Manish Singh, Dell Technologies & Doug Wolff, Dell Technologies | MWC Barcelona 2023
>> Announcer: theCUBE's live coverage is made possible by funding from Dell Technologies, creating technologies that drive human progress. (upbeat music) >> Welcome to the Fira in Barcelona, everybody. This is theCUBE's coverage of MWC 23, day one of that coverage. We have four days of wall-to-wall action going on, the place is going crazy. I'm here with Dave Nicholson, Lisa Martin is also in the house. Today's ecosystem day, and we're really excited to have Manish Singh who's the CTO of the Telecom Systems Business unit at Dell Technologies. He's joined by Doug Wolf who's the head of strategy for the Telecom Systems Business unit at Dell. Gents, welcome. What a show. I mean really the first major MWC or used to be Mobile World Congress since you guys have launched your telecom business, you kind of did that sort of in the Covid transition, but really exciting, obviously a huge, huge venue to match the huge market. So Manish, how did you guys get into this? What did you see? What was the overall thinking to get Dell into this business? >> Manish: Yeah, well, I mean just to start with you know, if you look at the telecom ecosystem today, the service providers in particular, they are looking for network transformation, driving more disaggregation into their network so that they can get better utilization of the infrastructure, but then also get more agility, more cloud native characteristics onto their, for their networks in particular. And then further on, it's important for them to really start to accelerate the pace of innovation on the networks itself, to start more supply chain diversity, that's one of the challenges that they've been having. And so there've been all these market forces that have been really getting these service providers to really start to transform the way they have built the infrastructure in the past, which was legacy monolithic architectures to more cloud native disaggregated. And from a Dell perspective, you know, that really gives us the permission to play, to really, given all the expertise on the work we have done in the IT with all the IT transformations to leverage all that expertise and bring that to the service providers and really help them in accelerating their network transformation. So that's where the journey started. We've been obviously ever since then working on expanding the product portfolio on our compute platforms to bring Teleco great compute platforms with more capabilities than we can talk about that. But then working with partners and building the ecosystem to again create this disaggregated and open ecosystem that will be more cloud native and really meet the objective that the service providers are after. >> Dave Vellante: Great, thank you. So, Doug the strategy obviously is to attack this market, as Manish said, from an open standpoint, that's sort of new territory. It's like a little bit like the wild, wild west. So maybe you could double click on what Manish was saying from a, from a strategy standpoint, yes, the Telecos need to be more flexible, they need to be more open, but they also need this reliability piece. So talk about that from a strategy standpoint of what you guys saw. >> Doug: Yeah, absolutely. As Manish mentioned, you know, Dell getting into open systems isn't something new. You know, Dell has been kind of playing in that world for years and years, but the opportunity in Telecom that came was opening of the RAN, the core network, the edge, all of these with 5G really created a wide opening for us. So we started developing products and solutions, you know, built our first Telecom grade servers for open RAN over the last year, we'll talk about those at the show. But you know, as, as Manish mentioned, an open ecosystem is new to Telecom. I've been in the Telecom business along with Manish for, you know, 25 plus years and this is a new thing that they're embarking on. So started with virtualization about five, six years ago, and now moving to cloud native architectures on the core, suddenly there's this need to have multiple parties partner really well, share specifications, and put that together for an operator to consume. And I think that's just the start of really where all the challenges are and the opportunities that we see. >> Where are we in this transition cycle? When the average consumer hears 5G, feels like it's been around for a long time because it was hyped beforehand. >> Doug: Yeah. >> If you're talking about moving to an open infrastructure model from a proprietary closed model, when is the opportunity for Dell to become part of that? Is it, are there specific sites that have already transitioned to 5G, therefore they've either made the decision to be open or not? Or are there places where the 5G transition has taken place, and they might then make a transition to open brand with 5G? Where, where are we in that cycle? What does the opportunity look like? >> I'll kind of take it from the typology of the operator, and I'm sure Manish will build on this, but if I look back on the core, started to get virtualized you know, back around 2015-16 with some of the lead operators like AT&T et cetera. So Dell has been partnering with those operators for some years. So it really, it's happening on the core, but it's moving with 5G to more of a cloud-like architecture, number one. And number two, they're going beyond just virtualizing the network. You know, they previously had used OpenStack and most of them are migrating to more of a cloud native architecture that Manish mentioned. And that is a bit different in terms of there's more software vendors in that ecosystem because the software is disaggregated also. So Dell's been playing in the core for a number of years, but we brought out new solutions we've announced at the show for the core. And the parts that are really starting that transition of maybe where the core was back in 2015 is on the RAN and on the edge in particular. >> Because NFV kind of predated the ascendancy of cloud. >> Exactly, yeah. >> Right, so it really didn't have the impact that people had hoped. And there's some, when you look back, 'cause it's not same wine, new bottle as the open systems movement, there are a lot of similarities but you know, you mentioned cloud, and cloud native, you really didn't have, back in the nineties, true engineered systems. You didn't really have AI that, you know, to speak of at the sort of volume of the data that we have. So Manish, from a CTO's perspective, how are you attacking some of those differences in bringing that to market? >> Manish: Yeah, I mean, I think you touched on some very important points there. So first of all, the duck's point, a lot of this transformation started in the core, right? And as the technology evolution progress, the opportunities opened up. It has now come into the edge and the radio access network as well, in particular with open RAN. And so when we talk about the disaggregation of the infrastructure from the software itself and an open ecosystem, this now starts to create the opportunity to accelerate innovation. And I really want to pick up on the point that you'd said on AI, for example. AI and machine learning bring a whole new set of capabilities and opportunities for these service providers to drive better optimization, better performance, better sustainability and energy efficiency on their infrastructure, on and on and on. But to really tap into these technologies, they really need to open that up to third parties implementation solutions that are coming up. And again, the end objective remains to accelerate that innovation. Now that said, all these things need to be brought together, right? And delivered and deployed in the network without any degradation in the KPIs and actually improving the performance on different vectors, right? So this is what the current state of play is. And with this aggregation I'm definitely a believer that all these new technologies, including AI, machine learning, and there's a whole area, host area of problems that can be solved and attacked and are actually getting attacked by applying AI and machine learning onto these networks. >> Open obviously is good. Nobody's ever going to, you know, argue that open is a bad thing. It's like democracy is a good thing, right? At least amongst us. And so, but, the RAN, the open RAN, has to be as reliable and performant, right, as these, closed networks. Or maybe not, maybe it doesn't have to be identical. Just has to be close enough in order for that tipping point to occur. Is that a fair summarization? What are you guys hearing from carriers in terms of their willingness to sort of put their toe in the water and, and what could we expect in terms of the maturity model of, of open RAN and adoption? >> Right, so I mean I think on, on performance that, that's a tough one. I think the operators will demand performance and you've seen experiments, you've really seen more of the Greenfield operators kind of launch. >> Okay. >> Doug: Open RAN or vRAN type solutions. >> So they're going to disrupt. >> Doug: Yeah, they're going to disrupt. >> Yeah. >> Doug: And there's flexibility in an open RAN architecture also for 5G that they, that they're interested in and I think the Brownfield operators are too, but let's say maybe the Greenfield jump first in terms of doing that from a mass deployment perspective. But I still think that it's going to be critical to meet very similar SLAs and end user performance. And, you know, I think that's where, you know, maturity of that model is what's required. I think Brownfield operators are conservative in terms of, you know, going with something they know, but the opportunities and the benefits of that architecture and building new flexible, potentially cost advantaged over time solutions, that's what the, where the real interest is going forward. >> And new services that you can introduce much more quickly. You know, the interesting thing about Dell to me, you don't compete with the carriers, the public cloud vendors though, the carriers are concerned about them sort of doing an end run on them. So you provide a potential partnership for the carriers that's non-threatening, right? 'Cause you're, you're an arms dealer, you're selling hardware and software, right? But, but how do you see that? Because we heard in the keynote today, one of the Teleco, I think it was the chairman of Telefonica said, you know, cloud guys can't do this alone. You know, they need, you know, this massive, you know, build out. And so, what do you think about that in terms of your relationship with the carriers not being threatening? I mean versus say potentially the cloud guys, who are also your partners, I understand, it's a really interesting dynamic, isn't it? >> Manish: Yeah, I mean I think, you know, I mean, the way I look at it, the carriers actually need someone like Dell who really come in who can bring in the right capabilities, the right infrastructure, but also bring in the ecosystem together and deliver a performance solution that they can deploy and that they can trust, number one. Number two, to your point on cloud, I mean, from a Dell perspective, you know, we announced our Dell Telecom Multicloud Foundation and as part of that last year in September, we announced what we call is the Dell Telecom Infrastructure Blocks. The first one we announced with Wind River, and this is, think of it as the, you know, hardware and the cashier all pre-integrated with lot of automation around it, factory integrated, you know, delivered to customers in an integrated model with all the licenses, everything. And so it starts to solve the day zero, day one, day two integration deployment and then lifecycle management for them. So to broaden the discussion, our view is it's a multicloud world, the future is multicloud where you can have different clouds which can be optimized for different workloads. So for example, while our work with Wind River initially was very focused on virtualization of the radio access network, we just announced our infrastructure block with Red Hat, which is very much targeted and optimized for core network and edge, right? So, you know, there are different workflows which will require different capabilities also. And so, you know, again, we are bringing those things to these service providers to again, bring those cloud characteristics and cloud native architecture for their network. >> And It's going to be hybrid, to your point. >> David N.: And you, just hit on something, you said cloud characteristics. >> Yeah. >> If you look at this through the lens of kind of the general world of IT, sometimes when people hear the word cloud, they immediately leap to the idea that it's a hyperscale cloud provider. In this scenario we're talking about radio towers that have intelligence living on them and physically at the base. And so the cloud characteristics that you're delivering might be living physically in these remote locations all over the place, is that correct? >> Yeah, I mean that, that's true. That will definitely happen over time. But I think, I think we've seen the hyperscalers enter, you know, public cloud providers, enter at the edge and they're dabbling maybe with private, but I think the public RAN is another further challenge. I think that maybe a little bit down the road for them. So I think that is a different characteristic that you're talking about managing the macro RAN environment. >> Manish: If I may just add one more perspective of this cloud, and I mean, again, the hyperscale cloud, right? I mean that world's been great when you can centralize a lot of compute capability and you can then start to, you know, do workload aggregation and use the infrastructure more efficient. When it comes to Telecom, it is inherently it distributed architecture where you have access, you talked about radio access, your port, and it is inherently distributed because it has to provide the coverage and capacity. And so, you know, it does require different kind of capabilities when you're going out and about, and this is where I was talking about things like, you know, we just talked, we just have been working on our bare metal orchestration, right? This is what we are bringing is a capability where you can actually have distributed infrastructure, you can deploy, you can actually manage, do lifecycle management, in a distributed multicloud form. So it does require, you know, different set of capabilities that need to be enabled. >> Some, when talking about cloud, would argue that it's always been information technology, it always will be information technology, and especially as what we might refer to as public cloud or hyperscale cloud providers, are delivering things essentially on premises. It's like, well, is that cloud? Because it feels like some of those players are going to be delivering physical infrastructure outside of their own data centers in order to address this. It seems the nature, the nature of the beast is that some of these things need to be distributed. So it seems perfectly situated for Dell. That's why you guys are both at Dell now and not working for other Telecom places, right? >> Exactly. Exactly, yes. >> It's definitely an exciting space. It's transformed, the networks are under transformation and I do think that Dell's very well positioned to, to really help the customers, the service providers in accelerating their transformation journey with an open ecosystem. >> Dave V.: You've got the brand, and the breadth, and the resources to actually attract an ecosystem. But I wonder if you could sort of take us through your strategy of ecosystem, the challenges that you've seen in developing that ecosystem and what the vision is that ultimately, what's the outcome going to be of that open ecosystem? >> Yeah, I can start. So maybe just to give you the big picture, right? I mean the big picture, is disaggregation with performance, right, TCO models to the service providers, right? And it starts at the infrastructure layer, builds on bringing these cloud capabilities, the cast layer, right? Bringing the right accelerators. All of this requires to pull the ecosystem. So give you an example on the infrastructure in a Teleco grade servers like XR8000 with Sapphire, the new intel processors that we've just announced, and an extended array of servers. These are Teleco grade, short depth, et cetera. You know, the Teleco great characteristic. Working with the partners like Marvel for bringing in the accelerators in there, that's important to again, drive the performance and optimize for the TCO. Working then with partners like Wind River, Red Hat, et cetera, to bring in the cast capabilities so you can start to see how this ecosystem starts to build up. And then very recently we announced our private 5G solution with AirSpan and Expeto on the core site. So bringing those workloads together. Similarly, we have an open RAN solution we announce with Fujitsu. So it's, it's open, it's disaggregated, but bringing all these together. And one of the last things I would say is, you know, to make all this happen and make all of these, we've also been putting together our OTEL, our open Telecom ecosystem lab, which is very much geared, really gives this open ecosystem a playground where they can come in and do all that heavy lifting, which is anyways required, to do the integration, optimization, and board. So put all these capabilities in place, but the end goal, the end vision again, is that cloud native disaggregated infrastructure that starts to innovate at the speed of software and scales at the speed of cloud. >> And this is different than the nineties. You didn't have something like OTEL back then, you know, you didn't have the developer ecosystem that you have today because on top of everything that you just said, Manish, are new workloads and new applications that are going to be developed. Doug, anything you'd add to what Manish said? >> Doug: Yeah, I mean, as Manish said, I think adding to the infrastructure layers, which are, you know, critical for us to, to help integrate, right? Because we kind of took a vertical Teleco stack and we've disaggregated it, and it's gotten a little bit more complex. So our Solutions Dell Technology infrastructure block, and our lab infrastructure with OTEL, helps put those pieces together. But without the software players in this, you know, that's what we really do, I think in OTEL. And that's just starting to grow. So integrating with those software providers with that integration is something that the operators need. So we fill a gap there in terms of either providing engineered solutions so they can readily build on or actually bringing in that software provider. And I think that's what you're going to see more from us going forward is just extending that ecosystem even further. More software players effectively. >> In thinking about O-RAN, are they, is it possible to have the low latency, the high performance, the reliability capabilities that carriers are used to and the flexibility? Or can you sort of prioritize one over the other from a go to market and rollout standpoint and optimize one, maybe get a foothold in the market? How do you see that balance? >> Manish: Oh the answer is absolutely yes you can have both We are on that journey, we are on that journey. This is where all these things I was talking about in terms of the right kind of accelerators, right kind of capabilities on the infrastructure, obviously retargeting the software, there are certain changes, et cetera that need to be done on the software itself to make it more cloud native. And then building all the surrounding capabilities around the CICD pipeline and all where it's not just day zero or day one that you're doing the cloud-like lifecycle management of this infrastructure. But the answer to your point, yes, absolutely. It's possible, the technology is there, and the ecosystem is coming together, and that's the direction. Now, are there challenges? Absolutely there are challenges, but directionally that's the direction the industry is moving to. >> Dave V.: I guess my question, Manish, is do they have to go in lockstep? Because I would argue that the public cloud when it first came out wasn't nearly as functional as what I could get from my own data center in terms of recovery, you know, backup and recovery is a perfect example and it took, you know, a decade plus to get there. But it was the flexibility, and the openness, and the developer affinity, the programmability, that attracted people. Do you see O-RAN following a similar path? Or does it, my question is does it have to have that carrier class reliability today? >> David N.: Everything on day one, does it have to have everything on day one? >> Yeah, I mean, I would say, you know, like again, the Greenfield operators I think we're, we're willing do a little bit more experimentation. I think the operators, Brownfield operators that have existing, you know, deployments, they're going to want to be closer. But I think there's room for innovation here. And clearly, you know, Manish came from, from Meta and we're, we've been very involved with TIP, we're very involved with the O-RAN alliance, and as Manish mentioned, with all those accelerators that we're working with on our infrastructure, that is a space that we're trying to help move the ball forward. So I think you're seeing deployments from mainstream operators, but it's maybe not in, you know, downtown New York deployment, they're more rural deployments. I think that's getting at, you know, kind of your question is there's maybe a little bit more flexibility there, they get to experiment with the technology and the flexibility and then I think it will start to evolve >> Dave V.: And that's where the disruption's going to come from, I think. >> David N.: Well, where was the first place you could get reliable 4K streaming of video content? It wasn't ABC, CBS, NBC. It was YouTube. >> Right. >> So is it possible that when you say Greenfield, are a lot of those going to be what we refer to as private 5G networks where someone may set up a private 5G network that has more functions and capabilities than the public network? >> That's exactly where I was going is that, you know, that that's why you're seeing us getting very active in 5G solutions that Manish mentioned with, you know, Expeto and AirSpan. There's more of those that we haven't publicly announced. So I think you'll be seeing more announcements from us, but that is really, you know, a new opportunity. And there's spectrum there also, right? I mean, there's public and private spectrum. We plan to work directly with the operators and do it in their spectrum when needed. But we also have solutions that will do it, you know, on non-public spectrum. >> So let's close out, oh go ahead. You you have something to add there? >> I'm just going to add one more point to Doug's point, right? Is if you look on the private 5G and the end customer, it's the enterprise, right? And they're, they're not a service provider. They're not a carrier. They're more used to deploying, you know, enterprise infrastructure, maintaining, managing that. So, you know, private 5G, especially with this open ecosystem and with all the open run capabilities, it naturally tends to, you know, blend itself very well to meet those requirements that the enterprise would have. >> And people should not think of private 5G as a sort of a replacement for wifi, right? It's to to deal with those, you know, intense situations that can afford the additional cost, but absolutely require the reliability and the performance and, you know, never go down type of scenario. Is that right? >> Doug: And low latencies usually, the primary characteristics, you know, for things like Industry 4.0 manufacturing requirements, those are tough SLAs. They're just, they're different than the operator SLAs for coverage and, you know, cell performance. They're now, you know, Five9 type characteristics, but on a manufacturing floor. >> That's why we don't use wifi on theCUBE to broadcast, we need a hard line. >> Yeah, but why wouldn't it replace wifi over time? I mean, you know, I still have a home phone number that's hardwired to align, but it goes to a voicemail. We don't even have handset anymore for it, yeah. >> I think, well, unless the cost can come down, but I think that wifi is flexible, it's cheap. It's, it's kind of perfect for that. >> Manish: And it's good technology. >> Dave V.: And it works great. >> David N.: For now, for now. >> Dave V.: But you wouldn't want it in those situations, and you're arguing that maybe. >> I'm saying eventually, what, put a sim in a device, I don't know, you know, but why not? >> Yeah, I mean, you know, and Dell offers, you know, from our laptop, you know, our client side, we do offer wifi, we do offer 4G and 5G solutions. And I think those, you know, it's a volume and scale issue, I think for the cost structure you're talking about. >> Manish: Come to our booth and see the connected laptop. >> Dave V.: Well let's, let's close on that. Why don't you guys talk a little bit about what you're going on at the show, I did go by the booth, you got a whole big lineup of servers. You got some, you know, cool devices going on. So give us the rundown and you know, let's end with the takeaways here. >> The simple rundown, a broad range of new powered servers, broad range addressing core, edge, RAN, optimized for those with all the different kind of acceleration capabilities. You can see that, you can see infrastructure blocks. These are with Wind River, with Red Hat. You can see OTEL, the open telecom ecosystem lab where all that playground, the integration, the real work, the real sausage makings happening. And then you will see some interesting solutions in terms of co-creation that we are doing, right? So you, you will see all of that and not to forget the connected laptops. >> Dave V.: Yeah, yeah, cool. >> Doug: Yeah and, we mentioned it before, but just to add on, I think, you know, for private 5G, you know, we've announced a few offers here at the show with partners. So with Expeto and AirSpan in particular, and I think, you know, I just want to emphasize the partnerships that we're doing. You know, we're doing some, you know, fundamental integration on infrastructure, bare metal and different options for the operators to get engineered systems. But building on that ecosystem is really, the move to cloud native is where Dell is trying to get in front of. And we're offering solutions and a much larger ecosystem to go after it. >> Dave V.: Great. Manish and Doug, thanks for coming on the program. It was great to have you, awesome discussion. >> Thank you for having us. >> Thanks for having us. >> All right, Dave Vellante for Dave Nicholson and Lisa Martin. We're seeing the disaggregation of the Teleco network into open ecosystems with integration from companies like Dell and others. Keep it right there for theCUBE's coverage of MWC 23. We'll be right back. (upbeat tech music)
SUMMARY :
that drive human progress. I mean really the first just to start with you know, of what you guys saw. for open RAN over the last year, When the average consumer hears 5G, and on the edge in particular. the ascendancy of cloud. in bringing that to market? So first of all, the duck's point, And so, but, the RAN, the open RAN, the Greenfield operators but the opportunities and the And new services that you and this is, think of it as the, you know, And It's going to be you said cloud characteristics. and physically at the base. you know, public cloud providers, So it does require, you know, the nature of the beast Exactly, yes. the service providers in and the resources to actually So maybe just to give you ecosystem that you have today something that the operators need. But the answer to your and it took, you know, a does it have to have that have existing, you know, deployments, going to come from, I think. you could get reliable 4K but that is really, you You you have something to add there? that the enterprise would have. It's to to deal with those, you know, the primary characteristics, you know, we need a hard line. I mean, you know, I still the cost can come down, Dave V.: But you wouldn't And I think those, you know, and see the connected laptop. So give us the rundown and you know, and not to forget the connected laptops. the move to cloud native is where Dell coming on the program. of the Teleco network
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Breaking Analysis: Grading our 2022 Enterprise Technology Predictions
>>From the Cube Studios in Palo Alto in Boston, bringing you data-driven insights from the cube and E T R. This is breaking analysis with Dave Valante. >>Making technology predictions in 2022 was tricky business, especially if you were projecting the performance of markets or identifying I P O prospects and making binary forecast on data AI and the macro spending climate and other related topics in enterprise tech 2022, of course was characterized by a seesaw economy where central banks were restructuring their balance sheets. The war on Ukraine fueled inflation supply chains were a mess. And the unintended consequences of of forced march to digital and the acceleration still being sorted out. Hello and welcome to this week's weekly on Cube Insights powered by E T R. In this breaking analysis, we continue our annual tradition of transparently grading last year's enterprise tech predictions. And you may or may not agree with our self grading system, but look, we're gonna give you the data and you can draw your own conclusions and tell you what, tell us what you think. >>All right, let's get right to it. So our first prediction was tech spending increases by 8% in 2022. And as we exited 2021 CIOs, they were optimistic about their digital transformation plans. You know, they rushed to make changes to their business and were eager to sharpen their focus and continue to iterate on their digital business models and plug the holes that they, the, in the learnings that they had. And so we predicted that 8% rise in enterprise tech spending, which looked pretty good until Ukraine and the Fed decided that, you know, had to rush and make up for lost time. We kind of nailed the momentum in the energy sector, but we can't give ourselves too much credit for that layup. And as of October, Gartner had it spending growing at just over 5%. I think it was 5.1%. So we're gonna take a C plus on this one and, and move on. >>Our next prediction was basically kind of a slow ground ball. The second base, if I have to be honest, but we felt it was important to highlight that security would remain front and center as the number one priority for organizations in 2022. As is our tradition, you know, we try to up the degree of difficulty by specifically identifying companies that are gonna benefit from these trends. So we highlighted some possible I P O candidates, which of course didn't pan out. S NQ was on our radar. The company had just had to do another raise and they recently took a valuation hit and it was a down round. They raised 196 million. So good chunk of cash, but, but not the i p O that we had predicted Aqua Securities focus on containers and cloud native. That was a trendy call and we thought maybe an M SS P or multiple managed security service providers like Arctic Wolf would I p o, but no way that was happening in the crummy market. >>Nonetheless, we think these types of companies, they're still faring well as the talent shortage in security remains really acute, particularly in the sort of mid-size and small businesses that often don't have a sock Lacework laid off 20% of its workforce in 2022. And CO C e o Dave Hatfield left the company. So that I p o didn't, didn't happen. It was probably too early for Lacework. Anyway, meanwhile you got Netscope, which we've cited as strong in the E T R data as particularly in the emerging technology survey. And then, you know, I lumia holding its own, you know, we never liked that 7 billion price tag that Okta paid for auth zero, but we loved the TAM expansion strategy to target developers beyond sort of Okta's enterprise strength. But we gotta take some points off of the failure thus far of, of Okta to really nail the integration and the go to market model with azero and build, you know, bring that into the, the, the core Okta. >>So the focus on endpoint security that was a winner in 2022 is CrowdStrike led that charge with others holding their own, not the least of which was Palo Alto Networks as it continued to expand beyond its core network security and firewall business, you know, through acquisition. So overall we're gonna give ourselves an A minus for this relatively easy call, but again, we had some specifics associated with it to make it a little tougher. And of course we're watching ve very closely this this coming year in 2023. The vendor consolidation trend. You know, according to a recent Palo Alto network survey with 1300 SecOps pros on average organizations have more than 30 tools to manage security tools. So this is a logical way to optimize cost consolidating vendors and consolidating redundant vendors. The E T R data shows that's clearly a trend that's on the upswing. >>Now moving on, a big theme of 2020 and 2021 of course was remote work and hybrid work and new ways to work and return to work. So we predicted in 2022 that hybrid work models would become the dominant protocol, which clearly is the case. We predicted that about 33% of the workforce would come back to the office in 2022 in September. The E T R data showed that figure was at 29%, but organizations expected that 32% would be in the office, you know, pretty much full-time by year end. That hasn't quite happened, but we were pretty close with the projection, so we're gonna take an A minus on this one. Now, supply chain disruption was another big theme that we felt would carry through 2022. And sure that sounds like another easy one, but as is our tradition, again we try to put some binary metrics around our predictions to put some meat in the bone, so to speak, and and allow us than you to say, okay, did it come true or not? >>So we had some data that we presented last year and supply chain issues impacting hardware spend. We said at the time, you can see this on the left hand side of this chart, the PC laptop demand would remain above pre covid levels, which would reverse a decade of year on year declines, which I think started in around 2011, 2012. Now, while demand is down this year pretty substantially relative to 2021, I D C has worldwide unit shipments for PCs at just over 300 million for 22. If you go back to 2019 and you're looking at around let's say 260 million units shipped globally, you know, roughly, so, you know, pretty good call there. Definitely much higher than pre covid levels. But so what you might be asking why the B, well, we projected that 30% of customers would replace security appliances with cloud-based services and that more than a third would replace their internal data center server and storage hardware with cloud services like 30 and 40% respectively. >>And we don't have explicit survey data on exactly these metrics, but anecdotally we see this happening in earnest. And we do have some data that we're showing here on cloud adoption from ET R'S October survey where the midpoint of workloads running in the cloud is around 34% and forecast, as you can see, to grow steadily over the next three years. So this, well look, this is not, we understand it's not a one-to-one correlation with our prediction, but it's a pretty good bet that we were right, but we gotta take some points off, we think for the lack of unequivocal proof. Cause again, we always strive to make our predictions in ways that can be measured as accurate or not. Is it binary? Did it happen, did it not? Kind of like an O K R and you know, we strive to provide data as proof and in this case it's a bit fuzzy. >>We have to admit that although we're pretty comfortable that the prediction was accurate. And look, when you make an hard forecast, sometimes you gotta pay the price. All right, next, we said in 2022 that the big four cloud players would generate 167 billion in IS and PaaS revenue combining for 38% market growth. And our current forecasts are shown here with a comparison to our January, 2022 figures. So coming into this year now where we are today, so currently we expect 162 billion in total revenue and a 33% growth rate. Still very healthy, but not on our mark. So we think a w s is gonna miss our predictions by about a billion dollars, not, you know, not bad for an 80 billion company. So they're not gonna hit that expectation though of getting really close to a hundred billion run rate. We thought they'd exit the year, you know, closer to, you know, 25 billion a quarter and we don't think they're gonna get there. >>Look, we pretty much nailed Azure even though our prediction W was was correct about g Google Cloud platform surpassing Alibaba, Alibaba, we way overestimated the performance of both of those companies. So we're gonna give ourselves a C plus here and we think, yeah, you might think it's a little bit harsh, we could argue for a B minus to the professor, but the misses on GCP and Alibaba we think warrant a a self penalty on this one. All right, let's move on to our prediction about Supercloud. We said it becomes a thing in 2022 and we think by many accounts it has, despite the naysayers, we're seeing clear evidence that the concept of a layer of value add that sits above and across clouds is taking shape. And on this slide we showed just some of the pickup in the industry. I mean one of the most interesting is CloudFlare, the biggest supercloud antagonist. >>Charles Fitzgerald even predicted that no vendor would ever use the term in their marketing. And that would be proof if that happened that Supercloud was a thing and he said it would never happen. Well CloudFlare has, and they launched their version of Supercloud at their developer week. Chris Miller of the register put out a Supercloud block diagram, something else that Charles Fitzgerald was, it was was pushing us for, which is rightly so, it was a good call on his part. And Chris Miller actually came up with one that's pretty good at David Linthicum also has produced a a a A block diagram, kind of similar, David uses the term metacloud and he uses the term supercloud kind of interchangeably to describe that trend. And so we we're aligned on that front. Brian Gracely has covered the concept on the popular cloud podcast. Berkeley launched the Sky computing initiative. >>You read through that white paper and many of the concepts highlighted in the Supercloud 3.0 community developed definition align with that. Walmart launched a platform with many of the supercloud salient attributes. So did Goldman Sachs, so did Capital One, so did nasdaq. So you know, sorry you can hate the term, but very clearly the evidence is gathering for the super cloud storm. We're gonna take an a plus on this one. Sorry, haters. Alright, let's talk about data mesh in our 21 predictions posts. We said that in the 2020s, 75% of large organizations are gonna re-architect their big data platforms. So kind of a decade long prediction. We don't like to do that always, but sometimes it's warranted. And because it was a longer term prediction, we, at the time in, in coming into 22 when we were evaluating our 21 predictions, we took a grade of incomplete because the sort of decade long or majority of the decade better part of the decade prediction. >>So last year, earlier this year, we said our number seven prediction was data mesh gains momentum in 22. But it's largely confined and narrow data problems with limited scope as you can see here with some of the key bullets. So there's a lot of discussion in the data community about data mesh and while there are an increasing number of examples, JP Morgan Chase, Intuit, H S P C, HelloFresh, and others that are completely rearchitecting parts of their data platform completely rearchitecting entire data platforms is non-trivial. There are organizational challenges, there're data, data ownership, debates, technical considerations, and in particular two of the four fundamental data mesh principles that the, the need for a self-service infrastructure and federated computational governance are challenging. Look, democratizing data and facilitating data sharing creates conflicts with regulatory requirements around data privacy. As such many organizations are being really selective with their data mesh implementations and hence our prediction of narrowing the scope of data mesh initiatives. >>I think that was right on J P M C is a good example of this, where you got a single group within a, within a division narrowly implementing the data mesh architecture. They're using a w s, they're using data lakes, they're using Amazon Glue, creating a catalog and a variety of other techniques to meet their objectives. They kind of automating data quality and it was pretty well thought out and interesting approach and I think it's gonna be made easier by some of the announcements that Amazon made at the recent, you know, reinvent, particularly trying to eliminate ET t l, better connections between Aurora and Redshift and, and, and better data sharing the data clean room. So a lot of that is gonna help. Of course, snowflake has been on this for a while now. Many other companies are facing, you know, limitations as we said here and this slide with their Hadoop data platforms. They need to do new, some new thinking around that to scale. HelloFresh is a really good example of this. Look, the bottom line is that organizations want to get more value from data and having a centralized, highly specialized teams that own the data problem, it's been a barrier and a blocker to success. The data mesh starts with organizational considerations as described in great detail by Ash Nair of Warner Brothers. So take a listen to this clip. >>Yeah, so when people think of Warner Brothers, you always think of like the movie studio, but we're more than that, right? I mean, you think of H B O, you think of t n t, you think of C N N. We have 30 plus brands in our portfolio and each have their own needs. So the, the idea of a data mesh really helps us because what we can do is we can federate access across the company so that, you know, CNN can work at their own pace. You know, when there's election season, they can ingest their own data and they don't have to, you know, bump up against, as an example, HBO if Game of Thrones is going on. >>So it's often the case that data mesh is in the eyes of the implementer. And while a company's implementation may not strictly adhere to Jamma Dani's vision of data mesh, and that's okay, the goal is to use data more effectively. And despite Gartner's attempts to deposition data mesh in favor of the somewhat confusing or frankly far more confusing data fabric concept that they stole from NetApp data mesh is taking hold in organizations globally today. So we're gonna take a B on this one. The prediction is shaping up the way we envision, but as we previously reported, it's gonna take some time. The better part of a decade in our view, new standards have to emerge to make this vision become reality and they'll come in the form of both open and de facto approaches. Okay, our eighth prediction last year focused on the face off between Snowflake and Databricks. >>And we realized this popular topic, and maybe one that's getting a little overplayed, but these are two companies that initially, you know, looked like they were shaping up as partners and they, by the way, they are still partnering in the field. But you go back a couple years ago, the idea of using an AW w s infrastructure, Databricks machine intelligence and applying that on top of Snowflake as a facile data warehouse, still very viable. But both of these companies, they have much larger ambitions. They got big total available markets to chase and large valuations that they have to justify. So what's happening is, as we've previously reported, each of these companies is moving toward the other firm's core domain and they're building out an ecosystem that'll be critical for their future. So as part of that effort, we said each is gonna become aggressive investors and maybe start doing some m and a and they have in various companies. >>And on this chart that we produced last year, we studied some of the companies that were targets and we've added some recent investments of both Snowflake and Databricks. As you can see, they've both, for example, invested in elation snowflake's, put money into Lacework, the Secur security firm, ThoughtSpot, which is trying to democratize data with ai. Collibra is a governance platform and you can see Databricks investments in data transformation with D B T labs, Matillion doing simplified business intelligence hunters. So that's, you know, they're security investment and so forth. So other than our thought that we'd see Databricks I p o last year, this prediction been pretty spot on. So we'll give ourselves an A on that one. Now observability has been a hot topic and we've been covering it for a while with our friends at E T R, particularly Eric Bradley. Our number nine prediction last year was basically that if you're not cloud native and observability, you are gonna be in big trouble. >>So everything guys gotta go cloud native. And that's clearly been the case. Splunk, the big player in the space has been transitioning to the cloud, hasn't always been pretty, as we reported, Datadog real momentum, the elk stack, that's open source model. You got new entrants that we've cited before, like observe, honeycomb, chaos search and others that we've, we've reported on, they're all born in the cloud. So we're gonna take another a on this one, admittedly, yeah, it's a re reasonably easy call, but you gotta have a few of those in the mix. Okay, our last prediction, our number 10 was around events. Something the cube knows a little bit about. We said that a new category of events would emerge as hybrid and that for the most part is happened. So that's gonna be the mainstay is what we said. That pure play virtual events are gonna give way to hi hybrid. >>And the narrative is that virtual only events are, you know, they're good for quick hits, but lousy replacements for in-person events. And you know that said, organizations of all shapes and sizes, they learn how to create better virtual content and support remote audiences during the pandemic. So when we set at pure play is gonna give way to hybrid, we said we, we i we implied or specific or specified that the physical event that v i p experience is going defined. That overall experience and those v i p events would create a little fomo, fear of, of missing out in a virtual component would overlay that serves an audience 10 x the size of the physical. We saw that really two really good examples. Red Hat Summit in Boston, small event, couple thousand people served tens of thousands, you know, online. Second was Google Cloud next v i p event in, in New York City. >>Everything else was, was, was, was virtual. You know, even examples of our prediction of metaverse like immersion have popped up and, and and, and you know, other companies are doing roadshow as we predicted like a lot of companies are doing it. You're seeing that as a major trend where organizations are going with their sales teams out into the regions and doing a little belly to belly action as opposed to the big giant event. That's a definitely a, a trend that we're seeing. So in reviewing this prediction, the grade we gave ourselves is, you know, maybe a bit unfair, it should be, you could argue for a higher grade, but the, but the organization still haven't figured it out. They have hybrid experiences but they generally do a really poor job of leveraging the afterglow and of event of an event. It still tends to be one and done, let's move on to the next event or the next city. >>Let the sales team pick up the pieces if they were paying attention. So because of that, we're only taking a B plus on this one. Okay, so that's the review of last year's predictions. You know, overall if you average out our grade on the 10 predictions that come out to a b plus, I dunno why we can't seem to get that elusive a, but we're gonna keep trying our friends at E T R and we are starting to look at the data for 2023 from the surveys and all the work that we've done on the cube and our, our analysis and we're gonna put together our predictions. We've had literally hundreds of inbounds from PR pros pitching us. We've got this huge thick folder that we've started to review with our yellow highlighter. And our plan is to review it this month, take a look at all the data, get some ideas from the inbounds and then the e t R of January surveys in the field. >>It's probably got a little over a thousand responses right now. You know, they'll get up to, you know, 1400 or so. And once we've digested all that, we're gonna go back and publish our predictions for 2023 sometime in January. So stay tuned for that. All right, we're gonna leave it there for today. You wanna thank Alex Myerson who's on production and he manages the podcast, Ken Schiffman as well out of our, our Boston studio. I gotta really heartfelt thank you to Kristen Martin and Cheryl Knight and their team. They helped get the word out on social and in our newsletters. Rob Ho is our editor in chief over at Silicon Angle who does some great editing for us. Thank you all. Remember all these podcasts are available or all these episodes are available is podcasts. Wherever you listen, just all you do Search Breaking analysis podcast, really getting some great traction there. Appreciate you guys subscribing. I published each week on wikibon.com, silicon angle.com or you can email me directly at david dot valante silicon angle.com or dm me Dante, or you can comment on my LinkedIn post. And please check out ETR AI for the very best survey data in the enterprise tech business. Some awesome stuff in there. This is Dante for the Cube Insights powered by etr. Thanks for watching and we'll see you next time on breaking analysis.
SUMMARY :
From the Cube Studios in Palo Alto in Boston, bringing you data-driven insights from self grading system, but look, we're gonna give you the data and you can draw your own conclusions and tell you what, We kind of nailed the momentum in the energy but not the i p O that we had predicted Aqua Securities focus on And then, you know, I lumia holding its own, you So the focus on endpoint security that was a winner in 2022 is CrowdStrike led that charge put some meat in the bone, so to speak, and and allow us than you to say, okay, We said at the time, you can see this on the left hand side of this chart, the PC laptop demand would remain Kind of like an O K R and you know, we strive to provide data We thought they'd exit the year, you know, closer to, you know, 25 billion a quarter and we don't think they're we think, yeah, you might think it's a little bit harsh, we could argue for a B minus to the professor, Chris Miller of the register put out a Supercloud block diagram, something else that So you know, sorry you can hate the term, but very clearly the evidence is gathering for the super cloud But it's largely confined and narrow data problems with limited scope as you can see here with some of the announcements that Amazon made at the recent, you know, reinvent, particularly trying to the company so that, you know, CNN can work at their own pace. So it's often the case that data mesh is in the eyes of the implementer. but these are two companies that initially, you know, looked like they were shaping up as partners and they, So that's, you know, they're security investment and so forth. So that's gonna be the mainstay is what we And the narrative is that virtual only events are, you know, they're good for quick hits, the grade we gave ourselves is, you know, maybe a bit unfair, it should be, you could argue for a higher grade, You know, overall if you average out our grade on the 10 predictions that come out to a b plus, You know, they'll get up to, you know,
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Dave Cope, Spectro Cloud | Kubecon + Cloudnativecon Europe 2022
>>The cube presents, Coon and cloud native con Europe 22 brought to you by the cloud native computing foundation. >>Lisia Spain, a cuon cloud native con Europe 2022. I'm Keith towns, along with Paul Gillon, senior editor, enterprise architecture for Silicon angle. Welcome Paul, >>Thank you, Keith pleasure to work >>With you. You know, we're gonna have some amazing people this week. I think I saw stat this morning, 65% of the attendees, 7,500 folks. First time Q con attendees. This is your first conference. >>It is my first cubic con and it is amazing to see how many people are here and to think of, you know, just a couple of years ago, three years ago, we were still talking about what the cloud was and what the cloud was gonna do and how we were gonna integrate multiple clouds. And now we have this whole new framework for computing that is just rifled out of, out of nowhere. And as we can see by the number of people who are here, this has become a, a, this is the dominant trend in enterprise architecture right now, how to adopt Kubernetes and containers, build microservices based applications, and really get to that, that transparent cloud that has been so elusive. >>It has been elusive. And we are seeing vendors from startups with just a, a few dozen people to some of the traditional players we see in the enterprise space with thousands of employees looking to capture kind of lightning in a bottle, so to speak this elusive concept of multi-cloud. >>And what we're seeing here is very typical of an early stage conference. I've seen many times over the years where the, the floor is really dominated by companies, frankly, I've never heard of that. Many of them are only two or three years old, and you don't see the big, the big dominant computing players with, with the presence here that these smaller companies have. That's very typical. We saw that in the PC age, we saw it in the early days of Unix and, and it's happening again. And what will happen over time is that a lot of these companies will be acquired. There'll be some consolidation. And the nature of this show will change, I think, dramatically over the next couple or three years, but there is an excitement and an energy in this auditorium today that is, is really a lot of fun and very reminiscent of other new technologies just as they press it. >>Well, speaking of new technologies, we have Dave Cole, CR O chief revenue officer that's right. Chief marketing officer that's right of spec cloud. Welcome to the show. Thank >>You. It's great to be here. >>So let's talk about this big ecosystem. Okay. Kubernetes. Yes. Solve problem. >>Well, you know, the, the dream is, well, first of all, applications are really the lifeblood of a company, whether it's our phone or whether it's a big company trying to connect with its customer, it's about applications. And so the whole idea today is how do I build these applications to build that tight relationship with my customers? And how do I reinvent these applications rapidly in, along comes containerization, which helps you innovate more quickly. And certainly a dominant technology. There is Kubernetes. And the, the question is how do you get Kubernetes to help you build applications that can be born anywhere and live anywhere and take advantage of the places that it's running, cuz everywhere has pluses and minuses. >>So you know what the promise of Kubernetes from when I first read about it years ago is runs on my laptop. Yep. I can push it to any cloud, any platform that's that's right. Where's the gap. Where are we in that, in that phase? Like talk to me about scale. Is that, is that, is it that simple? >>Well, that act is actually the problem is that date while the technology is the dominant containerization technology and orchestration technology, it really still takes a power user. It really hasn't been very approachable to the masses. And so it was these very expensive, highly skilled resources that sit in a dark corner that have focused on Kubernetes, but that, that now is trying to evolve to make it more accessible to the masses. It's not about sort of hand wiring together. What is a typical 20 layer stack to really manage Kubernetes and then have your engineers manually can reconfigure it and make sure everything works together. Now it's about how do I create these stacks, make it easy to deploy and manage at scale. So we've gone from sort of DIY developer centric to all right, now, how do I manage this at scale? >>Now this is a point that is important, I think is often overlooked. This is not just about Kubernetes. This is about a whole stack of cloud native technologies. Yes. And you who is going to, who is going to integrate that, all that stuff, piece that stuff together, right? Obviously you have a, a role in that. Yes. But in the enterprise, what is the awareness level of how complex this stack is and how difficult it is to assemble? >>We, we see a recognition of that, that we've had developers working on Kubernetes and applications, but now when we say, how do we weave it into our production environments? How do we ensure things like scalability and governance? How do we have this sort of interesting mix of innovation, flexibility, but with control. And that's sort of an interesting combination where you want developers to be able to run fast and use the latest tools, but you need to create these guardrails to deploy it at scale. >>So where do the developers fit in that operation stack then? Is this, is Kubernetes an AI ops or an ops a task, or is it sort of a shared task across the development spectrum? >>Well, I think there's a desire to allow application developers, to just focus on the application and have a Kubernetes related technology that ensures that all of the infrastructure and related application services are just there to support them. And because the typical stack from the operating system to the application can be up to 20 different layers components. You just want all those components to work together. You don't want application developers to worry about those things. And the latest technologies like spectra cloud there's others are making that easy application engineers focus on their apps, all of the infrastructure and the services are taken care of. And those apps can then live natively on any environment. >>So help paint this picture for us. You know, I get got AKs ETS and those, all of these distributions OpenShift, the tan zoo, where is spec cloud helping me to kind of cobble together all these different distros I thought distro was the, was the thing like, just like Lennox has different distros, you know, right. Randy said different distros >>That actually is the irony. Is that sort of the age of debating, the distros largely is over. There are a lot of distros and if you look at them, there are largely shades of gray in being different from each other. But the Kubernetes distribution is just one element of like 20 elements that all have to work together. So right now what's what's happening is that it's not about the distribution it's now, how do I, again, sorry to repeat myself, but move this into a, into scale. How do I move it into deploy at scale, to be able to manage ongoing at scale, to be able to innovate at scale, to allow engineers, as I said, use the coolest tools, but still have technical guardrails that the, the enterprise knows they'll be in control of what, >>What does at scale mean to the enterprise customers you're talking to now? What do they mean when they say that? >>Well, I think it's interesting cuz we think scale's different cuz we've all been in the industry and it's frankly sort of boring old wor word, but today it means different things. Like how do I automate the deployment at scale? How do I be able to make it really easy to provision resources for applications on any environment from either a virtualized or bare metal data center cloud or today edge is really big where people are trying to push applications out to be closer to this source of the data. And so you want to be able to deploy it scale you wanna manage at scale, you wanna make it easy to, as I said earlier, allow application developers to build their applications, but it ops wants the ability to ensure security and governance and all of that. And then finally innovate at scale. If you look at this show, it's interesting, three years ago, when we started spectra cloud, there are about 1400 businesses or technologies in the Kubernetes ecosystem today there's over 1800 and all of these technologies made up of open source and commercial, all versioning at different rates. It becomes an insurmountable problem unless you can set those guardrails sort of that balance between flexibility and control, let developers access the technologies. But again, manage it as a part of your normal processes of a, of a scale of operation. >>So, so Dave, I'm a little challenged here cuz I'm hearing two where I typically consider conflicting terms. Okay. Flexibility control. Yes. In order to achieve control, I need complexity in order to choose flexibility. I need t-shirt one t-shirt fits all right. To and I, and I, and I get simplicity. How can I get both that just doesn't you know, compute >>Well thus the opportunity and the challenge at the same time. So you're right. So developers want choice, good developers want the ability to choose the latest technology so they can innovate rapidly. And yet it ops wants to be able to make sure that there are guard rails. And so with some of today's technologies like spectral cloud, it is you have the ability to get both. We actually worked with dimensional research and we sponsor an annual state of Kubernetes survey. We found this last summer, that two out of three, it executives said you could not have both flexibility and control together, but in fact they want it. And so it is this interesting balance. How do I give engineers the ability to get anything they want, but it ops the ability to establish control. And that's why Kubernetes is really at its next inflection point. Whereas I mentioned, it's not debates about the distro or DIY projects. It's not big incumbents creating siloed Kubernetes solutions. But in fact it's about allowing all these technologies to work together and be able to establish these controls. And that's, that's really where the industry is today. >>Enterprise enterprise CIOs do not typically like to take chances. Now we were talking about the growth in the market that you described from 1400, 1800 vendors. Most of these companies, very small startups are, are enterprises. Are you seeing them willing to take a leap with these unproven companies or are they holding back and waiting for the IBMs, the HPS, the Microsofts to come in with the VMwares with whatever they solution they have? >>I, I think so. I mean, we sell to the global 2000. We had yesterday as a part of edge day here at the event, we had GE healthcare as one of our customers telling their story. And they're a market share leader in medical imaging equipment. X-rays MRIs, cat scans, and they're, they're starting to treat those as edge devices. And so here is a very large established company, a leader in their industry, working with people like spectral cloud, realizing that Kubernetes is interesting technology. The edge is an interesting thought, but how do I marry the two together? So we are seeing large corporations seeing so much of an opportunity that they're working with the smaller companies, the latest technology. >>So let's talk about the edge a little. You kind of opened it up there. Yeah. How should customers think about the edge versus the cloud data center or even bare metal? >>Actually it's a well bare bare metal is fairly easy is that many people are looking to reduce some of the overhead or inefficiencies of the virtualized environment. And, but we've had really sort of parallel little white tornadoes. We've had bare metal as infrastructure that's been developing and then we've had orchestration technology's developing, but they haven't really come together very well lately. We're finally starting to see that come together. Spectra cloud contributed to open source a metal as a service technology that finally brings these two worlds together. Making bare metal much more approachable to the inters enterprise edge is interesting because it seems pretty obvious. You wanna push your application out closer to your source of data, whether it's AI in fencing or O T or anything like that, you don't wanna worry about intermittent connectivity or latency or anything like that. But people have wanted to be able to treat the edge as if it's almost like a cloud where all I worry about is the app. >>So really the edge to us is just the next extension in a multi-cloud sort of motif where I want these edge devices to require low it resources to automate the provisioning, automate the ongoing version management patch management really act like a cloud. And we're seeing this as very, very popular now. And I just used the GE healthcare example of that. Imagine a cat scan machine, I'm making this part up in China and that's just an edge device. And it's, it's doing medical imagery, which is very intense in terms of data. You want to be able to process it quickly and accurately as close to the endpoint, the healthcare provider as possible. >>So let's talk about that in some level of detail, as we think about kind of edge and you know, these fixed devices such as imaging device, are we putting agents on there? Are we looking at something talking back to the cloud, where does special cloud inject and help make that simple, that problem of just having dispersed endpoints all over the world? Simpler? >>Sure. Well we announced our edge Kubernetes edge solution at a big medical conference called, called hymns months ago. And what we allow you to do is we allow the application engineers to develop their application. And then you can de you can design this declarative model, this cluster API, but beyond cluster profile, which determines which additional application services you need and the edge device, all the person has to do with the endpoint is plug in the power plug in the communications. It registers the edge device. It automates the deployment of the full stack. And then it does the ongoing versioning and patch management, sort of a self-driving edge device running Kubernetes. And we make it just very, very easy. No, it resources required at the endpoint, no expensive field engineering resources to go to these endpoints twice a year to apply new patches and things like that, all >>Automated, but there's so many different types of edge devices with different capabilities, different operating systems, some have no operating system. Yeah. I mean, what, that seems like a much more complex environment, just calling it, the edge is simple, but what you're really talking about is thousands of different devices, right? That you have to run your applications on how, how are you dealing with that? >>So one of the ways is that we're really unbiased. In other words, we're OS and distro agnostic. So we don't want to debate about which distribution you like. We don't want to debate about, you know, which OS you want to use. The truth is you're right. There's different environments and different choices that you'll wanna make. And so the key is, is how do you incorporate those and also recognize everything beyond those, you know, OS and Kubernetes and all of that and manage that full stack. So that's what we do is we allow you to choose which tools you want to use and let it be deployed and managed on any environment. >>And who's respo, I'm sorry, key. Who's responsible for making Kubernetes run on the edge device. >>We do. We provision the entire stack. I mean, of course the company does using our product, but we provision the entire Kubernetes infrastructure stack all the application services and the application itself on that device. >>So I would love to dig into like where pods happen and all that, but provisioning is getting to the point that it's a solve problem. Day two. Yes. Like we, you know, you just mentioned hymns, highly regulated environments. How does spec cloud helping with configuration management change control, audit, compliance, et cetera, the hard stuff. >>Yep. And one of the things we do, you bring up a good point is we manage the full life cycle from day zero, which is sort of create, deploy all the way to day two, which is about, you know, access control, security. It's about ongoing versioning and patch management. It's all of that built into the platform. And, but you're right. Like the medical industry has a lot of regulations. And so you need to be able to make sure that everything works. It's always up to the latest level, have the highest level of security. And so all that's built into the platform. It's not just a fire and forget it really is about that full life cycle of deploying, managing on an ongoing basis. >>Well, Dave, I'd love to go into a great deal of detail with you about kind of this day two option. I think we'll be covering a lot more of that topic, Paul, throughout the week, as we talk about just, you know, as we've gotten past, you know, how do I deploy Kubernetes pod to how do I actually operate it? >>Absolutely, absolutely. The devil is in the details as they say, >>Well, and also too, you have to recognize that the edge has some very unique requirements. You want very small form factors. Typically you want low it resources. It has to be sort of zero touch or low touch because if you're a large food provider with 20,000 store locations, you don't wanna send out field engineers two or three times a year to update them. So it really is an interesting beast and we have some exciting technology and people like GE are using that. >>Well, Dave, thanks a lot for coming on to Q you're now Cub Alon. You've not been on before. >>I have actually. Yes. Oh. But I always enjoy it. >>It's great conversation. Foria Spain. I'm Keith towns along with Paul Gillon and you're watching the cue, the leader in high tech coverage.
