>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020. Special coverage sponsored by AWS Worldwide Public sector Welcome to the cubes Coverage of AWS 2020. This is specialized programming for the worldwide public sector. I'm Lisa Martin, and I'm joined by Mick Boccaccio, the security advisor at Splunk Met. Welcome to the Q Virtual Oh, >>thank you for having me. It's great to be here. >>So you have a really interesting background that I wanted to share with our audience. You were the first see so in the history of U. S presidential campaigns with Mayor Pete, you were also branch shape of Threat intelligence at the executive office of the President. Tell us something about about your background is so interesting. >>Uh, yeah, those and I'm a gonna Def con and I teach lock picking for funds. Ease working for Mayor Pete A. C. So the campaign was really, really unique opportunity and I'm glad I did it. I'm hoping that, you know, on both sides of the aisle, no matter what your political preference, people realize that security and campaigns can only be married together. That was an incredible experience and worked with Mayor P. And I learned so much about how campaigns work and just the overall political process. And then previous to that being at the White House and a threat intelligence, role of branch chief they're working over the last election, the 2016 election. I think I learned probably more than any one person wants Thio about elections over that time. So, you know, I'm just a security nerd. That kind of fell into those things. And and and here I am and really, really, really just fortunate to have had those experiences. >>Your phone and your email must have been blowing up the last couple of weeks in the wake of the US presidential election, where the word fraud has brought up many times everyday. But election security. When I saw that you were the first, see so for Pete Buddha Judge, that was so recent, I thought, Really, Why? Why are they just now getting folks like yourself? And you are a self described a cybersecurity nerd? Why are they Why were they just recently starting to catch on to this? >>I think it's, uh like security on the campaign and security anywhere else on credit to the Buddha Judge campaign. There is no federal or mandate or anything like that that says your campaign has toe have a security person at the head of it or any standards to implement those security. So you know that the Buddha Judge campaign kind of leaned into it. We wanna be secure. We saw everything that happened in 2016. We don't want that to be us. And I think Mawr campaigns are getting on that plane. Definitely. You know, you saw recently, uh, Trump's campaign, Biden's campaign. They all had a lot of security folks in, and I think it's the normal. Now people realize how important security is. Uh, not only a political campaign, but I guess the political process overall, >>absolutely. We've seen the rise of cyber attacks and threats and threat vectors this year alone, Ransomware occurring. Everyone attack every 11 seconds or so I was reading recently. So give me an other view of what the biggest threats are right now. >>Two elections and I think the election process in general. You know, like I said, I'm just a security nerd. I've just got a weird background and done some really unique things. Eso I always attack the problems like I'm a security nerd and it comes down to, you know that that triumvirate, the people process and technology people need had to have faith in the process. Faith in the technology. You need to have a a clear source to get their information from the process. To me, I think this year, more than previous elections highlighted the lack of a federal uniforms standard for federal elections. State the state. We have different, different standards, and that kind of leads to confusion with people because, hey, my friend in Washington did it this way. But I'm in Texas and we do it this way. And I think that that standard would help a lot in the faith in the system. And then the last part of that. The technology, uh, you know, voting machines campaigns like I mentioned about campaigns. There's nothing that says a campaign has toe have a security person or a security program, and I think those are the kind of standards for, you know, just voting machines. Um, that needs to be a standard across the board. That's uniforms, so people will will have more faith because It's not different from state to state, and it's a uniformed process. >>E think whole country could have benefited from or uniformed processes in 2020. But one of the things that I like I did my first male and fellow this year always loved going and having that in person voting experience and putting on my sticker. And this year I thought in California we got all of our But there was this massive rise in mainland ballots. I mean, think about that and security in terms of getting the public's confidence. What are some of the things that you saw that you think needs to be uniforms going forward >>again? I think it goes back to when When you look at, you know, you voted by mail and I voted absentee and your ballot was due by this date. Um, you know where I live? Voting absentee. It's Dubai. This state needs we received by the state. Andi, I think this year really highlighted the differences between the states, and I'm hoping that election security and again everyone has done a super fantastic job. Um, sister has done incredible. If you're all their efforts for the working with election officials, secretaries of states on both sides of the aisle. It's an incredible work, and I hope it continues. I think