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BJ Gardner and David Zeigenfuss, PLM | VMware Cloud on AWS Update


 

>> From the cube studios in Palo Alto in Boston, connecting with thought leaders all around the world. This is a cube conversation. >> Hi, I'm Stu Miniman And we're digging in with the VMware cloud on AWS update, of course, an important solution set we've been talking about for a couple of years. If you see we've done interviews with some of the VMware and AWS executives, we did a deep dive on some of the technology. And now we get to dig in with one of the users of the technology. Of course, the executive talk about the proof of how many customers have been using it. So happy to welcome to the program I have two guests from PLM insurance. First, sitting right next to me on the screen is BJ Gardner, who's the lead system architect. Next to him is Dave Zeigenfuss, who is a senior systems architect. BJ and Dave, thanks so much for joining us. >> Thank you for having us. >> Thank you for having us. All right. So BJ, just for our audience that does not know, Pennsylvania Lumberman's Mutual Insurance Company, give us a little bit about The company 125 years in history, obvious with the name, it's in the insurance business but help us understand, you know, what your business is and what you and Dave do for the organization. >> Sure, so Pennsylvania Lumbermens has been around for under 125 years, we just celebrated the 100 and 25th year. This February Actually, we are commercial insurance company, property Casualty. And we specialize in the wood niche. So we cover everything from lumber yards to auto fleets that have anything to do with moving wood selling wood. So we're pretty niche, we're pretty specific in our brand. And we're a mutual insurer. We're one of the few if not only one, left that does not offer insurance on mutual space >> Alright, and BJ give us a little bit of snapshot from an IT standpoint, obviously, you're using VMware, cause you're here, talk to us about what data centers and cloud usage looks like for PLM. >> So I've been without Pennsylvania Lumbermens for about 15 years, and we were operating in full on-prem with bare metal servers, and 2007-2008, We started with the VMware product set. And since then we've been moving little by little to the cloud. We have many of our core applications are sitting with vendors in the cloud as of right now, we have a small data center in Philadelphia that is an on prem. And then we have, which we'll talk about, why have cloud data center as a service model with the VMware Certified cloud partner called Faction. And then we also now have our disaster recovery as a cloud product. >> Excellent. Since we're talking about the the VMware cloud on AWS bring us inside a little bit,that DR In this case that you're using. That hybrid model, help tease that out. BJ will Start with you. And I'm sure, Dave will have some color to give after you share. >> Sure, I mean, you know, when you're talking about disaster recovery in general, the need to maintain business continuity, while keeping a lean IT staff and with no extended downtime and data loss is just... it's not an option. You can't afford to be down, you can't afford to lose data. So having a cloud service now for disaster recovery, or at least the concept of that helps us more IT shop, in the way of resources that we just don't have on hand on staff. So, that's, pretty much the biggest goal for us, is to maintain business continuity and you know, with our lean staff at the same time. >> Echoing BJ a bit, having an on prem solution and really, to BJ'S point about our lean staff, It made things quite cumbersome for us with maintaining backups replications and such. There was a lot involved. It was very time consuming. So the handoff to utilizing VMware cloud for our disaster purposes really, really helped that benefit our team as a whole. >> All right, you mentioned your partner on this solution is Faction. Help us understand how you made the decision to go down this path. >> So I can give you a quick... a quick rundown here how Faction came to be. so we're located our corporate is in fellow Philadelphia PA. We occupied two floors in an office building. Our data center was on the one floor we were consolidating. And we moved up to just one single floor. So we basically lost the footprint of the data center. So I went out hunting for co location type vendor, and hooked up with Faction. And yeah, so we've been with Faction for since 2015. We've had their, I call it kind of co lo, plus data centers as a service model, since then, since 2015. And we've been with them doing different initiatives here and there over the years and disaster recovery as a service is now one of them. >> Great, Dave, you've maybe supply a little more color on that piece. >> Yeah, sure. Yeah, the use of VMware cloud with Site Recovery Manager. Again, from a technical standpoint, it was second to none as far as the flexibility it gave us to grow our workloads, to maintain them. Recovery point objective was what really sold me. It allowed us to get extremely granular from a business continuity perspective. And, yeah, I'm a fan. I just, I really like VMware cloud with SRM. It's proven to be top notch. >> Yeah, maybe follow up on that, you've been a VMware customer for a number of years, you're familiar with the tooling, and everything else like that. So, how long did a solution like this take to roll out? >> So, I will guess so, absolutely, there was a good portion from when we started, so you have to kind of put it in perspective, because we had a data center in Atlanta, Georgia, that was our data recovery site with action. So we had a two fold project, we were going into a contract year, a renewal year. And Faction pitched, the AWS VMware on AWS service. So we were decommissioning a data center at the same time as we were rolling it out. So I'll just give you the quick timeline. So November of 2018, was basically the contract negotiations. We finalized everything kind of in February of 2019. As far as kicking off the call on how we are going to actually do the project. Work began around April of 2019. Faction went ahead and set up the AWS DDC environment in early May. Faction builds out the environment for the rest of May. June, we did some non disruptive load testing on the environment in AWS. We set up the replication recovery group build out throughout the summer of 2019. And then we had a full sign off in September 17th actually 2019 so I'll just kind of highlight though, in that process, that it took roughly about four months to do the full build out testing and the Atlanta data center decommissioning. >> Okay, and PJ after having done this, we've now got DR as a Service, what are the hero numbers? Have you reduced their cost savings loannes, How do you report up? The success or result of what you've done so far? >> Yeah, so speaking to that, so when we did the contract negotiation, in November of 2018, one of the things we realized when we were pitching the cloud disaster recovery as a service model, we saw roughly about a 20% annual savings in moving to this cloud service. So, a breakdown of what kind of the savings is it's pretty much in Atlanta we have some resource costs because we're running basically on a pillow type environment with with Baxter. and then we had a circuitry call, so we had a point to point line that would run out to, actually to New Jersey and then down to Atlanta. So we that cost as well. So we saved basically, we ripped out the point circuit And we got we offloaded some resource costs. So, like I said about a roughly about a 20% cost savings. >> Alright, so that that's some of the hard figures. Dave, bring us inside a little bit operationally, obviously, there's got to be a little bit of changes to how you manage things, automation is, has been hot for years, but even more so when you talk about cloud environments. So, how is this deployment, changed what the workers are doing and beyond that? >> Well, it's it's simplified things quite a bit, just by the partnership with Faction and in conjunction with VMware cloud for our disaster recovery solution, It's offered many benefits. For one, we had a primary engineer who left the company, we found some benefits to not having to fill that staff resource, so that that was also a positive from a money aspect. But as far as the day to day functioning where we go about doing things up, it really took things off my plate, off the rest of the teams plate And just really, really gave us a peace of mind as it pertains to our, our infrastructure and our data being secured. >> All right, well, I want to give you both the final word. What learnings do you have out of this? Any best practices you'd share? Or there's also some updates coming, taking VMware being able to take advantage of the latest bare metal offering from Amazon? I'll let you choose maybe BJ, we'll start with you and wrap with you Dave as to that those final words that you would share with your peers >> Yeah, I'll certainly start it off. I mean, coming from my perspective as kind of the manager of the team here, our goal as a company, our goal as an IT shop, our goal as an operations team, is to ensure the company's technology needs, will be met after, in the event of a disaster. And that is the key. You want to protect itself, you want to protect the data, you want to protect the customers. So, in the case of the cloud for us, is maintaining business continuity while reducing physical footprint and keeping the IT operations lean, like I had stated before. And one of the most important things and this is not just about disaster recovery, but establishing good partnerships with vendors, is absolutely imperative. Because I don't care how big your shop is, and again, we're on the small side, obviously, but you can't you can't do it alone. So you need really good strong partnerships and good relationships with them. >> And I would say, make sure you are Identify your critical business workloads. Know your environment, absolutely. It's imperative. Get it, you have to plan efficiently. And by all means, test, test test test, you can't test the solution enough. So that's really about all I have. >> All right, Well, David, BJ, thank you so much for joining us appreciate you sharing your your journey along and wish you the best of luck with the solution going forward. >> Thank you. >> Thank you for having us. >> And thank you for joining us for this update VMware cloud on AWS, be sure to check out the cube.net for all the rest of the coverage we have both in the VMware and AWS ecosystems. I'm Stu Miniman And thank you as always for watching the cube. (upbeat music)

Published Date : Jul 15 2020

SUMMARY :

From the cube studios And now we get to dig in with one and what you and Dave that have anything to do with Alright, and BJ give us and we were operating in full on-prem to give after you share. the need to maintain business continuity, So the handoff to utilizing VMware cloud All right, you mentioned your partner footprint of the data center. more color on that piece. as far as the flexibility it like this take to roll out? And Faction pitched, the one of the things we realized to how you manage things, automation is, But as far as the day to day functioning we'll start with you And that is the key. make sure you are Identify your and wish you the best of luck with the for all the rest of the coverage we have

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Chris Gardner, Forrester | AnsibleFest 2019


 

>>Live from Atlanta, Georgia. It's the cube covering Ansible Fest 2019. Brought to you by red hat. >>Welcome back everyone. Live cube coverage here in Atlanta. This is the keeps coverage of Ansible Fest. This is red hat and suppose two days of live coverage. They had a contributor day yesterday before the conference all being covered by the cube. I'm John furrier, Miko Stu Miniman. Our next guest is Chris Gardner, principal analyst at Forrester Gardner. Welcome to the cube. Thanks. See you. Good to talk to you. Hey, analyzing the players in this space is really challenging. You've got a new wave that came out a few months ago. Yep. Laying it all out. Um, certainly the world changed. You go back eight years. Cloud was just hitting the scene on premises. Look good. Data's Stanley was rocking. You're doing network management, you're doing some configuration management now you've got observability, you've got automation apps. The world's changing big time. What's your take? What's this? I mean, it's interesting because the prior versions of that wave focused entirely on configuration management and the feedback I got was, um, the world's a lot bigger than that, right? >>And we have to talk about platforms and you heard it this morning during the keynote about Redhat moving towards an platform and automation platform. And my definition of a platform is things like configuration management, hybrid cloud management, all the various types of automation and orchestration need to be there. But you also need compliance. You need governance, you need the ability to hopefully make a call as to what is actually occurring and have some intelligence behind the automation. And obviously you need the integrations. It's not a situation to simply have as many people as possible, although that's nice as many vendors you work with. But to have real relationships, if you have Microsoft working on automation code with you, if, if Amazon working on automation code with you, that makes a true platform, right? It's John said earlier day a platform needs to be an enabler. And we've even said, if you can't build on top of this, like the collections that Ansible announced here seems like it might fit under that definition. >>And there's an old joke that everything becomes a platform eventually. Right? Um, but I think that, I think it bears it. There's some merit in this one. Um, the other thing is that I'm seeing a lot of folks want a holistic automation solution and the only way you're going to do that is to have a platform that you can build things on top of it and connect the pieces and provide the proper governance. So, um, I'm mostly in agreement with the definition that's been described here and I think you could tackle different ways. Uh, and all the vendors in the space are certainly doing that. Definitely platform thinking is different. Um, you know, the easy way to look at it and the old big data space do, we'll use to cover that was a tool versus a platform, you know, tools, a hammer, everything looks like a nail, did great things. >>One thing great are a few things. Good platform is more of a systems thinking. Yes, yes. And you've got glue layers, you've got data. So it's really more of that systems thinking that separates the winners from the losers, at least at our opinion. Absolutely. I mean, when you looked at who was the leaders in my wave, it wasn't the basics of automating or orchestration and configuration management, they all had that. The, the ones that were winners, where can I do compliance in a different way? Can I actually have people come into the system that aren't it people and make a call on some of these things? Can I apply AI and machine learning to some of this? Can I make some recommendations and hopefully direct people in the right, you know, the way they should go. And you know, the folks that were able to do that Rose to the top, the folks that weren't were average and below. >>Yeah. Chris bring us inside to some of the competitive dynamics here. We understand that, you know, there's a lot of open source here and therefore everybody holds hands and things can buy y'all. But, you know, there's, you know, product tools, there's the public clouds and what they do. And then, you know, Ansible, uh, you know, fit, fits in a lot of different places. Yeah. It's, it's a bit ironic because, uh, you know, this is one of those waves where, and it's very rare that everyone was sitting was, was at least preaching kumbaya. They are all saying that they were friendly with one another. And, and, uh, quite frankly, I, I tend to believe it. We're in a situation right now where you can't get by, especially in a hybrid cloud world. We are going to have resources that live in multiple, you know, AWS and Azure, but also on premises and at the edge. You need to have these integrations. You need to be able to talk to one another. So, um, that said, there's certainly a lot of coopertition going on where people are saying, if I can integrate these tools better, if I could provide a better governance layer, if I can again, hand things off to the enterprise in a way that has not been handed off before that I don't even have to go through an INO group and infrastructure operations group, those are willing, could be the ones that truly succeed in this space. >>Software defined data center, software defined cloud, everything software defined. Yep. These abstraction layers, data and software. We had a guest on the cube a week ago saying, data's the new software I get. Okay, it's nice, nice gimmick. But if you think about it, this abstraction layer, it's like a control plan. Everyone wants to go for these control planes, which is a feature of platform. As this automation platform becomes ultimately the AI platform, how do you see it evolving and expanding? Because you see organic growth, you see certainly key positions, 6 million stars on get hub. I mean, it's running the plumbing. I mean, come on. Like it's not, it's not like it's just some corner case. >>Yeah, yeah. Infrastructure. Yeah. I mean, you know, in an idealistic way, I'd like to see, we us resolve on singular holistic platforms for enterprises. The reality is that's not not the way you can do it today. What I do try to help clients do is at least rationalize their portfolio. If they have 12 different automation products they're running, chances are that's not the best idea. Um, I've actually had situations where someone will say to me, um, I'm running Ansible in one portion of my organization and chef and another, and I say, well, it's some, they do similar things. And the reason for it was because they were stood up organically. Each group kind of figured out the things along the way. And I have to at least guide them and say, you know, where are the similarities? Where can you potentially, you know, move some stuff from there. >>But the cloud discussion, you know, always debate upon, you know, multi-cloud, Seoul cloud, ultimately the workload needs something underneath. And I think workload definition dictates kind of what might be underneath. So it might be okay to have a couple, you know, automation platforms or it could be great to have one. I mean, this is really the eye of the beholder. Beauty is in the eye of the, >>yeah, in my view. Um, I, I've been an analyst for a couple of years before that I was doing this stuff for a living. I have the worst scars and in my view it's, it's not even a matter of how many tools you use. It's putting the workload where it belongs, that matters. And if you could do that with fewer tools, obviously that from an operational level that makes life a lot easier. Um, but I'm not going to say to somebody, you know, completely dismantle your entire automation and orchestration workflow just because I think this one tool is better. Let's talk about how we can, >>that's the worst case scenario because if you have to dictate workloads based on what tool you have, that's supposed to be the other way around. >>Yes. Setting up a nuclear bomb in the data center or in the cloud has never worked. Note to self, don't do that. Yes. One of the interesting conversations we've already been having here at the show is that the tool is actually helping to drive some of the cultural change in collaboration. So, you know, what are you finding in your research? How is that, you know, kind of this admin role and you know, to the cloud in applications. You know, it's interesting. I, we continued to beat the drum that these folks are becoming developers, but we've been beating that drum for a decade now and quite frankly we had to continue to beat it. But what I think is more even more interesting is we have groups starting to pop up in our research that are separate from it, that focus on automation in a way that no one has done before. >>Some we went into it saying, Oh, that's a center of excellence, right? And the teams that we talked to said no, do not call us a center of excellence. A two reasons. One is that term is tainted. Uh, but secondly, we're not one team. There's multiple automation teams. So we're actually starting to call these groups, strike teams that come in and standardize and say, okay, I have a lead architect, a lead robot architects say it's around infrastructure automation. I'm going to standardize across the board and when other groups need to come on board, I have the principles already laid out. I have the, the process is already laid out. I come in, I accelerate that, I set it up and then I back off. I don't own the process and I'm not part of it either. I T's got operations of its own that's got to worry about. >>I'm going between the two and when we talk to especially the fortune 100 they are setting these groups up. Now when I ask them what do you called them? They don't have a name yet, so I think strike team sounds sexy, but ultimately this is not like a, a section of it that's been severed off and becomes this role. It's a completely true committee. I yeah. Oh yeah. I want our falls slow process. Exactly, exactly. And it better fits what the role is. The role is to come in, nail the process, get it automated and the get out. It's not to stand there and be a standards body forever. Um, there's certainly some groups that in some types of automation like RPA where you want them to stick around because you may want them to manage the bots. There's a whole role called bot masters, which is specifically for that role. But most of the time you want them to be part of that process and then you know, hand it back off. >>Yeah. We've seen some interesting patterns. I want to get your thoughts on this as a little bit of a non-sequitur. Want to bring it in, but in the security space you seeing a CSOs chief information security officers building their own stacks internally, they're picking one cloud, Amazon or Azure and they're building all in maybe some hedge with some people working on some backup cloud, but they don't want to fork their talent all on one cloud and they cause they need to be bad ass responsive strike teams for security pressure. Yeah, yeah, absolutely. Not as critical with the security side with automation, but certainly relevance. Is that the same thing going on here with this development Durham, this being continued to be as much more around core competency and building internally stacks and building some standards? >>I I, I think it is, and you know what's interesting too is that I work with, I'm on the infrastructure and operations team at Forrester. I talk with INO people all day long, but I work alongside the security team and I said to them a couple of years ago, um, you guys are going to have to get your hands dirty with this stuff that I cover. You guys have to know infrastructure, automation, API APIs, you need to know how to code these things. And I said, are you comfortable telling your sec ops folks, your clients that they go, no, by all means they have to be part of this. So they're okay with them talking to me, talking to them and saying that you need to be part of the infrastructure design process and need to be part of this decision making process. Right. Um, which is different than their sec ops role used to be. So my point is, is that these worlds are not that dissimilar as some people might think they are sec dev ops or whatever we're going to call it. We keep tacking letters onto this thing, uhm, is a actual discipline. And it is a reality in most organizations I talked to the people should. >>So a system has all of these things as data across the system. They have high blood subsystem you're talking about and yet it's this holistic system security and data. Yeah. >>And we're in a world now, especially around things like edge computing where data gravity matters. So all these pieces, you know, it's, if you go back to the old school kind of computer science folks from the, you know, 50 sixties and seventies, they're like, this is not new. We've been thinking systems thinking for awhile, but I think we're finally at a place where we're actually now breaking down the silos that we've been championing to do. So for, >>I got to ask you the analyst questions since you're watching the landscape. Sue wants to jump in, but I want to get this out. So observability became a category at a network management. I mean, network management was like this boring kind of plotting along white space. I mean, super important. People need to do network management. Then in comes the cloud becomes a data problem. Whether it's observability you get to microservices, you got security signal FX, all these companies going public. Um, well a lot of M and a activities basically large segment, a lot of frothiness automation feels like it's growing to be big. Is there startup opportunities here? If, if platforms are becoming being a combination of things, is there room for startups and if so, what would you say? Um, those stars would look like? There are, I think >>what we're seeing is, and it speaks to the observer, observe the word you just said. Um, uh, I can, I can S I can know what it is, but I can't say it. Um, we're seeing the APM vendors move down the stack. We're seeing the infrastructure monitoring vendors move up the stack and in the middle we're seeing them both try to automate the same things. Um, you cannot pull off some of the infrastructure as code automation that we need to pull off without observability, but you can't get that observability unless you are able to pull it from the top of the stack. Um, what we're going to see is consolidation and we're already starting to see it, um, where you're gonna have different groups come together and say, why did have to tools to do this? Why not do one? Um, the reason why you do multiple tools today is because no one is truly strong at the entire stack. >>A lot of the folks that are going down the stack to say that they're not quite infrastructure automation players just yet, but watch this space, they will eventually, Oh, this change happening. Absolutely. Startups getting funded. Do you think there's opportunity to take some territory down? If there's any opportunity? And, and I'm, I'm pushing for this, it's in the AI AI ops space when it comes to these things is actually going beyond where we stand today. So I want to be clear that, um, AI ops is a great concept. The reality of is that we're still a ways away from being practical. I'd like to see not just recommendations from these tools that the startups are providing, but actually trust in them to make the changes necessary. So Chris, it sounds like the antibody automation platform announcement today fits with what you've been saying for the last couple of years. >>So the question is, what's next? Where does the Ansible need to mature and expand and you know, what, what are users asking for that Ansible is not doing today? So a couple things. Um, they did okay, but not fantastic at infrastructure modeling. Ansible. They did okay, but not amazing at what we call comprehension, which is making a call as to, you know, using AI and machine learning to make a call and what the infrastructure layers should look like. To be Frank, no one did really well in that one. So not too, not too bad on that. Um, and the other thing is they need to improve slightly. Is there integration story? They actually have a really good one. You see all the folks that are here. Um, it's just, it's, it's just as hair away from being the best. They're not quite there yet. So, and when, again, when I mean integrations, I don't mean having a laundry list of vendors you work with. >>I mean actually working with them to build code and you saw that this morning where there's the best, uh, right now surprisingly is VMware, but for you Morris built that relationship off for a long time. Um, they work right alongside Microsoft and Google and all these folks to build the code together in the industry. Uh, I think the darkest source of all is probably, and it remains to be seen if they can actually do something that is HashiCorp. Um, Terraform is an interesting player in this entire space. I actually included them in our wave on infrastructure automation platforms and you can argue is it even an automation platform? Quite frankly. Um, uh, I think HashiCorp itself was trying to figure out exactly what it is. But the bottom line is it's got tremendous Mindshare and it works well. So I think that if you watch, if you see the strategy going forward and look at, you know, what they're putting their investments into, they could become a really serious damaging player in this space. Chris Gardner, thanks for coming on the cube, sharing your insights and your research at Forrester forced wave. Check it out. Just came out a couple of months ago. Uh, infrastructure automation platforms. Q three 2019. Chris Gardner, the author here in the Q, breaking it down. I'm John furrier. There's too many men. We'll be back with more after the short break. Thank you.

Published Date : Sep 24 2019

SUMMARY :

Brought to you by red hat. I mean, it's interesting because the prior versions of that wave focused entirely on And we have to talk about platforms and you heard it this morning during the keynote about Redhat Um, you know, the easy way to look at it and the old people in the right, you know, the way they should go. And then, you know, Ansible, uh, you know, fit, fits in a lot of different places. the AI platform, how do you see it evolving and expanding? And I have to at least guide them and say, you know, where are the similarities? But the cloud discussion, you know, always debate upon, you know, multi-cloud, Seoul cloud, ultimately the workload Um, but I'm not going to say to somebody, you know, completely dismantle your entire automation that's the worst case scenario because if you have to dictate workloads based on what tool you have, So, you know, what are you finding in your research? And the teams that we talked to said no, But most of the time you want them to be part of that process and then you know, hand it back off. but in the security space you seeing a CSOs chief information security officers building team and I said to them a couple of years ago, um, you guys are going to have to get your hands dirty with So a system has all of these things as data across the system. So all these pieces, you know, it's, if you go back to the old school kind I got to ask you the analyst questions since you're watching the landscape. the reason why you do multiple tools today is because no one is truly strong at the entire stack. A lot of the folks that are going down the stack to say that they're not quite infrastructure automation players just yet, Um, and the other thing is they need to improve slightly. I mean actually working with them to build code and you saw that this morning where there's the best, uh,

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Dana Gardner, Interarbor Solutions | Citrix Synergy 2019


 

>> Live from Atlanta, Georgia, It's theCUBE covering Citrix Synergy Atlanta 2019. Brought to you by Citrix. >> Hey, welcome back to theCUBE's coverage day two of our coverage of Citrix Synergy 2019. Lisa Martin with my cohost Keith Townsend, and we've got another CUBE alumni joining us, Dana Gardner, President and Principle Analyst at Interarbor Solutions. >> Sorry, my language skills are declining on day two. >> It's been a long day. >> It has been a long day. We've had, speaking of, had a lot of great conversations with Citrix Execs, customers, analysts over the last day and a half. People are very excited about what Citrix is doing with intelligence, experience, and really helping businesses to transform their workforces. But you have been following Citrix for a long time. >> Yes. >> So, talk to us about some of the early days back in the 90's. I'd love to get your perspectives on what you saw back then and what your thoughts are about some of the things that they're announcing at this event. >> Sure, well back in 1995-1996, the internet was still the new kid on the block, and browsers were kind of cool but, how would they ever help a business? And then, along comes this company that says, "Oh, we're not going to deliver things through a browser, we're going to deliver the whole app experience, apps that you're familiar with, your Windows-based apps over the wire. Over the internet protocol." Wow, so I remember at Internet Expo in New York at the Javits Center, Ed Iacobucci, The co-founder of Citrix got up there and explained how, yeah, we're going to deliver apps. And basically what they were describing is cloud computing as we know it today. Wow, it was very interesting, but we all kind of look at him like he was a little crazy. (host laughing) Yes. >> And, that's been a long time, man. Citrix has made a name for itself since then. You know, the day I was talking to David Hansel, yesterday and I said, "You know what, Citrix is a verb. I'm going to Citrix in an application. They established something for themselves." And, ironically, on stage yesterday he said, "85 percent of the IT budget goes to keeping the lights on." And I would firmly, as pre-kenote yesterday I'd say, you know what Citrix is firmly in that 85 percent of, they are rock, fast, hard technology partner, but they're in that 85 percent. But this intelligent experience I think kind of pushes them into that 15 percent of innovation. What did you think about yesterday's announcement? >> Well, based on my memory from 1996, I think it's consistent. That they're looking for something that's two or three years, maybe more out that will mature then. But they're not afraid of tackling it now. They had some really strong established businesses, but they're not resting on their laurels. They're looking at, I think a problem that almost everybody can identify with. In the past, their problems were people they could identify with in IT. The end user wasn't aware that anybody was Citrixing behind the scenes. Now, they're identifying issues that people have with work. The fact they were taking apps and services from multiple clouds, multiple data centers some of them our own company, some of our partners, some across an ecosystem or a supply chain, and it's becoming rather crowded. Disenfranchised. Fragmented. And people, I think are struggling to keep up with that amount of diversity. So, we're dealing with, yet again a heterogeneity problem, a reoccurring problem in technology. And Citrix is identifying with something that's a higher elevation than they had in the past. So, they're not addressing just IT although, that's where the actions going to take place to solve some of these problems. But they're focused on just about all of us. Whether we're working in a small, two or three person mom and pop shop or a 30,000 seat enterprise. >> And they've also done this pivot in the last, what we've heard in the last 24 hours, of really being positioned to the general user. Something that I didn't know until yesterday was that the majority of enterprise software has been designed for power users, which is one percent of the users. And so, they've really made that positioning pivot yesterday to, this is for the Marketing Managers, somebody in supply chain who has a day that is bombarded with seven to ten apps. They're losing hours and hours of productivity a week. You can look at that in terms of the amount of dollars that's being spent or wasted. But really making this, bringing those tasks to the user, those actions to the user. Rather than forcing the users to go out to all the different apps, put those pieces together. Oh, and then trying to get back to our actual day-to-day function. >> Right, we wouldn't have to talk about user experience if these things had been designed properly in the first place. It's a bit myopic on behalf of the IT power designer, that they often craft the product for themselves. That, this is still the dark arts behind the curtain thinking. It's very difficult for a highly efficient, productive IT group to create something for a non-IT audience. And I don't blame them, but it has to happen. It's going to happen one way or the other. So, we've seen companies that have taken extraordinary steps on usability, Apple computer is probably the poster child for this. Look at where it got them. There were lots of mobile phones around ten years ago, before the iPhone. Why did the iPhone become so popular, so dominant? Because of the usability. So, Citrix is I think, perhaps doing IT a favor by getting out in front of this. But still, if we're going to get IT in the hands of all people for productivity, what I look to is a fit-for-purpose mentality. No more, no less. You can't design it as if it's your own baby and your own special design, I don't know, once in a lifetime opportunity to strut your stuff. It has to be fit-for-purpose and it can't just be monolithic, where we're looking at little bits and pieces. So, the software's recent acquisition that Citrix made is going to be able to start picking out productivity units, for lack of a better term, from different applications, assimilate those in an environment, the workspace, where the productivity, the work flow, the goal of accomplishing business outcomes comes first and foremost. >> So Dana, let's talk a little bit about, you know the next level. Because it's broken. Even when you look at modern applications, one of the applications they showed on stage yesterday, was a cloud application. Salesforce. I mean, we know a people who make a good deal of money simplifying Salesforce, which is a born in the cloud application. This isn't just about cloud versus legacy, this is about end-user experiences, and end-users using applications in a way that makes them productive. One of the things that caught me as soon as Citrix said that they want to be the future of work, I tweeted out, "Well, you can't be the future of work unless you start to automate processes," and boom, intelligent experience. And the first thing that came to my mind was when we attended an event a couple weeks ago for RPA, Robotic Process Automation tool, that was very user-centric, but used the term "bots". Robots, sulfer robots that did the job. Citrix only used the term, "bots" once yesterday. What's your sense, is this a competitive solution to those partners? Or is this more of a complementary solution? >> I think Citrix is correctly trying to keep the horse in front of the cart and not the other way around. We have to look at work as flows of productivity first, and not conforming to the app second. But to get out in front and say, "Oh, it's all going to be animated and the robot will tell you what to do," I think does a disservice. So, let's take first things first. But let's not also lose track of the fact that by elevating work to a process and not just being locked into one platform, one cloud, one set of microservices on one framework, that we have the opportunity to integrate in analytics along the whole path. From beginning to end. And that we can even have the context of what you're doing feed back into how the analytics come at you. And reinforce one another. So, we need to get the process stuff set first. we need to recognize that people need to rethink getting off a desktop, getting out of email, looking at the full process. Looking at working across organizational boundaries. So, extra enterprise, supply-chain interactions, contingent workforce. Then, bring in analytics. So, first things first but it's going to be a very interesting mash-up when we can elevate process, get out of sort of silos, manage that heterogeneity and inject intelligence and context along the way. That changes the game. >> So, you've seen the workforce dramatically transform throughout your career. There are five generations of people in the workforce today. Madeleine Albright, there she was on stage this morning, 82 years old. I thought that was, what an inspiration? But companies have different generations, different experiences, different experiences with technology, differing expectations. What, in your opinion, did you hear yesterday from Citrix that is going to help businesses enable five different generations to be as productive as they want to be. >> Right, it's an extension of what Citrix has been doing for decades, and it's allowing more flexibility into where you are is accommodated. What device you're using can be accommodated. The fact that you want to be outside your home office but secure can be accommodated. So, what I heard was instead of locking in an application mentality, where everybody has to learn to use the same app, we need to have flexibility. And it's not just ages and generations. It's geographics, it's language, it's culture. People do business and they do work differently around the world. And they should be very well entitled to continue to do that. So, we need to create the systems that adjust to the people and read the people's work habits. And then reinforce them rather than force them into, let's say a monolithic ERP type of affair. And we've know that a large percentage of ERP projects over the years have failed. And it's not that the technology doesn't work, it's that sometimes, you can put a round peg in a square hole. >> Wow, speaking of round peg, square hole, IT, you know, they're preaching to the choir I think on this piece. You know, we want thing to be simpler. We want to get engaged. We want to solve this problem. But, is Citrix talking to the wrong audience when it comes to process automation? To your point, you have to have the large view of it, and a lot of timeS, especially folks at this conference, may not have the large view. How does Citrix get to the CMO's the COO's, the process people versus the technology folks. >> I think that's a significant challenge. Keith and I recorded a podcast with David Henchel earlier today and it'll be out in a few weeks on Briefings Direct, and I asked him that, I said, "You're well-known in the IT department. They use a verb, they're Citrixing. The end user, not so much. But if you're going to impact work as you intend to and as you've laid out here at Synergy, you do need to become more of a household word, and you need to brand and you need to impact." And we know one of the hardest things to do is to get people to change their behavior. You don't do that behind the scenes. In some ways, Citrix has been very modest. They haven't been the Citrix inside, they haven't branded and gone to market with. They've usually let their partners like Microsoft and now even Google Cloud be on the front page, even as they're behind the scenes. But I think they need to think a little bit differently. If they're going to impact people, people need to understand the value that Citrix is bringing. But identifying themselves as they have at this show with work and productivity issues, usability and intelligence will start that process. But I do think they can go further on their go-to-market and not just bring this message to their sales accounts, but to a larger work productivity, human capital management enterprise architect type of base. >> And they are making those impacts. Keith and I today have already spoken with their three innovation award nominees. There were over a thousand nominations. And we spoke with Schroders, which is a wealth management company based out of the UK and how they have been able, a 200 year old company, to really transform their culture with Citrix's workspace was, it was done so strategically, so methodically. But how they enabled that and a seamless integration in terms of their customer experience and engagement with their wealth managers was really compelling. Not only are they able to retain their probably longstanding wealth management clients, but they have the ability now, and the technology capabilities to allow their people to work remote three days a week if they want to or from wherever, and actually work on getting new clients. So, the business impact is really clear. We also spoke with Indiana University. They have gone from just enabling the students on the seven campuses to 130,000 plus across campuses online. They're enabling sight impaired people to also, by virtualization, have access to computer technology. So, you're talking about going from tens of thousands to a ten X at a minimum multiplier, and enabling professors to have conversations and hold classes with people in Budapest. Big impact. >> So Lisa, you're bringing up the point that user experience isn't just employing experience, it's end user and-- >> Absolutely >> Consumer experience. If you're going to do this and do it right, don't consider it just for your employees. It's for reaching out to the very edge of the markets, and that includes consumers and students and mom and pop shops and everything in-between. So when you do this right, and not only will you be delivering intelligence and context to your employees, you'll be able to start to better serve your customers. And that's what digital transformation is really about. >> It is, and the cultural transformation that Citrix is undergoing and that they're enabling their businesses to achieve, like the two we just talked about, are critical catalysts for digital transformation. But to me, employee experience and customer experiences are hand in hand because every employee, whatever function you're in, in some way you're a touchpoint to the customer. If you're in retail, you're presenting a shop-able moment as often as you can. But you also are dealing with customers who have choice to turn and go to another provider of that product or service. So, having those employees not only be satisfied, but have the tools that they need and the intelligence to deliver the content. >> So, I'd be happy to go to a brick and mortor shop. I'll walk in there physically if they can help me in the shopping experience be smarter, but if I can do it online in my bedroom on my browser, then I'll do it there. So it's no so much the interface or even the place anymore, it's who's going to give me the information to make the right decision and make me feel confident that I'm spending my money the most productively. Whether I'm a consumer or a business. So B-to-B. That's what's going to be the killer app, is the smart decision making, and the experience of bringing the right information, right place, right time. That's key. And that's what Citrix has repositioned itself for. I think it's really quite a dramatic shift for the company but they've done it before. >> Well, Dana it's been great having you back on theCUBE unpacking this. It's been an exciting day and a half for us and we look forward to having you back on theCUBE sometime soon. >> My pleasure. >> For Keith Townsend, I'm Lisa Martin. You're watching theCUBE Live from Citrix Synergy 2019. Thanks for watching.

Published Date : May 22 2019

SUMMARY :

Brought to you by Citrix. and we've got another CUBE alumni joining us, analysts over the last day and a half. So, talk to us about some of the early days the internet was still the new kid on the block, "85 percent of the IT budget goes to are struggling to keep up with You can look at that in terms of the amount of dollars It's a bit myopic on behalf of the IT power designer, And the first thing that came to my mind and not conforming to the app second. that is going to help businesses And it's not that the technology doesn't work, But, is Citrix talking to the wrong audience But I think they need to think a little bit differently. on the seven campuses to It's for reaching out to the very edge of the markets, and the intelligence to deliver the content. and the experience of bringing and we look forward to having you back on theCUBE Thanks for watching.

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Phoebe Goh, Netapp & Paul Stringfellow, Gardner Systems


 

(electronic music) >> Announcer: Live from Las Vegas, it's theCUBE, covering NetApp Insight 2018. Brought to you by NetApp. >> Welcome back to theCUBE's continuing coverage of NetApp Insight 2018. We are in Mandalay Bay in Las Vegas, I'm Lisa Martin, with Stu Miniman. And we have a couple of guests joining us now from the A-Team, cue the music rights too. We've got Phoebe Goh, Cloud architect from NetApp, and we've got Paul Stringfellow, one of our CUBE alumni, technical director of Gardner Systems, one of NetApp's partners. Guys thanks so much for stopping by theCUBE. >> You're welcome. >> In your matching outfits! >> Thank you for having us. >> So first of all, this morning, before the general session started, I saw both of you on camera talking a little bit about the A-Team. For our audience who might not be familiar with that, I know it's been around for five years. Phoebe, talk to us a little bit about the A-Team, who composes it, obviously we've got a channel partner, it's not just NetAppians, but give our viewers a little bit of an overview of the A-Team. >> NetApp really appreciates our advocates from channel partners and also from our customers. We really love hearing from them, and we also love giving them back information about what we do, and where we're going with our vision and our strategy. So, we have channel partners on the A-Team as well as customers, and technical advisors from NetApp, such as myself, and we get together every now and then at events like Insight, and we also bring them to Sunnyvale where they are given some information about what's coming up with our strategy. >> And this is a small group of about maybe 30 people. Paul how long have you been part of the A-Team, and what has that, what you have learned from some of the other folks that are on that team? >> It's a great question, I've been a part of the team for three years, and it's kind of a symbiotic relationship almost in that it kind of works both ways. I think there's lots of value for NetApp in the partnership, in that they get to hear kind of from channel partners on the street, about what people actually think of their technology. It also works in that we get to see quite a lot of pre-release information, and it gives us the opportunity to feed back to NetApp directly from the things that we see out in the channel about what customers actually want, and then we can feed that back into NetApp, and we've seen over kind of the five years of the team, we've seen product strategies change, we've seen new products come to market, because of that direct feedback. And then from our side, when we talk to our customers, there's real value in being able to say that we've got that direct relationship with NetApp, we've got that access to their executives, and access to their research team. It works really well both ways for us. >> In the keynote this morning, we heard George Kurian talk about digital transformation, and one of those pieces is that hybrid multi cloud is the defacto IT architecture, Paul I would love to get your feedback as a channel partner, what this kind of hybrid multi cloud means to your customers, means to your business. >> So I think the idea of hybrid I think, it's different for a lot of people, so in lots of cases, hybrid for some organizations may be that their entire data center remains on prem within their own walls, however they might be using a software service, an Office 365, they may be using a Dropbox, and I don't think kind of the definition that George was talking about this morning when he talked about hybrid cloud. My little take on what George talked about as well with hybrid cloud , I think he's understanding that it exists, understand that public cloud is a thing, that the Azures, that the AWSs, the Googles, play a part in a way that some organizations are working. That's not necessarily the way your organization wants to work, so understanding that it's there, designing an architecture that recognizes that, and makes sure that if you ever want to use those kind of services in the future, that you'll be able to do so, but it's equally valid to say, actually, public cloud isn't for us. As long as you make that as a decision, and don't just fall into it because you've not really thought about it, that's a perfectly valid strategy. >> I really agree with what you were saying. So often when we talk about hybrid and multi-cloud, we're talking about infrastructure. >> Paul: Yep. >> And there's more than just infrastructure, a thing that I've been saying for a few years, let's follow the applications, and even more importantly, let's follow the data. I love we get some international viewpoints here because sometimes North America, it's like oh let's talk only about public cloud and seems to be kind of a monolithic thing. Phoebe, I would love to get your viewpoint, what are you hearing from customers when they talk about cloud, what does that mean for them, and how's NetApp and NetApp's channel partners helping them sort through this new future? >> Definitely, our customers and our channel partners are talking a lot about cloud, creating, adding agility to their business, allowing them to move faster, and to be more flexible, and what NetApp is looking to do is really enable that and speed that up for, no matter where you are in the globe, whether you're in Australia, or in America, or in Europe, that you can achieve those business outcomes that you really want, and we know that the cloud is going to help us get there, so we really want to help them use the data the best ways, and use the technology that makes sense for the business to be able to get to public cloud. >> How are you hearing, a lot of the messaging coming out, NetApp is data driven, it's the data authority, lot of transformation that NetApp's undergone in its 26 year history, I'd love to get your both of your perspectives before we wrap here about how are customers embracing that as looking to NetApp and its ecosystem partners to help them embrace this hybrid multi-cloud environment in which they live, and look at NetApp as part of their core cloud strategy, rather than data management storage? >> I'm actually really excited about this because I love collaborating and talking our customers and our partners, and what I find is that they're coming to us and saying, "Wow, we didn't know you guys did that, and "you're not even, you're not selling us something, you're "really helping us get there." We're having a conversation about how we can really get there, get to their business outcomes, rather than trying to push a product, where I find that we get to have really collaborative conversations, Paul? >> Actually, I couldn't agree more, I think that what data fabric, what this kind of hybrid cloud model means to our customers, is it opens up a much wider conversation. We're not having a conversation about storage, we're not talking to a partner saying, would you like to buy some NetApp, as a customer, because that can be, that's a yes no, I use something else, I'm not interested in NetApp or I'd love to buy some NetApp. Actually, if we can have a data conversation that talks about how do you want to use this, what are the business outcomes that you'd like to achieve, what is it you are trying to do as a business, let's help data be part of that transformation. >> Guys, thanks so much for stopping by having a quick convo, especially Phoebe since you've been in Vegas for four days already, and your voice is hanging on by a thread. Paul, Phoebe, thanks so much for your time. >> Thank you. >> You're welcome, pleasure, thank you. >> We want to thank you for watching theCUBE, from Las Vegas NetApp Insight 2018, I'm Lisa Martin with Stu Miniman, Stu and I will be right back with our next guest after a short break. (electronic music)

Published Date : Oct 24 2018

SUMMARY :

Brought to you by NetApp. And we have a couple of guests joining us now from the Phoebe, talk to us a little bit about the A-Team, We really love hearing from them, and we also love giving has that, what you have learned from some of the other in that they get to hear kind of from channel partners on In the keynote this morning, we heard George that the AWSs, the Googles, play a part in a way that some I really agree with what you were saying. public cloud and seems to be kind of a monolithic thing. going to help us get there, so we really want to help them and saying, "Wow, we didn't know you guys did that, and talking to a partner saying, would you like to buy some Paul, Phoebe, thanks so much for your time. We want to thank you for watching theCUBE, from

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Jeremy Gardner & Genevieve Roch Decter | Blockchain Week NYC 2018


 

from New York it's the cube covering blockchain week now here's John furry hello everyone welcome back to this special cube exclusive on the water coverage of the awesome cryptocurrency event going on this week blockchain week New York City D central Anthony do re oh seven a big special event launching some great killer products me up to cube alumni that we introduced at polycon 2018 Genevieve Dec Monroe and Jeromy Gartner great to see you guys thanks for having us so you guys look fabulous you look beautiful you're smart we're on a boat we're partying it feels like Prague it feels like prom feels like we are at the top of another bubble couldn't feel better five more boat parties and then the bubbles officially at the top but we're only had the first boat party well the real existential question is what do we view next you know we've we've graduated from nightclubs and strip clubs and now two super yachts like do we go on a spaceship neck's or a Boeing Jets yeah I mean the options are somewhat limited in how we scale up the crypto parties I actually heard today one of my clients is launching in space a crypto mining operation that's fueled by solar power so we might be going to space Elon Musk wants to get involved I agree like where are we going you guys are awesome I love the creative so this party to me is really a testament of the community talk about the community I see polycon was great in Puerto Rico they had restart week and that but I heard these guys saying here at the central that the community's fragmented is the community fragmented seems like it's not out there or just only one pocket of the community I think the community so we have 10,000 people at consensus okay so these are 10,000 people that have gone down the rabbit hole and they're all at the Hilton in midtown Manhattan kind of going like how'd you get involved why are you here 10,000 people is a lot but I think that yeah we're we're at the decentral party so some of the yeast communities are being fragmented but I think we're having like infrastructure built to kind of connect the broader world to the things whether it's custodial services whether it's like tonight the jocks 2.0 wallet and you know everything that's getting involved there I don't know Jeremy Jeremy it's like an international traveler so you Carly Jeremy it's 100 percent in an echo chamber more importantly rabbit holes are like dark and confusing places that there are they're winding and a lot of people are here for very different reasons and thus when you have all these new entrants to the industry to this technology here for all these different reasons of course you have some fragmentation you know in many regards the ideological and philosophical roots of Bitcoin and blotchy technology have been lost son on many of the new entrants and and so it takes time to get to the point where we're all winding I think different blockchains and different applications of this technology will have different kind of approaches to how people think about investors always gonna be pragma because this is a massively growing industry that touches upon every kind of business and governmental and non-governmental it's actually fragmentation is a relative chairman is Genevieve you I saw you and you guys are working with things from cannabis coin I think you had to cannabis cabin this week in New Yorker yeah we're doing that tomorrow night actually so crypto and cannabis are two the hottest millennial sectors right and so we kind of like to say Agri capital we like to dance on the edge of chaos I actually found out about a cannabis company in Vancouver so just outside Vancouver that is using a crypto mining operation and all the excess heat that is coming off that to power a grow-op so we're literally at the intersection of crypto and cannabis not just for our handling money but handling energy in a different way which is so fast that's real mission impact investing right there you know using energy to grow weed that's the Seidel impact isn't it good bad I mean even as you look at it you know better cannabis healthy cannabis is a mission people look care about we're helping people's wallets and we're helping people's minds right in like ways that the government banks and pharmaceutical companies are fighting against so you know if you can't beat them join them so I welcome Astra Zeneca and the Bank of Canada to come on board our mission this is specially turning into a cube after dark episode Jeremy I gotta get your thoughts on these industries because look at cannabis we joke about it but that's an example of another market this zilean markets that are coming online that are gonna be impacted so fragmentation is a relative terms but hey look at it I mean energy tech is infrastructure tech and solid that's what I'm concerned about who nails the infrastructure for network effects and what's the instrumentation for that that's the number one question that is essential question for the protocols whether it's Theory amore Bitcoin oreos Definity so forth the protocol that provides the strongest and and most adaptable and infrastructure and foundational technology is going to be one of the main ones are those will be the main winners and so the names I mentioned they're up there they're very competitive but it's anybody's game right now I think any blockchain can come along right now and be the winner a decade from now and for entrepreneurs represents a challenge because you have to figure out what blocks came to go build on this is why I am big on investing in interoperable Ledger's technologies that enable the kind of transfer smart contracts and crypto assets between blockchains it's a great great segue let's just get an update since we last talked what are you working on what are you investing in what's new in your world share the update on strangers so now my fund is officially launched where how much we launched with just over 15 million dollars and amazingly we launched at the perfect time we're already up 55% and we got making an investment for a venture fund we actually did the exact WA T investment which transferred over from my personal investment portfolio but doing great I have really run the gamut in terms of investments we're making on the equity side of things and in crypto assets but what we're seeing is really accomplished entrepreneurs coming to this space continue actually more optimism than I had felt at polygon poly car and I was like this market needs to correct in a real way today I think that Corrections been prolonged if we were gonna feel a lot of pain it was gonna be two months ago but instead I think it's gonna be one to three years before the market goes through the correction that we need to see for the real shakeout to happen because so many of these teams that I think are garbage have so much money yeah and they're just floating around they got has worked their way out it's just like a bad burrito at some point it's got a pass Genevieve what are you working on I'll see you've got grit capital what's the update on your end what's new yeah amazing actually literally tonight probably about 60 minutes ago my business partner and I signed one of the fastest-growing exchanges in Canada called Einstein exchanges of quiet so these guys have only ever raised like one and a half million u.s. and they're the biggest exchange in Canada by sign ups active accounts so they're probably doing like almost a hundred million in top-line transaction volumes and they're probably never going public somebody's probably gonna buy them but we're gonna be marketing them across the country getting customers I mean the tagline is it doesn't take I'm Stein to open an account it shouldn't take n Stein it by Bitcoin you can literally get this account set up in under 60 seconds so they're vampires ease-of-use surety reducing the steps it takes to do it and get it up and running fast absolutely like my dad could do it and like alright so we say now follow you on Instagram and Facebook which is phenomenal by the way I got a great lifestyle what's the coolest thing you've done since we last talked to Polycom Wow polycon was kind of a high really peaked and then everyone got sick like our team got said polymath untraceable cuz everybody just got the flu yeah we were like on adrenaline and we kept going ah what's the coolest thing that we've done since then I think it's signing up like cool companies like Einstein we also signed a big cannabis company in Colombia called Chiron they're about to go public I don't know Cole what do you think I don't know maybe what's the coolest thing you've done travel what's your good so last night Jeremy and I just met we're together on a blockchain Research Institute project that Sonova Financial is backing and meeting him so you guys working together on a special project right now how's that going what's that about JCO which is a new sort of financial services firm they're creating what it could effectively be understood as a compliant coin offering that is available to more than just accredited investors and that's they're making ico something that falls within the pre-existing regulatory framework and also accessible to your average Joe which I think it's really important if we're going to follow the initial vision for both blockchain technology and offerings all right final question I know you guys want to get back to your dancing and schmoozing networking doing big deals having fun what is blockchain New York we call about we could pop chain we here in New York what the hell's happening there's been a lot of events what's your guy's assessment of you observed and saw anything can you share for the people who didn't make it to New York or not online reading all the action what's happened so as someone that did not attend consensus spoke at three other events or speaking at three other events I can say with certainty that the New York box chain week has been about bringing together virtually everyone in the industry to connect and kind of catch up with one another which is really important we we don't have that many events Miami was too short the industry's gotten too big but having a full week of activities in New York City has enabled me to kind of foster relationships are oh I yeah man get a lot of work John well I've gotten so much work done I haven't had to actually be a date conferences to reconnect with just about everyone that I want to industry that's really special Genevieve what is your observation what have you observed share some in anecdote some insight on what happened this week I know fluid he started I saw Bilt's I was just chatting with him about it it was started in over the weekend it's gone up and we're now into Thursday tomorrow coming up well I don't think it's a coincidence that Goldman Sachs came out today and said that they were launching some sort of digital currency marketing yeah exactly using the power of the 10,000 people i consensus but yeah i know i agree with what jeremy says it's not really about being at consensus it's about what happens like behind closed doors it's all these decentralized parties that are happening yeah open doors but like it's you know like we hosted a core capital asset we had a hundred people in a suite at the dream hotel and it was just like you put the biggest CEOs of the mining companies in the world together and like put those with investors in a room it's like you know 100 people and that's where the deals happen it's not like in the big you know huge auditorium where like nobody looks at each other and everyone's on their phone well I gotta tell you how do we know we the Entrepreneurship side is booming so I totally love the entrepreneurial side check check check access to capital new kinds of business model stuff economics so we reported on all that to me the big story is Wall Street in New York City has been kind of stuck the products kind of like our old is antiquated like the financial products and like that's why Goldman's coming out they got nothing what they don't have anything what are they got so you see in a stagnant they got a traditional product approximately nothing really like new fresh so you got in comes crypto just do a crypto washer so I think I see the New York crowd going this is something that is exciting and we could product ties potentially so I don't think they know yet what that is but I think some of the things that are going on you guys I like I like so I my dad's always the kind of barometer to this whole thing and he's like when are they gonna come out with like a Salesforce stock column for the blockchain right like some sort of application that it doesn't matter if you're like illegal if you're like in investment banking like some sort of pervasive application that just goes wild you have that yet what is that happening Jeremy Jeremy did the date was it's the Netscape moment if you will the moment that blotching technology becomes tangible and now and in retrospect a few years out we may decide that's great for all the young browsers is a browser the original browse for the Internet that was that moment may have already happened we don't really know it maybe it been something like a theory a more augered you know something where there's a use case but people haven't wrapped their heads around it yet but if that hasn't happened yet it's coming it's where we're on the cusp of it because people know what bitcoin is they've heard of the blockchain it is part of the zeitgeist now and and that cultural relevance it's so important for having that Netscape moment Jeremy Jeremy thanks so much to spend the time here on the ground on the water for our special cube coverage of blockchain week new york city consensus you had all kinds of different events you had the crypto house where we were at tons of fluidity conference all this stuff going on good to see you guys you look great thanks for sharing the update here and the cube special coverage I'm John Faria thanks for watching Thanks