SUMMARY :
The cube presents, Coon and cloud native con Europe 22 brought to I'm Keith towns, along with Paul Gillon, senior editor, enterprise architecture morning, 65% of the attendees, 7,500 folks. It is my first cubic con and it is amazing to see how many people are here and to think of, a few dozen people to some of the traditional players we see in the enterprise space with And the nature Welcome to the show. So let's talk about this big ecosystem. And so the So you know what the promise of Kubernetes from when I first read about it years ago is runs Well, that act is actually the problem is that date while the technology is the dominant containerization And you who is going where you want developers to be able to run fast and use the latest tools, but you need to create these from the operating system to the application can be up to 20 different layers components. different distros, you know, right. Is that sort of the age of debating, the distros largely is over. And so you want to be able to deploy it scale you wanna manage I get both that just doesn't you know, compute How do I give engineers the ability to get anything they want, but it ops the ability Now we were talking about the growth in the market that you described from 1400, day here at the event, we had GE healthcare as one of our customers So let's talk about the edge a little. is the app. So really the edge to us is just the next extension in a multi-cloud sort of motif And what we allow you to do is we allow the application a much more complex environment, just calling it, the edge is simple, but what you're really talking about is thousands And so the key is, is how do you incorporate those and also recognize everything Who's responsible for making Kubernetes run on the edge device. I mean, of course the company does using our product, is getting to the point that it's a solve problem. And so all that's built into the platform. Well, Dave, I'd love to go into a great deal of detail with you about The devil is in the details as they say, Well, and also too, you have to recognize that the edge has some very unique requirements. Well, Dave, thanks a lot for coming on to Q you're now Cub Alon. I have actually. I'm Keith towns along with Paul Gillon and
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Loris Degioanni | AWS Startup Showcase S2 Ep 1 | Open Cloud Innovations
>>Welcoming into the cubes presentation of AWS startup showcase open cloud innovations. This is season two episode one of the ongoing series covering exciting hot startups from the AWS ecosystem. Today's episode. One of season two theme is open source community and the open cloud innovations. I'm your host, John farrier of the cube. And today we're excited to be joined by Loris Dajani who is the C T O chief technology officer and founder of cystic found that in his backyard with some wine and beer. Great to see you. We're here to talk about Falco finding cloud threats in real time. Thank you for joining us, Laura. Thanks. Good to see you >>Love that your company was founded in your backyard. Classic startup story. You have been growing very, very fast. And the key point of the showcase is to talk about the startups that are making a difference and, and that are winning and doing well. You guys have done extremely well with your business. Congratulations, but thank you. The big theme is security and as organizations have moved their business critical applications to the cloud, the attackers have followed. This is Billy important in the industry. You guys are in the middle of this. What's your view on this? What's your take? What's your reaction? >>Yeah. As we, as a end ecosystem are moving to the cloud as more and more, we are developing cloud native applications. We relying on CACD. We are relying on orchestrations in containers. Security is becoming more and more important. And I would say more and more complex. I mean, we're reading every day in the news about attacks about data leaks and so on. There's rarely a day when there's nothing major happening and that we can see the press from this point of view. And definitely things are evolving. Things are changing in the cloud. In for example, Cisco just released a cloud native security and usage report a few days ago. And the mundane things that we found among our user base, for example, 60, 66% of containers are running as rude. So still many organizations adopting a relatively relaxed way to deploy their applications. Not because they like doing it, but because it tends to be, you know, easier and a little bit with a little bit less ration. >>We also found that that 27% of users unnecessary route access in the 73% of the cloud accounts, public has three buckets. This is all stuff that is all good, but can generate consequences when you make a mistake, like typically, you know, your data leaks, no, because of super sophisticated attacks, but because somebody in your organization forgets maybe some data on it on a public history bucket, or because some credentials that are not restrictive enough, maybe are leaked to another team member or, or, or a Gita, you know, repository or something like that. So is infrastructures and the software becomes a let's a more sophisticated and more automated. There's also at the same time, more risks and opportunities for misconfigurations that then tend to be, you know, very often the sewers of, of issues in the cloud. >>Yeah, those self-inflicted wounds definitely come up. We've seen people leaving S3 buckets open, you know, it's user error, but, you know, w w those are small little things that get taken care of pretty quickly. That's just hygiene. It's just discipline. You know, most of the sophisticated enterprises are moving way past that, but now they're adopting more cloud native, right. And as they get into the critical apps, securing them has been challenging. We've talked to many CEOs and CSOs, and they say that to us. Yeah. It's very challenging, but we're on it. I have to ask you, what should people worry about when secure in the cloud, because they know is challenging, then they'll have the opportunity on the other side, what are they worried about? What do you see people scared of or addressing, or what should I be worried about when securing the cloud? >>Yeah, definitely. Sometimes when I'm talking about the security, I like to compare, you know, the old data center in that the old monolithic applications to a castle, you know, in middle aged castle. So what, what did you do to protect your castle? You used to build very thick walls around it, and then a small entrance and be very careful about the entrance, you know, protect the entrance very well. So what we used to doing that, that data center was protect everything, you know, the, the whole perimeter in a very aggressive way with firewalls and making sure that there was only a very narrow entrance to our data center. And, you know, as much as possible, like active security there, like firewalls or this kind of stuff. Now we're in the cloud. Now, it's everything. Everything is much more diffused, right? Our users, our customers are coming from all over the planet, every country, every geography, every time, but also our internal team is coming from everywhere because they're all accessing a cloud environment. >>You know, they often from home for different offices, again, from every different geography, every different country. So in this configuration, the metaphor data that they like to use is an amusement park, right? You have a big area with many important things inside in the users and operators that are coming from different dangerous is that you cannot really block, you know, you need to let everything come in and in operate together in these kinds of environment, the traditional protection is not really effective. It's overwhelming. And it doesn't really serve the purpose that we need. We cannot build a giant water under our amusement park. We need people to come in. So what we're finding is that understanding, getting visibility and doing, if you Rheodyne is much more important. So it's more like we need to replace the big walls with a granular network of security cameras that allow us to see what's happening in the, in the different areas of our amusement park. And we need to be able to do that in a way that is real time and allows us to react in a smart way as things happen because in the modern world of cloud five minutes of delay in understanding that something is wrong, mean that you're ready being, you know, attacked and your data's already being >>Well. I also love the analogy of the amusement park. And of course, certain rides, you need to be a certain height to ride the rollercoaster that I guess, that's it credentials or security credentials, as we say, but in all seriousness, the perimeter is dead. We all know that also moats were relied upon as well in the old days, you know, you secure the firewall, nothing comes in, goes out, and then once you're in, you don't know what's going on. Now that's flipped. There's no walls, there's no moats everyone's in. And so you're saying this kind of security camera kind of model is key. So again, this topic here is securing real time. Yeah. How do you do that? Because it's happening so fast. It's moving. There's a lot of movement. It's not at rest there's data moving around fast. What's the secret sauce to making real identifying real-time threats in an enterprise. >>Yeah. And in, in our opinion, there are some key ingredients. One is a granularity, right? You cannot really understand the threats in your amusement park. If you're just watching these from, from a satellite picture. So you need to be there. You need to be granular. You need to be located in the, in the areas where stuff happens. This means, for example, in, in security for the clowning in runtime, security is important to whoever your sensors that are distributed, that are able to observe every single end point. Not only that, but you also need to look at the infrastructure, right? From this point of view, cloud providers like Amazon, for example, offer nice facilities. Like for example, there's CloudTrail in AWS that collects in a nice opinionated consistent way, the data that is coming from multiple cloud services. So it's important from one point of view, to go deep into, into the endpoint, into the processes, into what's executing, but also collect his information like the cultural information and being able to correlate it to there's no full security without covering all of the basics. >>So a security is a matter of both granularity and being able to go deep and understanding what every single item does, but also being able to go abroad and collect the right data, the right data sources and correlated. And then the real time is really critical. So decisions need to be taken as the data comes in. So the streaming nature of security engines is becoming more and more important. So the step one of course, security, especially cost security, posture management was very much let's ball. Once in a while, let's, let's involve the API and see what's happening. This is still important. Of course, you know, you need to have the basics covered, but more and more, the paradigm needs to change to, okay, the data is coming in second by second, instead of asking for the data manually, once in a while, second by second, there's the moment it arrives. You need to be able to detect, correlate, take decisions. And so, you know, machine learning is very important. Automation is very important. The rules that are coming from the community on a daily basis are, are very important. >>Let me ask you a question, cause I love this topic because it's a data problem at the same time. There's some network action going on. I love this idea of no perimeter. You're going to be monitoring anything, but there's been trade offs in the past, overhead involved, whether you're monitoring or putting probes in the network or the different, there's all kinds of different approaches. How does the new technology with cloud and machine learning change the dynamics of the kinds of approaches? Because it's kind of not old tech, but you the same similar concepts to network management, other things, what what's going on now that's different and what makes this possible today? >>Yeah, I think from the friction point of view, which is one very important topic here. So this needs to be deployed efficiently and easily in this transparency, transparent as possible, everywhere, everywhere to avoid blind spots and making sure that everything is scheduled in front. His point of view, it's very important to integrate with the orchestration is very important to make use of all of the facilities that Amazon provides in the it's very important to have a system that is deployed automatically and not manually. That is in particular, the only to avoid blind spots because it's manual deployment is employed. Somebody would forget, you know, to deploy where somewhere where it's important. And then from the performance point of view, very much, for example, with Falco, you know, our open source front-end security engine, we really took key design decisions at the beginning to make sure that the engine would be able to support in Paris, millions of events per second, with minimal overhead. >>You know, they're barely measure measurable overhead. When you want to design something like that, you know, that you need to accept some kind of trade-offs. You need to know that you need to maybe limit a little bit this expressiveness, you know, or what can be done, but ease of deployment and performance were more important goals here. And you know, it's not uncommon for us is Dave to have users of Farco or commercial customers that they have tens of thousands, hundreds of thousands of machines. You know, I said two machines and sometimes millions of containers. And in these environments, lightweight is key. You want death, but you want overhead to be really meaningful and >>Okay, so a amusement park, a lot of diverse applications. So integration, I get that orchestration brings back the Kubernetes angle a little bit and Falco and per overhead and performance cloud scale. So all these things are working in favor. If I get that right, is that, am I getting that right? You get the cloud scale, you get the integration and open. >>Yeah, exactly. Any like ingredients over SEP, you know, and that, and with these ingredients, it's possible to bake a, a recipe to, to have a plate better, can be more usable, more effective and more efficient. That may be the place that we're doing in the previous direction. >>Oh, so I've got to ask you about Falco because it's come up a lot. We talked about it on our cube conversations already on the internet. Check that out. And a great conversation there. You guys have close to 40 million plus million downloads of, of this. You have also 80 was far gate integration, so six, some significant traction. What does this mean? I mean, what is it telling us? Why is this successful? What are people doing with Falco? I see this as a leading indicator, and I know you guys were sponsoring the project, so congratulations and propelled your business, but there's something going on here. What does this as a leading indicator of? >>Yeah. And for, for the audience, Falco is the runtime security tool of the cloud native generation such. And so when we, the Falco, we were inspired by previous generation, for example, network intrusion detection, system tools, and a post protection tools and so on. But we created essentially a unique tool that would really be designed for the modern paradigm of containers, cloud CIC, and salt and Falco essentially is able to collect a bunch of brainer information from your applications that are running in the cloud and is a religion that is based on policies that are driven by the community, essentially that allow you to detect misconfigurations attacks and normals conditions in your cloud, in your cloud applications. Recently, we announced that the extension of Falco to support a cloud infrastructure and time security by parsing cloud logs, like cloud trail and so on. So now Falba can be used at the same time to protect the workloads that are running in virtual machines or containers. >>And also the cloud infrastructure to give the audience a couple of examples, focused, able to detect if somebody is running a shelf in a radius container, or if somebody is downloading a sensitive by, from an S3 bucket, all of these in real time with Falco, we decided to go really with CR study. This is Degas was one of the team members that started it, but we decided to go to the community right away, because this is one other ingredient. We are talking about the ingredients before, and there's not a successful modern security tool without being able to leverage the community and empower the community to contribute to it, to use it, to validate and so on. And that's also why we contributed Falco to the cloud native computing foundation. So that Falco is a CNCF tool and is blessed by many organizations. We are also partnering with many companies, including Amazon. Last year, we released that far gate support for Falco. And that was done is a project that was done in cooperation with Amazon, so that we could have strong runtime security for the containers that are running in. >>Well, I've got to say, first of all, congratulations. And I think that's a bold move to donate or not donate contribute to the open source community because you're enabling a lot of people to do great things. And some people might be scared. They think they might be foreclosing and beneficial in the future, but in the reality, that is the new business model open source. So I think that's worth calling out and congratulations. This is the new commercial open source paradigm. And it kind of leads into my last question, which is why is security well-positioned to benefit from open source besides the fact that the new model of getting people enabled and getting scale and getting standards like you're doing, makes everybody win. And again, that's a community model. That's not a proprietary approach. So again, source again, big part of this. Why was security benefit from opensource? >>I am a strong believer. I mean, we are in a better, we could say we are in a war, right? The good guys versus the bad guys. The internet is full of bad guys. And these bad guys are coordinated, are motivated, are sometimes we'll find it. And we'll equip. We win only if we fight this war as a community. So the old paradigm of vendors building their own Eva towers, you know, their own self-contained ecosystems and that the us as users as, as, as customers, every many different, you know, environments that don't communicate with each other, just doesn't take advantage of our capabilities. Our strength is as a community. So we are much stronger against the big guys and we have a much better chance doing when this war, if we adopt a paradigm that allows us to work together. Think only about for example, I don't know, companies any to train, you know, the workforce on the security best practices on the security tools. >>It's much better to standardize on something, build the stack that is accepted by everybody and tell it can focus on learning the stack and becoming a master of the steak rounded rather than every single organization naming the different tool. And, and then B it's very hard to attract talent and to have the right, you know, people that can help you with, with your issues in, in, in, in, in, with your goals. So the future of security is going to be open source. I'm a strong believer in that, and we'll see more and more examples like Falco of initiatives that really start with, with the community and for the community. >>Like we always say an open, open winds, always turn the lights on, put the code out there. And I think, I think the community model is winning. Congratulations, Loris Dajani CTO and founder of SIS dig congratulatory success. And thank you for coming on the cube for the ADB startup showcase open cloud innovations. Thanks for coming on. Okay. Is the cube stay with us all day long every day with the cube, check us out the cube.net. I'm John furrier. Thanks for watching.
SUMMARY :
Good to see you And the key point of the showcase is to talk about the startups that are making a difference and, but because it tends to be, you know, easier and a little bit with a little bit less ration. for misconfigurations that then tend to be, you know, very often the sewers You know, most of the sophisticated enterprises I like to compare, you know, the old data center in that the metaphor data that they like to use is an amusement park, right? What's the secret sauce to making real identifying real-time threats in the cultural information and being able to correlate it to there's no full security the paradigm needs to change to, okay, the data is coming in second by second, How does the new technology with cloud and machine learning change And then from the performance point of view, very much, for example, with Falco, you know, You need to know that you need to maybe limit a little bit this expressiveness, you know, You get the cloud scale, you get the integration and open. over SEP, you know, and that, and with these ingredients, it's possible to bake Oh, so I've got to ask you about Falco because it's come up a lot. on policies that are driven by the community, essentially that allow you to detect And also the cloud infrastructure to give the audience a couple of examples, And I think that's a bold move to donate or not donate contribute that the us as users as, as, as customers, to attract talent and to have the right, you know, people that can help you with, And thank you for coming
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Tom Miller & Ankur Jain, Merkle | AWS re:Invent 2021
>>Okay, We're back at AWS Re. Invent. You're watching the >>cubes. Continuous coverage >>coverage. This is Day four. I think it's the first time it reinvent. We've done four days. This is our ninth year covering Reinvent. Tom Miller is here is the senior vice president of Alliances. And he's joined by Anchor Jane. Who's the global cloud? Practically practise lead at Merkel. Guys, good to see you. Thanks for coming on. Thank you, Tom. Tell us about Merkel. For those who might not be familiar with you. >>So Merkel is a customer experience management company. That is, um, under the Dentsu umbrella. Dense. Who is a global media agency? We represent one of the pillars which is global, our customer experience management. And they also have media and creative. And what Merkel does is provide that technology to help bring that creative and media together. They're a tech company. Yes. >>Okay, so there's some big big tail winds, changes, trends going on in the market. Obviously the pandemic. You know, the force marched to digital. Uh, there's regulation. What are some of the big waves that you guys are seeing that you're trying to ride? >>So what we're seeing is, uh we've got, uh, as a start. We've got a lot of existing databases with clients that are on Prem that we manage today within a sequel environment or so forth. And they need to move that to a cloud environment to be more flexible, more agile, provide them with more data to be able to follow that customer experience that they want with their clients, that they're all realising they need to be in a digital environment. And so that's a big push for us working with AWS and helping move our clients into that cloud environments. >>And you're relatively new to the ws world, right? Maybe you can talk >>about that anchor actually, as a partner. We may be new, but Merkel works with AWS has been working with AWS for over five years as a customer as a customer. So what we did was last year we formalise the relationship with us to be, uh, an advanced partner now. So we were part of the restock programme, basically which is a pool of very select partners. And Merkel comes in with the specialisation of marketing. So as Tom said, you know, we're part of, uh Dentsu umbrella are our core focuses on customer experience, transformation and how we do that Customer experience. Transformation is through digital transformation, data transformation. And that's where we see AWS being a very good partner to us to modernise the solutions that Martin can take to the market. >>So your on Prem databases is probably a lot of diversity on a lot of technical that when the cloud more agility, infinite resources do you have a tech stack? Are you more of an integrator? Right tool for the right job? Maybe you could describe >>your I can take that what time just described. So let me give you some perspective on what these databases are. These databases are essentially Markle, helping big brands 1400 Fortune 500 brands to organise their marketing ecosystem, especially Martek ecosystem. So these databases, they house customer touchpoints customer customer data from disparate sources, and they basically integrate that data in one central place and then bolt on analytics, data science, artificial intelligence, machine learning on top of it, helping them with those email campaigns or direct mail campaigns, social campaigns. So that's what these databases are all about, and and these databases currently set on Prem on Merkel's own data centre. And we have a huge opportunity to kind of take those databases and modernise them. Give all these ai ml type of capabilities advanced analytic capabilities to our customers by using AWS is the platform to kind of migrate. And you do that as a service. We do that as a service. >>Strategically, you're sort of transforming your business to help your customers transform their business right? Take away. It's it's classic. I mean, you really it's happening. This theme of, you know a W started with taking away the undifferentiated heavy lifting for infrastructure. Now you're seeing NASDAQ. Goldman Sachs. You guys in the media world essentially building your own clouds, right? That's the strategy. Yes, super clouds. We call >>them Super Cloud. Yeah, it's about helping our clients understand What is it they're trying to accomplish? And for the most part, they're trying to understand the customer journey where the customer is, how they're driving that experience with them and understanding that experience through the journey and doing that in the cloud makes it tremendously easier and more economical form. >>I was listening to the, uh, snowflake earnings call from last night and they were talking about, you know, a couple of big verticals, one being media and all. I keep talking about direct direct to consumer, right? You're hearing that a lot of media companies want to interact and build community directly. They don't want to necessarily. I mean, you don't want to go through a third party anymore if you don't have to, Technology is enabling that is that kind of the play here? >>Yes, Director Consumer is a huge player. Companies which were traditionally brick and mortar based or relied on a supply chain of dealers and distributors are now basically transforming themselves to be direct to consumer. They want to sell directly to the consumer. Personalisation comes becomes a big theme, especially indeed to see type of environment, because now those customers are expecting brands to know what's there like. What's their dislike? Which products which services are they interested in? So that's that's all kind of advanced analytics machine learning powered solutions. These are big data problems that all these brands are kind of trying to solve. That's where Merkel is partnering with AWS to bring all those technologies and and build those next generation solutions for access. So what kind >>of initiatives are you working >>on? So there are, like, 34 areas that we are working very closely with AWS number one. I would say Think about our marketers friend, you know, and they have a transformation like direct to consumer on the channel e commerce, these types of capabilities in mind. But they don't know where to start. What tools? What technologies will be part of that ecosystem. That's where Merkel provides consulting services to to give them a road map, give them recommendations on how to structure these big, large strategic initiatives. That's number one we are doing in partnership with AWS to reach out to our joint customers and help them transform those ecosystems. Number two as Tom mentioned migrations, helping chief data officers, chief technology officers, chief marketing officers modernise their environment by migrating them to cloud number three. Merkel has a solution called mercury, which is essentially all about customer identity. How do we identify a customer across multiple channels? We are Modernising all that solution of making that available on AWS marketplace for customers to actually easily use that solution. And number four, I would say, is helping them set up data foundation. That's through intelligent marketing Data Lake leveraging AWS technologies like blue, red shift and and actually modernise their data platforms. And number four is more around clean rooms, which is bring on your first party data. Join it with Amazon data to see how those customers are behaving when they are making a purchase on amazon dot com, which gives insights to these brands to reshape their marketing strategy to those customers. So those are like four or five focus areas. So I was >>gonna ask you about the data and the data strategy like, who owns the data? You're kind of alchemists that your clients have first party data and you might recommend bringing in other data sources. And you're sort of creating this new cocktail. Who owns the data? >>Well, ultimately, client also data because that that's their customers' data. Uh, to your point on, we helped them enrich that data by bringing in third party data, which is what we call is. So Merkel has a service called data source, which is essentially a collection of data that we acquire about customers. Their likes, their dislikes, their buying power, their interests so we monetise all that data. And the idea is to take those data assets and make them available on AWS data exchange so that it becomes very easy for brands to use their first party data. Take this third party data from Merkel and then, uh, segment their customers much more intelligently. >>And the CMO is your sort of ideal customer profile. >>Yeah, CMO is our main customer profile and we'll work with the chief data officer Will work with the chief technology officer. We kind of we bridge both sides. We can go technology and marketing and bring them both together. So you have a CMO who's trying to solve for some type of issue. And you have a chief technology officer who wants to improve their infrastructure. And we know how to bring them together into a conversation and help both parties get both get what they want. >>And I suppose the chief digital officer fits in there too. Yeah, he fits in their CDOs. Chief Digital officer CMO. Sometimes they're all they're one and the same. Other times they're mixed. I've seen see IOS and and CDOs together. Sure, you sort of. It's all data. It's all >>day. >>Yeah, some of the roles that come into play, as as Tom mentioned. And you mentioned C I o c T. O s chief information officer, chief technology officer, chief data officer, more from the side. And then we have the CMOS chief digital officers from the marketing side. So the secret sauce that Merkel brings to the table is that we know the language, what I t speaks and what business speaks. So when we talk about the business initiatives like direct to consumer Omni Channel E commerce, those are more business driven initiatives. That's where Merkel comes in to kind of help them with our expertise over the last 30 years on on how to run these strategic initiatives. And then at the same time, how do we translate translate those strategic initiatives into it transformation because it does require a lot of idea transformation to happen underneath. That's where AWS also helps us. So we kind of span across both sides of the horizon. >>So you got data. You've got tools, you've got software. You've got expertise that now you're making that available as a as a service. That's right. How far are you into that? journey of satisfying your business. >>Well, the cloud journey started almost, I would say, 5 to 7 years ago at Merkel, >>where you started, where you began leveraging the cloud. That's right. And then the light bulb went off >>the cloud again. We use clouds in multiple aspects, from general computing perspective, leveraging fully managed services that AWS offers. So that's one aspect, which is to bring in data from disparate sources, house it, analyse it and and derive intelligence. The second piece on the cloud side is, uh, SAS, offering software as a service offerings like Adobe Salesforce and other CDP platforms. So Merkel covers a huge spectrum. When it comes to cloud and you got >>a combination, you have a consulting business and also >>so Merkel has multiple service lines. Consulting business is one of them where we can help them on how to approach these transformational initiatives and give them blueprints and roadmaps and strategy. Then we can also help them understand what the customer strategy should be, so that they can market very intelligently to their end customers. Then we have a technology business, which is all about leveraging cloud and advanced analytics. Then we have data business that data assets that I was talking about, that we monetise. We have promotions and loyalty. We have media, so we recover multiple services portfolio. >>How do you mentioned analytics a couple times? How do you tie that? Back to the to the to the sales function. I would imagine your your clients are increasingly asking for analytics so they can manage their dashboards and and make sure they're above the line. How is that evolving? Yes, >>So that's a very important line because, you know, data is data, right? You bring in the data, but what you do with the data, how you know, how you ask questions and how you derive intelligence from it? Because that's the actionable part. So a few areas I'll give you one or two examples on how those analytics kind of come into picture. Let's imagine a brand which is trying to sell a particular product or a particular service to the to a set of customers Now who those set of customers are, You know where they should target this, who their target customers are, what the demographics are that's all done through and analytics and what I gave you is a very simple example. There are so many advanced examples, you know, that come into artificial intelligence machine learning those type of aspects as well. So analytics definitely play a huge role on how these brands need to sell and personalised the offerings that they're going to offer to. The customers >>used to be really pure art, right? It's really >>not anymore. It's all data driven. Moneyball. Moneyball? >>Yes, exactly. Exactly. Maybe still a little bit of hard in there, right? It doesn't hurt. It doesn't hurt to have a little creative flair still, but you've got to go with the data. >>That's where the expertise comes in, right? That's where the experience comes in and how you take that science and combine it with the art to present it to the end customer. That's exactly you know. It's a combination, >>and we also take the time to educate our clients on how we're doing it. So it's not done in a black box, so they can learn and grow themselves where they may end up developing their own group to handle it, as opposed to outsourcing with Merkel, >>teach them how to fish. Last question. Where do you see this in 2 to 3 years. Where do you want to take it? >>I think future is Cloud AWS being the market leader. I think aws has a huge role to play. Um, we are very excited to be partners with AWS. I think it's a match made in heaven. AWS cells in, uh, majority of the sales happen in our focus is marketing. I think if we can bring both the worlds together, I think that would be a very powerful story for us to be >>good news for AWS. They little your DNA can rub off on them would be good, guys. Thanks so much for coming to the Cube. Thank you. All right. Thank you for watching everybody. This is Dave Volonte for the Cube Day four aws re invent. Were the Cube the global leader in high tech coverage? Right back. Mhm. Mhm. Mhm.
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You're watching the Tom Miller is here is the senior vice president of Alliances. is provide that technology to help bring that creative and media together. What are some of the big waves that you guys are seeing that you're trying to ride? And they need to move that to a cloud environment So as Tom said, you know, we're part of, uh Dentsu umbrella And you do that as a service. I mean, you really it's happening. And for the most part, they're trying to understand the Technology is enabling that is that kind of the play here? These are big data problems that all these brands are kind of trying to solve. I would say Think about our marketers friend, you know, and they have a transformation clients have first party data and you might recommend bringing in other data sources. And the idea is to take those data assets and make them available on AWS So you have a CMO And I suppose the chief digital officer fits in there too. So the secret sauce that Merkel brings to the table is that we know the language, So you got data. where you started, where you began leveraging the cloud. When it comes to cloud and you got Then we have a technology business, which is all about leveraging cloud and advanced analytics. the to the sales function. You bring in the data, but what you do with the data, how you know, how you ask questions and how you derive It's all data driven. It doesn't hurt to have a little creative flair still, but you've got to go with the data. That's where the experience comes in and how you take that science So it's not done in a black box, so they can learn and grow Where do you want to take it? I think aws has a huge role to play. Thanks so much for coming to the Cube.
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Kacy Clarke & Elias Algna
>>you welcome to the cubes, continuing coverage of Splunk dot com. 21 I'm lisa martin of a couple guests here with me. Next talking about Splunk H P E N. Deloitte, please welcome Casey Clark, Managing Director and chief architect at Deloitte and Elias Alanya Master Technologists Office of the North American C T O at H P E. Guys welcome to the program. Great to have you. >>Thank you lisa. It's great to be here. >>Thanks lisa >>Here we still are in this virtual world the last 18 months, so many challenges, some opportunities, some silver linings but some of the big challenges that organizations are facing this rapid shift to remote work. The rapid acceleration In digital transformation ran somewhere up nearly 11 x in the first half of this year alone. Solar winds talk to me about some of the challenges that organizations are facing and how you're helping them deal with that Casey >>we'll start with you So most of our clients as we move to virtual um have accelerated their adoption of multiple cloud platforms. You know, moving into a W S into Azure into google. And one of the biggest challenges is in this distributed environment, they still have significant workloads on prem Part of the workloads are in office 3 65. Part of them are in salesforce part of them they're moving into AWS or big data workloads into google. How do you make this all manageable from both. A security point of view and accelerating threats. Uh make that much worse but also from an operational point of view, you know, how do I do application performance management when I have workloads in the cloud calling. Api is back on prem into the mainframe. How do I make an operationally when I have tons of containers and virtual machines operating out there? So the importance of Splunk and good log management observe ability along with all the security management and the security logs and being able to monitor for your environment in this complex distributed environment is absolutely critical and it's just going to get more complex as we get more distributed. >>How can companies given the complexity? How can companies with these complicated I. T. Landscapes get ahead of some of these issues? >>One of the things that we really focused on making sure that you're getting ahead of those and you know we work with organizations like Splunk and Deloitte is how do we how do we collect all of the data? Not just a little bit of it, you know Splunk, help and Deloitte are helping us look across all of those places. We want to make sure that we can can really ingest everything that's out there and then let the tools like Splunk then use all of that data. We found a lot of organizations really struggle with that and with the retention of that data it's been a challenge. So those are things that we really worked hard on figuring out with organizations out there um how to how to ingest retain and then modernize how they do those things at the same time. >>I was reading the Splunk state of Security report which they surveyed over 500 security leaders I think it was over nine um global economies and they said 78% of security and I. T. Leaders worry 78% that they're going to be hit by something like solar winds. Um That style of attack Splunk saying security is a data problem but also looking at all this talk about being on the defensive and preventing attacks the threat landscape escaping companies also have to plan for growth. They have to plan for agility. How do you both help them accomplished? Both at the same time Casey will start with you. >>Well fundamentally on the security front you start with security by design. You're designing the logging the monitoring the defenses into the systems as they are being designed up front as opposed to adding them when you get to Um you know you 80 or production environment. So security by design much like devops and Fc cops is pushing that attitude towards security back earlier in the process so that each of the systems as we're developing them um have the defenses that are needed and have the logging that are embedded in them and the standards for logging so that you don't just get a lot of different kinds of data you get the data you actually need coming into the system and then setting up the correlation of that data so you can identify those threats early through a i through predictive analytics, you get to identify things more quickly. You know, it's all about reducing cycle times and getting better information by designing it in from the beginning, >>standing in from the beginning that shifting left Elias. What are your thoughts about this, enabling that defense, designing an upfront and also enabling organizations to have the agility to grow and expand? >>Yes, sort of reminded of something our friends with the Blue oval used to say in manufacturing quality isn't inspected, it's built in right and and two cases point you have to build it in. We've we've definitely worked with delight to do that and we've set up systems so that they have true agility. We've done things like container ice block with kubernetes uh you know, work with object storage. A lot of the new modern technologies that maybe organizations aren't quite accustomed to yet are still getting on board with. And so we wrap those up in our HP Green Lake managed services so that we can provide those things to organizations that aren't maybe aren't ready for them yet. But the threat landscape is such that you have to be able to do those things if you're not orchestrating these thousands and thousands of containers with something like kubernetes, it's just it becomes such a manual labor intensive process. And so that that labor intensive, non automated process. That's the thing that we're trying to remove. >>Well that's an inhibitor to growth, right number one there, let's go ahead and dig into the HP. Deloitte Splunk solution case. I'm going to go back over to, you talk to me about kind of the catalyst for developing the solution and then we'll dig into it in terms of what it's delivering. >>So Deloitte has had long term partnerships with both H B E and Splunk and we're very excited about working together with them on this solution. Um the HP Green Light, which is hardware by subscription, the flexibility of that platform, you know, the cost effectiveness of the platform. Be able to run workloads like Splunk on it that are constantly changing. You have peaks and valleys depending on, you know, how much work you're doing, how many logs are coming in and so being able to expand that environment quickly through containerized architecture, Oz Funk, which is what we worked on, um you know, with the HP Green Light team uh and and also with spunk so that we can Federated the workloads and everything that's going on on prem with workloads that are in the cloud and doing it very flexibly with the HP on prim platform as well as, you know, Splunk on google and Azure and Splunk cloud um and then having one pane of glass that goes across all of it has been very exciting. You know, we were getting lots of interest in the demo of what we've done on the Green light platform and the partnership has been going great, uh >>that single pane of glass is so critical. We talked about cloud complexity a few minutes ago, customers are dealing with so many different applications there now in this hybrid multi cloud world, it's probably only going to proliferate, Let's talk to me about H P. S perspective and how you're going to help reduce the cloud complexity that customers in every industry are facing. >>Yeah, so within the HP Green Lake umbrella of portfolio, we have set up our uh admiral container platform, for example, are Green Lake management services. We bring all these things together in a way that that really can accelerate applications uh that can make the magic that Deloitte does work underneath. And so when, when our friends at Deloitte go and build something, someone has to, has to bring that to life, has to run it for for our customers. And so that's what Hb Green Lake does, then we do that in a way that fundamentally aligns to the business cycles that go on. And so, uh you know, we think of cloud as an operating model, not necessarily just a physical destination. And so we work on prem Coehlo public hybrid Green Lake spans across all of those and can bring together in a way that really helps customers. We've seen so many times, they have these silos and islands of data. Um you know, you've got uh data being generated in the cloud. Well, you need Splunk in the cloud, you've got the energy generated in uh, Amelia, Well you've got spunk into me and so so Deloitte's really done some great things to help us put that together and then we, we underpin that with the, with the green like uh management services with our software and our infrastructure to make it all >>work. Yeah, Elias, one of the areas that you just mentioned is is one of the hottest trends that we've noticed out there. A lot of clients, you know, with the competition for skilled resources out there on the engineering side and operations are looking at managed services as an option to building, you know, their own technology, you know, hiring their own team, running it themselves and the work that we do with both on the security side as well as operations to provide managed services for our clients in collaboration with companies like HP E and running of the Green Lake platform platforms as well as one cloud, those combined services together and delivered as a managed service uh to our clients is an exciting trend out there that um, is increasingly seen as very cost effective for our clients >>saving cost is key case. I want to get your perspective on what you think differentiates this, this solution, the technology alliance, what are the differentiators in this from Deloitte's lens. >>So bringing the expertise of a company like HP and the flexibility and expand ability of the Green lake platform and the container ization that they've done with Israel, you know, it's, it's bringing that cloud like automation and virtual and flexibility to on uh, the on prem and the hybrid cloud solution combined with Splunk who is rapidly expanding not only what they do in the security space where the constantly changing security landscape out there, but also in observe ability application, performance management, um, Ai ops, um, you know, fully automated and integrated response to operational events that are out there. So HP is doing what they do really well and adapting to this new world. Splunk is constantly changing their products to make it easier for us to go after those operational issues. And Deloitte is coming in with both the industry and the technical experience to bring it all together, you know, how do you log the right things, you know, how do you identify, you know, the real signal versus the noise out there? You know, when you're collecting massive amounts of log data, you know, how do you make it actionable? How can you automate those actions? So by bringing together all three of these berms together, uh we can bring a much better, much, much more effective solutions to our clients in much shorter time frames, >>Shorter time frames are key given that one of the things we've learned in the last 18 months, is that real time is really business critical for companies in every industry unless I want to get your perspective from a technology lens, talk to me about the differentiators here, what this solution is three way alliance brings to your customers. >>Yeah, sure thing. We've done a lot of work with Deloitte and with Intel also on performance optimization, which is, is key for any application and that gets to what I mentioned earlier of bringing more data in some of the work that we've done with until we've able been able to accelerate Are the ingest rate of Splunk by about 17 times, which is pretty incredible. Uh, and that allows us to do more or do more with less and that can help reduce the cost. Also done a lot of work on the, on the setup side. So there's a lot of complexities in running a big enterprise application like Splunk. Um, it does a lot of great things but with that comes some complications for sure. And so, uh, a lot of the work that we've done is to help really make this production ready at scale disaster tolerance and bring all of those things together. And that >>requires a fair amount of >>work on the back end to make sure that we can, we can do that at scale and, and to be a, you know, to run, you know, in a way that businesses of significant size can take advantage of these things without having to worry about what happens if I lose a data center or what happens if I lose a region. Um And and to do those things with absolute assurance >>That's critical case you have a question for you. How will this solution help facilitate one of the positives that we've seen during the last 18 months and that is the strengthening of the IT security relationship. What are your thoughts there? >>I think one of the important things here is that the standardization and automation of what we're what we're bringing together you know so that security can monitor all the different things that are being configured because I can go in and look at the automation that it's creating them. So we have a very dynamic environment now with the new cloud based and virtualized environment so going in and manually configuring anything anymore. It's just not possible. Not when you're managing tens of thousands of servers out there. So security working together very closely with operations and collaborating on that automation so that the managed services are are configured right from the beginning as we talked about security about design. Operations by design in the beginning it's that early collaboration and that shift left that is giving us the very close collaboration that results in good telemetry, good visibility you know good reaction times on the other end. >>That collaboration is something that we've also seen is really a key theme that's emerged I think from all of us in every industry in the last 18 months. And I want to punt the last question to you and that's where can customers go to learn more information? How do they get started with this solution? >>A great way to get started is to reach out to our partners like Deloitte, they can help you on that journey. Hp. Es there, of course. Hp dot com. We have a number of white papers, collateral presentations, reference architecture is you name it, it's out there. But really every organization is unique. Every every challenge that we come up with always requires a little bit of hard thinking and and so that's why we have the partnership >>to be able to work with customers and collaborate. I'll say to really identify what their challenges are, how they help them in this very dynamic. No doubt continuing to be dynamic market. Thank you both so much for joining me talking to me about what Deloitte Splunk NHP are doing, how you're helping customers address that cloud complexity from the security lens, the operations lens. We appreciate your time. >>Thanks lisa. Thank you lisa tonight >>For my guests. I'm Lisa Martin, you're watching the cubes coverage of splunk.com 21. Yeah. Mhm
SUMMARY :
Elias Alanya Master Technologists Office of the North American C T O at H P Thank you lisa. some opportunities, some silver linings but some of the big challenges that organizations are facing management and the security logs and being able to monitor for your environment How can companies given the complexity? One of the things that we really focused on making sure that you're getting ahead of those and How do you both help them accomplished? into the systems as they are being designed up front as opposed to adding them when you get standing in from the beginning that shifting left Elias. A lot of the new modern technologies that I'm going to go back over to, you talk to me about kind of the with the HP on prim platform as well as, you know, Splunk on google and going to help reduce the cloud complexity that customers in every industry are facing. And so, uh you know, we think of cloud as an operating model, Yeah, Elias, one of the areas that you just mentioned is is one of the hottest trends I want to get your perspective on what you think and expand ability of the Green lake platform and the container ization that they've done with Israel, is that real time is really business critical for companies in every industry unless I want to get your perspective of bringing more data in some of the work that we've done with until we've able been able and to be a, you know, to run, you know, in a way that businesses one of the positives that we've seen during the last 18 months and that is the strengthening of the IT security and automation of what we're what we're bringing together you know so that And I want to punt the last question to you and that's where can customers a number of white papers, collateral presentations, reference architecture is you name Thank you both so much for joining me talking to me about what Deloitte Splunk NHP are doing, Thank you lisa tonight I'm Lisa Martin, you're watching the cubes coverage of splunk.com 21.
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Purna Doddapaneni, Bain & Company | UiPath FORWARD IV
>>from the bellagio hotel >>in Las Vegas, it's the cube covering Ui Path forward. Four brought to you >>by Ui Path. Welcome back from the bellagio in Las Vegas. The Cubans live at Ui Path forward for I'm lisa martin here with Dave Volonte. We're gonna be talking about roadblocks to automation and how to navigate around them, joining us next as Pernando Panini expert associate partner at bain and company per night. Welcome to the program. >>Thanks lisa. Happy to be here. >>Talk to us about some of the use cases that bain is working on with you I Path and then we'll dig into some of those roadblocks that you guys have uncovered. >>Yes. Uh I started a few months ago where we're working with Brandon who's the product lead on the Ui part side. We wanted to understand what's the state of citizen development and what are the blockers and how we should Both from the product side. But also on the automation journey side we need to dig deeper and understand where each of the clients and the employees are going through the journey together >>and if you look at it from the citizen developer perspective, what are some of those roadblocks? >>There are a few. So when like if you before we go to the roadblocks there are three main concerns or I would say critical groups that are involved in being successful with automation. The organization or bu leaders, the I. T. And employees. So each of the groups have different perceptions on like misconceptions or perceptions on benefits of automation and how to go up go about it. The blockers that we have seen where like a three sets of blockers. The first is cognitive where employees are unaware of automation on the benefits of automation and the second one is more organizational where organization leaders and how they feel about automation or how the how they think about employees when we introduce automation to them. One part of that is there is a misconception without nation leaders that employees are fearful of job loss when you introduce automation. What we have seen in our research is it's completely the opposite of employees are eager to adopt automation have given an opportunity, they are willing to upscale themselves and they are willing to save the time so that they can spend that on critical value added activities for um for their customers in the process. And a third blocker that we have seen is more on the product side where the some of the employees that we talked to as much as progress has been made by RPF vendors and local local vendors. It's still these tools are not intuitive user friendly for business users. They still feel they need to go through some training programs and have a better user friendly interface is >>what's the entry point she would organization first time I ever heard of Arpaio Years and years and years ago was at a CFO conference. Okay so that's cool. It seems like it forward for there's a lot more C. I. O presence here and that. Is that relatively new or did I just miss it before? >>It is relatively new. So like when we looked at like in the past few years the empty point has been someone in finance or I. T. Has heard about R. P. A. The benefits of head. They went and bought a handful of licenses and then they went and implemented it but it's just a handful of processes. It's not organizational wide. It has been mostly on a smaller sub scale of processes. And projects now that like organizations are realizing employees are asking and we are like slowly growing up with automation ceo es it's now it's intersecting with the C XL level of if it has to intersect with your or if you want to reinvent your business through automation, it has to come from the sea X level and that's where we're seeing more and more. See IOS are being involved in decisions on automation journeys, the technologies they have to buy and adopt for the business processes. >>So I. T. Can be an enabler of course. Also sometimes it can be a blocker. Um and you know, certainly from security standpoint governance etcetera. And so one of the things that we heard today in the keynotes was you don't want to automate the C I. O. He or she owns this application portfolio and everybody wants to do new projects because that's the fun stuff we heard from one CFO. Yeah. You add up all the NPV from the new projects. It's bigger than the valuation of the company. Right. But the C i O is stuck having to manage the infrastructure and all the processes around the existing application portfolio. One of things I heard today was don't automate an application or a process that you're trying to retire because we never get rid of stuff in it. So I wonder should automation like an enterprise wide automation? Should there be kind of an application rationalization exercise or a business process rationalization coincident with that >>initiative? Absolutely. I think that was one of the blockers that we have seen. Like some of the misconceptions and some of the blockers when I looked at it for them, they consider like you're bringing all these tools you're asking business users to like who haven't had haven't been trained in technology or programming, You're asking them to build these automation ins So one they have to manage with the all the applications and the tools for all that happens. And to manage these automation is after business users have either left the company or moved on. So it is essential for them to think through and provide a streamline tools it on on two aspects. one it needs to be as as you started off, it needs to be an enabler to provide them the specific tools that they can, they have already blessed. They've curated it which are ready for business consumption. A second part I can also do is providing collaboration platforms so that business users can learn from each other and from it so that they can one are developing the right processes with the right methodology that is governed by I. T. And no security or data governance issues. Come through. >>One of the things that you mentioned in terms of the three roadblocks ceo uncovered was that you were surprised that the results of the research showed that in fact employees are really wanting to adopt automation. In fact I think the stat is um 86% of employees want automation but only 30% of leaders are giving them the opportunity to use that. That's a big gap. Why do you think that is >>so a few things. Right. I mean as we talked about the three constituents that you have right one is automation leaders. If you consider from them. Their view is their employees are not capable of adopting or building on the automation is using these tools and they need technical skills. But the all the automation vendors have made progress and if you look at the tools today are much more user friendly and business users are willing to adopt. The second part as we talked about is like the fear of job loss from the employee standpoint. Whereas employees are looking at it as an opportunity for them to up skill but also eliminate the pain points that they have today in the day to day activities using the automation tools. And for them it is like this is helping them spend the time with the customers where it matters on critical value added activities versus going through reparative process of the journey. And the third part we talked about earlier with I. T. I. T. Has this notion that they need to build and develop anything technical. Business users will not be able to build or manage and they're also worried about the governance, the security and the third part which you brought up earlier is that tool sprawl, It's like we need to manage like this volume of tools that are coming in which is only adding to their plate of already busy busy workforce. >>I have one of those. It depends questions and it's a good consultant I'm sure you say well it depends but are there patterns best practice or even more than best pressures? Are there sort of play books if you will? And patterns? I'm sure it's situational. But are you seeing patterns emerge, you can say okay this sort of category should approach it this way. Here's another one in a different, maybe it's a department bottoms up top down, can you help us sort of squint through that? >>Yeah. So in terms of approaches like at least up till now the prevalent thing that is happening is like C. O. Es went and buy some licenses they talk about like opportunities that they have. So it's more of a top down driven uh like ceo driven agenda. What we're seeing now especially with citizen automation or democratisation of automation is there's a new approach of including employees into the journey and bringing the bottoms up approach. So there's a happy path where you marry up the top down approach with bottoms up and one you will find opportunities which are organizational wide with the bu leaders and they are ones which are on the long tail of opportunities which employees feel the pain but I. T. Or C. O. He doesn't have the time to come and implement or automate these activities. Um considering like one part we have seen which is increasingly helpful for people who have done this properly is including employees. And one thing we talked yesterday is invest in employees. They consider automation as investment in employees rather than something they're doing to employees. So it's kind of collaborating with employees to make progress which seems to be helping evangelize and also benefit with automation. How >>Have the events of the last 18 months impacted this as well, we've seen so much acceleration and the mandate for automation. What are some of the things that you've seen? >>Sure. So for us like even before the pandemic we've seen in our research so like more than close to 50% of the organizations that they started the automation journey were unable to achieve the savings or targets that they set themselves for whatever the success factors are. Which which hard. A few reasons one they didn't have the organizational support, not they were taking the end to end journey or a customer journey to figure out like what are these big opportunities that they can go through and they haven't included employees and to figure out what are the major pain points to go through the journey. One thing it was clear was with covid, no one expected this kind of disruption in a pan and a pandemic. There are a lot of offshore centres or like pretty much different geography is got disconnected from the work that's being done. You still need to support your customers, there is still a higher demand, what do you do? It's not like you can scale up your employees in a pandemic, that's where like we have seen increasing push towards automation and technology to see that can help and support and scale in a pandemic environment uh and also help your customers in the journey. >>So has in your opinion has automation become a mandate? Uh As a result of the pandemic >>I would say. Yeah I I would consider it's more of like now it's become a I would say uh business won a competitive differentiator to say like one I needed to keep my lights on and resiliency but also the companies have done really well they saw the advantage and they whether the pandemic better with the customers now they use that as a platform to create a competitive differentiation against their peers and push things forward. >>one of the things we heard of today and the keynotes is you got to think about my words, the life cycle, you don't just put in the bot and then just leave it alone. You really have to think through that. And that seems to me to be where you would help customers think through how to get the most return out of their investment. You I passed product company I think it's great. And so you talk about the value layer that you guys bring. >>So for us it's it's like when we talked to mostly be bringing from the business side of the house to understand what are the key drivers that you need to work on. I mean even before we talk about technology, we talk about, let's understand from the customer standpoint what is your customer journey into end and look through that journey lens and let's take the process and to end, let's look at redesigning process and making it more optimal and streamlined and where technology fits in. That's when we talk about like if it is an RPG or if it's a UI Path platform that can support, let's go through that journey versus taking the tool itself as the solution and trying to find every nail that you can hurt, which usually is not sustainable to your point. Like we need to think through the whole life cycle, make sure this is going to last. Or if you are retiring. Like in the ceo panel that was a discussion where that we need to think through when we are going to retire and make sure like we are in that journey versus building all these automation zor bringing all these tools and leaving them alone for I. T. To manage long term. >>No. Again the last 18 months. Again, question about the the um reactions catalyzed facilitated thinking about those three roadblocks. The cognitive roadblocks the organizational roadblocks since particularly what I'm interested in this question and product, what are some of the conversations that you've seen or trends that you seem to help those organizations better understand how to collaborate with each other so that what they're not doing is putting in our P. A point tools but really starting to build the right part of the nomination and and journey into their digital transformation plans. Yeah. >>I mean in a way to again, I'll go back to the three concerns that we talked earlier, right? It's it can only go so far and automate so much because they haven't seen the business lens of like how the processes are what they have to do and to end, which is where you need to involve the business leaders who can give you that view from the business side and employees who are seeing the work day to day and where they can eliminate the pain points. So the organisms that are successful, they are creating a collaborative environment between the three groups to push things forward. You >>have to have that collaboration that's critical. Otherwise, that's probably one of the road blockers as well. >>Yeah, absolutely. >>Where does automation fit? I mean you're obviously heavily into automation, but let's think about the bane portfolio, the boardroom discussions. Where does automation fit? I mean there's security, there's how do we embed ai into our business? How do we sas if I our business um how do we do transform digitally? Where's automation fit in that hole discourse? >>So I think the automation is like at the heart of digital transformation, the part which we have seen where the gap is is not taking the business angle and actually thinking through the process and to end versus picking up a tool and trying to go solve a problem or find a problem to solve. And that's where we think in our discussions with boardrooms, it's more of let's think through how you want to reimagine your company or how you want to be more competitive looking into the future and like walk back from that standpoint and then started part from, I mean, the way we call it the future back like where you are today and now, like let's go forward and to what your end status and where technology broadly a digital tools and where automation fits in the process. >>How do you see what you i path is talking about at this conference? The announcements from yesterday? There's a lot of people here which is fantastic. How do you see what they're announcing? The vision that they set out a couple years ago that they're now delivering on. How is that a facilitator of organizations removing those roadblocks? Because as you said automation is a huge competitive differentiator these days and If we've learned nothing in the last 19 months you gotta you gotta be careful because there's always a competitor in the rear view mirror who might be smaller faster more agile ready to take your place. >>Yeah so like a few things that we've seen in the product roadmap that you talked about is they are providing the collaboration platform or tools where the I. T. Business owners can work through. Like for automation hub is what they talked at length yesterday is that's the platform where business users can provide their ideas. Like you provide process mining tools which can capture the process and the business users understand the process and they are the ones who are putting in an opportunity on the road map. So you have now a platform where all the ideas are being catalogued and once you implement they're being tracked on the automation hub so that that is providing a platform for everyone to collaborate together. The second one which Brandon talked yesterday is the tool itself for Studio X. When we're talking about citizen developers, employees trying to use and make it more user friendly. Is that where the Studio X which is providing that you are interface? Which is easy intuitive for business users to build basic automation is and try to take that long tail of opportunities that we talked about. So all these tools are coming together as one platform play, which you ipod has been talking about all through the conference and that is critical for everyone to collaborate to make a progress versus only thinking it's an easy job to implement the automation opportunities. That >>collaboration is business critical these days. Right. Thank you for joining David me and the program talking about some of the roadblocks that you've uncovered, but also some of the ways that organizations in any industry can navigate around them and really empower those employees who want automation in their jobs. We appreciate your insights. >>Happy to be here. Thanks for having us. You're welcome >>for day Volonte. I'm lisa martin live in las Vegas at UI Path forward for we'll be right back with our next guest. Yeah. >>Yeah. Mm. Mhm
SUMMARY :
Four brought to you We're gonna be talking about roadblocks to automation and how to navigate around them, Happy to be here. Talk to us about some of the use cases that bain is working on with you I Path and then we'll dig But also on the automation journey side we need to dig deeper and understand where of the employees that we talked to as much as progress has been made by RPF Is that relatively new or did I just miss it before? the C XL level of if it has to intersect with your or if you And so one of the things that we heard today in the keynotes was you don't want to automate the one it needs to be as as you started off, One of the things that you mentioned in terms of the three roadblocks ceo uncovered was that you were surprised the governance, the security and the third part which you brought up earlier is that tool sprawl, But are you seeing patterns emerge, you can say okay this sort feel the pain but I. T. Or C. O. He doesn't have the time to come What are some of the things that you've seen? the end to end journey or a customer journey to figure out like what are these big opportunities that they can go through advantage and they whether the pandemic better with the customers now they use that as one of the things we heard of today and the keynotes is you got to think about my words, as the solution and trying to find every nail that you can hurt, which usually is not sustainable to The cognitive roadblocks the organizational roadblocks since particularly what I'm interested in this question and product, So the organisms that are successful, they are creating a collaborative environment between the three groups to Otherwise, that's probably one of the road blockers as well. portfolio, the boardroom discussions. I mean, the way we call it the future back like where you are today and now, like let's go forward and to what your How do you see what you i path is talking about at this conference? on the automation hub so that that is providing a platform for everyone to collaborate together. program talking about some of the roadblocks that you've uncovered, but also some of the ways that organizations in any Happy to be here. with our next guest.
