(gentle upbeat music) >> Announcer: theCUBE's live coverage is made possible by funding from Dell Technologies. Creating technologies that drive human progress. (bright upbeat music) >> We're back in Barcelona at the Fira. My name is Dave Vellante. I'm here with David Nicholson. We're live at MWC23, day four of the coverage. The show is still rocking. You walk the floor, it's jamming. People are lined up to get in the copter, in the right. It's amazing. Planes, trains, automobiles, digitization of analog businesses. We're going to talk private wireless here with Dell. Sarvesh Sharma, the Global Director for Edge and Private Mobility Solutions practice at Dell. And John McCready is a Senior Director for 5G Solutions and product management at Dell Technologies. Guys, good to see you. >> Likewise, likewise. >> Good to see you too. >> Private wireless. It's the buzz of the show. Everybody's talking about it. What's Dell's point of view on that? >> So Dell is, obviously, interested entering the private wireless game, as it's a good part of the overall enterprise IT space. As you move more and more into the different things. What we announced here, is sort of our initial partnerships with some key players like Airspan and expedo and AlphaNet. Players that are important in the space. Dell's going to provide an overall system integration solution wrap along with our Edge BU as well. And we think that we can bring really good solutions to our enterprise customers. >> Okay, I got to ask you about AlphaNet. So HPE pulled a little judo move they waited till you announced your partnership and then they bought the company. What, you know, what's your opinion on that? You going to, you going to dump AlphaNet, you're going to keep 'em? >> No. >> We're open Ecosystem. >> Yeah, it's an open ecosystem. We announce these are our initial partners, you know we're going to announce additional partners that was always the case. You know, there's a lot of good players in this space that bring different pros and cons. We got to be able to match the solution requirements of all our customers. And so we'll continue to partner with them and with others. >> Good, good answer, I like that. So some of these solutions are sort of out of the box, others require more integration. Can you talk about your, the spectrum of your portfolio? >> So I'm glad you brought up the integration part, right? I mean, if you look at private wireless, private mobility it is not a sell by itself. At the end of the day what the enterprise wants is not just private mobility. They're looking for an outcome. Which means from an integration perspective, you need somebody who can integrate the infrastructure stack. But that's not enough. You need somebody who can bring in the application stack to play and integrate that application stack with the enterprises IT OT. And that's not enough. You need somebody to put those together. And Dell is ideally suited to do all of this, right? We have strong partners that can bring the infrastructure stack to play. We have a proven track record of managing the IT and the enterprise stack. So we are very excited to say, "Hey, this is the sweet spot for us. And if there was a right to win the edge, we have it." >> Can you explain, I mean, people might be saying, well, why do I even need private wireless? I got Wi-Fi. I know it's kind of a dumb question for people who are in the business, but explain to folks in the audience who may not understand the intersection of the two. >> So, yeah, so I think, you know, wireless is a great techno- pardon me, Wi-Fi is a great technology for taking your laptop to the conference room. You know, it's effectively wireless LAN Where private 5G and before that private LTE had come into play is where there's a number of attributes of your application, what you're using it for, for which Wi-Fi is not as well suited. And so, you know, that plays out in different verticals in different ways. Either maybe you need a much higher capacity than Wi-Fi, better security than Wi-Fi, wider coverage like outdoor, and in many cases a more predictable reliability. So cellular is just a different way of handling the wireless interface that provides those attributes. So, you know, I think at the beginning, the first several years, you know Wi-Fi and 5G are going to live side by side in the enterprise for their different roles. How that plays out in the long term? We'll see how they each evolve. >> But I think anybody can relate to that. I mean, Wi-Fi's fine, you know, we have our issues with Wi-Fi. I'm having a lot of issues with Wi-Fi this week, but generally speaking, it works just fine. It's ubiquitous, it's cheap, okay. But I would not want to run my factory on it and rely on it for my robots that are shipping products, right? So that really is kind of the difference. It's really an industry 4.0 type. >> Yeah, exactly. So I mean, manufacturing's an important vertical, but things of energy and mining and things like that they're all outdoor, right? So you actually need the scale that comes, with a higher power technology, and even, you know just basic things like running cameras in a retail store and using AI to watch for certain things. You get a much better latency performance on private 5G and therefore are able to run more sophisticated applications. >> So I could be doing realtime inference. I can imagine Dave, I got an arm processor I'm doing some realtime inference AI at the Edge. You know, you need something like 5G to be able to do that, you can't be doing that over Wi-Fi. >> Yeah >> You nailed it. I mean that's exactly the difference, right? I mean if you look at Wi-Fi, it grow out from a IT enabled mode, right? You got to replace an ethernet. It was an IT extension. A LAN extension. Cellular came up from the mode of, "Hey, when I have that call, I need for it to be consistent and I need for it to be always available," right? So it's a different way of looking at it. Not to say one is better, the other is not better. It's just a different philosophy behind the technologies and they're going to coexist because they meet diverse needs. >> Now you have operators who embrace the idea of 5G obviously, and even private 5G. But the sort of next hurdle to overcome for some, is the idea of open standards. What does the landscape look like right now in terms of those conversations? Are you still having to push people over that hump, to get them beyond the legacy of proprietary closed stacks? >> Yeah, so I think I look, there are still people who are advocating that. And I think in the carrier's core networks it's going to take a little longer their main, you know macro networks that they serve the general public. In the private network though, the opportunity to use open standard and open technology is really strong because that's how you bring the innovation. And that's what we need in order to be able to solve all these different business problems. You know, the problems in retail, and healthcare and energy, they're different. And so you need to be able to use this open stack and be able to bring different elements of technology and blend it together in order to serve it. Otherwise we won't serve it. We'll all fail. So that's why I think it's going to have a quicker path in private. >> And the only thing to add to that is if you look at private 5G and the deployment of private LTE or private 5G, right? There is no real technology debt that you carry. So it's easy for us to say, "Hey, the operators are not listening, they're not going open." But hey, they have a technical debt, they have 2G, 3G, 4G, 5G, systems, right? >> Interviewer: Sure. >> But the reason we are so excited about private 5G and private 4G, is right off the bat when we go into an enterprise space, we can go open. >> So what exactly is Dell's role here? How do you see, obviously you make hardware and you have solutions, but you got to open ecosystems. You got, you know, you got labs, what do you see your role in the ecosystem? Kind of a disruptor here in this, when I walk around this show. >> Well a disruptor, also a solution provider, and system integrator. You know, Sarvesh and I are part of the telecom practice. We have a big Edge practice in Dell as well. And so for this space around private 5G, we're really teamed up with our cohort in the Edge business unit. And think about this as, it's not just private 5G. It's what are you doing with it? That requires storage, it requires compute, it requires other applications. So Dell brings that entire package. There definitely are players who are just focused on the connectivity, but our view is, that's not enough. To ask the enterprise to integrate that all themself. I don't think that's going to work. You need to bring the connectivity and the application to storage compute the whole solution. >> Explain Telecom and and Edge. They're different but they're like cousins in the Dell organization. Where do you guys divide the two? >> You're saying within Dell? >> Yeah, within Dell. >> Yeah, so if you look at Dell, right? Telecom is one of our most newest business units. And the way it has formed is like we talk Edge all the time, right? It's not new. Edge has always been around. So our enterprise Edge has always been around. What has changed with 5G is now you can seamlessly move between the enterprise Edge and the telecom Edge. And for that happen you had to bring in a telecom systems business unit that can facilitate that evolution. The next evolution of seamless Edge that goes across from enterprise all the way into the telco and other places where Edge needs to be. >> Same question for the market, because I remember at Dell Tech World last year, I interviewed Lowe's and the discussion was about the Edge. >> John: Yep. >> What they're doing in their Edge locations. So that's Edge. That's cool. But then I had, I had another discussion with an agriculture firm. They had like the massive greenhouses and they were growing these awesome tomatoes. Well that was Edge too. It was actually further Edge. So I guess those are both Edge, right? >> Sarvesh: Yeah, yeah, yeah. >> Spectrum there, right? And then the telecom business, now you're saying is more closely aligned with that? >> Right. >> Depending on what you're trying to do. The appropriate place for the Edge is different. You, you nailed it exactly, right. So if you need wide area, low latency, the Edge being in the telecom network actually makes a lot of sense 'cause they can serve wide area low latency. If you're just doing your manufacturing plant or your logistics facility or your agricultural growing site, that's the Edge. So that's exactly right. And the tech, the reason why they're close cousins between telecom and that is, you're going to need some kind of connectivity, some kind of connectivity from that Edge, in order to execute whatever it's you're trying to do with your business. >> Nature's Fresh was the company. I couldn't think of Nature's Fresh. They're great. Keith awesome Cube guest. >> You mentioned this mix of Wi-Fi and 5G. I know it's impossible to predict with dates certain, you know, when this, how's this is going to develop. But can you imagine a scenario where at some point in time we don't think in terms of Wi-Fi because everything is essentially enabled by a SIM or am I missing a critical piece there, in terms of management of spectrum and the complicated governmental? >> Yeah, there is- >> Situation, am I missing something? It seems like a logical progression to me, but what am I missing? >> Well, there is something to be said about spectrum, right? If you look at Wi-Fi, as I said, the driver behind the technology is different. However, I fully agree with you that at some point in time, whether it's Wi-Fi behind, whether it's private 5G behind becomes a moot point. It's simply a matter of, where is my data being generated? What is the best technology for me to use to ingest that data so I can derive value out of that data. If it means Wi-Fi, so be it. If it means cellular, so be it. And if you look at cellular right? The biggest thing people talk about SIMs. Now if you look at 5G standard. In 5G standard, you have EAPTLS, which means there is a possibility that SIMs in the future go away for IoT devices. I'm not saying they need to go away for consumer devices, they probably need to be there. But who's to say going ahead for IoT devices, they all become SIM free. So at that point, whether you Wi-Fi or 5G doesn't matter. >> Yeah, by the way, on the spectrum side people are starting to think about the concept. You might have heard this NRU, new radio unlicensed. So it's running the Wi-Fi standard, but in the unlicensed bands like Wi-Fi. So, and then the last piece is of course you know, the cost, the reality it stays 5G still new technology, the endpoints, you know, what would go in your laptop or a sensor et cetera. Today that's more expensive than Wi-Fi. So we need to get the volume curve down a little bit for that to really hit every application. I would guess your vision is correct. >> David: Yep >> But who can predict? >> Yeah, so explain more about what the unlicensed piece means for organizations. What does that for everybody? >> That's more of a future thing. So you know, just- >> No, right, but let's put on our telescope. >> Okay, so it's true today that Wi-Fi traditionally runs in the bands that have been licensed by the government and it's a country by country thing, right? >> Dave: Right. >> What we did in the United States was CBRS, is different than what they've done in Germany where they took part of the Zurich C-band and gave it to the enterprises. The telco's not involved. And now that's been copied in Japan and Korea. So it's one of the complications unfortunately in the market. Is that you have this different approach by regulators in different countries. Wi-Fi, the unlicensed band is a nice global standard. So if you could run NR just as 5G, right? It's another name for 5G, run that in the unlicensed bands, then you solve the spectrum problem that Dave was asking about. >> Which means that the market really opens up and now. >> It would be a real enabler >> Innovation. >> Exactly. >> And the only thing I would add to that is, right, there are some enterprises who have the size and scale to kind of say, "Hey, I'm going the unlicensed route. I can do things on my own." There are some enterprises that still are going to rely on the telcos, right? So I don't want to make a demon out of the telcos that you own the spectrum, no. >> David: Sure. >> They will be offering a very valuable service to a massive number of small, medium enterprises and enterprises that span regional boundaries to say, hey we can bring that consistent experience to you. >> But the primary value proposition has been connectivity, right? >> Yes. >> I mean, we can all agree on that. And you hear different monetization models, we can't allow the OTT vendors to do it again. You know, we want to tax Netflix. Okay, we've been talking about that all week. But there may be better models. >> Sarvesh: Yes. >> Right, and so where does private network fit into the monetization models? Let's follow the money here. >> Actually you've brought up an extremely important point, right? Because if you look at why haven't 5G networks taken off, one of the biggest things people keep contrasting is what is the cost of a Wi-Fi versus the cost of deploying a 5G, right? And a portion of the cost of deploying a 5G is how do you commercialize that spectrum? What is going to be the cost of that spectrum, right? So the CSPs will have to eventually figure out a proper commercialization model to say, hey listen, I can't just take what I've been doing till date and say this is how I make. Because if you look at 5G, the return of investment is incremental. Any use case you take, unless, let's take smart manufacturing, unless the factory decides I'm going to rip and replace everything by a 5G, they're going to introduce a small use case. You look at the investment for that use case, you'll say Hmm, I'm not making money. But guess what? Once you've deployed it and you bring use case number two, three, four, five, now it starts to really add value. So how can a CSP acknowledge that and create commercial models to enable that is going to be key. Like one of the things that Dell does in terms of as a service solution that we offer. I think that is a crucial way of really kick starting 5G adoption. >> It's Metcalfe's Law in this world, right? The first telephone, not a lot of value, second, I can call one person, but you know if I can call a zillion now it's valuable. >> John: Now you got data. >> Yeah, right, you used a phrase, rip and replace. What percentage of the market that you are focusing on is the let's go in and replace something, versus the let's help you digitally transform your business. And this is a networking technology that we can use to help you digitally transform? The example that you guys have with the small breweries, a perfect example. >> Sarvesh: Yeah. >> You help digitize, you know, digitally transform their business. You weren't going in and saying, I see that you have these things connected via Wi-Fi, let's rip those out and put SIMs in. >> No. >> Nope, so you know- >> That's exactly right. It's enabling new things that either couldn't be achieved before or weren't. So from a private 5G perspective, it's not going to be rip and replaced. As I said, I think we'll coexist with Wi-Fi, it's still got a great role. It's enabling those, solving those business problems that either hadn't been solved before or could not be solved with other technology. >> How are you guys using AI? Everybody's talking about ChatGPT. I love ChatGPT, we use it all the time. Love it, hate it, you know, whatever. It's a fun topic. But AI generally is here in a way that it wasn't when the enterprise disaggregated. >> John: Right. >> So there's AI, there's automation, there's opportunities there. How do they fit into private 5G? >> So if you look at it, right, AI, AI/ML is actually crucial to value extraction from that data, because all private 5G is doing is giving you access to that precious data. But that data by itself means nothing, right? You get access to the data, extracting value out of the data that bring in business value is all going to be AI/ML. Whether it's computer vision, whether it's data analytics on the fly so that you can, you know do your closed loop controls or what have you. All of these are going to be AI/ML models. >> Dave: Does it play into automation as well? >> Absolutely, 'cause they drive the automation, right? You learn your AI models, drive their automation. Control, closed loop control systems are a perfect example of their automation. >> Explain that further. Like give us an example. >> So for example, let's say we're talking about a smart manufacturing, right? So you have widgets coming down the pipe, right? You have your computer vision, you have your AI/ML model that says, "Hey, I'm starting to detect a consistent error in the product being manufactured. I'm going to close loop that automation and either tweak the settings of the machine, shut down the machine, open a workflow, escalate it for human intervention." All that automation is facilitated by the AI/ML models >> And that, and by the way, there's real money in that, right? If you're making your power and you're making it wrong, you don't detect it for hours, there's real money in fixing that >> Right. >> So I've got a, I've got an example albeit a slight, not even slightly, but a tragic one. Let's say you have a train that's rolling down the tracks at every several miles or so, temperature readings are taken from bearings in the train. >> Sarvesh: Yes, yes. >> Wouldn't it be nice to have that be happening in real time? >> Sarvesh: Yes. >> So it doesn't reach that critical point >> Yes. >> Where then you have a derailment. >> Yes. >> Yeah, absolutely. >> I mean, those are, it's doesn't sound sexy in terms of "Hey, what a great business use case that we can monetize." >> John: Yeah. >> But I'll bet you in hindsight that operator would've loved to have that capability. >> John: Yeah. >> Sarvesh: Right. >> To be able to shut the train down and not run. >> That's a great example where the carrier is actually, probably in a good position, right? Cause you got wide area, you want low latency. So the traditional carriers would be able in great position to provide that exact service. Telemetry is another great example. We've been talking about other kinds of automation, but just picking up measurements and so on. The other example of that is in oil and gas, right? As you've got pipelines running around you're measuring pressure, temperature, you detect a leak, >> David: Right. >> in minutes, not weeks. >> David: Right. >> So there's a lot of good examples of things like that >> To pick up in a point, Dave. You know, it's like you look at these big huge super tankers, right? They have big private networks on that super tanker to monitor everything. If on this train we had, you know, we hear about so many Edges, let's call one more the rolling Edge. >> Yeah. >> Right, that, that Edge is right on that locomotive tracking everything with AI/ML models, detecting things, warning people ahead of time shutting it down as needed. And that connectivity doesn't have to be wired. It can be a rolling wireless. It potentially could be a spectrum that's you know, open spectrum in the future. Or as you said, an operator could facilitate that. So many options, right? >> Yeah, got to double down on this. Look, I know 'cause I've been involved in some of these projects. Amusement park operators are doing this for rides. >> John: Yes. >> Sarvesh: Yep. >> So that they can optimize the amount of time the ride is up, so they can shorten lines >> Yes. >> So that they can get people into shops to buy food and souvenirs. >> John: Yes. >> Certainly we should be able to do it to protect infrastructure. >> Sarvesh: Absolutely. >> Right, so- >> But I think the ultimate point you're making is, it's actually quite finally segmented. There's so many different applications. And so that's why again, we come back to what we started with is at Dell, we're bringing the solution from Edge, compute, application, connectivity, and be able to bring that across all these different verticals and these different solutions. The other amusement park example, by the way, is as the rides start to invest in virtual reality, so you're moving, but you're seeing something, you need some technology like 5G to have low latency and keep that in sync and have a good experience on the ride. >> To 5G and beyond, gents. Thanks so much for coming on theCUBE. >> All right, thank you Dave. >> It was great to have you. >> Thank, thank you guys. >> Great to meet you guys. Thank you very much. >> Great, all right. Keep it right there. For David Nicholson and Dave Vellante, This is theCUBE's coverage of MWC23. Check out siliconangle.com for all the news. theCUBE.net is where all these videos live. John Furrier is in our Palo Alto office, banging out that news. Keep it right there. Be right back after this short break. (gentle upbeat music)

(gentle music) >> Hello, everyone. Welcome to this Cube Conversation. I'm John Furrier, host of theCUBE here, in our Palo Alto Studios. We're featuring OctoML. I'm with the CEO, Luis Ceze. Chief Executive Officer, Co-founder of OctoML. I'm John Furrier of theCUBE. Thanks for joining us today. Luis, great to see you. Last time we spoke was at "re:MARS" Amazon's event. Kind of a joint event between (indistinct) and Amazon, kind of put a lot together. Great to see you. >> Great to see you again, John. I really have good memories of that interview. You know, that was definitely a great time. Great to chat with you again. >> The world of ML and AI, machine learning and AI is really hot. Everyone's talking about it. It's really great to see that advance. So I'm looking forward to this conversation but before we get started, introduce who you are in OctoML. >> Sure. I'm Luis Ceze, Co-founder and CEO at OctoML. I'm also professor of Computer Science at University of Washington. You know, OctoML grew out of our efforts on the Apache CVM project, which is a compiler in runtime system that enables folks to run machine learning models in a broad set of harder in the Edge and in the Cloud very efficiently. You know, we grew that project and grew that community, definitely saw there was something to pain point there. And then we built OctoML, OctoML is about three and a half years old now. And the mission, the company is to enable customers to deploy models very efficiently in the Cloud. And make them, you know, run. Do it quickly, run fast, and run at a low cost, which is something that's especially timely right now. >> I like to point out also for the folks 'casue they should know that you're also a professor in the Computer Science department at University of Washington. A great program there. This is a really an inflection point with AI machine learning. The computer science industry has been waiting for decades to advance AI with all this new cloud computing, all the hardware and silicon advancements, GPUs. This is the perfect storm. And you know, this the computer science now we we're seeing an acceleration. Can you share your view, and you're obviously a professor in that department but also, an entrepreneur. This is a great time for computer science. Explain why. >> Absolutely, yeah, no. Just like the confluence of you know, advances in what, you know, computers can do as devices to computer information. Plus, you know, advances in AI that enable applications that you know, we thought it was highly futuristic and now it's just right there today. You know, AI that can generate photo realistic images from descriptions, you know, can write text that's pretty good. Can help augment, you know, human creativity in a really meaningful way. So you see the confluence of capabilities and the creativity of humankind into new applications is just extremely exciting, both from a researcher point of view as well as an entrepreneur point of view, right. >> What should people know about these large language models we're seeing with ChatGPT and how Google has got a lot of work going on that air. There's been a lot of work recently. What's different now about these models, and why are they so popular and effective now? What's the difference between now, and say five years ago, that makes it more- >> Oh, yeah. It's a huge inflection on their capabilities, I always say like emergent behavior, right? So as these models got more complex and our ability to train and deploy them, you know, got to this point... You know, they really crossed a threshold into doing things that are truly surprising, right? In terms of generating, you know, exhalation for things generating tax, summarizing tax, expending tax. And you know, exhibiting what to some may look like reasoning. They're not quite reasoning fundamentally. They're generating tax that looks like they're reasoning, but they do it so well, that it feels like was done by a human, right. So I would say that the biggest changes that, you know, now, they can actually do things that are extremely useful for business in people's lives today. And that wasn't the case five years ago. So that's in the model capabilities and that is being paired with huge advances in computing that enabled this to be... Enables this to be, you know, actually see line of sites to be deployed at scale, right. And that's where we come in, by the way, but yeah. >> Yeah, I want to get into that. And also, you know, the fusion of data integrating data sets at scales. Another one we're seeing a lot of happening now. It's not just some, you know, siloed, pre-built data modeling. It's a lot of agility and a lot of new integration capabilities of data. How is that impacting the dynamics? >> Yeah, absolutely. So I'll say that the ability to either take the data that has that exists in training a model to do something useful with it, and more interestingly I would say, using baseline foundational models and with a little bit of data, turn them into something that can do a specialized task really, really well. Created this really fast proliferation of really impactful applications, right? >> If every company now is looking at this trend and I'm seeing a lot... And I think every company will rebuild their business with machine learning. If they're not already doing it. And the folks that aren't will probably be dinosaurs will be out of business. This is a real business transformation moment where machine learning and AI, as it goes mainstream. I think it's just the beginning. This is where you guys come in, and you guys are poised for handling this frenzy to change business with machine learning models. How do you guys help customers as they look at this, you know, transition to get, you know, concept to production with machine learning? >> Great. Great questions, yeah, so I would say that it's fair to say there's a bunch of models out there that can do useful things right off the box, right? So and also, the ability to create models improved quite a bit. So the challenge now shifted to customers, you know. Everyone is looking to incorporating AI into their applications. So what we do for them is to, first of all, how do you do that quickly, without needing highly specialized, difficult to find engineering? And very importantly, how do you do that at cost that's accessible, right? So all of these fantastic models that we just talked about, they use an amount of computing that's just astronomical compared to anything else we've done in the past. It means the costs that come with it, are also very, very high. So it's important to enable customers to, you know, incorporate AI into their applications, to their use cases in a way that they can do, with the people that they have, and the costs that they can afford, such that they can have, you know, the maximum impacting possibly have. And finally, you know, helping them deal with hardware availability, as you know, even though we made a lot of progress in making computing cheaper and cheaper. Even to this day, you know, you can never get enough. And getting an allocation, getting the right hardware to run these incredibly hungry models is hard. And we help customers deal with, you know, harder availability as well. >> Yeah, for the folks watching as a... If you search YouTube, there's an interview we did last year at "re:MARS," I mentioned that earlier, just a great interview. You talked about this hardware independence, this traction. I want to get into that, because if you look at all the foundation models that are out there right now, that are getting traction, you're seeing two trends. You're seeing proprietary and open source. And obviously, open source always wins in my opinion, but, you know, there's this iPhone moment and android moment that one of your investors John Torrey from Madrona, talked about was is iPhone versus Android moment, you know, one's proprietary hardware and they're very specialized high performance and then open source. This is an important distinction and you guys are hardware independent. What's the... Explain what all this means. >> Yeah. Great set of questions. First of all, yeah. So, you know, OpenAI, and of course, they create ChatGPT and they offer an API to run these models that does amazing things. But customers have to be able to go and send their data over to OpenAI, right? So, and run the model there and get the outputs. Now, there's open source models that can do amazing things as well, right? So they typically open source models, so they don't lag behind, you know, these proprietary closed models by more than say, you know, six months or so, let's say. And it means that enabling customers to take the models that they want and deploy under their control is something that's very valuable, because one, you don't have to expose your data to externally. Two, you can customize the model even more to the things that you wanted to do. And then three, you can run on an infrastructure that can be much more cost effective than having to, you know, pay somebody else's, you know, cost and markup, right? So, and where we help them is essentially help customers, enable customers to take machine learning models, say an open source model, and automate the process of putting them into production, optimize them to run with the right performance, and more importantly, give them the independence to run where they need to run, where they can run best, right? >> Yeah, and also, you know, I point out all the time that, you know, there's never any stopping the innovation of hardware silicon. You're seeing cloud computing more coming in there. So, you know, being hardware independent has some advantages. And if you look at OpenAI, for instance, you mentioned ChatGPT, I think this is interesting because I think everyone is scratching their head, going, "Okay, I need to move to this new generation." What's your pro tip and advice for folks who want to move to, or businesses that want to say move to machine learning? How do they get started? What are some of the considerations they need to think about to deploy these models into production? >> Yeah, great though. Great set of questions. First of all, I mean, I'm sure they're very aware of the kind of things that you want to do with AI, right? So you could be interacting with customers, you know, automating, interacting with customers. It could be, you know, finding issues in production lines. It could be, you know... Generating, you know, making it easier to produce content and so on. Like, you know, customers, users would have an idea what they want to do. You know, from that it can actually determine, what kind of machine learning models would solve the problem that would, you know, fits that use case. But then, that's when the hard thing begins, right? So when you find a model, identify the model that can do the thing that you wanted to do, you need to turn that into a thing that you can deploy. So how do you go from machine learning model that does a thing that you need to do, to a container with the right executor, the artifact they can actually go and deploy, right? So we've seen customers doing that on their own, right? So, and it's got a bit of work, and that's why we are excited about the automation that we can offer and then turn that into a turnkey problem, right? So a turnkey process. >> Luis, talk about the use cases. If I don't mind going and double down on the previous answer. You got existing services, and then there's new AI applications, AI for applications. What are the use cases with existing stuff, and the new applications that are being built? >> Yeah, I mean, existing itself is, for example, how do you do very smart search and auto completion, you know, when you are editing documents, for example. Very, very smart search of documents, summarization of tax, expanding bullets into pros in a way that, you know, don't have to spend as much human time. Just some of the existing applications, right? So some of the new ones are like truly AI native ways of producing content. Like there's a company that, you know, we share investors and love what they're doing called runwayyML, for example. It's sort of like an AI first way of editing and creating visual content, right? So you could say you have a video, you could say make this video look like, it's night as opposed to dark, or remove that dog in the corner. You can do that in a way that you couldn't do otherwise. So there's like definitely AI native use cases. And yet not only in life sciences, you know, there's quite a bit of advances on AI-based, you know, therapies and diagnostics processes that are designed using automated processes. And this is something that I feel like, we were just scratching the surface there. There's huge opportunities there, right? >> Talk about the inference and AI and production kind of angle here, because cost is a huge concern when you look at... And there's a hardware and that flexibility there. So I can see how that could help, but is there a cost freight train that can get out of control here if you don't deploy properly? Talk about the scale problem around cost in AI. >> Yeah, absolutely. So, you know, very quickly. One thing that people tend to think about is the cost is. You know, training has really high dollar amounts it tends over index on that. But what you have to think about is that for every model that's actually useful, you're going to train it once, and then run it a large number of times in inference. That means that over the lifetime of a model, the vast majority of the compute cycles and the cost are going to go to inference. And that's what we address, right? So, and to give you some idea, if you're talking about using large language model today, you know, you can say it's going to cost a couple of cents per, you know, 2,000 words output. If you have a million users active, you know, a day, you know, if you're lucky and you have that, you can, this cost can actually balloon very quickly to millions of dollars a month, just in inferencing costs. You know, assuming you know, that you actually have access to the infrastructure to run it, right? So means that if you don't pay attention to these inference costs and that's definitely going to be a surprise. And affects the economics of the product where this is embedded in, right? So this is something that, you know, if there's quite a bit of attention being put on right now on how do you do search with large language models and you don't pay attention to the economics, you know, you can have a surprise. You have to change the business model there. >> Yeah. I think that's important to call out, because you don't want it to be a runaway cost structure where you architected it wrong and then next thing you know, you got to unwind that. I mean, it's more than technical debt, it's actually real debt, it's real money. So, talk about some of the dynamics with the customers. How are they architecting this? How do they get ahead of that problem? What do you guys do specifically to solve that? >> Yeah, I mean, well, we help customers. So, it's first of all, be hyper aware, you know, understanding what's going to be the cost for them deploying the models into production and showing them the possibilities of how you can deploy the model with different cost structure, right? So that's where, you know, the ability to have hardware independence is so important because once you have hardware independence, after you optimize models, obviously, you have a new, you know, dimension of freedom to choose, you know, what is the right throughput per dollar for you. And then where, and what are the options? And once you make that decision, you want to automate the process of putting into production. So the way we help customers is showing very clearly in their use case, you know, how they can deploy their models in a much more cost-effective way. You know, when the cases... There's a case study that we put out recently, showing a 4x reduction in deployment costs, right? So this is by doing a mix optimization and choosing the right hardware. >> How do you address the concern that someone might say, Luis said, "Hey, you know, I don't want to degrade performance and latency, and I don't want the user experience to suffer." What's the answer there? >> Two things. So first of all, all of the manipulations that we do in the model is to turn the model to efficient code without changing the behavior of the models. We wouldn't degrade the experience of the user by having the model be wrong more often. And we don't change that at all. The model behaves the way it was validated for. And then the second thing is, you know, user experience with respect to latency, it's all about a maximum... Like, you could say, I want a model to run at 50 milliseconds or less. If it's much faster than 15 seconds, you're not going to notice the difference. But if it's lower, you're going to notice a difference. So the key here is that, how do you find a set of options to deploy, that you are not overshooting performance in a way that's going to lead to costs that has no additional benefits. And this provides a huge, a very significant margin of choices, set of choices that you can optimize for cost without degrading customer experience, right. End user experience. >> Yeah, and I also point out the large language models like the ChatGPTs of the world, they're coming out with Dave Moth and I were talking on this breaking analysis around, this being like, over 10X more computational intensive on capabilities. So this hardware independence is a huge thing. So, and also supply chain, some people can't get servers by the way, so, or hardware these days. >> Or even more interestingly, right? So they do not grow in trees, John. Like GPUs is not kind of stuff that you plant an orchard until you have a bunch and then you can increase it, but no, these things, you know, take a while. So, and you can't increase it overnight. So being able to live with those cycles that are available to you is not just important for all for cost, but also important for people to scale and serve more users at, you know, at whatever pace that they come, right? >> You know, it's really great to talk to you, and congratulations on OctaML. Looking forward to the startup showcase, we'll be featuring you guys there. But I want to get your personal opinion as someone in the industry and also, someone who's been in the computer science area for your career. You know, computer science has always been great, and there's more people enrolling in computer science, more diversity than ever before, but there's also more computer science related fields. How is this opening up computer science and where's AI going with the computers, with the science? Can you share your vision on, you know, the aperture, or the landscape of CompSci, or CS students, and opportunities. >> Yeah, no, absolutely. I think it's fair to say that computer has been embedded in pretty much every aspect of human life these days. Human life these days, right? So for everything. And AI has been a counterpart, it been an integral component of computer science for a while. And this medicines that happened in the last 10, 15 years in AI has shown, you know, new application has I think re-energized how people see what computers can do. And you, you know, there is this picture in our department that shows computer science at the center called the flower picture, and then all the different paddles like life sciences, social sciences, and then, you know, mechanical engineering, all these other things that, and I feel like it can replace that center with computer science. I put AI there as well, you see AI, you know touching all these applications. AI in healthcare, diagnostics. AI in discovery in the sciences, right? So, but then also AI doing things that, you know, the humans wouldn't have to do anymore. They can do better things with their brains, right? So it's permitting every single aspect of human life from intellectual endeavor to day-to-day work, right? >> Yeah. And I think the ChatGPT and OpenAI has really kind of created a mainstream view that everyone sees value in it. Like you could be in the data center, you could be in bio, you could be in healthcare. I mean, every industry sees value. So this brings up what I can call the horizontally scalable use constance. And so this opens up the conversation, what's going to change from this? Because if you go horizontally scalable, which is a cloud concept as you know, that's going to create a lot of opportunities and some shifting of how you think about architecture around data, for instance. What's your opinion on what this will do to change the inflection of the role of architecting platforms and the role of data specifically? >> Yeah, so good question. There is a lot in there, by the way, I should have added the previous question, that you can use AI to do better AI as well, which is what we do, and other folks are doing as well. And so the point I wanted to make here is that it's pretty clear that you have a cloud focus component with a nudge focused counterparts. Like you have AI models, but both in the Cloud and in the Edge, right? So the ability of being able to run your AI model where it runs best also has a data advantage to it from say, from a privacy point of view. That's inherently could say, "Hey, I want to run something, you know, locally, strictly locally, such that I don't expose the data to an infrastructure." And you know that the data never leaves you, right? Never leaves the device. Now you can imagine things that's already starting to happen, like you do some forms of training and model customization in the model architecture itself and the system architecture, such that you do this as close to the user as possible. And there's something called federated learning that has been around for some time now that's finally happening is, how do you get a data from butcher places, you do, you know, some common learning and then you send a model to the Edges, and they get refined for the final use in a way that you get the advantage of aggregating data but you don't get the disadvantage of privacy issues and so on. >> It's super exciting. >> And some of the considerations, yeah. >> It's super exciting area around data infrastructure, data science, computer science. Luis, congratulations on your success at OctaML. You're in the middle of it. And the best thing about its businesses are looking at this and really reinventing themselves and if a business isn't thinking about restructuring their business around AI, they're probably will be out of business. So this is a great time to be in the field. So thank you for sharing your insights here in theCUBE. >> Great. Thank you very much, John. Always a pleasure talking to you. Always have a lot of fun. And we both speak really fast, I can tell, you know, so. (both laughing) >> I know. We'll not the transcript available, we'll integrate it into our CubeGPT model that we have Luis. >> That's right. >> Great. >> Great. >> Great to talk to you, thank you, John. Thanks, man, bye. >> Hey, this is theCUBE. I'm John Furrier, here in Palo Alto, Cube Conversation. Thanks for watching. (gentle music)

