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Caitlin Gordon, Dell Technologies | Dell Technologies World 2022


 

>> Announcer: theCUBE presents Dell Technologies World, (gentle electronic music) brought to you by Dell. >> Welcome back to theCUBE's coverage of Dell Tech World 2022. My name is Dave Vellante, and I'm here with my co-host, David Nicholson. Dave, I think first time we've co-hosted this week. >> Yeah. >> Excited to be with you. >> Very excited. >> Live wall to wall coverage. Two and a half days, two days and one evening. I'd say 7,000 plus people here, so really good showing. Caitlin Gordon is here, she's the vice president of product management for cloud solutions and tech alliances at Dell Technologies. Caitlin, welcome back to theCube, always a pleasure to see you, thanks for coming on. >> It is really good to be back in a physical cube, with three dimensional humans. >> Yeah, so unbelievable. >> And it was good to see you up on stage today, so fantastic job. I think the keynotes have been good. I think it's funny, coming out of COVID, it seems like the keynotes are really tight. >> Caitlin: Yeah. >> This year, you know. And, so I think that's good. You have a lot to say, so that's why we love theCube, so you can come back and. >> Caitlin: Nice to have a live audience, get the feedback, yeah. Yeah, they were, I tell you, the audience was engaged today, right? I mean, lots of hooping and hollering, so let's talk about multicloud. You know, it's, pre-COVID, post-COVID, feels like things have changed. Maybe, maybe due to COVID, maybe not, but what are you seeing, the patterns in customers around multicloud? >> Well it's been interesting. I've been in a multicloud world tour here over the last six to nine months, and you know, one thing is clear, for the first time as an industry, we agree on something, (Dave laughing) And that's multicloud. We don't agree on what it means, but we do agree that multicloud is our reality. And customers are having a lot of challenges with what that means. That means today reality is multicloud most of the time just means multi contract, alright. I know what hyperscaler's my primary, I have secondary, I probably brought someone that brought someone else in. I've got SaaS providers, I got my on-prem partners. But there's not a lot of continuity and consistency across that. It's really operational silos, data silos, being able to predict that spend is the challenge. And there's a lot of people challenges in there. Whether it's developer velocity, as Jen talked about earlier today. Or even just simply having enough people with the right skills, is a real big challenge because no matter what definition you have of multicloud, it means distributed, and it means a lot of different places, and that's a big challenge. >> I tagged you in my Tweet today, when you were up on stage, I don't know if you saw it. But basically you know, we use this term super cloud, and it was pretty clear to me anyway, an example of what I think of as what multicloud should be. An experience that spans location, that is the consistent experience with all my policies, and my security, my governance. Talk about what you guys are doing to map into the trends that you see. >> You used my favorite phrase, consistent experience. And really what we're doing is two things. We're building a portfolio of software and services, and that's really targeted at that consistent experience. You can have your data, and your workloads in the right place, but you can have a consistent experience with what you already have on-prem. We really need to have true hybrid cloud operations. We overused that term and we ruined it, and then we didn't use it anymore. But that's what we're talking about. On-prem to multiple public clouds have that consistency. But that's not enough because this is just such a complex landscape. The second part of what we're building is really an ecosystem of cloud partnerships. So whether it's the hyperscaler, certainly. But also colocation providers like Equinix. Or SaaS providers like Snowflake. The more we can partner with the key providers in the multicloud landscape, the more we can simplify that across. >> Yes, so you mentioned something that's key. Most people when they think about multicloud, they're not going into that because they really want to do the same thing nine different ways. So that consistency. >> Caitlin: It's not the design point. >> No, exactly. >> Caitlin: No. >> It's like, I want multi something. But not multi everything you offer. So the concept of using this well worn, well proven set of storage intelligence software titles, and putting them out into a variety of cloud providers, linking them with a unified experience is obviously powerful. And that seems to be what's behind Alpine? Is that the strategy? >> Yeah, it's absolutely right. Because you want that consistency because you have established multi lots of things. But you want to be able to get the consistency. But you want to be able to get that across all your data types. You can't just have consistency for file. You can't not only have consistency for object. You want to have that flexibility in who the providers are, and what type of data. And yet have, still have that operational consistency not so matter what. So that's that, that's the tough combination. Keeping flexibility, but also that simplicity and consistency. >> So Project Alpine, tell us more about it, what it is, why is is called a project, when will it be a product. >> (laughing) All of the things. >> Dave: Yeah. So Project Alpine, if you've been tuned in this week, you've heard this a few times. But it is our initiative to bring our block file and object storage software, to all of the major public clouds. So that is all about being able to really break the barriers between your data, and native public cloud services. The key thing, that you started off with it, operational consistency. If I have a power store on-prem, I can run our block software in the cloud, have that operational consistency, so it's the same UI, it's the same API's. Why that really matters, the undercurrent of that comes back to people. If you have the same tools, the same API's, you don't have to learn anything new. You don't have to re-skill or re-hire any people. And eventually you can drive that even more efficiently all through API's. So it's all about that consistent operations. I'm not going to ignore your project questions so I'll get to that as well. >> Thank you. >> It's a project because for a number of reasons, it's something we're working towards, and it's going to have deliverables and milestones over a number of months and years, to be honest. We actually first announced Project Alpine back in January as you know. And we have already extended that now in May to say what we're talking about and any news, started to show you what that's looking like. So original announcement as a project in January. Technology preview here in May. And then we're going to start to have early access for some of these to customers later this year. And then availability into next year. >> Excellent. So the primary value proposition I've been hearing is that operational consistency. Is there another dimension of value, in terms of function? In other words, I get why I'm not going to get that operational consistency across clouds and on-prem from a public cloud provider. Are there functional capabilities that you bring, I mean yes, help us understand that gap. >> Yeah. >> Between what you can offer as a long term, you know, the leader in storage, versus kind of the new entrance in the public cloud. >> Yeah, two things come to mind. The number one is data mobility. So having that very efficient and very simple data mobility. Because what's the most efficient way to send data from an on-prem storage appliance? Use the native mobility services that are already built into that platform. They're already there, you already know how to use them, and they're very efficient. So they're going to be very smart about what data you send to, and what data you send back from the cloud. Which is critical from a people standpoint, but also from a cost standpoint. Which is the other piece of this. We've been talking about the technology, but as you well know, the business requirements are pretty important. So being able to also, not only have your software in the cloud, but transact that through a public cloud marketplace, and in one case will actually be delivered as a native cloud service, is critical. So all the pre-committed spend that you have with any one of these hyperscalers, you can actually draw down against that credit to purchase these software and services, which is equally important to the technology value prop. >> Hence your expanding ecosystem kind of goes both ways. Okay, so when I'm on a console within one of the public clouds, I want to go into Alpine, and now I'm into a Dell experience. Is that correct? >> I talked about flexibility right, and choice. You have that consistency to say, if you want to standardize on one of the hyperscaler ecosystems, we'll inter-operate that through our API's. We're not going to force you into any single walled garden, but if you have chosen an ecosystem you want to be working through, you can abstract out our value through API's and still leverage that underneath the covers, really at the data layer. So we are really all about that consistency at the data layer, but inter-operating with whatever control planes, and whatever ecosystems you are working with. Which is, I've said it five times, but API's are a critical part of this. We love UI's, and they're pretty in a nice demo, but the reality is probably API's is where this is mostly going to be consumed. >> So, I have a question for you as a marketer. You mentioned technology versus business value. Clearly, outcomes, the actual business value associated with what we do in technology, is key. However, as an old time storage guy myself, (Caitlin laughing) I realize that what you're talking about here is decades of development, focusing on things like data protection, resiliency, performance, built originally in an environment that wasn't instrumented for high availability. >> Caitlin: Hmm. >> You needed things like clusters. There wasn't the concept of just JBOD in servers, one server fails, you throw it away, and it automatically goes to another. How do you balance, this is a very long question here, how do you balance the fact that your underlying technology is so good, with the desire to communicate the business value? Do you find yourself having to not talk about the technology as much anymore? Because there's so much impressive stuff there. >> Yeah, I'm a recovering marketing person myself. Um, it is really interesting having been at this show for many, many, many years. Not as many as Dave probably. (Dave laughing) >> Old man Dave. (Caitlin laughing) >> What can I say. >> I would say, a number of those years we spend most of our time talking about speeds and feeds. How many IOPS? What's the latency? What's our HERO number of the day? And we still care about that right, and data protection, what's your BD braid? How much can we save you? Still important. But it's a secondary conversation. What are we talking about now? Cloud native app mobility, and that modernization, and the underlying infrastructure isn't always going to be Dell's anymore, it's going to by in the hyperscalers in some cases. So it's a completely different conversation and different people we're talking to. It's very exciting, it's a little bit foreign to us, but we welcome it, and it's also still important that we understand the infrastructure side too. Because ultimately, even if this is being delivered as a service, someone is still delivering and managing that infrastructure and that is still critically important. >> So okay, Project Alpine, is it multicloud? Is it Apex? Is it subscription? Is it as a service? >> Caitlin: Yeah. >> We should be thinking about it. >> Yeah, all those things. Yes, check. (Dave laughing) All of the things. >> So they're coming together is the. >> It's coming together, right. You hit all of the right buzz words, bingo. But multicloud, the value prop is Project Alpine, multicloud data, and yes subscription is going to really be the model from an economic standpoint, that's really the key. But ultimately it all comes together. >> What are you seeing with data architectures? Kind of up leveling a bit these days, where you know, customers generally, they'll shove everything into a big data warehouse, or a single store, or cloud. You you guys talked about the edge a lot. We just had a great conversation with Lowes, and what they're doing with VxRail and their stores. How are you seeing the evolution of data architectures? >> I think the Snowflake announcement was a really really really good example. And it came through as an announcement but it's a partnership, right. And what's really interesting is it's very clear that what we've kind of inherently understood as an on-prem, primarily an on-prem vendor traditionally, is that data has a ton of gravity, and between data privacy, and just governance regulations, there's a lot of reason the data is not going to move. And what that means from a modern cloud based analytics standpoint like Snowflake, is they need to be able to support the data no matter where it lives. That doesn't mean pulling it into the cloud. Many customers including us will not do that. It means being able to access that data so that more distributed data architecture, but still being able to use those cloud based tools, is really where we're seeing, and why we've really announced this partnership this week. I think there's a ton more opportunity in that space. >> Well that's the epiphany of the Snowflake deal is you're able to access non-native Snowflake data, into the Snowflake data cloud, that's a first. >> Caitlin: Yup. >> Now there, I'm sure Snowflake is going to want to migrate it at some point. But to your point, you won't as a customer, a lot of customers to say, no. First of all, a lot of times, it's not a business case. If I don't have to move it, why should I move it? If it's cost effective, and it's protected. And then, there are constraints. >> Caitlin: Yeah. >> To moving data, like legal constraints and so forth. >> Absolutely. And data regulations are not getting less stringent, right? >> Right. Alright, we got to go. Caitlin Gordon, thanks so much for coming back in theCube. It was great to see you. Congratulations for all the announcements, and awesome to see you face to face. >> Yes, thanks for having me. >> Alright, you're very welcome. >> Good to have you. >> Thank you for watching, this is Dave Vellante, for David Nicholson, Lisa Martin, and John Furrier. You're watching theCube's coverage of Dell Technologies World 2022 from Las Vegas. We'll be right back. (gentle electronic music)

Published Date : May 3 2022

SUMMARY :

brought to you by Dell. and I'm here with my always a pleasure to see It is really good to be it seems like the You have a lot to say, so but what are you seeing, over the last six to nine months, to map into the trends that you see. with what you already have on-prem. Yes, so you mentioned And that seems to be what's behind Alpine? But you want to be able what it is, why is is called a project, So that is all about being able to really and any news, started to show you capabilities that you bring, Between what you can and what data you send Is that correct? We're not going to force you I realize that what and it automatically goes to another. Um, it is really interesting (Caitlin laughing) and the underlying infrastructure All of the things. You hit all of the and what they're doing with data is not going to move. of the Snowflake deal a lot of customers to say, no. constraints and so forth. And data regulations are not and awesome to see you face to face. Thank you for watching,

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2021 015 Caitlin Gordon and Tony Frank


 

>> Welcome to this "Cube" conversation. I'm Lisa Martin. Pleased to welcome back Caitlin Gordon, Vice President of Product Management at Dell technologies. Caitlin it's great to see you again, though virtually. >> Yes, it's good to see you as well, Lisa. >> Tony Frank is here as well. Global client executive at Equinix, Tony, welcome to the program. >> Thank you, Lisa. Good to be here. >> We're going to be talking about some news. Caitlin let's go back. You and I, before we started filming, we were trying to remember, when did we last see each other? Of course it was virtual. So APEX was announced product APEX, October 2021. Just about a year ago. Released it in may, but just refresh the audience's memories with respect to the catalyst for Dell to go into this as a service offering. >> Yeah, I think we're all losing track of the virtual months here, (all laugh) so go back in time a little bit. Yeah, exactly right. So in the fall of last year, we had announced Project APEX. The first actual APEX offers really came to market in the spring in May with our APEX Data Storage Services. And at that time we actually had pre-announced what we're going to talk more about here today with our partnership with Equinix. But if we take a step back, you know, why did Dell talk about this as a project and is now really investing for the future? It really connects to a lot of the conversations you guys have here in "theCube", right? What's happening in IT? What's happening with our customers? Is that they're looking for outcomes. Yes, they're predominantly still buying products today, but they're really starting to look for outcomes. They want to be buying those outcomes. They want to have something that is an operating expense for them. Something that we can take, we as the technology, the infrastructure experts can take on the management, can take on the ownership of that equipment and really enable them to focus on their business. So really consumption-based, usage based infrastructure, all being elastic resources that Dell owns and manages, but customers can still operate. And of course, one of the first offers was APEX Data Storage Services, which we're extending here this fall. >> Talk to me a little bit, Caitlin, about outcomes. I just want to understand what Dell actually is focusing on for its customers, where outcomes are concerned. >> Yeah. And it's interesting as a company, it's a pretty big transformation for us. We have always been a product led company, but it's not really about a product. So when I talk about APEX Data Storage Services, you're not going to hear me mention a product name or anything. Because what it's about, it's about offering our customers what they're actually looking for. Which in the case of storage, they're all looking for, I want either block or file storage. I want a certain tier, so it is at a higher performance. I want a certain capacity of it, and I want to commit for some period of time. That's it. Those are the questions we ask. There's no product names and sizing and it's really, really simple. And that's what we're talking about. It's really the beginning of really trying to deliver customers an outcome versus a product. >> Got it. APEX Data Storage Services. This is Dell's efforts to supply managed file and block Storage as Services. Talk to me about that. Talk to me about some of the things, how does it enable the fast time to value as little as 14 days for your customers? >> Yeah, so there's a lot of really important things we're doing here. We're not just taking the products we had and kind of packaging it up in a new financial model. There's a lot of parts to this. It all centers around the APEX console. So the APEX console is where you start, begin really ongoing manage and experience these outcomes from Dell Technologies. And it starts with selecting the service you want. So if you select that you want APEX Data Storage Services, you pick your type, you pick your tier, you pick your time period, and you pick your size, right? And then you're off to the races. And we will be able to, what we're committing to do is delivering that in as few, and as little as 14 days time to value. And for us, you know, one of the benefits of being able to do this as Dell, we have always really thrived in our supply chain and the ability to have that predictability and being able to deliver things as a service, including storage, is really something that's just an extension of what we've been able to do there. And our partnerships with Equinix actually is going to enable us to even look at that further and see what we can do to really bring value to our customers as quickly as possible. >> That speed, that time to value, is even more important as we've lived through the last tumultuous 18 months. Let's break into the news now. You guys pre-announced the partnership with Equinix, but talk to me about, with respect to APEX Data Storage Services, what's being announced? Caitlin, we'll start with you and then Tony we'll bring you into the conversation. >> Yeah, absolutely. So again, we first released APEX Data Storage Services in the spring, and we're already enhancing that today. Couple exciting things. So geographic expansion, so expanding out into additional regions across Europe and Asia, who are expanding our support. So we talked about the fact that it's block and it's file. Well, actually on our file capability here, on our file outcome, we now will have the ability to support an S3 protocol. So you can do that app development and run your operations all off the same platform. So that's an exciting new expansion there. We're also enabling partners sell through. Our partners are really, really important, whether the resell partners or technology partners like Equinix. So partner sell through is another important piece. And of course the most important for our conversation today, is the exciting new announcement of the fact that we are going to offer APEX Data Storage Services available in Equinix facilities, all integrated into the APEX console. The fifth question is, now, where do you want your APEX Data Storage Services? You can select a Dell provided facility and you get the choice to select the different cities of Equinix locations. And we're going to provide that single bill and experience through Dell, but on the backend, we've worked with Tony and team for months to get this to be a very streamlined experience for our customers. >> Tony, talk to us about this from Equinix's perspective. >> Yeah, we're very excited. Caitlin, thank you very much and Lisa, thank you. Very excited to be part of what Dell's doing with APEX and enable enterprise customers to get delivered to them at Equinix facilities Storage as a Service, in addition to additional Equinix capabilities, really enabling agile enterprises to distribute their infrastructure across the world, leveraging Dell product, Dell management, and to get access to partners, to their other footprints, to cloud service providers, et cetera, all within the footprints of Equinix. >> So Caitlin, APEX Data Storage Service in secure colo facilities in conjunction with Equinix. Talk to me about what the reception has been from Dell customers. >> Yeah, it's been really fun. I mean, first of all, when we thought about data center providers are a critical part of us being able to deliver that outcome to customers. And when we looked at the ecosystem of partners, it was very clear who we were going to be partnering with. Equinix was really the best partner for us. We already had been working together in many different ways and we're just taking this partnership to the next level. And what we've already seen actually, all the way since earlier this year, we've had many, many customers coming to us, at first it was separately, but now it's actually jointly to say, I'm having a challenge and here's my challenge. And most of these conversations start in one way. I'm getting out of the data center business. And the nice thing for us is that between our two companies, we can solve that. Right, we have the combination of the right infrastructure, and with our partnership with Equinix, you partner that with the data center services, you can actually give that full outcome to a customer. And we were solving those separately, and now we're solving those together. >> Those folks wanting to get out of the data center, if we think about in the last year and a half, how inaccessible the data centers were, Tony, I want to get your perspective on the colo market, and as we look at IT today, the acceleration of it and digital and cloud adoption and getting out of the data center that we've seen in the last 18 months. Help me understand why the colo market is really key today for the future of IT. >> Absolutely Lisa. So, you know, focusing on outcomes as Caitlin outlined earlier, is a really important part of, really how IT has managed this pandemic and thinking about how do we solve for this vast distributed set of employees that we used to have aggregated in a single building or multiple buildings, but really spearheaded in a couple locations. And all of a sudden everything became, you know, out in rural America, out in rural Europe, out everywhere, employees were spread out and they needed a way as an IT team, to bring together the network, the security and the ability to be very agile and focus on an outcome as opposed to, how am I going to get this next piece of equipment, this next storage device, this next compute system in my data center and add the cooling and the power and all the things that they have to think about. And really it was an outcome. How do I give my employees the best experience possible? My partners, that access they need to my systems and the various ways that we interact together. So the colo market as a whole has been really changed dramatically through the whole pandemic. And if you didn't know Zoom two years ago, it's your best friend now, or it's your, you know, least favorite way to do business, but the only way we have to do business in the world that we're living in today. >> A lifeline, and here we are Zooming with each other right now. (Caitlin and Tony laugh) Tony, I want to stick with you. Let's talk about this partnership between Dell and Equinix. Why is this such a compelling partnership? Talk to me about that from Equinix's perspective. >> Yeah. We're so excited to be able to be partnered with the number one leader and provider of infrastructure and infrastructure services. We have really been a niche provider for the last 15 years. We're a 21, 22 year old company, and we focused on developing ecosystems and those were at first the internet. We brought the telecom providers together to make the internet work. And then on top of that started enabling things like digital trading. Also enabling all sorts of ad exchanges so that you see the banner ads that apply to you when you go to a website. And so we were well known within those ecosystems that we worked within, but getting out to the enterprise has been a big challenge. And Dell brings us those relationships. They bring that expertise, that trusted advisor kind of role. And so being able to extend our sales team and really leverage what Dell has done across small, medium, large and very large enterprise is a real win for us. And it allows us to achieve a scale that we wouldn't have been able to achieve by ourselves without breaking the bank trying to hire people, and trying to get them familiar with those customers. And so Dell brings us into that. We're able to complete what I call the three legged stool. The compute, the storage, and now the networking aspects can be dealt with in a single conversation around an outcome. And APEX gives us a chance to really be agilely available as Dell's customers define that for themselves and to deploy the infrastructure where they need it and to achieve those outcomes that they're trying to get to. >> So it's an ostensible value that Equinix is getting by the Dell partnership. You said, pulling us into the enterprise, facilitating that scale. Caitlin, talk to me about this from Dell's lens. What makes this partnership so compelling for Dell and the future of it as a service? >> I'm laughing as Tony's talking through that because it tees it up perfectly. From Dell's perspective, when we looked at data center providers, one of the challenges for us is we're a global IT provider. So we had to partner with someone who understood what it meant to operate and manage data centers at a global scale and locations all over the world. There's a very short list to choose from once you look at it from that lens, but more importantly, and what Tony you already hit on, the networking. The interconnects that we have in our partnership with Equinix are incredibly valuable. Cause ultimately, although customers start going to a colo facility because they want out of data center business, they don't want to be managing racks and power and cooling and all of that. Oftentimes actually the value they find once they get there and why they stay and grow is those interconnects. The ability to connect to other tenants in these facilities and the ability to connect into the hyper-scalers. And the richness of those interconnects with Equinix was truly unmatched, and that's why it's been such an important partnership for us. >> Tony, what's been some feedback from the Equinix customer base? >> Well, it's really funny. I spent half of my time trying to figure out with my team, how we're going to solve for Storage as a Service. The next geography, the next product. But the other half of the time is spent, who on the team is the right person to go pair up with the Dell team and get the Dell team brought into a discussion. And it's going bi-directionally right now. The volume is picking up. The velocity is picking up and it really seems to be like that snowball just going down the hill. It's just picking up speed and with every interaction we're gaining trust with each other, we're gaining competence in what the message is and how to solve for it. And we're working out the various ways, you know, in a predictive way, what are most people asking for? But the wonderful thing is, there's custom availability to figure out a solution for just about any problem that the IT or infrastructure focused teams in the enterprise are looking to solve for. >> Tony, sticking with you for a final question or two, in terms of the last, you know, few months, have you seen any industries in particular that are really readily adopting this? We've seen so much change across industries in the last 18 months. I'm just curious if you're seeing any industries that are particularly taking advantage of this capability and this partnership. >> Yeah. I would point to highly regulated industries. Thinking about financial, thinking about governments, and it's not just a US situation. This is a global situation and data sovereignty where that matters to a particular customer, is really important that they keep that data in the geography that it needs to stay in. It's defined by the different governments around the world. You know, you see, the financial industry has been a first mover towards electronic trading and really disrupted, thankfully, prior to the pandemic, the way trading was done. Because in-person trading wasn't going to happen anymore. And so in the highly regulated world, that healthcares, the financials. Those folks are definitely looking for a solution that has certifications across the board to help them say to their auditors, we've got this covered. That's something we were able to bring to the table for Dell. And then it also helps that the first movers sort of towards a digital infrastructure were insurance companies and others that saw the value of leveraging partnerships and bringing together things as quickly and fast as they could, without deploying huge global networks to try and make it all happen. They can instead virtually meet in the same room, leveraging our software defined network called Equinix Fabric. It's been a real win for the regulated industries, certainly. >> Got it. Thanks for that, Tony. Caitlin, last question for you. This is Dell managed, so single bill from Dell. Where can the viewers go to learn more information about this new partnership? >> Delltechnologies.com/apex. You'll learn more about all things APEX. Really, the APEX consoles, the experience, so you can learn more about it there. And then of course, your friendly neighborhood, Dell EMC rep, and or channel partner, now that we've got that partner enablement as well. >> Delltechnologies.com/apex. Caitlin and Tony, thank you so much for joining us today, sharing the exciting news about what's new with Dell and Equinix and what's in it for your customers and your partners. We appreciate your time. >> Thanks, Lisa. >> Thank you, Lisa. >> For Caitlin Gordon and Tony Frank, I'm Lisa Martin, you've been watching a "Cube" conversation. (soft music playing)

Published Date : Sep 17 2021

SUMMARY :

Caitlin it's great to see Yes, it's good to Tony Frank is here as well. Good to be here. but just refresh the audience's memories and really enable them to Talk to me a little bit, Those are the questions we ask. how does it enable the fast time to value and the ability to have That speed, that time to value, And of course the most important Tony, talk to us about this and to get access to partners, Talk to me about what And the nice thing for us is that and getting out of the data center and the ability to be very agile Talk to me about that from ads that apply to you and the future of it as a service? and the ability to connect and it really seems to in the last 18 months. in the geography that it needs to stay in. Where can the viewers go to learn Really, the APEX consoles, the experience, sharing the exciting news For Caitlin Gordon and Tony Frank,

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>> Narrator: From the CUBE Studios in Palo Alto, in Boston, connecting with thought leaders all around the world, this is a cube conversation. >> Hi, Lisa Martin here with Caitlin Gordon, the VP of product marketing for Dell technologies, Caitlin, welcome back to the CUBE, we're excited to see you again. >> Caitlyn: I'm very excited to be here again. >> So data protection in the news what's going on? >> Yeah, it's been a busy year, we had obviously our Power Protect DD appliance launch last year. And then this year we've had announcements on the software side. We had announcements at VMworld, some more at Dell Technologies World. And now today we're announcing even more which is the new Power Protect the DP series appliances the new integrated appliances. And it's really exciting. So we now have our Power Protect DD, the next generation of data domain, and we have our power protect DP appliances integrated appliances. And that's all about combining both protection storage, protects and software in a single converge, all in one offering. That's really popular with our customers today, because of the simplicity the ability to really modernize your data protection in a very simple way, get up really up and running quickly. And in fact, it's really the fastest growing part of the backup appliance market. >> Yeah, I have read that the integrated appliances our market is growing twice as fast as the targeted market. So give us a picture of what customers can expect from the new DP series. >> Yeah, it's not that dissimilar to actually our DD series from last year, which is there's four models in the new DP series. And it's really all about getting better performance, better efficiency. We've got new hardware, assisted compression, denser drives, and all that gives us the ability to get faster backups faster recovery, In fact, you get 38% faster up backups, 45% faster recovery, more logical capacity, 30% more logical capacity, 65 to one deduplication which is just incredible and 60,000 IOPS for instant access. So really ups the game, both in performance and efficiency. >> Those are big numbers. You mentioned the DD launch last year, contrast it with what you're announcing now. What's the significance of the DP series? >> This is exciting for us because it does a couple of things. It expands our power protect appliance family, with the new DP series of integrated appliances. But at the same time, we're also announcing other important Power Protect enhancements on the software side. Power Protect data manager which we've been enhancing and continuing to talk about all year also has some new improvements the ability to deploy it in Azure and AWS gov cloud for in-cloud protection. The enhancements that we've done with VMware that we talked about, not that long ago at VM world about being able to integrate with based policy management really automating and simplifying VMware protection. And it's really all about kuberetes, right? And the ability to support kubernetes as well. So not only is this an exciting appliance launch for us but it's also the marketing of yet even more enhancements on the Power Protect data manager side and all that together, it means that with Power Protect, you really have a one-stop shop for all of your data protection needs no matter where the data lives, no matter what SLA, whether it's a physical virtual appliance, whether it's target or integrated, you've all got them in the Power Protect family now. >> Excellent. All right. Last question for you Caitlin, we know Dell technologies is focused on three big waves, it's cloud VMware and cyber recovery. Anything else you want to add here? >> Cyber resiliency, cyber recovery Ransomware has really risen to the top of the list. Unfortunately for many organizations and Power Protect cyber recovery is really an important enhancement that we also have with this announcement today. We've had this offering in market for a couple years with the exciting new enhancement here. So it is the first cyber recovery solution endorsed by sheltered Harbor. And if you're not familiar with Power Protect cyber recovery it provides an automated air gaped solution for data isolation, and then cyber sense provides the analytics and the forensics for discovering, diagnosing, and remediating those attacks. So it's really all about ransomware protecting from, recovering from those attacks, which unfortunately have become all too common for our customers today. >> Excellent news Caitlin. Thanks for sharing. What's new congratulations to you and the Dell team. >> Thank you so much, Lisa, >> For Caitlin Gordon, I'm Lisa Martin. You're watching the cube. (outro music)

Published Date : Nov 13 2020

SUMMARY :

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Caitlin Gordon promo v2


 

(upbeat music) >> From theCube studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a Cube Conversation. >> Hi, Lisa Martin here with Caitlin Gordon, the VP of product marketing for Dell Technologies. Caitlin, welcome back to theCube, we are excited to see you again. >> I'm very excited to be here again. So data protection in the news, what's going on? Yeah, it's been a busy year, we had our, obviously our PowerProtect DD appliance launched last year. And then this year, we have announcements on the software side, we had announcements at vMworld, some more at Dell Technologies world. And now today we're announcing even more, which is the new PowerProtect DP series appliances, the new integrated appliances, it's really exciting. So we now have our PowerProtect DP, the next generation of Data Domain. And we have our PowerProtect DP appliances, integrated appliances. And that's all about combining both protection storage, protection software in a single converged all in one offering. It's really popular with our customers today, because of the simplicity, the ability to really modernize your data protection in a very simple way, get up, really up and running quickly. And in fact, it's really the fastest growing part of the backup appliance market. >> I have read that the integrated appliances, our market is growing twice as fast as the target market. So give us a picture of what customers can expect from the new DP series. >> Yeah, it's not that just similar to actually our DD series from last year, which is there's four models in the new DP series. And it's really all about getting better performance, better efficiency, we've got new hardware assisted compression, denser drives, and all that gives us the ability to get faster backups, faster recovery. In fact, you get 38% faster backups, 45% faster recovery, more logical capacity, 30% more logical capacity 65 to one deduplication, which is just incredible. And 60,000 IOPS for instant access, so really ups the game both in performance and in efficiency. >> Those are big numbers. You mentioned a DD launched last year, contrast it with what you're announcing now, what's the significance of the DP series. >> And this is exciting for us because it does a couple things, it expands our PowerProtect appliance family, with the new DP series of integrated appliances. But at the same time, we're also announcing other important PowerProtect enhancements. on the software side, PowerProtect Data Manager, which we've been enhancing and continuing to talk about all year, also has some new improvements, the ability to deploy it in Azure, in AWS Govcloud for in-cloud protection, the enhancements that we've done with VMware that we talked about not that long ago at VMworld, about being able to integrate with storage based policy management, really automating and simplifying VMware protection. And it's really all about Kubernetes, right? And the ability to support Kubernetes as well. So not only is this an exciting appliance launch for us, but it's also the marking of yet even more enhancements on the PowerProtect Data Manager side. And all that together means that with PowerProtect, you really have a one stop shop for all of your data protection needs, no matter where the data lives. No matter what SLA, whether it's a physical virtual appliance, whether it's target or integrated. You've all got them in the PowerProtect family now. >> Excellent, all right, last question for you Caitlin. We know Dell Technologies is focused on three big waves, its cloud, VMware, and cyber recovery. Anything else you want to add here? >> cyber resiliency, cyber recovery, ransomware has really risen to the top of the list unfortunately for many organizations, and PowerProtect cyber recovery is really an important enhancement that we also have with this announcement today. We've had this offering and market for a couple years, but the exciting new enhancement here. So it is the first cyber recovery solution endorsed by Sheltered Harbor. And if you're not familiar with PowerProtect cyber recovery, it provides an automated air gapped solution for data isolation and then cyber sense provides the analytics and the forensics for discovering, diagnosing and remediating those attacks. So it's really all about ransomware protecting from or covering from those attacks, which unfortunately have become all too common for our customers today. >> Excellent news Caitlin, thanks for sharing what's new. Congratulations to you and the Dell team. >> Thank you so much Lisa. >> Okay Gordon. I'm Lisa Martin. You're watching theCube (upbeat music)

Published Date : Oct 27 2020

SUMMARY :

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Caitlin Gordon 10 21 V1


 

>> Announcer: From theCUBE Studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE conversation. (soft music) >> Hi, Lisa Martin, with theCUBE here, talking with Caitlin Gordon, the VP of Product Marketing, at Dell technologies. Caitlin how are you? It's great to see you. >> I'm doing very well Lisa, thank you so much for having me. >> Nice to see you back on theCUBE. So lots of stuff going on in the news the last few months or so. A lot of stuff with respect to Cyber Recovery, Cyber Security, but talk to us about what's happening in the Purpose-Built Appliance Backup Appliance market. This market is growing. What's happening there, and talk to me about Dell's leadership role. >> Yeah, we've kind of come full circle. I've been in the data protection space for a while and I would say that, you know now we're looking at this as a $4 billion industry and security and protection has bubbled backup to the top of the list from an IT perspective. And one of the simplest, fastest ways to improve data protection is leveraging Backup Appliances. And there's really two segments within that. There's what I'll refer to as the target appliances and the integrated appliances. And we actually have had leadership in this space, since really the beginning. You know 50 cents of every dollar in this market is spent on Dell equipment. Where we see massive growth is really in that integrated appliance market. And those integrated appliances really simplify the deployment of not only the protection storage, but the protection software. So you can modernize your data protection, get much faster recovery, faster backups, as well as really get a smaller footprint, better efficiency, all in one single solution. And that's really where we've seen a lot of growth in the appliance market recently. >> Yeah. So as that, an integrated appliance market is growing twice as fast as targeted, give us a picture. You mentioned a few things, but kind of dig deeper into why customers are opting more and more for the integrated approach. >> Yeah that comes back to kind of a lot of the trends we see in IT overall. It's simplicity. It's ease of, how can you get to a better solution, a better outcome faster. And when it comes to integrated data protection appliances, it really it takes the guesswork out of it. You know, you have software and hardware, that's optimized to work together. You're really quick and easy to deploy, really simple to manage, 'cause it's all fully integrated and you get to a solution where you can get things like 65 one data reduction, get a very small footprint, get really fast improvements to not only backups, but probably even more importantly to recovery, get instant access to that data. And you really are able to with one purchase, transform all of your data protection. Now there's still a lot of great uses for target appliances as well of better flexibility. But, we've seen this overall you've seen this Lisa, every trend in probably IT and life, right? Simplicity. How can you get a faster, better answer? And integrated appliances really lean into that. It's as similar to what we see in the hyperconverged space, kind of in the primary storage and compute side of things. >> Yeah, I think we all want faster, simpler, better in every walk of life. One of the things this year that, in all of that lack of simplification, the complexity that we're living in that we've seen, is the rise of ransomware. It's not only on the rise, it's getting more personal. We've seen, you know, big companies, Garmin was attacked, one of the Cruise Lines was attacked, The New Zealand Stock Exchange, Facebook and Tik Tok were hacked. So we're starting to see so much more vulnerability and the ability of these hackers to expose more vulnerabilities. Have you seen that impacting your customers saying, "Hey, we need help here because now we have so many employees and devices, scattered." >> Yeah, unfortunately we have. You know, we've been talking about Ransomware Protection, Cyber Resiliency, Cyber Recovery with our customers for quite a number of years. And, now it's not a niche conversation just with financial institutions, it's a conversation with all of our customers. 'Cause either they've felt it or they've seen their competitors feel it and they need to protect themselves. So it has really become a conversation but it's not only our specialty sellers, but all of our sellers are having with our customers. And, it's really about not only being able to protect against them, which is an important part, but also recover from them. And that's really what our PowerProtect Cyber Recovery Solution is all about. And the exciting thing for us is that we actually have recently become the first Cyber Recovery Solution endorsed by Sheltered Harbor. Which really gives you an idea of the level of investment that we've made to provide that secure, automated air gap solution to give our customers that peace of mind. Because unfortunately this is becoming table stakes for any data protection out there today. >> Well, and as more and more, we see every company either becoming a data company or needing to become a data company to not just survive these times, but become successful as time goes on. To a point, it's one thing about protecting the data, but the actual need is to recover it should anything happen. Tell us a little bit more about Sheltered Harbor and what you guys were the first there to receive? Tell me a little bit more about that. >> Yeah, absolutely. Okay a little bit more on overall our solution and Sheltered Harbor is actually a consortium of organizations, primarily financial institutions that have really come together to define the standards, of what we need or Cyber Resiliency for Cyber Recovery. And for us with PowerProtect Cyber Recovery, we've worked closely with that organization, to meet those standards. And with that work and with that actual deploying in with one of our customers, we were able to become the first Cyber Recovery Solution endorsed by Sheltered Harbor to meet their standards there. And what's an important about our solution is that it's both that automated air-gapped solution for the data isolation, which is a part of it. But it's also, we have the CyberSense analytics and forensic tools that give you the ability to discover, to diagnose and to remediate against these attacks. So it gives you both sides of protecting that data air-gapping it, but also being able to intelligently discover and remediate against those attacks, if they do indeed happen. >> As VP of Product Marketing, I'm sure you're with customers often these days virtually. When you're having customer conversations, as you were singing out data protection and being able to recover and remediate, should anything like a ransomware attack happen, that's business critical. That's, you know, lifeline kind of stuff we're talking about. Have you seen the conversations within customer organizations shifts or is this now a board level or a C-level conversation in terms of data protection? >> Yeah, it's interesting. It's become a more frequent conversation. The people involved, are different. It's not just the backup administrators that are involved, it's really about the overall compliance strategy, the CSOs that are involved here. And it's becoming a corporate mandate as it really unfortunately needs to be at this point. So it's coming up more frequently, but also the types of people involved in that conversation have really changed the types of things we're having to talk about and build solutions for. So it's really changed that dynamic for us. And it's been great to really be on the front lines of that with our customers. You know, it started with those financial institutions and now it's really commonplace, to talk about this with everyone. >> So let's talk customers. Give us an example or two of some customers that are leveraging this new technology that are really achieving like the big deduplication ratio that you talked about, but also enabling their business to move forward. >> Yeah. One of my favorite ones for a couple of reasons I'll confess is, World Candy. Actually there are a World Corporation, but to me, they're a candy company. They actually make some chocolate out of Pennsylvania one of my favorites, chocolate covered pretzels. And they're a great example, right? 'Cause they're certainly not an IT specialty organization. They're trying to contract manufactured candy and they want to get things done as efficiently as possible. So they were looking a solution to overall modernize, their overall IT and that came with the combination of an Integrated Data Protection Appliance, as well as VXRail. And by implementing that, they were able to reduce their backup times from running overnight all night, to just two hours. They were able to get dedupe ratios of a 12O to one, 99.2% reduction, which is just incredible. And they were able to reduce their physical server footprint by 60%. So you can just imagine with an organization like this, that needs to run things as efficiently, as simply, as quickly as possible, how transformational that is. And, probably one of the other things that we find out of customers like this is, it's really about finding them a partner that can solve all of their problems in one place. And for data protection that's certainly one of the biggest things for PowerProtect is we now have a one-stop shop appliances software for all your data protection needs, large and small. And my favorite thing is actually our quote from this customer which is, he calls it a perfect partnership and that they have a single hand to high five. And we love to get those high fives from our customer and we really like to be that partner for them and to help them solve these challenges really no matter where their data is or what their challenges are. >> I like that a single can for a virtual high five. Speaking of partners, what's the channel play here? >> Yeah, absolutely. I mean, for us, Dell Technology is overall channel partners are absolutely critical and in the data protection space, probably even more so. So channel partners are a huge part of our go-to-market. And one of the reason that channel partners really like to work with us, with Dell technologies on the data protection side, is because of the breadth of that portfolio. And now with our most recent enhancements on the appliance side, you now have a full PowerProtect portfolio. Target appliances, integrated appliances, physical, virtual, as well as modern data protection software with PowerProtect data manager. And for our partners, and for us, it's so important that they can have one vendor to offer all of these solutions because we know that our customer's challenges are complex, they're diverse, their data sets are diverse and they need to be able to partner with someone, leverage us as a vendor, leverage our partners, leveraging us as a vendor to really give our customers that answer. And that could be very different needs. They have traditional applications, they have new modern applications in Kubernetes and the growth of, and the importance of those types of applications. Our partners don't want and our customers don't want to have to deal with multiple vendors. Multiple vendors actually can increase risk, increase costs. They want to keep that simple, efficient. And that's why partnering with us, with Dell Technologies, why our channel partners really find us to be such a critical vendor to work with on the data protection side. >> So you've shared some impressive stats about what the technology is able to deliver. You gave us the great World Candy company example in terms of the things I heard a big workforce productivity there, they've got big deduplication there. They're able to sounds like reduce their on-prem footprint. From an economic value perspective, help us understand what the economic value of the DP series and even maybe feedback from the analyst community. >> Yeah, we've actually got a recent study which I'd encourage you guys to go read and I will just kind of give you the Cliffs Notes version of it. Which shows you the advantages of leveraging Dell Technologies portfolio for data protection. You can have your cost to protect as low as 1 cent per gigabyte per month, which is impressive. And that's that efficiency that you can get with PowerProtect. It's a reduction in the administration costs for data reduction of 22%, a reduction of 84% in your Cloud resources and services. We all know that people have moved to Public Cloud and probably one of the biggest concerns is the cost of that. By implementing the right data protection solutions, leveraging our in-cloud backup and protection, you can actually significantly reduce that because of the way that we've implemented it. And overall, you can't argue with anything that reduces costs by 98%. So you can reduce your storage resource costs by 98% by leveraging the PowerProtect portfolio. And again, it's a recent ESG study, which you can find on our website and read more about that study and the economic elements that lead into that. But you can just see the dramatic impact that can have, not only are you protecting your most valuable asset of data, but you're doing so in a way that saves the company money, and time and resources. And we all know that's never been more critical than ever. >> Those are very impressive, but compelling stats. Last question, talking about the three waves that we know Dell technologies is writing, we've got VMware, Cloud, Cyber Recovery, give us a flavor of the launch and the news and the new capabilities for this one-stop shop with perspective of what's happening in Cyber Recovery today. >> Yeah, so we've got enhancements on all fronts. So we, let me go in order there. So we've got on the Cloud front our PowerProtect data manager, which we've talked about a lot this year. We continued to really enhance that. Some recent enhancements, the ability to deploy that in Azure and AWS Cloud, to be able to do in-Cloud data protection. On the VMware side as we talked about just recently at VMworld, we've got new integrations with Storage Based Policy Management to really simplify and automate protection for the Vadmins as well as protection administrators. The ability to support, real mission critical applications and VMs, that are something we're working on to be able to more intelligently protect those VMs that have become more challenging to protect in traditional methods as well as integration with protect VCF. And then lastly, I think we've covered a bit today is certainly on that Cyber Recovery, Cyber Resiliency solution. First one to be endorsed by Sheltered Harbor in providing that air gap solution, as well as that ability to discover to remediate from those attacks. And you can kind of get a sense of, where we're really focused on. Those are our big three areas in both our appliance as well as our software portfolio really focused on simplifying that for our customers. >> Well Caitlin, we thank you for joining us as per what theCUBE has seen for many years with Dell Technologies. Lots of innovation, continued innovation. We thank you so much for joining us on theCUBE today. >> Thanks so much for having me. It was great to be here, Lisa. >> Excellent. With Caitlin Gordon, I'm Lisa Martin. You're watching theCUBE. (soft music)

