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Breaking Analysis: ChatGPT Won't Give OpenAI First Mover Advantage


 

>> From theCUBE Studios in Palo Alto in Boston, bringing you data-driven insights from theCUBE and ETR. This is Breaking Analysis with Dave Vellante. >> OpenAI The company, and ChatGPT have taken the world by storm. Microsoft reportedly is investing an additional 10 billion dollars into the company. But in our view, while the hype around ChatGPT is justified, we don't believe OpenAI will lock up the market with its first mover advantage. Rather, we believe that success in this market will be directly proportional to the quality and quantity of data that a technology company has at its disposal, and the compute power that it could deploy to run its system. Hello and welcome to this week's Wikibon CUBE insights, powered by ETR. In this Breaking Analysis, we unpack the excitement around ChatGPT, and debate the premise that the company's early entry into the space may not confer winner take all advantage to OpenAI. And to do so, we welcome CUBE collaborator, alum, Sarbjeet Johal, (chuckles) and John Furrier, co-host of the Cube. Great to see you Sarbjeet, John. Really appreciate you guys coming to the program. >> Great to be on. >> Okay, so what is ChatGPT? Well, actually we asked ChatGPT, what is ChatGPT? So here's what it said. ChatGPT is a state-of-the-art language model developed by OpenAI that can generate human-like text. It could be fine tuned for a variety of language tasks, such as conversation, summarization, and language translation. So I asked it, give it to me in 50 words or less. How did it do? Anything to add? >> Yeah, think it did good. It's large language model, like previous models, but it started applying the transformers sort of mechanism to focus on what prompt you have given it to itself. And then also the what answer it gave you in the first, sort of, one sentence or two sentences, and then introspect on itself, like what I have already said to you. And so just work on that. So it it's self sort of focus if you will. It does, the transformers help the large language models to do that. >> So to your point, it's a large language model, and GPT stands for generative pre-trained transformer. >> And if you put the definition back up there again, if you put it back up on the screen, let's see it back up. Okay, it actually missed the large, word large. So one of the problems with ChatGPT, it's not always accurate. It's actually a large language model, and it says state of the art language model. And if you look at Google, Google has dominated AI for many times and they're well known as being the best at this. And apparently Google has their own large language model, LLM, in play and have been holding it back to release because of backlash on the accuracy. Like just in that example you showed is a great point. They got almost right, but they missed the key word. >> You know what's funny about that John, is I had previously asked it in my prompt to give me it in less than a hundred words, and it was too long, I said I was too long for Breaking Analysis, and there it went into the fact that it's a large language model. So it largely, it gave me a really different answer the, for both times. So, but it's still pretty amazing for those of you who haven't played with it yet. And one of the best examples that I saw was Ben Charrington from This Week In ML AI podcast. And I stumbled on this thanks to Brian Gracely, who was listening to one of his Cloudcasts. Basically what Ben did is he took, he prompted ChatGPT to interview ChatGPT, and he simply gave the system the prompts, and then he ran the questions and answers into this avatar builder and sped it up 2X so it didn't sound like a machine. And voila, it was amazing. So John is ChatGPT going to take over as a cube host? >> Well, I was thinking, we get the questions in advance sometimes from PR people. We should actually just plug it in ChatGPT, add it to our notes, and saying, "Is this good enough for you? Let's ask the real question." So I think, you know, I think there's a lot of heavy lifting that gets done. I think the ChatGPT is a phenomenal revolution. I think it highlights the use case. Like that example we showed earlier. It gets most of it right. So it's directionally correct and it feels like it's an answer, but it's not a hundred percent accurate. And I think that's where people are seeing value in it. Writing marketing, copy, brainstorming, guest list, gift list for somebody. Write me some lyrics to a song. Give me a thesis about healthcare policy in the United States. It'll do a bang up job, and then you got to go in and you can massage it. So we're going to do three quarters of the work. That's why plagiarism and schools are kind of freaking out. And that's why Microsoft put 10 billion in, because why wouldn't this be a feature of Word, or the OS to help it do stuff on behalf of the user. So linguistically it's a beautiful thing. You can input a string and get a good answer. It's not a search result. >> And we're going to get your take on on Microsoft and, but it kind of levels the playing- but ChatGPT writes better than I do, Sarbjeet, and I know you have some good examples too. You mentioned the Reed Hastings example. >> Yeah, I was listening to Reed Hastings fireside chat with ChatGPT, and the answers were coming as sort of voice, in the voice format. And it was amazing what, he was having very sort of philosophy kind of talk with the ChatGPT, the longer sentences, like he was going on, like, just like we are talking, he was talking for like almost two minutes and then ChatGPT was answering. It was not one sentence question, and then a lot of answers from ChatGPT and yeah, you're right. I, this is our ability. I've been thinking deep about this since yesterday, we talked about, like, we want to do this segment. The data is fed into the data model. It can be the current data as well, but I think that, like, models like ChatGPT, other companies will have those too. They can, they're democratizing the intelligence, but they're not creating intelligence yet, definitely yet I can say that. They will give you all the finite answers. Like, okay, how do you do this for loop in Java, versus, you know, C sharp, and as a programmer you can do that, in, but they can't tell you that, how to write a new algorithm or write a new search algorithm for you. They cannot create a secretive code for you to- >> Not yet. >> Have competitive advantage. >> Not yet, not yet. >> but you- >> Can Google do that today? >> No one really can. The reasoning side of the data is, we talked about at our Supercloud event, with Zhamak Dehghani who's was CEO of, now of Nextdata. This next wave of data intelligence is going to come from entrepreneurs that are probably cross discipline, computer science and some other discipline. But they're going to be new things, for example, data, metadata, and data. It's hard to do reasoning like a human being, so that needs more data to train itself. So I think the first gen of this training module for the large language model they have is a corpus of text. Lot of that's why blog posts are, but the facts are wrong and sometimes out of context, because that contextual reasoning takes time, it takes intelligence. So machines need to become intelligent, and so therefore they need to be trained. So you're going to start to see, I think, a lot of acceleration on training the data sets. And again, it's only as good as the data you can get. And again, proprietary data sets will be a huge winner. Anyone who's got a large corpus of content, proprietary content like theCUBE or SiliconANGLE as a publisher will benefit from this. Large FinTech companies, anyone with large proprietary data will probably be a big winner on this generative AI wave, because it just, it will eat that up, and turn that back into something better. So I think there's going to be a lot of interesting things to look at here. And certainly productivity's going to be off the charts for vanilla and the internet is going to get swarmed with vanilla content. So if you're in the content business, and you're an original content producer of any kind, you're going to be not vanilla, so you're going to be better. So I think there's so much at play Dave (indistinct). >> I think the playing field has been risen, so we- >> Risen and leveled? >> Yeah, and leveled to certain extent. So it's now like that few people as consumers, as consumers of AI, we will have a advantage and others cannot have that advantage. So it will be democratized. That's, I'm sure about that. But if you take the example of calculator, when the calculator came in, and a lot of people are, "Oh, people can't do math anymore because calculator is there." right? So it's a similar sort of moment, just like a calculator for the next level. But, again- >> I see it more like open source, Sarbjeet, because like if you think about what ChatGPT's doing, you do a query and it comes from somewhere the value of a post from ChatGPT is just a reuse of AI. The original content accent will be come from a human. So if I lay out a paragraph from ChatGPT, did some heavy lifting on some facts, I check the facts, save me about maybe- >> Yeah, it's productive. >> An hour writing, and then I write a killer two, three sentences of, like, sharp original thinking or critical analysis. I then took that body of work, open source content, and then laid something on top of it. >> And Sarbjeet's example is a good one, because like if the calculator kids don't do math as well anymore, the slide rule, remember we had slide rules as kids, remember we first started using Waze, you know, we were this minority and you had an advantage over other drivers. Now Waze is like, you know, social traffic, you know, navigation, everybody had, you know- >> All the back roads are crowded. >> They're car crowded. (group laughs) Exactly. All right, let's, let's move on. What about this notion that futurist Ray Amara put forth and really Amara's Law that we're showing here, it's, the law is we, you know, "We tend to overestimate the effect of technology in the short run and underestimate it in the long run." Is that the case, do you think, with ChatGPT? What do you think Sarbjeet? >> I think that's true actually. There's a lot of, >> We don't debate this. >> There's a lot of awe, like when people see the results from ChatGPT, they say what, what the heck? Like, it can do this? But then if you use it more and more and more, and I ask the set of similar question, not the same question, and it gives you like same answer. It's like reading from the same bucket of text in, the interior read (indistinct) where the ChatGPT, you will see that in some couple of segments. It's very, it sounds so boring that the ChatGPT is coming out the same two sentences every time. So it is kind of good, but it's not as good as people think it is right now. But we will have, go through this, you know, hype sort of cycle and get realistic with it. And then in the long term, I think it's a great thing in the short term, it's not something which will (indistinct) >> What's your counter point? You're saying it's not. >> I, no I think the question was, it's hyped up in the short term and not it's underestimated long term. That's what I think what he said, quote. >> Yes, yeah. That's what he said. >> Okay, I think that's wrong with this, because this is a unique, ChatGPT is a unique kind of impact and it's very generational. People have been comparing it, I have been comparing to the internet, like the web, web browser Mosaic and Netscape, right, Navigator. I mean, I clearly still remember the days seeing Navigator for the first time, wow. And there weren't not many sites you could go to, everyone typed in, you know, cars.com, you know. >> That (indistinct) wasn't that overestimated, the overhyped at the beginning and underestimated. >> No, it was, it was underestimated long run, people thought. >> But that Amara's law. >> That's what is. >> No, they said overestimated? >> Overestimated near term underestimated- overhyped near term, underestimated long term. I got, right I mean? >> Well, I, yeah okay, so I would then agree, okay then- >> We were off the charts about the internet in the early days, and it actually exceeded our expectations. >> Well there were people who were, like, poo-pooing it early on. So when the browser came out, people were like, "Oh, the web's a toy for kids." I mean, in 1995 the web was a joke, right? So '96, you had online populations growing, so you had structural changes going on around the browser, internet population. And then that replaced other things, direct mail, other business activities that were once analog then went to the web, kind of read only as you, as we always talk about. So I think that's a moment where the hype long term, the smart money, and the smart industry experts all get the long term. And in this case, there's more poo-pooing in the short term. "Ah, it's not a big deal, it's just AI." I've heard many people poo-pooing ChatGPT, and a lot of smart people saying, "No this is next gen, this is different and it's only going to get better." So I think people are estimating a big long game on this one. >> So you're saying it's bifurcated. There's those who say- >> Yes. >> Okay, all right, let's get to the heart of the premise, and possibly the debate for today's episode. Will OpenAI's early entry into the market confer sustainable competitive advantage for the company. And if you look at the history of tech, the technology industry, it's kind of littered with first mover failures. Altair, IBM, Tandy, Commodore, they and Apple even, they were really early in the PC game. They took a backseat to Dell who came in the scene years later with a better business model. Netscape, you were just talking about, was all the rage in Silicon Valley, with the first browser, drove up all the housing prices out here. AltaVista was the first search engine to really, you know, index full text. >> Owned by Dell, I mean DEC. >> Owned by Digital. >> Yeah, Digital Equipment >> Compaq bought it. And of course as an aside, Digital, they wanted to showcase their hardware, right? Their super computer stuff. And then so Friendster and MySpace, they came before Facebook. The iPhone certainly wasn't the first mobile device. So lots of failed examples, but there are some recent successes like AWS and cloud. >> You could say smartphone. So I mean. >> Well I know, and you can, we can parse this so we'll debate it. Now Twitter, you could argue, had first mover advantage. You kind of gave me that one John. Bitcoin and crypto clearly had first mover advantage, and sustaining that. Guys, will OpenAI make it to the list on the right with ChatGPT, what do you think? >> I think categorically as a company, it probably won't, but as a category, I think what they're doing will, so OpenAI as a company, they get funding, there's power dynamics involved. Microsoft put a billion dollars in early on, then they just pony it up. Now they're reporting 10 billion more. So, like, if the browsers, Microsoft had competitive advantage over Netscape, and used monopoly power, and convicted by the Department of Justice for killing Netscape with their monopoly, Netscape should have had won that battle, but Microsoft killed it. In this case, Microsoft's not killing it, they're buying into it. So I think the embrace extend Microsoft power here makes OpenAI vulnerable for that one vendor solution. So the AI as a company might not make the list, but the category of what this is, large language model AI, is probably will be on the right hand side. >> Okay, we're going to come back to the government intervention and maybe do some comparisons, but what are your thoughts on this premise here? That, it will basically set- put forth the premise that it, that ChatGPT, its early entry into the market will not confer competitive advantage to >> For OpenAI. >> To Open- Yeah, do you agree with that? >> I agree with that actually. It, because Google has been at it, and they have been holding back, as John said because of the scrutiny from the Fed, right, so- >> And privacy too. >> And the privacy and the accuracy as well. But I think Sam Altman and the company on those guys, right? They have put this in a hasty way out there, you know, because it makes mistakes, and there are a lot of questions around the, sort of, where the content is coming from. You saw that as your example, it just stole the content, and without your permission, you know? >> Yeah. So as quick this aside- >> And it codes on people's behalf and the, those codes are wrong. So there's a lot of, sort of, false information it's putting out there. So it's a very vulnerable thing to do what Sam Altman- >> So even though it'll get better, others will compete. >> So look, just side note, a term which Reid Hoffman used a little bit. Like he said, it's experimental launch, like, you know, it's- >> It's pretty damn good. >> It is clever because according to Sam- >> It's more than clever. It's good. >> It's awesome, if you haven't used it. I mean you write- you read what it writes and you go, "This thing writes so well, it writes so much better than you." >> The human emotion drives that too. I think that's a big thing. But- >> I Want to add one more- >> Make your last point. >> Last one. Okay. So, but he's still holding back. He's conducting quite a few interviews. If you want to get the gist of it, there's an interview with StrictlyVC interview from yesterday with Sam Altman. Listen to that one it's an eye opening what they want- where they want to take it. But my last one I want to make it on this point is that Satya Nadella yesterday did an interview with Wall Street Journal. I think he was doing- >> You were not impressed. >> I was not impressed because he was pushing it too much. So Sam Altman's holding back so there's less backlash. >> Got 10 billion reasons to push. >> I think he's almost- >> Microsoft just laid off 10000 people. Hey ChatGPT, find me a job. You know like. (group laughs) >> He's overselling it to an extent that I think it will backfire on Microsoft. And he's over promising a lot of stuff right now, I think. I don't know why he's very jittery about all these things. And he did the same thing during Ignite as well. So he said, "Oh, this AI will write code for you and this and that." Like you called him out- >> The hyperbole- >> During your- >> from Satya Nadella, he's got a lot of hyperbole. (group talks over each other) >> All right, Let's, go ahead. >> Well, can I weigh in on the whole- >> Yeah, sure. >> Microsoft thing on whether OpenAI, here's the take on this. I think it's more like the browser moment to me, because I could relate to that experience with ChatG, personally, emotionally, when I saw that, and I remember vividly- >> You mean that aha moment (indistinct). >> Like this is obviously the future. Anything else in the old world is dead, website's going to be everywhere. It was just instant dot connection for me. And a lot of other smart people who saw this. Lot of people by the way, didn't see it. Someone said the web's a toy. At the company I was worked for at the time, Hewlett Packard, they like, they could have been in, they had invented HTML, and so like all this stuff was, like, they just passed, the web was just being passed over. But at that time, the browser got better, more websites came on board. So the structural advantage there was online web usage was growing, online user population. So that was growing exponentially with the rise of the Netscape browser. So OpenAI could stay on the right side of your list as durable, if they leverage the category that they're creating, can get the scale. And if they can get the scale, just like Twitter, that failed so many times that they still hung around. So it was a product that was always successful, right? So I mean, it should have- >> You're right, it was terrible, we kept coming back. >> The fail whale, but it still grew. So OpenAI has that moment. They could do it if Microsoft doesn't meddle too much with too much power as a vendor. They could be the Netscape Navigator, without the anti-competitive behavior of somebody else. So to me, they have the pole position. So they have an opportunity. So if not, if they don't execute, then there's opportunity. There's not a lot of barriers to entry, vis-a-vis say the CapEx of say a cloud company like AWS. You can't replicate that, Many have tried, but I think you can replicate OpenAI. >> And we're going to talk about that. Okay, so real quick, I want to bring in some ETR data. This isn't an ETR heavy segment, only because this so new, you know, they haven't coverage yet, but they do cover AI. So basically what we're seeing here is a slide on the vertical axis's net score, which is a measure of spending momentum, and in the horizontal axis's is presence in the dataset. Think of it as, like, market presence. And in the insert right there, you can see how the dots are plotted, the two columns. And so, but the key point here that we want to make, there's a bunch of companies on the left, is he like, you know, DataRobot and C3 AI and some others, but the big whales, Google, AWS, Microsoft, are really dominant in this market. So that's really the key takeaway that, can we- >> I notice IBM is way low. >> Yeah, IBM's low, and actually bring that back up and you, but then you see Oracle who actually is injecting. So I guess that's the other point is, you're not necessarily going to go buy AI, and you know, build your own AI, you're going to, it's going to be there and, it, Salesforce is going to embed it into its platform, the SaaS companies, and you're going to purchase AI. You're not necessarily going to build it. But some companies obviously are. >> I mean to quote IBM's general manager Rob Thomas, "You can't have AI with IA." information architecture and David Flynn- >> You can't Have AI without IA >> without, you can't have AI without IA. You can't have, if you have an Information Architecture, you then can power AI. Yesterday David Flynn, with Hammersmith, was on our Supercloud. He was pointing out that the relationship of storage, where you store things, also impacts the data and stressablity, and Zhamak from Nextdata, she was pointing out that same thing. So the data problem factors into all this too, Dave. >> So you got the big cloud and internet giants, they're all poised to go after this opportunity. Microsoft is investing up to 10 billion. Google's code red, which was, you know, the headline in the New York Times. Of course Apple is there and several alternatives in the market today. Guys like Chinchilla, Bloom, and there's a company Jasper and several others, and then Lena Khan looms large and the government's around the world, EU, US, China, all taking notice before the market really is coalesced around a single player. You know, John, you mentioned Netscape, they kind of really, the US government was way late to that game. It was kind of game over. And Netscape, I remember Barksdale was like, "Eh, we're going to be selling software in the enterprise anyway." and then, pshew, the company just dissipated. So, but it looks like the US government, especially with Lena Khan, they're changing the definition of antitrust and what the cause is to go after people, and they're really much more aggressive. It's only what, two years ago that (indistinct). >> Yeah, the problem I have with the federal oversight is this, they're always like late to the game, and they're slow to catch up. So in other words, they're working on stuff that should have been solved a year and a half, two years ago around some of the social networks hiding behind some of the rules around open web back in the days, and I think- >> But they're like 15 years late to that. >> Yeah, and now they got this new thing on top of it. So like, I just worry about them getting their fingers. >> But there's only two years, you know, OpenAI. >> No, but the thing (indistinct). >> No, they're still fighting other battles. But the problem with government is that they're going to label Big Tech as like a evil thing like Pharma, it's like smoke- >> You know Lena Khan wants to kill Big Tech, there's no question. >> So I think Big Tech is getting a very seriously bad rap. And I think anything that the government does that shades darkness on tech, is politically motivated in most cases. You can almost look at everything, and my 80 20 rule is in play here. 80% of the government activity around tech is bullshit, it's politically motivated, and the 20% is probably relevant, but off the mark and not organized. >> Well market forces have always been the determining factor of success. The governments, you know, have been pretty much failed. I mean you look at IBM's antitrust, that, what did that do? The market ultimately beat them. You look at Microsoft back in the day, right? Windows 95 was peaking, the government came in. But you know, like you said, they missed the web, right, and >> so they were hanging on- >> There's nobody in government >> to Windows. >> that actually knows- >> And so, you, I think you're right. It's market forces that are going to determine this. But Sarbjeet, what do you make of Microsoft's big bet here, you weren't impressed with with Nadella. How do you think, where are they going to apply it? Is this going to be a Hail Mary for Bing, or is it going to be applied elsewhere? What do you think. >> They are saying that they will, sort of, weave this into their products, office products, productivity and also to write code as well, developer productivity as well. That's a big play for them. But coming back to your antitrust sort of comments, right? I believe the, your comment was like, oh, fed was late 10 years or 15 years earlier, but now they're two years. But things are moving very fast now as compared to they used to move. >> So two years is like 10 Years. >> Yeah, two years is like 10 years. Just want to make that point. (Dave laughs) This thing is going like wildfire. Any new tech which comes in that I think they're going against distribution channels. Lina Khan has commented time and again that the marketplace model is that she wants to have some grip on. Cloud marketplaces are a kind of monopolistic kind of way. >> I don't, I don't see this, I don't see a Chat AI. >> You told me it's not Bing, you had an interesting comment. >> No, no. First of all, this is great from Microsoft. If you're Microsoft- >> Why? >> Because Microsoft doesn't have the AI chops that Google has, right? Google is got so much core competency on how they run their search, how they run their backends, their cloud, even though they don't get a lot of cloud market share in the enterprise, they got a kick ass cloud cause they needed one. >> Totally. >> They've invented SRE. I mean Google's development and engineering chops are off the scales, right? Amazon's got some good chops, but Google's got like 10 times more chops than AWS in my opinion. Cloud's a whole different story. Microsoft gets AI, they get a playbook, they get a product they can render into, the not only Bing, productivity software, helping people write papers, PowerPoint, also don't forget the cloud AI can super help. We had this conversation on our Supercloud event, where AI's going to do a lot of the heavy lifting around understanding observability and managing service meshes, to managing microservices, to turning on and off applications, and or maybe writing code in real time. So there's a plethora of use cases for Microsoft to deploy this. combined with their R and D budgets, they can then turbocharge more research, build on it. So I think this gives them a car in the game, Google may have pole position with AI, but this puts Microsoft right in the game, and they already have a lot of stuff going on. But this just, I mean everything gets lifted up. Security, cloud, productivity suite, everything. >> What's under the hood at Google, and why aren't they talking about it? I mean they got to be freaked out about this. No? Or do they have kind of a magic bullet? >> I think they have the, they have the chops definitely. Magic bullet, I don't know where they are, as compared to the ChatGPT 3 or 4 models. Like they, but if you look at the online sort of activity and the videos put out there from Google folks, Google technology folks, that's account you should look at if you are looking there, they have put all these distinctions what ChatGPT 3 has used, they have been talking about for a while as well. So it's not like it's a secret thing that you cannot replicate. As you said earlier, like in the beginning of this segment, that anybody who has more data and the capacity to process that data, which Google has both, I think they will win this. >> Obviously living in Palo Alto where the Google founders are, and Google's headquarters next town over we have- >> We're so close to them. We have inside information on some of the thinking and that hasn't been reported by any outlet yet. And that is, is that, from what I'm hearing from my sources, is Google has it, they don't want to release it for many reasons. One is it might screw up their search monopoly, one, two, they're worried about the accuracy, 'cause Google will get sued. 'Cause a lot of people are jamming on this ChatGPT as, "Oh it does everything for me." when it's clearly not a hundred percent accurate all the time. >> So Lina Kahn is looming, and so Google's like be careful. >> Yeah so Google's just like, this is the third, could be a third rail. >> But the first thing you said is a concern. >> Well no. >> The disruptive (indistinct) >> What they will do is do a Waymo kind of thing, where they spin out a separate company. >> They're doing that. >> The discussions happening, they're going to spin out the separate company and put it over there, and saying, "This is AI, got search over there, don't touch that search, 'cause that's where all the revenue is." (chuckles) >> So, okay, so that's how they deal with the Clay Christensen dilemma. What's the business model here? I mean it's not advertising, right? Is it to charge you for a query? What, how do you make money at this? >> It's a good question, I mean my thinking is, first of all, it's cool to type stuff in and see a paper get written, or write a blog post, or gimme a marketing slogan for this or that or write some code. I think the API side of the business will be critical. And I think Howie Xu, I know you're going to reference some of his comments yesterday on Supercloud, I think this brings a whole 'nother user interface into technology consumption. I think the business model, not yet clear, but it will probably be some sort of either API and developer environment or just a straight up free consumer product, with some sort of freemium backend thing for business. >> And he was saying too, it's natural language is the way in which you're going to interact with these systems. >> I think it's APIs, it's APIs, APIs, APIs, because these people who are cooking up these models, and it takes a lot of compute power to train these and to, for inference as well. Somebody did the analysis on the how many cents a Google search costs to Google, and how many cents the ChatGPT query costs. It's, you know, 100x or something on that. You can take a look at that. >> A 100x on which side? >> You're saying two orders of magnitude more expensive for ChatGPT >> Much more, yeah. >> Than for Google. >> It's very expensive. >> So Google's got the data, they got the infrastructure and they got, you're saying they got the cost (indistinct) >> No actually it's a simple query as well, but they are trying to put together the answers, and they're going through a lot more data versus index data already, you know. >> Let me clarify, you're saying that Google's version of ChatGPT is more efficient? >> No, I'm, I'm saying Google search results. >> Ah, search results. >> What are used to today, but cheaper. >> But that, does that, is that going to confer advantage to Google's large language (indistinct)? >> It will, because there were deep science (indistinct). >> Google, I don't think Google search is doing a large language model on their search, it's keyword search. You know, what's the weather in Santa Cruz? Or how, what's the weather going to be? Or you know, how do I find this? Now they have done a smart job of doing some things with those queries, auto complete, re direct navigation. But it's, it's not entity. It's not like, "Hey, what's Dave Vellante thinking this week in Breaking Analysis?" ChatGPT might get that, because it'll get your Breaking Analysis, it'll synthesize it. There'll be some, maybe some clips. It'll be like, you know, I mean. >> Well I got to tell you, I asked ChatGPT to, like, I said, I'm going to enter a transcript of a discussion I had with Nir Zuk, the CTO of Palo Alto Networks, And I want you to write a 750 word blog. I never input the transcript. It wrote a 750 word blog. It attributed quotes to him, and it just pulled a bunch of stuff that, and said, okay, here it is. It talked about Supercloud, it defined Supercloud. >> It's made, it makes you- >> Wow, But it was a big lie. It was fraudulent, but still, blew me away. >> Again, vanilla content and non accurate content. So we are going to see a surge of misinformation on steroids, but I call it the vanilla content. Wow, that's just so boring, (indistinct). >> There's so many dangers. >> Make your point, cause we got to, almost out of time. >> Okay, so the consumption, like how do you consume this thing. As humans, we are consuming it and we are, like, getting a nicely, like, surprisingly shocked, you know, wow, that's cool. It's going to increase productivity and all that stuff, right? And on the danger side as well, the bad actors can take hold of it and create fake content and we have the fake sort of intelligence, if you go out there. So that's one thing. The second thing is, we are as humans are consuming this as language. Like we read that, we listen to it, whatever format we consume that is, but the ultimate usage of that will be when the machines can take that output from likes of ChatGPT, and do actions based on that. The robots can work, the robot can paint your house, we were talking about, right? Right now we can't do that. >> Data apps. >> So the data has to be ingested by the machines. It has to be digestible by the machines. And the machines cannot digest unorganized data right now, we will get better on the ingestion side as well. So we are getting better. >> Data, reasoning, insights, and action. >> I like that mall, paint my house. >> So, okay- >> By the way, that means drones that'll come in. Spray painting your house. >> Hey, it wasn't too long ago that robots couldn't climb stairs, as I like to point out. Okay, and of course it's no surprise the venture capitalists are lining up to eat at the trough, as I'd like to say. Let's hear, you'd referenced this earlier, John, let's hear what AI expert Howie Xu said at the Supercloud event, about what it takes to clone ChatGPT. Please, play the clip. >> So one of the VCs actually asked me the other day, right? "Hey, how much money do I need to spend, invest to get a, you know, another shot to the openAI sort of the level." You know, I did a (indistinct) >> Line up. >> A hundred million dollar is the order of magnitude that I came up with, right? You know, not a billion, not 10 million, right? So a hundred- >> Guys a hundred million dollars, that's an astoundingly low figure. What do you make of it? >> I was in an interview with, I was interviewing, I think he said hundred million or so, but in the hundreds of millions, not a billion right? >> You were trying to get him up, you were like "Hundreds of millions." >> Well I think, I- >> He's like, eh, not 10, not a billion. >> Well first of all, Howie Xu's an expert machine learning. He's at Zscaler, he's a machine learning AI guy. But he comes from VMware, he's got his technology pedigrees really off the chart. Great friend of theCUBE and kind of like a CUBE analyst for us. And he's smart. He's right. I think the barriers to entry from a dollar standpoint are lower than say the CapEx required to compete with AWS. Clearly, the CapEx spending to build all the tech for the run a cloud. >> And you don't need a huge sales force. >> And in some case apps too, it's the same thing. But I think it's not that hard. >> But am I right about that? You don't need a huge sales force either. It's, what, you know >> If the product's good, it will sell, this is a new era. The better mouse trap will win. This is the new economics in software, right? So- >> Because you look at the amount of money Lacework, and Snyk, Snowflake, Databrooks. Look at the amount of money they've raised. I mean it's like a billion dollars before they get to IPO or more. 'Cause they need promotion, they need go to market. You don't need (indistinct) >> OpenAI's been working on this for multiple five years plus it's, hasn't, wasn't born yesterday. Took a lot of years to get going. And Sam is depositioning all the success, because he's trying to manage expectations, To your point Sarbjeet, earlier. It's like, yeah, he's trying to "Whoa, whoa, settle down everybody, (Dave laughs) it's not that great." because he doesn't want to fall into that, you know, hero and then get taken down, so. >> It may take a 100 million or 150 or 200 million to train the model. But to, for the inference to, yeah to for the inference machine, It will take a lot more, I believe. >> Give it, so imagine, >> Because- >> Go ahead, sorry. >> Go ahead. But because it consumes a lot more compute cycles and it's certain level of storage and everything, right, which they already have. So I think to compute is different. To frame the model is a different cost. But to run the business is different, because I think 100 million can go into just fighting the Fed. >> Well there's a flywheel too. >> Oh that's (indistinct) >> (indistinct) >> We are running the business, right? >> It's an interesting number, but it's also kind of, like, context to it. So here, a hundred million spend it, you get there, but you got to factor in the fact that the ways companies win these days is critical mass scale, hitting a flywheel. If they can keep that flywheel of the value that they got going on and get better, you can almost imagine a marketplace where, hey, we have proprietary data, we're SiliconANGLE in theCUBE. We have proprietary content, CUBE videos, transcripts. Well wouldn't it be great if someone in a marketplace could sell a module for us, right? We buy that, Amazon's thing and things like that. So if they can get a marketplace going where you can apply to data sets that may be proprietary, you can start to see this become bigger. And so I think the key barriers to entry is going to be success. I'll give you an example, Reddit. Reddit is successful and it's hard to copy, not because of the software. >> They built the moat. >> Because you can, buy Reddit open source software and try To compete. >> They built the moat with their community. >> Their community, their scale, their user expectation. Twitter, we referenced earlier, that thing should have gone under the first two years, but there was such a great emotional product. People would tolerate the fail whale. And then, you know, well that was a whole 'nother thing. >> Then a plane landed in (John laughs) the Hudson and it was over. >> I think verticals, a lot of verticals will build applications using these models like for lawyers, for doctors, for scientists, for content creators, for- >> So you'll have many hundreds of millions of dollars investments that are going to be seeping out. If, all right, we got to wrap, if you had to put odds on it that that OpenAI is going to be the leader, maybe not a winner take all leader, but like you look at like Amazon and cloud, they're not winner take all, these aren't necessarily winner take all markets. It's not necessarily a zero sum game, but let's call it winner take most. What odds would you give that open AI 10 years from now will be in that position. >> If I'm 0 to 10 kind of thing? >> Yeah, it's like horse race, 3 to 1, 2 to 1, even money, 10 to 1, 50 to 1. >> Maybe 2 to 1, >> 2 to 1, that's pretty low odds. That's basically saying they're the favorite, they're the front runner. Would you agree with that? >> I'd say 4 to 1. >> Yeah, I was going to say I'm like a 5 to 1, 7 to 1 type of person, 'cause I'm a skeptic with, you know, there's so much competition, but- >> I think they're definitely the leader. I mean you got to say, I mean. >> Oh there's no question. There's no question about it. >> The question is can they execute? >> They're not Friendster, is what you're saying. >> They're not Friendster and they're more like Twitter and Reddit where they have momentum. If they can execute on the product side, and if they don't stumble on that, they will continue to have the lead. >> If they say stay neutral, as Sam is, has been saying, that, hey, Microsoft is one of our partners, if you look at their company model, how they have structured the company, then they're going to pay back to the investors, like Microsoft is the biggest one, up to certain, like by certain number of years, they're going to pay back from all the money they make, and after that, they're going to give the money back to the public, to the, I don't know who they give it to, like non-profit or something. (indistinct) >> Okay, the odds are dropping. (group talks over each other) That's a good point though >> Actually they might have done that to fend off the criticism of this. But it's really interesting to see the model they have adopted. >> The wildcard in all this, My last word on this is that, if there's a developer shift in how developers and data can come together again, we have conferences around the future of data, Supercloud and meshs versus, you know, how the data world, coding with data, how that evolves will also dictate, 'cause a wild card could be a shift in the landscape around how developers are using either machine learning or AI like techniques to code into their apps, so. >> That's fantastic insight. I can't thank you enough for your time, on the heels of Supercloud 2, really appreciate it. All right, thanks to John and Sarbjeet for the outstanding conversation today. Special thanks to the Palo Alto studio team. My goodness, Anderson, this great backdrop. You guys got it all out here, I'm jealous. And Noah, really appreciate it, Chuck, Andrew Frick and Cameron, Andrew Frick switching, Cameron on the video lake, great job. And Alex Myerson, he's on production, manages the podcast for us, Ken Schiffman as well. Kristen Martin and Cheryl Knight help get the word out on social media and our newsletters. Rob Hof is our editor-in-chief over at SiliconANGLE, does some great editing, thanks to all. Remember, all these episodes are available as podcasts. All you got to do is search Breaking Analysis podcast, wherever you listen. Publish each week on wikibon.com and siliconangle.com. Want to get in touch, email me directly, david.vellante@siliconangle.com or DM me at dvellante, or comment on our LinkedIn post. And by all means, check out etr.ai. They got really great survey data in the enterprise tech business. This is Dave Vellante for theCUBE Insights powered by ETR. Thanks for watching, We'll see you next time on Breaking Analysis. (electronic music)

Published Date : Jan 20 2023

SUMMARY :

bringing you data-driven and ChatGPT have taken the world by storm. So I asked it, give it to the large language models to do that. So to your point, it's So one of the problems with ChatGPT, and he simply gave the system the prompts, or the OS to help it do but it kind of levels the playing- and the answers were coming as the data you can get. Yeah, and leveled to certain extent. I check the facts, save me about maybe- and then I write a killer because like if the it's, the law is we, you know, I think that's true and I ask the set of similar question, What's your counter point? and not it's underestimated long term. That's what he said. for the first time, wow. the overhyped at the No, it was, it was I got, right I mean? the internet in the early days, and it's only going to get better." So you're saying it's bifurcated. and possibly the debate the first mobile device. So I mean. on the right with ChatGPT, and convicted by the Department of Justice the scrutiny from the Fed, right, so- And the privacy and thing to do what Sam Altman- So even though it'll get like, you know, it's- It's more than clever. I mean you write- I think that's a big thing. I think he was doing- I was not impressed because You know like. And he did the same thing he's got a lot of hyperbole. the browser moment to me, So OpenAI could stay on the right side You're right, it was terrible, They could be the Netscape Navigator, and in the horizontal axis's So I guess that's the other point is, I mean to quote IBM's So the data problem factors and the government's around the world, and they're slow to catch up. Yeah, and now they got years, you know, OpenAI. But the problem with government to kill Big Tech, and the 20% is probably relevant, back in the day, right? are they going to apply it? and also to write code as well, that the marketplace I don't, I don't see you had an interesting comment. No, no. First of all, the AI chops that Google has, right? are off the scales, right? I mean they got to be and the capacity to process that data, on some of the thinking So Lina Kahn is looming, and this is the third, could be a third rail. But the first thing What they will do out the separate company Is it to charge you for a query? it's cool to type stuff in natural language is the way and how many cents the and they're going through Google search results. It will, because there were It'll be like, you know, I mean. I never input the transcript. Wow, But it was a big lie. but I call it the vanilla content. Make your point, cause we And on the danger side as well, So the data By the way, that means at the Supercloud event, So one of the VCs actually What do you make of it? you were like "Hundreds of millions." not 10, not a billion. Clearly, the CapEx spending to build all But I think it's not that hard. It's, what, you know This is the new economics Look at the amount of And Sam is depositioning all the success, or 150 or 200 million to train the model. So I think to compute is different. not because of the software. Because you can, buy They built the moat And then, you know, well that the Hudson and it was over. that are going to be seeping out. Yeah, it's like horse race, 3 to 1, 2 to 1, that's pretty low odds. I mean you got to say, I mean. Oh there's no question. is what you're saying. and if they don't stumble on that, the money back to the public, to the, Okay, the odds are dropping. the model they have adopted. Supercloud and meshs versus, you know, on the heels of Supercloud

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Sam Pierson & Monte Denehie, Talend | AWS re:Invent 2022


 

(upbeat music) (air whooshing) >> Good afternoon, cloud nerds, and welcome back to beautiful Las Vegas, Nevada. We are at AWS re:invent day four. Afternoon of day four here on theCUBE. I'm Savannah Peterson, joined by my fabulous cohost, Paul Gillin. Paul, you look sharp today. How you doing? >> Oh, you're just as fabulous, Savannah. You always look sharp. >> I appreciate that. They pay you enough to keep me buttered up over here at- (Paul laughing) It's wonderful. >> You're holding up well. >> Yeah, thank you. I am excited about our next conversation. Two fabulous gentlemen. Please welcome Sam and Monty, welcome to the show. >> Thank you. >> And it was great. Of the PR 2%, the most interesting man alive. (Paul and Savannah laughing) >> In person. Yeah, yeah. >> In the flesh. Our favorite guests so far. So how's the show been for you guys? >> Sam: It's been phenomenal. >> Just spending a lot of time with customers and partners and AWS. It's been great. It's been great. >> It is great. It's really about the community. It feels good to be back. >> Monty: Eating good food, getting my steps in above goals. >> I feel like the balance is good. We walk enough of these convention centers that you can enjoy the libations and the delicious food that's in Las Vegas and still not go home feeling like a cow. It is awesome. It's a win-win. >> To Sam's point though, meeting with customers, meeting with other technology providers that we may be able to partner with. And most importantly, in my role especially, meeting with all of our AWS key stakeholders in the partnership. So yeah, it's been great. >> Everyone's here. It's just different having a conversation in person. Even like us right now. So just in case folks aren't familiar, tell me about Talend. >> Yeah. Well, Talend is a data integration company. We've been around for a while. We have tons of different ways to get data from point A to point B, lots of different sources, lots of different connectors, and it's all about creating accessibility to that data. And then on top of that, we also have a number of solutions around governance, data health, data quality, data observability, which I think is really taking off. And so that's kind of how we're changing the business here. >> Casual change, data and governance. I don't know if anyone's talking about that at all on the snow floor. >> Been on big topic here. We've had a lot of conversations with the customers about that. >> So governance, what new dynamics has the cloud introduced into data governance? >> Well, I think historically, customers have been able to have their data on-prem. They put it into things like data lakes. And now having the flexibility to be able to bring that data to the clouds, it opens up a lot of doors, but it also opens up a lot of risks. So if you think about the chief data officer role, where you have, okay, I want to be able to bring my data to the users. I want to be able to do that at scale, operationally. But at the same time you have a tension then between the governance and the rules that really restrict the way that you can do that. Very strong tension between those two things. >> It really is a delicate balance. And especially as people are trying to accelerate and streamline their cloud projects, a lot to consider. How do you all help them do that? Monty, let's go to you. >> Yeah, we keep saying data, data, what is it really? It's ones and zeros. In this day and age, everything we see, we touch, we do, we either use data, or we create data, and then that... >> Savannah: We are data quite literally. >> We literally are data. And so then what you end up with is all these disparate data silos and different applications with different data, and how do you bring all that together? And that's where customers really struggle. And what we do is we bring it all together, and we make it actionable for the customer. We make it very simple for them to take the data, use it for the outcomes that they're looking for in their business initiatives. >> Expand on that. What do you mean make it actionable? Do you tag it? Do you organize it in some way? What's different about your approach? >> I mean, it's a really flexible platform. And I think we're part of a broader ecosystem. Even internally, we are a data driven company. Coming into the company in April, I was able to come in and get this realtime view of like, "Hey, here's where our teams are." And it's all in front of me in a Tableau dashboard that's populated from Talend integration, bringing data out of our different systems, different systems like Workday where we're giving offers out to people. And so everything from managing headcount to where our AWS spend is, all of that stuff. >> Now, we've heard a lot of talk about data and in fact the keynote yesterday that was focused mainly on data and getting data out of silos. How do you play with AWS in that role? Because AWS has other data integration partners. >> Sam: For sure. >> What's different about your relationship? Yeah. >> Go ahead. >> Yeah, we've had a strong relationship with AWS for many years now. We've got more than 80 connectors into the different AWS services. So we're not new to the AWS game. We align with the sales teams, we align with the partner teams, and then of course, we align with all the different business units and verticals so that we can enact that co-sell motion together with AWS. >> Sam: Yeah. And I think from our product standpoint, again, just being a hyper flexible platform, being able to put, again, any different type of source of data, to any type of different destination, so things like Redshift, being able to bring data into those cloud data warehouses is really how we do that. And then I think we have between bringing data from A to B, we're also able to do that along a number of different dimensions. Whether that's just like, "Hey, we just need to do this once a day to batch, all the way down to event driven things, streaming and the like. >> That customization must be really valuable for your customers as well. So one of the big themes of the show has been cost reduction. Obviously with the economic times as we're potentially dipping our toes into as well, is just in general, always wanting to increase margins. How do you help customers cut cost? >> Well, it's cost cutting, but it's also speed to market. The faster you can get a product to market, the faster you can help your customers. Let's say healthcare life sciences, pharmaceutical companies, patient outcomes. >> Great and timely example there. >> Patient outcomes, how do they get drugs to market quicker? Well, AstraZeneca leveraged our platform along with AWS. And they even said >> Cool. >> for every dollar that they spend on data initiatives, they get $40 back. That's a billion dollars >> Wow. >> savings by getting a drug to market one month faster. >> Everybody wins. >> How do you accelerate that process? >> Well, by giving them the right data, taking all the massive data that I mentioned, siloed in everywhere, and making it so that the data scientists can take all of this data and make use of it, makes sense of it, and move their drug production along much quicker. >> Yeah. And I think there's other things too like being very flexible in the way that it's deployed. Again, I think like you have this historical story of like, it takes forever for data to get updated, to get put together. >> Savannah: I need it now. And in context. >> And I think where we're coming from is almost more of a developer focus where your jobs are able to be deployed in any way you want. If you want to containerize those, you want to scale them, you need to schedule them that way. We plug into a lot of different ecosystems. I think that's a differentiation as well. >> I want to hang out on this one just for a second 'cause it's such a great customer success story and so powerful. I mean, in VC land, if you can take a dollar and make two, they'll give you a 10x valuation, 40. That is so compelling. I mean, do you think other customers could expect that kind of savings? A billion dollars is nothing to laugh at especially when we're talking about developing a vaccine. Yeah, go for it, Sam. >> It really depends on the use case. I think what we're trying to do is being able to say, "Hey, it's not just about cost cutting, but it's about tailoring the offerings." We have other customers like major fast food vendors. They have mobile apps and when you pull up that mobile app and you're going to do a delivery, they want to be able to have a customized offering. And it's not like mass market, 20% off. It's like, they want to have a very tailored offer to that customer or to that person that's pulling open that app. And so we're able to help them architect and bring that data together so that it's immediately available and reliable to be able to give those promotions. >> We had ARP on the show yesterday. We're talking about 50 million subscribers and how they customize each one of their experiences. We all want it to be about us. We don't want that generic at... Yeah, go for it, Paul. >> Oh, okay. >> Yeah. >> Well, I don't want to break break the rhythm here, but one area where you have differentiated, about two years ago you introduced something called the trust score. >> Sam: Yeah. >> Can you explain what that is and how that has resonated with your customers? >> Yeah, let's talk about this. >> Yeah, the thing about the trust score is, how many times have you gotten a set of data? And you look at it and you say, "Where did you get this data? Something doesn't look right here." And with the trust score, what we're able to do is quantify and value the different attributes of the data. Whether it's how much this is being used. We can profile the data, and we have a trust score that runs over time where you can actually then look at each of these data sets. You can look at aggregates of data sets to then say... If you're the data engineer, you can say, "Oh my, something has gone wrong with this particular dataset." Go in, quickly pull up the data. You can see if some third party integration has polluted your data source. I mean, this happens all the time. And I think if you sort of compare this to the engineering world, you're always looking to solve those problems sooner, earlier in the chain. You don't want your consumer calling you saying, "Hey, I've got a problem with the data, or I've got a problem- >> You don't want them to know there was ever a problem in theory. >> Yeah, the trust score helps those data engineers and those people that are taking care of the data address those problems sooner. >> How much data does somebody need to be able to get to the point where they can have a trust score? If you know what I'm trying to say. How do we train that? >> I mean, it can be all the way from just like a single data source that's getting updated, all the way to very large complex ones. That's where we've introduced this hierarchy of data sets. So it's not just like, "Hey, you've got a billion data sources here and here are the trust scores." But it's like, you can actually architect this to say like, "Okay, well, I have these data sets that belong to finance." And then finance will actually get, "Here's the trust score for these data sets that they rely on." >> What causes datasets to become untrustworthy? >> Yeah. Yeah. I mean, it happens all the time. >> A of different things, right? >> In my history, in the different companies that I've been at, on the product side, we have seen different integrations that maybe somebody changes something. In upstream, some of those integrations can actually be quite brittle. And as a consumer of that data, it's not necessarily your fault, but that data ends up getting put into your production database. All of a sudden your data engineering team is spending two days unwinding those transactions, fixing the data that's in there. And all the while, that bad data that's in your production system, is causing a problem for somebody that is ultimately relying on that. >> Is that usually a governance problem? >> I think governance is probably a separate set of constraints. This is sort of the tension between wanting to get all of the data available to your consumers versus wanting to have the quality around it as well. >> It's tough balance. And I think that it's really interesting. Everybody wants great data, and you could be making decisions that affect people's wellness, quite frankly. >> For sure. >> Very dramatically if you're ill-informed. So that's very exciting. >> To your point, we are all data. So if the data is bad, we're not going to get the outcomes that we want ultimately, >> I know. We certainly want the best outcomes for ourselves. >> We track that data health for its entire life cycle throughout the process. >> That's cool. And that probably increases your confidence in the trust score as well 'cause you're looking at so much data all the time. You got a smart thing going on over here. I like it. I like it a lot. >> We believe in it and so does AWS because they are a strong partner of ours, and so do customers. I think we mentioned we've had some phenomenal customer conversations along with- >> What a success story and case study. I want to dust your shoulders off right now if I wasn't tethered in. That's super impressive. So what's next for you all? >> Yeah, so I think we're going to continue down this path of data health and data governance. Again, I kind of talked about the... you're talking about data health being this differentiator on top of just moving the data around and being really good at that. I think you're also going to have different things around country level or state level governance, literal laws that you need to comply with. And so like- >> Savannah: CCPA- >> I mean, a long list- >> Oodles. Yeah. Yeah, yeah, yeah. >> I think we're going to be doing some interesting things there. We are continuing to proliferate the sources of data that we connect to. We're always looking for the latest and greatest things to put the data into. I think you're going to see some interesting things come out of that too. >> And we continue to grow our relationship with AWS, our already strong relationship. So you can procure Talend products to the AWS marketplace. We just announced Redshift serverless support for Talend. >> All their age. >> Which sounds amazing, but because we've been doing this for so long with AWS, dirty little secret, that was easy for us to do because we're already doing all this stuff. So we made the announcement and everyone was like, "Congratulations." Like, "Thanks." >> Look at you all. Full of the humble brags. I love it. >> Talend has gone through some twists and turns over the last couple of years. Company went private, was purchased by Thoma Bravo about a year and a half ago. At that time, your CEO said that it was a chance to really refocus the company on some core strategic initiatives and move forward. Both of you joined obviously after that happened. But what did you see about sort of the new Talend that attracted you, made you want to come over here? >> For sure. Yeah. I think, when I got a chance to talk to the board and talk to Chris, our chair, we talked about there being the growth thesis behind it. So I think Thoma been a great partner to Talend. I think we're able to do some things internally that would be I think, fairly challenging for companies that are in the public markets right now. I think especially, just a lot of pressure on different prices and the cost capital and all of that. >> Right now. >> That was a really casual way of stating that. But yeah, just a little pressure. >> Little bit of pressure. And who knows? Who knows how long that's going to last, right? But I think we've got a great board in place. They've been very strong strategic partner for us talking about all the different ways that we can grow. I think it's been a good partner for us- >> One of the strengths of Thoma's strategy is synergy between the companies they've acquired. >> Oh, for sure. >> They've acquired about 40 software companies. Are you seeing synergy? You talk to those other companies a lot? >> Yeah, so I have an operating partner. I talk with him on a weekly, sometimes daily basis. If we have questions or like, "Hey, what are you seeing in this space?" We can get plugged in to advisors very quickly. I think it's been a very helpful thing where... otherwise, you're relying on your personal network or things like that. >> This is why Monty was saying it was easy for you guys to go serverless. >> And we keep talking about trust, but in this case, Thoma Bravo really trusts our senior leadership team to make the right decisions that Sam and I are here making as we move forward. It's a great relationship. >> Sam: A good team. >> It sounds like it. All the love. I can feel the love even from you guys talking about it, it's genuine. You're not just getting paid to show this. That's fantastic. >> Are we getting paid for this or... >> Yeah. (Savannah giggling) (Paul laughing) I mean, some folks in the audience are probably going to want your autograph after this, although you get that a lot- >> Pictures are available after- >> Yeah, selfies are 10 bucks. That's how I get my boos budget. So last question for you. We have a challenge here on the theCUBE re:invent. We're looking for your 32nd hot take. Think of it as your thought leadership sizzle reel. Biggest takeaway, key themes from the show or looking forward into 2023? Sam, you're ready to rock, go. >> Yeah, totally. >> I think you're going to continue to hear the tension between being able to bring the data to the masses versus the simplicity and being able to do that in a way that is compliant with all the different laws, and then clean data. It's like a lot of different challenges that arise when you do this at scale. And so I think if you look at the things that AWS is announcing, I think you look at any sort of vendor in the data space are announcing, you see them sort of coming around to that set of ideas. Gives me a lot of confidence in the direction that we're going that we're doing the right stuff and we're meeting customers and prospects and partners, and everybody is like... We kind of get into this conversation and I'll say, "Yeah, that's it. We want to get involved in that." >> You can really feel the momentum. Yeah, it's true. It's great. What about you, Monty? >> I mean, I don't need 30 seconds. I mentioned it. >> Great. >> Between Talend and AWS, we're aligned from the sales teams to the product teams, the partner teams and the alliances. We're just moving forward and growing this relationship. >> I love it. That was perfect. And on that note, Sam, Monty, thank you so much for joining us. >> Yeah, thanks for having us. >> I'm sure your careers are going to continue to be rad at Talend and I can't wait to continue the conversation. >> Sam: Yeah, it's a great team. >> Yeah, clearly. I mean, look at you two. If you're any representation of the culture over there, they're doing something great. (Monty laughing) I thank all of you for tuning in to our nearly... Well, shoot. I think now over 100 interviews at AWS Reinvent in Sin City. We are hanging out here. Paul and I've got a couple more for you. So we hope to see you tuning in 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 :

How you doing? you're just as fabulous, Savannah. They pay you enough to keep I am excited about our next conversation. Of the PR 2%, the most Yeah, yeah. So how's the show been for you guys? of time with customers really about the community. getting my steps in above goals. I feel like the balance is good. in the partnership. a conversation in person. changing the business here. on the snow floor. We've had a lot of conversations that really restrict the How do you all help them do that? and then that... and how do you bring all that together? What do you mean make it actionable? And I think we're part and in fact the keynote yesterday your relationship? so that we can enact that And then I think we have between So one of the big themes of the show the faster you can help your customers. get drugs to market quicker? for every dollar that they to market one month faster. and making it so that the data scientists Again, I think like you have And in context. And I think where we're coming from I mean, do you think other customers and when you pull up that mobile app We had ARP on the show yesterday. called the trust score. And I think if you sort of compare this You don't want them to Yeah, the trust score to be able to get to the point I mean, it can be all the way I mean, it happens all the time. on the product side, we have all of the data available And I think that it's really interesting. So that's very exciting. So if the data is bad, the best outcomes for ourselves. We track that data health in the trust score as well I think we mentioned I want to dust your literal laws that you need to comply with. I think we're going to be doing So you can procure Talend that was easy for us to do the humble brags. Both of you joined obviously and talk to Chris, our chair, That was a really But I think we've got One of the strengths You talk to those other companies a lot? I think it's been a very it was easy for you guys to go serverless. to make the right decisions I can feel the love even from I mean, some folks in the audience on the theCUBE re:invent. the data to the masses You can really feel the momentum. I mean, I don't need 30 seconds. from the sales teams to the product teams, And on that note, Sam, Monty, continue the conversation. I mean, look at you two.