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Mark Geene, UiPath & Peter Villeroy, UiPath | UiPath FORWARD IV
>>from the bellagio hotel in Las Vegas >>it's the >>cube >>covering Ui >>Path Forward four brought to you >>by Ui Path. >>Welcome back to las Vegas. The cube is live with you. I Path forward four at the bellagio lisa martin with Dave Volonte. We're gonna be talking about you I Path integration suite, we have a couple of guests joining us here. Mark Jeannie is here the GM of Ui Path, formerly the co founder and Ceo of cloud elements and Peter Villeroy also joins us Director of Global I. T. Automation practice at UI Path guys welcome to the program. >>Thanks lisa. Great to hear. >>So Mark, let's go ahead and start with you. The Cloud elements acquisition was done in about the last six months. Talk to us about why you chose to be acquired by Ui Path and where things are today. Some big announcements yesterday. >>Yeah absolutely. So yeah if you go back six months ago um you know we have been in conversations with you I Path for for quite a while and um you know as we were looking at our opportunities as an api integration platform. So cloud elements just to step back a little bit um was a leader in helping companies take a P. I. S integrate applications together and bed that into their into their apps and um you know I Path approached us about the combination of what's happening in the automation world and you know these these have been a society as the marine Fleming from I. D. C. Mentioned this morning integration and DARPA have been separate swim lanes and what we saw and what you I. Path approaches with was ability to combine these together and really be the first company to take and take ui automation and seamlessly connected together with A. P. I. Automation or api integration >>Peter What's been some of the feedback? We know you guys are more than 9000 customers strong now we've had a whole bunch of amount yesterday and today. What's been the feedback so far on the cloud elements acquisition? So >>there's a huge amount of interest. We've had very positive feedback on that lisa the combination of Ui driven automation and A. P. I. Uh Native Integrations is is key especially to the I. T. Leadership that I work with. Um some of whom have traditionally compartmentalized you ipads platform in the Ui space and legitimately think about their own internal processes as being having very little to do with the user interface right. And so combining Ui driven automation together with uh api integration really helps too pick them up where they are and show them the power of that kind of a hyper automation platform that can deliver value in a number of spaces. And you guys ever >>see the movie Blindside? All right. You know what I'm talking about with joe. Theismann gets hit from the blind side and then his career is over and and that's when people realized oh my gosh the left tackle for right handed quarterback is so important and it's subsequent drafts when somebody would pick a left tackle like a good left all the rest went and that's what's happening in in the automation business today. You guys took the lead, you you set the trend. People said wow this is actually going to be a huge market. And then now we're seeing all this gonna occur. And a lot of it from these big software companies who believe every dollar of software should go to them saying hey we can actually profit from this within our own vertical stacks. So what do you make of all the M. And A. That's going on in particular? There was one recently where private equity firm is mashing together a long time R. P. A vendor with a long time integration firm. So it looks like you guys, you know on the right >>side of history in this regard. Your thoughts. Yeah. Absolutely. I mean if you think about automation right you've got to obviously help people do their jobs better. But if you're going to automate a process and a department you needed connect the applications that they use that those people use otherwise you can't accomplish it. And where ap is fit in as is automation and ui automation has become more and more mission critical and it's become bigger and bigger part of enterprise I. T. Wants to get involved. And so enterprise gets involved and what's their stack. It's api based their technology stack is how you connect back is through api so more and more companies are seeing what you I path saw is that if you're gonna automate every process and every department for every person you need to connect to every application that they're using and that's why this is now becoming right. Three companies now just recently have done these types of acquisitions of bringing an integration platform in and combining them together are trying to combine them together. >>All mps are not created equally as we know. Some are sort of half baked lot of them. Many of them don't have decent documentation so there's sort of a spectrum there. How do you, how do you think about prioritizing? How do you think about the landscape? Do you just kind of ignore the stuff that's not well documented and eventually that will take care of itself. How should we think about there have always >>been layers of integration right. Especially working with the ICTy organizations. So you've got our native integrations would make it easy to drag and drop activities and then you've got the A. P. I. Is that we can consume with various activities. That area has really grown through the acquisition of cloud elements and then you've got that third layer where when all else fails, you go on to the user interface and interact with the application like a human does and what you see is that our our interaction with college elements really enables a great enhancement of that lower base level um which is mildly interesting to the lines of business very important. I Yeah, for sure. >>So the reason I asked that question is I was talking to one of your customers this big ASAP customers said I love you ipad. The problem I have is I got so many custom mods and so it's just you know orally documented and I can't I wanna put automation in there but I can't. So to those parts of the tech stack become like the main frame of you know what I mean? And just sort of they live there and they just keep doing their thing but there's so much innovation that pops up around it. How do you how do you see that? >>Well that's part of the agility that comes with the platform like you ipads is that you can interact with the very clean uh swagger documented restful aPI s and you can interact with SCP on their proprietary ages old A. P. I. S. Um Those are things that we've traditionally done decently well, but again through this acquisition we could do that on a grander scale um with bidirectional triggering and all the goodness that you >>solve that problem today that your customer and this is a couple of years ago, you can solve that problem with cloud elements. Is that right? >>Yeah, absolutely. The the ability to integrate too these enterprise platforms like ASAP you need multiple tools to do the job. Right. So ui automation is great but if you've customized ui significantly or other things like that then the A. P. I can be a great structure for it and other cases where um that api provides a resiliency in a in a scale to it that um opens up new processes as well to those corporate systems. Right? So the balance of being able to bring these two worlds together is where you can unlock more because you got >>east west automation >>that's very good overhead and now >>you're going north south with cloud elements is deeper. Right, >>bottom line from the VP of its point of view, the more that can be done from a machine to machine communication the better. So sure. >>What's the opportunity for the existing cloud elements customers to take advantage of here? >>Yeah, absolutely. Um We've continued to support, brought our customers over with us. Uh Part of our customer base has actually been a significant number of software customers. Uh cos S. A. P. S. One of them doc you sign gain site, you know, so household names in the world of software as well as large financial services institutions like US Bank and Capital One and american Express, all of them had that common need where um they wanted to have an api centric approach to being able to connect to customers and partners and leverage our platform to do that. So we will continue to support that extend that. But we see opportunities where again we couldn't automate everything for our customers just threw a PS And uh you know for example one of our major financial services institutions were working with wants to take um and provide a robot for their uh customers and commercial payments to be able to automatically kick off in A. P. I. And so that seamless integration where we can combine that automation with robots leveraging and kicking off a P. I. S automatically takes us further into automating those processes for those >>customers. So you guys six months right. Uh talk about how that integration api integration company better gone smoothly. But what was that like you guys are getting the knack of M and a talk about that, what you learn maybe what you would do differently to even accelerate further, How'd it go? Uh >>That's the best answer from you having been on the >>acquisition side. Um Well we how well it went is six months later, which I think is really unheard of in the technology world, we're introducing our combined offering you I Path integration service that essentially takes what cloud elements built embeds it right into automation. Cloud studio in the Ui Path products. We and uh it's been a global effort. Right? So we had the Ui Path team was based in Hyderabad Denver and Dallas and then we've got um Ui Path engineers working with that cloud elements team that are in Bucharest Bellevue and bangalore and with the miracles of zoom and uh that type of thing, never meeting anyone in person, we were able to integrate the product together and launch it here today >>six months is a fast turnaround time frame was how much of that was accelerated by the, by the fact of the global situation that we're in. >>Yeah, well you know in some respects that that helped right? Because we um um we didn't have to waste time traveling and we could hop on zoom calls instantly. We spent a lot of time even over zoom making sure there was a cultural fit. You I path has a, you know, not only the humble, bold and type of values but it's a very collaborative environment, very open and collaborative environment as Brent can attest to. And that collaboration, I think in that spirit of collaboration really helped us feel welcome and move quickly to pull this together. And also >>the necessity is the mother of innovation right. Uh you ipad traditionally being popular in the CFOs organization were becoming the C I O s best friend and the timing was right to introduce this kind of capability to combine with what we traditionally do well and really move into their picking up like I said the customer where they are and leading them into that fully end to end automation capability and this was integral. So it wasn't time to kick the tires but to get moving >>and my right, there's a governance play here as well because I. T. Is kind of generally responsible for governance if you make it easier for them to whatever governance systems they're using >>governance privacy >>security that now you can just connect. They don't have to rip and replace. Is there an angle there? >>Sure, yeah. So nothing is more important than I. T. Than than control and governments and change management and half of the uh conversations we're having out there on the floor are around that right um uh ensuring that all of the good governance is in place um and we have a lot of the uh integrations and frameworks necessary to help that through your devops pipeline and doing proper ci cd and test automation um and you know introducing that integration layer in addition to what we already have just helps all of that to uh move more smoothly and bring more value to our customers. >>Mark talk to me about some of the feedback from customers that you mentioned, doc Watson. S A P probably I imagine joint customers with you. I path now there you're working together, what's the what's in it for them? >>Yeah, no the feedback has been tremendous. Right, so um api automation is not new to you. I path but customers have been asking for more capability. So one of them is in that governance area that we were just talking about, right, the ability to create connections centrally enable them disable them. Right? You got mission critical corporate applications. You want to be able to make sure that those applications are being controlled and monitored. Right? So that was one aspect. And by bringing this as a cloud based service, we can accomplish that. Um the other area is that this eventing capability, the ability to kick off workflows and processes based on changes to corporate applications, a new employees added in workday. I want to kick off a process to onboard that new employee and that triggered eventing service has been really well received and then um yeah, so that I'd say with the ability to also create new connections more simply was the third big factor. Uh we created a standardized authentication service. So no matter where you are in the UI Path product line, you get a consistent way to create a new connection, whether it's a personal connection by a business user too, you know, google docs or Microsoft office or your C O E R I T. Creating a connection to uh an important corporate system. >>How about the partner? I know you guys had partner day here leading into forward for they must be stoked about this gives you a lever to even add new partners. What was those >>conversations like? Yeah, yeah, no, absolutely. The partners are excited about those same features but um they're also excited about something in our roadmap which we expect to be previewing early next year and that's a connector builder. So the ability for partners to uh more quickly than ever create their own connectors. That'll work just like first party connectors that we ui Path build and add them into catalogs, share them in the market place. So there's new revenue opportunities, new opportunities for partners to create reusable assets that they can leverage and yeah so um lots of things, lots of work to continue to do, right? It's only been six months and uh but that's that's gonna be a big initiative going forward. >>So integration service as you mentioned, announced at this conference, we know that that's the first step obviously accomplished as we also talked about very quickly in a six month time period. But what does the future hold for api automation and integration service? >>So um one of the key areas just continue to expose the integration service um more broadly in the Ui Path product portfolio. Now that we have this service, more Ui Path products will be able to leverage it. Right? We're starting off with studio and orchestrator but that we can all use and share that common common capability. Um The other is to make access to complex business systems easier. So you think about it right. A uh to get a purchase order from net suite might take five or six api calls to do. Well, a citizen developer doesn't know what those five or six things you have to do. So we'll be creating these business activities or just get me open purchase orders that will work seamlessly in the studio product. And behind the scenes. Well, chain together those 56 aPI calls to make that a simple process. Right? So taking the integration service and making it even more powerful tool for that citizen developer than nontechnical user as well. So that's >>development work you're going to do. >>That's what we're gonna do as well as enable partners to do as well. So it's a key part of our road map over time. Because >>yeah I mean the partner pieces key because when net suite changes how it you're creating that abstraction layer. So but that's value add for the partners. >>Absolutely. And they have that domain expertise, right. They can create assets, leveraging the UI path automation capabilities but also bring their knowledge about A. S. A. P. Or workday and those oracle ebs and those core business systems and then combine that together into assets that enhance integration service that they build and I can I can share with their customers and share with our market >>because the work workday developer is going to know about that well ahead of time. No, >>it's coming and they know better than we do. Right. That's their business. That's what they know really well. >>Nice nice value at opportunity, peter >>One of the things that you iPad has been known for is its being very and I've said this on the program the last two days, that's being a good use case for land and expand. You guys have 70% of revenue that comes from existing customers. Talk to me about the cloud elements acquisition as a facilitator of because you kind of mentioned, you know, we're used to be really in bed with the cfos now we're going to see us and we've heard from a number of your customers where they started in finance and it's now Enterprise White, how is this going to help facilitate that? Even more? >>It really helps, you know, touching on what Mark just mentioned about the citizen developer, right, just as one of many examples, the empowerment of end users to automate things for themselves um is critical to that land and expand um successes that we've been seeing and where from an I. T standpoint, the frustration with the citizen developer is, you know, maybe what they're building isn't so top notch right? It works for themselves. What we can't replicate that, but put making it easy to make api integration part of what they do in studio X is so key to enhancing also the reusability of what's coming out of there. So that c uh C O E S can replicate that across teams are globally within their organization and that's part of land and expand because you may find something that's valuable in one line of business replicates easily into another line of business if the tool set is in place >>pretty powerful model lisa >>it is guys. Thanks so much for joining us today, talking about the club elements acquisition, what you're uh, doing with integration service, What's to come the opportunities in it for both sides and your partners? We appreciate your time. >>Great. Thank you. Thank you very much. I >>appreciate it. Thank you for >>David Want I'm lisa martin. You're watching the cube live in las Vegas at the bellagio Ui Path forward for stick around. We'll be right back. Yeah. Mhm. Mhm mm.
SUMMARY :
We're gonna be talking about you I Path integration suite, Great to hear. Talk to us about why you chose to be acquired in the automation world and you know these these have been a society as the marine We know you guys are more than 9000 customers strong now we've had a whole bunch And you guys ever So what do you make of all the M. api so more and more companies are seeing what you I path saw is that if How do you think about the landscape? and interact with the application like a human does and what you see is that our our of the tech stack become like the main frame of you know what I Well that's part of the agility that comes with the platform like you ipads is that you can interact you can solve that problem with cloud elements. So the balance of being able to bring these two worlds together is you're going north south with cloud elements is deeper. bottom line from the VP of its point of view, the more that can be done from a machine to Uh cos S. A. P. S. One of them doc you sign the knack of M and a talk about that, what you learn maybe what you I Path integration service that essentially takes what cloud elements built embeds it by the fact of the global situation that we're in. Yeah, well you know in some respects that that helped right? Uh you ipad and my right, there's a governance play here as well because I. T. Is kind of generally responsible for governance if you make it easier security that now you can just connect. and half of the uh conversations we're having out there on the floor are around that right um Mark talk to me about some of the feedback from customers that you mentioned, doc Watson. So no matter where you are in the UI Path product line, you get a consistent way I know you guys had partner day here leading into forward So the ability for partners to uh more quickly than So integration service as you mentioned, announced at this conference, we know that that's the first step So you think about it right. So it's a key part of So but that's value add for the partners. service that they build and I can I can share with their customers and share with our market because the work workday developer is going to know about that well ahead of time. it's coming and they know better than we do. One of the things that you iPad has been known for is its being very and I've said this on the program the last two days, and that's part of land and expand because you may find something that's valuable in one line of business replicates what you're uh, doing with integration service, What's to come the opportunities in it for both Thank you very much. Thank you for David Want I'm lisa martin.
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Sandy Carter, AWS | AWS Summit DC 2021
>>text, you know, consumer opens up their iphone and says, oh my gosh, I love the technology behind my eyes. What's it been like being on the shark tank? You know, filming is fun, hang out, just fun and it's fun to be a celebrity at first your head gets really big and you get a good tables at restaurants who says texas has got a little possess more skin in the game today in charge of his destiny robert Hirschbeck, No stars. Here is CUBA alumni. Yeah, okay. >>Hi. I'm john Ferry, the co founder of silicon angle Media and co host of the cube. I've been in the tech business since I was 19 1st programming on many computers in a large enterprise and then worked at IBM and Hewlett Packard total of nine years in the enterprise brian's jobs from programming, Training, consulting and ultimately as an executive salesperson and then started my first company with 1997 and moved to Silicon Valley in 1999. I've been here ever since. I've always loved technology and I love covering you know, emerging technology as trained as a software developer and love business and I love the impact of software and technology to business to me creating technology that starts the company and creates value and jobs is probably the most rewarding things I've ever been involved in. And I bring that energy to the queue because the Cubans were all the ideas are and what the experts are, where the people are and I think what's most exciting about the cube is that we get to talk to people who are making things happen, entrepreneur ceo of companies, venture capitalists, people who are really on a day in and day out basis, building great companies and the technology business is just not a lot of real time live tv coverage and, and the cube is a non linear tv operation. We do everything that the T. V guys on cable don't do. We do longer interviews. We asked tougher questions, we ask sometimes some light questions. We talked about the person and what they feel about. It's not prompted and scripted. It's a conversation authentic And for shows that have the Cube coverage and makes the show buzz. That creates excitement. More importantly, it creates great content, great digital assets that can be shared instantaneously to the world. Over 31 million people have viewed the cube and that is the result. Great content, great conversations and I'm so proud to be part of you with great team. Hi, I'm john ferrier. Thanks for watching the cube. >>Hello and welcome to the cube. We are here live on the ground in the expo floor of a live event. The AWS public sector summit. I'm john for your host of the cube. We're here for the next two days. Wall to wall coverage. I'm here with Sandy carter to kick off the event. Vice president partner as partners on AWS public sector. Great to see you Sandy, >>so great to see you john live and in person, right? >>I'm excited. I'm jumping out of my chair because I did a, I did a twitter periscope yesterday and said a live event and all the comments are, oh my God, an expo floor a real events. Congratulations. >>True. Yeah. We're so excited yesterday. We had our partner day and we sold out the event. It was rock them and pack them and we had to turn people away. So what a great experience. Right, >>Well, I'm excited. People are actually happy. We tried, we tried covering mobile world congress in Barcelona. Still, people were there, people felt good here at same vibe. People are excited to be in person. You get all your partners here. You guys have had had an amazing year. Congratulations. We did a couple awards show with you guys. But I think the big story is the amazon services for the partners. Public sector has been a real game changer. I mean we talked about it before, but again, it continues to happen. What's the update? >>Yeah, well we had, so there's lots of announcements. So let me start out with some really cool growth things because I know you're a big growth guy. So we announced here at the conference yesterday that our government competency program for partners is now the number one industry in AWS for are the competency. That's a huge deal. Government is growing so fast. We saw that during the pandemic, everybody was moving to the cloud and it's just affirmation with the government competency now taking that number one position across AWS. So not across public sector across AWS and then one of our fastest growing areas as well as health care. So we now have an A. T. O. Authority to operate for HIPPA and Hi trust and that's now our fastest growing area with 85% growth. So I love that new news about the growth that we're seeing in public sector and all the energy that's going into the cloud and beyond. >>You know, one of the things that we talked about before and another Cuban of you. But I want to get your reaction now current state of the art now in the moment the pandemic has highlighted the antiquated outdated systems and highlighted help inadequate. They are cloud. You guys have done an amazing job to stand up value quickly now we're in a hybrid world. So you've got hybrid automation ai driving a complete change and it's happening pretty quick. What's the new things that you guys are seeing that's emerging? Obviously a steady state of more growth. But what's the big success programs that you're seeing right now? >>Well, there's a few new programs that we're seeing that have really taken off. So one is called proserve ready. We announced yesterday that it's now G. A. And the U. S. And a media and why that's so important is that our proserve team a lot of times when they're doing contracts, they run out of resources and so they need to tap on the shoulder some partners to come and help them. And the customers told us that they wanted them to be pro served ready so to have that badge of honor if you would that they're using the same template, the same best practices that we use as well. And so we're seeing that as a big value creator for our partners, but also for our customers because now those partners are being trained by us and really helping to be mentored on the job training as they go. Very powerful program. >>Well, one of the things that really impressed by and I've talked to some of your MSP partners on the floor here as they walk by, they see the cube, they're all doing well. They're all happy. They got a spring in their step. And the thing is that this public private partnerships is a real trend we've been talking about for a while. More people in the public sector saying, hey, I want I need a commercial relationship, not the old school, you know, we're public. We have all these rules. There's more collaboration. Can you share your thoughts on how you see that evolving? Because now the partners in the public sector are partnering closer than ever before. >>Yeah, it's really um, I think it's really fascinating because a lot of our new partners are actually commercial partners that are now choosing to add a public sector practice with them. And I think a lot of that is because of these public and private partnerships. So let me give you an example space. So we were at the space symposium our first time ever for a W. S at the space symposium and what we found was there were partners, they're like orbital insight who's bringing data from satellites, There are public sector partner, but that data is being used for insurance companies being used for agriculture being used to impact environment. So I think a lot of those public private partnerships are strengthening as we go through Covid or have like getting alec of it. And we do see a lot of push in that area. >>Talk about health care because health care is again changing radically. We talked to customers all the time. They're like, they have a lot of legacy systems but they can't just throw them away. So cloud native aligns well with health care. >>It does. And in fact, you know, if you think about health care, most health care, they don't build solutions themselves, they depend on partners to build them. So they do the customer doesn't buy and the partner does the build. So it's a great and exciting area for our partners. We just launched a new program called the mission accelerator program. It's in beta and that program is really fascinating because our healthcare partners, our government partners and more now can use these accelerators that maybe isolate a common area like um digital analytics for health care and they can reuse those. So it's pretty, I think it's really exciting today as we think about the potential health care and beyond. >>You know, one of the challenge that I always thought you had that you guys do a good job on, I'd love to get your reaction to now is there's more and more people who want to partner with you than ever before. And sometimes it hasn't always been easy in the old days like to get fed ramp certified or even deal with public sector. If you were a commercial vendor, you guys have done a lot with accelerating certifications. Where are you on that spectrum now, what's next? What's the next wave of partner onboarding or what's the partner trends around the opportunities in public sector? >>Well, one of the new things that we announced, we have tested out in the U. S. You know, that's the amazon way, right, Andy's way, you tested your experiment. If it works, you roll it out, we have a concierge program now to help a lot of those new partners get inundated into public sector. And so it's basically, I'm gonna hold your hand just like at a hotel. I would go up and say, hey, can you direct me to the right restaurant or to the right museum, we do the same thing, we hand hold people through that process. Um, if you don't want to do that, we also have a new program called navigate which is built for brand new partners. And what that enables our partners to do is to kind of be guided through that process. So you are right. We have so many partners now who want to come and grow with us that it's really essential that we provide a great partner, experienced a how to on board. >>Yeah. And the A. P. M. Was the amazon partner network also has a lot of crossover. You see a lot a lot of that going on because the cloud, it's you can do both. >>Absolutely. And I think it's really, you know, we leverage all of the ap in programs that exist today. So for example, there was just a new program that was put out for a growth rebate and that was driven by the A. P. N. And we're leveraging and using that in public sector too. So there's a lot of prosecutes going on to make it easier for our partners to do business with us. >>So I have to ask you on a personal note, I know we've talked about before, your very comfortable the virtual now hybrid space. How's your team doing? How's the structure looks like, what are your goals, what are you excited about? >>Well, I think I have the greatest team ever. So of course I'm excited about our team and we are working in this new hybrid world. So it is a change for everybody uh the other day we had some people in the office and some people calling in virtually so how to manage that, right was really quite interesting. Our goals that we align our whole team around and we talked a little bit about this yesterday are around mission which are the solution areas migration, so getting everything to the cloud and then in the cloud, we talk about modernization, are you gonna use Ai Ml or I O T? And we actually just announced a new program around that to to help out IOT partners to really build and understand that data that's coming in from I O T I D C says that that idea that IOT data has increased by four times uh in the, during the covid period. So there's so many more partners who need help. >>There's a huge shift going on and you know, we always try to explain on the cube. Dave and I talked about a lot and it's re platform with the cloud, which is not just lift and shift you kind of move and then re platform then re factoring your business and there's a nuance there between re platform in which is great. Take advantage of cloud scale. But the re factoring allows for this unique advantage of these high level services. >>That's right >>and this is where people are winning. What's your reaction to that? >>Oh, I completely agree. I think this whole area of modernizing your application, like we have a lot of folks who are doing mainframe migrations and to your point if they just lift what they had in COBOL and they move it to a W S, there's really not a lot of value there, but when they rewrite the code, when they re factor the code, that's where we're seeing tremendous breakthrough momentum with our partner community, you know, Deloitte is one of our top partners with our mainframe migration. They have both our technology and our consulting um, mainframe migration competency there to one of the other things I think you would be interested in is in our session yesterday we just completed some research with r C T O s and we talked about the next mega trends that are coming around Web three dato. And I'm sure you've been hearing a lot about web www dot right? Yeah, >>0.04.0, it's all moving too fast. I mean it's moving >>fast. And so some of the things we talked to our partners about yesterday are like the metaverse that's coming. So you talked about health care yesterday electronic caregiver announced an entire application for virtual caregivers in the metaverse. We talked about Blockchain, you know, and the rise of Blockchain yesterday, we had a whole set of meetings, everybody was talking about Blockchain because now you've got El Salvador Panama Ukraine who have all adopted Bitcoin which is built on the Blockchain. So there are some really exciting things going on in technology and public sector. >>It's a societal shift and I think the confluence of tech user experience data, new, decentralized ways of changing society. You're in the middle of it. >>We are and our partners are in the middle of it and data data, data data, that's what I would say. Everybody is using data. You and I even talked about how you guys are using data. Data is really a hot topic and we we're really trying to help our partners figure out just how to migrate the data to the cloud but also to use that analytics and machine learning on it too. Well, >>thanks for sharing the data here on our opening segment. The insights we will be getting out of the Great Sandy. Great to see you got a couple more interviews with you. Thanks for coming on. I appreciate you And thanks for all your support. You guys are doing great. Your partners are happy you're on a great wave. Congratulations. Thank you, john appreciate more coverage from the queue here. Neither is public sector summit. We'll be right back. Mhm Yeah. >>Mhm. Mhm robert Herjavec. People obviously know you from shark tank
SUMMARY :
What's it been like being on the shark tank? We do everything that the T. V guys on cable don't do. We are here live on the ground in the expo floor of a live event. a live event and all the comments are, oh my God, an expo floor a real events. out the event. We did a couple awards show with you guys. We saw that during the pandemic, You know, one of the things that we talked about before and another Cuban of you. And the customers told us that they wanted them to be pro served ready so to have that badge of honor if Well, one of the things that really impressed by and I've talked to some of your MSP partners on the floor here as they walk by, So I think a lot of those public private partnerships are strengthening as we go through Covid or have We talked to customers all the time. And in fact, you know, if you think about health care, most health care, You know, one of the challenge that I always thought you had that you guys do a good job on, I'd love to get your reaction to Well, one of the new things that we announced, we have tested out in the U. S. You know, that's the amazon way, You see a lot a lot of that going on because the cloud, it's you to make it easier for our partners to do business with us. So I have to ask you on a personal note, I know we've talked about before, your very comfortable the virtual now So of course I'm excited about our team and we are working it's re platform with the cloud, which is not just lift and shift you kind of move and What's your reaction to that? there to one of the other things I think you would be interested in is in our session yesterday we I mean it's moving And so some of the things we talked to our partners about yesterday are like You're in the middle of it. We are and our partners are in the middle of it and data data, Great to see you got a couple more interviews with you. People obviously know you from shark tank
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Keith Brooks, AWS | AWS Summit DC 2021
>>Yeah. Hello and welcome back to the cubes coverage of AWS public sector summit here in Washington D. C. We're live on the ground for two days. Face to face conference and expo hall and everything here but keith brooks who is the director and head of technical business development for a dress government Govcloud selling brains 10th birthday. Congratulations. Welcome to the cube. Thank you john happy to be E. C. 2 15 S three is 9.5 or no, that maybe they're 10 because that's the same day as sqs So Govcloud. 10 years, 20 years. What time >>flies? 10 years? >>Big milestone. Congratulations. A lot of history involved in Govcloud. Yes. Take us through what's the current situation? >>Yeah. So um let's start with what it is just for the viewers that may not be familiar. So AWS Govcloud is isolated. AWS cloud infrastructure and services that were purposely built for our U. S. Government customers that had highly sensitive data or highly regulated data or applications and workloads that they wanted to move to the cloud. So we gave customers the ability to do that with AWS Govcloud. It is subject to the fed ramp I and D O D S R G I L four L five baselines. It gives customers the ability to address ITAR requirements as well as Seaga's N'est ce MMC and Phipps requirements and gives customers a multi region architecture that allows them to also designed for disaster recovery and high availability in terms of why we built it. It starts with our customers. It was pretty clear from the government that they needed a highly secure and highly compliant cloud infrastructure to innovate ahead of demand and that's what we delivered. So back in august of 2011 we launched AWS GovCloud which gave customers the best of breed in terms of high technology, high security, high compliance in the cloud to allow them to innovate for their mission critical workloads. Who >>was some of the early customers when you guys launched after the C. I. A deal intelligence community is a big one but some of the early customers. >>So the Department of Health and Human Services, the Department of Veterans Affairs, the Department of Justice and the Department of Defense were all early users of AWS GovCloud. But one of our earliest lighthouse customers was the Nasa jet propulsion laboratory and Nasa Jpl used AWS GovCloud to procure Procure resources ahead of demand which allowed them to save money and also take advantage of being efficient and only paying for what they needed. But they went beyond just I. T. Operations. They also looked at how do they use the cloud and specifically GovCloud for their mission programs. So if you think back to all the way to 2012 with the mars curiosity rover, Nasa Jpl actually streamed and processed and stored that data from the curiosity rover on AWS Govcloud They actually streamed over 150 terabytes of data responded to over 80,000 requests per second and took it beyond just imagery. They actually did high performance compute and data analytics on the data as well. That led to additional efficiencies for future. Over there >>were entire kicking they were actually >>hard core missing into it. Mission critical workloads that also adhere to itar compliance which is why they used AWS GovCloud. >>All these compliance. So there's also these levels. I remember when I was working on the jetty uh stories that were out there was always like level for those different classifications. What does all that mean like? And then this highly available data and highly high availability all these words mean something in these top secret clouds. Can you take us through kind of meetings >>of those? Yeah absolutely. So it starts with the federal compliance program and the two most popular programs are Fed ramp and Dodi srg fed ramp is more general for federal government agencies. There are three levels low moderate and high in the short and skinny of those levels is how they align to the fisma requirements of the government. So there's fisma low fisma moderate fisma high depending on the sensitivity of the government data you will have to align to those levels of Fed ramp to use workloads and store data in the cloud. Similar story for D. O. D. With srg impact levels to 45 and six uh impacts levels to four and five are all for unclassified data. Level two is for less sensitive public defense data levels. Four and five cover more sensitive defense data to include mission critical national security systems and impact level six is for classified information. So those form the basis of security and compliance, luckily with AWS GovCloud celebrating our 10th anniversary, we address Fed ramp high for our customers that require that and D. O. D impact levels to four and five for a sensitive defense guy. >>And that was a real nuanced point and a lot of the competition can't do that. That's real people don't understand, you know, this company, which is that company and all the lobbying and all the mudslinging that goes on. We've seen that in the industry. It's unfortunate, but it happens. Um, I do want to ask you about the Fed ramp because what I'm seeing on the commercial side in the cloud ecosystem, a lot of companies that aren't quote targeting public sector are coming in on the Fed ramp. So there's some good traction there. You guys have done a lot of work to accelerate that. Any new, any new information to share their. >>Yes. So we've been committed to supporting the federal government compliance requirements effectively since the launch of GovCloud. And we've demonstrated our commitment to Fed ramp over the last number of years and GovCloud specifically, we've taken dozens of services through Fed ramp high and we're 100% committed to it because we have great relationships with the Fed ramp, Jabor the joint authorization board. We work with individual government agencies to secure agency A. T. O. S. And in fact we actually have more agency A. T. O. S. With AWS GovCloud than any other cloud provider. And the short and skinny is that represents the baseline for cloud security to address sensitive government workloads and sensitive government data. And what we're seeing from industry and specifically highly regulated industries is the standard that the U. S. Government set means that they have the assurance to run control and classified information or other levels of highly sensitive data on the cloud as well. So Fed ramp set that standard. It's interesting >>that the cloud, this is the ecosystem within an ecosystem again within crossover section. So for instance um the impact of not getting Fed ramp certified is basically money. Right. If you're a supplier vendor uh software developer or whatever used to being a miracle, no one no one would know right bed ramp. I'm gonna have to hire a whole department right now. You guys have a really easy, this is a key value proposition, isn't it? >>Correct. And you see it with a number of I. S. V. S. And software as the service providers. If you visit the federal marketplace website, you'll see dozens of providers that have Fed ramp authorized third party SAAS products running on GovCloud industry leading SAAS companies like Salesforce dot com driven technology Splunk essay PNS to effectively they're bringing their best of breed capabilities, building on top of AWS GovCloud and offering those highly compliant fed ramp, moderate fed ramp high capabilities to customers both in government and private industry that need that level of compliance. >>Just as an aside, I saw they've got a nice tweet from Teresa Carlson now it's plunk Govcloud yesterday. That was a nice little positive gesture uh, for you guys at GovCloud, what other areas are you guys moving the needle on because architecturally this is a big deal. What are some areas that you're moving the needle on for the GovCloud? >>Well, when I look back across the last 10 years, there were some pretty important developments that stand out. The first is us launching the second Govcloud infrastructure region in 2018 And that gave customers that use GovCloud specifically customers that have highly sensitive data and high levels of compliance. The ability to build fault tolerant, highly available and mission critical workloads in the cloud in a region that also gives them an additional three availability zones. So the launch of GovCloud East, which is named AWS GovCloud Us East gave customers to regions a total of six availability zones that allowed them accelerate and build more scalable solutions in the cloud. More recently, there is an emergence of another D O D program called the cybersecurity maturity model, C M M C and C M M C is something where we looked around the corner and said we need to Innovate to help our customers, particularly defense customers and the defense industrial based customers address see MMC requirements in the cloud. So with Govcloud back in December of 2020, we actually launched the AWS compliant framework for federal defense workloads, which gives customers a turnkey capability and tooling and resources to spin up environments that are configured to meet see MMC controls and D. O. D. Srg control. So those things represent some of the >>evolution keith. I'm interested also in your thoughts on how you see the progression of Govcloud outside the United States. Tactical Edge get wavelength coming on board. How does how do you guys look at that? Obviously us is global, it's not just the jet, I think it's more of in general. Edge deployments, sovereignty is also going to be world's flat, Right? I mean, so how does that >>work? So it starts back with customer requirements and I tie it back to the first question effectively we built Govcloud to respond to our U. S. Government customers and are highly regulated industry customers that had highly sensitive data and a high bar to meet in terms of regulatory compliance and that's the foundation of it. So as we look to other customers to include those outside of the US. It starts with those requirements. You mentioned things like edge and hybrid and a good example of how we marry the two is when we launched a W. S. Outpost in Govcloud last year. So outpost brings the power of the AWS cloud to on premises environments of our customers, whether it's their data centers or Coehlo environments by bringing AWS services, a. P. I. S and service and points to the customer's on premises facilities >>even outside the United States. >>Well, for Govcloud is focused on us right now. Outside of the U. S. Customers also have availability to use outpost. It's just for us customers, it's focused on outpost availability, geography >>right now us. Right. But other governments gonna want their Govcloud too. Right, Right, that's what you're getting at, >>Right? And it starts with the data. Right? So we we we spent a lot of time working with government agencies across the globe to understand their regulations and their requirements and we use that to drive our decisions. And again, just like we started with govcloud 10 years ago, it starts with our customer requirements and we innovate from there. Well, >>I've been, I love the D. O. D. S vision on this. I know jet I didn't come through and kind of went scuttled, got thrown under the bus or whatever however you want to call it. But that whole idea of a tactical edge, it was pretty brilliant idea. Um so I'm looking forward to seeing more of that. That's where I was supposed to come in, get snowball, snowmobile, little snow snow products as well, how are they doing? And because they're all part of the family to, >>they are and they're available in Govcloud and they're also authorized that fed ramp and Gov srg levels and it's really, it's really fascinating to see D. O. D innovate with the cloud. Right. So you mentioned tactical edge. So whether it's snowball devices or using outposts in the future, I think the D. O. D. And our defense customers are going to continue to innovate. And quite frankly for us, it represents our commitment to the space we want to make sure our defense customers and the defense industrial base defense contractors have access to the best debris capabilities like those edge devices and edge capable. I >>think about the impact of certification, which is good because I just thought of a clean crows. We've got aerospace coming in now you've got D O. D, a little bit of a cross colonization if you will. So nice to have that flexibility. I got to ask you about just how you view just in general, the intelligence community a lot of uptake since the CIA deal with amazon Just overall good health for eight of his gum cloud. >>Absolutely. And again, it starts with our commitment to our customers. We want to make sure that our national security customers are defense customers and all of the customers and the federal government that have a responsibility for securing the country have access to the best of breed capability. So whether it's the intelligence community, the Department of Defense are the federal agencies and quite frankly we see them innovating and driving things forward to include with their sensitive workloads that run in Govcloud, >>what's your strategy for partnerships as you work on the ecosystem? You do a lot with strategy. Go to market partnerships. Um, it's got its public sector pretty much people all know each other. Our new firms popping up new brands. What's the, what's the ecosystem looks like? >>Yeah, it's pretty diverse. So for Govcloud specifically, if you look at partners in the defense community, we work with aerospace companies like Lockheed martin and Raytheon Technologies to help them build I tar compliant E. R. P. Application, software development environments etcetera. We work with software companies I mentioned salesforce dot com. Splunk and S. A. P. And S. To uh and then even at the state and local government level, there's a company called Pay It that actually worked with the state of Kansas to develop the Icann app, which is pretty fascinating. It's a app that is the official app of the state of Kansas that allow citizens to interact with citizens services. That's all through a partner. So we continue to work with our partner uh broad the AWS partner network to bring those type of people >>You got a lot of MST is that are doing good work here. I saw someone out here uh 10 years. Congratulations. What's the coolest thing uh you've done or seen. >>Oh wow, it's hard to name anything in particular. I just think for us it's just seeing the customers and the federal government innovate right? And, and tie that innovation to mission critical workloads that are highly important. Again, it reflects our commitment to give these government customers and the government contractors the best of breed capabilities and some of the innovation we just see coming from the federal government leveraging the count now. It's just super cool. So hard to pinpoint one specific thing. But I love the innovation and it's hard to pick a favorite >>Child that we always say. It's kind of a trick question I do have to ask you about just in general, the just in 10 years. Just look at the agility. Yeah, I mean if you told me 10 years ago the government would be moving at any, any agile anything. They were a glacier in terms of change, right? Procure Man, you name it. It's just like, it's a racket. It's a racket. So, so, but they weren't, they were slow and money now. Pandemic hits this year. Last year, everything's up for grabs. The script has been flipped >>exactly. And you know what, what's interesting is there were actually a few federal government agencies that really paved the way for what you're seeing today. I'll give you some examples. So the Department of Veterans Affairs, they were an early Govcloud user and way back in 2015 they launched vets dot gov on gov cloud, which is an online platform that gave veterans the ability to apply for manage and track their benefits. Those type of initiatives paved the way for what you're seeing today, even as soon as last year with the U. S. Census, right? They brought the decennial count online for the first time in history last year, during 2020 during the pandemic and the Census Bureau was able to use Govcloud to launch and run 2020 census dot gov in the cloud at scale to secure that data. So those are examples of federal agencies that really kind of paved the way and leading to what you're saying is it's kind >>of an awakening. It is and I think one of the things that no one's reporting is kind of a cultural revolution is the talent underneath that way, the younger people like finally like and so it's cooler. It is when you go fast and you can make things change, skeptics turned into naysayers turned into like out of a job or they don't transform so like that whole blocker mentality gets exposed just like shelf where software you don't know what it does until the cloud is not performing, its not good. Right, right. >>Right. Into that point. That's why we spend a lot of time focused on education programs and up skilling the workforce to, because we want to ensure that as our customers mature and as they innovate, we're providing the right training and resources to help them along their journey, >>keith brooks great conversation, great insight and historian to taking us to the early days of Govcloud. Thanks for coming on the cube. Thanks thanks for having me cubes coverage here and address public sector summit. We'll be back with more coverage after this short break. Mhm. Mhm mm.
SUMMARY :
in Washington D. C. We're live on the ground for two days. A lot of history involved in Govcloud. breed in terms of high technology, high security, high compliance in the cloud to allow them but some of the early customers. So the Department of Health and Human Services, the Department of Veterans Affairs, itar compliance which is why they used AWS GovCloud. So there's also these levels. So it starts with the federal compliance program and the two most popular programs are a lot of companies that aren't quote targeting public sector are coming in on the Fed ramp. And the short and skinny is that represents the baseline for cloud security to address sensitive that the cloud, this is the ecosystem within an ecosystem again within crossover section. dot com driven technology Splunk essay PNS to effectively they're bringing what other areas are you guys moving the needle on because architecturally this is a big deal. So the launch of GovCloud East, which is named AWS GovCloud Us East gave customers outside the United States. So outpost brings the power of the AWS cloud to on premises Outside of the U. Right, Right, that's what you're getting at, to understand their regulations and their requirements and we use that to drive our decisions. I've been, I love the D. O. D. S vision on this. and the defense industrial base defense contractors have access to the best debris capabilities like those I got to ask you about just how you view just in general, securing the country have access to the best of breed capability. Go to market partnerships. It's a app that is the official app of the state of Kansas that What's the coolest thing uh you've done or seen. But I love the innovation and it's hard to pick a favorite ago the government would be moving at any, any agile anything. census dot gov in the cloud at scale to secure that data. the cloud is not performing, its not good. the workforce to, because we want to ensure that as our customers mature and as they innovate, Thanks for coming on the cube.