>> Welcome back to the program. My name is Dave Valante and in this session, we're going to explore one of the more interesting topics of the day. IoT for Smart Factories. And with me are, Todd Edmunds,the Global CTO of Smart Manufacturing Edge and Digital Twins at Dell Technologies. That is such a cool title. (chuckles) I want to be you. And Dr. Aditi Banerjee, who's the Vice President, General Manager for Aerospace Defense and Manufacturing at DXC Technology. Another really cool title. Folks, welcome to the program. Thanks for coming on. >> Thanks Dave. >> Thank you. Great to be here. >> Nice to be here. >> Todd, let's start with you. We hear a lot about Industry 4.0, Smart Factories, IIoT. Can you briefly explain, what is Industry 4.0 all about and why is it important for the manufacturing industry? >> Yeah. Sure, Dave. You know, it's been around for quite a while and it's gone by multiple different names, as you said. Industry 4.0, Smart Manufacturing, Industrial IoT, Smart Factory. But it all really means the same thing, its really applying technology to get more out of the factories and the facilities that you have to do your manufacturing. So, being much more efficient, implementing really good sustainability initiatives. And so, we really look at that by saying, okay, what are we going to do with technology to really accelerate what we've been doing for a long, long time? So it's really not- it's not new. It's been around for a long time. What's new is that manufacturers are looking at this, not as a one-of, two-of individual Use Case point of view but instead they're saying, we really need to look at this holistically, thinking about a strategic investment in how we do this. Not to just enable one or two Use Cases, but enable many many Use Cases across the spectrum. I mean, there's tons of them out there. There's Predictive maintenance and there's OEE, Overall Equipment Effectiveness and there's Computer Vision and all of these things are starting to percolate down to the factory floor, but it needs to be done in a little bit different way and really to really get those outcomes that they're looking for in Smart Factory or Industry 4.0 or however you want to call it. And truly transform, not just throw an Industry 4.0 Use Case out there but to do the digital transformation that's really necessary and to be able to stay relevant for the future. I heard it once said that you have three options. Either you digitally transform and stay relevant for the future or you don't and fade into history. Like, 52% of the companies that used to be on the Fortune 500 since 2000. Right? And so, really that's a key thing and we're seeing that really, really being adopted by manufacturers all across the globe. >> Yeah. So, Aditi, it's like digital transformation is almost synonymous with business transformation. So, is there anything you'd add to what Todd just said? >> Absolutely. Though, I would really add that what really drives Industry 4.0 is the business transformation. What we are able to deliver in terms of improving the manufacturing KPIs and the KPIs for customer satisfaction, right? For example, improving the downtime or decreasing the maintenance cycle of the equipments or improving the quality of products, right? So, I think these are lot of business outcomes that our customers are looking at while using Industry 4.0 and the technologies of Industry 4.0 to deliver these outcomes. >> So, Aditi, I wonder if I could stay with you and maybe this is a bit esoteric but when I first first started researching IoT and Industrial IoT 4.0, et cetera, I felt, well, there could be some disruptions in the ecosystem. I kind of came to the conclusion that large manufacturing firms, Aerospace Defense companies the firms building out critical infrastructure actually had kind of an incumbent advantage and a great opportunity. Of course, then I saw on TV somebody now they're building homes with 3D printers. It like blows your mind. So that's pretty disruptive. But, so- But they got to continue, the incumbents have to continue to invest in the future. They're well-capitalized. They're pretty good businesses, very good businesses but there's a lot of complexities involved in kind of connecting the old house to the new addition that's being built, if you will, or this transformation that we're talking about. So, my question is, how are your customers preparing for this new era? What are the key challenges that they're facing in the the blockers, if you will? >> Yeah, I mean the customers are looking at Industry 4.0 for Greenfield Factories, right? That is where the investments are going directly into building the factories with the new technologies, with the new connectivities, right? For the machines, for example, Industrial IoT having the right type of data platforms to drive computational analytics and outcomes, as well as looking at Edge versus Cloud type of technologies, right? Those are all getting built in the Greenfield Factories. However, for the Install-Based Factories, right? That is where our customers are looking at how do I modernize these factories? How do I connect the existing machine? And that is where some of the challenges come in on the legacy system connectivity that they need to think about. Also, they need to start thinking about cybersecurity and operation technology security because now you are connecting the factories to each other. So, cybersecurity becomes top of mind, right? So, there is definitely investment that is involved. Clients are creating roadmaps for digitizing and modernizing these factories and investments in a very strategic way. So, perhaps they start with the innovation program and then they look at the business case and they scale it up, right? >> Todd, I'm glad you did brought up security, because if you think about the operations technology folks, historically they air-gaped the systems, that's how they created security. That's changed. The business came in and said, 'Hey, we got to connect. We got to make it intelligence.' So, that's got to be a big challenge as well. >> It absolutely is, Dave. And, you know, you can no longer just segment that because really to get all of those efficiencies that we talk about, that IoT and Industrial IoT and Industry 4.0 promise, you have to get data out of the factory but then you got to put data back in the factory. So, no longer is it just firewalling everything is really the answer. So, you really have to have a comprehensive approach to security, but you also have to have a comprehensive approach to the Cloud and what that means. And does it mean a continuum of Cloud all the way down to the Edge, right down to the factory? It absolutely does. Because no one approach has the answer to everything. The more you go to the Cloud the broader the attack surface is. So, what we're seeing is a lot of our customers approaching this from kind of that hybrid right ones run anywhere on the factory floor down to the Edge. And one of the things we're seeing too, is to help distinguish between what is the Edge and bridge that gap between, like, Dave, you talked about IT and OT and also help what Aditi talked about is the Greenfield Plants versus the Brownfield Plants that they call it, that are the legacy ones and modernizing those. It's great to kind of start to delineate what does that mean? Where's the Edge? Where's the IT and the OT? We see that from a couple of different ways. We start to think about really two Edges in a manufacturing floor. We talk about an Industrial Edge that sits... or some people call it a Far Edge or a Thin Edge, sits way down on that plant, consists of industrial hardened devices that do that connectivity. The hard stuff about how do I connect to this obsolete legacy protocol and what do I do with it? And create that next generation of data that has context. And then we see another Edge evolving above that, which is much more of a data and analytics and enterprise grade application layer that sits down in the factory itself; that helps figure out where we're going to run this? Does it connect to the Cloud? Do we run Applications On-Prem? Because a lot of times that On-Prem Application it needs to be done. 'Cause that's the only way that it's going to work because of security requirements, because of latency requirements performance and a lot of times, cost. It's really helpful to build that Multiple-Edge strategy because then you kind of, you consolidate all of those resources, applications, infrastructure, hardware into a centralized location. Makes it much, much easier to really deploy and manage that security. But it also makes it easier to deploy new Applications, new Use Cases and become the foundation for DXC'S expertise and Applications that they deliver to our customers as well. >> Todd, how complex are these projects? I mean, I feel like it's kind of the the digital equivalent of building the Hoover Dam. I mean, its.. so yeah. How long does a typical project take? I know it varies, but what are the critical success factors in terms of delivering business value quickly? >> Yeah, that's a great question in that we're- you know, like I said at the beginning, this is not new. Smart Factory and Industry 4.0 is not new. It's been, it's people have been trying to implement the Holy Grail of Smart Factory for a long time. And what we're seeing is a switch, a little bit of a switch or quite a bit of a switch to where the enterprises and the IT folks are having a much bigger say and they have a lot to offer to be able to help that complexity. So, instead of deploying a computer here and a Gateway there and a Server there, I mean, you go walk into any manufacturing plant and you can see Servers sitting underneath someone's desk or a PC in a closet somewhere running a critical production application. So, we're seeing the enterprise have a much bigger say at the table, much louder voice at the table to say, we've been doing this enterprise all the time. We know how to really consolidate, bring Hyper-Converged Applications, Hyper-Converged Infrastructure to really accelerate these kind of applications. Really accelerate the outcomes that are needed to really drive that Smart Factory and start to bring that same capabilities down into the Mac on the factory floor. That way, if you do it once to make it easier to implement, you can repeat that. You can scale that. You can manage it much easily and you can then bring that all together because you have the security in one centralized location. So, we're seeing manufacturers that first Use Case may be fairly difficult to implement and we got to go down in and see exactly what their problems are. But when the infrastructure is done the correct way when that- Think about how you're going to run that and how are you going to optimize the engineering. Well, let's take that what you've done in that one factory and then set. Let's make that across all the factories including the factory that we're in, then across the globe. That makes it much, much easier. You really do the hard work once and then repeat. Almost like cookie cutter. >> Got it. Thank you. >> Aditi, what about the skillsets available to apply these to these projects? You got to have knowledge of digital, AI, Data, Integration. Is there a talent shortage to get all this stuff done? >> Yeah, I mean, definitely. Lot different types of skillsets are needed from a traditional manufacturing skillset, right? Of course, the basic knowledge of manufacturing is important. But the digital skillsets like IoT, having a skillset in in different Protocols for connecting the machines, right? That experience that comes with it. Data and Analytics, Security, Augmented Virtual Reality Programming. Again, looking at Robotics and the Digital Twin. So, the... It's a lot more connectivity software, data-driven skillsets that are needed to Smart Factory to life at scale. And, you know, lots of firms are recruiting these types of resources with these skill sets to accelerate their Smart Factory implementation, as well as consulting firms like DXC Technology and others. We recruit, we train our talent to provide these services. >> Got it. Aditi, I wonder if we could stay on you. Let's talk about the partnership between DXC and Dell. What are you doing specifically to simplify the move to Industry 4.0 for customers? What solutions are you offering? How are you working together, Dell and DXC to bring these to market? >> Yeah, Dell and DXC have a very strong partnership and we work very closely together to create solutions, to create strategies and how we are going to jointly help our clients, right? So, areas that we have worked closely together is Edge Compute, right? How that impacts the Smart Factory. So, we have worked pretty closely in that area. We're also looked at Vision Technologies. How do we use that at the Edge to improve the quality of products, right? So, we have several areas that we collaborate in and our approaches that we want to bring solutions to our client and as well as help them scale those solutions with the right infrastructure, the right talent and the right level of security. So, we bring a comprehensive solution to our clients. >> So, Todd, last question. Kind of similar but different, you know. Why Dell, DXC, pitch me? What's different about this partnership? Where are you confident that you're going to be to deliver the best value to customers? >> Absolutely. Great question. You know, there's no shortage of Bespoke Solutions that are out there. There's hundreds of people that can come in and do individual Use Cases and do these things and just, and that's where it ends. What Dell and DXC Technology together bring to the table is we do the optimization of the engineering of those previously Bespoke Solutions upfront, together. The power of our scalable enterprise grade structured industry standard infrastructure, as well as our expertise in delivering package solutions that really accelerate with DXC's expertise and reputation as a global trusted advisor. Be able to really scale and repeat those solutions that DXC is so really, really good at. And Dell's infrastructure and our, 30,000 people across the globe that are really, really good at that scalable infrastructure to be able to repeat. And then it really lessens the risk that our customers have and really accelerates those solutions. So it's again, not just one individual solutions it's all of the solutions that not just drive Use Cases but drive outcomes with those solutions. >> Yeah, you're right. The partnership has gone, I mean I first encountered it back in, I think it was 2010. May of 2010. We had guys both on the, I think you were talking about converged infrastructure and I had a customer on, and it was actually the manufacturing customer. It was quite interesting. And back then it was how do we kind of replicate what's coming in the Cloud? And you guys have obviously taken it into the digital world. Really want to thank you for your time today. Great conversation and love to have you back. >> Thank you so much. It was a pleasure speaking with you. I agree. >> All right, keep it right there for more discussions that educate and inspire on "The Cube."

>> If you really want to make an impact to your business, it takes more than just moving your workloads into the cloud. So-called lift and shift is fine to reduce data center footprints and associated costs, but to really drive change, you don't want to simply "pave the cow path," as the saying goes. Rather, you need to think about the operating model, and that requires more comprehensive systems thinking. In other words, how will changes in technology affect business productivity? Or, you know what? Even flip that. What changes in my business process could lower cost, cut elapse times, and accelerate time to market, increase user productivity, and lower operational risks? And what role can technology play in supporting these mandates through modernization, automation, machine intelligence, and business resilience? And that's what we're here to discuss today. Welcome to Driving Business Results with Cloud Transformation, made Possible by Dell and DXC. My name is Dave Vellante, and today we're going to zoom out and explore many aspects of cloud transformation that leading organizations are acting on today. Yeah, sure, we're going to look at optimizing infrastructure, but we'll also dig deeper into cloud considerations, governance, compliance, and security angles, as well as the impact of emerging opportunities around edge and Industry 4.0. Our focus will be on how to remove barriers and help you achieve business outcomes. And to do this, our program features the long-term partnership between Dell and DXC. And we bring to this program six experts in three separate sessions, who are working directly with top organizations in virtually every industry to achieve high impact results. We're going to start with a conversation about cloud, the cloud operating model, and transforming key aspects of your infrastructure. And then we'll look into governance, security, and business resilience. And in our third session, we'll discuss exciting transformations that are occurring in smart manufacturing and facilities innovations. So let's get right into it with our first session. Enjoy the program. (bright music) Hello, and welcome to what is sure to be an insightful conversation about getting business results with cloud transformation. My name is Dave Vellante, and I'm here with James Miller, Chief Technologist for Cloud and Infrastructure Services, and Jay Dowling, Americas Sales Lead for Cloud and Infrastructure Services, both with DXC Technology. Gentlemen, thanks for your time today. Welcome to theCube. >> Great. Thanks for having us. >> Thank you Dave. Appreciate it. >> So let's get right into it. You know, I've talked to a lot of practitioners who've said, "Look, if you really want to drop zeros, like a lot of zeros to the bottom line, you can't just lift and shift." You really got to think about modernizing, the application portfolio. You got to think about your business model, and really think about transforming your business, particularly the operating model. So my first question, Jim, is, What role does the cloud play in modernization? >> Well, there are really three aspects that the, the cloud plays in modernization. You mentioned multiple zeros. One is cost optimization, and that can be achieved through business operations, through environmental, social, and governance. Also being more efficient with your IT investments. But that's not the only aspect. There's also agility and innovation. And that can be achieved through automation and productivity, speed to market for new features and functions, improvements in the customer experience, and the capability to metabolize a great deal more data in your environment, which the end result is an improvement in releasing of new things to the field. And finally, there's resilience. And I'm not really talking about IT resilience, but more of business resilience, to be able, to be able to handle operational risk, improve your securities and controls, deal with some of the talent gap that's in the industry, and also protect your brand reputation. So modernization is really about balancing these three aspects, cost optimization, agility and innovation, and resilience. >> So, so thank you for that. So Jay, I got to ask you, in the current climate, everybody's, you know, concerned, and there's not great visibility on the macro. So, Jim mentioned cost optimization. That seems to be one of the top areas that customers are focused on. The two I hear a lot are consolidating redundant vendors and optimizing cloud costs. So that's, you know, top of mind today. I think everybody really, you know, understands the innovation and, and, and agility piece, at least at a high level, maybe realizing it is different. And then the business resilience piece is really interesting because, you know, prior to the pandemic people, you know, they had a DR strategy, but they realized, "Wow, my business might not be that resilient." So Jay, my question to you is, What are you hearing when you talk to customers? What's the priority today? >> Yeah, the priority is an often overused term of digital transformation. You know, people want to get ready for next generation environments, customer experience, making sure they're improving, you know, how they engage with their clients and what their branding is. And what we find is a lot of clients don't have the underlying infrastructure in place today to get to where they want to get to. So cloud becomes an important element of that. But, you know, with DXC's philosophy, not everything goes to, not everything necessarily needs to go to cloud to be cost optimized, for instance. In many cases, you can run applications, you know, in your own data center, or on-prem, or in other environments, in a hybrid environment, or multi-cloud environment, and, and still be very optimized from a cost spend standpoint and also put yourself in position for modernization and for be able to do the, bring the things to the business that the clients are, you know, that their clients are looking for, like the CMO and the CFO, et cetera. Trying to use IT as a lever to drive business and to drive, you know, business acceleration and drive profitability, frankly. So there's a lot of dependency on infrastructure, but there's a lot of elements to it. And, and we advocate for, you know, there's not a single answer to that. We like to evaluate clients' environments and work with them to get them to an optimal target operating model, you know, so that they can really deliver on what the promises are for their departments. >> So if, let's talk about some of the, the barriers to realizing value in, in a context of modernization. We talked about cost optimization, agility, and, and, and resilience. But there's a business angle, and there's a technical angle here. 'Cause we always talk about people, process, and technology. Technology, oftentimes, CIOs will tell us, "Well, that's the easy part. We'll figured that out," whether it's true or not. But I agree, people and process is sometimes the tough one. So Jay, why don't you start. What do you see as the barriers, particularly from a business standpoint? >> I think people need to let their guard down and be open to the ideas that are, that are out there in the market from, you know, the, the standards that are being built by, you know, best in class models. And, and there's many people that have gone on, you know, cloud journeys and been very successful with it. There's others that have set high expectations with their business leaders that haven't necessarily met the goals that they need to meet or maybe haven't met them as quickly as they promised. So there's a, you know, there's a change management aspect that you'd need to look at with the, you know, with the environments. There's a, you know, there's a skillset set environment that they need to be prepared for. Do they have the people, you know, to deliver with the, you know, with the tools and the skills and the, and the models that that they're putting themselves in place for in the future versus where they are now? There's just a lot of, you know, there's a lot of different elements. It's not just a, "This price is better," or, "This can operate better than one environment over the other." I think we like to try to look at things holistically and make sure that, you know, we're being, you know, as much of a consultative advocate for the client, for where they want to go, what their destiny is, and based on what we've learned with other clients. You know, and we can bring those best practices forward because we've worked, you know, across such a broad spectra of clients versus them being somewhat contained and sometimes can't see outside of their own, you know, their own challenges, if you would. So they need, they need advocacy to help, you know, bring them to the next level. And we like to translate that through, you know, technology advances, which, you know, Jim's really good at doing for us. >> Yeah, Jim, is, is it, is it a, is the big barrier a skills issue, you know, bench strength? Are there other considerations from your perspective? >> Well, we, we've identified a number of factors that inhibit success of, of customers. One is thinking it's only a technology change in moving to cloud when it's much broader than that. There are changes in governance, changes in process that need to take place. The other is evaluating the cloud providers on their current pricing structure and performance. And, and we see pricing and structure changing dramatically every few months between the various cloud providers. And you have to be flexible enough to, to determine which providers you want. And it may not be feasible to just have a single cloud provider in this world. The other thing is a big bang approach to transformation, "I want to move everything, and I want to move it all at once." That's not necessarily the best approach. A well thought out cloud journey and strategy and timing your investments are really important to get at maximizing your business return on the journey to the cloud. And finally, not engaging stakeholders early and continuously. You have to manage expectations in moving to cloud on what business factors will get affected, how you will achieve your cost savings, and, and how you will achieve the business impact over the journey and reporting out on that with very strict metrics to all of the stakeholders. >> You know, mentioned multi-cloud just then. We had, in January 17th, we had our Supercloud 2 event. And Supercloud is basically, it's really multi, what multi-cloud should have been, I, I like to say. So it's this creating a common experience across clouds. And you guys were talking about, you know, there's different governance, there's different security, there's different pricing. So, and, and one of the takeaways from this event in talking to customers and practitioners and technologists is, you can't go it alone. So I wonder if you could talk about your partnership strategy, what do partners bring to the table, and what is, what is DXC's, you know, unique value? >> I'd be happy to lead with that if you'd like. >> Great. >> I, you know, we've got a vast partner ecosystem at DXC, given the size and, and the history of the company. I could use several examples. One of the larger partners in my particular space is Dell Technology, right? They're a great, you know, partner for us across many different areas of the business. It's not just a storage and compute play anymore. They're, they're on the edge. They're, you know, they're, they've got intelligence in their networking devices now. And they've really brought, you know, a lot of value to us as a partner. And, you know, there, there's somebody, you could look at Dell technology as somebody that might, you know, have a victim, you know, effect because of all the hyperscale activity and all the cloud activity. But they've really taken an outstanding attitude with this and say, "Listen, not all things are destined for cloud, or not all things would operate better in a cloud environment." And they like to be part of those discussions to see how they can, you know, how we can bring a multi-cloud environment, you know, both private and public, you know, to clients. And let's look at the applications and the infrastructure and, and what's, you know, what's the best optimal running environment, you know, for us to be able to bring, you know, the greatest value to the business with speed, with security, with, you know. And, you know, the things that they want to keep closest to the business are often things that you want to kind of, you know, keep on your premise or keep in your own data center. So they're, they're an ideal model of somebody that's resourced us well, partners with us well in the market. And, and we continue to grow that relationship day in and day out with those guys. And we really appreciate, you know, their support of our strategy, and, and we like to also compliment their strategy and work, you know, work together hand in hand in front of our clients. >> Yeah, you know, Jim, Matt Baker, who's the head of strategic planning at Dell talks about, "It's not a zero sum game." And I think, you know, you're right, Jay. I think initially people felt like, "Oh wow, it's, it is a zero sum game." But it's clearly not, and this idea of of, whether you call it supercloud or ubercloud or multicloud, clearly Dell is headed in in that direction. And I, you know, look at some of their future projects. There's their narrative. I'm curious from a technology standpoint, Jim, what your role is. Is it to make it all work? Is it to, you know, end to end? I wonder if you could help, you know, us understand that. >> Help us figure this out, Jim, here. (group laughing) >> Glad to expand on that. One of my key roles is developing our product roadmap for DXC offerings. And we do that roadmap in conjunction with our partners where we can leverage the innovation that our partners bring to the table. And we often utilize engineering resources from our partners to help us jointly build those offerings that adapt to changes in the market and also adapt to many of our customers changing needs over time. So my primary role is to look at the market, talk to our customers, and work with our partners to develop a product roadmap for delivering DXC products and services to our clients so that they can get the return on investment on their technology journeys. >> You know, we've been working with these two firms for a while now. Even predates, you know, the, the name DXC and that, that transformation. I'm curious as to what's, how you would respond to, "What's unique?" You know, you hear a lot about partnerships. You guys got a lot of competition. Dell has a lot of competition. What's specifically unique about this combination? >> I think, go ahead, Jim. >> I would say our unique approach, we call it cloud right. And that, that approach is making the right investments, at the right time, and on the right platforms. And our partners play a, play a key role in that. So we, we encourage our customers to not necessarily have a cloud first approach, but a cloud right approach where they place the workloads in the environment that is best suited from a technology perspective, a business perspective, and even a security and governance perspective. And, and the right approach might include mainframe. It might include an on-premises infrastructure. It could include private cloud, public cloud, and SaaS components all integrated together to deliver that value. >> Yeah, Jay, please. >> If you were... >> That is a complicated situation for a lot of customers. Chime in here. (Jay chuckles) >> And now, if you were speaking specifically to Dell here, like they, they also walk the talk, right? They invest in DXC as a partnership. They put people on the ground that their only purpose in life is to help DXC succeed with Dell in, you know, arm in arm in front of clients. And it's not, you know, it's not a winner take all thing at all. It's really a true partnership. They, they, they've brought solution resources. We have an account CTO. We've got executive sponsorship. We do regular QBR meetings. We have regular executive touchpoint meetings. It's really important that you keep a high level of intimacy with the client, with the partners, you know, and, and the, and the GSI community. And I, I've been with several GSIs, and, and this is an exceptional example of true partnership and commitment to success with Dell technology. I'm really extremely impressed on, on the engagement level that we've had there and, you know, continue to show a lot of support, you know, both for them. You know, there's other OEM partners, of course, in the market. There's always going to be other technology solutions for certain clients, but this has been a particularly strong element for us in our partnership and in our go-to-market strategy. >> Well, I think too, just my observation, is a lot of it's about trust. You guys have both earned the trust, the kind of, over the, over the years taking your arrows, you know, of over decades. And, and you know, that just doesn't happen overnight. So guys, I appreciate it. Thanks for your time. It's all about getting cloud right, isn't it? >> That's right. (chuckles) (Dave chuckles) >> Thank you Dave. Appreciate it very much. >> Dave, thank you. >> Jay, Jim, great to have you on. Keep it right there for more action on theCube. Be right back. (upbeat guitar music) (keyboard clicks) Welcome back to the program. My name is Dave Vellante, and in this session we're going to explore one of the more interesting topics of the day. IoT for smart factories and with me are Todd Edmunds, the Global CTO of Smart Manufacturing Edge and Digital Twins at Dell Technologies. That is such a cool title. (Todd chuckles) I want to be you. And Dr. Aditi Banerjee who's the Vice President, General Manager for Aerospace Defense and Manufacturing at DXC Technology. Another really cool title. Folks, welcome to the program. Thanks for coming on. >> Thank you. >> Thanks, Dave. Great to be here. >> Nice to be here. So, Todd, let's start with you. We hear a lot about Industry 4.0, smart factories, IIoT. Can you briefly explain like what is Industry 4.0 all about, and why is it important for the manufacturing industry? >> Yeah, sure, Dave. You know, it's been around for quite a while. And it's got, it's gone by multiple different names, as you said, Industry 4.0, smart manufacturing, industrial IoT, smart factory, but it all really means the same thing. Its really applying technology to get more out of the factories and the facilities that you have to do your manufacturing. So being much more efficient, implementing really good sustainability initiatives. And so we really look at that by saying, "Okay, what are we going to do with technology to really accelerate what we've been doing for a long, long time?" So it's really not, it's not new. It's been around for a long time. What's new is that manufacturers are looking at this not as a one-off, two-off, individual use case point of view. But instead they're saying, "We really need to look at this holistically, thinking about a strategic investment in how we do this, not to just enable one or two use cases, but enable many, many use cases across the spectrum." I mean, there's tons of them out there. There's predictive maintenance, and there's OEE, overall equipment effectiveness, and there's computer vision. And all of these things are starting to percolate down to the factory floor. But it needs to be done in a little bit different way. And, and, and really, to really get those outcomes that they're looking for in smart factory, or Industry 4.0, or however you want to call it, and truly transform. Not just throw an Industry 4.0 use case out there, but to do the digital transformation that's really necessary and to be able to stay relevant for the future. You know, I heard it once said that you have three options. Either you digitally transform and stay relevant for the future, or you don't and fade into history like 52% of the companies that used to be on the Fortune 500 since 2000, right? And so really that's a key thing, and we're seeing that really, really being adopted by manufacturers all across the globe. >> Yeah so, Aditi, that's like digital transformation is almost synonymous with business transformation. So is there anything you'd add to what Todd just said? >> Absolutely. Though, I would really add that what really drives Industry 4.0 is the business transformation, what we are able to deliver in terms of improving the manufacturing KPIs and the KPIs for customer satisfaction, right? For example, improving the downtime, you know, or decreasing the maintenance cycle of the equipments, or improving the quality of products, right? So I think these are a lot of business outcomes that our customers are looking at while using Industry 4.0 and the technologies of Industry 4.0 to deliver these outcomes. >> So Aditi, I wonder if I could stay with you. And maybe this is a bit esoteric. But when I first started researching IoT and, and, and Industrial IoT 4.0, et cetera, I felt, you know, while there could be some disruptions in the ecosystem, I kind of came to the conclusion that large manufacturing firms, aerospace defense companies, the firms building out critical infrastructure, actually had kind of an incumbent advantage in a great opportunity. Of course, then I saw on TV, somebody now they're building homes with 3D printers. Its like, blows your mind. So that's pretty disruptive, but, so, but they got to continue. The incumbents have to continue to invest in the future. They're well capitalized. They're pretty good businesses, very good businesses. But there's a lot of complexities involved in kind of connecting the old house to the new addition that's being built, if you will, or this transformation that we're talking about. So my question is, How are your customers preparing for this new era? What are the key challenges that they're facing and the, the blockers, if you will? >> Yeah, I mean the customers are looking at Industry 4.0 for greenfield factories, right? That is where the investments are going directly into building the factories with the new technologies, with the new connectivities, right, for the machines. For example, industrial IoT, having the right type of data platforms to drive computational analytics and outcomes, as well as looking at edge versus cloud type of technologies, right? Those are all