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Sam Nicholls, Veeam | AWS re:Invent 2022


 

(bright music) >> Hello cloud computing friends and welcome back to theCUBE, where we are live from Las Vegas, Nevada, here at AWS re:Invent all week. My name is Savannah Peterson, very excited to be joined by Paul Gillan today. How are you doing? >> I'm doing great, Savannah. It's my first re:Invent. >> I was just going to ask you >> So it's quite an experience. >> If you've ever been to re:Invent. >> It's dazzling much like the sequins on your top. It's dazzling. >> Yes. >> It's a jam packed affair. I came to the COMDEX Conference for many years in Las Vegas, which was huge event and this really rivals it in terms of these crowd sizes. But I think there's more intensity here. There's more excitement. People are just jazzed about being here to the extent that I never saw at other computer conferences. >> I thought I would agree with you. It's my first re:Invent as well. I'm glad we could share this experience together. And the vibe, the pulse, I think being back in person is really contagious as well. Ooh, maybe the wrong word to use, but in a great way. The energy is definitely radiating between people here. I'll watch my words a little bit better. >> And in person we have with us Samuel Nicholls, the director of public cloud at Global Product Marketing at Veeam Software. Sam, is it Sam or Samuel? >> Depends if I'm in trouble, Paul. >> Savannah: But it depends on who's saying it out loud. >> Yeah, yeah. It's typically, Samuel is usually reserved for my mother, so- >> Yeah. >> (laughs) Well, Sam, thanks for joining us. >> We'll stick with Sam on the show. >> Yeah. >> So Veeam been a red hot company for several years. Really made its, uh, its reputation in the VMware world. Now you've got this whole-sail shift to the cloud, not that VMware is not important still, but how is that affecting, you're shifting with it, how is that affecting your role as a product manager and the business overall? >> Yeah, it's a fantastic question. Obviously Veeam was pioneered in terms of being the purpose-built backup and recovery company for VMware. And as these workloads are being transitioned from the data center into the cloud or just net new workloads being created in the cloud, there is that equal need for backup and recovery there. So it's incredibly important that we were able to provide a purpose-built backup and recovery solution for workloads that live in AWS as well. >> Paul: And how different is it backing up an AWS workload compared to a VMware workload? >> I think it depends on what kind of service a user is, is, is utilizing, right? There's infrastructure as a service, platform as a service, software as a service. And given the differences in what is exposed to that customer that can make backup and recovery quite challenging. So I would say that the primary thing that we want to look at is utilizing native snapshots is our first line of defense when it comes to backup and recovery, irrespective of what workload that right might be whether it's a virtual machine, Amazon EC2, some sort of database on Amazon RDS, a file share, so on. >> Savannah: I bet you're seeing a lot across verticals and across the industry given the support that you're giving customers. What are you seeing in the market and in customer environments? What are some of those trends? >> So I think the major trends that we highlight in our data protection trend support, which is a new update is coming very shortly in the new year, is- >> Savannah: We have to check that out. >> Yeah, absolutely. The physical server is on a decline within the data center. Virtualized workloads, namely VMware is relatively static, kind of flat. The real hockey stick is with the cloud workloads. And as I mentioned before, that is partially because workloads are being transitioned from physical to virtual machines to being cloud hosted but also we're creating more applications and the cloud has become lead de facto standard for new workloads. So you hear about cloud first initiatives, digital transformation, the cloud is central to that. >> You mentioned snapshotting, which is a relatively new phenomenon, although it's taken a hold rapidly, how does snapshotting work in the cloud versus in on your on-prem environment? >> Samuel: It's not wildly different at all. I think the snapshots is again, a great first line of defense for helping users achieve very low recovery point objectives. So the frequency that they can protect their data as well as very low recovery time objectives, how quickly that I can recover the data. Because that's why we're backing up, right? We need the ability to recover. However, snapshots certainly have their limitations as well. They are not independent of the workload that is being protected. So if there were to be some sort of cybersecurity event like ransomware that is prolific throughout pretty much every business, every vertical. When that snapshot is not independent, if the production system becomes compromised that snapshot's likely to be compromised as well. And then going back to the recovery piece, not going to have something to recover from. >> And it's not a one and done with ransomware. >> No. >> It's, yeah. So how, so what is the role that backup plays? I mean a lot of people, I feel like security is such a hot topic here in the show and just in general, attacks are coming in unique form factors for everyone. I mean, I feel like backup is, no pun intended, the backbone of a system here. How does that affect what you're creating, I mean? >> Yeah, absolutely. I think, like you say the backup is core to any comprehensive security strategy, right? I think when we talk about security, everyone tends to focus on the preventative, the proactive piece, stopping the bad guys from getting in. However, there is that remediative aspect as well because like you say, ransomware is relentless, right? You, you as a good guy have to pretty much fend off each and every single attack that comes your way. And that can be an infinite number of attacks. We're all human beings, we're fallible, right? And sometimes we can't defend against everything. So having a secure backup strategy is part of that remediative recovery component for a cybersecurity strategy is critical. And that includes things like encryption, immutability, logical separation of data and so forth. >> Paul: We know that ransomware is a scourge on-premises, typically begins with the end users, end user workstation. How does ransomware work in the cloud? And do the cloud providers have adequate protections against ransomware? Or can they? >> Samuel: Yeah, it's a, it's a fantastic question as well. I think when we look at the cloud, one of the common misconceptions is as we transition workloads to the cloud, we are transitioning responsibility to that cloud provider. And again, it's a misconception, right? It is a shared responsibility between the cloud provider in this case, AWS and the user. So as we transition these workloads across varying different services, infrastructure, platform, software as a service, we're always, always transitioning varying degrees of responsibility. But we always own our data and it is our responsibility to protect and secure that data, for the actual infrastructure components, the hardware that is on the onus of the cloud provider, so I'd say that's the major difference. >> Is ransomware as big a threat in the cloud as it is on-prem? >> Absolutely. There's no difference between a ransomware attack on-premises or in the cloud. Irrespective of where you are choosing to run your workloads, you need to have that comprehensive cybersecurity strategy in order to defend against that and ultimately recover as well if there's a successful attempt. >> Yeah, it's, ooh, okay. Let's get us out at the dark shadows real quick (laughs) and bring us back to a little bit of the business use case here. A lot of people using AWS. What do you think are some of the considerations, they should have when they're thinking about this, thinking about growing their (indistinct)? >> Well, if we're going to stick down the dark shadows, the cybersecurity piece. >> We can be the darkness. >> You and me kind of dark shadows business. >> Yeah, yeah. >> We can go rainbows and unicorns, nice and happy if you like. I think there's a number of considerations they need to keep up. Security is, is, is number one. The next piece is around the recovery as well. I think folks, when they, when we talk about backup and recovery, the focus is always on the backup piece of it. But again, we need to focus on why we're doing the backup. It's the recovery, it's the recovery component. So making sure that we have a clean verifiable backup that we're able to restore data from. Can we do that in a, in efficient and timely manner? And I think the other major consideration is looking at the entirety of our environments as well. Very few companies are a hundred percent sole sourced on a single cloud provider. It is typically hybrid cloud. It's around 80% of organizations are hybrid, right? So they have their on-premises data and they also have workloads running in one or multiple clouds. And when it comes to backup and recovery of all of these different infrastructures and environments, the way that we approach it is very different. And that often leads to multiple different point products from multiple different vendors. The average company utilizes three different backup products, sometimes as many as seven and that can introduce a management nightmare that's very complex, very resource intensive, expensive. So looking at the entirety of the environment and looking to utilize a backup provider that can cover the entirety of that environment while centralizing everything under a single management console helps folks be a lot more efficient, a lot more cost effective and ultimately better when it comes to data protection. >> Amazon and all cloud providers really are increasingly making regions transparent. Just at this conference, Amazon introduced failover controls from multiple multi-region access points. So you can, you can failover from one access from one region to another. What kind of challenges does that present to you as a backup provider? >> I don't think it represents any challenges. When we look at the native durability of the cloud, we look at availability zones, we look at multi-region failover. That is, that durability is ultimately founded on, on replication. And I wouldn't say that replication and backup, you would use one or the other. I would say that they are complimentary. So for replication, that is going to help with the failover scenario, that durability component. But then backup again is that independent copy. Because if we look at replication, if let's say the source data were to be compromised by ransomware or there was accidental deletion or corruption, that's simply going to be copied over to the target destination as well. Having that backup as an independent copy, again compliments that strategy as well. >> Paul: You need it in either, in any scenario. >> Samuel: In any scenario. >> I think the average person would probably say that backup is not the most exciting technology aspect of this industry. But, but you guys certainly made, build a great business on it. What excites you about what's coming in backup? What are the new technologies, new advancements that perhaps we haven't seen and productized yet that you think are going to change the game? >> I think actually what we offer right now is the most exciting piece which is just choice flexibility. So Veeam again is synonymous with VMware backup but we cover a multitude of environments including AWS, containerized workloads, Kubernetes physical systems and the mobility pieces is critical because as organizations look to act on their digital transformation, cloud first initiatives, they need to be able to mobilize their workloads across different infrastructures, maybe from on-premises into the cloud, one cloud to another, maybe it's cloud back to on-premises, 'cause we do also see that. That flexibility of choice is what excites me about Veeam because it's ultimately giving the users best in class data protection tool sets without any prescriptive approach from us in terms of where you should be running your workloads. That is the choice that you use. >> Yeah, Veeam is definitely more than VMware. We actually had a chance to chat with you all like KubeCon and CloudNativeCon in Detroit. So we, we've seen the multitude of things that you touch. I want to bring it back to something and something kind of fun because you talked a lot about the community and being able to serve them. It's very clear, actually I shouldn't say this, I shouldn't say it's very clear, but to me it appears clear that community is a big priority for Veeam. I just want to call this out 'cause this was one of the cooler pieces of swag. You all gave out a hundred massage guns. Okay, very hot topic. Hot Christmas gift for 2022. I feel like Vanna White right now. And, but I thought that I was actually really compelled by this because we do a swag segment on theCUBE but it's not just about the objects or getting stuff. It's really about who's looking out for their community and how are they saying thanks. I mean, swag is a brand activation but it's also a thank you and I loved that you were giving out massage guns to the AWS Heroes and Community Builders. >> Yep. >> What role does community play in the culture and the product development at Veeam? >> So community has always been at the heart of Veeam. If you have a look at pretty much every single development across all of our versions, across all of our products it's always did by the community, right? We have a wonderful Veeam forum where we got 400,000 plus users actively providing feedback on the product what they would like to see. And that is ultimately what steers the direction of the product. Of course market trends and technology chain. >> A couple other factors, I'm sure. >> A couple of other factors, but community is huge for us. And the same goes for AWS. So, you know, talking with the AWS Heroes, the Community Builders helps Veeam reach further into that, into that community and the AWS user base and empower those folks with data protection tools and massage guns, when your feet are tired from, you know, being standing on them all day in Vegas. >> (laughs) Yeah, well, I mean, everybody, everybody's working hard and it's nice to say, it's nice to say, thank you. So I love, I love to hear that and it's, it's clear from the breadth of products that you're creating, the ways that you're supporting your customers that you already, they care a lot about community. We have a new challenge on theCUBE this year at AWS re:Invent. Think of it as an Instagram reel of your thought leadership, your hot take on the show, key themes as we look into 2023. What do you think is the most important story or trend or thing going on here at the show? >> I think it's just the continuation of cybersecurity and the importance of backup as a comprehensive cybersecurity strategy. You know, some folks might say that secure backup is your last line of defense. Again, ransomware is relentless. These folks are going to keep coming and even if they're successful, it's not a one and done thing. It's going to happen again and again and again. So, you know, we have a look around the show floor, the presentations there is a huge cybersecurity focus and really just what folks should be doing as their best practice to secure their AWS environments. >> That's awesome. Well, Paul, any final, any final thoughts or questions? >> I just quickly, you've mentioned data security, you mentioned data protection and backup sort of interchangeably but they're not really the same thing, are they? I mean, what businesses do you see Veeam as being here? >> I would say that we are a data protection company because of, yes, there is backup, but there's also the replication component. There's the continuous data protection component where we've got, you know, near-zero RTOs and then we again look at the cybersecurity components of that. What can we do to really protect that data? So I would say that the two are different. Backup is a subset of data protection. >> Sam, thank you so much for being here with us on theCUBE. It's been a super insightful conversation. Hopefully we'll get you back soon and more of the teams, there seem to be celebrities here with us on theCUBE. Paul Gillan, thank you so much for being here with me. >> Pleasure Savannah. >> And I'm glad we get to celebrate our first re:Invent and most importantly, thank you to the audience for tuning in. Without you, we don't get to hang out here in fabulous Las Vegas, Nevada, where we're live from the show floor at AWS re:Invent. My name is Savannah Peterson with Paul Gillan. We're theCUBE and we are the leading source for high-tech coverage. (bright music)

Published Date : Nov 29 2022

SUMMARY :

How are you doing? It's my first re:Invent. to re:Invent. the sequins on your top. I came to the COMDEX Conference And the vibe, the pulse, the director of public cloud on who's saying it out loud. Samuel is usually reserved (laughs) Well, Sam, on the show. the business overall? being created in the cloud, And given the differences and across the industry given the support and the cloud has become We need the ability to recover. And it's not a one the backbone of a system here. on the preventative, And do the cloud providers for the actual infrastructure components, on-premises or in the cloud. of the business use case here. stick down the dark shadows, You and me kind of that can cover the entirety to you as a backup provider? durability of the cloud, we look either, in any scenario. that backup is not the most That is the choice that you use. but it's not just about the of the product. into that community and the AWS user base and it's nice to say, it's and the importance of backup Well, Paul, any final, any at the cybersecurity components of that. and more of the teams, are the leading source

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Sam Grocott, Dell Technology Summit


 

>>Hello everyone, This is Dave Lanta and you're watching The Cube's coverage of the Dell Technology Summit 2022 with exclusive behind the scenes interviews featuring Dell executive perspectives. And right now we're gonna explore Apex, which is Dell's as a service offering Dell's multi-cloud and edge strategies and the momentum around those. And we have news around Project Frontier, which is Dell's vision for its edge platform. And there's so much happening here. And don't forget, it's Cyber Security Awareness Month. Sam Groot is here. He's the senior vice president of marketing at Dell Technologies. Sam, always great to see you. How you doing? >>Always great to be here, Dave. >>All right, let's look at cloud. Everybody's talking about cloud Apex, multi-cloud. What's the update? How's it going? Where's the innovation and focal points of the strategy? >>Yeah, yeah. Look, Dave, if you think back over the course of this year, you've really heard us pivot as a company and discussing more and more about how multi-cloud is becoming a reality for our customers today. And when we listen and talk with our customers, they really describe multi-cloud challenges and a few key threads. One, the complexity is growing very, very quickly. Two, they're having a harder time controlling how their users are accessing the various different clouds. And then of course, finally the cloud costs are growing unchecked as well. So we, we like to describe this phenomenon as multi-cloud by design, where essentially organizations are waking up and seeing cloud sprawl around their organization every day. And this is creating more and more of those challenges. So of course at Dell we've got a strong point of view that you don't need to build multi-cloud by by default, rather it's multi-cloud by design, where you're very intentional in how you do multi-cloud. >>And how we deliver multi-cloud by design is through Apex. Apex is our modern cloud and our modern consumption experience. So when you think about the innovation as well, they've like, we've been on a pretty quick track record here in that, you know, the beginning of this year we introduced brand new Apex backup services that provides that SAS based backup service. We've introduced or announced Project Alpine, which is bringing our storage software, intellectual property from on-prem and putting it and running it natively in the public cloud. We've also introduced new Apex cyber recovery services that is simplifying how customers protect against cyber attacks. They can run an Amazon Azure, aw, I'm sorry, Amazon, aws, Azure or Google. And then, you know, we are really focused on this multi-cloud ecosystem. We announce key partnerships with SaaS providers such as Snowflake, where you can now access our information or our data from on-prem through the Snow Snowflake cloud. >>Or if needed, we can actually move the data to the Snowflake cloud if required. So we're continuing to build out that ecosystem SA providers. And then finally I would say, you know, we made a big strategic announcement just recently with Red Hat, where we're not only delivering new Apex container services, but we announce a strategic partnership to build jointly engineered solutions to address hybrid and multi-cloud solutions going forward. You know, VMware is gonna always continue to be a key partner of ours at the la at the recent VMware explorer, we announced new Tansu integration. So, So Dave, I, I think in a nutshell, we've been innovating at a very, very fast pace. We think there is a better way to do multi-cloud and that's multi-cloud by design. >>Yeah, we heard that at Dell Technologies world. First time I had heard that multi-cloud by design versus sort of default, which is great Alpine, which is sort of our, what we called super cloud in the making. And then of course the ecosystem is critical for any cloud company. VMware, of course, you know, top partner, but the Snowflake announcement was very interesting Red Hat. So seeing that expand, now let's go out to the edge. How's it going with the edge expansion? There's gotta be new. Speaking of ecosystem, the edge is like a whole different, you know, OT type That's right. Ecosystem's, telcos, what and what's this new frontier platform all about? >>Yeah, yeah. So we've talked a lot about clouds and multi clouds. We've talked about private and hybrid clouds, we've talked about public clouds, clouds and cos, telcos, et cetera. There's really been one key piece of our multi-cloud and technology strategy that we haven't spent a lot of time on. And that's the edge. And we do see that as that next frontier for our customers to really gain that competitive advantage that is created from their data and get closer to the point of creation where the data lives. And that's at the edge. We see the edge infrastructure space growing very, very quickly. We see upwards of 300% year of year growth in terms of amount of data being created at the edge. That's almost 3000 exabytes of data by 2026. So just incredible growth. And the edge is not really new for Dell. We've been at it for over 20 years of delivering edge solutions. >>81% of the Fortune 100 companies in the US use Dell solutions today at the Edge. And we are the number one OEM provider of Edge solutions with over 44,000 customers across over 40 industries and things like manufacturing, retail, edge healthcare, and more. So Dave, while we've been at it for a long time, we have such a, a deep understanding of how our customers are using Edge solutions. Say the bottom line is the game has gotta change. With that growth that we talked about, the new use cases that are emerging, we've got to un unlock this new frontier for customers to take advantage of the edge. And that's why we are announcing and revealing Project Frontier. And Project Frontier in its most simplest form, is a software platform that's gonna help customers and organizations really radically simplify their edge deployments by automating their edge operations. You know, with Project Frontier organizations are really gonna be able to manage, OP, and operate their edge infrastructure and application securely, efficiently and at scale. >>Okay, so it is, first of all, I like the name. It is software, it's a software architecture. So presumably a lot of API capabilities. That's right. Integration's. Is there hardware involved? >>Yeah, so of course you'll run it on Dell infrastructure. We'll be able to do both infrastructure, orchestration, orchestration through the platform, but as well as application orchestration. And you know, really there's, there's a handful of key drivers that have been really pushing our customers to take on and look at building a better way to do the edge with Project Frontier. And I think I would just highlight a handful of 'em. You know, freedom of choice. We definitely see this as an open ecosystem out there, even more so at the Edge than any other part of the IT stack. You know, being able to provide that freedom of choice for software applications or IOT frameworks, operational technology or OT for any of their edge use cases, that's really, really important. Another key area that we're helping to solve with Project Frontier is, you know, being able to expect zero trust security across all their edge applications from design to deployment, you know, and of course backed by an end and secure supply chain is really, really important to customers. >>And then getting that greater efficiency and reliability of operations with the centralized management through Project Frontier and Zero Touch deployments. You know, one of the biggest challenges, especially when you get out to the far, far reach of the frontier is really IT resources and being able to have that IT expertise. And we built in an enormous amount of automation helps streamline the edge deployments where you might be deploying a single edge solution, which is highly unlikely or hundreds or thousands, which is becoming more and more likely. So Dave, we do think Project Frontier is the right edge platform for customers to build their edge applications on now and certain, excuse me, certainly, and into the future. >>Yeah. Sam, no truck rolls. I like it. And you, you mentioned, you mentioned Zero trust, so we have Mother's Day, you, we have Father's Day. The kids always ask When's Kids' day? And we, of course we say every day is kids' day and every day should be cyber security awareness day. So, but we have cyber security awareness month. What does it mean for Dell? What are you hearing from customers and, and how are you responding? >>Yeah, yeah. No, there isn't a more prevalent top of mind conversation, whether it's the boardroom or the IT departments or every company is really have been forced to reckon with the cyber security and ransom secure issues out there. You know, every decision in IT department makes impacts your security profile. Those decisions can certainly, positively, hopefully impact it, but also can negatively impact it as well. So data security is, is really not a new area of focus for Dell. It's been an area that we've been focused on for a long time, but there are really three core elements to cybersecurity and data security as we go forward. The first is really setting the foundation of trust is really, really important across any IT system. And having the right supply chain in the right partner to partner with to deliver that is kind of the foundation in step one. >>Second, you need to of course go with technology that is trustworthy. It doesn't mean you are putting it together correctly. It means that you're essentially assembling the right piece parts together. That, that coexist together in the right way. You know, to truly change that landscape of the attackers out there that are gonna potentially create risk for your environment. We are definitely pushing and helping to embrace the zero trust principles and architectures that are out there. So finally, while when you think about security, it certainly is not absolute all correct. Security architectures assume that, you know, there are going to be challenges, there are going to be pain points, but you gotta be able to plan for recovery. And I think that's the holistic approach that we're taking with Dell. >>Well, and I think too, it's obviously security is a complicated situation now with cloud, you've got, you know, shared responsibility models, you've got that multi-cloud, you've got that across clouds, you're asking developers to do more. So I think the, the key takeaway is as a security pro, I'm looking for my technology partner through their r and d and their, you mentioned supply chain processes to take that off my plate so I can go plug holes elsewhere. Okay. Sam, put a bow on Dell Technology Summit for us and give us your closing thoughts. >>Yeah, look, I I think we're at a transformative point in it. You know, customers are moving more and more quickly to multi-cloud environments. They're looking to consume it in different ways, such as as a service, a lot of customers edge is new and an untapped opportunity for them to get closer to their customers and to their data. And of course there's more and more cyber threats out there every day. You know, our customers when we talk with them, they really want simple, consistent infrastructure options that are built on an open ecosystem that allows them to accomplish their goals quickly and successfully. And look, I think at Dell we've got the right strategy, we've got the right portfolio. We are the trusted partner of choice to help them lead, lead their, their future transformations into the future. So, Dave, look, I think it's, it's absolutely one of the most exciting times in it and I can't wait to see where it goes from here. >>Sam, always fun catching up with you. Appreciate your time. >>Thanks Dave. >>All right. A Dell Tech world in Vegas this past year, one of the most interesting conversations I personally had was around hybrid work and the future of work and the protocols associated with that and the mindset of, you know, the younger generation. And that conversation was, was with Jen Savira and we're gonna speak to Jen about this and other people and cult culture topics. Keep it right there. You're watching the Cube's exclusive coverage of Dell Technology Summit 2022.

Published Date : Oct 13 2022

SUMMARY :

And we have news around Project Where's the innovation and focal points of the strategy? And when we listen and talk with our customers, they really describe multi-cloud challenges And how we deliver multi-cloud by design is through Apex. You know, VMware is gonna always continue to be a key partner of ours at the la Speaking of ecosystem, the edge is like a whole different, you know, And that's the edge. And we are the number one OEM provider of Edge solutions with over 44,000 Okay, so it is, first of all, I like the name. And you know, really there's, there's a handful of key drivers that have been really pushing our customers the edge deployments where you might be deploying a single edge And we, of course we say every day is kids' day and every day should be cyber security awareness day. And having the right supply chain in the right partner to And I think that's the holistic approach that we're taking with Dell. r and d and their, you mentioned supply chain processes to take that off And look, I think at Dell we've got the right strategy, we've got the right portfolio. Sam, always fun catching up with you. that and the mindset of, you know, the younger generation.

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Jeff Boudreau, Dell Technology Summit


 

>>Welcome back to the Cube's exclusive coverage of the Dell Technology Summit. I'm Dave Ante. We're going inside with Dell Execs to extract the signal from the noise. And right now we're gonna dig into customer requirements in a data intensive world and how cross cloud complexities get resolved from a product development perspective and how the ecosystem fits in to that mosaic to close the gaps and accelerate innovation. And with me now as friend of the cube, Jeff Boudreau, he's the president of the Infrastructure Solutions Group, ISG at Dell Technologies. Jeff, always good to see you. Welcome. >>You too. Thank you for having me. It's great to see you. And thanks for having me back on the cube. I'm thrilled to be here. Yeah, >>It's our pleasure. Okay, so let's talk about what you're observing from customers today. You know, we talk all the time about operating in a data driven multi-cloud world, blah, blah, blah, blah. But what does that all mean to you when you have to translate that noise into products that solve specific customer problems, Jeff? >>Sure. Hey, great question. And everything always starts with our customers. They're our motivation, They're top of mind, everything we do. My leadership team and I spend a lot of time with our customers. We're listening, we're learning, we're really understanding their pain points, and we want to get their feedback in regards to our solutions, both turn and future offerings, really ensure that we're aligned to meeting their business objectives. I would say from these conversations, I'd say customers are telling us several things. First, it's all about data. So no surprise going back to your opening. And second, it's about the multi-cloud world. And I'd say the big thing coming from all of this is that both of those are driving a ton of complexity for our customers. And I'll unpack that just a bit, which is first the data. As we all know, data is growing at unprecedented rates with more than 90% of the world's data being produced in the last two years alone. >>And you can just think of that in its everywhere, right? And so as it is, the IT world shifts towards distributed compute to support that data growth and that data gravity to really extract more value from that data in real time environments become inherently more and more hybrid and more and more multi-cloud. Which leads me to the second key point that I've been hearing from our customers, which it's a multi-cloud world, not new news. Customers by default have multiple clouds running across multiple locations. That's OnPrem and off, it's running at the edge and it's serving a variety of different needs. Unfortunately, for most of our CU customers, multicloud actually added to their complexity. As we've discussed, it's been a lot more of multi-cloud by default versus multicloud by design. If you really think about our customers, I mean, I, I, I'm talking to 'EM all the time. >>You think about the data complexity, that's the growth and the gravity. You think about their infrastructure complexity shifting from central to decentralized it, you think about multi-cloud complexity. So you have these walled gardens, if you will. So you have multiple vendors and you have these multiple contracts that all creates operational complexity for their teams around their processes of their tools. And then you think about the security complexity that that drives with the, just the increased tax service and the list goes on. So what are we seeing for our customers? They, what they really want from, also what they're asking us for is simplicity, not complexity. The mediacy, not latency. They're asking for open and align versus I'd say siloed and closed. And they're looking for a lot more agility and not rigidity in what we do. So they really wanna simplify everything. They're looking for a simpler IT in a more agile it, and they want more control of their data, right? >>And so, and they want to extract more of the value to enrich their business or their customer engagements, which all sounds pretty obvious and we've probably all heard it a bunch, but it's really hard to achieve. And that's where I believe, and we believe as Dell, that we, it creates a big opportunity for us to really help our customers as that great simplifier of it. We're already doing this today. Just a couple quick examples. First is Salesforce. We've supported recently, we've supported their global expansion with a multi-cloud solution to help them drive their business growth. Our solution delivered a reliable and consistent IT experience will go back to that complexity. And it was across a very distributed environment, including more than 60 data centers, 230 countries in hundreds of thousands of customers. It really provided Salesforce with the flexibility of placing workloads and data in an environment based on the right service level. >>Objective things like cost complexity or even security compliance considerations. The second customer A is a big new knowing little Patriot fan. And Dan, Dave, I know you are as well. Oh yeah, this one's near, near and data to my heart, it's the craft group. We just created a platform to span all their businesses that created more, I'd say data driven, immersive, secure experience, which is allowing them to capture data at the edge and use it for real time insights for things like cyber resiliency, but also like safety of the facilities. And as being a PA patron fan like I am, did they truly are meeting us where we are in our seats on their mobile devices and also in the parking lot. So just keep that in mind next time you're there. The bottom line, everything we're doing is really to make it simpler for our customers and to help them get the most of their data. I'd say we're gonna do this, is it through a multi-cloud by design approach, which we've talked a lot about with you and and others at Dell Tech world earlier this >>Year, right? And we had Salesforce on, actually at Dell Tech Group. The craft group is interesting because, you know, when you get to the stadium, you know, everybody's trying to get, get, get out to the internet and, and, but then the experience is so much better if you can actually, you know, deal with that edge. So I wanna talk about complexity though. You got data, you got, you know, the, the edge, you got multiple clouds, you got a different operating model across security model, different. So a lot of times in this industry we solve complexity with more complexity and it's like a bandaid. So I wanna, I wanna talk to, to how you're innovating around simplicity in ISG to address this complexity and what this means for Dell's long term strategy. >>Sure, I'd love to. So first I, I'd like to state the obvious, which are our investments in our innovations really focused on advancing, you know, our, our our customers needs, right? So we are really, our investments are gonna be targeted. We, we believe customers can have the most value. And some of that's gonna be around how we create strategic partnerships as well. Connecting to what we just spoke about. Much of the complexity of customers have or experiencing is the orchestration and management of all the data in all these different places. And customers, you know, they must be able to quickly deploy and operate across cloud environments. They need to increase their developer productivity, really enabling those developers that do what they do best, which is creating more value for their customers than for their businesses. Our innovation efforts are really focused on addressing this by delivering an open and modern IT architecture that allows customers to run and manage any workload in any cloud anywhere. >>Data lives we're focused on, also focused on consumption based solutions, which allow for a greater degree of simplicity and flexibility, which they're really asking for as well. The foundation for this is our software defined common storage layer. That common storage layer, You can think about this, Dave, as our ias if you will. It underpins our data access in mobility across all data types of locations. So you can think private, public, telecom, colo, edge, and it's delivered in a secure, holistic, and consistent cloud experience through Apex. We are making a ton of progress to let you, just to be, just to be clear, we made headway in things like Project Alpine, which you're very well aware of. This is our storage as a service. We announced us back in in January, which brings our unique software IP from our flagship storage platform to all the major public clouds. >>Really delivering the best of both worlds, allowing our customers to take advantage of Dell's enterprise class data services and storage software, such as performance at scale, resiliency, efficiency and security. But in addition to that, we're leveraging the breadth of the public cloud services, right? They're on demand scaling capabilities and access to analytical services. So in addition, we're really, we're, we're on our way to win at the edge as well with Project Frontier, which reduces complexity at the edge by creating an open and secure software platform to help our customers simplify their edge operations, optimize their edge environments and investments, secure that edge environment as well. I believe you're gonna be discussing Project Frontier here with Sam Broco in the very near future. So I won't give up more, too many more details there. And lastly, we're also scaling Apex, which, you know, well shifting from our vision, really shifting from vision to reality and introducing several new Apex service offerings, which are coming to market over the next month or so. And the intent is really supporting our customers on there as a service transitions by modernize the con consumption experience and providing that flexible as a service model. Ultimately, we're trying to help our customers achieve that multi-cloud by design to really simplify it in a, unlock the power of their data. >>So some good examples there. I I like to talk about the super Cloud as you, you know, you're building on top of the, you know, hyperscale infrastructure and you got Apex is your cloud, the common storage layer, you call it your ISAs. And that's, that's a ingredient in what we call the super cloud out to the edge. You have to have a common platform there and one of the hallmarks of a cloud company. And as you become a cloud company, everybody's a cloud company ecosystem becomes really, really important in terms of product development and, and innovation. Matt Baker always loves to stress it's not a zero sum game. And, and I think Super Cloud recognizes that, that there's value to be built on top of other clouds and, and, and of course on top of your infrastructure so that your ecosystem can add value. So what role does the ecosystem play there? >>For me, it's, it's pretty clear. It's, it's, it's critical. I can't say that enough above the having an open ecosystem. Think about everything we just discussed, and I agree with your super cloud analogy. I agree with what Matt Baker had said to you, I would assert no one company can actually address all the pain points and all the issues and challenges that customers are having on their own, not one. I think customers really want and deserve an open technology ecosystem, one that works together. So not these close stacks that discourage this interoperability or stifles innovation and productivity of our, of each of our teams. We Dell, I guess, have a long history of supporting open ecosystems that really put customers first. And to be clear, we're gonna be at the center of the multi-cloud ecosystem and we're working with partners today to make that a reality. >>I mean, just think of what we're doing with VMware. We continue to build on our first investment alliances with them in August at their VMware explorer, which I know you were at. We announced several joint engineering initiatives to really help customers more easily manage and gain value from their data in their infrastructure. For multi-cloud specifically, we strength our relationship with VMware and know with Tansu as part of that. In addition, just a few weeks ago we announced our partnership with Red Hat to simplify our multicloud deployments for managing containerized workloads. I'd say, and using your analogy, I could think of that as our multicloud platform. So that's kind of our PAs layer, if you will. And as you're aware, we have a very longstanding and strategic partnership with Microsoft and I'd say stay tuned. There's a lot more to come with them and also others in this multi-cloud space. >>Shifting a bit to some of the growth engines that my team's responsible for the edge, right? As you think about data being everywhere, we've established partnerships for the Edge as well with folks like PTC and Litmus for the manufacturing edge, but also folks like Deep North for the retail edge analytics in data management, using your Supercloud analogy data, the sa right? This is our SAS layer. We've announced that we're collaborating, partnering with folks like Snowflake and, and there's other data management companies as well to really simplify data access and accelerate those data insights. And then given customers choice of where they'd like to have their IT and their infrastructure, we've we're expanding our colo partnerships as well with folks like Equinox and, and they're allowing us to broaden our availability of Apex, providing customers the flexibility to take advantage of those as a service offerings wherever it's delivered and where they can get the most value. So those are just some you can hear from me. I think it's critical not only for, for us, I think it's critical for our customers. I think it's been critical, critical for the entire, you know, industry as a whole to really have that open technology ecosystem as we work with our customers on our multi-cloud solutions really to meet their needs. We'll continue to collaborate with whoever customers choose and you know, and who they want us to do business with. So I'd say a lot more coming in that space. >>So it's been an interesting three years for you, just, just over three years now since you've been made the president of the IS isg. And so you had to dig in and it was obviously strange time around the world, but, but you really had to look at, okay, how do we modernize the platform? How do we make it, you know, cloud first? You've mentioned the Edge, we're expanding. So what are the big takeaways? What do you want customers and our audience to understand? Just some closing thoughts and if you could summarize. >>Sure. So I'd say first, you know, we discuss, we're working in a very fast paced, ever changing market with massive amounts of data that needs to be managed. It's very complex and our customers need help with that complexity. I believe that Dell Technologies is uniquely positioned to help as their multi-cloud champion. No one else can solve the breadth and depth of the challenges like we can. And we're gonna help our customers move forward when they basically moving from a multi-cloud by default, as we've discussed before, to multicloud by design. And I'm really excited for the opportunity to work with our customers to help them expand that ecosystem as they truly realize the future of it and, and what they're trying to accomplish. >>Jeff, thanks so much. Really appreciate your time. Always a pleasure. Go pats and we'll see you on the blog. >>Thanks Dave. >>All right, you're watching Exclusive Inside Insights from Dell Technology Summit on the cube, your leader in enterprise and emerging tech coverage.

Published Date : Oct 13 2022

SUMMARY :

how the ecosystem fits in to that mosaic to close the gaps and accelerate And thanks for having me back on the cube. But what does that all mean to you when you have to translate And I'd say the big thing coming from all of this is that both of those are driving And you can just think of that in its everywhere, right? from central to decentralized it, you think about multi-cloud complexity. And so, and they want to extract more of the value to enrich their business or their customer engagements, And Dan, Dave, I know you are as well. So a lot of times in this industry we solve complexity with more complexity So first I, I'd like to state the obvious, which are our investments in So you can think private, public, So in addition, we're really, we're, we're on our way to win at the edge as well with And as you become a cloud company, I can't say that enough above the having We continue to build on our first investment alliances with I think it's been critical, critical for the entire, you around the world, but, but you really had to look at, okay, how do we modernize the platform? And I'm really excited for the opportunity to work with our customers to help them expand that ecosystem as Go pats and we'll see you All right, you're watching Exclusive Inside Insights from Dell Technology Summit on the cube,

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Tom Sweet, Dell Technology Summit


 

>>As we said in our analysis of Dell's future, the transformation of Dell into Dell emc and now Dell Technologies has been one of the most remarkable stories in the history of the technology industry. After years of successfully integrated EMC and becoming VMware's number one distribution channel, the metamorphosis of Dell com culminated in the spin out of VMware from Dell and a massive wealth creation milestone pending, of course the Broadcom acquisition of VMware. So where's that leave Dell and what does the future look like for this technology powerhouse? Hello and welcome to the Cube's exclusive coverage of Dell Technology Summit 2022. My name is Dave Ante and I'll be hosting the program today in conjunction with the Dell Tech Summit. We'll hear from four of Dell senior executives. Tom Sweet is the CFO of Dell. Technologies's gonna share his views of the company's position and opportunities and answer the question, why is Dell good long term investment? >>Then we'll hear from Jeff Boudreau, who's the president of Dell's ISG business unit, who's gonna talk about the product angle and specifically how Dell is thinking about solving the multi-cloud challenge. And then Sam GrowCo is the senior vice President of marketing. He's gonna come in the program and give us the update on Apex, which is Dell's as a service offering and a new edge platform called Project Frontier. By the way, it's also Cybersecurity Awareness Month, and we're gonna see if Sam has any stories there. And finally, for a company that's nearly 40 years old, Dell has some pretty forward thinking philosophies when it comes to its culture and workforce. And we're gonna speak with Jen Savira, who's Dell's chief Human Resource officer about hybrid work and how Dell is thinking about the future of work. We're gonna geek out all day and talk multi-cloud and edge and latency, but first, let's talk wallet. Tom Sweet cfo, and one of Dell's key business architects. Welcome back to the >>David, It's good to see you and good to be back with you. So thanks for having me. >>Yeah, you bet. So Tom, it's been a pretty incredible past 18 months. Not only the pandemic and all that craziness, but the VMware spin, you had to give up your gross margin. Pinky as kidding. And, and of course the macro environment. I'm so sick of talking about the macro, but putting that aside for a moment, what's really remarkable is that for a company at your size, you've had some success at the top line, which I think surprised a lot of people. What are your reflections on the last 18 to 24 months? >>Well, Dave, it's been an incredible, not only last 18 months, but the whole transformation journey. If you think all the way back maybe to the LBO and forward from there, but, you know, stepping into the last 18 months, it's, you know, I, I think I remember talking with you and saying, Hey, you know, the scenario planning we did at the beginning of this pandemic journey was, you know, 30 different scenarios roughly, and none of which sort of panned out the way it actually did, which was a pretty incredible growth story as we think about how we helped customers, you know, drive workforce productivity, enable their business model during the all remote work environment. That was the pandemic created. And couple that with the, you know, the, the rise then in the infrastructure spin as we got towards the tail end of the, of the pandemic coupled with, you know, the spin out of VMware, which culminated last November, as you know, as we completed that, which unlocked a pathway back to investment grade within unlocked, quite frankly, shareholder value, capital allocation frameworks. It's really been a remarkable, you know, 18, 24 months. It's, it's never dull at Dell Technologies, Let me put it that way. >>Well, well, I was impressed with you, Tom, before the leverage buyout and then what I've seen you guys navigate through is, is, is truly amazing. Well, let's talk about the challenging macro. I mean, I've been through a lot of downturns, but I've never seen anything quite like this with fed tightening and you're combating inflation, you got this recession looming, there's a bear market you got, but you got zero unemployment, you're rising wages, strong dollar, and it's very confusing. But it spending is, you know, it's somewhat softer, but it's still not bad. How are you seeing customers behave? How is Dell responding? >>Yeah, look, if you think about the markets we play in Dave, and we should start there as a grounding, you know, the, the total market, the core market that we think about is roughly 700 and, you know, $50 billion or so. If you think about our core IT services capability, you couple that with some of the, the growth initiatives that we're driving and the adjacent markets that that, that brings in, you're roughly talking a 1.4 to $1.5 trillion market opportunity, total addressable market. And so from, from that perspective, we're extraordinarily bullish on where are we in the journey as we continue to grow and expand. You know, we have, we're number one share in just about every category that we plan, but yet when you look at that, you know, number one share in some of these, you know, our highest share position may be, you know, low thirties and maybe in the high end of storage you're at the upper end of thirties or 40%. >>But the opportunity there to continue to expand the core and, and continue to take share and outperform the market is truly extraordinary. So, so you step back and think about that, then you say, okay, what have we seen over the last number of months and quarters? It's been, you know, really great performance through the pandemic as, as you highlighted, we actually had a really strong first half of the year of our fiscal year 23 with revenue up 12% operating income up 12% for the first half. You know, what we talked about as you, if you might recall in our second quarter earnings, was the fact that we were starting to see softness. We had seen it in the consumer PC space, which is not a big area of focus for us in the sense of our, our total revenue stream, But we started to see commercial PC soften and we were starting to see server demand soften a bit and storage demand was, was holding quite frankly. >>And so we gave a a framework around guidance for the rest of the year as a result of what we were seeing. You know, the macro environment as you highlight it continues to be challenging. You know, you, if you look at inflation rates and the efforts by central banks across the globe to with through interest rate rise to press down and, and constrain growth and push down inflation, you couple that with supply chain challenges that continue principle, particularly in the ISG space. And then you couple that with the Ukraine war and the energy crisis that that's created. And particularly in Europe, it's a pretty dynamic environment. And, but I'm confident, you know, I'm confident in the long term, but I do think that there is, you know, that there's navigation that we're going to have to do over the coming number of quarters, who knows quite how long, you know, to, to make sure the business is properly positioned and, you know, we've got a great portfolio and you're gonna talk to some of the team LA later on as you think your way through some of the solution capabilities we're driving what we're seeing around technology trends. >>So the opportunities there, there's some short term navigation that we're gonna need to do just to make sure that we address some of the, you know, some of the environmental things that we're seeing right >>Now. Yeah. And as a global company, of course you're converting current local currencies back to appreciated dollars. That's, that's, that's another headwind. But as you say, I mean, that's math and you're navigating it. And again, I've seen a lot of downturns, but you know, the best companies not only weather the storm, but they invest in ways they that allow them to cut out, come out the other side stronger. So I wanna talk about that longer term opportunity, the relationship between the core, the the business growth. You mentioned the tam, I mean, even, even as a lower margin business, if, if you can penetrate that big of a tam, you could still throw off a lot of cash and you've got other levers to turn in potentially acquisitions and software. And, but so ultimately what gives you confidence in Dell's future? How should we think about Dell's future? >>Yeah, look, I, I think it comes down to we are extraordinarily excited about the opportunity over the long term digital transformation continues. I I, I am on numerous customer and CIO calls every week. Customers are continuing to invest in digital transformation in infrastructure to enable their business model. Yes, maybe it's gonna slow or, or pause or maybe they're not gonna invest quite at the same rate over the next number of quarters, but over the long term the needs are there. You look at what we're doing around the, the growth opportunities that we see, not only in our core space where we continue to invest, but also in the, what we call the strategic adjacencies. Things like 5G and modern telecom infrastructure as our, the telecom providers across the globe open up their, what a cl previous been closed ecosystems, you know, to open architecture. You think about, you know, what we're doing around the edge and the distribution now that we're seeing of compute and storage back to the edge given data gravity and latency matters. >>And so we're pretty bullish on the opportunity in front of us, you know, yes, we will, We're continuing to invest. And you Jeff Boudreau talk about that I think later on in the program. So I'm excited about the opportunities and you look at our cash flow generation capability, you know, we are in, in, in normal times a, a cash flow generation machine and we'll continue to do so. You know, we've got a negative, you know, CCC in terms of, you know, how do we think about efficiency of working capital? And we look at our, you know, our capital allocation strategy, which has now returned, you know, somewhere in near 60% of our free cash flow back to shareholders. And so, you know, there's lots to, lots of reasons to think about why this, you know, we are a great sort of, I think, value creation opportunity in a over the long term that the long term trends are with us, and I expect them to continue to be so, >>Yeah, and you guys, you, you, you do what you say you're gonna do. I mean, I said in my, in my other piece that I did recently, I think you guys put 46 billion on the, on the, on the balance sheet in terms of debt. That's down to I think 16 billion in the core, which that's quite remarking. That gives you some other opportunities. Give us your, your closing thoughts. I mean, you kind of just addressed why Dell is a good long term play, but I'll give you an opportunity to bring us home. >>Hey, Dave. Yeah, look, I, I just think if you look at the gr the market opportunity, the size and scale of Dell and how we think about the competitive advantages that we have, we com you know, if you look at, say we're a hundred billion revenue company, which we were a year, you know, last year, that as we reported roughly 60, 65 billion of that in the client and in PC space, roughly, you know, 35 to 40 billion in the ISG or infrastructure space, those markets are gonna continue the opportunity to grow, share, grow at a premium to the market, drive, cash flow, drive, share, gain is clearly there. You couple that with, you know, what we think the opportunity is in these adjacent markets, whether it's telecom, the edge, what we're thinking around data services, data management, you know, we, and you cut, you put that together with the long term trends around, you know, data creation and digital transformation. We are extraordinarily well positioned. We have the largest direct selling organization in, in the technology space. We have the largest supply chain, our services footprint, you know, well positioned in my mind to take advantage of the opportunities as we move forward. >>Well, Tom, really appreciate you taking the time to speak with us. Good to see you again. >>Nice seeing you. Thanks Dave. >>All right. You're watching the Cube's exclusive behind the scenes coverage of Dell Technology Summit 2022. In a moment, I'll be back with Jeff Boudreau. He's the president of Dell's ISG Infrastructure Solutions Group. He's responsible for all the important enterprise business at Dell and we're excited to get his thoughts, keep it right there.

Published Date : Oct 13 2022

SUMMARY :

Dell Technologies has been one of the most remarkable stories in the history of the technology industry. He's gonna come in the program and give us the update on Apex, which is Dell's as a service offering and David, It's good to see you and good to be back with you. all that craziness, but the VMware spin, you had to give up your gross margin. stepping into the last 18 months, it's, you know, I, I think I remember talking with you and But it spending is, you know, it's somewhat softer, but it's still not bad. grounding, you know, the, the total market, the core market that we think about is roughly It's been, you know, really great performance through the pandemic as, You know, the macro environment as you highlight it continues to be challenging. And again, I've seen a lot of downturns, but you know, the best companies not only weather the storm, You think about, you know, what we're doing around the edge and the distribution you know, our capital allocation strategy, which has now returned, you know, somewhere in near Yeah, and you guys, you, you, you do what you say you're gonna do. the edge, what we're thinking around data services, data management, you know, Well, Tom, really appreciate you taking the time to speak with us. Nice seeing you. He's responsible for all the important enterprise business at Dell and we're excited to get his thoughts,

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Breaking Analysis Analyst Take on Dell


 

>>The transformation of Dell into Dell emc. And now Dell Technologies has been one of the most remarkable stories in the history of the enterprise technology industry. The company has gone from a Wall Street darling rocket ship PC company to a Midling enterprise player, forced to go private to a debt laden powerhouse that controlled one of the most valuable assets in enterprise tech i e VMware, and now is a hundred billion dollar giant with a low margin business. A strong balance sheet in the broadest hardware portfolio in the industry and financial magic that Dell went through would make anyone's head spin. The last lever of Dell EMC of the Dell EMC deal was detailed in Michael Dell's book Play Nice But Win in a captivating chapter called Harry You and the Bolt from the Blue Michael Dell described how he and his colleagues came up with the final straw of how to finance the deal. >>If you haven't read it, you should. And of course, after years of successfully integrating EMC and becoming VMware's number one distribution channel, all of this culminated in the spin out of VMware from Dell and a massive wealth creation milestone pending, of course the Broadcom acquisition of VMware. So where's that leave Dell and what does the future look like for this technology powerhouse? Hello and welcome to the Cube's exclusive coverage of Dell Technology Summit 2022. My name is Dave Ante and I'll be hosting the program. Now today in conjunction with the Dell Tech Summit, we're gonna hear from four of Dell's senior executives, Tom Sweet, who's the CFO of Dell Technologies. He's gonna share his views on the company's position and opportunities going forward. He's gonna answer the question, why is Dell a good long-term investment? Then we'll hear from Jeff Boudreau, who's the president of Dell's ISG business. >>That unit is the largest profit driver of Dell. He's gonna talk about the product angle and specifically how Dell is thinking about solving the multi-cloud challenge. And then Sam Groot, who is the senior vice president of marketing, will come on the program and give us the update on Apex, which is Dell's as a service offering, and then the new Edge platform called Project Frontier. Now it's also cyber security Awareness month that we're gonna see if Sam has, you know, anything to say about that. Then finally, for a company that's nearly 40 years old, Dell actually has some pretty forward thinking philosophies when it comes to its culture and workforce. And we're gonna speak with Jen Vera, who's Dell's chief Human Resource Resource Officer about hybrid work and how Dell is thinking about the future of work. However, before we get into all this, I wanna share our independent perspectives on the company and some research that we'll introduce to frame the program. >>Now, as you know, we love data here at the cube and one of our partners, ETR has what we believe is the best spending intentions data for enterprise tech. So here's a graphic that shows ET R'S proprietary net score methodology in the vertical access. That's a measure of spending velocity. And on the X axis, his overlap of pervasiveness in the data sample, this is a cut for just the server, the storage, and the client sectors within the ETR taxonomy. So you can see Dell CSG products, laptops in particular are dominant on both the X and the Y dimensions. CSG is the client solutions group and accounts for nearly 60% of Dell's revenue and about half of its operating income. And then the arrow signifies that dot, that represents Dell's ISG business that we're gonna talk to Jeff Boudro about. That's the infrastructure solutions group. Now, ISG accounts for the bulk of of the remainder of Dell's business, and it is, it's, as I said, it's most profitable from a margin standpoint. >>It comprises the EMC storage business as well as the Dell server business and Dell's networking portfolio. And as a note, we didn't include networking in that cut had we done. So Cisco would've dominated the graphic. And frankly, Dell's networking business isn't industry leading in the same way that PCs, servers and storage are. And as you can see, the data confirms the leadership position Dell has in its client side, its server and its storage sectors. But the nuance is look at that red dotted line at 40% on the vertical axis that represents a highly elevated net score, and every company in the sector is below that line. Now we should mention that we also filtered the data for those companies with more than a hundred mentions in the survey, but the point remains the same. This is a mature business that generally is lower margin storage is the exception, but cloud has put pressure on margins even in that business in addition to the server space. >>The last point on this graphic is we put a box around VMware and it's prominently present on both the X and Y dimensions. VMware participates with purely software defined high margin offerings in this, in these spaces, and it gives you a sense of what might have been had Dell chosen to hold onto that asset or spin it into the company. But let's face it, the alternatives from Michael Dell were just too attractive and it's unlikely that a spin in would've unlocked the value in the way a spinout did, at least not in the near future. So let's take a look at the snapshot of Dell's financials. To give you a sense of where the company stands today, Dell is a company with over a hundred billion in revenue. Last quarter, it did more than 26 billion in revenue and grew at a quite amazing 9% rate for a company that size. >>But because it's a hardware company, primarily its margins are low with operating income, 10% of revenue, and at 21% gross margin with VMware on Dell's income statement before the spin, its gross margins. Were in the low thirties. Now, Dell only spends about 2% of revenue on r and d because because it's so big, it's still a lot of money. And you can see it is cash flow positive. Dell's free cash flow over the trailing 12 month period is 3.7 billion, but that's only 3.5% of trailing 12 month revenue. Dell's Apex, and of course it's hardware maintenance business is recurring revenue and that is only about 5 billion in revenue and it's growing at 8% annually. Now having said that, it's the equivalent of service now's total revenue. Of course, service now is 23% operating margin and 16% free cash flow margin and more than 5 billion in cash on the balance sheet and an 85 billion market cap. >>That's what software will do for you. Now Dell, like most companies, is staring at a challenging macro environment with FX headwinds, inflation, et cetera. You've heard the story and hence it's conservative and contracting revenue guidance. But the balance sheet transformation has been quite amazing. Thanks to VMware's cash flow, Michael Dell and his partners from Silver Lake at all, they put up around $4 billion of their own cash to buy EMC for 67 billion, and of course got VMware in the process. Most of that financing was debt that Dell put on its balance sheet to do the transaction to the tune of 46 billion. It added to the, to the balance sheet debt. Now Dell's debt, the core debt net of its financing operation is now down to 16 billion and it has 7 billion in cash in the balance sheet. So dramatic delta from just a few years ago. So pretty good picture. >>But Dell a hundred billion company is still only valued at 28 billion or around 26 cents on the revenue dollar H HP's revenue multiple is around 60 cents on the revenue dollar. HP Inc. Dell's, you know, laptop and PC competitor is around 45 cents. IBM's revenue multiple is almost two times. By the way, IBM has more than 50 billion in debt thanks to the Red Hat acquisition. And Cisco has a revenue multiple, it's over three x, about 3.3 x currently. So is Dell undervalued? Well, based on these comparisons with its peers, I'd say yes and no. Dell's performance relative to its peers in the market is very strong. It's winning and has an extremely adept go to market machine, but it's lack of software content and it's margin profile leads. One to believe that if it can continue to pull some valuation levers while entering new markets, it can get its valuation well above where it is today. >>So what are some of those levers and what might that look like going forward? Despite the fact that Dell doesn't have a huge software revenue component since spinning out VMware and it doesn't own a cloud, it plays in virtually every part of the hardware market and it can provide infrastructure for pr pretty much any application in any use case and pretty much any industry and pretty much any geography in the world and it can serve those customers. So its size is an advantage. However, the history for hardware heavy companies that try to get bigger has some notable failures, namely hp, which had to split into two businesses, HP Inc. And hp E and ibm, which has had in abysmal decade from a performance standpoint and has had to shrink to grow again and obviously do a massive 34 billion acquisition of Red Hat. So why will Dell do any better than these two? >>Well, it has a fantastic supply chain. It's a founder led company, which makes a cultural difference in our view, and it's actually comfortable with a low margin software, light business model. Most certainly, IBM wasn't comfortable with that and didn't have these characteristics, and HP was kind of just incomprehensible at the end. So Dell in my opinion, is a much better chance of doing well at a hundred billion or over, but we'll see how it navigates through the current headwinds as it's guiding down. Apex is essentially Dell's version of the cloud. Now remember, Dell got started late. HPE is further along from a model standpoint with GreenLake, but Dell has a larger portfolio, so they're gonna try to play on that advantage. But at the end of the day, these as a service offerings are simply ways to bring a utility model to existing customers and generate recurring revenue. >>And that's a good thing because customers will be loyal to an incumbent if it can deliver as a service and reduce risk for for customers. But the real opportunity lies ahead, specifically Dell is embracing the cloud model. It took a while, but they're on board as Matt Baker Dell's senior vice president of corporate strategy likes to say it's not a zero sum game. What it means by that is just because Dell doesn't own its own cloud, it doesn't mean Dell can't build value on top of hyperscale clouds, what we call super cloud. And that's Dell's strategy to take advantage of public cloud CapEx and connect on-prem to the cloud, create a unified experience across clouds and out to the edge that's ambitious and technically it's non-trivial. But listen to Dell's vice chairman and Coco, Jeff Clark, explain this vision, please play the clip. >>You said also technology and business models are tied together and enabler. That's if, if you believe that, then you have to believe that it's a business operating system that they want, They want to leverage whatever they can, and at the end of the day there's, they have to differentiate what they do. Well that, that's >>Exactly right. If I take that and what, what Dave was saying and and I, and I summarize it the following way, if we can take these cloud assets and capabilities, combine them in an orchestrated way to delivery a distributed platform, game over, >>Eh, pretty interesting, right? John Freer called it a business operating system. Essentially, I think of it sometimes as a cloud operating system or cloud operating environment to drive new business value on top of the hyperscale CapEx. Now, is it really game over? As Jeff Clark said, if Dell can do that, I'd say if it had that today, it might be game over for the competition, but this vision will take years to play out. And of course it's gotta be funded and now it's gonna take time. And in this industry it tends to move. Companies tend to move in lockstep. So as often as the case, it's gonna come down to execution and Dell's ability to enter new markets that are ideally, at least from my perspective, higher margin data management, extending data protection into cyber security as an adjacency and of course edge at telco slash 5G opportunities. >>All there for the taking. I mean, look, even if Dell doesn't go after more higher margin software content, it can thrive with a lower margin model just by penetrating new markets and throwing off cash from those markets. But by keeping close to customers and maybe through Tuck in acquisitions, it might be able to find the next nugget beyond today's cloud and on-prem models. And the last thing I'll call out is ecosystem. I say here ecosystem, ecosystem, ecosystem. Because a defining characteristic of a cloud player is ecosystem, and if Apex is Dell's cloud, it has the opportunity to expand that ecosystem dramatically. This is one of the company's biggest opportunities and challenges. At the same time, in my view, it's just scratching the surface on its partner ecosystem. And it's ecosystem today is is both reseller heavy and tech partner heavy. And that's not a bad thing, but in a, but it's starting to evolve more rapidly. >>The snowflake deal is an example of up to stack evolution, but I'd like to see much more out of that snowflake relationship and more relationships like that. Specifically I'd like to see more momentum with data and database. And if we live at a data heavy world, which we do, where the data and the database and data management offerings, you know, coexist and are super important to customers, like to see that inside of Apex, like to see that data play beyond storage, which is really where it is today and it's early days. The point is with Dell's go to market advantage, which which company wouldn't treat Dell like the on-prem hybrid edge super cloud player that I wanna partner with to drive more business. You'd be crazy not to, but Dell has a lot on its plate and we'd like to see some serious acceleration on the ecosystem front. In other words, Dell as both a selling partner and a business enabler with its platform, its programmable infrastructure as a service. And that is a moving target that will rapidly involve. And of course we'll be here watching and reporting. So thanks for watching this preview of Dell Technology Summit 2022. I'm Dave Vte. We hope you enjoy the rest of the program.

Published Date : Oct 13 2022

SUMMARY :

The last lever of Dell EMC of the Dell EMC deal was detailed He's gonna answer the question, why is Dell a good long-term investment? He's gonna talk about the product angle and specifically how Dell is thinking about solving And on the X axis, his overlap of pervasiveness in the This is a mature business that generally is lower margin storage is the exception, So let's take a look at the snapshot of Dell's financials. it's the equivalent of service now's total revenue. and of course got VMware in the process. around 26 cents on the revenue dollar H HP's revenue multiple is around 60 cents the fact that Dell doesn't have a huge software revenue component since spinning out VMware But at the end of the day, these as a service offerings are simply ways to bring a utility model But the real opportunity lies ahead, That's if, if you believe that, then you have to believe that it's a business operating system that If I take that and what, what Dave was saying and and I, and I summarize it the following way, So as often as the case, it's gonna come down to execution and Dell's ability to enter new and if Apex is Dell's cloud, it has the opportunity to expand that ecosystem Specifically I'd like to see more momentum with data and database.

