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Plamen Dimitrov, Kiawah Island Golf Resorts | WTG Transform 2019


 

>> Massachusetts, it's theCUBE! Covering WTG Transform 2019. Brought to you by Winslow Technology Group. >> Welcome back, I'm Stu Miniman, and we're here at WTG Transform 2019, across the Mass Pike from Fenway Park where we're hoping the rain's going to stop in time for the game tonight where we have 189 users here with Winslow Technology, digging in a lot of technology, networking with their peers, and I'm thrilled to have on another one of the ED users on the program. Plamen Dimitrov is director of Information Technology at Kiawah Island Golf Resorts coming to us from South Carolina. Thank you so much for joining us. >> Thank you for having me. >> All right, as I was actually telling you, I'm familiar with Kiawah, my father is retired down to John's Island right off of Charlestown, South Carolina. You have a beautiful golf course there, there've been professional events there, we actually have one of our Cubeos, does some PGA coverage, John Walls, so he and I have talked about Kiawah a few times, but for those of our audience that aren't as familiar, haven't been able to enjoy it, tell us a little bit about Kiawah. >> Kiawah is a beautiful island, over about 10 miles of oceanfront, side, where the Kiawah Golf Resort is spread out. We have different accommodations with a lot of different activities for all ages, starting with the Sanctuary Hotel, which is a Five Star by Forbes and a Five Diamond by AAA. Or you can choose any of our villas from one to eight bedroom villas. We have five beautiful golf courses, which one of them is ocean course, previously hosted Ryder Cup in 1991, and PGA in 2012, and we are also proud to be a host of the PGA 2021, very exciting. Apart of that, we are announced to be Tennis Resort #1 in the world by tennisresortonline.com. We have over 22 tennis course, different variations from car course to clay. On top of that, we have a lot of pools, swimming pools, water parks, a lot of recreation, kayaking. It can be a beautiful journey for any visitors. >> Yeah, so, Plamen I know some of the IT people listening to this are going to be like, "Boy, he's got a tough job there!" Sounds gorgeous, right on the ocean, so many things there, bring us a little bit inside the IT, your world, what that entails, and, boy, there's got to be some different challenges and opportunities that you face, versus the kind of traditional business IT. >> As every island, we have all of our friends, like salty water and all things like that. And besides that, I've mentioned that the company's spread out over 10 miles, we have a total of 23 locations, and all they share the same systems and applications. Our current challenges, from an IT standpoint, are things that not all of the vendors that can keep up with the current technology and the all new and moderns, so we have some, what we call, old school applications, they can't keep up, and then you have the new applications that can be hosted on the Cloud, for instance. In the same time, those applications need to somewhat work with each other and have some interfaces, so this is where we face the, these days a challenge, a little bit, and where our partnership with Winslow, were able to help us determine which is the best route for us. And we determined that having a data center on island, and they have another one off the island, is the best for us to go. They helped us go through the planning of what's the right set up to be used, and I think we're in the right direction. >> Okay, great, so you have two data centers and you're also using Cloud services, if I heard right? >> Correct. >> Okay. There's been a big discussion here, is like, all right, what is the Cloud's strategy and it is an ever changing world and there is no one right answer, so, when you look at yourselves, what is your Cloud strategy today and what makes you help determine where you'll be moving in the future? >> In one of the sessions, they mentioned it's all about checks and balance, and it's to be able to measure how to apply your cash in a way that it makes sense, and one day, maybe, for some applications makes sense to be on premise, another day makes sense to bring it on the Cloud. And I can give you an example, recently what we did was, we were looking into switching to Office 365, pretty much everybody knows about it, and there's a good study that, after you go over a certain threshold, it's much easier to, and much more cost effective, to have something on premise versus going to a Cloud version. Now, again, it depends on the size of the company, it depends on the... Your future projects and goals, for some people it may be different than us. But I think that the future more and more, things will be what's called colocating the Cloud, which is mainly by other providers, and we're going to have two called a key that you can get to those applications from anywhere. >> Plam, bring us inside a little bit that the data centers, you said you have two of them, what's your infrastructure stack look like today? >> We've been looking at the various solutions, hyper-converged, and hybrids, and with the help of Winslow, we determined that sticking to the 3-2-1 traditional solution is the way we go. We use their Compellent products, all flash erase, very flexible and very reliable, very nice speed it provides, performance-wise they're a great product. Then, after that story solution, you have two data switches and then a number of servers. We use, on top of that, the VMware as our hypervisor, along with their VDI environment called Horizon for some remote clients that they don't need much, but that's basically our setup. >> Great, and how long have you been using the Compellent solutions? >> The Compellent solutions, we've been using them for a year and a half, since I joined the company, but my relationship with Winslow goes far back, since 2013 where I used to work for another company here in Nantucket. And the very first person I worked with was John Cliffords from Winslow. Very great guy, and he introduced us to the Dell world. This is when we bought the first EqualLogic and afterwards, I went to Belmont, where we also bought (mumbles), and we just keep going along. >> All right, great, Plamen, last question I have for you, what brings you to an event like this, what were you hoping to get out of it, and how's it been going for you so far? >> Well, what brings me to an event like this, most of the time is on one side to see what Dell has to offer, and some people attend, they'll conference, but I think a place like this, where you have smaller scale conference, it's much more beneficial for me. A, from a learning experience and B, from creating connections, making connections with other users, which this is the best because sales rep can say, "Yeah, this is what you need." But then, from a user perspective, it's priceless to absorb experience. >> All right, well, Plamen Dimitrov, I really appreciate you sharing your journey, and everything that Kiawah Golf Resorts is doing, thank you so much. >> Thank you very much. >> All right, we'll be back with more coverage here from WTG Transform 2019, I'm Stu Miniman, thanks for watching theCUBE. (funky electro music)

Published Date : Jun 21 2019

SUMMARY :

Brought to you by Winslow Technology Group. for the game tonight where we have 189 users here to John's Island right off of Charlestown, South Carolina. and we are also proud to be a host of the PGA 2021, and opportunities that you face, and where our partnership with Winslow, and what makes you help determine and it's to be able to measure and with the help of Winslow, and we just keep going along. where you have smaller scale conference, and everything that Kiawah Golf Resorts is doing, All right, we'll be back with more coverage here

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Odded Solomon, VMware & Jared Woodrey, Dell Technologies | MWC Barcelona 2023


 

>> Narrator: theCUBE's live coverage is made possible by funding from Dell Technologies. Creating technologies that drive human progress. (upbeat music) >> Welcome back to Barcelona, Spain, everyone. It's theCUBE live at MWC '23, day three of four days of CUBE coverage. It's like a cannon of CUBE content coming right at you. I'm Lisa Martin with Dave Nicholson. We've got Dell and VMware here. Going to be talking about the ecosystem partnerships and what they're doing to further organizations in the telco industry. Please welcome Jared Woodrey, Director of Partner Engineering Open Telecom Ecosystem Lab, OTEL. Odded Solomon is here as well, Director of Product Management, VMware Service Provider and Edge Business Unit at VMware. Guys, great to have you on the program. >> Thank you for having me. >> Welcome to theCUBE. So Jared, first question for you. Talk about OTEL. I know there's a big announcement this week, but give the audience context and understanding of what OTEL is and how it works. >> Sure. So the Open Telecom Ecosystem Lab is physically located at Round Rock, Texas, it's the heart and soul of it. But this week we also just announced opening up the Cork, Ireland extension of OTEL. The reason for our existence is to to try and make it as easy as possible for both partners and customers to come together and to re-aggregate this disaggregated ecosystem. So that comes with a number of automation tools and basically just giving a known good testing environment so that tests that happen in our lab are as close to real world as they possibly can be and make it as transparent and open as possible for both partners like VMware as well as customers. >> Odded, talk about what you're doing with Dell and OTEL and give us a customer example of maybe one that you're working with or even even mentioning it by a high level descriptor if you have to. >> Yeah. So we provide a telco cloud platform, which is essentially a vertical in VMware. The telco cloud platform is serving network function vendors, such as Ericsson, Nokia, Mavenir, and so on. What we do with Dell as part of this partnership is essentially complementing the platform with some additional functionality that is not coming out of the box. We used to have a data protection in the past, but this is no longer our main business focus. So we do provide APIs that we can expose and work together with Dell PPDM solution so customer can benefit from this and leverage the partnership and have overall solution that is not coming out of the box from VMware. >> I'm curious, from a VMware perspective. VMware is associated often with the V in VMware, virtualization, and we've seen a transition over time between sort of flavors of virtualization and what is the mix currently today in the telecom space between environments that are leveraging what we would think of as more traditional virtualization with full blown Linux, Windows operating systems in a VM versus the world of containerized microservices? What does that mix look like today? Where do you see it going? >> Yeah, so the VMware telco cloud platform exists for about eight years. And the V started around that time. You might heard about open stack in addition to VMware. So this has definitely helped the network equipment providers with virtualizing their network functions. Those are typically VNF, virtualized network functions, inside the VMs. Essentially we have 4G applications, so core applications, EPC, we have IMS. Those are typically, I would say maybe 80 or 90% of the ecosystem right now. 5G is associated with cloud native network functions. So 5G is getting started now, getting deployed. There is an exponential growth on the core side. Now, when we expand towards the edge of the network we see more potential growth. This is 5G ran, we see the vRAN, we see the open RAN, we see early POCs, we see field trials that are starting. We obviously has production customer now. You just spoke to one. So this is really starting, cloud native is really starting I would say about 10 to 20% of the network functions these days are cloud native. >> Jared, question for you. You mentioned data protection, a huge topic there obviously from a security perspective. Data protection used to be the responsibility of the CSPs. You guys are changing that. Can you talk a little bit about how you're doing that and what Dell's play there is? >> Yeah, so PowerProtect Data Management is a product, but it's produced by Dell. So what this does is it enables data protection over virtual cloud as well as the physical infrastructure of specifically in this case of a telecoms ecosystem. So what this does is enables an ability to rapidly redeploy and back up existing configurations all the way up to the TCP and TCA that pulls the basis of our work here with VMware. >> So you've offloaded that responsibility from the CSPs. You freed them from that. >> So the work that we did, honestly was to make sure that we have a very clear and concise and accurate procedures for how to conduct this as well. And to put this through a realistic and real world as if it was in a telecoms own production network, what did that would actually look like, and what it would take to bring it back up as well. So our responsibility is to make sure that when we when we provide these products to the customers that not only do they work exactly as their intended to, but there is also documentation to help support them and to enable them to have their exact specifications met by as well. >> Got it. So talk about a little bit about OTEL expansion into Cork. What you guys are doing together to enable CSPs here in EMEA? >> Yeah, so the reason why we opened up a facility in Cork Island was to give, for an EMEA audience, for an EMEA CSPs and ability to look and feel and touch some of the products that we're working on. It also just facilitates and ease especially for European-based partners to have a chance to very easily come to a lab environment. The difference though, honestly, is the between Round Rock, Texas and Cork Island is that it's virtually an extension of the same thing. Like the physical locations can make it easier to provide access and obviously to showcase the products that we've developed with partners. But the reality is that it's more than just the physical location. It's more about the ability and ease by which customers and partners can access the labs. >> So we should be expecting a lot of Tito's vodka to be consumed in Cork at some point. Might change the national beverage. >> We do need to have some international exchange. >> Yeah, no, that's good to know. Odded, on the VMware side of things. There's a large group of folks who have VMware skillsets. >> Odded: Correct. >> The telecom industry is moving into this world of the kind of agility that those folks are familiar with. How do people come out of the traditional VMware virtualization world and move into that world of cloud native applications and serve the telecom space? What would your recommendation be? If you were speaking at a VMUG, a VMware Users Group meeting with all of your telecom background, what would you share with them that's critical to understand about how telecom is different, or how telecom's spot in its evolution might be different than the traditional IT space? >> So we're talking about the people with the knowledge and the background of. >> Yeah, I'm a V expert, let's say. And I'm looking into the future and I hear that there are 80,000 people in Barcelona at this event, and I hear that Dell is building optimized infrastructure specifically for telecom, and that VMware is involved. And I'm an expert in VMware and I want to be involved. What do I need to do? I know it's a little bit outside of the box question, but especially against the backdrop of economic headwinds globally, there are a lot of people facing transitions. What are your thoughts there? >> So, first of all, we understand the telco requirements, we understand the telco needs, and we make sure that what we learn from the customers, what we learn from the partners is being built into the VMware products. And simplicity is number one thing that is important for us. We want the customer experience, we want the user experience to be the same as they know even though we are transitioning into cloud native networks that require more frequent upgrades and they have more complexity to be honest. And what we do in our vertical inside VMware we are focusing on automation, telco cloud automation, telco cloud service assurance. Think of it as a wrapper around the SDDC stack that we have from VMware that really simplifies the operations for the telcos because it's really a challenge about skillset. You need to be a DevOps, SRE in order to operate these networks. And things are becoming really complex. We simplify it for them with the same VMware experience. We have a very good ability to do that. We sell products in VMware. Unlike our competition that is mostly selling professional services and support, we try to focus more on the products and delivering the value. Of course, we have services offering because telcos requires some customizations, but we do focus on automation simplicity throughout our staff. >> So just follow up. So in other words the investment in education in this VMware ecosystem absolutely can be extended and applied into the telecom world. I think it's an important thing. >> I was going to add to that. Our engagement in OTEL was also something that we created a solutions brief whether we released from Mobile World Congress this week. But in conjunction with that, we also have a white paper coming out that has a much more expansive explanation and documentation of what it was that we accomplished in the work that we've done together. And that's not something that is going to be a one-off thing. This is something that will stay evergreen that we'll continue to expand both the testing scope as well as the documentation for what this solution looks like and how it can be used as well as documentation on for the V experts for how they can then leverage and realize the the potential for what we're creating together. >> Jared, does Dell look at OTEL as having the potential to facilitate the continued evolution of the actual telco industry? And if so, how? >> Well, I mean, it would be a horrible answer if I were to say no to that. >> Right. >> I think, I honestly believe that one of the most difficult things about this idea of having desired ecosystem is not just trying to put it back together, but then also how to give yourself choice. So each time that you build one of those solution sets like that exists as an island out of all the other possibilities that comes with it. And OTEL seeks to not just be able to facilitate building that first solution set. Like that's what solutions engineering can do. And that's generally done relatively protected and internally. The Open Telecom Ecosystem seeks to build that then to also provide the ability to very easily change specific components of that whether that's a hardware component, a NIC, whether a security pass just came out or a change in either TCP or TCA or we talked a little bit about for this specific engagement that it was done on TCP 2.5. >> Odded: Correct. >> Obviously there's already a 2.7 and 3.0 is coming out. It's not like we're going to sit around and write our coattails of what 2.7 has happened. So this isn't intended to be a one and done thing. So when we talk about trying to make that easier and simpler and de-risk all of the risk that comes from trying to put all these things together, it's not just the the one single solution that you built in the lab. It's what's the next one? And how do I optimize this? And I have specific requirements as a CSP, how can I take something you built that doesn't quite match it, but how do I make that adjustment? So that's what we see to do and make it as easy and as painless as possible. >> What's the engagement model with CSPs? Is it led by Dell only, VMware partner? How does that work? >> Yeah, I can take that. So that depends on the customer, but typically customers they want to choose the cloud vendor. So they come to VMware, we want VMware. Typically, they come from the IT side. They said, "Oh, we want to manage the network side of the house the same way as we manage the IT. We don't want to have special skill sets, special teams." So they move from the IT to the network side and they want VMware there. And then obviously they have an RSP process and they have hardware choices. They can go with Dell, they can go with others. We leverage vSphere, other compatibility. So we can be flexible with the customer choice. And then depending on which customer, how large they are, they select the network equipment provider that the runs on top. We position our platform as multi-vendor. So many of them choose multiple network functions providers. So we work with Dell. So assuming that the customer is choosing Dell. We work very closely with them, offering the best solution for the customer. We work with them sometimes to even design the boxes to make sure that it fits their use cases and to make sure that it works properly. So we have a partnership validation certification end-to-end from the applications all the way down to the hardware. >> It's a fascinating place in history to be right now with 5G. Something that a lot of consumers sort of assume. It's like, "Oh, hey, yeah, we're already there. What's the 6G thing going to look like?" Well, wait a minute, we're just at the beginning stages. And so you talk about disaggregation, re-aggregation, or reintegration, the importance of that. Folks like Dell have experience in that space. Folks at VMware have a lot of experience in the virtualization space, but I heard that VMware is being acquired by Broadcom, if it all goes through, of course. You don't need to comment on it. But you mentioned something, SDDC, software-defined data center. That stack is sometimes misunderstood by the public at large and maybe the folks in the EU, I will editorialize for a moment here. It is eliminating capture in a way by larger hyperscale cloud providers. It absolutely introduces more competition into the market space. So it's interesting to hear Broadcom acknowledging that this is part of the future of VMware, no matter what else happens. These capabilities that spill into the telecom space are something that they say they're going to embrace and extend. I think that's important for anyone who's evaluating this if they're concern. Well, wait a minute. Yeah, when I reintegrate, do I want VMware as part of this mix? Is that an unknown? It's pretty clear that that's something that is part of the future of VMware moving forward. That's my personal opinion based on analysis. But you brought up SDDC, so I wanted to mention that. Again, I'm not going to ask you to get into trouble on that at all. What should we be, from a broad perspective, are there any services, outcomes that are going to come out of all of this work? The agility that's being built by you folks and folks in the open world. Are there any specific things that you personally are excited about? Or when we think about consumer devices, getting data, what are the other kinds of things that this facilitates? Anything cool, either one of you. >> So specific use cases? >> Yeah, anything. It's got to be cool though. If it's not cool we're going to ask you to leave. >> All right. I'll take that challenge. (laughs) I think one of the things that is interesting for something like OTEL as an exist, as being an Open Telecom Ecosystem, there are going to be some CSPs that it's very difficult for them to have this optionality existing for themselves. Especially when you start talking about tailoring it for specific CSPs and their needs. One of the things that becomes much more available to some of the smaller CSPs is the ability to leverage OTEL and basically act as one of their pre-production labs. So this would be something that would be very specific to a customer and we would obviously make sure that it's completely isolated but the intention there would be that it would open up the ability for what would normally take a much longer time period for them to receive some of the benefits of some of the changes that are happening within the industry. But they would have immediate benefit by leveraging specifically looking OTEL to provide them some of their solutions. And I know that you were also looking for specific use cases out of it, but like that's a huge deal for a lot of CSPs around the world that don't have the ability to lay out all the different permutations that they are most interested in and start to put each one of those through a test cycle. A specific use cases for what this looks like is honestly the most exciting that I've seen for right now is on the private 5G networks. Specifically within mining industry, we have a, sorry for the audience, but we have a demo at our booth that starts to lay out exactly how it was deployed and kind of the AB of what this looked like before the world of private 5G for this mining company and what it looks like afterwards. And the ability for both safety, as well as operational costs, as well as their ability to obviously do their job better is night and day. It completely opened up a very analog system and opened up to a very digitalized system. And I would be remiss, I didn't also mention OpenBrew, which is also an example in our booth. >> We saw it last night in action. >> We saw it. >> I hope you did. So OpenBrew is small brewery in Northeast America and we basically took a very manual process of checking temperature and pressure on multiple different tanks along the entire brewing process and digitized everything for them. All of that was enabled by a private 5G deployment that's built on Dell hardware. >> You asked for cool. I think we got it. >> Yeah, it's cool. >> Jared: I think beer. >> Cool brew, yes. >> Root beer, I think is trump card there. >> At least for folks from North America, we like our brew cool. >> Exactly. Guys, thank you so much for joining Dave and me talking about what Dell, OTEL, and VMware are doing together, what you're enabling CSPs to do and achieve. We appreciate your time and your insights. >> Absolutely. >> Thank you. >> All right, our pleasure. For our guests and for Dave Nicholson, I'm Lisa Martin. You watching theCUBE live from MWC '23. Day three of our coverage continues right after a short break. (upbeat music)

Published Date : Mar 1 2023

SUMMARY :

that drive human progress. in the telco industry. but give the audience context So the Open Telecom Ecosystem Lab of maybe one that you're working with that is not coming out of the box. and what is the mix currently of the network functions responsibility of the CSPs. that pulls the basis of responsibility from the CSPs. So the work that we did, to enable CSPs here in EMEA? and partners can access the labs. Might change the national beverage. We do need to have some Odded, on the VMware side of things. and serve the telecom space? So we're talking about the people and I hear that there are 80,000 people that really simplifies the and applied into the telecom world. and realize the the potential Well, I mean, it would that one of the most difficult and simpler and de-risk all of the risk So that depends on the customer, that is part of the future going to ask you to leave. that don't have the ability to lay out All of that was enabled I think we got it. we like our brew cool. CSPs to do and achieve. You watching theCUBE live from MWC '23.

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Steve Mullaney, Aviatrix | AWS re:Inforce 2022


 

>>We're back in Boston, the Cube's coverage of AWS reinforced 2022. My name is Dave ante. Steve Malanney is here as the CEO of Aviatrix longtime cube alum sort of collaborator on super cloud. Yeah. Uh, which we have an event, uh, August 9th, which you guys are participating in. So, um, thank you for that. And, yep. Welcome to the cube. >>Yeah. Thank you so great to be here as >>Always back in Boston. Yeah. I'd say good show. Not, not like blow me away. We were AWS, um, summit in New York city three weeks ago. I >>Took, heard it took three hours to get in >>Out control. I heard, well, there were some people two I, maybe three <laugh>, but there was, they expected like maybe nine, 10,000, 19,000 showed up. Now it's a free event. Yeah. 19,000 people. >>Oh, I didn't know it >>Was that many. It was unbelievable. I mean, it was packed. Yeah. You know, so it's a little light here and I think it's cuz you know, everybody's down the Cape, >>There are down the Cape, Rhode Island that's after the fourth. The thing is that we were talking about this. The quality of people are pretty good though. Yeah. Right. This is there's no looky lose it's everybody. That's doing stuff in cloud. They're moving in. This is no longer, Hey, what's this thing called cloud. Right. I remember three, four years ago at AWS. You'd get a lot of that, that kind of stuff. Some the summit meetings and things like that. Now it's, we're a full on deployment mode even >>Here in 2019, the conversation was like, so there's this shared responsibility model and we may have to make sure you understand. I mean, nobody's questioning that today. Yeah. It's more really hardcore best practices and you know how to apply tools. Yeah. You know, dos and don't and so it's a much more sophisticated narrative, I think. Yeah. >>Well, I mean, that's one of the things that Aviatrix does is our whole thing is architecturally. I would say, where does network security belong in the network? It shouldn't be a bolt on it. Shouldn't be something that you add on. It should be something that actually gets integrated into the fabric of the network. So you shouldn't be able to point to network security. It's like, can you point to the network? It's everywhere. Point to air it's everywhere. Network security should be integrated in the fabric and that wasn't done. On-prem that way you steered traffic to this thing called a firewall. But in the cloud, that's not the right architectural way. It it's a choke point. Uh, operationally adds tremendous amount of complexity, which is the whole reason we're going to cloud in the first place is for that agility and the ability to operationally swipe the card and get our developers running to put in these choke points is completely the wrong architecture. So conversations we're having with customers is integrate that security into the fabric of the network. And you get rid of all those, all those operational >>Issues. So explain that how you're not a, a checkpoint, but if you funnel everything into one sort of place >>In the, so we are a networking company, uh, it is uh, cloud networking company. So we, we were born in the cloud cloud native. We, we are not some on-prem networking solution that was jammed in the cloud, uh, wrapped >>In stack wrapped >>In, you know, or like that. No, no, no. And looking for wires, right? That's VM series from Palo. It doesn't even know it's in the cloud. Right. It's looking for wires. Um, and of course multicloud, cuz you know, Larry E said now, could you believe that on stage with sat, Nadela talking about multi-cloud now you really know we've crossed over to this is a, this is a thing, whoever would've thought you'd see that. But anyway, so we're networking. We're cloud networking, of course it's multi-cloud networking and we're gonna integrate these intelligent services into the fabric. And one of those is, is networking. So what happens is you should do security everywhere. So the place to do it is at every single point in the network that you can make a decision and you embed it and actually embed it into the network. So it's that when you're making a decision of does that traffic need to go somewhere or not, you're doing a little bit of security everywhere. And so what, it looks like a giant firewall effectively, but it's actually distributed in software through every single point in a network. >>Can I call it a mesh? >>It's kind of a mesh you can think of. Yeah, it's a fabric. >>Okay. It's >>A, it's a fabric that these advanced services, including security are integrated into that fabric. >>So you've been in networking much of >>Your career career, >>37 years. All your career. Right? So yay. Cisco Palo Alto. Nicera probably missing one or two, but so what do you do with all blue coat? Blue coat? What do you do with all that stuff? That's out there that >>Symantics. >>Yes. <laugh> keep going. >>Yeah, I think that's it. That's >>All I got. Okay. So what do you do with all that stuff? That's that's out there, you rip and replace it. You, >>So in the cloud you mean yeah. >>All this infrastructure that's out there. What is that? Well, you >>Don't have it in the right. And so right now what's happening is people, look, you can't change too many things. If you're a human, you know, they always tell you don't change a job, get married and have a kid or something all in the same year. Like they just, just do one of 'em cuz you it's too much. When people move to the cloud, what they do is they tend to take what they do on Preem and they say, look, I'm gonna change one thing. We're gonna go to the cloud, everything else. I'm gonna keep the same. Cuz I don't wanna change three things. So they kind of lift and shift their same mentality. They take their firewalls, their next gen fire. I want them, they take all the things that they currently do. And they say, I'm gonna try to do that in the cloud. >>It's not really the right way to do it. But sometimes for people that are on-prem people, that's the way to get started and I'll screw it up and not screw it up and, and not change too many things. And look, I'm just used to that. And, and then I'll, then I'll go to change things, to be more cloud native, then I'll realize I can get rid of this and get rid of that and do that. But, but that's where people are. The first thing is bring these things over. We help them do that, right? From a networking perspective, I'll make it easier to bring your old security stuff in. But in parallel to that, we start adding things into the fabric and what's gonna happen is eventually we start adding all these things and things that you can't do separately. We start doing anomaly detection. We start doing behavioral analysis. Why? Because the entire network, we are the data plan. We see everything. And so we can start doing things that a standalone device can't do because not all the traffic steered to them. It can only control what's steered to you. And then eventually what's happening is people look at that device. And then they look at us and then they look at the device and they look at us and they go, why do I have both of this? And we go, I don't know. >>You don't need it. >>Well, can I get rid of that other thing? That's a tool. >>Sure. And there's not a trade off. There's not a trade off. You >>Don't have to. No. Now people rid belts and suspenders. Yeah. Cause it's just, who has, who has enough? Who has too much security buddy? They're gonna, they're gonna do belt suspenders. You know anything they can do. But eventually what will happened is they'll look at what we do and they'll go, that's good enough. That happened to me. When I was at Palo Alto networks, we inserted as a firewall. They kept their existing firewall. They had all these other devices and eventually all those went away and you just had a NextGen >>Firewall just through attrition, >>Through Atian. You're like, you're looking, you go, well, that platform is doing all these functions. Same. Thing's gonna happen to us. The platform of networking's gonna do all your network security devices. So any tool or agent or external, you know, device that you have to steer traffic to ISS gonna go away. You're not gonna need it. >>And, and you talking multi-cloud obviously, >>And then don't wanna do the same thing. Whether man Azure, you know the same. >>Yeah. >>Same, same experie architecture, same experience, same set of services. True. Multi-cloud native. Like you, that's what you want. And oh, by the way, skill, gap, skill shortage is a real thing. And it's getting worse. Cause now with the recession, you think you're gonna be able to add more people. Nope. You're gonna have less people. How do I do this? Any multicloud world with security and all this kind of stuff. You have to put the intelligence in the software, not on your people. Right? >>So speaking of recession. Yep. As a CEO of a well funded company, that's got some momentum. How are you approaching it? Do you have like, did you bring in the war time? Conig I mean, you've been through, you know, downturns before. This is you are you >>I'm on war time already. >>Okay. So yeah. Tell me more about how you you're kind of approaching this >>So recession down. So didn't change what we were doing one bit, because I run it that way from the very beginning. So I've been around 30 years, that's >>Told me he he's like me. You know what he said? >>Yeah. Or maybe >>I'm like, I want be D cuz he said, you know, people talk about, you know, only do things that are absolutely necessary during times like this. I always do things that are only, >>That's all I >>Do necessary. Why would you ever do things that aren't necessary? >><laugh> you'd be surprised. Most companies don't. Yeah. Uh, recession's very good for people like snowflake and for us because we run that way anyway. Mm-hmm <affirmative> um, I, I constantly make decisions that we have to go and dip there's people that aren't right for the business. I move 'em out. Like I don't wait for some like Sequoia stupid rest in peace. The world's ending fire all your people that has no impact on me because I already operated that way. So we, we kind of operate that way and we are, we are like sat Nadel even came out and kind of said, I don't wanna say cloud is recession proof, but it kind of is, is we are so look, our top customer spends 5 million a year. Nothing. We haven't even started yet. David that's minuscule. We're not macro. We're micro 5 million a year for these big enterprises is nothing right. SA Nadel is now starting to count people who do billion dollar agreements with him billion over a period of number of years. Like that's the, the scale we have not even >>Gun billion dollar >>Agreements. We haven't even under begun to understand the scope of what's happening in the cloud. Right. And so yeah, the recession's happening. I don't know. I guess it's impacting somebody. It's not impacting me. It's actually accelerating things because it's a flight to quality and customers go and say, I can't get gear on on-prem anyway, cuz of the, uh, shortage, you know, the, uh, uh, get chips. Um, and that's not the right thing. So guess what the recession says, I'm gonna stop spending more money there and I'm gonna put it into the cloud. >>All right. So you opened up Pandora's box, man. I wanna ask you about your sort of management philosophy. When you come into a company to take, to go lead a company like that. Yeah. How, what, what's your approach to assess the team? Who do you, who do you decide? How do you decide who to keep on the bus? Who to throw off the bus put in the right seats. So how long does that take you? >>Doesn't take long. When I join, we were 30, 30, 8 people. We're now 525. Um, and my view on everything and I I've never met Frank Lubin, but I guarantee you, he has the same philosophy. You have a one year contract me included next year, the board might come to me and say, you were the right CEO for this year. You're not next year. Ben Horowitz taught me that it's a one year contract. There's no multi-year contract. So everybody in the company, including the CEO has a one year >>Contract. So you would say that to the board. Hey, if you can find somebody better, >>If, and, and you know what, I'll be the first one to pull myself, fire myself and say, we're, we're replacing me with somebody better right now. There isn't anybody better. So it's me. So, okay, next year maybe there's somebody better. Or we hit a certain point where I'm not the right guy. I'll I'll, I'll pull myself out as the CEO, but also internally the same thing just because you're the right guy this year. And we hire people for the, what you need to do this year. We're not gonna, we don't hire, oh, like this is the mistake. A lot of companies make, well, we wanna be a billion dollars in sales. So we're gonna go hire some loser from HPE. Who's worked at a company for a billion dollars. And by the way has no idea how they became a billion dollars, right. In revenue or billions of dollars. >>But we're gonna go hire 'em because they must know more than we do. And what every single time you bring them in what you realize, they're idiots. They have no idea how we got to that. And so you, you don't pre-hire for where you want to be. You hire for where you are that year. And then if it's not right, and then if it's not right, you'd be really nice to them. Have great severance packages, be, be respectful for people and be honest with them. I guarantee you Frank, Salman's not, if you're not just have this conversation with a sales guy before I came into here, very straight conversation, Northeast hockey player mentality. We're straight. If you're not working out or I don't think you're doing things right. You're gonna know. And so it's a one year, it's a one year contract. That's what you do. So you don't have time. You don't the luxury of >>Time. So, so that's probably the hardest part of, of any leadership job is, and people don't like confrontation. They like to put it off, but you don't run away from it. It's >>All in a confrontation, right? That's what relationships have built. Why do war buddies hang out with each other? Cuz they've gone through hell, right? It's in the confrontation. And it's, it's actually with customers too, right? If there's an issue, you don't run from it. You actually bring it up in a very straightforward manner and say, Hey, we got a problem, right? They respect you. You respect them, blah, blah, blah. And then you come out of it and go, you know, you have to fight like, look with your wife. You have to fight. If you don't fight, it's not a relationship you've gotta see in that, in that tension is where the relationship's >>Built. See, I should go home and have a fight tonight. You gotta have a fight with your wife. <laugh> you know, you mentioned Satia and Nadella and Larry Ellison. Interesting point. I wanna come back to that. What Oracle did is actually pretty interesting, do we? For their use case? Yeah. You know, it's not your thing. It's like low latency database across clouds. Yeah. Who would ever thought that? But >>We love it. We love it because it drives multi-cloud it drives. Um, and, and, and I actually think we're gonna have multi-cloud applications that are gonna start happening. Um, right now you don't, you have developers that, that, that kind of will use one cloud. But as we start developing and you call it the super cloud, right. When that starts really happening, the infrastructure's gonna allow that networking and network security is that bottom layer that Aviatrix helps once that gets all handled. The app, people are gonna say, so there's no friction. So maybe I can use autonomous database here. I can use this service from GCP. I can use that service and, and put it all into one app. So where's the app run. It's a multicloud app. Doesn't exist today. >>No, that doesn't happen today. >>It's it's happen. It's gonna happen. >>But that's kind of what the vision was. No, seven, eight years ago of what >>It's >>Gonna, that would be, you know, the original premise of hybrid. Right? Right. Um, I think Chuck Hollis, the guy was at EMC at the time he wrote this piece on, he called it private cloud, but he was really describing hybrid cloud application and running in both places that never happened. But it's starting to, I mean, the infrastructure is getting put in place to enable that, I guess is what you're saying. >>Yep. >>Yeah. >>Cool. And multicloud is, is becoming not just four plus one is a lot of enterprises it's becoming plus one, meaning you're gonna have more and more. And then there won't be infrastructure clouds like AWS and so forth, but it's gonna be industry clouds. Right? You've you've talked about that again, back to super clouds. You're gonna have Goldman Sachs creating clouds and you're gonna have AI companies creating clouds. You're gonna have clouds at the edge, you know, for edge computing and all these things all need to be networked with network security integrated. And you mentioned fact >>Aviatrix you mentioned Ben Horowitz, that's mark Andreesen. All, all companies are software companies. All companies are becoming cloud companies. Yeah. Or, or they're missing missing opportunities or they might get disrupted. >>Yeah. Every single company I talk to now, you know, whether you're Heineken, they don't think of themselves as a beer company anymore. We are the most technologically, you know, advanced brewer in the world. Like they all think they're a technology company. Now, whether you're making trucks, whether you're making sneakers, whether you're making beer, you're now a technology company, every single company in >>The world, we are too, we're we're building a media cloud. You're you know, John's, it's a technology company laying that out and yeah. That's we got developers doing that. That's our, that's our future. Yep. You know? Cool. Hey, thanks for coming on, man. Thank you. Great to see you. Thank you for watching. Keep it right there. We'll be back right after this short break. It keeps coverage. AWS reinforced 20, 22 from Boston. Keep it right there. >>You tired? How many interviewed.

Published Date : Jul 27 2022

SUMMARY :

So, um, thank you for that. I I heard, well, there were some people two I, maybe three <laugh>, but there was, You know, so it's a little light here and I think it's cuz you know, There are down the Cape, Rhode Island that's after the fourth. and you know how to apply tools. So you shouldn't be able to point to network security. So explain that how you're not a, a checkpoint, but if you funnel everything into one sort of place So we, we were born in the cloud cloud native. So the place to do it is at every single point in the network that you can make a decision and It's kind of a mesh you can think of. probably missing one or two, but so what do you do with all blue coat? That's That's that's out there, you rip and replace it. Well, you And so right now what's happening is people, look, you can't change too many things. we start adding all these things and things that you can't do separately. Well, can I get rid of that other thing? You They had all these other devices and eventually all those went away and you just So any tool or agent or external, you know, Whether man Azure, you know the same. you think you're gonna be able to add more people. This is you are you Tell me more about how you you're kind of approaching this So didn't change what we were doing one bit, because I run it that way from You know what he said? I'm like, I want be D cuz he said, you know, people talk about, you know, only do things that are absolutely necessary Why would you ever do things that aren't necessary? that we have to go and dip there's people that aren't right for the business. cuz of the, uh, shortage, you know, the, uh, uh, get chips. I wanna ask you about your sort of management philosophy. So everybody in the So you would say that to the board. And we hire people for the, what you need to do this year. And what every single time you bring them in what you realize, They like to put it off, but you don't run away from it. And then you come out of it and go, you know, you have to fight like, look with your wife. <laugh> you know, you mentioned Satia But as we start developing and you call it the super cloud, It's it's happen. But that's kind of what the vision was. Gonna, that would be, you know, the original premise of hybrid. You're gonna have clouds at the edge, you know, for edge computing and all these things all need to be networked Aviatrix you mentioned Ben Horowitz, that's mark Andreesen. We are the most technologically, you know, advanced brewer in the world. You're you know, John's, it's a technology company laying that out and yeah. You tired?