getting built in the greenfield factories. However, for the install-based factories, right, that is where our customers are looking at, "How do I modernize these factories? How do I connect the existing machine?" And that is where some of the challenges come in on, you know, the legacy system connectivity that they need to think about. Also, they need to start thinking about cybersecurity and operation technology security, right, because now you are connecting the factories to each other, right? So cybersecurity becomes top of mind, right? So there is definitely investment that is involved. Clients are creating roadmaps for digitizing and modernizing these factories and investments in a very strategic way, right? So perhaps they start with the innovation program, and then they look at the business case, and they scale it up, right? >> Todd, I'm glad Aditi brought up security. Because if you think about the operations technology, you know, folks, historically, they air gapped, you know, the systems. That's how they created security. That's changed. The business came in and said, "Hey, we got to, we got to connect. We got to make it intelligent." So that's, that's got to be a big challenge as well. >> It, it, it absolutely is Dave. And, and you know, you can no longer just segment that because really, to get all of those efficiencies that we talk about, that IoT and Industrial IoT and Industry 4.0 promise, you have to get data out of the factory. But then you got to put data back in the factory. So no longer is it just firewalling everything is really the answer. So you really have to have a comprehensive approach to security, but you also have to have a comprehensive approach to the cloud and what that means. And does it mean a continuum of cloud all the way down to the edge, right down to the factory? It absolutely does because no one approach has the answer to everything. The more you go to the cloud, the broader the attack surface is. So what we're seeing is a lot of our customers approaching this from a, kind of that, that hybrid, you know, "write once, run anywhere" on the factory floor down to the edge. And one of the things we're seeing, too, is to help distinguish between what is the edge, and that, and, and bridge that gap between, like Dave, you talked about IT and OT. And also help that, what Aditi talked about, is the greenfield plants versus the brownfield plants that they call it, that are the legacy ones and modernizing those. Is, it's great to kind of start to delineate. What does that mean? Where's the edge? Where's the IT and the OT? We see that from a couple of different ways. We start to think about really two edges in a manufacturing floor. We talk about an industrial edge that sits, or some people call it a far edge or a thin edge, sits way down on that plan. It consists of industrial hardened devices that do that connectivity. The hard stuff about, "How do I connect to this obsolete legacy protocol and what do I do with it?" And create that next generation of data that has context. And then we see another edge evolving above that, which is much more of a data and analytics and enterprise grade application layer that sits down in the factory itself that helps figure out where we're going to run this. Does it connect to the cloud? Do we run applications on-prem? Because a lot of times that on-prem application is, is, needs to be done because that's the only way that its going to, it's going to work because of security requirements, because of latency requirements, performance, and a lot of times cost. It's really helpful to build that multiple edge strategy because then you kind of, you consolidate all of those resources, applications, infrastructure, hardware, into a centralized location. Makes it much, much easier to really deploy and manage that security. But it also makes it easier to deploy new applications, new use cases, and become the foundation for DXC's expertise and applications that they deliver to our customers as well. >> Todd, how complex are these projects? I mean, I feel like it's kind of the, the digital equivalent of building the Hoover Dam. I mean, it, it, it's, (chuckles) it, it, so. Yeah, how long does a typical project take? I know it varies, but what, you know, what are the critical success factors in terms of delivering business value quickly? >> Yeah, that's a great question in that, in that we're, you know, like I said at the beginning, we, this is not new. Smart factory and Industry 4.0 is not new. It's been, it's, people have been trying to implement the holy grail of smart factory for a long time. And what we're seeing is a switch, a little bit of a switch, or quite a bit of a switch, to where the enterprise and the IT folks are having a much bigger say and have a lot to offer to be able to help that complexity. So instead of deploying a computer here, and a gateway there, and a server there, I mean, you go walk into any manufacturing plant and you can see servers sitting underneath someone's desk or a, or a PC in a closet somewhere running a critical production application. So we're seeing the enterprise have a much bigger say at the table, much louder voice at the table to say, "We've been doing this at enterprise all the time. We, we know how to really consolidate, bring hyper-converged applications, hyper-converged infrastructure, to really accelerate these kind of applications, really accelerate the outcomes that are needed to really drive that smart factory, and start to bring that same capabilities down into the, on the factory floor." That way, if you do it once to make it easier to implement, you can repeat that. You can scale that. You can manage it much easily. And you can then bring that all together because you have the security in one centralized location. So we're seeing manufacturers, yeah, that first use case may be fairly difficult to implement and we got to go down in and see exactly what their problems are. But when the infrastructure is done the correct way, when that, think about how you're going to run that and how are you going to optimize the engineering. Well, let's take that, what you've done in that one factory, and then set. Let's that, make that across all the factories, including the factory that we're in, but across the globe. That makes it much, much easier. You really do the hard work once and then repeat, almost like a cookie cutter. >> Got it. Thank you. Aditi, what about the skillsets available to apply these, to these projects? You got to have knowledge of digital, AI, data, integration. Is there a talent shortage to get all this stuff done? >> Yeah, I mean definitely, a lot. Different types of skillsets are needed from a traditional manufacturing skillset, right? Of course, the basic knowledge of manufacturing is, is important. But the, the digital skillset sets like, you know, IoT, having a skillset in different protocols for connecting the machines, right, that experience that comes with it, data and analytics, security, augmented virtual reality programming. You know, again, looking at robotics and the digital twin. So you know, it's a lot more connectivity software, data driven skillsets that are needed to smart factory to life at scale. And, you know, lots of firms are, you know, recruiting these types of skill, resources with these skillsets to, you know, accelerate their smart factory implementation, as well as consulting firms like DXC Technology and others. We, we, we recruit. We, we train our talent to, to provide these services. >> Got it. Aditi, I wonder if we could stay on you. Let's talk about the partnership between DXC and Dell. What are you doing specifically to simplify the move to Industry 4.0 for customers? What solutions are you offering? How are you working together, Dell and DXC, to, to bring these to market? >> Yeah, Dell and DXC have a very strong partnership. You know, and we work very closely together to, to create solutions, to create strategies, and how we, we are going to jointly help our clients, right? So areas that we have worked closely together is edge compute, right, how that impacts the smart factory. So we have worked pretty closely in that area. We're also looked at vision technologies, you know. How do we use that at the edge to improve the quality of products, right? So we have several areas that we collaborate in. And our approach is that we, we want to bring solutions to our client, and as well as help them scale those solutions with the right infrastructure, the right talent, and the right level of security. So we bring a comprehensive solution to our clients. >> So, Todd, last question, kind of similar but different. You know, why Dell DXC? Pitch me. What's different about this partnership? You know, where do you, are you confident that, you know, you're going to be, deliver the best value to, to customers? >> Absolutely. Great question. You know, there's no shortage of bespoke solutions that are out there. There's hundreds of people that can come in and do individual use cases and do these things. And just, and, and, and that's, that's where it ends. What Dell and DXC Technology together bring to the table is, we do the optimization, the optimization of the engineering of those previously bespoke solutions upfront, together, right? The power of our scalables, enterprise-grade, structured, you know, industry standard infrastructure, as well as our expertise in delivering package solutions that really accelerate with DXC's expertise and reputation as a global, trusted, trusted advisor. Be able to really scale and repeat those solutions that DXC is so really, really good at. And, and Dell's infrastructure, and our, what, 30,000 people across the globe that are really, really good at that, at that scalable infrastructure, to be able to repeat. And then it really lessens the risk that our customers have and really accelerates those solutions. So it's again, not just one individual solutions, it's all of the solutions that not just drive use cases, but drive outcomes with those solutions. >> Yeah, the, you're right, the partnership has gone, I mean, I first encountered it back in, I think it was 2010, May of 2010, we had you, you guys both on theCube. I think you were talking about converged infrastructure. And I had a customer on, and it was, actually a manufacturing customer, was quite interesting. And back then it was, "How do we kind of replicate what's coming in the cloud?" And, and you guys have obviously taken it into the digital world. Really want to thank you for your time today. Great conversation, and love to have you back. >> Thank you so much. >> Absolutely. >> It was a pleasure speaking with you. >> I agree. >> All right, keep it right there for more discussions that educate and inspire on theCube. (bright music) Welcome back to the program and we're going to dig into the number one topic on the minds of every technology organization. That's cybersecurity. You know, survey data from ETR, our data partner, shows that among CIOs and IT decision makers, cybersecurity continues to rank as the number one technology priority to be addressed in the coming year. That's ahead of even cloud migration and analytics. And with me to discuss this critical topic area are Jim Shook, who's the Global Director of Cybersecurity and Compliance Practice at Dell Technologies, and he's joined by Andrew Gonzalez, who focuses on Cloud and Infrastructure consulting at DXC Technology. Gents, welcome. Good to have you. >> Thanks Dave. Great to be here. >> Thank you. >> Jim, let's start with you. What are you seeing from the front lines in terms of the attack surface, and, and how are customers responding these days? >> It's always up and down and back and forth. The bad actors are smart. They adapt to everything that we do. So we're seeing more and more kind of living off the land. They're not necessarily deploying malware. Makes it harder to find what they're doing. And I think though, Dave, we've, we've adapted, and this whole notion of cyber resilience really helps our customers figure this out. And the idea there goes beyond cybersecurity, it's, "Let's protect as much as possible, so we keep the bad actors out as much as we can. But then, let's have the ability to adapt to and recover to the extent that the bad actors are successful." So we're recognizing that we can't be perfect a hundred percent of the time against a hundred percent of the bad actors. Let's keep out what we can, but then recognize and have that ability to recover when necessary. >> Yeah, thank you. So Andrew, you know, I like what Jim was saying about living off the land, of course, meaning using your own tooling against you, kind of hiding in plain sight, if you will. But, and, and as Jim is saying, you, you can't be perfect. But, so given that, what's your perspective on what good cybersecurity hygiene looks like? >> Yeah, so you have to understand what your crown jewel data looks like, what a good copy of a recoverable asset looks like. When you look at an attack, if it were to occur, right, how you get that copy of data back into production. And not only that, but what that golden image actually entails. So, whether it's networking, storage, some copy of a source code, intellectual property, maybe CMBD data, or an active directory, or DNS dump, right? Understanding what your data actually entails so that you can protect it and that you can build out your recovery plan for it. >> So, and where's that live? Where's that gold copy? You put on a yellow sticky? No, it's got to be, (chuckles) you got to be somewhere safe, right? So you have to think about that chain as well, right? >> Absolutely. Yeah. You, so, a lot of folks have not gone through the exercise of identifying what that golden copy looks like. Everyone has a DR scenario, everyone has a DR strategy, but actually identifying what that golden crown jewel data, let's call it, actually entails is one aspect of it. And then where to put it, how to protect it, how to make it immutable and isolated, that's the other portion of it. >> You know, if I go back to sort of earlier part of last decade, you know, cybersecurity was kind of a checkoff item. And as you got toward the middle part of the decade, and I'd say clearly by 2016, it, security became a boardroom issue. It was on the agenda, you know, every quarter at the board meetings. So compliance is no longer the driver, is, is my point. The driver is business risk, real loss of reputation or data, you know, it's, or money, et cetera. What are the business implications of not having your cyber house in order today? >> They're extreme, Dave. I mean the, you know, the bad actors are good at what they do. These losses by organizations, tens, hundreds of millions into the billions sometimes, plus the reputational damage that's difficult to, to really measure. There haven't been a lot of organizations that have actually been put out of business by an attack, at least not directly on, if they're larger organizations. But that's also on the table, too. So you can't just rely on, "Oh we need to do, you know, A, B and C because our regulators require it." You need to look at what the actual risk is to the business, and then come up with a strategy from there. >> You know, Jim, staying with you, one of the most common targets we hear of attackers is to go after the backup corpus. So how should customers think about protecting themselves from that tactic? >> Well, Dave, you hit on it before, right? Everybody's had the backup and DR strategies for a long time going back to requirements that we had in place for physical disaster or human error. And that's a great starting point for resilience capability. But that's all it is, is a starting point. Because the bad actors will, they also understand that you have those capabilities, and, and they've adapted to that. In every sophisticated attack that we see, the backup is a target. The bad actors want to take it out, or corrupt it, or do something else to that backup so that it's not available to you. That's not to say they're always successful, and it's still a good control to have in place because maybe it will survive. But you have to plan beyond that. So the capabilities that we talk about with resilience, let's harden that backup infrastructure. You've already got it in place. Let's use the capabilities that are there like immutability and other controls to make it more difficult for the bad actors to get to. But then as Andrew said, that gold copy, that critical systems, you need to protect that in something that's more secure, which commonly we, we might say a cyber vault. Although, there's a lot of different capabilities for cyber vaulting, some far better than others, and that's some of the things that we focus on. >> You know, it's interesting, but I've talked to a lot of CIOs about this, is prior to the pandemic, they, you know, had their, as you're pointing out, Jim, they had their DR strategy in place, but they felt like they weren't business resilient. And they realized that when we had the forced march to digital. So Andrew, are there solutions out there to help with this problem? Do you guys have an answer to this? >> Yeah, absolutely. So I'm glad you brought up resiliency. We, we take a position that to be cyber resilient, it includes operational resiliency. It includes understanding at the C level what the implication of an attack means, as we stated, and then, how to recover back into production. When you look at protecting that data, not only do you want to put it into what we call a vault, which is a Dell technology that is an offline immutable copy of your crown jewel data, but also how to recover it in real time. So DXC offers a, I don't want to call it a turnkey solution since we architect these specific to each client needs, right, when we look at what client data entails, their recovery point, objectives, recovery time objectives, what we call quality of the restoration. But when we architect these out, we look at not only how to protect the data, but how to alert and monitor for attacks in real time, how to understand what we should do when a breach is in progress, putting together with our security operations centers, a forensic and recovery plan and a runbook for the client, and then being able to cleanse and remediate so that we can get that data back into production. These are all services that DXC offers in conjunction with the Dell solution to protect, and recover, and keep bad actors out. And if we can't keep them out to ensure that we are back into production in short order. >> You know, this, this discussion we've been having about DR kind of versus resilience, and, and you were just talking about RPO and RTO. I mean, it used to be that a lot of firms wouldn't even test their recovery 'cause it was too risky. Or, you know, maybe they tested it on, you know, July 4th or something like that. But, but it, I'm inferring that's changed. I wonder if we could, you know, double click on recovery? How hard is it to, to, to test that recovery, and, and how quickly are you seeing organizations recover from attacks? >> So it depends, right, on the industry vertical, what kind of data. Again, a financial services client compared to a manufacturing client are going to be two separate conversations. We've seen it as quickly as being able to recover in six hours, in 12 hours. In some instances we have the grace period of a day to a couple of days. We do offer the ability to run scenarios once a quarter where we can stand up in our systems the production data that we are protecting to ensure that we have a good recoverable copy. But it depends on the client. >> I really like the emphasis here, Dave, that you're raising and that Andrew's talking about. It's not on the technology of how the data gets protected. It's focused on the recovery. That's all that we want to do. And so the solution with DXC really focuses on generating that recovery for customers. I think where people get a little bit twisted up on their testing capability is, you have to think about different scenarios. So there are scenarios where the attack might be small. It might be limited to a database or an application. It might be really broadly based like the NotPetya attacks from a few years ago. The regulatory environment, we call those attacks severe but plausible. So you can't necessarily test everything with the infrastructure, but you can test some things with the infrastructure. Others, you might sit around on a tabletop exercise or walk through what that looks like to really get that, that recovery kind of muscle, muscle memory so that people know what to do when those things occur. But the key to it, as Andrew said before, have to focus down, "What are those critical applications? What do we need, what's most important? What has to come back first?" And that really will go a long way towards having the right recovery points and recovery times from a cyber disaster. >> Yeah, makes sense. Understanding the value of that data is going to inform you how to, how to respond and how to prioritize. Andrew, one of the things that we hear a lot on theCube, especially lately, is around, you know, IOT, IIOT, Industry 4.0, the whole OT security piece of it. And the problem being that, you know, traditionally, operations technologies have been air gapped, often by design. But as businesses, increasingly they're driving initiatives like Industry 4.0, and they're connecting these OT systems to IT systems. They're, you know, driving efficiency, preventative maintenance, et cetera. So a lot of data flowing through the pipes, if you will. What are you seeing in terms of the threats to critical infrastructure and how should customers think about addressing these issues? >> Yeah, so bad actors, you know, can come in many forms. We've seen instances of social engineering. We've seen, you know, a USB stick dropped in a warehouse. That data that is flowing through the IoT device is as sensitive now as your core mainframe infrastructure data. So when you look at it from a protection standpoint, conceptually, it's not dissimilar from what we've been been talking about where you want to understand, again, what the most critical data is. Looking at IoT data and applications is no different than your core systems now, right? Depending on what your, your business is, right? So when, when we're looking at protecting these, yes, we want firewalls, yes, we want air gap solutions, yes, we want front end protection, but we're looking at it from a resiliency perspective. Putting that data, understanding what what data entails to put in the vault from an IoT perspective is just as critical as as it is for your core systems. >> Jim, anything you can add to this topic? >> Yeah, I think you hit on the, the key points there. Everything is interconnected. So even in the days where maybe people thought the OT systems weren't online, oftentimes the IT systems are talking to them, or controlling them, SCADA systems, or perhaps supporting them. Think back to the pipeline attack of last year. All the public testimony was that the OT systems didn't get attacked directly. But there was uncertainty around that, and the IT systems hadn't been secured. So that caused the OT systems to have to shut down. It certainly is a different recovery when you're shutting them down on your own versus being attacked, but the outcome was the same that the business couldn't operate. So you really have to take all of those into account. And I think that does go back to exactly what Andrew's saying, understanding your critical business services, and then the applications and data and other components that support those and drive those, and making sure those are protected. You understand them, you have the ability to recover them if necessary. >> So guys, I mean, you made the point. I mean, you're right. The adversary is highly capable. They're motivated 'cause the ROI is so, it's so lucrative. It's like this never ending battle that cybersecurity pros, you know, go through. It really is kind of frontline sort of technical heroes, if you will. And so, but sometimes it just feels daunting. Why are you optimistic about the future of, of cyber from the good guy's perspective? >> I think we're coming at the problem the right way, Dave. So that, that focus, I'm so pleased with the idea that we are planning that the systems aren't going to be hundred percent capable every single time, and let's figure that out, right? That's, that's real world stuff. So just as the bad actors continue to adapt and expand, so do we. And I think the differences there, the common criminals, it's getting harder and harder for them. The more sophisticated ones, they're tough to beat all the time. And of course, you've raised the question of some nation states and other activities. But there's a lot more information sharing. There's a lot more focus from the business side of the house and not just the IT side of the house that we need to figure these things out. >> Yeah, to, to add to that, I think furthering education for the client base is important. You, you brought up a point earlier. It used to be a boardroom conversation due to compliance reasons. Now, as we have been in the market for a while, we continue to mature the offerings. It's further education for not only the business itself, but for the IT systems and how they interconnect, and working together so that these systems can be protected and continue to be evolved and continue to be protected through multiple frameworks as opposed to seeing it as another check the box item that the board has to adhere to. >> All right, guys, we got to go. Thank you so much. Great conversation on a, on a really important topic. Keep up the good work. Appreciate it. >> Thanks Dan. >> Thank you. >> All right, and thank you for watching. Stay tuned for more excellent discussions around the partnership between Dell Technologies and DXC Technology. We're talking about solving real world problems, how this partnership has evolved over time, really meeting the changing enterprise landscape challenges. Keep it right there. (bright music) Okay, we hope you enjoyed the program and learned some things about cloud transformation and modernizing your business that will inspire you to action. Now if you want to learn more, go to the Dell DXC partner page shown here, or click on the URL in the description. Thanks for watching everybody and on behalf of our supporters, Dell and DXC, good luck. And as always, get in touch if we can be of any assistance. (bright music)

>> Welcome back to the program. My name is Dave Vellante and in this session we're going to explore one of the more interesting topics of the day. IoT for smart factories and with me are Todd Edmunds, the global CTO of Smart Manufacturing, Edge and Digital Twins, at Dell Technologies. That is such a cool title. (Todd laughs) I want to be you. And Dr. Aditi Banerjee, who's the Vice President General Manager for Aerospace Defense and Manufacturing at DXC Technology. Another really cool title. Folks, welcome to the program. Thanks for coming on. >> Thanks Dave. >> Thank you. Great to be here. >> Well- >> Nice to be here. >> Todd, let's start with you. We hear a lot about Industry 4.0, smart factories, IIoT. Can you briefly explain, like, what is Industry 4.0 all about and why is it important for the manufacturing industry? >> Yeah, sure Dave. You know, it's been around for quite a while and it's got, it's gone by multiple different names. As you said, Industry 4.0, smart manufacturing, industrial IoT, smart factory. But it all really means the same thing. It's really applying technology to get more out of the factories and the facilities that you have to do your manufacturing. So being much more efficient. Implementing really good sustainability initiatives. And so we really look at that by saying, "Okay, what are we going to do with technology to really accelerate what we've been doing for a long, long time"? So it's really not, it's not new. It's been around for a long time. What's new is that manufacturers are looking at this, not as a one-off, two off individual use case point of view, but instead they're saying, "We really need to look at this holistically, thinking about a strategic investment in how we do this." Not to just enable one or two use cases, but enable many, many use cases across the spectrum. I mean, there's tons of 'em out there. There's predictive maintenance and there's OEE, overall equipment effectiveness, and there's computer vision. And all of these things are starting to percolate down to the factory floor, but it needs to be done in a little bit different way. And really to to really get those outcomes that they're looking for in smart factory, or Industry 4.0, or however you want to call it. And truly transform. Not just throw an Industry 4.0 use case out there, but to do the digital transformation that's really necessary and to be able to stay relevant for the future. You know, I heard it once said that you have three options. Either you digitally transform and stay relevant for the future or you don't and fade into history like 52% of the companies that used to be on the Fortune 500 since 2000, right. And so really that's a key thing and we're seeing that really, really being adopted by manufacturers all across the globe. >> Yeah, so Aditi, that's like digital transformation is almost synonymous with business transformation. So is there anything you'd add to what Todd just said? >> Absolutely, though, I would really add that what really drives Industry 4.0 is the business transformation. What we are able to deliver in terms of improving the manufacturing KPIs and the KPIs for customer satisfaction, right. For example, improving the downtime, you know, or decreasing the maintenance cycle of the equipments or improving the quality of products, right. So I think these are lot of business outcomes that our customers are looking at while using Industry 4.0 and the technologies of Industry 4.0 to deliver these outcomes. >> So Aditi, one, if I could stay with you and maybe this is a bit esoteric, but when I first started researching IoT and Industrial IoT 4.0, et cetera, I felt, you know, while there could be some disruptions in the ecosystem, I kind of came to the conclusion that large manufacturing firms, aerospace defense companies, the firms building out critical infrastructure, actually had kind of an incumbent advantage and a great opportunity. Of course, then I saw on TV, somebody now, they're building homes with 3D printers. It like blows your mind. So that's pretty disruptive. But. So, but they got to continue, the incumbents have to continue to invest in the future. They're well capitalized. They're pretty good businesses. Very good businesses. But there's a lot of complexities involved in kind of connecting the old house to the new addition that's being built, if you will. Or there's transformation that we're talking about. So my question is how are your customers preparing for this new era? What are the key challenges that they're facing in the blockers, if you will? >> Yeah, I mean the customers are looking at Industry 4.0 for greenfield factories, right. That is where the investments are going directly into building the factories with the new technologies with the new connectivities, right, for the machines, for example. Industry IoT, Having the right type of data platforms to drive computational analytics and outcomes, as well as looking at edge versus cloud type of technologies, right. Those are all getting built in the greenfield factories. However, for the install-based factories, right, that is where our customers are looking at how do I modernize, right. These factories. How do I connect the existing machine? And that is where some of the challenges come in on, you know, the legacy system connectivity that they need to think about. Also, they need to start thinking about cybersecurity and operation technology security, right, because now you are connecting the factories to each other, right. So cybersecurity becomes top of mind, right. So there is definitely investment that is involved. Clients are creating roadmaps for digitizing and modernizing these factories and investments in a very strategic way, right. So perhaps they start with the innovation program. And then they look at the business case and they scale it up, right. >> Todd, I'm glad Aditi brought up security because if you think about the operations technology, you know folks, historically they air gapped, you know, the systems. That's how they created security. That's changed. The business came in and said, "Hey, we got to connect. We got to make it intelligent." So that's got to be a big challenge as well. >> It absolutely is Dave. And, you know, you can no longer just segment that because really to get all of those efficiencies that we talk about, that IOT and industrial IoT and Industry 4.0 promise, you have to get data out of the factory but then you got to put data back in the factory. So no longer is it just firewalling everything is really the answer. So you really have to have a comprehensive approach to security, but you also have to have a comprehensive approach to the cloud and what that means. And does it mean a continuum of cloud all the way down to the edge, right down to the factory? It absolutely does because no one approach has the answer to everything. The more you go to the cloud, the broader the attack surface is. So what we're seeing is a lot of our customers approaching this from, kind of, that hybrid, you know, write once, run anywhere on the factory floor down to the edge. And one of things we're seeing too is to help distinguish between what is the edge and that. And bridge that gap between, like Dave, you talked about IT and OT, and also help that what Aditi talked about is the greenfield plants versus the brownfield plants, that they call it, that are the legacy ones and modernizing those, is it's great to kind of start to delineate. What does that mean? Where's the edge? Where's the IT and the OT? We see that from a couple of different ways. We start to think about, really, two edges in a manufacturing floor. We talk about an industrial edge that sits, or some people call it a far edge or a thin edge, sits way down on that plant. Consists of industrial hardened devices that do that connectivity, the hard stuff, about how do I connect to this obsolete legacy protocol and what do I do with it? And create that next generation of data that has context. And then we see another edge evolving above that which is much more of a data and analytics and enterprise grade application layer that sits down in the factory itself that helps figure out where we're going to run this. Is... Does it connect to the cloud? Do we run applications on-prem? Because a lot of times that on-prem application is needs to be done because that's the only way it's going to work. Because of security requirements. Because of latency requirements, performance, and a lot of times, cost. It's really helpful to build that multiple edge strategy because then you consolidate all of those resources, applications, infrastructure, hardware, into a centralized location. Makes it much, much easier to really deploy and manage that security. But it also makes it easier to deploy new applications, new use cases, and become the foundation for DXC's expertise in applications that they deliver to our customers as well. >> Todd, how complex are these projects? I mean, I feel like it's kind of the digital equivalent of building the Hoover Dam. I mean, it... So, yeah, how long does a typical project take? I know it varies, but what, you know, what are the critical success factors in terms of delivering business value quickly? >> Yeah, that's a great question in that we're, you know, like I said at the beginning, this is not new smart factory and Industry 4.0 is not new. It's been... It's people have been trying to implement the holy grail of smart factory for a long time. And what we're seeing is a switch, a little bit of a switch or quite a bit of a switch, to where the enterprise and the IT folks are having a much bigger say and have a lot to offer to be able to help that complexity. So instead of deploying a computer here and a gateway there and a server there. I mean, you go walk into any manufacturing plant and you can see servers sitting underneath someone's desk or a PC in a closet somewhere running a a critical production application. So we're seeing the enterprise have a much bigger say at the table. Much louder voice at the table to say, "We've been doing this enterprise all the time. We know how to really consolidate, bring hyper-converged applications, hyper-converged infrastructure, to really accelerate these kind of applications. Really accelerate the outcomes that are needed to really drive that smart factory." And start to bring that same capabilities down into the Mac on the factory floor. That way, if you do it once to make it easier to implement you can repeat that. You can scale that. You can manage it much easily. And you can then bring that all together because you have the security in one centralized location. So we're seeing manufacturers... Yeah, that first use case may be fairly difficult to implement and we got to go down in and see exactly what their problems are. But when the infrastructure is done the correct way, when that... Think about how you're going to run that and how are you going to optimize the engineering. Well, let's take that what you've done in that one factory and then set. Let's that, make that across all the factories including the factory that we're in, but across the globe. That makes it much, much easier. You really do the hard work once and then repeat almost like a cookie cutter. >> Got it, thank you. Aditi, what about the skillsets available to apply these to these projects? You got to have knowledge of digital, AI, data, integration. Is there a talent shortage to get all this stuff done? >> Yeah, I mean, definitely. Different types of skillsets are needed from a traditional manufacturing skillset, right. Of course, the basic knowledge of manufacturing is important. But the digital skillsets, like, you know, IoT. Having a skillset in different protocols for connecting the machines, right. That experience that comes with it. Data and analytics, security, augmented virtual reality, programming. You know, again, looking at robotics and the digital twin. So, you know, it's a lot more connectivity software data-driven skillsets that are needed to smart factory to life at scale. And, you know, lots of firms are, you know, recruiting these types of resources with these skillsets to, you know, accelerate their smart factory implementation as well as consulting firms like DXC technology and others. We recruit. We train our talent to provide these services. >> Got it. Aditi, I wonder if we could stay on you. Let's talk about the partnership between DXC and Dell. What are you doing specifically to simplify the move to industry 4.0 for customers? What solutions are you offering? How are you working together, Dell and DXC, to bring these to market? >> Yeah, I... Dell and DXC have a very strong partnership, you know, and we work very closely together to create solutions, to create strategies, and how we are going to jointly help our clients, right. So. Areas that we have worked closely together is edge compute, right. How that impacts the smart factory. So we have worked pretty closely in that area. We're also looked at vision technologies, you know. How do we use that at the edge to improve the quality of products, right. So we have several areas that we collaborate in and our approach is that we want to bring solutions to our client and as well as help them scale those solutions with the right infrastructure, the right talent, and the right level of security. So we bring a comprehensive solution to our clients. >> So, Todd, last question. Kind of similar but different. You know, why Dell DXC? Pitch me. What's different about this partnership? You know, where are you confident that, you know, you're going to deliver the best value to customers? >> Absolutely, great question. You know, there's no shortage of bespoke solutions that are out there. There's hundreds of people that can come in and do individual use cases and do these things and just... And that's where it ends. What Dell and DXC Technology together bring to the table is we do the optimization of the engineering of those previously bespoke solutions upfront, together. Right. The power of our scalables, enterprise grade, structured, you know, industry standard infrastructure as well as our expertise in delivering package solutions that really accelerate with DXC's expertise and reputation as a global trusted advisor. Be able to really scale and repeat those solutions that DXC is so really, really good at. And Dell's infrastructure and our, what, 30,000 people across the globe that are really, really good at that scalable infrastructure to be able to repeat. And then it really lessens the risk that our customers have and really accelerates those solutions. So it's, again, not just one individual solutions. It's all of the solutions that not just drive use cases but drive outcomes with those solutions. >> Yeah, you're right. The partnership has gone... I mean, I first encountered it back in, I think, it was 2010, May of 2010. We had you guys both on the queue... I think we were talking about converged infrastructure and I had a customer on, and it was actually manufacturing customer. Was quite interesting. And back then it was how do we kind of replicate what's coming in the cloud? And you guys have obviously taken it into the digital world. Really want to thank you for your time today. Great conversation. And love to have you back. >> Thank you so much. >> Absolutely. >> It was a pleasure speaking with you. >> I agree. >> All right, keep it right there for more discussions that educate and inspire on theCUBE.