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Breaking Analysis: Analyst Take on Dell


 

(upbeat music) >> The transformation of Dell into Dell EMC, and now Dell Technologies, has been one of the most remarkable stories in the history of the enterprise technology industry. The company has gone from a Wall Street darling rocketship PC company, to a middling enterprise player, forced to go private, to a debt-laden powerhouse that controlled one of the most valuable assets in enterprise tech, i.e., VMware. And now is a $100 billion dollar giant with a low-margin business, a strong balance sheet, and the broadest hardware portfolio in the industry. The financial magic that Dell went through would make anyone's head spin. The last lever of the Dell EMC deal was detailed in Michael Dell's book "Play Nice But Win," in a captivating chapter called "Harry You and the Bolt from the Blue." Michael Dell described how he and his colleagues came up with the final straw of how to finance the deal. If you haven't read it, you should. And of course, after years of successfully integrating EMC and becoming VMware's number-one distribution channel, all of this culminated in the spin-out of VMware from Dell, and a massive wealth-creation milestone, pending, of course, the Broadcom acquisition of VMware. So where's that leave Dell, and what does the future look like for this technology powerhouse? Hello, and welcome to theCUBE's exclusive coverage of Dell Technologies Summit 2022. My name is Dave Vellante, and I'll be hosting the program. Now, today in conjunction with the Dell Tech Summit, we're going to hear from four of Dell's senior executives. Tom Sweet, who's the CFO of Dell Technologies. He's going to share his views on the company's position and opportunities going forward. He's going to answer the question, why is Dell a good long-term investment? Then we'll hear from Jeff Boudreau, who's the President of Dell's ISG business. That unit is the largest profit driver of Dell. He's going to talk about the product angle, and specifically, how Dell is thinking about solving the multi-cloud challenge. And then Sam Grocott, who's the Senior Vice President of Marketing, will come on the program and give us the update on APEX, which is Dell's as-a-Service offering, and then the new edge platform called Project Frontier. Now, it's also Cybersecurity Awareness Month, that we're going to see if Sam has, you know, anything to say about that. Then finally, for a company that's nearly 40 years old, Dell actually has some pretty forward-thinking philosophies when it comes to its culture and workforce. And we're going to speak with Jenn Saavedra, who's Dell's Chief Human Resource Officer, about hybrid work, and how Dell is thinking about the future of work. However, before we get into all this, I want to share our independent perspectives on the company, and some research that we'll introduce to frame the program. Now, as you know, we love data here at theCUBE, and one of our partners, ETR, has what we believe is the best spending intentions data for enterprise tech. So here's a graphic that shows ETR's proprietary Net Score methodology on the vertical axis, that's a measure of spending velocity, and on the x-axis is overlap or pervasiveness in the data sample. This is a cut for just the server, the storage, and the client sectors within the ETR taxonomy. So you can see Dell's CSG products, laptops in particular, are dominant on both the x and the y dimensions. CSG is the Client Solutions Group, and accounts for nearly 60% of Dell's revenue, and about half of its operating income. And then the arrow signifies that dot that represents Dell's ISG business, that we're going to talk to Jeff Boudreau about. That's the Infrastructure Solutions Group. Now, ISG accounts for the bulk of the remainder of Dell's business, and it is its, as I said, its most profitable from a margin standpoint. It comprises the EMC storage business, as well as the Dell server business, and Dell's networking portfolio. And as a note, we didn't include networking in that cut. Had we done so, Cisco would've dominated the graphic. And frankly, Dell's networking business isn't industry leading in the same way that PCs, servers, and storage are. And as you can see, the data confirms the leadership position Dell has in its client side, its server, and its storage sectors. But the nuance is, look at that red dotted line at 40% on the vertical axis. That represents a highly elevated Net Score, and every company in the sector is below that line. Now, we should mention that we also filtered the data for those companies with more than a hundred mentions in the survey, but the point remains the same. This is a mature business that generally is lower margin. Storage is the exception, but cloud has put pressure on margins even in that business, in addition to the server space. The last point on this graphic is, we put a box around VMware, and it's prominently present on both the x and y dimensions. VMware participates with purely software-defined high-margin offerings in these spaces, and it gives you a sense of what might have been, had Dell chosen to hold onto that asset or spin it into the company. But let's face it, the alternatives for Michael Dell were just too attractive, and it's unlikely that a spin-in would've unlocked the value in the way a spin-out did, at least not in the near future. So let's take a look at the snapshot of Dell's financials, to give you a sense of where the company stands today. Dell is a company with over $100 billion dollars in revenue. Last quarter, it did more than 26 billion in revenue, and grew at a quite amazing 9% rate, for a company that size. But because it's a hardware company, primarily, its margins are low, with operating income 10% of revenue, and at 21% gross margin. With VMware on Dell's income statement before the spin, its gross margins were in the low 30s. Now, Dell only spends about 2% of revenue on R&D, but because it's so big, it's still a lot of money. And you can see it is cash-flow positive. Dell's free cash flow over the trailing 12-month period is 3.7 billion, but that's only 3.5% of trailing 12-month revenue. Dell's APEX, and of course its hardware maintenance business, is recurring revenue, and that is only about 5 billion in revenue, and it's growing at 8% annually. Now, having said that, it's the equivalent of ServiceNow's total revenue. Of course, ServiceNow has 23% operating margin and 16% free cash-flow margin, and more than $5 billion in cash on the balance sheet, and an $85 billion market cap. That's what software will do for you. Now Dell, like most companies, is staring at a challenging macro environment, with FX headwinds, inflation, et cetera. You've heard the story. And hence it's conservative, and contracting revenue guidance. But the balance sheet transformation has been quite amazing, thanks to VMware's cash flow. Michael Dell and his partners from Silver Lake et al., they put up around $4 billion of their own cash to buy EMC for 67 billion, and of course got VMware in the process. Most of that financing was debt that Dell put on its balance sheet to do the transaction, to the tune of $46 billion it added to the balance sheet debt. Now, Dell's debt, the core debt, net of its financing operation, is now down to 16 billion, and it has $7 billion in cash on the balance sheet. So a dramatic delta from just a few years ago. So, pretty good picture. But Dell, a $100 billion company, is still only valued at 28 billion, or around 26 cents on the revenue dollar. HPE's revenue multiple is around 60 cents on the revenue dollar. HP Inc., Dell's laptop and PC competitor, is around 45 cents. IBM's revenue multiple is almost two times. By the way, IBM has more than $50 billion in debt thanks to the Red Hat acquisition. And Cisco has a revenue multiple that's over 3x, about 3.3x currently. So is Dell undervalued? Well, based on these comparisons with its peers, I'd say yes, and no. Dell's performance, relative to its peers in the market, is very strong. It's winning, and has an extremely adept go-to-market machine, but its lack of software content and its margin profile leads one to believe that if it can continue to pull some valuation levers while entering new markets, it can get its valuation well above where it is today. So what are some of those levers, and what might that look like, going forward? Despite the fact that Dell doesn't have a huge software revenue component since spinning out VMware, and it doesn't own a cloud, it plays in virtually every part of the hardware market. And it can provide infrastructure for pretty much any application in any use case, in pretty much any industry, in pretty much any geography in the world. And it can serve those customers. So its size is an advantage. However, the history for hardware-heavy companies that try to get bigger has some notable failures, namely HP, which had to split into two businesses, HP Inc. and HPE, and IBM, which has had an abysmal decade from a performance standpoint, and has had to shrink to grow again, and obviously do a massive $34 billion acquisition of Red Hat. So why will Dell do any better than these two? Well, it has a fantastic supply chain. It's a founder-led company, which makes a cultural difference, in our view. And it's actually comfortable with a low-margin software-light business model. Most certainly, IBM wasn't comfortable with that, and didn't have these characteristics, and HP was kind of just incomprehensible at the end. So Dell in my opinion, has a much better chance of doing well at 100 billion or over, but we'll see how it navigates through the current headwinds as it's guiding down. APEX is essentially Dell's version of the cloud. Now, remember, Dell got started late. HPE is further along from a model standpoint with GreenLake, but Dell has a larger portfolio, so they're going to try to play on that advantage. But at the end of the day, these as-a-Service offerings are simply ways to bring a utility model to existing customers, and generate recurring revenue. And that's a good thing, because customers will be loyal to an incumbent if it can deliver as-a-Service and reduce risk for customers. But the real opportunity lies ahead. Specifically, Dell is embracing the cloud model. It took a while, but they're on board. As Matt Baker, Dell's Senior Vice President of Corporate Strategy, likes to say, it's not a zero-sum game. What he means by that is, just because Dell doesn't own its own cloud, it doesn't mean Dell can't build value on top of hyperscale clouds. What we call supercloud. And that's Dell's strategy, to take advantage of public cloud capex, and connect on-prem to the cloud, create a unified experience across clouds, and out to the edge. That's ambitious, and technically it's nontrivial. But listen to Dell's Vice Chairman and Co-COO, Jeff Clarke, explain this vision. Please play the clip. >> You said also, technology and business models are tied together, and an enabler. >> That's right. >> If you believe that, then you have to believe that it's a business operating system that they want. They want to leverage whatever they can, and at the end of the day, they have to differentiate what they do. >> Well, that's exactly right. If I take that and what Dave was saying, and I summarize it the following way: if we can take these cloud assets and capabilities, combine them in an orchestrated way to deliver a distributed platform, game over. >> Eh, pretty interesting, right? John Furrier called it a "business operating system." Essentially, I think of it sometimes as a cloud operating system, or cloud operating environment, to drive new business value on top of the hyperscale capex. Now, is it really game over, as Jeff Clarke said, if Dell can do that? Uh, (sucks in breath) I'd say if it had that today, it might be game over for the competition, but this vision will take years to play out. And of course, it's got to be funded. And that's going to take time, and in this industry, it tends to move, companies tend to move in lockstep. So, as often is the case, it's going to come down to execution and Dell's ability to enter new markets that are ideally, at least from my perspective, higher margin. Data management, extending data protection into cybersecurity as an adjacency, and of course, edge and telco/5G opportunities. All there for the taking. I mean, look, even if Dell doesn't go after more higher-margin software content, it can thrive with a lower-margin model just by penetrating new markets and throwing off cash from those markets. But by keeping close to customers, and maybe through tuck-in acquisitions, it might be able to find the next nugget beyond today's cloud and on-prem models. And the last thing I'll call out is ecosystem. I say here, "Ecosystem, ecosystem, ecosystem," because a defining characteristic of a cloud player is ecosystem, and if APEX is Dell's cloud, it has the opportunity to expand that ecosystem dramatically. This is one of the company's biggest opportunities and challenges at the same time, in my view. It's just scratching the surface on its partner ecosystem. And its ecosystem today is both reseller heavy and tech partner heavy. And that's not a bad thing, but it's starting to evolve more rapidly. The Snowflake deal is an example of up-the-stack evolution, but I'd like to see much more out of that Snowflake relationship, and more relationships like that. Specifically, I'd like to see more momentum with data and database. And if we live in a data-heavy world, which we do, where the data and the database and data management offerings, you know, coexist and are super important to customers, I'd like to see that inside of APEX. I'd like to see that data play beyond storage, which is really where it is today, in its early days. The point is, with Dell's go-to-market advantage, which company wouldn't treat Dell like the on-prem, hybrid, edge, supercloud player that I want to partner with to drive more business? You'd be crazy not to. But Dell has a lot on its plate, and we'd like to see some serious acceleration on the ecosystem front. In other words, Dell as both a selling partner and a business enabler with its platform, its programmable Infrastructure-as-a-Service. And that is a moving target that will rapidly evolve. And of course, we'll be here watching and reporting. So thanks for watching this preview of Dell Technologies Summit 2022. I'm Dave Vellante, we hope you enjoy the rest of the program. (upbeat music)

Published Date : Oct 12 2022

SUMMARY :

and of course got VMware in the process. and an enabler. and at the end of the day, and I summarize it the following way: and are super important to customers,

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Dell Technology Summit


 

>>As we said in our analysis of Dell's future, the transformation of Dell into Dell emc and now Dell Technologies has been one of the most remarkable stories in the history of the technology industry. After years of successfully integrated EMC and becoming VMware's number one distribution channel, the metamorphosis of Dell com culminated in the spin out of VMware from Dell and a massive wealth creation milestone pending, of course the Broadcom acquisition of VMware. So where's that leave Dell and what does the future look like for this technology powerhouse? Hello and welcome to the Cube's exclusive coverage of Dell Technology Summit 2022. My name is Dave Ante and I'll be hosting the program today In conjunction with the Dell Tech Summit. We'll hear from four of Dell's senior executives. Tom Sweet is the CFO of Dell Technologies. He's gonna share his views of the company's position and opportunities and answer the question, why is Dell good long term investment? >>Then we'll hear from Jeff Boudreau was the president of Dell's ISG business unit. He's gonna talk about the product angle and specifically how Dell is thinking about solving the multi-cloud challenge. And then Sam Grow Cot is the senior vice president of marketing's gonna come in the program and give us the update on Apex, which is Dell's as a service offering and a new edge platform called Project Frontier. By the way, it's also Cybersecurity Awareness Month, and we're gonna see if Sam has any stories there. And finally, for a company that's nearly 40 years old, Dell has some pretty forward thinking philosophies when it comes to its culture and workforce. And we're gonna speak with Jen Savira, who's Dell's chief Human Resource officer about hybrid work and how Dell is thinking about the future of work. We're gonna geek out all day and talk multi-cloud and edge and latency, but first, let's talk wallet. Tom Sweet cfo, and one of Dell's key business architects. Welcome back to the cube, >>Dave, it's good to see you and good to be back with you. So thanks for having me, Jay. >>Yeah, you bet. Tom. It's been a pretty incredible past 18 months. Not only the pandemic and all that craziness, but the VMware spin, you had to give up your gross margin binky as kidding, and, and of course the macro environment. I'm so sick of talking about the macro, but putting that aside for a moment, what's really remarkable is that for a company at your size, you've had some success at the top line, which I think surprised a lot of people. What are your reflections on the last 18 to 24 months? >>Well, Dave, it's been an incredible, not only last 18 months, but the whole transformation journey. If you think all the way back maybe to the LBO and forward from there, but, you know, stepping into the last 18 months, it's, you know, I, I think I remember talking with you and saying, Hey, you know, this scenario planning we did at the beginning of this pandemic journey was, you know, 30 different scenarios roughly, and none of which sort of panned out the way it actually did, which was a pretty incredible growth story as we think about how we helped customers, you know, drive workforce productivity, enabled their business model during the all remote work environment. That was the pandemic created. And couple that with the, you know, the, the rise then and the infrastructure spin as we got towards the tail end of the, of the pandemic coupled with, you know, the spin out of VMware, which culminated last November, as you know, as we completed that, which unlocked a pathway back to investment grade within unlocked, quite frankly shareholder value, capital allocation frameworks. It's really been a remarkable, you know, 18, 24 months. It's, it's never dull at Dell Technologies. Lemme put it that way. >>Well, well, I was impressed with you, Tom, before the leverage buyout and then what I've seen you guys navigate through is, is, is truly amazing. Well, let's talk about the challenging macro. I mean, I've been through a lot of downturns, but I've never seen anything quite like this with fed tightening and you're combating inflation, you got this recession looming, there's a bear market you got, but you got zero unemployment, you're rising wages, strong dollar, and it's very confusing. But it spending is, you know, it's somewhat softer, but it's still not bad. How are you seeing customers behave? How is Dell responding? >>Yeah, look, if you think about the markets we play in Dave, and we should start there as a grounding, you know, the, the total market, the core market that we think about is roughly 700 and, you know, 50 billion or so. If you think about our core IT services capability, you couple that with some of the, the growth initiatives that we're driving and the adjacent markets that that, that brings in, you're roughly talking a 1.4 to $1.5 trillion market opportunity, total addressable market. And so from from that perspective, we're extraordinarily bullish on where are we in the journey as we continue to grow and expand. You know, we have, we're number one share in just about every category that we plan, but yet when you look at that, you know, number one share in some of these, you know, our highest share position may be, you know, low thirties and maybe in the high end of storage you're at the upper end of thirties or 40%. >>But the opportunity there to continue to expand the core and, and continue to take share and outperform the market is truly extraordinary. So, so you step back and think about that, then you say, okay, what have we seen over the last number of months and quarters? It's been, you know, really great performance through the pandemic as, as you highlighted, we actually had a really strong first half of the year of our fiscal year 23 with revenue up 12% operating income up 12% for the first half. You know, what we talked about as you, if you might recall in our second quarter earnings, was the fact that we were starting to see softness. We had seen it in the consumer PC space, which is not a big area of focus for us in the sense of our, our total revenue stream, but we started to see commercial PC soften and we were starting to see server demand soften a bit and storage demand was, was holding quite frankly. >>And so we gave a a framework around guidance for the rest of the year as a, of what we were seeing. You know, the macro environment as you highlight it continues to be challenging. You know, if you look at inflation rates and the efforts by central banks across the globe to with through interest rate rise to press down and, and constrain growth and push down inflation, you couple that with supply chain challenges that continue principle, particularly in the ISG space. And then you couple that with the Ukraine war and the, and the energy crisis that that's created. And particularly in Europe, it's a pretty dynamic environment. And, but I'm confident, you know, I'm confident in the long term, but I do think that there is, you know, that there's navigation that we're going to have to do over the coming number of quarters, who knows quite how long, you know, to, to make sure the business is properly positioned and, you know, we've got a great portfolio and you're gonna talk to some of the team LA later on as you think your way through some of the solution capabilities we're driving what we're seeing around technology trends. >>So the opportunities there, there's some short term navigation that we're gonna need to do just to make sure that we address some of the, you know, some of the environmental things that we're seeing right >>Now. Yeah. And as a global company, of course you're converting local currencies back to appreciated dollars. That's, that's, that's another headwind. But as you say, I mean, that's math and you're navigating it. And again, I've seen a lot of downturns, but you know, the best companies not only weather the storm, but they invest in ways they that allow them to cut out, come out the other side stronger. So I wanna talk about that longer term opportunity, the relationship between the core, the the business growth. You mentioned the tam, I mean, even as a lower margin business, if, if you can penetrate that big of a tam, you could still throw off a lot of cash and you've got other levers to turn in potentially acquisitions and software. And, but so ultimately what gives you confidence in Dell's future? How should we think about Dell's future? >>Yeah, look, I, I think it comes down to we are extraordinarily excited about the opportunity over the long term digital transformation continues. I I am on numerous customer and CIO calls every week. Customers are continuing to invest in digital transformation and infrastructure to enable their business model. Yes, maybe it's gonna slow or, or pause or maybe they're not gonna invest quite at the same rate over the next number of quarters, but over the long term the needs are there. You look at what we're doing around the, the growth opportunities that we see, not only in our core space where we continue to invest, but also in the, what we call the strategic adjacencies. Things like 5G and modern telecom infrastructure as our, the telecom providers across the globe open up their, what a cl previous been closed ecosystems, you know, to open architecture. You think about, you know, what we're doing around the edge and the distribution now that we're seeing of compute and storage back to the edge given data gravity and latency matters. >>And so we're pretty bullish on the opportunity in front of us, you know, yes, we will and we're continuing to invest and you know, Jeff Boudreau talk about that I think later on in the program. So I'm excited about the opportunities and you look at our cash flow generation capability, you know, we are in, in, in normal times a, a cash flow generation machine and we'll continue to do so, You know, we've got a negative, you know, CCC in terms of, you know, how do we think about efficiency of working capital? And we look at our, you know, our capital allocation strategy, which has now returned, you know, somewhere in near 60% of our free cash flow back to shareholders. And so, you know, there's lots to, lots of reasons to think about why this, you know, we are a great sort of, I think value creation opportunity and a over the long term that the long term trends are with us, and I expect them to continue to be so, >>Yeah, and you guys, you, you, you do what you say you're gonna do. I mean, I said in my, in my other piece that I did recently, I think you guys put 46 billion on the, on the, on the balance sheet in terms of debt. That's down to I think 16 billion in the core, which that's quite remarking and that gives you some other opportunities. Give us your, your closing thoughts. I mean, you kind of just addressed why Dell is a good long term play, but I'll give you an opportunity to bring us home. >>Hey, Dave. Yeah, look, I, I just think if you look at the good, the market opportunity, the size and scale of Dell and how we think about the competitive advantages that we have, we com you know, if you look at, say we're a hundred billion revenue company, which we were a year, you know, last year, that as we reported roughly 60, 65 billion of that in the client, in in PC space, roughly, you know, 35 to 40 billion in the ISG or infrastructure space, those markets are gonna continue the opportunity to grow, share, grow at a premium to the market, drive, cash flow, drive, share gain is clearly there. You couple that with, you know, what we think the opportunity is in these adjacent markets, whether it's telecom, the edge, what we're thinking around data services, data management, you know, we, and you cut, you put that together with the long term trends around, you know, data creation and digital transformation. We are extraordinarily well positioned. We have the largest direct selling organization in in the technology space. We have the largest supply chain, our services footprint, you know, well positioned in my mind to take advantage of the opportunities as we move forward. >>Well Tom, really appreciate you taking the time to speak with us. Good to see you again. >>Nice seeing you. Thanks Dave. >>All right. You're watching the Cubes exclusive behind the scenes coverage of Dell Technology Summit 2022. In a moment, I'll be back with Jeff Boudreau. He's the president of Dell's ISG Infrastructure Solutions Group. He's responsible for all the important enterprise business at Dell, and we're excited to get his thoughts, keep it right there. >>Welcome back to the cube's exclusive coverage of the Dell Technology Summit. I'm Dave Ante and we're going inside with Dell execs to extract the signal from the noise. And right now we're gonna dig into customer requirements in a data intensive world and how cross cloud complexities get resolved from a product development perspective and how the ecosystem fits in to that mosaic to close the gaps and accelerate innovation. And with me now as friend of the cube, Jeff Boudreau, he's the president of the Infrastructure Solutions Group, ISG at Dell Technologies. Jeff, always good to see you. Welcome. >>You too. Thank you for having me. It's great to see you and thanks for having me back on the cube. I'm thrilled to be here. >>Yeah, it's our pleasure. Okay, so let's talk about what you're observing from customers today. You know, we talk all the time about operating in a data driven multi-cloud world, blah, blah, blah, blah. But what does that all mean to you when you have to translate that noise into products that solve specific customer problems, Jeff? >>Sure. Hey, great question. And everything always starts with our customers. There are motivation, they're top of mind, everything we do, my leadership team and I spend a lot of time with our customers. We're listening, we're learning, we're really understanding their pain points, and we wanna get their feedback in regards to our solutions, both turn and future offerings, really ensure that we're aligned to meeting their business objectives. I would say from these conversations, I'd say customers are telling us several things. First, it's all about data for no surprise going back to your opening. And second, it's about the multi-cloud world. And I'd say the big thing coming from all of this is that both of those are driving a ton of complexity for our customers. And I'll unpack that just a bit, which is first the data. As we all know, data is growing at unprecedented rates with more than 90% of the world's data being produced in the last two years alone. >>And you can just think of that in it's everywhere, right? And so as it as the IT world shifts towards distributed compute to support that data growth and that data gravity to really extract more value from that data in real time environments become inherently more and more hybrid and more and more multi-cloud. Which leads me to the second key point that I've been hearing from our customers, which it's a multi-cloud world, not new news. Customers by default have multiple clouds running across multiple locations that's on-prem and off-prem, it's running at the edge and it's serving a variety of different needs. Unfortunately, for most of our CU customers, multi-cloud is actually added to their complexity. As we've discussed. It's been a lot more of multi-cloud by default versus multi-cloud by design. And if you really think about our customers, I mean, I, I, I've talking to 'EM all the time, you think about the data complexity, that's the growth and the gravity. >>You think about their infrastructure complexity shifting from central to decentralized it, you think about multi-cloud complexity. So you have these walled gardens, if you will. So you have multiple vendors and you have these multiple contracts that all creates operational complexity for their teams around their processes of their tools. And then you think about security complexity that that dries with the, just the increased tax service and the list goes on. So what are we seeing for our customers? They, what they really want from us, and what they're asking us for is simplicity, not complexity. The immediacy, not latency. They're asking for open and aligned versus I'd say siloed and closed. And they're looking for a lot more agility and not rigidity in what we do. So they really wanna simplify everything. They're looking for a simpler IT and a more agile it. And they want more control of their data, right? >>And so, and they want to extract more of the value to enrich their business or their customer engagements, which all sounds pretty obvious and we've probably all heard it a bunch, but it's really hard to achieve. And that's where I believe, and we believe as Dell that we, it creates a big opportunity for us to really help our customers as that great simplifier of it. We're already doing this today on just a couple quick examples. First is Salesforce. We've supported recently, we've supported their global expansion with a multi-cloud solution to help them drive their business growth. Our solution delivered a reliable and consistent IT experience. We go back to that complexity and it was across a very distributed environment, including more than 60 data centers, 230 countries and hundreds of thousands of customers. It really provided Salesforce with the flexibility of placing workloads and data in an environment based on the right service level. >>Objective things like cost complexity or even security compliance considerations. The second customer A is a big New England Patriot fan. And Dan, Dave, I know you are as well. Oh yeah, this one's near, near data to my heart, it's the craft group. We just created a platform to span all the businesses that create more, I'd say data driven, immersive, secure experience, which is allowing them to capture data at the edge and use it for real time insights for things like cyber resiliency, but also like safety of the facilities. And as being a PA fan like I am, did they truly are meeting us where we are in our seats on their mobile devices and also in the parking lot. So just keep that in mind next time you're there. The bottom line, everything we're doing is really to make it simpler for our customers and to help them get the most of their data. I'd say we're gonna do this, is it through a multi-cloud by design approach, which we talked a lot about with you and and others at Dell Tech world earlier this year, >>Right? And we had Salesforce on, actually at Dell Tech group. The craft group is interesting because, you know, when you get to the stadium, you know, everybody's trying to get, get, get out to the internet and, and, but then the experience is so much better if you can actually, you know, deal with that edge. So I wanna talk about complexity though. You got data, you got, you know, the, the edge, you got multiple clouds, you got a different operating model across security model, different. So a lot of times in this industry we solve complexity with more complexity and it's like a bandaid. So I wanna, I wanna talk to, to how you're innovating around simplicity in ISG to address this complexity and what this means for Dell's long term strategy. >>Sure, I'd love to. So first I, I'd like to state the obvious, which are our investments in our innovations really focused on advancing, you know, our, our our customers needs, right? So we are really, our investments are gonna be targeted. We, we believe customers can have the most value. And some of that's gonna be around how we create strategic partnerships as well connected to what we just spoke about. Much of the complexity of customers have or experiencing is in the orchestration and management of all the data in all these different places and customers, you know, they must be able to quickly deploy and operate across cloud environments. They need to increase their developer productivity, really enabling those developers that do what they do best, which is creating more value for their customers than for their businesses. Our innovation efforts are really focused on addressing this by delivering an open and modern IT architecture that allows customers to run and manage any workload in any cloud anywhere. >>Data lives we're focused on, also focused on consumption based solutions, which allow for a greater degree of simplicity and flexibility, which they're really asking for as well. The foundation for this is our software to define common storage layer, that common storage layer. You can think about this Dave, as our ias if you will. It underpins our data access in mobility across all data types and locations. So you can think private, public, telecom, colo, edge, and it's delivered in a secure, holistic, and consistent cloud experience through Apex. We are making a ton of progress to let you just to be, just to be clear, we've made headway in things like Project Alpine, which you're very well aware of. This is our storage as a service. We announce this back in in January, which brings our unique software IP from our flagship storage platform to all the major public clouds. >>Really delivering the best of both worlds, allowing our customers to take advantage of Dell's enterprise class data services and storage software, such as performance at scale, resiliency, efficiency and security. But in addition to that, we're leveraging the breadth of the public cloud services, right? They're on demand scaling capabilities and access to analytical services. So in addition, we're really, we're, we're on our way to win at the edge as well with Project Frontier, which reduces complexity at the edge by creating an open and secure software platform to help our customers simplify their edge operations, optimize their edge environments and investments, secure that edge environment as well. I believe you're gonna be discussing Project Frontier here with Sam Gro Crop, the very near future. So I won't give up too many more details there. And lastly, we're also scaling Apex, which, oh, well, shifting from our vision, really shifting from vision to reality and introducing several new Apex service offerings, which are coming to market over the next month or so. And the intent is really supporting our customers on their as a service transitions by modernize the consumption experience and providing that flexible as a service model. Ultimately, we're trying to help our customers achieve that multi-cloud by design to really simplify it and unlock the power of their data. >>So some good examples there. I I like to talk about the super Cloud as you, you know, you're building on top of the, you know, hyperscale infrastructure and you got Apex is your cloud, the common storage layer, you call it your is. And that's, that's a ingredient in what we call the super cloud out to the edge. You have to have a common platform there and one of the hallmarks of a cloud company. And as you become a cloud company, everybody's a cloud company ecosystem becomes really, really important in terms of product development and, and innovation. Matt Baker always loves to stress it's not a zero zero sum game. And, and I think Super Cloud recognizes that, that there's value to be built on top of other clouds and, and, and of course on top of your infrastructure so that your ecosystem can add value. So what role does the ecosystem play there? >>For me, it's, it's pretty clear. It's, it's, it's critical. I can't say that enough above the having an open ecosystem. Think about everything we just discussed, and I agree with your super cloud analogy. I agree with what Matt Baker had said to you, I would certain no one company can actually address all the pain points and all the issues and challenges our customers are having on their own, not one. I think customers really want and deserve an open technology ecosystem, one that works together. So not these close stacks that discourages interoperability or stifles innovation and productivity of our, of each of our teams. We del I guess have a long history of supporting open ecosystems that really put customers first. And to be clear, we're gonna be at the center of the multi-cloud ecosystem and we're working with partners today to make that a reality. >>I mean, just think of what we're doing with VMware. We continue to build on our first and best alliances with them in August at their VMware explorer, which I know you were at, we announced several joint engineering initiatives to really help customers more easily manage and gain value from their data and their infrastructure. For multi-cloud specifically, we strength our relationship with VMware and with Tansu as part of that. In addition, just a few weeks ago we announced our partnership with Red Hat to simplify our multi-cloud deployments for managing containerized workloads. I'd say, and using your analogy, I could think of that as our multicloud platform. So that's kind of our PAs layer, if you will. And as you're aware, we have a very long standing and strategic partnership with Microsoft and I'd say stay tuned. There's a lot more to come with them and also others in this multicloud space. >>Shifting a bit to some of the growth engines that my team's responsible for the edge, right? As you think about data being everywhere, we've established partnerships for the Edge as well with folks like PTC and Litmus for the manufacturing edge, but also folks like Deep North for the retail edge analytics and data management. Using your Supercloud analogy, Dave the sa, right? This is our Sasa, we've announced that we're collaborating, partnering with folks like Snowflake and, and there's other data management companies as well to really simplify data access and accelerate those data insights. And then given customers choice of where they'd like to have their IT and their infrastructure, we've we're expanding our colo partnerships as well with folks like eex and, and they're allowing us to broaden our availability of Apex, providing customers the flexibility to take advantage of those as a service offerings wherever it's delivered and where they can get the most value. So those are just some you can hear from me. I think it's critical not only for, for us, I think it's critical for our customers. I think it's been critical, critical for the entire, you know, industry as a whole to really have that open technology ecosystem as we work with our customers on our multi-cloud solutions really to meet their needs. We'll continue to collaborate with whoever customers choose and you know, and who they want us to do business with. So I'd say a lot more coming in that space. >>So it's been an interesting three years for you, just, just over three years now since you've been made the president of the IS isg. And so you had to dig in and, and it was obviously a strange time around the world, but, but you really had to look at, okay, how do we modernize the platform? How do we make it, you know, cloud first, You've mentioned the edge, we're expanding. So what are the big takeaways? What do you want customers and our audience to understand? Just some closing thoughts and if you could summarize. >>Sure. So I'd say first, you know, we discussed we're working in a very fast paced, ever-changing market with massive amounts of data that needs to be managed. It's very complex and our customers need help with that complexity. I believe that Dell Technologies is uniquely positioned to help as their multicloud champion. No one else can solve the breadth and depth of the challenges like we can. And we're gonna help our customers move forward when they basically moving from a multi-cloud by default, as we've discussed before, to multicloud by design. And I'm really excited for the opportunity to work with our customers to help them expand that ecosystem as they truly realize the future of it and, and what they're trying to accomplish. >>Jeff, thanks so much. Really appreciate your time. Always a pleasure. Go pats and we'll see you on the blog. >>Thanks Dave. >>All right, you're watching exclusive insight insights from Dell Technology Summit on the cube, your leader in enterprise and emerging tech coverage. >>Hello everyone, this is Dave Lanta and you're watching the Cubes coverage of the Dell Technology Summit 2022 with exclusive behind the scenes interviews featuring Dell executive perspectives. And right now we're gonna explore Apex, which is Dell's as a service offering Dell's multi-cloud and edge strategies and the momentum around those. And we have news around Project Frontier, which is Dell's vision for its edge platform. And there's so much happening here. And don't forget it's cyber security Awareness month. Sam Grot is here, he's the senior vice president of marketing at Dell Technologies. Sam, always great to see you. How you doing? >>Always great to be here, Dave. >>All right, let's look at cloud. Everybody's talking about cloud Apex, multi-cloud, what's the update? How's it going? Where's the innovation and focal points of the strategy? >>Yeah, yeah. Look Dave, if you think back over the course of this year, you've really heard, heard us pivot as a company and discussing more and more about how multi-cloud is becoming a reality for our customers today. And when we listen and talk with our customers, they really describe multi-cloud challenges and a few key threads. One, the complexity is growing very, very quickly. Two, they're having a harder time controlling how their users are accessing the various different clouds. And then of course, finally the cloud costs are growing unchecked as well. So we, we like to describe this phenomenon as multi-cloud by design. We're essentially, organizations are waking up and seeing cloud sprawl around their organization every day. And this is creating more and more of those challenges. So of course at Dell we've got a strong point of view that you don't need to build multicloud by by default, rather it's multicloud by design where you're very intentional in how you do multicloud. >>And how we deliver multicloud by design is through apex. Apex is our modern cloud and our modern consumption experience. So when you think about the innovation as well, Dave, like we've been on a pretty quick track record here in that, you know, the beginning of this year we introduced brand new Apex backup services that provides that SAS based backup service. We've introduced or announced project outline, which is bringing our storage software, intellectual property from on-prem and putting it and running it natively in the public cloud. We've also introduced new Apex cyber recovery services that is simplifying how customers protect against cyber attacks. They can run an Amazon Azure, aw, I'm sorry, Amazon, aws, Azure or Google. And then, you know, we are really focused on this multi-cloud ecosystem. We announce key partnerships with SaaS providers such as Snowflake, where you can now access our information or our data from on-prem through the Snow Snowflake cloud. >>Or if needed, we can actually move the data to the Snowflake cloud if required. So we're continuing to build out that ecosystem SaaS providers. And then finally I would say, you know, we made a big strategic announcement just recently with Red Hat, where we're not only delivering new Apex container services, but we announce the strategic partnership to build jointly engineered solutions to address hybrid and multi-cloud solutions going forward. You know, VMware is gonna always continue to be a key partner of ours at the la at the recent VMware explorer we announced new Tansu integration. So, So Dave, I, I think in a nutshell we've been innovating at a very, very fast pace. We think there is a better way to do multi-cloud and that's multi-cloud by design. >>Yeah, we heard that at Dell Technologies world. First time I had heard that multi-cloud by design versus sort of default, which is great Alpine, which is sort of our, what we called super cloud in the making. And then of course the ecosystem is critical for any cloud company. VMware of course, you know, top partner, but the Snowflake announcement was very interesting Red Hat. So seeing that expand, now let's go out to the edge. How's it going with the edge expansion? There's gotta be new speaking of ecosystem, the edge is like a whole different, you know, OT type, that's right, ecosystem, that's telcos what and what's this new frontier platform all about? >>Yeah, yeah. So we've talked a lot about cloud and multi clouds, we've talked about private and hybrid cloud, we've talked about public clouds, clouds and cos, telcos, et cetera. There's really been one key piece of our multi-cloud and technology strategy that we haven't spent a lot of time on. And that's the edge. And we do see that as that next frontier for our customers to really gain that competitive advantage that is created from their data and get closer to the point of creation where the data lives. And that's at the edge. We see the edge infrastructure space growing very, very quickly. We see upwards of 300% year of year growth in terms of amount of data being created at the edge. That's almost 3000 exabytes of data by 2026. So just incredible growth. And the edge is not really new for Dell. We've been at it for over 20 years of delivering edge solutions. >>81% of the Fortune 100 companies in the US use Dell solutions today at the Edge. And we are the number one OEM provider of Edge solutions with over 44,000 customers across over 40 industries and things like manufacturing, retail, edge healthcare, and more. So Dave, while we've been at it for a long time, we have such a, a deep understanding of how our customers are using Edge solutions. Say the bottom line is the game has gotta change. With that growth that we talked about, the new use cases that are emerging, we've got to un unlock this new frontier for customers to take advantage of the edge. And that's why we are announcing and revealing Project Frontier. And Project Frontier in its most simplest form, is a software platform that's gonna help customers and organizations really radically simplify their edge deployments by automating their edge operations. You know, with Project Frontier organizations are really gonna be able to manage, OP, and operate their edge infrastructure and applications securely, efficiently and at scale. >>Okay, so it is, first of all, I like the name, it is software, it's a software architecture. So presumably a lot of API capabilities. That's right. Integration's. Is there hardware involved? >>Yeah, so of course you'll run it on Dell infrastructure. We'll be able to do both infrastructure orchestration, orchestration through the platform, but as well as application orchestration. And you know, really there's, there's a handful of key drivers that have been really pushing our customers to take on and look at building a better way to do the edge with Project Frontier. And I think I would just highlight a handful of 'em, you know, freedom of choice. We definitely see this as an open ecosystem out there, even more so at the Edge than any other part of the IT stack. You know, being able to provide that freedom of choice for software applications or I O T frameworks, operational technology or OT for any of their edge use cases, that's really, really important. Another key area that we're helping to solve with Project Frontier is, you know, being able to expect zero trust security across all their edge applications from design to deployment, you know, and of course backed by an end and secure supply chain is really, really important to customers. >>And then getting that greater efficiency and reliability of operations with the centralized management through Project Frontier and Zero Touch deployments. You know, one of the biggest challenges, especially when you get out to the far, far reach of the frontier is really IT resources and being able to have the IT expertise and we built in an enormous amount of automation helps streamline the edge deployments where you might be deploying a single edge solution, which is highly unlikely or hundreds or thousands, which is becoming more and more likely. So Dave, we do think Project Frontier is the right edge platform for customers to build their edge applications on now and certain, excuse me, certainly, and into the future. >>Yeah. Sam, no truck rolls. I like it. And you, you mentioned, you mentioned Zero trust. So we have Mother's Day, we have Father's Day. The kids always ask When's kids' day? And we of course we say every day is kids' day and every day should be cybersecurity awareness day. So, but we have cybersecurity awareness month. What does it mean for Dell? What are you hearing from customers and, and how are you responding? >>Yeah, yeah. No, there isn't a more prevalent pop of mind conversation, whether it's the boardroom or the IT departments or every company is really have been forced to reckon with the cybersecurity and ransom secure issues out there. You know, every decision in IT department makes impacts your security profile. Those decisions can certainly, positively, hopefully impact it, but also can negatively impact it as well. So data security is, is really not a new area of focus for Dell. It's been an area that we've been focused on for a long time, but there are really three core elements to cyber security and data security as we go forward. The first is really setting the foundation of trust is really, really important across any IT system. And having the right supply chain and the right partner to partner with to deliver that is kind of the foundation in step one. >>Second, you need to of course go with technology that is trustworthy. It doesn't mean you are putting it together correctly. It means that you're essentially assembling the right piece parts together. That, that coexist together in the right way. You know, to truly change that landscape of the attackers out there that are gonna potentially create risk for your environment. We are definitely pushing and helping to embrace the zero trust principles and architectures that are out there. So finally, while when you think about security, it certainly is not absolute all correct. Security architectures assume that, you know, there are going to be challenges, there are going to be pain points, but you've gotta be able to plan for recovery. And I think that's the holistic approach that we're taking with Dell. >>Well, and I think too, it's obviously security is a complicated situation now with cloud you've got, you know, shared responsibility models, you've got that a multi-cloud, you've got that across clouds, you're asking developers to do more. So I think the, the key takeaway is as a security pro, I'm looking for my technology partner through their r and d and their, you mentioned supply chain processes to take that off my plate so I can go plug holes elsewhere. Okay, Sam, put a bow on Dell Technology Summit for us and give us your closing thoughts. >>Yeah, look, I I think we're at a transformative point in it. You know, customers are moving more and more quickly to multi-cloud environments. They're looking to consume it in different ways, such as as a service, a lot of customers edge is new and an untapped opportunity for them to get closer to their customers and to their data. And of course there's more and more cyber threats out there every day. You know, our customers when we talk with them, they really want simple, consistent infrastructure options that are built on an open ecosystem that allows them to accomplish their goals quickly and successfully. And look, I think at Dell we've got the right strategy, we've got the right portfolio, we are the trusted partner of choice, help them lead, lead their, their future transformations into the future. So Dave, look, I think it's, it's absolutely one of the most exciting times in it and I can't wait to see where it goes from here. >>Sam, always fun catching up with you. Appreciate your time. >>Thanks Dave. >>All right. A Dell tech world in Vegas this past year, one of the most interesting conversations I personally had was around hybrid work and the future of work and the protocols associated with that and the mindset of, you know, the younger generation. And that conversation was with Jen Savira and we're gonna speak to Jen about this and other people and culture topics. Keep it right there. You're watching the cube's exclusive coverage of Dell Technology Summit 2022. Okay, we're back with Jen Vera, who's the chief human resource officer of Dell, and we're gonna discuss people, culture and hybrid work and leadership in the post isolation economy. Jen, the conversations that we had at Dell Tech World this past May around the new work environment were some of the most interesting and engaging that I had personally. So I'm really eager to, to get the update. It's great to see you again. Thanks for coming on the cube. >>Thanks for having me Dave. There's been a lot of change in just a short amount of time, so I'm excited to, to share some of our learnings >>With you. I, I mean, I bet there has, I mean, post pandemic companies, they're trying, everybody's trying to figure out the return to work and, and what it looks like. You know, last May there was really a theme of flexibility, but depending, we talked about, well, millennial or not young old, and it's just really was mixed, but, so how have you approached the topic? What, what are your policies? What's changed since we last talked? You know, what's working, you know, what's still being worked? What would you recommend to other companies to over to you? >>Yeah, well, you know, this isn't a topic that's necessarily new to Dell technology. So we've been doing hybrid before. Hybrid was a thing. So for over a decade we've been doing what we called connected workplace. So we have kind of a, a history and we have some great learnings from that. Although things did change for the entire world. You know, March of 2020, we went from kind of this hybrid to everybody being remote for a while. But what we wanted to do is, we're such a data driven company, there's so many headlines out there, you know, about all these things that people think could happen will happen, but there wasn't a lot of data behind it. So we took a step back and we asked our team members, How do you think we're doing? And we asked very kind of strong language because we've been doing this for a while. >>We asked them, Do you think we're leading in the world of hybrid in 86% of our team members said that we were, which is great, but we always know there's nuance right behind that macro level. So we, we asked 'em a lot of different questions and we just went on this kind of myth busting journey and we decided to test some of those things. We're hearing about Culture Willow Road or new team members will have trouble being connected or millennials will be different. And we really just collected a lot of data, asked our team members what their experience is. And what we have found is really, you don't have to be together in the office all the time to have a strong culture, a sense of connection, to be productive and to have it really healthy business. >>Well, I like that you were data driven around it in the data business here. So, but, but there is a lot of debate around your culture and how it suffers in a hybrid environment, how remote workers won't get, you know, promoted. And so I'm curious, you know, and I've, and I've seen some like-minded companies like Dell say, Hey, we, we want you guys to work the way you wanna work. But then they've, I've seen them adjust and say, Well yeah, but we also want you to know in the office be so we can collaborate a little bit more. So what are you seeing at Dell and, and, and how do you maintain that cultural advantage that you're alluding to in this kind of strange, new ever changing world? >>Yeah, well I think, look, one approach doesn't fit all. So I don't think that the approach that works for Dell Technologies isn't necessarily the approach that works for every company. It works with our strategy and culture. It is really important that we listen to our team members and that we support them through this journey. You know, they tell us time and time again, one of the most special things about our culture is that we provide flexibility and choice. So we're not a mandate culture. We really want to make sure that our team members know that we want them to be their best and do their best. And not every individual role has the same requirements. Not every individual person has the same needs. And so we really wanna meet them where they are so that they can be productive. They feel connected to the team and to the company and engaged and inspired. >>So, you know, for, for us, it really does make sense to go forward with this. And so we haven't, we haven't taken a step back. We've been doing hybrid, we'll continue to do hybrid, but just like if you, you know, we talk about not being a mandate. I think the companies that say nobody will come in or you have to come in three days a week, all of that feels more limiting. And so what we really say is, work out with your team, work out with your role, workout with your leader, what really makes the most sense to drive things forward. >>I >>You were, so >>That's what we, you were talking before about myths and you know, I wanna talk about team member performance cuz there's a lot of people believe that if, if you're not in the office, you have disadvantages, people in the office have the advantage cuz they get FaceTime. Is is that a myth? You know, is there some truth to that? What, what do you think about that? >>Well, for us, you know, we look, again, we just looked at the data. So we said we don't wanna create a have and have not culture that you're talking about. We really wanna have an inclusive culture. We wanna be outcome driven, we're meritocracy. But we went and we looked at the data. So pre pandemic, we looked at things like performance, we looked at rewards and recognition, we looked at attrition rates, we looked at sentiment, Do you feel like your leader is inspiring? And we found no meaningful differences in any of that or in engagement between those who worked fully remote, fully in the office or some combination between. So our data would bust that myth and say, it doesn't, you don't have to be in an office and be seen to get ahead. We have equitable opportunity. Now, having said that, you always have to be watching that data. And that's something that we'll continue to do and make sure that we are creating equal opportunity regardless of where you work. >>And it's personal too, I think, I think some people can be really productive at home. I happen to be one that I'm way more productive in the office cause the dogs aren't barking. I have less distractions. And so I think we think, and, and I think the takeaway that in just in talking to, to, to you Jen and, and folks at Dell is, you know, whatever works for you, we're we're gonna, we're gonna support. So I I wanted to switch gears a little bit, talk about leadership and, and very specifically empathic leadership has been said to be, have a big impact on attracting talent, retaining talent, but, but it's hard to have empathy sometimes. And I know I saw some stats in a recent Dell study. It was like two thirds the people felt like their organization underestimates the people requirements. And I, I ask myself, I'm like, what am I missing? I hope, you know, with our folks, so especially as it relates to, to transformation programs. So how can human resource practitioners support business leaders generally, specifically as it relates to leading with empathy? >>I think empathy's always been important. You have to develop trust. You can have the best strategy in the world, right? But if you don't feel like your leader understands who you are, appreciates the the value that you bring to the company, then you're not gonna get very far. So I think empathetic leadership has always been part of the foundation of a trusting, strong relationship between a leader and a team member. But if I think we look back on the last two years, and I imagine it'll be even more so as we go forward, empathetic leadership will be even more important. There's so much going on in the world, politically, socially, economically, that taking that time to say you want your team members to see you as credible, that you and confident that you can take us forward, but also that, you know, and understand me as a human being. >>And that to me is really what it's about. And I think with regard to transformation that you brought up, I think one of the things we forget about is leaders. We've probably been thinking about a decision or transformation for months or weeks and we're ready to go execute, we're ready to go operationalize that thing. And so sometimes when we get to that point, because we've been talking about it for so long, we send out the email, we have the all hands and we just say we're ready to go. But our team members haven't always been on that journey for those months that we have. And so I think that empathetic moment to say, Okay, not everybody is on a change curve where I am. Let's take a pause, let me put myself in their shoes and really think about how we bring everybody along. >>You know, Jen, in the spirit of myth busting, I mean I'm one of those people who felt like that a business is gonna have a hard time, harder time fostering this culture of collaboration and innovation post isolation economy as they, they could pre covid. But you know, I noticed there's a, there's an announcement today that came across my desk, I think it's from Newsweek. Yes. And, and it's the list of top hundred companies recognized for employee motivation satisfaction. And it was really interesting because you, you always see, oh, we're the top 10 or the top hundred, But this says as a survey of 1.4 million employees from companies ranging from 50 to 10,000 employees. And it recognizes the companies that put respect, caring, and appreciation for their employees at the center of their business model. And they doing so have earned the loyalty and respect of the people who work for them. >>Number one on the list is Dell sap. So congratulations SAP was number two. I mean, there really isn't any other tech company on there, certainly no large tech companies on there. So I always see these lists, they go, Yeah, okay, that's cool, top a hundred, whatever. But top one in, in, in an industry where there's only two in the top is, is pretty impressive. And how does that relate to fostering my earlier skepticism of a culture of collaboration? So first of all, congratulations, you know, how'd you do it? And how are you succeeding in, in this new world? >>Well thanks. It does feel great to be number one, but you know, it doesn't happen by accident. And I think while most companies have a, a culture and a spouse values, we have ours called the culture code. But it's really been very important to us that it's not just a poster on the wall or or words on paper. And so we embed our culture code into all of our HR practices, that whole ecosystem from recognition of rewards to performance evaluation, to interviewing, to development. We build it into everything. So it really reflects who we are and you experience it every day. And then to make sure that we're not, you know, fooling ourselves, we ask all of our employees, do you feel like the behaviors you see and the experience you have every day reflects the culture code? And 94% of our team members say that, in fact it does. So I think that that's really been kind of the secret to our success. If you, if you listen to Michael Dell, he'll always say, you know, the most special thing about Dell is our culture and our people. And that comes through being very thoughtful and deliberate to preserve and protect and continue to focus on our culture. >>Don't you think too that repetition and, well first of all, belief in that cultural philosophy is, is important. And then kind of repeating, like you said, Yeah, it's not just a poster in the wall, but I remember like, you know, when we're kids, your parents tell you, okay, power positive thinking, do one to others as others, you know, you have others do it to you. Don't make the say you're gonna do some dumb things but don't do the same dumb things twice and you sort of fluff it up. But then as you mature you say, Wow, actually those were, >>They might have had a >>Were instilled in me and now I'm bringing them forward and, you know, paying it forward. But, but so i, it, it, my, I guess my, my point is, and it's kind of a point observation, but I'll turn it into a question, is isn't isn't consistency and belief in your values really, really important? >>I couldn't agree with you more, right? I think that's one of those things that we talk about it all the time and as an HR professional, you know, it's not the HR people just talking about our culture, it's our business leaders, it's our ceo, it's our COOs ev, it's our partners. We share our culture code with our partners and our vendors and our suppliers and, and everybody, this is important. We say when you interact with anybody at Dell Technologies, you should expect that this is the experience that you're gonna get. And so it is something that we talk about that we embed in, into everything that we do. And I think it's, it's really important that you don't just think it's a one and done cuz that's not how things really, really work >>Well. And it's a culture of respect, you know, high performance, high expectations, accountability at having followed the company and worked with the company for many, many years. You always respect the dignity of your partners and your people. So really appreciate your time Jen. Again, congratulations on being number one. >>Thank you so much. >>You're very welcome. Okay. You've been watching a special presentation of the cube inside Dell Technology Summit 2022. Remember, these episodes are all available on demand@thecube.net and you can check out s silicon angle.com for all the news and analysis. And don't forget to check out wikibon.com each week for a new episode of breaking analysis. This is Dave Valante, thanks for watching and we'll see you next time.

Published Date : Oct 11 2022

SUMMARY :

My name is Dave Ante and I'll be hosting the program today In conjunction with the And we're gonna speak with Jen Savira, Dave, it's good to see you and good to be back with you. all that craziness, but the VMware spin, you had to give up your gross margin binky as the spin out of VMware, which culminated last November, as you know, But it spending is, you know, it's somewhat softer, but it's still not bad. category that we plan, but yet when you look at that, you know, number one share in some of these, So, so you step back and think about that, then you say, okay, what have we seen over the last number of months You know, the macro environment as you highlight it continues to be challenging. And again, I've seen a lot of downturns, but you know, the best companies not only weather the storm, You think about, you know, And so, you know, in my other piece that I did recently, I think you guys put 46 billion the edge, what we're thinking around data services, data management, you know, Good to see you again. Nice seeing you. He's responsible for all the important enterprise business at Dell, and we're excited to get his thoughts, how the ecosystem fits in to that mosaic to close the gaps and accelerate It's great to see you and thanks for having me back on the cube. But what does that all mean to you when you have to translate And I'd say the big thing coming from all of this is that both of those are driving And if you really think about our customers, I mean, I, I, I've talking to 'EM all the time, you think about the data complexity, And then you think about security complexity that that dries And that's where I believe, and we believe as Dell that we, it creates a big opportunity for us to really help And Dan, Dave, I know you are as well. you know, when you get to the stadium, you know, everybody's trying to get, get, get out to the internet all the data in all these different places and customers, you know, to let you just to be, just to be clear, we've made headway in things like Project Alpine, And the intent is really supporting And as you become And to be clear, So that's kind of our PAs layer, if you will. We'll continue to collaborate with whoever customers choose and you know, How do we make it, you know, cloud first, You've mentioned the edge, we're expanding. the opportunity to work with our customers to help them expand that ecosystem as they truly realize the Go pats and we'll see you All right, you're watching exclusive insight insights from Dell Technology Summit on the cube, And right now we're gonna explore Apex, which is Dell's as a service offering Where's the innovation and focal points of the strategy? So of course at Dell we've got a strong point of view that you don't need to build multicloud So when you think about you know, we made a big strategic announcement just recently with Red Hat, There's gotta be new speaking of ecosystem, the edge is like a whole different, you know, And that's the edge. And we are the number one OEM provider of Edge solutions with over 44,000 Okay, so it is, first of all, I like the name, it is software, And I think I would just highlight a handful of 'em, you know, freedom of choice. the edge deployments where you might be deploying a single edge solution, and, and how are you responding? And having the right supply chain and the right partner you know, there are going to be challenges, there are going to be pain points, but you've gotta be able to plan got, you know, shared responsibility models, you've got that a multi-cloud, you've got that across clouds, And look, I think at Dell we've got the right Sam, always fun catching up with you. with that and the mindset of, you know, the younger generation. There's been a lot of change in just a short amount of time, You know, what's working, you know, what's still being worked? So we took a step back and we asked our team members, How do you think we're doing? And what we have found is really, you don't have to be together in the office we want you guys to work the way you wanna work. And so we really wanna you know, we talk about not being a mandate. That's what we, you were talking before about myths and you know, I wanna talk about team member performance cuz Well, for us, you know, we look, again, we just looked at the data. I hope, you know, with our folks, socially, economically, that taking that time to say you want your team members And I think with regard to transformation that you But you know, So first of all, congratulations, you know, how'd you do it? And then to make sure that we're not, you know, fooling ourselves, it's not just a poster in the wall, but I remember like, you know, when we're kids, your parents tell you, Were instilled in me and now I'm bringing them forward and, you know, paying it forward. the time and as an HR professional, you know, it's not the HR people just talking the dignity of your partners and your people. And don't forget to check out wikibon.com each

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Jeff Boudreau, Dell Technologies| | Dell Technologies Summit 2022


 

>>Welcome back to the Cube's exclusive coverage of the Dell Technology Summit. I'm Dave Ante. We're going inside with Dell Execs to extract the signal from the noise. And right now we're gonna dig into customer requirements in a data intensive world and how cross cloud complexities get resolved from a product development perspective and how the ecosystem fits in to that mosaic to close the gaps and accelerate innovation. And with me now is friend of the Cube, Jeff Boudreau. He's the president of the Infrastructure Solutions Group, ISG at Dell Technologies. Jeff, always good to see you. Welcome. >>You too. Thank you for having me. It's great to see you and thanks for having me back on the key. I'm thrilled to be here. >>Yeah, it's our pleasure. Okay, so let's talk about what you're observing from customers today. You know, we talk all the time about operating in a data driven multi-cloud world, blah, blah, blah, blah. But what does that all mean to you when you have to translate that noise into products that solve specific customer problems, Jeff? >>Sure. Hey, great question. And everything always starts with our customers. They're our motivation. They're top of mind in everything we do. My leadership team and I spend a lot of time with our customers. We're listening, we're learning, we're really understanding their pain points, and we wanna get their feedback in regards to our solutions. Both turn and future offerings really ensured that we're aligned to meeting their business objectives. I would say from these conversations, I'd say customers are telling us several things. First, it's all about data for no surprise going back to your opening. And second, it's about the multi-cloud world. And I'd say the big thing coming from all of this is that both of those is driving a ton of complexity for our customers. And I'll unpack that just a bit, which is first the data. As we all know, data is growing at unprecedented rates with more than 90% of the world's data being produced in the last two years alone. >>And you can just think of that in its everywhere, right? And so as it is, the IT world shifts towards distributed compute to support that data growth and that data gravity to really extract more value from that data in real time environments become inherently more and more hybrid and more and more multi-cloud. Which leads me to the second key point that I've been hearing from our customers, which it's a multi-cloud world, not new news. Customers by default have multiple clouds running across multiple locations. That's on-prem and off, it's running at the edge and it's serving a variety of different needs. Unfortunately, for most of our CU customers, multicloud actually added to their complexity. As we've discussed, it's been a lot more of multicloud by default versus multicloud by design. Really think about customers, I I, I'm talking to 'EM all the time. You think about the data complexity, that's the growth in the graph. >>You think about their infrastructure complexity, shifting from central to decentralized it, you think of a multi-cloud complexity. So you have these walled gardens, if you will. So you have multiple vendors and you have these multiple contracts that all creates operational complexity for their teams around their processes of their tools. And then you think about the security complexity that that drives with the, just the increased tax service and the list goes on. So what are we seeing for our customers? They, what they really want from, also what they're asking us for is simplicity, not complexity. The immediacy, not latency. They're asking for open and align versus I'd say siloed and closed. And they're looking for a lot more agility and not rigidity in what we do. So they really wanna simplify everything. They're looking for a simpler IT in a more agile it, and they want more control of their data, right? >>And so, and they want to extract more of the value to enrich their business or their customer engagements, which all sounds pretty obvious and we've probably all heard it a bunch, but it's really hard to achieve. And that's where I believe, and we believe as Dell that we, it creates a big opportunity for us to really help our customers as that great simplifier of it. We're already doing this today on just a couple quick examples. First is Salesforce. We've supported recently, we've supported their global expansion with a multi-cloud solution to help them drive their business growth. Our solution delivered a reliable and consistent IT experience. We go back to that complexity and it was across a very distributed environment, including more than 60 data centers, 230 countries in hundreds of thousands of customers. It really provided Salesforce with the flexibility of placing workloads and data in an environment based on the right service level. >>Objective things like cost complexity or even security compliance considerations. The second customer A is a big New England Patriot fan. And Dan, Dave, I know you are as well. Oh yeah, this one's near, near data, my heart, it's the craft group. We just created a platform to span all their businesses that created more, I'd say data driven, immersive, secure experience, which is allowing them to capture data at the edge and use it for realtime insights for things like cyber resiliency, but also like safety of the facilities. And as being a pare fan like I am Dave, they truly are meeting us where we are in, in our seats on their mobile devices and also in the parking lot. So just keep that in mind next time you're there. But bottom line, everything we're doing is really to make it simpler for our customers and to help them get the most of their data. I'd say we're gonna do this, is it through a multi-cloud by design approach, which we talked a lot about with you and and others at Dell Tech world earlier this year, >>Right? And we had Salesforce on, actually at Dell Tech Group. The craft group is interesting because, you know, when you get to the stadium, you know, everybody's trying to get, get, get out to the internet and, and, but then the experience is so much better if you can actually, you know, deal with that edge. So I wanna talk about complexity though. You got data, you got, you know, the, the edge, you got multiple clouds, you got a different operating model across security models, different. So a lot of times in this industry we solve complexity with more complexity and it's like a bandaid. So I wanna, I wanna talk to, to how you're innovating around simplicity in ISG to address this complexity and what this means for Dell's long term strategy. >>Sure, I'd love to. So first I, I'd like to state the obvious, which are our investments in our innovations really focused on advancing, you know, our, our our customers needs, right? So we are really, our investments are gonna be targeted. We, we believe customers can have the most value. And some of that's gonna be around how we create strategic partnerships as well connected to what we just spoke about. Much of the complexity of customers have or experiencing is in the orchestration and management of all the data in all these different places and customers, you know, they must be able to quickly deploy and operate across cloud environments. They need to increase their developer productivity, really enabling those developers that do what they do best, which is creating more value for their customers than for their businesses. Our innovation efforts are really focused on addressing this by delivering an open and modern IT architecture that allows customers to run and manage any workload in any cloud anywhere. >>Data lives we're focused on, also focused on consumption based solutions, which allow for a greater degree of simplicity and flexibility, which they're really asking for as well. The foundation for this is our software defined common storage layer. That common storage layer, You can think about this, Dave, as our ias if you will. It underpins our data access in mobility across all data types of locations. So you can think private, public, telecom, colo, edge, and it's delivered in a secure, holistic, and consistent cloud experience through Apex. We are making a ton of progress to let you, just to be, just to be clear, we made headway in things like Project Alpine, which you're very well aware of. This is our storage as a service. We announce us back in, in January, which brings our unique software IP from our flagship storage platform to all the major public clouds, really delivering the best of both world, allowing our customers to take advantage of Dell's enterprise class data services and storage software, such as performance at scale, resiliency, efficiency and security. >>But in addition to that, we're leveraging the breadth of the public cloud services, right? They're on demand scaling capabilities and access to analytical services. So in addition, we're really, we're on our way to win at the edge as well with Project Frontier, which reduces complexity at the edge by creating an open and secure software platform to help our customers simplify their edge operations, optimize their edge environments and investments, secure that edge environment as well. I believe you're gonna be discussing Cru in Frontier here with Sam Broco in the very near future. So I won't give up more, too many more details there. And lastly, we're also scaling Apex, which, you know, well shifting from our vision, really shifting from vision to reality and introducing several new Apex service offerings, which are coming to market over the next month or so. And the intent is really supporting our customers on their as a service transitions by modernize the consumption experience and providing that flexible as a service model. Ultimately, we're trying to help our customers achieve that multicloud by design to really simplify it and unlock the power of their data. >>So some good examples there. I I like to talk about the super Cloud as you, you know, you're building on top of the, you know, hyperscale infrastructure and you got Apex is your cloud, the common storage layer, you call it your ISAs. And that's, that's a ingredient in what we call the super cloud out to the edge. You have to have a common platform there and one of the hallmarks of a cloud company. And as you become a cloud company, everybody's a cloud company ecosystem becomes really, really important in terms of product development and, and innovation. Matt Baker always loves to stress it's not a zero sum game. And, and I think Super Cloud recognizes that, that there's value to be built on top of other clouds and, and, and of course on top of your infrastructure so that your ecosystem can add value. So what role does the ecosystem play there? >>For me, it's, it's pretty clear. It's, it's, it's critical. I can't say that enough above the having an open ecosystem. Think about everything we just discussed, and I agree with your super cloud analogy. I agree with what Matt Baker had said to you, I would certain no one company can actually address all the pain points and all the issues and challenges our customers are having on their own. Not one. I think customers really want and deserve an open technology ecosystem, one that works together. So not these close stacks that discourages interoperability or stifles innovation and productivity of each of our teams. We del I guess, have a long history of supporting open ecosystems that really put customers first. And to be clear, we're gonna be at the center of the multi-cloud ecosystem and we're working with partners today to make that a reality. I mean, just think of what we're doing with VMware. >>We continue to build on our first and best alliances with them in August at their VMware explorer, which I know you were at. We announced several joint engineering initiatives to really help customers more easily manage and gain value from their data and their infrastructure. For multi-cloud. Specifically, we strength our relationship with VMware and know with Tansu as part of that. In addition, just a few weeks ago we announced our partnership with Red Hat to simplify our multicloud deployments for managing containerized workloads. I'd say, and using your analogy, I could think of that as our multicloud platform. So that's kind of our PAs layer, if you will. And as you're aware, we have a very long standing and strategic partnership with Microsoft and I'd say stay tuned. There's a lot more to come with them and also others in this multi-cloud space. Shifting a bit to some of the growth engines that my team's responsible for the edge, right? >>As you think about data being everywhere, we've established partnerships for the Edge as well with folks like PTC and Litmus for the manufacturing edge, but also folks like Deep North for the retail edge analytics in data management, using your Supercloud analogy, Dave the sa, right? This is our SAS layer. We've announced that we're collaborating, partnering with folks like Snowflake and, and there's other data management companies as well to really simplify data access and accelerate those data insights. And then given customers choice of where they'd like to have their IT and their infrastructure, we've we're expanding our colo partnerships as well with folks like Equinox and, and they're allowing us to broaden our availability of Apex, providing customers the flexibility, take advantage of those as a service offerings wherever it's delivered and where they can get the most value. So those are just some you can hear from me. I think it's critical not only for, for us, I think it's critical for our customers. I think it's been critical, critical for the entire, you know, industry as a whole to really have that open technology ecosystem as we work with our customers on our multi-cloud solutions really to meet their needs. We'll continue to collaborate with whoever customers choose and you know, and who they want us to do business with. So I'd say a lot more coming in that space. >>So it's been an interesting three years for you, just, just over three years now since you've been made the president of the I isg. And so you had to dig in and it was obviously strange time around the world, but, but you really had to look at, okay, how do we mo modernize the platform? How do we make it, you know, cloud first? You've mentioned the edge, we're expanding. So what are the big takeaways? What do you want customers and our audience to understand? Just some closing thoughts and if you could summarize. >>Sure. So I'd say first, you know, we've discussed, we're working in a very fast paced, ever changing market with massive amounts of data that needs to be managed. It's very complex and our customers need help with that complexity. I believe that Dell Technologies is uniquely positioned to help as their multi-cloud champion. No one else can solve the breadth and depth of the challenges like we can. And we're gonna help our customers move forward when they basically moving from a multicloud by default, as we've discussed before, to multicloud by design. And I'm really excited for the opportunity to work with our customers to help them expand that ecosystem as they truly realize the future of it and, and what they're trying to accomplish. >>Jeff, thanks so much. Really appreciate your time. Always a pleasure. Go pats and we'll see you on the blog. >>Thanks Dave. >>All right, you're watching exclusive insights from Dell Technology Summit on the cube, your leader in enterprise and emerging tech coverage.