the big problem election security is you know, the election is over, so we don't care again until 2022 or 2024. And I think putting something like a federalized standard, whether it be technology or process putting that in place now so that we're not talking about this in two or four years. I'm hoping that moment, um, continues, >>what would your recommendation be from building security programs to culture and awareness? How would you advise that they start? >>So, uh, one of the things that when I was on the Buddha Judge campaign, you know, like I said, we was the first person to do security for a campaign. And a lot of the staffers didn't quite have the background of professional background of work with security person. No, you know why? What I was doing there Eso my hallmark was You know, I'm trying to build a culture heavy on the cult. Um, you got to get people to buy in. I think this year when you look at what What Krebs and siesta and where the team over there have done is really find a way to tell us. Security story and every facet of the election, whether it be the machines themselves, the transporting the votes, counting the votes, how that information gets out to people websites I started like rumor control, which were were amazing amazing efforts. The public private partnerships that were there I had a chance to work with, uh, MJ and Tanya from from AWS some election project. I think everyone has skin in the game. Everyone wants to make it better. And I hope that moment, um, continues. But I think, you know, embracing that there needs to be a centralized, uniformed place, uh, for every state. And I think that would get rid of a lot of confusion >>when you talk about culture and you mentioned specifically called Do you think that people and agencies and politicians are ready to embrace the culture? Is there enough data to support that? This is really serious. We need to embrace this. We need to buy in a You said, um >>I hope right. I don't know what it could take. I'm hoping so after seeing everything you know, being at the White House from that aperture in 2016. Seeing all of that, I would, you know, think right away. Oh, my gosh. 2018, The midterms, We're gonna be on the ball. And that really didn't happen like we thought it would. 2020. We saw a different kind of technical or I guess, not as technical, uh, security problem. And I think I'm kind of shifting from that to the future. People realize. And I think, uh, both sides of the aisle are working towards security programs and security posture. I think there's a lot of people that have bought into the idea. Um, but I think it kind of starts from the top, and I'm hoping it becomes a standard, so there's not really an option. You will do this just for the security and safety of the campaigns and the electoral process. But I do see a lot more people leaning into it, and a lot more resource is available for those people that are >>talk to me about kind of the status of awareness of security. Needing to combat these issues, be able to remediate them, be able to defend against them where our folks in that awareness cycle, >>I think it ebbs and flows like any other process. Any other you know, incident, event. That happens. And from my experience in the info SEC world, normally there's a compromise. There's an incident, a bunch of money gets thrown at it and then we forget about it a year or two later. Um, I think that culture, that awareness comes in when you have folks that would sustain that effort. And again, you know, on the campaign, um, even at the White House, we try to make everyone apart of security. Security is and all the time thing that everyone has a stake in. Um, you know, I can lock down your email at work. I can make sure this system is super super secure, but it's your personal threat model. You know, your personal email account, your personal social media, putting more security on those and being aware of those, I think that's that awareness is growing. And I Seymour folks in the security community just kind of preaching that awareness more and more and something I'm really, really excited about. >>Yeah, the biggest thing I always think when we talk about security is people that were the biggest threat vector and what happened 89 months ago when so many businesses, um, in any, you know, public sector and private went from on site almost maybe 100% on site to 100% remote people suddenly going, I've got to get connected through my home network. Maybe I'm on my own personal device and didn't really have the time of so many distractions to recognize a phishing email just could come in and propagate. So it's that the people challenge e always seems to me like that might be the biggest challenge. Besides, the technology in the process is what do you think >>I again it goes back. I think it's all part of it. I think. People, um, I've >>looked at it >>slightly. Ah, friend of mine made a really good point. Once he was like, Hey, people gonna click on the link in the email. It's just I think 30% of people dio it's just it's just the nature of people after 20 some odd years and info sec, 20 some odd years and security. I think we should have maybe done a better job of making that link safer, to click on, to click on to make it not militias. But again it goes back, Thio being aware, being vigilant and to your point. Since earlier this year, we've seen a tax increase exponentially specifically on remote desktop protocols from Cove. It related themes and scams and, you know, ransomware targeting healthcare systems. I think it's just the world's getting smaller and we're getting more connected