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Pierluca Chiodelli, Dell Technologies & Dan Cummins, Dell Technologies | MWC Barcelona 2023


 

(intro music) >> "theCUBE's" live coverage is made possible by funding from Dell Technologies, creating technologies that drive human progress. (upbeat music) >> We're not going to- >> Hey everybody, welcome back to the Fira in Barcelona. My name is Dave Vellante, I'm here with Dave Nicholson, day four of MWC23. I mean, it's Dave, it's, it's still really busy. And you walking the floors, you got to stop and start. >> It's surprising. >> People are cheering. They must be winding down, giving out the awards. Really excited. Pier, look at you and Elias here. He's the vice president of Engineering Technology for Edge Computing Offers Strategy and Execution at Dell Technologies, and he's joined by Dan Cummins, who's a fellow and vice president of, in the Edge Business Unit at Dell Technologies. Guys, welcome. >> Thank you. >> Thank you. >> I love when I see the term fellow. You know, you don't, they don't just give those away. What do you got to do to be a fellow at Dell? >> Well, you know, fellows are senior technical leaders within Dell. And they're usually tasked to help Dell solve you know, a very large business challenge to get to a fellow. There's only, I think, 17 of them inside of Dell. So it is a small crowd. You know, previously, really what got me to fellow, is my continued contribution to transform Dell's mid-range business, you know, VNX two, and then Unity, and then Power Store, you know, and then before, and then after that, you know, they asked me to come and, and help, you know, drive the technology vision for how Dell wins at the Edge. >> Nice. Congratulations. Now, Pierluca, I'm looking at this kind of cool chart here which is Edge, Edge platform by Dell Technologies, kind of this cube, like cubes course, you know. >> AK project from here. >> Yeah. So, so tell us about the Edge platform. What, what's your point of view on all that at Dell? >> Yeah, absolutely. So basically in a, when we create the Edge, and before even then was bringing aboard, to create this vision of the platform, and now building the platform when we announced project from here, was to create solution for the Edge. Dell has been at the edge for 30 years. We sold a lot of compute. But the reality was people want outcome. And so, and the Edge is a new market, very exciting, but very siloed. And so people at the Edge have different personas. So quickly realize that we need to bring in Dell, people with expertise, quickly realize as well that doing all these solution was not enough. There was a lot of problem to solve because the Edge is outside of the data center. So you are outside of the wall of the data center. And what is going to happen is obviously you are in the land of no one. And so you have million of device, thousand of million of device. All of us at home, we have all connected thing. And so we understand that the, the capability of Dell was to bring in technology to secure, manage, deploy, with zero touch, zero trust, the Edge. And all the edge the we're speaking about right now, we are focused on everything that is outside of a normal data center. So, how we married the computer that we have for many years, the new gateways that we create, so having the best portfolio, number one, having the best solution, but now, transforming the way that people deploy the Edge, and secure the Edge through a software platform that we create. >> You mentioned Project Frontier. I like that Dell started to do these sort of project, Project Alpine was sort of the multi-cloud storage. I call it "The Super Cloud." The Project Frontier. It's almost like you develop, it's like mission based. Like, "Okay, that's our North Star." People hear Project Frontier, they know, you know, internally what you're talking about. Maybe use it for external communications too, but what have you learned since launching Project Frontier? What's different about the Edge? I mean you're talking about harsh environments, you're talking about new models of connectivity. So, what have you learned from Project Frontier? What, I'd love to hear the fellow perspective as well, and what you guys are are learning so far. >> Yeah, I mean start and then I left to them, but we learn a lot. The first thing we learn that we are on the right path. So that's good, because every conversation we have, there is nobody say to us, you know, "You are crazy. "This is not needed." Any conversation we have this week, start with the telco thing. But after five minutes it goes to, okay, how I can solve the Edge, how I can bring the compute near where the data are created, and how I can do that secure at scale, and with the right price. And then can speak about how we're doing that. >> Yeah, yeah. But before that, we have to really back up and understand what Dell is doing with Project Frontier, which is an Edge operations platform, to simplify your Edge use cases. Now, Pierluca and his team have a number of verticalized applications. You want to be able to securely deploy those, you know, at the Edge. But you need a software platform that's going to simplify both the life cycle management, and the security at the Edge, with the ability to be able to construct and deploy distributed applications. Customers are looking to derive value near the point of generation of data. We see a massive explosion of data. But in particular, what's different about the Edge, is the different computing locations, and the constraints that are on those locations. You know, for example, you know, in a far Edge environment, the people that service that equipment are not trained in the IT, or train, trained in it. And they're also trained in the safety and security protocols of that environment. So you necessarily can't apply the same IT techniques when you're managing infrastructure and deploying applications, or servicing in those locations. So Frontier was designed to solve for those constraints. You know, often we see competitors that are doing similar things, that are starting from an IT mindset, and trying to shift down to cover Edge use cases. What we've done with Frontier, is actually first understood the constraints that they have at the Edge. Both the operational constraints and technology constraints, the service constraints, and then came up with a, an architecture and technology platform that allows them to start from the Edge, and bleed into the- >> So I'm laughing because you guys made the same mistake. And you, I think you learned from that mistake, right? You used to take X86 boxes and throw 'em over the fence. Now, you're building purpose-built systems, right? Project Frontier I think is an example of the learnings. You know, you guys an IT company, right? Come on. But you're learning fast, and that's what I'm impressed about. >> Well Glenn, of course we're here at MWC, so it's all telecom, telecom, telecom, but really, that's a subset of Edge. >> Yes. >> Fair to say? >> Yes. >> Can you give us an example of something that is, that is, orthogonal to, to telecom, you know, maybe off to the side, that maybe overlaps a little bit, but give us an, give us an example of Edge, that isn't specifically telecom focused. >> Well, you got the, the Edge verticals. and Pierluca could probably speak very well to this. You know, you got manufacturing, you got retail, you got automotive, you got oil and gas. Every single one of them are going to make different choices in the software that they're going to use, the hyperscaler investments that they're going to use, and then write some sort of automation, you know, to deploy that, right? And the Edge is highly fragmented across all of these. So we certainly could deploy a private wireless 5G solution, orchestrate that deployment through Frontier. We can also orchestrate other use cases like connected worker, or overall equipment effectiveness in manufacturing. But Pierluca you have a, you have a number. >> Well, but from your, so, but just to be clear, from your perspective, the whole idea of, for example, private 5g, it's a feature- >> Yes. >> That might be included. It happened, it's a network topology, a network function that might be a feature of an Edge environment. >> Yes. But it's not the center of the discussion. >> So, it enables the outcome. >> Yeah. >> Okay. >> So this, this week is a clear example where we confirm and establish this. The use case, as I said, right? They, you say correctly, we learned very fast, right? We brought people in that they came from industry that was not IT industry. We brought people in with the things, and we, we are Dell. So we have the luxury to be able to interview hundreds of customers, that just now they try to connect the OT with the IT together. And so what we learn, is really, at the Edge is different personas. They person that decide what to do at the Edge, is not the normal IT administrator, is not the normal telco. >> Who is it? Is it an engineer, or is it... >> It's, for example, the store manager. >> Yeah. >> It's, for example, the, the person that is responsible for the manufacturing process. Those people are not technology people by any means. But they have a business goal in mind. Their goal is, "I want to raise my productivity by 30%," hence, I need to have a preventive maintenance solution. How we prescribe this preventive maintenance solution? He doesn't prescribe the preventive maintenance solution. He goes out, he has to, a consult or himself, to deploy that solution, and he choose different fee. Now, the example that I was doing from the houses, all of us, we have connected device. The fact that in my house, I have a solar system that produce energy, the only things I care that I can read, how much energy I produce on my phone, and how much energy I send to get paid back. That's the only thing. The fact that inside there is a compute that is called Dell or other things is not important to me. Same persona. Now, if I can solve the security challenge that the SI, or the user need to implement this technology because it goes everywhere. And I can manage this in extensively, and I can put the supply chain of Dell on top of that. And I can go every part in the world, no matter if I have in Papua New Guinea, or I have an oil ring in Texas, that's the winning strategy. That's why people, they are very interested to the, including Telco, the B2B business in telco is looking very, very hard to how they recoup the investment in 5g. One of the way, is to reach out with solution. And if I can control and deploy things, more than just SD one or other things, or private mobility, that's the key. >> So, so you have, so you said manufacturing, retail, automotive, oil and gas, you have solutions for each of those, or you're building those, or... >> Right now we have solution for manufacturing, with for example, PTC. That is the biggest company. It's actually based in Boston. >> Yeah. Yeah, it is. There's a company that the market's just coming right to them. >> We have a, very interesting. Another solution with Litmus, that is a startup that, that also does manufacturing aggregation. We have retail with Deep North. So we can do detecting in the store, how many people they pass, how many people they doing, all of that. And all theses solution that will be, when we will have Frontier in the market, will be also in Frontier. We are also expanding to energy, and we going vertical by vertical. But what is they really learn, right? You said, you know you are an IT company. What, to me, the Edge is a pre virtualization area. It's like when we had, you know, I'm, I've been in the company for 24 years coming from EMC. The reality was before there was virtualization, everybody was starting his silo. Nobody thought about, "Okay, I can run this thing together "with security and everything, "but I need to do it." Because otherwise in a manufacturing, or in a shop, I can end up with thousand of devices, just because someone tell to me, I'm a, I'm a store manager, I don't know better. I take this video surveillance application, I take these things, I take a, you know, smart building solution, suddenly I have five, six, seven different infrastructure to run this thing because someone say so. So we are here to democratize the Edge, to secure the Edge, and to expand. That's the idea. >> So, the Frontier platform is really the horizontal platform. And you'll build specific solutions for verticals. On top of that, you'll, then I, then the beauty is ISV's come in. >> Yes. >> 'Cause it's open, and the developers. >> We have a self certification program already for our solution, as well, for the current solution, but also for Frontier. >> What does that involve? Self-certification. You go through you, you go through some- >> It's basically a, a ISV can come. We have a access to a lab, they can test the thing. If they pass the first screen, then they can become part of our ecosystem very easily. >> Ah. >> So they don't need to spend days or months with us to try to architect the thing. >> So they get the premature of being certified. >> They get the Dell brand associated with it. Maybe there's some go-to-market benefits- >> Yes. >> As well. Cool. What else do we need to know? >> So, one thing I, well one thing I just want to stress, you know, when we say horizontal platform, really, the Edge is really a, a distributed edge computing problem, right? And you need to almost create a mesh of different computing locations. So for example, even though Dell has Edge optimized infrastructure, that we're going to deploy and lifecycle manage, customers may also have compute solutions, existing compute solutions in their data center, or at a co-location facility that are compute destinations. Project Frontier will connect to those private cloud stacks. They'll also collect to, connect to multiple public cloud stacks. And then, what they can do, is the solutions that we talked about, they construct that using an open based, you know, protocol, template, that describes that distributed application that produces that outcome. And then through orchestration, we can then orchestrate across all of these locations to produce that outcome. That's what the platform's doing. >> So it's a compute mesh, is what you just described? >> Yeah, it's, it's a, it's a software orchestration mesh. >> Okay. >> Right. And allows customers to take advantage of their existing investments. Also allows them to, to construct solutions based on the ISV of their choice. We're offering solutions like Pierluca had talked about, you know, in manufacturing with Litmus and PTC, but they could put another use case that's together based on another ISV. >> Is there a data mesh analog here? >> The data mesh analog would run on top of that. We don't offer that as part of Frontier today, but we do have teams working inside of Dell that are working on this technology. But again, if there's other data mesh technology or packages, that they want to deploy as a solution, if you will, on top of Frontier, Frontier's extensible in that way as well. >> The open nature of Frontier is there's a, doesn't, doesn't care. It's just a note on the mesh. >> Yeah. >> Right. Now, of course you'd rather, you'd ideally want it to be Dell technology, and you'll make the business case as to why it should be. >> They get additional benefits if it's Dell. Pierluca talked a lot about, you know, deploying infrastructure outside the walls of an IT data center. You know, this stuff can be tampered with. Somebody can move it to another room, somebody can open up. In the supply chain with, you know, resellers that are adding additional people, can open these devices up. We're actually deploying using an Edge technology called Secure Device Onboarding. And it solves a number of things for us. We, as a manufacturer can initialize the roots of trust in the Dell hardware, such that we can validate, you know, tamper detection throughout the supply chain, and securely transfer ownership. And that's different. That is not an IT technique. That's an edge technique. And that's just one example. >> That's interesting. I've talked to other people in IT about how they're using that technique. So it's, it's trickling over to that side of the business. >> I'm almost curious about the friction that you, that you encounter because the, you know, you paint a picture of a, of a brave new world, a brave new future. Ideally, in a healthy organization, they have, there's a CTO, or at least maybe a CIO, with a CTO mindset. They're seeking to leverage technology in the service of whatever the mission of the organization is. But they've got responsibilities to keep the lights on, as well as innovate. In that mix, what are you seeing as the inhibitors? What's, what's the push back against Frontier that you're seeing in most cases? Is it, what, what is it? >> Inside of Dell? >> No, not, I'm saying out, I'm saying with- >> Market friction. >> Market, market, market friction. What is the push back? >> I think, you know, as I explained, do yourself is one of the things that probably is the most inhibitor, because some people, they think that they are better already. They invest a lot in this, and they have the content. But those are again, silo solutions. So, if you go into some of the huge things that they already established, thousand of store and stuff like that, there is an opportunity there, because also they want to have a refresh cycle. So when we speak about softer, softer, softer, when you are at the Edge, the software needs to run on something that is there. So the combination that we offer about controlling the security of the hardware, plus the operating system, and provide an end-to-end platform, allow them to solve a lot of problems that today they doing by themselves. Now, I met a lot of customers, some of them, one actually here in Spain, I will not make the name, but it's a large automotive. They have the same challenge. They try to build, but the problem is this is just for them. And they want to use something that is a backup and provide with the Dell service, Dell capability of supply chain in all the world, and the diversity of the portfolio we have. These guys right now, they need to go out and find different types of compute, or try to adjust thing, or they need to have 20 people there to just prepare the device. We will take out all of this. So I think the, the majority of the pushback is about people that they already established infrastructure, and they want to use that. But really, there is an opportunity here. Because the, as I said, the IT/OT came together now, it's a reality. Three years ago when we had our initiative, they've pointed out, sarcastically. We, we- >> Just trying to be honest. (laughing) >> I can't let you get away with that. >> And we, we failed because it was too early. And we were too focused on, on the fact to going. Push ourself to the boundary of the IOT. This platform is open. You want to run EdgeX, you run EdgeX, you want OpenVINO, you want Microsoft IOT, you run Microsoft IOT. We not prescribe the top. We are locking down the bottom. >> What you described is the inertia of, of sunk dollars, or sunk euro into an infrastructure, and now they're hanging onto that. >> Yeah. >> But, I mean, you know, I, when we say horizontal, we think scale, we think low cost, at volume. That will, that will win every time. >> There is a simplicity at scale, right? There is a, all the thing. >> And the, and the economics just overwhelm that siloed solution. >> And >> That's inevitable. >> You know, if you want to apply security across the entire thing, if you don't have a best practice, and a click that you can do that, or bring down an application that you need, you need to touch each one of these silos. So, they don't know yet, but we going to be there helping them. So there is no pushback. Actually, this particular example I did, this guy said you know, there are a lot of people that come here. Nobody really described the things we went through. So we are on the right track. >> Guys, great conversation. We really appreciate you coming on "theCUBE." >> Thank you. >> Pleasure to have you both. >> Okay. >> Thank you. >> All right. And thank you for watching Dave Vellante for Dave Nicholson. We're live at the Fira. We're winding up day four. Keep it right there. Go to siliconangle.com. John Furrier's got all the news on "theCUBE.net." We'll be right back right after this break. "theCUBE," at MWC 23. (outro music)

Published Date : Mar 2 2023

SUMMARY :

that drive human progress. And you walking the floors, in the Edge Business Unit the term fellow. and help, you know, drive cubes course, you know. about the Edge platform. and now building the platform when I like that Dell started to there is nobody say to us, you know, and the security at the Edge, an example of the learnings. Well Glenn, of course you know, maybe off to the side, in the software that they're going to use, a network function that might be a feature But it's not the center of the discussion. is really, at the Edge Who is it? that the SI, or the user So, so you have, so That is the biggest company. There's a company that the market's just I take a, you know, is really the horizontal platform. and the developers. We have a self What does that involve? We have a access to a lab, to try to architect the thing. So they get the premature They get the Dell As well. is the solutions that we talked about, it's a software orchestration mesh. on the ISV of their choice. that they want to deploy It's just a note on the mesh. as to why it should be. In the supply chain with, you know, to that side of the business. In that mix, what are you What is the push back? So the combination that we offer about Just trying to be honest. on the fact to going. What you described is the inertia of, you know, I, when we say horizontal, There is a, all the thing. overwhelm that siloed solution. and a click that you can do that, you coming on "theCUBE." And thank you

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Juan Carlos Garcia, Telefónica & Ihab Tarazi, Dell Technologies | MWC Barcelona 2023


 

>> Narrator: TheCUBE's live coverage is made possible by funding from Dell Technologies, creating technologies that drive human progress. (upbeat music) (logo background tingles) >> Hey everyone, it's so good to see you, welcome back to theCube's day two coverage of MWC 23. We are live in Barcelona, Lisa Martin with Dave Nicholson, Dave we have had no signage of people dropping out, this conference is absolutely jam packed. There's so much interest in the industry, you've had a lot of interviews this morning, before we introduce our guests and have a great conversation about the industry and challenges and how they're being solved, what are some of the things that stuck out to you in conversations today? >> Well, I think the interesting, kind of umbrella conversation, that seems to be overlapping you know, overlying everything is this question about Open RAN and open standards in radio access network technology and where the operators of networks and the providers of technology come together to chart a better path forward. A lot of discussion of private 5G networks, it's very interesting, I think I've said this a few times, from a consumer's perspective, we feel like 5G has been with us for a long time- >> We do. >> But it's very clear that this, that we're really at the beginning of stages of this and I'm super excited for our guests that we have here because we're going to be able to talk to an actual operator- >> Yes. >> And hear what they have to say, we've heard a lot of people talking about the cool stuff they build, but we're going to get to hear from someone who actually works with this stuff, so- >> Who actually built it, absolutely. Please welcome our two guests, we have Ihab Tarazi CTO and SVP at Dell Technologies, and Juan Carlos Garcia SVP Technology Innovation and Ecosystems at Telephonica, it's great to have you guys on the program. >> So, thank you very much. >> So the buzz around this conference is incredible, 80,000 plus people, 2000 exhibitors, it's standing room only. Lot of opportunity in the industry, a lot of challenges though, Juan Carlos we'd love to get your perspective on, what are some of the industry challenges that Telephonica has faced that your peers are probably facing as well? >> Well we have two kinds of challenges, one is a business challenge, I would say that we may find in other industries, like profitability and growth and I will talk about it. And the second challenge is our technology challenge, we need the network to be ready to embrace a new wave of technologies and applications that are, you know, very demanding in terms of network characteristics and features. On the efficiency and profitability and growth, the solution comes as a challenge from changing the way networks are built and operated, from the traditional way to make them become software platforms. And this is not just at the knowledge challenge, it's also changing the mindset of network operators from a network and service provider to a digital service provider, okay? And this means several things, your network needs to become software-based so that you can manage it digitally and on top of it, you need to be able to deliver detail services digitally, okay? So there are three aspects, making your network so (indistinct) and cloud and cloud waste and then be able to sell in a different way to our customers. >> So some pretty significant challenges, but to your point, Juan Carlos, you share some of those challenges with other industries so there's some commonality there. I wanted to bring Ihab into the conversation, from Dell's perspective, we're seeing, you know, the explosion of data. Every company has to be a data company, we expect to have access to data in real time, if it's a new app, whatever it is. What are some of the challenges that you're seeing from your seat at Dell? >> Yeah, I think Juan Carlos explained that really well, what all the operators are talking about here between new applications, think metaverse, think video streaming, going all the way to the edge, think all the automation of factories and everything that's happening. It's not only requiring a whole new model for delivery and for building networks, but it's throwing out enormous amount of data and the data needs to be acted on to get the value of it. So the challenge is how do I collect the data? How do I catalog it? How do I make it usable? And then how do I make it persistent? So you know, it's high performance data storage and then after that, how do I move it to where I want to and be able to use it. And for many applications that has to happen in milliseconds for the value to come out. So now we've seen this before with enterprise but now I would say this digital transformation is happening at very large scale for all the telcos and starting to deal with very familiar themes we've seen before. >> So Juan Carlos, Telephonica, you hear from partners, vendors that they've done this before, don't worry, you're in good hands. >> Juan Carlos: Yeah, yeah. >> But as a practical matter, when you look at the challenges that you have and you think about the things you'll do to address them as you move forward, what are the immediate short term priorities? >> Okay. >> Versus the longer term priorities? What's realistic? You have a network to operate- >> Yeah. >> You're not just building something out of nothing, so you have to keep the lights on. >> Yeah. >> And you have to innovate, we call that by the way, in the CTO trade, ambidextrous, management using both hands, so what's your order of priorities? >> Well, the first thing, new technologies you are getting into the network need to come with a detail shape, so being cloud native, working by software. On the legacies that you need to keep alive, you need to go for a program to switch (indistinct) off progressively, okay? In fact, in Spain we are going to switch up the copper network in two years, so in 2024, Telephonica will celebrate 100 years and the celebration will be switching up the copper network and we'll have on the fixed access only fiber, okay. So more than likely, the network is necessary, all this digitalization may happen only on the new technologies because the new technologies are cloud-based, cloud native, become already ready for this digitalization process. And not only that, so you need also to build new things, we need an abstraction layer on top of the physical infrastructure to be able to manage the network by software, okay. This is something that happened in the computing world, okay, where the servers, you know, were covered with a cloud stack layer and we are doing the same thing in the network. We are trained to abstract the network services and capabilities and be able to offer them digitally to our customers. And this is a process that we are ongoing with many initiatives in the market, so one was the CAMARA community that was opened in Linux Foundation and the other one was the announcement we made yesterday of the open gateway initiative here at Mobile World Congress where all telecom operators have agreed to launch in this year a set of service APIs that are common worldwide, okay. This is a similar thing to what we did with 2G 35 years ago, to agree on a standard way of delivering a service and in this case is digital services based on APIs. >> What's the net result of? What are the benefits of having those open standards? Is it a benefit that myself as a consumer would enjoy? It seems, I mean, I've been, I'm old enough to remember, you know, a time before cellular telephones and I remember a time when it was very, very difficult to travel from North America to Europe with a cell phone. Now I land and my provider says, "Hey, welcome-" >> Juan Carlos: Yes. >> "Welcome, we're going to charge you a little extra money." And I say, "Hallelujah, awesome." So is part of that interoperability a benefit to consumers or, how, what? >> Yeah, you touch the right point. So in the same way you travel anywhere and you want to still make a call and send an SMS and connect to the internet, you will like your applications in your smartphone to work being them edge applications, okay, and these applications, each application will have to work to be executed very close to where you are, in a way that if you travel abroad the visitor network is serving you, okay. So this means that we are somehow extending the current interconnection and roaming agreements between operators to be able also to deliver edge applications wherever you are, in whatever network, with whatever technology. >> We have that expectation on the consumer side, that it's just going to work no matter where we are, we want apps to be updated, whether I'm banking or I'm shopping for groceries, I want to make sure that they know who I am, the data's got to be there, it's got to be real time, it's got to be right, it's got to serve me personally, but it just has to work. You guys talked about some of the big challenges, but also the opportunities in terms of the future of networking, the data turning companies in the data companies. Walk us through the future of networking from Telephonica's lens, you talked about some of the big initiatives that you have by 2024. >> Yes. >> But if you had a crystal ball and you could look in there and go it looks like this for operators, what would you say? And I'd love to get your feedback too. >> Yeah, I liked how Juan Carlos talked about how the future is, I think I want to add one thing to it, to say, a lot of times the user is no longer a consumer, it's an automated thing, you know, AI think robots, so a lot of times, more and more the usage is happening by some autonomous thing and it needs to always connect. And more and more these things are extending to places where even cellular coverage doesn't exist today, so you have edge compute show up. So, and when you think about it, the things we have to solve as a community here and this is all the discussions is, number one, how you make it a fully open standard model, so everything plugs and play, more and more, there's so many pieces coming, software, hardware, from different components and the integration of all of that is probably one of the biggest challenges people want solved. You know, how it's no longer one box, you buy from one person and put it away, now you have a complex combination of hardware and software. Also the operational model is very important and that is one of the areas we're focused on at Dell, is that while the operational model works inside the data centers for certain application, for telcos, it looks different when you're out at the cell tower and you're going to have these extended temperature changes. And sometimes this may not be inside a cabinet, maybe outside and the person servicing it is not an IT technician. This is somebody that needs to know exactly how to plug it, to be able to place equipment quickly and add capacity, those are just two of the areas, the cloud, making it work like a cloud, where it's intuitive, automated and you can easily add capacity, you can, you know, get a lot of monitoring, a lot of metrics, those are some of the things that we're all solving in this community. >> Let's talk about exactly how you're achieving this, Telephonica and Dell have been working together for a couple of years, you said before we went live. Talk about, you're doing this, you talked about the challenges, the opportunities how are you solving them and why with Dell? >> Okay, well you need to go with the right partners, not to this kind of process of transforming your network into a digital platform. There are big challenges on creating the cloud infrastructure that you need to support the complex, functionality and network requires. And I think you need to have with you, companies that know about the processors, that know about the hardware, the server, that know about how to make an abstraction of that hardware layer so that you can manage that digitally and this is not something any company can do, so you need companies that are very specialized. Telecom operators are changing the way to work, we work in the past with traditionally, with network equipment vendors, now we need to start working with technology providers, hardware (indistinct) providers with cloud providers with an ecosystem that is probably wider than what we had in the past. >> Yes. >> So I come from a background, I call myself a "knuckle dragging hardware engineer" sort of guy, so I'm almost fascinated by the physical part of this. You have a network, part of that network includes towers that have transmitters, receivers, at the base of those towers and like you mentioned, they're not all necessarily in urban areas or easy to access. There's equipment there, let's say that, that tower has been there for 5 years, 10 years, in the traditional world of IT, we have this this concept of the "refresh cycle" >> Juan Carlos: Yeah. >> Where a server may have a useful life of 36 months before it's consuming more power than it should based on the technology. How do you move from, kind of a legacy more proprietary, all-inclusive stack to an open system? I mean, is this a, "Okay, we're planning for an outage for the tower and you're wheeling out old equipment and wheeling in new equipment?" >> Juan Carlos: Yeah. >> I mean that's not, that's what we say as a non-trivial exercise, it's something that isn't, it's not something that's just easy to do, but is that what progress looks like? Sort of, methodically one site at a time? >> Yeah, well, I mean, you have touched an important point. In the technology renewal cycles, we were taking an appliance and replacing that by another one. Now with the current technology, you have the couple, the hardware from the software and the hardware, you need to replace it only when you run out of processing capacity to do what you want, okay? So then we'll be there 2, 3, 4, 5 years, whatever, when you need additional capacity, you replace it, but on the software side you can make the replacement every hour, every week. And this is something that the new technologies are bringing, a flexibility for the telecom operator to introduce a new feature without having to be physically there in the place, okay, by software remotely and this is the kind of software network we want to build. >> Lisa Martin: You know- >> Yeah, I want to add to that if I can- >> Please. >> Yeah. >> I think this is one of the biggest benefits of the open model. If the stack is all integrated as one appliance, when a new technology, we all know how quickly selecon technology comes out and now we have GPU's coming out for AI more increasingly, in an appliance model it may take you two years to take advantage of some new selecon that just came out. In this new open model, as Juan Carlos was saying, you just swap out, you know, you have time to market CPUs launched, it can be put out there at the cell tower and it could double capacity instantly and we're going to need that in that world, that easily going to be AI enabled- >> Lisa Martin: Right. >> So- >> So my last question to you, we only got a minute left or so, is given everything that we've talked about, the challenges, the opportunities, what you're doing together, how would you Juan Carlos summarize how the business is benefiting from the Dell partnership and the technologies that you're enabling with this new future network? >> Well, as I said before, we will need to be able to cover all the characteristics and performance of our network. We will need the right kind of processing capacity, the right kind of hardware solutions. We know that the functionality of the network is a very demanding one, we need hardware acceleration, we need a synchronization, we need time-sensitive solutions and all these can only done by hardware, so you need a good hardware partner, that ensures that you have the processing capacity you need to be able then to run your software, you know, with the confidence that it will work and with the performance that you need. >> That confidence is key. Well it sounds like what Telephonica and Dell have achieved together has been quite successful. Congratulations on the first couple of years, sounds like it's really helping Telephonica's business move in the strategic direction that it wants. We appreciate you joining us on the program today, describing all this, thank you both so much for your time. >> Thank you very much. >> Thank you, this was fun. >> A pleasure. >> Good, our pleasure. For our guests and for Dave Nicholson, I'm Lisa Martin, you're watching theCUBE live day two from Barcelona, MWC 23. Don't go anywhere, Dave and I will be right back with our next guests. (cheerful bouncy music)

Published Date : Feb 28 2023

SUMMARY :

that drive human progress. to you in conversations today? and the providers of it's great to have you So the buzz around this and on top of it, you What are some of the and the data needs to be acted you hear from partners, so you have to keep the lights on. into the network need to What are the benefits of we're going to charge you So in the same way you travel anywhere the data's got to be there, And I'd love to get your feedback too. and that is one of the areas for a couple of years, you that know about the hardware, the server, and like you mentioned, for the tower and you're and the hardware, you need to replace it benefits of the open model. and with the performance that you need. Congratulations on the and I will be right back

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Driving Business Results with Cloud Transformation | Jim Shook and Andrew Gonzalez


 

(upbeat 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 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 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 as Jim was saying, 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 seem to be data or an active directory or DNS dump, right? Understanding what your data actually entails 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 in a yellow sticky? No, it's got to be, you got to be somewhere safe, right? So you have to think about that chain as well, right? >> Absolutely, yeah. 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 as 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 then 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 my point. The driver is business risk, real loss of reputation or data, you know, 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, 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 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, 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 the 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 a 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 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 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 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 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 breaches 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 'em out, to ensure that we are back into production in short order. >> You know, this discussion we've been having about DR kind of versus resilience, 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 I'm inferring that's changed. I wonder if we could, you know, double click on recovery, how hard is it to test that recovery and how quickly are you seeing organizations recover from attacks? >> So it depends, right, on the industry vertical, what kind of data, again. 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 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 recovery kind of 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 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 can come in many forms. We've seen instances of social engineering, we've seen, USB stick dropped in a warehouse. That data that is flowing through the IOT devices 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 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 business is, right? So 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 data entails to put in the vault from an IOT perspective is just as critical as it is for your core systems. >> Jim, anything you can add to this topic? >> Yeah, I think you hit on 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 cyber from the good guys' perspective? >> I think we're coming at the problem the right way, Dave, so that focus. I'm so pleased with the idea that we are planning that the systems aren't going to be a hundred percent capable every single time and let's figure that out, right? 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 add to that, I think furthering education for the client base is important. 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 really important topic. Keep up the good work, appreciate it. >> Thanks Dan. >> Thank you. >> All right, 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. (upbeat music)

Published Date : Feb 16 2023

SUMMARY :

to be addressed in the coming year. in terms of the attack surface and recover to the extent that So Andrew, you know, I and that you can build out how to protect it, of last decade, you know, You need to look at what the is to go after the backup corpus. for the bad actors to get to. the forced march to digital. and then how to recover how hard is it to test that recovery We do offer the ability to But the key to it, as Andrew said before, And the problem being that, you know, So, when you look at it from so that caused the OT about the future of cyber that the systems aren't going to be that the board has to adhere to. Thank you so much. around the partnership

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Driving Business Results with Cloud Transformation | Jay Dowling and Jim Miller


 

(upbeat 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, America's Sales Lead for cloud and infrastructure services both with DXC Technology. Gentlemen, thanks for your time today. Welcome to the Cube. >> 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 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 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, thank you for that. So Jay, I got to ask you, in the current climate everybody's sort of 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 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? >> You know, priority is often an overused term in 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. 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We'd 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 let's talk about some of the barriers to realizing value in a context of modernization. We talked about cost optimization, agility and resilience. But there's a business angle and there's a technical angle here. We always talk about people process and technology, technology oftentimes CIOs will tell us, well, that's the easy part, We'll figure that out whether it's true or not but I agree, people and process are sometimes the tough ones. So Jay, why don't you start, what do you see as the barriers, particularly from a business standpoint? >> Well, I think people need to let their guard down and be open to the ideas that are out there in the market from, you know, the standards that are being built by, you know best in class models, 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 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 models 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, you know, 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 spectrum 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 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 the big barrier a skills issue, you know, bench strength? Are there other considerations from your perspective? >> Well, we've identified a number of factors that inhibit success 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 we see pricing and structure changing dramatically every few months between the various cloud providers. And you have to be flexible enough 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 maximizing your business return on a 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 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 two event and Supercloud is basically, it's really what multi-cloud should have been, I'd like to say. So it's just 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 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 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 the history of the company. I can 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, on the edge. They're, you know, 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's somebody who could look at Dell technology as somebody that might, you know have a victim, you know, effect because of all the hyperscaler activity and all the cloud activity. But they've really taken an outstanding attitude with this and said, listen, not all things are destined for cloud or not all things would operate better in a cloud environment, and they'd 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 an ideal model of somebody that's resourced us well, partners with us well in the market 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 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 is a zero sum game, but it's clearly not. And this idea of whether you call it super cloud or Uber cloud or multi-cloud, clearly Dell is headed in that direction and I've, you know, look at some of their future projects, 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 (all 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 name DXC and 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 would say our unique approach, we call it cloud right. And that approach is making the right investments at the right time and on the right platforms. And our partners play a key role in that. So 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 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. It's a complicated situation for a lot of customers, but chime in here. >> And now if you were speaking still specifically to Dell here, like 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 true partnership. 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, in the GSI community. And I've been with several GSI's and this is an exceptional example of true partnership and commitment to success with Dell technology. I'm really extremely impressed 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 our go-to-market strategy. >> Well, I think too, just my observation is a lot of it is about trust. You guys have both earned the trust, kind of over the years, taking your arrows, you know, over decades, 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. Thank you Dave. Appreciate it very much. >> Thank you. >> Great to have you on. Keep it right there for more action on the cube right back. (upbeat music)

Published Date : Feb 16 2023

SUMMARY :

and I'm here with James Miller, Thanks for having us. you got to think about your business model and the capability to metabolize So Jay, my question to you is and to drive, you know So Jay, why don't you start, So they need advocacy to help, you know a skills issue, you know, and how you will achieve and what is DXC's, you know, unique value? I'd be happy to lead to see how they can, you know and I've, you know, look at and also adapt to many of Even predates, you know, in the environment that is for a lot of customers, with the partners, you know, and you know, that just Thank you Dave. Great to have you on.

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Driving Business Results with Cloud Transformation | Aditi Banerjee and Todd Edmunds


 

>> 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."

