(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)

(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

>>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

>> live from Las Vegas. It's the queue covering del Technologies. World twenty nineteen, brought to you by Del Technologies and its ecosystem partners. >> Hello. Welcome back to the Cube. At least a market with Dave Alonso. We are at Del Technologies World. This is our third day of coverage. As John has been saying, This is a cannon double cannon of Q content. We are pleased to welcome back a couple of alumni to keep. We've got Beth failing Presidents data Protection division from Italians. It's great to have you back. And Sherrod Rastogi also welcome back S VP of data protection product management Guys, Lots of news. The last three days, fifteen thousand or so people. Lot of partners. We've been hearing nothing but tremendous amount of positivity and also appreciation from your customers and partners for all of this collaboration within the Della Technologies company with partners. Some of the news, though, that you were on the keynote stage give us some anecdotes that you've heard from customers and partners the last few days about where Del Technologies is going. >> Yeah, I'm happy too. And you know, a big announcements this week. We're a power protect software and the power protect extra hundred appliance. And what we're hearing from customers is this is exactly what we needed to do because the demands on data protection are changing with more more. Brooke look being distributed with data being more more important and with the risks being more more prevalent that they were looking for us to take a bold step and introduce this next generation software to find platform. And so the feedback you're getting is you've done what you needed to do, and they're looking forward to learning more. >> So I wonder if we could sort of explore a little bit this concept of data management. So data management lead needs different things to different people. Sure, if your database person maybe maybe different from a person who's doing data protection, what does it mean in a data protection context? I think >> first of all, you know, having visibility off your data all across your infrastructure that resides in the edge. The court a cloud across multiple applications in physical virtual environments, right? So having full facility that I think is one component second is not the ability to move the data across seamlessly across any socially target but it is on track in the cloud. Robert Cloud. I think that sort of a second element, the third and probably the most important is how do you actually get value from the data, right? Already, Actually, not only unable to protect it, but make it available at the right time, right place for the right application and be able to use it because, as you know, data is the fuel of the modern visual economy. On making it available is really, really critical. And that to me. So you're combining all of that is what I would consider it at management to be. >> So double click on that. I mean, could you be more specific about the attributes of, you know, a modern data management system? So I >> would say, you know, any modern technology may be modular FBI driven, you know, it really sort of the automate scale performance coverage. All those attributes, I think are very important for any more than data protection product and be able to meet the needs of our customers. You know, high scale hi coverage and rapidly, >> and that gives you a cloud like experience presumably allows you to scale out many a performance. I've seen some of the conversations that start associating with that or scale in place Bath. You talked about that? Yeah, Well, yeah. I want to explore a little bit about your business because you know who knew? Who would have predicted a few years ago? The data protection would always because all of a sudden become this hot space veces diving in hundreds and hundreds of millions of dollars being spent. And of course, you're the biggest player. So everybody wants a piece of your hide. And so and you got a portfolio. It goes back up llegado days. They have amar stuff data, domaine et cetera, et cetera. She had a sort of make sure that that was logical for your customers. Protect those customers that have made investment of you, but also shoma roadmap. Jeff Clark comes in, says, Okay, we're going to simplify, you know, marching orders. Your business in a very rapid time has transformed. Can you talk about that? What's what's taking place in your business? >> Absolutely, David, it's so interesting even comparing last year to this year, right? We're at this pivot point where we're building on the legacy of Trust and I T and knowledge and experience that we have. But we're now setting the foundation to be number one and data protection and data management for the next ten years. Introducing this new set of products were able to bring a customer's forward. We call it the path to power. So in addition to that, bring new customers into the family. We're looking for all those aspects of modern day to management, with simplicity, with multi cloud, with automation and with the new use cases where it's more than just back up. It's CCD are its analytics. It's testing toe. It's validation. So this is whole spectrum of things that we can expand into now that we have this new platform. It's really exciting. >> It is exciting. And yesterday the