digitally. That vigilance is something you kind of have to building your threat model and build into the ecosystem. When we're doing everything, it's just something you know. I quit a lot, too. You've got junk email, your open your mailbox. You got some junk mail in there. You just throw it out. Your email inbox is no different, and just kind of being aware of that a little more than we are now might go a long way. But again, I think security folks want to do a better job of kind of making these things safer because malicious actors aren't going away. >>No, they're definitely not going away that we're seeing the threat surfaces expanding. I think it was Facebook and TIC Tac and Instagram that were hacked in September. And I think it was unsecured cloud database that was the vehicle. But talking about communication because we talk about culture and awareness communication from the top down Thio every level is imperative. How how do we embrace that and actually make it a standard as possible? >>Uh, in my experience, you know, from an analyst to a C So being able to communicate and communicate effectively, it's gonna save your butt, right? It's if you're a security person, you're You're that cyber guy in the back end, something just got hacked or something just got compromised. I need to be able to communicate that effectively to my leadership, who is gonna be non technical people, and then that leadership has to communicate it out to all the folks that need to hear it. I do think this year just going back to our elections, you saw ah lot of rapid communication, whether it was from DHS, whether it was from, you know, public partners, whether was from the team over Facebook or Twitter, you know, it was ah, lot of activity that they detected and put out as soon as they found it on it was communicated clearly, and I thought the messaging was done beautifully. When you look at all the work that you know Microsoft did on the block post that came out, that information is put out as widely as possible on. But I think it just goes back to making sure that the people have access to it whenever they need it, and they know where to get it from. Um, I think a lot of times you have compromised and that information is slow to get out. And you know that DeLay just creates a confusion, so it clearly concisely and find a place for people, could get it >>absolutely. And how do you see some of these challenges spilling over into your role as the security advisor for Splunk? What are some of the things that you're talking with customers about about right now that are really pressing issues? >>I think my Rolex Plunkett's super super weird, because I started earlier in the year, I actually started in February of this year and a month later, like, Hey, I'm hanging out at home, Um, but I do get a chance to talk to ah, lot of organizations about her security posture about what they're doing. Onda about what they're seeing and you know everything. Everybody has their own. Everybody's a special snowflakes so much more special than others. Um, credit to Billy, but people are kind of seeing the same thing. You know, everybody's at home. You're seeing an increase in the attack surface through remote desktop. You're seeing a lot more fishing. You're singing just a lot. People just under computer all the time. Um, Zoom WebEx I've got like, I don't know, a dozen different chat clients on my computer to talk to people. And you're seeing a lot of exploits kind of coming through that because of that, people are more vigilant. People are adopting new technologies and new processes and kind of finding a way to move into a new working model. I see zero trust architecture becoming a big thing because we're all at home. We're not gonna go anywhere. And we're online more than we're not. I think my circadian rhythm went out the window back in July, so all I do is sit on my computer more often than not. And that caused authentication, just, you know, make sure those assets are secure that we're accessing from our our work resource is I think that gets worse and worse or it doesn't. Not worse, rather. But that doesn't go away, no matter what. Your model is >>right. And I agree with you on that circadian rhythm challenge. Uh, last question for you. As we look at one thing, we know this uncertainty that we're living in is going to continue for some time. And there's gonna be some elements of this that air gonna be permanent. We here execs in many industries saying that maybe we're going to keep 30 to 50% of our folks remote forever. And tech companies that air saying Okay, maybe 50% come back in July 2021. As we look at moving into what we all hope will be a glorious 2021 how can businesses prepare now, knowing some amount of this is going to remain permanent? >>It's a really interesting question, and I'll beyond, I think e no, the team here. It's Plunkett's constantly discussions that start having are constantly evaluating, constantly changing. Um, you know, friends in the industry, it's I think businesses and those executives have to be ready to embrace change as it changes. The same thing that the plans we would have made in July are different than the plans we would have made in November and so on. Andi, I think, is having a rough outline of how we want to go. The most important thing, I think, is being realistic with yourself. And, um, what, you need to be effective as an organization. I think, you know, 50% folks going back to the office works in your model. It doesn't, But we might not be able to do that. And I think that constant ability Thio, adjust. Ah, lot of company has kind of been thrown into the fire. I