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Antonio Neri, HPE | HPE Discover 2021
>>Yeah, >>approximately two years after HP split into two separate companies, antonioni Ranieri was named president and Ceo of Hewlett Packard Enterprise. Under his tenure, the company has streamlined its operations, sharpened his priorities, simplified the product portfolio and strategically aligned its human capital with key growth initiatives. He's made a number of smaller but high leverage acquisitions and return the company to growth while affecting a massive company wide pivot to an as a service model. Welcome back to HPD discovered 2021. This is Dave Volonte for the cube and it's my pleasure to welcome back Antonio Neary to the program. Antonio it's been a while. Great to see you again. >>Hi, Dave. Thanks for having me. >>That's really our pleasure. It was just gonna start off with the big picture. Let's talk about trends. You're a trend spotter. What do you see today? Everybody talks about digital transformation. We had to force marks to digital last year. Now it's really come into focus. But what are the big trends that you're seeing that are affecting your customers transformations? >>Well, Dave, I mean obviously we have been talking about digital transformation for some time uh in our view is no longer a priority is a strategic imperative. And through the last 15 months or so since we have been going through the pandemic, we have seen that accelerated to a level we haven't never seen before. And so what's going on is that we live in a digital economy and through the pandemic now we are more connected than ever. We are much more distributed than ever before and an enormous amount of data is being created and that data has tremendous value. And so what we see in our customer's name, more connectivity, they need a platform from the edge to the cloud to manage all the data and most important they need to move faster and extracting that inside that value from the data and this is where HP is uniquely positioned to deliver against those experiences and way we haven't imagined before. >>Yeah, we're gonna dig into that now, of course you and I have been talking about data and how much data for decades, but I feel like we're gonna look back at 2030 and say, wow, we never, we're not gonna do anything like that. So we're really living in a data centric era as the curves are going exponential, What do you see? How do you see customers handling this? How are they thinking about the opportunities? >>Well, I think, you know, customer realized now that they need to move faster, they need to absolutely be uh much more agile and everything. They do, they need to deploy a cloud experience for all the work clothes and data that they manage and they need to deliver business outcomes to stay ahead of the competition. And so we believe technology now plays even a bigger role and every industry is a technology industry in many ways, every company, right, is a technology company, whether your health care, your manufacturer, your transportation company, you are an education, everybody needs more. It no less. It but at the same time they want the way they want to consumer dave is very different than ever before, right? They want an elastic consumption model and they want to be able to scale up and down based on the needs of their enterprise. But if you recall three years ago, I knew and I had this conversation, I predicted that enterprise of the future will be edge century, cloud enable and data driven. The edge is the next frontier, we said in 2018 and think about it, you know, people now are working remotely and that age now is much more distribute than we imagined before. Cloud is no longer a destination, it is an experience for all your apps and data, but now we are entering what we call the edge of insight, which is all about that data driven approach and this is where all three have to come together in ways that customer did envision before and that's why they need help. >>So I see that, I see the definition of cloud changing, it's no longer a set of remote services, you know, somewhere up there in the cloud, it's expanding on prem cross clouds, you mentioned the edge and so that brings complexity. Every every company is a technology company but they may not be great at technology. So it seems that there are some challenges around there, partly my senses, some of some of what you're trying to do is simplify that for your customers. But what are the challenges that your customers are asking you to solve? >>Well, the first they want a consistent and seamless experience, whatever that application and data lives, so, you know, for them, you know, they want to move away from running it to innovate in our 90 and then obviously they need to move much faster. As I said earlier about this data driven approaches. So they need help because obviously they need to digitize every every aspect of the company, but at the same time they need to do it in a much more cost effective way. So they're asking for subject matter expertise on process engineering. They're asking for the fighting the right mix of hybrid experiences from the edge to cloud and they need to move much faster at scale in deploying technologies like Ai deep learning and machine learning and Hewlett Packard Enterprise uh is extremely well positioned because we have been building an age to club platform where you provide connectivity where you bring computing and storage uh in a softer, define scalable way that you can consume as a service. And so we have great capabilities without HP Point next technology services and advice and run inside. But we have a portfolio with HP Green Lake, our cloud services, the cloud that comes to you that are addressing the most critical data driven warlords. >>Probably about 24 months ago you announced that HP was was going to basically go all in on as a service and get there by by 2022 for all your solutions. I gotta get, I gotta say you've done a good job communicating the Wall Street, I think, I think culturally you've really done a good job of emphasizing that to your, to the workforce. Uh, but but how should we measure the progress that you've made toward that goal? How our customers responding? I I know how the markets responding, you know, three or four year big competitors have now announced. But how should we measure, you know, how you're tracking to that goal? >>Well, I think, you know, the fact that our competitors are entering the other service market is a validation that our vision was right. And that's that's that's good because in the end, you know, it tells us we are on the right track. However, we have to move much faster than than ever before. And that's why we constantly looking for ways to go further and faster. You're right. The court of this is a cultural transformation. Engineering wise, once you state, once you state the North Star, we need to learn our internal processes to think Cloud first and data first versus infrastructure. And we have made great progress. The way we measure ourselves. Dave is very simple is by giving a consistent and transparent report on our pivot in that financial aspect of it, which is what we call the annualized revenue run rate, which we have been disclosed enough for more than a year and a half. And this past quarter grew 30% year over year. So we are on track to deliver a 30-40% Kegel that we committed two years ago And this business going to triple more than uh more than one year from now. So it's gonna be three times as bigger as we enter 2022 and 2023. But in the end, it's all about the experience you deliver and that's why architecturally uh while we made great progress. I know there is way more work to be done, but I'm really excited because what we just announced here this week is just simply remarkable. And you will see more as we become more a cloud operating driven company in the in the next months and years to come. >>I want to ask you kind of a personal question. I mean, COVID-19 is you know, sharpened our sensitivity and empathy to to a lot of different things. Uh and I think uh ceos in your position of a large tech company or any large company, they really can't just give lip service to things like E. S. G. Or or ethical uh digital transformation, which is something that you've talked about in other words, making sure that it's inclusive. Everybody is able to participate in this economy and not get left behind. What does this mean to you personally? >>Well, they remember I'm in a privileged position, right? Leading a company like Hewlett Packard Enterprise that has Hewlett and Packard on the brand is an honor, but it's also a big responsibility. Let's remember what this company stands for and what our purpose is, which is to advance the way people live and work, and in that we have to be able to create a more equitable society and use this technology to solve some of the biggest societal challenge you have been facing The last 18 months has been really hard on a number of dimensions, not just for the business but for their communities. Uh, we saw disruption, we saw hardships on the financial side, we saw acts of violence and hatred. Those are completely unacceptable. But if we work together, we can use these technologies to bring the community together and to make it equitable. And that's one is one of my passion because as we move into this digital economy, I keep saying that connecting people is the first step and if you are not connected, you're not going to participate. Therefore we cannot afford to create a digital economy for only few. And this is why connectivity has to become an essential service, not different than water and electricity. And that's why I have passion and invest my own personal time working with entities like World Economic Forum, educating our government, right, Which is very important because both the public sector and the private sector have to come together. And then from the technology standpoint, we have to architect these things that are commercially accessible and viable to everyone. And so it's uh it's I will say that it's not just my mission. Uh this is top of mind for many of my colleagues ceos that talked all the time and you can see of movement, but at the same time it's good for business because shareholders now want to invest in companies that take care about this, how we make, not just a word more inclusive and equitable, but also how we make a more sustainable and we with our technologies, we can make the world way more sustainable with circular economy, power, efficiency and so forth. So a lot of work to be done dave but I'm encouraged by the progress but we need to do way way more. >>Thank you for that Antonio. I want to ask you about the future and I want to ask you a couple of different angles. So I want to start with the edge. So it seems to me that you're you're building this vision of what I call a layer that abstracts the underlying complexity of the whether it's the public cloud across clouds on prem and and and the edge and it's your job to simplify that. So I as the customer can focus on more strategic initiatives and that's clearly the vision that you guys are setting forth on. My question is is how far do you go on the edge? In other words, it seems to me that Aruba for example, for example, awesome acquisition could go really, really deep into the far edge, maybe other parts of your portfolio, you're kind of more looking at horizontal. How should we think about HP. Es, positioning and participation in that edge opportunity? >>Well, we believe we are becoming one of the merger leaders at the intelligent edge. Right? These edges becoming way more intelligent. We live in a hyper connected world and that will continue to grow at an exponential pace. Right? So today we we may have billions of people and devices pursue. We're entering trillions of things that will be connected to the network. Uh, so you need a platform to be able to do with the scale. So there is a horizontal view of that to create these vertical experiences which are industry driven. Right? So one thing is to deliver a vertical experience in healthcare versus manufacturer transportation. And so we take a really far dave I mean, to the point that we just, you know, put into space 256 miles above the Earth, a supercomputer that tells you we take a really far, but in the end, it's about acting where the data is created and bringing that knowledge and that inside to the people who can make a difference real time as much as possible. And that's why I start by connecting things by bringing a cloud experience to that data, whatever it lives because it's cheaper and it's way more economical and obviously there's aspects of latest in security and compliance. They have to deal with it and then ultimately accelerate that inside into some sort of outcome. And we have many, many use cases were driving today and Aruba is the platform by the way, which we have been using now to extend from the edge all the way to the core into the cloud business. And that's why you HP has unique set of assets to deliver against that opportunity. >>Yes, I want to talk about some of the weapons you have in your arsenal. You know, some people talk about, hey, well we have to win the architectural battle for hybrid cloud. I've heard that statement made, certainly HP is in that battle. It's not a zero sum game, but you're a player there. And so when I, when I look at as a service, great, you're making progress there. But I feel like there's more, there's, there's architecture there, you're making acquisitions, you're building out as moral, which is kind of an interesting data platform. Uh, and so I want to ask you how you see the architecture emerging and where H. P. S sort of value add, I. P. Is your big player and compute you've got actually, you've got chops and memory disaggregate asian, you've done custom silicon over the years. How how should we think about your contribution to the next decade of innovation? >>Well, I think it's gonna come different layers of what we call the stock, right? Obviously, uh, we have been known for an infrastructure company, but the reality is what customers are looking for. Our integrated solutions that are optimized for the given world or application. So they don't have to spend time bringing things together. Right? And and spend weeks sometimes months when they can do it in just in a matter of minutes a day so they can move forward innovative on I. T. And so we were really focused on that connectivity as the first step. And Aruba give us an enormous rich uh through the cloud provisioning of a port or a wifi or a one. As you know, as we move to more cloud native applications. Much of the traffic through the connectivity will go into the internet, not through the traditional fixed networks. And that's what we did acquisitions like Silver Peak because now we can connect all your ages and all your clouds in an autonomous softer. The final way as we go to the other spectrum. Right? We talk about one load optimization and uh for us H. P. S my role is the recipe by which we bring the infrastructure and the software in through that integrated solution that can run autonomously that eventually can consume as a service. And that's why we made the introduction here of HP Green like Lighthouse, which is actually a fully optimised stack. They with the push of a bottom from HP Green Lake cloud platform, we can deploy whatever that that is required and then be able to Federated so we can also address other aspects like disaster recovery and be able to share all the knowledge real time. Swarm learning is another thing that people don't understand. I mean if you think about it. So I'm learning is a distributed Ai learning ecosystem and think about what we did with the D. C. Any in order to find cures for Alzheimer's or dementia. But so I'm learning is going to be the next platform sitting on this age to cloud architecture. So that instead of people worrying about sharing data, what we're doing is actually sharing insights And be able to learn through these millions of data points that they can connect with each other in a secure way. Security is another example, right? So today on an average takes 28 days to find a bridge in your enterprise with project Aurora, which we're going to make available at the end of the year by the end of the year. We actually can address zero day attacks within seconds. And then we're work in other areas like disaster recovery when you get attacked. Think about the ransom ramp somewhere that we have seen in the last few weeks, right? You know, God forbid you have to pay for it. But at the same time, recovery takes days and weeks. Sometimes we are working on technology to do it within 23 seconds. So this is where HP can place across all spectrums of the stack And at the same time of course people expect us to innovate in infrastructure layer. That's why we also partner with companies like Intel were with the push of a bottom. If you need more capacity of the court, you don't have to order anything. She's pushed the bottle, we make more calls available so that that warlord can perform and when you don't need it, shut it off so you don't have to pay for it. And last finalist, you know, I will say for us is all about the consumption availability of our solutions And that's what I said, you know, in 2019 we will make available everything as a service by 2022. You know, we have to say as you know, there is no need to build the church for Easter Sunday when you can rent it for that day. The point here is to grow elastically. And the fact that you don't need to move the data is already a cost savings because cost of aggression data back and forth is enormous and customers also don't want to be locked in. So we have an open approach and we have a true age to cloud architecture and we are focusing on what is most valuable aspect for the customer, which is ultimately the data. >>Thank you for that. One of the other things I wanted to ask you about, again, another weapon in your arsenal is you mentioned supercomputing before. Up in space, we're on the cusp of exa scale and that's the importance of high performance computing. You know, it used to be viewed as just a niche. I've had some great conversations with DR go about this, but that really is the big data platform, if you will. Uh can I wonder if you could talk a little bit about how that fits into the future. Your expertise in HPC, you're obviously a leader in that space. What's the fit with this new vision you're laying out? >>Well, HPC, high performance computing in memory computer are the backbone to be able to manage large data sets at massive scale. Um, and, you know, deployed technologies like deep learning or artificial intelligence for this massive amount of data. If we talked about the explosion of data all around us and uh, you know, and the algorithms and the parameters to be able to extract inside from the day is getting way more complex. And so the ability to co locate data and computed a massive scale is becoming a necessity, whether it's in academia, whether it's in the government obviously to protect your, your most valuable assets or whether it is in the traditional enterprise. But that's why with the acquisition of cray as G. I. And our organic business, we are absolutely the undisputed leader to provide the level of capabilities. And that's why we are going to build five of the top six exa scale systems, which is basically be able to process the billion billion, meaning billion square transactions per second. Can you imagine what you can do with that? Right. What type of problems you can go solve climate problems? Right. Um you know, obviously be able to put someone back into the moon and eventually in mars, you know, the first step to put that supercomputer as an edge computer into the international space station. It's about being able to process data from the images that take from the ice caps of the of the earth to understand climate changes. But eventually, if you want to put somebody in in into the Marks planet, you have to be able to communicate with those astronauts as they go and you know, you can't afford the latency. Right? So this is what the type of problems we are really focused on. But HPC is something that we are absolutely super committed and it's something that honestly, we have the full stack from silicon to software to the system performance that nobody else has in the industry. >>Well, I think it's a real tailwind for you because the industry is moving in that direction and everybody talks about the data and workloads are shifting. We used to be uh I got O. L. T. P. And I got reporting. Now you look at the workloads, there's so much diversity so I'll give you the last word. What what really is the most exciting to you about the future of HPV? >>Well, I'm excited about the innovation will bring it to the market and honestly as the Ceo I care about the culture of the company. For me, the last almost 3.5 years have been truly remarkable. As you said at the beginning, we are transforming every aspect of this company. When I became Ceo I had three priorities for myself. One is our customers and partners. That's why we do these events right to communicate, communicate, communicate. They are our North Star, that's why we exist. Second is our innovation right? We compete and win with the best innovation, solving the most complex problems in a sustainable and equitable way. And third is the culture of the company, which are the core is how we do things in our Team members and employees. You know, I represent my colleagues here, the 60,000 strong team members that had incredible passion for our customers and to make a contribution every single day. And so for me, I'm very optimistic about what we see the recovery of the economy and the possibilities of technology. Uh, but ultimately, you know, we have to work together hand in hand and I believe this company now is absolutely on the right track to not just be relevant, but really to make a difference. And remember That in the end we we have to be a force for good. And let's not forget that while we do all of this, we have some farm with technology. We have to also help some, uh, to address some of the challenges we have seen in the last 18 months and H. P. E. is a whole different company uh, that you knew 3.5 years ago. >>And as you said, knowledge is the right thing to do. It's good. It's good for business Antonio. Neary, thanks so much for coming back to the cube is always a pleasure to see you. >>Thanks for having me. Dave and >>thank you for watching this version of HP discover 2021 on the cube. This is David want to keep it right there for more great coverage. Mm
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Great to see you again. What do you see today? the edge to the cloud to manage all the data and most important they need to move faster era as the curves are going exponential, What do you see? we said in 2018 and think about it, you know, people now are working remotely and you know, somewhere up there in the cloud, it's expanding on prem cross clouds, you mentioned the edge and But we have a portfolio with HP Green Lake, our cloud services, the cloud that comes to you But how should we measure, you know, how you're tracking to in the end, you know, it tells us we are on the right track. What does this mean to you personally? that talked all the time and you can see of movement, but at the same time it's good for business I want to ask you about the future and I want to ask you a couple of different angles. to the point that we just, you know, put into space 256 miles above Uh, and so I want to ask you You know, we have to say as you know, there is no need to build the church for Easter Sunday when you can rent One of the other things I wanted to ask you about, again, another weapon in your arsenal is you mentioned someone back into the moon and eventually in mars, you know, the first step What what really is the most exciting to you about the future of HPV? And remember That in the end we we have to be a force for good. And as you said, knowledge is the right thing to do. Dave and thank you for watching this version of HP discover 2021 on the cube.
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Arwa Kaddoura, HPE | HPE Discover 2021
>>Welcome >>back to HP discover 2021. My name is Dave Volonte and you're watching the cubes virtual coverage of discover 21 we're excited to welcome back our wa Kadoura, She's the vice president and worldwide go to market leader for HP. Es smoking hot. Green Lake Cloud services are welcome back to the cube. Good to see you again. >>Thank you for having me to be with you. >>So talk about how your products and services are supporting customer transformations. I'm interested in the experience that everybody has been dreaming about describe how you're giving your customer that competitive advantage. If you've got any examples, that would be awesome. >>Yeah, you got it. Um, I think as we heard Antonio say the cloud is an experience, not a destination, right? And what we're doing with Green Lake is bringing those cloud capabilities and the cloud experience to our customers. You know, we like to say co locations, data center and edge of course. So this is the cloud on prem. And so rather than forcing customers to only have to go up to cloud to get modern cloud capabilities or the benefits of things like, you know, pay as you go for consumption, et cetera. You know, cloud native capabilities like containers, leveraging, kubernetes. We now bring all of that to Green Lake and to our customers. Edge locations and co locations and data centers. We've been able to dramatically transform many of our customers businesses. Right? And you'll probably see it discover some of those examples come to life. For example, Care Stream, who is, you know, in the electronic medical imaging world, Right? They have all of the X ray equipment that capture x rays and different sort of diagnostics for patients. Um and we worked with them to not only craft a ml solution to better read and diagnose these images, um but also all of the underlying infrastructure with the HP Green Lake Ml ops platform that allows them to instantly leverage the capabilities of machine learning and the infrastructure to go with it. >>And so tell me, so, how is it resonating with customers? What you're out there, talking to customers all the time? What are they >>telling you? You know, I think what our customers appreciate about HP Green Lake is it's not sort of look, it's either all on prem in my data center and I have to fully manage it, build it, implement it, take care of it or it's fully public cloud. I have little control and basically I get whatever the public cloud gives me right. Hp Green leg gives our customers the flexibility and control that they require. Right. And so you can think of many use cases where customers have a need to have the compute storage sort of processing need to happen closer to where their data and apps live. Um and so for that exact reason our customers love the flexibility, right? Cloud one, Dato was public cloud. Cloud to Dato I think is the cloud that comes to our customers at their convenience. And to me, you know what I tell C I O S and C T O S and sort of other lines of business leaders when I meet with them is you shouldn't be forced to have to take your data and apps elsewhere to get the transformation that you need. We want to be able to bring that directly to our customers. >>Of course, a lot of the transformation is around data. We love talking about data on the cube and it's funny, I mean we talked about big data last decade. We don't use that term much anymore. Uh It was kind of overhyped but as as often times as the case may be in the early days it's overhyped but then it's under hyped when it actually starts to kick in. And I feel like we're entering a new age of data. And insights with the ascendancy of machine learning and ai what does this mean from H. P. S. Perspective and what our customers telling you that it means for them. >>Yeah no data. I think we often hear data is the new currency writes the new gold. Um You know we've heard uh Antonio even say things like look data could even become something that maybe over time companies start to put some kind of value on their balance sheet. Behind right the same way that maybe brands represented this value on a balance sheet. Um effectively what's happened with data is a lot of people have a lot of data but there's not been a lot of ability to extract insights from data. Right? And I think this is the new revolution that we're all undergoing is we finally have the modern analytics tools to actually turn the data into insights and what we bring to the table from an HPD perspective is the fact that we have the best infrastructure. We obviously now have the cloud capabilities mixed in with our data fabric or container platform, our machine learning operations platform to then be able to process that data again, integrated with many of the great I SV partners that we have on the data side allow our customers to turn that into real insights for their business. And effectively data is becoming a huge competitive advantage. Right? I think many of us are you know, leveraging some, you know, pretty interesting tools or gadgets these days, right? Like I wear one of those, you know, sleep brings, you can imagine a company like that in the future that's able to collect so much data from the folks that purchase their products. Then being able to give us insights about, you know, where is the best zip code that, you know, people get the most amount of sleep in or you know, which zip codes are the healthiest and you know, the United States or countries, et cetera. Um but data really is becoming um you know, a competitive advantage. And one of the things that we care most about at HP is also using it as a force for good and making sure that there is a sort of ethical ai capability. >>That's a great message and very important one. And and it's interesting you're saying about data and the value how well it's clearly it's clearly being valued in terms of companies market caps. I mean it's it's it's you know, maybe it's not the balance yet, but it's on the income statement in terms of data products and data services that that's happening. So we'll see if Antonio's right in the next, you know, several years. But so let's talk more about the specific data challenges that you're solving for your customers. They talk about silos, they talk about they haven't got as much value out of their data initiatives as they wanted to. What are they telling you? Are there challenges and how are you approaching it? >>Yeah, I think, you know, um data's everywhere right. The ability for customers to store the right amount of data is a huge challenge because obviously there's, you know, a huge cost associated with collecting, keeping cleansing processing, you know, all the way to sort of analyzing your data. There tends to be a ton of data silos, right? So customers are looking for a common data fabric that they can then process their data sources across and then be able to sort of tap into that data from an analytics perspective. So much of the technology again that we're focused on is be able to store the data right, Our data fabric layer with his moral right being able to process that data capture that data and then allow the analytics tools to then harness the power of that data and turn that into real business insights for our customers. Um Every customer that I have spoken to, you know whether their financial services, you know, you can imagine the big financial services. I mean they've got you know, just bazillions of pockets of data everywhere and you know, the real sort of a challenge for them is how do I build a common data platform that allows me to tap into that data in effective ways for my business users? >>You talk a little bit about how you're changing the way you're providing solutions? Maybe maybe you could contrast it with the way HP has done in the past, because I think that's important when you, when you think about, you talk a lot about green lake and as a service, but if the products are still, you know, kind of boxes and Luns and, and gigahertz and ports, then, you know, that's that's a dis continuity. So what's changed from the past and how are you feeding into the way customers are transforming their business and supporting their outcomes? >>That's exactly right. You know, at some point in time, right. If you think maybe 10 or 20 years back, it used to be very much about the infrastructure for hp. What's exciting about what we're doing differently for our customers is look, we have the best infrastructure in the business, right. Hp has been doing this you no longer than anyone has probably almost 60 years now. Um but being able to vertically integrate right, move up in that value change so that our customers can get more complete solutions is the more interesting part for our customers. Our customers love our technology, Yes, the gigahertz and the speeds and feeds all of that do matter because they, you know, make for some very powerful infrastructure. However, what makes it easier is the fact that we are building platform stacks on top of that hardware, um that help abstract away the complexity of that infrastructure and the ability to use it far more seamlessly. Um and then if you think about it, we of course have also one of the most advanced services organizations. So being able to leverage our services capabilities, our platform capabilities on top of that hardware, again, deliver it back to our customers In a consumption model, which they've become two X, which they've come to expect from a cloud model. Um and then surrounded by a very rich ecosystem of partners. And we're talking about system Integrators that now have capabilities on helping our customers run their Green Lake environments. We're talking about I. S. V. S. Right? So software stacks and platforms that fully integrate with the Green Lake platform for completely seamless solutions. Um as well as channel Partners and global distributors. So I think that's where we can truly deliver the ultimate end to end solution. It's not just the hardware, right? But it's being complemented with the right services being complemented with the right platform capabilities, the software integrations to deliver that workload that the customer expects. >>And partners, they gotta they gotta place bets, they gonna put resources time money in a line, their resources with with their their partners and their suppliers like HP. So when they ask you, hey, okay. Hp. Tell me or well, what's your overall strategy? Why is it compelling and why do you give me competitive advantage relative to some of your peers in the industry? >>Yeah, I think what, you know, partners are going to be most excited about is the openness of the platform, right? Being able to allow our partners to leverage Green Lake Central with open API so that they can integrate some of their own technologies into our platform. Uh the ability to allow them to also layer in their own um managed services on top of the platform is key. Um And of course being able to build sort of these win win solutions with the system Integrators, right. The system Integrators have some fantastic capabilities all the way from an application development, all the way down to the infrastructure management and data center delivery centers that they have. And so leveraging HP Green Lake um really helps them have access to core technologies that they need to deliver these solutions. >>I wonder if I could take a little sort of side road here and ask you because so many changes going on HP itself is transforming your customers are transforming the pandemic has accelerated all these transformations. Can you talk a little bit about how you've transformed go to market specifically in the context of of as a service? I mean that had to be quite a change for you guys. >>Yeah, no, go to market transformations in support of sort of moving from traditional go to markets right to call, go to markets or significant. Um They required us to really think through what does delivering as a service solutions mean for our direct sales force? What does it mean for our partners and their transformations and being able to support as a service solutions? Um for HP specifically, it also means um thinking about our customer outcomes, not just our ability to ship them, you know, the requisite hardware and say, look, once it's left our dog, our job is done right. It really takes our obligation all the way to the customer using the technology on a day by day basis, as well as supporting them in making sure that everything from implementation to set up to the ongoing monitoring operations of the technology is working for them in the way that they expect in an as a service way, right? We don't expect them to operate it. We don't expect them to, you know, do anything more than pick up the phone and call us if something doesn't go as planned. >>And how about your sellers and your partners? How did they respond? I mean you just wake up one day is okay guys, here we go, new compensation scheme, new way to sell new way to market that that took some thought in some time. And where are you in that journey? >>That's right. And I always say, you know, if you expect people to wake up one day and be transformed, right? You're kidding yourself. Um So everything from sort of the way that we think about our customers use cases, right? And empowering our sellers to understand the outcomes that our customers expect and demand from us to things like compensation too. You know, the partner rebate program that we leverage through the channel partners in order to give them the right incentives to also allow them to make the right investments to support Green Lake. Um, you know, we've all, you know, HP has a fairly significant field sales and solution team and so not thinking about this only as a single person that represents Green Lake, but looking at our capabilities across the board, right. We have fantastic advisory consultants on the ground with phds and data science. We have folks that understand, you know, high performance computing, so making sure that we're embedding the expertise in all of the right personas that support our customers, not just from a calm perspective, but also from an understanding of the end to end solutions that we're bringing to those markets. >>So what gets you stoked in the morning, you get out of bed and you're like, okay, I'm gonna go attack the world. What are you most excited about for H P E and his future? >>You know, it's, there's so much happening right now in this sort of cloud world. Right? Um to me the most exciting portion is the fact that given that we've now introduced on prem cloud to the world, our ability to ship new services and new capabilities, um, but also do that via a very rich partner ecosystem honestly is what probably has me most excited. This is no longer the age of go at it alone, Right. So not only are engineering and product teams hard at work in the engine room producing, you know, capabilities at sort of lightening fast speeds, but it's also our ability to partner, uh you know, whether it's with platform providers, you know, software providers or, you know, system Integrators and services providers, that ecosystem is starting to come together to deliver highly meaningful solutions to our customers and all in a very open way. Um, the number one thing that I personally care about is that our customers never feel like they are being locked in or that they are sort of being forced to have to give up certain levels of capabilities. We want to give them the best of what's out there and allow them to then have that flexibility in their solution. >>And one of the challenges, of course with virtual events is you don't have the hallway track. You know, somebody can't say, hey, have you seen that IOT zone? It's amazing. They got all these robots going around. But so what, what would you say that people should be focused on the discovery maybe things that you want to call out specific highlights or segments that you think are relevant? >>Yeah, there's gonna be a ton of fantastic stuff I think, um you know, really looking for that edge to cloud strategy, um that we're gonna be spending a lot of time talking about um looking at some of our vertical workload solutions, right. We're gonna be talking about quite a few from electronic health care records to payment solutions. Um and many more I think depending on what folks are interested in, there's gonna be something for everyone. Um Project Aurora, which now starts to announce our new security capabilities. Um, you know, the zero trust capabilities that we're delivering um is probably interesting to a lot of our customers, so lots of exciting things coming and I'm excited for our customers to check this out. >>No doubt that's a hot topic. Especially given what's been happening the news these past several months. All right, well, thanks so much for coming back in. The cube is great to see you hopefully face to face next time. >>I sure hope so. Thanks so much for having me. >>It's our pleasure. And thank you for watching and thank you for being with us and our ongoing coverage of HPD discovered 2021. This is Dave Volonte. You're watching the cube, The leader and digital tech coverage. >>Yeah.
SUMMARY :
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Arwa Kaddoura v3
>>Welcome >>back to HP discover 2021. My name is Dave Volonte and you're watching the cubes virtual coverage of discover 21 we're excited to welcome back our wa Kadoura, She's the vice president and worldwide go to market leader for HP. Es smoking hot. Green Lake Cloud services are welcome back to the cube. Good to see you again. >>Thank you for having me to be with you. >>So talk about how your products and services are supporting customer transformations. I'm interested in the experience that everybody has been dreaming about describe how you're giving your customer that competitive advantage. If you've got any examples, that would be awesome. >>Yeah, you got it. Um, I think as we heard Antonio say the cloud is an experience, not a destination, right? And what we're doing with Green Lake is bringing those cloud capabilities and the cloud experience to our customers. You know, we like to say co locations, data center and edge of course. So this is the cloud on prem. And so rather than forcing customers to only have to go up to cloud to get modern cloud capabilities or the benefits of things like, you know, pay as you go for consumption, et cetera. You know, cloud native capabilities like containers, leveraging, kubernetes. We now bring all of that to Green Lake and to our customers. Edge locations and co locations and data centers. We've been able to dramatically transform many of our customers businesses. Right? And you'll probably see it discover some of those examples come to life. For example, Care Stream, who is, you know, in the electronic medical imaging world, Right? They have all of the X ray equipment that capture x rays and different sort of diagnostics for patients. Um and we worked with them to not only craft a ml solution to better read and diagnose these images, um but also all of the underlying infrastructure with the HP Green Lake Ml ops platform that allows them to instantly leverage the capabilities of machine learning and the infrastructure to go with it. >>And so tell me, so, how is it resonating with customers? What you're out there, talking to customers all the time? What are they >>telling you? You know, I think what our customers appreciate about HP Green Lake is it's not sort of look, it's either all on prem in my data center and I have to fully manage it, build it, implement it, take care of it or it's fully public cloud. I have little control and basically I get whatever the public cloud gives me right. Hp Green leg gives our customers the flexibility and control that they require. Right. And so you can think of many use cases where customers have a need to have the compute storage sort of processing need to happen closer to where their data and apps live. Um and so for that exact reason our customers love the flexibility, right? Cloud one, Dato was public cloud. Cloud to Dato I think is the cloud that comes to our customers at their convenience. And to me, you know what I tell C I O S and C T O S and sort of other lines of business leaders when I meet with them is you shouldn't be forced to have to take your data and apps elsewhere to get the transformation that you need. We want to be able to bring that directly to our customers. >>Of course, a lot of the transformation is around data. We love talking about data on the cube and it's funny, I mean we talked about big data last decade. We don't use that term much anymore. Uh It was kind of overhyped but as as often times as the case may be in the early days it's overhyped but then it's under hyped when it actually starts to kick in. And I feel like we're entering a new age of data. And insights with the ascendancy of machine learning and ai what does this mean from H. P. S. Perspective and what our customers telling you that it means for them. >>Yeah no data. I think we often hear data is the new currency writes the new gold. Um You know we've heard uh Antonio even say things like look data could even become something that maybe over time companies start to put some kind of value on their balance sheet. Behind right the same way that maybe brands represented this value on a balance sheet. Um effectively what's happened with data is a lot of people have a lot of data but there's not been a lot of ability to extract insights from data. Right? And I think this is the new revolution that we're all undergoing is we finally have the modern analytics tools to actually turn the data into insights and what we bring to the table from an HPD perspective is the fact that we have the best infrastructure. We obviously now have the cloud capabilities mixed in with our data fabric or container platform, our machine learning operations platform to then be able to process that data again, integrated with many of the great I SV partners that we have on the data side allow our customers to turn that into real insights for their business. And effectively data is becoming a huge competitive advantage. Right? I think many of us are you know, leveraging some, you know, pretty interesting tools or gadgets these days, right? Like I wear one of those, you know, sleep brings, you can imagine a company like that in the future that's able to collect so much data from the folks that purchase their products. Then being able to give us insights about, you know, where is the best zip code that, you know, people get the most amount of sleep in or you know, which zip codes are the healthiest and you know, the United States or countries, et cetera. Um but data really is becoming um you know, a competitive advantage. And one of the things that we care most about at HP is also using it as a force for good and making sure that there is a sort of ethical ai capability. >>That's a great message and very important one. And and it's interesting you're saying about data and the value how well it's clearly it's clearly being valued in terms of companies market caps. I mean it's it's it's you know, maybe it's not the balance yet, but it's on the income statement in terms of data products and data services that that's happening. So we'll see if Antonio's right in the next, you know, several years. But so let's talk more about the specific data challenges that you're solving for your customers. They talk about silos, they talk about they haven't got as much value out of their data initiatives as they wanted to. What are they telling you? Are there challenges and how are you approaching it? >>Yeah, I think, you know, um data's everywhere right. The ability for customers to store the right amount of data is a huge challenge because obviously there's, you know, a huge cost associated with collecting, keeping cleansing processing, you know, all the way to sort of analyzing your data. There tends to be a ton of data silos, right? So customers are looking for a common data fabric that they can then process their data sources across and then be able to sort of tap into that data from an analytics perspective. So much of the technology again that we're focused on is be able to store the data right, Our data fabric layer with his moral right being able to process that data capture that data and then allow the analytics tools to then harness the power of that data and turn that into real business insights for our customers. Um Every customer that I have spoken to, you know whether their financial services, you know, you can imagine the big financial services. I mean they've got you know, just bazillions of pockets of data everywhere and you know, the real sort of a challenge for them is how do I build a common data platform that allows me to tap into that data in effective ways for my business users? >>You talk a little bit about how you're changing the way you're providing solutions? Maybe maybe you could contrast it with the way HP has done in the past, because I think that's important when you, when you think about, you talk a lot about green lake and as a service, but if the products are still, you know, kind of boxes and Luns and, and gigahertz and ports, then, you know, that's that's a dis continuity. So what's changed from the past and how are you feeding into the way customers are transforming their business and supporting their outcomes? >>That's exactly right. You know, at some point in time, right. If you think maybe 10 or 20 years back, it used to be very much about the infrastructure for hp. What's exciting about what we're doing differently for our customers is look, we have the best infrastructure in the business, right. Hp has been doing this you no longer than anyone has probably almost 60 years now. Um but being able to vertically integrate right, move up in that value change so that our customers can get more complete solutions is the more interesting part for our customers. Our customers love our technology, Yes, the gigahertz and the speeds and feeds all of that do matter because they, you know, make for some very powerful infrastructure. However, what makes it easier is the fact that we are building platform stacks on top of that hardware, um that help abstract away the complexity of that infrastructure and the ability to use it far more seamlessly. Um and then if you think about it, we of course have also one of the most advanced services organizations. So being able to leverage our services capabilities, our platform capabilities on top of that hardware, again, deliver it back to our customers In a consumption model, which they've become two X, which they've come to expect from a cloud model. Um and then surrounded by a very rich ecosystem of partners. And we're talking about system Integrators that now have capabilities on helping our customers run their Green Lake environments. We're talking about I. S. V. S. Right? So software stacks and platforms that fully integrate with the Green Lake platform for completely seamless solutions. Um as well as channel Partners and global distributors. So I think that's where we can truly deliver the ultimate end to end solution. It's not just the hardware, right? But it's being complemented with the right services being complemented with the right platform capabilities, the software integrations to deliver that workload that the customer expects. >>And partners, they gotta they gotta place bets, they gonna put resources time money in a line, their resources with with their their partners and their suppliers like HP. So when they ask you, hey, okay. Hp. Tell me or well, what's your overall strategy? Why is it compelling and why do you give me competitive advantage relative to some of your peers in the industry? >>Yeah, I think what, you know, partners are going to be most excited about is the openness of the platform, right? Being able to allow our partners to leverage Green Lake Central with open API so that they can integrate some of their own technologies into our platform. Uh the ability to allow them to also layer in their own um managed services on top of the platform is key. Um And of course being able to build sort of these win win solutions with the system Integrators, right. The system Integrators have some fantastic capabilities all the way from an application development, all the way down to the infrastructure management and data center delivery centers that they have. And so leveraging HP Green Lake um really helps them have access to core technologies that they need to deliver these solutions. >>I wonder if I could take a little sort of side road here and ask you because so many changes going on HP itself is transforming your customers are transforming the pandemic has accelerated all these transformations. Can you talk a little bit about how you've transformed go to market specifically in the context of of as a service? I mean that had to be quite a change for you guys. >>Yeah, no, go to market transformations in support of sort of moving from traditional go to markets right to call, go to markets or significant. Um They required us to really think through what does delivering as a service solutions mean for our direct sales force? What does it mean for our partners and their transformations and being able to support as a service solutions? Um for HP specifically, it also means um thinking about our customer outcomes, not just our ability to ship them, you know, the requisite hardware and say, look, once it's left our dog, our job is done right. It really takes our obligation all the way to the customer using the technology on a day by day basis, as well as supporting them in making sure that everything from implementation to set up to the ongoing monitoring operations of the technology is working for them in the way that they expect in an as a service way, right? We don't expect them to operate it. We don't expect them to, you know, do anything more than pick up the phone and call us if something doesn't go as planned. >>And how about your sellers and your partners? How did they respond? I mean you just wake up one day is okay guys, here we go, new compensation scheme, new way to sell new way to market that that took some thought in some time. And where are you in that journey? >>That's right. And I always say, you know, if you expect people to wake up one day and be transformed, right? You're kidding yourself. Um So everything from sort of the way that we think about our customers use cases, right? And empowering our sellers to understand the outcomes that our customers expect and demand from us to things like compensation too. You know, the partner rebate program that we leverage through the channel partners in order to give them the right incentives to also allow them to make the right investments to support Green Lake. Um, you know, we've all, you know, HP has a fairly significant field sales and solution team and so not thinking about this only as a single person that represents Green Lake, but looking at our capabilities across the board, right. We have fantastic advisory consultants on the ground with phds and data science. We have folks that understand, you know, high performance computing, so making sure that we're embedding the expertise in all of the right personas that support our customers, not just from a calm perspective, but also from an understanding of the end to end solutions that we're bringing to those markets. >>So what gets you stoked in the morning, you get out of bed and you're like, okay, I'm gonna go attack the world. What are you most excited about for H P E and his future? >>You know, it's, there's so much happening right now in this sort of cloud world. Right? Um to me the most exciting portion is the fact that given that we've now introduced on prem cloud to the world, our ability to ship new services and new capabilities, um, but also do that via a very rich partner ecosystem honestly is what probably has me most excited. This is no longer the age of go at it alone, Right. So not only are engineering and product teams hard at work in the engine room producing, you know, capabilities at sort of lightening fast speeds, but it's also our ability to partner, uh you know, whether it's with platform providers, you know, software providers or, you know, system Integrators and services providers, that ecosystem is starting to come together to deliver highly meaningful solutions to our customers and all in a very open way. Um, the number one thing that I personally care about is that our customers never feel like they are being locked in or that they are sort of being forced to have to give up certain levels of capabilities. We want to give them the best of what's out there and allow them to then have that flexibility in their solution. >>And one of the challenges, of course with virtual events is you don't have the hallway track. You know, somebody can't say, hey, have you seen that IOT zone? It's amazing. They got all these robots going around. But so what, what would you say that people should be focused on the discovery maybe things that you want to call out specific highlights or segments that you think are relevant? >>Yeah, there's gonna be a ton of fantastic stuff I think, um you know, really looking for that edge to cloud strategy, um that we're gonna be spending a lot of time talking about um looking at some of our vertical workload solutions, right. We're gonna be talking about quite a few from electronic health care records to payment solutions. Um and many more I think depending on what folks are interested in, there's gonna be something for everyone. Um Project Aurora, which now starts to announce our new security capabilities. Um, you know, the zero trust capabilities that we're delivering um is probably interesting to a lot of our customers, so lots of exciting things coming and I'm excited for our customers to check this out. >>No doubt that's a hot topic. Especially given what's been happening the news these past several months. All right, well, thanks so much for coming back in. The cube is great to see you hopefully face to face next time. >>I sure hope so. Thanks so much for having me. >>It's our pleasure. And thank you for watching and thank you for being with us and our ongoing coverage of HPD discovered 2021. This is Dave Volonte. You're watching the cube, The leader and digital tech coverage. >>Yeah.
SUMMARY :
Good to see you again. I'm interested in the experience that everybody has been dreaming about describe how you're to get modern cloud capabilities or the benefits of things like, you know, pay as you go for And to me, you know what I tell C I O S and mean from H. P. S. Perspective and what our customers telling you that it means for them. I think many of us are you know, leveraging some, I mean it's it's it's you know, and you know, the real sort of a challenge for them is but if the products are still, you know, kind of boxes and Luns and, and gigahertz of that do matter because they, you know, make for some very powerful infrastructure. Why is it compelling and why do you give me competitive Uh the ability to allow them to also layer in their own um managed services I mean that had to be quite a change not just our ability to ship them, you know, the requisite hardware and say, And where are you in that journey? And I always say, you know, if you expect people to wake up one day and be transformed, So what gets you stoked in the morning, you get out of bed and you're like, okay, I'm gonna go attack the world. but it's also our ability to partner, uh you know, whether it's with platform providers, And one of the challenges, of course with virtual events is you don't have the hallway track. Yeah, there's gonna be a ton of fantastic stuff I think, um you know, The cube is great to see you hopefully face to face next time. I sure hope so. And thank you for watching and thank you for being with us and our ongoing coverage of HPD discovered 2021.
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Rashmi Kumar SVP and CIO at Hewlett Packard Enterprise
>>Welcome back to HP discover 2021 My name is Dave Volonte and you're watching the cubes, virtual coverage of H. P. S. Big customer event. Of course, the virtual edition, we're gonna dig into transformations the role of technology in the role of senior technology leadership. Look, let's face it, H P. E. Has gone through a pretty dramatic transformation itself in the past few years. So it makes a great example in case study and with me is rashmi kumari who is the senior vice president and C. I. O. At HP rashmi welcome come on inside the cube. >>Dave Nice to be here. >>Well, it's been almost a year since Covid changed the world as we know it. How would you say the role of the CEO specifically and generally it has changed. I mean you got digital Zero Trust has gone from buzzword to >>mandate >>digital. Everybody was complacent about digital in many ways and now it's really accelerated remote work hybrid. How do you see it? >>Absolutely. As I said in the last discover that Covid has been the biggest reason to accelerate digital transformation in the company's I. C. C. I O. S role has changed tremendously in the last 15 months. It's no more just keep the operations running that's become a table stick. Our roles have become not only to create digital customer experience engaged with our customers in different ways, but also to transform the company operations from inside out to be able to give that digital experience from beginning to end off the customer engagement going forward. We have also become responsible for switching our strategies around the companies as the Covid. Covid hit in different parts of the world at different times and how companies structured their operations to go from one region to another. A global company like H. B had to look into its supply chain differently. Had to look into strategies to mitigate the risk that was created because of the supply chain disruptions as well as you go to taking care of our employees. How do you create this digital collaboration experience where teams can still come together and make the work happen for our end customers? How do we think about future employee engagement when people are not coming into these big buildings and offices and working together, But how to create the same level of collaboration coordination as well as delivery or faster uh goods and services which is enabled by technology going forward. So see I. O. And I. T. S. Role has gone from giving a different level of customer experience to a different level of employee experience as well as enabling day to day operations of the company's. Ceos have realized that digital is the way to go forward. It does not matter what industry you are in and now see a as have their seat at the table to define what the future of every company now, which is a technology company respective you are in oil and gas or mining or a technical product or a card or a mobility company. End of the day you have to act and behave like a technology company. >>So I want to ask you about that because you've you've been a Ceo and uh you know, leading technology provider now for the last three years and you've had previous roles and where you know non technical technology, you know, selling to I. T. Companies and as you point out those worlds are coming together, everybody is a technology company today. How do you think that changes the role of the C. I. O. Because it would always seem to me that there was a difference between A C. I. O. And a tech company. You know what I mean by that? And the C. I. O. It's sort of every other company is those two worlds converging. >>Absolutely. And it's interesting you pointed out that I have worked in many different industries from healthcare and pharma to entertainment to utilities. Um And now at a technology company end of the day um The issues that I. T. Deals with are pretty similar across the organization. What is different here is now my customers are people like me in other industries and I have a little bit of an advantage because just having the experience across various ecosystem. Even at H. B. Look I was fortunate um at H. B. Because of Antonio's leadership, we have topped out mandate to transform how we did business. And I talked about my next gen IT program in last year's cube interview. But at the same time while we were changing our customer partners experience from ordering to order processing to supply chain to finance. Uh We decided this pivot of becoming as a service company. And if you think about that pivot it's pretty common if it was a technology company or non technology company at HP. We were very used to selling a product and coming back three years later at the time of refresh of infrastructure or hardware. That's no more true for us now we are becoming as a service or a subscription company and I. T. Played a major role to enable that quote to cash experience. Which is very different than the traditional experience around how we stay connected with our customer, how we proactively understand their behavior. I always talk about this term. Um Digital exhaust which results into data which can result into better insight and you can not only Upsell cross l because now you have more data about your product usage, but first and the foremost give what your customer wants in a much better way because you can proactively understand their needs and wants because you are providing a digital product versus a physical product. So this is the change that most of the companies are now going through. If you look at Domino's transition, there are pills a sellers but they did better because they had better digital experience. If you look at Chipotle, these are food service companies I. K which is a furniture manufacturer across the board. We have helped our customers and industries to understand how to become a more digital provider. And and remember when uh hp says edge to cloud platform as a service edges the product, the customers who we deal with and how do we get that? Help them get their data to understand how the product is behaving and then get the information to cloud for further analysis. Um and understanding from the data that comes out of the products that gets up, >>I think you've been HP now think around three years and I've been watching of course for decades. Hp. Hp then HP is I feel like it's entering now the sort of third phase of its transformation, your phase one was okay, we gotta figure out how to deal or or operate as a separate companies. Okay. That took some time and then it was okay. Now how do we align our resources and you know, what are the waves that we're gonna ride? And how do we how do we take our human capital, our investments and what bets do we place and and all in on as a service. And now it's like okay how do we deliver on all those promises? So pretty massive transformations. You talked about edge to cloud as a service so you've got this huge pivot in your in your business. What's the technology strategy to support that transformation? >>Yeah that's a that's a great question. So as I mentioned first your second phase which was becoming a stand alone company was the next N. I. T. Program very broad and um S. Four and 60 related ecosystem application. We're even in the traditional business there was a realization that we were 100 20 billion company. We are 30 billion company. We need different types of technologies as well as more integrated across our product line across the globe. And um we I'm very happy to report that we are the last leg of next in I. T. Transformation where we have brought in new customer experience through low touch or not touch order pressing. A very strong as four capabilities. Where we are now able to run all global orders across all our hardware and services business together. And I'm happy to report that we have been able to successfully run through the transformation which a typical company of our size would take five or six years to do in around close to three years. But at the same time while we were building this foundation and the capabilities to be able to do other management, supply chain and data and analytics platforms. We also made the pivot to go to as a service now for as a service and subscription selling. It needs a very different quote to Kazakh cash experience for our customers and that's where we had to bring in um platforms like brim to do um subscription building, convergent charging and a whole different way to address. But we were lucky to have this transformation completed on which we could bolt on this new capability and we had the data and another X platform built which now these as a service products can also use to drive better insight into our customer behavior um as well as how they're using our product a real time for our operations teams. >>Well they say follow the money in the cube. We love to say follow the day to day is obviously a crucial component of competitive advantage business value. So you talk a little bit more about the role of data. I'm interested I'm interested in where I. T. Fits uh you know a lot of companies that have a Chief data officer or Ceo sometimes they're separate. Sometimes they they work you know for each other or Cdo works for C. I. O. How do you guys approach the whole data conversation? >>Yeah that's a that's a great question and has been top of the mind of a lot of C E O C I O S. Chief digital officers in many different companies. The way we have set it up here is do we do have a chief data officer and we do have a head of uh technology and platform and data within I. T. Look. The way I see is that I call the term data torture if we have multiple data lakes, if we have multiple data locations and the data is not coming together at one place at the first time that it comes out of the source system, we end up with data swamps and it's very difficult to drive insights. It's very difficult to have a single version of truth. So HP had two pronged approach. First one was as part of this next gen i. T. Transformation we embarked upon the journey first of all to define our customers and products in a very uniform way across the globe. It's called entity Master Data and Product Master Data Program. These were very very difficult program. We are now happy to report that we can understand the customer from code stage to servicing stage beginning to end across all our system. It's been a tough journey but it was a effort well spent at the same time while we were building this message capability, we also invest the time in our analytics platform because we are generating so much data now globally as one footprint. How do we link our data link to R. S. A. P. And Salesforce and all these systems where our customer data flows through and create analytics and insight from it from our customers or our operations team. At the same time, we also created a chief data officer role where the responsibility is really to drive business from understanding what decision making an analytics they need around product, around customer, around their usage, around their experience to be able to drive better alignment with our customers and products going forward. So this creates efficiencies in the organization. If you have a leader who is taking care of your platforms and data building single source of truth and you have a leader who is propagating this mature notion of handling data as enterprise data and driving that focus on understanding the metrics and the insight that the businesses need to drive better customer alignment. That's when we gain those efficiencies and behind the scenes, the chief data officer and the data leader within my organization worked very, very closely to understand each other needs sometimes out of the possible where do we need the data processing? Is it at the edge? Is it in the cloud? What's the best way to drive the technology and the platform forward? And they kind of rely on each other's knowledge and intelligence to give us give us superior results. And I have done data analytics in many different companies. This model works where you have focused on insight and analytics without because data without insight is of no value, but at the same time you need clean data. You need efficient, fast platforms to process that insight at the functional nonfunctional requirements that are business partners have and that's how we have established in here and we have seen many successes recently. As of now, >>I want to ask you a kind of a harder maybe it's not harder question. It's a weird question around single version of the truth because it's clearly a challenge for organizations and there's many applications workloads that require that single version of the truth. The operational systems, the transaction systems, the HR the salesforce. Clearly you have to have a single version of the truth. I feel like however we're on the cusp of a new era where business lines see an opportunity for whatever their own truth to work with a partner to create some kind of new data product. And it's early days in that. But I want to and maybe not the right question for HP. But I wonder if you see it with in your ecosystems where where it's it's yes, single version of truth is sort of one class of data and analytics gotta have that nail down data quality, everything else. But then there's this sort of artistic version of the data where business people need more freedom. They need more latitude to create. Are you seeing that? And maybe you can help me put that into context. >>Uh, that's a great question. David. I'm glad you asked it. So I think tom Davenport who is known in the data space talks about the offensive and the defensive use cases of leveraging data. I think the piece that you talked about where it's clean, it's pristine, it's quality. It's all that most of those offer the offensive use cases where you are improving company's operations incrementally because you have very clean that I have very good understanding of how my territories are doing, how my customers are doing how my products are doing. How am I meeting my sls or how my financials are looking? There's no room for failure in that area. The other area is though, which works on the same set of data. It's not a different set of data, but the need is more around finding needles in the haystack to come up with new needs, new ones and customers or new business models that we go with. The way we have done it is we do take this data take out what's not allowed for everybody to be seen and then what we call is a private space. But that's this entire data available to our business leader, not real time because the need is not as real time because they're doing more what we call this predictive analytics to be able to leverage the same data set and run their analytics. And we work very closely with business in its we educate them. We tell them how to leverage this data set and use it and gather their feedback to understand what they need in that space to continue to run with their with their analytics. I think as we talk about hindsight insight and foresight hindsight and insight happens more from this clean data lakes where you have authenticity, you have quality and then most of the foresight happens in a different space where the users have more leverage to use data in many different ways to drive analytics and insights which is not readily available. >>Thank you for that. That's interesting discussion. You know digital transformation. It's a journey and it's going to take many years. A lot of ways, not a lot of ways 2020 was a forced March to digital. If you weren't a digital business, you were out of business and you really didn't have much time to plan. So now organizations are stepping back saying, okay let's really lean into our strategy the journey and along the way there's gonna be blind spots, there's bumps in the road when you look out what are the potential disruptions that you see maybe in terms of how companies are currently approaching their digital transformations? That's a great question. >>Dave and I'm going to take a little bit more longer term view on this topic. Right in what's top of my mind um recently is the whole topic of E. S. G. Environmental, social and governance. Most of the companies have governance in place, right? Because they are either public companies or they're under some kind of uh scrutiny from different regulatory bodies or what not. Even if you're a startup, you need to do things with our customers and what not. It has been there for companies. It continues to be there. We the public companies are very good at making sure that we have the right compliance, right privacy, right governance in in in place. Now we'll talk about cyber security. I think that creates a whole new challenge in that governance space. However, we have the set up within our companies to be able to handle that challenge. Now, when we go to social, what happened last year was really important. And now as each and every company, we need to think about what are we doing from our perspective to play our part in that. And not only the bigger companies leaders at our level, I would say that Between last March and this year, I have hired more than 400 people during pandemic, which was all virtual, but me and my team have made sure that we are doing the right thing to drive inclusion and diversity, which is also very big objective for h P E. And Antonio himself has been very active in various round tables in us at the world Economic forum level and I think it's really important for companies to create that opportunity, remove that disparity that's there for the underserved communities. If we want to continue to be successful in this world too, create innovative products and services, we need to sell it to the broader cross section of populations and to be able to do that, we need to bring them in our fold and enable them to create that um, equal consumption capabilities across different sets of people. Hp has taken many initiatives and so are many companies. I feel like uh, The momentum that companies have now created around the topic of equality is very important. I'm also very excited to see that a lot of startups are now coming up to serve that 99% versus just the shiny ones, as you know, in the bay area to create better delivery methods of food or products. Right. The third piece, which is environmental, is extremely important as well as we have seen recently in many companies and where even the dollar or the economic value is flowing are around the companies which are serious about environmental HP recently published its living Progress report. We have been in the forefront of innovation to reduce carbon emissions, we help our customers, um, through those processes. Again, if we do, if our planet is on fire, none of us will exist, right. So we all have to do that every little part to be able to do better. And I'm happy to report, I myself as a person, solar panels, battery electric cars, whatever I can do, but I think something more needs to happen right where as an individual I need to pitch in, but maybe utilities will be so green in the future that I don't need to put panels on my roof, which again creates a different kind of uh waste going forward. So when you ask me about disruptions, I personally feel that successful company like ours have to have E. S. G. Top of their mind and think of products and services from that perspective, which creates equal opportunity for people, which creates better environment sustainability going forward. And, you know, our customers are investors are very interested in seeing what we are doing to be able to serve that cause uh for for bigger cross section of companies, and I'm most of the time very happy to share with my C I. O cohort around how are H. P E F s capabilities creates or feeds into the circular economy, how much e waste we have recycled or kept it off of landfills are green capabilities, How it reduces the evils going forward as well as our sustainability initiatives, which can help other, see IOS to be more um carbon neutral going forward as well. >>You know, that's a great answer, rashmi, thank you for that because I gotta tell you hear a lot of mumbo jumbo about E S G. But that was a very substantive, thoughtful response that I think, I think tech companies in particular are have to lead in our leading in this area. So I really appreciate that sentiment. I want to end with a very important topic which is cyber. It's obviously, you know, escalated in, in the news the last several months. It's always in the news, but You know, 10 or 15 years ago there was this mentality of failure equals fire. Now we realize, hey, they're gonna get in, it's how you handle it. Cyber has become a board level topic, you know? Years ago there was a lot of discussion, oh, you can't have the sec ops team working for the C. I. O. Because that's like the Fox watching the Henhouse, that's changed. Uh it's been a real awakening, a kind of a rude awakening. So the world is now more virtual, you've gotta secure physical uh assets. I mean, any knucklehead can now become a ransomware attack, er they can, they can, they can buy ransomware as a services in the dark, dark web. So that's something we've never seen before. You're seeing supply chains get hacked and self forming malware. I mean, it's a really scary time. So you've got these intellectual assets, it's a top priority for organizations. Are you seeing a convergence of the sea? So roll the C. I. O. Roll the line of business roles relative to sort of prior years in terms of driving security throughout organizations. >>This is a great question. And this was a big discussion at my public board meeting a couple of days ago. It's as as I talk about many topics, if you think digital, if you think data, if you think is you, it's no more one organizations, business, it's now everybody's responsibility. I saw a Wall Street Journal article a couple of days ago where Somebody has compared cyber to 9-11-type scenario that if it happens for a company, that's the level of impact you feel on your on your operations. So, you know, all models are going to change where C so reports to see IO at H P E. We are also into products or security and that's why I see. So is a peer of mine who I worked with very closely who also worked with product teams where we are saving our customers from a lot of pain in this space going forward. And H. B. E. Itself is investing enormous amount of efforts in time in coming out of products which are which are secured and are not vulnerable to these types of attacks. The way I see it is see So role has become extremely critical in every company and the big part of that role is to make people understand that cybersecurity is also everybody's responsibility. That's why in I. T. V. Propagate def sec ups. Um As we talk about it, we are very very careful about picking the right products and services. This is one area where companies cannot shy away from investing. You have to continuously looking at cyber security architecture, you have to continuously look at and understand where the gaps are and how do we switch our product or service that we use from the providers to make sure our companies stay secure The training, not only for individual employees around anti phishing or what does cybersecurity mean, but also to the executive committee and to the board around what cybersecurity means, what zero trust means, but at the same time doing drive ins, we did it for business continuity and disaster recovery. Before now at this time we do it for a ransomware attack and stay prepared as you mentioned. And we all say in tech community, it's always if not when no company can them their chest and say, oh, we are fully secured because something can happen going forward. But what is the readiness for something that can happen? It has to be handled at the same risk level as a pandemic or earthquake or a natural disaster. And assume that it's going to happen and how as a company we will behave when when something like this happen. So I'm here's believer in the framework of uh protect, detect, govern and respond um as these things happen. So we need to have exercises within the company to ensure that everybody is aware of the part that they play day today but at the same time when some event happen and making sure we do very periodic reviews of I. T. And cyber practices across the company. There is no more differentiation between I. T. And O. T. That was 10 years ago. I remember working with different industries where OT was totally out of reach of I. T. And guess what happened? Wanna cry and Petra and XP machines were still running your supply chains and they were not protected. So if it's a technology it needs to be protected. That's the mindset. People need to go with invest in education, training, um awareness of your employees, your management committee, your board and do frequent exercises to understand how to respond when something like this happen. See it's a big responsibility to protect our customer data, our customers operations and we all need to be responsible and accountable to be able to provide all our products and services to our customers when something unforeseen like this happens, >>Russian, very generous with your time. Thank you so much for coming back in the CUBA is great to have you again. >>Thank you. Dave was really nice chatting with you. Thanks >>for being with us for our ongoing coverage of HP discover 21 This is Dave Volonte, you're watching the virtual cube, the leader in digital tech coverage. Be right back. >>Mm hmm, mm.