under Armour video was very cool, and one of the things that they set in there is that there they're leveraging data for brand reputation. I mean, they've got under Armour has incredible brand ambassadors Tom Brady, Steph Curry. But looking at it as not just a business ever. But this is actually tied to our brand reputation, did. It is so incredibly pivotal to the lifeblood of a business. It has to be protected. >> Yeah, and that's a big theme. And you probably something too. But, you know, in this day and time data is no longer something that maybe people in I'd worry about write It is now the lifeblood of most of our customers, corporations and at the same time list, like the threat of malware are very prevalent. And so things like what we've done with cyber recovery always were working with our customers to protect their data. In a survey we just did. With twenty two hundred I t professionals, twenty eight percent of them had had some data loss in the last twelve months. So the risk of data loss is real. And we take our responsibility very seriously to help our customers protect from that risk. >> So I like this message to any source. Any target, any s l a. I would I would had any workload and because on so talk about you're differentiation in the marketplace, that would be great, because it's hard sometimes, you know, squint through all the marketing. And so what makes you guys different specifically thinking >> about Delhi emcee Indiana production historically has its strength in dealing with complex work clothes at high scale, with high performance on having a wide coverage of work has been a strength and actually had very low cost, very efficient, right? So that string we sort of carry on into the future. And what we're adding on is I would say that the next degree off simplification and ease off ease off, install, upgrade use. Making those work was very, very simple, right? So I think that's another dimension. We are God. We're adding our dimension, what we call multi dimensional scale, which is both scale up and scale out the same time when you actually add more notes and more cubes, you are not only capacity, but he also improved performance, right? That's it, architecturally, a fundamentally different way in Harvey approach it. So I think that's an element of innovation, and I think on performance we're introducing our first all flash off Lions industry first, So we're super excited about that. And so I think it just helped our customers in terms of restore interactions store Do those work was a lot faster. Those are some other elements in which we continue innovating. >> That's great. Yeah, so you talk about the power protect X four hundred, which is your flesh. John Rose said something on stage. Beth, I want to ask you, Teo, sort of add some color. Hey, said this is not just secondary storage. It's protected. Managed infrastructure, >> huh? That's great face. >> What? What did he mean by that? And what should we take away? >> I mean, it shows how we're broadening the use cases that these products can help satisfy. And so much of what we're talking about Del Technologies is a simplified infrastructure across the board, not thinking about just point products, but giving the customer that experience of a seamless extendable infrastructure. So protected managed infrastructure means that your infrastructure, something you have, can confidence it's protected and that you also are not just dealing with all of these pieces and parts. But I can think of it has a managed whole. I think that that helps out and talk to John about that. But that's what I take away from what he's saying. >> If I can just add to that, I would say Like, you know, data management is sort of the perfect glue across the whole del technology infrastructure, but a server storage bm We're, you know, eighty, you know, infrastructure pivotal, right? Data management data productions are off, cuts across everything, and we can bring everything together. So >> I would like to add something to that if I make it. You know Beth on sure Art as well. Data protection Backup was always OK. We gotta back it up. Who's gonna? Okay, Bump bolted on. And what's happening is the lines are blurring. Primary storage, secondary storage. You're seeing back up in the e r. Use cases. You talked about analytics and, you know, so many new emerging. That's why it is so exciting. And so because those lines are blurring, you get more value out of the system. It goes beyond just insurance. And that means this could be a lot of money being made here >> if there is. And it is also a really important need, write one thing that we haven't touched on. But I also think it's really important is with our protect we're helping combine self service with centralized governance. So what I mean by that is, if you're a V a madman or Oracle Adnan or a sequel admin, you know, you could have control over protecting your data, but we pair that with a single, you know, governance model. So if I'm the person is responsible for my company's entire, you know, data set, I can still make sure that everything's happening is it should be. And there are no anomalies, so we're really making it as easy as possible, for the business is within our customers to protect and manage their data but not making it the Wild West. Because somebody in the end is accountable for saying I know where all the data is, and I know it's protected, so it's having both of those users. >> So as data protection has