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Dante Orsini, Justin Giardina, and Brett Diamond | VeeamON 2022


 

we're back at vemma in 2022 we're here at the aria hotel in las vegas this is thecube's continuous coverage we're day two welcome to the cxo session we have ceo cto cso chief strategy officer brett diamond is the ceo justin jardina is the cto and dante orsini is the chief strategy officer for 11 11 systems recently named i guess today the impact cloud service provider of the year congratulations guys welcome thank you welcome back to the cube great to see you again thank you great likewise so okay brett let's start with you tell give us the overview of 11 1111 uh your focus area talk about the the the island acquisition what that what that's all about give us the setup yeah so we started 11-11 uh really with a focus on taking the three core pillars of our business which are cloud connectivity and security bring them together into one platform allowing a much easier way for our customers and our partners to procure those three solution sets through a single company and really focus on uh the three main drivers of the business uh which you know have a litany of other services associated with them under each platform okay so so justin cloud connectivity and security they all dramatically changed in march of 2020 everybody had to go to the cloud the rather rethink the network had a secure remote worker so what did you see from a from a cto's perspective what changed and how did 11 respond sure so early on when we built our cloud even back into 2008 we really focused on enterprise great features one of which being uh very flexible in the networking so we found early on was that we would be able to architect solutions for customers that were dipping their toe in the cloud and set ourselves apart from some of the vendors at the time so if you fast forward from 2008 until today we still see that as a main component for iaz and draz and the ability to start taking into some of the things brett talked about where customers may need a point-to-point circuit to offload data connectivity to us or develop sd-wan and multi-cloud solutions to connect to their resources in the cloud in my opinion it's just the natural progression of what we set out to do in 2008 and to couple that with the security um if you think about what that opens up from a security landscape now you have multiple clouds you have different ingress and egress points you have different people accessing workloads in each one of these clouds so the idea or our idea is that we can layer a comprehensive security solution over this new multi-cloud networking world and then provide visibility and manageability to our customer base so what does that mean specifically for your customers because i mean we saw obviously a rapid move toward endpoint um cloud security uh identity access you know people really started thinking rethinking that as opposed to trying to just you know build a moat around the castle right um what does that mean for for your customer you take care of all that you partner with whomever you need to partner in the ecosystem and then you provide the managed service how does that work right it does and that's a great analogy you know we have a picture of a hamburger in our office exploded with all the components and they say a good security policy is all the pieces and it's really synonymous with what you said so to answer your question yes we have all that baked in the platform we can offer managed services around it but we also give the consumer the ability to access that data whether it's a ui or api so dante i know you talk to a lot of customers all you do is watch the stock market go like this and like that you say okay the pandemic drove all these but but when you talk to csos and customers a lot of things are changing permanently first of all they were forced to march to digital when previously they were like we'll get there i mean a lot of customers were let's face it i mean some were serious about it but many weren't now if you're not a digital business you're out of business what have you seen when you talk to customers in terms of the permanence of some of these changes what are they telling you well i think we go through this for ourselves right the business continues to grow you've got tons of people that are working remotely and that are going to continue to work remotely right as much as we'd like to offer up hybrid workspace and things like that some folks are like hey i've worked it out i'm working out great from home right and also i think what justin was saying also is we've seen time go on that operating environment has gotten much more complex you've got stuff in the data center stuff it's somebody's you know endpoint you've got various different public clouds different sas services right that's why it's been phenomenal to work with veeam because we can protect that data regardless of where it exists but when you start to look at some of the managed security services that we're talking about we're helping those csos you get better visibility better control and take proactive action against the infrastructure um when we look at threat mitigation and how to actually respond when when something does happen right and i think that's the key because there's no shortage of great security vendors right but how do you tie it all together into a single solution right with a vendor that you can actually partner with to help secure the environment while you go focus on the things they're more strategic to the business i was talking to jim mercer at um red hat summit last week he's an idc analyst and he said we did a survey i think it was last summer and we asked customers to your point about there's no shortage of security tools how do you want to buy your security and you know do you want you know best to breed bespoke tools and you sort of put it together or do you kind of want your platform provider to do it now surprisingly they said platform provider the the problem is that's aspirational for a lot of platforms providers so they've got to look to a managed service provider so brett talk about the the island acquisition what green cloud is how that all fits together so we acquired island and green cloud last year and the reality is that the people at both of those companies and the technology is what drove us to making those acquisitions they were the foundational pieces to eleven eleven uh obviously the things that justin has been able to create from an automation and innovation perspective uh at the company is transforming this business in a litany of different ways as well so those two acquisitions allow us at this point to take a cloud environment on a geographic footprint not only throughout the us but globally uh have a security product that was given to us from from the green cloud acquisition of cascade and add-on connectivity to allow us to have all three platforms in one all three pillars so i like 11 11 11 is near and dear to my heart i am so where'd the name come from uh everybody asked me this question i think five times a day so uh growing up as a kid everyone in my family would always say 11 11 make a wish whenever you'd see it on the clock and uh during coven we were coming up with a new name for the business my daughter looked at the microwave said dad it's 11 11. make a wish the reality was though i had no idea why i'd been doing it for all that time and when you look up kind of the background origination derivation of the word uh it means the time of day when everything's in line um and when things are complex especially with running all the different businesses that we have aligning them so that they're working together it seemed like a perfect man when i had the big corner office at idc i had my staff meetings at 11 11. because the universe was aligned and then the other thing was nobody could forget the time so they gave him 11 minutes to be there now you'll see it all the time even when you don't want to so justin we've been talking a lot about ransomware and and not just backup but recovery my friend fred moore who you know coined the phrase backup is one thing recovery is everything and recovery time network speeds and and the like are critical especially when you're thinking cloud how are you architecting recovery for your clients maybe you could dig into that a little bit sure so it's really a multitude of things you know you mentioned ransomware seeing the ransomware landscape evolve over time especially in our business with backup and dr it's very singular you know people protecting against host nodes now we're seeing ransomware be able to get into an environment land and expand actually delete backups target backup vendors so the ransomware point i guess um trying to battle that is a multi-step process right you need to think about how data flows into the organization from a security perspective from a networking perspective you need to think about how your workloads are protected and then when you think about backups i know we're at veeam vmon now talking about veeam there's a multitude of ways to protect that data whether it's retention whether it's immutability air gapping data so while i know we focus a lot sometimes on protecting data it's really that hamburg analogy where the sum of the parts make up the protection so how do you provide services i mean you say okay you want immutability there's a there's a line item for that um you want faster or you know low rpo fast rto how does that all work for as a customer what what am i buying from you is it just a managed service we'll take care of everything platinum gold silver or is it if if you don't mind so i'm glad you asked that question because this is something that's very unique about us years ago his team actually built the ip because we were scaling at such an incredible rate globally through all our joint partners with veeam that how do we take all the intelligence that we have in his team and all of our solution architects and scale it so they actually developed a tool called catalyst and it's a pre-sales tool it's an application you download it you install it it basically takes a snapshot of your environment you start to manipulate the data what are you trying to do dave are you trying to protect that data are you backing up to us are you trying to replicate for dr purposes um you know what are you doing for production or maybe it's a migration it analyzes the network it analyzes all your infrastructure it helps the ses know immediately if we're a feasible solution based on what you are trying to do so nobody in the space is doing this and that's been a huge key to our growth because the channel community as well as the customer they're working with real data so we can get past all the garbage and get right to what's important for them for the outcome yeah that's huge who do you guys sell to is it is it more mid-sized businesses that maybe don't have the large teams is it larger enterprises who want to complement to their business is it both well i would say with the two acquisitions that we made the go-to-market sales strategies and the clientele were very different when you look at green cloud they're selling predominantly wholesale through msps and those msps are mostly selling to smbs right so we covered that smb market for the most part through our acquisition of green cloud island on the other hand was more focused on selling direct inbound through vars through the channel mid enterprise big enterprise so really those two acquisitions outside of the ip that we got from the systems we have every single go-to-market sale strategy and we're aligned from smb all the way up to the fortune 500. i heard a stat a couple months ago that that less than 50 of enterprises have a sock it blew me away and you know even small businesses need one they may not be able to afford but certainly a medium size or larger business should have some kind of sock is it does that stat jive with what you're seeing in the marketplace 100 if that's true the need for a managed service like this is just it's going to explode it is exploding yeah i mean 100 right there is zero unemployment in the cyberspace right just north america alone there's about a million or so folks in that space and right now you've got about 600 000 open wrecks just in north america right so earlier we talked about no shortage of tools right but the shortage of head count is a significant challenge big time right most importantly the people that you do have on staff they've got alert fatigue from the tools that they do have that's why you're seeing this massive insurgence in the managed security services provider lack of talent is number one challenge for csos that's what they'll tell you and there's no end in sight to that and it's you know another tool and and it's amazing because you see security companies popping up all the time billion dollar evaluations i mean lacework did a billion dollar raise and so so there's no shortage of funding now maybe that'll change you know with the market but i wanted to turn our attention to the keynotes this morning you guys got some serious love up on stage um there was a demo uh it was a pretty pretty cool demo fast recovery very very tight rpo as i recall it was i think four minutes of data loss is that right was that the right knit stat i was happy it wasn't zero data loss because there's really you know no such thing uh but so you got to feel good about that tell us about um how that all came about your relationship with with veeam who wants to take it sure i can i can take a step at it so one of the or two of the things that i'm um most excited about at least with this vmon is our team was able to work with veeam on that demo and what that demo was showing was some cdp-based features for cloud providers so we're really happy to see that and the reason why we're happy to see that is that with the veeam platform it's now given the customers the ability to do things like snapshot replication cdp replication on-prem backup cloud backup immutability air gap the list goes on and on and in our opinion having a singular software vendor that can provide all that through you know with a cloud provider on prem or not is really like the icing on the cake so for us it's very exciting to see that and then also coupled with a lot of the innovation that veeam's doing in the sas space right so again having that umbrella product that can cover all those use cases i'll tell you if you guys can get a that was a very cool demo if we can get a youtube of that that that demo i'll make sure we put it in the the show notes and uh of this video or maybe pop it into one of the blogs that we write about it um so so how you guys feel i mean this is a new chapter for you very cool with a couple of acquisitions that are now the main mainspring of your strategy so the first veeam on in a couple years so what's the vibe been like for you what's the nighttime activity the customer interaction i know you guys are running a lot of the back end demos so you're everywhere what's the what's the vibe like at veeamon and how does it feel to be back look at that one at dante as far as yeah you got a lot of experience here yeah let me loose on this one dave i'm like so excited about this right it's been it's been far too long to get face to face again and um veeam always does it right and i think that uh for years we've been back-ending like all the hands-on lab infrastructure here but forget about that i think the part that's really exciting is getting face-to-face with such a great team right we have phenomenal architects that we work with at veeam day in and day out they put up with us pushing them pushing and pushing them and together we've been able to create a lot of magic together right but i think it's you can't replace the human interaction that we've all been starving for for the last two years but the vibe's always fantastic at veeam if you're going to be around tonight i'll be looking forward to enjoying some of that veeam love with you at the after party yeah that's well famous after parties we'll see if that culture continues i have a feeling it will um brett where do you want to take 11 11. a new new phase in all of your careers you got a great crew out here it looks like i i love that you're all out and uh make some noise here people let's hear it all right let's see you this is the biggest audience we've had all week where do you want to take 11 11. i think you know if uh if you look at what we've done so far in the short six months since the acquisitions of green cloud and ireland obviously the integration is a key piece we're going to be laser focused on growing organically across those three pillars we've got to put more capital and resources into the incredible ip like i said earlier that just and his team have created on those front ends the user experience but you know we made two large acquisitions obviously mna is a is a key piece for us we're going to be diligent and we're probably going to be very aggressive on that front as well to be able to grow this business into the global leader of cloud connectivity and security and i think we've really hit a void in the industry that's been looking for this for a very long time and we want to be the first ones to be able to collaborate and combine those three into one when the when the cloud started to hit the steep part of the s-curve kind of early part of the last decade people thought oh wow these managed service providers are toast the exact opposite happened it created such a tailwind and need for consistent services and integration and managed services we've seen it all across the stack so guys wish you best of luck congratulations on the acquisitions thank you uh hope to have you back soon yeah thank you around the block all right keep it right there everybody dave vellante for the cube's coverage of veeamon 2022 we'll be right back after this short break

Published Date : May 24 2022

SUMMARY :

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Dante Orsini, Justin Giardina, and Brett Diamond | VeeamON 2022


 

(pleasant music) >> We're back at Veeamon 2022. We're here at the Aria hotel in Las Vegas. This is theCube's continuous coverage. We're in day two. Welcome to the CXO session. We have CEO, CTO, CSO, chief strategy officer. Brett Diamond is the CEO, Justin Giardina is the CTO, and Dante Orsini is the chief strategy officer for 11:11 Systems recently named, I guess today, the impact cloud service provider of the year. Congratulations, guys. Welcome to theCube. Welcome back to theCube. Great to see you again. >> Thank you. >> Great. >> Likewise. >> Thanks for having us. Okay, Brett, let's start with you. Give us the overview of 11:11, your focus area, talk about the Island acquisition, what that's all about, give us the setup. >> Yeah, so we started 11:11, really, with a focus on taking the three core pillars of our business, which are cloud, connectivity, and security, bring them together into one platform, allowing a much easier way for our customers and our partners to procure those three solution sets through a single company and really focus on the three main drivers of the business, which, you know, have a litany of other services associated with them under each platform. >> Okay, so Justin, cloud connectivity and security, they all dramatically changed in March of 2020. Everybody had to go to the cloud, had to rethink the network, had to secure remote workers. So what did you see, from a CTO's perspective, what changed and how did 11:11 respond? >> Sure, so early on, when we built our cloud, even back into 2008, we really focused on enterprise grade features, one of which being very flexible in the networking. So we found early on was that we would be able to architect solutions for customers that were dipping their toe in the cloud and set ourselves apart from some of the vendors at the time. So if you fast forward from 2008 until today, we still see that as a main component for IaaS and DRaaS and the ability to start taking into some of the things Brett talked about, where customers may need a point to point circuit to offload data connectivity to us, or develop SD-WAN and multi-cloud solutions to connect to their resources in the cloud. In my opinion, it's just the natural progression of what we set out to do in 2008. And to couple that with the security, if you think about what that opens up from a security landscape, now you have multiple clouds, you have different ingress and egress points, you have different people accessing workloads in each one of these clouds, so the idea or our idea is that we can layer a comprehensive security solution over this new multi-cloud networking world and then provide visibility and manageability to our customer base. >> So what does that mean specifically for your customers? Because, I mean, we saw obviously a rapid move toward end point, cloud security, identity access. You know, people really started rethinking that as opposed to trying to just, you know, build a moat around the castle. >> Right. >> What does that mean for your customer? You take care of all that? You partner with whomever you need to partner in the ecosystem and then you provide the managed service? How does that work? >> Right. It does and that's a great analogy. You know, we have a picture of a hamburger in our office, exploded with all the components and they say, a good security policy has all the pieces and it's really synonymous with what you said. So to answer your question, yes. We have all that baked in the platform. We can offer managed services around it, but we also give the consumer the ability to access that data, whether it's a UI or API. >> So Dante, I know you talked to a lot of customers. All you do is watch the stock market go like this and like that and you say, okay, the pandemic drove all these, but when you talk to CISOs and customers, a lot of things are changing permanently. First of all, they were forced to march to digital when previously, they were like, eh, we'll get there. I mean, a lot of customers were. Let's face it. I mean, some were serious about it, but many weren't. Now, if you're not a digital business, you're out of business. What have you seen when you talk to customers in terms of the permanence of some of these changes? What are they telling you? >> Well, I think, you know, we go through this ourselves, right? The business continues to grow. You've got tons of people that are working remotely and they are going to continue to work remotely, right? As much as we'd like to offer up hybrid workspace and things like that, some folks are like, hey, I've worked it out. I'm working out great from home, right? And also, I think what Justin was saying also is, as we've seen time go on, that operating environment has gotten much more complex. You've got stuff in the data center, stuff in somebody's, you know, endpoint, you've got various different public clouds, different SAS services, right? That's why it's been phenomenal to work with Veeam because we can protect that data regardless of where it exists. But when you start to look at some of the managed security services that we're talking about, we're helping those CSOs, you know, get better visibility, better control, and take proactive action against the infrastructure when we look at threat mitigation and how to actually respond when something does happen, right? And I think that's the key because there's no shortage of great security vendors, right? But how do you tie it all together into a single solution, right, with a vendor that you can actually partner with to help secure the environment while you go focus on the things that are more strategic to the business? >> I was talking to Jim Mercer at Red Hat Summit last week. He's an IDC analyst and we did a survey, I think it was last summer, and we asked customers to your point about, there's no shortage of security tools. How do you want to buy your security? And, you know, do you want, you know, best to breed bespoke tools and you sort of put it together or do you kind of want your platform provider to do it? Now surprisingly, they said platform provider. The problem is, that's aspirational for a lot of platform providers, so they got to look to a managed service provider. So Brett, talk about the Island acquisition, what Green Cloud is, how that all fits together. >> So we acquired Island and Green Cloud last year and the reality is, the people at both of those companies and the technology is what drove us to making those acquisitions. They were the foundational pieces to 11:11. Obviously, the things that Justin has been able to create from an automation and innovation perspective at the company is transforming this business in a litany of different ways, as well. So, those two acquisitions allow us at this point to take a cloud environment on a geographic footprint, not only throughout the US but globally, have a security product that was given to us from the Green Cloud acquisition of Cascade, and add on connectivity to allow us to have all three platforms in one, all three pillars in one. >> So I like 11:11. 11:11 is near and dear to my heart. So where'd the name come from? >> Everybody asked me this question, I think, five times a day. So growing up as a kid, everyone in my family would always say 11:11 make a wish whenever you'd see it on the clock. And during COVID, we were coming up with a new name for the business. My daughter looked at the microwave, said, dad, it's 11:11, make a wish. The reality was though, I had no idea why I'd been doing it for all that time and when you look up kind of the background origination, derivation of the word, it means the time of day when everything's in line and when things are complex, especially with running all the different businesses that we have, aligning them so that they're working together, it seemed like the perfect thing >> So when I had the big corner office at IDC, I had my staff meetings at 11:11. >> Yep. >> Because the universe was aligned and then the other thing was, nobody could forget the time. So they gave me 11 minutes to be there, so they were never late. >> And now you'll see it all the time, even when you don't want to. (chuckles) >> So Justin, we've been talking a lot about ransomware and not just backup, but recovery. My friend, Fred Moore, who, you know, coined the phrase backup is one thing, recovery is everything, and recovery time, network speeds and the like are critical, especially when you're thinking cloud. How are you architecting recovery for your clients? Maybe you could dig into that a little bit. >> Sure. So it's really a multitude of things. You know, you mention ransomware. Seeing the ransomware landscape evolve over time, especially in our business with backup NDR, is very singular, you know, people protecting against host nodes. Now we're seeing ransomware be able to get into an environment, land and expand, actually delete backups, target backup vendors. So the ransomware point, I guess, trying to battle that is a multi-step process, right? You need to think about how data flows into the organization from a security perspective, from a networking perspective, you need to think about how your workloads are protected, and then when you think about backups, I know we're at Veeamon now talking about Veeam, there's a multitude of ways to protect that data, whether it's retention, whether it's immutability, air gapping data. So, while I know we focus a lot sometimes on protecting data, it's really that hamburger analogy where the sum of the parts make up the protection. >> So how do you provide services? I mean, do you say, okay, do you want immutability? There's a line item for that. You want low RPO, fast RTO? How does that all work as a customer? What am I buying from you? Is it just a managed service? We'll take care of everything, platinum, gold, silver, or is it? >> If you don't mind, so I'm glad you asked that question because this is something that's very unique about us. Years ago, his team actually built the IP because we were scaling at such an incredible rate globally through all our joint partners with Veeam that, how do we take all the intelligence that we have and his team and all of our solution architects and scale it? So they actually developed a tool called Catalyst, and it's a pre-sales tool. It's an application. You download it, you install it. It basically takes a snapshot of your environment. You start to manipulate the data. What are you trying to do, Dave? Are you trying to protect that data? Are you backing up to us? Are you trying to replicate it for DR purposes? You know, what are you doing for production, or maybe it's a migration? It analyzes the network. It analyzes all your infrastructure. It helps the SEs know immediately if we're a feasible solution based on what you are trying to do. So, nobody in the space is doing this and that's been a huge key to our growth because the channel community, as well as the customer, they're working with real data. So we can get past all the garbage, you get right to what's important for them for the outcome. >> Yeah, that's huge. Who do you guys sell to? Is it more mid-size businesses that maybe don't have the large teams? Is it larger enterprises who want to compliment to their business? Is it both? >> Well, I would say with the two acquisitions that we made to go to market sales strategies and the clientele were very different, when you look at Green Cloud, they're selling predominantly wholesale through MSPs and those MSPs are mostly selling to SMBs, right? So we covered that SMB market for the most part through our acquisition of Green Cloud. Island, on the other hand, was more focused on selling direct, inbound, through VARs through the channel, mid-enterprise, big enterprise. So really, those two acquisitions outside of the IP that we got from the systems, we have every single go to market sales strategy and we're aligned from SMB all the way up to the Fortune 500. >> I heard a stat a couple months ago that less than 50% of enterprises have a SAQ. That blew me away. And, you know, even small businesses need one. They may not be able to afford, but there's certainly a medium size or a larger business should have some kind of SAQ. Does that stat jive with what you're seeing in the marketplace? >> A hundred percent. >> If that's true, the need for a managed service like this, it's going to explode. It is exploding, I mean. >> Yeah, I mean, a hundred percent, right? There is zero unemployment in the cyberspace, right? Just North America alone, there's about a million or so folks in that space and right now you've got about 600,000 open recs just in North America, right? So earlier, we talked about no shortage of tools, right? But the shortage of headcount is a significant challenge, big time, right? Most importantly, the people that you do have on staff, they've got alert fatigue from the tools that they do have. That's why you're seeing this massive surgence in the managed security services provider. >> Lack of talent is number one challenge for CISOs. That's what they'll tell you and there's no end in sight to that. And it's, you know, another tool and it's amazing 'cause you see security companies popping up all the time. I mean, billion dollar valuations, I mean, Lacework did a billion dollar raise. And so, there's no shortage of funding. Now, maybe that'll change, you know, with the market but I wanted to turn our attention to the keynotes this morning. You guys got some serious love up on stage. There was a demo. It was a pretty cool demo, fast recovery, very tight RPO, as I recall. It was, I think, four minutes of, of data loss? Is that right? Is that the right stat? I was happy it wasn't zero data loss 'cause there's really, you know, no such thing, but so you got to feel good about that. Tell us about how that all came about, your relationship with Veeam. Who wants to take it? >> Sure, I can take a stab at it. So two of the things that I'm most excited about, at least with this Veeamon, is our team was able to work with Veeam on that demo, and what that demo was showing was some CDP based features for cloud providers. So we're really happy to see that and the reason why we're happy to see that is that with the Veeam platform, it's now given the customers the ability to do things like snapshot replication, CDP replication, on-prem backup, cloud backup, immutability air gap, the list goes on and on. And in our opinion, having a singular software vendor that can provide all that, you know, with a cloud provider on-prem or not is really like, the icing on the cake. So for us, it's very exciting to see that, and then also coupled with a lot of the innovation that's Veeam's doing in the SAS space, right? So again, having that umbrella product that can cover all those use cases. >> I'll tell you, that was a very cool demo. If you can get a YouTube of that demo, I'll make sure we put it in the show notes of this video or maybe pop it into one of the blogs that we write about it. So, how do you guys feel? I mean, this is a new chapter for you. Very cool, with a couple of acquisitions that are now the main spring of your strategy, so the first Veeamon in a couple years. So what's the vibe been like for you? What's the nighttime activity, the customer interaction? I know you guys are running a lot of the backend demos, so you're everywhere. What's the vibe like at Veeamon and how does it feel to be back? >> I'll give that one to Dante as far as the vibes, so far. >> Yeah, yeah, you got a lot of experience. >> Yeah, let me loose on this one, Dave. I'm like, so excited about this, right? It's been far too long to get face to face again and Veeam always does it right. And I think that for years, we've been back ending like, all the hands on lab infrastructure here, but forget about that. I think the part that's really exciting is getting face to face with such a great team, right? We have phenomenal architects that we work with at Veeam day in and day out. They put up with us, pushing them, pushing them, pushing them and together, we've been able to create a lot of magic together, right? But I think you can't replace the human interaction that we've all been starving for, for the last two years. But the vibe's always fantastic at Veeam. If you're going to be around tonight, I'll be looking forward to enjoying some of that Veeam love with you at the after party. >> Yeah, well, famous after parties. We'll see if that culture continues. I have a feeling it will. Brett, where do you want to take 11:11? New phase in all of your careers. You got a great crew out here, it looks like. I love that you're all out and, make some noise here, people. Let's hear it! (audience cheering) You see, this is the biggest audience we've had all week. Where do you want to take 11:11? >> I think, you know, if you look at what we've done so far in the short six months since the acquisitions of Green Cloud and Island, obviously the integration is a key piece. We're going to be laser focused on growing organically across those three pillars. We've got to put more capital and resources into the incredible IP, like I said earlier, that Justin and his team have created on those front ends, the user experience. But, you know, we made two large acquisitions, obviously M and A is a key piece for us. We're going to be diligent and we're probably going to be very aggressive on that front as well, to be able to grow this business into the global leader of cloud connectivity and security. And I think we've really hit a void in the industry that's been looking for this for a very long time and we want to be the first ones to be able to collaborate and combine those three into one. >> When the cloud started to hit the steep part of the S-curve, kind of early part of last decade, people thought, oh wow, these managed service providers are toast. The exact opposite happened. It created such a tailwind and need for consistent services and integration and managed services. We've seen it all across the stacks. So guys, wish you best of luck. Congratulations on the acquisitions, >> Thank you. >> And hope to have you back soon. >> Absolutely, thanks for having us. >> All right, keep it right there everybody. Dave Vellante for theCube's coverage of Veeamon 2022. We'll be right back after this short break. (pleasant music)

Published Date : May 18 2022

SUMMARY :

and Dante Orsini is the talk about the Island acquisition, and our partners to procure So what did you see, and the ability to start taking into some as opposed to trying to just, you know, We have all that baked in the platform. and like that and you say, okay, of the managed security services and you sort of put it together and the technology is what drove us near and dear to my heart. and when you look up kind of So when I had the big Because the universe was aligned even when you don't want to. and the like are critical, and then when you think about backups, So how do you provide services? and that's been a huge key to our growth that maybe don't have the large teams? and the clientele were very different, in the marketplace? this, it's going to explode. that you do have on staff, Is that the right stat? and the reason why we're that are now the main I'll give that one to Dante Yeah, yeah, you got But I think you can't Brett, where do you want to take 11:11? I think, you know, of the S-curve, kind of coverage of Veeamon 2022.

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Gil Shneorson, Dell | Dell Technologies World 2022


 

>>The cube presents. Dell technologies world brought to you by Dell. >>Welcome to Las Vegas. Lisa Martin, with Dave Volante. The cube is live at Dell technologies world 2022. Dave, hope you say live, live <laugh>. We are live. We are in person. We are three-D. We are also here on the first day of our coverage with an eight time, right? Eight time cube alum, GA Norris joins us the senior vice president of edge portfolio solutions at Dell technologies. Welcome back our friend. >>Thank you. It's great to be here in this forum with live people, you know, and 3d, >>Isn't it. We're amazing. We're not, we're not via a screen. This is actually real. So Gill a a lot, a lot of buzz, great attendance at this first event, since 20, lot's been going on since then, we're talking a lot about edge. It's not new, but there's a lot changing what's going on there. >>Well, you know, edge has been around for a while. Um, actually since, you know, the beginning of time people were doing, you know, compute and, and applications, they in the, um, in the physical space where data it, but more and more, um, data is based on sensors in cameras and machine vision. And if you wanna make real time decisions, there's a few reasons why you can't just send everything back to a data center or a cloud. Maybe you don't have the right latency, maybe, um, you it's too costly. Maybe you don't have the right end with maybe you have security challenges, maybe have compliance challenges. So the world's moving more and more resources towards where the data is created and to make real time decisions and to generate new business values, things are changing and they're becoming much more, um, um, involved than before, much more. Um, so basically that that's, what's changing. You know, we need to deal with distributed architectures much more than we needed before. >>I think one of the things we've learned in the last very dynamic two years is that access to realtime data is no longer a nice to have it's table stakes for whether we're talking about retail, healthcare, et cetera. So that the, the realtime data access is critical for everybody to these days. >>Right? And it, it could be a real time decision, or it could even be data collection either way. You need to place some device, some comput next to the source. And then, you know, you have a lot of them and you just multiply by multiple use cases and you be, you basically, you have a very complex problem to solve. And if you ask me what's new is that complexity is big coming more and more, um, critical to solve >>Critical. >>Oh, go ahead, please. >>I was just gonna say, talk to me about some of the, from a, from a complexity resolution perspective, what are some of the things that Dell is doing to help organizations as they spread out to the edge more to meet that consumer demand, but reduce that complexity from an infrastructure standpoint. >>So we focus on simplifying. I think that's what people need right now. So there are two things we do. We, we optimize our products, um, whether they need regularization or different temperature envelopes or, uh, management capability, remote management capability, and we create solutions. And so we develop, um, solutions that look at specific, um, outcomes and we size it and we create deployment guides. Um, we do everything we can, um, to simplify the, uh, the edge uses for our customers. >>You know, you guys is talking about, it's not new. I, and I know you do a lot in retail. I think of like the NCR cash register as the, the original edge, you know, but there's other use cases. Uh there's you Gil, you and I have talked about AI inferencing in, in real time, there was a question today in the analyst forum, uh, I think it went to Jeff or nobody wanted to take it. No, maybe it was Michael, but the metaverse, but that there's edge space is the edge industrial I OT. So how do you, I mean, the Tam is enormous. How do you think about the use cases? Are there ones that, that aren't necessarily sort of horizontal for you that you don't go after, like EVs and TA the cars? Or how are you thinking about >>It? Depends. I agree that the, uh, edge business is very verticalized. Um, at the same time, there are very, uh, there is, there are themes that emerge across every industry. Um, so we're trying to solve things horizontally being Dell, we need to solve for, um, repeatability and scale, but we do package, you know, vertical solutions on top of them because that's what people need. Um, so for example, you know, you said, um, NCR being the, uh, the original edge. If I asked you today, name how many applications are, are running in a retail store to enable your experience? You'd say, well, there's self checkout. Maybe there is a, um, fraud detection, >>Let's say a handful >>It's handful. The fact is it's not, it's about 30 different applications, 30 that are running. So you have, you know, digital labels and you have, you know, a curbside delivery and you have inventory management and you have crowd management and you have safety and security. And what happens today is that every one of those solar is purchased separately and deployed separately and connected to the network separately and secured separately. Hence you see the problem, right? And so I know what we do, and we create a solution. For example, we see, okay, infrastructure, what can we consolidate onto an infrastructure that could scale over time? And then we look at it in the context of a solution. So, you know, the solution we're announcing, or we announced last week does just that on the left side, it looks at a consolidated infrastructure based on VxRail and VMware stack. So you can run multiple applications on the right side, it working with a company called deep north for Inso analytics and actually people that, um, and the show they can go and see this in action, um, in our, um, you know, fake retail store, uh, back at the edge booth. Um, but the point is those elements of siloed applications and the need to consolidate their true for every industry. And that's what we're trying to solve for. >>I was just wondering, you said they're true for every industry. Every industry is facing the same challenges there. What, what makes retail so prime for transformation right now? >>That's a great question. So, you know, using my example from before, if you are faced with this set, have a shopper that buys online and they now are coming back to the stores and they need to, they want the same experience. They want the stuff that they search for. They want it available to them. Um, and in fact, we research that 80% of people say, if they have a bad experience will not come back to a retail store. So you've got all of those use cases that you need to put to, you've got this savvy shopping that comes in, you've got heightened labor costs. You've got a supply chain problem in most of those markets, labor >>Shortages as >>Well. It's a perfect storm. And you wanna give an experience, right? So CIOs are looking at this and they go, how do I do all of that? Um, and they, they, as I said before, the key management, the key problem is management of all of those things is why they can innovate faster. And so retail is in this perfect storm where they need to innovate and they want to innovate. And now they're looking for options and we're here to help them. >>You know, a lot of times we talk about the in industrial IOT, we talk about the it and the OT schism. Is there a similar sort of dissonance between it, your peeps, Dell's traditional market, and what's happening, you know, at the near edge, the retail infrastructure sort of different requirements. How are you thinking about that and managing that >>About, um, 50% of edge projects today are, are somehow involving it. Um, usually every project will involve it for networking and security, so they have to manage it either way. And today there's a lot of what we used to call shadow it. When we talked about cloud, this has happens at the edge as well. Now this happened for a good reason because the expertise are the OT people expertise on the, the specific use case. It's true for manufacturing. It's also for true for, for retail. Um, our traditional audience is the it audience and, and we will never be able to merger two worlds unless it was better able to service the OT buyers. And even in the show, I I've had multiple conversations today. We, with people to talk about the divide, how to bring it together, it will come together when it can deliver a better service to the OT, um, constituents. And that's definitely a job for Dell, right? This is what we do. If we enable our it buyer to do a better job in servicing the OT crowd or their business crowd in retail, um, more innovation will happen, you know, across the, those different dimensions. So I'm happy you asked that because that's actually part of the mission we're taking on. >>Where is one of the things I think about when you, you talk about that consumer experience and we're very demanding as consumers. We wanna ha as you described, we wanna have the same experience we expect to have that regardless of where we are. And if that doesn't happen, you, you mentioned that number of 80% of people's survey said, if I have a bad experience with a merchant, I'm out, I'm going somewhere else. Right. So where is the rest of the Csuite in the conversation? I can think of, um, a COO the chief marketing officer from brand value, brand reputation perspective. Are you talking with those folks as well to help make the connective so reality? >>Um, I, I, I don't know that we're having those conversation with those business owners. We we're a, um, a system, an infrastructure company. So, you know, we get involved once they understand, you know, what they want to do. We just look at it in. And so if you solve it one way, it's gonna be one outcome. Maybe there is a better way to look at it. Maybe there's an architecture, maybe there's a more, you know, thoughtful way to think about, you know, the problems before they happen. And, um, but the fact that they're all looking shows you, that their business owners are very, very concerned with, with this reality, their >>Key stakeholders. Can >>We come back to your announcement? Can you, can we unpack that a little bit, uh, for those who might not be familiar with it? What, what, what is it called again? And give us a peel, the onion a little bit Gil. Yeah. >>So, so we call it a Dell technologies validated design. Um, it is essentially reference architecture. Um, we take a use case, we size it. So we, you know, we, um, we save customers, the effort of, of testing and sizing. We document the deployment step by step. We just make it simpler. And as says, before we look for consolidation, so we took a VXL, which is our leading ACI product based on VMware technology with a VMware application management stack with Tansu. Um, and then we, we, we look at that as the infrastructure, and then we test it with a company called deep north and deep north, um, are, um, store analytics. So through machine vision, they can tell you where people are queuing up. If there is somebody in the store that needs help and nobody's approaching, if there is a water spill and somebody might, you know, slip and hurt themselves, if a fridge is open and something may get spot. >>And so all of those things together through machine vision and realtime decisions can have this much better experience. So we put all of this together, we created a design and now it's out there in the market for our partners to use for our customers to use. Um, this is an extension of our manufacturing solutions, where we did the same thing. We partner with a company called PTC. I know of obviously in a company called Litmos, um, to create, um, industrial and the leading solution. So this whole word of solutioning is supposed to look at the infrastructure and a use case and bring them together and document in a way that simplifies things for >>Customers. Do you ever see that becoming a Aku at some point in time or, >>Um, personal, if you ask me? I don't think so. And the reason is there's still a lot of variability in those and skewing, but that's a very formal, you know, internal discussion. Yeah. Um, the point is we are, we want people to buy as much of it as they need to, and, and we really want to help them if Aku could help them, we will get there, but we need to see repeatability before creating skews. >>Can you give us an example of a, of a retail or a manufacturing customer that's using this Dell validated design, this DVD, and that really has reduced or eliminated that complexity that was there before. >>So this solution is new. I mean, it's brand new, we just announced it. So, no, but, um, I don't know what names I can call out, cuz referenceability is probably examples though about generic, but I will tell you that most of the large retailers in the us are based in their stores on Dell technologies. Um, a lot of the trail is in, in those stores and you're talking about thousands of locations with remote management. Um, what we're doing here is we're taking it to the next step by looking at new use cases that they have not been implementing before and saying, look, same infrastructure is valid. You know, scalable is it's scalable. And here are the new use cases with machine vision and other things that here is how you do that. But we're seeing a lot of success in retail in the last few years. >>So what should we expect looking forward, you know, any gaps that customers are asking for trying to fill? What, what two to three years out, what should we expect? >>Um, I think we're gonna stay very true to our simplification message. We want to help people simplify. So if it's simplifying, um, maintenance, if it's simplifying management, if it's simplifying through solutioning, you're gonna see us more and more and more, um, investing in simplification of edge. Um, and that's through our own IP, through our partnerships. Um, there, there is a lot more coming if, if I may say it myself, but, but it's, it's a little too early to, uh, to talk about it. >>So for those folks that are here at the show that get to see it and play with it and touch it and feel it, what would you say some of the biggest impacts are that this technology can deliver tomorrow? >>Well, first of all, it's enabling to do what they want. See, we don't have to go and, and tell people, oh, you probably really need to move things through the edge. They know they need to do it. Our job is to tell them how to do it in a secure way, in a simplified way. So that's, that's a nice thing about this, this market it's happening, whether we want it or not. Um, people in this show can go see some things in action. They can see the solution in action. They can see the manufacturing solution in action and even more so. And I forgot to say part of our announcement was a set of solution centers in Limerick island and in Singapore, that was just open. And soon enough in Austin, Texas saw that, and we will have people come in and have the full experience of IOT OT and edge device devices in action. So AR and VR, I T IEN technology and scanning technology. So they could be, um, thinking about the art of the possible, right? Thinking about this immersive experience that will help them invent with us. And so we're expecting a lot of innovation to come out of those conversations for us and for them. >>So doing a lot of testing before deployment and really gleaning that testing >>Before deployment solution architecture, just ideation, if they're not there yet. So, and I've just been to Singapore in one of those, um, they asked me to, um, pretend I was a, um, retail ski enter in a distribution center and I didn't do so well, but I was still impressed with the technology. So, >>Well, eight time Q alumni. Now you have a career to fall back on if you need to. Exactly. >><laugh> >>GA it's been great to have you. Thank you so much for coming back, talking to us about what's new on day one of Dell technologies world 22. Thank >>You for having me again, >>Our pleasure for Dave Volante. I'm Lisa Martin, coming to you live from the Venetian in Las Vegas at Dell technologies world 2022. This is day one of our coverage stick around Dave and I will be right back with our next guest.

Published Date : May 3 2022

SUMMARY :

Dell technologies world brought to you by Dell. Dave, hope you say live, live <laugh>. It's great to be here in this forum with live people, you know, and 3d, a lot of buzz, great attendance at this first event, since 20, lot's been going on since then, have the right latency, maybe, um, you it's too costly. So that the, the realtime data access is critical for everybody to these days. you know, you have a lot of them and you just multiply by multiple use cases and you be, out to the edge more to meet that consumer demand, but reduce that complexity from an infrastructure standpoint. And so we develop, um, solutions that look at specific, um, outcomes and we size it and I think of like the NCR cash register as the, the original edge, you know, you know, you said, um, NCR being the, uh, the original edge. um, in our, um, you know, fake retail store, uh, back at the edge booth. I was just wondering, you said they're true for every industry. So, you know, using my example from before, if you are faced with And you wanna give an experience, right? you know, at the near edge, the retail infrastructure sort of different requirements. more innovation will happen, you know, across the, those different dimensions. We wanna ha as you described, we wanna have the same experience we expect to have that regardless And so if you solve it one way, it's gonna be one outcome. Can We come back to your announcement? So we, you know, So we put all of this together, we created a design Do you ever see that becoming a Aku at some point in time or, a lot of variability in those and skewing, but that's a very formal, you know, Can you give us an example of a, of a retail or a manufacturing customer that's using this Dell validated but I will tell you that most of the large retailers in the us are based in their stores So if it's simplifying, um, maintenance, and tell people, oh, you probably really need to move things through the edge. and I've just been to Singapore in one of those, um, they asked me to, um, pretend I was Now you have a career to fall back on if you need to. Thank you so much for coming back, talking to us about what's new on day one of Dell technologies I'm Lisa Martin, coming to you live from the Venetian

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Gil Vega, Veeam | VeeamON 2021


 