Published Date : Feb 16 2023

SUMMARY :

Welcome back to the program. Great to be here. the manufacturing industry? and the facilities that you add to what Todd just said? and the KPIs for customer the incumbents have to continue that they need to think about. So, that's got to be a the answer to everything. of the the digital equivalent and they have a lot to offer Thank you. to apply these to these projects? and the Digital Twin. to simplify the move to and the right level of security. the best value to customers? it's all of the solutions love to have you back. Thank you so much. for more discussions that educate

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Chat w/ Arctic Wolf exec re: budget restraints could lead to lax cloud security


 

>> Now we're recording. >> All right. >> Appreciate that, Hannah. >> Yeah, so I mean, I think in general we continue to do very, very well as a company. I think like everybody, there's economic headwinds today that are unavoidable, but I think we have a couple things going for us. One, we're in the cyberspace, which I think is, for the most part, recession proof as an industry. I think the impact of a recession will impact some vendors and some categories, but in general, I think the industry is pretty resilient. It's like the power industry, no? Recession or not, you still need electricity to your house. Cybersecurity is almost becoming a utility like that as far as the needs of companies go. I think for us, we also have the ability to do the security, the security operations, for a lot of companies, and if you look at the value proposition, the ROI for the cost of less than one to maybe two or three, depending on how big you are as a customer, what you'd have to pay for half to three security operations people, we can give you a full security operations. And so the ROI is is almost kind of brain dead simple, and so that keeps us going pretty well. And I think the other areas, we remove all that complexity for people. So in a world where you got other problems to worry about, handling all the security complexity is something that adds to that ROI. So for us, I think what we're seeing is mostly is some of the larger deals are taking a little bit longer than they have, some of the large enterprise deals, 'cause I think they are being a little more cautious about how they spend it, but in general, business is still kind of cranking along. >> Anything you can share with me that you guys have talked about publicly in terms of any metrics, or what can you tell me other than cranking? >> Yeah, I mean, I would just say we're still very, very high growth, so I think our financial profile would kind of still put us clearly in the cyber unicorn position, but I think other than that, we don't really share business metrics as a private- >> Okay, so how about headcount? >> Still growing. So we're not growing as fast as we've been growing, but I don't think we were anyway. I think we kind of, we're getting to the point of critical mass. We'll start to grow in a more kind of normal course and speed. I don't think we overhired like a lot of companies did in the past, even though we added, almost doubled the size of the company in the last 18 months. So we're still hiring, but very kind of targeted to certain roles going forward 'cause I do think we're kind of at critical mass in some of the other functions. >> You disclose headcount or no? >> We do not. >> You don't, okay. And never have? >> Not that I'm aware of, no. >> Okay, on the macro, I don't know if security's recession proof, but it's less susceptible, let's say. I've had Nikesh Arora on recently, we're at Palo Alto's Ignite, and he was saying, "Look," it's just like you were saying, "Larger deal's a little harder." A lot of times customers, he was saying customers are breaking larger deals into smaller deals, more POCs, more approvals, more people to get through the approval, not whole, blah, blah, blah. Now they're a different animal, I understand, but are you seeing similar trends, and how are you dealing with that? >> Yeah, I think the exact same trends, and I think it's just in a world where spending a dollar matters, I think a lot more oversight comes into play, a lot more reviewers, and can you shave it down here? Can you reduce the scope of the project to save money there? And I think it just caused a lot of those things. I think, in the large enterprise, I think most of those deals for companies like us and Palo and CrowdStrike and kind of the upper tier companies, they'll still go through. I think they'll just going to take a lot longer, and, yeah, maybe they're 80% of what they would've been otherwise, but there's still a lot of business to be had out there. >> So how are you dealing with that? I mean, you're talking about you double the size of the company. Is it kind of more focused on go-to-market, more sort of, maybe not overlay, but sort of SE types that are going to be doing more handholding. How have you dealt with that? Or have you just sort of said, "Hey, it is what it is, and we're not going to, we're not going to tactically respond to. We got long-term direction"? >> Yeah, I think it's more the latter. I think for us, it's we've gone through all these things before. It just takes longer now. So a lot of the steps we're taking are the same steps. We're still involved in a lot of POCs, we're involved in a lot of demos, and I don't think that changed. It's just the time between your POC and when someone sends you the PO, there's five more people now got to review things and go through a budget committee and all sorts of stuff like that. I think where we're probably focused more now is adding more and more capabilities just so we continue to be on the front foot of innovation and being relevant to the market, and trying to create more differentiators for us and the competitors. That's something that's just built into our culture, and we don't want to slow that down. And so even though the business is still doing extremely, extremely well, we want to keep investing in kind of technology. >> So the deal size, is it fair to say the initial deal size for new accounts, while it may be smaller, you're adding more capabilities, and so over time, your average contract values will go up? Are you seeing that trend? Or am I- >> Well, I would say I don't even necessarily see our average deal size has gotten smaller. I think in total, it's probably gotten a little bigger. I think what happens is when something like this happens, the old cream rises to the top thing, I think, comes into play, and you'll see some organizations instead of doing a deal with three or four vendors, they may want to pick one or two and really kind of put a lot of energy behind that. For them, they're maybe spending a little less money, but for those vendors who are amongst those getting chosen, I think they're doing pretty good. So our average deal size is pretty stable. For us, it's just a temporal thing. It's just the larger deals take a little bit longer. I don't think we're seeing much of a deal velocity difference in our mid-market commercial spaces, but in the large enterprise it's a little bit slower. But for us, we have ambitious plans in our strategy or on how we want to execute and what we want to build, and so I think we want to just continue to make sure we go down that path technically. >> So I have some questions on sort of the target markets and the cohorts you're going after, and I have some product questions. I know we're somewhat limited on time, but the historical focus has been on SMB, and I know you guys have gone in into enterprise. I'm curious as to how that's going. Any guidance you can give me on mix? Or when I talk to the big guys, right, you know who they are, the big managed service providers, MSSPs, and they're like, "Poo poo on Arctic Wolf," like, "Oh, they're (groans)." I said, "Yeah, that's what they used to say about the PC. It's just a toy. Or Microsoft SQL Server." But so I kind of love that narrative for you guys, but I'm curious from your words as to, what is that enterprise? How's the historical business doing, and how's the entrance into the enterprise going? What kind of hurdles are you having, blockers are you having to remove? Any color you can give me there would be super helpful. >> Yeah, so I think our commercial S&B business continues to do really good. Our mid-market is a very strong market for us. And I think while a lot of companies like to focus purely on large enterprise, there's a lot more mid-market companies, and a much larger piece of the IT puzzle collectively is in mid-market than it is large enterprise. That being said, we started to get pulled into the large enterprise not because we're a toy but because we're quite a comprehensive service. And so I think what we're trying to do from a roadmap perspective is catch up with some of the kind of capabilities that a large enterprise would want from us that a potential mid-market customer wouldn't. In some case, it's not doing more. It's just doing it different. Like, so we have a very kind of hands-on engagement with some of our smaller customers, something we call our concierge. Some of the large enterprises want more of a hybrid where they do some stuff and you do some stuff. And so kind of building that capability into the platform is something that's really important for us. Just how we engage with them as far as giving 'em access to their data, the certain APIs they want, things of that nature, what we're building out for large enterprise, but the demand by large enterprise on our business is enormous. And so it's really just us kind of catching up with some of the kind of the features that they want that we lack today, but many of 'em are still signing up with us, obviously, and in lieu of that, knowing that it's coming soon. And so I think if you look at the growth of our large enterprise, it's one of our fastest growing segments, and I think it shows anything but we're a toy. I would be shocked, frankly, if there's an MSSP, and, of course, we don't see ourself as an MSSP, but I'd be shocked if any of them operate a platform at the scale that ours operates. >> Okay, so wow. A lot I want to unpack there. So just to follow up on that last question, you don't see yourself as an MSSP because why, you see yourselves as a technology platform? >> Yes, I mean, the vast, vast, vast majority of what we deliver is our own technology. So we integrate with third-party solutions mostly to bring in that telemetry. So we've built our own platform from the ground up. We have our own threat intelligence, our own detection logic. We do have our own agents and network sensors. MSSP is typically cobbling together other tools, third party off-the-shelf tools to run their SOC. Ours is all homegrown technology. So I have a whole group called Arctic Wolf Labs, is building, just cranking out ML-based detections, building out infrastructure to take feeds in from a variety of different sources. We have a full integration kind of effort where we integrate into other third parties. So when we go into a customer, we can leverage whatever they have, but at the same time, we produce some tech that if they're lacking in a certain area, we can provide that tech, particularly around things like endpoint agents and network sensors and the like. >> What about like identity, doing your own identity? >> So we don't do our own identity, but we take feeds in from things like Okta and Active Directory and the like, and we have detection logic built on top of that. So part of our value add is we were XDR before XDR was the cool thing to talk about, meaning we can look across multiple attack surfaces and come to a security conclusion where most EDR vendors started with looking just at the endpoint, right? And then they called themselves XDR because now they took in a network feed, but they still looked at it as a separate network detection. We actually look at the things across multiple attack surfaces and stitch 'em together to look at that from a security perspective. In some cases we have automatic detections that will fire. In other cases, we can surface some to a security professional who can go start pulling on that thread. >> So you don't need to purchase CrowdStrike software and integrate it. You have your own equivalent essentially. >> Well, we'll take a feed from the CrowdStrike endpoint into our platform. We don't have to rely on their detections and their alerts, and things of that nature. Now obviously anything they discover we pull in as well, it's just additional context, but we have all our own tech behind it. So we operate kind of at an MSSP scale. We have a similar value proposition in the sense that we'll use whatever the customer has, but once that data kind of comes into our pipeline, it's all our own homegrown tech from there. >> But I mean, what I like about the MSSP piece of your business is it's very high touch. It's very intimate. What I like about what you're saying is that it's software-like economics, so software, software-like part of it. >> That's what makes us the unicorn, right? Is we do have, our concierges is very hands-on. We continue to drive automation that makes our concierge security professionals more efficient, but we always want that customer to have that concierge person as, is almost an extension to their security team, or in some cases, for companies that don't even have a security team, as their security team. As we go down the path, as I mentioned, one of the things we want to be able to do is start to have a more flexible model where we can have that high touch if you want it. We can have the high touch on certain occasions, and you can do stuff. We can have low touch, like we can span the spectrum, but we never want to lose our kind of unique value proposition around the concierge, but we also want to make sure that we're providing an interface that any customer would want to use. >> So given that sort of software-like economics, I mean, services companies need this too, but especially in software, things like net revenue retention and churn are super important. How are those metrics looking? What can you share with me there? >> Yeah, I mean, again, we don't share those metrics publicly, but all's I can continue to repeat is, if you looked at all of our financial metrics, I think you would clearly put us in the unicorn category. I think very few companies are going to have the level of growth that we have on the amount of ARR that we have with the net revenue retention and the churn and upsell. All those aspects continue to be very, very strong for us. >> I want to go back to the sort of enterprise conversation. So large enterprises would engage with you as a complement to their existing SOC, correct? Is that a fair statement or not necessarily? >> It's in some cases. In some cases, they're looking to not have a SOC. So we run into a lot of cases where they want to replace their SIEM, and they want a solution like Arctic Wolf to do that. And so there's a poll, I can't remember, I think it was Forrester, IDC, one of them did it a couple years ago, and they found out that 70% of large enterprises do not want to build the SOC, and it's not 'cause they don't need one, it's 'cause they can't afford it, they can't staff it, they don't have the expertise. And you think about if you're a tech company or a bank, or something like that, of course you can do it, but if you're an international plumbing distributor, you're not going to (chuckles), someone's not going to graduate from Stanford with a cybersecurity degree and go, "Cool, I want to go work for a plumbing distributor in their SOC," right? So they're going to have trouble kind of bringing in the right talent, and as a result, it's difficult to go make a multimillion-dollar investment into a SOC if you're not going to get the quality people to operate it, so they turn to companies like us. >> Got it, so, okay, so you're talking earlier about capabilities that large enterprises require that there might be some gaps, you might lack some features. A couple questions there. One is, when you do some of those, I inferred some of that is integrations. Are those integrations sort of one-off snowflakes or are you finding that you're able to scale those across the large enterprises? That's my first question. >> Yeah, so most of the integrations are pretty straightforward. I think where we run into things that are kind of enterprise-centric, they definitely want open APIs, they want access to our platform, which we don't do today, which we are going to be doing, but we don't do that yet today. They want to do more of a SIEM replacement. So we're really kind of what we call an open XDR platform, so there's things that we would need to build to kind of do raw log ingestion. I mean, we do this today. We have raw log ingestion, we have log storage, we have log searching, but there's like some of the compliance scenarios that they need out of their SIEM. We don't do those today. And so that's kind of holding them back from getting off their SIEM and going fully onto a solution like ours. Then the other one is kind of the level of customization, so the ability to create a whole bunch of custom rules, and that ties back to, "I want to get off my SIEM. I've built all these custom rules in my SIEM, and it's great that you guys do all this automatic AI stuff in the background, but I need these very specific things to be executed on." And so trying to build an interface for them to be able to do that and then also simulate it, again, because, no matter how big they are running their SIEM and their SOC... Like, we talked to one of the largest financial institutions in the world. As far as we were told, they have the largest individual company SOC in the world, and we operate almost 15 times their size. So we always have to be careful because this is a cloud-based native platform, but someone creates some rule that then just craters the performance of the whole platform, so we have to build kind of those guardrails around it. So those are the things primarily that the large enterprises are asking for. Most of those issues are not holding them back from coming. They want to know they're coming, and we're working on all of those. >> Cool, and see, just aside, I was talking to CISO the other day, said, "If it weren't for my compliance and audit group, I would chuck my SIEM." I mean, everybody wants to get rid of their SIEM. >> I've never met anyone who likes their SIEM. >> Do you feel like you've achieved product market fit in the larger enterprise or is that still something that you're sorting out? >> So I think we know, like, we're on a path to do that. We're on a provable path to do that, so I don't think there's any surprises left. I think everything that we know we need to do for that is someone's writing code for it today. It's just a matter of getting it through the system and getting into production. So I feel pretty good about it. I think that's why we are seeing such a high growth rate in our large enterprise business, 'cause we share that feedback with some of those key customers. We have a Customer Advisory Board that we share a lot of this information with. So yeah, I mean, I feel pretty good about what we need to do. We're certainly operate at large enterprise scales, so taking in the amount of the volume of data they're going to have and the types of integrations they need. We're comfortable with that. It's just more or less the interfaces that a large enterprise would want that some of the smaller companies don't ask for. >> Do you have enough tenure in the market to get a sense as to stickiness or even indicators that will lead toward retention? Have you been at it long enough in the enterprise or you still, again, figuring that out? >> Yeah, no, I think we've been at it long enough, and our retention rates are extremely high. If anything, kind of our net retention rates, well over 100% 'cause we have opportunities to upsell into new modules and expanding the coverage of what they have today. I think the areas that if you cornered enterprise that use us and things they would complain about are things I just told you about, right? There's still some things I want to do in my Splunk, and I need an API to pull my data out and put it in my Splunk and stuff like that, and those are the things we want to enable. >> Yeah, so I can't wait till you guys go public because you got Snowflake up here, and you got Veritas down here, and I'm very curious as to where you guys go. When's the IPO? You want to tell me that? (chuckling) >> Unfortunately, it's not up to us right now. You got to get the markets- >> Yeah, I hear you. Right, if the market were better. Well, if the market were better, you think you'd be out? >> Yeah, I mean, we'd certainly be a viable candidate to go. >> Yeah, there you go. I have a question for you because I don't have a SOC. I run a small business with my co-CEO. We're like 30, 40 people W-2s, we got another 50 or so contractors, and I'm always like have one eye, sleep with one eye open 'cause of security. What is your ideal SMB customer? Think S. >> Yeah. >> Would I fit? >> Yeah, I mean you're you're right in the sweet spot. I think where the company started and where we still have a lot of value proposition, which is companies like, like you said it, you sleep with one eye open, but you don't have necessarily the technical acumen to be able to do that security for yourself, and that's where we fit in. We bring kind of this whole security, we call it Security Operations Cloud, to bear, and we have some of the best professionals in the world who can basically be your SOC for less than it would cost you to hire somebody right out of college to do IT stuff. And so the value proposition's there. You're going to get the best of the best, providing you a kind of a security service that you couldn't possibly build on your own, and that way you can go to bed at night and close both eyes. >> So (chuckling) I'm sure something else would keep me up. But so in thinking about that, our Amazon bill keeps growing and growing and growing. What would it, and I presume I can engage with you on a monthly basis, right? As a consumption model, or how's the pricing work? >> Yeah, so there's two models that we have. So typically the kind of the monthly billing type of models would be through one of our MSP partners, where they have monthly billing capabilities. Usually direct with us is more of a longer term deal, could be one, two, or three, or it's up to the customer. And so we have both of those engagement models. Were doing more and more and more through MSPs today because of that model you just described, and they do kind of target the very S in the SMB as well. >> I mean, rough numbers, even ranges. If I wanted to go with the MSP monthly, I mean, what would a small company like mine be looking at a month? >> Honestly, I do not even know the answer to that. >> We're not talking hundreds of thousands of dollars a month? >> No. God, no. God, no. No, no, no. >> I mean, order of magnitude, we're talking thousands, tens of thousands? >> Thousands, on a monthly basis. Yeah. >> Yeah, yeah. Thousands per month. So if I were to budget between 20 and $50,000 a year, I'm definitely within the envelope. Is that fair? I mean, I'm giving a wide range >> That's fair. just to try to make- >> No, that's fair. >> And if I wanted to go direct with you, I would be signing up for a longer term agreement, correct, like I do with Salesforce? >> Yeah, yeah, a year. A year would, I think, be the minimum for that, and, yeah, I think the budget you set aside is kind of right in the sweet spot there. >> Yeah, I'm interested, I'm going to... Have a sales guy call me (chuckles) somehow. >> All right, will do. >> No, I'm serious. I want to start >> I will. >> investigating these things because we sell to very large organizations. I mean, name a tech company. That's our client base, except for Arctic Wolf. We should talk about that. And increasingly they're paranoid about data protection agreements, how you're protecting your data, our data. We write a lot of software and deliver it as part of our services, so it's something that's increasingly important. It's certainly a board level discussion and beyond, and most large organizations and small companies oftentimes don't think about it or try not to. They just put their head in the sand and, "We don't want to be doing that," so. >> Yeah, I will definitely have someone get in touch with you. >> Cool. Let's see. Anything else you can tell me on the product side? Are there things that you're doing that we talked about, the gaps at the high end that you're, some of the features that you're building in, which was super helpful. Anything in the SMB space that you want to share? >> Yeah, I think the biggest thing that we're doing technically now is really trying to drive more and more automation and efficiency through our operations, and that comes through really kind of a generous use of AI. So building models around more efficient detections based upon signal, but also automating the actions of our operators so we can start to learn through the interface. When they do A and B, they always do C. Well, let's just do C for them, stuff like that. Then also building more automation as far as the response back to third-party solutions as well so we can remediate more directly on third-party products without having to get into the consoles or having our customers do it. So that's really just trying to drive efficiency in the system, and that helps provide better security outcomes but also has a big impact on our margins as well. >> I know you got to go, but I want to show you something real quick. I have data. I do a weekly program called "Breaking Analysis," and I have a partner called ETR, Enterprise Technology Research, and they have a platform. I don't know if you can see this. They have a survey platform, and each quarter, they do a survey of about 1,500 IT decision makers. They also have a survey on, they call ETS, Emerging Technology Survey. So it's private companies. And I don't want to go into it too much, but this is a sentiment graph. This is net sentiment. >> Just so you know, all I see is a white- >> Yeah, just a white bar. >> Oh, that's weird. Oh, whiteboard. Oh, here we go. How about that? >> There you go. >> Yeah, so this is a sentiment graph. So this is net sentiment and this is mindshare. And if I go to Arctic Wolf... So it's typical security, right? The 8,000 companies. And when I go here, what impresses me about this is you got a decent mindshare, that's this axis, but you've also got an N in the survey. It's about 1,500 in the survey, It's 479 Arctic Wolf customers responded to this. 57% don't know you. Oh, sorry, they're aware of you, but no plan to evaluate; 19% plan to evaluate, 7% are evaluating; 11%, no plan to utilize even though they've evaluated you; and 1% say they've evaluated you and plan to utilize. It's a small percentage, but actually it's not bad in the random sample of the world about that. And so obviously you want to get that number up, but this is a really impressive position right here that I wanted to just share with you. I do a lot of analysis weekly, and this is a really, it's completely independent survey, and you're sort of separating from the pack, as you can see. So kind of- >> Well, it's good to see that. And I think that just is a further indicator of what I was telling you. We continue to have a strong financial performance. >> Yeah, in a good market. Okay, well, thanks you guys. And hey, if I can get this recording, Hannah, I may even figure out how to write it up. (chuckles) That would be super helpful. >> Yes. We'll get that up. >> And David or Hannah, if you can send me David's contact info so I can get a salesperson in touch with him. (Hannah chuckling) >> Yeah, great. >> Yeah, we'll work on that as well. Thanks so much for both your time. >> Thanks a lot. It was great talking with you. >> Thanks, you guys. Great to meet you. >> Thank you. >> Bye. >> Bye.

Published Date : Feb 15 2023

SUMMARY :

I think for us, we also have the ability I don't think we overhired And never have? and how are you dealing with that? I think they'll just going to that are going to be So a lot of the steps we're and so I think we want to just continue and the cohorts you're going after, And so I think if you look at the growth So just to follow up but at the same time, we produce some tech and Active Directory and the like, So you don't need to but we have all our own tech behind it. like about the MSSP piece one of the things we want So given that sort of of growth that we have on the So large enterprises would engage with you kind of bringing in the right I inferred some of that is integrations. and it's great that you guys do to get rid of their SIEM. I've never met anyone I think everything that we and expanding the coverage to where you guys go. You got to get the markets- Well, if the market were Yeah, I mean, we'd certainly I have a question for you and that way you can go to bed I can engage with you because of that model you just described, the MSP monthly, I mean, know the answer to that. No. God, no. Thousands, on a monthly basis. I mean, I'm giving just to try to make- is kind of right in the sweet spot there. Yeah, I'm interested, I'm going to... I want to start because we sell to very get in touch with you. doing that we talked about, of our operators so we can start to learn I don't know if you can see this. Oh, here we go. from the pack, as you can see. And I think that just I may even figure out how to write it up. if you can send me David's contact info Thanks so much for both your time. great talking with you. Great to meet you.

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Driving Business Results with Cloud


 

>> 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)

Published Date : Feb 14 2023

SUMMARY :

and help you achieve business outcomes. Thanks for having us. You really got to think about modernizing, in releasing of new things to the field. So Jay, my question to you is, and to drive, you know, the barriers to realizing value to deliver with the, you know, on the journey to the cloud. you know, unique value? I'd be happy to lead to kind of, you know, keep on your premise And I think, you know, you're right, Jay. Help us figure this out, Jim, here. that our partners bring to the table. Even predates, you know, the, the name DXC And, and the right approach Chime in here. the partners, you know, And, and you know, that just That's right. Thank you Dave. Jay, Jim, great to have you on. Great to be here. Nice to be here. that you have to do your manufacturing. add to what Todd just said? the downtime, you know, and the, the blockers, if you will? that they need to think about. they air gapped, you know, the systems. on the factory floor down to the edge. I know it varies, but what, you know, in that we're, you know, You got to have knowledge of So you know, it's a lot to simplify the move and the right level of security. that, you know, you're going to be, it's all of the solutions love to have you back. to be addressed in the coming year. What are you seeing from the front lines and have that ability to So Andrew, you know, I and that you can build out how to make it immutable and isolated, of last decade, you know, "Oh we need to do, you know, A, B and C to go after the backup corpus. for the bad actors to get to. they, you know, had their, and then being able to on, you know, July 4th We do offer the ability to But the key to it, as Andrew said before, to inform you how to, how to We've seen, you know, a USB So that caused the OT you know, go through. and not just the IT side of the house that the board has to adhere to. Thank you so much. that will inspire you to action.

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Adrianna Bustamante, Rackspace Technology | Special Program Series: Women of the Cloud


 

(upbeat music) >> Hey, everyone, welcome to theCube's special program series Women of the Cloud brought to you by AWS. I'm your host, Lisa Martin. I'm very pleased to welcome back one of our alumni Adrianna Bustamante joins me, the VP of Global Alliances at Rackspace Technology. Adrianna, it's great to see you. Thank you so much for joining me today. >> Lisa, thank you so much for having me again. I love this. >> Yeah, me too. Tell me a little bit about you, a little bit about Rackspace Technology, as well as the role that you currently have. >> Sure, so again, I'm Adrianna Bustamante. I look after our global alliances within Rackspace, specifically looking after some of our strategic partners. I've been with Rackspace for a little over 16 years now, working with partners in some form or fashion. Rackspace Technology, we are the multicloud solution experts. We really work with our clients to drive business outcomes and transformations in this multicloud world. And our mission is to embrace technology, empower our customers, and deliver the future. And I get to have the fun pleasure of building and curating and cultivating partnership relationships. So very much our partnerships are important to our success. We are privileged to be able to work with AWS along with other partners across the industry to help do more, and bring more value to clients. >> So you've been with Rackspace Technology for a while. Tell me a little bit about recommendations. Any tactical recommendations that you have for other women, maybe even men who are looking to grow their careers in tech maybe they're wanting to get into tech. What are some of the things that you've learned along the way that you highly recommend? >> Yeah, no, great, great question. I've had the fortune of being at Rackspace now for a number of years, and it's always 'cause I've been able to create my own opportunities and work. And so that really falls in line to some of the recommendations that I hold dear to my heart. And number one is really to stay curious and learn, from reading articles, to staying close, and asking questions from your colleagues. You know, I know just like at AWS and at Rackspace, there are some very talented people across all areas of the business, and they are the best to learn from. You know, I also am a firm believer in developing and expanding that network 'cause that helps you bring and build out your reach and helps you continue to learn in different areas outside the company. I think from raising your hand, leaning in, don't be afraid to speak up. Especially as we think about, you know, women of the cloud which is part of what the theme of this session is. And I think about, you know, how much I love to see women elevated within roles inside of Rackspace and out, you know. It is about raising your hand, getting uncomfortable in speaking up if you're, if you are a bit shy or timid. If there's an area that you are interested in and passionate about, go learn and drive. Because there's opportunities to create new roles for yourself, new ways to bring value into the organization. And then you become memorable for, you know, that, you know this person was known for helping solve this problem. It's been a good fortune. And within our company culture of any Racker, the front lines know how to solve most problems just as much as the top executives. >> Yeah, I love you saying stay curious. I think curiosity is probably one of the best things that people can have. It's, to your point of, I like to call it getting comfortably uncomfortable. Raise your hand, ask a question. I always think, if you're in a meeting, and maybe you tune out or there's something that you don't understand, ask a question. 'Cause I guarantee there's five other people in that room that have the same question, but they're not curious enough or hungry enough to ask the question to learn more. So I think those are such great recommendations that you have provided that I think you probably would tell your younger self stay curious, ask questions. >> Yes, for sure. I also am so big, at least for me personally, context is so important for me. If I understand context, then I'm really able to figure out where can I drive the most value for me personally. And then that goes into leading my teams. And so to me, the only way you get the context is if you're learning or asking the questions if you don't understand. 'Cause it really helps you understand the holistic business. >> A hundred percent. That context is everything. But a lot of people are just a little bit timid sometimes and don't want to be the one to raise their hand in a room or online these days. And I think it's such a great skill that anybody can benefit from. I'd love to know some of your other skills. Some examples of specific success stories where in your current role, where you've really helped organizations solve problems related to the cloud. >> Yes, so, you know, and I think about ultimately we're looking to see and always looking to see how we can help transform our clients' businesses. And often the underlying root of that is through technology solutions. And so, you know, we've helped clients who are mostly, you know, legacy data center based clients that have built large infrastructure components and environments, and they want to learn and lean into the cloud. And they're not really sure how to do that. They probably may have a leader that's told them that they need to do this. Everybody's at a different level of journey. And so, you know, specifically, and especially in partnership with some of our hyperscaler partners just at like AWS is, you know, we can help customers understand what that journey needs to look like. How to successfully move, let's say if they're a large VMware shop today they already have a little bit of cloud native. You know, together through our ecosystem of relationships, we've helped customers not only be able to build and maintain part of their data center footprint that's not ready yet to transform, but move some of this into a facility that is within our data centers to get out of that huge kind of CapEx heavy workload type environment. And then, and especially with AWS, and the partnership that they have along with Rackspace, with VMware, we leverage BMC on AWS solutions. And then we can help them fully embrace that cloud native. And from a Rackspace perspective we are providing those services and expertise across all levels in a single pane of glass. So you can manage from your more traditional workloads to embracing more of a cloud native approach. >> And it's all about helping clients drive business outcomes as you said. Every organization these days, I always like to think, whether it's my grocery store retailer or bank has to be a data driven company. But it has to leverage obviously the cloud. But there's so many options. It's quite nebulous, no pun intended, maybe pun intended. So, but it's all about helping clients drive those business outcomes. I imagine it's quite fulfilling for you to be able to help different types of organizations really maximize their use of technology, their understanding of technology, to really build bridges, deliver the products and services that everybody's expecting these days. >> Yes. No and I think what I, again, it's what I love about being in partnerships because those relationships become fundamental in helping remove those complexities for the clients. And so the more that we as Rackspace are able to connect and deepen these relationships it just becomes less decision making, less things that the client ultimately has to think about. So nothing gives me more joy than being able to help solve the customer's problems. And then in turn we're doing that through our partnership relationships. So we're bringing everybody together to ultimately provide a better outcome for the client. >> Yeah. And as you said, those relationships are foundational to everything and ultimately the outcomes that the end customer is able to deliver to these demanding, whether it's consumer or business or whatnot. A lot of challenges that organizations have today. But it sounds like the relationship cultivating that you're helping lead is really critical in those organizations being able to embrace technology, utilize it in ways that allow them to get products and services to market as fast as the consumer demands. I'd love to get your perspective as a female in technology. We talk a lot about diversity, inclusion, equity. We can talk about it all day long, but there's still some challenges there. What are some of the challenges that you see that are still persistent with respect to diversity and tech today? And maybe some of your recommendations to eradicate some of those? >> No, sure. So, you know, it starts really early. It starts almost in education and making sure that women, and a diverse set of applicants are taking certain, studying certain disciplines. And then I think about it from a recruiting and hiring perspective. Are organizations doing enough to expand their reach? You know, we were actually talking- I have the good fortune of being the executive sponsor of our resource group within Rackspace. It's called Power, which is the professional organization of women's empowerment at Rackspace. And we were talking just I think last week on, we need to make sure we're going where the women are to make sure we are letting them know about Rackspace, the benefits about Rackspace. And it ultimately, in turn that helps build more recruiting into the talent pool. More people are raising their hand and interviewing and hiring. I think talent in general as we're seeing right now, is so hard to come by, and so even more important to retain. And the more diverse pools that we have of Rackers, it's just bringing different perspectives, and Rackers are what we call Rackspace employees. It's bringing those Rackers together to help solve the bigger problems. Because you're able to do more with a diverse set of outlook. And I think, you know, as a woman, I want to have that equitable seat at the table. And so ultimately when I think about myself from a leadership perspective, am I making sure that all of those opportunities are available for the women that come along behind me? And how am I elevating other women within our organization from a day-to-day so they have that spotlight. So, you know, fundamentally, organizations need to focus on how to expand that reach to bring that diverse set of applicants and voices. And then you need strong leaders at every level to be advocates and sponsors to make sure that this is an important topic and top of mind in all organizations. So you can ultimately provide an equitable approach. >> Yeah, I love that. I agree a hundred percent. You know, it's so important to start at the education front, but also to be able to have just the thought diversity alone in organizations. I've seen many studies that show having females in executive positions are, companies that do that, are more profitable. There's a lot of data out there that demonstrates that there are huge advantages to any type of organization to really invest in diversity. But to your point, it's not just about attracting, it's about retaining the talent as well. I mean that, that is critical for every business. >> Yes. No absolutely. You know, more and more we're starting to see that soft benefits are becoming more important as we think about a younger workforce coming in. And when I think about soft benefits, it's more around our employee resource groups. What our benefits look like for our females within our healthcare, within the insurance plans? What type of time off and maternity benefits are we extending? What does that work-life balance look like in a hybrid world or a virtual world? Those questions become, I mean, when I remember years ago no one would even think about asking those questions. And now we see, not only those questions coming up more regularly, but we are trying to be more intentional within our organization. To be proactive about that messaging so we can help show and demonstrate that we are an inclusive community. And that there's support for women to be successful within Rackspace. You know, we have mentoring programs that we do that are you know, that we really try to highlight and promote for our female community. And then also for our broader community. We look at building different circles that women can come together in a space that they feel comfortable to ask questions. To figure out how do they excel and advance in their career. Those become very attractive for getting that talent that we want. >> Absolutely. And you just brought up such a great point, Adrianna and that's intention. Programs like what you're describing that the Rackers have opportunity to access, is that there's intention in all of this. Which is so critical for diversity programs to be successful. To attract the right talent, to retain the right talent. It's like a flywheel, I think it's all, it's all linked together. But I'd love to know what you see that's next in cloud. How do you see your role evolving in the industry? We talked about the great relationship building that you're doing. What do you see as next in cloud? >> No, sure. Again, 'cause I helplessly can't be biased. It is all about to me that that partner ecosystem. It is how we can build strong relationships that help minimize the complexities for the clients. You know, now the pace for innovation and competitive edge is faster than it was than we saw 24 months ago. You know, we saw COVID advance lots of different areas of the business, but really it forced a lot of companies to transform. And this is where I think there's a unique opportunity to really look at what a partner ecosystem looks like. You know, who are the right partners that organizations like AWS, like Rackspace should be working with. 'Cause oftentimes the partners that were our partners and key partners, maybe three to five years ago, maybe aren't going to be as relevant in that same ecosystem in the next five years. So constantly making sure that we have the right ecosystem in place, and the right relationships to help ultimately drive better outcomes for the clients. >> And that's like we said several times already during this interview. It's all about the outcomes for clients. You mentioned COVID, you know, there's been- I call 'em COVID catalysts. A lot of transformation, forcing function. There's definitely been some silver linings, but I'd love to get your perspective if we go back like the last five years. Some of the biggest changes that you've seen in the tech workforce, in innovation, in the last, you know, three to five years that really excite you. >> Yeah, so I think we all had to learn to be virtual by default. And so I think we're just coming out. People are excited to be in person again. You know, when we have different events, whether they be with internal Rackers or with partners or clients, like everyone's excited to to see each other again. But you're still seeing this mix of, we need to be hybrid by default, which I know wasn't in everybody's DNA from a technology perspective. And I think that's enabling more virtual teams, more matrixed type of teams, where you're bringing together different expertise across the organization to move at a faster pace. You know, we talk about, you know, we talk about COVID which led to that great resignation where you saw many people changing their jobs. You know, we saw women not only within Rackspace, but even outside, like really, you know, take a pause and really start thinking about what's important to them in that returning to work. And so I just think all of this has really, as you mentioned, Lisa, of forcing function on being intentional to create the right environments that are building a place that we can retain that level of skill and expertise. And I think that's just going to become something that's more increasingly important with every year and profession choice. >> I agree. It's going to be building upon, like it's that flywheel that I'm talking about. That of successes, of promoting women, of making sure that there's plenty of opportunity. Encouraging women, to your point, to be curious raise your hand, ask the question. There's so much value, it's invaluable for organizations to really have diversity throughout their organization. You did a great job of explaining. Even in the benefits framework. So, I so appreciate you being on theCUBE. Adrianna, it's great to see you again. Thank you for sharing your story, the successes that you've had as a Racker in cloud, and some of the things that you recommend to the next generation. We really appreciate your time. >> No, thank you. If I can walk into more rooms where there is more women at the table and on the calls, I am a happier individual. So I love any opportunity to really see how we can continue to make more space in the rooms for women that are just overly talented and deserve to be there. >> I am with you on that. Again, thank you so much. Great to see you and we'll see you again soon. >> Thank you, Lisa. Take care. Have a good afternoon. >> Thank you. We want to thank you for watching theCube's special program series Women of the Cloud, brought to you by AWS. I'm Lisa Martin, thanks for watching. (upbeat music)

Published Date : Feb 13 2023

SUMMARY :

Women of the Cloud brought to you by AWS. Lisa, thank you so that you currently have. And I get to have the along the way that you highly recommend? And so that really falls in line to some in that room that have the same question, And so to me, the only I'd love to know some that they need to do this. to be able to help different And so the more that we as Rackspace and services to market as and so even more important to retain. You know, it's so important to and demonstrate that we But I'd love to know what of companies to transform. innovation, in the last, you know, You know, we talk about, you and some of the things that you recommend and deserve to be there. Great to see you and Have a good afternoon. brought to you by AWS.

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Driving Business Results with Cloud Transformation - Jim Shook and Andrew Gonzalez


 

>> 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. 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 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 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 100% of the time against 100% 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, 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. And as Jim was saying, 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 SIM2B 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 in a yellow sticky? You know, it's got to be somewhere safe, right? So, you have to think about that chain as well, right? >> Absolutely. Yeah. 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. >> If I go back to sort of earlier part of last decade, cybersecurity was kind of a check-off item, and then as you got toward the middle part of the decade, and I'd say clearly by 2016, security became a boardroom issue, it was on the agenda every quarter at the board meetings. So, compliance is no longer the driver is my point. The driver is business risk, real loss of reputation, or data, or money, etc. What are the business implications of not having your cyber house in order today? >> They're extreme, Dave. I mean, 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 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, 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 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 the strategy from there. >> 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 a 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 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 might say a cyber vault, or 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 prior to the pandemic, they 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 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 realtime. 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 'em out, to ensure that we are back into production in short order. >> This discussion we've been having about DR kind of versus resilience, 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 maybe they tested it on July 4th or something like that, but I'm inferring that's changed. I wonder if we could double-click on recovery, how hard is it to test that recovery, and how quickly are you seeing organizations recover from attacks? >> So, it depends, right? On the industry vertical, what kind of data, again, 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 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. In 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 recovery kind of 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 respond and how to prioritize. Andrew, one of the things that we hear a lot on theCUBE, especially lately, is around IOT, IIOT, Industry 4.0, the whole OT security piece of it. And the problem being that, 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 driving efficiency, preventative maintenance, etc. 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 can come in many forms, we've seen instances of social engineering, we've seen 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 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 business is, right? So, 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 data entails to put in the vault from an IOT perspective is just as critical as it is for your core systems. >> Jim, anything you can add to this topic? >> Yeah, I think you hit on 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 lucrative. It's like this never-ending battle that cybersecurity pros go through, it really is kind of frontline sort of technical heroes, if you will. But sometimes it just feels daunting. Why are you optimistic about the future of cyber from the good guys' perspective? >> I think we're coming at the problem the right way, Dave, so that focus, I'm so pleased with the idea that we are planning that the systems aren't going to be 100% capable every single time and let's figure that out, right? 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 add to that, I think furthering education for the client base is important. 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 really important topic. Keep keep up the good work. Appreciate it. >> Thanks, Dave. >> 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.

Published Date : Feb 9 2023

SUMMARY :

in the coming year. in terms of the attack surface they adapt to everything that we do, about living off the land, of course, and that you can build out how to make it immutable and isolated, What are the business implications You need to look at what the One of the most common targets for the bad actors to get to. but I've talked to a and then how to recover how hard is it to test that recovery, But it depends on the client. But the key to it, as Andrew said before, data is going to inform you to put in the vault the ability to recover them from the good guys' perspective? and not just the IT side of the house that the board has to adhere to. We got to go. really meeting the changing

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Driving Business Results with Cloud Transformation - Aditi Banerjee and Todd Edmunds


 

>> 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.

Published Date : Feb 9 2023

SUMMARY :

Welcome back to the program. Great to be here. the manufacturing industry? and to be able to stay add to what Todd just said? the downtime, you know, the incumbents have to continue that they need to think about. So that's got to be a on the factory floor down to the edge. of the digital equivalent and have a lot to offer to be You got to have knowledge of that are needed to smart to simplify the move to How that impacts the smart factory. to deliver the best value It's all of the solutions And love to have you back. that educate and inspire on theCUBE.