really elevated, the stay was saying to become its way beyond an insurance policy. This is absolutely table stakes because data has so much value and so much value that organisations haven't even been able to extract it right, how the conversation within the customer base changed. It's not just to the admin girl or guy anymore. Rightness is Are you saying this really leveled up Tio? Maybe a senior level C level challenge as our business imperative that the state of must be protected and readily accessible at any time. Who are you talking to? >> So answer quickly that I lied to you when we're talking to the eye to decision makers. So seo no, that level data protection strategy has become something that they have in their priority list, right? It's not really in any way what it was maybe five or ten years ago. Now it's something that there's cord of what they hold as their responsibilities, executives and and that's great. It's great to have those kind of conversations because it's strategic. >> Another conversation. Just an example from yesterday, while speaking with one of the chief architects at a major company, they're really talking about cyber security on How do you use Extend? You know what we offer into a full solution across their technology. Do address, you know, doesn't use case right. So I think it's expanding beyond just back up and protection to true protection off the data. Very most mission critical data is available and not just protected. They also want to talk about how can you recover that real quickly in very quick time, so that your operation, when you do have that cyber, if and when you have that attack So I think it's just expanding toe touch. A lot more customers, I would say Our people buying, buying decision makers across >> so that when I talk to people in division I sense a renewed energy. A renewed focus. I mean, GMC before Del. Tell'Em Steve always been really good. Taking engineering resource is to getting products out to the market. But But I I see again more focused effort here and one of the exam to keep pushing on. Is this notion of cloud model so beyond? Just okay, there's a target. How do we now get to that? You know, data protection is a service small. I know that you're working toward that. I know it's, you know, a lot of it's It's early days there, but you've got to be a leader in that, I presume. So. I want to keep watching that pushing that I won if you guys could comment on what coming >> on, both things that you said. First of all, there's absolutely a level of excitement and focus and confidence in what we're doing in the product groups. I'm really changing the way we're developing software so that we have a new customer value coming out every quarter. And they were having clarity between the top level strategies. White downs, what individual engineers are working on. So that's fun and excited because we're truly transforming the way we're developing Product says point one. And the second one, absolutely here, that theme throughout all of what we're talking about. You heard a nun day one, No, giving people that cloud that experience infrastructure has a service which certainly includes data management and data protection so they can consume it in a way that fit step business that scales with business That's automated, that doesn't require, you know, massive manual steps and is more what people expect today was a cloud like experience, even for them on from data centers. Clearly, that's where we're moving. And this one more point is you know, people really want automation they don't wanna have to think about. Did I remember to protect everything? They want the system to do that for them. So you'LL see more of that from us as well. You know how we helping them with machine learning? An A I an automation so they can have confidence that all of the assets are protected even if they haven't remember to do it all. >> I mean, I just add to it. I've bean at Delhi emcee for about a year. >> It >> has been a fantastic journey waiting. It's exciting. It's been awesome. Awesome experience. I totally see the >> focus. And I think that renewed focus the cloud like a model and the innovation. They all go hand in hand because the old waterfall model of okay, we're gonna develop properties shipment every year, eighteen months. Whatever it is that doesn't fly anymore. People want innovations, and now they want to push code every day. Right? So our baby, every quarter at least. >> Yeah. Yeah. Facing new energy to the engineers as well. >> So I mean, I understand that many of your team, if not your entire engineering team, has been trained in agile. Is that my getting it right? Is that right? >> Yeah, yeah, >> not just not just like internal train. You guys brought in outside people and really took him through some formal training. Right >> way have in multiple different kinds of training. And we have lots of communications inside to get people coaching. And it's not just a process book that we're following its really a different way of thinking about how you bring customer value in small increments, staying in a good known stay and making sure that we're maximizing our engineering capacity. >> That's big. And I wish we had more time cause that's cultural train. Yeah, yeah, that you guys are really driving. And we also didn't have time to touch on partners, but it can imagine there's a lot of excitement and your huge partner community about what you guys are doing This. Congratulations on all the announcement is gonna have to have you back because there's just so much more to dig into. But back Sherrod, Thank you for joining David me this afternoon on the you go. >> Thank you so much >> for our pleasure. For Dave Volonte and Lisa Martin. You're watching the Cube live from Day three of Del Technologies, World twenty nineteen on the Cube. Thanks for watching

