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Blake Scholl, Boom Supersonic | AWS re:Invent 2020


 

>>From around the globe. It's the cube with digital coverage of AWS reinvent 2020 sponsored by Intel and AWS. >>Welcome back to the cubes coverage of AWS reinvent 2020 live I'm Lisa Martin. Really exciting topic coming up for you next, please. Welcome Blake shoulda, founder and CEO of boom supersonic Blake. It's great to have you on the program. Thank you for having me, Lisa, and your background gives me all the way with what we're going to talk about in the next few minutes or so, but supersonic flight has existed for quite a long time, like 50 or so years. I think those of us in certain generations remember the Concorde for example, but the technology to make it efficient and mainstream is only recently been approved by or accepted by regulators. Tell us a little bit about boom, your mission to make the world more accessible with supersonic commercial flight. Well, a supersonic flight has >> actually been around since 1949 when Chuck Yeager broke the speed barrier or sorry, the sound barrier. >>And as, as many of you know, he actually passed yesterday, uh, 97. So very, very sad to see one of the supersonic pioneers behind us. Uh, but, uh, but as I say goodbye to Jaeger, a new era of supersonic flight is here. And if you look at the history of progress and transportation, since the Dawn of the industrial revolution, uh, we used to make regular progress and speed. As we went from, uh, the horse to the iron horse, to the, the boats, to the, the early propeller airplanes that have the jet age. And what happened was every time we made transportation faster, instead of spending less time traveling, we actually spent more time traveling because there were more places to go, more people to meet. Uh, we haven't had a world war since the Dawn of the jet age. Uh, places like Hawaii have become, uh, a major tourist destination. >>Uh, but today, uh, today it's been 60 years since we've had a mainstream re uh, step forward and speed. So what we're doing here at boom is picking up where Concord left off building an aircraft that flies faster by factor to the, anything you can get a ticket on today. And yet is 75% more affordable than Concorde was. So we want to make Australia as accessible as a why yesterday. We want to enable you to cross the Atlantic, do business, be home in time, detect your kids into bed, or take a three-day business trip to Asia and let you do it in just 24 >> hours. I like the sound of all of that. Even getting on a plane right now in general. I think we all do so, so interesting that you, you want to make this more accessible. And I did see the news about Chuck Yeager last night. >>Um, designing though the first supersonic airliner overture, it's called in decades, as you said, this dates back 60 years, rolling it out goal is to roll it out in 2025 and flying more than 500 trans oceanic routes. Talk to me about how you're leveraging technology and AWS to help facilitate that. Right. Well, so one of the really fascinating things is the new generation of airplanes, uh, are getting born in the cloud and then they're going to go fly through actual clouds. And so there are, there are a bunch of revolutions in technology that have happened since Concord's time that are enabling what we're doing now, their breakthroughs and materials. We've gone from aluminum to carbon fiber they're breakthroughs and engines. We've gone from after burning turbo jets that are loud and inefficient to quiet, clean, efficient turbo fans. But one of the most interesting breakthroughs has been in a available to do design digitally and iteration digitally versus, uh, versus physically. >>So when conquer was designed as an example, they were only able to do about a dozen wind tunnel tests because they were so expensive. And so time consuming and on, uh, on our XP one aircraft, which is our prototype that rolled out in October. Um, uh, we did hundreds of iterations of the design in virtual wind tunnels, where we could spin up a, uh, a simulation and HPC cluster in AWS, often more than 500 cores. And then we'd have our airplanes flying through virtual wind tunnels, thousands of flights scenarios you can figure out which were the losers, which were the winners keep iterating on the winners. And you arrive at an aerodynamic design that is more efficient at high speed. We're going very safely, very quickly in a straight line, but also a very smooth controllable for safe takeoff and landing. And the part of the artist supersonic airplane design is to accomplish both of those things. One, one airplane, and, uh, being able to design in the cloud, the cloud allows us to start up to do what previously only governments and militaries could do. I mentioned we rolled out our XP one prototype in October. That's the first time anyone has rolled out a supersonic civil aircraft since the Soviet union did it in 1968. And we're able to do as a startup because of computing. >>That's incredible born in the cloud to fly in the cloud. So talk to me about a lot of, of opportunity that technology has really accelerated. And we've seen a lot of acceleration this year in particular digital transformation businesses that if they haven't pivoted are probably in some challenging waters. So talk to us about how you're going all in with AWS to facilitate all these things that you just mentioned, which has dramatic change over 12, uh, when tone test for the Concord and how many times did it, >>Uh, I mean for 27 years, but not that many flights, never, it never changed the way mainstream, uh, never, never district some of you and I fly. Right. Um, so, so how, how are we going all in? So we've, you know, we've been using AWS for, uh, you know, basically since the founding of the company. Uh, but what we, what we're doing now is