Published Date : Oct 21 2020

SUMMARY :

leaders all around the world, It's great to see you. thank you so much for having me. So lots of stuff going on in the news And one of the simplest, fastest ways for the integrated approach. Yeah that comes back to One of the things this year that, of the level of investment that we've made but the actual need is to recover it And for us with and being able to recover and remediate, And it's been great to ratio that you talked about, and that came with the combination the channel play here? and in the data protection space, of the DP series and even maybe feedback and probably one of the biggest concerns and the news and the new capabilities the ability to deploy that We thank you so much for Thanks so much for having me. (soft music)

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Caitlin Gordon 10 21 Promo V1


 

>> Announcer: From theCUBE Studios in Palo Alto in Boston, connecting with thought leaders all around the world. This is "theCUBE' conversation. >> Hi, Lisa Martin here with Caitlin Gordon, the VP of Product Marketing for Dell Technologies. Caitlin, welcome back to 'theCUBE' I'm excited to see you again. >> I'm very excited to be here again. >> So data protection in the news, what's going on? >> Yeah you know, it's been a busy year. We had obviously our power protect DD appliance launched last year and then this year, we've have announcements on the software side. We had announcements at the VMworld some more at Dell Technologies world. And now today we're announcing even more, which is the new PowerProtect PP series appliances, the new integrated appliances. And it's really exciting. So we now have our PowerProtect DD,xx the next generation of data domain, and we have our PowerProtect DP appliances, integrated appliances. And that's all about combining both protection storage, protecting software in a single converge, all in one offering. It's really popular with our customers today because of the simplicity, the ability to really modernize your data protection in a very simple way, get up really up and running quickly. And in fact, it's really the fastest growing part of the back of appliance market. >> I have read that the integrated appliances, our market is growing twice as fast as the targeted market. So give us a picture of what customers can expect from the new DP series. >> Yeah, and it's not that dissimilar to actually our DD series from last year which is there's in four models in the new DP series. There's a 4,400 which is actually now taking the PowerProtect brand and putting that on the existing DP 4,400 and then three new appliances: the 5,900, the 8,400 and then the 8,900. And it's really all about getting better performance, better efficiency. We've got new hardware, assisted compression, denser drives, and all that gives us the ability to get faster backups, faster recovery, in fact you get 38% faster backups, 45% faster recovery, more logical capacity, 30% more logical capacity, 65 to one theater application, which is just incredible and 60,000 IOPS for instant access. So really ups the game, both in performance and an efficiency. >> Those are big numbers, you mentioned the DD launch last year, contrast it with what you're announcing now. What's the significance of the DP series? >> And that this is exciting for us because it does a couple things. It expands our PowerProtect appliance family with the new DP series of integrated appliances. But at the same time, we're also announcing other important PowerProtect enhancements. On the software side, PowerProtect data manager, which we've enhancing and continuing to talk about all year also has some new improvements. The ability deploy it in Azure, in AWS GovCloud for in-cloud protection. The enhancements that we've done with VMware that we talked about, not that long ago at VMworld about being able to integrate with storage based policy management, really automating and simplifying VMware protection. And it's really all about Kubernetes right And the ability to support Kubernetes as well. So not only is this an exciting appliance launch for us, but it's also the marketing of yet even more enhancements on the PowerProtect data manager side. And all that together means that with PowerProtect, you really have a one-stop shop for all of your data protection needs no matter where the data lives, no matter what SLA, whether it's a physical, virtual appliance, whether it's target or integrated, you've all bought them in the PowerProtect family now. >> Excellent. All right. Last question for you, Caitlin we know Dell Technologies is focused on three big waves, it's cloud VMware and Cyber Recovery. Anything else you want to add here? Yeah, I'll pick up, especially on that last one, we talke%d a little bit about the enhancements we've done with cloud in cloud data protection, longterm recovery, disaster recovery, as well as what we've done on the VMware front, really important that we continue to have that automation at simplicity with VM-ware but cyber resiliency, cyber recovery ransomware has really risen to the top of the list. Unfortunately for many organizations and PowerProtect cyber recovery is really an important enhancement that we also have with this announcement today. We've had this offer in market for a couple of years, with the exciting new enhancement here. It is the first cyber recovery solution and endorsed by Sheltered Harbor. So it is the first Cyber Recovery solution endorsed by Sheltered Harbor. And if you're not familiar with PowerProtect data, PowerProtect, if you're not familiar with PowerProtect cyber recovery, it provides an automated air gapped solution for data isolation and then cyber sense provides the analytics and the forensics for discovering, diagnosing and remediating those attacks. So it's really all about ransomware protecting from protecting from or covering from those attacks, which unfortunately have become all too common for our customers today. >> Excellent news, Caitlin. Thanks for sharing what's new congratulations to you and the Dell team. >> Thank you so much, Lisa. >> For Cait%lin Gordon I'm Lisa Martin. You're watch%ing 'theCUBE'. (calm music)

Published Date : Oct 21 2020

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Caitlin Gordon, Dell Technologies and Lee Caswell, CPBU | Dell Technologies World 2020


 

>>from around the globe. It's the Cube with digital coverage of Dell Technologies. World Digital Experience Brought to You by Dell Technologies Everyone welcome back to the cubes Coverage of Dell Technologies World Digital Experience I'm John for your host of the Cube Cube. Virtual. We're not in person this year were remote We're doing The interviews were not face to face. So thanks for watching two great guests to talk about the Dell Technology Storage and data protection for the VM Ware environments got Caitlin Gordon, vice President, product management, Dale Technologies and Leak as well. Vice president of Cloud Platform Business Unit, also known as CPB. You for VM where Lee and Cable in Great to see you both. Thanks for coming on. >>Thanks for having me >>s So what? What a crazy year. We're not in person. Usually the the events Awesome. VM world recently went on and then you guys have the same situation role online now and it's >>really kind >>of highlighted the customer environments of cloud needed. But I've been saying this on all my reports and all the Cube interviews that the executives who are in charge and now saying, Look at our modern APS have to be cloud native because the obvious benefits are there and container ization has become mainstream. But yet I d c still forecast about 15% of enterprises are still fully containing rise, with a huge amount of growth coming around the corner. So you're seeing this mature market where containers are validated, they're being put into production. People are now moving hard core with containers. And you have the kubernetes. I gotta ask you, Li, I'm Caitlin. What does this mean for the customers? Are they getting harder pressure points to do things faster? What does it all mean for the customer? >>Yeah, I'll start. Only you can add to it. I mean, I think what we see is the trends that were already happening of now. Accelerated and modern APs were kind of the top of the priority list, but now it has is really expedited. But at the same time, traditional applications haven't gone anywhere. So there's this dichotomy that a lot of I t is dealing with of head Oh, accelerate those modern APs while also streamlining and simplifying my environment for my traditional laps. And not only do I need to the right infrastructure to have that for production workloads, modern, traditional, but also form a data protection standpoint. How to ensure that those are all secure and do all of that in a way that simplifies life for whether it's the data protection admin, the BM admin or even the developer right, all of the different folks involved and needing to make all of their lives simpler has just really exacerbated a challenge and really given us a lot of opportunity to try to solve that for customers together. >>Lee, What's your take on the landscape out there? >>Yeah, I'd emphasized that speed really matters today, right? That we're really looking at. How do you go and deploy new applications faster, right? New ways to get engaged with customers. I mean, it's not happening physically anymore. So how is it happening while it's happening largely through applications? And so as you now basically develop new applications more quickly, containers are a way to speed the pace of applications, and the theme that you know we continue to drive home is that that means infrastructure has to respond more quickly, and it means that for the teams that are managing infrastructure, it really helps if you have a consistent model where you can get mawr done with the same teams and leverage all the experience you have, as well as the security and infrastructure resiliency model that we're bringing together to our customers. >>This brings up the real question, and if this comes up, kind of you see more of the executive level like we need to have a modern application direction. They'll go. Everyone goes, Yeah, of course. Thumbs up. Then they go Try to make that a reality because even though Dev ops and Infrastructures Code is still the viable path, it's hard. It's like Caitlin, we're talking about EJ to core Data center hybrid the multi cloud. There's a lot going on under the hood there. So you guys are doing a lot of stuff together. VM Ware and Dell Technologies. What's the solution for customers? They gotta move faster. As lead pointed out, Caitlin, how are you guys working together to make that infrastructure more modern, faster, programmable and reliable, >>and make it simpler for the customers right? I think it really comes down to one of the most powerful things about the partnership is that from the dull technology standpoint, we have really a plethora of different solutions to support your VM or environment. Whether it's a three tier architecture with Power Edge power store or leveraging the X rail. Or very commonly, it's gonna be both of those. You have the right infrastructure to support the production workloads and have a consistent operating model between them leveraging devils and primary storage side and all the integrations we have with the ex rail. And then we have with power, protect data manager Great integrations in some recent enhancements that make that even better and are now able to protect Tan Xue, protect the VCF management domain and not only have the storage, but also the protection for that environment. But do it in a way that supports what the V A madman needs and also gives that consistent protection, consistent storage, consistent operating model for the rest of I T. And at the same time you're enabling the developers to move faster. >>Lee, You guys have been doing a lot of joint development, and we've been covering a lot of the news VM world. Ah, lot of joint engineering, a lot of joint integrations. You guys have been collaborating with Dell Technologies for a long time. Also, the relationship. Where is that Today? Can you expand on that a little bit and take a minute to explain the joint >>collaboration? I'll start with the fact that you know, good marketing is really easy when you have great engineering. And so the work that we're doing together, like between our companies. Now we have a lot to talk about, right? E mean the work scaling mentioned right around Devil's integration, for example, on power Max right on da npower store, right? I mean, you start looking at the integration work that we're doing together. It means that customers are getting the benefits of the joint integration work and testing right that comes and so you're guaranteed out of the box toe work. Also, you know, don't forget that contain owners and all of the things we're doing around containers. It's basically designed thio accommodate the fact that containers air spun up more quickly or destroyed more quickly, their shared across the hybrid cloud more frequently and without an inherent security model and built in data protection. It's really hard to go and see how you can deploy these with the enterprise resilience that's demanded at enterprise scale. And so that's what we're doing together, right? And, you know, we build great software, Uh, but without great hardware partnerships, it's one hand clapping, right. It's about getting our teams together, right? That really makes it sing at the customer level. >>You know, I think that's a really example of the business. Performance results have come in Vienna, where you guys were doing a great job. Go way back to the years ago when Pat and Raghu we're talking with from Amazon and all. Since then, it's been joint development, join integrations, and that's a great business model for you. And so, Caitlyn, I wanna get back to you. Because at VMRO we covered Project Monterey, the new initiative for the anywhere but a year before they had Project Pacific that came toe life with product results. Tan Xue specifically, you guys have the power protect data manager that we talked about in the summer, but now for Tan Xue supported and Tan Xue environments that super relevant, can you share any updates on your end on the power protect Data Manager and Tan Xue? >>Yeah, I li I couldn't agree more that great engineering mix our jobs a lot more fun and a whole lot easier. So we've been really lucky. And the partnership we've had has really never been stronger. So yeah, but the most recent release of power protect Data Manager introduces the support for that tan xue protection. It also introduces really important things like storage, storage based policy management. So in in biosphere, when you set up a storage policy, you have data protection as part of that and you have the integration with power protect data Manager. So you're able to automatically protect new VM that are created by that storage policy of being applied. >>But >>at the same time, it's also being tracked in power. Protect Data Manager. So you have that consistency across enabling your vitamins and enabling your data protection your i t. Team. To keep track of that, we also have ah tech preview that we did at VM World about how we're working as from Dell technology standpoint to innovate around. How do you protect some of these VMS that are so large and so mission critical that you need to be able to protect them in a new and innovative way that doesn't disrupt the business. And we did a tech preview of that, and it's something you'll hear more about from us, too. But it's PM traditionally would be in this category of unprotected ble because of the impact it could have on the environment and how we're really looking to do that in a more efficient and intelligent way. So we can actually protect those be EMS. And there's there's really a whole lot more. When you talk about objects, scale and everything else that we've done, it's really exciting. And you don't think Lee and I have ever talked as much as we do now. Ah, and it's been a lot of a lot of fun. >>It's been great following both of you guys on the keep interviews over the years. The success in the vision We had early conversations about what the plans where it's kind of all playing out. So I want to congratulate both of you of VM Ware Adele Technology. So good job going forward. The collaboration. I want to get to that in a second, you'll into it. But Caitlin Lee, I want to get your thoughts because one of the big themes this year besides covert and all the issues that that's highlighting. But in the cloud world, automation has been the number one conversation we've been hearing, and with that you got machine learning all the tech around that as you abstract away. The complexity of the infrastructure to make the modern APS automation has been great. The business cross connect is everything is a service we're seeing. This is the big wave coming. Could you guys share your vision on how all this stuff you mentioned V balls and all objects scale all these things? There's a >>lot of >>plumbing underneath and a lot of tooling, a lot of part piece parts. If that gets programmable, >>automation >>kicks in, which then enables everything is the service because you guys both share your vision of what that means in terms of what's going to change and what would it impact the customer? >>Yeah, and it's very relevant for this week, right? Dell Technologies world. That's a big part of what we've announced this week in our commitment to really bringing our portfolio as a service, and it's really interesting, especially for folks like Lee and I, who have been doing kind of mawr product marking and talking about speeds and feeds and thinking about how you make the product life simpler. And how do you automate that? Have the intelligence built in things like Biaro have been such an important part of that, especially with power store coming to market. But if you think about where that leads us, actually changes everything, which is when you have everything as a service and we're really delivering outcomes to our customers and no longer products. That automation is actually just a important and maybe even more important. But it's not the end user that cares about it directly is actually us, because as Dell Technologies, we become the ones managing that infrastructure, owning that infrastructure and the more automation we can bring in, the more intelligence we can build them for ourselves. The more insights we can give to our customers, the better that service can become. And it's really a flip from how we've always been thinking about and really rolling out automation. It's not actually about enabling our end users to do anything. It's actually about enabling them to not worry about any of it, but enable our own organization to support their outcomes better. So it really changes everything. >>Lee, what's your thoughts on this? Everything you've got, V Sphere V Center. You've got all the storage you got all the back up. All this stuff has to be automated. Makes sense. But as a service, how does that impact your world? >>You know, it really does. When you think about the VMRO Cloud Foundation, right, which is the integration of all of our V sphere with Visa. And with these, you know, our NSX products that will be realized. Management suite. Tom Zoo now, right, All of this pulled together. One of things that's interesting is when you go to the public cloud, we have some experience now where we always deliver that full stack together. And what that does is it frees up customers. Thio, go on, focus on the applications, I think and stop looking down the infrastructure. Start looking up at the APS. And so we're offering and bringing that same level of experience to the on premises data centers. And now bridging that across the hybrid cloud that all of a sudden gives you this sense that Hey, I'm future ready. No, matter where I am today. If I'm thinking about the hybrid cloud, I could go on move there, right. And with our partnership with Dell Technologies, there's such a great opportunity to bridge that uniquely, by the way across all of my on premises infrastructure, including common policy based management, back into storage through RV Valls efforts, right and then back in through objects scale right into objects based, uh, applications and through our DP efforts to data protection efforts, then back into, like, date full data protection. And so what you get now is we're helping customers realize that I got this. I could take new Cooper navies orchestrated applications and I could make them work and do it with the same operational model that I have today. Start spending more time on the applications, less time, basically configuring and managing underlying infrastructure. >>Caitlin you mentioned that earlier at the top of the segment, ease of use, making it easier, simpler, great stuff on the on on the future. Lee, I gotta ask you about Project Monterey. We did a lot of coverage on VM World on silicon angle in the Cube. I love how this comes out. It's always, You know, the brain trust that VM Ware lays out the future, they fill it in throughout the year, expect to see some meat on the bone there. But what is that gonna do from for new capabilities and how with Dell Technologies? Because, um, it's end to end, right this Michael Dell and I talked, I think, two years ago, a Dell Tech world. And then last year, he hit the point home hard and to end with Dell Technologies. It kind of feels like it's gonna be a good fit. Could you share how that Monterey project fits in with Dell Technologies? >>Yeah. We're so pleased to be showing this together with Dell Technologies at the VM World to showcase this new idea that you could basically go on, start offloading CPUs and using smart knicks as a way to basically now provide, um or let's call it a, You know, a architecture that allows you to, uh, be responsive to new application needs. So let me talk a little bit about that. So when we opened up Tansu, right, we got this complete inflow pouring of new container base kubernetes orchestrated APS. So what? We found was, Hey, they're driving a lot of CPU needs their driving a lot of scale out security needs for things like distributed firewalls. And so we started looking at this, and what's clear is we need to basically use the CPU very judiciously, So it's basically reserved for the APS. And so what we're doing now is we're basically saying there's an opportunity for us to go in, offload the CPU for things that look more like infrastructure, including S X, I and other things. And at the same time, then we could go and work together with Dell Technologies to be the deployment vehicle. And so, just like Project Pacific, which was going broad, if you will, this project moderate, which is going deep like the canyon, John not far from here, um is, you know, a source of all new discovery right where we'll be working together and over time, just like the Project Pacific name faded to black and became product Tan Xue vcf with Tom juvie sphere. With Hangzhou, we'll see that Project Monterey will evolve into new products coming together with Dell Technologies. >>Caitlin, can you elaborate on Take a min, explain the product how this renders into products because I can also imagine just the benefits just from a security standpoint. Efficiency. If the platform, um, there's a range of things, could you take a minute to >>explain the >>impact on products? >>Yeah, I think you'll hear a lot more about it, but we're obviously excited to be partners on this is Well, and I think it's It's just another example of the more intelligent the infrastructure can become than the rest of the entire I T organization can run more efficiently and that that can come in the form of the A. I built into power, Max, that can come in the form of the evils that we have both in Power Max and Power Store that can come in the form of even just the fact that we have now built a fully containerized S three compatible objects or platform called objects scale which we have no in early access. Um, that can run on the V sand data persistence platform, and it just gives you the ability to leverage this all of the right technology. And we can continue to really partner on that. I think Project Monterey really opens up even more opportunities to do that, and you'll certainly hear more from us on that in the future. >>I >>mean, you got compression, you got encryption. A lot of benefits across the board. Great to have you guys both on and your graduation. The great event. Final question for both of you, talk about this has been a crazy year. We're not face to face, so everything will be online. What should customers and partners and people watching know about the relationship between VM Ware and Dell Technologies this year? What's the big message to take away? What should people walk away with and and think about? >>I think it's It's never been stronger than ever, uh, than it's been than it is right now. We have never had >>more >>breath and more depth of integration. I think that the partnership on the engineering level, on the product management level on the marketing level, we have really never been in a better place. And you know what? What? My team is really enjoyed with VM world season and you're coming up on Deltek. World season is we've really enjoyed the fact that we've had so much richness >>of >>that integration to talk >>about, and >>we also know there's even more coming. So I, you know, from from my standpoint, if we really feel it and probably the best and most rewarding time we hear about that, is when we bring new things into market, we hear that back. And when Power Store came into the market and over the past few right kind of first months in market, one of the most resounding feedback that has come out as one of the most differentiated parts is that it? It's so incredibly integrated with VM ware. But we've even gotten questions from analysts asking, you know, did you purposely make it feel like you are really working similarly to a B M or environment? And you know what? That just shows how closely we have been working as organizations is that it comes a very seamless experience for our customers. >>Lee Final Word. >>What >>should people walk away with this year on the relationship between Be and we're in Dell Technologies? >>Well, I think the best partnerships right are ones that are customer driven. And what you're finding here is customers. They're actually encouraging us, right? We're doing a lot of three way meetings now, right where customers like, Hey, tell me how you're going to go involved this. How do I How do I basically modernized right and preserve my existing investment, perhaps Or, you know, update here, Or how do I grow like customers have really complex individual situations. And what you confined right is that we're helping jointly not, you know, just simply with the engineering side, which is awesome, but also with the idea that we're helping customers go on deploy responsibly in a time where it's very difficult to plan. And so if you come to us, we can help you jointly plan for the future in uncertain times and make sure that you're gonna be successful. And that's just a great feeling when you're a customer looking at, How do you deploy going forward in this? You know, with the amount of pace of change that we've got, >>I want to congratulate. Both of you have been following you guys. Success has been proven out on the business results and also the products and the enablement that you guys are providing customers been great. Thanks for coming on. Great to see both of you have a great event. Thanks for. Come on. >>Thank you. It's a pleasure. >>Okay, I'm John for your here with the Cube. Covering Del Technology Worlds Digital experience 2020 The Cube Virtual. >>Thanks for watching.

Published Date : Oct 21 2020

SUMMARY :

It's the Cube with digital coverage of Dell VM world recently went on and then you guys have the same situation role online now And you have the kubernetes. But at the same time, the experience you have, as well as the security and infrastructure resiliency model that we're bringing So you guys are doing a lot of stuff together. devils and primary storage side and all the integrations we have with the ex rail. Can you expand on that a little bit and take a minute to explain the joint It's really hard to go and see how you can deploy these with you guys have the power protect data manager that we talked about in the summer, And the partnership we've had has really never been stronger. of the impact it could have on the environment and how we're really looking to do that in a more efficient and with that you got machine learning all the tech around that as you abstract away. If that gets programmable, owning that infrastructure and the more automation we can bring in, the more intelligence we can build You've got all the storage you And now bridging that across the hybrid cloud that all of a sudden gives you this that VM Ware lays out the future, they fill it in throughout the year, expect to see some meat on the bone there. And at the same time, Caitlin, can you elaborate on Take a min, explain the product how this renders into products because I can also that can come in the form of the evils that we have both in Power Max and Power Store Great to have you guys both on and your graduation. I think it's It's never been stronger than ever, uh, than it's been than it is right now. level, on the product management level on the marketing level, we have really never that has come out as one of the most differentiated parts is that it? And so if you come to us, we can help you jointly plan for the future in uncertain times and also the products and the enablement that you guys are providing customers been great. It's a pleasure. Okay, I'm John for your here with the Cube.

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Akanksha Mehrotra & Caitlin Gordon, Dell Technologies | Dell Technologies World Digital Experience


 

>> Announcer: From around the globe, it's theCUBE with digital coverage of Dell Technologies world, digital experience, brought to you by Dell Technologies. >> Hi, I'm Stu Miniman and this is theCUBE coverage of Dell Technologies world digital experience. Happy to welcome to the program. First we have a first time guest Akanksha Mehrotra, she's the Vice President of Marketing with Dell Technologies. Joining us one of our CUBE alumni, Caitlin Gordon, she's the Vice President of Product Marketing, also with Dell Technologies. Caitlin, welcome back, Akanksha welcome to the program. >> Thank you Stu, happy to be here. >> Alright, so one of the big models we've been talking about for the last few years is a change in how customers acquire things, big thing we've talked about, for many years, this shift from CAPEX to OPEX. How cloud is impacting everything Jeff Clarke in the keynote was talking about, it's the Dell Technologies on demand, DTOD, I guess is the, four letter acronym we use Akansha help us understand a little bit from your standpoint, what is it? Why is it important to your customers? >> Yeah, so Stu, as soon as you as you heard, as part of the keynote, from from Jeff and others earlier today, we've been working really hard to bring the benefits of on demand IT to our customers, in private cloud, public cloud and edge. And certainly this year, especially, we've seen a lot of interest in this, COVID have catalyzed customer interest in flexible consumption in as a service. As we talk with our customers and partners, we hear this almost daily, it's required a level of agility that candidly traditional CAPEX based models simply haven't been able to provide, I mean, imagine taking your workforce remote over the weekend, and the stress that puts on your infrastructure. And so I think that's kind of forced IT to consider some of these alternatives. Another factor has also been, companies have been wanting to preserve capital, right, and avoid large cash outlays and having this type of flexibility and being able to pay for infrastructure, as you're using it, it gives them a way to do that. So I mean, those are some of the customer drivers that we've seen. Last year at Dell Tech Summit, around the this time last year, actually, in November timeframe, we introduced Dell Technologies on demand as our umbrella program for a flexible consumption and as a service solutions. And really what it what it seeks to do is make it easier for customers to get the simplicity and flexibility of cloud, along with the performance and security of on-premises infrastructure. So it's giving them a range of consumption models that include both payment option as well as services that they can apply on any one of the products in our portfolio from end user devices to core data center infrastructure to hybrid cloud solutions. And we've announced that last year, one of the things that you heard about today, and that we're announcing over this event is that we're continually looking to make it easier and simpler for our customers with various turnkey offerings and simpler offerings for them, given the interest that we've seen. >> Yeah, I want to key off of, you mentioned the impact of COVID-19. And for your customers, it's something we've definitely seen that the promise of cloud always has been to be highly flexible, we can scale up, we can scale down. We know that some services out there aren't always as flexible as we might hope. There's certain SaaS solutions, where you're signing up for a multi year offering and even for the cloud, I might lock in some savings by buying something in bulk. So help us understand, what are the benefits that your customer sees, the savings that they get and is this truly cloud flexible, which means I can burst up and scale as I need. And I can it reached the point, oh, hey, I need half the capacity for the next six months. Can I do that? >> Yeah, absolutely. So, Stu we actually commissioned IBC to talk to a few of our customers. So let me maybe share some of the benefits that they saw in broad terms, and then I can maybe share a specific example of what a particular customer saw. So we had IDC talk to several of the customers using Dell Technologies on demand models, various GIOS, and various sort of sizes. And what they found was that on average, they saw about a 23%, lower cost of storage operations per year, which is great, right? Lower cost of operations is always great. IT is always looking for those efficiencies, especially, in the current environment, but that's not all. I think that's just sort of part of the story. What they also shared with us is that, these types of models were able to help them become much more agile in how they work and change how they work. And what they found was that they saw 54% fewer incidents of downtime and they were 92% faster in their ability to deploy storage capacity, because they had that capacity in their data center available ready for that spike when their business saw it. ` So those are just some of the broad examples of what our customers have seen. Another specific example that I would would share with you is a large multinational institution, financial services company, we've been working with them for years to service their, enterprise scale, private cloud. And then more recently, they had us also, manage their storage as a service managed utility. And they've seen phenomenal results, they've been able to get 50% more compute power at 8%, lower cost, and 90% faster or reduce time and provisioning data. It's all about the yes, it's about the cost savings but really, it's about the agility that the business gets, right. And as you started out, right, with COVID, they really needed that agility and that flexibility and having these models available, ready to spike, ready to go down, right, have been able to provide that. >> Yeah, I think another thing we've seen is, people rush to cloud because it promised that agility, and we've had those conversations before is, there's a reality of what that means, which it might not be the resiliency you're looking for, it also might not actually be as simple as he thought it might be. And we're seeing some of that come back on-prem, whether you need resiliency or performance or security, or you don't want to be really locked into a specific public cloud but you still want to have that agility in the benefits of really running your data center in a service oriented model. And that trend has been picking up over the past couple years. And as we've already said a couple times today, we've seen that accelerate, but also, we starting to see more customers ask for it. It's not just the big and more strategic and the aggressive customers that are looking for this more and more customers are kind of seeing that this is the end game and that's kind of leads into where we're going, which is, how do we make this more accessible to others? >> Well, Caitlin, you're using one of one of my punch lines that I've used for a number of years now if remember, when we thought that cloud was inexpensive and easy to use, it's not. And if we look at what customers are doing, it's a hybrid model. They're deploying in multiple environments, we're seeing the public cloud look more like the enterprise, the enterprise look more like, the public cloud. So these offerings have, OPEX flexibility and the like, make a whole lot of sense. So you've said that, you've seen a lot of growth, especially this year, any metrics you can give us on, adoption, love the one customer example, in the financial space, anything else to kind of paint the picture as to, how prevalent this is becoming. >> Yeah, maybe I'll get started. So, we've seen nearly 50%, year over year growth in the customer base or our most recent quarter, and it's growing, we've seen over 500% increase, year on year in signed contracts, customer demand in these types of models has caused us to expand our offerings to into countries like Brazil, Chile, Colombia, India, and China. I mean, we already offered about 50 plus countries and along with our partner, network and even more, so, I mean, those are just some of the data points around business traction. In the models that we have another proof point that I could point you to is that, in April, we include, we announced a payment flexibility program, which gave our customers a number of promotions and options to extend this flexibility into, across our portfolio and into other parts of our businesses. And just recently, about a month ago, we extended that, and we've seen really good traction in that as well. So I think overall, like you said there's aspects about public cloud that customers really like, and they tell us, hey, I want to be able to pay as I go, I want to be able to extend and contract the infrastructure as I'm using it. I want a simple management experience. But then as Caitlin said, they realize that Oh, but I don't want to, pay for the refactoring and then the egress and the ingress charges and some of my workloads are better off on premises for performance, locality, security, compliance reasons, right. And therein lies the promise of as a service for on-prem infrastructure, 'cause really, I keep looking for the best of both worlds. And this gives you that right you can use the consumption models to grow and shrink as you needed, you can us the payment models to only pay for what you're using and along with our partner network, you can have in the location that you want so you can sort of have your cake and eat it too. >> Yeah, and I would just add on to that is that more and more of the conversation is both about how can I consume that more as a service and pay for just what I'm using? But also, how can I spend less time maybe zero time and energy actually managing that infrastructure? And how can I then allocate the time energy resources into running my business and investing in more strategic things? So becomes both an important financial conversation but even more so a conversation about how IT can empower the business, which really just changes what we're able to do for customers. So it's an exciting kind of transition to see this really evolve into really not talking about products anymore, and helping our customers have all their business. >> Well, Caitlin, that's a really interesting point, I want you to talk to us a little bit about the Dell Tech storage as a service, how does that fit, we were just talking about don't want to talk about products, we want to talk about really moving to that full OPEX model so help connect the dots for us. >> Yeah, so we're really excited about this, this will be coming in the first half of next year, as you probably heard earlier today. And what we're doing here is we've really taken what we already have had in market. And we've really upped that to the next level, we've accelerated the simplicity of what we offer here. And think of the experience is all starting in a single console, where you just pick up four things, what's the type of storage you want, what's the performance you want, how much and for how long, that's it. And then now we're counting the time from then to when it's in your data center in days, not months, not weeks, but in days and we're able to get you up and going. And it's your data center of your choice, whether that's on-prem in your own data center, or at a colo facility, we bring that equipment in, we get that deployed, we manage it for you, you operate it, and you simply pay for what you use. So you're really in a quick time to value you're in a very simple model and you're not really responsible for managing infrastructure that's really on us. And that moves you into being in a true OPEX model and it also enables you to accelerate what you're able to leverage that whether it's Blob Storage, file storage, you can get up and running quickly and let us worry about how to manage the infrastructure and we give you the ability to operate what you need to. >> Caitlin, maybe if you could give us a little bit of color as to what happens behind the scenes to make that work. As it sounds wonderful, you've had the program around for a year, these aren't trivial things that you're talking about all the logistics, the management the the gear, and making sure that the physical and the power and everything is all set. So help us understand the engineering, the development, and what this means from kind of a services and go to market that make a solution like this work. >> Yeah, and a lot of ways we're having to change our entire business to help our customers change there's, it goes from top to bottom, and you'll get to hear a lot more about it when we're actually available next year. But when you think about it, we have a lot of the DNA, we have a lot of the experience, we have the technology, but we almost have to completely flip the script on ourselves of how we deliver it, who our customer is, what our then end user customer needs from us, and what the role of things like our global services organization is what the role of our global sales organization is and how do we accelerate providing outcomes to our customers and get the rest out of their way. And the fact that I haven't mentioned a product name, but by the way, we actually have industry leading products and pretty much every category. So of course, on the back end, all of this is going to be powered by our industry leading storage solutions, like power store will be in your data center but at the same time, we will actually have worked to really masked that you don't even need to know that nor do you need to really operate much beyond what you need to really run your business. And that's really it's been an interesting work for us to just flip how we think about everything and you'll hear a whole lot more about it next year as we really bring this out into market but it's been really fun and a big learning for everyone. >> Excellent well yeah, something something power is underneath there well Caitlin. All right why don't you both give us the final takeaway for the Dell Tech on demand account. Start with you in just give us the final takeaway. >> Yeah, so I think look, I back to kind of what we were talking about, we've actually been offering these types of solutions to our customers for a really long time. Through Dell financial services, we've been offering payment flexibility for over 23 years, over 15 years and manage utility. So the customer example that I gave you is a customer who's running storage as a service and has been for many years, I think, building on that experience, listening to our customers feedback over that time period and over, of course, this past year, we're looking to apply all of that, to make it even more simpler for them to consume our infrastructure in the near future. And so, storage as a service is going to be a really exciting proof point of that, the momentum stats and some of the other things that I shared with you today and that you're going to hear about over the next couple of days or another proof point of it. But we're excited about this, and looking forward to continuing the dialogue with our customers with our partners and (mumbles) >> Then I would I'll kind of play off of one of your words there which is is all about simplicity for us is how do we take what we've been able to do for a lot of our customers accelerate that and simplify it to a point where we can offer that for all of our customers. And we're really looking to accelerate this first with storage and then get all of our offerings really into this model, because it's really about getting our customers out of managing infrastructure and give them the time, energy, resources to manage their business and simplicity is paramount to making sure that happens. >> Caitlin and Akanksha, thank you so much for giving us the updates. Congratulations to all the progress and definitely looking forward to hearing more beginning of next year. Thanks for joining. >> Thank you Stu. >> Thank you Stu >> All right, I'm Stu Miniman this is Dell Technology world digital experience. I'm Stu Miniman. And thank you as always for watching theCUBE (upbeat music)