>> Announcer: Live from Las Vegas, it's theCUBE, covering Dell Technologies World 2018. Brought to you by Dell EMC and it's ecosystem partners. >> Welcome back to Las Vegas everybody. You're watching theCUBE, the leader in live tech coverage and this is day three of our coverage of the inaugural Dell Technologies World. We're in the home stretch. Stu Miniman and Dave Vellante joining you, with Alison Dew, the newly minted CMO of Dell. Great to see you, thanks for coming on. >> Thanks for having me, good to be here. >> So, you've been with Dell for a long time. >> 10 years >> You know the drill, you know the culture. But, 23 days as CMO? >> Yes >> Well congratulations. You were on stage today, awesome show. >> Thank you, I couldn't be more delighted. Great experience for me personally. Great show for our customers. >> Yeah, I'll bet. I mean, and you brought in some outside speakers this year, which has not been typical of this show, at least the legacy EMC world, and certainly Dell World did that. >> Stu: Dell World did, definitely. >> Alison: Dell World did do it more, you know. >> Yep, Bill Clinton, we saw some other amazing speakers. >> Elon Musk >> Elon Musk, I remember the year Elon came. >> So that's good, and you got to interview Ashton Kutcher >> Yeah >> Which was quite amazing. He's an unbelievable-- people don't know, he's an investor, he's kind of a geek. >> Alison: Yep >> Even though he's, you know >> An engineer by training? >> Right, so what'd you think of his discussion? >> I mean, I thought it was fantastic and, as you said, I think people don't quite realize how involved in technology he actually is. And also, how well and successful his businesses have been. And then, equally important, the work that he's doing with his foundation and the way he's using technology for really important human causes. I don't think he gets enough credit for that, so it was great to sit on stage and have that conversation. It was super fun. >> Yeah, cause we know him from That 70's Show. >> I know, I like That 70's Show. >> And he's a goofball, and he comes across He's a great actor, lot of fun. >> Yeah, there was one of the lines I actually really loved from the presentation. It's that he looks for companies that have counter-intuitive thesis because if you're doing something that everybody else is, then chances are somebody is going to catch you and everything else like that. You also had to talk about geeks. You know, John Rose and Ray O'Farrell, up there. Share a little bit about some commonalities you saw between these speakers, and some of the unconventional things they're doing. >> So, I completely agree. I love the point of talking, there's so much hype in the space. And that's why I think that line is so important. And so, the big commonality that we're really seeing and talking about this year in particular is we've been talking for years about data as the rocket fuel of the economy and of business transformation, and now we're really talking about data combined with those emerging technologies. So, things like AI, IOT, Blockchain, which are really taking that data and unlocking the business value because for years, there's been this hype about big data, but I don't think the reality has quite been there. And now as those technologies catch up, we're really starting to see some practical applications and use cases and that's why I thought, in particular, John Rose's section on AI and how we're seeing some of those really emerging practical applications was so interesting and fun and tied really well to Ashton's talk track. >> You know, that's a good point. I mean, I feel like we started covering the big data trend really early on. And I feel like big data was like the warm up. It's cheaper now to collect all this data. Now that we have all this data, we're going to apply machine intelligence to that data. We're going to scale it, with cloud economics and that's really what's going to drive value and innovation. What are your thoughts on that? >> Absolutely. We talked this morning on the stage even about some of the companies, large and small, who are really doing that. I think one of the examples that's really interesting Wal-Mart using Blockchain technology to decrease the amount of time from seven days to mere seconds that it takes them to identify the source of food contamination. Really interesting things where, a couple of years ago even, frankly even 18, 20 months ago, that would have been a promise, but maybe not a reality. And so that's what I think is really exciting. Finally. >> It's something that's actually resonated with me this week. We've talked for my entire career, there's the journeys. And it was like, a lot of times it's the journey of the technology. A couple of years ago, digital transformation was "Okay, is it real? Isn't it?" Every customer I talk to, they understand making it real as you said in the keynote, where they're going. What kind of feedback are you getting from people at the show? >> So one of the things I talked about briefly on Monday, but I think is really important, is this promise and the hope and the