taking things that we were doing outside of the cloud and cloud. Uh, as an example, uh, we have 525 terabytes of XP one design and test data that what used to be backed up offsite. Um, and, and what we're doing is migrating into the cloud. And then your data is next. Your compute, you can start to do these really interesting things as an example, uh, you can run machine learning models to calibrate your simulations to your wind tunnel results, which accelerates convergence allows you to run more iterations even faster, and ultimately come up with a more efficient airplane, which means it's going to be more affordable for all of us to go to go break the sound barrier. >>And that sounds like kind of one of the biggest differences that you just said is that it wasn't built for mainstream before. Now, it's going to be accessibility affordability as well. So how are you going to be leveraging the cloud, you know, design manufacturing, but also other areas like the beyond onboard experience, which I'm already really excited to be participating in in the next few years. >>Yeah. So there's so many, so many examples. We've talked about design a little bit already. Uh, it's going to manifest in the manufacturing process, uh, where the, the, the, the, the supply chain, uh, will be totally digital. The factory operations will be run out of the cloud. You know, so what that means concretely is, uh, you know, literally there'll be like a million parts of this airplane. And for any given unit goes through their production line, you'll instantly know where they all are. Um, you'll know which serial numbers went on, which airplanes, uh, you'll understand, uh, if there was a problem with one of it, how you fixed it. And as you continue to iterate and refine the airplane, this, this is one of things that's actually a big deal, uh, with, with digital in the cloud is, you know, exactly what design iteration went into, exactly which airplane and, uh, and that allows you to actually iterate faster and any given airline with any given airplane will actually know exactly what, what airplane they have, but the next one that rolls off the line might be even a little bit better. >>And so it allows you to keep track of all of that. It allows you to iterate faster, uh, it allows you to spot bottlenecks in your supply chain before they impact production. Um, and then it allows you to, uh, to do preventive maintenance later. So there's to be digital interpretation all over the airplane, it's going to update the cloud on, you know, uh, are the engines running expected temperature. So I'm gonna run a little bit hot, is something vibrating more than it should vibrate. And so you catch these things way before there's any kind of real maintenance issue. You flag it in the cloud. The next time the airplane lands, there's a tech waiting for the airplane with whatever the part is and able to install it. And you don't have any downtime, and you're never anywhere close to a safety issue. You're able to do a lot more preventively versus what you can do today. >>Wow. So you have to say that you're going to be able to, to have a hundred percent visibility into manufacturing design, everything is kind of an understatement, but you launched XQ on your prototype in October. So during the pandemic, as I mentioned, we've been talking for months now on the virtual cube about the acceleration of digital transformation. Andy, Jassy talked about it in his keynote at AWS reinventing, reinventing this year, virtual, what were some of the, the, the advantages that you got, being able to stay on track and imagine if you were on track to launch in October during a time that has been so chaotic, uh, everywhere else, including air travel. >>Well, some of it's very analog, uh, and some of it's very digital. So to start with the analog, uh, we took COVID really seriously at Bo. Uh, we went into that, the pandemic first hit, we shut the company down for a couple of weeks, so we'd kind of get our feet underneath of us. And then we sort of testing, uh, everyone who had to work on the airplane every 14 days, we were religious about wearing masks. And as a result, we haven't had anyone catch COVID within the office. Um, and I'm super proud that we're able to stay productive and stay safe during the pandemic. Um, and you do that, but kind of taking it seriously, doing common sense things. And then there's the digital effort. And, uh, and so, you know, part of the company runs digitally. What we're able to do is when there's kind of a higher alert level, we go a little bit more digital when there's a lower alert level. >>Uh, we have more people in the office cause we, we still really do value that in-person collaboration and which brings it back through to a bigger point. It's been predicted for a long time, that the advent of digital communication is going to cause us not to need to travel. And, uh, what we've seen, you know, since the Dawn of the telephone is that it's actually been the opposite. The more you can know, somebody even a little bit, uh, at distance, the hungry you are to go see them in person, whether it's a business contact or someone you're in love with, um, no matter what it is, there's still that appetite to be there in person. And so I think what we're seeing with the digitization of communication is ultimately going to be very, um, uh, it's very complimentary with supersonic because you can get to know somebody a little bit over a long distance. You can have some kinds of exchanges and then you're, and then the friction for be able to see them in person is going to drop. And that is, uh, that's a wonderful combination. >>I think everybody on the planet welcomes that for sure, given what we've all experienced in the last year, you can have a lot of conversations by zoom. Obviously this was one of them, but there is to your