Published Date : May 21 2018

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Jeremy Gardner, Ausum Ventures | Polycon 2018


 

>> Announcer: Live from Nassau, in the Bahamas, it's The Cube. Covering Polycon '18. Brought to you by PolyMath. >> Hey, welcome back, everyone. This is The Cube's live coverage in the Bahamas of Polycon '18, put on by PolyMath and Grit Capital. And a special guest who just did a walk-by, fly-by, The Cube wanted to bring him in, Jeremy Gardner. We've chatted with him all week, influencer, entrepreneur, venture capitalist now, been involved in crypto, dropped out of college, luminary in the industry, young gun, great to have you on The Cube. Thanks for coming on. >> That is the most honorific title I've ever received. >> We like to shoot the shit around here on The Cube. Seriously, though, you have a big following in the community, well respected, I mean, a lot of cool things going on. A lot of young people working on projects, you're one of them. A lot of old people coming in, that have skills, whether it's cryptography or the other ecosystems, interesting blend. You've also worked on the Augur project, which has been highly successful. It's been a great case, and I hear people point to it all the time, say, "Love that concept", but a lot of cool tech. And you're at Ausum Ventures right now, that you're running. What's your take right now? I want to get into some specifics on some tech questions, but, you know, you're out there, you've done some things, you're in the middle of it, you get a fresh perspective. What's going on? What's your view and how do you see it playing out in this business? >> What we see occurring in 2018 is an incredible maturation of the industry. We've gone from Bitcoin to cryptocurrencies to blockchain technology, to this concept of smart contracts and de-centralized applications, to this ICO fad, to now what we're seeing here at this conference, which is the emergence of security tokens. And this evolution represents the broadening of the blockchain economy as a whole. From something that once was this niche little kind of ideological technology to something that is totally global, and perhaps as big as the internet, if not bigger. And that maturation is really important, because as the market matures, a lot of the scams that we've seen in years past will begin to fade away. That being said, I think we're going to need to see a real shake-out in the industry, a bloodbath in the markets where a lot of these poorly formulated tokens, crypto assets, disappear before we see a really blossoming crypto economy. >> It's like you got to clear the digestive tract of all the bad food you ate. I mean, you got to kind of get it out. >> Exactly, it's a purge. There's so much toxic crap in this industry today, it has to disappear before we can really evolve into something that rivals Wall Street. >> Yeah, and it's early on, too. I got to say, we've seen many waves in our day, Cube, we cover it. What I like about what's happening now is you've got an ecosystem forming, you've got people like yourself who are putting out statements like that, which is, quite frankly, a signal. And people need to speak up right now, because we've got to identify the bad stuff. So the ecosystem's forming. >> Well, it can be hard to do that when you're making a lot of money on crap. I mean, I've missed out on a lot of money-making opportunities 'cause I've been ideologically pure. I've only invested in projects that I truly believe will change the world. That can be limiting. And I don't blame people that kind of set aside ethics or quality projects for a greater profit mode, I'm a big believer in capitalism, but fundamentally, that mentality has to go in order for us to take this technology to the next stage. >> Okay, money making's going to happen, there's going to be some high flyers, and some are going to be legitimately good intentions that may turn out to be crap, and then there's going to be total crap, which starts out to be a scam, anyway. >> Right. >> How do you look at those signals? I mean, obviously you want to look for trajectory and community and tokens. How do you look at it? Is it underpinnings of the tech? Is there a business model? What's your view on how to look for those potential trajectories? >> In my view, it's just like venture capital. It starts with the team every single time. Team, team, team, then concept, then market, then tech. I mean, the tech changes, the code's constantly being updated. I'm not a coder; it's something that can evolve, it's something that, once you raise capital, you can have better technologists building out your tech stack. That doesn't really concern me. It's, is this team going to execute, are they going to be able to iterate in a fast-moving business environment in which the tides are always turning, regulators are always doing different things? Are you going to be able to adapt and evolve, and are you going to work together as a team? I take teams out to dinner, I see how they interact with one another. Do they have symbiosis, or are they kind of antagonistic? If they have an antagonistic relationship, it doesn't matter how good the concept is, how great the tech is, because the team won't stay together. And I don't want to have to make those sorts of bets on who's going to be the winning player. I'll stay in touch with the team, but I'll rarely make that investment. >> Yeah, they got to be ready for battle together. They've got to get down and dirty. >> So I hold teams paramount in early-stage investing, which is all I do. >> Awesome. So what are you excited about today, right now? What are you looking at, what's floating your boat, what's getting you excited, what's the specific-- >> So, Augur's about to go on the mainnet, so it's going to be the first truly de-centralized, consumer facing, de-centralized application. Very exciting. I think it could change the world of finance forever, and the way we predict the future. So it's mainnet going live, and then three months after that, hopefully the actual platform going fully live. It's still the most exciting project in the crypto-space, in my view. Even though I've been involved for a couple of years. I am an advisor to Basecoin, which is wrapping up its presale right now. Basecoin is an algorithmic stable coin that today maintains parity with the dollar, and it, I think, is going to be one of the most necessary components. It, or another stable coin, will be one of the most necessary components of creating a true crypto-economy. 'Cause if you look at most of the blockchain applications today, most of them are using these volatile crypto-assets as forms of payments and transactions, and that doesn't work for your average consumer, or even for large enterprises. People do not like volatility. It's a compounding risk factor for almost any sort of transaction. And so for us to have a real robust crypto-economy, we need a stable coin. My bets are on Basecoin, but I'm rooting for all the teams. Because whoever does this, and it may be multiple teams, will have unlocked one of the biggest problems that effects crypto-assets today, which is volatility. >> And liquidity is also a concern, people want to get liquid. That's also a dynamic of why token economics works, is you don't have the process of going public. You can do a little bit of funding and liquidity. Talk about the liquidity impact. >> Yeah, I mean, look. ICOs and token sales are this fabulous way to democratize finance and raise capital, especially for de-centralized applications and new protocols. They really can't take a traditional fundraising mechanism. That being said, if you are trying to create any sort of payment token, which I would never encourage anyone to do, but if you are, like a lot of these utility tokens, their point is for the purpose of payments. And that's idiotic to me, 'cause you're going to do what? Raise $30 million, maybe $100 million? Let's say $200 million. What's the volatility on that going to be daily, or annualized? It's insane, it will never be adopted by consumers. And furthermore, anyone that tries to create a payment token for their specific application, what they're not recognizing is someone's going to have to go to Coinbase, buy Bitcoin, send it to Poloniex, buy their token, send it to the application, just to make a payment? No way! >> Yeah, too complex. Credit cards are always going to beat that out, or Bitcoin and ether. >> Alright, so I've heard on The Cube here, and I've also heard in the hallway, a consistent theme I want to get your reaction to. This marketplace of having de-centralized apps, and blockchain, and cryptocurrency kind of dynamic really disrupts areas that have a lot of slack, or lag, or unused resource. It could be a physical asset, could be computers in the data center doing P2P stuff, and that this market busts down those inefficiencies, creates efficiency, that's the arbitrage. >> It can. >> Your reaction to that. >> It can, but like I say, how do you get access to those tokens? So the rise in security exchanges, security token exchanges, and more robust crypto-asset exchanges, will potentially enable that right now. But unless you have an easy way to buy and store those tokens that are freeing up illiquid assets in a dynamic manner, tokenizing assets isn't very useful. You know, with Blockchain Capital, my last venture fund, we created the first liquid venture fund. It was actually the first security token ever. And the problem that we ran into was everyone was excited, we created this liquid, limited-partner interest in a venture fund, but the problem was there was no place to trade it or sell it. And so, despite the nav of the fund going up, the price of the token remained the same, 'cause there was no liquid exchange. So you need a liquid place for the exchange of value in order for the liquidization of these assets to occur. Furthermore, I think more important than that point is that blockchains are fundamentally the largest technological disintermediator that has ever existed in human history. Even, since the beginning of time, pretty much, we have always relied on middlemen, whether they're banks or governments or tribal councilmen, to mitigate any sort of transaction. With blockchains, we can now have truly trustless transactions, and disintermediate trillions of dollars' worth of middlemen and trolls under the bridge. And that's the most revolutionary component of this technology. >> That's awesome. I want to get one quick question in, we're tagged for time. This rise of the security token has been a great innovation. We've seen great traction because of the security token, we're seeing PolyMath doing a lot of people looking at this as a stabilization. What does it do to the utility token? Does it change the nature of the utility token? Will utility token have a life that's not a monetizable thing? Will it still trade? What's your view and vision on the role of the utility token now that the security token has been established as a viable mechanism? >> So look, when we were building Augur, we did not want to issue a token. ICOs were really scary back then, but we realized, in order to have a truly de-centralized prediction market platform, we had to have a second token. One that wasn't used for payments, but that created a de-centralized consensus in our network. And so we created the first utility token ever. And back then, I was like, oh, this is novel, this is cool. We tried selling it to people; No one really got it. But then, it seems like we went and opened up Pandora's Box. All of a sudden, utility tokens flourished in the past two years, as this means to raise capital. The problem was, nobody was thinking beyond that capital raise. And so most of those utility tokens would have been much better as security tokens. They didn't actually provide much utility. And so I think those tokens, that 99%, 98% of utility tokens that have come out in the past two years, that didn't actually have true utility, those will go, you know. >> Yeah, I think it's some interesting conversation. I want to follow that up when we get back to the Bay Area. This is super important, I really love the idea that you're kind of teasing out. I see utility tokens having an instrumental role in governance consensus, other community dynamics, which might have its own value. I don't know yet what it looks like, but we'll certainly follow up. >> Absolutely, and security tokens will be the largest crypto-asset in the next two to three years. >> Jeremy Gardner, great conversation. Love the young guns, man. They're so smart, great to have you on, us old guys, we're just trying to keep up with these young guns. Back with more live coverage after this short break. Good job, man. >> My pleasure, man. >> You're awesome, dude. Alright. Hey, when we get back, I really want to get, I think the utility, I think the dual-token model is the way to go. Security, and >> I didn't think it would, but right now, the problem is most utility tokens-- (electronic music)

Published Date : Mar 2 2018

SUMMARY :

Brought to you by PolyMath. great to have you on The Cube. in the community, well respected, a lot of the scams that we've seen in years past of all the bad food you ate. it has to disappear before we can really evolve I got to say, we've seen many waves in our day, but fundamentally, that mentality has to go and then there's going to be total crap, I mean, obviously you want to look for trajectory I mean, the tech changes, Yeah, they got to be ready for battle together. which is all I do. What are you looking at, what's floating your boat, and the way we predict the future. Talk about the liquidity impact. And that's idiotic to me, 'cause you're going to do what? Credit cards are always going to beat that out, and I've also heard in the hallway, in order for the liquidization of these assets to occur. now that the security token has been established that have come out in the past two years, This is super important, I really love the idea the largest crypto-asset in the next two to three years. They're so smart, great to have you on, is the way to go.

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Sheila FitzPatrick, NetApp & Paul Stringfellow, Gardner Systems | NetApp Insight Berlin 2017


 

>> Announcer: Live from Berlin, Germany, it's theCUBE, covering NetApp Insight 2017. Brought to you by NetApp. (upbeat music) >> Welcome back to theCUBE's live coverage of NetApp Insight 2017, here in Berlin, Germany. I'm your host, Rebecca Knight, along with my co-host, Peter Burris. We are joined by Shelia Fitzpatrick, she is the Chief Privacy Officer of NetApp, and Paul Stringfellow who is a Technical Director at Gardner Systems. Shelia, Paul, thanks so much for joining us. >> Thank you. >> Thank you for inviting us. >> So, I want to talk about data privacy. The general data protection regulation, the EU's forthcoming laws, GDPR, are going to take effect in May of next year. They represent a huge fundamental change about the way that companies use data. Can you just set the scene for our viewers and explain what these changes mean? >> Sure, happy to. As you said, GDPR is the newest regulation, it will replace the current EU directive, goes into effect May 25th of 2018. It has some fundamental changes that are massively different than any other data privacy laws you've ever seen. First and foremost, it is a legal, compliance and business issue as opposed to a technology issue. It's also the first extra-territorial regulation, meaning, it will apply to any organization anywhere in the world, regardless of whether or not they have a presence in Europe. But if they provide goods and services to an EU resident, or they have a website that EU residents would go to to enter data, they are going to have to comply with GDPR, and that is a massive change for companies. Not to mention the sanctions, the sanctions can be equal to 20 million Euro or 4% of a company's annual global turnover, pretty phenomenal sanctions. There are a lot of fundamental changes, but those are probably the biggest right there. >> What are some of the biggest challenges that companies are... I mean, you talked about the threat of sanctions and just the massive implications of what companies need to do to prepare? >> To really prepare, as I'm talking to customers, they really need, unfortunately a lot of companies are just thinking about security. And they're thinking, well as long as we have encryption, as long as we have tokenization, as long as we're locking down that data, we're going to be okay. I'm saying, no. It first and foremost starts with building that legal compliance program. What does your data privacy program look like? What personal data are you collecting? Why are you collecting it? Do you have the legal right to collect it? Part of GDPR requires unambiguous, explicit, freely-given consent. Companies can no longer force or imply consent. A lot of times when you go on to websites the terms and conditions are so impossible to understand that people just tick the box (laughs). Well, under GDPR, that will no longer be valid because it has to be very transparent, very easily understandable, very readable. And people have to know what organizations are doing with their data. And it puts ownership and more control of data back into the hands of the data subject, as opposed to the organizations that are collecting data. SO those are some of the fundamental changes. For the Cloud environment, for instance, for a lot of big hyperscalers, GDPR now puts obligations on data processors which is very different from the current regulation. SO that's going to be a fundamental change of business for a lot of organizations. >> Now, is it just customers or is it customers and employees as well? >> It's customers, employees, suppliers, it's any personal data that an organization collects, regardless of the relationship. >> SO what does it mean? Does it mean that I'm renting your data? Does it mean that I, 'cause you now own it, it's not me owning it. >> I own it, that's right. >> What are some of the implications of how folks are going to monetize some of these resources? >> SO what it actually means is, as an organization that's collecting data, you have to have a legal and valid business reason for needing that data. SO part of GDPR requires what's called, data minimization. You should only be collecting the minimal amount of data you need in order to provide the service you're going to provide, or manage the relationship you're going to manage. And you are never, as an organization, the owner of that data, you're the data steward. I am giving you permission to use my data for a very specific reason. You can't take liberties with that data. You can't do, what I call, scope-creep which is, once you have the data, "Oh, I can do whatever I want "with that data," no you can't. Unless I have consented to it, you cannot use that data. And so, that is going to be a major change for organizations to deal with and it doesn't matter if it's your employee data, your customer data, your partner data, your alternative worker data, your supplier data. Whose ever data you have, you better be transparent about that data. >> Shelia, you haven't once mentioned technology. Paul, what does this mean from a technology perspective? >> I suppose it's my job to mention technology? >> As Shelia will tell you, the GDPR, it should not be driven by IT. Because it's not an IT problem, it's absolutely a legal and compliance issue. However, I think there's a technology problem in there. So for lots of things that Shelia is talking about, in terms of understanding your data, in terms of being able to find data, being able to remove data when you no longer need to use it, that's absolutely a technology problem. And I think, actually, maybe something you won't hear said very often, I'm a real fan of GDPR, I think a it's long overdue it's probably because Shelia's been beating me round the head for the last 12 months >> I have. >> about it. But, I think it's one of those things that's long overdue to all of us within enterprises, within business, who hold and look after data. Because what we've done, traditionally, is that we just collected tons and tons of data and we bought storage 'cause storage could be relatively cheap, we're moving things to the Cloud. And, we've got absolutely no control, no management, no understanding of what the data is, where it is, who has access to it? Does anybody even access it, I'm paying for it, does anybody even use it? And I think what this is, for me, if GDPR wasn't a regulatory thing that we had to do, I think it's a set of really good practices that, as organizations, we should be looking to follow anyway. And technology plays a small part in that, it will enable organizations to understand the data better, it will enable those organizations to be able to find information as and when they need it. When somebody makes a subject access request, how are you going to find that data without appropriate technology? And I think, first and foremost, it's something that is forcing organizations to look at the way they culturally look after data within their business. This is no longer about, "Let me just keep things forever and I won't worry about it." This is a cultural shift that says data is actually an asset in your business. And as Shelia actually mentioned before, and something I'll pinch in future, the data is not mine, I'm just the custodian of that data while you allow me to be so. So I should treat that like anything else I'm looking after on your behalf. SO I think it's those kind of fundamental shifts that will drive technology adoption, no doubt, to allow you to do that, but actually, it's much more of a cultural shift in the way that we think of data and the way that we manage data in our businesses. >> Well you're talking about it as this regulation that is long overdue, and it will cause this cultural shift. So what will be different in the way that companies do business and the way that they treat their customer data, and their customer's privacy? And their employee's privacy, too, as you pointed out? >> Well, and part of the difference is going to be that need for transparency. So companies are going to have to be very upfront about what they're doing with the data, as Paul said. You know, why are they collecting that data, and they need to think differently about the need for data. Instead of collecting massive amounts of data that you really don't need, they need to take a step back and say, "This is the type of relationship "I'm trying to manage." Whether it's an employment relationship, whether it's a customer relationship, whether it's a partner relationship. What is the minimum amount of information I need in order to manage that relationship? So if I have an employee, for instance, I don't need to know what my employee does on their day off. Maybe that's a nice thing to know because I think well, maybe we can offer them a membership to a gym because they like to work out? That's not a must-have, that's a nice-to-have. And GDPR is going to force must-haves. In order to manage the employment relationship I have to be able to pay you, I have to be able to give you a job, I have to be able to provide benefits, I have to be able to provide performance evaluations and other requirements, but if it's not legally required, I don't need that data. And so it's going to change the way companies think about developing programs, policies, even technology. As they start to think about how they're developing new technology, what data do they need to make this technology work? And technology has actually driven the need for more privacy laws. If you think about IoT, artificial intelligence, Cloud. >> Mobile. >> Absolutely. Great technology, but from a privacy perspective, the privacy was never a part of the planning process. >> In fact, in many respects it was the exact opposite. There were a whole bunch of business models, I mean if you think about it in the technology industry, there's two fundamental business models. There's the ad-based business model, which is, "Give us all your data "and we'll figure out a way to monetize it." >> Absolutely. >> And there's a transaction-based business model which says, "We'll provide you a service "and you pay us, and we promise to do something "and only something with your data." >> Absolutely. >> It's the difference between the way Google and Facebook work, and say, Apple and Microsoft work. SO how is this going to impact these business models in ways of thinking about engaging customers at least where GDPR is the governing model? >> Well, it is going to force a fundamental change in their business model. SO the companies that you mentioned, that their entire business model is based on the collection and aggregation of data, and in some cases, the selling of personal data. >> Some might say screwing you. >> Some might definitely say that, especially if you're a privacy attorney, you might say that. They offer fabulous services and people willingly give up their privacy, that's part of the problem, is that they're ticking the box to say, "I want to use Facebook, I want to use Twitter, "I want to use LinkedIn "because these are great technologies." But, it's the scope-creep. It's what you're doing behind the scenes that I don't know how you're using my data. SO transparency is going to become more and more critical in the business model and that's going to be a cultural, as Paul said, a cultural shift for companies that their entire business model's based on personal data. They're struggling because they're the companies that, no matter what they do, they're going to have to change. They can't just make a simple, change their policy or procedure, they have to change their entire business model to meet the GDPR obligations. >> And I think from, like Shelia says there, and obviously GDPR's very much around, kind of, private data. Well, the conversation we're having with our customers is, is a much wider scope than that, it is all of the data that you own. And it's important, I think, organizations need to stop being fast and loose with the information that they hold because not only is the private information about those people there that, you know, me and you, and that we don't want that necessarily leaked across the well to somebody who might look to exploit that for some other reason. But, that might be, business confidential information, that might be price list, it might be your customer list. And, at the moment, I think in lots of organizations we have a culture where people from top to bottom in an organization don't necessarily understand that. SO they might be doing something where, we had a case in UK recently where some records, security arrangements for Heathrow Airport were found on a bus. So somebody copied them to a USB stick, no encryption, somebody copied it to a USB stick, thought it was okay to take home and leave in the back of, probably didn't think it was okay to leave in the back of the taxi, but certainly thought it was okay to take that information home. And you look at that and think, well, what other business asset that that organization held would they have treated with such disdain, almost to say "I just don't care, this is just ones and zeroes, "why would I care about it?" It's that shift that I think we're starting to see. And I think it's that shift that organizations should have taken a long time ago. We talk to customers, and you hear of events like this all the time, data is the new gold, data is the new precious material of your choice. >> Which it really isn't. It really isn't, here's why I say that because this is the important thing and leads to the next question I was going to ask you. Every asset that's ever been conceived follows the basic laws in economic scarcity. Take gold, you can apply to that purpose, you can make connectors for a chip, or you can use it as a basis for making jewelry or some other purpose. But, data is fungible in so many ways. You can connect it and in many respects, we talked about it a little bit earlier, the act of making it private is, in many respects, the act of turning it into an asset. SO one of the things I want to ask you about, if you think about it, is that, there will still be a lot of net new ways to capture data that's associated with a product or service in a relationship. SO we're not saying that GDPR is going to restrict the role that data plays, it's just going to make it more specific. We're still going to see more IoT, we're still going to see more mobile services, as long as the data that's being collected is in service to the relationship or the product that's being offered. >> Yeah, you're absolutely right. I mean, one of the things that I always say is that, GDPR's intent is not stop organizations from collecting data, data is your greatest asset, you need data to manage any kind of relationship. But, you're absolutely right in what it's going to do is force transparency, so instead of doing things behind the scenes where nobody has any idea what you're doing with my data, companies are going to have to be extremely transparent about it and think about how it's being used. You talked about data monetization, healthcare data today is ten times more valuable than financial data. It is the data that all hackers want. And the reason is, is because you take even aggregate and statistical information through, say trial clinics, information that you think there's no way to tie it back to a person, and by adding just little elements to it, you have now turned that data into greater value and you can now connect it back to a person. SO data that you think does not have value, the more we add to it and the more, sort of, profiling we do, the more valuable that data is going to become. >> But it's even more than that, right? Because not only are you connecting it back to a person, you're connecting it back to a human being. Whereas financial data is highly stylized, it's defined, it's like this transaction defining, and there's nothing necessarily real about it other than that's the convention that we used to for example, do accounting. But, healthcare data is real. It ties back to, what am I doing, what drugs am I taking, why am I taking them, when am I visiting somebody? This is real, real data that provides deep visibility into the human being, who they are, what they face, and any number of other issues. >> Well, if you think about GDPR, too, they expanded the definition of personal data under GDPR. SO it now includes data, like biometric and genetic information that is heavily used in the healthcare industry. It also includes location data, IP information, unique identifiers. SO a lot of companies say, "Well, we don't collect personal data "but we have the unique identifiers." Well, if you can go through any kind of process to tie that back to a person, that's now personal data. SO GDPR has actually the first entry into the digital age as opposed to the old fashioned processing. Where you can now take different aspects of data and combine it to identify a human being, as you say. >> So, I got one more question. This is something of a paradox, sorry for jumping in, but I'm fascinated by this subject. Something of a paradox. Because the act of making data private, at least to the corporation, is an act of creating an asset, and because the rules of GDPR are so much more specific and well thought through than most rules regarding data, does it mean that companies that follow GDPR are likely, in the long run, to be better at understanding, taking advantage of, and utilizing their data assets? That's the paradox. Most people say, "I need all the data." Well, GDPR says, "Maybe you need to be more specific "about how you handle your data assets." What do you think, is this going to create advantages for certain kinds of companies? >> I think it absolutely is going to create advantages in two ways. One, I see organizations that comply with GDPR as having a competitive advantage. Because, number one it goes down to trust. If I'm going to do business with Company A or Company B, I'm going to do business with the company that actually takes my personal data seriously. But, looking' at it from your point of view, absolutely. As companies become more savvy when it comes to data privacy compliance, not just GDPR, but data privacy laws around the world, they're also going to see more of that value in the data, be more transparent about it. But, that's also going to allow them to use the data for other purposes, because they're going to get very creative in how having your data is actually going to benefit you as an individual. SO they're going to have better ways of saying, "But, by having your data I can offer you these services." >> GDPR may be a catalyst for increased data maturity. >> Absolutely. >> Well, I wanna ask you about the cultural shift. We've been talking so much about it from the corporate standpoint, but will it actually force a cultural shift from the customer standpoint, too? I mean, this idea of forcing transparency and having the customer understand why do you need this from me, what do you want? I mean, famously, Europeans are more private than Americans. >> Oh much so. As you've said, "Just click accept, okay, fine, "tell me what I need to know, "or how can I use this website?" >> Well, the thing is that, it's not necessarily from a consumer point of view, but I do think it's from a personal point of view from everybody. SO whether you work inside an organization that keeps data, that's starting to understand just how valuable that data might be. And just to pick up on something, that just to pop at something you were saying before, I think one of the other areas where this has business benefit is that that better and increased management and maturity, actually I think is actually a great way, that better maturity around how we look after our data, has huge impact. Because, it has huge impact in the cost of storing' it, if we want to use Cloud services why am I putting things there that nobody looks at? And then, looking at maintaining this kind of cultural shift that says, "If I'm going to have data in my organization, "I'm no longer going to have it on a USB stick "and leave it in the back of a cab "when it's got security information "of a global major airport on it. "I'm going to think about that "because I'm now starting to understand." And this big drive about, people starting to understand how the information that people keep about you has a potential bigger impact, and it has a potential bigger impact if that data, yeah, we've seen data breach, after data breach after data breach. You can't look at the news any day of the week without some other data breach and that's partly because, a bit like health and safety legislation, GDPR's there because you can't trust all those organizations to be mature enough with the way that we look after our data to do these things. SO legislation and regulations come across and said, "Well, actually this stuff's really important "to me and you as individuals, "so stop being fast and loose with it, "stop leaving it in the back of taxis, "stop letting it leak out your organization "because nobody cares." And that's driving a two-way thing, here, it's partly we're having to think more about that because actually, we're not trusting organizations who are looking after our data. But, as Shelia said, if you become an organization that has a reputation for being good with the way they lock their data, and look after data, that will give you a competitive edge alongside, actually I'm being much more mature, I'm being much more controlled and efficient with how I look after my data. That's got big impact in how I deliver technology and certainly, within a company. Which is why I'm enthusiastic about GDPR, I think it's forcing lots and lots of long-overdue shift in the way that we, as people, look after data, architect technology, start to think about the kind of solutions and the kind of things that we do in the way that we deliver IT into business and enterprise across the globe. >> I think one of the things, too, and Paul brought it up, is he mentioned security several times. And, as Paul knows, one of my pet peeves is when companies say, "We have world-class security, "therefore we're compliant with GDPR." And I go, "Really, so you're basically locking down data "you're not legally allowed to have? That's "what you're telling me." >> Like you said earlier, it's not just about having encryption everywhere. >> Exactly, and it's funny how many companies say "Well, we're compliant with GDPR "because we encrypt the data." And I go, "Well, if you're not legally allowed "to have that data, that's not going to help you at all." And, unfortunately, I think that's what a lot of companies think, that as long as we're looking at the security side of the house, we're good. And they're missing the whole boat on GDPR. >> It's got to be secure. >> It's got to be secure. >> But-- >> You got to legally have it first. >> Exactly. The chicken and the egg. >> But, what's always an issue with security, around data and the stuff that Shelia talked about is quite a lot, is that one of the risks you have, is you can have all the great security in the world but, if the right person with the right access to the right data has all the things that they should have, that doesn't mean that they can't steal that data, lose that data, do something with that data that they shouldn't be doing, just because we've got it secured. SO we need to have policies and procedures in place that allow us to manage that better, a culture that understands the risk of doing those kinds of things, and maybe, alongside technologies that identify, unusual use of data are important within that. >> Well, Paul, Shelia, thank you so much for coming on the show, it's been a fascinating conversation. >> Thank you very much, appreciate it. >> Yeah, thanks for having us on, appreciate it. >> I'm Rebecca Knight for Peter Burris, we will have more from NetApp Insight here in Berlin in just a little bit. (upbeat music)

Published Date : Nov 14 2017

SUMMARY :

Brought to you by NetApp. she is the Chief Privacy Officer of NetApp, the EU's forthcoming laws, GDPR, are going to take effect and business issue as opposed to a technology issue. and just the massive implications of what companies need the terms and conditions are so impossible to understand regardless of the relationship. Does it mean that I, 'cause you now own it, And so, that is going to be a major change for organizations Shelia, you haven't once mentioned technology. being able to remove data when you no longer need to use it, to allow you to do that, but actually, it's much more And their employee's privacy, too, as you pointed out? Well, and part of the difference is going to be the privacy was never a part of the planning process. I mean if you think about it in the technology industry, which says, "We'll provide you a service SO how is this going to impact these business models SO the companies that you mentioned, in the business model and that's going to be a cultural, it is all of the data that you own. SO one of the things I want to ask you about, And the reason is, is because you take even aggregate other than that's the convention that we used to and combine it to identify a human being, as you say. in the long run, to be better at understanding, I think it absolutely is going to create advantages and having the customer understand "tell me what I need to know, that just to pop at something you were saying before, "you're not legally allowed to have? Like you said earlier, "to have that data, that's not going to help you at all." The chicken and the egg. is that one of the risks you have, on the show, it's been a fascinating conversation. I'm Rebecca Knight for Peter Burris, we will have more

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Keith Townsend, The CTO Advisor | AWS re:Invent 2022


 

(upbeat music) >> Hello, beautiful cloud community, and welcome back to AWS reInvent. It is day four here in fabulous Las Vegas, Nevada. My voice can feel it, clearly. I'm Savannah Peterson with my co-host Paul Gillin. Paul, how you doing? >> Doing fine, Savannah. >> Are your feet about where my voice is? >> Well, getting little rest here as we have back to back segments. >> Yeah, yeah, we'll keep you off those. Very excited about this next segment. We get to have a chat with one of our very favorite analysts, Keith Townsend. Welcome back to theCUBE. >> Savannah Page. I'm going to use your south names, Savannah Page. Thank you for having me, Paul. Good to see you again. It's been been too long since CubeCon Valencia. >> Valencia. >> Valencia. >> Well at that beautiful lisp, love that. Keith, how's the show been for you so far? >> It has been great. I tweeted it a couple of days ago. Amazon reInvent is back. >> Savannah: Whoo! Love that. >> 50, 60 thousand people, you know? After 40 thousand, I stop countin'. It has been an amazing show. I don't know if it's just the assignment of returning, but easily the best reInvent of the four that I've attended. >> Savannah: Love that. >> Paul: I love that we have you here because, you know, we tend to get anchored to these desks, and we don't really get a sense of what's going on out there. You've been spending the last four days traversing the floor and talking to people. What are you hearing? Are there any mega themes that are emerging? >> Keith: So, a couple of mega themes is... We were in the Allen session with Adam, and Adam bought up the idea of hybrid cloud. At the 2019 show, that would be unheard of. There's only one cloud, and that's the AWS cloud, when you're at the Amazon show. Booths, folks, I was at the VMware booth and there's a hybrid cloud sign session. People are talking about multicloud. Yes, we're at the AWS show, but the reality that most customers' environments are complex. Adam mentioned that it's hybrid today and more than likely to be hybrid in the future in Amazon, and the ecosystem has adjusted to that reality. >> Paul: Now, is that because they want sell more outposts? >> You know, outpost is definitely a part of the story, but it's a tactile realization that outposts alone won't get it. So, you know, from Todd Consulting, to Capgemini, to PWC, to many of the integrations on the show floor... I even saw company that's doing HP-UX in the cloud or on-prem. The reality is these, well, we've deemed these legacy systems aren't going anywhere. AWS announced the mainframe service last year for converting mainframe code into cloud workloads, and it's just not taking on the, I think, the way that the Amazon would like, and that's a reality that is too complex for all of it to run in the cloud. >> Paul: So it sounds like the strategy is to envelop and consume then if you have mainframe conversion services and HP-UX in the cloud, I mean, you're talking about serious legacy stuff there. >> Keith: You're talking about serious legacy stuff. They haven't de-emphasized their relationship with VMware. You know, hybrid is not a place, it is a operating model. So VMware cloud on AWS allows you to do both models concurrently if you have those applications that need layer two. You have these workloads that just don't... SAP just doesn't... Sorry, AWS, SAP in the cloud and EC2 just doesn't make financial sense. It's a reality. It's accepting of that and meeting customers where they're at. >> And all the collaboration, I mean, you've mentioned so many companies in that answer, and I think it's very interesting to see how much we're all going to have to work together to make the cloud its own operating system. Cloud as an OS came up on our last conversation here and I think it's absolutely fascinating. >> Keith: Yeah, cloud is the OS I think is a thing. This idea that I'm going to use the cloud as my base layer of abstraction. I've talked to a really interesting startup... Well actually it's a open source project cross plane of where they're taking that cloud model and now I can put my VMware vsphere, my AWS, GCP, et cetera, behind that and use that operating model to manage my overall infrastructure. So, the maturity of the market has fascinated me over the past year, year and a half. >> It really feels like we're at a new inflection point. I totally agree. I want to talk about something completely different. >> Keith: Okay. >> Because I know that we both did this challenge. So one of the things that's really inspiring quite frankly about being here at AWS reInvent, and I know you all at home don't have an opportunity to walk the floor and get the experience and get as many steps as Paul gets in, but there's a real emphasis on giving back. This community cares about giving back and AWS is doing a variety of different activations to donate to a variety of different charities. And there's a DJ booth. I've been joking. It kind of feels like you're arriving at a rave when you get to reInvent. And right next to that, there is a hydrate and help station with these reusable water bottles. This is actually firm. It's not one of those plastic ones that's going to end up in the recycled bin or the landfill. And every single time that you fill up your water bottle, AWS will donate $3 to help women in Kenya get access to water. One of the things that I found really fascinating about the activation is women in sub-Saharan Africa spend 16 million hours carrying water a day, which is a wild concept to think about, and water is heavy. Keith, my man, I know that you did the activation. They had you carrying two 20 pound jugs of water. >> Keith: For about 15 feet. It's not the... >> (laughs) >> 20 pound jugs of water, 20 gallons, whatever the amount is. It was extremely heavy. I'm a fairly sizeable guy. Six four, six five. >> You're in good shape, yeah. >> Keith: Couple of a hundred pounds. >> Yeah. >> Keith: And I could not imagine spending that many hours simply getting fresh water. We take it for granted. Every time I run the water in the sink, my family gets on me because I get on them when they leave the sink water. It's like my dad's left the light on. If you leave the water on in my house, you are going to hear it from me because, you know, things like this tickle in my mind like, wow, people walk that far. >> Savannah: That's your whole day. >> Just water, and that's probably not even enough water for the day. >> Paul: Yeah. We think of that as being, like, an 18th century phenomenon, but it's very much today in parts of Sub-Saharan Africa. >> I know, and we're so privileged. For me, it was just, we work in technology. Everyone here is pretty blessed, and to do that activation really got my head in the right space to think, wow I'm so lucky. The team here, the fabulous production team, can go refill my water bottle. I mean, so simple. They've also got a fitness activation going on. You can jump on a bike, a treadmill, and if you work out for five minutes, they donate $5 to Fred Hutch up in Seattle. And that was nice. I did a little cross-training in between segments yesterday and I just, I really love seeing that emphasis. None of this matters if we're not taking care of community. >> Yeah, I'm going to go out and google Fred Hutch, and just donate the five bucks. 'Cause I'm not, I'm not. >> (laughs) >> I'll run forever, but I'm not getting on a bike. >> This from a guy who did 100 5Ks in a row last year. >> Yeah. I did 100 5Ks in a row, and I'm not doing five minutes on a bike. That's it. That's crazy, right? >> I mean there is a treadmill And they have the little hands workout thing too if you want. >> About five minutes though. >> Savannah: I know. >> Like five minutes is way longer than what you think it is. >> I mean, it's true. I was up there in a dress in sequence. Hopefully, I didn't scar any anyone on the show floor yesterday. It's still toss up. >> I'm going to take us back to back. >> Take us back Paul. >> Back to what we were talking about. I want to know what you're hearing. So we've had a lot of people on this show, a lot of vendors on the show who have said AWS is our most important cloud partner, which would imply that AWS's lead is solidifying its lead and pulling away from the pack as the number one. Do you hear that as well? Or is that lip service? >> Keith: So I always think about AWS reInvent as the Amazon victory lap. This is where they come and just thumb their noses at all the other cloud providers and just show how far ahead they're are. Werner Vogels, CTO at Amazon's keynotes, so I hadn't watched it yet, but at that keynote, this is where they literally take the victory lap and say that we're going to expose what we did four or five years ago on stage, and what we did four or five years ago is ahead of every cloud provider with maybe the exception of GCP and they're maybe three years behind. So customers are overwhelmingly choosing Amazon for these reasons. Don't get me wrong, Corey Quinn, Gardner folks, really went at Adam yesterday about Amazon had three majors outages in December last year. AWS has way too many services that are disconnected, but from the pure capability, I talked to a born in the cloud data protection company who could repatriate their data protection and storage on-prem private data center, save money. Instead, they double down on Amazon. They're using, they modernize their application and they're reduced their cost by 60 to 70%. >> Massive. >> This is massive. AWS is keeping up with customers no matter where they're at on the spectrum. >> Savannah: I love that you use the term victory lap. We've had a lot of folks from AWS here up on the show this week, and a couple of them have said they live for this. I mean, and it's got to be pretty cool. You've got 70 thousand plus people obsessed with your product and so many different partners doing so many different things from the edge to hospital to the largest companies on earth to the Israeli Ministry of Defense we were just talking about earlier, so everybody needs the cloud. I feel like that's where we're at. >> Keith: Yeah, and the next step, I think the next level opportunity for AWS is to get to that analyst or that citizen developer, being able to enable the end user to use a lambda, use these data services to create new applications, and the meanwhile, there's folks on the show floor filling that gap that enable develop... the piece of owner, the piece of parlor owner, to create a web portal that compares his prices and solutions to other vendors in his area and adjust dynamically. You go into a restaurant now and there is no price menu. There's a QR code that Amazon is powering much of that dynamic relationship between the restaurateur, the customer, and even the menu and availability. It's just a wonderful time. >> I always ask for the print menu. I'm sorry. >> Yeah. You want the printed menu. >> Look down, my phone doesn't work. >> Gimme something I could shine my light on. >> I know you didn't have have a chance to look at Vogel's keynote yet, but I mean you mentioned citizen developer. One of the things they announced this morning was essentially a low code lambda interface. So you can plug, take your lamb dysfunctions and do drag and drop a connection between them. So they are going after that market. >> Keith: So I guess I'll take my victory lap because that was my prediction. That's where Amazon's next... >> Well done, Keith. >> Because Lambda is that thing when you look at what server list was and the name of the concept of being, not having to have to worry about servers in your application development, the logical next step, I won't take too much of a leap. That logical first step is, well, code less code. This is something that Kelsey Hightower has talked about a lot. Low code, no code, the ability to empower people without having these artificial barriers, learning how to code in a different language. This is the time where I can go to Valencia, it's pronounced, where I can go to Valencia and not speak Spanish and just have my phone. Why can't we do, at business value, for people who have amazing ideas and enable those amazing ideas before I have to stick a developer in between them and the system. >> Paul: Low-code market is growing 35% a year. It's not surprising, given the potential that's out there. >> And as a non-technical person, who works in technology, I've been waiting for this moment. So keep predicting this kind of thing, Keith. 'Cause hopefully it'll keep happening. Keith, I'm going to give you the challenge we've been giving all of our guests this week. >> Keith: Okay. >> And I know you're going to absolutely crush this. So we are looking for your 32nd Instagram real, sizzle hot take, biggest takeaway from this year's show. >> So 32nd Instagram, I'll even put it on TikTok. >> Savannah: Heck yeah. >> Hybrid cloud, hybrid infrastructure. This is way bigger than Amazon. Whether we're talking about Amazon, AWS, I mean AWS's solutions, Google Cloud, Azure, OCI, on-prem. Customers want it all. They want a way to manage it all, and they need the skill and tools to enable their not-so-growing work force to do it. That is, that's AWS reInvent 2019 to 2022. >> Absolutely nailed it. Keith Townsend, it is always such a joy to have you here on theCUBE. Thank you for joining us >> Savannah Page. Great to have you. Paul, you too. You're always a great co-host. >> (laughs) We co-hosted for three days. >> We've got a lot of love for each other here. And we have even more love for all of you tuning into our fabulous livestream from AWS reInvent Las Vegas, Nevada, with Paul Gillin. I'm Savannah Peterson. You're watching theCUBE, the leader in high tech coverage. (upbeat music)

Published Date : Dec 1 2022

SUMMARY :

Paul, how you doing? as we have back to back segments. We get to have a chat Good to see you again. Keith, how's the show been for you so far? I tweeted it a couple of days ago. Savannah: Whoo! of the four that I've attended. and talking to people. and that's the AWS cloud, on the show floor... like the strategy is to Sorry, AWS, SAP in the cloud and EC2 And all the collaboration, I mean, This idea that I'm going to use the cloud I want to talk about something One of the things that I It's not the... I'm a fairly sizeable guy. It's like my dad's left the light on. that's probably not even of that as being, like, in the right space to and just donate the five bucks. but I'm not getting on a bike. 100 5Ks in a row last year. and I'm not doing five minutes on a bike. if you want. than what you think it is. on the show floor yesterday. as the number one. I talked to a born in the at on the spectrum. on the show this week, Keith: Yeah, and the next step, I always ask for the print menu. Gimme something I One of the things they because that was my prediction. This is the time where It's not surprising, given the Keith, I'm going to give you the challenge to absolutely crush this. So 32nd Instagram, That is, that's AWS reInvent 2019 to 2022. to have you here on theCUBE. Great to have you. We co-hosted for three days. And we have even more love for all of you

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Megan Buntain, Seeq | AWS Marketplace Seller Conference 2022


 