(upbeat music) >> Welcome everybody to VeeamON 2021 you're watching theCUBE. My name is Dave Villante. You know in 2020 cyber adversaries they seize the opportunity to really up their game and target workers from home and digital supply chains. It's become increasingly clear to observers that we're entering a new era of cyber threats where infiltrating companies via so-called Island Hopping and stealthily living off the land meaning they're using your own tools and infrastructure to steal your data. So they're not signaling with new tools that they're in there. It's becoming the norm for sophisticated hacks. Moreover, these well-funded and really sophisticated criminals and nation States are aggressively retaliating against incident responses. In other words, when you go to fix the problem they're not leaving the premises they're rather they're tightening the vice on victims by holding your data ransom and threatening to release previously ex filtrated and brand damaging information to the public. What a climate in which we live today. And with me to talk about these concerning trends and what you can do about it as Gil Vega, the CISO of Veeam Gil great to see you. Thanks for coming on. >> Great to see you, Dave. Thanks for having me. >> Yeah. So, you know, you're hearing my intro. It's probably understating the threat. You are a Veeam's first CISO. So how do you see the landscape right now? >> That's right. Yeah. And I've been with the company for just over a year now, but my background is in financial services and spent a lot of time managing cybersecurity programs at the classified level in Washington DC. So I've gleaned a lot of scar tissue from lots of sophisticated attacks and responses. But today I think what we're seeing is really a one-upmanship by a sophisticated potentially nation state sponsored adversaries, this idea of imprisoning your data and charging you to release it is it's quite frightening. And as we've seen in the news recently it can have devastating impacts not only for the economy, but for businesses. Look at the gas lines in the Northeast right now because of the quality of a pipeline, a ransomware attack. I just, the government just released an executive order this morning, that hopes to address some of the some of the nation's unpreparedness for these sophisticated attacks. And I think it's time. And I think everyone's excited about the opportunity to really apply a whole of government approach, to helping critical infrastructure to helping and partnering with private sector and imposing some risks, frankly, on some of the folks that are engaged in attacking our country. >> A number of years ago, I often tell this story. I had the pleasure of interviewing Robert Gates the former Defense Secretary. And it was a while ago we were talking about cyber and he sits on a number of boards. And we were talking about how it's a board level issue. And, and we're talking about cyber crime and the like and nation States. And I said, well, wait, cyber warfare, even. And I said, "But don't we have the best cyber tech. I mean, can't we go on the offense?" And he goes, "Yeah, we do. And we can, but we have more to lose." And to your point about critical infrastructure, it's not just like, okay, we have the most powerful weapons. It's really we have the most valuable infrastructure and a lot to lose. So it's really a tricky game. And this notion of having to be stealthy in your incident response is relatively new. Isn't it? >> It is. It is. And you know, there are, you mentioned that and I was surprised you mentioned because a lot of people really don't talk about it as you're going into your response your adversaries are watching or watching your every move. You have to assume in these days of perpetual state of compromise in your environments, which means that your adversaries have access to your environment to the point that they're watching your incident responders communicate with one another and they're countering your moves. So it's sort of a perverse spin on the old mutually assured destruction paradigm that you mentioned the United States has the world's largest economy. And quite frankly the world's most vulnerable, critical infrastructure. And I would concur with Director Gates or Secretary Gates rather it is assessment that we've got to be awfully careful and measured in our approach to imposing risks. I think the government has worked for many years on defining red lines. And I think this latest attack on the colonial pipeline affecting the economy and people's lives and potentially putting people's lives at risk is towing also the close to that red line. And I'm interested to see where this goes. I'm interested to see if this triggers even a, you know a new phase of cyber warfare, retaliation, you know proactive defense by the National Security Community of the United States government. Be interesting to see how this plays out. >> Yeah, you're absolutely right though. You've got this sort of asymmetric dynamic now which is unique for the United States as soon as strongest defense in the world. And I wanted to get it to ransomware a bit. And specifically this notion of ransomware as a service it's really concerning where criminals can actually outsource the hack as a service and the bad guys will set up, you know, on the dark web they'll have, you know, help desks and phone lines. They'll do the negotiations. I mean, this is a really concerning trend. And obviously Veeam plays a role here. I'm wondering as a, as a SecOps pro what should we be doing about this? >> Yeah, you mentioned ransomware as a service, whereas RWS it's an incredibly pernicious problem perpetrated by sophisticated folks who may or may not have nation state support or alliances. I think at a minimum certain governments are looking the other way as it relates to these criminal activities. But with ransomware as a service, you're essentially having very sophisticated folks create very complex ransomware code and distributed to people who are willing to pay for it. And oftentimes take a part of the ransom as their payment. The, issue with obviously ransomware is you know the age old question, are you going to pay a ransom or are you not going to pay a ransom? The FBI says, don't do it. It only encourages additional attacks. The Treasury Department put out some guidance earlier earlier in the year, advising companies that they could be subject to civil or criminal penalties. If they pay a ransom and the ransom goes to a sanction density. So there's danger on all sides. >> Wow okay. But so, and then the other thing is this infiltrating via digital supply chains I call it Island Hopping and the like, we saw that with the solar winds hack and the scary part is, you know different malware is coming in and self forming and creating different signatures. Not only is it very difficult to detect, but remediating, you know, one, you know combined self formed malware it doesn't necessarily take care of the others. And so, you know, you've got this sort of organic virus, like thing, you know, create mutating and that's something that's certainly relatively new to me in terms of its prevalence your thoughts on that and how to do it. >> Yeah, exactly right. You know, the advent of the polymorphic code that changes the implementation of advanced artificial intelligence and some of this malware is making our job increasingly difficult which is why I believe firmly. You've got to focus on the fundamentals and I think the best answers for protecting against sophisticated polymorphic code is,are found in the NIST cybersecurity framework. And I encourage everyone to really take a close look at implementing that cybersecurity framework across their environments, much like we've done here, here at Veeam implementing technologies around Zero Trust again assuming a perpetual state of compromise and not trusting any transaction in your environment is the key to combating this kind of attack. >> Well, and you know, as you mentioned, Zero Trust Zero Trust used to be a buzzword. Now it's like become a mandate. And you know, it's funny. I mean, in a way I feel like the crypto guys I know there's a lot of fraud in crypto, but but anybody who's ever traded crypto it's like getting into Fort Knox. I mean, you got to know your customer and you've got to do a little transaction. I mean, it's really quite sophisticated in terms of the how they are applying cybersecurity and you know, most even your bank isn't that intense. And so those kinds of practices, even though they're a bit of a pain in the neck, I mean it's worth the extra effort. I wonder if you could talk about some of the best practices that you're seeing how you're advising your clients in your ecosystem and the role that Veeam can play in helping here. >> Yeah, absolutely. As I mentioned so many recommendations and I think the thing to remember here so we don't overwhelm our small and medium sized businesses that have limited resources in this area is to remind them that it's a journey, right? It's not a destination that they can continually improve and focus on the fundamentals. As I mentioned, things like multi-factor authentication you know, a higher level topic might be micro-segmentation breaking up your environment into manageable components that you can monitor a real time. Real time monitoring is one of the key components to implementing Zero Trust architecture and knowing exactly what good looks like in your environment in a situation where you've got real-time monitoring you can detect the anomalies, the things that shouldn't be happening in your environment and to spin up your response teams, to focus and better understand what that is. I've always been a proponent of identity and access management controls and a key focus. We've heard it in this industry for 25 years is enforcing the concept of least privilege, making sure that your privileged users have access to the things they need and only the things that they need. And then of course, data immutability making sure that your data is stored in backups that verifiably has not been changed. And I think this is where Veeam comes into the equation where our products provide a lot of these very easily configured ransomware protections around data and your ability to the ability to instantly back up things like Office 365 emails, you know support for AWS and Azure. Your data can be quickly restored in the event that an attacker is able to in prison that with encryption and ransom demands. >> Well, and so you've certainly seen in the CISOs that I've talked to that they've had to obviously shift their priorities, thanks to the force march to digital, thanks to COVID, but Identity access management, end point security cloud security kind of overnight, you know, Zero Trust. We talked about that and you could see that in some of these, you know, high flying security stocks, Okta Zscaler, CrowdStrike, they exploded. And so what's in these many of these changes seem to be permanent sort of you're I guess, deeper down in the stack if you will, but you, you compliment these toolings with obviously the data protection approach the ransomware, the cloud data protection, air gaps, immutability. Maybe you could talk about how you fit in with the broader, you know, spate of tools. I mean, your, my eyes bleed when you look at all the security companies that are out there. >> Yeah for sure. You know, I'm just going to take it right back to the NIST cybersecurity framework and the five domains that you really need to focus on. Identify, protect, detect, respond, and recover, you know and until recently security practitioners and companies have really focused on on the protect, identify and protect, right and defend rather where they're focused on building, you know, moats and castles and making sure that they've got this, you know hard exterior to defend against attacks. I think there's been a shift over the past couple of years where companies have recognized that the focus needs to be on and respond and recover activities, right? Assuming that people are going to breach or near breach, your entities is a safe way to think about this and building up capabilities to detect those breaches and respond effectively to those breaches are what's key in implementing a successful cybersecurity program where Veeam fits into this since with our suite of products that that can help you through the recovery process, right? That last domain of the NIST cybersecurity framework it'll allow you to instantaneously. As I mentioned before, restore data in the event of a catastrophic breach. And I think it provides companies with the assurances that while they're protecting and building those Zero Trust components into their environments to protect against these pernicious and well-resourced adversaries there's the opportunity for them to recover very quickly using the VM suite of tools? >> Well, I see, I think there's an interesting dynamic here. You're pointing out Gil. There's not no longer is it that, you know, build a moat the Queen's leaving her castle. I always say, you know there is no hardened perimeter anymore. And so you've seen, you know, the shift obviously from hardware based firewalls and you I mentioned those other companies that are doing great but to me, it's all about these layers and response is a big in recovery is a huge part of that. So I'm seeing increasingly companies like Veeam is a critical part of that, that security cyber data protection, you know, ecosystem. I mean, to me it's just as important as the frontline pieces of even identity. And so you see those markets exploding. I think it's, there's a latent value that's building in companies like Veeam that are a key part of those that data protection layer you think about you know, defense strategies. It's not just you, the frontline it's maybe it's airstrikes, maybe it's, you know, C etcetera. And I see that this market is actually a huge opportunity for for organizations like yours. >> I think you're right. And I think the proof is in, you know in the pudding, in terms of how this company has grown and what we've delivered in version 11 of our suite, including, you know features like continuous data protection, we talked about that reliable ransomware protection support for AWS S3 Glacier and Azure archive the expanded incident recovery, and then support for disaster recovery and backup as a service. You know, what I found most interesting in my year here at Veeam is just how much our administrators the administrators in our company and our customers companies that are managing backups absolutely love our products that ease of use the instant backup capabilities and the support they receive from Veeam. It's almost cultish in terms of how our customers are using these products to defend themselves in today's pretty intense cyber threat environment. >> Well, and you talked about the NIST framework, and again big part of that is recovery, because we talked about earlier about, do you pay the ransom or not? Well, to the extent that I can actually recover from having all my data encrypted then I've got obviously a lot more leverage and in many ways, I mean, let's face it. We all know that it's not a matter of if it's, when you get infiltrated. And so to the extent that I can actually have systems that allow me to recover, I'm now in a much much stronger position in many respects, you know and CISOs again, will tell you this that's where we're shifting our investments >> Right. And you've got to do all of them. It's not just there's no silver bullet, but but that seems to me to be just a a misunderstood and undervalued part of the equation. And I think there's tremendous upside there for companies like yours. >> I think you're right. I think what I'll just add to that is the power of immutability, right? Just verifiably ensuring that your data has not changed because oftentimes you'll have attackers in these low and slow live off the land types of attacks change your data and affect its integrity with the Veeam suite of tools. You're able to provide for immutable or unchanged verifiable data and your backup strategy which is really the first step to recovery after a significant event. >> And that's key because a lot of times the hackers would go right after the backup Corpus you know, they'll sometimes start there is that all the data, you know, but if you can make that immutable and again, it, you know there's best practices there too, because, you know if you're not paying the cloud service for that immutability, if you stop paying then you lose that. So you have to be very careful about, you know how you know, who has access to that and you know what the policies are there, but again, you know you can put in, you know so a lot of this, as you know, is people in process. It's not just tech, so I'll give you the last word. I know you got to jump, but really appreciate.. >> Yeah, sure. >> You know, the only, the only thing that we didn't mention is user awareness and education. I think that is sort of the umbrella key focus principle for any successful cybersecurity program making sure your people understand, you know how to deal with phishing emails. You know, ransomware is a huge threat of our time at 90% of ransomware malware is delivered by phishing. So prepare your workforce to deal with phishing emails. And I think you'll save yourself quite a few headaches. >> It's great advice. I'm glad you mentioned that because because bad user behavior or maybe uninformed user behaviors is the more fair way to say it. It will trump good security every time. Gil, thanks so much for coming to the CUBE and and keep fighting the fight. Best of luck going forward. >> Great. Thank you, Dave. >> All right. And thank you for watching everybody. This is Dave Villante for the CUBEs continuous coverage VeeamON 2021, the virtual edition. We will be right back. (upbeat music)

Published Date : May 26 2021

SUMMARY :

and infrastructure to steal your data. Great to see you, Dave. So how do you see the landscape right now? about the opportunity to really apply And to your point about and I was surprised you mentioned and the bad guys will set and the ransom goes to a sanction density. And so, you know, you've got the key to combating and you know, most even your and to spin up your response teams, in the stack if you will, and the five domains that and you I mentioned those other companies and the support they receive from Veeam. Well, and you talked but but that seems to me to be is the power of immutability, right? and again, it, you know there's you know how to deal with phishing emails. and and keep fighting the fight. And thank you for watching everybody.

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Glenn Finch, IBM | IBM Think 2021


 

>> Narrator: From around the globe it's theCUBE with digital coverage of IBM Think 2021 brought to you by IBM. >> Hello and welcome back to the cube's ongoing coverage of IBM Think 2021, the virtual edition. My name is Dave Vellante and I'm excited to introduce our next segment. We're going to dig into the intersection of machines and humans and the changing nature of work, worker productivity, and the potential of humans. With me is Glenn Finch, who is the global managing partner for data and AI at IBM Glenn, great to see you again. Thanks for coming on. >> Dave. Good to be with you, always a lot of fun to chat. >> I'm interested in this concept that you've been working on about amplifying worker potential. You've got humans, you've got digital workers coming together. Maybe you could talk a little bit about what you're seeing at that intersection. >> You know, it's interesting for most of my career I've always thought about amplifying human worker potential. And, you know, I would say over the last five years, you know we start to think about this concept of digital workers and amplifying their potential so that human potential can extend even further. What's cool is when we get them both to work together: amplifying digital worker potential, amplifying human worker potential, to radically change how service is experienced by an end consumer. I mean, that's really the winner is when you start seeing the end consumer, the end user fundamentally feeling the difference in the experience. >> I mean, a lot of the, you see a lot of the trade press and the journalists, they like to focus on the sort of the negative of automation. But when you talk to people who have implemented things take, for example, RPA, they're so happy that they're not having to do these menial tasks anymore. And then it's sort of the interesting discussion is, okay, well, what are you doing with your free time? What are you doing with your weekends? So how should we be thinking about that? What you, what you called amplifying human worker potential, what has to occur for that outcome? >> And you know, that all my life I've spent time making money for people, right? And this last year I was involved in a project where it, it fundamentally changed is tied to answer that exact question. You know, the service men and women in America who are willing to risk their lives, you know for our country, they file claims for medical benefits. And on average, it would take 15 days to get a response. We actually, for about 70 or 80% of them we've taken that down to like 15 minutes. And to do that, you can't just drop in a RPA. You can't just drop in AI. You, it's not one thing, right? It's this, it's this seamless interaction between digital workers and human workers, right? So that a lot of the more routine mundane tasks can be done by AI and, and robotics, but all of the really hard complex cases that only a human being can adjudicate, that's what the folks that were doing the more mundane work can go focus on. So, I mean, that's what makes me come to work every day is if I can change the life of a service man or woman that was willing to risk their lives for our country. So that that's, that's the concept. Now, the critical piece of what I said, it's not about implementing AI and robotics anymore, because a lot of that starts to get very rote, but picking up on, okay, we've liberated this block of human capability. How do we reposition it? How do we re-skill it? How do we get them to focus on new things? That's just as important the human change aspect, incredibly important. >> Yeah. I mean, that's interesting, because you're right. I mean, the downside, you mentioned RPA a lot of it is paving the cow path and you know the human in the loop piece has been has been missing and that's obviously changing. But what about the flip side of that equation? Where, you know, you asked the question, okay what can humans do that machines can't do? That equation you know, continues to evolve, but maybe you could talk about where you've amplified the digital worker potential. >> Yeah. So, you know, one of our clients has Anthem and you know, they've been on a variety of programs with us to talk about this, but, you know we just recorded, you know, another session with them for Think where the Chief Technology Officer came and talked about how they wanted to radically change their member experience. And when you think about the last year, I mean, I don't know, Dave, I know you travel a lot cause I see you in all the places that I'm in. But I don't know if you remember, like 15 months ago if you had to wait on the phone for two minutes you thought it was an eternity, right? You're like, what's the matter with me? I'm a frequent flyer. I deserve a better service than this. Then as COVID started roll around, those wait times were two hours, and then 30 days into COVID, if you got a call back within two days or two weeks, it was a blessing, right? So all of our expectations changed in an instant, right? So I have to say over the last 12 to 15 months that's where we've been spending a lot of our time in all of those human contact, human touch places to radically transition the ability to be responsive and touch people with the same experience that we had 15 months ago to get an answer back in two minutes. You can't get enough people right now to do that. And so we're forced to make sure that the digital experience is what that needs to be. So the digital worker has to be up and on, and extending the brand experience the same way that the human worker was back when everybody could be at a call center. That make sense, Dave? >> Yeah. I mean, what I think I like about this conversation Glenn is it's not an either/or, it's not a zero-sum game, which it kind of, they sort of used to be, I mean we've talked about this before humans and machines have always replaced humans at certain tasks, but it never really had cognitive tasks. And that's why I think there's a lot of fear out there, but what you're talking about is, is a potential to amplify both human and digital capabilities. And I think that people might look at that and say, well, wait a minute. Isn't it a zero-sum game, but it but it's not. Explain why. >> Yeah. So we're never finding the zero-sum game, because there is always something for people to do, right? And so, you know I talked about the one amplification of digital worker at Anthem. Let me switch to an amplification of a human worker. So state of Rhode Island, you know, we had the great honor to work with their governor and their department of health and human services around again, around the whole COVID thing. We started out just answering basic questions and helping with contact racing. And then, from there, we moved into, you know helping them with their data in AI, being able to answer questions. Why are there hotspots? Why, you know, should I shut this portion of the city down? Should I shut bars down? Should I do this? And the governor and the health and human services director were constantly saying in press briefings in the morning. Well, you know, we learned from our partners IBM that we want to consider this, right? And we did pinpoint vaccinations and other things like that. To me, that's that whole continuum. So, you know, we liberated some people from one spot. They went to work in another spot, all human beings guided by AI. So, you know, I think this is all about, you know for the first time in our lives, being able to realize sort of the, the vaulted member experience or client experience that everybody's already talked about using a blend of digital workers and human workers. It's just, it's all about the experience I think. >> I mean, you're, you're laying out some really good outcomes and you mentioned some of the, you know, the folks in the military, the healthcare examples and I'm struck because if you think about the, look at the numbers, I mean the productivity gains over the last 20 years particularly in the US and Europe, it's not the case for China because their productivity is exploding, but but it's gone down. And so when you think about the big problems that we face in society: climate change, income inequality, I mean these are big chewy problems that, you know aren't going to, humans, you just can't throw humans at the problem that's, that's been been proven. And I'm curious as to if, you know how you see it in terms of some of those other outcomes of, and the potential that is there. And, can you give us a glimpse as to what tech is involved underneath all of this? >> Sure. So, you know the first one outcomes you know that whole picture changes with the business cycle, right? I'd love to tell you that it's always these three outcomes, but, you know during downturns and business cycles cost-based outcomes are, you know, are paramount, because people are thinking about survival, right? In upticks, people are worried about, you know converting new business, growth, they're worried about net promoter score, they're worried about experience score. And then over the last 12 to 18 months, you know we've seen this whole concept of carbon footprint and sustainability all tied into the outcomes. So, hey, did you realize that shifting these 22 legacy applications from here to the cloud would reduce your carbon footprint by 3%? No. Right? And so, the big hitters are always, you know, the, the cost metric, the sort of time to value or the whole cycle time and the process and net promoter score. Those are generally in all of the, you know all the plays, obviously the bookends, you know around what's happening with, you know, the the economy, what's happening with carbon, what's happening with sustainability are always in there. Now on the technology side, boy, that's the cool part about working for IBM, right? Is that there's a new thing that shows up on my door every two weeks from either the math and science labs, or from a new ecosystem partner. And that's one of the things that I will say about you know, over the last 12 to 15 months, you've seen this massive shift from IBM to go away from pure blue, to embrace the whole ecosystem. So, you know, Dave the stuff I work with every day is you know, AI, computer vision, blockchain, automation, quantum, connected operations, not just software robots but now human robots, digital twin, all these things where we are digitally rendering what used to be a very paper-based legacy, right? So, boy, I couldn't be more excited to be a part of that. And then now with the opening up to all the hyperscalers, the Microsoft, the Google, the Amazon, the, you know, Salesforce, Adobe, all those folks, it's like a candy store. And quite honestly, my single greatest challenge is to kind of bring all of that together and point it at a series of three or four buyers at a chief marketing officer, experience officer for the whole customer piece. At a chief human resource officer around the town piece and at a CFO or a chief procurement officer for finance and supply chain. I'm sorry to answer, so, you know, long-winded, but it's, it's awesome out there. >> That was a great answer. And I think, you know, I joked the other day, Glenn that Milton Friedman must be turning over in his grave because he said, you know the only job of a company is to make profits for its shareholders and increase shareholder value. But, ironically, you know things like ESG, sustainability, climate change, they actually make business sense. So it's really not antithetical to, you know Friedman economics necessarily, but it's a good business. And I think, I think the other thing that I'm excited about is that there is some like deep tech we're seeing an explosion of of something as fundamental as processing power like we've never seen before, but he talks about, you know Moore's law being dead well, okay. With the doubling of of processor performance every 24 months, we're now at a quadrupling when you include GPU's and NPUs and accelerators and all that. I mean, that is going to power the the next wave of machine intelligence. And that really is exciting. >> Yeah. I, you know, it's I feel blessed every day to come to work that you know, I can, amass all these technologies and change how human beings experience service. I mean that's, man, that whole service experience that's what I've lived for, for, you know two and a half decades in my career, is to not to just to make and deploy stuff that's cool technically, but to change people's lives. I mean, that's it for me, that's, you know, that's that's the way that I want to ride, so I couldn't be more excited to do that stuff. >> Well Glenn thanks so much for coming on your passion shows right through the camera. And hopefully we're, face-to-face, you know, sometime soon maybe, maybe later on this year, but for sure. Knock on wood, 2022. All right. Hey, great to see you, thank you so much >> Dave. Same to you, thanks. Have a great rest of the day. >> All right, thank you. And thanks for following along with our continuing broadcast of IBM Think 2021, you're watching the cube the leader, digital tech coverage, be right back.

Published Date : May 12 2021

SUMMARY :

Think 2021 brought to you by IBM. Glenn, great to see you again. always a lot of fun to chat. Maybe you could talk a little bit I mean, that's really the winner is when I mean, a lot of the, you see a lot And to do that, you I mean, the downside, you mentioned RPA the last 12 to 15 months is, is a potential to amplify And so, you know I talked about the one of the, you know, the the first one outcomes you know And I think, you know, I you know, I can, amass you know, sometime soon Have a great rest of the day. the leader, digital tech

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Dominique Dubois, IBM | IBM Think 2021


 

>> Announcer: From around the globe, it's theCUBE, with digital coverage of IBM Think 2021, brought to you by IBM. >> Hey, welcome to theCUBE's coverage of IBM Think, the digital event experience. I'm your host, Lisa Martin, welcoming back to the program one of our CUBE alumn. Dominique Dubois joins me. She's the Global Strategy and Offerings Executive in the Business Transformation Services of IBM. Dominique, it's great to talk to you again. >> Hi Lisa, great to be with you today. >> So we're going to be talking about the theme of this interview. It's going to be the ROI of AI for business. We've been talking about AI emerging technologies for a long time now. We've also seen a massive change in the world. I'd love to talk to you about how organizations are adopting these emerging technologies to really help transform their businesses. And one of the things that you've talked about in the past, is that there's these different elements of AI for business. One of them is trust, right, the second is ease of use, and then there's this importance of data in all of these important emerging technologies that require so much data. How do those elements of AI come together to help IBM's clients be able to deliver the products and services that their customers are depending on? >> Yeah. Thank you, Lisa. So, when we look at AI and AI solutions with our clients, I think how that comes together is in the way in which we don't look at AI, or AI application solution, independently, right. We're looking at it and we're applying it within our customer's operations with respect to the work that it's going to do, with respect to the part of the operations and the workflow and the function that it sits in, right. So the idea around trust and ease of use and the data that can be leveraged in order to kind of create that AI and allow that AI to be self-learning and continue to add value really is fundamental around how we design and how we implement it within the workflow itself. And how we are working with the employees, with the actual humans, that are going to be touching that AI, right, to help them with new skills that are required to work with AI, to help them with what we call the new ways of working, right, 'cause it's that adoption that really is critical to get the use of AI in enterprises at scale. >> That adoption that you just mentioned, that's critical. That can be kind of table stakes. But what we've seen in the last year is that we've all had to pivot, multiple times, and be reactionary, or reactive, to so many things out of our control. I'm curious what you've seen in the last year in terms of the appetite for adoption on the employees front. Are they more willing to go, all right, we've got to change the way we do things, and it's probably going to be, some of these are going to be permanent? >> Yeah. Lisa, we've absolutely seen a huge rise in the adoption, right, or in the openness, the mindset. Let's just call it the mindset, right. It's more of an open mindset around the use of technology, the use of technology that might be AI backed or AI based, and the willingness to, and I will say, the willingness to try is really then what starts that journey of trust, right. And we're seeing that open up in spades. >> That is absolutely critical. It's just the willingness, being open-minded enough to go, all right, we've got to do this, so we've got to think about this. We don't really have any other choices here. Things are changing pretty quickly. So talk to me, in this last year of change, we've seen massive disruptions and some silver linings for sure, but I'd love to know what IBM and the state of Rhode Island have done together in its challenging time. >> Yeah, so, really interesting partnership that we started with the state of Rhode Island. Obviously, I think this year, there's been lots of things. One of them has been speed, so everything that we had to do has been with haste, right, with urgency. And that's no different than what we did with the state of Rhode Island. The governor there, Gina Raimondo, she took very swift action, right, when the pandemic started. And one of the actions she took was to partner with private firms, such as IBM and others, to really help get her economy back open. And that required a lot of things. One of them, as you mentioned, trust, right, was a major part of what the governor there needed with her citizenships, with her citizens, excuse me, in order to be able to open back up the economy, right. And so, a key pillar of her program, and with our partnership, was around the AI-backed solutions that we brought to the state of Rhode Island, so inclusive of contact tracing, inclusive of work that we had provided around AI-based analytics that allowed really the governor to speak to citizens with hard facts quickly, almost real time, right, and start to build that trust, but also competence, and competence was the main, one of the main things that was required during this pandemic time. And so, there were, through this, the AI-based solutions that we provided, which were, there were many pillars, we were able to help Rhode Island not only open their economy, but they were one of the only states that had their schools open in the fall, and as a parent, I always see that as a litmus, if you will, of how our state is doing, right. And so they opened in the fall, and they, as far as I know, have stayed open. And I think part of that was from the AI-based contact tracing, the AI-backed virtual, sorry, AI analytics, the analytics suite around infections and predictions and what we were able to provide the governor in order to make swift decisions and take action. >> That's really impressive. That's one of the challenges I've had living in California, is you (mumbles) you are going to be data-driven than actually be data-driven, but the technology, living in Silicon Valley, the technology is there to be able to facilitate that, yet there was such a disconnect, and I think that's, you bring up the word confidence, and customers need confidence, citizens need confidence, knowing that what we've seen in the last year has shown in a lot of examples that real time isn't a nice-to-have anymore, it's a requirement. I mean, this is clearly life-and-death situations. That's a great example of how a state came to IBM to partner and say, how can we actually leverage emerging technologies like AI to really and truly make real-time data-driven decisions that affect every single person in our state. >> Mm-hmm. Absolutely, absolutely! Really, really, I think, a great example of the public-private partnerships that are really popping up now, more and more so because of that sense of urgency and that need to build greater ecosystems to create better solutions. >> So that's a great example in healthcare, one that our government in public health, and I think everybody, it will resonate with everybody here, but you've also done some really interesting work that I want to talk about with AI-driven insights into supply chain. We've also seen massive changes to supply chain, and so many organizations having to figure out, whether they were brick-and-mortar only, changing that, or really leveraging technology to figure out where do we need to be distributing products and services, where do we need to be investing. Talk to me about Bestseller India, and what it is that you guys have done there with intelligent workflows to really help them transform their supply chain. >> Yeah, Bestseller India, really great, hugely successful fashion forward company in India, and that term fashion forward always is mind boggling to me because basically, these are clothing retailers who go from runway to store within a matter of days, couple of weeks, which always is just hugely impressive, right, just what goes into that. And when you think about what happens in a supply chain to be able to do that, the requirements around demand forecasting, what quantities, of what style, what design, to what stores, and you think about the India market, which is notoriously a difficult market, lots of micro-segments, and so very difficult to serve. And then you couple that what's been happening from an environmental sustainability perspective, right. I think every industry has been looking more about how they can be more environmentally sustainable, and the clothing industry is no different. And when, and there is a lot of impact, right, so a stat that really has hit home with me, right: 20% of all the clothes that are made globally goes unsold. That's all a lot of clothing, that's a lot of material, and that's a lot of environmental product that goes into creating it. And so, Bestseller India really took it to heart to become not only more environmentally sustainable, but to help itself and be digitally ready for things like the pandemic that ultimately hit. And they were in a really good position. And we worked with them to create something called Fabric AI. So Fabric AI is India's only, first and only, AI-based platform that drives their supply chain, so it drives not only their decisions on what design should they manufacture, but it also helps to improve the entire workflow of what we call design to store. And the AI-based solution is really revolutionary, right, within India, but I think it's pretty revolutionary globally, right, globally as well. And it delivered really big impact, so, reductions in the cost, right, 15-plus reduction in cost. It helped their top line, so they saw a 5% plus top line, but it also reduced their unsold inventory by 5% and more, right. They're continuing to focus on that environmental sustainability that I think is a really important part of their DNA, right, the Bestseller India's DNA. >> And it's one that so many companies and other industries can learn from. I was reading in that case study on Bestseller India on the IBM website that I think it was 40 liters of water to make a cotton shirt. And to your point about the percentage of clothing that actually goes unsold and ends up in landfills, you see there the opportunity for AI to unlock the visibility that companies in any industry need to determine what is the demand that we should be filling, where should it be distributed, where should we not be distributing things. And so I think it was an interesting kind of impetus that Bestseller India had about one of their retail lines or brands was dropping in revenue, but they had been able to apply this technology to other areas of the business and make a pretty big impact. >> Yeah, absolutely. So they had been been very fortunate to have 11 years of growth, right, in all of their brands. And then one of their brands kind of hit headwinds, but the CIO and head of supply chain at that time really had the foresight to be able to say, you know what, we're hitting a problem, one of our brands, but this really is indicative of a more systemic problem. And that problem was lack of transparency, lack of data-driven, predictive, and automation to be able to drive a more effective and efficient kind of supply chain in the end, so, really had the forethought to dive into that and fix it. >> Yeah. And now talk to me about IBM Garage Band, and how's that, how did that help in this particular case? >> Yeah. So, in order to do this, right, it was, they had no use of AI, no use of automation, at the time that we started this. And so to really not only design and build and execute on Fabric AI, but to actually focus on the adoption, right, of AI within the business, we really needed to bring together the leaders across many lines of businesses, IT and HR, right. And when you think about pulling all of these different units together, we used our IBM Garage approach, which really is, there are many attributes and many facets of the IBM Garage, but I think one of the great results of using our IBM Garage approach is being able to pull from across all those different businesses, all of which may have some different objectives, right, they're coming from a different lens, from a different space, and pulling them together around one focus mission, which for here was Fabric AI. And we were able to actually design and build this in less than six months, which I think is pretty dramatic and pretty incredible from a speed and acceleration perspective. But I think even more so was the adoption, was the way in which we had, through all of it, already been working with the employees 'cause it's really touched almost every part of Bestseller India, so really being able to work with them and all the employees to make sure that they were ready for these new ways of working, that they had the right skills, that they had the right perspective, and that it was going to be adopted. >> That, we, if we unpack that, if we had time, that can be a whole separate conversation because the important, the most important thing about adoption is the cultures of these different business units have to come together. You said you rolled this out in a very short period of time, but you also were taking the focus on the employees. They need to understand the value in it. why they should be adopting it. And changing that culture, that's a whole other separate conversation, but that's an, that's a very interesting and very challenging thing to do. I wish we had more time to talk about that one. >> Yeah. It really is an, that the approach of bringing everyone together, it makes it just very dynamic, which is what's needed when you have all of those different lenses coming together, so, yeah. >> It is, 'cause you get a little bit of thought diversity as well when we're using AI. Well, Dominic, thank you for joining me today. Talked to me about what you guys are doing with many different types of customers, how you're helping them to integrate emerging technologies to really transform their business and their culture. We appreciate your time. >> Well, thank you, Lisa. Thanks >> For Dominique Dubois, I'm Lisa Martin. You're watching theCUBE's coverage of IBM Think, the digital event. (upbeat music)

Published Date : May 12 2021

SUMMARY :

brought to you by IBM. to talk to you again. And one of the things that and allow that AI to be self-learning and it's probably going to be, and the willingness to, and I will say, and the state of Rhode Island really the governor to speak to citizens the technology is there to and that need to build greater ecosystems need to be distributing in a supply chain to be able to do that, And to your point about to be able to say, And now talk to me about IBM Garage Band, and all the employees to make sure And changing that culture, It really is an, that Talked to me about what you guys are doing the digital event.

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Breaking Analysis: Why Apple Could be the Key to Intel's Future


 

>> From theCUBE studios in Palo Alto, in Boston bringing you data-driven insights from theCUBE and ETR. This is Breaking Analysis with Dave Vellante >> The latest Arm Neoverse announcement further cements our opinion that it's architecture business model and ecosystem execution are defining a new era of computing and leaving Intel in it's dust. We believe the company and its partners have at least a two year lead on Intel and are currently in a far better position to capitalize on a major waves that are driving the technology industry and its innovation. To compete our view is that Intel needs a new strategy. Now, Pat Gelsinger is bringing that but they also need financial support from the US and the EU governments. Pat Gelsinger was just noted as asking or requesting from the EU government $9 billion, sorry, 8 billion euros in financial support. And very importantly, Intel needs a volume for its new Foundry business. And that is where Apple could be a key. Hello, everyone. And welcome to this week's weekly bond Cube insights powered by ETR. In this breaking analysis will explain why Apple could be the key to saving Intel and America's semiconductor industry leadership. We'll also further explore our scenario of the evolution of computing and what will happen to Intel if it can't catch up. Here's a hint it's not pretty. Let's start by looking at some of the key assumptions that we've made that are informing our scenarios. We've pointed out many times that we believe Arm wafer volumes are approaching 10 times those of x86 wafers. This means that manufacturers of Arm chips have a significant cost advantage over Intel. We've covered that extensively, but we repeat it because when we see news reports and analysis and print it's not a factor that anybody's highlighting. And this is probably the most important issue that Intel faces. And it's why we feel that Apple could be Intel's savior. We'll come back to that. We've projected that the chip shortage will last no less than three years, perhaps even longer. As we reported in a recent breaking analysis. Well, Moore's law is waning. The result of Moore's law, I.e the doubling of processor performance every 18 to 24 months is actually accelerating. We've observed and continue to project a quadrupling of performance every two years, breaking historical norms. Arm is attacking the enterprise and the data center. We see hyperscalers as the tip of their entry spear. AWS's graviton chip is the best example. Amazon and other cloud vendors that have engineering and software capabilities are making Arm-based chips capable of running general purpose applications. This is a huge threat to x86. And if Intel doesn't quickly we believe Arm will gain a 50% share of an enterprise semiconductor spend by 2030. We see the definition of Cloud expanding. Cloud is no longer a remote set of services, in the cloud, rather it's expanding to the edge where the edge could be a data center, a data closet, or a true edge device or system. And Arm is by far in our view in the best position to support the new workloads and computing models that are emerging as a result. Finally geopolitical forces are at play here. We believe the U S government will do, or at least should do everything possible to ensure that Intel and the U S chip industry regain its leadership position in the semiconductor business. If they don't the U S and Intel could fade to irrelevance. Let's look at this last point and make some comments on that. Here's a map of the South China sea in a way off in the Pacific we've superimposed a little pie chart. And we asked ourselves if you had a hundred points of strategic value to allocate, how much would you put in the semiconductor manufacturing bucket and how much would go to design? And our conclusion was 50, 50. Now it used to be because of Intel's dominance with x86 and its volume that the United States was number one in both strategic areas. But today that orange slice of the pie is dominated by TSMC. Thanks to Arm volumes. Now we've reported extensively on this and we don't want to dwell on it for too long but on all accounts cost, technology, volume. TSMC is the clear leader here. China's president Xi has a stated goal of unifying Taiwan by China's Centennial in 2049, will this tiny Island nation which dominates a critical part of the strategic semiconductor pie, go the way of Hong Kong and be subsumed into China. Well, military experts say it was very hard for China to take Taiwan by force, without heavy losses and some serious international repercussions. The US's military presence in the Philippines and Okinawa and Guam combined with support from Japan and South Korea would make it even more difficult. And certainly the Taiwanese people you would think would prefer their independence. But Taiwanese leadership, it ebbs and flows between those hardliners who really want to separate and want independence and those that are more sympathetic to China. Could China for example, use cyber warfare to over time control the narrative in Taiwan. Remember if you control the narrative you can control the meme. If you can crawl the meme you control the idea. If you control the idea, you control the belief system. And if you control the belief system you control the population without firing a shot. So is it possible that over the next 25 years China could weaponize propaganda and social media to reach its objectives with Taiwan? Maybe it's a long shot but if you're a senior strategist in the U S government would you want to leave that to chance? We don't think so. Let's park that for now and double click on one of our key findings. And that is the pace of semiconductor performance gains. As we first reported a few weeks ago. Well, Moore's law is moderating the outlook for cheap dense and efficient processing power has never been better. This slideshows two simple log lines. One is the traditional Moore's law curve. That's the one at the bottom. And the other is the current pace of system performance improvement that we're seeing measured in trillions of operations per second. Now, if you calculate the historical annual rate of processor performance improvement that we saw with x86, the math comes out to around 40% improvement per year. Now that rate is slowing. It's now down to around 30% annually. So we're not quite doubling every 24 months anymore with x86 and that's why people say Moore's law is dead. But if you look at the (indistinct) effects of packaging CPU's, GPU's, NPUs accelerators, DSPs and all the alternative processing power you can find in SOC system on chip and eventually system on package it's growing at more than a hundred percent per annum. And this means that the processing power is now quadrupling every 24 months. That's impressive. And the reason we're here is Arm. Arm has redefined the core process of model for a new era of computing. Arm made an announcement last week which really recycle some old content from last September, but it also put forth new proof points on adoption and performance. Arm laid out three components and its announcement. The first was Neoverse version one which is all about extending vector performance. This is critical for high performance computing HPC which at one point you thought that was a niche but it is the AI platform. AI workloads are not a niche. Second Arm announced the Neoverse and two platform based on the recently introduced Arm V9. We talked about that a lot in one of our earlier Breaking Analysis. This is going to performance boost of around 40%. Now the third was, it was called CMN-700 Arm maybe needs to work on some of its names, but Arm said this is the industry's most advanced mesh interconnect. This is the glue for the V1 and the N2 platforms. The importance is it allows for more efficient use and sharing of memory resources across components of the system package. We talked about this extensively in previous episodes the importance of that capability. Now let's share with you this wheel diagram underscores the completeness of the Arm platform. Arms approach is to enable flexibility across an open ecosystem, allowing for value add at many levels. Arm has built the architecture in design and allows an open ecosystem to provide the value added software. Now, very importantly, Arm has created the standards and specifications by which they can with certainty, certify that the Foundry can make the chips to a high quality standard, and importantly that all the applications are going to run properly. In other words, if you design an application, it will work across the ecosystem and maintain backwards compatibility with previous generations, like Intel has done for years but Arm as we'll see next is positioning not only for existing workloads but also the emerging high growth applications. To (indistinct) here's the Arm total available market as we see it, we think the end market spending value of just the chips going into these areas is $600 billion today. And it's going to grow to 1 trillion by 2030. In other words, we're allocating the value of the end market spend in these sectors to the marked up value of the Silicon as a percentage of the total spend. It's enormous. So the big areas are Hyperscale Clouds which we think is around 20% of this TAM and the HPC and AI workloads, which account for about 35% and the Edge will ultimately be the largest of all probably capturing 45%. And these are rough estimates and they'll ebb and flow and there's obviously some overlap but the bottom line is the market is huge and growing very rapidly. And you see that little red highlighted area that's enterprise IT. Traditional IT and that's the x86 market in context. So it's relatively small. What's happening is we're seeing a number of traditional IT vendors, packaging x86 boxes throwing them over the fence and saying, we're going after the Edge. And what they're doing is saying, okay the edge is this aggregation point for all these end point devices. We think the real opportunity at the Edge is for AI inferencing. That, that is where most of the activity and most of the spending is going to be. And we think Arm is going to dominate that market. And this brings up another challenge for Intel. So we've made the point a zillion times that PC volumes peaked in 2011. And we saw that as problematic for Intel for the cost reasons that we've beat into your head. And lo and behold PC volumes, they actually grew last year thanks to COVID and we'll continue to grow it seems for a year or so. Here's some ETR data that underscores that fact. This chart shows the net score. Remember that's spending momentum it's the breakdown for Dell's laptop business. The green means spending is accelerating and the red is decelerating. And the blue line is net score that spending momentum. And the trend is up and to the right now, as we've said this is great news for Dell and HP and Lenovo and Apple for its laptops, all the laptops sellers but it's not necessarily great news for Intel. Why? I mean, it's okay. But what it does is it shifts Intel's product mix toward lower margin, PC chips and it squeezes Intel's gross margins. So the CFO has to explain that margin contraction to wall street. Imagine that the business that got Intel to its monopoly status is growing faster than the high margin server business. And that's pulling margins down. So as we said, Intel is fighting a war on multiple fronts. It's battling AMD in the core x86 business both PCs and servers. It's watching Arm mop up in mobile. It's trying to figure out how to reinvent itself and change its culture to allow more flexibility into its designs. And it's spinning up a Foundry business to compete with TSMC. So it's got to fund all this while at the same time propping up at stock with buybacks Intel last summer announced that it was accelerating it's $10 billion stock buyback program, $10 billion. Buy stock back, or build a Foundry which do you think is more important for the future of Intel and the us semiconductor industry? So Intel, it's got to protect its past while building his future and placating wall street all at the same time. And here's where it gets even more dicey. Intel's got to protect its high-end x86 business. It is the cash cow and funds their operation. Who's Intel's biggest customer Dell, HP, Facebook, Google Amazon? Well, let's just say Amazon is a big customer. Can we agree on that? And we know AWS is biggest revenue generator is EC2. And EC2 was powered by microprocessors made from Intel and others. We found this slide in the Arm Neoverse deck and it caught our attention. The data comes from a data platform called lifter insights. The charts show, the rapid growth of AWS is graviton chips which are they're custom designed chips based on Arm of course. The blue is that graviton and the black vendor A presumably is Intel and the gray is assumed to be AMD. The eye popper is the 2020 pie chart. The instant deployments, nearly 50% are graviton. So if you're Pat Gelsinger, you better be all over AWS. You don't want to lose this customer and you're going to do everything in your power to keep them. But the trend is not your friend in this account. Now the story gets even gnarlier and here's the killer chart. It shows the ISV ecosystem platforms that run on graviton too, because AWS has such good engineering and controls its own stack. It can build Arm-based chips that run software designed to run on general purpose x86 systems. Yes, it's true. The ISV, they got to do some work, but large ISV they have a huge incentives because they want to ride the AWS wave. Certainly the user doesn't know or care but AWS cares because it's driving costs and energy consumption down and performance up. Lower cost, higher performance. Sounds like something Amazon wants to consistently deliver, right? And the ISV portfolio that runs on our base graviton and it's just going to continue to grow. And by the way, it's not just Amazon. It's Alibaba, it's Oracle, it's Marvell. It's 10 cents. The list keeps growing Arm, trotted out a number of names. And I would expect over time it's going to be Facebook and Google and Microsoft. If they're not, are you there? Now the last piece of the Arm architecture story that we want to share is the progress that they're making and compare that to x86. This chart shows how Arm is innovating and let's start with the first line under platform capabilities. Number of cores supported per die or, or system. Now die is what ends up as a chip on a small piece of Silicon. Think of the die as circuit diagram of the chip if you will, and these circuits they're fabricated on wafers using photo lithography. The wafers then cut up into many pieces each one, having a chip. Each of these pieces is the chip. And two chips make up a system. The key here is that Arm is quadrupling the number of cores instead of increasing thread counts. It's giving you cores. Cores are better than threads because threads are shared and cores are independent and much easier to virtualize. This is particularly important in situations where you want to be as efficient as possible sharing massive resources like the Cloud. Now, as you can see in the right hand side of the chart under the orange Arm is dramatically increasing the amount of capabilities compared to previous generations. And one of the other highlights to us is that last line that CCIX and CXL support again Arm maybe needs to name these better. These refer to Arms and memory sharing capabilities within and between processors. This allows CPU's GPU's NPS, et cetera to share resources very often efficiently especially compared to the way x86 works where everything is currently controlled by the x86 processor. CCIX and CXL support on the other hand will allow designers to program the system and share memory wherever they want within the system directly and not have to go through the overhead of a central processor, which owns the memory. So for example, if there's a CPU, GPU, NPU the CPU can say to the GPU, give me your results at a specified location and signal me when you're done. So when the GPU is finished calculating and sending the results, the GPU just signals the operation is complete. Versus having to ping the CPU constantly, which is overhead intensive. Now composability in that chart means the system it's a fixed. Rather you can programmatically change the characteristics of the system on the fly. For example, if the NPU is idle you can allocate more resources to other parts of the system. Now, Intel is doing this too in the future but we think Arm is way ahead. At least by two years this is also huge for Nvidia, which today relies on x86. A major problem for Nvidia has been coherent memory management because the utilization of its GPU is appallingly low and it can't be easily optimized. Last week, Nvidia announced it's intent to provide an AI capability for the data center without x86 I.e using Arm-based processors. So Nvidia another big Intel customer is also moving to Arm. And if it's successful acquiring Arm which is still a long shot this trend is only going to accelerate. But the bottom line is if Intel can't move fast enough to stem the momentum of Arm we believe Arm will capture 50% of the enterprise semiconductor spending by 2030. So how does Intel continue to lead? Well, it's not going to be easy. Remember we said, Intel, can't go it alone. And we posited that the company would have to initiate a joint venture structure. We propose a triumvirate of Intel, IBM with its power of 10 and memory aggregation and memory architecture And Samsung with its volume manufacturing expertise on the premise that it coveted in on US soil presence. Now upon further review we're not sure the Samsung is willing to give up and contribute its IP to this venture. It's put a lot of money and a lot of emphasis on infrastructure in South Korea. And furthermore, we're not convinced that Arvind Krishna who we believe ultimately made the call to Jettisons. Jettison IBM's micro electronics business wants to put his efforts back into manufacturing semi-conductors. So we have this conundrum. Intel is fighting AMD, which is already at seven nanometer. Intel has a fall behind in process manufacturing which is strategically important to the United States it's military and the nation's competitiveness. Intel's behind the curve on cost and architecture and is losing key customers in the most important market segments. And it's way behind on volume. The critical piece of the pie that nobody ever talks about. Intel must become more price and performance competitive with x86 and bring in new composable designs that maintain x86 competitive. And give the ability to allow customers and designers to add and customize GPU's, NPUs, accelerators et cetera. All while launching a successful Foundry business. So we think there's another possibility to this thought exercise. Apple is currently reliant on TSMC and is pushing them hard toward five nanometer, in fact sucking up a lot of that volume and TSMC is maybe not servicing some other customers as well as it's servicing Apple because it's a bit destructive, it is distracted and you have this chip shortage. So Apple because of its size gets the lion's share of the attention but Apple needs a trusted onshore supplier. Sure TSMC is adding manufacturing capacity in the US and Arizona. But back to our precarious scenario in the South China sea. Will the U S government and Apple sit back and hope for the best or will they hope for the best and plan for the worst? Let's face it. If China gains control of TSMC, it could block access to the latest and greatest process technology. Apple just announced that it's investing billions of dollars in semiconductor technology across the US. The US government is pressuring big tech. What about an Apple Intel joint venture? Apple brings the volume, it's Cloud, it's Cloud, sorry. It's money it's design leadership, all that to the table. And they could partner with Intel. It gives Intel the Foundry business and a guaranteed volume stream. And maybe the U S government gives Apple a little bit of breathing room and the whole big up big breakup, big tech narrative. And even though it's not necessarily specifically targeting Apple but maybe the US government needs to think twice before it attacks big tech and thinks about the long-term strategic ramifications. Wouldn't that be ironic? Apple dumps Intel in favor of Arm for the M1 and then incubates, and essentially saves Intel with a pipeline of Foundry business. Now back to IBM in this scenario, we've put a question mark on the slide because maybe IBM just gets in the way and why not? A nice clean partnership between Intel and Apple? Who knows? Maybe Gelsinger can even negotiate this without giving up any equity to Apple, but Apple could be a key ingredient to a cocktail of a new strategy under Pat Gelsinger leadership. Gobs of cash from the US and EU governments and volume from Apple. Wow, still a long shot, but one worth pursuing because as we've written, Intel is too strategic to fail. Okay, well, what do you think? You can DM me @dvellante or email me at david.vellante@siliconangle.com or comment on my LinkedIn post. Remember, these episodes are all available as podcasts so please subscribe wherever you listen. I publish weekly on wikibon.com and siliconangle.com. And don't forget to check out etr.plus for all the survey analysis. And I want to thank my colleague, David Floyer for his collaboration on this and other related episodes. This is Dave Vellante for theCUBE insights powered by ETR. Thanks for watching, be well, and we'll see you next time. (upbeat music)

Published Date : May 1 2021

SUMMARY :

This is Breaking Analysis and most of the spending is going to be.