point, something about that in-person collaboration that really takes things can anyway, to the next level. I am curious. So you launched XB one in October, as I mentioned a minute ago, and I think I read from one of your press releases planning to launch in 2025, the overture with over 500 trans oceanic routes. What can we expect from boom and the next year or two, are you on track for that 2025? >>Yeah. Things are going, things are going great. Uh, so to give a sense of what the next few years hold. So we rolled out the assembled XB one aircraft this year, uh, next year that's going to fly. And so that will be the first civil supersonic, uh, flying aircraft ever built by an independent company. Uh, and along the way, we are building the foundation of overture. So that design efforts happening now as XB one is breaking the sound barrier. We'll be finalizing the overture design in 22, we'll break ground in the factory in 23, we'll start building the first airplane and 25, we'll roll it out. And 26 we'll start flight tests. And, uh, and then we'll go through the flight test methodically, uh, systematically as carefully as we can, uh, and then be ready to carry passengers as soon as we are convinced that safe, which will be right around the end of the decade, most likely. >>Okay. Exciting. And so it sounds like you talked about the safety protocols that you guys put in place in the office, which is great. It's great to hear that, but also that this, this time hasn't derailed because you have the massive capabilities of, to be able to do all of the work that's necessary, way more than was done with before with the Concorde. And that you can do that remotely with cloud is a big facilitator of that communication. >>Yeah. You're able to do the cloud enables a lot of computational efficiencies. And I think about the, um, many times projects are not measured in how many months or years exactly does it take you to get done, but it's actually much easier to think about in terms of number of iterations. And so every time we do an airplane iteration, we look at the aerodynamics high speed. We look at the low speed. We look at the engine, uh, we look at the, the weights. Uh, we look at stability and control. We look at pilots, light aside, et cetera, et cetera. And every time you do an iteration, you're kind of looking around all of those and saying, what can I make better? But each one of those, uh, lines up a little bit differently with the rest now, for example, uh, uh, to get the best airplane aerodynamically, doesn't have a good view for the pilot. >>And that's why Concord had that droop nose famously get the nose out of the way so we can see the runway. And so we're able to do digital systems for virtual vision to let the pilot kind of look through the nose of the runway. But even then they're, trade-offs like, how, how good of an actual window do you need? And so your ability to make progress in all of this is proportional to how quickly you can make it around that, that iteration loop, that design cycle loop. And that's, that's part of where the cloud helps us. And we've, we've got some, uh, uh, some stuff we've built in house that runs on the cloud that lets you basically press a button with a whole set of airplane parameters. And bam, it gives you a, it gives you an instant report. I'm like, Oh, was it that this is a good change or bad change, uh, based on running some pretty high fidelity simulations with a very high degree of automation. And you can actually do many of those in parallel. And so it's about, you know, at this stage of the program, it's about accelerating, accelerating your design iterations, uh, giving everyone of the team visibility into those. And then, uh, I think you get together in person as it makes sense to now we're actually hitting a major design milestone with over-treat this week and we're, COVID testing everybody and get them all in the same room. Cause sometimes that in-person collaboration, uh, is really significant, even though you can still do so much digitally. >>I totally agree. There's there's certain things that you just can't replicate. Last question since my brother is a pilot for Southwest and retired Lieutenant Colonel from the air force, any special training that pilots will have to have, or are there certain pilots that are going to be maybe lower hanging fruit, if they have military experience versus commercial flight? Just curious. >>Yeah. So our XB one aircraft is being flown by test pilots. There's one ex Navy one ex air force on our crew, but, uh, overture, uh, will be accessible to any commercial pilot. So, uh, think about it as if you're, if you're used to flying Boeing, it'd be like switching to Airbus, uh, or vice versa. So the, uh, Concord is a complicated aircraft to fly because they didn't have computers. And all the complexity, the soup of supersonic flight was right there and the pilots and an overture, all that gets extracted by software. And, uh, you know, the, the, the ways the flight controls change over speed regimes. You don't have to worry about it, but the airplane is handled beautifully, no matter what you're doing. And so, uh, and so there are many, many places to innovate, but actually pilot experience, not one of them, >>Because the more conventional you can make it for people like your brother, the easier it's going to be for them to learn the aircraft. And therefore the safer it's going to be to fly. I'll let them know, like this has been fantastic, really exciting to see what boom supersonic is doing and the opportunities to make supersonic travel accessible. And I think at a time when everybody wants the world to open up, so by 20, 26, I'm going to be looking for my ticket. Awesome. Can't wait to have you on board. Likewise for Blake shul, I'm Lisa Martin. You're watching the QS live coverage of AWS reinvent 2020.

