you know, that turns out to be smart cities, smart factories. You know, uh, we're dealing with military apparatus. What you're saying, how do you put, you know, edges in tow, warfighting theaters or first responder environments? It's really anywhere that data exists that needs to be processed and understood and acted on. That isn't in a data center. So it's kind of one of these things. Defining edge is easier to find. What it isn't. It's anywhere that you're going to have. I t capacity that isn't aggregated into a public or private cloud data center. That seems to be the answer. So >>follow. Follow that. Follow the data. And so you've got these big issue, of course, is late and see people saying, Well, some applications or some use cases like autonomous vehicles. You have to make the decision locally. Others you can you can send back. And you, Kamal, is there some kind of magic algorithm the technical people used to figure out? You know what, the right approaches? Yeah, >>the good news is math still works and way spent a lot of time thinking about why you build on edge. You know, not all things belong at the edge. Let's just get that out of the way. And so we started thinking about what does belong at the edge, and it turns out there's four things you need. You know, if you have a real time responsiveness in the full closed loop of processing data, you might want to put it in an edge. But then you have to define real time, and real time varies. You know, real time might be one millisecond. It might be 30 milliseconds. It might be 50 milliseconds. It turns out that it's 50 milliseconds. You probably could do that in a co located data center pretty far away from those devices. One millisecond you better be doing it on the device itself. And so so the Leighton see around real time processing matters. And, you know, the other reasons interesting enough to do edge actually don't have to do with real time crossing they have to do with. There's so much data being created at the edge that if you just blow it all the way across the Internet, you'll overwhelm the Internets. We have need toe pre process and post process data and control the flow across the world. The third one is the I T. O T boundary that we all know. That was the I O t. Thing that we were dealing with for a long time. And the fourth, which is the fascinating one, is it's actually a place where you might want to inject your security boundaries, because security tends to be a huge problem and connected things because they're kind of dumb and kind of simple and kind of exposed. And if you protect them on the other end of the Internet, the surface area of protecting is enormous, so there's a big shift basically move security functions to the average. I think Gardner made up a term for called Sassy. You know, it's a pretty enabled edge, but these are the four big ones. We've actually tested that for probably about a year with customers. And it turns out that, you know, seems to hold If it's one of those four things you might want to think about an edge of it isn't it probably doesn't belong in >>it. John. I want to get your thoughts on that point. The security things huge. We talked about that last time at Del Tech World when we did an interview with the Cube. But now look at what's happened. Over the past few months, we've been having a lot of investigative reporting here at Silicon angle on the notion of misinformation, not just fake news. Everyone talks about that with the election, but misinformation as a vulnerability because you have now edge devices that need to be secured. But I can send misinformation to devices. So, you know, faking news could be fake data say, Hey, Tesla, drive off the road or, you know, do this on the other thing. So you gotta have the vulnerabilities looked at and it could be everything. Data is one of them. Leighton. See secure. Is there a chip on the device? Could you share your vision on how you see that being handled? Cause it's a huge >>problem. Yeah, this is this is a big deal because, you know, what you're describing is the fact that if data is everything, the flow of data ultimately turns into the flow of information that knowledge and wisdom and action. And if you pollute the data, if you could compromise it the most rudimentary levels by I don't know, putting bad data into a sensor or tricking the sensor which lots of people can dio or simulating a sensor, you can actually distort things like a I algorithms. You can introduce bias into them and then that's a That's a real problem. The solution to it isn't making the sensors smarter. There's this weird Catch 22 when you sense arise the world, you know you have ah, you know, finite amount of power and budget and the making sensors fatter and more complex is actually the wrong direction. So edges have materialized from that security dimension is an interesting augment to those connected things. And so imagine a world where you know your sensor is creating data and maybe have hundreds or thousands of sensors that air flowing into an edge compute layer and the edge compute layer isn't just aggregating it. It's putting context on it. It's metadata that it's adding to the system saying, Hey, that particular stream of telemetry came from this device, and I'm watching that device and Aiken score it and understand whether it's been compromised or whether it's trustworthy or whether it's a risky device and is that all flows into the metadata world the the overall understanding of not just the data itself, but where did it come from? Is it likely to be trustworthy? Should you score it higher or lower in your neural net to basically manipulate your algorithm? These kind of things were really sophisticated and powerful tools to protect against this kind of injection of false information at the sensor, but you could never do that at a sensor. You have to do it in a place that has more compute capacity and is more able to kind of enriched the data and enhance it. So that's why we think edges are important in that fourth characteristic of they aren't the security system of the sensor itself. But they're the way to make sure that there's integrity in the sense arised world before it reaches the Internet before it reaches the cloud data centers. >>So access to that metadata is access to the metadata is critical, and it's gonna be it's gonna be near real time, if not real time, right? >>Yeah, absolutely. And, you know, the important thing is, Well, I'll tell you this. You know, if you haven't figured this out by looking at cybersecurity issues, you know, compromising from the authoritative metadata is a really good compromise. If you could get that, you can manipulate things that a scale you've never imagined. Well, in this case, if the metadata is actually authoritatively controlled by the edge note the edge note is processing is determining whether or not this is trustworthy or not. Those edge nodes are not $5 parts, their servers, their higher end systems. And you can inject a lot more sophisticated security technology and you can have hardware root of trust. You can have, you know, mawr advanced. PK I in it, you can have a I engines watching the behavior of it, and again, you'd never do that in a sensor. But if you do it at the first step into the overall data pipeline, which is really where the edges materializing, you can do much more sophisticated things to the data. But you can also protect that thing at a level that you'd never be able to do to protect a smart lightbulb. A thermostat in your house? >>Uh, yes. So give us the playbook on how you see the evolution of the this mark. I'll see these air key foundational things, a distributed network and it's a you know I o t trends into industrial i o t vice versa. As a software becomes critical, what is the programming model to build the modern applications is something that I know. You guys talk to Michael Dell about this in the Cuban, everyone, your companies as well as everyone else. Its software define everything these days, right? So what is the software framework? How did people code on this? What's the application aware viewpoint on this? >>Yeah, this is, uh, that's unfortunately it's a very complex area that's got a lot of dimensions to it. Let me let me walk you through a couple of them in terms of what is the software framework for for For the edge. The first is that we have to separate edge platforms from the actual edge workload today too many of the edge dialogues or this amorphous blob of code running on an appliance. We call that an edge, and the reality is that thing is actually doing two things. It's, ah, platform of compute out in the real world and it's some kind of extension of the cloud data pipeline of the cloud Operating model. Instance, he added, A software probably is containerized code sitting on that edge platform. Our first principle about the software world is we have to separate those two things. You do not build your cloud your edge platform co mingled with the thing that runs on it. That's like building your app into the OS. That's just dumb user space. Colonel, you keep those two things separate. We have Thio start to enforce that discipline in the software model at the edges. The first principle, the second is we have to recognize that the edges are are probably best implemented in ways that don't require a lot of human intervention. You know, humans air bad when it comes to really complex distributed systems. And so what we're finding is that most of the code being pushed into production benefits from using things like kubernetes or container orchestration or even functional frameworks like, you know, the server list fast type models because those low code architectures generally our interface with via AP, eyes through CCD pipelines without a lot of human touch on it. And it turns out that, you know, those actually worked reasonably well because the edges, when you look at them in production, the code actually doesn't change very often, they kind of do singular things relatively well over a period of time. And if you can make that a fully automated function by basically taking all of the human intervention away from it, and if you can program it through low code interfaces or through automated interfaces, you take a lot of the risk out of the human intervention piece of this type environment. We all know that you know most of the errors and conditions that break things are not because the technology fails it because it's because of human being touches it. So in the software paradigm, we're big fans of more modern software paradigms that have a lot less touch from human beings and a lot more automation being applied to the edge. The last thing I'll leave you with, though, is we do have a problem with some of the edge software architectures today because what happened early in the i o t world is people invented kind of new edge software platforms. And we were involved in these, you know, edge X foundry, mobile edge acts, a crane. Oh, and those were very important because they gave you a set of functions and capabilities of the edge that you kind of needed in the early days. Our long term vision, though for edge software, is that it really needs to be the same code base that we're using in data centers and public clouds. It needs to be the same cloud stack the same orchestration level, the same automation level, because what you're really doing at the edge is not something that spoke. You're taking a piece of your data pipeline and you're pushing it to the edge and the other pieces are living in private data centers and public clouds, and you like they all operate under the same framework. So we're big believers in, like pushing kubernetes orchestration all the way to the edge, pushing the same fast layer all the way to the edge. And don't create a bespoke world of the edge making an extension of the multi cloud software framework >>even though the underlying the underlying hardware might change the microprocessor, GPU might change GP or whatever it is. Uh, >>by the way, that that's a really good reason to use these modern framework because the energies compute where it's not always next 86 underneath it, programming down at the OS level and traditional languages has an awful lot of hardware dependencies. We need to separate that because we're gonna have a lot of arm. We're gonna have a lot of accelerators a lot of deep. Use a lot of other stuff out there. And so the software has to be modern and able to support header genius computer, which a lot of these new frameworks do quite well, John. >>Thanks. Thanks so much for for coming on, Really? Spending some time with us and you always a great guest to really appreciate it. >>Going to be a great stuff >>of a technical edge. Ongoing room. Dave, this is gonna be a great topic. It's a clubhouse room for us. Well, technical edge section every time. Really. Thanks >>again, Jon. Jon Rose. Okay, so now we're gonna We're gonna move to the second part of our of our technical edge discussion. Chris Wolf is here. He leads the advanced architecture group at VM Ware. And that really means So Chris's looks >>at I >>think it's three years out is kind of his time. Arise. And so, you know, advanced architecture, Er and yeah. So really excited to have you here. Chris, can you hear us? >>Okay. Uh, >>can Great. Right. Great to see you again. >>Great >>to see you. Thanks for coming on. Really appreciate it. >>So >>we're talking about the edge you're talking about the things that you see way set it up is a multi trillion dollar opportunity. It's It's defined all over the place. Uh, Joey joke. It's Could be a windmill. You know, it could be a retail store. It could be something in outer space. Its's It's it's, you know, whatever is defined A factory, a military installation, etcetera. How do you look at the edge. And And how do you think about the technical evolution? >>Yeah, I think it is. It was interesting listening to John, and I would say we're very well aligned there. You know, we also would see the edge is really the place where data is created, processed and are consumed. And I think what's interesting here is that you have a number off challenges in that edges are different. So, like John was talking about kubernetes. And there's there's multiple different kubernetes open source projects that are trying to address thes different edge use cases, whether it's K three s or Cubbage or open your it or super edge. And I mean the list goes on and on, and the reason that you see this conflict of projects is multiple reasons. You have a platform that's not really designed to supported computing, which kubernetes is designed for data center infrastructure. Uh, first on then you have these different environments where you have some edge sites that have connectivity to the cloud, and you have some websites that just simply don't write whether it's an oil rig or a cruise ship. You have all these different use cases, so What we're seeing is you can't just say this is our edge platform and, you know, go consume it because it won't work. You actually have to have multiple flavors of your edge platform and decide. You know what? You should time first. From a market perspective, I >>was gonna ask you great to have you on. We've had many chest on the Cube during when we actually would go to events and be on the credit. But we appreciate you coming into our virtual editorial event will be doing more of these things is our software will be put in the work to do kind of a clubhouse model. We get these talks going and make them really valuable. But this one is important because one of the things that's come up all day and we kind of introduced earlier to come back every time is the standardization openness of how open source is going to extend out this this interoperability kind of vibe. And then the second theme is and we were kind of like the U S side stack come throwback to the old days. Uh, talk about Cooper days is that next layer, but then also what is going to be the programming model for modern applications? Okay, with the edge being obviously a key part of it. What's your take on that vision? Because that's a complex area certain a lot of a lot of software to be written, still to come, some stuff that need to be written today as well. So what's your view on How do you programs on the edge? >>Yeah, it's a It's a great question, John and I would say, with Cove it We have seen some examples of organizations that have been successful when they had already built an edge for the expectation of change. So when you have a truly software to find edge, you can make some of these rapid pivots quite quickly, you know. Example was Vanderbilt University had to put 1000 hospital beds in a parking garage, and they needed dynamic network and security to be able to accommodate that. You know, we had a lab testing company that had to roll out 400 testing sites in a matter of weeks. So when you can start tohave first and foremost, think about the edge as being our edge. Agility is being defined as you know, what is the speed of software? How quickly can I push updates? How quickly can I transform my application posture or my security posture in lieu of these types of events is super important. Now, if then if we walk that back, you know, to your point on open source, you know, we see open source is really, uh you know, the key enabler for driving edge innovation and driving in I S V ecosystem around that edge Innovation. You know, we mentioned kubernetes, but there's other really important projects that we're already seeing strong traction in the edge. You know, projects such as edge X foundry is seeing significant growth in China. That is, the core ejects foundry was about giving you ah, pass for some of your I o T aps and services. Another one that's quite interesting is the open source faith project in the Linux Foundation. And fate is really addressing a melody edge through a Federated M L model, which we think is the going to be the long term dominant model for localized machine learning training as we continue to see massive scale out to these edge sites, >>right? So I wonder if you could You could pick up on that. I mean, in in thinking about ai influencing at the edge. Um, how do you see that? That evolving? Uh, maybe You know what, Z? Maybe you could We could double click on the architecture that you guys see. Uh, progressing. >>Yeah, Yeah. Right now we're doing some really good work. A zai mentioned with the Fate project. We're one of the key contributors to the project. Today. We see that you need to expand the breath of contributors to these types of projects. For starters, uh, some of these, what we've seen is sometimes the early momentum starts in China because there is a lot of innovation associated with the edge there, and now it starts to be pulled a bit further West. So when you look at Federated Learning, we do believe that the emergence of five g I's not doesn't really help you to centralized data. It really creates the more opportunity to create, put more data and more places. So that's, you know, that's the first challenge that you have. But then when you look at Federated learning in general, I'd say there's two challenges that we still have to overcome organizations that have very sophisticated data. Science practices are really well versed here, and I'd say they're at the forefront of some of these innovations. But that's 1% of enterprises today. We have to start looking at about solutions for the 99% of enterprises. And I'd say even VM Ware partners such as Microsoft Azure Cognitive Services as an example. They've been addressing ML for the 99%. I say That's a That's a positive development. When you look in the open source community, it's one thing to build a platform, right? Look, we love to talk about platforms. That's the easy part. But it's the APS that run on that platform in the services that run on that platform that drive adoption. So the work that we're incubating in the VM, or CTO office is not just about building platforms, but it's about building the applications that are needed by say that 99% of enterprises to drive that adoption. >>So if you if you carry that through that, I infer from that Chris that the developers are ultimately gonna kind of win the edge or define the edge Um, How do you see that From their >>perspective? Yeah, >>I think its way. I like to look at this. I like to call a pragmatic Dev ops where the winning formula is actually giving the developer the core services that they need using the native tools and the native AP eyes that they prefer and that is predominantly open source. It would some cloud services as they start to come to the edge as well. But then, beyond that, there's no reason that I t operations can't have the tools that they prefer to use. A swell. So we see this coming together of two worlds where I t operations has to think even for differently about edge computing, where it's not enough to assume that I t has full control of all of these different devices and sensors and things that exists at the edge. It doesn't happen. Often times it's the lines of business that air directly. Deploying these types of infrastructure solutions or application services is a better phrase and connecting them to the networks at the edge. So what does this mean From a nightie operations perspective? We need tohave, dynamic discovery capabilities and more policy and automation that can allow the developers to have the velocity they want but still have that consistency of security, agility, networking and all of the other hard stuff that somebody has to solve. And you can have the best of both worlds here. >>So if Amazon turned the data center into an A P I and then the traditional, you know, vendors sort of caught up or catching up and trying to do in the same premise is the edge one big happy I Is it coming from the cloud? Is it coming from the on Prem World? How do you see that evolving? >>Yes, that's the question and races on. Yeah, but it doesn't. It doesn't have to be exclusive in one way or another. The VM Ware perspective is that, you know, we can have a consistent platform for open source, a consistent platform for cloud services. And I think the key here is this. If you look at the partnerships we've been driving, you know, we've on boarded Amazon rds onto our platform. We announced the tech preview of Azure Arc sequel database as a service on our platform as well. In addition, toe everything we're doing with open source. So the way that we're looking at this is you don't wanna make a bet on an edge appliance with one cloud provider. Because what happens if you have a business partner that says I am a line to Google or on the line to AWS? So I want to use this open source. Our philosophy is to virtualized the edge so that software can dictate, you know, organizations velocity at the end of the day. >>Yeah. So, Chris, you come on, you're you're an analyst at Gartner. You know us. Everything is a zero sum game, but it's but But life is not like that, right? I mean, there's so much of an incremental opportunity, especially at the edge. I mean, the numbers are mind boggling when when you look at it, >>I I agree wholeheartedly. And I think you're seeing a maturity in the vendor landscape to where we know we can't solve all the problems ourselves and nobody can. So we have to partner, and we have to to your earlier point on a P. I s. We have to build external interfaces in tow, our platforms to make it very easy for customers have choice around ice vendors, partners and so on. >>So, Chris, I gotta ask you since you run the advanced technology group in charge of what's going on there, will there be a ship and focus on mawr ships at the edge with that girl singer going over to intel? Um, good to see Oh, shit, so to speak. Um, all kidding aside, but, you know, patch leaving big news around bm where I saw some of your tweets and you laid out there was a nice tribute, pat, but that's gonna be cool. That's gonna be a didn't tell. Maybe it's more more advanced stuff there. >>Yeah, I think >>for people pats staying on the VMRO board and to me it's it's really think about it. I mean, Pat was part of the team that brought us the X 86 right and to come back to Intel as the CEO. It's really the perfect book end to his career. So we're really sad to see him go. Can't blame him. Of course it's it's a It's a nice chapter for Pat, so totally understand that. And we prior to pack going to Intel, we announced major partnerships within video last year, where we've been doing a lot of work with >>arm. So >>thio us again. We see all of this is opportunity, and a lot of the advanced development projects were running right now in the CTO office is about expanding that ecosystem in terms of how vendors can participate, whether you're running an application on arm, whether it's running on X 86 or whatever, it's running on what comes next, including a variety of hardware accelerators. >>So is it really? Is that really irrelevant to you? I mean, you heard John Rose talk about that because it's all containerized is it is. It is a technologies. Is it truly irrelevant? What processor is underneath? And what underlying hardware architectures there are? >>No, it's not. You know it's funny, right? Because we always want to say these things like, Well, it's just a commodity, but it's not. You didn't then be asking the hardware vendors Thio pack up their balls and go home because there's just nothing nothing left to do, and we're seeing actually quite the opposite where there's this emergence and variety of so many hardware accelerators. So even from an innovation perspective, for us. We're looking at ways to increase the velocity by which organizations can take advantage of these different specialized hardware components, because that's that's going to continue to be a race. But the real key is to make it seamless that an application could take advantage of these benefits without having to go out and buy all of this different hardware on a per application basis. >>But if you do make bets, you can optimize for that architecture, true or not, I mean, our estimate is that the you know the number of wafer is coming out of arm based, you know, platforms is 10 x x 86. And so it appears that, you know, from a cost standpoint, that's that's got some real hard decisions to make. Or maybe maybe they're easy decisions, I don't know. But so you have to make bets, Do you not as a technologist and try to optimize for one of those architectures, even though you have to hedge those bets? >>Yeah, >>we do. It really boils down to use cases and seeing, you know, what do you need for a particular use case like, you know, you mentioned arm, you know, There's a lot of arm out at the edge and on smaller form factor devices. Not so much in the traditional enterprise data center today. So our bets and a lot of the focus there has been on those types of devices. And again, it's it's really the It's about timing, right? The customer demand versus when we need to make a particular move from an innovation >>perspective. It's my final question for you as we wrap up our day here with Great Cuban Cloud Day. What is the most important stories in in the cloud tech world, edge and or cloud? And you think people should be paying attention to that will matter most of them over the next few years. >>Wow, that's a huge question. How much time do we have? Not not enough. A >>architect. Architectural things. They gotta focus on a lot of people looking at this cove it saying I got to come out with a growth strategy obvious and clear, obvious things to see Cloud >>Yeah, yeah, let me let me break it down this way. I think the most important thing that people have to focus on >>is deciding How >>do they when they build architectures. What does the reliance on cloud services Native Cloud Services so far more proprietary services versus open source technologies such as kubernetes and the SV ecosystem around kubernetes. You know, one is an investment in flexibility and control, lots of management and for your intellectual property, right where Maybe I'm building this application in the cloud today. But tomorrow I have to run it out at the edge. Or I do an acquisition that I just wasn't expecting, or I just simply don't know. Sure way. Sure hope that cova doesn't come around again or something like it, right as we get past this and navigate this today. But architect ng for the expectation of change is really important and having flexibility of round your intellectual property, including flexibility to be able to deploy and run on different clouds, especially as you build up your different partnerships. That's really key. So building a discipline to say you know what >>this is >>database as a service, it's never going to define who I am is a business. It's something I have to do is an I T organization. I'm consuming that from the cloud This part of the application sacked that defines who I am is a business. My active team is building this with kubernetes. And I'm gonna maintain more flexibility around that intellectual property. The strategic discipline to operate this way among many of >>enterprise customers >>just hasn't gotten there yet. But I think that's going to be a key inflection point as we start to see. You know, these hybrid architectures continue to mature. >>Hey, Chris. Great stuff, man. Really appreciate you coming on the cube and participate in the Cuban cloud. Thank you for your perspectives. >>Great. Thank you very much. Always a pleasure >>to see you. >>Thank you, everybody for watching this ends the Cuban Cloud Day. Volonte and John Furry. All these sessions gonna be available on demand. All the write ups will hit silicon angle calm. So check that out. We'll have links to this site up there and really appreciate you know, you attending our our first virtual editorial >>event again? >>There's day Volonte for John Ferrier in the entire Cube and Cuba and Cloud Team >>Q 3 65. Thanks >>for watching. Mhm