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Victor Korompis, Bank Mandiri | Red Hat Summit 2021 Virtual Experience


 

[Music] welcome back to red hat summit 2021 my name is dave vellante and you're watching the cube where we go out to the events and extract the signal from the noise of course virtually in this case and i'm pleased to welcome victor carumpus who is the senior vice president of digital banking at bank mandiri coming in from jakarta welcome to the cube victor great to see you hi dave great to see you and great to be invited here thank you yeah you're very welcome i i wonder if you could just give us an overview of the bank maybe talk a little bit about your strategy your customers you know what the what the focus is of your company and what your role is there okay uh maybe i'm i'll give a short overview about bang mandir itself so bang money is a state-owned enterprise owned by the government but we also public company currently we already have a very big distribution channel in so uh you know indonesia is an island country it's very huge country so we are we are representing all over indonesia from province of aceh and i'm up to profits of papua and we have about 2600 branches all over indonesia and about uh 15 000 atms all over indonesia so bangladesh itself is focused on a lot of segment customers like indonesia from the corporate side small medium enterprise and also retail banking now uh we are we are currently focused in turning ourselves to become having to have more digital capability and currently in our uh current situations actually it is very good uh about 95 percent of our transactions is already coming from the electronic channel so it's only about five percent that coming from the branches but we know that this is still a journey uh and we are building more digital capability and features and functions on our digital channels to our customer got it um okay and so your your your digital journey kind of coincides i guess in a way with your your your container uh adoption journey uh i think that started a few years ago um and so maybe you could talk a little bit about that i i mean in thinking about modernizing your application portfolio obviously containers been around forever but they weren't packaged in a way that could actually be easily you know utilized and now you're seeing people in i.t roles like yourself really leaning in maybe you could talk about some of the technology considerations that impacted that desire to actually leverage containers i think uh first it's about the scalability because with a monolithic architecture it's kind of difficult to scale up for only specific features by doing container microservices we have options to scale up in a very fast way because one of the features is auto scaling on the container architectures uh one monitor is a very focused on the transaction banking so you might say bangladesh is supporting the economy of the country because in a in any given time in bangladesh we we're running about four thousand transactions per seconds that's a huge transactions number and have having said that uh our channel like i told you already running about 95 percent of the transactions so scalability is always important for us because especially like like now is the the in indonesia is a festive month it's a ramadan month where muslim is actually doing fasting but at the same time actually there's a lot of needs and people do a lot of transactions and on this kind of festive seasons the transition can be increased up to 40 or 50 suddenly and that's kind of things always happen in bangladesh and we must be ready and we must have a scalability on demand now containerization is enabling us to do that other thing is about flexibility because on the old days actually when we want to set up a new environment it's very difficult and takes a lot of time and that's affecting the time to market our products by doing the containerizations and putting it on a ci cd continuous integration called the development plan platform we are we call devsecops platform that kind of things becoming automatic because we set up the devsecos platform and the third one is the consistency actually so by by doing the contact investigations we can put the the apis on our back-end apis in the container itself and actually it's deliverable environment and a consistent experience to our customer because for example we promise our customer that every transaction should be finished within two seconds from their mobile banking up to our hosts and back forward to their mobile banking is only two seconds so that kind of thing is driving us to move to the current technology which we're using containerization and micro services great okay so 4 000 transactions per second you can't can't do that on erc20 ethereum for all you crypto fans out there that's that's pretty high volume uh and if i understand it correctly victor your role is really to envision this digital environment and then ultimately make it happen from a technology standpoint is that correct that's product that's got it yeah so okay so you now have a number of of product lines and teams you're using the same container platform maybe you could share with our audience some of the best practices and learnings that that you've taken away on this journey so i think first of all we can reuse a lot of components by doing this containerization platform is different when we still use the monolithic platform like the application server of java application server uh by using containerization actually uh be providing like a service banking as a service so whenever we build a new channel for example the first one we built a new service for example like a fun transfer service but when we create another channel for example a corporate banking electronic channel or we create another uh let's say wealth management channel whatever we already built before can be reusable instantly by using this technology so uh if i might say that actually there is a lot of best practices coming by using this platform and my team get a lot of benefit in terms of faster development time and also they can deliver the product and service in a high quality manner minimize the number of errors as well you know there's a lot of choices out there obviously i wonder if you could share what led you to the choice of red hat and open shift okay so first of all before we choose the platform actually we also comparing ourselves with the with the fintechs and also with the big tech in indonesia as well so we see we see that actually they already start using kubernetes and uh their platform is quite stable and even they can support about 90 to 100 million of customers without any issues at all so when we see this uh we choose a lot of we learn about a lot of platform and we finally choose opencv because we think that openshift and we we already do our research openshift is quite stable and for banks like us that have for having 4500 transaction per seconds stability is number one uh availability is also number one now uh having said that after doing our research we choose openshift and we implemented openshift in our environment because we promise our customers to provide 99.95 percent uh availability can i just i'm sorry to interrupt you victor can you just repeat that you cut out a little bit so you you said you you promised your customers to deliver and then you cut out a little bit can you just repeat what you just said there okay so we're giving a promise to our to our customer providing a 99.95 availability so this is the starting point of our channel sure in the efficiency we have efficient also to providing four nines which is 99.99 but i mean the starting point is 99.95 and because we have that the demand that requirement that's one of the reason we choose the openshift and red hat as our technology stack platform got it okay and so i have a question um what was it like in terms of just the skills and the adoption uh for your developers uh was it was it a big gap to go from where you were to you know where you are today did you have to what kind of training did you have to do did you have to do any sort of outsourcing to accelerate that maybe you could describe that how you close that skills gap so definitely in the beginning is quite challenging because although they are using modern languages like jaffa or kotlin but uh to understand the concept and to design correctly yes we we did a lot of training to them uh it takes a it takes me about three months to give them the proper training uh in terms of building the right uh microservices platform and also to building modular architecture in terms of the customer channel because this will be the fundamental when you build it correctly in the beginning and actually at the later point you will enjoy the benefit so the first three months actually is training and doing research and development and doing a lot of trial and errors but after the three months actually we already have the right technology stack have the right models and our devsecops is already working then actually after that the speed is very fast because uh it sprints uh we do agile way of working the agiles dlc it's only one month so every one month we already have new features coming in so that's what we call a huge transformation a digital transformation inside of our bank it's three months actually not bad i mean i would i would have thought on average it's going to take five or six months to get people up to speed so three months is pretty good and i'm also inferring that you weren't just paving the cow path you weren't just saying okay let's take our traditional and then you know re refactor it to digital you had to re-envision what digital looked like because the digital is different uh than the traditional uh so so that's actually pretty good uh ramp rate i wonder if you could just go ahead and comment if you could because when you say about uh revamp so actually it's not on the id side not only but also the business side we implement new way as well so actually if clearly they're implementing a new model so they're using a design thinking and also a co-creation model where now when we building a product so we're not writing the old product in a new way no we totally building it from from scratch and involving our key customer and our stakeholder when we're building this product so actually we implementing new models what we call design thinking and also uh co-creation with our customer so that's actually changing the face of the customer electronic channel a lot and and actually when we when we want to to deploy we invite our customer to test it first we call it like usability testing if they like it we continue to design if they they don't like it they give us a feedback how they would like it to be changed and and that's we appreciate our customer feedback because customers experience is everything now yeah so so the product can be accepted if the experience on that product is really making customer uh solving their problem solving the customer problem and making them enjoying uh doing transactions in our mobile banking product i think this is a really important point for people to understand so you weren't just paving the cow path i call it you're taking the old and and just trying to refactor it and make it exactly turn it into digital you had to really think about the business the business processes the dependencies the customer experience and then bring it back um what have been some of the business outcomes of this initiative and maybe you could we then after that we can get into some of the the future plans so so the outcome uh i think this journey uh since last year uh not last year actually since no october 2019 we already started the journey uh what took us by surprise is actually the pandemic uh suddenly the first three months when we have the pandemic of coffee we are being forced to close a lot of branches for temporary because we want to avoid the pandemic situations and that time actually the the demand using our digital channel is increasing a lot but because we already prepared actually we get the benefit one of the thing is uh the business benefit is relating so during the pandemic nobody can come to the branch and mostly the account opening actually happening online so uh we even got about 9000 account opening per day which is something that we are not imagining before so uh the benefit is very clear by using this this technology actually enabling us to provide digital capability for our customer and enabling us to open more accounts we see ourselves can grow even not linear but exponentially grow by using this platform uh talking about that indonesia is a is a huge country with we have about 200 250 million populations and actually there's still a lot of people is not having a bank account at all now by doing this actually we open opportunity doing financial inclusion for those people that need a banking account now they can reach us by using the digital platform as well yeah that's an awesome story and it goes back to the to the reason the real motivator for for moving to kubernetes and containers was scale uh and and you know it's you obviously started your digital journey prior to the pandemic but a lot of customers and i'm sure you as well were were forced to speed up a portion anyway of the digital component uh because of the pandemic like you said you couldn't people couldn't walk into the branches so but now you've got some more time to think about that journey you've had a lot of learnings 2020 was like a petri dish of experimentation but but in real time having to serve customers what's the future look like for the bank's technology journey okay so basically we uh we are not stopping only on the retail side yeah uh we want to redefine our customer journey also on the wholesale side and also on the small medium enterprise there is still a lot of things that need to be done uh and required by the customer actually so uh on the on the on the sme side we want to give them easier access uh for uh financing their businesses i think when we are back to the new normal uh the business need to have funding for for starting their business again so building an sme platform for them will will help a lot and will help the country as well on the retail side actually like i told you uh we are focusing on the more financial inclusion because uh i give you example right uh from the 230 million of indonesians uh populations i think by today maybe it's only about 50 million customers that already have a banking account so there is still a lot of people that need an access faster and cheaper and more efficient way for doing banking transactions so that's this also will become our focus and the last part is actually corporate what we see now a lot of the corporate require us to open uh api connectivity doing open banking with them the government actually the central bank supporting it supporting all the banks they are trying to create an api playbooks now and then they create they want to create an api standard for all the core all the use corporate also can connect it to the bank directly using api so this is also our focus because it will help the country economy when the economy costs the transaction costs getting more efficient getting more cheaper and there's a lot of transaction can be supported by our bank as well so i think i think that's the the future that we are imagining and i'm really hope that the pandemi will be finished and we come back to the to the new normal and we can support more transactions for this country yeah you're here to that i call it the new abnormal but so this is this is a great story everybody loves to talk about disruption we do as well and but people think oh it's out with out with the old in with the new and it's not like that this is a great story victor of uh of an established incumbent that is modernizing its its applications and its digital experience and of course the incumbent has the advantage of it's a real business it has customers that has a data it has experiences it and if it can modernize its infrastructure and and it's in its application portfolio it actually has an advantage because it's got way more features way more data way more customers and more resources so victor thanks so much for coming on thecube i really appreciate you sharing your story thank you dave thank you for inviting me thank you that was our pleasure and thank you for watching red hat summit 21 this is thecube you

Published Date : Apr 28 2021

SUMMARY :

so so the outcome uh i think

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Dominique Dubois


 

(serene music) >> From around the globe, it's theCUBE, with digital coverage of IBM Think 2021, brought to you by IBM. >> Hey, welcome to theCUBE's coverage of IBM Think, the digital event experience. I'm your host, Lisa Martin, welcoming back to the program one of our CUBE alumn. Dominique Dubois joins me. She's the Global Strategy and Offerings Executive in the Business Transformation Services of IBM. Dominique, it's great to talk to you again. >> Hi Lisa, great to be with you today. >> So we're going to be talking about the theme of this interview. It's going to be the ROI of AI for business. We've been talking about AI emerging technologies for a long time now. We've also seen a massive change in the world. I'd love to talk to you about how organizations are adopting these emerging technologies to really help transform their businesses. And one of the things that you've talked about in the past, is that there's these different elements of AI for business. One of them is trust, right, the second is ease of use, and then there's this importance of data in all of these important emerging technologies that require so much data. How do those elements of AI come together to help IBM's clients be able to deliver the products and services that their customers are depending on? >> Yeah. Thank you, Lisa. So, when we look at AI and AI solutions with our clients, I think how that comes together is in the way in which we don't look at AI, or AI application solution, independently, right. We're looking at it and we're applying it within our customer's operations with respect to the work that it's going to do, with respect to the part of the operations and the workflow and the function that it sits in, right. So the idea around trust and ease of use and the data that can be leveraged in order to kind of create that AI and allow that AI to be self-learning and continue to add value really is fundamental around how we design and how we implement it within the workflow itself. And how we are working with the employees, with the actual humans, that are going to be touching that AI, right, to help them with new skills that are required to work with AI, to help them with what we call the new ways of working, right, 'cause it's that adoption that really is critical to get the use of AI in enterprises at scale. >> That adoption that you just mentioned, that's critical. That can be kind of table stakes. But what we've seen in the last year is that we've all had to pivot, multiple times, and be reactionary, or reactive, to so many things out of our control. I'm curious what you've seen in the last year in terms of the appetite for adoption on the employees front. Are they more willing to go, all right, we've got to change the way we do things, and it's probably going to be, some of these are going to be permanent? >> Yeah. Lisa, we've absolutely seen a huge rise in the adoption, right, or in the openness, the mindset. Let's just call it the mindset, right. It's more of an open mindset around the use of technology, the use of technology that might be AI backed or AI based, and the willingness to, and I will say, the willingness to try is really then what starts that journey of trust, right. And we're seeing that open up in spades. >> That is absolutely critical. It's just the willingness, being open-minded enough to go, all right, we've got to do this, so we've got to think about this. We don't really have any other choices here. Things are changing pretty quickly. So talk to me, in this last year of change, we've seen massive disruptions and some silver linings for sure, but I'd love to know what IBM and the state of Rhode Island have done together in its challenging time. >> Yeah, so, really interesting partnership that we started with the state of Rhode Island. Obviously, I think this year, there's been lots of things. One of them has been speed, so everything that we had to do has been with haste, right, with urgency. And that's no different than what we did with the state of Rhode Island. The governor there, Gina Raimondo, she took very swift action, right, when the pandemic started. And one of the actions she took was to partner with private firms, such as IBM and others, to really help get her economy back open. And that required a lot of things. One of them, as you mentioned, trust, right, was a major part of what the governor there needed with her citizenships, with her citizens, excuse me, in order to be able to open back up the economy, right. And so, a key pillar of her program, and with our partnership, was around the AI-backed solutions that we brought to the state of Rhode Island, so inclusive of contact tracing, inclusive of work that we had provided around AI-based analytics that allowed really the governor to speak to citizens with hard facts quickly, almost real time, right, and start to build that trust, but also competence, and competence was the main, one of the main things that was required during this pandemic time. And so, there were, through this, the AI-based solutions that we provided, which were, there were many pillars, we were able to help Rhode Island not only open their economy, but they were one of the only states that had their schools open in the fall, and as a parent, I always see that as a litmus, if you will, of how our state is doing, right. And so they opened in the fall, and they, as far as I know, have stayed open. And I think part of that was from the AI-based contact tracing, the AI-backed virtual, sorry, AI analytics, the analytics suite around infections and predictions and what we were able to provide the governor in order to make swift decisions and take action. >> That's really impressive. That's one of the challenges I've had living in California, is you (mumbles) you are going to be data-driven than actually be data-driven, but the technology, living in Silicon Valley, the technology is there to be able to facilitate that, yet there was such a disconnect, and I think that's, you bring up the word confidence, and customers need confidence, citizens need confidence, knowing that what we've seen in the last year has shown in a lot of examples that real time isn't a nice-to-have anymore, it's a requirement. I mean, this is clearly life-and-death situations. That's a great example of how a state came to IBM to partner and say, how can we actually leverage emerging technologies like AI to really and truly make real-time data-driven decisions that affect every single person in our state. >> Mm-hmm. Absolutely, absolutely! Really, really, I think, a great example of the public-private partnerships that are really popping up now, more and more so because of that sense of urgency and that need to build greater ecosystems to create better solutions. >> So that's a great example in healthcare, one that our government in public health, and I think everybody, it will resonate with everybody here, but you've also done some really interesting work that I want to talk about with AI-driven insights into supply chain. We've also seen massive changes to supply chain, and so many organizations having to figure out, whether they were brick-and-mortar only, changing that, or really leveraging technology to figure out where do we need to be distributing products and services, where do we need to be investing. Talk to me about Bestseller India, and what it is that you guys have done there with intelligent workflows to really help them transform their supply chain. >> Yeah, Bestseller India, really great, hugely successful fashion forward company in India, and that term fashion forward always is mind boggling to me because basically, these are clothing retailers who go from runway to store within a matter of days, couple of weeks, which always is just hugely impressive, right, just what goes into that. And when you think about what happens in a supply chain to be able to do that, the requirements around demand forecasting, what quantities, of what style, what design, to what stores, and you think about the India market, which is notoriously a difficult market, lots of micro-segments, and so very difficult to serve. And then you couple that what's been happening from an environmental sustainability perspective, right. I think every industry has been looking more about how they can be more environmentally sustainable, and the clothing industry is no different. And when, and there is a lot of impact, right, so a stat that really has hit home with me, right: 20% of all the clothes that are made globally goes unsold. That's all a lot of clothing, that's a lot of material, and that's a lot of environmental product that goes into creating it. And so, Bestseller India really took it to heart to become not only more environmentally sustainable, but to help itself and be digitally ready for things like the pandemic that ultimately hit. And they were in a really good position. And we worked with them to create something called Fabric AI. So Fabric AI is India's only, first and only, AI-based platform that drives their supply chain, so it drives not only their decisions on what design should they manufacture, but it also helps to improve the entire workflow of what we call design to store. And the AI-based solution is really revolutionary, right, within India, but I think it's pretty revolutionary globally, right, globally as well. And it delivered really big impact, so, reductions in the cost, right, 15-plus reduction in cost. It helped their top line, so they saw a 5% plus top line, but it also reduced their unsold inventory by 5% and more, right. They're continuing to focus on that environmental sustainability that I think is a really important part of their DNA, right, the Bestseller India's DNA. >> And it's one that so many companies and other industries can learn from. I was reading in that case study on Bestseller India on the IBM website that I think it was 40 liters of water to make a cotton shirt. And to your point about the percentage of clothing that actually goes unsold and ends up in landfills, you see there the opportunity for AI to unlock the visibility that companies in any industry need to determine what is the demand that we should be filling, where should it be distributed, where should we not be distributing things. And so I think it was an interesting kind of impetus that Bestseller India had about one of their retail lines or brands was dropping in revenue, but they had been able to apply this technology to other areas of the business and make a pretty big impact. >> Yeah, absolutely. So they had been been very fortunate to have 11 years of growth, right, in all of their brands. And then one of their brands kind of hit headwinds, but the CIO and head of supply chain at that time really had the foresight to be able to say, you know what, we're hitting a problem, one of our brands, but this really is indicative of a more systemic problem. And that problem was lack of transparency, lack of data-driven, predictive, and automation to be able to drive a more effective and efficient kind of supply chain in the end, so, really had the forethought to dive into that and fix it. >> Yeah. And now talk to me about IBM Garage Band, and how's that, how did that help in this particular case? >> Yeah. So, in order to do this, right, it was, they had no use of AI, no use of automation, at the time that we started this. And so to really not only design and build and execute on Fabric AI, but to actually focus on the adoption, right, of AI within the business, we really needed to bring together the leaders across many lines of businesses, IT and HR, right. And when you think about pulling all of these different units together, we used our IBM Garage approach, which really is, there are many attributes and many facets of the IBM Garage, but I think one of the great results of using our IBM Garage approach is being able to pull from across all those different businesses, all of which may have some different objectives, right, they're coming from a different lens, from a different space, and pulling them together around one focus mission, which for here was Fabric AI. And we were able to actually design and build this in less than six months, which I think is pretty dramatic and pretty incredible from a speed and acceleration perspective. But I think even more so was the adoption, was the way in which we had, through all of it, already been working with the employees 'cause it's really touched almost every part of Bestseller India, so really being able to work with them and all the employees to make sure that they were ready for these new ways of working, that they had the right skills, that they had the right perspective, and that it was going to be adopted. >> That, we, if we unpack that, if we had time, that can be a whole separate conversation because the important, the most important thing about adoption is the cultures of these different business units have to come together. You said you rolled this out in a very short period of time, but you also were taking the focus on the employees. They need to understand the value in it. why they should be adopting it. And changing that culture, that's a whole other separate conversation, but that's an, that's a very interesting and very challenging thing to do. I wish we had more time to talk about that one. >> Yeah. It really is an, that the approach of bringing everyone together, it makes it just very dynamic, which is what's needed when you have all of those different lenses coming together, so, yeah. >> It is, 'cause you get a little bit of thought diversity as well when we're using AI. Well, Dominic, thank you for joining me today. Talked to me about what you guys are doing with many different types of customers, how you're helping them to integrate emerging technologies to really transform their business and their culture. We appreciate your time. >> Well, thank you, Lisa. Thanks >> For Dominique Dubois, I'm Lisa Martin. You're watching theCUBE's coverage of IBM Think, the digital event. (upbeat music)

Published Date : Apr 21 2021

SUMMARY :

brought to you by IBM. to talk to you again. And one of the things that and allow that AI to be self-learning and it's probably going to be, and the willingness to, and I will say, and the state of Rhode Island really the governor to speak to citizens the technology is there to and that need to build greater ecosystems need to be distributing in a supply chain to be able to do that, And to your point about to be able to say, And now talk to me about IBM Garage Band, and all the employees to make sure And changing that culture, It really is an, that Talked to me about what you guys are doing the digital event.

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>>from >>Around the globe. It's the cube with digital coverage of IBM think 2021 brought to you by IBM >>Hello and welcome back to the cubes ongoing coverage of IBM Think 2021. The virtual edition, my name is David and I'm excited to introduce our next segment. We're going to dig into the intersection of machines and humans and the changing nature of work, worker productivity and the potential of humans with me is Glenn Finch, who's the global managing partner for data and ai at IBM Glenn great to see you again. Thanks for coming on. >>Dave good to be with you. Always a lot of fun to chat. >>So I'm interested in this concept that you've been working on about amplifying worker potential. You've got humans, you've got digital workers coming together and maybe you could talk a little bit about what you're seeing at that intersection. >>You know, it's um it's interesting for most of my career, I've always thought about um amplifying human worker potential. And you know I would say over the last five years we start to think about this concept of digital workers and amplifying their potential so that human potential can extend even further. What's cool is when we get them both to work together, amplifying digital worker potential. Amplifying human worker potential to radically change how services experienced by an end consumer. I mean that's really the winner is when you start seeing the end consumer, the end user fundamentally feeling the difference in the experience. >>I mean a lot of the you see a lot of the trade press and the journalists they like to focus on the sort of the negative of automation. But when you talk to people who have implemented things they take it, for example R. P. A. They're so happy that they're not have to do these menial tasks anymore. And then it sort of the interesting discussion is, okay well what are you what are you doing with your free time? What are you doing with your weekend? So how should we be thinking about that? What you what you called? Amplifying human worker potential? What has to occur for that outcome? >>You know? Um The all my life I've spent time making money for people, right? And this uh last year I was involved in a project where it fundamentally changed. It's tied to answer that exact question. You know the servicemen and women in America who are willing to risk their lives. Um you know for our country um they file claims for medical benefits. And on average it would take 15 days to get a response Actually for about 70 or 80 of them. We've taken that down to like 15 minutes and to do that. You can't just drop in a R. P. A. You can't just drop in a. I. It's not one thing right? It's this it's this seamless interaction between digital workers and human workers right? So that a lot of the more routine mundane tasks can be done by ai and robotics. But all of the really hard complex cases that only a human being can adjudicate. That's what the folks that were doing, the more monday work can can go focus on. So I mean God that's what makes me come to work every day is if I can change the life of a serviceman or woman that was willing to risk their lives for our country. So that's that's the concept now. The critical piece of what I said, it's not about implementing Ai and robotics anymore because a lot of that started to get very wrote but picking up on okay we've liberated this block of human capability. How do we reposition it? How do we re skillet? How do we get them to focus on new things? That's just as important. The human change aspect incredibly important. >>Yeah, I mean that's interesting because you're right. I mean the downside, you mentioned our P. A. A lot of it is paving the cow path and you know the human in the loop piece has been it's been missing and that's obviously changing. But what about the what about the flip side of that equation? Where you know you ask the question okay what can humans do that machines can't do that equation continues to evolve. But maybe you could talk about where you have amplified the digital worker potential. >>Yeah. So you know um one of our clients is anthem and you know we've you know they've been on a variety of programs with us to talk about this. But you know, we just recorded, um, you know, another session with them for think where, um, the chief technology officer came and talked about how they wanted to radically change their member experience. And when you think about the last year, I mean, I don't know. Dave, I know you travel a lot because I see you in all the places that I'm in, right? But I don't remember like 15 months ago, if you had to wait on the phone for two minutes, you thought it was an eternity, right? You're like, what's the matter with me? I'm a frequent flyer. I deserve a better service on this. Then as Covid started to roll around those wait times or two hours and then 30 days into Covid. If you got a call back within two days or two weeks, it was a blessing. Right? So all of our expectations changed in an instant. Right? So I have to say, over the last 12-15 months, that's where we've been spending a lot of our time in all of those human contact human touch places to radically transition the ability to be responsive, touch people with With the same experience that we had 15 months ago to get an answer back in two minutes. You can't get enough people right now to do that. And so we're forced to make sure that the digital experience is what that needs to be. So the digital worker has to be up and on and extending the brand. Experience the same way that the human worker was back when everybody could be at a call center. That makes sense. Yeah. I >>mean, I think I like about this conversation, Glenn is it's not an either or. It's not a zero sum game, which is kind of, it's sort of used to be. I mean, we've talked about this before. Humans have machines have always replaced humans at certain tasks, but never really a cognitive task. And that's why I think there's a lot of fear out there. But what you're talking about is is the potential to amplify both human and digital capabilities. And I think people might look at that and say, well wait a minute, is it isn't a zero sum game, but it's not explain why. >>Yes, So we're never finding the zero sum game because there is um there is always something for people to do, right? And so, you know, I talked about the one an amplification of digital worker at anthem, let me let me switch to an amplification of a human worker, right? So state of Rhode Island, Um you know, we had the great honor to work with their governor and their Department of Health and Human Services, around again, around the whole covid thing. We started out just answering basic questions and helping with contact tracing. And then from there we moved into helping them with their data and ai being able to answer questions. Why are there are hotspots? Why should I shut this person of the city down? Should I shut fires down? Should I do this? And the Governor and Health and human Services Director were constantly saying on press briefings in the morning. Well, you know, we learned from our partners, IBM, that we want to consider this, right? And we we did pinpoint vaccinations and and other things like that. To me, that's that whole continuum. So, you know, we liberated some people from one spot. They went to work in another spot. All human beings guided by ai so, you know, I think this is all about, you know, for the first time in our lives being able to realize sort of the vaulted member experience or client experience that everybody has already talked about using a blend of digital workers and human workers. It's just it's all about the experience. I think >>you're laying out some really good outcomes. You mentioned some of the folks in the military, the healthcare examples. Um and I'm struck because if you think about look at the numbers, I mean the productivity gains over the last 20 years, particularly in the US. and Europe, doesn't it's not the case for China the productivity exploding, but but it's gone down. And so when you think about the big problems that we face in society, um climate change, income inequality, I mean, these are big, chewy problems that, you know, what kind of humans, you just can't throw humans at the problem that's, that's been proven. Um, and I'm curious as to if you know how you see it in terms of some of those other outcomes of the potential that is there and, and, and can you give us a glimpse as to what tech is involved underneath all this? Sure. >>So, you know, um, the first of all on outcomes, you know, that whole picture changes with the business cycle, right? I'd love to tell you that it's always these three outcomes, but you know, during downturns in business cycles, costs based outcomes are, you know, are paramount because people are thinking about survival right? In upticks, people are worried about, you know, converting new business growth, they're worried about net promoter score, they're worried about experience score. And then Over the last 12 to 18 months, you know, we've seen this whole concept of carbon footprint and sustainability All tied into the outcomes. So hey, did you realize that shifting these 22 legacy applications from here to the cloud would reduce your carbon footprint by 3%? No. Right. And so, so you know, the big hitters are always, you know, the cost metric, the sort of time to value or the whole cycle time of the process and net promoter score. Those are generally in all of the, you know, all the plays, obviously the book ends, you know, around, um, what's happening with, you know, the, the economy, what's happening with carbon, what's happening with sustainability are always in there. Now, the technology side boy, that's the cool part about working for IBM, right, is that there is a new thing that shows up on my door every two weeks from either the math and science labs or from a new ecosystem partner. Right. And that's one of the things that I will say about over the last 12 to 15 months, you've seen this massive shift from IBM to to go away from pure blue to embrace the whole ecosystem. So you know, Dave the stuff I work with every day is, you know, ai computer vision, Blockchain automation, quantum uh connected operations. Uh not just software robots, but now human robots, Digital Twin, all these things where we are digitally rendering um what used to be a very paper based legacy. Right. So boy, I couldn't be more excited to be a part of that. And then now with the opening up to all the hyper scholars, the Microsoft, the google the amazon, the, you know, uh salesforce adobe, all those folks. It's like a candy store. And quite honestly, my single greatest challenge is to kind of bring all of that together and point it at a series of three or 4 buyers at a chief marketing officer experience officer for the whole customer piece, at a chief human resource officer around the town peace and at a CFO or a chief procurement officer for finance and supply chain. I'm sorry to answer. So, you know, long winded, but it's it's awesome out there. >>It was a great answer. And I think, you know, I joke the other day, glenn that Milton Friedman must be turned over his grave because he said, you know, the only job of a company has to make profits for shareholders and increase shareholder value. But but you're but but ironically, you know, things like E. S. G. Sustainability, his climate change, he said they actually make business sense. So it's really not antithetical to Friedman economics necessarily but it's good business. And I think I think the other thing that I'm excited about is that there is some like deep tech we're seeing an explosion of of something as fundamental as processing power like we've never seen before but he talks about Moore's law being dead. Well okay with the doubling of of of of processor performance every 24 months. We're now at a quadrupling when you include GPU S. And N. P. U. S. And accelerators and all. I mean that is gonna power the next wave of machine intelligence and that really is exciting. >>Yeah I am. You know it's I feel blessed every day to come to work that you know I can you know a mass all these technologies and change how human beings experience service. I mean that's man, that whole service experience. that's what I've lived for for, you know, 2.5 decades in my career is to not just just to make and deploy stuff. That's cool, technically, but to change people's lives. I mean, that's it for me. That's you know, that's that's the way that I want to ride. So I couldn't be more excited to do that stuff. Well, glad >>Thanks so much for coming on. Is your your passion shows right through the camera and hopefully we'll face to face, you know, sometime soon, maybe, maybe later on this year. But for sure Lockwood 2022. All right. Hey, great to see you. Thank you so much. >>Dave same to you. Thanks have a great rest of the day. >>All right. Thank you. And thanks for following along with our continuing broadcast of IBM think 2021 you're watching the cube the leader in digital tech coverage right back. Mhm. Yeah.

Published Date : Apr 16 2021

SUMMARY :

think 2021 brought to you by IBM Glenn great to see you again. Dave good to be with you. So I'm interested in this concept that you've been working on about amplifying worker potential. I mean that's really the winner is when you start seeing the end I mean a lot of the you see a lot of the trade press and the journalists they like to focus on the sort of the negative Um you know for our country um A lot of it is paving the cow path and you know the human in the loop piece has been it's been missing and that's But you know, we just recorded, um, you know, another session with them for And I think people might look at that and say, well wait a minute, is it isn't a zero sum game, And so, you know, I talked about the one an amplification of digital worker Um, and I'm curious as to if you know how you see it in the google the amazon, the, you know, uh salesforce adobe, And I think, you know, I joke the other day, glenn that Milton Friedman must to come to work that you know I can you know a mass all you know, sometime soon, maybe, maybe later on this year. Dave same to you. the cube the leader in digital tech coverage right back.

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Teresa Carlson Keynote Analysis | AWS re:Invent 2020


 

>>From around the globe. It's the cube with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS and our community partners. >>Hi everyone. Welcome back to the cubes. Live coverage cube live program for re:Invent 2020. This is our Q virtual. We're not in person like we normally are. Today is the AWS public sector. Worldwide celebration day. A lot of content coming from Teresa Carlson and her team and highlighting everything. Of course, the cube channel on the re:Invent events site. Well, the content we streaming there, if you go to the description, you can click on the link and check out all the on-demand interviews. We've done hundreds of videos live before the event pre recorded as well as here live today for public sector day, I'm showing Lisa Martin co-hosts of the cube. Who's been involved in a lot of those interviews. Uh, Lisa, great to see you before we good to see you. Thanks for coming on. >>Likewise. Good to see you too, John. Glad that you're staying safe. >>Well, a lot of good action. And before we get started, I do want to put a plug out for, um, some Salesforce, big party virtual event. Uh, Salesforce is having a big party at re:Invent 2020 a virtual house party with chance the rapper performing an exclusive set with surprise celebrities and DJ in residence December 10th that's tomorrow at 5:00 PM Pacific, go to salesforce.com/big party to check out chance the rapper. Uh, I'm a big fan. Of course my kids are more fans than, uh, check out the sales report. Okay. Back to cube virtual Lisa. Great to see you. >>Likewise John. So public sector day, a lot of transformation mean re:Invent being reinvented, being virtual 500,000 registered. And so, so much has changed, but a lot also that Teresa Carlson spoke about in her keynote and this morning about the transformation across the public sector, that's really been driven by necessity with COVID. It was really impressive to hear and see all of the good things that AWS is facilitating across healthcare, government, education, state, and local. You name it. >>Yeah. The thing I love about Theresa is she's always been ever since I've known her now she's been on the cube every year, since 2013, since we've been covering re:Invent, she's always had a big, bold vision, and she's always kind of stayed on that track. And this year that was really clear out of the box on her, her leadership session. You got to think big and you got to look at the value of the data. That was the key message from her, her and her group public sector, by the way, has been highly active with the COVID pandemic. A lot of public services have been leveraging Amazon cloud to serve, uh, their, their, their people, whether it's getting them the checks for entitlements or getting them, you know, pharmacy drugs and whatnot, and helping them with the pandemic. But clearly Amazon has stepped up and helped education with, with, uh, remotes. So Theresa's team has been pretty busy. So I think that they had more time to prepare for the virtual keynote. I should've gotten chock full of more announcements. >>Yeah. And also some great examples. As you mentioned, we heard from UK biobank, some of the interviews also that have already happened on the kid that you've done showed some amazing work that AWS has helped to facilitate for school districts in Los Angeles, for example, the government of Rhode Island. And those are some of the great things cabbage, what they were able to enable Kevin's to do, to deliver small business loans of so quickly. A lot of that, I thought, I wish we're hearing more about how technology is facilitating so much. Goodness, in COVID on the news. Of course, we're hearing a lot of the challenges with online learning, but there's a lot of amazing things that AWS has been able to facilitate incredibly quickly. >>You know, one of the concerns I have with Theresa and her team years and years ago was this idea of national parks, right? You know, we have spaces where we can go visit and why isn't there a cyber version of that. And so you S you saw that progression and she'd been doing a lot of deals where they're using the cloud and donating their technology for the betterment of society. And one of the things that was, um, news today was an advancement of their open data registry, which has been kind of this open commons of, you know, health data and whatnot. And now they have all the sequencing data that's searchable, readable, uh, from the national Institute of health for DNA sequencing. So this is going to be, again, more commons, like approach is starting to see that I think this is going to be a real big trend lease. >>I think you're going to start to see the big companies have to really contribute to society in a way that we've never seen before, because they have the large scale. You can donate large compute to say research projects. So you starting to see, uh, from Teresa's team, the bubbling up of these new shared experiences around technology for the betterment of society. I think that sequencing was one, the renewable energy project. Another one, again, they're investing in women owned businesses and underrepresented minorities, and at small, medium size businesses to fund them, we saw a guy launching stuff in space that can create, you know, synthetic satellites. So you can look through clouds. This is new. I mean, this is interesting. >>It is interesting. And it actually, to your point is impactful at every level across the globe, going from when they talked about we farm creating this network of small scale of farmers, connectivity was their biggest problem. And now there's over a million. I'm sure that number it's probably even bigger. I've connected farmers due to AWS. You talked about also it's the cord 19 search, which is the expansion of their open research dataset. COVID open research data set that is only possible because of cloud computing and AWS hundreds of thousands of assets in there. Um, 200 plus open data sets for genomic research. She talked about how that's been at the of some of the things that we've seen go on so quickly with operation work speed, uh, with respect to the vaccine. So a lot of acceleration when we know public sector kind of traditionally not necessarily fast movers, but of course, as we've all said, a number of times recently necessity is the mother of invention and the speed element and the connectivity element were things that really spoke loudly to me with what Teresa said today, about the importance of extracting value from data. >>You know, when I talked to Andy Jassy and he talked about this in his keynote, the digital transformation is on full display. And the necessity being the mother of invention is a great phrase, the system and sticking because you can't hide. I mean, you have to deliver these services in the public sector, or, you know, people's lives are going to be impacted in certainly this there's death involved, right? So you have that and then you've got education. I mean, people want to see that changed quicker. There's always been conscious, Oh, education has got to be re-imagined well, guess what? There's no school open. So we got to re-imagine it now. So you get a lot of pressure, unprecedented demand. She said, Theresa said, three's a crosswind actually set onstage for education change. Um, so that's huge. Right? And then the other thing that she mentioned, I think that's going to be a big focus. >>It's not as, um, you know, headline news oriented is this whole jobs training piece. Um, that's a huge deal because the, the tsunami that hits so fast on this digital transformation, because the COVID, we're going to have a post COVID era of rapid acceleration of new skills. So people gotta get trained. So this ain't going to be the boring training programs, the guy who get kind of get better. So I think you're going to see some innovation Lisa, around how people think about delivering and constructing training programs to be much more real world thinking outside the box, you're going to start to see new things. Otherwise it's just going to be too slowly, the training right now. It's just, you know, sign up for the courseware and get a certification. Yeah, you got to do those things, but how can you get sort of cases done faster? How do you get people with the skills in their hands and virtual hands, if you will, to stand up more cloud, more AI, the pressure's there. So we can, that's going to be a huge thing to watch. >>Okay. The pressure is there. You're right. And a need is there. She talked about a lot of the demand that their customers are driving for some of the services and the education services as well that they're offering. But I'd like to point about upskilling focusing on the people, not just the people, but also the diversity inclusion. And we all know how impactful thought diversity is. So their, their dedication, their in their focus there, and also her recommendation to be bold. And I think in the education, respect was really critical. There is no time like now to move digital transformation. If education systems aren't there, then you know, it's a huge challenge and it impacts every person, every element of every family. So what they're able to do there, by focusing on the people and enabling folks to get trained faster, more resources online can only be a good, you know, Theresa >>Has always, um, has her own flare to style to her. She's incredible business woman and have such respect for her. She's been so successful. Um, but she always sends her presentations with the, kind of the, the kind of her to dues. Um, and you kind of pointed that out. So just review them with you. And I want to get your reaction. Number one, she said, you got to re-imagine and enable a digital, a digitally enabled business. Number two, identify data has an realized value and then increase your diversity. And she pointed to avis.training. Um, and that's kind of her kind of get out there and do those things so digitally enabled business, get that unrealized day to get it into work and increase your diversity. And then she had had a big party every year just said, instead of a party go out and do a random act of kindness act. So, yeah, typical, three's a flare, you know, she kind of ended it with a random act of kindness, but, but her bold vision, those are practical, uh, mandates. What's your reaction to, to that? >>I bold vision. I absolutely 100% I think right now is the time that no business can afford to be hiding under the covers. We have to be, they have to be very thoughtful and very prescriptive, but be bold. There's so much opportunity right now. We're seeing a ton of invention and innovation, John, that we've seen over the last nine months. There's a lot of COVID catalysts that we've been talking about on the cube that are really fantastic. So I think that recommendation to set a bold vision is absolutely imperative, not easy to achieve, but I think right now more than ever, it could really be what sets apart, the winners and losers of tomorrow. >>Yeah. I love it. I just say that on this final note, um, cloud and AI is really in play cloud-scale machine learning, which essentially feeds AI is all about data compute going down to the chip level, AI and software and data is critical for cloud. So really awesome keynote again, leadership session by Teresa Carlson, and there's a whole site of content available. Checkout the cube page, click down on the main page. You'll see that description. You'll see a link to the re:Invent page and check on public sector. A lot of great content. Lisa final question for us to kind of close out this keynote leadership session analysis here on all sector day. I want to get your take on, um, the interviews you've done with the Amazon folks and partners and customers. What are the themes that have been boiling out of those? What have you have been hearing? What's your take and observation of the common pattern? >>You know, given the fact that we haven't all been able to be together at my last cube event in person was reinvent 2019. And we're so used to having, you know, three, four days of wall-to-wall coverage, two sides, being able to have those close personal conversations with our guests this year really did a phenomenal job of recreating that same experience, digitally there's tremendous amount of innovation happening. I think that was the one thing that really jumped out at me, the speed with which it's happening, how so many different types businesses have pivoted, not once, but again and again, and again, as times are changing and how even I yesterday I interviewed Boone, supersonic CEO, some of the things that they're facilitating to get commercial supersonic flight back that fully cloud and AI machine learning can do that. There was no stoppage of innovation this year. In fact, that actually got faster. And I think that was a resounding theme and a lot of positivity from the guests. >>You know, the cue, his business was to go to events and extract the signal from the noise. Guess what? There's no physical events. We have the cube virtual. We have pivoted. We are now in our eighth, ninth month of cube virtual. It's been a new model. We've gotten more interviews, more people can just click into the cube virtual. We have more virtual sets, the Cuban virtualized Lisa. Although I miss them in real life as a whole new ballgame for us, >>It is a whole new ball game. And it also provides a lot of opportunities for businesses to get their messaging out and connect and engage with their audience, which is important. >>Well, I miss real life. I miss everybody out there. I wish we could be there in person. Uh, the world will stay hybrid. I think with virtual, I think this has been a great format. There's been some great benefits, but we want to be in person. I want you on the desk with us. So, and all the folks out there I wish we could see. And then we'll see you next year. Thanks everyone for watching the key. This is our keynote analysis and leadership analysis of the worldwide public sector. Teresa Carlson, Kenya. I'm John from Lisa Martin. Thanks for watching.