>>Hello everyone. I'm John furry with the cube. We're here, live on the ground in Seattle, Washington at the Bellevue Hilton for thes marketplace seller conference. It's kind of like the one and a half inaugural event. They have their first event in 2019, and now with the pandemic, they're re rebooting it, but it's really all about AWS's marketplace and partner network coming together, creating an experience for how people will be buying software and how people will be selling through with their ecosystem. I'm Jennifer, the cube we're here with Megan. Fontain, who's the VP of cloud seek. Who's a seller and partner of AWS making great to see you. Thanks for coming on the cube. >>Thank you so much. It's, it's nice to be back in person and it's great to be with you. >>So watching the progression of how Amazon web services is evolving the marketplace and the partner network, you're starting to see some patterns. One is, I'll say they have their own stuff, and they're addressing that in the room, but they're really letting the thousand flowers bloom in the ecosystem. You hear that every year reinvent, even when Andy Jesse who's now the CEO of Amazon would say, no, we want the best of breed. Best product wins. Adam. Celeste's the same view, new leadership here, the combination of APN partner network with the marketplace now partner organization, APO is the big news. They're open. They're building an API service layer between their old marketplace to create this new model here. What's your, what's your, what's your take? What's your seller view? >>Yeah, so our marketplace and APN journey started with AWS about three years ago. And I think something that was the most profound to me out of the keynote this morning was that Chris Gus, who runs the API organization for ISVs talked about marketplace as the automation layer for how AWS will partner going forward. So an independent software vendor likes, we see that as opening up the door for two things. One, we get to leverage the great global scale and platform of AWS, but then secondly, it really brings together this idea that we will sell together to the end customer through the marketplace. And we will also sell as partners through co-sell and APM. >>You know, I love these kind of new, new development models around channel partners, ISVs at the end of the day, buyers are buying software. Yes. And they're cloud they're on a cloud journey. You're the VP of cloud at the company, your company seek take a minute to explain what your company's known for, what you guys do, your relationship with the market. You're an ISV. Yeah. Where are you guys? Cuz you guys ha have a good thing going on here. What do you guys do? What are you known for >>Sure. So seek is market leading software for advanced analytics for the manufacturing industry. So we're squarely in that industry. ISV, we sell SAS solutions to business buyers who want two things. One is they want technology that they can deploy quickly in their organizations drive that great business value ROI that drives the next level of investment in technology seeks unique offering in marketplace is that we've solved a lot of the challenges around that operational data in manufacturing. So manufacturing the industry, it's going through massive transformation, supply chain, disruption, or coming out of that, the globalization of manufacturing. And yet they have data that they've stored for 20, 30 years, that they're still in the first generation of trying to gain insights from. So that's why seek exists. It's really to bring the insights outta that data and then help the manufacturing customers we work with. Get to the cloud. >>What's interesting. I like your perspective and I want to follow up on that because data analytics used to be this thing. Well, I got a database. Yeah. You hosted on some storage and you got structured data, unstructured data. Okay. You got scale. But now you've got data platforms. You've got data mesh. I think Gardner actually has a different term, but gets a whole nother conversation. Data platforms are diverse. Yeah. They're pervasive. They're part of core infrastructure in cloud. It's not like a point solution anymore. It's gotta be integrated and customers are trying to work on, this is one of the hardest problems today. Yeah. In cloud transformation is the data layer, the relationship to other services. Yeah. >>So the Dataverse common data models. How APIs will interact with data. The trend there though is something that it is the ecosystem that will bring value to customers because no database is gonna serve every need. Right. And you think about the data layer. It really has to solve the problems whereby any application, any user, any insight can be generated almost seamlessly. And we're really on the first wave of that journey. But I think a, an element for seek that we certainly understand with our customers is that data alone is not an end objective, right? If it doesn't lead to a decision and an action and a workflow that humans can take to go drive and improvement in their business process, then you haven't tapped into the, you know, value of that technology >>When a buyer comes to the marketplace. Yeah. And they see your listing and solutions. Yes. What are they getting? What are they, what, what are they buying? >>So for seek, we've radically simplified that we, we really embrace this idea of simplification. We just sell, seek. So we have one seat listing in the AWS marketplace, all applications of seek they're all available there. We really leaned into the enterprise procurement models. So private offers are how we do the most of our business on marketplace. And it really went from a stage of experimentation where couple of customers, you know, what is this marketplace? Maybe we'll buy a few of our business applications there all the way through to now we're starting to see the demand side come through for customers where it's not just their security software or their DevOps or infrastructure software. They wanna buy solutions like seek including line of business buyers through a common catalog in the marketplace. >>Great. So I wanna ask you, cuz I want to give you the opportunity to give the pitch, the customer watching right now. Yeah. What's the pitch. Why seek, why this listing? Why should they hit the purchase button? I wish it was that easy. Why should they, why should they what's the pitch? Sure. >>So the first thing is seek through marketplace is a five clicks on three screens procurement experience. So compare that to months and months of back and forth with contracts and purchase orders and vendor set up, this is five less than five minutes, few screens, couple of clicks. And you can buy a multi-year subscription of seek to cover your entire enterprise. The second pitch is that it's a SaaS application that now can be deployed within hours. And then your users, your insights, your value is starting within the first couple hours. This is not a heavy lift it project. That's gonna take months. And then lastly seek specifically. So seek, because we're validated in the marketplace has been well architected for AWS cloud. We have that, you know, stamp of credibility. And we are leading in this space for manufacturing organizations who want cloud native secure software for analytics on their operational data. >>That's awesome. And customers have the challenge when they think about data, the use case security, yes governance, there's a variety of different use cases. What are you seeing as the top three use cases for C? >>So on the there's two lines of that question. The first is really the line of business use cases. And those are all about what outcome are we gonna drive? Are we gonna approve efficiency in your factory? Are we gonna reduce greenhouse gas emissions? Those are the kinds of use cases on the business side that that seek works with our customers on, on the it side. They wanna know that we can access data securely, that we can be part of an ecosystem where they can bring in aerations and algorithms and machine learning and new applications. And they also wanna know that we are sustainable. So meaning that we're driving constant innovation that is easy for them to consume and to gain access, to, to drive the next level of >>Improvement. My final AWS marketplace seller question is, yeah. How does the procurement process through marketplace help you and your customers what's in it for them? What value do the, does the customer get going through AWS procuring? >>So there's really really three. The first is you get a validated set of a catalog of solutions, right? That AWS says, you know, we undergo a rigorous process technically and commercially to be in the marketplace. The second thing for procurement effect of for procurement professionals is that they can leverage their cloud committed spend with AWS. So as they commit more expense and spend with AWS, now these marketplace purchases can be credited to that committed expense. We found that brings it and the business together with procurement to really work more collectively on that. And then the third piece is, imagine buying software where you don't need legal, you know, back and forth, back and forth because we're using a standard doula that thousands of other software companies are using in the marketplace today. >>I thought the keynote had a great line. We are not just a website of a catalog. We are a API service layer. Yes. With automation, more like a C I C D pipe lining. Yes. Of software. Yeah. And we are hearing more and more about software supply chain, more about scaling. This is kind of the future of procurement. Why wouldn't you buy direct, pick a few buttons and assemble your solutions at scale. >>There's some amount of tenant consequences that we've really learned as well. It brings it and the business closer together. So the it person wants to know, well, what is this seek, you know, piece of my AWS invoice. And so they get more engaged earlier in the process with procurement, with the business. And we've actually found that it brings internally for our customers, more people to the seat at the table around what are the applications and how will they govern them across the enterprise. >>Megan, I really appreciate you taking the time to speak with me here at the, at the conference, the seller S marketplace. I have to ask you, we were talking before we came on camera, you made a comment. I'd like you to share this comment with some commentary. You said I'm the VP of cloud transformation. And in the future that might title might not exist. Explain what you mean there, cuz I think this is kind of a telling moment about where we are at this point in the industry. >>Sure. So maybe it's, maybe it's funny to sort of envision a future where your role doesn't exist. But I think, you know, it's a to innovators do that, right? And for us we're a software company. That's going through the transition on-prem to SAS, you know, cloud native sets of applications, but in the pretty near term fore, really the next two years, all of our business will be SaaS and cloud. And so we won't need a separate VP or a separate team or separate function. It will just be how the business operates. >>Megan, thanks for running cue, Meghan bine, who is SI, she's a cloud VP of cloud transformation, VP of cloud, and she's successful. The title will go away and she'll move on to some other great valuable things like running the business. Thanks for coming on. Thank you so much. Okay. This is a cube here in Seattle. We're covering the eights marketplace seller conference. Part of APN merging with Amazon marketplace now called the APO Amazon partner organization. I'm John ER, with the cube. Thanks for watching.

Published Date : Sep 21 2022

SUMMARY :

I'm Jennifer, the cube we're here with Megan. It's, it's nice to be back in person and it's great to be with you. new leadership here, the combination of APN partner network with And we will also sell as partners through co-sell You're the VP of cloud at the company, your company seek take a minute to explain what your So manufacturing the industry, it's going through massive transformation, supply chain, is the data layer, the relationship to other services. So the Dataverse common data models. And they see your listing and solutions. the way through to now we're starting to see the demand side come through for customers where it's not just their What's the pitch. So the first thing is seek through marketplace is a five And customers have the challenge when they think about data, the use case security, So on the there's two lines of that question. process through marketplace help you and your customers what's in it for them? We found that brings it and the business together with procurement to really work more This is kind of the future of procurement. So the it person wants to know, well, what is this seek, And in the future that might title might not exist. to SAS, you know, cloud native sets of applications, but in the pretty We're covering the eights marketplace seller conference.

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Steve Kenniston, The Storage Alchemist & Tony Bryston, Town of Gilbert | Dell Technologies World 202


 

>>The cube presents, Dell technologies world brought to you by Dell. >>Welcome back to Dell technologies, world 2022. We're live in Vegas. Very happy to be here. Uh, this is the cubes multi-year coverage. This is year 13 for covering either, you know, EMC world or, uh, Dell world. And now of course, Dell tech world. My name is Dave Volante and I'm here with longtime Cub alum cube guest, Steve Kenon, the storage Alchemist, who's, uh, Beckett, Dell, uh, and his data protection role. And Tony Bryson is the chief information security officer of the town of Gilbert town in Arizona. Most, most towns don't have a CISO, but Tony, we're a thrilled, you're here to tell us that story. How did you become a CISO and how does the town of Gilbert have a CISO? >>Well, thank you for having me here. Uh, believe it or not. The town of Gilbert is actually the fourth largest municipality in Arizona. We serve as 281,000 citizens. So it's a fairly large enterprise. We're a billion dollar enterprise. And it got to the point where the, uh, cybersecurity concerns were at such a point that they elected to bring in their first chief information security officer. And I managed to, uh, be the lucky gentleman that got that particular position. >>That's awesome. And there's a, is there a CIO as well? Are you guys peers? Do you, how what's the reporting structure look like? >>We have a chief technology officer. Okay. I report through his office mm-hmm <affirmative> and then he reports, uh, directly to the town executive. >>So you guys talk a lot, you I'm sure you present a lot to the, to the board or wherever the governance structure is. Yeah, >>We do. I, I do quarterly report outs to the, I report through to the town council. Uh, let them know exactly what our cyber security posture is like, the type of threats that we're facing. As a matter of fact, I have to do one when I return to, uh, Gilbert from this particular conference. So really looking forward to that one, cuz this is an interesting time to be in cyber security. >>So obviously a sea. So Steve is gonna say, cyber's the number one priority, but I would say the CTO is gonna say the, say the same thing I would say the board is gonna say the same thing. I would also say Steve, that, uh, cyber and cyber resilience is probably the number one topic here at the show. When you walk around and you see the cyber demonstrations, the security demonstrations, they're packed, it's kind of your focus. Um, it's a good call. >>Yeah. <laugh> I'm the luckiest guy in storage, right? <laugh> um, yeah, there hasn't I in the last 24 months, I don't think that there's been a, a meeting that I've been to with a customer, no matter who's in the room where, uh, cyber resiliency, cybersecurity hasn't come up. I mean, it is, it is one of the hot topics in last night. I mean, Michael was just here. Uh, Michael Dell was just here last night. He came into the showroom floor, he came back, he took a look at what we were offering for cyber capabilities and was impressed. And, and so, so that's really good. >>Yeah. So I noticed, you know, when I talked to a lot of CIOs in particular, they would tell me that the pre pandemic, their cyber resiliency was very Dr. Focused, right. They really, it really wasn't an organizational resilience. It was a, if there's an oh crap moment, they could get it back in theory. And they sort of rethought that. Do you see you that amongst your peers, Tony? >>I think so. I think that people are quickly starting to understand that you just can't focus on, in, on protecting yourself from something that you think may never happen. The reality is that you're likely to see some type of cyber event, so you better be prepared for it. And you protect yourself against that. So plan for resiliency plan with making sure that you have the right people in place that can take that challenge on, because it's not a matter of if it's a matter of when >>I would imagine. Well, Steve, you and I have talked about this, that, you know, the data protection business used to be, we used to call it backup in recovery and security, which is a whole different animal, but they're really starting to come together. It's kind of an Adjay. I, I know you've got this, uh, Maverick report that, that you want to talk about. What, what is that as a new Gartner research? I, I'm not familiar with it. >>Yeah. So it's some very interesting Gartner research and what I think, and I'd be curious to, Tony's take on, especially after that last question is, you know, a lot of people are, are spending a lot of money to keep the bad actors out. Right. And Gardner's philosophy on this whole, um, it's, it's, you're going to get hacked. So embrace the breach, that's their report. Right. So what they're suggesting is you're spending a lot of money, but, but we're witnessing a lot of attacks still coming in. Are you prepared to recover that when it happens? Right. And so their philosophy is it's time to start thinking about the recovery aspects of, you know, if, if they're gonna get through, how do you handle that? Right. >>Well, so you got announcements this week, big one of the big four, I guess, or big five cyber recovery vault. It's been, you're enhancing that you guys are talking things like, you know, air gaps and so forth. Give us the overview of the news there. >>Yeah. So there's, uh, cyber recovery vault for AWS for the cloud. There is, uh, a lot of stuff we're doing with, uh, cyber recovery vault for, uh, Aw, uh, Azure also, right along with the cyber sense technology, which is the technology that scans the data. Once it comes in from the backup to ensure that it clean and can be recovered and you can feel confident that your recoveries look good, right? So now, now you can do that OnPrem, or you can do it through a colo. You can do it with in the cloud, or you can, uh, ask Dell technologies with our apex business services to help provide cyber recovery services wherever for you at your co at yet OnPrem or for you from the cloud. So it's kind of giving the customer, allowing them to keep that freedom of choice of how they want to operate, but provide them those same recovery capabilities. >>So Tony, give us paint us a picture without giving away too much for the bad guys. How, how you approach this, maybe are you using some of these products? What's your sort of infrastructure look like? >>Yeah. Without giving away the state secrets, um, we are heavily invested in the cyber recovery vault and cyber sense. Uh, it plays heavily in our strategy. We wanna make sure we have a safe Harbor for our data. And that's something that, that the Dell power protect cyber recovery vault provides to us. Uh, we're exceptionally excited about the, the development that's going on, especially with apex. We're looking at that, and that has really captured our imagination. It could be a game changer for us as a town because we're, we're a small organization transitioning to a midsize organization and what apex provides and what the Dell cyber recovery vault provides to us. Putting those two together gives us the elasticity we need as a small organization to expand quickly and deal with our internal data concerns. >>So cyber recovery as a service is what you're interested in. Let me ask you a question. Are you interested in a managed service or are you interested in managing it yourself? >>That's a great question, personally. I would prefer that we went with managed services. I think that from a manager's perspective, you get a bigger bang for the buck going with managed services. You have people that work with that technology all the time. You don't have to ramp people up and develop that expertise in house. You also then have that peace of mind that you have more people that are doing the services and it acts as a force multiplier for you. So from a dollar and cents perspective, it's the way that you want to go. When I start talking to my internal people, of course, there's that, that sense of fear that comes with the unknown and especially outsourcing that type of critical infrastructure, the there's some concern there, but I think that with education, with exposure, to some of the things that we get from the managed service, it makes sense for everybody to go that >>Route and, and you can, I presume sort of POC it and then expand it and then get more comfortable with it and then say, okay, when it's hardened and ready now, this is the, the Def facto standard across the organization. >>I suspect we'll end up in a hybrid environment to begin with where we'll some assets on site, and then we'll have some assets in the cloud. And that's again, where apex will be that, that big linchpin for us and really make it all work. How >>Important are air gaps? >>Oh, they're incredibly, incredibly, uh, needed right now. You cannot have true data of security without having an air gap. A lot of the ransomware that we see moves laterally through your organization. So if you have, uh, all your data backed up in the same data center that your, your backups and your primary data sources are in odds are they're all gonna get owned at the same time. So having that air gap solution in there is critical to having the peace of mind that allows the CISO to sleep at night. >>I always tell my crypto and NFT readers, this doesn't apply to data centers. You gotta air back air, air gap, your crypto, you know, when you're NFT. So how do you guys Steve deal with, with air gap? Can you explain the solutions? >>So in the, in the cyber recovery vault itself, it is driven through, uh, you've got one, uh, power protect, uh, appliance on one, one side in your data center, and then wherever your, your, your vaulted area is, whether it be a colo, whether it be on pre wherever it might be. Uh, we create a connection between between the two that is one directional, right? So we send the data to that vault. We call it the vault and, you know, we replicate a copy of your backup data. Once it lives over there, we make a copy of that data. And then what we do is with the cyber sense technology that Tony was talking about, we scan that data and we validate it against, with a whole cyber sense is built on IML machine learning. We look at a couple hundred different kind of profiles that come through and compare it to the, to the day before as backup and the day before that and understand kind of what's changing. >>And is it changing the right way? Right? Like there might be some reasons it it's supposed to change that way. Right. But things that look anomalous, we send up a warning when we let the people know that, you know, whoever's monitoring, something's going on. You might want to take a look. And then based on that, if there's whatever's happening in the environment, we have the ability to then recover that data back to the, to the original system. You can use the vault as a, as a clean room area, if you want to send people to it, depending on kind of what's going on in, in, in your main data center. So there's a lot of things we do to protect that. Do >>You recommend, like changing the timing of when you take, you know, snapshots or you do the same time every day, it's gotta create different patterns or >>I'll tell you that's, that's one thing to keep the, keep the hackers on their tow, right? It it's tough to do operationally, right? Because you kind that's processes. But, but the reality is if you really are that, uh, concerned about attacks, that makes a lot of sense, >>Tony, what's the CISOs number one challenge today? >>Uh, I, it has to be resilience. It has to be making sure your organization that if or when they get hit, that you're able to pick the pieces back up and get the operation back up as quickly and efficiently as possible. Making sure that the, the mission critical data is immediately, uh, recoverable and be able to be put back into play. >>And, and what's the biggest challenge or best practice in terms of doing that? Obviously the technology, the people, the process >>Right now, I would probably say it's it's people, uh, we're going through the, the, um, a period of, of uncertainty in the marketplace when it comes to trying to find people. So it is difficult to find the right people to do certain things, which is why managed services is so important to an organization of our size and, and what we're trying to do, where we are, are incorporating such big ideas. We need those manager services because we just can't find the bodies that can do some of this work. >>You got an interesting background, you a PhD in psychology, you're an educator, you're a golf pro and you're a CISO. I I've never met anybody like you, Tony <laugh>. So, thanks for coming on, Steve, give you the last word. >>Well, I think I, I think one of the things that Tony said, and I wanted to parlay this a little bit, uh, from that Gartner report, I even talked about people is so critical when it comes to cyber resiliency and that sort of thing. And one of the things I talked about in that embraced the breach report is as you're looking to hire staff for your environment, right, you wanna, you know, a lot of people might shy away from hiring that CSO that got fired because they had a cyber event. Right, right. Oh, maybe they didn't do their job. But the reality is, is those folks, because this is very new. I mean, of course we've been talking about cyber for a couple of years, but, but getting that experience under your belt and understanding what happens in the event. I mean, there are a lot of companies that run things like cyber ranges, resiliency, ranges to put people through the paces of, Hey, this is what have happens when an event happens and are you prepared to respond? I think there's a big set of learning lessons that happens when you go through one of those events and it helps kind of educate the people about what's needed. >>It's a great point. Failure used to mean fire right in this industry. And, and today it's different. The adversary is very well armed and quite capable and motivated that learning even during, even when you fail, can be applied to succeed in the future or not fail, I guess there's no such thing as success in your business. Guys. Thanks so much for coming on the cube. Really appreciate your time. Thank you. Thanks very >>Much. >>All right. And thank you for watching the cubes coverage of Dell tech world 2022. This is Dave Valenti. We'll be back with John furrier, Lisa Martin and David Nicholson. Two days of wall to wall coverage left. Keep it with us.

Published Date : May 3 2022

SUMMARY :

This is year 13 for covering either, you know, EMC world or, uh, Dell world. Well, thank you for having me here. Are you guys peers? I report through his office mm-hmm <affirmative> and then he reports, So you guys talk a lot, you I'm sure you present a lot to the, to the board or wherever the governance structure is. As a matter of fact, I have to do one when I return to, uh, So Steve is gonna say, cyber's the number one priority, I mean, it is, it is one of the hot topics in last night. Do you see you that amongst your peers, Tony? I think that people are quickly starting to understand that you just can't focus Well, Steve, you and I have talked about this, that, you know, the data protection business used to be, especially after that last question is, you know, a lot of people are, are spending a lot of things like, you know, air gaps and so forth. So it's kind of giving the customer, allowing them to keep that freedom of How, how you approach this, that the Dell power protect cyber recovery vault provides to us. Are you interested in a managed service or are you interested in it's the way that you want to go. Route and, and you can, I presume sort of POC it and then expand it and then get more comfortable I suspect we'll end up in a hybrid environment to begin with where we'll some assets on So if you have, uh, all your data backed up in the same data center that your, So how do you guys Steve deal with, with air gap? you know, we replicate a copy of your backup data. if you want to send people to it, depending on kind of what's going on in, in, in your main data center. But, but the reality is if you really are that, uh, concerned about attacks, Uh, I, it has to be resilience. the right people to do certain things, which is why managed services is so important to an organization You got an interesting background, you a PhD in psychology, you're an educator, I think there's a big set of learning lessons that happens when you go through one of those events that learning even during, even when you fail, can be applied to succeed in the And thank you for watching the cubes coverage of Dell tech world 2022.

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Toby Yu, KPMG | Coupa Insp!re 2022


 

>>Hey guys, and gals. Welcome back to Las Vegas. Lisa Martin here at Coupa inspire 2022 with about 2,500 folks. Very excited to be back in person. I can assure you that is the vibe that is here to be. You joins me next to the managing director at KPMG Toby. It's great to have you on the program. >>Thanks. It's great to be here. >>Isn't it great to be back? I know it feels so normal. We were talking before we went live, that it feels normal. >>It does. It does. And it feels great. And after a great kickoff with, uh, with Rob >>Fantastic, Rob Bernstein has, and Barbara Corcoran, Rob has probably the highest energy of a CEO that I've ever gotten to work with. So you always know you're in for a good high energy conversation. Then Barbara Corcoran coming in, Jon Taffer with bar rescue is it's a, been a great morning so far. So you let's talk about you, you specialize in digital transformation within the procurement and the contract management spaces. Talk to me a little bit about that. >>Yeah, absolutely. You know, I, uh, I love helping folks to re-imagine their, uh, operating models to solve today's challenges. And there are so many challenges coming out in this post COVID world, um, that many of our clients are dealing with. And, and I'm never short on phone calls and, you know, uh, from, from my clients reaching out for help, um, to really figure out how to retool, um, and, and, and really help themselves to transform, to be able to address the, the, the changes to come. >>I heard a really smart description of the last two years today, compressed transformation. We've been talking about digital transformation for years, and then we've also been talking about it's acceleration during the COVID era, but the compressed transformation, I thought that's probably something that's here to stay. Nobody's going to want access to older, less data slower. >>Yep. >>They're just not >>A hundred percent. What >>Are some of the trends that you've observed in your role in the last couple of years? >>Yeah, I, I absolutely believe that folks that took advantage of that digital transformation pre pandemic have actually been able to fare much better than those that have held off on those investments. Um, for whatever reasons, you know, there are always different priorities, but those that have actually gotten that journey started, um, pre pandemic have definitely fared, uh, for, well, I think the trends that I'm seeing today, the CPO's challenge, um, and there are many challenges, um, but you know, the, you know, coming out of the, uh, post COVID era, you are now recovering and ramping up production as a result, your buying activities increasing, right. Um, and, and other ways other than increasing, um, activity. There's also the changing of requirements. So, you know, the folks in the front office are looking at new technologies to innovate new products and services, and that's going to change what the, the mix of the skills and resources that you need in the back office. >>Um, in addition to that, um, there are other requirements like ESG. And so as you're thinking about retooling and being able to, um, buy more sustainably or drive diversity, um, with the spend that you have, that's also changing the skill mix that you have. And I think on top of speak, uh, on top of that, um, the skills and the talent, we are dealing with the, a unfortunate situation that many companies are with the, uh, you know, the great resignation where the talent is, has as quickly exited the workforce. Um, and, uh, and, and with the demand increasing and changing, that puts everyone in a tough spot. And so those are really the big challenges that I've seen with the clients. Most recently, as we're coming out of COVID >>Of your customer conversations, escalated up the C-suite you talk, you mentioned the chief procurement officer. If we think of every company, these days has to be a data company to be successful. If they're not, they're probably not going to be around. Are you noticing that from a supply chain perspective within procurement and contract management, is that escalating the C-suite to be much more of a C-suite or board level initiative? >>Absolutely. Absolutely. I think what folks have realized in many of their, even the earlier digital transformation efforts, it was very geared around automating and streamlining transactions and processes, not so much putting data at the core. Yes, you would get intelligence out of that, but we hadn't architected your entire organization around data and good quality data and what is needed, um, to be able to actually translate that data to meaningful insights, to make the decisions or drive, um, visibility within to your, into your supply chain. Um, so when you think about things that are, um, such as ESG, where you really need to know, um, your tier one, tier two tier three suppliers, and all the impacts that that has, um, in order to drive to those, um, ESG objectives that you're telling your investors, you're telling your customers, and you're telling your, um, your employees about it's very important. You have to be centered around data and be able to be able to see their entire supply chain. And if you weren't, if you weren't architected to do so, doing it as an afterthought is very costly because you've already made those investments >>Very costly. And also, I mean, from a business perspective, I think, you know, we, we talk so often Toby and you probably do as well about it, business alignment. It's one of those, it's like digital transformation. It's almost a buzzword if you will, but it's critical because I'm seeing a lot of data and research from, from folks like Gardner that are showing that massive percentages of businesses believe that the technology is really the driver and the fuel of the business going forward. So no longer can it and lines of business be separated. >>Yeah, I, I totally agree. I actually think that when I mentioned about new skills, if you think about the next generation and the new operating models, um, uh, you know, the, the, the new folks coming out of college have to have that skill set because process and technology are, are, are completely linked. Um, and I think that the organizations, the future and the sick, the most successful ones will know how to actually be more human centric and be able to harness the data through the technologies. So I'll actually allow you and I to do what we do best, right, which is collaborate and negotiate deals work on our relationship versus focused on the technology or entering data into forms and all the administrative components that, uh, many of my clients are plagued with today, >>Collaboration, I think has maybe become even more important in the last two years that we've been so limited about how to collaborate. Thankfully, we have a lot of technologies to do that, but when I think of Coupa collaboration, community are two words that jump out. Talk to me a little bit about from an, a partnership perspective alignment there with the collaborative spirit at KPMG. >>Yeah, absolutely. Um, you know, for, for us, uh, I recently just presented on a very similar topic that nothing great in business is done by a single person. And it takes partners to be able to drive the innovation needed to solve the new challenges of tomorrow. And, and I see our relationship with that. You know, they offer a platform, they offer a method to get access to the data and simplify it in a way for our clients so that they can focus on the relationships and driving the collaboration with their suppliers. And, and I think that that's, that's the thought leadership, uh, in partnership with, uh, with them that we'd like to bring to the table. >>Speaking of alignment between KPMG and Qubit. Talk to me a little bit about ESG as, as sort of a new initiative within KPMG. Talk to me a little bit about that. And what's some of the high level objectives are >>Absolutely. Um, I wouldn't say that it's, it's, it's new. I think it's always been there and there's always been a focus, but I think the recent events and with the regulatory environment changing as well, and as with consumers, consumer behavior, driving and investor community driving towards, um, uh, ESG, I think that is quickly changing how companies are prioritizing that within the Mo amongst everything else that they have. And as a result, I think the CPO's role in that equation is ever so important when it comes to delivering and operationalizing ESG. >>I imagine it, the CPS role must be a lot more strategic these >>Days >>Because they really have to be kind of a transformation change agent. >>Yeah. And actually in most cases, the CPO is perfect for that because that's been their role, um, in, uh, in, in, uh, in many cases before. Um, and I think, yeah, this is just yet another dimension that they didn't have to attack and, and incorporate into the, uh, into the process of selecting the right partner or the right supplier within their, um, within the, uh, with, with who they want to onboard for, for the company. >>Got it. Okay. Let's talk about advice now for companies that are either in the early stages of the supply chain transformation really digitizing, how do they get started? Is it too late for some? >>No, I don't think it's ever too late. I don't think, I, I think, um, I don't think it's too late, you know, and especially with the very big focus on digital and tech these days, sometimes being the late, being late to the game allows folks to actually work out the kinks for, you know, the bleeding edge technologies. And so that makes it even less risky for them to adopt in, in many cases. Um, that's, that's, uh, that, that's what we've seen, but, you know, I think the advice is get educated, uh, really just understand as much as you can around what other people are doing. Are there other, um, uh, peer group, uh, companies like yours, you know, like themselves that are actually going through the transformation or have gone before and just kind of understand what were the drivers of that strategy and what were the outcomes that you can learn from them, get help from externals. >>Um, and whether they be technology partners, consultants, and actually hiring new skills and bringing in new perspectives to help you to own and drive that strategy important. This is super important and you can't outsource these things, right. This needs to come from within, especially when you think about things as purposeful and impactful as ESG. Um, those, those cannot be outsourced. Um, and I think those would be the, uh, the kind of the two key things. Um, but I always also say, um, take an outward in approach, as you're thinking about your new strategy, focus on what your employees are saying about, you know, your supply chain and how easy it is to actually understand and, and work within your supply chain. Talk to your suppliers, talk to your internal business partners, to really reflect and understand how do you make this process as easy as possible for them to comply with. >>I think one of the things I was reading, uh, in preparation for coming here is that some, some survey, a survey that that Cooper did of about 800 decision makers. And one of the things that was overwhelming as a theme is that a lot of organizations don't feel that they have the right data visibility to drive an ESG strategic initiative. So what Coupa does providing that visibility and the ability to collaborate and share across the community is, seems to be something that's going to be a business critical must have going forward. >>Yeah, a hundred percent, you know, many, uh, many of our clients operate under, you know, uh, not under like mandates or compliance, driven, um, kind of policies in the commercial world, many cases you have to influence the buying behavior. And so you can't do that without data. I'd like to think in this day and age presented with the right supplier options with them at the right point in time, you're able to influence and drive the spend to diverse candidates, sustainable options, you know, and there's, you know, not just savings, not just the lowest cost option, but there's so many other things to consider in this day and age. And I think that's where it's so important to be able to have a platform like Hoopa, to be able to gather that data acquire external sources of data, such as ESG related data and make that to, um, to, to all parties, um, and be that source of truth so that you can drive the >>Here's some truth. And also even something that was talked about this morning during the keynote is accountability. And have you heard Jon Taffer from bar rescue talking this morning, but he was talking about an 120 bar rescues. He goes, I've never met one person that has admitted from day one of the four days. They shoot that I'm responsible for the reason that my business is not successful. He goes, everybody has an excuse. There's no accountability until you really force someone to take probably that hard look in the mirror that they don't want to take, but that accountability within organizations within an overall business is critical. >>Yeah, I think, uh, I absolutely believe that went away to solve that is providing the data and making it available. And, um, and really once again, I think it goes back to driving that behavior that you want. And I think it starts with, uh, with, with leadership and I think the accountability, accountability of leadership, and to be able to drive that type of culture within your organization. Um, but absolutely you need data to be able to do that and, and be able to monitor that as well, you know, as a leader to make sure that that accountability is appropriately distributed. >>Right. But one of the things, I mean, I think patients has been in short supply the last two years have been, we've learned that. I think also that another thing we've learned is that access to real-time data is no longer, oh, then that would be great. It's you've got to have that for your business to be differentiated because the, you know, if we think about the consumer side, the consumers are so vocal on things like social media, if the experience isn't tailored, personalized and instantaneous, We have a very short Rob talked about the very short attention span that his kids have. I'm like three minutes. We don't even have that in business or on the consumer side. I don't think. >>Yeah, I, yeah, I see that in my kids and what he said today was, was spot on. Um, so, you know, when I think about my career and where I'm at, and he said the same thing, I mean, our kids are coming into the, there'll be in procurement organizations very soon, sooner than, you know, then, then I like to admit. Um, and as a result, I think that, um, we talked a bit about talent shortage and the challenge with keeping talent. And I think that what you had just expressed is very important is that that experience for the employee, but you come into a workforce and they expect you to have these quick turnarounds, but you've, you offered them tools that require spreadsheets and old archaic systems to be able to solve today's challenges. I think that you're not going to be able to retain your talent right along. Right. >>That's a great point. That's an absolutely fantastic point. Last question for you before we wrap here is so the changes that organizations need to make with respect to being prepared for ESG reporting requirements that are coming down the pike, obviously being, having a data strategy has got to be one of us. >>Yeah, absolutely. I think, um, I think we, many procurement organizations were really geared around savings and a very compliance, driven manner. And when you think about ESG, I think you gotta be very data-driven. Um, and so that should be a priority focus of how do you retool yourself to be able to acquire mass amounts of data, figuring out where you need to go, um, to get that data, whether they be third parties, whether they be directly from the supplier, um, and be able to aggregate it and provide the insight into those reporting standards that are required. Um, and then to be able to actually measure progress along those sustainability or diversity goals that it might be established at, at, at the leadership level. So I think it's coming down the pike. It's a matter of time. I think it's, I think it's, uh, you know, it's something that I've been waiting for to see. Um, and it's interesting to see how, uh, how quickly that it's, it's come down. Um, but I think with the regulatory compliance coming down, um, this is going to be moving very quick and people need to get ready. >>That's good. They need to be ready. Excellent to be thank you for joining me on the program today, talking about what you were doing at KPMG, what it's doing with Kupa and how organizations really should be thinking about and approaching supply chain, digital transformation. We appreciate your insights. >>Yeah, absolutely. Thank you so much. All >>Right. For Toby, you I'm Lisa Martin. You're watching the cube in Las Vegas at Cooper inspire 2022 stick around. My next guest will join me shortly.

Published Date : Apr 5 2022

SUMMARY :

It's great to have you on the program. It's great to be here. Isn't it great to be back? uh, with Rob of a CEO that I've ever gotten to work with. and I'm never short on phone calls and, you know, uh, from, from my clients reaching out for help, I heard a really smart description of the last two years A hundred percent. um, but you know, the, you know, coming out of the, uh, post COVID era, um, with the spend that you have, that's also changing the skill mix that you have. the C-suite to be much more of a C-suite or board level initiative? Um, so when you think about things that are, um, such as ESG, where you really need to know, And also, I mean, from a business perspective, I think, you know, we, uh, you know, the, the, the new folks coming out of college have to have that skill Talk to me a little bit about from an, a partnership perspective alignment there with the collaborative And it takes partners to be able to drive Talk to me a little bit about that. but I think the recent events and with the regulatory environment changing as well, their, um, within the, uh, with, with who they want to onboard for, for the company. in the early stages of the supply chain transformation really digitizing, um, I don't think it's too late, you know, and especially with the very big focus on digital bringing in new perspectives to help you to own and drive that strategy important. the ability to collaborate and share across the community is, seems to be something that's spend to diverse candidates, sustainable options, you know, And have you heard Jon Taffer from bar rescue talking this morning, but he was talking about an 120 and really once again, I think it goes back to driving that behavior that you want. business to be differentiated because the, you know, if we think about the consumer side, And I think that what you had just expressed is very important is that that experience for the employee, that are coming down the pike, obviously being, having a data strategy has got to be I think it's, I think it's, uh, you know, it's something that I've been waiting for to see. Excellent to be thank you for joining me on the program today, talking about what you were doing at KPMG, Thank you so much. My next guest will join me shortly.

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Ravi Maira, Synk | AWS Startup Showcase S2 E1 | Open Cloud Innovations


 

>>Hello everyone. And welcome to the cubes presentation of the AWS startup showcase open cloud innovations. This is season two episode one of our showcase ongoing series. We're covering very exciting startups from the AWS ecosystem. And we're going to be talking about the open source community. I'm your host, Lisa Martin. And today I'm excited to be joined by Robbie, Myra, the head of product and partner marketing at sneak. Robbie's here to talk with me about developer security for your digital transformation. Robbie, it's great to have you on the cube. >>Thanks Lisa. Nice to be here. >>So talk to me about what's going on in developer land. They're under a lot of pressure. A lot of them are building apps with open source, but what does sneak seeing from the developers lens >>From the developer's lens? There's a lot of pressure to build fast and that's probably the biggest challenge, right? We're in a world of digital transformation where everybody's trying to compete no matter what industry you're in, right on the technology and on the quality of your software or the capabilities of your software, which puts a lot of pressure on developers to build fast. That causes them to do a few things. One, it causes them to build, to develop in a way where they're doing constant iteration and so models that would have enabled a security check to come in at the end, aren't working anymore because they don't have time for those security checks. And it also causes them to do a good thing, which is to leverage other people's code when they can like open source. So they can just focus on, on their own functionality. And that's true, whether they're building new functionality or modernizing legacy applications by moving them to the cloud. >>So it's a high percentage of, of app code 80 to 90% is open source. Then that opens up. Talk to me about w where the vulnerabilities are and how you guys help customers and developers address that. >>Yeah, the vulnerabilities can be anywhere, but the key is that that point, right? If you're using open source in a typical application, 80 to 90 plus percent of the lines of code in that application are going to be open source code, their code. Somebody else wrote that you don't have a direct relationship with, and yet you own the risk that whatever they may have, whatever vulnerabilities may be in their code, you now own that risk. So what we're trying to do with sneakers, trying to do is enable developers to leverage open source, but do that securely. And then we also help them with the 10% that they rent as well, and, and do that all in one really easy environment for a developer that fits into their workflow and into their daily life. >>So security should shift left. I've had the chance to talk with a couple of, do you call them sneakers sneakers? Oh, you do a couple of sneakers recently. We've talked about security shifting lab. That's not a new concept, but I'd love to dig in more to how sneak and AWS do that. And I'm also curious if what you're doing helps. We've talked about the cybersecurity skills got for a long time. Now, just what you guys do, help address that >>It does because it's really leveraging a resource that, that is there, right? There's the number of developers worldwide is growing from, depending on who you believe for these numbers and their estimated numbers, right? But 25 million to 50 million over roughly a five-year period that's already started. So we're somewhere in the 30 now, right? Meanwhile, the security jobs, there's something like 9 million cyber security people in the world, and that's all cyber security roles. It's a much shorter, a smaller chunk that are application security folks. And there's three and a half million unfilled cybersecurity roles. So you can't get cyber security people and keep using the current model you're using. But just scale it linearly, you have to change things. And sneaks belief is the way you change things is you have the developers be part of your security solution, which means they need to have the ability to not only develop, but to develop securely. And that's our concept of developer security. We build tools and a platform that enables developers to be the first part of the security solution and enable security teams rather than individually auditing and fixing things to develop a process, govern the process, guide the development teams, but let the developers own that first step of security. And that's really how you solve that scale problem. >>When you're talking with customers, is this kind of a better together scenario, developers and security folks? Are you helping them align culturally because this is a change? >>Absolutely. I think one of the biggest misconceptions out there is that there's a tension between security and development. And I think that's because organizationally there might be right. Security is responsible for risk and developers responsible for speed of innovation and the faster you innovate, potentially there's more risk. So there might be some organizational tension, but at the human level, people understand each other, they understand the pressures that the other one's going through. They just don't have an easy way to work together. And if you can help them get that, then they, it really takes off it. The relationships form they'll build human to human programs like security champion programs and things to, to integrate the teams because they're both going after the same goal, both sides want to build awesome technology and grow in whatever market they're in. >>Right. And of course, with the need to do that at today's markets speed and scale is a great thing that you guys are doing to facilitate that collaboration. And of course the security let's kind of take a double-click now into the different integrations that sneek has with AWS services. I know there's quite a few, >>There's quite a few. The biggest one, probably the easiest one for the integrations is the native integration that we have with code pipeline. So it makes it easy for developers as they're finishing their builds and deploying to have an automatic security check that comes in, understands if there's things that need to be fixed before this really should be released, and then they can fix it and go forward. But we integrate across with our API across a lot of other services, ECR EKS code builder, so that wherever the developer is working, there's a way for us to integrate with them as they're building across their AWS development process. >>Okay. So giving them plenty of opportunity, let's dig into the platform. Talk to me about the platform, how it's really aimed at developers. You alluded to this a little bit, but I'd like to kind of take a double-click into the technology. >>Sure. That the platform, it, part of it is that idea of it we've wrapped it all as a developer tool. But the thing that makes sneak unique in this is not only we have the idea that we wanted to shift left in time, but we wanted to shift left in ownership. So the developers are primary user and we built a tool that is a developer tool that happens to do security. And we've extended that tool into a platform by enabling it to connect into the developers tools, sharing information, across different elements of what it securing. So for example, the open source that we're scanning for you and testing to find for vulnerabilities, we're also looking at the vulnerabilities in your code and where they may overlap or intersect. We can adjust priorities so that you might not need to fix something. Let's say you're using an open source, vulnerable, a package that has a vulnerability, but your code is never going to access that you don't need to fix it. >>So you can prioritize that one lower, right? Same thing with Kubernetes and containers. You may have a container vulnerability, but the way you're going to leverage the container that won't be used so we can adjust the priority to make it easy for the developer. And that's the other big thing that's different about a developer security platform than a typical security tool. A typical security tool is an audit tool it's designed to output. Here are all the things you have a problem with a developer security tool is a fixing tool. It's just defined as a, here are the problems you have developed with here's how you fix it and go back to building on that. That prioritization is a big part of that, because you can say, here's what you don't need to worry about. And then you can focus the rest of your energy on helping developers fix the problem either by giving them really good advice or automating it for them and saying, Hey, here's a button click that will generate a pull request. And your problem is this fixed. >>It must go a long way to improving developer productivity, one facilitating that speed and the agility with which they need to work, but also from a developer kind of crowd sourcing, crowd swell perspective. I imagine, talk to me about what some of the voices are, the developers that are in your community. What are some of the things that they're saying in terms of how much faster they're able to work, they're able to get those priorities established with automation so much faster? >>Well, that's the biggest thing. Is there a, the productivity gain happens because of the benefit of shift left, right? You're testing earlier. You're finding it at an earlier time when it's easier to fix, but that's because they're the ones doing it, right. If they're waiting to hand off to an auto report and then it comes back, even if somebody is, is giving them them audit faster, it's still after they've moved on. And the other way people try to solve it as well. They'll say, well, I'll take a security tool then to hand it to the developer and they can run it. But so developers are not security experts. So the tool needs to understand what they know and what they don't know, and, and working in an upload. And that's what developers generally say to us because sneak makes it easy to work, but also focuses on the fix and helps them guide them to that, to that answer. Then they're able to go much faster when we're evaluated by companies who are looking for a security solution. If the developers get involved in that evaluation, they'll choose sneak. >>So I'm curious a little bit about as, as the head of product marketing, I'm thinking customer advisory boards, things like that. What's the collaboration like between sneak and the developers to really tune and push the technology forward. I imagine it's quite collaborative, >>Quite collaborative and it's across a lot of, of spectrum. So we do have a customer advisory board and that's generally leaders, right? That's either security leaders or development leaders or operations leaders who are in that advisory board. And they're giving us input on things they need for program-wide governance or program wide adoption. We also have a developer community where we're talking directly to developers and that's where we get a lot of, Hey, here's how I could use this better as a developer. And that guides where we focus features that help developers work better, whether it's integrations with our IDs or whether it's the way we present information, help them prioritize. And then the third part is we have a lot of people using the tool because it has a free model, right? We're as a developer tool, we have a freemium model. There's a level of sneak that developers can use that they don't need to pay for. That's not a temporary trial, it's forever. If you want to use it at that level and we can observe what they're doing. So that observability gives us another insight into where folks get challenged run into, to struggles. And then we can look to address those in our roadmap as well. So, so all of that together really helps us drive the product forward. >>What is the perspective from the analyst view? You talked a little bit about the perspective from the customer. We'll get into a customer story in a bit, but I'd love to know what are the gardeners saying? >>Well, Gardner especially put us, we debuted in their magic quadrant for application security last year. And we did David as a visionary and sort of the highest part of the visionary quadrant you could get in before you crossed over into leader, which is kind of unheard of for a first time into the, into the quadrant. And the main reason for that is that they have built the way those, those magic quadrants are built is they have key capabilities and then they score companies against key capabilities and they weight those capabilities, you know, by order of importance. And Gardner has started to put some of this notion of developer security and cross cloud native application security into those key capabilities. And those tend to align really well with what sneakers. So they have a, for example, a software composition, which is sort of open source security analysis, where first, w w w where the top ranking in that, where the top ranking and container security, where the top ranking and developer enablement. So that's pulling us, they are so-so Gardner and the analyst community is seeing this same demand coming from their customers. And that's really aligning to where our vision is. >>And in terms of kind of propelling that vision forward, the voice of the customer, the voice of the analyst, aligning with what you guys are doing to kind of lead the vision going forward. I want to get into some of the intelligence before we kind of break into a customer example. Talk to me a little bit about snakes security intelligence, what the key capabilities are, and some customers that are leveraging it. Sure. >>The biggest thing is with all the developer tool wrapping that needs to be in this product than it is a developer tool. It's got a developers heart, but it has to have a security brain because it still is a security tool. There are some developer tools. We try to have little check the box capabilities of security and they'll crowdsource for vulnerabilities potentially. But if you're doing this, you need to make sure that all the vulnerabilities that could be found are in the database to be able to be found that the database is comprehensive, that it's timely. They get in very quickly that it's accurate. You don't waste time on false positives because that will turn developers off faster than anything. And that it's actionable. So when it does find something, it helps you go forward with it. And that's where sneaks really focused on. So we collect data from multiple public sources. >>We also have a fairly large proprietary research team that curates that information determines what needs to go in. Sometimes we'll adjust priorities. And we also get a lot of contributions from other sources like community contributions. Again, that big free user base of ours is giving us input academia. Open source groups are also in their social media trends. So if we see something trending on Twitter, then that'll not only get it into the database, but it'll drive prioritization. And that's a big part of what's in sneak Intel, which is the name we use for our vulnerability database. We also have a machine learning algorithm. That's constantly looking at all the code in public, in public applications and repositories. And we use that to train for our own proprietary code testing tool, but it also just gets a lot of it finds things there as well. So it brings a really good source of information that helps people make sure you're finding the vulnerabilities, you're prioritizing them correctly and fixing them. And so Amazon's one who is the, you know, one of the folks that using that tool where one of the primary sources of, of Amazon inspector for open source vulnerabilities, as well as a bunch of other security companies like rapid seven tenable and, and others. >>One of the things I was reading from, I'm always kind of looking at the differentiators and I'm sure you are as the head of product marketing and partner marketing, but it sounds like the database can, is, is a key differentiator finding vulnerabilities up to what is it? 46 days faster than competitors. >>Yeah. I mean, faster than especially public sources, which are the easier ones to, to know how you're doing against, but that's a big part of us. So when I talked about those categories, that's really what we measure ourselves against. How are we doing in terms of comprehensive? Do we have the vulnerabilities that we should have? So we have over four times the number of vulnerabilities as the next largest publicly available database, we find them faster, so timely. So that's at 46 days getting it in faster or faster than other public sources, they get into our solution and then accuracy. Again, we, it's not a stat we can test because you can't test it just from the database. You have to run the tools of our, of others in this space. And we don't have those, but making sure that you're not hitting a lot of false positives is a big part of it as well. >>Got it. Okay. And we only have a couple minutes left, but there's two more areas that I want to dig into with you just crack crack. The surface one is log four, shallow was reading. Snake says this. We were the perfect solution at the perfect time. Unpack that for me in the next minute or so. >>Yeah. And that's a bit, and it kind of wraps back to what we were talking about earlier. Everybody's using open source. If you're in the Java world, a lot of folks had logged for shell and we're using lock for shell for logging as a part of their, as a part of their applications. And so a lot of our customers, I think it was over 30%, 36% of our paying customers had the vulnerability. And you would only have the vulnerability of your Java. So it's a very large percentage of our Java using my customers had the vulnerability, but because they were using sneak, they were able, once we put it in the database, which we did the day, it was disclosed, they were able to find it and fix it very quickly. So 91% of our customers fixed that vulnerability in just two days, 98%, because this was a rolling thunder event, right. There was a vulnerability. And then there was a second vulnerability in the, in the fix. And then there was a vulnerability, even in the fix of that. So the second vulnerability that came out because everybody had been ready for it from the first time 98% picks within two days. Whereas the median number of days to generally fix a vulnerability is over two months. So really fast addressing the solution. >>So those are really impressive. And speaking of stats, I wanted to get into just really quickly a case study that really shows that lasting is one of your customer. One of your many customers, big developer community there about 3,500 developers. Give me some kind of the high level of business outcomes that at Lasagne is, is, is achieving thanks to sneaky. >>Yeah. I mean the biggest one is that almost 99% of their applications are deployed in containers. So being able to have the containers tested for vulnerabilities as they're being deployed before they're being deployed is huge for them to reduce the risk of a vulnerability. They, they had a 65% reduction in high severity container volumes a few months after using sneak across all those developers, which really reduces your, your risk profile of your, of your cloud native applications. They're obviously a big AWS user as well. So, so for them, that was the big thing. And again, it goes to that scale, right? They've got 3 3500 developers, more than 3,500 developers. If you try to go through the security team and have the security team fixing all those things, you'll just never catch up. >>Got it. Last question. Where can I get this available through the AWS market prays marketplace? You mentioned the freemium model, give folks kind of a direction on where to go. >>Yeah. So I would say if you are a, if you're someone in the security team, if you're a buyer, the AWS marketplace is a great place to go because you can probably leverage your existing spend commits with AWS. It's easy to purchase, easy billing, et cetera. If you're a developer, then there is this free version where you might go and just start using it and get comfort for it. And if you are a buyer, talk to your developers because there's a pretty good chance. Someone in your company, that's a developer is already using. Sneak will be comfortable with it. These solutions are only successful. If the developers actually use it, you can't shift left unless the developers pick it up and use it. So using the one that developers are already using is probably a good idea. >>Awesome. Robbie, this has been a great conversation, so much momentum at snake. You're the third sneaker I'd gotten to speak to you in the last month and I have, it's pretty exciting, but thanks for walking us through the technology, the capabilities, the differentiators, the voice of the customer, the voice of the analyst, we appreciate your insights and your time. And we look forward to next time we talk to you. >>Terrific. Lisa, I look forward to it as well, but there's a lot more Smith sneakers to go through before you get back to me again. I guess >>I look forward to adding to my repertoire of sneaker interviews, Ravi. Thanks so much. Thank you for Ravi Myra. I'm Lisa Martin. You're watching this cube interview as part of the AWS startup showcase. Stick around more great content coming up next.