>>Welcome back to super cloud 22, our inaugural event. It's a pilot event here in the cube studios we're live and streaming virtually until we do it in person. Maybe next year. I'm John fury, host of the cube with Dave Lon two great guests, distinguished engineers managers, CTOs investors. Mariana Tessel is a CTO of Intuit ins Ray founder of vertex ventures. Both have a lot of DNA. Founder allow cloud here with mark Andre and Ben Horowitz, a variety of other great ventures you've done. And now you're an investor. Yep. Maria, you've been a seasoned CTO, VP of engineering, VMware Docker Intuit. Now thanks for joining us. >>Absolutely. >>So super cloud is a, is a thing. And apparently it's got a lot of momentum and you guys got stats over there at, at Intuit in, so you're investing and we were challenged on super cloud. Our initial thesis was you build on the clouds, get all that leverage like snowflake, you get a good differentiation and then you compete and then move to other clouds. Now it's becoming a thing where I can do this. Every enterprise could possibly do it. So I want to get your guys thoughts on what you think of super cloud concept and where are the holes in it, what needs to be defined. And so we'll start with you. You've done a lot of cloud things in your day. What >>Do you think? Yeah, it's the whole cloud journey started with a desire to consolidate and desire to actually provide uniformity and, and standards driven ways of doing things. And I think Amazon was a leader there. They helped kind of teach everybody else. You know, when I was in loud cloud, we were trying to do it with proprietary stacks just wouldn't work. But once everyone standardized upon Unix and you know, the chip sets no longer became as relevant. They did a lot of good things there, but what's happened since then is now you've got competing standards at the API layer at the interface layer no longer at the chip set layer, no longer at the operating system layer. Right? So the evolution of the, the, the battles are still there. When you talk about multicloud and super cloud, though, like one of the big things you have to keep in mind is latency is not free. Latency is very expensive and it's getting even more expensive now with, with multi-cloud. So you have to really understand where the separations of boundaries are between your data, your compute, and, and the network is just there as a facilitator to help binding compute and data. Right? And I think there's a lot of bets being made across different vendors like CloudFlare Akamai, as well as Amazon Google Microsoft in terms of how they think we should take computing either to the edge, from the core or back and forth. >>These, this is structural change. I mean, this is structural, >>It's desired by incumbents, but it's not something that I'm seeing from the consumption. I'd love to hear, hear from our end's per perspective, from a consumption point of view, like how much edge computing really matters. Right. >>Mario. >>So I think there's like, there's kind of a, a story of like two, like it's kind of, you can cut it for both edges. No, no pun intended on one end. It is really simplifying to actually go into like a single cloud and standardize on it and just have everything there. But I think what over time companies find is that they end up in multiple clouds, whether like, you know, through acquisitions or through like needing to use a service in another cloud. So you do find yourself in a situation where you have multi multi-cloud and you have to kind of work through it and understand how to make it all like work and latency is an issue, but also for many, many workloads, you can work around it and you can make it work where you have workloads that actually span multiple vendors and clouds. You know, again, having said that, I would say the world is such, that is still a simplifying assumption. When if you go to a single cloud, it's much easier to just go and, and bet on that >>Easier in terms of everything's integrated, IAS works with SAS, they solve a lot of problems. >>Correct. And you can do like for your developers, you can actually provide an environment that's super homogenous, simple. You can use services easily up and down the stack. And, you know, we, we actually made that deliberate decision. When we started migrating to the cloud at the beginning, it was like, oh, let's do like hybrid we'll, you know, make it, so it work anywhere. It was so complicated. It was not worth it. >>When was the, when did you give up, what was the moment? Was there a flash point where you said, oh, this is terrible. This is >>Dead. Yeah. When, when we started to try to make it interoperable and you just see what it requires to do that and the complexity of the architecture that it just became not worth it for the gains you have. >>So speaking obviously as a SAS provider, right. So it just doesn't, it didn't make business case sense for you guys to do that. So it was super cloud. Then an infrastructure thing we just heard from Ben wa deja VI that they're not, they're going beyond instantiating their, their data cloud. They're actually running, you know, their own little snow grid. They called it. And, and then when I asked him, well, what about latency? He said, well, we copied data over, you know, so, okay. That's you have to do, but that's a singular experience with the same governance or the same security. Just wasn't worth it for you guys is what I'm hearing. >>Correct. But again, like for some workload or for some services that we want to use, we are gonna go there and we are gonna then figure out what is the work around the latency issue, whether it's like copy or, you know, redundancy. >>Well, the question I have Dave on snowflake is maybe the question for you and in the panel is snowflake a tan expansion opportunity, or is there a technical reason to go to other clouds? >>I think they wanted to leverage the hyperscale infrastructure globally. And they said that they're out there, it's a free gift. We're gonna go take it. I, I think it started with we're on AWS. Do you think? And then we're on Azure and then we're on Google. And then they said, why don't we just connect all these and make it a singular experience? And yeah, I guess it's a TA expansion as a differentiator and it's, it adds value. Right. If I can share data across that global network, >>We have customers on Azure now, >>Right? Yeah. Yeah. Of course. >>You guys don't need to go CP. What do you think about that? >>Well, I think Snowflake's in a good position cuz they work mostly with analytical workloads and you have capacity. That's always gonna increase like no one subtracts, their analytical workload like ever, right. So there was just compounded growth is like 50% or 80% for, you know, many enterprises despite their best intentions, not to collect more data, they just can't stop doing it. So it's different than if you're like an Oracle or a transactional database where you don't have those, you know, like kind of infinite growth paths. So Snowflake's gonna continue to expand footprint their customers. They don't mind as long as you, they can figure out the, the lowest cost on denominator for, for that. >>Yeah. So it makes sense to be in all the clouds >>For them, for, for them, for sure. Yeah. >>But, but, but Oracle just announced with Microsoft what I would call super cloud, a, a cross cloud database service running on OCI and Azure with very low latency and a database that looks like a, the singular experience. Yeah. With, with a PAs layers >>That lost me after OCI that's >>Okay. You know, but that's the, that's the, the BS answer for all U VCs. The do nobody develops on Oracle? Well, it's a 240 billion market cap company. Show me who you all want be. >>We're gonna talk about SRDF and em C next, you >>All want Oracle. So there we go. You throw that into, you all want Oracle to buy your companies, your funding, you know, cause, cause we all wanna be like Oracle with that kinda cash flow. But, but anyway, >>Here's, here's one thing that I'm noticing that is gonna be really practical. I think for companies that do run SA is because like, you know, you have all these solutions, whether it's like analytics or like monitoring or logging or whatever. And each one of them is very data hungry and all of them have like SAS solutions that end up copy the data, moving data to their cloud, and then they might charge you by the size of your data. It does become kind of overwhelming for companies to use that many tools and basically maybe have that data kind of charge for it, multiple places because you use it for different purposes or just in general, if you have a lot of data, you know, that that is becoming an issue. So that's something that I've noticed in our, in our own kind of, you know, a world, but it's just something that I think companies need to think about how they solve because eventually a lot of companies will say, I cannot have all these solutions, so there's no way I'm gonna be willing to have so many copies of the data and actually pay for that. >>So many times, just something to think about. >>But one of the criticisms of the super cloud concept is that it's just SAS. If I'm running workload on prem and I, and I've got, you know, a connection to the cloud, which you probably do, that's, that's SAS, what's, what's the big deal and that's not anything new or different. So I'd love to get your thoughts on that. But Goldman Sachs, for instance, just announced the service last reinvent with AWS, connecting their tools, their data, and their software from on-prem to AWS, they're offering it as a service. I'm like, Hmm. Kind of looking like Supercloud, but maybe it's just SAS. >>It could be. And like, what I'm talking about is not so much like, you know, like what you wanna connect your data. But the idea is like a lot of the providers of different services, like in the past and, and like higher layer, they're actually COPI the data. They need the data in their cloud or their solution. And it just becomes complicated and expensive is, is kind of like my point. So yes, connecting it like for you to have the data in one place and then be able to connect to it. I think that is a valid, if, if that's kinda what you think about as a super cloud, that is a valid need, I think that companies will >>Have where developers actually want access to tools that might exist. >>Also the key is developers, right? Yeah. Developers decide all decisions, not database on administrators, not, you know, a hundred percent security engineers, not admins. So what's really interesting is where are the developers going next? If you look at the current winners in the current ecosystem, companies like MongoDB, I mean, they capture the minds of yeah. The JavaScript, you know, no JS developers absolutely very early on. And I started catch base and I could tell you like the difference was that capture motion was so important. So developers are basically used to this game-like experience now where they want to see tools that are free, whether it's open source or not, they actually don't care. They just want, and they want it SAS. They want it SAS delivered on demand. Right. And pay as you go. And so there's a lot of these different frameworks coming out next generation, no code, low code, whether it's Java, JavaScript, rust, you know, whatever, you know, go Lang. And there's a lot of people fighting religious wars about how to develop the next kind of modern pattern design pattern. Okay. And that's where a lot of excitement is how we look at like investment opportunities. Like where are those big bets who are, you know, frustrated developers, who are they frustrated, what's wrong with their current environment? You know, do they really enjoy using Kubernetes or trying to use Kubernetes? Yeah. Right. Like developers have a very different view than operator, >>But you mentioned couch base. I mean, I look at couch base what they're doing with Capellas as a form of Supercloud. I mean, I think that's an excellent, they're bringing that out to the edge. We're gonna hear later on from someone from couch base. That's gonna talk about that now. It's kind of a lightweight, you know, sort of, it's gonna be a, a synchronization, but it's the beginning >>A cool new venture deal that I'm not in, but was like duck DB. I'm like, what's duck DB like, well, it's an Emory database that has like this like remote store thing. I'm like, okay, that sounds interesting. Like let's call Mike Olson cuz that sounds like sleepy cat redone red distributed world. But like it's, it's like there's a lot of people refactoring design patterns that we're all grew up with since the popup days of, you know, typical round. Right? >>Yeah. That's the refactory I think that's the big pattern. So I have to ask you guys, what are you guys investing in? We've got a couple minutes left to chat about that. What are you investing at into it from a, from a, a CTO engineering perspective and what are you investing in that feels super cloud like to you? >>Well, the, the thing that like I'm focused on is to make sure that we have absolutely best in the world development environment for our engineers, where it's modern, it's easy to use and it incorporates as many things as we can into that environment. So the engineers don't have to think about it. Like one big example would be security and how we incorporated that into development environment. So again, the engineers don't have to bother with trying to think through how they secure their workloads and every step of the way their other things that we incorporated, whether it's like rollbacks or monitoring or, you know, like baly enough other things. But I think that's really an investment that has panned off for us. We actually started investing in development environment several years ago. We started measure our development velocity and we, it actually went up by six X justly investing. So >>User experience, developer experience and productivity pretty much right. >>Yeah. AB absolutely. Yeah. That's like a big investment area for us that, you know, cloud cloud >>Sounds like super cloudlike factor and I'm assuming it's you're on AWS. >>We are mostly on AWS. Yes. >>And so what are you investing in that from a VC money doling out standpoint? That feels super cloudlike >>So very similar to what we just touched on a lot of developer tool experiences. We have a company that we've invested in called ops level that the service catalogs it's, it's helping, you know, understand your, where your services live and how they could be accessed and, and you know, enterprise kind of that come with that. And then we have a company called Lugo that helps you do serverless debugging container debugging, cuz it turns out debugging distributed, you know, applications is a real problem right now just you can only do so much by log tracing, right? We have a company haven't announced yet that's in the web assembly space. So we're looking at modernizing the next generation past stack and throwing everything out the window, including Java and all of the, you know, current prebuilt components because turns out 90% of enterprise workloads are actually not used. They're they're just policy code. You compiled with they're sitting there as vulnerabilities that no one's actually accessing, but you still have to compile with all of it. So we have a lot of bloatware happening in the enterprise. So we're thinking about how do you skinny that up with the next generation paths that's enterprise capable with security context and frameworks >>Super pass. >>Well, yeah, super pass. That's a kind of good way to, well, is >>It, is it a consistent developer experience across clouds? >>It is. And, and, and, and web assembly is a very raw standard if you can call it that. I mean it's, but it's supported by every modern browser, every major platform, vendor cloud, and Adobe and others, and are using it for their uses. And it's not just about your edge browser compute. It's really, you can take the same framework and compile it down to server side as well as client site, just like JavaScript was a client side tool before it became node. Right. Right. So we're looking at that as a very interesting opportunity. It's very nascent. Yeah. >>Great patterns. Yeah. Well, thanks so much for spending the time outta your busy day. Ariana. Thanks for your commentary. Appreciate your coming on the cubes first in IGUR super cloud event, pilot. Thanks for, for sharing. Thanks for having, thanks for having us. Okay. More coverage here. Super cloud 2022. I'm Jeff David Alane stay with us. We got our cloud ARA panel coming up next.

(upbeat music) >> We're back with Steve McDowell, the Principal Analyst for Data & Storage at Moor Insights and Strategy. Hey Steve, great to have you on. Tell us a little bit about yourself. You've got a really interesting background and kind of a blend of engineering and strategy and what's your research focus? >> Yeah, so my research, my focus area is data and storage and all the things around that, whether it's On-Prem or Cloud or, you know, software as a service. My background, as you said, is a blend, right? I grew up as an engineer. I started off as an OS developer at IBM. I came up through the ranks and shifted over into corporate strategy and product marketing and product management, and I have been doing working as an industry analyst now for about five years at Moor Insights and Strategy. >> Steve, how do you see this playing out in the next three to five years? I mean, cloud got it all started, it's going to snowballing. You know, however you look at it percent of spending on storage that you think is going to land in as a service. How do you see the evolution here? >> IT buyers are looking at as a service and consumption base is, you know, a natural model. It extends the data center, brings all of the flexibility all of the goodness that I get from public cloud, but without all of the downside and uncertainty on cost and security and things like that, right, that also come with the public cloud and it's delivered by technology providers that I trust and that I know, and that I worked with, you know, for, in some cases, decades. So, I don't know that we have hard data on how much adoption there is of the model, but we do know that it's trending up, you know and every infrastructure provider at this point has some flavor of offering in the space. So, it's clearly popular with CIOs and IT practitioners alike. >> So Steve, organizations are at a they're different levels of maturity in their, their transformation journeys, and of course, as a result, they're going to have different storage needs that are aligned with their bottom line business objectives. From an IT buyer perspective, you may have data on this, even if it's anecdotal, where does storage as a service actually fit in and can it be a growth lever? >> It can absolutely be a growth leader. It gives me the flexibility as an IT architect to scale my business over time without worrying about how much money I have to invest in storage hardware. Right? So I, I get kind of, again, that cloud like flexibility in terms of procurement and deployment, but it gives me that control by oftentimes being on site within my premise, and then I manage it like a storage array that I own. So, you know, it's beautiful for for organizations that are scaling and it's equally nice for organizations that just want to manage and control cost over time. So, it's a model that makes a lot of sense and fits and certainly growing in adoption and in popularity. >> How about from a technology vendor perspective? You've worked for in the tech industry for companies? What do you think is going to define the winners and losers in this space? If you running strategy for a storage company, what would you say? >> I think the days of of a storage administrator managing, you know, rate levels and recovering and things of that sort are over, right? What these organizations like Pure delivering but they're offering is simplicity. It's a push button approach to deploying storage to the applications and workloads that need it, right? It becomes storage as a utility. So, it's not just the, you know the consumption based economic model of as a service. It's also the manageability that comes with that or the flexibility of management that comes with that. I can push a button, deploy bites to you know a workload that needs it, and it just becomes very simple, right, for the storage administrator, in a way that, you know kind of old school On-Prem storage can't really deliver. >> You know, I want to, I want to ask you, I mean I've been thinking about this because again, a lot of companies are, are you know, moving, hopping on the as a service bandwagon. I feel like, okay, in and of itself, that's not where the innovation lives. The innovation is going to come from making that singular experience from On-Prem to the clouds across clouds maybe eventually out to the edge. Do you, where do you see the innovation in as a service? >> Well, there's two levels of innovation, right? One, is business model innovation, right? I now have an organizational flexibility to build the infrastructure to support my digital transformation efforts, but on the product side and the offering side, it really is as you said, it's about the integration of experience. Every enterprise today touches a cloud in some way, shape or form. Right, I have data spread, not just in my data center, but at the edge, oftentimes in a public cloud, maybe a private cloud. I don't know where my data is, and it really lands on the storage providers to help me manage that and deliver that manageability experience to to the IT administrators. So, when I look at innovation in this space, you know, it's not just a a storage array and rack that I'm leasing, right, this is not another lease model. It's really fully integrated, you know end to end management of my data and yeah and all of the things around that. >> Yeah, so to your point about a lease model is if you're doing a lease, you know, yeah. You can shift CapEx to OPEX, but you're still committed to you have to over provision, whereas here and I wanted to ask you about that. It's an interesting model, right, because you got to read the fine print. Of course the fine print says you got to commit to some level typically, and then if, you know, if you go over you you charge for what you use and you can scale that back down and that's got to be very attractive for folks. I wonder if you we'll ever see like true cloud like consumption pricing, that has two edges to it, right? You see consumption based pricing in some of the software models and you know yeah, people like it, the, the lines of business maybe because they're paying in by the drink, but then procurement hates it because they don't have predictability. How do you see the pricing models? Do you see that maturing or do you think we're sort of locked in on, on where we're at? >> No, I do see that maturing, right? And when you work with a company like Pure to understand their consumption base and as a service and you know, when you work with a company like Pure to understand their consumption base and as a service offerings, it really is sitting down and understanding where your data needs are going to scale. Right? You buy in at a certain level, you have capacity planning. You can expand if you need to. You can shrink if you need to. So, it really does put more control in the hands of the IT buyer than, well certainly then traditional CapEx based On-Prem, but also more control than you would get, you know working with an Amazon or an Azure. >> Well the next 10 years, it ain't going to be like the last 10 years. Thanks Steve! We'll leave it there for now. Love to have you back. Look at, keep it right there. You don't want to miss this next segment where we dig into the customer angle. You're watching theCube production of At Your Storage Service, brought to you by PureStorage. One more. Okay, thanks Steve! We'll leave it there for now. I'd love to have you back. Keep it right there, At Your Storage Service continues in a moment. You're watching theCube. (upbeat music)

>>When AWS introduced the modern cloud in 2006, many people didn't realize the impact that it would have on the industry, but some did see the future of an as a service economy coming. I mean, SAS offerings came out several years before. And the idea of applying some of these concepts to infrastructure and simplifying deployment and management, you know, kinda looked enticing to a lot of customers and a subscription model, or, but yet a consumption model was seen as a valuable proposition by many customers. Why not apply it to infrastructure? And why should the hyperscalers have all the fun welcome to at your storage service? My name is Dave ante. And as an analyst at the time, I was excited about the, as a service trend early on. And one of the companies that caught my attention back in the beginning of last decade was pure storage. >>Pure not only was delivering cloud- simplicity, but it's no forklift approach to infrastructure was ahead of its time. And that's why we're here today to dig into what's happening with the, as a service trends that we see popping up all over the world today, we're gonna dig into three sessions with noted experts in the field. First pre Darie is the general manager of the digital experience business unit at pure storage. He's gonna join us. And then we bring in Steve McDowell, Steve's a senior analyst for data and storage at more insights and strategy, a well known consultancy and analyst firm. And finally, we close with Amil sta Emil is the chief commercial officer and chief marketing officer at open line, open lines, a managed service provider. They serve the mid-market and Emil's got a very wide observation space. He's gonna share what he's seeing with customers. So sit back and enjoy the show. >>The cloud has popularized many useful concepts in the past decade, working backwards from the customer two pizza teams, a DevOps mindset, the shared responsibility model in security. And of course the shift from CapEx to OPEX and as a service consumption models. The last item is what we're here to talk about today. Pay for consumption is attractive because you're not over provisioning. At least not the way you used to you'd have to buy for peak capacity events, but there are always two sides to every story and well pay for use more closely ties. It consumption to business value procurement teams. Don't always love the uncertainty of the cloud bill each month, but consumption pricing. And as a service models are here to stay in software and hardware. Hello, I'm Dave ante and welcome to at your storage service made possible by pure storage. And with me is Pash DJI. Who's the general manager of the digital experience business unit at pure Pash. Welcome to the program. >>Thanks Dave. Thanks for having me. >>You bet. Okay. We've seen this shift to, as a service, the, as a service economy, subscription models, and this as a service movement have gained real momentum. It's it's clear over the past several years, what's driving this shift. Is it pressure from investors and technology companies that are chasing the all important ARR, their annual recurring revenue stream? Is it customer driven? Give us your insights. >>Well, look, um, I think we'll do some definitional stuff first. I think we often mix the definition of a subscription and a service, but, you know, subscription is, Hey, I can go for pay up front or pay as I go. Service is more about how do I not buy something just by the outcome. So, you know, the concept of delivering storage as a service means, what do you want in storage performance, capacity availability? Like that's what you want. Well, how do you get that without having to worry about the labor of planning capacity management, those labor elements are what's driving it. So I think in the world where you have to do more with less and in a world where security becomes increasingly important, where standardization will allow you to secure your landscape against ransomware and those types of things, those trends are driving the ation of storage and the only way to deliver that is storage as a service. >>So that's, that's good. You maybe thinking about it differently than some of the other companies that I talked to, but so you, you, you've made inroads here pretty big inroads actually, and changed the thinking in enterprise data storage with a huge emphasis on simplicity. That's really pures rayon Detra. How does storage as a service fit into your innovation agenda overall? >>Well, our innovation agenda started, as you mentioned with the simplicity, you know, a decade ago with the evergreen architecture, that architecture was beyond the box. How do you go ahead and say, I can improve performance or capacity as I need it? Well, that's a foundational element to deliver a service because once you have that technology, you can say, oh, you know what? You've subscribed to this performance level. You want to raise your performance level and yes, that'll be a higher dollar per gig or dollar per terabyte. But how do you do that without a data migration? How do you do that with a non disruptive service change? How do you do that with a delivery via a software update, those elements of non disruptive updates. When you think SAS, Salesforce, you don't know when Salesforce doesn't update, you don't know when they're increasing something, adding a new capability just shows up. It's not a disruptive event. So to drive that standardization and sation and service delivery, you need to keep that simplicity of delivery first and foremost, and you can't allow, like, if the goal was, I want to change from this service tier to that service tier and a person needed to show up and do a day data migration, that's kind of useless. You've broken the experience of flexibility for a customer. >>Okay. So I like the Salesforce analogy, but I wanna jump out, do a little side for a second. So I I've gotta, I've gotta make some commitment to pure, right. Some baseline commitment. And if I do, then I can dial up and pay for what I use and I can dial it down. Correct? Correct. Okay. I can't do that with Salesforce. <laugh> right. I could dial up, but then I'm stuck with those licenses. So you have a better model in Salesforce. I would argue. Okay. Yeah, >>I would, I would agree with that. >>Okay. So, and I gotta pay for everything up front anyway. Um, let's go back. I was kind of pushing at you a little bit at my upfront, you know, about, you know, the ARR model, the, the all important, you know, financial metric, but let's talk from the customers standpoint. What are the benefits of consuming storage as a service from your customer's perspective? >>Well, one is when you start your storage journey, do you really know what you need? And I would argue most of the time people are guessing, right? It's like, well, I think I need this. This is the performance I think I need. Or this is the capacity I think I need. And, you know, with the scientific method, you actually deploy something and you're like, do I need more? Do I need less? You find out as you're deploying. So in a storage as a service world, when you have the ability to move up performance levels or move out capacity levels, and you have that flexibility, then you have the ability to just to meet demand as you deploy. And that's the most important element of meeting business needs today. The applications you deploy are not in your control when you're providing storage to your end consumers. >>Yeah. They're gonna want different levels of storage. They're gonna want different performance thresholds. That's kind of a pay, you know, pay for performance type culture, right? You can use HR analogies for it. You pay for performance. You want top talent, you pay for it. You want top storage performance, you pay for it. Um, you don't, you can pay less and you can actually get lower performance, tiers, not everything is a tier one application. And you need the ability to deploy it. But when you start, how do you know the way your end customers are gonna be consuming? Or do you need a dictated upfront? Cause that's infrastructure dictating business inflexibility, and you never want to be in that position. >>I, I got another analogy for you. It's like, you know, we do a lot of hosting at our home and you know, like Thanksgiving, right? And you go to the liquor store and say, okay, what should I get? Should we get red wine? We gotta go white wine. We gotta get some beer. Should I get bubbles? Yeah, I get some bubbles. Cause you don't know what people are gonna have. And so you over provision everything <laugh> and then there's a run on bubbles and you're like, ah, we run outta bubbles. So you just over buy, but there's a liquor store that actually will take it back. So I gotta do business with those guys every time. Cuz it's way more flexible. I can dial up capacity or can dial up performance and dial it back down if I don't use it >>Or you or you're gonna be drinking a lot more the next few weeks. >>Yeah, exactly. Which is the last thing you want. Okay. So let's talk about how pure kind of meets this as a service demand. You've touched upon your, your differentiators from others in the market. Um, you know, love to hear about the momentum. What, what are you seeing out there? >>Yeah. Look, our business is growing well, largely built on, you know, what customers need. Um, specifically where the market is at today is there's a set of folks that are interested in the financial transformation of CapEx to OPEX, where like that definitely exists in the industry around how do I get a pay use model? The next kind of more advanced customer is interested in how do I go ahead and remove labor to deliver storage? And a service gets you there on top of a subscription. The most sophisticated customer says, how do I separate storage production with consumption and production of storage. Being a storage producer should be about standardization. So I could do policy based management. Why is that important? You know, coming back to some of the things I said earlier in the world where ransomware attacks are common, you need the standardized security policies. >>Linux has new vulnerabilities every, every other day, like find 2, 2, 3 critical vulnerabilities a week. How do you stay on top of it? The complexity of staying on top of it should be, look, let's standardize and make it a vendor problem. And assume the vendor's gonna deliver this to me. So that standardization allows you to have business policies that allow you to stay current and modern. I would argue in, you know, the traditional storage and appliance world, you buy something and the day a, the day after you buy it, it's worthless. It's like driving a car off a lot, right? The very next day, the car's not worth what it was when you bought it. Storage is the same way. So how do you ensure that your storage stays current? How do you ensure that it gets like a fine line that gets better, better with age? Well, if you're not buying storage and you're buying a performance SLA, it's up to the vendor to meet that SLA. So it actually never gets worse over time. This is the way you modernize technology and avoid technology debt as a customer. >>Yeah. I mean, just even though words you're using in the way you're thinking about this precaution, I think are, are, are different. Uh, and I love the concept of essentially taking my labor cost and transferring them to pures R and D I mean, that's essentially what you're talking about here. Um, so let's, let's, let's stick with the, the, the tech for a minute. What do you see as new or emerging technologies that are helping accelerate this shift toward the, as a service economy? >>Well, the first thing is I always tell people, you can't deliver a service without monitoring, because if you can't monitor something, how you're gonna know what your, whether you're meeting your service level obligation, right? So everything starts with data monitoring. The next step layering on the technology. Differentiation is if you need to deliver a service level, OB obligation on top of that data monitoring, you need the ability to flexibly, meet whatever performance obligations you have in a tight time window. So supply chain and being able to deliver anywhere becomes important. So if you use the analogy today of how Tesla works or a IOT system works, you have a SaaS management that actually provides instructions that push pushes those instructions and policies to the edge. In Tesla's case, that happens to be the car it'll push software updates to the car. It'll push new map updates to the car, but the car is running independently. >>It's not like if the car becomes disconnected from the internet, it's gonna crash and drive you off the road in the same way. What if you think about storage as something that needs to be wherever your application is? So people think about cloud as a destination. I think that's a fallacy. You have to think about the world in the world in the view of an application, an application needs data, and that data needs to sit in storage wherever that application sits. So for us, the storage system is just an edge device. It can be sitting in your data center, it can be sitting in a Equinix. It can be sitting in hosted, an MSP can run. It can, can even be sitting in the public cloud, but how do you have central monitoring and central management where you can push policies to update all those devices? >>Very similar to an I IOT system. So the technology advantage of doing that means that you can operate anywhere and ensure you have a consistent set of policies, a consistent set of protection, a consistent set of, you know, prevention against ransomware attack, regardless of your application, regardless of, uh, you know, where it sits, regardless of what content in you're on that approach is very similar to the way the T industry has been updating and monitoring edge devices, nest, thermostats, you know, Tesla cars, those types of things. That's the thinking that needs to come to. And that's the foundation on which we built PI as a service. >>So that implies, or at least I infer that you've obviously got control of the experience on Preem, but you're extending that, uh, into AWS, Google Azure, which suggests to me that you have to hide the underlying complexity of the primitives and APIs in that world. And then eventually, actually today, cuz you're treating everything like the edge out to the edge, you know, maybe, maybe mini pure at some point in time. But so I call that super cloud that abstraction layer that floats above all the clouds on-prem and adds that layer of value. And is this singular experience? What you're talking about pushing, you know, policy throughout, is that the right way to think about it and how does this impact the ability to deliver true storage as a service? >>Oh, uh, that's absolutely the right way of thinking about it. The things that you think about from a, an abstraction kind of fall in three buckets, first, you need management. So how do you ensure a consistent management experience creating volumes, deleting volumes, creating buckets, creating files, creating directories, like management of objects and create a consistent API across the entire landscape. The second one is monitoring, how do you measure utilization and performance obligations or capacity obligations or uh, you know, policy violations, wherever you're at. And then the third one is more of a business one, which is procurement because you can't do it independent of procurement. Meaning what happens when you run out, you need to increase your reserve commits. Do you want to go on demand? How do you integrate it into company's procurement models, such that you can say, I can use what I need and any, it's not like every change order is a request of procurement. That's gonna break an as a service delivery model. So to get embedded in a customer's landscape where they don't have to worry about storage, you have to provide that consistency on management, monitoring and procurement across the tech. And yes, this is deep technology problems, whether it's running our storage on AWS or Azure or running it on prem or, you know, at some point in the future, maybe even, um, you know, pure mini at the edge. Right. <laugh> so, you know, tho all of those things are tied to our pure, a service delivery. >>Yeah, technically non-trivial but uh, Hey, you guys are on it. Well, we gotta leave it there. Pash. Thank you. Great stuff. Really appreciate your time. >>All right. Thanks for having me, man. >>You're very welcome. Okay. In a moment, Steve McDowell from more insights and strategies, it's gonna give us the analyst perspective on, as a service, you're watching the cube, the leader in high tech enterprise coverage. >>Why are customers making the change to pure as a service >>Other vendors, offering flexible consumption models will promise you the world on the surface. It's just what you need. But then you notice the asterisk that dreaded fine print. That turns just what you need into long-term commitments, disruptive upgrades and unpredictable costs, pure storage, launched pure as a service to provide the flexibility to respond to your ever changing needs. With clear per unit costs, no large upfront purchases and no asterisks. A usage based model should be simple, innovative, and adapt with the changing market. Unlike other vendors, pure is offering exactly that with options, for service tiers and short term contracts in a single unified subscription that allows you to improve your discounts over time. Pure makes sure you can grow and upgrade without ever taking your environment offline and without the constant worry of hidden costs with complete billing, transparency, unlike any other, you only pay for what you use and pure one helps track and predict demand from day to day, making sure you never outgrow your storage. So why are customers making the change to pure as a service convenient solutions with unlimited potential without the dreaded fine print? It's as simple as that, >>We're back with Steve McDowell, the principal analyst for data and storage at more insights and strategy. Hey Steve, great to have you on, tell us a little bit about yourself. You got a really interesting background and kind of a blend of engineering and strategy and what's your research focus? >>Yeah, so my research, my focus area is data and storage and all the things around that, right? Whether it's OnPrim or cloud or, or, or, you know, software as a service. Uh, my background, as you said, is a blend, right? I grew up as an engineer. I started off as an OS developer at IBM. Uh, came up through the ranks and, and shifted over into corporate strategy and product marketing and product management. Uh, and I've been doing, uh, working as an industry analyst now for about five years, more insights and strategy. >>Steve, how do you see this playing out in the next three to five years? I mean, cloud got it all started. It's gonna snowballing, you know, however you look at it, percent of spending on storage that you think is gonna land in as a service. How, how do you see the evolution here? >>I think it buyers are looking at as a service, a consumption based is, is, uh, uh, you know, a natural model. It extends the data center, brings all of the flexibility, all of the goodness that I get from public cloud, but without all of the downside and uncertainty around cost and security and things like that, right. That also come with a public cloud and it's delivered by technology providers that I trust and that I know, and that I've worked with, you know, for, in some cases, decades. So I don't know that we have hard data on how much, uh, adoption there is of the model, but we do know that it's trending up, uh, you know, and every infrastructure provider at this point has some flavor of offering in the space. So it's, it's clearly popular with CIOs and, and it practitioners alike. >>So Steve organizations are at a they're different levels of maturity in their, their transformation journeys. And of course, as a result, they're gonna have different storage needs that are aligned with their bottom line business objectives. From an it buyer perspective, you may have data on this, even if it's anecdotal, where does storage as a service actually fit in and can it be a growth lever >>Can absolutely be, uh, a growth leader. Uh, it, it gives me the flexibility as, as an it architect to scale my business over time, without worrying about how much money I have to invest in, in storage hardware. Right? So I, I get kind of, again, that cloudlike flexibility in terms of procurement and deployment. Uh, but it gives me that control by oftentimes being on site within my permit. And I manage it like a storage array that I own. Uh, so you know, it, it's, it's beautiful for, for organizations that are scaling and, and it's equally nice for organizations that just wanna manage and control cost over time. Um, so it's, it's a model that makes a lot of sense and fits and, and certainly growing in adoption and popularity. >>How about from a technology vendor perspective you've worked for in the, in the tech industry mm-hmm <affirmative> for, for companies? What do you think is gonna define the winners and losers in this space? If you were running strategy for, uh, storage company, what would you say? >>I, I think the days of, of a storage administrator managing, you know, rate levels and recovering and things of that sort are over, right, what would, what these organizations like pure delivering, but they're offerings is, is simplicity. It's a push button approach to deploying storage to the applications and workloads that need it, right. It becomes storage as a utility. So it's not just the, you know, the consumption based economic model of, of, uh, as a service. Uh, it, it's also the manageability that comes with that, or the flexibility of management that comes with that. I can push a button, deploy bites to, to, uh, you know, a workload that needs it. Um, and it just becomes very simple, right. For the storage administrator in a way that, you know, kind of old school OnPrim storage can't really deliver. >>You know, I wanna, I wanna ask you, I mean, I've been thinking about this because again, a lot of companies are, are, you know, moving, hopping on the, as a service bandwagon, I feel like, okay, in and of itself, that's not where the innovation lives, the innovation is gonna come from making that singular experience from on-prem to the clouds across clouds, maybe eventually out to the edge. Um, do you, do you, where do you see the innovation in as a service? >>Well, there there's two levels of innovation, right? One, one is business model innovation, right? I, I now have an organizational flexibility to build the infrastructure, to support my digital transformation efforts. Um, but on the product side and the offering side, it really is, as you said, it's about the integration of experience. Every enterprise today touches a cloud in some way, shape or form, right. I have data spread, not just in my data center, but at the edge, uh, oftentimes in a public cloud, maybe a private cloud, I don't know where my data is and it really lands on the storage providers to help me manage that and deliver that, uh, uh, manageability experience, uh, to, to the it administrators. So when I look at innovation in this space, you know, it's not just a storage array and rack that I'm leasing, right? This is not another lease model. It's really fully integrated, you know, end to end management of my data and, and, you know, and all of the things around that. >>Yeah. So you, to your point about a lease model is if you're doing a lease, you know, yeah. You can shift CapEx to OPEX, but you're still committed to, to, you have to over provision, whereas here, and I wanted to ask you about that. It's, it's, it's, it's an interesting model, right? Cuz you gotta read the fine print. Of course the fine