Published Date : Dec 9 2020

SUMMARY :

It's the cube with digital coverage of Well, the content we streaming there, if you go to the description, you can click on the link and check out all the on-demand Good to see you too, John. Back to cube virtual Lisa. across the public sector, that's really been driven by necessity with COVID. You got to think big and you got to look at the value of the some of the interviews also that have already happened on the kid that you've done showed some amazing work You know, one of the concerns I have with Theresa and her team years and years ago was this idea of national parks, and at small, medium size businesses to fund them, we saw a guy launching stuff in space some of the things that we've seen go on so quickly with operation work speed, uh, And the necessity being the mother of invention is a great phrase, the system and sticking because you So this ain't going to be the boring training programs, the guy who get kind of get better. And I think in the education, respect was really And she pointed to avis.training. So I think that recommendation to set of the common pattern? You know, given the fact that we haven't all been able to be together at my last cube event in person You know, the cue, his business was to go to events and extract the signal from the noise. And it also provides a lot of opportunities for businesses to get their messaging So, and all the folks out there I wish we could see.

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Kim Majerus, AWS | AWS re:Invent 2020


 

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel and AWS. Yeah, okay. Welcome back to the cubes. Live coverage here. Reinvent 2020 for a W s amazing content happening here within across the industry on digital transformation and more, more important than ever in the public sector has been mawr impacted by anyone during the cove and pandemic. And we're here remotely with the Cube Virtual because of the pandemic. Got a great guest, Kim, a jurist. She's the leader on the U. S. Education, state and local government for a W s public sector Kim, great to see you. Thanks for coming on. Remotely, at least we get to have a remote interview. >>Well, thank you for taking the time. This is This is our world these days, so it's good to be able to connect. >>Well, thanks for coming on. We're doing some specialty programming around public sector, mainly because it's such an important area. Uh, Andy Jassy Esquina, which is for the best conference at large at reinvent talks broadly, but I think it highlights what's going on in your world and that is this facing the truth. Um, this digital transformation has been forced upon us. It's accelerated and it's get busy, busy building or get busy figuring out how it might unwind and mawr education virtual remote if we >>didn't >>have video conference, and this could have been a disaster even further, but certainly has impacted everybody in the government education. How is it impacting share with us? What's going on? >>You know, I think that difficult partisans. When we turned on the news early days there in Cove it it was clear that students weren't learning and citizens couldn't get in contact with their government to ask for support. Um, I would say it was that moment in time where the technical debt that whether your state, local or education, you had to quickly realized that you need to connect with your students and your citizens. But I take a look at how quickly they were able to turn across the US Many of them realized what usually took years, literally turned into innovating overnight to support students as well as those filing for on unemployment claims. And I think that's what we heard a lot of, and those were some of the opportunities that Amazon really took, uh, to our customers said, Hey, we can help you solve these problems with great services such as connect >>you know, Connect came up in the keynote multiple times, and he really spend time on that as a as a disruption slash enabler for value. Can you share how cloud has scaled up some of your customers? I know connects, been pretty prominent in the public sector for Covic support and really has changed in saves lives in many cases. Can you share an example of how it's worked out? >>Absolutely. I mean, Rhode Island is is a great example. They use Amazon connect. They helped the state literally address this massive surgeon of unemployment insurance applications due to Cova 19. But literally the call times and the vines were cut down in What they were able to do is answer the call, not just have it be on a fast busy or a disconnect. Whether it was Department of Labor at Rhode Island, whether it was the state of Kentucky or the state of West Virginia, all those authorities use had to deal with that surge, and they were able to do it successfully and literally, in some cases, overnight to support citizens. That's how quickly they were able to innovate and hit those call centers, Um, effectively. But it's not just about the call center, because keep in mind they would go into those call centers with connect. They were able to actually take those calls from home, and we saw that in education as well. Take a look at L. A unified school district. What they had to do to quickly transition from in person training to supporting these students remotely. They had to do it overnight, and they use connect their asses well, not only to support the students, the teachers or the staff, but they took that opportunity to really continue educating and continue serving. >>You know, one of the things I was talking anti about in my one on one interview before reinvent was necessity is the mother of all invention in these days, and I think that came from a quote from one of your customers, like interviewed when asked, You know how the innovation strategy come about, and that's what they said. They said we needed it really bad, and we had to move quickly and then Andy said in his keynote that everything is on full display right now, meaning that the pandemic is forced one and you can see who's winning and who's not based on where they are in the cloud journey. So have to ask you leaderships a big part of this. What is the trend that you're seeing within your world because, you know, government not known for moving fast. And this is a speed game at this point. Healthcare. A big part of that. You got education. Government. What's >>the >>leadership mindset on innovating right now? And can you share because, yeah, you got some easy, you know, examples. Now the point is, hey, way have connect with people were like productivity opportunity that's now the new normal. So even in life does come back. There's new new things that have been discovered. Is that resonating with your your customers? And can you share the leadership mindset? >>Absolutely. So make no mistake. It was never a question of if it was a question of when the pandemic clearly is accelerating it. But, you know, we've been working with over 6500 government agencies and collaborating with them to really focus on some of their mission critical, um called based services. So and this is the new normal. They recognize it. And it's the foundation that during the pandemic that it's been said to say, Hey, we're going to push and we're gonna push quicker because they were actually able to demonstrate that they could do it. I'll give you an example. It's It's a heartbreaking one from my perspective. Being a mom, um, l. A. County Department of Child and Family Services, They operated their analog child protection hotline. Now the numbers are are unfortunate and staggering. But when you took a look at the peak before the pandemic, the call center received as many as 21,000 reports of child abuse and neglect in a month. During those pick times, up to 100 staff members would log in and literally take 120 back to back calls per hour. Now, when you think about that legacy environment with Amazon connect, they were able to continue the service, continue the support to help these Children and available 24 7, and they were able to do it from their homes. So e mean it gives me chills, just thinking about three unfortunate situations. But they were able to quickly move and and continue to support. Yeah, >>and the thing to I want to just bring up also had a customer I interviewed from Canada. I think they were partner with a censure. They had unemployment checks, they couldn't get out, and entitlement things that were literally checks and connect stood up that in like, record time. He was convinced. He's like he was kind of Amazon fan, but he was kind of still out of Amazon. He was like, I'm convinced we're gonna use Amazon going forward. It was a tipping point for him. There's a lot of these tipping points going on right now. This has been a big theme of this reinvent so far. Yeah, cloud transition, two full cloud value. This is the new normal What? What what what can clients get when they have budget or trying to get budget when they say the benefit? The clouds are what? >>Well, I mean again, use another use case. I'll go back to another example in L. A county. So when you think about l. A county itself, um, I won't give you the exact numbers because I don't know him off the top, but approximately 10 million residents and employs over 100,000 staff again. Look at the cost savings that they saw. So, you know, technical data is a problem. Being able to invest is a challenge because of budgets, but they were able to save 60% in one year from there on prem environment and licensing costs. But the cost is one piece. If you could take 17% fewer calls and you're solving those challenges by using a i N M l. Through the technology of what they were gathering through those calls, it made a huge impact and improved their service to their citizens. So you know it. The cost savings air there. And there are so many examples that states air, recognizing that they need to move quicker because they could take advantage of those costs, especially with some of the budget challenges we're going to see across the U. S. >>And the machine learning examples are off the charts. So, Kim, I gotta ask, you going forward now in reinvent what's the big focus for you and your teams and your customers because you guys are very customer focused. You're working backers from the customers. We hear that on and on what is going on in your customer base? One of the priorities, >>um, priorities for us will always remain on the mission to which our customers are focusing on. If we think about education, the question is, how are they re imagining the the delivery and the success in this new world that we're dealing with? So we'll continue to work and innovate with our partners and with amazing All right, a text that are in our business take a look at blackboard, right? They were able to scale 50 times their normal capacity globally, literally within 24 hours they're looking at How do they continue to innovate to serve? We're gonna work with K through 12 through academic medical centers and research, because when you think about what we need is we need to find that vaccine we need to find the ability to treat and serve. We're focused on those missions with the states, the research and the education teams. >>It's been unusual year learning is changing remote learning, remote work, the workforce, the workplace, the workloads. They're all changing. Onda clouds a big part of it. Um, final question for you. What's the take away for reinvent this year means different. You mentioned some of those highlights. What's the big take away for your audience? >>I think for state local education is it's available. It's now, and they have to serve their students and citizens quit. Um, what they've been able to do in the cloud again? A zay said at the start of the interview. They can now do overnight within minutes and hours and and support their citizens. And they have to do it quickly. So, >>uh, coyote to coyote goodness for the state and local governments to >>absolutely it's going to continue. And I think the important part is focused on the opportunity of innovating and supporting the mission >>Can Great to see you. Thanks for the insight. Thanks for the update. Appreciate it. We'll be following it. A lot of great successes. You guys have been having the Cuban involved in a bunch of them and we'll continue to follow the transformation. Thanks for coming on. >>Thank you. Enjoy Sena. >>Okay. This is the Cube Virtual. I'm John for your host. Thanks for watching more coverage. Walter Wall reinvent 2020 Virtual. Thanks for watching. Yeah,

Published Date : Dec 8 2020

SUMMARY :

It's the Cube with digital Well, thank you for taking the time. talks broadly, but I think it highlights what's going on in your world and that is this facing the truth. in the government education. to our customers said, Hey, we can help you solve these problems with great services such as connect I know connects, been pretty prominent in the public sector for Covic the teachers or the staff, but they took that opportunity to really continue is the mother of all invention in these days, and I think that came from a quote from one of your customers, Now the point is, hey, way have connect with people were like productivity And it's the foundation that during the pandemic that it's been said to say, and the thing to I want to just bring up also had a customer I interviewed from Canada. Look at the cost savings that they saw. And the machine learning examples are off the charts. the delivery and the success in this new world that we're dealing with? What's the big take away for your audience? And they have to do it quickly. on the opportunity of innovating and supporting the mission Thanks for the insight. Thank you. I'm John for your host.

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Eron Kelly, AWS | AWS re:Invent 2020


 

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel and AWS. Yeah, welcome to the Cubes Live coverage of AWS reinvent 2020. I'm Lisa Martin and I have a Cube alumni joining me Next. Aaron Kelly, the GM of product marketing at AWS Aaron. Welcome back to the program. >>Thanks, Lisa. It's great to be here. >>Likewise, even though we don't get to all be crammed into Las Vegas together, uh, excited to talk to you about Amazon Connect, talk to our audience about what that is. And then let's talk about it in terms of how it's been a big facilitator during this interesting year, that is 2020. >>Great, yes, for sure. So Amazon Connect is a cloud contact center where we're really looking to really reinvent how contact centers work by bringing it into the cloud. It's an Omni Channel, easy to use contact center that allows customers to spin up contact centers in minutes instead of months. Its very scalable so can scale to 10 tens of thousands of agents. But it also scaled down when you when it's not in use and because it's got a pay as you go business model. You only pay when you're engaging with collars or customers. You're not paying for high upfront per agent fees every month. So it's really been a great service during this pandemic, as there's been a lot of unpredictable spikes in demand, uh, that customers have had to deal with across many sectors, >>and we've been talking for months now about the acceleration that Corbett has delivered with respect to digital transformation. And, of course, as patients has been wearing fin globally. I think with everybody when we're calling a contact center, we want a resolution quickly. And of course, as we all know is we all in any industry are working from home. So are they. So I can imagine during this time that being able to have a cloud contact center has been transformative, I guess, to help some businesses keep the lights on. But now to really be successful moving forward, knowing that they can operate and scale up or down as things change. >>Yeah, that's exactly right. And so one of the key benefits of connect his ability to very quickly on board and get started, you know, we have some very interesting and examples like Morrisons, which is a retailer in the UK They wanted to create a new service as you highlighted, which was a door, you know, doorstep delivery service. And so they needed to spin up a quick new contact center in order to handle those orders. They were able to do it and move all their agents remotely in about a day and be able to immediately start to take those orders, which is really powerful, you know. Another interesting example is the Rhode Island Department of Labor and Training. Which part of their responsibility is to deliver unemployment benefits for their citizens? Obviously a huge surge of demand there they were able to build an entirely new context center in about nine days to support their citizens. They went from a knave ridge of about 74 call volume sort of capacity per minute to 1000 call on capacity per minute. And in the first day of standing up this new context center, they were able to serve 75,000 Rhode Island citizens with their unemployment benefits. So really ah, great example of having that cloud scalability that ability to bring agents remotely and then helping citizens in need during a very, very difficult time, >>right? So a lot of uses private sector, public sector. What are some of the new capabilities of Amazon connected? You're announcing at reinvent. >>Yeah, So we announced five big capabilities this during reinvent yesterday that really spanned the entire experience, and our goal is to make it better for agents so they're more efficient. That actually helps customers reduce their costs but also create a better collar experience so that C sat could go up in the collars, can get what they need quickly and then move on. And so the first capability is Amazon Connect Voice I D, which makes it easier to validate that the person calling is who in fact, they say they are so in this case, Lee. So let's say you're calling in. You can opt in tow, have a voice print made of you. The next time you call in, we're able to use machine learning to match that voiceprint to know. Yes, it is Lisa. I don't need to ask Lisa questions about her mother's maiden name and Social Security number. We can validate you quickly as an agent I'm confident it's you. So I'm less concerned about things like fraud, and we can move on. That's the first great new feature. The second is Amazon Connect customer profiles. So now, once you join the call rather than me is an agent having to click around a different systems and find out your order history, etcetera. I could get that all surface to me directly. So I have that context. I can create a more personalized experience and move faster through the call. The third one is called Wisdom. It's Amazon Connect wisdom, which now based on either what you're asking me or a search that I might make, I could get answers to your questions. Push to me using machine learning. So if you may be asking about a refund policy or the next time a new product may launch, I may not know rather than clicking around and sort of finding that in the different systems is pushed right to me. Um, now the Fourth Feet feature is really time capability of contact lens for Amazon connect, and what this does is while you were having our conversation, it measures the sentiment based on what you're saying or any keywords. So let's say you called it and said, I want a refund or I want to cancel That keyword will trigger a new alert to my supervisor who can see that this call may be going in the wrong direction. Let me go help Aaron with Lisa. Maybe there's a special offer I can provide or extra assistance so I can help turn that call around and create a great customer experience, which right now it feels like it's not going in that direction. And then the last one is, um, Amazon Connect tasks where about half of an agents time is spent on task other than the call follow up items. So you're looking for a refund or you want me Thio to ship you a new version of the product or something? Well, today I might write that on a sticky note or send myself a reminder and email. It's not very tracked very well. With Amazon Connect task, I can create that task for me as a supervisor. I could then X signed those tax and I can make sure that the follow up items air prioritized. And then when I look at my work. You is an agent. I can see both calls, my chats and my task, which allows me to be more efficient. That allows me to follow up faster with you. My customer, Andi. Overall, it's gonna help lower the cost and efficiency of the Contact Center. So we're really excited about all five of these features and how they improve the entire life cycle of a customer contact. >>And that could be table stakes for any business in terms of customer satisfaction. You talked about that, but I always say, You know, customer satisfaction is inextricably linked to employee satisfaction. They need. The agents need to be empowered with that information and really time, but also to be able to look at. I want them to know why I'm calling. They should already know what I have. We have that growing expectation right as a consumer. So the agent experience the customer experience. You've also really streamline. And I could just see this being something that is like I said, kind of table stakes for an organization to reduce churn, to be able to service more customers in a shorter amount of time and also employee satisfaction, right, >>right that's that. That's exactly right. Trader Grills, which is one of our, you know, beta customers using some of these capabilities. You know, they're saying 25% faster, handle times so shorter calls and a 10% increase in customer satisfaction because now it's personalized. When you call in, I know what grill you purchased. And so I have a sense based on the grill, you purchase just what your question might be or what you know, what special offers I might have available to me and that's all pushed to me is an agent, So I feel more empowered. I could give you better service. You have, you know, greater loyalty towards my brand, which is a win for everyone, >>absolutely that empowerment of the agent, that personalization for the customer. I think again we have that growing demanded expectation that you should know why I'm calling, and you should be able to solve my problem. If you can't, I'm gonna turn and find somebody else who can do that. That's a huge risk that businesses face. Let's talk about some of the trends that you're seeing that this has been a very interesting year to say the least, what are some of the trends in the context center space that you guys were seeing that you're working Thio to help facilitate? >>Yeah, absolutely. So I think one of the biggest trends that we're seeing is this move towards remote work. So as you can imagine, with the pandemic almost immediately, most customers needed to quickly move their agents to remote work scenario. And this is where Amazon Connect was a great benefit. For as I mentioned before, we saw about 5000 new contact centers created in March in April. Um, Atiya, very beginning of the pandemic. So that was a very, uh, that's a very big trend we're seeing. And now what we're seeing is customers were saying, Hey, when I have something like Amazon Connect that's in the cloud, it scales up. It provides me a great experience. I just need really a headset in a Internet connection from my agents. I'm not dealing with VPNs and, ah, lot of the complexity that comes with trying to move on on premises system remote. We're seeing a huge, you know, search of adoption and usage around that the ability to very quickly create a new context center around specific scenarios are use cases has been really, really powerful. So, uh, those are the big trends moving to remote remote work and a trend towards, um, spinning of new context that is quickly and then spending them back down as that demand moves or or those those those situations move >>right. And as we're all experiencing, the one thing that is a given during this time is the uncertainty that remains Skilling up. Skilling down volume changes. But looking as if a lot of what's currently going on from home is going to stay for a while longer, I actually not think about it. I'm calling into whether it's, you know, cable service or whatnot. I think What about agent is actually on their couch at home like I am working? And so I think it's being able to facilitate that because is transformative, and I think I think I'll step out on limbs side, you know, very potentially impact the winners and the losers of tomorrow, making sure that the consumer experience is tailored. It's personalized to your point and that the agents are empowered in real time to facilitate a seamless and fast resolution of whatever the issue is. >>Well, and I think you hit on it earlier as well. Agents wanna be helpful. They wanna solve a customer problem. They wanna have that information at their fingertips. They wanna be on power to take action. Because at the end of their day, they want to feel like they helped people, right? And so being able to give them that information safe from wisdom or being able to see your entire customer profile, Right? Right. When you come on board or know that you are Lisa, um, and have the confidence that I'm talking to Lisa, I'm not. This is not some sort of, you know, fishing, exercise, exercise. These are all really important scenarios and features that empower the agent, lowers cost significantly for the customer and creates a much better customer experience for you. The collar? >>Absolutely. And we all know how important that is these days to get some sort of satisfying experience. Last question. Erin, talk to us about, you know, as we all look forward, Thio 2021. For many reasons. What can we expect with Amazon? Connect? >>Well, we're going to continue to listen to our customers and hear their feedback and what they need, which what we certainly anticipate is continued focus on that agent efficiency, giving agents mawr of the information they need to be successful and answer customers questions quickly, continuing to invest in machine learning as a way of doing that. So using ML to identify that you are who you say you are, finding that right information. Getting data that I can use is an agent Thio. Handle those tasks and then automate the things that you know I really shouldn't have to take steps is a human to go do so if we need to send you a follow up email when when your product ships or when your refund is issued. Let me just put that in the system once and have it happened when it executes. So that level of automation continuing to bring machine learning in to make the agent experience better and more efficient, which ultimate leads to lower costs and better see set. These are all the investments. You'll see a sui continue for it next year. >>Excellent stuff, Erin, thank you so much for joining me on the program today, ensuring what's next and the potential the impact that Amazon connect is making. >>Thanks, Lisa. It's great to be here >>for Aaron Kelly. I'm Lisa Martin. You're watching the cubes. Live coverage of AWS reinvent 2020.

Published Date : Dec 8 2020

SUMMARY :

It's the Cube with digital uh, excited to talk to you about Amazon Connect, talk to our audience about what that It's an Omni Channel, easy to use contact center that allows customers to spin up So I can imagine during this time that being able to have a cloud contact And so one of the key benefits of connect his ability to very What are some of the new capabilities of and I can make sure that the follow up items air prioritized. And I could just see this being something that is like I said, kind of table stakes for an organization to And so I have a sense based on the grill, you purchase just what your question might be or what you the least, what are some of the trends in the context center space that you guys were seeing that you're working So as you can imagine, with the pandemic almost immediately, most customers needed to that the agents are empowered in real time to facilitate a seamless These are all really important scenarios and features that empower the agent, Erin, talk to us about, you know, as we all look forward, Thio 2021. a human to go do so if we need to send you a follow up email when when your product ships or Excellent stuff, Erin, thank you so much for joining me on the program today, ensuring what's next and the potential the impact Live coverage of AWS reinvent

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The Impact of Exascale on Business | Exascale Day


 

>>from around the globe. It's the Q with digital coverage of exa scale day made possible by Hewlett Packard Enterprise. Welcome, everyone to the Cube celebration of Exa Scale Day. Shaheen Khan is here. He's the founding partner, an analyst at Orion X And, among other things, he is the co host of Radio free HPC Shaheen. Welcome. Thanks for coming on. >>Thanks for being here, Dave. Great to be here. How are you >>doing? Well, thanks. Crazy with doing these things, Cove in remote interviews. I wish we were face to face at us at a supercomputer show, but, hey, this thing is working. We can still have great conversations. And And I love talking to analysts like you because you bring an independent perspective. You're very wide observation space. So So let me, Like many analysts, you probably have sort of a mental model or a market model that you look at. So maybe talk about your your work, how you look at the market, and we could get into some of the mega trends that you see >>very well. Very well. Let me just quickly set the scene. We fundamentally track the megatrends of the Information Age And, of course, because we're in the information age, digital transformation falls out of that. And the megatrends that drive that in our mind is Ayotte, because that's the fountain of data five G. Because that's how it's gonna get communicated ai and HBC because that's how we're gonna make sense of it Blockchain and Cryptocurrencies because that's how it's gonna get transacted on. That's how value is going to get transferred from the place took place and then finally, quantum computing, because that exemplifies how things are gonna get accelerated. >>So let me ask you So I spent a lot of time, but I D. C and I had the pleasure of of the High Performance computing group reported into me. I wasn't an HPC analyst, but over time you listen to those guys, you learning. And as I recall, it was HPC was everywhere, and it sounds like we're still seeing that trend where, whether it was, you know, the Internet itself were certainly big data, you know, coming into play. Uh, you know, defense, obviously. But is your background mawr HPC or so that these other technologies that you're talking about it sounds like it's your high performance computing expert market watcher. And then you see it permeating into all these trends. Is that a fair statement? >>That's a fair statement. I did grow up in HPC. My first job out of school was working for an IBM fellow doing payroll processing in the old days on and and And it went from there, I worked for Cray Research. I worked for floating point systems, so I grew up in HPC. But then, over time, uh, we had experiences outside of HPC. So for a number of years, I had to go do commercial enterprise computing and learn about transaction processing and business intelligence and, you know, data warehousing and things like that, and then e commerce and then Web technology. So over time it's sort of expanded. But HPC is a like a bug. You get it and you can't get rid of because it's just so inspiring. So supercomputing has always been my home, so to say >>well and so the reason I ask is I wanted to touch on a little history of the industry is there was kind of a renaissance in many, many years ago, and you had all these startups you had Kendall Square Research Danny Hillis thinking machines. You had convex trying to make many supercomputers. And it was just this This is, you know, tons of money flowing in and and then, you know, things kind of consolidate a little bit and, uh, things got very, very specialized. And then with the big data craze, you know, we've seen HPC really at the heart of all that. So what's your take on on the ebb and flow of the HPC business and how it's evolved? >>Well, HBC was always trying to make sense of the world, was trying to make sense of nature. And of course, as much as we do know about nature, there's a lot we don't know about nature and problems in nature are you can classify those problems into basically linear and nonlinear problems. The linear ones are easy. They've already been solved. The nonlinear wants. Some of them are easy. Many of them are hard, the nonlinear, hard, chaotic. All of those problems are the ones that you really need to solve. The closer you get. So HBC was basically marching along trying to solve these things. It had a whole process, you know, with the scientific method going way back to Galileo, the experimentation that was part of it. And then between theory, you got to look at the experiment and the data. You kind of theorize things. And then you experimented to prove the theories and then simulation and using the computers to validate some things eventually became a third pillar of off science. On you had theory, experiment and simulation. So all of that was going on until the rest of the world, thanks to digitization, started needing some of those same techniques. Why? Because you've got too much data. Simply, there's too much data to ship to the cloud. There's too much data to, uh, make sense of without math and science. So now enterprise computing problems are starting to look like scientific problems. Enterprise data centers are starting to look like national lab data centers, and there is that sort of a convergence that has been taking place gradually, really over the past 34 decades. And it's starting to look really, really now >>interesting, I want I want to ask you about. I was like to talk to analysts about, you know, competition. The competitive landscape is the competition in HPC. Is it between vendors or countries? >>Well, this is a very interesting thing you're saying, because our other thesis is that we are moving a little bit beyond geopolitics to techno politics. And there are now, uh, imperatives at the political level that are driving some of these decisions. Obviously, five G is very visible as as as a piece of technology that is now in the middle of political discussions. Covert 19 as you mentioned itself, is a challenge that is a global challenge that needs to be solved at that level. Ai, who has access to how much data and what sort of algorithms. And it turns out as we all know that for a I, you need a lot more data than you thought. You do so suddenly. Data superiority is more important perhaps than even. It can lead to information superiority. So, yeah, that's really all happening. But the actors, of course, continue to be the vendors that are the embodiment of the algorithms and the data and the systems and infrastructure that feed the applications. So to say >>so let's get into some of these mega trends, and maybe I'll ask you some Colombo questions and weaken geek out a little bit. Let's start with a you know, again, it was one of this when I started the industry. It's all it was a i expert systems. It was all the rage. And then we should have had this long ai winter, even though, you know, the technology never went away. But But there were at least two things that happened. You had all this data on then the cost of computing. You know, declines came down so so rapidly over the years. So now a eyes back, we're seeing all kinds of applications getting infused into virtually every part of our lives. People trying to advertise to us, etcetera. Eso So talk about the intersection of AI and HPC. What are you seeing there? >>Yeah, definitely. Like you said, I has a long history. I mean, you know, it came out of MIT Media Lab and the AI Lab that they had back then and it was really, as you mentioned, all focused on expert systems. It was about logical processing. It was a lot of if then else. And then it morphed into search. How do I search for the right answer, you know, needle in the haystack. But then, at some point, it became computational. Neural nets are not a new idea. I remember you know, we had we had a We had a researcher in our lab who was doing neural networks, you know, years ago. And he was just saying how he was running out of computational power and we couldn't. We were wondering, you know what? What's taking all this difficult, You know, time. And it turns out that it is computational. So when deep neural nets showed up about a decade ago, arm or it finally started working and it was a confluence of a few things. Thalib rhythms were there, the data sets were there, and the technology was there in the form of GPS and accelerators that finally made distractible. So you really could say, as in I do say that a I was kind of languishing for decades before HPC Technologies reignited it. And when you look at deep learning, which is really the only part of a I that has been prominent and has made all this stuff work, it's all HPC. It's all matrix algebra. It's all signal processing algorithms. are computational. The infrastructure is similar to H B. C. The skill set that you need is the skill set of HPC. I see a lot of interest in HBC talent right now in part motivated by a I >>mhm awesome. Thank you on. Then I wanna talk about Blockchain and I can't talk about Blockchain without talking about crypto you've written. You've written about that? I think, you know, obviously supercomputers play a role. I think you had written that 50 of the top crypto supercomputers actually reside in in China A lot of times the vendor community doesn't like to talk about crypto because you know that you know the fraud and everything else. But it's one of the more interesting use cases is actually the primary use case for Blockchain even though Blockchain has so much other potential. But what do you see in Blockchain? The potential of that technology And maybe we can work in a little crypto talk as well. >>Yeah, I think 11 simple way to think of Blockchain is in terms off so called permission and permission less the permission block chains or when everybody kind of knows everybody and you don't really get to participate without people knowing who you are and as a result, have some basis to trust your behavior and your transactions. So things are a lot calmer. It's a lot easier. You don't really need all the supercomputing activity. Whereas for AI the assertion was that intelligence is computer herbal. And with some of these exa scale technologies, we're trying to, you know, we're getting to that point for permission. Less Blockchain. The assertion is that trust is computer ble and, it turns out for trust to be computer ble. It's really computational intensive because you want to provide an incentive based such that good actors are rewarded and back actors. Bad actors are punished, and it is worth their while to actually put all their effort towards good behavior. And that's really what you see, embodied in like a Bitcoin system where the chain has been safe over the many years. It's been no attacks, no breeches. Now people have lost money because they forgot the password or some other. You know, custody of the accounts have not been trustable, but the chain itself has managed to produce that, So that's an example of computational intensity yielding trust. So that suddenly becomes really interesting intelligence trust. What else is computer ble that we could do if we if we had enough power? >>Well, that's really interesting the way you described it, essentially the the confluence of crypto graphics software engineering and, uh, game theory, Really? Where the bad actors air Incentive Thio mined Bitcoin versus rip people off because it's because because there are lives better eso eso so that so So Okay, so make it make the connection. I mean, you sort of did. But But I want to better understand the connection between, you know, supercomputing and HPC and Blockchain. We know we get a crypto for sure, like in mind a Bitcoin which gets harder and harder and harder. Um and you mentioned there's other things that we can potentially compute on trust. Like what? What else? What do you thinking there? >>Well, I think that, you know, the next big thing that we are really seeing is in communication. And it turns out, as I was saying earlier, that these highly computational intensive algorithms and models show up in all sorts of places like, you know, in five g communication, there's something called the memo multi and multi out and to optimally manage that traffic such that you know exactly what beam it's going to and worth Antenna is coming from that turns out to be a non trivial, you know, partial differential equation. So next thing you know, you've got HPC in there as and he didn't expect it because there's so much data to be sent, you really have to do some data reduction and data processing almost at the point of inception, if not at the point of aggregation. So that has led to edge computing and edge data centers. And that, too, is now. People want some level of computational capability at that place like you're building a microcontroller, which traditionally would just be a, you know, small, low power, low cost thing. And people want victor instructions. There. People want matrix algebra there because it makes sense to process the data before you have to ship it. So HPCs cropping up really everywhere. And then finally, when you're trying to accelerate things that obviously GP use have been a great example of that mixed signal technologies air coming to do analog and digital at the same time, quantum technologies coming so you could do the you know, the usual analysts to buy to where you have analog, digital, classical quantum and then see which, you know, with what lies where all of that is coming. And all of that is essentially resting on HBC. >>That's interesting. I didn't realize that HBC had that position in five G with multi and multi out. That's great example and then I o t. I want to ask you about that because there's a lot of discussion about real time influencing AI influencing at the edge on you're seeing sort of new computing architectures, potentially emerging, uh, video. The acquisition of arm Perhaps, you know, amore efficient way, maybe a lower cost way of doing specialized computing at the edge it, But it sounds like you're envisioning, actually, supercomputing at the edge. Of course, we've talked to Dr Mark Fernandez about space born computers. That's like the ultimate edge you got. You have supercomputers hanging on the ceiling of the International space station, but But how far away are we from this sort of edge? Maybe not. Space is an extreme example, but you think factories and windmills and all kinds of edge examples where supercomputing is is playing a local role. >>Well, I think initially you're going to see it on base stations, Antenna towers, where you're aggregating data from a large number of endpoints and sensors that are gathering the data, maybe do some level of local processing and then ship it to the local antenna because it's no more than 100 m away sort of a thing. But there is enough there that that thing can now do the processing and do some level of learning and decide what data to ship back to the cloud and what data to get rid of and what data to just hold. Or now those edge data centers sitting on top of an antenna. They could have a half a dozen GPS in them. They're pretty powerful things. They could have, you know, one they could have to, but but it could be depending on what you do. A good a good case study. There is like surveillance cameras. You don't really need to ship every image back to the cloud. And if you ever need it, the guy who needs it is gonna be on the scene, not back at the cloud. So there is really no sense in sending it, Not certainly not every frame. So maybe you can do some processing and send an image every five seconds or every 10 seconds, and that way you can have a record of it. But you've reduced your bandwidth by orders of magnitude. So things like that are happening. And toe make sense of all of that is to recognize when things changed. Did somebody come into the scene or is it just you know that you know, they became night, So that's sort of a decision. Cannot be automated and fundamentally what is making it happen? It may not be supercomputing exa scale class, but it's definitely HPCs, definitely numerically oriented technologies. >>Shane, what do you see happening in chip architectures? Because, you see, you know the classical intel they're trying to put as much function on the real estate as possible. We've seen the emergence of alternative processors, particularly, uh, GP use. But even if f b g A s, I mentioned the arm acquisition, so you're seeing these alternative processors really gain momentum and you're seeing data processing units emerge and kind of interesting trends going on there. What do you see? And what's the relationship to HPC? >>Well, I think a few things are going on there. Of course, one is, uh, essentially the end of Moore's law, where you cannot make the cycle time be any faster, so you have to do architectural adjustments. And then if you have a killer app that lends itself to large volume, you can build silicon. That is especially good for that now. Graphics and gaming was an example of that, and people said, Oh my God, I've got all these cores in there. Why can't I use it for computation? So everybody got busy making it 64 bit capable and some grass capability, And then people say, Oh, I know I can use that for a I And you know, now you move it to a I say, Well, I don't really need 64 but maybe I can do it in 32 or 16. So now you do it for that, and then tens, of course, come about. And so there's that sort of a progression of architecture, er trumping, basically cycle time. That's one thing. The second thing is scale out and decentralization and distributed computing. And that means that the inter communication and intra communication among all these notes now becomes an issue big enough issue that maybe it makes sense to go to a DPU. Maybe it makes sense to go do some level of, you know, edge data centers like we were talking about on then. The third thing, really is that in many of these cases you have data streaming. What is really coming from I o t, especially an edge, is that data is streaming and when data streaming suddenly new architectures like F B G. A s become really interesting and and and hold promise. So I do see, I do see FPG's becoming more prominent just for that reason, but then finally got a program all of these things on. That's really a difficulty, because what happens now is that you need to get three different ecosystems together mobile programming, embedded programming and cloud programming. And those are really three different developer types. You can't hire somebody who's good at all three. I mean, maybe you can, but not many. So all of that is challenges that are driving this this this this industry, >>you kind of referred to this distributed network and a lot of people you know, they refer to this. The next generation cloud is this hyper distributed system. When you include the edge and multiple clouds that etcetera space, maybe that's too extreme. But to your point, at least I inferred there's a There's an issue of Leighton. See, there's the speed of light s So what? What? What is the implication then for HBC? Does that mean I have tow Have all the data in one place? Can I move the compute to the data architecturally, What are you seeing there? >>Well, you fundamentally want to optimize when to move data and when to move, Compute. Right. So is it better to move data to compute? Or is it better to bring compute to data and under what conditions? And the dancer is gonna be different for different use cases. It's like, really, is it worth my while to make the trip, get my processing done and then come back? Or should I just developed processing capability right here? Moving data is really expensive and relatively speaking. It has become even more expensive, while the price of everything has dropped down its price has dropped less than than than like processing. So it is now starting to make sense to do a lot of local processing because processing is cheap and moving data is expensive Deep Use an example of that, Uh, you know, we call this in C two processing like, you know, let's not move data. If you don't have to accept that we live in the age of big data, so data is huge and wants to be moved. And that optimization, I think, is part of what you're what you're referring to. >>Yeah, So a couple examples might be autonomous vehicles. You gotta have to make decisions in real time. You can't send data back to the cloud flip side of that is we talk about space borne computers. You're collecting all this data You can at some point. You know, maybe it's a year or two after the lived out its purpose. You ship that data back and a bunch of disk drives or flash drives, and then load it up into some kind of HPC system and then have at it and then you doom or modeling and learn from that data corpus, right? I mean those air, >>right? Exactly. Exactly. Yeah. I mean, you know, driverless vehicles is a great example, because it is obviously coming fast and furious, no pun intended. And also, it dovetails nicely with the smart city, which dovetails nicely with I o. T. Because it is in an urban area. Mostly, you can afford to have a lot of antenna, so you can give it the five g density that you want. And it requires the Layton sees. There's a notion of how about if my fleet could communicate with each other. What if the car in front of me could let me know what it sees, That sort of a thing. So, you know, vehicle fleets is going to be in a non opportunity. All of that can bring all of what we talked about. 21 place. >>Well, that's interesting. Okay, so yeah, the fleets talking to each other. So kind of a Byzantine fault. Tolerance. That problem that you talk about that z kind of cool. I wanna I wanna sort of clothes on quantum. It's hard to get your head around. Sometimes You see the demonstrations of quantum. It's not a one or zero. It could be both. And you go, What? How did come that being so? And And of course, there it's not stable. Uh, looks like it's quite a ways off, but the potential is enormous. It's of course, it's scary because we think all of our, you know, passwords are already, you know, not secure. And every password we know it's gonna get broken. But give us the give us the quantum 101 And let's talk about what the implications. >>All right, very well. So first off, we don't need to worry about our passwords quite yet. That that that's that's still ways off. It is true that analgesic DM came up that showed how quantum computers can fact arise numbers relatively fast and prime factory ization is at the core of a lot of cryptology algorithms. So if you can fact arise, you know, if you get you know, number 21 you say, Well, that's three times seven, and those three, you know, three and seven or prime numbers. Uh, that's an example of a problem that has been solved with quantum computing, but if you have an actual number, would like, you know, 2000 digits in it. That's really harder to do. It's impossible to do for existing computers and even for quantum computers. Ways off, however. So as you mentioned, cubits can be somewhere between zero and one, and you're trying to create cubits Now there are many different ways of building cubits. You can do trapped ions, trapped ion trapped atoms, photons, uh, sometimes with super cool, sometimes not super cool. But fundamentally, you're trying to get these quantum level elements or particles into a superimposed entanglement state. And there are different ways of doing that, which is why quantum computers out there are pursuing a lot of different ways. The whole somebody said it's really nice that quantum computing is simultaneously overhyped and underestimated on. And that is that is true because there's a lot of effort that is like ways off. On the other hand, it is so exciting that you don't want to miss out if it's going to get somewhere. So it is rapidly progressing, and it has now morphed into three different segments. Quantum computing, quantum communication and quantum sensing. Quantum sensing is when you can measure really precise my new things because when you perturb them the quantum effects can allow you to measure them. Quantum communication is working its way, especially in financial services, initially with quantum key distribution, where the key to your cryptography is sent in a quantum way. And the data sent a traditional way that our efforts to do quantum Internet, where you actually have a quantum photon going down the fiber optic lines and Brookhaven National Labs just now demonstrated a couple of weeks ago going pretty much across the, you know, Long Island and, like 87 miles or something. So it's really coming, and and fundamentally, it's going to be brand new algorithms. >>So these examples that you're giving these air all in the lab right there lab projects are actually >>some of them are in the lab projects. Some of them are out there. Of course, even traditional WiFi has benefited from quantum computing or quantum analysis and, you know, algorithms. But some of them are really like quantum key distribution. If you're a bank in New York City, you very well could go to a company and by quantum key distribution services and ship it across the you know, the waters to New Jersey on that is happening right now. Some researchers in China and Austria showed a quantum connection from, like somewhere in China, to Vienna, even as far away as that. When you then put the satellite and the nano satellites and you know, the bent pipe networks that are being talked about out there, that brings another flavor to it. So, yes, some of it is like real. Some of it is still kind of in the last. >>How about I said I would end the quantum? I just e wanna ask you mentioned earlier that sort of the geopolitical battles that are going on, who's who are the ones to watch in the Who? The horses on the track, obviously United States, China, Japan. Still pretty prominent. How is that shaping up in your >>view? Well, without a doubt, it's the US is to lose because it's got the density and the breadth and depth of all the technologies across the board. On the other hand, information age is a new eyes. Their revolution information revolution is is not trivial. And when revolutions happen, unpredictable things happen, so you gotta get it right and and one of the things that these technologies enforce one of these. These revolutions enforce is not just kind of technological and social and governance, but also culture, right? The example I give is that if you're a farmer, it takes you maybe a couple of seasons before you realize that you better get up at the crack of dawn and you better do it in this particular season. You're gonna starve six months later. So you do that to three years in a row. A culture has now been enforced on you because that's how it needs. And then when you go to industrialization, you realize that Gosh, I need these factories. And then, you know I need workers. And then next thing you know, you got 9 to 5 jobs and you didn't have that before. You don't have a command and control system. You had it in military, but not in business. And and some of those cultural shifts take place on and change. So I think the winner is going to be whoever shows the most agility in terms off cultural norms and governance and and and pursuit of actual knowledge and not being distracted by what you think. But what actually happens and Gosh, I think these exa scale technologies can make the difference. >>Shaheen Khan. Great cast. Thank you so much for joining us to celebrate the extra scale day, which is, uh, on 10. 18 on dso. Really? Appreciate your insights. >>Likewise. Thank you so much. >>All right. Thank you for watching. Keep it right there. We'll be back with our next guest right here in the Cube. We're celebrating Exa scale day right back.