know my backgrounds mostly public sector and the federal. The federal Space has done a tremendous shift like I never well, rarely got to work, uh, vert remotely in my federal career because I did secret squirrel stuff, but like now, the federal space just leaning into it just they don't have an option. And I think once you have that, I don't I don't think you put Pandora back in that box. I think it's just we work. We work remote now. and it's just a new. It's just a way of working. >>Yep. And then that couldn't be more important to embrace, change and and change over and over again. Make. It's been great chatting with you. I'd love to get dig into some of that secret squirrel stuff. I know you probably have to shoot me, so we will go into that. But it's been great having you on the Cube. Thank you for sharing your thoughts on election security. People processes technology, communication. We appreciate it. >>All right. Thanks so much for having me again. >>My pleasure for McClatchy. Oh, I'm Lisa Martin. You're watching the Cube virtual.

>> from New York City. It's Theo Cube covering new relic Future Stack 2019. Brought to you by new relic. >> Welcome back on stupid a minute. This is the cubes coverage here of future stack 2019 new relics. 70 year they're doing the show is the U. S. Show. They actually bring these few locations around the globe, right next door to Grand Central Station and about 600 in attendance. And been really excited to kick off with the number of the users here at the show and happened. Welcome program. First time guests. Another cut. Who is the technical fellow in chief? Architect with Genesis. You been at the event a number of times. You're speaking at the event today, but let's start with Genesis. Customer experience is something that I think a lot of people been hearing about on. That is the product. The Genesis has tell us a little bit about the company itself. Sure. >> Yeah. So, Genesis, uh, brain that Maybe not. Everybody knows, but they certainly transitive Lee know us. We're a customer experience platform. We like to say that we're a technology company, but we power. The experience is about 25 billion customer experiences every year for 11,000 plus customers. About 1000 different countries around the world s So we are all about having a connection between brands and their customers, and we enable that >> s o not only some of the cloud shows. I was an enterprise connect earlier this year and definitely was, you know, something I heard a lot about see Exit really important Not only how customers interact with the brand, but internally how you know we treat the employees and that interaction is something that that is raised up. People are kind of important inside, but we're going to talk too much about the people here. We're gonna talk about the technology as the chief architect of this gives a little bit about what you have your arms around in a responsible for >> sure s o for for me, of the project. Your cloud was the name for for a long time, Genesis Cloud as of yesterday. So we are a public cloud offering as a CX platform and I say platform because we made the transition from just being a product to a platform. In my opinion last year, more than half of our FBI work is actually code we didn't right? So I think people using you as a programmable thing is when you become a platform. So I'm responsible for things like cloud architecture for understanding. Let's say industry trends. What technologies? We're gonna use a lot of eight of us service designed technical vetting, general cat hurting that sort of thing, >> Right? So you said your public cloud, but you said it sits on top of AWS. But it's a platform that your customers can then build on top. >> That's right. That's right. So we like to think of ourselves as C X. As a service. We've had some that use us still like a product all shrink wrapped, ready to go, others that want to extend us either writing their own. You guys writing their own back ends their own integration points. We make all of that possible. >> All right, so I'm expecting you have a bit of an opinion when it comes to that platform, As Lou said with a capital P A, and it's gotta be programmable, it's gonna be open. Tell us what your thoughts about new relic kind of entering, you know, new relic one being they said today the first, and only if their claim of observe ability platform s o give us your thoughts around. >> Absolutely. Yeah. S O. I like to think that we have been using the relic as a platform for awhile, whether they knew it or wanted it or not way have a fairly rigorous continuous delivery pipeline. And we are very big believers in infrastructure is code and develops principles. So for us, the engineering teams don't just own the code that they write, but they own the infrastructure definitions. They even own alert definitions, dashboard configurations. And we push that information directly into the relic as our deployments happen. Live hundreds of times a week around the globe. >> All right, so how do these modern architecture's enable you to run a team? >> I can't imagine trying to manage 350 plus Micro service is in production, which is roughly what we have today over 1000 Lambda Functions way can't improve what we don't measure. Everyone likes to say that, but it's true. I have a little bit of an a p m background from from places past. So I was a firm believer that you need to invest early and observe ability and metrics. So we've been a day one kind of new relic subscriber in the cloud space. Everything from understanding how the infrastructure parts work now to serve earless. It's all been about