>>Yeah. >>Welcome back for our last session of the day how to deliver career making business outcomes with Search and AI. So we're very lucky to be hearing from Canada. Canadian Tire, one of Canada's largest and most successful retailers, have been powered 4.5 1000 employees to maximize the value of data with self service insights. So today we're joining us. We have Yarrow Baturin, who is the manager of Merch analytics and planning to support at Canadian Tire and then also Andrea Frisk, who is the engagement manager manager for thoughts. What s O U R Andrea? Thanks so much for being here. And with >>that, >>I'll pass the mic to you guys. >>Thank you for having us. Um, already, I I think I'll start with an introduction off who I am, what I do. A Canadian entire on what Canadian pair is all about. So, as a manager of Merch analytics at Canadian Tire, I support merchant organization with reporting tools, and then be I platform to enable decision making on a day to day basis. What is? Canadian Tire's Canadian tire is one of the largest retailers in Canada. Um, serving Canadians with a number of lines of business spanning automotive fixing, living, playing and SNG departments. We have a number of banners, including sport check Marks Party City Phl that covers more than 1700 locations. So as an organization, we've got vast variety of different data, whether it's product or loyalty. Now, as the time goes on, the number of asks the number off data points. The complexity of the analysis has been increasing on banned traditional tools. Analytical tools such as Excel Microsoft Access do find job but start hitting their limitations. So we started on the journey of exploring what other B I platforms would be suitable for our needs. And the criteria that we thought about as we started on that journey is to make sure that we enable customization as well as the McCarthy ization of data. What does that mean? That means we wanted to ensure that each one of the end users have ability to create their own versions off the report while having consistency from the data standpoint, we also wanted Thio ensure that they're able to create there at hawks search queries and draw insights based on the desired business needs. As each one of our lines of business as each one of our departments is quite unique in their nature. And this is where thoughts about comes into play. Um, you checked off all the boxes? Um, as current customers, as potential customers, you will discover that this is the tool that allows that at hawks search ability within a matter of seconds and ability to visualize the information and create those curated pin boards for each one of the business units, depending on what the needs are. And now where? I guess well, Andrea will talk a little bit more about how we gained adoption, but the usage was like and how we, uh, implemented the tool successfully in the organization. >>Okay, so I actually used to work for Canadian tire on DSO. During that time, I helped Thio build training and engaging users to sort of really kick start our use cases. Andi, the ongoing process of adopting thought spot through Canadian Tire s 01 of the sort of reasons that we moved into using thought spot was there was a need Thio evolve, um, in order to see the wealth of data that we had coming in. So the existing reporting again. And this is this sort of standard thoughts bought fix is, um, it brings the data toe. Everyone on git makes it more accessible, so you get more out of your data. So we want to provide users with the ability to customize what they could see and personalized three information so that they could get their specific business requirements out of the data rather than relying on the weekly monthly quarterly reporting. That was all usually fairly generic eso without the ability to deep dive in. So this gave the users the agility thio optimize their campaigns, optimize product murder, urgency where products are or where there's maybe supply chain gaps. Andi just really bring this out for trillions of rose to become accessible. Thio the Canadian tire. That's what user base think. That's the slide. >>That's the slight, Um So as Andrea talked about the business use of the particular tool, let's talk a little bit about how we set it up and a wonderful journey of how it's evolved. So we first implemented 5.3 version of that spot on the Falcon server on we've been adding horsepower to it over time. Now mhm. What I want to stress is the importance off the very first, Data said. That goes into the tool toe. Actually engage the users and to gain the adoption and to make sure there is no argument whether the tool is accurate or not. So what we've started with is a key p I marked layer with all the major metrics that we have and all the available permutations and combinations off the dimensions, whether it's a calendar dimension, proud of dimension or, let's say, customer attribute now, as we started with that data set, we wanted to make sure that we're we have the ability to add and the dimensions right. So now, as we're implementing the tool, we're starting to add in more dimension tables to satisfy the needs off our clients if you want to call it that way as they want to evolve their analytics. So we started adding in some of the store attributes we started adding in some of the product attributes on when I refer to a product attributes, let's say, uh, it involves costs and involves prices involved in some of the strategic internal pieces that we're thinking about now as the comprehensive mark contains right now, in our instance, close to five billion records. This is where it becomes the one source of truth for people declaring information against right so as they go in, we also wanted to make sure when they Corey thought spot there, we're really Onley. According one source of data. One source of truth. It became apparent over time, obviously, that more metrics are needed. They might not be all set up in that particular mark. And that's when we went on the journey off implementing some of the new worksheets or some of the new data sets particularly focused on the four looking pieces. And uh, that's where it becomes important to say This is how you gain the interest and keep the interests of the public right. So you're not just implementing a number off data sets all at once and then letting the users be you're implementing pieces and stages. You're keeping the interest thio, the tool relevant. You're keeping, um, the needs of the public in mind. Now, as you can imagine on the Falcon server piece, um, adding in the horsepower capacity might become challenging the mawr. Billions of Rosie erratic eso were actually in the middle of transitioning our environment to azure in snowflake so that we can connect it. Thio embrace capability of thoughts cloud. And that's where I'm looking forward to that in 2021 I truly believe this will enable us Thio increase the speed off adoption Increase the speed of getting insights out of the tool and scale with regards Thio new data sets that we're thinking about implementing as we're continuing our thoughts about journey >>Okay, so how we drove adoption Thio 4500 plus users eso When we first started Thio approach our use case with the merchants within Canadian Tire We had meetings with these users with who are used place is gonna be with and sort of found out. What are they searching for, Where they typically looking at what existing reports are available for them. Andi kind of sought out to like, What are those things where you're pulling this on your own or someone else's pulling this data because it's not accessible yet And we really use that as our foundation to determine one what data we needed to initially bring into the system but also to sort of create those launchpad pin boards that had the base information that the users we're gonna need so that we could twofold, make it easy for them, toe adopt into the tool and also quickly start Thio, deactivate or discontinue those reports. And just like these air now only available in thought spot because with the sort of formatting within thought spot around dates, it's really easy to make this year's report last year report etcetera. Just have everything roll over every month or a recorder s. So that was kind of some of the pre work foundation when we originally did it. But really, it's been a lot of training, a lot of training. So we conducted ah, lot of in person training, obviously pre co vid eso. We've started to train the group that we targeted, which was the merchants and all of the like, surrounding support groups. Eso we had planners going in and training as well, so that everyone who was really closely connected to the merchants I had an idea of what thoughts about what was and how to use it and where the reports were, and so we just sort of rolled it out that way, and then it started to fly like wildfire. Eso the merchants start to engage with supply chain to have conversations, or the merchants were engaging with the vendors to sort of have negotiations about pricing. And they're creating these reports and getting the access to the information so quickly, and they're sharing it out that we had other groups just coming to us asking, How do I get into thoughts about how can I get in on DSO on top of those groups, we also sought out other heavy analytics groups such a supply chain where we felt like they could have the same benefits if they on boarded into thought spot with their data as well on Ben. Just continuing to evolve the training roll out. Um, you know, we continued to engage with the users, >>so >>we had a newsletter briefly Thio, sort of just keep informing users of the new data coming in or when we actually upgraded our system. So the here are the new features that you'll start seeing. We did virtual trainings and maintaining an F A Q document with the incoming questions from the users, and then eventually evolved into a self guided learning so that users that were coming to a group, or maybe we've already done a full rollout could come in and have the opportunity to learn how to use thought spot, have examples that were relevant to the business and really get started. Eso then each use case sort of after our initial started to build into a formula of the things that we needed to have. So you need to understand it. Having SMEs ready and having the database Onda worksheets built out sort of became the step by step path to drive adoption. Um, from an implementation timeline, I think they're saying, Took about two months and about half of that waas Kenny entire figuring out how figuring out our security, how to get the data in on, Do we need the time to set up the environment and get on Falcon? So then, after that initial two months, then each use case that we come through. Generally, we've got users trained and SMEs set up within about 2 to 3 weeks after the data is ingested. It's not obviously, once snowflakes set up on the data starts to get into that and the data feeds in, then you're really just looking at the 2 to 3 weeks because the data is easily connected in, >>um, no. All right, let's talk about some of the use cases. So we started with what data we've implemented. Andrea touched upon what Use a training look like what the back curate that piece wants. Now let's talk a little bit about use cases and how we actually leverage thoughts bought together the insights. So the very first one is ultimately the benefit of the tool to the entire organization. Israel Time insights. To reiterate what Andrea said, we first implemented the tool with our buyers. They're the nucleus of any retail organization as they work with everybody within the company and as the buyer's eyes, Their responsibility to ensure both the procurement and the sales channel, um, stays afloat at the end of the day, right? So they need information on a regular basis. They needed fast. They needed timely, and they needed in a fashion that they choose to digest it. It right? Not every business is the same. Not every individual is the same. They consume digest, analyze information differently. And that's what that's what allows you to dio whether it's the search, whether it's a customized onboard, please now supply chain unexpected things. As Andrea mentioned Irish work a lot of supply chain. What is the goal of supply chain to receive product and to be able to ship that product to the stores Now, as our organization has been growing and is doing extremely well, we've actually published Q three results recently. Um, the aspect off prioritization at D C level becomes very important, And what drives some of that prioritization is the analysis around what the upcoming sales would be for specific products for specific categories. And that's where again thoughts. But is one of the tools that we've utilized recently to set our prioritization logic from both inbound and outbound us. It's right because it gives you most recent results. It gives you most granular results, depending on the business problem that you're trying to tackle. Now let's chat a little bit about covert 19 response, because this one is an extremely interesting case as a pandemic hit back in March. Um, as you can imagine, the everyday life a Canadian entire became as business unusual is our executives referred to it under business unusual. This speed and the intensity of the insights and the analytics has grown exponentially. And the speed and the intensity of the insights is driven by the fact that we were trying Thio ensure that we have the right selection of products for our Canadian customers because that's ultimately bread and butter off all of the retailers is the customers, right? So thoughts bought allowed us to have early trends off both sales and inventory patterns, where, whether we were stalking out of some of the products in specific stories of provinces, whether we saw some of the upload off different lines of business, depending on the region, ality right as pandemic hit, for example, um, gym's closed restaurants closed. So as Canadian pack carries a wide variety of different lines of business, we actually offer a wide selection of exercise equipment and accessories, cycling products as well as the kitchen appliances and kitchen accessories pieces. Right? So all of those items started growing exponentially and in certain areas more than others. And this is where thoughts about comes into play. A typical analysis on what the region ality of the sales has been over the last couple of days, which is lifetime and pandemic terms, um, could have taken days weeks for analysts to ultimately cobbled together an Excel spreadsheet. Meanwhile, it can take a couple of seconds for 12 Korean tosspot set up a PIN board that can be shared through a wide variety of individuals rather than fording that one Excel spreadsheet that gets manipulated every single time. And then you don't get the right inside. So from again merch supply chain covert response aspect of things. That spot has been one of those blessings and one of those amazing tools to utilize and improve the speed off insights, improved the speed of analytics and improve the speed of decision making that's ultimately impacting, then consumer at the store level. So Andrea talked about 4500 users that we have that number of school. But what I owe the recently like to focus on, uh, Andrew and I laughing because I think the last time we've spoken at a larger forum with the fastball community, I think we had only 500 users. That was in the beginning >>of the year in in February, we were aiming to have like 1000 >>exactly. So mission accomplished. So we've got 4500 employees now. Everybody asked me, Yeah, that's a big number, but how many times do people actually log in on a weekly or daily basis? I'm or interested in that statistic? So lately, um, we've had more than 400 users on the weekly basis. What's what's been cool lately is, uh, the exponential growth off ad hoc ways. So throughout October, we've reached a 75,000 ad hoc ways in our system and about 13,000 PIN board views. So why is that's that's significant? We started off, I would say, in January of 2020 when Andrea refers to it, I think we started off with about 40 45,000 ad hoc worries a month. So again, that was cool. But at the end of the day, we were able to thio double that amount as more people migrate to act hawk searches from PIN board views, and that's that's a tremendous phenomena, because that's what that's about is all about. So I touched upon a little bit about exercise and cycling. So these are our quarterly results for Q two, um, that have showed tremendous growth that we did not plan for, that we were able to achieve with, ultimately the individuals who work throughout the organization, whether it's the merch organization or whether it's the supply chain side of the business. But coming together and utilizing a B I platform by tools such a hot spot, we can see triple digit growth results. Eso What's next for us users at Hawks searches? That's fantastic. I would still like to get to more than 1200 people on the weekly basis. The cool number to me is if all of our lifetime users were you were getting into the tool on a weekly basis. That would be cool. And what's proven to be true is ultimately the only way to achieve it is to keep surprising and delighting them and your surprising and delighting them with the functionality of the tool. With more of the relevant content and ultimately data adding in more data, um, is again possible through ET else, and it's possible through pulling that information manually. But it's expensive, expensive not from the sense of monetary value, but it's expensive from the size time, all of those aspects of things So what I'm looking forward to is migrating our platform to azure in snowflake and being able thio scale our insights accordingly. Toe adding more data to Adam or incites more, uh, more individual worksheets and data sets for people to Korea against helps the each one of the individuals learn. Get some of the insights. Helps my team in particular be, well, more well versed in the data that we have existing throughout the organization. Um, and then now Andrea, in touch upon how we scale it further and and how each one of the individuals can become better with this wonderful >>Yeah, soas used a zero mentioned theater hawk searches going up. It's sort of it's a little internal victory because our starting platform had really been thio build the pin boards to replicate what the users were already expecting. So that was sort of how we easily got people in. And then we just cut off the tap Thio, whatever the previous report waas. So it gave them away. Thio get into the tool and understand the information. So now that they're using ad hoc really means they understand the tool. Um, then they they have the data literacy Thio access the information and use it how they need. So that's it's a really cool piece. Um, that worked on for Canadian tire. A very report oriented and heavy organization. So it was a good starting platforms. So seeing those ad hoc searches go up is great. Um, one of the ways that we sort of scaled out of our initial group and I kind of mentioned this earlier I sort of stepped on my own toes here. Um is that once it was a proven success with the merchants and it started to spread through word of mouth and we sought out the analyst teams. Um, we really just kept sort of driving the insights, finding the data and learning more about the pieces of the business. As you would like to think he knows everything about everything. He only knows what he knows. Eso You have to continue to cultivate the internal champions. Um Thio really keep growing the adoption eso find this means that air excited about the possibility of using thought spot and what they can do with it. You need to find those people because they're the ones who are going to be excited to have this rapid access to the information and also to just be able to quickly spend less time telling a user had access it in thought spot. Then they would running the report because euro mentioned we basically hit a curiosity tax, right? You you didn't want to search for things or you didn't want to ask questions of the data because it was so conversed. Um, it was took too much time to get the data. And if you didn't know exactly what you were looking for, it was worse. So, you know, you wouldn't run a query and be like, Oh, that's interesting. Let me let me now run another query of all that information to get more data. Just not. It's not time effective or resource effective. Actually, at the point, eso scaling the adoption is really cultivating those people who are really into it as well. Um, from a personal development perspective, sort of as a user, I mean, one who doesn't like being smartest person in the room on bought spot sort of provides that possibility. Andi, it makes it easier for you to get recognized for delivering results on Dahlia ble insights and sort of driving the business forward. So you know, B b that all star be the Trailblazer with all the answers, and then you can just sort of find out what really like helping the organization realized the power of thought spot on, baby. Make it into a career. >>Amazing. I love love that you've joined us, Andrea. Such a such an amazing create trajectory. No bias that all of my s o heaps of great information there. Thank you both. So much for sharing your story on driving such amazing adoption and the impact that you've been able to make a T organization through. That we've got a couple of minutes remaining. So just enough time for questions. Eso Andrea. Our first questions for you from your experience. What is one thing you would recommend to new thoughts about users? >>Um, yeah, I would say Be curious and creative. Um, there's one phrase that we used a lot in training, which was just mess around in the tool. Um, it's sort of became a catchphrase. It is really true. Just just try and use it. You can't break. It s Oh, just just play around. Try it you're only limitation of what you're gonna find is your own creativity. Um, and the last thing I would say is don't get trapped by trying to replicate things. Is that exactly as they were? B, this is how we've always done it. Isin necessarily The the best move on day isn't necessarily gonna find new insights. Right. So the change forces you thio look at things from a different perspective on defined. Find new value in the data. >>Yeah, absolutely. Sage advice there. Andan another one here for Yaro. So I guess our theme for beyond this year is analytics meets Cloud Open for everyone. So, in your experience, what does What does that mean for you? >>Wonderful question. Yeah. Listen, Angela Okay, so to me, in short, uh, means scale and it means turning Yes. Sorry. No, into a yes. Uh, no, I'm gonna elaborate. Is interest is laughing at me a little bit. That's right. >>I can talk >>Fancy Two. Okay, So scale from the scale perspective Cloud a zai touched upon Throw our conversation on our presentation cloud enables your ability Thio store have more data, have access to more data without necessarily employing a number off PTL developers and going toe a number of security aspect of things in different data sources now turning a no into a yes. What does that mean with more data with more scalability? Um, the analytics possibilities become infinite throughout my career at Canadian Tire. Other organizations, if you don't necessarily have access thio data or you do not have the necessary granularity, you always tell individuals No, it's not possible. I'm not able to deliver that result. And quite often that becomes the norm, saying no becomes the norm. And I think what we're all striving towards here on this call Aziz part the conference is turning that no one say yes on then making a yes a new, uh, standard a new form. Um, as we have more access to the data, more access to the insights. So that would be my answer. >>Love it. Amazing. Well, that kind of brings in into this session. So thank you, everyone for joining us today on did wrap up this dream. Don't miss the upcoming product roadmap eso We'll be sticking around to speak thio some of the speakers you heard earlier today and I'll make the experts round table, and you can absolutely continue the conversation with this life. Q. On Q and A So you've got an opportunity here to ask questions that maybe keep you up at night. Perhaps, but yet stay tuned for the meat. The experts secrets to scaling analytics adoption after the product roadmap session. Thanks everyone. And thank you again for joining us. Guys. Appreciate it. >>Thank you. Thanks. Thanks.