SUMMARY :
in the role of senior technology leadership. I mean you got digital Zero Trust has gone from buzzword to How do you see it? End of the day you have to act and behave like a technology company. So I want to ask you about that because you've you've been a Ceo and uh you get the information to cloud for further analysis. What's the technology strategy to support that transformation? And I'm happy to report that we have been able to successfully run through We love to say follow the day to day is obviously a crucial component of I call the term data torture if we have multiple data lakes, if we have multiple data locations But I wonder if you see it with in your in that space to continue to run with their with their analytics. our strategy the journey and along the way there's gonna be blind We have been in the forefront of innovation to reduce carbon emissions, So roll the C. I. O. Roll the line of business roles relative to sort scenario that if it happens for a company, that's the level of impact you feel on Thank you so much for coming back in the CUBA is great to have you again. Dave was really nice chatting with you. cube, the leader in digital tech coverage.
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Simon Maple, Snyk | DockerCon 2021
>>mhm Yes. >>Hello and welcome back to the cubes coverage of dr khan 2021 virtual. I'm john Kerry hosted the Q got a great cube segment here. Simon Maple Field C T Oh it's technique. Great company security shifting left great to have you on Simon. Thanks for thanks for stopping by >>absolute pleasure. Thank you very much for having me. >>So you guys were on last year the big partnership with DR Conn remember that interview vividly because it was really the beginning at the beginning but really come to me the mainstream of shifting left as devops. It's not been it's been around for a while. But as a matter of practice as containers have been going super mainstream. Super ballistic in the developer community then you're seeing what's happening. It's containers everywhere. Security Now dev sec apps is the standard. So devops great infrastructure as code. We all know that but now it's def sec ops is standard. This is the real deal. Give us the update on what's going on with sneak. >>Absolutely, yeah. And you know, we're still tireless in our approach of trying to get make sure developers don't just have the visibility of security but are very much empowered in terms of actually fixing issues and secure development is what we're really striving for. So yeah, the update, we're still very, very deep into a partnership with DACA. We have updates on DR desktop which allows developers to scan the containers on the command line, providing developers that really fast feedback as as early as possible. We also have uh, you know, new updates and support for running Docker scan on Lennox. Um, and yeah, you know, we're still there on the Docker hub and providing that security insights um, to, to users who are going to Docker hub to grab their images. >>Well, for the folks watching maybe for the first time, the sneak Docker partnership, we went in great detail last year was the big reveal why Docker and sneak partnership, what is the evolution of that partnership over the year? They speak highly of you guys as a developer partner. Why Doctor? What's the evolution looked like? >>It's a it's a really great question. And I think, you know, when you look at the combination of DACA and sneak well actually let's take let's take each as an individual. Both companies are very, very developer focused. First of all, right, so our goals and will be strife or what we what we tirelessly spend their time doing is creating features and creating, creating an environment in which a developer you can do what they need to do as easily as possible. And that, you know, everyone says they want to be developer friendly, They want to be developer focused. But very few companies can achieve. And you look at a company like doctor, you're a company like sneak it really, really provides that developer with the developer experience that they need to actually get things done. Um, and it's not just about being in a place that a developer exists. It's not enough to do that. You need to provide a developer with that experience. So what we wanted to do was when we saw doctor and extremely developer friendly environment and a developer friendly company, when we saw the opportunity there to partner with Yoko, we wanted to provide our security developer friendliness and developer experience into an already developed a friendly tool. So what the partnership provides is the ease of, you know, deploying code in a container combined with the ease of testing your code for security issues and fixing security issues in your code and your container and pulling it together in one place. Now, one of the things which we as a as a security company um pride ourselves on is actually not necessarily saying we provide security tools. One of what our favorite way of saying is we're a developer tooling company. So we provide tools that are four developers now in doing that. It's important you go to where the developers are and developers on DACA are obviously in places like the Docker hub or the Docker Cli. And so it's important for us to embed that behavior and that ease of use inside Dhaka for us to have that uh that that flow. So the developer doesn't need to leave the Docker Cli developer that doesn't need to leave Docker hub in order to see that data. If you want to go deeper, then there are probably easier ways to find that data perhaps with sneak or on the sneak site or something like that. But the core is to get that insight to get that visibility and to get that remediation, you can see that directly in in the in the Dhaka environment. And so that's what makes the relationship so so powerful. The fact that you combine everything together and you do it at source >>and doing it at the point of code. >>Writing >>code is one of the big things I've always liked about the value proposition is simple shift left. Um So let's just step back for a second. I got to ask you this question because this I wanted to make sure we get this on the table. What are the main challenges uh and needs to, developers have with container security? What are you seeing as the main top uh A few things that they need to have right now for the challenges uh with container security? >>Yeah, it's a it's a very good question. And I think to answer that, I think we need to um we need to think of it in a couple of ways. First of all, you've just got developers security uh in general, across containers. Um And the that in itself is there are different levels at which developers engage with containers. Um In some organizations, you have security teams that are very stringent in terms of what developers can and can't do in other organizations. It's very much the developer that that chooses their environment, chooses their parent image, et cetera. And so there when a developer has many, many choices in which they need to need to decide on, some of those choices will lead to more issues, more risk. And when we look at a cloud native environment, um uh Let's take let's take a node uh image as an example, the number of different uh images tags you can choose from as a developer. It's you know, there are hundreds, probably thousands. That you can actually you can actually choose. What is the developer gonna do? Well, are they going to just copy paste from another doctor file, for example, most likely. What if there are issues in that docker file? They're just gonna copy paste that across mis configurations that exist. Not because the developer is making the wrong decision, but because the developer very often doesn't necessarily know that they need to add a specific directive in. Uh So it's not necessarily what you add in a conflict file, but it's very often what you admit. So there are a couple of things I would say from a developer point of view that are important when we think about cloud security, the first one is just that knowledge that understanding what they need to do, why they need to do it. Secure development doesn't need to be, doesn't mean they need to be deep in security. It means they need to understand how they can develop securely and what what the best decisions that could come from guard rails, from the security team that they provide the development team to offer. But that's the that's an important error of secure development. The second thing and I think one of the most important things is understanding or not understanding necessarily, but having the information to get an act on those things early. So we know the length of time that developers are uh working on a branch or working on um some some code changes that is reducing more and more and more so that we can push to production very, very quickly. Um What we need to do is make sure that as a developer is making their changes, they can make the right decision at the right time and they have the right information at that time. And a lot of this could be getting information from tools, could be getting information from your team where it could be getting information from your production environments and having that information early is extremely important to make. That decision. May be in isolation with your team in an autonomous way or with advice from the security team. But I would say those are the two things having that information that will allow you to make that action, that positive change. Um uh and and yeah, understanding and having that knowledge about how you can develop security. >>All right. So I have a security thing. So I'm a development team and by the way, this whole team's thing is a huge deal. I think we'll get to that. I want to come back to that in a second but just throw this out there. Got containers, got some security, it's out there and you got kubernetes clusters where containers are coming and going. Sometimes containers could have malware in them. Um and and this is, I've heard this out and about how do how that happens off container or off process? How do you know about it? Is that infected by someone else? I mean is it gonna be protected? How does the development team once it's released into the wild, so to speak. Not to be like that, but you get the idea, it's like, okay, I'm concerned off process this containers flying around. What is it How do you track all >>and you know, there's a there's a few things here that are kind of like potential potential areas that, you know, we can trip up when we think about malware that's running um there are certain things that we need to that we need to consider and what we're really looking at here are kind of, what do we have in place in the runtime that can kind of detect these issues are happening? How do we block that? And how do you provide that information back to the developer? The area that I think is, and that is very, very important in order to in order to be able to identify monitor that those environments and then feed that back. So that that that's the kind of thing that can be that can be fixed. Another aspect is, is the static issues and the static issues whether that's in your os in your OS packages, for example, that could be key binaries that exist in your in your in your docker container out the box as well or of course in your application, these are again, areas that are extremely important to detect and they can be detected very very early. So some things, you know, if it's malware in a package that has been identified as malware then absolutely. That can be that can be tracked very very early. Sometimes these things need to be detected a little bit later as well. But yeah, different tools for different for different environments and wear sneak is really focused. Is this static analysis as early as possible. >>Great, great insight there. Thanks for sharing that certainly. Certainly important. And you know, some companies classes are locked down and all of sudden incomes, you know, some some malware from a container, people worried about that. So I want to bring that up. Uh The other thing I want to ask you is this idea of end to end security um and this is a team formation thing we're seeing where modern teams have essentially visibility of their workload and to end. So this is a huge topic. And then by the way it might integrate their their app might integrate with other processes to that's great for containers as well and observe ability and microservices. So this is the trend. What's in it for the developer? If I work with sneak and docker, what benefits do I get if I want to go down that road of having these teams began to end, but I want the security built in. >>Mhm. Yeah, really, really important. And I think what's what's most important there is if we don't look end to end, there are component views and there are applications. If we don't look into end, we could have our development team fixing things that realistically aren't in production anyway or aren't the key risks that are potentially hurting us in our production environment. So it's important to have that end to end of you so that we have the right insights and can prioritize what we need to identify and look at early. Um, so I think, I think that visibility into end is extremely important. If we think about who, who is re fixing uh certain issues, again, this is gonna depend from dog to walk, but what we're seeing more and more is this becoming a developer lead initiative to not just find or be given that information, but ultimately fixed. They're getting more and more responsible for DR files for for I see for for their application code as well. So one of the areas which we've looked into as well is identifying and actually running in cuba Netease workloads to identify where the most important areas that a developer needs to look at and this is all about prioritization. So, you know, if the developer has just a component view and they have 100 different images, 100 different kubernetes conflicts, you know, et cetera. Where do they prioritize, where do they spend their time? They shouldn't consider everything equal. So this identification of where the workloads are running and what um is causing you the most risk as a business and as an organization, that is the data. That can be directly fed back into your, your your vulnerability data and then you can prioritize based on the kubernetes workloads that are in your production and that can be fed directly into the results in the dashboards. That's neat. Can provide you as well. So that end to end story really provides the context you need in order to not just develop securely, but act and action issues in a proper way. >>That's a great point. Context matters here because making it easy to do the right thing as early as possible, the right time is totally an efficiency productivity gain, you see in that that's clearly what people want. It's a great formula, success, reduce the time it takes to do something, reduced the steps and make it easy. Right, come on, that's a that's a formula. Okay, so I gotta bring that to the next level. When I ask you specifically around automation, this is one the hot topic and def sec ops, automation is part of it. You got scale, you got speed, you've got a I machine learning, you go out of all these new things. Microservices, how do you guys fit into the automation story? >>It's a great question. And you know, one of the recent reports that we that we did based on a survey data this year called the state of a state of cloud, native applications security. We we asked the question how automated our people in their in their deployment pipelines and we found some really strong correlations between value from a security point of view um in terms of in terms of having that automation in it, if I can take you through a couple of them and then I'll address that question about how we can be automated in that. So what we found is a really strong correlation as you would expect with security testing in ci in your source code repositories and all the way through the deployment ci and source code were the two of the most most well tested areas across the pipeline. However the most automated teams were twice as likely to test in I. D. S. And testing your CLS in local development. And now those are areas that are really hard to automate if at all because it's developers running running their cli developers running and testing in their I. D. So the having a full automation and full uh proper testing throughout the sclc actually encourages and and makes developers test more in their development environment. I'm not saying there's causation there but there's definite correlation. A couple of other things that this pushes is um Much much more likely to test daily or continuously being automated as you would expect because it's part of the bills as part of your monitoring. But crucially uh 73% of our respondents were able to fix a critical issue in less than a week as opposed to just over 30% of people that were not automated, so almost double people are More likely to fix within a week. 36% of people who are automated can fix a critical security issue in less than a day as opposed to 8% of people who aren't automated. So really strong data that correlates being automated with being able to react now. If you look at something like Sneak what if our um goals of obviously being developer friendly developer first and being able to integrate where developers are and throughout the pipeline we want to test everywhere and often. Okay, so we start as far left as we can um integrating into, you know, CLS integrating into Docker hub, integrating into into doctors can so at the command line you type in doctors can you get sneak embedded in DHAKA desktop to provide you those results so as early as possible, you get that data then all the way through to to uh get reposed providing that testing and automatically testing and importing results from there as well as as well as other repositories, container repositories, being at a poor from there and test then going into ci being able to run container tests in C I to make sure we're not regressing and to choose what we want to do their whether we break, whether we continue with with raising an issue or something like that, and then continuing beyond that into production. So we can monitor tests and automatically send pull requests, etcetera. As and when new issues or new fixes occur. So it's about integrating at every single stage, but providing some kind of action. So, for example, in our ui we provide the ability to say this is the base level you should be or could be at, it will reduce your number of vulnerabilities by X and as a result you're going to be that much more secure that action ability across the pipeline. >>That's a great, great data dump, that's a masterclass right there on automation. Thanks for sharing that sign. I appreciate it. I gotta ask you the next question that comes to my mind because I think this is kind of the dots connect for the customer is okay. I love this kind of hyper focus on containers and security. You guys are all over it, shift left as far as possible, be there all the time, test, test, test all through the life cycle of the code. Well, the one thing that is popping up as a huge growth areas, obviously hybrid cloud devops across both environments and the edge, whether it's five G industrial or intelligent edge, you're gonna have kubernetes clusters at the edge now. So you've got containers. The relationship to kubernetes and then ultimately cloud native work clothes at, say, the edge, which has data has containers. So there's a lot of stuff going on all over the place. What's your, what's your comment there for customer says, Hey, you know, I got, this is my architecture that's happening to me now. I'm building it out. We're comfortable with kubernetes put in containers everywhere, even on the edge how to sneak fit into that story. >>Yeah, really, really great question. And I think, you know, a lot of what we're doing right now is looking at a developer platform. So we care about, we care about everything that a developer can check in. Okay, so we care about get, we care about the repositories, we care about the artifact. So um, if you look at the expansion of our platform today, we've gone from code that people uh, third party libraries that people test. We added containers. We've also added infrastructure as code. So Cuban eighties conflicts, Terror form scripts and things like that. We're we're able to look at everything that the developer touches from their code with sneak code all the way through to your to your container. And I see, so I think, you know, as we see more and more of this pushing out into the edge, cuba Nitties conflict that that, you know, controls a lot of that. So much of this is now going to be or not going to be, but so much of the environment that we need to look at is in the configurations or the MIS configurations in that in those deployment scripts, um, these are some of the areas which which we care a lot about in terms of trying to identify those vulnerabilities, those miS configurations that exist within within those scripts. So I can see yeah more and more of this and there's a potential shift like that across to the edge. I think it's actually really exciting to be able to see, to be able to see those uh, those pushing across. I don't necessarily see any other, any, you know, different security threats or the threat landscape changing as a result of that. Um there could be differences in terms of configurations, in terms of miS configurations that that that could increase as a result, but, you know, a lot of this and it just needs to be dealt with in the appropriate way through tooling through, through education of of of of how that's done. >>Well, obviously threat vectors are all gonna look devops like there's no perimeter. So they're everywhere right? Looking at I think like a hacker to be being there. Great stuff. Quick question on the future relationship with DR. Obviously you're betting a lot here on that container relationship, a good place to start. A lot of benefits there. They have dependencies, they're going to have implications. People love them, they love to use them, helps old run with the new and helps the new run better. Certainly with kubernetes, everything gets better together. What's the future with the DACA relationship? Take us through how you see it. >>So yeah, I mean it's been an absolute blast the doctor and you know, even from looking at some of the internal internal chats, it's been it's been truly wonderful to see the, the way in which both the doctor and sneak from everything from an engineering point of view from a marketing, from a product team. It's been a pleasure to, it's been a pleasure to see that relationship grow and flourish. And, and I think there's two things, first of all, I think it's great that as companies, we, we both worked very, very well together. I think as as as users um seeing, you know, doctor and and and sneak work so so seamlessly and integrated a couple of things. I would love to see. Um, I think what we're gonna see more and more and this is one of the areas that I think, um you know, looking at the way sneak is going to be viewing security in general. We see a lot of components scanning a lot, a lot of people looking at a components can and seeing vulnerabilities in your components. Can I think what we need to, to to look more upon is consolidating a lot of the a lot of the data which we have in and around different scans. What I would love to see is perhaps, you know, if you're running something through doctors can how can you how can you view that data through through sneak perhaps how can we get that closer integration through the data that we that we see. So I would love to see a lot more of that occur, you know, within that relationship and these are kind of like, you know, we're getting to that at that stage where we see integration, it just various levels. So we have the integration where we have we are embedded but how can we make that better for say a sneak user who also comes to the sneak pages and wants to see that data through sneak. So I would love to see at that level uh more there where as I mentioned, we have we have some some additional support as well. So you can run doctors can from from Lenox as well. So I can see more and more of that support rolling out but but yeah, in terms of the future, that's where I would love to see us uh to grow more >>and I'll see in the landscape side on the industry side, um, security is going beyond the multiple control planes out there. Kubernetes surveillance service matches, etcetera, continues to be the horizontally scalable cloud world. I mean, and you got you mentioned the edge. So a lot more complexity to rein in and make easier. >>Yeah, I mean there's a lot more complexity, you know, from a security point of view, the technology is the ability to move quickly and react fast in production actually help security a lot because you know, being able to spin a container and make changes and and bring a container down. These things just weren't possible, you know, 10 years ago, 20 years ago. Pre that it's like it was it's insanely hard compared trying to trying to do that compared to just re spinning a container up. However, the issue I see from a security point of view, the concerns I see is more around a culture and an education point of view of we've got all this great tech and it's it's awesome but we need to do it correctly. So making sure that as you mentioned with making the right decision, what we want to make sure is that right decision is also the easy decision and the clear decision. So we just need to make sure that as we as we go down this journey and we're going down it fast and it's not gonna, I don't see it slowing down, we're going fast down that journey. How do we make, how do we prepare ourselves for that? We're already seeing, you know, miss configurations left, right and center in the news, I am roles as three buckets, etcetera. These are they're they're simpler fixes than we than we believe, right? We just need to identify them and and make those changes as needed. So we just need to make sure that that is in place as we go forward. But it's exciting times for sure. >>It's really exciting. And you got the scanning and right at the point of coding automation to help take that basic mis configuration, take that off the table. Not a lot of manual work, but ultimately get to that cloud scale cool stuff. >>Simon, thank you >>for coming on the cube dr khan coverage. Really appreciate your time. Drop some nice commentary there. Really appreciate it. Thank you. >>My pleasure. Thank you very much. >>Simon Maple Field C T. O. A sneak hot startup. Big partner with Docker Security, actually built in deVOPS, is now dead. Say cops. This is dr khan cube 2021 virtual coverage. I'm sean for your host. Thanks for watching. Mm.
SUMMARY :
Great company security shifting left great to have you on Simon. Thank you very much for having me. So you guys were on last year the big partnership with DR Conn remember that interview Um, and yeah, you know, we're still there on the Docker hub and providing that security They speak highly of you guys So the developer doesn't need to leave the Docker Cli developer that doesn't need to leave Docker hub in order I got to ask you this question because this I wanted to make sure we get this on the table. the number of different uh images tags you can choose from Not to be like that, but you get the idea, it's like, So some things, you know, if it's malware in a package that has been identified And you know, So it's important to have that end to end of you so that we success, reduce the time it takes to do something, reduced the steps and make it easy. doctors can so at the command line you type in doctors can you get sneak embedded in DHAKA desktop in containers everywhere, even on the edge how to sneak fit into that story. And I think, you know, a lot of what we're doing right now is looking at What's the future with the DACA relationship? So I would love to see a lot more of that occur, you know, So a lot more complexity to rein in and make easier. So making sure that as you mentioned with making the And you got the scanning and right at the point of coding automation to help take that for coming on the cube dr khan coverage. Thank you very much. actually built in deVOPS, is now dead.
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Quantcast The Cookie Conundrum: A Recipe for Success
>>what? Hello, I'm john free with the cube. I want to welcome Conrad Feldman, the founder and Ceo of Kwan cast here to kick off the quan cast industry summit on the demise of third party cookies. The events called the cookie conundrum, a recipe for success. The changing advertising landscape, super relevant conversation just now. More than ever. Conrad welcome to your own program kicking this off. Thanks for holding this event. It's a pleasure. Great to chat with you today. So a big fan been following your company since the founding of it. Been analytics is always the prize of any data driven company. Media. Anything's all data driven now. Um, talk about the open internet because now more than ever it's under siege. As I, as I mentioned in my open, um, we've been seeing the democratization, a new trend of decentralization. We're starting to see um, you know, everyone's present online now, Clay Shirky wrote a book called, here comes everyone in 2005. Well everyone's here. Right? So you know, we're here, it's gonna be more open. But yet people are looking at as close right now. You're seeing the big players, um, or in the data. What's your vision of this open internet? >>Well, an open internet exists for everyone. And if you think about the evolution of the internet, when the internet was created for the first time really in history, anyone that had access to the internet could publish the content, whatever they were interested in and could find an audience. And of course that's grown to where we are today, where five billion people around the world are able to engage in all sorts of content, whether that's entertainment or education, news, movies. What's perhaps not so widely understood is that most of that content is paid for by advertising and there's a lot of systems that support advertising on the open Internet and some of those are under siege today certainly. >>And what's the big pressure point? Is it just more control the data? Is it just that these walled gardens are wanting to, you know, suck the audience in there? Is that monetization driving it? What's where's the friction? >>Well, the challenges is sort of the accumulation of power into a really small number of now giant corporations who have actually reduced a lot of the friction that marketers have in spending their money effectively. And it means that those companies are capturing a disproportionate spend of the ad budgets that fund digital content. So the problem is if more of the money goes to them, less of its going to independent content creators. It's actually getting harder for independent voices to emerge and be heard. And so that's the real challenges. That has more power consolidates into just a limited number of tech giants. The funding path for the open Internet becomes constrained and there'll be less choice for consumers without having to pay for subscriptions. >>Everyone knows the more data you have the better and certainly, but the centralized power when the trend is going the other way, the consensus is everyone wants to be decentralized more truth, more trust all this is being talked about on the heels of the google's news around, you know, getting rid of third party cookies and others have followed suit. Um, what does this mean? I mean, this cookies have been the major vehicle for tracking and getting that kind of data. What is gonna be replaced with what is this all about? And can you share with us what the future will look like? >>Sure, Well, just as advertising funds the open Internet is advertising technology that supports that advertising spend. It supports sort of the business of advertising that funds the open Internet. And within all of that technology is the need for different systems to be able to align around um the identification of for example, a consumer, Have they been to this site before? Have they seen an ad before? So there's all of these different systems that might be used for advertising for measurement, for attribution, for creating personalization. And historically they've relied upon the third party cookie as the mechanism for synchronization. Well, the third party cookie has been in decline for some time. It's already mostly gone from actually apple safari browser, but google's chrome has so much control over how people access the internet. And so it was when Google announced that chrome was going to deprecate the third party cookie, that it really sort of focus the minds of the industry in terms of finding alternative ways to tailor content and ultimately to just simply measure the effectiveness of advertising. And so there's an enormous amount of um innovation taking place right now to find alternative solutions. >>You know, some are saying that the free open internet was pretty much killed when, you know, the big comes like facebook and google started bringing all this data and kind of pulls all sucks all the auction in the room, so to speak. What's this mean with cookies now getting, getting rid of um, by google has an impact publishers because is it helpful? I mean hurtful. I mean, where's the where is that, what the publisher impact? >>Well, I don't think anyone really knows right now. So first of all, cookies weren't necessarily a very good solution to the sort of the challenge of maintaining state and understanding those sorts of the delivery of advertising and so on. It's just the one that's commonly used, I think for different publishers it may mean different things. But many publishers need to be able to demonstrate the value and the effectiveness of the advertising solutions that they deliver. So they'll be innovating in terms of how they use their first party data. They'll be continuing to use contextual solutions that have long been used to create advertising relevant, relevant. I think the big question of course is how we're going to measure it that any of this is effective at all because everyone relies upon measuring advertising effectiveness to justify capturing those budgets in the first place. >>You know, you mentioned contextual come up a lot also in the other interviews we've done with the folks in the around the internet around this topic of machine learning is a big 12 What is the impact of this with the modernization of the solution? You mentioned cookies? Okay cookies, old technology. But the mechanisms in this ecosystem around it or not, it funds the open internet. What is that modern solution that goes that next level? Is it contextual metadata? Is that shared systems? What's the it's the modernization of that. >>It's all of those and and more. There's no there's no single solution to replace the third party cookie. There'll be a combination of solutions. Part of that will be alternative identity mechanisms. So you know, you will start to see more registration wars to access content so that you have what's called a deterministic identify there will be statistical models so called probabilistic models, contextual has always been important. It will become more important and it will be combined with we use contextual combining natural language processing with machine learning models to really understand the detailed context of different pages across the internet. You'll also see the use of first party data and there are discussions about shared data services as well. I think there's gonna be a whole set of different innovations that will need to inter operate and it's going to be an evolutionary process as people get used to using these different systems to satisfy the different stages of the media fulfillment cycle from research and planning to activation to measurement. >>You know, you put up walled gardens. I want to just touch on the on on this kind of concept of walled gardens and and and and compare and contrast that with the demand for community, open internet has always fostered a community vibe. You see network effects mostly in distinct user communities or subnets of sub networks. If you will kind of walled gardens became that kind of group get together but then became more of a media solution to make the user is the product, as they say, facebook's a great example, right? People talk about facebook and from that misinformation abuse walled garden is not the best thing happening right now in the world, but yet is there any other other choice? That's how they're going to make money? But yet everyone wants trust, truth community. Are they usually exclusive? How do you see this evolving, what's your take? >>Well, I think the open internet is a, is a forum where anyone can have their voice, uh, put their voice out there and have it discovered and it's in that regard, it's a it's a force for good look. I think there are there are challenges, obviously in terms of some of the some of the optimization that takes place with inside the walled gardens, which is, is sort of optimized to drive engagement can have some unintended consequences. Um obviously that's something that's, that's broadly being discussed today and the impact on society, but sort of more at a more pointed level, it's just the absorption of advertising dollars. There's a finite amount of money from advertisers. It's estimated to be $400 billion this year in digital advertising. So it's a huge amount of money in terms of funding the open Internet, which sounds great except for its increasingly concentrated in a tiny number of companies. And so, you know, our job at Quan cast as champions of the free and open Internet is to help direct money effectively to publishers across the open internet and give advertisers a reliable, repeatable way of accessing the audiences that they care about in the environment they care about and delivering advertising results. >>It's a publisher, we care a lot about what our audience wants and try to serve them and listen to them. If we could get the data, we want that data and then also broker in the monetization with advertisers, who might want to reach that audience in whatever way. So this brings up the question of, you know, automation and role of data. You know, this is a huge thing to having that data closed loop, if you will for for publishers. But yet most publishers are small, some niche. And even as they can become super large, they don't have all the data and more, the more data, the better the machine learning. So what's the answer to this as it goes forward? How do we get there? What's the dots that that we need to connect to get that future state? >>So I think it takes it takes companies working together effectively. I think a really important part of it is, is a more direct conversation with consumers. We've seen that change beginning to happen over the past few years with the introduction of regulations that require clear communication to consumers about the data that's captured. And y and I think that creates an opportunity to explain to your audience is the way in which content is funded. So I think that consumer that consumer conversation will be part of the collective solution. >>You know, I want to as we wind down this kickoff segment, get your thoughts and vision around um, the evolution of the internet and you guys have done some great work at quan Cast is well documented, but everyone used to talk about traffic by traffic, then it became cost of acquisitions. PPC search. This is either mechanisms that people have been using for a long, long time, then you know, your connections but audience is about traffic, audience traffic. If this if my family is online, doesn't it become about networks and the people. So I want to get your thoughts and your vision because if community is going to be more important than people agree that it is and things are gonna be decentralized, more openness, more voices to be heard. You need to dress ability. The formation of networks and groups become super important. What's your vision on that? >>So my vision is to create relevance and utility for consumers. I think that's one of the things that's often forgotten is that when we make advertising more relevant and useful for consumers, it automatically fulfils the objectives that publishers and marketers have, everyone wins when advertising is more relevant. And our vision is to make advertising relevant across the entire open internet so that that ad supported model can continue to flourish and that five billion and hopefully many more billions in the future, people around the world have access to high quality, diverse content. >>If someone asked you Conrad, what is quant cast doing to make the open internet viable now that cookies are going away? What's the answer? >>So well, the cookie pieces is a central piece of it in terms of finding solutions that will enable sort of planning activation and measurement post cookies and we have a lot of innovation going on. There were also working with a range of industry bodies and our and our partners to build solutions for this. What we're really trying to do is to make buying the open internet as straightforward for marketers as it is today and buying the walled gardens. The reason the walled gardens capture so much money is they made it really easy for marketers to get results, marketers would like to be able to spend their money across all of the diverse publishes the open internet. You know, our job at Comcast is to make it just as easy to effectively spend money in funding the content that they really care about in reaching the audiences that they want. >>Great stuff. Great Mission. Conrad, thanks for coming on. Conrad Feldmann founder and Ceo here at the cookie conundrum recipe for success event, Quant Cast Industry summit on the demise of third party cookies. Thank you. Conrad appreciate it. Thank you. Yeah, I'm john ferrier, stay with us for more on the industry event around the middle cookies. Mhm Yeah, yeah, thank you. Mhm. Welcome back to the Qantas industry summit on the demise of third party cookies, the cookie conundrum, a recipe for success. I'm john furrier host of the cube, the changing landscape of advertising is here and shit Gupta, founder of you of digital is joining us chief. Thanks for coming on this segment. Really appreciate, I know you're busy, you've got two young kids as well as providing education to the digital industry, you got some kids to take care of and train them to. So welcome to the cube conversation here as part of the program. >>Yeah, thanks for having me excited to be here. >>So the office of the changing landscape of advertising really centers around the open to walled garden mindset of the web and the big power players. We know the big 34 tech players dominate the marketplace so clearly in a major inflection point and we've seen this movie before Web mobile revolution which was basically a reply platform NG of capabilities. But now we're in an error of re factoring the industry, not re platt forming a complete changing over of the value proposition. So a lot at stake here as this open web, open internet, global internet evolves. What are your, what's your take on this, this industry proposals out there that are talking to this specific cookie issue? What does it mean? And what proposals are out there? >>Yeah, so, you know, I I really view the identity proposals and kind of to to kind of groups, two separate groups. So on one side you have what the walled gardens are doing and really that's being led by google. Right, so google um you know, introduce something called the privacy sandbox when they announced that they would be deprecating third party cookies uh as part of the privacy sandbox, they've had a number of proposals unfortunately, or you know, however you want to say they're all bird themed for some reason, I don't know why. Um but the one, the bird theme proposal that they've chosen to move forward with is called flock, which stands for Federated learning of cohorts. And essentially what it all boils down to is google is moving forward with cohort level learning and understanding of users in the future after third party cookies, unlike what we've been accustomed to in this space, which is a user level understanding of people and what they're doing online for targeting tracking purposes. And so that's on one side of the equation, it's what google is doing with flock and privacy sandbox now on the other side is, you know, things like unified I. D. Two point or the work that I. D five is doing around building new identity frameworks for the entire space that actually can still get down to the user level. Right? And so again, unified I. D. Two point oh comes to mind because it's the one that's probably got the most adoption in the space. It's an open source framework. So the idea is that it's free and pretty much publicly available to anybody that wants to use it and unified, I need to point out again is user level. So it's it's basically taking data that's authenticated data from users across various websites you know that are logging in and taking those authenticated users to create some kind of identity map. And so if you think about those two work streams right, you've got the walled gardens and or you know, google with flock on one side and then you've got unified I. D. Two point oh and other I. D. Frameworks for the open internet. On the other side, you've got these two very differing type of approaches to identity in the future. Again on the google side it's cohort level, it's going to be built into chrome. Um The idea is that you can pretty much do a lot of the things that we do with advertising today, but now you're just doing it at a group level so that you're protecting privacy, whereas on the other side of the open internet you're still getting down to the user level. Um And that's pretty powerful. But the the issue there is scale, right? We know that a lot of people are not logged in on lots of websites. I think the stat that I saw is under five of all website traffic is authenticated. So really if you if you simplify things you boil it all down, you have kind of these two very differing approaches. >>I guess the question it really comes down to what alternatives are out there for cookies and which ones do you think will be more successful? Because I think, you know, the consensus is at least from my reporting, in my view, is that the world agrees. Let's make it open, Which one is going to be better. >>Yeah, that's a great question, john So as I mentioned, right, we have we have to kind of work streams here, we've got the walled garden work streams, work stream being led by google and their work around flock, and then we've got the open internet, right? Let's say unified I. D to kind of represents that. I personally don't believe that there is a right answer or an endgame here. I don't think that one of them wins over the other, frankly, I think that, you know, first of all, you have those two frameworks, neither of them are perfect, they're both flawed in their own ways. There are pros and cons to both of them. And so what we're starting to see now is you have other companies kind of coming in and building on top of both of them as kind of a hybrid solution. Right? So they're saying, hey, we use, you know, an open I. D. Framework in this way to get down to the user level and use that authenticated data and that's important. But we don't have all the scale. So now we go to google and we go to flock to kind of fill the scale. Oh and hey, by the way, we have some of our own special sauce, right? We have some of our own data, we have some of our own partnerships, we're gonna bring that in and layer it on top. Right? And so really where I think things are headed is the right answer, frankly, is not one or the other. It's a little mishmash of both. With a little extra something on top. I think that's that's what we're starting to see out of a lot of companies in the space. And I think that's frankly where we're headed. >>What do you think the industry will evolve to, in your opinion? Because I think this is gonna, you can't ignore the big guys on this because these programmatic you mentioned also the data is there. But what do you think the market will evolve to with this, with this conundrum? >>So, so I think john where we're headed? You know, I think we're right now we're having this existential existential crisis, right? About identity in this industry, because our world is being turned upside down, all the mechanisms that we've used for years and years are being thrown out the window and we're being told they were gonna have new mechanisms, Right? So cookies are going away device ids are going away and now we got to come up with new things and so the world is being turned upside down and everything that you read about in the trades and you know, we're here talking about it, right? Like everyone's always talking about identity right now, where do I think this is going if I was to look into my crystal ball, you know, this is how I would kind of play this out. If you think about identity today. Right? Forget about all the changes. Just think about it now and maybe a few years before today, Identity for marketers in my opinion has been a little bit of a checkbox activity. Right? It's been hey, um, okay, uh, you know ad tech company or a media company, do you have an identity solution? Okay. Tell me a little bit more about it. Okay, Sounds good. That sounds good. Now can we move on and talk about my business and how are you going to drive meaningful outcomes or whatever for my business? And I believe the reason that is, is because identity is a little abstract, right? It's not something that you can actually get meaningful validation against. It's just something that, you know. Yes, You have it. Okay, great. Let's move on, type of thing. Right. And so that, that's, that's kind of where we've been now, all of a sudden The cookies are going away, the device ids are going away. And so the world is turning upside down in this crisis of how are we going to keep doing what we were doing for the last 10 years in the future. So everyone's talking about it and we're trying to re engineer right? The mechanisms now if I was to look into the crystal ball right 2 3 years from now where I think we're headed is not much is going to change. And what I mean by that john is um uh I think that marketers will still go to companies and say do you have an ID solution? Okay tell me more about it. Okay uh Let me understand a little bit better. Okay you do it this way. Sounds good. Now the ways in which companies are going to do it will be different right now. It's flock and unified I. D. And this and that right. The ways the mechanisms will be a little bit different but the end state right? Like the actual way in which we operate as an industry and kind of like the view of the landscape in my opinion will be very simple or very similar, right? Because marketers will still view it as a tell me you have an ID solution. Make me feel good about it. Help me check the box and let's move on and talk about my business and how you're going to solve for my needs. So I think that's where we're going. That is not by any means to discount this existential moment that we're in. This is a really important moment where we do have to talk about and figure out what we're going to do in the future. My just my viewpoint is that the future will actually not look all that different than the present. >>And I'll say the user base is the audience. Their their data behind it helps create new experiences, machine learning and Ai are going to create those and we have the data you have the sharing it or using it as we're finding shit Gupta great insight dropping some nice gems here. Founder of you of Digital and also the Adjunct professor of Programmatic advertising at Levi School of Business and santa Clara University professor. Thank you for coming dropping the gems here and insight. Thank you. >>Thanks a lot for having me john really appreciate >>it. Thanks for watching. The cooking 100 is the cube host Jon ferrier me. Thanks for watching. Mhm. Yeah. Mhm. Hello welcome back to the cookie conundrum recipe for success and industry conference and summit from Guanacaste on the demise of third party cookies. Got a great industry panel here to break it down chris Gunther Senior Vice president Global Head of programmatic at news corp chris thanks for coming on Zal in Managing Director Solutions at Z axis and Summer Simpson. Vice president Product at quan cast stellar panel. Looking forward to this conversation. Uh thanks for coming on and chatting about the cookie conundrum. Thank you for having us. So chris we'll start with you at news corp obviously a major publisher deprecation of third party cookies affects everyone. You guys have a ton of traffic, ton of audience across multiple formats. Um, tell us about the impact to you guys and the reliance he has had on them. And what are you gonna do to prepare for this next level change? >>Sure. I mean, I think like everyone in this industry there's uh a significant reliance and I think it's something that a lot of talk about audience targeting but obviously that reliance on third party cookies pervasive across the whole at tech ecosystem Martek stack. And so you know, we have to think about how that impact vendor vendors, we work with what it means in terms of use cases across marketing, across advertising, across site experience. So, you know, without a doubt, it it's it's significant, but you know, we look at it as listen, it's disruptive, uh, disruption and change is always a little scary. Um, but overall it's a, it's a long overdue reset. I mean, I think that, you know, our perspective is that the cookies, as we all know was it was a crutch, right sort of a technology being used in way it shouldn't. Um, and so as we look at what's going to happen presumably after Jan 2022 then it's, it's a good way to kind of fix on some bad practices practices that lead to data leakage, um, practice or devalue for our perspective, some of the, you know, we offered as as publishers and I think that this is a key thing is that we're not just looking to as we look at the post gender world, not just kind of recreating the prior world because the prior world was flawed or I guess you could say the current world since it hasn't changed yet. But the current world is flawed. Let's not just not, you know, let's not just replicate that. Let's make sure that, you know, third party cookie goes away. Other work around like fingerprinting and things like that. You know, also go away so philosophically, that's where our heads at. And so as we look at how we are preparing, you know, you look at what are the core building blocks of preparing for this world. Obviously one of the key ones is privacy compliance. Like how do we treat our users with consent? Yeah, obviously. Are we um aligned with the regulatory environments? Yeah. In some ways we're not looking just a Jan 2022, but Jan 23 where there's gonna be the majority of our audiences we covered by regulation. And so I think from regulation up to data gathering to data activation, all built around an internal identifier that we've developed that allows us to have a consistent look at our users whether they're logged in or obviously anonymous. So it's really looking across all those components across all our sites and in all in a privacy compliant way. So a lot of work to be done, a lot of work in progress. But we're >>excited about what's going on. I like how you framed at Old world or next gen kind of the current situation kind of flawed. And as you think about programmatic, the concept is mind blowing and what needs to be done. So we'll come back to that because I think that original content view is certainly relevant, a huge investment and you've got great content and audience consuming it from a major media standpoint. Get your perspective on the impact because you've got clients who want to get their their message out in front of the audience at the right time, at the right place and the right context. Right, So your privacy, you got consent, all these things kind of boiling up. How do you help clients prepare? Because now they can go direct to the consumer. Everyone, everyone has a megaphone, now, everyone's, everyone's here, everyone's connected. So how are you impacted by this new notion? >>You know, if if the cookie list future was a tic tac, dance will be dancing right now, and at least into the next year, um this has been top of mind for us and our clients for quite some time, but I think as each day passes, the picture becomes clearer and more in focus. Uh the end of the third party cookie does not mean the end of programmatic. Um so clients work with us in transforming their investments into real business outcomes based on our expertise and based on our tech. So we continue to be in a great position to lead to educate, to partner and to grow with them. Um, along this uh cookie list future, the impact will be all encompassing in changing the ways we do things now and also accelerating the things that we've already been building on. So we take it from the top planning will have a huge impact because it's gonna start becoming more strategic around real business outcomes. Uh where Omni channel, So clients want to drive outcomes, drew multiple touch points of a consumer's journey, whether it has programmatic, whether it has uh cookie free environment, like connected tv, digital home audio, gaming and so forth. So we're going to see more of these strategic holistic plans. Creative will have a lot of impact. It will start becoming more important with creative testing. Creative insights. You know, creative in itself is cookie list. So there will be more focused on how to drive uh brand dialogue to connect to consumers with less targeting. With less cookies, with the cohesiveness of holistic planning. Creative can align through multiple channels and lastly, the role of a. I will become increasingly important. You know, we've always looked to build our tech our products to complement new and existing technology as well as the client's own data and text back to deliver these outcomes for them. And ai in its core it's just taking input data uh and having an output of your desired outcome. So input data could be dSP data beyond cookies such as browser such as location, such as contextual or publisher taking clients first party data, first party crm data like store visitation, sales, site activity. Um and using that to optimize in real time regardless of what vendor or what channel we're on. Um So as we're learning more about this cookie list dance, we're helping our clients on the steps of it and also introducing our own moves. >>That's awesome. Data is going to be a key value proposition, connecting in with content real time. Great stuff. Somewhere with your background in journalism and you're the tech VP of product at quan cast. You have the keys to the kingdom over there. It's interesting Journalism is about truth and good content original content. But now you have a data challenge problem opportunity on both sides, brands and publishers coming together. It's a data problem in a way it's a it's a tech stack, not so much just getting the right as to show up at the right place the right time. It's really bigger than that now. What's your take on this? >>Um you know, >>so first >>I think that consumers already sort of like except that there is a reasonable value exchange for their data in order to access free content. Right? And that's that's a critical piece for us to all kind of like understand over the past. Hi guys, probably two years since even even before the G. D. P. R. We've been doing a ton of discovery with customers, both publishers and marketers. Um and so you know, we've kind of known this, this cookie going away thing has been coming. Um And you know, Google's announcement just kind of confirmed it and it's been, it's been really, really interesting since Google's announcement, how the conversations have changed with with our customers and other folks that we talked to. And I've almost gone from being like a product manager to a therapist because there's such an emotional response. Um you know, from the marketing perspective, there's real fear there. There's like, oh my God, how you know, it's not just about, you know, delivering ads, it's about how do I control frequency? How do I, how do I measure, you know, success? Because the technology has has grown so much over the years to really give marketers the ability to deliver personalized advertising, good content, right. The consumers um and be able to monitor it and control it so that it's not too too intrusive on the publisher perspective side, we see slightly different response. It's more of a yes, right. You know, we're taking back control and we're going to stop the data leakage, we're going to get the value back for our inventory. Um and that both things are a good thing, but if it's, if it's not managed, it's going to be like ships passing in the night, right? In terms of um of, you know, they're there, them coming together, right, and that's the critical pieces that they have to come together. They have to get closer, you got to cut out a lot of that loom escape in the middle so that they can talk to each other and understand what's the value exchange happening between marketers and publishers and how do we do that without cookies? >>It's a fascinating, I love love your insight there. I think it's so relevant and it's got broader implications because, you know, if you look at how data's impact, some of these big structural changes and re factoring of industries, look at cyber security, you know, no one wants to share their data, but now if they share they get more insight, more machine learning, benefit more ai benefit. So now we have the sharing notion, but that goes against counter the big guys that want to wall garden, they want to hoard all the data and and control that to provide their own personalization. So you have this confluence of, hey, I want to hoard the data and then now I want to share the data. So so christmas summer you're in the, in the wheelhouse, you got original content and there's other providers out there. So is there the sharing model coming with privacy and these kinds of services? Is the open, come back again? How do you guys see this uh confluence of open versus walled gardens, because you need the data to make machine learning good. >>So I'll start uh start off, I mean, listen, I think you have to give credit to the walled gardens have created, I think as we look as publishers, what are we offering to our clients, what are we offering to the buy side? We need to be compelling. We shouldn't just be uh yeah, actually as journalists, I think that there is a case of the importance of funding journalism. Um but ultimately we need to make sure we're meeting the KPI is and the business needs of the buy side. And I think around that it is the sort of three core pillars that its ease of access, its scope of of activation and targeting and finally measurable results. So as I think is us as an individual publishers, so we have, we have multiple publications. So we do have scale. But then in partnership with other publishers perhaps to organizations like pre bid, you know, I think we can, you know, we're trying to address that and I think we can offer something that's compelling um, and transparent in terms of what these results are. But obviously, you know, I want to make sure it's clear transparent terms of results, but obviously where there's privacy in terms of the data and I think the form, you know, I think we've all heard a lot like data clean rooms, a lot of them out there flogging those wears. I think there's something valuable but you know, I think it's the right who is sort of the right partner or partners um and ultimately who allows us to get as close as possible to the buy side. And so that we can share that data for targeting, share it for perhaps for measurement, but obviously all in a privacy compliant >>way summer, what's your take on this? Because you talk about the future of the open internet democratization, the network effect that we're seeing in Vire al Itty and across multiple on the on the channels. Is that pointed out what's happening? That's the distribution now. So um that's almost an open garden model. So it's like um yeah, >>yeah, it's it's um you know, back in the day, you know, um knight ridder who was who was the first group that I that I worked for, um you know, each of those individual properties, um we're not hugely valuable on their own from a digital perspective, but together as a unit, they became valuable, right, and got scale for advertisers. Now we're in a place where, you know, I kind of think that each of those big networks are going to have to come together and work together to compare in size to the, to the world gardens. Um, and yeah, this is something that we've talked about before and an open garden. Um, I think that's the, that's the definitely the right route to take. And I and I agree with chris it's, it's about publishers getting as close to the market. Is it possible working with the tech companies that enable them to do that and doing so in a very privacy centric >>way. So how do we bring the brands and agencies together to get ready for third party cookies? Because there is a therapist moment here of it's gonna be okay. The parachute will open. The future is not gonna be as as grim. Um, it's a real opportunity. But if managed properly, what's your take on this is just more first party data strategy and what's your assessment of this? >>So we collaborated right now with ball grants on how did this still very complex cookie list future. Um, you know what's going to happen in the future? 2, 6 steps that we can take right now and market should take. Um, The first step is to gather intel on what's working on your current campaign, analyzing the data sets across cookie free environment. So you can translate those tactics eventually when the cookies do go away. So we have to look at things like temperature or time analysis. We could look at log level data. We could look at site analytics data. We can look at brand measurement tools and how creative really impacts the campaign success. The second thing we can look at is geo targeting strategies. The geo target strategy has been uh underrated because the granularity and geo data could go down all the way to the local level, even beyond zip code. So for example the census black data and this is especially important for CPG brands. So we're working closely with the client teams to understand not only the online data but the offline data and how we can utilize that in the future. Uh We want to optimize investments around uh markets that are working so strong markets and then test and underperforming markets. The third thing we can look at is contextual. So contextual by itself is cookie free. Uh We could build on small scale usage to test and learn various keywords and content categories based sets. Working closely with partners to find ways to leverage their data to mimic audiences that you are trying to target right now with cookies. Um the 4th 1 is publisher data or publisher targeting. So working with your publishers that you have strong relationships with who can curate similar audiences using their own first party data and conducting RFs to understand the scale and reach against your audience and their future role maps. So work with your top publishers based on historical data to try to recreate your best strategies. The 15 and I think this is very important is first party data, you know, that's going to matter more than ever. In the calculus future brands will need to think about how to access and developed the first party data starting with the consumers seeing a value in exchange for the information. It's a gold mine and understanding of consumer, their intent, the journey um and you need a really great data science team to extract insights out of that data, which will be crucial. So partner with strategic onboarding vendors and vet their ability to accept first party data into a cleaner environment for targeting for modeling for insight. And lastly, the six thing that we can do is begin to inform prospect prospecting by dedicating test budget to start gaining learnings about cookie list 11 place that we can start and it is under invested right now is Safari and Firefox. They have been calculus for quite some time so you can start here and begin testing here. Uh work with your data scientist team to understand the right mix is to to target and start exploring other channels outside of um just programmatic cookies like CTV digital, out of home radio gaming and so forth. So those are the six steps that we're taking right now with our clients to uh prepare and plan for the cookie list future. >>So chris let's go back to you. What's the solution here? Is there one, is there multiple solutions? What's the future look like for a cookie was future? >>Uh I think the one certain answers, they're definitely not just one solution. Um as we all know right now there there seems to be endless solutions, a lot of ideas out there, proposals with the W three C uh work happening within other industry bodies uh you know private companies solutions being offered and you know, it's a little bit of it's enough to make everyone's head spin and to try to track it to understand and understand the impact. And as a publisher were obviously a lot of people are knocking on our door. Uh they're saying, hey our solution is one that is going to bring in lots of money, you know, the all the buy side is going to use it. This is the one like I ma call to spend um, and so expect here and so far is that none of these solutions are I think everyone is still testing and learning no one on the buy side from our, from our knowledge is really committed to one or a few. It's all about a testing stage. I think that, you know, putting aside all that noise, I think what matters the most to us as publisher is actually something summer mentioned before. It's about control. You know, if we're going to work with a again, outside of our sort of, you know, internal identifier work that we're doing is we're going to work with an outside party or outside approach doesn't give us control as a publisher to ensure that it is, we control the data from our users. There isn't that data leakage, it's probably compliant. What information gets shared out there. What is it, what's released within within the bid stream? Uh If it is something that's attached to a somewhat declared user registered user that if that then is not somehow amplified or leverage off on another site in a way that is leveraging bit stream data or fingerprinting and going against. I think that the spirit of what we're trying to do in a post third party cookie world so that those controls are critical and I think they have those controls, his publisher, we have collectively be disciplined in what solutions that we we test out and what we eventually adopt. But even when the adoption point arrives, uh definitely it will not be one. There will be multiple because it's just too many use cases to address >>great, great insight there from, from you guys, news corp summer. Let's get back to you. I want to get your thoughts. You've been in many waves of innovation ups and downs were on a new one. Now we talked about the open internet democratization. Journalism is under a lot of pressure now, but there's now a wave of quality people really leaning in towards fighting misinformation, understanding truth and community and date is at the heart of it. What do you see as the new future for journalists, reward journalism is our ways their path forward. >>So there's uh, there's what I hope is going to happen. Um, and then I'm just gonna ignore what could write. Um, you know, there's there's a trend in market right now, a number of fronts, right? So there are marketers who are leaning into wanting to spend their marketing dollars with quality journalists, focusing on bipac owned and operated, really leaning into into supporting those businesses that have been uh, those publishers that have been ignored for years. I really hope that this trend continues. Um We are leaning into into helping um, marketers curate that supply right? And really, uh, you know, speak with their dollars about the things that that they support. Um, and uh, and and value right in market. So I'm hoping that that trend continues and it's not just sort of like a marketing blip. Um, but we will do everything possible to kind of like encourage that behavior and and give people the information they need to find, you know, truly high quality journalism. >>That's awesome chris Summer. Thanks for coming on and sharing your insight on this panel on the cookie list future. Before we go, just quick summary each of you. If you don't mind just giving a quick sound bite or bumper sticker of what we can expect. If you had to throw a prediction For what's going to happen in the next 24 months Chris We'll start with you. >>Uh it's gonna be quite a ride. I think that's an understatement. Um I think that there, I wouldn't be surprised if if google delays the change to the chrome by a couple of months and and may give the industry some much needed time, but no one knows. I guess. I guess I'm not except for someone somewhere deep within chrome. So I think we all have to operate in a way that changes to happen, changes to happen quickly and it's gonna cover across all facets of the industry, all facets of from advertising, marketing. So just be >>prepared. >>Yeah, along the same lines, be prepared, nobody knows what's going to happen in the future. Uh You know, while dancing in this together. Uh I think um for us it's um planning and preparing and also building on what we've already been working on. Um So omni channel ai um creative and I think clients will uh lean more into those different channels, >>awesome. So we'll pick us home, last word. >>I think we're in the throwing spaghetti against the wall stage. Right, so this is a time of discovery of leaning in trying everything out, Learning and iterating as fast as we possibly >>can. Awesome. And I love the cat in the background over your shoulder. Can't stop staring at your wonderful cat. Thanks for coming on chris, Thanks for coming on. This awesome panel industry breakdown of the cookie conundrum. The recipe for success data ai open. Uh The future is here, it's coming, it's coming fast. I'm john fryer with the cube. Thanks for watching. Mhm. Yeah. Mhm. Mhm. Welcome back to the Quant Cast industry summit on the demise of third party cookies. The cookie conundrum, a recipe for success. We're here peter day. The cto of quad cast and crew T cop car, head of product marketing quad cast. Thanks for coming on talking about the changing advertising landscape. >>Thanks for having us. Thank you for having >>us. So we've been hearing this story out to the big players. Want to keep the data, make that centralized control, all the leverage and then you've got the other end. You got the open internet that still wants to be free and valuable for everyone. Uh what's what are you guys doing to solve this problem? Because cookies go away? What's going to happen there? How do people track things you guys are in this business first question? What is quan cast strategies to adapt to third party cookies going away? What's gonna be, what's gonna be the answer? >>Yeah. So uh very rightly said, john the mission, the Qantas mission is the champion of free and open internet. Uh And with that in mind, our approach to this world without third party cookies is really grounded in three fundamental things. Uh First as industry standards, we think it's really important to participate and to work with organizations who are defining the standards that will guide the future of advertising. So with that in mind, we've been participating >>with I. A. B. >>Tech lab, we've been part of their project Triarc. Uh same thing with pre bid, who's kind of trying to figure out the pipes of identity. Di di di di di pipes of uh of the future. Um And then also is W three C, which is the World Wide Web Consortium. Um And our engineers and our engineering team are participating in their weekly meetings trying to figure out what's happening with the browsers and keeping up with the progress they're on things such as google's block. Um The second uh sort of thing is interoperability, as you've mentioned, there are lots of different uh I. D. Solutions that are emerging. You have you I. D. Two point oh, you have live RAM, you have google's flock. Uh And there will be more, there are more and they will continue to be more. Uh We really think it is important to build a platform that can ingest all of these signals. And so that's what we've done. Uh The reason really is to meet our customers where they are at today. Our customers use multiple different data management platforms, the mps. Um and that's why we support multiple of those. Um This is not going to be much different than that. We have to meet our customers where we are, where they are at. And then finally, of course, which is at the very heart of who contrast is innovation. Uh As you can imagine being able to take all of these multiple signals in including the I. D. S. And the cohorts, but also others like contextual first party um consent is becoming more and more important. Um And then there are many other signals, like time, language geo location. So all of these signals can help us understand user behavior intent and interests um in absence of 3rd party cookies. However, uh there's there's something to note about this. They're very raw, their complex, they're messy all of these different signals. Um They are changing all the time, they're real time. Um And there's incomplete information isolation. Just one of these signals cannot help you build a true and complete picture. So what you really need is a technology like AI and machine learning to really bring all of these signals together, combine them statistically and get an understanding of user behavior intent and interests and then act on it, be it in terms of providing audience insights um or responding to bid requests and and so on and so forth. So those are sort of the three um fundamentals that our approach is grounded in which is industry standards, interoperability and and innovation. Uh and you know, you have peter here, who is who is the expert So you can dive much deeper into >>it. Is T. T. O. You've got to tell us how is this going to actually work? What are you guys doing from a technology standpoint to help with data driven advertising in a third party cookie list world? >>Well, we've been um This is not a shock, you know, I think anyone who's been close to his space has known that the 3rd Party Cookie has been um uh reducing inequality in terms of its pervasiveness and its longevity for many years now. And the kind of death knell is really google chrome making a, making the changes that they're gonna be making. So we've been investing in the space for many years. Um and we've had to make a number of hugely diverse investment. So one of them is in how as a marketer, how do I tell if my marketing still working in the world without >>computers? The >>majority of marketers completely reliant on third party cookies today to tell them if they're if they're marketing is working or not. And so we've had to invest heavily and statistical techniques which are closer to kind of economic trick models that markets are used to things like out of home advertising, It's going to establishing whether they're advertising is working or not in a digital environment actually, >>just as >>often, you know, as is often the case in these kind of times of massive disruption, there's always opportunity to make things better. And we really think that's true. And you know, digital measurement has often mistaken precision for accuracy. And there's a real opportunity to kind of see the wood for the trees if you like. And start to come with better methods of measuring the affections of advertising without third party cookies. And in fact to make countless other investments in areas like contextual modeling and and targeting that third party cookies and and uh, connecting directly to publishers rather than going through this kind of bloom escape that's gonna tied together third party cookies. So if I was to enumerate all the investments we've made, I think we'll be here till midnight but we have to make a number of vestments over a number of years and that level investments only increasing at the moment. >>Peter on that contextual. Can you just double click on that and tell us more? >>Yeah, I mean contextual is unfortunately these things, this is really poorly defined. It can mean everything from a publisher saying, hey, trust us, this dissipated about CVS to what's possible now and has only really been possible the last couple of years, which is to build >>statistical >>models of the entire internet based on the content that people are actually consumed. And this type of technology requires massive data processing capabilities. It's able to take advantage of the latest innovations in there is like natural language processing and really gives um computers are kind of much deeper and richer understanding of the internet, which ultimately makes it possible to kind of organize, organized the Internet in terms of the types of content of pages. So this type of technology has only been possible the last two years and we've been using contextual signals since our inception, it's always been massively predictive in terms of audience behaviours, in terms of where advertising is likely to work. And so we've been very fortunate to keep the investment going um and take advantage of many of these innovations that have happened in academia and in kind of uh in adjacent areas >>on the ai machine learning aspect, that seems to be a great differentiator in this day and age for getting the most out of the data. How is machine learning and ai factoring into your platform? >>I think it's, it's how we've always operated right from our interception when we started as a measurement company, the way that we were giving our customers at the time, we were just publishers, just the publisher side of our business insights into who their audience was, were, was using machine learning techniques. And that's never really changed. The foundation of our platform has always been, has always been machine learning from from before. It was cool. A lot of our kind of, a lot of our core teams have backgrounds in machine learning phds in statistics and machine learning and and that really drives our our decision making. I mean, data is only useful if you can make sense of it and if you can organize it and if you can take action on it and to do that at this kind of scout scale, it's absolutely necessary to use machine learning technology. >>So you mentioned contextual also, you know, in advertising, everyone knows in that world that you've got the contextual behavioural dynamics, the behavior that's kind of generally everyone's believing is happening. The consensus is undeniable is that people are wanting to expect an environment where there's trust, there's truth, but also they want to be locked in. They don't wanna get walled into a walled garden, nobody wants to be in the world, are they want to be free to pop around and visit sites is more horizontal scalability than ever before. Yet, the bigger players are becoming walled garden, vertical platforms. So with future of ai the experience is going to come from this data. So the behavior is out there. How do you get that contextual relevance and provide the horizontal scale that users expect? >>Yeah, I think it's I think it's a really good point and we're definitely this kind of tipping point. We think, in the broader industry, I think, you know, every published right, we're really blessed to work with the biggest publishers in the world, all the way through to my mom's vlog, right? So we get to hear the perspectives of publishers at every scale. I think they consistently tell us the same thing, which is they want to more directly connected consumers, they don't wanna be tied into these walled gardens, which dictate how they must present their content and in some cases what content they're allowed to >>present. >>Um and so our job as a company is to really provide level >>the playing field a little bit, >>provide them the same capabilities they're only used to in the walled gardens, but let's give them more choice in terms of how they structure their content, how they organize their content, how they organize their audiences, but make sure that they can fund that effectively by making their audiences in their environments discoverable by marketers measurable by marketers and connect them as directly as possible to make that kind of ad funded economic model as effective in the open Internet as it is in social. And so a lot of the investments we've made over recent years have been really to kind of realize that vision, which is, it should be as easy for a marketer to be able to understand people on the open internet as it is in social media. It should be as effective for them to reach people in the environment is really high quality content as it is on facebook. And so we invest a lot of a lot of our R and D dollars in making that true. We're now live with the Comcast platform, which does exactly that. And as third party cookies go away, it only um only kind of exaggerated or kind of further emphasizes the need for direct connections between brands and publishers. And so we just wanna build the technology that helps make that true and gives the kind of technology to these marketers and publishers to connect and to deliver great experiences without relying on these kind of walled >>gardens. Yeah, the Director Director, Consumer Director audience is a new trend. You're seeing it everywhere. How do you guys support this new kind of signaling from for for that's happening in this new world? How do you ingest the content and just this consent uh signaling? >>Uh we were really fortunate to have an amazing, amazing R and D. Team and, you know, we've had to do all sorts to make this, you need to realize our vision. This has meant things like, you know, we have crawlers which scan the entire internet at this point, extract the content of the pages and kind of make sense of it and organize it uh, and organize it for publishers so they can understand how their audiences overlap with potential competitors or collaborators. But more importantly, organize it for marketers. So you can understand what kind of high impact opportunities are there for them there. So, you know, we've had to we've had to build a lot of technology. We've had to build analytics engines, which can get answers back in seconds so that marketers and publishers can kind of interact with their own data and make sense of it and present it in a way that's compelling and help them drive their strategy as well as their execution. We've had to invest in areas like consent management because we believe that a free and open internet is absolutely reliant on trust and therefore we spend a lot of our time thinking about how do we make it easy for end users to understand who has access to their data and easy for end users to be able to opt out. And uh and as a result of that, we've now got the world's most widely adopted adopted consent management platform. So it's hard to tackle one of these problems without tackling all of them. Were fortunate enough to have had a large enough R and D budget over the last four or five years, make a number investments, everything from consent and identity through context, your signals through the measurement technologies, which really bring advertisers >>and Publishers places together great insight. Last word for you is what's the what's the customer view here as you bring these new capabilities of the platform, uh what's what are you guys seeing as the highlight uh from a platform perspective? >>So the initial response that we've seen from our customers has been very encouraging, both on the publisher side as well as the marketer side. Um I think, you know, one of the things we hear quite a lot is uh you guys are at least putting forth a solution, an actual solution for us to test Peter mentioned measurement, that really is where we started because you cannot optimize what you cannot measure. Um so that that is where his team has started and we have some measurement very, very uh initial capabilities still in alpha, but they are available in the platform for marketers to test out today. Um so the initial response has been very encouraging. People want to engage with us um of course our, you know, our fundamental value proposition, which is that the Qantas platform was never built to be reliant on on third party data. These stale segments like we operate, we've always operated on real time live data. Um The second thing is, is our premium publisher relationships. We have had the privilege of working like Peter said with some of the um biggest publishers, but we also have a very wide footprint. We have first party tags across um over 100 million plus web and mobile destinations. Um and you know, as you must have heard like that sort of first party footprint is going to come in really handy in a world without third party cookies, we are encouraging all of our customers, publishers and marketers to grow their first party data. Um and so that that's something that's a strong point that customers love about us and and lean into it quite a bit. Um So yeah, the initial response has been great. Of course it doesn't hurt that we've made all these are in the investments. We can talk about consent. Um, and you know, I often say that consent, it sounds simple, but it isn't, there's a lot of technology involved, but there's lots of uh legal work involved as it as well. We have a very strong legal team who has expertise built in. So yeah, very good response. Initially >>democratization. Everyone's a publisher. Everyone's a media company. They have to think about being a platform. You guys provide that. So I congratulate Peter. Thanks for dropping the gems there. Shruti, thanks for sharing the product highlights. Thanks for, for your time. Thank you. Okay, this is the quan cast industry summit on the demise of third party cookies. And what's next? The cookie conundrum. The recipe for success with Kwan Cast. I'm john free with the cube. Thanks for watching. Mm
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Great to chat with you today. And of course that's grown to where we are today, where five billion people around the world are able to engage in all sorts So the problem is if more of the money goes to them, less of its going to independent content creators. being talked about on the heels of the google's news around, you know, getting rid of third party cookies that it really sort of focus the minds of the industry in terms of finding alternative ways to tailor content You know, some are saying that the free open internet was pretty much killed when, you know, the big comes like facebook of the delivery of advertising and so on. is the impact of this with the modernization of the solution? So you know, you will start to see more registration wars to access content so that you have garden is not the best thing happening right now in the world, but yet is there any other other choice? So it's a huge amount of money in terms of funding the open Internet, which sounds great except for its increasingly thing to having that data closed loop, if you will for for publishers. is the way in which content is funded. long time, then you know, your connections but audience is about traffic, in the future, people around the world have access to high quality, diverse content. The reason the walled gardens capture so much money the changing landscape of advertising is here and shit Gupta, founder of you of digital So the office of the changing landscape of advertising really centers around the open to Um but the one, the bird theme proposal that they've chosen to move forward with is called I guess the question it really comes down to what alternatives are out there for cookies and So they're saying, hey, we use, you know, an open I. Because I think this is gonna, you can't ignore the big guys And I believe the reason that is, have the data you have the sharing it or using it as we're finding shit Gupta great insight dropping So chris we'll start with you at news corp obviously a major publisher deprecation of third not just kind of recreating the prior world because the prior world was flawed or I guess you could say the current world since it hasn't So how are you impacted by this new notion? You know, if if the cookie list future was a tic tac, dance will be dancing right now, You have the keys to the kingdom over there. Um and so you know, we've kind of known this, this cookie going in the wheelhouse, you got original content and there's other providers out there. perhaps to organizations like pre bid, you know, I think we can, you know, we're trying to address that and the network effect that we're seeing in Vire al Itty and across multiple on the on the channels. you know, I kind of think that each of those big networks are going to So how do we bring the brands and agencies together to get ready for third party The 15 and I think this is very important is first party data, you know, that's going to matter more than So chris let's go back to you. saying, hey our solution is one that is going to bring in lots of money, you know, the all the buy side is going to use it. What do you see as the new future and give people the information they need to find, you know, truly high quality journalism. If you had to throw a prediction For what's going to happen in the next 24 months Chris So I think we all have to operate in a way that changes Yeah, along the same lines, be prepared, nobody knows what's going to happen in the future. So we'll pick us home, last word. I think we're in the throwing spaghetti against the wall stage. Thanks for coming on talking about the changing advertising landscape. Thank you for having make that centralized control, all the leverage and then you've got the other end. the Qantas mission is the champion of free and open internet. Uh and you know, you have peter here, who is who is the expert So you can dive much doing from a technology standpoint to help with data driven advertising in a third Well, we've been um This is not a shock, you know, I think anyone who's been close to his It's going to establishing whether they're advertising is working or not in a digital environment actually, And there's a real opportunity to kind of see the wood for the trees if you Can you just double click on that and tell us more? what's possible now and has only really been possible the last couple of years, which is to build models of the entire internet based on the content that people are actually consumed. on the ai machine learning aspect, that seems to be a great differentiator in this day you can make sense of it and if you can organize it and if you can take action on it and to do that So you mentioned contextual also, you know, in advertising, everyone knows in that world that you've got the contextual behavioural in the broader industry, I think, you know, every published right, we're really blessed to work And so a lot of the investments we've made over recent years have been really to How do you ingest the content and just this consent uh signaling? So you can understand what kind of high impact opportunities view here as you bring these new capabilities of the platform, uh what's what are you guys seeing as Um and you know, as you must have heard like that sort of Thanks for dropping the gems there.