Published Date : Jan 26 2022

SUMMARY :

Robbie, it's great to have you on the cube. So talk to me about what's going on in developer land. And it also causes them to do a good thing, which is to leverage other people's code when they can Talk to me about w where the vulnerabilities are and how you guys the lines of code in that application are going to be open source code, their code. I've had the chance to talk with a couple of, do you call them sneakers sneakers? And sneaks belief is the way you change things is you have the developers Security is responsible for risk and developers responsible for speed of innovation and the faster you And of course the security that we have with code pipeline. Talk to me about the platform, So the developers are primary user and we built a tool that is a developer tool that happens to And that's the other big thing that's that speed and the agility with which they need to work, but also from but also focuses on the fix and helps them guide them to that, to that answer. sneak and the developers to really tune and push the the way we present information, help them prioritize. You talked a little bit about the perspective from the customer. of the visionary quadrant you could get in before you crossed over into leader, which is kind of unheard of the voice of the analyst, aligning with what you guys are doing to kind of lead the vision the database to be able to be found that the database is comprehensive, that it's timely. of the primary sources of, of Amazon inspector for open source vulnerabilities, One of the things I was reading from, I'm always kind of looking at the differentiators and I'm sure you are as the as the next largest publicly available database, we find them faster, Unpack that for me in the next minute or so. Whereas the median number of days to generally fix a vulnerability is over two months. Give me some kind of the high level of business outcomes that at Lasagne is, And again, it goes to that scale, You mentioned the freemium model, give folks kind of a direction on where to go. the AWS marketplace is a great place to go because you can probably leverage your existing spend commits with AWS. You're the third sneaker I'd gotten to speak to you in the last month and I have, it's pretty exciting, but thanks for walking us through I guess I look forward to adding to my repertoire of sneaker interviews, Ravi.

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Breaking Analysis: Enterprise Technology Predictions 2022


 

>> From theCUBE Studios in Palo Alto and Boston, bringing you data-driven insights from theCUBE and ETR, this is Breaking Analysis with Dave Vellante. >> The pandemic has changed the way we think about and predict the future. As we enter the third year of a global pandemic, we see the significant impact that it's had on technology strategy, spending patterns, and company fortunes Much has changed. And while many of these changes were forced reactions to a new abnormal, the trends that we've seen over the past 24 months have become more entrenched, and point to the way that's coming ahead in the technology business. Hello and welcome to this week's Wikibon CUBE Insights powered by ETR. In this Breaking Analysis, we welcome our partner and colleague and business friend, Erik Porter Bradley, as we deliver what's becoming an annual tradition for Erik and me, our predictions for Enterprise Technology in 2022 and beyond Erik, welcome. Thanks for taking some time out. >> Thank you, Dave. Luckily we did pretty well last year, so we were able to do this again. So hopefully we can keep that momentum going. >> Yeah, you know, I want to mention that, you know, we get a lot of inbound predictions from companies and PR firms that help shape our thinking. But one of the main objectives that we have is we try to make predictions that can be measured. That's why we use a lot of data. Now not all will necessarily fit that parameter, but if you've seen the grading of our 2021 predictions that Erik and I did, you'll see we do a pretty good job of trying to put forth prognostications that can be declared correct or not, you know, as black and white as possible. Now let's get right into it. Our first prediction, we're going to go run into spending, something that ETR surveys for quarterly. And we've reported extensively on this. We're calling for tech spending to increase somewhere around 8% in 2022, we can see there on the slide, Erik, we predicted spending last year would increase by 4% IDC. Last check was came in at five and a half percent. Gardner was somewhat higher, but in general, you know, not too bad, but looking ahead, we're seeing an acceleration from the ETR September surveys, as you can see in the yellow versus the blue bar in this chart, many of the SMBs that were hard hit by the pandemic are picking up spending again. And the ETR data is showing acceleration above the mean for industries like energy, utilities, retail, and services, and also, notably, in the Forbes largest 225 private companies. These are companies like Mars or Koch industries. They're predicting well above average spending for 2022. So Erik, please weigh in here. >> Yeah, a lot to bring up on this one, I'm going to be quick. So 1200 respondents on this, over a third of which were at the C-suite level. So really good data that we brought in, the usual bucket of, you know, fortune 500, global 2000 make up the meat of that median, but it's 8.3% and rising with momentum as we see. What's really interesting right now is that energy and utilities. This is usually like, you know, an orphan stock dividend type of play. You don't see them at the highest point of tech spending. And the reason why right now is really because this state of tech infrastructure in our energy infrastructure needs help. And it's obvious, remember the Florida municipality break reach last year? When they took over the water systems or they had the ability to? And this is a real issue, you know, there's bad nation state actors out there, and I'm no alarmist, but the energy and utility has to spend this money to keep up. It's really important. And then you also hit on the retail consumer. Obviously what's happened, the work from home shift created a shop from home shift, and the trends that are happening right now in retail. If you don't spend and keep up, you're not going to be around much longer. So I think the really two interesting things here to call out are energy utilities, usually a laggard in IT spend and it's leading, and also retail consumer, a lot of changes happening. >> Yeah. Great stuff. I mean, I recall when we entered the pandemic, really ETR was the first to emphasize the impact that work from home was going to have, so I really put a lot of weight on this data. Okay. Our next prediction is we're going to get into security, it's one of our favorite topics. And that is that the number one priority that needs to be addressed by organizations in 2022 is security and you can see, in this slide, the degree to which security is top of mind, relative to some other pretty important areas like cloud, productivity, data, and automation, and some others. Now people may say, "Oh, this is obvious." But I'm going to add some context here, Erik, and then bring you in. First, organizations, they don't have unlimited budgets. And there are a lot of competing priorities for dollars, especially with the digital transformation mandate. And depending on the size of the company, this data will vary. For example, while security is still number one at the largest public companies, and those are of course of the biggest spenders, it's not nearly as pronounced as it is on average, or in, for example, mid-sized companies and government agencies. And this is because midsized companies or smaller companies, they don't have the resources that larger companies do. Larger companies have done a better job of securing their infrastructure. So these mid-size firms are playing catch up and the data suggests cyber is even a bigger priority there, gaps that they have to fill, you know, going forward. And that's why we think there's going to be more demand for MSSPs, managed security service providers. And we may even see some IPO action there. And then of course, Erik, you and I have talked about events like the SolarWinds Hack, there's more ransomware attacks, other vulnerabilities. Just recently, like Log4j in December. All of this has heightened concerns. Now I want to talk a little bit more about how we measure this, you know, relatively, okay, it's an obvious prediction, but let's stick our necks out a little bit. And so in addition to the rise of managed security services, we're calling for M&A and/or IPOs, we've specified some names here on this chart, and we're also pointing to the digital supply chain as an area of emphasis. Again, Log4j really shone that under a light. And this is going to help the likes of Auth0, which is now Okta, SailPoint, which is called out on this chart, and some others. We're calling some winners in end point security. Erik, you're going to talk about sort of that lifecycle, that transformation that we're seeing, that migration to new endpoint technologies that are going to benefit from this reset refresh cycle. So Erik, weigh in here, let's talk about some of the elements of this prediction and some of the names on that chart. >> Yeah, certainly. I'm going to start right with Log4j top of mind. And the reason why is because we're seeing a real paradigm shift here where things are no longer being attacked at the network layer, they're being attacked at the application layer, and in the application stack itself. And that is a huge shift left. And that's taking in DevSecOps now as a real priority in 2022. That's a real paradigm shift over the last 20 years. That's not where attacks used to come from. And this is going to have a lot of changes. You called out a bunch of names in there that are, they're either going to work. I would add to that list Wiz. I would add Orca Security. Two names in our emerging technology study, in addition to the ones you added that are involved in cloud security and container security. These names are either going to get gobbled up. So the traditional legacy names are going to have to start writing checks and, you know, legacy is not fair, but they're in the data center, right? They're, on-prem, they're not cloud native. So these are the names that money is going to be flowing to. So they're either going to get gobbled up, or we're going to see some IPO's. And on the other thing I want to talk about too, is what you mentioned. We have CrowdStrike on that list, We have SentinalOne on the list. Everyone knows them. Our data was so strong on Tanium that we actually went positive for the first time just today, just this morning, where that was released. The trifecta of these are so important because of what you mentioned, under resourcing. We can't have security just tell us when something happens, it has to automate, and it has to respond. So in this next generation of EDR and XDR, an automated response has to happen because people are under-resourced, salaries are really high, there's a skill shortage out there. Security has to become responsive. It can't just monitor anymore. >> Yeah. Great. And we should call out too. So we named some names, Snyk, Aqua, Arctic Wolf, Lacework, Netskope, Illumio. These are all sort of IPO, or possibly even M&A candidates. All right. Our next prediction goes right to the way we work. Again, something that ETR has been on for awhile. We're calling for a major rethink in remote work for 2022. We had predicted last year that by the end of 2021, there'd be a larger return to the office with the norm being around a third of workers permanently remote. And of course the variants changed that equation and, you know, gave more time for people to think about this idea of hybrid work and that's really come in to focus. So we're predicting that is going to overtake fully remote as the dominant work model with only about a third of the workers back in the office full-time. And Erik, we expect a somewhat lower percentage to be fully remote. It's now sort of dipped under 30%, at around 29%, but it's still significantly higher than the historical average of around 15 to 16%. So still a major change, but this idea of hybrid and getting hybrid right, has really come into focus. Hasn't it? >> Yeah. It's here to stay. There's no doubt about it. We started this in March of 2020, as soon as the virus hit. This is the 10th iteration of the survey. No one, no one ever thought we'd see a number where only 34% of people were going to be in office permanently. That's a permanent number. They're expecting only a third of the workers to ever come back fully in office. And against that, there's 63% that are saying their permanent workforce is going to be either fully remote or hybrid. And this, I can't really explain how big of a paradigm shift this is. Since the start of the industrial revolution, people leave their house and go to work. Now they're saying that's not going to happen. The economic impact here is so broad, on so many different areas And, you know, the reason is like, why not? Right? The productivity increase is real. We're seeing the productivity increase. Enterprises are spending on collaboration tools, productivity tools, We're seeing an increased perception in productivity of their workforce. And the CFOs can cut down an expense item. I just don't see a reason why this would end, you know, I think it's going to continue. And I also want to point out these results, as high as they are, were before the Omicron wave hit us. I can only imagine what these results would have been if we had sent the survey out just two or three weeks later. >> Yeah. That's a great point. Okay. Next prediction, we're going to look at the supply chain, specifically in how it's affecting some of the hardware spending and cloud strategies in the future. So in this chart, ETRS buyers, have you experienced problems procuring hardware as a result of supply chain issues? And, you know, despite the fact that some companies are, you know, I would call out Dell, for example, doing really well in terms of delivering, you can see that in the numbers, it's pretty clear, there's been an impact. And that's not not an across the board, you know, thing where vendors are able to deliver, especially acute in PCs, but also pronounced in networking, also in firewall servers and storage. And what's interesting is how companies are responding and reacting. So first, you know, I'm going to call the laptop and PC demand staying well above pre-COVID norms. It had peaked in 2012. Pre-pandemic it kept dropping and dropping and dropping, in terms of, you know, unit volume, where the market was contracting. And we think can continue to grow this year in double digits in 2022. But what's interesting, Erik, is when you survey customers, is despite the difficulty they're having in procuring network hardware, there's as much of a migration away from existing networks to the cloud. You could probably comment on that. Their networks are more fossilized, but when it comes to firewalls and servers and storage, there's a much higher propensity to move to the cloud. 30% of customers that ETR surveyed will replace security appliances with cloud services and 41% and 34% respectively will move to cloud compute and storage in 2022. So cloud's relentless march on traditional on-prem models continues. Erik, what do you make of this data? Please weigh in on this prediction. >> As if we needed another reason to go to the cloud. Right here, here it is yet again. So this was added to the survey by client demand. They were asking about the procurement difficulties, the supply chain issues, and how it was impacting our community. So this is the first time we ran it. And it really was interesting to see, you know, the move there. And storage particularly I found interesting because it correlated with a huge jump that we saw on one of our vendor names, which was Rubrik, had the highest net score that it's ever had. So clearly we're seeing some correlation with some of these names that are there, you know, really well positioned to take storage, to take data into the cloud. So again, you didn't need another reason to, you know, hasten this digital transformation, but here we are, we have it yet again, and I don't see it slowing down anytime soon. >> You know, that's a really good point. I mean, it's not necessarily bad news for the... I mean, obviously you wish that it had no change, would be great, but things, you know, always going to change. So we'll talk about this a little bit later when we get into the Supercloud conversation, but this is an opportunity for people who embrace the cloud. So we'll come back to that. And I want to hang on cloud a bit and share some recent projections that we've made. The next prediction is the big four cloud players are going to surpass 167 billion, an IaaS and PaaS revenue in 2022. We track this. Observers of this program know that we try to create an apples to apples comparison between AWS, Azure, GCP and Alibaba in IaaS and PaaS. So we're calling for 38% revenue growth in 2022, which is astounding for such a massive market. You know, AWS is probably not going to hit a hundred billion dollar run rate, but they're going to be close this year. And we're going to get there by 2023, you know they're going to surpass that. Azure continues to close the gap. Now they're about two thirds of the size of AWS and Google, we think is going to surpass Alibaba and take the number three spot. Erik, anything you'd like to add here? >> Yeah, first of all, just on a sector level, we saw our sector, new survey net score on cloud jumped another 10%. It was already really high at 48. Went up to 53. This train is not slowing down anytime soon. And we even added an edge compute type of player, like CloudFlare into our cloud bucket this year. And it debuted with a net score of almost 60. So this is really an area that's expanding, not just the big three, but everywhere. We even saw Oracle and IBM jump up. So even they're having success, taking some of their on-prem customers and then selling them to their cloud services. This is a massive opportunity and it's not changing anytime soon, it's going to continue. >> And I think the operative word there is opportunity. So, you know, the next prediction is something that we've been having fun with and that's this Supercloud becomes a thing. Now, the reason I say we've been having fun is we put this concept of Supercloud out and it's become a bit of a controversy. First, you know, what the heck's the Supercloud right? It's sort of a buzz-wordy term, but there really is, we believe, a thing here. We think there needs to be a rethinking or at least an evolution of the term multi-cloud. And what we mean is that in our view, you know, multicloud from a vendor perspective was really cloud compatibility. It wasn't marketed that way, but that's what it was. Either a vendor would containerize its legacy stack, shove it into the cloud, or a company, you know, they'd do the work, they'd build a cloud native service on one of the big clouds and they did do it for AWS, and then Azure, and then Google. But there really wasn't much, if any, leverage across clouds. Now from a buyer perspective, we've always said multicloud was a symptom of multi-vendor, meaning I got different workloads, running in different clouds, or I bought a company and they run on Azure, and I do a lot of work on AWS, but generally it wasn't necessarily a prescribed strategy to build value on top of hyperscale infrastructure. There certainly was somewhat of a, you know, reducing lock-in and hedging the risk. But we're talking about something more here. We're talking about building value on top of the hyperscale gift of hundreds of billions of dollars in CapEx. So in addition, we're not just talking about transforming IT, which is what the last 10 years of cloud have been like. And, you know, doing work in the cloud because it's cheaper or simpler or more agile, all of those things. So that's beginning to change. And this chart shows some of the technology vendors that are leaning toward this Supercloud vision, in our view, building on top of the hyperscalers that are highlighted in red. Now, Jerry Chan at Greylock, they wrote a piece called Castles in the Cloud. It got our thinking going, and he and the team at Greylock, they're building out a database of all the cloud services and all the sub-markets in cloud. And that got us thinking that there's a higher level of abstraction coalescing in the market, where there's tight integration of services across clouds, but the underlying complexity is hidden, and there's an identical experience across clouds, and even, in my dreams, on-prem for some platforms, so what's new or new-ish and evolving are things like location independence, you've got to include the edge on that, metadata services to optimize locality of reference and data source awareness, governance, privacy, you know, application independent and dependent, actually, recovery across clouds. So we're seeing this evolve. And in our view, the two biggest things that are new are the technology is evolving, where you're seeing services truly integrate cross-cloud. And the other big change is digital transformation, where there's this new innovation curve developing, and it's not just about making your IT better. It's about SaaS-ifying and automating your entire company workflows. So Supercloud, it's not just a vendor thing to us. It's the evolution of, you know, the, the Marc Andreessen quote, "Every company will be a SaaS company." Every company will deliver capabilities that can be consumed as cloud services. So Erik, the chart shows spending momentum on the y-axis and net score, or presence in the ETR data center, or market share on the x-axis. We've talked about snowflake as the poster child for this concept where the vision is you're in their cloud and sharing data in that safe place. Maybe you could make some comments, you know, what do you think of this Supercloud concept and this change that we're sensing in the market? >> Well, I think you did a great job describing the concept. So maybe I'll support it a little bit on the vendor level and then kind of give examples of the ones that are doing it. You stole the lead there with Snowflake, right? There is no better example than what we've seen with what Snowflake can do. Cross-portability in the cloud, the ability to be able to be, you know, completely agnostic, but then build those services on top. They're better than anything they could offer. And it's not just there. I mean, you mentioned edge compute, that's a whole nother layer where this is coming in. And CloudFlare, the momentum there is out of control. I mean, this is a company that started off just doing CDN and trying to compete with Okta Mite. And now they're giving you a full soup to nuts with security and actual edge compute layer, but it's a fantastic company. What they're doing, it's another great example of what you're seeing here. I'm going to call out HashiCorp as well. They're more of an infrastructure services, a little bit more of an open-source freemium model, but what they're doing as well is completely cloud agnostic. It's dynamic. It doesn't care if you're in a container, it doesn't matter where you are. They recently IPO'd and they're down 25%, but their data looks so good across both of our emerging technology and TISA survey. It's certainly another name that's playing on this. And another one that we mentioned as well is Rubrik. If you need storage, compute, and in the cloud layer and you need to be agnostic to it, they're another one that's really playing in this space. So I think it's a great concept you're bringing up. I think it's one that's here to stay and there's certainly a lot of vendors that fit into what you're describing. >> Excellent. Thank you. All right, let's shift to data. The next prediction, it might be a little tough to measure. Before I said we're trying to be a little black and white here, but it relates to Data Mesh, which is, the ideas behind that term were created by Zhamak Dehghani of ThoughtWorks. And we see Data Mesh is really gaining momentum in 2022, but it's largely going to be, we think, confined to a more narrow scope. Now, the impetus for change in data architecture in many companies really stems from the fact that their Hadoop infrastructure really didn't solve their data problems and they struggle to get more value out of their data investments. Data Mesh prescribes a shift to a decentralized architecture in domain ownership of data and a shift to data product thinking, beyond data for analytics, but data products and services that can be monetized. Now this a very powerful in our view, but they're difficult for organizations to get their heads around and further decentralization creates the need for a self-service platform and federated data governance that can be automated. And not a lot of standards around this. So it's going to take some time. At our power panel a couple of weeks ago on data management, Tony Baer predicted a backlash on Data Mesh. And I don't think it's going to be so much of a backlash, but rather the adoption will be more limited. Most implementations we think are going to use a starting point of AWS and they'll enable domains to access and control their own data lakes. And while that is a very small slice of the Data Mesh vision, I think it's going to be a starting point. And the last thing I'll say is, this is going to take a decade to evolve, but I think it's the right direction. And whether it's a data lake or a data warehouse or a data hub or an S3 bucket, these are really, the concept is, they'll eventually just become nodes on the data mesh that are discoverable and access is governed. And so the idea is that the stranglehold that the data pipeline and process and hyper-specialized roles that they have on data agility is going to evolve. And decentralized architectures and the democratization of data will eventually become a norm for a lot of different use cases. And Erik, I wonder if you'd add anything to this. >> Yeah. There's a lot to add there. The first thing that jumped out to me was that that mention of the word backlash you said, and you said it's not really a backlash, but what it could be is these are new words trying to solve an old problem. And I do think sometimes the industry will notice that right away and maybe that'll be a little pushback. And the problems are what you already mentioned, right? We're trying to get to an area where we can have more assets in our data site, more deliverable, and more usable and relevant to the business. And you mentioned that as self-service with governance laid on top. And that's really what we're trying to get to. Now, there's a lot of ways you can get there. Data fabric is really the technical aspect and data mesh is really more about the people, the process, and the governance, but the two of those need to meet, in order to make that happen. And as far as tools, you know, there's even cataloging names like Informatica that play in this, right? Istio plays in this, Snowflake plays in this. So there's a lot of different tools that will support it. But I think you're right in calling out AWS, right? They have AWS Lake, they have AWS Glue. They have so much that's trying to drive this. But I think the really important thing to keep here is what you said. It's going to be a decade long journey. And by the way, we're on the shoulders of giants a decade ago that have even gotten us to this point to talk about these new words because this has been an ongoing type of issue, but ultimately, no matter which vendors you use, this is going to come down to your data governance plan and the data literacy in your business. This is really about workflows and people as much as it is tools. So, you know, the new term of data mesh is wonderful, but you still have to have the people and the governance and the processes in place to get there. >> Great, thank you for that, Erik. Some great points. All right, for the next prediction, we're going to shine the spotlight on two of our favorite topics, Snowflake and Databricks, and the prediction here is that, of course, Databricks is going to IPO this year, as expected. Everybody sort of expects that. And while, but the prediction really is, well, while these two companies are facing off already in the market, they're also going to compete with each other for M&A, especially as Databricks, you know, after the IPO, you're going to have, you know, more prominence and a war chest. So first, these companies, they're both looking pretty good, the same XY graph with spending velocity and presence and market share on the horizontal axis. And both Snowflake and Databricks are well above that magic 40% red dotted line, the elevated line, to us. And for context, we've included a few other firms. So you can see kind of what a good position these two companies are really in, especially, I mean, Snowflake, wow, it just keeps moving to the right on this horizontal picture, but maintaining the next net score in the Y axis. Amazing. So, but here's the thing, Databricks is using the term Lakehouse implying that it has the best of data lakes and data warehouses. And Snowflake has the vision of the data cloud and data sharing. And Snowflake, they've nailed analytics, and now they're moving into data science in the domain of Databricks. Databricks, on the other hand, has nailed data science and is moving into the domain of Snowflake, in the data warehouse and analytics space. But to really make this seamless, there has to be a semantic layer between these two worlds and they're either going to build it or buy it or both. And there are other areas like data clean rooms and privacy and data prep and governance and machine learning tooling and AI, all that stuff. So the prediction is they'll not only compete in the market, but they'll step up and in their competition for M&A, especially after the Databricks IPO. We've listed some target names here, like Atscale, you know, Iguazio, Infosum, Habu, Immuta, and I'm sure there are many, many others. Erik, you care to comment? >> Yeah. I remember a year ago when we were talking Snowflake when they first came out and you, and I said, "I'm shocked if they don't use this war chest of money" "and start going after more" "because we know Slootman, we have so much respect for him." "We've seen his playbook." And I'm actually a little bit surprised that here we are, at 12 months later, and he hasn't spent that money yet. So I think this prediction's just spot on. To talk a little bit about the data side, Snowflake is in rarefied air. It's all by itself. It is the number one net score in our entire TISA universe. It is absolutely incredible. There's almost no negative intentions. Global 2000 organizations are increasing their spend on it. We maintain our positive outlook. It's really just, you know, stands alone. Databricks, however, also has one of the highest overall net sentiments in the entire universe, not just its area. And this is the first time we're coming up positive on this name as well. It looks like it's not slowing down. Really interesting comment you made though that we normally hear from our end-user commentary in our panels and our interviews. Databricks is really more used for the data science side. The MLAI is where it's best positioned in our survey. So it might still have some catching up to do to really have that caliber of usability that you know Snowflake is seeing right now. That's snowflake having its own marketplace. There's just a lot more to Snowflake right now than there is Databricks. But I do think you're right. These two massive vendors are sort of heading towards a collision course, and it'll be very interesting to see how they deploy their cash. I think Snowflake, with their incredible management and leadership, probably will make the first move. >> Well, I think you're right on that. And by the way, I'll just add, you know, Databricks has basically said, hey, it's going to be easier for us to come from data lakes into data warehouse. I'm not sure I buy that. I think, again, that semantic layer is a missing ingredient. So it's going to be really interesting to see how this plays out. And to your point, you know, Snowflake's got the war chest, they got the momentum, they've got the public presence now since November, 2020. And so, you know, they're probably going to start making some aggressive moves. Anyway, next prediction is something, Erik, that you and I have talked about many, many times, and that is observability. I know it's one of your favorite topics. And we see this world screaming for more consolidation it's going all in on cloud native. These legacy stacks, they're fighting to stay relevant, but the direction is pretty clear. And the same XY graph lays out the players in the field, with some of the new entrants that we've also highlighted, like Observe and Honeycomb and ChaosSearch that we've talked about. Erik, we put a big red target around Splunk because everyone wants their gold. So please give us your thoughts. >> Oh man, I feel like I've been saying negative things about Splunk for too long. I've got a bad rap on this name. The Splunk shareholders come after me all the time. Listen, it really comes down to this. They're a fantastic company that was designed to do logging and monitoring and had some great tool sets around what you could do with it. But they were designed for the data center. They were designed for prem. The world we're in now is so dynamic. Everything I hear from our end user community is that all net new workloads will be going to cloud native players. It's that simple. So Splunk has entrenched. It's going to continue doing what it's doing and it does it really, really well. But if you're doing something new, the new workloads are going to be in a dynamic environment and that's going to go to the cloud native players. And in our data, it is extremely clear that that means Datadog and Elastic. They are by far number one and two in net score, increase rates, adoption rates. It's not even close. Even New Relic actually is starting to, you know, entrench itself really well. We saw New Relic's adoption's going up, which is super important because they went to that freemium model, you know, to try to get their little bit of an entrenched customer base and that's working as well. And then you made a great list here, of all the new entrants, but it goes beyond this. There's so many more. In our emerging technology survey, we're seeing Century, Catchpoint, Securonix, Lucid Works. There are so many options in this space. And let's not forget, the biggest data that we're seeing is with Grafana. And Grafana labs as yet to turn on their enterprise. Elastic did it, why can't Grafana labs do it? They have an enterprise stack. So when you look at how crowded this space is, there has to be consolidation. I recently hosted a panel and every single guy on that panel said, "Please give me a consolidation." Because they're the end users trying to actually deploy these and it's getting a little bit confusing. >> Great. Thank you for that. Okay. Last prediction. Erik, might be a little out of your wheelhouse, but you know, you might have some thoughts on it. And that's a hybrid events become the new digital model and a new category in 2022. You got these pure play digital or virtual events. They're going to take a back seat to in-person hybrids. The virtual experience will eventually give way to metaverse experiences and that's going to take some time, but the physical hybrid is going to drive it. And metaverse is ultimately going to define the virtual experience because the virtual experience today is not great. Nobody likes virtual. And hybrid is going to become the business model. Today's pure virtual experience has to evolve, you know, theCUBE first delivered hybrid mid last decade, but nobody really wanted it. We did Mobile World Congress last summer in Barcelona in an amazing hybrid model, which we're showing in some of the pictures here. Alex, if you don't mind bringing that back up. And every physical event that we're we're doing now has a hybrid and virtual component, including the pre-records. You can see in our studios, you see that the green screen. I don't know. Erik, what do you think about, you know, the Zoom fatigue and all this. I know you host regular events with your round tables, but what are your thoughts? >> Well, first of all, I think you and your company here have just done an amazing job on this. So that's really your expertise. I spent 20 years of my career hosting intimate wall street idea dinners. So I'm better at navigating a wine list than I am navigating a conference floor. But I will say that, you know, the trend just goes along with what we saw. If 35% are going to be fully remote. If 70% are going to be hybrid, then our events are going to be as well. I used to host round table dinners on, you know, one or two nights a week. Now those have gone virtual. They're now panels. They're now one-on-one interviews. You know, we do chats. We do submitted questions. We do what we can, but there's no reason that this is going to change anytime soon. I think you're spot on here. >> Yeah. Great. All right. So there you have it, Erik and I, Listen, we always love the feedback. Love to know what you think. Thank you, Erik, for your partnership, your collaboration, and love doing these predictions with you. >> Yeah. I always enjoy them too. And I'm actually happy. Last year you made us do a baker's dozen, so thanks for keeping it to 10 this year. >> (laughs) We've got a lot to say. I know, you know, we cut out. We didn't do much on crypto. We didn't really talk about SaaS. I mean, I got some thoughts there. We didn't really do much on containers and AI. >> You want to keep going? I've got another 10 for you. >> RPA...All right, we'll have you back and then let's do that. All right. All right. Don't forget, these episodes are all available as podcasts, wherever you listen, all you can do is search Breaking Analysis podcast. Check out ETR's website at etr.plus, they've got a new website out. It's the best data in the industry, and we publish a full report every week on wikibon.com and siliconangle.com. You can always reach out on email, David.Vellante@siliconangle.com I'm @DVellante on Twitter. Comment on our LinkedIn posts. This is Dave Vellante for the Cube Insights powered by ETR. Have a great week, stay safe, be well. And we'll see you next time. (mellow music)

Published Date : Jan 22 2022

SUMMARY :

bringing you data-driven and predict the future. So hopefully we can keep to mention that, you know, And this is a real issue, you know, And that is that the number one priority and in the application stack itself. And of course the variants And the CFOs can cut down an expense item. the board, you know, thing interesting to see, you know, and take the number three spot. not just the big three, but everywhere. It's the evolution of, you know, the, the ability to be able to be, and the democratization of data and the processes in place to get there. and is moving into the It is the number one net score And by the way, I'll just add, you know, and that's going to go to has to evolve, you know, that this is going to change anytime soon. Love to know what you think. so thanks for keeping it to 10 this year. I know, you know, we cut out. You want to keep going? This is Dave Vellante for the

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Garrett Lowell & Jay Turner, Console Connect by PCCW Global | AWS re:Invent 2021


 

(upbeat music) >> Welcome back to Las Vegas everybody. You're watching theCUBE coverage of AWS reinvent 2021. I tell you this place is packed. It's quite amazing here, over 20,000 people, I'd say it's closer to 25, maybe 27,000, and it's whole overflow, lots going on in the evenings. It's quite remarkable and we're really happy to be part of this. Jay Turner is here, he's the Vice President of Development and Operations, at PCCW Global. He's joined by Garrett Lowell, Vice President of Ecosystem Partnerships for the Americas at PCCW Global. Guys, welcome to theCUBE. Thanks for coming on. >> Thank you. >> Thank you so much. Jay, maybe you could take us through, for those people who aren't familiar with your company, what do you guys do, what are you all about? >> PCCW Global is the international operating wing of Hong Kong telecom. If it's outside of Hong Kong, it's our network. We've got about 695,000 kilometers of diverse cable, we've got about 43, 44 terabit of capacity came into business in 2005, if my brain is serving me correctly right now. We have a very diverse and vast portfolio ranging all the way from satellite teleports, all the way to IP transit. We're a Tier 1 service provider from that perspective as well. We do one of everything when it comes to networking and that's really, what was the basis of Console Connect, was inventing a platform to really enable our users to capitalize on our network and our assets. >> Okay. 2005, obviously you predated Cloud, you laid a bunch of fibers struck it in the ocean, I mean, global networks. There was a big trend to do that you had to think, you had to go bigger, go home in that business, (laughing) all right. Console Connect is your platform, is that right? >> Jay: Yes. >> So explain- >> Yeah, sorry, Console Connect is a software defined interconnection platform. We built a user self-service portal. Users can allocate ports, they get the LOAs issued to them directly from the platform. And then once they've got an active port or they've come in via one of our partnerships, they can then provision connectivity across our platform. That may be extending to their data centers or extending to their branch office, or it could be building a circuit into the Cloud via direct connect, could be building a circuit into an internet exchange. All of those circuits are going to be across that 685,000 kilometers of diverse fiber rather than going across the public internet. >> When you started, it took some time obviously to build out that infrastructure and then the Cloud came into play, but it was still early days, but it sounds like you're taking the AWS Cloud model and applying that to your business, eliminate all that undifferentiated heavy lifting, if you will, like the visioning in management. >> Yeah, we've heard many people, and that's kind of the impetus of this was, I want to be directly connected to my end point. And how do I do that? AWS, yes, they had direct connect, but figuring out how to do that as an enterprise was challenging. So we said, hey, we'll automate that for you. Just tell us what region you want to connect to. And we'll do all the heavy lifting and we'll just hand you back a villain tag. You're good to go. So it's a classic case, okay. AWS has direct connect. People will go, oh, that's directly competitive, but it's now you're adding value on top of that. Right? >> Yeah. >> Describe where you fit, Garrett, inside of the AWS ecosystem. You look around this hall and it's just a huge growing ecosystem, where you fit inside of that ecosystem and then your ecosystem. What's that like? >> Where we fit into the AWS ecosystem, as Jay alluded to, we're adding value to our partners and customers where they can come in, not only are they able to access the AWS platform as well as other Cloud platforms, but they're also able to access each other. We have a marketplace in our platform, which allows our customers and partners to put a description of their services on the marketplace and advertise their capabilities out to the rest of the ecosystem of PCCW Global and Console Connect. >> And you're doing that inside of AWS, is that right or at least in part? >> No, that's not inside of AWS. >> So your platform is your platform. >> Yes. >> Your relationship with AWS is to superpower direct connect. Is that right or? >> So we're directly connected to AWS throughout the globe. And this allows our customers and partners to be able to utilize not only the PCCW global network, but also to expand that capability to the AWS platform in Cloud. >> So wherever there's a Cloud, you plug into it, okay? >> Garrett: That's correct. >> Jay: Yeah. And then another advantage, the customer, obviously doesn't have to be directly co-located with AWS. They don't have to be in the same geographical region. If for some reason you need to be connected to U.S. west, but you're in Frankfurt, fine, we'll back all the traffic for you. >> Dave: Does that happen a lot? >> It actually does. >> How come? What's the use case there. >> Global diversity is certainly one of them just being able to have multiple footprints. But the other thing that we're seeing more of late is these Cloud-based companies are beginning to be attracted to where their customers are located. So they'll start seeing these packets of views and they'll go, well, we're going to go into that region as well, stand up a VPC there. We want our customers then being able to directly connect to that asset that's closest to them. And then still be able to back call that traffic if necessary or take it wherever. >> What's the big macro trends in your business? Broadly you see cost per bit coming down, you see data consumption and usage going through the roof. How does that affect you? What are some of the big trends that you see? >> I think one of the biggest ones and one that we targeted with Console Connect, we were hearing a lot of customers going, the world's changing so dynamically. We don't know how to do a one-year forecast of bandwidth, much less a three-year, which is what a lot of contracts are asking us for. So we said, hey, how about one day? Can you do one day? (Dave laughs) Because that's what our granularity is. We allow for anything from one day up to three years right now, and then even within that term, we're dynamic. If something happens, if suddenly some product goes through the roof and you've suddenly got a spike in traffic, if a ship drags its anchor through a sub sea cable, and suddenly you're having to pivot, you just come into the platform, you click a couple of buttons, 20 seconds later, we've modified your bandwidth for you or we've provisioned a new circuit for you, we've got your backup going, whatever. Really at the end of the day, it's the customer paying for their network, so the customer should be the one making those decisions. >> How's that affect pricing? I presume or so, I can have one day to a three-year term, for example if I commit to three years, I get a better deal. Is that right, or? >> You do, but at the end of the day, it's actually pretty much a moderate, a better deal. We don't want to force the hand of the customer. If you signed a 12 month contract with us, we're going to give you a 3% discount. >> So it's not really, that's not a motivation to do it. It's just (indistinct) reduce the transaction complexity. And that's why you will sign up for a longer term not to get the big discount. >> Correct. And then, like I said, even within a longer contract, we're still going to allow you to flex and flow and modify if you need to, because it's your network. >> What kind of constraints do you put on that? Do I have to commit to a flow? And then everything above that is, I can flex up. Is that how it works? >> Yeah. >> Okay. And then, the more I commit to, the better the deal is, or not necessarily? >> No, it's pretty much flat rate. >> Okay, I'm going to commit and I'm going to say, all right, I know I'm going to use X, or sign up for that and anything over it, you're pretty flexible, I might get a few points if I sign up for more, somebody might want to optimize that if they're big enough. >> And another really neat advantage, the other complaint we heard from customers, they go, I need three different direct connect, I need to be connected to three different parties, but I don't want to run three different cross-connects and I don't want to have three different ports. That's just an expense and I don't want. And we, fine, take your one gig port run one gig of services on it. If that's 20 different services, we're fine. We allow you to multiplex your port and provision as- >> So awesome. I love that model. I know some software companies who I would recommend to take a look at that pricing model. So Garrett, how do you segment the ecosystem? How do you look at that? Maybe you could draw and paint a picture of the idea of partners and what they look like. I know there's not just one category, but, >> Sure. Our ideal partners are internet exchangers, Cloud partners and SAS providers, because a big piece of our business is migration to the Cloud, and the flexibility of our platform allows and encourages our SAS providers and SI partners to perform migration to the Cloud much easier in a flexible format for their customers. >> What can you tell us, any kind of metrics you can give us around your business to give a sense of the scope, the scale? >> Well, of our business, (Dave laughs) one of the driving factors here, Gardner says that about 2023, I think, 40% of the enterprise workloads will be deployed in the Cloud, which is all fine and dandy, except in my head, you're just trading one set of complexities for another. Instead of having everything in a glass house and being able to understand that, now you're going, it's in the Cloud, now I need to manage my connectivity there. wait a minute, are my security policies still the same? Do they apply if I'm going across the public internet? What exposure have I just bought into myself to try to run this? The platform really aims at normalizing that as much as possible. If you're directly connected to AWS, at the end of the day, that's a really long ethernet cable. So your a glass house just got a lot bigger, but you're still able to maintain and use the exact same policies and procedures that you've been using. That's really one of our guiding principles, is to reduce that complexity and make it very simple for the user. >> I understand that, cause in the early days of Cloud, a lot of enterprises, the CIOs, they were concerned about security, then I think they realized, ah, AWS has pretty good security. CIA is using it. But still people would say to me, it's not that it's best security, it's just different. You know, we move slow, Dave. How do you accommodate, there's that diversity, I mean, AWS is obviously matured, but are you suggesting that you can take my security edicts in my glass house and bring those into your networks and ultimately into the Cloud? Is that how it works? >> That's the goal. It's not going to be a panacea more than likely, but the more edicts that we can allow you to bring across and not have to go back and revamp and, the better for you as a customer and the better really for us, because it normalizes things, it makes it much easier for us to accommodate more and more users. >> And is it such now in the eco, is all the diversity in the ecosystem, is it such that there's enough common patterns you guys can accommodate most of those use cases? >> Yeah, absolutely. One of the key components is the fact that the platform runs on our MPLS network, which is inherently secure. It's not on the public internet anywhere. We do have internet on demand capability. So in the event that a customer wants access to the internet, no problem. We can accommodate this. And we also have 5G capability built into the platform to allow flexibility of location and flexibility of, I would say, standing up new customer locations. And then the other component of the security is the fact that the customers can bring their own security and apply anywhere. We're not blocking, we don't have any port filters or anything of this nature. >> If would think 5G actually, I could see people arguing both sides, but my sense is 5G is going to be a huge driver for your business cause it's going to just create so much more demand for your services, I think. I can see somebody arguing the counter about it. What's your point of view on that? >> No, I think that's a fair assessment. I think it's going to drive business for everyone here on the show floor and it's pushing those workloads more toward the edge, which is not an area that people were typically concerned with. The edge was just the door that they walked through. That's becoming much different now. We're also going to start seeing, and we're already seeing it, huge trends of moving that data at the edge rather than bringing it all the way back to a central warehouse and help ending it. The ability to have a dynamic platform where you can see exactly what your network's doing and in the push of a button, modify that, or provision new connectivity in response to how your business is performing. >> Yeah, ultimately it's all about the applications that are going to be driving demand for more data. That's just a tailwind for you guys. >> Yeah. You look at, some of the car companies are coming on, Tesla, you're drive around with like eight CPUs and I think communicating back over the air. >> Dave: Yeah, right. >> You start scaling that and you start getting into some some real bottlenecks. >> Amazing business you guys having obviously capital intensive, but once you get in there, you got a big moat. That is a matter of getting on a flywheel and innovating. Guys, congratulations on all the progress and so much for coming on theCUBE. >> Thanks for the time. >> Thank you very much. >> Great to meet you guys. Good luck. All right, thank you for watching. This is Dave Vellante for theCUBE, the leader in High-Tech Coverage. We'll be right back. (upbeat music)

Published Date : Dec 2 2021

SUMMARY :

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Garrett Lowell & Jay Turner, PCCW Global | AWS re:Invent 2021


 