>>Yeah, yeah. >>Welcome back to session, too. Thoughts about everywhere. Unlock new revenue streams with embedded search and I Today we're joined by our senior director of Global Oh am Rick Dimel, along with speakers from our thoughts about customer Hayes to discuss how thought spot is open for everyone by unlocking unprecedented value through data search in A I, you'll see how thoughts about compound analytics in your applications and hear how industry leaders are creating new revenue streams with embedded search and a I. You'll also learn how to increase app stickiness on how to create an autonomous this experience for your end users. I'm delighted to introduce our senior director of Global OPM from Phillips Spot, Rick DeMARE on then British Ramesh, chief technology officer, and Leon Roof, director of product management, both from Hayes over to you. Rick, >>Thank you so much. I appreciate it. Hi, everybody. We're here to talk to you about Fox Spot everywhere are branded version of our embedded analytics application. It really our analytics application is all about user experience. And in today's world, user experience could mean a lot of things in ux design methodologies. We want to talk about the things that make our product different from an embedded perspective. If you take a look at what product managers and product design people and engineers are doing in this space, they're looking at a couple of key themes when they design applications for us to consume. One of the key things in the marketplace today is about product led growth, where the product is actually the best marketing tool for the business, not even the sales portion or the marketing department. The product, by the word of mouth, is expanding and getting more people onto the system. Why is that important? It's important because within the first few days of any application, regardless of what it is being used binding users, 70% of those users will lose. Interest will stop coming back. Why do they stop coming back? Because there's no ah ha moment through them. To get engaged within the technology, today's technologies need to create a direct relationship with the user. There can't be a gatekeeper between the user and the products, such as marketing or sales or information. In our case. Week to to make this work, we have toe leverage learning models in leverage learning as it's called Thio. Get the user is engaged, and what that means is we have to give them capabilities they already know how to use and understand. There are too many applications on the marketplace today for for users to figure out. So if we can leverage the best of what other APS have, we can increase the usage of our systems. Because in today's world, what we don't want to do from a product perspective is lead the user to a dead end or from a product methodology. Our perspective. It's called an empty state, and in our world we do that all the time. In the embedded market place. If you look at at the embedded marketplace, it's all visualizations and dashboards, or what I call check engine lights in your application's Well, guess what happens when you hit a check engine life. You've got to call the dealer to get more information about what just took place. The same thing happens in the analytic space where we provide visualizations to users. They get an indicator, but they have to go through your gatekeepers to get access to the real value of that data. What am I looking at? Why is it important the best user experiences out on the marketplace today? They are autonomous. If we wanna leverage the true value of digital transformation, we have to allow our developers to develop, not have them, the gatekeepers to the rial, content to users want. And in today's world, with data growing at much larger and faster levels than we've ever seen. And with that shelf life or value of that data being much shorter and that data itself being much more fragmented, there's no developer or analysts that can create enough visualizations or dashboards in the world to keep the consumption or desire for these users to get access to information up to speed. Clients today require the ability to sift through this information on their own to customize their own content. And if we don't support this methodology, our users are gonna end up feeling powerless and frustrated and coming back to us. The gatekeepers of that information for more information. Loyalty, conversely, can be created when we give the users the ability toe access this information on their own. That is what product like growth is all about in thought spot, as you know we're all about search. It's simple. It's guided as we type. It gives a super fast responses, but it's also smart on the back end handling complexities, and it's really safe from a governance and as well as who gets access to what perspective it's unknown learned environment. Equally important in that learned environment is this expectation that it's not just search on music. It's actually gonna recommend content to me on the fly instantly as I try content I might not even thought of before. Just the way Spotify recommends music to us or Netflix recommends a movie. This is a expected learned behavior, and we don't want to support that so that they can get benefit and get to the ah ha moments much quicker. In the end, which consumption layer do you want to use, the one that leads you to the Dead End Street or the one that gets you to the ah ha moment quickly and easily and does it in an autonomous fashion. Needless to say, the benefits of autonomous user access are well documented today. Natural language search is the wave of the future. It is today. By 2004 75% of organizations are going to be using it. The dashboard is dead. It's no longer going to be utilized through search today, I if we can improve customer satisfaction and customer productivity, we're going to increase pretensions of our retention of our applications. And if we do that just a little bit, it's gonna have a tremendous impact to our bottom line. The way we deploy hotspots. As you know, from today's conversations in the cloud, it could be a manage class, not offering or could be software that runs in your own VPC. We've talked about that at length at this conference. We've also talked about the transformation of application delivery from a Cloud Analytics perspective at length here it beyond. But we apply those same principles to your product development. The benefits are astronomical because not only do you get architectural flexibility to scale up and scale down and right size, but your engineers will increase their productivity because their offerings, because their time and effort is not going to be spent on delivering analytics but delivering their offerings. The speed of innovation isn't gonna be released twice a year or four times a year. It's gonna It can happen on a weekly basis, so your time to market in your margins should increase significantly. At this point, I want a hand. The microphone over to Revert. Tesche was going to tell you a little bit about what they're doing. It hes for cash. >>Thanks, Rick. I just want to introduce myself to the audience. My name is Rotational. Mention the CTO Europe ace. I'm joined my today by my colleague Gillian Ruffles or doctor of product management will be demoing what we have built with thoughts about, >>um but >>just to my introduction, I'm going to talk about five key things. Talk about what we do. What hes, uh we have Really, um what we went through the select that spot with other competitors What we have built with that spot very quickly and last but not least, some lessons learned during the implementation. So just to start with what we do, uh, we're age. We are health care compliance and revenue integrity platform were a saas platform voter on AWS were very short of l A. That's it. Use it on these around 1 50 customers across the U. S. On these include large academic Medical Insight on. We have been in the compliant space for the last 30 plus years, and we were traditionally consulting company. But very recently we have people did more towards software platform model, uh, in terms off why we chose that spot. There were three business problems that I faced when I took this job last year. At age number one is, uh, should be really rapidly deliver new functionality, nor platform, and he agile because some of our product development cycles are in weeks and not months. Hey had a lot of data, which we collected traditionally from the SAS platform, and all should be really create inside stretch experience for our customers. And then the third Big one is what we saw Waas large for customers but really demanding self service capabilities. But they were really not going for the static dash boats and and curated content, but instead they wanted to really use the cell service capabilities. Thio mind the data and get some interesting answers during their questions. So they elevated around three products around these problems statements, and there were 14 reasons why we just start spot number one wars off course. The performance and speed to insights. Uh, we had around 800 to a billion robot of data and we wanted to really kind of mind the data and set up the data in seconds on not minutes and hours. We had a lot of out of the box capabilities with that spot, be it natural language search, predictive algorithms. And also the interactive visualization, which, which was which, Which gave us the agility Thio deliver these products very quickly. And then, uh, the end user experience. We just wanted to make sure that I would users can use this interface s so that they can very quickly, um, do some discovery of data and get some insights very quickly. On last but not least, talksport add a lot of robust AP ice around the platform which helped us embed tot spot into are offering. But those are the four key reasons which we went for thoughts part which we thought was, uh, missing in in the other products we evaluated performance and search, uh, the interactive visualization, the end user experience, and last but not least flexible AP ice, which we could customize into our platform in terms of what we built. We were trying to solve to $50 billion problem in health care, which is around denials. Um so every year, around 2, 50 to $300 billion are denied by players thes air claims which are submitted by providers. And we built offering, which we called it US revenue optimizer. But in plain English, what revenue optimizer does is it gives the capability tow our customers to mind that denials data s so that they can really understand why the claims were being denied. And under what category? Recent reasons. We're all the providers and quarters who are responsible for these claims, Um, that were dryland denials, how they could really do some, uh, prediction off. It is trending based on their historical denial reasons. And then last but not least, we also build some functionality in the platform where we could close the loop between insights, action and outcome that Leon will be showing where we could detect some compliance and revenue risks in the platform. On more importantly, we could, uh, take those risks, put it in a I would say, shopping card and and push it to the stakeholders to take corrective action so the revenue optimizer is something which we built in three months from concept to lunch and and that that pretty much prove the value proposition of thoughts. But while we could kind of take it the market within a short period of time Next leopard >>in terms >>off lessons learned during the implementation thes air, some of the things that came to my mind asses, we're going through this journey. The first one is, uh, focus on the use case formulation, outcomes and wishful story boarding. And that is something that hot spot that's really balance. Now you can you can focus on your business problem formulation and not really focus on your custom dash boarding and technology track, etcetera. So I think it really helped our team to focus on the versus problem, to focus on the outcomes from the problem and more importantly, really spend some time on visualizing What story are we say? Are we trying to say to our customers through revenue optimizer The second lesson learned first When we started this implementation, we did not dualistic data volume and capacity planning exercise and we learned it our way. When we are we loaded a lot of our data sets into that spot. And then Aziz were doing performance optimization. XYZ. We figured out that we had to go back and shot the infrastructure because the data volumes are growing exponentially and we did not account for it. So the biggest lesson learned This is part of your architectural er planning, exercise, always future proof your infrastructure and make sure that you work very closely with the transport engineering team. Um, to make sure that the platform can scale. Uh, the last two points are passport as a robust set of AP Ice and we were able to plug into those AP ice to seamlessly ended the top spot software into a platform. And last but not least, one thing I would like to closest as we start these projects, it's very common that the solution design we run into a lot of surprises. The one thing I should say is, along those 12 weeks, we very closely work with the thoughts, part architecture and accounting, and they were a great partner to work with us to really understand our business problem, and they were along the way to kind of government suggested, recommends and workarounds and more importantly, also, helpers put some other features and functionality which you requested in their engineering roadmap. So it's been a very successful partnership. Um, So I think the biggest take of it is please make sure that you set up your project and operating model value ember thoughts what resources and your team to make sure that they can help you as you. It's some obstacles in the projects so that you can meet your time ones. Uh, those are the key lessons learned from the implementation. And with that, I would pass this to my colleague Leon Rough was going to show you a demo off what we go. >>Thanks for Tesh. So when we were looking Thio provide this to our customer base, we knew that not everyone needed do you access or have available to them the same types of information or at the same particular level of information. And we do have different roles within RMD auto Enterprise platform. So we did, uh, minimize some roles to certain information. We drew upon a persona centric approach because we knew that those different personas had different goals and different reasons for wanting to drive into these insights, and those different personas were on three different levels. So we're looking at the executive level, which is more on the C suite. Chief Compliance Officer. We have a denial trending analyses pin board, which is more for the upper, uh, managers and also exact relatives if they're interested. And then really, um, the targeted denial analysis is more for the day to day analysts, um, the usage so that they could go in and they can really see where the trends are going and how they need to take action and launch into the auditing workflow so within the executive or review, Um, and not to mention that we were integrating and implementing this when everyone was we were focused on co vid. So as you can imagine, just without covert in the picture, our customers are concentrated on denials, and that's why they utilize our platform so they could minimize those risks and then throw in the covert factor. Um, you know, those denial dollars increase substantially over the course of spring and the summer, and we wanted to be able to give them ah, good view of the denials in aggregate as well as's we focus some curated pin boards specific to those areas that were accounting for those high developed denials. So on the Executive Overview Board, we created some banner tiles. The banner tiles are pretty much a blast of information for executives thes air, particular areas where there concentrating and their look looking at those numbers consistently so it provides them away to take a good look at that and have that quick snapshot. Um, more importantly, we did offer as I mentioned some curated pin boards so that it would give customers this turnkey access. They wouldn't necessarily have to wonder, You know, what should I be doing now on Day one, but the day one that we're providing to them these curated insights leads the curiosity and increases that curiosity so that they can go in and start creating their own. But the base curated set is a good overview of their denial dollars and those risks, and we used, um, a subject matter expert within our organization who worked in the field. So it's important to know you know what you're targeting and why you're targeting it and what's important to these personas. Um, not everyone is necessarily interests in all the same information, and you want to really hit on those critical key point to draw them and, um, and allowed them that quick access and answer those questions they may have. So in this particular example, the curated insight that we created was a monthly denial amount by functional area. And as I was mentioning being uber focused on co vid, you know, a lot of scrutiny goes back to those organizations, especially those coding and H i M departments, um, to ensure that their coding correctly, making sure that players aren't sitting on, um, those payments or denying those payments. So if I were in executive and I came in here and this was interesting to me and I want to drill down a little bit, I might say, You know, let me focus more on the functional area than I know probably is our main concern. And that's coating and h i M. And because of it hit in about the early winter. I know that those claims came in and they weren't getting paid until springtime. So that's where I start to see a spike. And what's nice is that the executive can drill down, they may have a hunch, or they can utilize any of the data attributes we made available to them from the Remittance file. So all of these data, um, attributes are related to what's being sent on the 8 35 fear familiar with the anti 8 35 file. So in particular, if I was curious and had a suspicion that these were co vid related or just want to concentrate in that area, um, we have particular flag set up. So the confirmed and suspected cases are pulling in certain diagnosis and procedure codes. And I might say 1.27 million is pretty high. Um, toe look at for that particular month, and then they have the ability to drill down even further. Maybe they want to look at a facility level or where that where that's coming from. Furthermore, on the executive level, we did take advantage of Let me stop here where, um also provided some lagged a so leg. This is important to organizations in this area because they wanna know how long does it take before they re submit a claim that was originally denied before they get paid industry benchmark is about 10 days of 10 days is a fairly good, good, um, basis to look at. And then, obviously anything over that they're going to take a little bit more scrutiny on and want to drill in and understand why that is. And again, they have that capabilities in order to drill down and really get it. Those answers that they're looking for, we also for this particular pin board. And these users thought it would be helpful to utilize the time Siri's forecasting that's made available. So again, thes executives need thio need to keep track and forecast where they're trends were going or what those numbers may look like in the future. And we thought by providing the prediction pins and we have a few prediction pins, um would give them that capability to take a look at that and be able to drill down and use that within, um, certain reporting and such for their organization. Another person, a level that I will go to is, um, Mawr on the analyst side, where those folks are utilizing, um, are auditing workflow and being in our platform, creating audits, completing audits, we have it segregated by two different areas. And this is by claim types so professional or institutional, I'm going to jump in here. And then I am going to go to present mode. So in this particular, um, in this particular view or insight, we're providing that analysts view with something that's really key and critical in their organization is denials related Thio HCC s andi. That's a condition category that kind of forecast, the risk of treatment. And, you know, if that particular patient is probably going to be seen again and have more conditions and higher costs, higher health care spending. So in this example, we're looking at the top 15 attending providers that had those HCC denials. And this is, um, critical because at this point, it really peaks in analyst curiosity. Especially, You know, they'll see providers here and then see the top 15 on the top is generating Ah, hide denial rate. Hi, denial. The dollars for those HCC's and that's a that's a real risk to the organization, because if that behavior continues, um, then those those dollars won't go down. That number won't go down so that analysts then can go in and they can drill down um, I'm going to drill down on diagnosis and then look at the diagnosis name because I have a suspicion, but I'm not exactly sure. And what's great is that they can easily do this. Change the view. Um, you know, it's showing a lot of diagnoses, but what's important is the first one is sepsis and substance is a big one. Substances something that those organizations see a lot of. And if they hover, they can see that 49.57 million, um, is attributed to that. So they may want to look further into that. They'd probably be interested in closing that loop and creating an audit. And so what allowed us to be able to do that for them is we're launching directly into our auditing workflow. So they noticed something in the carried insight. It sparked some investigation, and then they don't have to leave that insight to be able to jump into the auditing workflow and complete that. Answer that question. Okay, so now they're at the point where we've pulled back all the cases that attributed to that dollar amount that we saw on the Insight and the users launching into their auditing workflow. They have the ability Thio select be selective about what cases they wanna pull into the audit or if they were looking, um, as we saw with sepsis, they could pull in their 1600 rose, but they could take a sampling size, which is primarily what they would do. They went audit all 1600 cases, and then from this point in they're into, they're auditing workflow and they'd continue down the path. Looking at those cases they just pulled in and being able Thio finalized the audit and determine, you know, if further, um, education with that provider is needed. So that concludes the demo of how we integrated thought spot into our platform. >>Thank you, LeAnn. And thank you. Re test for taking the time to walk us through. Not only your company, but how Thought spot is helping you Power analytics for your clients. At this point, we want to open this up for a little Q and A, but we want to leave you with the fact that thought spot everywhere. Specifically, it cannot only do this for Hayes, but could do it for any company anywhere they need. Analytical applications providing these applications for their customers, their partners, providers or anybody within their network for more about this, you can see that the website attached below >>Thanks, Rick and thanks for tests and Leon that I find it just fascinating hearing what our customers are doing with our technology. And I certainly have learned 100% more about sepsis than I ever knew before this session. So thank you so much for sharing that it's really is great to see how you're taking our software and putting it into your application. So that's it for this session. But do stay tuned for the next session, which is all about getting the most out of your data and amplifying your insights. With the help of A, I will be joined by two thought spot leaders who will share their first hand experiences. So take a quick breather and come right back