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Aaron Chaisson, Dell Technologies | Dell Technologies World 2021
>>Welcome back everyone to Dell Technologies World 2021 the virtual version. You're watching the cubes continuing coverage of the event and we're gonna talk about the Edge, the transformation of telco in the future of our expanding tech universe. With me is Aaron Jason, who's the vice president? Edge and Telkom marketing at Dell Technologies erin great to see you. I love this topic. >>Absolutely. It's it's pretty popular these days. I'm glad to be here with you. Thanks. >>It is popular, you know, cloud was kind of the shiny new toy last decade and it's still growing at double digits but it's kind of mainstream and now the Edge is all the rage. What's the best way to think about? What is the Edge? How do you define that? >>Yeah, you know, that's probably one of the most common questions I get is we start really doubling down on what we're doing it in the Edge world today. Um you know, I tried to basically not overcomplicated too much, you know, last year we really tried to to talk about it as being where you're the physical world, in the virtual world, connect. Um but you know, really it's more about what customers are looking to do with that technology. And so what we're really thinking about it today is the edges really where customers data is being used near point of generation to really define and build the essential value for that customer and that essential value is gonna be different in each vertical in each industry. Right? So in manufacturing, that essential value is created in the factory and retail, it's going to be, you know, at point of sale, whether that's in a store or on your device, in a virtual interaction, um in health care, it's going to be the point of care, Right? So it's gonna be the ambulance or the emergency room or the radiology lab. and of course in farming that essential values created in the field itself. So um, you know, for for many customers, it's really trying to figure out, you know, how do they take technology closer to the point of that value creation to be able to drive new new capabilities for the business, whether it's for what they're trying to accomplish or what they're trying to do in helping their customers. So really that's how we're thinking about the edge today. It's where that value generation occurs for a company. And how do we take technology to that point of generation to deliver value for them? >>Yeah, I like that. I mean to me the edge, I know what it's not, I know the edges, not a mega data center, but but everything else could be the edge. I mean, it's it's to me it's the place that's the most logical, the most logical place to process the data. So as you say, it could be a factory, it could be a hospital, it could be a retail store, it could be, could be a race track, it could be a farm, I mean virtually anything. So the edges, it's always been here, but it's changing. I mean most of the edge data has historically been analog. Everything now is getting instrumented. What are the factors that you think will make this, this industry's vision of the edge real in your opinion? >>Yeah. You know, it's it's really bringing together a handful of technologies that have really started to mature after over the last decade or so. Um the ones that have been around for a little bit, things like IOT have been emerging in the last several years. Um even Ai and machine learning many of those algorithms have been around for decades, but we've only recently been able to bring the compute power required to do that in edge environments in the last decade or so. Um it's so really the two key sort of killer technologies that have matured in the last couple of years is really the mic realization of computing. So being able to put compute almost anywhere on the planet and then the emergence of five G networking, giving us the ability to provide very high performance, low latency and high bandwidth environments to connect all those things together and get the data to those analytics environments. From that computer perspective. I mean, I still like to talk about moore's law as an example of that that ever marched that's been going on for, you know, half a century or more now is continuing to push forward um at a rate that is that that that that just really hasn't slowed down for the most part, you know, the example that I use with people, as, you know, you know, I still remember when I got my first calculator watch as a kid, you know, that Casio calculator watch that so many of us had, And my dad told me the story when he gave it to me, he's like, Hey, look, this has the same amount of compute power as the landing module on the moon, and I didn't know it at the time, but that was my first sort of entry and education around what Moore's law provided. And it's not so much speed. I mean, people think about that as it doubles in speed every 18 months, but it's really more about the density of compute that happens that moore's law drought, pushes along, so I can now squish more and more compute power into a smudge smaller location and I can now take that performance out to the edge in a way that I haven't been able to do before. I mean I think about my history, I joined E M C, that was acquired by Dell Technologies a couple years back. I joined that back in the late nineties when the biggest baddest storage array on the planet was one whole terabyte in size. And now I can fit that in the palm of my hand. In fact, when I walk around, you know, when I used to walk around with my, with my back, my laptop and go into offices, um you know, if I had my laptop and my tablet and my my my smartwatch, I had 12 to 16 cores on me and a couple of terabytes of capacity all connected with the equivalent of tens of T ones. Right? So what was once a small or or a mid sized data center just in the last decade or so? We now all walk around a small data centers and the power that that compute now brings to the edge allows us to take analytics that was really once done in data centers. I may have captured it at the edge, but I had to move it into a data lake. I had to stage it and analyze it. It was more of a historical way of looking at data. Now I can put compute right next to the point of data generation and give insight instantaneously as data is being generated. And that's opening up whole new ways that industries can drive new value for them and for their customers. And that's really what's exciting about it is this combination of these technologies that are all sort of maturing and coming together at the same time. Um, and there's just so much doing, it happened that space and devils really, really excited to be part of bringing that into these environments for our customers. >>I'm gonna give you a stat that a lot of people, I don't, I don't think realize, uh, you talked about moore's law and you're absolutely right. It's really, you know, technically moore's law is about the density, right? But the outcome of being able to do that is performance. And if you do the math, you know, moore's law doubling performance every two years, roughly, The math on that is that means 44 improvement per year in performance. Everybody talks about how moore's laws is dead. It's not, it's just changing. Here's the, here's the stat. If you take a system on a chip, take like for instance apples a 14 and go back five years from 2015 to 2021. If you add up the performance of the CPU the combinatorial factors of the CPU gpu and in the N. P. U. The neural processing unit, just those three, The growth rate has been 118 a year vs 44%. So it's actually accelerating and that doesn't include the accelerators and the DSPS and all the other alternative processors. So, and to your point and by the way that a 14 shipping cost Apple 50 bucks. So and and that fits in the palm of your hand to the point that you were just making So imagine that processing power at the edge most of of of of of ai today is modeling, let's say in the cloud, the vast majority is going to be a i influencing at the edge. So you are right on on that point. >>Yeah, there's no question about it. So, to your point, I mean, moore's law is just of course CPU itself. All right. And it comes out to roughly, on average, it's about 10 x every five years. 100 X every 10 years, 1000 X every 15 years. I mean, it's incredible how much power you can put in a small footprint today. And then if you factor in the accelerators and everything else um, it's actually if anything that innovation is going faster and faster and to your point, um you know, the while the modeling is still going to typically happen in data centers as you pull together lots of different data sets to be able to analyze and create new models. But those models are getting pushed right out to the edge on these compute devices literally feet away at times from the point of data generation to be able to give us really real time analytics and influencing. The other cool thing about this too is you know we're going from sort of more looking backwards and making business analytics based on what has already happened in the past to being able to do that in the very near past. And of course now with modern analytics and models that are being created for ai we're able to do more predictive analytics so we can actually identify errors, identify challenges before they even occur based on pattern matching that they're saying. Um So it's really opening up new doors and new areas that we've never been able to see before that's really all powered by by these capabilities. >>It's insane the amount of data that is coming. We think data is overwhelming today. You ain't seen nothing yet. Um Now erin you cover the edge and the telecom business up. I was beside it when I when I when I found that out because the telecom businesses is ripe for transformation. Um So what do you how is Dell thinking about that? Why are you sort of putting those together? What are the synergies that you see in in the commonalities in those 22 sectors? >>Yeah. I mean at the end of the day it's really all about serving the enterprise customers in the in the organizations of all kinds um that the industry is trying to bring these edge technologies too and that's no different with the telecommunications industry. Right? So you know when when the when the four G world changed about 10 years ago um you know the telecom industry was able to bring the plumbing the network piping out to all the endpoints but they really didn't capture the over the top revenue opportunities that Four G technologies opened up right. That really went to the hyper scholars. It went to you know, a lot of the companies that we all know and love like uh you know, Uber and Airbnb and netflix and others um and that really when the four Gr that was really more about opening up consumer opportunities as we move to five G. And as we move these ultra low latency and high bandwidth capabilities out to the enterprise edge, it's really the B two B opportunities that are opening up and so on the telecom side we're partnering with the telecommunication companies to modernize their network, enroll five G. L. Quickly. But one of the more important things is that we're partnering with them to be able to build services over the top of that that they can then sell into their customer base and their business customer base. So whether that's mech, whether that's private mobility, um delivering data services over the top of those networks, there's a tremendous opportunity for the telecoms to be able to go and capture um Ed revenue opportunities and we're here to help them to partner with them to be able to do that. Now if you put yourself in the shoes of the customer, the enterprise business, a manufacturer or retail, who's looking to be able to leverage these technologies, there's a variety of ways in which they're going to be able to to to consume these technologies. In some cases they'll be getting it direct from vendors direct from Dell Technologies and others. They might be using solutions integrators to be able to combine these technologies together for a particular solution. They may get some of those technologies from their telecom provider and even others, they might get it from the cloud provider. So um Dell wants to make sure that we're being able to help our customers across a variety of ways in which they want to consume those technologies and we have to businesses focused on that. We've got one business focused on edge solutions where we partner with oT vendors closely as well as cloud providers to be able to provide a technology and infrastructure based on which we can consolidate edge workloads To be able to allow customers that want to be able to run those um those services on prem and by those from a direct vendor. Um there's other customers that want to get those through the telecoms. And so we work closely with the telecommunication providers to provide them that modern cloud native disaggregated network that they're looking to build to support 5G. And then help them build those services on the top that they can sell either way whether the customer wants to get that from a vendor like Dell or from a service provider like like uh like an A T and T and Verizon or others. Um Dell looks to partner with them and be a way to provide that underlying infrastructure that connects all of that together for them. >>Well, I mean the beauty of the telco networks is their hardened. But the problem for the telco networks is they're they're hardened and so you've got the over over the top vendors bow guarding their network. The cost per bit is coming down, data is going through the roof and the telcos can't, they can't participate in that over the top and get to those subscribers. But with Five G. And the technologies that you're talking about bringing to the telecoms world, they're they're gonna transform and many are going to start competing directly and this is just a whole new world out there. I wonder Aaron if you could talk about um what you're specifically talking about at Del Tech World this year as it relates to Edge. >>Sure. So the both of the businesses hedge in telecom have a couple announcements this year. This this year, Deltek World, um starting with Edge um as you may recall back in uh in in the fall of last year when we had our last technologies world, we announced our intent to launch an edge business. Um so that that was formulated and stood up over the last couple of months and and we're really focusing on a couple of different areas. How do we look at our overall Dell technologies portfolio and be able to bring particular products and solutions that exist already and be able to apply those uh to edge use cases. We're looking at building a platform which would allow us to be able to consolidate a variety of workloads. And of course we're working on partnerships specifically in the ot space to be able to vertical eyes these offers to help particular uh particular industries. Right now we're focusing on manufacturing and retail but we'll expand that over time. So at Del Tech World this year we're launching our first set of of solutions family which is going to be the Dell Technologies manufacturing edge solutions, the first one that's gonna be launching as a reference architecture with PTC um thing works on top of what we're also proud to be announcing this week, which is our apex private cloud offering. So this is the first example of of of a partnership with an O. T. Provider on top of apex private cloud so that we can bring in as a service platform offering to the Enterprise edge uh for manufacturers. And combined with one of the industry's leading oT software vendors of thing works. So that's one of the solutions were doing um we're also looking to launch a product which is we're taking our existing um streaming data platform from our unified storage team and taking that, which was once running in the data center out to edge these cases as well. And that allows us to be able to capture click stream data in manufacturing and other environments, buffer and cash that in a in an appliance and then be able to move that off to a data like for longer term analytics. While it's in that buffered state though we open provide a P. I. S. So that you can actually do real time influencing against those click stream data as it's flowing through the appliance on its way to the data lake for longer term analytics. So those are two key areas that we're gonna be focusing on from an edge perspective on the telecom side. Um we're really this is going to be a big year from us as we move towards creating a common end end five G platform from quarter Iran and then also start focusing on partnerships and ecosystems on top of that platform. Uh last week at Red hat summit we actually announced a reference architecture for red hat. Open shift on top of Dell technologies infrastructure servers and networking. And here at Dell technologies world. This week we're announcing a reference architecture with VM ware. So running VM ware telecom cloud platform. Also on top of Dell technologies. Power edge servers and power such as um so this allows us to create that foundation that open cloud native. These are container and virtual layers on top of our hard work to give that that cloud native disaggregated uh, network claim to be able to now run and build core edge and ran solutions on top of and you'll be hearing more about what we're doing in this space in the coming months. >>Nice. That's great. The open ran stuff is really exciting now, last question. So mobile world Congress, the biggest telco show is coming up in late june Yeah, still on. According to the G S M, a lot of people have tapped out um, and but the cube is planning to be there with a hybrid presence, both virtual and physical. We'll see um I wonder if there's anything you want to talk about just in terms of what's happening in telco telco transformation, you guys got any get any events coming up, what can you tell us? >>Yeah, so we took a close look at mobile world congress and and uh this has been a challenging year for everybody. Um you know, Dell as well as many other vendors made the decision this year that we would actually not participate, but we look forward to participating uh with full gusto next year when it's back in a physical environment. Um So what we've decided to do is we are going to be having our own virtual launch event on june 9th. Um And in that event, the theme of that is going to be the modern ecosystem in the neighboring leveraging the power of open. Um So we'll be talking a little bit more about what we're doing from that open cloud, native network infrastructure and then also talk a little bit more about what Dell technologies looking to do to bring a broad ecosystem of technology vendors together and deliver that ecosystem platform for the telecom industry. So registration actually opens this week at Dell Technologies World. So if you go to Dell technologies dot com can register for the event. Um we're really excited to be talking to the telecom providers and also other hardware and software vendors that are in that space to see how we can work together to really drive this next generation of five G. >>That's awesome. I'll be looking for that and and look forward to collaborating with you on that, bringing your thought leadership and the cube community we would really love to to partner on that. Aaron, thanks so much for coming to the cube. Really exciting area and best of luck to you. >>Right. Thank you. I appreciate the time. >>All right. And thank you for watching everybody says Dave Volonte for the Cubes, continuous coverage of Del Tech World 2021. The virtual version will be right back right after this short break.
SUMMARY :
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Matt Hicks, Red Hat | Red Hat Summit 2021 Virtual Experience
>>mhm Yes. Hello and welcome back to the cubes coverage of red hat summit 2021 virtual. I'm john for your host of the cube and cube coverage here with matt Hicks. Executive vice president of products and technologies at red hat cuba lum I've been on many times, knows the engineering side now running all the process of technologies matt. Great to see you. Thanks for coming on remote. I wish we were in real real life in person. I RL but doing it remote again. Thanks for coming on. >>Hey, thanks thanks for having me today. >>Hey, so what a year you know, um, I was just talking to a friend and another interview with the red hat colleagues. Chef on your team in 2019 I interviewed Arvin at IBM right before he bought red hat and you smile on his face and he wasn't even ceo then um, he is such a big fan of cloud native and you guys have been the engine underneath the hood if you will of IBM this transformation huge push now and with Covid and now with the visibility of the post Covid, you're seeing cloud Native at scale with modern applications just highly accelerated across the board In almost every industry, every vertical. This is a very key trend. You guys at the, at the center of it always have been, we've been covering you for many years, interesting time and so now you guys are really got the, got the formula at red hat, take us through the key transit you see on this wave for enterprises and how is red hat taking that, taking that through? >>Yeah, no, absolutely. It has been, it's been a great ride actually. I remember a couple years ago standing on stage with Arvin prior to the acquisition. So it's been uh, it's been a world one but I think if we look at Really would emerge in 2020, we've seen three trends that we hope we're gonna carry through in 2021 just in a better and better year for that. That the first is open hybrid cloud is really how customers are looking to adapt to change. They have to use what they have um assets they have today. On premise, we're seeing a lot of public cloud adoption that blend of being hybrid is just, it is a reality for how customers are having to deliver a edge computing I think is another area I would say uh the trend is really not going to be a fad or a new, you know, great texture. Um the capabilities of computing at the edge, whether that is automotive vehicles, radio access network capabilities to five G. It's pretty astounding at this point. So I think we're gonna see a lot of pushing edge computing for computing, getting closer to users. Uh but then also the choice aspect we're seeing with Ceos, we often talk about technology is choice, but I think the model of how they want to consume technology has been another really strong trend in 2020. Uh We look at this really is being able to deliver a cloud managed services in addition to technology that ceos around themselves. But those, those will probably be the three that stand out to me at least in 2020 we've seen, >>so matt take us through in your minds and red hats, perspective the workloads that are going to be highlighted in this cloud native surge that's happening. We're seeing it everywhere. You mentioned edge industrial edge to consumer Edge to lightweight, edge, massive new workloads. So take us through how you see kind of the existing workloads evolving and potentially new workloads that emerging. >>Yeah. So I think um you know first when you talk about edge workloads a big umbrella but if you look at data driven workloads, especially in the machine learning artificial intelligence spectrum of that, that's really critical. And a reason that those workloads are important is five G. Aside for now when you're running something at the edge you have to also be able to make decisions pretty well at the edge. And that that is that's where your data is being generated and the ability to act on that closely. Whether that's executing machine learning models or being able to do more than that with A I. That's going to be a really really critical workload. Uh huh. Coupled to that, we will see I think five G. Change that because you're going to see more blending in terms of what can you draw back to uh closer to your data center to augment that. So five G will shift how that's built but data driven workloads are going to be huge then I think another area will see is how you propagate that data through environment. Some Kafka has been a really popular technology will actually be launching a service in relation to that. But being able to get that data at the edge and bring it back to locations where you might do more traditional processing, that's going to be another really key space. Um and then we'll still have to be honest, there is still a tremendous amount of work loads out there that just aren't going to get rebuilt. And So being able to figure out how can you make them a little more cloud native? You know, the things your companies have run on for the last 20 years, being able to step them closer to cloud native, I think it's going to be another critical focus because he can't just rewrite them all in one phase and you can't leave them there as well. So being able to bridge shadow B T to >>what's interesting if folks following red hat, No, no, you guys certainly at the tech chops you guys have great product engineering staff been doing this for a long time. I mean the common Lennox platform that even the new generation probably have to leave it load limits on the server anymore. You guys have been doing this hybrid environment in I T for I T Sloan for decades. Okay. In the open, so, you know, it's servers, virtualization, you know, private, public cloud infrastructures and it's been around, we've been covering it in depth as you know, but that's been, that's a history. But as you go from a common Lennox platform into things with kubernetes as new technologies and this new abstraction layers, new control plane concept comes to the table. This need for a fully open platform seems to be a hot trend this year. >>How do you >>describe that? Can you take a minute to explain what this is, this is all about this new abstraction, this new control plane or this open hybrid cloud as you're calling? What is this about? What does it mean? >>Yeah, no, I'll do a little journey that she talked about. Yeah. This has been our approach for almost a decade at this point. And it started, if you look at our approach with Lennox and this was before public clouds use migrants existed. We still with Lennox tried to span bare metal and virtualized environments and then eventually private and public cloud infrastructure as well. And our goal there was you want to be able to invest in something, um, and in our world that's something that's also open as in Lennox but be able to run it anywhere. That's expanded quite a bit. That was good for a class of applications that really got it started. That's expanded now to kubernetes, for example, kubernetes is taking that from single machines to cluster wide deployments and it's really giving you that secure, flexible, fast innovation backbone for cloud native computing. And the balance there is just not for cloud native, we've got to be able to run traditional emerging workloads and our goal is let those things run wherever rail can. So you're really, you're based on open technologies, you can run them wherever you have resources to run. And then I think the third part of this for us is uh, having that choice and ability to run anywhere but not being able to manage. It can lead to chaos or sprawl and so our investments in our management portfolio and this is from insights the redhead advanced cluster management to our cluster security capabilities or answerable. Our focus has been securing, managing and monitoring those environments so you can have a lot of them, you can run where you want, but she just sort of treat it as one thing. So you are our vision, how we've executed up to this point has really been centered around that. I think going forward where you'll see us um really try to focus is, you know, first you heard paul announced earlier that we're donating more than half a billion dollars to open. I would cloud research and part of this reason is uh running services. Cloud native services is changing. And that research element of open source is incredibly powerful. We want to make sure that's continuing but we're also going to evolve our portfolio to support this same drive a couple areas. I would call out, we're launching redhead open shift platform plus and I talked about that combination from rail to open shift to being able to manage it. We're really putting that in one package. So you have the advanced management. So if you have a huge suites of cloud native real estate there, you can manage that. And it also pushes security earlier into the application, build workflows. This is tied to some of our technology is bolstered by the stack rocks acquisition that we did. Being able to bring that in one product offering I think is really key to address security and management side. Uh we've also expanded Redhead insights beyond Rehl to include open shift and answerable and this is really targeted it. How do we make this easier? How do we let customers lean on our expertise? Not just for Lennox as a service, but expand that to all of the things you'll use in a hybrid cloud. And then of course we're going to keep pushing Lennox innovation, you'll see this with the latest version of red hat enterprise, like so we're gonna push barriers, lower barriers to entry. Uh But we're also going to be the innovation catalyst for new directions include things like edge computing. So hopefully that sort of helps in terms of where, where we started when it was just Lennox and then all the other pieces were bringing to the table and why and some new areas. Uh We're launching our investment going forward. >>Yeah, great, that's great overview. Thanks for taking the time to do that. I think one of the areas I that's jumping out at me is the uh, advanced cluster management work you guys are doing saw that with the security peace and also red hat insights I think is is another key one and you get to read that edge. But on the inside you mentioned at the top of this interview, data workloads pretty much being, I mean that pretty much everything, much more of an emphasis on data. Um, data in general but also, you know, serve abilities a hot area. You know, you guys run operating system so you know, in operating systems you need to have the data, understand what's being instrumented. You gotta know that you've got to have things instrument and now more than ever having the data is critical. So take us through your vision of insights and how that translates. Because he said mentions in answerable you're seeing a lot more innovations because Okay I got provisions everything that's great. Cloud and hybrid clouds. Good. Okay thumbs up everyone check the box and then all of a sudden day too As they call day two operations stuff starts to, you know, Get getting hairy, they start to break. Maybe some things are happening. So day two is essentially the ongoing operational stability of cloud native. You need insights, you need the data. If you don't have the data, you don't even know what's going on. You can't apply machine learning. It's kind of you if you don't get that flywheel going, you could be in trouble. Take me through your vision of data driven insights. >>Yeah. So I think it's it's two aspects. If you go to these traditional traditional sport models, we don't have a lot of insight until there's an issue and I'm always amazed by what our teams can understand fix, get customers through those and I think that's a lot of the success red hats had at the same note, we want to make that better where if you look at real as an example, if we fixed an issue for any customer on the planet of which we fix a lot in the support area, we can know whether you're going to hit that same issue or not in a lot of cases and so that linkage to be able to understand environments better. We can be very proactive of not just hey apply all the updates but without this one update, you risk a kernel panic, we know your environment, we see it, this is going to keep you out of that area. The second challenge with this is when things go do break or um are failing the ability to get that data. We want that to be the cleanest handshake possible. We don't want to. Those are always stressful times anyway for customers being able to get logs, get access so that our engineering knowledge, we can fix it. That's another key part. Uh when you extend this to environments like open shift things are changing faster than humans can respond in it. And so those traditional flows can really start to get strained or broken broken down with it. So when we have connected open shift clusters, our engineering teams can not only proactively monitor those because we know cooper net is really well. We understand operators really well. Uh we can get ahead of those issues and then use our support teams and capabilities to keep things from breaking. That's really our goals. Finding that balance where uh we're using our expertise in building the software to help customers stay stable instead of just being in a response mode when things break >>awesome. I think it's totally right on the money and data is critical in all this. I think the trust of having that partnership to know that this pattern recognition is gonna be applied from the environment and that's been hurting the cybersecurity market people. That's the biggest discussion I had with my friends and cyber is they don't share the data when they do, things are pretty obvious. Um, so that's good stuff there and then obviously notifications proactive before there's a cause or failure. Uh great stuff. This brings up a point that paul come here, said earlier, I want to get your reaction to this. He said every C. I. O. Is now a cloud operator. >>That's a pretty bold >>statement. I mean, that's simply means that it's all cloud all the time. You know? Again, we've been saying this on the queue for many years, cloud first, whatever people want to call it, >>what does that actually >>mean? Cloud operator, does that just mean everything's hybrid? Everything's multiple. Cloud. Take me through an unpacked what that actually means? >>Yeah. So I think for the C I O for a lot of times it was largely a technology choice. So that was sort of a choice available to them. And especially if you look at what public clouds have introduced, it's not just technology choice. You're not just picking Kafka anymore. For example, you really get to make the choice of do I want to differentiate my business by running it myself or is this just technology I want to consume and I'm going to consume a cloud, native service and other challenges come with that. It's an infrastructure, not in your control, but when you think about a ceo of the the axes they're making decisions on, there are more capabilities now and I think this is really crucial to let the C i O hone in on where they want to specialist, what do they want to consume, what do they really want to understand, differentiate and Ron? Um and to support this actually, so we're in this vein, we're going to be launching three new managed cloud services and our our focus is always going to be hybrid in these uh but we understand the importance of having managed cloud services that red hat is running not the customers in this case. So one of those will be red hat open shift streams for Patrick Kafka. We've talked about that, that data connectivity and the importance of it and really being able to connect apps across clouds across data centers using Kafka without having to push developers to really specialize in running. It is critical because that is your hybrid data, it's going to be generated on prim, it's going to be generated the edge, you need to be able to get access to it. The next challenge for us is once you have that data, what do you do with it? And we're launching a red hat open shift data science cloud service and this is going to be optimized for understanding the data that's brought in by streams. This doesn't matter whether it's an Ai service or business intelligence process and in this case you're going to see us leverage our ecosystem quite a bit because that last mile of AI workloads or models will often be completed with partners. But this is a really foundational service for us to get data in and then bring that into a workflow where you can understand it and then the last one for us is that red hat open shift api management and you can think of this is really the overseer of how apps are going to talk to services and these environments are complex, their dynamic and being able to provide that oversight up. How should my apps be consuming all these a. P. S, how should they be talking? How do I want to control? Um and understand that is really critical. So we're launching these, these three and it fits in that cloud operator use, we want to give three options where you might want to use Kafka and three Scale technologies and open data hub, which was the basis of open shift data sides, but you might not want to specialize in running them so we can run those for you and give you as a C. I. O. That choice of where you want to invest in running versus just using it. >>All right, we're here with matt Hicks whose executive vice president prospect technology at red hat, matt, your leader at red hat now part of IBM and continues to operate um in the red hat spirit, uh innovating out in the open, people are wearing their red hat uh hoodies, which has been great to see. Um I ask every executive this question because I really want to get the industry perspective on this. Um you know, necessity is the mother of invention as the saying goes and, you know, this pandemic was a challenge for many In 2020. And then as we're in 2021, some say that even in the fall we're gonna start to see a light at the end of the tunnel and then maybe back to real life in 2022. This has opened up huge visibility for CSOS and leaders and business in the enterprise to say, Hey, what's working, what do we need? We didn't prepare for everyone to be working at home. These were great challenges in 2020. Um, and and these will fuel the next innovations and achievements going forward. Um again necessity is the mother of all invention. Some projects are gonna be renewed and double down on some probably won't be as hybrid clouds and as open source continues to power through this, there's lessons to be learned, share your view on what um leaders in in business can do coming out of the pandemic to have a growth strategy and what can we learn from this pandemic from innovation and and how open source can power through this adversity. >>Yeah. You know, I think For as many challenging events we had in 2020, I think for myself at least, it it also made me realize what companies including ourselves can accomplish if we're really focused on that if we don't constrain our thinking too much, we saw projects that were supposed to take customers 18 months that they were finishing in weeks on it because that was what was required to survive. So I think part of it is um, 2020 broke a lot of complacency for us. We have to innovate to be able to put ourselves in a growth position. I hope that carries into 2021 that drives that urgency. When we look at open source technologies. I think the flexibility that it provides has been something that a lot of companies have needed in this. And that's whether it could be they're having to contract or expand and really having that moment of did the architectural choices, technology choices, will they let me respond in the way I need? Uh, I'm biased. But first I think open models, open source development Is the best basis to build. That gives you that flexibility. Um, and honestly, I am an optimist, but I look at 2021, I'm like, I'm excited to see what customers build on sort of the next wave of open innovation. I think his life sort of gets back to normal and we keep that driving innovation and people are able to collaborate more. I hope we'll see a explosion of innovation that comes out and I hope customers see the benefit of doing that on a open hybrid cloud model. >>No better time now than before. All the things are really kind of teed up and lined up to provide that innovation. Uh, great to have you on the cube. Take a quick second to explain to the folks watching in the community What is red hat 2021 about this year? And red hat someone, I'll see. We're virtual and we're gonna be back in a real life soon for the next event. What's the big takeaway this year for the red hat community and the community at large for red hat in context of the market? >>You know, I think redhead, you'll keep seeing us push open source based innovation. There's some really exciting spaces, whether that is getting closer and closer towards edge, which opens up incredible opportunities or providing that choice, even down to consumption model like cloud managed services. And it's in that drive to let customers have the tools to build the next incredible innovations for him. So, And that's what summit 2021 is going to be about for us, >>awesome And congratulations to, to the entire team for the donation to the academic community, Open cloud initiative. And these things are doing to promote this next generation of SRS and large cloud scale operators and developers. So congratulations on that props. >>Thanks john. >>Okay. Matt Hicks, executive vice president of products and technology. That red hat here on the Cube Cube coverage of red hat 2021 virtual. I'm John Ferrier. Thanks for watching. Yeah.