moving up the value stack like commodity metrics of servers is great and still needed. But transactional information and now trace information is absolutely essential. >> Okay, in the Kino this morning, they walk through their metrics events, logs and traces. Where are you with, you know, these various sources of data and harnessing the value of that. >> So I would say, with fairly early towards the tracing part before new relic headed as a managed thing they had cross at tracing. I'm sure you're familiar with that sort of the prior incarnation of distributed tracing on. We leverage that pretty pretty heavily, but it obviously doesn't have quite the same utility a cz what the new open tracing standards provide s so we do things like having correlation i d. S. That let us tag and follow things around. Now we just get to off load that from our team's being as responsible for it. And now the platform gives it to us. >> Yeah. Glen is open source important to your organization? >> Absolutely. We try Thio, give back some ourselves. In fact, one of the one of the nerd lets the nerd packs that Lou mentioned on stage was one that our team wrote s Oh, yeah, way believe not only that, we need a p i's and programmatic access to do our jobs, but we like toe enable and help other people with the same >> Eric Spence got a shout out on the Maquis note was that the thing that you were talking about it is >> I expect to see us probably released two or three more nerd packs before the end of the year Way, way are eager to do that rather than just investing in all of our own. You I that we had glass over the top of the relic. Now we actually just get to put those components deeper inside of new relic proper. >> Okay, eyes there. Anything else from the announcements this morning that you're looking forward to leveraging? >> So I think there's there's definite changes in the A p M space. You'll hear a little bit more, probably in the deep dives one of the talks I'm having later with not even she will be talking about. Some of those things were definitely interested in that. Open telemetry has some value. Greater Genesis definitely has investments around things like Prometheus and other sorts of monitoring. So if I'm not talking about just the public cloud side of it and other aspects there definitely things we can leverage. >> All right, Glenn gives us share a little bit, if you can. About what? What you're talking about here at the show. So one of >> the big mitts is entity centric. Observe, ability. The idea again that we're not just looking at servers and static infrastructure. We're looking at things that are very ephemeral. We have a lot of dynamics scale on our platform on. We need ways to actually frame what we're looking at at the level of Micro Service's but often level like business applications. So even when we're creating some of these extension points like the one you just mentioned way framed that within the context of a service that does a particular vertical slice on dhe, that's that's kind of where we like to invest. So we like to live. >> Okay, um, you know what's what's on your road map of? You know where you're going with your journey and is there anything that you're looking for? Beyond what was announced today from new relic ER from the ecosystem at large, >> I think there's lots of refinements of what was announced today that will help us theeighty I ops side, I think not just for noise reduction, but also for like, early early signal detection. It's a pretty fascinating space. Will likely invest some of our own dollars in times trying to help that along. Definitely Ah, lot of distributed tracing and Maur investment. There is a big piece for us. I think the A PM space. There are areas that I'd like to see a peon vendors invest in that goes beyond what now, I guess, is becoming more, more traditional, like transaction information. We have a lot of a i machine learning ourselves, and I think monitoring those types of workloads is going to be very different. As big of a paradigm shift as it was to go from classic monitoring Transactional. I think we're about to see that happen again in the >> industry. Yeah. What can you share some of the kind of the A I journey that you're going through a genesis where you are, You know what the maturity level is of solutions that you're using and >> sure way have a fairly robust aye aye team on products range from in the W m space back to the people that you mentioned at the first part of the talk way have workforce optimization, workforce management, and we brought a I algorithms to that a lot of time. Siri's forecasting that used certain machine learning techniques. We've invested a fair amount in until you and Opie any are so everything from sentiment detection to live transcription that we built in house to our own body engines that d'oh the new dialogue management. So we have a fairly robust bit there and some on the management side on the operational back in that we used to try to improve our quality of service on reduced any sort of incidents on the platform. >> All right, it's your third year. Third time coming to this show was what brings you back? What you excited about? I kind of dig in and take away from the event this year. >> I think the relics always been a partner in my stance, not just a vendor we believe so deeply in the observe ability message that one I want to be part of shaping that narrative. Eso coming to future sack actually talking to a lot of other executives, seeing where they're going and kind of sharing that use case, but also trying to be a little bit of a lighthouse. Thio, the new relic team as