Published Date : Oct 11 2022

SUMMARY :

how the ecosystem fits in to that mosaic to close the gaps and accelerate It's great to see you and thanks for having me back on the key. But what does that all mean to you when you have to translate And I'd say the big thing coming from all of this is that both of those is driving And you can just think of that in its everywhere, right? And then you think about the security complexity that that drives We go back to that complexity and which we talked a lot about with you and and others at Dell Tech world earlier this year, you know, when you get to the stadium, you know, everybody's trying to get, get, get out to the internet of all the data in all these different places and customers, you know, So you can think private, public, And lastly, we're also scaling Apex, which, you know, well shifting from our vision, really shifting from vision to reality And as you become And to be clear, We continue to build on our first and best alliances with them in August at We'll continue to collaborate with whoever customers choose and you know, around the world, but, but you really had to look at, okay, how do we mo modernize the platform? And I'm really excited for the opportunity to work with our customers to help them expand that ecosystem as Go pats and we'll see you All right, you're watching exclusive insights from Dell Technology Summit on the cube,

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Tom Sweet | Dell Technologies Summit


 

(upbeat music) >> As we said in our analysis of Dell's future, the transformation of Dell into Dell EMC and now Dell Technologies has been one of the most remarkable stories in the history of the technology industry. After years of successfully integrated EMC and becoming VMware's number one distribution channel, the metamorphosis of Dell culminated in the spin out of VMware from Dell and a massive wealth creation milestone pending of course the Broadcom acquisition of VMware. So where's that leave Dell and what does the future look like for this technology powerhouse? Hello, and welcome to theCUBE's exclusive coverage of Dell Technologies Summit 2022. My name is Dave Vellante and I'll be hosting the program. Today, in conjunction with the Dell Tech Summit, we'll hear from four of Dell senior executives. Tom Sweet is the CFO of Dell Technologies. He's going to share his views of the company's position and opportunities and answer the question why is Dell a good long term investment? Then we'll hear from Jeff Boudreau, who's the president of Dell's ISG business unit. He's going to talk about the product angle and specifically how Dell is thinking about solving the multi-cloud challenge. And then Sam Groccot is the senior vice President of marketing. He's going to come in the program and give us the update on Apex, which is Dell's as-a-service offering. And a new edge platform called Project Frontier. By the way, it's also Cybersecurity Awareness Month and we're going to see if Sam has any stories there. And finally, for a company that's nearly 40 years old, Dell has some pretty forward thinking philosophies when it comes to its culture and workforce. And we're going to speak with Jen Saavedra who's Dell's Chief Human Resource officer about hybrid work and how Dell is thinking about the future of work. We're going to geek out all day and talk multi-cloud and Edge and latency, but first, let's talk wallet. Tom Sweet, CFO, and one of Dell's key business architects. Welcome back to "theCUBE." >> Dave, it's good to see you and good to be back with you, so thanks for having me today. >> Yeah, you bet. Tom, it's been a pretty incredible past 18 months. Not only the pandemic and all that craziness, but the VMware spin. You had to give up your gross margin pinky, just kidding, and of course the macro environment. I'm so sick of talking about the macro. But putting that aside for a moment what's really remarkable is that for a company of your size, you've had some success at the top line which I think surprised a lot of people. What are your reflections on the last 18 to 24 months? >> Well Dave, it's been an incredible, not only last 18 months, but the whole transformation journey if you think all the way back maybe to the LBO and forward from there. But stepping into the last 18 months, it's, I think I remember talking with you and saying, "Hey, the scenario planning we did at the beginning of this pandemic journey was 30 different scenarios roughly, and none of which sort of panned out the way it actually did," which was a pretty incredible growth story. As we think about how we helped customers, drive workforce productivity, enable their business model during the all remote work environment that was the pandemic created. And couple that with the rise then and the infrastructure spin as we got towards the tail end of the pandemic coupled with the spin out of VMware, which culminated last November as we completed that, which unlocked a pathway back to investment grade, which then unlocked, quite frankly shareholder value, capital allocation frameworks. It's really been a remarkable 18, 24 months. It's, it's never dull at Dell Technologies. Let me put it that way. >> Well, I was impressed with you Tom before the leverage buyout and then what I've seen you guys navigate through is truly amazing. Well, let's talk about the challenging macro. I mean, I've been through a lot of downturns but I've never seen anything quite like this with Fed tightening, and you're combating inflation, you got this recession looming. There's a bear market. You got, but you got zero unemployment, you're rising wages, strong dollar, and it's very confusing. But IT spending is, it's somewhat softer, but it's still not bad. How are you seeing customers behave? How is Dell responding? >> Yeah look, if you think about the markets we play in Dave, we should start there as a grounding. The total market, the core market that we think about is roughly $750 billion or so, if you think about our core IT services capability. If you couple that with some of the growth initiatives that we're driving and the adjacent markets that that that brings in, you're roughly talking a 1.4 to $1.5 trillion market opportunity total addressable market. And so from that perspective we're extraordinarily bullish on where are we in the journey as we continue to grow and expand. We have, we're number one share in just about every category that we plan, but yet when you look at that, number one share in some of these, our highest share position may be low 30s and maybe in the high end of storage or at the upper end of 30s or 40%. But the opportunity there to continue to expand the core and continue to take share and outperform the market is truly extraordinary. So if you step back and think about that, then you say, okay, what have we seen over the last number of months and quarters? It's been really great performance through the pandemic as you highlighted. We actually had a really strong first half of the year of our fiscal year '23 with revenue up 12% operating income, up 12% for the first half. What we talked about if you might recall in our second quarter earnings was the fact that we were starting to see softness. We had seen it in the consumer PC space, which is not a big area of focus for us in the sense of our total revenue stream. But we started to see commercial PC soften and we were starting to see server demand soften a bit and storage demand was holding quite frankly. And so we gave a framework around guidance for the rest of the year as a result of what we were seeing. The macro environment as you highlighted continues to be challenging. If you look at inflation rates and the efforts by central banks across the globe through interest rate rise to press down and constrain growth and push down inflation, you couple that with supply chain challenges that continue particularly in the ISG space. And then you couple that with the Ukraine war and the energy crisis that that's created. And particularly in Europe, it's a pretty dynamic environment. But I'm confident, I'm confident in the long term. But I do think that there is, there's navigation that we're going to have to do over the coming number of quarters. Who knows quite how long. To make sure the business is properly positioned and we've got a great portfolio and you're going to talk to some of the team later on as you think your way through some of the solution capabilities we're driving, what we're seeing around technology trends. So the opportunity is there. There's some short term navigation that we're going to need to do just to make sure that we address some of the environmental things that we're seeing right now. >> Yeah, and as a global company of course you're converting local currencies back to appreciated dollars. That's another headwind. But as you say, I mean, that's math and you're navigating it. And again, I've seen a lot of downturns, but the best companies not only weather their storm, but they invest in ways they that allow them to come out the other side stronger. So I want to talk about that longer term opportunity the relationship between the core, the the business growth. You mentioned the TAM. I mean, even as a lower margin business, if you can penetrate that big of a TAM, you could still throw off a lot of cash and you've got other levers to turn in potentially acquisitions and software. But so ultimately what gives you confidence in Dell's future? How should we think about Dell's future? >> Yeah look, I think it comes down to we are extraordinarily excited about the opportunity over the long term. Digital transformation continues. I am on numerous customer and CIO conference calls every week. Customers are continuing to invest in digital transformation, in infrastructure, to enable their business model. Yes, maybe it's going to slow or pause, or maybe they're not going to invest quite at the same rate over the next number of quarters but over the long term the needs are there. You look at what we're doing around the growth opportunities that we see, not only in our core space where we continue to invest, but also in the, what we call the strategic adjacencies. Things like 5G and modern telecom infrastructure as our, the telecom providers across the globe open up their what previous been closed ecosystems to open architecture. You think about, what we're doing around the EDGE and the distribution now that we're seeing of compute and storage back to the edge given data, gravity, and latency matters. And so we're pretty bullish on the opportunity in front of us. Yes, we will, and we're continuing to invest. And you hear Jeff Boudreau talk about that I think later on in the program. So I'm excited about the opportunities and you look at our cash flow generation capability, we are in in normal times a cash flow generation machine and we'll continue to do so. We've got a negative CCC in terms of how do we think about efficiency of working capital? And we look at our capital allocation strategy which has now returned somewhere in near 60% of our free cash flow back to shareholders. And so, there's lots to, lots of reasons to think about why this, we are a great sort of, I think value creation opportunity in a over the long term. That the long term trends are with us and I expect them to continue to be so. >> Yeah, and you guys, you do what you say you're going to do. I mean, I said in my other piece that I did recently, I think you guys put $46 billion on the balance sheet in terms of debt. That's down to I think 16 billion in the core which that's quite remarking. That gives you some other opportunities. Give us your closing thoughts. I mean, you kind of just addressed why Dell is a good long term play, but I'll give you an opportunity to bring us home. >> Hey Dave, yeah look, I just think if you look at the grid, the market opportunity, the size and scale of Dell and how we think about the competitive advantages that we have, we can, if you look at say we're a hundred billion dollar revenue company which we were last year as we reported. Roughly 60, 65 billion of that in the client in PC space, roughly 35 to 40 billion in the ISG or infrastructure space. Those markets are going to continue. The opportunity to grow share, grow at a premium to the market, drive cash flow, drive share gain is clearly there. And couple that with what we think the opportunity is in these adjacent markets, whether it's telecom, the EDGE, what we're thinking around data services, data management, we, and you put that together with the long term trends around data creation and digital transformation. We are extraordinarily well positioned. We have the largest direct selling organization in the technology space. We have the largest supply chain. Our services footprint. Well positioned in my mind to take advantage of the opportunities as we move forward. >> Well Tom I really appreciate you taking the time to speak with us. Good to see you again. >> Nice seeing you. Thanks Dave. >> All right, you're watching theCUBE's exclusive behind the scenes coverage of Dell Technology Summit 2022. In a moment, I'll be back with Jeff Boudreau. He's the president of Dell's ISG Infrastructure Solutions Group. He's responsible for all the important enterprise business at Dell, and we're excited to get his thoughts. Keep it right there. (upbeat music)

Published Date : Oct 7 2022

SUMMARY :

and opportunities and answer the question and good to be back with you, and of course the macro environment. and the infrastructure spin the challenging macro. and maybe in the high end of but the best companies not and the distribution now 16 billion in the core of the opportunities as we move forward. Good to see you again. He's the president

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(upbeat music) >> As we said in our analysis of Dell's future, the transformation of Dell into Dell EMC and now Dell Technologies has been one of the most remarkable stories in the history of the technology industry. After years of successfully integrated EMC and becoming VMware's number one distribution channel, the metamorphosis of Dell culminated in the spin out of VMware from Dell and a massive wealth creation milestone pending of course the Broadcom acquisition of VMware. So, where's that leave Dell and what does the future look like for this technology powerhouse? Hello and welcome to the Cube's exclusive coverage of Dell Technologies Summit 2022. My name is Dave Vellante, and I'll be hosting the program. Today in conjunction with the Dell Tech Summit. We'll hear from four of Dell senior executives. Tom Sweet is the CFO of Dell Technologies. He's going to share his views of the company's position and opportunities and answer the question, why is Dell a good long term investment? Then we'll hear from Jeff Boudreau, who's the president of Dell's ISG business unit, who's going to talk about the product angle and specifically how Dell is thinking about solving the multi-cloud challenge. And then Sam Grocott is the Senior Vice President of Marketing is going to come in the program and give us the update on APEX which is Dell's as-a-service offering and a new edge platform called Project Frontier. By the way, it's also Cybersecurity Awareness Month, and we're going to see if Sam has any stories there. And finally, for a company that's nearly 40 years old, Dell has some pretty forward thinking philosophies when it comes to its culture and workforce. And we're going to speak with Jen Saavedra, who's Dell's chief Human Resource officer about hybrid work and how Dell is thinking about the future of work. We're going to geek out all day and talk multi-cloud and edge and latency, but first, let's talk wallet. Tom Sweet CFO, and one of Dell's key business architects. Welcome back to The Cube. >> Dave, it's good to see you and good to be back with you. So, thanks for having me today. >> Yeah, you bet. Tom, it's been a pretty incredible past 18 months. Not only the pandemic and all that craziness but the VMware spin. You had to give up your gross margin binky just kidding, and of course the macro environment. I'm so sick of talking about the macro but putting that aside for a moment, what's really remarkable is that for a company at your size you've had some success at the top line which I think surprised a lot of people. What are your reflections on the last 18 to 24 months? >> Well, Dave, it's been an incredible, not only last 18 months but the whole transformation journey. If you think all the way back maybe to the LBO and forward from there, but, you know stepping into the last 18 months, it's, you know, I think I remember talking with you and saying, Hey you know, the scenario planning we did at the beginning of this pandemic journey was, you know 30 different scenarios roughly, and none of which sort of panned out the way it actually did which was a pretty incredible growth story as we think about how we helped customers, you know drive workforce productivity, enable their business model during the all remote work environment, that was the pandemic created. And couple that with the, you know, the rise then in the infrastructure spin as we got towards the tail end of the, of the pandemic coupled with, you know, the spin out of VMware, which culminated last November, as you know as we completed that, which unlocked a pathway back to investment grade, we still unlocked, quite frankly shareholder value, capital allocation frameworks. It's really been a remarkable, you know, 18, 24 months. It's never dull at Dell Technologies Let me put it that way. >> Well, well, I was impressed with you, Tom before the leverage buyout and then what I've seen you guys navigate through is truly amazing. Well, let's talk about the challenging macro. I mean, I've been through a lot of downturns, but I've never seen anything quite like this with fed tightening and you combating inflation, you got this recession looming, there's a bear market you got but you got zero unemployment you're rising wages, strong dollar, and it's very confusing. But IT spending is, you know, it's somewhat softer, but it's still not bad. How are you seeing customers behave? How is Dell responding? >> Yeah, look, if you think about the markets we play in Dave and we should start there as a grounding, you know, the total market, the core market that we think about is roughly 700 and, you know, $50 billion or so if you think about our core IT services capability. You couple that with some of the growth initiatives that we're driving and the adjacent markets that that brings in, you're roughly talking a 1.4 to $1.5 trillion market opportunity total addressable market. And so from, from that perspective we're extraordinarily bullish on where are we in the journey as we continue to grow and expand. You know, we have, we're number one share in just about every category that we plan but yet when you look at that, you know number one share in some of these, you know our highest share position may be, you know low 30s and maybe in the high end of storage you're at the upper end of 30 or 40%. But the opportunity there to continue to expand the core and continue to take share and outperform the market is truly extraordinary. So, if you step back and think about that, then you say, okay, what have we seen over the last number of months and quarters? It's been, you know, really great performance through the pandemic as, as you highlighted. We actually had a really strong first half of the year of our fiscal year 23 with revenue up 12% operating income up 12% for the first half. You know, what we talked about is you, if you might recall in our second quarter earnings was the fact that we were starting to see softness. We had seen it in the consumer PC space which is not a big area of focus for us in the sense of our, our total revenue stream. But we started to see commercial PC soften, and we were starting to see server demand soften a bit and storage demand was, was holding quite frankly. And so, we gave a a framework around guidance for the rest of the year as a result of what we were seeing. You know, the macro environment as you highlight it continues to be challenging. You know, if you look at inflation rates and the efforts by central banks across the globe to with through interest rate rise to press down and and constrain growth and push down inflation, you couple that with supply chain challenges that continue particularly in the ISG space. And then you couple that with the Ukraine war and the energy crisis that that's created. And particularly in Europe it's a pretty dynamic environment. And, but I'm confident, you know, I'm confident in the long term, but I do think that there is, you know that there's navigation that we're going to have to do over the coming number of quarters who knows quite how long, you know, to make sure the business is properly positioned then. You know we've got a great portfolio and you're going to talk to some of the team later on as you think your way through some of the solution capabilities we're driving what we're seeing around technology trends. So the opportunities there, there's some short term navigation that we're going to need to do just to make sure that we address some of the, you know, some of the environmental things that we're seeing right now. >> Yeah and as a global company, of course you're converting local currencies back to appreciated dollars. That's, that's, that's another headwind. But as you say, I mean that's math and you're navigating it. And again, I've seen a lot of downturns, but you know the best companies not only weather their storm, but they invest in ways they that allow them to cut out come out the other side stronger. So, I want to talk about that longer term opportunity, the relationship between the core, the business growth. You mentioned the TAM, I mean, even as a lower margin business, if you can penetrate that big of a TAM, you could still throw off a lot of cash and you've got other levers to turn in potentially acquisitions and software but so ultimately what gives you confidence in Dell's future? How should we think about Dell's future? >> Yeah, look, I think it comes down to, we are extraordinarily excited about the opportunity over the long term, digital transformation continues. I am on numerous customer and CIO conference calls every week. Customers are continuing to invest in digital transformation in infrastructure to enable their business model. Yes, maybe it's going to slow or, or pause or maybe they're not going to invest quite at the same rate over the next number of quarters but over the long term the needs are there. You look at what we're doing around the growth opportunities that we see, not only in our core space where we continue to invest but also in the, what we call the strategic adjacencies. Things like 5G and modern telecom infrastructure as our the telecom providers across the globe open up their what previous been closed ecosystems, you know to open architecture. You think about, you know, what we're doing around the edge and the distribution now that we're seeing of compute and storage back to the edge given data gravity and latency matters. And so we're pretty bullish on the opportunity in front of us. You know, yes, we will, we're continuing to invest. And you'll hear Jeff Boudreau talk about that I think later on in the program. So, I'm excited about the opportunities and you look at our cash flow generation capability, you know, we are in normal times a cash flow generation machine and we'll continue to do so. You know, we've got a negative, you know CCC in terms of, you know how do we think about efficiency of working capital? And we look at our, you know our capital allocation strategy which has now returned, you know, somewhere in near 60% of our free cash flow back to shareholders. And so, you know, there's lots to, lots of reasons to think about why this, you know, we are a great sort of, I think value creation opportunity in a over the long term that the long term trends are with us and I expect them to continue to be so. >> Yeah, and you guys, you do what you say you're going to do. I mean, I said in my, in my other piece that I did recently, I think you guys put 46 billion dollars on the balance sheet in terms of debt. That's down to I think 16 billion in the core which that's quite remarking. That gives you some other opportunities. Give us your, your closing thoughts. I mean, you kind of just addressed why Dell is a good long term play but I'll give you an opportunity to bring us home. >> Hey, Dave yeah look, I just think if you look at the grin, the market opportunity the size and scale of Dell and how we think about the competitive advantages that we have, we come you know, if you look at, say we're a hundred billion dollar revenue company which we were year, you know, last year that as we reported, roughly 60, 65 billion of that in the client in PC space, roughly, you know, 35 to 40 billion in the ISG or infrastructure space, those markets are going to continue. The opportunity to grow share, grow at a premium to the market, drive cash flow, drive share gain is clearly there. You couple that with, you know what we think the opportunity is in these adjacent markets, whether it's telecom, the edge, what we're thinking around data services, data management you know, we, and you've cut, you put that together with the long term trends around, you know data creation and digital transformation. We are extraordinarily well positioned. We have the largest direct selling organization in the technology space. We have the largest supply chain, our services footprint you know, well positioned in my mind to take advantage of the opportunities as we move forward. >> Well, Tom really appreciate you taking the time to speak with us. Good to see you again. >> Nice seeing you. Thanks Dave. >> All right. You're watching The Cube's exclusive behind the scenes coverage of Dell Technology Summit 2022. In a moment, I'll be back with Jeff Boudreau. He's the president of Dell's ISG Infrastructure Solutions Group. He's responsible for all the important enterprise business at Dell and we're excited to get his thoughts. Keep it right there. (upbeat jingle)

Published Date : Oct 6 2022

SUMMARY :

and opportunities and answer the question, Dave, it's good to see you and of course the macro environment. in the infrastructure spin as and then what I've seen you guys navigate But the opportunity there to continue of downturns, but you know that the long term trends are with us Yeah, and you guys, of that in the client in PC space, Good to see you again. Nice seeing you. He's the president of Dell's ISG

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The Future of Dell Technologies


 

(upbeat music) >> The transformation of Dell into Dell EMC and now Dell Technologies has been one of the most remarkable stories in the history of the enterprise technology industry. The company has gone from a Wall Street darling rocket ship PC company, to a middling enterprise player forced to go private, to a debt-laden powerhouse that controlled one of the most valuable assets in enterprise tech i.e VMware. And now is a 100 billion dollar giant with a low margin business, a strong balance sheet, and the broadest hardware portfolio in the industry. Financial magic that Dell went through would make anyone's head spin. The last lever of Dell EMC, of the Dell EMC deal was detailed in Michael Dell's book, "Play Nice But Win." In a captivating chapter called Harry You and the Bolt from the Blue, Michael Dell described how he and his colleagues came up with the final straw of how to finance the deal. If you haven't read it, you should. And, of course, after years of successfully integrating EMC and becoming VMware's number one distribution channel, all of this culminated in the spin out of VMware from Dell in a massive wealth creation milestone. Pending, of course, the Broadcom acquisition of VMware. So where's that leave Dell and what does the future look like for this technology powerhouse? Hello, and welcome to theCUBE's exclusive coverage of Dell Technology Summit 2022. My name is Dave Vellante and I'll be hosting the program. Now, today in conjunction with the Dell Tech Summit, we're going to hear from four of Dell's senior executives Tom Sweet, who's the CFO of Dell Technologies. He's going to share his views on the company's position and opportunities going forward. He's going to answer the question, why is Dell a good long-term investment? Then we'll hear from Jeff Boudreau who's the president of Dell's ISG business. That unit is the largest profit driver of Dell. He's going to talk about the product angle and specifically, how Dell is thinking about solving the multi-cloud challenge. And then Sam Grocott who is the senior vice president of marketing will come on the program and give us the update on Apex, which is Dell's as-a-service offering, and then the new edge platform called Project Frontier. Now, it's also Cyber Security Awareness month that we're going to see if Sam has anything to say about that. Then finally, for a company that's nearly 40 years old, Dell actually has some pretty forward-thinking philosophies when it comes to its culture and workforce. And we're going to speak with Jennifer Saavedra who's Dell's chief human resource officer about hybrid work and how Dell is thinking about the future of work. However, before we get into all this, I want to share our independent perspectives on the company and some research that will introduce to frame the program. Now, as you know, we love data here at theCUBE and one of our partners, ETR has what we believe is the best spending intentions data for enterprise tech. So here's a graphic that shows ETR's proprietary net score methodology in the vertical axis. That's a measure of spending velocity. And on the x-axis is overlap of pervasiveness in the data sample. This is a cut for just the server, the storage, and the client sectors within the ETR taxonomy. So you can see Dell CSG products, laptops in particular are dominant on both the X and the Y dimensions. CSG is the client solutions group and accounts for nearly 60% of Dell's revenue and about half of its operating income. And then the arrow signifies that dot that represents Dell's ISG business that we're going to talk to Jeff Boudreau about. That's the infrastructure solutions group. Now, ISG accounts for the bulk of the remainder of Dell's business and it is, as I said, it's most profitable from a margin standpoint. It comprises the EMC storage business as well as the Dell server business and Dell's networking portfolio. And as a note, we didn't include networking in that cut. Had we done so, SISCO would've dominated the graphic. And frankly, Dell's networking business is an industry-leading in the same way that PCs, servers, and storage are. And as you can see, the data confirms the leadership position Dell has in its client side, its server and its storage sectors. But the nuance is look at that red dotted line at 40% on the vertical axis. That represents a highly elevated net score and every company in the sector is below that line. Now, we should mention that we also filtered the data for those companies with more than a 100 mentions in the survey, but the point remains the same. This is a mature business that generally is lower margin. Storage is the exception but cloud has put pressure on margins even in that business in addition to the server space. The last point on this graphic is we put a box around VMware and it's prominently present on both the X and Y dimensions. VMware participates with purely software-defined high margin offerings in these spaces, and it gives you a sense of what might have been had Dell chosen to hold onto that asset or spin it into the company. But let's face it, the alternatives from Michael Dell were just too attractive and it's unlikely that a spin in would've unlocked the value in the way a spin-out did, at least not in the near future. So let's take a look at the snapshot of Dell's financials to give you a sense of where the company stands today. Dell is a company with over a 100 billion dollars in revenue. Last quarter, it did more than 26 billion in revenue and grew at a quite amazing 9% rate for a company that size. But because it's a hardware company primarily, its margins are low with operating income 10% of revenue and at 21% gross margin. With VMware on Dell's income statement, before the spin its gross margins were in the low 30s. Now, Dell only spends about 2% of revenue on R&D because because it's so big, it's still a lot of money. And you can see it is cash flow positive, Dell's free cash flow over the trailing 12-month period is 3.7 billion but that's only 3.5% of trailing 12-month revenue. Dell's Apex and of course it's hardware maintenance business is recurring revenue and that is only about 5 billion in revenue and it's growing at 8% annually. Now having said that, it's the equivalent of Service now's total revenue. Of course, Service now has 23% operating margin and 16% free cash flow margin and more than $5 billion in cash on the balance sheet and an 85 billion dollar market cap. That's what software will do for you. Now, Dell, like most companies, is staring at a challenging macro environment with FX headwinds, inflation, et cetera. You've heard the story, and hence it's conservative and contracting revenue guidance. But the balance sheet transformation has been quite amazing thanks to VMware's cash flow. Michael Dell and his partners from Silver Lake et al, they put up around $4 billion of their own cash to buy EMC for $67 billion and of course got VMware in the process. Most of that financing was debt that Dell put on its balance sheet to do the transaction to the tune of $46 billion it added to the balance sheet debt. Now, Dell's debt, the core debt, net of its financing operation is now down to 16 billion and it has 7 billion in cash in the balance sheet. So dramatic delta from just a few years ago. So pretty good picture. But Dell, a 100 billion company, is still only valued at 28 billion or around 26 cents on the revenue dollar. HPE's revenue multiple is around 60 cents on the revenue dollar. HP Inc, Dell's laptop and PC competitor, is around 45 cents. IBM's revenue multiple is almost two times. By the way, IBM has more than $50 billion in debt thanks to the Red Hat acquisition. And Cisco has a revenue multiple, it's over 3X, about 3.3X currently. So is Dell undervalued? Well, based on these comparisons with its peers, I'd say yes and no. Dell's performance relative to its peers in the market is very strong. It's winning and has an extremely adept go to market machine. But it's lack of software content and it's margin profile leads one to believe that if it can continue to pull some valuation levers while entering new markets, it can get its valuation well above where it is today. So what are some of those levers and what might that look like going forward? Despite the fact that Dell doesn't have a huge software revenue component, since spinning out VMware, and it doesn't own a cloud, it plays in virtually every part of the hardware market. And it can provide infrastructure for pretty much any application, in any use case, in pretty much any industry, in pretty much any geography in the world and it can serve those customers. So its size is an advantage. However, the history for hardware-heavy companies that try to get bigger has some notable failures. Namely HP which had to split into two businesses, HP Inc and HPE, and IBM which has had in abysmal decade from a performance standpoint and has had to shrink to grow again and obviously do a massive $34 billion acquisition of Red Hat. So why will Dell do any better than these two? Well, it has a fantastic supply chain. It's a founder-led company which makes a cultural difference, in our view, and it's actually comfortable with a low margin software light business model. Most certainly, IBM wasn't comfortable with that and didn't have these characteristics and HP was kind of just incomprehensible at the end. So Dell in my opinion is a much better chance of doing well at a 100 billion or over, but we'll see how it navigates through the current headwinds as it's guiding down. Apex is essentially Dell's version of the cloud. Now remember, Dell got started late. HPE is further along from a model standpoint with GreenLake. But Dell has a larger portfolio so they're going to try to play on that advantage. But at the end of the day, these as-a-service offerings are simply ways to bring a utility model to existing customers and generate recurring revenue. And that's a good thing because customers will be loyal to an incumbent if it can deliver as-a-service and reduce risk for customers. But the real opportunity lies ahead, specifically Dell is embracing the cloud model. It took a while, but they're on board. As Matt Baker, Dell's senior vice president of corporate strategy likes to say, it's not a zero sum game. What he means by that is just because Dell doesn't own its own cloud, it doesn't mean Dell can't build value on top of hyperscale clouds, what we call super cloud. And that's Dell's strategy to take advantage of public cloud CapEx and connect on-prem to the cloud, create a unified experience across clouds and out to the edge. That's ambitious and technically it's non-trivial. But listen to Dell's vice chairman and co-COO Jeff Clarke explain this vision. Please play the clip. >> You said also technology and business models are tied together and enabler. If you believe that, then you have to believe that it's a business operating system that they want. They want to leverage whatever they can and at the end of the day, they have to differentiate what they do. >> No, that's exactly right. If I take that and what Dave was saying and I summarize it the following way. If we can take these cloud assets and capabilities, combine them in an orchestrated way to deliver a distributed platform, game over. >> Yeah, pretty interesting, right? John Freer called it a business operating system. Essentially, I think of it sometimes as a cloud operating system or cloud operating environment to drive new business value on top of the hyperscale CapEx. Now, is it really game over as Jeff Clarke said, if Dell can do that? I'd say if it had that today, it might be game over for the competition but this vision will take years to play out, and of course it's got to be funded. And now it's going to take time and in this industry, it tends to move, companies tend to move in lockstep. So as often as the case, it's going to come down to execution and Dell's ability to enter new markets that are ideally, at least from my perspective, higher margin. Data management, extending data protection into cyber security as an adjacency and, of course, edge at Telco slash 5G opportunities. All there for the taking. I mean, look, even if Dell doesn't go after more higher margin software content, it can thrive with a lower margin model just by penetrating new markets and throwing off cash from those markets. But by keeping close to customers and maybe through tuck in acquisitions, it might be able to find the next nugget beyond today's cloud and on-prem models. And the last thing I'll call out is ecosystem. I say here ecosystem, ecosystem, ecosystem. Because a defining characteristic of a cloud player is ecosystem and if Apex is Dell's cloud, it has the opportunity to expand that ecosystem dramatically. This is one of the company's biggest opportunities and challenges at the same time, in my view. It's just scratching the surface on its partner ecosystem. And it's ecosystem today is is both reseller heavy and tech partner heavy. And that's not a bad thing, but it's starting to evolve more rapidly. The snowflake deal is an example of up to stack evolution. But I'd like to see much more out of that Snowflake relationship and more relationships like that. Specifically, I'd like to see more momentum with data and database. And if we live at a data heavy world, which we do, where the data and the database and data management offerings coexist and are super important to customers, I'd like to see that inside of Apex. I'd like to see that data play beyond storage which is really where it is today and it's early days. The point is, with Dell's go to market advantage, which company wouldn't treat Dell like the on-prem, hybrid, edge, super cloud player, that I want to partner with to drive more business? You'd be crazy not to. But Dell has a lot on its plate and we'd like to see some serious acceleration on the ecosystem front. In other words, Dell as both a selling partner and a business enabler with its platform. Its programmable infrastructure as-a-service. And that is a moving target that will rapidly involve. And, of course, we'll be here watching and reporting. So thanks for watching this preview of Dell Technology Summit 2022. I'm Dave Vellante, we hope you enjoy the rest of the program. (upbeat music)

Published Date : Oct 6 2022

SUMMARY :

and every company in the and at the end of the day, and I summarize it the following way. it has the opportunity to expand

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Sam Grocott, Dell Technologies | Dell Technologies Summit 2022


 

(bright music) >> Hello everyone, this is Dave Vellante, and you're watching The Cube's coverage of the Dell Technology Summit 2022, with exclusive behind the scenes interviews featuring Dell executive perspectives. And right now we're going to explore Apex, which is Dell's As-a-Service offering, Dell's multi-cloud and Edge strategies, and the momentum around those. And we have news around Project Frontier, which is Dell's vision for its Edge platform. And there's so much happening here. And don't forget, it's Cyber Security Awareness Month. Sam Grocott is here. He's the Senior Vice President of Marketing at Dell Technologies. Sam, always great to see you. How you doing? >> Always great to be here, Dave. >> All right, let's look at cloud. Everybody's talking about cloud Apex, multi-cloud. What's the update? How's it going? Where's the innovation and focal points of the strategy? >> Yeah, yeah. Look, Dave, if you think back over the course of this year, you've really heard us pivot as a company and discussing more and more about how multi-cloud is becoming a reality for our customers today. And when we listen and talk with our customers, they really describe multi-cloud challenges in a few key threads. One, the complexity is growing very, very quickly. Two, they're having a harder time controlling how their users are accessing the various different clouds. And then of course, finally, the cloud costs are growing unchecked, as well. So we like to describe this phenomenon as multi-cloud by design, where essentially organizations are waking up and seeing cloud sprawl around their organization every day. And this is creating more and more of those challenges. So of course at Dell we've got a strong point of view that you don't need to build multi-cloud by default, rather it's multi-cloud by design, where you're very intentional in how you do multi-cloud. And how we deliver multi-cloud by design is through Apex. Apex is our modern cloud and our modern consumption experience. So when you think about the innovation as well, Dave like, we've been on a pretty quick track record here in that, you know, the beginning of this year we introduced brand new Apex backup services that provides that SAS-based backup service. We've introduced, or announced, Project Alpine which is bringing our storage software intellectual property from on-prem, and putting it and running it natively in the public cloud. We've also introduced new Apex cyber recovery services that is simplifying how customers protect against cyber attacks. They can run in Amazon, Azure, AW I'm sorry, Amazon, AWS, Azure, or Google. And then, you know, we are really focused on this multi-cloud ecosystem. We announced key partnerships with SAS providers such as Snowflake, where you can now access our information, or our data, from on-prem through the Snowflake cloud. Or if needed, we can actually move the data to the Snowflake cloud, if required. So we're continuing to build out that ecosystem SAS providers. And then finally I would say, you know, we made a big strategic announcement just recently with Red Hat, where we're not only delivering new Apex container services, but we announced a strategic partnership to build jointly engineered solutions to address hybrid and multi-cloud solutions going forward. You know VMware is going to always continue to be a key partner of ours. At the more recent VMware explorer, we announced new Tansu integration. So Dave, I think in a nutshell, we've been innovating at a very, very fast pace. We think there is a better way to do multi-cloud and that's multi-cloud by design. >> Yeah, we heard that at Dell Technologies World. First time I had heard that multi-cloud by design versus to the default, which is great. Alpine, which is sort of our, what we call, "super cloud in the making." And then of course the ecosystem is critical for any cloud company. VMware of course, you know, top partner. But the Snowflake announcement was very interesting. Red Hat, so seeing that expand. Now let's go out to the Edge. How's it going with the Edge expansion? There's got to be new, speaking of ecosystem, the Edge is like a whole different you know, OT type of ecosystem, >> That's right. Telcos. And what's this new Frontier platform all about? >> Yeah, yeah. So we've talked a lot about cloud and multi-clouds. We've talked about private and hybrid clouds. We've talked about public clouds, clouds and Kronos, Telcos, et cetera. There's really been one key piece of our multi-cloud and technology strategy that we haven't spent a lot of time on. And that's the Edge. And we do see that as that next frontier for our customers to really gain that competitive advantage that is created from their data and get closer to the point of creation where the data lives, and that's at the Edge. We see the Edge infrastructure space growing very, very quickly. We've seen upwards of 300% year-of-year growth in terms of amount of data being created at the Edge. That's almost 3000 exabytes of data by 2026. So just incredible growth. And the Edge is not really new for Dell. We've been at it for over 20 years of delivering Edge solutions. 81% of the Fortune 100 companies in the US use Dell Solutions today at the Edge. And we are the number one OEM provider of Edge Solutions with over 44,000 customers across over 40 industries in things like manufacturing, retail, Edge, healthcare, and more. So Dave, while we've been at it for a long time, we have such a deep understanding of how our customers are using Edge Solutions. Say, the bottom line is the game has got to change. With that growth that we talked about, the new use cases that are emerging, we've got to unlock this new Frontier for customers to take advantage of the Edge. And that's why we are announcing and revealing Project Frontier. And with Project Frontier in its most simplest form is a software platform that's going to help customers and organizations really radically simplify their edge deployments by automating their edge operations. You know, with Project Frontier organizations are really going to be able to manage, and operate their edge infrastructure and application securely, efficiently, and at scale. >> Okay, so it is, first of all, I like the name. It is software, it's a software architecture. So presumably a lot of API capabilities. >> That's right. >> Integration. Is there hardware involved? >> Yeah, so of course you'll run it on a Dell infrastructure. We'll be able to do both infrastructure orchestration through the platform, but as well as application orchestration. And you know, really there's a handful of key drivers that have been really pushing our customers to take on and look at building a better way to do the edge with Project Frontier. And I think I would just highlight a handful of them. You know, freedom of choice. We definitely see this as an open ecosystem out there even more so at the Edge than any other part of the IT stack. You know, being able to provide that freedom of choice for software applications or IoT frameworks, operational technology, or OT for any of their edge use cases, that's really, really important. Another key area that we're helping to solve with Project Frontier is, you know, being able to expect zero trust security across all their Edge applications, from design to deployment, you know, and of course backed by a secure supply chain is really, really important to customers. And then getting that greater efficiency and reliability of operations with a centralized management through Project Frontier and Zero Touch deployments. You know, one of the biggest challenges especially when you get out to the far, far reach of the Frontier, is really IT resources and being able to have that IT expertise. And we built in an enormous amount of automation to help streamline the Edge deployments where you might be deploying a single-edge solution which is highly unlikely, or hundreds or thousands, which is becoming more and more likely. So Dave, we do think Project Frontier is the right Edge platform for customers to build their Edge applications on now, and certain, excuse me, certainly and into the future. >> Yeah. Sam, no truck rolls. I like it. (laughing) And you, you mentioned, you mentioned Zero trust. So we have Mother's Day, you know, we have Father's Day. The kids always ask, "When's Kids' day?" And we of course we say, "Every day is Kids' Day," and every day should be Cybersecurity Awareness Day. So, (laughs) but we have Cybersecurity Awareness Month. What does it mean for Dell? What are you hearing from customers and how are you responding? >> Yeah, yeah. No, there isn't a more prevalent top-of-mind conversation, whether it's the boardroom or the IT departments, or every company is really have been forced to reckon with the cyber security and ransom secure issues out there. You know, every decision in IT department makes, impacts your security profile. Those decisions can certainly, positively, hopefully impact it, but also can negatively impact it, as well. So, data security is really not a new area of focus for Dell. It's been an area that we've been focused on for a long time. But there are really three core elements to cybersecurity and data security as we go forward. The first is really setting the foundation of trust is really, really important across any IT system and having the right supply chain and the right partner to partner with to deliver that. It's kind of the foundation in step one. Second, you need to, of course, go with technology that is trustworthy. It doesn't mean you are putting it together correctly. It means that you're essentially assembling the right piece parts together, that coexist together in the right way. You know, to truly change that landscape of the attackers out there that are going to potentially create risk for your environment, we are definitely pushing and helping to embrace the zero trust principles and architectures that are out there. So finally, while when you think about security it certainly is not absolute all correct. Security architectures assume that, you know, there are going to be challenges, there are going to be pain points, but you've got to be able to plan for recovery. And I think that's the holistic approach that we're taking with Dell. >> Well, and I think too, it's obviously security is a complicated situation. Now with cloud you've got, you know, shared responsibility models, you got that multi-cloud, you got that across clouds, you're asking developers to do more. So I think the key takeaway is as a security pro, I'm looking for my technology partner through their R&D and their, you mentioned, supply chain processes to take that off my plate so I can go plug holes elsewhere. Okay. Sam, put a bow- >> That's right. >> on Dell Technology Summit for us and give us your closing thoughts. >> Yeah, look, I think we're at a transformative point in IT. You know, customers are moving more and more quickly to multi-cloud environments. They're looking to consume IT in different ways, such as as a service. A lot of customers, Edge is new and an untapped opportunity for them to get closer to their customers and to their data. And of course there's more and more cyber threats out there every day. You know, our customers when we talk with them, they really want simple, consistent infrastructure options that are built on an open ecosystem that allows them to accomplish their goals quickly and successfully. And look, I think at Dell we've got the right strategy we've got the right portfolio. We are the trusted partner of choice to help them lead their future transformations into the future. So, Dave, look, I think it's, it's absolutely one of the most exciting times in IT, and I can't wait to see where it goes from here. >> Sam, always fun catching up with you. Appreciate your time. >> Thanks, Dave. >> All right. At Dell Tech World in Vegas this past year, one of the most interesting conversations I personally had was around hybrid work and the future of work, and the protocols associated with that, and the mindset of, you know, the younger generation. And that conversation was with Jenn Saavedra, and we're going to speak to Jenn about this and other people and culture topics. Keep it right there. You're watching The Cube's exclusive coverage of Dell Technology Summit 2022. (bright music)

Published Date : Oct 5 2022

SUMMARY :

and the momentum around those. What's the update? And then finally I would say, you know, VMware of course, you know, top partner. And what's this new the game has got to change. of all, I like the name. there hardware involved? of the Frontier, is really IT resources and how are you responding? and the right partner to to take that off my plate and give us your closing thoughts. that allows them to accomplish their goals Sam, always fun catching up with you. and the mindset of, you

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Horizon3.ai Signal | Horizon3.ai Partner Program Expands Internationally


 