SUMMARY :
Great to see you. at the center of it always have been, we've been covering you for many years, interesting time and so now is really not going to be a fad or a new, you know, So take us through how you see kind at the edge and bring it back to locations where you might do more traditional processing, Lennox platform that even the new generation probably have to leave it load limits on the server anymore. Not just for Lennox as a service, but expand that to all of the things you'll use in a Thanks for taking the time to do that. this is going to keep you out of that area. having that partnership to know that this pattern recognition is gonna be applied from the environment I mean, that's simply means that it's all cloud all the time. Cloud operator, does that just mean everything's hybrid? it's going to be generated on prim, it's going to be generated the edge, you need to be able to get access the saying goes and, you know, this pandemic was a challenge for many In 2020. I think his life sort of gets back to normal and we keep that driving innovation and great to have you on the cube. And it's in that drive to let And these things are doing to promote this next generation of That red hat here on the Cube
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Darrell Jordan Smith, Red Hat | Red Hat Summit 2021 Virtual Experience DONOTPUBLISH
>>mhm >>Yes, >>everyone welcome back to the cubes coverage of Red Hat summit 2021. I'm john for your host of the cube, we've got a great segment here on how Red Hat is working with telcos and the disruption in the telco cloud. We've got a great guest cube alumni Darrell Jordan smith, senior vice president of industries and global accounts at Red Hat, uh Darryl, great to see you. Thanks for coming back on the cube. >>It's great to be here and I'm really excited about having the opportunity to talk to you >>today. Yeah, we're not in person in real life is coming back soon, although I hear mobile world congress might be in person this year looking like it's good a lot of people gonna be virtual activating. I know a lot to talk about this is probably one of the most important topics in the industry because when you talk about telco industry, you're really talking about um the edge, talking about five G talking about industrial benefits for business because it's not just Edge for connectivity access. We're talking about internet of things from self driving cars to business benefits. It's not just consumer, it's really bringing that together, you guys are really leading with the cloud native platform from rail, open shift men and services. Everything about the cloud native underpinnings you guys have been successful as a company but now in your area, telco is being disrupted. Absolutely. Give us your take on this is super exciting. >>Well, it's actually one of the most exciting times I've been in the industry for 30 years are probably aging myself now. But in the telecommunications industry, this, for me is the most exciting. It's where technology is actually going to visibly change the way that everyone interacts with the network and with the applications that are being developed out there on our platform and as you mentioned IOT and a number of the other ai and Ml innovations that are occurring in the market place. We're going to see a new wave of applications and innovation. >>What's the key delivery workloads you're seeing with Five G environment? Um, obviously it's not just, you know, five G in the sense of thinking about mobile phones or mobile computers as they are now. Um, it's not just that consumer, hey, surf the web and check your email and get an app and download and communicate. It's bigger than that. Now, can you tell us Where you see the workloads coming in on the 5G environment? >>You hit the nail on the head, The the the, the killer application isn't the user or the consumer and the way that we traditionally have known it, because you might be able to download a video in that take 20 seconds less, but you're not going to pay an awful lot more money for that. The real opportunity around five years, the industrial applications, things that I connected car, automotive, driving, um factory floor automation, how you actually interface digitally with your bank, how we're doing all sorts of things more intelligently at the edge of the network using artificial intelligence and machine learning. So all of those things are going to deliver a new experience for everyone that interacts with the network and the telcos are at the heart of it. >>You know, I want to get into the real kind of underpinnings of what's going on with the innovations happening. You just kind of laid out kind of the implications of the use cases and the target application workloads. But there's kind of two big things going on with the edge in five G one is under the hood, networking, you know, what's going on with the moving the packets around the workload, throughput, bandwidth etcetera, and all that goes on under the hood. And then there's the domain expertise in the data where AI and machine learning have to kind of weaving. So let's take the first part first. Um open shift is out there. Red hat's got a lot of products, but you have to nail the networking requirements and cloud Native with container ization because at large scales, not just packaged, it's all kinds of things going on security, managing a compute at the edge. There's a lot of things under the hood, if you will from a networking perspective, could you share what red hats doing in that area? >>So when we last spoke with the cube, we talked a lot about GMOs and actually people living Darryl, >>can I Cause you really quickly? I'm really sorry. Keep your answer in mind. We're gonna >>go right from that question. >>We're just kidding. Um, are you, is anything that you're >>using or touching running into the desk? We're just getting >>a little bit of shakiness on your camera >>and I don't want to. >>So anyway, >>that is my, my elbows. No worries. So no >>worries. Okay, so take your answer. I'll give you like a little >>321 from behind the scenes >>and and we'll go right as if >>john just ask >>the questions, we're gonna stay running. >>So I think, uh, >>can you ask the question just to get out of my mind? Perfect. Well let's, let's do >>from that. So we'll stay on your shot. So you'll hear john, but it'll be as if >>he just asked the question. So jOHn >>team up. Here we go. I'm just gonna just jimmy and just keep my other question on the okay, here we go. So Darryl, open shift is optimized for networking requirements for cloud native. It's complex into the hood. What is red hat doing under the hood to help in the edge in large complex networks for large scale. >>Yeah. So, so that's a very good question in that we've been building on our experience with open stack and the last time I was on the cube, I talked about, you know, people virtualizing network applications and network services. We're taking a lot of that knowledge that we've learned from open stack and we're bringing that into the container based world. So we're looking at how we accelerate packets. We're looking at how we build cloud native applications on bare metal in order to drive that level of performance. We're looking at actually how we do the certification around these applications and services because they may be sitting in different app lets across the cloud, but in some instances running on multiple clouds at the same time. So we're building on our experience from open stack, we're bringing all of that into open shipping, container based environment with all of the tallinn necessary to make that effective. >>It's interesting with all the automation going on. Certainly with the edge developing nicely the way you're describing it, certainly disrupting the Telco cloud, you have an operator mindset of cloud Native operator thinking, kind of, it's distributed computing, we know that, but it's hybrid. So it's essentially cloud operations. So there's an operator mindset here that's just different. Could you just share quickly before we move on to the next segment? What's different about this operating model for the, these new kinds of operators? As you guys been saying, the C I O is the new cloud operator, That's the skill set they have to be thinking and certainly to anyone else provisioning and managing infrastructure has to think like an operator, what's your >>view? They certainly do need anything like an operator. They need to look at how they automate a lot of these functions because they're actually deployed in many different places will at the same time they have to live independently of each other. That's what cloud native actually really is. So the whole, the whole notion of five nines and vertically orientated stacks of five nines availability that's kind of going out the window. We're looking at application availability across a hybrid cloud environment and making sure the application can live and sustain itself. So operators as part of open shift is one element of that operations in terms of management and orchestration and all the tooling that we actually also providers red hat but also in conjunction with a big partner ecosystem, such as companies like net cracker, for example, or IBM as another example or Erickson bringing their automation tool sets and their orchestration tool sets of that whole equation to address exactly that problem >>you bring up the ecosystem. And this is really an interesting point. I want to just hit on that real quick because reminds me of the days when we had this massive innovation wave in the nineties during that era. The client server movement really was about multi vendor, right. And that you're starting to see that now and where this ties into here I think is when we get your reaction to this is that, you know, moving to the cloud was all about 2 2015. Move to the cloud moved to the cloud cloud native. Now it's all about not only being agile and better performance, but you're gonna have smaller footprints with more security requires more enterprise requirements. This is now it's more complicated. So you have to kind of make the complications go away and now you have more people in the ecosystem filling in these white spaces. So you have to be performance and purpose built if you will. I hate to use that word, but or or at least performing an agile, smaller footprint grade security enabling other people to participate. That's a requirement. Can you share your reaction to that? >>Well, that's the core of what we do. A red hat. I mean we take open source community software into a hardened distribution fit for the telecommunications marketplace. So we're very adapt to working with communities and third parties. That ecosystem is really important to us. We're investing hundreds of engineers, literally hundreds of engineers working with our ecosystem partners to make sure that their applications services certified, running on our platform, but but also importantly is certified to be running in conjunction with other cloud native applications that sit over the same cloud. So that that is not trivial to achieve in any stretch of the imagination. And a lot of 80 technology skills come to bear. And as you mentioned earlier, a lot of networking skills, things that we've learned and we've built with a lot of these traditional vendors, we bring that to the marketplace. >>You know, I've been saying on the cube, I think five years ago I started talking about this, it was kind of a loose formulation, I want to get your reaction because you brought up ecosystem, you know, saying, you know, you're gonna see the big clouds develop out. The amazon Microsoft came in after and now google and others and I said there's gonna be a huge wave of of what I call secondary clouds and you see companies like snowflake building on on top of amazon and so you start to see the power law of new cloud service providers emerging that can either sit and work with across multiple clouds. Either one cloud or others that's now multi cloud and hybrid. But this rise of the new more C. S. P. S, more cloud service providers, this is a huge part of your area right now because some call that telco telco cloud edge hits that. What is red hat doing in this cloud service provider market specifically? How do you help them if I'm a cloud service provider, what do I get in working with Red Hat? How do I be successful because it's very easy to be a cloud service provider now more than ever. What do I do? How do you help? How do you help me? >>Well, we we we offer a platform called open shift which is a containerized based platform, but it's not just a container. It involves huge amounts of tooling associated with operating it, developing and around it. So the concept that we have is that you can bring those applications, developed them once on 11 single platform and run it on premise. You can run it natively as a service in Microsoft environment. You can actually run it natively as a service in amazon's environment. You can running natively on IBM's Environment. You can build an application once and run it in all of them depending on what you want to achieve, who actually provide you the best, owning the best terms and conditions the best, the best tooling in terms of other services such as Ai associated with that. So it's all about developing it once, certifying it once but deploying it in many, many different locations, leveraging the largest possible developing ecosystem to drive innovation through applications on that common platform. >>So assumption there is that's going to drive down costs. Can you why that benefits the economics are there? We talk about the economics. >>Yeah. So it does drive down costs a massive important aspect but more importantly it drives up agility. So time to market advantages actually attainable for you so many of the tell coast but they deploy a network service traditionally would take them literally maybe a year to roll it all out. They have to do it in days, they have to do updates in real time in data operations in literally minutes. So we were building the fabric necessary in order to enable those applications and services to occur. And as you move into the edge of the network and you look at things like private five G networks, service providers or telcos in this instance will be able to deliver services all the way out to the edge into that private five G environment and operate that in conjunction with those enterprise clients. >>So open shit allows me if I get this right on the CSP to run, have a horizontally scalable organization. Okay. From a unification platform standpoint. Okay, well it's 5G and other functions, is that correct? That's correct. Ok. So you've got that now, now I want to come in and bring in the top of the stack or the other element. That's been a big conversation here at Redhead Summit and in the industry that is A I and the use of data. One of the things that's emerging is the ability to have both the horizontal scale as well as the special is um of the data and have that domain expertise. Uh you're in the industries for red hat. This is important because you're gonna have one industry is going to have different jargon, different language, different data, different KPI S. So you've got to have that domain expertise to enable the ability to write the apps and also enable a I can, you know how that works and what were you doing there? >>So we're developing open shift and a number of other of our technologies to be fit for the edge of the network where a lot of these Ai applications will reside because you want them closer to the client or the the application itself where it needs to reside. We're creating that edge fabric, if you like. The next generation of hybrid cloud is really going to be, in my view at the edge we're enabling a lot of the service providers to go after that but we're also igniting by industry, You mentioned different industries. So if I look at, for example, manufacturing with mind sphere, we recently announced with Seaman's how they do at the edge of the network factory automation, collecting telemetry, doing real time data and analytics, looking at materials going through the factory floor in order to get a better quality results with lower, lower levels of imperfections as they run through that system and just one industry and they have their own private and favorite Ai platforms and data sets. They want to work with with their own data. Scientists who understand that that that ecosystem inherently you can move that to health care and you can imagine how you actually interface with your health care professionals here in north America, but also around the world, How those applications and services and what the Ai needs to do in terms of understanding x rays and looking at common errors associated with different x rays to. A practitioner can make a more specific diagnosis faster saving money and potentially lives as well. So different different vertical markets in this space have different AI and Ml requirements and needs different data science is different data models. And what we're seeing is an ecosystem of companies that are starting up there in that space that we have, what service part of IBM. But you have processed the labs of H T H 20 and a number of other very, very important AI based companies in that ecosystem. >>Yeah. And you get the horizontal scalability of the control plane and in the platform if you will, that gives you cross organizational leverage uh and enable that than vertical expertise. >>Exactly. And you want to build an Ai application that might run on a factory floor for for certain reasons to its location and what they're actually physically building. You might want to run their on premise, you might actually want to put it into IBM cloud or in Zur or into AWS, You develop, it wants to open shift, you can deploy it in all of those as a service sitting natively in those environments. >>Darrell, great chat. I got a lot going on telco cloud, There's a lot of cloud, native disruption going on. It's a challenge and an opportunity and some people have to be on the right side of history on this one if they're going to get it right. Well, no, and the scoreboard will be very clear because this is a shift, it's a shift. So again, you hit all the key points that I wanted to get out. But I want to ask you to more areas that are hot here at red hat summit 21 as well again and as well in the industry and get your reaction and thoughts on uh, and they are def sec ops and automation. Okay. Two areas. Everyone's talking about DEV ops which we know is infrastructure as code programming ability under the hood. Modern application development. All good. Yeah, the second their security to have sex shops. That's critical automation is continuing to be the benefits of cloud native. So Deb see cops and automation. What you're taking has that impact the telco world in your world. >>You can't you can't operate a network without having security in place. You're talking about very sensitive data. You're talking about applications that could be real time chris pickling mrs actually even life saving or life threatening if you don't get them right. So the acquisition that red hat recently made around stack rocks, really helps us make that next level of transition into that space. And we're looking about how we go about securing containers in a cloud native environment. As you can imagine, there will be many, many thousands tens of thousands of containers running if one is actually misbehaving for what one of a better term that creates a security risk in a security loophole. Were assuring that up that's important for the deployment, open shift in the Tokyo domain and other domains in terms of automation. If you can't do it at scale and if you look at five G and you look at the radios at the edge of the network and how you're gonna provision of those services. You're talking about hundreds of thousands of nodes, hundreds of thousands. You have to automate a lot of those processes, otherwise you can't scale to meet the opportunity, you can't physically deploy, >>you know, Darryl, this is a great conversation, you know, as a student of history and um development and I always kind of joke about that and you you've been around the industry for a long time. Telcos have been balancing this um evolution of digital business for many, many decades. Um and now with Cloud Native, it's finally a time where you're starting to see that it's just the same game now, new infrastructure, you know, video, voice, text data all now happening all transformed and going digital all the way, all aspects of it in your opinion. How should telcos be thinking about as they put their plans in place for next generation because you know, the world is now cloud Native. There's a huge surface here of opportunities, different ecosystem relationships, the power dynamics are shifting. It's it's really a time where there will be winners and there will be losers. What's your, what's your view on on how the telco industry needs to clarify and how they be positioned for success. >>So, so one of the things I truly believe very deeply that the telcos need to create a platform, horizontal platform that attracts developer and ecosystems to their platform because innovation is gonna sit elsewhere, then there might be a killer application that one telco might create. But in reality most of those innovations that most of those disruptors are going to occur from outside of that telco company. So you want to create an environment where you're easy to engage and you've got maximum sets of tools and versatility and agility in order to attract that innovation. If you attract the innovation, you're going to ignite the business opportunity that 5G and 60 and beyond is going to actually provide you or enable your business to drive. And you've really got to unlock that innovation and you can only unlock in our view, red hat innovation. If you're open, you follow open standards, you're using open systems and open source is a method or a tool that you guys, if you're a telco, I would ask you guys need to leverage and harness >>and there's a lot, there's a lot of upside there if you get that right, there's plenty of upside, a lot of leverage, a lot of assets to advantage the whole offline online. Coming back together, we are living in a hybrid world, certainly with the pandemic, we've seen what that means. It's put a spotlight on critical infrastructure and the critical shifts. If you had to kind of get pinned down Darryl, how would you describe that learnings from the pandemic as folks start to come out of the pandemic? There's a light at the end of the tunnel as we come out of this pandemic, companies want a growth strategy, wanna be positioned for success what you're learning coming out of the pandemic. >>So from my perspective, which really kind of 11 respect was was very admirable. But another respect is actually deeply uh a lot of gratitude is the fact that the telecommunications companies because of their carrier, great capabilities and their operational prowess were able to keep their networks up and running and they had to move significant capacity from major cities to rural areas because everyone was working from home and in many different countries around the world, they did that extremely and with extremely well. Um and their networks held up I don't know and maybe someone will correct me and email me but I don't know one telco had a huge network outage through this pandemic and that kept us connected. It kept us working. And it also what I also learned is that in certain countries, particularly at a time where they have a very large prepaid market, they were worried that the prepaid market in the pandemic would go down because they felt that people would have enough money to spend and therefore they wouldn't top up their phones as much. The opposite effect occurred. They saw prepaid grow and that really taught me that that connectivity is critical in times of stress that we're also everyone's going through. So I think there are some key learnings that >>yeah, I think you're right on the money there. It's like they pulled the curtain back of all the fun and said necessity is the mother of invention and when you look at what happened and what had to happen to survive in the pandemic and be functional. Your, you nailed it, the network stability, the resilience, but also the new capabilities that were needed had to be delivered in an agile way. And I think, you know, it's pretty much the forcing function for all the projects that are on the table to know which ones to double down on. So I think you pretty much nailed it. Darrell Jordan smith, senior vice president of industries and global accounts for red hat kibble, unnatural. Thanks for that insight. Thanks for sharing great conversation around telcos and telco clouds and all the edge opportunities. Thanks for coming on. >>Thank you john >>Okay. It's the cubes coverage of Red Hat summit 21. I'm John for your host. Thanks for watching. Mhm mhm
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Thanks for coming back on the cube. Everything about the cloud native underpinnings you guys have been successful as a company but now in your with the applications that are being developed out there on our platform and as you Um, it's not just that consumer, hey, surf the web and check your email and get So all of those things are going to deliver a new experience for everyone on with the edge in five G one is under the hood, networking, you know, can I Cause you really quickly? We're just kidding. So no I'll give you like a little can you ask the question just to get out of my mind? So we'll stay on your shot. he just asked the question. I'm just gonna just jimmy and just keep my other question on the with open stack and the last time I was on the cube, I talked about, you know, people virtualizing certainly disrupting the Telco cloud, you have an operator mindset of cloud Native operator one element of that operations in terms of management and orchestration and all the tooling to this is that, you know, moving to the cloud was all about 2 2015. And a lot of 80 technology skills come to bear. and others and I said there's gonna be a huge wave of of what I call secondary clouds and you see companies So the concept that we have is that you can bring those that benefits the economics are there? And as you move into the edge of the network and you look at One of the things that's emerging is the ability to have both enabling a lot of the service providers to go after that but we're also igniting by industry, that gives you cross organizational leverage uh and enable that than You develop, it wants to open shift, you can deploy it in all of those as a service sitting natively So again, you hit all the key points that I wanted to get out. You have to automate a lot of those processes, otherwise you can't scale to meet the opportunity, development and I always kind of joke about that and you you've been around the industry for a long time. So you want to create an environment where you're easy to engage and you've got maximum If you had to kind of get pinned down Darryl, how would you describe that learnings from the pandemic a lot of gratitude is the fact that the telecommunications companies because of and said necessity is the mother of invention and when you look at what happened and what I'm John for your host.
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Paul Cormier, Red Hat | Red Hat Summit 2021 Virtual Experience
>>mhm Yes. Welcome back to the cubes coverage of red hat summit 2021 virtual john for your host of the cube paul. Comey who's here is the president and Ceo of red hat cube alumni paul always great to have you on the leader of red hat now President and Ceo for a year I think about a year now we're looking at under your belt now part of IBM Great to see you. >>You too nice to see you again john. >>So we've talked many times on the Cuban now. It's kind of playing out in real time. The software world with open source has gone mainstream. The conversation was moved to the cloud. Okay. People move to the cloud. Cloud native emerges devil has been around for a while. But now the conversation is cloud for the enterprise that uh, the enterprises, it's a tough world. You gotta, it's complicated is a lot of legacies, a lot of value and you want the new stuff. This is what the conversation is now. It's shifted to I got cloud, it's hybrid. What's your reaction to that? >>Well, you know, it really is, as you say, it's complicated but it's evolving and really, really fast. I mean, you know, I think you remember we've been here a lot. You first remember first software is eating the world and open source software is eating the world and in every every company is becoming a software company. All true. But that evolution continues today with the proliferation of hybrid cloud environments that it encompasses everything from data centers to public cloud services to And even now we'll talk about two for far flung edge deployments. That's all now part of the cloud. I mean, this is all what makes up hybrid. I like to always say that Hybrid really is the new data centers but now see IOS and I thi leaders, they need to reconsider what their roles, what their role here is and the way we look at it as every C I O now needs to be a cloud operator because because Hybrid is what their environment is now today, that used to be all in their data center. So, so but one of the things that really makes a choice even more important and its leaders, they need to address address specific needs, um not only to the organization, but even as they change and evolve in this because it really is a dynamic environment, I mean think about it and just mentioned edge and how how important that is to see IOS, we weren't even talking about that two years ago, so, so it's not a single answer here, right? Um and and you know, and there as there wasn't a single answer when it was all in one building or in one data center, but now it's even it's even more complex. So, so we need to enable really a new wave of cloud operators here with technologies that can be deployed as cloud services as well as on premises. We'll talk more about this too, but and we'll talk about this at the summit. We talked about the summit. Cloud services become really important, especially managed services, for example, because, um because we're so complex, Hybrid brings so much power, but it is complex. You know, see I need help with this, they need help managing this now. And so that's really where a lot of our focus is today. >>It's interesting you say there's no single answer. I would agree with you because it's now you can actually do a lot more customization with cloud and Hybrid. I think there's a general sentiment and directionally correct answer uh in the industry is that hybrid is operating model right? And I think you guys are have a whole division of SRS google talks about this all the time and their cloud site reliability engineers. And I think you're seeing that in educational institutions which we'll talk about. But I think this idea of cloud scale as the new I. T. And you mentioned hybrids, the new data center. You know, I don't I don't want to offend my I. T. Friends out there but they're kind of all realizing it to that if they don't understand how to operate cloud scale they'll be irrelevant and they're and they understand that their jobs are not just provisioning storage, networking and servers. Those are now involved in a hybrid architecture. And by the way, there is no one recipe, it's dependent. Each enterprise can have its own set of architecture based on their workloads again. So I buy that no single answer, but there is hybrid and I think it's pretty well understood. I mean, do you agree with that? >>I absolutely agree with that. But let's take a look at this, unpack it a little bit and take a look at the building blocks a bit. Right. Um, you know, we talked about open sources, what's driving all of this now and and everything we're talking about here is built in and around Lennox and it was only possible because Lennox was so open, so available and became so powerful, that's now been the platform that all this new innovation is built around. I mean, I oftentimes saying it's true the cloud just wouldn't be here had Lennox not only made its way in the open source development environment, but made its way into the enterprise to enable it to companies like us that make it enterprise ready, secure etcetera. So I think that's really an important thing to understand here. So when you talk about skills that the Ceos need certainly SRE skills, operation skills etcetera, but they also need Lennox skills and even open source skills. So so I think I think that's important, everything that's coming down the road and in in this space in um in his open source based and built in and around Lennox things like ai quantum computing, autonomous vehicles um IOT in and out to the edge all built on a foundation of Lennox and open source. So we see it in the enterprise everywhere now. I mean a survey where you know we did a survey out there and looking at the survey of C I O s out there, open is predominant out there, Lennox is predominant out there in hybrid is predominant and growing in a pretty big clip every year. >>You know, paul, I want to get your reaction to something because this may be kind of a dot connecting moment for me because I want to get your thoughts on this because it's a it's a pattern I'm seeing emerging now multiple times and usually I thought this was kind of a one off, but I'm starting to see it. So I'm going to get your thoughts on this. You guys have been super successful with open source in the enterprise, Super successful over decades, building a community and an ecosystem now with open source with with cloud Native, specifically we're seeing end users participating more in the, in the contribution starts out with the hyper scale ear's but now you're seeing kind of, I would call general purpose mainstream enterprises contributing projects, not necessarily their expertise, but they've been participating in taking the goodness of open source and bringing that into the into the enterprise. And I'll see you relying on you guys as well. But now I'm starting to see the pattern where people are relying on you to bring your community to them and they merge their communities with you guys and being kind of a steward there, is that a pattern? Do you see that evolving? Because we've heard that on multiple interviews on the cube where we've heard end users say we love the red hat ecosystem and and that seems to be more and more about they want to be building their ecosystem. So you did it for yourselves, you did it for the industry. Now, enterprises want this service is this is this is a pattern. And what's your reaction to that? >>It actually is a pattern because it's actually one of the reasons why innovation is moving so quickly right now. As I just said, you know, you know, this whole area here in infrastructure and cloud and development environments, Hybrid included. It's all built in and around, it's all built in and around Lennox. And in the past, what's happening and driven by open source development in the past? What happened? Look at the old fashioned way, right, where a company like us would be in a company, software company, not like us, but any old software company would be, you know, in their stovepipe, talking to their customers, getting their requirements and then bringing those requirements back from the customer base and then trying to work that into their products over time, get that back out to the customer to test it and try it, see it as it works. That's probably a five year, there's probably a five year journey, uh, for big, big requirements for big change requirements you look at now with, with actually end users now participating in upstream development, they're building their requirements into that upstream, which is our development environment. And actually that's what feeds our products. And so we've cut out the middleman, if you will completely in there now when we're building those requirements into our future future, R and D work in the upstream and then we bring that down into a product back into their enterprise for them to use in production. So it cuts out years of time for that innovation to get from concept to building to product, rising to production. And, and I think, you know, john, that's one of the big reasons why that customer base participating is one of the big reason why we're seeing innovation move like we've never seen it before in the enterprise, which in the old days that was a stodgy place where they didn't want to move very quickly. >>Yeah. And the values there, I mean I think it's clear what the pandemic we get to this towards the the last last talking track here. But with the pandemic I think it's pretty clear what the value is and the speed to capture opportunities and growth. I think enterprises are realizing that I think the power of the ecosystem is a modern error kind of phenomenon that is now kind of showing its its value and clearly in the market. And I think people who harness communities and ecosystems not try to fork them but connect them and and intersect them and kind of played well together. So again this is an open source concept kind of re imagined so we'll keep an eye on that. So, um, I want to get to your comment in the kino you mentioned at the top here every C I. O. It has to be a cloud operator. You know, that reminds me of all the start ups and all the positioning statements. Every company needs to be a software company. Every company needs to be a media company. Every company needs to be a cloud operator. So I love that. What does it mean? Because I could say, hey paul, I have a cloud, I'm working on amazon Or is that it? Or wait a minute as yours got, I got 365 over here and I'm using big query over here. I might use oracle over here. I mean all these multi cloud conversations. So it's confusing. >>Yeah. Tell me what, you know, if you look at, if you look at it, we were really one of the first ones to really build around this hybrid, this hybrid concept. And the reason why we were one of the first ones is because what amazon hit the world 12 or 13 years ago or something like that, They were the first major cloud and at the time that the narrative was that, you know, every application was going to move to the cloud tomorrow. Right well, because as I said earlier, everything is built in and in and around open source. And legs were very involved with our customers as they tried to move those first applications to the cloud. So certainly is a lot of value and moving to the cloud. But our customers quickly realized with us helping them, quickly realized that you know what, this is great. But not every application suited for the cloud, um for any cloud, but also I may want to run multiple clouds because another cloud provider over here might have a better service than this particular service over here, vice versa. And so we were in the middle of that. So one of the decisions we made seven or eight years ago, everything we did in that last seven or eight years around the portfolio, whether it was building products, m and A, requiring new companies etcetera, was built around that hybrid portfolio. What that means is a common platform that sits both on premise and bare metal machines. Virtual machines, private clouds on premise multiple clouds across out in the enterprise, that common platform so that developers, operators and the security people have that common platform to build with because just like in Lenox, even though they are all derived from open source upstream, they're all different, they all make different choices and how they're going to configure themselves. So, so that's important. So now we're out there with these multiple clouds. One of our surveys we see our Ceo is telling us now that You're using on the average I think six Clouds today and they expect that to go 8-10 over the next 3-5 years. So how are they going to manage that? How are they going to secure that? How are their operations people going to operate with that? That's all the things that we've been working on over the last number of years. So from that common platform, which is sort of the basis which is open shift to underneath it, which is the Linux operating system, which is well that spans all those footprints that I talked about. And then also you look at one of the latest trends is as well as manage services because what customers are now telling us is okay I got this environment that this hybrid is now my data center. It means I have to worry about these apps all in different footprints. Um I want to the platform to act like a cloud in some cases I don't want to I don't want to even manage it. I want you to manage it for me because for many reasons I want great up time. I might not have the right skill sets in my organization and so I want you to manage it. And so that's where we develop managed services and that's where we have set a large group today large SRE group that's providing those managed services no matter where our platform runs for our customers. Also, what I talked about in my keynote today is that to support that thought process is that we're doing a lot of research in this and so, you know, in a typical computer science research world, you know, of the past, you might really be into the into the real computer science of Research. We with the consortium around mass Open cloud with Boston University, MIT, Harvard Northeastern with this consortium. We're running mass Open cloud on all Red Hat with the collaboration of these universities and we're really focusing on the sorry aspect of it. What do we need to manage it? What do we need around automation to manage it? What do we need around ai to manage it? What do we need for tools to manage it? And and that's really goes down to what I fully briefly said in the beginning, is that every C I O N I T uh executive now has to be their own cloud operator because they are effectively stitching all these disparate clouds together. So that's where a big part of our focus takes us all the way from, You know, upstream development to product to the research we're doing for the next 3-5 plus years. >>You know, I gotta say the hybrid cloud is a new data center which is implying I T in the cloud operators with C X O S and C IOS is interesting because it's validated by Mckinsey's recent report that came out that said there's a trillion dollars of untapped value in one retrofitting existing infrastructure and operations and to net new operate use cases that the cloud enables. So there's clearly not two categories of value proposition that businesses are facing. One is, you know, kind of take care of the existing and then also bring in the new that cloud enables. So, you know, I think that's really key and that will drive the business leaders to foresight, if you will to be agile and adaptive to that. So so totally agree on that. I love this open cloud initiative, you mentioned the mass open cloud which I know is kind of like this beanpot for techies, um people who know what that means, uh it's in the boston area these institutions um this is gonna be a training and an opportunity to train the next generation and if you take it to the next level cybersecurity is also in this kind of net new novelty, interdisciplinary components. So you got engineering which is like devops engineering and then Systems Engineering and Computer Science intersecting together with kind of this data discipline. So it hits cybersecurity which is a board level conversation, it hits the new business model opportunities which is a driver, this is new, this is there's no pre existing curriculum. What how do you explain that to heads of the departments and the deans of these institutions saying, you know, it's an engineering thing. No, it's computer science thing. No, it's a it's a business school thing with data science. What's your what's your conversation with folks in the industry when you say this is a different thing? >>Uh you know, the university, you know, the university is getting, it was actually one of the one of the first things this is you know what you'll see. You know, I talked to uh dr bob Brown from President bu earlier in an interview and and this is what we imagined with them early on and even they brought those disciplines together now in in in what they call a harry institute, where to bring data, computer science engineering as you say. And now even operations, it's almost like, you know, systems engineering on steroids, it's a really big spanning system. And so so the universities are starting understand that's why these universities in the consortium, that's why we're working here. But also, you know, the industry's kind of learning it the hard way because now that they get some of their developers starting to move some of their application developments out into one, maybe two clouds and having the now they have to figure out how they're going to do all those things that we talked about, develop, secure operated. So they're they're learning the hard way that this is the new discipline because that's reality. I also think that, you know, as I said, like anything in tech, we always say this is going to happen tomorrow. I also think, like I said, when when cloud first came came out, everybody saying, I'm moving every app to the cloud tomorrow. We even had customers that bought into that said we're moving going full board but they realized once they get into it it wasn't practical. Don't take me wrong. Cloud brings a ton of value here but from a practical perspective it's going to be some apps and across many clouds and and so now they're having to deal with the I. T. Execs and the C. I. Was having to deal with it. So they're learning really fast because of the reality that they have to deal with. Now having said all that to it also brings up why managed services you're seeing so popular right now because as that's moving so fast they just don't have the skills necessary in many cases to really operate and run in this in this type of environment. It brings so much power but the skills aren't necessarily there in the industry. So that now you see the connection between the industry where we sit and even the university now looking at this whole big problem as as you put said, john, actually a new discipline, >>I think, I think, and I think one final leg of a three legged stool is at the business schools because when you think about systems programming, you mentioned that and you know, I love to go back in history and look at the history of operating systems. And you know, paul, we've talked us in the past and you guys know a lot about operating systems from a technology standpoint, it's not just about a productivity suite for a user or a department with the system, it's a company that needs to be programmed. So when people want to globally operate their business, that software defined this isn't now and this is now happening, right? So this the new leaders in these companies that want to run these global companies that scale operate them, just like operating the business not necessary. Operating a tech or shiny new toy, have to build the operating system for the business. To me, I think that's where I see IBM looking at cloud differently and saying, hey, this is an operating system under the covers for the business. The applications are multi fold from, you know, an application for productivity to an edge device, industrial or consumer user work at home. I mean it's a plethora of applications. What's your reaction to that? And you you see the same thing? >>I mean frankly, I think this is an area that a lot of the infrastructure players missed in the past. And I think I think this is what IBM saw with with bringing us in as well. It's all about the application. You know, I said earlier that, you know, we said every every company was a software company is true. And so that means the companies are running their businesses on these applications. So it's all about the app and I think a lot of infrastructure companies miss that. And and so with Hybrid now you have that ability to run the app wherever makes the most sense for for a whole host of reasons. And so now, but now comes the complexity of all of that. I think, I think IBM with bringing us in saw that that Hybrid was maybe as big, if not a bigger opportunity than cloud itself because of of the complexity it's going to bring, the power is going to bring. But also the complexity is gonna bring. I see that's why, you see Arvind, I sort of doubling down the entire IBM company on on hybrid services that are that are going to be really important here, that they provide these applications on top that are going to be really important, but that have to be architected in such a way that they can run in a hybrid environment. And finally there's all the infrastructure and tools and development pieces that we bring to the table. So, So yeah, I think I think are really, really understood that as they made the decision to bring redheaded, >>I talked to a center all the time and they also have this kind of concept of re factoring and reprogramming your business. Uh, it's not, it's a holistic view. This is kind of what's happening. So my final question for you is as as that becomes software enabled and programmed if you will with applications the business with many different subsystems in there. Um a lot of companies now looking at the light at the end of the tunnel with the pandemic and they're seeing vaccines coming out. Some say vaccines will be pretty much everywhere, everyone over 12 by the fall. So we're back to real life. There's gonna be a pullback of some projects on doubling down on others. As you as you mentioned, what are we doing? We're starting to see hybrid as companies come out of the pandemic, they're all jockeying to make sure that they have either done their work to re factor or reposition, reprogrammed their business and be set up for net new opportunities. >>What >>do you see as a growth model or growth opportunities for companies? You want to come out with a growth strategy out of the gate of the pandemic. What's your thoughts? >>Well, I mean, I think you have to plan for companies have to plan for your workforce to be anywhere, but in order to be anywhere in and to be productive, you need you need services like we're on right now for example, but you need the infrastructure to be able to do that. You need you need a way for your customers if you buy the fact that every company is a software company, you're running a business through their applications either way for your customers to be able to interact with you anywhere from where they are anywhere in a real time way. And so I think that's why from our perspective, things like that we're pushing a lot on the edge. Now, that's why you're seeing the hybrid cloud moved all the way out into the edge and you can see it in every vertical, you know, in the telco space. The edge means you gotta do, you have data and compute that needs to be done on the set on the cell tower in the manufacturing world. You have the state and compute that needs to be done on the factory floor, in the retail vertical. We see the edge really being significant in all these verticals, but but that edge is now extends that hybrid data center that we've been talking so much about. So even though you have all these edge devices way out there on the edge, it's a critical part of the business. So you have to have, your developers need need to be able to develop for it, you need to secure it, you need to and you need to operate it and manage it. So now, you know, in a very short period of time, hybrids taken on another dimension, bringing you out to all these points on the edge which is the same but slightly different in every vertical. Now comes complexity and that's why automation is so important because with that power comes complexity but it's going to take automation to keep it all running, >>paul. Great insight. Thanks for coming on the cube. Open innovation out in the open with with you guys again continue. And the focus of the evolution of software and the cloud with enterprise I. T. Clearly a lot of innovation and your contribution to academia and the mass open cloud and all the open cloud initiatives, phenomenal. The world's going. Open source and continues and continues. Doesn't stop. The operating system of businesses is coming and you guys are well positioned. Thanks for coming on. >>Thanks again john. Always a pleasure. >>Okay paul, Cormier, President Ceo of Red Hat here on the Cuban, john for your host. Thanks for watching. Yeah. Yeah. Mhm mm.
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to have you on the leader of red hat now President and Ceo for a year I think about You gotta, it's complicated is a lot of legacies, a lot of value and you want the new stuff. I mean, you know, I think you remember we've been here a lot. And I think you guys are have a whole division of SRS google I mean a survey where you know we did a survey out there and looking at the survey of But now I'm starting to see the pattern where people are relying on you As I just said, you know, you know, this whole area here in infrastructure and cloud and development You know, that reminds me of all the start ups and all the positioning I might not have the right skill sets in my organization and so I want you to manage heads of the departments and the deans of these institutions saying, you know, it's an engineering thing. So that now you see the connection between the industry where we sit And you know, paul, we've talked us in the past and you guys know a lot about And and so with Hybrid now you have that I talked to a center all the time and they also have this kind of concept of re factoring and reprogramming your business. do you see as a growth model or growth opportunities for companies? need need to be able to develop for it, you need to secure it, you need to and you need to operate it And the focus of the evolution of software and the cloud with enterprise Always a pleasure. Okay paul, Cormier, President Ceo of Red Hat here on the Cuban, john for your host.
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BOS4 Rashik Parmar VTT
>>from >>Around the globe, it's the cube with digital coverage of IBM think 2020 >>one brought to you by IBM. Hello everyone and welcome back to the cubes ongoing virtual coverage of IBM think 2021 this is our second virtual think and we're going to talk about what's on the minds of C. T. O. S with a particular point of view from the EMEA region. I'm pleased to welcome rasheed Parmer, who is an IBM fellow and vice president of technology for Armenia that region. Hello rashid, Good to see you. >>Hey David, great to see you. >>So let me start by by asking talk a little bit about the role of the C. T. O. And why is it necessarily important to focus on the C. T. O. Role versus say some of the other technology practitioner roles? >>Yeah. You know, you know, they as you look at all the range of roles of the got in in the I. T. Department, the CTO is uniquely placed in looking forward how technology and how digitization is gonna make a difference in the business but also at the same time is there as the kind of thought leader for how they're going to really you re imagine the use of technology reimagine automation, reimagining, how digitalization helps them go to market different ways. So the CTO is a unique unique position from idea to impact. And in the past we've kind of lost the C. T. A little bit but they're now re emerging as being the thought leader that's owning and driving digitalization going forward in our big plants. >>Yeah I agree. And it really has a deep understanding of that vision and can apply that vision to business success. So you obviously have a technical observation space and you also have some data so maybe you could share with our audience how you inform yourself and your colleagues and IBM on on what C. T. O. S. Are thinking about and what they're worried about. >>Yeah. So what we've done over the last four years now is gone out and interviewed Cdos and we do a very unstructured interviews. It's not it's not a survey in the form of uh you know, filling these uh these 10 questions and tell us yes or no. It really is a structured interviews. We asked things like what's top of mind for you, what are the decisions you're making? What's holding you back? What decisions do you think you shouldn't have made or you wouldn't have liked to make? And it's that range of a real input from the the interview. So last year we interviewed 100 CTO s um this year we're actually doing a lot more. We're working with the IBM Institute Business Value and we're gonna interview a lot more teachers but but the material we're gonna talk about today is is really from those 100 CTO interviews. >>Yeah. And I think that having done a lot of these myself, when you do those, we call them, you know in depth interviews, our I. D. S. You kind of have a structure and you sort of follow that but you learn so much and that it maybe does inform those more structured interviews that you do down the road. You learn so much, but maybe you could summarize some of the concerns in the region. What's on the minds of Ceos? >>Yeah. And you know, the the real decisions are made based around seven points. Right? So the first one is we all know, we're on a journey to the cloud but it's a hybrid multi cloud. How do I think about the range of capabilities and need to be able to unlock the latent potential of existing investments and the cloud based capabilities of God. So, so the hybrid cloud platform is one of the the first and foundational pieces. The second challenge is the C e O s want to modernize their applications and that modernization is a journey of moving towards microservices. That microservices journey has two parts. One is the business facing view and that's what containers is all about, choosing the right container platform at the same time. They also want to use containers as a way of automation and management and reducing the effort in the infrastructure. So, so that's kind of two parts of the whole container journey. So Microsoft, this has really become the business developer view and containers become the operational view At the same time. They want infused new data, they want to climb the ladder, they want to get the new new insights from that data that plugs into those new workflows to get to those workflows. There's a decision around how do I isolate myself from some of the services of using that? And we created a layer in the decisions around what's called cloud services integration. So cloud services integration is kind of the modern day E S B as we might think about it, but it's a way in which you choose which technology, which a P I is. I'm going to use from where and then ultimately, the CTS are trying to build what are the new, the new workflows, intelligent workflows and they're really worried about how do I get the right level of automation that managing that issue between what becomes creepy and valuable, Right? You know, the some workflows that happen, you think, why the hell did that happen? Right. That doesn't make sense. And and and and it really sort of nerves. The consumer, the user where some which are, wow, that's really cool. I really enjoyed that. To try to get the intelligent workflows right is a big concern. And then on the two big perils of that is how do we manage the system, the operational automation right from having the right data observe ability of all the infrastructure, recognizing they've got a spectrum of things from 30 40 50 year old systems to modern day cloud native systems, how to manage how operationally automate that keep that efficient, effective. And then of course protecting from the perpetrators, right? Business, a lot of people out there wanting to begin to the systems and, and, and and draw all kinds of, you know, a data from their system. So security, privacy and making sure that align with the ethics and privacy of the business. So those are those are the kind of range of issues right from the journey to cloud, through to operational automation, through through intelligent workflows, right into manage and protecting the services. >>It's interesting. Thank you for that. I mean I remember and you will as well some of the post Y two K you know, thrust and part part of the modernization back then was during that they had budget to do that. But a lot of times organizations would make the mistake that they would they're going to migrate off of a system that was working just fine. That was there sort of mental model of of modernization. And it turned out to be disastrous in many cases. And so when I talk to Ceos they talk about maybe, you know, I'd look at it is this this abstraction layer we want to protect what we have that works. Yes. Some stuff is going to go into the public cloud, but this hybrid connection that you talk about and then we want control and the way we're gonna get control is we're gonna use microservices to modernize and use modern A. P. I. S. And so very very sort of different thinking. And of course they want to avoid migration at all costs because it's so expensive and risky. I wonder if you could talk about, are there any patterns in terms of where people get started and the kinds of outcomes that they're working towards that they can measure? >>Yeah, we we kind of lumped the learning from the work into three broad patterns, right? Um one pattern is primarily around survival. They recognize that this journey is very complex. The pandemic has created tremendous challenges. The market dynamics means they've got to try and really be thoughtful in in taking cost out and making sure they survive some of these issues. And so the pattern is really around cost reduction. It may start with a hybrid cloud, it may start with intelligent workflows but it's really about taking costs out of the systems. The second pattern is what is referred to as a simplification pattern and this is about saying but we've got we've got so much complexity because of technical debt because of you know systems that we've half migrated and half done things with. So how do I how do I simplify my I. T. Landscape from applications through infrastructure for data and make it more consistent, manageable and and effective. And then the 3rd 1 is their city is saying look we've got a really pick the time when we super scale something, we've got something which we are unique and effective on and I want to take that and really super scale that very quickly and make that consistent and really maximize value of it so that the pattern is really fall into three categories of driving, driving, cost reduction and survival, simplification and modernisation transformation. And then those that have got something which is unique and special and really super scaring up. >>Yeah. Right, right, doubling down on those things. That unique competitive advantage in the, in the studies that you've done over the years. You use this term ADP architectural decision points and some of them are quite compelling. Maybe you could talk about some of those. Were there some anxieties from the cdos that you uncovered? >>Yeah. You know, the, the NDP s talk about the 70 Gps and it starts from the higher ability crowd through to two intelligent workflows and so on. And the NDP s themselves are really distilling the client's words and the clients way of thinking about how they're going to drive those, those technologies, um and also how they're going to use those techniques to make a difference. But if we went through those interviews, what became apparent is, see us do have some anxieties as you refer to, and those anxieties, they couldn't necessarily put words on them and their anxieties. Like, are we thinking enough about the carbon footprint? Are we are we being thoughtful in how we make sure we're reducing carbon footprint or reducing the environmental impact of the infrastructure? You've got, we've got sprawling infrastructure um ripping out rare metals from the earth. Are we being thoughtful in how we reduce the amount of rare metals we have water consumption right through to is the code that we're producing efficient, secure and and fit for for the future. Are we being ethical in capturing the data for its right use? Um Is the ai systems that we're building? Are they explainable? Are they ethical? Are they free from bias or are we kind of amplifying things that we shouldn't be amplifying? So there was a whole bunch of those call anxieties and what we did along with the architectural decision report. A point after decision report was was identify what we call a set of responsibilities. And and we've built a framework about around responsible computing which is which is a basis for how you think through what your responsibilities are as a as a Ceo are as an I. T. Leader. And we're right in the process of building out that that kind of responsible computing framework. >>You know it's interesting a lot of people may may think about they think about the responsible computing and and and the sustainability and they might think that's a 1 80 from Milton Friedman Economics, which is the job of businesses to make profits. But in fact responsible computing, there's a strong business case around it. It actually can help you reduce costs that can help you attract better employees. Because young people are passionate about this. I wonder if you could talk about how how people can get involved with responsible computing and lean in. >>Yeah, so what we're about to publish it is actually manifesto for responsible computing. So I think everybody wants to get that published. I'm hoping to do that in the next two or three months. We're working with a few clients. So there's actually three clients that have chosen through your client cts from the ones that we interviewed were very keen to collaborate with us in laying out that that manifesto and the opportunity really is from anybody listening. If if you if you find this of great value, please do come and reach out to me more than happy to collaborate. We're looking for more insights on this. We've also had some competitions. So in in in a media we've had a competition with business partners, looking for ideas of how we can really showcase examples or exemplars of being responsible computing provider, whether it's at the level of responsible data center, whether it's about responsible code data, use Responsible systems right through the responsible impact. And obviously a lot of our work around things like your tech for good is tied directly to responsible impact. And of course, if you want to see what we have never been doing are responsible responsibility report, which we've been voluntarily publishing for the last 30 years, provides a tremendous set of insights on how we've done that over the years. And and that's a that's a great way for you to see how we've been doing things and see if there are people in your business. >>Yeah. So there's so there's the, the ADP report is available. You can check it out on on linkedin. Um, go to, go to Russia linked in profile, you'll find it. There's a blog post that talks about the next wave of, of digitization, uh, you know, the learnings that you just talked about. So there's a lot of resources for for people to get involved. I'll give you the last word. >>Yeah. And look, this is this is what I call job big and it's not job done that the whole ADP responsible computing is a digitization journey where we want to balance delivering business value and making a difference to the organization, but at the same time being responsible in making sure that we're thoughtful what's needed for the future and we create impact that really matters. And we can feel proud that we've put a foundation for digitization which will which will serve the businesses for many years to come, >>love it, impact investing in your business and in the future. Russia, thanks so much for coming on the cube. Really appreciate it. >>A pleasure. Thank you. >>Okay, keep it right there for more coverage from IBM think 2021 this is Dave Volonte for the Cube. Yeah, yeah.
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Neil MacDonald, HPE | HPE Accelerating Next
>>Okay, >>welcome to Accelerating next. Thank you so much for joining us today. We have a great program. We're gonna talk tech with experts, will be diving into the changing economics of our industry and how to think about the next phase of your digital transformation. Now. Very importantly, we're also going to talk about how to optimize workloads from edge to excess scale with full security and automation all coming to you as a service. And with me to kick things off as Neil Mcdonald, who's the GM of compute at HP NEAL. Always a pleasure. Great to have you on. >>It's great to see you dad >>now, of course, when we spoke a year ago, we had hoped by this time we'd be face to face. But here we are again, you know, this pandemic, It's obviously affected businesses and people in so many ways that we could never have imagined. But the reality is in reality, tech companies have literally saved the day. Let's start off, how is HPV contributing to helping your customers navigate through things that are so rapidly shifting in the marketplace, >>although it's nice to be speaking to you again and I look forward to being able to do this in person. At some >>point. The >>pandemic has really accelerated the need for transformation and businesses of all sizes. More than three quarters of C. I. O. S. Report that the crisis has forced them to accelerate their strategic agendas, organizations that were ready transforming or having to transform faster and organizations that weren't on that journey yet are having to rapidly develop and execute a plan to adapt to this new reality. Our customers are on this journey and they need a partner for not just the computer technology but also the expertise and economics that they need for that digital transformation. And for us this is all about unmatched optimization for workloads from the edge to the enterprise to extra scale With 360° security and the intelligent automation all available in that as a service experience. >>Well, you know, as you well know, it's a challenge to manage through any transformation, let alone having to set up remote workers overnight, securing them, re setting budget priorities. What are some of the barriers that you see customers are working hard to overcome? >>Simply put the organizations that we talk with our challenged in three areas. They need the financial capacity to actually execute a transformation. They need the access to the resource and the expertise needed to successfully deliver on a transformation. And they have to find the way to match their investments with the revenues for the new services that they're putting in place to service their customers in this environment. >>You know, we have a data partner E. T. R. Enterprise Technology Research and the spending data that we see from them is it's quite dramatic. I mean last year we saw a contraction of roughly 5% of in terms of I. T. Spending budgets etcetera. And this year we're seeing a pretty significant rebound. Maybe a 67% growth ranges is the prediction. The challenge we see his organizations have to they got to iterate on that. I call it the forced march to digital transformation and yet they also have to balance their investments. For example that the corporate headquarters which have kind of been neglected. Is there any help in sight for the customers that are trying to reduce their spending and also take advantage of their investment capacity? >>I think you're right. Many businesses are understandably reluctant to loosen the purse strings right now given all of the uncertainty. And often a digital transformation is viewed as a massive upfront investment that will pay off in the long term, and that can be a real challenge in an environment like this, but it doesn't need to be uh, we work through HP financial services to help our customers create the investment capacity to accelerate the transformation, often by leveraging assets they already have and helping them monetize them in order to free up the capacity to accelerate what's next for their infrastructure and for the business. >>So can we drill into that? I would wonder if you could add some specifics. I mean, how do you ensure a successful outcome? What are you really paying attention to as those sort of markers for success? >>Well, when you think about the journey that an organization is going through, it's tough to be able to run the business and transform at the same time and one of the constraints is having the people with enough bandwidth and enough expertise to be able to do both. So we're addressing that in two ways for our customers. One is by helping them confidently deploy new solutions which we have engineered, leveraging decades of expertise and experience in engineering to deliver those workload optimized portfolios that take the risk and the complexity out of assembling some of these solutions and give them a prepackaged validated supported solution intact that simplifies that work for them. But in other cases we can enhance our customers bandwidth by bringing them HP point Next experts with all of the capabilities we have to help them plan, deliver and support these I. T. Projects and transformations. Organizations can get on a faster track of modernization, getting greater insight and control as they do it. We're a trusted partner to get the most for a business that's on this journey in making these critical computer investments to underpin the transformations and whether that's planning to optimizing to save for retirement at the end of life. We can bring that expertise to bear to help amplify what our customers already have in house and help them accelerate and succeed in executing these transformations. >>Thank you for that. Let's let's talk about some of the other changes that customers see him in the cloud is obviously forced customers and their suppliers to really rethink how technology is packaged, how it's consumed, how it's priced. I mean there's no doubt in that. So take Green Lake, it's obviously leading example of a pay as you scale infrastructure model and it could be applied on prem or hybrid. Can you maybe give us a sense as to where you are today with Green Lake? >>Well, it's really exciting now from our first pay, as you go offering back in 2006, 15 years ago to the introduction of Green Lake. HBs really been paving the way on consumption-based services through innovation and partnership to help meet the exact needs of our customers. Hp Green Lake provides an experience, is the best of both worlds. A simple paper use technology model with the risk management of data that's under our customers direct control and it lets customers shift to everything as a service in order to free up capital and avoid that upfront expense that we talked about. They can do this anywhere at any scale or any size and really HP Greenlee because the cloud that comes to you >>like that. So we've touched a little bit on how customers can maybe overcome some of the barriers to transformation. What about the nature of transformations themselves? I mean historically there was a lot of lip service paid to digital and and there's a lot of complacency, frankly, but you know that covid wrecking ball meme that so well describes that if you're not a digital business, essentially you're gonna be out of business. So, you know, those things have evolved, how is HPV addressed the new requirements? >>Well, the new requirements are really about what customers are trying to achieve. And four very common themes that we see are enabling the productivity of remote workforce. That was never really part of the plan for many organizations being able to develop and deliver new apps and services in order to service customers in a different way or drive new revenue streams, being able to get insights from data so that in these tough times they can optimize their business more thoroughly. And then finally think about the efficiency of an agile hybrid private cloud infrastructure. Especially one that now has to integrate the edge. And we're really thrilled to be helping our customers accelerate all of these and more with HP computer. >>I want to double click on that remote workforce productivity. I mean again the surveys that we see, 46 of the ceo say that productivity improved with the whole work from home remote work trend. And on average those improvements were in the four range which is absolutely enormous. I mean when you think about that how does HP specifically help here? What do you guys do? >>Well every organization in the world has had to adapt to a different style of working and with more remote workers than they had before. And for many organizations that's going to become the new normal. Even post pandemic, many I. T. Shops are not well equipped for the infrastructure to provide that experience because if all your workers are remote the resiliency of that infrastructure, the latency is of that infrastructure, the reliability of are all incredibly important. So we provide comprehensive solutions expertise and as a service options that support that remote work through virtual desktop infrastructure or V. D. I. So that our customers can support that new normal of virtual engagements online everything across industries wherever they are. And that's just one example of many of the workload optimized solutions that we're providing for our customers is about taking out the guesswork and the uncertainty in delivering on these changes that they have to deploy as part of their transformation. And we can deliver that range of workload optimized solutions across all of these different use cases. Because of our broad range of innovation in compute platforms that span from the ruggedized edge to the data center all the way up to exa scale in HPC. >>I mean that's key if you're trying to affect the digital transformation and you don't have to fine tune, you know, basically build your own optimized solutions if I can buy that rather than having to build it and rely on your R and D. You know, that's key. What else is HP doing? You know, to deliver new apps, new services, you your microservices, containers, the whole developer trend, what's going on there? >>Well, that's really key because organizations are all seeking to evolve their mix of business and bring new services and new capabilities, new ways to reach their customers, new way to reach their employees, new ways to interact in their ecosystem all digitally. And that means that development and many organizations of course are embracing container technology to do that today. So with the HP container platform, our customers can realize that agility and efficiency that comes with container ization and use it to provide insight to their data more and more on that data of course is being machine generated or generated the edge or the near edge. And it can be a real challenge to manage that data holistically and not of silos and islands at H. P. S. Moral data fabric speeds the agility and access to data with a unified platform that can span across the data centers, multiple clouds and even the edge. And that enables data analytics that can create insights powering a data driven production oriented cloud enabled analytics and AI available anytime anywhere and at any scale. And it's really exciting to see the kind of impact that that can have in helping businesses optimize their operations in these challenging times. >>You gotta go where the data is and the data is distributed. It's decentralized. I I like the liberal vision and execution there so that all sounds good. But with digital transformation you're gonna see more compute in hybrid deployments. You mentioned edge. So the surface area, it's like the universe its its ever expanding. You mentioned, you know, remote work and work from home before. So I'm curious where are you investing your resources from a cyber security perspective? What can we count on from H P. E there >>Or you can count on continued leadership from hp as the world's most secure industry standard server portfolio. We provide an enhanced and holistic 360° view to security that begins in the manufacturing supply chain and concludes with a safeguarded end of life Decommissioning. And of course we've long set the bar for security with our work on silicon root of trust and we're extending that to the application tier. But in addition to the security customers that are building this modern Khyber or private cloud, including the integration of the Edge need other elements to they need an intelligent software defined control plane so that they can automate their compute fleets from all the way at the edge to the core. And while scale and automation enable efficiency, all private cloud infrastructures are competing with Web scale economics and that's why we're democratizing web scale technologies like Pensando to bring web scale economics and web scale architecture to the private cloud. Our partners are so important in helping us serve our customers needs. >>Yeah. I mean H. P. Is really up to its ecosystem game since the middle of last decade when when you guys reorganized and it became even more partner friendly. So maybe give us a preview of what's coming next in that regard from today's event. >>Well, they were really excited to have HP. Ceo, Antonio Neri speaking with Pat Gelsinger's from Intel and later lisa su from A. M. D. And later I'll have the chance to catch up with john Chambers, the founder and Ceo of J. C. Two ventures to discuss the state of the market today. >>Yeah, I'm jealous. You got, yeah, that's a good interviews coming up, NEal, thanks so much for joining us today on the virtual cube. You've really shared a lot of great insight how HP is is partner with customers. It's, it's always great to catch up with you. Hopefully we can do so face to face, you know, sooner rather than later. >>I look forward to that. And you know, no doubt our world has changed and we're here to help our customers and partners with the technology, the expertise and the economics they need For these digital transformations. And we're going to bring them unmatched workload optimization from the edge to exa scale with that 360° security with the intelligent automation. And we're gonna deliver it all as an as a service experience. We're really excited to be helping our customers accelerate what's next for their businesses. And it's been really great talking with you today about that day. Thanks for having me >>very welcome. It's been super Neil and I actually, you know, I had the opportunity to speak with some of your customers about their digital transformation and the role of that HPV plays there. So let's dive right in. >>Yeah. Mm.