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Driving Business Results with Cloud Transformation - Jay Dowling & Jim Miller


 

>> 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, America's Sales Lead for cloud and Infrastructure Services, both with DXC Technology. Gentlemen, thanks for your time today, welcome to The Cube. >> 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 zeroes 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 3 aspects that the cloud plays in modernization. You mentioned multiple zeroes. One is cost optimization. And that can be achieved through business operations, through environmental, social, in 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 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 3 aspects. Cost optimization, agility and innovation, and resilience. >> So, thank you for that, so, Jay, I got to ask you, the current climate, ever body's sort of 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 mine today. I think everybody really, you know, understands the innovation and agility piece. At least at a high level, maybe realizing it is different. >> Sure >> 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 may 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? >> You know, 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. 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 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 Pram or, in other environments, in the hybrid environment or multi cloud environment, and still be very optimized from a cost/spend standpoint. And also put yourself in position for modernization and be able to bring the things to the business that the clients are, you know their clients are looking for like the CMO and the CFO etc. trying to use IT as a leverage to drive business and to drive business acceleration and to drive profitability, frankly. So there's a lot of dependency on infrastructure, but there's a lot of elements to it 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 so that they can really deliver on what the promises are for their departments. >> So, lets talk about some of the barriers to realizing value in the context of modernization. We talked about cost optimization, agility, and resilience. But there's a business angle and there's a technical angle here. We already talked about people, process, and technology. Technology oftentimes CIO's will tell us 'Well that's the easy part. We'll figure 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 out there in the market from the standards that are being built by Best in Class models. And there's many people who that have got on cloud juries have 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 change management aspect that you need to look at with the environments. There's a skillset environment that they need to be prepared for. Do they have the people to deliver with the tools and the skills and the models that they're putting themselves in place for in the future versus where they are now. There's just a lot of different elements. It's not just that this price is better or this can operate better than one environment over the other. I think we like to try and look at things holistically and make sure that we're being 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 and we can bring those best practices forward because we've worked across such a broad spectrum of clients versus them being somewhat contained and sometimes can't see outside of their own challenges, if you would. So they need advocacy to help bring them to the next level. And we like to translate that through technology advances which Jim is really good at doing for us. >> Yeah Jim, is the big barrier a skills issue? You know, bench strength? Are their other considerations from your perspective? >> We've identified a number of factors that inhibit success 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 other cloud providers on their current pricing structure and performance. And we see pricing and structure changing dramatically every few months between the various cloud providers. And you have to be flexible enough 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 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 costs savings, 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 mentioned multi-cloud just then. On January 17th we had our Super Cloud 2 event. And Super Cloud is basically what multi-cloud should have been I like to say. So it's creating a common experience across clouds. You guys were talking about you know, there's different governance, different securities, different pricing. So, and one of the takeaways from this event and talking to customers and practitioners and technologists is you can't go it alone. So I wonder if you'd talk about your partnership strategy? What do partners bring to the table? What is DXC's unique value? >> I'd be happy to lead with that if you'd like. >> Great >> We've got a vast partner ecosystem at DXC, given the size and the history of the company. I use several examples. One of the larger partners in my particular space is Dell Technology. They're a great partner for us across many different areas of the business. It's not just storage and compute play anymore. They're on the edge. They've got intelligence in their networking devices now. And they've really brought a lot of value to us as a partner. You can look at Dell Technology as somebody that might have a victim effect because of all of the hyper-scaling activity and all of the cloud activity but they've really taken an outstanding attitude with this and said listen not all things are destined for cloud or not all things would operate better in a cloud environment. And they like to be apart of those discussions to see how they can, how we can bring a multi-cloud environment, both private and public to clients and let's look at the applications and the infrastructure and what's the best optimal running environment for us to be able to bring the greatest value to the business with speed, with security and the the things that they want to keep close to the business are often things that you want to keep on your premise or keep in your own data centers. So they're an ideal model of somebody that's resourced this well, partnered in this well in the market and we continue to grow that relationship day in and day out with those guys. And we really appreciate their support of our strategy and we like to also compliment their strategy and 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 zero-sum game and I think you're right Jay. I think initially people felt like oh wow, it is a zero-sum game but it's clearly not. And this idea of whether you call it Super Cloud or Uber Cloud or Multi Cloud, clearly Dell is headed in that direction. Look at some of their future projects, their narrative. I'm curious from a technology standpoint Jim, what your role is. Is it to make it all work? Is it to end to end? Wondering if you could help us understand that. >> Help us figure it out Jim, here. >> Glad to expand on that. Well, 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 customer's changing needs overtime. 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; pre-dates the name DXC and 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 is, we call it cloud right. And that approach is making the right investments, at the right time, and on the right platforms. And our partners play a key role in that. So 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 the right approach might include main frame, it might include and on-premises infrastructure it could include private cloud, public cloud and SAS components all integrated together to deliver that value. >> Yeah Jay please. Let me tell you, this is a complicated situation for a lot of customers. But, chime in here. >> Yeah if you're speaking specifically to Dell here like, they also walk the talk right. They invest in DXC as a partnership. They put people on the ground. Their only purpose in life is to help DXC succeed with Dell, arm in arm, in front of clients. And it's not a winner take all thing at all. It's really a true partnership. They've brought solution resources. We have an account CTO, we've got executive sponsorship. We do regular QVR meetings. We have regular executive touch-point meetings. It's really important that you keep high level of intimacy with the clients, with the partners in the GSI community. And I've been with several GSI's and this is an exceptional example of true partnership and commitment to success with Dell Technology. I'm really extremely impressed on the engagement level that we've had there, and continue to show a lot of support both for them. And 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 and our partnership and our go-to-market strategy. >> Well I think too, just my observation is a lot of it is about trust. You guys have both earned the trust over the years. Ticking your arrows over decades, and that just doesn't happen overnight. Guys I appreciate it. Thanks for your time. It's all about getting Cloud Right, isn't it? >> That's right. Thank you Dave. Appreciate it very much. >> Thank you >> Jay, great to have you on. Keep it right there for more action on The CUBE. We'll be right back.

Published Date : Feb 9 2023

SUMMARY :

and I'm here with James Miller, You really got to think about and the capability to that seems to be one of the top areas So, Jay, my question to you is, bring the things to the business and be open to the ideas that on the journey to the cloud. and one of the takeaways I'd be happy to lead And they like to be apart Is it to end to end? and also adapt to many of as to what's, how you would And the right approach in here. and commitment to success earned the trust over Thank you Jay, great to have you

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Humphreys & Ferron-Jones | Trusted security by design, Compute Engineered for your Hybrid World


 

(upbeat music) >> Welcome back, everyone, to our Cube special programming on "Securing Compute, Engineered for the Hybrid World." We got Cole Humphreys who's with HPE, global server security product manager, and Mike Ferron-Jones with Intel. He's the product manager for data security technology. Gentlemen, thank you for coming on this special presentation. >> All right, thanks for having us. >> So, securing compute, I mean, compute, everyone wants more compute. You can't have enough compute as far as we're concerned. You know, more bits are flying around the internet. Hardware's mattering more than ever. Performance markets hot right now for next-gen solutions. When you're talking about security, it's at the center of every single conversation. And Gen11 for the HPE has been big-time focus here. So let's get into the story. What's the market for Gen11, Cole, on the security piece? What's going on? How do you see this impacting the marketplace? >> Hey, you know, thanks. I think this is, again, just a moment in time where we're all working towards solving a problem that doesn't stop. You know, because we are looking at data protection. You know, in compute, you're looking out there, there's international impacts, there's federal impacts, there's state-level impacts, and even regulation to protect the data. So, you know, how do we do this stuff in an environment that keeps changing? >> And on the Intel side, you guys are a Tier 1 combination partner, Better Together. HPE has a deep bench on security, Intel, We know what your history is. You guys have a real root of trust with your code, down to the silicon level, continuing to be, and you're on the 4th Gen Xeon here. Mike, take us through the Intel's relationship with HPE. Super important. You guys have been working together for many, many years. Data security, chips, HPE, Gen11. Take us through the relationship. What's the update? >> Yeah, thanks and I mean, HPE and Intel have been partners in delivering technology and delivering security for decades. And when a customer invests in an HPE server, like at one of the new Gen11s, they're getting the benefit of the combined investment that these two great companies are putting into product security. On the Intel side, for example, we invest heavily in the way that we develop our products for security from the ground up, and also continue to support them once they're in the market. You know, launching a product isn't the end of our security investment. You know, our Intel Red Teams continue to hammer on Intel products looking for any kind of security vulnerability for a platform that's in the field. As well as we invest heavily in the external research community through our bug bounty programs to harness the entire creativity of the security community to find those vulnerabilities, because that allows us to patch them and make sure our customers are staying safe throughout that platform's deployed lifecycle. You know, in 2021, between Intel's internal red teams and our investments in external research, we found 93% of our own vulnerabilities. Only a small percentage were found by unaffiliated external entities. >> Cole, HPE has a great track record and long history serving customers around security, actually, with the solutions you guys had. With Gen11, it's more important than ever. Can you share your thoughts on the talent gap out there? People want to move faster, breaches are happening at a higher velocity. They need more protection now than ever before. Can you share your thoughts on why these breaches are happening, and what you guys are doing, and how you guys see this happening from a customer standpoint? What you guys fill in with Gen11 with solution? >> You bet, you know, because when you hear about the relentless pursuit of innovation from our partners, and we in our engineering organizations in India, and Taiwan, and the Americas all collaborating together years in advance, are about delivering solutions that help protect our customer's environments. But what you hear Mike talking about is it's also about keeping 'em safe. Because you look to the market, right? What you see in, at least from our data from 2021, we have that breaches are still happening, and lot of it has to do with the fact that there is just a lack of adequate security staff with the necessary skills to protect the customer's application and ultimately the workloads. And then that's how these breaches are happening. Because ultimately you need to see some sort of control and visibility of what's going on out there. And what we were talking about earlier is you see time. Time to seeing some incident happen, the blast radius can be tremendous in today's technical, advanced world. And so you have to identify it and then correct it quickly, and that's why this continued innovation and partnership is so important, to help work together to keep up. >> You guys have had a great track record with Intel-based platforms with HPE. Gen11's a really big part of the story. Where do you see that impacting customers? Can you explain the benefits of what's going on with Gen11? What's the key story? What's the most important thing we should be paying attention to here? >> I think there's probably three areas as we look into this generation. And again, this is a point in time, we will continue to evolve. But at this particular point it's about, you know, a fundamental approach to our security enablement, right? Partnering as a Tier 1 OEM with one of the best in the industry, right? We can deliver systems that help protect some of the most critical infrastructure on earth, right? I know of some things that are required to have a non-disclosure because it is some of the most important jobs that you would see out there. And working together with Intel to protect those specific compute workloads, that's a serious deal that protects not only state, and local, and federal interests, but, really, a global one. >> This is a really- >> And then there's another one- Oh sorry. >> No, go ahead. Finish your thought. >> And then there's another one that I would call our uncompromising focus. We work in the industry, we lead and partner with those in the, I would say, in the good side. And we want to focus on enablement through a specific capability set, let's call it our global operations, and that ability to protect our supply chain and deliver infrastructure that can be trusted and into an operating environment. You put all those together and you see very significant and meaningful solutions together. >> The operating benefits are significant. I just want to go back to something you just said before about the joint NDAs and kind of the relationship you kind of unpacked, that to me, you know, I heard you guys say from sand to server, I love that phrase, because, you know, silicone into the server. But this is a combination you guys have with HPE and Intel supply-chain security. I mean, it's not just like you're getting chips and sticking them into a machine. This is, like, there's an in-depth relationship on the supply chain that has a very intricate piece to it. Can you guys just double down on that and share that, how that works and why it's important? >> Sure, so why don't I go ahead and start on that one. So, you know, as you mentioned the, you know, the supply chain that ultimately results in an end user pulling, you know, a new Gen11 HPE server out of the box, you know, started, you know, way, way back in it. And we've been, you know, Intel, from our part are, you know, invest heavily in making sure that all of our entire supply chain to deliver all of the Intel components that are inside that HPE platform have been protected and monitored ever since, you know, their inception at one of any of our 14,000, you know, Intel vendors that we monitor as part of our supply-chain assurance program. I mean we, you know, Intel, you know, invests heavily in compliance with guidelines from places like NIST and ISO, as well as, you know, doing best practices under things like the Transported Asset Protection Alliance, TAPA. You know, we have been intensely invested in making sure that when a customer gets an Intel processor, or any other Intel silicone product, that it has not been tampered with or altered during its trip through the supply chain. HPE then is able to pick up that, those components that we deliver, and add onto that their own supply-chain assurance when it comes down to delivering, you know, the final product to the customer. >> Cole, do you want to- >> That's exactly right. Yeah, I feel like that integration point is a really good segue into why we're talking today, right? Because that then comes into a global operations network that is pulling together these servers and able to deploy 'em all over the world. And as part of the Gen11 launch, we have security services that allow 'em to be hardened from our factories to that next stage into that trusted partner ecosystem for system integration, or directly to customers, right? So that ability to have that chain of trust. And it's not only about attestation and knowing what, you know, came from whom, because, obviously, you want to trust and make sure you're get getting the parts from Intel to build your technical solutions. But it's also about some of the provisioning we're doing in our global operations where we're putting cryptographic identities and manifests of the server and its components and moving it through that supply chain. So you talked about this common challenge we have of assuring no tampering of that device through the supply chain, and that's why this partnering is so important. We deliver secure solutions, we move them, you're able to see and control that information to verify they've not been tampered with, and you move on to your next stage of this very complicated and necessary chain of trust to build, you know, what some people are calling zero-trust type ecosystems. >> Yeah, it's interesting. You know, a lot goes on under the covers. That's good though, right? You want to have greater security and platform integrity, if you can abstract the way the complexity, that's key. Now one of the things I like about this conversation is that you mentioned this idea of a hardware-root-of-trust set of technologies. Can you guys just quickly touch on that, because that's one of the major benefits we see from this combination of the partnership, is that it's not just one, each party doing something, it's the combination. But this notion of hardware-root-of-trust technologies, what is that? >> Yeah, well let me, why don't I go ahead and start on that, and then, you know, Cole can take it from there. Because we provide some of the foundational technologies that underlie a root of trust. Now the idea behind a root of trust, of course, is that you want your platform to, you know, from the moment that first electron hits it from the power supply, that it has a chain of trust that all of the software, firmware, BIOS is loading, to bring that platform up into an operational state is trusted. If you have a breach in one of those lower-level code bases, like in the BIOS or in the system firmware, that can be a huge problem. It can undermine every other software-based security protection that you may have implemented up the stack. So, you know, Intel and HPE work together to coordinate our trusted boot and root-of-trust technologies to make sure that when a customer, you know, boots that platform up, it boots up into a known good state so that it is ready for the customer's workload. So on the Intel side, we've got technologies like our trusted execution technology, or Intel Boot Guard, that then feed into the HPE iLO system to help, you know, create that chain of trust that's rooted in silicon to be able to deliver that known good state to the customer so it's ready for workloads. >> All right, Cole, I got to ask you, with Gen11 HPE platforms that has 4th Gen Intel Xeon, what are the customers really getting? >> So, you know, what a great setup. I'm smiling because it's, like, it has a good answer, because one, this, you know, to be clear, this isn't the first time we've worked on this root-of-trust problem. You know, we have a construct that we call the HPE Silicon Root of Trust. You know, there are, it's an industry standard construct, it's not a proprietary solution to HPE, but it does follow some differentiated steps that we like to say make a little difference in how it's best implemented. And where you see that is that tight, you know, Intel Trusted Execution exchange. The Intel Trusted Execution exchange is a very important step to assuring that route of trust in that HPE Silicon Root of Trust construct, right? So they're not different things, right? We just have an umbrella that we pull under our ProLiant, because there's ILO, our BIOS team, CPLDs, firmware, but I'll tell you this, Gen11, you know, while all that, keeping that moving forward would be good enough, we are not holding to that. We are moving forward. Our uncompromising focus, we want to drive more visibility into that Gen11 server, specifically into the PCIE lanes. And now you're going to be able to see, and measure, and make policies to have control and visibility of the PCI devices, like storage controllers, NICs, direct connect, NVME drives, et cetera. You know, if you follow the trends of where the industry would like to go, all the components in a server would be able to be seen and attested for full infrastructure integrity, right? So, but this is a meaningful step forward between not only the greatness we do together, but, I would say, a little uncompromising focus on this problem and doing a little bit more to make Gen11 Intel's server just a little better for the challenges of the future. >> Yeah, the Tier 1 partnership is really kind of highlighted there. Great, great point. I got to ask you, Mike, on the 4th Gen Xeon Scalable capabilities, what does it do for the customer with Gen11 now that they have these breaches? Does it eliminate stuff? What's in it for the customer? What are some of the new things coming out with the Xeon? You're at Gen4, Gen11 for HP, but you guys have new stuff. What does it do for the customer? Does it help eliminate breaches? Are there things that are inherent in the product that HP is jointly working with you on or you were contributing in to the relationship that we should know about? What's new? >> Yeah, well there's so much great new stuff in our new 4th Gen Xeon Scalable processor. This is the one that was codenamed Sapphire Rapids. I mean, you know, more cores, more performance, AI acceleration, crypto acceleration, it's all in there. But one of my favorite security features, and it is one that's called Intel Control-Flow Enforcement Technology, or Intel CET. And why I like CET is because I find the attack that it is designed to mitigate is just evil genius. This type of attack, which is called a return, a jump, or a call-oriented programming attack, is designed to not bring a whole bunch of new identifiable malware into the system, you know, which could be picked up by security software. What it is designed to do is to look for little bits of existing, little bits of existing code already on the server. So if you're running, say, a web server, it's looking for little bits of that web-server code that it can then execute in a particular order to achieve a malicious outcome, something like open a command prompt, or escalate its privileges. Now in order to get those little code bits to execute in an order, it has a control mechanism. And there are different, each of the different types of attacks uses a different control mechanism. But what CET does is it gets in there and it disrupts those control mechanisms, uses hardware to prevent those particular techniques from being able to dig in and take effect. So CET can, you know, disrupt it and make sure that software behaves safely and as the programmer intended, rather than picking off these little arbitrary bits in one of these return, or jump, or call-oriented programming attacks. Now it is a technology that is included in every single one of the new 4th Gen Xeon Scalable processors. And so it's going to be an inherent characteristic the customers can benefit from when they buy a new Gen11 HPE server. >> Cole, more goodness from Intel there impacting Gen11 on the HPE side. What's your reaction to that? >> I mean, I feel like this is exactly why you do business with the big Tier 1 partners, because you can put, you know, trust in from where it comes from, through the global operations, literally, having it hardened from the factory it's finished in, moving into your operating environment, and then now protecting against attacks in your web hosting services, right? I mean, this is great. I mean, you'll always have an attack on data, you know, as you're seeing in the data. But the more contained, the more information, and the more control and trust we can give to our customers, it's going to make their job a little easier in protecting whatever job they're trying to do. >> Yeah, and enterprise customers, as you know, they're always trying to keep up to date on the skills and battle the threats. Having that built in under the covers is a real good way to kind of help them free up their time, and also protect them is really killer. This is a big, big part of the Gen11 story here. Securing the data, securing compute, that's the topic here for this special cube conversation, engineering for a hybrid world. Cole, I'll give you the final word. What should people pay attention to, Gen11 from HPE, bottom line, what's the story? >> You know, it's, you know, it's not the first time, it's not the last time, but it's our fundamental security approach to just helping customers through their digital transformation defend in an uncompromising focus to help protect our infrastructure in these technical solutions. >> Cole Humphreys is the global server security product manager at HPE. He's got his finger on the pulse and keeping everyone secure in the platform integrity there. Mike Ferron-Jones is the Intel product manager for data security technology. Gentlemen, thank you for this great conversation, getting into the weeds a little bit with Gen11, which is great. Love the hardware route-of-trust technologies, Better Together. Congratulations on Gen11 and your 4th Gen Xeon Scalable. Thanks for coming on. >> All right, thanks, John. >> Thank you very much, guys, appreciate it. Okay, you're watching "theCube's" special presentation, "Securing Compute, Engineered for the Hybrid World." I'm John Furrier, your host. Thanks for watching. (upbeat music)

Published Date : Feb 6 2023

SUMMARY :

for the Hybrid World." And Gen11 for the HPE has So, you know, how do we do this stuff And on the Intel side, you guys in the way that we develop and how you guys see this happening and lot of it has to do with the fact that Gen11's a really big part of the story. that you would see out there. And then Finish your thought. and that ability to that to me, you know, I heard you guys say out of the box, you know, and manifests of the is that you mentioned this idea is that you want your is that tight, you know, that HP is jointly working with you on and as the programmer intended, impacting Gen11 on the HPE side. and the more control and trust and battle the threats. you know, it's not the first time, is the global server security for the Hybrid World."

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HPE Compute Engineered for your Hybrid World - Transform Your Compute Management Experience


 

>> Welcome everyone to "theCUBE's" coverage of "Compute engineered for your hybrid world," sponsored by HP and Intel. Today we're going to going to discuss how to transform your compute management experience with the new 4th Gen Intel Xeon scalable processors. Hello, I'm John Furrier, host of "theCUBE," and my guests today are Chinmay Ashok, director cloud engineering at Intel, and Koichiro Nakajima, principal product manager, compute at cloud services with HPE. Gentlemen, thanks for coming on this segment, "Transform your compute management experience." >> Thanks for having us. >> Great topic. A lot of people want to see that system management one pane of glass and want to manage everything. This is a really important topic and they started getting into distributed computing and cloud and hybrid. This is a major discussion point. What are some of the major trends you guys see in the system management space? >> Yeah, so system management is trying to help user manage their IT infrastructure effectively and efficiently. So, the system management is evolving along with the IT infrastructures which is trying to accommodate market trends. We have been observing the continuous trends like digital transformation, edge computing, and exponential data growth never stops. AI, machine learning, deep learning, cloud native applications, hybrid cloud, multi-cloud strategies. There's a lot of things going on. Also, COVID-19 pandemic has changed the way we live and work. These are all the things that, given a profound implication to the system design architectures that system management has to consider. Also, security has always been the very important topic, but it has become more important than ever before. Some of the research is saying that the cyber criminals becoming like a $10.5 trillion per year. We all do our efforts on the solution provider size and on the user side, but still cyber criminals are growing 15% year by year. So, with all this kind of thing in the mind, system management really have to evolve in a way to help user efficiently and effectively manage their more and more distributed IT infrastructure. >> Chinmay, what's your thoughts on the major trends in system management space? >> Thanks, John, Yeah, to add to what Koichiro said, I think especially with the view of the system or the service provider, as he was saying, is changing, is evolving over the last few years, especially with the advent of the cloud and the different types of cloud usage models like platform as a service, on-premises, of course, infrastructure is a service, but the traditional software as a service implies that the service provider needs a different view of the system and the context in which we need the CPU vendor, or the platform vendor needs to provide that, is changing. That includes both in-band telemetry being able to monitor what is going on on the system through traditional in-band methods, but also the advent of the out-of-band methods to do this without end user disruption is a key element to the enhancements that our customers are expecting from us as we deploy CPUs and platforms. >> That's great. You know what I love about this discussion is we had multiple generation enhancements, 4th Gen Xeon, 11th Gen ProLiant, iLOs going to come up with got another generation increase on that one. We'll get into that on the next segment, but while we're here, what is iLO? Can you guys define what that is and why it's important? >> Yeah, great question. Real quick, so HPE Integrated Lights-Out is the formal name of the product and we tend to call it as a iLO for short. iLO is HPE'S BMC. If you're familiar with this topic it's a Baseboard Management Controller. If not, this is a small computer on the server mother board and it runs independently from host CPU and the operating system. So, that's why it's named as Lights-Out. Now what can you do with the iLO? iLO really helps a user manage and use and monitor the server remotely, securely, throughout its life from the deployment to the retirement. So, you can really do things like, you know, turning a server power on, off, install operating system, access to IT, firmware update, and when you decide to retire server, you can completely wipe the data off that server so then it's ready to trash. iLO is really a best solution to manage a single server, but when you try to manage hundreds or thousand of servers in a larger scale environment, then managing server one by one by one through the iLO is not practical. So, HPE has two options. One of them is a HPE OneView. OneView is a best solution to manage a very complex, on-prem IT infrastructure that involves a thousand of servers as well as the other IT elements like fiber channel storage through the storage agent network and so on. Another option that we have is HPE for GreenLake Compute Ops Management. This is our latest, greatest product that we recently launched and this is a best solution to manage a distributed IT environment with multiple edge points or multiple clouds. And I recently involved in the customer conversation about the computer office management and with the hotel chain, global hotel chain with 9,000 locations worldwide and each of the location only have like a couple of servers to manage, but combined it's, you know, 27,000 servers and over the 9,000 locations, we didn't really have a great answer for that kind of environment before, but now HPE has GreenLake for computer office management for also deal with, you know, such kind of environment. >> Awesome. We're going to do a big dive on iLO in the next segment, but Chinmay, before we end this segment, what is PMT? >> Sure, so yeah, with the introduction of the 4th Gen Intel Xeon scalable processor, we of course introduce many new technologies like PCI Gen 5, DDR5, et cetera. And these are very key to general system provision, if you will. But with all of these new technologies come new sources of telemetry that the service provider now has to manage, right? So, the PMT is a technology called Platform Monitoring Technology. That is a capability that we introduced with the Intel 4th Gen Xeon scalable processor that allows the service provider to monitor all of these sources of telemetry within the system, within the system on chip, the CPU SOC, in all of these contexts that we talked about, like the hybrid cloud and cloud infrastructure as a service or platform as a service, but both in their in-band traditional telemetry collection models, but also out-of-band collection models such as the ones that Koichiro was talking about through the BMC et cetera. So, this is a key enhancement that we believe that takes the Intel product line closer to what the service providers require for managing their end user experience. >> Awesome, well thanks so much for spending the time in this segment. We're going to take a quick break, we're going to come back and we're going to discuss more what's new with Gen 11 and iLO 6. You're watching "theCUBE," the leader in high tech enterprise coverage. We'll be right back. (light music) Welcome back. We're continuing the coverage of "theCUBE's" coverage of compute engineered for your hybrid world. I'm John Furrier, I'm joined by Chinmay Ashok who's from Intel and Koichiro Nakajima with HPE. We're going to dive deeper into transforming your compute management experience with 4th Gen Intel Xeon scalable processors and HP ProLiant Gen11. Okay, let's get into it. We want to talk about Gen11. What's new with Gen11? What's new with iLO 6? So, NexGen increases in performance capabilities. What's new, what's new at Gen11 and iLO 6 let's go. >> Yeah, iLO 6 accommodates a lot of new features and the latest, greatest technology advancements like a new generation CPUs, DDR5 memories, PCI Gen 5, GPGPUs, SmartNICs. There's a lot of great feature functions. So, it's an iLO, make sure that supports all the use cases that associate with those latest, greatest advancements. For instance, like you know, some of the higher thermal design point CPU SKUs that requires a liquid cooling. We all support those kind of things. And also iLO6 accommodates latest, greatest industry standard system management, standard specifications, for instance, like an DMTF, TLDN, DMTF, RDE, SPDM. And what are these means for the iLO6 and Gen11? iLO6 really offers the greatest manageability and monitoring user experiences as well as the greatest automation through the refresh APIs. >> Chinmay, what's your thoughts on the Gen11 and iLO6? You're at Intel, you're enabling all this innovation. >> Yeah. >> What's the new features? >> Yeah, thanks John. Yeah, so yeah, to add to what Koichiro said, I think with the introduction of Gen11, 4th Gen Intel Xeon scalable processor, we have all of these rich new feature sets, right? With the DDR5, PCI Gen5, liquid cooling, et cetera. And then all of these new accelerators for various specific workloads that customers can use using this processor. So, as we were discussing previously, what this brings is all of these different sources of telemetry, right? So, our sources of data that the system provider or the service provider then needs to utilize to manage the compute experience for their end user. And so, what's new from that perspective is Intel realized that these new different sources of telemetry and the new mechanisms by which the service provider has to extract this telemetry required us to fundamentally think about how we provide the telemetry experience to the service provider. And that meant extending our existing best-in-class, in-band telemetry capabilities that we have today already built into in market Intel processors. But now, extending that with the introduction of the PMT, the Platform Monitoring Technology, that allows us to expand on that in-band telemetry, but also include all of these new sources of telemetry data through all of these new accelerators through the new features like PCI Gen5, DDR5, et cetera, but also bring in that out-of-band telemetry management experience. And so, I think that's a key innovation here, helping prepare for the world that the cloud is enabling. >> It's interesting, you know, Koichiro you had mentioned on the previous segment, COVID-19, we all know the impact of how that changed, how IT at the managed, you know, all of a sudden remote work, right? So, as you have cloud go to hybrid, now we got the edge coming, we're talking about a distributed computing environment, we got telemetry, you got management. This is a huge shift and it's happening super fast. What's the Gen11 iLO6 mean for architects as they start to look at going beyond hybrid and going to the edge, you're going to need all this telemetry. What's the impact? Can you guys just riff and share your thoughts on what this means for that kind of NexGen cloud that we see coming on on which is essentially distributed computing. >> Yeah, that's a great topic to discuss. So, there's a couple of the things. Really, to make sure those remote environment and also the management distributed IT environments, the system management has to reach across the remote location, across the internet connections, and the connectivities. So, the system management protocol, for instance, like traditionally IPMI or SNMP, or those things, got to be modernized into more restful API and those modern integration friendly to the modern tool chains. So, we're investing on those like refresh APIs and also again, the security becomes paramount importance because those are exposed to the bad people to snoop and trying to do some bad thing like men in a middle attacks, things like that. So we really, you know, focus on the security side on the two aspects on the iLO6 and Gen11. One other thing is we continue our industry unique silicon root of trust technology. So, that one is fortunate platform making sure the platform firmware, only the authentic and legitimate image of the firmware can run on HP server. And when you check in, validating the firmware images, the root of the trust reside in the silicon. So, no one can change it. Even the bad people trying to change the root of trust, it's bond in the chips so you cannot really change. And that's why, even bad people trying to compromise, you know, install compromise the firmware image on the HPE servers, you cannot do that. Another thing is we're making a lot of enhancements to make sure security on board our HP server into your network or onto a services like a GreenLake. Give you a couple of example, for instance, like a IDevID, Initial Device ID. That one is conforming to IEEE 802.1AR and it's immutable so no one can change it. And by using the IDevID, you can really identify you are not onboarding a rogue server or unknown server, but the server that you you want to onboard, right? It's absolutely important. Another thing is like platform certificate. Platform certificate really is the measurement of the configuration. So again, this is a great feature that makes sure you receive a server from the factory and no one during the transportation touch the server and alter the configuration. >> Chinmay, what's your reaction to this new distributed NextGen cloud? You got data, security, edge, move the compute to the data, don't move the data around. These are big conversations. >> Yeah, great question, John. I think this is an important thing to consider for the end user, the service provider in all of these contexts, right? I think Koichiro mentioned some of these key elements that go into as we develop and design these new products. But for example, from a security perspective, we introduce the trust domain extensions, TDX feature, for confidential computing in Intel 4th Generation Xeon scalable processors. And that enables the isolation of user workloads in these cloud environments, et cetera. But again, going back to the point Koichiro was making where if you go to the edge, you go to the cloud and then have the edge connect to the cloud you have independent networks for system management, independent networks for user data, et cetera. So, you need the ability to create that isolation. All of this telemetry data that needs to be isolated from the user, but used by the service provider to provide the best experience. All of these are built on the foundations of technologies such as TDX, PMT, iLO6, et cetera. >> Great stuff, gentlemen. Well, we have a lot more to discuss on our next segment. We're going to take a break here before wrapping up. We'll be right back with more. You're watching "theCUBE," the leader in high tech coverage. (light music) Okay, welcome back here, on "theCUBE's" coverage of "Compute engineered for your hybrid world." I'm John Furrier, host of the Cube. We're wrapping up our discussion here on transforming compute management experience with 4th Gen Intel Xeon scalable processors and obviously HPE ProLiant Gen11. Gentlemen, welcome back. Let's get into the takeaways for this discussion. Obviously, systems management has been around for a while, but transforming that experience on the management side is super important as the environment just radically changing for the better. What are some of the key takeaways for the audience watching here that they should put into their kind of tickler file and/or put on their to-do list to keep an eye on? >> Yeah, so Gen11 and iLO6 offers the latest, greatest technologies with new generation CPUs, DDR5, PCI Gen5, and so on and on. There's a lot of things in there and also iLO6 is the most mature version of iLO and it offers the best manageability and security. On top of iLO, HP offers the best of read management options like HP OneView and Compute Ops Management. It's really a lot of the things that help user achieve a lot of the things regardless of the use case like edge computing, or distributed IT, or hybrid strategy and so on and on. And you could also have a great system management that you can unleash all the full potential of latest, greatest technology. >> Chinmay, what's your thoughts on the key takeaways? Obviously as the world's changing, more gen chips are coming out, specialized workloads, performance. I mean, I've never met anyone that says they want to run on slower infrastructure. I mean, come on, performance matters. >> Yes, no, it definitely, I think one of the key things I would say is yes, with Gen11 Intel for gen scalable we're introducing all of these technologies, but I think one of the key things that has grown over the last few years is the view of the system provider, the abstraction that's needed, right? Like the end user today is migrating a lot of what they're traditionally used to from a physical compute perspective to the cloud. Everything goes to the cloud and when that happens there's a lot of just the experience that the end user sees, but everything underneath is abstracted away and then managed by the system provider, right? So we at Intel, and of course, our partners at HP, we have spent a lot of time figuring out what are the best sets of features that provide that best system management experience that allow for that abstraction to work seamlessly without the end user noticing? And I think from that perspective, the 4th Gen Intel Xeon scalable processors is so far the best Intel product that we have introduced that is prepared for that type of abstraction. >> So, I'm going to put my customer hat on for a second. I'll ask you both. What's in it for me? I'm the customer. What's in it for me? What's the benefit to me? What does this all mean to me? What's my win? >> Yeah, I can start there. I think the key thing here is that when we create capabilities that allow you to build the best cloud, at the end of the day that efficiency, that performance, all of that translates to a better experience for the consumer, right? So, as the service provider is able to have all of these myriad capabilities to use and choose from and then manage the system experience, what that implies is that the end user sees a seamless experience as they go from one application to another as they go about their daily lives. >> Koichiro, what's your thoughts on what's in it for me? You guys got a lot of engineering going on in Gen11, every gen increase always is a step function and increase of value. What's in it for me? What do I care? What's in it for me? I'm the customer. >> Alright. Yeah, so I fully agree with Chinmay's point. You know, he lays out the all the good points, right? Again, you know what the Gen11 and iLO6 offer all the latest, greatest features and all the technology and advancements are packed in the Gen11 platform and iLO6 unleash all full potentials for those benefits. And things are really dynamic in today's world and IT system also going to be agile and the system management get really far, to the point like we never imagine what the system management can do in the past. For instance, the managing on-prem devices across multiple locations from a single point, like a single pane of glass on the cloud management system, management on the cloud, that's what really the compute office management that HP offers. It's all new and it's really help customers unleash full potential of the gear and their investment and provide the best TCO and ROIs, right? I'm very excited that all the things that all the teams have worked for the multiple years have finally come to their life and to the public. And I can't really wait to see our customers start putting their hands on and enjoy the benefit of the latest, greatest offerings. >> Yeah, 4th Gen Xeon, Gen11 ProLiant, I mean, all the things coming together, accelerators, more cores. You got data, you got compute, and you got now this idea of security, I mean, you got hitting all the points, data and security big features here, right? Data being computed in a way with Gen4 and Gen11. This is like the big theme, data security, kind of the the big part of the core here in this announcement, in this relationship. >> Absolutely. I believe, I think the key things as these new generations of processors enable is new types of compute which imply is more types of data, more types of and hence, with more types of data, more types of compute. You have more types of system management more differentiation that the service provider has to then deal with, the disaggregation that they have to deal with. So yes, absolutely this is, I think exciting times for end users, but also for new frontiers for service providers to go tackle. And we believe that the features that we're introducing with this CPU and this platform will enable them to do so. >> Well Chinmay thank you so much for sharing your Intel perspective, Koichiro with HPE. Congratulations on all that hard work and engineering coming together. Bearing fruit, as you said, Koichiro, this is an exciting time. And again, keep moving the needle. This is an important inflection point in the industry and now more than ever this compute is needed and this kind of specialization's all awesome. So, congratulations and participating in the "Transforming your compute management experience" segment. >> Thank you very much. >> Okay. I'm John Furrier with "theCUBE." You're watching the "Compute Engineered for your Hybrid World Series" sponsored by HP and Intel. Thanks for watching. (light music)

Published Date : Dec 27 2022

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Zeynep Ozdemir, Palo Alto Networks | Palo Alto Networks Ignite22


 