hello I'm John Furrier with thecube and welcome to this special presentation of the cube and Horizon 3.ai they're announcing a global partner first approach expanding their successful pen testing product Net Zero you're going to hear from leading experts in their staff their CEO positioning themselves for a successful Channel distribution expansion internationally in Europe Middle East Africa and Asia Pacific in this Cube special presentation you'll hear about the expansion the expanse partner program giving Partners a unique opportunity to offer Net Zero to their customers Innovation and Pen testing is going International with Horizon 3.ai enjoy the program [Music] welcome back everyone to the cube and Horizon 3.ai special presentation I'm John Furrier host of thecube we're here with Jennifer Lee head of Channel sales at Horizon 3.ai Jennifer welcome to the cube thanks for coming on great well thank you for having me so big news around Horizon 3.aa driving Channel first commitment you guys are expanding the channel partner program to include all kinds of new rewards incentives training programs help educate you know Partners really drive more recurring Revenue certainly cloud and Cloud scale has done that you got a great product that fits into that kind of Channel model great Services you can wrap around it good stuff so let's get into it what are you guys doing what are what are you guys doing with this news why is this so important yeah for sure so um yeah we like you said we recently expanded our Channel partner program um the driving force behind it was really just um to align our like you said our Channel first commitment um and creating awareness around the importance of our partner ecosystems um so that's it's really how we go to market is is through the channel and a great International Focus I've talked with the CEO so you know about the solution and he broke down all the action on why it's important on the product side but why now on the go to market change what's the what's the why behind this big this news on the channel yeah for sure so um we are doing this now really to align our business strategy which is built on the concept of enabling our partners to create a high value high margin business on top of our platform and so um we offer a solution called node zero it provides autonomous pen testing as a service and it allows organizations to continuously verify their security posture um so we our company vision we have this tagline that states that our pen testing enables organizations to see themselves Through The Eyes of an attacker and um we use the like the attacker's perspective to identify exploitable weaknesses and vulnerabilities so we created this partner program from a perspective of the partner so the partner's perspective and we've built It Through The Eyes of our partner right so we're prioritizing really what the partner is looking for and uh will ensure like Mutual success for us yeah the partners always want to get in front of the customers and bring new stuff to them pen tests have traditionally been really expensive uh and so bringing it down in one to a service level that's one affordable and has flexibility to it allows a lot of capability so I imagine people getting excited by it so I have to ask you about the program What specifically are you guys doing can you share any details around what it means for the partners what they get what's in it for them can you just break down some of the mechanics and mechanisms or or details yeah yep um you know we're really looking to create business alignment um and like I said establish Mutual success with our partners so we've got two um two key elements that we were really focused on um that we bring to the partners so the opportunity the profit margin expansion is one of them and um a way for our partners to really differentiate themselves and stay relevant in the market so um we've restructured our discount model really um you know highlighting profitability and maximizing profitability and uh this includes our deal registration we've we've created deal registration program we've increased discount for partners who take part in our partner certification uh trainings and we've we have some other partner incentives uh that we we've created that that's going to help out there we've we put this all so we've recently Gone live with our partner portal um it's a Consolidated experience for our partners where they can access our our sales tools and we really view our partners as an extension of our sales and Technical teams and so we've extended all of our our training material that we use internally we've made it available to our partners through our partner portal um we've um I'm trying I'm thinking now back what else is in that partner portal here we've got our partner certification information so all the content that's delivered during that training can be found in the portal we've got deal registration uh um co-branded marketing materials pipeline management and so um this this portal gives our partners a One-Stop place to to go to find all that information um and then just really quickly on the second part of that that I mentioned is our technology really is um really disruptive to the market so you know like you said autonomous pen testing it's um it's still it's well it's still still relatively new topic uh for security practitioners and um it's proven to be really disruptive so um that on top of um just well recently we found an article that um that mentioned by markets and markets that reports that the global pen testing markets really expanding and so it's expected to grow to like 2.7 billion um by 2027. so the Market's there right the Market's expanding it's growing and so for our partners it's just really allows them to grow their revenue um across their customer base expand their customer base and offering this High profit margin while you know getting in early to Market on this just disruptive technology big Market a lot of opportunities to make some money people love to put more margin on on those deals especially when you can bring a great solution that everyone knows is hard to do so I think that's going to provide a lot of value is there is there a type of partner that you guys see emerging or you aligning with you mentioned the alignment with the partners I can see how that the training and the incentives are all there sounds like it's all going well is there a type of partner that's resonating the most or is there categories of partners that can take advantage of this yeah absolutely so we work with all different kinds of Partners we work with our traditional resale Partners um we've worked we're working with systems integrators we have a really strong MSP mssp program um we've got Consulting partners and the Consulting Partners especially with the ones that offer pen test services so we they use us as a as we act as a force multiplier just really offering them profit margin expansion um opportunity there we've got some technology partner partners that we really work with for co-cell opportunities and then we've got our Cloud Partners um you'd mentioned that earlier and so we are in AWS Marketplace so our ccpo partners we're part of the ISP accelerate program um so we we're doing a lot there with our Cloud partners and um of course we uh we go to market with uh distribution Partners as well gotta love the opportunity for more margin expansion every kind of partner wants to put more gross profit on their deals is there a certification involved I have to ask is there like do you get do people get certified or is it just you get trained is it self-paced training is it in person how are you guys doing the whole training certification thing because is that is that a requirement yeah absolutely so we do offer a certification program and um it's been very popular this includes a a seller's portion and an operator portion and and so um this is at no cost to our partners and um we operate both virtually it's it's law it's virtually but live it's not self-paced and we also have in person um you know sessions as well and we also can customize these to any partners that have a large group of people and we can just we can do one in person or virtual just specifically for that partner well any kind of incentive opportunities and marketing opportunities everyone loves to get the uh get the deals just kind of rolling in leads from what we can see if our early reporting this looks like a hot product price wise service level wise what incentive do you guys thinking about and and Joint marketing you mentioned co-sell earlier in pipeline so I was kind of kind of honing in on that piece sure and yes and then to follow along with our partner certification program we do incentivize our partners there if they have a certain number certified their discount increases so that's part of it we have our deal registration program that increases discount as well um and then we do have some um some partner incentives that are wrapped around meeting setting and um moving moving opportunities along to uh proof of value gotta love the education driving value I have to ask you so you've been around the industry you've seen the channel relationships out there you're seeing companies old school new school you know uh Horizon 3.ai is kind of like that new school very cloud specific a lot of Leverage with we mentioned AWS and all the clouds um why is the company so hot right now why did you join them and what's why are people attracted to this company what's the what's the attraction what's the vibe what do you what do you see and what what do you use what did you see in in this company well this is just you know like I said it's very disruptive um it's really in high demand right now and um and and just because because it's new to Market and uh a newer technology so we are we can collaborate with a manual pen tester um we can you know we can allow our customers to run their pen test um with with no specialty teams and um and and then so we and like you know like I said we can allow our partners can actually build businesses profitable businesses so we can they can use our product to increase their services revenue and um and build their business model you know around around our services what's interesting about the pen test thing is that it's very expensive and time consuming the people who do them are very talented people that could be working on really bigger things in the in absolutely customers so bringing this into the channel allows them if you look at the price Delta between a pen test and then what you guys are offering I mean that's a huge margin Gap between street price of say today's pen test and what you guys offer when you show people that they follow do they say too good to be true I mean what are some of the things that people say when you kind of show them that are they like scratch their head like come on what's the what's the catch here right so the cost savings is a huge is huge for us um and then also you know like I said working as a force multiplier with a pen testing company that offers the services and so they can they can do their their annual manual pen tests that may be required around compliance regulations and then we can we can act as the continuous verification of their security um um you know that that they can run um weekly and so it's just um you know it's just an addition to to what they're offering already and an expansion so Jennifer thanks for coming on thecube really appreciate you uh coming on sharing the insights on the channel uh what's next what can we expect from the channel group what are you thinking what's going on right so we're really looking to expand our our Channel um footprint and um very strategically uh we've got um we've got some big plans um for for Horizon 3.ai awesome well thanks for coming on really appreciate it you're watching thecube the leader in high tech Enterprise coverage [Music] [Music] hello and welcome to the Cube's special presentation with Horizon 3.ai with Raina Richter vice president of emea Europe Middle East and Africa and Asia Pacific APAC for Horizon 3 today welcome to this special Cube presentation thanks for joining us thank you for the invitation so Horizon 3 a guy driving Global expansion big international news with a partner first approach you guys are expanding internationally let's get into it you guys are driving this new expanse partner program to new heights tell us about it what are you seeing in the momentum why the expansion what's all the news about well I would say uh yeah in in international we have I would say a similar similar situation like in the US um there is a global shortage of well-educated penetration testers on the one hand side on the other side um we have a raising demand of uh network and infrastructure security and with our approach of an uh autonomous penetration testing I I believe we are totally on top of the game um especially as we have also now uh starting with an international instance that means for example if a customer in Europe is using uh our service node zero he will be connected to a node zero instance which is located inside the European Union and therefore he has doesn't have to worry about the conflict between the European the gdpr regulations versus the US Cloud act and I would say there we have a total good package for our partners that they can provide differentiators to their customers you know we've had great conversations here on thecube with the CEO and the founder of the company around the leverage of the cloud and how successful that's been for the company and honestly I can just Connect the Dots here but I'd like you to weigh in more on how that translates into the go to market here because you got great Cloud scale with with the security product you guys are having success with great leverage there I've seen a lot of success there what's the momentum on the channel partner program internationally why is it so important to you is it just the regional segmentation is it the economics why the momentum well there are it's there are multiple issues first of all there is a raising demand in penetration testing um and don't forget that uh in international we have a much higher level in number a number or percentage in SMB and mid-market customers so these customers typically most of them even didn't have a pen test done once a year so for them pen testing was just too expensive now with our offering together with our partners we can provide different uh ways how customers could get an autonomous pen testing done more than once a year with even lower costs than they had with with a traditional manual paint test so and that is because we have our uh Consulting plus package which is for typically pain testers they can go out and can do a much faster much quicker and their pain test at many customers once in after each other so they can do more pain tests on a lower more attractive price on the other side there are others what even the same ones who are providing um node zero as an mssp service so they can go after s p customers saying okay well you only have a couple of hundred uh IP addresses no worries we have the perfect package for you and then you have let's say the mid Market let's say the thousands and more employees then they might even have an annual subscription very traditional but for all of them it's all the same the customer or the service provider doesn't need a piece of Hardware they only need to install a small piece of a Docker container and that's it and that makes it so so smooth to go in and say okay Mr customer we just put in this this virtual attacker into your network and that's it and and all the rest is done and within within three clicks they are they can act like a pen tester with 20 years of experience and that's going to be very Channel friendly and partner friendly I can almost imagine so I have to ask you and thank you for calling the break calling out that breakdown and and segmentation that was good that was very helpful for me to understand but I want to follow up if you don't mind um what type of partners are you seeing the most traction with and why well I would say at the beginning typically you have the the innovators the early adapters typically Boutique size of Partners they start because they they are always looking for Innovation and those are the ones you they start in the beginning so we have a wide range of Partners having mostly even um managed by the owner of the company so uh they immediately understand okay there is the value and they can change their offering they're changing their offering in terms of penetration testing because they can do more pen tests and they can then add other ones or we have those ones who offer 10 tests services but they did not have their own pen testers so they had to go out on the open market and Source paint testing experts um to get the pen test at a particular customer done and now with node zero they're totally independent they can't go out and say okay Mr customer here's the here's the service that's it we turn it on and within an hour you're up and running totally yeah and those pen tests are usually expensive and hard to do now it's right in line with the sales delivery pretty interesting for a partner absolutely but on the other hand side we are not killing the pain testers business we do something we're providing with no tiers I would call something like the foundation work the foundational work of having an an ongoing penetration testing of the infrastructure the operating system and the pen testers by themselves they can concentrate in the future on things like application pen testing for example so those Services which we we're not touching so we're not killing the paint tester Market we're just taking away the ongoing um let's say foundation work call it that way yeah yeah that was one of my questions I was going to ask is there's a lot of interest in this autonomous pen testing one because it's expensive to do because those skills are required are in need and they're expensive so you kind of cover the entry level and the blockers that are in there I've seen people say to me this pen test becomes a blocker for getting things done so there's been a lot of interest in the autonomous pen testing and for organizations to have that posture and it's an overseas issue too because now you have that that ongoing thing so can you explain that particular benefit for an organization to have that continuously verifying an organization's posture yep certainly so I would say um typically you are you you have to do your patches you have to bring in new versions of operating systems of different Services of uh um operating systems of some components and and they are always bringing new vulnerabilities the difference here is that with node zero we are telling the customer or the partner package we're telling them which are the executable vulnerabilities because previously they might have had um a vulnerability scanner so this vulnerability scanner brought up hundreds or even thousands of cves but didn't say anything about which of them are vulnerable really executable and then you need an expert digging in one cve after the other finding out is it is it really executable yes or no and that is where you need highly paid experts which we have a shortage so with notes here now we can say okay we tell you exactly which ones are the ones you should work on because those are the ones which are executable we rank them accordingly to the risk level how easily they can be used and by a sudden and then the good thing is convert it or indifference to the traditional penetration test they don't have to wait for a year for the next pain test to find out if the fixing was effective they weren't just the next scan and say Yes closed vulnerability is gone the time is really valuable and if you're doing any devops Cloud native you're always pushing new things so pen test ongoing pen testing is actually a benefit just in general as a kind of hygiene so really really interesting solution really bring that global scale is going to be a new new coverage area for us for sure I have to ask you if you don't mind answering what particular region are you focused on or plan to Target for this next phase of growth well at this moment we are concentrating on the countries inside the European Union Plus the United Kingdom um but we are and they are of course logically I'm based into Frankfurt area that means we cover more or less the countries just around so it's like the total dark region Germany Switzerland Austria plus the Netherlands but we also already have Partners in the nordics like in Finland or in Sweden um so it's it's it it's rapidly we have Partners already in the UK and it's rapidly growing so I'm for example we are now starting with some activities in Singapore um um and also in the in the Middle East area um very important we uh depending on let's say the the way how to do business currently we try to concentrate on those countries where we can have um let's say um at least English as an accepted business language great is there any particular region you're having the most success with right now is it sounds like European Union's um kind of first wave what's them yes that's the first definitely that's the first wave and now we're also getting the uh the European instance up and running it's clearly our commitment also to the market saying okay we know there are certain dedicated uh requirements and we take care of this and and we're just launching it we're building up this one uh the instance um in the AWS uh service center here in Frankfurt also with some dedicated Hardware internet in a data center in Frankfurt where we have with the date six by the way uh the highest internet interconnection bandwidth on the planet so we have very short latency to wherever you are on on the globe that's a great that's a great call outfit benefit too I was going to ask that what are some of the benefits your partners are seeing in emea and Asia Pacific well I would say um the the benefits is for them it's clearly they can they can uh talk with customers and can offer customers penetration testing which they before and even didn't think about because it penetrates penetration testing in a traditional way was simply too expensive for them too complex the preparation time was too long um they didn't have even have the capacity uh to um to support a pain an external pain tester now with this service you can go in and say even if they Mr customer we can do a test with you in a couple of minutes within we have installed the docker container within 10 minutes we have the pen test started that's it and then we just wait and and I would say that is we'll we are we are seeing so many aha moments then now because on the partner side when they see node zero the first time working it's like this wow that is great and then they work out to customers and and show it to their typically at the beginning mostly the friendly customers like wow that's great I need that and and I would say um the feedback from the partners is that is a service where I do not have to evangelize the customer everybody understands penetration testing I don't have to say describe what it is they understand the customer understanding immediately yes penetration testing good about that I know I should do it but uh too complex too expensive now with the name is for example as an mssp service provided from one of our partners but it's getting easy yeah it's great and it's great great benefit there I mean I gotta say I'm a huge fan of what you guys are doing I like this continuous automation that's a major benefit to anyone doing devops or any kind of modern application development this is just a godsend for them this is really good and like you said the pen testers that are doing it they were kind of coming down from their expertise to kind of do things that should have been automated they get to focus on the bigger ticket items that's a really big point so we free them we free the pain testers for the higher level elements of the penetration testing segment and that is typically the application testing which is currently far away from being automated yeah and that's where the most critical workloads are and I think this is the nice balance congratulations on the international expansion of the program and thanks for coming on this special presentation really I really appreciate it thank you you're welcome okay this is thecube special presentation you know check out pen test automation International expansion Horizon 3 dot AI uh really Innovative solution in our next segment Chris Hill sector head for strategic accounts will discuss the power of Horizon 3.ai and Splunk in action you're watching the cube the leader in high tech Enterprise coverage foreign [Music] [Music] welcome back everyone to the cube and Horizon 3.ai special presentation I'm John Furrier host of thecube we're with Chris Hill sector head for strategic accounts and federal at Horizon 3.ai a great Innovative company Chris great to see you thanks for coming on thecube yeah like I said uh you know great to meet you John long time listener first time caller so excited to be here with you guys yeah we were talking before camera you had Splunk back in 2013 and I think 2012 was our first splunk.com and boy man you know talk about being in the right place at the right time now we're at another inflection point and Splunk continues to be relevant um and continuing to have that data driving Security in that interplay and your CEO former CTO of his plug as well at Horizon who's been on before really Innovative product you guys have but you know yeah don't wait for a breach to find out if you're logging the right data this is the topic of this thread Splunk is very much part of this new international expansion announcement uh with you guys tell us what are some of the challenges that you see where this is relevant for the Splunk and Horizon AI as you guys expand uh node zero out internationally yeah well so across so you know my role uh within Splunk it was uh working with our most strategic accounts and so I looked back to 2013 and I think about the sales process like working with with our small customers you know it was um it was still very siled back then like I was selling to an I.T team that was either using this for it operations um we generally would always even say yeah although we do security we weren't really designed for it we're a log management tool and we I'm sure you remember back then John we were like sort of stepping into the security space and and the public sector domain that I was in you know security was 70 of what we did when I look back to sort of uh the transformation that I was witnessing in that digital transformation um you know when I look at like 2019 to today you look at how uh the IT team and the security teams are being have been forced to break down those barriers that they used to sort of be silent away would not commute communicate one you know the security guys would be like oh this is my box I.T you're not allowed in today you can't get away with that and I think that the value that we bring to you know and of course Splunk has been a huge leader in that space and continues to do Innovation across the board but I think what we've we're seeing in the space and I was talking with Patrick Coughlin the SVP of uh security markets about this is that you know what we've been able to do with Splunk is build a purpose-built solution that allows Splunk to eat more data so Splunk itself is ulk know it's an ingest engine right the great reason people bought it was you could build these really fast dashboards and grab intelligence out of it but without data it doesn't do anything right so how do you drive and how do you bring more data in and most importantly from a customer perspective how do you bring the right data in and so if you think about what node zero and what we're doing in a horizon 3 is that sure we do pen testing but because we're an autonomous pen testing tool we do it continuously so this whole thought I'd be like oh crud like my customers oh yeah we got a pen test coming up it's gonna be six weeks the week oh yeah you know and everyone's gonna sit on their hands call me back in two months Chris we'll talk to you then right not not a real efficient way to test your environment and shoot we saw that with Uber this week right um you know and that's a case where we could have helped oh just right we could explain the Uber thing because it was a contractor just give a quick highlight of what happened so you can connect the doctor yeah no problem so um it was uh I got I think it was yeah one of those uh you know games where they would try and test an environment um and with the uh pen tester did was he kept on calling them MFA guys being like I need to reset my password we need to set my right password and eventually the um the customer service guy said okay I'm resetting it once he had reset and bypassed the multi-factor authentication he then was able to get in and get access to the building area that he was in or I think not the domain but he was able to gain access to a partial part of that Network he then paralleled over to what I would assume is like a VA VMware or some virtual machine that had notes that had all of the credentials for logging into various domains and So within minutes they had access and that's the sort of stuff that we do you know a lot of these tools like um you know you think about the cacophony of tools that are out there in a GTA architect architecture right I'm gonna get like a z-scale or I'm going to have uh octum and I have a Splunk I've been into the solar system I mean I don't mean to name names we have crowdstriker or Sentinel one in there it's just it's a cacophony of things that don't work together they weren't designed work together and so we have seen so many times in our business through our customer support and just working with customers when we do their pen tests that there will be 5 000 servers out there three are misconfigured those three misconfigurations will create the open door because remember the hacker only needs to be right once the defender needs to be right all the time and that's the challenge and so that's what I'm really passionate about what we're doing uh here at Horizon three I see this my digital transformation migration and security going on which uh we're at the tip of the spear it's why I joined sey Hall coming on this journey uh and just super excited about where the path's going and super excited about the relationship with Splunk I get into more details on some of the specifics of that but um you know well you're nailing I mean we've been doing a lot of things on super cloud and this next gen environment we're calling it next gen you're really seeing devops obviously devsecops has already won the it role has moved to the developer shift left is an indicator of that it's one of the many examples higher velocity code software supply chain you hear these things that means that it is now in the developer hands it is replaced by the new Ops data Ops teams and security where there's a lot of horizontal thinking to your point about access there's no more perimeter huge 100 right is really right on things one time you know to get in there once you're in then you can hang out move around move laterally big problem okay so we get that now the challenges for these teams as they are transitioning organizationally how do they figure out what to do okay this is the next step they already have Splunk so now they're kind of in transition while protecting for a hundred percent ratio of success so how would you look at that and describe the challenge is what do they do what is it what are the teams facing with their data and what's next what are they what are they what action do they take so let's use some vernacular that folks will know so if I think about devsecops right we both know what that means that I'm going to build security into the app it normally talks about sec devops right how am I building security around the perimeter of what's going inside my ecosystem and what are they doing and so if you think about what we're able to do with somebody like Splunk is we can pen test the entire environment from Soup To Nuts right so I'm going to test the end points through to its I'm going to look for misconfigurations I'm going to I'm going to look for um uh credential exposed credentials you know I'm going to look for anything I can in the environment again I'm going to do it at light speed and and what what we're doing for that SEC devops space is to you know did you detect that we were in your environment so did we alert Splunk or the Sim that there's someone in the environment laterally moving around did they more importantly did they log us into their environment and when do they detect that log to trigger that log did they alert on us and then finally most importantly for every CSO out there is going to be did they stop us and so that's how we we do this and I think you when speaking with um stay Hall before you know we've come up with this um boils but we call it fine fix verifying so what we do is we go in is we act as the attacker right we act in a production environment so we're not going to be we're a passive attacker but we will go in on credentialed on agents but we have to assume to have an assumed breach model which means we're going to put a Docker container in your environment and then we're going to fingerprint the environment so we're going to go out and do an asset survey now that's something that's not something that Splunk does super well you know so can Splunk see all the assets do the same assets marry up we're going to log all that data and think and then put load that into this long Sim or the smoke logging tools just to have it in Enterprise right that's an immediate future ad that they've got um and then we've got the fix so once we've completed our pen test um we are then going to generate a report and we can talk about these in a little bit later but the reports will show an executive summary the assets that we found which would be your asset Discovery aspect of that a fix report and the fixed report I think is probably the most important one it will go down and identify what we did how we did it and then how to fix that and then from that the pen tester or the organization should fix those then they go back and run another test and then they validate like a change detection environment to see hey did those fixes taste play take place and you know snehaw when he was the CTO of jsoc he shared with me a number of times about it's like man there would be 15 more items on next week's punch sheet that we didn't know about and it's and it has to do with how we you know how they were uh prioritizing the cves and whatnot because they would take all CBDs it was critical or non-critical and it's like we are able to create context in that environment that feeds better information into Splunk and whatnot that brings that brings up the efficiency for Splunk specifically the teams out there by the way the burnout thing is real I mean this whole I just finished my list and I got 15 more or whatever the list just can keeps growing how did node zero specifically help Splunk teams be more efficient like that's the question I want to get at because this seems like a very scale way for Splunk customers and teams service teams to be more so the question is how does node zero help make Splunk specifically their service teams be more efficient so so today in our early interactions we're building customers we've seen are five things um and I'll start with sort of identifying the blind spots right so kind of what I just talked about with you did we detect did we log did we alert did they stop node zero right and so I would I put that you know a more Layman's third grade term and if I was going to beat a fifth grader at this game would be we can be the sparring partner for a Splunk Enterprise customer a Splunk Essentials customer someone using Splunk soar or even just an Enterprise Splunk customer that may be a small shop with three people and just wants to know where am I exposed so by creating and generating these reports and then having um the API that actually generates the dashboard they can take all of these events that we've logged and log them in and then where that then comes in is number two is how do we prioritize those logs right so how do we create visibility to logs that that um are have critical impacts and again as I mentioned earlier not all cves are high impact regard and also not all or low right so if you daisy chain a bunch of low cves together boom I've got a mission critical AP uh CPE that needs to be fixed now such as a credential moving to an NT box that's got a text file with a bunch of passwords on it that would be very bad um and then third would be uh verifying that you have all of the hosts so one of the things that splunk's not particularly great at and they'll literate themselves they don't do asset Discovery so dude what assets do we see and what are they logging from that um and then for from um for every event that they are able to identify one of the cool things that we can do is actually create this low code no code environment so they could let you know Splunk customers can use Splunk sword to actually triage events and prioritize that event so where they're being routed within it to optimize the Sox team time to Market or time to triage any given event obviously reducing MTR and then finally I think one of the neatest things that we'll be seeing us develop is um our ability to build glass cables so behind me you'll see one of our triage events and how we build uh a Lockheed Martin kill chain on that with a glass table which is very familiar to the community we're going to have the ability and not too distant future to allow people to search observe on those iocs and if people aren't familiar with it ioc it's an instant of a compromise so that's a vector that we want to drill into and of course who's better at Drilling in the data and smoke yeah this is a critter this is an awesome Synergy there I mean I can see a Splunk customer going man this just gives me so much more capability action actionability and also real understanding and I think this is what I want to dig into if you don't mind understanding that critical impact okay is kind of where I see this coming got the data data ingest now data's data but the question is what not to log you know where are things misconfigured these are critical questions so can you talk about what it means to understand critical impact yeah so I think you know going back to the things that I just spoke about a lot of those cves where you'll see um uh low low low and then you daisy chain together and they're suddenly like oh this is high now but then your other impact of like if you're if you're a Splunk customer you know and I had it I had several of them I had one customer that you know terabytes of McAfee data being brought in and it was like all right there's a lot of other data that you probably also want to bring but they could only afford wanted to do certain data sets because that's and they didn't know how to prioritize or filter those data sets and so we provide that opportunity to say hey these are the critical ones to bring in but there's also the ones that you don't necessarily need to bring in because low cve in this case really does mean low cve like an ILO server would be one that um that's the print server uh where the uh your admin credentials are on on like a printer and so there will be credentials on that that's something that a hacker might go in to look at so although the cve on it is low is if you daisy chain with somebody that's able to get into that you might say Ah that's high and we would then potentially rank it giving our AI logic to say that's a moderate so put it on the scale and we prioritize those versus uh of all of these scanners just going to give you a bunch of CDs and good luck and translating that if I if I can and tell me if I'm wrong that kind of speaks to that whole lateral movement that's it challenge right print serve a great example looks stupid low end who's going to want to deal with the print server oh but it's connected into a critical system there's a path is that kind of what you're getting at yeah I use Daisy Chain I think that's from the community they came from uh but it's just a lateral movement it's exactly what they're doing in those low level low critical lateral movements is where the hackers are getting in right so that's the beauty thing about the uh the Uber example is that who would have thought you know I've got my monthly Factor authentication going in a human made a mistake we can't we can't not expect humans to make mistakes we're fallible right the reality is is once they were in the environment they could have protected themselves by running enough pen tests to know that they had certain uh exposed credentials that would have stopped the breach and they did not had not done that in their environment and I'm not poking yeah but it's an interesting Trend though I mean it's obvious if sometimes those low end items are also not protected well so it's easy to get at from a hacker standpoint but also the people in charge of them can be fished easily or spearfished because they're not paying attention because they don't have to no one ever told them hey be careful yeah for the community that I came from John that's exactly how they they would uh meet you at a uh an International Event um introduce themselves as a graduate student these are National actor States uh would you mind reviewing my thesis on such and such and I was at Adobe at the time that I was working on this instead of having to get the PDF they opened the PDF and whoever that customer was launches and I don't know if you remember back in like 2008 time frame there was a lot of issues around IP being by a nation state being stolen from the United States and that's exactly how they did it and John that's or LinkedIn hey I want to get a joke we want to hire you double the salary oh I'm gonna click on that for sure you know yeah right exactly yeah the one thing I would say to you is like uh when we look at like sort of you know because I think we did 10 000 pen tests last year is it's probably over that now you know we have these sort of top 10 ways that we think and find people coming into the environment the funniest thing is that only one of them is a cve related vulnerability like uh you know you guys know what they are right so it's it but it's it's like two percent of the attacks are occurring through the cves but yeah there's all that attention spent to that and very little attention spent to this pen testing side which is sort of this continuous threat you know monitoring space and and this vulnerability space where I think we play a such an important role and I'm so excited to be a part of the tip of the spear on this one yeah I'm old enough to know the movie sneakers which I loved as a you know watching that movie you know professional hackers are testing testing always testing the environment I love this I got to ask you as we kind of wrap up here Chris if you don't mind the the benefits to Professional Services from this Alliance big news Splunk and you guys work well together we see that clearly what are what other benefits do Professional Services teams see from the Splunk and Horizon 3.ai Alliance so if you're I think for from our our from both of our uh Partners uh as we bring these guys together and many of them already are the same partner right uh is that uh first off the licensing model is probably one of the key areas that we really excel at so if you're an end user you can buy uh for the Enterprise by the number of IP addresses you're using um but uh if you're a partner working with this there's solution ways that you can go in and we'll license as to msps and what that business model on msps looks like but the unique thing that we do here is this C plus license and so the Consulting plus license allows like a uh somebody a small to mid-sized to some very large uh you know Fortune 100 uh consulting firms use this uh by buying into a license called um Consulting plus where they can have unlimited uh access to as many IPS as they want but you can only run one test at a time and as you can imagine when we're going and hacking passwords and um checking hashes and decrypting hashes that can take a while so but for the right customer it's it's a perfect tool and so I I'm so excited about our ability to go to market with uh our partners so that we understand ourselves understand how not to just sell to or not tell just to sell through but we know how to sell with them as a good vendor partner I think that that's one thing that we've done a really good job building bring it into the market yeah I think also the Splunk has had great success how they've enabled uh partners and Professional Services absolutely you know the services that layer on top of Splunk are multi-fold tons of great benefits so you guys Vector right into that ride that way with friction and and the cool thing is that in you know in one of our reports which could be totally customized uh with someone else's logo we're going to generate you know so I I used to work in another organization it wasn't Splunk but we we did uh you know pen testing as for for customers and my pen testers would come on site they'd do the engagement and they would leave and then another release someone would be oh shoot we got another sector that was breached and they'd call you back you know four weeks later and so by August our entire pen testings teams would be sold out and it would be like well even in March maybe and they're like no no I gotta breach now and and and then when they do go in they go through do the pen test and they hand over a PDF and they pack on the back and say there's where your problems are you need to fix it and the reality is that what we're going to generate completely autonomously with no human interaction is we're going to go and find all the permutations of anything we found and the fix for those permutations and then once you've fixed everything you just go back and run another pen test it's you know for what people pay for one pen test they can have a tool that does that every every Pat patch on Tuesday and that's on Wednesday you know triage throughout the week green yellow red I wanted to see the colors show me green green is good right not red and one CIO doesn't want who doesn't want that dashboard right it's it's exactly it and we can help bring I think that you know I'm really excited about helping drive this with the Splunk team because they get that they understand that it's the green yellow red dashboard and and how do we help them find more green uh so that the other guys are in red yeah and get in the data and do the right thing and be efficient with how you use the data know what to look at so many things to pay attention to you know the combination of both and then go to market strategy real brilliant congratulations Chris thanks for coming on and sharing um this news with the detail around the Splunk in action around the alliance thanks for sharing John my pleasure thanks look forward to seeing you soon all right great we'll follow up and do another segment on devops and I.T and security teams as the new new Ops but and super cloud a bunch of other stuff so thanks for coming on and our next segment the CEO of horizon 3.aa will break down all the new news for us here on thecube you're watching thecube the leader in high tech Enterprise coverage [Music] yeah the partner program for us has been fantastic you know I think prior to that you know as most organizations most uh uh most Farmers most mssps might not necessarily have a a bench at all for penetration testing uh maybe they subcontract this work out or maybe they do it themselves but trying to staff that kind of position can be incredibly difficult for us this was a differentiator a a new a new partner a new partnership that allowed us to uh not only perform services for our customers but be able to provide a product by which that they can do it themselves so we work with our customers in a variety of ways some of them want more routine testing and perform this themselves but we're also a certified service provider of horizon 3 being able to perform uh penetration tests uh help review the the data provide color provide analysis for our customers in a broader sense right not necessarily the the black and white elements of you know what was uh what's critical what's high what's medium what's low what you need to fix but are there systemic issues this has allowed us to onboard new customers this has allowed us to migrate some penetration testing services to us from from competitors in the marketplace But ultimately this is occurring because the the product and the outcome are special they're unique and they're effective our customers like what they're seeing they like the routineness of it many of them you know again like doing this themselves you know being able to kind of pen test themselves parts of their networks um and the the new use cases right I'm a large organization I have eight to ten Acquisitions per year wouldn't it be great to have a tool to be able to perform a penetration test both internal and external of that acquisition before we integrate the two companies and maybe bringing on some risk it's a very effective partnership uh one that really is uh kind of taken our our Engineers our account Executives by storm um you know this this is a a partnership that's been very valuable to us [Music] a key part of the value and business model at Horizon 3 is enabling Partners to leverage node zero to make more revenue for themselves our goal is that for sixty percent of our Revenue this year will be originated by partners and that 95 of our Revenue next year will be originated by partners and so a key to that strategy is making us an integral part of your business models as a partner a key quote from one of our partners is that we enable every one of their business units to generate Revenue so let's talk about that in a little bit more detail first is that if you have a pen test Consulting business take Deloitte as an example what was six weeks of human labor at Deloitte per pen test has been cut down to four days of Labor using node zero to conduct reconnaissance find all the juicy interesting areas of the of the Enterprise that are exploitable and being able to go assess the entire organization and then all of those details get served up to the human to be able to look at understand and determine where to probe deeper so what you see in that pen test Consulting business is that node zero becomes a force multiplier where those Consulting teams were able to cover way more accounts and way more IPS within those accounts with the same or fewer consultants and so that directly leads to profit margin expansion for the Penn testing business itself because node 0 is a force multiplier the second business model here is if you're an mssp as an mssp you're already making money providing defensive cyber security operations for a large volume of customers and so what they do is they'll license node zero and use us as an upsell to their mssb business to start to deliver either continuous red teaming continuous verification or purple teaming as a service and so in that particular business model they've got an additional line of Revenue where they can increase the spend of their existing customers by bolting on node 0 as a purple team as a service offering the third business model or customer type is if you're an I.T services provider so as an I.T services provider you make money installing and configuring security products like Splunk or crowdstrike or hemio you also make money reselling those products and you also make money generating follow-on services to continue to harden your customer environments and so for them what what those it service providers will do is use us to verify that they've installed Splunk correctly improved to their customer that Splunk was installed correctly or crowdstrike was installed correctly using our results and then use our results to drive follow-on services and revenue and then finally we've got the value-added reseller which is just a straight up reseller because of how fast our sales Cycles are these vars are able to typically go from cold email to deal close in six to eight weeks at Horizon 3 at least a single sales engineer is able to run 30 to 50 pocs concurrently because our pocs are very lightweight and don't require any on-prem customization or heavy pre-sales post sales activity so as a result we're able to have a few amount of sellers driving a lot of Revenue and volume for us well the same thing applies to bars there isn't a lot of effort to sell the product or prove its value so vars are able to sell a lot more Horizon 3 node zero product without having to build up a huge specialist sales organization so what I'm going to do is talk through uh scenario three here as an I.T service provider and just how powerful node zero can be in driving additional Revenue so in here think of for every one dollar of node zero license purchased by the IT service provider to do their business it'll generate ten dollars of additional revenue for that partner so in this example kidney group uses node 0 to verify that they have installed and deployed Splunk correctly so Kitty group is a Splunk partner they they sell it services to install configure deploy and maintain Splunk and as they deploy Splunk they're going to use node 0 to attack the environment and make sure that the right logs and alerts and monitoring are being handled within the Splunk deployment so it's a way of doing QA or verifying that Splunk has been configured correctly and that's going to be internally used by kidney group to prove the quality of their services that they've just delivered then what they're going to do is they're going to show and leave behind that node zero Report with their client and that creates a resell opportunity for for kidney group to resell node 0 to their client because their client is seeing the reports and the results and saying wow this is pretty amazing and those reports can be co-branded where it's a pen testing report branded with kidney group but it says powered by Horizon three under it from there kidney group is able to take the fixed actions report that's automatically generated with every pen test through node zero and they're able to use that as the starting point for a statement of work to sell follow-on services to fix all of the problems that node zero identified fixing l11r misconfigurations fixing or patching VMware or updating credentials policies and so on so what happens is node 0 has found a bunch of problems the client often lacks the capacity to fix and so kidney group can use that lack of capacity by the client as a follow-on sales opportunity for follow-on services and finally based on the findings from node zero kidney group can look at that report and say to the customer you know customer if you bought crowdstrike you'd be able to uh prevent node Zero from attacking and succeeding in the way that it did for if you bought humano or if you bought Palo Alto networks or if you bought uh some privileged access management solution because of what node 0 was able to do with credential harvesting and attacks and so as a result kidney group is able to resell other security products within their portfolio crowdstrike Falcon humano Polito networks demisto Phantom and so on based on the gaps that were identified by node zero and that pen test and what that creates is another feedback loop where kidney group will then go use node 0 to verify that crowdstrike product has actually been installed and configured correctly and then this becomes the cycle of using node 0 to verify a deployment using that verification to drive a bunch of follow-on services and resell opportunities which then further drives more usage of the product now the way that we licensed is that it's a usage-based license licensing model so that the partner will grow their node zero Consulting plus license as they grow their business so for example if you're a kidney group then week one you've got you're going to use node zero to verify your Splunk install in week two if you have a pen testing business you're going to go off and use node zero to be a force multiplier for your pen testing uh client opportunity and then if you have an mssp business then in week three you're going to use node zero to go execute a purple team mssp offering for your clients so not necessarily a kidney group but if you're a Deloitte or ATT these larger companies and you've got multiple lines of business if you're Optive for instance you all you have to do is buy one Consulting plus license and you're going to be able to run as many pen tests as you want sequentially so now you can buy a single license and use that one license to meet your week one client commitments and then meet your week two and then meet your week three and as you grow your business you start to run multiple pen tests concurrently so in week one you've got to do a Splunk verify uh verify Splunk install and you've got to run a pen test and you've got to do a purple team opportunity you just simply expand the number of Consulting plus licenses from one license to three licenses and so now as you systematically grow your business you're able to grow your node zero capacity with you giving you predictable cogs predictable margins and once again 10x additional Revenue opportunity for that investment in the node zero Consulting plus license my name is Saint I'm the co-founder and CEO here at Horizon 3. I'm going to talk to you today about why it's important to look at your Enterprise Through The Eyes of an attacker the challenge I had when I was a CIO in banking the CTO at Splunk and serving within the Department of Defense is that I had no idea I was Secure until the bad guys had showed up am I logging the right data am I fixing the right vulnerabilities are my security tools that I've paid millions of dollars for actually working together to defend me and the answer is I don't know does my team actually know how to respond to a breach in the middle of an incident I don't know I've got to wait for the bad guys to show up and so the challenge I had was how do we proactively verify our security posture I tried a variety of techniques the first was the use of vulnerability scanners and the challenge with vulnerability scanners is being vulnerable doesn't mean you're exploitable I might have a hundred thousand findings from my scanner of which maybe five or ten can actually be exploited in my environment the other big problem with scanners is that they can't chain weaknesses together from machine to machine so if you've got a thousand machines in your environment or more what a vulnerability scanner will do is tell you you have a problem on machine one and separately a problem on machine two but what they can tell you is that an attacker could use a load from machine one plus a low from machine two to equal to critical in your environment and what attackers do in their tactics is they chain together misconfigurations dangerous product defaults harvested credentials and exploitable vulnerabilities into attack paths across different machines so to address the attack pads across different machines I tried layering in consulting-based pen testing and the issue is when you've got thousands of hosts or hundreds of thousands of hosts in your environment human-based pen testing simply doesn't scale to test an infrastructure of that size moreover when they actually do execute a pen test and you get the report oftentimes you lack the expertise within your team to quickly retest to verify that you've actually fixed the problem and so what happens is you end up with these pen test reports that are incomplete snapshots and quickly going stale and then to mitigate that problem I tried using breach and attack simulation tools and the struggle with these tools is one I had to install credentialed agents everywhere two I had to write my own custom attack scripts that I didn't have much talent for but also I had to maintain as my environment changed and then three these types of tools were not safe to run against production systems which was the the majority of my attack surface so that's why we went off to start Horizon 3. so Tony and I met when we were in Special Operations together and the challenge we wanted to solve was how do we do infrastructure security testing at scale by giving the the power of a 20-year pen testing veteran into the hands of an I.T admin a network engineer in just three clicks and the whole idea is we enable these fixers The Blue Team to be able to run node Zero Hour pen testing product to quickly find problems in their environment that blue team will then then go off and fix the issues that were found and then they can quickly rerun the attack to verify that they fixed the problem and the whole idea is delivering this without requiring custom scripts be developed without requiring credential agents be installed and without requiring the use of external third-party consulting services or Professional Services self-service pen testing to quickly Drive find fix verify there are three primary use cases that our customers use us for the first is the sock manager that uses us to verify that their security tools are actually effective to verify that they're logging the right data in Splunk or in their Sim to verify that their managed security services provider is able to quickly detect and respond to an attack and hold them accountable for their slas or that the sock understands how to quickly detect and respond and measuring and verifying that or that the variety of tools that you have in your stack most organizations have 130 plus cyber security tools none of which are designed to work together are actually working together the second primary use case is proactively hardening and verifying your systems this is when the I that it admin that network engineer they're able to run self-service pen tests to verify that their Cisco environment is installed in hardened and configured correctly or that their credential policies are set up right or that their vcenter or web sphere or kubernetes environments are actually designed to be secure and what this allows the it admins and network Engineers to do is shift from running one or two pen tests a year to 30 40 or more pen tests a month and you can actually wire those pen tests into your devops process or into your detection engineering and the change management processes to automatically trigger pen tests every time there's a change in your environment the third primary use case is for those organizations lucky enough to have their own internal red team they'll use node zero to do reconnaissance and exploitation at scale and then use the output as a starting point for the humans to step in and focus on the really hard juicy stuff that gets them on stage at Defcon and so these are the three primary use cases and what we'll do is zoom into the find fix verify Loop because what I've found in my experience is find fix verify is the future operating model for cyber security organizations and what I mean here is in the find using continuous pen testing what you want to enable is on-demand self-service pen tests you want those pen tests to find attack pads at scale spanning your on-prem infrastructure your Cloud infrastructure and your perimeter because attackers don't only state in one place they will find ways to chain together a perimeter breach a credential from your on-prem to gain access to your cloud or some other permutation and then the third part in continuous pen testing is attackers don't focus on critical vulnerabilities anymore they know we've built vulnerability Management Programs to reduce those vulnerabilities so attackers have adapted and what they do is chain together misconfigurations in your infrastructure and software and applications with dangerous product defaults with exploitable vulnerabilities and through the collection of credentials through a mix of techniques at scale once you've found those problems the next question is what do you do about it well you want to be able to prioritize fixing problems that are actually exploitable in your environment that truly matter meaning they're going to lead to domain compromise or domain user compromise or access your sensitive data the second thing you want to fix is making sure you understand what risk your crown jewels data is exposed to where is your crown jewels data is in the cloud is it on-prem has it been copied to a share drive that you weren't aware of if a domain user was compromised could they access that crown jewels data you want to be able to use the attacker's perspective to secure the critical data you have in your infrastructure and then finally as you fix these problems you want to quickly remediate and retest that you've actually fixed the issue and this fine fix verify cycle becomes that accelerator that drives purple team culture the third part here is verify and what you want to be able to do in the verify step is verify that your security tools and processes in people can effectively detect and respond to a breach you want to be able to integrate that into your detection engineering processes so that you know you're catching the right security rules or that you've deployed the right configurations you also want to make sure that your environment is adhering to the best practices around systems hardening in cyber resilience and finally you want to be able to prove your security posture over a time to your board to your leadership into your regulators so what I'll do now is zoom into each of these three steps so when we zoom in to find here's the first example using node 0 and autonomous pen testing and what an attacker will do is find a way to break through the perimeter in this example it's very easy to misconfigure kubernetes to allow an attacker to gain remote code execution into your on-prem kubernetes environment and break through the perimeter and from there what the attacker is going to do is conduct Network reconnaissance and then find ways to gain code execution on other machines in the environment and as they get code execution they start to dump credentials collect a bunch of ntlm hashes crack those hashes using open source and dark web available data as part of those attacks and then reuse those credentials to log in and laterally maneuver throughout the environment and then as they loudly maneuver they can reuse those credentials and use credential spraying techniques and so on to compromise your business email to log in as admin into your cloud and this is a very common attack and rarely is a CV actually needed to execute this attack often it's just a misconfiguration in kubernetes with a bad credential policy or password policy combined with bad practices of credential reuse across the organization here's another example of an internal pen test and this is from an actual customer they had 5 000 hosts within their environment they had EDR and uba tools installed and they initiated in an internal pen test on a single machine from that single initial access point node zero enumerated the network conducted reconnaissance and found five thousand hosts were accessible what node 0 will do under the covers is organize all of that reconnaissance data into a knowledge graph that we call the Cyber terrain map and that cyber Terrain map becomes the key data structure that we use to efficiently maneuver and attack and compromise your environment so what node zero will do is they'll try to find ways to get code execution reuse credentials and so on in this customer example they had Fortinet installed as their EDR but node 0 was still able to get code execution on a Windows machine from there it was able to successfully dump credentials including sensitive credentials from the lsas process on the Windows box and then reuse those credentials to log in as domain admin in the network and once an attacker becomes domain admin they have the keys to the kingdom they can do anything they want so what happened here well it turns out Fortinet was misconfigured on three out of 5000 machines bad automation the customer had no idea this had happened they would have had to wait for an attacker to show up to realize that it was misconfigured the second thing is well why didn't Fortinet stop the credential pivot in the lateral movement and it turned out the customer didn't buy the right modules or turn on the right services within that particular product and we see this not only with Ford in it but we see this with Trend Micro and all the other defensive tools where it's very easy to miss a checkbox in the configuration that will do things like prevent credential dumping the next story I'll tell you is attackers don't have to hack in they log in so another infrastructure pen test a typical technique attackers will take is man in the middle uh attacks that will collect hashes so in this case what an attacker will do is leverage a tool or technique called responder to collect ntlm hashes that are being passed around the network and there's a variety of reasons why these hashes are passed around and it's a pretty common misconfiguration but as an attacker collects those hashes then they start to apply techniques to crack those hashes so they'll pass the hash and from there they will use open source intelligence common password structures and patterns and other types of techniques to try to crack those hashes into clear text passwords so here node 0 automatically collected hashes it automatically passed the hashes to crack those credentials and then from there it starts to take the domain user user ID passwords that it's collected and tries to access different services and systems in your Enterprise in this case node 0 is able to successfully gain access to the Office 365 email environment because three employees didn't have MFA configured so now what happens is node 0 has a placement and access in the business email system which sets up the conditions for fraud lateral phishing and other techniques but what's especially insightful here is that 80 of the hashes that were collected in this pen test were cracked in 15 minutes or less 80 percent 26 of the user accounts had a password that followed a pretty obvious pattern first initial last initial and four random digits the other thing that was interesting is 10 percent of service accounts had their user ID the same as their password so VMware admin VMware admin web sphere admin web Square admin so on and so forth and so attackers don't have to hack in they just log in with credentials that they've collected the next story here is becoming WS AWS admin so in this example once again internal pen test node zero gets initial access it discovers 2 000 hosts are network reachable from that environment if fingerprints and organizes all of that data into a cyber Terrain map from there it it fingerprints that hpilo the integrated lights out service was running on a subset of hosts hpilo is a service that is often not instrumented or observed by security teams nor is it easy to patch as a result attackers know this and immediately go after those types of services so in this case that ILO service was exploitable and were able to get code execution on it ILO stores all the user IDs and passwords in clear text in a particular set of processes so once we gain code execution we were able to dump all of the credentials and then from there laterally maneuver to log in to the windows box next door as admin and then on that admin box we're able to gain access to the share drives and we found a credentials file saved on a share Drive from there it turned out that credentials file was the AWS admin credentials file giving us full admin authority to their AWS accounts not a single security alert was triggered in this attack because the customer wasn't observing the ILO service and every step thereafter was a valid login in the environment and so what do you do step one patch the server step two delete the credentials file from the share drive and then step three is get better instrumentation on privileged access users and login the final story I'll tell is a typical pattern that we see across the board with that combines the various techniques I've described together where an attacker is going to go off and use open source intelligence to find all of the employees that work at your company from there they're going to look up those employees on dark web breach databases and other forms of information and then use that as a starting point to password spray to compromise a domain user all it takes is one employee to reuse a breached password for their Corporate email or all it takes is a single employee to have a weak password that's easily guessable all it takes is one and once the attacker is able to gain domain user access in most shops domain user is also the local admin on their laptop and once your local admin you can dump Sam and get local admin until M hashes you can use that to reuse credentials again local admin on neighboring machines and attackers will start to rinse and repeat then eventually they're able to get to a point where they can dump lsas or by unhooking the anti-virus defeating the EDR or finding a misconfigured EDR as we've talked about earlier to compromise the domain and what's consistent is that the fundamentals are broken at these shops they have poor password policies they don't have least access privilege implemented active directory groups are too permissive where domain admin or domain user is also the local admin uh AV or EDR Solutions are misconfigured or easily unhooked and so on and what we found in 10 000 pen tests is that user Behavior analytics tools never caught us in that lateral movement in part because those tools require pristine logging data in order to work and also it becomes very difficult to find that Baseline of normal usage versus abnormal usage of credential login another interesting Insight is there were several Marquee brand name mssps that were defending our customers environment and for them it took seven hours to detect and respond to the pen test seven hours the pen test was over in less than two hours and so what you had was an egregious violation of the service level agreements that that mssp had in place and the customer was able to use us to get service credit and drive accountability of their sock and of their provider the third interesting thing is in one case it took us seven minutes to become domain admin in a bank that bank had every Gucci security tool you could buy yet in 7 minutes and 19 seconds node zero started as an unauthenticated member of the network and was able to escalate privileges through chaining and misconfigurations in lateral movement and so on to become domain admin if it's seven minutes today we should assume it'll be less than a minute a year or two from now making it very difficult for humans to be able to detect and respond to that type of Blitzkrieg attack so that's in the find it's not just about finding problems though the bulk of the effort should be what to do about it the fix and the verify so as you find those problems back to kubernetes as an example we will show you the path here is the kill chain we took to compromise that environment we'll show you the impact here is the impact or here's the the proof of exploitation that we were able to use to be able to compromise it and there's the actual command that we executed so you could copy and paste that command and compromise that cubelet yourself if you want and then the impact is we got code execution and we'll actually show you here is the impact this is a critical here's why it enabled perimeter breach affected applications will tell you the specific IPS where you've got the problem how it maps to the miter attack framework and then we'll tell you exactly how to fix it we'll also show you what this problem enabled so you can accurately prioritize why this is important or why it's not important the next part is accurate prioritization the hardest part of my job as a CIO was deciding what not to fix so if you take SMB signing not required as an example by default that CVSs score is a one out of 10. but this misconfiguration is not a cve it's a misconfig enable an attacker to gain access to 19 credentials including one domain admin two local admins and access to a ton of data because of that context this is really a 10 out of 10. you better fix this as soon as possible however of the seven occurrences that we found it's only a critical in three out of the seven and these are the three specific machines and we'll tell you the exact way to fix it and you better fix these as soon as possible for these four machines over here these didn't allow us to do anything of consequence so that because the hardest part is deciding what not to fix you can justifiably choose not to fix these four issues right now and just add them to your backlog and surge your team to fix these three as quickly as possible and then once you fix these three you don't have to re-run the entire pen test you can select these three and then one click verify and run a very narrowly scoped pen test that is only testing this specific issue and what that creates is a much faster cycle of finding and fixing problems the other part of fixing is verifying that you don't have sensitive data at risk so once we become a domain user we're able to use those domain user credentials and try to gain access to databases file shares S3 buckets git repos and so on and help you understand what sensitive data you have at risk so in this example a green checkbox means we logged in as a valid domain user we're able to get read write access on the database this is how many records we could have accessed and we don't actually look at the values in the database but we'll show you the schema so you can quickly characterize that pii data was at risk here and we'll do that for your file shares and other sources of data so now you can accurately articulate the data you have at risk and prioritize cleaning that data up especially data that will lead to a fine or a big news issue so that's the find that's the fix now we're going to talk about the verify the key part in verify is embracing and integrating with detection engineering practices so when you think about your layers of security tools you've got lots of tools in place on average 130 tools at any given customer but these tools were not designed to work together so when you run a pen test what you want to do is say did you detect us did you log us did you alert on us did you stop us and from there what you want to see is okay what are the techniques that are commonly used to defeat an environment to actually compromise if you look at the top 10 techniques we use and there's far more than just these 10 but these are the most often executed nine out of ten have nothing to do with cves it has to do with misconfigurations dangerous product defaults bad credential policies and it's how we chain those together to become a domain admin or compromise a host so what what customers will do is every single attacker command we executed is provided to you as an attackivity log so you can actually see every single attacker command we ran the time stamp it was executed the hosts it executed on and how it Maps the minor attack tactics so our customers will have are these attacker logs on one screen and then they'll go look into Splunk or exabeam or Sentinel one or crowdstrike and say did you detect us did you log us did you alert on us or not and to make that even easier if you take this example hey Splunk what logs did you see at this time on the VMware host because that's when node 0 is able to dump credentials and that allows you to identify and fix your logging blind spots to make that easier we've got app integration so this is an actual Splunk app in the Splunk App Store and what you can come is inside the Splunk console itself you can fire up the Horizon 3 node 0 app all of the pen test results are here so that you can see all of the results in one place and you don't have to jump out of the tool and what you'll show you as I skip forward is hey there's a pen test here are the critical issues that we've identified for that weaker default issue here are the exact commands we executed and then we will automatically query into Splunk all all terms on between these times on that endpoint that relate to this attack so you can now quickly within the Splunk environment itself figure out that you're missing logs or that you're appropriately catching this issue and that becomes incredibly important in that detection engineering cycle that I mentioned earlier so how do our customers end up using us they shift from running one pen test a year to 30 40 pen tests a month oftentimes wiring us into their deployment automation to automatically run pen tests the other part that they'll do is as they run more pen tests they find more issues but eventually they hit this inflection point where they're able to rapidly clean up their environment and that inflection point is because the red and the blue teams start working together in a purple team culture and now they're working together to proactively harden their environment the other thing our customers will do is run us from different perspectives they'll first start running an RFC 1918 scope to see once the attacker gained initial access in a part of the network that had wide access what could they do and then from there they'll run us within a specific Network segment okay from within that segment could the attacker break out and gain access to another segment then they'll run us from their work from home environment could they Traverse the VPN and do something damaging and once they're in could they Traverse the VPN and get into my cloud then they'll break in from the outside all of these perspectives are available to you in Horizon 3 and node zero as a single SKU and you can run as many pen tests as you want if you run a phishing campaign and find that an intern in the finance department had the worst phishing behavior you can then inject their credentials and actually show the end-to-end story of how an attacker fished gained credentials of an intern and use that to gain access to sensitive financial data so what our customers end up doing is running multiple attacks from multiple perspectives and looking at those results over time I'll leave you two things one is what is the AI in Horizon 3 AI those knowledge graphs are the heart and soul of everything that we do and we use machine learning reinforcement techniques reinforcement learning techniques Markov decision models and so on to be able to efficiently maneuver and analyze the paths in those really large graphs we also use context-based scoring to prioritize weaknesses and we're also able to drive collective intelligence across all of the operations so the more pen tests we run the smarter we get and all of that is based on our knowledge graph analytics infrastructure that we have finally I'll leave you with this was my decision criteria when I was a buyer for my security testing strategy what I cared about was coverage I wanted to be able to assess my on-prem cloud perimeter and work from home and be safe to run in production I want to be able to do that as often as I wanted I want to be able to run pen tests in hours or days not weeks or months so I could accelerate that fine fix verify loop I wanted my it admins and network Engineers with limited offensive experience to be able to run a pen test in a few clicks through a self-service experience and not have to install agent and not have to write custom scripts and finally I didn't want to get nickeled and dimed on having to buy different types of attack modules or different types of attacks I wanted a single annual subscription that allowed me to run any type of attack as often as I wanted so I could look at my Trends in directions over time so I hope you found this talk valuable uh we're easy to find and I look forward to seeing seeing you use a product and letting our results do the talking when you look at uh you know kind of the way no our pen testing algorithms work is we dynamically select uh how to compromise an environment based on what we've discovered and the goal is to become a domain admin compromise a host compromise domain users find ways to encrypt data steal sensitive data and so on but when you look at the the top 10 techniques that we ended up uh using to compromise environments the first nine have nothing to do with cves and that's the reality cves are yes a vector but less than two percent of cves are actually used in a compromise oftentimes it's some sort of credential collection credential cracking uh credential pivoting and using that to become an admin and then uh compromising environments from that point on so I'll leave this up for you to kind of read through and you'll have the slides available for you but I found it very insightful that organizations and ourselves when I was a GE included invested heavily in just standard vulnerability Management Programs when I was at DOD that's all disa cared about asking us about was our our kind of our cve posture but the attackers have adapted to not rely on cves to get in because they know that organizations are actively looking at and patching those cves and instead they're chaining together credentials from one place with misconfigurations and dangerous product defaults in another to take over an environment a concrete example is by default vcenter backups are not encrypted and so as if an attacker finds vcenter what they'll do is find the backup location and there are specific V sender MTD files where the admin credentials are parsippled in the binaries so you can actually as an attacker find the right MTD file parse out the binary and now you've got the admin credentials for the vcenter environment and now start to log in as admin there's a bad habit by signal officers and Signal practitioners in the in the Army and elsewhere where the the VM notes section of a virtual image has the password for the VM well those VM notes are not stored encrypted and attackers know this and they're able to go off and find the VMS that are unencrypted find the note section and pull out the passwords for those images and then reuse those credentials across the board so I'll pause here and uh you know Patrick love you get some some commentary on on these techniques and other things that you've seen and what we'll do in the last say 10 to 15 minutes is uh is rolled through a little bit more on what do you do about it yeah yeah no I love it I think um I think this is pretty exhaustive what I like about what you've done here is uh you know we've seen we've seen double-digit increases in the number of organizations that are reporting actual breaches year over year for the last um for the last three years and it's often we kind of in the Zeitgeist we pegged that on ransomware which of course is like incredibly important and very top of mind um but what I like about what you have here is you know we're reminding the audience that the the attack surface area the vectors the matter um you know has to be more comprehensive than just thinking about ransomware scenarios yeah right on um so let's build on this when you think about your defense in depth you've got multiple security controls that you've purchased and integrated and you've got that redundancy if a control fails but the reality is that these security tools aren't designed to work together so when you run a pen test what you want to ask yourself is did you detect node zero did you log node zero did you alert on node zero and did you stop node zero and when you think about how to do that every single attacker command executed by node zero is available in an attacker log so you can now see you know at the bottom here vcenter um exploit at that time on that IP how it aligns to minor attack what you want to be able to do is go figure out did your security tools catch this or not and that becomes very important in using the attacker's perspective to improve your defensive security controls and so the way we've tried to make this easier back to like my my my the you know I bleed Green in many ways still from my smoke background is you want to be able to and what our customers do is hey we'll look at the attacker logs on one screen and they'll look at what did Splunk see or Miss in another screen and then they'll use that to figure out what their logging blind spots are and what that where that becomes really interesting is we've actually built out an integration into Splunk where there's a Splunk app you can download off of Splunk base and you'll get all of the pen test results right there in the Splunk console and from that Splunk console you're gonna be able to see these are all the pen tests that were run these are the issues that were found um so you can look at that particular pen test here are all of the weaknesses that were identified for that particular pen test and how they categorize out for each of those weaknesses you can click on any one of them that are critical in this case and then we'll tell you for that weakness and this is where where the the punch line comes in so I'll pause the video here for that weakness these are the commands that were executed on these endpoints at this time and then we'll actually query Splunk for that um for that IP address or containing that IP and these are the source types that surface any sort of activity so what we try to do is help you as quickly and efficiently as possible identify the logging blind spots in your Splunk environment based on the attacker's perspective so as this video kind of plays through you can see it Patrick I'd love to get your thoughts um just seeing so many Splunk deployments and the effectiveness of those deployments and and how this is going to help really Elevate the effectiveness of all of your Splunk customers yeah I'm super excited about this I mean I think this these kinds of purpose-built integration snail really move the needle for our customers I mean at the end of the day when I think about the power of Splunk I think about a product I was first introduced to 12 years ago that was an on-prem piece of software you know and at the time it sold on sort of Perpetual and term licenses but one made it special was that it could it could it could eat data at a speed that nothing else that I'd have ever seen you can ingest massively scalable amounts of data uh did cool things like schema on read which facilitated that there was this language called SPL that you could nerd out about uh and you went to a conference once a year and you talked about all the cool things you were splunking right but now as we think about the next phase of our growth um we live in a heterogeneous environment where our customers have so many different tools and data sources that are ever expanding and as you look at the as you look at the role of the ciso it's mind-blowing to me the amount of sources Services apps that are coming into the ciso span of let's just call it a span of influence in the last three years uh you know we're seeing things like infrastructure service level visibility application performance monitoring stuff that just never made sense for the security team to have visibility into you um at least not at the size and scale which we're demanding today um and and that's different and this isn't this is why it's so important that we have these joint purpose-built Integrations that um really provide more prescription to our customers about how do they walk on that Journey towards maturity what does zero to one look like what does one to two look like whereas you know 10 years ago customers were happy with platforms today they want integration they want Solutions and they want to drive outcomes and I think this is a great example of how together we are stepping to the evolving nature of the market and also the ever-evolving nature of the threat landscape and what I would say is the maturing needs of the customer in that environment yeah for sure I think especially if if we all anticipate budget pressure over the next 18 months due to the economy and elsewhere while the security budgets are not going to ever I don't think they're going to get cut they're not going to grow as fast and there's a lot more pressure on organizations to extract more value from their existing Investments as well as extracting more value and more impact from their existing teams and so security Effectiveness Fierce prioritization and automation I think become the three key themes of security uh over the next 18 months so I'll do very quickly is run through a few other use cases um every host that we identified in the pen test were able to score and say this host allowed us to do something significant therefore it's it's really critical you should be increasing your logging here hey these hosts down here we couldn't really do anything as an attacker so if you do have to make trade-offs you can make some trade-offs of your logging resolution at the lower end in order to increase logging resolution on the upper end so you've got that level of of um justification for where to increase or or adjust your logging resolution another example is every host we've discovered as an attacker we Expose and you can export and we want to make sure is every host we found as an attacker is being ingested from a Splunk standpoint a big issue I had as a CIO and user of Splunk and other tools is I had no idea if there were Rogue Raspberry Pi's on the network or if a new box was installed and whether Splunk was installed on it or not so now you can quickly start to correlate what hosts did we see and how does that reconcile with what you're logging from uh finally or second to last use case here on the Splunk integration side is for every single problem we've found we give multiple options for how to fix it this becomes a great way to prioritize what fixed actions to automate in your soar platform and what we want to get to eventually is being able to automatically trigger soar actions to fix well-known problems like automatically invalidating passwords for for poor poor passwords in our credentials amongst a whole bunch of other things we could go off and do and then finally if there is a well-known kill chain or attack path one of the things I really wish I could have done when I was a Splunk customer was take this type of kill chain that actually shows a path to domain admin that I'm sincerely worried about and use it as a glass table over which I could start to layer possible indicators of compromise and now you've got a great starting point for glass tables and iocs for actual kill chains that we know are exploitable in your environment and that becomes some super cool Integrations that we've got on the roadmap between us and the Splunk security side of the house so what I'll leave with actually Patrick before I do that you know um love to get your comments and then I'll I'll kind of leave with one last slide on this wartime security mindset uh pending you know assuming there's no other questions no I love it I mean I think this kind of um it's kind of glass table's approach to how do you how do you sort of visualize these workflows and then use things like sore and orchestration and automation to operationalize them is exactly where we see all of our customers going and getting away from I think an over engineered approach to soar with where it has to be super technical heavy with you know python programmers and getting more to this visual view of workflow creation um that really demystifies the power of Automation and also democratizes it so you don't have to have these programming languages in your resume in order to start really moving the needle on workflow creation policy enforcement and ultimately driving automation coverage across more and more of the workflows that your team is seeing yeah I think that between us being able to visualize the actual kill chain or attack path with you know think of a of uh the soar Market I think going towards this no code low code um you know configurable sore versus coded sore that's going to really be a game changer in improve or giving security teams a force multiplier so what I'll leave you with is this peacetime mindset of security no longer is sustainable we really have to get out of checking the box and then waiting for the bad guys to show up to verify that security tools are are working or not and the reason why we've got to really do that quickly is there are over a thousand companies that withdrew from the Russian economy over the past uh nine months due to the Ukrainian War there you should expect every one of them to be punished by the Russians for leaving and punished from a cyber standpoint and this is no longer about financial extortion that is ransomware this is about punishing and destroying companies and you can punish any one of these companies by going after them directly or by going after their suppliers and their Distributors so suddenly your attack surface is no more no longer just your own Enterprise it's how you bring your goods to Market and it's how you get your goods created because while I may not be able to disrupt your ability to harvest fruit if I can get those trucks stuck at the border I can increase spoilage and have the same effect and what we should expect to see is this idea of cyber-enabled economic Warfare where if we issue a sanction like Banning the Russians from traveling there is a cyber-enabled counter punch which is corrupt and destroy the American Airlines database that is below the threshold of War that's not going to trigger the 82nd Airborne to be mobilized but it's going to achieve the right effect ban the sale of luxury goods disrupt the supply chain and create shortages banned Russian oil and gas attack refineries to call a 10x spike in gas prices three days before the election this is the future and therefore I think what we have to do is shift towards a wartime mindset which is don't trust your security posture verify it see yourself Through The Eyes of the attacker build that incident response muscle memory and drive better collaboration between the red and the blue teams your suppliers and Distributors and your information uh sharing organization they have in place and what's really valuable for me as a Splunk customer was when a router crashes at that moment you don't know if it's due to an I.T Administration problem or an attacker and what you want to have are different people asking different questions of the same data and you want to have that integrated triage process of an I.T lens to that problem a security lens to that problem and then from there figuring out is is this an IT workflow to execute or a security incident to execute and you want to have all of that as an integrated team integrated process integrated technology stack and this is something that I very care I cared very deeply about as both a Splunk customer and a Splunk CTO that I see time and time again across the board so Patrick I'll leave you with the last word the final three minutes here and I don't see any open questions so please take us home oh man see how you think we spent hours and hours prepping for this together that that last uh uh 40 seconds of your talk track is probably one of the things I'm most passionate about in this industry right now uh and I think nist has done some really interesting work here around building cyber resilient organizations that have that has really I think helped help the industry see that um incidents can come from adverse conditions you know stress is uh uh performance taxations in the infrastructure service or app layer and they can come from malicious compromises uh Insider threats external threat actors and the more that we look at this from the perspective of of a broader cyber resilience Mission uh in a wartime mindset uh I I think we're going to be much better off and and will you talk about with operationally minded ice hacks information sharing intelligence sharing becomes so important in these wartime uh um situations and you know we know not all ice acts are created equal but we're also seeing a lot of um more ad hoc information sharing groups popping up so look I think I think you framed it really really well I love the concept of wartime mindset and um I I like the idea of applying a cyber resilience lens like if you have one more layer on top of that bottom right cake you know I think the it lens and the security lens they roll up to this concept of cyber resilience and I think this has done some great work there for us yeah you're you're spot on and that that is app and that's gonna I think be the the next um terrain that that uh that you're gonna see vendors try to get after but that I think Splunk is best position to win okay that's a wrap for this special Cube presentation you heard all about the global expansion of horizon 3.ai's partner program for their Partners have a unique opportunity to take advantage of their node zero product uh International go to Market expansion North America channel Partnerships and just overall relationships with companies like Splunk to make things more comprehensive in this disruptive cyber security world we live in and hope you enjoyed this program all the videos are available on thecube.net as well as check out Horizon 3 dot AI for their pen test Automation and ultimately their defense system that they use for testing always the environment that you're in great Innovative product and I hope you enjoyed the program again I'm John Furrier host of the cube thanks for watching