Published Date : Oct 21 2020

SUMMARY :

to you by Dell Technologies. she's the Vice President of Marketing for the last few years and the stress that puts and even for the cloud, I that the business gets, right. and the aggressive customers and easy to use, it's not. and contract the more and more of the so help connect the dots for us. and we give you the ability and making sure that the and get the rest out of their way. for the Dell Tech on demand account. and some of the other things for a lot of our customers and definitely looking And thank you as always

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Caitlin Gordon, Dell Technologies | CUBE Conversation, July 2020


 

>> Narrator: From theCUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is theCUBE Conversation. >> Hello, and welcome to this CUBE Conversation. I'm John Furrier, host of theCUBE in our Palo Alto studios. We're here with our quarantine crew, doing all the remote interviews, getting all the stories that matter. The great guest, Caitlin Gordon, Vice President of Product Marketing at Dell Technologies. Caitlin, CUBE alumni, welcome back remotely. We didn't make it to the Dell Technologies World got moved to the fall. We'll see you certainly virtually, but thank you for coming on remotely, appreciate it. >> Thank you so much for having me again, it's great to be here. >> So storage is on the upswing. We're seeing a lot of activity. We're going to talk about data protection specifically. But first, we want to find out what's going on with you guys. There's been some changes in your organization within Dell, can you take a minute to explain what they are? >> Yeah, absolutely. What we found is certainly a lot of our conversations in the storage space end up talking about data protection and data protection, talking about storage. And what we've decided to do is actually really bring those parts to the business together. So specifically now I've been in the storage business for a few years, I spent a long time in data protection before that. So now we've brought the gang back together, and we've got storage and data protection really brought together as an organization all the way through engineering, and product marketing. Product Management really help us collaborate and really attack problems for customers cohesively. So we're really early days here, but it's exciting. We've been really busy on the storage side, and we've got some exciting things coming here on the data protection side as well. >> I want to get your thoughts 'cause almost every interview I do in the past four months is just doesn't stop. It's COVID impact. It's one of those things that we've talked about data protection. I've had so many great conversations, continuous operations, non-disruptive operations, it couldn't ask for more disruption than people being asked to work at home. So it's caused some IT divides, this is something that we didn't see coming. Business still needs to go on. So I want to get your thoughts, we're seeing cloud obviously become highlighted in this pandemic, that's obviously impacting the data protection. What's going on in the data protection front on your side, because obviously, cloud is showing everyone, "Hey, I can use modern technologies in the cloud, but I still got to do my business, I still got to protect my data." What's going on? >> Yeah, I mean, absolutely. I think we've seen a lot accelerate with this whole situation we're all in with a global pandemic, with the challenges that all businesses and people are having. But the digital transformation has been compressed, right? It would have taken people years, but now they've been forced to do that in months. Things like containers are really exploding and the requirement to protect Kubernetes is really something that we now more and more are having conversations about. Cyber ransomware has really unfortunately, only accelerated in this increasingly digital world that we're now all exclusively living in. So cyber resiliency has become a lot more important conversation. And then being able to protect data, certainly on-prem, but also across multiple public clouds and having that consistent experience is probably more important than it's ever been before as well. So it's really just put the accelerant on a lot of conversations that we were having before, and now they've become even more important. >> Talk about the innovations around the protect product, you've got the PowerProtect, it's agile, there's been some developments, what's the new additions? What's being highlighted? What are the key features? >> Yeah, so it's actually pretty exciting month for us here. PowerProtect Data Manager has been in the market for a full year. So believe it or not full year and again, as you mentioned, agile development. So it was introduced a year ago, we've had a number of enhancements over that year in the space of adding workloads, our cloud integration, we've added cloud Dr to both Azure and AWS. You have three click failover, two click failback. Really simple cloud disaster recovery, the availability and AWS marketplace for in-cloud data protection. As well, we have integration with our cyber recovery solutions, so again that ransomware protection and recovery is an important part. As well as a number of enhancements for supporting additional workloads, SAP Hana, CR Microsoft Exchange, we have broad workload support, we've really really enhanced that a lot. And then most recently, just this month, we now have a brand new data protection of PowerProtect Data Manager offer which includes all of our cloud capabilities, all inclusive, available in a subscription. So again, as we talked about the way not only people are using their data protection solutions, but how they're consuming and purchasing that, we've really transformed also now the way that people will be purchasing that. >> That's awesome, congratulations. Subscription is the format people want. And Amazon marketplace that shows they can consume if you're amazon customer, you just go in the marketplace, you get it, that's awesome. Congratulations, that's the way the world wants to consume. So that's awesome news. The thing I want to get your thoughts on and you guys have been busy. The cyber recovery and resilience piece you mentioned, can you talk about that because, we're hearing a lot more that work at home is not going to be more permanent. More permanent in the sense of, as we come out of the pandemic, people will say, "Hey, I can be productive at home." So you get to see the at home, not just a, "Here's some extra expense for your bandwidth." Is going to be more thought through. There's going to be more cyber attacks, just the attacks just on the COVID scams alone has been a problem at a personal level. But from a business standpoint, I got to have a VPN, I got to have my connections, I got to be secure. How do you guys look at that because organizations are putting a focus on it? >> Yeah, absolutely. I mean, cyber resiliency is something we've focused on actually for a number of years and it started in the obvious places, right. The banks of the world, the financial institutions and the healthcare organizations. Where they always had to have data really protected, and they were kind of some of the more early targets. But now we've seen ransomware. And these digital attacks really get worse and worse. I think all businesses, including our own, are really ramping up to make sure that we are protecting in every way we can. And from our data protection portfolio, we have a fully air-gapped solution. So you have that protection. And it does two things, it first helps mitigate against the attack in the first place by actually being able to do full content scanning to detect if an attack has happened. And just as importantly, if an attack happens, being able to quickly in an automated way, recover from that attack. I think it's something that we are really finding that our entire sales team, is having conversations about. It's no longer focused on the financial institutions of the world. It's every organization, and a lot of people really appreciate that we've come with that expertise and that knowledge to be able to help them prevent, and then, unfortunately, in many cases recover from these attacks. >> That's to me, it's table stakes, I'd have to agree with you. The question I have for you on that, you've doubled speed piece because one of the speed to recovery has always been a big feature. Now with the at home situation, how does that play into, how you guys have been on that speed to recovery aspect of that? Can you share some thoughts on that? >> Yeah, and it's specifically with cyber because we have a fully air-gapped solution, and it's in a secure enclave. That recovery is automated, and it's all within that secure enclave. So you have that security, you have the confidence, and you have the speed of that recovery. So it's really important the way we've implemented that, it's not attack on to an existing, it's truly a fully secure enclave, a full air-gapped solution so that you can recover quickly, but just as importantly, you can recover securely as well. >> One of the quotes that's been kicked around in the industry is, in the past two months, we've seen more digital transformation than the past two years. And I think that's rightfully articulate 'cause of COVID. And we're seeing all the warts and scabs out there, and the infrastructure whether it was investments lacking, the ones that made the right investments were doing well. And it becomes around cloud native, some of the things you guys saw with your success with agility. What is going on with a container based architecture, because that to me is becoming one of those things where it's accelerating development teams, at the same time providing some of those business values that people have to keep the lights on for. So, what do you guys look at that? How do you look at this container architecture? What specifically in the portfolio you guys have to address that? >> Yeah, absolutely. I think containers we found accelerating in the past couple years and then in the past few months, is a huge, huge requirement. And although we didn't think so pretty recently, containers are part of production applications. They need to be stored persistent storage on the storage side, but they probably even more critically and urgently they need to be protected. We've done a number of integrations and work specifically, with VMware to be able to support Kubernetes, and being able to support those workloads and protect Kubernetes workload. A lot of advanced integration, being able to protect and recover those clusters natively, and having that deep integration with VMware, as well as other other distributions as well. 'Cause we have really found that containers are exploding, the ecosystem is obviously very much evolving, but we are really keeping up with the bleeding edge of that to ensure that as these cloud native applications are developed, that the containers are truly being protected, just as physical applications of past had been. We need to make sure that certainly VMs but even more importantly, those containers alongside, are being protected. >> I've always been a big fan of containers and certainly Kubernetes that keeps the legacy alive and until you can transition, the new end and the old, and sometimes they can work together. With that, I want to get your thoughts specifically around this idea of technical debt. A lot of customers we talked to said, "Hey, I want more end-to-end, I want some cloud native, I got to have the versatility, I got to have the agility and the speed, I got to be multi cloud. So multi cloud's on the horizon, it's certainly hybrids today. I don't want my infrastructure to be the technical debt for tomorrow." That's the question that comes up. How do you answer that, and how do you talk to that specifically? >> Yeah, it's interesting, you bring that up, especially in the storage side, too. We've been talking about that a lot. That was a pretty centralized message about how we architected power store, and it's pretty central to everything that we're designing. Is that, investment with our Dell EMC Infrastructure with Dell Technologies, is investing for what you need today, but more importantly, is going to bring you into the future. And what we have with PowerProtect Data Manager is something that is rooted in the innovation and the proven architecture to provide support for all these broad workloads and all of these broad clouds, but also also be able to protect these new modern cloud native applications, and help you bridge that gap in your own environment, so you have that. And even just as important as supporting modern applications is that support for multiple clouds, AWS and Azure. We all know that, that technical debt can also come in the form of being locked into a single public cloud, you need that flexibility to be able to leverage that public cloud of choice, whether it's for disaster recovery, backup to cloud, long term retention to cloud, having that flexibility is also just as an important part of that equation as it is for your on-prem investments as well. >> Well, congratulations on that data protection on the product front. Having the bright mix. Having that certainly is going to be key as the buying cycle start to ramp up again. I want to get back to the business 'cause I'll check on the technology. Congratulations, I love cloud native, you know that. But check on the technology business model. You mentioned subscriptions. So can you talk about the trend on your customer side, the move from CapEx and OpEx. Because if you go cloud, the consumption will be subscription, there'll be more operating expenses. How does that impact the IT budgets? How do you guys align there? What's your answer to that, can you explain? >> Yeah, absolutely. We announced, late last year, so in the fall of last year, Dell technology is on demand family, and that's really our effort to focus more on our cloud like experience and consumption and product offerings. And part of that is our subscription, pay as you go model. And what we've found, and I'd love your perspective on this as well, is that, the moving from CapEx and OpEx has been a conversation and certainly when it comes to infrastructure, there's been some set of customers over the past 12 months that have been moving in that direction. We're seeing that accelerate, certainly in the infrastructure space, but as we all know, software is where that's already pretty well established. As I think you've said, that's table stakes. So we've seen that that's really the methodology, both from our standpoint and our customers' and our partners' is, when we're selling software, that's got to be really honest subscription basis. So that's why obviously, with PowerProtect Data Manager, it makes all the sense in the world to really focus there. And that's really part of our bigger initiative overall, to move towards more of these consumption based as a service OpEx models for our customers. >> Yeah, I'm glad you brought that up I'd love to share my opinion, because I do have opinion on this. And one of the things that's coming out of some of the COVID interviews with the practitioners and the customers and the insiders is, it's a developer lead market. So cloud native, we've been talking about for years and it certainly happened. But as the pandemic has shown, people are going to be coming out of this. They have to have a growth strategy, they got to have the foundational product sets and technologies in place. But the customers, your customers, have to have a growth strategy. They got to refactor. They got to look at what they want to double down in, and kind on what they want to cut back. Some things are pretty obvious now, what not to do. So it's clear there's lines of sight around certain things, but it's developer led. The applications are going to drive value of the business, and so I'm seeing the alignment between that trend of developer led with a flex of consumption based resource. So yeah, you get the foundational services. And then hey, if the app successful, you're just still in business. I mean, people are really worried about, even, making sure they come out of this not on a downward trajectory. They want to be on an upward trajectory. That's a really key thing for 'em, your reaction. >> Yeah, I mean, that really resonates. I think it's and when we look at just to go back to the technology a little, 'cause, I never can resist, is if you look even just PowerProtect Data Manager, one of the things that's so important is that, we've have built that to be both controllable by the application and users so they can do their own protection, but then have that centralized view. And that being able to have that consolidated and centralized management of data from a single console for IT. And I think that gets to the now the next level with developers is, we need to enable developers as seamlessly as possible in their own language to be able to protect, to be able to store data, so IT can feel good about it. But we have to be able to enable them in the way that they are needing to develop these applications as quickly as possible, and from an IT perspective, that means being able to do that on-prem, or even do that in the cloud, so that we can keep all of those policies in place and keep that centralized governance, but really support the acceleration and the digital transformation that those folks are driving. So I think it makes a lot of sense and it really resonates with our product strategy. >> I think there's going to be a slew of new applications that are going to need to have all kinds of strategies built in countermeasures, recovery, all new things are going to emerge. So you guys certainly will be certainly more busy than ever. I want to get your product kind of view on something why I got you here, because I think this is kind of key. As you look at your portfolio, you mentioned the tech and the tech, all the features that you have, what are the few that resonate the most, it means classic product marketing, I mean, everyone wants to know, we've got all these features, which is great. Which ones do you say, Caitlin, are jumping out right now that are resonating the most? 'Cause sometimes it's a feature that might not be that heavy tech, or it's something that's really differentiated, but the customers will glob onto key features, what are some of the things that you're seeing that are rising to the top in terms of the feature set? >> Yeah, and it's not the speeds and feeds of yesterday. And I think this, more broadly across storage and data protection is what we're finding. The speeds and feeds are good, and some people do want to have that conversation. But we've gotten to a point from a technology from an industry standpoint, that we're able to meet latency, the bandwidth, the throughput that people need. But what's more interesting and is more compelling and important to the business is, how can you help me change the way I'm running my data center, and inter-operate with the cloud, and therefore change the way I'm running my business. And some of the pieces that come in there, is automation. I think automation within systems to systems across the enterprise, across edge and cloud, that is so incredibly critical. The AI that we're building into platforms, the integration with whether it's VMware based with VRO, whether it's Ansible modules, intelligence, and this idea of having an autonomous data center that then has that connectivity to cloud and inter-operate then also with the edge, is so incredibly compelling. And again, not just for the large enterprises, but more and more for smaller ones. Because in this world, we need to help our customers have their data center run itself as much as possible, and whatever does require administration is as simple as possible, right? We've all gotten used to technology being as simple as our smartphones, this consumerization of IT has really changed the requirement of what people think simple means. So the things that you don't necessarily think about, and we don't necessarily market even that actively about, how important the number of clicks and the user interface and the seamless transition to products, as well as automation, is so critical. And I think the other ones we've already hit on, integration with multiple public clouds, that flexibility, support for containers, and Kubernetes and deep VMware integration are increasingly critical. And I think, for someone who's been in product marketing for 15 years, I couldn't be happier that our conversations have kind of moved off of speeds and feeds and into these much more compelling and business centric conversation, because, I think we can add a lot more value to the business that way. >> It also shows the strategic nature, you mentioned edge, these new environments. It's a multi environment that you have to have build products for. So it's not so much, how fast packets are moving back and forth, or this or that. It's really about the business value. >> Yeah, it's about the business value, the locality, the value of the data, it's really all about the data and how we can help our customers better manage that across all locations. But do that in a very, very simple way. But the requirement for what simple really means, has really, really raised the bar on that, and we're going to continue to push ourselves and challenge ourselves on that as well. >> Caitlin, I'll give you the final word, talk about choice. Choice has always been a big part of what you guys have offered customers, Dell Technologies has great storage. In this day and age, what does that mean for a customer? What have the choice mean? >> Yeah, and I think it's a delicate balance. And we've gone through quite a transformation over the past couple years here. And this summer was an exciting one for many reasons, but, we just recently completed that full simplification of our portfolio and we have our full portfolio of power solutions, all the way from PowerMax to PowerVolt, PowerStore, PowerScale, PowerFlex, and of course, the one we talked about today, PowerProtect. We now have that all in market. And I bring that up because, that is our simple portfolio to give customers best in class products across all of these different categories. And the fact that we have that choice, but, we've simplified that choice down to as few choices as possible, coming back to what we were just talking about. It's critical that we have solutions that meet the requirements of all of our different customers, but also that we don't give them more than that. That we need to give them choices that will meet their needs, but also not give them so many choices, that it's overwhelming. You don't want to be the cheesecake factory and not be able to choose what you want, you need to just be able to choose from what the options that really makes sense. And that's why I think it's really exciting now as we move into the second half of this year and look into next, we have that portfolio now, and we can focus on, which is the right combination of solutions for you. >> During the pandemic, people are reading a book, doing a hobby, you guys are updating your product portfolio. Congratulations on all the hard work, Caitlin Gordon, Vice President of Product. Great to see you. Thank you for spending the time, giving us an update on the data protection stuff. And again, congratulations for being so productive during a tough time and stay safe, thank you. >> Thank you. Thanks for having me, good to see you. >> Okay, this is theCUBE coverage with Dell Technologies. Caitlin Gordon, Vice President of Product Marketing giving us the breakdown. Very productive for them during this time, and again, companies want a growth strategy when they come out of the pandemic. More than ever, infrastructure has to enable the software for the new solutions. Just to keep coverage, I'm John Furrier, thanks for watching. (upbeat music)

Published Date : Jul 27 2020

SUMMARY :

leaders all around the world, getting all the stories that matter. it's great to be here. So storage is on the upswing. been in the storage business I do in the past four months and the requirement to protect Kubernetes has been in the market for a full year. and you guys have been busy. and it started in the because one of the speed to recovery So it's really important the some of the things you guys saw are developed, that the containers Kubernetes that keeps the legacy alive and the proven architecture How does that impact the IT budgets? is that, the moving from CapEx and OpEx and so I'm seeing the or even do that in the cloud, that are resonating the most? Yeah, and it's not the It's really about the business value. it's really all about the data What have the choice mean? and of course, the one we talked Congratulations on all the Thanks for having me, good to see you. the software for the new solutions.

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Caitlin Gordon, Dell Technologies | CUBE Conversation, July 2020


 

>> Narrator: From theCUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is theCUBE Conversation. >> Hello, and welcome to this CUBE Conversation. I'm John Furrier, host of theCUBE in our Palo Alto studios. We're here with our quarantine crew, doing all the remote interviews, getting all the stories that matter. The great guest, Caitlin Gordon, Vice President of Product Marketing at Dell Technologies. Caitlin, CUBE alumni, welcome back remotely. We didn't make it to the Dell Technologies World got moved to the fall. We'll see you certainly virtually, but thank you for coming on remotely, appreciate it. >> Thank you so much for having me again, it's great to be here. >> So storage is on the upswing. We're seeing a lot of activity. We're going to talk about data protection specifically. But first, we want to find out what's going on with you guys. There's been some changes in your organization within Dell, can you take a minute to explain what they are? >> Yeah, absolutely. What we found is certainly a lot of our conversations in the storage space end up talking about data protection and data protection, talking about storage. And what we've decided to do is actually really bring those parts to the business together. So specifically now I've been in the storage business for a few years, I spent a long time in data protection before that. So now we've brought the gang back together, and we've got storage and data protection really brought together as an organization all the way through engineering, and product marketing. Product Management really help us collaborate and really attack problems for customers cohesively. So we're really early days here, but it's exciting. We've been really busy on the storage side, and we've got some exciting things coming here on the data protection side as well. >> I want to get your thoughts 'cause almost every interview I do in the past four months is just doesn't stop. It's COVID impact. It's one of those things that we've talked about data protection. I've had so many great conversations, continuous operations, non-disruptive operations, it couldn't ask for more disruption than people being asked to work at home. So it's caused some IT divides, this is something that we didn't see coming. Business still needs to go on. So I want to get your thoughts, we're seeing cloud obviously become highlighted in this pandemic, that's obviously impacting the data protection. What's going on in the data protection front on your side, because obviously, cloud is showing everyone, "Hey, I can use modern technologies in the cloud, but I still got to do my business, I still got to protect my data." What's going on? >> Yeah, I mean, absolutely. I think we've seen a lot accelerate with this whole situation we're all in with a global pandemic, with the challenges that all businesses and people are having. But the digital transformation has been compressed, right? It would have taken people years, but now they've been forced to do that in months. Things like containers are really exploding and the requirement to protect Kubernetes is really something that we now more and more are having conversations about. Cyber ransomware has really unfortunately, only accelerated in this increasingly digital world that we're now all exclusively living in. So cyber resiliency has become a lot more important conversation. And then being able to protect data, certainly on-prem, but also across multiple public clouds and having that consistent experience is probably more important than it's ever been before as well. So it's really just put the accelerant on a lot of conversations that we were having before, and now they've become even more important. >> Talk about the innovations around the protect product, you've got the PowerProtect, it's agile, there's been some developments, what's the new additions? What's being highlighted? What are the key features? >> Yeah, so it's actually pretty exciting month for us here. PowerProtect Data Manager has been in the market for a full year. So believe it or not full year and again, as you mentioned, agile development. So it was introduced a year ago, we've had a number of enhancements over that year in the space of adding workloads, our cloud integration, we've added cloud Dr to both Azure and AWS. You have three click failover, two click failback. Really simple cloud disaster recovery, the availability and AWS marketplace for in-cloud data protection. As well, we have integration with our cyber recovery solutions, so again that ransomware protection and recovery is an important part. As well as a number of enhancements for supporting additional workloads, SAP Hana, CR Microsoft Exchange, we have broad workload support, we've really really enhanced that a lot. And then most recently, just this month, we now have a brand new data protection of PowerProtect Data Manager offer which includes all of our cloud capabilities, all inclusive, available in a subscription. So again, as we talked about the way not only people are using their data protection solutions, but how they're consuming and purchasing that, we've really transformed also now the way that people will be purchasing that. >> That's awesome, congratulations. Subscription is the format people want. And Amazon marketplace that shows they can consume if you're amazon customer, you just go in the marketplace, you get it, that's awesome. Congratulations, that's the way the world wants to consume. So that's awesome news. The thing I want to get your thoughts on and you guys have been busy. The cyber recovery and resilience piece you mentioned, can you talk about that because, we're hearing a lot more that work at home is not going to be more permanent. More permanent in the sense of, as we come out of the pandemic, people will say, "Hey, I can be productive at home." So you get to see the at home, not just a, "Here's some extra expense for your bandwidth." Is going to be more thought through. There's going to be more cyber attacks, just the attacks just on the COVID scams alone has been a problem at a personal level. But from a business standpoint, I got to have a VPN, I got to have my connections, I got to be secure. How do you guys look at that because organizations are putting a focus on it? >> Yeah, absolutely. I mean, cyber resiliency is something we've focused on actually for a number of years and it started in the obvious places, right. The banks of the world, the financial institutions and the healthcare organizations. Where they always had to have data really protected, and they were kind of some of the more early targets. But now we've seen ransomware. And these digital attacks really get worse and worse. I think all businesses, including our own, are really ramping up to make sure that we are protecting in every way we can. And from our data protection portfolio, we have a fully air-gapped solution. So you have that protection. And it does two things, it first helps mitigate against the attack in the first place by actually being able to do full content scanning to detect if an attack has happened. And just as importantly, if an attack happens, being able to quickly in an automated way, recover from that attack. I think it's something that we are really finding that our entire sales team, is having conversations about. It's no longer focused on the financial institutions of the world. It's every organization, and a lot of people really appreciate that we've come with that expertise and that knowledge to be able to help them prevent, and then, unfortunately, in many cases recover from these attacks. >> That's to me, it's table stakes, I'd have to agree with you. The question I have for you on that, you've doubled speed piece because one of the speed to recovery has always been a big feature. Now with the at home situation, how does that play into, how you guys have been on that speed to recovery aspect of that? Can you share some thoughts on that? >> Yeah, and it's specifically with cyber because we have a fully air-gapped solution, and it's in a secure enclave. That recovery is automated, and it's all within that secure enclave. So you have that security, you have the confidence, and you have the speed of that recovery. So it's really important the way we've implemented that, it's not attack on to an existing, it's truly a fully secure enclave, a full air-gapped solution so that you can recover quickly, but just as importantly, you can recover securely as well. >> One of the quotes that's been kicked around in the industry is, in the past two months, we've seen more digital transformation than the past two years. And I think that's rightfully articulate 'cause of COVID. And we're seeing all the warts and scabs out there, and the infrastructure whether it was investments lacking, the ones that made the right investments were doing well. And it becomes around cloud native, some of the things you guys saw with your success with agility. What is going on with a container based architecture, because that to me is becoming one of those things where it's accelerating development teams, at the same time providing some of those business values that people have to keep the lights on for. So, what do you guys look at that? How do you look at this container architecture? What specifically in the portfolio you guys have to address that? >> Yeah, absolutely. I think containers we found accelerating in the past couple years and then in the past few months, is a huge, huge requirement. And although we didn't think so pretty recently, containers are part of production applications. They need to be stored persistent storage on the storage side, but they probably even more critically and urgently they need to be protected. We've done a number of integrations and work specifically, with VMware to be able to support Kubernetes, and being able to support those workloads and protect Kubernetes workload. A lot of advanced integration, being able to protect and recover those clusters natively, and having that deep integration with VMware, as well as other other distributions as well. 'Cause we have really found that containers are exploding, the ecosystem is obviously very much evolving, but we are really keeping up with the bleeding edge of that to ensure that as these cloud native applications are developed, that the containers are truly being protected, just as physical applications of past had been. We need to make sure that certainly VMs but even more importantly, those containers alongside, are being protected. >> I've always been a big fan of containers and certainly Kubernetes that keeps the legacy alive and until you can transition, the new end and the old, and sometimes they can work together. With that, I want to get your thoughts specifically around this idea of technical debt. A lot of customers we talked to said, "Hey, I want more end-to-end, I want some cloud native, I got to have the versatility, I got to have the agility and the speed, I got to be multi cloud. So multi cloud's on the horizon, it's certainly hybrids today. I don't want my infrastructure to be the technical debt for tomorrow." That's the question that comes up. How do you answer that, and how do you talk to that specifically? >> Yeah, it's interesting, you bring that up, especially in the storage side, too. We've been talking about that a lot. That was a pretty centralized message about how we architected power store, and it's pretty central to everything that we're designing. Is that, investment with our Dell EMC Infrastructure with Dell Technologies, is investing for what you need today, but more importantly, is going to bring you into the future. And what we have with PowerProtect Data Manager is something that is rooted in the innovation and the proven architecture to provide support for all these broad workloads and all of these broad clouds, but also also be able to protect these new modern cloud native applications, and help you bridge that gap in your own environment, so you have that. And even just as important as supporting modern applications is that support for multiple clouds, AWS and Azure. We all know that, that technical debt can also come in the form of being locked into a single public cloud, you need that flexibility to be able to leverage that public cloud of choice, whether it's for disaster recovery, backup to cloud, long term retention to cloud, having that flexibility is also just as an important part of that equation as it is for your on-prem investments as well. >> Well, congratulations on that data protection on the product front. Having the bright mix. Having that certainly is going to be key as the buying cycle start to ramp up again. I want to get back to the business 'cause I'll check on the technology. Congratulations, I love cloud native, you know that. But check on the technology business model. You mentioned subscriptions. So can you talk about the trend on your customer side, the move from CapEx and OpEx. Because if you go cloud, the consumption will be subscription, there'll be more operating expenses. How does that impact the IT budgets? How do you guys align there? What's your answer to that, can you explain? >> Yeah, absolutely. We announced, late last year, so in the fall of last year, Dell technology is on demand family, and that's really our effort to focus more on our cloud like experience and consumption and product offerings. And part of that is our subscription, pay as you go model. And what we've found, and I'd love your perspective on this as well, is that, the moving from CapEx and OpEx has been a conversation and certainly when it comes to infrastructure, there's been some set of customers over the past 12 months that have been moving in that direction. We're seeing that accelerate, certainly in the infrastructure space, but as we all know, software is where that's already pretty well established. As I think you've said, that's table stakes. So we've seen that that's really the methodology, both from our standpoint and our customers' and our partners' is, when we're selling software, that's got to be really honest subscription basis. So that's why obviously, with PowerProtect Data Manager, it makes all the sense in the world to really focus there. And that's really part of our bigger initiative overall, to move towards more of these consumption based as a service OpEx models for our customers. >> Yeah, I'm glad you brought that up I'd love to share my opinion, because I do have opinion on this. And one of the things that's coming out of some of the COVID interviews with the practitioners and the customers and the insiders is, it's a developer lead market. So cloud native, we've been talking about for years and it certainly happened. But as the pandemic has shown, people are going to be coming out of this. They have to have a growth strategy, they got to have the foundational product sets and technologies in place. But the customers, your customers, have to have a growth strategy. They got to refactor. They got to look at what they want to double down in, and kind on what they want to cut back. Some things are pretty obvious now, what not to do. So it's clear there's lines of sight around certain things, but it's developer led. The applications are going to drive value of the business, and so I'm seeing the alignment between that trend of developer led with a flex of consumption based resource. So yeah, you get the foundational services. And then hey, if the app successful, you're just still in business. I mean, people are really worried about, even, making sure they come out of this not on a downward trajectory. They want to be on an upward trajectory. That's a really key thing for 'em, your reaction. >> Yeah, I mean, that really resonates. I think it's and when we look at just to go back to the technology a little, 'cause, I never can resist, is if you look even just PowerProtect Data Manager, one of the things that's so important is that, we've have built that to be both controllable by the application and users so they can do their own protection, but then have that centralized view. And that being able to have that consolidated and centralized management of data from a single console for IT. And I think that gets to the now the next level with developers is, we need to enable developers as seamlessly as possible in their own language to be able to protect, to be able to store data, so IT can feel good about it. But we have to be able to enable them in the way that they are needing to develop these applications as quickly as possible, and from an IT perspective, that means being able to do that on-prem, or even do that in the cloud, so that we can keep all of those policies in place and keep that centralized governance, but really support the acceleration and the digital transformation that those folks are driving. So I think it makes a lot of sense and it really resonates with our product strategy. >> I think there's going to be a slew of new applications that are going to need to have all kinds of strategies built in countermeasures, recovery, all new things are going to emerge. So you guys certainly will be certainly more busy than ever. I want to get your product kind of view on something why I got you here, because I think this is kind of key. As you look at your portfolio, you mentioned the tech and the tech, all the features that you have, what are the few that resonate the most, it means classic product marketing, I mean, everyone wants to know, we've got all these features, which is great. Which ones do you say, Caitlin, are jumping out right now that are resonating the most? 'Cause sometimes it's a feature that might not be that heavy tech, or it's something that's really differentiated, but the customers will glob onto key features, what are some of the things that you're seeing that are rising to the top in terms of the feature set? >> Yeah, and it's not the speeds and feeds of yesterday. And I think this, more broadly across storage and data protection is what we're finding. The speeds and feeds are good, and some people do want to have that conversation. But we've gotten to a point from a technology from an industry standpoint, that we're able to meet latency, the bandwidth, the throughput that people need. But what's more interesting and is more compelling and important to the business is, how can you help me change the way I'm running my data center, and inter-operate with the cloud, and therefore change the way I'm running my business. And some of the pieces that come in there, is automation. I think automation within systems to systems across the enterprise, across edge and cloud, that is so incredibly critical. The AI that we're building into platforms, the integration with whether it's VMware based with VRO, whether it's Ansible modules, intelligence, and this idea of having an autonomous data center that then has that connectivity to cloud and inter-operate then also with the edge, is so incredibly compelling. And again, not just for the large enterprises, but more and more for smaller ones. Because in this world, we need to help our customers have their data center run itself as much as possible, and whatever does require administration is as simple as possible, right? We've all gotten used to technology being as simple as our smartphones, this consumerization of IT has really changed the requirement of what people think simple means. So the things that you don't necessarily think about, and we don't necessarily market even that actively about, how important the number of clicks and the user interface and the seamless transition to products, as well as automation, is so critical. And I think the other ones we've already hit on, integration with multiple public clouds, that flexibility, support for containers, and Kubernetes and deep VMware integration are increasingly critical. And I think, for someone who's been in product marketing for 15 years, I couldn't be happier that our conversations have kind of moved off of speeds and feeds and into these much more compelling and business centric conversation, because, I think we can add a lot more value to the business that way. >> It also shows the strategic nature, you mentioned edge, these new environments. It's a multi environment that you have to have build products for. So it's not so much, how fast packets are moving back and forth, or this or that. It's really about the business value. >> Yeah, it's about the business value, the locality, the value of the data, it's really all about the data and how we can help our customers better manage that across all locations. But do that in a very, very simple way. But the requirement for what simple really means, has really, really raised the bar on that, and we're going to continue to push ourselves and challenge ourselves on that as well. >> Caitlin, I'll give you the final word, talk about choice. Choice has always been a big part of what you guys have offered customers, Dell Technologies has great storage. In this day and age, what does that mean for a customer? What have the choice mean? >> Yeah, and I think it's a delicate balance. And we've gone through quite a transformation over the past couple years here. And this summer was an exciting one for many reasons, but, we just recently completed that full simplification of our portfolio and we have our full portfolio of power solutions, all the way from PowerMax to PowerVolt, PowerStore, PowerScale, PowerFlex, and of course, the one we talked about today, PowerProtect. We now have that all in market. And I bring that up because, that is our simple portfolio to give customers best in class products across all of these different categories. And the fact that we have that choice, but, we've simplified that choice down to as few choices as possible, coming back to what we were just talking about. It's critical that we have solutions that meet the requirements of all of our different customers, but also that we don't give them more than that. That we need to give them choices that will meet their needs, but also not give them so many choices, that it's overwhelming. You don't want to be the cheesecake factory and not be able to choose what you want, you need to just be able to choose from what the options that really makes sense. And that's why I think it's really exciting now as we move into the second half of this year and look into next, we have that portfolio now, and we can focus on, which is the right combination of solutions for you. >> During the pandemic, people are reading a book, doing a hobby, you guys are updating your product portfolio. Congratulations on all the hard work, Caitlin Gordon, Vice President of Product. Great to see you. Thank you for spending the time, giving us an update on the data protection stuff. And again, congratulations for being so productive during a tough time and stay safe, thank you. >> Thank you. Thanks for having me, good to see you. >> Okay, this is theCUBE coverage with Dell Technologies. Caitlin Gordon, Vice President of Product Marketing giving us the breakdown. Very productive for them during this time, and again, companies want a growth strategy when they come out of the pandemic. More than ever, infrastructure has to enable the software for the new solutions. Just to keep coverage, I'm John Furrier, thanks for watching. (upbeat music)

Published Date : Jul 15 2020

SUMMARY :

leaders all around the world, getting all the stories that matter. it's great to be here. So storage is on the upswing. been in the storage business I do in the past four months and the requirement to protect Kubernetes has been in the market for a full year. and you guys have been busy. and it started in the because one of the speed to recovery So it's really important the some of the things you guys saw are developed, that the containers Kubernetes that keeps the legacy alive and the proven architecture How does that impact the IT budgets? is that, the moving from CapEx and OpEx and so I'm seeing the or even do that in the cloud, that are resonating the most? Yeah, and it's not the It's really about the business value. it's really all about the data What have the choice mean? and of course, the one we talked Congratulations on all the Thanks for having me, good to see you. the software for the new solutions.