>>From around the globe. It's the queue with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS, and our community partners. >>Hello, and welcome back to the cube live coverage of reinvent 2020 virtual. We're not there this year. It's the cube virtual. We are the cube virtual. I'm your host, John fro with Dave Alante and analyzing our take on the partner day. Um, keynotes and leadership sessions today was AWS APN, which is Amazon partner network global partner network day, where all the content being featured today is all about the partners and what Amazon is doing to create an ecosystem, build the ecosystem, nurture the ecosystem and reinvent what it means to be a partner. Dave, thanks for joining me today on the analysis of Amazon's ecosystem and partner network and a great stuff today. Thanks for coming on. >>Yeah, you're welcome. I mean, watch the keynote this morning. I mean, partners are critical to AWS. Look, the fact is that when, when AWS was launched, it was the developers ate it up. You know, if you're a developer, you dive right in infrastructure is code beautiful. You know, if you're mainstream it, this thing's just got more complex with the cloud. And so there's, there's a big gap right between how I, where I am today and where I want to be. And partners are critical to help helping people get there. And we'll talk about the details of specifically what Amazon did, but I mean, especially when John, when you look at things like smaller outposts, you know, going hybrid, Andy Jassy redefining hybrid, you need partners to really help you plan design, implement, manage at scale. >>Yeah. You know, one of the things I'm always, um, you know, saying nice things about Amazon, but one of the things that they're vulnerable on in my opinion is how they balanced their own SAS offerings and with what they develop in the ecosystem. This has been a constant, um, challenge and, and they've balanced it very well. Um, so other vendors, they are very clear. They make their own software, right. And they have a channel and it's kind of the old playbook. Amazon's got to reinvent the playbook here. And I think that's, what's key today on stage Doug Yom. He's the, uh, the leader you had, um, also Dave McCann who heads up marketplace and Sandy Carter who heads up worldwide public sector partners. So Dave interesting combination of three different teams, you had the classic ISV partners in the ecosystem, the cohesiveness of the world, the EMCs and so on, you had the marketplace with Dave McCann. That's where the future of procurement is. That's where people are buying product and you had public sector, huge tsunami of innovation happening because of the pandemic and Sandy is highlighting their partners. So it's partner day it's partner ecosystem, but multiple elements. They're moving marketplace where you buy programs and competencies with public sector and then ISV, all of those three areas are changing. Um, I want to get your take because you've been following ecosystems years and you've been close to the enterprise and how they buy your, >>And I think, I think John, Oh, a couple of things. One is, you know, Dave McCann was talking a lot about how CIO is one of modernize applications and they have to rationalize, and it will save some of that talk for later on, you know, Tim prophet on. But there's no question that Amazon's out to reinvent, as you said, uh, the whole experience from procurement all the way through, and, you know, normally you had to, to acquire services outside of the marketplace. And now what they're doing is bundling the services and software together. You know, it's straightforward services, implementation services, but those are well understood. The processes are known. You can pretty much size them and price them. So I think that's a huge opportunity for partners and customers to reduce friction. I think the other thing I would say is ecosystems are, are critical. >>Uh, one of the themes that we've been talking about in the cube as we've gone from a product centric world in the old days of it to a platform centric world, which has really been the last decade has been about SAS platforms and cloud platforms. And I think ecosystems are going to be a really power, the new innovation in the coming decade. And what I mean by that is look, if you're just building a service and Amazon is going to do that same service, you know, you got to keep innovating. And one of the ways you can innovate is you can build on ecosystems. There's all this data within industries, across industries, and you can through the partner network and through customer networks within industry start building new innovation around ecosystems and partners or that glue, Amazon's not going to go in. And like Jandy Jesse even said in the, uh, in his fireside chat, you know, customers will ask us for our advice and we're happy to give it to them, but frankly partners are better at that nitty gritty hardcore stuff. They have closer relationships with the customers. And so that's a really important gap that Amazon has been closing for the last, you know, frankly 10 years. And I think that to your point, they've still got a long way to go, but that's a huge opportunity in that. >>A good call out on any Jess, I've got to mention that one of the highlights of today's keynote was on a scheduled, um, Andy Jassy fireside chat. Uh, normally Andy does his keynote and then he kind of talks to customers and does his thing normally at a normal re-invent this time he came out on stage. And I think what I found interesting was he was talking about this builder. You always use the word builder customer, um, solutions. And I think one of the things that's interesting about this partner network is, is that I think there's a huge opportunity for companies to be customer centric and build on top of Amazon. And what I mean by that is, is that Amazon is pretty cool with you doing things on top of their platform that does two things serves the customer's needs better than they do, and they can make more money on and other services look at snowflake as an example, um, that's a company built on AWS. I know they've got other clouds going on, but mainly Amazon Zoom's the same way. They're doing a great solution. They've got Redshift, Amazon, Amazon's got Redshift, Dave, but also they're a customer and a partner. So this is the dynamic. If you can be successful on Amazon serving customers better than Amazon does, that's the growth hack. That's the hack on Amazon's partner network. If you could. >>I think, I think Snowflake's a really good example. You snowflake you use new Relic as an example, I've heard Andy Jess in the past use cloud air as an example, I like snowflake better because they're, they're sort of thriving. And so, but, but I will say this there's a, they're a great example of that ecosystem that we just talked about because yes, not only are they building on AWS, they're connecting to other clouds and that is an ecosystem that they're building out. And Amazon's got a lot of snowflake, I guess, unless you're the Redshift team, but, but generally speaking, Snowflake's driving a lot of business for Amazon and Andy Jesse addressed that in that, uh, in that fireside chat, he's asked that question a lot. And he said, look, we, we, we have our primary services. And at the same time we want to enable our partners to be successful. And snowflake is a really good example of that. >>Yeah. I want to call out also, uh, yesterday. Um, I had our Monday, I should say Tuesday, December 1st, uh, Jesse's keynote. I did an interview with Jerry chin with gray lock. He's investing in startups and one of the things he observed and he pointed out Dave, is that with Amazon, if you're, if you're a full all-in in the cloud, you're going to take advantage of things that are just not available on say on premises that is data patterns, other integrations. And I think one of the things that Doug pointed out was with interoperability and integration with say things like the SAS factor that they put out there there's advantages for being in the cloud specifically with Amazon, that you can get on integrations. And I think Dave McCann teases that out with the marketplace when they talk about integrations. But the idea of being in the cloud with all these other partners makes integration and interoperability different and unique and better potentially a differentiator. This is going to become a huge deal. >>I didn't pick up on that because yesterday I thought I wasn't in the keynote. I think it was in the analyst one-on-one with, with Jesse, he talked about, you know, this notion that people, I think he was addressing multi-cloud he didn't use that term, but this notion of an abstraction layer and how it does simplify things in, in his basic, he basically said, look, our philosophy is we want to have, you know, the, the ability to go deep with the primitives and have that fine grain access, because that will give us control. A lot of times when you put in this abstraction layer, which people are trying to do across clouds, you know, it limits your ability to really move fast. And then of course it's big theme is, is this year, at the same time, if you look at a company who was called out today, like, like Octa, you know, when you do an identity management and single sign-on, you're, you're touching a lot of pieces, there's a lot of integration to your point. >>So you need partners to come in and be that glue that does a lot of that heavy lifting that needs to needs to be done. Amazon. What Jessie was essentially saying, I think to the partner network is, look, we're not going to put in that abstraction layer. You're going to you, you got to do that. We're going to do stuff maybe between our own own services like they did with the, you know, the glue between databases, but generally speaking, that's a giant white space for partner organizations. He mentioned Okta. He been talked about in for apt Aptio. This was Dave McCann, actually Cohesity came up a confluent doing fully managed Kafka. So that to me was a signal to the partners. Look, here's where you guys should be playing. This is what customers need. And this is where we're not going to, you know, eat your lunch. >>Yeah. And the other thing McCann pointed out was 200 new Dave McCann pointed out who leads these leader of the, of the marketplace. He pointed out 200 new ISP. ISV is out there, huge news, and they're going to turn already. He went, he talked with his manage entitlements, which got my attention. And this is kind of an, um, kind of one of those advantage points that it's kind of not sexy and mainstream to talk about, but it's really one of those details. That's the heavy lifting. That's a pain in the butt to deal with licensing and tracking all this compliance stuff that goes on under the covers and distribution of software. I think that's where the cloud could be really advantaged. And also the app service catalog registry that he talked about and the professional services. So these are areas that Amazon is going to kind of create automation around. >>And as Jassy always talks about that undifferentiated heavy lifting, they're going to take care of some of these plumbing issues. And I think you're right about this differentiation because if I'm a partner and I could build on top of Amazon and have my own cloud, I mean, let's face it. Snowflake is a born in the cloud, in the cloud only solution on Amazon. So they're essentially Amazon's cloud. So I think the thing that's not being talked about this year, that is probably my come up in future reinvents is that whoever can build their own cloud on top of Amazon's cloud will be a winner. And I, I talked about this years ago, data around this tier two, I call it tier two clouds. This new layer of cloud service provider is going to be kind of the, on the power law, the, the second wave of cloud. >>In other words, you're on top of Amazon differentiating with a modern application at scale inside the cloud with all the other people in there, a whole new ecosystem is going to emerge. And to me, I think this is something that is not yet baked out, but if I was a partner, I would be out there planning like hell right now to say, I'm going to build a cloud business on Amazon. I'm going to take advantage of the relationships and the heavy lifting and compete and win that way. I think that's a re redefining moment. And I think whoever does that will win >>And a big theme around reinventing everything, reinvent the industry. And one of the areas that's being reinvented as is the, you know, the VAR channel really well, consultancies, you know, smaller size for years, these companies made a ton of dough selling boxes, right? All the, all the Dell and the IBM and the EMC resellers, you know, they get big boats and big houses, but that business changed dramatically. They had to shift toward value, value, value add. So what did they do? They became VMware specialists. They came became SAP specialists. There's a couple of examples, maybe, you know, adding into security. The cloud was freaking them out, but the cloud is really an opportunity for them. And I'll give you an example. We've talked a lot about snowflake. The other is AWS glue elastic views. That's what the AWS announced to connect all their databases together. Think about a consultancy that is able to come in and totally rearchitect your big data life cycle and pipeline with the people, the processes, the skillsets, you know, Amazon's not going to do that work, but the upside value for the organizations is tremendous. So you're seeing consultancies becoming managed service providers and adding all kinds of value throughout the stack. That's really reinvention of the partnership. >>Yeah. I think it's a complete, um, channel strategy. That's different. It doesn't, it looks like other channels, but it's not, it's, it's, it's driven by value. And I think this idea of competing on value versus just being kind of a commodity play is shifting. I think the ISV and the VARs, those traditional markets, David, as you pointed out, are going to definitely go value oriented. And you can just own a specialty area because as data comes in and when, and this is interesting. And one of the key things that Andy Jassy said in his fireside chat want to ask directly, how do partners benefit when asked about his keynote, how that would translate to partners. He really kind of went in and he was kind of rambling, but he, he, he hit the chips. He said, well, we've got our own chips, which means compute. Then he went into purpose-built data store and data Lake data, elastic views SageMaker Q and QuickSight. He kind of went down the road of, we have the horsepower, we have the data Lake data, data, data. So he was kind of hinting at innovate on the data and you'll do okay. >>Well, and this is again, we kind of, I'm like a snowflake fan boy, you know, in the way you, you like AWS. But look, if you look at AWS glue elastic views, that to me is like snowflakes data cloud is different, a lot of pushing and moving a date, a lot of copying data. But, but this is a great example of where like, remember last year at reinvent, they said, Hey, we're separating compute from storage. Well, you know, of course, snowflake popularized that. So this is great example of two companies thriving that are both competitors and partners. >>Well, I've got to ask you, you know, you, you and I always say we kind of his stories, we've been around the block on the enterprise for years. Um, where do you Mark the, um, evolution of their partner? Because again, Amazon has been so explosive in their growth. The numbers have been off the charts and they've done it well with and pass. And now you have the pandemic which kind of puts on full display, digital transformation. And then Jassy telegraphing that the digital global it spend is their next kind of conquering ground, um, to take, and they got the edge exploding with 5g. So you have this kind of range and they doing all kinds of stuff with IOT, and they're doing stuff in you on earth and in space. So you have this huge growth and they still don't have their own fully oriented business model. They rely on people to build on top of Amazon. So how do you see that evolving in your opinion? Because they're trying to add their own Amazon only, we've got Redshift that competes with others. How do you see that playing out? >>So I think it's going to be specialized and, and something that, uh, that I've talked about is Amazon, you know, AWS in the old day, old days being last decade, they really weren't that solution focused. It was really, you know, serving the builders with tooling, with you, look at something like what they're doing in the call center and what they're doing at the edge and IOT there. I think they're, so I think their move up the stack is going to be very solution oriented, but not necessarily, you know, horizontal going after CRM or going after, you know, uh, supply chain management or ERP. I don't think that's going to be their play. I think their play is going to be to really focus on hard problems that they can automate through their tooling and bring special advantage. And that's what they'll SAS. And at the same time, they'll obviously allow SAS players. >>It's just reminds me of the early days when you and I first met, uh, VMware. Everybody had to work with VMware because they had a such big ecosystem. Well, the SAS players will run on top. Like Workday does like Salesforce does Infour et cetera. And then I think you and I, and Jerry Chen talked about this years ago, I think they're going to give tools to builders, to disrupt the service now is in the sales forces who are out buying companies like crazy to try to get a, you know, half, half a billion dollar, half a trillion dollar market caps. And that is a really interesting dynamic. And I think right now, they're, they're not even having to walk a fine line. I think the lines are reasonably clear. We're going up to database, we're going to do specialized solutions. We're going to enable SAS. We're going to compete where we compete, come on, partner ecosystem. And >>Yeah, I, I, I think that, you know, the Slack being bought by Salesforce is just going to be one of those. I think it's a web van moment, you know, um, you know, where it's like, okay, Slack is going to go die on Salesforce. Okay. I get that. Um, but it's, it's just, it's just, it's just, it's just old school thinking. And I think if you're an entrepreneur and if you're a developer or a partner, you could really reinvent the business model because if you're, dis-aggregating all these other services like you can compete with Salesforce, Slack has now taken out of the game with Salesforce, but what Amazon is doing with say connect, which they're promoting heavily at this conference. I mean, you hear it, you heard it on Andy Jessie's keynote, Sandy Carter. They've had huge success with AWS connect. It's a call center mindset, but it's not calling just on phones. >>It's contact that is descent, intermediating, the Salesforce model. And I think when you start getting into specialists and specialism in channels, you have customer opportunity to be valuable. And I think call center, these kinds of stories that you can stand up pretty quickly and then integrate into a business model is going to be game changing. And I think that's going to going to a lot of threat on these big incumbents, like Salesforce, like Slack, because let's face it. Bots is just the chat bot is just a call center front end. You can innovate on the audio, the transcriptions there's so much Amazon goodness there, that connect. Isn't just a call center that could level the playing field and every vertical >>Well, and SAS is getting disrupted, you know, to your, to your point. I mean, you think about what happened with, with Oracle and SAP. You had, you know, these new emerging players come up like, like Salesforce, like Workday, like service now, but their pricing model, it was all the same. We lock you in for a one-year two-year three-year term. A lot of times you have to pay up front. Now you look at guys like Datadog. Uh, you, you look at a snowflake, you look at elastic, they're disrupting the Splunks of the world. And that model, I think that SAS model is right for disruption with a consumption pricing, a true cloud pricing model. You combine that with new innovation that developers are going to attack. I mean, you know, people right now, they complain about service now pricing, they complain about Splunk pricing. They, you know, they talk about, Oh, elastic. We can get that for half the price Datadog. And so I'm not predicting that those companies service now Workday, the great companies, but they are going to have to respond much in the same way that Oracle and SAP had to respond to the disruption that they saw. >>Yeah. It's interesting. During the keynote, they'll talk about going out to the mainframes today, too. So you have Amazon going into Oracle and Microsoft, and now the mainframes. So you have Oracle database and SQL server and windows server all going to being old school technologies. And now mainframe very interesting. And I think the, this whole idea of this SAS factory, um, got my attention to Cohesity, which we've been covering Dave on the storage front, uh, Mo with the founder was on stage. I'm a data management as a service they're part of this new SAS factory thing that Amazon has. And what they talk about here is they're trying to turn ISV and VARs into full-on SAS providers. And I think if they get that right with the SAS factory, um, then that's going to be potentially game changing. And I'm gonna look at to see if what the successes are there, because if Amazon can create more SAS applications, then their Tam and the global it market is there is going to, it can be mopped up pretty quickly, but they got to enable it. They got to enable that quickly. Yeah. >>Enabling to me means not just, and I think, you know, when Jesse answered your question, I saw it in the article that you wrote about, you know, you asked them about multi-cloud and it, to me, it's not about running on AWS and being compatible with Azure and being compatible with Google. No, it's about that frankly abstraction layer that he talked about, and that's what Cohesity is trying to do. You see others trying to do it as well? Snowflake for sure. It's about abstracting that complexity away and adding value on top of the cloud. In other words, you're using the cloud for scale being really expert at taking advantage of the native cloud services, which requires is that Jessie was saying different API APIs, different control, plane, different data plane, but taking that complexity away and then adding new value on top that's white space for a lot of players there. And, and, and I'll tell you, it's not trivial. It takes a lot of R and D and it takes really smart people. And that's, what's going to be really interesting to see, shake out is, you know, can the Dell and HPE, can they go fast enough to compete with the, the Cohesity's you've got guys like CLU Mayo coming in that are, that are brand new. Obviously we talked about snowflake a lot and many others. >>I think there's going to be a huge change in expectations, experience, huge opportunity for people to come in with unique solutions. We're going to have specialty programming on the cube all day today. So if you're watching us here on the Amazon channel, you know that we're going to have an all of a sudden demand. There's a little link on our page. On the, on the, um, the Amazon reinvent virtual event platform, click here, the bottom, it's going to be a landing page, check out all the interviews as we roll them out all day. We got a great lineup, Dave, we got Nutanix pure storage, big ID, BMC, Amazon leaders, all coming in to talk today. Uh, chaos search ed Walsh, Rachel Rose, uh, Medicar Kumar, um, Mike Gill, flux, tons of great, great, uh, partners coming in and they're going to share their story and what's working for them and their new strategies. And all throughout the day, you're going to hear specific examples of how people are changing and reinventing their business development, their partnership strategies on the product, and go to market with Amazon. So really interesting learnings. We're going to have great conversations all throughout the day. So check it out. And again, everything's going to be on demand. And when in doubt, go to the cube.net, we have everything there and Silicon angle.com, uh, for all the great coverage. So >>I don't think John is, we're going to have a conversation with him. David McCann touched on this. You talked about the need for modernization and rationalization, Tim Crawford on, on later. And th this is, this is sort of the, the, uh, the call-out that Andy Jassy made in his keynote. He gave the story of that one. CIO is a good friend of his who said, Hey, I love what you're doing, but it's not going to happen on my watch. And, and so, you know, Jessie's sort of poking at that, that, uh, complacency saying, guys, you have to reinvent, you have to go fast, you have to keep moving. And so we're gonna talk a little bit about what, what does that mean to modernize applications, why the CIO is want to rationalize what is the role of AWS and its ecosystem and providing that, that, that level of innovation, and really try to understand what the next five to seven years are gonna look like in that regard. >>Funny, you mentioned, uh, Andy Jesuit that story. When I had my one-on-one conversation with them, uh, he was kind of talking about that anonymous CIO and I, if people don't know Andy, he's a big movie buff, too, right? He loves it goes to Sundance every year. Um, so I said to him, I said, this error of digital transformation, uh, is kind of like that scene in the godfather, Dave, where, um, Michael Corleone goes to Tom Hagen, Tom, you're not a wartime conciliary. And what he meant by that was is that, you know, they were going to war with the other five families. I think now I think this is what chassis pointed out is that, that this is such an interesting, important time in history. And he pointed this out. If you don't have the leadership chops to lean into this, you're going to get swept away. >>And that story about the CIO being complacent. Yeah. He didn't want to shift. And the new guy came in or gal and they, and they, and they lost three years, three years of innovation. And the time loss, you can't get that back. And during this time, I think you have to have the stomach for the digital transformation. You have to have the fortitude to go forward and face the truth. And the truth is you got to learn new stuff. So the old way of doing things, and he pointed that out very aggressively. And I think for the partners, that same thing is true. You got to look in the mirror and say, where are we? What's the opportunity. And you gotta gotta go there. If not, you can wait, be swept away, be driftwood as Pat Gelsinger would say, or lean in and pick up a, pick up a shovel and start digging the new solution. >>You know what the other interesting thing, I mean, every year when you listen to Jassy and his keynotes and you sort of experienced re-invent culture comes through and John you're live in Silicon Valley, you talked to leaders of Silicon Valley, you know, well, what's the secret of success though? Nine times out of 10, they'll talk about culture, maybe 10 times out of 10. And, and, and so that's, that comes through in Jesse's keynotes. But one of the things that was interesting this year, and it's been thematic, you know, Andy, you know, repetition is important, uh, to, to him because he wants to educate people and make sure it sticks. One of the things that's really been he's been focused on is you actually can change your culture. And there's a lot of inertia. People say, well, not on my watch. Well, it doesn't work that way around here. >>And then he'll share stories about how AWS encourages people to write papers. Anybody in the organization say we should do it differently. And, and you know, they have to follow their protocol and work backwards and all of those stuff. But I believe him when he says that they're open to what you have a great example today. He said, look, if somebody says, well, it's 10 feet and somebody else says, well, it's, it's five feet. He said, okay, let's compromise and say it's seven and a half feet. Well, we know it's not seven and a half feet. We don't want to compromise. We either want to be a 10, Oh, we want to be at five, which is the right answer. And they push that. And that that's, he gives examples like that for the AWS culture, the working backwards, the frequently asked questions, documents, and he's always pushing. And that to me is very, very important and fundamental to understanding AWS. >>It's no doubt that Andy Jassy is the best CEO in the business. These days. If you look at him compared to everyone else, he's hands down, more humble as keynote who does three hour keynotes, the way he does with no notes with no, he memorize it all. So he's competitive and he's open. And he's a good leader. I think he's a great CEO. And I think it will be written and then looked back at his story this time in history. The next, I think post COVID Dave is going to be an error. We're going to look back and say the digital transformation was accelerated. Yes, all that good stuff, people process technology. But I think we're gonna look at this time, this year and saying, this was the year that there was before COVID and after COVID and the people who change and modernize will build the winners and not, and the losers will, will be sitting still. So I think it's important. I think that was a great message by him. So great stuff. All right. We gotta leave it there. Dave, the analysis we're going to be back within the power panel. Two sessions from now, stay with us. We've got another great guest coming on next. And then we have a pair of lb talk about the marketplace pricing and how enterprises have CIO is going to be consuming the cloud in their ecosystem. This is the cube. Thanks for watching..