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Bharath Chari, Confluent & Sam Kassoumeh, SecurityScorecard | AWS Startup Showcase S2 E4


 

>>Hey everyone. Welcome to the cubes presentation of the AWS startup showcase. This is season two, episode four of our ongoing series. That's featuring exciting startups within the AWS ecosystem. This theme, cybersecurity protect and detect against threats. I'm your host. Lisa Martin. I've got two guests here with me. Please. Welcome back to the program. Sam Kam, a COO and co-founder of security scorecard and bar Roth. Charri team lead solutions marketing at confluent guys. It's great to have you on the program talking about cybersecurity. >>Thanks for having us, Lisa, >>Sam, let's go ahead and kick off with you. You've been on the queue before, but give the audience just a little bit of context about security scorecard or SSC as they're gonna hear it referred to. >>Yeah. AB absolutely. Thank you for that. Well, the easiest way to, to put it is when people wanna know about their credit risk, they consult one of the major credit scoring companies. And when companies wanna know about their cybersecurity risk, they turn to security scorecard to get that holistic view of, of, of the security posture. And the way it works is SSC is continuously 24 7 collecting signals from across the entire internet. I entire IPV four space and they're doing it to identify vulnerable and misconfigured digital assets. And we were just looking back over like a three year period. We looked from 2019 to 2022. We, we, we assessed through our techniques over a million and a half organizations and found that over half of them had at least one open critical vulnerability exposed to the internet. What was even more shocking was 20% of those organizations had amassed over a thousand vulnerabilities each. >>So SSC we're in the business of really building solutions for customers. We mine the data from dozens of digital sources and help discover the risks and the flaws that are inherent to their business. And that becomes increasingly important as companies grow and find new sources of risk and new threat vectors that emerge on the internet for themselves and for their vendor and business partner ecosystem. The last thing I'll mention is the platform that we provide. It relies on data collection and processing to be done in an extremely accurate and real time way. That's a key for that's allowed us to scale. And in order to comp, in order for us to accomplish this security scorecard engineering teams, they used a really novel combination of confluent cloud and confluent platform to build a really, really robust data for streaming pipelines and the data streaming pipelines enabled by confluent allow us at security scorecard to collect the data from a lot of various sources for risk analysis. Then they get feer further analyzed and provided to customers as a easy to understand summary of analytics. >>Rob, let's bring you into the conversation, talk about confluent, give the audience that overview and then talk about what you're doing together with SSC. >>Yeah, and I wanted to say Sam did a great job of setting up the context about what confluent is. So, so appreciate that, but a really simple way to think about it. Lisa is confident as a data streaming platform that is pioneering a fundamentally new category of data infrastructure that is at the core of what SSE does. Like Sam said, the key is really collect data accurately at scale and in real time. And that's where our cloud native offering really empowers organizations like SSE to build great customer experiences for their customers. And the other thing we do is we also help organizations build a sophisticated real time backend operations. And so at a high level, that's the best way to think about comfort. >>Got it. But I'll talk about data streaming, how it's being used in cyber security and what the data streaming pipelines enable enabled by confluent allow SSE to do for its customers. >>Yeah, I think Sam can definitely share his thoughts on this, but one of the things I know we are all sort of experiencing is the, is the rise of cyber threats, whether it's online from a business B2B perspective or as consumers just be our data and, and the data that they're generating and the companies that have access to it. So as the, the need to protect the data really grows companies and organizations really need to effectively detect, respond and protect their environments. And the best way to do this is through three ways, scale, speed, and cost. And so going back to the points I brought up earlier with conference, you can really gain real time data ingestion and enable those analytics that Sam talked about previously while optimizing for cost scale. So those are so doing all of this at the same time, as you can imagine, is, is not easy and that's where we Excel. >>And so the entire premise of data streaming is built on the concepts. That data is not static, but constantly moving across your organization. And that's why we call it data streams. And so at its core, we we've sort of built or leveraged that open source foundation of APA sheet Kafka, but we have rearchitected it for the cloud with a totally new cloud native experience. And ultimately for customers like SSE, we have taken a away the need to manage a lot of those operational tasks when it comes to Apache Kafka. The other thing we've done is we've added a ton of proprietary IP, including security features like role based access control. I mean, some prognosis talking about, and that really allows you to securely connect to any data no matter where it resides at scale at speed. And it, >>Can you talk about bar sticking with you, but some of the improvements, and maybe this is a actually question for Sam, some of the improvements that have been achieved on the SSC side as a result of the confluent partnership, things are much faster and you're able to do much more understand, >>Can I, can Sam take it away? I can maybe kick us off and then breath feel, feel free to chime in Lisa. The, the, the, the problem that we're talking about has been for us, it was a longstanding challenge. We're about a nine year old company. We're a high growth startup and data collection has always been in, in our DNA. It's at it's at the core of what we do and getting, getting the insights, the, and analytics that we synthesize from that data into customer's hands as quickly as possible is the, is the name of the game because they're trying to make decisions and we're empowering them to make those decisions faster. We always had challenges in, in the arena because we, well partners like confluent didn't didn't exist when we started scorecard when, when we we're a customer. But we, we, we think of it as a partnership when we found confluent technology and you can hear it from Barth's description. >>Like we, we shared a common vision and they understood some of the pain points that we were experiencing on a very like visceral and intimate level. And for us, that was really exciting, right? Just to have partners that are there saying, we understand your problem. This is exactly the problem that we're solving. We're, we're here to help what the technology has done for us since then is it's not only allowed us to process the data faster and get the analytics to the customer, but it's also allowed us to create more value for customers, which, which I'll talk about in a bit, including new products and new modules that we didn't have the capabilities to deliver before. >>And we'll talk about those new products in a second exciting stuff coming out there from SSC, bro. Talk about the partnership from, from confluence perspective, how has it enabled confluence to actually probably enhance its technology as a result of seeing and learning what SSC is able to do with the technology? >>Yeah, first of all, I, I completely agree with Sam it's, it's more of a partnership because like Sam said, we sort of shared the same vision and that is to really make sure that organizations have access to the data. Like I said earlier, no matter where it resides so that you can scan and identify the, the potential security security threads. I think from, from our perspective, what's really helped us from the perspective of partnering with SSE is just looking at the data volumes that they're working with. So I know a stat that we talked about recently was around scanning billions of records, thousands of ports on a daily basis. And so that's where, like I, like I mentioned earlier, our technology really excels because you can really ingest and amplify the volumes of data that you're processing so that you can scan and, and detect those threats in real time. >>Because I mean, especially the amount of volume, the data volume that's increasing on a year by basis, that aspect in order to be able to respond quickly, that is paramount. And so what's really helped us is just seeing what SSE is doing in terms of scanning the, the web ports or the data systems that are at are at potential risk. Being able to support their use cases, whether it's data sharing between their different teams internally are being able to empower customers, to be able to detect and scan their data systems. And so the learning for us is really seeing how those millions and billions of records get processed. >>Got it sounds like a really synergistic partnership that you guys have had there for the last year or so, Sam, let's go back over to you. You mentioned some new products. I see SSC just released a tax surface intelligence product. That's detecting thousands of vulnerabilities per minute. Talk to us about that, the importance of that, and another release that you're making. >>There are some really exciting products that we have released recently and are releasing at security scorecard. When we think about, when we think about ratings and risk, we think about it not just for our companies or our third parties, but we think about it in a, in a broader sense of an, of an ecosystem, because it's important to have data on third parties, but we also want to have the data on their third parties as well. No, nobody's operating in a vacuum. Everybody's operating in this hyper connected ecosystem and the risk can live not just in the third parties, but they might be storing processing data in a myriad of other technological solutions, which we want to understand, but it's really hard to get that visibility because today the way it's done is companies ask their third parties. Hey, send me a list of your third parties, where my data is stored. >>It's very manual, it's very labor intensive, and it's a trust based exercise that makes it really difficult to validate. What we've done is we've developed a technology called a V D automatic vendor detection. And what a V D does is it goes out and for any company, your own company or another business partner that you work with, it will go detect all of the third party connections that we see that have a live network connection or data connection to an organization. So that's like an awareness and discovery tool because now we can see and pull the veil back and see what the bigger ecosystem and connectivity looks like. Thus allowing the customers to go hold accountable, not just the third parties, but their fourth parties, fifth parties really end parties. And they, and they can only do that by using scorecard. The attack surface intelligence tool is really exciting for us because well, be before security scorecard people thought what we were doing was fairly, I impossible. >>It was really hard to get instant visibility on any company and any business partner. And at the same time, it was of critical importance to have that instant visibility into the risk because companies are trying to make faster decisions and they need the risk data to steer those decisions. So when I think about, when I think about that problem in, in managing sort of this evolving landscape, what it requires is it requires insightful and actionable, real time security data. And that relies on a couple things, talent and tech on the talent side, it starts with people. We have an amazing R and D team. We invest heavily. It's the heartbeat of what we do. That team really excels in areas of data collection analysis and scaling large data sets. And then we know on the tech side, well, we figured out some breakthrough techniques and it also requires partners like confluent to help with the real time streaming. >>What we realized was those capabilities are very desired in the market. And we created a new product from it called the tech surface intelligence. A tech surface intelligence focuses less on the rating. There's, there's a persona on users that really value the rating. It's easy to understand. It's a bridge language between technical and non-technical stakeholders. That's on one end of the spectrum on the other end of the spectrum. There's customers and users, very technical customers and users that may not have as much interest in a layman's rating, but really want a deep dive into the strong threat Intel data and capabilities and insights that we're producing. So we produced ASI, which stands for attack surface intelligence that allows customers to look at the surface area of attack all of the digital assets for any organization and see all of the threats, vulnerabilities, bad actors, including sometimes discoveries of zero day vulnerabilities that are, that are out in the wild and being exploited by bad guys. So we have a really strong pulse on what's happening on the internet, good and bad. And we created that product to help service a market that was interested in, in going deep into the data. >>So it's >>So critical. Go >>Ahead to jump in there real quick, because I think the points that Sam brought up, we had a great, great discussion recently while we were building on the case study that I think brings this to life, going back to the AVD product that Sam talked about and, and Sam can probably do a better job of walking through the story, but the way I understand it, one of security scorecards customers approached them and told them that they had an issue to resolve and what they ended up. So this customer was using an AVD product at the time. And so they said that, Hey, the car SSE, they said, Hey, your product shows that we used, you were using HubSpot, but we stopped using that age server. And so I think when SSE investigated, they did find a very recent HubSpot ping being used by the marketing team in this instance. And as someone who comes from that marketing background, I can raise my hand and said, I've been there, done that. So, so yeah, I mean, Sam can probably share his thoughts on this, but that's, I think the great story that sort of brings this all to life in terms of how actually customers go about using SSCs products. >>And Sam, go ahead on that. It sounds like, and one of the things I'm hearing that is a benefit is reduction in shadow. It, I'm sure that happens so frequently with your customers about Mar like a great example that you gave of, of the, the it folks saying we don't use HubSpot, have it in years marketing initiates an instance. Talk about that as some of the benefits in it for customers reducing shadow it, there's gotta be many more benefits from a security perspective. >>Yeah, the, there's a, there's a big challenge today because the market moved to the cloud and that makes it really easy for anybody in an organization to go sign, sign up, put in a credit card, or get a free trial to, to any product. And that product can very easily connect into the corporate system and access the data. And because of the nature of how cloud products work and how easy they are to sign up a byproduct of that is they sort of circumvent a traditional risk assessment process that, that organizations go through and organizations invest a, a lot of money, right? So there's a lot of time and money and energy that are invested in having good procurement risk management life cycles, and making sure that contracts are buttoned up. So on one side you have companies investing loads of energy. And then on the other side, any employee can circumvent that process by just going and with a few clicks, signing up and purchasing a product. >>And that's, and, and, and then that causes a, a disparity and Delta between what the technology and security team's understanding is of the landscape and, and what reality is. And we're trying to close that gap, right? We wanna close and reduce any windows of time or opportunity where a hacker can go discover some misconfigured cloud asset that somebody signed up for and maybe forgot to turn off. I mean, it's a lot of it is just human error and it, and it happens the example that Barra gave, and this is why understanding the third parties are so important. A customer contacted us and said, Hey, you're a V D detection product has an error. It's showing we're using a product. I think it was HubSpot, but we stopped using that. Right. And we don't understand why you're still showing it. It has to be a false positive. >>So we investigated and found that there was a very recent live HubSpot connection, ping being made. Sure enough. When we went back to the customer said, we're very confident the data's accurate. They looked into it. They found that the marketing team had started experimenting with another instance of HubSpot on the side. They were putting in real customer data in that instance. And it, it, you know, it triggered a security assessment. So we, we see all sorts of permutations of it, large multinational companies spin up a satellite office and a contractor setting up the network equipment. They misconfigure it. And inadvertently leave an administrator portal to the Cisco router exposed on the public internet. And they forget to turn off the administrative default credentials. So if a hacker stumbles on that, they can ha they have direct access to the network. We're trying to catch those things and surface them to the client before the hackers find it. >>So we're giving 'em this, this hacker's eye view. And without the continuous data analysis, without the stream processing, the customer wouldn't have known about those risks. But if you can automatically know about the risks as they happen, what that does is that prevents a million shoulder taps because the customer doesn't have to go tap on the marketing team's shoulder and go tap on employees and manually interview them. They have the data already, and that can be for their company. That can be for any company they're doing business with where they're storing and processing data. That's a huge time savings and a huge risk reduction, >>Huge risk reduction. Like you're taking blinders off that they didn't even know were there. And I can imagine Sam tune in the last couple of years, as SAS skyrocketed the use of collaboration tools, just to keep the lights on for organizations to be able to communicate. There's probably a lot of opportunity in your customer base and perspective customer base to engage with you and get that really full 360 degree view of their entire organization. Third parties, fourth parties, et cetera. >>Absolutely. Absolutely. CU customers are more engaged than they've ever been because that challenge of the market moving to the cloud, it hasn't stopped. We've been talking about it for a long time, but there's still a lot of big organizations that are starting to dip their toe in the pool and starting to cut over from what was traditionally an in-house data center in the basement of the headquarters. They're, they're moving over to the cloud. And then on, on top of that cloud providers like Azure, AWS, especially make it so easy for any company to go sign up, get access, build a product, and launch that product to the market. We see more and more organizations sitting on AWS, launching products and software. The, the barrier to entry is very, very low. And the value in those products is very, very high. So that's drawing the attention of organizations to go sign up and engage. >>The challenge then becomes, we don't know who has control over this data, right? We don't have know who has control and visibility of our data. We're, we're bringing that to surface and for vendors themselves like, especially companies that sit in AWS, what we see them doing. And I think Lisa, this is what you're alluding to. When companies engage in their own scorecard, there's a bit of a social aspect to it. When they look good in our platform, other companies are following them, right? So now all of the sudden they can make one motion to go look good, make their scorecard buttoned up. And everybody who's looking at them now sees that they're doing the right things. We actually have a lot of vendors who are customers, they're winning more competitive bakeoffs and deals because they're proving to their clients faster that they can trust them to store the data. >>So it's a bit of, you know, we're in a, two-sided kind of market. You have folks that are assessing other folks. That's fun to look at others and see how they're doing and hold them accountable. But if you're on the receiving end, that can be stressful. So what we've done is we've taken the, that situation and we've turned it into a really positive and productive environment where companies, whether they're looking at someone else or they're looking at themselves to prove to their clients, to prove to the board, it turns into a very productive experience for them >>One. Oh >>Yeah. That validation. Go ahead, bro. >>Really. I was gonna ask Sam his thoughts on one particular aspect. So in terms of the industry, Sam, that you're seeing sort of really moving to the cloud and like this need for secure data, making sure that the data can be trusted. Are there specific like verticals that are doing that better than the others? Or do you see that across the board? >>I think some industries have it easier and some industries have it harder, definitely in industries that are, I think, health, healthcare, financial services, a absolutely. We see heavier activity there on, on both sides, right? They they're, they're certainly becoming more and more proactive in their investments, but the attacks are not stopping against those, especially healthcare because the data is so valuable and historically healthcare was under, was an underinvested space, right. Hospitals. And we're always strapped for it folks. Now, now they're starting to wake up and pay very close attention and make heavier investments. >>That's pretty interesting. >>Tremendous opportunity there guys. I'm sorry. We are out of time, but this is such an interesting conversation. You see, we keep going, wanna ask you both where can, can prospective interested customers go to learn more on the SSC side, on the confluence side, through the AWS marketplace? >>I let some go first. >>Sure. Oh, thank thank, thank you. Thank you for on the security scorecard side. Well look, security scorecard is with the help of Colu is, has made it possible to instantly rate the security posture of any company in the world. We have 12 million organizations rated today and, and that, and that's going up every day. We invite any company in the world to try security scorecard for free and experience how, how easy it is to get your rating and see the security rating of, of any company and any, any company can claim their score. There's no, there's no charge. They can go to security, scorecard.com and we have a special, actually a special URL security scorecard.com/free-account/aws marketplace. And even better if someone's already on AWS, you know, you can view our security posture with the AWS marketplace, vendor insights, plugin to quickly and securely procure your products. >>Awesome. Guys, this has been fantastic information. I'm sorry, bro. Did you wanna add one more thing? Yeah. >>I just wanted to give quick call out leads. So anyone who wants to learn more about data streaming can go to www confluent IO. There's also an upcoming event, which has a separate URL. That's coming up in October where you can learn all about data streaming and that URL is current event.io. So those are the two URLs I just wanted to quickly call out. >>Awesome guys. Thanks again so much for partnering with the cube on season two, episode four of our AWS startup showcase. We appreciate your insights and your time. And for those of you watching, thank you so much. Keep it right here for more action on the, for my guests. I am Lisa Martin. We'll see you next time.

Published Date : Sep 7 2022

SUMMARY :

It's great to have you on the program talking about cybersecurity. You've been on the queue before, but give the audience just a little bit of context about And the way it works the flaws that are inherent to their business. Rob, let's bring you into the conversation, talk about confluent, give the audience that overview and then talk about what a fundamentally new category of data infrastructure that is at the core of what what the data streaming pipelines enable enabled by confluent allow SSE to do for And so going back to the points I brought up earlier with conference, And so the entire premise of data streaming is built on the concepts. It's at it's at the core of what we do and getting, Just to have partners that are there saying, we understand your problem. Talk about the partnership from, from confluence perspective, how has it enabled confluence to So I know a stat that we talked about And so the learning for us is really seeing how those millions and billions Talk to us about that, the importance of that, and another release that you're making. and the risk can live not just in the third parties, Thus allowing the customers to go hold accountable, not just the third parties, And at the same time, it was of critical importance to have that instant visibility into the risk because And we created a new product from it called the tech surface intelligence. So critical. to resolve and what they ended up. Talk about that as some of the benefits in it for customers reducing shadow it, And because of the nature I mean, it's a lot of it is just human error and it, and it happens the example that Barra gave, And they forget to turn off the administrative default credentials. a million shoulder taps because the customer doesn't have to go tap on the marketing team's shoulder and go tap just to keep the lights on for organizations to be able to communicate. because that challenge of the market moving to the cloud, it hasn't stopped. So now all of the sudden they can make one motion to go look to prove to the board, it turns into a very productive experience for them Go ahead, bro. need for secure data, making sure that the data can be trusted. Now, now they're starting to wake up and pay very close attention and make heavier investments. learn more on the SSC side, on the confluence side, through the AWS marketplace? They can go to security, scorecard.com and we have a special, Did you wanna add one more thing? can go to www confluent IO. And for those of you watching,

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Sam Kassoumeh, SecurityScorecard | CUBE Conversation


 

(upbeat music) >> Hey everyone, welcome to this CUBE conversation. I'm John Furrier, your host of theCUBE here in Palo Alto, California. We've got Sam Kassoumeh, co-founder and chief operating office at SecurityScorecard here remotely coming in. Thanks for coming on Sam. Security, Sam. Thanks for coming on. >> Thank you, John. Thanks for having me. >> Love the security conversations. I love what you guys are doing. I think this idea of managed services, SaaS. Developers love it. Operation teams love getting into tools easily and having values what you guys got with SecurityScorecard. So let's get into what we were talking before we came on. You guys have a unique solution around ratings, but also it's not your grandfather's pen test want to be security app. Take us through what you guys are doing at SecurityScorecard. >> Yeah. So just like you said, it's not a point in time assessment and it's similar to a traditional credit rating, but also a little bit different. You can really think about it in three steps. In step one, what we're doing is we're doing threat intelligence data collection. We invest really heavily into R&D function. We never stop investing in R&D. We collect all of our own data across the entire IPV force space. All of the different layers. Some of the data we collect is pretty straightforward. We might crawl a website like the example I was giving. We might crawl a website and see that the website says copyright 2005, but we know it's 2022. Now, while that signal isn't enough to go hack and break into the company, it's definitely a signal that someone might not be keeping things up to date. And if a hacker saw that it might encourage them to dig deeper. To more complex signals where we're running one of the largest DNS single infrastructures in the world. We're monitoring command and control malware and its behaviors. We're essentially collecting signals and vulnerabilities from the entire IPV force space, the entire network layer, the entire web app player, leaked credentials. Everything that we think about when we talk about the security onion, we collect data at each one of those layers of the onion. That's step one. And we can do all sorts of interesting insights and information and reports just out of that thread intel. Now, step two is really interesting. What we do is we go identify the attack surface area or what we call the digital footprint of any company in the world. So as a customer, you can simply type in the name of a company and we identify all of the domains, sub domains, subsidiaries, organizations that are identified on the internet that belong to that organization. So every digital asset of every company we go out and we identify that and we update that every 24 hours. And step three is the rating. The rating is probabilistic and it's deterministic. The rating is a benchmark. We're looking at companies compared to their peers of similar size within the same industry and we're looking at how they're performing. And it's probabilistic in the sense that companies that have an F are about seven to eight times more likely to experience a breach. We're an A through F scale, universally understood. Ds and Fs, more likely to experience a breach. A's we see less breaches now. Like I was mentioning before, it doesn't mean that an F is always going to get hacked or an A can never get hacked. If a nation state targets an A, they're going to eventually get in with enough persistence and budget. If the pizza shop on the corner has an F, they may never get hacked because no one cares, but natural correlation, more doors open to the house equals higher likelihood someone unauthorized is going to walk in. So it's really those three steps. The collection, we map it to the surface area of the company and then we produce a rating. Today we're rating about 12 million companies every single day. >> And how many people do you have as customers? >> We have 50,000 organizations using us, both free and paid. We have a freemium tier where just like Yelp or a LinkedIn business profile. Any company in the world has a right to go claim the score. We never extort companies to fix the score. We never charge a company to see the score or fix it. Any company in a world without paying us a cent can go in. They can understand what we're seeing about them, what a hacker could see about their environment. And then we empower them with the tools to fix it and they can fix it and the score will go up. Now companies pay us because they want enterprise capabilities. They want additional modules, insights, which we can talk about. But in total, there's about 50,000 companies that at any given point in time, they're monitoring about a million and a half organizations of the 12 million that we're rating. It sounds like Google. >> If you want to look at it. >> Sounds like Google Search you got going on there. You got a lot of search and then you create relevance, a score, like a ranking. >> That's precisely it. And that's exactly why Google ventures invested in us in our Series B round. And they're on our board. They looked and they said, wow, you guys are building like a Google Search engine over some really impressive threat intelligence. And then you're distilling it into a score which anybody in the world can easily understand. >> Yeah. You obviously have page rank, which changed the organic search business in the late 90s, early 2000s and the rest is history. AdWords. >> Yeah. >> So you got a lot of customer growth there potentially with the opt-in customer view, but you're looking at this from the outside in. You're looking at companies and saying, what's your security posture? Getting a feel for what they got going on and giving them scores. It sounds like it's not like a hacker proof. It's just more of a indicator for management and the team. >> It's an indicator. It's an indicator. Because today, when we go look at our vendors, business partners, third parties were flying blind. We have no idea how they're doing, how they're performing. So the status quo for the last 20 years has been perform a risk assessments, send a questionnaire, ask for a pen test and an audit evidence. We're trying to break that cycle. Nobody enjoys it. They're long tail. It's a trust without verification. We don't really like that. So we think we can evolve beyond this point in time assessment and give a continuous view. Now, today, historically, we've been outside in. Not intrusive, and we'll show you what a hacker can see about an environment, but we have some cool things percolating under the hood that give more of a 360 view outside, inside, and also a regulatory compliance view as well. >> Why is the compliance of the whole third party thing that you're engaging with important? Because I mean, obviously having some sort of way to say, who am I dealing with is important. I mean, we hear all kinds of things in the security landscape, oh, zero trust, and then we hear trust, supply chain, software risk, for example. There's a huge trust factor there. I need to trust this tool or this container. And then you got the zero trust, don't trust anything. And then you've got trust and verify. So you have all these different models and postures, and it just seems hard to keep up with. >> Sam: It's so hard. >> Take us through what that means 'cause pen tests, SOC reports. I mean the clouds help with the SOC report, but if you're doing agile, anything DevOps, you basically would need to do a pen test like every minute. >> It's impossible. The market shifted to the cloud. We watched and it still is. And that created a lot of complexity, not to date myself. But when I was starting off as a security practitioner, the data center used to be in the basement and I would have lunch with the database administrator and we talk about how we were protecting the data. Those days are long gone. We outsource a lot of our key business practices. We might use, for example, ADP for a payroll provider or Dropbox to store our data. But we've shifted and we no longer no who that person is that's protecting our data. They're sitting in another company in another area unknown. And I think about 10, 15 years ago, CISOs had the realization, Hey, wait a second. I'm relying on that third party to function and operate and protect my data, but I don't have any insight, visibility or control of their program. And we were recommended to use questionnaires and audit forms, and those are great. It's good hygiene. It's good practice. Get to know the people that are protecting your data, ask them the questions, get the evidence. The challenge is it's point in time, it's limited. Sometimes the information is inaccurate. Not intentionally, I don't think people intentionally want to go lie, but Hey, if there's a $50 million deal we're trying to close and it's dependent on checking this one box, someone might bend a rule a little bit. >> And I said on theCUBE publicly that I think pen test reports are probably being fudged and dates being replicated because it's just too fast. And again, today's world is about velocity on developers, trust on the code. So you got all kinds of trust issues. So I think verification, the blue check mark on Twitter kind of thing going on, you're going to see a lot more of that and I think this is just the beginning. I think what you guys are doing is scratching the surface. I think this outside in is a good first step, but that's not going to solve the internal problem that still coming and have big surface areas. So you got more surface area expanding. I mean, IOT's coming in, the Edge is coming fast. Never mind hybrid on-premise cloud. What's your organizations do to evaluate the risk and the third party? Hands shaking, verification, scorecards. Is it like a free look here or is it more depth to it? Do you double click on it? Take us through how this evolves. >> John it's become so disparate and so complex, Because in addition to the market moving to the cloud, we're now completely decentralized. People are working from home or working hybrid, which adds more endpoints. Then what we've learned over time is that it's not just a third party problem, because guess what? My third parties behind the scenes are also using third parties. So while I might be relying on them to process my customer's payment information, they're relying on 20 vendors behind the scene that I don't even know about. I might have an A, they might have an A. It's really important that we expand beyond that. So coming out of our innovation hub, we've developed a number of key capabilities that allow us to expand the value for the customer. One, you mentioned, outside in is great, but it's limited. We can see what a hacker sees and that's helpful. It gives us pointers where to maybe go ask double click, get comfort, but there's a whole nother world going on behind the firewall inside of an organization. And there might be a lot of good things going on that CISO security teams need to be rewarded for. So we built an inside module and component that allows teams to start plugging in the tools, the capabilities, keys to their cloud environments. And that can show anybody who's looking at the scorecard. It's less like a credit score and more like a social platform where we can go and look at someone's profile and say, Hey, how are things going on the inside? Do they have two-factor off? Are there cloud instances configured correctly? And it's not a point in time. This is a live connection that's being made. This is any point in time, we can validate that. The other component that we created is called an evidence locker. And an evidence locker, it's like a secure vault in my scorecard and it allows me to upload things that you don't really stand for or check for. Collateral, compliance paperwork, SOC 2 reports. Those things that I always begrudgingly email. I don't want to share with people my trade secrets, my security policies, and have it sit on their exchange server. So instead of having to email the same documents out, 300 times a month, I just upload them to my evidence locker. And what's great is now anybody following my scorecard can proactively see all the great things I'm doing. They see the outside view. They see the inside view. They see the compliance view. And now they have the holy grail view of my environment and can have a more intelligent conversation. >> Access to data and access methods are an interesting innovation area around data lineage. Tracing is becoming a big thing. We're seeing that. I was just talking with the Snowflake co-founder the other day here in theCUBE about data access and they're building a proprietary mesh on top of the clouds to figure out, Hey, I don't want to give just some tool access to data because I don't know what's on the other side of those tools. Now they had a robust ecosystem. So I can see this whole vendor risk supply chain challenge around integration as a huge problem space that you guys are attacking. What's your reaction to that? >> Yeah. Integration is tricky because we want to be really particular about who we allow access into our environment or where we're punching holes in the firewall and piping data out out of the environment. And that can quickly become unwieldy just with the control that we have. Now, if we give access to a third party, we then don't have any control over who they're sharing our information with. When I talk to CISOs today about this challenge, a lot of folks are scratching their head, a lot of folks treat this as a pet project. Like how do I control the larger span beyond just the third parties? How do I know that their software partners, their contractors that they're working with building their tools are doing a good job? And even if I know, meaning, John, you might send me a list of all of your vendors. I don't want to be the bad guy. I don't really have the right to go reach out to my vendors' vendors knocking on their door saying, hi, I'm Sam. I'm working with John and he's your customer. And I need to make sure that you're protecting my data. It's an awkward chain of conversation. So we're building some tools that help the security teams hold the entire ecosystem accountable. We actually have a capability called automatic vendor discovery. We can go detect who are the vendors of a company based on the connections that we see, the inbound and outbound connections. And what often ends up happening John is we're bringing to the attention to our customers, awareness about inbound and outbound connections. They had no idea existed. There were the shadow IT and the ghost vendors that were signed without going through an assessment. We detect those connections and then they can go triage and reduce the risk accordingly. >> I think that risk assessment of vendors is key. I was just reading a story about this, about how a percentage, I forget the number. It was pretty large of applications that aren't even being used that are still on in companies. And that becomes a safe haven for bad actors to hang out and penetrate 'cause they get overlooked 'cause no one's using them, but they're still online. And so there's a whole, I called cleaning up the old dead applications that are still connected. >> That happens all the time. Those applications also have applications that are dead and applications that are alive may also have users that are dead as well. So you have that problem at the application level, at the user level. We also see a permutation of what you describe, which is leftover artifacts due to configuration mistakes. So a company just put up a new data center, a satellite office in Singapore and they hired a team to go install all the hardware. Somebody accidentally left an administrative portal exposed to the public internet and nobody knew the internet works, the lights are on, the office is up and running, but there was something that was supposed to be turned off that was left turned on. So sometimes we bring to company's attention and they say, that's not mine. That doesn't belong to me. And we're like, oh, well, we see some reason why. >> It's his fault. >> Yeah and they're like, oh, that was the contractor set up the thing. They forgot to turn off the administrative portal with the default login credentials. So we shut off those doors. >> Yeah. Sam, this is really something that's not talked about a lot in the industry that we've become so reliant on managed services and other people, CISOs, CIOs, and even all departments that have applications, even marketing departments, they become reliant on agencies and other parties to do stuff for them which inherently just increases the risk here of what they have. So there inherently could be as secure as they could be, but yet exposed completely on the other side. >> That's right. We have so many virtual touch points with our partners, our vendors, our managed service providers, suppliers, other third parties, and all the humans that are involved in that mix. It creates just a massive ripple effect. So everybody in a chain can be doing things right. And if there's one bad link, the whole chain breaks. I know it's like the cliche analogy, but it rings true. >> Supply chain trust again. Trust who you trust. Let's see how those all reconcile. So Sam, I have to ask you, okay, you're a former CISO. You've seen many movies in the industry. Co-founded this company. You're in the front lines. You've got some cool things happening. I can almost imagine the vision is a lot more than just providing a rating and score. I'm sure there's more vision around intelligence, automation. You mentioned vault, wallet capabilities, exchanging keys. We heard at re:Inforce automated reasoning, metadata reasoning. You got all kinds of crypto and quantum. I mean, there's a lot going on that you can tap into. What's your vision where you see SecurityScorecard going? >> When we started the company, the rating was the thing that we sold and it was a language that helped technical and non-technical folks alike level the playing field and talk about risk and use it to drive their strategy. Today, the rating just opens the door to that discussion and there's so much additional value. I think in the next one to two years, we're going to see the rating becomes standardized. It's going to be more frequently asked or even required or leveraged by key decision makers. When we're doing business, it's going to be like, Hey, show me your scorecard. So I'm seeing the rating get baked more and more the lexicon of risk. But beyond the rating, the goal is really to make a world a safer place. Help transform and rise the tide. So all ships can lift. In order to do that, we have to help companies, not only identify the risk, but also rectify the risk. So there's tools we build to really understand the full risk. Like we talked about the inside, the outside, the fourth parties, fifth parties, the real ecosystem. Once we identified where are all the Fs and bad things, will then what? So couple things that we're doing. We've launched a pro serve arm to help companies. Now companies don't have to pay to fix the score. Anybody, like I said, can fix the score completely free of charge, but some companies need help. They ask us and they say, Hey, I'm looking for a trusted advisor. A Sherpa, a guide to get me to a better place or they'll say, Hey, I need some pen testing services. So we've augmented a service arm to help accelerate the remediation efforts. We're also partnered with different industries that use the rating as part of a larger picture. The cyber rating isn't the end all be all. When companies are assessing risk, they may be looking at a financial ratings, ESG ratings, KYC AML, cyber security, and they're trying to form a complete risk profile. So we go and we integrate into those decision points. Insurance companies, all the top insurers, re-insurers, brokers are leveraging SecurityScorecard as an ingredient to help underwrite for cyber liability insurance. It's not the only ingredient, but it helps them underwrite and identify the help and price the risk so they can push out a policy faster. First policy is usually the one that's signed. So time to quote is an important metric. We help to accelerate that. We partner with credit rating agencies like Fitch, who are talking to board members, who are asking, Hey, I need a third party, independent verification of what my CISO is saying. So the CISO is presenting the rating, but so are the proxy advisors and the ratings companies to the board. So we're helping to inform the boards and evolve how they're thinking about cyber risk. We're helping with the insurance space. I think that, like you said, we're only scratching the surface. I can see, today we have about 50,000 companies that are engaging a rating and there's no reason why it's not going to be in the millions in just the next couple years here. >> And you got the capability to bring in more telemetry and see the new things, bring that into the index, bring that into the scorecard and then map that to potential any vulnerabilities. >> Bingo. >> But like you said, the old days, when you were dating yourself, you were in a glass room with a door lock and key and you can see who's two folks in there having lunch, talking database. No one's going to get hurt. Now that's gone, right? So now you don't know who's out there and machines. So you got humans that you don't know and you got machines that are turning on and off services, putting containers out there. Who knows what's in those payloads. So a ton of surface area and complexity to weave through. I mean only is going to get done with automation. >> It's the only way. Part of our vision includes not attempting to make a faster questionnaire, but rid ourselves of the process all altogether and get more into the continuous assessment mindset. Now look, as a former CISO myself, I don't want another tool to log into. We already have 50 tools we log into every day. Folks don't need a 51st and that's not the intent. So what we've done is we've created today, an automation suite, I call it, set it and forget it. Like I'm probably dating myself, but like those old infomercials. And look, and you've got what? 50,000 vendors business partners. Then behind there, there's another a hundred thousand that they're using. How are you going to keep track of all those folks? You're not going to log in every day. You're going to set rules and parameters about the things that you care about and you care depending on the nature of the engagement. If we're exchanging sensitive data on the network layer, you might care about exposed database. If we're doing it on the app layer, you're going to look at application security vulnerabilities. So what our customers do is they go create rules that say, Hey, if any of these companies in my tier one critical vendor watch list, if they have any of these parameters, if the score drops, if they drop below a B, if they have these issues, pick these actions and the actions could be, send them a questionnaire. We can send the questionnaire for you. You don't have to send pen and paper, forget about it. You're going to open your email and drag the Excel spreadsheet. Those days are over. We're done with that. We automate that. You don't want to send a questionnaire, send a report. We have integrations, notify Slack, create a Jira ticket, pipe it to ServiceNow. Whatever system of record, system of intelligence, workflow tools companies are using, we write in and allow them to expedite the whole. We're trying to close the window. We want to close the window of the attack. And in order to do that, we have to bring the attention to the people as quickly as possible. That's not going to happen if someone logs in every day. So we've got the platform and then that automation capability on top of it. >> I love the vision. I love the utility of a scorecard, a verification mark, something that could be presented, credential, an image, social proof. To security and an ongoing way to monitor it, observe it, update it, add value. I think this is only going to be the beginning of what I would see as much more of a new way to think about credentialing companies. >> I think we're going to reach a point, John, where and some of our customers are already doing this. They're publishing their scorecard in the public domain, not with the technical details, but an abstracted view. And thought leaders, what they're doing is they're saying, Hey, before you send me anything, look at my scorecard securityscorecard.com/securityrating, and then the name of their company, and it's there. It's in the public domain. If somebody Googles scorecard for certain companies, it's going to show up in the Google Search results. They can mitigate probably 30, 40% of inbound requests by just pointing to that thing. So we want to give more of those tools, turn security from a reactive to a proactive motion. >> Great stuff, Sam. I love it. I'm going to make sure when you hit our site, our company, we've got camouflage sites so we can make sure you get the right ones. I'm sure we got some copyright dates. >> We can navigate the decoys. We can navigate the decoys sites. >> Sam, thanks for coming on. And looking forward to speaking more in depth on showcase that we have upcoming Amazon Startup Showcase where you guys are going to be presenting. But I really appreciate this conversation. Thanks for sharing what you guys are working on. We really appreciate. Thanks for coming on. >> Thank you so much, John. Thank you for having me. >> Okay. This is theCUBE conversation here in Palo Alto, California. Coming in from New York city is the co-founder, chief operating officer of securityscorecard.com. I'm John Furrier. Thanks for watching. (gentle music)

Published Date : Aug 18 2022

SUMMARY :

to this CUBE conversation. Thanks for having me. and having values what you guys and see that the website of the 12 million that we're rating. then you create relevance, wow, you guys are building and the rest is history. for management and the team. So the status quo for the and it just seems hard to keep up with. I mean the clouds help Sometimes the information is inaccurate. and the third party? the capabilities, keys to the other day here in IT and the ghost vendors I forget the number. and nobody knew the internet works, the administrative portal the risk here of what they have. and all the humans that You're in the front lines. and the ratings companies to the board. and see the new things, I mean only is going to and get more into the I love the vision. It's in the public domain. I'm going to make sure when We can navigate the decoys. And looking forward to speaking Thank you so much, John. city is the co-founder,

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Chase Doelling Final


 

(upbeat music) >> Hey, everyone. Welcome to this CUBE Conversation that's part of the AWS startup showcase Season Two, Episode Four. I'm your host Lisa Martin. Chase Doelling joins me, the principles strategist at JumpCloud. Chase, welcome to theCUBE. It's great to have you. >> Chase: Perfect. Well, thank you so much, Lisa. I really appreciate the opportunity to come and hang out. >> Let's talk about JumpCloud. First of all, love the name. This is an open directory platform. Talk to the audience about what the platform is, obviously, the evolution of the domain controller. But give us that backstory? >> Yeah, absolutely. And so, company was started, and I think, from serial entrepreneurs, and after kind of last exit, taking a look around and saying, "Why is this piece of hardware still the dominant force when you're thinking about identities, especially when the world is moving to cloud, and all the different pieces that have been around it?" And so, over the years, we've evolved JumpCloud into an open directory platform. And what that is, is we're managing your identities, the devices that are associated to that, all the access points that employees need just to get their job done. And the best part is, is we're able to do that no matter where they are within the world. >> It seems like kind of a reinvention of how modern IT teams are getting worked done, especially in these days of remote work. Talk to me a little bit about the last couple of years particularly as remote work exploded, and here we are still probably, permanently, in that situation? >> Yeah, absolutely. And I think it's probably going to be one of those situations where we stick with it for quite a while. We had a very abrupt force in making sure that essentially every IT and security team could grapple with the fact of their users are no longer coming into the office. You know, how do we VPN into all of our different resources? Those are very common and unfortunate pain points that we've had over the last couple years. And so, now, people have starting to kind of get into the motion of it, working from home, having background and setups and other pieces. But one of the main areas of concern, especially as you're thinking about that, is how does it relate to my security infrastructure, or kind of my approach to my organization. And making sure that too, on the tail end, that a user's access and making sure that they can get into everything that they need to do in order to get work done, is still happening? And so, what we've done, is we've really taken, evolving and really kind of ripping apart this notion of what a directory was. 'Cause originally, it was just like, great, almost like a phone directory. It's where people lived they're going into all those different pieces. But it wasn't set up for the modern world, and kind of how we're approaching it, and how organizations now are started with a credit card and have all of their infrastructure. And essentially, all of their IP, is now hosted somewhere else. And so, we wanted to take a different approach where we're thinking about, not only managing that identity, but taking an open approach. So, matter where the identity's coming from, we can integrate that into the platform but then we're also managing and securing those devices, which is often the most important piece that we have sitting right in front of us in order to get into that. But then, also that final question, of when you're accessing networks applications, can you create the conditions for trust, right? And so, if you're looking at zero trust, or kind of going after different levels of compliance, ISO, SOC2, whatever that might be, making sure that you have all that put in place no matter where your employees are. So, in that way, as we kind of moved into this remote, now hybrid world, it wasn't the office as the gating point anymore, right? So, key cards, as much as we love 'em, final part, whereas the new perimeter, the kind of the new barrier for organizations especially how they're thinking about security, is the people's identities behind that. And so, that's the approach that we really wanted to take as we continue to evolve and really open up what a directory platform can do. >> Yeah. Zero trust security, remote work. Two things that have exploded in the last couple of years. But as employees, we expected to be able to still have the access that we needed to apps, to the network, to WiFi, et cetera. And, of course, on the security side, we saw massive changes in the threat landscape that really, obviously, security elevates to a board level conversation. So, I imagine zero trust security, remote work, probably compliance, you mentioned SOC2, are some of the the key use cases that you're helping organizations with? >> Those are a lot of the drivers. And what we do, is we're able to combine a lot of different aspects that you need for each one of those. And so, now you're thinking about essentially, the use case of someone joins an organization, they need access to all these different things. But behind the scenes, it's a combination of identity access management, device management, applications, networks, everything else, and creating those conditions for them to do their roles. But the other piece of that, is you also don't want to be overly cumbersome. I think a lot of us think about security as like great biometrics, so I'm going to add in these keys, I'm going to do everything else to kind of get into these secured resources. But the reality of it now, is those secure resources might be AWS infrastructure. It might be other Salesforce reporting tools. It might be other pieces, or kind of IP within the organization. And those are now your crown jewel. And so, if you're not thinking about the identities behind them and the security that you have in order to facilitate that transaction, it becomes a board level conversation very quickly. But you want to do it in a way that people can move forward with their lives, and they're not spending a ton of time battling the systems and procedures you put in place to protect it, but that it's working together seamlessly. And so, that's where, kind of this notion for us of bringing all these different technologies into one platform. You're able to consolidate a lot of those and remove a lot of the friction while maintaining the visibility, and answering the question, of who has access to what? And when did they do that? Those are the most critical pieces that IT and security teams are asking themselves when something happens. And hopefully, on the preventative side and not so much on the redacted side. >> Have you seen the escalation up the C-Suite change of the board in terms of really focusing on how do we do identity management? How do we do single sign on? How do we do device management and network access? Is that all the way up to the C-Suite board level as well? >> It certainly can be. And we've seen it in a lot of different conversations, because now you are thinking about all different portions of the organization. And then, two, as we're thinking about times we're currently in, there's also a cost associated to that. And so, when you start to consolidate all of those technologies into one area, now it becomes much more of total cost optimization types of story while you're still maintaining a lot of the security and basic blocking and tackling that you need for most organizations. So, everything you just mentioned, those are now table stakes for a lot of small, medium, startups to be at the table. So, how do you have access to enterprise level, essentially technology, without the cost that's associated to it. And that's a lot of the trade offs that organizations are facing and having those types of conversations as it relates to business preparedness and how we're making sure that we are putting our best foot forward, and we're able to be resilient in no matter what type, of either economic or security threat that the organization might be looking at. >> So, let's talk about the go-to market, the strategy from a sales and marketing perspective. Where are the customer conversations happening? Are they at the IT level? Are they higher up the stack? >> It's really at, I'd say the IT level. And so, by that, I mean the builders, the implementers, everyone that's responsible for putting devices in people's hands, and making sure that they can do their job effectively. And so, those are their, I'd say the IT admins the world as well as the managed service providers who support those organizations, making sure that we can enable them to making sure that their organizations or their client organizations have all the tools that their disposable to make sure that they have the security or the policies, and the technology behind them to enable all those different practices. >> Let's unpack the benefits from an IT perspective? Obviously, they're getting one console that they can manage at all. One user identity for email, and devices, and apps, and things. You mentioned regardless of location, but this is also regardless of operating system, correct? >> That's correct. And so, part of taking an open approach, is also the devices that you're running on. And so, we take a cross OS approach. So, Mac, Windows, Linux, iPhone, whatever it might be, we can make sure that, that device is secure. And so, it does a couple different things. So, one, is the employees have device choice, right? So, I'm a Mac person coming in. If forced into a Windows, it'd be an interesting experience. But then, also too, from the back end, now you have essentially one platform to manage your entire fleet. And also give visibility and data behind what's happening behind those. And then, from the end user perspective as well, everything's tied together. And so, instead of having, what we'll call user ID schizophrenia, it might be one employee, but hundreds of different identities and logins just to get their work done. We can now centralize that into one person, making sure you have one password to get into your advice, get into the network, to get into your single sign on. We also have push MFA associated with that. So, you can actually create the conditions for your most secured access, or you understand, say, "Hey, I'm actually in the office. I'm going to be a hybrid employee. Maybe I can actually relax some of those security concerns I might have for people outside of the network." And all we do, is making sure that we give all that optionality to our IT admins, manage service providers of the world to enable that type of work for their employees to happen. >> So, they have the ability to toggle that, is critically important in this day and age of the hybrid work model, that's probably here to stay? >> It is, yeah. And it's something that organizations change, right? Our own organizations, they grow, they change different. New threats might emerge, or same old existing threats continue to come back. And we need to just have better processes and automations put within that. And it's when you start to consolidate all of those technologies, not only are you thinking about the visibility behind that, but then you're automating a lot of those different pieces that are already tightly coupled together. And that actually is truly powerful for a lot of the IT admins of the world, because that's where they spend a lot of time, and they're able to spend more time helping users tackling big projects instead of run rate security, and blocking, and tackling. That should be enabled from the organization from the get go. >> You mentioned automation. And I think that there's got to be a TCO reduction aspect here with respect to security and IT practices. Can you talk about that a little bit? >> Yeah, absolutely. Let's think about the opposite of that. Let's say we have a laundry list of technology that we need to go out and source. One is, great, where the identity is, so we have an identity provider. Now, we need to make sure that we have application access that might look like single sign on. Now, we need to make sure, you are who you are no matter where you are in the world. Well, now we need multifactor authentication and that might involve either a push button, or biometrics. And then, well, great the device's in front of us, that's a huge component, making sure that I can understand, not only who's on the device, but that the device is secure, that there's certificates there, that there's policies that ensure the proper use of that wherever it might be. Especially, if I'm an employee, either, it used to be on the the jet center going between flying anywhere you need. Now, it's kind of cross country, cross domain, all those different areas. And when you start to have that, it really unlocks, essentially IT sprawl. You have a lot of different pieces, a lot of different contracts, trying to figure out one technology works, but the other might not. And you're now you're creating workarounds for all these different pieces. So, the opposite of that, is essentially, let's take all those technologies and consolidate that into one platform. So, not only is it cheaper essentially, looking after that and understanding all the different technologies, but now it's all the other soft costs around it that many people don't think about. It's all the other automations. It's all the workarounds that you didn't have to do in the first place. It's all the other pieces that you'd spend a lot of time trying to wire it together. Into the hopes of that, it creates some security model. But then again, you lose a lot of the visibility. So, you might have an incident happen over here, or a trigger, or alert, but it's not tied to the rest of the stack. And so, now you're spending a lot of time, especially, either trying to understand. And worse timing, is if you have an incident and you're trying to understand what's happening? Unraveling all of that as it happens, becomes impossible, especially if it's not consolidated with one platform. So, there's not only the hard cost aspect of bringing all that together, but also the soft costs of thinking about how your business can perform, or at least optimize for a lot of those different standard processes, including onboarding, offboarding, and everything else in between. >> Yeah. On the soft cost side, I can imagine. I can see huge benefits for HR onboarding, offboarding. I can see benefits for the employee experience period, which directly relates to the customer experience. So, in terms of the business impact that JumpCloud can make, it seems to be pretty horizontal across any type of organization? >> It is, and especially as you mentioned HR. Because when you think about, where does the origin of someone's identity start? Well, typically, it starts with a resume and that might be in applicant tracking software. Now, we're going to get hired, so we're going to move into HR, because, well, everyone likes payroll, and we need that in our lives, right? But now you get into the second phase, of great, now I've joined the organization. Now, I need access to all of these different pieces. But when you look at it, essentially horizontally, from HR, all the way into the employee experience, and their whole life cycle within the organization, now you're touching multiple different teams And that's one of the other, I'd say benefits of that, is now you're actually bringing in HR, and IT, and security, and everyone else that might be related within these kind of larger use cases of making work happen all coming under. And when they're tightly integrated, it's also a lot more secure, right? So, you're not passing notes along. You're not having a checklist of other stuff, especially when it relates to something as important as someone's identity, which is more often than not, the most common attack vector for people to go after. Because they know it's the keys to the kingdom. There's going to be a lot of different attempts, maybe malware and other pieces, but a lot of it comes back into, can I impersonate, or become the person that I want within the organization, because it's the identity allows you to access all those different pieces. And so, if it's coming from a disjointed process or something that's not as tightly as it could be, that's where it really opens up a lot of different vectors that organizations don't think about. >> Right, and those vectors are only growing and multiplying as we know, and here to stay. When you're in customer conversations what do you describe as maybe the top three differentiators of JumpCloud compared to the competition? >> Well, I think a lot of it is we take an open approach. And so, by that, I mean, it's one we're not locking into, I'd say different vendors or other areas. We're really looking into making sure that we can work within your environment as it stands today, or where you want to migrate in the future. And so, this could be a combination of on-prem resources, cloud resources, or nothing if you're starting a company from today. And the second, is again, coming back into how we're looking at devices. So, we take a cross OS approach that way, no matter what you're operating on, it all comes back from the same dashboard. But then, finally, we leverage a ton of different protocols to make sure it works with everything within your current technology stack, as well as it continues to elevate and evolve over time. So, it could be LD app and Radius, and Sam, and skim, and open ID Connect, and open APIs. And whatever that might be, we are able to tie in all those different pieces. So, now, all of a sudden, it's not just one platform, but you have your whole business tied into as that gives you some flexibility too, to evolve. Because even during the pandemic and the shift for remote, there's a lot of technology choices that shifted. A lot of people are like, "Okay, now's the time to go to the cloud." There might be other events that organizations change. There's other things that might happen. So, creating that flexibility for organizations to move and make those calls, is essentially how we're differentiating ourselves. And we're not locking you into this, walled garden of technology that's just our own. We really want to make sure that we can operate, and be that glue, so that way, no matter what you're trying to do and making sure that your work is being done, we can help facilitate that. >> Nice. No matter what happens. Because boy, at this day, anything's possible. One more question for you about your AWS partnership. Talk to me a little bit about that? >> Yeah, absolutely. So, we are preferred ADP identity provider and SSO provider for AWS. And so, now rebranded under their identity center. But it's crucial for a lot of our organizations and joint customers because again, when we think about a lot of organization IP and how they operate as a business, is tied into AWS. And so, really understanding, who has the right level of access? Who should be in there or not? And when too, you should challenge in making sure that actually there's something fishy there. Like let's make sure that they're not just traveling to Europe on a sabbatical, and it's really who they are instead of a threat actor. Those are some of the pieces when we're thinking about creating that authentication, but then also, the right authorization into those AWS resources. And so, that's actually something that we've been very close to, especially, I'd say that the origins of a company. Because a lot of startups, that's where they go. That's where they begin their journey. And so, we meet them where they are, and making sure that we're protecting not only everything else within their organization, but also what they're trying to get into, which is typically AWS >> Meeting customers where they are. It's all about that. Chase, thank you so much for joining me on the program talking about JumpCloud, it's open directory platform. The benefits, the capabilities, what's in it for IT, HR, security, et cetera. We appreciate all of your insights and time. Where do you want to point folks to go to learn more? >> Well, absolutely. Well, thank you so much for having us. And I'd say, if you're curious about any and all these different technologies, the best part is everything I talked about is free up to 10 users, 10 devices. So, just go to jumpcloud.com. You can create an organization, and it's great for startups, people at home. Any size company that you're at, we can help support all of those different facets in bringing in those different types of technologies all into one roof. >> Awesome. Chase, thank you so much. This is awesome, go to jumpcloud.com. For Chase Doelling, I'm Lisa Martin. We want to thank you so much for giving us some of your time and watching this CUBE Conversation. (upbeat music)

Published Date : Aug 16 2022

SUMMARY :

that's part of the AWS startup showcase I really appreciate the First of all, love the name. And so, over the years, the last couple of years And so, that's the approach And, of course, on the security and the security that you have a lot of the security So, let's talk about the go-to market, And so, by that, I mean the that they can manage at all. all that optionality to our IT admins, for a lot of the IT admins of the world, And I think that there's got to be a lot of the visibility. So, in terms of the business impact And that's one of the other, of JumpCloud compared to the competition? "Okay, now's the time to go to the cloud." Talk to me a little bit about that? I'd say that the origins of a company. joining me on the program the best part is everything I talked about This is awesome, go to jumpcloud.com.