well, is what brings me back every year. >> Observe ability is something that it hurt. A number of startups talking about in the last couple of years were, in your opinion, does new Rolex it compared to the marketplace overall, obviously, they just kind of announced the observe ability, you know, full suite with new relic one. But you know what your viewpoint is? Toe have their wealth, their position? >> Where did I think their position? I think they are best of breed for what we're currently seeing. Owners of ability. There are other things, I think, where we could cobble together bits from multiple vendors but frankly, having application performance monitoring along with infrastructure, along with data being cold from the cloud platforms that we're all in, like, eight of us. They've got a unique place. I think the power of their agent technology has proven itself over time as well. My guidance to most other other companies that I speak with about this subject is don't just trust that it's all magic invest on. And I think they make themselves easy to invest in on. I think this platform play is a good one for them. >> All right. Well, another cut. Thank you so much for joining us. Sharing your journey, What we're doing in the best of luck on your presentation today. Thank you, sir. All right. Be back with lots more coverage here from a new relic. Future stack 2019. I'm still Minutemen. And thank you for watching the Cube.

>> Announcer: From Denver, Colorado, it's theCUBE, covering Super Computing 17. Brought to you by Intel. (soft electronic music) Hey, welcome back, everybody. Jeff Frick here with theCUBE. We're gettin' towards the end of the day here at Super Computing 2017 in Denver, Colorado. 12,000 people talkin' really about the outer limits of what you can do with compute power and lookin' out into the universe and black holes and all kinds of exciting stuff. We're kind of bringin' it back, right? We're all about democratization of technology for people to solve real problems. We're really excited to have our last guest of the day, bringin' the energy, Armughan Ahmad. He's SVP and GM, Hybrid Cloud and Ready Solutions for Dell EMC, and a many-time CUBE alumni. Armughan, great to see you. >> Yeah, good to see you, Jeff. So, first off, just impressions of the show. 12,000 people, we had no idea. We've never been to this show before. This is great. >> This is a show that has been around. If you know the history of the show, this was an IEEE engineering show, that actually turned into high-performance computing around research-based analytics and other things that came out of it. But, it's just grown. We're seeing now, yesterday the super computing top petaflops were released here. So, it's fascinating. You have some of the brightest minds in the world that actually come to this event. 12,000 of them. >> Yeah, and Dell EMC is here in force, so a lot of announcements, a lot of excitement. What are you guys excited about participating in this type of show? >> Yeah, Jeff, so when we come to an event like this, HBC-- We know that HBC is also evolved from your traditional HBC, which was around modeling and simulation, and how it started from engineering to then clusters. It's now evolving more towards machine learning, deep learning, and artificial intelligence. So, what we announced here-- Yesterday, our press release went out. It was really related to how our strategy of advancing HBC, but also democratizing HBC's working. So, on the advancing, on the HBC side, the top 500 super computing list came out. We're powering some of the top 500 of those. One big one is TAC, which is Texas Institute out of UT, University of Texas. They now have, I believe, the number 12 spot in the top 500 super computers in the world, running an 8.2 petaflops off computing. >> So, a lot of zeros. I have no idea what a petaflop is. >> It's very, very big. It's very big. It's available for machine learning, but also eventually going to be available for deep learning. But, more importantly, we're also moving towards democratizing HBC because we feel that democratizing is also very important, where HBC should not only be for the research and the academia, but it should also be focused towards the manufacturing customers, the financial customers, our commercial customers, so that they can actually take the complexity of HBC out, and that's where our-- We call it our HBC 2.0 strategy, off learning from the advancements that we continue to drive, to then also democratizing it for our customers. >> It's interesting, I think, back to the old days of Intel microprocessors getting better and better and better, and you had Spark and you had Silicon Graphics, and these things that were way better. This huge differentiation. But, the Intel I32 just kept pluggin' along and it really begs the question, where is the distinction now? You have huge clusters of computers you can put together with virtualization. Where is the difference between just a really big cluster and HBC and super computing? >> So, I think, if you look at HBC, HBC is also evolving, so let's look at the customer view, right? So, the other part of our announcement here was artificial intelligence, which is really, what is artificial intelligence? It's, if you look at a customer retailer, a retailer has-- They start with data, for example. You buy beer and chips at J's Retailer, for example. You come in and do that, you usually used to run a SEQUEL database or you used to run a RDBMS database, and then that would basically tell you, these are the people who can purchase from me. You know their purchase history. But, then you evolved into