>> Announcer: TheCUBE presents Ignite22, brought to you by Palo Alto Networks. >> Hey, welcome back to Vegas. Great to have you. We're pleased that you're watching theCUBE. Lisa Martin and Dave Vellante. Day two of theCUBE's coverage of Palo Alto Ignite22 from the MGM Grand. Dave, we're going to be talking about data. >> You know I love data. >> I do know you love data. >> Survey data- >> There is a great new survey that Palo Alto Networks just published yesterday, "What's next in cyber?" We're going to be digging through it with their CMO. Who better to talk about data with than a CMO that has a PhD in machine learning? We're very pleased to welcome to the program, Zeynep Ozdemir, CMO of Palo Alto Networks. Great to have you. Thank you for joining us. >> It's a pleasure to be here. >> First, I got to ask you about your PhD. Your background as a CMO is so interesting and unique. Give me a little bit of a history on that. >> Oh, absolutely, yes. Yes, I admit that I'm a little bit of an untraditional marketing leader. I spent probably the first half of my career as a software engineer and a research scientist in the area of machine learning and speech signal processing, which is very uncommon, I admit that. Honestly, it has actually helped me immensely in my current role. I mean, you know, you've spoken to Lee Klarich, I think a little while ago. We have a very tight and close partnership with product and engineering teams at Palo Alto Networks. And, you know, cybersecurity is a very complex topic. And we're at a critical juncture right now where all of these new technologies, AI, machine learning, cloud computing, are going to really transform the industry. And I think that I'm very lucky, as somebody who's very technically competent in all of those areas, to partner with the best people and the leading company right now. So, I'm very happy that my technical background is actually helping in this journey. >> Dave: Oh, wait, aren't you like a molecular biologist, or something? >> A reformed molecular...yes. >> Yes. >> Okay. Whoa, okay. (group laughs) >> But >> Math guy over here. >> Yeah. You guys just, the story that I tease is... the amount of data in there is unbelievable. This has just started in August, so a few months ago. >> Zeynep: Yeah. >> Fresh data. You surveyed 1300 CXOs globally. >> Zeynep: That's right. >> Across industries and organizations are saying, you know, hybrid work and remote work became status quo like that. >> Yes. >> Couple years ago everyone shifted to multicloud and of course the cyber criminals are sophisticated, and they're motivated, and they're well funded. >> Zeynep: That's right. >> What are some of the things that you think that the survey really demonstrated that validate the direction that Palo Alto Networks is going in? >> That's right. That's right. So we do these surveys because first and foremost, we have to make sure we're aligned with our customers in terms of our product strategy and the direction. And we have to confirm and validate our very strong opinions about the future of the cybersecurity industry. So, but this time when we did this survey, we just saw some great insights, and we decided we want to share it with the broader industry because we obviously want to drive thought leadership and make sure everybody is in the same level field. Some interesting and significant results with this one. So, as you said, this was 1300 C level cybersecurity decision makers and executives across the world. So we had participants from Europe, from Japan, from Asia Pacific, Latin America, in addition to North America. So one of the most significant stats or data points that we've seen was the fact that out of everybody interviewed, 96% of participants had experienced one or more cybersecurity breaches in the past 12 months. That was more than what we expected, to be honest with you. And then 57% of them actually experienced three or more. So those stats are really worth sharing in terms of where the state of cybersecurity is. What also was personally interesting to me was 33% of them actually experienced an operational disruption as a result of a breach, which is a big number. It's one third of participants. So all of these were very interesting. We asked them more detailed questions around you know, how many...like obviously all of them are trying to respond to this situation. They're trying different technologies, different tools and it seems like they're in a point where they're almost have too many tools and technologies because, you know, when you have too many tools and technologies, there's the operational overhead of integrating them. It creates blind spots between them because those tools aren't really communicating with each other. So what we heard from the responders was that on average they were on like 32 tools, 22% was on 50 or more tools, which is crazy. But what the question we asked them was, you know, are you, are you looking to consolidate? Are you looking to go more tools or less tools? Like what are your thoughts on that? And a significant majority of them, like about 77% said they are actively trying to reduce the number of technologies that they're trying to use because they want to actually achieve better security outcomes. >> I wonder if you could comment on this. So early on in the pandemic, we have a partner, survey partner ETR, Enterprise Technology Research. And we saw a real shift of course, 'cause of hybrid work toward endpoint security, cloud security, they were rearchitecting their networks, a new focus on, you know, different thinking about network security and identity. >> Yeah. >> You play in all of those in partner for identity. >> Zeynep: Yeah. >> I almost, my question is, is was there kind of a knee jerk reaction to get point tools to plug some of those holes? >> Zeynep: Yes. >> And now they're...'cause we said at the time, this is a permanent shift in thinking. What we didn't think through it's coming to focus here at this conference is, okay, we did that, but now we created another problem. >> Zeynep: Yeah. Yeah. >> Now we're- >> Yes, yes. You're very right. I think, and it's very natural to do this, right? >> Sure. >> Every time a problem pops up, you want to fix it as quickly as possible. And you look... you survey who can help you with that. And then you kind of get going because cybersecurity is one of those areas where you can't really wait and do, you know, take time to fix those problems. So that happened a lot and it is happening. But what happened as a result of that. For example, I'll give you a data point from the actual survey that answers this very question. When we asked these executives what keeps them like up at night, like what's their biggest concern? A significant majority of them said, oh we're having difficulty with data management. And what that means is that all these tools that they've deployed, they're generating a lot of insights and data, but they're disconnected, right? So there is no one place where you can say, look at it holistically and come to conclusions very fast about how threat actors are moving in an organization. So that's a direct result of this proliferation of tools, if you will. And you're right. And it will...it's a natural thing to deploy products very quickly. But then you have to take a step back and say, how do I make this more effective? How do I bring things together, bring all my data together to be able to get to threats detect threats much faster? >> An unintended consequence of that quick fix. >> And become cyber resilient. We've been hearing a lot about cyber resiliency. >> Yes, yes. >> Recently and something that I was noting in the survey is only 25% of execs said, yeah, our cyber resilience and readiness is high. And you found that there was a lack of alignment between the boards and the executive levels. And we actually spoke with I think BJ yesterday on how are you guys and even some of your partners >> Yeah. >> How are you helping facilitate that alignment? We know security's always a board level- >> Zeynep: Yes. >> Conversation, but the lack of alignment was kind of surprising to me. >> Yeah. Well I think the good news is that I think we... cybersecurity is taking its place in board discussions more and more. Whether there's alignment or not, at least it's a topic, right? >> Yeah. That was also out of the survey that we saw. I think yes, we have a lot of, a big role to play in helping security executives communicate better with boards and c-level executives in their organizations. Because as we said, it's a very complex topic, and it has to be taken from two angles. When there's...it's a board level discussion. One, how are you reducing risk and making sure that you're resilient. Two, how do you think about return on investment and you know, what's the right level of investment and is that investment going to get us the return that we need? >> What do you think of this? So there's another interesting stat here. What keeps executives up at night? >> Mmhm. >> You mentioned difficulty of data management. Normally, the CISO response to what's your number one problem is lack of talent. >> Zeynep: Number three there, yes. Yeah. >> And it is maybe somewhat related to difficulty of data management, but maybe people have realized, you know what? I'm never going to solve this problem by throwing bodies at it. >> Yeah. >> I got to think of a better way to consolidate my data. Maybe partner with a company that can help me do that. And then the second one was scared of being left behind changes in the tech stack. So we're moving so fast to digitize. >> Zeynep: Yes. >> And security's still an afterthought. And so it's almost as though they're kind of rethinking the problems 'cause they know that they can't just solve the issue by throwing, you know, more hires at it 'cause they can't find the people. >> That is...you're absolutely spot on. The thing about cybersecurity skills gap, it's a reality. It's very real. It's a hard place to be. It's hard to ramp up sometimes. Also, there's a lot of turnover. But you're right in the sense that a lot of the manual work that is needed for cybersecurity, it's actually more sort of much easier to tackle with machines- >> Yeah. >> Than humans. It's a funny double click on the stat you just gave. In North America, the responders when we asked them like how they're coping with the skills shortage, they said we're automating more. So we're using more AI, we're using more process automation to make sure we do the heavy lifting with machines and then only present to the people what they're very good at, is making judgements, right? Very sort of like last minute judgment calls. In the other parts of the world, the top answer to that question is how you're tackling cybersecurity skill shortage was, we're actually trying to provide higher wages and better benefits to the existing p... so there's a little bit of a gap between the two. But I think, I think the world is moving towards the former, which is let's do as much as we can with AI and machines and automation in general and then let's make sure we're more in an automation assisted world versus a human first world. >> We also saw on the survey that ransomware was, you know, the big concern in the United States. Not as much, not that it's not a concern >> Lisa: Yeah. >> In other parts of the world. >> Zeynep: Yeah. >> But it wasn't number one. Why do you think that is? Is it 'cause maybe the US has more to lose? Is it, you know, more high profile or- >> Yeah. Look, I mean, yes you're right? So most responders said number one is ransomware. That's my biggest concern going into 2023. And it was for JAPAC and I think EMEA, Europe, it was supply chain attacks. >> Dave: Right. >> So I think US has been hit hard by ransomware in the past year. I think it's like fresh memory and that's why it rose to the top in various verticals. So I'm not surprised with that outcome. I think supply chain is more of a... we've, you know, we've been hit hard globally by that, and it's very new. >> Lisa: Yeah. >> So I think a lot of the European and JAPAC responders are responding to it from a perspective of, this is a problem I still don't know how to solve. You know, like, and it's like I need the right infrastructure to...and I need the right visibility into my software supply chain. It's very top of mind. So those were some of the differences, but you're right. That was a very interesting regional distinction as well. >> How do you take this data and then bring it back to your customers to kind of close the loop? Do you do that? Do you say, okay, hey, we're going to share this data with you, get realtime feedback- >> Zeynep: Yes. >> Dave: We often like to do that with data- >> Zeynep: Absolutely. >> Say okay...'cause you know, when you do a survey like this, you're like, oh, I wish we asked A, B and C. But it gives you, informs you as to where to double click. Is there a system to do that? Or process to do that? >> Yes. Our hope and goal is to do this every year and see how things are changing and then do some historical analysis as to how things are changing as well. But as I said in the very beginning, I think we take this and we say, okay, there's a lot of alignment in these areas, especially for us for our products to see if where our products are deployed to see if some of those numbers vary, you know, per product. Because we address as a company, we address a lot of these concerns. So then it's very encouraging to say, okay, with certain customers, we're going to go, we're going to have develop certain metrics and we're going to measure how much of a difference we're making with these stats. >> Well, I mean, if you can show that you're consolidating- >> Yeah. >> You know, the number of tools and show the business impact- >> Right. >> Exactly. >> Home run. >> Exactly. Yes- >> Speaking of business outcomes, you know, we have so many conversations around everything needs to be outcome-based. Can security become an enabler of business outcomes for organizations? >> Absolutely. Security has to be an enabler. So it's, you know, back to the security lagging behind the evolution of the digital transformation, I don't think it's possible to move fast without having security move fast with digital transformation. I don't think anybody would raise their hands and say, I'm just going to have the most creative, most interesting digital transformation journey. But, you know, security is say, so I think we're past that point where I think generally people do agree that security has to run as fast as digital transformation and really enable those business outcomes that everybody's proud of. So Yes. Yes it is. >> So...sorry. So chicken and egg, digital transformation, cyber transformation. >> Zeynep: Yes. >> Lisa: How are they related? Is one digital leading? >> They are two halves of the perfect solution. They have to coexist because otherwise if you're taking a lot of risk with your digital transformation, is it really worth going through a digital transformation? >> Yeah. >> Yeah. >> So there's a board over here. I'm looking at it and it started out blank. >> Yes. >> And it's what's next in cyber and basically- >> That's this. Yes. >> People can come through and they can write down, and there's some great stuff in there: 5G, cloud native, some technical stuff, automated meantime to repair or to remediation. >> Yeah. >> Somebody wrote AWS. The AWS guys left their mark, which is kind of cool. >> Zeynep: That's great. >> And so I'm wondering, so we always talk about... we just talked about earlier that cyber is a board...has become a board level you know, issue. I think even go back mid last decade, it was really starting to gain strength. What I'm looking for, and I dunno if there's anything in here that suggests this is going beyond the board. So it becomes this top down thing, not just the the SOC, not just the, you know, IT, not just the board. Now it's top down maybe it's bottom up, middle out. The awareness across the organization. >> Zeynep: Absolutely. >> And that's something that I think is that is a next big thing in cyber. I believe it's coming. >> Cybersecurity awareness is a topic. And you know, there are companies who do that, who actually educate just all of us who work for corporations on the best way to tackle, especially when the human is the source and the reason knowingly or unknowing, mostly unknowingly of cyber attacks. Their education and awareness is critical in preventing a lot of this...before our, you know tools even get in. So I agree with you that there is a cybersecurity awareness as a topic is going to be very, very popular in the future. >> Lena Smart is the CISO of MongoDB does... I forget what she calls it, but she basically takes the top security people in the company like the super geeks and puts 'em with those that know nothing about security, and they start having conversations. >> Zeynep: Yeah. >> And then so they can sort of be empathic to each other's point of view. >> Zeynep: Absolutely. >> And that's how she gets the organization to become cyber aware. >> Yes. >> It's brilliant. >> It is. >> So simple. >> Exactly. Well that's the beauty in it is the simplicity. >> Yeah. And there are programs just to put a plug. There are programs where you can simulate, for example, phishing attacks with your, you know employee base and your workforce. And then teach them at that moment when they fall for it, you know, what they should have done. >> I think I can make a family game night. >> Yeah. Yeah. (group laughs) >> I'm serious. That's a good little exercise For everybody. >> Yes. Yeah, exactly. >> It really is. Especially as the sophistication and smishing gets more and more common these days. Where can folks go to get their hands on this juicy survey that we just unpacked? >> We have it online, so if you go to the Palo Alto Networks website, there's a big link to the survey from there. So for sure there's a summary version that you can come in and you can have access to all the stats. >> Excellent. Zeynep, it's been such a pleasure having you on the program dissecting what's keeping CXOs up at night, what Palo Alto Networks is doing to really help organizations digitally transform cyber transformation and achieve that nirvana of cyber resilience. We appreciate so much your insights. >> Thanks very much. It's been the pleasure. >> Dave: Good to have you. >> Thank you >> Zeynep Ozdemir and Dave Vellante. I'm Lisa Martin. You're watching theCUBE, the leader in live and emerging tech coverage. (upbeat music)

Published Date : Dec 14 2022

SUMMARY :

brought to you by Palo Alto Networks. of Palo Alto Ignite22 from the MGM Grand. We're going to be digging First, I got to ask you about your PhD. in all of those areas, to (group laughs) You guys just, the You surveyed 1300 CXOs globally. organizations are saying, you know, and of course the cyber and technologies because, you know, So early on in the in partner for identity. it's coming to focus here Zeynep: Yeah. natural to do this, right? of those areas where you can't of that quick fix. And become cyber resilient. of alignment between the boards Conversation, but the lack news is that I think we... and it has to be taken from two angles. What do you think of this? to what's your number one problem is lack Zeynep: Number three there, yes. I'm never going to solve this I got to think of a better of rethinking the to tackle with machines- on the stat you just gave. that ransomware was, you know, Is it 'cause maybe the And it was for JAPAC and we've, you know, we've been are responding to it as to where to double click. But as I said in the very Yes- outcomes, you know, So it's, you know, back So chicken and egg, of the perfect solution. So there's a board over here. Yes. automated meantime to mark, which is kind of cool. not just the, you know, And that's something that I think is So I agree with you that Lena Smart is the to each other's point of view. to become cyber aware. in it is the simplicity. And there are programs just to put a plug. Yeah. That's a good little exercise Yes. Especially as the sophistication and you can have access to all the stats. a pleasure having you It's been the pleasure. the leader in live and

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Asvin Ramesh, HashiCorp | Palo Alto Networks Ignite22


 

(upbeat music) >> Announcer: TheCUBE presents Ignite '22 brought to you by Palo Alto Networks. >> Welcome back to Las Vegas guys and girls. Lisa Martin here with Dave Vellante. This is day one of the cube's two day coverage of Palo Alto Networks Ignite at the MGM Grand. Dave, we've been having some great conversations today, we have a great two day lineup execs from Palo Alto, it's partner network, customers, et cetera. Going to be talking about infrastructure as code. We talk about that a lot, how Palo is partnering with its partner ecosystem to really help customers deliver security across the organization. >> We do a predictions post every year. Hopefully you can hear me. So we do this predictions post every year. I've done it for a number of years, and I want to say it was either 2018 or 2019, we predicted that HashiCorp was one of these companies to watch. And then last August, on August 9th, we had supercloud event in Palo Alto. We had David McJannet in, who is the CEO of HashiCorp. And we really see Hashi as a key player in terms of affecting multicloud consistency. Sometimes we call it supercloud, you building on top of the hyperscale cloud. So super excited to have HashiCorp on. >> Really an important conversation. We've got an alumni back with us. Asvin Ramesh is here the senior director of Alliances at HashiCorp. Welcome back. >> Yeah, thank you. Good to be back. >> Great to have you. Talk to us a little bit about what's going on at HashiCorp, your relationship with Palo Alto Networks, and what's in it for customers. >> Yeah, no, no, great question. So, Palo Alto has been a fantastic partner of ours for many years now. We started way back in 2018, 2019 focusing on the basics, putting integrations in place that customers can be using together. And so it's been a great journey. Both are very synergistic. Palo Alto is focused on multicloud, so are we, we focus on cloud infrastructure automation, and ensuring that customers are able to bring in agility, reliability, security, and be able to deliver to their business. And then Palo Alto brings in great security components to that multicloud story. So it's a great story altogether. >> Some of the challenges that organizations have been facing. Palo Alto just released a survey, I think this morning if I can find it here what's next in cyber organizations facing massive headwinds ransomware becoming a household word, business email compromise being a challenge. But also in the last couple of years the massive shift to multi-club or organizations are living an operating need to do so securely. It's no longer nice to have anymore. It's absolutely table stakes for survival, and being able to thrive and grow for any business. >> Yeah, no, I think it's almost a sort of rethinking of how you would build your infrastructure up. So the more times you do it right the better you are built to scale. That's been one of the bedrocks of how we've been working with Palo Alto, which is rethinking how should IT be building their infrastructure in a multicloud world. And I think the market timing is right for both of us in terms of the progress that we've been able to make. >> So, I mean Terraform has really become sort of a key ingredient to the cloud operating model, especially across clouds. Kind of describe how partners, and customers are are implementing that cross-cloud capability. What's that journey look like? What's the level of maturity today? >> Yeah, great question, Dave. So we sort of see customers in three buckets. The first bucket is when customers are in the initial phases of their cloud journey. So they have disparate teams in their business units try out clouds themselves. Typically there is some event that occurs either some sort of a security scare or a a cloud cost event that triggers a rethinking of how they should be thinking about this in a scalable way. So that leads to where the cloud operating model which is a framework that HashiCorp has. And we use that successfully with customers to talk them through how they should be thinking about their process, about how they should be standardizing how people operate, and then the products they should be including, but then you come to that stage, and you start to think about a centralized platform team that is putting in golden workflows, that is putting in as a service mindset for their business units thinking through policies at a corporate level. And then that is a second stage. And then, but this is also in some customers more around public clouds. But then the third stage that we see is when they start embracing their private cloud or the on-prem data center, and have the same principles address across both public clouds, and the on-prem data center, and then Terraform scale for any infrastructure. So, once you start to put these practices in place not just from a technology standpoint, but from a process, and product standpoint, you're easily able to scale with that central platform organization. >> So, it's all about that consistency across your estate irrespective of whether it's on-prem in AWS, Azure, Google, the Edge, maybe. I mean, that's starting, right? >> Asvin: Yes. >> And so when you talk about the... Break it down a little bit process and product, where do you and Palo Alto sort of partner and add value? What's that experience like? >> Yeah, so, I think as I mentioned earlier the bedrock is having ways in which customers are able to use our products together, right? And then being able to evangelize the usage of that product. So one example I'll give you is with Prisma Cloud, and Terraform Cloud to your point about Terraform earlier. So customers can be using Prisma Cloud with Terraform Cloud in a way that you can get security context telemetry during an infrastructure run, and then use policies that you have in Prisma Cloud to be able to get or run or to implement or run or make sure essentially it is adhering to your security policy or any other audits that you want to create or any other cost that you want to be able to control. >> Where are your customer conversations these days? We know that security is a board level conversation. Interestingly, in that same survey that Palo Alto released this morning that I mentioned they found that there's a big lack of alignment between the board and the C-suite staff, the executive suite in terms of security. Where are your conversations, and how are you maybe facilitating that alignment that needs to be there? Because security it's not a nice to have. >> Yeah, I think in our experience, the alignment is there. I think especially with the macro environment it's more about where where do you allocate those resources. I think those are conversations that we're just starting to see happen, but I think it's the natural progression of how the environment is moving, and maybe another quarter or two, I think we'll see greater alignment there. >> So, and I saw some data that said I guess it was a study you guys did 90% of customer say multicloud is working for them. That surprised me 'cause you hear all this negativity around multicloud, I've been kind of negative about multicloud to be honest. Like that's a symptom of MNA, and a or multi-vendor. But how do you interpret that? When they say multicloud is working? How so? >> Yeah, I think the maturity of customers are varied as I mentioned through the stages, right? So, there are customers who even in the initial phases of their journey where they have different business units using different clouds, and from a C standpoint that might still look like multicloud, right? Though the way we think about it is you should be really in stage two, and stage three to real leverage the real power of multicloud. But I think it's that initial hump that you need to go through, and being able to get oriented towards it, have the right set of skillsets, the thought process, the product, the process in place. And once you have that then you'll start reaping the benefits over a period of time, especially when some other environments events happen, and you're able to easily adjust to that because you're leveraging this multicloud environment, and you have a clear policy of where you'll use which cloud. >> So I interpreted that data as, okay, multicloud is working from the standpoint of we are multicloud, okay? So, and our business is working, but when I talk to customers, they want more to your point, they want that consistent experience. And so it's been by, to use somebody else's term, by default. Chuck Whitten I think came up with that term versus by design. And now I think they have an objective of, okay, let's make multicloud work even better. Maybe I can say that. And so what does that experience look like? That means a common experience all the way through my stack, my infrastructure stack, which is that's going to be interesting to see how that goes down 'cause you got three separate clouds, and are doing their own APIs. But certainly from a security standpoint, the PaaS layer, even as I go up the stack, how do you see that outcome, and say the next two to five years? >> Yeah, so, we go back to our customers, and they're very successful ones who've used the cloud operating model. And for us the cloud operating model for us includes four layers. So on the infrastructure layer, we have Terraform and Packer, on the security layer we have Vault and Boundary, on the networking layer we have Consul, and then on applications we have Nomad and Waypoint. But then you really look at, from a people process, and product standpoint, for people it's how do you standardize the workflows that they're able to use, right? So if you have a central platform team in place that is looking at common use cases that multiple business units are using. and then creates a golden workflow, for example, right? For these various business units to be able to use or creates what we call a system of record for cloud adoption it helps multiple business units then latch onto this work that this central platform team is doing. And they need to have a product mindset, right? So not like a project that you just start and end with. You have this continuous improvement mindset within that platform team. And they build these processes, they build these golden workflows, they build these policies in place, and then they offer that as a service to the business units to be able to use. So that increases the adoption of multicloud. And also more importantly, you can then allow that multicloud usage to be governed in the way that aligns with your overall corporate objectives. And obviously in self-interest, you'd use Terraform or Vault because you can then use it across multiple clouds. >> Well, let's say I buy into that. Okay, great. So I want that common experience 'cause so when you talk about infrastructure, take us through an example. So when I hear infrastructure, I say, okay if I'm using an S3 bucket over here an Azure blob over there, they got different APIs, they got different primitives. I want you to abstract that away. Is that what you do? >> Yeah, so I think we've seen different use cases being used across different clouds too. So I don't think it's sort of as simple as, hey, should I use this or that? It is ensuring that the common tool that you use to be able to leverage safer provisioning, right? Is Terraform. So the central team is then trained in not only just usage of Terraform open source, but their Terraform cloud, which is our managed service, and Terraform enterprise which is the self-managed, but on-prem product, it's them being qualified to be able to build these consistent workflows using whatever tool that they have or whatever skew that they have from Terraform. And then applying business logic on top of that to your point about, hey, we'd like to use AWS for these kind of workloads. We'd like to use GCP, for example, on data or use Microsoft Azure for some other type of- >> Collaboration >> Right? But the common tooling, right? Remains around the usage of Terraform, and they've trained their teams there's a standard workflow, there's standard process around it. >> Asvin, I was looking at that survey the HashiCorp state of cloud strategy survey, and it talked about skill shortages as being the number one barrier to multicloud. We talk about the cyber skills gap all the time. It's huge. It's obviously a huge issue. I saw some numbers just the other day that there's 26 million developers but there's less than 3 million cybersecurity professionals. How does HashiCorp and Palo Alto Networks, how do you help customers address that skills gap so that they that they can leverage multicloud as a driver of the business? >> Yeah, another great question. So I think I'd say in two or three different ways. One is be able to provide greater documentation for our customers to be able to self use the product so that with the existing people, for example, you build out a known example, right? You're trying to achieve this goal here is how you use our products together. And so they'll be able to self-service, right? So that's one. Second is obviously both of us have great services partners, so we are always working with these services partners to get their teams trained and scaled up around these skill gaps. And I think I'd say the third which is where we see a lot of adoption is around usage of the managed services that we have. If you take Palo Alto's example in this Palo Alto will speak better to it, but they have SOC services, right? That you can consume. So, they're performing that service for you. Similarly, on our side we have a HashiCorp Cloud Platform, HCP, where you can consume Vault as a service, you can consume Consul as a service. Terraform cloud is a managed service, so you don't need as many people to be able to run that service. And we abstract all the complexity associated with that by ourselves, right? So I'd say these are the three ways that we address it. >> So Zero Trust across big buzzword. We heard this in this morning keynotes, AWS is always saying, well, we'll talk about it too, but, okay, customers are starting to talk about Zero Trust. You talk to CISOs, they're like, yes, we're adopting this mentality of unless you're trusted, we don't trust you. So, okay, cool. So you think about the cloud you've got the shared responsibility model, and then you've got the application developers are being asked to do more, secure the code. You got the CISO now has to deal with not only the shared responsibility model, but shared responsibility models across clouds, and got to bring his or her security ethos to the app dev team, and then you got to audit kind of making sure they're like the last line of defense. So my question is when you think about code security and Zero Trust in that new environment the problem with a lot of the clouds is they don't make the CISOs life any easier. So I got to believe that your objective with Palo Alto is to actually make the organization's lives easier. So, how do you deal with all that complexity in specifically in a Zero Trust multicloud environment? >> Yeah, so I'll give you a specific example. So, on code to cloud security which is one of Palo Alto's sort of key focus area is that Prisma Cloud and Terraform Cloud example that I gave, right? Where you'd be able to use what we call run tasks essentially, web hook integrations to be able to get a run or provide some telemetry back to Prisma Cloud for customers to be able to make a decision. On the Zero Trust side, we partner both on the Prisma Cloud side, and the Cortex XSOAR side around our products of Vault and and Consul. So what Vault does is it allows you to control secrets, it allows you to store secrets. So a Prisma Cloud or a Cortex customer can be using secrets from Vault familiarly for that particular transaction or workflow itself, right? Rather than, and so it's based on identity, and not on the basis of just the secret sort of lying around. Same thing with console helps you with discovery, and management of services. So, Cortex and you can automate, a lot of this work can get automated using the product that I talked about from Zero Trust. I think the key thing for Zero Trust in our view is it is a end destination, right? So it'll take certain time, depends on the enterprise, depends on where things are. It's a question of specifically focusing on value that Palo Alto and HashiCorp's products bring to solve specific use cases within that Zero Trust bucket, and solve one problem at a time rather than try to say that, hey, only Palo Alto, and only HashiCorp or whatever will solve everything in Zero Trust, right? Because that is not going to be- >> And to your point, it's never going to end, right? I mean you're talk about Cortex bringing a lot of automation. You guys bring a lot of automation now Palo Alto just bought Cider Security. Now we're getting into supply chain. I mean it going to hit it at the edge and IoT, the people don't want another IoT stove pipe. >> Lisa: No. >> Right? They want that to be part of the whole picture. So, you're never done. >> Yeah, no, but it is this continuous journey, right? And again, different companies are different parts of that journey, and then you go and rinse and repeat, you maybe acquire another company, and then they have a different maturity, so you get them on board on this. And so we see this as a multi-generational shift as Dave like to call it. And we're happy to be in the middle of it with Palo Alto Networks. >> It's definitely a multi-generational shift. Asvin, it's been great having you back on theCUBE. Thank you for giving us the update on what Hashi and Palo Alto are doing, the value in it for customers, the cloud operating model. And we should mention that HashiCorp yesterday just won a Technology Partner of the Year award. Congratulations. Yes. >> We're very, very thrilled with the recognition from Palo Alto Networks for the Technology Partner of the Year. >> Congrats. >> Thank you Keep up the great partnership. Thank you so much. We appreciate your insights. >> Thank you so much. >> For our guest, and for Dave Vellante, I'm Lisa Martin, live in Las Vegas. You watching theCUBE, the leader in live enterprise and emerging tech coverage. (upbeat music)

Published Date : Dec 14 2022

SUMMARY :

brought to you by Palo Alto Networks. This is day one of the So super excited to have HashiCorp on. the senior director of Good to be back. Great to have you. and be able to deliver to their business. the massive shift to multi-club So the more times you do it right sort of a key ingredient to So that leads to where So, it's all about that And so when you talk about the... and Terraform Cloud to your that needs to be there? of how the environment is moving, So, and I saw some data that said that you need to go through, and say the next two to five years? So that increases the Is that what you do? It is ensuring that the common tool But the common tooling, right? as a driver of the business? for our customers to be and got to bring his or her security ethos and not on the basis of just the secret And to your point, it's be part of the whole picture. and then you go and rinse and repeat, Partner of the Year award. for the Technology Partner of the Year. Thank you so much. the leader in live enterprise

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Whit Crump, AWS Marketplace | Palo Alto Networks Ignite22


 

>>The Cube presents Ignite 22, brought to you by Palo Alto Networks. >>Hey guys, welcome back to the Cube, the leader in live enterprise and emerging tech coverage. We are live in Las Vegas at MGM Grand Hotel, Lisa Martin with Dave Valante, covering our first time covering Palo Alto Ignite. 22 in person. Dave, we've had some great conversations so far. We've got two days of wall to wall coverage. We're gonna be talking with Palo Alto execs, leaders, customers, partners, and we're gonna be talking about the partner ecosystem >>Next. Wow. Super important. You know, it's funny you talk about for a minute, you didn't know where we were. I, I came to Vegas in May. I feel like I never left two weeks ago reinvent, which was I, I thought the most awesome reinvent ever. And it was really all about the ecosystem and the marketplace. So super excited to have that >>Conversation. Yeah, we've got Wet Whit Krump joining us, director of America's business development worldwide channels and customer programs at AWS marketplace. Wet, welcome to the Cube. Great to have >>You. Thanks for having me. Give >>Us a, you got a big title there. Give us a little bit of flavor of your scope of work at aws. >>Yeah, sure. So I, I've been with the marketplace team now almost eight years and originally founded our channel programs. And my scope has expanded to not just cover channels, but all things related to customers. So if you think about marketplace having sort of two sides, one being very focused on the isv, I tend to manage all things related to our in customer and our, our channel partners. >>What are some of the feedback that you're getting from customers and channel partners as the marketplace has has evolved so much? >>Yeah. You know, it's, it's, it's been interesting to watch over the course of the years, getting to see it start its infancy and grow up. One of the things that we hear often from customers and from our channel partners, and maybe not so directly, is it's not about finding the things they necessarily want to buy, although that's important, but it's the actual act of how they're able to purchase things and making that a much more streamlined process, especially in large enterprises where there's a lot of complexity. We wanna make that a lot simple, simpler for our customers. >>I mean, vendor management is such a hassle, right? But, so when I come into the marketplace, it's all there. I gotta console, it's integrated, I choose what I want. The billing is simplified. How has that capability evolved since the time that you've been at aws and where do you, where do you want to take it? >>Yeah, so when we, we first started Marketplace, it was really a pay as you go model customer come, they buy whatever, you know, whatever the, the whatever the solution was. And then it was, you know, charged by the hour and then the year. And one of the things that we discovered through customer and partner feedback was especially when they're dealing with large enterprise purchases, you know, they want to be able to instantiate those custom price and terms, you know, into that contract while enjoying the benefits of, of marketplace. And that's been, I think the biggest evolution started in 2017 with private offers, 2018 with consulting partner private offers. And then we've added things on over time to streamline procurement for, for >>Customers. So one of the hottest topics right now, everybody wants to talk about the macro and the headwinds and everything else, but when you talk to customers like, look, I gotta do more with less, less, that's the big theme. Yeah. And, and I wanna optimize my spend. Cloud allows me to do that because I can dial down, I can push storage to, to lower tiers. There's a lot of different things that I can do. Yeah. What are the techniques that people are using in the ecosystem Yeah. To bring in the partner cost optimization. Yeah. >>And so one of the key things that, that partners are, are, are doing for customers, they act as that trusted advisor. And, you know, when using marketplace either directly or through a partner, you know, customers are able to really save money through a licensing flexibility. They're also able to streamline their procurement. And then if there's an at-risk spin situation, they're able to, to manage that at-risk spend by combining marketplace and AWS spin into into one, you know, basically draws down their commitments to, to the company. >>And we talk about ask at-risk spend, you might talk about user or lose IT type of spend, right? Yeah. And so you, you increase the optionality in terms of where you can get value from your cloud spend. That's >>All right. Customers are thinking about their, their IT spend more strategically now more than ever. And so they're not just thinking about how do I buy infrastructure here and then software here, data services, they wanna combine this into one place. It's a lot less to keep up with a lot, a lot less overhead for them. But also just the simplification that you alluded to earlier around, you know, all the billing and vendor management is, and now in one, one streamlined, one streamlined process. Talk >>About that as a facilitator of organizations being able to reduce their risk profile. >>Yeah, so, you know, one of the things that, that came out earlier this year with Forrester was a to were total economic impact studies for both an ISV and for the end customer. But there was also a thought leadership study done where they surveyed over 700 customers worldwide to sort of get their thoughts on procurement and risk profile management. And, and one of the things that was really, you know, really surprising was is was that, you know, I guess it was like over 78% of of respondents DEF stated that they didn't feel like their, their companies had a really well-defined governance model and that over half of software and data purchases actually went outside of procurement. And so the companies aren't really able to, don't, they don't really have eyes on all of this spin and it's substantial >>And that's a, a huge risk for the organization. >>Yeah. Huge risk for the organization. And, and you know, half of the respondents stated outright that like they viewed marketplaces a way for them to reduce their risk profile because they, they were able to have a better governance model around that. >>So what's the business case can take us through that. How, how should a customer think about that? So, okay, I get that the procurement department likes it and the CFO probably likes it, but how, what, what's the dynamic around the business? So if I'm a, let's say I'm, I'm a bus, I'm a business person, I'm a, and running the process, I got my little, I get my procurement reach around. Yeah. What does the data suggest that what's in it from me, right? From a company wide standpoint, you know, what are the, maybe the Forester guys address this. So yeah, that overall business case I think is important. >>Yeah, I think, I think one of the big headlines for the end customer is because of license flexibility is that is is about a 10% cost savings in, in license cost. They're able to right size their purchases to buy the things they actually need. They're not gonna have these big overarching ELAs. There's gonna be a lot of other things in there that, that they don't, they don't really aren't gonna really directly use. You're talking about shelfware, you know, that sort of the classic term buy something, it never gets used, you know, also from just a, a getting things done perspective, big piece of feedback from customers is the contracting process takes a long time. It takes several months, especially for a large purchase. And a lot of those discussions are very repetitive. You know, you're talking about the same things over and over again. And we actually built a feature called standardized contract where we talked to a number of customers and ISVs distilled a contract down into a, a largely a set of terms that both sides already agreed to. And it cuts that, that contract time down by 90%. So if you're a legal team in a company, there's only so many of you and you have a lot of things to get done. If you can shave 90% off your time, that that's, that's now you can now work on a lot of other things for the, the corporation. Right. >>A lot of business impact there. You think faster time to value, faster time to market workforce optimization. >>Yeah. Yeah. I mean, it, it, you know, from an ISV standpoint, the measurement is they're, they're able to close deals about 40% faster, which is great for the isv. I mean obviously they love that. But if you're a customer, you're actually getting the innovative technologies you need 40% faster. So you can actually do the work you want to take it to your customers and drive the business. >>You guys recently launched, what is it, vendor Insights? Yeah. Talk a little bit about that, the value. What are some of the things that you're seeing with that? >>Yeah, so that goes into the, the onboarding value add of marketplaces. The number of things that go into, to cutting that time according to Forrester by 75%. But Vendor Insights was based on a key piece, offa impact from customers. So, you know, marketplace is used for, one of the reasons is discoverability by customers, Hey, what is the broader landscape? Look for example of security or storage partners, you know, trying to, trying to understand what is even available. And then the double click is, alright, well how does that company, or how does that vendor fit into my risk profile? You know, understanding what their compliance metrics are, things of that nature. And so historically they would have to, a customer would've to go to an ISV and say, all right, I want you to fill out this form, you know that my questionnaire. And so they would trade this back and forth as they have questions. Now with vendor insights, a customer can actually subscribe to this and they're able to actually see the risk profile of that vendor from the inside out, you know, from the inside of their SaaS application, what does it look like on a real time basis? And they can go back and look at that whenever they want. And you know, the, the, the feedback since the launch has been fantastic. And that, and I think that helps us double down on the already the, the onboarding benefits that we are providing customers. >>This, this, I wanna come back to this idea of cost optimization and, and try to tie it into predictability. You know, a lot of people, you know, complain, oh, I got surprised at the end of the month. So if I understand it wit by, by leveraging the marketplace and the breadth that you have in the marketplace, I can say, okay, look, I'm gonna spend X amount on tech. Yeah. And, and this approach allows me to say, all right, because right now procurement or historically procurement's been a bunch of stove pipes, I can't take from here and easily put it over there. Right. You're saying that this not only addresses the sort of cost optimization, does it also address the predictability challenge? >>Yeah, and I, I think another way to describe that is, is around cost controls. And you know, just from a reporting perspective, you know, we, we have what are called cost utilization reports or curve files. And we provide those to customers anytime they want and they can load those into Tableau, use whatever analysis tools that they want to be able to use. And so, and then you can actually tag usage in those reports. And what we're really talking about is helping customers adopt thin op practices. So, you know, develop directly for the cloud customers are able to understand, okay, who's using what, when and where. So everyone's informed that creates a really collaborative environment. It also holds people accountable for their spin. So that, you know, again, talking about shelfware, we bought things we're not gonna use or we're overusing people are using software that they probably don't really need to. And so that's, that adds to that predictable is everyone has great visibility into what's happening. And there's >>Another, I mean, of course saving money is, is, is in vogue right now because you know, the headwinds and the economics, et cetera. But there's also another side of the equation, which is, I mean, I see this a lot. You know, the CFO says financial people, why is our cloud bill so high? Well it's because we're actually driving all this revenue. And so, you know, you've seen it so many so often in companies, you know, the, the spreadsheet analysis says, oh, cut that. Well, what happens to revenue if you cut that? Right? Yeah. So with that visibility, the answer may be, well actually if we double down on that, yeah, we're actually gonna make more money cuz we actually have a margin on this and it's, it's got operating leverage. So if we double that, you know, we could, so that kind of cross organization communication to make better decisions, I think is another key factor. Yeah. >>Huge impact there. Talk ultimately about how the buyer's journey seems to have been really transformed >>The >>Correct. Right? So if you're, if you're a buyer, you know, initially to your point is, you know, I'm just looking for a point solution, right? And then you move on to the next one and the next one. And now, you know, working with our teams and using the platform, you know, and frankly customers are thinking more strategically about their IT spend holistically. The conversations that we're having with us is, it's not about how do I find the solution today, but here's my forward looking software spend, or I'm going through a migration, I wanna rationalize the software portfolio I have today as I'm gonna lift and shift it to aws. You know, what is going to make the trip? What are we gonna discard entirely because it's not really optimized for the cloud. Or there's that shelf wheel component, which is, hey, you know, maybe 15 to 25% of my portfolio, it's just not even getting utilized. And that, and that's a sunk cost to your point, which is, you know, that's, that's money I could be using on something that really impacts the bottom line in various areas of the business. Right. >>What would you say is the number one request you get or feedback you get from the end customers? And how is that different from what you hear from the channel partners? How aligned or Yeah. Are those >>Vectors? I would say from a customer perspective, one of the key things I hear about is around visibility of spin, right? And I was just talking about these reports and you know, using cost optimization tools, being able to use features like identity and access management, managing entitlements, private marketplaces. Basically them being able to have a stronger governance model in the cloud. For one thing, it's, it's, you know, keeping everybody on track like some of the points I was talking about earlier, but also cost, cost optimization around, you know, limiting vendor sprawl. Are we actually really using all the things that we need? And then from a channel partner perspective, you know, some of the things I talked about earlier about that 40% faster sales cycle, you know, that that TEI or the total economic impact study that was done by Forrester was, was built for the isv. >>But if you're a channel partner sitting between the customer and the isv, you kind of get to, you get a little bit of the best of both worlds, right? You're acting as that, you're acting as that that advisor. And so if you're a channel partner, the procurement streamlining is a huge benefit because the, you know, like you said, saving money is in vogue right now. You're trying to do more with less. So if you're thinking about 20, 27% faster win rates, 40% faster time to close, and you're the customer who's trying to impact the bottom line by, by innovating more, more quickly, those two pieces of feedback are really coming together and meeting in, in the middle >>Throughout 2021, or sorry, 2022, our survey partner, etr Enterprise Technology Research has asked their panel a question is what's your strategy for, you know, doing more with less? By far the number one response has been consolidating redundant vendors. Yes. And then optimizing cloud was, you know, second, but, but way, way lower than that. The number from last survey went from 34%. It's now up to 44% in the January survey, which is in the field, which they gave me a glimpse to last night. So you're seeing dramatic uptick Yeah. In that point. Yeah. And then you guys are helping, >>We, we definitely are. I mean, it, there's the reporting piece so they have a better visibility of what they're doing. And then you think about a, a feature like private marketplace and manage entitlements. So private marketplace enables a customer to create their own private marketplace as the name states where they can limit access to it for certain types of software to the actual in customer who needs to use that software. And so, you know, not everybody needs a license to software X, right? And so that helps with the sprawl comment to your point, that's, that's on the increase, right? Am I actually spending money on things that we need to use? >>But also on the consolidation front, you, we, we talked with nikesh an hour or so ago, he was mentioning on stage, if you, if you just think of this number of security tools or cybersecurity tools that an organization has on its network, 30 to 50. And we were talking about, well, how does Palo Alto Networks what's realistic in terms of consolidation? But it sounds like what you're doing in the marketplace is giving organizations the visibility, correct, for sure. Into what they're running, usage spend, et cetera, to help facilitate ultimately at some point facilitate a strategic consolidation. >>It's, that's exactly right. And if you, you think about cost optimization, our procurement features, you know, the, the practice that we're trying to help customers around, around finops, it's all about helping customers build a, a modern procurement practice and supply chain. And so that helps with, with that point exactly. The keynotes >>Point. Exactly. So last question for you. What, what's next? What can we expect? >>Oh, so what's next for me is, you know, I, I really want to, you know, my channel business for example, you know, I want to think about enabling new types of partners. So if we've worked really heavily with resellers, we worked very heavily with Palo Alto on the reseller community, how are we bringing in more services partners of various types? You know, the gsi, the distributors, cloud service providers, managed security service providers was in a keynote yesterday listening to Palo Alto talk about their five routes to market. And, you know, they had these bubbles. And so I was like, gosh, that's exactly how I'm thinking about the business is how am I expanding my own footprint to customers that have deeper, I mean, excuse me, to partners that have deeper levels of cloud knowledge, can be more of that advisor, help customers really understand how to maximize their business on aws. And, and you know, my job is to really help facilitate that, that innovative technology through those partners. >>So sounds like powerful force, that ecosystem. Exactly. Great alignment. AWS and Palo Alto, thank you so much for joining us with, we >>Appreciate, thanks for having >>With what's going on at aws, the partner network, the mp, and all that good stuff. That's really the value in it for customers, ISVs and channel partners. I like. We appreciate your insights. >>Thank you. Thanks for having me. Thank you. >>Our guests and Dave Valante. I'm Lisa Martin. You're watching the Cube Lee Leer in live enterprise and emerging tech coverage.