print says you gotta commit to some level typically. And then if, you know, if you go over you, you charge for what you use and you can scale that back down and that's, that's gotta be very attractive for folks. I, I wonder if you will ever see like true cloud-like consumption pricing, that is two edges to it. Right. You see consumption based pricing in some of the software models and you know yeah. People like it, the lines of business maybe cuz they pay in by the drink, but then procurement hates it cuz they don't have predictability. How do you see the pricing models? Do you see that maturing or do you think we're sort of locked in on, on where we're at? >>No, I, I do. I do see that maturing. Right? And, and when you work with a company like pure to understand their consumption based and as a service offerings, uh, it, it really is sitting down and understanding where your data needs are going to scale, right? You, you buy in at a certain level, uh, you have capacity planning. You can expand if you need to, you can shrink if you need to. So it really does put more control in the hands of the it buyer than uh, well certainly then traditional CapEx based on-prem but also more control than you would get, you know, working with an Amazon or an Azure. >>Okay. Thanks Steve. We'll leave it there for now. I'd love to have you back. Keep it right there at your storage service continues in a moment. >>Some things are meant to last your storage should be one of them say hello to the evergreen storage program, say goodbye to refreshes and rebates. Forget planned downtime, performance impact and data migrations. Forget forklift upgrades. Evergreen storage starts with your agile storage architecture and covers the entire life cycle of the array from first purchase to ongoing use. And whenever it's time to modernize and grow, your satisfaction is covered with an evergreen subscription. You can get a full refund within 30 days for any reason, >>Our right size guarantee lets you buy just the storage you need never too much. Never not enough. Your array software is all inclusive. Even future releases and features maintenance and support costs remain constant throughout the life of your array. Proactive expert support is a true white glove experience. Evergreen maintenance ensures availability of any replacement components. Meet the demands of your business and protect your investment. Evergreen gold includes controller upgrades every three years. And if something unplanned comes up, evergreen gold provides upgrade flex the leading anytime upgrade feature to upgrade controllers whenever you need it. As you expand evergreen gold provides credits to consolidate storage with denser more modern flash. Evergreen is your subscription to continuous innovation for storage that lasts 10 years or more. Some things are meant to last make your storage. One of them >>We're back at your storage service. Emil Stan is here. He's the chief commercial officer and chief marketing officer of open line. Thank you Emil for coming on the cube. Appreciate your time. >>Thank you, David. Nice. Uh, glad to be here. >>Yes. Yeah. So tell us about open line. You're a managed service provider. What's your focus? >>Yeah, we're actually a cloud managed service provider and I do put cloud in front of the managed services because it's not just only the spheres that we manage. We have to manage the clouds as well nowadays. And then unfortunately, everybody only thinks there's one cloud, but it's always multiple layers in the cloud. So we have a lot of work in integrating it. We're a cloud manages provider in the Netherlands, focusing on, uh, companies who have head office in the Netherlands, mainly in the, uh, healthcare local government, social housing logistics department. And then in the midst size companies between say 250 to 10,000 office employees. Uh, and that's what we do. We provide 'em with excellent cloud managed services, uh, as it should be >>Interesting, you know, a lot early on in the cloud days, highly regulated industries like healthcare government were somewhat afraid of the cloud. So I'm sure that's one of the ways in which you provide value to your customers is helping them become cloud proficient. Maybe you could talk a little bit more about the value prop to customers. Why do they do business with you? >>And I think, uh, there are a number of reasons why they do business with us or choose to choose for our manage services provider that first of course are looking for stability and continuity. Uh, and, and from a cost perspective, predict predictable costs. But nowadays you also have a shortage in personnel and knowledge. So, and it's not always very easy for them to access, uh, those skill sets because most it, people just want to have, uh, a great variety in work, what they are doing, uh, towards, towards the local government, uh, healthcare, social housing. They actually, uh, a sector that, uh, that are really in between embracing the public cloud, but also have a lot of legacy and, and bringing together best of all, worlds is what we do. So we also bring them comfort. We do understand what legacy, uh, needs from a manager's perspective. We also know how to leverage the benefits in the public cloud. Uh, and, uh, I'd say from a marketing perspective, actually we focus on using an ideal cloud, being a mix of traditional and future based cloud. >>Thank you. I, you know, I'd like to get your perspective on this idea of as a service and the, as a service economy that we often talk about on the cube. I mean, you work with a lot of different companies. We talked about some of the industries and, and increasingly it seems like organizations are focused more on outcomes, continuous value delivery via, you know, suites of services and, and they're leaning into platforms versus one off product offerings, you know, do you see that? How do you see your customers reacting to this as a service trend? >>Yeah. Uh, to be honest, sometimes it makes it more complex because services like, look at your Android or iPhone, you can buy apps, uh, and download apps the way you want to. So they have a lot of apps about how do you integrate it into one excellent workflow, something that works for you, David or works for me. Uh, so the difficulty, some sometimes lies in, uh, the easy accessibility that you have to those solutions, but nobody takes into account that they're all part of a chain, a workflow supply chain, uh, and, and, uh, they're being hyped as well. So what we also have a lot of time in, in, in, in managing our customers is that the tremendous feature push feature push that there is from technology providers, SaaS providers. Whereas if you provide 10 features, you only need one or two, uh, but the other eight are very distracting from your prime core business. Uh, so there's a natural way in that people are embracing, uh, SA solutions, embracing cloud solutions. Uh, but what's not taken into account as much is that we love to see it is the way that you integrate all those solutions toward something that's workable for the person that's actually using them. And it's seldomly that somebody is only using one solution. There's always a chain of solutions. Um, so yeah, there are a lot of opportunities, but also a lot of challenges for us, but also for our customers, >>You see that trend toward, as a service continuing, or do you actually see based on what you're just saying that pendulum, you know, swinging back and forth, somebody comes out with a new sort of feature product and that, you know, changes the dynamic or do you see as a service really having legs? >>Ah, I, I think that's very, very good question, David, because that's something that's keeping our busy all the time. We do see a trend in a service looking at, uh, talk about pure later on. We also use pure as a service more or less. Yeah. And that really helps us. Uh, but you see, uh, um, that sometimes people make a step too, too fast, too quick, not well thought of, and then you see what they call sort of cloud repatriation, tend that people go back to what they're doing and then they stop innovating or stop leveraging. The possibilities are actually there. Uh, so from our consultancy, our guidance and architecture point of view, we try to help them as much as possible to think in a SA thought, but just don't use the, cloud's just another data center. Uh, and so it's all about managing the maturity on our side, but on our customer side as well. >>So I'm interested in how your sort of your philosophy and, and as relates, I think in, in, in terms of how you work with pure, but how do you stay tightly in lockstep with your customers so that you don't over rotate so that you don't and send them to over rotate, but then you're not also, you don't wanna be too late to the game. How, how do you manage all that? >>Oh, there's, there's, there's a world of interactions between us and our customers. And so I think a well known, uh, uh, thing that people is customer intimacy. That's very important for us to get to know our customers and get to predict which way they're moving. But the, the thing that we add to it is also the ecosystem intimacy. So no, the application and services landscape, our customers know the primary providers and work with them, uh, to, to, to create something that, that really fits the customers. They just not looked at from our own silo where a cloud managed service provider that we actually work in the ecosystem with, with, with, with the primary providers. And we have, I think with the average customers, I think we have, uh, uh, in a month we have so much interactions on our operational level and technical levels, strategic level. >>We do bring together our customers also, and to jointly think about what we can do together, what we independently can never reach. Uh, but we also involve our customers in, uh, defining our own strategy. So we have something we call a customer involvement board. So we present a strategy and say, does it make sense? Eh, this is actually what you need also. So we take a lot of our efforts into our customers and we do also, uh, understand the significant moments of truth. We are now in this, in this broadcast, David there. So you can imagine that at this moment, not thinking go wrong. Yeah. If, if, if the internet stops that we have a problem. And now, so we, we actually know that this broadcast is going on for our customers and we manage that. It's always on, uh, uh, where in the other moments in the week, we might have a little less attention, but this moment we should be there. And these moments of truth that we really embrace, we got them well described. Everybody working out line knows what the moment of truth is for our customers. Uh, uh, so we have a big logistics provider. For instance, you does not have to ask us to, uh, have, uh, a higher availability on black Friday or cyber Monday. We know that's the most important part in the year for him or her. Does it answer your question, David? >>Yes. We know as well. You know, when these big, the big game moments you have to be on your top, uh, top of your game, uh, you know, the other thing Emil about this as a service approach that I really like is, is it's a lot of it is consumption based and the data doesn't lie, you can see adoption, you know, daily, weekly, monthly. And so I wonder how you're leveraging pure as a service specifically in what kind of patterns you're seeing in, in, in the adoption. >>Uh, yeah, pure as a service for our customers is mainly never visible. Uh, we provide storage services to provide storage solutions, storage over is part of a bigger thing of a server of application. Uh, so the real benefits, to be honest, of course, towards our customer, it's all flash, uh, uh, and they have the fastest, fastest storage is available. But for ourself, we, uh, we use less resources to manage our storage. We have far more that we have a near to maintenance free storage solution now because we have it as a service and we work closely together with pure. Uh, so, uh, actually the way we treat our customers is that way pure treats us as well. And that's why there's a used click. So the real benefits, uh, uh, how we leverage is it normally we had a bunch of guys managing our storage. Now we only have one and knowing that's a shortage of it, personnel, the other persons can well be, uh, involved in other parts of our services or in other parts of an innovation. So, uh, that's simply great. >>You know, um, my takeaway the meal is that you've made infrastructure, at least, least the storage infrastructure, invisible to your customers, which is the way it should be. You didn't have to worry about it. And you've, you've also attacked the, the labor problem. You're not, you know, provisioning lungs anymore, or, you know, tuning the storage, you know, with, with arms and legs. So that's huge. So that gets me into the next topic, which is business transformation. That, that means that I can now start to attack the operational model. So I've got a different it model. Now I'm not managing infrastructure same way. So I have to shift those resources. And I'm presuming that it's a bus now becomes a business transformation discussion. How are you seeing your customers shift those resources and focus more on their business as a result of this sort of as a service trend? >>I think I do not know if they, they transform their business. Thanks to us. I think that they can more leverage their own business. They have less problems, less maintenance, et cetera, cetera, but we also add new, uh, certainties to it, like, uh, uh, the, the latest service we we released was imutable storage being the first in the Netherlands offering this thanks to, uh, thanks to the pure technology, but for customers, it takes them to give them a good night rest because, you know, we have some, uh, geopolitical issues in the world. Uh, there's a lot of hacking. People have a lot of ransomware attacks and, and we just give them a good night rest. So from a business transformation, does it transform their business? I think that gives them a comfort in running your business, knowing that certain things are well arranged. You don't have to worry about that. We will do that. We'll take it out of your hands and you just go ahead and run your business. Um, so to me, it's not really a transformation is just using the right opportunities at the right moment. >>The imutable piece is interesting because, because, but speaking of as a service, you know, anybody can go on the dark web and buy ransomware as a service. I mean, as it's seeing the, as a service economy hit, hit everywhere, the good and the, and the not so good. Um, and so I presume that your customers are, are looking at, I imutability as another service capability of the service offering and really rethinking, maybe because of the recent, you know, ransomware attacks, rethinking how they, they approach, uh, business continuance, business resilience, disaster recovery. Do you see that? >>Yep, definitely. Definitely. I tell not all of them yet. Imutable storage. So it's like an insurance as well, which you have when you have imutable storage and you have been, you have a ransomware attack at least have you part of data, which never, if data is corrupted, you cannot restore it. If your hardware is broken, you can order new hardware. Every data is corrupted. You cannot order new data. Now we got that safe and well. And so we offer them the possibility to, to do the forensics and free up their, uh, the data without tremendous loss of time. Uh, but you also see that you raise the new, uh, how do you say, uh, the new baseline for other providers as well? Eh, so there's security of the corporate information security officer, the CIO, they're all very happy with that. And they, they, they raise the baseline for us as well. So they can look at other security topics and look from say, security operation center. Cuz now we can really focus on our prime business risks because from a technical perspective, we got it covered. How can we manage the business risk, uh, which is a combination of people, processes and technology. >>Right. Makes sense. Okay. I'll give you the last word. Uh, talk about your relationship with pure, where you wanna see that that going in the future. >>Uh, I hope we've be working together for a long time. Uh, I, I ex experienced them very involved. Uh, it's not, we have done the sell and now it's all up to you now. We were closely working together. I know if I talk to my prime architect, Marcel height is very happy and it looks a little more or less if we work with pure, like we're working with colleagues, not with a supplier and a customer, uh, and uh, the whole pure concept is fascinating. Uh, I, uh, I had the opportunity to visit San Francisco head office and they told me to fish in how they launched, uh, pure being, if you want to implement it, it had to be on one credit card. The, the, the menu had to be on one credit card. Just a simple thought of put that as your big area, audacious goal to make the simplest, uh, implementable storage available. But for us, uh, it gives me the expectation that there will be a lot of more surprises with pur in the near future. Uh, and for us as a provider, what we, uh, literally really look forward to is that, that for us, these new developments will not be new migrations. It will be a gradual growth of our services or storage services. Uh, so that's what I expect. And that was what I, and we look forward to. >>Yeah, that's great. Uh, thank you so much, Emil, for coming on the, the cube and, and sharing your thoughts and best of luck to you in the future. >>Thank you. You're welcome. Thanks for having me. >>You're very welcome. Okay. In a moment, I'll be back to give you some closing thoughts on at your storage service. You're watching the cube, the leader in high tech enterprise coverage. >>Welcome to evergreen, a place where organizations grow and thrive rooted in the modern data experience in evergreen people find a seamless, simple way to leverage data through market leading sustainable technology, financial flexibility, and effortless management, allowing everyone to innovate with data confidently. Welcome to pure storage. >>Now, if you're interested in hearing more about Pure's growing portfolio of technology and services and how they're transforming the enterprise data experience, be sure to register for pure accelerate tech Fest. 22 digital event is also taking place as an in-person event. On June 8th, you can register at pure storage.com/accelerate, pure storage.com/accelerate. You're watching the cue, the leader in enterprise and emerging tech coverage.

(upbeat music) >> Welcome to theCUBE's coverage of HPE Discover 2021. I'm Lisa Martin. Robert Christiansen joins me, one of our alumni the VP of Strategy in the Office of the CTO at HPE. Robert, it's great to see you, welcome back to the program. >> It's nice being here, Lisa. Thank you so much for having me. >> So here we are still in this virtual world. Things are opening up a little bit, which is nice but one of the things I'm excited to talk to you about today is Edge to Cloud from the customer's perspective. Obviously, that's why HPE does what it does for its customers. So let's talk about some of the things that you see from your perspective, with respect to data. We can't have a Cube conversation without talking about data, there's more and more of it, value but getting access to it quickly, getting access to it in real-time and often cases to make data-driven decisions is a challenging thing to do. Talk to me about what you see from the customer's lens. >> Well, the customer at a very highest level from the board level on down they're saying, "Hey, what is our data strategy? How are we going to put the value of data in place? Are we going to have it manifest its value in an internal fashion where it makes us run better as an organization? Can we get cost improvements? Can we move quicker with that? And then can we monetize that data if it's like very specific to an industry like healthcare or pharma or something like that? Can we expose that data to the rest of the world and give them access into what we call like data sets?" And there's a lot of that going on right now too. So we're seeing these two different angles about how they're going to manage and control that data. And you were talking about, and you mentioned it, you know the Edge related focus around that. You know, the Edges where business is done is where people actually do the transaction whether it's in a healthcare like in a hospital or a manufacturing facility et cetera. And then, but that data that they're using at that location is really important to make a decision at that location. They can't send it back to a Cloud. They can't send it back to someplace, wait for a decision to happen and then shoot it back again and say, "Hey, stop the production line because we found a defect." You need to act at that moment which the clients are saying, "Hey, can you improve my reliability? Can you give me better SLS? Can you improve the quality of my products? Can you improve healthcare in a hospital by immediate decisions?" And that is a data problem. And that requires the movement of compute and networking and storage and fundamentally the core piece of HPE's world. But in addition to that, the software necessary to take the action on that data when they detect that there's some action that needs to be taken. >> And I mentioned a minute ago, you know real-time and we've learned in the last 15 months plus. One of the things we learned is for a lot of cases, access to real-time data is no longer a nice to have. It's really going to be something, an element that separates those that succeed versus those that aren't as competitive. But I want to talk about data from a consumption perspective consumers, producers, obviously, meeting to ensure that the data consumers have what they need, what is it? What is your thought when you talk with customers, the consumers versus the producers? >> Yeah, that's a great question, Lisa. One of the key fundamental areas that HPE and the Office of the CTO has really been focused on over the last six months is something that we call data spaces and that is putting in place a platform, a set of services that connect data consumers with data producers. And when you think about that, that really isn't nothing new. I mean, you could go all the way back, if you've been around for a while remember the company called TRW and they used to have credit reporting, and they used to sell that stuff. And then it moved into Experian and those things. But you've got Bloomberg and next LexisNexis and all these companies that sell data. And they've been doing it, but it's very siloed. And so the explosion of data, the valuableness the value of the data for the consumers of it has put the producers in a position where they can't readily be discovered. And whether it be a private source of data like an IoT device and an industrial control, or a set of data that might say, "Hey, here's credit card for our data on a certain geography." Those sets need to be discovered, curated, and be made available to those who would want that. You know, for example, the folks that want to know how IoT device is working inside an industrial control or a company who's trying to lower their fraud rates on credit card transactions, like in stadiums or something like that. And so this discoverability in this space, or what you just talked about is such a core piece of what we're working on right now. And we haven't, our strategy is not only to just work on what HPE has to bring that and manifest that to the marketplace. But more importantly, how are we working with our partners to really bridge that gap and bring that next generation of services to those clients that can make those connections. >> So connecting and facilitating collaboration, absolutely key, as well as that seamless flow of data sharing without constraints. How are customers working with HPE and some of your partners to be able to create a data strategy, launch it, and start gleaning value from data faster than they can before? (Robert chuckles) >> This is the big question because it's a maturity curve. Organizations are in various states of what we call data maturity or data management maturity. They can be in very early stages. You know what we consider, you know, they just more worried about just maintaining the lights on DR strategies and make sure that data doesn't go away versus all the way through a whole cycle where they're actually governing it and putting it into what I call those discoverable buckets that are made available. And there's a whole life cycle about that. And so we see a big opportunity here for our A&PS and other professional services organizations to help people get up that maturity curve. But they also have to have the foundational tools necessary to make that happen. This is really where the Ezmeral product line or software applications really shines being able to give that undercarriage that's necessary to help that data maturity and the growth of that client to meet those data needs. And we see the data fabric being a key element to that, for that distributed model, allowing people to get access and availability to have a highly redundant, highly durable data fabric and then to build applications specifically as data-intensive applications on top of that with the Ezmeral platform all the way into our GreenLake solutions. So it's quite a journey here, Lisa. I want to just, point to the fact that HPE has done a really, really good job of positioning itself for the explosion of all of these data-intensive AI/ML workloads that are making their way into every single conversation every single enterprise to this day that wants to take advantage of the value of the data they have and to augment that data through other sources. >> One, when you think about data-intensive applications the first one that pops into my mind is Uber. And it's one of those applications that we just expect. We kind of think of as a taxi service when really it's logistics and transportation, but all of the data on the backend that it is organizing to find the ride for me at my location to take me where I'm going. The explosion of data-intensive applications is great but there's also so much more demand from consumers whether we're in business or we're consuming in our personal lives. >> It's so true and that's a very popular example. And you know, you think about the real-time necessity of what's the traffic patterns at the time I order my thing. Is it going to route me the right way? That's a very real consumer facing one, but if we click into our clients and where HPE very much is like the backbone of the global economy. We provide probably one third of the compute for the global economy and it's a staggering stat if you really think about it. Our clients, I was just talking with a client here earlier, very, very large financial services company. And they have 1200 data sets that have been selling to their clients globally. And a lot of these clients want to augment that data with their existing real-time data to come up with a solution. And so they merge it and they can determine some value through a model, an AI model. And so we're working hand-in-hand with them right now to give them that backbone so that they can deliver data sets into these other systems and then make sure they get controlled and secured. So that the company we're working with, our client has a deep sense of security that that data set is not going to find itself out into the wild somewhere. And uncontrolled for a number of reasons, from security and governance mind. But the number of use cases, Lisa are as infinite as the number of opportunities for people see value in business today. >> When you're talking about 1200 data sets that a company is selling, and of course there are many, many data sets that many types of companies consume. How do you work with them to ensure that they don't just proliferate silos, but that they get more of a unified data repository that they can act on? >> Yeah, that's a great question. A key tenant of the strategy at HPE is Open-source. So we believe in a hybrid, multi-Cloud environment meaning that as long as we all agree that we are going to standardize on Open-source technologies and APIs, we will be able to write and build applications that can natively run on any abstract platform. So for example, it's very important that we containerize, for example, and we use storage and data tools that adhere to Open standards. So if you think about that, if you write a Spark application you want that Spark application potentially to run on any of the hyperscalers, the Amazon's or the Microsoft to GCPS, or you want it to run on-premises and specifically like on HPE equipment. But the idea here is I consider one of our clients right now. I mean, think about that. One of our clients specifically ask that question that you just said. They said, "Hey, we are building out this platform, this next generation platform. And we don't want the lock-in. We want to be, we want to create that environment where that data and the data framework." So they use very specific Open -source data frameworks and they open, they use very specific application frameworks the software from the Open-source community. We were able to meet that through the Ezmeral platform. Give them a very high availability, five nines high availability, redundant, redundant geographically to geographic data centers to give them that security that they're looking for. And because of that, it's opened so many other doors for us to walk in with a Cloud strategy that is an alternative, not just the one bet to public Cloud but you haven't other opportunity to bring a Cloud strategy on-premises that is compatible with Cloud-native activities that are going on in the public Cloud. And this is at the heart of HPE strategy. I think it's just, it's been paying off. It continues to pay off. We just keep investing and keep moving down that path. I think we're going to be doing really well. >> It sounds to me that the strategy that HP is developing is highly collaborative and synergistic with your customers. Talk to me a little bit about that, especially in the last year, as we've seen a massive acceleration in digital transformation about the rapid pivot to work from home, the necessity to collaborate electronically. Talk to me a little bit about that yin and yang with HPE and its customers in terms of your strategy. >> Yeah, well, I think when COVID hit one of the very first things that just took off with VDI. Rohit Dixon and I were talking on a podcast we had earlier around the work from home strategy that was implemented almost immediately. Well, we had it already in the can, we already were doing it for many clients already but it went from like a three priority to a 12, 10 being the max. Super, super charged up on how do we get work from home secured, work from home applications and stuff in the hands of people doing, you know, when data sensitivity is super important, VDI kicks in that's on that side. But then if you start looking at the digital transformation that has to happen in the supply chain that's going on right now. The opening up of our economies it's been various starts and stops if you look around the globe. The supply chains have absolutely gone under a huge amount of pressure, because, unlike in the United States, everybody just wants everything now because things are starting to open up. I was talking to a meat packing company and a restaurant business a little while ago. And they said, "Everybody wants to order the barbecue. Now we can't get the meat for the barbecues 'cause everybody's going to the barbecues." And so the supply, this is a multi-billion dollar industry supplying meat to all of the rest of the countries and stuff like that. And so they don't have optics into that supply chain today. So they're immediately having to go through a digitization process, the transformation in something as what you would call as low tech as delivering meat. So no industry is immune, none anywhere in this whole process. And it will continue to evolve as we exit and change how we live our life going into these next couple of years. I think it's going to be phenomenal just to watch. >> Yeah, it's one of the things I call a COVID catalyst some of the silver linings that have come out of this 'cause I wouldn't have thought of the meatpacking industry as a technology field as well, but now thanks to you, I will. Last question for you. When customers in this dynamic world in which we're still living talk about Edge to Cloud are they working with you to develop a Cloud initiatives, Cloud mandates, Cloud everywhere? And if so, how do you help them start? >> Yeah, that's a great question. So again, it's like back into the data model, everybody has a different degree or a starting point that they will engage us with a strategy but specifically with what you're talking about. Almost everybody already has a Cloud strategy. So they may be at different maturity levels with that Cloud strategy. And there's almost always a Cloud group. Now, historically HPE has not had much of a foot in the Cloud group because they never really historically looked at us says that HPE is a Cloud company. But what's happened over the last couple of years with the acceleration of the acceptance of Cloud on-premises and GreenLake, specifically, and the introduction of Ezmeral and the Cloud-native infrastructure services and past layer stuff that's coming up through the Ezmeral product into our clients. It's immediately opened the door for conversations around Cloud that is available for what is staying on-premises which is in excess of 70% of the applications today. Now, if you were to take that now and extend that into the Edge conversation, what if you were able to take a smaller form factor of a GreenLake Cloud and push it more closer to an Edge location while still giving the similar capabilities, Cloud-native functions that you had before? When we're provocative with clients in that sense they suddenly open up and see the art of the possible. And so this is where we are really, really breaking down a set of paradigms of what's possible by introducing, you know, not just from the Silicon all the way up but the set of services all the way to the top of stack to the actual application that they're going to be running. And we say, "Hey, we can offer it to you in as a pay as you go model, we can get you the consumption models that are necessary, that lets you buy at the same way as the Cloud offers it. But more importantly, we'll be able to run it for you and provide you an abstraction out of that model. So you don't have to send your people out into the field to do these things. We have the software, the tools, and the systems necessary to manage it for you." But the last part is I want to be really really focused on when clients are writing that application for the Edge that matters. They are putting it into new Cloud-native architectures containers, microservices, they're using solid pipelines development pipelines, they've implemented what they call their DevOps or their DataOps practices in field, in country, if you would say. That's where we shine. And so we had a really, really good conversation start there. And so how we start that is we arrive with a set of blueprints to help them establish what that roadmap looks like. And then our professional services staff, or A&PS groups around the globe are really really set up well to help them take that trip. >> Wow, that's outstanding, Robert. We could have a whole conversation on HPE's transformation. Internet itself that was my first job in tech was at Hewlett Packard back in the day. But this has been really interesting, really getting it your vision of the customer's experience and the customer's perspective from the Office of the CTO. Great to talk to you, Robert. Thank you for sharing all that you did. This could have been a Part 2 conversation. >> Well, I'm hopeful then that we'll do Part 3 and 4 here as the months go by. So I look forward to seeing you again, Lisa. >> Deal, that's a deal. All right. >> All right. >> For Robert Christiansen, I'm Lisa Martin. You're watching theCUBE's coverage of HPE Discover 2021. (upbeat music)

(upbeat music) >> Welcome to theCUBE's coverage of HPE Discover 2021. I'm Lisa Martin. Robert Christiansen joins me, one of our alumni the VP of Strategy in the Office of the CTO at HPE. Robert, it's great to see you, welcome back to the program. >> It's nice being here, Lisa. Thank you so much for having me. >> So here we are still in this virtual world. Things are opening up a little bit, which is nice but one of the things I'm excited to talk to you about today is Edge to Cloud from the customer's perspective. Obviously, that's why HPE does what it does for its customers. So let's talk about some of the things that you see from your perspective, with respect to data. We can't have a Cube conversation without talking about data, there's more and more of it, value but getting access to it quickly, getting access to it in real-time and often cases to make data-driven decisions is a challenging thing to do. Talk to me about what you see from the customer's lens. >> Well, the customer at a very highest level from the board level on down they're saying, "Hey, what is our data strategy? How are we going to put the value of data in place? Are we going to have it manifest its value in an internal fashion where it makes us run better as an organization? Can we get cost improvements? Can we move quicker with that? And then can we monetize that data if it's like very specific to an industry like healthcare or pharma or something like that? Can we expose that data to the rest of the world and give them access into what we call like data sets?" And there's a lot of that going on right now too. So we're seeing these two different angles about how they're going to manage and control that data. And you were talking about, and you mentioned it, you know the Edge related focus around that. You know, the Edges where business is done is where people actually do the transaction whether it's in a healthcare like in a hospital or a manufacturing facility et cetera. And then, but that data that they're using at that location is really important to make a decision at that location. They can't send it back to a Cloud. They can't send it back to someplace, wait for a decision to happen and then shoot it back again and say, "Hey, stop the production line because we found a defect." You need to act at that moment which the clients are saying, "Hey, can you improve my reliability? Can you give me better SLS? Can you improve the quality of my products? Can you improve healthcare in a hospital by immediate decisions?" And that is a data problem. And that requires the movement of compute and networking and storage and fundamentally the core piece of HPE's world. But in addition to that, the software necessary to take the action on that data when they detect that there's some action that needs to be taken. >> And I mentioned a minute ago, you know real-time and we've learned in the last 15 months plus. One of the things we learned is for a lot of cases, access to real-time data is no longer a nice to have. It's really going to be something, an element that separates those that succeed versus those that aren't as competitive. But I want to talk about data from a consumption perspective consumers, producers, obviously, meeting to ensure that the data consumers have what they need, what is it? What is your thought when you talk with customers, the consumers versus the producers? >> Yeah, that's a great question, Lisa. One of the key fundamental areas that HPE and the Office of the CTO has really been focused on over the last six months is something that we call data spaces and that is putting in place a platform, a set of services that connect data consumers with data producers. And when you think about that, that really isn't nothing new. I mean, you could go all the way back, if you've been around for a while remember the company called TRW and they used to have credit reporting, and they used to sell that stuff. And then it moved into Experian and those things. But you've got Bloomberg and next LexisNexis and all these companies that sell data. And they've been doing it, but it's very siloed. And so the explosion of data, the valuableness the value of the data for the consumers of it has put the producers in a position where they can't readily be discovered. And whether it be a private source of data like an IoT device and an industrial control, or a set of data that might say, "Hey, here's credit card for our data on a certain geography." Those sets need to be discovered, curated, and be made available to those who would want that. You know, for example, the folks that want to know how IoT device is working inside an industrial control or a company who's trying to lower their fraud rates on credit card transactions, like in stadiums or something like that. And so this discoverability in this space, or what you just talked about is such a core piece of what we're working on right now. And we haven't, our strategy is not only to just work on what HPE has to bring that and manifest that to the marketplace. But more importantly, how are we working with our partners to really bridge that gap and bring that next generation of services to those clients that can make those connections. >> So connecting and facilitating collaboration, absolutely key, as well as that seamless flow of data sharing without constraints. How are customers working with HPE and some of your partners to be able to create a data strategy, launch it, and start gleaning value from data faster than they can before? (Robert chuckles) >> This is the big question because it's a maturity curve. Organizations are in various states of what we call data maturity or data management maturity. They can be in very early stages. You know what we consider, you know, they just more worried about just maintaining the lights on DR strategies and make sure that data doesn't go away versus all the way through a whole cycle where they're actually governing it and putting it into what I call those discoverable buckets that are made available. And there's a whole life cycle about that. And so we see a big opportunity here for our A&PS and other professional services organizations to help people get up that maturity curve. But they also have to have the foundational tools necessary to make that happen. This is really where the Ezmeral product line or software applications really shines being able to give that undercarriage that's necessary to help that data maturity and the growth of that client to meet those data needs. And we see the data fabric being a key element to that, for that distributed model, allowing people to get access and availability to have a highly redundant, highly durable data fabric and then to build applications specifically as data-intensive applications on top of that with the Ezmeral platform all the way into our GreenLake solutions. So it's quite a journey here, Lisa. I want to just, point to the fact that HPE has done a really, really good job of positioning itself for the explosion of all of these data-intensive AI/ML workloads that are making their way into every single conversation every single enterprise to this day that wants to take advantage of the value of the data they have and to augment that data through other sources. >> One, when you think about data-intensive applications the first one that pops into my mind is Uber. And it's one of those applications that we just expect. We kind of think of as a taxi service when really it's logistics and transportation, but all of the data on the backend that it is organizing to find the ride for me at my location to take me where I'm going. The explosion of data-intensive applications is great but there's also so much more demand from consumers whether we're in business or we're consuming in our personal lives. >> It's so true and that's a very popular example. And you know, you think about the real-time necessity of what's the traffic patterns at the time I order my thing. Is it going to route me the right way? That's a very real consumer facing one, but if we click into our clients and where HPE very much is like the backbone of the global economy. We provide probably one third of the compute for the global economy and it's a staggering stat if you really think about it. Our clients, I was just talking with a client here earlier, very, very large financial services company. And they have 1200 data sets that have been selling to their clients globally. And a lot of these clients want to augment that data with their existing real-time data to come up with a solution. And so they merge it and they can determine some value through a model, an AI model. And so we're working hand-in-hand with them right now to give them that backbone so that they can deliver data sets into these other systems and then make sure they get controlled and secured. So that the company we're working with, our client has a deep sense of security that that data set is not going to find itself out into the wild somewhere. And uncontrolled for a number of reasons, from security and governance mind. But the number of use cases, Lisa are as infinite as the number of opportunities for people see value in business today. >> When you're talking about 1200 data sets that a company is selling, and of course there are many, many data sets that many types of companies consume. How do you work with them to ensure that they don't just proliferate silos, but that they get more of a unified data repository that they can act on? >> Yeah, that's a great question. A key tenant of the strategy at HPE is Open-source. So we believe in a hybrid, multi-Cloud environment meaning that as long as we all agree that we are going to standardize on Open-source technologies and APIs, we will be able to write and build applications that can natively run on any abstract platform. So for example, it's very important that we containerize, for example, and we use storage and data tools that adhere to Open standards. So if you think about that, if you write a Spark application you want that Spark application potentially to run on any of the hyperscalers, the Amazon's or the Microsoft to GCPS, or you want it to run on-premises and specifically like on HPE equipment. But the idea here is I consider one of our clients right now. I mean, think about that. One of our clients specifically ask that question that you just said. They said, "Hey, we are building out this platform, this next generation platform. And we don't want the lock-in. We want to be, we want to create that environment where that data and the data framework." So they use very specific Open -source data frameworks and they open, they use very specific application frameworks the software from the Open-source community. We were able to meet that through the Ezmeral platform. Give them a very high availability, five nines high availability, redundant, redundant geographically to geographic data centers to give them that security that they're looking for. And because of that, it's opened so many other doors for us to walk in with a Cloud strategy that is an alternative, not just the one bet to public Cloud but you haven't other opportunity to bring a Cloud strategy on-premises that is compatible with Cloud-native activities that are going on in the public Cloud. And this is at the heart of HPE strategy. I think it's just, it's been paying off. It continues to pay off. We just keep investing and keep moving down that path. I think we're going to be doing really well. >> It sounds to me that the strategy that HP is developing is highly collaborative and synergistic with your customers. Talk to me a little bit about that, especially in the last year, as we've seen a massive acceleration in digital transformation about the rapid pivot to work from home, the necessity to collaborate electronically. Talk to me a little bit about that yin and yang with HPE and its customers in terms of your strategy. >> Yeah, well, I think when COVID hit one of the very first things that just took off with VDI. Rohit Dixon and I were talking on a podcast we had earlier around the work from home strategy that was implemented almost immediately. Well, we had it already in the can, we already were doing it for many clients already but it went from like a three priority to a 12, 10 being the max. Super, super charged up on how do we get work from home secured, work from home applications and stuff in the hands of people doing, you know, when data sensitivity is super important, VDI kicks in that's on that side. But then if you start looking at the digital transformation that has to happen in the supply chain that's going on right now. The opening up of our economies it's been various starts and stops if you look around the globe. The supply chains have absolutely gone under a huge amount of pressure, because, unlike in the United States, everybody just wants everything now because things are starting to open up. I was talking to a meat packing company and a restaurant business a little while ago. And they said, "Everybody wants to order the barbecue. Now we can't get the meat for the barbecues 'cause everybody's going to the barbecues." And so the supply, this is a multi-billion dollar industry supplying meat to all of the rest of the countries and stuff like that. And so they don't have optics into that supply chain today. So they're immediately having to go through a digitization process, the transformation in something as what you would call as low tech as delivering meat. So no industry is immune, none anywhere in this whole process. And it will continue to evolve as we exit and change how we live our life going into these next couple of years. I think it's going to be phenomenal just to watch. >> Yeah, it's one of the things I call a COVID catalyst some of the silver linings that have come out of this 'cause I wouldn't have thought of the meatpacking industry as a technology field as well, but now thanks to you, I will. Last question for you. When customers in this dynamic world in which we're still living talk about Edge to Cloud are they working with you to develop a Cloud initiatives, Cloud mandates, Cloud everywhere? And if so, how do you help them start? >> Yeah, that's a great question. So again, it's like back into the data model, everybody has a different degree or a starting point that they will engage us with a strategy but specifically with what you're talking about. Almost everybody already has a Cloud strategy. So they may be at different maturity levels with that Cloud strategy. And there's almost always a Cloud group. Now, historically HPE has not had much of a foot in the Cloud group because they never really historically looked at us says that HPE is a Cloud company. But what's happened over the last couple of years with the acceleration of the acceptance of Cloud on-premises and GreenLake, specifically, and the introduction of Ezmeral and the Cloud-native infrastructure services and past layer stuff that's coming up through the Ezmeral product into our clients. It's immediately opened the door for conversations around Cloud that is available for what is staying on-premises which is in excess of 70% of the applications today. Now, if you were to take that now and extend that into the Edge conversation, what if you were able to take a smaller form factor of a GreenLake Cloud and push it more closer to an Edge location while still giving the similar capabilities, Cloud-native functions that you had before? When we're provocative with clients in that sense they suddenly open up and see the art of the possible. And so this is where we are really, really breaking down a set of paradigms of what's possible by introducing, you know, not just from the Silicon all the way up but the set of services all the way to the top of stack to the actual application that they're going to be running. And we say, "Hey, we can offer it to you in as a pay as you go model, we can get you the consumption models that are necessary, that lets you buy at the same way as the Cloud offers it. But more importantly, we'll be able to run it for you and provide you an abstraction out of that model. So you don't have to send your people out into the field to do these things. We have the software, the tools, and the systems necessary to manage it for you." But the last part is I want to be really really focused on when clients are writing that application for the Edge that matters. They are putting it into new Cloud-native architectures containers, microservices, they're using solid pipelines development pipelines, they've implemented what they call their DevOps or their DataOps practices in field, in country, if you would say. That's where we shine. And so we had a really, really good conversation start there. And so how we start that is we arrive with a set of blueprints to help them establish what that roadmap looks like. And then our professional services staff, or A&PS groups around the globe are really really set up well to help them take that trip. >> Wow, that's outstanding, Robert. We could have a whole conversation on HPE's transformation. Internet itself that was my first job in tech was at Hewlett Packard back in the day. But this has been really interesting, really getting it your vision of the customer's experience and the customer's perspective from the Office of the CTO. Great to talk to you, Robert. Thank you for sharing all that you did. This could have been a Part 2 conversation. >> Well, I'm hopeful then that we'll do Part 3 and 4 here as the months go by. So I look forward to seeing you again, Lisa. >> Deal, that's a deal. All right. >> All right. >> For Robert Christiansen, I'm Lisa Martin. You're watching theCUBE's coverage of HPE Discover 2021. (upbeat music)