optimism of digital transformation. And yet also, the fear behind it as well. Through some of the work that we've done in our own research for Realizing 2030, we're really seeing that about 50% of our respondents say they believe in the power of the human machine partnership, which means that 50% don't. And all of the data questions are really divided and polarizing like that. And as a lifelong researcher, that's really interesting to me because it says that there's something going on there. And yet, at the same time, we're seeing over 85% of the respondents that we talk to who say they're committed to becoming a software defined company in five years. So this idea of "I know what I want to do "I know what it means to transform an industry, "And yet, I'm still not really sure that's going to "do me or my business good. "I'm not really sure what that means for "myself or my employees, getting really practical. "Obviously about the technologies, "that's what we do, "but the examples of how people can do "that better from a business perspective." That's a lot of the customer conversation that I've had over this week. >> But you're an optimist. You believe the world would be a better place as a result of machines. >> Yes, I do and we do. Are you an optimist? >> I am, I think there's some obviously some challenges but there's no question. Stu and I talk about this all the time, on theCUBE, that machines have always replaced humans throughout history. For the first time now, it's on cognitive functions, but the gap is creativity and eduction. So I am an optimist if we invest in the right places and I think there's an opportunity for public policy to really get involved. Leadership from companies like yours and others, politicians, of course. >> Dave and I did an event a couple of years ago with Andy McAfee and Erik Brynjolfssono, you had Andy here. Cause it's really it's not just the technology, it's technology and people, and those have to go together. And Dave said, there's policy and there's so many different layers of this that have to go into it. >> And I think we're just starting to really enter into that. On that optimist versus the robots are coming to get us spectrum, obviously there are things that we have to look out for as leaders, as society, as businesses. And yet, even if you look at the example from this morning, where Ashton is talking about minimizing child sexual trafficking and using AI and machine learning to one, arrest many of the perpetrators of these crimes, as well as free thousands of children from sexual slavery. I mean, you hear those examples, and it's hard not to be an optimist. >> I want to ask you about your digital transformation and how that's being led inside of Dell, what it means to you. >> So, obviously, we are two huge companies that came together. So when we talk about digital transformation, and what that really means, have a very different way of operating and working with IT and being in a different business model, we know that really well. One of the things that's really interesting for me personally, as the CMO for 23 days, is one of the biggest line items in my budget is actually for our own marketing digital transformation. Obviously, Dell in particular, had many, many years starting in the consumer and small business, and then growing up to larger businesses, of direct marketing. And we have a great relationship with our customers, but we also have all of these legacy systems and processes and way that work is done and now as we come together with EMC and we start to build Dell Technologies, the idea of what a data driven marketing engine can be, that possibility is something that we're also working to build ourselves. And so, everything from "how do we build our "own data lake to actually bring all "of these sources of data together? "How do we clean up that data?" is something that I'm pretty deeply into myself. There's a lot of that work going on across the company, and then for me personally, as CMO. Big initiative. >> So it's customer experience as part of it, but it's also a new way to work. >> Exactly. And it sounds so trite in a way to say the technology is the easy part, but the really hard part begins when the technology is finished. And I really believe that because if I look at my own team and my own teams experience, there's so many places where they've been doing marketing one way for a very long time. And if you come in and you ask them to do something differently, that's actually a pretty hard thing to do. And the only way to unlock the power of the data and the power of the new technologies, is to actually change how work is done. And I know it's an analogy that's overused, but if you'd ask the taxi dispatch "Are you important to the taxi business?" they would have said "Yes, of course "I'm the most important person in this chain." That's how taxis get to customers. And then along comes Uber, and suddenly you don't need that. You have to really think differently about that and as a leader, that's exciting and also really hard. >> I don't know if you've ever heard Sanjay Poonen talk about change, he says there's three reactions to change. Either run from it, fight it, or you embrace it. That's it. And the third is the only way to go. >> It's the only way. >> How about messaging? I'm sensing different messaging. Much more around the business, maybe a little bit less on the products. Plenty of product stuff here, but the high level stuff. What's your philosophy