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Caitlin Gordon, Dell Technologies | CUBE Conversation, May 2020


 

from the cube studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cube conversation [Music] hi I'm Stu manna man and welcome to a special cube conversation normally the first week of May we would be at Dell technologies world but that event has been moved to the fall but one of the major announcements from the event are going forward joining me to talk about powering up the mid-range of storage is Caitlin Gordon she is the vice president of marketing at Dell technologies Caitlin you thanks so much for joining thank you so much for having me Stu it's great to be here all right so Caitlin the last couple of years at a dtw different segments of the market as I said it's been powered up as the marketing messaging usually you've got some good t-shirts you've got a lot the labs and demos so tell us about the important announcement that you're sharing with today yeah I mean unfortunately the show is not going on but the product is still launching it actually is already started chipping and we are excited that we're still at be able to announce it this week our store is really probably the most exciting product they've ever gotten to help bring to market and all those demos and labs that you've talked about we're gonna have them all they're all going to be digital this year as well and it's really important for us as a business because it really changes what we're able to do for our customers you know we love speeds and feeds and storage but power store is so much more than that We certainly have designed it to meet the needs of all the workloads lock and file providing performance and efficiency but even more importantly what we built with this platform is something that will help our customers change the way that they're running their data centers and maybe most importantly can adapt with them as their businesses evolve yeah it's so important Caitlin I'm glad you talked about that you know you know the storage industry you know IP in general we can really get wonky and dig down to the speeds and feeds and yeah we want to understand you know how does nvm me and sports class memory and all that thing fit into but I want you to talk about you know what is that customer requirement that you're solving for in the age of AI and cloud you know what are the customers looking for what are those things that your cell for that maybe you know previous generations you go back to like the Unity ie this weren't on the table for discussion yeah I think one of the most interesting thing that's happened for us in the past few years in our conversations with customers is we do have the speeds and feeds the end-to-end nvme and octane and all that wonderful goodness but what they're really helped they're really asking for help on is how do they move towards this vision of having a truly autonomous data center how do they move to a fully self-service model so that all of their infrastructure can be treated like code and that you can automate all of those storage workflows picking out all of the additional costs and time and probably most importantly risk of manual tasks how do we have infrastructure that can be a more intelligent and helped them make more proactive and intelligent decisions that's one part of the equation the other piece is what we've heard loud and clear and this is now true more than ever before that infrastructure investments not only need to make sense for what the needs are today but also need to have the flexibility to adapt with businesses as they're going through this rapid and unpredictable transformation so that they can ensure that there are infrastructure investments today don't become technical debt tomorrow so that ability to have infrastructure that can adapt and evolve that the business is so important to our customers yes so Caitlin how is that done you know traditionally store do you think about it you know I buy a box like why did no way I write it off over 30 number years so what's different about you know the the service is and I'm guessing there's some financial pieces that make you know power store and the rest of the power family different than what I would have bought traditionally from buying a storage array yeah really the whole dynamic changes and it starts really foundationally with the flexible architecture so the product itself is built with the flexible architecture the ability the fact that it's a container based architecture were able to innovate on a container basis which makes our data services across the portfolio more consist enables us to innovate faster it also means that all of our innovation will be delivered to customers in a non disruptive way whether that's a hardware upgrade or a software upgrade all of that will happen without impacting the business that's really the flexible and adaptable architecture but when you look at the deployment that's an even bigger conversation how can we help and deliver infrastructure that gives you a solution that can support a small footprint at the edge collapse that infrastructure at the edge help with data center modernization connect into cloud and the last piece you're just touching on is that consumption more and more and then that's accelerated over the past month or so the ability to consume this as a service it's such an important part of what we're doing here in power stores available all of our Dell technologies on-demand offerings flex on-demand to give you that ability to really consume an infrastructure and an object model really interesting you talked about you know underneath the covers you know containerized architecture you know I think back the previous generations when you know EMC moved on to an intel-based architecture you know there's things where you say there's a major change in the code bases a major change in the architecture and from a customer standpoint they shouldn't have to think about it but I know there's so much work that goes through to make sure that things are rock-solid that it's still gonna provide you know X nines of capability and make sure that you can run your business on it helped us understand a little bit about you know how you know you said a lot of things have changed but we're still talking about things that you know you're running you know our business is on or you know mid-race customers for small enterprises midsize enterprise you know but what's what's still the same I guess is what I'm asking for today's storage compared to what we were looking at that yeah and if you look at it I mean the architecture itself is built as an architecture can pick conserve the broadest set of needs or the biggest set of our customer base so foundationally it supports all physical databases and applications we've got we've all support it's got performance that's really incredible compared to our previous lead mid range all flash solutions seven times faster three times better response times the efficiency of course is critical the ability to support that in a really small footprint with always-on inline data reduction four to one guaranteed the architecture not only scales up of course as a storage appliance but also can independently scale compute so they have the ability to scale up in an appliance and scale out into a cluster and of course you can't resist the buzzwords that's important and an nvme of course the ability to support nvme based flash drives or SEM and it's specifically actually the dual ported octane drive for persistent storage so when you look at it it truly is a best-in-class all flash mid-range storage array but it also does a lot more and that's part of the fun dynamic of what we've built okay so you know we talked about scaling up and scaling out you know of course you know we look at Bay's world two things that are critically important to customers it's my data and my applications obviously you know strong legacy at Dell EMC looking at the data you touched a little bit about the applications but you know tell me more how does this fit for you know my latest cloud native type environments you know how do applications fit into this environment yeah and it's really builds on what we're starting to talk about with that container based architecture so the fact that his container based is interesting and good for us because we can innovate faster it's even more important for customers and we can deliver that to them faster and more consistently what's more interesting is what we can then do for their workloads and their applications because we have this brand-new modular software operating system of course we can deploy that as a standard bare metal on purpose-built hardware or storage appliance what's even more interesting and what's really different about what we can do with our store is we can also abstract that storage OS from the underlying hardware onboard VMware ESXi and run both the storage operating system and applications natively on the appliance so able to collapse the compute and storage layers into a single piece of infrastructure and run a handful of specialized applications on that one appliance which really is game-changing in the data center at the edge to change the way that you can run and consolidate your operations okay yeah if you say specialize to applications so let let's build onion a little bit on that you know I think back obviously you know Dell has a very strong position in hyper-converged infrastructure which is scaling you know compute and storage and doing that an entire environment I remember there were a lot of efforts to say well with a virtualized environment maybe I hate storage and I can put applications on it that was there was use case with Isilon and to say you know I've got a lot of general-purpose compute if I have some excess capacity maybe I can do that it wasn't something that I heard used a lot so what sort of applications and how do kind of compare and contrast this with other things like like HDI yeah and this is power stores apps on capability and really what it's built for is these kind of two classes of applications the first is infrastructure apps so think of these as any type of application that the infrastructure team themselves is is leveraging and wants to simplify their operations antivirus data protection things like that the other category would be what we call data intensive so a data intensive application really is more storage intensive right either has a high demand for capacity and a small demand for compute or is one of these more latency sensitive applications real-time analytics is a good example things like blink and spark the response time is really King and when we look at that in comparison to what HCI is we have been and we are in a great position right with the xrail has been leading the hyper-converged market and we know that our customers are deploying that alongside three-tier architecture and what you look at what we've done with our store what we already have with rail they're highly complementary what we've done in HCI is we've taken storage and brought it into compute what we've done with power store we've taken storage and we brought compute into it and it really solves four different is optimized for different challenges and we really think complementing those in the data center next to each other is going to be an increasingly common deployment model to have the right architecture or the right workloads and then you have VMware consistent operations across the top so you have that consistent operations within your data center whoo edge and also to the cloud all right so end-to-end portfolio is what you're saying there's options for the different applications what one of the big challenges for storage people always is you know I always used to joke it's the four-letter word its migration so customers you know there there are very few Greenfield deployments out there so the existing Dell customers people out there that have been doing things in previous ways how do they get to power store and you know once they're on power Spore what does that mean for you know future you know growth expansion you know migration discussions yeah and I've heard this before right forklifts are not a friendly thing and the good news is with power store it is truly the end of data migration we've built with power store is an architecture that enables you to non-disruptive Li upgrade the controllers when new generations come out you can destructively operate those keep all the capacity in place and don't have any an impact to your business we also know the customers need to get data to powers for now getting to the 2 power store is going to be really really seamless we have invested significantly and a number of different migration options for our portfolio and for third-party to get data to our score and what seamless means could be different to different customers that can be non disruptive it could be agent lists it also could be host based we'll have all of those solutions from day one to enable that transition that happened as seamlessly as possible and on a customer's own time we've actually optimized this to the point where we now enable you to move data from an existing platform to our store in less than 10 players okay that that's great Kaitlyn so you know III remember back when Mendell first finished the acquisition of EMC one of the things we heard loud and clear with Jeff Clarke is a simplification of the portfolio it's something we've heard throughout the ranks remember talking to Jeff Boudreau about hinting at what was happening at the in the mid-range so what does this mean for existing mid-range lines and tell us about what we expect to see as this transition rolls out yeah absolutely so power store is absolutely our lead mid-range all-flash offering we continue to have unity XD is our lead hybrid mid-range solution and we have at end of life any of our other existing mid-range platforms what we know above anything else is that transformation and transitions in the data center and on storage race takes time and the important thing for us is that we enable our customers to do that on their own time and as seamlessly as possible so we have not announced a new end of life when we do we're going to have a long service life and we've built all of these different migration tools to help support that transition so it's going to be very easy for our customers to do that move on their own time and it still enables us to deliver on what we've promised you which is a simplified portfolio great Kaitlyn last thing I want to ask you is what's challenging for people is number one they've got kind of the skill set and the rules that they have today so there needs to be you know an easy migration to go from what they have to the new on the other hand also sometimes it you you want to take a clean sheet of paper and say boy if you could just start over and do it this way it's going to make your life so much easier so tell us how you're balancing that and how you can help both that you know you're your install base as well as you know new people coming in that might not have been traditional storage industry yeah I think the reality is that they're the specialized skill as a storage administrator isn't is something that will not be a growing skill set and we need to help our customers certainly support an operating model that does work like a storage array but does so in a way that is extraordinarily simple and has a lot of intelligence built in so first and foremost this is a storage platform and has really been designed who have the most seamless and simple operating experience from an element manager with our store manager for a storage admin but at the same time we know that for a variety of reasons a lot of customers have a single team that managed their infrastructure and is really moving into more of a cloud operating model and for that we've built in all of the integrations and tools with vmware whether it's Fiero vmware cloud foundation to really help vmware administrator also be able to operate the system as well excellent so it's just on that also how do things like analytics fit into the entire monitoring discussion help us understand how that fits in with some of the rest of the Dell portfolio yeah that's exactly where I was going to go over the last piece of this is why would I Q is something that's really important is Prateek for us cloud IQ of course comes with power so it comes with all of our storage offerings today we're officially announcing it coming across our infrastructure portfolio as well and that's really game-changing for customers in a number of different ways first is it really helps produce risk in the environment because it shows you a health scare or for your data center and if it has an issue it will quickly help you pinpoint that and troubleshoot it before it ever actually becomes a problem that impacts your business you're gonna help you predict your future user needs things like predictive analytics built into cloud IQ help you do capacity forecasting and planning so that you can see exactly when you're going to get to those thresholds of 80 90 100 percent capacity and remedy that board impacts the business and with it now coming across the entire infrastructure portfolio the value it can bring is outside of just storage alone but to the entire data center and one of the biggest things our customers and partners have loved about Cloud IQ is the trusted advisor feature that allows these are our reps or partner to have the ability to be part of that cloud IQ experience he read into from a mobile application or from a web browser have that remote monitoring of the environment and add that human intelligence to the machine intelligence really manage that data center and help our customers stay on top of problems and stay ahead of them before they impact the business well Kaitlyn congratulations the whole power store team we understand a lot of hard work goes into building this and really look forward to by the time we get to Delta technology's world in the fall talking to customers that are using thanks so much for joining us and look forward to talking with you again thanks - great to see you all right be sure to check out the cube dotnet for all the upcoming events that we're doing right now of course a hundred percent remote I'm sue minimun and thank you for watching the Q [Music]

Published Date : May 5 2020

**Summary and Sentiment Analysis are not been shown because of improper transcript**

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Caitlin Halferty & Carlo Appugliese, IBM | IBM CDO Summit 2019


 

>> live from San Francisco, California. It's the Q covering the IBM Chief Data Officer Summit brought to you by IBM. >> Welcome back to Fisherman's Fisherman's Wharf in San Francisco. Everybody, my name is David wanted. You're watching the Cube, the leader in live tech coverage, you ought to events. We extract the signal from the noise. We're here. The IBM CDO event. This is the 10th anniversary of this event. Caitlin Hallford is here. She's the director of a I Accelerator and client success at IBM. Caitlin, great to see you again. Wow. 10 years. Amazing. They and Carlo Apple Apple Glace e is here. Who is the program director for data and a I at IBM. Because you again, my friend. Thanks for coming on to Cuba. Lums. Wow, this is 10 years, and I think the Cube is covered. Probably eight of these now. Yeah, kind of. We bounce between San Francisco and Boston to great places for CEOs. Good places to have intimate events, but and you're taking it global. I understand. Congratulations. Congratulations on the promotion. Thank you. Going. Thank you so much. >> So we, as you know well are well, no. We started our chief date officer summits in San Francisco here, and it's gone 2014. So this is our 10th 1 We do two a year. We found we really have a unique cohort of clients. The join us about 100 40 in San Francisco on the spring 140 in Boston in the fall, and we're here celebrating the 10th 10 Summit. >> So, Carlo, talk about your role and then let's get into how you guys, you know, work together. How you hand the baton way we'll get to the client piece. >> So I lead the Data Center League team, which is a group within our product development, working side by side with clients really to understand their needs as well developed, use cases on our platform and tools and make sure we are able to deliver on those. And then we work closely with the CDO team, the global CEO team on best practices, what patterns they're seeing from an architecture perspective. Make sure that our platforms really incorporating that stuff. >> And if I recall the data science that lead team is its presales correct and could >> be posted that it could, it really depends on the client, so it could be prior to them buying software or after they bought the software. If they need the help, we can also come in. >> Okay, so? So it can be a for pay service. Is that correct or Yeah, we can >> before pay. Or sometimes we do it based on just our relation with >> It's kind of a mixed then. Right? Okay, so you're learning the client's learning, so they're obviously good, good customers. And so you want to treat him right >> now? How do you guys work >> together? Maybe Caitlin, you can explain. The two organizations >> were often the early testers, early adopters of some of the capabilities. And so what we'll do is we'll test will literally will prove it out of skill internally using IBM itself as an example. And then, as we build out the capability, work with Carlo and his team to really drive that in a product and drive that into market, and we share a lot of client relationships where CEOs come to us, they're want advice and counsel on best practices across the organization. And they're looking for latest applications to deploy deploy known environments and so we can capture a lot of that feedback in some of the market user testing proved that out. Using IBM is an example and then work with you to really commercialized and bring it to market in the most efficient manner. >> You were talking this morning. You had a picture up of the first CDO event. No Internet, no wife in the basement. I love it. So how is this evolved from a theme standpoint? What do you What are the patterns? Sure. So when >> we started this, it was really a response. Thio primarily financial service is sector regulatory requirements, trying to get data right to meet those regulatory compliance initiatives. Defensive posture certainly weren't driving transformation within their enterprises. And what I've seen is a couple of those core elements are still key for us or data governance and data management. And some of those security access controls are always going to be important. But we're finding his videos more and more, have expanded scope of responsibilities with the enterprise they're looked at as a leader. They're no longer sitting within a c i o function there either appear or, you know, working in partnership with, and they're driving enterprise wide, you know, initiatives for the for their enterprises and organizations, which has been great to see. >> So we all remember when you know how very and declared data science was gonna be the number one job, and it actually kind of has become. I think I saw somewhere, maybe in Glass door was anointed that the top job, which is >> kind of cool to see. So what are you seeing >> with customers, Carlo? You guys, you have these these blueprints, you're now applying them, accelerating different industries. You mentioned health care this morning. >> What are some >> of those industry accelerators And how is that actually coming to fruition? Yes. >> So some of the things we're seeing is speaking of financial clients way go into a lot of them. We do these one on one engagements, we build them from custom. We co create these engineering solutions, our platform, and we're seeing patterns, patterns around different use cases that are coming up over and over again. And the one thing about data science Aye, aye. It's difficult to develop a solution because everybody's date is different. Everybody's business is different. So what we're trying to do is build these. We can't just build a widget that's going to solve the problem, because then you have to force your data into that, and we're seeing that that doesn't really work. So building a platform for these clients. But these accelerators, which are a set of core code source code notebooks, industry models in terms a CZ wells dashboards that allow them to quickly build out these use cases around a turn or segmentation on dhe. You know some other models we can grab the box provide the models, provide the know how with the source code, as well as a way for them to train them, deploy them and operationalize them in an organization. That's kind of what we're doing. >> You prime the pump >> prime minute pump, we call them there right now, we're doing client in eights for wealth management, and we're doing that, ref SS. And they come right on the box of our cloudpack for data platform. You could quickly click and install button, and in there you'll get the sample data files. You get no books. You get industry terms, your governance capability, as well as deployed dashboards and models. >> So talk more about >> cloudpack for data. What's inside of that brought back the >> data is a collection of micro Service's Andi. It includes a lot of things that we bring to market to help customers with their journey things from like data ingestion collection to all the way Thio, eh? I model development from building your models to deploying them to actually infusing them in your business process with bias detection or integration way have a lot of capability. Part >> of it's actually tooling. It's not just sort of so how to Pdf >> dualism entire platform eso. So the platform itself has everything you need an organization to kind of go from an idea to data ingestion and governance and management all the way to model training, development, deployment into integration into your business process. >> Now Caitlin, in the early days of the CDO, saw CDO emerging in healthcare, financialservices and government. And now it's kind of gone mainstream to the point where we had Mark Clare on who's the head of data neighborhood AstraZeneca. And he said, I'm not taking the CDO title, you know, because I'm all about data enablement and CDO. You know, title has sort of evolved. What have you seen? It's got clearly gone mainstream Yep. What are you seeing? In terms of adoption of that, that role and its impact on organizations, >> So couple of transit has been interesting both domestically and internationally as well. So we're seeing a lot of growth outside of the U. S. So we did our first inaugural summit in Tokyo. In Japan, there's a number of day leaders in Japan that are really eager to jump start their transformation initiatives. Also did our first Dubai summit. Middle East and Africa will be in South Africa next month at another studio summit. And what I'm seeing is outside of North America a lot of activity and interest in creating an enabling studio light capability. Data Leader, Like, um, and some of these guys, I think we're gonna leapfrog ahead. I think they're going to just absolutely jump jump ahead and in parallel, those traditional industries, you know, there's a new federal legislation coming down by year end for most federal agencies to appoint a chief data officer. So, you know, Washington, D. C. Is is hopping right now, we're getting a number of agencies requesting advice and counsel on how to set up the office how to be successful I think there's some great opportunity in those traditional industries and also seeing it, you know, outside the U. S. And cross nontraditional, >> you say >> Jump ahead. You mean jump ahead of where maybe some of the U. S. >> Absolute best? Absolutely. And I'm >> seeing a trend where you know, a lot of CEOs they're moving. They're really closer to the line of business, right? They're moving outside of technology, but they have to be technology savvy. They have a team of engineers and data scientists. So there is really an important role in every organization that I'm seeing for every client I go to. It's a little different, but you're right, it's it's definitely up and coming. Role is very important for especially for digital transformation. >> This is so good. I was gonna say one of the ways they are teens really, partner Well, together, I think is weaken source some of these in terms of enabling that you know, acceleration and leap frog. What are those pain points or use cases in traditional data management space? You know, the metadata. So I think you talk with Steven earlier about how we're doing some automated meditate a generation and really using a i t. O instead of manually having to label and tag that we're able to generate about 85% of our labels internally and drive that into existing product. Carlos using. And our clients are saying, Hey, we're spending, you know, hundreds of millions of dollars and we've got teams of massive teams of people manual work. And so we're able to recognize it, adopts something like that, press internally and then work with you guys >> actually think of every detail developer out there that has to go figure out what this date is. If you have a tool which we're trying to cooperate the platform based on the guidance from the CDO Global CEO team, we can automatically create that metadata are likely ingested and provide into platform so that data scientists can start to get value out >> of it quickly. So we heard Martin Schroeder talked about digital trade and public policy, and he said there were three things free flow of data. Unless it doesn't make sense like personal information prevent data localization mandates, yeah, and then protect algorithms and source code, which is an I P protection thing. So I'm interested in how your customers air Reacting to that framework, I presume the protect the algorithms and source code I p. That's near and dear right? They want to make sure that you're not taking models and then giving it to their competitors. >> Absolutely. And we talk about that every time we go in there and we work on projects. What's the I p? You know, how do we manage this? And you know, what we bring to the table with the accelerators is to help them jump start them right, even though that it's kind of our a p we created, but we give it to them and then what they derive from that when they incorporate their data, which is their i p, and create new models, that is then their i. P. So those air complicated questions and every company is a little different on what they're worried about with that, so but many banks, we give them all the I P to make sure that they're comfortable and especially in financial service is but some other spaces. It's very competitive. And then I was worried about it because it's, ah, known space. A lot of the algorithm for youse are all open source. They're known algorithms, so there's not a lot of problem there. >> It's how you apply them. That's >> exactly right how you apply them in that boundary of what >> is P, What's not. It's kind of >> fuzzy, >> and we encourage our clients a lot of times to drive that for >> the >> organisation, for us, internally, GDP, our readiness, it was occurring to the business unit level functional area. So it was, you know, we weren't where we needed to be in terms of achieving compliance. And we have the CEO office took ownership of that across the business and got it where we needed to be. And so we often encourage our clients to take ownership of something like that and use it as an opportunity to differentiate. >> And I talked about the whole time of clients. Their data is impor onto them. Them training models with that data for some new making new decisions is their unique value. Prop In there, I'd be so so we encourage them to make sure they're aware that don't just tore their data in any can, um, service out there model because they could be giving away their intellectual property, and it's important. Didn't understand that. >> So that's a complicated one. Write the piece and the other two seem to be even tougher. And some regards, like the free flow of data. I could see a lot of governments not wanting the free flow of data, but and the client is in the middle. OK, d'oh. Government is gonna adjudicate. What's that conversation like? The example that he gave was, maybe was interpolate. If it's if it's information about baggage claims, you can you can use the Blockchain and crypt it and then only see the data at the other end. So that was actually, I thought, a good example. Why do you want to restrict that flow of data? But if it's personal information, keep it in country. But how is that conversation going with clients? >> Leo. Those can involve depending on the country, right and where you're at in the industry. >> But some Western countries are strict about that. >> Absolutely. And this is why we've created a platform that allows for data virtualization. We use Cooper nannies and technologies under the covers so that you can manage that in different locations. You could manage it across. Ah, hybrid of data centers or hybrid of public cloud vendors. And it allows you to still have one business application, and you can kind of do some of the separation and even separation of data. So there's there's, there's, there's an approach there, you know. But you gotta do a balance. Balance it. You gotta balance between innovation, digital transformation and how much you wanna, you know, govern so governs important. And then, you know. But for some projects, we may want to just quickly prototype. So there's a balance there, too. >> Well, that data virtualization tech is interesting because it gets the other piece, which was prevent data localization mandates. But if there is a mandate and we know that some countries aren't going to relax that mandate, you have, ah, a technical solution for that >> architecture that will support that. And that's a big investment for us right now. And where we're doing a lot of work in that space. Obviously, with red hat, you saw partnership or acquisition. So that's been >> really Yeah, I heard something about that's important. That's that's that's a big part of Chapter two. Yeah, all right. We'll give you the final world Caitlyn on the spring. I guess it's not spring it. Secondly, this summer, right? CDO event? >> No, it's been agreed. First day. So we kicked off. Today. We've got a full set of client panel's tomorrow. We've got some announcements around our meta data that I mentioned. Risk insights is a really cool offering. We'll be talking more about. We also have cognitive support. This is another one. Our clients that I really wanted to help with some of their support back in systems. So a lot of exciting announcements, new thought leadership coming out. It's been a great event and looking forward to the next next day. >> Well, I love the fact >> that you guys have have tied data science into the sea. Sweet roll. You guys have done a great job, I think, better than anybody in terms of of, of really advocating for the chief data officer. And this is a great event because it's piers talking. Appears a lot of private conversations going on. So congratulations on all the success and continued success worldwide. >> Thank you so much. Thank you, Dave. >> You welcome. Keep it right there, everybody. We'll be back with our next guest. Ready for this short break. We have a panel coming up. This is David. Dante. You're >> watching the Cube from IBM CDO right back.

Published Date : Jun 24 2019

SUMMARY :

the IBM Chief Data Officer Summit brought to you by IBM. the leader in live tech coverage, you ought to events. So we, as you know well are well, no. We started our chief date officer summits in San Francisco here, How you hand the baton way we'll get to the client piece. So I lead the Data Center League team, which is a group within our product development, be posted that it could, it really depends on the client, so it could be prior So it can be a for pay service. Or sometimes we do it based on just our relation with And so you want to treat him right Maybe Caitlin, you can explain. can capture a lot of that feedback in some of the market user testing proved that out. What do you What are the patterns? And some of those security access controls are always going to be important. So we all remember when you know how very and declared data science was gonna be the number one job, So what are you seeing You guys, you have these these blueprints, of those industry accelerators And how is that actually coming to fruition? So some of the things we're seeing is speaking of financial clients way go into a lot prime minute pump, we call them there right now, we're doing client in eights for wealth management, What's inside of that brought back the It includes a lot of things that we bring to market It's not just sort of so how to Pdf So the platform itself has everything you need I'm not taking the CDO title, you know, because I'm all about data enablement and CDO. in those traditional industries and also seeing it, you know, outside the U. You mean jump ahead of where maybe some of the U. S. seeing a trend where you know, a lot of CEOs they're moving. And our clients are saying, Hey, we're spending, you know, hundreds of millions of dollars and we've got If you have a tool which we're trying to cooperate the platform based on the guidance from the CDO Global CEO team, So we heard Martin Schroeder talked about digital trade and public And you know, what we bring to the table It's how you apply them. It's kind of So it was, you know, we weren't where we needed to be in terms of achieving compliance. And I talked about the whole time of clients. And some regards, like the free flow of data. And it allows you to still have one business application, and you can kind of do some of the separation But if there is a mandate and we know that some countries aren't going to relax that mandate, Obviously, with red hat, you saw partnership or acquisition. We'll give you the final world Caitlyn on the spring. So a lot of exciting announcements, new thought leadership coming out. that you guys have have tied data science into the sea. Thank you so much. This is David.

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Caitlin Gordon, Dell EMC | Dell Technologies World 2019


 

>> live from Las Vegas. It's the queue covering del Technologies. World twenty nineteen, brought to you by Del Technologies and its ecosystem partners. >> Welcome back, everyone to the cubes. Live coverage of Del Technologies World here at the Venetian fifteen thousand attendees. One of the biggest, most important tech conferences all year long. I'm Rebecca, not your host. Along with my co host, stew Minutemen. We're joined by Caitlin Gordon. She is the VP product marketing at Delhi Emcee. Thanks so much for coming back on the cute Kate. I >> know This is so nice. Maybe we'LL have to make it three days in a row. >> I would we would love that. All right, so the last year at this very comforted you lunch power, Max, what's Tet Walker viewers through Sort of. The new capability is the latest and greatest. What's going on with power Max this year? >> Yeah, My favorite thing to talk about his power, Max. So we couldn't miss that today. Yeah, So a couple of updates in the Power Mac's front couple on the software side and then on more on the hardware side as well. S o from ah software side. We've got a couple pieces, which is a lot of our customers, really starting with the largest of our customers, are looking to add more automation into their data centers, and storage is no exception. And how do I automate some of those storage work clothes? Teo, make things run more seamlessly, get into more of a cloud operating model. So we had a couple of announcements on that front. We have a new V R. Oh, plug in, um, to automate work clothes through the r o A. CZ. Well, as ants will play books coming this summer, a couple important automation hand spins and obviously a lot more to come there in the future. The other one in a similar vein, is that containers, right. We've seen the increase adoption of container. So, um, and that the container is being used in production applications means that external storage is actually become a reality in that world, and the support for a C. S. I plug in on power Max, is something that we're seeing more interest from. So we have announced that's coming this summer as well. >> So, Caitlyn, I remember a year ago when Power Mask got announced. I heard things like intelligence and automation. And I went to add non, you know who's been working on this kind of technology for decades? Is that non how we've been talking about this for decades? Tell me why it's different and he lit up like I hadn't seen him in awhile, told me, What's going on for I want you to connect now a year later is what's this mean for customers? What does that automation? You know, an intelligence mean, is there a certain KP eyes or hero metrics who have is two customers using this today that they couldn't have done? And with you, no last generation intelligence storage? >> Yeah. Hey, think about it. It's really about moving to this concept of the Autonomous Data center. And how does this become an autonomous storage system? So both the intelligence within the system that we talked about last year and the decisions that the system is making itself every single day all by itself, that's that has really changed. And it's a completely new evolution of its making billions of decisions a day for customers so they don't have to do that means you're gonna have fewer people managing storage and they can invest in other things. Then when you move that up the stack, some of that the bureau, the answer will play books really enables you to then automate more of the work flows within that so again gets you more into that operating model, and you can automate not just the storage infrastructure, but then get to this autonomous data center >> So way talk to Travis briefly about Dev ops and you're mentioning answerable playbooks. You know, for years we've been talking to customers and saying, Okay, we we need to get two more agile environments, you know, Dev ops there, but enterprise storage specifically, there's a little bit slowed up, so it sounds like we're starting to get to greater adoption. What? What, what what got us over that you know, Hurdle, and where our customers with it today? >> Yeah, and I think it's really the maturity of our largest global customers that have gotten to a place where, for the workloads that will continue to remain on these thes on from infrastructure on our purpose built storage on our high end arrays, they need to run that as efficiently as possible. Um, and a lot of the work we've done to build in a. I does part of that, but really, ultimately they're looking at in there. Three. Terek protector. How do they run things more smoothly? Um, and it's really our customers that have brought that us is a requirement, and we've been able to to support that. >> So how do you work with customers? Mean innovation is, of course, an underlying theme of this of this conference. Talk about how you collaborate with customers to to solve their problems and how you help them. Think ahead what their future needs are. >> Yeah, and certainly Travis, I myself, might our teams, as well as the engineering team, spend a lot of time with our customers in the briefing centre. A lot of in the field, um, really talking about their challenges and the privilege that we have, especially with something like a Power Max platform, is the customers we have. There are the ones that are constantly pushing the boundaries of what we can do for them today, so they always need the best performance. The best efficiency and what has changed is they also now we need that simplicity. They need that operational simplicity, even on their high resiliency. High performance systems. Um, and we spend a lot of time understanding those requirements on DH, the problems that they're trying to solve and how we can help them get there and that that could be automation that could be containers. But it could also be cloud right, And that's the other piece that we've we made a lot of investments across our portfolio is how do we support that cloud consumption cloud operating model, leveraging public cloud? Um, and and a lot of it really just comes from how do we help our oppressors continue to solve their problems? >> It's a competitive marketplace, and, as you said, customers, they want everything. They want efficiency. They want simplicity. They wanted to not cost them too much money. What what's your unique selling point? How do you message this is This is why our solution is >> that I mean, our overall strategy delancy from a storage perspective is that we're way. We'LL have a single product in each segment with which we've compete and each one will be architected for very specific requirements so that we can meet the combination of a price points and it features and capabilities across all these different perspectives and that each one of our platforms is designed to be industry leading in that category. Which is why we have power Max on the high end, the resiliency, that performance, the availability that you know, banks, hospitals, governments around the world expect. But the same time we have mid range pot for us. We have an entry platform that could be sold for under twenty five thousand dollars, right and has a different set of requirements. We have the unstructured business, which is supporting the data. Aaron. That data explosion in a file data, Um, so the The fact is the matter is this. That is all about having the right actor architecture's so customers can have the data in the right place at the right time with the right service level. Um, and that's why we have this portfolio and within each portfolio that were leading in each one of those categories, That's kind of the bigger perspective we have on it. We do not just have a hammer. Not everything is a nail for us. Um, and that's an important part of how we can partner with with our customers to help themselves. Not one challenge, but all the challenges they have >> killing one of the interesting shifts we saw the show is clouds being talked at more than ever at this show. One of the earlier segments we had on we talked about the cloud enabled infrastructure. So things like power, Max, you know, I asked J. Crone, you know, tell me why this is cloud watching, and he gave me a good answer. What I want to ask you your angle on is when you talk to customers, you know how to storage fit into the overall discussion of their cloud strategy. You know what, some of the key business drivers and you know how how's Del technology? >> And I'm glad you said that because Jay and I have had this cloud washing conversation as well as I think that's the unfortunate thing in the reality in the market in the past, probably ten years is a lot of cloud washing, and where we're really focused today is, and we talked a little about this yesterday as well as they say. There's one piece of the how do we fit into overall Del technologies cloud strategy with the Del Tech Cloud. I'm in the VCF integration. We kind of covered that the other pieces that when we look at cloud enabled infrastructure, we're focused on solving really specific use cases that we hear our customers trying to solve today of connecting that data center into a public cloud. So that could be what we call cloud connected systems. The tearing of data from your own promises, infrastructure into the public cloud. Really, that's more of an archiving. This case, a kind of a tape replacement use case that could be dead, remain cloud tear, cloud tearing cloud pools. All the different pieces we have there could be CLO Data Services, right. Offering storage Data services is in a public cloud. Unity Cloud Edition will be one or the New Delhi emcee. Cloud storage services could be another one or even that cloud data insights piece of it. So it's really about solving that solving real challenges about disaster recovery Analytics in the cloud. How do you do that? In a really impactful way? That's simple and easy for customers. >> Yeah, the other Claude related thing wanted to get your take on is many of solutions. I heard on there is, you know, it's VX rail underneath. It's VX rail underneath. It's VX rail under >> you. Notice that >> I did, and you know a way. We had a number of people. V X ray. Lt's doing great, but, you know, if you talk about cloud and the infrastructure that I have in my data center, you know, we've talked Teo, talk to Dell for years. You know, the new power Max last year is underneath some of those admire. Where does that fit in? Kind of CIA and cloud, you know, infrastructure piece. >> Yeah, in a lot of different places. And for Roddy, for reasons, right? Some of us just the high value workloads you need. The scalability, the resiliency, the performance you need the ability to scale your computing your capacity separately. You want to be able to consolidate not just your applications, but actually all your file and sew something like unity or even power. Max, you can have your block workloads and your file workloads there. So we have a lot of customers looking to use traditional three tier architecture, but leverage that in a true cloud operating model from an automation standpoint, cloud consumption model, but also leveraging public cloud computing, right, leveraging the public cloud and really impactful ways, for example, for disaster recovery, eh? So it's really that combining what people love about our industry leading best of reed storage. Um, with that agility of the public cloud is a combination that we certainly hear a lot from our customers of How can I make the best use of clouds? Everyone walks in and say that club first strategy, but it's really about well, how do you actually think about data first and then how do you have a cloud strategy that supports that? >> So So let's talk about the future. I mean, ahs, You said This is what the customer is thinking about right now, but it's your job to think ahead and make sure that you are giving them solutions that fit their future need. So what are you thinking about the solutions that are available today that were really unimaginable five years ago. I think about ahead to twenty twenty five when there is enough data to fill the Empire State Building thirteen times over. How are you helping companies manage the tsunami of data? >> Yeah, and I think part of that is really about again the operations we talked about. Part of that really just comes back to having the right architecture for that type of workload. So this is where I salon actually well before the data era actually was designed for this specifically. So Iceland, created in the early two thousand's, was designed of one file system from terabytes and two petabytes. A single administrator can manage now up to fifty eight petabytes in a single file system. That's game changing when you think about the scale that we're seeing today. So the reason we went to that capacity isn't certainly just cause we thought we could. It was cause our customers were asking for it. Is these workloads in that data that we're talking about autonomous driving center that are just driving the scale? Ability limits, And they're asking for more and more in the most efficient floor print possible. And if you think about that, especially even in the cloud context, there's a There's a combination of How do you leverage that in the in the data center right? And physics means you can't get it up into the cloud necessarily. Um, but then also, there are use cases. They're like analytics of How do you leverage public cloud computing? But then you have that industry leading scale out now, as on the from the storage side so you can combine that. So you talk about something that we talked about here last year, and now we're talking about it a little bit more as well as our integration with Google Cloud platforms. So a lot of our customers are looking to use G. C p for compute for analytics workloads on DH. It's really almost rent your compute for analytics, but you have to have the right storage platform with the right architecture on the back end of that. So what we've done is fully integrated. Iceland, uh, platform and file system through G C P portal. So you could actually combine that public hug, compute and that file system that can support that type of scale. So it's a really unique combination that can help support not only the scale of that data, but also that some of the unique use cases and work loads that are coming out of that >> So Caitlin lot of products here that that would be talking about. Last thing I want to ask is customer customer conversation you have, you know, is data the center of the challenge and opportunity. They have something else that kind of bubbling up. As you look across the conversations you're having that you could have your audience. >> I think at the center of what I hear from customers, Data's in there, but they don't come in saying its data, right? They'll come in thinking about, you know, just trying to figure out how to use cloud properly there. Think about how Doe I simplify things. How do I, um, operate in a way to meet the service levels with a budget that's definitely not getting bigger? Um, and really be as efficient as possible. And it's not, um, some people are looking to go public. Cloud thinking. It's an easy button are there, but it's it's really about How do we change things? Teo run more efficiently and customers inherently to understand, right that the data is at the center of it, and that's increasingly the most valuable asset in the organization. And then they need to optimize their infrastructure to support that, so it really does come down to what? What can we help them to simplify? Optimize. Secure that so that they can truly unlock that. David Capital. >> Well, thank you so much, Caitlin, for coming back on the Cube. That's thanks for having me. Rebecca Knight for stew Minutemen. There is so much more coming up of the cubes. Live coverage of Del Technologies World in just a little bit.

Published Date : Apr 30 2019

SUMMARY :

It's the queue covering One of the biggest, most important tech conferences all year long. know This is so nice. All right, so the last year at this very comforted you lunch So we have announced that's coming this summer as well. And I went to add non, you know who's been working on this kind of technology So both the intelligence within the system that we talked about we we need to get two more agile environments, you know, Dev ops there, but enterprise storage Um, and a lot of the work we've done to build in a. I does part of that, but really, So how do you work with customers? A lot of in the field, How do you message this is This is why our solution is the resiliency, that performance, the availability that you know, banks, hospitals, One of the earlier segments we had on we talked about the cloud enabled infrastructure. We kind of covered that the other pieces that when we look at cloud enabled infrastructure, I heard on there is, you know, it's VX rail underneath. Notice that Kind of CIA and cloud, you know, infrastructure piece. The scalability, the resiliency, the performance you need the ability to scale your computing So what are you thinking about the solutions that are available today that as on the from the storage side so you can combine that. So Caitlin lot of products here that that would be talking about. you know, just trying to figure out how to use cloud properly there. Well, thank you so much, Caitlin, for coming back on the Cube.