>>Hello, and welcome to this special presentation. This is the cube on cloud startups, our special event of Amazon web services, startup showcase. I'm John furrier, host of the cube, and excited to be here to talk about the hottest startups around cloud cloud computing data and the future of the enterprise. We've got Rob Harris, vice president of solutions consulting for star dog. Great company, Rob. Great to see you. Thanks for coming on. So this is a showcase presentation with AWS showcase startup showcase. You guys are a fast growing startup knowledge graph. We did a video explaining kind of what we did in the cube conversation. Um, really interesting category this, uh, eight hubs cloud startups with you guys. Talk about what you got. Take a minute to explain star dog and what you got. >>Sure. Yeah, here at startup, we are really a knowledge graph platform company. So we help build a knowledge graph for our customers tying together the data inside the organization and with data on the cloud in order for them to be able to find search and understand the context and relationship of all that data within their own organization. So that's really what we try to facilitate and make successful for our customers. >>Awesome. What market are you guys targeting? What's the market opportunity. Can you explain the market space that you're building product value in and what's your focus? >>Sure. Yeah, it's, it's pretty exciting. We do a lot from an industry perspective, we target a lot, uh, life sciences or financial the services, and it just tends to be, those are the ones that are most excited and getting started with this, but we certainly have a much broader set of customers in government or in manufacturing. What we really look for is the horizontal type solution, where you have a lot of systems that you want to tie together, or you want to have that understanding of your data all within context throughout your organization. So anybody struggling with that kind of tying of your data together, whether it's on the cloud or on prem, that's what we really go after >>Disruption. Who are you disrupting as you come into the marketplace? I love Amazon so hot startups because they got an eye clean take on something, but someone usually is being impacted. Who is, who are you guys disrupting as you come into? >>Yeah, a lot of times we find we're disrupting traditional ETL, right? So centralizing of all your data into one big platform, a lot of people have gone down this path of trying to create these large repositories data lakes, data warehouses. Yeah. We try to provide the additional value on top of them by not forcing you to continue to invest in moving and centralizing all your data together, but connecting it and providing context, um, while leaving and leveraging the mid worries. >>Awesome. Cause there's a big market opportunity as data warehouses becomes modernized and horizontal control planes and cloud computing is data is the key competitive advantage. Uh, great disruption. Great opportunity. So let's talk about the business star dog. What do you guys, uh, talk about the company, uh, where the headquarters is? The, how many employees what's the business model? How do you guys make money? Yeah, >>Well, a headquarters is always a little bit tricky nowadays is we were also distributed, but officially it is in Arlington Virginia. Uh, although we are all over the globe, uh, mostly in the United States and Europe, certainly as we look at, uh, how, how do we go to market and what do we do related to that? We have a subscription-based model where we help our customers get started usually small, um, by leveraging a package that they can run either on prem or in the cloud or directly from the AWS marketplace and letting them connect to the data and then growing out as they grow within their organization, larger, more interplay enterprise wide type of installations. So that's how we kind of go after it, uh, from, from our company perspective. >>So your go to market then for the company, is it bottoms up organic growth, kind of a freemium get in there? Or is it kind of a mid, mid tier or how do you guys look at that, that entry? >>It's a great question. That's exactly right. A lot of times we do start with a freemium type of model. We do have free trials and use usability to get started very quickly without having to talk to a salesperson or without having to pay up front in order to see the value, because we want you to be able to understand the value you're going to get out of our platform right off the bat and get started. Then after you've really tried it out and you see where it could apply within your organization, we help make it enterprise. >>I have to ask you how the business model of SAS, obviously clouds. Great. Are you guys leveraging Amazon web services marketplace at all? >>We are we're on the marketplace today, um, with the, both the free trial, as well as the ability through, you know, private offers to do whole production instances. So we're really excited about being a part of the marketplace. What we found is that sometimes customers want to run on the cloud. Sometimes they want to run on prem, wherever they want to run. We want to be sure that we're there. >>Yeah. Alex, let's pull up that slide on the hybrid, uh, architecture for these guys. So I want to bring this up since you brought up the business model and you talk about hybrid. This is interesting. This gets into the business model and this is kind of transitions into kind of the technology architecture. Could you walk me through this slide, the knowledge graph and the hybrid cloud. Why is this important for you guys and why is it important for customers? >>This is great. Thank you for, uh, for pulling this up. What this is really showing is as we look toward the future, as we really look at how people are deploying knowledge, graphs, and managing their data, we see that one of the big problems they're trying to address is what about cloud, uh, data that's on the cloud would a bit dated it's on prem. Maybe it's in multiple VPCs that you have within the Amazon environment. How do you tie all this together? And we all know that moving data around between all of these zones can be expensive and time consuming and difficult. And so we've come up with an architecture that allows you to run the knowledge, graph an agent of the knowledge graph in each of these zones. And they can all talk to each other and coordinate with each other. So they can see data that exists within that zone and pass it on to the other pieces as required or as needed to minimize your kind of in and out fees. And to leverage that all that data in one, in one place >>I asked you because this comes up a lot in our coverage, um, data mobility, uh, moving data is expensive. Um, how does that impact you guys in customers? A lot of people have been looking at, Hey, you know, the economics of the cloud are phenomenal, but at some point, if you've got a lot of data, you move compute to the data or you kind of think differently, how do you guys look at that? That trend? >>Yeah, that's, that's really our key value prop is people struggle with this. As people try to figure out how do I handle this large amount of data without having to generate all this additional costs about moving it around. We really look about how do I push that compute down to the storage layers, where the data already exists. And so if you think about our product architecture and you know, we, I know we have a slide on how our product is really built and how it's pulled together. When you look at our core core architecture, we have the graph that represents that connected data, but the exciting part of our architecture, what we do differently than everyone else is by allowing you to keep the data in its existing data silos, whether it's applications or repositories documents that you already have out there, we allow you to connect to that data where it is cross zone, whether it's on prem or on the cloud. >>And by leveraging the power of start on the virtualization engine, you can connect that data and be able to represent it from one source without having to move it around. But because we also have a persistence layer that's built into our product, you can really determine where's the best home. Is it data that you're going to use a lot and thereby should be really close to where the query engine is? Or is it something where you want to federate it out and leverage that compute at that storage layer itself? That flexibility is really why our customers come to us and are excited to use, start off. >>That's awesome. Great, great stuff. Love, love. The slides. Love to look at some pictures that describe the architecture both as well as the product. I love how you got the enterprise high-grade applications and then you're integrating with other partners. I think that's a really key, uh, value. And I think if you're not integrating well in this modern era, you probably won't be surviving much longer. It's pretty much a game changer at this point when knows that a question on the technology and product. Now keeping it on this theme. What's your secret sauce. Every company's got a secret sauce. What is star dog's secret sauce? >>Our secret sauce is really how do we coordinate across all of those applications? So if you can imagine you have, you know, Oracle database or Redshift repository, and you're trying to be able to unify that data in real time across those applications. There's a lot of thought and needs to go about how to do that efficiently. You don't want to take all the database from both repositories, move them, all that data into one place and then figure it out. And so our query planner, how do we coordinate across the multiple applications is really what makes us different and special >>On the Symantec modeling that you're doing? Because I see there's a lot of data there. You got to kind of get an understanding context. Um, how do you guys look at reusability metadata on data? This has become a very key point on not just data warehouse, but it's becoming much more about addressability and discoverability in as fast as possible, low latency, uh, with intelligence, this has been a big discussion. How do you guys look at that aspect of the reusability of the data? >>Yeah, it's, it's one of the exciting parts about starting with a semantic graph and then extending into these capabilities around virtualization and reasoning and inference by starting with the semantic graph, we allow you to, you know, incrementally invest in building out your model and then being able to reuse that model as you, as you go through your implementations. Yeah. That's been a, a big failing as people have looked at the analytical movements recently is so many times people spin up a repository, they answer a particular question and they do an absolutely fine job, but then we have your next question. You have to spin up another repository, build more views, re ETL the data. And then the semantic technology is what allows you to create that common understanding and reuse it over and over and over again. And I think it's time for that to hit mainstream. You know, it's been around a while. It's something that has taken some time to get some adoption around, but now that we really have build up awareness around it and we've shelled, the technology can scale the large volumes. Uh, I think it's time to be able to leverage the value that reasonability brings. Yeah. >>One final question on the product and the technology and kind of the architecture is how do you guys connect the dots going forward as more and more edge nodes become available in the network as that architecture of hybrid that we talked earlier about becomes so complex and so connected. I mean, you could have more connectedness than ever before. Um, it's very complex networks graph theory, right? You're talking about a lot of edges and a lot of traversal it's billions and billions of edges. I mean, this is it's complicated. How do you guys create, how do you guys see that unfolding and how and why the star dog remained relevant in that configuration? >>Yeah. And the simple fact is that people need help, right? It can't be that you're going to define all those edges and connections by hand yourself through some systems or keys. It's a great way to get started, but it's not sufficient in order to really get the value out of that graph that you expect. And the ways we do that is twofold. The first bit is really an influencing or reasoning capability. Being able to look at this structure of the data, how it's composed and create connections between that data based on, you know, logical, logical rules. The second is machine learning, right? Machine learning is high. We use things like linear regression algorithms or other types of community detection algorithms in order to build more connections in the data so that you can get really unlock that value that you're looking for. When you're leveraging graph technology, >>A lot of secret sauce here, a lot of technology graph, super exciting. Let's get into the final segment around customer traction and what you guys have seen with customers. Um, what are some of the use cases that are popular and what happens if customers aren't going down this road? What are they missing out on? Um, I mean, it's the classic fear of missing out and fear of getting screwed over right. Are going out of business. I mean, that's, that's motivational at some level, but you know, there are the, do I wait and people who waited on cloud computing by the way were left behind and some never survived. So we're almost in this same dynamic with customers. At some point you got to put the toe in the water, so to speak or get going to take us through some customer examples and use cases where, >>Or this is working. Yeah. I think both of those areas are, are, uh, great ones to hit on. So when you think about what are we missing out on one of our largest customer bases really in pharmaceuticals. Yeah. And they're using this technology in order to find more connections in the data so that they can really decrease the amount of time for getting a drug to market on the research and development. They can look more at leveraging the data they've already connected using related items to be able to accelerate their investments and waiting costs them hundreds of millions, if not billions of dollars. So there are certainly ones where being able to adopt this technology early and get value out of early, really pays off in. And they're not the only ones. That's the only, that's the only the life sciences space. But there's also the idea to use it, as you said, really about what else am I missing out on? >>And the data fabric movement, this movement around, how do I lower the cost in my organization about moving data around creating more ETL jobs, leveraging all these data assets already have that the data fabric movement is the idea of how do we really automate that? How do we accelerate that? How do we make that an easier process so that it just doesn't cost as much to manage all this data in an organization. And I've observed that more and more. We have customers coming to us, really interested in this type of use cases that relates to our technology and they are getting ahead of their competitors by really lowering their, it costs in line to focus on these higher value activities. >>Life of the customers is what for you with, with startup? Why, how do they win? What's the reason why they buy and take the freemium. And when do they convert over? Well, take me through the progression of value. When do they see something and why do they increase their sure. >>Assumption? Yeah. That, I mean, the bottom line is you want to try to get more value out of your data at a lower cost and make it easier and faster to do. And so getting started in a single use case, trying out our free version, representing your data and taking a look at what it could look like under a common model, connecting it up with our virtualization services is a great way to try out the technology and really, you know, put your toe in the water to see is this something that would be a value to organization as you see that value unlock is you really understand that you can leverage these days assets with this lower time to value, you know, days in order to unlock a whole repository and connected to another repository. That's where we love to engage with you and help show you how you can make that successful in a more production environment. >>I like about some of the things you're talking about star dog has kind of that aspirin aspect, but also a growth, um, uh, vitamin E as well, in terms of the value proposition, a lot of companies are overwhelmed with the data, but yet you have this path towards more creation of value through the knowledge graph and reasoning and other other value. When does a customer, and this is kind of comes back to the customers who are out there potentially watching prospects or future customers. When do they know they need to call you guys up? Is it because they have too many sources? Could you take me through what it, what it looks like in a prospect's environment where they would really win with start a what's it look like? What are some of the signs that they need to engage, start out? >>Yeah. The two big things that we've seen repeated in our customer base over and over again, is if you have a large number of systems out there that aren't connected, that you don't see how all the data it can be pulled together between those systems, because the different data formats or different languages or different ways that the data is created in those systems start off, can certainly help. The second is if you have a large data warehouse or a data Lake, and you don't see the value being generated out of that, because people don't understand where the data is or what context it has with other data within those repositories, both of those situations are one where we think you'd get a lot of value out of start off. And we'd love to talk to you. >>So would, so just secondly, understand this. So if you have a lot of systems that either are not connected or connected, whatever, that's great, a lot of sources sitting around, you know, whether it's spreadsheets or Oracle or >>Red shift, whatever it is, we've loved it that's right. >>Ingest as much as possible from sources >>That's right. Ingest or connect. I mean, that's really the value that we bring is you don't have to pull it all in. You can just map and leverage the data where it lives. We have customers that have petabyte repositories that just mapped that data in to start off, and we can really facilitate pulling out the value of those systems without you having to move it around again, to another request, >>Ingest, connect, and visually see value. That's right. It sounds, it sounds like a tagline, um, great stuff. So just give some examples of who's using it. What big names? Um, obviously you guys, aren't hot startup coming out of the Amazon cloud showcase. Uh, congratulations. What are some names that have worked with you guys that can give an indicator of the company that you're keeping right now in terms of, >>Yeah, I mean our largest customer by far right now, our longest customer has been NASA. Um, so they've been a really exciting user of the platform we've been really to see them leverage the platform. Schneider electric has been a long time user, uh, Bayer FINRA in the U S which is a financial services watchdog organization. These are customers that are getting a lot of value out of our platform today, and we're excited to work with them. >>Awesome, Rob, great to see you. Congratulations. Uh, take a minute to just give the plug for the commercial. How do we engage? What's the culture like, um, you guys hiring, what's the, what's the state of that? What's the state of the company. >>Yeah, no, it's a, it's a great thank you for, uh, for bringing that up where, you know, we're an exciting growing company. Um, as we really reach out more and more to connect more people's data, we find that we're always looking at more resources on building out more conductivity between the individual data sources. So more understanding on that front, as well as more, a professional services type folks to help people through the process. We've really been trying to minimize the amount of effort that you have to have in order to get started, but we know that people like a helping hands. So we're always looking for people we're always growing and we're excited to have the chance to, you know, bring this technology out beyond just the semantic group that is historically been here. >>You know, you've got a great job. Vice-president solutions consulting, essentially you're in a product role, but more like a solution architect meets products, uh, customer facing, and also product century. You're kind of the center of all the action. So what's the coolest thing you've seen, um, from a customer standpoint or an architecture or, um, a deployment or an engagement that you've been involved with. That's been kind of like, Oh, wow, that's cool. That's game. That's something new that we've been, we wouldn't have seen a few years ago. Take us through just an example, anecdotal, you don't have to share the company name or you. >>That's a great question. Um, there is a company that is working on self-driving cars and being able to leverage the knowledge graph to pull together all of the videos and material they get from the vehicles themselves, as well as static information about the sensors. Uh, that's been pretty exciting to see. I, I, I just recently purchased the festival myself. So I'm excited about the whole self-driving car world and to be able to help them participate with these companies is, is pretty exciting. Um, we, we just help one of the large drug manufacturers come to market with one of their drugs earlier than expected. You know, that's a, that's a pretty exciting feeling to know that you can really help people, um, by just connecting the data they already have and letting them leverage those resources, uh, that that really is something that we're going to be very calm >>And the bridge to the future that the customers have to cross with you is also pretty compelling. You got industrial IOT and more and more data to take a quick minute to describe what that future looks like. >>Yeah. You know, as we see more and more automation in this process, we see a couple of different really, you know, exploding areas. The first off, you know, you hit the nail on the head is data being able to bring in more edge devices, being able to really process that data on the fly and be able to help answer questions as these changes in data are occur within these sources. Um, that's certainly part of the future. And the other thing that we're really excited about is this more automatic data discovery with an organization. How can we have an agent that goes out and kind of can infer really even what your data is about in the structure of your data without a lot of input for you. And so we've been working a lot with building up these models automatically and letting you have the foundation for integrating your data, um, and just the push of a button. So we're excited about walking, Alexa, our customers in this journey as well. >>It's, it's a fun area. You talk about reasoning. That's one of the key value propositions that you guys have. You talk about AI, you talk about bots and soon it's going to be thinking machines for us. They're going to be doing all the work. >>I hope they're not too soon, but I am excited about that idea as well. I can go. I do think that, uh, you know, if you look at organizations today, it's fascinating how it's not, that the problems are different, but we're trying to automate as much of it as possible so that we can work on that, the real value clumps of our organizations. And it's not that kind of drudgery work. I started as a DBA back in my career, um, just trying to keep the database up and running, you know, nowadays, you know, all these autonomous databases and self indexing, and self-correcting, it's just not a passive lead as much anymore. You know, we hope we can bring that to the data infrastructure automation. >>It's a double-edged sword gun, right. It's amazing, done wrong. It could cause some damage and flipped some, some pain and hurt. And so you got to figure it out, got to have the right data sets, gotta have the right software, um, and a great future. Rob Harris, congratulations for being a cannabis startup showcase here on the cube on cloud startups, uh, with AWS, uh, led partnership. Thank you for coming on and being part of this event. Thank you again. Okay. Rob Harris, vice president solutions consulting at star dog here for the coupon cloud. I'm John furrier. Thanks for watching. >>Yeah.

>> Announcer: From the Cube studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is theCube Conversation. >> Hi, I'm Stu Miniman. And welcome to this special presentation. We have a launch from Dell Technologies updates from the VxRail family. We're going to do things a little bit different here. We actually have a launch video Shannon Champion, of Dell Technologies. And the way we do things a lot of times, is, analysts get a little preview or when you're watching things. You might have questions on it. So, rather than me just wanting it, or you wanting yourself I actually brought in a couple of Dell Technologies expertS two of our Cube alumni, happy to welcome you back to the program. Jon Siegal, he is the Vice President of Product Marketing, and Chad Dunn, who's the Vice President of Product Management, both of them with Dell Technologies. Gentlemen, thanks so much for joining us. >> Good to see you Stu. >> Great to be here. >> All right, and so what we're going to do is we're going to be rolling the video here. I've got a button I'm going to press, Andrew will stop it here and then we'll kind of dig in a little bit, go into some questions when we're all done. We're actually holding a crowd chat, where you will be able to ask your questions, talk to the experts and everything. And so a little bit different way to do a product announcement. Hope you enjoy it. And with that, it's VxRail. Taking HCI to the extremes is the theme. We'll see what that means and everything. But without any further ado, let's let Shannon take the video away. >> Hello, and welcome. My name is Shannon Champion, and I'm looking forward to taking you through what's new with VxRail. Let's get started. We have a lot to talk about. Our launch covers new announcements addressing use cases across the Core, Edge and Cloud and spans both new hardware platforms and options, as well as the latest in software innovations. So let's jump right in. Before we talk about our announcements, let's talk about where customers are adopting VxRail today. First of all, on behalf of the entire Dell Technologies and VxRail teams, I want to thank each of our over 8000 customers, big and small in virtually every industry, who've chosen VxRail to address a broad range of workloads, deploying nearly 100,000 nodes today. Thank you. Our promise to you is that we will add new functionality, improve serviceability, and support new use cases, so that we deliver the most value to you, whether in the Core, at the Edge or for the Cloud. In the Core, VxRail from day one has been a catalyst to accelerate IT transformation. Many of our customers started here and many will continue to leverage VxRail to simply extend and enhance your VMware environment. Now we can support even more demanding applications such as In-Memory databases, like SAP HANA, and more AI and ML applications, with support for more and more powerful GPUs. At the Edge, video surveillance, which also uses GPUs, by the way, is an example of a popular use case leveraging VxRail alongside external storage. And right now we all know the enhanced role that IT is playing. And as it relates to VDI, VxRail has always been a great option for that. In the Cloud, it's all about Kubernetes, and how Dell Technologies Cloud platform, which is VCF on VxRail can deliver consistent infrastructure for both traditional and Cloud native applications. And we're doing that together with VMware. VxRail is the only jointly engineered HCI system built with VMware for VMware environments, designed to enhance the native VMware experience. This joint engineering with VMware and investments in software innovation together deliver an optimized operational experience at reduced risk for our customers. >> Alright, so Shannon talked a bit about, the important role of IT Of course right now, with the global pandemic going on. It's really, calling in, essential things, putting, platforms to the test. So, I really love to hear what both of you are hearing from customers. Also, VDI, of course, in the early days, it was, HCI-only-does-VDI. Now, we know there are many solutions, but remote work is putting that back front and center. So, Jon, why don't we start with you as the what is (muffled speaking) >> Absolutely. So first of all, Stu, thank you, I want to do a shout out to our VxRail customers around the world. It's really been humbling, inspiring, and just amazing to see The impact of our VxRail customers around the world and what they're having on on human progress here. Just for a few examples, there are genomics companies that we have running VxRail that have rolled out testing at scale. We also have research universities out in the Netherlands, doing the antibody detection. The US Navy has stood up a floating hospital to of course care for those in need. So we are here to help that's been our message to our customers, but it's amazing to see how much they're helping society during this. So just just a pleasure there. But as you mentioned, just to hit on the VDI comments, so to your points too, HCI, VxRail, VDI, that was an initial use case years ago. And it's been great to see how many of our existing VxRail customers have been able to pivot very quickly leveraging VxRail to add and to help bring their remote workforce online and support them with their existing VxRail. Because VxRail is flexible, it is agile, to be able to support those multiple workloads. And in addition to that, we've also rolled out some new VDI bundles to make it simpler for customers more cost effective cater to everything from knowlEdge workers to multimedia workers. You name it, you know from 250, desktops up to 1000. But again, back to your point VxRail, HCI, is well beyond VDI, it crossed the chasm a couple years ago actually. And VDI now is less than a third of the typical workloads, any of our customers out there, it supports now a range of workloads that you heard from Shannon, whether it's video surveillance, whether it's general purpose, all the way to mission critical applications now with SAP HAN. So, this has changed the game for sure. But the range of work loads and the flexibility of the actual rules which really helping our existing customers during this pandemic. >> Yeah, I agree with you, Jon, we've seen customers really embrace HCI for a number of workloads in their environments, from the ones that we sure all knew and loved back in the initial days of HCI. Now, the mission critical things now to Cloud native workloads as well, and the sort of the efficiencies that customers are able to get from HCI. And specifically, VxRail gives them that ability to pivot. When these, shall we say unexpected circumstances arise? And I think that that's informing their their decisions and their opinions on what their IP strategies look like as they move forward. They want that same level of agility, and ability to react quickly with their overall infrastructure. >> Excellent. Now I want to get into the announcements. What I want my team actually, your team gave me access to the CIO from the city of Amarillo, so maybe they can dig up that footage, talk about how fast they pivoted, using VxRail to really spin up things fast. So let's hear from the announcement first and then definitely want to share that that customer story a little bit later. So let's get to the actual news that Shannon's going to share. >> Okay, now what's new? I am pleased to announce a number of exciting updates and new platforms, to further enable IT modernization across Core, Edge and Cloud. I will cover each of these announcements in more detail, demonstrating how only VxRail can offer the breadth of platform configurations, automation, orchestration and Lifecycle Management, across a fully integrated hardware and software full stack with consistent, simplified operations to address the broadest range of traditional and modern applications. I'll start with hybrid Cloud and recap what you may have seen in the Dell Technologies Cloud announcements just a few weeks ago, related to VMware Cloud foundation on VxRail. Then I'll cover two brand new VxRail hardware platforms and additional options. And finally circle back to talk about the latest enhancements to our VxRail HCI system software capabilities for Lifecycle Management. Let's get started with our new Cloud offerings based on VxRail. VxRail is the HCI foundation for Dell Technologies, Cloud Platform, bringing automation and financial models, similar to public Cloud to On-premises environments. VMware recently introduced Cloud foundation for Delta, which is based on vSphere 7.0. As you likely know by now, vSphere 7.0 was definitely an exciting and highly anticipated release. In keeping with our synchronous release commitment, we introduced VxRail 7.0 based on vSphere 7.0 in late April, which was within 30 days of VMware's release. Two key areas that VMware focused on we're embedding containers and Kubernetes into vSphere, unifying them with virtual machines. And the second is improving the work experience for vSphere administrators with vSphere Lifecycle Manager or VLCM. I'll address the second point a bit in terms of how VxRail fits in in a moment for VCF 4 with Tom Xu, based on vSphere 7.0 customers now have access to a hybrid Cloud platform that supports native Kubernetes workloads and management, as well as your traditional VM-based workloads. So containers are now first class citizens of your private Cloud alongside traditional VMs and this is now available with VCF 4.0, on VxRail 7.0. VxRail's tight integration with VMware Cloud foundation delivers a simple and direct path not only to the hybrid Cloud, but also to deliver Kubernetes at Cloud scale with one complete automated platform. The second Cloud announcement is also exciting. Recent VCF for networking advancements have made it easier than ever to get started with hybrid Cloud, because we're now able to offer a more accessible consolidated architecture. And with that Dell Technologies Cloud platform can now be deployed with a four-node configuration, lowering the cost of an entry level hybrid Cloud. This enables customers to start smaller and grow their Cloud deployment over time. VCF and VxRail can now be deployed in two different ways. For small environments, customers can utilize a consolidated architecture which starts with just four nodes. Since the management and workload domains share resources in this architecture, it's ideal for getting started with an entry level Cloud to run general purpose virtualized workloads with a smaller entry point. Both in terms of required infrastructure footprint as well as cost, but still with a Consistent Cloud operating model. For larger environments where dedicated resources and role-based access control to separate different sets of workloads is usually preferred. You can choose to deploy a standard architecture which starts at eight nodes for independent management and workload domains. A standard implementation is ideal for customers running applications that require dedicated workload domains that includes Horizon, VDI, and vSphere with Kubernetes. >> Alright, Jon, there's definitely been a lot of interest in our community around everything that VMware is doing with vSphere 7.0. understand if you wanted to use the Kubernetes piece, it's VCF as that so we've seen the announcements, Dell, partnering in there it helps us connect that story between, really the VMware strategy and how they talk about Cloud and where does VxRail fit in that overall, Delta Cloud story? >> Absolutely. So first of all Stu, the VxRail course is integral to the Delta Cloud strategy. it's been VCF on VxRail equals the Delta Cloud platform. And this is our flagship on prem Cloud offering, that we've been able to enable operational consistency across any Cloud, whether it's On-prem, in the Edge or in the public Cloud. And we've seen the Dell tech Cloud Platform embraced by customers for a couple key reasons. One is it offers the fastest hybrid Cloud deployment in the market. And this is really, thanks to a new subscription offer that we're now offering out there where in less than 14 days, it can be still up and running. And really, the Dell tech Cloud does bring a lot of flexibility in terms of consumption models, overall when it comes to VxRail. Secondly, I would say is fast and easy upgrades. This is what VxRail brings to the table for all workloads, if you will, into especially critical in the Cloud. So the full automation of Lifecycle Management across the hardware and software stack across the VMware software stack, and in the Dell software and hardware supporting that, together, this enables essentially the third thing, which is customers can just relax. They can be rest assured that their infrastructure will be continuously validated, and always be in a continuously validated state. And this is the kind of thing that those three value propositions together really fit well, with any on-prem Cloud. Now you take what Shannon just mentioned, and the fact that now you can build and run modern applications on the same VxRail infrastructure alongside traditional applications. This is a game changer. >> Yeah, I love it. I remember in the early days talking with Dunn about CI, how does that fit in with Cloud discussion and the line I've used the last couple years is, modernize the platform, then you can modernize the application. So as companies are doing their full modernization, then this plays into what you're talking about. All right, we can let Shannon continue, we can get some more before we dig into some more analysis. >> That's good. >> Let's talk about new hardware platforms and updates. that result in literally thousands of potential new configuration options. covering a wide breadth of modern and traditional application needs across a range of the actual use cases. First up, I am incredibly excited to announce a brand new Dell EMC VxRail series, the D series. This is a ruggedized durable platform that delivers the full power of VxRail for workloads at the Edge in challenging environments or for space constrained areas. VxRail D series offers the same compelling benefits as the rest of the VxRail portfolio with simplicity, agility and lifecycle management. But in a lightweight short depth at only 20 inches, it's adorable form factor that's extremely temperature-resilient, shock resistant, and easily portable. It even meets milspec standards. That means you have the full power of lifecycle automation with VxRail HCI system software and 24 by seven single point of support, enabling you to rapidly react to business needs, no matter the location or how harsh the conditions. So whether you're deploying a data center at a mobile command base, running real-time GPS mapping on the go, or implementing video surveillance in remote areas, you can ensure availability, integrity and confidence for every workload with the new VxRail ruggedized D series. >> All right, Chad we would love for you to bring us in a little bit that what customer requirement for bringing this to market. I remember seeing, Dell servers ruggedized, of course, Edge, really important growth to build on what Jon was talking about, Cloud. So, Chad, bring us inside, what was driving this piece of the offering? >> Sure Stu. Yeah, yeah, having been at the hardware platforms that can go out into some of these remote locations is really important. And that's being driven by the fact that customers are looking for compute performance and storage out at some of these Edges or some of the more exotic locations. whether that's manufacturing plants, oil rigs, submarine ships, military applications, places that we've never heard of. But it's also about extending that operational simplicity of the the sort of way that you're managing your data center that has VxRails you're managing your Edges the same way using the same set of tools. You don't need to learn anything else. So operational simplicity is absolutely key here. But in those locations, you can take a product that's designed for a data center where definitely controlling power cooling space and take it some of these places where you get sand blowing or seven to zero temperatures, could be Baghdad or it could be Ketchikan, Alaska. So we built this D series that was able to go to those extreme locations with extreme heat, extreme cold, extreme altitude, but still offer that operational simplicity. Now military is one of those applications for the rugged platform. If you look at the resistance that it has to heat, it operates at a 45 degrees Celsius or 113 degrees Fahrenheit range, but it can do an excursion up to 55 C or 131 degrees Fahrenheit for up to eight hours. It's also resistant to heat sand, dust, vibration, it's very lightweight, short depth, in fact, it's only 20 inches deep. This is a smallest form factor, obviously that we have in the VxRail family. And it's also built to be able to withstand sudden shocks certified to withstand 40 G's of shock and operation of the 15,000 feet of elevation. Pretty high. And this is sort of like wherever skydivers go to when they want the real thrill of skydiving where you actually need oxygen to, to be for that that altitude. They're milspec-certified. So, MIL-STD-810G, which