Published Date : Dec 13 2022

SUMMARY :

The Cube presents Ignite 22, brought to you by Palo Alto the partner ecosystem You know, it's funny you talk about for a minute, you didn't know where we were. Great to have Give Us a, you got a big title there. So if you think about marketplace having sort of two sides, One of the things that we hear often from customers and from since the time that you've been at aws and where do you, where do you want to take it? And then it was, you know, charged by the hour and then the year. but when you talk to customers like, look, I gotta do more with less, less, that's the big theme. partner, you know, customers are able to really save money through a licensing flexibility. And we talk about ask at-risk spend, you might talk about user or lose IT type of spend, right? But also just the simplification that you alluded to earlier around, Yeah, so, you know, one of the things that, that came out earlier this year with Forrester And, and you know, half of the respondents stated outright that like From a company wide standpoint, you know, what are the, maybe the Forester guys address this. You're talking about shelfware, you know, that sort of the classic term buy something, it never gets used, You think faster time to value, faster time to market workforce optimization. So you can actually do the work you want to take it to your customers and drive the business. What are some of the things that you're seeing with that? the inside out, you know, from the inside of their SaaS application, what does it look like on a real time basis? You know, a lot of people, you know, complain, oh, I got surprised at the end of the month. So, you know, develop directly for the cloud customers are able to understand, And so, you know, Huge impact there. And now, you know, working with our teams and using the platform, you know, And how is that different from what you hear from the channel partners? And I was just talking about these reports and you know, using cost optimization a huge benefit because the, you know, like you said, saving money is in vogue right now. And then you guys are helping, And so, you know, not everybody needs a license to software And we were talking about, well, how does Palo Alto Networks what's our procurement features, you know, the, the practice that we're trying to help customers around, So last question for you. Oh, so what's next for me is, you know, I, I really want thank you so much for joining us with, we That's really the value in it for customers, ISVs and channel partners. Thanks for having me. You're watching the Cube Lee Leer in

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Michael Wasielewski & Anne Saunders, Capgemini | AWS re:Invent 2022


 

(light music) (airy white noise rumbling) >> Hey everyone, welcome back to Las Vegas. It's theCUBE. We're here, day four of our coverage of AWS re:Invent 22. There's been about, we've heard, north of 55,000 folks here in person. We're seeing only a fraction of that but it's packed in the expo center. We're at the Venetian Expo, Lisa Martin, Dave Vellante. Dave, we've had such great conversations as we always do on theCUBE. With the AWS ecosystem, we're going to be talking with another partner on that ecosystem and what they're doing to innovate together next. >> Well, we know security is the number one topic on IT practitioners, mine, CIOs, CISOs. We also know that they don't have the bench strength, that's why they look to manage service providers, manage service security providers. It's a growing topic, we've talked about it. We talked about it at re:Inforce earlier this year. I think it was July, actually, and August, believe it or not, not everybody was at the Cape. It was pretty well attended conference and that's their security focus conference, exclusive on security. But there's a lot of security here too. >> Lot of security, we're going to be talking about that next. We have two guests from Capgemini joining us. Mike Wasielewski, the head of cloud security, and NextGen secure architectures, welcome Mike. Anne Saunders also joins us, the Director of Cybersecurity Technology Partnerships at Capgemini, welcome Anne. >> Thank you. >> Dave: Hey guys. >> So, day four of the show, how you feeling? >> Anne: Pretty good. >> Mike: It's a long show. >> It is a long, and it's still jamming in here. Normally on the last day, it dwindles down. Not here. >> No, the foot traffic around the booth and around the totality of this expo floor has been amazing, I think. >> It really has. Anne, I want to start with you. Capgemini making some moves in the waves in the cloud and cloud security spaces. Talk to us about what Cap's got going on there. >> Well, we actually have a variety of things going on. Very much partner driven. The SOC Essentials offering that Mike's going to talk about shortly is the kind of the starter offer where we're going to build from and build out from. SOC Essentials is definitely critical for establishing that foundation. A lot of good stuff coming along with partners. Since I manage the partners, I'm kind of keen on who we get involved with and how we work with them to build out value and focus on our overall cloud security strategy. Mike, you want to talk about SOC Essentials? >> Yeah, well, no, I mean, I think at Capgemini, we really say cybersecurity is part of our DNA and so as we look at what we do in the cloud, you'll find that security has always been an underpinning to a lot of what we deliver, whether it's on the DevSecOps services, migration services, stuff like that. But what we're really trying to do is be intentional about how we approach the security piece of the cloud in different ways, right? Traditional infrastructure, you mentioned the totality of security vendors here and at re:Inforce. We're really seeing that you have to approach it differently. So we're bringing together the right partners. We're using what's part of our DNA to really be able to drive the next generation of security inside those clouds for our clients and customers. So as Anne was talking about, we have a new service called the Capgemini Cloud SOC Essentials, and we've really brought our partners to bear, in this case Trend Micro, really bringing a lot of their intelligence and building off of what they do so that we can help customers. Services can be pretty expensive, right, when you go for the high end, or if you have to try to run one yourself, there's a lot of time, I think you mentioned earlier, right, the people's benches. It's really hard to have a really good cybersecurity people in those smaller businesses. So what we're trying to do is we're really trying to help companies, whether you're the really big buyers of the world or some of the smaller ones, right? We want to be able to give you the visibility and ability to deliver to your customers securely. So that's how we're approaching security now and we're cloud SOC Essentials, the new thing that we're announcing while we were here is really driving out of. >> When I came out of re:Invent, when you do these events, you get this Kool-Aid injection and after a while you're like hm, what did I learn? And one of the things that struck me in talking to people is you've got the shared responsibility model that the cloud has sort of created and I know there's complexities across cloud but let's just keep it at cloud generically for a moment. And then you've got the CISO, the AppDev, AppSecDev group is being asked to do a lot. They're kind of being dragged into security that's really not their wheelhouse and then you've got audit which is like the last line of defense. And so one of the things that struck me at re:Inforce is like, okay, Amazon, great job for their portion of the shared responsibility model but I didn't hear a lot in terms of making the CISO's life easier and I'm guessing that's where you guys come in. I wonder if you could talk about that trend, that conceptual layers that I just laid out and where you guys fit. >> Mike: Sure, so I think first and foremost, I always go back to a quote from, I think it's attributed to Peter Drucker, whether that's right or wrong, who knows? But culture eats strategy for breakfast, right? And I think what we've seen in our conversations with whether you're talking to the CISO, the application team, the AppDev team, wherever throughout the organization, we really see that culture is what's going to drive success or failure of security in the org, and so what we do is we really do bring that totality of perspective. We're not just cloud, not just security, not just AppDev. We can really bring across the totality of the Capgemini estate. So that when we go, and you're right, a CISO says, I'm having a hard time getting the app people to deliver what I need. If you just come from a security perspective, you're right, that's what's going to happen. So what we try to do is so, we've got a great DevSecOps service, for example in the cloud where we do that. We bring all the perspectives together, how do we align KPIs? That's a big problem, I think, for what you're seeing, making CISO's lives easier, is about making sure that the app team KPIs are aligned with the CISO's but also the CISO's KPIs are aligned with the app teams. And by doing that, we have had really great success in a number of organizations by giving them the tools then and the people on our side to be able to make those alignments at the business level, to drive the right business outcome, to drive the right security outcome, the right application outcome. That's where I think we've really come to play. >> Absolutely, and I will say from a partnering perspective, what's key in supporting that strategy is we will learn from our partners, we lean on our partners to understand what the trends they're seeing and where they're having an impact with regards to supporting the CISO and supporting the overall security strategy within a company. I mean, they're on the cutting edge. We do a lot to track their technology roadmaps. We do a lot to track how they build their buyer personas and what issues they're dealing with and what issues they're prepared to deal with regards to where they're investing and who's investing in them. A lot of strategy around which partner to bring in and support, how we're going to address the challenges, the CISO and the IT teams are having to kind of support that overall. Security is a part of everything, DNA kind of strategy. >> Yeah, do you have a favorite example, Anne, of a partner that came in with Capgemini, helped a customer really be able to do what Capgemini is doing and that is, have cybersecurity be actually part of their DNA when there's so many challenges, the skills gap. Any favorite example that really you think articulates how you're able to enable organizations to achieve just that? >> Anne: Well, actually the SOC Essentials offering that we're rolling out is a prime example of that. I mean, we work very, very closely with Trend on all fronts with regards to developing it. It's one of those completely collaborative from day one to going to the customer and that it's almost that seamless connectivity and just partnering at such a strategic level is a great example of how it's done right, and when it's done right, how successful it can be. >> Dave: Why Trend Micro? Because I mean, I'm sure you've seen, I think that's Optiv, has the eye test with all the tools and you talk to CISOs, they're like really trying to consolidate those tools. So I presume there's a portfolio play there, but tell us, tell the audience a little bit more about why Trend Micro and I mean your branding with them, why those guys? >> Well, it goes towards the technology, of course, and all the development they've done and their position within AWS and how they address assuring security for our clients who are moving onto and running their estates on AWS. There's such a long heritage with regards to their technology platform and what they've developed, that deep experience, that kind of the strength of the technology because of the longevity they've had and where they sit within their domain. I try to call partners out by their domain and their area of expertise is part of the reason, I mean. >> Yeah, I think another big part of it is Gartner is expecting, I think they published this out in the next three years, we expect to see another consolidation both inside of the enterprises as well as, I look back a couple years, when Palo Alto went on a very nice spending spree, right? And put together a lot of really great companies that built their Prisma platform. So what I think one of the reasons we picked Trend in this particular case is as we look forward for our customers and our clients, not just having point solutions, right? This isn't just about endpoint protection, this isn't just about security posture management. This is really who can take the totality of the customer's problems and deliver on the right outcomes from a single platform, and so when we look at companies like Trend, like Palo, some of the bigger partners for us, that's where we try to focus. They're definitely best in breed and we bring those to our customers too for certain things. But as we look to the future, I think really finding those partners that are going to be able to solve a swath of problems at the right price point for their customers, that is where I think we see the industry moving. >> Dave: And maybe be around as an independent company. Was that a factor as well? I mean, you see Thoma Bravo buying up all his hiring companies and right, so, and maybe they're trying to create something that could be competitive, but you're saying Trend Micros there, so. >> Well I think as Anne mentioned, the 30 year heritage, I think, of Trend Micro really driving this and I've done work with them in various past things. There's also a big part of just the people you like, the people that are good to work with, that are really trying to be customer obsessed, going back right, at an AWS event, the ones that get the cloud tend to be able to follow those Amazon LPs as well, right, just kind of naturally, and so I think when you look at the Trend Micros of the world, that's where that kind of cloud native piece comes out and I like working with that. >> In this environment, the macro environment, lets talk a bit, earning season, it's really mixed. I mean you're seeing some really good earnings, some mixed earnings, some good earnings with cautious guidance. So nobody really (indistinct), and it was for a period time there was a thinking that security was non-discretionary and it's clearly non-discretionary, but the CISO, she or he, doesn't have unlimited budgets, right? So what are you seeing in terms of how are customers dealing with this challenging macro environment? Is it through tools consolidation? Is that a play that's going on? What are you seeing in the customer base? >> Anne: I see ways, and we're working through this right now where we're actually weaving cybersecurity in at the very beginning of how we're designing offers across our entire offer portfolio, not just the cybersecurity business. So taking that approach in the long run will help contain costs and our hope, and we're already seeing it, is it's actually helping change the perception that security's that cost center and that final obstacle you have to get over and it's going to throw your margins off and all that sort of stuff. >> Dave: I like that, its at least is like a security cover charge. You're not getting in unless we do the security thing. >> Exactly, a security cover charge, that's what you should call it. >> Yeah. >> Like it. >> Another piece though, you mentioned earlier about making CISO's life easier, right? And I think, as Anne did a really absolutely true about building it in, not to the security stack but application developers, they want visibility they want observability, they want to do it right. They want CI/CD pipeline that can give them confidence in their security. So should the CISO have a budget issue, right? And they can't necessarily afford, but the application team as they're looking at what products they want to purchase, can I get a SaaS or a DaaS, right? The static or dynamic application security testing in my product up front and if the app team buys into that methodology, the CISO convinces them, yes, this is important. Now I've got two budgets to pull from, and in the end I end up with a cheaper, a lower cost of a service. So I think that's another way that we see with like DevSecOps and a few other services, that building in on day one that you mentioned. >> Lisa: Yeah. >> Getting both teams involved. >> Dave: That's interesting, Mike, because that's the alignment that you were talking about earlier in the KPIs and you're not a tech vendor saying, buy my product, you guys have deep consultancy backgrounds. >> Anne: And the customer appreciates that. >> Yeah. >> Anne: They see us as looking out for their best interest when we're trying to support them and help them and bringing it to the table at the very beginning as something that is there and we're conscientious of, just helps them in the long run and I think, they're seeing that, they appreciate that. >> Dave: Yeah, you can bring best practice around measurements, alignment, business process, stuff like that. Maybe even some industry expertise which you're not typically going to get from a product company. >> Well, one thing you just mentioned that I love talking about with Capgemini is the industry expertise, right? So when you look at systems integrators, there are a lot of really, really good ones. To say otherwise would be foolish. But Capgemini with our acquisition of Altran, a couple years ago, I think think it was, right? How many other GSIs or SIs are actually building silicon for IoT chips? So IoT's huge right now, the intelligent industry moving forward is going to drive a lot of those business outcomes that people are looking for. Who else can say we've built an autonomous vehicle, Capgemini can. Who can say that we've built the IoT devices from the ground up? We know not just how to integrate them into AWS, into the IoT services in the cloud, but to build and have that secure development for the firmware and all and that's where I think our customers really look to us as being those industry experts and being able to bring that totality of our business to bear for what they need to do to achieve their objectives to deliver to their customer. >> Dave: That's interesting. I mean, using silicon as a differentiator to drive a lot of business outcomes and security. >> Mike: Absolutely. >> I mean you see what Amazon's doing in silicon, Look at Apple. Look at what Tesla's doing with silicon. >> Dave: That's where you're seeing a lot of people start focusing 'cause not everybody can do it. >> Yeah. >> It's hard. >> Right. >> It's hard. >> And you'll see some interesting announcements from us and some interesting information and trends that we'll be driving because of where we're placed and what we have going around security and intelligent industry overall. We have a lot of investment going on there right now and again, from the partner perspective, it's an ecosystem of key partners that collectively work together to kind of create a seamless security posture for an intelligent industry initiative with these companies that we're working with. >> So last question, probably toughest question, and that's to give us a 30 second like elevator pitch or a billboard and I'm going to ask you, Anne, specifically about the SOC Essentials program powered by Trend Micro. Why should organizations look to that? >> Organizations should move to it or work with us on it because we have the expertise, we have the width and breadth to help them fill the gaps, be those eyes, be that team, the police behind it all, so to speak, and be the team behind them to make sure we're giving them the right information they need to actually act effectively on maintaining their security posture. >> Nice and then last question for you, Mike is that billboard, why should organizations in any industry work with Capgemini to help become an intelligent industrial player. >> Mike: Sure, so if you look at our board up top, right, we've got our tagline that says, "get the future you want." And that's what you're going to get with Capgemini. It's not just about selling a service, it's not just about what partners' right in reselling. We don't want that to be why you come to us. You, as a company have a vision and we will help you achieve that vision in a way that nobody else can because of our depth, because of the breadth that we have that's very hard to replicate. >> Awesome guys, that was great answers. Mike, Anne, thank you for spending some time with Dave and me on the program today talking about what's new with Capgemini. We'll be following this space. >> All right, thank you very much. >> For our guests and for Dave Vellante, I'm Lisa Martin, you're watching theCUBE, the leader in live enterprise and emerging tech coverage. (gentle light music)

Published Date : Dec 1 2022

SUMMARY :

but it's packed in the expo center. is the number one topic the Director of Cybersecurity Normally on the last and around the totality of this expo floor in the waves in the cloud is the kind of the starter offer and ability to deliver to that the cloud has sort of created and the people on our side and supporting the and that is, have cybersecurity and that it's almost that has the eye test with all the tools and all the development they've done and deliver on the right and maybe they're trying the people that are good to work with, but the CISO, she or he, and it's going to throw your margins off Dave: I like that, that's what you should call it. and in the end I end up with a cheaper, about earlier in the KPIs Anne: And the customer and bringing it to the to get from a product company. and being able to bring to drive a lot of business Look at what Tesla's doing with silicon. Dave: That's where you're and again, from the partner perspective, and that's to give us a 30 and be the team behind them is that billboard, why because of the breadth that we have Awesome guys, that was great answers. the leader in live enterprise

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Paul Daugherty & Jim Wilson | AWS Executive Summit 2022


 

(upbeat music) >> Hello, everyone. Welcome to theCUBE's coverage here at AWS re:Invent 2022. This is the Executive Summit with Accenture. I'm John Furrier, your host of theCUBE with two great guests coming on today, really talking about the future, the role of humans. Radically human is going to be the topic. Paul Daugherty, the group Chief Executive Technology and CTO at Accenture. And Jim Wilson, Global Managing Director of Thought Leadership and Technology Research, Accenture. Gentlemen, thank you for coming on theCUBE for this conversation around your new hit book, "Radically Human." >> Thanks, John. It's great to be with you and great to be present at re:Invent. >> We've been following you guys for many, many years now, over a decade. You always have the finger on the pulse. I mean, and as these waves come in, it's really important to understand impact. And more than ever, we're in this, I call it the systems thinking, revolution is going on now where things have consequences and machines are now accelerating their role. Developers are becoming the front lines of running companies, seeing a massive shift. This new technology is transforming the business and shaping our future as as humans. And so I love the book, very, very strong content, really right on point. What was the motivation for the book? And congratulations, but I noticed you got the structure, part one and part two, this book seems to be packing a big punch. What was the motivation, and what was some of the background in putting the book together? >> That's a great question, John. And I'll start, and then, Jim, my co-author and colleague and partner on the book can join in too. If you step back from the book itself, we'd written a first book called "Human + Machine", which focused a lot on artificial intelligence and talked about the potential and future of artificial intelligence to create a more human future for us with the human plus machine pairing. And then when we started working on the next book, it was the COVID era. COVID came on line as we were writing the book. And that was causing really an interesting time in technology for a lot of companies. I mean, think back to what you were doing. Once COVID hit, every company became more dependent on technology. Technology was the lifeline. And so Jim and I got interested in what the impacts of that were on companies, and what was different from the first research we had done around our first book. And what we found, which was super interesting, is that pre-pandemic, the leading companies, the digital leaders that were applying cloud data, AI, and related technologies faster, we're outperforming others by a factor of 2x. And that was before the pandemic. After the pandemic, we redid the research and the gap widened into 5x. And I think that's played a lot into our book. And we talk about that in the opening of our book. And the message there is exactly what you said is technology is not just the lifeline from the pandemic, but now technology is the heart and soul of how companies are driving innovation, how they're responding to global crises around inflation, energy, supply chain crisis because of the war in Ukraine, et cetera. And companies need the technology more than ever. And that's what we're writing about in "Radically Human." And we're taking a step beyond our previous book to talk about what we believe is next. And it's really cloud, data and AI, and the metaverse that signal out as three trends that are really driving transformative change for companies. In the first part of the book, to your question on the structure, talks about the roadmap to that. We talked about the ideas framework, five areas where you need to change your thinking, flip your assumptions on how to apply technology. And then the second part of the book talks about the differentiators that we believe are going to set companies apart as they look to implement this technology and transform their companies for the future. >> Jim, weigh in on this flipping the script, flipping the assumptions. >> You used a really important word there and that is systems. I think when we think about artificial intelligence, and when Paul and I have now talking to companies, a lot of executives think of AI as a point solution. They don't think about AI in terms of taking a systems approach. So we were trying to address that. All right, if you're going to build a roadmap, a technology roadmap for applying intelligent technologies like artificial intelligence, how do you take a holistic systematic view? And that's really the focus of the first section of the book. And then as Paul mentioned, how do you take those systems and really differentiate it using your talent, focusing on trust, experiences and sustainability? >> I like how it reads. It's almost like a masterclass book because you set the table. It's like, 'cause people right now are like in the mode of what's going on around me? I've been living through three years of COVID. We're coming out the other side. The world looks radically different. Humans are much more important. Automation's great, but people are finding out that the human's key, but people are trying to figure out where am I today. So I think the first part really to me hits home. Like, here's the current situation and then part two is here's how you can get better. And it's not just about machines, machines, machines and automation, automation, automation. We're seeing examples where the role of the human, the person in society, whether it's individually or as part of a group, are really now key assets in that kind of this new workforce or this new production system or society. >> Yeah. And just to take a couple examples from the book and highlight that, I think you're exactly right. And that's where "Radically Human", the title came from. And what's happening with technology is that technology itself is becoming more human like in its capability. When you think about the power of the transformer technologies and other things that we're reading about a lot. And the whole hypothesis or premise of the book I should say, is that the more human like the technology is, the more radically human or the more radical the human potential improvement is, the bigger the opportunity. It's pairing the two together rather than, as you said, just looking at the automation or the machine side of it. That's really the radical leap. And one thing Jim and I talked about in context of the book is companies really often haven't been radical enough in applying technology to really get to dramatic gains that they can get. Just a couple examples from the ideas framework, the I in IDEAS. The ideas framework is the first part of the book. The five areas to flip your assumptions. The I stands for intelligence and we're talking about more human and less artificial in terms of the intelligence techniques. Things like common sense learning and other techniques that allow you to develop more powerful ways of engaging people, engaging humans in the systems that we build using the kind of systems thinking that Jim mentioned. And things like emotional AI, common sense AI, new techniques in addition to machine, the big data driven machine learning techniques, which are essential to vision and solving big problems like that. So that's just an example of how you bring it together and enable that human potential. >> I love the idea, go ahead Jim. >> I was going to say we've been used to adapting to technology, and contorting our fingers to keyboards and so on for a long time. And now we're starting to see that technology is in fact beginning to adapt to us and become more natural in many instances. One point that we make is now in the human technology nexus, in fact, the human is in the ascended. That's one of the big ideas that we try to put out there in this book. >> I love the idea of flipping the script, flipping the assumptions, but ideas framework is interesting. I for intelligence, D for data, E for expertise, A for architecture, S for strategy. Notice the strategies last. Normally in the old school days, it's like, hey, strategy first and execution. Really interesting how you guys put that together. It feels like business is becoming agile and iterative and how it's going to be forming. Can you guys, I mean that's my opinion, but I think observing how developers becoming much more part of the app. I mean, if you take digital transformation to its conclusion, the application is the company, It's not a department serving the business, it is the business, therefore developers are running the business, so to speak. This is really radical. I mean, this is how I'm seeing it. What's your reaction to that? Do you see similar parallels to this transformation if you take it down to a conclusion and strategy is just what you do after you get the outcomes you need? What's your reaction to that? >> Yeah, I think one of the most lasting elements of the book might be that chapter on strategy in my opinion, because you need to think about it differently. The old way of doing strategy is dead. You can't do it the way you used to do it. And that's what we tried to lay out with the S in IDEAS, the strategy. The subtitle that chapter is we're all technology companies now. And if you're a technology driven company, the way you need to think about and every company is becoming, that's what I hear when I talk to these suites and CEOs and boards, is everybody's recognizing the essential role that technology plays and therefore they need to master technology. Well, you need to think about strategy differently then because of the pace of technology innovation. And so you need to throw out the old way of doing it. We suggest three new archetypes of how to do strategy that I think are really important. It's about continuous strategy in all cases. An example is one of the techniques we talk about, forever beta, which is, think about a Tesla or companies that it's never quite done. They're always improving and the product is designed to be connected and improving. So it changes along the product and the strategy along how you deploy it to consumers changes as you go. And that's an example of a very different approach to strategy that we believe is essential to consider as you look at the future. Yeah, those multi-month strategy sessions might play out over two or three quarters of going away. And strategy and execution are becoming almost simultaneous these days as Paul was saying. >> It's interesting because that's the trend you're seeing with more data, more automation, but the human plays a much critical role. And just aside on the Tesla example, is well documented. I think I wrote about in a post just this week that during the model three, Elon wanted full automation and had to actually go off scripts and get to humans back in charge 'cause it wasn't working properly. Now they have a balance. But that brings up to part two, which I like, which is this human piece of it. We always talk about skills gaps, there's not enough people to do this, that and the other thing. And talent was a big part of that second half, trust, talent, experiences. That's more of the person's role, either individually as part of a collective group. Is talent the scarce resource now where that's the goal, that's the key 'cause it all could point to that in a way. Skills gap points to, hey, humans are valuable. In fact the value's going up if it's properly architected. What's your reaction to that, guys? Because I think that's something that is not, kind of nuanced point, but it's a feature, not a bug maybe, I don't know. What's your thoughts? >> Yeah, go ahead Jim. >> I was going to say it, we're dramatically underestimating the amount of focus we need to put on talent. That's why we start off that second part of the book, really zooming in on talent. I think you might think that for every hundred dollars that you put into a technology initiative, you might put 50 or 75 into re-skilling initiatives to really compliment that. But what we're seeing is companies need to be much more revolutionary in their focus on talent. We saw economic analysis recently that pointed out that for every $1 you spend on technology, you are likely going to need to spend about $9 on intangible human capital. That means on talent, on getting the best talent, on re-skilling and on changing processes and work tasks. So there's a lot of work that needs to be done. Really that's human focus. It's not just about adopting the technology. Certainly the technology's critical, but we're underestimating the amount of focus that needs to go into the talent factors. >> That's a huge point. >> And I think some of the elements of talent that become really critical that we talked about in the book are becoming a talent creator. We believe the successful companies of the future are going to be able not just to post a job opening and hire people in because there's not going to be enough. And a lot of the jobs that companies are creating don't exist 'cause the technology changing so fast. So the companies that succeed are going to know how to create talent, bring in people, apprentices and such, and shape to tale as they go. We're doing a significant amount of that in our own company. They're going to be learning based organizations where you'll differentiate, you'll get the best employees if you provide better learning environments because that's what employees want. And then democratizing access to technology. Things like Amazon's Honeycode is an example, low-code/no-code development to spread development to wider pools of people. Those types of things are really critical going forward to really unlock the talent potential. And really what you end up with is, yeah, the human talent's important, but it's magnified and multiplied by the power of people, giving them in essence superpowers in using technology in new ways. >> I think you nailed it, that's super important. That point about the force multiplier when you put things in combination, whether it's group constructs, two pizza teams flexing, leveraging the talent. I mean, this is a new configuration. You guys are nailing it there. I love that piece. And I think groups and collectives you're going to start to see a lot more of that. But again, with talent comes trust when you start to have these ephemeral and or forming groups that are forming production systems or experiences. So trust comes up a lot. You guys see the metaverse as an important part there. Obviously metaverse is a pretext to the virtual world where we're going to start to create these group experiences and create new force multipliers. How does the metaverse play into this new radically human world, and what does it mean for the future of business? >> Yeah, I think the metaverse is radically misunderstood to use the word title when we're not with the title of our book. And we believe that the metaverse does have real big potential, massive potential, and I think it'll transform the way we think about digital more so than we've changed our thinking on digital in the last 10 years. So that's the potential of the metaverse. And it's not just about the consumer things, it's about metaverse and the enterprise. It's about the new products you create using distributed ledger and other technologies. And it's about the industrial metaverse of how you bring digital twins and augmented workers online in different ways. And so I believe that it has tremendous potential. We write about that in the book and it really takes radically human to another level. And one way to think about this is cloud is really becoming the operating system of business. You have to build your enterprise around the cloud as you go forward. That's going to shape the way you do business. AI becomes the insight and intelligence in how you work, infused with the human talent and such as we said. And the metaverse then reshapes the experience layers. So you have cloud, AI building on top of this metaverse providing a new way to generate experiences for employees, citizens, consumers, et cetera. And that's the way it unfolds, but trust becomes more important because just as AI raises new questions around trust, every technology raises new questions around trust. The metaverse raises a whole new set of questions. And in the book we outline a five-part framework or five essential parts of the framework around how you establish trust as you implement these new technologies. >> Yeah, we're seeing that about three quarters of companies are really trying to figure out trust, certainly with issues like the metaverse more broadly across their IT so they're focusing on security and privacy, transparency, especially when you're talking about AI systems, explainability. One of the more surprising things that we learned when doing the book, when we were doing the research is that we saw that increasingly consumers and employees want systems to be informed by a sense of humanity. So one company that we've been looking at that's been developing autonomous vehicles, self-driving car systems, they're actually training the system by emulating human behavior. So turning the cameras on test drivers to see how they learn and then training the AI using that sense of humanity 'cause other drivers on the road find human behavior more trustworthy. And similarly, that system is also using explainable AI to actually show which human behaviors that AI system is learning from. Some really interesting innovations happening in that trust space. John. >> Jim, I think you bring up a great point that's worth talking more about. Because you're talking about how human behaviors are being put into the design of new things like machines or software. And we're living in this era of cloud scale, which is compressing this transformation timeline and we've been calling it supercloud, some call it multi-cloud, but it's really a new thing happening where you're seeing an acceleration of the transformation. We think it's going to happen much faster in the next five to 10 years. And so that means these new things are emerging, not just, hey, I'm running a virtual event with chat and some video. It's group behavior, it's groups convening, talking, getting things done, debating, doing things differently. And so this idea of humans informing design decisions or software with low-code/no-code, this completely changes strategy. I mean this is a big point of the book. >> Yeah, no, I go back to one of the, the E in the IDEAS framework is expertise. And we talk about from machine learning to machine teaching, which is exactly that. Machine learning is maybe humans tag data and stuff and feed into algorithms. Machine teaching is how do you really leverage the human expertise in the systems that you develop with AI. One of the examples we give is one of the large consumer platforms that uses human designers to give the system a sense of aesthetic design and product design. A very difficult thing, especially with changing fashion interest and everything else to encode in algorithms and to even have AI do, even if you have fast amounts of data, but with the right human insight and human expertise injected in, you can create amazing new capability that responds to consumers in a much more powerful way. And that's an example of what you just said, John, bringing the two together. >> Well, yeah, it's interesting. I want to to get your thoughts as we get wrap up here soon. How do you apply all these human-centric technologies to the future of business? As you guys talk to leaders in the enterprise of their businesses, as they look at the horizon, they see the the future. They got to start thinking about things like generative AI and how they can bring some of these technologies to the table. We were talking about if open source continues to grow the way it's going, there might not be any code to write, it just writes itself at some point. So you got supply chain issues with security. These are new things you guys are hitting in the book where these are new dynamics, new power dynamics in how things get built. So if you're a business owner and leader, this is a new opportunity, a challenge certainly that is an opportunity. How do you apply all this stuff for business? >> I'll go first then Jim can add in. But the first thing I think starts with recognizing the role that technology does play and investing accordingly in it. So the right technology talent, rethinking the way you do strategy as we talked about earlier and recognizing how you need to build a foundation. That's why the fact you're at re:Invent is so important because companies are, again, rebuilding that operating system of their business in the cloud. And you need that as the foundation to go forward, to do, to build the other types of capabilities. And then I think it's developing those talent systems as well. Do you have the right talent brand? Are you attracting the right employees? Are you developing them in the right way so that you have the right future talent going forward? And then you marry the two together and that's what gives you the radically human formula. >> Yeah. When we were developing that first part of the book, Paul and I did quite a bit of research, and Paul kind of alluded to that research earlier, but one of the things that we saw in really the first year of the pandemic was that there was a lot of first time adoption of intelligent technologies like artificial intelligence. One statistic is that 70% of companies that had never tried AI before went ahead and tried it during the pandemic. So first time adoption rates were way up, but the thing is companies were not trying to do it themselves and to necessarily build an AI department. They were partnering and it's really important to find a partner, often a cloud partner as a way to get started, start small scale, and then scale up doing experiments. So that was one of the key insights that we had. You don't need to do it all yourself. >> If you see the transformation of just AWS, we're here at re:Invent, since we've been covering the events since 2013, every year there's been a thematic thing. It was startups, enterprise, now builders, and now change your company. This year it's continuing that same thing where you're starting to see new things happen. It's not just lift and shift and running a SaaS application on the cloud. People are are changing and refactoring and replatforming categorical applications in for this new era. And we're calling it supercloud, superservices, superapps, 'cause they're different. They're doing different things in leveraging large scale CapEx, large scale talent pools, or talent pools in certain ways. So this is real, something's happening here and we've been talking about it a lot lately. So I have to ask you guys, how does a company know if they're radical enough? Like what is radical? How can I put a pin in that? It's like take a temperature or we like radical enough, what some tell signs can you guys share for companies that are really leaning into this new next inflection point because there are new things happening? How do you know if you're you're pushing the envelope radical enough to take advantage? >> Yeah, I think one. >> You can go ahead, Paul. >> Yeah, I was going to say one of the tests is the impact on your business. You have to start by looking at all this in the context of your business, and is it really taking you to another level? You said it perfectly, John, it used to be we used to talk about migration and workloads to the cloud and things like that. That's still something you need to do. But now our focus with a lot of our customers is on how do you innovate and grow your business in the cloud? What's the platform that you're using for your new digital products and services you're offering to your consumers. I mean it is the business and I think that's the test whether you're being radical enough is on the one hand, are you really using the technology to drive differentiation and real growth and change in your business? And are you equipping people, your human talent with the capabilities they need to perform in very different ways? And those are the two tests that I would give. >> Totally agree. >> Interesting enough, we love this topic and you guys, again, the book is spot on. Very packs of big punch on content, but very relevant in today. And I think one of the things we're looking at is that people who do things differently take advantage of some of these radical approaches like IDEAS, your framework, and understand where they are and what's available and what's coming around the corner. They stand out in the pack or create new business opportunities because the CapEx is taken care of. Now you got your cloud, I mean you're building clouds on top of clouds or something's happening. I think you see it, look at like companies like Snowflake, it's a data warehouse on the cloud. What does that mean? They didn't build a cloud, they used Amazon. So you're starting to see these new things pop up. >> Yeah and that's a good example. And it sounds like a simple thing, data warehouse in the cloud, but the new business capability that a technology like that allows and the portability of being able to connect and use data across cloud environments and such is tremendously powerful. And I think that's why, you talk about companies doing things differently, that's why it's great, again, that you're at re:Invent. If you look at the index of our book, you'll see AWS mentioned a number of times 'cause we tell a lot of customer company stories about how they're leveraging AWS capabilities in cloud and AI to really do transformative things in their business. And I think that's what it's all about. >> Yeah, and one of the things too in the book, it's great 'cause it has the systems thinking, it's got really relevant information, but you guys have seen the movie before. I think one of the wild cards in this era is global. We're global economy, you've got regions, you've got data sovereignty, you're seeing all kinds of new things emerging. Thoughts on the global impact 'cause you take your book and you overlay that to business, like you got to operate all over the world as a human issue, as a geography issue. What's your guys take on the global impact? >> Well that's why you got to think about cloud as one technology. We talked about in the book and cloud is, I think a lot of people think, well, clouds, it's almost old news. Maybe it's been around for a while. As you said, you've been going to re:Invent since 2013. Cloud is really just getting started. And it's 'cause the reasons you said, when you look at what you need to do around sovereign cloud capability if you're in Europe. For many companies it's about multi-cloud capabilities that you need to deploy differently in different regions. And they need to, in some cases for good reason, they have hybrid cloud capability that they match on their own. And then there's the edge capability which comes into play in different ways. And so the architecture becomes very complex and we talk the A in IDEAS is architecture. We talk about all this and how you need to move from the old conception of architecture, which was more static and just modularity was the key thing you thought about. It's more the idea of a living system, of living architecture that's expanding and is what's much more dynamic. And I think that's the way you need to think about it as you manage in a global environment today with the pace of technology advancement. >> Yeah, the innovation is here. It's not stopping. How do you create some defacto standards while not stunting the innovation is going to be a big discussion as these new flipped assumptions start to generate more activity. It's going to be very interesting to watch. Gentlemen, thank you so much for spending the time here on theCUBE as we break down your new book, "Radically Human" and how business leads can flip the script on their business assumptions and put ideas and access to work. This is a big part of the cloud show at re:Invent. Thanks so much for sharing and congratulations on a great book. >> Thanks, John. And just one point I'd add is that one of the things we do talk about in talent is the need to reskill talent. People who need to be relevant in the rapidly changing future. And that's one area where I think we all as institutions, as communities and individuals need to do more is to help those that need to reskilling. And the final point I mentioned is that we've mentioned at the end of the book that all proceeds from the book are being donated to NGOs and nonprofits that are focused on reskilling those who need a skill refresh in light of the radically human change in technology that's happening. >> Great. Buy the book. Proceeds go to a great cause and it's a very relevant book. If you're in the middle of this big wave that's coming. this is a great book. There's a guidepost and also give you some great ideas to reset, reflip the scripts, refactor, replatform. Guys, thanks for coming on and sharing. I really appreciate it. Again, congratulations. >> Thanks, John. >> Thanks, John. Great discussion. >> You're watching theCUBE here covering the executive forum here at AWS re:Invent '22. I'm John Furrier, you're host with Accenture. Thanks for watching. (gentle music)