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Iman Bashir, craftly.ai | DigitalBits VIP Dinner


 

(upbeat music) >> Okay, welcome back everyone. This is theCube's extended hours. Things are starting to settle down. Dinner has started being served. We're here with Prince Alvarez, has an invitation for the VIP gala. Part of Monaco leaning into crypto, we're reporting on it. Not our normal set, more of an after hours vibe. We're here with Iman Bashir, found of Craftly.ai. Thanks for coming on theCube. >> Thanks for having me. >> So I love your story. You're a coder, built some code, started a company. Now you're the CEO. You hired some people to wrap around support you. Now you're running the show. What a great story. How did you get here? Give me the origination story >> Basically, for as long as I can remember, I've been an entrepreneur. My parents have stories of me being too young to babysit, but I would create a babysitting agency and have sent babysitters out or I would sell my lunches. Throughout school, I would always find some kind of entrepreneurship endeavor. And when I came out of school, I kept finding myself lacking the necessary skills to really do a startup. And so that's when I discovered coding. And I took myself through coding boot camps, and I started websites and I'm like, no, I want something more perpetual. I want to make money when I sleep. And then from there I found search engine optimization. So how to get to the top of Google. And I started working really quickly with like really big companies. And immediately I realized my full budget's spent on copywriting. And so that's when I discovered you could have that written by AI. Not going to replace you, but it's there to enhance you. And so built an AI copywriter. >> And so what does it do? >> Basically you type in a couple words. It could be anything, any use case. So product descriptions for eCommerce, blog articles for any company really, web copy, even does songs. Or your next breakup text, which we'll get to that. But it does basically anything. You type in a couple words and it generates text for you. All original and plagiarism free. >> Okay. Can you write our blog post for us? >> Yeah. >> Say, hey, we're covering the crypto-con in Monaco. >> Could even do a summary of this interview, yeah. >> Well, we get that transcribed in the cloud. We'll get that in a second. First. I love the story. Okay. So now you're the CEO. Great application. So imagine you're scraping pages. You looking at summaries, doing any extraction, looking at word combinations. What were some of the tech behind it? >> We use, we leverage a bunch of different models. We use GPT3, which was founded by Sam Altman, Elon Musk, all major players that basically allows you to pull 175 billion parameters of data. Anything before it was 2 billion. So now you're talking, I'm able to pull like basically the whole internet. And from there we added different models to provide learning and to get the best quality AI out there. There's a lot of bad quality. And so from there, we're able to take it, mix and match, and have it formulate the best things. >> So where are you now? So you're in your journey, the CEO, how many people in your staff, what's the status? >> So right now we have eight full time people and a bunch of contractors. Before I was the lead developer. But now as the company's growing, I have to take a backseat and be more in a sales role versus being the one to develop it every single day. And so right now we're hiring more developers as we go. >> So the funding options must be off the charts. Offers coming in left and right. >> So tons, but definitely we're in a different market environment than we were two months ago. So as you may have heard, crypto's down, possibly, but so we were - >> On temporary basis, not truly down. >> But in the beginning, I wanted to hold as much equity as possible by bootstrapping, proving concept, doing it. I have a lot of the background and skillset to have it there. So I hired the best people. And once we prove concept, we were prepared to raise and then the market kind of slowed us down. So right now, luckily our company is self-funded and supporting itself. >> Good. >> So we're making money. We're profitable. >> What you want to do. >> Yeah. >> As much as possible. >> Yeah. And so right now we do, we are looking for growth options, funding options. We're talking to a lot of people. That's why I'm here in Monaco. But it's a good place to not be desperate. It's a good place to not need the money, but. >> You know, I always said when I was running companies and to my team, my a friend gave me great advice. You can't go out of business when you have money in the bank. >> Yeah. >> So don't run out of money. >> Basically. Luckily our product, it's a subscription basis and it's a monthly, so we're making money immediately. >> All right. So I got to ask. What's the biggest challenge you've had and putting this because it's great, great story. You're really impressive. Great vision. You coded your own product. Now you got put the team around you. >> Yeah. >> What's been the challenge. How have you handled the grind? Cuz it's, the joy in the grind can be fun. >> Yeah. >> But then it gets complicated. Start adding people to the mix and you got to get milestones. You're self-funding. Which by the way, self-funding is the hardest part. >> Yeah. >> It is difficult. >> Yeah. >> Most people think like raising a big round is the top of the mountain. No, no, no, no. Self-funding is the A-1 player. That's an A play move, A player move right there. >> Definitely. I would say if I were to go back I would get funded a lot earlier, especially with the market conditions eight months ago. But one of the biggest struggles I would, I feel I have faced was just being a younger founder. Sometimes you're, there's imposter syndrome in your, within yourself. But otherwise, a lot of times people don't take you seriously immediately. Everyone always assumes that I'm someone's girlfriend at an event. Or I, they say that's cute when talking about your business. And so you have to deal with that. Yeah. Or one time I was at a conference and someone asked how I funded the company. And I said, I created ancillary revenue streams to be able to support it. And their response was, oh, I love it when my OnlyFans funds my business. And that, immediately, >> Oh my God, that is... That is total. >> But now I use it as fire to ignite me and kind of prove everyone wrong. But I definitely would say that the journey of falling in love with the journey and realizing that no matter how big you get, your problems only get bigger. So it's choosing the right problems to solve and realizing that every day there's going to be a fire. Just living in the moment. >> Well, you're such an inspiration to me and anyone. I'm going to share your story because what you just talked about, a lot of people, being a startup, you're eating glass, you're falling on your face. You're tripping all the time. Hopefully you don't get hurt. But when people make comments like that to you, given how smart you are, and how brilliant you are, how beautiful you are, that is just unacceptable. And I think that is just a really weird thing. Like that has to change. It's like, its so unacceptable. >> I feel like the world's heading in the right direction and it's up to people to use those setbacks to ignite them and push them forward, which I'm trying to. >> You know, I was, I read a book about trauma and how trauma defines you, right? >> Yeah. >> And trauma is little trauma, family trauma and and trauma's defined >> All perspective. >> Trauma's defined as not like, oh, something dire, like little things could be like little traumas. Oh yeah, I was offended by my brother. This happened there. So experiences define you. >> Yeah. >> And I think one of the things that you just mentioned is you've made it stronger, made you stronger. >> Yeah. >> The comments made you stronger. >> Oh, I definitely see, even everything that I've been through. And this is the same for a lot of first time founders. All my previous companies I've had the blessing of working with like an older mentor that had done it before. This was the first where I kind of was on my own. And when you do that, now, if I look back on the last year and a half, I could probably do the same thing in a week. Once you do it the first time you really do learn. >> I'll just tell you. You're brilliant, beautiful. You're very impressive. >> Thank you. >> Theresa Carlson, who used to run all Amazon's web services, business and public sector. She's a Renaissance woman. She's an amazing friend. Great power. That's she always, she always says to me, and she's like you know, my father was a basketball coach. I can handle with those men. And she would say, but she said it with proud, like leaning in like, hey, that's life. I'll take what life gives me. And I think that's a lesson we're seeing more of. Because you're seeing a lot more women in tech. I did 30 interviews in Europe, the past March 7th. Okay. In three weeks. >> Yeah. >> So a lot of stuff. Well, thanks for coming on. We got the events starting. I'll let you go. Thanks for sharing your story. >> Thanks for having me. >> Well, what's next for you? What's next? >> Next is, I'm going to I'm going to build the word processor of the future and be the future of writing. >> Okay. And thank you for coming out. >> There you go. I appreciate it. All right. This is theCube coverage here at the event. we'll be back with more after this break. (upbeat music)

Published Date : Aug 3 2022

SUMMARY :

has an invitation for the VIP gala. You hired some people to So how to get to the top of Google. and it generates text for you. our blog post for us? the crypto-con in Monaco. of this interview, yeah. I love the story. and have it formulate the best things. I have to take a backseat So the funding options So as you may have heard, crypto's down, I have a lot of the So we're making money. But it's a good place to not be desperate. and to my team, my a friend and it's a monthly, so we're So I got to ask. What's been the challenge. and you got to get milestones. Self-funding is the A-1 player. And so you have to deal with that. Oh my God, that is... So it's choosing the and how brilliant you are, I feel like the world's So experiences define you. And I think one of the And when you do that, I'll just tell you. And I think that's a lesson So a lot of stuff. and be the future of writing. here at the event.

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Eric Foellmer, Boston Dynamics | Amazon re:MARS 2022


 

(upbeat music) >> Okay, welcome back everyone. The cube coverage of AWS re:Mars, 2022. I'm John Furrier, host of theCUBE. We got Eric Foellmer, vice president of marketing at Boston Dynamics. Famous for Spot. We all know, we've seen the videos, zillion views. Mega views all over the internet. The dog robotics, it's famous. Rolls over, bounces up and down. I mean, how many TikTok videos are out there? Probably a ton. >> Oh, Spot is- Spot is world famous (John laughs) at this point, right? So it's the dance videos, and all the application videos that we have out there. Spot is become has become world famous. >> Eric, thanks for joining us on theCUBE here at re:Mars. This show really is back. There was still a pandemic hiatus there. But it's not a part of the re's. It's re Mars, reinforcement of security, and then reinvent the flagship show for AWS. But this show is different. It brings together a lot of disciplines. But it's converging in on what we see as the next general- Industrial space is a big poster child for that. Obviously in space, it's highly industrial, highly secure. Machine learning's powering all the devices. You guys have been in this, I mean a leader, in a robotics area. What's this show about? I mean, what's really happening here. What if you had to boil the essence of the top story of what's happening here? What would it be? >> So the way that I look at this show is it really is a convergence of innovation. Like this is really just the cutting edge of the innovation that's really happening throughout robotics, but throughout technology in general. And you know, part of this cultural shift will be to adopt these types of technologies in our everyday life. And I think if you ask any technology specialist here or any innovator here or entrepreneur. They'll tell you that they want their technologies to become ubiquitous in society, right? I mean, that's really what everyone is sort of driving towards from the perspective of- >> And we, and we got some company behind it. Look at this. >> Oh, there we go. >> All right. >> There's a (Eric laughs) There's one of our Spots. >> It's got one of those back there. All right so sorry to interrupt, got a little distracted by the beautiful thing there. >> So they're literally walking around and literally engulfing the show. So when I look at the show, that's what I see. >> Let's see the picture of- >> I see the future of technology. >> Get a camera on our photo bomb here going on. Get a photo bomb action. (Eric chuckles) It's just super exciting because it really, it humanizes, it makes you- Everyone loves dogs. And, you know, I mean, people have more empathy if you kicked Spot than, you know, a human. Because there's so much empathy for just the innovation. But let's get into the innovation because let's- The IOT tech scene has been slow. Cloud computing Amazon web services, the leader hyper scaler. They dominated the back office you know, data centers, all the servers, digital transformation. Now that's coming to the edge. Where robotics is now in play. Space, material handling, devices for helping people who are sick or in healthcare. >> Eric: Mhm. >> So a whole surge of revolutionary or transitionary technologies coming. What's your take on that? >> So I think, you know, data has become the driving force behind technology innovation. And so robotics are an enabler for the tech, for the data collection that is going to drive IOT and manufacturing 4.0 and other important edge related and, you know, futuristic technology innovations, right? So the driver of all of that is data. And so robots like Spot are collectors of data. And so instead of trying to retrofit a manufacturing plant, you know, with 30, 40, 50 year old equipment in some cases. With IOT sensors and, you know, fixed sensors throughout the network. We're bringing the sensors to the equipment in the form of an agile mobile robot that brings that technology forward and is able to assess. >> So explain that a little slower for me. So the one method would be retrofitting all the devices. Or the hardware currently installed. >> Eric: Sure. >> Versus almost like having a mobile unit next to it, kind of thing. Or- >> Right. So, I mean, if you're looking at antiquated equipment which is what most, you know, manufacturing plants are running off of. It's not really practical or feasible to update them with fixed sensors. So sensors that specifically take measurements from that machine. So, we enable Spot with a variety of sensors from audio sensors to listen for audio anomalies. Thermal detectors, to look for thermal hotspots in equipment. Or visual detectors, where it's reading analog gauges, that sort of thing. So by doing that, we are bringing the sensors to the machines. >> Yeah. >> And to be able to walk anywhere where a human can walk throughout a manufacturing plant. To inspect the equipment, take that reading. And then most importantly upload that to the cloud, to the users >> It's a service dog. >> you can apply some- >> It's a service dog. >> It really is. And it serves data for the understanding of how that equipment is operated. >> This is big agility for the customer. Get that data, agile. Talk about the cost impact of that, just alone. What the alternative would be versus say, deploying that scenario. Because I'd imagine the time and cost would be huge. >> Well, if you think, you know, about how much manufacturing facilities put into the predictive maintenance and being able to forecast when their equipment needs maintenance. But also when pieces of equipment are going to fail. Unexpected downtime is one of the biggest money drains of any manufacturing facility. So the ability to be able to forecast and get some insight into when that equipment is starting to perform less than optimally and start to degrade. The ability to forecast that in advance is massive. >> Well I think you just win on just in retrofit cost alone, nevermind the downside scenarios of manufacturing problems. All right, let's zoom out. You guys have been pioneers for a long time. What's changed in your mind now versus just a few years ago. I mean, look at even 5, 10 years ago. The evolution, cost and capability. What's changed the most? >> Yeah, I think the accessibility of robots has really changed. And we're just on the beginning stages of that evolution. We really are. We're at the precipice right now of robots becoming much more ubiquitous in people's lives. And that's really our foundation as a company. Is we really want to bring robots to mankind for the good of humanity, right? So if you think about, you know, taking humans out of harm's way. Or, you know, putting robots in situations where, you know, where it's assessing damage for a building, for example, right. You're taking people out of the, out of that harm's way and really standardizing what you're able to do with technology. So we see it as really being on the very entry point of having not only robotics, but technology in general to become much more prevalent in people's lives. >> Yeah. >> I mean, what, you know. 30 years ago, did you ever think that you would have the power of a supercomputer in your pocket to, you know. Which also happens to allow you to talk to people but it is so much more, right? So the power of a cell phone has changed our lives forever. >> A computer that happens to be a phone. You know, it's like, come on. >> Right. >> What's going on with that. >> That's almost secondary at this point. (John laughing) It really is. So, I mean, when you think about that transition from you know, I think we're at the cusp of that right now. We're at the beginning stages of it. And it's really, it's an exciting time to be part of this. An entire industry. >> Before I get your views on integration and scale. Because that's the next level. We're seeing a lot of action and growth. Talk about the use case. You've mentioned a few of them, take people out of harms way. What have you guys seen as use cases within Boston Dynamics customer base and or your partner network around use cases. That either you knew would happen, or ones that might have surprised you? >> Yeah. One of the biggest use cases for us right now is what we're demonstrating here at re:MARS. Which is the ability to walk through a manufacturing plant and collect data off various pieces of equipment. Whether that's pump or a gauge or seeing whether a valve is open or closed. These are all simple mundane tasks that people are, that manufacturers are having difficulty finding people to be able to perform. So the ability for a robot to go over and do that and standardize that process is really valuable. As companies are trying to collect that data in a consistent way. So that's one of the most prevalent use cases that we're seeing right now. And certainly also in cases where, you know, Spot is going into buildings that have been structurally damaged. Or, you know, assessing situations where we don't want people to be in harm's way. >> John: Yeah. >> You know- >> Bomb scares, or any kind of situation with police or, you know, threatening or danger situations. >> Sure. And fire departments as well. I mean, fire departments are becoming a huge, you know, a huge user of the robots themselves. Fire department in New York recently just adopted some of our robots as well. For that purpose, for search and rescue applications. >> Yeah. Go in, go see what's in there. See what's around the corner. It gives a very tactical edge capability for say the firefighter or law enforcement. I see that- I see the military applications must be really insane. >> Sure. From a search and rescue perspective. Absolutely. I mean, Spot helps you put eyes on situations that will allow a human to be operating at a safe distance. So it's really a great value for protecting human life and making sure that people stay out of harm's way. >> Well Eric, I really appreciate you coming on theCUBE and sharing your insight. One other question I'd like to ask if you don't mind is, you know. The one of the things I see next to your booth is the university piece. And then you see the Amazon, you know, material management. I don't know what to call it, but it's pretty impressive. And then I saw some of the demos on the keynotes. Looking at the scale of synthetic data. Just it's mind blowing what's going on in manufacturing. Amazon is pretty state of the art. I'm sure there are a customer of yours already. But they look complex these manufacturing sites. I mean, it looks like a maze. So how do you... I mean, I could see the consequences of something breaking, to be catastrophic. Because it's almost like, it's so integrated. Is this where you guys see success and how do these manufacturers deal with this? What's the... Is it like one big OS? >> Yeah, so the robots, because the robots are able to act independently. They can traverse difficult terrain and collect data on their own. And then, you know, what happens to that data afterwards is really up to the manufacturing. It can be delivered from the cloud and you can, it can be delivered via the edge. You know, edge devices and really that's where some of the exciting work is being done right now. Because that's where data can scale. And that's where robot deployments can scale as well, right? So you've got instead of a single robot. Now you have an operator deploying multiple robots. Monitoring, controlling, and assessing the data from multiple robots throughout a facility. And it really helps to scale that investment. >> All right, final question for you. This is personal question. Okay, I know- Saw your booth over there. And you have a lot of fan base. Spot's got a huge fan base. What are some of the crazy things that these nerd fans do? I mean, everyone get selfies with the Spot. They want to- I jump over the fence. I see, "Don't touch the dog." signs everywhere. The fan base is off the charts. What are the crazy things that people do to get either access to it. There's probably, been probably some theft, probably. Attempts, or selfies. Share some funny stories. >> I'll say this. My team is responsible for fielding a lot of the inbound inquiries that we get. Much of which comes from the entertainment industry. And as you've seen Spot has been featured in some really prominent, you know, entertainment pieces. You know, we were in that Super Bowl ad with Sam Adams. We were on Jimmy Kimmel, you know, during the Super Bowl time period. So the amount of entertainment... >> Value >> Pitches. Or the amount of entertainment value is immeasurable. But the number of pitches that we turn down is staggering. And when you can think about how most companies would probably pull out all the stops to take, you know. To be able to execute half the things that we're just, from a time perspective, from a resource perspective >> Okay, so Spots an A- not always able to do. >> So Spots an A-lister, I get that. Is there a B-lister now? I mean, that sounds like there's a market developing for Spot two. Is there a Spot two? The B player coming in? Understudy? >> So, I mean, Spot is always evolving. I think, you know, the physical- the physical statue that you see of Spot right now, Is where we're going to be in terms of the hardware, but we continue to move the robot forward. It becomes more and more advanced and more and more capable to do more and more things for people. So. >> All right. Well, we'll roll some B roll on this, on theCUBE. Thanks for coming on theCUBE. Really appreciate it. Boston Dynamics here in theCUBE, famous for Spot. And then here, the show packed here in re:MARS featuring, you know, robotics. It's a big feature hall. It's a set piece here in the show floor. And of course theCUBE's covering it. Thanks for watching. More coverage. I'm John Furrier, your host. After the short break. (upbeat music)

Published Date : Jun 23 2022

SUMMARY :

I mean, how many TikTok So it's the dance videos, of the top story of what's happening here? of the innovation that's really happening And we, and we got There's a (Eric laughs) by the beautiful thing there. and literally engulfing the show. I see the future for just the innovation. So a whole surge of revolutionary So the driver of all of that is data. So the one method would be retrofitting next to it, kind of thing. which is what most, you know, To inspect the equipment, And it serves data for the understanding This is big agility for the customer. So the ability to be able to forecast What's changed the most? on the very entry point So the power of a cell phone A computer that happens to be a phone. We're at the beginning stages of it. Because that's the next level. Which is the ability to walk with police or, you know, the robots themselves. I see the military applications I mean, Spot helps you I mean, I could see the consequences and assessing the data The fan base is off the charts. a lot of the inbound to take, you know. not always able to do. I mean, that sounds like I think, you know, the physical- It's a set piece here in the show floor.

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Dave Russell, Veeam | VeeamON 2022


 

>>The cube is back at Vemo 2022. I was happy to be live. Dave ante, Dave Nicholson and Dave Russell three Daves. Dave is the vice president of enterprise strategy at Veeam. Great to see you again, my friend. Thanks for coming >>On. Uh, it's always a pleasure. And Dave, I can remember your name. I can't remember >>Your name as well. <laugh> so wow. How many years has it been now? I mean, add on COVID is four years now. >>Yeah, well, three, three solid three. Yeah, Fallon blue. Uh, last year, Miami little secret. We're gonna go there again next year. >>Okay, so you joined Veeam >>Three. Oh, me four. Yeah, >>Yeah, yeah. Four is four, right? Okay. Wow. >>Um, time flies, man. >>Interesting. What your background, former analyst analyze your time at Veeam and the market and the changes in the customer base. What, what have you seen? What are the big takeaways? Learnings? >>Yeah. You know, what's amazing to me is we've done a lot more research now, ourselves, right? So things that we intuitively thought, things that we experienced by talking to customers, and of course our partners, we can now actually prove. So what I love is that we take the exact same product and we go down market up market. We go across geographies, we go different verticals and we can sell that same exact product to all constituencies because the differences between them are not that great. If it was the three Dave company or the 3m company, what you're looking for is reliable recovery, ease of use those things just transcend. And I think there used to be a time when we thought enterprise means something very different than mid-market than does SMB. And certainly your go to market plans are that way, but not the product plans. >>So the ransomware study, we had Jay buff on earlier, we were talking about it and we just barely scratched the surface. But how were you able to get people to converse with you in such detail? Was it, are you using phone surveys? Are you, are, are you doing web surveys? Are you doing a combination? Deep >>Dives? Yeah. So it was web based and it was anonymous on both ends, meaning no one knew VE was asking the questions. And also we made the promise that none of your data is ever gonna get out, not even to say a large petroleum company, right. Everything is completely anonymized. And we were able to screen people out very effectively, a lot of screener questions to make sure we're dealing with the right person. And then we do some data integrity checking on the back end. But it's amazing if you give people an opportunity, they're actually very willing to tell you about their experience as long as there's no sort of ramification about putting the company or themselves at risk. >>So when I was at IDC, we did a lot of surveys, tons of surveys. I'm sure you did a lot of surveys at Gartner. And we would look at vendor surveys like, eh, well, this kind of the questions are rigged or it's really self-serving. I don't sense that in your surveys, you you've, you've always, you've still got that independent analyst gene. Is that, I mean, it's gotta be, is it by design? Is it just happen that ransomware is a topic that just sort of lends itself to that. Maybe you could talk about your philosophy there. >>Yeah. Well, two part answer really, because it's definitely by design. We, we really want the information. I mean, we're using this to fuel or inform our understanding of the market, what we should build next, what we should message next. So we really want the right data. So we gotta ask the right questions. So Jason, our colleague, Julie, myself, we work really hard on trying to make sure we're not leading the witness down a certain path. We're not trying to prove our own thesis. We're trying to understand what the market really is thinking. And when it comes to ransomware, we wanna know what we don't know, meaning we found a few surprises along the way. A lot of it was confirmational, but that's okay too. As long as you can back that up, cuz then it's not just Avenger's opinion. Of course, a vendor that says that they can help you do something has data that says, they think you uni have a problem with this, but now we can actually point to it and have a more interesting kind of partnership conversation about if you are like 1000 other enterprises globally, this may be what you're seeing. >>And there are no wrong answers there. Meaning even if they say that is absolutely not what we're seeing. Great. Let's have that conversation that's specific to you. But if you're not sure where to start, we've got a whole pool of data to help guide that conversation. >>Yeah. Shout out to Julie Webb does a great job. She's a real pro and yes. And, and really makes sure that, like you say, you want the real, real answers. So what were some of the things that you were excited about or to learn about? Um, in the survey again, we, we touched just barely touched on it in 15 minutes with Jason, but what, what's your take? Well, >>Two that I'd love to point out. I mean, unfortunately Jason probably mentioned this one, you know, only 19% answered when we said, did you pay the ransom? And only 19% said, no, I didn't pay the ransom. And I was a hundred percent successful in my recovery. You know, we're in Vegas, one out of five odds. That's not good. Right? That's a go out of business spot. That's not the kind of 80 20 you want to hear. That's not exactly exactly. Now more concerning to me is 5% said no ransom was asked for. And you know, my phrase on that is that's, that's an arson event. It's not an extortion event. Right. I just came to do harm. That's really troubling. Now there's a huge percentage there that said we paid the ransom about 24% said we paid the ransom and we still couldn't restore the data. So if you add up that 24 in that five, that 29%, that was really scary to me. >>Yeah. So you had the 19%. Okay. That's scary enough. But then you had the wrecking ball, right? Ah, we're just gonna, it's like the mayhem commercial. Yes. Yeah. See ya. Right. Okay. So <laugh>, that's, that's wild. So we've heard a lot about, um, ransomware. The thing that interests me is, and we've had a big dose of ransomware as analysts in these last, you know, 12, 18 months and more. But, but, but it's really escalated. Yeah. Seems like, and by the way, you're sharing this data, which is amazing. Right. So I actually want to dig in and steal some of the, the data. I think that's cool. Right? Definitely. You gave us a URL this morning. Um, so, but you, your philosophy is to share the data. So everybody sees it, your customers, your prospects, your competitors, but your philosophy is to why, why are you sharing that data? Why don't you just keep it to yourself and do it quietly with customers? >>Yeah. You know, I think this is such a significant event. No one vendor's gonna solve it all. Realistically, we may be tied for number one in market share statistically speaking, but we have 12.5%. Right. So we're not gonna be able to do greater good if we're keeping that to ourselves. And it's really a notion of this awareness level, just having the conversation and having that more open, even if it's not us, I think is gonna be beneficial. It speaks to the value of backup and why backup is still relevant this day and age. >>I dunno if you're comfortable answering this, but I'll ask anyway, when you were a Gartner analyst, did you get asked about ransomware a lot? >>No. >>Very rarely or never. >>Almost never. Yeah. And that was four years ago. Literally. Like it >>Was a thing back then, right? I mean it wasn't of course prominent, but it was, it was, I guess it wasn't that >>20 16, 20 17, you know, it's, it's interesting because at a couple of levels you have the, um, the willingness of participants to share their stories, which is a classic example of people coming together to fight a common fo. Yeah, yeah. Right. In the best of times, that's what happens. And now you're sharing that information out. One of the reasons why some would argue we've gotten to this place is because day zero exploits have been stockpiled and they haven't been shared. So you go to, you know, you go, you go through the lineage that gets you to not pet cat as an example. Yes. And where did it come from? Hey, it was something that we knew about. Uh, but we didn't share it. Right. We waited until it happened because maybe we thought we could use it in, in some way. It's, it's an, it's an interesting philosophical question. I, I don't know. I don't know. I don't know where, if that's, uh, the third, it's the one, the third rail you don't want to touch, but basically we're, we are, I guess we're just left to sort through whatever, whatever we have to sort through in that regard. But it is interesting left to industry's own devices. It's sharing an openness. >>Yeah. You know, it's, I almost think it's like open source code. Right? I mean, the promise there is together, we can all do something better. And I think that's true with this ransomware research and the rest of the research we do too. We we've freely put it out there. I mean, you can download the link, no problem. Right. And go see the report. We're fine with that. You know, we think it actually is very beneficial. I remember a long time ago, it was actually Sam Adams that said, uh, you know, Hey, there's a lot of craft brewers out there now, you know, is, are you as a craft brewery now? Successful? Are you worried about that? No. We want every craft brewery to be successful because it creates a better awareness. Well, an availability market, it's still Boston reference. >>What did another Boston reference? Yes. Thank you, >>Boston. And what <laugh>. >>Yeah. So, you know, I, I, I feel like we've seen these milestone, you know, watershed events in, in security. I mean, stucks net sort of yeah. Informed us what's possible with nation states, even though it's highly likely that us and Israel were, were behind that, uh, the, the solar winds hack people are still worried about. Yes. Okay. What's next. Even, even something now. And so everybody's now on high alert even, I don't know how close you guys followed it, but the, the, uh, the Okta, uh, uh, breach, which was a fairly benign incident. And technically it was, was very, very limited and very narrow in scope. But CISOs that I talked to were like, we are really paranoid that there's another shoe to drop. What do we do? So the, the awareness is way, way off the charts. It begs the question. What's next. Can you, can you envision, can you stay ahead? It's so hard to stay ahead of the bad guys, but, but how are you thinking about that? What this isn't the end of it from your standpoint? >>No, it's not. And unfortunately it's because there's money to be made, right? And the barrier to entry is relatively low. It's like hiring a Hitman. You know, you don't actually have to even carry out the bad act yourself and get your own hands dirty. And so it's not gonna end, but it it's really security is everyone's responsibility. Veeam is not really a full time security company, but we play a role in that whole ecosystem. And even if you're not in the data center as an employee of a company, you have a role to play in security. You know, don't click that link, lock the door behind you, that type of thing. So how do you stay ahead of it? I think you just continually keep putting a focus on it. It's like performance. You're never gonna be done. There's always something to tune and to work on, but that can be overwhelming. So the positive I try to tell someone is to your point, Dave, look, a lot of these vulnerabilities were known for quite some time. If you were just current on your patch levels, this could have been prevented, right? You could have closed that window. So the thing that I often say is if you can't do everything and probably none of us can do something and then repeat, do it again, try to get a little bit better every period of time. Whether that's every day, every quarter, what case may be, do what you can. >>Yeah. So ransomware obviously very lucrative. So your job is to increase the denominator. So the ROI is lower, right? And that's a, that's a constant game, right? >>Absolutely. It is a crime of opportunity. It's indiscriminate. And oftentimes non-targeted now there are state sponsored events to your point, but largely it's like the fishermen casting the net out into the ocean. No idea with certainty, what's gonna come back. So I'm just gonna keep trying and trying and trying our goal is to basically you wanna be the house on the neighborhood that looks the least inviting. >>We've talked about this. I mean, any, anyone can be a, a, a ransomware as to go in the dark web, ransomware's a service. Oh, I gotta, I can put a stick into a server and a way I go and I get some Bitcoin right. For it. So, so that's, so, so organizations really have to take this seriously. I think they are. Um, well you tell me, I mean, in your discussions with, with, with customers, >>It's changed. Yeah. You know, I would say 18 months ago, there was a subset of customers out there saying vendors, crying Wolf, you know, you're trying to scare us into making a purchase decision or move off of something that we're working with. Now. I think that's almost inverted. Now what we see is people are saying, look, my boss or my boss's boss's boss, and the security team are knocking on my door asking, what are we gonna do? What's our response? You know, how prepared are we? What kind of things do we have in place? What does our backup practice do to support ransomware? The good news though, going back to the awareness side is I feel like we're evangelizing this a little less as an industry. Meaning the security team is well aware of the role that proper backup and availability can play. That was not true. A handful of years ago. >>Well, that's the other thing too, is that your study showed the closer the practitioner was to the problem. Yes. The more problems there were, that's an awareness thing. Yes. That's not a, that's not, oh, just those guys had visibility. I wanna ask you cuz you've You understand from an application view, right. There's only so much Veeam can do. Um, and then the customer has to have processes in place that go beyond just the, the backup and recovery technology. So, so from an application perspective, what are you advising customers where you leave off and they really have to take over this notion of shared responsibility is really extending beyond cloud security. >>Yeah. Uh, the model that I like is interestingly enough, what we see with Caston in the Kubernetes space. Mm-hmm <affirmative> is there, we're selling into two different constituencies, potentially. It's the infrastructure team that they're worried about disaster recovery. They're worried about backup, but it's the app dev DevOps team. Hey, we're worried about creating the application. So we're spending a lot of focus with the casting group to say, great, go after that shift, left crowd, talk to them about a data availability, disaster recovery, by the way you get data movement or migration for free with that. So migration, maybe what you're first interested in on day one. But by doing that, by having this kind of capability, you're actually protecting yourself from day two issues as well. >>Yeah. So Let's see. Um, what haven't we hit on in this study? There was so much data in there. Uh, is that URL, is that some, a private thing that you guys shared >>Or is it no. Absolutely. >>Can, can you share the >>URL? Yeah, absolutely. It's V E E so V two E period am so V with the period between the E and the a forward slash RW 22. So ransomware 22 is the research project. >>So go there, you download the zip file, you get all the graphics. Um, I I'm gonna dig into it, uh, maybe as early as this, this Friday or this weekend, like to sort of expose that, uh it's you guys obviously want this, I think you're right. It's it's it's awareness needs to go up to solve this problem. You know, I don't know if it's ever solvable, but the only approach is to collaborate. Right. So I, I dunno if you're gonna collaborate with your head-to-head competitors, but you're certainly happy to share the data I've seen Dave, some competitors have pivoted from data protection or even data management to security. Yes. I see. I wonder if I could run a premise by, I see that as an adjacency to your business, but not sort of throwing you into the security bucket. What are your thoughts on that? >>Yeah. You know, certainly respect everything other competitors are doing, you know, and some are getting very, you know, making some good noise and getting picked up on that. However, we're unapologetically a backup company. Mm-hmm, <affirmative>, we're a backup company. First. We're worried about security. We're worried about, you know, data reuse and supporting shift, left types of things, but we're not gonna apologize for being in the backup availability business, not, not at all. However, there's a role that we can play. Having said that that we're a role. We're a component. If you're in the secondary storage market, like backup or archiving. And you're trying to imply that you're going to help prevent or even head off issues on the primary storage side. That might be a little bit of a stretch. Now, hopefully that can happen that we can go get better as an industry on that. >>But fundamentally we're about ensuring that you're recoverable with reliability and speed when you need it. Whether we're no matter what the issue is, because we like to say ransomware is a disaster. Unfortunately there's other kind of disasters that happen as well. Power failures still happen. Natural issues still occur, et cetera. So all these things have to be accounted for. You know, one of our survey, um, data points basically said all the things that take down a server that you didn't plan on. It's basically humans at the top human error, someone accidentally deleted something and then malicious humans, someone actually came after you, but there's a dozen other things that happened too. So you've gotta prepare for all of that. So I guess what I would end up with saying is you remember back in the centralized data centers, especially the mainframe days, people would say, we're worried about the smoking hole or the smoking crater event. Yeah. Yeah. The probability of a plane crashing into your data bunker was relatively low. That was when it got all the discussion though, what was happening every single day is somebody accidentally deleted a file. And so you need to account on both ends of the spectrum. So we don't wanna over rotate. And we also, we don't want to signal to 450,000 beam customers around the world that we're abandoning you that were not about backup. That's still our core >>Effort. No, it's pretty straightforward. You're just telling people to back up in a way that gives them a certain amount of mitigation yes. Or protection in the event that something happens. And no, I don't remember anything about mainframe. He does though though, much older than me >>EF SMS. So I even know what it stands for. Count key data don't even get me started. So, and, and it wasn't thank you for that answer. I didn't mean to sort of a set up question, but it was more of a strategy question and I wish wish I could put on your analyst hat because I, I feel, I'll just say it. I feel as though it's a move to try to get a tailwind. Maybe it's a valuation play. I don't know. But I, I, it resonated with me three years ago when everybody was talking data management and nobody knew what that meant. Data management. I'm like Oracle. >>Right. >>And now it's starting to become a little bit more clear. Um, but Danny Allen stuff and said, it's all about the backup. I think that was one of his keynote messages. So that really resonated with me cuz he said, yeah, it starts with backup and recovery. And that's what, what matters most to these customers. So really was a strategy question. Now maybe it does have valuation impact. Maybe there's a big market there that can be consolidated. You know, uh, we, this morning in the analyst session, we heard about your new CEO's objectives of, you know, grabbing more market share. So, and that's, that's an adjacency. So it's gonna be interesting to see how that plays out far too many security vendors. As, as we know, the backup and recovery space is getting more crowded and that is maybe causing people to sort of shift. I don't know, whatever right. Or left, I guess, shift. Right. I'm not sure, but um, it's gonna be really interesting to watch because this has now become a really hot space after, you know, it's been some really interesting momentum in certain pockets, but now it's everywhere it's coming ubiquitous. So I'll give you the last word Dave on, uh, day one, VEON 20, 22. >>Yeah. Well boy, so many things I could say to kind of land the plane on, but we're just glad to be back in person. It's been three years since we've had a live event in those three years, we've gone from 300,000 customers to 450,000 customers. The release cadence, even in the pandemic has been the greatest in the company's history in 2020, 2021, there's only about three dozen software only companies that have hit a billion dollars and we're one of them. And that, you know, that mission is why hasn't changed and that's why we wanna stay consistent. One of the things Danny always likes to say is, you know, we keep telling the same story because we're not wanting to deviate off of that story and there's more work to be done. And to honors point, you know, Hey, if you have ambitious goals, you're gonna have to look at spreading your wings out a little bit wider, but we're never gonna abandon being a backup. Well, >>It's, it's clear to me, Dave on was not brought in to keep you steady at a billion. I think he's got a site set on five and then who knows what's next? Dave Russell, thanks so much for coming back in the cube. Great to >>See always a pleasure. Thank you. >>All right. That's a wrap for Dave one. Dave ante and Dave Nicholson will be backed tomorrow with a full day of coverage. Check out Silicon angle.com for all the news, uh, youtube.com/silicon angle. You can get these videos. They're all, you know, flying up Wiki bond.com for some of the research in this space. We'll see you tomorrow.

Published Date : May 18 2022

SUMMARY :

Great to see you again, my friend. And Dave, I can remember your name. I mean, We're gonna go there again next year. Yeah, Four is four, right? What, what have you seen? And I think there used to be a time when we thought enterprise means something very different than mid-market So the ransomware study, we had Jay buff on earlier, we were talking about it and we just barely scratched a lot of screener questions to make sure we're dealing with the right person. Maybe you could talk about your philosophy there. kind of partnership conversation about if you are like 1000 other enterprises globally, Let's have that conversation that's specific to you. So what were some of the things that you were excited about or to learn about? That's not the kind of 80 20 you want to hear. ransomware as analysts in these last, you know, 12, 18 months So we're not gonna be able to do greater good if Like it I don't know where, if that's, uh, the third, it's the one, the third rail you don't want to touch, I mean, you can download the link, What did another Boston reference? And what <laugh>. And so everybody's now on high alert even, I don't know how close you guys followed it, but the, the, So the thing that I often say is if you can't do everything and probably none of us can do So the ROI is lower, right? And oftentimes non-targeted now there are state sponsored events to your point, but largely it's I mean, any, anyone can be a, a, a ransomware as to go in the dark customers out there saying vendors, crying Wolf, you know, you're trying to scare us into making a purchase decision or I wanna ask you cuz you've You availability, disaster recovery, by the way you get data movement or migration for free a private thing that you guys shared So ransomware 22 is the research project. like to sort of expose that, uh it's you guys obviously want this, I think you're right. and some are getting very, you know, making some good noise and getting picked up on that. So I guess what I would end up with saying is you remember back Or protection in the event that I didn't mean to sort of a set up question, but it was more of a strategy question and I wish wish So I'll give you the last word Dave One of the things Danny always likes to say is, you know, we keep telling the same story because we're It's, it's clear to me, Dave on was not brought in to keep you steady at a billion. See always a pleasure. They're all, you know,

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Breaking Analysis: What to Expect in Cloud 2022 & Beyond


 

from the cube studios in palo alto in boston bringing you data-driven insights from the cube and etr this is breaking analysis with dave vellante you know we've often said that the next 10 years in cloud computing won't be like the last ten cloud has firmly planted its footprint on the other side of the chasm with the momentum of the entire multi-trillion dollar tech business behind it both sellers and buyers are leaning in by adopting cloud technologies and many are building their own value layers on top of cloud in the coming years we expect innovation will continue to coalesce around the three big u.s clouds plus alibaba in apac with the ecosystem building value on top of the hardware saw tooling provided by the hyperscalers now importantly we don't see this as a race to the bottom rather our expectation is that the large public cloud players will continue to take cost out of their platforms through innovation automation and integration while other cloud providers and the ecosystem including traditional companies that buy it mine opportunities in their respective markets as matt baker of dell is fond of saying this is not a zero sum game welcome to this week's wikibon cube insights powered by etr in this breaking analysis we'll update you on our latest projections in the cloud market we'll share some new etr survey data with some surprising nuggets and drill into this the important cloud database landscape first we want to take a look at what people are talking about in cloud and what's been in the recent news with the exception of alibaba all the large cloud players have reported earnings google continues to focus on growth at the expense of its profitability google reported that it's cloud business which includes applications like google workspace grew 45 percent to five and a half billion dollars but it had an operating loss of 890 billion now since thomas curion joined google to run its cloud business google has increased head count in its cloud business from 25 000 25 000 people now it's up to 40 000 in an effort to catch up to the two leaders but playing catch up is expensive now to put this into perspective let's go back to aws's revenue in q1 2018 when the company did 5.4 billion so almost exactly the same size as google's current total cloud business and aws is growing faster at the time at 49 don't forget google includes in its cloud numbers a big chunk of high margin software aws at the time had an operating profit of 1.4 billion that quarter around 26 of its revenues so it was a highly profitable business about as profitable as cisco's overall business which again is a great business this is what happens when you're number three and didn't get your head out of your ads fast enough now in fairness google still gets high marks on the quality of its technology according to corey quinn of the duck bill group amazon and google cloud are what he called neck and neck with regard to reliability with microsoft azure trailing because of significant disruptions in the past these comments were made last week in a bloomberg article despite some recent high-profile outages on aws not surprisingly a microsoft spokesperson said that the company's cloud offers industry-leading reliability and that gives customers payment credits after some outages thank you turning to microsoft and cloud news microsoft's overall cloud business surpassed 22 billion in the december quarter up 32 percent year on year like google microsoft includes application software and sas offerings in its cloud numbers and gives little nuggets of guidance on its azure infrastructure as a service business by the way we estimate that azure comprises about 45 percent of microsoft's overall cloud business which we think hit a 40 billion run rate last quarter microsoft guided in its earning call that recent declines in the azure growth rates will reverse in q1 and that implies sequential growth for azure and finally it was announced that the ftc not the doj will review microsoft's announced 75 billion acquisition of activision blizzard it appears ftc chair lena khan wants to take this one on herself she of course has been very outspoken about the power of big tech companies and in recent a recent cnbc interview suggested that the u.s government's actions were a meaningful contributor back then to curbing microsoft's power in the 90s i personally found that dubious just ask netscape wordperfect novell lotus and spc the maker of harvard presentation graphics how effective the government was in curbing microsoft power generally my take is that the u s government has had a dismal record regulating tech companies most notably ibm and microsoft and it was market forces company hubris complacency and self-inflicted wounds not government intervention these were far more effective than the government now of course if companies are breaking the law they should be punished but the u.s government hasn't been very productive in its actions and the unintended consequences of regulation could be detrimental to the u.s competitiveness in the race with china but i digress lastly in the news amazon announced earnings thursday and the company's value increased by 191 billion dollars on friday that's a record valuation gain for u.s stocks aws amazon's profit engine grew 40 percent year on year for the quarter it closed the year at 62 billion dollars in revenue and at a 71 billion dollar revenue run rate aws is now larger than ibm which without kindrel is at a 67 billion dollar run rate just for context ibm's revenue in 2011 was 107 billion dollars now there's a conversation going on in the media and social that in order to continue this growth and compete with microsoft that aws has to get into the sas business and offer applications we don't think that's the right strategy for amp from for amazon in the near future rather we see them enabling developers to compete in that business finally amazon disclosed that 48 of its top 50 customers are using graviton 2 instances why is this important because aws is well ahead of the competition in custom silicon chips is and is on a price performance curve that is far better than alternatives especially those based on x86 this is one of the reasons why we think this business is not a race to the bottom aws is being followed by google microsoft and alibaba in terms of developing custom silicon and will continue to drive down their internal cost structures and deliver price performance equal to or better than the historical moore's law curves so that's the recent news for the big u.s cloud providers let's now take a look at how the year ended for the big four hyperscalers and look ahead to next year here's a table we've shown this view before it shows the revenue estimates for worldwide is and paths generated by aws microsoft alibaba and google now remember amazon and alibaba they share clean eye ass figures whereas microsoft and alphabet only give us these nuggets that we have to interpret and we correlate those tidbits with other data that we gather we're one of the few outlets that actually attempts to make these apples to apples comparisons there's a company called synergy research there's another firm that does this but i really can't map to their numbers their gcp figures look far too high and azure appears somewhat overestimated and they do include other stuff like hosted private cloud services but it's another data point that you can use okay back to the table we've slightly adjusted our gcp figures down based on interpreting some of alphabet's statements and other survey data only alibaba has yet to announce earnings so we'll stick to a 2021 market size of about 120 billion dollars that's a 41 growth rate relative to 2020 and we expect that figure to increase by 38 percent to 166 billion in 2022 now we'll discuss this a bit later but these four companies have created an opportunity for the ecosystem to build what we're calling super clouds on top of this infrastructure and we're seeing it happen it was increasingly obvious at aws re invent last year and we feel it will pick up momentum in the coming months and years a little bit more on that later now here's a graphical view of the quarterly revenue shares for these four companies notice that aws has reversed its share erosion and is trending up slightly aws has accelerated its growth rate four quarters in a row now it accounted for 52 percent of the big four hyperscaler revenue last year and that figure was nearly 54 in the fourth quarter azure finished the year with 32 percent of the hyper scale revenue in 2021 which dropped to 30 percent in q4 and you can see gcp and alibaba they're neck and neck fighting for the bronze medal by the way in our recent 2022 predictions post we said google cloud platform would surpass alibaba this year but given the recent trimming of our numbers google's got some work to do for that prediction to be correct okay just to put a bow on the wikibon market data let's look at the quarterly growth rates and you'll see the compression trends there this data tracks quarterly revenue growth rates back to 20 q1 2019 and you can see the steady downward trajectory and the reversal that aws experienced in q1 of last year now remember microsoft guided for sequential growth and azure so that orange line should trend back up and given gcp's much smaller and big go to market investments that we talked about we'd like to see an acceleration there as well the thing about aws is just remarkable that it's able to accelerate growth at a 71 billion run rate business and alibaba you know is a bit more opaque and likely still reeling from the crackdown of the chinese government we're admittedly not as close to the china market but we'll continue to watch from afar as that steep decline in growth rate is somewhat of a concern okay let's get into the survey data from etr and to do so we're going to take some time series views on some of the select cloud platforms that are showing spending momentum in the etr data set you know etr uses a metric we talked about this a lot called net score to measure that spending velocity of products and services netscore basically asks customers are you spending more less or the same on a platform and a vendor and then it subtracts the lesses from the moors and that yields a net score this chart shows net score for five cloud platforms going back to january 2020. note in the table that the table we've inserted inside that chart shows the net score and shared n the latter metric indicates the number of mentions in the data set and all the platforms we've listed here show strong presence in the survey that red dotted line at 40 percent that indicates spending is at an elevated level and you can see azure and aws and vmware cloud on aws as well as gcp are all nicely elevated and bounding off their october figures indicating continued cloud momentum overall but the big surprise in these figures is the steady climb and the steep bounce up from oracle which came in just under the 40 mark now one quarter is not necessarily a trend but going back to january 2020 the oracle peaks keep getting higher and higher so we definitely want to keep watching this now here's a look at some of the other cloud platforms in the etr survey the chart here shows the same time series and we've now brought in some of the big hybrid players notably vmware cloud which is vcf and other on-prem solutions red hat openstack which as we've reported in the past is still popular in telcos who want to build their own cloud we're also starting to see hpe with green lake and dell with apex show up more and ibm which years ago acquired soft layer which was really essentially a bare metal hosting company and over the years ibm cobbled together its own public cloud ibm is now racing after hybrid cloud using red hat openshift as the linchpin to that strategy now what this data tells us first of all these platforms they don't have the same presence in the data set as do the previous players vmware is the one possible exception but other than vmware these players don't have the spending velocity shown in the previous chart and most are below the red line hpe and dell are interesting and notable in that they're transitioning their early private cloud businesses to dell gr sorry hpe green lake and dell apex respectively and finally after years of kind of staring at their respective navels in in cloud and milking their legacy on-prem models they're finally building out cloud-like infrastructure for their customers they're leaning into cloud and marketing it in a more sensible and attractive fashion for customers so we would expect these figures are going to bounce around for a little while for those two as they settle into a groove and we'll watch that closely now ibm is in the process of a complete do-over arvin krishna inherited three generations of leadership with a professional services mindset now in the post gerschner gerstner era both sam palmisano and ginny rometty held on far too long to ibm's service heritage and protected the past from the future they missed the cloud opportunity and they forced the acquisition of red hat to position the company for the hybrid cloud remedy tried to shrink to grow but never got there krishna is moving faster and with the kindred spin is promising mid-single-digit growth which would be a welcome change ibm is a lot of work to do and we would expect its net score figures as well to bounce around as customers transition to the future all right let's take a look at all these different players in context these are all the clouds that we just talked about in a two-dimensional view the vertical axis is net score or spending momentum and the horizontal axis is market share or presence or pervasiveness in the data set a couple of call-outs that we'd like to make here first the data confirms what we've been saying what everybody's been saying aws and microsoft stand alone with a huge presence many tens of billions of dollars in revenue yet they are both well above the 40 line and show spending momentum and they're well ahead of gcp on both dimensions second vmware while much smaller is showing legitimate momentum which correlates to its public statements alibaba the alibaba in this survey really doesn't have enough sample to make hardcore conclusions um you can see hpe and dell and ibm you know similarly they got a little bit more presence in the data set but they clearly have some work to do what you're seeing there is their transitioning their legacy install bases oracle's the big surprise look what oracle was in the january survey and how they've shot up recently now we'll see if this this holds up let's posit some possibilities as to why it really starts with the fact that oracle is the king of mission critical apps now if you haven't seen video on twitter you have to check it out it's it's hilarious we're not going to run the video here but the link will be in our post but i'll give you the short version some really creative person they overlaid a data migration narrative on top of this one tooth guy who speaks in spanish gibberish but the setup is he's a pm he's a he's a a project manager at a bank and aws came into the bank this of course all hypothetical and said we can move all your apps to the cloud in 12 months and the guy says but wait we're running mission critical apps on exadata and aws says there's nothing special about exadata and he starts howling and slapping his knee and laughing and giggling and talking about the 23 year old senior engineer who says we're going to do this with microservices and he could tell he was he was 23 because he was wearing expensive sneakers and what a nightmare they encountered migrating their environment very very very funny video and anyone who's ever gone through a major migration of mission critical systems this is gonna hit home it's funny not funny the point is it's really painful to move off of oracle and oracle for all its haters and its faults is really the best environment for mission critical systems and customers know it so what's happening is oracle's building out the best cloud for oracle database and it has a lot of really profitable customers running on-prem that the company is migrating to oracle cloud infrastructure oci it's a safer bet than ripping it and putting it into somebody else's cloud that doesn't have all the specialized hardware and oracle knowledge because you can get the same integrated exadata hardware and software to run your database in the oracle cloud it's frankly an easier and much more logical migration path for a lot of customers and that's possibly what's happening here not to mention oracle jacks up the license price nearly doubles the license price if you run on other clouds so not only is oracle investing to optimize its cloud infrastructure it spends money on r d we've always talked about that really focused on mission critical applications but it's making it more cost effective by penalizing customers that run oracle elsewhere so this possibly explains why when the gartner magic quadrant for cloud databases comes out it's got oracle so well positioned you can see it there for yourself oracle's position is right there with aws and microsoft and ahead of google on the right-hand side is gartner's critical capabilities ratings for dbms and oracle leads in virtually all of the categories gartner track this is for operational dvms so it's kind of a narrow view it's like the red stack sweet spot now this graph it shows traditional transactions but gartner has oracle ahead of all vendors in stream processing operational intelligence real-time augmented transactions now you know gartner they're like old name framers and i say that lovingly so maybe they're a bit biased and they might be missing some of the emerging opportunities that for example like snowflake is pioneering but it's hard to deny that oracle for its business is making the right moves in cloud by optimizing for the red stack there's little question in our view when it comes to mission critical we think gartner's analysis is correct however there's this other really exciting landscape emerging in cloud data and we don't want it to be a blind spot snowflake calls it the data cloud jamactagani calls it data mesh others are using the term data fabric databricks calls it data lake house so so does oracle by the way and look the terminology is going to evolve and most of the action action that's happening is in the cloud quite frankly and this chart shows a select group of database and data warehouse companies and we've filtered the data for aws azure and gcp customers accounts so how are these accounts or companies that were showing how these vendors were showing doing in aws azure and gcp accounts and to make the cut you had to have a minimum of 50 mentions in the etr survey so unfortunately data bricks didn't make it just not enough presence in the data set quite quite yet but just to give you a sense snowflake is represented in this cut with 131 accounts aws 240 google 108 microsoft 407 huge [ __ ] 117 cloudera 52 just made the cut ibm 92 and oracle 208. again these are shared accounts filtered by customers running aws azure or gcp the chart shows a net score lime green is new ads forest green is spending more gray is flat spending the pink is spending less and the bright red is defection again you subtract the red from the green and you get net score and you can see that snowflake as we reported last week is tops in the data set with a net score in the 80s and virtually no red and even by the way single digit flat spend aws google and microsoft are all prominent in the data set as is [ __ ] and snowflake as i just mentioned and they're all elevated over the 40 mark cloudera yeah what can we say once they were a high flyer they're really not in the news anymore with anything compelling other than they just you know took the company private so maybe they can re-emerge at some point with a stronger story i hope so because as you can see they actually have some new additions and spending momentum in the green just a lot of customers holding steady and a bit too much red but they're in the positive territory at least with uh plus 17 percent unlike ibm and oracle and this is the flip side of the coin ibm they're knee-deep really chest deep in the middle of a major transformation we've said before arvind krishna's strategy and vision is at least achievable prune the portfolio i.e spin out kindrel sell watson health hold serve with the mainframe and deal with those product cycles shift the mix to software and use red hat to win the day in hybrid red hat is working for ibm's growing well into the double digits unfortunately it's not showing up in this chart with little database momentum in aws azure and gcp accounts zero new ads not enough acceleration and spending a big gray middle in nearly a quarter of the base in the red ibm's data and ai business only grew three percent this last quarter and the word database wasn't even mentioned once on ibm's earnings call this has to be a concern as you can see how important database is to aws microsoft google and the momentum it's giving companies like snowflake and [ __ ] and others which brings us to oracle with a net score of minus 12. so how do you square the momentum in oracle cloud spending and the strong ratings and databases from gartner with this picture good question and i would say the following first look at the profile people aren't adding oracle new a large portion of the base 25 is reducing spend by 6 or worse and there's a decent percentage of the base migrating off oracle with a big fat middle that's flat and this accounts for the poor net score overall but what etr doesn't track is how much is being spent rather it's an account based model and oracle is heavily weighted toward big spenders running mission critical applications and databases oracle's non-gaap operating margins are comparable to ibm's gross margins on a percentage basis so a very profitable company with a big license and maintenance in stall basin oracle has focused its r d investments into cloud erp database automation they've got vertical sas and they've got this integrated hardware and software story and this drives differentiation for the company but as you can see in this chart it has a legacy install base that is constantly trying to minimize its license costs okay here's a little bit of different view on the same data we expand the picture with the two dimensions of net score on the y-axis and market share or pervasiveness on the horizontal axis and the table insert is how the data gets plotted y and x respectively not much to add here other than to say the picture continues to look strong for those companies above the 40 line that are focused and their focus and have figured out a clear cloud strategy and aren't necessarily dealing with a big install base the exception of course is is microsoft and the ones below the line definitely have parts of their portfolio which have solid momentum but they're fighting the inertia of a large install base that moves very slowly again microsoft had the advantage of really azure and migrating those customers very quickly okay so let's wrap it up starting with the big three cloud players aws is accelerating and innovating great example is custom silicon with nitro and graviton and other chips that will help the company address concerns related to the race to the bottom it's not a race to zero aws we believe will let its developers go after the sas business and for the most part aws will offer solutions that address large vertical markets think call centers the edge remains a wild card for aws and all the cloud players really aws believes that in the fullness of time all workloads will run in the public cloud now it's hard for us to imagine the tesla autonomous vehicles running in the public cloud but maybe aws will redefine what it means by its cloud microsoft well they're everywhere and they're expanding further now into gaming and the metaverse when he became ceo in 2014 many people said that satya should ditch xbox just as an aside the joke among many oracle employees at the time was that safra katz would buy her kids and her nieces and her nephews and her kids friends everybody xbox game consoles for the holidays because microsoft lost money for everyone that they shipped well nadella has stuck with it and he sees an opportunity to expand through online gaming communities one of his first deals as ceo was minecraft now the acquisition of activision will make microsoft the world's number three gaming company by revenue behind only 10 cent and sony all this will be powered by azure and drive more compute storage ai and tooling now google for its part is battling to stay relevant in the conversation luckily it can afford the massive losses it endures in cloud because the company's advertising business is so profitable don't expect as many have speculated that google is going to bail on cloud that would be a huge mistake as the market is more than large enough for three players which brings us to the rest of the pack cloud ecosystems generally and aws specifically are exploding the idea of super cloud that is a layer of value that spans multiple clouds hides the underlying complexity and brings new value that the cloud players aren't delivering that's starting to bubble to the top and legacy players are staying close to their customers and fighting to keep them spending and it's working dell hpe cisco and smaller predominantly on-plan prem players like pure storage they continue to do pretty well they're just not as sexy as the big cloud players the real interesting activity it's really happening in the ecosystem of companies and firms within industries that are transforming to create their own digital businesses virtually all of them are running a portion of their offerings on the public cloud but often connecting to on-premises workloads and data think goldman sachs making that work and creating a great experience across all environments is a big opportunity and we're seeing it form right before our eyes don't miss it okay that's it for now thanks to my colleague stephanie chan who helped research this week's topics remember these episodes are all available as podcasts wherever you listen just search breaking analysis podcast check out etr's website at etr dot ai and also we publish a full report every week on wikibon.com and siliconangle.com you can get in touch with me email me at david.velante siliconangle.com you can dm me at divalante or comment on my linkedin post 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 [Music] you

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SUMMARY :

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Samuel Niemi, Dell Technologies | CUBE Conversation


 