Published Date : Oct 16 2020

SUMMARY :

he is the co host of Radio free HPC Shaheen. How are you to analysts like you because you bring an independent perspective. And the megatrends that drive that in our mind And then you see it permeating into all these trends. You get it and you can't get rid And it was just this This is, you know, tons of money flowing in and and then, And then you experimented to prove the theories you know, competition. And it turns out as we all know that for a I, you need a lot more data than you thought. ai winter, even though, you know, the technology never went away. is similar to H B. C. The skill set that you need is the skill set community doesn't like to talk about crypto because you know that you know the fraud and everything else. And with some of these exa scale technologies, we're trying to, you know, we're getting to that point for Well, that's really interesting the way you described it, essentially the the confluence of crypto is coming from that turns out to be a non trivial, you know, partial differential equation. I want to ask you about that because there's a lot of discussion about real time influencing AI influencing Did somebody come into the scene or is it just you know that you know, they became night, Because, you see, you know the classical intel they're trying to put And then people say, Oh, I know I can use that for a I And you know, now you move it to a I say, Can I move the compute to the data architecturally, What are you seeing there? an example of that, Uh, you know, we call this in C two processing like, it and then you doom or modeling and learn from that data corpus, so you can give it the five g density that you want. It's of course, it's scary because we think all of our, you know, passwords are already, So if you can fact arise, you know, if you get you know, number 21 you say, and ship it across the you know, the waters to New Jersey on that is happening I just e wanna ask you mentioned earlier that sort of the geopolitical And then next thing you know, you got 9 to 5 jobs and you didn't have that before. Thank you so much for joining us to celebrate the Thank you so much. Thank you for watching.

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VxRail Taking HCI to Extremes, Dell Technologies


 

from the cube Studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cute conversation hi I'm Stu minimun and welcome to this special presentation we have a launch from Dell technologies updates to the BX rail family we're gonna do things a little bit different here we actually have a launch video from Janet champion of Dell technologies and the way we do things a lot of times is analysts get a little preview or when you're watching things you might have questions on it though rather than me just walking it are you watching herself I actually brought in a couple of Dell technologies expert two of our cube alumni happy to welcome back to the program Jonathan Segal he is the vice president of product marketing and Chad Dunn who's the vice president at price today of product management both of them with Dell technologies gentlemen thanks so much for joining us it was too great to be here all right and so what we're gonna do is we're gonna be rolling the video here I've got a button I'm gonna press Andrew will stop it here and then we'll kind of dig in a little bit go into some questions when we're all done we're actually holding a crowd chat where you will be able to ask your questions talk to the expert and everything and so a little bit different way to do a product announcement hope you enjoy it and with that it's VX rail taking API to the extremes is is the theme we'll see you know how what that means and everything but without any further ado it but let's look fanon take the video away hello and welcome my name is Shannon champion and I'm looking forward to taking you through what's new with the ex rail let's get started we have a lot to talk about our launch covers new announcements addressing use cases across the core edge and cloud and spans both new hardware platforms and options as well as the latest in software innovations so let's jump right in before we talk about our announcements let's talk about where customers are adopting the ex rail today first of all on behalf of the entire Dell technologies and BX Rail teams I want to thank each of our over 8,000 customers big and small in virtually every industry who have chosen the x rail to address a broad range of workloads deploying nearly a hundred thousand nodes to date thank you our promise to you is that we will add new functionality improve serviceability and support new use cases so that we deliver the most value to you whether in the core at the edge or for the cloud in the core the X rail from day one has been a catalyst to accelerate IT transformation many of our customers started here and many will continue to leverage VX rail to simply extend and enhance your VMware environment now we can support even more demanding applications such as in-memory databases like s AP HANA and more AI and ML applications with support for more and more powerful GPUs at the edge video surveillance which also uses GPUs by the way is an example of a popular use case leveraging the X rail alongside external storage and right now we all know the enhanced role that IT is playing and as it relates to VDI the X Rail has always been a great option for that in the cloud it's all about kubernetes and how dell technologies cloud platform which is VCF on the x rail can deliver consistent infrastructure for both traditional and cloud native applications and we're doing that together with VMware the X ray o is the only jointly engineered HCI system built with VMware for VMware environments designed to enhance the native VMware experience this joint engineering with VMware and investments in software innovation together deliver an optimized operational experience at reduced risk for our customers all right so Shannon talked a bit about you know the important role of IP of course right now with the global pandemic going on it's really you know calling in you know essential things you know putting you know platforms to the test so I'd really love to hear what both of you are hearing from customers also you know VDI of course you know in the early days it was HDI only does VDI now we know there are many solutions but remote work is you know putting that back front and center so John why don't we start with you is you know what you're absolutely so first of all us - thank you I want to do a shout out to our BX real customers around the world it's really been humbling inspiring and just amazing to see the impact of our bx real customers around the world and what they're having on on human progress here you know just for a few examples there are genomics companies that we have running the X rail that have a row about testing at scale we also have research universities out in the Netherlands on doing the antibody detection the US Navy has stood up a hosta floating Hospital >> of course care for those in need so look we are here to help that's been our message to our customers but it's amazing to see how much they're helping society during this so just just a pleasure there but as you mentioned just to hit on the the VDI comments so it's your points do you know HCI and vxr8 EDI that was initially use case years ago and it's been great to see how many of our existing VX real customers have been able to inhibit very quickly leveraging via trail to add and to help bring their remote workforce you know online and support them with your existing VX rail because V it really is flexible it is agile to be able to support those multiple workloads and in addition to that we've also rolled out some new VDI bundles to make it simpler for customers more cost-effective catered to everything from knowledge workers to multimedia workers you name it you know from 250 desktops up to a thousand but again back to your point BX rail ci is well beyond video it had crossed the chasm a couple years ago actually and you know where VDI now is less than a third of the typical workloads any of our customers out there it supports now a range of workloads as you heard from Shannon whether it's video surveillance whether it's general purpose only to mission-critical applications now with SAV ha so you know this is this has changed the game for sure but the range of workloads and the flexibility of yet rail is what's really helping our existing customers from this pandemic we've seen customers really embrace HCI for a number of workloads in their environments from the ones that we serve all knew and loved back in the the initial days of of HCI now the mission-critical things now to cloud native workloads as well and you know sort of the efficiencies that customers are able to get from HCI and specifically VX rail gives them that ability to pivot when these you know shall we say unexpected circumstances arise and I think if that's informing their their decisions and their opinions on what their IT strategies look like as they move forward they want that same level of agility and the ability to react quickly with our overall infrastructure excellent want to get into the announcements what I want my team actually your team gave me access to the CIO from the city of Amarillo so maybe they can dig up that footage talk about how fast they pivoted you know using VX rail to really spin up things fast so let's hear from the announcements first and then definitely want to share that that customer story a little bit later so let's get to the actual news that and it's gonna share okay now what's new I am pleased to announce a number of exciting updates and new platforms to further enable IT modernization across core edge and cloud I will cover each of these announcements in more detail demonstrating how only the X rail can offer the breadth of platform configurations automation orchestration and lifecycle management across a fully integrated hardware and software full stack with consistent simple side operations to address the broadest range of traditional and modern applications I'll start with hybrid cloud and recap what you may have seen in the Dell technologies cloud announcements just a few weeks ago related to VMware cloud foundation on the X rail then I'll cover two brand new VX rail hardware platforms and additional options and finally circle back to talk about the latest enhancements to our VX rail HCI system software capabilities for lifecycle management let's get started with our new cloud offerings based on the ex rail you xrail is the HCI foundation for dell technologies cloud platform bringing automation and financial models similar to public cloud to on-premises environments VMware recently introduced cloud foundation for dotto which is based on vSphere 7 as you likely know by now vSphere 7 was definitely an exciting and highly anticipated release in keeping with our synchronous release commitment we introduced the XR l 7 based on vSphere 7 in late April which was within 30 days of VMware's release two key areas that VMware focused on were embedding containers and kubernetes into vSphere unifying them with virtual machines and the second is improving the work experience for vSphere administrators with vSphere lifecycle manager or VL CM I'll address the second point a bit in terms of how the X rail fits in in a moment for V cf4 with tansu based on vSphere 7 customers now have access to a hybrid cloud platform that supports native kubernetes workloads and management as well as your traditional vm based workloads and this is now available with VCF 4 on the ex rel 7 the X rails tight integration with VMware cloud foundation delivers a simple and direct path not only to the hybrid cloud but also to deliver kubernetes a cloud scale with one complete automated platform the second cloud announcement is also exciting recent VCF for networking advancements have made it easier than ever to get started with hybrid cloud because we're now able to offer a more accessible consolidated architecture and with that Dell technologies cloud platform can now be deployed with a four node configuration lowering the cost of an entry-level hybrid cloud this enables customers to start smaller and grow their cloud deployment over time VCF on the x rail can now be deployed in two different ways for small environments customers can utilize a consolidated architecture which starts with just four nodes since the management and workload domains share resources in this architecture it's ideal for getting started with an entry-level cloud to run general-purpose virtualized workloads with a smaller entry point both in terms of required infrastructure footprint as well as cost but still with a consistent cloud operating model for larger environments we're dedicated resources and role based access control to separate different sets of workloads is usually preferred you can choose to deploy a standard architecture which starts at 8 nodes for independent management and workload domains a standard implementation is ideal for customers running applications that require dedicated workload domains that includes horizon VDI and vSphere with kubernetes all right John there's definitely been a lot of interest in our community around everything that VMware's doing with vSphere 7 understand if you wanted to use the kubernetes piece you know it's it's VCF as that so we you know we've seen the announcements delt partnering there helped us connect that story between you know really the the VMware strategy and how they've talked about cloud and how you know where does the X rail fit in that overall Delta cloud story absolutely so so first of all is through the x-ray of course is integral to the Delta cloud strategy you know it's been VCF on bx r l equals the delta cloud platform and this is our flagship on-prem cloud offering that we've been able to enable operational consistency across any cloud right whether it's on prem in the edge or in a public cloud and we've seen the delta cloud platform embraced by customers for a couple key reasons one is it offers the fastest hybrid cloud deployment in the market and this is really you know thanks to a new subscription on offer that we're now offering out there we're at less than 14 days it can be set up and running and really the deltek cloud does bring a lot of flexibility in terms of consumption models overall comes to the extra secondly I would say is fast and easy upgrades I mean this is this is really this is what VX real brings to the table for all our clothes if you will and it's especially critical in the cloud so the full automation of lifecycle management across the hardware and software stack boss the VMware software stack and in the Dell software however we're supporting that together this enables essentially the third thing which is customers can just relax right they can be rest assured that their infrastructure will be continuously validated and always be in a continuously validated state and this this is the kind of thing that you know those three value propositions together really fit well with with any on print cloud now you take what Shannon just mentioned and the fact that now you can build and run modern applications on the same the x-ray link structure alongside traditional applications this is a game changer yeah it I love you know I remember in the early days that about CI how does that fit in with cloud discussion and align I've used the last couple years this you know modernize the platform then you can modernize the application though as companies are doing their full modernization this plays into what you're talking about all right let's get you know can't let ran and continue get some more before we dig into some more analysis that's good let's talk about new hardware platforms and updates that result in literally thousands of potential new configuration options covering a wide breadth of modern and traditional application needs across a range of the actual use cases first up I am incredibly excited to announce a brand new delhi MCB x rail series the DS series this is a ruggedized durable platform that delivers the full power of the x rail for workloads at the edge in challenging environments or for space constrained areas the X ray LD series offers the same compelling benefits as the rest of the BX rail portfolio with simplicity agility and lifecycle management but in a lightweight short depth at only 20 inches it's a durable form factor that's extremely temperature resilient shock resistant and easily portable it even meets mil spec standards that means you have the full power of lifecycle automation with VX rail HCI system software and 24 by 7 single point of support enabling you to rapidly react to business needs no matter the location or how harsh the conditions so whether you're deploying a data center at a mobile command base running real-time GPS mapping on-the-go or implementing video surveillance in remote areas you can ensure availability integrity and confidence for every workload with the new VX Rail ruggedized D series had would love for you to bring us in a little bit you know that what customer requirement bringing bringing this to market I I remember seeing you know Dell servers ruggedized of course edge you know really important growth to build on what John was talking about clouds so yeah Chad bring us inside what was driving this piece of the offering sure Stu yeah you know having the the hardware platforms that can go out into some of these remote locations is really important and that's being driven by the fact that customers are looking for compute performance and storage out at some of these edges or some of the more exotic locations you know whether that's manufacturing plants oil rigs submarine ships military applications in places that we've never heard of but it's also been extending that operational simplicity of the the sort of way that you're managing your data center that has VX rails you're managing your edges the same way using the same set of tools so you don't need to learn anything else so operational simplicity is is absolutely key here but in those locations you can take a product that's designed for a data center where you're definitely controlling power cooling space and take it to some of these places where you get sand blowing or sub-zero temperatures so we built this D series that was able to go to those extreme locations with extreme heat extreme cold extreme altitude but still offer that operational simplicity if you look at the the resistance that it has to heat it can go from around operates at a 45 degrees Celsius or 113 degrees Fahrenheit range but it can do an excursion up to 55 °c or 131 degrees Fahrenheit for up to eight hours it's also resisted the heats and dust vibration it's very lightweight short depth in fact it's only 20 inches deep this is a smallest form factor obviously that we have in the BX rail family and it's also built to to be able to withstand sudden shocks it's certified it was stand 40 G's of shock and operation of the 15,000 feet of elevation it's pretty high and you know this is this is sort of like where were skydivers go to when they weren't the real real thrill of skydiving where you actually the oxygen to to be a put that out to their milspec certified so mil-std 810g which i keep right beside my bed and read every night and it comes with a VX rail stick hardening package is packaging scripts so that you can auto lock down the rail environment and we've got a few other certifications that are on the roadmap now for for naval chakra quirements EMI and radiation immunity of all that yeah you know it's funny I remember when weights the I first launched it was like oh well everything's going to white boxes and it's going to be you know massive you know no differentiation between everything out there if you look at what you're offering if you look at how public clouds build their things what I call it a few years poor is there's a pure optimization so you need scale you need similarities but you know you need to fit some you know very specific requirements lots of places so interesting stuff yeah certifications you know always keep your teams busy alright let's get back to Shannon we are also introducing three other hardware based editions first a new VX rail eseries model based on were the first time AMD epic processors these single socket 1u nodes offered dual socket performance with CPU options that scale from 8 to 64 cores up to a terabyte of memory and multiple storage options making it an ideal platform for desktop VDI analytics and computer-aided design next the addition of the latest NVIDIA Quadro RT X GPUs brings the most significant advancement in computer graphics in over a decade to professional workflows designers and artists across industries can now expand the boundary of what's possible working with the largest and most complex graphics rendering deep learning and visual computing workloads and Intel obtain DC persistent memory is here and it offers high performance and significantly increase memory capacity with data persistence at an affordable price persistence is a critical feature that maintains data integrity even when power is lost enabling quicker recovery and less downtime with support for Intel obtain DC persistent memory customers can expand in memory intensive workloads and use cases like sa P Hana alright let's finally dig into our HCI system software which is the core differentiation for the xrail regardless of your workload or platform choice our joint engineering with VMware and investments in the x-ray HCI system software innovation together deliver an optimized operational experience at reduced risk for our customers under the covers the xrail offers best-in-class Hardware married with VMware HCI software either vcn or VCF but what makes us different stems from our investments to integrate the two Dell technologies has a dedicated VX rail team of about 400 people to build market sell and support a fully integrated hyper-converged system that team has also developed our unique the X rail HDI system software which is a suite of integrated software elements that extend VMware native capabilities to deliver a seamless automated operational experience that customers cannot find elsewhere the key components of the x rail HDI system software are shown around the arc here that include the X rail manager full stack lifecycle management ecosystem connectors and support I don't have time to get into all the details of these elements today but if you're interested in learning more I encourage you to meet our experts and I will tell you how to do that in a moment I touched on VLC M being a key feature to vSphere seven earlier and I'd like to take the opportunity to expand on that a bit in the context of the xrail lifecycle management the LCM adds valuable automation to the execution of updates for customers but it doesn't eliminate the manual work still needed to define and package the updates and validate all of the components prior to applying them with the X ray all customers have all of these areas addressed automatically on their behalf freeing them to put their time into other important functions for their business customers tell us that lifecycle management continues to be a major source of the maintenance effort they put into their infrastructure and then it tends to lead to overburden IT staff that it can cause disruptions to the business if not managed effectively and that it isn't the most efficient economically Automation of lifecycle management in VX Rail results in the utmost simplicity from a customer experience perspective and offers operational freedom from maintaining infrastructure but as shown here our customers not only realize greater IT team efficiencies they have also reduced downtime with fewer unplanned outages and reduced overall cost of operations with the xrail HCI system software intelligent lifecycle management upgrades of the fully integrated hardware and software stack are automated keeping clusters in continuously validated States while minimizing risks and operational costs how do we ensure continuously validated States Furby xrail the x-ray labs execute an extensive automated repeatable process on every firmware and software upgrade and patch to ensure clusters are in continuously validated states of the customer's choosing across their VX rail environment the VX rail labs are constantly testing analyzing optimising and sequencing all of the components in the upgrade to execute in a single package for the full stack all the while the x rail is backed by Delhi MCS world-class services and support with a single point of contact for both hardware and software IT productivity skyrockets with single-click non-disruptive upgrades of the fully integrated hardware and software stack without the need to do extensive research and testing taking you to the next VX rail version of your choice while always in a continuously validated state you can also confidently execute automated VX rail upgrades no matter what hardware generation or node types are in the cluster they don't have to all be the same and upgrades with VX rail are faster and more efficient with leap frogging simply choose any VX rail version you desire and be assured you will get there in a validated state while seamlessly bypassing any other release in between only the ex rail can do that all right so Chad you know the the lifecycle management piece that Jana was just talking about is you know not the sexiest it's often underappreciated you know there's not only the years of experience but the continuous work you're doing you know reminds me back you know the early V sand deployments versus VX rail jointly develop you know jointly tested between Dell and VMware so you know bring us inside why you know 2020 lifecycle management still you know a very important piece especially in the VL family yeah let's do I think it's sexy but I'm pretty big nerd yes even more the larger the deployments come when you start to look at data centers full of VX rails and all the different hardware software firmware combinations that could exist out there it's really the value that you get out of that VX r l HTI system software that Shannon was talking about and how its optimized around the VMware use case very tightly integrated with each VMware component of course and the intelligence of being able to do all the firmware all of the drivers all of the software altogether tremendous value to our customers but to deliver that we really need to make a fairly large investment so she Anna mentioned we've run about twenty five thousand hours of testing across each major release four patches Express patches that's about seven thousand hours for each of those so obviously there's a lot of parallelism and and we're always developing new test scenarios for each release that we need to build in as we as we introduce new functionality one of the key things that were able to do as Shannon mentioned is to be able to leapfrog releases and get you to that next validated state we've got about 100 engineers just working on creating and executing those test cases on a continuous basis and obviously a huge amount of automation and then when we talk about that investment to execute those tests that's well north of sixty million dollars of investment in our lab in fact we've got just over two thousand VH rail units in our testbed across the u.s. Shanghai China and corn island so a massive amount of testing of each of those those components to make sure that they operate together in a validated state yeah well you know absolutely it's super important not only for the day one but the day two deployments but I think this actually be a great place for us to bring in that customer that Dell gave me access to so we've got the CIO of Amarillo Texas he was an existing VX rail customer and he's going to explain what happened as to how he needed to react really fast to support the work from home initiative as well as you know we get to hear in his words the value of what lifecycle management means though Andrew if we could queue up that that customer segment please it was it's been massive and it's been interesting to see the IT team absorb it you know as we mature and they I think they embrace the ability to be innovative and to work with our departments but this instance really justified why I was driving progress so so fervently why it was so urgent today three years ago we the answer would have been no there would have been we wouldn't have been in a place where we could adapt with it with the x-ray all in place you know in a week we spun up hundreds of instant phones we spawned us a seventy five person call center in a day and a half for our public health we will allow multiple applications for Public Health so they could do remote clinics it's given us the flexibility to be able to to roll out new solutions very quickly and be very adaptive and it's not only been apparent to my team but it's really made an impact on the business and now what I'm seeing is those those are my customers that were a little lagging or a little conservative or understanding the impact of modernizing the way they do business because it makes them adaptable as well all right so rich you talked to a bunch about the the efficiencies that they tie put place how about that that overall just managed you know you talked about how fast you spun up these new VDI instances you need to be able to do things much simpler so you know how does the overall lifecycle management fit into this discussion it makes it so much easier and you know in the in the old environment one it took a lot of man-hours to make change it was it was very disruptive when we did make change this it overburdened I guess that's the word I'm looking for it really over overburdened our staff it cost disruption to business it was it cost-efficient and then you simple things like you know I've worked for multi billion-dollar companies where we had massive QA environments that replicated production simply can't afford that at local government you know having the sort of environment lets me do a scaled-down QA environment and still get the benefit of rolling out non disruptive change as I said earlier it's allow us to take all of those cycles that we were spending on lifecycle management because it's greatly simplified and move those resources and rescale them in in other areas where we can actually have more impact on the business it's hard to be innovated when a hundred percent of your cycles are just keeping the ship afloat all right well you know nothing better than hearing straight from the end-user you know public sector reacting very fast to the Cova 19 and you know you heard him he said if this had hit his before he had run this project he would not have been able to respond so I think everybody out there understands if I didn't actually have access to the latest technology you know it would be much harder all right I'm looking forward to doing the crowd chat and everybody else digging with questions and get follow-up but a little bit more I believe one more announcement he came and got for us though let's roll the final video clip in our latest software release the x-ray of 4.7 dot 510 we continue to add new automation and self-service features new functionality enables you to schedule and run upgrade health checks in advance of upgrades to ensure clusters are in a ready state for the next upgrade or patch this is extremely valuable for customers that have stringent upgrade windows as they can be assured the clusters will seamlessly upgrade within that window of course running health checks on a regular basis also helps ensure that your clusters are always ready for unscheduled patches and security updates we are also offering more flexibility and getting all nodes or clusters to a common release level with the ability to reimage nodes or clusters to a specific the xrail version or down Rev one or more more nodes that may be shipped at a higher Rev than the existing cluster this enables you to easily choose your validated state when adding new nodes or repurposing nodes in cluster to sum up all of our announcements whether you are accelerating data center modernization extending HCI to harsh edge environments deploying an on-premises Dell technologies cloud platform to create a developer ready kubernetes infrastructure BX Rail is there delivering a turnkey experience that enables you to continuously innovate realize operational freedom and predictably evolve the x rail provides an extensive breadth of platform configurations automation and lifecycle management across the integrated hardware and software full stack and consistent hybrid cloud operations to address the broadest range of traditional and modern applications across core edge and cloud I now invite you to engage with us first the virtual passport program is an opportunity to have some fun while learning about the ex rails new features and functionality and score some sweet digital swag while you're at it it delivered via an automated via an augmented reality app all you need is your device so go to the x-ray is slash passport to get started and secondly if you have any questions about anything I talked about or want a deeper conversation we encourage you to join one of our exclusive VX rail meet the experts sessions available for a limited time first-come first-served just go to the x-ray dot is slash expert session to learn more you all right well obviously with everyone being remote there's different ways we're looking to engage so we've got the crowd chat right after this but John gives a little bit more is that how Del's making sure to stay in close contact with customers and what you've got firfer options for them yeah absolutely so as Shannon said so in lieu of not having Dell tech world this year in person where we could have those great in-person interactions and answer questions whether it's in the booth or you know in in meeting rooms you know we are going to have these meet the experts sessions over the next couple of weeks and look we're gonna put our best and brightest from our technical community and make them accessible to to everyone out there so again definitely encourage you we're trying new things here in this virtual environment to ensure that we could still stay in touch answer questions be responsive and really looking forward to you know having these conversations over the next couple weeks all right well John and Chad thank you so much we definitely look forward to the conversation here in int in you'd if you're here live definitely go down below do it if you're watching this on demand you can see the full transcript of it at crowd chat /vx rocks sorry V xrail rocks for myself Shannon on the video John and Chad Andrew man in the booth there thank you so much for watching and go ahead and join the crowd chat

Published Date : Jun 5 2020

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Justin Graham, Docker | DockerCon 2020


 

>> announcer: From around the globe. It's the theCUBE with digital coverage of DockerCon live 2020. Brought to you by Docker and its ecosystem partners. >> Welcome back to theCUBE coverage here at the DockerCon virtual headquarters, anchor desks here in the Palo Alto Studios were quarantined in this virtual event of DockerCon. I'm John Furrier, host along with Jenny Bertuccio, John Kreisa, Peter McKee, other folks who are moderating and weaving in and out of the sessions. But here we have a live sessions with Justin Graham, Vice President of the Products group at Docker. Justin, thanks for coming in DockerCon virtual '20. >> Absolutely, happy to be here from my home office in Seattle, Washington where it is almost sunny. >> You had a great backdrop traveler saying in the chat you got a bandwidth, a lot of bandwidth there. Looking good, some island. What a day for Docker global event. 77,000 people registered. It's just been an awesome party. >> It's been great, I could hardly sleep last night. I was up at 5:00 this morning. I was telling my son about it at breakfast. I interrupted his Zoom school. And he talked a little bit about it, so it's been awesome. I've been waiting for this interview slot for the most of the day. >> So yeah, I got to tell the kids to get off, download those gigabytes of new game updates and get off Netflix, I hear you. But you got good bandwidth. Let's get into it, I love your position. VP of Product at a company that's super technical, a lot of software, a lot of cloud. You've got a good view of the landscape of what the current situation is relative to the product, the deals that are going on with this new announced here, sneak Microsoft expansion, multiple clouds as well as the roadmap and community interaction. So you got a lot going on, you've got your fingers in all the action. When you get the keys to the kingdom, as we say in the product side of things, what's the story today from your perspective around DockerCon? What's the most important thing people should know about of what's going on with this new Docker? Obviously, ease of use, we've heard a lot about. What's going on? >> So I'll start with people. We are hyper focused on helping developers and development teams build and ship applications. That's what we're focused on. That's what we wake up every day thinking about. And we double click on that a minute in terms of what that means. If you think about where source control ends and having a running application on some production compute in the Cloud on the other end, there's a whole lot that needs to happen in the middle of those two things. And we hear from our development community and we see from those folks, there's a lot of complexity and choices and options and things in the middle there. And we really want to help streamline the creation of those pipelines to get those apps moving to production as fastly, as quickly as possible. >> And you can see it in some of the results and some of the sessions, one session coming up at around four, around how pipelining with Docker help increase the problem solving around curing cancer, really solving, saving people's lives to the front lines with COVID 19 to business value. So you seeing, again Docker coming back into the fold relative to the simple value proposition of making things super easy for developers, but on top of the mega trend of microservices. So, outside of some of these awesome sessions with his learning, the hardcore sessions here at DockerCon around microservices from monitoring, you name it, not a trivial thing cause you've got stateless and state, all kinds of new things are going on with multiple clouds. So not an easy-- >> No. >> road to kind of grok or understand you have to manage that. What are people paying attention to? What is happening? I think, first off I'll say, one of the things that I'm super passionate about is increasing access to technology, so the greatest and best ideas can get bubbled up to the top and expose no matter where they come from, whom they come from, et cetera. And I think one of the things that makes that harder, that makes that complex is just how much developers need to understand or even emerging developers need to understand. Just to even get started. Languages, IDEs, packaging, building where do you ship to? If you pick a certain powder end point, you have to understand networking and storage and identity models are just so much you have to absorb. So we're hyper focused on how can we make that complex super easy. And these are all the things that we get asked questions on. And we get interacted with on our public roadmap in other places to help with. So that's the biggest things that you're going to see coming out of Docker starting now and moving forward. We'll be serving that end. >> Let's talk about some of the new execution successes you guys had. Honestly, Snyk is security shifting left, that's a major, I think a killer win for Snyk. Obviously, getting access to millions of developers use Docker and vice versa. Into the shifting left, you get to security in that workflow piece. Microsoft expanding relationship's interesting as well because Microsoft's got a robust tech developer ecosystem. They have their own tools. So, you see these symbiotic relationship with Docker, again, coming into the fold where there's a lot of working together going on. Explain that meaning, what does that mean? >> So you're on the back of the refocus Docker in our hyperfocus on developers and development teams, one of the core tenants of the how. So before that was the what. This is the how we're going to go do it. Is by partnering with the ecosystem as much as possible and bringing the best of breed in front of developers in a way that they can most easily consume. So if you take the Snyk partnership that was just a match, a match made in developer dopamine as a Sean Connolly, would say. We're hyper focused on developers and development teams and Snyk is also hyperfocused on making it as easy as possible for developers and development teams to stay secure ship, fast and stay secure. So it really just matched up super well. And then if you think, "Well, how do we even get there in the first place?" Well, we launched our public roadmap a few months ago, which was a first that Docker has ever done. And one of the first things that comes onto that public roadmap is image vulnerability scanning. For Docker, at that time it was really just focused on Docker Hub in terms of how it came through the roadmap. It got up voted a bunch, there has been some interaction and then we thought, "Well, why just like checking that box isn't enough," right? It's just checking the box. What can we do that really brings sort of the promise of the Docker experience to something like this? And Sneak was an immediate thought, in that respect. And we just really got in touch with them and we just saw eye to eye almost immediately. And then off off the rest went. The second piece of it was really around, well why just do it in Docker Hub? What about Docker Desktop? It's downloaded 80,000 times a week and it's got 2.2 million active installations on a weekly basis. What about those folks? So we decided to raise the bar again and say, "Hey, let's make sure that this partnership includes "not only Docker Hub but Docker Desktop, so you'll be able, when we launch this, to scan your images locally on Docker Desktop. >> Awesome, I see getting some phone calls and then you got to hit this, hit the end button real quick. I saw that in there. I've got an interesting chat I want to just kind of lighten things up a little bit from Brian Stevenson. He says, "Justin, what glasses are those?" (Justin laughing) So he wants to know what kind of glasses you're wearing. >> They're glasses that I think signal that I turned 40 last year. >> (laughs) I'd say it's for your gaming environments, the blue light glasses. >> But I'm not going to say where they came from because it's probably not going to engender a bunch of positive good. But they're nice glasses. They help me see the computer screen and make sure that I'm not a bad fingering my CLI commands >> Well as old guys need the glasses, certainly I do. Speaking of old and young, this brought up a conversation since that came up, I'll just quickly riff into this cause I think it's interesting, Kelsey Hightower, during the innovation panel talked about how the developers and people want to just do applications, someone to get under the hood, up and down the stack. I was riffing with John Chrysler, around kind of the new generation, the kids coming in, the young guns, they all this goodness at their disposal. They didn't have to load Linux on a desktop and Rack and Stack servers all that good stuff. So it's so much more capable today. And so this speaks to the modern era and the expansion overall of opensource and the expansion of the people involved, new expectations and new experiences are required. So as a product person, how do you think about that? Because you don't want to just build for the old, you got to build for the new as well as the experience changes and expectations are different. What's your thoughts around that? >> Yeah, I think about sort of my start in this industry as a really good answer to that. I mean, I remember as a kid, I think I asked for a computer for every birthday and Christmas from when I was six, until I got one given to me by a friend's parents in 1994, on my way off to boarding school. And so it took that long just for me to get a computer into my hands. And then when I was in school there wasn't any role sort of Computer Science or coding courses until my senior year. And then I had to go to an Engineering School at Rensselaer city to sort of get that experience at the time. I mean, just to even get into this industry and learn how to code was just, I mean, so many things had to go my way. And then Microsoft hired me out of college. Another thing that sort of fell my way. So this work that we're doing is just so important because I worked hard, but I had a lot of luck. But not everybody's going to have some of that, right? Have that luck. So how can we make it just as easy as possible for folks to get started wherever you are. If you have a family and you're working another full time job, can you spend a few hours at night learning Docker? We can help you with that. Download Docker Desktop. We have tutorials, we have great docs, we have great captains who teach courses. So everything we're doing is sort of in service of that vision and that democratization of getting into the ideas. And I love what Kelsey, said in terms of, let's stop talking about the tech and let's stop talking about what folks can do with the tech. And that's very, very poignant. So we're really working on like, we'll take care of all the complexity behind the scenes and all of the VMs and the launching of containers and the network. We'll try to help take care of all that complexity behind the curtain so that you can just focus on getting your idea built as a developer. >> Yeah, and you mentioned Kelsey, again. He got a great story about his daughter and Serverless and I was joking on Twitter that his daughter convinced them that Serverless is great. Of course we know that Kelsey already loves Serverless. But he's pointing out this developer dopamine. He didn't say that's Shawn's word, but that's really what his daughter wanted to do is show her friends a website that she built, not get into, "Hey look, I just did a Kubernetes cluster." I mean it's not like... But pick your swim lane. This is what it's all about now. >> Yeah, I hope my son never has to understand what a service mesh is or proxy is. Right? >> Yeah. >> I just hope he just learn the language and just learns how to bring an idea to life and all the rest of it is just behind me here. >> When he said I had a parenting moment, I thought he's going to say something like that. Like, "Oh my kid did it." No, I had to describe whether it's a low level data structure or (laughs) just use Serverless. Shifting gears on the product roadmap for Docker, can you share how folks can learn about it and can you give some commentary on what you're thinking right now? I know you guys put on GitHub. Is there a link available-- >> Absolutely, available. Github.com/docker/roadmap. We tried to be very, very poignant about how we named that. So it was as easy as possible. We launched it a few months ago. It was a first in terms of Docker publicly sharing it's roadmap and what we're thinking and what we're working on. And you'll find very clear instructions of how to post issues and get started. What our code of conduct is. And then you can just get started and we even have a template for you to get started and submit an issue and talk to us about it. And internally my team and to many of our engineers as well, we triaged what we see changing and coming into the public roadmap two to three times a week. So for a half an hour to 45 minutes at a time. And then we're on Slack, batting around ideas that are coming in and saying how we can improve those. So for everyone out there, we really do pay attention to this very frequently. And we iterate on it and the image vulnerability scannings one of those great examples you can see some other things that we're working on up there. So I will say this though, there has been some continual asks for our Lennox version of Docker Desktop. So I will commit that, if we get 500 up votes, that we will triage and figure out how to get that done over a period of time. >> You heard 500 up votes to triage-- >> 500 >> You as get that. And is there a shipping date on that if they get the 500 up votes? >> No, no, (John laughs) you went to a shipping date yet, but it's on the public roadmap. So you'll know when we're working on it and when we're getting there. >> I want before I get into your session you had with the capital, which is a very geeky session getting under the hood, I'm more on the business side. The tail wind obviously for Docker is the micro services trend. What containers has enabled is just going to continue to get more awesome and complex but also a lot of value and agility and all the things you guys are talking about. So that obviously is going to be a tailwind for you. But as you guys look at that piece of it, specifically the business value, how is Docker positioned? Because a of the use cases are, no one really starts out microservices from a clean sheet of paper that we heard some talks here DockerCon where the financial services company said, "Hey, it's simple stack," and then it became feature creep, which became a monolith. And then they had to move that technical debt into a much more polyglot system where you have multiple tools and there's a lot of things going on, that seems to be the trend that also speaks to the legacy environment that most enterprises have. Could you share your view on how Docker fits into those worlds? Because you're either coming from a simple stack that more often and got successful and you're going to go microservice or you have legacy, then you want to decouple and make it highly cohesive. So your thoughts. >> So the simple answer is, Docker can help on both ends. So I think as these new technologies sort of gain momentum and get talked about a bunch and sort of get rapid adoption and rapid hype, then they're almost conceived to be this wall that builds up where people start to think, "Well, maybe my thing isn't modern enough," or, "Maybe my team's not modern enough," or, "Maybe I'm not moderate enough to use this." So there's too much of a hurdle to get over. And that we don't see that at all. There's always a way to get started. Even thinking about the other thing, and I'd say, one we can help, let us know, ping us, we'll be happy to chat with you, but start small, right? If you're in a large enterprise and you have a long legacy stack and a bunch of legacy apps, think about the smallest thing that you can start with, then you can begin to break off of that. And as a proof of concept even by just downloading Docker Desktop and visual studio code and just getting started with breaking off a small piece, and improve the model. And I think that's where Docker can be really helpful introducing you to this paradigm and pattern shift of containers and containerized packaging and microservices and production run time. >> And certainly any company coming out of his post pandemic is going to need to have a growth strategy that's going to be based on apps that's going to be based on the projects that they're currently working, double down on those and kind of sunset the ones that aren't or fix the legacy seems to be a major Taylor. >> The second bit is, as a company, you're going to also have to start something new or many new things to innovate for your customers and keep up with the times and the latest technology. So start to think about how you can ensure that the new things that you're doing are starting off in a containerized way using Docker to help you get there. If the legacy pieces may not be able to move as quickly or there's more required there, just think about the new things you're going to do and start new in that respect. >> Well, let's bring some customer scenarios to the table. Pretend I'm a customer, we're talking, "Hey Justin, you're looking good. "Hey, I love Docker. I love the polyglot, blah, blah, blah." Hey, you know what? And I want to get your response to this. And I say, "DevOps won't work here where we are, "it's just not a good fit." What do you say when you hear things like that? >> See my previous comment about the wall that builds up. So the answer is, and I remember hearing this by the way, about Agile years ago, when Agile development and Agile processes began to come in and take hold and take over for sort of waterfall processes, right? What I hear customers really saying is, "Man, this is really hard, this is super hard. "I don't know where to start, it's very hard. "How can you help? "Help me figure out where to start." And that is one of the things that we're very very very clearly working on. So first off we just, our docs team who do great work, just made an unbelievable update to the Docker documentation homepage, docs.docker.com. Before you were sort of met with a wall of text in a long left navigation that if you didn't know what you were doing, I would know where to go. Now you can go there and there's six very clear paths for you to follow. Do you want to get started? Are you looking for a product manual, et cetera. So if you're just looking for where to get started, just click on that. That'll give you a great start. when you download Docker Desktop, there's now an onboarding tutorial that will walk you through getting your first application started. So there are ways for you to help and get started. And then we have a great group of Docker captains Bret Fisher, many others who are also instructors, we can absolutely put you in touch with them or some online coursework that they deliver as well. So there's many resources available to you. Let us help you just get over the hump of getting started. >> And Jenny, and on the community side and Peter McKee, we're talking about some libraries are coming out, some educational stuff's coming around the corner as well. So we'll keep an eye out for that. Question for you, a personal question, can you share a proud devOps Docker moment that you could share with the audience? >> Oh wow, so many to go through. So I think a few things come to mind over the past few weeks. So for everyone that has no... we launched some exciting new pricing plans last week for Docker. So you can now get quite a bit of value for $7 a month in our pro plan. But the amount of work that the team had to do to get there was just an incredible thing. And just watching how the team have a team operated and how the team got there and just how they were turning on a dime with decisions that were being made. And I'm seeing the same thing through some of our teams that are building the image vulnerability scanning feature. I won't quote the number, but there's a very small number of people working on that feature that are creating an incredible thing for customers. So it's just how we think every day. Because we're actually almost trying to productize how we work, right? And bring that to the customer. >> Awesome, and your take on DockerCon virtual, obviously, we're all in this situation. The content's been rich on the site. You would just on the captains program earlier in the day. >> Yes. >> Doctor kept Brett's captain taught like a marathon session. Did they grill you hard or what was your experience on the captain's feed? >> I love the captain's feed. We did a run of that for the Docker birthday a few months ago with my co-worker Justin Cormack. So yes, there are two Justin's that work at Docker. I got the internal Justin Slack handle. He got the external, the community Slack Justin handle. So we split the goods there. But lots of questions about how to get started. I mean, I think there was one really good question there. Someone was saying asking for advice on just how to get started as someone who wants to be a new engineer or get into coding. And I think we're seeing a lot of this. I even have a good friend whose wife was a very successful and still is a very successful person in the marketing field. And is learning how to code and wants to do a career switch. Right? >> Yeah. >> So it's really exciting. >> DockerCon is virtual. We heard Kelsey Hightower, we heard James Governor, talk about events going to be more about group conventions getting together, whether they're small, medium, or large. What's your take on DockerCon virtual, or in general, what makes a great conference these days? Cause we'll soon get back to the physical space. But I think the genie's out of the bottle, that digital space has no boundaries. It's limitless and creativity. We're just scratching the surface. What makes a great event in your mind? >> I think so, I go back to thinking, I've probably flown 600,000 miles in the past three years. Lots of time away from my family, lots of time away from my son. And now that we're all in this situation together in terms of being sheltered in place in the global pandemic and we're executing an event that has 10 times more participation from attendees than we had in our in person event. And I sat back in my chair this morning and I was thinking, "Did I really need to fly that 600,000 miles "in the past three years?" And I think James Governor, brought it up earlier. I really think the world has changed underneath us. It's just going to be really hard to... This will all be over eventually. Hopefully we'll get to a vaccine really soon. And then folks will start to feel like world's a little bit more back to "normal" but man, I'm going to really have to ask myself like, "Do I really need to get on this airplane "and fly wherever it is? "Why can't I just do it from my home office "and give my son breakfast and take them to school, "and then see them in the evening?" Plus second, like I mentioned before in terms of access, no in person event will be able to compete ever with the type of access that this type of a platform provides. There just aren't like fairly or unfairly, lots of people just cannot travel to certain places. For lots of different reasons, monetary probably being primary. And it's not their job to figure out how to get to the thing. It's our job to figure out how to get the tech and the access and the learning to them. Right? >> Yeah (murmurs) >> So I'm super committed to that and I'll be asking the question continually. I think my internal colleagues are probably laughing now because I've been beating the drum of like, "Why do we ever have to do anything in person anymore?" Like, "Let's expand the access." >> Yeah, expand the access. And what's great too is the CEO was in multiple chat streams. So you could literally, it's almost beam in there like Star Trek. And just you can be more places that doesn't require that spatial limitations. >> Yeah. >> I think face to face will be good intimate more a party-like environment, more bonding or where social face to face is more impactful. >> We do have to figure out how to have the attendee party virtually. So, we have to figure out how to get some great electronic, or band, or something to play a virtual show, and like what the ship everybody a beverage, I don't now. >> We'll co-create with Dopper theCUBE pub and have beer for everybody if need they at some point (laughs). Justin, great insight. Thank you for coming on and sharing the roadmap update on the product and your insights into the tech as well as events. Appreciate it, thank you. >> Absolutely, thank you so much. And thanks everyone for attending. >> Congratulations, on all the work on the products Docker going to the next level. Microservices is a tailwind, but it's about productivity, simplicity. Justin, the product, head of the product for Docker, VP of product on here theCUBE, DockerCon 2020. I'm John Furrier. Stay with us for more continuous coverage on theCUBE track we're on now, we're streaming live. These sessions are immediately on demand. Check out the calendar. There's 43 sessions submitted by the community. Jump in there, there are own container of content. Get in there, pun intended, and chat, and meet people, and learn. Thanks for watching. Stay with us for more after this break. (upbeat music)