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Itamar Ankorion, Qlik & Peter MacDonald, Snowflake | AWS re:Invent 2022


 

(upbeat music) >> Hello, welcome back to theCUBE's AWS RE:Invent 2022 Coverage. I'm John Furrier, host of theCUBE. Got a great lineup here, Itamar Ankorion SVP Technology Alliance at Qlik and Peter McDonald, vice President, cloud partnerships and business development Snowflake. We're going to talk about bringing SAP data to life, for joint Snowflake, Qlik and AWS Solution. Gentlemen, thanks for coming on theCUBE Really appreciate it. >> Thank you. >> Thank you, great meeting you John. >> Just to get started, introduce yourselves to the audience, then going to jump into what you guys are doing together, unique relationship here, really compelling solution in cloud. Big story about applications and scale this year. Let's introduce yourselves. Peter, we'll start with you. >> Great. I'm Peter MacDonald. I am vice president of Cloud Partners and business development here at Snowflake. On the Cloud Partner side, that means I manage AWS relationship along with Microsoft and Google Cloud. What we do together in terms of complimentary products, GTM, co-selling, things like that. Importantly, working with other third parties like Qlik for joint solutions. On business development, it's negotiating custom commercial partnerships, large companies like Salesforce and Dell, smaller companies at most for our venture portfolio. >> Thanks Peter and hi John. It's great to be back here. So I'm Itamar Ankorion and I'm the senior vice president responsible for technology alliances here at Qlik. With that, own strategic alliances, including our key partners in the cloud, including Snowflake and AWS. I've been in the data and analytics enterprise software market for 20 plus years, and my main focus is product management, marketing, alliances, and business development. I joined Qlik about three and a half years ago through the acquisition of Attunity, which is now the foundation for Qlik data integration. So again, we focus in my team on creating joint solution alignment with our key partners to provide more value to our customers. >> Great to have both you guys, senior executives in the industry on theCUBE here, talking about data, obviously bringing SAP data to life is the theme of this segment, but this reinvent, it's all about the data, big data end-to-end story, a lot about data being intrinsic as the CEO says on stage around in the organizations in all aspects. Take a minute to explain what you guys are doing as from a company standpoint. Snowflake and Qlik and the solutions, why here at AWS? Peter, we'll start with you at Snowflake, what you guys do as a company, your mission, your focus. >> That was great, John. Yeah, so here at Snowflake, we focus on the data platform and until recently, data platforms required expensive on-prem hardware appliances. And despite all that expense, customers had capacity constraints, inexpensive maintenance, and had limited functionality that all impeded these organizations from reaching their goals. Snowflake is a cloud native SaaS platform, and we've become so successful because we've addressed these pain points and have other new special features. For example, securely sharing data across both the organization and the value chain without copying the data, support for new data types such as JSON and structured data, and also advance in database data governance. Snowflake integrates with complimentary AWS services and other partner products. So we can enable holistic solutions that include, for example, here, both Qlik and AWS SageMaker, and comprehend and bring those to joint customers. Our customers want to convert data into insights along with advanced analytics platforms in AI. That is how they make holistic data-driven solutions that will give them competitive advantage. With Snowflake, our approach is to focus on customer solutions that leverage data from existing systems such as SAP, wherever they are in the cloud or on-premise. And to do this, we leverage partners like Qlik native US to help customers transform their businesses. We provide customers with a premier data analytics platform as a result. Itamar, why don't you talk about Qlik a little bit and then we can dive into the specific SAP solution here and some trends >> Sounds great, Peter. So Qlik provides modern data integration and analytics software used by over 38,000 customers worldwide. Our focus is to help our customers turn data into value and help them close the gap between data all the way through insight and action. We offer click data integration and click data analytics. Click data integration helps to automate the data pipelines to deliver data to where they want to use them in real-time and make the data ready for analytics and then Qlik data analytics is a robust platform for analytics and business intelligence has been a leader in the Gartner Magic Quadrant for over 11 years now in the market. And both of these come together into what we call Qlik Cloud, which is our SaaS based platform. So providing a more seamless way to consume all these services and accelerate time to value with customer solutions. In terms of partnerships, both Snowflake and AWS are very strategic to us here at Qlik, so we have very comprehensive investment to ensure strong joint value proposition to we can bring to our mutual customers, everything from aligning our roadmaps through optimizing and validating integrations, collaborating on best practices, packaging joint solutions like the one we'll talk about today. And with that investment, we are an elite level, top level partner with Snowflake. We fly that our technology is Snowflake-ready across the entire product set and we have hundreds of joint customers together and with AWS we've also partnered for a long time. We're here to reinvent. We've been here with the first reinvent since the inaugural one, so it kind of gives you an idea for how long we've been working with AWS. We provide very comprehensive integration with AWS data analytics services, and we have several competencies ranging from data analytics to migration and modernization. So that's our focus and again, we're excited about working with Snowflake and AWS to bring solutions together to market. >> Well, I'm looking forward to unpacking the solutions specifically, and congratulations on the continued success of both your companies. We've been following them obviously for a very long time and seeing the platform evolve beyond just SaaS and a lot more going on in cloud these days, kind of next generation emerging. You know, we're seeing a lot of macro trends that are going to be powering some of the things we're going to get into real quickly. But before we get into the solution, what are some of those power dynamics in the industry that you're seeing in trends specifically that are impacting your customers that are taking us down this road of getting more out of the data and specifically the SAP, but in general trends and dynamics. What are you hearing from your customers? Why do they care? Why are they going down this road? Peter, we'll start with you. >> Yeah, I'll go ahead and start. Thanks. Yeah, I'd say we continue to see customers being, being very eager to transform their businesses and they know they need to leverage technology and data to do so. They're also increasingly depending upon the cloud to bring that agility, that elasticity, new functionality necessary to react in real-time to every evolving customer needs. You look at what's happened over the last three years, and boy, the macro environment customers, it's all changing so fast. With our partnerships with AWS and Qlik, we've been able to bring to market innovative solutions like the one we're announcing today that spans all three companies. It provides a holistic solution and an integrated solution for our customer. >> Itamar let's get into it, you've been with theCUBE, you've seen the journey, you have your own journey, many, many years, you've seen the waves. What's going on now? I mean, what's the big wave? What's the dynamic powering this trend? >> Yeah, in a nutshell I'll call it, it's all about time. You know, it's time to value and it's about real-time data. I'll kind of talk about that a bit. So, I mean, you hear a lot about the data being the new oil, but it's definitely, we see more and more customers seeing data as their critical enabler for innovation and digital transformation. They look for ways to monetize data. They look as the data as the way in which they can innovate and bring different value to the customers. So we see customers want to use more data so to get more value from data. We definitely see them wanting to do it faster, right, than before. And we definitely see them looking for agility and automation as ways to accelerate time to value, and also reduce overall costs. I did mention real-time data, so we definitely see more and more customers, they want to be able to act and make decisions based on fresh data. So yesterday's data is just not good enough. >> John: Yeah. >> It's got to be down to the hour, down to the minutes and sometimes even lower than that. And then I think we're also seeing customers look to their core business systems where they have a lot of value, like the SAP, like mainframe and thinking, okay, our core data is there, how can we get more value from this data? So that's key things we see all the time with customers. >> Yeah, we did a big editorial segment this year on, we called data as code. Data as code is kind of a riff on infrastructure as code and you start to see data becoming proliferating into all aspects, fresh data. It's not just where you store it, it's how you share it, it's how you turn it into an application intrinsically involved in all aspects. This is the big theme this year and that's driving all the conversations here at RE:Invent. And I'm guaranteeing you, it's going to happen for another five and 10 years. It's not stopping. So I got to get into the solution, you guys mentioned SAP and you've announced the solution by Qlik, Snowflake and AWS for your customers using SAP. Can you share more about this solution? What's unique about it? Why is it important and why now? Peter, Itamar, we'll start with you first. >> Let me jump in, this is really, I'll jump because I'm excited. We're very excited about this solution and it's also a solution by the way and again, we've seen proven customer success with it. So to your point, it's ready to scale, it's starting, I think we're going to see a lot of companies doing this over the next few years. But before we jump to the solution, let me maybe take a few minutes just to clarify the need, why we're seeing, why we're seeing customers jump to do this. So customers that use SAP, they use it to manage the core of their business. So think order processing, management, finance, inventory, supply chain, and so much more. So if you're running SAP in your company, that data creates a great opportunity for you to drive innovation and modernization. So what we see customers want to do, they want to do more with their data and more means they want to take SAP with non-SAP data and use it together to drive new insights. They want to use real-time data to drive real-time analytics, which they couldn't do to date. They want to bring together descriptive with predictive analytics. So adding machine learning in AI to drive more value from the data. And naturally they want to do it faster. So find ways to iterate faster on their solutions, have freedom with the data and agility. And I think this is really where cloud data platforms like Snowflake and AWS, you know, bring that value to be able to drive that. Now to do that you need to unlock the SAP data, which is a lot of also where Qlik comes in because typical challenges these customers run into is the complexity, inherent in SAP data. Tens of thousands of tables, proprietary formats, complex data models, licensing restrictions, and more than, you have performance issues, they usually run into how do we handle the throughput, the volumes while maintaining lower latency and impact. Where do we find knowledge to really understand how to get all this done? So these are the things we've looked at when we came together to create a solution and make it unique. So when you think about its uniqueness, because we put together a lot, and I'll go through three, four key things that come together to make this unique. First is about data delivery. How do you have the SAP data delivery? So how do you get it from ECC, from HANA from S/4HANA, how do you deliver the data and the metadata and how that integration well into Snowflake. And what we've done is we've focused a lot on optimizing that process and the continuous ingestion, so the real-time ingestion of the data in a way that works really well with the Snowflake system, data cloud. Second thing is we looked at SAP data transformation, so once the data arrives at Snowflake, how do we turn it into being analytics ready? So that's where data transformation and data worth automation come in. And these are all elements of this solution. So creating derivative datasets, creating data marts, and all of that is done by again, creating an optimized integration that pushes down SQL based transformations, so they can be processed inside Snowflake, leveraging its powerful engine. And then the third element is bringing together data visualization analytics that can also take all the data now that in organizing inside Snowflake, bring other data in, bring machine learning from SageMaker, and then you go to create a seamless integration to bring analytic applications to life. So these are all things we put together in the solution. And maybe the last point is we actually took the next step with this and we created something we refer to as solution accelerators, which we're really, really keen about. Think about this as prepackaged templates for common business analytic needs like order to cash, finance, inventory. And we can either dig into that a little more later, but this gets the next level of value to the customers all built into this joint solution. >> Yeah, I want to get to the accelerators, but real quick, Peter, your reaction to the solution, what's unique about it? And obviously Snowflake, we've been seeing the progression data applications, more developers developing on top of Snowflake, data as code kind of implies developer ecosystem. This is kind of interesting. I mean, you got partnering with Qlik and AWS, it's kind of a developer-like thinking real solution. What's unique about this SAP solution that's, that's different than what customers can get anywhere else or not? >> Yeah, well listen, I think first of all, you have to start with the idea of the solution. This are three companies coming together to build a holistic solution that is all about, you know, creating a great opportunity to turn SAP data into value this is Itamar was talking about, that's really what we're talking about here and there's a lot of technology underneath it. I'll talk more about the Snowflake technology, what's involved here, and then cover some of the AWS pieces as well. But you know, we're focusing on getting that value out and accelerating time to value for our joint customers. As Itamar was saying, you know, there's a lot of complexity with the SAP data and a lot of value there. How can we manage that in a prepackaged way, bringing together best of breed solutions with proven capabilities and bringing this to market quickly for our joint customers. You know, Snowflake and AWS have been strong partners for a number of years now, and that's not only on how Snowflake runs on top of AWS, but also how we integrate with their complementary analytics and then all products. And so, you know, we want to be able to leverage those in addition to what Qlik is bringing in terms of the data transformations, bringing data out of SAP in the visualization as well. All very critical. And then we want to bring in the predictive analytics, AWS brings and what Sage brings. We'll talk about that a little bit later on. Some of the technologies that we're leveraging are some of our latest cutting edge technologies that really make things easier for both our partners and our customers. For example, Qlik leverages Snowflakes recently released Snowpark for Python functionality to push down those data transformations from clicking the Snowflake that Itamar's mentioning. And while we also leverage Snowpark for integrations with Amazon SageMaker, but there's a lot of great new technology that just makes this easy and compelling for customers. >> I think that's the big word, easy button here for what may look like a complex kind of integration, kind of turnkey, really, really compelling example of the modern era we're living in, as we always say in theCUBE. You mentioned accelerators, SAP accelerators. Can you give an example of how that works with the technology from the third party providers to deliver this business value Itamar, 'cause that was an interesting comment. What's the example? Give an example of this acceleration. >> Yes, certainly. I think this is something that really makes this truly, truly unique in the industry and again, a great opportunity for customers. So we kind talked earlier about there's a lot of things that need to be done with SP data to turn it to value. And these accelerator, as the name suggests, are designed to do just that, to kind of jumpstart the process and reduce the time and the risk involved in such project. So again, these are pre-packaged templates. We basically took a lot of knowledge, and a lot of configurations, best practices about to get things done and we put 'em together. So think about all the steps, it includes things like data extraction, so already knowing which tables, all the relevant tables that you need to get data from in the contexts of the solution you're looking for, say like order to cash, we'll get back to that one. How do you continuously deliver that data into Snowflake in an in efficient manner, handling things like data type mappings, metadata naming conventions and transformations. The data models you build all the way to data mart definitions and all the transformations that the data needs to go through moving through steps until it's fully analytics ready. And then on top of that, even adding a library of comprehensive analytic dashboards and integrations through machine learning and AI and put all of that in a way that's in pre-integrated and tested to work with Snowflake and AWS. So this is where again, you get this entire recipe that's ready. So take for example, I think I mentioned order to cash. So again, all these things I just talked about, I mean, for those who are not familiar, I mean order to cash is a critical business process for every organization. So especially if you're in retail, manufacturing, enterprise, it's a big... This is where, you know, starting with booking a sales order, following by fulfilling the order, billing the customer, then managing the accounts receivable when the customer actually pays, right? So this all process, you got sales order fulfillment and the billing impacts customer satisfaction, you got receivable payments, you know, the impact's working capital, cash liquidity. So again, as a result this order to cash process is a lifeblood for many businesses and it's critical to optimize and understand. So the solution accelerator we created specifically for order to cash takes care of understanding all these aspects and the data that needs to come with it. So everything we outline before to make the data available in Snowflake in a way that's really useful for downstream analytics, along with dashboards that are already common for that, for that use case. So again, this enables customers to gain real-time visibility into their sales orders, fulfillment, accounts receivable performance. That's what the Excel's are all about. And very similarly, we have another one for example, for finance analytics, right? So this will optimize financial data reporting, helps customers get insights into P&L, financial risk of stability or inventory analytics that helps with, you know, improve planning and inventory management, utilization, increased efficiencies, you know, so in supply chain. So again, these accelerators really help customers get a jumpstart and move faster with their solutions. >> Peter, this is the easy button we just talked about, getting things going, you know, get the ball rolling, get some acceleration. Big part of this are the three companies coming together doing this. >> Yeah, and to build on what Itamar just said that the SAP data obviously has tremendous value. Those sales orders, distribution data, financial data, bringing that into Snowflake makes it easily accessible, but also it enables it to be combined with other data too, is one of the things that Snowflake does so well. So you can get a full view of the end-to-end process and the business overall. You know, for example, I'll just take one, you know, one example that, that may not come to mind right away, but you know, looking at the impact of weather conditions on supply chain logistics is relevant and material and have interest to our customers. How do you bring those different data sets together in an easy way, bringing the data out of SAP, bringing maybe other data out of other systems through Qlik or through Snowflake, directly bringing data in from our data marketplace and bring that all together to make it work. You know, fundamentally organizational silos and the data fragmentation exist otherwise make it really difficult to drive modern analytics projects. And that in turn limits the value that our customers are getting from SAP data and these other data sets. We want to enable that and unleash. >> Yeah, time for value. This is great stuff. Itamar final question, you know, what are customers using this? What do you have? I'm sure you have customers examples already using the solution. Can you share kind of what these examples look like in the use cases and the value? >> Oh yeah, absolutely. Thank you. Happy to. We have customers across different, different sectors. You see manufacturing, retail, energy, oil and gas, CPG. So again, customers in those segments, typically sectors typically have SAP. So we have customers in all of them. A great example is like Siemens Energy. Siemens Energy is a global provider of gas par services. You know, over what, 28 billion, 30 billion in revenue. 90,000 employees. They operate globally in over 90 countries. So they've used SAP HANA as a core system, so it's running on premises, multiple locations around the world. And what they were looking for is a way to bring all these data together so they can innovate with it. And the thing is, Peter mentioned earlier, not just the SAP data, but also bring other data from other systems to bring it together for more value. That includes finance data, these logistics data, these customer CRM data. So they bring data from over 20 different SAP systems. Okay, with Qlik data integration, feeding that into Snowflake in under 20 minutes, 24/7, 365, you know, days a year. Okay, they get data from over 20,000 tables, you know, over million, hundreds of millions of records daily going in. So it is a great example of the type of scale, scalability, agility and speed that they can get to drive these kind of innovation. So that's a great example with Siemens. You know, another one comes to mind is a global manufacturer. Very similar scenario, but you know, they're using it for real-time executive reporting. So it's more like feasibility to the production data as well as for financial analytics. So think, think, think about everything from audit to texts to innovate financial intelligence because all the data's coming from SAP. >> It's a great time to be in the data business again. It keeps getting better and better. There's more data coming. It's not stopping, you know, it's growing so fast, it keeps coming. Every year, it's the same story, Peter. It's like, doesn't stop coming. As we wrap up here, let's just get customers some information on how to get started. I mean, obviously you're starting to see the accelerators, it's a great program there. What a great partnership between the two companies and AWS. How can customers get started to learn about the solution and take advantage of it, getting more out of their SAP data, Peter? >> Yeah, I think the first place to go to is talk to Snowflake, talk to AWS, talk to our account executives that are assigned to your account. Reach out to them and they will be able to educate you on the solution. We have packages up very nicely and can be deployed very, very quickly. >> Well gentlemen, thank you so much for coming on. Appreciate the conversation. Great overview of the partnership between, you know, Snowflake and Qlik and AWS on a joint solution. You know, getting more out of the SAP data. It's really kind of a key, key solution, bringing SAP data to life. Thanks for coming on theCUBE. Appreciate it. >> Thank you. >> Thank you John. >> Okay, this is theCUBE coverage here at RE:Invent 2022. I'm John Furrier, your host of theCUBE. Thanks for watching. (upbeat music)

Published Date : Dec 1 2022

SUMMARY :

bringing SAP data to life, great meeting you John. then going to jump into what On the Cloud Partner side, and I'm the senior vice and the solutions, and the value chain and accelerate time to value that are going to be powering and data to do so. What's the dynamic powering this trend? You know, it's time to value all the time with customers. and that's driving all the and it's also a solution by the way I mean, you got partnering and bringing this to market of the modern era we're living in, that the data needs to go through getting things going, you know, Yeah, and to build in the use cases and the value? agility and speed that they can get It's a great time to be to educate you on the solution. key solution, bringing SAP data to life. Okay, this is theCUBE

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Fran Gaetens, Sean Finnerty, Ron Kim | AWS Executive Summit 2022


 

(steady music) >> Oh, welcome back here on theCUBE. I'm John Walls, we're in The Venetian and day one of a jam-packed three days here at AWS re:Invent '22. This is the Executive Summit sponsored by Accenture, and it is Merck time. And I mean, it is loaded with Merck time. We have quite the panel here, in fact. First threesome of the day, by the way. I see you guys have really loaded up nicely. Ron Kim is with us, the SVP and CTO of Merck. Ron, good to see you, sir. >> Thanks, John. >> Also, Fran Gaetens, who's the VP of Technology Infrastructure, Operations, and Experience, which I want to hear more about. Love that job title, Fran. >> Thanks, John. >> And Sean Finnerty, VP of Cloud and Infrastructure Technology. Again, everybody here from Merck. So fellows, thanks for being with us. >> Thanks, John. >> Appreciate the time. >> Yeah. >> So let's just talk about Merck, first off in general in terms of what's happening with the cloud. And Ron, I'll let you jump onto that first. I realize this talk of journey, right? >> Mm-hm. >> It's different for everybody, different slices depending upon where you are, where you start, where you need to finish. Where are you right now in terms of what you're doing with the cloud? >> Yeah, John, we've been on this journey for about two years, have done some great work and achieve some great results in proving we could move to the cloud, moving to the cloud at scale, achieving really measurable financial and operational results. Where we're focusing now going forward is transforming the business. And as you know, our business is saving and improving lives. And so when we talk about moving things to the cloud, it's much more than just moving servers or things like that. It's really contributing towards our business that saves and improves lives. So for our work that we work on together moving into the cloud, the stakes are high, but we think the opportunity's great. And the way to seize that opportunity is what we're doing now, is our BlueSky program and working with AWS and Accenture on it. >> Yeah, so two years, you're two years in. It's like nascent stage still, right? I mean, and it never ends, (laughs) frankly. >> Yeah. >> But talk about that progression and was it, you know, baby steps, was it diving in? I mean, how do you decide, you know, the batting order basically here about how you're going to get things going? >> The early parts of the the two-year journey so far, we're really starting small, primarily driven by a central team. And we did that consciously to get momentum, build the foundation, prove again we could move things to the cloud with success, we could start to scale. And then as that journey went on, now instead of just relying on the central team, we're starting to get the rest of the company involved. So this is not just this team doing the cloud journey. It's the whole company, and that's an ongoing journey, getting all the different stakeholders involved and things like that. But I think that's where we are on the journey now, is look, let's lock arms with everybody in the company. So it's a Merck-wide cloud transformation, not just the BlueSky team. >> Right, and of course, as you know, the C-suite's got to be behind all this. And we hear about how that it's now being driven in some cases, you know, these kind of transformations, whether it's from CEO level down the CTO and CIO and what have you. Fran, the experience part of your job. I just want to get to that real quick. So you know, how do you define that? >> Yeah. First of all, I'm delighted you asked. >> Okay. (laughs) >> And the focus on experience that my team's accountable for transcends, you know, our cloud journey. We have held for the last three years within my organization a priority that's focused on improving the experience that colleagues in our company have with workplace technology and services. And so I'd come into this role at the time and thought carefully, you know, about how to best title our organization in a way that would draw curiosity or inquisition. >> Sure. >> A very creative colleague that we have an opportunity to work with in our company suggested the term, and I loved it and ran with it. And today, it's, you know, still something that we spend a significant portion of cycles focused on. >> Well, it's a very clear signal, right? And a reminder as well that ultimately the experience whether it's your internal stakeholders or external, your customers, right, that you're delivering a very pleasant and efficient, and hopefully you said life-saving >> Yeah. >> experience as well. And I think that'd be a pretty good reminder for your team, isn't it? >> It is. >> "Hey, we're all part of the experience here." >> Yeah. >> Yeah. Right, so Sean, let's talk about some of the things that we've discussed here, branching out within Merck. >> Yep. >> You know, and making it a company effort, not just an IT effort. Right, now all of a sudden, you're into everybody's business and everybody is sharing this. I mean, is there buying that's necessary here? I mean, how do you bring that bunch along? You've all lived it, you know it. They're experiencing it for the first time. >> Yeah, it's a great question and it's one we get quite a bit walking the halls here at re:Invent. We're very lucky in that we do have, you mentioned earlier, top-down support, right? So when we're talking about moving to the cloud, we're not just running around the halls of the technology, you know, cubes of all the people that are sitting there at computers banging away every day. We're meeting with the CEO and a significant portion of the executive team, talking about how does our cloud journey underpin our business transformation aspirations? How do we speed up scientific research? How do we do clinical trials more effectively? How do we manufacture medicine more effectively, more reliably? Those are all underpinned by this technology transformation that we're embarking on sort of from the bottoms up, and meeting in the middle with the top-down strategic imperative to transform the business by leveraging technology. So that clear and unambiguous support coming from the C-suite at our company allows us to prioritize very aggressively and point at that mission to say, "Hey, we're not just here to talk about moving a server or two. We're here to talk about how we transform scientific research and discovery in the interest of our patients and delivering medicine more effectively, more quickly." So it's really, really interesting. >> Yeah, and so being on one side of that, you know, obviously you're dealing with people, whether chemists, scientists, whomever doing computational chemistry whatever it might be. They know their business and you're trying to integrate these new capabilities into their business, right? How do you do that? I mean, how do you know what they need and how do they tell you what they need when they don't know what you have? (laughs) >> That's quite a question. >> Yeah. I got there. >> Yeah, I mean, my initial thought is, you know, there has to be a compelling value to anybody getting impacted by this. And that's what we all work to do. So whether it's faster, less lead time, reducing cycle times, more reliability, innovation, I mean, there has to be something in it for them, and the work we're doing crosses that whole spectrum. So some of the efforts we have, "Hey, this is a cost-savings effort, this is for agility, this is for speed." So you know, it can't be just we're just doing this for the sake of moving of the cloud. There has some business value in it. And you know, Sean and the team have done a great job on kind of putting the rigor behind how do we describe that value so people then say, "Is that value really there or not? And does it really add up?" And I think that's been one of the keys to our success, is the work that Sean and members of his team have been doing is there's a pretty rigorous way we track our progress. And we've involved finance from day one in that. So having their buy in, you know, gives the whole set of results a lot of credibility. >> But tell me about that, Sean, about in terms of identifying value and quantifying it, in terms that a bottom line can orient to that. >> Yeah, absolutely. I mean, I've been at the cloud migration game myself personally for years, right? I got into this game back in 2011. The challenge of those programs has always been articulating the value associated with migrating stuff. It's easy to say, "I'm going to take a server. I'm going to move it from here to here. Then that difference is X, point at that." That's easy, everyone can understand that. But the labor efficiencies and the business value and the business transformation that comes with moving a capability from on-prem or from another hosting service to the cloud and transforming how we deliver, manage, operate, and scale those solutions, that's really where the power of this comes from, is business value tied to discrete actions, moving systems with a plan from one point to another point. And then being able to clearly articulate the value by implementing, as Ron mentioned, models we've created. So we've created actually financial calculation models to put dollars and cents next to labor efficiencies, time liberated, you know, the ability to deliver with higher velocity, higher quality, higher reliability. Those now have dollar values associated with them, which we're able to take, apply to our portfolio, and look for those opportunities that jump out as, "Hey, you know, that one's worth a million bucks. Let's prioritize that one. The ones that maybe have lower value or less business impact, you know, let's put those to the side and get to those later." So we can constantly demonstrate that not only are we raising our ability to deliver for our patients, but we're also delivering value back to the corporation to invest in other things that need focus and attention. >> Yeah, so talk about AWS and Accenture a little bit about, I mean, obviously big players with this. I'm assuming that interaction, maybe Fran, you know, talk about the partnership and again, how they have helped you get to the point that where you currently reside. >> Yeah, our partnership with both firms has been longstanding. That said, you know, what's changed in a market way happened a couple years ago when we originated this cloud acceleration program that we called BlueSky. We worked directly with Accenture to develop a comprehensive business case that, you know, fundamentally lined out the detail of our intention, how we would prosecute this work, and you know, among other things be crystal clear about the value at stake and how we would capture and realize that over time. So you know, through that lens, it's really taken a village with parties from all three firms, you know, to come together, prosecute this important work, but likewise, as I like to say, keep score, you know, in the context of value because ultimately, it's the one thing that we can talk about unambiguously with the program in the context of measurable results. >> Because of the work you do, obviously, you know, invaluable in many respects. But just the thought about cloud, and I know governance, security, compliance, all these things are critical. You know, how do those weigh in, in terms of considerations you have to make? And especially going forward as you develop new ideas, new things, ideas you're trying to bring to market, >> Yeah. >> I mean, how much does that play and the cloud and what exposures there might be? >> Yeah, it plays in quite a bit. And no matter what type of work we do, cloud or on-premise, I mean, security is of utmost importance. That's how we operate. Now what's interesting is when we think about in AWS, you know, AWS has the ability, they have the the scale and the learnings from multiple clients, right? So rather than a single company like us trying to figure out security on our own, we can benefit from what are all the lessons that they've learned that they bake back into their platform. So that's been a great benefit. But regardless of our partner, we'll always be very, a lot of scrutiny about security no matter what. And that's how we should operate. But the benefits of the platform within AWS, I mean, there's a lot of security intelligence built in from their experience, so that's- >> If I can add to that- >> Sure. >> Yeah. To build on prior remarks that Sean had articulated, this migration to the cloud, right, happens to be a catalyst for a broader transformation. One where we're fundamentally changing our ways of working. Ways that consider, you know, topics like security, compliance, documentation, regulatory requirements. And choosing to bake those in to these solutions from the onset rather than consider them as an appendage or an afterthought. So you know, the cloud is a really important part of this. You know, there's no mistake about it, but it's also a powerful catalyst for something that's broader. >> Tremendously more efficient, right? With our thinking and how we're going to plan and how we're going to execute. >> Yeah, and to build on that even more, we view it as an opportunity to raise the bar on our compliance, security, and regulatory readiness game. As we're touching applications across our portfolio, rearchitecting, leaning in on things like the well-architected framework and other things that AWS and Accenture bring to bear. We set the bar higher when we move things from where they are today to a new destination and introduce automation so that that uplift of control does not come at the cost of additional time or labor. It's simply we're raising the bar in ourselves. We're using this transformational opportunity to implement that change. Our customers are along for the ride and reap the benefits of the fact that, you know, we've raised the bar on ourselves, basically. >> Well, you said two years, so the first steps, and I'm sure the next ones are going to be just as successful. I really appreciate the time. Thanks for sharing that and for bringing so much expertise at the table. >> Thanks, John. >> Appreciate that, good to have you guys with us. >> Thanks. >> Talking about Merck and their cloud transformation. Love that word, we've been talking a lot about it this week. You're watching theCUBE, of course, here at the Executive Summit sponsored by Accenture. And theCUBE being, of course, the leader at tech coverage. (calm music)

Published Date : Nov 30 2022

SUMMARY :

And I mean, it is loaded with Merck time. and Experience, which I So fellows, thanks for being with us. And Ron, I'll let you where you start, where you need to finish. And as you know, our business I mean, and it never ends, (laughs) to the cloud with success, Right, and of course, as you know, I'm delighted you asked. and thought carefully, you know, And today, it's, you know, And I think that'd be of the experience here." about some of the things I mean, how do you bring that bunch along? and point at that mission to say, "Hey, and how do they tell you what they need of the keys to our success, in terms that a bottom and the business value that where you currently reside. it's the one thing that we Because of the work you you know, AWS has the ability, So you know, the cloud is a and how we're going to execute. of the fact that, you know, and I'm sure the next ones are good to have you guys with us. here at the Executive Summit

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Shigeo Kuwabara & Akiko Horie | AWS Executive Summit 2022


 