Published Date : Dec 9 2020

SUMMARY :

It's the cube with digital coverage of AWS It's great to have you on the program. the sound barrier. And as, as many of you know, he actually passed yesterday, uh, 97. We want to enable you to cross the Atlantic, And I did see the news about Chuck Yeager last night. And so there are, there are a bunch of revolutions in technology that have happened since Concord's time that And you arrive at an aerodynamic design that is more That's incredible born in the cloud to fly in the cloud. as an example, uh, you can run machine learning models to calibrate your simulations And that sounds like kind of one of the biggest differences that you just said is that it wasn't built for mainstream before. And as you continue to iterate all over the airplane, it's going to update the cloud on, you know, uh, are the engines running expected temperature. that you got, being able to stay on track and imagine if you were on track to launch in October And, uh, and so, you know, part of the company runs digitally. uh, what we've seen, you know, since the Dawn of the telephone is that it's actually the last year, you can have a lot of conversations by zoom. Uh, and along the way, we are building the foundation of overture. And that you can do that remotely with cloud is a big facilitator of that communication. And every time you do an iteration, you're kind of looking around all of those And then, uh, I think you get together in person as There's there's certain things that you just can't replicate. And, uh, you know, the, the, the ways the flight controls change over Because the more conventional you can make it for people like your brother, the easier it's going to be for them to learn

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Pete Ungaro & Addison Snell


 