(upbeat music) >> Welcome back to Las Vegas everybody. You are watching theCube's coverage of AWS reinvent 2021. I'll tell you this place is packed. It's quite amazing here over 20,000 people, I'd say it's closer to 25, maybe 27,000. And there's a little overflow, lots going on in the evenings. It's quite remarkable. And we're really happy to be part of this. Jay Turner is here, he's the vice president of development and ops at PCCW Global. He's joined by Garrett Lowell, vice-president of ecosystem partnerships for the Americas at PCCW Global. Guys, welcome to theCube. Thanks for coming on. >> Thank you so much. >> So, Jay, maybe you could take us through for those people who aren't familiar with your company, what do you guys do? What do you all about? >> Yes, so PCCW Global is the international operating wing of Hong Kong Telecom. So if it's outside of Hong Kong, it's our network. We've got about 695,000 kilometers of diverse cable. We've got about 43, 44 terabit of capacity. Came into business in 2005 if my brain is serving me correctly right now. So we have a very diverse and vast portfolio ranging all the way from satellite teleports, all the way to IP transit. We're a tier one service provider from that perspective as well. So we do one of everything when it comes to networking and that's really what was the basis of Console Connect, was inventing a platform to really enable our users to capitalize on that our network and our assets. >> Okay, so 2005, obviously you predated cloud, you laid a bunch of fibers, it's getting in the ocean, I mean, global networks, I mean, there was a big trend to do that and you had to think, you had to go bigger or go home and that business. >> Jay: Yes you had to do. >> So and Console Connect is your platform, is that right? So explain. >> Yeah, sorry. Yeah, Console Connect is our software defined interconnection platform. So we built a user self-service portal. Users can allocate ports, they get the LOAs issue to them directly from the platform. And then once they've got an active port or they've come in via one of our partnerships, they can then provision connectivity across our platform. And that may be extending to their data centers or extending or their branch office, or it could be building a circuit into the cloud via direct connect, could be building a circuit into an internet exchange. And all of those circuits are going to be across that 685,000 kilometers of diverse fiber rather than going across the public internet. >> So, when you started, it took some time obviously to build out that infrastructure and then the cloud came into play, but it was still early days, but it sounds like you're taking the cloud model, AWS Cloud model and applying that to your business, eliminate all that undifferentiated, heavy lifting, if you will, the visioning and management. >> Yeah, we've heard many people and that's kind of the impetus of this was, I want to be directly connected to my end point. And how do I do that? And AWS, yes, they had direct connect, but figuring out how to do that as an enterprise was challenging. So we said, hey, we'll automate that for you. Just tell us what region you want to connect to. And we'll do all the heavy lifting, and we'll just hand you back a villain tag. You're good to go. >> So it's a classic case of, okay, AWS has direct connect, people they go, "Ah, that's directly competitive, but it's not, you're adding value on top of that." Right. So describe where you fit Garrett inside of the AWS ecosystem. You look around this hall and it's just a huge growing ecosystem, where you fit inside of that ecosystem and then your ecosystem, what's that like? >> Okay, so where we fit into the AWS ecosystem, as Jay alluded to, we're adding value to our partners and customers where they can come in, not only are they able to access the AWS platform as well as other cloud platforms, but they're also able to access each other. So we have a marketplace in our platform, which allows our customers and partners to put a description of their services on the marketplace and advertise their capabilities out to the rest of the ecosystem of PCCW Global and Console Connect. >> Okay, so and you're doing that inside of AWS? I that right? Or at least in part? >> No, that's not inside of AWS. >> Okay, so your platform is your platform. >> Yes. >> And then, so your relationship with AWS is to sort of superpower direct connect, is that right or? >> So we're directly connected to AWS throughout the globe. And this allows our customers and partners to be able to utilize not only the PCCW Global network, but also to expand that capability to the AWS platform in clouds. >> Wherever there's a cloud you plug into it? Okay. >> That's correct. >> And then another advantage there is the customer, obviously doesn't have to be directly co-located with AWS. They don't have to be in the same geographic region. If for some reason you need to be connected to US West, but you're in Frankfurt, fine, we'll back all the traffic for you. >> Does that happen a lot? >> It actually does. >> How come? Why, what's the use case there? >> Global diversity is certainly one of them, just being able to have multiple footprints. But the other thing that we're seeing more of late is these cloud-based companies are beginning to kind of be attracted to where their customers are located. So they'll start seeing these pockets of use and they'll go, well, okay, we're going to go into that region as well, stand up a VPC there. And so then we want to our customers then being able to directly connect to that asset, that's closest to them. And then still be able to back call that traffic if necessary or take it wherever. >> What are the big, sort of macro trends in your business? I mean, broadly you see cost per bit coming down, you see data consumption and usage going through the roof. How does that affect you? What are some of the big trends that you see? >> I think one of the biggest ones and one that we targeted with Console Connect, we were hearing a lot of customers going, the world's changing so dynamically. We don't know how to do a one-year forecast of bandwidth, much less a three-year, which is what a lot of contracts are asking us for. So we said, hey, how about one day? Can you do one day? (Dave laughing) Because that's what our granularity is. So we allow for anything from one day up to three years right now, and then even within that term, we're dynamic. So if something happens, suddenly some product goes through the roof and you've suddenly got a spike in traffic. If a ship drags its anchor through a sub sea cable, and suddenly you're having to pivot, you just come into the platform, you click a couple of buttons, 20 seconds later, we've modified your bandwidth for you, or we've provisioned a new circuit for you. We've got your backup going whatever. Really at the end of the day, it's the customer paying for their network, so the customer should be the one making those decisions. >> How's that affect pricing? I presume, so I can have one date or a three-year term. Presume if I commit to three years, I get a better deal, is that right or? >> You do, but I mean, at the end of the day, it's actually pretty much a moderate, a better deal. We don't want to force the hand of the customer. So yeah, if you signed a 12 month contract with us, we're going to give you a 3% discount. >> Yeah, so it's not really, that's not a motivation to do it. Is just you want to reduce the transaction complexity. And that's why you would sign up for a longer term not to get the big discount. >> Correct. And then, like I said, even within a longer contract, we're still going to allow you to flex and flow and modify if you need to because it's your network. >> What kind of constraints do you put on that? Do I have to commit to a floor and then everything above that is I can flex up? Is that how it works? Okay. And then the more I commit to the better the deal is, or not necessarily? >> No, it's pretty much flat, right. >> So, okay. So I'm going to come in and I'm going to say, all right, I know I'm going to use X, I'll sign up for that and anything over it. You're pretty flexible, I might get a few points if I sign up for more, somebody might want to optimize that if they're big enough. >> And another really neat advantage, and the other complaint we heard from customers, they go, I need three different direct connect, or I need to be connected to three different parties, but I don't want to run three different cross-connects and I don't want to have three different ports. That's just an expense I don't want. And we say, fine, take your one gig port, run one gig of services on it, if that's 20 different services, we're fine. So we allow you to multiplex your port and provision- >> It's awesome. I love that model. I know some software companies who I would recommend take a look at that pricing model. So, Garrett, how do you segment the ecosystem? How do you look at that way? Maybe you could draw paint a picture sort of the, the ideal partners and what they look like. I know there's not just one category, but. >> Sure, so our ideal partners are internet exchanges, cloud partners, and SAS providers, because a big piece of our business is migration to the cloud. And the flexibility of our platform allows and encourages our SAS providers and SI partners to perform migration to the cloud much easier and flexible in a flexible format for their customers. >> Yeah, so what can you tell us, any kind of metrics you can give us around your business to give a sense of the the scope, the scale. >> Well, of our business, kind of one of the driving factors here, Gardner says that about 2023, I think 40% of the enterprise workloads will be deployed in the cloud, which is all fine and dandy, except in my head, you're just trading one set of complexities for another. So now, instead of having everything in a glass house and being able to kind of understand that now you're going, well, okay, so it's in the cloud now I need to manage my connectivity there. And, oh, well, wait a minute, are my security policies still the same? Do they apply if I'm going across the public internet? What exposure have I just, bought into myself to try to run this? So the platform really aims at normalizing that as much as possible. If you're directly connected to AWS, at the end of the day, that's a really long ethernet cable. So you're a glass house just got a lot bigger, but you're still able to maintain and use the exact same policies and procedures that you've been using. So that's really one of our guiding principles is to reduce that complexity and make it very simple for the user. >> Well, I don't understand, 'cause in the early days of cloud, a lot of enterprises, CIO they were concerned about security. And I think they realized that AWS has pretty good security, well, CIA is using it. But still people would say to me, it's not that it's bad security, it's just different. We move slow, Dave. So how do you accommodate, now I don't know, does that diversity, I mean, AWS has obviously matured, but are you suggesting that you can take my security edicts in my glass house and bring those into your networks and ultimately into the cloud? Is that kind of how it works? >> That's the goal. It's not going to be a panacea more than likely, but the more edicts that we can allow you to bring across and not have to go back and revamp and the better for you as a customer and the better really for us, because it normalizes things, it makes it much easier for us to accommodate more and more users. >> It is such now in the eco, it was all the diversity in the ecosystem. Is it such that there's enough common patterns that you you guys can kind of accommodate most of those use cases? >> Yeah, absolutely. I think the, one of the key components is the fact that the platform runs on our MPLS network, which is inherently secure. It's not on the public internet anywhere. Now we do have internet on demand capability. So in the event that a customer wants access to the internet, no problem, we can accommodate this. And we also have 5G capability built into the platform to allow flexibility of location and flexibility of... I would say, standing up new customer locations. And then the other component of the security is the fact that the customers can bring their own security and apply anywhere. So we're not blocking, we don't have any port filters or anything of this nature. >> Well, I would think 5G actually, I mean, I could see people arguing both sides, but my sense is 5G is going to be a huge driver for your business, 'cause it's going to just create so much more demand for your services I think, I could see somebody arguing the counter, but what's your point of view on that? >> No. I think that's a fair assessment. I think it's going to drive business for everyone here on the show floor. And it's pushing those workloads more toward the edge, which is not an area that people were typically concerned with. The edge was just the door that they walked through. That's becoming much different now. And we're also going to start seeing, and we're already seeing it, huge trends of moving that data at the edge, rather than bringing it all the way back to a central warehouse in Hare pending it. So, again, the ability to have a dynamic platform where you can see exactly what your network's doing and in the push of a button, modify that, or provision new connectivity in response to how your business is performing. >> Yeah, and ultimately it's all about the applications that are going to be driving demand for more data. And that's just a tailwind for you guys. >> Yeah, yeah and then you look at some of the car companies are coming on, you know, Tesla, you're driving around with like eight CPU's in that thing, communicating back over the air. >> Dave: Yeah right. >> You start scaling that, and you start getting into some real bottleneck. >> Amazing business you guys having, obviously capital intensive, but once you get in there, you've got a big moat, and then it's a matter of getting on a flywheel and innovating. Guys, congratulations on all the progress and thanks so much for coming on theCube. >> Yeah. No, thanks for the time. >> Thank you very much. >> Yeah, great to meet you guys. Good luck. All right. Thank you for watching. This is Dave Vellante for theCube, the leader in high-tech coverage, right back. (upbeat music)

Published Date : Dec 2 2021

SUMMARY :

Jay Turner is here, he's the Yes, so PCCW Global is the and you had to think, So and Console Connect is get the LOAs issue to them that to your business, and that's kind of the inside of the AWS ecosystem. not only are they able to Okay, so your platform but also to expand that capability you plug into it? They don't have to be in are beginning to kind of be attracted What are some of the and one that we targeted Presume if I commit to three at the end of the day, And that's why you would and modify if you need to Do I have to commit to a floor So I'm going to come in and and the other complaint segment the ecosystem? And the flexibility of our platform allows Yeah, so what can you tell us, kind of one of the driving factors here, So how do you accommodate, and the better for you as a customer that you you guys can kind of accommodate So in the event that a So, again, the ability to that are going to be driving at some of the car companies and you start getting Guys, congratulations on all the progress Yeah, great to meet

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Show Introduction | Commvault Connections 2021


 

(gentle upbeat music) >> Hello, everyone, and welcome to theCUBE's coverage of Commvault Connections 21. My name is Dave Vellante and I'll be hosting the program today. I want to start with a bit of an assessment on the keynotes that we heard this morning, but before I get into that, I want to set the framework for thinking about Commvault as a company. This company has been around for a long time, since the late 1980s, but really came into prominence in the client server era and it has ridden numerous waves, including network backup and recovery, data management, and now cloud data services. It's a company with more than $700 million in revenue and a market value of nearly $3 billion. Since coming on as CEO, Sanjay Mirchandani has embarked on moving the company towards a subscription model, focusing on optionality for on premises, hybrid and cloud workloads. It's launch of metallic and data management as a service are two components that underpin the strategy. At his keynote earlier today, Mirchandani drew on his experience as both a former CIO and current CEO roles to connect with his audience. His major themes hit on data, the value of data, and the imperative to get control of your data. Of course, data protection has become a fundamental component of digital transformations. For years, data protection was an afterthought or a bolt on, but today, organizations are forced to think about their digital stacks in their entirety, which means they have to build resilience into their platforms from the start. Mirchandani said that if we embrace, manage, and properly protect data, it will become the defining disruptive difference for an organization. But he talked about the gap between what the business wants to do and what the technology teams are actually equipped to do and when it comes to data, I couldn't agree more. He called this the business integrity gap and I'll come back to that. He also put out some fun facts and I'll share those here. According to IDC, 64 zettabytes of data was created and replicated in 2020. That's the equivalent of 2 trillion 4K movies. That's a lot of data. Gardner says by 2025, 85% of business will be delivered through SAS applications. Sophos, the security firm, estimates that the average cost of a ransomware attack is approaching nearly $2 million. The security company Proofpoint did a survey and 64% of surveyed CSOs felt that they were at risk of a material cyber attack in the next 12 months. I'm surprised that number was so, so low. I think the other 36% are busy responding to a cyber attack. Coming back to Sanjay's business integrity gap. Here's how I see it. Data by its very nature is distributed, decentralized, and it's becoming more so with hybrid connections, multicloud installations, and edge use cases. This is only going to accelerate in the future. As such, organizations need to rethink their approaches to getting value from data. Instead of building monolithic data architectures and hyper-specialized technical data teams, organizations are beginning to empower lines of business and domain owners to take end-to-end responsibility for data ownership. The underlying technology platform is becoming an operational detail that serves the data owners, where data protection and governance is computationally automated in a federated model. So the policy is centralized, but the implementation of that policy is done by software. This means that data governance, security, privacy, access, and policy are all adjudicated wherever possible by software and our automated, irrespective of physical location. Data silos are not just a technology problem. They're a symptom of flawed organizational constructs, steeped in the notion that highly technical data specialists and centralized teams should be the stewards of the data and serve multiple lines of business simultaneously, without proper business context. Now, this is changing. Data is being used to create a new class of products and services that can be directly or indirectly monetized, or drive other value, for instance, like saving lives. It's about the organizational mission. Now in this sense, data is undergoing a renaissance, where the responsibility for end-to-end data ownership is being distributed and decentralized, where highly specialized technical teams are becoming enablers for generalists that reside within the lines of business, i.e., those who are building data products and services. This is not shadow IT. It's decentralized management with federated governance. Now, by rethinking the data management paradigm, the responsibility for good data protection policy transcends technical teams and becomes a priority for the entire organization. To that end, Commvault laid out its strategy to deliver a comprehensive set of intelligent data services, spanning data protection, security, compliance, governance, data transformation, and data insights. In my view, a huge part of Commvault's strategy lies in automation. That's a key ingredient of cloud and any cloud strategy. In other words, supporting cloud native and cloud-like data management capabilities that can be programmatically deployed, secured, managed, and governed, and applied across an organization's sprawling data empire. The world of enterprise technology is complex and the winning technology companies are going to be those that can abstract the underlying complexity and assist organizations to implement sound data management practices, irrespective of data location, in the most efficient way. So as you hear the stories and examples here at Commvault Connections, you can decide for yourself if the company is on the right track and if what you hear aligns with your digital business skill goals. So let's now get a practitioner's perspective and hear how the CSO is thinking about data protection. Up next is Dave Martin, Chief Information Security Officer at ADP. You're watching theCUBE. (gentle upbeat music)

Published Date : Nov 4 2021

SUMMARY :

and the imperative to

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Isabelle Guis, Reza Morakabati & John Gallagher | Commvault Connections 2021


 

>>mhm mhm. Mhm Welcome back to convert connections 2021. This is the power panel. My name is Dave vellante joined by Reza more like a body was the ceo of calm vault. Isabel geese is the CMO of calm vault and john Gallagher he leads global enterprise infrastructure at sing Creon. And folks welcome to the cube. Thanks for coming on. >>Thank you. >>Thank you. >>So john we heard you this morning. You know, great job you guys are in the industrial logistics business. So supply chains at all a hot topic today. It's got to be challenging. Maybe you could talk about what you're seeing there, but specifically how are you thinking about data management in the context of your overall IT strategy. >>Okay, thank you. So in terms of data management, Synchrotron has 100 sites globally. So if we were to rewind by say 10 years we had data residing a lot out of those remote sites. Uh so over the last few years were basically consolidated a lot of that data and also centralist. So we've brought that into our data centers that we now have, which is a very, very centralist model. So that, that makes it a lot easier to understand where all of that data resides. >>So in the decision pie, as it relates to data, it sounds like cost efficiency is pretty, pretty ranks pretty highly. How does that impact your data management strategy and approach? I mean, is is that like the number one consideration? Is that one of many factors. How should we think about that? >>I would say cost is one of many factors. So obviously cost is key, but you don't want to introduce unnecessary risks. So you've got to keep costs at the forefront. But that's just one of the factors. Obviously data protection is one of the factors ensuring that data is protected and safe. And also understanding, is that exactly where that data resides, making sure that data is encrypted. So I would say that cost is just one of the factors. >>So Isabel good to see you again. I wonder if you could talk about how you're seeing your customers and what they're thinking about, how they're thinking differently about data management today, Are they changing the way they manage data giving given the escalation of ransomware that comprise the called the forced march to digital over the last 18, 19 months, but you've got new threats, new business dynamics, how is that affecting organizations? >>It does, it does affect them a lot. It's um we see a lot more. Actually, I asked a lot of virtual coffee talks with our customers so they can share best practices and a lot of C IOS network ending end with sizzles and they have a readiness plan because they know the question is not if they're going to have an attack, but when and how to recover from it is critical. So all the security team is really looking at the prevention but they know that if they can't stop it all, then they have a plan of end of to the data team for recovery. I see a lot more thoughtfulness because not all data is created equal. So which one is in the cloud and you can recover which one you need fast for minimum business was sorry, minimum business disruption and you keep on prime and which one you cannot lose and you have a go. So we see a lot more planning, a lot more collaboration across all verticals. We have also new services that help customers before the attacks to design and plan and also helping them post attack to recover so very much and to end and as we've seen the king out right now it's all about the people enabling them to do the business while you're risking the business too. So >>All right, thank you for that. So Reza and the fact that your Ceo is C I O. Uh so you must have some interesting conversations there but and you can be a sort of tap Sanjay's brain, how did you handle this kind of thing? And and uh that's a nice collaboration I bet. But what advice can you give to other, see IOS or grappling with cyber threats, data volumes and just the ongoing pressure to do more with less that never changes does it? >>It doesn't. And you're absolutely right. And I obviously as part of my job attracted benchmarks about budgets and everything else that before the pandemic used to track about like 3% growth year over year which is a hard to kind of do a whole lot with them. Um What what I can tell you is not for C I O not two areas the areas of investments are not created equal and from my perspective the biggest areas of investment for somebody like me in my position should be data and protecting the data. So that means that you have to find ways of on the budget side, find ways of shifting money whether you reallocate resources, whether you reform or a really organized differently, automate simplified etcetera. My background is operation so when you talk about people process technology outside of things, I leave the technology to the people that are really good at it and I focus on people and process side and for me that's about again efficiencies and finding ways that you can reorganize, you probably have the people that do the work that you want them to do and you just have to think about reorganizing them differently. And the last thing I said is prioritize prioritize initiatives across the board and it is like partner in crime in these things and we don't always say yes to her and what she wants because we need to be transparent so where we put our money >>so rest, I want to stay with you for me, I want to talk about data sprawl was interesting john during your session this morning I was sort of laying down some of my thoughts because I I feel like data sprawl, it's like social change. You can't fight it. You can maybe, you know for a period of time control it. But data is is out of control. So how do you address data sprawl in an organization? Both from a management perspective there's obviously risk. Somebody said this morning we used to keep, I think it was the C. I. A. In New Jersey. We used to keep everything forever. But that's risky. So how do you deal with that result from an organizational and management perspective? >>Yeah. You again, I'm gonna have to agree with you. As as I said in in a morning session, I like it's a natural phenomenon for a company to go through it. I've seen it in companies that are 150% people and I've seen it in companies that have tens of thousands of people. It's like a foundation onto what what entropy is in thermodynamics. It's the natural order of events. If you don't apply structure, organization data is going to go haywire and everything else. The only way. The best way that I know when the pendulum is here and everybody is doing the wrong thing is to push the pedal on the other side at least for a while to centralize, pick a few of your brightest people that know the data in and out, put them in a team and say you're responsible for making sense out of these things. Identify sources of truth for us and architect them differently. But but start with executive level metrics and board level metrics and push them down. >>So I see. I I agree with that with that. I think the people who have the data context are in the best position to add value as to whether it's data quality and how to get the most out of that data. But the problem is uh john I'd love to pick your brain on this. Especially your urine mia. You got all these different regulations and data silos, which I believe are a byproduct of how we organize. Uh, but but anyway, you have a lot of the considerations to deal with whether it's G. D. P. R. Or or or or data sovereignty etcetera. How do you approach that? >>So one of the first approaches we took when we moved over to con vault with our data protection was to reduce the number of products we used for the data protection. So we had six products through various acquisitions that we, we've done over the last 10-15 years. We've now reduced that six products down to one single product. So it means that all of your data is managed through a sort of single pane, which definitely gives you a much better insight. And also just going back to the costs that you mentioned in the previous question. Obviously going down from six products to one product, we managed to strip around $500,000 out of our costs over three years. We also moved data like I said into the center and allowed us to also concentrate the teams. So also the teams became more efficient because less people were dealing with that data as well. But yes you are right around GDP are there is definitely compliance to be considered and you just have to make sure you're up to date on all of those compliance regulations. >>So it's interesting resident here you talk about you know Isabelle, she's got needs but I would say Isabel that you probably know in your team, you know the marketing data better than anybody but there's got to be Federated governance, you've got to enforce policy in this data sprawl world. So anyway this is sort of a side but Sanjay Isabelle talk today about as a service growing like crazy and given your background I wonder if you can share any insights about how and why you think customers are going to be looking towards SAs I mean the whole world is becoming SAs ified you had some data on that this morning from, from Gardner. What are your thoughts? >>Yeah, no, absolutely, you're right experience this percent coming from cell phones and yes angie mentioned in the keynote by I think 2025 85% of business will be delivered through SAAS apps and that's very simple look at the world today the market dynamics of business changes. You mentioned the supply chain is you were talking you know all the line of business people of the business executives have to change fast. And the fastest way to do that is SAS because it has speed agility and you get the value faster problem being then it becomes very complex or I. T. Because you have workloads in multiple clouds on premise multiple apps and and what convo stands for and what everybody should look at is being able to enable all this innovation but at the same time removing the complexity for I. T. To protect this data to recover it and that's really where you know we're focusing our attention that is unavoidable. It's all about business and gT but it doesn't mean that you should compromise on data management. Yeah. >>Yeah I think you know we gotta we have to wrap here but I think the model, you know again it's about you coming from salesforce, we've contextualized our operational systems. You know, whether it's you know the sales cloud, the logistics, cloud, it's the lines of business actually have a good handle on this. And where I see the role of calm vault is that that notion of Federated governance, you've got to have centralized policy but you've got to programmatically and automate that out to the lines of business and I think that is kind of where the where the future is headed. Uh And I think that's really kind of controlled strategy. I'm hearing a lot on automation cloud like services and pushing that out. Um And so I see a new era in data coming and you guys talked a lot about this but but Isabelle will give you the last word. Put a put a bumper sticker on the on the panel for us. >>Well absolutely. I mean you said it's not left for no workload, sorry, it should be left behind and that's why you know you need a single architecture. I think businesses is changing fast and it's exciting. Uh And as long as you know you got a great I. T. Team with a great plan to have your back as a business leader. Every company should really embrace um all the change and innovation. So thank you day for for giving me the last world >>go. Thank you guys. I really appreciate you coming on the cube has been a fun day. We got more here that convulsed connections, keep it right there. We're gonna come back right after this short break my nose and I are going to wrap up and summarize the day. Yeah

Published Date : Nov 1 2021

SUMMARY :

Isabel geese is the CMO of calm vault and john So john we heard you this morning. So that, that makes it a lot easier to understand where all So in the decision pie, as it relates to data, it sounds like cost efficiency is pretty, but you don't want to introduce unnecessary risks. So Isabel good to see you again. So which one is in the cloud and you can recover which one you need fast for minimum I O. Uh so you must have some interesting conversations there but and you can be a sort of tap So that means that you have to so rest, I want to stay with you for me, I want to talk about data sprawl was interesting john during your that know the data in and out, put them in a team and say you're responsible for making sense are in the best position to add value as to whether it's data quality and how to get the most out of that data. And also just going back to the costs that you mentioned in the previous question. I mean the whole world is becoming SAs ified you had some data on that this morning from, You mentioned the supply chain is you were talking you know all You know, whether it's you know the sales cloud, the logistics, So thank you day for for giving me the last world I really appreciate you coming on the cube has been a fun day.

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Accelerating Transformation for Greater Business Outcomes


 

>>Welcome back to our coverage of HBs. Green Lake announcement's gonna talk about transformation acceleration, who doesn't wanna go faster as they're transforming, right? Everybody is transforming and they want to go as fast as possible to get time to value keith White is here, he's the senior vice president and general manager of Green Lakes commercial business at HP. Michelle LaU is Green Lake cloud services solutions at HP gents. Welcome. Good to see you >>awesome to be here. Thanks so much. Great to be here. >>Dave keith, we've we've been talking virtually for >>quite some time now. >>Q three earnings beaten raise uh focusing on, you know, some real momentum uh want to understand where it's coming from. A r I've said it's headed toward a billion, I think you said 700 million was where you were at last quarter, 1100 customers, orders were up 46%,, Last quarter revenue up over 30%. Where's the momentum >>coming from? No, it's fantastic. And I think what you're seeing is, you know, the world is hybrid. So in essence customers are looking for that solution that says, hey, mere my public cloud with my on premise scenario and give me that hybrid solution and we're just seeing just tremendous momentum and interest across a variety of workloads across a variety of vertical solutions and frankly we're seeing customers basically uh lean in on really running their business on HP. Green Lake, so you know, we had a pretty exciting announcement with the s a a couple weeks back, $2 billion deal, um but again, this shows the value of what Green Lake and the on prem requirements are high level of security, high level of capability? They're doing analytics on all the data that's out there. I mean this is the number one intelligence agency in the world. Right? So super excited about that and it just validates our strategy and validates where we're going. Um the other thing that's really exciting is we're seeing a lot of customers with this whole S. A. P migration, right? Um so ongc, one of the largest oil and gas companies in India, I want to say it's one of the top five S. A. P. Implementations in the world has chosen. Green Lake is their opportunity as well, huge retailers like wal wars. Uh so worldwide we're seeing tremendous momentum. >>That's great. Congratulations on the momentum. I know you're not done uh Michelle new role for you. Awesome. Um when we covered uh discover this year in the cube, we talked about sort of new workload solutions that you guys had. Uh S. A. P. As keith was just mentioning Ml Ops V. D. I. A number of of those workloads that you were really focused on the solution side. How's that going? Give us the update there? >>No, it's coming along really well. I mean you highlighted some of the big ones there. I mean the way we are thinking about Green Lake. Right? I mean, you know, we talked about the great momentum that we've had. The question is why are we having that right? Why are missing that momentum in the market? And I think I'll kind of call out a few features of the green platform that's really making it attractive to customers. Right? What is the experience? What we're trying to do is make it a very, very seamless experience for them? Right. Quick provisioning, easy to manage, easy to monitor, kind of an automated solution. Right? So that's kind of a key element of what we're trying to offer performances. Another one. Right? I mean, the end of the day, what we're doing is we are building out our infrastructure stack and the software stack in such a way that is optimized for the performance. Right? I mean, if you take data for example, it's called the right elements to make sure that the analytics can be done in a machine learning algorithms can be run. So those are like, you know, some of the performance, I think it's a great experience is a big factor. Tco right? I mean customers are very, very focused on their cost base. Right? Especially as they are starting to run up the bills in public cloud. They're like, man, this is expensive, I need to start thinking about costs here because costs catch up pretty fast. So that's kind of another element that people are really focused on and I would say the last one being choice. Right? I mean we provide this platform which is open. Alright. So customers can use it if they want to migrate off it, they can migrate off it. We're not locking them in. So those are some of the value propositions that are really resonating in the marketplace and you're seeing that in the numbers that we just talked about. >>So keep speaking of transformation you guys are undergoing obviously a transformation your your cloud company now. Okay, so part of that is the ecosystem. The partners talk about your strategy in that regard, why you're so excited about welcoming the partners into this old Green Lake world, >>you bet and you know I'm a big fan of one plus one equals three. My seven year old daughter tells me that doesn't actually add up correctly but at the same time it's so true with what we're doing and as official just said an open platform that allows partners to really plug in so that we can leverage the power of S. A. P. Or the power of Nutanix. So the power of Citrix at the same time, all of these are solutions that require, you know deep system integration and capabilities to really be customized for that customers environment. So whether that's infosys or accenture or we pro you know that we need we need those partners as well along with our own advisory and professional services to help customers. But at the same time, you know we talked about the fact that this is really about bringing that cloud experience to the on prem world might be a data center but we're seeing a lot of customers get out of the data center management business and move into a Coehlo. And so the fact that we can partner with the ECU annexes and the Cyrus ones of the world really enable a whole new environment so that customers again can run their business and not get caught up with keeping the lights on and managing power and those types of things. And then finally I'll say, look, the channel itself is actually migrating to offer more services to their customers managed service providers, telcos, distance and resellers and now what we're providing them is that platform with which to offer their own manage services to customers in a much more cost effective cloud experience way with all the benefits of being on prem secure latency app integration and that sort of thing. So it's exciting to see the ecosystem really gate Gardner the momentum and really partner with us closely >>follow up on the partner question if I could. So partner services are part of Green Lake. It's a journey, not everything all at once. Uh but so it's essentially as simple as saying, okay, I want that service, that's my choice. Uh you've given them optionality and it's ideally as seamless as it is in HP services, that the direction that you're >>going. That's right, yeah. So the set that api set that Stalin team are building are basically saying, hey, leverage our cost analytics capabilities, leverage our capacity management, leverage the interface so that you can plug into that single control plane. And so they're making it super simple for our partner ecosystem to do that. And what I think is really important is that if you are a partner, you want to basically offer choice to the customer and if the customer decides, hey, I want to use um red hats open shift for the container platform versus rs morale offering, then they can get just as good of a first class offering with respect to that. Someone wants to use Citrix or Nutanix or VM ware for their video solution. They have that choice. And so we want to make sure we're offering customer choice for what's best for their situation, but also making sure that it's fully integrated with what we do. God thank >>You. So we see more software content of the show. I wonder if you could. I mean certainly as morale is a big piece of that. I talked earlier about margins hit record for HPE. Almost 35% gross margins. This course of software is gonna obviously push that further along um, Lighthouses, another one. How should we think about the direction that you're going >>software. Absolutely. So if you think about what we are building out here is a solution, right? This is solution that's very tightly integrated between the infrastructure stack and the soft and this software that enables it. So really there three or four components to the solution day. Right. So think about Lighthouse, which is an infrastructure stack that is optimized for what's going to run on that. Right? If it's a general purpose compute it will the infrastructure will look different. If it's a storage intensive workload, it will look different. If it's a machine learning workloads will look different. Right? So that's kind of the first component and just optimizing it for what's going to run on it. Second is, um, what we call the Green light platform, which is all about managing and orchestrating it. And what we want to do is we want to have a completely automated experience right from from the way you provisioned it to the way you run the workloads to the way you manage it, to the way you monitor it to the way partners link into it. Right to the way in the software vendors kind of sit on top of that. Right. And then we talked about escrow as well as the engine that runs it right from a container platform perspective or we spend some time talking about unified analytics today. Those are the types of data integration that power Green Lake and the last piece of software I would say is as we kind of think about the ecosystem that runs on top of Green Lake, whether it's our software or third party software. Right? They all have a place equal place on top of the green light platform. And we are very focused on building on the ecosystem. Right? So as a customer or an enterprise who wants to use you should have the choice to run you know 40 50 102 105 100 different software packages on top of Green Lake. And it should be all an automated fashion. But we have tested that in advance. There's there's commercials behind that. It becomes a very very self service provision, seamless experience from the customer's perspective. >>Great. Thank you. So keep 2020 was sort of like sometimes called the force marched to digital right? And some some customers they were already there. Uh so there's a majority now that we've been through this awful year and change, customers are kind of rethinking their digital strategies and their transformations that there can be a little bit more planned fel now you know the world didn't end and and you know I. T. Budgets kind of stabilized a bit actually, you know did better than perhaps we thought. So where are we in terms of transformations? What's the business angle? What are you seeing out there? >>Yeah. I mean customers found a lot of holes that they had in their environment because of the pandemic. I think customers are also seeing opportunities to grow pretty aggressively. You know we just announced Patrick terminals, one of the largest shipping companies in south pack and you know that whole shipping craziness that's going on right now they needed a new digital transformation in order to really make sure they could orchestrate their container ships effectively. Even we talked about Woolworth's there now, changing how they deal with their suppliers because of the Green Lake platform that they have. And so what you're seeing is, hey, you know, first phase of digital transformation public cloud was an interesting scenario. Now they're being able to be planned for like you said and say, where's the best place for me to run this for the latency required with that data, for the choice that we have from an I. S. V. Standpoint, you know, for the on prem capabilities of what we're trying to do from a security standpoint etcetera. So the nice thing is we've seen it move from, you know, hey, we're just trying to get the basic things modernized into truly modernizing data centers, monetizing the data that I have and continuing to transform that environment for their customers, partners, employees and products >>kind of a left field question a bit off topic, but certainly related edge. You guys talk about edge a lot. Hybrid is clear. I think in people's minds you've got an on prem you're connecting to a cloud maybe across clouds? Is edge an extension of hybrid or is it today sort of a bespoke opportunity that maybe we'll come back to this new version of cloud, What's happening at the edge >>that you see? Yeah. So let me just uh I mean think of the edge as it's a continuum. Right? The way at least we think about it, it's not data center or the edge. Right. Think of it as, you know, there's a data center, uh there's a hyper scale data center, there's a data center, there's a closet somewhere, right? There's a cola opportunity, Right? And then you're running something in the store. Right? So let's take the example of a retailer. They're running something in the store and what are they running? They're running? Point of service applications or they're running IOT devices. Right. And at some point they have to connect back into the cloud. Right. So we actually have, you know, something to find van capabilities that connect, you know, uh you know, the Edge devices or edge analytics back into the cloud, we actually have a small form factor kubernetes um operating system that runs on the edge. Right. So we think of all of that as kind of a distributed environment in which Edge is one place where the application runs and where the data sites but it needs to be connected back and so we provide the connectivity back, we provide the mechanism by which we run it and then there's a security model, especially around sassy that is emerging on securing that. So that's kind of how we think about it as part of the overall distributed architecture that we are building and that's where the world will be >>another node in the cloud. >>Another note in the distributed world. Exactly >>yeah. I think the other thing to think about with the edges that this is where the majority of your data is actually getting created. Right? You talked about IOT devices, you know, you'll hear from Zen's Act and what they're doing with respect to autonomous driving with vehicles. You know, we talk about folks like ab that are building the factory of the future and robotics as a service in order to be able to really make sure that that precision happens at that at that point. So a ton of data is coming from that. And so again, how do you analyze that? How do you monetize that? How do you make decisions off of it? And it's it's an exciting place for us. So it's great to have all the connectivity we talked >>about last question, maybe both could address it. Uh we've we we used to see this cadence of of products often times in the form of boxes come out from HP and HP. Now we're seeing a cadence of services, we're seeing more capabilities across this, this this this green lake uh state that you guys are building out. What should we expect in the future? What are the kinds of things that we should evaluate you on? >>Well, I'll start and then maybe you can jump in but you know, the reality is we are becoming much deeper partners with our customers right there looking to us to say help me run my data center, help me improve my data and analytics. Help me at the edge so that I can have the most effective scenario. So what you're seeing from us is this flip from hardware provider into deep partnerships with that with the open platform. I'd say the second thing that we're doing is we're helping them fuel that digital transformation because again, they're looking for that hybrid solution. And so now they're saying, hey HP come and showcase all the experience you have from point next from your advisor and professional services and help me understand what other customers are doing so that I can implement that faster, better, cheaper, easier, etcetera. And then from a product standpoint, kind of a ton of great things. >>That's exactly right. I mean uh we are taking a very, very focused customer back view as we are looking at the future of Green Lake. Right. And exactly the way kids said, right, I mean it's all about solving customer problems for us. Some customer problems are still in the data center, some of them are in close, some customer problems are in the edge. So they're all uh fair game for us as we think about, you know, what we are going to be building out and do your point earlier. Dave it's not about, you know, a server or storage is the institutions right. And the solutions have to have integrated hardware, integrated software, staff, integrated services. Right. There are partners who sell that, who service that and all that entire experience from a customer perspective has to be a seamless. Right? And it's just in our cloud platform, we kind of help the customer run it and manage it and we give them kind of the best performance at the lowest cost, which is what they're looking for. So that's kind of what you'll see us. You'll see more of a cadence of these services can come out, but it's all going in that direction in helping customers with new solutions. >>A lot of customer problems out there, which your opportunities and you know, generally the hyper scale as they are good at solutions. They don't, you know, there's not a lot of solution folks like that. That's a that's a wonderful opportunity for you to build on on top of that huge gift, that Capex gift >>at the hyper scholars have given us all. That's right. And we're seeing the momentum happen. So it's exciting. That's cool guys. Hey, thanks a lot for coming to the cube. Yeah, Yeah. All right, >>okay. And thank you for watching keep it right there more action from HP. Es Green Lake announcements, you're watching the cube. Mm. Mm

Published Date : Sep 28 2021

SUMMARY :

Good to see you awesome to be here. it's headed toward a billion, I think you said 700 million was where you were at last quarter, 1100 customers, Um the other thing that's really exciting is we're seeing a lot of customers with this whole S. A. P migration, in the cube, we talked about sort of new workload solutions that you guys had. I mean the way we are thinking about Green Lake. So keep speaking of transformation you guys are undergoing obviously a transformation your your cloud company now. And so the fact that we can partner with the ECU annexes and the Cyrus ones of the world really as seamless as it is in HP services, that the direction that you're leverage the interface so that you can plug into that single control plane. I wonder if you could. it to the way you run the workloads to the way you manage it, to the way you monitor it to the way partners strategies and their transformations that there can be a little bit more planned fel now you know the world terminals, one of the largest shipping companies in south pack and you I think in people's minds you've got an it as part of the overall distributed architecture that we are building and that's where the world will be Another note in the distributed world. So it's great to have all the connectivity we talked What are the kinds of things that we should evaluate And so now they're saying, hey HP come and showcase all the experience you have from point next fair game for us as we think about, you know, what we are going to be building out and do your point earlier. They don't, you know, there's not a lot of solution folks like that. at the hyper scholars have given us all. And thank you for watching keep it right there more action from HP.

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Saveen Pakala and Tanu Sood, Nutanix | .NEXTConf 2021


 

(cheerful music) >> Hello. Welcome to this special nutanix.next coverage, theCUBE. We are in our remote studios in Napa today, with some two great guests talking about hybrid multicloud what that costs them. Tanu Sood, who's the senior director of product marketing, attending. Great to see you, and Saveen Pakala, VP of product management for platform at Nutanix. Great to have you on. A lot of cool things happening with hybrid cloud architectures. When people want to have more cloud and want it more invisible, they want it faster, they want it on multiple clouds, AWS, Azure, GCP, and others. So welcome to theCUBE coverage. >> Thanks so much, John. Thanks for having us here. >> Tanu if I start with you first on the, on the, what is driving the hybrid multicloud architecture? Is it just the fact there's clouds out there or are specific things that you're seeing that customers really want that's a need for their business? >> So you're right, John, over the past few years, we've seen cloud investments really taking off. In fact, last year in the midst of the pandemic, when the economy was showing a downturn, cloud spending was up by 30%. So organizations are looking to cloud for speed, for scale, for elasticity and for app modernization. However, the same organizations would also tell you that there are some workloads that will continue to stay on-prem either in the near term or permanently. So what they're really talking about is this hot notion of hybrid cloud, which is interoperability between their on-prem investments, their existing investments, and their public cloud investments. In fact, I would say Gardner in 2020, they did a survey and 75% of organizations actually talked about hybrid cloud being the preferred ID operating model and an overwhelming majority of those 80% who had public cloud in their infrastructure, They had two or more public cloud providers in their space. So that's the multicloud aspect of it. So whether it's happening as a happenstance audit to deliberate ID strategy, what we are seeing organizations take on, is this hybrid multicloud infrastructure. >> It's interesting. It's so funny to see the dynamics of the evolution, cause it's like, oh yeah, we got some thought, I want more cloud. I want more cloud. I want more cloud. Wait a minute. I want to give up the on premises piece. We've got Amazon, we've got- okay, we've got multiple things happening. How do you pull it all together? So Saveen, I got to ask you the blockers. What it is holding back? Because I mean, it's kind of like it happened, right? People replatforming with cloud, they're not giving up their data centers and or the on-premise component. >> Yeah. What's the blocker. Is it inertia? >> Yeah. Is it time? Is it evolution? Is it skills? What's that, what's holding everyone back? >> Yeah, you know, John, over the last several months quarters, what we have seen is that there are four typical issues that sort of come up. When customers start to look at their hybrid multicloud journey, the first one is, how do I move my on-prem applications, workloads to public cloud? Do I need to refactor the applications as I do that? How do I move that application from one cloud to the other and potentially move it back to the data center? And because the other link platform are disparate between these different destinations, it's usually very challenging. The next question then you come up with is Hey, after I move the application to the public cloud, what about management? Right? It, it is going to be different. It has its own island of infrastructure. The management tooling is different, the skillsets required are different, processes are different. So that becomes another challenge. Then comes the service levels. I'm still responsible for all the service levels, from a backup perspective. DR, security, performance that, you know, I was responsible for on-prem. I'm still responsible for those in the public cloud. And then lastly, I would say, you know, customers want to know that their investment is protected, right? As they move the workloads all around, they want to know that the licenses would follow them. They can actually take advantage of the licenses. they've already procured and not have to procure something new just to run the same workload. So those are some of the challenges that we've seen come up. >> I mean, it's always good to chat with you guys because I remember covering Nutanix back in 2010, there was kind of a new thing and everyone got on the same bandwidth and copied the hyperconvergence. And it was very similar on a whole nother level. It seems now there's another inflection point. I want to get your reaction, Tanu. You can, you can weigh in. That'd be great too. And get your reactions. Well, this whole shift from design thinking, which has been great for, for a decade or so to there's a whole other kind of conversation around system thinking and systems thinking is about platforms and it's about outcomes. But now with what you guys are discussing and launching this year, that next, is it's a systems concept. It's distributed computing. This is kind of a new kind of mindset. How do you guys see that evolving in the customer base? And how do you talk about that? Because this is something that is coming up, kind of like that design thinking mantra. It's like systems thinking, think about the impacts. Can you guys weigh in on your reactions to that? >> Oh yeah. So, you know, when you look at the systems level problem, right, it's really that of having the same platform, you know, be available at that multiple locations, wherever you want to run your workloads. That's not the underpin Penang or the foundation, if you will, of your system. And we've done, done just that with clusters, we have basically taken our hyper-converged infrastructure stack plus the hypervisor, plus the management stack, you know, that was running on-prem and we have essentially made it available on the public cloud. Right. So, so that's really the special thing about that is that it's a single infrastructure and single management plane across your private cloud and a public cloud, which really helps organizations to accelerate the hybrid cloud journey. >> And it was the impact for customers could be next, if you have that single layer, it's unify. >> Yeah. I mean, it's, it's a, you know, the problems and the challenges that I mentioned earlier, customers will be able to address all of them with, by leveraging something like flustered, sorry, customers will be able to deploy their workloads on private cloud or public cloud without having to, you know, have disparate management models, right. They can have a single, simple and consistent management model between private cloud and public cloud. They are, they will be able to meet the same service levels that they've been able to on-premise, whether it's VR, whether it's backup, whether it's security, whether it's performance and all along knowing that their investment is protected with Nutanix. As you know, we have licensed for affordability of owners, software licenses between private and public cloud. So these are all the benefits that are, that are very real. And, you know, customers really value when they think about overall problem statement, they have a can. >> And what's your reaction to systems mindset, system thinking in terms of customers and other, A list, if you're looking at hybrid cloud. >> Yeah. So John, as you talked about, right, we started from a place of making infrastructure invisible. You just taking a read that complexity of infrastructure. And now we have evolved it to the next level where we are really making clouds invisible. This whole idea of you could be sitting on any cloud, it could be private cloud, it could be any public kind of, multiple public clouds. You don't have to worry about the complexity. There's the software layer, layer that's sitting on top of that. That's really making that underlying layer invisible to you so that you can just get about doing your job. It's all about business outcome at the end of the day. >> By the way, I love the invisible mindset because that's also like, that's what DevOps infrastructure's code was supposed to be; make things invisible, make them programmable. And we got to see serverless and functions coming out. People are really getting excited by the ease of ability to just provision resources. This is a major wave, that's going to have a major impact to enterprises. How has this specifically impacting this hybrid cloud architecture? What do you guys do to make that invisible? Because customers are all like, no, one's deny- denying it's happening. They know like, okay, we know what's happening, like, but they don't know what to do. They're like, how do I start? Who do I hire? What do I change? What do I automate? These are questions. How do you guys see that? >> Yeah, look, I think customers repeatedly tell us that, Hey, ultimately I invest a lot in really making my enterprise IT repeatable, reliable and predictable, right? So after they're invested in the process, the tooling, the people, they want to be able to leverage that regardless of, you know, where the IT direction takes them. When it comes to public cloud, they won't be able to take the same investment that they've made and be able to leverage them and capitalize that on the public cloud. And that's really, you know, the problem statement that we're really focused on. Just making sure that your point to making the infrastructure invisible has to do with, you know, having a platform that hides all the complexity underneath and provides a simple, consistent, you know, framework, if you will, for the applications and the management, the people and the tooling. >> Saveen, tell me about Nutanix clusters. What's that about? What's the value? What's the pitch there, what's it- What's it all about? >> Yeah. In a, in a, in a nutshell, you know, clusters is simply Nutanix software stack delivered on public cloud. Really it's a, it's, it includes our ECI or the POS hyperconverged infrastructure, AHV hypervisor, and prison management plan. And it's the same stack that we have been, that we actually introduced 10 years ago, run by thousands of customers. And they've taken the exact same reliable, big stack. And we had available on the public cloud. And with that, you know, customers get some of those benefits that we talked about earlier. >> And it, talk about the use cases because everyone's talking about day one, day two operations, shift left for security. If I bring that stack into the cloud, what is the use cases that emerge just for the customer? >> Yeah, so John, that definitely some patterns that have emerged with customers you will have with cloud. And in fact, our viewers, won't be surprised to hear that disaster recovery is foremost. A lot of organizations are starting with disaster recovery on public cloud with mechanics clusters. This helps them avoid maintenance and investments in a secondary data center, just purely for disaster recovery, but it also gives some geographical separation and it gives them the regional cloud options so that they can still meet the data residency requirement, which as you know, is very key for especially companies that based in MIA Interestingly, most of these organizations that are looking at disaster recovery in public cloud using Nutanix clusters are also leveraging their investments in clusters and their cloud instances to drive capacity bursting. So using it when Dev desk or seasonal on-demand bursting. So when you're not using it for fail-over, for disaster recovery, the same cloud investments are being optimized for cloud capacity bursting. And then finally this workload migration, right? So either it's for data center consolidation or migration, or for app modernization. Our customers are looking to migrate some of their workloads to the cloud, but they want to do that quickly or in a timely fashion. So the idea is that you migrate them as is without any app refactoring right away with clusters, and then once you're on the cloud, then you can refactor at your own pace. You can modernize some components of your applications on an as needed basis. So those are the three use cases that we are seeing disaster recovery, capacity bursting, workload migration, but then to your point about day one and day two, operations. Day two operations that are really, really key. When you have public cloud investments, private cloud investments, and multiple public clouds in the mix, it could be really complex to have your IT operations in play, right? So this notion that Saveen alluded to earlier of a unified infrastructure and management plane that oversees your public cloud, multiple public cloud and private cloud in infrastructure, as well as provide operations, not just for your VMs, but also for your containers and storage is key for our customers. So, so this whole notion of easing up on day zero and day one operations, but also day two and day end operations is top of mind for our customers. >> That's really well put, I think that, that'll tying that layer, that horizontally scalable control plane, whatever you want to call it, it really creates a lot of value from the blocking and tackling meat and potatoes disaster recovery, to enabling the migration and replatforming, and then refactoring of those apps. I mean, this is the modernization trend. This is what people are talking about. So this is what people want. This, this is hard to do. And seems hard. Maybe it's easier with you guys. What, what's, what's holding it all back? Because these...I'm sold. I mean, I've been preaching this for years. Like this is finally coming at scale, and then, is it, is it multi-cloud that's the bottleneck or is that not yet fleshed out? Is it more, architectures are not ready? The containerization or the state stateful data apps? Aren't the tools aren't there? Can you guys give me a sense of why it's not going faster? Or is it going faster? >> Yeah. So maybe I'll chime in and let Tanu as well. So we, we introduced clusters late last year and we have seen a lot of momentum and a ton of interest from our customer base. And, you know, for the use cases that Tanu just talked about, that's already happening with many customers that are already well on their hybrid multicloud journey. And, you know, ultimately it comes down to just, you know, where the organization is in their journey. And, you know, especially if you're a Nutanix customer, very familiar with the stack, you know, for them taking the next step, taking, you know, with clusters in AWS, it's actually not that big of a jump, right. And, but if you're not on the platform, then you know, you, you know, some of the challenges we discussed earlier are the things that get in the way. >> It's almost like day one operations tend to is like innovation and day, day two operations is rain it in, you know, get the value. >> Yeah. >> Day one, get going and do some experimentation and day two, make it all operate cleanly. >> Exactly. >> You know, oftentimes, you know, we have conversations even in the forest. So second conversation, the topic gravitates towards app refactoring. When you know that there's a much more heavyweight and complex time consuming project. You can actually get to cloud without pre-factoring and do it at your own pace. And, you know, on your own terms, really. >> I think the migration thing is a huge thing. I mean, at that, I see a lot of that. And then once they get to the cloud, they go, Wow, I could do a lot more here. >> Yeah. >> And that just spawns more. It's a step function value there. And then as open source continues to grow, oh my, it's just, it's just a successful and we don't overthink it, just get to the cloud, understand the distributed nature of the on-premise piece. And boom, then go from there, you see that, that accelerated value distraction. >> And as Tanu said earlier, I mean, we are taking a much, much more of a holistic and uplevel view of management in this hybrid multicloud environment, including non Nutanix environments, right? So we're not stopping at just a Nutanix environment. So just to be answer, you're talking about containers, you're talking multicloud, but also talking about non Nutanix environments that you may have and, you know, give you that one sort of, you know, one single plain of glass, if you will. >> It's DevOps happening at the Dev is I've always been there, now, the OS is getting stronger and stronger. Now it's changing too the intelligent edge is around the corner. That's just another edge. That's just another premise in my mind. So again, this flexes with what you guys are thinking about. So I think the edge brings up a lot of action too. Big time. Exciting news. Let's extend this into the news. So you guys have some exciting news. Talk about what's new, what's the big stories what's breaking. What's exciting. What's the top stories coming this year? >> Sure, sure. So since we launched clusters late, late last year on AWS, we have focused on a couple of things. One is expanding the availability, right? So we have added multiple regions. Now the total number of regions, AWS regions that we support is 23. We also recently added support for AWS gov cloud for a US federal customers. And we have FedRAMP moderate authorization. So that's, which is very key for that customer base. We also added some really new and exciting capabilities such as elastic VR. Some of that Tana already mentioned. Hibernate and resumed, which is a very unique capability from clusters where you can hibernate and our clusters and, you know, give up all the betterment in order to compute, but still have your data intact in as three, just so you can resume it very quickly whenever the need arises again. And you know, last but not the least, we are super excited about bringing clusters to Microsoft Azure. This has been a long and strong partnership with Microsoft. And as you heard in the keynote, we are actually starting the preview at this event, and, you know, opening up to the customer so that they can get that firsthand feeling for the product and work with us in bringing the product to GA. >> And John- >> Multicloud world. Oh, sorry. Tanu, go ahead. >> No, so this is exactly what I was going to say. This is multicloud coming to pair, right? So we talked about hybrid cloud and now here we are with multicloud options for you. >> What's interesting is that everyone always, you know, as the trends change, you know, this is changing, that company's shifting and you guys have evolved beautifully. And I think the way people are leveraging cloud really shows their strengths and run the cloud actually highlights the strengths. If you play it properly, you can survive. I mean, look at snowflake. They don't even have a cloud. There are data cloud now. So, you know, if you bring, if customers can bring their, their architecture to the cloud, they can actually do a lot of re, rearchitecting and rechanging to modernizing their business. This is something that's kind of only in the past few years, that's come up. This is quite a big trend. Do you guys see the same thing happening faster or is it just we're inside the ropes? And we love it so much. (laughs) >> Yeah. Like I said, earlier, organizations that are at different levels of the journey, but we're seeing happening all around us. And we're embracing that. We're actually embracing that trend, Enabling that trend because we truly believe hybrid cloud is the more practical reality. And we want customers to have the cloud on their own terms and not feel like they have to, you know do something just because they're forced to, or they're not able to, cost-effectively or even technically for that matter. >> Oh John >> Okay, well- Go ahead, Tanu, sorry. >> I was just going to say that our CEO, Rajiv Ramaswami, puts it really well. The cloud is brilliant operating model, right. So it really should not be about variable workloads. It should just be an easy operational model for you to engage with. >> Yeah. I think you guys have a great strategy. And I think the invisible really rings true with me as well as that horizontally scalable control plane, because the innovation is happening, but the operations have to be reigned in and support the expansion as well. Which means you have to kind of focus on the fact that you've got to reign in the data and you've got to make it invisible. If you look at Lambda functions, and you've got serverless trend booming with the edge, it's got to be invisible and programmable. It just has to be. >> Exactly. Yeah. >> Great stuff. All right. Final question for you both, if you don't mind. Tanu we'll start with you. >> Okay. >> What's the big story this year at .next? If you had to summarize it and tell your friend that you're driving in the elevator up to the top floor, what's the big story that should be talked about? That's being talked about this year at .next? >> Taking unified infrastructure and management and having Azure in preview is really the big news here. So go to nutanix.com/azure, to learn more, show us your interest there, sign up for a test drive. It really is a very easy way for you to experience a product in action. And you'll just see how simple it is to deploy a hybrid cloud with clusters on Azure and under an hour. >> Saveen, final word for you. What's the big news? What's the takeaway? >> Yeah, look, I, I would say that, you know, your cloud on your terms is really the big news. That's driving everything they're doing back in the office billing products and ultimately, you know, delivering or making that whole hybrid cloud journey a reality for our customers. >> Tanu and Saveen, thank you for coming on, sharing that commentary on theCUBE coverage at .next. Thanks for coming up. >> Thanks so much John. Thanks for all. >> It was our pleasure. >> Thanks for watching. More coverage, stay tuned. (cheerful music)

Published Date : Sep 23 2021

SUMMARY :

Great to have you on. Thanks for having us here. So that's the multicloud aspect of it. So Saveen, I got to ask you the blockers. What's the blocker. Is it time? And then lastly, I would say, you know, to chat with you guys because I remember the same platform, you know, if you have that single layer, it's unify. having to, you know, And what's your reaction invisible to you so that you can What do you guys do to and capitalize that on the public cloud. What's the pitch there, what's it- And it's the same stack that we have been, If I bring that stack into the cloud, So the idea is that you migrate them it's easier with you guys. very familiar with the stack, you know, rain it in, you know, get the value. and day two, make it all operate cleanly. And, you know, on your own terms, really. And then once they get to the cloud, nature of the on-premise piece. that you may have and, you know, So you guys have some exciting news. in bringing the product to GA. Tanu, go ahead. This is multicloud coming to pair, right? as the trends change, you know, and not feel like they have to, you know for you to engage with. but the operations have to Yeah. both, if you don't mind. driving in the elevator is really the big news here. What's the big news? is really the big news. thank you for coming on, Thanks for watching.