(calm tech music) >> Hello everyone. Welcome back to the AWS Cube coverage of Reinvent 2022. I'm John Fur, host of the Cube. We got a great interview segment here co-creating innovation with E.design. We got Shigeo Kuwabara who is with the President and the Chief Executive Officer E.design Insurance, and Akiko Hora Senior Managing Director Financial Services in Japan Inclusion and Diversity Lead at Accenture Japan. Thank you for joining me today. Thanks for coming on the cube. >> You're welcome, You're welcome, Thank you. >> I love this topic. E.design Create co-creating innovation automobile insurance with a product called "&e" It's cloud-based advanced automobile insurance system you guys built and called Safe Driving Together an initiative that uses data to reduce accidents. So great stuff. So let's get into it. Tell us about eDesign Insurance and your vision behind transforming to insurance tech company. Combining the technology, new type of automobile insurance for a digital age. >> Okay. With the pandemic of Covid 19 dissertation is accelerating at rapid pace everywhere. First, insurance were required to define the kind of easy to use, meaningful service they wanted to offer their customers. eDesign in collaboration with Accenture, sought to redefine the company's mission, vision and values by embracing the customer experience in a new way. While a customer's traditional view of automobile insurance is "just in case" Accenture and eDesign form the view that what customers really want is accident prevention. With a redefined objective of co-creating with customers not only peace of mind in the event of an accident, but also a world without accidents. ANDI developed a service that uses cutting edge digital technologies to create a safer and more secure car experience. >> Akiko talk about from insurance perspective and Accenture you know, we know about FinTech, you got InsureTech this is a segment that's growing rapidly, lot of data lot of new capabilities with the cloud. Can you share your thoughts on this new opportunity? >> This is a new innovation for many insurance client especially who owns, the traditional policyholder and the new generations. So they that give the new experience for customers, it makes a big change for the customer experience, and that eDesign is leading this experience in the world I think. >> Awesome. What are the key features of the advanced cloud-based automobile insurance system you guys call ANDI, and how does it work? >> The most advanced full crowd insurance system in the world and it embraces digital convenience to the fullest with a concept of creating safety with data; ANDI enables that initiative Safe Driving Together. It designs new initiative, aims to use available data to reduce the risk and causes of an accident, and to make society as a whole, as a whole safer and more secure. >> Why did you choose Accenture and AWS for this innovation? What unique value do they bring? >> Good question about Accenture. Accenture supported us in a wide range of areas including business, design, and IT. In addition to the industry knowledge embodiment of vision, and definition requirements. The PMO eliminated communication loss between the business and IT sites, and as a result the development was completed in a short period of time. In addition, Accenture studies in cutting edge digital technologies such as AI and data analysis is necessary to become an insured insurance company. And I appreciate Accenture's ability to provide such capabilities as well. >> Akiko talk about the IOT implementation here. A lot of data, a lot of design work. >> Yeah >> Take us through the experience. >> Okay. >> And how does Amazon and Accenture come together. >> ANDI and to support safe driving with eDesign insurance for the compact IOT car sensor with this size to put free charge for all of the policyholders to use a language mobile app. The system captures capture and monitors the drivers driving data, diagnosed and driving mood, and driving behavior which is safe or not and supports safe driving. In the event of the accident the system automatically detect the impact and can summarize the accident situation which is very difficult for the driver to recognize by themselves, and the location, location data. And many others and driver can then report the accident with single tap on their smartphone, very easy. And request assistance or repair shop on the spot. It's very safe and also very smooth for the giving the good experience for customers. >> I know Accenture has great expertise, that's one. But you have been in both involved in this smart market rollout. Can you explain that? The smart market rollout? >> Yeah, it's, it was very interesting that we we had the very smooth importation with eDesign and especially AWS allow us to give the open and crowd system to strong collaboration with many other ecosystem partners and many AI sensors and many IOT sensors opportunity. That gives us a lot of experience and give more opportunity for an eScape company like eDesign sample, so that can be more smooth and open implementation for the future. >> That's great rollout. You know we love this example of AWS Accenture eDesign co-creation. It reminds me of the big super cloud trend where industries can be refactored and and and scaled up. So how was ANDI built and what were the requirements driving the technical solution? >> We, we, we, we brought, we planned the architecture how that works for the future and especially Kuwabarason and the great leadership. He doesn't like something which already in the market and also which can be more fit for the future, the solution which fit for the future and maybe that can allow market customers to have big experience. That's why we, we choose open crowd, new trend, new digital trend and IOT or whatever. That gives our architecture definition, which can, lead by Kuwabarason with AWS with this crowd solution as well as with very packaged basis and also open connection with many other AI in the new technology. So that's why it can be more, this solution going to be grow more in the future and we will have more surprises in the future. Kuwabarason if you have some add add comment please >> Go Ahead. >> (laughing) >> Go ahead. What's your thought? Share? >> Thank, thank you Horason very good comment (laugh). So in collaboration with Accenture, I could develop our team's capability. Because we are working together like one team. That is a key success factor I think. >> Talk about the customer experience, and the results. What feedback have you received from your customers and what does the data say? >> Okay. One interesting feedback we receive is "I was always concerned about my wife's love of driving, but by showing her the ANDI driving score, I was able to point it out to her objectively, which was very helpful." That was a good feedback. In this way there are many positive feedback about the ability of visualize the safety, and danger of ones own driving. When I hear customers say that they can now drive more safely because they can objectively identify their bad driving through ANDI's safe driving program I feel very happy that we created ANDI >> Kiko your thoughts? >> Yeah, it's, it's very obvious that the customers likes how, customers likes the sensor saying how they are driving and they, they they sense my driving behavior is safe they are going to be confident. If not, they going to be very careful in the future that's happening. And maybe that can be aligned with insurance which eDesign is giving is more they feel more confident to drive in in many areas. And also that can give more opportunity that they can have more new type of insurance and new experience with the car. That's, that's kind of the interesting make up of power of the driving including the sensor would be happening. That can be good news for us and we can be more creative to think about new experience for customers. >> Congratulations for receiving the highest IT grand prize from the IT award sponsored by the Japan Institute of Information Technology. What's next for eDesign? Congratulations. What's next? How do you take it further, to change to transform the insurance business? >> Okay. I believe ANDI's strength lies in its data. By sharing data with our customers in a timely manner we contribute to their safe driving. We hope to work with customers to create a safe driving experience that is based on parts and that can be enjoyed like a game. Furthermore, we would like to create a society and community where accidents are less likely to occur. Based on the accumulated data in cooperation with local governments and other organizations. We'd like to contribute to the realization of such a safe and secure society by acquiring and analyzing solid data through ANDI On what kind of accidents occur and under what circumstances. >> Akiko Big awards. What's next? AWS, Accenture, eDesign take us through the vision. >> Yeah, it's, it's, I'm, I'm looking forward to do to do the next things and actually eDesign have not only auto insurance, they cover more home and also many others. So that can be giving the more safer opportunity for customers. They can leave their home very smoothly and even some disaster happening, they can escape very safely. Whatever happening in the family like childcare or maybe even their pet have some challenges we can take care of them and that's kind of many experience which which can align with eDesign's insurance. Most of the things we can give lot of safe and with data and also some IOT things and also insurance that's giving the more opportunity and something can truly resolve the social issue. That can be many opportunities. So that's why we have some plan. But we like to we like to keep a secret for the next future. >> Safe driving together, unlock benefits by gamifying and creating cloud-based advanced data, IOT sensors, encouraging drivers to work together to be safe. This is very, very an important story and thank you so much for sharing. eDesign, thank you for coming on. Congratulations on your awards, and transforming insurance tech. It should be fun. Not a hassle. Thank you for sharing. >> Thank you very much. >> Very much. >> Okay. eDesign co-creating innovation. This is the story of Cloud Next Generation. I'm John Fur the Cube, part of the AWS Reinvent 2022 Cube coverage here with Accenture. Thanks for watching. (calm tech music)

Published Date : Nov 30 2022

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(upbeat music) >> Hello, everybody. John Walls here, as we continue our coverage of AWS re:Invent here on theCUBE. And today we're going to go talk about the edge. What's out there on the edge, and how do we make sense of it? How do we use that data, and put it to work, and how do we keep it secure? Big questions, a lot of questions, and at the end of the day, what's the value prop for you, the customer, to make it all work? With me to talk about that is the Executive Vice President and GM of HPE GreenLake, Keith White. Keith, thanks for joining us here on theCUBE. >> John, thanks so much for having me. I really appreciate the opportunity, and excited to have a conversation today. >> Yeah, good. Well, let's just jump right in. First off, about the edge. There was a time, not so long ago, that it was kind of the Wild, Wild West out there, right? And we were trying to corral this fantastic reservoir of data that was streaming in from every which point, to the point now where we've realized how to refine that, how to develop that, how to reduce that complexity, to make that actionable. Talk about that journey a little bit, about where we were with edge technology maybe five, six years ago, and how we've migrated to the point we are now, where GreenLake is doing the great work that it is. >> You know, it's really a great question, John, cause I think there's a lot of different definitions of the edge, and what does "the edge" actually mean. And you're right, you know, there's been a pretty big transformation over the last few years, especially as we think about things like IoT, and just being able to engage with edge scenarios. But today what you're seeing is a lot of digital transformations happening with companies around three big megatrends. Cloud, meaning hybrid cloud, multi-cloud, data, and how you analyze that data to make decisions. And of course the edge, like we're talking through. And you know, frankly, with the edge, this is where we see the connectivity and security requirements really connect, because that edge information is so important, so critical to stay secure, but also it's creating that tremendous amount of data, as you mentioned. And so folks want to pull that into their cloud environment, and then make decisions and analyze that data, and plug it into the systems that they have overall. And you know, you're seeing companies like Auckland Transport, right? They basically do an AI-enhanced video feed to optimize their transport routes. And as you think about supply chain and the big challenges that we're seeing today, or you think about public transportation, and, you know, really providing information with respect to customers, but how do you take and get all that information pulled together, to then make decisions from these various edge points throughout? Or a company like ABB, who's been building the factory of the future, and doing, basically, you know, robotics-as-a-service, if you will, in order to really get that precision required at the edge in order to manufacture what they need to. So, massive uses around the edge, massive data getting created, and HPE GreenLake's a great spot for folks to help, you know, really take and leverage that data, to make those those decisions that are required. >> You know, one example in terms of case studies, or in terms of your client base that you talk about, you know, the automotive sector. >> Yeah. >> And I think about what's going on in terms of, with that technology, and I can't even imagine the kind of mechanics that are happening, right? In real time, at 60, 70 miles an hour, through all kinds of environmental conditions. So maybe just touch base, too, about what you're doing that's in terms of automotive, and what's going to be- >> No, it's great, John, yeah. >> (indistinct) then? >> Yeah, no, it's an awesome question, because, you know, we're working closely with a lot of the car manufacturers, as well as their sort of subsidiaries, if you will. So you look at autonomous driving, which is a great example. All that data has to come in and get analyzed. And if you look at a company like Volvo, they use a third party called Zenseact, who basically uses our high-performance compute to deliver it as a service through HPE GreenLake. They get all this massive parallel computing, modeling and simulations happening, with all this data coming in. And so what we've done with GreenLake is we give them that ability to easily scale up, to grow capacity, to get access to that hundreds of petabytes of data that you just mentioned. And then, you know, really basically take and make analytics and AI models and machine learning capabilities out of that, in order to really direct and fuel their mission to develop that next-generation software to support that autonomous driving capability. And so you're seeing that with a ton of different car manufacturers, as well as a lot of different other scenarios as well. So you're spot on. Automotive is a key place for that. >> You know, and too, the similarities here, the common thread, I think, threads, actually, plural, are very common. We think about access, right? We think about security, we think about control, we think about data, we think about analytics, so I mean, all these things are factoring in, in this extraordinarily dynamic environment. So is there a batting order, or a pecking order, in terms of addressing those areas of concern, or what kind of, I guess, learning curve have we had on that front? >> Well, I think you're, I think the key is, as I mentioned earlier, so you have this connectivity piece, and you've got to be able to connect and be available as required. That might be through SD-WAN, that might be Wi-Fi, that might be through a network access point, et cetera. But the key is that security piece of it as well. Customers need to know that that data and that edge device is very, very secure. And then you've got to have that connectivity back into your environment. And so what we've learned with HPE GreenLake, which, really what that does, is that brings that cloud experience, that public cloud experience, to customers in their data center, on-premise, in their colo, or at the edge, like we're talking about now, because there's a lot of need to keep that data secure, private, to make sure that it's not out in the public cloud and accessible, or those types of scenarios. So as I think about that piece of it, then it turns into, okay, how do we take all that data and do the analytics and the AI modeling that we talked about before? So it's a really interesting flow that has to happen. But what's happening is, people are really transforming their business, transforming their business models, as we just talked about. Factory of the future, you know, transportation needs. We're seeing it in different environments as well. Automotive, as you mentioned. But it's exciting, it's an exciting time, with all of this opportunity to really change not only how a business can run, but how we as consumers interact and engage with that. >> And then ultimately for the company, the value prop's got to be there. And you've already cited a number of areas. Is there one key metric that you look at, or one key deliverable that you look at here, in terms of what the ultimate value proposition is for a customer? >> You bet. I think the biggest thing is, you know, our customers and their satisfaction. And so, to date, you know, we have well over 60,000 customers on the platform. We have a retention rate of 96%, so a very, very small number that haven't stayed on the platform itself. And that means that they're satisfied. And what we're seeing also is a continued growth in usage for new environments, new workloads, new solutions that a customer is trying to drive as well. And so those are some of the key metrics we look at, with respect to our customer satisfaction, with their retention rate, with their usage capabilities, and then how we're growing that piece. And the interesting thing, John, is what we've learned is that HPE, as a company, traditionally was very hardware focused, it was a hardware vendor, transacting, responding to RFPs for compute, storage, and networking. With GreenLake now moving into the cloud services realm, we're now having conversations with customers as their partner. How do we solve this problem? How do we transform our business? How do we accelerate our growth? And that's been very exciting for us as a company, to really make that significant transformation and shift to being part of our customer's environments in a partnership type way. >> Yeah. And now you're talking about ecosystem, right? And what you're developing, not only in your partners, but also maybe what lessons you're learning in one respect you can apply to others. What's happening in that respect, in terms of the kind of universe that you're developing, and how applicable, maybe, one experience is to another client's needs? >> Yeah, no, it's a great question, because in essence, what happens is, we're sort of the tip of the spear, and we're partnering with customers to really go in deep, and understand how to utilize that. We can take that learning, and then push that out to our ecosystem, so that they can scale and they can work with more customers with respect to that piece of it. The second is, is that we're really driving into these more solution-oriented partners, right? The ISVs, the system integrators, the managed service providers, the colos, and even the hyperscalers, as we've talked about, and why we're here with our friends at AWS, is, customers are requiring a hybrid environment. They want to leverage tools up in the public cloud, but they also want the on-prem capabilities, and they need those to work together. And so this ecosystem becomes very dynamic with respect to, hey, what are we learning, and how do we solve our customer's problems together? I always talk about the ecosystem being 1 + 1 = 3 for our customers. It has to be that way, and frankly, our customers are expecting that. And that's why we're excited to be here today with our, as I said, our friends at AWS. >> And how does open play in all this too, right? Because, I mean, that provides, I assume, the kind of flexibility that people are looking for, you know, they, you know, having that open environment and making an opportunity available to them is a pretty big attractive element. >> It's huge, right? Yeah, as you know, people don't want to get locked in to a single technology. They don't want to get locked in to a single cloud. They don't want to have to, they want to be able to utilize the best of the best. And so maybe there's some tools in the public cloud that can really help from an analytics standpoint, but we can store and we can process it locally in our data center, at the edge, or in a colo. And so that best of both worlds is there, but it has to be an open platform. I have to be able to choose my container, my virtual machine, my AI tools, my, you know, capabilities, my ISV application, so that I have that flexibility. And so it's been fantastic for us to move into this open platform environment, to be able to have customers leverage the best and what's going to work best for them, and then partnering with those folks closely to, again, deliver those solutions that are required. >> You know, this is, I mean, it appears, as I'm hearing you talk about this, in terms of the partnerships you're creating, the ecosystem that you're developing, how that's evolving, lessons that you've learned, the attention you've paid to security and data analytics. I get the feeling that you've got a lot of momentum, right? A lot of things are happening here. You've got big mo on your side right now. (Keith laughs) Would you characterize it that way? >> Yeah, you know, there's a ton of momentum. I think what we're finding is, customers are requiring that cloud experience on-prem. You know, they're getting it from AWS and some of the other hyperscalers, but they want that same capability on-prem. And so what we've seen is just a dramatic increase with respect to usage, customers. We're adding hundreds of customers every quarter. We're growing in the triple digits, three of the last four quarters. And so, yeah, we're seeing tremendous momentum, but as I said, what's been most important is that relationship with the customer. We've really flipped it to becoming that partner with them. And again, bringing that ecosystem to bear, so that we can have the best of all worlds. And it's been fantastic to see, and frankly, the momentum's been tremendous. And we're in a quiet period right now, but you'll see what our earnings are here in the next couple weeks, and we can talk more details on that, but in the past, as we talked about, we've grown, you know, triple digits three of the last four quarters, and, you know, well over $3 billion, well over $8 billion of total contract value that we've implemented to date. And, you know, the momentum is there, but, again, most importantly is, we're solving our customers' problems together, and we're helping them accelerate their business and their transformation. >> I know you mentioned earnings, the report's a few weeks away. I saw your smile, that big old, you know, grin, so I have a feeling the news is pretty good from the HPE GreenLake side. >> It is. We're excited about it. And you know, again, this really is just a testament to the transformation we've made as a company in order to move towards those cloud services. And you know, you'll hear us talk about it as the core of what we're doing as a company, holistically, again, because this is what customers are requiring, this is what our ecosystem is moving towards. And it's been really fun, it's been a great, great ride. >> Excellent. Keith, appreciate the time, and keep up the good work, and I'm going to look for that earnings report here in a few weeks. >> Awesome. Thanks so much, John. Take good care. Appreciate it. >> You bet, you too. Keith White joining us here, talking about HPE GreenLake, and defining what they're doing in terms of bringing the edge back into the primary systems for a lot of companies. So, good work there. We'll continue our coverage here in theCUBE. You're watching theCUBE coverage of AWS re:Invent. And I'm John Walls. (lively music)

Published Date : Nov 29 2022

SUMMARY :

and at the end of the day, and excited to have a conversation today. to the point we are now, to help, you know, really base that you talk about, And I think about And so what we've done with GreenLake the similarities here, and do the analytics and the AI modeling that you look at here, And so, to date, you know, in terms of the kind of and they need those to work together. you know, having that open environment And so that best of both worlds is there, in terms of the partnerships but in the past, as we talked about, big old, you know, grin, And you know, again, this and I'm going to look for Take good care. in terms of bringing the edge

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(upbeat music) >> Hello, everyone. Welcome to theCUBE's coverage here at AWS re:Invent 2022. This is the Executive Summit with Accenture. I'm John Furrier, your host of theCUBE with two great guests coming on today, really talking about the future, the role of humans. Radically human is going to be the topic. Paul Daugherty, the group Chief Executive Technology and CTO at Accenture. And Jim Wilson, Global Managing Director of Thought Leadership and Technology Research, Accenture. Gentlemen, thank you for coming on theCUBE for this conversation around your new hit book, "Radically Human." >> Thanks, John. It's great to be with you and great to be present at re:Invent. >> We've been following you guys for many, many years now, over a decade. You always have the finger on the pulse. I mean, and as these waves come in, it's really important to understand impact. And more than ever, we're in this, I call it the systems thinking, revolution is going on now where things have consequences and machines are now accelerating their role. Developers are becoming the front lines of running companies, seeing a massive shift. This new technology is transforming the business and shaping our future as as humans. And so I love the book, very, very strong content, really right on point. What was the motivation for the book? And congratulations, but I noticed you got the structure, part one and part two, this book seems to be packing a big punch. What was the motivation, and what was some of the background in putting the book together? >> That's a great question, John. And I'll start, and then, Jim, my co-author and colleague and partner on the book can join in too. If you step back from the book itself, we'd written a first book called "Human + Machine", which focused a lot on artificial intelligence and talked about the potential and future of artificial intelligence to create a more human future for us with the human plus machine pairing. And then when we started working on the next book, it was the COVID era. COVID came on line as we were writing the book. And that was causing really an interesting time in technology for a lot of companies. I mean, think back to what you were doing. Once COVID hit, every company became more dependent on technology. Technology was the lifeline. And so Jim and I got interested in what the impacts of that were on companies, and what was different from the first research we had done around our first book. And what we found, which was super interesting, is that pre-pandemic, the leading companies, the digital leaders that were applying cloud data, AI, and related technologies faster, we're outperforming others by a factor of 2x. And that was before the pandemic. After the pandemic, we redid the research and the gap widened into 5x. And I think that's played a lot into our book. And we talk about that in the opening of our book. And the message there is exactly what you said is technology is not just the lifeline from the pandemic, but now technology is the heart and soul of how companies are driving innovation, how they're responding to global crises around inflation, energy, supply chain crisis because of the war in Ukraine, et cetera. And companies need the technology more than ever. And that's what we're writing about in "Radically Human." And we're taking a step beyond our previous book to talk about what we believe is next. And it's really cloud, data and AI, and the metaverse that signal out as three trends that are really driving transformative change for companies. In the first part of the book, to your question on the structure, talks about the roadmap to that. We talked about the ideas framework, five areas where you need to change your thinking, flip your assumptions on how to apply technology. And then the second part of the book talks about the differentiators that we believe are going to set companies apart as they look to implement this technology and transform their companies for the future. >> Jim, weigh in on this flipping the script, flipping the assumptions. >> You used a really important word there and that is systems. I think when we think about artificial intelligence, and when Paul and I have now talking to companies, a lot of executives think of AI as a point solution. They don't think about AI in terms of taking a systems approach. So we were trying to address that. All right, if you're going to build a roadmap, a technology roadmap for applying intelligent technologies like artificial intelligence, how do you take a holistic systematic view? And that's really the focus of the first section of the book. And then as Paul mentioned, how do you take those systems and really differentiate it using your talent, focusing on trust, experiences and sustainability? >> I like how it reads. It's almost like a masterclass book because you set the table. It's like, 'cause people right now are like in the mode of what's going on around me? I've been living through three years of COVID. We're coming out the other side. The world looks radically different. Humans are much more important. Automation's great, but people are finding out that the human's key, but people are trying to figure out where am I today. So I think the first part really to me hits home. Like, here's the current situation and then part two is here's how you can get better. And it's not just about machines, machines, machines and automation, automation, automation. We're seeing examples where the role of the human, the person in society, whether it's individually or as part of a group, are really now key assets in that kind of this new workforce or this new production system or society. >> Yeah. And just to take a couple examples from the book and highlight that, I think you're exactly right. And that's where "Radically Human", the title came from. And what's happening with technology is that technology itself is becoming more human like in its capability. When you think about the power of the transformer technologies and other things that we're reading about a lot. And the whole hypothesis or premise of the book I should say, is that the more human like the technology is, the more radically human or the more radical the human potential improvement is, the bigger the opportunity. It's pairing the two together rather than, as you said, just looking at the automation or the machine side of it. That's really the radical leap. And one thing Jim and I talked about in context of the book is companies really often haven't been radical enough in applying technology to really get to dramatic gains that they can get. Just a couple examples from the ideas framework, the I in IDEAS. The ideas framework is the first part of the book. The five areas to flip your assumptions. The I stands for intelligence and we're talking about more human and less artificial in terms of the intelligence techniques. Things like common sense learning and other techniques that allow you to develop more powerful ways of engaging people, engaging humans in the systems that we build using the kind of systems thinking that Jim mentioned. And things like emotional AI, common sense AI, new techniques in addition to machine, the big data driven machine learning techniques, which are essential to vision and solving big problems like that. So that's just an example of how you bring it together and enable that human potential. >> I love the idea, go ahead Jim. >> I was going to say we've been used to adapting to technology, and contorting our fingers to keyboards and so on for a long time. And now we're starting to see that technology is in fact beginning to adapt to us and become more natural in many instances. One point that we make is now in the human technology nexus, in fact, the human is in the ascended. That's one of the big ideas that we try to put out there in this book. >> I love the idea of flipping the script, flipping the assumptions, but ideas framework is interesting. I for intelligence, D for data, E for expertise, A for architecture, S for strategy. Notice the strategies last. Normally in the old school days, it's like, hey, strategy first and execution. Really interesting how you guys put that together. It feels like business is becoming agile and iterative and how it's going to be forming. Can you guys, I mean that's my opinion, but I think observing how developers becoming much more part of the app. I mean, if you take digital transformation to its conclusion, the application is the company, It's not a department serving the business, it is the business, therefore developers are running the business, so to speak. This is really radical. I mean, this is how I'm seeing it. What's your reaction to that? Do you see similar parallels to this transformation if you take it down to a conclusion and strategy is just what you do after you get the outcomes you need? What's your reaction to that? >> Yeah, I think one of the most lasting elements of the book might be that chapter on strategy in my opinion, because you need to think about it differently. The old way of doing strategy is dead. You can't do it the way you used to do it. And that's what we tried to lay out with the S in IDEAS, the strategy. The subtitle that chapter is we're all technology companies now. And if you're a technology driven company, the way you need to think about and every company is becoming, that's what I hear when I talk to these suites and CEOs and boards, is everybody's recognizing the essential role that technology plays and therefore they need to master technology. Well, you need to think about strategy differently then because of the pace of technology innovation. And so you need to throw out the old way of doing it. We suggest three new archetypes of how to do strategy that I think are really important. It's about continuous strategy in all cases. An example is one of the techniques we talk about, forever beta, which is, think about a Tesla or companies that it's never quite done. They're always improving and the product is designed to be connected and improving. So it changes along the product and the strategy along how you deploy it to consumers changes as you go. And that's an example of a very different approach to strategy that we believe is essential to consider as you look at the future. Yeah, those multi-month strategy sessions might play out over two or three quarters of going away. And strategy and execution are becoming almost simultaneous these days as Paul was saying. >> It's interesting because that's the trend you're seeing with more data, more automation, but the human plays a much critical role. And just aside on the Tesla example, is well documented. I think I wrote about in a post just this week that during the model three, Elon wanted full automation and had to actually go off scripts and get to humans back in charge 'cause it wasn't working properly. Now they have a balance. But that brings up to part two, which I like, which is this human piece of it. We always talk about skills gaps, there's not enough people to do this, that and the other thing. And talent was a big part of that second half, trust, talent, experiences. That's more of the person's role, either individually as part of a collective group. Is talent the scarce resource now where that's the goal, that's the key 'cause it all could point to that in a way. Skills gap points to, hey, humans are valuable. In fact the value's going up if it's properly architected. What's your reaction to that, guys? Because I think that's something that is not, kind of nuanced point, but it's a feature, not a bug maybe, I don't know. What's your thoughts? >> Yeah, go ahead Jim. >> I was going to say it, we're dramatically underestimating the amount of focus we need to put on talent. That's why we start off that second part of the book, really zooming in on talent. I think you might think that for every hundred dollars that you put into a technology initiative, you might put 50 or 75 into re-skilling initiatives to really compliment that. But what we're seeing is companies need to be much more revolutionary in their focus on talent. We saw economic analysis recently that pointed out that for every $1 you spend on technology, you are likely going to need to spend about $9 on intangible human capital. That means on talent, on getting the best talent, on re-skilling and on changing processes and work tasks. So there's a lot of work that needs to be done. Really that's human focus. It's not just about adopting the technology. Certainly the technology's critical, but we're underestimating the amount of focus that needs to go into the talent factors. >> That's a huge point. >> And I think some of the elements of talent that become really critical that we talked about in the book are becoming a talent creator. We believe the successful companies of the future are going to be able not just to post a job opening and hire people in because there's not going to be enough. And a lot of the jobs that companies are creating don't exist 'cause the technology changing so fast. So the companies that succeed are going to know how to create talent, bring in people, apprentices and such, and shape to tale as they go. We're doing a significant amount of that in our own company. They're going to be learning based organizations where you'll differentiate, you'll get the best employees if you provide better learning environments because that's what employees want. And then democratizing access to technology. Things like Amazon's Honeycode is an example, low-code/no-code development to spread development to wider pools of people. Those types of things are really critical going forward to really unlock the talent potential. And really what you end up with is, yeah, the human talent's important, but it's magnified and multiplied by the power of people, giving them in essence superpowers in using technology in new ways. >> I think you nailed it, that's super important. That point about the force multiplier when you put things in combination, whether it's group constructs, two pizza teams flexing, leveraging the talent. I mean, this is a new configuration. You guys are nailing it there. I love that piece. And I think groups and collectives you're going to start to see a lot more of that. But again, with talent comes trust when you start to have these ephemeral and or forming groups that are forming production systems or experiences. So trust comes up a lot. You guys see the metaverse as an important part there. Obviously metaverse is a pretext to the virtual world where we're going to start to create these group experiences and create new force multipliers. How does the metaverse play into this new radically human world, and what does it mean for the future of business? >> Yeah, I think the metaverse is radically misunderstood to use the word title when we're not with the title of our book. And we believe that the metaverse does have real big potential, massive potential, and I think it'll transform the way we think about digital more so than we've changed our thinking on digital in the last 10 years. So that's the potential of the metaverse. And it's not just about the consumer things, it's about metaverse and the enterprise. It's about the new products you create using distributed ledger and other technologies. And it's about the industrial metaverse of how you bring digital twins and augmented workers online in different ways. And so I believe that it has tremendous potential. We write about that in the book and it really takes radically human to another level. And one way to think about this is cloud is really becoming the operating system of business. You have to build your enterprise around the cloud as you go forward. That's going to shape the way you do business. AI becomes the insight and intelligence in how you work, infused with the human talent and such as we said. And the metaverse then reshapes the experience layers. So you have cloud, AI building on top of this metaverse providing a new way to generate experiences for employees, citizens, consumers, et cetera. And that's the way it unfolds, but trust becomes more important because just as AI raises new questions around trust, every technology raises new questions around trust. The metaverse raises a whole new set of questions. And in the book we outline a five-part framework or five essential parts of the framework around how you establish trust as you implement these new technologies. >> Yeah, we're seeing that about three quarters of companies are really trying to figure out trust, certainly with issues like the metaverse more broadly across their IT so they're focusing on security and privacy, transparency, especially when you're talking about AI systems, explainability. One of the more surprising things that we learned when doing the book, when we were doing the research is that we saw that increasingly consumers and employees want systems to be informed by a sense of humanity. So one company that we've been looking at that's been developing autonomous vehicles, self-driving car systems, they're actually training the system by emulating human behavior. So turning the cameras on test drivers to see how they learn and then training the AI using that sense of humanity 'cause other drivers on the road find human behavior more trustworthy. And similarly, that system is also using explainable AI to actually show which human behaviors that AI system is learning from. Some really interesting innovations happening in that trust space. John. >> Jim, I think you bring up a great point that's worth talking more about. Because you're talking about how human behaviors are being put into the design of new things like machines or software. And we're living in this era of cloud scale, which is compressing this transformation timeline and we've been calling it supercloud, some call it multi-cloud, but it's really a new thing happening where you're seeing an acceleration of the transformation. We think it's going to happen much faster in the next five to 10 years. And so that means these new things are emerging, not just, hey, I'm running a virtual event with chat and some video. It's group behavior, it's groups convening, talking, getting things done, debating, doing things differently. And so this idea of humans informing design decisions or software with low-code/no-code, this completely changes strategy. I mean this is a big point of the book. >> Yeah, no, I go back to one of the, the E in the IDEAS framework is expertise. And we talk about from machine learning to machine teaching, which is exactly that. Machine learning is maybe humans tag data and stuff and feed into algorithms. Machine teaching is how do you really leverage the human expertise in the systems that you develop with AI. One of the examples we give is one of the large consumer platforms that uses human designers to give the system a sense of aesthetic design and product design. A very difficult thing, especially with changing fashion interest and everything else to encode in algorithms and to even have AI do, even if you have fast amounts of data, but with the right human insight and human expertise injected in, you can create amazing new capability that responds to consumers in a much more powerful way. And that's an example of what you just said, John, bringing the two together. >> Well, yeah, it's interesting. I want to to get your thoughts as we get wrap up here soon. How do you apply all these human-centric technologies to the future of business? As you guys talk to leaders in the enterprise of their businesses, as they look at the horizon, they see the the future. They got to start thinking about things like generative AI and how they can bring some of these technologies to the table. We were talking about if open source continues to grow the way it's going, there might not be any code to write, it just writes itself at some point. So you got supply chain issues with security. These are new things you guys are hitting in the book where these are new dynamics, new power dynamics in how things get built. So if you're a business owner and leader, this is a new opportunity, a challenge certainly that is an opportunity. How do you apply all this stuff for business? >> I'll go first then Jim can add in. But the first thing I think starts with recognizing the role that technology does play and investing accordingly in it. So the right technology talent, rethinking the way you do strategy as we talked about earlier and recognizing how you need to build a foundation. That's why the fact you're at re:Invent is so important because companies are, again, rebuilding that operating system of their business in the cloud. And you need that as the foundation to go forward, to do, to build the other types of capabilities. And then I think it's developing those talent systems as well. Do you have the right talent brand? Are you attracting the right employees? Are you developing them in the right way so that you have the right future talent going forward? And then you marry the two together and that's what gives you the radically human formula. >> Yeah. When we were developing that first part of the book, Paul and I did quite a bit of research, and Paul kind of alluded to that research earlier, but one of the things that we saw in really the first year of the pandemic was that there was a lot of first time adoption of intelligent technologies like artificial intelligence. One statistic is that 70% of companies that had never tried AI before went ahead and tried it during the pandemic. So first time adoption rates were way up, but the thing is companies were not trying to do it themselves and to necessarily build an AI department. They were partnering and it's really important to find a partner, often a cloud partner as a way to get started, start small scale, and then scale up doing experiments. So that was one of the key insights that we had. You don't need to do it all yourself. >> If you see the transformation of just AWS, we're here at re:Invent, since we've been covering the events since 2013, every year there's been a thematic thing. It was startups, enterprise, now builders, and now change your company. This year it's continuing that same thing where you're starting to see new things happen. It's not just lift and shift and running a SaaS application on the cloud. People are are changing and refactoring and replatforming categorical applications in for this new era. And we're calling it supercloud, superservices, superapps, 'cause they're different. They're doing different things in leveraging large scale CapEx, large scale talent pools, or talent pools in certain ways. So this is real, something's happening here and we've been talking about it a lot lately. So I have to ask you guys, how does a company know if they're radical enough? Like what is radical? How can I put a pin in that? It's like take a temperature or we like radical enough, what some tell signs can you guys share for companies that are really leaning into this new next inflection point because there are new things happening? How do you know if you're you're pushing the envelope radical enough to take advantage? >> Yeah, I think one. >> You can go ahead, Paul. >> Yeah, I was going to say one of the tests is the impact on your business. You have to start by looking at all this in the context of your business, and is it really taking you to another level? You said it perfectly, John, it used to be we used to talk about migration and workloads to the cloud and things like that. That's still something you need to do. But now our focus with a lot of our customers is on how do you innovate and grow your business in the cloud? What's the platform that you're using for your new digital products and services you're offering to your consumers. I mean it is the business and I think that's the test whether you're being radical enough is on the one hand, are you really using the technology to drive differentiation and real growth and change in your business? And are you equipping people, your human talent with the capabilities they need to perform in very different ways? And those are the two tests that I would give. >> Totally agree. >> Interesting enough, we love this topic and you guys, again, the book is spot on. Very packs of big punch on content, but very relevant in today. And I think one of the things we're looking at is that people who do things differently take advantage of some of these radical approaches like IDEAS, your framework, and understand where they are and what's available and what's coming around the corner. They stand out in the pack or create new business opportunities because the CapEx is taken care of. Now you got your cloud, I mean you're building clouds on top of clouds or something's happening. I think you see it, look at like companies like Snowflake, it's a data warehouse on the cloud. What does that mean? They didn't build a cloud, they used Amazon. So you're starting to see these new things pop up. >> Yeah and that's a good example. And it sounds like a simple thing, data warehouse in the cloud, but the new business capability that a technology like that allows and the portability of being able to connect and use data across cloud environments and such is tremendously powerful. And I think that's why, you talk about companies doing things differently, that's why it's great, again, that you're at re:Invent. If you look at the index of our book, you'll see AWS mentioned a number of times 'cause we tell a lot of customer company stories about how they're leveraging AWS capabilities in cloud and AI to really do transformative things in their business. And I think that's what it's all about. >> Yeah, and one of the things too in the book, it's great 'cause it has the systems thinking, it's got really relevant information, but you guys have seen the movie before. I think one of the wild cards in this era is global. We're global economy, you've got regions, you've got data sovereignty, you're seeing all kinds of new things emerging. Thoughts on the global impact 'cause you take your book and you overlay that to business, like you got to operate all over the world as a human issue, as a geography issue. What's your guys take on the global impact? >> Well that's why you got to think about cloud as one technology. We talked about in the book and cloud is, I think a lot of people think, well, clouds, it's almost old news. Maybe it's been around for a while. As you said, you've been going to re:Invent since 2013. Cloud is really just getting started. And it's 'cause the reasons you said, when you look at what you need to do around sovereign cloud capability if you're in Europe. For many companies it's about multi-cloud capabilities that you need to deploy differently in different regions. And they need to, in some cases for good reason, they have hybrid cloud capability that they match on their own. And then there's the edge capability which comes into play in different ways. And so the architecture becomes very complex and we talk the A in IDEAS is architecture. We talk about all this and how you need to move from the old conception of architecture, which was more static and just modularity was the key thing you thought about. It's more the idea of a living system, of living architecture that's expanding and is what's much more dynamic. And I think that's the way you need to think about it as you manage in a global environment today with the pace of technology advancement. >> Yeah, the innovation is here. It's not stopping. How do you create some defacto standards while not stunting the innovation is going to be a big discussion as these new flipped assumptions start to generate more activity. It's going to be very interesting to watch. Gentlemen, thank you so much for spending the time here on theCUBE as we break down your new book, "Radically Human" and how business leads can flip the script on their business assumptions and put ideas and access to work. This is a big part of the cloud show at re:Invent. Thanks so much for sharing and congratulations on a great book. >> Thanks, John. And just one point I'd add is that one of the things we do talk about in talent is the need to reskill talent. People who need to be relevant in the rapidly changing future. And that's one area where I think we all as institutions, as communities and individuals need to do more is to help those that need to reskilling. And the final point I mentioned is that we've mentioned at the end of the book that all proceeds from the book are being donated to NGOs and nonprofits that are focused on reskilling those who need a skill refresh in light of the radically human change in technology that's happening. >> Great. Buy the book. Proceeds go to a great cause and it's a very relevant book. If you're in the middle of this big wave that's coming. this is a great book. There's a guidepost and also give you some great ideas to reset, reflip the scripts, refactor, replatform. Guys, thanks for coming on and sharing. I really appreciate it. Again, congratulations. >> Thanks, John. >> Thanks, John. Great discussion. >> You're watching theCUBE here covering the executive forum here at AWS re:Invent '22. I'm John Furrier, you're host with Accenture. Thanks for watching. (gentle music)

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Peter MacDonald & Itamar Ankorion | AWS re:Invent 2022


 