>> Announcer: From around the globe it's theCUBE with digital coverage of HPE GreenLake Day made possible by Hewlett Packard Enterprise. >> Welcome everybody to this spotlight session here at GreenLake Day and we're going to dig into high-performance computing. Let me first bring in Pete Ungaro who's the GM for HPC and Mission Critical Solutions at Hewlett Packard Enterprise. And then we're going to pivot to Addison Snell, who's the CEO of research firm Intersect360. So Pete started with you welcome and really a pleasure to have you here. I want to first start off by asking you what are the key trends that you see in the HPC and super computing space. And I really appreciate if you could talk about how customer consumption patterns are changing. >> Yeah, appreciate that Dave and thanks for having me. I think the biggest thing that we're seeing is just the massive growth of data. And as we get larger and larger data sets larger and larger models happen and we're having more and more new ways to compute on that data. So new algorithms like AI would be a great example of that. And as people are starting to see this, especially as they're going through digital transformations, more and more people I believe can take advantage of HPC but maybe don't know how and don't know how to get started. And so they're looking for how to get going into this environment. And many customers that are long-time HPC customers just consume it on their own data centers, they have that capability but many don't. And so they're looking at how can I do this? Do I need to build up that capability myself? Do I go to the Cloud? What about my data and where that resides? So there's a lot of things that are going into thinking through how do I start to take advantage of this new infrastructure? >> Excellent, I mean, we all know HPC workloads. You're talking about fording research and discovery for some of the toughest and most complex problems particularly those that are affecting society. So I'm interested in your thoughts on how you see GreenLake helping in these endeavors specifically. >> Yeah, one of the most exciting things about HPC is just the impact that it has. Everywhere from building safer cars and airplanes to looking at climate change to finding new vaccines for things like COVID that we're all dealing with right now. So one of the biggest things is how do we take advantage of that and use that to benefit society overall. And as we think about implementing HPC, how do we get started and then how do we grow and scale as we get more and more capabilities. So that's the biggest things that we're seeing on that front. >> Yeah, okay, so just about a year ago you guys launched the GreenLake initiative and the whole complete focus on as a service. So I'm curious as to how the new GreenLake services the HPC services specifically as it relates to GreenLake, how do they fit into HP's overall high-performance computing portfolio and the strategy? >> Yeah, great question. GreenLake is a new consumption model for us. So it's a very exciting. We keep our entire HPC portfolio that we have today but extend it with GreenLake and offer customers expanded consumption choices. So customers that potentially are dealing with the growth of their data or they're moving to digital transformation applications, they can use GreenLake just easily scale up from workstations to manage their system costs or operational costs or if they don't have staff to expand their environment, GreenLake provides all of that in a managed infrastructure for them. So if they're going from like a pilot environment, I've been to a production environment over time, GreenLake enables them to do that very simply and easily without having to have all that internal infrastructure people, computer data centers, et cetera, GreenLake provides all that for them. So they can have a turnkey solution for HPC. >> So a lot easier entry strategy is a key word that you use there was choice though. So basically you're providing optionality, you're not necessarily forcing them into a particular model, is that correct? >> Yeah, 100% Dave. What we want to do is just expand the choices so customers can buy and acquire and use that technology to their advantages. Whether they're large or small, whether they're a startup or a fortune 500 company, whether they have their own data centers or they want to use a colo facility, whether they have their own staff or not. We want to just provide them the opportunity to take advantage of this leading edge resource. >> Very interesting, Pete, I really appreciate the perspectives that you guys are bringing to the market. I mean, it seems to me it's going to really accelerate broader adoption of high-performance computing to the masses, really giving them an easier entry point. I want to bring in now Addison Snell to the discussion. Addison, he's a CEO, as I said of Intersect360 which in my view is the world's leading market research company focused on HPC. Addison you've been following this space for a while. You're an expert, you've seen a lot of changes over the years. What do you see as the critical aspects in the market specifically as it relates toward this as a service delivery that we were just discussing with Pete? And I wonder if you could sort of work in there the benefits in terms of in your view how it's going to affect HPC usage broadly. >> Yeah, good morning Dave, and thanks very much for having me. Pete it's great to see you again. So we've been tracking a lot of these utility computing models in high-performance computing for years. Particularly as most of the usage by revenue is actually by commercial endeavors using high-performance computing for their R and D and engineering projects and the like. And cloud computing has been a major portion of that and has the highest growth rate in the market right now where we're seeing this double digit growth that accounted for about $1.4 billion of the high-performance computing industry last year. But the bigger trend and which makes GreenLake really interesting is that we saw an additional about a billion dollars worth of spending outside what was directly measured in the cloud portion of the market in areas that we deemed to be cloud-like which were as a service types of contracts that were still utility computing, but they might be under a software as a service portion of a budget under software or some other managed services type of contract that the user wasn't reporting directly as cloud but was certainly influenced by utility computing. And I think that's going to be a really dominant portion of the market going forward when we look at a growth rate and where the market's been evolving. >> So that's interesting. I mean, basically you're saying this utility model is not brand new, we've seen that for years. Cloud was obviously a catalyst that gave that a boost. What is new you're saying is, and I'll say it this way. I'd love to get your independent perspective on this is sort of the definition of cloud is expanding where we people always say, it's not a place, it's an experience and I couldn't agree more. But I wonder if you could give us your independent perspective on that, both on the thoughts of what I just said but also how would you rate HPE position in this market? >> Well, you're right absolutely that the definition of cloud is expanding. And that's a challenge when we run our surveys that we try to be pedantic in a sense and define exactly what we're talking about. And that's how we're able to measure both the direct usage of a typical public cloud but also a more flexible notion of as a service. Now you asked about HPE in particular and that's extremely relevant, not only with GreenLake, but with their broader presence in high-performance computing. HPE is the number one provider of systems for high-performance computing worldwide. And that's largely based on the breadth of HPE's offerings in addition to their performance at various segments. So picking up a lot of the commercial market with our HPE Apollo Gen10 plus, they hit a lot of big memory configurations with the Superdome Flex and scale up to some of the most powerful supercomputers in the world with the HPE Cray EX platforms that go into some of the leading national labs. Now GreenLake gives them an opportunity to offer this kind of flexibility to customers rather than committing all at once to a particular purchase price. But if you want to do position those on a utility computing basis, pay for them as a service without committing to a particular public cloud, I think that's an interesting role for GreenLake to play in the market. >> Yeah, yeah it's interesting. I mean, earlier this year we celebrated Exascale Day with the support from HPE and it really is all about a community and an ecosystem. Is a lot of comradery going on in the space that you guys are deep into. Addison, it says we can wrap what should observe as expect in this HPC market, in this space over the next few years? >> Yeah, that's a great question what to expect because if 2020 has taught us anything it's the hazards of forecasting where we think the market is going. Like when we put out a market forecast, we tend not to look at huge things like unexpected pandemics or wars but it's relevant to the topic here. Because as I said, we were already forecasting cloud and as a service models growing. Anytime you get into uncertainty where it becomes less easy to plan for where you want to be in two years, three years, five years, that model speaks well to things that are cloud or as a service to do very well flexibly. And therefore, when we look at the market and plan out where we think it is in 2020, 2021, anything that accelerates uncertainty actually is going to increase the need for something like GreenLake or an as a service or cloud type of environment. So we're expecting those sorts of deployments to come in over and above where we were already previously expected them in 2020, 2021. Because as a service deals well with uncertainty and that's just the world we've been in recently. >> I think those are great comments and a really good framework. And we've seen this with the pandemic, the pace at which the technology industry in particular and of course HPE specifically have responded to support that. Your point about agility and flexibility being crucial. And I'll go back to something earlier that Pete said around the data, the sooner we can get to the data to analyze things, whether it's compressing the time to a vaccine or pivoting our businesses, the better off we are. So I want to thank Pete and Addison for your perspectives today. Really great stuff, guys, thank you. >> Yeah, thank you. >> Thank you. >> All right, keep it right there for more great insights and content. You're watching GreenLake Day. (ambient music)