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Kaushik Ghosh, Dell Technologies | CUBE Conversation, September 2021


 

>>Hey, welcome to this cube conversation with Dell technologies. I'm Lisa Martin. I've got kosha ghost here with me. He's back on the cube director of product management for unified NAS solutions at Dell technologies. CATIA. Great to see you again. >>Yes. I raped a great to be here again. >>We're going to be talking about the major announcement that Dell technologies just made with their scale-out file storage system that has Dell EMC power scale. We're going to unpack the recent announcement, new features, capabilities, all that good stuff. Kaushik let's go ahead and start. Just give us that high level view of Dell EMC power scale. >>Yes, absolutely. Itself power scale is a high-performance scale-out file storage solution. Um, it's the successor to the Isilon family record, which as you guys know, I mean, there's one of the leading file solutions in the market today. Um, power scale one best, which is the file system that runs on power scale and also the Isilon family, um, is offers an exceptional simplicity, flexibility, and performance, um, which is what Isilon and Parscale is known for. I mean, um, if you look at Gardner's magic ordered one, Fs has been listed as the leader in that, uh, in the distributed and object file system. So, uh, so that basically is now our scaled. We launched our first Parscale all flash products last year. And then this year with this launch, we are sort of completing that portfolio, um, with, uh, with new hybrid and archive, uh, platforms. >>Excellent. And we're going to get into that as well. Let's go ahead and start unpacking this announcement. Walk me through some of the key things that are new and announced in this recent announcement. >>Yeah, except we just launched the hybrid archive platforms, um, on, as part of the Parscale family, are there two archive platforms and two hybrid platforms that we launched and, uh, they offer better CPU, performance, cash, and all that stuff, but, but we don't want to go into the speeds and feeds what I really want to hide breast is the, is the software capabilities that is far skull rings for starters. Um, it is, uh, it now includes inline data compression in 99 reduction. It's all built into it. Um, we support now new ransomware protection capabilities with, uh, with this product. Um, there's a new data protection capability that we now support with our, um, with our, our protected data data manager. Um, and, um, and then the, all the goodness of, uh, Iceland, one Fs and Parscale one Fs that sort of continues. >>I imagine, since the launch last year, cash took a lot of customer conversations that helped to drive this launch and the complete transition on the innovation of what we now see as power scale. >>Yeah. Yeah. I mean, uh, there, there have been some great conversations. People have been, um, people have been really waiting for this product offering because now, uh, they can basically combine those flash platforms that we launched last year with these hybrid platforms and can offer a really a solution that only gives you that performance, but also the, the cost and, uh, savings and the value that, um, that, uh, only our powers skill in Iceland can give you, >>Give me a good overview of some of those key capabilities that the existing Isilon customers and the prospective new customers of power scale are going to be able to take advantage of. >>Yes. So the new, some of the new capabilities as in line efficiency, as I mentioned earlier, that's now built into the product. Um, we have a line efficiency today on our all flash platforms. Uh, so now introducing it with these hybrid and archived nodes, what that means is that when you set up a mixed cluster with all flash and hybrid, when you gear the data down from the national hybrid, the data does not have to be rehydrated. They stay compressed, they stay in protected and so on and so forth. So that's one big advantage that you get. Second, um, these power skill hybrid type platforms were built ground up, uh, with our own custom hardware, unlike the flashback phones with be leverage powered servers for these ones, we use our custom hardware. And the reason for that is because what those archive and storage, the whole story we want that density, we can store up to 500 terabytes of usable capacity, effective usable capacity in, in these archive nodes in a single, uh, one U rack unit. And then, uh, of course, uh, from a software perspective, uh, we talked about ransomware protection. So, so we have a new capability with trends of bear protection. And then there's this new capability that we just launched in regard to backups, more efficient, more faster backups with, uh, with our, our protector will be bought predict family of products. >>Excellent. I want to dig into the ransomware and data protection in a minute, but I want to get a sense of the overall theme of the launch. You talked about this being the completion of that tech refresh some of the new capabilities and enhancements that customers are going to be able to take advantage of it. Give me that higher level kind of thematic look at this news. >>The big team of this is basically finishing that Parscale family that we started last year, right? So we started with launching the whole flash. Now with this hybrid and archive. Now we have the flu family done, um, all products, not support in line efficiency, so we can move the data around, you get the same, uh, data doesn't get high rehydrated. Um, you are, you can make it part of a single cluster. Um, and you get all the performance benefits, um, the scalability benefits of one Fs, um, and new data management capabilities, the, um, so all of that, that we started all of that goodness that we started with our skill, all flash. Um, we soft, continued now with this, uh, with this platform. >>Got it. And I know you guys did your own internal study and I'd like you to share some of the results with the audience, you guys compared power scale to competitors in traditional NAS in flash only NAS in mixed NAS, San and software only NAS give us a snapshot into what some of those results were for power scale. >>Yeah. I mean, uh, the big take away out here is that, um, that when it comes to power scale, um, they, we don't have a competitor when it comes to scalability, right? Uh, the fact that you can now work, uh, on petabytes of capacity under a single namespace, a single file system, and also give you that performance. Um, we, there is none to today, right? And, um, and then there may be some which can do those also, but then they don't have the enterprise capabilities like replication, um, and, uh, the rich enterprise capabilities that one, if fit, sets so off performance, scale capabilities and all the, uh, the simplicity of one Fs. And that's basically what the unique thing about our skaters >>W performance scale and simplicity, three things that I'm sure enterprises, small, medium businesses in any industry appreciate you. You talked about the, um, what's new in terms of the hybrid notes and the archive nodes. Can you help us understand what workloads does nos are best targeted for? >>Absolutely so hybrid and archive. What we have realized is that not every data can be a compressed RDU, right? So, so it's not, we would love customers to use our all flash products. They get the deduplication, they get the compression, then it lowers the cost. And clearly then you get the performance and the cost, but there are workloads like media and entertainment, video surveillance, where you will not be able to compress or that guest, rather than it being for a very expensive flash. You could put those data sets in our lower cost archive platforms as an example. And if you have situations where look, I need some performance, but there is a lot of old data and you can actually mix and match it also. So you're going to have those flash platform is giving that performance. And then you have our archive platforms, which is basically giving you the lowest cost storage for that data. And it is not so frequent giving access. >>And there's the flexibility there. So how can, this is the tech refresh? He said, this has been completed now a power scale from Isilon. How can existing Isilon customers take advantage? What are their next steps to be able to take advantage of the newer capabilities and technologies? >>Yeah, absolutely. I mean, one thing we, we, our scale has it, that's very different from others is that Parscale has this mantra called the no, no left behind. So if you are an existing Isilon customer, you can basically add these Parscale nodes to your existing Iceland cluster without breaking any donut. Then we put our scale, we lock them, magically redistribute, rebalance your workloads across these new nodes. And you sort of keep on expanding our cluster. And when you, when you feel like that, you can, uh, take out the older nodes, uh, at the time of your choosing, right? So that stuff, um, that's a huge benefit that we get. So in fact, in some customer environments, their data has been there for almost 10 to 12 years now, uh, uh, because they've never had to do a forklift upgrade. So that sort of continues with this family. Um, if you learn to learn more about it, I would encourage, uh, going to Dell technologies slash power scale, uh, or contact your Dell technologies, uh, rep >>Let's kind of wrap up things here with talking about, dig into ransomware. We've seen ransomware become a household word, the colonial pipeline, the meat packing organization that was attacked earlier this summer. We know that that a lot of data show that there's a one ransomware attack happens every 11 seconds. And of course we only hear about the really big attacks. Um, I've had the opportunity to talk to a lot of cybersecurity leaders lately, and they're showing that ransomware is up, you know, at least 10 X in the last year with this massive pivot to work from home now, work from anywhere. Talk to me about some of the focus that Dell has put in power scale now with perspective of ransomware protection and recovery. >>Yeah. So for ransomware product, we have to do things that we are doing. So one is this concept of a detection. So when an attack is happening, we want it to be able to detect with date at an attack is happening and take some corrective measures, right? And so we have this product called Sabrina eyeglass, which is exclusively built for, uh, uh, built for, uh, uh, our scale and using this product they use, we use AIS, uh, to basically to figure out that if an attack is happening, we detect it. And based on that based on policies, we can then either, if it's happening with only one user, we can start off, um, uh, start off, uh, prevent, uh, sort of lock it down that particular user profile or, or take other corrective actions taking meaning set up. So that's one aspect of it, which is about the detection of it and taking some quick steps. >>Then there's a second aspect of it, which is all about recovery, right? So, so we do have a replications event. If the customer chooses, we can have reputations set up from your Parscale, uh, production cluster to another cluster. And, um, and in that replication, uh, we can introduce an air gap so that, uh, any, anything bad thing is happening here does not get, uh, uh, does not get replicated to that, uh, remote in mine. So, um, so, so those are the two ways, one detecting, and second basically protecting it. Um, and not only just protecting it, but ensuring that air gap, um, capabilities, data as well, so that, uh, the ransom reason not replicated there as well. >>Absolutely critical. Given some of the things that you and I mentioned a few minutes ago in terms of the explosion of ransomware, which hopefully in our remote, remote work hybrid environment, as more technologies like this come out from Dell technologies and its partners, we'll start to see those ransomware numbers go down. Lastly, I want you to just restate, you mentioned a URL where folks can go to learn more information. Now you've got several different links to point folks to, can you go ahead and remind us what those are again? >>Yes, absolutely. I mean, uh, the easiest you are to go to is Dell technologies slash flower scale. I mean, if you're, that's a one-to-one URL and I'd like you to remember, once you go there, there'll be videos, articles, blogs, and you can, uh, look through a much going and then whatever you want from them. >>Excellent contract. Thank you for joining me today. Talking to me about what's new with power scale, congratulations on the completion of the refresh, a lot of new capabilities and, and, uh, technologies that your customers, existing Isilon and feature perspective, power scale customers are going to be able to take advantage of, look forward to hearing in the next few months in customer success stories. Thanks for your time. Thank >>You >>For Casha gauche. I'm Lisa Martin. You're watching a cube conversation.

Published Date : Sep 23 2021

SUMMARY :

Great to see you again. We're going to be talking about the major announcement that Dell technologies just made with their scale-out file storage I mean, um, if you look at Gardner's magic ordered one, of the key things that are new and announced in this recent announcement. and all that stuff, but, but we don't want to go into the speeds and feeds what I really want to hide breast is the, I imagine, since the launch last year, cash took a lot of customer conversations that helped to a solution that only gives you that performance, but also the, and the prospective new customers of power scale are going to be able to take advantage of. And then there's this new capability that we just launched in of the new capabilities and enhancements that customers are going to be able to take advantage of it. not support in line efficiency, so we can move the data around, you get the same, And I know you guys did your own internal study and I'd like you to share some of the results with the audience, comes to power scale, um, they, we don't have a competitor when it comes to scalability, Can you help us understand what And clearly then you get the performance and the cost, but there are workloads like media and to be able to take advantage of the newer capabilities and technologies? So that stuff, um, that's a huge benefit that we get. And of course we only hear about the really big attacks. And based on that based on policies, we can then either, if it's happening with only If the customer chooses, we can have reputations set up from Given some of the things that you and I mentioned a few minutes ago in terms of the explosion of ransomware, I mean, uh, the easiest you are to go to is Dell power scale customers are going to be able to take advantage of, look forward to hearing in the next few months in customer I'm Lisa Martin.

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Jordan Sher, OpsRamp | CUIBE Conversation


 

>>Welcome to the AWS Startup. Showcase new breakthroughs in devops, did analytics and cloud management tools. I'm lisa martin, I've got Jordan share here with the next vice president of corporate marketing Ops ramp, Jordan welcome to the program >>lisa It's great to be here. Great to talk about some of the stuff. Thanks for having me. >>Yeah let's break this down. Tell me, first of all about Ops ramp, how is it facilitating the transformation of I. T. Ops helping companies as your website says control the chaos. >>Sure. So option is an availability platform for the modern enterprise. We consolidate digital I. T. Operations management into one place. So availability as you can imagine um is a consistent challenge for I. T. Operations teams in large enterprises maintaining service assurance, making sure that services are up available, performing uh Ops tramp is the platform that powers all of that and we bring a lot of different features and functions to bear in driving availability. I think about ai ops I think about hybrid infrastructure monitoring, multi cloud monitoring, that's all part of the options offering. Modern enterprise. >>Talk to me about back in 2014 what the founders saw of Ops ramps, what were some of the gaps in the market that they saw that this needs to be addressed and no one's >>doing? It's a great question. So abstract was originally founded as part of an MSP offering. So we were a platform serving managed service providers who wanted to consolidate the infrastructure of their clients onto one multi tenant platform. What they noticed was that these enterprise customers of the MSP s whom we served. Really appreciated that promise of being able to consolidate infrastructure, being able to visualize different alerts, different critical incidents that might arise all on one platform. And so that's when we decided to raise around and take it directly to the enterprise so they could have the same kind of visibility and control that MSP s were delivering back to them, >>Visibility and control is essential, especially if your objective is to help control the chaos. Talk to me about some of the trends that you've seen, especially in the last 18 months, as we've been in such a dynamic market, we've seen the rapid acceleration of digital business transformation. What are some of those key trends especially with respect to a I ops that you think are really poignant. >>Yeah. You know, we like to think over here that the pandemic didn't really change a whole lot, accelerated a whole lot. And so we started to see at least within the past 12 to 18 months this acceleration of moving to the cloud, you know, Gardner forecasted that I thi enterprises, large enterprises are going to be spending upwards of 300 billion um in the move to the public cloud. So that has really facilitated some of the decisions that we have made and the promises that we offer to our customers, number one, Number two, with the move to remote work and the adoption of a lot of different digital tools and uh the creation and implementation of a lot of different digital customer services. Um It has forced these enterprises whom we serve to really rethink how they provide flexibility and control to their larger enterprise. I. T. Teams that might be distributed might be working remote might be in different locations. How can they consolidate infrastructure as it gets more and more complex. So that's where ops tramp has really created the most value. So we think about two things. Number one I want to consolidate my multi cloud environments so services via AWS for example or other cloud providers. How do I bring that within? How do I bring that control within my enterprise within the context of maybe additional private cloud offerings or public cloud infrastructure. Number one. Number two how do I get control over the constant flood of alerts but I'm getting from these different digital services and tools all in one place. Um you know so we are responding to that need by for example uh implementing a really rich robust ai ops functionality within the train platform to both be able to consolidate those alerts that are coming through and really escalate the critical ones um for to allow I. T. Operations seems to be a little bit more proactive and understand how incidents are happening and giving them the ability to remediate those incidents become before they become business critical and can really shut down the internet. >>Speaking of the enterprise. I'm curious if your customer conversations have changed in level in the last 18 months as everything has become chaotic for quite a while. We're still in we've been in a hybrid cloud world for a while. We are in a hybrid workforce situation. Have you noticed an escalation up the stack in terms of the c suite of going we need to make sure that we're leveraging cloud properly financially responsibly and ensuring that we have this ability and all the services that we're delivering. >>You mean are they sweating more And are they coming to us when they're sweating more? Yeah. Yeah for sure. The short answer is yes. So let me give you a great example. Um One of our recent customers they manufacture chips microchips and what they've noticed is that number one demand has grown um due to the increase in digital transformation. Um Number two supply chains have become more constricted for them specifically so they're asking themselves. All right how can we equip our I. T. Operations teams to maintain the availability of different logistics services within our organization So that they can both maintain service availability of these different logistic logistic services um and be able to stay on deadline as much as they possibly can um during a supply chain crisis that we're facing right now. And number two how can we as we move to the cloud and we see a distribution of our workforce still be able to maintain I. T. Operation services regardless. Um That is a need in particular in particular the supply chain um constraint issue. Uh That is a need that has arisen only in the last 18 months and it is a perfect use case for ops ramp or a platform that allows you to consolidate I. T. Operations to one place and give flexibility control across a distributed environment with a number of different new digital services that have been implemented. To solve some of these challenges. >>Talk to me about Ai ops as a facilitator of that availability visibility in this hybrid world that is still somewhat chaotic. >>Yeah great question. So originally it was al gore algorithmic operations is coined by Gardner today it's artificial intelligence in its operations. So the notion there is simple right there's a lot of data coming in on throughout the I. T. Operations organization. How can we look for patterns within that data to help us understand and act more proactively. Um From an operational perspective well there are a lot of promises uh that go along with A. I. Ops that it's going to completely transform these I. T. Organizations that it's going to reduce headcount. Um We don't necessarily find that to be true. What we do find true though is that the original promise behind a IOP still exists right we need to look for patterns in the data and we need to be able to drive insights from those patterns so that is what the Ai ops feature functionality within abstract really does. It looks for patterns within alerts and helps you understand what these patterns ultimately mean. Let me give you a great example so we have different algorithms within the train platform for co occurring events or for downstream events that help us indicate, okay if a number of these events are happening across one geography or one um business service for example we can actually look for those co occurring patterns and we can see that there may be one resource or set of resources that is actually causing a bunch of these incidents for a bunch of these alerts upstream of all the actual alerts themselves. So instead of the ICTy Operations organization having to go in and remediate a bunch of different distributed alerts, they can actually look at that upstream alert and say okay that's the one that really matters, that's where I need to pay most of my attention to. Um and that's where I'm going to deploy a team or open up a ticket or escalate to I. T. S. M. Or a variety of different things because I know that these co occurring alerts are creating a pattern that's driving some insight. Um so that's just part of the overall Ops tramp Ai Ops um promise or uh you know there's there's tons more that goes along with the biopsy but we really want to take some of the load and reduce some of the alerts that these icy operations teams are having to deal with on a daily basis. >>So let's talk about how you do that from a practical perspective, is looking at some of the notes that your team provided and according to I. D. C. This was a report from asia pacific excluding Japan that 75% of global two K enterprises are going to adopt a I Ai Ops by 2023 but a lot of Ai ops projects have been built on and haven't been successful. How does abstract help change flip the script on that? >>So it really comes down to the quality of the data right? If you have a bolt on tool, you have to optimize that tool for the different data lakes or data warehouses or sources of data that exists within your operational organization. I think about multi cloud apps across the multiplied environment. So I have to optimize the data that is coming in from each of those different cloud providers onto a bolt on tool to make sure that the data that's being fed to the tool is accurate and it is a true reflection of what's going on in the operational organization. That's number one. If you look at ops tramp and the differentiation there. Um op tramp is a big data platform at its core. So you bring ops tramp in, you optimize it for your overall infrastructure mix and then the data that gets fed into the ai ops feature functionality is the same across the board. There is no further optimization. So what that means is that the insights that are being driven by the outside perhaps platform are more sophisticated, they're more nuanced, there are more accurate representation and they're probably driving ultimately better insights than sticking a tool on top of five different existing data warehouses or data lakes. >>So if you've got a customer and I'm sure that you do enterprises, as we said, going to be adopting this substantially by 2023 which is just around the corner, how do you help them sort through the infrastructure and the ecosystem that they have so that they're not bolting things on but rather they can actually really build this very intuitively to deliver that availability and the visibility that they need fast. >>Yeah, so a couple of different comments on that ways that we try to help. Number one, I think it's critical for us to understand the challenges of the modern I. T. Infrastructure environment, across different verticals, different industries. So when we walk into any of our clients, we already have a good mix of their challenges. Is it Iot? Are they dealing with a bunch of different devices at the edge, are they, you know, a telecom with uh critical incidents is incidents in the network that they need to remediate. Um Number two, we try to smooth the glide path into understanding the obscene ramp platform and promise early. So what does that mean? It means we offer a free trial of the platform itself at tried out abstract dot com, you can set up up to 1000 resources for free with an unlimited number of users for 14 days and kick the tires particularly in multi cloud monitoring and see what sorts of insights you can determine um, just within those two weeks and in fact we're, we put our cards on the table and we say you can probably see your first insights into your infrastructure within 20 minutes of setting up the abstract free trial um, and if you don't want to bring your resources, your own resources to it will even provide a collection of resources preloaded onto the platform so you can try it out yourself without having to get, you know, a bunch of approvals to load infrastructure in there. So two pieces, number one, it's this proof of concept proof of value where we try to understand the clients pain and number two, if you want to kick the tires on it yourself, we can offer that with this free trial offering. >>So what I'm hearing and that is fast time to value which in these days is absolutely essential. How does that differentiate ops ramp as a technology company and >>from your customer's perspective? Yeah, so I appreciate that. And the meantime to incite is one of the critical aspects of our product roadmap, we really want to drive down that time to value coefficient because it's what these operations teams need as complexity grows really if you take a step back right, everything is getting more complex. So it's not only the pandemic and the rise of multi cloud but it's more digital customer experience is to compete. It's the availability, it's the need of a modern enterprise to be agile. All of those things translate basically into speed and flexibility and agility. So if there's one guiding light of ops tram it's really to equip the operations team with the tools that they need to move flexibly with the business. There is a department in any modern enterprise today if they need access to the public cloud and they have a credit card they're getting on AWS right now and they are spinning up a host of services. We want to be the platform that still gives the central IT operations team some aspect of control over that with the ability with without taking away the ability of that you know siloed operations team somewhere in some geo geographic region. We want to empower them to be able to spend up that AWS service but at the same time we want to just know that exists and be able to control it. >>How can A I A facilitator of better alignment between I. T. Tops and the business as you just gave a great example of the business getting the credit card spending up services that they need for their line of business or their function and then from a cultural perspective I'm just curious how can A. I. R. S. B. A facilitator of those two groups working better together in a constantly complex environment. >>That's a great question. So imagine if I. T. Operations did more than just keep the lights on. Imagine if you knew that your I. T. Operations team could be more proactive and more productive about alerts incidents and insights from infrastructure monitoring. What that means is that you are free to create any kind of digital customer experience that you would want to drive value back to your end user. It means that no longer do you think about it? Operations is this big hodgepodge of technology that you have to spend you know hundreds of millions of dollars a year in network operations teams and centers and technologies just to keep control of right by consolidating everything down to one place one sas based platform like this it frees up the business to be able to innovate. Um You know take advantage of new technologies that come around and really to work flexibly with the needs of the business as it grows. That's the promise of a tramp. We're here to replace you know these old appliances or different management packs of tools that exists that you consistently have to add an optimized and tune to feel to to empower the operations team to act like that. Um The truth is that is that everything is SAT space now, everything is status based and when you get to the core of infrastructure, it needs to be managed to be a SAs and thats ops ramp in a nutshell, >>I like that nutshell, that's excellent. I want to know a little bit about your go to market with a W. S. Talk to me a little bit about the partnership there and where can what's your go to market like? Essentially, >>yeah, so were included in the AWS marketplace, we have an integration with a W. S um as the de facto biggest cloud provider in the world. We have to play nice with them. Um and obviously the insights that we drive on the option platform have to be insights that you need from your AWS experience. You know, it has to be similar to cloudwatch or in a lot of, in a lot of cases um it has to be as rich as the cloudwatch experience in order for you to want to use op tramp within the context of the different other multi cloud providers, so that's how abstract works. Um you know, we understand that there's a lot of AWS certified professionals who work with who work at Ops tramp, who understand what AWS is doing and who consistently introduce new features that play well with the service is the service library that AWS currently offers today. >>Got it as we look ahead to 2022 hopefully a better year than 2020 and 2021. What are some of the things that you're excited about? What are some of the things on the ops ramp road map that you can share with us? >>Yeah, so you know, the other, the other big aspect of uh the new landscape of IT operations is observe ability. We're really excited about observe ability, we think that it is the new landscape of monitoring um you know, the idea of being able to find unknown unknowns that exists within your operational stack is important to us to be able to consolidate that with the power of ai ops so that you now have machine learning on top of your ability to find unknown unknown issues. That's that's going to be super exciting for us. I know the product team is taking a hard look at how to drive hybrid, observe ability within the abstract platform. So how do we give a better operational perspective to on prem public cloud and private cloud infrastructure moving forward and how do we ingest alerts before they're even alerts? I mean that's observe ability in a nutshell, if I'm getting in and I'm checking the option platform every day, then that's a workflow that we can remove by creating a better observe ability posture within the train platform. So now the platform is going to run unsupervised right in the background um and ai apps is going to be able to take action on predictive incidents before they ever occur, that's what we're looking at in the future. You know, everything is getting more complex. We've heard this story a million times before, we want to be the platform that can handle that complexity on a massive scale, >>finding the unknown, unknowns, converting them into knowns I imagine is going to be more and more critical across every industry. Last question for you, given the culture and the dynamics of the market that we're in, are there any industries and all of trump's is seeing is really key targets for this type of technology. >>The nice thing about ops tramp is we are we are really vertical neutral, right? Any industry that has complexity and that's every industry can really take advantage of a platform like this. We have seen recent success particularly in finance manufacturing, health care because they deal with new emerging types of complexity that they are not necessarily cared for. So I think about some of our clients, some of our friends in the finance industry, you know, um as transactions accelerate as new customer experiences arise uh these are things that their operations teams need to be equipped for and that's where up tramp really drives value. What's more is that these uh these industries are also somewhat legacy, so they have a foot in the old way of doing things, they have a foot in the data center, you know, there are many financial institutions that have large data center footprint for security considerations. And so if they are living in the data center and they want to make the move to cloud, then they need something like cops ramp to be able to keep a foot in both sides of the equation, >>right, Keep that availability and that visibility. Jordan, thank you for joining me today and talking to us about ops around the capabilities that Ai ops can deliver to enterprises in any industry. The facilitation of of the I. T. Folks in the business folks and what you guys are doing with AWS, we appreciate your time. >>Absolutely lisa, thank you very much. Thanks for the great questions. If you ever need a job in corporate marketing, you seem like you're a natural fit. I'll >>call you awesome. >>Thank you >>for Jordan share. I'm lisa martin, You're watching the AWS startup showcase.

Published Date : Sep 21 2021

SUMMARY :

Welcome to the AWS Startup. lisa It's great to be here. Tell me, first of all about Ops ramp, how is it facilitating the of that and we bring a lot of different features and functions to bear in driving availability. Really appreciated that promise of being able to consolidate infrastructure, What are some of those key trends especially with respect to a I ops that you think are really poignant. So that has really facilitated some of the decisions that we have made and the the c suite of going we need to make sure that we're leveraging cloud properly financially Uh That is a need that has arisen only in the last 18 months and it is Talk to me about Ai ops as a facilitator of that availability visibility Um We don't necessarily find that to be true. So let's talk about how you do that from a practical perspective, is looking at some of the notes that your team provided So it really comes down to the quality of the data right? and the visibility that they need fast. incidents is incidents in the network that they need to remediate. How does that differentiate ops ramp as a technology company and And the meantime to incite is one of the critical aspects Tops and the business as you just gave a great example of the business getting the credit card spending up services that they need have to spend you know hundreds of millions of dollars a year in network operations Talk to me a little bit about the partnership there and where can what's your go to market like? platform have to be insights that you need from your AWS experience. What are some of the things on the ops ramp road map that you to be able to consolidate that with the power of ai ops so that you now have machine learning on finding the unknown, unknowns, converting them into knowns I imagine is going to be more and more critical some of our friends in the finance industry, you know, um as transactions accelerate the capabilities that Ai ops can deliver to enterprises in If you ever need a job in corporate marketing, for Jordan share.

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Rupesh Chokshi, AT&T Cybersecurity | Fortinet Security Summit 2021


 

>>From around the globe. It's the cube covering Fortinet security summit brought to you by Fortinet. >>Welcome back to the cube. Lisa Martin here at the Fordham het championship security summit. Napa valley has been beautiful and gracious to us all day. We're very pleased to be here. I'm very pleased to welcome a first-timer to the cube. Rupesh Chuck Chuck Xi, VP a T and T cybersecurity and edge solutions at, at and T cybersecurity. Refresh. Welcome. >>Thank you. Thank you so much for having me, Lisa, I'm looking forward to our conversation today. >>Me too. First of all, it's we're in Napa we're outdoors. It's beautiful venue, no complaints, right? We're at a golf PGA tournament. Very exciting. Talk to me about the at and T Fordanet relationship. Give me, give me an, a good insight into the partnership. >>Sure, sure. So, as you said, you know, beautiful weather in California, Napa it's my first time. Uh, so it's kind of a new experience for me going back to your question in terms of the relationship between eight P and T and Ford in that, uh, a long lasting, you know, 10 plus years, you know, hand in hand in terms of the product, the technology, the capabilities that we are brought together in the security space for our customers. So a strategic relationship, and I'm so thrilled to be here today as a, Fordanet invited us to be part of the championship. Tommy, >>Talk to me. So your role VP of, and T cybersecurity and edge solutions, give me an, a deep dive into what's in your purview. >>Sure, sure. So I, uh, sort of, you know, run the PNL or the profit and loss center for product management for all of at and T cybersecurity and ed solutions and the whole concept behind putting the teams together is the convergence in networking and security. Um, so, you know, we are supporting the entire customer continuum, whether it's a fortune 50, the fortune 1000 to mid-market customers, to small businesses, to, you know, government agencies, you know, whether it's a local government agency or a school district or a federal agency, et cetera. And my team and I focus on bringing new product and capabilities to the marketplace, you know, working with our sales team from an enablement perspective, go to market strategy. Um, and the whole idea is about, uh, you know, winning in the marketplace, right? So delivering growth and revenue to the business, >>Competitive differentiation. So we've seen so much change in the last year and a half. I know that's an epic understatement, but we've also seen the proliferation at the edge. What are some of the challenges that you're seeing and hearing from customers where that's concerned >>As you stated, right. There's a lot happening in the edge. And sometimes the definition for edge varies when you talk with different people, uh, the way we look at it is, you know, definitely focused on the customer edge, right? So if you think about many businesses, whether I am a, a quick serve restaurant or I'm a banking Institute or a financial services or an insurance agency, or I'm a retail at et cetera, you know, lots of different branches, lots of different transformation taking place. So one way of approaching it is that when you think about the customer edge, you see a lot of virtualization, software driven, a lot of IOT endpoints, et cetera, taking place. So the cyber landscape becomes more important. Now you're connecting users, devices, capabilities, your point of sale system to a multi-cloud environment, and that, you know, encryption of that data, the speed at which it needs to happen, all of that is very important. And as we think ahead with 5g and edge compute and what that evolution revolution is going to bring, it's going to get even more excited because to me, those are kind of like in a playgrounds of innovation, but we want to do it right and keep sort of, you know, cyber and security at the core of it. So we can innovate and keep the businesses safe. >>How do you help customers to kind of navigate edge cybersecurity challenges and them not being synonymous? >>That's a great, great question. You know, every day I see, you know, different teams, different agendas, different kinds of ways of approaching things. And what I tell customers and even my own teams is that, look, we have to have a, a blueprint and architecture, a vision, you know, what are the business outcomes that we want to achieve? What the customer wants to achieve. And then start to look at that kind of technology kind of convergence that is taking place, and especially in the security and the networking space, significant momentum on the convergence and utilize that convergence to create kind of full value stack solutions that can be scaled, can be delivered. So you are not just one and done, but it's a continuous innovation and improvement. And in the security space, you need that, right. It's never going to be one and done. No >>We've seen so much change in the last year. We've seen obviously this rapid pivot to work from home that was overnight for millions and millions of people. We're still in that too. A fair amount. There's a good amount of people that are still remote, and that probably will be permanently there's. Those that are going to be hybrid threat landscape bloated. I was looking at and talking with, um, 40 guard labs and the, the nearly 11 X increase in the last 12 months in ransomware is insane. And the ransomware as a business has exploded. So security is a board level conversation for businesses I assume in any. >>Absolutely. Absolutely. I agree with you, it's a board level conversation. Security is not acknowledged the problem about picking a tool it's about, you know, the business risk and what do we need to do? Uh, you mentioned a couple of interesting stats, right? So we've seen, uh, you know, two things I'll share. One is we've seen, you know, 440 petabytes of data on the at and T network in one average business day. So 440 petabytes of data. Most people don't know what it is. So you can imagine the amount of information. So you can imagine the amount of security apparatus that you need, uh, to Tofino, protect, and defend and provide the right kind of insights. And then the other thing that VOC and along the same lines of what you were mentioning is significant, you know, ransomware, but also significant DDoSs attacks, right? So almost like, you know, we would say around 300% plus said, DDoSs mitigations that we did from last year, you know, year over year. >>So a lot of focus on texting the customer, securing the end points, the applications, the data, the network, the devices, et cetera. Uh, the other two points that I want to mention in this space, you know, again, going back to all of this is happening, right? So you have to focus on this innovation at the, at the speed of light. So, you know, artificial intelligence, machine learning, the software capabilities that are more, forward-looking have to be applied in the security space ever more than ever before, right. Needs these do, we're seeing alliances, right? We're seeing this sort of, you know, crowdsourcing going on of action on the good guys side, right? You see the national security agencies kind of leaning in saying, Hey, let's together, build this concept of a D because we're all going to be doing business. Whether it's a public to public public, to private, private, to private, all of those different entities have to work together. So having security, being a digital trust, >>Do you think that the Biden administrations fairly recent executive order catalyst of that? >>I give it, you know, the president and the, the administration, a lot of, you know, kudos for kind of, and then taking it head on and saying, look, we need to take care of this. And I think the other acknowledgement that it is not just hunting or one company or one agency, right? It's the whole ecosystem that has to come together, not just national at the global level, because we live in a hyper connected world. Right. And one of the things that you mentioned was like this hybrid work, and I was joking with somebody the other day that, and really the word is location, location, location, thinking, network security, and networking. The word is hybrid hybrid hybrid because you got a hybrid workforce, the hybrid cloud, you have a hybrid, you have a hyper-connected enterprise. So we're going to be in this sort of, you know, hybrid for quite some time are, and it has to >>Be secure and an org. And it's, you know, all the disruption of folks going to remote work and trying to get connected. One beyond video conference saying, kids are in school, spouse working, maybe kids are gaming. That's been, the conductivity alone has been a huge challenge. And Affordanet zooming a lot there with links to us, especially to help that remote environment, because we know a lot of it's going to remain, but in the spirit of transformation, you had a session today here at the security summit, talked about transformation, formation plan. We talk about that word at every event, digital transformation, right? Infrastructure transformation, it security. What context, where you talking about transformation in it today? What does it transformation plan mean for your customers? >>That's a great question because I sometimes feel, you know, overused term, right? Then you just take something and add it. It's it? Transformation, network, transformation, digital transformation. Um, but what we were talking today in, in, in the morning was more around and sort of, you know, again, going back to the network security and the transformation that the customers have to do, we hear a lot about sassy and the convergence we are seeing, you know, SD van takeoff significantly from an adoption perspective application, aware to experiences, et cetera, customers are looking at doing things like internet offload and having connectivity back into the SAS applications. Again, secure connectivity back into the SAS applications, which directly ties to their outcomes. Um, so the, the three tenants of my conversation today was, Hey, make sure you have a clear view on the business outcomes that you want to accomplish. Now, the second was work with a trusted advisor and at and T and in many cases is providing that from a trusted advisor perspective. And third, is that going back to the one and done it is not a one and done, right? This is a, is a continuous process. So sometimes we have to be thinking about, are we doing it in a way that we will always be future ready, will be always be able to deal with the security threats that we don't even know about today. So yeah, >>You bring up the term future ready. And I hear that all the time. When you think of man, we really weren't future ready. When the pandemic struck, there was so much that wasn't there. And when I was talking with 49 earlier, I said, you know, how much, uh, has the pandemic been a, uh, a catalyst for so much innovation? I imagine it has been the same thing that >>Absolutely. And, you know, I remember, you know, early days, February, March, where we're all just trying to better understand, right? What is it going to be? And the first thing was, Hey, we're all going to work remote, is it a one week? Is it a two week thing? Right? And then if you're like the CIO or the CSO or other folks who are worried about how am I going to give the productivity tools, right. Businesses in a one customer we work with, again, tobacco innovation was said, Hey, I have 20,000 call center agents that I need to take remote. How do you deliver connectivity and security? Because that call center agent is the bloodline for that business interacting with their end customers. So I think, you know, it is accelerated what would happen over 10 years and 18 months, and it's still unknown, right? So we're still discovering the future. >>There's a, there will be more silver linings to come. I think we'll learn to pick your brain on, on sassy adoption trends. One of the things I noticed in your abstract of your session here was that according to Gardner, the convergence of networking and security into the sassy framework is the most vigorous technology trend. And coming out of 2020, seeing that that's a big description, most vigorous, >>It's a big, big description, a big statement. And, uh, we are definitely seeing it. You know, we saw some of that, uh, in the second half of last year, as the organizations were getting more organized to deal with, uh, the pandemic and the change then coming into this year, it's even more accelerated. And what I mean by that is that, you know, I look at sort of, you know, three things, right? So one is going back to the hybrid work, remote work, work from anywhere, right. So how do you continue to deliver a differentiated experience, highly secure to that workforce? Because productivity, human capital very important, right? The second is that there's a back and forth on the branch transformation. So yes, you know, restaurants are opening back up. Retailers are opening back up. So businesses are thinking about how do I do that branch transformation? And then the third is explosive business IOT. So the IOT end points, do you put into manufacturing, into airports in many industries, we continue to see that. So when you think about sassy and the framework, it's about delivering a, a framework that allows you to protect and secure all of those endpoints at scale. And I think that trend is real. I've seen customer demand, we've signed a number of deals. We're implementing them as we speak across all verticals, healthcare, retail, finance, manufacturing, transportation, government agencies, small businesses, mid-sized businesses. >>Nope, Nope. Not at all. Talk to me about, I'm curious, you've been at, at and T a long time. You've seen a lot of innovation. Talk, talk to me about your perspectives on seeing that, and then what to you think as a silver lining that has come out of the, the acceleration of the last 18 months. >>She and I, I get the question, you know, I've been with at and T long time. Right. And I still remember the day I joined at T and T labs. So it was one of my kind of dream coming out of engineering school. Every engineer wants to go work for a brand that is recognized, right. And I, I drove from Clemson, South Carolina to New Jersey Homedale and, uh, I'm still, you know, you can see I'm still having the smile on my face. So I've, you know, think innovation is key. And that's what we do at, at and T I think the ability to, um, kind of move fast, you know, I think what the pandemic has taught us is the speed, right? The speed at which we have to move the speed at which we have to collaborate the speed at which we have to deliver, uh, to agility has become, you know, the differentiator for all of us. >>And we're focusing on that. I also feel that, uh, you know, there have been times where, you know, product organizations, technology organizations, you know, we struggle with jumping this sort of S-curve right, which is, Hey, I'm holding onto something. Do I let go or not? Let go. And I think the pandemic has taught us that you have to jump the S-curve, you have to accelerate because that is where you need to be in, in a way, going back to the sassy trend, right. It is something that is real, and it's going to be there for the next three to five years. So let's get ready. >>I call that getting comfortably uncomfortable, no businesses safe if they rest on their laurels these days. I think we've learned that, speaking of speed, I wanna, I wanna get kind of your perspective on 5g, where you guys are at, and when do you think it's going to be really impactful to, you know, businesses, consumers, first responders, >>The 5g investments are happening and they will continue to happen. And if you look at what's happened with the network, what at and T has announced, you know, we've gotten a lot of kudos for whatever 5g network for our mobile network, for our wireless network. And we are starting to see that, that innovation and that innovation as we anticipated is happening for the enterprise customers first, right? So there's a lot of, you know, robotics or warehouse or equipment that needs to sort of, you know, connect at a low latency, high speed, highly secure sort of, you know, data movements, compute edge that sits next to the, to the campus, you know, delivering a very different application experience. So we're seeing that, you know, momentum, uh, I think on the consumer side, it is starting to come in and it's going to take a little bit more time as the devices and the applications catch up to what we are doing in the network. And if you think about, you know, the, the value creation that has happened on, on the mobile networks is like, if you think about companies like Uber or left, right, did not exist. And, uh, many businesses, you know, are dependent on that network. And I think, uh, it will carry on. And I think in the next year or two, we'll see firsthand the outcomes and the value that it is delivering you go to a stadium at and T stadium in Dallas, you know, 5g enabled, you know, that the experience is very different. >>I can't wait to go to a stadium again and see it came or live music. Oh, that sounds great. Rubbish. Thank you so much for joining me today, talking about what a T and T is doing with 49, the challenges that you're helping your customers combat at the edge and the importance of really being future. Ready? >>Yes. Thank you. Thank you so much. Really appreciate you having me. Thanks for 49 to invite us to be at this event. Yes. >>Thank you for refresh talk. She I'm Lisa Martin. You're watching the cube at the 40 net championship security summits.

Published Date : Sep 14 2021

SUMMARY :

security summit brought to you by Fortinet. a first-timer to the cube. Thank you so much for having me, Lisa, I'm looking forward to our conversation today. Talk to me about the at and T Fordanet uh, a long lasting, you know, 10 plus years, you know, hand in hand So your role VP of, and T cybersecurity and edge solutions, give me an, Um, and the whole idea is about, uh, you know, What are some of the challenges that you're but we want to do it right and keep sort of, you know, cyber and security at the core of a vision, you know, what are the business outcomes that we want to achieve? And the ransomware as a business acknowledged the problem about picking a tool it's about, you know, the business risk and what do mention in this space, you know, again, going back to all of this is happening, So we're going to be in this sort of, you know, hybrid for quite some time are, And it's, you know, all the disruption of folks going to remote in, in the morning was more around and sort of, you know, again, going back to the network security And when I was talking with 49 earlier, I said, you know, how much, uh, has the pandemic been you know, it is accelerated what would happen over 10 years and 18 months, and it's One of the things I noticed in your abstract of your session here was that according to Gardner, So the IOT end points, do you put into manufacturing, seeing that, and then what to you think as a silver lining that has come out of the, She and I, I get the question, you know, I've been with at and T long time. I also feel that, uh, you know, there have been times where you guys are at, and when do you think it's going to be really impactful to, you know, that needs to sort of, you know, connect at a low latency, high speed, Thank you so much for joining me today, talking about what a T and T is doing with Thank you so much. Thank you for refresh talk.