(upbeat music) >> Okay, welcome to the special CUBE conversation. I'm John Furrier, host of theCUBE. We're here talking about the evolving capabilities of VCF on VxRail. VCF being VMware Cloud Foundation. as VxRail from Dell Technologies. Samuel Niemi is their Product Manager of VCF on VxRail. He's got the keys to the kingdom. He is going to give us the update on what's going on, obviously with all the major IT operational conversations going on with cloud native, how to get the best excellence out of the organization as we come through the pandemic, big stuff happening. Welcome to theCUBE. >> Thank you, happy to be here. >> In June, you guys announced some major updates that's coming on to VMware Cloud Foundation on VxRail that would allow customers to extend their capabilities and their ability to innovate in the landscape and with external storage. Can you take us through what's new what's the situation and tell us what's happening? >> Yeah, absolutely. So, first off if you're, for those who might be watching who are not familiar with VCF on VxRail, VxRail is our hyperconverged infrastructure system that allows for massive data centers scaling at, from node to node to node. VCF on VxRail specifically is the VMware SDDC software suite that allows us to create a private cloud with VxRail deployments. So instead of saying, I want to manage this cluster and this cluster, and this cluster VCF allows us to manage VxRail clusters and deployments at a big scale. So VCF on VxRail, we've gone from in the last two and a half years or so that we have been available as a product we've gone from nothing to tens of thousands of nodes deployed across the world. And it has been a rollercoaster of a ride. And we're just thrilled with the success that we've had so far. >> And what's been new since the release in June but what's new? >> Absolutely. So, one thing that we've realized from a VxRail perspective is that, as we grow and as our data center and enterprise scale customers continue to grow their VCF on the VxRail environments VCF on VxRail has to evolve as well. And in June we announced an ability for VCF on VxRail to consume external storage. Now, hyper-converged means no storage, networking, network virtualization I should say and your server all in one box. External storage gives us the ability to utilize your existing Dell EMC storage arrays and use that data centric kind of storage deployment with your existing or net new VCF on VxRail deployments. It's really exciting stuff. And we're really looking forward to be able to even better provide solutions for our customers at that big enterprise scale. >> So a lot of change happening scale is a big word here, right? We're seeing scale, modern applications looking for environment. You talk about hybrid private cloud. I mean, essentially cloud operations is private cloud if you will. I got to ask you on this big product that you have VCF on VxRail, what are the drivers behind making this option viable for customers, what are they looking for? Why are they consuming it this way? What are the key aspects of drive in this force? >> Absolutely. So, what we found is that with vSAN which has been wildly successful on the VxRail, it's fantastic for general purpose workloads. And we don't see that changing. What we see is an ability for our customers to leverage the extreme speed of our PowerStore T, our PowerMax and our Unity XT storage arrays so that you can get that sub millisecond latency that you're used to out of those storage arrays and have the same benefits in say another workload domain of your existing vSAN deployment. Now, my favorite example of a use case for that is when you have sub millisecond latency, that's something like a PowerMax can provide. Let's say you're standing at the gas pump. It's cold, I'm here in Minnesota it was three degrees here yesterday. When I'm standing at the gas pump, swipe my card. I don't want to wait and wait and wait for that database kit. Put my card to go through I want it now. PowerMax and our PowerStore T, unity XT with those crazy low latencies, they allow our VCF on VxRail customers to not have to wait at the pump. So when our enterprise customers have those things deployed with that crazy low latency for database hits, you're not standing at the pump. You're not waiting awkwardly at the grocery store for your card to go through. You really get that extreme speed that those big storage arrays can provide. >> Yeah, so the weather in Minnesota, and so my brother lives in that area too. He was complaining about it on the family text, but this is an edge case, whether you're swiping your credit card on the pump, this latency discussion, the edge is really a key conversation because that's what you're, you're going to get cold waiting, but still you could be, key data store for say some equipment in a manufacturing operation, or on a farm or somewhere. So again, this brings up the whole edge. >> True. >> That an area is that the driver, one of the drivers, or is it also just in general the performance? >> You know I would say it depends on what you need out of your storage array. If you need that performance at the edge, VCF can deploy remote clusters in a metro distance within 50 milliseconds. So you can have your center and you can have your edges, you can put storage arrays behind those edges. You can have that kind of, speed from place to place, to place to place, or you can use traditional vSAN storage. So it really comes down to what your storage use case is. Maybe you have a need of the data replication that PowerMax can provide from one site to the other, and that's your backup for your edges. Those kinds of things can all be utilized with VCF on VxRail and remote clusters at the edge. >> What a similar customer use case? Can you just walk me through some examples of customers that you have and what they're interested in, what kind of advantages they're seeing with the capability? >> Certainly. So we have a number of customers who have high level of data resiliency requirements that we have that 99 point lots of nines resiliency that the PowerMax, and it's forebears, VMX have provided for 20 something years now, those customers say at our financial institutions where they have to have massive levels of resiliency. We have customers who frankly have separate buying cycles, where they buy their compute one year, and then maybe two years later, that's when their storage comes up for renewal. So those customers are able to leverage both VCF on VxRail and their external storage. I'm not going to drop customer names. I've got a couple that come to mind, but I'll say in the financial institution and in healthcare especially is where we see. >> What problem are they solving? You don't have to name names because I know it's probably the company, everything, but you know what all the reference stuff, but what's the anecdotal, what's the main problem, let's say kind of the use cases that jump out and people, if people are watching might think that they should be using this. What signals and signs should they be looking for? >> Absolutely. I would say first off data resiliency, and I'm just in love with PowerMax. So that's the first thing that jumps to mind. I'm extreme performance, whether it's databases or having a need to get data out to their customers as quickly as possible. Replication comes to mind. Those are the big three. And then of course, where you maybe need a little bit of compute and a lot of storage are dynamic nodes and VCF on VxRail means that we can sell our nodes without any storage. And that really gives us an ability to just say, I need a lot of compute, I need a little compute, whatever it might be, I'm going to scale my nodes and my storage independently of one another. >> Where can people get more information to find out? >> Sure, absolutely. So for more information, you can always go to dell.com. You can reach out to your sales team and talk to your VMware sales team as well, who are well-versed in VCF on VxRail deployments, but we're always here dell.com and we're always just an email away. >> So while I've got your here, say, I want to ask you about this notion of simplifying the IT operational experience. >> Sure. >> In your view, as you look out on the horizon from your perspective, being the product leader on this area, what's on the mind of the customer. What's the psychology out there? What's some of the environmental conditions that they're facing (indistinct) their landscape. Is it do more with less, the classic cliche? Is it actually a replatformin, is it refactoring? Is it application developers? what's some of the big drivers there in terms of the customers that you're seeing? >> So as a customer today, I have so many options for where to put my data and where to put my VMs and my development. I want to look at what is the best route for my business? Is it a hybrid cloud offering? And if yes, what's the easiest way to manage that because at the end of the day, if I'm spending money on maintenance spending money on staff who are not accelerating the business, but just keeping the thing going, what's the best way to do that? And VCF on VxRail today really allows our customers to deploy a private or a hybrid cloud rather, and maintain the entire thing through one interface. That interface being SDDC Manager. When we look at the benefits of it, VCF for on VxRail today provides Tanzu. So for customers who need to have a development platform in their hybrid cloud Tanzu is that the easy option or the easy answer for that. So, it is a big answer. What's driving this, lots of things, but really it's data center modernization. It's moving from a traditional servers with virtual machines on them into the hybrid cloud. >> Yeah, you were missing resilience here on the data. I think that's awesome because I mean, at the end of the day it's data driven. Everyone wants more data. Database has been around for a while. So making that go faster is really critical. Awesome, awesome conversation. And now on the VCF on VxRail, what's the bottom line, if you had to summarize the evolution capabilities that are coming on, they're evolving, you're the Product Manager, you got the keys to the kingdom, what's next, what's happening? >> If I'm looking at VCF and what's next and what's on the way, really lifecycle management. So, when our customers talk about what it looks like to lifecycle their systems without VCF on VxRail and the complexity of doing that without VCF it's lifecycle management is the reason for being. We look at the, from everything we lifecycle from the hardware of the VxRail nodes, including disc firmware, HPAs, NIC drivers, etc to the VCF SDDC software suite, all of those components they're in vSphere, VCenter ESXi. I'm going through the checklist in my head here. The V realized components, getting all of that lifecycle to a good continuous revalidated state is really, really tough. And then your add storage, that's one more thing. So I want to be able to just have a single click that will go through LCM my entire hybrid cloud environment from hardware to software stack, so that I can manage that external storage that I just added to my system without adding more pain. So really with VCF on VxRail, it's the only jointly engineered solution from an HCI vendor like VxRail and VMware to deliver that single click soup to nuts hardware to software suite LCM. LCM is the name of the game. And we're going to continue to make that innovate on that and new ways that I can't even say yet. >> I can't wait to hear the innovation is a great model. Putting that out there, getting the environmental all scaled up. Sam Niemi, Product Manager, VCF VMware Cloud Foundation on VxRail with Dell Technologies. Thanks for coming on this CUBE conversation. >> Absolutely thanks, John. >> Okay, it's theCUBE here in Palo Alto. I'm John for your host, thanks for watching. (upbeat music)

Published Date : Jan 18 2022

SUMMARY :

He's got the keys to the kingdom. and their ability to innovate of nodes deployed across the world. VCF on VxRail has to evolve as well. I got to ask you on this big product and have the same benefits in it on the family text, So it really comes down to that the PowerMax, and it's forebears, VMX You don't have to name So that's the first and talk to your VMware the IT operational experience. in terms of the customers is that the easy option And now on the VCF on VxRail, getting all of that lifecycle to getting the environmental all scaled up. I'm John for your host,

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Analyst Predictions 2022: The Future of Data Management


 

[Music] in the 2010s organizations became keenly aware that data would become the key ingredient in driving competitive advantage differentiation and growth but to this day putting data to work remains a difficult challenge for many if not most organizations now as the cloud matures it has become a game changer for data practitioners by making cheap storage and massive processing power readily accessible we've also seen better tooling in the form of data workflows streaming machine intelligence ai developer tools security observability automation new databases and the like these innovations they accelerate data proficiency but at the same time they had complexity for practitioners data lakes data hubs data warehouses data marts data fabrics data meshes data catalogs data oceans are forming they're evolving and exploding onto the scene so in an effort to bring perspective to the sea of optionality we've brought together the brightest minds in the data analyst community to discuss how data management is morphing and what practitioners should expect in 2022 and beyond hello everyone my name is dave vellante with the cube and i'd like to welcome you to a special cube presentation analyst predictions 2022 the future of data management we've gathered six of the best analysts in data and data management who are going to present and discuss their top predictions and trends for 2022 in the first half of this decade let me introduce our six power panelists sanjeev mohan is former gartner analyst and principal at sanjamo tony bear is principal at db insight carl olufsen is well-known research vice president with idc dave meninger is senior vice president and research director at ventana research brad shimon chief analyst at ai platforms analytics and data management at omnia and doug henschen vice president and principal analyst at constellation research gentlemen welcome to the program and thanks for coming on thecube today great to be here thank you all right here's the format we're going to use i as moderator are going to call on each analyst separately who then will deliver their prediction or mega trend and then in the interest of time management and pace two analysts will have the opportunity to comment if we have more time we'll elongate it but let's get started right away sanjeev mohan please kick it off you want to talk about governance go ahead sir thank you dave i i believe that data governance which we've been talking about for many years is now not only going to be mainstream it's going to be table stakes and all the things that you mentioned you know with data oceans data lakes lake houses data fabric meshes the common glue is metadata if we don't understand what data we have and we are governing it there is no way we can manage it so we saw informatica when public last year after a hiatus of six years i've i'm predicting that this year we see some more companies go public uh my bet is on colibra most likely and maybe alation we'll see go public this year we we i'm also predicting that the scope of data governance is going to expand beyond just data it's not just data and reports we are going to see more transformations like spark jaws python even airflow we're going to see more of streaming data so from kafka schema registry for example we will see ai models become part of this whole governance suite so the governance suite is going to be very comprehensive very detailed lineage impact analysis and then even expand into data quality we already seen that happen with some of the tools where they are buying these smaller companies and bringing in data quality monitoring and integrating it with metadata management data catalogs also data access governance so these so what we are going to see is that once the data governance platforms become the key entry point into these modern architectures i'm predicting that the usage the number of users of a data catalog is going to exceed that of a bi tool that will take time and we already seen that that trajectory right now if you look at bi tools i would say there are 100 users to a bi tool to one data catalog and i i see that evening out over a period of time and at some point data catalogs will really become you know the main way for us to access data data catalog will help us visualize data but if we want to do more in-depth analysis it'll be the jumping-off point into the bi tool the data science tool and and that is that is the journey i see for the data governance products excellent thank you some comments maybe maybe doug a lot a lot of things to weigh in on there maybe you could comment yeah sanjeev i think you're spot on a lot of the trends uh the one disagreement i think it's it's really still far from mainstream as you say we've been talking about this for years it's like god motherhood apple pie everyone agrees it's important but too few organizations are really practicing good governance because it's hard and because the incentives have been lacking i think one thing that deserves uh mention in this context is uh esg mandates and guidelines these are environmental social and governance regs and guidelines we've seen the environmental rags and guidelines imposed in industries particularly the carbon intensive industries we've seen the social mandates particularly diversity imposed on suppliers by companies that are leading on this topic we've seen governance guidelines now being imposed by banks and investors so these esgs are presenting new carrots and sticks and it's going to demand more solid data it's going to demand more detailed reporting and solid reporting tighter governance but we're still far from mainstream adoption we have a lot of uh you know best of breed niche players in the space i think the signs that it's going to be more mainstream are starting with things like azure purview google dataplex the big cloud platform uh players seem to be uh upping the ante and and addressing starting to address governance excellent thank you doug brad i wonder if you could chime in as well yeah i would love to be a believer in data catalogs um but uh to doug's point i think that it's going to take some more pressure for for that to happen i recall metadata being something every enterprise thought they were going to get under control when we were working on service oriented architecture back in the 90s and that didn't happen quite the way we we anticipated and and uh to sanjeev's point it's because it is really complex and really difficult to do my hope is that you know we won't sort of uh how do we put this fade out into this nebulous nebula of uh domain catalogs that are specific to individual use cases like purview for getting data quality right or like data governance and cyber security and instead we have some tooling that can actually be adaptive to gather metadata to create something i know is important to you sanjeev and that is this idea of observability if you can get enough metadata without moving your data around but understanding the entirety of a system that's running on this data you can do a lot to help with with the governance that doug is talking about so so i just want to add that you know data governance like many other initiatives did not succeed even ai went into an ai window but that's a different topic but a lot of these things did not succeed because to your point the incentives were not there i i remember when starbucks oxley had come into the scene if if a bank did not do service obviously they were very happy to a million dollar fine that was like you know pocket change for them instead of doing the right thing but i think the stakes are much higher now with gdpr uh the floodgates open now you know california you know has ccpa but even ccpa is being outdated with cpra which is much more gdpr like so we are very rapidly entering a space where every pretty much every major country in the world is coming up with its own uh compliance regulatory requirements data residence is becoming really important and and i i think we are going to reach a stage where uh it won't be optional anymore so whether we like it or not and i think the reason data catalogs were not successful in the past is because we did not have the right focus on adoption we were focused on features and these features were disconnected very hard for business to stop these are built by it people for it departments to to take a look at technical metadata not business metadata today the tables have turned cdo's are driving this uh initiative uh regulatory compliances are beating down hard so i think the time might be right yeah so guys we have to move on here and uh but there's some some real meat on the bone here sanjeev i like the fact that you late you called out calibra and alation so we can look back a year from now and say okay he made the call he stuck it and then the ratio of bi tools the data catalogs that's another sort of measurement that we can we can take even though some skepticism there that's something that we can watch and i wonder if someday if we'll have more metadata than data but i want to move to tony baer you want to talk about data mesh and speaking you know coming off of governance i mean wow you know the whole concept of data mesh is decentralized data and then governance becomes you know a nightmare there but take it away tony we'll put it this way um data mesh you know the the idea at least is proposed by thoughtworks um you know basically was unleashed a couple years ago and the press has been almost uniformly almost uncritical um a good reason for that is for all the problems that basically that sanjeev and doug and brad were just you know we're just speaking about which is that we have all this data out there and we don't know what to do about it um now that's not a new problem that was a problem we had enterprise data warehouses it was a problem when we had our hadoop data clusters it's even more of a problem now the data's out in the cloud where the data is not only your data like is not only s3 it's all over the place and it's also including streaming which i know we'll be talking about later so the data mesh was a response to that the idea of that we need to debate you know who are the folks that really know best about governance is the domain experts so it was basically data mesh was an architectural pattern and a process my prediction for this year is that data mesh is going to hit cold hard reality because if you if you do a google search um basically the the published work the articles and databases have been largely you know pretty uncritical um so far you know that you know basically learning is basically being a very revolutionary new idea i don't think it's that revolutionary because we've talked about ideas like this brad and i you and i met years ago when we were talking about so and decentralizing all of us was at the application level now we're talking about at the data level and now we have microservices so there's this thought of oh if we manage if we're apps in cloud native through microservices why don't we think of data in the same way um my sense this year is that you know this and this has been a very active search if you look at google search trends is that now companies are going to you know enterprises are going to look at this seriously and as they look at seriously it's going to attract its first real hard scrutiny it's going to attract its first backlash that's not necessarily a bad thing it means that it's being taken seriously um the reason why i think that that uh that it will you'll start to see basically the cold hard light of day shine on data mesh is that it's still a work in progress you know this idea is basically a couple years old and there's still some pretty major gaps um the biggest gap is in is in the area of federated governance now federated governance itself is not a new issue uh federated governance position we're trying to figure out like how can we basically strike the balance between getting let's say you know between basically consistent enterprise policy consistent enterprise governance but yet the groups that understand the data know how to basically you know that you know how do we basically sort of balance the two there's a huge there's a huge gap there in practice and knowledge um also to a lesser extent there's a technology gap which is basically in the self-service technologies that will help teams essentially govern data you know basically through the full life cycle from developed from selecting the data from you know building the other pipelines from determining your access control determining looking at quality looking at basically whether data is fresh or whether or not it's trending of course so my predictions is that it will really receive the first harsh scrutiny this year you are going to see some organization enterprises declare premature victory when they've uh when they build some federated query implementations you're going to see vendors start to data mesh wash their products anybody in the data management space they're going to say that whether it's basically a pipelining tool whether it's basically elt whether it's a catalog um or confederated query tool they're all going to be like you know basically promoting the fact of how they support this hopefully nobody is going to call themselves a data mesh tool because data mesh is not a technology we're going to see one other thing come out of this and this harks back to the metadata that sanji was talking about and the catalogs that he was talking about which is that there's going to be a new focus on every renewed focus on metadata and i think that's going to spur interest in data fabrics now data fabrics are pretty vaguely defined but if we just take the most elemental definition which is a common metadata back plane i think that if anybody is going to get serious about data mesh they need to look at a data fabric because we all at the end of the day need to speak you know need to read from the same sheet of music so thank you tony dave dave meninger i mean one of the things that people like about data mesh is it pretty crisply articulates some of the flaws in today's organizational approaches to data what are your thoughts on this well i think we have to start by defining data mesh right the the term is already getting corrupted right tony said it's going to see the cold hard uh light of day and there's a problem right now that there are a number of overlapping terms that are similar but not identical so we've got data virtualization data fabric excuse me for a second sorry about that data virtualization data fabric uh uh data federation right uh so i i think that it's not really clear what each vendor means by these terms i see data mesh and data fabric becoming quite popular i've i've interpreted data mesh as referring primarily to the governance aspects as originally you know intended and specified but that's not the way i see vendors using i see vendors using it much more to mean data fabric and data virtualization so i'm going to comment on the group of those things i think the group of those things is going to happen they're going to happen they're going to become more robust our research suggests that a quarter of organizations are already using virtualized access to their data lakes and another half so a total of three quarters will eventually be accessing their data lakes using some sort of virtualized access again whether you define it as mesh or fabric or virtualization isn't really the point here but this notion that there are different elements of data metadata and governance within an organization that all need to be managed collectively the interesting thing is when you look at the satisfaction rates of those organizations using virtualization versus those that are not it's almost double 68 of organizations i'm i'm sorry um 79 of organizations that were using virtualized access express satisfaction with their access to the data lake only 39 expressed satisfaction if they weren't using virtualized access so thank you uh dave uh sanjeev we just got about a couple minutes on this topic but i know you're speaking or maybe you've spoken already on a panel with jamal dagani who sort of invented the concept governance obviously is a big sticking point but what are your thoughts on this you are mute so my message to your mark and uh and to the community is uh as opposed to what dave said let's not define it we spent the whole year defining it there are four principles domain product data infrastructure and governance let's take it to the next level i get a lot of questions on what is the difference between data fabric and data mesh and i'm like i can compare the two because data mesh is a business concept data fabric is a data integration pattern how do you define how do you compare the two you have to bring data mesh level down so to tony's point i'm on a warp path in 2022 to take it down to what does a data product look like how do we handle shared data across domains and govern it and i think we are going to see more of that in 2022 is operationalization of data mesh i think we could have a whole hour on this topic couldn't we uh maybe we should do that uh but let's go to let's move to carl said carl your database guy you've been around that that block for a while now you want to talk about graph databases bring it on oh yeah okay thanks so i regard graph database as basically the next truly revolutionary database management technology i'm looking forward to for the graph database market which of course we haven't defined yet so obviously i have a little wiggle room in what i'm about to say but that this market will grow by about 600 percent over the next 10 years now 10 years is a long time but over the next five years we expect to see gradual growth as people start to learn how to use it problem isn't that it's used the problem is not that it's not useful is that people don't know how to use it so let me explain before i go any further what a graph database is because some of the folks on the call may not may not know what it is a graph database organizes data according to a mathematical structure called a graph a graph has elements called nodes and edges so a data element drops into a node the nodes are connected by edges the edges connect one node to another node combinations of edges create structures that you can analyze to determine how things are related in some cases the nodes and edges can have properties attached to them which add additional informative material that makes it richer that's called a property graph okay there are two principal use cases for graph databases there's there's semantic proper graphs which are used to break down human language text uh into the semantic structures then you can search it organize it and and and answer complicated questions a lot of ai is aimed at semantic graphs another kind is the property graph that i just mentioned which has a dazzling number of use cases i want to just point out is as i talk about this people are probably wondering well we have relational databases isn't that good enough okay so a relational database defines it uses um it supports what i call definitional relationships that means you define the relationships in a fixed structure the database drops into that structure there's a value foreign key value that relates one table to another and that value is fixed you don't change it if you change it the database becomes unstable it's not clear what you're looking at in a graph database the system is designed to handle change so that it can reflect the true state of the things that it's being used to track so um let me just give you some examples of use cases for this um they include uh entity resolution data lineage uh um social media analysis customer 360 fraud prevention there's cyber security there's strong supply chain is a big one actually there's explainable ai and this is going to become important too because a lot of people are adopting ai but they want a system after the fact to say how did the ai system come to that conclusion how did it make that recommendation right now we don't have really good ways of tracking that okay machine machine learning in general um social network i already mentioned that and then we've got oh gosh we've got data governance data compliance risk management we've got recommendation we've got personalization anti-money money laundering that's another big one identity and access management network and i.t operations is already becoming a key one where you actually have mapped out your operation your your you know whatever it is your data center and you you can track what's going on as things happen there root cause analysis fraud detection is a huge one a number of major credit card companies use graph databases for fraud detection risk analysis tracking and tracing churn analysis next best action what-if analysis impact analysis entity resolution and i would add one other thing or just a few other things to this list metadata management so sanjay here you go this is your engine okay because i was in metadata management for quite a while in my past life and one of the things i found was that none of the data management technologies that were available to us could efficiently handle metadata because of the kinds of structures that result from it but grass can okay grafts can do things like say this term in this context means this but in that context it means that okay things like that and in fact uh logistics management supply chain it also because it handles recursive relationships by recursive relationships i mean objects that own other objects that are of the same type you can do things like bill materials you know so like parts explosion you can do an hr analysis who reports to whom how many levels up the chain and that kind of thing you can do that with relational databases but yes it takes a lot of programming in fact you can do almost any of these things with relational databases but the problem is you have to program it it's not it's not supported in the database and whenever you have to program something that means you can't trace it you can't define it you can't publish it in terms of its functionality and it's really really hard to maintain over time so carl thank you i wonder if we could bring brad in i mean brad i'm sitting there wondering okay is this incremental to the market is it disruptive and replaceable what are your thoughts on this space it's already disrupted the market i mean like carl said go to any bank and ask them are you using graph databases to do to get fraud detection under control and they'll say absolutely that's the only way to solve this problem and it is frankly um and it's the only way to solve a lot of the problems that carl mentioned and that is i think it's it's achilles heel in some ways because you know it's like finding the best way to cross the seven bridges of konigsberg you know it's always going to kind of be tied to those use cases because it's really special and it's really unique and because it's special and it's unique uh it it still unfortunately kind of stands apart from the rest of the community that's building let's say ai outcomes as the great great example here the graph databases and ai as carl mentioned are like chocolate and peanut butter but technologically they don't know how to talk to one another they're completely different um and you know it's you can't just stand up sql and query them you've got to to learn um yeah what is that carlos specter or uh special uh uh yeah thank you uh to actually get to the data in there and if you're gonna scale that data that graph database especially a property graph if you're gonna do something really complex like try to understand uh you know all of the metadata in your organization you might just end up with you know a graph database winter like we had the ai winter simply because you run out of performance to make the thing happen so i i think it's already disrupted but we we need to like treat it like a first-class citizen in in the data analytics and ai community we need to bring it into the fold we need to equip it with the tools it needs to do that the magic it does and to do it not just for specialized use cases but for everything because i i'm with carl i i think it's absolutely revolutionary so i had also identified the principal achilles heel of the technology which is scaling now when these when these things get large and complex enough that they spill over what a single server can handle you start to have difficulties because the relationships span things that have to be resolved over a network and then you get network latency and that slows the system down so that's still a problem to be solved sanjeev any quick thoughts on this i mean i think metadata on the on the on the word cloud is going to be the the largest font uh but what are your thoughts here i want to like step away so people don't you know associate me with only meta data so i want to talk about something a little bit slightly different uh dbengines.com has done an amazing job i think almost everyone knows that they chronicle all the major databases that are in use today in january of 2022 there are 381 databases on its list of ranked list of databases the largest category is rdbms the second largest category is actually divided into two property graphs and rdf graphs these two together make up the second largest number of data databases so talking about accolades here this is a problem the problem is that there's so many graph databases to choose from they come in different shapes and forms uh to bright's point there's so many query languages in rdbms is sql end of the story here we've got sci-fi we've got gremlin we've got gql and then your proprietary languages so i think there's a lot of disparity in this space but excellent all excellent points sanji i must say and that is a problem the languages need to be sorted and standardized and it needs people need to have a road map as to what they can do with it because as you say you can do so many things and so many of those things are unrelated that you sort of say well what do we use this for i'm reminded of the saying i learned a bunch of years ago when somebody said that the digital computer is the only tool man has ever devised that has no particular purpose all right guys we gotta we gotta move on to dave uh meninger uh we've heard about streaming uh your prediction is in that realm so please take it away sure so i like to say that historical databases are to become a thing of the past but i don't mean that they're going to go away that's not my point i mean we need historical databases but streaming data is going to become the default way in which we operate with data so in the next say three to five years i would expect the data platforms and and we're using the term data platforms to represent the evolution of databases and data lakes that the data platforms will incorporate these streaming capabilities we're going to process data as it streams into an organization and then it's going to roll off into historical databases so historical databases don't go away but they become a thing of the past they store the data that occurred previously and as data is occurring we're going to be processing it we're going to be analyzing we're going to be acting on it i mean we we only ever ended up with historical databases because we were limited by the technology that was available to us data doesn't occur in batches but we processed it in batches because that was the best we could do and it wasn't bad and we've continued to improve and we've improved and we've improved but streaming data today is still the exception it's not the rule right there's there are projects within organizations that deal with streaming data but it's not the default way in which we deal with data yet and so that that's my prediction is that this is going to change we're going to have um streaming data be the default way in which we deal with data and and how you label it what you call it you know maybe these databases and data platforms just evolve to be able to handle it but we're going to deal with data in a different way and our research shows that already about half of the participants in our analytics and data benchmark research are using streaming data you know another third are planning to use streaming technologies so that gets us to about eight out of ten organizations need to use this technology that doesn't mean they have to use it throughout the whole organization but but it's pretty widespread in its use today and has continued to grow if you think about the consumerization of i.t we've all been conditioned to expect immediate access to information immediate responsiveness you know we want to know if an uh item is on the shelf at our local retail store and we can go in and pick it up right now you know that's the world we live in and that's spilling over into the enterprise i.t world where we have to provide those same types of capabilities um so that's my prediction historical database has become a thing of the past streaming data becomes the default way in which we we operate with data all right thank you david well so what what say you uh carl a guy who's followed historical databases for a long time well one thing actually every database is historical because as soon as you put data in it it's now history it's no longer it no longer reflects the present state of things but even if that history is only a millisecond old it's still history but um i would say i mean i know you're trying to be a little bit provocative in saying this dave because you know as well as i do that people still need to do their taxes they still need to do accounting they still need to run general ledger programs and things like that that all involves historical data that's not going to go away unless you want to go to jail so you're going to have to deal with that but as far as the leading edge functionality i'm totally with you on that and i'm just you know i'm just kind of wondering um if this chain if this requires a change in the way that we perceive applications in order to truly be manifested and rethinking the way m applications work um saying that uh an application should respond instantly as soon as the state of things changes what do you say about that i i think that's true i think we do have to think about things differently that's you know it's not the way we design systems in the past uh we're seeing more and more systems designed that way but again it's not the default and and agree 100 with you that we do need historical databases you know that that's clear and even some of those historical databases will be used in conjunction with the streaming data right so absolutely i mean you know let's take the data warehouse example where you're using the data warehouse as context and the streaming data as the present you're saying here's a sequence of things that's happening right now have we seen that sequence before and where what what does that pattern look like in past situations and can we learn from that so tony bear i wonder if you could comment i mean if you when you think about you know real-time inferencing at the edge for instance which is something that a lot of people talk about um a lot of what we're discussing here in this segment looks like it's got great potential what are your thoughts yeah well i mean i think you nailed it right you know you hit it right on the head there which is that i think a key what i'm seeing is that essentially and basically i'm going to split this one down the middle is i don't see that basically streaming is the default what i see is streaming and basically and transaction databases um and analytics data you know data warehouses data lakes whatever are converging and what allows us technically to converge is cloud native architecture where you can basically distribute things so you could have you can have a note here that's doing the real-time processing that's also doing it and this is what your leads in we're maybe doing some of that real-time predictive analytics to take a look at well look we're looking at this customer journey what's happening with you know you know with with what the customer is doing right now and this is correlated with what other customers are doing so what i so the thing is that in the cloud you can basically partition this and because of basically you know the speed of the infrastructure um that you can basically bring these together and or and so and kind of orchestrate them sort of loosely coupled manner the other part is that the use cases are demanding and this is part that goes back to what dave is saying is that you know when you look at customer 360 when you look at let's say smart you know smart utility grids when you look at any type of operational problem it has a real-time component and it has a historical component and having predictives and so like you know you know my sense here is that there that technically we can bring this together through the cloud and i think the use case is that is that we we can apply some some real-time sort of you know predictive analytics on these streams and feed this into the transactions so that when we make a decision in terms of what to do as a result of a transaction we have this real time you know input sanjeev did you have a comment yeah i was just going to say that to this point you know we have to think of streaming very different because in the historical databases we used to bring the data and store the data and then we used to run rules on top uh aggregations and all but in case of streaming the mindset changes because the rules normally the inference all of that is fixed but the data is constantly changing so it's a completely reverse way of thinking of uh and building applications on top of that so dave menninger there seemed to be some disagreement about the default or now what kind of time frame are you are you thinking about is this end of decade it becomes the default what would you pin i i think around you know between between five to ten years i think this becomes the reality um i think you know it'll be more and more common between now and then but it becomes the default and i also want sanjeev at some point maybe in one of our subsequent conversations we need to talk about governing streaming data because that's a whole other set of challenges we've also talked about it rather in a two dimensions historical and streaming and there's lots of low latency micro batch sub second that's not quite streaming but in many cases it's fast enough and we're seeing a lot of adoption of near real time not quite real time as uh good enough for most for many applications because nobody's really taking the hardware dimension of this information like how do we that'll just happen carl so near real time maybe before you lose the customer however you define that right okay um let's move on to brad brad you want to talk about automation ai uh the the the pipeline people feel like hey we can just automate everything what's your prediction yeah uh i'm i'm an ai fiction auto so apologies in advance for that but uh you know um i i think that um we've been seeing automation at play within ai for some time now and it's helped us do do a lot of things for especially for practitioners that are building ai outcomes in the enterprise uh it's it's helped them to fill skills gaps it's helped them to speed development and it's helped them to to actually make ai better uh because it you know in some ways provides some swim lanes and and for example with technologies like ottawa milk and can auto document and create that sort of transparency that that we talked about a little bit earlier um but i i think it's there's an interesting kind of conversion happening with this idea of automation um and and that is that uh we've had the automation that started happening for practitioners it's it's trying to move outside of the traditional bounds of things like i'm just trying to get my features i'm just trying to pick the right algorithm i'm just trying to build the right model uh and it's expanding across that full life cycle of building an ai outcome to start at the very beginning of data and to then continue on to the end which is this continuous delivery and continuous uh automation of of that outcome to make sure it's right and it hasn't drifted and stuff like that and because of that because it's become kind of powerful we're starting to to actually see this weird thing happen where the practitioners are starting to converge with the users and that is to say that okay if i'm in tableau right now i can stand up salesforce einstein discovery and it will automatically create a nice predictive algorithm for me um given the data that i that i pull in um but what's starting to happen and we're seeing this from the the the companies that create business software so salesforce oracle sap and others is that they're starting to actually use these same ideals and a lot of deep learning to to basically stand up these out of the box flip a switch and you've got an ai outcome at the ready for business users and um i i'm very much you know i think that that's that's the way that it's going to go and what it means is that ai is is slowly disappearing uh and i don't think that's a bad thing i think if anything what we're going to see in 2022 and maybe into 2023 is this sort of rush to to put this idea of disappearing ai into practice and have as many of these solutions in the enterprise as possible you can see like for example sap is going to roll out this quarter this thing called adaptive recommendation services which which basically is a cold start ai outcome that can work across a whole bunch of different vertical markets and use cases it's just a recommendation engine for whatever you need it to do in the line of business so basically you're you're an sap user you look up to turn on your software one day and you're a sales professional let's say and suddenly you have a recommendation for customer churn it's going that's great well i i don't know i i think that's terrifying in some ways i think it is the future that ai is going to disappear like that but i am absolutely terrified of it because um i i think that what it what it really does is it calls attention to a lot of the issues that we already see around ai um specific to this idea of what what we like to call it omdia responsible ai which is you know how do you build an ai outcome that is free of bias that is inclusive that is fair that is safe that is secure that it's audible etc etc etc etc that takes some a lot of work to do and so if you imagine a customer that that's just a sales force customer let's say and they're turning on einstein discovery within their sales software you need some guidance to make sure that when you flip that switch that the outcome you're going to get is correct and that's that's going to take some work and so i think we're going to see this let's roll this out and suddenly there's going to be a lot of a lot of problems a lot of pushback uh that we're going to see and some of that's going to come from gdpr and others that sam jeeve was mentioning earlier a lot of it's going to come from internal csr requirements within companies that are saying hey hey whoa hold up we can't do this all at once let's take the slow route let's make ai automated in a smart way and that's going to take time yeah so a couple predictions there that i heard i mean ai essentially you disappear it becomes invisible maybe if i can restate that and then if if i understand it correctly brad you're saying there's a backlash in the near term people can say oh slow down let's automate what we can those attributes that you talked about are non trivial to achieve is that why you're a bit of a skeptic yeah i think that we don't have any sort of standards that companies can look to and understand and we certainly within these companies especially those that haven't already stood up in internal data science team they don't have the knowledge to understand what that when they flip that switch for an automated ai outcome that it's it's gonna do what they think it's gonna do and so we need some sort of standard standard methodology and practice best practices that every company that's going to consume this invisible ai can make use of and one of the things that you know is sort of started that google kicked off a few years back that's picking up some momentum and the companies i just mentioned are starting to use it is this idea of model cards where at least you have some transparency about what these things are doing you know so like for the sap example we know for example that it's convolutional neural network with a long short-term memory model that it's using we know that it only works on roman english uh and therefore me as a consumer can say oh well i know that i need to do this internationally so i should not just turn this on today great thank you carl can you add anything any context here yeah we've talked about some of the things brad mentioned here at idc in the our future of intelligence group regarding in particular the moral and legal implications of having a fully automated you know ai uh driven system uh because we already know and we've seen that ai systems are biased by the data that they get right so if if they get data that pushes them in a certain direction i think there was a story last week about an hr system that was uh that was recommending promotions for white people over black people because in the past um you know white people were promoted and and more productive than black people but not it had no context as to why which is you know because they were being historically discriminated black people being historically discriminated against but the system doesn't know that so you know you have to be aware of that and i think that at the very least there should be controls when a decision has either a moral or a legal implication when when you want when you really need a human judgment it could lay out the options for you but a person actually needs to authorize that that action and i also think that we always will have to be vigilant regarding the kind of data we use to train our systems to make sure that it doesn't introduce unintended biases and to some extent they always will so we'll always be chasing after them that's that's absolutely carl yeah i think that what you have to bear in mind as a as a consumer of ai is that it is a reflection of us and we are a very flawed species uh and so if you look at all the really fantastic magical looking supermodels we see like gpt three and four that's coming out z they're xenophobic and hateful uh because the people the data that's built upon them and the algorithms and the people that build them are us so ai is a reflection of us we need to keep that in mind yeah we're the ai's by us because humans are biased all right great okay let's move on doug henson you know a lot of people that said that data lake that term's not not going to not going to live on but it appears to be have some legs here uh you want to talk about lake house bring it on yes i do my prediction is that lake house and this idea of a combined data warehouse and data lake platform is going to emerge as the dominant data management offering i say offering that doesn't mean it's going to be the dominant thing that organizations have out there but it's going to be the predominant vendor offering in 2022. now heading into 2021 we already had cloudera data bricks microsoft snowflake as proponents in 2021 sap oracle and several of these fabric virtualization mesh vendors join the bandwagon the promise is that you have one platform that manages your structured unstructured and semi-structured information and it addresses both the beyond analytics needs and the data science needs the real promise there is simplicity and lower cost but i think end users have to answer a few questions the first is does your organization really have a center of data gravity or is it is the data highly distributed multiple data warehouses multiple data lakes on-premises cloud if it if it's very distributed and you you know you have difficulty consolidating and that's not really a goal for you then maybe that single platform is unrealistic and not likely to add value to you um you know also the fabric and virtualization vendors the the mesh idea that's where if you have this highly distributed situation that might be a better path forward the second question if you are looking at one of these lake house offerings you are looking at consolidating simplifying bringing together to a single platform you have to make sure that it meets both the warehouse need and the data lake need so you have vendors like data bricks microsoft with azure synapse new really to the data warehouse space and they're having to prove that these data warehouse capabilities on their platforms can meet the scaling requirements can meet the user and query concurrency requirements meet those tight slas and then on the other hand you have the or the oracle sap snowflake the data warehouse uh folks coming into the data science world and they have to prove that they can manage the unstructured information and meet the needs of the data scientists i'm seeing a lot of the lake house offerings from the warehouse crowd managing that unstructured information in columns and rows and some of these vendors snowflake in particular is really relying on partners for the data science needs so you really got to look at a lake house offering and make sure that it meets both the warehouse and the data lake requirement well thank you doug well tony if those two worlds are going to come together as doug was saying the analytics and the data science world does it need to be some kind of semantic layer in between i don't know weigh in on this topic if you would oh didn't we talk about data fabrics before common metadata layer um actually i'm almost tempted to say let's declare victory and go home in that this is actually been going on for a while i actually agree with uh you know much what doug is saying there which is that i mean we i remembered as far back as i think it was like 2014 i was doing a a study you know it was still at ovum predecessor omnia um looking at all these specialized databases that were coming up and seeing that you know there's overlap with the edges but yet there was still going to be a reason at the time that you would have let's say a document database for json you'd have a relational database for tran you know for transactions and for data warehouse and you had you know and you had basically something at that time that that resembles to do for what we're considering a day of life fast fo and the thing is what i was saying at the time is that you're seeing basically blur you know sort of blending at the edges that i was saying like about five or six years ago um that's all and the the lake house is essentially you know the amount of the the current manifestation of that idea there is a dichotomy in terms of you know it's the old argument do we centralize this all you know you know in in in in in a single place or do we or do we virtualize and i think it's always going to be a yin and yang there's never going to be a single single silver silver bullet i do see um that they're also going to be questions and these are things that points that doug raised they're you know what your what do you need of of of your of you know for your performance there or for your you know pre-performance characteristics do you need for instance hiking currency you need the ability to do some very sophisticated joins or is your requirement more to be able to distribute and you know distribute our processing is you know as far as possible to get you know to essentially do a kind of brute force approach all these approaches are valid based on you know based on the used case um i just see that essentially that the lake house is the culmination of it's nothing it's just it's a relatively new term introduced by databricks a couple years ago this is the culmination of basically what's been a long time trend and what we see in the cloud is that as we start seeing data warehouses as a checkbox item say hey we can basically source data in cloud and cloud storage and s3 azure blob store you know whatever um as long as it's in certain formats like you know like you know parquet or csv or something like that you know i see that as becoming kind of you know a check box item so to that extent i think that the lake house depending on how you define it is already reality um and in some in some cases maybe new terminology but not a whole heck of a lot new under the sun yeah and dave menger i mean a lot of this thank you tony but a lot of this is going to come down to you know vendor marketing right some people try to co-opt the term we talked about data mesh washing what are your thoughts on this yeah so um i used the term data platform earlier and and part of the reason i use that term is that it's more vendor neutral uh we've we've tried to uh sort of stay out of the the vendor uh terminology patenting world right whether whether the term lake house is what sticks or not the concept is certainly going to stick and we have some data to back it up about a quarter of organizations that are using data lakes today already incorporate data warehouse functionality into it so they consider their data lake house and data warehouse one in the same about a quarter of organizations a little less but about a quarter of organizations feed the data lake from the data warehouse and about a quarter of organizations feed the data warehouse from the data lake so it's pretty obvious that three quarters of organizations need to bring this stuff together right the need is there the need is apparent the technology is going to continue to verge converge i i like to talk about you know you've got data lakes over here at one end and i'm not going to talk about why people thought data lakes were a bad idea because they thought you just throw stuff in a in a server and you ignore it right that's not what a data lake is so you've got data lake people over here and you've got database people over here data warehouse people over here database vendors are adding data lake capabilities and data lake vendors are adding data warehouse capabilities so it's obvious that they're going to meet in the middle i mean i think it's like tony says i think we should there declare victory and go home and so so i it's just a follow-up on that so are you saying these the specialized lake and the specialized warehouse do they go away i mean johnny tony data mesh practitioners would say or or advocates would say well they could all live as just a node on the on the mesh but based on what dave just said are we going to see those all morph together well number one as i was saying before there's always going to be this sort of you know kind of you know centrifugal force or this tug of war between do we centralize the data do we do it virtualize and the fact is i don't think that work there's ever going to be any single answer i think in terms of data mesh data mesh has nothing to do with how you physically implement the data you could have a data mesh on a basically uh on a data warehouse it's just that you know the difference being is that if we use the same you know physical data store but everybody's logically manual basically governing it differently you know um a data mission is basically it's not a technology it's a process it's a governance process um so essentially um you know you know i basically see that you know as as i was saying before that this is basically the culmination of a long time trend we're essentially seeing a lot of blurring but there are going to be cases where for instance if i need let's say like observe i need like high concurrency or something like that there are certain things that i'm not going to be able to get efficiently get out of a data lake um and you know we're basically i'm doing a system where i'm just doing really brute forcing very fast file scanning and that type of thing so i think there always will be some delineations but i would agree with dave and with doug that we are seeing basically a a confluence of requirements that we need to essentially have basically the element you know the ability of a data lake and a data laid out their warehouse we these need to come together so i think what we're likely to see is organizations look for a converged platform that can handle both sides for their center of data gravity the mesh and the fabric vendors the the fabric virtualization vendors they're all on board with the idea of this converged platform and they're saying hey we'll handle all the edge cases of the stuff that isn't in that center of data gradient that is off distributed in a cloud or at a remote location so you can have that single platform for the center of of your your data and then bring in virtualization mesh what have you for reaching out to the distributed data bingo as they basically said people are happy when they virtualize data i i think yes at this point but to this uh dave meningas point you know they have convert they are converging snowflake has introduced support for unstructured data so now we are literally splitting here now what uh databricks is saying is that aha but it's easy to go from data lake to data warehouse than it is from data warehouse to data lake so i think we're getting into semantics but we've already seen these two converge so is that so it takes something like aws who's got what 15 data stores are they're going to have 15 converged data stores that's going to be interesting to watch all right guys i'm going to go down the list and do like a one i'm going to one word each and you guys each of the analysts if you wouldn't just add a very brief sort of course correction for me so sanjeev i mean governance is going to be the maybe it's the dog that wags the tail now i mean it's coming to the fore all this ransomware stuff which really didn't talk much about security but but but what's the one word in your prediction that you would leave us with on governance it's uh it's going to be mainstream mainstream okay tony bear mesh washing is what i wrote down that's that's what we're going to see in uh in in 2022 a little reality check you you want to add to that reality check is i hope that no vendor you know jumps the shark and calls their offering a data mesh project yeah yeah let's hope that doesn't happen if they do we're going to call them out uh carl i mean graph databases thank you for sharing some some you know high growth metrics i know it's early days but magic is what i took away from that it's the magic database yeah i would actually i've said this to people too i i kind of look at it as a swiss army knife of data because you can pretty much do anything you want with it it doesn't mean you should i mean that's definitely the case that if you're you know managing things that are in a fixed schematic relationship probably a relational database is a better choice there are you know times when the document database is a better choice it can handle those things but maybe not it may not be the best choice for that use case but for a great many especially the new emerging use cases i listed it's the best choice thank you and dave meninger thank you by the way for bringing the data in i like how you supported all your comments with with some some data points but streaming data becomes the sort of default uh paradigm if you will what would you add yeah um i would say think fast right that's the world we live in you got to think fast fast love it uh and brad shimon uh i love it i mean on the one hand i was saying okay great i'm afraid i might get disrupted by one of these internet giants who are ai experts so i'm gonna be able to buy instead of build ai but then again you know i've got some real issues there's a potential backlash there so give us the there's your bumper sticker yeah i i would say um going with dave think fast and also think slow uh to to talk about the book that everyone talks about i would say really that this is all about trust trust in the idea of automation and of a transparent invisible ai across the enterprise but verify verify before you do anything and then doug henson i mean i i look i think the the trend is your friend here on this prediction with lake house is uh really becoming dominant i liked the way you set up that notion of you know the the the data warehouse folks coming at it from the analytics perspective but then you got the data science worlds coming together i still feel as though there's this piece in the middle that we're missing but your your final thoughts we'll give you the last well i think the idea of consolidation and simplification uh always prevails that's why the appeal of a single platform is going to be there um we've already seen that with uh you know hadoop platforms moving toward cloud moving toward object storage and object storage becoming really the common storage point for whether it's a lake or a warehouse uh and that second point uh i think esg mandates are uh are gonna come in alongside uh gdpr and things like that to uh up the ante for uh good governance yeah thank you for calling that out okay folks hey that's all the time that that we have here your your experience and depth of understanding on these key issues and in data and data management really on point and they were on display today i want to thank you for your your contributions really appreciate your time enjoyed it thank you now in addition to this video we're going to be making available transcripts of the discussion we're going to do clips of this as well we're going to put them out on social media i'll write this up and publish the discussion on wikibon.com and siliconangle.com no doubt several of the analysts on the panel will take the opportunity to publish written content social commentary or both i want to thank the power panelist and thanks for watching this special cube presentation this is dave vellante be well and we'll see you next time [Music] you

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Why Oracle’s Stock is Surging to an All time High


 

>> From theCUBE Studios in Palo Alto in Boston, bringing you data-driven insights from the cube in ETR. This is Breaking Analysis with Dave Vellante. >> On Friday, December 10th, Oracle announced a strong earnings beat and raise, on the strength of its licensed business, and slightly better than expected cloud performance. The stock was up sharply on the day and closed up nearly 16% surpassing 280 billion in market value. Oracle's success is due largely to its execution, of a highly differentiated strategy, that has really evolved over the past decade or more, deeply integrating its hardware and software, heavily investing in next generation cloud, creating a homogeneous experience across its application portfolio, and becoming the number one platform. Number one for the world's most mission critical applications. Now, while investors piled into the stock, skeptics will point to the beat being weighed toward licensed revenue and likely keep one finger on the sell button until they're convinced Oracle's cloud momentum, is more consistent and predictable. Hello and welcome to this week's Wikibond CUBE insights powered by ETR. In this breaking analysis, we'll review Oracle's most recent quarter, and pull in some ETR survey data, to frame the company's cloud business, the momentum of fusion ERP, where the company is winning and some gaps and opportunities that we see. The numbers this quarter was strong, particularly top line growth. Here are a few highlights. Oracle's revenues that grew 6% year on year that's in constant currency, surpassed $10 billion for the quarter. Oracle's non-gap operating margins, were an impressive 47%. Safra Catz has always said cloud is more profitable business and it's really starting to show in the income statement. Operating cash and free cash flow were 10.3 billion and 7.1 billion respectively, for the past four quarters, and would have been higher, if not for charges largely related to litigation expenses tied to the hiring of Mark Hurd, which the company said would not repeat in the future quarters. And you can see in this chart how Oracle breaks down its business, which is kind of a mishmash of items they lump into so-called the cloud. The largest piece of the revenue pie is cloud services, and licensed support, which in reading 10Ks, you'll find statements like the following; licensed support revenues are our largest revenue stream and include product upgrades, and maintenance releases and patches, as well as technical support assistance and statements like the following; cloud and licensed revenue, include the sale of cloud services, cloud licenses and on-premises licenses, which typically represent perpetual software licenses purchased by customers, for use in both cloud, and on-premises, IT environments. And cloud license and on-prem license revenues primarily represent amounts earned from granting customers perpetual licenses to use our database middleware application in industry specific products, which our customers use for cloud-based, on-premise and other IT environments. So you tell me, "is that cloud? I don't know." In the early days of Oracle cloud, the company used to break out, IaaS, PaaS and SaaS revenue separately, but it changed its mind, which really makes it difficult to determine what's happening in true cloud. Look I have no problem including same same hardware software control plane, et cetera. The hybrid if it's on-prem in a true hybrid environment like exadata cloud@customer or AWS outposts. But you have to question what's really cloud in these numbers. And Larry in the earnings call mentioned that Salesforce licenses the Oracle database, to run its cloud and Oracle doesn't count that in its cloud number, rather it counts it in license revenue, but as you can see it varies that into a line item that starts with the word cloud. So I guess I would say that Oracle's reporting is maybe somewhat better than IBM's cloud reporting, which is the worst, but I can't really say what is and isn't cloud, in these numbers. Nonetheless, Oracle is getting it done for investors. Here's a chart comparing the five-year performance of Oracle to some of its legacy peers. We excluded Microsoft because it skews the numbers. Microsoft would really crush all these names including Oracle. But look at Oracle. It's wedged in between the performance of the NASDAQ and the S&P 500, it's up over 160% in that five-year timeframe, well ahead of SAP which is up 59% in that time, and way ahead of the dismal -22% performance of IBM. Well, it's a shame. The tech tide is rising, it's lifting all boats but, IBM has unfortunately not been able to capitalize. That's a story for another day. As a market watcher, you can't help but love Larry Ellison. I only met him once at an IDC conference in Paris where I got to interview Scott McNealy, CEO at the time. Ellison is great for analysts because, he's not afraid to talk about the competition. He'll brag, he'll insult, he'll explain, and he'll pitch his stories. Now on the earnings call last night, he went off. Educating the analyst community, on the upside in the fusion ERP business, making the case that because only a thousand of the 7,500 legacy on-prem ERP customers from Oracle, JD Edwards and PeopleSoft have moved Oracle's fusion cloud ERP, and he predicted that Oracle's cloud ERP business will surpass 20 billion in five years. In fact, he said it's going to bigger than that. He slammed the hybrid cloud washing. You can see one of the quotes here in this chart, that's going on when companies have customers running in the cloud and they claim whatever they have on premise hybrid, he called that ridiculous. I would agree. And then he took an opportunity to slam the hyperscale cloud vendors, citing a telco customer that said Oracle's cloud never goes down, and of course, he chose the same week, that AWS had a major outage. And so to these points, I would say that Oracle really was the first tech company, to announce a true hybrid cloud strategy, where you have an entirely identical experience on prem and in the cloud. This was announced with cloud@customer, two years, before AWS announced outposts. Now it probably took Oracle two years to get it working as advertised, but they were first. And to the second point, this is where Oracle differentiates itself. Oracle is number one for mission critical applications. No other vendor really can come close to Oracle in this regard. And I would say that Oracle is recent quarterly performance to a large extent, is due to this differentiated approach. Over the past 10 years, we've talked to hundreds literally. Hundreds and hundreds of Oracle customers. And while they may not always like the tactics and licensing policies of Oracle in their contracting, they will tell you, that business case for investing and staying with Oracle are very strong. And yes, a big part of that is lock-in but R&D investments innovation and a keen sense of market direction, are just as important to these customers. When you're chairman and founder is a technologist and also the CTO, and has the cash on hand to invest, the results are a highly competitive story. Now that's not to say Oracle is not without its challenges. That's not to say Oracle is without its challenges. Those who follow this program know that when it comes to ETR survey data, the story is not always pretty for Oracle. So let's take a look. This chart shows the breakdown of ETR is net score methodology, Net score measures spending momentum and works ETR. Each quarter asks customers, are you adding in the platform, That's the lime green. Increasing spend by 6% or more, that's the fourth green. Is you're spending E+ or minus 5%, that's the gray. You're spending climbing by 6%, that's the pinkish. Or are you leaving the platform, that's the bright red retiring. You subtract the reds from the greens, and that yields a net score, which an Oracle's overall case, is an uninspiring -4%. This is one of the anomalies in the ETR dataset. The net score doesn't track absolute actual levels, of spending the dollars. Remember, as the leader in mission critical workloads, Oracle commands a premium price. And so what happens here is the gray, is still spending a large amount of money, enough to offset the declines, and the greens are spending more than they would on other platforms because Oracle could command higher prices. And so that's how Oracle is able to grow its overall revenue by 6% for example, whereas the ETR methodology, doesn't capture that trend. So you have to dig into the data a bit deeper. We're not going to go too deep today, but let's take a look at how some of Oracle's businesses are performing relative to its competitors. This is a popular view that we like to share. It shows net score or spending momentum on the vertical axis, and market share. Market share is a measure of pervasiveness in the survey. Think of it as mentioned share. That's on the x-axis. And we've broken down and circled Oracle overall, Oracle on prem, which is declining on the vertical axis, Oracle fusion and NetSuite, which are much higher than Oracle overall. And in the case of fusion, much closer to that 40% magic red horizontal line, remember anything above that line, we consider to be elevated. Now we've added SAP overall which has, momentum comparable to fusion in the survey, using this methodology and IBM, which is in between fusion and Oracle, overall on the y-axis. Oracle as you can see on the horizontal axis, has a larger presence than any of these firms that are below the 40% line. Now, above that 40% line, you see companies with a smaller presence in the survey like Workday, salesforce.com, pretty big presence still, Google cloud also, and Snowflake. Smaller presence but much much higher net score than anybody else on this chart. And AWS and Microsoft overall with both a strong presence, and impressive momentum, especially for their respective sizes. Now that view that we just showed you excluded on purpose Oracle specific cloud offering. So let's now take a look at that relative to other cloud providers. This chart shows the same XY view, but it cuts the data by cloud only. And you can see Oracle while still well below the 40% line, has a net score of +15 compared to a -4 overall that we showed you earlier. So here we see two key points. One, despite the convoluted reporting that we talked about earlier, the ETR data supports that Oracle's cloud business has significantly more momentum than Oracle's overall average momentum. And two, while Oracle is smaller and doesn't have the growth of the hyperscale giants, it's cloud is performing noticeably better than IBM's within the ETR survey data. Now a key point Ellison emphasized on the earnings call, was the importance of ERP, and the work that Oracle has done in this space. It lives by this notion of a cloud first mentality. It builds stuff for the cloud and then, would bring it on-prem. And it's been attracting new customers according to the company. He said Oracle has 8,500 fusion ERP customers, and 28,000 NetSuite customers in the cloud. And unlike Microsoft, it hasn't migrated its on-prem install base, to the cloud yet. Meaning these are largely new customers. Now this chart isolates fusion and NetSuite, within a sector ETR calls GPP. The very giant, public and private companies. And this is a bellwether of spending in the ETR dataset. They've gone back and it correlates to performance. So think large public companies, the biggest ones, and also privates big privates like Mars or Cargo or Fidelity. The chart shows the net score breakdown over time for fusion and NetSuite going back to 2019. And you can see, a big uptick as shown in the blue line from the October, 2020 survey. So Oracle has done a good job building and now marketing its cloud ERP to these important customers. Now, the last thing we want to show you is Oracle's performance within industry sectors. On the earnings call, Oracle said that it had a very strong momentum for fusion in financial services and healthcare. And this chart shows the net score for fusion, across each industry sector that ETR tracks, for three survey points. October, 2020, that's the gray bars, July 21, that's the blue bars and October, 2021, the yellow bars. So look it confirms Oracles assertions across the board that they're seeing fusion perform very well including the two verticals that are called out healthcare and banking slash financial services. Now the big question is where does Oracle go from here? Oracle has had a history of looking like it's going to break out, only to hit some bumps in the road. And so investors are likely going to remain a bit cautious and take profits off the table along the way. But since the Barron's article came out, we reported on that earlier this year in February, declaring Oracle a cloud giant, the stock is up more than 50% of course. 16 of those points were from Friday's move upward, but still, Oracle's highly differentiated strategy of integrating hardware and software together, investing in a modern cloud platform and selectively offering services that cater to the hardcore mission critical buyer, these have served the company, its customers and investors as well. From a cloud standpoint, we'd like to see Oracle be more inclusive, and aggressively expand its marketplace and its ecosystem. This would provide both greater optionality for customers, and further establish Oracle as a major cloud player. Indeed, one of the hallmarks of both AWS and Azure is the momentum being created, by their respective ecosystems. As well, we'd like to see more clear confirmation that Oracle's performance is being driven by its investments in technology IE cloud, same same hybrid, and industry features these modern investments, versus a legacy licensed cycles. We are generally encouraged and are reminded, of years ago when Sam Palmisano, he was retiring and leaving as the CEO of IBM. At the time, HP under the direction ironically of Mark Hurd, was the now company, Palmisano was asked, "do you worry about HP?" And he said in fact, "I don't worry about HP. I worry about Oracle because Oracle invests in R&D." And that statement has proven present. What do you think? Has Oracle hit the next inflection point? Let me know. Don't forget these episodes they're all available as podcasts wherever you listen, all you do is search it. Breaking Analysis podcast, check out ETR website at etr.plus. We also publish a full report every week on wikibon.com and siliconANGLE.com. You can get in touch with me on email David.vellante@siliconangle.com, you can DM me @dvellante on Twitter or, comment on our LinkedIn posts. This is Dave Vellante for theCUBE Insights. Powered by ETR. Have a great week everybody. Stay safe, be well, and we'll see you next time. (upbeat music)

Published Date : Dec 10 2021

SUMMARY :

insights from the cube in ETR. and of course, he chose the same week,

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