Published Date : Nov 23 2020

SUMMARY :

the globe it's theCUBE and really a pleasure to have you here. and don't know how to get started. for some of the toughest So that's the biggest and the whole complete or they're moving to digital into a particular model, is that correct? just expand the choices the perspectives that you guys And I think that's going to both on the thoughts of what I just said that the definition of cloud is expanding. in the space that you guys are deep into. and that's just the world the time to a vaccine for more great insights and content.

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Eric Clark, NTT Data Services | Upgrade 2020 The NTT-Research Summit


 

>> From around the globe, it's the Cube covering the Upgrade 2020, the NTT Research Summit presented by NTT Research. >> Hi, I'm Stu Miniman, and this is the Cube's coverage of Upgrade 2020 the Global Research Summit for NTT and always happy when we get to talk about digital transformation. Happy to welcome to the program, first time guest on the program, Eric Clark. He is the Chief Digital Officer with NTT data. Eric, thanks so much for joining us. >> Thank you, glad to be here. >> All right so Eric, let's start, you know, CDOs, first of all, there's lots of CDOs. We've done lots of events with the Chief Data Officers, which I'm sure we'll talk a little bit about data, but the digital officers, of course digital so important in general and even more so in 2020. But let's understand your role as Chief Digital Officer. What's your charter? Where you sit in the work? What are you responsible for? >> Yeah, definitely, and you know, it's a good question. I often start conversations with our customers by talking about exactly that, because Chief Digital Officer means something different to different companies. So for us, it's primarily my market facing. And what that means is I spend most of my time looking at research, looking at R&D, looking at what our competitors are doing in the market and looking at where trends are going to make sure that we have the right offerings and capabilities to bring to our customers, to make sure that they will remain competitive in their markets. >> That's great, you know, we've been talking for years about the digital transformations that companies have been going through. One of our definitions has been, if you're not at the end of it, more data-driven, you probably haven't done the right thing. But Eric, this year with 2020, you know, anecdotally, we talked to a lot of customers and obviously there's certain initiatives that get frozen or will take a little bit longer, but those digital initiatives, which are supposed to rely on data and help us move fast and be more agile, seem to be at the top of the list and are accelerating because if I can't respond to the daily and weekly changes that have been great in 2020, I might have a tough time surviving. So, what are you seeing? How does that live in your world? >> Yeah, you're exactly right. And that's what we're seeing from our client base as well. So early on in the pandemic, there was a lot of freeze. You know, hold everything, stop, stop spending, and let's figure out where we are and where this is going. But very quickly that turned to, we've got to react. We're going to be living with this for awhile. And we can't afford to sit back and wait and see where it goes. We've got to react and we've got to direct our future. And very often the way that comes out is with digital. So, customers are looking for opportunities to leverage digital, to grow revenue, to improve customer engagement and to drive more of their revenue through digital channels. >> Interesting, but one thing I didn't here in there, but I'm sure is part if it, what about the employees themselves? One of the big things of course, is that we've made this wonderful corporate environment, you've got the great internet there and now way everybody's at home and scrambling as to what they do. So how about the kind of the EX to go along with the CX? >> Yeah, exactly, and that was actually one of the first places that we focused as a company, because we do a lot of what we refer to as workplace services. So making sure that our customers, employees have the tools they need to do their job successfully. So immediately when offices started closing and people started going home, our big challenge was let's make sure that our customers can connect from anywhere, from wherever they need to be working from and have access to the applications and the tools and the products that they need to perform their jobs remotely. And that's really turned into a significant business of its own, really addressing those needs, not only for our customers, but also for our employee base. We have 50,000 people that we sent home, more than 90% of overnight. And many of these are our employees that are interacting with our customer base on a daily basis. So we had to make sure not only that they had connected but they had to be secure. So it was a very big switch and I think I personally was really impressed not only with what we did, but what we saw the industry do, to make that transition very safely and seamlessly. >> Eric I'd love you to expand a little bit on that, You know, which pieces of that full solution that is NTT offering and how do you and your partners help your customers through those rapid adoptions that they need? >> Yeah, so we're a full suite provider. So, we're focused on digital operations, which is digitizing your back office from your workplace services to your hybrid infrastructure network, et cetera. All the way through bringing what we refer to as journey to the cloud. So how do we help you identify what applications and what data you need in the cloud. CX and EX very big focuses for us. In fact, we take a lot of pride in, while we do go to market and sell CX specifically, we consider CX part of everything we do. So if we're talking about workplace services or hybrid infrastructure or security, we want the employee experience to be