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to excess scale with full security and automation all coming to you as a But here we are again, you know, although it's nice to be speaking to you again and I look forward to being able to do this in person. The enterprise to extra scale With 360° security and the What are some of the barriers that you see customers are working hard to overcome? And they have to find the way to match their investments with I call it the forced march to digital transformation and yet they also have to balance the investment capacity to accelerate the transformation, often by leveraging I would wonder if you could add some specifics. We can bring that expertise to bear to help amplify Let's let's talk about some of the other changes that customers see him in the cloud is obviously forced and really HP Greenlee because the cloud that comes to you What about the nature of transformations themselves? Especially one that now has to integrate the edge. 46 of the ceo say that productivity improved with the whole work from home in compute platforms that span from the ruggedized edge to the data center all the way You know, to deliver new apps, new services, you your microservices, P. S. Moral data fabric speeds the agility and access to data with a unified platform So the surface area, it's like the universe its its including the integration of the Edge need other elements to they need an intelligent decade when when you guys reorganized and it became even more partner friendly. to catch up with john Chambers, the founder and Ceo of J. C. Two ventures to discuss It's, it's always great to catch up with you. edge to exa scale with that 360° security with the intelligent It's been super Neil and I actually, you know, I had the opportunity to speak with some of your customers
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Sam Bobley, Ocrolus | CUBEconversation
>>okay. >>Just about a year ago, governments around the world forced shutdowns of their respective economies. We've never seen anything like it. Central banks took immediate action and effective monetary policy like none we've ever seen before. They dropped interest rates to near zero, injected a huge amount of cash into the system, and they fueled this liquidity boom to support those individuals and businesses that were in greatest need. Banks were overwhelmed with the volume of paperwork, for instance, small business P, P P loans and other things. Home buying boomed as mortgage rates hit all time lows for several weeks in the spring, it was complete chaos, but the tech industry stepped up and accommodated work from home. Cloud infrastructure was spun up instantly as access to data centers was really restricted, and Saas companies became a fundamental staple of not only keeping the lights on but helping customers thrive in the face of a pandemic. Automation became a >>mandate >>as humans, they couldn't possibly keep up with the tidal wave of demand, a document overload that was hitting the system. Now, one of the companies that was there to help financial firms in particular, get through the knothole was Oculus, a company that focuses on intelligent automation to deploy the power of machines to allow humans to focus on what they do best. Hello, everyone. And welcome to this cube conversation. My name is Dave Volonte, and we're profiling the most interesting SAS startups that are reimagining how we work. And with me is Sam Bobbly, the co founder and CEO of Oculus. Sam, welcome to the Cube. First time. >>Hey, Dave. Thanks so much for having me excited to have the conversation. >>Yeah, me too. So, listen, I know you've told the story of a zillion times, but I want a community here. How and why did you start the company >>for sure. So when I was in college, I was having a conversation with my dad. Uh, he was telling me about a meeting he just had with his elder law attorney. And the other law attorney was complaining about having to review hundreds or thousands of pages of financial documents for every long term care Medicaid application. When you apply for Medicaid coverage to enter a nursing home, you're required to submit 60 months of financials along with your application. And traditionally the elder law attorney or a nursing home would review those documents literally page by page, line by line to find high value transactions, transfers and other financial trends. And when I heard about this, it just it didn't make sense to me. I said, You know why? In this day and age isn't there? Why isn't there a technology solution that can ingest the documents and spit out a digital report replacing the cumbersome manual page by page review? So it really just started as a research project, trying to learn more about optical character recognition, which is the technology of transforming images into text. And, you know, as we kind of kicked around different products in the market, we we realized that there was an opportunity to build a unique platform that could ingest documents of any format quality and produce perfectly accurate results. And that was the genesis behind what ultimately became Oculus. >>You were a young man at this time. How old were you at that time? >>I was 22 when we started >>so fearless. And, uh, now my friend Eddie Mitchell started a company about 20 years ago. We hacked together a >>Dell >>system and this camera. It was all about the modern operating room in the future, and he showed it to a doctor and and it was just a prototype, she said. How much? He said 10 grand. She wrote a check right there. You have a similar story? How did you see the company? >>So we we we do have a pretty similar experience. You know, Our our concept was we want to get perfect results the customer every time. So if a customer sends us a clean bank statement from Chase or a blurry cell phone image with someone's thumb in the picture from a community bank in Maine, and it's rotated sideways or upside down like we want to give consistent, perfectly active results every single time. And you know, our our view was to completely solve the business problem. So the very first version of the software that we built, we had a rudimentary machine process to extract 60 or 70% of the data, and then we had a little tool built on the back end, where literally, me, myself and some of our early employees would clean up the data output, make sure it's perfect and then return When we couldn't submit, we'd returned to the customer accurate data that could be used at the time for for a Medicaid decision. And what happened is, while we were in our beta period, customers fell in love with the product. They felt it was magical and really just superior from an accuracy standpoint to anything they had ever tested before. And And one of our beta testers said to us, uh, where do I submit credit card information? So at that time, I turned to my colleagues and I said, I think we're ready to I think we're ready. Start charging for this thing and and roll it out for prime time. >>When I was researching the company, I learned that you leveraged. At least some of the idea came from the capture, and I never knew this, But the capture that we all hate came from Google where they write, they had at one point you could maybe you still can. You can go online. You can read books and have to It's just scanned. You can't even read the stuff half the time. So they were putting the capture in front of us, quite brilliant to try to solve for those those those white spaces that they didn't know. So So how did you learn from that? Was there an A P I that you could plug into Google's data set, or did you do your own? What was that? How did that all work? >>The the concept of humans in the loop is super powerful, right? So when we first started, we recognize that OCR and machine data capture couldn't do the job completely. OCR, generally speaking, can process financial documents with roughly 80 to 85% accuracy plus or minus machines, particularly struggled with semi structured and unstructured documents where the format is unpredictable as well as lower quality images. So pretty early on, we recognized that we needed human intervention in the process in order to achieve perfect accuracy every single time, and also to create training data to constantly teach our machine learning models to get smarter and drive additional automation. So, as I mentioned, the very first version was myself and other employees verifying the data on our own. But as we started thinking about how to scale this up and, you know, take on millions and millions of documents, we needed to, uh, you know, learn how to better parallelized task and really build the system for for efficiency and for scanning. So we we we learned about the Google Books Initiative and their ability to leverage capture technology and a distributed workforce to verify pieces of information that their systems couldn't automatically read from books. And we took a lot of those learnings into building our human in the loop infrastructure. And, you know, a way to think about our our product is it's the marriage of machines and humans that makes us unique. As much of the heavy lifting as we can do with machines we do. But whatever we can't do automatically, we slice into smaller tasks and intelligently route those tasks to humans to perform verification. We then layer in algorithmic checks to make sure our humans did the review correctly. The customer gets perfect results, and that same perfect output is used in a feedback loop to train our machine learning models to get smarter and smarter, which dynamically improves the product on an ongoing basis. And, you know, the folks at Google were we're onto this pretty early with the capture technology, and we were following in their footsteps with our own unique take on it, but specifically applying it to financial documents. >>I mean on the Cube. We know a lot about this because we were looking at transcriptions of video all the time, and it just keeps getting better and better and better in our systems. Get smarter and smarter, smarter. So we're sort of closing that gap between what humans can can do and machines can't. And I would expect that you're seeing the same thing. I mean, you think there's always going to be kind of humans in the loop in terms of the quality or is that gap going to be, you know, six nines in the, you know, near near term. >>I think it's gonna take a while to get rid of all the edge cases. You know, you mentioned the PPB program like we've been on the back end processing P p P loans for some of the leading players, like Cross River Bank, blue Vine, Square Capital and others. And you know, what we've seen during the ppb process is just a a wide variety of different documents and inputs, Uh, and a lot of difficult to read documents that are, you know, very challenging to automate. So I think we will, you know, incrementally continue to automate more and more of the process. But the value of having humans plus machines is much more powerful than just having machines alone or just having humans alone. And as it relates to the end customer, our our goal is to do as much of the mundane work as possible to free our customer up to do the more cerebral analysis. So in a lending context and and for the record, you know, our our biggest market opportunity is in the limbic space. Despite the fact that we started with medicating attorneys, we quickly pivoted and realized that our technology was super valuable to to lenders to help them automate the underwriting process. And our our thesis is, if we can take out all of the necessary evils like document review and allow underwriters to focus on the actual analysis of financial health, it's a win win win and creates a really fantastic, complementary relationship between us and our customers. >>Yes, I want to ask you about the pivot to financial services. You said you started well, you have the inspiration from elder law because Jimmy McGill. Okay. Saul Goodman breaking bad. You got started. An elder law. But then you made the pivot to financial services. Really pretty early on. You had really good, great product market fit, but you kind of went for it. I get early twenties. You know, you didn't have a big family at the time. I didn't have a lot of a lot of risks. So you went for it, right? But talk about that pivot because a lot of companies wouldn't do that. They get comfortable and just, you know, stay where they're at. But you made that >>call. It was a big risk, for sure. I mean, look, the product was working. We launched the paid version of our product in 2016. Pretty quickly were onboarding dozens of accountants and attorneys, you know, doing Medicaid work. Um, in mid to late 2016, we got introduced to a large small business lender in New York City called strategic funding Source. They've since renamed them their company Capital as the current name, but we met with the CEO and the head of product and showed them a demo of the technology. And they said, You know, quote unquote, we've been looking for this for years. We've been looking for something exactly like this for years, and we said back to them about how many pages of financial documents to review every single month. They pointed out to a bullpen of dozens of people sitting there tearing through bank statements, page by page, line by line. And they said, You know, it's hundreds of thousands. My eyes almost fell out of my head. I couldn't believe the volume, and it was much bigger than what the, you know, single accountants or attorneys were doing. Uh, so we made the strategic decision to pivot at that time and focus on FINTECH. Lenders continue to tailor the product and build additional features for the fintech lending space. And and, you know, lending in general had the perfect mix of short sale cycle and high average customer value that allowed a company like ours to scale and ramp our revenue quite quite quickly. Um, and then the other thing that happened is kind of as we were getting deeper and deeper into the space, the fintech space as a whole started growing massive. So we we kind of had the perfect storm of product market fit, plus the market growing that allowed us to really ramp significantly grow revenue. And, uh, you know, despite the fact that it was the risk it was, it was totally right. Decision to to focus the business on financial services >>much bigger Tam. And you could subjectively measure it by the size of the stack of papers. Um, how how does this relate to our p A. As you know, the R p. A hot space. You probably get this question a lot, and it sounds like there are some similarities with software bots. What's the similarity? What's the difference? >>Good question. It's It's totally a synergistic offering, right? So rrp a companies like UI path and automation anywhere they typically provide a horizontal toolkit to allow you know, banks and lenders to automate much of the mundane work like, for example, collecting information from emails or doing onboarding for a new employee. Or, you know, different types of tasks that a manual worker would have done but could be automated with relatively simple code. Um, what happens in our p a. Workflows is they get hung up on tasks that can't be completely automated. So, for example, a robot might be, uh, trying to complete an intend lending flow. But when a bank statement is submitted as part of that flow, the robot can't parse it. So what they do instead, is they routed to an underwriter who performs a manual analysis, keys information into a back office system that the bank is using and that information then gets handed back to a robot and continues the automation flow. What we do is we plug the gaps that used to be manual so a robot can pass US documents like bank statements or pay stubs or tax stops. We run our unique human in the loop process. We return structure Jason output directly to a robot, and it continues into the, you know, to the next step of the flow. And, you know, in in summary, the combination of robotic process automation and human in the loop, which is what we're doing, creates true and and automated flows rather than R P. A mite by itself might get you 80% of the way there. >>So do you have, like, software integrations or partnerships with those companies. How are you integrating with them? >>We do. We have software integrations with both UI path and automation anywhere in our core fintech lending business. R P A isn't as prevalent, but we are now expanding beyond fintech lenders into mortgage lending and traditional banks. And we're also expanding use cases, right? Like historically small business lending was the core of our business. More recently, we've moved into consumer auto mortgage, additional asset classes. And as we've gotten deeper with financial institutions, we've seen even more opportunity to partner and coexist with broader r p a player's >>Yeah, great. I mean, I was just staring at their s one. I guess it was came up Monday. Half over half a billion dollars in a are are they're actually cash flow positive as you iPad. So we're going to see we're going to see them hit the public market shortly. Um, hang on, folks. Uh, now it's okay. So this is you sell a sas, right? A SAS service. Even though there's that human in the loop, that's all part of the service. How do you How do you price? >>So usage based model. So we we kind of try to model are themselves nerve. A massive company is super powerful. We apply that same concept document processing, so it's a usage based model. Customers will pay us either per application per document or per page, and if they want to subscribe for, you know, one document per month or millions of documents per month, it's up to them. And we're able to flex up and flex down to meet the supply and demand. Um and that that concept that scalability and flexibility was particularly powerful in the P P P program, right? P P. P. Was kind of a very unique situation in the sense that lenders weren't able to predict the amount of loans they needed to process in normal lending. A small business lender can tell you Hey, we expect to get roughly 10,000 applications in the month of April with P P p. They could tell us, Hey, we're going to send out 200,000 marketing emails and we expect 30% of people might reply, but we really don't have any idea, right? So what happened is the big banks ended up hiring without exaggeration. Thousands of temporary employees to come in and review documents and kind of scrambled to do this in a work from home setting during the pandemic. Whereas Cross River, they took a technology first approach. They implemented our A P I in the back end, and it enabled them to instantly scale up their resources. And the result of that is Cross River ended up becoming a top three pp, a top three p p. P lender nationally, outperforming many of the big banks with a super efficient and fast document review process. Because we were able to help them on the back end with the automation. >>That's awesome. I love the pricing model you mentioned. You mentioned Amazon. Is that the cloud you use or >>we do Our Our product is hosted in AWS and we, you know, take a lot of learnings from them from a business model and and positioning point of view. >>Yeah, and and I'm thrilled to hear you say I mean, I think a lot of forward thinking startups are doing the consumption model. I mean, you certainly see that with companies like snowflake and data dog and stripe. I mean, I think that that SAS model of okay, we're gonna lock you into a one year, two year, three year term. Sorry if if you get acquired, you're stuck with some, you know, stranded licenses. That's your problem. I think that, you know, you really thought that out. Well, um, you mentioned you're sort of expanding your your your total available market now, looking at at new markets, what are some of the big trends that you want to ride over the coming decade as you scale your company? >>The biggest one for us is mortgage automation. You know, the kind of the one of fintech small business and consumer loans were optimized, and we went from a place where, uh, you know, you would deal with a loan officer and have an in person transaction to modern day. You can get a loan from small business. If you're a small business, you can get a loan from PayPal online effectively instantly. If you're a consumer, you can get a loan from Sofia or lending club super smooth digital experience and really revolutionized the way that you know, the market thinks about financial products. I think the next wave of that is mortgage, and that's what we're focused on. Uh, you know, mortgage is a massive market in the sense of thousands of lenders. The average application contains a couple 100 pages worth of financial documents, and the pain points of the back end of the mortgage process were really accentuated. During covid, right refi Valium went way up and mortgage lenders were forced to process that volume in a work from home setting. So what happened is mortgage lenders were struggling with the concept of sending personally identifiable financial information to underwriters who aren't working in an office there, working at home and, you know, kids running around a million things going on. And it's just more difficult to manage than ever before. Um, and you know, as as the the volume kind of normalized debate and mortgage lenders thought about their own future of automation, I think there was just clear recognition across the board that these these mortgage lenders needed to learn from some of the fintech and really focus on automating the back office peace and you know, to your point earlier about business model, what we think about is translating cost that used to be a fixed cost and turning them into a variable costs So now, instead of worrying about having to match supply and demand and hire or fire people, depending on the volume that's coming in on any given month, a mortgage lender can instantly flex up, reflects down and have a super fast, accurate process to handle the darks. Um, and you know, we're seeing just awesome traction in the market with that with the mortgage space and we're excited to push >>forward there. That's great. Thank you. I mean you, Sam. You describe the chaos that work from home. The financial industry is very overly officious. If you know it's very security conscious. How do you handle security? Maybe you could comment on that. How you think about that? >>Sure. I mean, we we take a compliance first approach. We built the product from the ground up with compliance in mind, knowing that we were selling into financial institutions. We have a sock to type one and type two certification, which is, you know, an industry standard. All of our our verification happens with the Oculus employees. So there's no third parties involved in our process whatsoever. Um and then lastly, But perhaps most importantly, our product in and of itself is innately, um, you know, innately drives compliance. So every data point that we process from a financial document, we not only return the data, we return an exact bounding box coordinates of where that data field appeared on the original source so that that audit trail lives with the loan throughout its life cycle. What we saw prior to Oculus is a mortgage would go through an underwriting process. They make a decision, and then that loan might be sold downstream and a diligence firm as to come in. And they don't have the resources to review all the loans. So they review 15% of the loan tape and then they say, you know, they give a rating and what we do is we proactively tackle that by creating a a perfect audit trail upon origination that can live with the loan throughout its life cycle and that that process and that traceability has been super valuable to our mortgage and banking partners. >>So you can ensure the providence there. So let me end just by talking about the company a little bit. So you incubated you nailed the product market fit the and you pivoted and re nailed the product market fit. And like a lot of companies in your position, I would imagine you saw your growth come from just having a great product. You know, initially, word gets around, but then you got a scale. Uh, maybe you could talk a little bit about how how you did that. How you're doing that. You know where your hiring how you're hiring, what your philosophy is on on scaling. >>Sure. Look, I think the key for us is just surrounding ourselves with the right people. You know, the right mentors, advisors and investors to help us really take the business to the next level. Uh, you know, we had no pride of authorship. We're building this and recognize that there are a lot of people out there who have been there, done that and can really guide us and show us the way. I know you had interviewed Marc Roberge on on the show previously. Formerly the C r. O of hubspot. Mark was someone that we you know, we we read his book and had taken sales advice from him from an early age. And over the over time, we got him a little bit more familiar with the company. And and ultimately, Mark and his partner, J Po at Stage two Capital ended up investing in Oculus and really helping us understand how to build the right go to market engine. Um, as the company got bigger, we took on investments from really reputable firms in the financial services space. So our largest investors are okay, H C F T fintech collective and and QED investors. Uh, you know, QED was was founded by Nigel Morris, who is the co founder of Capital One. They backed Sophia and Prosper and a lot of big fintech lenders and, you know, bringing the collective expertise from the fintech sector as well as you know, from a sales and go to market strategy. Point of view created the right mix of ingredients for us to to really ramp up significantly. Uh, we had an awesome run over the years. We were pretty recently recognized by magazine as the number one fastest growing fintech company. And, you know, as the momentum is increased and the market conditions have been very favorable to us, we we just want to double down and expand. Mortgage is the biggest area of opportunity for us. And what we're seeking from a hiring perspective is, you know, go to market sales account executive type resources on the mortgage side as well as you know, deeper products expertise both on the mortgage side as well as with machine learning our product. Because we have the human in the loop piece, we create massive amounts of training data on a daily basis. So it's a, I think, a really exciting place for cutting edge machine learning developers to come and and innovate. >>What can you share with our audience about, you know, your company, any metrics and whatever you're comfortable with, how much money you've raised on my head count? If you want to get some companies comfortable giving a r r others on. But what what do you What can you share with us? >>Sure. Um, you know, we we've raised about 50 million in venture capital. We have grown from one to north of 20 million in revenue in the in the last three years. So particularly since you know, 2017, 2018 is what we really started to see. The growth take off, uh, company size. We have about 800 to 900 employees globally. Now we have about 200 corporate employees who perform the, you know, the the day to day functions of Oculus. And then we have a long tail of about 600 or so verifiers who perform data verification and quality control work again, Speaking to the human in the loop piece of the bottle. Uh, we're, you know, we're focused on expanding beyond the fintech customer base, where we serve customers like plaid PayPal lending club so fi square, etcetera into the mortgage space and ultimately into the traditional banking space where you know, the problems, frankly, are extremely similar. Just on a much larger scale. >>San Bobbly. Congratulations on all the success. You You've got a great road ahead. I really appreciate you coming on the Cube, >>Dave. Thanks so much. It's been a great chat. Look forward to keeping in touch. >>Alright, Did our pleasure. Thank you for watching everybody. This is Dave Volonte for the Cube. We'll see you next time
SUMMARY :
and they fueled this liquidity boom to support those individuals and businesses that were in greatest need. the power of machines to allow humans to focus on what they do best. How and why did you start the company And, you know, as we kind of kicked around different products in the market, we we realized that there was How old were you at that time? We hacked together a How did you see the company? And you know, our our view was to completely solve the business problem. So So how did you learn from that? And, you know, the folks at Google were we're onto this pretty early with the capture technology, quality or is that gap going to be, you know, six nines in the, So in a lending context and and for the record, you know, our our biggest market opportunity is in you know, stay where they're at. I couldn't believe the volume, and it was much bigger than what the, you know, single accountants or attorneys Um, how how does this relate to our p A. As you know, And, you know, in in summary, the combination of robotic So do you have, like, software integrations or partnerships with those companies. And as we've gotten deeper with So this is you sell a sas, and if they want to subscribe for, you know, one document per month or millions of documents per month, I love the pricing model you mentioned. we do Our Our product is hosted in AWS and we, you know, take a lot of learnings from them from a Yeah, and and I'm thrilled to hear you say I mean, I think a lot of forward thinking startups are doing the learn from some of the fintech and really focus on automating the back office peace and you know, How do you handle security? is innately, um, you know, innately drives compliance. nailed the product market fit the and you pivoted and re nailed the product market fit. Mark was someone that we you know, we we read his book and had taken sales advice from him from an early age. What can you share with our audience about, you know, your company, any metrics and whatever you're comfortable with, So particularly since you know, 2017, 2018 is what we really started to see. I really appreciate you coming on the Cube, Look forward to keeping in touch. Thank you for watching everybody.
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Accelerating Your Data driven Journey The HPE Ezmeral Strategic Road Ahead | HPE Ezmeral Day 2021
>>Yeah. Okay. Now we're going to dig deeper into HP es moral and try to better understand how it's going to impact customers. And with me to do that are Robert Christensen is the vice president strategy in the office of the C, T. O. And Kumar Srikanth is the chief technology officer and head of software both, of course, with Hewlett Packard Enterprise. Gentlemen, welcome to the program. Thanks for coming on. >>Good seeing you. Thanks for having us. >>Always. Great. Great to see you guys. So, Esmeralda, kind of a interesting name. Catchy name. But tomorrow, what exactly is H P E s bureau? >>Yeah. It's indeed a catchy name. Our branding team done a fantastic job. I believe it's actually a derivation from Esmeralda. The Spanish for Emerald Berlin. Supposed to have some very mystical powers. Um, and they derived as moral from there, and we all actually, initially that we heard it was interesting. Um, so as well was our effort to take all the software, the platform tools that HB has and provide these modern operating platform to the customers and put it under one brand. It has a modern container platform. It has a persistent stories distribute the date of February. It has been foresight, as many of our customers similar, So it's the think of it as a container platform offering for modernization of the civilization of the customers. >>Yeah, it's an interesting to talk about platform, so it's not a lot of times people think product, but you're positioning it as a platform, so it has a broader implications. >>That's very true. So as the customers are thinking of this civilization, modernization containers and microservices, as you know there has become, has become the stable whole. So it's actually a container orchestration platform. It offers open source proven. It is as well as the persistence always bolted to >>so by the way, s moral, I think emerald in Spain, I think in the culture it also has immunity powers as well. So immunity >>from >>lock in and all those other terrible diseases. Maybe it helps us with covid to rob Robert. When you talk to customers, what problems do you probe for that that is immoral. Can can do a good job solving. >>Yeah, they That's a really great question because a lot of times they don't even know what it is that they're trying to solve for, other than just a very narrow use case. But the idea here is to give them a platform by which they can bridge both the public and private environment for what to do an application development specifically in the data side. So when they're looking to bring Container Ization, which originally got started on the public cloud and has moved its way, I should say, become popular in the public cloud and has moved its way on premises. Now Esmeralda really opens the door to three fundamental things. But how do I maintain an open architecture like you're referring to some low or oh, no lock in of my applications And there were two. How do I gain a data fabric or data consistency of accessing the data so I don't have to rewrite those applications when I do move them around and then, lastly, where everybody is heading down, the real value is in the AI ML initiatives that companies are are really bringing that value of their data and locking the data at where the data is being generated and stored. And so the is moral platform is those multiple pieces that I was talking about stacked together to deliver those solutions for the client. >>So come on, what's the How does it work? What's the sort of I p or the secret sauce behind it all? What makes HP different? >>Continuing our team of medical force around, uh, it's a moral platform for optimizing the data Indians who were close. I think I would say there are three unique characteristics of this platform. Number one is actually provides you both an ability to run stable and stateless were close under the same platform, and number two is as we were thinking about. Unlike analogues, covenant is open source. It actually produce you all open source government as well as an orchestration behind you. So you can actually you can provide this hybrid, um, thing that drivers was talking about. And then actually we built the work flows into it. For example, we're actually announced along with Esmeralda MLS, but on their customers can actually do the work flow management. Our own specifically did the work force. So the magic is if you want to see the secrets of is all the efforts that have been gone into some of the I p acquisitions that HBs the more years we should be. Blue Data bar in the nimble emphasize, all these pieces are coming together and providing a modern digitalization platform for the customers. >>So these pieces, they all have a little bit of a machine intelligence in them. Yeah, People used to think of a I as the sort of separate thing, having the same thing with containers, right? But now it's getting embedded in into the stack. What? What is the role of machine intelligence or machine learning in Edinburgh? >>I would take a step back and say, You know this very well. They're the customer's data amount of data that is being generated, and 95% or 98% of data is machine generated, and it has a serious amount of gravity, and it is sitting at the edge, and we were the only the only one that edge to the cloud data fabric that's built. So the number one is that we are bringing computer or a cloud to the data. They're taking the data to the cloud like if you go, it's a cloud like experience that provides the customer. Yeah, is not much value to us if we don't harness the data. So I said this in one of the blood. Of course, we have gone from collecting the data era to the finding insights into the data so that people have used all sorts of analysis that we are to find data is the new oil to the air and the data. And then now you're applications have to be modernized. And nobody wants to write an obligation in a non microservices fashion because you want to build the modernization. So if you bring these three things, I want to have a data. Gravity have lots of data. I had to build an area applications and I want to have an idea those three things I think we bring together to the customs. >>So, Robert, let's stay on customers from it. I mean, you know, I want to understand the business impact, the business case. I mean, why should all the you know, the cloud developers have all the fun? You mentioned that you're bridging the cloud and on Prem, uh, they talk about when you talk to customers and what they are seeing is the business impact. What's the real drivers for them. >>That's a great question because at the end of the day I think the reason survey that was that cost and performance is still the number one requirement for the real close. Second is agility, the speed of which they want to move. And so those two are the top of mind every time. But the thing we find in as moral, which is so impactful, is that nobody brings together the silicon, the hardware, the platform and all that stacked together work and combined, like as moral does with the platforms that we have and specifically, you know, when we start getting 90 92 93% utilization out of ai ml workloads on very expensive hardware, it really, really is a competitive advantage over a public cloud offering which does not offer those kind of services. And the cost models are so significantly different. So we do that by collapsing the stack. We take out as much intellectual property, give me, um, as much software pieces that are necessary. So we are closest to the silicon closest to the applications bring into the hardware itself, meaning that we can inter leave the applications, meaning that you can get to true multi tendency on a particular platform that allows you to deliver a cost optimized solution. So when you talk about the money side, absolutely. There's just nothing out there and then on the second side, which is agility. Um, one of the things that we know is today is that applications need to be built in pipelines. Right? This is something that has been established now for quite some time now. That's really making its way on premises. And what Kumar was talking about was, how do we modernize? How do we do that? Well, there's going to be something that you want to break into Microservices and containers. There's something you don't now the ones that they're going to do that they're gonna get that speed and motion etcetera out of the gate. And they can put that on premises, which is relatively new these days to the on premises world. So we think both will be the advantage. >>Okay, I want to unpack that a little bit. So the cost is clearly really 90 plus percent utilization. I mean, come on. You know, even even a pre virtualization. We know what it was like even with virtualization, you never really got that high. I mean, people would talk about it, but are you really able to sustain that in real world workloads? >>Yeah, I think when you I think when you when you make your exchangeable currency into small pieces, you can insert them into many areas. And we have one customer was running 18 containers on a single server and each of those containers, as you know, early days of data. You actually modernized what we consider we won containers of micro B. Um, so if you actually build these microservices and you have all anti affinity rules and you have rationing formulas all correctly, you can pack being part of these things extremely violent. We have seen this again. It's not a guarantee. It all depends on your application and your I mean, as an engineer, we want to always understand how this can be that sport. But it is a very modern utilization of the platform with the data and once you know where the data is, and then it becomes very easy to match those >>now. The other piece of the value proposition that I heard Robert is it's basically an integrated stack, so I don't have to cobble together a bunch of open source components. It's there. There's legal implications. There's obviously performance implications that I would imagine that resonates is particularly with the enterprise buyer, because they have the time to do all this integration. >>That's a very good point. So there is an interesting, uh, interesting question that enterprise they want to have an open source, so there is no lock in. But they also need help to implement and deploy and manage it because they don't have expertise. And we all know that Katie has actually brought that AP the past layer standardization. So what we have done is we've given the open source and you write to the covenant is happy, but at the same time orchestration, persistent stories, the data fabric, the ai algorithms, all of them are bolted into it. And on the top of that, it's available both as a licensed software and run on Prem. And the same software runs on the Green Lake so you can actually pay as you go and you don't we run it for them in in a collar or or in their own data center. >>Oh, good. I was one of my latter questions, so I can get this as a service paid by the drink. Essentially, I don't have to install a bunch of stuff on Prem and pay >>a perpetual license container at the service and the service in the last Discover. And now it's gone production. So both MLRS is available. You can run it on friends on the top of Admiral Container platform or you can run inside of the Green Bay. >>Robert, are there any specific use case patterns that you see emerging amongst customers? >>Yeah, absolutely. So there's a couple of them. So we have a really nice relationship that we see with any of the Splunk operators that were out there today. Right? So Splunk containerized their operator. That operator is the number one operator, for example, for Splunk, um, in the i t operation side or notifications as well as on the security operation side. So we found that that runs highly effective on top of his moral on top of our platforms that we just talked about what, uh, Kumar just talked about, but I want to also give a little bit of backgrounds to that same operator platform. The way that the Admiral platform has done is that we've been able to make highly active, active with a check availability at 95 nines for that same spark operator on premises on the kubernetes open source, which is, as far as I'm concerned. Very, very high end computer science work. You understand how difficult that is? Uh, that's number one. Number two, you'll see spark just a spark. Workloads as a whole. All right. Nobody handles spark workloads like we do. So we put a container around them, and we put them inside the pipeline of moving people through that basic, uh uh, ml ai pipeline of getting a model through its system through its train and then actually deployed to our MLS pipeline. This is a key fundamental for delivering value in the data space as well. And then, lastly, this is This is really important. When you think about the data fabric that we offer, um, the data fabric itself, it doesn't necessarily have to be bolted with the container platform to container at the actual data. Fabric itself can be deployed underneath a number of our for competitive platforms who don't handle data. Well, we know that we know that they don't handle it very well at all. And we get lots and lots of calls for people say, Hey, can you take your as Merrill data for every and solve my large scale, highly challenging data problems, we say yes. And then when you're ready for a real world full time but enterprise already, container platform would be happy to privilege. >>So you're saying if I'm inferring correctly, you're one of the values? Is your simplifying that whole data pipeline and the whole data science science project? Unintended, I guess. >>Okay, >>that's so so >>absolutely So where does the customer start? I mean, what what are the engagements like? Um, what's the starting point? >>It's being is probably one of the most trusted enterprise supplier for many, many years, and we have a phenomenal workforce of the both. The PowerPoint next is one of the leading world leading support organization. There are many places to start with. The right one is Obviously all these services are available on the green leg as we just start apart and they can start on a pay as you go basis. We have many customers that. Actually, some of the grandfather from the early days of pleaded and map are and they're already running, and they actually improvised on when, as they move into their next generation modernization, um, you can start with simple as metal container platform with persist with the story compared to this operation and can implement as as little as $10 and to start working. Um, and finally, there is a a big company like HP E. As an enterprise company defined next services. It's very easy for the customers to be able to get that support on the day to operation. >>Thank you for watching everybody's day volonte for the Cube. Keep it right there for more great content from Esmeralda. >>A mhm, okay.
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Christensen is the vice president strategy in the office of the C, T. O. And Kumar Srikanth is the chief technology Thanks for having us. Great to see you guys. It has been foresight, as many of our customers similar, So it's the think of Yeah, it's an interesting to talk about platform, so it's not a lot of times people think product, So as the customers are thinking of this civilization, so by the way, s moral, I think emerald in Spain, I think in the culture it also has immunity When you talk to customers, what problems do you probe for that that is immoral. And so the is moral platform is those multiple pieces that I was talking about stacked together So the magic is if you want to see the secrets of is all the efforts What is the role of machine intelligence They're taking the data to the cloud like if you go, it's a cloud like experience that I mean, you know, I want to understand the business impact, But the thing we find in as moral, which is so impactful, So the cost is clearly really 90 plus percent of the platform with the data and once you know where the data is, The other piece of the value proposition that I heard Robert is it's basically an integrated stack, on the Green Lake so you can actually pay as you go and you don't we by the drink. You can run it on friends on the top of Admiral Container platform or you can run inside of the the container platform to container at the actual data. data pipeline and the whole data science science project? It's being is probably one of the most trusted enterprise supplier for many, Thank you for watching everybody's day volonte for the Cube.
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Joni Klippert, StackHawk | theCUBE on Cloud 2021
>>from around the globe. It's the Cube presenting Cuban cloud brought to you by silicon angle. Welcome to the cubes event. Virtual event. Cuban Cloud. I'm John for your host. We're here talking to all the thought leaders getting all the stories around Cloud What's going on this year and next today, Tomorrow and the future. We gotta featured startup here. Jonah Clipper, who is the CEO and founder of Stack Hawks. Developing security software for developers to have them put security baked in from the beginning. Johnny, thanks for coming on and being featured. Start up here is part of our Cuban cloud. Thanks for joining. >>Thanks so much for having me, John. >>So one of our themes this year is obviously Cloud natives gone mainstream. The pandemic has shown that. You know, a lot of things have to be modern. Modern applications, the emerald all they talked about modern applications. Infrastructure is code. Reinvent, um is here. They're talking about the next gen enterprise. Their public cloud. Now you've got hybrid cloud. Now you've got multi cloud. But for developers, you just wanna be building security baked in and they don't care where the infrastructure is. So this is the big trend. Like to get your thoughts on that. But before we jump in, tell us about Stack Hawk What you guys do your founded in 2019. Tell us about your company and what Your mission is >>Awesome. Yeah, our mission is to put application security in the hands of software developers so that they can find and fix upset books before they deployed a production. And we do that through a dynamic application scanning capability. Uh, that's deployable via docker, so engineers can run it locally. They can run it in C I C. D. On every single PR or merge and find bugs in the process of delivering software rather than after it's been production. >>So everyone's talking about shift left, shift left for >>security. What does >>that mean? Uh, these days. And what if some of the hurdles that people are struggling with because all I hear is shift left shift left from, like I mean, what does What does that actually mean? Now, Can you take us through your >>view? Yes, and we use the phrase a lot, and I and I know it can feel a little confusing or overused. Probably. Um, When I think of shift left, I think of that Mobius that we all look at all of the time, Um, and how we deliver and, like, plan, write code, deliver software and then manage it. Monitor it right like that entire Dev ops workflow. And today, when we think about where security lives, it either is a blocker to deploying production. Or most commonly, it lives long after code has been deployed to production. And there's a security team constantly playing catch up, trying to ensure that the development team whose job is to deliver value to their customers quickly, right, deploy as fast as we can, as many great customer facing features, um there, then, looking at it months after software has been deployed and then hurrying and trying to assess where the bugs are. And, um, trying to get that information back to software developers so that they can fix those issues. Shifting left to me means software engineers are finding those bugs as their writing code or in the CIA CD pipeline long before code has been deployed to production. >>And so you guys attack that problem right there so they don't have to ship the code and then come back and fix it again. Or where we forgot what the hell is going on. That point in time some Q 18 gets it. Is that the kind of problem that that's out there? Is that the main pain point? >>Yeah, absolutely. I mean a lot of the way software, specifically software like ours and dynamic applications scanning works is a security team or a pen tester. Maybe, is assessing applications for security vulnerability these, um, veteran prod that's normally where these tools are run and they throw them back over the wall, you know, interrupting sprints and interrupting the developer workflow. So there's a ton of context switching, which is super expensive, and it's very disruptive to the business to not know about those issues before they're in prod. And they're also higher risk issues because they're in fraud s. So you have to be able to see a >>wrong flywheel. Basically, it's like you have a penetration test is okay. I want to do ship this app. Pen test comes back, okay? We gotta fix the bug, interrupts the cycle. They're not coding there in fire drill mode. And then it's a chaotic death spiral at that point, >>right? Or nothing gets done. God, how did >>you What was the vision? How did you get here? What? How did you start? The company's woke up one morning. Seven started a security company. And how did what was the journey? What got you here? >>Sure. Thanks. I've been building software for software engineers since 2010. So the first startup I worked for was very much about making it easy for software engineers to deploy and manage applications super efficiently on any cloud provider. And we did programmatic updates to those applications and could even move them from cloud to cloud. And so that was sort of cutting my teeth and technology and really understanding the developer experience. Then I was a VP of product at a company called Victor Ops. We were purchased by spunk in 2018. But that product was really about empowering software engineers to manage their own code in production. So instead of having a network operations center right who sat in front of screens and was waiting for something to go wrong and would then just end up dialing there, you know, just this middle man trying to dial to find the person who wrote the software so that they can fix it. We made that way more efficient and could just route issues to software engineers. And so that was a very dev ops focused company in terms of, um, improving meantime to know and meantime to resolve by putting up time in the hands of software engineers where it didn't used to live there before it lived in a more traditional operations type of role. But we deploy software way too quickly and way too frequently to production to assume that another human can just sit there and know how to fix it, because the problems aren't repeatable, right? So So I've been living in the space for a long time, and I would go to conferences and people would say, Well, I love for, you know, we have these digital transformation initiatives and I'm in the security team and I don't feel like I'm part of this. I don't know. I don't know how to insert myself in this process. And so I started doing a lot of research about, um, how we can shift this left. And I was actually doing some research about penetration testing at the time, Um, and found just a ton of opportunity, a ton of problems, right that exist with security and how we do it today. So I really think of this company as a Dev Ops first Company, and it just so happens to be that we're taking security, and we're making it, um, just part of the the application testing framework, right? We're testing for security bugs, just like we would test for any other kind of bucks. >>That's an awesome vision of other great great history there. And thanks for sharing that. I think one of the things that I think this ties into that we have been reporting aggressively on is the movement to Dev Stack Up, Dev, Ops Dev SEC Ops. And you know, just doing an interview with the guy who stood up space force and big space conversation and were essentially riffing on the idea that they have to get modern. It's government, but they got to do more commercial. They're using open source. But the key thing was everything. Software defined. And so, as you move into suffer defined, then they say we want security baked in from the beginning and This is the big kind of like sea level conversation. Bake it in from the beginning, but it's not that easy. And this is where I think it's interesting where you start to think, uh, Dev ops for security because security is broken. So this is a huge trend. It sounds easy to say it baked security in whether it's an i o T edge or multi cloud. There's >>a lot >>of work there. What should people understand when they hear that kind of platitude of? I just baked security and it's really easy. It's not. It's not trivial. What's your thoughts on >>that? It isn't trivial. And in my opinion, there aren't a lot of tools on the market that actually make that very easy. You know, there are some you've had sneak on this program and they're doing an excellent job, really speaking to the developer and being part of that modern software delivery workflow. Um, but because a lot of tools were built to run in production, it makes it really difficult to bake them in from the beginning. And so, you know, I think there are several goals here. One is you make the tooling work so that it works for the software engineer and their workflow. And and there's some different values that we have to consider when its foreign engineer versus when it's for a security person, right? Limit the noise, make it as easy as possible. Um, make sure that we only show the most critical things that are worth an engineer. Stopping what they're doing in terms of building business value and going back and fixing that bugs and then create a way to discuss in triage other issues later outside of the development. Workflow. So you really have to have a lot of empathy and understanding for how software is built and how software engineers behave, I think, in order to get this right. So it's not easy. Um, but we're here and other tools air here. Thio support companies in doing that. >>What's the competitive strategy for you guys going forward? Because there's a big sea change. Now I see an inflection point. Obviously, Cove it highlights. It's not the main reason, but Cloud native has proven it's now gone mainstream kubernetes. You're seeing the big movement there. You're seeing scale be a huge issue. Software defined operations are now being discussed. So I think it's It's a simple moment for this kind of solution. How are you guys going to compete? What's what's the winning strategy? How are you guys gonna compete to win? >>Yeah, so there's two pieces to that one is getting the technology right and making sure that it is a product that developers love. And we put a ton of effort into that because when a software engineer says, Hey, I'd love to use the security product, right? CSOs around the world are going to be like, Yes, please. Did a software engineer just ask me, You have the security product. Thank you, Right. We're here to make it so easy for them and get the tech right. And then the other piece, in terms of being competitive, is the business model. There were something like, I don't You would know better than me, but I think the data point I last saw was like 1300 venture backed security companies since 2012 focused on selling to see SOS and Fortune 2000 companies. It is a mess. It's so noisy, nobody can figure out what anybody actually does. What we have done is said no, we're going to take a modern business model approach to security. So you know, it's a SAS platform that makes it super easy for a software engineer or anybody on the team to try and buy the software. So 14 day trial. You don't have to talk to anybody if you don't want Thio Awesome support to make sure that people can get on boarded and with our on boarding flow, we've seen that our customers go from signing up to first successful scan of their platform or whatever app they chose to scan in a knave ridge of about 10 minutes. The fastest is eight, right? So it's about delivering value to our customers really quickly. And there aren't many companies insecurity on the market today. That do that? >>You know, you mentioned pen test earlier. I I hear that word. Nice shit. And, like, pen test penetration test, as it's called, um, Sock reports. I mean, these are things that are kind of like I got to do that again. I know these people are doing things that are gonna be automated, but one of the things that cloud native has proven as be killer app is integrations because when you build a modern app, it has to integrate with someone else. So there you need these kind of pen tests. You gotta have this kind of code review. And as code, um, is part of, say, a purpose built device where it's an I o T. Edge updates have toe happen. So you need mawr automation. You need more scale around both updating software to, ah, purpose built device or for integration. What's your thoughts in reaction to that? Because this is a riel software challenge from a customer standpoint, because there are too many tools out there and every see so that I talk to says, I just want to get rid of half the tools consolidate down around my clouds that I'm working through my environment and b'more developer oriented, not just purchasing stuff. So you have all this going on? What's your reaction to that? You got the you know, the integration and you've got the software updates on purpose built devices. >>Yeah, I mean, we I make a joke a little bit. That security land is like, you know, acronyms. Dio there are so many types of security that you could choose to implement. And they all have a home and different use cases that are certainly valuable toe organizations. Um, what we like to focus on and what we think is interesting and dynamic application scanning is because it's been hard toe automate dynamic application for especially for modern applications. I think a lot of companies have ignored theon pertuan ity Thio really invest in this capability and what's cool about dynamic. And you were mentioning pen testing. Is that because it's actively attacking your app? It when you get a successful test, it's like a It's like a successful negative test. It's that the test executed, which means that bug is present in your code. And so there's a lot less false positives than in other types of scanning or assessment technologies. Not to say there isn't a home for them. There's a lot of we could we could spend a whole hour kind of breaking down all the different types of bugs that the different tools confined. Um, but we think that if you want to get started developer first, you know there's a lot of great technologies. Pick a couple or one right pick stack hawk pick, sneak and just get started and put it in your developer workflow. So integrations are super important. Um, we have integrations with every C I C. D provider, making it easy to scan your code on every merge or release. And then we also have workflow integrations for software engineers associated with where they want to be doing work and how they want to be interrupted or told about an issue. So, you know, we're very early to market, but right out of the gate, we made sure that we had a slack integration so that scans are running. Or as we're finding new things, it's populating in a specific slack channel for those engineers who work on that part of the app and you're a integration right. If we find issues, we can quickly make tickets and route them and make sure that the right people are working on those issues. Eso That's how I think about sort of the integration piece and just getting started. It's like you can't tackle the whole like every accurate, um, at once like pick something that helps you get started and then continue to build out your program, as you have success. >>A lot of these tools can they get in the hands of developers, and then you kind of win their trust by having functionality. Uh, certainly a winning strategy we've seen. You know, Splunk, you mentioned where you worked for Data Dog and very other tools out there just get started easily. If it's good, it will be used. So I love that strategy. Question. I wanna ask you mentioned Dr earlier. Um, they got a real popular environment, but that speaks to the open source area. How do you see the role of open source playing with you guys? Is that gonna be part of your community outreach? Does the feed into the product? Could you share your vision on how stack hawks engaging and playing an open source? >>Yeah, absolutely. Um So when we started this company, my co founders and I, we sat down and said here, What are the problems? Okay, the world doesn't need a better scanner, right? If you walk the floor of, ah, security, uh, conference. It's like our tool finds a million things and someone else is. My tool finds a million and five things. Right, And that's how they're competing on value. It's really about making it easy to use and put in the pipeline. So we decided not to roll. Our own scanner were based on an open source capability called Zap the Set Attack Proxy. Uh, it is the most the world's most downloaded application scanner. And, uh, actually we just hired the founder of Zap to join the Stack Hawk team, and we're really excited to continue to invest in the open source community. There is a ton of opportunity to grow and sort of galvanize that community. And then the work that we do with our customers and the feedback that we get about the bugs we find if there, ah, false positive or this one's commonly risk accepted, we can go back to the community, which were already doing and saying, Hey, ditch this rule, Nobody likes it or we need to improve this test. Um, so it's a really nice relationship that we have, and we are looking forward to continuing to grow that >>great stuff. You guys are hot. Start of love. The software on security angle again def sec. Cox is gonna be It's gonna be really popular. Can you talk about some of the customer success is What's the What's the feedback from customers? Can you share some of the use cases that you guys are participating in where you're winning? You mentioned developers love it and try It can just give us a couple of use cases and examples. >>Yeah. Ah, few things. Um ah, lot of our customers are already selling on the notion. Like before we even went to G A right. They told all of their customers that they scan for security bugs with every single release. So in really critical, uh, industry is like fintech, right. It's really important that their customers trust that they're taking security seriously, which everybody says they dio. But they show it to their customers by saying here, every single deploy I can show you if there were any new security bugs released with that deploy. So that's really awesome. Other things We've heard our, uh, people being able to deploy really quickly thio the Salesforce marketplace, right? Like if they have toe have a scan to prove that that they can sell on Salesforce, they do that really rapidly. Eso all of that's going really well with our customers. >>How would I wanna How would I be a customer if I was interested in, um, using Stack Hawks say we have some software we wanna stand up, and, uh, it's super grade. And so Amazon Microsoft Marketplace Stairs Force They'll have requirements or say I want to do a deal with an integration they don't want. They want to make sure there's no nothing wrong with the code. This seems to be a common use case. How doe I if I was a customer, get involved or just download software? Um, what's the What's the procurement? What's the consumption side of it looked like, >>Yeah, you just go to Stockholm dot com and you create an account. If you'd like to get started that way so you can have a 14 day free trial. We have extremely extensive documentation, so it's really easy to get set up that way. You should have some familiarity. Or grab a software engineer who has familiarity with a couple of things. So one is how to use Docker, right? So Docker is, ah, deployment mechanism for the scanner. We do that so you can run it anywhere that you would like to, and we don't have to do things like pierce firewalls or other protective measures that you've instrumented on your production environment. You just run it, um, wherever you like in your system. So locally, C I c d So docker is an important thing to understand the way we configure our scanner is through a, um, a file. So if you are getting a scan today, either your security team is doing it or you have a pen tester doing it. Um, the whole like getting ready for that engagement takes a lot of time because the people who are running the tests don't know how the software was built. So the way we think about this is, just ask them. So you just fill out a Yamil file with parameters that tell the scanner what to dio tell it how to authenticate and not log out. Um, feed us an A p. I speak if you want, so weaken super efficiently, scan your app and you can be up and running really quickly, and then that's it. You can work with our team at any time if you need help, and then we have a really efficient procurement process >>in my experience some of the pen tests of firms out there, is it? It's like the house keeping seal of approval. You get it once and then you gotta go back again. Software change, new things come in. And it's like, Wait a minute, what's the new pen test? And then you to write a check or engaged to have enough meeting? I mean, this is the problem. I mean, too many meetings. Do you >>guys solve that problem? Do >>you solve that problem? >>We solve a piece of that problem. So I think you know, part of how I talk about our company is this idea that we live in a world where we deploy software every single day. Yet it seems reasonable that once a year or twice a year, we go get a pen test where human runs readily available, open source software on our product and gives us a like, quite literal. Pdf of issues on. It's like this is so intellectually dishonest, like we deploy all of the time. So here's the thing. Pen tests are important and everybody should do them. But that should not be the introduction to these issues that are also easy to automate and find in your system. So the way we think about how we work with pen testers is, um, run, stack hawk or zapped right in an automated fashion on your system, and then give that, give the configuration and give the most recent results to your pen tester and say, Go find the hard stuff. You shouldn't be cutting checks for $30,000 to a pen tester or something that you could easily meet in your flare up. Klein. You could write the checks for finding finding the hard stuff that's much more difficult to automate. >>I totally agree. Final question. Business model Once I get in, is it a service software and services? A monthly fee? How do you guys make money? >>Yep, it is software as a service, it is. A monthly fee were early to market. So I'm not going to pretend that we have perfectly cracked the pricing. Um, but the way that we think about this is this is a team product for software engineers and for, you know, informed constituents, right? You want a product person in the product. You want a security person in the product? Um, and we also want to incent you to scan your APS And the most modern fashion, which is scanning the smallest amount of http that lives in your app, like in a micro services architecture because it makes a lot easier, is easy to isolate the problems where they live and to fix those issues really quickly. So we bundle team and for a UPS and then we scale within, uh, companies as they add more team. So pen users. 10 APS is 3 99 a month. And as you add software engineers and more applications, we scale within your company that way. >>Awesome. So if you're successful, you pay more, but doesn't matter. You already succeeded, and that's the benefit of by As you go Great stuff. Final question. One more thing. Your vision of the future. What are the biggest challenges you see in the next 24 months? Plus beyond, um, that you're trying to attack? That's a preferred future that you see evolving. What's the vision? >>Yeah, you've touched on this a couple of times in this interview with uh being remote, and the way that we need to build software already has been modernizing, and I feel like every company has a digital transformation initiative, but it has toe happen faster. And along with that, we have to figure out how Thio protect and secure these Moderna Gail. The most important thing that we do the hearts and minds of our support engineers and make it really easy for them to use security capabilities and then continue to growth in the organization. And that's not an easy thing tied off. It's easy change, a different way of being security. But I think we have to get their, uh, in order to prepare the security, uh, in these rapidly deployed and developed applications that our customers expect. >>Awesome. Jodi Clippers, CEO and founder of Stack Hawk. Thank you for coming on. I really appreciate it. Thanks for spending the time featured Startup is part of our Cuban cloud. I'm Sean for your host with silicon angle to Cube. Thanks for watching
SUMMARY :
cloud brought to you by silicon angle. But before we jump in, tell us about Stack Hawk What you guys do your founded in 2019. And we do that through a dynamic application scanning capability. What does Can you take us through your look at all of the time, Um, and how we deliver and, And so you guys attack that problem right there so they don't have to ship the code and then come back I mean a lot of the way software, specifically software like ours and Basically, it's like you have a penetration test is okay. right? How did you get here? as a Dev Ops first Company, and it just so happens to be that we're taking security, And this is where I think it's interesting where you start to think, uh, Dev ops for security because What's your thoughts on And so, you know, What's the competitive strategy for you guys going forward? So you know, it's a SAS platform that You got the you know, the integration and you've got the software Um, but we think that if you want to get started developer first, A lot of these tools can they get in the hands of developers, and then you kind of win their trust by having Um, so it's a really nice relationship that we have, and we are looking forward to continuing Can you share some of the use cases that you guys are participating by saying here, every single deploy I can show you if there were any new security bugs released What's the consumption side of it looked like, So the way we think about this is, just ask them. And then you to write a check or engaged to have enough So the way we think about how we work with pen testers is, How do you guys make money? Um, and we also want to incent you to scan your APS What are the biggest challenges you see in the next 24 months? being remote, and the way that we need to build software already has been Thank you for coming on.
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