BI, and then if that data got really, very large, you then had an HBC cluster, would which basically analyze a lot of that data for you, and show you trends and things. That would then tell you, you know what, these are my customers, this is how many times they are frequent. But, now it's moving more towards machine learning and deep learning as well. So, as the data gets larger and larger, we're seeing datas becoming larger, not just by social media, but your traditional computational frameworks, your traditional applications and others. We're finding that data is also growing at the edge, so by 2020, about 20 billion devices are going to wake up at the edge and start generating data. So, now, Internet data is going to look very small over the next three, four years, as the edge data comes up. So, you actually need to now start thinking of machine learning and deep learning a lot more. So, you asked the question, how do you see that evolving? So, you see an RDBMS traditional SQL evolving to BI. BI then evolves into either an HBC or hadoop. Then, from HBC and hadoop, what do you do next? What you do next is you start to now feed predictive analytics into machine learning kind of solutions, and then once those predictive analytics are there, then you really, truly start thinking about the full deep learning frameworks. >> Right, well and clearly like the data in motion. I think it's funny, we used to make decisions on a sample of data in the past. Now, we have the opportunity to take all the data in real time and make those decisions with Kafka and Spark and Flink and all these crazy systems that are comin' to play. Makes Hadoop look ancient, tired, and yesterday, right? But, it's still valid, right? >> A lot of customers are still paying. Customers are using it, and that's where we feel we need to simplify the complex for our customers. That's why we announced our Machine Learning Ready Bundle and our Deep Learning Ready Bundle. We announced it with Intel and Nvidia together, because we feel like our customers either go to the GPU route, which is your accelerator's route. We announced-- You were talking to Ravi, from our server team, earlier, where he talked about the C4140, which has the quad GPU power, and it's perfect for deep learning. But, with Intel, we've also worked on the same, where we worked on the AI software with Intel. Why are we doing all of this? We're saying that if you thought that RDBMS was difficult, and if you thought that building a hadoop cluster or HBC was a little challenging and time consuming, as the customers move to machine learning and deep learning, you now have to think about the whole stack. So, let me explain the stack to you. You think of a compute storage and network stack, then you think of-- The whole eternity. Yeah, that's right, the whole eternity of our data center. Then you talk about our-- These frameworks, like Theano, Caffe, TensorFlow, right? These are new frameworks. They are machine learning and deep learning frameworks. They're open source and others. Then you go to libraries. Then you go to accelerators, which accelerators you choose, then you go to your operating systems. Now, you haven't even talked about your use case. Retail use case or genomic sequencing use case. All you're trying to do is now figure out TensorFlow works with this accelerator or does not work with this accelerator. Or, does Caffe and Theano work with this operating system or not? And, that is a complexity that is way more complex. So, that's where we felt that we really needed to launch these new solutions, and we prelaunched them here at Super Computing, because we feel the evolution of HBC towards AI is happening. We're going to start shipping these Ready Bundles for machine learning and deep learning in first half of 2018. >> So, that's what the Ready Solutions are? You're basically putting the solution together for the client, then they can start-- You work together to build the application to fix whatever it is they're trying to do. >> That's exactly it. But, not just fix it. It's an outcome. So, I'm going to go back to the retailer. So, if you are the CEO of the biggest retailer and you are saying, hey, I just don't want to know who buys from me, I want to now do predictive analytics, which is who buys chips and beer, but who can I sell more things to, right? So, you now start thinking about demographic data. You start thinking about payroll data and other datas that surround-- You start feeding that data into it, so your machine now starts to learn a lot more of those frameworks, and then can actually give you predictive analytics. But, imagine a day where you actually-- The machine or the deep learning AI actually tells you that it's not just who you want to sell chips and beer to, it's who's going to buy the 4k TV? You're makin' a lot of presumptions. Well, there you go, and the 4k-- But, I'm glad you're doin' the 4k TV. So, that's important, right? That is where our customers need to understand how predictive analytics are going to move towards cognitive analytics. So, this is complex but we're trying to make that complex simple with these Ready Solutions from machine learning and deep learning. >> So, I want to just get your take on-- You've kind of talked about these three things a couple times, how you delineate between AI, machine learning, and deep learning. >> So, as I said, there is an evolution. I don't think a customer can achieve artificial intelligence unless they go through the whole crawl walk around space. There's no shortcuts there, right? What do you do? So, if you think about, Mastercard is a great customer of