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Caitlin Gordon, Dell EMC & Muneyb Minhazuddin, VMware | Dell Technologies World 2019


 

(upbeat tech music) >> Live from Las Vegas, it's theCUBE, covering Dell Technologies World 2019. Brought to you by Dell Technologies and it's ecosystem partners. >> Welcome back, everyone, to theCUBE's live coverage here in Las Vegas of Dell Technologies World. I am your host, Rebecca Knight, along with my esteemed co-host Stu Miniman. We are joined by Caitlin Gordon. She is the VP of product marketing at Dell EMC and Muneyb Minhazuddin, who is the VP solutions of product marketing at VMware. Thanks so much for returning to theCUBE. You guys are veterans. >> Thank you for having us. >> Thanks for having us. >> So we're going to talk about the VMware, Dell EMC storage portfolio. It is better together, which sounds like it's a theme for a political campaign. Walk our viewers through, give us some examples of how you are jointly coming up with solutions. >> Yeah, I'll start if that's all right. I think that a lot of what we've seen is that the Dell Technologies cloud strategy is such an important thing about what we're talking about today, but what we've also seen is that when we're looking to use the cloud, external storage is an important part of that strategy, so what we've already done is we've collaborated together to validate VCF with both unity and power max. And that's really the beginning of our journey together, to enable that external storage to be part of the workload domain, to have SDDC manager not just manage the other parts of the infrastructure, but to manage external storage and that you can have resiliency and performance for those workloads that need it, those kind of high value workloads that need it, and that's really the beginning. We think it's going to get much broader, much deeper integration as we continue to work together. >> Yeah and I think as a continued theme, and our solutions as, you know, Caitlin was pointing out, again, you know, what's most important and what's customers want out of this and their evolution of, you know, workloads, which are very data center centric and, you know, clients of our architecture with a very specific infrastructure, design, application, shifting towards more cloud native and public cloud hybrid applications. So, that has a different nature of storage requirements that got to evolve from block storage, file storage, object storage. That evolution needs to happen and not only happens better together with VMware and Dell EMC, so. >> So, Caitlin, I think back to this is the 10th year we're having theCUBE here, what used to be EMC World and it used to be you talked about VMware and storage and it was okay, let's go through the integration points that we had and EMC would say "we're as good or better "than everybody out there" and check all the boxes here. There's a shift today when we're talking about not just working with it, but, you know, integrations of products really it looks more like joint solutions. We know in VxRail, there's, you know, joint development that happens on, so give us a little bit about that difference about, you know, 2019 storage with Dell EMC and VMware versus the past. >> Yeah, and there is a shift, right? We're here together. (laughs) >> Absolutely. And our teams, our product management teams, our organizations are coming together, they're spending a lot of time together collaborating on what our strategy is together. How do we best approach that so we can bring solutions to our customers that provide that level that Dell Technologies can really provide that no one else can? And it's truly something unique and differentiated and what we're talking about today is really just the beginning. There's a lot more to come on that front. >> And you know, I think also the integrations in the past where I would call them API, interface driven, now like you point out, it's co-engineered starting with the solutions like VxRail, cloud foundation, and the co-engineering makes a big difference because we're sharing road maps. We're sharing hey, what are we thinking about performance? What are we thinking about, you know, application requirements? And that's very different to just, I'm going to partner with you, I'm going to pass from APIs, you going to call some APIs, and that has an impact on like ready solutions, it is cloud foundation, a full stack with life cycle, SDDC Manager. That kind of integration only happens with co-engineering. >> Talk a little bit about the partnership and this better together. We talked about the products and the solutions, but I want to hear about the cultural, the cultures of the two companies. We know, I mean they're both technology powerhouse, both technology optimists. How would you describe the different cultures and how you can reflect each other and collaborate with each other in different ways? >> You want to start with that one? >> Sure, I think it's very interesting coming from, you know, west coast software, agile, we're like hey, we'll have VMworld in a few months, but you know, we're still from a software agile world. We're coming out with new services for Vmworld, we're not defined yet. And then working with, you know, Dell EMC folks who are, you're already looking at performance, infrastructure, planning, so the road map alignment of, you know, every three months, I'm going to come out with software innovation, whereas you have to put a lot of thought process into how to do this. It's actually had been quite interesting. You know, it's I would call it interesting because it was tough. It was tough initially to kind of figure out how do you kind of, you know, bring a cohesive road map where you're making 12 months, you know, infrastructure, investment in road map to three months of software cycle, but I think it's actually come together really well. >> And at the end of the day, we're talking the same customers and we're solving the same problems and in a lot of ways, that kind of legacy Dell EMC's side has come from the infrastructure, from the bottom up, and then the VMware kind of has come from the top down, and bringing those two together, although our development cycles have a different kind of time span against them, we're trying to solve the same problems for our customers and that's really where a lot of those innovations are going to continue to come. >> One of those interesting points you talk about from the bottom down and the top, bottom down and bottom up and top down. Sorry, >> (laughter) it's been a long day so far. >> We forgive you. We forgive you. >> These new waves of technology, you know, remember back to, you know, when flash rolled out. There were things that needed to do the infrastructure layer and there's stuff that happens on the application side. We are seeing a real renaissance in what's happening in the storage industry. Talk about NVMe, storage class memory. It's not just okay I have some new gear and I have to redo it, but, you know, it dramatically changes, you know, we're getting ready to scuzzy stack when you talk about the applications side, so, you know, I'd love to hear how this comes together and, you know, what's in the product today and how are you developing these together? >> Another interesting example that almost crosses those two is CloudIQ. So CloudIQ is something that we've developed in-house. It's an agile developed software application that is a cloud native app developed with pivotal, runs on a Dell EMC cloud. That's run out of our side of the house and it came out actually with Unity three years ago today. We now have that not just across our core storage portfolio, but we have that now with VM health insights, as well, where we've actually taken that approach where we can give that impact as well, and I think that that just shows you kind of how we do have those pieces of the culture too coming together and trying to bring these solutions together. >> I know, and I think again, you know, thinking customers first, right. We talk about this, you know, multi cloud, hybrid cloud environments where people are taking their workloads, they compute storage, networking requirement, and they're trying to migrate their workloads back and forth, but, you know, there's a more important part of the workload migration is also the data migration, right, so how do you take, you know, data migration and look at different data sources, look at your data bases, look at your, you know, different kind of data migration, and that's where, you know, storage is so critical. It's easy to take a snapshot of a workload and move it across, but then, if you have to pin it on a very seamless data migration pad, you have to have really clear storage strategies, which will support your, you know, hyper converge, your hybrid cloud, your external storage strategies that you got to map to that migration pad. >> Yeah and a service that we're going to announce tomorrow I started to kind of address that too, of like, how do you combine some of the public cloud compute and the agility of that with using these native array-based replication to get the data there, right, and combining not just that simple data movement, but having that application awareness and that application consistency, which is so critical for things like disaster recovery, which is one of the main things we certainly hear from our customers, how do I used the public cloud as my DR site? They don't want to run their own disaster recovery data centers. Customers of all shapes and sizes are really going there and something that we're announcing tomorrow is another example of that so we'll talk more about that one tomorrow, but we've got some more news on that one as well. >> So, in talking about the trends in cloud, we know that it's a multi cloud world, it's a hybrid cloud world. You were just talking about the different ways in which customers want to do their work and the different places they want to do it, public, private. What are some other trends that you're seeing and where do you think we're going to be talking about it in the years to come on this? >> Sure, like, you know, I think the traditional workloads is breaking out into two things. One is do I migrate into the cloud? And the second is I'm rewriting the application to be more cloud native. And it's not the entire application, and it's a classic example, I'm sure all of you do mobile banking, right? And guess what? I've worked with, lot of financial companies are doing this. It's a really cool, cloud native mobile application where I'm doing all my mobile banking, but then, my query goes to a main frame in a banking ledger, which is still, you know, where your banking ledgers maintain. And then pull through a three tier application through a web and database tier, pushed out to the cloud, and accessed by a cloud native environment. Where I'm coming at is even though it looks very modern, a lot of customers are maintaining this computer history museum, which all these apps are scaling through and that's not going away in our lifetime, because, you know, there's a lot of complexity in there, and it's really how we help our customers in the journey to pay off their technical debt and move over to newer technologies, be it cloud, cloud native, and get a clean start. You know, if you're a startup, you don't have all these technical debt, but unfortunately a lot of the large companies have these technical debt and how we help customers, because they're really lost. They're like I don't know what to do, there's so much coming at me, and they need the help, and I think that that's where the power of Dell Technologies comes together in giving them that journey. >> Yeah and the bank is a really good example. We have a customer who's exactly that example where everything from the main frame that runs all their transaction processing that they've always run to their mobile applications all run off of a power max, and part of this journey for them is that they absolutely need that infrastructure, but they also need to simplify their operations as much as possible and I think one platform to consolidate all that on is true in banks, and governments, and hospitals around the world and I think that that's part of where we see a lot of this pull of how do I get that cloud experience, but how do I still use that infrastructure that I have? >> Caitlin, everybody's trying to squint through the new announcement of the Dell Technologies cloud there and what does this mean to the storage people, you know, what storage is underneath that? Is that something that they see it, will they recognize it? I was wondering if you can help eliminate that some. >> Yeah and some of this will be a little clearer too tomorrow as we talk through a little bit more of the details, but if you think through the Dell Technologies cloud strategy essentially as two parts, the Dell Technologies cloud announced today and then Dell Technologies cloud enabled infrastructure that we'll talk through tomorrow. So the Dell Technologies cloud, what we announced today, essentially has two different flavors announced today and then one that we kind of said where we're going in the future. One is the Dell Technologies cloud platform, which is essentially the VxRail infrastructure and that's that first offer, and then there's the data center as service, the VMware cloud on Dell EMC. The third one, which was only mentioned quickly today, is that validated design. So that's leveraging our best of breed three tier architecture, including storage with that. The term that Jeff used today was VCF ready. Right, it validated with VCF, that's with Unity and Power max today. Again, that's the beginning, but you can picture what we're doing with validated design, is really enabling us to offer our three tier architecture, best of breed, across all three tiers, and leveraging VCF for that life cycle management, etc. >> And again, it's giving customers those choices to say hey, do I want to keep and maintain my, modernize my infrastructure, or do I have, you know, and this is the trend shifting where hybrid, you know, people will be talking about that, it's just the trend shifted only in the last couple of years for hybrid in, shut down my data center and go to the cloud. Now it's really kind of gone two way. The streets changed from not just going from data center to the cloud, but also coming from cloud to the data center, so the interesting challenges become about not just taking the requirements of your, you know, client server architecture and migrating it to, you know, elastic cloud architecture, which also taking that elastic EC2, you know, Azure environment and landing them into your data center environments managed a service, so that comes with its own challenges, but that's where customers want it to be, because you know, they're going "I've built so much IP, natively in my cloud, "applications that I've built over the years "and now I have a need for it closer to my data center "or my users or my edge and I really need to bring it back" And that's, you know, having challenges from a storage perspective. Now, they were not designed for client server, they were designed for cloud native elasticity, so I go to build storage architecture that's supposed there. >> And I think the other pieces that, and we'll talk some about this tomorrow, but this Dell Technologies cloud enabled infrastructure is kind of a, the other side of the coin, where we think about Dell Technologies cloud, that's really transforming into a cloud operating model and you're purchasing infrastructure to really transform that, but a lot of our customers want to use the cloud for very specific use cases. They want to replace tape and they want to archive to the cloud, right, so we have the capabilities and we'll continue and the vast capabilities of simply moving data from your infrastructure into public cloud, converting into object and putting in there, so you've met the cost profile, and you can maybe finally get rid of tape. I think I've for 14 years been trying to get rid of tape in the industry. Haven't gotten there yet. But then there's things like offering your data services, storage, data protection, data services in a cloud, so offer to find assets in the cloud or even as a service consumption of our infrastructure. So again, more on that tomorrow. And then there's the how do you manage that infrastructure and the data itself? Having that visibility on that and that's really that kind of cloud data insights piece of that. So that's really the cloud enabled infrastructure piece is really about getting to how do I leverage the cloud for disaster recovery, for archiving, for analytics? That type of thing. So, a lot of the things we'll talk about tomorrow more focus on those types of cases as well. >> Well you've given us a lot of tantalizing tidbits about what we're going to hear tomorrow, so thank you-- >> So now you have to tune in. >> We will be here. You better be here too. >> I know where to find you. >> Caitlin, Muneyb, thank you so much for coming on theCUBE. This was great. >> Thanks. >> Thank you for having us. >> I'm Rebecca Knight for Stu Miniman. We will have a lot more of our, theCUBE's live coverage of Dell Technologies World coming up in just a little bit. (upbeat tech music)

Published Date : Apr 30 2019

SUMMARY :

Brought to you by Dell Technologies She is the VP of product about the VMware, Dell EMC and that you can have and our solutions as, you and it used to be you talked Yeah, and there is a shift, right? the beginning. What are we thinking about, you know, the cultures of the two companies. but you know, we're still and that's really where a the bottom down and the top, it's been a long day so far. We forgive you. so, you know, I'd love to of the house and it came and that's where, you know, and the agility of that and where do you think we're which is still, you know, Yeah and the bank is announcement of the Dell bit more of the details, and migrating it to, you know, So, a lot of the things we'll We will be here. Caitlin, Muneyb, thank you of Dell Technologies World

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Caitlin Halferty & Sonia Mezzetta, IBM | IBM CDO Fall Summit 2018


 

>> Live from Boston, it's the CUBE. Covering IBM Chief Data Officer Summit. Brought to you by IBM. >> Welcome to the CUBE's live coverage of IBM Chief Data Officer Summit here in Boston, Massachusetts. I'm your host, Rebecca Knight along with my co host, Paul Gillin. We're starting our coverage today. This is the very first day of the summit. We have two guests, Caitlin Halferty, she is the AI accelerator lead at IBM, and Sonia Mezzetta, the data governance technical product leader. Thank you both so much for coming on the CUBE >> Thanks for having us. >> So this is the ninth summit. Which really seems hard to belief. But we're talking about the growth of the event and just the kinds of people who come here. Just set the scene for our viewers a little bit, Caitlin. >> Sure, so when we started this event back in 2014, we really were focused on building the role of the chief data officer, and at that time, we know that there were just a handful across industries. Few in finance banking, few in health care, few in retail, that was about it. And now, you know, Gartner and Forrester, some industry analysts say there are thousands across industries. So it's not so much about demonstrating the value or the importance, now, it's about how are our Chief Data Officers going to have the most impact. The most business impact. And we're finding that they're really the decision-makers responsible for investment decisions, bringing cognition, AI to their organizations. And the role has grown and evolved. When we started the first event, we had about 20, 30 attendees. And now, we get 140, that join us in the Spring in San Francisco and 140 here today in Boston. So we've really been excited to see the growth of the community over the last four years now. >> How does that affect the relationship, IBM's relationship with the customer? Traditionally, your constituent has been the CIO perhaps the COO, but you've got this new C level executive. Now, what role do they play in the buying decision? >> There was really a lot of, I think back to, I co-authored a paper with some colleagues in 2014 on the rise of Chief Data Officer. And at that time, we interviewed 22 individuals and it was qualitative because there just weren't many to interview, I couldn't do a quantitative study. You know, I didn't have sample size. And so, it's been really exciting to see that grow and then it's not just the numbers grow, it's the impact they're having. So to you questions of what role are they playing, we are seeing that more and more their scope is increasing, their armed and equipped with teams that lead data science, machine learning, deep learning capabilities so they're differentiated from a technology perspective. And then they're really armed with the investment and budget decisions. How should we invest in technology. Use data as a strategic corporate asset to drive our progress forward in transformation. And so we've really seen a significant scope increase in terms of roles and responsibilities. And I will say though, there's still that blocking and tackling around data strategy, what makes a compelling data strategy. Is is the latest, greatest? Is it going to have an impact? So we're still working through those key items as well. >> So speaking of what makes this compelling strategy, I want to bring you into the conversation Sonia, because I now you're on the automated metadata generation initiative, which is a big push for IBM. Can you talk a little bit about what you're doing at IBM? >> Sure. So I am in charge of the data governance products internally within the company and specifically, we are talking today about the automated metadata generation tool. What we've tried to do with that particular product is to try to basically leverage automation and artificial intelligence to address metadata issues or challenges that we're facing as part of any traditional process that takes place today and trying to do curation for metadata. So specifically, what I would like to also point out is the fact that the metadata curation process in the traditional sense is something that's extremely time-consuming, very manual and actually tedious. So, one of the things that we wanted to do is to address those challenges with this solution. And to really focus in and hone in on leveraging the power of AI. And so one of the things that we did there was to basically take our traditional process, understand what were the major challenges and then focusing on how AI can address those challenges. And today at 4 p.m. I'll be giving a demo on that, so hopefully, everybody can understand the power of leveraging that. >> This may sound like a simple question, but I imagine for a lot of people outside of the CIO of the IT organization, their eyes glaze over when they hear terms like data governance. But it's really important. >> It is. >> So can you describe why it's important? >> Absolutely. >> And why metadata is important too. >> Absolutely. Well, I mean, metadata in itself is extremely critical for any data monetization position strategy, right. The other importance is in order to derive critical business insights that can lead to monetary value within a company. And the other aspect to that is data quality which Interpol talked about, right? So, in order for you to have the right data governance, you need to have right metadata in order for you to have high level of data quality can, if you don't and you're spending a lot of time cleaning dirty data and dealing with inefficiencies or perhaps making wrong business decisions based on bad data quality, it's all connected back to having the right level of data governance. >> So, I mean, I'm going to also go back to something you were talking about earlier and that's just the sheer number of CDOs that we have. We have statistic here, 90% of large global companies will have the CDO by 2019. That's really astonishing. Can you talk a little bit about what you see as sort of the top threats and opportunities that CDOs as grappling with right now. >> And let me make this tangible. I'll just describe my last two weeks, for example. I was with the CDO in person in Denver of a beer company, organization, and they were looking at some MNA opportunities and figuring out what their strategy was. I was at a bank in Chicago with the head of enterprise data government there, looking at it from a regular (mumbles) perspective. And then I was with a large multinational retail organization with their CDO and team figuring out how did they work at a sort of global scale and what did they centralize at enterprise data level. And what did they let markets and teams customize out in the field, out in the GOs. And so, that's just an example of, regardless of industry, regardless of these challenges, I'm seeing these individuals are increasingly responsible for those strategic decisions. And oftentimes, we start with the data strategy and have a good discussion about what is that organization's monetization strategy. What's the corporate business case? How are they going to make money in the future and how can we architect the data strategy that will accelerate their progress there? And again, regardless of product we're selling or retail, excuse me, our industry, those are the same types of challenges and opportunities we're grappling with. >> In the early days there was a lot of questions about the definition of the role and those CDOs set in different departments and reported to different people, are you seeing some commonality emerge now about how this role, where it sits in the organization, and what its responsibilities are? >> It's a great question, I get that all the time. And especially for organizations that recognize the need for enterprise data management. They want to invest in a senior level decision-maker. And then it's a question of where should they sit organizationally? For us internally, within IBM, we report to our Chief Financial Officer. And so, we find that to be quite a compelling fit in terms of budget. And visibility into some of those spend decisions. And we're on par in peers with our CIO, so I see that quite a bit where a Chief Data Officer is now on par and appear to the CIO. We tend to find that when it's potentially buried in the CIO's organization, you lose a little of that autonomy in terms of decision-making, so if you're able to position as partners and drive that transformation for your organization forward together, that can often work quite well. >> So that partnership, is it, I mean ideally, it is collaborative and collegial, but is it ever, are there ever tensions there and how do you recommend the companies get over, overcome those obstacles? >> Absolutely, in the fight for resources that we all have, especially talent and retaining some of our top talent, should that individual or those teams sit within a CIO's organization or a CDO's organization? How do we figure that out? I think there's always going to be the challenge of who owns what. We joke, sometimes, it feels like you own everything when you're in the data space, because you own all of the data that flows through, all your business processes, both CDO-owned and corporate HR's supply chain finance. Sometimes it feels you don't own anything. And so we joke that it's, you have to really carve that out. I think the important part is to really articulate what the data strategy is, what the CDO or enterprise data management office owns from a data perspective and then building up that platform and do it in partnership with your CIO team. And then you really start to be able to build and deploy those AI applications off that platform. That's what we've been able to see, so. >> I want to go back to something Sonia said this morning during the keynote, you talked about IBM's master metadata list catalog unifying your organization around a certain set of terms. There's 6,000 terms in that catalog. Now, how did you arrive at 6,000? And what are some rules for an organization trying to do something like that? How defined, how small should that sub-terms be? >> Sure. Well, we started off with a traditional approach which is probably something that most companies are familiar with these days. The traditional process was really just based on basically reaching out to a large number of subject matter experts across the enterprise that represent in many different data domains such as customer, offering, financial, etc. And essentially having them label this data, specifically with the business metadata that's used internally across a company. Now, another example to that is that there are different organizations across the company. We are a worldwide company. And so, what one business might call a particular piece of data, which is customer, another might call it client. Which really ended up being this very large list of 6,000 business terms which is what we're using internally. But one thing that we're trying to do to be able to kind to basically connect the different business terms is leverage knowledge management and specifically ontological relationships to be able to link the data together and make it more reasonable and provide better quality with that. >> What are the things that you were talking about, Interpol was talking about on the main stage too during the keynote, was making sure that the data is telling a story because getting by in is one of the biggest challenges. How do you recommend companies think about this and approach this very big daunting task? >> I'll start and then I'm sure you have a perspective as well. One of the things that we've seen internally and I work with my client on, is every project we initiate, we really want strong sponsorship from the business in terms of funding, making sure that the right decision-makers are involved. We've identified some projects for example, that we've been able to deploy around supply chains. So identifying the risk on our supply chain processes. Some of the risks in sites, we're going to demo a little bit later today. The AMG work that Sonia's leading. And all of those efforts are underway in partnership with the business. One of my favorite ones is around enabling our sellers to better understand information about, and data, about the customers. So like most organizations, customer data is housed in silo systems that don't necessarily talk well with each other, and so it's an effort to really pull that data together in partnership with our digital sellers and enable them to then pull up user interface, user-friendly, an app where they can identify and drill down to the types of information they need about their customers. And so our thought and recommendation based on our experience and then what I'm seeing is really having that strong partnership with the business. And the contribution funding, stakeholder involvement, engagement, and then you start to prioritize where you'll have the most impact. >> You did a program called the AI accelerator. What is that? >> We did, so when we stood up our first chief data office, it was three years ago now, we wanted to be quite transparent about the journey of driving cognition through our enterprise. And we were really targeting those CDO and processes around client master product data and then all of our enterprise processes. So that first six months was about writing the data strategy and implementing that, next we spent a year on all of our processes, really mapping out, we call it journey mapping, I think a lot of folks do that, by process. So HR, supply chain, identifying ways. How it's done today, how it will be done in a cognitive AI like future state. And then also, as we're driving out those efficiencies in automation, those reinvestment opportunities to free up that money for future initiatives. And so that was the first year, year and a half. And now, we're at the point where we've evolved far enough along that we think we're learned some lessons on the way and there's been some hurdles and stumbling blocks and obstacles. And so a year ago, we really start a cognitive enterprise blueprint and that was really intended to reflect all of our experiences, driving that transformation. A lot of customer engagements, lot of industry analysts feedback as well. And now we formalized that initiative. So now I have a really fantastic team of folks working with me. Subject matter domain expertise, really deep in different processes, solutions, folks, architects. And what we can do is pull together the right breadth and depth of IBM resources. Deploy it, customize it to customer need and really, hopefully, accelerate and apply a lot of what we've learned, lot of what the clients have learned, to accelerate their own AI transformation journey. >> But AI, IBM is the guinea pig and it showcase. And so you're learning as you go and helping customers do that too. >> Exactly and we've now built our platform, deployed that, as we mentioned, we've got about 30,000 active users, active users, using our platform. Plan to grow to 100,000. We're seeing about 600 million in business benefit internally from the work we've done. And so we want to really share that and do some good, best practice sharing and accelerate some of that process. >> IBM used the term cognitive rather than AI. What is the difference or is there one? >> I think we're starting actually to shift from cognitive to AI because of that exact perspective. AI, I think is better understood in the industry, in the market and that's what's resonating more so with clients and I think it's more reflective of what we're doing. And our particular approach is human in the loop. So we've always said rather than the black box sort of AI algorithms running behind the scenes, we want to make sure that we do that with trust and transparency, so there's a real transparency aspect to what we're doing. And the other thing I would notice, we talk about sort of your data is your data. Insights derive from that data is your insights. So we've worked quite closely with our legal teams to really articulate how your data is used. If you engage and partner with us to drive AI in your enterprise, making sure we have that trust and transparency (mumbles) clearly articulated is another important aspect for us. >> Getting right back to data governance. >> Right, right, exactly. Which is our we've come full circle. >> Well Caitlin and Sonia, thank you so much for coming on the CUBE, it was great. Great to kick off this summit together. >> Great to see you again, as always. >> I'm Rebecca Knight for Paul Gillin, stay tuned for more of the CUBE's live coverage of IBM CDO Summit here in Boston. (techno music)

Published Date : Nov 15 2018

SUMMARY :

Live from Boston, it's the CUBE. and Sonia Mezzetta, the data governance and just the kinds of people who come here. And the role has grown and evolved. How does that affect the relationship, And at that time, we interviewed 22 individuals I want to bring you into the conversation Sonia, And so one of the things that we did there but I imagine for a lot of people outside of the CIO And the other aspect to that is data quality the sheer number of CDOs that we have. And oftentimes, we start with the data strategy And especially for organizations that recognize the need And so we joke that it's, you have to really carve that out. during the keynote, you talked about IBM's master metadata the data together and make it more reasonable What are the things that you were talking about, And the contribution funding, stakeholder involvement, You did a program called the AI accelerator. And so that was the first year, year and a half. But AI, IBM is the guinea pig and it showcase. And so we want to really share that and do some good, What is the difference or is there one? And our particular approach is human in the loop. Which is our for coming on the CUBE, it was great. for more of the CUBE's live coverage

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Caitlin Halferty, IBM & Allen Crane, USAA | IBM CDO Summit Spring 2018


 

>> Announcer: Live from downtown San Francisco, it's theCUBE, covering IBM Chief Data Officers Strategy Summit 2018, brought to you by IBM. >> We're back in San Francisco, everybody. This is theCUBE, the leader in live tech coverage, and we're here covering exclusive coverage of IBM's Chief Data Officer Strategy Summit. This is the summit, as I said, they book in at each coast, San Francisco and Boston. Intimate, a lot of senior practitioners, chief data officers, data folks, people who love data. Caitlyn Halferty is back. She's the Client Engagement Executive and the Chief Data Officer office at IBM. Great. And, Allen Crane, Vice President at USAA. >> Thank you. >> Good to see you. Thanks for coming on. All right. >> Thanks for having us. >> You're welcome. Well, good day today, as I said, a very intimate crowd. You're here as a sort of defacto CDO, learning, sharing, connecting with peers. Set up your role, Allen. Tell us about that. >> At USA, we've got a distributed data and analytics organization where we have centralized functions in our hub, and then each of the lines of business have their own data offices. I happen to have responsibility for all the different ways that our members interact with us, so about 100 million phone calls a year, about a couple billion internet and digital sessions a year, most of that is on mobile, and always lookin' at the ways that we can give back time to our membership, as well as our customer service reps, who we call our member service reps, so that they can serve our members better. The faster and more predictive we can be with being able to understand our members better and prompt our MSRs with the right information to serve them, then the more they can get on to the actual value of that conversation. >> A lot of data. So, one of the things that Inderpal talked about the very first time I met him, in Boston, he talked about the Five Pillars, and the first one was you have to understand as a CDO, how your organization gets value out of data. You said that could be direct monetization or, I guess, increased revenue, cut costs. That's value. >> Right. >> That's right. >> That's the starting point. >> Right. >> So, how did you start? >> Well, actually, it was the internal monetization. So, first off, I want to say USA never sells any of our member data, so we don't think of monetization in that framework, but we do think of it terms of how do we give something that's even more precious than money back to our company and to our members and the MSRs? And, that is really that gift of time. By removing friction from the system, we've been able to reduce calls per member, through digitization activities, and reduced transfers and reduced misdirects by over 10% every year. We're doing work with AI and machine learning to be able to better anticipate what the member is calling about, so that we can get them to the right place at the right time to the right set member service representatives. And, so all these things have resulted in, not just time savings but, obviously, that translates directly to bottom line savings, but at the end of the day, it's about increasing that member service level, increasing your responsiveness, increasing the speed that you're answering the phone, and ultimately increasing that member satisfaction. >> Yeah, customer satisfaction, lowers churn rates, that's a form of monetization, >> Absolutely. >> so it's hard dollars to the CFO, right? >> Absolutely, yeah. >> All right, let's talk about the role of the CDO. This is something that we touched on earlier. >> Yes. >> We're bringing it home here. >> Yes. >> Last segment. Where are we at with the role of the CDO? It was sort of isolated for years in regulated industries, >> Correct. >> permeated to mainstream organizations. >> Correct. >> Many of those mainstream organizations can move faster, 'cause their not regulated, so have we sort of reached parody between the regulated and the unregulated, and what do you discern there in terms of patterns and states of innovation? >> Sure. I think when we kicked off these summits in 2014, many of our CDOs came from CIO type organizations, defensive posture, you know, king of the data warehouse that we joke about, and now annuls reports of that time were saying maybe 20% of large organizations were investing in the CDO or similar individual responsible for enterprise data, and now we see analysts reports coming out to say upwards of 85, even 90%, of organizations are investing in someone responsible for that role of the CDO type. In my opening remarks this morning, I polled the room to say who's here for the first time. It was interesting, 69, 70% of attendees were joining us for the first time, and I went back, okay, who's been here last year, year before, and I said who was here from the beginning, 2014 with us, and Allen is one of the individuals who's been with us. And, as much as the topics have changed and the role has grown and the purview and scope of responsibilities, some topics have remained, our attendees tell us, they're still important, top-of-mind, and data monetization is one of those. So, we always have a panel on data monetization, and we've had some good discussions recently, that the idea of it's just the external resell, or something to do with selling data externally is one view, but really driving that internal value, and the ways you drive out those efficiencies is another perspective on it. So, fortunate to have Allen here. >> Well, we've been able to, for that very reason, we've been able to grow our team from about six or seven people five years ago to well over a hundred people, that's focused on how we inefficiency out of the system. That mere 10%, when your call-per-member reduction, when you're taking 30 million calls in the bank, you know, that's real dollars, three million calls out of the system that you can monetize like that. So, it's real value that the company sees in us, and I think that, in a sense, is really how you want to be growing in a data organization, because people see value in you, are willing to give you more, and then you start getting into those interesting conversations, if I gave you more people, could you get me more results? >> Let's talk about digital transformation and how it relates to all this. Presumably, you've got a top down initiative, the CEO says, he or she says, okay, this is important. We got to do it. Boom, there's the North Star. Let's go. What's the right regime that you're seeing? Obviously, you've got to have the executive buy-in, you've got the Chief Data Officer, you have the Chief Digital Officer, the Chief Operating Officer, the CFO's always going to be there, making sure things are on track. How are you seeing that whole thing shake out, at least in your organization? >> Well, one thing that we've been seeing is digital digitization or the digital transformation is not about just going only digital. It's how does all this work together. It can't just be an additive function, where you're still taking just as many calls and so forth, but it's got to be something that that experience online has got to do something that's transformative in your organization. So, we really look at the member all the way through that whole ecosystem, and not just through the digital lens. And, that's really where teams like ours have really been able to stitch together the member experience across all their channels that they're interacting with us, whether that's the marketing channels or the digital channels or the call channel, so that we can better understand that experience. But, it's certainly a complementary one. It can't just be an additive one. >> I wonder if we could talk about complacency, in terms of digital transformation. I talk to a lot of companies and there's discussion about digital, but you talk to a lot of people who say, well, we're doing fine. Maybe not in our industry. Insurance is one that hasn't been highly disruptive, financial services, things like aerospace. I'll be retired by the time this all, I mean, that's true, right? And, probably accurate. So, are you seeing a sense of complacency or are you seeing a sense of urgency, or a mix or both? What are you seeing, Caitlyn? >> Well, it's interesting, and people may not be aware, but I'm constantly polling our attendees to ask what are top-of-mind topics, what are you struggling with, where are you seeing successes, and digital was one that came up for this particular session, which is why tomorrow's keynote, we have our Chief Digital Officer giving the morning keynote, to show how our data office and digital office are partnering to drive transformation internally. So, at least for our perspective, in the internal side of it, we have a priority initiative, a cognitive sales advisor, and it's essentially intended to bring in disparate part of customer data, obtained through many different channels, all the ways that they engage with us, online and other, and then, deliver it through sales advisor app that empowers our digital sellers to better meet their revenue targets and impact, and develop more of a quality client relationship and improve that customer experience. So, internally, at least, it's been interesting to see one of our strongest partnerships, in terms of business unit, has been our data and digital office. They say, look, the quality of the data is at the core, you then enable our digital sellers, and our clients benefit, for a better client experience. >> Well, about a year ago, we absolutely changed the organization to align the data office with the digital office, so that reports to our executive counsel level, so their peers, that reporting to the same organization, to ensure that those strategies are connected. >> Yeah, so as Caitlyn was saying, this Chief Data Officer kind of emerged from a defensive posture of compliance, governance, data quality. The Chief Digital Officer, kind of new, oftentimes associated with marketing, more of an external, perhaps, facing role, not always. And then, the CIO, we'll say, well, wait a minute, data is the CIO's job, but, of course, the CIO, she's too busy trying to keep the lights on and make everything work. So, where does the technology organization fit? >> Well, all that's together, so when we brought all those things together at the organizational level, digital, data, and technology were all together, and even design. So, you guys are all peers, reporting into the executive committee, essentially, is that right? Yes, our data, technology, and design, and digital office are all peers reporting to the same executive level. And then, one of the other pillars that Inderpal talks about is the relationship with the line of business. So, how is that connective tissue created? Well, being on the side that is responsible for how all of our members interact, my organization touches every product, every line of business, every channel that our members are interacting with, so our data is actually shared across the organization, so right now, really my focus is to make sure that that data is as accessible as it can be across our enterprise partners, it's as democratized as it can be, it's as high as quality. And then, things that we're doing around machine learning and AI, can be enabled and plugged into from all those different lines of business. >> What does success look like in your organization? How do you know you're doing well? I mean, obviously, dropping money to the bottom line, but how are you guys measuring yourselves and setting objectives? What's your North Star? >> I think success, for me, is when you're doing a good job, to the point that people say that question, could you do more if I gave you more? That, to me, is the ultimate validation. It's how we grew as an organization. You know, we don't have to play that justification game When people are already coming to the table saying, You're doing great work. How can you do more great work? >> So, what's next for these summits? Are you doing Boston again in the fall? Is that right? Are you planning >> We are, we are, >> on doing that? >> and you know, fall of last year, we released the blueprint, and the intent was to say, hey, here's the reflection of our 18 months, internal journey, as well as all our client interactions and their feedback, and we said, we're coming back in the spring and we're showing you the detail of how we really built out these internal platforms. So, we released our hybrid on-prem Cloud showcase today, which was great, and to the level of specificity that shows that the product solutions, what we're using, the Flash Storage, some of the AI components of machine learning models. >> The cognitive systems component? >> Exactly. And then, our vision, to your question to the fall, is coming back with the public Cloud showcases. So, we're already internally doing work on our public Cloud, in particular respect to our backup, some of our very sensitive client data, as well as some initial deep learning models, so those are the three pieces we're doing in public Cloud internally, and just as we made the commitment to come back and unveil and show those detail, we want to come back in the fall and show a variety of public Cloud showcases where we're doing this work. And then, hopefully, we'll continue to partner and say, hey, here's how we're doing it. We'd love to see how you're doing it. Let's share some best practices, accelerate, build these capabilities. And, I'll say to your business benefit question, what we've found is once we've built that platform, we call it, internally, a one IBM architecture, out our platform, we can then drive critical initiatives for the enterprise. So, for us, GVPR, you know, we own delivery of GVPR readiness across the IBM corporation, working with senior executives in all of our lines of business, to make sure we get there. But, now we've got the responsibility to drive out initiatives like that cross business unit, to your question on the partnerships. >> The evolution of this event seems to be, well, it's got a lot of evangelism early on, and now it's really practical, sort of sharing, like you say, the blueprint, how to apply it, a lot of people asking questions, you know, there's different levels of maturity. Now, you guys back tomorrow? You got to panel, you guys are doing a panel on data monetization? >> We're doing a panel on data monetization tomorrow. >> Okay, and then, you've got Bob Lord and Inderpal talking about that, so perfect juxtaposition and teamwork of those two major roles. >> And, this is the first time we've really showcased the data/digital partnership and connection, so I'm excited, want to appeal to the developer viewpoint of this. So, I think it'll be a great conversation about data at the core, driving digital transformation. And then, as you said, our data monetization panel, both external efforts, as well as a lot of the internal value that we're all driving, so I think that'll be a great session tomorrow. >> Well, and it's important, 'cause there's a lot of confusing, and still is a lot of confusion about those roles, and you made the point early today, is look, there's a big organizational issue you have to deal with, particularly around data silos, MyData. I presume you guys are attacking that challenge? >> Absolutely. >> Still, it's still a-- >> It's an ongoing-- >> Oh, absolutely. >> I think we're getting a lot better at it, but you've got to lean in, because if it's not internal, it's some of the external challenges around. Now we're picking Cloud vendors and so forth. Ten years ago, we had our own silos and our own warehouses, if we had a warehouse, and then, we were kind of moving into our own silos in our own databases, and then as we democratized that, we solved the one problem, but now our data's so big and compute needs are so large that we have no choice but to get more external into Cloud. So, you have to lean in, because everything is changing at such a rapid rate. >> And, it requires leadership. >> Yep. >> Absolutely. >> The whole digital data really requires excellent leadership, vision. IBM's catalyzing a lot of that conversation, so congratulations on getting this going. Last thoughts. >> Oh, I would just say, we were joking that 2014, the first couple of summits, small group, maybe 20-30 participants figuring out how to best organize from a structural perspective, you set up the office, what sort of outcomes, metrics, are we going to measure against, and those things, I think, will continue to be topics of discussion, but now we see we've got about 500 data leaders that are tracking our journey and that are involved and engaged with us. We've done a lot in North America, we're starting to do more outside the geographies, as well, which is great to see. So, I just have to say I think it's interesting to see the topics that continue to be of interest, the governance, the data monetization, and then, the new areas around AI, machine learning, data science, >> data science >> the empowering developers, the DevOps delivery, how we're going to deliver that type of training. So, it's been really exciting to see the community grow and all the best practices leveraged, and look forward to continuing to do more of that this year as well. >> Well, you obviously get a lot of value out of these events. You were here at the first one, you're here today. So, 2018. Your thoughts? >> I think the first one, we were all trying to figure out who we are, what's our role, and it varied from I'm a individual contributor, data evangelist in the organization to I'm king of the warehouse thing. >> Right. >> And, largely, from that defensive standpoint. I think, today, you see a lot more people that are leaning in, leading data science teams, leading the future of where the organizations are going to be going. This is really where the center of a lot of organizations are starting to pivot and look, and see, where is the future, and how does data become the leading edge of where the organization is going, so it's pretty cool to be a part of a community like this that's evolving that way, but then also being able to have that at a local level within your own organization. >> Well, another big take-away for me is the USAA example shows that this can pay for itself when you grow your own organization from a handful of people to a hundred plus individuals, driving value, so it makes it easier to justify, when you can demonstrate a business case. Well, guys, thanks very much for helping me wrap here. >> Absolutely. >> I appreciate you having us here. >> Thank you. >> It's been a great event. Always a pleasure, hopefully, we'll see you in the fall. >> Sounds good. Thank you so much. >> All right, thanks, everybody, for watching. We're out. This is theCUBE from IBM CDO Summit. Check out theCUBE.net for all of the videos, siliconangle.com for all the news summaries of this event, and wikibon.com for all the research. We'll see you next time. (techy music)