Published Date : May 29 2020

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Jamil Jaffer, IronNet | RSAC USA 2020


 

>>Bye from San Francisco. It's the cube covering RSA conference, 2020 San Francisco brought to you by Silicon angle media. >>Hey, welcome back. Everyone's keeps coverage here in San Francisco at the Moscone center for RSA conference 2020 I'm John, your host, as cybersecurity goes to the next generation as the new cloud scale, cyber threats are out there, the real impact a company's business and society will be determined by the industry. This technology and the people that a cube alumni here, caramel Jaffer, SVP, senior vice president of strategy and corporate development for iron net. Welcome back. Thanks to Shawn. Good to be here. Thanks for having so iron net FC general Keith Alexander and you got to know new CEO of there. Phil Welsh scaler and duo knows how to scale up a company. He's right. Iron is doing really well. The iron dome, the vision of collaboration and signaling. Congratulations on your success. What's a quick update? >> Well look, I mean, you know, we have now built the capability to share information across multiple companies, multiple industries with the government in real time at machine speed. >>Really bringing people together, not just creating collected security or clip to defense, but also collaborating real time to defend one another. So you're able to divide and conquer Goliath, the enemy the same way they come after you and beat them at their own game. >> So this is the classic case of offense defense. Most corporations are playing defense, whack-a-mole, redundant, not a lot of efficiencies, a lot of burnout. Exactly. Not a lot of collaboration, but everyone's talking about the who the attackers are and collaborating like a team. Right? And you guys talk about this mission. Exactly. This is really the new way to do it. It has, the only way it works, >> it is. And you know, you see kids doing it out there when they're playing Fortnite, right? They're collaborating in real time across networks, uh, to, you know, to play a game, right? You can imagine that same construct when it comes to cyber defense, right? >>There's no reason why one big company, a second big company in a small company can't work together to identify all the threats, see that common threat landscape, and then take action on it. Trusting one another to take down the pieces they have folk to focus on and ultimately winning the battle. There's no other way a single company is gonna be able defend itself against a huge decency that has virtually unlimited resources and virtually unlimited human capital. And you've got to come together, defend across multiple industries, uh, collectively and collaboratively. >> Do you mean, we talked about this last time and I want to revisit this and I think it's super important. I think it's the most important story that's not really being talked about in the industry. And that is that we were talking last time about the government protects businesses. If someone dropped troops on the ground in your neighborhood, the government would protect you digitally. >>That's not happening. So there's really no protection for businesses. Do they build their own militia? Do they build their own army? Who was going to, who's going to be their heat shield? So this is a big conversation and a big, it brings a question. The role of the government. We're going to need a digital air force. We're going to need a digital army, Navy, Navy seals. We need to have that force, and this has to be a policy issue, but in the short term, businesses and individuals are sitting out there being attacked by sophisticated mission-based teams of hackers and nation States, right? Either camouflaging or hiding, but attacking still. This is a huge issue. What's going on? Are people talking about this in D C well, >> John, look not enough. People are talking about it, right? And forget DC. We need to be talking about here, out here in the Silicon Valley with all these companies here at the RSA floor and bring up the things you're bringing up because this is a real problem we're facing as a nation. >>The Russians aren't coming after one company, one state. They're coming after our entire election infrastructure. They're coming after us as a nation. The Chinese maybe come after one company at a time, but their goal is to take our electoral properties, a nation, repurpose it back home. And when the economic game, right, the Iranians, the North Koreans, they're not focused on individual actors, but they are coming after individual actors. We can't defend against those things. One man, one woman, one company on an Island, one, one agency, one state. We've got to come together collectively, right? Work state with other States, right? If we can defend against the Russians, California might be really good at it. Rhode Island, small States can be real hard, defends against the Russians, but if California, Rhode Island come together, here's the threats. I see. Here's what it's. You see share information, that's great. Then we collaborate on the defense and work together. >>You take these threats, I'll take those threats and now we're working as a team, like you said earlier, like those kids do when they're playing fortnight and now we're changing the game. Now we're really fighting the real fight. >> You know, when I hear general Keith Alexander talking about his vision with iron net and what you guys are doing, I'm inspired because it's simply put, we have a mission to protect our nation, our people, and a good businesses, and he puts it into kind of military, military terms, but in reality, it's a simple concept. Yeah, we're being attacked, defend and attack back. Just basic stuff. But to make it work as the sharing. So I got to ask you, I'm first of all, I love the, I love what he has, his vision. I love what you guys are doing. How real are we? What's the progression? >>Where are we on the progress bar of that vision? Well, you know, a lot's changed to the last year and a half alone, right? The threats gotten a lot, a lot more real to everybody, right? Used to be the industry would say to us, yeah, we want to share with the government, but we want something back for, right. We want them to show us some signal to today. Industry is like, look, the Chinese are crushing us out there, right? We can beat them at a, at some level, but we really need the governor to go do its job too. So we'll give you the information we have on, on an anonymized basis. You do your thing. We're going to keep defending ourselves and if you can give us something back, that's great. So we've now stood up in real time of DHS. We're sharing with them huge amounts of data about what we're seeing across six of the top 10 energy companies, some of the biggest banks, some of the biggest healthcare companies in the country. >>Right? In real time with DHS and more to come on that more to come with other government agencies and more to come with some our partners across the globe, right? Partners like those in Japan, Singapore, Eastern Europe, right? Our allies in the middle East, they're all the four lenses threat. We can bring their better capability. They can help us see what's coming at us in the future because as those enemies out there testing the weapons in those local areas. I want to get your thoughts on the capital markets because obviously financing is critical and you're seeing successful venture capital formulas like forge point really specialized funds on cyber but not classic industry formation sectors. Like it's not just security industry are taking a much more broader view because there's a policy implication is that organizational behavior, this technology up and down the stack. So it's a much broad investment thesis. >>What's your view of that? Because as you do, you see that as a formula and if so, what is this new aperture or this new lens of investing to be successful in funding? Companies will look, it's really important what companies like forge point are doing. Venture capital funds, right? Don Dixon, Alberta Pez will land. They're really innovating here. They've created a largest cybersecurity focused fund. They just closed the recently in the world, right? And so they really focus on this industry. Partners like, Kleiner Perkins, Ted Schlein, Andrea are doing really great work in this area. Also really important capital formation, right? And let's not forget other funds. Ron Gula, right? The founder of tenable started his own fund out there in DC, in the DMV area. There's a lot of innovation happening this country and the funding on it's critical. Now look, the reality is the easy money's not going to be here forever, right? >>It's the question is what comes when that inevitable step back. We don't. Nobody likes to talk about it. I said the guy who who bets on the other side of the craps game in Vegas, right? You don't wanna be that guy, but let's be real. I mean that day will eventually come. And the question is how do you bring some of these things together, right? Bring these various pieces together to really create long term strategies, right? And that's I think what's really innovative about what Don and Alberto are doing is they're building portfolio companies across a range of areas to create sort of an end to end capability, right? Andrea is doing things like that. Ted's doing stuff like that. It's a, that's really innovation. The VC market, right? And we're seeing increased collaboration VC to PE. It's looking a lot more similar, right? And now we're seeing innovative vehicles like stacks that are taking some of these public sort of the reverse manner, right? >>There's a lot of interests. I've had to be there with Hank Thomas, the guys chief cyber wrenches. So a lot of really cool stuff going on in the financing world. Opportunities for young, smart entrepreneurs to really move out in this field and to do it now. And money's still silver. All that hasn't come as innovation on the capital market side, which is awesome. Let's talk about the ecosystem in every single market sector that I've been over, my 30 year career has been about a successful entrepreneurship check, capital two formation of partnerships. Okay. You're on the iron net, front lines here. As part of that ecosystem, how do you see the ecosystem formula developing? Is it the same kind of model? Is it a little bit different? What's your vision of the ecosystem? Look, I mean partnerships channel, it's critical to every cyber security company. You can't scale on your own. >>You've got to do it through others, right? I was at a CrowdStrike event the other day. 91% of the revenue comes from the channel. That's an amazing number. You think about that, right? It's you look at who we're trying to talk about partnering with. We're talking about some of the big cloud players. Amazon, Microsoft, right? Google, right on the, on the vendor side. Pardon me? Splunk crashes, so these big players, right? We want to build with them, right? We want to work with them because there's a story to tell here, right? When we were together, the AECOS through self is defendant stronger. There's no, there's no anonymity here, right? It's all we bring a specialty, you bring specialty, you work together, you run out and go get the go get the business and make companies safer. At the end of the day, it's all about protecting the ecosystem. What about the big cloud player? >>Cause he goes two big mega trends. Obviously cloud computing and scale, right? Multi-cloud on the horizon, hybrids, kind of the bridge between single public cloud and multi-cloud and then AI you've got the biggies are generally will be multiple generations of innovation and value creation. What's your vision on the impact of the big waves that are coming? Well, look, I mean cloud computing is a rate change the world right? Today you can deploy capability and have a supercomputer in your fingertips in in minutes, right? You can also secure that in minutes because you can update it in real time. As the machine is functioning, you have a problem, take it down, throw up a new virtual machine. These are amazing innovations that are creating more and more capability out there in industry. It's game changing. We're happy, we're glad to be part of that and we ought to be helping defend that new amazing ecosystem. >>Partnering with companies like Microsoft. They didn't AWS did, you know, you know, I'm really impressed with your technical acumen. You've got a good grasp of the industry, but also, uh, you have really strong on the societal impact policy formulation side of government and business. So I want to get your thoughts for the young kids out there that are going to school, trying to make sense of the chaos that's going on in the world, whether it's DC political theater or the tech theater, big tech and in general, all of the things with coronavirus, all this stuff going on. It's a, it's a pretty crazy time, but a lot of work has to start getting done that are new problems. Yeah. What is your advice as someone who's been through the multiple waves to the young kids who have to figure out what half fatigue, what problems are out there, what things can people get their arms around to work on, to specialize in? >>What's your, what's your thoughts and expertise on that? Well, John, thanks for the question. What I really like about that question is is we're talking about what the future looks like and here's what I think the future looks like. It's all about taking risks. Tell a lot of these young kids out there today, they're worried about how the world looks right? Will America still be strong? Can we, can we get through this hard time we're going through in DC with the world challenges and what I can say is this country has never been stronger. We may have our own troubles internally, but we are risk takers and we always win. No matter how hard it gets them out of how bad it gets, right? Risk taking a study that's building the American blood. It's our founders came here taking a risk, leaving Eagle to come here and we've succeeded the last 200 years. >>There is no question in my mind that trend will continue. So the young people out there, I don't know what the future has to hold. I don't know if the new tape I was going to be, but you're going to invent it. And if you don't take the risks, we're not succeed as a nation. And that's what I think is key. You know, most people worry that if they take too many risks, they might not succeed. Right? But the reality is most people you see around at this convention, they all took risks to be here. And even when they had trouble, they got up, they dust themselves off and they won. And I believe that everybody in this country, that's what's amazing about the station is we have this opportunity to, to try, if we fail to get up again and succeed. So fail fast, fail often, and crush it. >>You know, some of the best innovations have come from times where you had the cold war, you had, um, you had times where, you know, the hippie revolution spawn the computer. So you, so you have the culture of America, which is not about regulation and stunting growth. You had risk-taking, you had entrepreneurship, but yet enough freedom for business to operate, to solve new challenges, accurate. And to me the biggest imperative in my mind is this next generation has to solve a lot of those new questions. What side of the street is the self driving cars go on? I see bike lanes in San Francisco, more congestion, more more cry. All this stuff's going on. AI could be a great enabler for that. Cyber security, a direct threat to our country and global geopolitical landscape. These are big problems. State and local governments, they're not really tech savvy. They don't really have a lot ID. >>So what do they do? How do they serve their, their constituents? You know, look John, these are really important and hard questions, but we know what has made technology so successful in America? What's made it large, successful is the governor state out of the way, right? Industry and innovators have had a chance to work together and do stuff and change the world, right? You look at California, you know, one of the reasons California is so successful and Silicon Valley is so dynamic. You can move between jobs and we don't enforce non-compete agreements, right? Because you can switch jobs and you can go to that next higher value target, right? That shows the value of, you know, innovation, creating innovation. Now there's a real tendency to say, when we're faced with challenges, well, the government has to step in and solve that problem, right? The Silicon Valley and what California's done, what technology's done is a story about the government stayed out and let innovators innovate, and that's a real opportunity for this nation. >>We've got to keep on down that path, even when it seemed like the easier answer is, come on in DC, come on in Sacramento, fix this problem for us. We have demonstrated as a country that Americans and individual are good at solve these problems. We should allow them to do that and innovate. Yeah. One of my passions is to kind of use technology and media to end communities to get to the truth faster. A lot of, um, access to smart minds out there, but young minds, young minds, uh, old minds, young minds though. It's all there. You gotta get the data out and that's going to be a big thing. That's the, one of the things that's changing is the dark arts of smear campaigns. The story of Bloomberg today, Oracle reveals funding for dark money, group biting, big tech internet accountability projects. Um, and so the classic astroturfing get the Jedi contract, Google WASU with Java. >>So articles in the middle of all this, but using them as an illustrative point. The lawyers seem to be running the kingdom right now. I know you're an attorney, so I'm recovering, recovering. I don't want to be offensive, but entrepreneurship cannot be stifled by regulation. Sarbanes Oxley slowed down a lot of the IPO shifts to the latest stage capital. So regulation, nest and every good thing. But also there's some of these little tactics out in the shadows are going to be revealed. What's the new way to get this straightened out in your mind? We'll look, in my view, the best solution for problematic speech or pragmatic people is more speech, right? Let's shine a light on it, right? If there are people doing shady stuff, let's talk about it's an outfit. Let's have it out in the open. Let's fight it out. At the end of the day, what America's really about is smart ideas. >>Winning. It's a, let's get the ideas out there. You know, we spent a lot of time, right now we're under attack by the Russians when it comes to our elections, right? We spent a lot of time harping at one another, one party versus another party. The president versus that person. This person who tells committee for zap person who tells committee. It's crazy when the real threat is from the outside. We need to get past all that noise, right? And really get to the next thing which is we're fighting a foreign entity on this front. We need to face that enemy down and stop killing each other with this nonsense and turn the lights on. I'm a big believer of if something can be exposed, you can talk about it. Why is it happening exactly right. This consequences with that reputation, et cetera. You got it. >>Thanks for coming on the queue. Really appreciate your insight. Um, I want to just ask you one final question cause you look at, look at the industry right now. What is the most important story that people are talking about and what is the most important story that people should be talking about? Yeah. Well look, I think the one story that's out there a lot, right, is what's going on in our politics, what's going on in our elections. Um, you know, Chris Krebs at DHS has been out here this week talking a lot about the threat that our elections face and the importance about States working with one another and States working with the federal government to defend the nation when it comes to these elections in November. Right? We need to get ahead of that. Right? The reality is it's been four years since 2016 we need to do more. That's a key issue going forward. What are the Iranians North Koreans think about next? They haven't hit us recently. We know what's coming. We got to get ahead of that. I'm going to come again at a nation, depending on staff threat to your meal. Great to have you on the QSO is great insight. Thanks for coming on sharing your perspective. I'm John furrier here at RSA in San Francisco for the cube coverage. Thanks for watching.

Published Date : Feb 27 2020

SUMMARY :

RSA conference, 2020 San Francisco brought to you by Silicon The iron dome, the vision of collaboration and Well look, I mean, you know, time to defend one another. Not a lot of collaboration, but everyone's talking about the who the attackers are and collaborating like a And you know, you see kids doing it out there when they're playing Fortnite, take down the pieces they have folk to focus on and ultimately winning the battle. the government would protect you digitally. and this has to be a policy issue, but in the short term, businesses and individuals are sitting out there out here in the Silicon Valley with all these companies here at the RSA floor and bring up the things you're bringing Rhode Island, small States can be real hard, defends against the Russians, You take these threats, I'll take those threats and now we're working as a team, like you said earlier, You know, when I hear general Keith Alexander talking about his vision with iron net and what you guys are doing, We're going to keep defending ourselves and if you can give us something back, Our allies in the middle East, they're all the four lenses threat. Now look, the reality is the easy And the question is how do you bring some of these things together, right? So a lot of really cool stuff going on in the financing world. 91% of the revenue comes from the channel. on the impact of the big waves that are coming? You've got a good grasp of the industry, but also, uh, you have really strong on the societal impact policy Risk taking a study that's building the American blood. But the reality is most people you see around at this convention, they all took risks to be here. You know, some of the best innovations have come from times where you had the cold war, you had, That shows the value of, you know, innovation, creating innovation. You gotta get the data out and that's going to be a big thing. Sarbanes Oxley slowed down a lot of the IPO shifts to the latest stage capital. It's a, let's get the ideas out there. Great to have you on the QSO is

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Cristina Pirola, Generali Assicurazioni & Leyla Delic, Coca Cola İçecek | UiPath FORWARD III 2019


 

>>Live from Las Vegas. It's the cube covering UI path forward Americas 2019. Brought to you by UI path. Hello everyone and welcome >>do the cubes live coverage of UI path forward. I'm your host, Rebecca Knight, co-hosting alongside of Dave Volante. We are joined by Layla Delage. She is the chief information and digital officer at Coca-Cola. ECEK thanks so much for coming on the show. Thank you. Great to be here. Very exciting. And also Christina Perala, she is the group RPA lead at Generali. Thank you so much for coming into, for inviting me. Thank you. So I want to hear from you both about what, what your industry is and what your role is. Level. Let's start with you. Okay, great. Um, so we are, um, one of the Rogers bottlers within the Coca-Cola system. Uh, we produce, distribute and sell Coca Cola company products. The operating around 10 countries are middle East and central Asia and parts of middle East, Pakistan, Syria and Turkey. They are actually born out of Turkey and that's where our central offices, um, we've operate with 26 plants, around 8,500 employees. >>Uh, we serve a consumer base of 400 million and we have around close to 1 billion, uh, customers. Uh, and we continue to invest in the countries where we operate. And my role is to film and my role is all things digital within this community. So leading technologists, leading technology, all things digital. Yes. So Christina, tell us about Generali. Generalia. Sikora Zuni is a leading insurance company as the presidency. Enough 50 countries worldwide and more than a 70,000 employees that were wider. So it's a bigger company, not only for insurance. And my role with the internet rally group is to leader the LPA program. So I'm inside of the group that I in digital. So am I inside this group, I'm very focused on smart process automation. So RPA plus AI, because a has a, we already know all I loudly, LPA without a AI is announcer nowadays. So we have to keep on talking about AI, machine learning algorithms to enrich, uh, uh, the capabilities of basic robotic sell, hand reach, also the Antwerp and automation of processes. You're the CIO and the CDO. Yes. Yes. That's unique. First of all, there's one that's unique too. It's even more unique than a woman has both roles. So what's the reason behind it? So, um, there's definitely a reason behind it. I joined the Coca Cola >>system about a year ago, so I'm just a over a year in the company. The reason actually I wanted to make sure that we highlight the CIO and CTO CDO role together is, um, I want to advocate for all the it organizations to transform and really get into the digital world and get into the world of advanced technologies, become strategic business partners. Get out of the kitchen, I call it kitchen kitchen, it, you know, get out of the managing of data centers or cloud and um, just the core foundational systems and applications. Get into the advanced technology, understand the business, gain business acumen and deliver solutions based on business needs. So to highlight that, I want to make sure that I hold the role of both and I'm able to be advocate of both worlds. Cause digital without it support is not able to accomplish what they need to accomplish and it needs to get into more of the digital space. And Christina, as the RPA, you write bots, you evangelize the organization. >>Um, mostly the second. So in generally we have a, a very, uh, so, uh, sort of ivory the organization. So for something we are very decentralized, for example, for the developing of robots or the deploying for the action, the operational stuff and so on. Uh, but uh, for some stuff like a guidelines, uh, uh, risk framework to ensure that robots can do their work in the right way with notice to all for the business processes, uh, for this stuff before guidelines, framework, best practice sharing. We are a central centralized, we, we try to be centralized. So, uh, my role is to try to collect is to collect and not try and super lat, uh, best practices and share with you in the companies chair, uh, um, the best use cases. And, uh, also tried to gather what are the main concerns, what are the difficulties in order to a facilitator and to boost smarter process automation of the option. So >>Laila, you are up on the main stage this morning. You, I Pat highlighted Coca Cola itchy as a, as a customer that is embraced automation, embrace the UI pass solution. So tell us a little bit about the challenges you are facing and then why you chose I a UI path. So as I joined the company, uh, I introduced a very strong digital strategy that required a lot of change and it's within a company that has been very successfully operating all these years and doing pretty much know what to do very well. And all of a sudden with digital we are starting to disrupt the, are trying to say, Hey, we've got to change the way, do some of the things. Um, so belief in digital and belief that it can really bring efficiency and outcomes was very important. And I needed a quick win. I needed to have a technology or a solution or an outcome that I would generate very quickly and show to the whole organization that this can be done and we can do this as Coca-Cola. TJ. >>So that was, that was RPA, that was our PA for this fascinates me because you're an incumbent business, been around for a long time. you're a bottler and distributor, right? So yeah, processes are around the bottling plants and the distribution system. Yes. And now you're transforming into a digital business. Yes. I'll put data at your core. Totally not start his daytime customer. Okay. So describe the difference between the traditional business and what it looks like when you've transformed, particularly from a data perspective. And then I want to understand what role RPA plays. So we are definitely a very data rich company, however, to call ourselves data rich and to call it a strategic asset, I first need to capture and control my data and I have to treat it like a strategic asset. So that is a huge transformation. The second, once you treat it as an asset, how do you generate more insights? >>And I call this augmenting the gut feeling. I have an amazing gut feeling in the company. How do I augment that with data and provide our, this is partners and then our customers and our suppliers and some of the information. And then obviously future maturity level is, you know, shared economy and data monetization, et cetera. So that's how I describe within the company. And then assets, other assets like our plants and coolers cooler, we call it cooler, you know, where do you actually see all our products? They are called, they are visible and they are available, but they are also in that set where I can turn them into a digital cooler and I can do so much more with the cooler that standing. And I recently, in one of our leadership meetings I said we have as many coolers as the um, population on the fishy Island, which is close to 1 million. >>So just imagine in this new world, in this digital era, everything that you can do by just having a cooler, 1 million coolers present out there on the street, I can serve the consumers, I can serve customers with very different information. So that's kind of what I mean by turning the business into a digital business. So that's an awesome story. By the way, how does RPA fit into that vision? RPA is everywhere in division. So I said when I started the journey, uh, any digital journey has some Muslim battles for me. There are four must win battles. I need to get certain things right in it, in the, and that was one, one of the Mustin battles was alteration. So we have to create efficiency, we have to optimize, we have to streamline. And we said automation first. Um, and we started with, I call it robotics and automation. >>And I agree with what you said, Christina. It's more than just robots. It's actually a strategic application. It could be a good old ERP. It's the RPA, it's AI, it's all the other technologies that are out there that they bring the two of them brings. So how do you create this end to end solution using all the trends, technologies to create optimization? Uh, our goal was how do we get back to our customer much faster. We had so many customer facing processes and they're going to be there forever. They are a very customer centric customer into company obviously. So how do I get back to my customer faster? How do I make my employees just happy? They were working on so many things would be until midnight over time during weekends. How do I take that away from them? So we called it lifting the weight of the shoulders and giving you a new capabilities. So again, augmentation and then giving them that space. So we had uh, three of my employees upskilled and reskilled themselves. They became a developers in the robotics space, a couple of fire functional, um, colleagues are now reskilling themselves because now they have the time to reskill. More importantly, they have the time to actually leverage their expertise and they are so much more motivated. The engagement, the employee engagement is increasing. So that's how we are positioning RPA. Pristina ICU >>nodding a lot, your head too. A lot of what Layla is saying. I'm wondering if you can talk to about any best practices that have emerged as you've implemented RPA at Generali to what you've learned. Yes, for sure. Um, we have a lot of processes automated, uh, all around the group. Uh, but we are not, we have not reached our maximum or, uh, benefits, uh, gaining. So what we need to do right now is to try to boost the smart process automation, uh, via analyzing the issue around value, Cena. So each business area of the value chain because currently we have countries that has, that have a different level of maturity. So, so some countries are at the very beginning and we have to help them with best practice sharings with a huge case, successful use cases. And we are, uh, we have a lot of help from parts into, in this because locally and who I Potter as a, a very strong presence and is very powerful in doing that. >>And, uh, now, uh, our next mouth are very focused on try to, um, uh, deep dive, the vertical, our area of the issue around value chain and identify which are the processes inside them are best to automated. Uh, uh, Basinger. Uh, these activities are not so you, I part, we'd, his experience has created a heat mapper, value chain Heath mapper. And so it's given up as some advice where to focus our strengths, our hand energy in automating. And I think that this is a very huge, uh, uh, support that you are UI parties given us. So it's not just a matter of, okay, let's start, uh, uh, do some, uh, process assessment in order to identify which processes are the best candidates to be automated. But, uh, we have, uh, how our back, uh, us. So we, we are, uh, we have the backing of UI pass saying it's better to do that and automate in depth, uh, processes of that, but Oh, the value chain. So we are starting a program to do that with all the countries or the vertical area of the country. So, and I think that this could really bring a, uh, high benefits and can, uh, uh, drive us to, uh, really having a scaling up in using a smart process, automation and UI. But you a bot ecosystem not only are, so >>one of the nice things about RPA is you can take the software robots and apply them to an existing process. A lot of times changing processes and a lot of times almost always changing processes is painful. However, we've talked to some customers that have said by applying RPA to our business, it's exposed some really bad processes. Have you experienced that and can you maybe share that experience with it? Absolutely. So for us, one of the initial, um, robots, we applied to a customer facing process. It was our field team trying to get back to our customer with a, with some information. And we realize that the, um, the cycle time was very long. And the reason is there are four functions involved in answering the question and seven different applications are being touched all the way from XL to ERP to CRM. So what we did obviously bringing a strategic solution to fix the cycle time and reduce that to streamline the process was going to take us long. So RPA was great help. We reduced the cycle time by putting a robot and we were able to get back to ours, priests, sales team in the field in matter of minutes. What used to take hours was now being responded to in minutes. Now that doesn't mean that process is perfect, but that's our next step. So we created value for our customer and our sales team within the field, um, before, you know, streamlining and going into a bigger initiatives. So then you could share Christina. >>Yes. Uh, so, um, it is necessary to automate something that could be automated. So, uh, it is necessarily to out optimize the process before automating it, but sometimes it's better to automate it as Caesar because, uh, also the not optimize the process can bring value if ultimated. So let me share an example. If you, for example, have to migrate some data obviously is a one shot, uh, uh, activity. But with the robot you can do it in a very short, well sharp timer. Maybe it's not the best, uh, process to be automated, but that could be useful as well. So it's always a matter of understanding the costs and the benefits. Uh, and sometimes, uh, FBA is very quickly, is very quick to be implemented and can be, can have a, also a lot of savings instead of integrating instead of doing more complex things. >>And then other things, uh, that it's important to take into account is that, uh, uh, after having a automating goal, all the low hanging fruits and so the processes with a low cost, uh, uh, low complexity and high benefits, uh, then it starts to facer when it's necessary to understand how to the end to end processes. Because, uh, it happens, uh, in, uh, some of our countries that, uh, the second phase is very difficult because, uh, the situation is that you have very, um, a lot of very fermented processes. And so before automating it is necessary to apply operational efficiency methodology, lean six Sigma, rare business process for engineering and then automate it. So it's a longer trip. And our Amer as group head office in general is to give these kinds of methodologies and best practices for all kinds of level of maturity in our countries. So finally, w what is the customer is the employee response then in terms of how you're talking a lot about streamlining, getting rid of these tedious tasks that took forever, how, how our employees reacting to the implementation. >>So we, um, we actually launched the, uh, announce announced RPA robotics and automation with a Hekaton in our company. And we invited 40 colleagues from various functions and two and everybody from the business was there and they participated actually in gathering ideas and prioritizing what matters most to the company. And we looked at customer, we looked at compliance, we look to the employee and we actually with during the hackathon you iPad team helped us to go live with one of the robots. They were mesmerized. They couldn't believe that this could happen. I think that's where we kind of engaged them and now going forward everyone who generate the idea was part of the building of the robots so they continue to be engaged to me allowed them to name the robots so they start naming and once the robots were alive yet literally had some of our teams who are dancing from happiness and I think that said it all. That was the strongest voice of our business partner and we published that video. So our business partners became our advocates and that's really our how we born the robotic and automation within CCI. We have so many advocates right now they are coming to us. Our business partners are coming to us with more use cases and they are actually, they are sharing with rest of the system within Coca-Cola and with the group that we are part of locally in Turkey, they are sharing their stories. So now we have a hype going on in the system. >>Yes. And in generally, um, at the beginning, uh, we face some fears in our employees fears of losing their job, but fear is not be able to use this kind of technology. Uh, but, uh, also with the help of HR because I, Charlie is, uh, driving a huge program of upskilling and reskilling of people. Uh, nowadays, uh, also hand user are very happy to use robotics, uh, because, uh, uh, when they realize that they can really help in their activities, in their very boring and not useful activities, they are very happy to enjoy this, this program. But it is so, uh, it, it was a trip, a journey with the employees to make them understand that it's not something that, uh, is affecting their job. So, at least in generally group, we are, we are programming, uh, these, uh, uh, or employees, uh, journey in order to make them, uh, uh, to have more, uh, uh, awareness about robotics and not be scared about it. Layla and Christina, thank you both so much for coming on the cube. It was wonderful. Thank you very much for you. I'm Rebecca Knight for Dave Volante. Please stay tuned for more of the cubes live coverage of UI path forward.

Published Date : Oct 15 2019

SUMMARY :

Brought to you by UI path. So I want to hear from you both about what, what your industry is and what your role is. So we have to keep on talking about AI, And Christina, as the RPA, you write So in generally we have a, So as I joined the company, uh, I introduced a So describe the difference between the traditional in one of our leadership meetings I said we have as many coolers as the So we have to create efficiency, So that's how we are positioning RPA. the very beginning and we have to help them with best practice sharings with a huge So we are starting So we created value for our customer and our sales team within the field, Uh, and sometimes, uh, FBA is very quickly, the end to end processes. So now we have a hype going on in the system. the beginning, uh, we face some fears in our employees fears

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Josh Biggley, Cardinal Health | New Relic FutureStack 2019


 

(upbeat techno music) >> Announcer: From New York City, it's theCUBE, covering New Relic FutureStack 2019, brought to you by the New Relic. >> Hi, I'm Stu Miniman and this is theCUBE's exclusive coverage of New Relic's Futurestack 2019 here in New York City, seventh year of the show. Our first year here, about 600 or so in attendance, and real excited, because we've had some of the users here to help kick off our coverage. And joining us, first time guest on the program, Josh Biggely is a senior engineer of Enterprise Monitoring, with Cardinal Health coming to us from a little bit further north and east than I do, Prince Edward Island, thank you so much for coming here to New York City and joining me on the program. >> Yeah, thanks for having me Stu, I'm excited to be here. I haven't been in New York, it's probably been more two decades. So it's nice to be back in a big city, I live in a very small place. >> Yeah, so if you go to Times Square, it's now Disneyland, is what we call it. It's not the 42nd street that it might've been a couple of decades ago. I grew up about 45 minutes from here, so it's gone through a lot, love the city, especially gorgeous weather we're having here in the fall. >> I'm excited for it. >> All right, so Josh, Cardinal Health, health is in the name so we think we understand a little bit about it, but tell us a little bit about the organization itself and how it's going through changes these days. >> Sure, so Cardinal Health is a global healthcare solutions provider. We are essential to care, which means we deliver the products and solutions that your healthcare providers need to literally cure disease, keep people healthy. So we're in 85% of the hospitals in the United States, 26,000 pharmacies, about 3,000,000 different home healthcare users receive products from us. Again we're global, so we're based in Dublin, Ohio, just outside of Columbus. But obviously, I live in Canada so I work for the Cardinal Health Canada Division. We've got acquisitions around the world. So yeah, it's an exciting company. We've recently gone through a transformation not only as a company, but from a technology side where we've shifted one of our data centers entirely into the cloud. >> All right, and Josh, your role inside the company, tell us a little bit about, you said it's global, what's under your purview? >> So my team is responsible for Enterprise Monitoring, and that means that we develop, deploy, support and integrate solutions for monitoring both infrastructure applications and digital experience for our customers. We have a number of tools, including New Relic, that we use. But it's a broad scope for a small team. >> Stu: Okay, and you've talked about that transformation. Walk us through a little bit about that, what led to, as you said, some big moves into public cloud? >> Yeah, our team is part of an overall effort to allow Cardinal Health to be more adaptive, to be more agile. The move to cloud allows teams that are developing applications and platforms to make a decision how to respond to the needs of their customers more rapidly. Gone are the days of, "I need a new server, "I need to predict six months from now "that I'm going to need a new server, "put the order in, get it delivered, "get it racked, get it wired." We watch a lot of people, the provision on demand. I mean, our senior vice president, or my senior vice president, likes to say, "I want you to fail fast, fail cheap." He does not say fail often. Although sometimes I do that, but that's okay. As long as you recognize that you're failing and can roll that back, redeploy, It's been really transformative for my team in particular, who was very infrastructure focused when I started with the company five years ago. >> Stu: All right, and can you bring us inside from your application portfolio, was it a set of applications, was it an entire data center? What moved over, how long did it take, and can you share what cloud you're using? >> Sure, so it's been about a two year journey. We're actually a multicloud company. We've got a small footprint in Azure, small footprint in AWS, but we're primarily in Google Cloud. We are shutting down one data center, we are minimizing another data center, and we've moved everything. We've moved everything from small bespoke applications that are targeted on team to entire ecommerce platforms and we've done everything from lift and shift, which I know you don't like to hear. But we've done lift and shift, we've done rehosting, we've done refactoring and we have re-architected entire platforms. >> Yeah, so if you could expand a little bit when we say lift and shift, I'm fine with lift and shift as long as there's another word or plan after that which I'm expecting you do have. >> Josh: Yeah, absolutely. So the lift and shift was, "Hey, let's move from our data centers into GCP. "Let's give teams the visibility, the observability "that they need so that they can make the decisions on "what they need to do best." In a lot of cases, or in fact, in 15% of the 6,500 severs that we touch, we actually full out decommed the instance. Teams had them, they were running at our data centers but they weren't actually providing any value to the company. >> So you said your team before was mostly concerned about infrastructure and a lot of what you did is now on GCP so you fired the entire team and you hired a bunch of PhDs to be able to manage Google environments? >> Absolutely not. (laughter) The principals of enterprise monitoring as a practice still apply in a cloud. We are, at heart, data geeks. And I would fair say that we're actually data story tellers. Our job is to give tools and methodologies to application teams who know what the data means in context, but we give the tools to provide that data to them. >> Stu: All right, love that. I believe I've actually seen data geek shirts at the the New Relic shows itself. But data story tellers, that was kind of thing that you heard, "I have a data scientist "that's going to help us to do this." Is that data scientist in New York or are you actually enabling who is able to tell those data stories today? >> So that is the unique part. Data story telling is not a data science. I wish that I could be a data scientist, I like math, but I'm not nearly that good at it. A data story teller takes the data and the narrative of the business, and weaves them together. When you tell someone, "Here's some data." They will look at it and they will develop their own narrative around it. But as a story teller you help craft that narrative for them. They're going to look at that data and they're going to feel it, They're going to understand it and it's going to motivate them to act in a way that is aligned with what the business objectives are. So data story tellers come in all forms. They come as monitoring engineers, they're app engineers, but they're also people who are facing the customer, they're business leaders, they're people in our distribution centers who are trying to understand the impacts of orders in their order flow, in their personnel that they have. It is a discipline that anyone can engage in if we're willing to give them the right tools. >> All right, so Josh, you got rid of a data center, you're minimizing a data center, you're shifting to cloud, you're making a lot of changes and now being able to tell data stories. Can you tell us organizationally everything goes smoothly or are their anythings that you learned along the way that maybe you could share with your peers to help them along that journey? And any rough spots, with hindsight being what it is, that you might be able to learn from? >> Yeah, so hindsight definitely 20/20. The one thing that I would say to folks is get your data right. Metadata, trusting your data is key, it's absolutely vital. We talk a lot about automation and automation is one of those things that the cloud enables very nicely. If you automate on garbage data, you are going to automate garbage generation. That was one of our struggles but I think that every organization struggles with data fidelity. But teams need to spend more time in making sure that their data, specifically their metadata, around, "Hey is this prod, is it non-prod, "what stack is this running, who built it?" Those things definitely need to be sorted out. >> Okay, talk about the observability and the monitoring that you do, how long have you been using New Relic and what products? And tell us a little about that journey. >> Sure, so we've been using New Relic for about two years. It was a bit of a slow run up to its adoption. We are a multi-tool company so we have a number of tools. Some of them are focused primarily on our network infrastructure, our on-prem storage. Although Cardinal had moved predominantly to the cloud, we have distribution centers, nuclear pharmacies all around the world. And those facilities have not gone into the cloud. So you've got network connectivity. New Relic for us has filled our cloud niche and observability, as Lou announced, is going to give us context to things that we're after. You hear the term dark data, we call them obs logs. It's data that we want to have, we only need it for a very short period of time to help us do post-op or RCAs as well as to look at, overall in our organization, the performance of the applications. For us, New Relic is going to give us an option to put data for observability. Observability is really about high fidelity data. In its world of cloud, everyone wants everything right now. And they also want it down to the millisecond. A platform that can pull that off, that's a remarkable thing. >> Yeah, Veruca Salt had it right, "I want it now." So are you using New Relic One yet? >> We have been using New Relic One for at least a couple of months going back into March this year. It's exciting, we're one of those companies that Lou talked about in his key note, we have hundreds of sub accounts. And we did so very intentfully, but it was a bit of a nightmare before we got to New Relic One. That ability for a platform team to see across multiple sub accounts, really powerful. >> Okay, so you saw a lot of announcements this morning. Anything particular that jumped out, you were excited? Because Lou kept saying over and over, and if you're using New Relic One, "This is free, this is free, this is free." That platform where it's all available for you now. >> I think the programmability is one of the things that really got me excited. One of the engineers on my team had a chance to go and sit with Lou and team, two weeks ago, and was part of that initial Hackathon. Made some really interesting things. That's exciting so shout out to Zack and the work he did. Logging, for me, is something that is huge. I know we've got data that we should have in context. So that Lou announced five terabytes of ingestion for free, all I could do was tap my fingers together and think, "Oh, okay. You're asking for it, Lou. Challenge accepted." (laughter) >> Stu: That's exciting, right. So you feel that you're going to be building apps, it sounds like already, at the FutureHack. That you're starting to move down that path. >> Definitely, and I'm really excited. Not to necessarily give it to my team. We build the patterns for teams that needs patterns, but there are so many talented individuals at Cardinal Health who, if we give them the patterns to follow, they're just going to go execute. Open sourcing that is a brilliant idea and really crowd sourcing development is the way to go. >> Yeah, I think you bring up a really interesting point. So even though your team might be the one that provides the platform, you're giving that programmability, sensibility to a broader audience inside the team and democratizing the data that you have in there. >> Yes, you keyed in on one of the things I love to talk about which is democratized access to data. Over and over again you'll hear me preach that, "I know what I know but I also know what I don't know "and more particular I don't know what I don't know. "I need other people to help me recognize that." >> We've really talked about that buzzword out there about digital transformation. When it is actually being happened, it goes from, "Oh, somebody had an opinion," to, "Wait, I actually now can actually get to the data, "and show you the data and leverage the data "to be able to take good actions on that." >> That's right, data driven decision making is not just just an idiom. It's not something that is a buzzword, it is a practice that we all need to follow. >> Stu: All right, so Josh, you're speaking here at the show. Give our audience just a quick taste, if you will, about what you're going to be sharing with your peers here at the show. >> We've actually talked about a lot of it already so I hope that people are not going to watch this session before my session later. But it really is around the power of additional transformation, the power of observability, what happens when you do things right, and the way the cloud makes teams more nimble. I won't give you it all because then people won't watch my session on Replay but, yeah, it'll be good. >> Well, definitely they should check that out. I'm hoping New Relic has that available on Replay. Give the final word here, what you're really hoping to come out of this week. Sounds like your team's deeply engaged, you've done the Hackathon, you're working with the executive teams. So FutureStack 2019, what are you hoping to walk away with? >> For me, it's about developing patterns. My team, in addition to our enterprise architecture team, is responsible for mapping out what we're going to do and how we're going to do it. Teams want to go fast and if we're not going to lay down the foundation for them to move quickly, especially in the realm of enterprise monitoring, they're going to try do it themselves. Which may or may not work. We don't want to turn teams away from using specific tools if it fits, but if there's a platform that will allow them to execute and to keep all that data centralized, that is really the key to observability. Having that high fidelity data, but then being able to ask questions, not just of the data you put in, but the data that put in maybe by a platform team or by a team that supported Kubernetes or PCF. >> All right, well, Josh Biggely, thank you so much for sharing all that you've been going through in Cardinal Health's transformation. Great to talk to you. >> Thanks so much, Stu. >> All right, lots more here at New Relic's FutureStack 2019. I'm Stu Miniman and as always, thank you for watching theCUBE. (light techno music)

Published Date : Sep 19 2019

SUMMARY :

brought to you by the New Relic. and joining me on the program. So it's nice to be back in a big city, Yeah, so if you go to Times Square, health is in the name so we think We are essential to care, and that means that we develop, deploy, support what led to, as you said, some big moves into public cloud? and platforms to make a decision to entire ecommerce platforms Yeah, so if you could expand a little bit in 15% of the 6,500 severs that we touch, to application teams who that was kind of thing that you heard, and it's going to motivate them that maybe you could share with your peers that the cloud enables very nicely. that you do, how long have you been is going to give us context to things that we're after. So are you using New Relic One yet? to see across multiple sub accounts, really powerful. Anything particular that jumped out, you were excited? That's exciting so shout out to Zack and the work he did. So you feel that you're going to be building apps, and really crowd sourcing development is the way to go. and democratizing the data that you have in there. "I need other people to help me recognize that." "Wait, I actually now can actually get to the data, it is a practice that we all need to follow. Give our audience just a quick taste, if you will, so I hope that people are not going to watch this session So FutureStack 2019, what are you hoping to walk away with? that is really the key to observability. Great to talk to you. thank you for watching theCUBE.