>> Voiceover: From around the globe, it's theCUBE, with digital coverage of AWS re:Invent 2020. Special coverage sponsored by AWS Global Partner Network. >> Hello and welcome to theCUBE virtual and our coverage at AWS re:Invent 2020, with special coverage of the APN Partner Experience. I'm your host Rebecca Knight. Today we are joined by Rachel Rose. She is the head of global AWS programs. Thank you so much for coming on the show, Rachel >> Thanks, Rebecca. So excited to be here. >> Well, we're delighted to have you so we just heard Sandy's keynote address, and we know that AWS has announced a number of new partner programs, including AWS competencies and service validations. Why don't you start by telling our viewers a little bit more about these? >> Sure. It couldn't be more of an exciting time for our partner community. We've made a number of key global announcements today. What you just heard from Sandy. So that includes the launch of two new AWS competency programs. We have the travel and hospitality competency, as well as the public safety and disaster response competency. Additionally, we announced changes to our top performing service delivery program, the Amazon RDS service delivery. >> So tell us exactly what is an AWS competency? What is it? What does it bring to partners and customers? >> Yes, of course. The competency program is designed to highlight and promote our top partners, based on their proven technical and customer success in key specialized areas. We focus on industries, workloads, as well as key use cases. It benefits our customers by providing them with a short list of highly vetted and trusted partners to work with based on whatever their needs may be. So for example, if you're a customer looking for a HIPAA compliant partner out of Japan, the competency program can help you. It's all about saving time for our customers. No more searching for partners for hours on end, we do all that work for you. And one additional note I'll make on competencies is that, Rebecca, this isn't a new program for us at AWS. We've been designing and iterating on these programs for years. Adding new designations, new use cases, as well as evolving our existing programs, all based on customer feedback. We're thrilled to announce these new programs today and hope you'll check out the travel and hospitality, as well as the public safety and disaster response competency. >> So we're going to dig into those a little bit later, but tell our viewers a little bit more about the two competencies that were launched today. >> Yes, Rebecca, and as I mentioned, we've launched two new competencies. We have first, the travel and hospitality competency, which launched today with 27 of our top global ISVs and consulting partners. These partners are experts at helping our customers accelerate their modernization and innovation journeys to building a resilient business for the long run. Everything from the behind the scenes, operational efficiencies, as well as guest facing customer experiences. And then the public safety and disaster response competency, which highlights our top ISV partners that build products on AWS to help our customers prepare, respond and recover from these natural and man-made disasters. We launched today with 16 top global ISVs today. >> So I want to ask you a little bit about why now. Put this into context for our viewers. We know that the world is gripped by the devastating COVID-19 pandemic. Why launch these two competencies now? >> Great question. For travel and hospitality, there's really very few industries that face a technology environment as complex and mission critical, especially given the state of the world that we're in right now with the pandemic. It's an ongoing challenge for us to hire and retain that domain expertise in-house, leading a growing demand for experienced on demand resources. Our partner community has responded so quickly here, working with our joint customers to charter a smart digital way forward. It's why the majority of our Fortune 500 companies, and over 90% of our Fortune 100 already utilize AWS Partner Solutions and Services. For public safety and disaster response, it's a direct response to the economic law caused by these natural and man-made disasters. 2020 was an unprecedented year for so many reasons, but especially in terms of disaster and public safety event. And at AWS, we're committed to helping our first responders, our public safety agencies, and our disaster response organizations by mitigating the impact affected by these communities. Through this competency, we can differentiate our top most highly vetted partners giving our customers an easy way to find businesses that offer trusted and specialized services, tailored to meet their mission critical needs. >> Well, it certainly sounds like something the world needs now, Rachel. You've also mentioned updates to one of your service validation programs. Can you tell our viewers a little bit more about that? >> Yes. Based on customer feedback, we've made significant updates to the Amazon RDS service delivery program. This program is designed to highlight our top partners that implement and migrate customers to Amazon RDS. Based on the increased demand we've seen for purpose-built databases, we've made changes to the Amazon RDS delivery program by adding in validation that's actually based on that individual engine type, like Amazon Aurora MySQL or Amazon RDS for Oracle. This allows our customers to identify an Amazon RDS partner with demonstrated success delivering Amazon RDS solutions for specific database engine. >> What were some of the partners that were announced today? >> Our partner capability ranges across the board, and we feel really honored to work with such interesting partners that are delivering on behalf of our customers every single day. You know, one example, OneBlood, which is the third largest blood bank, engaged our public safety and disaster response competency launch partner, Solodev to help evolve the digital customer experience for their donors. By leveraging AWS auto-scaling technologies, OneBlood was able to rapidly provision additional servers to meet the high demand in the face of a massive national emergency. As a result, their website never went down and willing donors were able to connect with the right information just in time. Another really interesting partner story is thanks to Elenium Automation. They're a travel and hospitality competency launch partner, they're based out of Australia, and they helped Etihad Airways become the first airline to trial contactless technology, which helps monitor the temperature, heart rate and respiratory rate of any person using any airport and touch points. I mean, how cool is that? >> It's very cool. So if there are partners who are watching this who are interested in learning more, what should they do? Where should they go? >> Yeah, there's so many great resources. So I'll start with our customers. Our customers that are looking for these highly vetted, trusted partners can go to our AWS Partner Solutions Finder, filter by expertise, and you can find the right partner that you need at any time. For our partners that want to learn more about how to engage with these programs, they can visit our APN webpage or our competency webpage. >> So finally, I want you to close this out here and look into your crystal ball and think about the next 12 to 24 months. What would you say to your partners? You are the head of partner experience. Can you talk a little bit about a sneak peek for what partners can experience in the next year and the year after? >> We've been collecting mountains of customer feedback, and it's really what's critical in order for us to build out what that roadmap looks like for us in 2021. So some of the top requests that we continue to see from our customers are revolved around energy. So I think you can expect to see an energy competent (mumbles) in 2021, as well as adding a mainframe category to our migration competency. We're also going to continue to evolve our service validation program. So you've heard me talk a little bit about RDS earlier. We're going to continue to evolve that program as well by adding business applications as a new category. So I think that's just a tiny little sneak peek onto what the team's working on, but we're definitely focused on collecting customer feedback in order to ensure we have the right roadmap ahead of us. >> Exciting times ahead. Thank you so much, Rachel Rose, the head of global AWS Partner Programs. Thanks so much for coming on the show. >> Thank you, Rebecca. Appreciate the time. >> And thank you for tuning in to theCUBE virtuals coverage of AWS re:Invent 2020. I'm Rebecca Knight, stay tuned. (soft music)

>>from around the globe. It's the Cube with digital coverage of Dell Technologies. World Digital experience Brought to you by Dell Technologies. Hello, everyone. And welcome back to the cubes Coverage of Del Tech World 2020. With me is Jeff Boudreau, the president general manager of Infrastructure Solutions group Deltek. Jeff, always good to see you, my friend. How you doing? >>Good. Good to see you. >>I wish we were hanging out a Sox game or a pat's game, but, uh, I guess this will dio But, you know, it was about a year ago when you took over leadership of I s G. I actually had way had that sort of brief conversation. You were in the room with Jeff Clark. I thought it was a great, great choice. How you doing? How you feeling Any sort of key moments the past 12 months that you you feel like sharing? >>Sure. So I first I want to say, I do remember that about a year ago. So thank you for reminding me. Yeah, it's, uh it's been a very interesting year, right? It's been it's been one year. It was in September was one year since I took over I s G. But I'm feeling great. So thank you for asking. I hope you're doing the same. And I'm really optimistic about where we are and where we're heading. Aziz, you know, it's been an extremely challenging year in a very unpredictable year, as we've all experienced. And I'd say for the, you know, the first part of the year, especially starting in March on I've been really focused on the health and safety of our, you know, the families, our customers and our team members of the team on a lot of it's been shifting, you know, in regards to helping our customers around, you know, work from home or education and learn from home. And, you know, during all this time, though, I'll tell you, as a team, we've accomplished a lot. There's a handful of things that I'm very proud of, you know, first and foremost, that states around the customer experience we have delivered on our best quality in our product. NPS scores in our entire history. So something I'm extremely proud of during this time around our innovation and innovation engine, we part of the entire portfolio which you're well aware of. We had nine launches in nine weeks back in that May in June. Timeframe. So something I'm really proud of the team on, uh, on. Then last, I'd say it's around the team and right, we shifted about 90% of our workforce from the office tow home, you know, from an engineering team. That could be, you know, 85% of my team is engineers and writing code. And so, you know, people were concerned about that. But we didn't skip a beat, so, you know, pretty impressed by the team and what they've done there. So, you know, the strategy remains unchanged. Uh, you know, we're focused on our customers integrating across the entire portfolio and the businesses like VM ware and really focused on getting share. So despite all the uncertainty in the market, I'm pretty pleased with the team and everything that's been going on. So uh, yeah, it's it's been it's been an interesting year, but it's really great. I'm really optimistic about what we have in front of us. >>Yeah, I mean, there's not much you could do a control about the macro condition on it, you know it. Z dealt to us and we have to deal with it. I mean, in your space. It's the sort of countervailing things here one is. Look, you're not selling laptops and endpoint security. That's not your business right in the data center. Eso. But the flip side of that is you mentioned your portfolio refresh. You know, things like Power Store. You got product cycles now kicking in. So that could be, you know, a buffer. What are you seeing with Power Store and what's the uptake look like? They're >>sure. Well, specifically, let me take a step back and the regards the portfolio. So first, you know, the portfolio itself is a direct reflection in the feedback from all our partners and our customers over the last couple of years on Day two, ramp up that innovation. I spent a lot of time in the last few years simplifying under the power brands, which you're well aware of, right? So we had a lot of for a legacy EMC and Legacy dollars. Really? How do we simplify under a set of brands really over delivering innovation on a fewer set of products that really accelerating in exceeding customer needs? And we did that across the board. So from power edge servers, you know, power Max, the high end storage, the Powerball, all that we didn't hear one. And just most recently. And, you know, it's part of the big launches. We had power scale. We have power flex for software to find. And, of course, the new flagship offer for the mid range, which is power store. Um, Specifically, the policy of the momentum has been building since our launch back in May. And the feedback from our partners and our customers has been fantastic. And we've had a lot of big wins against, you know, a lot of a lot of our core competitors. A couple examples one is Arrow Electronics SAA, Fortune 500 Global Elektronik supplier. They leverage power Store to provide, you know, basically both, you know, enterprise computing and storage needs for their for their broader bases around the world on there, really taking advantage of the 41 data reduction, really helping them simplify their capacity planning and really improve operational efficiencies specifically without impacting performance. So it's it's one. We're given the data reductions, but there's no impact on performance, which is a huge value proffer for arrow another big customers tickets and write a global law firm on their reporting to us that over 90 they've had a 90% reduction in their rack space, and they've had over five times two performance over a core competitors storage systems azi. They've deployed power store around the world, really, and it's really been helping them. Thio easily migrate workloads across, so the feedback from the customers and partners has been extremely positive. Um, there really citing benefits around the architecture, the flexibility architecture around the micro services, the containers they're loving, the D M or integration. They're loving the height of the predictable data reduction capabilities in line with in line performance or no performance penalties with data efficiencies, the workload support, I'd say the other big things around the anytime upgrades is another big thing that customers we're really talking about so very excited and optimistic in regards as we continue to re empower store the second half of the year into next year really is the full full year for power store. >>So can I ask you about that? That in line data reduction with no performance hit is that new ipe? I mean, you're not doing some kind of batch data reduction, right? >>No, it's It's new, I p. It's all patented. We've actually done a lot of work in regards to our technologies. There's some of the things we talk about GPS and deep use and smart Knicks and things like that. We've used some offload engines to help with that. So between the software and the hardware, we've had leverage new I. P. So we can actually provide that predictable data reduction. But right with the performance customers need, So we're not gonna have a trade off in regards. You get more efficiencies and less performance or more performance and less efficiency. >>That's interesting. Yeah, when I talked to the chip guys, they talk about this sort of the storage offloads and other offloads we're seeing. These alternative processors really start to hit the market videos. The obvious one. But you're seeing others. Aziz. Well, you're really it sounds like you're taking advantage of that. >>Yeah, it's a huge benefit. I mean, we should, you know, with our partners, if it's Intel's and in videos and folks like that broad comes, it's really leveraging the great innovation that they do, plus our innovation. So if you know the sum of the parts, can you know equal Mauritz a benefit to our customers in the other day? That's what it's all about. >>So it sounds like Cove. It hasn't changed your strategy. I was talking toe Dennis Hoffman and he was saying, Look, you know, fundamentally, we're executing on the same strategy. You know, tactically, there's things that we do differently. But what's your summarize your strategy coming in tow 2021. You know, we're still early in this decade. What are you seeing is the trends that you're trying to take advantage of? What do you excited about? Maybe some things that keep you up at night? >>Yeah, so I'd say, you know, I'll stay with what Dennis said. You know, it's our strategy is not changing its a company. You probably got that from Michael and from job, obviously, Dennis just recently. But for me, it's a two pronged approach. One's all about winning the consolidation in the core infrastructure markets that we could just paid in today. So I think Service Storage Network, we're already clear leader across all those segments that we serve in our you know, we'll continue to innovate within our existing product categories. And you saw that with the nine launches in the nine weeks in my point on that one is we're gonna always make sure that we have best debris offers. If it's a three tier, two tier or converge or hyper converged offer, we wanna make sure that we serve that and have the best innovation possible. In addition to that, though, the secondary piece of the strategy really is around. How do we differentiate value across or innovating across I S G? You know, Dell Technologies and even the broader ecosystems and some of the examples I'll give you right now that we're doing is if you think about innovating across icy, that's all about providing improved customer experience, a set of solutions and offers that really helped simplify customer operations, right? And really give them better T CEOs or better. S L. A. An example of something like that's cloud like it's a SAS based off of that we have. That really helps provide great insights and telemetry to our customers. That helps them simplify their I T operations, and it's a major step forward towards, you know, autonomous infrastructure which is really what they're asking for. Customers of a very happy with the work we've done around Day one, you know, faster, time to value. But now it's like Day two and beyond. How do you really helped me Kinda accelerate the operations and really take that away from a three other big pieces innovating across all technologies. And you know, we do this with VM Ware now live today, and that's just writing. So things like VX rail is an example where we work together and where the clear leader in H C I. Things like Delta Cloud Uh, when we built in V M V C F A, B, M or cloud foundation in Tan Xue delivering an industry leading hybrid cloud platform just recently a VM world. I'm sure you heard about it, but Project Monterey was just announced, and that's an effort we're doing with VM Ware and some other partners. They're really about the next generation of infrastructure. Um, you know, I guess taking it up a notch out of the infrastructure and I've g phase, you know, some of the areas that we're gonna be looking at the end to end solutions to help our customers around six key areas. I'm sure John Rose talking about the past, but things like cloud Edge five g A i m l data management security. So those will be the big things. You'll see us lean into a Z strategies consistent. Some big themes that you'll see us lean into going into next year. >>Yeah, I mean, it is consistent, right? You guys have always tried to ride the waves, vector your portfolio into those waves and add value. I'm particularly impressed with your focus on customer experience, and I think that's a huge deal. You know, in the past, a lot of companies yours included your predecessor. You see, Hey, throwing so many products at me, I can't I don't understand the portfolio. So I mean, focusing on that I think is huge right now because people want that experience, you know, to be mawr cloudlike. And that's that's what you got to deliver. What about any news from from Dell Tech world? Any any announcements that you you wanna highlight that we could talk about? >>Sure. And actually, just touching back on the point you had no about the simplification that is a major 10 of my in regards the organization. So there's three key components that I drive once around customer focus, and that's keeping customers first and foremost. And everything we do to is around axillary that innovation. Engine three is really bringing everything together as one team. So we provide a better outcome to our customers. You know, in that simplification after that you talk about is court toe what we're driving. So I want to do less things, I guess better in the notion of how we do that. What that means to me is, as I make decisions that want to move away from other technologies and really leverage our best of breed type shared type, that's technology. I p people I p I can, you know, e can exceed customer needs in those markets that were serving. So it's actually allows me to x Sorry, my innovation engine, because I shift more and more resource is onto the newer stock now for Del Tech world. Yes, We got some cool stuff coming. You probably heard about a few of them. Uh, we're gonna be announcing a project project Apex. Hopefully you've been briefed on that already. This isn't new news or I'll be in trouble. But that's really around. Our strategy about delivering, simple, consistent as a service experiences for our customers bringing together are dealt technology as a service offering and our cloud strategy together. Onda also our technology offerings in our go to market all under a single unified effort, which Ellison do would be leading. Um, you know, on behalf of our executive leadership team s, that's one big area. And there is also another big one that I'll talk about a sui expand our as a service offers. And we think there's a big power to that in regards to our Dell Technologies. Cloud console solving will be launching a new cloud console that will provide uniformed experience across all the resources and give users and ability toe instantly managed every aspect of their cloud journey with just a few clicks. So going back to your broader point, it's all about simplicity. >>Yeah, we definitely all over Apex. That's something I wanted to ask you about this notion of as a service, really requiring it could have a new mindset, certainly from a pricing and how you talk about the customer experience that it's a whole new customer experience. Your you're basically giving them access. Thio What I would consider more of a platform on giving them some greater flexibility. Yeah, there's some constraints in there, but of course, you know the physical only put so much capacity and before him. But the idea of being ableto dial up, dial down within certain commitments is, I think, a powerful one. How does it change the way in which you you think about how you go about developing products just in terms of you know, this AP economy Infrastructure is code. How how you converse about those products internally and externally. How would you see that shaking >>out Dave? That's an awesome question. And it's actually for its front center. For everything we do, obviously, customers one choice and flexibility what they do. And to your point as we evolved warm or as a service, no specific product and product brands and logos on probably the way of the future. It's the services. It's the experience that you provide in regards to how we do that. So if you think about me, you know, in in infrastructure making infrastructure as a service, you really want to define what that customer experiences. That s L. A. That they're trying toe realize. And then how do we make sure that we build the right solutions? Products feature functions to enable that a law that goes back to the core engineering stuff that we need to dio right now, a lot of that stuff is about making sure that we have the right things around. If it's around developer community. If it's around AP rich, it's around. SdK is it's all about how do we leverage if it's internal source or external open source, if you will. It's regards to How do we do that? No. A thing that I think we all you know what you're well aware but we ought to keep in mind is that the cloud native applications are really relevant. Toe both the on premises, wealthy off premise. So think about things around portability reusability. You know, those are some great examples of just kind of how we think about this as we