Published Date : May 2 2018

SUMMARY :

brought to you by IBM. and the Chief Data Officer office at IBM. Good to see you. Well, good day today, as I said, a very intimate crowd. and always lookin' at the ways that we can give back time and the first one was you have to understand as a CDO, so that we can get them to the right place at the right time This is something that we touched on earlier. Where are we at with the role of the CDO? and the ways you drive out that you can monetize like that. the CFO's always going to be there, so that we can better understand that experience. So, are you seeing a sense of complacency giving the morning keynote, to show how our so that reports to our executive counsel level, data is the CIO's job, is the relationship with the line of business. When people are already coming to the table saying, and we're showing you the detail in all of our lines of business, to make sure we get there. The evolution of this event seems to be, Okay, and then, you've got about data at the core, driving digital transformation. and you made the point early today, is look, and then as we democratized that, we solved the one problem, IBM's catalyzing a lot of that conversation, and that are involved and engaged with us. So, it's been really exciting to see the community grow Well, you obviously get a lot of value data evangelist in the organization so it's pretty cool to be a part of a community so it makes it easier to justify, Always a pleasure, hopefully, we'll see you in the fall. Thank you so much. siliconangle.com for all the news summaries of this event,

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Caitlin Halferty, IBM & Brandon Purcell, Forrester | IBM CDO Summit Spring 2018


 

>> Narrator: Live, from downtown San Francisco. It's theCUBE. Covering IBM Chief Data Officer Strategy Summit 2018. Brought to you by IBM. (techno music) >> Welcome back to San Francisco everybody. You're watching theCUBE, the leader in live tech coverage. My name is Dave Vellante. And we are here at the IBM CDO Strategy Summit hashtag IBMCDO. Caitlin Halferty is here. She's a client engagement executive for the chief data officer at IBM. Caitlin great to see you again. >> Great to be here, thank you. >> And she's joined by Brandon Purcell, who's principal analyst at Forrester Research. Good to have you on. >> Thanks very much, thanks for having me. >> First time on theCUBE. >> Yeah. >> You're very welcome. >> I'm a newbie. >> Caitlin... that's right, you're a newbie. You'll be a Cube alum in no time, I promise you. So Caitlin let's start with you. This is, you've done a number of these CDO events. You do some in Boston, you do some in San Francisco. And it's really great to see the practitioners here. You guys are bringing guys like Inderpal to the table. You've announced your blueprint in it. The audience seems to be lapping up the knowledge transfer. So what's the purpose of these events? How has it evolved? And just set the table for us. >> Sure, so we started back in 2014 with our first Chief Data Officer Summit and we held that here in San Francisco. Small group, probably only had about 30 or 40 attendees. And we said let's make this community focused, peer to peer networking. We're all trying to, ya know, build the role of either the Chief Data Officer or whomever is responsible for enterprise wide data strategy for their company, a variety of different titles. And we've grown that event over, since 2014. We do Spring, in San Francisco, which tends to be a bit more on the technical side, given where we are here in San Francisco in Silicon Valley. And then we do our business focused sessions in Fall in Boston. And I have to say, it's been really nice to see the community grow from a small set of attendees. And now was are at about 130 that join us on each coast. So we've built a community in total of about 500 CDOs and data executives, >> Nice. that are with us on this journey, so they're great. >> And Brandon, your focus at Forrester, part of it is AI, I know you did some other things in analytics, the ethics of AI, which we're going to talk about. I have to ask you from Forrester's perspective, we're enter... it feels like we're entering this new era of there's digital, there's data, there's AI. They seem to all overlap. What's your point of view on all this? >> So, I'm extremely optimistic about the future of AI. I realize that the term artificial intelligence is incredibly hyped right now. But I think it will ultimately fulfill it's promise. If you think about the life cycle of analytics, analytics start their lives as customer data. As customers interact and transact with you, that creates a foot print that you then have to analyze to unleash some sort of insight. This customer's likely to buy, or churn, or belongs to a specific segment. Then you have to take action. The buzzwords of the past have really focused on one piece of that life cycle. Big data, the data piece. Not much value unless you analyze that. So then predictive analytics, machine learning. What AI promises to do is to synthesize all of those pieces, from data, to insights, to action. And continuously learn and optimize. >> It's interesting you talk about that in terms of customer churn. I mean, with the internet, there was like a shift in the balance of power to the consumer. There used to be that the brand had all the knowledge about the buyer. And then with the internet, we shop around, we walk into a store and, look at them. Then we go buy it on the internet right? Now that AI maybe brings back more balance, symmetry. I mean, what are your thoughts on that? Are the clients that you work with, trying to sort of regain that advantage? So they can better understand the customer. >> Yeah, well that's a great question. I mean, if there's one kind of central ethos to Forrester's research it's that we live in the age of the customer and understanding and anticipating customer needs is paramount to be able to compete, right? And so it's the businesses in the age of AI and the age of the customer that have the data on the customer and enable the ability to distill that into insights that will ultimately succeed. And so the companies that have been able to identify the right value exchange with consumers, to give us a sense of convenience, so that we're willing to give up enough personal data to satisfy that convenience are the ones that I think are doing well. And certainly Netflix and Amazon come to mind there. >> Well for sure, and of course that gets into the privacy and the ethics of AI. I mean everyone's making a big deal out of this. You own your data. >> Yeah. >> You're not trying to monetize, ya know, figure out which ad to click on. Maybe give us your perspective, Caitlin, on IBMs point of view there? >> Sure, so we lead with this thought around trusting your data. You're data's your data. Insights derive from that data, your insights. We spend a lot of time with our Watson Legal folks. And one of the things, pieces of material we've released today is the real detail at every level how you engage the traceability of where your data is. So you have a sense of confidence that you know how it's treated, how it's curated. If it's used in some third party fashion. The ability to know that, have visibility into it. The opt-out, opt-in opt-out set of choices. Making sure that we're not exploiting the network effect, where perhaps party C benefits from data exchange between A and B. That A and B do not, or do not have an opportunity to influence. And so what we wanted to do, here at the summit over the next couple of days is really share that in detail and our thoughts around it. And it comes back to trust and being able to have that viability and traceability of your data through the value chain. >> So of course Brandon, as a customer I'm paying IBM so I would expect that IBM would look out for my privacy and make that promise. I don't really pay Facebook right? But I get some value out of it. So what are the ethics of that? Is it a pay or no pay? Or is it a value or no value? Is it everybody really needs to play by the same rules? How to you parse all that? >> Ya know, I hate to use a vague term. But it's a reasonable expectation. Like I think that when a person interacts with Facebook, there is a reasonable expectation that they're not going to take that data and sell it or monetize it to some third party, like Cambridge Analytica. And that's where they dropped the ball in that case. But, that's just in the actual data collection itself. There's also, there are also inherent ethical issues in how the data is actually transformed and analyzed. So just because you don't have like specific characteristics or attributes in data, like race and gender and age and socioeconomic status, in a multidimensional data set there are proxies for those through something called redundant encoding. So even if you don't want to use those factors to make decisions, you have to be very careful because they're probably in there anyway. And so you need to really think about what are your values as a brand? And when can you actually differentiate treatment, based on different attributes. >> Because you can make accurate inferences from that. >> Brandon: Yeah you're absolutely (mumbles). >> And is it the case of actually acting on that data? Or actually the ability to act on that data? If that makes sense to you. In other words, if an organization has that data and could, in theory, make the inference, but doesn't. Is that crossing the line? Is it the responsibility of the organization to identify those exposures and make sure that they can not be inferred? >> Yeah, I think it is. I think that that is incumbent upon our organizations today. Eventually regulators are going to get around to writing rules around this. And there's already some going into effect of course in Europe, with GDPR at the end of this month. But regulators are usually slow to catch up. So for now it's going to have to be organizations that think about this. And think about, okay, when is it okay to treat different customers differently? Because if we, if we break that promise, customers are going to ultimately leave us. >> That's a hard problem. >> Right, right. >> You guys have a lot of these discussions internally? >> We do. >> And can you share those with us? >> Yeah, absolutely, we do. And we get a lot of questions. We often engage at the data strategy perspective. And it starts with, hey we've got great activity occurring in our business units, in our functional areas, but we don't really have a handle on the enterprise wide data strategy. And at that point we start talking about trust, and privacy, and security, and what is your what does your data flows look like. So it starts at that initial data strategy discussion. And one other thing I mentioned in my opening remarks this morning is, we released this blueprint and it's intended, as you said, to put a framework in process and reflect a lot of the lessons learned that we're all going through. I know you mentioned that many companies are looking at AI adoption, perhaps more so than we realized. And so the framework was intended to help accelerate that process. And then our big announcement today has been around the showcases, in particular our platform showcase. So it's really the platform we've built, within our organization. The components, the products, the capabilities that drives for us. And then with the intent of hopefully being, illustrative and helpful to clients that are looking to build similar capabilities. >> So let's talk about adoption. >> Brandon: Yeah, sure. >> Ya know, we... you often hear this bromide that we live in a world where, that pace of change is so fast. And things are changing so quickly it's hard to deny that. But then when you look at adoption of some of the big themes in our time. Whether it's big data or AI, digital, block chains, there are some major barriers to adoption. So you see them adopted in pockets. What's your perspective, and Forrester's perspective on adoption of, let's call it machine intelligence? >> Yeah, sure, so I mean, every year Forrester does a global survey of business and technology decision leaders called Business Technographics. And we ask folks about adoptions rates of certain technologies. And so when it comes to AI, globally, 52% of companies have adopted AI in some way. And another 20% plan to in the next 12 months. What's interesting to me, actually, is when you break that down geographically, the highest adoption rate, 60 plus percent, is in APAC, followed by North America, followed by Europe. And when you think about the privacy regulations in each of those geographies, well there are far fewer in APAC than there are, and will be, in Europe. And that's, I think kind of hamstringing adoption in that geography. Now is that a problem for Europe? I don't think so actually. I think AI, the way AI is going to be adopted in Europe is going to be more refined and respectful of customers' intrinsic right to privacy. >> Dave: Ya know I want... Go ahead. >> I've got to, I have to say Dave, I have to put a plug in. I've been a huge fan of Brandon's, for a long time. I've actually, ya know, a few years now of his research. And some of the research that you're mentioning, I hope people are reading it. Because we find these reports to be really helpful to understand, as you said, the specifics of adoptions, the trends. So I've got to put a plug in there. >> Thanks Caitlin. >> Because, the quality of the work and the insights are incredible. So that is why I was quite excited when Brandon accepted our offer to join us here in this session. >> Awesome. Yeah, so, let's dig into that a little bit. >> Brandon: Sure. >> So it seems like, so 52%, I'm wondering, what the other 48 are doing? They probably are, and they just don't know it. So it's possible that the study looks at, a strategy to adopt, presumably. I mean actively adopting. But it seems, I wonder if I could run this by you, get your comment. It seems that people will, organizations will more likely be buying AI as embedded in applications or systems or just kind of invisible. Then they won't necessarily be building it. I know many are trying to probably build it today. And what's your thought on that? In terms of just AI infused everywhere? >> So the first foray for most enterprises into this world of AI is chat bots for customer service. >> Dave: Sure. >> I mean we get a ton of inquires at Forrester about that. And there are a number of solutions. Ya know, IBM certainly has one for, that fulfill that need. And that's a very narrow use case, right? And it's also a value added of use case. If you can take more of those call center agents out of the loop, or at least accelerate or make them better at their jobs, then you're going to see efficiency gains. But this isn't this company wide AI transformation. It's just one very narrow use case. And usually that's, most elements of that are pre-built. We talked this morning, or the speakers this morning talked about commoditization of certain aspects of machine learning and AI. And it's very true. I mean, machine learning algorithms, many of them have been around for a long time, and you can access them for multiple different platforms. Even natural language processing, which a few years ago was highly inaccurate, is getting really, really accurate. So when, in a world where all of these things are commoditized, it's going to end up being how you implement them that's going to drive differentiation. And so, I don't think there's any problem with buying solutions that have been pre-built. You just have to be very thoughtful about how you use them to ultimately make decisions that impact the customer experience. >> I want to, in the time we have remaining, I want to get into the tech radar, the sort of taxonomy of AI or machine intelligence. You've done some work here. How do you describe, can you paint a picture, for what that taxonomy looks like? >> So I think most people watching realize AI is not one specific thing right? It's a bunch of components, technologies that stitched together lead to something that can emulate certain things that humans do, like sense the world around us, see, read, hear, that can think or reason. That's the machine learning piece. And that can then take action. And that's the kind of automation piece. And there are different core technologies that make up each of those faculties. The kind of emerging ones are deep learning. Of course you hear about it all the time. Deep learning is inherently the use of artificial neural networks, usually to take some unstructured data, let's say pictures of cats, and identify this is actually a cat right? >> Who would have thought? That we're led to this boom right? >> Right exactly. That was something you couldn't do five or six years ago, right? You couldn't actually analyze picture data like you analyze row and column data. So that's leading to a transformation. The problem there is that not a lot of people have this massive number of pictures of cats that are consistently and accurately labeled cat, not cat, cat, not cat. And that's what you need to make that viable. So a lot of vendors, and Watson has an API for this have already trained a deep neural network to do that so the enterprises aren't starting from scratch. And I think we'll see more and more of these kind of pre-trained solutions and companies gravitating towards the pre-trained solutions. And looking for differentiation, not in the solutions themselves, but again how they actually implement it to impact the customer experience. >> Hmmm, well that's interesting, just hearing you sense, see, read, hear, reason, act. These are words that describe not the past era. This is a new era that we're entering. We're in the cloud era now. We can sort of all agree with that. But these, the cloud doesn't do these things. We are clearly entering a new wave. Maybe it's driven by Watson's Law, or whatever holds out. Caitlin I'll give you the last word. Put a bumper sticker on this event, and where we're at here in 2018? >> I'll say, it's interesting to watch the themes evolve over the last few years. Ya know, we started with sort of a defensive posture. Most of our data executives were coming perhaps from an IT type background. We see a lot more with line of business, and chief operations type role. And we've seen the, we still king of the data warehouse, that's sort of how we described at the time. And now, I see our data leaders really driving transformation. They're responsible for both the data as well as the digital transformation. On the data side, it's the AI focus. And trying to really understand the deep learning capabilities, machine learning, that they're bringing to bear. So it's been, for me, it's been really interesting to see the topics evolve, see the role in the strategic piece of it. As well as see these guys elevated, in terms of influence within their organization. And then, our big topic this year was around AI and understanding it. And so, having Brandon to share his expertise was very exciting for me because, he's our lead analyst in the AI space. And that's what our attendees are telling us. They want to better understand, and better understand how to take action to implement and see those business results. So I think we're going to continue to see more of that. And yeah, it's been great to see, great to see it evolve. >> Well congratulations on taking the lead, this is a very important space. Ya know, a lot of people didn't really believe in it early on, thought the Chief Data Officer role would just sort of disappear. But you guys, I think, made the right investment and a good call, so congratulations on that. >> I was laughed out of the room when I proposed, I said hey we're hearing of this, doing a market scan of Chief Data Officer, either by title or something similar, titled responsible for enterprise wide data. I was laughed out of the room. I said let me do a qualitative piece. Let me interview 20 and just show, and then you're right, it was the thought was, role's going to go by the wayside. And I think we've seen the opposite. >> Oh yeah, absolutely. >> Data has grown in importance. The associative capabilities have grown. And I'm seeing these individuals, their scope, their sphere of responsibility really grow quite a bit. >> Yeah Forrester's tracked this. I mean, you guys I think just a few years ago was like eh, yeah 20% of organizations have a Chief Data Officer and now it's much much higher than that. >> Yeah, yeah, it's approaching 50%. >> Yeah, so, good. Alright Brandon, Caitlin, thanks very much for coming on theCUBE. >> Thanks for having us. >> Thank you, it was great. >> Keep it right there everybody. We'll be back, at the IBM Chief Data Officer Strategy Summit. You're watching theCUBE. (techno music) (telephone tones)

Published Date : May 1 2018

SUMMARY :

Brought to you by IBM. Caitlin great to see you again. Good to have you on. And it's really great to see the practitioners here. And I have to say, it's been really nice to see that are with us on this journey, so they're great. I have to ask you from Forrester's perspective, I realize that the term artificial intelligence in the balance of power to the consumer. And so the companies that have been able to identify Well for sure, and of course that gets into the privacy Maybe give us your perspective, Caitlin, And it comes back to trust and being able to How to you parse all that? And so you need to really think about And is it the case of actually acting on that data? So for now it's going to have to be organizations And so the framework was intended to help And things are changing so quickly it's hard to deny that. And another 20% plan to in the next 12 months. Dave: Ya know I want... And some of the research that you're mentioning, and the insights are incredible. Yeah, so, let's dig into that a little bit. So it's possible that the study looks at, So the first foray for most enterprises You just have to be very thoughtful about how you use them I want to, in the time we have remaining, And that's the kind of automation piece. And that's what you need to make that viable. We're in the cloud era now. And so, having Brandon to share his expertise Well congratulations on taking the lead, And I think we've seen the opposite. And I'm seeing these individuals, their scope, I mean, you guys I think just a few years ago was like for coming on theCUBE. We'll be back, at the IBM Chief Data Officer

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Caitlin Gordon, Dell EMC | Dell Technologies World 2018


 

>> Announcer: Live from Las Vegas, it's the Cube. Covering Dell Technologies World 2018. Brought to you by Dell EMC and its ecosystem partners. >> Well welcome back. Glad to have you live here on the Cube as we continue our coverage of Dell Technologies World 2018. We are live in Las Vegas. We're in the Sands Exposition Center. I'm with Keith Townsend who had a heck of a night last night. Just a good chicken-and-waffle Las Vegas night. >> You know what? One o'clock in the morning is chicken and waffles here in the Grand Lux, and the view of Venetian, I have to eat at Palazzo because the one in the Venetian closes at 11. >> Oh my, well you know how to live. You know how to live. And I've always said that about you. (laughs) It's a pleasure to welcome as our first guest of the day, Caitlin Gordon, who is the Director of Storage Marketing at Dell EMC. And good afternoon, Caitlin. Thanks for joining us. >> Thank you so much for having me. >> John: A Cube vet, right? You're a Cube veteran. >> I mean as three, is that like, is you're over the hump as a veteran? >> John: Oh absolutely. >> All right, then yes, I'm in. >> You deserve a varsity letter now. >> Aw, do I get a letter jacket too? >> Well, we'll work on that later. We'll give you a Cube sticker for now how 'about that? >> Okay, I'll take a sticker. >> All right, so you've given, you've launched I would say given birth, but you've launched a brand new product today, PowerMax. Tell us all about that. First off, paint us the big picture, and we'll drill down a little bit and find out what's so new about this. >> Yeah, absolutely. So hot off the presses. Announced just two hours ago in the keynote this morning. So PowerMax is, really, the future of storage. The way we're talking about it, it is fast. It is smart and it's efficient. So we could kind of go through each one of those, but the headline here, this is modern tier zero storage. It's designed for traditional applications of today, but also next gen applications like real-time analytics. We have some metrics that show us that up to 70% of companies are going to have these mission-critical, real-time analytic workloads. And they're going to need a platform to support those and why shouldn't it be the same platform that they already have for those traditional workloads. >> So let's just go back. What makes it smarter? And what makes it more efficient? You know, what makes it faster? >> Caitlin: Can we start with fast? >> Yeah sure. >> Okay, that's my favorite one. So fast. I've got some good hero numbers for ya. So we'll start there. 10 million IOPS. That makes it the world's fastest storage array. Full stop. No caveats to that. 150 gigabytes a second throughput. We've got under 300 microseconds latency. That's up to 50% faster than what we already have with VMAX All Flash. So that's great. That's wicked fast, as Bob said, right? But how do we actually do that is a little bit more interesting. So the architecture behind that, it is a multi-controller, scale out architecture. Okay, that's good. That's check. You had a good start with that. But the next thing we did is we built that with end-to-end NVME. So end-to-end NVME means it's NVME-based drives, flash drives now, SCM drives, next generation media coming soon. It's also NVME over Fabric ready. So we're going to have a non-disruptive upgrade in the very near future to add support for NVME over Fabric. So that means you can get all the way from server across the network, to your storage array with NVME. It's really NVME done right. >> So let's talk about today. We've NVME, Fabric ready, which I love NVME over Fabric. Connectivity getting 10 million IOPS to the server in order to take care of that. What are the practical use cases for that much performance? What type of workloads are we seeing? >> Where we see this going in is to data centers where they want to consolidate all of their workloads, all of their practices, all of their processes, on a single platform. 10 million IOPS means you will never have to think about if that array can support that workload. You will be able to support everything. And again, traditional apps, but also these emerging apps, but also mainframe. IBM i, file, all on the same system. >> So can we talk about that as opposed to, let's say you even compare it to another Dell family technology. We just had the team Sean Amay and his VMware customer talking about SAP HANA on XtremIO. XtremIO is really great for one-to-one application mapping, so that's as SAP HANA. So are you telling me that PowerMax is positioned that I can run SAP HANA and in addition to my other data center workloads and get similar performance? >> Absolutely, it is the massive consolidator. It's kind of an app hoarder. You can put anything on it that you've got. And it's block, it's file, and then it's also got support for mainframe and IBM i, which there's still a significant amount of that out there. >> So that's an interesting thing. You're having all of these traditional data services. Usually when we see tier zero type of arrays, Dell EMC had one just last year, there's no services because you just, it's either go really fast or moderately fast and data services. How do you guys do that? >> Yeah well the benefit of where we're coming from is that we built this on the platform of the flagship storage array that's been leading the industry for decades. So what we did is we took the foundation of what we had with VMAX, and we built from that this end-to-end NVME PowerMax. So you get all of that best-in-class hardware, that optimized software, but it comes with all the data services. So you get six nines availability, best-in-class data protection, resiliency, everything that you'd need, so you never have to worry. So this is truly built for your mission-critical applications. >> Yeah, so really interesting speeds and feeds. Let's talk about managing this box. VMAX has come a long way from the Symmetrix days, so much easier to manage. However, we're worried today about data tiering, moving workloads from one area to another. These analytics workloads move fast. How does PowerMax help with day two operations? >> So you've heard the mention of autonomous infrastructure, right? Really PowerMax is autonomous storage. So what is has is it has a built-in, real-time, machine learning engine. And that's designed to use pattern recognition. It actually looks at the IOs and it can determine in a sub-millisecond time, what data is hot, what data should be living where, which data should be compressed. It can optimize the data placement. It can optimize the data reduction. And we see this as a critical enabler to actually leveraging next-generation media in the most effective way. We see some folks out there talking about SCM and using it more as a cache. We're going to have SCM in the array, side-by-side with Flash. Now we know that the price point on that when it comes out the door is going to be more than Flash. So how do you cost-effectively use that? You have a machine learning engine that can analyze that data set and automatically place the data on that when it gets hot or before it even gets hot, and then move it off it when it needs to. So you can put in just as much as you need and no more than that. >> So let's talk about scale. You know I'm a typical storage ad man. I have my spreadsheet. I know what lines I map to what data and to what application. And I've statically managed this for the past 15 years. And it's served me well. How much better is PowerMax than my storage ad man? I can move two or three data sets a day from cache to Flash. >> Really what this enables from a storage administrator perspective, you can focus on much more strategic initiatives. You don't have to do the day-to-day management. You don't have to worry about what data's sending where. You don't have to worry about how much of the different media types you've put into that array. You just deploy it and it manages itself. You can focus on more tasks. The other part I wanted to mention is the fact that you heard Jeff mention this morning that we have Cloud.IQ in the portfolio. Cloud.IQ we're going to be bringing across the entire storage portfolio, including to PowerMax. So that will also really enable this Cloud-based monitoring predictive analytics to really take that to the next level as well. Simplify that even more. >> You know, I'd like to step back to the journey. More or less. When you start out on a project like this and you're reinventing, right, in a way. Do you set, how do you set the specs? You just ran off a really impressive array of capability. >> Caitlin: Yeah. >> Was that the initial goal line or how was that process, how do you manage that? How do you set those kinds of goals? And how do you get your teams to realize that kind of potential, and some people might look at you a little cross-eyed and say, are you kidding? >> Caitlin: Right, right. >> How are we going to get there? I don't know. (laughs) >> We always shoot for the moon. >> John: Right. >> So we always, this type of product takes well over a year to get into market. So you saw PowerMax Bob on stage there talking about it. So his team is the one that really brings this to market. They developed those requirements two years ago. And they were really looking to make sure that at this time, as soon as the technology curve is ready on NVME, we were there, right? So this just shipping with enterprise class, dual port, NVME drives. Those were not ready until right now. Right, those boxes start shipping next week. They are ready next week, right? So we're at the cutting edge of that. And that takes an extraordinary world-class engineering team. A product management team that understands our customers' requirements that we have today, 'cause we have thousands of customers, but more importantly is looking to what's also coming in the future. And then at some point in the process things do fall off, right? So we have even more coming in future releases as well. >> So let's talk connectivity into the box. How do I connect to this? Is this iSCSI, is this fiber channel? What connectivity-- >> So this is definitely fiber channel. And so our NVME over Fabric will be supported over fiber channel with this array. But we find with the install base with our VMAX install base especially they're very heavily invested in fiber channel today. So right now that's where we're still focused. 'Cause that's going to enable the most people to leverage it as quickly as possible. We're obviously looking at when it makes sense to have an IP-based protocol supported as well. >> So this storage is expensive on the back end. Talk to me about if data efficiency, dedup, are we coming out with. 'Cause a lot of these tier zero solutions don't have dedup out the box. >> Or they have it, but if you use it you can't actually get the performance that you paid for, right? >> There's no point in turning it on. >> Yeah, it's like yeah, we checked the box, but there's really no point. Yeah, so VMAX had compression. VMAX also had compression, and what we've done with PowerMax is we now have inline deduplication and compression. The secret to that is that it's a hardware-assisted. So it's designed to, that card actually will take in, it'll compress the data, and it also passes out the hashes you need for dedup. So that it's inline, it will not have a performance impact on the system. It can also be turned on and off by application and it can give you up to five-to-one data reduction. And you can leverage it with all your data services. Some competitive arrays, if you want to use encryption, sorry you can't actually use dedup. The way we've implemented it, you can actually do both the data reduction and the data services you need, especially encryption. >> So before we say goodbye, I'm just, I'm curious, when you see something like this get launched, right. Huge project. Year-long as you've been saying. And even further back in the making. Just from a personal standpoint, you get pumped? Are you, I would imagine-- >> Caitlin: I got to tell ya-- >> This is the end of a really long road for you. >> We have been worked, for the marketing team, we've been working on this for months. It is the best product I've ever launched. It's the best team I've ever worked with. In the past two days since I landed here to getting that keynote out the door has been so much adrenaline, built up, that we're just so excited to get this out there and share it with customers. >> And what's this done to the bar in your mind? Because you were here, now you're here. But tell me about this. What have you jumped over in your mind? >> We have set a very high bar. I'm not really sure what we're going to do at this point, right? From a product standpoint it is in a class by itself. There is just nothing else like it And from an overall what the team has delivered, from engineering all the way from my team, what we've brought together, what we've gotten from the executive, we've never done anything like it before. So we've set a high bar for ourselves, but we've jumped over some high bars before. So we've got some other plans in the future. >> I'm sorry go ahead. >> Let's not end the conversation too quickly. >> All right, all right, sure, all right. >> There is some-- >> He's got some burning questions. >> Yeah, I have burning, this is a big product. So I still have a lot of questions from a customer perspective. Let's talk data protection. You can't have mission-critical all this consolidation without data protection. >> Caitlin: Absolutely. >> What are the data protection features of the PowerMax? >> I'm so glad you asked. I spent a decade in data protection. It is a passionate topic of mine, right? So you look at data protection and kind of think of it as layered, within the array, so we have very efficient snapshot technology. You can take as many snaps as you need. Very, very efficient to take those. They don't take any extra space on them when you make those copies. >> Then can I use those as tertiary copies to actually perform, to point to workloads such as refreshing, QA, DAB, et cetera? >> Yeah, absolutely. You can mount those snapshots and leverage those for any type of use case. So it's not just for data protection. It's absolutely for active use as well. So it's kind of the on the array, and then the next level out is okay, how do I make a copy of that off the array? So the first one would be well do that to another PowerMax. So as you probably know, the VMAX really pioneered the entire primary storage replication concept. So we have certainly asynch if you have a longer distance, but a synchronous replication, but also Metro, if you have that truly active active-use case so, truly the gold standard in replication technologies. And our customers, it's one of the number one reasons why they say there is no other platform on the planet that they would ever use. And then, you go to the next level of we're really talking about backup. We have built in to PowerMax the capabilities to do a direct backup from PowerMax to a data domain. And that gets you that second protection copy also on a protection storage. So you have those multiple layers of protection. All the copies across all of the different places to ensure that have that operational recovery, disaster recovery in that array, and that the data's accessible at all times no matter what the scenario. >> So let's talk about what else we see. When we look at it, we go into our data center and you see a VMAX array, there's a big box with cabinets of shelves, and you're thinking, wow, this thing is rock solid. Look at the PowerMax. That thing is what about a six-- >> Caitlin: I think it's pretty cute, right? >> Yeah it's pretty cute. I love, that's a pretty array. (laughs) >> Yeah. >> You have one over there. So when you see a VMAX, it just gives you this feeling of comfort. PowerMax, let's talk about resiliency. Do we still have that same VMAX, rock solid, you go into a data center and you see two VMAX, and you're thinking this company's never going to go down. >> Caitlin: Right. >> What about PowerMax? >> Guess what? It is the same system. It's just a lot more compact. We have people consolidating from either VMAXs or competitive arrays, but they're in four racks and they come down into maybe half a rack. But you have all the same operating system, all the same data services, so you have non-disruptive upgrades. If you have to do a code upgrade across the whole array at the same time. You don't have to do rolling reboots of all the controllers. You can just upgrade that all at the same time. We have component-level fault isolation. So if a component fails, the whole controller doesn't go down. All you lose is that one little component on there until you're able to swap that out. So you have all of the resiliency that over six nines availability built into this array. Just like you did with the ones that used to be taking up a bit more floor tile space. The PowerMax is about 40% lower power consumption than you have with VMAX All Flash 'cause it can be supported in such a small footprint. >> So are we going to see PowerMax and converge system configurations? >> Yeah, absolutely. So if you're familiar with the VxBlock 1000, which we launched back in February, it will be available in a VxBlock 1000. And of course the big news on that is you have the flexibility to really choose any array. So it could be an X2 and a PowerMax in a VxBlock 1000. >> So that's curious. What is the, now that we have PowerMax, where's the position of the VMAX 250? >> So the, I'm glad you asked, 'cause it's an important thing to remember. VMAX All Flash is absolutely still around and we expect people to buy it for a good amount of time. The main reason being that the applications, the workloads, the customers, the data centers, that are buying these arrays, they have a very strict qualification policy. They take six, nine months, sometimes a year, to really qualify, even a new operating system. >> Keith: Right. >> Let alone a new platform. So we absolutely will be selling a lot of VMAX All Flash for the foreseeable future. >> Well, Caitlin, it's been a long time in the making, right? >> Absolutely. >> Huge day for you. >> Yes. >> So congratulations on that. >> Thank you, thank you. >> Great to have you here on the Cube. And best of luck, I'm sure, well you don't need it. Like I said, superior product, great start. And I wish you all the best down the road. >> Thank you. Hope to see you guys again soon. >> Caitlin Gordon. Now that'd be four. >> Yes, it'd be four. >> We'd love to have you back. Caitlin Gordon joining us from Dell EMC. PowerMax, the big launch coming just a couple hours ago here at Dell Technologies World 2018. Back with more live coverage here on the Cube after this short time out. (upbeat music)

Published Date : May 1 2018

SUMMARY :

Brought to you by Dell EMC Glad to have you live here on the Cube and the view of Venetian, first guest of the day, Caitlin Gordon, You're a Cube veteran. We'll give you a Cube sticker and find out what's so new about this. So hot off the presses. So let's just go back. So that means you can get all the way What are the practical use IBM i, file, all on the same system. So are you telling me that Absolutely, it is the How do you guys do that? So you get all of that from the Symmetrix days, So how do you cost-effectively use that? and to what application. You don't have to do the You know, I'd like to How are we going to get there? So his team is the one that connectivity into the box. enable the most people don't have dedup out the box. the data services you need, And even further back in the making. This is the end of a It is the best product I've ever launched. What have you jumped over in your mind? from the executive, we've never done Let's not end the So I still have a lot of questions So you look at data protection So it's kind of the on the array, and you see a VMAX I love, that's a pretty array. So when you see a VMAX, it just gives you all the same data services, so you have And of course the big news on that is So that's curious. So the, I'm glad you So we absolutely will be selling a lot Great to have you here on the Cube. Hope to see you guys again soon. Caitlin Gordon. We'd love to have you back.