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RETAIL Why Fast Data


 

(upbeat music) >> Thank you and good morning or afternoon, everyone, depending on where you're coming to us from and welcome to today's breakout session, Fast Data, a retail industry business imperative. My name is Brent Biddulph, Global Managing Director of Retail and Super Bids here at Cloudera and today's hosts. Joining me today is our feature speaker Brian Kilcourse, Managing Partner from RSR. We'll be sharing insights and implications from recently completed research across retailers of all sizes in empirical segments. At the end of today's session I'll share a brief overview on what I personally learned from retailers and how Cloudera continues to support retail data analytic requirements, and specifically around streaming data ingest, analytics, automation for customers around the world. There really is the next step up in terms of what's happening with data analytics today. So let's get started. So I thought it'd be helpful to provide some background first on how Cloudera is supporting retail industry leaders specifically how they're leveraging Cloudera for leading practice data analytics use cases, primarily across four key business pillars and these will be very familiar to those in the industry. Personalize interactions of course plays heavily into e-commerce and marketing, whether that's developing customer profiles, understanding the omni-channel journey, moving into the merchandising line of business, focused on localizing sorbet, promotional planning, forecasting, demand forecast accuracy, then into supply chain where inventory visibility is becoming more and more critical today, whether it's around fulfillment or just understanding where your stuff is from a customer perspective. And obviously in and outbound route optimization, right now as retailers are taking control of actual delivery, whether it's to a physical store location or to the consumer. And then finally, which is pretty exciting to me as a former store operator, what's happening with physical brick and mortar right now, especially for traditional retailers. The whole re-imagining of stores right now is on fire in a lot of focus because frankly this is where fulfillment is happening, this is where customers steal 80% of revenue is driven through retail through physical brick and mortar. So right now store operations is getting more focused and I would say it probably is had in decades and a lot of it has to do of course with IoT data and analytics in the new technologies that really help drive benefits for retailers from a brick and mortars standpoint. And then finally, to wrap up before handing off to Brian, as you'll see, all of these lines of businesses are rogue, really experiencing the need for speed, fast data. So we're moving beyond just discovery analytics, things that happened five, six years ago with big data, et cetera and we're really moving into real time capabilities because that's really where the difference makers are, that's where the competitive differentiation is across all of these lines of business and these four key pillars within retail. The dependency on fast data is evident, it's something that we all read in terms of those that are students of the industry if you will, that we're all focused on in terms of bringing value to the individual lines of business but more importantly to the overall enterprise. So without further ado, I really want to have Brian speak here as a third party analyst. He's close in touch with what's going on retail talking to all the solution providers, all the key retailers about what's important, what's on their plate, what are they focusing on right now in terms of fast data and how that could potentially make a difference for them going forward. So Brian off to you. >> Well, thanks, Brent. I appreciate the introduction. And I was thinking as you were talking, what is fast data? Well, fast data is fast data, it's stuff that comes at you very quickly. When I think about the decision cycles in retail, they were time phased and there was a time when we could only make a decision perhaps once a month and then met once a week and then once a day, and then intraday. Fast data is data that's coming at you in something approaching real time and we'll explain why that's important in just a second. But first I want to share with you just a little bit about RSR. We've been in business now for 14 years and what we do is we studied the business use cases that drive the adoption of technology in retail. We come from the retail industry. I was a retail technologist my entire working life and so we started this company. So I have a built-in bias of course, and that is that the difference between the winners in the retail world and in fact in the entire business world and everybody else is how they value the strategic importance of information, and really that's where the battle is being fought today. We'll talk a little bit about that. So anyway, one other thing about RSR Research, our research is free to the entire world. We don't have a paywall that you have to get behind, all you have to do is sign into our website, identify yourself and all of our research, including these two reports that we're showing on the screen now are available to you and we'd love to hear your comments. So when we talk about data, there's a lot of business implications to what we're trying to do with fast data and is being driven by the real world. We saw a lot of evidence of that during the COVID pandemic in 2020, when people had to make many decisions very, very quickly, for example, a simple one, do I redirect my replenishments to store B because store A is impacted by the pandemic, those kinds of things. These two drawings are actually from a book that came out in 1997 and it was a really important book for me personally is by a guy named Steven Hegel and the name of the book was "The Adaptive Enterprise." When you think about your business model and you think about the retail business model, most of those businesses are what you see on the left. First of all, the mission of the business doesn't change much at all, it changes once in a generation or maybe once in a lifetime, but it's established quite early. And then from that point on, it's basically a wash, rinse and repeat cycle. You do the things that you do over and over and over again, year in and year out, season in and season out and the most important pieces of information that you have is the transaction data from the last cycle. So Brent knows this from his experience as a retailer, the baseline for next year's forecast is last year's performance. And this is transactional in nature, it's typically pulled from your ERP or from your best of breed solution set. On the right is where the world is really going, and before we get into the details of this, I'll just use a real example. I'm sure like me, you've watched the path of hurricanes as they go up to the Florida Coast. And one of the things you might've noticed is that there are several different possible paths. These are models and you'll hear a lot about models when you talk to people in the AI world. These are models based on lots and lots of information that they're getting from Noah and from the oceanographic people and all those kinds of folks to understand the likely path of the hurricane. Based on their analysis, the people who watch these things will choose the most likely paths and they will warn communities to lock down and do whatever they need to do. And then they see as the real hurricane progresses, they will see if it's following that path or if it's varying, it's going down a different path and based on that they will adapt to a new model. And that is what I'm talking about here. Not everything is of course is life and death as a hurricane but it's basically the same concept. What's happening is you have your internal data that you've had since this command and control model that we've mentioned on the left and you're taking an external data from the world around you and you're using that to make snap decisions or quick decisions based on what you see, what's observable on the outside. Back to my COVID example, when people were tracking the path of the pandemic through communities, they learned that customers or consumers would favor certain stores to pick up what they needed to get. So they would avoid some stores and they would favor other stores and that would cause smart retailers to redirect the replenishments on very fast cycles to those stores where the consumers are most likely to be. They also did the same thing for employees, they wanted to know where they could get their employees to service these customers, how far away were they, were they in a community that was impacted or were they relatively safe. These are the decisions that were being made in real time based on the information that they were getting from the marketplace around them. So first of all, there's a context for these decisions, there's a purpose and the bounds of the adaptive structure, and then there's a coordination of capabilities in real time and that creates an internal feedback loop, but there's also an external feedback loop. This is more of an ecosystem view and based on those two inputs what's happening internally, where your performance is internally and how your community around you is reacting to what you're providing. You make adjustments as necessary and this is the essence of the adaptive enterprise. Engineers might call this a sense and respond model, and that's where retail is going. But what's essential to that is information and information, not just about the products that you sell or the stores that you sell it in or the employees that you have on the sales floor or the number of market baskets you've completed in the day, but something much, much more. If you will, a twin, a digital twin of the physical assets of your business, all of your physical assets, the people, the products, the customers, the buildings, the rolling stock, everything, everything. And if you can create a digital equivalent of a physical thing, you can then analyze it. And if you can analyze it, you can make decisions much, much more quickly. So this is what's happening with the predict pivot based on what you see and then because it's an intrinsically more complicated model to automate decision-making where it makes sense to do so. That's pretty complicated and I talk about new data and as I said earlier, the old data is all transactional in nature, mostly about sales. Retail has been a wash in sales data for as long as I can remember, they throw most of it away but they do keep enough to create the forecast for the next business cycle. But there's all kinds of new information that they need to be thinking about and a lot of this is from the outside world and a lot of this is non-transactional in nature. So let's just take a look at some of them. Competitive information. Retailers are always interested in what the competitor is up to, what are they promoting? How well are they doing? Where are they? What kind of traffic are they generating? Sudden and significant changes in customer behaviors and sentiment, COVID is a perfect example of something that would cause this, consumers changing their behaviors very quickly. And we have the ability to observe this because in a great majority of cases nowadays, retailers have observed that customers start their shopping journey in the digital space. As a matter of fact, Google recently came out and said that 63% of all sales transactions begin in the digital domain, even if many of them end up in the store. So we have the ability to observe changes in consumer behavior, what are they looking at? When are they looking at it? How long do they spend looking at it? What else are they looking at while they're doing that? What is the outcome of them looking? Market metrics certainly, what's going on in the marketplace around you? A good example of this might be something related to a sporting event. If you've planned based on normal demand and for your store and there's a big sporting event, like a football match or a baseball game, suddenly you're going to see a spike in demand, so understanding what's going on in the market is really important. Location, demographics and psychographics. Demographics have always been important to retailers, but now we're talking about dynamic demographics. What customers or what consumers are in your market in something approaching real time. Psychographics has more to do with their attitudes, what kind of folks are in a particular marketplace, what do they think about, what do they favor, and all those kinds of interesting details. Real time environmental and social incidents, of course, I mentioned hurricanes and so that's fairly self-evident. Disruptive events, sporting events, et cetera, these are all real. And then we get the real time Internet-of-Things, these are RFID sensors, beacons, video, et cetera. There's all kinds of stuff. And this is where it really gets interesting, this is where the supply chain people will start talking about the digital twin to their physical world. If you can't say something you can't manage it and retailers want to be able to manage things in real time. So IoT along with AI analytics and the data that's generated is really, really important for them going forward. Community health, we've been talking a lot about that, the progression of the flu, et cetera, et cetera. Business schedules, commute patterns, school schedules, and weather, these are all external data that are interesting to retailers and can help them to make better operational decisions in something approaching real time. I mentioned the automation of decision-making, this is a chart from Gardner and I'd love to share with you. It's a really good one because it describes very simply what we're talking about and it also describes where the inflection of new technology happens. If you look on the left there's data, we have lots and lots of data, we're getting more data all the time. Retailers for a long time now since certainly since the seventies or eighties have been using data to describe what happened, this is the retrospective analysis that we're all very familiar with, data cubes and those kinds of things. And based on that, the human makes some decisions about what they're going to do going forward. Sometime in the not-too-distant past this data was started to be used to make diagnostic decisions, not only what happened but why did it happen? And we might think of this as, for example, if sales were depressed and for a certain product, was it because we had another product on sale that day, that's a good example of fairly straightforward diagnostics. We then move forward to what we might think of as predictive analytics and this was based on what happened in the past and why it happened in the past. This is what's likely to happen in the future. You might think of this as, for example, halo effect or the cannibalization effect of your category plans if you happen to be a grocer. And based on that, the human will make a decision as to what they need to do next. Then came along AI, and I don't want to oversell AI here. AI is a new way for us to examine lots and lots of data, particularly unstructured data. AI if I could simplify it to the next maximum extent, it essentially is a data tool that allows you to see patterns in data which might be interesting. It's very good at sifting through huge data sets of unstructured data and detecting statistically significant patterns. It gets deeper than that of course, because it uses math instead of rules. So instead of an if then or else statement that we might've used with our structured data, we use the math to detect these patterns in unstructured data and based on those we can make some models. For example, my guy in my (chuckles) just turned 70. My 70 year old man, I'm a white guy, I live in California, I have a certain income and a certain educational level. I'm likely to behave in this way based on a model, that's pretty simplistic but based on that, you can see that when another person who meets my psychographics, my demographics, my age group, my income level and all the rest, they might be expected to make a certain action. And so this is where prescriptive really comes into play. AI makes that possible. And then finally, when you start to think about moving closer to the customer or something approaching a personalized level, a one-to-one level, you suddenly find yourself in the situation of having to make not thousands of decisions but tens of millions of decisions and that's when the automation of decision-making really gets to be pretty important. So this is all interesting stuff, and I don't want to oversell it. It's exciting and it's new, it's just the latest turn of the technology screw and it allows us to use this new data to basically automate decision-making in the business in something approaching real time so that we can be much, much more responsive to real-time conditions in the marketplace. Very exciting. So I hope this is interesting. This is a piece of data from one of our recent pieces of research. This happens to be from a location analytics study we just published last week, and we asked retailers, what are the big challenges? What's been going on in the last 12 months for them, and what's likely to be happening for them in the next few years and it's just fascinating because it speaks to the need for faster decision-making. The challenges in the last 12 months are all related to COVID. First of all, fulfilling growing online demand, this is a very real time issue that we all had to deal with. But the next one was keeping forecasts in sync with changing demand and this is one of those areas where retailers are now finding themselves needing to look at that exogenous or that external data that I mentioned to you. Last year sales were not a good predictor of next year sales, they needed to look at sentiment, they needed to look at the path of the disease, they needed to look at the availability of products, alternate sourcing, global political issues, all of these things get to be pretty important and they affect the forecast. And then finally, managing the movement of the supply through the supply chain so that they could identify bottlenecks. Now, point to one of them which we can all laugh at now because it's kind of funny, it wasn't funny at the time. We ran out of toilet paper (laughs) toilet paper was a big problem. Now there is nothing quite as predictable as toilet paper, it's tied directly to the size of the population and yet we ran out. And the thing we didn't expect when the COVID pandemic hit was that people would panic and when people panic they do funny things. One of the things I do is buy up all the available toilet paper, I'm not quite sure why that happen but it did happen and it drained the supply chain. So retailers needed to be able to see that, they needed to be able to find alternative sources, they needed to be able to do those kinds of things. This gets to the issue of visibility, real-time data, fast data. Tomorrow's challenge is kind of interesting because one of the things that retailers put at the top of their list is improve inventory productivity. The reason that they are interested in this is because they will never spend as much money on anything as they will on inventory and they want the inventory to be targeted to those places where it is most likely to be consumed and not to places where it's least likely to be consumed. So this is trying to solve the issue of getting the right product at the right place at the right time to the right consumer and retailers want to improve this because the dollars are just so big. But in this complex, fast moving world that we live in today is this requires something approaching real-time visibility. They want to be able to monitor the supply chain, the DCs and the warehouses and their picking capacity. We're talking about Echo's, we're talking about Echo's level of decision-making about what's flowing through the supply chain all the way from the manufacturing door to the manufacturer through to consumption. There's two sides of the supply chain and retailers want to look at it. You'll hear retailers and people like me talk about the digital twin, this is where this really becomes important. And again, the digital twin is enabled by IoT and AI analytics. And finally, they need to increase their profitability for online fulfillment. This is a huge issue, for some grocers the volume of online orders went from less than 10% to somewhere north of 40%. And retailers did in 2020 what they needed to do to fulfill those customer orders in the year of the pandemic, that now the expectation that consumers have have been raised significantly. They now expect those features to be available to them all the time and many people really like them. Now retailers need to find out how to do it profitably and one of the first things they need to do is they need to be able to observe the process so that they can find places to optimize. This is out of our recent research and I encourage you to read it. Now when we think about the hard one wisdom that retailers have come up with we think about these things, better visibility has led to better understanding which increases their reaction time which increases their profitability. So what are the opportunities? This is the first place that you'll see something that's very common and in our research, we separate over-performers, who we call retail winners from everybody else, average and under-performers. And we've noticed throughout the life of our company that retail winners don't just do all the same things that others do, they tend to do other things and this shows up in this particular graph. This again is from the same study. So what are the opportunities to address these challenges I mentioned to you in the last slide? First of all, strategic placement of inventory throughout the supply chain to better fulfill customer needs. This is all about being able to observe the supply chain, get the inventory into a position where it can be moved quickly to fast changing demand on the consumer side. A better understanding and reacting to unplanned events that can drive a dramatic change in customer behavior. Again, this is about studying the data, analyzing the data and reacting to the data that comes before the sales transaction. So this is observing the path to purchase, observing things that are happening in the marketplace around the retailer so that they can respond very quickly, a better understanding of the dramatic changes in customer preference and path to purchase as they engage with us. One of the things we all know about consumers now is that they are in control and literally the entire planet is the assortment that's available to them. If they don't like the way they're interacting with you, they will drop you like a hot potato and go to somebody else. And what retailers fear justifiably is the default response to that is to just see if they can find it on Amazon. You don't want this to happen if you're a retailer. So we want to observe how we are interacting with consumers and how well we are meeting their needs. Optimizing omni-channel order fulfillment to improve profitability. We've already mentioned this, retailers did what they needed to do to offer new fulfillment options to consumers. Things like buy online pickup curbside, buy online pickup in-store, buy online pick up at a locker, a direct to consumer, all of those things. Retailers offer those in 2020 because the consumers demand it and needed it. So when retailers are trying to do now is to understand how to do that profitably. And finally, this is important and never goes away is the reduction of waste, shrink within the supply chain. I'm embarrassed to say that when I was a retail executive in the nineties, we were no more certain of consumer demand than anybody else was but we wanted to commit to very high service levels for some of our key categories somewhere approaching 95% and we found the best way to do that was to flood the supply chain with inventory. It sounds irresponsible now, but in those days that was a sure-fire way to make sure that the customer had what she was looking for when she looked for it. You can't do that in today's world, money is too tight and we can't have that inventory sitting around and move to the right places once we discover what the right places. We have to be able to predict, observe, and respond in something much closer to real time. Onto the next slide, the simple message here, again a difference between winners and everybody else. The messages, if you can't see it you can't manage it. And so we asked retailers to identify to what extent an AI enabled supply chain can help their company address some issues. Look at the differences here, they're shocking. Identifying network bottlenecks, this is the toilet paper story I told you about. Over half of retail winners feel that that's very important, only 19% of average and under-performers, no surprise that they're average and under-performers. Visibility into available to sell inventory anywhere within the enterprise, 58% of winners and only 32% of everybody else. And you can go on down the list but you get the just, retail winners understand that they need to be able to see their assets and something approaching real time so that they can make the best decisions possible going forward in something approaching real time. This is the world that we live in today and in order to do that you need to be able to number one, see it and number two, you need to be able to analyze it, and number three, you have to be able to make decisions based on what you saw. Just some closing observations and I hope this was interesting for you. I love talking about this stuff, you can probably tell I'm very passionate about it. But the rapid pace of change in the world today is really underscoring the importance, for example, of location intelligence as a key component of helping businesses to achieve sustainable growth, greater operational effectiveness and resilience, and ultimately your success. So this is really, really critical for retailers to understand and successfully evolving businesses need to accommodate these new consumer shopping behaviors and changes and how products are brought to the market. And in order to do that they need to be able to see people, they need to be able to see their assets, and they need to be able to see their processes in something approaching real time, and then they need to analyze it and based on what they've uncovered, they need to be able to make strategic and operational decision making very quickly. This is the new world we live in, it's a real-time world, it's a sense and respond world and it's the way forward. So Brent, I hope that was interesting for you. I really enjoyed talking about this as I said, we'd love to hear a little bit more. >> Hey, Brian, that was excellent. I always love hearing from RSR because you're so close to what retailers are talking about and the research that your company pulls together. One of the higher level research articles around fast data frankly, is the whole notion of IoT, right? Now many does a lot of work in this space. What I find fascinating based off the recent research is believe it or not, there's $1.2 trillion at stake in retail per year between now and 2025. Now, how's that possible? Well, part of it is because of the Kinsey captures not only traditional retail but also QSRs and entertainment venues, et cetera, that's considered all of retail. But it's a staggering number and it really plays to the effect that real time can have on individual enterprises, in this case we're talking of course about retail. So a staggering number and if you think about it, from streaming video to sensors, to beacons, RFID, robotics, autonomous vehicles retailers are asking today, even pizza delivery and autonomous vehicles. If you think about it, it shouldn't be that shocking, but when they were looking at 12 different industries, retail became like the number three out of 12 and there's a lot of other big industries that will be leveraging IoT in the next four years. So retailers in the past have been traditionally a little stodgy about their spend in data and analytics. I think retailers in general have got the religion that this is what it's going to take to compete in today's world, especially in a global economy and IoT really is the next frontier, which is kind of the definition of fast data. So I just wanted to share just a few examples or exemplars of retailers that are leveraging the Cloudera technology today. So now they pay for advertisement at the end of this, right? So what is Cloudera bringing to market here? So across all retail verticals, if we look at, for example, a well-known global mass virtual retailer, they're leveraging Cloudera data flow which is our solution to move data from point to point in wicked fast space. So it's open source technology that was originally developed by the NSA. So it is best to class movement of data from an ingest standpoint, but we're also able to help the round trip. So we'll pull up sensor data off all the refrigeration units for this particular retailer, they'll hit it up against the product lifecycle table, they'll understand temperature fluctuations of 10, 20 degrees based on fresh food products that are in the store, what adjustments might need to be made because frankly store operators, they'll never know refrigeration, they'll know if a cooler goes down and they'll have to react quickly, but they won't know that 10, 20 degree temperature changes have happened overnight. So this particular customer leverages further data flow to understand temperature fluctuations, the impact on the product life cycle and the roundtrip communication back to the individual department manager, let's say a produce department manager, deli manager, meat manager. Hey, you had a 20 degree drop in temperature, we suggest you lower the price on these products that we know are in that cooler for the next couple of days by 20%. So you don't have to worry about freshness issues and or potential shrink. The grocery with fresh product, if you don't sell it, you smell it, you throw it away, it's cost to the bottom line. So critically important and tremendous ROI opportunity that we're helping to enable there. From a leading global drugstore retailer, so this is more about data processing and we're excited of the recent partnership with the Nvidia. So fast data isn't always at the edge with IoT, it's also about workloads. And in retail, if you are processing your customer profiles or segmentation like intra day, you will never achieve personalization, you will never achieve one-on-one communications with retailers or with customers, and why is that? Because customers in many cases are touching your brand several times a week. So if taking you a week or longer to process your segmentation schemes, you've already lost and you'll never achieve personalization, in fact, you may offend customers by offers you might push out based on what they just bought yesterday you had no idea of it. So that's what we're really excited about, again with the computation speed that Nvidia brings to Cloudera. We're already doing this today, we've already been providing levels of exponential speed and processing data, but when Nvidia brings to the party is course GPUs right, which is another exponential improvement to processing workloads like demand forecast, customer profiles. These things need to happen behind the scenes in the back office much faster than retailers have been doing in the past. That's just the world we all live in today. And then finally, from a proximity marketing standpoint or just from an in-store operations standpoint, retailers are leveraging Cloudera today, not only data flow but also of course our compute and storage platform and ML, et cetera, to understand what's happening in store. It's almost like the metrics that we used to look at in the past in terms of conversion and traffic, all those metrics are now moving into the physical world. If you can leverage computer vision in streaming video, to understand how customers are traversing your store, how much time they're standing in front of the display, how much time they're standing in checkout line, you can now start to understand how to better merchandise the store, where the hotspots are, how to in real time improve your customer service. And from a proximity marketing standpoint, understand how to engage with the customer for right at the moment of truth, right, when they're right there in front of the particular department or category, upward leveraging mobile device. So that's the world of fast data in retail and just kind of a summary in just a few examples of how folks are leveraging Cloudera today. From an overall platform standpoint of course, Cloudera is an enterprise data platform, right? So we're helping to enable the entire data life cycle, so we're not a data warehouse, we're much more than that. So we have solutions to ingest data from the Edge, from IoT, leading practice solutions to bring it in. We also have experiences to help leverage the analytic capabilities of data engineering, data science, analytics and reporting. We're not encroaching upon the legacy solutions that many retailers have today, we're providing a platform that's open source that helps weave all this mess together that existed retail today from legacy systems because no retailer frankly is going to rip and replace a lot of stuff that they have today. Right. And the other thing the Cloudera brings to market is this whole notion of on-prem hybrid cloud and multicloud, right. So our whole culture has been built around open source technology as the company that provides most of the source code to the Apache network around all these open source technologies. We're kind of religious about open source and lack of vendor lock-in, maybe to our fault, but as a company we pull that together from a data platform standpoint so it's not a rip or replace situation. It's like helping to connect legacy systems, data and analytics, weaving that whole story together to be able to solve this whole data life cycle from beginning to end. And then finally, I want to thank everyone for joining today's session, I hope you found it informative. I can't thank Brian Kilcourse enough, like he's my trusted friend in terms of what's going on in the industry. He has much broader reach of course in talking to a lot of our partners in other technology companies out there as well. But I really appreciate everyone joining the session, and Brian, I'm going to kind of leave it open to you to any closing comments that you might have based on what we're talking about today in terms of fast data and retail. >> First of all, thank you, Brent. And this is an exciting time to be in this industry. And I'll just leave it with this. The reason that we are talking about these things is because we can, the technology has advanced remarkably in the last five years. Some of this data has been out there for a lot longer than that and it frankly wasn't even usable. But what we're really talking about is increasing the cycle time for decisions, making them go faster and faster so that we can respond to consumer expectations and delight them in ways that make us a trusted provider of their lifestyle needs. So this is really a good time to be a retailer, a real great time to be servicing the retail technology community and I'm glad to be a part of it and I'm glad to be working with you. So thank you, Brent. >> Yeah, of course, Brian. And one of the exciting things for me too, I've being in the industry as long as I have and being a former retailer is it's really exciting for me to see retailers actually spending money on data and IT for a change, right? (Brian laughs) They've all kind of come to this final pinnacle of this is what it's going to take to compete. You and I talked to a lot of colleagues, even salespeople within Cloudera, like, oh, retail, very stodgy, slow to move. That's not the case anymore. >> No. >> Everyone gets the religion of data and analytics and the value of that. And what's exciting for me to see as all this infusion of immense talent within the industry that we couldn't see years ago, Brian. I mean, retailers are like pulling people from some of the greatest tech companies out there, right? From a data science, data engineering standpoint, application developers. Retail is really getting its legs right now in terms of go to market and the leverage of data and analytics, which to me is very exciting. >> Well, you're right. I mean, I became a CIO around the time that point of sale and data warehouses were starting to happen, data cubes and all those kinds of things. And I never thought I would see a change that dramatic as the industry experience back in those days, 1989, 1990, this changed doors that, but the good news is again, as the technology is capable, we're talking about making technology and information available to retail decision-makers that consumers carry around in their purses and pockets as they're right now today. So the question is, are you going to utilize it to win or are you going to get beaten? That's really what it boils down to. >> Yeah, for sure. Hey, thanks everyone. We'll wrap up, I know we ran a little bit long, but appreciate everyone hanging in here with us. We hope you enjoyed the session. Our contact information is right there on the screen, feel free to reach out to either Brian and I. You can go to cloudera.com, we even have joint sponsored papers with RSR, you can download there as well as other eBooks, other assets that are available if you're interested. So thanks again, everyone for joining and really appreciate you taking the time today.

Published Date : Aug 5 2021

SUMMARY :

and a lot of it has to do and in order to do that you kind of leave it open to you and I'm glad to be working with you. You and I talked to a lot of of go to market and the So the question is, are you taking the time today.

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RETAIL | CLOUDERA


 

>>Thank you and good morning or afternoon, everyone, depending on where you're coming to us from and welcome to today's breakout session, fast data, a retail industry business imperative. My name is Brent Bedell, global managing director of retail, consumer bids here at Cloudera and today's hosts joining today. Joining me today is our feature speaker Brian Hill course managing partner from RSR. We'll be sharing insights and implications from recently completed research across retailers of all sizes in vertical segments. At the end of today's session, I'll share a brief overview on what I personally learned from retailers and how Cloudera continues to support retail data analytic requirements, and specifically around streaming data, ingest analytics, automation for customers around the world. There really is the next step up in terms of what's happening with data analytics today. So let's get started. So I thought it'd be helpful to provide some background first on how Clare to Cloudera is supporting and retail industry leaders specifically how they're leveraging Cloudera for leading practice data analytics use cases primarily across four key business pillars. >>And these will be very familiar to, to those in the industry. Personalize interactions of course, plays heavily into e-commerce and marketing, whether that's developing customer profiles, understanding the OB omni-channel journey, moving into the merchandising line of business focused on localized promotional planning, forecasting demand, forecast accuracy, then into supply chain where inventory visibility is becoming more and more critical today, whether it's around fulfillment or just understanding where your stuff is from a customer perspective. And obviously in and outbound route optimization right now, as retailers are taking control of actual delivery, whether it's to a physical store location or to the consumer. And then finally, uh, which is pretty exciting to me as a former store operator, you know, what's happening with physical brick and mortar right now, especially for traditional retailers. Uh, the whole re-imagining of stores right now is on fire in a lot of focus because, you know, frankly, this is where fulfillment is happening. >>Um, this is where customers, you know, still 80% of revenue is driven through retail, through physical brick and mortar. So right now store operations is getting more focused and I would say it probably is had and decades. Uh, and a lot of has to do for us with IOT data and analytics in the new technologies that really help, uh, drive, uh, benefits for retailers from a brick and mortar standpoint. And then, and then finally, um, you know, to wrap up before handing off to Brian, um, as you'll see, you know, all of these, these lines of businesses are raw, really experiencing the need for speed, uh, you know, fast data. So we're, we're moving beyond just discovery analytics. You don't things that happened five, six years ago with big data, et cetera. And we're really moving into real time capabilities because that's really where the difference makers are. >>That's where the competitive differentiation as across all of these, uh, you know, lines of business and these four key pillars within retail, um, the dependency on fast data is, is evident. Um, and it's something that we all read, you know, you know, in terms of those that are students of the industry, if you will, um, you know, that we're all focused on in terms of bringing value to the individual, uh, lines of business, but more importantly to the overall enterprise. So without further ado, I, I really want to, uh, have Brian speak here as a, as a third party analyst. You know, he, he's close in touch with what's going on, retail talking to all the solution providers, all the key retailers about what's important, what's on their plate. What are they focusing on right now in terms of fast data and how that could potentially make a difference for them going forward? So, Brian, uh, off to you, >>Well, thanks, Brent. I appreciate the introduction. And I was thinking, as you were talking, what is fast data? Well, data is fast. It is fast data it's stuff that comes at you very quickly. When I think about the decision cycles in retail, they were, they were, they were time phased and there was a time when we could only make a decision perhaps once a month and then met once a week and then once a day, and then intraday fast data is data that's coming at you and something approaching real time. And we'll explain why that's important in just a second. But first I want to share with you just a little bit about RSR. We've been in business now for 14 years. And what we do is we studied the business use cases that drive the adoption of technology in retail. We come from the retail industry, I was a retail technologist, my entire working life. >>And so we started this company. So I'm, I have a built in bias, of course, and that is that the difference between the winners in the retail world and in fact, in the entire business world and everybody else is how they value the strategic importance of information, and really that's where the battle is being fought today. We'll talk a little bit about that. So anyway, uh, one other thing about RSR research, our research is free to the entire world. Um, we don't, we don't have a paywall. You have to get behind. All you have to do is sign into our website, uh, identify yourself and all of our research, including these two reports that we're showing on the screen now are available to you. And we'd love to hear your comments. So when we talk about data, there's a lot of business implications to what we're trying to do with fast data and as being driven by the real world. >>Uh, we saw a lot of evidence of that during the COVID pandemic in 2020, when people had to make many decisions very, very quickly, for example, a simple one. Uh, do I redirect my replenishments to store B because store a is impacted by the pandemic, those kinds of things. Uh, these two drawings are actually from a book that came out in 1997. It was a really important book for me personally is by a guy named Steven Hegel. And it was the name of the book was the adaptive enterprise. When you think about your business model, um, and you think about the retail business model, most of those businesses are what you see on the left. First of all, the mission of the business doesn't change much at all. It changes once in a generation or maybe once in a lifetime, um, but it it's established quite early. >>And then from that point on it's, uh, basically a wash rinse and repeat cycle. You do the things that you do over and over and over again, year in and year out season in and season out. And the most important piece of information that you have is the transaction data from the last cycle. So a Brent knows this from his experience as a, as a retailer, the baseline for next year's forecast is last year's performance. And this is transactional in nature. It's typically pulled from your ERP or from your best of breed solution set on the right is where the world is really going. And before we get into the details of this, I'll just use a real example. I'm I'm sure like, like me, you've watched the path of hurricanes as they go up to the Florida coast. And one of the things you might've noticed is that there's several different possible paths. >>These are models, and you'll hear a lot about models. When you talk to people in the AI world, these are models based on lots and lots of information that they're getting from Noah and from the oceanographic people and all those kinds of folks to understand the likely path of the hurricane, based on their analysis, the people who watch these things will choose the most likely paths and they will warn communities to lock down and do whatever they need to do. And then they see as the, as the real hurricane progresses, they will see if it's following that path, or if it's varying, it's going down a different path and based on that, they will adapt to a new model. And that is what I'm talking about here now that not everything is of course is life and death as, as a hurricane. But it's basically the same concept what's happening is you have your internal data that you've had since this, a command and control model that we've mentioned on the left, and you're taking an external data from the world around you, and you're using that to make snap decisions or quick decisions based on what you see, what's observable on the outside, back to my COVID example, um, when people were tracking the path of the pandemic through communities, they learn that customers or consumers would favor certain stores to pick up their, what they needed to get. >>So they would avoid some stores and they would favor other stores. And that would cause smart retailers to redirect the replenishments on very fast cycles to those stores where the consumers are most likely to be. They also did the same thing for employees. Uh, they wanted to know where they could get their employees to service these customers. How far away were they, were they in a community that was impacted or were they relatively safe? These are the decisions that were being made in real time based on the information that they were getting from the marketplace around them. So, first of all, there's a context for these decisions. There's a purpose and the bounds of the adaptive structure, and then there's a coordination of capabilities in real time. And that creates an internal feedback loop, but there's also an external feedback loop. This is more of an ecosystem view. >>And based on those two, those two inputs what's happening internally, what your performance is internally and how your community around you is reacting to what you're providing. You make adjustments as necessary. And this is the essence of the adaptive enterprise. Engineers might call this a sense and respond model. Um, and that's where retail is going. But what's essential to that is information and information, not just about the products that you sell or the stores that you sell it in, or the employees that you have on the sales floor or the number of market baskets you've completed in the day, but something much, much more. Um, if you will, a twin, a digital twin of the physical assets of your business, all of your physical assets, the people, the products, the customers, the buildings, the rolling stock, everything, everything. And if you can create a digital equivalent of a physical thing, you can then analyze it. >>And if you can analyze it, you can make decisions much, much more quickly. So this is what's happening with the predict pivot based on what you see, and then, because it's an intrinsically more complicated model to automate, decision-making where it makes sense to do so. That's pretty complicated. And I talk about new data. And as I said earlier, the old data is all transactional in nature. Mostly about sales. Retail has been a wash in sales data for as long as I can remember throw, they throw most of it away, but they do keep enough to create the forecast the next for the next business cycle. But there's all kinds of new information that they need to be thinking about. And a lot of this is from the outside world. And a lot of this is non-transactional nature. So let's just take a look at some of them, competitive information. >>Those are always interested in what the competitor is up to. What are they promoting? How well are they they doing, where are they? What kind of traffic are they generating sudden and stuff, significant changes in customer behaviors and sentiment COVID is a perfect example of something that would cause this consumers changing their behaviors very quickly. And we have the ability to, to observe this because in a great majority of cases, nowadays retailers have observed that customers start their, uh, shopping journey in the digital space. As a matter of fact, Google recently came out and said, 60%, 63% of all, all sales transactions begin in the digital domain. Even if many of them end up in the store. So we have the ability to observe changes in consumer behavior. What are they looking at? When are they looking at it? How long do they spend looking at it? >>What else are they looking at while they're, while they're doing that? What are the, what is the outcome of that market metrics? Certainly what's going on in the marketplace around you? A good idea. Example of this might be something related to a sporting event. If you've planned based on normal demand and for, for your store. And there's a big sporting event, like a football match or a baseball game, suddenly you're going to see a spike in demand. So understanding what's going on in the market is really important. Location, demographics and psychographics, demographics have always been important to retailers, but now we're talking about dynamic demographics, what customers, or what consumers are, are in your market, in something approaching real time, psychographics has more to do with their attitudes. What kind of folks are, are, are in them in a particular marketplace? What do they think about what do they favor? >>And all those kinds of interesting deep tales, real-time environmental and social incidents. Of course, I mentioned hurricanes. And so that's fairly, self-evident disruptive events, sporting events, et cetera. These are all real. And then we get the real time internet of things. These are, these are RFID sensors, beacons, video, et cetera. There's all kinds of stuff. And this is where, yeah, it's interesting. This is where the supply chain people will start talking about the difference, little twin to their physical world. If you can't say something, you can manage it. And retailers want to be able to manage things in real time. So IOT, along with it, the analytics and the data that's generated is really, really important for them going forward, community health. We've been talking a lot about that, the progression of the flu, et cetera, et cetera, uh, business schedules, commute patterns, school schedules, and whether these are all external data that are interesting to retailers and can help them to make better operational in something approaching real time. >>I mentioned the automation of decision making. This is a chart from Gardner, and I'd love to share with you. It's a really good one because it describes very simply what we're talking about. And it also describes where the inflection of new technology happens. If you look on the left there's data, we have lots and lots of data. We're getting more data all the time, retailers for a long time. Now, since certainly since the seventies or eighties have been using data to describe what happened, this is the retrospective analysis that we're all very familiar with, uh, data cubes and those kinds of things. And based on that, the human makes some decisions about what they're going to do going forward. Um, sometime in the not too distant past, this data was started to be used to make diagnostic decisions, not only what happened, but why did it happen? >>And me might think of this as, for example, if sales were depressed for a certain product, was it because we had another product on sale that day, that's a good example of fairly straightforward diagnostics. We then move forward to what we might think of as predictive analytics. And this was based on what happened in the past and why it happened in the past. This is what's likely to happen in the future. You might think of this as, for example, halo effect or, or the cannibalization effect of your category plans. If you're, if you happen to be a grocer and based on that, the human will make a decision as to what they need to do next then came along AI, and I don't want to oversell AI here. AI is a new way for us to examine lots and lots of data, particularly unstructured data AI. >>If I could simplify it to its maximum extent, it essentially is a data tool that allows you to see patterns in data, which might be interesting. It's very good at sifting through huge data sets of unstructured data and detecting statistically significant patterns. It gets deeper than that, of course, because it uses math instead of rules. So instead of an if then, or else a statement that we might've used with our structured data, we use the math to detect these patterns in unstructured data. And based on those, we can make some models. For example, uh, my guy in my, in my, uh, just turned 70 on my 70 year old man, I'm a white guy. I live in California. I have a certain income and a certain educational level. I'm likely to behave in this way based on a model that's pretty simplistic. But based on that, you can see that. >>And when another person who meets my psychographics, my demographics, my age group, my income level and all the rest, um, you, they might, they might be expected to make a certain action. And so this is where prescriptive really comes into play. Um, AI makes that possible. And then finally, when you start to think about moving closer to the customer on something, approaching a personalized level, a one-to-one level, you, you suddenly find yourself in this situation of having to make not thousands of decisions, but tens of millions of decisions. And that's when the automation of decision-making really gets to be pretty important. So this is all interesting stuff, and I don't want to oversell it. It's exciting. And it's new. It's just the latest turn of the technology screw. And it allows us to use this new data to basically automate decision-making in the business, in something approaching real time so that we can be much, much more responsive to real-time conditions in the marketplace. >>Very exciting. So I hope this is interesting. This is a piece of data from one of our recent pieces of research. Uh, this happens to be from a location analytics study. We just published last week and we asked retailers, what are the big challenges what's been going on in the last 12 months for them? And what's likely to be happening for them in the next few years. And it's just fascinating because it speaks to the need for faster decision-making there. The challenges in the last 12 months were all related to COVID. First of all, fulfilling growing online demand. This is a very, very real time issue that we all had to deal with. But the next one was keeping forecasts in sync with changing demand. And this is one of those areas where retailers are now finding themselves, needing to look at that exoticness for that external data that I mentioned to you last year, sales were not a good predictor of next year of sales. >>They needed to look at sentiment. They needed to look at the path of the disease. They needed to look at the availability of products, alternate sourcing, global political issues. All of these things get to be pretty important and they affect the forecast. And then finally managing a supply them the movement of the supply through the supply chain so that they could identify bottlenecks now, point to one of them, which we can all laugh at now because it's kind of funny. It wasn't funny at the time we ran out of toilet paper, toilet paper was a big problem. Now there is nothing quite as predictable as toilet paper, it's tied directly to the size of the population. And yet we ran out and the thing we didn't expect when the COVID pandemic hit was that people would panic. And when people panic, they do funny things. >>One of the things I do is buy up all the available toilet paper. I'm not quite sure why that happened. Um, but it did happen and it drained the supply chain. So retailers needed to be able to see that they needed to be able to find alternative sources. They needed to be able to do those kinds of things. This gets to the issue of visibility, real time data, fast data tomorrow's challenge. It's kind of interesting because one of the things that they've retailers put at the top of their list is improved inventory productivity. Uh, the reason that they are interested in this is because then we'll never spend as much money, anything as they will on inventory. And they want the inventory to be targeted to those places where it is most likely to be consumed and not to places where it's least likely to be consumed. >>So this is trying to solve the issue of getting the right product at the right place at the right time to the right consumer and retailers want to improve this because the dollars are just so big, but in this complex, fast moving world that we live in today, it's this requires something approaching real-time visibility. They want to be able to monitor the supply chain, the DCS and the warehouses. And they're picking capacity. We're talking about each of us, we're talking about each his level. Decision-making about what's flowing through the supply chain all the way from the, from the manufacturing doctor, the manufacturer through to consumption. There's two sides of the supply chain and retailers want to look at it, you'll hear retailers and, and people like me talk about the digital twin. This is where this really becomes important. And again, the digital twin is, is enabled by IOT and AI analytics. >>And finally they need to re to increase their profitability for online fulfillment. Uh, this is a huge issue, uh, for some grocers, the volume of online orders went from less than 10% to somewhere north of 40%. And retailers did in 2020, what they needed to do to fulfill those customer orders in the, in the year of the pandemic, that now the expectation that consumers have have been raised significantly. They now expect those, those features to be available to them all the time. And many people really liked them. Now retailers need to find out how to do it profitably. And one of the first things they need to do is they need to be able to observe the process so that they can find places to optimize. This is out of our recent research and I encourage you to read it. >>And when we think about the hard one wisdoms that retailers have come up with, we think about these things better visibility has led to better understanding, which increases their reaction time, which increases their profitability. So what are the opportunities? This is the first place that you'll see something that's very common. And in our research, we separate over performers, who we call retail winners from everybody else, average and under-performers, and we've noticed throughout the life of our company, that retail winners, don't just do all the same things that others do. They tend to do other things. And this shows up in this particular graph, this again is from the same study. So what are the opportunities to, to address these challenges? I mentioned to you in the last slide, first of all, strategic placement of inventory throughout the supply chain to better fulfill customer needs. This is all about being able to observe the supply chain, get the inventory into a position where it can be moved quickly to fast changing demand. >>And on the consumer side, a better understanding and reacting to unplanned events that can drive a dramatic change in customer behavior. Again, this is about studying the data, analyzing the data and reacting to the data that comes before the sales transaction. So this is observing the path to purchase observing things that are happening in the marketplace around the retailer, so that they can respond very quickly, a better understanding of the dramatic changes in customer preference and path to purchase. As they engage with us. One of the things we, all we all know about consumers now is that they are in control and the literally the entire planet is the assortment that's available to them. If they don't like the way they're interacting with you, they will drop you like a hot potato and go to somebody else. And what retailers fear justifiably is the default response to that is to just see if they can find it on Amazon. >>You don't want this to happen if you're a retailer. So we want to observe how we are interacting with consumers and how well we are meeting their needs, optimizing omni-channel order fulfillment to improve profitability. We've already mentioned this, uh, retailers did what they needed to do to offer new fulfillment options to consumers. Things like buy online pickup curbside, buy online pickup in store, buy online, pick up at a locker, a direct to consumer all of those things. Retailers offer those in 2020 because the consumers demand it and needed it. So when retailers are trying to do now is to understand how to do that profitably. And finally, this is important. It never goes away. Is the reduction of waste shrink within the supply chain? Um, I'm embarrassed to say that when I was a retail executive in the nineties, uh, we were no more certain of consumer demand than anybody else was, but we, we wanted to commit to very high service levels for some of our key county categories somewhere approaching 95%. >>And we found the best way to do that was to flood the supply chain with inventory. Uh, it sounds irresponsible now, but in those days, that was a sure-fire way to make sure that the customer had what she was looking for when she looked for it. You can't do that in today's world. Money is too tight and we can't have that, uh, inventory sitting around and move to the right places. Once we discovered what the right place is, we have to be able to predict, observe and respond in something much closer to your time. One of the next slide, um, the simple message here, again, a difference between winners and everybody else, the messages, if you can't see it, you can't manage it. And so we asked retailers to identify, to what extent an AI enabled supply chain can help their company address some issues. >>Look at the differences here. They're shocking identifying network bottlenecks. This is the toilet paper story I told you about over half of retail winners, uh, feel that that's very important. Only 19% of average and under performers, no surprise that their average and under-performers visibility into available to sell inventory anywhere within the enterprise, 58% of winners and only 32% of everybody else. And you can go on down the list, but you get the just retail winners, understand that they need to be able to see their assets and something approaching real time so that they can make the best decisions possible going forward in something approaching real time. This is the world that we live in today. And in order to do that, you need to be able to number one, see it. And number two, you need to be able to analyze it. And number three, you have to be able to make decisions based on what you saw, just some closing observations on. >>And I hope this was interesting for you. I love talking about this stuff. You can probably tell I'm very passionate about it, but the rapid pace of change in the world today is really underscoring the importance. For example, of location intelligence, as a key component of helping businesses to achieve sustainable growth, greater operational effectiveness and resilience, and ultimately your success. So this is really, really critical for retailers to understand and successfully evolving businesses need to accommodate these new consumer shopping behaviors and changes in how products are brought to the market. So that, and in order to do that, they need to be able to see people. They need to be able to see their assets, and they need to be able to see their processes in something approaching real time, and then they need to analyze it. And based on what they've uncovered, they need to be able to make strategic and operational decision making very quickly. This is the new world we live in. It's a real-time world. It's a, it's a sense and respond world and it's the way forward. So, Brent, I hope that was interesting for you. I really enjoyed talking about this, as I said, we'd love to hear a little bit more. >>Hey, Brian, that was excellent. You know, I always love me love hearing from RSR because you're so close to what retailers are talking about and the research that your company pulls together. Um, you know, one of the higher level research articles around, uh, fast data frankly, is the whole notion of IOT, right? And he does a lot of work in this space. Um, what I find fascinating based off the recent research is believe it or not, there's $1.2 trillion at stake in retail per year, between now and 2025. Now, how is that possible? Well, part of it is because the Kinsey captures not only traditional retail, but also QSRs and entertainment then use et cetera. That's considered all of retail, but it's a staggering number. And it really plays to the effect that real-time can have on individual enterprises. In this case, we're talking of course, about retail. >>So a staggering number. And if you think about it from streaming video to sensors, to beacons, RFID robotics, autonomous vehicles, retailers are testing today, even pizza delivery, you know, autonomous vehicle. Well, if you think about it, it shouldn't be that shocking. Um, but when they were looking at 12 different industries, retail became like the number three out of 12, and there's a lot of other big industries that will be leveraging IOT in the next four years. So, um, so retailers in the past have been traditionally a little stodgy about their spend in data and analytics. Um, I think retailers in general have got the religion that this is what it's going to take to compete in today's world, especially in a global economy. And in IOT really is the next frontier, which is kind of the definition of fast data. Um, so I, I just wanted to share just a few examples or exemplars of, of retailers that are leveraging Cloudera technology today. >>So now, so now the paid for advertisement at the end of this, right? So, so, you know, so what bringing to market here. So, you know, across all retail, uh, verticals, you know, if we look at, you know, for example, a well-known global mass virtual retailer, you know, they're leveraging Cloudera data flow, which is our solution to move data from point to point in wicked fast space. So it's open source technology that was originally developed by the NSA. So, um, it is best to class movement of data from an ingest standpoint, but we're also able to help the roundtrip. So we'll pull the sensor data off all the refrigeration units for this particular retailer. They'll hit it up against the product lifecycle table. They'll understand, you know, temperature fluctuations of 10, 20 degrees based on, you know, fresh food products that are in the store, what adjustments might need to be made because frankly store operators, they'll never know refrigeration don't know if a cooler goes down and they'll have to react quickly, but they won't know that 10, 20 degree temperature changes have happened overnight. >>So this particular customer leverages father a data flow understand temperature, fluctuations the impact on the product life cycle and the round trip communication back to the individual department manager, let's say a produce department manager, deli manager, meat manager, Hey, you had, you know, a 20 degree drop in temperature. We suggest you lower the price on these products that we know are in that cooler, um, for the next couple of days by 20%. So you don't have to worry, tell me about freshness issues and or potential shrink. So, you know, the grocery with fresh product, if you don't sell it, you smell it, you throw it away. It's lost to the bottom line. So, you know, critically important and, you know, tremendous ROI opportunity that we're helping to enable there, uh, from a, a leading global drugstore retailer. So this is more about data processing and, you know, we're excited to, you know, the recent partnership with the Vidia. >>So fast data, isn't always at the edge of IOT. It's also about workloads. And in retail, if you are processing your customer profiles or segmentation like intra day, you will ever achieve personalization. You will never achieve one-on-one communications with readers killers or with customers. And why is that? Because customers in many cases are touching your brand several times a week. So taking you a week or longer to process your segmentation schemes, you've already lost and you'll never achieve personalization in frack. In fact, you may offend customers by offering. You might push out based on what they just bought yesterday. You had no idea of it. So, you know, that's what we're really excited about. Uh, again, with, with the computation speed, then the video brings to, to Cloudera, we're already doing this today already, you know, been providing levels, exponential speed and processing data. But when the video brings to the party is course GPU's right, which is another exponential improvement, uh, to processing workloads like demand forecast, customer profiles. >>These things need to happen behind the scenes in the back office, much faster than retailers have been doing in the past. Um, that's just the world we all live in today. And then finally, um, you know, proximity marketing standpoint, or just from an in-store operation standpoint, you know, retailers are leveraging Cloudera today, not only data flow, but also of course our compute and storage platform and ML, et cetera, uh, to understand what's happening in store. It's almost like the metrics that we used to look at in the past in terms of conversion and traffic, all those metrics are now moving into the physical world. If you can leverage computer vision in streaming video, to understand how customers are traversing your store, how much time they're standing in front of the display, how much time they're standing in checkout line. Um, you can now start to understand how to better merchandise the store, um, where the hotspots are, how to in real time improve your customer service. >>And from a proximity marketing standpoint, understand how to engage with the customer right at the moment of truth, right? When they're right there, um, in front of a particular department or category, you know, of course leveraging mobile devices. So that's the world of fast data in retail and just kind of a summary in just a few examples of how folks are leveraging Cloudera today. Um, you know, from an overall platform standpoint, of course, father as an enterprise data platform, right? So, you know, we're, we're helping to the entire data life cycle. So we're not a data warehouse. Um, we're much more than that. So we have solutions to ingest data from the edge from IOT leading practice solutions to bring it in. We also have experiences to help, you know, leverage the analytic capabilities of, uh, data engineering, data science, um, analytics and reporting. Uh, we're not, uh, you know, we're not, we're not encroaching upon the legacy solutions that many retailers have today. >>We're providing a platform, this open source that helps weave all of this mess together that existed retail today from legacy systems because no retailer, frankly, is going to rip and replace a lot of stuff that they have today. Right. And the other thing that Cloudera brings to market is this whole notion of on-prem hybrid cloud and multi-cloud right. So our whole, our whole culture has been built around open source technology as the company that provides most of the source code to the Apache network around all these open source technologies. Um, we're kind of religious about open source and lack of vendor lock-in, uh, maybe to our fault. Uh, but as a company, we pull that together from a data platform standpoint. So it's not a rip and replace situation. It's like helping to connect legacy systems, data and analytics, um, you know, weaving that whole story together to be able to solve this whole data life cycle from beginning to end. >>And then finally, you know, just, you know, I want to thank everyone for joining today's session. I hope you found it informative. I can't say Brian killed course enough. Um, you know, he's my trusted friend in terms of what's going on in the industry. He has much broader reach of course, uh, in talking to a lot of our partners in, in, in, in other, uh, technology companies out there as well. But I really appreciate everyone joining the session and Brian, I'm going to kind of leave it open to you to, you know, any closing comments that you might have based on, you know, what we're talking about today in terms of fast data and retail. >>First of all, thank you, Brent. Um, and this is an exciting time to be in this industry. Um, and I'll just leave it with this. The reason that we are talking about these things is because we can, the technology has advanced remarkably in the last five years. Some of this data has been out there for a lot longer than that in it, frankly wasn't even usable. Um, but what we're really talking about is increasing the cycle time for decisions, making them go faster and faster so that we can respond to consumer expectations and delight them in ways that that make us a trusted provider of their life, their lifestyle needs. So this is really a good time to be a retailer, a real great time to be servicing the retail technology community. And I'm glad to be a part of it. And I was glad to be working with you. So thank you, Brian. >>Yeah, of course, Brian, and one of the exciting things for me to not being in the industry, as long as I have and being a former retailer is it's really exciting for me to see retailers actually spending money on data and it for a change, right? They've all kind of come to this final pinnacle of this is what it's going to take to compete. Um, you know, you know, and I talked to, you know, a lot of colleagues, even, even salespeople within Cloudera, I like, oh, retail, very stodgy, you know, slow to move. That's not the case anymore. Um, you know, religion is everyone's, everyone gets the religion of data and analytics and the value of that. And what's exciting for me to see as all this infusion of immense talent within the industry years ago, Brian, I mean, you know, retailers are like, you know, pulling people from some of the, you know, the greatest, uh, tech companies out there, right? From a data science data engineering standpoint, application developers, um, retail is really getting this legs right now in terms of, you know, go to market and in the leverage of data and analytics, which to me is very exciting. Well, >>You're right. I mean, I, I became a CIO around the time that, uh, point of sale and data warehouses were starting to happen data cubes and all those kinds of things. And I never thought I would see a change that dramatic, uh, as the industry experience back in those days, 19 89, 19 90, this changed doors that, but the good news is again, as the technology is capable, uh, it's, it's, we're talking about making technology and information available to, to retail decision-makers that consumers carry around in their pocket purses and pockets is there right now today. Um, so the, the, the question is, are you going to utilize it to win or are you going to get beaten? That's really what it boils down to. Yeah, >>For sure. Uh, Hey, thanks everyone. We'll wrap up. I know we ran a little bit long, but, uh, appreciate, uh, everyone, uh, hanging in there with us. We hope you enjoyed the session. The archive contact information is right there on the screen. Feel free to reach out to either Brian and I. You can go to cloudera.com. Uh, we even have, you know, joint sponsored papers with RSR. You can download there as well as eBooks and other assets that are available if you're interested. So thanks again, everyone for joining and really appreciate you taking the time. >>Hello everyone. And thanks for joining us today. My name is Brent Bedell, managing director retail, consumer goods here at Cloudera. Cloudera is very proud to be partnering with companies like three soft to provide data and analytic capabilities for over 200 retailers across the world and understanding why demand forecasting could be considered the heartbeat of retail. And what's at stake is really no mystery to most, to most retailers. And really just a quick level set before handing this over to my good friend, uh, Camille three soft, um, you know, IDC Gartner. Um, many other analysts have kind of summed up an average, uh, here that I thought would be important to share just to level set the importance of demand forecasting or retail. And what's at stake. I mean the combined business value for retailers leveraging AI and IOT. So this is above and beyond. What demand forecasting has been in the past is a $371 billion opportunity. >>And what's critically important to understand about demand forecasting. Is it directly impacts both the top line and the bottom line of retail. So how does it affect the top line retailers that leverage AI and IOT for demand forecasting are seeing average revenue increases of 2% and think of that as addressing the in stock or out of stock issue in retail and retail is become much more complex now, and that is no longer just brick and mortar, of course, but it's fulfillment centers driven by e-commerce. So inventory is now having to be spread over multiple channels. Being able to leverage AI and IOT is driving 2% average revenue increases. Now, if you think about the size of most retailers or the average retailer that on its face is worth millions of dollars of improvement for any individual retailer on top of that is balancing your inventory, getting the right product in the right place and having productive inventory. >>And that is the bottom line. So the average inventory reduction, leveraging AI and IOT as the analyst have found, and frankly, having spent time in this space myself in the past a 15% average inventory reduction is significant for retailers not being overstocked on product in the wrong place at the wrong time. And it touches everything from replenishment to out-of-stocks labor planning and customer engagement for purposes of today's conversation. We're going to focus on inventory and inventory optimization and reducing out-of-stocks. And of course, even small incremental improvements. I mentioned before in demand forecast accuracy have millions of dollars of direct business impact, especially when it comes to inventory optimization. Okay. So without further ado, I would like to now introduce Dr. Camille Volker to share with you what his team has been up to. And some of the amazing things that are driving at top retailers today. So over to you, Camille, >>Uh, I'm happy to be here and I'm happy to speak to you, uh, about, uh, what we, uh, deliver to our customers. But let me first, uh, introduce three soft. We are a 100 person company based in Europe, in Southern Poland. Uh, and we, uh, with 18 years of experience specialized in providing what we call a data driven business approach, uh, to our customers, our roots are in the solutions in the services. We originally started as a software house. And on top of that, we build our solutions. We've been automation that you get the software for biggest enterprises in Poland, further, we understood the meaning of data and, and data management and how it can be translated into business profits. Adding artificial intelligence on top of that, um, makes our solutions portfolio holistic, which enables us to realize very complex projects, which, uh, leverage all of those three pillars of our business. However, in the recent time, we also understood that services is something which only the best and biggest companies can afford at scale. And we believe that the future of retail, uh, demon forecasting is in the product solutions. So that's why we created occupy our AI platform for data driven retail. That also covers this area that we talked about today. >>I'm personally proud to be responsible for our technology partnerships with other on Microsoft. Uh, it's a great pleasure to work with such great companies and to be able to, uh, delivered a solution store customers together based on the common trust and understanding of the business, uh, which cumulates at customer success at the end. So why, why should you analyze data at retail? Why is it so important? Um, it's kind of obvious that there is a lot of potential in the data per se, but also understanding the different areas where it can be used in retail is very important. We believe that thanks to using data, it's basically easier to the right, uh, the good decisions for the business based on the facts and not intuition anymore. Those four areas that we observe in retail, uh, our online data analysis, that's the fastest growing sector, let's say for those, for those data analytics services, um, which is of course based on the econ and, uh, online channels, uh, availability to the customer. >>Pandemic only speeds up this process of engagement of the customers in that channel, of course, but traditional offline, um, let's say brick and mortar shops. Uh, they still play the biggest role for most of the retailers, especially from the FMCG sector. However, it's also very important to remember that there is plenty of business, uh, related questions that meet that need to be answered from the headquarter perspective. So is it actually, um, good idea to open a store in a certain place? Is it a good idea to optimize a stock with Saturday in producer? Is it a good idea to allocate the goods to online channel in specific way, those kinds of questions they are, they need to be answered in retail every day. And with that massive amount of factors coming into that question, it's really not, not that easy to base, only on the intuition and expert knowledge, of course, uh, as Brent mentioned at the beginning, the supply chain and everything who's relates to that is also super important. We observe our customers to seek for the huge improvements in the revenue, just from that one single area as well. Okay. >>So let me present you a case study of one of our solutions, and that was the lever to a leading global grocery retailer. Uh, the project started with the challenge set of challenges that we had to conquer. And of course the most important was how to limit overstocks and out of stocks. Uh, that's like the holy grail in of course, uh, how to do it without flooding the stores with the goods and in the same time, how to avoid empty shelves, um, from the perspective of the customer, it was obvious that we need to provide a very well, um, a very high quality of sales forecast to be able to ask for, uh, what will be the actual sales of the individual product in each store, uh, every day, um, considering huge role of the perishable goods in the specific grocery retailer, it was a huge challenge, uh, to provide a solution that was able to analyze and provide meaningful information about what's there in the sales data and the other factors we analyzed on daily basis at scale, however, uh, our holistic approach implementing AI with data management, uh, background, and these automation solutions all together created a platform that was able to significantly increase, uh, the sales for our customer just by minimizing out of stocks. >>In the same time we managed to not overflow the stock, the shops with the goods, which actually decreased losses significantly, especially on the fresh fruit. >>Having said that this results of course translate into the increase in revenue, which can be calculated in hundreds of millions of dollars per year. So how the solution actually works well in its principle, it's quite simple. We just collect the data. We do it online. We put that in our data lake, based on the cloud, there are technology, we implement our artificial intelligence models on top of it. And then based on the aggregated information, we create the forecast and we do it every day or every night for every single product in every single store. This information is sent to the warehouses and then the automated replenishment based on the forecast is on the way the huge and most important aspect of that is the use of the good tools to do the right job. Uh, having said that you can be sure that there is too many information in this data, and there is actually two-minute forecast created every night that any expert could ever check. >>This means our solution needs to be, uh, very robust. It needs to provide information with high quality and high porosity. There is plenty of different business process, which is on our forecast, which need to be delivered on time for every product in each individual shop observing the success of this project and having the huge market potential in mind, we decided to create our QB, which can be used by many retailers who don't want to create a dedicated software for that. We'll be solving this kind of problem. Occupy is, uh, our software service offering, which is enabling retailers to go data driven path management. >>We create occupant with retailers, for retailers, uh, implementing artificial intelligence, uh, on top of data science models created by our experts, uh, having data, data analysis in place based on data management tools that we use we've written first, um, attitude. The uncertain times of pandemic clearly shows that it's very important to apply correction factors, which are sometimes required because we need to respond quickly to the changes in the sales characteristics. That's why occupy B is open box solution, which means that you basically can implement that in your organization. We have without changing the process internally, it's all about mapping your process into this into the system, not the other way around the fast trends and products, collection possibilities allow the retailers to react to any changes, which are pure in the sales every day. >>Also, it's worth to mention that really it's not only FMCG. And we believe that different use cases, which we observed in fashion health and beauty, common garden pharmacies and electronics, flavors of retail are also very meaningful. They also have one common thread. That's the growing importance of e-commerce. That's why we didn't want to leave that aside of occupant. And we made everything we can to implement a solution, which covers all of the needs. When you think about the factors that affect sales, there is actually huge variety of data and that we can analyze, of course, the transactional data that every dealer possesses like sales data from sale from, from e-commerce channel also, uh, averaging numbers from weeks, months, and years makes sense, but it's also worth to mention that using the right tool that allows you to collect that data from also internal and external sources makes perfect sense for retail. Uh, it's very hard to imagine a competitive retailer that is not analyzing the competitor's activity, uh, changes in weather or information about some seasonal stores, which can be very important during the summer during the holidays, for example. Uh, but on the other hand, um, having that information in one place makes the actual benefit and environment for the customer. >>Okay. Demon forecasting seems to be like the most important and promising use case. We can talk about when I think about retail, but it's also their whole process of replenishment that can cover with different sets of machine learning models. And they done management tools. We believe that analyzing data from different parts of the retail, uh, replenishment process, uh, can be achieved with implementing a data management solution based on caldera products and with adding some AI on top of it, it makes perfect sense to focus on not only demand forecasting, but also further use cases down the line when it comes to the actual benefits from implementing solutions for demand management, we believe it's really important to analyze them holistically. First is of course, out of stocks, memorization, which can be provided by simply better sales focus, but also reducing overstocks by better inventory management can be achieved in, in the same time. Having said that we believe that analyzing data without any specific new equipment required in point of sales is the low hanging fruit that can be easily achieved in almost every industry in almost every regular customer. >>Hey, thanks, Camille, having worked with retailers in this space for a couple of decades, myself, I was really impressed by a couple of things and they might've been understated, frankly. Um, the results of course, I mean, you, you know, as I kind of set up this session, you doubled the numbers on the statistics that the analysts found. So obviously in customers you're working with, um, you know, you're, you're doubling average numbers that the industry is having and, and most notably how the use of AI or occupy has automated so many manual tasks of the past, like tour tuning, item profiles, adding new items, et cetera. Uh, and also how quickly it felt like, and this is my, my core question. Your team can cover, um, or, or provide the solution to, to not only core center store, for example, in grocery, but you're covering fresh products. >>And frankly, there are, there are solutions out on the market today that only focus on center store non-perishable department. So I was really impressed by the coverage that you're able to provide as well. So can you articulate kind of what it takes to get up and running and your overall process to roll out the solution? I feel like based on what you talked about, um, and how you were approaching this in leveraging AI, um, that you're, you're streamlining processes of legacy demand, forecasting solutions that required more manual intervention, um, how quickly can you get people set up and what is the overall process like to get started with soft? >>Yeah, it's usually it takes three to six months, uh, to onboard a new customer to that kind of solution. And frankly it depends on the data that the customer, uh, has. Uh, usually it's different, uh, for smaller, bigger companies, of course. Uh, but we believe that it's very important to start with a good foundation. The platform needs to be there, the platform that is able to, uh, basically analyze or process different types of data, structured, unstructured, internal, external, and so on. But when you have this platform set, it's all about starting ingesting data there. And usually for a smaller companies, it's easier to start with those, let's say, low hanging fruits. So the internal data, which is there, this data has the highest veracity is already easy to start with, to work with them because everyone in the organization understands this data for the bigger companies. It might be important to ingest also kind of more unstructured data, some kind of external data that need to be acquired. So that may, that may influence the length of the process. But we usually start with the customers. We have, uh, workshops. That's very important to understand their business because not every deal is the same. Of course, we believe that the success of our customers comes also due to the fact that we train those models, those AI models individually to the needs of our >>Totally understand and POS data, every retailer has right in, in one way shape or form. And it is the fundamental, uh, data point, whether it's e-comm or the brick and mortar data, uh, every retailer has that data. So that, that totally makes sense. But what you just described was bunts. Um, there are, there are legacy and other solutions out there that this could be a, a year or longer process to roll out to the number of stores, for example, that you're scaling to. So that's highly impressive. And my guess is a lot of the barriers that have been knocked down with your solution are the fact that you're running this in the cloud, um, you know, on, from a compute standpoint on Cloudera from a public cloud stamp point on Microsoft. So there's, there's no, it intervention, if you will, or hurdles in preparation to get the database set up and in all of the work, I would imagine that part of the time-savings to getting started, would that be an accurate description? >>Yeah, absolutely. Uh, in the same time, this actually lowering the business risks, because we simply take data and put that into the data lake, which is in the cloud. We do not interfere with the existing processes, which are processing this data in the combined. So we just use the same data. We just already in the company, we ask some external data if needed, but it's all aside of the current customers infrastructure. So this is also a huge gain, as you said, right? >>And you're meeting customers where they are. Right. So, as I said, foundationally, every retailer POS data, if they want to add weather data or calendar event data or, you know, want incorporate a course online data with offline data. Um, you have a roadmap and the ability to do that. So it is a building block process. So getting started with, for data, uh, as, as with POS online or offline is the foundational component, which obviously you're very good at. Um, and then having that ability to then incorporate other data sets is critically important because that just improves demand, forecast accuracy, right. By being able to pull in those, those other data sources, if you will. So Camille, I just have one final question for you. Um, you know, there, there are plenty of not plenty, but I mean, there's enough demand forecasting solutions out on the market today for retailers. One of the things that really caught my eye, especially being a former retailer and talking with retailers was the fact that you're, you're promoting an open box solution. And that is a key challenge for a lot of retailers that have, have seen black box solutions come and go. Um, and especially in this space where you really need direct input from the, to continue to fine tune and improve forecast accuracy. Could you give just a little bit more of a description or response to your approach to open box versus black box? >>Yeah, of course. So, you know, we've seen in the past the failures of the projects, um, based on the black box approach, uh, and we believe that this is not the way to go, especially with this kind of, uh, let's say, uh, specialized services that we provide in meaning of understanding the customer's business first and then applying the solution, because what stands behind our concept in occupy is the, basically your process in the organization as a retailer, they have been optimized for years already. That's where retailers put their, uh, focus for many years. We don't want to change that. We are not able to optimize it properly. For sure as it combined, we are able to provide you a tool which can then be used for mapping those very well optimized process and not to change them. That's our idea. And the open box means that in every process that you will map in the solution, you can then in real time monitor the execution of those processes and see what is the result of every step. That way we create truly explainable experience for our customers, then okay, then can easily go for the whole process and see how the forecast, uh, was calculated. And what is the reason for a specific number to be there at the end of the day? >>I think that is, um, invaluable. Um, can be, I really think that is a differentiator and what three soft is bringing to market with that. Thanks. Thanks everyone for joining us today, let's stay in touch. I want to make sure to leave, uh, uh, Camille's information here. Uh, so reach out to him directly or feel free at any, any point in time, obviously to reach out to me, um, again, so glad everyone was able to join today, look forward to talking to you soon.