I keep right beside my bed and read every night. And it comes with a VxRail stick hardening package is packaging scripts so that you can auto lock down the rail environment. And we've got a few other certifications that are on the roadmap now for naval shock requirements. EMI and radiation immunity often. >> Yeah, it's funny, I remember when we first launched it was like, "Oh, well everything's going to white boxes. "And it's going to be massive, "no differentiation between everything out there." If you look at what you're offering, if you look at how public Clouds build their things, but I called it a few years or is there's a pure optimization. So you need to scale, you need similarities but you know you need to fit some, very specific requirements, lots of places, so, interesting stuff. Yeah, certifications, always keep your teams busy. Alright, let's get back to Shannon to view on the report. >> We are also introducing three other hardware-based additions. First, a new VxRail E Series model based on where the first time AMD EPYC processors. These single socket 1U nodes, offer dual socket performance with CPU options that scale from eight to 64 Cores, up to a terabyte of memory and multiple storage options making it an ideal platform for desktop VDI analytics and computer aided design. Next, the addition of the latest Nvidia Quadro RTX GPUs brings the most significant advancement in computer graphics in over a decade to professional work flows. Designers and artists across industries can now expand the boundary of what's possible, working with the largest and most complex graphics rendering, deep learning and visual computing workloads. And Intel Optane DC persistent memory is here, and it offers high performance and significantly increased memory capacity with data persistence at an affordable price. Data persistence is a critical feature that maintains data integrity, even when power is lost, enabling quicker recovery and less downtime. With support for Intel obtain DC persistent memory customers can expand in memory intensive workloads and use cases like SAP HANA. Alright, let's finally dig into our HCI system software, which is the Core differentiation for VxRail regardless of your workload or platform choice. Our joining engineering with VMware and investments in VxRail HCI system software innovation together deliver an optimized operational experience at reduced risk for our customers. Under the covers, VxRail offers best in class hardware, married with VMware HCI software, either vSAN or VCF. But what makes us different stems from our investments to integrate the two. Dell Technologies has a dedicated VxRail team of about 400 people to build market sell and support a fully integrated hyper converged system. That team has also developed our unique VxRail HCI system software, which is a suite of integrated software elements that extend VMware native capabilities to deliver seamless, automated operational experience that customers cannot find elsewhere. The key components of VxRail HCI system software shown around the arc here that include the extra manager, full stack lifecycle management, ecosystem connectors, and support. I don't have time to get into all the details of these elements today, but if you're interested in learning more, I encourage you to meet our experts. And I will tell you how to do that in a moment. I touched on the LCM being a key feature to the vSphere 7.0 earlier and I'd like to take the opportunity to expand on that a bit in the context of VxRail Lifecycle Management. The LCM adds valuable automation to the execution of updates for customers, but it doesn't eliminate the manual work still needed to define and package the updates and validate all of the components prior to applying them. With VxRail customers have all of these areas addressed automatically on their behalf, freeing them to put their time into other important functions for their business. Customers tell us that Lifecycle management continues to be a major source of the maintenance effort they put into their infrastructure, and then it tends to lead to overburden IT staff, that it can cause disruptions to the business if not managed effectively, and that it isn't the most efficient economically. Automation of Lifecycle Management and VxRail results in the utmost simplicity from a customer experience perspective, and offers operational freedom from maintaining infrastructure. But as shown here, our customers not only realize greater IT team efficiencies, they have also reduced downtime with fewer unplanned outages, and reduced overall cost of operations. With VxRail HCI system software, intelligent Lifecycle Management upgrades of the fully integrated hardware and software stack are automated, keeping clusters and continuously validated states while minimizing risks and operational costs. How do we ensure Continuously validated states for VxRail. VxRail labs execute an extensive, automated, repeatable process on every firmware and software upgrade and patch to ensure clusters are in continuously validated states of the customers choosing across their VxRail environment. The VxRail labs are constantly testing, analyzing, optimizing, and sequencing all of the components in the upgrade to execute in a single package for the full stack. All the while VxRail is backed by Dell EMC's world class services and support with a single point of contact for both hardware and software. IT productivity skyrockets with single click non disruptive upgrades of the fully integrated hardware and software stack without the need to do extensive research and testing. taking you to the next VxRail version of your choice, while always in a continuously validated state. You can also confidently execute automated VxRail upgrades. No matter what hardware generation or node types are in the cluster. They don't have to all be the same. And upgrades with VxRail are faster and more efficient with leapfrogging simply choose any VxRail version you desire. And be assured you will get there in a validated state while seamlessly bypassing any other release in between. Only VxRail can do that. >> All right, so Chad, the lifecycle management piece that Shannon was just talking about is, not the sexiest, it's often underappreciated. There's not only the years of experience, but the continuous work you're doing, reminds me back the early vSAN deployments versus VxRail jointly developed, jointly tested between Dell and VMware. So bring us inside why, 2020 Lifecycle Management still, a very important piece, especially in the VM family line. >> Yes, Stu, I think it's sexy, but, I'm pretty big nerd. (all laughing) Yeah, this is really always been our bread and butter. And in fact, it gets even more important, the larger the deployments come, when you start to look at data centers full of VxRails and all the different hardware software, firmware combinations that could exist out there. It's really the value that you get out of that VxRail HCI system software that Shannon was talking about and how it's optimized around the VMware use case. Very tightly integrated with each VMware component, of course, and the intelligence of being able to do all the firmware, all of the drivers, all the software all together in tremendous value to our customers. But to deliver that we really need to make a fairly large investment. So as Shannon mentioned, we run about 25,000 hours of testing across Each major release for patches, express patches, that's about 7000 hours for each of those. So, obviously, there's a lot of parallelism. And we're always developing new test scenarios for each release that we need to build in as we as we introduce new functionality. And one of the key things that we're able to do, as Shannon mentioned, is to be able to leapfrog releases and get you to that next validated state. We've got about 100 engineers just working on creating and executing those test cases on a continuous basis and obviously, a huge amount of automation. And we've talked about that investment to execute those tests. That's one worth of $60 million of investment in our lab. In fact, we've got just over 2000 VxRail units in our testbed across the US, Shanghai, China and Cork, Ireland. So a massive amount of testing of each of those components to make sure that they operate together in a validated state. >> Yeah, well, absolutely, it's super important not only for the day one, but the day two deployments. But I think this actually a great place for us to bring in that customer that Dell gave me access to. So we've got the CIO of Amarillo, Texas, he was an existing VxRail customer. And he's going to explain what happened as to how he needed to react really fast to support the work-from-home initiative, as well as we get to hear in his words the value of what Lifecycle Management means. So Andrew, if we could queue up that customer segment, please? >> It's been massive and it's been interesting to see the IT team absorb it. As we mature, I think they embrace the ability to be innovative and to work with our departments. But this instance, really justified why I was driving progress. So fervently why it was so urgent today. Three years ago, the answer would have been no. We wouldn't have been in a place where we could adapt With VxRail in place, in a week we spun up hundreds of instant balls. We spun up a 75-person call center in a day and a half, for our public health. We rolled out multiple applications for public health so they could do remote clinics. It's given us the flexibility to be able to roll out new solutions very quickly and be very adaptive. And it's not only been apparent to my team, but it's really made an impact on the business. And now what I'm seeing is those of my customers that work, a little lagging or a little conservative, or understanding the impact of modernizing the way they do business because it makes them adaptable as well. >> Alright, so great, Richard, you talked a bunch about the the efficiencies that that the IT put in place, how about that, that overall just managed, you talked about how fast you spun up these new VDI instances. need to be able to do things much simpler? So how does the overall Lifecycle Management fit into this discussion? >> It makes it so much easier. And in the old environment, one, It took a lot of man hours to make change. It was very disruptive, when we did make change, it overburdened, I guess that's the word I'm looking for. It really overburdened our staff to cause disruption to business. That wasn't cost efficient. And then simple things like, I've worked for multi billion dollar companies where we had massive QA environments that replicated production, simply can't afford that at local government. Having this sort of environment lets me do a scaled down QA environment and still get the benefit of rolling out non disruptive change. As I said earlier, it's allowed us to take all of those cycles that we were spending on Lifecycle Management because it's greatly simplified, and move those resources and rescale them in other areas where we can actually have more impact on the business. It's hard to be innovative when 100% of your cycles are just keeping the ship afloat. >> All right, well, nothing better than hearing it straight from the end user, public sector reacting very fast to the COVID-19. And, if you heard him he said, if this is his, before he had run this project, he would not have been able to respond. So I think everybody out there understands, if I didn't actually have access to the latest technology, it would be much harder. All right, I'm looking forward to doing the CrowdChat letting everybody else dig in with questions and get follow up but a little bit more, I believe one more announcement he can and got for us though. Let's roll the final video clip. >> In our latest software release VxRail 4.7.510, We continue to add new automation and self service features. New functionality enables you to schedule and run upgrade health checks in advance of upgrades, to ensure clusters are in a ready state for the next upgrade or patch. This is extremely valuable for customers that have stringent upgrade windows, as they can be assured the clusters will seamlessly upgrade within that window. Of course, running health checks on a regular basis also helps ensure that your clusters are always ready for unscheduled patches and security updates. We are also offering more flexibility and getting all nodes or clusters to a common release level with the ability to reimage nodes or clusters to a specific VxRail version, or down rev one or more nodes that may be shipped at a higher rate than the existing cluster. This enables you to easily choose your validated state when adding new nodes or repurposing nodes in a cluster. To sum up all of our announcements, whether you are accelerating data sets modernization extending HCI to harsh Edge environments, deploying an on-premises Dell Technologies Cloud platform to create a developer ready Kubernetes infrastructure. VxRail is there delivering a turn-key experience that enables you to continuously innovate, realize operational freedom and predictably evolve. VxRail provides an extensive breadth of platform configurations, automation and Lifecycle Management across the integrated hardware and software full stack and consistent hybrid Cloud operations to address the broadest range of traditional and modern applications across Core, Edge and Cloud. I now invite you to engage with us. First, the virtual passport program is an opportunity to have some fun while learning about VxRail new features and functionality and sCore some sweet digital swag while you're at it. Delivered via an augmented reality app. All you need is your device. So go to vxrail.is/passport to get started. And secondly, if you have any questions about anything I talked about or want a deeper conversation, we encourage you to join one of our exclusive VxRail Meet The Experts sessions available for a limited time. First come first served, just go to vxrail.is/expertsession to learn more. >> All right, well, obviously, with everyone being remote, there's different ways we're looking to engage. So we've got the CrowdChat right after this. But Jon, give us a little bit more as to how Dell's making sure to stay in close contact with customers and what you've got for options for them. >> Yeah, absolutely. So as Shannon said, so in lieu of not having done Tech World this year in person, where we could have those great in-person interactions and answer questions, whether it's in the booth or in meeting rooms, we are going to have these Meet The Experts sessions over the next couple weeks, and we're going to put our best and brightest from our technical community and make them accessible to everyone out there. So again, definitely encourage you. We're trying new things here in this virtual environment to ensure that we can still stay in touch, answer questions, be responsive, and really looking forward to, having these conversations over the next couple of weeks. >> All right, well, Jon and Chad, thank you so much. We definitely look forward to the conversation here and continued. If you're here live, definitely go down below and do it if you're watching this on demand. You can see the full transcript of it at crowdchat.net/vxrailrocks. For myself, Shannon on the video, Jon, Chad, Andrew, man in the booth there, thank you so much for watching, and go ahead and join the CrowdChat.

>> Announcer: From the Cube studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is theCube Conversation. >> Hi, I'm Stu Miniman. And welcome to this special presentation. We have a launch from Dell Technologies updates from the VxRail family. We're going to do things a little bit different here. We actually have a launch video Shannon Champion, of Dell Technologies. And the way we do things a lot of times, is, analysts get a little preview or when you're watching things. You might have questions on it. So, rather than me just wanting it, or you wanting yourself I actually brought in a couple of Dell Technologies expertS two of our Cube alumni, happy to welcome you back to the program. Jon Siegal, he is the Vice President of Product Marketing, and Chad Dunn, who's the Vice President of Product Management, both of them with Dell Technologies. Gentlemen, thanks so much for joining us. >> Good to see you Stu. >> Great to be here. >> All right, and so what we're going to do is we're going to be rolling the video here. I've got a button I'm going to press, Andrew will stop it here and then we'll kind of dig in a little bit, go into some questions when we're all done. We're actually holding a crowd chat, where you will be able to ask your questions, talk to the experts and everything. And so a little bit different way to do a product announcement. Hope you enjoy it. And with that, it's VxRail. Taking HCI to the extremes is the theme. We'll see what that means and everything. But without any further ado, let's let Shannon take the video away. >> Hello, and welcome. My name is Shannon Champion, and I'm looking forward to taking you through what's new with VxRail. Let's get started. We have a lot to talk about. Our launch covers new announcements addressing use cases across the Core, Edge and Cloud and spans both new hardware platforms and options, as well as the latest in software innovations. So let's jump right in. Before we talk about our announcements, let's talk about where customers are adopting VxRail today. First of all, on behalf of the entire Dell Technologies and VxRail teams, I want to thank each of our over 8000 customers, big and small in virtually every industry, who've chosen VxRail to address a broad range of workloads, deploying nearly 100,000 nodes today. Thank you. Our promise to you is that we will add new functionality, improve serviceability, and support new use cases, so that we deliver the most value to you, whether in the Core, at the Edge or for the Cloud. In the Core, VxRail from day one has been a catalyst to accelerate IT transformation. Many of our customers started here and many will continue to leverage VxRail to simply extend and enhance your VMware environment. Now we can support even more demanding applications such as In-Memory databases, like SAP HANA, and more AI and ML applications, with support for more and more powerful GPUs. At the Edge, video surveillance, which also uses GPUs, by the way, is an example of a popular use case leveraging VxRail alongside external storage. And right now we all know the enhanced role that IT is playing. And as it relates to VDI, VxRail has always been a great option for that. In the Cloud, it's all about Kubernetes, and how Dell Technologies Cloud platform, which is VCF on VxRail can deliver consistent infrastructure for both traditional and Cloud native applications. And we're doing that together with VMware. VxRail is the only jointly engineered HCI system built with VMware for VMware environments, designed to enhance the native VMware experience. This joint engineering with VMware and investments in software innovation together deliver an optimized operational experience at reduced risk for our customers. >> Alright, so Shannon talked a bit about, the important role of IT Of course right now, with the global pandemic going on. It's really, calling in, essential things, putting, platforms to the test. So, I really love to hear what both of you are hearing from customers. Also, VDI, of course, in the early days, it was, HCI-only-does-VDI. Now, we know there are many solutions, but remote work is putting that back front and center. So, Jon, why don't we start with you as the what is (muffled speaking) >> Absolutely. So first of all, Stu, thank you, I want to do a shout out to our VxRail customers around the world. It's really been humbling, inspiring, and just amazing to see The impact of our VxRail customers around the world and what they're having on on human progress here. Just for a few examples, there are genomics companies that we have running VxRail that have rolled out testing at scale. We also have research universities out in the Netherlands, doing the antibody detection. The US Navy has stood up a floating hospital to of course care for those in need. So we are here to help that's been our message to our customers, but it's amazing to see how much they're helping society during this. So just just a pleasure there. But as you mentioned, just to hit on the VDI comments, so to your points too, HCI, VxRail, VDI, that was an initial use case years ago. And it's been great to see how many of our existing VxRail customers have been able to pivot very quickly leveraging VxRail to add and to help bring their remote workforce online and support them with their existing VxRail. Because VxRail is flexible, it is agile, to be able to support those multiple workloads. And in addition to that, we've also rolled out some new VDI bundles to make it simpler for customers more cost effective cater to everything from knowlEdge workers to multimedia workers. You name it, you know from 250, desktops up to 1000. But again, back to your point VxRail, HCI, is well beyond VDI, it crossed the chasm a couple years ago actually. And VDI now is less than a third of the typical workloads, any of our customers out there, it supports now a range of workloads that you heard from Shannon, whether it's video surveillance, whether it's general purpose, all the way to mission critical applications now with SAP HAN. So, this has changed the game for sure. But the range of work loads and the flexibility of the actual rules which really helping our existing customers during this pandemic. >> Yeah, I agree with you, Jon, we've seen customers really embrace HCI for a number of workloads in their environments, from the ones that we sure all knew and loved back in the initial days of HCI. Now, the mission critical things now to Cloud native workloads as well, and the sort of the efficiencies that customers are able to get from HCI. And specifically, VxRail gives them that ability to pivot. When these, shall we say unexpected circumstances arise? And I think that that's informing their their decisions and their opinions on what their IP strategies look like as they move forward. They want that same level of agility, and ability to react quickly with their overall infrastructure. >> Excellent. Now I want to get into the announcements. What I want my team actually, your team gave me access to the CIO from the city of Amarillo, so maybe they can dig up that footage, talk about how fast they pivoted, using VxRail to really spin up things fast. So let's hear from the announcement first and then definitely want to share that that customer story a little bit later. So let's get to the actual news that Shannon's going to share. >> Okay, now what's new? I am pleased to announce a number of exciting updates and new platforms, to further enable IT modernization across Core, Edge and Cloud. I will cover each of these announcements in more detail, demonstrating how only VxRail can offer the breadth of platform configurations, automation, orchestration and Lifecycle Management, across a fully integrated hardware and software full stack with consistent, simplified operations to address the broadest range of traditional and modern applications. I'll start with hybrid Cloud and recap what you may have seen in the Dell Technologies Cloud announcements just a few weeks ago, related to VMware Cloud foundation on VxRail. Then I'll cover two brand new VxRail hardware platforms and additional options. And finally circle back to talk about the latest enhancements to our VxRail HCI system software capabilities for Lifecycle Management. Let's get started with our new Cloud offerings based on VxRail. VxRail is the HCI foundation for Dell Technologies, Cloud Platform, bringing automation and financial models, similar to public Cloud to On-premises environments. VMware recently introduced Cloud foundation for Delta, which is based on vSphere 7.0. As you likely know by now, vSphere 7.0 was definitely an exciting and highly anticipated release. In keeping with our synchronous release commitment, we introduced VxRail 7.0 based on vSphere 7.0 in late April, which was within 30 days of VMware's release. Two key areas that VMware focused on we're embedding containers and Kubernetes into vSphere, unifying them with virtual machines. And the second is improving the work experience for vSphere administrators with vSphere Lifecycle Manager or VLCM. I'll address the second point a bit in terms of how VxRail fits in in a moment for VCF 4 with Tom Xu, based on vSphere 7.0 customers now have access to a hybrid Cloud platform that supports native Kubernetes workloads and management, as well as your traditional VM-based workloads. So containers are now first class citizens of your private Cloud alongside traditional VMs and this is now available with VCF 4.0, on VxRail 7.0. VxRail's tight integration with VMware Cloud foundation delivers a simple and direct path not only to the hybrid Cloud, but also to deliver Kubernetes at Cloud scale with one complete automated platform. The second Cloud announcement is also exciting. Recent VCF for networking advancements have made it easier than ever to get started with hybrid Cloud, because we're now able to offer a more accessible consolidated architecture. And with that Dell Technologies Cloud platform can now be deployed with a four-node configuration, lowering the cost of an entry level hybrid Cloud. This enables customers to start smaller and grow their Cloud deployment over time. VCF and VxRail can now be deployed in two different ways. For small environments, customers can utilize a consolidated architecture which starts with just four nodes. Since the management and workload domains share resources in this architecture, it's ideal for getting started with an entry level Cloud to run general purpose virtualized workloads with a smaller entry point. Both in terms of required infrastructure footprint as well as cost, but still with a Consistent Cloud operating model. For larger environments where dedicated resources and role-based access control to separate different sets of workloads is usually preferred. You can choose to deploy a standard architecture which starts at eight nodes for independent management and workload domains. A standard implementation is ideal for customers running applications that require dedicated workload domains that includes Horizon, VDI, and vSphere with Kubernetes. >> Alright, Jon, there's definitely been a lot of interest in our community around everything that VMware is doing with vSphere 7.0. understand if you wanted to use the Kubernetes piece, it's VCF as that so we've seen the announcements, Dell, partnering in there it helps us connect that story between, really the VMware strategy and how they talk about Cloud and where does VxRail fit in that overall, Delta Cloud story? >> Absolutely. So first of all Stu, the VxRail course is integral to the Delta Cloud strategy. it's been VCF on VxRail equals the Delta Cloud platform. And this is our flagship on prem Cloud offering, that we've been able to enable operational consistency across any Cloud, whether it's On-prem, in the Edge or in the public Cloud. And we've seen the Dell tech Cloud Platform embraced by customers for a couple key reasons. One is it offers the fastest hybrid Cloud deployment in the market. And this is really, thanks to a new subscription offer that we're now offering out there where in less than 14 days, it can be still up and running. And really, the Dell tech Cloud does bring a lot of flexibility in terms of consumption models, overall when it comes to VxRail. Secondly, I would say is fast and easy upgrades. This is what VxRail brings to the table for all workloads, if you will, into especially critical in the Cloud. So the full automation of Lifecycle Management across the hardware and software stack across the VMware software stack, and in the Dell software and hardware supporting that, together, this enables essentially the third thing, which is customers can just relax. They can be rest assured that their infrastructure will be continuously validated, and always be in a continuously validated state. And this is the kind of thing that those three value propositions together really fit well, with any on-prem Cloud. Now you take what Shannon just mentioned, and the fact that now you can build and run modern applications on the same VxRail infrastructure alongside traditional applications. This is a game changer. >> Yeah, I love it. I remember in the early days talking with Dunn about CI, how does that fit in with Cloud discussion and the line I've used the last couple years is, modernize the platform, then you can modernize the application. So as companies are doing their full modernization, then this plays into what you're talking about. All right, we can let Shannon continue, we can get some more before we dig into some more analysis. >> That's good. >> Let's talk about new hardware platforms and updates. that result in literally thousands of potential new configuration options. covering a wide breadth of modern and traditional application needs across a range of the actual use cases. First up, I am incredibly excited to announce a brand new Dell EMC VxRail series, the D series. This is a ruggedized durable platform that delivers the full power of VxRail for workloads at the Edge in challenging environments or for space constrained areas. VxRail D series offers the same compelling benefits as the rest of the VxRail portfolio with simplicity, agility and lifecycle management. But in a lightweight short depth at only 20 inches, it's adorable form factor that's extremely temperature-resilient, shock resistant, and easily portable. It even meets milspec standards. That means you have the full power of lifecycle automation with VxRail HCI system software and 24 by seven single point of support, enabling you to rapidly react to business needs, no matter the location or how harsh the conditions. So whether you're deploying a data center at a mobile command base, running real-time GPS mapping on the go, or implementing video surveillance in remote areas, you can ensure availability, integrity and confidence for every workload with the new VxRail ruggedized D series. >> All right, Chad we would love for you to bring us in a little bit that what customer requirement for bringing this to market. I remember seeing, Dell servers ruggedized, of course, Edge, really important growth to build on what Jon was talking about, Cloud. So, Chad, bring us inside, what was driving this piece of the offering? >> Sure Stu. Yeah, yeah, having been at the hardware platforms that can go out into some of these remote locations is really important. And that's being driven by the fact that customers are looking for compute performance and storage out at some of these Edges or some of the more exotic locations. whether that's manufacturing plants, oil rigs, submarine ships, military applications, places that we've never heard of. But it's also about extending that operational simplicity of the the sort of way that you're managing your data center that has VxRails you're managing your Edges the same way using the same set of tools. You don't need to learn anything else. So operational simplicity is absolutely key here. But in those locations, you can take a product that's designed for a data center where definitely controlling power cooling space and take it some of these places where you get sand blowing or seven to zero temperatures, could be Baghdad or it could be Ketchikan, Alaska. So we built this D series that was able to go to those extreme locations with extreme heat, extreme cold, extreme altitude, but still offer that operational simplicity. Now military is one of those applications for the rugged platform. If you look at the resistance that it has to heat, it operates at a 45 degrees Celsius or 113 degrees Fahrenheit range, but it can do an excursion up to 55 C or 131 degrees Fahrenheit for up to eight hours. It's also resistant to heat sand, dust, vibration, it's very lightweight, short depth, in fact, it's only 20 inches deep. This is a smallest form factor, obviously that we have in the VxRail family. And it's also built to be able to withstand sudden shocks certified to withstand 40 G's of shock and operation of the 15,000 feet of elevation. Pretty high. And this is sort of like wherever skydivers go to when they want the real thrill of skydiving where you actually need oxygen to, to be for that that altitude. They're milspec-certified. So, MIL-STD-810G, which I keep right beside my bed and read every night. And it comes with a VxRail stick hardening package is packaging scripts so that you can auto lock down the rail environment. And we've got a few other certifications that are on the roadmap now for naval shock requirements. EMI and radiation immunity often. >> Yeah, it's funny, I remember when we first launched it was like, "Oh, well everything's going to white boxes. "And it's going to be massive, "no differentiation between everything out there." If you look at what you're offering, if you look at how public Clouds build their things, but I called it a few years or is there's a pure optimization. So you need to scale, you need similarities but you know you need to fit some, very specific requirements, lots of places, so, interesting stuff. Yeah, certifications, always keep your teams busy. Alright, let's get back to Shannon to view on the report. >> We are also introducing three other hardware-based additions. First, a new VxRail E Series model based on where the first time AMD EPYC processors. These single socket 1U nodes, offer dual socket performance with CPU options that scale from eight to 64 Cores, up to a terabyte of memory and multiple storage options making it an ideal platform for desktop VDI analytics and computer aided design. Next, the addition of the latest Nvidia Quadro RTX GPUs brings the most significant advancement in computer graphics in over a decade to professional work flows. Designers and artists across industries can now expand the boundary of what's possible, working with the largest and most complex graphics rendering, deep learning and visual computing workloads. And Intel Optane DC persistent memory is here, and it offers high performance and significantly increased memory capacity with data persistence at an affordable price. Data persistence is a critical feature that maintains data integrity, even when power is lost, enabling quicker recovery and less downtime. With support for Intel obtain DC persistent memory customers can expand in memory intensive workloads and use cases like SAP HANA. Alright, let's finally dig into our HCI system software, which is the Core differentiation for VxRail regardless of your workload or platform choice. Our joining engineering with VMware and investments in VxRail HCI system software innovation together deliver an optimized operational experience at reduced risk for our customers. Under the covers, VxRail offers best in class hardware, married with VMware HCI software, either vSAN or VCF. But what makes us different stems from our investments to integrate the two. Dell Technologies has a dedicated VxRail team of about 400 people to build market sell and support a fully integrated hyper converged system. That team has also developed our unique VxRail HCI system software, which is a suite of integrated software elements that extend VMware native capabilities to deliver seamless, automated operational experience that customers cannot find elsewhere. The key components of VxRail HCI system software shown around the arc here that include the extra manager, full stack lifecycle management, ecosystem connectors, and support. I don't have time to get into all the details of these elements today, but if you're interested in learning more, I encourage you to meet our experts. And I will tell you how to do that in a moment. I touched on the LCM being a key feature to the vSphere 7.0 earlier and I'd like to take the opportunity to expand on that a bit in the context of VxRail Lifecycle Management. The LCM adds valuable automation to the execution of updates for customers, but it doesn't eliminate the manual work still needed to define and package the updates and validate all of the components prior to applying them. With VxRail customers have all of these areas addressed automatically on their behalf, freeing them to put their time into other important functions for their business. Customers tell us that Lifecycle management continues to be a major source of the maintenance effort they put into their infrastructure, and then it tends to lead to overburden IT staff, that it can cause disruptions to the business if not managed effectively, and that it isn't the most efficient economically. Automation of Lifecycle Management and VxRail results in the utmost simplicity from a customer experience perspective, and offers operational freedom from maintaining infrastructure. But as shown here, our customers not only realize greater IT team efficiencies, they have also reduced downtime with fewer unplanned outages, and reduced overall cost of operations. With VxRail HCI system software, intelligent Lifecycle Management upgrades of the fully integrated hardware and software stack are automated, keeping clusters and continuously validated states while minimizing risks and operational costs. How do we ensure Continuously validated states for VxRail. VxRail labs execute an extensive, automated, repeatable process on every firmware and software upgrade and patch to ensure clusters are in continuously validated states of the customers choosing across their VxRail environment. The VxRail labs are constantly testing, analyzing, optimizing, and sequencing all of the components in the upgrade to execute in a single package for the full stack. All the while VxRail is backed by Dell EMC's world class services and support with a single point of contact for both hardware and software. IT productivity skyrockets with single click non disruptive upgrades of the fully integrated hardware and software stack without the need to do extensive research and testing. taking you to the next VxRail version of your choice, while always in a continuously validated state. You can also confidently execute automated VxRail upgrades. No matter what hardware generation or node types are in the cluster. They don't have to all be the same. And upgrades with VxRail are faster and more efficient with leapfrogging simply choose any VxRail version you desire. And be assured you will get there in a validated state while seamlessly bypassing any other release in between. Only VxRail can do that. >> All right, so Chad, the lifecycle management piece that Shannon was just talking about is, not the sexiest, it's often underappreciated. There's not only the years of experience, but the continuous work you're doing, reminds me back the early vSAN deployments versus VxRail jointly developed, jointly tested between Dell and VMware. So bring us inside why, 2020 Lifecycle Management still, a very important piece, especially in the VM family line. >> Yes, Stu, I think it's sexy, but, I'm pretty big nerd. (all laughing) Yeah, this is really always been our bread and butter. And in fact, it gets even more important, the larger the deployments come, when you start to look at data centers full of VxRails and all the different hardware software, firmware combinations that could exist out there. It's really the value that you get out of that VxRail HCI system software that Shannon was talking about and how it's optimized around the VMware use case. Very tightly integrated with each VMware component, of course, and the intelligence of being able to do all the firmware, all of the drivers, all the software all together in tremendous value to our customers. But to deliver that we really need to make a fairly large investment. So as Shannon mentioned, we run about 25,000 hours of testing across Each major release for patches, express patches, that's about 7000 hours for each of those. So, obviously, there's a lot of parallelism. And we're always developing new test scenarios for each release that we need to build in as we as we introduce new functionality. And one of the key things that we're able to do, as Shannon mentioned, is to be able to leapfrog releases and get you to that next validated state. We've got about 100 engineers just working on creating and executing those test cases on a continuous basis and obviously, a huge amount of automation. And we've talked about that investment to execute those tests. That's one worth of $60 million of investment in our lab. In fact, we've got just over 2000 VxRail units in our testbed across the US, Shanghai, China and Cork, Ireland. So a massive amount of testing of each of those components to make sure that they operate together in a validated state. >> Yeah, well, absolutely, it's super important not only for the day one, but the day two deployments. But I think this actually a great place for us to bring in that customer that Dell gave me access to. So we've got the CIO of Amarillo, Texas, he was an existing VxRail customer. And he's going to explain what happened as to how he needed to react really fast to support the work-from-home initiative, as well as we get to hear in his words the value of what Lifecycle Management means. So Andrew, if we could queue up that customer segment, please? >> It's been massive and it's been interesting to see the IT team absorb it. As we mature, I think they embrace the ability to be innovative and to work with our departments. But this instance, really justified why I was driving progress. So fervently why it was so urgent today. Three years ago, the answer would have been no. We wouldn't have been in a place where we could adapt With VxRail in place, in a week we spun up hundreds of instant balls. We spun up a 75-person call center in a day and a half, for our public health. We rolled out multiple applications for public health so they could do remote clinics. It's given us the flexibility to be able to roll out new solutions very quickly and be very adaptive. And it's not only been apparent to my team, but it's really made an impact on the business. And now what I'm seeing is those of my customers that work, a little lagging or a little conservative, or understanding the impact of modernizing the way they do business because it makes them adaptable as well. >> Alright, so great, Richard, you talked a bunch about the the efficiencies that that the IT put in place, how about that, that overall just managed, you talked about how fast you spun up these new VDI instances. need to be able to do things much simpler? So how does the overall Lifecycle Management fit into this discussion? >> It makes it so much easier. And in the old environment, one, It took a lot of man hours to make change. It was very disruptive, when we did make change, it overburdened, I guess that's the word I'm looking for. It really overburdened our staff to cause disruption to business. That wasn't cost efficient. And then simple things like, I've worked for multi billion dollar companies where we had massive QA environments that replicated production, simply can't afford that at local government. Having this sort of environment lets me do a scaled down QA environment and still get the benefit of rolling out non disruptive change. As I said earlier, it's allowed us to take all of those cycles that we were spending on Lifecycle Management because it's greatly simplified, and move those resources and rescale them in other areas where we can actually have more impact on the business. It's hard to be innovative when 100% of your cycles are just keeping the ship afloat. >> All right, well, nothing better than hearing it straight from the end user, public sector reacting very fast to the COVID-19. And, if you heard him he said, if this is his, before he had run this project, he would not have been able to respond. So I think everybody out there understands, if I didn't actually have access to the latest technology, it would be much harder. All right, I'm looking forward to doing the CrowdChat letting everybody else dig in with questions and get follow up but a little bit more, I believe one more announcement he can and got for us though. Let's roll the final video clip. >> In our latest software release VxRail 4.7.510, We continue to add new automation and self service features. New functionality enables you to schedule and run upgrade health checks in advance of upgrades, to ensure clusters are in a ready state for the next upgrade or patch. This is extremely valuable for customers that have stringent upgrade windows, as they can be assured the clusters will seamlessly upgrade within that window. Of course, running health checks on a regular basis also helps ensure that your clusters are always ready for unscheduled patches and security updates. We are also offering more flexibility and getting all nodes or clusters to a common release level with the ability to reimage nodes or clusters to a specific VxRail version, or down rev one or more nodes that may be shipped at a higher rate than the existing cluster. This enables you to easily choose your validated state when adding new nodes or repurposing nodes in a cluster. To sum up all of our announcements, whether you are accelerating data sets modernization extending HCI to harsh Edge environments, deploying an on-premises Dell Technologies Cloud platform to create a developer ready Kubernetes infrastructure. VxRail is there delivering a turn-key experience that enables you to continuously innovate, realize operational freedom and predictably evolve. VxRail provides an extensive breadth of platform configurations, automation and Lifecycle Management across the integrated hardware and software full stack and consistent hybrid Cloud operations to address the broadest range of traditional and modern applications across Core, Edge and Cloud. I now invite you to engage with us. First, the virtual passport program is an opportunity to have some fun while learning about VxRail new features and functionality and sCore some sweet digital swag while you're at it. Delivered via an augmented reality app. All you need is your device. So go to vxrail.is/passport to get started. And secondly, if you have any questions about anything I talked about or want a deeper conversation, we encourage you to join one of our exclusive VxRail Meet The Experts sessions available for a limited time. First come first served, just go to vxrail.is/expertsession to learn more. >> All right, well, obviously, with everyone being remote, there's different ways we're looking to engage. So we've got the CrowdChat right after this. But Jon, give us a little bit more as to how Dell's making sure to stay in close contact with customers and what you've got for options for them. >> Yeah, absolutely. So as Shannon said, so in lieu of not having done Tech World this year in person, where we could have those great in-person interactions and answer questions, whether it's in the booth or in meeting rooms, we are going to have these Meet The Experts sessions over the next couple weeks, and we're going to put our best and brightest from our technical community and make them accessible to everyone out there. So again, definitely encourage you. We're trying new things here in this virtual environment to ensure that we can still stay in touch, answer questions, be responsive, and really looking forward to, having these conversations over the next couple of weeks. >> All right, well, Jon and Chad, thank you so much. We definitely look forward to the conversation here and continued. If you're here live, definitely go down below and do it if you're watching this on demand. You can see the full transcript of it at crowdchat.net/vxrailrocks. For myself, Shannon on the video, Jon, Chad, Andrew, man in the booth there, thank you so much for watching, and go ahead and join the CrowdChat.