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Caitlin Halferty & John Backhouse | IBM CDO Strategy Summit 2017


 

>> Live from Boston, Massachusetts, it's the Cube, covering IBM Chief Data Officer Summit. Brought to you by IBM. >> Welcome back to the Cube's live coverage of the IBM CDO Summit here in Boston Massachusetts. I'm your host, Rebecca Knight, along with my co-host Dave Vellante. We are joined by Caitlin Halferty. She is the Chief of Staff IBM Data Office, and also John Backhouse, the chief information officer and senior VP at CareEnroll. Thank you both so much for coming on the Cube. >> Great to be here. >> Thank you, good to see you. >> So before the cameras were rolling, John, we were talking about how you have this very unique vantage point and perspective on the role of the CIO and CDO. Can you tell our viewers a bit about your background? >> Sure. I started off in the military. I was in the army for 12 years as a military intelligence officer. I then moved to the NHS, which is a national health service in England and where I wrote the Clinical Care Pathways for myocardial infraction and diabetes pre-hospital. I then moved to the USA and became Chief Data Officer for Envision Healthcare, one of the largest hybrid providers of insurance and clinical care. And then I became a CIO for a multi-state Medicare program. >> So you've been around, so to speak (laughter) But the last two roles, CIO and CDO, so how would you describe them? I mean obviously two different places, but is it adversarial? Is it cooperative? What is the relationship like? >> I think its, the last couple of years, CDO role has matured, and it's become a direct competition between a CIO and a CDO. As my experiences I've been fighting for the same budget. I've been fighting for the same bind, I've been fighting for the same executives to sponsor my programs and projects. I think now as the maturity of the CDO has stepped out, especially in health, the CDO has a lot more power between the conduit between the business and IT. If the CDO sits in IT he's doomed for failure because it's a direct competition of a CIO role. But I also think the CIO role has changed in the way that the innovation has stepped up. The CIO role used to be "Your career is over, CIO." (laughter) Now it's the innovational aspect of infrastructure, cloud cognitive analysts, cognitive solutions and analytics so that the way the data is monetized and sold and reused, in the way that the business makes decisions. So I see a big difference. >> How much of that, sort-of authority, if I can use that term, of the chief data officer inside of a regulated company versus you're in the office of the chief data officer in an unregulated company, compare and contrast. >> Well, the chief data officer's got all the new regulatory compliancies coming down the GDC, the security, safe harbor, and as the technology moves in to cloud it becomes even harder. As you get PCI, HIPPA and etc. So, everything you do is scrutinized to a point where you have to justify, why, what, and when. And then you have to have the custodian of who is responsible. So then no longer can you say, "I got the data for this reason." You have to justify why you have that information about anything. And I think that regulatory component is getting stronger and stronger. >> And you know, we've often talked about the rise of the CDO role and how it's changed over the last few years. Primarily it started in response to regulatory and compliance concerns within financial services industries as we know banking and insurance, healthcare. And we're seeing more and more retail consumer products. Other industries saying look, "We don't really have enterprise-wide management of data across the organization" Investing in that leadership role to drive that transformation. So I'm seeing that spread beyond the regulated industries. >> Well Caitlin, in the keynote you really kicked off this conference by reminding us of why we're all here and that is to bring chief data officers together, to share those practices, to share what they've learned in their own organizations. Hearing John talk about the fight for resources, the fight to justify its existence. What do you think, how would you tease out the best practices around that? >> The way we've approached it, you know, I've mentioned this cognitive enterprise blueprint that we highlighted and released this morning. And this has been an 18-month project for us. And we've done it in close partnership with folks like John, giving a lot of great insight and feedback. And essentially the way we see it is there's these four pillars. So it's the technology piece and getting the technology right. It's the business process, both CDO-owned processes as well as enterprise-wide. And then the new piece we've added is around data, understanding the data part of it is so important. And so we've delivered the blueprint and then taking it to the next level to figure out what are the top used cases. How do we prioritize to your question, where prioritized-used cases. >> So, come back to the overlap between the CIO and CDO. I remember when I first met Ender Paul, we had him on the Cube and he's seared into my brain he's five points that the CDO has to do, the imperative. And three were sequential two were in parallel. One was figure out how to monetize, how you're data can contribute to the monetization of your company. Second was data trust and sources, third was access to that data and those were sequential >> Right. Processes and then he said "Line of business and skill sets were the other two that you kind of do in parallel, >> Absolutely. forge relationships with a lot of businesses and re-skill. Okay, so with that as the Ender Paul framework for what a CDO's job was... I loved it, I wrote a blog about it, (laughter) I clipped it. >> That's very good >> But the CIO hits a lot of those areas, certainly data access, of trust and security, the skill sets. Thinking about that framework, first of all do you buy it? I presume it's pretty valid, but where do you see the overlap and the collaboration? >> So I think that the framework works out and what IBM has produced is very tangible, it means you can take the pieces and you can action them. So, before you have to reflect on one: building the team, getting the right numbers in the team, getting the right skill sets in the team. That was always a challenge because you're building a team but you're not quite sure what the skill set is until you've started the plan and the math and you've started down that pathway, so with that blueprint it helps you to understand what you're trying to recruit for, is one aspect, and then two is the monetization or getting the data or making it fit for purpose, that's a real challenge and there's no magic wand for this, you know it depends on what the business problem is, the business process and understanding it. I'm very unique cause not only have I understand the data and the technology I actually give it the clinical care as well, so I've got the translations in the clinical speak into data, into business value. So, I can take information and translate it into value very quickly, and create a solution but it comes back to that you must have a designer and the designer must be an innovator, and an innovator must stay within the curve and the object is the business problems. That enables, that blueprint to be taken and run with, and hit the ground very quickly in an actionable manner. for me information in health is about insights, everybody's already doing the medical record, the electronic record, the debtor exchange. It's a little immature in health and a proper interoperability but it there and it's coming it's the actually use of and the visualization of population analysis. It used to be population health, as in we knew what we were doing after the fact, now we need to know what we are doing before the fact so we can target the outreach and to move the right people in the right place at the right time for the right care, is a bigger insight and that's what cognitive and the blueprint enables. >> So Caitlin, it feels like these two worlds are really coming together, you know, in the early days it was just really regulated businesses. >> Correct. >> Now with GDPR now everybody is a regulated business, >> Right. >> And given that EMR, and Meaningful Use and things like that are kind of rote now. >> Yeah. >> Regulated industries are really driving for that value holy grail. >> Yeah. >> So, I wonder if you could share your perspectives on those two worlds coming together. >> Yeah I do see them coming together, as well as the leadership. >> Right, yeah. >> Across the C-sweep, it's interesting we host these two in-person summits, one in the spring in San Francisco one here in Boston in the fall and we get about 120 or so CDOs that join us. We pull for, what are top topics and we always get ones around data monetization, talent, the one again that came up this year was changing nature of to the point on building those deep analytics partnerships within the organization, changing the relationships between CDOs and C-sweep peers. We do a virtual call with about 25 CDO's and we had John as our guest speaker, recently >> Yeah. And it was our best attended call, (laughter) it was solely focused on how CDOs and CIOs can partner together to drive business critical cross-enterprise initiatives, like GDPR in ways that they haven't in the past. >> Yeah. >> It was a reinforcement to me that building those relationships, that analytic partnership piece, is still top of mind to our CDO community. >> Yeah, and I think that the call itself was like sun because I invited the chief of their office and now he's the innovator and the chief information officer used to be the guy who kept the lights on, that's no longer the fact. The chief information officer is the innovator of the infrastructure, the design, the monetization, the value, the business and the chief in their office now has become the chief designer of information to make it fit for purpose, for presentation, for analytics, for the cognitive use of the business. Those roles now, when you bring them together, is extremely powerful and as the maturity comes of these chief there officer roles with the modern approach to chief information then you have a powerful, powerful dynamic. >> Well let's talk about the chief innovator, it reminds me of 1999. (laughter) >> If you want to be a CEO you've got to go the CEO's office and then Y2K on the whole thing blew up. (laughter) >> What's different now though, is the data >> Yeah. - [Caitlin] Absolutely. >> There certainly was a lot of data back then but not nearly like it is today and the technology underneath it, the whole cloud piece, but I wonder if you could talk about the innovation piece of that a little bit more >> Sure. and it's relationship to the data. >> So, I mean we've always been let's all go to the data warehouse, let's have a data lake, let's get the data scientist to fix the data lake. (laughter) >> Yeah. >> And then he's like " Whoa, well what did he do?" "Does it do anything? Show me." And you know now that physical massive environment of big service and big cages and big rooms with big overhead expenses is no longer necessary. I've just put 91 servers for an entire state's data and population in a cloud environment, multiple security levels with multiple methods of new innovational cloud management. And I've been able to standup 91 server in six and a half minutes. I couldn't even procure that... (laughter) - Right. >> Before >> I'd be months, and months >> Yeah, to put physical architecture together like that but now I can do it in six and a half minutes, I can create DR rapidly, I can do flip over active-active and I can really make the sure of it. Not only can I use the infrastructure I can enable people to get information at the point where it's needed now, far easier than I ever did before. >> So talking about how the technology has moved and evolved and changed so rapidly for the better but yet there is still a massive talent shortage of the people who, as you said - [John] Yeah >> Who can speak the language and take the data and immediately translate it into business value. What are you doing now about this talent shortage? What's your take on it and what are we doing to fix it? >> Yeah >> I would say, in one of the morning keynotes, Jim Cavanaugh our SVP for transportation operations got that question around how do you educate internally what it means to be a cognitive enterprise when there are so many questions about what does that really mean? And then how do you access skill against those new capabilities? He spoke about some of the internal hackathons that we did and ran sort of an internal shark tank-like to see how those top projects rise, align resources against it and build those skills and we've invested quite a lot internally as I know many of our clients have around what we call cognitive academy to ensure that we've one: figured out and defined what it means in this new...what type of new skills and then make sure that we're able to retrain and then keep and retain some of our new talents. So I think we're trying that multi-prong approach to retrain and retain as well. >> You guys use the term cognitive business we use the term digital business cause we can't use IBM's terms (laughter) But to us there the same thing >> Why not? >> Cause it's all about... (laughter) >> Cause were independent - [Caitlin] Dave's upset here >> But to us it's all about how you leverage data >> Yeah. >> And how you use data to >> Yeah. >> Maintain and to get and maintain costumers. So since we're playing CX bingo >> Yeah right. >> Chief digital officer, Bob Lord >> Right >> Bob Lord and Ender Paul Endario are two totally different people and there roles are quite different, but if it's all about the data and you buy that premise what is the chief digital officer do? they are largely driving revenue >> Absolutely >> That's understandable but it's part of your job too >> Right >> Or former job as a CDO and now as an innovation officer. Where do those roles fit? >> I think there's a clear demarcation line and especially when you get into EIM solutions as in Enterprise Information Management. And you start breaking those down and you've got to break them down into master data management and you start putting the domains together, the multi-master domains, and one of them is media, and media needs someone to own it, be the custodian, manage it, and present it to the business for consumption, the other's are pure data driven. >> Yeah. >> Master patient, master member, master costumer, master product, they all need data driven analytics to present information to the business. You can't just show them a sequel schemer and say "There you go." >> Yeah. (laughter) >> It doesn't work so there is different demarcations of specialist skills and the presentation and it got to be that hybrid between the business and IT. The business and the data, the business and the consumer and that is, I think the maturity of way this X-sweet is going these days >> Yeah. >> One thing we've seen internally to that point, I agree there's a clear demarcation there, is when we do partner with the digital office it can be to aid say digital sellers so we have a joint project going where we are responsible for the data piece of it >> Yeah. >> And then we are enabling our digital sellers, we're calling it cognitive sales advisor to pull dispersed pieces of costumer data that are currently housed in cylos across the organization, pull that into a digital, user friendly app, that can really enable those sellers, so I think there's some nice opportunities just as there are CDOs and CIOs to partner, for a data officer and a digital officer as well. >> One of our earlier guests was talking about some of the things that he's hearing in the break out sessions and he said "You know they could have been talking about the same stuff ten years ago, these intractable organizations that aren't quite there yet." What do you think we will be talking about next CDO summit? Do you think there will come a point where were not talking about is data important? Or does data have a role in the organization? When do you think that will happen? (laughter) >> Every time I say we're done with governance right? >> Yeah >> We're done and then governance >> Comes right back - Top topic (laughter) >> If you get the answer to that can I have the locker notes? (laughter) >> Sure >> Exactly, Exactly >> I think in the next ten years we're not going to ask anymore about what did we do, we're going to be told what we did. As in we're going to be looking forward, thing are going to be coming out and saying this is the projected for the next minute, second, hour, month, year and that's the big change. We are all looking back, what did we do? How did we do? What was the goals we tried to achieve? I don't think that's going to be what we ask next month, next year, next week. It's going to be you're going to tell me what I did and you're going to tell me what I'm doing. And that's going to change, and also the healthcare market, the way that health is prescriptive, they're not prescribed anymore. They way that we diagnose things against the prognosis, I think that the way we manage that information is going to change dramatically. I would say too, I've been working quite a bit with a client in Vegas, a casino, and their current issue or problem is they have all this data on what their guest do from the moment they check in, they get their hotel key, they know where spend, where they go to dinner, what type of trip they're on, is it business is is pleasure. Are the kids in town, different behaviors, spending patterns accordingly. >> Yeah. >> And the main concern they relate to us is I can't do anything about it until my guest has exited the property and then I'm sending them outreach emails trying to get them back, or trying to offer a coupon. >> Yeah. >> You know post - [John] Yeah, yeah. >> And they're gone. >> And what if I could do some real time analysis and deliver something of value to my guest while they are on site and we are starting to see some of that with Disney and some other companies. - [John] Yeah. >> But I think we will see the ability to take all this data that we already have and deliver it. >> In real time. -[John] Yeah. >> Influence behavior >> Right >> And spending patterns in real time that's what I'm excited about. >> Yeah and these machines will actually start making decisions, certain decisions for the brand. >> Yeah >> Right >> At the point where it can affect an outcome. >> Right, right, Which I think is hard >> It's starting >> Yeah >> No question, you certainly see it in fraud detection today, you mentioned Disney. >> The magic bands >> Right >> And the ability to track >> Yeah >> Where you are and that type of thing, yeah >> Great >> We're starting cyber security cause cyber security, an aspect of user log, server log, network, are looking for behavioral patterns and those behavioral patterns are telling us where the risks and the vulnerabilities are coming from. >> Thing that humans >> Yep >> Would not see that >> People don't see the patterns, yep. >> You're absolutely right, >> right >> They just wouldn't see the patterns of the risk. >> Excellent, well John, Caitlin, thanks so much for coming on the Cube it's always a pleasure to talk to you. >> Thank you - Great, thank you. >> I'm Rebecca Knight for Dave Vellante we'll have more just after this.

Published Date : Oct 25 2017

SUMMARY :

Massachusetts, it's the Cube, and also John Backhouse, the So before the cameras were rolling, one of the largest hybrid providers and analytics so that the of the chief data officer "I got the data for this data across the organization" the fight to justify its existence. and getting the technology right. that the CDO has to do, Processes and then he said of businesses and re-skill. But the CIO hits a lot target the outreach and to move in the early days it was just And given that EMR, and that value holy grail. So, I wonder if you could the leadership. one here in Boston in the And it was our best attended call, to me that building those the modern approach to Well let's talk about the got to go the CEO's and it's relationship to the data. data lake, let's get the And I've been able to standup I can really make the sure of it. and take the data and He spoke about some of the (laughter) Maintain and to get Where do those roles fit? for consumption, the other's present information to the business. (laughter) the business and the consumer across the organization, in the organization? and also the healthcare market, And the main concern to see some of that But I think we will see the ability to -[John] Yeah. And spending patterns in real time decisions for the brand. At the point where it No question, you certainly risks and the vulnerabilities the patterns of the risk. thanks so much for coming on the Cube I'm Rebecca Knight for Dave Vellante

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Caitlin Halferty Lepech, IBM - IBM CDO Strategy Summit - #IBMCDO - #theCUBE


 

(hip-hop music) (electronic music) >> Announcer: Live from Fisherman's Wharf in San Francisco, it's theCUBE, covering IBM Chief Data Officer Strategy Summit Spring 2017. Brought to you by IBM. (crowd) >> Hey welcome back everybody, Jeff Fricke here with Peter Burris. We're wrapping up a very full day here at the IBM Chief Data Officer Strategy Summit Spring 2017, Fisherman's Wharf, San Francisco. An all-day affair, really an intimate affair, 170 people, but Chief Data Officers with their peers, sharing information, getting good information from IBM. And it's an interesting event. They're doing a lot of them around the country, and eventually around the world. And we're excited to have kind of the power behind the whole thing. (laughing) Caitlin Lepech, she's the one who's driving the train. Don't believe the guys in the front. She's the one behind the curtain that's pulling all the levers. So we wanted to wrap the day. It's been a really good day, some fantastic conversations, great practitioners. >> Right. >> Want to get your impression of the day? Right, it's been great. The thing I love about this event the most is this is all client-led discussion, client-led conversation. And we're quite fortunate in that we get a lot leading CDOs to come join us. I've seen quite a number this time. We tried something new. We expanded to this 170 attendees, by far the largest group that we've ever had, so we ran these four breakout session tracks. And I am hearing some good feedback about some of the discussions. So I think it's been a good and full day (laughing). >> Yes, it has been. Any surprises? Anything that kind of jumped out to you that you didn't expect? >> Yeah, a couple of things. So we structure these breakout sessions... Pointed feedback from last session was, Hey, we want the opportunity to network with peers, share use cases, learn from each other, so I've got my notes here, and that we did a function builder. So these are all our CDOs that are starting to build the CDO office. They're new in the journey, right. We've got our data integrators, so they're really our data management, data wranglers, the business optimizers, thinking about how do I make sure I've got the impact throughout the business, and then market innovators. And one of the surprises is how many people are doing really innovative things, and they don't realize it. They tell me-- >> Jeff: Oh, really. >> Ahhh, I'm just in the early stages of setting up the office. I don't have the good use cases to share. And they absolutely do! They absolutely do! So that's always the surprise, is how many are actually quite more innovative than I think they give themselves credit. >> Well, that was a pretty consistent theme that came out today, is that you can't do all the foundational work, and then wait to get that finished before you start actually innovating delivering value. >> If you want to be successful. >> (laughing) Right, and keep your job (laughing) If you're one of the 41%. So you have to be parallel tracking, that first process'll never finish, but you've got to find some short-term wins that you can execute on right away. >> And that was one of our major objectives and sort of convening this event, and continuing to invest in the CDO community, is how do I improve the failure rate? We all agree, growth in the role, okay. But over half are going to fail. >> Right. >> And we start to see some of these folks now that they're four, six years in having some challenges. And so, what we're trying to do is reduce that failure rate. >> Jeff: Yeah, hopefully they-- >> But still four to six years in is still not a bad start. >> Caitlin: Yeah, yeah. >> There's most functions that fail quick... That fail tend to fail pretty quickly. >> Yeah. >> So one of the things that I was struck by, and I want to get your feedback on this, is that 170 people, sounds like a lot. >> Caitlin: Yeah, yeah. >> But it's not so much if there is a unity of purpose. >> Caitlin: Correct, correct! >> If there's pretty clear understanding of what it is they do and how they do it, and I think the CDO's role is still evolving very rapidly. So everybody's coming at this from a different perspective. And you mentioned the four tracks. But they seem to be honing in on the same end-state. >> Absolutely. >> So talk about what you think that end-state is. Where is the CDO in five years? >> Absolutely, so I did some live polling, as we kicked off the morning, and asked a couple of questions along those lines. Where do folks report? I think we mentioned this-- >> Right. >> When we kicked off. >> Right. >> A third to the CEO, a third to CIO, and a third to a CXO-type role, functional role. And reflected in the room was about that split. I saw about a third, third, third. And, yet, regardless of where in the organization, it's how do we get data governance, right? How do we get data management, right? And then there's this, I think, reflection around, okay, machine learning, deep learning, some of these new opportunities, new technologies. What sort of skills do we need to deliver? I had an interesting conversation with a CDO that said, We make a call across the board. We're not investing to build these technical skills in-house because we know in two years the guys I had doing Python and all that stuff, it's on to the next thing. And now I've got to get machine learning, deep learning, two years I need to move to the next. So it's more identifying technologies in partnership bringing those and bringing us through, and driving the business results. >> And we heard also very frequently the role the politics played. >> Caitlin: Oh, absolutely. >> And, in fact, Fow-wad Boot from-- >> Kaiser. >> Kaiser Permanente, yeah. >> Specifically talked about this... He's looking in the stewards that he's hiring in his function. He's looking for people that have learned the fine art of influencing others. >> And I think it's a stretch for a lot of these folks. Another poll we did is, who comes from an engineering, technical background. A lot of hands in the room. And we're seeing more and more come from line of business, and more and more emphasize the relationship component of it, relationship skills, which is I think is very interesting. We also see a high number of women in CDO roles, as compared to other C-suite roles. And I like to think, perhaps, it has to do-- >> Jeff: Right, right. >> With the relationship component of it as well because it is... >> Jeff: Yeah, well-- >> Peter: That's interesting. I'm not going to touch it, but it's interesting (laughing). >> Well, no, we were-- >> (laughing) I threw it out there. >> We were at the Stanford-- >> No, no, we-- >> Women in Data Science event, which is a phenomenal event. We've covered it for a couple years, and Jayna George from Western Digital, phenomenal, super smart lady, so it is an opportunity, and I don't think it's got so much of the legacy stuff that maybe some of the other things had that people can jump in. Diane Green kicked it off-- >> Yeah. >> So I think there is a lot of examples women doing their own thing in data science. >> Yeah, I agree, and I'll give you another context. In another CUBE, another event, I actually raised that issue, relationships, because men walk into a room, they get very competitive very quickly, who's the smartest guy in the room. And on what days is blah, blah, blah. And we're talking about the need to forge relationships that facilitate influence. >> Absolutely. >> And sharing of insight and sharing of knowledge. And it was a woman guest, and she... And I said, Do you see that women are better at this than others? And she looked at me, she said, Well, that's sexist. (laughing). And it was! I guess it kind of was. >> Right, right. >> But do you... You're saying that it's a place where, perhaps, women can actually take a step into senior roles in a technology-oriented space. >> Yeah. >> And have enormous success because of some of the things that they bring to the table. >> Yeah, one quote stuck with me is, when someone comes in with great experience, really smart, Are they here to hurt me or help me? And the trust component of it and building the trust, And I think there is one event we do here, the second day of all of our CDO summits, so women in breakfast, the data divas' breakfast. And we explore some opportunities for women leaders, and it was well-attended by men and women. And I think there really is when you're establishing a data strategy for your entire organization, and you need lines of business to contribute money and funding and resources, and sign off, there is I feel sometimes like we're on the Hill. I'm back in D.C., working on Capitol Hill (laughing), and we're shopping around to deliver, so absolutely. Another tying back to what you mentioned about something that was surprising today, we started building out this trust as a service idea. And a couple people on panels mentioned thinking about the value of trust and how you instill trust. I'm hearing more and more about that, so that was interesting. >> We actually brought that up. >> Caitlin: Oh, did you! >> Yeah, we actually brought it up here in theCUBE. And it was specifically and I made an observation that when you start thinking about Watson and you start thinking about potentially-competitive offerings at some point in time they're going to offer alternative opinions-- >> Absolutely. >> And find ways to learn to offer their opinions better than their's just for competitive purposes. >> Absolutely. >> And so, this notion of trust becomes essential to the brand. >> Absolutely. >> My system is working in your best interest. >> Absolutely. >> Not my best interest. And that's not something that people have spent a lot of time thinking about. >> Exactly, and what it means when we say, when we work with clients and say, It's your data, your insight. So we certainly tap that information-- >> Sure. >> And that data to train Watson, but it's not... We don't to keep that, right. It's back to you, but how do you design that engagement model to fulfill the privacy concerns, the ethical use of data, establish that trust. >> Right. >> I think it's something we're just starting to really dig into. >> But also if you think about something like... I don't know if you ever heard of this, but this notion of principal agent theory. >> Umm-hmm. >> Where the principal being the owner, in typical-- >> Right. >> Economic terms. The agent being the manager that's working on behalf of the owner. >> Right. >> And how do their agendas align or misalign. >> Right. >> The same thing is just here. We're not talking about systems that have... Are able to undertake very, very complex problems. >> Right. >> Sometimes will do so, and people will sit back and say, I'm not sure how it actually worked. >> Yeah. >> So they have to be a good agent for the business. >> Absolutely, absolutely, definitely. >> And this notion of trust is essential to that. >> Absolutely, and it's both... It originated internally, right, trying to trust the answers you're getting-- >> Sure! >> On a client. Who's our largest... Where's our largest client opportunity, you get multiple answers, so it's kind of trusting the voracity of the data, but now it's also a competitive differentiator. As a brand you can offer that to your client. >> Right, the other big thing that came up is you guys doing it internally, and trying to drive your own internal transformation at IBM, which is interesting in of itself, but more interesting is the fact that (laughing) you actually want to publish what you're doing and how you did it-- >> Yeah. >> As a road map. I think you guys are calling it the Blueprint-- >> Yes. >> For your customers. And talk about publishing that actually in October, so I wonder if you can share a little bit more color around what exactly is this Blueprint-- >> Sure. >> How's it's going to be exposed? >> What should people look forward to? >> Sure, I'm very fortunate in that Inderpal Bhandari when he came on board as IBM's First Chief Data Officer, said, I want to be completely transparent with clients on what we're doing. And it started with the data strategy, here's how we arrived at the data strategy, here's how we're setting up our organization internally, here's how we're prioritizing selecting use cases, so client prefixes is important to us, here's why. Down at every level we've been very transparent about what we're doing internally. Here's the skill sets I'm bringing on board and why. One thing we've talked a lot about is the Business Unit Data Officer, so having someone that sits in the business unit responsible for requirements from the unit, but also ensuring that there's some level of consistency at the enterprise level. >> Right. >> So, we've had some Business Unit Data Officers that we've plucked (laughing) from other organizations that have come and joined IBM last year, which is great. And so, what we wanted to do is follow that up with an actual Blueprint, so I own the Blueprint for Inderpal, and what we want to do is deliver it along three components, so one, the technology component, what technology can you leverage. Two, the business processes both the CDO processes and the enterprise, like HR, finance, supply chain, procurement, et cetera. And then finally the organizational considerations, so what sort of strategy, culture, what talent do you need to recruit, how do you retain your existing workforce to meet some of these new technology needs. And then all the sort of relationship piece we were talking about earlier, the culture changes required. >> Right. >> How do you go out and solicit that buy-in. And so, our intent is to come back around in October and deliver that Blueprint in a way that can be implemented within organization. And, oh, one thing we were saying is the homework assignment from this event (laughing), we're going to send out the template. >> Right. And our version of it, and be very transparent, here's how we're doing it internally. And inviting clients to come back to say-- >> Right. >> You need to dig in deeper here, this part's relevant to me, along the information governance, the master data management, et cetera. And then hopefully come back in October and deliver something that's really of value and usable for our clients across the industry. >> So for folks who didn't make it today, too bad for them. >> Exactly, we missed them, (laughing) but... >> So what's the next summit? Where's it's going to be, how do people get involved? Give us a kind of a plug for the other people that wished they were here, but weren't able to make it today. >> Sure, so we will come back around in the fall, September, October timeframe, in Boston, and do our east coast version of this summit. So I hope to see you guys there. >> Jeff: Sure, we'll be there. >> It should be a lot of fun. And at that point we'll deliver the Blueprint, and I think that will be a fantastic event. We committed to 170 data executives here, which fortunately we were able to get to that point, and are targeting a little over 200 for the fall, so looking to, again, expand, continue to expand and invite folks to join us. >> Be careful, you're going to be interconnected before you know. >> (laughing) No, no, no, I want it small! >> (laughing) Okay. >> And then also as I mentioned earlier, we're starting to see more industry-specific financial services, government. We have a government CDO summit coming up, June six, seven, in Washington D.C. So I think that'll be another great event. And then we're starting to see outside of the U.S., outside of North America, more of the GO summits as well, so... >> Very exciting times. Well, thanks for inviting us along. >> Sure, it's been a great day! It's been a lot of fun. Thank you so much! >> (laughing) Alright, thank you, Caitlin. I'm Jeff Fricke with Peter Burris. You're watching theCUBE. We've been here all day at the IBM Chief Data Officer Strategy Summit, that's right the Spring version, 2017, in Fisherman's Wharf, San Francisco. Thanks for watching. We'll see you next time. (electronic music) (upbeat music)

Published Date : Mar 30 2017

SUMMARY :

Brought to you by IBM. and eventually around the world. of the day? Anything that kind of jumped out to you And one of the surprises is how many people are I don't have the good use cases to share. and then wait to get that finished before you start that you can execute on right away. And that was one of our major objectives And we start to But still four to six years in That fail tend to fail pretty quickly. So one of the things that And you mentioned the four tracks. Where is the CDO in five years? and asked a couple of questions along those lines. And reflected in the room was about that split. And we heard also very frequently He's looking for people that have learned the fine art and more and more emphasize the relationship With the relationship component of it as well I'm not going to touch it, that maybe some of the other things had So I think there is a lot and I'll give you another context. And I said, Do you see that women are better You're saying that it's a place where, perhaps, because of some of the things that they bring to the table. And the trust component of it and building the trust, and I made an observation that And find ways to learn And so, this notion of in your best interest. And that's not something that people have spent a lot Exactly, and what it means when we say, And that data I think it's something I don't know if you ever heard of this, of the owner. Are able to undertake very, very complex problems. and people will sit back and say, a good agent for the business. Absolutely, and it's both... As a brand you can offer that to your client. I think you guys are calling it the Blueprint-- And talk about publishing that actually in October, so having someone that sits in the business unit and the enterprise, like HR, finance, supply chain, And so, our intent is to come back around in October And our version of it, along the information governance, So for folks who didn't make it today, Where's it's going to be, So I hope to see you guys there. and are targeting a little over 200 for the fall, before you know. more of the GO summits as well, so... Well, thanks for inviting us along. Thank you so much! We've been here all day at the

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Cortnie Abercrombie & Caitlin Halferty Lepech, IBM - IBM CDO Strategy Summit - #IBMCDO - #theCUBE


 

>> Announcer: Live from Fisherman's Wharf in San Francisco, it's theCUBE, covering IBM Chief Data Officer Strategy Summit Spring 2017. Brought to you by IBM. >> Hey, welcome back, everybody. Jeff Frick here with theCUBE. We're at Fisherman's Wharf in San Francisco at the IBM Chief Data Officer Strategy Summit Spring 2017. It's a mouthful, it's 170 people here, all high-level CXOs learning about data, and it's part of an ongoing series that IBM is doing around chief data officers and data, part of a big initiative with Cognitive and Watson, I'm sure you've heard all about it, Watson TV if nothing else, if not going to the shows, and we're really excited to have the drivers behind this activity with us today, also Peter Burris from Wikibon, chief strategy officer, but we've got Caitlin Lepech who's really driving this whole show. She is the Communications and Client Engagement Executive, IBM Global Chief Data Office. That's a mouthful, she's got a really big card. And Cortnie Abercrombie, who I'm thrilled to see you, seen her many, many times, I'm sure, at the MIT CDOIQ, so she's been playing in this space for a long time. She is a Cognitive and Analytics Offerings leader, IBM Global Business. So first off, welcome. >> Thank you, great to be here. >> Thanks, always a pleasure on theCUBE. It's so comfortable, I forget you guys aren't just buddies hanging out. >> Before we jump into it, let's talk about kind of what is this series? Because it's not World of Watson, it's not InterConnect, it's a much smaller, more intimate event, but you're having a series of them, and in the keynote is a lot of talk about what's coming next and what's coming in October, so I don't know. >> Let me let you start, because this was originally Cortnie's program. >> This was a long time ago. >> 2014. >> Yeah, 2014, the role was just starting, and I was tasked with can we identify and start to build relationships with this new line of business role that's cropping up everywhere. And at that time there were only 50 chief data officers worldwide. And so I-- >> Jeff: 50? In 2014. >> 50, and I can tell you that earnestly because I knew every single of them. >> More than that here today. >> I made it a point of my career over the last three years to get to know every single chief data officer as they took their jobs. I would literally, well, hopefully I'm not a chief data officer stalker, but I basically was calling them once I'd see them on LinkedIn, or if I saw a press announcement, I would call them up and say, "You've got a tough job. "Let me help connect you with each other "and share best practices." And before we knew, it became a whole summit. It became, there were so many always asking to be connected to each other, and how do we share best practices, and what do you guys know as IBM because you're always working with different clients on this stuff? >> And Cortnie and I first started working in 2014, we wrote IBM's first paper on chief data officers, and at the time, there was a lot of skepticism within our organization, why spend the time with data officers? There's other C-suite roles you may want to focus on instead. But we were saying just the rise of data, external data, unstructured data, lot of opportunity to rise in the role, and so, I think we're seeing it reflected in the numbers. Again, first summit three years ago, 30 participants. We have 170 data executives, clients joining us today and tomorrow. >> And six papers later, and we're goin' strong still. >> And six papers later. >> Exactly, exactly. >> Before we jump into the details, some of the really top-level stuff that, again, you talked about with John and David, MIT CDOIQ, in terms of reporting structure. Where do CDOs report? What exactly are they responsible for? You covered some of that earlier in the keynote, I wonder if you can review some of those findings. >> Yeah, that was amazing >> Sure, I can share that, and then, have Cortnie add. So, we find about a third report directly to the CEO, a third report through the CIO's office, sort of the traditional relationship with CIOs, and then, a third, and what we see growing quite a bit, are CXOs, so functional or business line function. Originally, traditionally it was really a spin-off of CIO, a lot of technical folks coming up, and we're seeing more and more the shift to business expertise, and the focus on making sure we're demonstrating the business impact these data programs are driving for our organization. >> Yeah, it kind of started more as a data governance type of role, and so, it was born out of IT to some degree because, but IT was having problems with getting the line of business leaders to come to the table, and we knew that there had to be a shift over to the business leaders to get them to come and share their domain expertise because as every chief data officer will tell you, you can't have lineage or know anything about all of this great data unless you have the experts who have been sitting there creating all of that data through their processes. And so, that's kind of how we came to have this line of business type of function. >> And Inderpal really talked about, in terms of the strategy, if you don't start from the business strategy-- >> Inderpal? >> Yeah, on the keynote. >> Peter: Yeah, yeah, yeah, yeah. >> You are really in big risk of the boiling the ocean problem. I mean, you can't just come at it from the data first. You really have to come at it from the business problem first. >> It was interesting, so Inderpal was one of our clients as a CEO three times prior to rejoining IBM a year ago, and so, Cortnie and I have known him-- >> Express Scripts, Cambia. >> Exactly, we've interviewed him, featured him in our research prior, too, so when he joined IBM in December a year ago, his first task was data strategy. And where we see a lot of our clients struggle is they make data strategy an 18-month, 24-month process, getting the strategy mapped out and implemented. And we say, "You don't have the time for it." You don't have 18 months to come to data, to come to a data strategy and get by and get it implemented. >> Nail something right away. >> Exactly. >> Get it in the door, start showing some results right away. You cannot wait, or your line of business people will just, you know. >> What is a data strategy? >> Sure, so I can say what we've done internally, and then, I know you've worked with a lot of clients on what they're building. For us internally, it started with the value proposition of the data office, and so, we got very clear on what that was, and it was the ability to take internal, external data, structured, unstructured, and pull that together. If I can summarize it, it's drive to cognitive business, and it's infusing cognition across all of our business processes internally. And then, we identified all of these use cases that'll help accelerate, and the catalyst that will get us there faster. And so, Client 360, product catalog, et cetera. We took data strategy, got buy-in at the highest levels at our organization, senior vice president level, and then, once we had that support and mandate from the top, went to the implementation piece. It was moving very quickly to specify, for us, it's about transforming to cognitive business. That then guides what's critical data and critical use cases for us. >> Before you answer, before you get into it, so is a data strategy a means to cognitive, or is it an end in itself? >> I would say it, to be most effective, it's a succinct, one-page description of how you're going to get to that end. And so, we always say-- >> Peter: Of cognitive? >> Exactly, for us, it's cognitive. So, we always ask very simple question, how is your company going to make money? Not today, what's its monetization strategy for the future? For us, it's coming to cognitive business. I have a lot of clients that say, "We're product-centric. "We want to become customer, client-centric. "That's our key piece there." So, it's that key at the highest level for us becoming a cognitive business. >> Well, and data strategies are as big or as small as you want them to be, quite frankly. They're better when they have a larger vision, but let's just face it, some companies have a crisis going on, and they need to know, what's my data strategy to get myself through this crisis and into the next step so that I don't become the person whose cheese moved overnight. Am I giving myself away? Do you all know the cheese, you know, Who Moved My Cheese? >> Every time the new iOS comes up, my wife's like-- >> I don't know if the younger people don't know that term, I don't think. >> Ah, but who cares about them? >> Who cares about the millenials? I do, I love the millenials. But yes, cheese, you don't want your cheese to move overnight. >> But the reason I ask the question, and the reason why I think it's important is because strategy is many things to many people, but anybody who has a view on strategy ultimately concludes that the strategic process is what's important. It's the process of creating consensus amongst planners, executives, financial people about what we're going to do. And so, the concept of a data strategy has to be, I presume, as crucial to getting the organization to build a consensus about the role the data's going to play in business. >> Absolutely. >> And that is the hardest. That is the hardest job. Everybody thinks of a data officer as being a technical, highly technical person, when in fact, the best thing you can be as a chief data officer is political, very, very adept at politics and understanding what drives the business forward and how to bring results that the CEO will get behind and that the C-suite table will get behind. >> And by politics here you mean influencing others to get on board and participate in this process? >> Even just understanding, sometimes leaders of business don't articulate very well in terms of data and analytics, what is it that they actually need to accomplish to get to their end goal, and you find them kind of stammering when it comes to, "Well, I don't really know "how you as Inderpal Bhandari can help me, "but here's what I've got to do." And it's a crisis usually. "I've got to get this done, "and I've got to make these numbers by this date. "How can you help me do that?" And that's when the chief data officer kicks into gear and is very creative and actually brings a whole new mindset to the person to understand their business and really dive in and understand, "Okay, this is how "we're going to help you meet that sales number," or, "This is how we're going to help you "get the new revenue growth." >> In certain respects, there's a business strategy, and then, you have to resource the business strategy. And the data strategy then is how are we going to use data as a resource to achieve our business strategy? >> Cortnie: Yes. >> So, let me test something. The way that we at SiliconANGLE, Wikibon have defined digital business is that a business, a digital business uses data as an asset to differentially create and keep customers. >> Caitlin: Right. >> Does that work for you guys? >> Cortnie: Yeah, sure. >> It's focused on, and therefore, you can look at a business and say is it more or less digital based on how, whether it's more or less focused on data as an asset and as a resource that's going to differentiate how it's business behaves and what it does for customers. >> Cortnie: And it goes from the front office all the way to the back. >> Yes, because it's not just, but that's what, create and keep, I'm borrowing from Peter Drucker, right. Peter Drucker said the goal of business is to create and keep customers. >> Yeah, that's right. Absolutely, at the end of the day-- >> He included front end and back end. >> You got to make money and you got to have customers. >> Exactly. >> You got to have customers to make the money. >> So data becomes a de-differentiating asset in the digital business, and increasingly, digital is becoming the differentiating approach in all business. >> I would argue it's not the data, because everybody's drowning in data, it's how you use the data and how creative you can be to come up with the methods that you're going to employ. And I'll give you an example. Here's just an example that I've been using with retailers lately. I can look at all kinds of digital exhaust, that's what we call it these days. Let's say you have a personal digital shopping experience that you're creating for these new millenials, we'll go with that example, because shoppers, 'cause retailers really do need to get more millenials in the door. They're used to their Amazon.coms and their online shopping, so they're trying to get more of them in the door. When you start to combine all of that data that's underlying all of these cool things that you're doing, so personal shopping, thumbs up, thumb down, you like this dress, you like that cut, you like these heels? Yeah, yes, yes or no, yes or no. I'm getting all this rich data that I'm building with my app, 'cause you got to be opted in, no violating privacy here, but you're opting in all the way along, and we're building and building, and so, we even have, for us, we have this Metro Pulse retail asset that we use that actually has hyperlocal information. So, you could, knowing that millenials like, for example, food trucks, we all like food trucks, let's just face it, but millenials really love food trucks. You could even, if you are a retailer, you could even provide a fashion truck directly to their location outside their office equipped with things that you know they like because you've mined that digital exhaust that's coming off the personal digital shopping experience, and you've understood how they like to pair up what they've got, so you're doing a next best action type of thing where you're cross-selling, up-selling. And now, you bring it into the actual real world for them, and you take it straight to them. That's a new experience, that's a new millennial experience for retail. But it's how creative you are with all that data, 'cause you could have just sat there before and done nothing about that. You could have just looked at it and said, "Well, let's run some reports, "let's look at a dashboard." But unless you actually have someone creative enough, and usually it's a pairing of data scientist, chief data officers, digital officers all working together who come up with these great ideas, and it's all based, if you go back to what my example was, that example is how do I create a new experience that will get millenials through my doors, or at least get them buying from me in a different way. If you think about that was the goal, but how I combined it was data, a digital process, and then, I put it together in a brand new way to take action on it. That's how you get somewhere. >> Let me see if I can summarize very quickly. And again, just as an also test, 'cause this is the way we're looking at it as well, that there's human beings operate and businesses operate in an analog world, so the first test is to take analog data and turn it into digital data. IOT does that. >> Cortnie: Otherwise, there's not digital exhaust. >> Otherwise, there's no digital anything. >> Cortnie: That's right. >> And we call it IOT and P, Internet of Things and People, because of the people element is so crucial in this process. Then we have analytics, big data, that's taking those data streams and turning them into models that have suggestions and predictions about what might be the right way to go about doing things, and then there's these systems of action, or what we've been calling systems of enactment, but we're going to lose that battle, it's probably going to be called systems of action that then take and transduce the output of the model back into the real world, and that's going to be a combination of digital and physical. >> And robotic process automation. We won't even introduce that yet. >> Which is all great. >> But that's fun. >> That's going to be in October. >> But I really like the example that you gave of the fashion truck because people don't look at a truck and say, "Oh, that's digital business." >> Cortnie: Right, but it manifested in that. >> But it absolutely is digital business because the data allows you to bring a more personal experience >> Understand it, that's right. >> right there at that moment, and it's virtually impossible to even conceive of how you can make money doing that unless you're able to intercept that person with that ensemble in a way that makes both parties happy. >> And wouldn't that be cheaper than having big, huge retail stores? Someone's going to take me up on that. Retailers are going to take me up on this, I'm telling you. >> But I think the other part is-- >> Right next to the taco truck. >> There could be other trucks in that, a much cleaner truck, and this and that. But one thing, Cortnie, you talk about and you got to still have a hypothesis, I think of the early false promises of big data and Hadoop, just that you throw all this stuff in, and the answer just comes out. That just isn't the way. You've got to be creative, and you have to have a hypothesis to test, and I'm just curious from your experience, how ready are people to take in the external data sources and the unstructured data sources and start to incorporate that in with the proprietary data, 'cause that's a really important piece of the puzzle? It's very different now. >> I think they're ready to do it, it depends on who in the business you are working with. Digital offices, marketing offices, merchandising offices, medical offices, they're very interested in how can we do this, but they don't know what they need. They need guidance from a data officer or a data science head, or something like this, because it's all about the creativity of what can I bring together to actually reach that patient diagnostic, that whatever the case may be, the right fashion truck mix, or whatever. Taco Tuesday. >> So, does somebody from the chief data office, if you will, you know, get assigned to, you're assigned to marketing and you're assigned to finance, and you're assigned to sales. >> I have somebody assigned to us. >> To put this in-- >> Caitlin: Exactly, exactly. >> To put this in kind of a common or more modern parlance, there's a design element. You have to have use case design, and what are we going, how are we going to get better at designing use cases so we can go off and explore the role that data is going to play, how we're going to combine it with other things, and to your point, and it's a great point, how that turns into a new business activity. >> And if I can connect two points there, the single biggest question I get from clients is how do you prioritize your use cases. >> Oh, gosh, yeah. >> How can you help me select where I'm going to have the biggest impact? And it goes, I think my thing's falling again. (laughing) >> Jeff: It's nice and quiet in here. >> Okay, good. It goes back to what you were saying about data strategy. We say what's your data strategy? What's your overarching mission of the organization? For us, it's becoming cognitive business, so for us, it's selecting projects where we can infuse cognition the quickest way, so Client 360, for example. We'll often say what's your strategy, and that guides your prioritization. That's the question we get the most, what use case do I select? Where am I going to have the most impact for the business, and that's where you have to work with close partnership with the business. >> But is it the most impact, which just sounds scary, and you could get in analysis paralysis, or where can I show some impact the easiest or the fastest? >> You're going to delineate both, right? >> Exactly. >> Inderpal's got his shortlist, and he's got his long list. Here's the long term that we need to be focused on to make sure that we are becoming holistically a cognitive company so that we can be flexible and agile in this marketplace and respond to all kinds of different situations, whether they're HR and we need more skills and talent, 'cause let's face it, we're a technology company who's rapidly evolving to fit with the marketplace, or whether it's just good old-fashioned we need more consultants. Whatever the case may be. >> Always, always. >> Yes! >> I worked my business in. >> More consultants! >> Alright, we could go, we could go and go and go, but we're running out of time, we had a full slate. >> Caitlin: We just started. >> I know. >> I agree, we're just starting this convers, I started a whole other conversation to him. We haven't even hit the robotics yet. >> We need to keep going, guys. >> Get control. >> Cortnie: Less coffee for us. >> What do people think about when they think about this series? What should they look forward to, what's the next one for the people that didn't make it here today, where should they go on the calendar and book in their calendars? >> So, I'll speak to the summits first. It's great, we do Spring in San Francisco. We'll come back, reconvene in Boston in fall, so that'll be September, October frame. I'm seeing two other trends, which I'm quite excited about, we're also looking at more industry-specific CDO summits. So, for those of our friends that are in government sectors, we'll be in June 6th and 7th at a government CDO summit in D.C., so we're starting to see more of the industry-specific, as well as global, so we just ran our first in Rio, Brazil for that area. We're working on a South Africa summit. >> Cortnie: I know, right. >> We actually have a CDO here with us that traveled from South Africa from a bank to see our summit here and hoping to take some of that back. >> We have several from Peru and Mexico and Chile, so yeah. >> We'll continue to do our two flagship North America-based summits, but I'm seeing a lot of growth out in our geographies, which is fantastic. >> And it was interesting, too, in your keynote talking about people's request for more networking time. You know, it is really a sharing of best practices amongst peers, and that cannot be overstated. >> Well, it's community. A community is building. >> It really is. >> It's a family, it really is. >> We joke, this is a reunion. >> We all come in and hug, I don't know if you noticed, but we're all hugging each other. >> Everybody likes to hug their own team. It's a CUBE thing, too. >> It's like therapy. It's like data therapy, that's what it is. >> Alright, well, Caitlin, Cortnie, again, thanks for having us, congratulations on a great event, and I'm sure it's going to be a super productive day. >> Thank you so much. Pleasure. >> Thanks. >> Jeff Frick with Peter Burris, you're watchin' theCUBE from the IBM Chief Data Officer Summit Spring 2017 San Francisco, thanks for watching. (electronic keyboard music)