Published Date : Aug 4 2021

SUMMARY :

At the end of today's session, I'll share a brief overview on what I personally learned from retailers and And then finally, uh, which is pretty exciting to me as a former Um, this is where customers, you know, still 80% of revenue is driven through retail, and it's something that we all read, you know, you know, in terms of those that are students of the industry, And I was thinking, as you were talking, what is fast data? So I'm, I have a built in bias, of course, and that is that most of those businesses are what you see on the left. And one of the things you might've noticed is that there's several different possible paths. on the outside, back to my COVID example, um, retailers to redirect the replenishments on very fast cycles to those stores where the information, not just about the products that you sell or the stores that you sell it in, And a lot of this is from the outside world. And we have the ability to, Example of this might be something related to a sporting event. We've been talking a lot about that, the progression of the flu, et cetera, et cetera, uh, And based on that, the human makes some decisions about what they're going to do going And this was based on what happened in the past and why it And based on those, we can make some models. And then finally, when you start to think about moving closer to the customer that I mentioned to you last year, sales were not a good predictor of next year All of these things get to be pretty important Uh, the reason that they are interested in this is because then we'll the manufacturer through to consumption. And one of the first things they need to do is they need to be able to observe the process so that they can find I mentioned to you in the last slide, first of all, the entire planet is the assortment that's available to them. Um, I'm embarrassed to say that when I was a retail executive in the nineties, One of the next slide, um, And in order to do that, you need to be able to number one, see it. So this is really, really critical for retailers to understand and successfully And it really plays to the effect that real-time can have And in IOT really is the next frontier, which is kind of the definition of fast So now, so now the paid for advertisement at the end of this, right? So you don't have to to Cloudera, we're already doing this today already, you know, been providing Um, that's just the world we all live in today. We also have experiences to help, you know, leverage the analytic capabilities And the other thing that Cloudera everyone joining the session and Brian, I'm going to kind of leave it open to you to, you know, any closing comments Um, and this is an exciting time to be in this industry. Yeah, of course, Brian, and one of the exciting things for me to not being in the industry, as long as I have and being to win or are you going to get beaten? Uh, we even have, you know, joint sponsored papers with RSR. And really just a quick level set before handing this over to my good friend, uh, Camille three soft, So inventory is now having to be spread over multiple channels. And that is the bottom line. in the recent time, we also understood that services is something which only to the right, uh, the good decisions for the business based it's really not, not that easy to base, only on the intuition and expert knowledge, sales forecast to be able to ask for, uh, what will be the actual sales In the same time we managed to not overflow the data lake, based on the cloud, there are technology, we implement our artificial intelligence This means our solution needs to be, uh, very robust. which means that you basically can implement that in your organization. but on the other hand, um, having that information in one place of sales is the low hanging fruit that can be easily numbers that the industry is having and, and most notably how I feel like based on what you talked about, um, And frankly it depends on the data that the customer, And my guess is a lot of the barriers that have been knocked down with your solution We just already in the company, we ask some external data if needed, but it's all Um, and especially in this space where you really need direct And the open box means that in every process that you will free at any, any point in time, obviously to reach out to me, um, again,

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Breaking Analysis: Cyber, Cloud, Hybrid Work & Data Drive 8% IT Spending Growth in 2021


 

>> From theCUBE studios in Palo Alto and Boston, bringing you data-driven insights from theCUBE in ETR. This is Breaking Analysis with Dave Vellante. >> Every CEO is figuring out the right balance for new hybrid business models. Now, regardless of the chosen approach, which is going to vary, technology executives, they understand they have to accelerate their digital and build resilience as well as optionality into their platforms. Now, this is driving a dramatic shift in IT investments. And at the macro level, we expect total spending to increase at as much as 8% or even more in 2021, compared to last year's contraction. Investments in cybersecurity, cloud collaboration that are enabling hybrid work as well as data, including analytics, AI, and automation are at the top of the spending priorities for CXOs. Hello everyone. And welcome to this week's Wiki Bond Cube insights, powered by ETR. In this Breaking Analysis, we're pleased to welcome back Erik Bradley, who is the chief engagement strategist at our partner, ETR. Now in this segment, we're going to share some of the latest findings from ETR's surveys and provide our commentary on what it means for the markets, for sellers, and for buyers. Erik, great to see you, my friend. Welcome back to Breaking Analysis. >> Thank you for having me, always enjoy it. We've got some fresh data to talk about on this beautiful summer Friday, so I'm ready to go. >> All right. I'm excited too. Okay, last year we saw a contraction in IT spending by at least 5%. And now we're seeing a snapback to, as I said, at least 8% growth relative to last year. You got to go back to 2007 just before the financial crisis to see this type of top line growth. The shift to hybrid work, it's exposed us to new insidious security threats. And we're going to discuss that in a lot more detail. Cloud migration of course picked up dramatically last year, and based on the recent earnings results of the big cloud players, for now we got two quarters of data, that trend continues as organizations are accelerating their digital platform build-outs, and this is bringing a lot of complexity and a greater need for so-called observability solutions, which Erik is going to talk about extensively later on in this segment. Data, we think is entering a new era of de-centralization. We see organizations not only focused on analytics and insights, but actually creating data products. Leading technology organizations like JP Morgan, they're heavily leaning into this trend toward packaging and monetizing data products. And finally, as part of the digital transformation trend, we see no slow down in spending momentum for AI and automation, generally in RPA specifically. Erik, anything you want to add to that top level narrative? >> Yeah, there's a lot to take on the macro takeaways. The first thing I want to state is that that 8, 8.5% number that started off at just 3 to 4% beginning of the year. So as the year has continued, we are just seeing this trend in budgets continue to accelerate, and we don't have any reason to believe that's going to stop. So I think we're going to just keep moving on heading into 2021. And we're going to see a banner year of spend this year and probably next as well. >> All right, now we're going to bring up a chart that shows kind of that progression here of spending momentum. So Erik, I'm going to let you comment on this chart that tracks those projections over time. >> Erik: Yeah. Great. So thank you very much for pulling this up. As you can see in the beginning part of the year, when we asked people, "What do you plan to spend throughout 2021?" They were saying it would be about a 4% increase. Which we were happy with because as you said last year, it was all negative. That continues to accelerate and is only hyper accelerating now as we head into the back half of the year. In addition, after we do this data, I always host a panel of IT end users to kind of get their feedback on what we collected, to a man, every one of them expects continued increase throughout next year. There are some concerns and uncertainty about what we're seeing right now with COVID, but even with that, they're planning their budgets now for 2022 and they're planning for even further increases going forward. >> Dave: Great, thank you. So we circled that 8%. That's really kind of where we thought it was going to land. And so we're happy with that number, but let's take a look at where the action is by technology sector. This chart that we're showing you here, it tracks spending priorities back to last September. When I believe that was the point, Erik, that cyber became the top priority in the survey, ahead of cloud collaboration, analytics, and data, and the other sectors that you see there. Now, Erik, we should explain. These areas, they're the top seven, and they outrank all the other sectors. ETR tracks many, many other sectors, but please weigh in here and share your thoughts on this data. >> Erik: Yeah. Security, security, security. It hasn't changed. It had really hasn't. The hybrid work. The fact that you're behind the firewall one day and then you're outside working from home the next, switching in and out of networks. This is just a field day for bad actors. And we have no choice right now, but to continue to spend, because as you're going to talk about in a minute, hybrid's here to stay. So we have to figure out a way to secure behind the firewall on-prem. We also have to secure our employees and our assets that are not in the office. So it is a main priority. One of the things that point out on this chart, I had a couple of ITN users talk to me about customer experience and automation really need to move from the right part of that chart to the left. So they're seeing more in what you were talking about in RPA and automation, starting to creep up heading into next year. As cloud migration matures, as you know, cybersecurity spending has been ramping up. People are going to see a little bit more on the analytics and a little bit more on the automation side going forward. >> Dave: Great. Now, this next data view- well, first of all, one of the great things about the ETR dataset is that you can ask key questions and get a time series. And I will tell you again, I go back to last March, ETR hit it. They were the first on the work from home trend. And so if you were on that trend, you were able to anticipate it. And a lot of investors I think took advantage of that. Now, but we've shown this before, but there's new data points that we want to introduce. So the data tracks how CIOs and IT buyers have responded to the pandemic since last March. Still 70% of the organizations have employees working remotely, but 39% now have employees fully returning to the office and Erik, the rest of the metrics all point toward positives for IT spending, although accelerating IT deployments there at the right peaked last year, as people realized they had to invest in the future. Your thoughts? >> Erik: Yeah, this is the slide for optimism, without a doubt. Of the entire macro survey we did, this is the most optimistic slide. It's great for overall business. It's great for business travel. This is well beyond just IT. Hiring is up. I've had some people tell me that they possibly can't hire enough people right now. They had to furlough employees, they had to stop projects, and they want to re accelerate those now. But talent is very hard to find. Another point to you about your automation and RPA, another underlying trend for there. The one thing I did want to talk about here is the hybrid workplace, but I believe there's another slide on it. So just to recap on this extremely optimistic, we're seeing a lot of hiring. We're seeing increased spending, and I do believe that that's going to continue. >> Yeah I'm glad you brought that up because a session that you and I did a while ago, we pointed out, it was earlier this year, that the skill shortage is one potential risk to our positive scenario. We'll keep an eye on that, but so I want to show another set of data that we've showed previously, but ETR again, has added some new questions in here. So note here that 60% of employees still work remotely with 33% in a hybrid model currently, and the CIO's expect that to land on about 42% hybrid workforce with around 30% working remotely, which is around, it's been consistent by the way on your surveys, but that's about double the historic norm, Eric. >> Erik: Yeah, and even further to your point Dave, recently I did a panel asking people to give me some feedback on this. And three of those four experts basically said to me, if we had greed run this survey right now, that even more people would be saying remote. That they believe that that number, that's saying they're expecting that number of people to be back in office, is actually too optimistic. They're actually saying that maybe if we had- cause as a survey launched about six, seven weeks ago before this little blip on the radar, before the little COVID hiccup we're seeing now, and they're telling me that they believe if we reran this now that it would be even more remote work, even more hybrid and less returned to the office. So that's just an update I wanted to offer on this slide. >> Dave: Yeah. Thank you for that. I mean, we're still in this kind of day to day, week to week, month to month mode, but I want to do a little double click on this. We're not going to share this data, but there was so much ETR data. We got to be selective. But if you double click on the hybrid models, you'll see that 50% of organizations plan to have time roughly equally split between onsite and remote with again around 30 or 31% mostly remote, with onsite space available if they need it. And Erik, very few don't plan to have some type of hybrid model, at least. >> Yeah, I think it was less than 10% that said it was going to be exclusively onsite. And again, that was a more optimistic scenario six, seven weeks ago than we're seeing right now throughout the country. So I agree with you, hybrid is here to stay. There really is no doubt about it. from everyone I speak to when, you know, I basically make a living talking to IT end users. Hybrid is here to stay. They're planning for it. And that's really the drive behind the spending because you have to support both. You have to give people the option. You have to, from an IT perspective, you also have to support both, right? So if somebody is in office, I need the support staff to be in office. Plus I need them to be able to remote in and fix something from home. So they're spending on both fronts right now. >> Okay. Let's get into some of the vendor performance data. And I want to start with the cloud hyperscalers. It's something that we followed pretty closely. I got some Wiki bond data, that we just had earnings released. So here's data that shows the Q2 revenue shares on the left-hand side in the pie and the growth rates for the big four cloud players on the right hand side. It goes back to Q1 2019. Now the first thing I want to say is these players generated just under $39 billion in the quarter with AWS capturing 50% of that number. I said 39, it was 29 billion, sorry, with AWS capturing 50% of that in the quarter. As you're still tracking around a third in Alibaba and GCP in the, you know, eight or 9% range. But what's most interesting to me, Erik, is that AWS, which generated almost 15 billion in the quarter, was the only player to grow its revenue, both sequentially and year over year. And Erik, I think the street is missing the real story here on Amazon. Amazon announced earnings on Thursday night. The company had a 2% miss on the top line revenues and a meaningful 22% beat on earnings per share. So the retail side of the business missed its revenue targets, so that's why everybody's freaked out. But AWS, the cloud side, saw a 4% revenue beat. So the stock was off more than 70% after hours and into Friday. Now to me, a mix shift toward AWS, that's great news for investors. Now, tepid guidance is a negative, but the shift to a more profitable cloud business is a huge positive. >> Yeah, there's a lot that goes into stock price, right? I remember I was a director of research back in the day. One of my analysts said to me, "Am I crazy for putting a $1,000 target on Amazon?" And I laughed and I said, "No, you're crazy if you don't make it $2,000." (both chuckling) So, you know, at that time it was basically the mix shift towards AWS. You're a thousand percent right. I think the tough year over year comps had something to do with that reaction. That, you know, it's just getting really hard. What's that? The law of large numbers, right? It's really hard to grow at that percentage rate when you're getting this big. But from our data perspective, we're seeing no slowdown in AWS, in cloud, none whatsoever. The only slowdown we're seeing in cloud is GCP. But to, you know, to focus on AWS, extremely strong across the board and not only just in cloud, but in all their data products as well, data and analytics. >> Yeah and I think that the AWS, don't forget folks, that funds Amazon's TAM expansion into so many different places. Okay. As we said at the top, the world of digital and hybrid work, and multi-cloud, it's more complicated than it used to be. And that means if you need to resolve issues, which everybody does, like poor application performance, et cetera, what's happening at the user level, you have to have a better way to sort of see what's going on. And that's what the emergence of the observability space is all about. So Erik, let me set this up and you have a lot of comments here because you've recently had some, and you always have had a lot of round table discussions with CXOs on this topic. So this chart plots net score or spending momentum on the vertical axis, and market share or pervasiveness in the dataset on the horizontal axis. And we inserted a table that shows the data points in detail. Now that red dotted line is just sort of Dave Vellante's subjective mark in the sand for elevated spending levels. And there are three other points here. One is Splunk as well off is two-year peak, as highlighted in the red, but Signal FX, which Splunk acquired, has made a big move northward this last quarter. As has Datadog. So Erik, what can you share with us on this hot, but increasingly crowded space? >> Yeah. I could talk about the space for a long time. As you know, I've gotten some flack over the last year and a half about, you know, kind of pointing out this trend, this negative trend in Splunk. So I do want to be the first one to say that this data set is rebounding. Splunk has been horrific in our data for going back almost two years now, straight downward trend. This is the first time we're seeing any increase, any positivity there. So I do want to be fair and state that because I've been accused of being a little too negative on Splunk in the past. But I would basically say for observability right now, it's a rising tide lifts all boats, if I can use a New England phrase. The data across the board in analytics for these observability players is up, is accelerating. None more so than Datadog. And it's exactly your point, David. The complexity, the increased cloud migration is a perfect setup for Datadog, which is a cloud native. It focuses on microservices. It focuses on cloud observability. Old Splunk was just application monitoring. Don't get me wrong, they're changing, but they were on-prem application monitoring, first and foremost. Datadog came out as cloud native. They, you know, do microservices. This is just a perfect setup for them. And not only is Datadog leading the observability, it's leading the entire analytics sector, all of it. Not just the observability niche. So without a doubt, that is the strongest that we're seeing. It's leading Dynatrace new Relic. The only one that really isn't rebounding is Cisco App Dynamics. That's getting the dreaded legacy word really attached to it. But this space is really on fire, elastic as well, really doing well in this space. New Relic has shown a little bit of improvement as well. And what I heard when I asked my panelists about this, is that because of the maturity of cloud migration, that this observability has to grow. Spending on this has to happen. So they all say the chart looks right. And it's really just about the digital transformation maturity. So that's largely what they think is happening here. And they don't really see it getting, you know, changing anytime soon. >> Yeah, and I would add, and you see that it's getting crowded. You saw a service now acquired LightStep, and they want to get into the game. You mentioned, you know, last deck of the elk stack is, you know, the open source alternative, but then we see a company who's raised a fair amount of money, startup, chaos search, coming in, going after kind of the complexity of the elk stack. You've got honeycomb, which has got a really innovative approach, Jeremy Burton's company observes. So you have venture capital coming in. So we'll see if those guys could be disruptive enough or are they, you know, candidates to get acquired? We'll see how that all- you know that well. The M and A space. You think this space is ripe for M and A? >> I think it's ripe for consolidation, M and A. Something has to shake out. There's no doubt. I do believe that all of these can be standalone. So we shall see what's happened to, you mentioned the Splunk acquisition of Signal FX, just a house cleaning point. That was really nice acceleration by Signal FX, but it was only 20 citations. We'd looked into this a little bit deeper. Our data scientists did. It appears as if the majority of people are just signaling spunk and not FX separately. So moving forward for our data set, we're going to combine those two, so we don't have those anomalies going forward. But that type of acquisition does show what we should expect to see more of in this group going forward. >> Well that's I want to mention. That's one of the challenges that any data company has, and you guys do a great job of it. You're constantly having to reevaluate. There's so much M and A going on in the industry. You've got to pick the right spots in terms of when to consolidate. There's some big, you know, Dell and EMC, for example. You know, you've beautifully worked through that transition. You're seeing, you know, open shift and red hat with IBM. You just got to be flexible. And that's where it's valuable to be able to have a pipeline to guys like Erik, to sort of squint through that. So thank you for that clarification. >> Thank you too, because having a resource like you with industry knowledge really helps us navigate some of those as well for everyone out there. So that's a lot to do with you do Dave, >> Thank you. It's going to be interesting to watch Splunk. Doug Merritt's made some, you know, management changes, not the least of which is bringing in Teresa Carlson to run go to market. So if you know, I'd be interested if they are hitting, bouncing off the bottom and rising up again. They have a great customer base. Okay. Let's look at some of the same dimensions. Go ahead. You got a comment? >> A few of ETR's clients looked at our data and then put a billion dollar investment into it too. So obviously I agree. (Dave laughing) Splunk is looking like it's set for a rebound, and it's definitely something to watch, I agree. >> Not to rat hole in this, but I got to say. When I look back, cause theCUBE gives us kind of early visibility. So companies with momentum and you talk to the customers that all these shows that we go to. I will tell you that three companies stood out last decade. It was Splunk. It was Service Now and Tableau. And you could tell just from just discussions with their customers, the enthusiasm in that customer base. And so that's a real asset, and that helps them build them a moat. So we'll see. All right, let's take a look at the same dimensions now for cyber. This is cybersecurity net score in the vertical, and market share in the horizontal. And I filtered by in greater than a hundred shared in because just gets so crowded. Erik, the only things I would point out here is CrowdStrike and Zscaler continue to shine, CyberArk also showing momentum over that 40% line. Very impressively, Palo Alto networks, which has a big presence in the market. They've bounced back. We predicted that a while back. Your round table suggested people like working with Palo Alto. They're a gold standard. You know, we had reported earlier on that divergence with four to net in terms of valuation and some of the challenges they had in cloud, clearly, you know, back with the momentum. And of course, Microsoft in the upper, right. It's just, they're literally off the charts and obviously a major player here, but your thoughts on cyber? >> Erik: Yeah. Going back to the backdrop. Security, security, security. It has been the number one priority going back to last September. No one sees it changing. It has to happen. The threat vectors are actually expanding and we have no choice but to spend here. So it is not surprising to see. You did name our three favorite names. So as you know, we look at the dataset, we see which ones have the most positive inflections, and we put outlooks on those. And you did mention Zscaler, Okta and CrowdStrike, by far the three standouts that we're seeing. I just recently did a huge panel on Okta talking about their acquisition of Auth Zero. They're pushed into Sale Point space, trying to move just from single sign on and MFA to going to really privileged account management. There is some hurdles there. Really Okta's ability to do this on-prem is something that a little bit of the IT end users are concerned about. But what we're seeing right now, both Okta and Auth Zero are two of the main adopted names in security. They look incredibly well set up. Zscaler as well. With the ZTNA push more towards zero trust, Zscaler came out so hot in their IPO. And everyone was wondering if it was going to trail off just like Snowflake. It's not trailing off. This thing just keeps going up into the right, up into the right. The data supports a lot of tremendous growth for the three names that you just mentioned. >> Yeah. Yeah. I'm glad you brought up Auth Zero. We had reported on that earlier. I just feel like that was a great acquisition. You had Okta doing the belly to belly enterprise, you know, selling. And the one thing that they really lacked was that developer momentum. And that's what Auth Zero brings. Just a smart move by Todd McKinnon and company. And I mean, so this, you know, I want to, I want to pull up another chart show a quick snapshot of some of the players in the survey who show momentum and have you comment on this. We haven't mentioned Snowflake so far, but they remain again with like this gold standard of net score, they've consistently had those high marks with regard to spending velocity. But here's some other data. Erik, how should we interpret this? >> Erik: Yeah, just to harp on Snowflake for a second. Right, I mean the rich get richer. They came out- IPO was so hyped, so it was hard for us as a research company to say, "Oh, you know, well, you know, we agree." But we did. The data is incredible. You can't beat the management team. You can't beat what they're doing. They've got so much cash. I can't wait to see what they do with it. And meanwhile, you would expect something that debuted with that high of a net score, that high of spending velocity to trail off. It would be natural. It's not Dave, it's still accelerating. It's gone even higher. It's at all time highs. And we just don't see it stopping anytime soon. It's a really interesting space right now. Maybe another name to look at on here that I think is pretty interesting, kind of a play on return to business is Kupa. It's a great project expense management tool that got hit really hard. Listen, traveling stopped, business expense stopped, and I did a panel on it. And a lot of our guys basically said, "Yeah, it was the first thing I cut." But we're seeing a huge rebound in spending there in that space. So that's a name that I think might be worth being called out on a positive side. Negative, If you look down to the bottom right of that chart, unfortunately we're seeing some issues in RingCentral and Zoom. Anything that's sort of playing in this next, you know, video conferencing, IP telephony space, they seem to be having really decelerating spending. Also now with Zoom's acquisition of five nine. I'm not really sure how RingCentral's going to compete on that. But yeah, that's one where we debuted for the first time with a negative outlook on that name. And looking and asking to some of the people in our community, a lot of them say externally, you still need IP telepany, but internally you don't. Because the You Cast communication systems are getting so sophisticated, that if I have Teams, if I have Slack, I don't need phones anymore. (chuckling) That you and I can just do a Slack call. We can do a Teams call. And many of them are saying I'm truly ripping out my IP Telepany internally as soon as possible because we just don't need it. So this whole collaboration, productivity space is here to stay. And it's got wide ranging implications to some of these more legacy type of tools. >> You know, one of the other things I'd call out on this chart is Accenture. You and I had a session earlier this year, and we had predicted that that skill shortage was going to lead to an uptick in traditional services. We've certainly seen that. I mean, IBM beat its quarter on the strength of services largely. And seeing Accenture on that is I think confirmation. >> Yeah that was our New Year prediction show, right Dave? When we made top 10 predictions? >> That's right. That was part of our predictions show. Exactly, good memory. >> The data is really showing that continue. People want the projects, they need to do the projects, but hiring is very difficult. So obviously the number one beneficiary there are going to be the Accentures of the world. >> All right. So let's do a quick wrap. I'm going to make a few comments and then have you bring us home, Erik. So we laid out our scenario for the tech spending rebound. We definitely believe last year tracked downward, along with GDP contraction. It was interesting. Gardner doesn't believe, at least factions of Gardner don't believe there's a correlation between GDP and tech spending. But, you know, I personally think there generally is some kind of relatively proportional pattern there. And I think we saw contraction last year. People are concerned about inflation. Of course, that adds some uncertainty. And as well, as you mentioned around the Delta variant. But I feel as though that the boards of directors and CEOs, they've mandated that tech execs have to build out digital platforms for the future. They're data centric. They're highly automated, to your earlier points. They're intelligent with AI infused, and that's going to take investment. I feel like the tech community has said, "Look, we know what to do here. We're dealing with hybrid work. We can't just stop doing what we're doing. Let's move forward." You know, and as you say, we're flying again and so forth. You know, getting hybrid right is a major priority that directly impacts strategies. Technology strategies, particularly around security, cloud, the productivity of remote workers with collaboration. And as we've said many times, we are entering a new era of data that's going to focus on decentralized data, building data products, and Erik let's keep an eye on this observability space. Lot of interest there, and buyers have a number of choices. You know, do they go with a specialist, as we saw recently, we've seen in the past, or did they go with the generalist like Service Now with the acquisition of LightStep? You know, it's going to be interesting. A lot of people are going to get into this space, start bundling into larger platforms. And so as you said, there's probably not enough room for all the players. We're going to see some consolidation there. But anyway, let me give you the final word here. >> Yeah, no, I completely agree with all of it. And I think your earlier points are spot on, that analytics and automation are certainly going to be moving more and more to that left of that chart we had of priorities. I think as we continue that survey heading into 2022, we'll have some fresh data for you again in a few months, that's going to start looking at 2022 priorities and overall spend. And the one other area that I keep hearing about over and over and over again is customer experience. There's a transition from good old CRM to CXM. Right now, everything is digital. It is not going away. So you need an omni-channel support to not only track your customer experience, but improve it. Make sure there's a two way communication. And it's a really interesting space. Salesforce is going to migrate into it. We've got Qualtrics out there. You've got Medallia. You've got FreshWorks, you've got Sprinkler. You got some names out there. And everyone I keep talking to on the IT end user side keeps bringing up customer experience. So let's keep an eye on that as well. >> That's a great point. And again, it brings me back to Service Now. We wrote a piece last week that's sort of, Service Now and Salesforce are on a collision course. We've said that for many, many years. And you've got this platform of platforms. They're just kind of sucking in different functions saying, "Hey, we're friends with everybody." But as you know Erik, software companies, they want to own it all. (both chuckling) All right. Hey Erik, thank you so much. I want to thank you for coming back on. It's always a pleasure to have you on Breaking Analysis. Great to see you. >> Love the partnership. Love the collaboration. Let's go enjoy this summer Friday. >> All right. Let's do. Okay, remember everybody, these episodes, they're all available as podcasts, wherever you listen. All you got to do is search Breaking Analysis Podcast, click subscribe to the series. Check out ETR's website at etr.plus. They've just launched a new website. They've got a whole new pricing model. It's great to see that innovation going on. Now remember we also publish a full report every week on WikiBond.com and SiliconAngle.com. You can always email me, appreciate the back channel comments, the metadata insights. David.Vellante@SiliconAngle.com. DM me on Twitter @DVellante or comment on the LinkedIn posts. This is Dave Vellante for Erik Bradley and theCUBE insights powered by ETR. Have a great week, a good rest of summer, be well. And we'll see you next time. (inspiring music)

Published Date : Aug 2 2021

SUMMARY :

bringing you data-driven And at the macro level, We've got some fresh data to talk about and based on the recent earnings results So as the year has So Erik, I'm going to let back half of the year. and the other sectors that you see there. and a little bit more on the and Erik, the rest of the metrics Another point to you about and the CIO's expect that to land on returned to the office. on the hybrid models, I need the support staff to be in office. but the shift to a more One of my analysts said to me, And that means if you is that because of the last deck of the elk stack It appears as if the majority of people going on in the industry. So that's a lot to do with you do Dave, It's going to be something to watch, I agree. and some of the challenges that a little bit of the IT And I mean, so this, you know, I want to, Erik: Yeah, just to harp You know, one of the That was part of our predictions So obviously the number and that's going to take investment. And the one other area I want to thank you for coming back on. Love the partnership. It's great to see that

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