ours. They do an incredible amount of transactions per day, (laughs) as you can think, right? In millions. They want to do facial recognitions at kiosks, or they're looking at different policies based on your buying behavior-- That, hey, Jeff doesn't buy $20,000 Rolexes every year. Maybe once every week, you know, (laughs) it just depends how your mood is. I was in the Emirates. Exactly, you were in Dubai (laughs). Then, you think about his credit card is being used where? And, based on your behaviors that's important. Now, think about, even for Mastercard, they have traditional RDBMS databases. They went to BI. They have high-performance computing clusters. Then, they developed the hadoop cluster. So, what we did with them, we said okay. All that is good. That data that has been generated for you through customers and through internal IT organizations, those things are all very important. But, at the same time, now you need to start going through this data and start analyzing this data for predictive analytics. So, they had 1.2 million policies, for example, that they had to crunch. Now, think about 1.2 million policies that they had to say-- In which they had to take decisions on. That they had to take decisions on. One of the policies could be, hey, does Jeff go to Dubai to buy a Rolex or not? Or, does Jeff do these other patterns, or is Armughan taking his card and having a field day with it? So, those are policies that they feed into machine learning frameworks, and then machine learning actually gives you patterns that they can now see what your behavior is. Then, based on that, eventually deep learning is when they move to next. Deep learning now not only you actually talk about your behavior patterns on the credit card, but your entire other life data starts to-- Starts to also come into that. Then, now, you're actually talking about something before, that's for catching a fraud, you can actually be a lot more predictive about it and cognitive about it. So, that's where we feel that our Ready Solutions around machine learning and deep learning are really geared towards, so taking HBC to then democratizing it, advancing it, and then now helping our customers move towards machine learning and deep learning, 'cause these buzzwords of AIs are out there. If you're a financial institution and you're trying to figure out, who is that customer who's going to buy the next mortgage from you? Or, who are you going to lend to next? You want the machine and others to tell you this, not to take over your life, but to actually help you make these decisions so that your bottom line can go up along with your top line. Revenue and margins are important to every customer. >> It's amazing on the credit card example, because people get so pissed if there's a false positive. With the amount of effort that they've put into keep you from making fraudulent transactions, and if your credit card ever gets denied, people go bananas, right? The behavior just is amazing. But, I want to ask you-- We're comin' to the end of 2017, which is hard to believe. Things are rolling at Dell EMC. Michael Dell, ever since he took that thing private, you could see the sparkle in his eye. We got him on a CUBE interview a few years back. A year from now, 2018. What are we going to talk about? What are your top priorities for 2018? >> So, number one, Michael continues to talk about that our vision is advancing human progress through technology, right? That's our vision. We want to get there. But, at the same time we know that we have to drive IT transformation, we have to drive workforce transformation, we have to drive digital transformation, and we have to drive security transformation. All those things are important because lots of customers-- I mean, Jeff, do you know like 75% of the S&P 500 companies will not exist by 2027 because they're either not going to be able to make that shift from Blockbuster to Netflix, or Uber taxi-- It's happened to our friends at GE over the last little while. >> You can think about any customer-- That's what Michael did. Michael actually disrupted Dell with Dell technologies and the acquisition of EMC and Pivotal and VMWare. In a year from now, our strategy is really about edge to core to the cloud. We think the world is going to be all three, because the rise of 20 billion devices at the edge is going to require new computational frameworks. But, at the same time, people are going to bring them into the core, and then cloud will still exist. But, a lot of times-- Let me ask you, if you were driving an autonomous vehicle, do you want that data-- I'm an Edge guy. I know where you're going with this. It's not going to go, right? You want it at the edge, because data gravity is important. That's where we're going, so it's going to be huge. We feel data gravity is going to be big. We think core is going to be big. We think cloud's going to be big. And we really want to play in all three of those areas. >> That's when the speed of light is just too damn slow, in the car example. You don't want to send it to the data center and back. You don't want to send it to the data center, you want those decisions to be made at the edge. Your manufacturing floor needs to make the decision at the edge as well. You don't want a lot of that data going back to the cloud. All right, Armughan, thanks for bringing the energy to wrap up our day, and it's great to see you as always. Always good to see you guys, thank you. >> All right, this is Armughan, I'm Jeff Frick. You're watching theCUBE from Super Computing Summit 2017. Thanks for watching. We'll see you next time. (soft electronic music)