from the cube studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cube conversation everyone welcome to this cube conversation here in the cubes Palo Alto Studios we're here with the quarantine crew I'm John for your host we've got a great guest John Madison CMO an EVP of products of Fortinet and today more than ever in this changing landscape accelerating faster and faster certainly as this covin 19 crisis has forced business to realize a lot of the at scale problems are at hand and a lot of things are exposed in terms of problems and opportunities you have to take care of one of them security John thanks for coming on cube and looking forward to chatting about your recent event you had this week and also the updates at Florida thanks for joining me yeah it's great to be here John so more than ever the innovation strategies are not just talking points anymore in board meetings or companies there's they actually have to come out of this pandemic and operate through it with real innovation with actionable outcomes they've got to get their house in order you're seeing projects really focusing in on the at scale problems which is essentially keep the network's run and keep the sick the security fabric in place this is critical path stuff but the innovation coming out of it has to be a growth play for companies and this has been a big thing so you guys are in the middle of it we've chatted about all the four to guard stuff and all this you're seeing all the traffic you're seeing all the all the impact this work at home has forced companies to not only deal to new realities but it's exposed some things they need to double down on and things they need to either get rid of or fix fast what's your take on all this yeah you know I think it took a lot of people by surprise and the first thing I would like to do is you know spank our employees our customers and partners for the work they've done in the last six to seven weeks now what was happening was a lot of customers had built their work from home programs around a certain percentage 5% 10% 15% and that's what they scaled it for then all of a sudden you know everybody had to work from home and so you went from maybe a thousand people to 10,000 or 5,000 to 50,000 they had to scale very quickly because this had to be implemented in hours and days not weeks and months luckily our systems are able to gaile very quickly we can scale using a security processing units which offload the CPU and allow a lot of users simultaneously to access through VPN SSL VPN IPSec VPN and then we have an implementation at home ranging from a very simple Microsoft Wyant all the way to our clients all the way to even off Buda gate firewalls at home so we really did work very hard to make sure that our customers could maintain their business proposition during these times you know I want to get those work at home and I think it's a little big Sdn story and you guys have been on for a long time I mean we've talked with your you and your folks many times around st Wynn and what it means to to have that in place but this work at home those numbers are off the charts strange and this is disruption this was an unforeseen disruption it's not like a hurricane or flood this is real and we've also talked with you guys and your team around the endpoint you know the edge of the network that's the explosion of the billions of edges this is just an industry kind of inside baseball conversation and then also the immersion of the lifestyle we now live in so you have a world where it was inside baseball for this industry now every company and everyone's feeling it this is a huge issue I'm at home I got to protect myself I got data I gotta have a VPN I mean this is a reality that just wasn't seen I mean what do you guys are what are you guys doing in this area well I think it changes that this long-term architect and so you know the past we talked about there being millions of edges and people go how many billions of edges and what's happened is if you're working from home that's an edge and so the long term architecture means that companies need to take care of where their network edges are now the SEM at home they had them at the branch office they have them at the end of prize and the data center in the cloud then we need to decide know where to apply the security is it at the endpoint is it at the edges is the data center or bout an S T one is absolutely essential because every edge you'll have whether that were home now whether it be in your data center or eCampus on the cloud needs that st-1 technology and make sure you can guide the applications in a secure manner what's interesting is I actually deployed st-1 in my home here I've got two ISP connections one week I'm casting off with AT&T now that may be overkill right now for most people about putting st-1 in their homes but I think long-term homes are gonna be part of the enterprise network it's just another eight take a minute to explain the SD win I would call it the this is a mill especially this is not your grandfather's st win I mean it's changed st when is the internet I mean basically at home what does that mean if users don't know care what the products are at the end of the day they're working at home so kind of SD win has taken on a new broader scope if you will it's not just the classic SD win or is it can you take us through I mean and this is a category that's becoming much broader what's your what's your nails is there yeah again I'm not saying that you know consumers are gonna be putting SD wine in the homes right now but if I'm an executive and I rely on my communication out there are lots of meetings during the day work from home I want it to be as reliable as possible so if my one is pee goes down and I can't get on the internet that's an issue if I have to ISPs I have much higher availability but more importantly us you and I can guide the applications where I want when they want I can make sure you know my normal home traffic goes off certain direction the certain on a VLAN and segmentation policy whereas my war can be completely set out so again I you know I think SDRAM technology is important for the home long term is important for the branch for the enterprise and the data center and Earls St ones built into all up all our forty gates have sp1 you just switch it on we think it's a four essential technology going forward to drive that cloud on-ramp real quick follow-up on that for the folks in the enterprise I see the enterprise will make it easier for their customers their users who are at home so it feels consumer II invisible if you will I think that's the short-term what's what are what are you seeing your customers and prospective customers thinking when they come back or as they operate now in this new reality when they say you know what we really miss forecasted this now they have to get back to business what are they gonna do do they do more sta on I mean what's the architecture how does that get done what's the conversation like you know as this evolved for the next it's gonna slowly open up it still it's going to be a new reality for at least 12 months what's the conversation with the customer right now when it comes to going in and taking care of this so it doesn't happen again yeah what I'm doing actually actually what I'm doing a lot of virtual ABC's obviously we usually have 200 our customers that come to our corporate quarters or executive briefings and I'm doing actually more virtually and a lot of the opening conversations is they don't think they're gonna go completely Hunter's under percent back to where they were there's always going to be now a fraction of work-from-home people they may move around some of their physical location so as I said the ST when is that piece on the edge whether it be your home ranch campus or data centers gonna be there to guide the applications guide the users and devices to the right applications of wherever they may be as it could be in the cloud of communion data center it could be anywhere and then the key conversation thereafter for customers long-term architecture wise is where do I apply my security stack and the security spat consists of basic things like antivirus all right yes more detection capabilities even even response to Isis given that stack how much do I put in the edge how much do I put in my endpoint how much do I put my branch how much I put in my campus data center and cloud and then how do I maintain a policy a single policy across all of those and then now and again maybe I have to move that stack cross so that's going to be the key long term architecture question for enterprises as they move to a slightly different composition of workforce in different locations is hey I've got to make sure every edge that I have I identify and I secure when SP ran and then how do I apply the security stack cross all the diff tell great insight thanks for sharing that I want to get your take on now speaking of working at home you're also the CMO as well as the EVP of products which is a unique job because you can talk about any think when the cube we love it you had an event accelerate 2020 the folks watching go to the hashtag on Twitter hashtag accelerate 20 that's the hash tag you'll see a lot of the the pictures of the slides and some commentary I was laying down some tweets all the analysts were as well what are some of the highlights for you is a great presentation by the CEO you gave a talk and there's a lot of breakouts you had to do a digital event because you couldn't hold the physical event so you kind of had a shelter-in-place kind of and how did it go and what are some of the highlights yeah on the one side I was a bit sad you know we had or what we call accelerates arrange for this year in Barcelona and New York Mexico and San Jose we had to cancel war for them and I'm very quickly spin up a digital event a virtual event and you know we end up there's some initial targets around you know you know each of our physical events we get between two and three thousand and so we're thinking you know if we got to ten thousand this would be great we actually ended up with thirty thirty-two thousand or something like that registered and actually the percentage that showed off was even higher so we had over 20,000 people actually come online and go through our keynotes we built it so you go through the keynotes then you can go off to the painting what we call the breakouts for more detail we did verticals oh it did more technology sessions and so it's great and you know we tried our best to answer the questions online because these things are on demand we had three we had one for the u.s. one premiere and won't write back and so there was times but to get that sort of exposure to me is amazing twenty thousand people on there listening and it connects into another subject which is education and fun yet for some time as invested I would say you know my CEO says but I'll invest a bit more in education versus the marketing advertising budget now go okay okay that's that hey we'll work on that but education for us we announced a few weeks ago that education is now training is free for customers for everybody and we'd also been you know leading the way by providing free training for our partners now it's completely free for everybody we have something called the network security expert which goes from one to eight one and two of that are actually open to the public right now and if I go to the end of last year we had about two to three thousand people maybe a week come on and do the training obviously majority doing the NSC one courses you get further through to eight it's more technical last week we had over eighty thousand people we just think about those numbers incredible because people you know having more time let's do the training and finding is as they're doing this training going up the stack more quickly and they're able to implement their tools more quickly so training for us is just exploded off the map and I and there's a new reality of all the unemployment and also people are at home and there's a lot of job about the skill gap before in another cube conversation it's it's more apparent than ever and why not make it free give people some hope give them some tools to be successful there's demand yes and it's not you know it's not just them you know IT professionals are Ennis e1 is a foundational course and you'll see kids and students and universities doing it and so Ben Mars granddad's dad's doing it so we we're getting all sorts of comments and social media about the training you know our foundation great stuff has a great we'll put a plug on that when should we get that amplified for its really good stuff I got to ask you about the event one of the things I really like about the presentation was from your CEO and you gave one as well was the clarity around the vision of security and a couple of things that were notable to me was the confluence of the collision between networking and security and at the intersection of those two forces you have an accelerated integrated policy dynamic to me this is the heart of DevOps of what used to be in cloud being kind of applied to security you have data you got all kinds of new things emerging new patterns new signals that's security so you got to be you got to be fast you got to identify things so you guys are in this business that's one force and the other one was the billions of edges and this idea that there's no perimeter so it's everything's immersive so illustrate some points of validation on that from your standpoint is that how you guys are seeing it unfold in the future is that happening now can you give us a feeling for whether where we are and that those those kind of paradigms yeah good point so I think it's been happening it's happening now has been happening the future you know if you look at networking and our CEO Enzi talked about this and that networking hasn't really cheer outing and switching we go back to 2000 we had 100 mega under megabit now you have formed a gigabit but the basic function we haven't really changed that much securities different we've gone from a firewall and we add VPN then we at next-gen firewall then we had SSL inspection now we've added sd1 and so this collisions kind of an equal in that you know networking's sped ahead and firewalling is stayed behind because it's just got too many applications on that so the basic principle premise of the company of putting net is to build and bring that together so it's best of all accelerate the basic security network security functions so you can consolidate multiple functions on one system and then bring networking and security together a really good example of security where or nexium firewall where you can accelerate and so our security processing units and my analogy simple analogy is GPUs inside games where their GPU offloads CPU to allow rendering to happen very quick it's the same for us RSP use way of a network SPU and we have a Content SPU which all flows the CPU to allow a security and networking do it be accelerated work now coming to your second point about the perimeter I I'm not quite sure whether the perimeters disappear and the reason I say that is customer still goes they have firewalls on the front of the networks they have endpoint protection they have protection in the cloud so it's not that the perimeters disappeared it's just but much larger and so now the perimeters sitting across all your infrastructure your endpoints your in factories you got IOT devices you've got workloads in different powered and that means you need to look very carefully at those and give visibility initially and then apply the control that control maybe it's a ten-point security it may be SD mine at the edge it may be a compliance template in the cloud but you need visibility of all those edges which have been created with the perimeters reading across the image it's interesting you bring up a good point we always have kind of debates over beers on this on this topic you know the old model was mote you know get the castle and the gate but here the perimeter of the edge if you believe there's an edge and I do believe you find it perfectly the edge is a perimeter it's an endpoint right so it's a door into the internet so are the network so is the perimeter just an end adorn there's more doors right so or service yeah just think about it the castle would did multiple doors is the back everyone's the door there's this dozle someday and you have to define those H's and have visibility of them and that's why things like network access control know for you know zero trust network access is really important making sure you kind of look at the edge inside your way and so your data center and then it's like you powd what workloads are spinning off and what's the configuration and what's there what's from a data perspective right your recommendation and I'm a customer looking at my network I got compute I got edge devices and users I realized there's a billions of edges on my network now and the realities hit me I wasn't really being proactive on investing what do I do what's the PlayBook for me as I start to rethink that and what do I put into place how do I get going now I got to rethink it I now recognize I got full validation I got to manage this I got to do something what's your recommendation to me if I'm a customer the key to me is and I've had this conversation now for the last five years and it's getting louder and louder and that is I suppose I spend a lot of money on point solution point but even end point may have five point products on there and so they're getting to the conclusion it's just too hard to manage I can't find all the right people I get so many alerts from so many security systems I can't work out what's going on and the conversation now is how do I deploy a platform we call it the security fabric now I don't deploy that fabric across my network I'm not saying you should go from 30 vendors to one vendor that would be nice of course but I what I'm saying as you go from 30 vendors down to maybe five or six platform the platform's perform multiple functions it could be they're out there you attach a platform a designer platform just birth protector or a particular organization or part of the network and so the platform allows you then to build automation and the automation allows you to see things more quickly and react to things more quickly and do things without manual intervention the platform approach it's absolutely starting to resonate yes you've still got very very large customers who put everything into segments of a C's Exedra book most customers now moving towards a yeah I think you know as you see and again back to that collision with the end of the intersection we have integrated policies if you're gonna do any integration which is the data problem so we talk about all the time to a lot of different tools can create silos and there's a use case for that but also creates problematic situations I mean a platform gives you a much more robust capability to be adaptive to be real time to program and automate yeah it's it's it's an issue if you've got 30 vendors and just be honest it's also an issue in the industry so I mean networking the story kind of worked out how to work together you can use the same different vendor switches and routers and they roughly work together with cybersecurity they've all been deal you know built totally separately not to even work and that's why you've got these multiple layers you've got a product the security problem then this got its own analytics engine and manager then you've got a manager of managers and an analyzer of analyzers and the sim system and then a saw I mean just goes on it makes it so complex for people and that's why I think they look into something a bit more simplified but most importantly the platform must be friendly from a consumption model you must be able to do an appliance where you need to do virtual machine SAS cloud native container whatever it may be because that network has changed in those ages as those edges move you've got them to have a platform that adaptable to the consumption model require you know I had a great cartridge with Phil Quaid you see your seaso over there and we were chatting around you know this idea of I won't say customization but there's no one turnkey monolithic application it seems to these platforms tend to be enabling where the seaso trend is to have teams building ok and and and almost a customized but building software to automate to solve their use case for their outcome so enabling that is a trend we're seeing so I think you guys are on the right track there any comment on your take on this enabling platform is that something that you guys are seeing that CSIS is looking at more in-house development more use case focus because they have the data they got real-time they need to be building on a platform not told what they could do yeah I think you've always had this this network team trying to build things fast and open and the security team trying to post things down and make it more secure you know it becomes even more problematic if you kind of go to the cloud where you've got pockets a developer's kind of thing do things in the DevOps way really as fast as possible and sometimes the controls are not put in place in fact no the big as I said the biggest issue for the cloud is not so much you know malware it it's more about miss configuration that's why you're seeing the big breaches and that's more of a customer thing to do and so I think what the seaso is trying to do is make sure they apply the controls appropriately and again their job has become much harder now we've got all the multitude of endpoints that they didn't have before they've got now there when that's not just the closed MPLS network is old off different types of broadband 5 G's coming towards the end of this year next year as well the data centers may have decreased a bit but they've still got datacenter capacity and they're probably got 5 or 6 hours and 20 different SAS applications that put a deal with and they've got to deal with developers in there so it's a harder job for them and they need to melt or add those tools but come back to that single point of management great stuff John Madison CMO EVP great insight there it's almost a master class right there you laid it all out on what's going on a final question any change is what any other news updates on the four net front I know you guys got some answer I didn't see the breakouts of the session I had something else going on I think I've been walking dog and do some other things but you know being at home and to take care of things what's new what's what's out that people might have missed that's coming out of for today you're telling me you didn't have 60 hour a breakout on dedicated I don't think yeah we've you know we've have a lot going on you know we have a big R&D team here in North America and Canada and with a lot of products coming out this time of the year we bring out our 40 OS network operating system with 6.4 over 300 new features inside there including new orchestration systems for sp1 and then also we actually launched on network processor seven and the board gate already 200 F powered by four network processor sevens it's some system out there and provide over 800 gigs of fire or capacities but in bill V explain acceleration they can do things like elephant flows huge flows of data so there's always there's always new products coming out of 14 it sure those are the two big ones for this quarter you guys certainly are great interviews to talk to great a lot of expertise there final final question you know everyone every company's got their culture Moore's laws cadence of Moore's laws Intel faster cheaper smaller what's the for Annette culture if you had to kind of boil it down what's it you guys are always pushing great products out there all high quality I'll see security you got to be buttoned up and have good ops and controls but you still need to push the envelope and have stadia what's the culture if you had to kind of boil the culture down for Porter net what would it be that's always an interesting question and so the company's been going since 2000 okay the founders are still there NZ's CEO and Michael Z's the CTO and I think that one of the philosophies is that listen to the customer very closely because you can get distracted by shiny objects all over the place I want to go and do this oh yeah let's build this what about this and in the end the customer and and what they want may get lost and so we listen very closely we use you know we have a very high content of technology people who can translate the customer use case into what we should build and so I think that's the culture we have and maintain that so we're very close to our customers we've been building very quickly for them make sure it works it needs tweaking then we'll look at it again a very very customer driven always great to hear from the founders you guys had a great event accelerate 20 that's the hashtag some great highlights on Twitter some commentary there and of course go to Ford a net site to check out the replays Sean man so thanks for taking the time to share your insights here on the cube conversation I really appreciate it thank you okay it's cube concert here in Palo Alto we're bringing you all the interviews during this time we have our quarantine crew the cube is virtual we'll do whatever it takes to get the interviews out there and get the stories out there and the people behind the tech making it happen I'm John Fourier thanks for watching [Music]

>>Live from San Francisco. It's the cube covering my groin insight 2019 brought to you by micron. >>We're back at pier 27 in San Francisco. This is the cube, the leader in live tech coverage and we're covering micron insight 2019 I'm Dave Vellante with my cohost David Floyd and this event is kind of interesting. David, it basically intersperses cube interviews with big tent discussions, thought leadership, we've heard from automotive, healthcare and and 5g discussions and no Han is here. He's the vice president and CTO of the emerging business at Erickson. And you were just on a panel. Welcome to the cube. Thanks. Great to be here. You were talking about five G, we're going to talk about five G. so first of all, talking about the emerging business at Ericsson, >>your whole group, you know, so Ericsson, we, you know, 99 a lot of our business today has done what operators emerging business group, we're sort of looking at the intersection of industry, cloud computing, our traditional mobile network operator customers, and how do we, how do we put those together and look for new either products or business models. And really create something new for customers. >>So we tell him when he's talking about five G, everybody gets all excited. Certainly the technology community is excited about it. There's a whole value chain and an ecosystem that's that's pumping right along. The carriers are adopting and the users are just waiting. So what should we know about? >>So I, you know, I think there's a couple of different things. One is from a consumer perspective, you're definitely looking at faster, you know, better. All of the things we've got from the other GS at older things. You know, today, you know, faster downloads of movies. I think what we're, and I'm, I'm in the tech business, not in the prediction business, you know. So I think what we've learned from previous technologies is we almost don't know what the new applications are. We're trying to make the platform as easy as possible for developers to utilize what the network actually has to offer. So I think that's a big part of what we're trying to do. The other part is enhancing what you have today as a consumer is massive, but also industries is a huge pull on 5g. So we talked about industry four. Dot. Zero and really transforming industries and cutting the cables in production lines, allowing monitoring of systems that never happened before. >>A lot of use cases that can be out there. So a, I have a younger son of 22 and I look at my a bill every month. Yeah, I do have him downloading 10 times more data. It doesn't fill me with uh, duty or just the excise to carriers. I mean while we've seen with every, every end. And of course that was the question how much of a down, yeah, how much low is the price going to be on this baffled breeze you go to invest an awful lot. Absolutely. So I mean we're going to see it tens, 10 orders of magnitude cheaper. So even as it is now with 4g, we're seeing a lot of the unlimited plans coming available and so on. I think we're just going to see more of that. And then the question, actually a big question for five G is what will you pay for? >>You know, if we talk about age compute and low latency, if you're a gamer and I can give you X milliseconds of latency versus you know, a two X milliseconds, how much would you pay for that? So I think what we know at the moment is people will pay for that. We don't know exactly how much, and that's where you need the ecosystem and you need to get stuff out there. And actually some of the economic impact is fuzzy. But in thinking past, there's no prologue. But if you think about the other GS as they sort of were adopted, what can we learn from those? And how do you think five G will be different in terms of its adoption and economic impact? Let's say if you look at adoption, I mean just a number of contracts. We have the number of deployments we have globally, just off the charts in terms of where we are with 4g Korea launched and a few months ago, just just before the summer, within two months they had a million 5g subscribers with smart phones in their eyes and two months later they added a second million subscribers. >>I mean for a market to go from zero to that in, in that period of time with smartphones, if we go back to 4g, all of that was with dongles and sort of hotspots on routers, you know, so to jump directly to smartphones, huge adoption, it's going to happen fast. Well what do you, what are the sequence, what's the sequence of events that have to occur for adoption to really take off? >> So obviously you need to build out the networks and the operators are doing that are pretty high speed. You need to have the devices ready and all the devices. Now it's not like you have a 5g only device. It's obviously capable of all the four G things. And then it's better when you have 5g. So the devices are going to come and take and fast. So all your new devices, most of the high end devices have 5g capability already in there. >>Um, and then the networks just getting built out more and more. And then of course the application developers actually understanding how can I take advantage of those new capabilities? And then you'll start to see, okay, wow, you know, I didn't, this wasn't possible before. It's not just a faster download. It's really, there's just new experiences happening >> from a development standpoint. How much access do they have to the technology? Do they have to wait until this is all built out? Obviously not, but, but, but what's the status of sort of the devs? So we're, we're trying to, and we're working with a lot of the ecosystem. We have, we call it the D 15 studio in our Santa Clara office. We're bringing developers in there and really trying to understand, because you know, we talk Telekom as well. So we want to expose things. We want to understand, do you know what variable, if we say quality of service, what does that mean for you? You know, how do you translate that? So, and we're working with, you know, the cloud players where to developers live to some extent to bring in that ecosystem and understand how it all plays together. So >>ahead. Yup. Um, so if really, if you're looking at it longterm, obviously it's going to happen, but the experience is as I go around the States, is that you've got all these different four G three GS edges still in a very, very patchy a level of it. Is this going to be different? Is this going to actually go into different places because there's a big investment that has to be made, a lot of things very close together. Yes, yes. That seems to be a recipe for everything being or right in the cities. But as soon as you go outside the urban areas, it's going to be very patchy. How does that compare, for example, with Elon Musk's idea of a doing stuff from the sky? >>Well, everything comes down to economics. So you know, it's, it's obviously you're going to have denser deployments in the cities, then you are in the countryside and so on. One of the big advantages would 5g is am, and not to get too deep into the technical part, but you can use all the spectrum that's available. And spectrum is super important as we get, you know, when we have lower frequency spectrum, you can cover a hundred miles Wade, one base station as you get to the millimeter wave, which is you get super high bandwidth, then you're add hundreds of meters. Yeah. And so obviously one is more suitable for a rural environment, the other is more suitable for. So for an urban environment, so obviously having those working together in one technology allows you to deploy everything and get the benefits in a much broader area than we had for any of the previous. >>There's choice there in terms of how you deploy or, or leverage the spectrum. So you're saying that the higher performance end of the spectrum, it's gonna require a greater density of other components. And absolutely. When people talk about oil, there's going to be a lot more distributed, you know, pieces of the five G network that has to get built out. So who does that? Who's putting those pieces of the value chain in? So different players, obviously the mobile network operators, the 18 Ts and Verizons of the world are doing a lot of the heavy lifting and know what our support to actually put the, the radios and the towers in place. And then there's an edge compute piece as well, which is different players are putting in that. Um, so, so a lot of that infrastructure has been done. I think one thing that we've been pushing quite a lot, all our install base of radios is um, 5g upgradable via software. >>So that means that a lot of the already installed, uh, radios and infrastructure, you're just softer upgrade, you know, an hour later it's now 5g ready. So I think that's a big piece of basin. Back to your question of how quickly and and can reach all those areas, are there any specific commercial blockers that you see, um, that you're thinking through? I am I, I think the, just understanding some of the more challenging when you look at, if you're deploying edge compute and you have to invest billions and really getting that far out to the edge, I think there's some questions still there. Like I said, how much would you pay for 20 milliseconds versus 15 milliseconds. And that might sound like a lot, but that's a lot of extra infrastructure you would need to put out. So I think that's still being worked true. >>And obviously some of that will happen quicker in a downtown San Francisco than it will in a, you know, middle of Nevada plays well and the others that you've mentioned before, it's unclear what new applications are going to emerge here. And so it's almost like build it and they will come and then we'll figure it out and then we'll figure out how to charge for it. Like you say the gamers, how much will they pay for it? Yeah, so those are some of the uncertainties but they'll shake themselves out. So absolutely. I was a pretty smart about doing. What about micron and the role of memory players and storage players? How will this affect them? Eight say a huge opportunity when you ah, yeah, I mean invest no and Bardy hats. >> Yeah, I think it's a, when you look at the number of devices and, okay, what's the device? >>The devices are smartphone. Well the devices now your car, it's every IOT device and down to your toaster and all the crazy stuff people are talking about too. I mean to every industrial application tool that age, computers. So you're distributing now a lot of different compute memory storage across different parts of the network. So I mean they talked earlier in the panel about phones having terabytes of data. You know, it's in, it's just unimaginable. The amount of data storage. Remember you're going to need in a vehicle, you know, they're looking at terabytes per hour of data and then how much of that should they shift off the vehicle? How much did it keep there? So huge opportunity. >> Well, I'd be willing to pay for, um, some memory in my appliances. They tell me when they're going to break. I just got a new dishwasher and I can program it with my, my remote. I don't want to program. I just want to know that on Thanksgiving morning it was that it works. But in a week before it's going to break, I want to know so I can deal with vending and maintenance. That's a big use case. Can't wait until that happens. The last question, so >>I was going to be, I was following up on that last point you were making. Um, uh, so again, this cost of everything, this, this value that you're going to get out of it. Um, it seems to me that, um, that this is gonna take a long time to push out. Um, and, and before it actually down. And people will actually know whether they can pay for this. And then one thing in particular is there's a lot of resistance in, in the, in the States anyway, to all of these devices being put very, very close, you know, to the, to, to it for example, putting all the devices down, download a row for example, that, that, that seems to be very expensive and, and going to get a lot of reaction from consumers is, is that not the case? >>So I actually, we're not seeing it that much. I mean if you look across the globe, um, China obviously is a slightly unique situation. Massive deployments already happening there. Like I said, Southeast Asia, South Korea being among the, you know, the forefront, big deployments already there. And we're seeing big pull from industries already and the operators here in U S are announcing new cities, you know, every month practically. So they are really full on into this. And to some extent it's, it's really just, there's a capacity need to have the spectrum. They need to make the investments and they're, they're doing it as we speak. >>So I think it depends on me. Why was it a meeting the other day in Boston with a lot of city officials and folks that worked for the mayor's office? They're envisioning Boston, you know, for the next 50 years, smart cities and five G was like, if you did a word cloud 5g was that the number one topic? You know, we talked earlier about sports stadiums. You can see that being, you know, use cases going to be these >>hotspots where it's of very, very high >>of the city in this case in Boston's case are they're going to invest, right? And they're gonna think that's going to be a differentiator for cities. >>You have this amazing infrastructure, you know, five G infrastructure that allows you to take advantage of that, be it just from, they talked about traffic congestion and what the city can do and then what the businesses and the consumers can do in that area that that can end up being a differentiator for innovation companies going there and so on. >>Right. All right. We're going to go before they blow us out. No, thanks very much for coming to the queue very much. All right, great. To have you on. I keep it right there, buddy. We'll be back with our next guest after this short break. You're watching the cube live from micron insight 2019 from San Francisco right back.