solid, and we want the employee experience to be consistent across all of those things. So, we think that our customers should not expect to have different interfaces and different portals and different user experiences when they do work with us across infrastructure, application and cloud, et cetera. >> That's excellent Eric. You know we spent the last six months talking about how did we react to the pandemic, and now at least here in the US, the children are back in school. If they're back though, it tends to be a hybrid model. And when we look at work, often we know we're going to have this long gated, kind of new abnormal if you will. So, yes you might be back in the office some, but chances are you will spend some time remote and therefore it's not work from home or back to work, it's work from anywhere, is what I need to be able to do. So, how are you preparing? How are you helping your customers through that? Because it's one thing if it was just a switch that says, I'm either here or there, but it's changing and it's very fluid. >> Yeah, and you're exactly right, it is work from anywhere. But there are some of our customers that don't have the luxury of work from anywhere. So when you think about manufacturing facilities and different hospitality companies, there are people that need to go into physical places. We do a lot in the healthcare space. We need doctors in the hospitals. So we've done a lot to help our customers figure out safe ways to return to work. Recently, we've seen universities, and as you mentioned, high schools and elementary schools all going back with varying degrees of success, right? Some of them have failed and they've had to take a pause and figure out how they're going to restart. We've also seen professional sports leagues and now college sports leagues. And when we see them having issues, we see protocols adjusting and we see them looking for what can we do to make this safer, more effective and more successful for whether it's our sports team, our school or our business. So we've taken a very active approach in that. And we're leveraging technology and creating IP that starts with pre-arrival, registering in advance and opting in for things like tracking social distancing and tracking the use of masks. Then using cameras and facilities to monitor it, to make sure people that are adhering to social distancing and adhering to wearing mask. And in the event that they aren't, we can send instant notifications to their phone. If we have repeat violators, we can prohibit them from coming back to the office. So we can have very strict controls and adherence to whatever the protocols may be as the protocols change. And then the other thing that allows us to do is in the event, someone would test positive with COVID, we will know exactly who they've been within six feet of without a mask over the past X number of days. All of that is stored in the cloud for us to use for reference and use for audit purposes. So that gives us the ability to then use our app to direct all the people that the person that was positive was in contact with, let them go get tested, come back with a negative test before they returned to the office. So basically what we've done is we've created all kinds of technology using automation and AI and facial recognition to bring more safety and more security to the workplace, whatever that workplace might be. Whether again, school, university, manufacturing facility, or a hotel. >> Really interesting topic. Tracking and tracing, so critically important. We've seen in many countries around the world, that's really helped them get their arms around and control that. We talked at the top of the interview about digital means leveraging the data. And if I don't have the data, I can't respond to what's happening there. Here in the US, I haven't heard as much about the tracking and tracing. Is this a company by company thing? Do they have the expense all on them to do it? And of course it raises the concerns about, well, I'm concerned about my privacy and that balance between the public interest and my right to privacy. How do you help your customers sort through some of those issues? >> Well, privacy is definitely a big issue. And you notice that when I was explaining that I said in pre-arrival, you opt in. So the way we've approached it is, it is an opt in. So those that don't want to opt in to that kind of tracking and tracing, won't be those that will be allowed to come back to the office. And that goes back to your other point, I've worked from anywhere. Many of those people can still successfully work from anywhere. But those that feel like they're more effective, more successful or have a need to be in an office, or a need to be physically again in a manufacturing facility or a hotel, we have a way to do that safely. >> All right, well, Eric one of the things I love about research events lately like yours, is a little peek into what's coming on down the road. So, any other things you'd like to share about? You know, some of the things that are exciting you, some things we should be looking at a little bit further down the road? >> Well, I think, you know, for us as you know, we spend a significant amount of money each year on research, and we really get excited about these opportunities and these showcases. So you'll see a lot of exciting information and a lot of what's coming in the future. (indistinct) out of it right now obviously because of the time you'll see themes of safety and security, but you're also going to see just a whole lot of really thought provoking, forward thinking technology. >> You always take the opportunity, even when they're crisis out there. There's the opportunity for innovation and acceleration of what's happening. >> Yes. Eric, thanks so much, a pleasure talking with you and definitely looking forward to hearing more from the event. >> Great, thank you, enjoyed it. >> And stick with us for more coverage from Upgrade 2020, I'm Stu Miniman, thanks as always for watching the Cube. (upbeat music)