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Aileen Gemma Smith, Vizalytics Technology Inc | AWS Public Sector Summit 2019


 

>> Narrator: Live from Washington D.C. it's the Cube covering AWS Public Sector Summit. Brought to you by Amazon Web Services. >> Welcome back everyone to the Cube's live coverage of the AWS Public Sector Summit here in our nation's capital, I'm your host Rebecca Knight. We are joined by Aileen Gemma Smith, the CEO and co-founder of Vizalytics Technology. Thank you so much for coming on the cube. >> Thank you for having me, it's a pleasure to be here. >> Let's start by telling our viewers a little bit about Vizalytics, there's a story there about how you founded it. >> Thank you, the mission of Vizalytics is enabling change with data and we saw tremendous opportunity in open and public available data to say, let's make a difference for communities and the whole reason why we started was in 2012 Hurricane Sandy hit my home town of Staten Island and I saw firsthand digital divide, people need access to information, it's not put together in a format that they can use, but it actually is there, so I said, we've got to do something to make a difference. Our first product was a mobile app for shopkeepers. We had thousands of users throughout New York City and then that led on to out first enterprise client being the City of New York. >> The mobile app for shopkeepers could do what? What did it do? >> It let you know everything that was going on outside and around your business that could make a difference to your bottom line, so imagine all you had to do is business name, business address, I'm going to tell you here's your risk for fines, here's when there's going to be public works, here's when someone's filed for a different permit, et cetera, and shopkeepers loved it because we didn't have to do anything to get that information, you told me exactly what I needed to know and you made it really easy to share. >> And now you are a woman founder, a female founder with a she builds t-shirt on and an AWS Hero medallion. Tell me more about this. >> Absolutely, it is a distinct privilege to be an AWS Community Hero. Community Heroes are evangelists for the community where we're talking about how can we build and create more diverse and inclusive communities. I'm privileged and honored to be the only female hero in the Australia and New Zealand region, so I'm determined to say, how can we support more women, how can we support more underestimated founders and tech developers? We have this whole series called She Builds on AWS. We've got events in Sydney, Melbourne, soon to be in Perth, et cetera and that's how we're doing more for our community and as a Community Hero how can I find more voices who aren't me, give them a platform to say, we need to hear what you're building and what you're doing and how can we all support one another as we want to build on on AWS. >> What is it to be like at event like this, where as you said you're the only female Community Hero here, how often are you getting together, collaborating, learning, and how are best practices emerging and what are those best practices? >> First off I want to mention that we have the first ever developer's lounge here in the main hall which is great because we need to see that here in public sector and having those opportunities to meet and greet and talk with folks, hey, you're working on this as well? Tell me more about what you're doing, let me surface out what kind of solutions you're doing, that's where all of the energy and the excitement happens because then you start to discover, oh, I didn't know. Folks are working on this and this, hey we've got the same problem and especially in public sector where folks so often have the challenge of different siloes. I didn't know what I didn't know, how can we bring them all together, so seeing that here in public sector where we can champion, you've got all of these different folks who are working together, it's just a wonderful opportunity. >> And what are you hearing? The big theme here is about IT modernization in the public sector, the public sector, for better or for worse has a reputation of being a little slow or a little more antiquated, there's certain divisions of the government in particular and educational institutions that are incredibly innovative. >> Absolutely. >> Rebecca: Where do you think things stand right now? >> There's absolutely positive change and I like to celebrate here are the leaders and here are the folks that are doing more, yes, public sector does, for good reasons in some cases take a long time to say, how do we want to change, do we feel safe for this change, et cetera, but then you see pockets of excellence. I'm currently based in Sydney, Australia. Transport for New South Wales is one of our clients and I am honored and excited by all that they're doing where at the executive level you have buy-in and you have support. You have support for saying we need organizational change. You have support for saying, let's do proof of concept, let's do these explorations, let's actually have a startup accelerator hub so we as public sector can interact with startups and early-stage founders or university students to make that kind of a difference. When you see that, that's part of why, okay great, we're in Australia now because there's this energy and action and a willingness to move so that's where I think look to those centers of excellence and say, how can we do that within our organization and what can we do better. >> But not saying that we're not seeing quite that energy in the US or how did you think about the differences? >> Again, it depends district by district. Different municipalities have different challenges, different size, et cetera. When you look at this, for example, in San Francisco where you have the Startup in Residence program, started off small, cohort, five or six companies, great, now how can we scale that program and make it national where they had something like 700 applications for maybe a cohort of 50 or 60 companies that are working. That's where you start to see there's an energy that's flowing through, so I think the opportunity for change comes in that kind of cross collaboration and if you have an event like this where you've got public sector folks from all over the world saying, really interesting, you feel my pain, how can we work together on this, what's your team doing, how can I learn from that, how can I take that back to my teams or where can we think about some of the harder problems of organizational change and what do we do if we don't have that executive champion, how can we start to get there? I think that's the kind of energy and opportunity of all the things we're seeing here at Public Sector Summit. >> But as you said, it's also looking for the rest of us, looking at these centers of excellence, see what they're doing, see how they're experimenting, getting those proofs of concept and then saying, hey, we've got something there, let's see if we can replicate this. >> Absolutely, and within public sector, when you have that opportunity to say, and look at how we're doing this in London, look at how we're doing this in Toronto, look at how we're doing this in Sydney and how we're doing this in Melbourne then you can suddenly go back to New York and say, okay great, we do have these other examples, it is being done so we can use that as a guide for what we wanted to do as we continue to innovate. >> What are some of the most exciting things that you're seeing here, some new public sector initiatives, technology, services that you think are really going to be game changers. >> How much time do we have? (laughing) First off, the energy to we want to collaborate, we want to be more agile, we want to make a difference. The sense that this event has grown from just a small cohort to 1,000, couple of thousand, now I believe there's something like 15,000 attendees. >> 18,000 according to Theresa Carlson. >> Think about the fact that we're all willing to be here together, that's a line in the sand that we need to be able to do more, so it's not about a particular technology per se, but willingness to say, we need to be here, we need to face these problems. We've got this challenge of should we bring these legacy systems over, should we think about how we want to work together in public product partnerships that we can all come together and start to work at this and also think about, we've got Public Sector Summits throughout the world, please join us at Canberra Summit that's going to be going on in late August. We've got Tokyo Summit going on right now, so it's not just all here in D.C., you're starting to see these clusters move out and that's really wonderful and exciting for us. >> It's wonderful and exciting on the one hand and yet this summit is taking place against a backdrop where we're seeing a real backlash against technology. The public sentiment has really soured, regulators and lawmakers are sharpening their blades and saying, hey, maybe we should pay attention more to what these technology companies are doing and just how powerful they've become in all of our daily lives. What's the sentiment that you're hearing on the ground, particularly as the founder yourself. >> I think that's where knowledge can be powerful. Can we empathize with some of the challenges? I hope that all companies choose to act with integrity, not necessarily that they do, but there are a lot of folks saying, we need to be able to do more. From a policy perspective, how can tech companies partner with policymakers who may not understand how all of these technologies work and what they're capable of or not capable of, we need more clarity on that because I think that's where it becomes a black box of conflict and if you can change it to say, this is challenges that you have with facial recognition or sentiment analysis or what have you, let's really think about do the systems today do, what are the guard rails that we need to put in and how can we work as partners with policymakers so it's not just driven by lobbyists but there's actually an understanding of, this is the implication of these systems. >> Here are the unintended consequences. >> Absolutely and if I can come back to New York for a second, New York City has one of the strongest open data logs in the nation. Part of that is because Gale Brewer, the Borough President of Manhattan said we need to formalize this. How do we put this together? She didn't come from a tech background, but she saw a problem that needed to be solved and she said, how do we put this together and how do we get the right folks to the table to think about doing this in a really scalable, meaningful way, so the more that we see those opportunities in that backdrop of tensions and concerns, that's how we move forward, facing those hard questions. It's not Rome was built in a day, it's not. It's going to take us a lot of time and there's a lot of unanswered ethical questions as well that we have to start really thinking deeply about. >> But it starts, as you said, with making the data visible and then getting more voices who-- >> Making it visible and also understanding what's not included in the data. Coming back to when I started my company, there was a lot of, but this isn't being counted and what happens when you're saying, I'm making a bias based on this particular dataset that leaves out this whole community over here. Can we think about what's not included in that data or how the data collection itself or the organization itself is changing things, so that's why, coming back to, you need more female founders, you need more underrepresented populations to have those voices of have you considered this, have you given representation to this particular group, to this population. Without doing that, then you're just reinforcing the same siloes and the same biases and we have an obligation to our community and to one another to change that. >> I know you have a keen interest in diversity issues and, as you're talking about, bringing in more women and more underrepresented minorities to lend their perspective to these very important issues that are shaping our lives. How do we solve this problem? Technology has such a bro culture and we're seeing the problems with that. >> First off, from a founder's point of view, you have to know when not to listen, you have to know when not to let someone shut you down because they'll say-- >> The noise. >> Oh my goodness, the noise of, we've got ageism, we've got sexism, we've got racism, we've got elitism. I went to Brooklyn College, I'm very proud of that fact. I had venture capitalists say, I don't want to invest in you, you're too old and you didn't go to a pedigree school, well guess what, my company's still here, some of the folks you've invested in, they folded a long time ago, so part of it is a willingness to drive forward but it's also building networks of support. Coming back to being the community hero, how can I elevate these voices and say, we need to give them an opportunity to be here, we need to change this, so part of it is we want more seats at the table, but if that table's not going to welcome me, I'm creating a whole 'nother table over here where we can start to have that cluster effect and that's where the dedication, the tenacity and you see things like we power tech, where we're really looking to elevate those voices. That change can't happen unless we keep doing that and unless the folks who are like, but this is how we've always done it, are willing to say, actually, shortcoming here, let's think about changing this and broadening the conversation. >> Is that changing though? >> We were talking a lot about how there's a new generation of workers coming up who do think differently and they do grow up with this stuff and they say, we don't need this red tape, why is this taking so long? They're impatient and maybe a more willingness to listen to other voices, are you seeing a difference? >> Absolutely, I'm seeing a difference for sure. That doesn't mean sexism, ageism, elitism has gone away. It has not, but you're starting to see, again, clusters of excellence and I think if you really want to make change you focus on where that traction is, use that as your foothold to build and scale and then start to be able to do more because that's the only way. We've got some barriers that for other founders I empathize with how insurmountable it can be, but if you've got that dedication, if you refuse to be defined by what someone else says you are or what your company is capable of being and then you find those great partners to say, let's do this together, the whole conversation changes. >> Aileen Gemma Smith those are great words to end on. Thank you so much for coming on the Cube. >> Absolute pleasure, thank you. >> I'm Rebecca Knight, we will have much more of the Cube's live coverage of the AWS Public Sector Summit here in Washington D.C. coming up in just a bit. (techno music)

Published Date : Jun 12 2019

SUMMARY :

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Jeff Mathis, Scalyr & Steve Newman, Scalyr | Scalyr Innovation Day 2019


 

from San Mateo its the cube covering scalar innovation day brought to you by scaler but I'm John four with the cube we are here in San Mateo California official innovation day at Skylar's headquarters with Steve Neumann the founder of scalar and Jeff Mathis a software engineer guys thanks for joining me today thanks for having us thanks great to have you here so you guys introduced power queries what is all this about yes so the vision for scalar is to become the platform users trust when they want to observe their systems and power queries is a really important step along that journey power queries provide new insights into data with a powerful and expressive query language that's still easy to use so why is this important so we like to scaler we like to think that we're all about speed and a lot of what we're known for is the kind of the raw performance of the query engine that we've built that's sitting underneath this product which is one measure of speed but really we like to think of speed as the time from a question in someone's head to an answer on their screen and so the whole kind of user journey is part of that and you know kind of traditionally in our product we've we provided a set of basic capabilities for searching and counting and graphing that are kind of very easy for people to access and so you can get in quickly pose your question get an answer without even having to learn a query language and and that's been great but there are sometimes the need goes a little bit beyond that the question that some wants to ask is a little bit more complicated or the data needs a little bit of massaging and it just goes beyond the boundaries what you can do in kind of those basic you know sort of basic set of predefined abilities and so that's where we wanted to take a step forward and you know kind of create this more advanced language for for those more advanced cases you know I love the name power query so they want power and it's got to be fast and good so that aside you know queries been around people know search engines search technology discovery finding stuff but as ai/an comes around and more scales and that the system this seems to be a lot more focus on like inference into intuiting what's happening this has been a big trend what do you what's your opinion on that because this has become a big opportunity using data we've seen you know file companies go public we know who they are and they're out there but there's more data coming I mean it's not like it's stopping anytime soon so what's the what's the innovation that that just gonna take power queries to the next level yes so one of the features that I'm really excited about in the future of power queries is our autocomplete feature we've taken a lot of inspiration from just what your navbar does in the browser so the idea is to have a context-sensitive predictive autocomplete feature that's going to take into account a number of individual the syntactic context of where you are in the query what fields you have available to you what fields you've searched recently those kinds of factors Steve what's your take before we get to the customer impact what's the what's the difference it different what's weird whereas power queries gonna shine today and tomorrow so it's some it was a kind of both an interesting and fun challenge for us to design and build this because you're you know we're trying to you know by definition this is for the you know the more advanced use cases the more you know when you need something more powerful and so a big part of the design question for us is how do we how do we let people you know do more sophisticated things with their logs when the when they have that that use case while still making it some you know kind of preserving that that's speed and ease of use that that we like to think we're known for and and in particular you know they've been you know something where you know step one is go you know read this 300 page reference manual and you know learn this complicated query language you know if that was the approach then you know then we would have failed before we started and we had we have the benefit of a lot of hindsight you know there a lot of different sister e of people manipulating data you know working with these sophisticated different and different kinds of systems so there are you know we have users coming to us who are used to working with other other log management tools we have users or more comfortable than SQL we have users who really you know their focus is just a more conventional programming languages especially because you know one of the constituencies we serve our you know it's a trend nowadays that development engineers are responsible also for keeping their code working well in production so they're not experts in this stuff they're not log management experts they're not you know uh telemetry experts and we want them to be able to come in and kind of casual you know coming casually to this tool and get something done but we had all that context of drawn with these different history of languages that people are used to so we came up with about a dozen use cases that we thought kind of covered the spectrum of you know what would people bring bring people into a scenario like this and we actually game to those out well how would you solve this particular question if we were using an SQL like approach or an approach based on this tool or which based on that tool and so we we did this like big exploration and we were able to boil down boil everything down to about ten fairly simple commands that they're pretty much covered the gamut by comparison you know there are there other solutions that have over a hundred commands and it obviously if it's just a lot to learn there at the other end of the spectrum um SQL really does all this with one command select and it's incredibly powerful but you also really have to be a wizard sometimes to kind of shoehorn that into yeah even though sequels out there people know that but people want it easier ultimately machines are gonna be taking over you get the ten commands you almost couldn't get to the efficiency level simplifying the use cases what's the customer scenario looked like what's that why is design important what's what's in it for the customer yeah absolutely so the user experience was a really important focus for us when designing power queries we knew from the start that if tool took you ten minutes to relearn every time you wanted to use it then the query takes ten minutes to execute it doesn't take seconds to execute so one of the ways we approached this problem was to make sure we're constantly giving the user feedback that starts as soon you load the page you've immediately got access to some of the documentation you need you use the feature if you have type in correct syntax you'll get feedback from the system about how to fix that problem and so really focusing on the user experience was a big part of the yeah people gonna factor in the time it takes to actually do the query write it up if you have to code it up and figure it out that's time lag right there you want be as fast as possible interesting design point radical right absolutely so Steve how does it go fast Jeff how does it go fast what are you guys looking at here what's the magic so let me I'm going to step over to the whiteboard shock board here and we'll so chog in one hand Mike in the other will will evaluate my juggling skills but I wanted to start by showing an example of what one of these queries looks like you know I talked about how we kind of boil everything down to about 10 commands so so let's talk through a simple scenario let's say I'm running a tax site you know people come to our web site and they're you know they're putting their taxes together and they're downloading forms and tax laws are different in every state so I have different code that's running for you know you know people in California versus people in Michigan or whatever and I can you know it's easy to do things like graph the overall performance and error rate for my site but I might have a problem with the code for one specific state and it might not show up in those overall statistics very clearly so I don't know I want to get a sense of how well I'm how I am performing for each of the 50 states so I'm gonna and I'm gonna simplify this a little bit but you know I might have an access log for this system where we'll see entries like you know we're loading the tax form and it's for the state of California and the status code was 200 which means that was successful and then we load the tax form and the state is Texas and again that was a success and then we load the tax form for Michigan and the status was a 502 which is a server error and then you know and millions of these mixing with other kinds of logs from other parts of my system and so I want to pull up a report what percentage of requests are succeeding or failing by state and so let me sketch for it first with the query would look like for that and then I'll talk about how how we execute this at speed so so first of all I have to say what which you know of all my other you know I've drawn just the relevant logs but this is gonna be mixed in with all the other logs for my system I need to say which which logs I care about well maybe as simple as just calling out they all have the this page name in them tax form so that that's the first step of my query I'm searching for tax form and now I want to count these count how many of these there are how many of them succeeded or failed and I want to cluster that by state so I'm gonna clustering is with the group command so I'm gonna say I want to count the total number of requests which is just the count so count is a part of the language total is what I'm choosing to name that and I want to count the errors which is also going to be the count command but now I'm going to give it a condition I want to only count where the status is at least 500 and I rather you can see that but behind the plant is a 500 and I'm gonna group that by state so we're we're counting up how many of these values were above 500 and we're grouping it by this field and what's gonna come out of that is a table that'll say for each state the total number of requests the number of errors oh and sorry I actually left out a couple of steps but so it's but actually let's draw what this would give us so far so it's gonna show me for California maybe I had nine thousand one hundred and fifty two requests thirteen of them were errors for Texas I had and so on but I'm still not really there you know that might show me that California had you know maybe California had thirteen errors and Rodi had 12 errors but only there were only 12 requests for Rhode Island Rhode Island is broke you know I've broken my code for Rhode Island but it's only 12 errors because it's a smaller population so that's you know this analysis is still not quite gonna get me where I need to go so I can now add another command I've done this group now I'm gonna say I'm gonna say let which triggers a calculation let error rate equal errors divided by total and so that's going to give me the fraction and so for California you know that might be 0.01 or whatever but for Rhode Island it's gonna be one 100% of the requests are failing and then I can add another command to sort by the error rate and now my problem states are gonna pop to the top so real easy to use language it's great for the data scientists digging in their practitioners you don't need to be hard core coder to get into this exactly that's the idea you know groups or you know very simple commands that just directly you know kind of match the English description of what you're trying to do so then but you know yeah asked a great question then which is how do we take this whole thing and execute it quickly so I'm gonna erase here you're getting into speed now right so yeah bit like that how you get the speed exactly speed is good so simplicity to use I get that it's now speed becomes the next challenge exactly and the speed feeds into the simplicity also because you know step one for anything any tool like this is learning the tool yeah and that involves a lot of trial and error and if the trial and error involves waiting and then at the end of the wait for a query to run you learn that oh you did the query wrong that's very discouraging to people and so we actually think of speed really then becomes some ease of use but all right so how do we actually do this so you've got you know you'll have your whole mass of log data tax forms other forms internal services database logs that are you got your whole you know maybe terabytes of log data somewhere in there are the the really important stuff the tax form errors as well as all the other tax form logs mixed in with a bigger pile of everything else so step one is to filter from that huge pile of all your logs down to just the tax form logs and for that we were able to leverage our existing query engine and one of the main things that makes that engine there's kind of two things that make that that engine as fast it is as it is it's massively parallel so we we segment the data across hundreds of servers our servers so all this data is already distributed across all these servers and once your databases you guys build your own in-house ok got it exactly so this is on our system so we've already collected we're collecting the logs in real time so by the time the user comes and types in that query we already have the data and it's already spread out across all these service then the you know the first step of that query was just a search for tax form and so that's our existing query engine that's not the new thing we've built for power queries so that existing very highly optimized engine this server scans through these logs this service insula these logs each server does its share and they collectively produce a smaller set of data which is just the tax form logs and that's still distributed by the way so really each server is doing this independently and and is gonna continue locally doing the next step so so we're harnessing the horsepower of all these servers each page I only have to work with a small fraction of the data then the next step was that group command we were counting the requests counting the errors and rolling that up by state so that's the new engine we've built but again it each server can do just its little share so this server is gonna take whichever tax form logs it found and produce a little table of counts in it by state this server is gonna do the same thing so at each produce they're a little grouping table with just their share of the logs and then all of that funnels down to one central server where we do the later steps we do the division divide number of errors by total count and and then sort it but by now you know here we might have you might have trillions of log messages down to millions or billions of messages that are relevant to your query now we here we have 50 records you know just one for each state so suddenly the amount of data is very small and so the you know the later steps may be kind of interesting from a processing perspective but they're easy from a speed perspective so you solve a lot of database challenges by understanding kind of how things flow once you've got everything with the columnar database is there just give up perspective of like what if the alternative would be if we this is like I just drew this to a database and I'm running sequel trillions of log files I mean it's not trivial I mean it's a database problem then it's a user problem kind of combine what's order of magnitude difference if I was gonna do the old way yeah so I mean I mean the truth is there's a hundred old ways know how much pain yes they're healthy you know if you're gonna you know if you try to just throw this all into one you know SQL sir you know MySQL or PostgreSQL bytes of data and and by the way we're glossing over the data has to exist but also has to get into the system so you know in you know when you're checking you know am i letting everyone in Rhode Island down on the night before you know the 15th you need up to the moment information but the date you know your database is not necessarily even if it could hold the data it's not necessarily designed to be pulling that in in real time so you know just sort of a simple approach like let me spin up my SQL and throw all the data in it's it's just not even gonna happen I'm gonna have so now you're sharding the data or you're looking at some you know other database solution or ever in it it's a heavy lift either way it's a lot of extra effort taxing on the developers yeah you guys do the heavy lifting yeah okay what's next where's the scale features come in what do you see this evolving for the customers so you know so Jeff talked about Auto complete which you were really excited about because it's gonna again you know a lot of this is for the casual user you know they're you know they're a power user of you know JavaScript or Java or something you're they're building the code and then they've got to come in and solve the problem and get back to what they think of as their real job and so you know we think autocomplete and the way we're doing it we're we're really leveraging both the context of what you're typing as well as the history of what you and your team have done in queried in the past as well as the content of your data every think of it a little bit like the the browser location bar which somehow you type about two letters and it knows exactly which page you're looking for because it's relying on all those different kinds of cues yeah it seems like that this is foundational heavy-lift you myself minimize all that pain then you get the autocomplete start to get in a much more AI machine learning kicks in more intelligent reasoning you start to get a feel for the data it seems like yeah Steve thanks for sharing that there it is on the whiteboard I'm trying for a year thanks for watching this cube conversation

Published Date : May 30 2019

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Jeff Carlat, HPE, & Carey Stanton, Veeam Software | VeeamON 2019


 

>> Live, from Miami Beach, Florida it's theCUBE covering VeeamON 2019. Brought to you by Veeam. >> Welcome back to Miami everybody, sunny Miami. Dave Vellante here with Peter Burris. You're watching theCUBE, the leader in live tech coverage. We go out to the events, we extract the signal from the noise, and there's a lot of noise here, and there's a lot of signal here. VeeamON 2019, this is theCUBE's third year doing Veeam's big customer show. We started doing NOLA, last year was Chicago, a very hip location here at the Fountainebleau Hotel. Carey Stanton is here. He is the Vice President of business development and corporate dev, corp-dev at Veeam and Jeff Kalat, a CUBE alum, >> Yep, you bet. >> long-time friend of theCUBE, senior director of strategic alliances at Hewlett-Packard Enterprise. Gentlemen, welcome to theCUBE, good to see you. >> Thanks for having us. >> You're very welcome. Carey let me start with you. Uh, I really want to talk about sports with you, but anyway, we won't. We'll hold that off. (laughter) >> (Carey) One day. >> Momentum. You're relatively new to Veeam. But you've been here now a couple years. Where's this momentum coming from, from your perspective, as a recent Veeam entrant. >> Yeah, no, the momentum's coming from across the board, but I think a big momentum is coming from new product innovation that we're doing with Office 365, and we're just driving up subscription business momentum that we have for the pent-up demand that we had for Euphor. But a big part is coming from our relationships like we have with HPE. We invested heavily a few years ago when we announced that joint reseller agreement. What we've done is not just continued to sell but add a plethora of new solutions to it Jeff's going to talk about what we're doing with GreenLake adding SimpliVity, adding the overall solutions that we have. But that's a team that started two years ago with two people that we now have over 20 people just working, dedicated with HPE on co-selling. And I'm happy to say that our business in first half, or I should say year-to-date is up 50% year over year on a global reseller business. >> Well Jeff, theCUBE as you know, has been documenting the ebbs and flows of HP and HPE over the last, better part of a decade. And when HP split in two, to HPE and HP Inc. One of the things that-- And then sold the software business, or a large portion of it. One of the things that went was data protection. >> (Jeff) You got it. >> (Dave) And that just opened up a whole new set of opportunities and Veeam was obviously one of those. And it's starting to pay dividends. >> You got it, yeah, to that point, that evolution through HPE.nex, we were able to focus on our core. And the benefit, the inherit benefit is that we can partner with the best of class in the marketplace. And Veeam is considered best of class. So when it comes to data availability, data protection, we're all in. And we're actually, as a company, we're actually doubling down now in our partnership with Veeam. We've actually taken them from, maybe a traditional storage alliance, and taken them to be one of our top global strategic alliances in the line of the Microsoft's, the Veeam, or as the SAP's. Because we see great momentum, we see great customer adoption and interest and we see great innovation at the product level, but also in the whole global market chain. >> Well talk a little more about that because it was, the move allowed you to form new partnerships that dramatically expanded your TAM but, I'm interested in the nature of the partnership. Is it, just go to market, is there engineering integration? Talk about that a little bit. >> Our first step when we came together and said okay let's take this to the next level, we realized we need to narrow our focus to the core customer values and we really settled on three core areas of this relationship. One is first, data protection for, around our intelligence storage, as you know, our storage portfolio 3 Par, Nimble, we've had a great relationship there, we continue to drive co-innovation at the road map level, but also drive go-to-market activities and marketing and we have feet on the street actively selling. So the first one's really expanding our work with storage. Now we're taking it, we're extending, if you will, through consumption based data management, using, well HPE has GreenLake, Greenlake we see 40% of customers by 2020 are going to be consuming their data center IT more in a consumption model. There are inherent benefits of that. What we now have offered and launched just recently Backup,is a service through our flex capacity coming out of GreenLake, providing customers the choice, if you will, to move from a, not from a capital expenditure, but, by the drink, if you will, consumption base. So that's the second core area. And the third core area is new for us, and that's around our HCI portfolio. As you know, we purchased SimpliVity. Well, SimpliVity has a lot of inherent backup, dedupe compression in line, but there actually are some Zivik use cases that we're deploying out there that show how Simplivity in a Veeam environment can actually, customers can see actually incremental values. So, those are the three key areas we're focused on as we up-level this whole relationship and partnership. >> (Dave) So Carey, please. >> I was just going to say if you think of, we talk a lot about we go after the technical decision maker in all these, hundreds of people here at the conference. And then going towards the executive, the enterprise. And it's through relationships with HPE on this, the flex capacity, being able to go to a customer and offer a true enterprise solution that they're looking for, everyone wants as a service. And so we've closed multiple deals this year thanks to having the Greenlake. So, our relationship with HPE continues to elevate and the enterprise is a result of the solutions that we're doing. Not just selling storage, but selling a complete solution. >> Rathmeyer was kind of tongue-in-cheek this morning at the analyst and media event. He was talking about how in 2013 he predicted that Veeam would be a billion dollar company by 2018. And he said he missed it by six months. One of the reasons was because you know, you got the subscription model. So that's, you know GreenLake obviously is part of that, maybe not the predominant part yet but I think you said you have 40% you're saying will consume, as a service by 2020. >> 2020, actually soon. >> (Dave) Okay so pretty substantial. >> Yeah. >> What's driving that? Is it just CFO's want to go to opex? Or is it-- >> I think it's a, there are many, the value you get without locking yourself into every three years needing to do a total forklift upgrade of your infrastructure, that's one thing. The second thing is moving it from a capital expenditure to an opex expediture. It can be planned, it can be budgeted as well. The third thing is the customer doesn't have to mess with all the technology, updating the firmware, the drivers and all that. We will do it on their behalf, right? We give them the economics of cloud on prem and that's the beauty of that. So we believe, and lock-step in alignment with Veeam, the world is hybrid in the future. So on prem is here to live forever, but increasingly we need to leverage the assets in the cloud and this is providing the ability of doing it in a consumption model. >> And it's not just the economics it's the experience as well. >> Oh totally, if you want to, if you live in a house and you're a home owner, and you want a new bathroom, you put in a bathroom. If you're a renter you end up in a long, laborious negotiation that you're going to lose. And the same kind of notion is here as people realize there's greater strategic opportunities and options from how to use their data differently. They want access to those options. And that's the basis of agility. The opex to capex is good but you've got to put it in business context. It's how you create additional options in your data oriented investments. So, as you guys are moving forward are you starting to have that conversation with customers? And relating data, data value, asset management, Backup, Restore, to this broader picture, this broader strategic union you're putting together? >> Yeah and that is a key imperative of how we get even stronger in traction is telling the bigger picture. And you look at the world of yesterday, where it's just backup and recovery, look at the advent of edge devices and the amount of data that's being put at the edge. Now look at AI and machine learning where, the data is inherently needed to project the changes and the needs that are in the future. So, I think these all tie in to the play and I believe at GreenLake our consumption model can provide great benefits, above and beyond the traditional backup and recovery. >> And I was just going to add to it, is that it also brings in our ecosystems, so the relationship, that tier one relationship we both have within Microsoft. So when you start looking at a solution that the business owner wants, they want to be able to say I need cloud, I need on prem, I need backup recovery, and so by going through GreenLake they can encompass, we have a broader ecosystem that we're able to bring in versus just single thread in these discussions where you're going in and selling a data protection story and leaving but you didn't solve that broader customer problem, and with GreenLake, they are solving that overall problem. >> Yeah, I'd just like to say nothing really happens until you make a sale. You talked about some of the growth earlier. But why Veeam? Obviously you're getting some traction in the market but there's a lot of players out there that you could partner with. And you do partner with others. But why Veeam? What makes Veeam so special? >> I think one, inherently we are lock-step in agreement of the over-arching strategy, we talked about hybrid, we talked about portfolio. Two is we've got the engagement at all levels of our organization, which all stems truly from having a unified roadmap. Innovation has to happen at the roadmap level and you need to be lock-step aligned through the value chain in the way you take it to market, the way you align your sellers, the way you deliver a value proposition that truly is valuable to our customers. It's proven from our IDC research that customers who are deploying and purchasing HPE and Veeam solutions are seeing a 250 plus percent ROI on that investment. So there's this huge customer benefit, and why not go bigger and go bigger and go bigger with them. >> (Dave) Same question to you Carey. So why HPEE, why is HPEE so special as a partner? >> I think HPE first and foremost, being that first partner that came to us to want to go all in, as Jeff was talking about, from day one, and top down. So we're not just working with a department of HPE we have it from Antonio, from Jim Jackson down the stack in the organization. We were aligned from day one. They lead with data protection, it's no longer, it's a a nice to have, it's a requirement in every one of their sales processes. We're their lead partner that they have in data protection. And what we'd been able to do and have that enterprise visibility by them assisting us on our journey. So, from across the board, whether it's through management, through technology, or just in true go-to-market, they're by far our number one partner that we have on our sell-with motion. >> So Jeff, I want to talk to the group about GreenLake. And Carey, I'd love to hear your thoughts on it as well. What are the challenges that go into a consumption-based model for a company that's traditionally sold products. As part of this overall move in all industries, all sectors, from a product to a services orientation. How do introduce metrics that are associated with the service? Because it used to be you just sold a product. And the metrics for storage are different from the metrics from backup, different from the metrics from compute. So as you've gone to GreenLake, because I love GreenLake, what kind of specialized, or specific types of things, how are you selling it to try to tie that service into the business outcomes that your customers are trying to see? >> Well clearly, I believe, some of our first wins, early wins we were able to monitor and metric the value the customers were getting, the service levels they've received and so we have a number of different methods of capturing the data, the empirical data, on the service levels and being able to use that to then, use that in the selling motion to be able to articulate the experience and the expectations that come with that. >> What are some of the harder problems that your customers are asking you to solve? And how are you approaching it together? >> Well I think that what we're talking about with GreenLake here is a real hard problem to solve, right? Consumpton based across geographic regions, across different technologies, on prem, off prem, hybrid. And we don't have another partner that we can go to market with when we hear this from the customer. So when we hear it, we know that we can lean in. And we truly are, to follow up from your question, is the fact is that HPEE is solving all this and then bringing us in as their number one partner, is the differentiator that we love. So solving those problems at an enterprise level, and at a commercial level and doing it with one partner is easy, right? We're shortening the sales cycle, increasing the value to the customer. >> Yeah, one thing I have to say and it's always, complexity is always a problem and an issue, right? So it will always be a problem and an issue and we will always be striving to improve and improve the complexity. But you know, Veeam, we're super simple, right? And we, especially when you look in our HCI portfolio and that's all about driving simplicity, if you will, in a way you can deploy IT, you can scale it. So I think complexity is, and will always be a problem. But it's a given too and it will always be there. And we will always be striving to make it even easier and easier for our joint customers. >> Well one of the challenges that you face, especially as you go to a sevices-only model, is how do you put a price on the outcomes that you're delivering as opposed to the price on the assets that the person is taking? So I think one of the biggest challenges, and it sounds like you guys are pretty close to getting this together, but it's part of a broader portfolio, is where does this, let's put it slightly differently. We've talked about this before in some of the other interviews. backup is moved from a have to have it, for maybe compliance or it just makes good sense to have it, to a strategic business capability for a company that's increasingly differentiating itself on it's data assets. That moves this conversation about, as a service, into a different group and a different, different level. And that's what I'm wondering. Those metrics have got to be a big part of the conversation. Because the entire organization is now recognizing backup is more than just a bolt-on. >> Yeah. One example, one of our close partners, we're here with them, Island. So, disaster recovery as a service, right? They standardize on Nimble and Veeam and together, that combination to them was good enough to build their business on. So there's inherent value and we expect to continue to grow and be able to expose that value. 'Cause we believe more and more customers, not just your pure enterprises but, from your mid-market all the way up, can be able to utilize and see that value and experience it. >> Just a point of clarification if I could on the HCI piece. Specifically around SimpliVity. So SimpliVity was known for it's backup use cases. >> (Jeff) Sure. Still is. >> So where does Veeam and SimpliVity fit, versus Simplivity solo. >> Yeah, yeah. Well first and foremost yes, Simplivity has inherent, great data availability features, inherent in it. That's core to it. But in reality, for customers, let's say a mixed environment, whether it be virtualized, non-vitrualized, there are inherent benefits to having Veeam in addition to SimpliVity. Another example would be customers who want to really have the access to be able to do specific file restores. So we see capabilities in running Veeam in parallel with SimpliVity. Actually I see a lot of customers that are deploying SimpliVity are also deploying Veeam and there, it's an additive value that they're seeing. And they're able to parse out features and functionality and be able to increase their level of value that couldn't be done, just purely from a Simplivity standpoint alone. >> All right Carey, we'll give you the final word. >> The final word is-- >> Bumper sticker on VeeamON. >> (laughing) >> Bumper stickers. >> I would say that, what we're doing here with HPEE, we would say we're in the first inning. What we're seeing on the innovations that we have coming out later this year with HPEE, coming into next year, and we're just thrilled to be having them a platinum sponsor of VeeamON and look forward to another successful year. >> Awesome. Guys thanks so much for coming on. I got to ask you, Boston-based person, Bruins fan? >> (Carey) Bruins, yes. >> You worried about Tuulka, at all, a 12 day layoff? >> (Carey) Nope. >> No problem. >> (Carey) Nope, Chara's going to be nice and rested and-- >> (Dave) Chara, more Chara or less Chara? >> I'm going to, yes well. I got to take more thanks. >> Okay, all right, good. We'll see, we'll see. Go Bruins. All right guys thanks so much for coming out and thank you for watching. Keep it right there we'll be back with our next guest shortly right after this break. You're watching theCUBE from VeeamON, 2019 from Miami. Be right back.

Published Date : May 21 2019

SUMMARY :

Brought to you by Veeam. He is the Vice President of business development and long-time friend of theCUBE, but anyway, we won't. You're relatively new to Veeam. And I'm happy to say that our business in first half, One of the things that-- And it's starting to pay dividends. And the benefit, the inherit benefit the move allowed you to form new partnerships the choice, if you will, to move from a, the flex capacity, being able to go to a customer One of the reasons was because you know, and that's the beauty of that. And it's not just the economics And that's the basis of agility. the data is inherently needed to project so the relationship, that tier one relationship And you do partner with others. the way you align your sellers, (Dave) Same question to you Carey. being that first partner that came to us And the metrics for storage are different from on the service levels and being able to use that is the differentiator that we love. and improve the complexity. Well one of the challenges that you face, So there's inherent value and we expect to Just a point of clarification if I could on the HCI piece. So where does Veeam and SimpliVity fit, really have the access to be able to do to another successful year. I got to ask you, Boston-based person, Bruins fan? I got to take more thanks. and thank you for watching.

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