Published Date : Mar 29 2017

SUMMARY :

Brought to you by IBM. and we're really excited to have the drivers It's so comfortable, I forget you guys and in the keynote is a lot of talk about what's coming next Let me let you start, because this was and start to build relationships with this new Jeff: 50? 50, and I can tell you that and what do you guys know as IBM and at the time, there was a lot of skepticism and we're goin' strong still. You covered some of that earlier in the keynote, and the focus on making sure the line of business leaders to come to the table, I mean, you can't just come at it from the data first. You don't have 18 months to come to data, Get it in the door, start showing some results right away. and then, once we had that support and mandate And so, we always say-- So, it's that key at the highest level so that I don't become the person the younger people don't know that term, I don't think. I do, I love the millenials. about the role the data's going to play in business. and that the C-suite table will get behind. "we're going to help you meet that sales number," and then, you have to resource the business strategy. as an asset to differentially create and keep customers. and what it does for customers. Cortnie: And it goes from the front office is to create and keep customers. Absolutely, at the end of the day-- digital is becoming the differentiating approach and how creative you can be to come up with so the first test is to take analog data and that's going to be a combination of digital and physical. And robotic process automation. But I really like the example that you gave how you can make money doing that Retailers are going to take me up on this, I'm telling you. You've got to be creative, and you have to have because it's all about the creativity of from the chief data office, if you will, assigned to us. and to your point, and it's a great point, is how do you prioritize your use cases. How can you help me and that's where you have to work with and respond to all kinds of different situations, Alright, we could go, We haven't even hit the robotics yet. So, I'll speak to the summits first. to see our summit here and hoping to take some of that back. We'll continue to do our two flagship And it was interesting, too, in your keynote Well, it's community. We all come in and hug, I don't know if you noticed, Everybody likes to hug their own team. It's like data therapy, that's what it is. and I'm sure it's going to be a super productive day. Thank you so much. Jeff Frick with Peter Burris,

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Caitlin Lepech & Dave Schubmehl - IBM Chief Data Officer Strategy Summit - #IBMCDO - #theCUBE


 

>> live from Boston, Massachusetts. >> It's the Cube >> covering IBM Chief Data Officer Strategy Summit brought to you by IBM. Now, here are your hosts. Day villain Day and >> stew minimum. Welcome back to Boston, everybody. This is the IBM Chief Data Officer Summit. And this is the Cube, the worldwide leader in live tech coverage. Caitlin Lepic is here. She's an executive within the chief data officer office at IBM. And she's joined by Dave Shoot Mel, who's a research director at, uh D. C. And he covers cognitive systems and content analytics. Folks, welcome to the Cube. Good to see you. Thank you. Can't. Then we'll start with you. You were You kicked off the morning and I referenced the Forbes article or CDOs. Miracle workers. That's great. I hadn't read that article. You put up their scanned it very quickly, but you set up the event. It started yesterday afternoon at noon. You're going through, uh, this afternoon? What's it all about? This is evolved. Since, what, 2014 >> it has, um, we started our first CDO summit back in 2014. And at that time, we estimated there were maybe 200 or so CDOs worldwide, give or take and we had 30, 30 people at our first event. and we joked that we had one small corner of the conference room and we were really quite excited to start the event in 30 2014. And we've really grown. So this year we have about 170 folks joining us, 70 of which are CEOs, more acting, the studios in the organization. And so we've really been able to grow the community over the last two years and are really excited to see to see how we can continue to do that moving forward. >> And IBM has always had a big presence at the conference that we've covered the CDO event. So that's nice that you can leverage that community and continue to cultivate it. Didn't want to ask you, so it used that we were talking when we first met this morning. It used to be dated was such a wonky topic, you know, data was data value. People would try to put a value on data, and but it was just a really kind of boring but important topic. Now it's front and center with cognitive with analytics. What are you seeing in the marketplace. >> Yeah, I think. Well, what we're seeing in the market is this emphasis on predictive applications, predictive analytics, cognitive applications, artificial intelligence of deep learning. All of those those types of applications are derived and really run by data. So unless you have really good authoritative data to actually make these models work, you know, the systems aren't going to be effective. So we're seeing an emerging marketplace in both people looking at how they can leverage their first party data, which, you know, IBM is really talking about what you know, Bob Picciotto talked about this morning. But also, we're seeing thie emergency of a second party and third party data market to help build these models out even further so that I think that's what we're really seeing is the combination of the third party data along with the first party data really being the instrument for building these kind of predictive models, you know, they're going to take us hopefully, you know, far into the future. >> Okay, so, Caitlin square the circle for us. So the CDO roll generally is not perceived. Is it technology role? Correct. Yet as Davis to saying, we're talking about machine learning cognitive. Aye, aye. These air like heavy technical topics. So how does the miracle worker deal with all this stuff generally? And how does IBM deal with it inside the CDO office? Specifically? >> Sure. So it is. It's a very good point, you know, Traditionally, Seo's really have a business background, and we find that the most successful CDO sit in the business organization. So they report somewhere in a line of business. Um, and there are certainly some that have a technical background, but far more come from business background and sit in the business. I can't tell you how we are setting up our studio office at IBM. Um, so are new. And our first global chief date officer joined in December of last year. Interpol Bhandari, um and I started working for him shortly thereafter, and the way he's setting up his office is really three pillars. So first and foremost, we focused on the data engineering data sign. So getting that team in place next, it's information, governance and policy. How are we going to govern access, manage, work with data, both data that we own within our organization as well as the long list of of external data sources that that we bring in and then third is the business integration filler. So the idea is CDOs are going to be most successful when they deliver those data Science data engineering. Um, they manage and govern the data, but they pull it through the business, so ensuring that were really, you know, grounded in business unit and doing this. And so those there are three primary pillars at this point. So prior >> to formalizing the CDO role at I b m e mean remnants of these roles existed. There was a date, equality, you know, function. There was certainly governance in policy, and somebody was responsible to integrate between, you know, from the i t. To the applications, tow the business. Were those part of I t where they sort of, you know, by committee and and how did you bring all those pieces together? That couldn't have been trivial, >> and I would say it's filling. It's still going filling ongoing process. But absolutely, I would say they typically resided within particular business units, um, and so certainly have mature functions within the unit. But when we're looking for enterprise wide answers to questions about certain customers, certain business opportunities. That's where I think the role the studio really comes in and what we're What we're doing now is we are partnering very closely with business units. One example is IBM analytic. Seen it. So we're here with Bob Luciano and other business units to ensure that, as they provide us, you know, their data were able to create the single trusted source of data across the organization across the enterprise. And so I agree with you, I think, ah, lot of those capabilities and functions quite mature, they, you know, existed within units. And now it's about pulling that up to the enterprise level and then our next step. The next vision is starting to make that cognitive and starting to add some of those capabilities in particular data science, engineering, the deep learning on starting to move toward cognitive. >> Dave, I think Caitlin brought up something really interesting. We've been digging into the last couple of years is you know, there's that governance peace, but a lot of CEOs are put into that role with a mandate for innovation on. That's something that you know a lot of times it has been accused of not being all that innovative. Is that what you're seeing? You know what? Because some of the kind of is it project based or, you know, best initiatives that air driving forward with CEOs. I think what we're seeing is that enterprises they're beginning to recognize that it's not just enough to be a manufacturer. It's not just enough to be a retail organization. You need to be the one of the best one of the top two or the top three. And the only way to get to that top two or top three is to have that innovation that you're talking about and that innovation relies on having accurate data for decision making. It also relies on having accurate data for operations. So we're seeing a lot of organizations that are really, you know, looking at how data and predictive models and innovation all become part of the operational fabric of a company. Uh, you know, and if you think about the companies that are there, you know, just beating it together. You know Amazon, for example. I mean, Amazon is a completely data driven company. When you get your recommendations for, you know what to buy, or that's all coming from the data when they set up these logistics centers where they're, you know, shipping the latest supplies. They're doing that because they know where their customers are. You know, they have all this data, so they're they're integrating data into their day to day decision making. And I think that's what we're seeing, You know, throughout industry is this this idea of integrating decision data into the decision making process and elevating it? And I think that's why the CDO rule has become so much more important over the last 2 to 3 years. >> We heard this morning at 88% percent of data is dark data. Papa Geno talked about that. So thinking about the CEOs scope roll agenda, you've got data sources. You've gotto identify those. You gotta deal with data quality and then Dave, with some of the things you've been talking about, you've got predictive models that out of the box they may not be the best predictive models in the world. You've got iterated them. So how does an organization, because not every organizations like Amazon with virtually unlimited resource is capital? How does an organization balance What are you seeing in terms of getting new data sources? Refining those data source is putting my emphasis on the data vs refining and calibrating the predictive models. How organizations balancing that Maybe we start with how IBM is doing. It's what you're seeing in the field. >> So So I would say, from what we're doing from a setting up the chief data office role, we've taken a step back to say, What's the company's monitor monetization strategy? Not how your mind monetizing data. How are how are you? What's your strategy? Moving forward, Um, for Mance station. And so with IBM we've talked about it is moved to enabling cognition throughout the enterprise. And so we've really talked about taking all of your standard business processes, whether they be procurement HR finance and infusing those with cognitive and figuring out how to make those smarter. We talking examples with contracts, for example. Every organization has a lot of contracts, and right now it's, you know, quite a manual process to go through and try and discern the sorts of information you need to make better decisions and optimize the contract process. And so the idea is, you start with that strategy for us. IBM, it's cognitive. And that then dictates what sort of data sources you need. Because that's the problem you're trying to solve in the opportunity you're chasing down. And so then we talk about Okay, we've got some of that data currently residing today internally, typically in silos, typically in business units, you know, some different databases. And then what? What are longer term vision is, is we want to build the intelligence that pulls in that internal data and then really does pull in the external data that we've that we've all talked about. You know, the social data, the sentiment analysis, analysis, the weather. You know, all of that sort of external data to help us. Ultimately, in our value proposition, our mission is, you know, data driven enablement cognition. So helps us achieve our our strategy there. >> Thank you, Dad, to that. Yeah, >> I mean, I think I mean, you could take a number of examples. I mean, there's there's ah, uh, small insurance company in Florida, for example. Uh, and what they've done is they have organized their emergency situation, their emergency processing to be able to deal with tweets and to be able to deal with, you know, SMS messages and things like that. They're using sentiment analysis. They're using Tex analytics to identify where problems are occurring when hurricane happens. So they're what they're doing is they're they're organizing that kind of data and >> there and there were >> relatively small insurance company. And a lot of this is being done to the cloud, but they're basically getting that kind of sentiment analysis being ableto interpret that and add that to their decision making process. About where should I land a person? Where should I land? You know, an insurance adjuster and agent, you know, based on the tweets, that air coming in rather than than just the phone calls that air coming into the into the organization, you know? So that's a That's a simple example. And you were talking about Not everybody has the resources of an Amazon, but, you know, certainly small insurance companies, small manufacturers, small retail organizations, you, Khun get started by, you know, analyzing your You know what people are saying about you. You know, what are people saying about me on Twitter? What are people saying about me on Facebook? You know how can I use that to improve my customer service? Uh, you know, we're seeing ah whole range of solutions coming out, and and IBM actually has a broad range of solutions for things like that. But, you know, they're not the only points out there. There's there's a lot of folks do it that kind of thing, you know, in terms of the dark data analysis and barely providing that, you know, as part of the solution to help people make better decisions. >> So the answers to the questions both You're doing both new sources of data and trying to improve the the the analytics and the models. But it's a balancing act, and you could come back to the E. R. A. Y question. It sounds like IBM strategies to supercharge your existing businesses by infusing them with new data and new insights. Is >> that correctly? I would say that is correct. >> Okay, where is in many cases, the R A. Y of analytics projects that date have been a reduction on investment? You know, I'm going to move stuff from my traditional W two. A dupe is cheaper, and we feels like Dave, we're entering a new wave now maybe could talk about that a little bit. >> Yeah. I mean, I think I think there's a desk in the traditional way of measuring ROI. And I think what people are trying to do now is look at how you mentioned disruption, for example. You know what I think? Disruption is a huge opportunity. How can I increase my sales? How can I increase my revenue? How can I find new customers, you know, through these mechanisms? And I think that's what we're starting to see in the organization. And we're starting to see start ups that are dedicated to providing this level of disruption and helping address new markets. You know, by using these kinds of technologies, uh, in in new and interesting ways. I mean, everybody uses the airbnb example. Everybody uses uber example. You know that these are people who don't own cars. They don't know what hotel rooms. But, you know, they provide analytics to disrupt the hotel industry and disrupt the taxi industry. It's not just limited to those two industries. It's, you know, virtually everything you know. And I think that's what we're starting to see is this height of, uh, virtual disruption based on the dark data, uh, that people can actually begin to analyze >> within IBM. Uh, the chief data officer reports to whom. >> So the way we've set up in our organization is our CBO reports to our senior vice president of transformation and operations, who then reports to our CEO our recommendation as we talked with clients. I mean, we see this as a CEO level reporting relationship, and and oftentimes we advocate, you know, for that is where we're talking with customers and clients. It fits nicely in our organization within transformation operations, because this line is really responsible for transforming IBM. And so they're really charged with a number of initiatives throughout the organization to have better skills alignment with some of the new opportunities. To really improve process is to bring new folks on board s. So it made sense to fit within, uh, organization that the mandate is really transformation of the company of the >> and the CDO was a peer of the CIA. Is that right? Yes. >> Yes, that's right. That's right. Um, and then in our organization, the role of split and that we have a chief data officer as well as a chief analytics officer. Um, but, you know, we often see one person serving both of those roles as well. So that's kind of, you know, depend on the organizational structure of the company. >> So you can't run the business. So to grow the business, which I guess is the P and L manager's role and transformed the business, which is where the CDO comes. >> Right? Right, right. Exactly. >> I can't give you the last word. Sort of Put a bumper sticker on this event. Where do you want to see it go? In the future? >> Yes. Eso last word. You know, we try Tio, we tried a couple new things. Uh, this this year we had our deep dive breakout sessions yesterday. And the feedback I've been hearing from folks is the opportunity to talk about certain topics they really care about. Is their governance or is innovation being able to talk? How do you get started in the 1st 90 days? What? What do you do first? You know, we we have sort of a five steps that we talk through around, you know, getting your data strategy and your plan together and how you execute against that. Um And I have to tell you, those topics continue to be of interest to our to our participants every year. So we're going to continue to have those, um, and I just I love to see the community grow. I saw the first Chief data officer University, you know, announced earlier this year. I did notice a lot of PR and media around. Role of studio is miracle workers, As you mentioned, doing a lot of great work. So, you know, we're really supportive. Were big supporters of the role we'll continue to host in person events. Uh, do virtual events continue to support studios? To be successful on our big plug is will be world of Watson. Eyes are big IBM Analytics event in October, last week of October in Vegas. So we certainly invite folks to join us. There >> will be, >> and he'll be there. Right? >> Get still, try to get Jimmy on. So, Jenny, if you're watching, talking to come on the Q. >> So we do a second interview >> and we'll see. We get Teo, And I saw Hillary Mason is going to be the oh so fantastic to see her so well. Excellent. Congratulations. on being ahead of the curve with the chief date officer can theme. And I really appreciate you coming to Cube, Dave. Thank you. Thank you. All right, Keep right there. Everybody stew and I were back with our next guest. We're live from the Chief Data Officers Summit. IBM sze event in Boston Right back. My name is Dave Volante on DH. I'm a longtime industry analysts.

Published Date : Sep 23 2016

SUMMARY :

covering IBM Chief Data Officer Strategy Summit brought to you by You put up their scanned it very quickly, but you set up the event. And at that time, we estimated there were maybe 200 or so CDOs worldwide, give or take and we had 30, 30 people at our first event. the studios in the organization. a wonky topic, you know, data was data value. data to actually make these models work, you know, the systems aren't going to be effective. So how does the miracle worker deal with all this stuff generally? so ensuring that were really, you know, grounded in business unit and doing this. and somebody was responsible to integrate between, you know, from the i t. units to ensure that, as they provide us, you know, their data were able to create the single that are really, you know, looking at how data and are you seeing in terms of getting new data sources? And so the idea is, you start with that Thank you, Dad, to that. to be able to deal with, you know, SMS messages and things like that. You know, an insurance adjuster and agent, you know, based on the tweets, that air coming in rather than than just So the answers to the questions both You're doing both new sources of data and trying to improve I would say that is correct. You know, I'm going to move stuff from my traditional W two. And I think what people are trying to do now is look at how you mentioned disruption, Uh, the chief data officer reports to whom. you know, for that is where we're talking with customers and clients. and the CDO was a peer of the CIA. So that's kind of, you know, depend on the organizational structure of So you can't run the business. Right? I can't give you the last word. I saw the first Chief data officer University, you know, announced earlier this and he'll be there. So, Jenny, if you're watching, talking to come on the Q. And I really appreciate you coming to Cube, Dave.

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Caitlyn Clabaugh, Embodied & Paolo Pirjanian, Embodied | Amazon re:MARS 2022


 

>>Okay, welcome back everyone. This is the cube coverage here at Remar. Amazon Remar stands for machine learning, automation, robotics, and space. And we're here for a robotics. Cool segments. We have Monia on the desk. We'll get Caitlin Caitlin clay bar head. Ofri welcome to the cube and follow Virginian, founder and CEO of Moxi. Thanks for coming on and thanks for bringing this special third guest. Thank you for helping >>Us. >>This is exciting. Okay. So first of all, we'll get into the company a second, but what do we, what is this? What what's going on? This is amazing. >>Go. This is Moxi. This is our first product out of embodied and it is a social, emotional learning AI friend for children, ages five to 10 currently. >>That's what he, he or she likes me. Yes. Staring at me right now. I'm a child. Thank he. Nice to see you. >>And it has all sorts of content and in multi back and forth interaction. Yeah. And it's, it's our first pass at doing socially. >>Okay. So this product is shipping. >>It is shipping. Yeah. Available. It is available. We've been out for over a year now shipping for over a year now. >>Okay. Oh man. It just makes me feel good. It must be a big seller across all use cases. So what's the number one thing you guys getting attention on right now from Moxi besides the cool factor, the tech what's going on? >>Well, I think we have received a lot of interest from many people because Mo Mox is captured the imagination of people in terms of what is possible in the future. And really the Genesis of it is that I've been doing robotics for 20 years and sort of a little bit disappointed with what we have accomplished in robotics, because there's so much where we can do we have dreamt about robots for centuries. But what we were dreaming about was not robotic vacuum cleaners, which guilty as charged. I was part, I was a CTO at iRobot and we wanna see robots that can actually can really care for us from childhood to retirement. And Moxi represents the AI technology we have developed. That's gonna make that next wave of robotics to flourish. >>You must be really excited because I think right now, one of the main, my main walkaway themes so far from this show is technology's not the blocker anymore. It's the people human side of it, where it used to be technology slow. And robotics has been that area where we've seen great innovation, but where's that needle moving moment coming. I think now with cloud and all the things happening seems to be the moment. >>I think we are seeing exponential growth in technology. That's gonna enable robots to become unreal. As an example, Moxi uses very advanced, conversational engine where you literally can talk to Moxi about anything you want. So it can be a real companion. It will understand, you understand your needs and emotions and start working on social, emotional development for children. This technology, which are as transformer models, deep neural networks that are trained on millions of conversation. We are seeing every year, 10 X improvement to this. So I predict in the next two to three years, you will be able to have a conversation with Moxi. That's like having a subject expert matter expert in every single subject. Yeah. >>Yeah. That's like getting a cube interview like instantly, Hey, Moxie, what's the information. So I could see the tie in and it's just my mind's blown, I guess in the sense of the use cases are wide. You get wide ranging use cases, elderly care, child development, loneliness, all kinds of social, emotional factors. >>Yeah. We've built a really incredible platform that we're hoping to expand out beyond kids. I mean, kids is kind of our, this is our first product, but Moxi the fact that we have what we call our social X platform and the tools where you can create content and Moxi can have conversations about any number of things it's >>So share. What's what technology is under the covers here with the human robotic interface kind of dynamic, you got software, you got hardware, you're gonna have code. You got the neural networks. It's kind of the confluence of a lot of different vectors coming together. What's the secret sauce. >>So that's what we call our social X platform. And really it you're right. Everything has to work in concert and at a price point that's affordable for people. So Moxie's able to actually track people in the real world and we are able to fuse people's speech. And you know, we do facial recognition for the specific child. So Moxie knows its mentor and personalize the interaction over time. >>Well, she's talking to me or he is a, she is a gender neutral robot, I guess, like whatever I want it to be, I guess >>We've left it intentionally gender neutral, but kids kind of yeah. Prescribe whatever gender they feel connected. >>Yes. Good, good. You enables the user. Yes. Really? The key what's what's been the biggest use case that you didn't think would be coming to the table with Moxi anything surprise you, you must get a lot of reactions. >>Yeah. So you covered some of the ones we are focused on. We are particularly focused on mental health from childhood to retirement and aging gracefully. After we launched Moxi we had a TikTok video that went crazy viral. We got 40 million views on this. And that led to a lot of interest from celebrities. Yeah. >>From some of the most luxury hotel chains that have reached out to us and they want to use the technology in Moxi to develop a personal Butler for every guest room, as an example, that's one example, right? So we have one of the largest violence intervention program in the us that caters to children that have unfortunately been through very traumatic experiences in their life and want to use Moxi as a way to provide therapy to these children. Yeah. Yeah. So the use cases are very broad. We even have people from different countries that were very interested in using Moxi for, for instance, teaching a Chinese child, how to speak English, immersively by interacting with Moxi, which is the best way to learn a different language. So I think the implications of this are paramount. Yeah. We will even see in contact centers, centers, customer support centers, and so on will use technology like this for having them empathetic AI that's actually taking care of your customer service complaints rather than a robotic way of >>Interacting with. I was just on, on earlier with an interview here with Deloitte and AWS on conversational AI and trust was a big conversation. Yes. Trust and, and ethics. So you got ethics, trust bias, all these things are of factors. You got human interaction from a physical and then software standpoint. What, what other hard problems are in here that you guys are solving? Come on. This is incredible because these are hard problems. >>Yes they are. And one of them is the famous cocktail party problem. And Palo being our fearless CEO really drove the team to get Moxi to this state where Moxie's able to interact with people, even in this environment, which is pretty incredible and like lock in and have a back and forth conversation. It's very exciting. >>So Moxi how do you feel you feeling good? What's the biggest challenge you've had here? Audio. Congratulations. That's really impressive. I'm so impressed. And again, it it's again, not to oversimplify it. There's a lot of hard problems going on here that are, that are being solved. >>Absolutely. There's >>Human interaction. You get a physical device. >>Exactly. It's a physical device. And like how we have designed Moxi down to the color of Moxie's eyes, the color of the shell, all of that has taken a lot of iteration to get to a point where we really have a robot that people feel like they can trust, feel like they can connect with. And, >>And even something to add to this is that we have many robots that cost tens of thousands of dollars, because it's very easy to keep adding more sensors and more compute power. And so on. You end up with robots that cost 10, 20, $30,000. One of the goals we set at the outset was we want to make Moxi as, as affordable as an iPhone. So, and Moxi is right. The price point of Moxi is same as owning an iPhone. You pay about a thousand dollars up front plus a monthly subscription fee. And that not >>The Ram cap upgrade the Ram on that too. >>We have very limited brand. >>We have please. Very, >>If you can convince it >>IPhone, I can always get the 2 56 or the one terabyte, >>Right? No, it, it really actually makes it much harder to develop technology that's affordable >>For yeah. Yeah, totally. >>And we wanted to do that because we wanted to have impact. >>So are you shipping now or are you on allocation? I can imagine that demand is off the >>Charts. Definitely. We sold out last year when we launched the product. Now we are resolving supply chain issues that everyone is suffering from due to COVID and this year we'll have better ability to meet demand. >>So this is people want it. There's a lot of demand. >>Right? >>You guys a smile having fun. Yes. Right. All right. So now talking about the product, take me through the product. What's the challenges here. Obviously the animation in the camera. I see the camera. I see some lights there at heart speaker. What would Moxi be doing if wasn't, if we weren't here, if we were at home. >>So as in interacting with a child at home, we've seen a lot of people actually put Moxy on the floor and kids will like lay down and interact with Moxy. And there are a lot of different activities right now it's doing a little jukebox dance, but there are more kind of therapy or mental health and, and social, emotional learning, driven content. Like children can read a book with Moxi and we use the screen, not just to show that great, cute facial expression and the eye contact, but we also can show icons and some additional information. And so in this way, we've created a very new type of interface for a machine, with a child, >>Not to get all product visionary and roadmap oriented here. But I can imagine interfacing out to a third party screens in the future where this is gonna stay compact and affordable. And if I'm interacting and I want to display a visual, is that something you guys are guys going beyond that you're still focused on the product here? So what's some of the vision you have >>There definitely. There will be versions of our social X platform, finding their way into what we may call the metaverse, where you could have hyper realistic models of humans driven by our AI to interact with you the way you and I are interacting, but embodiment where the name of the companies derive from is actually super important in the kind of things we are doing with mental health and social emotional development. Because the physical co-presence of an entity like this interacts with our brains in a different way than when we do on extreme. So there is gonna be both versions for some applications will be virtual. Other applications will be >>Physical. Well, that's a wait and see, see what happens, sell out the next batch inventory where the product yeah. >>And the embodiment. It does. It just, it hits a little different, you know, kids yeah. Will actually physically tuck Moxi in at night. There's there's something there >>That's, there's something there tangible, I think it's great. Home run. I mean, just having the response, the visual response, the facial makes an impact instantly. >>Absolutely. >>So you can extend that out, probably make it more immersive, whether it's metaverse or within your home. >>Yeah. And now with AR VR goggles, where you get this 3d immersive experience, it may get closer to the impact we can have with an embodied agency. So the lines are blurring obviously between the physical and the digital. >>Well, great to have you guys on. Thanks for bringing the, the, the Moxi on Moxi to come on. This event kind of symbolizes this revolution. We're seeing the robotics industrial shift space is a good example of one. This is another machine learning, the software business cloud, all great, you know, force multipliers to enable value creation. Where do you guys see this going Remar as this whole intersection, you got a lot of different disciplines coming together. We're seeing here in the cube and we're talking to folks that we think it's gonna be a needle moving moment for the, for the industrial era. What do you guys take on this? >>Absolutely. I mean, >>Robotics has always been right around the corner, but with the advances of technology in the last 10 years or so, this is now really possible and it's growing at exponential rates. So the future is exciting. Obviously we have to guide it. You talked about ethics. So being ethical about it, being mindful about how we want to deploy this technologies to actually have positive impact on us. For instance, we do not believe in replacing a human labor or the need for humans, but we believe in augmenting humans, right. And technology today can actually do that. Yeah. >>Know that whole argument's been debunked for decade, the whole bank teller. Oh, they're gonna put tellers outta business. No, there's more tellers now than ever before. So I think technology is gonna create much greater aperture of, of opportunities. And I think the question I'd love to get, get you guys to share is this is gonna wake up a lot of generational, young talent to come into the workforce, cuz the problems are there. It's not a technology. It's a human mind, creative problem. Now it's more of, you know, you're gonna see robotics probably being accelerated even more now than it is. It's still growing. Yeah. Young kids love robotics. >>I mean, it's incredible to see the breadth of applications of robotics at, at this event specifically and just, I don't know, getting into it. I mean, I haven't been in it as long as you pow, but five, 10 years ago, you wouldn't have seen, I mean, this just wouldn't be possible. >>The robotics clubs are more popular now in high, most high schools in the United States than some sports there's a and a B team and people get cut from the B team. There's so much demand. There's so much excitement cuz it's building. If you get your hands on and it's got software, it's got coding. Absolutely. It's got building. >>Absolutely. And you are, you are creating, there are figures like Steve jobs, Jeff Bezos, LAN Musk that are inspiring children to go into stem education and really build a career in that area, which is much more exciting than the, the opposite. >>Great. What do you guys think about re Mars this year? What's your walk away? What's the big story here besides Moxi cuz we recovered that right now. What's what's the, what's the trend. What's the high level. What's the most important story people should pay attention to? >>I think we're just gonna see robotics or machine learning and we're just gonna see it in almost every application and it's going to be, the word was ambient was being used during the keynote. And I think that's really true. Ambient intelligence, like having robots in your everyday life as well as just AI in your everyday life. And it's gonna feel seamless. >>It's pretty impressive. Paul, what's your take on the, the >>Big story? I would say one of the trends we are seeing at even here at AWS, Amazon re remarks is making machines more human. Yeah. Even Astro the product that was launched last September, I believe by Amazon is adding a lot of facial affect emotions and understanding of humans for decades. We have been bound to using keyboards and touch screens and yeah. Clicks here and there. And it's gonna change it's time for machines to learn, to understand us. Yeah. And that is gonna be a trend that we will see even in the self self-driving cars, which are not gonna have a steering wheel, but the machine will understand our mood and drive accordingly. >>Yeah. And you know, Apollo, you guys are doing Caitlin your work here. I think highlights what I'm seeing as it's a future theme. That's positive. It has a vibe of like, we need a good to come. You know, it's like, when's the good gonna happen? And I think, >>I think we're ready for that. >>The theme's here though. They're very positive forward thinking practical engineered, you know, and solving problems, right? Real problems. The climate change and the keynote. We talking about healthcare and, and having things be solved this way. This is the new, the new normal, it's a human problem now to solve >>It is. And I think we are all, all of us are a bit more aware of that after the pandemic, because pan the pandemic was hard on everyone in different ways and we are more mindful of the positive. Right? We are looking for something positive and hopefully yeah. Coming out of the pandemic, now we have a global crisis, but these, these technologies will transform life and the world in a positive way. Yeah. >>You guys doing a great job. Congratulations on the success of >>Moxi. Thank >>You. Great work. Thanks for sharing that. Thank you. I wanna let more platform maybe next time. We'll have a conversation. We'll talk about the platform in tric season, then detail. So, but thanks for coming on the queue. Appreciate the problem. >>Thank you. Our pleasure. Okay. >>It's the Cube's coverage here in Las Vegas for Amazon re Mars. I'm John furrier. Stay with us for more coverage after this short break.

Published Date : Jun 23 2022

SUMMARY :

This is the cube coverage here at Remar. This is amazing. social, emotional learning AI friend for children, ages five to Nice to see you. And it has all sorts of content and in multi back and forth It is shipping. So what's the number one thing you guys getting attention on right now from Moxi besides the cool factor, And Moxi represents the AI technology we have developed. and all the things happening seems to be the moment. So I predict in the next two to three years, you will be able to have a conversation with Moxi. So I could see the tie in and it's just my I mean, kids is kind of our, this is our first product, but Moxi the fact that we It's kind of the confluence of a lot of different vectors coming together. So Moxie knows its mentor and personalize the interaction over time. We've left it intentionally gender neutral, but kids kind of yeah. been the biggest use case that you didn't think would be coming to the table with Moxi And that led to a lot of interest from celebrities. So the use cases are very broad. So you got ethics, trust bias, all these things are of factors. our fearless CEO really drove the team to get Moxi And again, it it's again, not to oversimplify it. There's You get a physical device. all of that has taken a lot of iteration to get to a point where we really have a robot that people feel like they One of the goals we set at the outset was we want to make Moxi as, We have please. For yeah. that everyone is suffering from due to COVID and this year we'll have better ability to So this is people want it. So now talking about the product, on the floor and kids will like lay down and interact with Moxy. And if I'm interacting and I want to display a visual, is that something you guys are guys going beyond call the metaverse, where you could have hyper realistic models of the product yeah. And the embodiment. I mean, just having the response, it may get closer to the impact we can have with an embodied agency. learning, the software business cloud, all great, you know, force multipliers to enable value creation. I mean, So the future is exciting. And I think the question I'd love to get, get you guys to share is I mean, it's incredible to see the breadth of applications of robotics at, at this event specifically and The robotics clubs are more popular now in high, most high schools in the United States than some sports And you are, you are creating, there are figures like Steve jobs, Jeff Bezos, What's the big story here besides Moxi cuz we recovered And I think that's really true. Paul, what's your take on the, the And that is gonna be a trend that we will see even in the self self-driving And I think, the new normal, it's a human problem now to solve because pan the pandemic was hard on everyone in different ways and we are more mindful of Congratulations on the success of So, but thanks for coming on the queue. Thank you. It's the Cube's coverage here in Las Vegas for Amazon re Mars.

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