go forward. But those modern applications were required modern infrastructure, and regardless of how that infrastructure is abstracted now, just think about things like this. Aggregation or compose ability or Internet based computing. It's just it's a huge trend that we have to make sure we're thinking of. So is we. We just aggregate between the physical layers to the software layers and how we provide that to a service that could be think of a modern container based asset that could be repurposed. Either could be on a purpose built thing. It could be deployed in a converge or hyper converged. Or it could be two points a software feature in a cloud. Now, that's really how we're thinking about that, regards that we go forward. So we're talking about building modern assets or components That could be you right once we used many type model, and we can deploy that wherever you want because of some of the abstraction of desegregation that we're gonna do. >>E could see customers in the in the near term saying, I don't care so much about the product. I want the fast one all right with the cheaper one e. >>It's kind of what you talking about, that I talked about the ways. If you think about that regards, you know, maybe it's on a specific brand or portfolio. You look into and you say, Hey, what's the service level that I'd wanted to your point like Hey, for compute or for storage, it's really gonna end up being the specific S l A. And that's around performance or Leighton see, or cost or resiliency they want. They want that experience in that that you know, And that's why they're gonna be looking for the end of the end state. That's what we have to deliver is an engineering. >>So there's an opportunity here for you guys that I wonder if you could comment on. And that's the storage admin E. M. C essentially created. You know, you get this army of people that you know pretty good of provisioning lungs, although that's not really that's a great career path for folks. But program ability is, and this notion of infrastructure is code as you as you make your systems more programmable. Is there a skill set opportunity to take that army of constituents that you guys helped train and grow and over their careers and bring them along into sort of the next decade? This new era? >>I think the the easy answer is yes, I obviously that's a hard thing to do and you go forward. But I think embracing the change in the evolution of change, I think is a great opportunity. And I think there is e mean if you look step back and you think about data management, right? And you think about all the you know all data is not created equal and you know, and it has a life cycle, if you will. And so if it's on edge to Korda, Cloward, depending think about data vaults and data mobility and all that stuff. There's gonna be a bunch of different personas and people touching data along the way. I think the I T advance and the storage admin. They're just one of those personas that we have to help serve and way talk about How do we make them heroes, if you will, in regards to their broader environment. So if they're providing, if they evolve and really helped provide a modern infrastructure that really enables, you know infrastructure is a code or infrastructure as a service, they become a nightie hero, if you will for the rest of team. So I think there's a huge opportunity for them to evolve as the technology evolves. >>Yeah, you talked about you know, your families, your employees, your team s o. You obviously focused on them. You got your products going hitting all the marks. How are you spending your time these days? >>Thes days right now? Well, we're in. We're in our cycle for fiscal 22 planning. Right? And right now, a lot of that's above the specific markets were serving. It's gonna be about the strategy and making sure that we have people focused on those things. So it really comes back to some of the strategy tents were driving for next year. Now, as I said, our focus big time. Well, I guess for the for this year is one is consolidation of the core markets. Major focus for May 2 is going to be around winning in storage, and I want to be very specific. It's winning midrange storage. And that was one of the big reasons why Power Store came. That's gonna be a big focus on Bennett's really making sure that we're delivering on the as a service stuff that we just talked about in regards to all the technology innovation that's required to really provide the customer experience. And then, lastly, it's making sure that we take advantage of some of these growth factors. So you're going to see a dentist. Probably talked a lot about Telco, but telco on edge and as a service and cloud those things, they're just gonna be key to everything I do. So if you think about from poor infrastructure to some of these emerging opportunities Z, I'm spending all my time. >>Well, it's a It's a big business and a really important one for Fidel. Jeff Boudreau. Thanks so much for coming back in the Cube. Really a pleasure seeing you. I hope we can see each other face to face soon. >>You too. Thank you for having me. >>You're very welcome. And thank you for watching everybody keep it right there. This is Dave Volonte for the Cube. Our continuing coverage of Del Tech World 2020. We'll be right back right after this short break

>>from the Cube Studios >>in Palo Alto and >>Boston connecting with thought leaders all around the world. This is a cube conversation. >>Hey, welcome back here. Ready? Jeff Frick here with the Cube. We're doing a special presentation today really talking about AI and making ai really with two companies that are right in the heart of the Dell EMC as well as Intel. So we're excited to have a couple Cube alumni back on the program. Haven't seen him in a little while. First off from Intel. Lisa Spelman. She is the corporate VP and GM for the Xeon Group in Jersey on and Memory Group. Great to see you, Lisa. >>Good to see you again, too. >>And we've got Ravi Pinter. Conte. He is the SBP server product management, also from Dell Technologies. Ravi, great to see you as well. >>Good to see you on beast. Of course, >>yes. So let's jump into it. So, yesterday, Robbie, you guys announced a bunch of new kind of ai based solutions where if you can take us through that >>Absolutely so one of the things we did Jeff was we said it's not good enough for us to have a point product. But we talked about hope, the tour of products, more importantly, everything from our workstation side to the server to these storage elements and things that we're doing with VM Ware, for example. Beyond that, we're also obviously pleased with everything we're doing on bringing the right set off validated configurations and reference architectures and ready solutions so that the customer really doesn't have to go ahead and do the due diligence. Are figuring out how the various integration points are coming for us in making a solution possible. Obviously, all this is based on the great partnership we have with Intel on using not just their, you know, super cues, but FPG's as well. >>That's great. So, Lisa, I wonder, you know, I think a lot of people you know, obviously everybody knows Intel for your CPU is, but I don't think they recognize kind of all the other stuff that can wrap around the core CPU to add value around a particular solution. Set or problems. That's what If you could tell us a little bit more about Z on family and what you guys are doing in the data center with this kind of new interesting thing called AI and machine learning. >>Yeah. Um, so thanks, Jeff and Ravi. It's, um, amazing. The way to see that artificial intelligence applications are just growing in their pervasiveness. And you see it taking it out across all sorts of industries. And it's actually being built into just about every application that is coming down the pipe. And so if you think about meeting toe, have your hardware foundation able to support that. That's where we're seeing a lot of the customer interest come in. And not just a first Xeon, but, like Robbie said on the whole portfolio and how the system and solution configuration come together. So we're approaching it from a total view of being able to move all that data, store all of that data and cross us all of that data and providing options along that entire pipeline that move, um, and within that on Z on. Specifically, we've really set that as our cornerstone foundation for AI. If it's the most deployed solution and data center CPU around the world and every single application is going to have artificial intelligence in it, it makes sense that you would have artificial intelligence acceleration built into the actual hardware so that customers get a better experience right out of the box, regardless of which industry they're in or which specialized function they might be focusing on. >>It's really it's really wild, right? Cause in process, right, you always move through your next point of failure. So, you know, having all these kind of accelerants and the ways that you can carve off parts of the workload part of the intelligence that you can optimize betters is so important as you said Lisa and also Rocket and the solution side. Nobody wants General Ai just for ai sake. It's a nice word. Interesting science experiment. But it's really in the applied. A world is. We're starting to see the value in the application of this stuff, and I wonder you have a customer. You want to highlight Absalon, tell us a little bit about their journey and what you guys did with them. >>Great, sure. I mean, if you didn't start looking at Epsilon there in the market in the marketing business, and one of the crucial things for them is to ensure that they're able to provide the right data. Based on that analysis, there run on? What is it that the customer is looking for? And they can't wait for a period of time, but they need to be doing that in the near real time basis, and that's what excellent does. And what really blew my mind was the fact that they actually service are send out close to 100 billion messages. Again, it's 100 billion messages a year. And so you can imagine the amount of data that they're analyzing, which is in petabytes of data, and they need to do real time. And that's all possible because of the kind of analytics we have driven into the power It silver's, you know, using the latest of the Intel Intel Xeon processor couple with some of the technologies from the BGS side, which again I love them to go back in and analyze this data and service to the customers very rapidly. >>You know, it's funny. I think Mark Tech is kind of an under appreciated ah world of ai and, you know, in machine to machine execution, right, That's the amount of transactions go through when you load a webpage on your site that actually ideas who you are you know, puts puts a marketplace together, sells time on that or a spot on that ad and then lets people in is a really sophisticated, as you said in massive amounts of data going through the interesting stuff. If it's done right, it's magic. And if it's done, not right, then people get pissed off. You gotta have. You gotta have use our tools. >>You got it. I mean, this is where I talked about, you know, it can be garbage in garbage out if you don't really act on the right data. Right. So that is where I think it becomes important. But also, if you don't do it in a timely fashion, but you don't service up the right content at the right time. You miss the opportunity to go ahead and grab attention, >>right? Right. Lisa kind of back to you. Um, you know, there's all kinds of open source stuff that's happening also in the in the AI and machine learning world. So we hear things about tense or flow and and all these different libraries. How are you guys, you know, kind of embracing that world as you look at ai and kind of the development. We've been at it for a while. You guys are involved in everything from autonomous vehicles to the Mar Tech. Is we discussed? How are you making sure that these things were using all the available resources to optimize the solutions? >>Yeah, I think you and Robbie we're just hitting on some of those examples of how many ways people have figured out how to apply AI now. So maybe at first it was really driven by just image recognition and image tagging. But now you see so much work being driven in recommendation engines and an object detection for much more industrial use cases, not just consumer enjoyment and also those things you mentioned and hit on where the personalization is a really fine line you walk between. How do you make an experience feel good? Personalized versus creepy personalized is a real challenge and opportunity across so many industries. And so open source like you mentioned, is a great place for that foundation because it gives people the tools to build upon. And I think our strategy is really a stack strategy that starts first with delivering the best hardware for artificial intelligence and again the other is the foundation for that. But we also have, you know, Milat type processing for out of the Edge. And then we have all the way through to very custom specific accelerators into the data center, then on top about the optimized software, which is going into each of those frameworks and doing the work so that the framework recognizes the specific acceleration we built into the CPU. Whether that steel boost or recognizes the capabilities that sit in that accelerator silicon, and then once we've done that software layer and this is where we have the opportunity for a lot of partnership is the ecosystem and the solutions work that Robbie started off by talking about. So Ai isn't, um, it's not easy for everyone. It has a lot of value, but it takes work to extract that value. And so partnerships within the ecosystem to make sure that I see these are taking those optimization is building them in and fundamentally can deliver to customers. Reliable solution is the last leg of that of that strategy, but it really is one of the most important because without it you get a lot of really good benchmark results but not a lot of good, happy customer, >>right? I'm just curious, Lee says, because you kind of sit in the catbird seat. You guys at the core, you know, kind of under all the layers running data centers run these workloads. How >>do you see >>kind of the evolution of machine learning and ai from kind of the early days, where with science projects and and really smart people on mahogany row versus now people are talking about trying to get it to, like a citizen developer, but really a citizen data science and, you know, in exposing in the power of AI to business leaders or business executioners. Analysts, if you will, so they can apply it to their day to day world in their day to day life. How do you see that kind of evolving? Because you not only in it early, but you get to see some of the stuff coming down the road in design, find wins and reference architectures. How should people think about this evolution? >>It really is one of those things where if you step back from the fundamentals of AI, they've actually been around for 50 or more years. It's just that the changes in the amount of computing capability that's available, the network capacity that's available and the fundamental efficiency that I t and infrastructure managers and get out of their cloud architectures as allowed for this pervasiveness to evolve. And I think that's been the big tipping point that pushed people over this fear. Of course, I went through the same thing that cloud did where you had maybe every business leader or CEO saying Hey, get me a cloud and I'll figure out what for later give me some AI will get a week and make it work, But we're through those initial use pieces and starting to see a business value derived from from those deployments. And I think some of the most exciting areas are in the medical services field and just the amount, especially if you think of the environment we're in right now. The amount of efficiency and in some cases, reduction in human contact that you could require for diagnostics and just customer tracking and ability, ability to follow their entire patient History is really powerful and represents the next wave and care and how we scale our limited resource of doctors nurses technician. And the point we're making of what's coming next is where you start to see even more mass personalization and recommendations in that way that feel very not spooky to people but actually comforting. And they take value from them because it allows them to immediately act. Robbie reference to the speed at which you have to utilize the data. When people get immediately act more efficiently. They're generally happier with the service. So we see so much opportunity and we're continuing to address across, you know, again that hardware, software and solution stack so we can stay a step ahead of our customers, >>Right? That's great, Ravi. I want to give you the final word because you guys have to put the solutions together, it actually delivering to the customer. So not only, you know the hardware and the software, but any other kind of ecosystem components that you have to bring together. So I wonder if you can talk about that approach and how you know it's it's really the solution. At the end of the day, not specs, not speeds and feeds. That's not really what people care about. It's really a good solution. >>Yeah, three like Jeff, because end of the day I mean, it's like this. Most of us probably use the A team to retry money, but we really don't know what really sits behind 80 and my point being that you really care at that particular point in time to be able to put a radio do machine and get your dollar bills out, for example. Likewise, when you start looking at what the customer really needs to know, what Lisa hit upon is actually right. I mean what they're looking for. And you said this on the whole solution side house. To our our mantra to this is very simple. We want to make sure that we use the right basic building blocks, ensuring that we bring the right solutions using three things the right products which essentially means that we need to use the right partners to get the right processes in GPU Xen. But then >>we get >>to the next level by ensuring that we can actually do things we can either provide no ready solutions are validated reference architectures being that you have the sausage making process that you now don't need to have the customer go through, right? In a way. We have done the cooking and we provide a recipe book and you just go through the ingredient process of peering does and then off your off right to go get your solution done. And finally, the final stages there might be helped that customers still need in terms of services. That's something else Dell technology provides. And the whole idea is that customers want to go out and have them help deploying the solutions. We can also do that we're services. So that's probably the way we approach our data. The way we approach, you know, providing the building blocks are using the right technologies from our partners, then making sure that we have the right solutions that our customers can look at. And finally, they need deployment. Help weaken due their services. >>Well, Robbie, Lisa, thanks for taking a few minutes. That was a great tee up, Rob, because I think we're gonna go to a customer a couple of customer interviews enjoying that nice meal that you prepared with that combination of hardware, software, services and support. So thank you for your time and a great to catch up. All right, let's go and run the tape. Hi, Jeff. I wanted to talk about two examples of collaboration that we have with the partners that have yielded Ah, really examples of ah put through HPC and AI activities. So the first example that I wanted to cover is within your AHMAD team up in Canada with that team. We collaborated with Intel on a tuning of algorithm and code in order to accelerate the mapping of the human brain. So we have a cluster down here in Texas called Zenith based on Z on and obtain memory on. And we were able to that customer with the three of us are friends and Intel the norm, our team on the Dell HPC on data innovation, injuring team to go and accelerate the mapping of the human brain. So imagine patients playing video games or doing all sorts of activities that help understand how the brain sends the signal in order to trigger a response of the nervous system. And it's not only good, good way to map the human brain, but think about what you can get with that type of information in order to help cure Alzheimer's or dementia down the road. So this is really something I'm passionate about. Is using technology to help all of us on all of those that are suffering from those really tough diseases? Yeah, yeah, way >>boil. I'm a project manager for the project, and the idea is actually to scan six participants really intensively in both the memory scanner and the G scanner and see if we can use human brain data to get closer to something called Generalized Intelligence. What we have in the AI world, the systems that are mathematically computational, built often they do one task really, really well, but they struggle with other tasks. Really good example. This is video games. Artificial neural nets can often outperform humans and video games, but they don't really play in a natural way. Artificial neural net. Playing Mario Brothers The way that it beats the system is by actually kind of gliding its way through as quickly as possible. And it doesn't like collect pennies. For example, if you play Mary Brothers as a child, you know that collecting those coins is part of your game. And so the idea is to get artificial neural nets to behave more like humans. So like we have Transfer of knowledge is just something that humans do really, really well and very naturally. It doesn't take 50,000 examples for a child to know the difference between a dog and a hot dog when you eat when you play with. But an artificial neural net can often take massive computational power and many examples before it understands >>that video games are awesome, because when you do video game, you're doing a vision task instant. You're also doing a >>lot of planning and strategy thinking, but >>you're also taking decisions you several times a second, and we record that we try to see. Can we from brain activity predict >>what people were doing? We can break almost 90% accuracy with this type of architecture. >>Yeah, yeah, >>Use I was the lead posts. Talk on this collaboration with Dell and Intel. She's trying to work on a model called Graph Convolution Neural nets. >>We have being involved like two computing systems to compare it, like how the performance >>was voting for The lab relies on both servers that we have internally here, so I have a GPU server, but what we really rely on is compute Canada and Compute Canada is just not powerful enough to be able to run the models that he was trying to run so it would take her days. Weeks it would crash, would have to wait in line. Dell was visiting, and I was invited into the meeting very kindly, and they >>told us that they started working with a new >>type of hardware to train our neural nets. >>Dell's using traditional CPU use, pairing it with a new >>type off memory developed by Intel. Which thing? They also >>their new CPU architectures and really optimized to do deep learning. So all of that sounds great because we had this problem. We run out of memory, >>the innovation lab having access to experts to help answer questions immediately. That's not something to gate. >>We were able to train the attic snatch within 20 minutes. But before we do the same thing, all the GPU we need to wait almost three hours to each one simple way we >>were able to train the short original neural net. Dell has been really great cause anytime we need more memory, we send an email, Dell says. Yeah, sure, no problem. We'll extended how much memory do you need? It's been really simple from our end, and I think it's really great to be at the edge of science and technology. We're not just doing the same old. We're pushing the boundaries. Like often. We don't know where we're going to be in six months. In the big data world computing power makes a big difference. >>Yeah, yeah, yeah, yeah. The second example I'd like to cover is the one that will call the data accelerator. That's a publisher that we have with the University of Cambridge, England. There we partnered with Intel on Cambridge, and we built up at the time the number one Io 500 storage solution on. And it's pretty amazing because it was built on standard building blocks, power edge servers until Xeon processors some envy me drives from our partners and Intel. And what we did is we. Both of this system with a very, very smart and elaborate suffering code that gives an ultra fast performance for our customers, are looking for a front and fast scratch to their HPC storage solutions. We're also very mindful that this innovation is great for others to leverage, so the suffering Could will soon be available on Get Hub on. And, as I said, this was number one on the Iot 500 was initially released >>within Cambridge with always out of focus on opening up our technologies to UK industry, where we can encourage UK companies to take advantage of advanced research computing technologies way have many customers in the fields of automotive gas life sciences find our systems really help them accelerate their product development process. Manage Poor Khalidiya. I'm the director of research computing at Cambridge University. Yeah, we are a research computing cloud provider, but the emphasis is on the consulting on the processes around how to exploit that technology rather than the better results. Our value is in how we help businesses use advanced computing resources rather than the provision. Those results we see increasingly more and more data being produced across a wide range of verticals, life sciences, astronomy, manufacturing. So the data accelerators that was created as a component within our data center compute environment. Data processing is becoming more and more central element within research computing. We're getting very large data sets, traditional spinning disk file systems can't keep up and we find applications being slowed down due to a lack of data, So the data accelerator was born to take advantage of new solid state storage devices. I tried to work out how we can have a a staging mechanism for keeping your data on spinning disk when it's not required pre staging it on fast envy any stories? Devices so that can feed the applications at the rate quiet for maximum performance. So we have the highest AI capability available anywhere in the UK, where we match II compute performance Very high stories performance Because for AI, high performance storage is a key element to get the performance up. Currently, the data accelerated is the fastest HPC storage system in the world way are able to obtain 500 gigabytes a second read write with AI ops up in the 20 million range. We provide advanced computing technologies allow some of the brightest minds in the world really pushed scientific and medical research. We enable some of the greatest academics in the world to make tomorrow's discoveries. Yeah, yeah, yeah. >>Alright, Welcome back, Jeff Frick here and we're excited for this next segment. We're joined by Jeremy Raider. He is the GM digital transformation and scale solutions for Intel Corporation. Jeremy, great to see you. Hey, thanks for having me. I love I love the flowers in the backyard. I thought maybe you ran over to the Japanese, the Japanese garden or the Rose Garden, Right To very beautiful places to visit in Portland. >>Yeah. You know, you only get him for a couple. Ah, couple weeks here, so we get the timing just right. >>Excellent. All right, so let's jump into it. Really? And in this conversation really is all about making Ai Riel. Um, and you guys are working with Dell and you're working with not only Dell, right? There's the hardware and software, but a lot of these smaller a solution provider. So what is some of the key attributes that that needs to make ai riel for your customers out there? >>Yeah, so, you know, it's a it's a complex space. So when you can bring the best of the intel portfolio, which is which is expanding a lot, you know, it's not just the few anymore you're getting into Memory technologies, network technologies and kind of a little less known as how many resources we have focused on the software side of things optimizing frameworks and optimizing, and in these key ingredients and libraries that you can stitch into that portfolio to really get more performance in value, out of your machine learning and deep learning space. And so you know what we've really done here with Dell? It has started to bring a bunch of that portfolio together with Dell's capabilities, and then bring in that ai's V partner, that software vendor where we can really take and stitch and bring the most value out of that broad portfolio, ultimately using using the complexity of what it takes to deploy an AI capability. So a lot going on. They're bringing kind of the three legged stool of the software vendor hardware vendor dental into the mix, and you get a really strong outcome, >>right? So before we get to the solutions piece, let's stick a little bit into the Intel world. And I don't know if a lot of people are aware that obviously you guys make CPUs and you've been making great CPIs forever. But there's a whole lot more stuff that you've added, you know, kind of around the core CPU. If you will in terms of of actual libraries and ways to really optimize the seond processors to operate in an AI world. I wonder if you can kind of take us a little bit below the surface on how that works. What are some of the examples of things you can do to get more from your Gambira Intel processors for ai specific applications of workloads? >>Yeah, well, you know, there's a ton of software optimization that goes into this. You know that having the great CPU is definitely step one. But ultimately you want to get down into the libraries like tensor flow. We have data analytics, acceleration libraries. You know, that really allows you to get kind of again under the covers a little bit and look at it. How do we have to get the most out of the kinds of capabilities that are ultimately used in machine learning in deep learning capabilities, and then bring that forward and trying and enable that with our software vendors so that they can take advantage of those acceleration components and ultimately, you know, move from, you know, less training time or could be a the cost factor. But those are the kind of capabilities we want to expose to software vendors do these kinds of partnerships. >>Okay. Ah, and that's terrific. And I do think that's a big part of the story that a lot of people are probably not as aware of that. There are a lot of these optimization opportunities that you guys have been leveraging for a while. So shifting gears a little bit, right? AI and machine learning is all about the data. And in doing a little research for this, I found actually you on stage talking about some company that had, like, 350 of road off, 315 petabytes of data, 140,000 sources of those data. And I think probably not great quote of six months access time to get that's right and actually work with it. And the company you're referencing was intel. So you guys know a lot about debt data, managing data, everything from your manufacturing, and obviously supporting a global organization for I t and run and ah, a lot of complexity and secrets and good stuff. So you know what have you guys leveraged as intel in the way you work with data and getting a good data pipeline. That's enabling you to kind of put that into these other solutions that you're providing to the customers, >>right? Well, it is, You know, it's absolutely a journey, and it doesn't happen overnight, and that's what we've you know. We've seen it at Intel on We see it with many of our customers that are on the same journey that we've been on. And so you know, this idea of building that pipeline it really starts with what kind of problems that you're trying to solve. What are the big issues that are holding you back that company where you see that competitive advantage that you're trying to get to? And then ultimately, how do you build the structure to enable the right kind of pipeline of that data? Because that's that's what machine learning and deep learning is that data journey. So really a lot of focus around you know how we can understand those business challenges bring forward those kinds of capabilities along the way through to where we structure our entire company around those assets and then ultimately some of the partnerships that we're gonna be talking about these companies that are out there to help us really squeeze the most out of that data as quickly as possible because otherwise it goes stale real fast, sits on the shelf and you're not getting that value out of right. So, yeah, we've been on the journey. It's Ah, it's a long journey, but ultimately we could take a lot of those those kind of learnings and we can apply them to our silicon technology. The software optimization is that we're doing and ultimately, how we talk to our enterprise customers about how they can solve overcome some of the same challenges that we did. >>Well, let's talk about some of those challenges specifically because, you know, I think part of the the challenge is that kind of knocked big data, if you will in Hadoop, if you will kind of off the rails. Little bit was there's a whole lot that goes into it. Besides just doing the analysis, there's a lot of data practice data collection, data organization, a whole bunch of things that have to happen before. You can actually start to do the sexy stuff of AI. So you know, what are some of those challenges. How are you helping people get over kind of these baby steps before they can really get into the deep end of the pool? >>Yeah, well, you know, one is you have to have the resource is so you know, do you even have the resource is if you can acquire those Resource is can you keep them interested in the kind of work that you're doing? So that's a big challenge on and actually will talk about how that fits into some of the partnerships that we've been establishing in the ecosystem. It's also you get stuck in this poc do loop, right? You finally get those resource is and they start to get access to that data that we talked about. It start to play out some scenarios, a theorize a little bit. Maybe they show you some really interesting value, but it never seems to make its way into a full production mode. And I think that is a challenge that has faced so many enterprises that are stuck in that loop. And so that's where we look at who's out there in the ecosystem that can help more readily move through that whole process of the evaluation that proved the r a y, the POC and ultimately move that thing that capability into production mode as quickly as possible that you know that to me is one of those fundamental aspects of if you're stuck in the POC. Nothing's happening from this. This is not helping your company. We want to move things more quickly, >>right? Right. And let's just talk about some of these companies that you guys are working with that you've got some reference architectures is data robot a Grid dynamics H 20 just down the road in Antigua. So a lot of the companies we've worked with with Cube and I think you know another part that's interesting. It again we can learn from kind of old days of big data is kind of generalized. Ai versus solution specific. Ai and I think you know where there's a real opportunity is not AI for a sake, but really it's got to be applied to a specific solution, a specific problem so that you have, you know, better chatbots, better customer service experience, you know, better something. So when you were working with these folks and trying to design solutions or some of the opportunities that you saw to work with some of these folks to now have an applied a application slash solution versus just kind of AI for ai's sake. >>Yeah. I mean, that could be anything from fraud, detection and financial services, or even taking a step back and looking more horizontally like back to that data challenge. If if you're stuck at the AI built a fantastic Data lake, but I haven't been able to pull anything back out of it, who are some of the companies that are out there that can help overcome some of those big data challenges and ultimately get you to where you know, you don't have a data scientist spending 60% of their time on data acquisition pre processing? That's not where we want them, right? We want them on building out that next theory. We want them on looking at the next business challenge. We want them on selecting the right models, but ultimately they have to do that as quickly as possible so that they can move that that capability forward into the next phase. So, really, it's about that that connection of looking at those those problems or challenges in the whole pipeline. And these companies like data robot in H 20 quasi. Oh, they're all addressing specific challenges in the end to end. That's why they've kind of bubbled up as ones that we want to continue to collaborate with, because it can help enterprises overcome those issues more fast. You know more readily. >>Great. Well, Jeremy, thanks for taking a few minutes and giving us the Intel side of the story. Um, it's a great company has been around forever. I worked there many, many moons ago. That's Ah, that's a story for another time, but really appreciate it and I'll interview you will go there. Alright, so super. Thanks a lot. So he's Jeremy. I'm Jeff Frick. So now it's time to go ahead and jump into the crowd chat. It's crowdchat dot net slash make ai real. Um, we'll see you in the chat. And thanks for watching

>>from the Cube Studios in Palo Alto and Boston connecting with thought leaders all around the world. This is a cube conversation. >>Alright, welcome back. Jeff Frick here. And we're excited for this next segment. We're joined by Jeremy Raider. He is the GM digital transformation and scale solutions for Intel Corporation. Jeremy, great to see you. Hey, thanks for having me. I love I love the flowers in the backyard. I thought maybe you ran over to the Japanese, the Japanese garden or the Rose Garden. Right To very beautiful places to visit in Portland. >>Yeah. You know, you only get for a couple Ah, couple weeks here, so we get the timing just right. >>Excellent. All right, so let's jump into it. Really? And in this conversation really is all about making Ai Riel. Um, and you guys are working with Dell and you're working with not only Dell, right? There's the hardware and software, but a lot of these smaller a solution provider. So what is some of the key attributes that that needs to make ai riel for your customers out there? >>Yeah. So you know, it's a It's a complex space. So when you can bring the best of the Intel portfolio, which is which is expanding a lot. You know, it's not just the few anymore you're getting into memory technologies, network technologies and kind of a little less known as how many resources we have focused on the software side of things optimizing frameworks and optimizing and in these key ingredients and libraries that you can stitch into that portfolio to really get more performance in value, out of your machine learning and deep learning space. And so you know what we've really done here with Dell? It has started to bring a bunch of that portfolio together with Dell's capabilities, and then bring in that ai's V partner, that software vendor where we can really take and stitch and bring the most value out of a broad portfolio. Ultimately using using the complexity of what it takes to deploy an AI capability. So a lot going on. They're bringing kind of the three legged stool of the software vendor hardware vendor dental into the mix, and you get a really strong outcome, >>right? So before we get to the solutions piece, let's stick a little bit into the intel world, and I don't know if a lot of people are aware that obviously you guys make CPUs and you've been making great CPS forever. But there's a whole lot more stuff that you've added, you know, kind of around the core CPU, if you will. In terms of of actual libraries and ways to really optimize the seond processors to operate in an AI world. I wonder if you can kind of take us a little bit below the surface on how that works. What are some of the examples of things you can do to get more from your Gambira Intel processors for AI specific applications of workloads? >>Yeah, well, you know, there's a ton of software optimization that goes into this. You know that having the great CPU is definitely step one. But ultimately you want to get down into the libraries like tensor flow. We have data analytics, acceleration libraries. You know, that really allows you to get kind of again under the covers a little bit and look at how do we have to get the most out of the kinds of capabilities that are ultimately used in machine learning in deep learning capabilities, and then bring that forward and trying and enable that with our software vendors so that they can take advantage of those acceleration components and ultimately, you know, move from, you know, less training time or could be a cost factor, right? Those are the kind of capabilities we want to expose to software vendors do these kinds of partnerships >>on, and that's terrific. And I do think that's a big part of the story that a lot of people are probably not as aware of that. There are a lot of these optimization opportunities that you guys have been leveraging for a while. So shifting gears a little bit right AI and machine learning is all about the data. And in doing a little research for this, I found actually you on stage talking about some company that had, like, 350 of road off 315 petabytes of of data, 140,000 sources of those data, and I think probably not great quote of six months access time to get it right and actually work with it. And the company you're referencing was intel. So you guys know a lot about debt data, managing data, everything from your manufacturing and and obviously supporting a global organization for I, t and Brian and, ah, a lot of complexity and secrets and good stuff. So you know what have you guys leveraged as intel in the way you work with data and getting a good data pipeline that's enabling you to kind of put that into these other solutions that you're providing to the customers, >>right? Well is, you know, it's absolutely a journey, and it doesn't happen overnight, and that's what we've you know. We've seen it at Intel on We see it with many of our customers that are on the same journey that we've been on. And so you know, this idea of building that pipeline it really starts with what kind of problems that you're trying to solve. What are the big issues that are holding you back that company where you see that competitive advantage that you're trying to get to? And then ultimately, how do you build the structure to enable the right kind of pipeline of that data? Because that's that's what machine learning and deep learning is that data journey. So really a lot of focus around you know how we can understand those business challenges bring forward those kinds of capabilities along the way through to where we structure our entire company around those assets. And then ultimately, some of the partnerships that we're gonna be talking about these companies that are out there to help us really squeeze the most out of that data as quickly as possible because otherwise it goes stale real fast, sits on the shelf, and you're not getting that value out of right. So, yeah, we've been on the journey. It's ah, it's a long journey. But ultimately we could take a lot of those those kind of learnings and we can apply them to our silicon technology. The software optimization is that we're doing and ultimately, how we talk to our enterprise customers about how they can solve overcome some of the same challenges that we did. >>Well, let's talk about some of those challenges specifically because, you know, I think part of the the challenge is that kind of knocked big data, if you will in Hadoop, if you will kind of off the rails. Little bit was, there's a whole lot that goes into it. Besides just doing the analysis There's a lot of data practice data collection, data organization, a whole bunch of things that have to happen before You can actually start to do the sexy stuff of AI. So you know, what are some of those challenges? How are you helping people get over kind of these baby steps before they can really get into the deep end of the pool? >>Yeah, well, you know, one is you have to have the resource is so you know, do you even have the resource is if you can acquire those Resource is can you keep them interested in that kind of work that you're doing? So that's a big challenge on and actually will talk about how that fits into some of the partnerships that we've been establishing in the ecosystem. It's also you get stuck in this poc do loop, right? You finally get those resource is and they start to get access to that data that we talked about. They start to play out some scenarios a theorize a little bit. Maybe they show you some really interesting value, but it never seems to make its way into a full production mode. And I think that is a challenge that is facing so many enterprises that are stuck in that loop. And so that's where we look at who's out there in the ecosystem That can help more readily move through that whole process of the evaluation that proved they are a why the POC and ultimately move that thing that capability into production mode as quickly as possible that you know that to me is one of those fundamental aspects of if you're stuck in the POC. Nothing's happening from this. This is not helping your company. We want to move things more quickly, >>right? Right. And let's just talk about some of these companies that you guys are working with that you've got some reference architectures is data robot a Grid Dynamics H 20 just down the road in Antigua. So a lot of the companies we've worked with with Cube and I think you know another part that's interesting. It again we can learn from kind of old days of big data is kind of generalized. Ai versus solution specific. Ai and I think you know where there's a real opportunity is not AI for a sake, but really it's got to be applied to a specific solution. A specific problem so that you have, you know, better chatbots. Better customer service experience, you know, better something. So when you were working with these folks and trying to design solutions or some of the opportunities that you saw to work with, some of these folks to now have an applied a application slash solution versus just kind of AI for ai's sake, >>Yeah. I mean, that could be anything from fraud, detection and financial services, or even taking a step back and looking more horizontally like back to that data challenge. If if you're stuck at the AI built a fantastic data lake, but I haven't been able to pull anything back out of it, who are some of the companies that are out there that can help overcome some of those big data challenges and ultimately get you to where you know, you don't have a data scientist spending 60% of their time on data acquisition pre processing? That's not where we want them, right? We want them on building out that next theory. We want them on looking at the next business challenge. We want them on selecting the right models, but ultimately they have to do that as quickly as possible so that they can move that that capability forward into the next phase. So, really, it's about that that connection of looking at those those problems or challenges in the whole pipeline. And these companies like Data robot in H 20 because you know, they're all addressing specific challenges in the end to end. That's why they've kind of bubbled up as ones that we want to continue to collaborate with, because it can help enterprises overcome those issues more fast. You know more readily. >>Great. Well, Jeremy, thanks for taking a few minutes and giving us the Intel side of the story. Um, it's a great company. Has been around forever. I worked there many, many moons ago. That's Ah, that's a story for another time. But really appreciate it and >>I'll interview you >>will go there. Alright, So super Thanks a lot. So he's Jeremy. I'm Jeff Frick. So now it's time to go ahead and jump into the crowd chat. It's crowdchat dot net slash make ai Really, Um, we'll see you in the chat. And thanks for watching. Yeah, yeah, yeah, yeah