(upbeat music) >> Hello, welcome back to theCUBE's AWS RE:Invent 2022 Coverage. I'm John Furrier, host of theCUBE. Got a great lineup here, Itamar Ankorion SVP Technology Alliance at Qlik and Peter McDonald, vice President, cloud partnerships and business development Snowflake. We're going to talk about bringing SAP data to life, for joint Snowflake, Qlik and AWS Solution. Gentlemen, thanks for coming on theCUBE Really appreciate it. >> Thank you. >> Thank you, great meeting you John. >> Just to get started, introduce yourselves to the audience, then going to jump into what you guys are doing together, unique relationship here, really compelling solution in cloud. Big story about applications and scale this year. Let's introduce yourselves. Peter, we'll start with you. >> Great. I'm Peter MacDonald. I am vice president of Cloud Partners and business development here at Snowflake. On the Cloud Partner side, that means I manage AWS relationship along with Microsoft and Google Cloud. What we do together in terms of complimentary products, GTM, co-selling, things like that. Importantly, working with other third parties like Qlik for joint solutions. On business development, it's negotiating custom commercial partnerships, large companies like Salesforce and Dell, smaller companies at most for our venture portfolio. >> Thanks Peter and hi John. It's great to be back here. So I'm Itamar Ankorion and I'm the senior vice president responsible for technology alliances here at Qlik. With that, own strategic alliances, including our key partners in the cloud, including Snowflake and AWS. I've been in the data and analytics enterprise software market for 20 plus years, and my main focus is product management, marketing, alliances, and business development. I joined Qlik about three and a half years ago through the acquisition of Attunity, which is now the foundation for Qlik data integration. So again, we focus in my team on creating joint solution alignment with our key partners to provide more value to our customers. >> Great to have both you guys, senior executives in the industry on theCUBE here, talking about data, obviously bringing SAP data to life is the theme of this segment, but this reinvent, it's all about the data, big data end-to-end story, a lot about data being intrinsic as the CEO says on stage around in the organizations in all aspects. Take a minute to explain what you guys are doing as from a company standpoint. Snowflake and Qlik and the solutions, why here at AWS? Peter, we'll start with you at Snowflake, what you guys do as a company, your mission, your focus. >> That was great, John. Yeah, so here at Snowflake, we focus on the data platform and until recently, data platforms required expensive on-prem hardware appliances. And despite all that expense, customers had capacity constraints, inexpensive maintenance, and had limited functionality that all impeded these organizations from reaching their goals. Snowflake is a cloud native SaaS platform, and we've become so successful because we've addressed these pain points and have other new special features. For example, securely sharing data across both the organization and the value chain without copying the data, support for new data types such as JSON and structured data, and also advance in database data governance. Snowflake integrates with complimentary AWS services and other partner products. So we can enable holistic solutions that include, for example, here, both Qlik and AWS SageMaker, and comprehend and bring those to joint customers. Our customers want to convert data into insights along with advanced analytics platforms in AI. That is how they make holistic data-driven solutions that will give them competitive advantage. With Snowflake, our approach is to focus on customer solutions that leverage data from existing systems such as SAP, wherever they are in the cloud or on-premise. And to do this, we leverage partners like Qlik native US to help customers transform their businesses. We provide customers with a premier data analytics platform as a result. Itamar, why don't you talk about Qlik a little bit and then we can dive into the specific SAP solution here and some trends >> Sounds great, Peter. So Qlik provides modern data integration and analytics software used by over 38,000 customers worldwide. Our focus is to help our customers turn data into value and help them close the gap between data all the way through insight and action. We offer click data integration and click data analytics. Click data integration helps to automate the data pipelines to deliver data to where they want to use them in real-time and make the data ready for analytics and then Qlik data analytics is a robust platform for analytics and business intelligence has been a leader in the Gartner Magic Quadrant for over 11 years now in the market. And both of these come together into what we call Qlik Cloud, which is our SaaS based platform. So providing a more seamless way to consume all these services and accelerate time to value with customer solutions. In terms of partnerships, both Snowflake and AWS are very strategic to us here at Qlik, so we have very comprehensive investment to ensure strong joint value proposition to we can bring to our mutual customers, everything from aligning our roadmaps through optimizing and validating integrations, collaborating on best practices, packaging joint solutions like the one we'll talk about today. And with that investment, we are an elite level, top level partner with Snowflake. We fly that our technology is Snowflake-ready across the entire product set and we have hundreds of joint customers together and with AWS we've also partnered for a long time. We're here to reinvent. We've been here with the first reinvent since the inaugural one, so it kind of gives you an idea for how long we've been working with AWS. We provide very comprehensive integration with AWS data analytics services, and we have several competencies ranging from data analytics to migration and modernization. So that's our focus and again, we're excited about working with Snowflake and AWS to bring solutions together to market. >> Well, I'm looking forward to unpacking the solutions specifically, and congratulations on the continued success of both your companies. We've been following them obviously for a very long time and seeing the platform evolve beyond just SaaS and a lot more going on in cloud these days, kind of next generation emerging. You know, we're seeing a lot of macro trends that are going to be powering some of the things we're going to get into real quickly. But before we get into the solution, what are some of those power dynamics in the industry that you're seeing in trends specifically that are impacting your customers that are taking us down this road of getting more out of the data and specifically the SAP, but in general trends and dynamics. What are you hearing from your customers? Why do they care? Why are they going down this road? Peter, we'll start with you. >> Yeah, I'll go ahead and start. Thanks. Yeah, I'd say we continue to see customers being, being very eager to transform their businesses and they know they need to leverage technology and data to do so. They're also increasingly depending upon the cloud to bring that agility, that elasticity, new functionality necessary to react in real-time to every evolving customer needs. You look at what's happened over the last three years, and boy, the macro environment customers, it's all changing so fast. With our partnerships with AWS and Qlik, we've been able to bring to market innovative solutions like the one we're announcing today that spans all three companies. It provides a holistic solution and an integrated solution for our customer. >> Itamar let's get into it, you've been with theCUBE, you've seen the journey, you have your own journey, many, many years, you've seen the waves. What's going on now? I mean, what's the big wave? What's the dynamic powering this trend? >> Yeah, in a nutshell I'll call it, it's all about time. You know, it's time to value and it's about real-time data. I'll kind of talk about that a bit. So, I mean, you hear a lot about the data being the new oil, but it's definitely, we see more and more customers seeing data as their critical enabler for innovation and digital transformation. They look for ways to monetize data. They look as the data as the way in which they can innovate and bring different value to the customers. So we see customers want to use more data so to get more value from data. We definitely see them wanting to do it faster, right, than before. And we definitely see them looking for agility and automation as ways to accelerate time to value, and also reduce overall costs. I did mention real-time data, so we definitely see more and more customers, they want to be able to act and make decisions based on fresh data. So yesterday's data is just not good enough. >> John: Yeah. >> It's got to be down to the hour, down to the minutes and sometimes even lower than that. And then I think we're also seeing customers look to their core business systems where they have a lot of value, like the SAP, like mainframe and thinking, okay, our core data is there, how can we get more value from this data? So that's key things we see all the time with customers. >> Yeah, we did a big editorial segment this year on, we called data as code. Data as code is kind of a riff on infrastructure as code and you start to see data becoming proliferating into all aspects, fresh data. It's not just where you store it, it's how you share it, it's how you turn it into an application intrinsically involved in all aspects. This is the big theme this year and that's driving all the conversations here at RE:Invent. And I'm guaranteeing you, it's going to happen for another five and 10 years. It's not stopping. So I got to get into the solution, you guys mentioned SAP and you've announced the solution by Qlik, Snowflake and AWS for your customers using SAP. Can you share more about this solution? What's unique about it? Why is it important and why now? Peter, Itamar, we'll start with you first. >> Let me jump in, this is really, I'll jump because I'm excited. We're very excited about this solution and it's also a solution by the way and again, we've seen proven customer success with it. So to your point, it's ready to scale, it's starting, I think we're going to see a lot of companies doing this over the next few years. But before we jump to the solution, let me maybe take a few minutes just to clarify the need, why we're seeing, why we're seeing customers jump to do this. So customers that use SAP, they use it to manage the core of their business. So think order processing, management, finance, inventory, supply chain, and so much more. So if you're running SAP in your company, that data creates a great opportunity for you to drive innovation and modernization. So what we see customers want to do, they want to do more with their data and more means they want to take SAP with non-SAP data and use it together to drive new insights. They want to use real-time data to drive real-time analytics, which they couldn't do to date. They want to bring together descriptive with predictive analytics. So adding machine learning in AI to drive more value from the data. And naturally they want to do it faster. So find ways to iterate faster on their solutions, have freedom with the data and agility. And I think this is really where cloud data platforms like Snowflake and AWS, you know, bring that value to be able to drive that. Now to do that you need to unlock the SAP data, which is a lot of also where Qlik comes in because typical challenges these customers run into is the complexity, inherent in SAP data. Tens of thousands of tables, proprietary formats, complex data models, licensing restrictions, and more than, you have performance issues, they usually run into how do we handle the throughput, the volumes while maintaining lower latency and impact. Where do we find knowledge to really understand how to get all this done? So these are the things we've looked at when we came together to create a solution and make it unique. So when you think about its uniqueness, because we put together a lot, and I'll go through three, four key things that come together to make this unique. First is about data delivery. How do you have the SAP data delivery? So how do you get it from ECC, from HANA from S/4HANA, how do you deliver the data and the metadata and how that integration well into Snowflake. And what we've done is we've focused a lot on optimizing that process and the continuous ingestion, so the real-time ingestion of the data in a way that works really well with the Snowflake system, data cloud. Second thing is we looked at SAP data transformation, so once the data arrives at Snowflake, how do we turn it into being analytics ready? So that's where data transformation and data worth automation come in. And these are all elements of this solution. So creating derivative datasets, creating data marts, and all of that is done by again, creating an optimized integration that pushes down SQL based transformations, so they can be processed inside Snowflake, leveraging its powerful engine. And then the third element is bringing together data visualization analytics that can also take all the data now that in organizing inside Snowflake, bring other data in, bring machine learning from SageMaker, and then you go to create a seamless integration to bring analytic applications to life. So these are all things we put together in the solution. And maybe the last point is we actually took the next step with this and we created something we refer to as solution accelerators, which we're really, really keen about. Think about this as prepackaged templates for common business analytic needs like order to cash, finance, inventory. And we can either dig into that a little more later, but this gets the next level of value to the customers all built into this joint solution. >> Yeah, I want to get to the accelerators, but real quick, Peter, your reaction to the solution, what's unique about it? And obviously Snowflake, we've been seeing the progression data applications, more developers developing on top of Snowflake, data as code kind of implies developer ecosystem. This is kind of interesting. I mean, you got partnering with Qlik and AWS, it's kind of a developer-like thinking real solution. What's unique about this SAP solution that's, that's different than what customers can get anywhere else or not? >> Yeah, well listen, I think first of all, you have to start with the idea of the solution. This are three companies coming together to build a holistic solution that is all about, you know, creating a great opportunity to turn SAP data into value this is Itamar was talking about, that's really what we're talking about here and there's a lot of technology underneath it. I'll talk more about the Snowflake technology, what's involved here, and then cover some of the AWS pieces as well. But you know, we're focusing on getting that value out and accelerating time to value for our joint customers. As Itamar was saying, you know, there's a lot of complexity with the SAP data and a lot of value there. How can we manage that in a prepackaged way, bringing together best of breed solutions with proven capabilities and bringing this to market quickly for our joint customers. You know, Snowflake and AWS have been strong partners for a number of years now, and that's not only on how Snowflake runs on top of AWS, but also how we integrate with their complementary analytics and then all products. And so, you know, we want to be able to leverage those in addition to what Qlik is bringing in terms of the data transformations, bringing data out of SAP in the visualization as well. All very critical. And then we want to bring in the predictive analytics, AWS brings and what Sage brings. We'll talk about that a little bit later on. Some of the technologies that we're leveraging are some of our latest cutting edge technologies that really make things easier for both our partners and our customers. For example, Qlik leverages Snowflakes recently released Snowpark for Python functionality to push down those data transformations from clicking the Snowflake that Itamar's mentioning. And while we also leverage Snowpark for integrations with Amazon SageMaker, but there's a lot of great new technology that just makes this easy and compelling for customers. >> I think that's the big word, easy button here for what may look like a complex kind of integration, kind of turnkey, really, really compelling example of the modern era we're living in, as we always say in theCUBE. You mentioned accelerators, SAP accelerators. Can you give an example of how that works with the technology from the third party providers to deliver this business value Itamar, 'cause that was an interesting comment. What's the example? Give an example of this acceleration. >> Yes, certainly. I think this is something that really makes this truly, truly unique in the industry and again, a great opportunity for customers. So we kind talked earlier about there's a lot of things that need to be done with SP data to turn it to value. And these accelerator, as the name suggests, are designed to do just that, to kind of jumpstart the process and reduce the time and the risk involved in such project. So again, these are pre-packaged templates. We basically took a lot of knowledge, and a lot of configurations, best practices about to get things done and we put 'em together. So think about all the steps, it includes things like data extraction, so already knowing which tables, all the relevant tables that you need to get data from in the contexts of the solution you're looking for, say like order to cash, we'll get back to that one. How do you continuously deliver that data into Snowflake in an in efficient manner, handling things like data type mappings, metadata naming conventions and transformations. The data models you build all the way to data mart definitions and all the transformations that the data needs to go through moving through steps until it's fully analytics ready. And then on top of that, even adding a library of comprehensive analytic dashboards and integrations through machine learning and AI and put all of that in a way that's in pre-integrated and tested to work with Snowflake and AWS. So this is where again, you get this entire recipe that's ready. So take for example, I think I mentioned order to cash. So again, all these things I just talked about, I mean, for those who are not familiar, I mean order to cash is a critical business process for every organization. So especially if you're in retail, manufacturing, enterprise, it's a big... This is where, you know, starting with booking a sales order, following by fulfilling the order, billing the customer, then managing the accounts receivable when the customer actually pays, right? So this all process, you got sales order fulfillment and the billing impacts customer satisfaction, you got receivable payments, you know, the impact's working capital, cash liquidity. So again, as a result this order to cash process is a lifeblood for many businesses and it's critical to optimize and understand. So the solution accelerator we created specifically for order to cash takes care of understanding all these aspects and the data that needs to come with it. So everything we outline before to make the data available in Snowflake in a way that's really useful for downstream analytics, along with dashboards that are already common for that, for that use case. So again, this enables customers to gain real-time visibility into their sales orders, fulfillment, accounts receivable performance. That's what the Excel's are all about. And very similarly, we have another one for example, for finance analytics, right? So this will optimize financial data reporting, helps customers get insights into P&L, financial risk of stability or inventory analytics that helps with, you know, improve planning and inventory management, utilization, increased efficiencies, you know, so in supply chain. So again, these accelerators really help customers get a jumpstart and move faster with their solutions. >> Peter, this is the easy button we just talked about, getting things going, you know, get the ball rolling, get some acceleration. Big part of this are the three companies coming together doing this. >> Yeah, and to build on what Itamar just said that the SAP data obviously has tremendous value. Those sales orders, distribution data, financial data, bringing that into Snowflake makes it easily accessible, but also it enables it to be combined with other data too, is one of the things that Snowflake does so well. So you can get a full view of the end-to-end process and the business overall. You know, for example, I'll just take one, you know, one example that, that may not come to mind right away, but you know, looking at the impact of weather conditions on supply chain logistics is relevant and material and have interest to our customers. How do you bring those different data sets together in an easy way, bringing the data out of SAP, bringing maybe other data out of other systems through Qlik or through Snowflake, directly bringing data in from our data marketplace and bring that all together to make it work. You know, fundamentally organizational silos and the data fragmentation exist otherwise make it really difficult to drive modern analytics projects. And that in turn limits the value that our customers are getting from SAP data and these other data sets. We want to enable that and unleash. >> Yeah, time for value. This is great stuff. Itamar final question, you know, what are customers using this? What do you have? I'm sure you have customers examples already using the solution. Can you share kind of what these examples look like in the use cases and the value? >> Oh yeah, absolutely. Thank you. Happy to. We have customers across different, different sectors. You see manufacturing, retail, energy, oil and gas, CPG. So again, customers in those segments, typically sectors typically have SAP. So we have customers in all of them. A great example is like Siemens Energy. Siemens Energy is a global provider of gas par services. You know, over what, 28 billion, 30 billion in revenue. 90,000 employees. They operate globally in over 90 countries. So they've used SAP HANA as a core system, so it's running on premises, multiple locations around the world. And what they were looking for is a way to bring all these data together so they can innovate with it. And the thing is, Peter mentioned earlier, not just the SAP data, but also bring other data from other systems to bring it together for more value. That includes finance data, these logistics data, these customer CRM data. So they bring data from over 20 different SAP systems. Okay, with Qlik data integration, feeding that into Snowflake in under 20 minutes, 24/7, 365, you know, days a year. Okay, they get data from over 20,000 tables, you know, over million, hundreds of millions of records daily going in. So it is a great example of the type of scale, scalability, agility and speed that they can get to drive these kind of innovation. So that's a great example with Siemens. You know, another one comes to mind is a global manufacturer. Very similar scenario, but you know, they're using it for real-time executive reporting. So it's more like feasibility to the production data as well as for financial analytics. So think, think, think about everything from audit to texts to innovate financial intelligence because all the data's coming from SAP. >> It's a great time to be in the data business again. It keeps getting better and better. There's more data coming. It's not stopping, you know, it's growing so fast, it keeps coming. Every year, it's the same story, Peter. It's like, doesn't stop coming. As we wrap up here, let's just get customers some information on how to get started. I mean, obviously you're starting to see the accelerators, it's a great program there. What a great partnership between the two companies and AWS. How can customers get started to learn about the solution and take advantage of it, getting more out of their SAP data, Peter? >> Yeah, I think the first place to go to is talk to Snowflake, talk to AWS, talk to our account executives that are assigned to your account. Reach out to them and they will be able to educate you on the solution. We have packages up very nicely and can be deployed very, very quickly. >> Well gentlemen, thank you so much for coming on. Appreciate the conversation. Great overview of the partnership between, you know, Snowflake and Qlik and AWS on a joint solution. You know, getting more out of the SAP data. It's really kind of a key, key solution, bringing SAP data to life. Thanks for coming on theCUBE. Appreciate it. >> Thank you. >> Thank you John. >> Okay, this is theCUBE coverage here at RE:Invent 2022. I'm John Furrier, your host of theCUBE. Thanks for watching. (upbeat music)

Published Date : Nov 23 2022

SUMMARY :

bringing SAP data to life, great meeting you John. then going to jump into what On the Cloud Partner side, and I'm the senior vice and the solutions, and the value chain and accelerate time to value that are going to be powering and data to do so. What's the dynamic powering this trend? You know, it's time to value all the time with customers. and that's driving all the and it's also a solution by the way I mean, you got partnering and bringing this to market of the modern era we're living in, that the data needs to go through getting things going, you know, Yeah, and to build in the use cases and the value? agility and speed that they can get It's a great time to be to educate you on the solution. key solution, bringing SAP data to life. Okay, this is theCUBE

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Paul Daugherty & Jim Wilson | AWS Executive Summit 2022


 

(upbeat music) >> Hello, everyone. Welcome to theCUBE's coverage here at AWS re:Invent 2022. This is the Executive Summit with Accenture. I'm John Furrier, your host of theCUBE with two great guests coming on today, really talking about the future, the role of humans. Radically human is going to be the topic. Paul Daugherty, the group Chief Executive Technology and CTO at Accenture. And Jim Wilson, Global Managing Director of Thought Leadership and Technology Research, Accenture. Gentlemen, thank you for coming on theCUBE for this conversation around your new hit book, "Radically Human." >> Thanks, John. It's great to be with you and great to be present at re:Invent. >> We've been following you guys for many, many years now, over a decade. You always have the finger on the pulse. I mean, and as these waves come in, it's really important to understand impact. And more than ever, we're in this, I call it the systems thinking, revolution is going on now where things have consequences and machines are now accelerating their role. Developers are becoming the front lines of running companies, seeing a massive shift. This new technology is transforming the business and shaping our future as as humans. And so I love the book, very, very strong content, really right on point. What was the motivation for the book? And congratulations, but I noticed you got the structure, part one and part two, this book seems to be packing a big punch. What was the motivation, and what was some of the background in putting the book together? >> That's a great question, John. And I'll start, and then, Jim, my co-author and colleague and partner on the book can join in too. If you step back from the book itself, we'd written a first book called "Human + Machine", which focused a lot on artificial intelligence and talked about the potential and future of artificial intelligence to create a more human future for us with the human plus machine pairing. And then when we started working on the next book, it was the COVID era. COVID came on line as we were writing the book. And that was causing really an interesting time in technology for a lot of companies. I mean, think back to what you were doing. Once COVID hit, every company became more dependent on technology. Technology was the lifeline. And so Jim and I got interested in what the impacts of that were on companies, and what was different from the first research we had done around our first book. And what we found, which was super interesting, is that pre-pandemic, the leading companies, the digital leaders that were applying cloud data, AI, and related technologies faster, we're outperforming others by a factor of 2x. And that was before the pandemic. After the pandemic, we redid the research and the gap widened into 5x. And I think that's played a lot into our book. And we talk about that in the opening of our book. And the message there is exactly what you said is technology is not just the lifeline from the pandemic, but now technology is the heart and soul of how companies are driving innovation, how they're responding to global crises around inflation, energy, supply chain crisis because of the war in Ukraine, et cetera. And companies need the technology more than ever. And that's what we're writing about in "Radically Human." And we're taking a step beyond our previous book to talk about what we believe is next. And it's really cloud, data and AI, and the metaverse that signal out as three trends that are really driving transformative change for companies. In the first part of the book, to your question on the structure, talks about the roadmap to that. We talked about the ideas framework, five areas where you need to change your thinking, flip your assumptions on how to apply technology. And then the second part of the book talks about the differentiators that we believe are going to set companies apart as they look to implement this technology and transform their companies for the future. >> Jim, weigh in on this flipping the script, flipping the assumptions. >> You used a really important word there and that is systems. I think when we think about artificial intelligence, and when Paul and I have now talking to companies, a lot of executives think of AI as a point solution. They don't think about AI in terms of taking a systems approach. So we were trying to address that. All right, if you're going to build a roadmap, a technology roadmap for applying intelligent technologies like artificial intelligence, how do you take a holistic systematic view? And that's really the focus of the first section of the book. And then as Paul mentioned, how do you take those systems and really differentiate it using your talent, focusing on trust, experiences and sustainability? >> I like how it reads. It's almost like a masterclass book because you set the table. It's like, 'cause people right now are like in the mode of what's going on around me? I've been living through three years of COVID. We're coming out the other side. The world looks radically different. Humans are much more important. Automation's great, but people are finding out that the human's key, but people are trying to figure out where am I today. So I think the first part really to me hits home. Like, here's the current situation and then part two is here's how you can get better. And it's not just about machines, machines, machines and automation, automation, automation. We're seeing examples where the role of the human, the person in society, whether it's individually or as part of a group, are really now key assets in that kind of this new workforce or this new production system or society. >> Yeah. And just to take a couple examples from the book and highlight that, I think you're exactly right. And that's where "Radically Human", the title came from. And what's happening with technology is that technology itself is becoming more human like in its capability. When you think about the power of the transformer technologies and other things that we're reading about a lot. And the whole hypothesis or premise of the book I should say, is that the more human like the technology is, the more radically human or the more radical the human potential improvement is, the bigger the opportunity. It's pairing the two together rather than, as you said, just looking at the automation or the machine side of it. That's really the radical leap. And one thing Jim and I talked about in context of the book is companies really often haven't been radical enough in applying technology to really get to dramatic gains that they can get. Just a couple examples from the ideas framework, the I in IDEAS. The ideas framework is the first part of the book. The five areas to flip your assumptions. The I stands for intelligence and we're talking about more human and less artificial in terms of the intelligence techniques. Things like common sense learning and other techniques that allow you to develop more powerful ways of engaging people, engaging humans in the systems that we build using the kind of systems thinking that Jim mentioned. And things like emotional AI, common sense AI, new techniques in addition to machine, the big data driven machine learning techniques, which are essential to vision and solving big problems like that. So that's just an example of how you bring it together and enable that human potential. >> I love the idea, go ahead Jim. >> I was going to say we've been used to adapting to technology, and contorting our fingers to keyboards and so on for a long time. And now we're starting to see that technology is in fact beginning to adapt to us and become more natural in many instances. One point that we make is now in the human technology nexus, in fact, the human is in the ascended. That's one of the big ideas that we try to put out there in this book. >> I love the idea of flipping the script, flipping the assumptions, but ideas framework is interesting. I for intelligence, D for data, E for expertise, A for architecture, S for strategy. Notice the strategies last. Normally in the old school days, it's like, hey, strategy first and execution. Really interesting how you guys put that together. It feels like business is becoming agile and iterative and how it's going to be forming. Can you guys, I mean that's my opinion, but I think observing how developers becoming much more part of the app. I mean, if you take digital transformation to its conclusion, the application is the company, It's not a department serving the business, it is the business, therefore developers are running the business, so to speak. This is really radical. I mean, this is how I'm seeing it. What's your reaction to that? Do you see similar parallels to this transformation if you take it down to a conclusion and strategy is just what you do after you get the outcomes you need? What's your reaction to that? >> Yeah, I think one of the most lasting elements of the book might be that chapter on strategy in my opinion, because you need to think about it differently. The old way of doing strategy is dead. You can't do it the way you used to do it. And that's what we tried to lay out with the S in IDEAS, the strategy. The subtitle that chapter is we're all technology companies now. And if you're a technology driven company, the way you need to think about and every company is becoming, that's what I hear when I talk to these suites and CEOs and boards, is everybody's recognizing the essential role that technology plays and therefore they need to master technology. Well, you need to think about strategy differently then because of the pace of technology innovation. And so you need to throw out the old way of doing it. We suggest three new archetypes of how to do strategy that I think are really important. It's about continuous strategy in all cases. An example is one of the techniques we talk about, forever beta, which is, think about a Tesla or companies that it's never quite done. They're always improving and the product is designed to be connected and improving. So it changes along the product and the strategy along how you deploy it to consumers changes as you go. And that's an example of a very different approach to strategy that we believe is essential to consider as you look at the future. Yeah, those multi-month strategy sessions might play out over two or three quarters of going away. And strategy and execution are becoming almost simultaneous these days as Paul was saying. >> It's interesting because that's the trend you're seeing with more data, more automation, but the human plays a much critical role. And just aside on the Tesla example, is well documented. I think I wrote about in a post just this week that during the model three, Elon wanted full automation and had to actually go off scripts and get to humans back in charge 'cause it wasn't working properly. Now they have a balance. But that brings up to part two, which I like, which is this human piece of it. We always talk about skills gaps, there's not enough people to do this, that and the other thing. And talent was a big part of that second half, trust, talent, experiences. That's more of the person's role, either individually as part of a collective group. Is talent the scarce resource now where that's the goal, that's the key 'cause it all could point to that in a way. Skills gap points to, hey, humans are valuable. In fact the value's going up if it's properly architected. What's your reaction to that, guys? Because I think that's something that is not, kind of nuanced point, but it's a feature, not a bug maybe, I don't know. What's your thoughts? >> Yeah, go ahead Jim. >> I was going to say it, we're dramatically underestimating the amount of focus we need to put on talent. That's why we start off that second part of the book, really zooming in on talent. I think you might think that for every hundred dollars that you put into a technology initiative, you might put 50 or 75 into re-skilling initiatives to really compliment that. But what we're seeing is companies need to be much more revolutionary in their focus on talent. We saw economic analysis recently that pointed out that for every $1 you spend on technology, you are likely going to need to spend about $9 on intangible human capital. That means on talent, on getting the best talent, on re-skilling and on changing processes and work tasks. So there's a lot of work that needs to be done. Really that's human focus. It's not just about adopting the technology. Certainly the technology's critical, but we're underestimating the amount of focus that needs to go into the talent factors. >> That's a huge point. >> And I think some of the elements of talent that become really critical that we talked about in the book are becoming a talent creator. We believe the successful companies of the future are going to be able not just to post a job opening and hire people in because there's not going to be enough. And a lot of the jobs that companies are creating don't exist 'cause the technology changing so fast. So the companies that succeed are going to know how to create talent, bring in people, apprentices and such, and shape to tale as they go. We're doing a significant amount of that in our own company. They're going to be learning based organizations where you'll differentiate, you'll get the best employees if you provide better learning environments because that's what employees want. And then democratizing access to technology. Things like Amazon's Honeycode is an example, low-code/no-code development to spread development to wider pools of people. Those types of things are really critical going forward to really unlock the talent potential. And really what you end up with is, yeah, the human talent's important, but it's magnified and multiplied by the power of people, giving them in essence superpowers in using technology in new ways. >> I think you nailed it, that's super important. That point about the force multiplier when you put things in combination, whether it's group constructs, two pizza teams flexing, leveraging the talent. I mean, this is a new configuration. You guys are nailing it there. I love that piece. And I think groups and collectives you're going to start to see a lot more of that. But again, with talent comes trust when you start to have these ephemeral and or forming groups that are forming production systems or experiences. So trust comes up a lot. You guys see the metaverse as an important part there. Obviously metaverse is a pretext to the virtual world where we're going to start to create these group experiences and create new force multipliers. How does the metaverse play into this new radically human world, and what does it mean for the future of business? >> Yeah, I think the metaverse is radically misunderstood to use the word title when we're not with the title of our book. And we believe that the metaverse does have real big potential, massive potential, and I think it'll transform the way we think about digital more so than we've changed our thinking on digital in the last 10 years. So that's the potential of the metaverse. And it's not just about the consumer things, it's about metaverse and the enterprise. It's about the new products you create using distributed ledger and other technologies. And it's about the industrial metaverse of how you bring digital twins and augmented workers online in different ways. And so I believe that it has tremendous potential. We write about that in the book and it really takes radically human to another level. And one way to think about this is cloud is really becoming the operating system of business. You have to build your enterprise around the cloud as you go forward. That's going to shape the way you do business. AI becomes the insight and intelligence in how you work, infused with the human talent and such as we said. And the metaverse then reshapes the experience layers. So you have cloud, AI building on top of this metaverse providing a new way to generate experiences for employees, citizens, consumers, et cetera. And that's the way it unfolds, but trust becomes more important because just as AI raises new questions around trust, every technology raises new questions around trust. The metaverse raises a whole new set of questions. And in the book we outline a five-part framework or five essential parts of the framework around how you establish trust as you implement these new technologies. >> Yeah, we're seeing that about three quarters of companies are really trying to figure out trust, certainly with issues like the metaverse more broadly across their IT so they're focusing on security and privacy, transparency, especially when you're talking about AI systems, explainability. One of the more surprising things that we learned when doing the book, when we were doing the research is that we saw that increasingly consumers and employees want systems to be informed by a sense of humanity. So one company that we've been looking at that's been developing autonomous vehicles, self-driving car systems, they're actually training the system by emulating human behavior. So turning the cameras on test drivers to see how they learn and then training the AI using that sense of humanity 'cause other drivers on the road find human behavior more trustworthy. And similarly, that system is also using explainable AI to actually show which human behaviors that AI system is learning from. Some really interesting innovations happening in that trust space. John. >> Jim, I think you bring up a great point that's worth talking more about. Because you're talking about how human behaviors are being put into the design of new things like machines or software. And we're living in this era of cloud scale, which is compressing this transformation timeline and we've been calling it supercloud, some call it multi-cloud, but it's really a new thing happening where you're seeing an acceleration of the transformation. We think it's going to happen much faster in the next five to 10 years. And so that means these new things are emerging, not just, hey, I'm running a virtual event with chat and some video. It's group behavior, it's groups convening, talking, getting things done, debating, doing things differently. And so this idea of humans informing design decisions or software with low-code/no-code, this completely changes strategy. I mean this is a big point of the book. >> Yeah, no, I go back to one of the, the E in the IDEAS framework is expertise. And we talk about from machine learning to machine teaching, which is exactly that. Machine learning is maybe humans tag data and stuff and feed into algorithms. Machine teaching is how do you really leverage the human expertise in the systems that you develop with AI. One of the examples we give is one of the large consumer platforms that uses human designers to give the system a sense of aesthetic design and product design. A very difficult thing, especially with changing fashion interest and everything else to encode in algorithms and to even have AI do, even if you have fast amounts of data, but with the right human insight and human expertise injected in, you can create amazing new capability that responds to consumers in a much more powerful way. And that's an example of what you just said, John, bringing the two together. >> Well, yeah, it's interesting. I want to to get your thoughts as we get wrap up here soon. How do you apply all these human-centric technologies to the future of business? As you guys talk to leaders in the enterprise of their businesses, as they look at the horizon, they see the the future. They got to start thinking about things like generative AI and how they can bring some of these technologies to the table. We were talking about if open source continues to grow the way it's going, there might not be any code to write, it just writes itself at some point. So you got supply chain issues with security. These are new things you guys are hitting in the book where these are new dynamics, new power dynamics in how things get built. So if you're a business owner and leader, this is a new opportunity, a challenge certainly that is an opportunity. How do you apply all this stuff for business? >> I'll go first then Jim can add in. But the first thing I think starts with recognizing the role that technology does play and investing accordingly in it. So the right technology talent, rethinking the way you do strategy as we talked about earlier and recognizing how you need to build a foundation. That's why the fact you're at re:Invent is so important because companies are, again, rebuilding that operating system of their business in the cloud. And you need that as the foundation to go forward, to do, to build the other types of capabilities. And then I think it's developing those talent systems as well. Do you have the right talent brand? Are you attracting the right employees? Are you developing them in the right way so that you have the right future talent going forward? And then you marry the two together and that's what gives you the radically human formula. >> Yeah. When we were developing that first part of the book, Paul and I did quite a bit of research, and Paul kind of alluded to that research earlier, but one of the things that we saw in really the first year of the pandemic was that there was a lot of first time adoption of intelligent technologies like artificial intelligence. One statistic is that 70% of companies that had never tried AI before went ahead and tried it during the pandemic. So first time adoption rates were way up, but the thing is companies were not trying to do it themselves and to necessarily build an AI department. They were partnering and it's really important to find a partner, often a cloud partner as a way to get started, start small scale, and then scale up doing experiments. So that was one of the key insights that we had. You don't need to do it all yourself. >> If you see the transformation of just AWS, we're here at re:Invent, since we've been covering the events since 2013, every year there's been a thematic thing. It was startups, enterprise, now builders, and now change your company. This year it's continuing that same thing where you're starting to see new things happen. It's not just lift and shift and running a SaaS application on the cloud. People are are changing and refactoring and replatforming categorical applications in for this new era. And we're calling it supercloud, superservices, superapps, 'cause they're different. They're doing different things in leveraging large scale CapEx, large scale talent pools, or talent pools in certain ways. So this is real, something's happening here and we've been talking about it a lot lately. So I have to ask you guys, how does a company know if they're radical enough? Like what is radical? How can I put a pin in that? It's like take a temperature or we like radical enough, what some tell signs can you guys share for companies that are really leaning into this new next inflection point because there are new things happening? How do you know if you're you're pushing the envelope radical enough to take advantage? >> Yeah, I think one. >> You can go ahead, Paul. >> Yeah, I was going to say one of the tests is the impact on your business. You have to start by looking at all this in the context of your business, and is it really taking you to another level? You said it perfectly, John, it used to be we used to talk about migration and workloads to the cloud and things like that. That's still something you need to do. But now our focus with a lot of our customers is on how do you innovate and grow your business in the cloud? What's the platform that you're using for your new digital products and services you're offering to your consumers. I mean it is the business and I think that's the test whether you're being radical enough is on the one hand, are you really using the technology to drive differentiation and real growth and change in your business? And are you equipping people, your human talent with the capabilities they need to perform in very different ways? And those are the two tests that I would give. >> Totally agree. >> Interesting enough, we love this topic and you guys, again, the book is spot on. Very packs of big punch on content, but very relevant in today. And I think one of the things we're looking at is that people who do things differently take advantage of some of these radical approaches like IDEAS, your framework, and understand where they are and what's available and what's coming around the corner. They stand out in the pack or create new business opportunities because the CapEx is taken care of. Now you got your cloud, I mean you're building clouds on top of clouds or something's happening. I think you see it, look at like companies like Snowflake, it's a data warehouse on the cloud. What does that mean? They didn't build a cloud, they used Amazon. So you're starting to see these new things pop up. >> Yeah and that's a good example. And it sounds like a simple thing, data warehouse in the cloud, but the new business capability that a technology like that allows and the portability of being able to connect and use data across cloud environments and such is tremendously powerful. And I think that's why, you talk about companies doing things differently, that's why it's great, again, that you're at re:Invent. If you look at the index of our book, you'll see AWS mentioned a number of times 'cause we tell a lot of customer company stories about how they're leveraging AWS capabilities in cloud and AI to really do transformative things in their business. And I think that's what it's all about. >> Yeah, and one of the things too in the book, it's great 'cause it has the systems thinking, it's got really relevant information, but you guys have seen the movie before. I think one of the wild cards in this era is global. We're global economy, you've got regions, you've got data sovereignty, you're seeing all kinds of new things emerging. Thoughts on the global impact 'cause you take your book and you overlay that to business, like you got to operate all over the world as a human issue, as a geography issue. What's your guys take on the global impact? >> Well that's why you got to think about cloud as one technology. We talked about in the book and cloud is, I think a lot of people think, well, clouds, it's almost old news. Maybe it's been around for a while. As you said, you've been going to re:Invent since 2013. Cloud is really just getting started. And it's 'cause the reasons you said, when you look at what you need to do around sovereign cloud capability if you're in Europe. For many companies it's about multi-cloud capabilities that you need to deploy differently in different regions. And they need to, in some cases for good reason, they have hybrid cloud capability that they match on their own. And then there's the edge capability which comes into play in different ways. And so the architecture becomes very complex and we talk the A in IDEAS is architecture. We talk about all this and how you need to move from the old conception of architecture, which was more static and just modularity was the key thing you thought about. It's more the idea of a living system, of living architecture that's expanding and is what's much more dynamic. And I think that's the way you need to think about it as you manage in a global environment today with the pace of technology advancement. >> Yeah, the innovation is here. It's not stopping. How do you create some defacto standards while not stunting the innovation is going to be a big discussion as these new flipped assumptions start to generate more activity. It's going to be very interesting to watch. Gentlemen, thank you so much for spending the time here on theCUBE as we break down your new book, "Radically Human" and how business leads can flip the script on their business assumptions and put ideas and access to work. This is a big part of the cloud show at re:Invent. Thanks so much for sharing and congratulations on a great book. >> Thanks, John. And just one point I'd add is that one of the things we do talk about in talent is the need to reskill talent. People who need to be relevant in the rapidly changing future. And that's one area where I think we all as institutions, as communities and individuals need to do more is to help those that need to reskilling. And the final point I mentioned is that we've mentioned at the end of the book that all proceeds from the book are being donated to NGOs and nonprofits that are focused on reskilling those who need a skill refresh in light of the radically human change in technology that's happening. >> Great. Buy the book. Proceeds go to a great cause and it's a very relevant book. If you're in the middle of this big wave that's coming. this is a great book. There's a guidepost and also give you some great ideas to reset, reflip the scripts, refactor, replatform. Guys, thanks for coming on and sharing. I really appreciate it. Again, congratulations. >> Thanks, John. >> Thanks, John. Great discussion. >> You're watching theCUBE here covering the executive forum here at AWS re:Invent '22. I'm John Furrier, you're host with Accenture. Thanks for watching. (gentle music)

Published Date : Nov 22 2022

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This is the Executive It's great to be with you And so I love the book, talks about the roadmap to that. flipping the script, And that's really the focus that the human's key, is that the more human in fact, the human is in the ascended. the business, so to speak. the way you need to think about And just aside on the Tesla the amount of focus we And a lot of the jobs that You guys see the metaverse And in the book we outline One of the more surprising in the next five to 10 years. One of the examples we give in the enterprise of their businesses, rethinking the way you do strategy but one of the things that we So I have to ask you guys, is the impact on your business. because the CapEx is taken care of. and the portability of Yeah, and one of the And it's 'cause the reasons you said, This is a big part of the is that one of the things Buy the book. covering the executive forum

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