on messaging? >> I used to say "I'm a person that "believes in shades of gray" and about seven years ago I had to stop saying that. (laughs) >> But the truth is, I am a person who believes in shades of gray and I almost always believe that the answer is somewhere in the middle. So you get in marketing into these debates about is it these thought leadership and high level conversations or is it about product messaging and selling what's on the truck? And the honest truth is, you have to do both. You have to set a vision, you have to build the brand, you have to talk about the business and where we're going from a business perspective. As we talk about things like 2030, that's a really lean into the future conversation. At the same time, we also want to sell you some PCs and some servers and some storage and some data protection, so we need to do that well, too. And frankly, we need to get better as a marketing machine, as a company, and as salespeople, in terms of talking to customers. The right conversation at the right time. Again, sounds like marketing 101, but it's actually quite hard to do. When do you want to have a connected cities conversation? When do you want to just talk about how to modernize your data center? >> It's true, we always talk about above the line and below the line. When you're talking above the line, you might be speaking one language and below the line, another language. You try to mix the two, it doesn't work. >> Right, exactly. >> You have to target the appropriate audience. >> The conversation one of the women on my team started talking about this and I thought it really made sense was macro-conversations, micro-conversations. So to get out of this advertising vernacular, and I grew up in the ad industry, sort of above the line, below the line, and those were always two departments who didn't even talk to each other and usually hated each other. Instead of above the line, below the line, what's the macro-conversation? How are we talking about Realizing 2030? How are we talking about digital transformation? And then what are some of those micro-conversations where I'm going to talk to you about what are the personas that you have in your work force? And lets talk about some in user compute technology together with something really simple, like a monitor, that's going to help them be more productive. Those things don't have to fight with each other, you just have to be honest about when you're doing each one. >> Target them in the right place. >> Alison, we're getting to the end of the show here. >> Yeah, I can talk a lot. >> First of all, New Media Row here gave us the biggest set. We've done this show for nine years, we're super excited. The therapy dogs next door-- >> I love the therapy dogs. >> Are really fun to see, but every once in a while, give a little bit of color in the background here. For people that didn't get to come and experience in person, I know the sessions are online, but give us some of the flavors and some of the fun things you've seen and what would we expect from you in the future? >> I think this is just one of the most fun shows. I mean, obviously it's important for us to set our vision, it's important for people to come into the hands on labs, and the training, and the breakouts, and to learn and to engage. But, you see things like the beanbags and sitting out there, the therapy dogs, and my team does want me to say that every year we get new beanbag covers so we don't recycle those. And then really experience the fun in the Solutions Expo and talking about the way that we're taking trash, plastic trash, out of oceans and making art with it, so we can talk about our sustainable supply chain in an interesting way. I think, I'm biased, but I think this is the best show in terms of actual education and vision, but also some fun. Hopefully you guys think so too. >> Well, Sting. >> And Walk the Moon. Do you guys know who Walk the Moon is? >> Yes. >> I don't. >> Me neither. (laughs) >> Come on and dance with me. >> Oh, okay. Alright, great. >> I'm a child of the 80's, what can I say? >> Alright, so 23 days on the job, what should we be watching from you, your team, and Dell? >> So, as we talked about in the very beginning, this is our first Dell Technologies World, so obviously, we have just gone through some of the biggest integration of large tech companies in the history. And we're really proud of how successful that integration has been, and yet we also still have so much work to do around telling that integrated story. Yes, Dell and Dell EMC, but also together with VM, we're a pivotal RSA Secureworks, and the extend is strategically aligned businesses. And so that's what you'll see us really lean into is "How do we tell "that story more effectively?" We're continuing to invest in the brand, so a lot of the work that you've seen with Jeffrey Wright and those TV spots we launched again in March, and just making sure that people understand what the Dell Technologies family actually is. >> So really a more integrated story. But something that Dell always tried to tell, but you didn't have the portfolio to tell it. Now you do, so that's got to be exciting for you. >> It is exciting, yeah. >> Great. Alison, thanks so much for coming on theCUBE. It was great to have you. >> My pleasure. Cheers, thanks. >> Alright, keep it right there, buddy. We'll be back with our next guest. You're watching theCUBE live from Dell Technologies World in Vegas. We'll be right back.