>>Yeah, >>from The Cube Studios in Palo Alto and Boston. It's the Cube covering IBM. Think brought to you by IBM. >>Hi, everybody. We're back. And you're watching the Cube's coverage of the IBM think digital event for 2020. This is that he's socially distant and socially responsible. You? My name is Dave a lot. David Larose. Who's the general manager of the IBM partner ecosystem? David, Good to see you. >>Likewise. Great to be here. >>Yes, it is. Your first year in running the the ecosystem. You probably don't expect to be managing through the this world crisis this novel Corona virus. But what was your first move? Your outreach to partners? How are you communicating to them? Maybe you could share with us how that's all going. >>It certainly wasn't in the break. So when I took this job, you're right. But, you know, we have a very strong relationship with with our partners, and what we have is we have a global advisory board. So about 25 or 30 of our largest customers across the world, we engaged with them very, very quickly. That's all of the CIOs presidents, vice presidents of styles, um, and we engage with them on a survey and said, How are you thinking about it's what are the what are your big concerns and, you know, not unusually. They came back with a couple of key things. Number one was, and their primary concern is how do they support their clients? That was probably number one on their list of things followed very closely. By enabling their firms that have a financial stability that was number two and then probably number three. I would say it was, you know, managing their work. But they're moving to a digital only type of environment, similar to what IBM has done ever kind of the three, the three big concerns. And then we spent some time talking to them about how we could help, then really deal with that and address some of those problems. And earlier this week, we we announced so therefore very key things around. How do we help them? One. How do we adapt our programs and our incentives and, uh, really looking at providing them with, you know, extension of things like loyalty program. So don't worry about you know, your ability to re validate and recertify. We gotta protect your loyalty for 2020. We added a lot of incentives in the hardware systems program in the second quarter, so we've increased by half a percent off their based incentive from the first dollar that a lot of areas around programs in terms. Then we sort of really tried to address that point of view around digital. Um, some companies were digitally ready, but there are many companies that weren't actually know a digital platform, but also we very quickly rolled out what we call it my digital marketing platform, where partners can come in and download content and curate content from IBM and then wrap their own campaigns around that and get that out and continue to engage with their clients and their partners. Um, and we funding all of that 100% from an IBM perspective on using our car marketing goals. We used to have a 50 50 funding model without with their partners. But in this particular scenario, that's a digital program that they're running with funding at 100%. And then we're also opening up to provide consultancy on how to optimize digital. So I think you know the thing that we've done here is just their programs in terms quickly, um, or money back into the into the program during the second quarter and protect the ability for our partners and then really trying to help them and enable them to get Teoh Digital our workforce and the digital program. >>Yeah, a couple things there. I mean, we were talking earlier to the the folks from IBM Global Finance, and that's a key part that you mentioned liquidity. You know, certainly these partners air obviously very much concerned about the uncertainty ahead. So having a partner like IBM that can, whether it's, you know, pass on, you know, lease terms, etcetera and provide that sort of blacking is this key? I think the other thing, too we've heard from a lot of executives, is you've got to stay close to your clients during we always do, but especially during times like this, And that's where partners are so crucial in IBM huge company, you know, massive direct sales force, but you can't cover everything. And so having the partner who's got intimate relationships, I mean, I was on a call earlier this week with a partner in Minneapolis I mean, he knows everybody in that region. And so you just that level of intimacy, I think becomes very, very important in times like this, doesn't it? >>Absolutely. And stay connected with with that. So we have about, you know, just a lot of, Ah, 21,000 active planners across across the world and staying close to the senior members of our largest partners is is really important to us. We had a We hosted a call earlier this week actually, with with their advisory council to test the programs that we've gotten in the market, Are they getting where they need, where they need the help the most? We take a lot of feedback with adjusted our programs. We're looking at this on a literally a daily basis right now on don't envisage that we would we would update pretty agile in terms of how we move that. But you know, to your point, having a partner network that we do have around by the hardware and software only on and is right, so learn what were wrong. You know what they're hearing from their pot from their clients and, you know, it allows us to more easily and quickly address needs across all of the IBM client set. >>So we interview a lot of partners, and, you know, when you talk to the familiar, they've got to make money. They have. The margin is very important to them, but it's almost it's table stakes. I mean, again, they can make money a lot of different ways. So what differentiates the suppliers is all these other things that you're talking about? Um, So I want to ask you when you came in to this this role, what you're doing priorities in terms of, you know, partner outreach, retaining that, that loyalty And what do you see changing a za result of this pandemic? >>Yeah, it's a great question. So look, four key priorities that we declared very early on and, by the way, you know, took over from John Touched at the time. And John has spent the last two years really transforming, um, your channel and the way we engage with channel. And so there was a lot of hard lifting that was already done, but it was sort of four. Things that we focused in on one was obviously, how do we continue? Accelerate IBM drive into the hybrid multi cloud market, particularly now with the integration of Red Hat into the organization. That's a very different, you know, sales motion that Wei had so accelerating that was one of the key parties, the 2nd 1 waas. And how do we continue to differentiate on the value and so ensuring that that our programs are staying up to speed and that they're being modernized? You know, the IBM possible program is being a program predominantly built on Recile over the last 10 years. Now the microchip that we're now talking about platforms not talking about consumption. And this week during Partner World, we're gonna talk about how we are going to evolve the part of the program to move into the rest partners who are building on platforms. And how about they're moving to consumption again, all around hybrid, multi, multi cloud. That's kind of the second thing skills, skills and expertise for out for a channel. We kind of have declared that we want our channel to be the most skilled channel in the industry, and it's really interesting, Dave, during this period of the pandemic, it's one of these times where we seem to have more recent and more time, and the partners have been giving us a lot of feedback to say during this time around. Workforce is home and is connected digitally. Why don't we? Wasn't IBM help with in enhancing the enablement programme certification? And so we're doing a lot around that. We see a Z great opportunity to CIO to really develop certifications and skills and expertise during this period. Um, and then the full thing is around winning in what we call out selective segments. And so we want our partners to operate across the IBM portfolio and across our client set. But where we really need the help and where we're putting the money in the programs is around the mid size organizations where they can bring the portfolio into places that it doesn't have this today, new clients or existing clients with with IBM. But the Jason like server was that kind of the four priorities and what we're seeing is and this situation that we're going through this pandemic going through, it's actually accelerating the areas around moving. My partner multi cloud cloud is becoming a differentiator for us and accelerating. I need to get a program that is relevant beyond just resell. But you know this, this concept of platforms and building. But as they build with their own light beyond platform and consumption, So I think it's it's actually accelerating what we've seen and have it moving forward. >>It's interesting what you're saying about resale. We've talked many, many years now on the Cube about the partner ecosystem. It really used to be about resale. You know, we have a majority of his box selling, and you could make a lot of money doing that, you know, a decade or two ago. But when Cloud came, partners really started to underst and that that there was a sea change happening in I T. For a while there, they thought, Wow, you know, this is really going to be challenging. Cloud's going to kill us. But what they realized after a while is with five exactly complex hybrid Cloud is it's not simple to cure and create a seamless experience across clouds on prime etcetera. So the huge opportunities open up, add value. So there's been a massive change in the mindset. Uh, and it sounds like particularly with digital, that the pandemic is going to accelerate that on. People are going to come out of this, um, almost having done some exercises, maybe in a little bit better shape than they came into it. You buy that premise? >>My question is no question about it. I mean, if you think about, you know, IBM portfolio for a minute. Um, and over the last really 6 to 9 months, we have containerized out our software portfolio. It's based on the, you know, the kubernetes container ization and an open ship. So we're ready from a portfolio perspective. And, you know, now we're catching up from a program perspective we're introducing this week and out in the world this concept of a build program and a service program, and so that is their will preserve and continue to evolve the cell program that resell. But you know this concept of the build program and the service programs and only extend the reach that we have to the data and the ecosystem that we're operating in new sets of partners. But is that one of transition, that business from recent consumption? We're going to support that. But then you have to your point around this whole digital everything from digital capabilities around, generating amount of opportunity and a little bit about that earlier with my program and the funding that we've got behind that the experience that we're we're offering as consultants, but also this concept of digital selling. You know, there's not all about partners are savvy around digital selling. So we've been doing that for many, many years. And, uh and so we're opening up digital selling Enablement sessions, Webinars consultancy and a bunch of assets that that IBM has and has invested in for many, many years and opening that up to you want to add channel? >>Yes, There was some great opportunities there for our partners. I mean, we The Cube has been covering the Red Hat Summit we had Jim Whitehurst on. We're in the process of scheduling Arvin so great to see, you know, kind of connect the dots between those franchises and identify the opportunities, and they're significant. I mean, Red Hat has a lot of momentum in the market. IBM has a huge presence, great opportunity to modernize applications, And then your point about the hardware side we just saw on IBM s latest earnings, released at the Fisher running in hardware right now on, uh, you know, obviously tailwind of the Z cycle, but other parts of the portfolio storage from 19%. So so some exciting times for partners, even though there's so much uncertainty in the market again, staying close to customers, you know, doing doing right by your employees, leveraging the IBM relationship where you're obviously providing a lot of backdrop in support. David, I wonder if you could just sort of wrap a bow around. You know, think 2020 is the virtual trucks are pulling away away from the virtual digital Mosconi. What's the take? Aways will give us the bumper sticker. >>Look, the bumper sticker is that it's never been a better time to be an idea. We've got a leading portfolio that is now ready for the new world. Will the consumption and the world building on um, we are, you know, we're modernizing our programs to ensure that you can make money here. There's a lot of money to be made as we as we get into this thing, this new world and we are behind you right now to support you financially and to get you develop digitally enabled guy. So never been a time to be an IBM partner right now. >>David. Great message. Thank you very much for coming on the Cube. And best of luck to you. Stay safe and ah, again, really appreciate your time. >>You too, Dave. Thanks very much. Bye. Site. >>You know, uh, and you're watching the Cube here at IBM? Think 2020. Our digital coverage. We'll be right back right after this short break. I'm Dave Volante, and you're watching the Cube? >>Yeah, yeah, yeah.

[Music] from the cube studios in Palo Alto in Boston it's the cube covering the IBM think brought to you by IBM hi everybody we're back and this is Dave Valentine you're watching the cubes coverage of the IBM think 20/20 digital event experience lisa cisco is here she's the global head of go to market and IBM cloud at wit-pro Lisa good to see you thanks for coming on how you doing you're welcome how things holding up down in Florida you guys staying safe good working from home like like most of us everyone's doing good so I want to ask you don't go right to it talk about digital transformation and I want to get your take and maybe share some thoughts that we've heard from clients but digital transformation you're kind of in the heart of it you've got cloud you do and work with cognitive and AI and and blockchain and and the like so what are you seeing in terms of how clients are adopting this notion this digital transformation journey and how has kovat affected that great question so the hopefully the digital transformation won't always be about Kovan but there always will be a need for companies to move quickly and adopt new technologies and do things that are unexpected whether that's from an acquisition or an unexpected competitive move or new market that they want to be in so any of those things and affect businesses and what we're seeing right now is businesses who have adopted digital technology and by extension adopted cloud as the backbone to that digital technology have been able to move faster in this environment they're able to do things like work from home they're able to ensure security is in place they're able to give their employees and their customers access to information in a faster and more cost-effective way and so we're really not excited to have coated but we're really it's an interesting time to be looking at digital technologies and first mover advantages here and the digital Tudo era is all about enabling business responsiveness and those are the things that we're doing with the technology plays that we're working on today yeah I mean the customers we've talked to the the CIOs the CISOs they've said in many hard-hit industries hey we basically has shut down spending with some exceptions digital transformation being one of them you've got experience in two areas that are being affected pretty dramatically by kovat want a supply chain on the other is e-commerce you know supply chains are just you know especially for a while we're just in shambles or seeming to come back you know a little bit but what have you seen from the supply chain and what do you think what kind of changes do you expect are gonna be affected by koban going forward so again this was an area that if you had invested in your supply chain and you have automated some of those processes you're having an easier time onboarding your suppliers and knowing where your shipments are and understanding what your forward-looking position is going to be if you haven't done those things um even though your IT budgets might be being slashed they're things that you have to do right now and so doing some of those things using supply chain automation on the cloud it's it's um it's the right way for companies to go right now that find themself in a predicament and maybe aren't as prepared as they'd like to be so some of the technologies that we're helping bring to market we've we're seeing results with with things like five times faster adoption and 40% more cost efficient than if they weren't trying to do these things in an automated way using the cloud and so for companies that that need help doing this iBM has some of the best supply chain solutions in the market and and Wipro certainly has years of experience bringing those turquoise and then e-commerce is the other one I mean obviously there's been an explosion nobody wants to go out if they don't have to we're ordering anything and everything online there's been a kind of similar situation right if you if you had your kind of e-commerce you know we have you been running water through the pipes and you've perfected that over the last you know a couple of years or part of a decade then you're in pretty good shape but what are you seeing there with if you didn't have a loyal customer base now the time to really get used to interacting with your customers in that way so restaurants for example think the local mom-and-pop shops I live in a small town outside of Orlando and I'm seeing little businesses get online and and sew clothing and wine and things that they wouldn't normally see and dabbling in e-commerce so it's it's really comfortable for most people now to buy things online and we're seeing services that you wouldn't normally be be having online things like education k12 all allerjies everything can be pretty much bought on-line these days or consumed in a digital format and so I think again customers that have experience in doing this are ahead of the curve and customers that don't are going to quickly find that they have too I want to turn our attention to in the conversation to cloud and get your perspectives I mean I've reported a number of times that you know the IBM cloud it's not it's not an infrastructure as a service and the race to the bottom obviously IBM offers infrastructure of service but IBM strategy is not to try to take AWS head-on and you know storage cost per bit it's really to bring value through its software estate and portfolio and help its customers really take advantage of that the cloud model how are you and your clients taking advantage of the IBM cloud what kind of solutions do you have that are that are specific that leverage the IBM cloud that's correct we have two solutions that we're working on building out with with IBM and leveraging hybrid clouds so for an environment where 94% of enterprises have multiple clouds now they all have a combination of AWS or Azure or private clouds or IBM cloud and 73% of our clients see the ability to move between those clouds as a high priority and we are addressing that with two main solutions that we've built out at with row one is called our boundary list enterprise solution and you can think of that as the infrastructure and the knowledge we've taken the knowledge from thousands of successful hybrid cloud migrations that we've done and we've built it into this framework to help our customers be able to have a single dashboard and manage their view across hybrid cloud in an automated way and be able to be nimble and move between those clouds as business requirements it demand that they do and so that's the boundary-less Enterprise side the other side that we're working on with IBM is the application and integration modernization and we have a solution that we call moderniser and that is using some of the IBM technologies some third-party technologies and again the with our knowledge from our successful engagement and making it so that we can easily see what the workload is going to be to contain a rise and a single integration methodology that we're going to be bringing to our clients to help them be able to do this in a in an automated in a better way a faster way a more economical way so those are the two things that we're working on now and some of IBM's products are under the covers things like multiple cloud manager some of their DevOps and automation tools and there's some some tools again from third parties in firmware that we've brought in there as well so the boundary let's enterprise them in the idea there is that you've got a layer that allows you to go across clouds and have the same experience whether you're on pram whether you're in an Amazon Cloud and IBM cloud as you're wherever is that correct and it's a single sort of cloud experience single dashboard you know glass that you can look and you can serve you know in an IT environment your constituents the best way possible so that you're not locked into any cloud vendor and you can take advantage of where your workloads need to go and the modernization piece the modernized moderniser you talk about how clients are approaching it where do they start when they modernize their applicants that they do kind of and you help them do an application portfolio assessment they identify the high value workloads in their portfolio maybe the ones that they're going to sunset is a rationalization exercise the first step may be to talk about that every client is different but if the plant was to approach us and recommend the best practice we actually have a free two-week consulting engagement that we use for our clients that take a look at the workloads that they have and potentially will want to move to good we help them organize those workloads and figure out what the low-hanging fruit will be the things that will take a little bit more time on the things that are going to give them the highest bang for the buck and we will make some recommendations to them and that that two-week engagement about how to get started what about the I wanna shift gears talk about the you guys done in India with the Novus lab what is that all about what kind of expertise is there how does how two clients take advantage of that so we in IBM and out of the first soon-to-be announced we've just built it and we're soon to launch the I began with pro nobis loan you know this is the latin word from new or for innovation and that's what we plan to be doing in this lounge together so we have we pro talent and 150 seats where we'll have clients and different experts coming in and in residing in that center as well as access to all of the products i just talked about we'll be working closely with the IBM on GSI labs and bringing in new technologies building out new solutions so everything from taking supply chain to the next step to adding additional industry solutions one of the first things that we're going to do in that IBM Davis line just take advantage of the new IBM finance services cloud which is going to be a covering cloud focused at that industry and we're really excited to get started working on that technology to bring in our clients so ok so that's a that's an example of an industry solution and it's what it's it's optimized or for for banking and financial services or explain that if you would that's correct so iBM has worked with their clients in the financial services industry and they have packaged some of the governance and security and regulations that are needed for the financial services industry and they've put that into a solution that they'll be rolling out shortly I'm sure you'll hear more about it at IBM thing and that solution is going to be based on the industry guidelines by country on rolling out in the US and then shortly to Europe and we're going to be able to use that to jumpstart a lot of the workloads that we want to bring to our financial services clients without having to make them reinvent the wheel or all of the governance and security and regulatory things that they need well I can see you guys doing this across multiple industries kind of an out of the box you know tune something for retail government financial services Manufacturing healthcare where you've got the the requisite of security and compliance edicts depending on where you are in the world if it's a global organization you're able to you know identify what those local laws are maybe there's certain analytics capabilities and dashboards that you'd include is that is that kind of the right way to think about this that's exactly where we're headed and we're already starting to talk about healthcare as the next industry where we tackling after the services yeah well I mean the healthcare is that there are so heads down right now yeah believe you know we could think they'd come out of this and take a take a little breather and then can really you know get back to some of the more strategic things that they want to do in the industry I'll leave you with the last word kind of where you see the IBM Wipro partnership going you know what's your vision for that we really like IBM's approach in terms of avoiding vendor lock-in but we love what's happened with the acquisition of Red Hat and being able to use that technology more easily in our solutions we think that the industry approach is the right approach all of those things will have our focus in the noon double Ange this year and so while things are unusual in this current environment and we have a lot of things that we have to do immediately to help our clients just be able to survive we're very much looking to the future and what we can bring when this is all over that will help our clients make sure that they're ready for whatever the next Rose might be well Lisa thanks very much for coming on the cube you got a deep experience appreciate you sharing that with our with our audience they say you're welcome and thank you for watching everybody this is Dave Volante for the cube and our continuing coverage wall-to-wall coverage of IBM think 2020 the digital event experience you watch in the cube we were right back right after this short break [Music] you