Published Date : Sep 22 2020

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Ash Ashutosh V1


 

>>from around the globe. It's the cue with digital coverage of active EO data driven 2020. Brought to you by activity. We're back. This is the cubes coverage. Our ongoing coverage of active FiOS data driven. Of course, we've gone virtual this year. Ash. Ashutosh is here. He's the founder, president and CEO of Active Eo. Great to see you again. >>Likewise, They always always good to see you. >>We have We're in a little meet up, You and I in Boston. I always enjoy our conversations. Little did we know that, You know, a few months later, we would only be talking at this type of distance and, uh and of course, it's sad. I mean, a data driven is one of our favorite events is intimate, its customer content driven. The theme this year is you call it the next normal. Some people call it the new abnormal, the next normal. What's that all about? >>I think it's pretty pretty fascinating to see when we walked in in March, all of us were shocked by the effect of this pandemic. And for a while we all scrambled around trying to figure out How do you react to this one, and everybody reacted very differently. But most people have this tendency to think that this is going to be a pretty broom environment with lots of unknown variables, and it is important for us to try to figure out how to get a get our hands on this. By the time we came on. For six weeks into that, almost all of us have figured out this is Ah, this is not something you fight again. This is not something you wait, what, it to go away? But this is one. Did you figure out how to live in and you figured out how to work around it? And that, we believe, is the next long. It's not about trying to create a new abnormal. It's not about creating a new normal, but it's truly one that basically says that is it. That is a way, perhaps packed forward. There's a is a way to create this next normal, and you just figured out how to live with the environment, behalf and the normal outcomes of companies that have done remarkably well as a result of these actions. Fact. If you're being one of them, >>it's quite amazing isn't it? I mean, I've talked to a lot of tech companies, CEOs and their customers, and it's almost like they feel the first reaction was course they cared about their there, their employees and their broader families. Number one number two was many companies, as you know, saw a tailwind, and it initially didn't want to be seen as ambulance chasing. And then, of course, the entrepreneurial spirit kicked in and they said, Okay, we can only control what we can control and tech companies in particular just exceedingly Well, I don't think anybody really predicted that early >>on. Yeah, I, um I think of the heart, We're all human beings, and the first reaction was to take it off. Four constituencies, right? One. Take care of your family. Take it off your community, take care of your employees, take care of your customers. And that was the hardest part. The first 4 to 6 weeks was to figure out How do you do each of those four. Once you figured that part out or you figured out ways to get around to making sure you can take it off those you really found the next mom, you really start forgetting our out of continue to innovate Could, you know to support each of those four constituencies and people have done different things. I know it's amazing how, um, Cuba continues to operate As far as a user is concerned, they're all watching anymore. Yes, we don't have the wonderful desk, and we all get to chat and look in the eye. But the content of the messages asked powerful as what it waas a few months ago. So I'm sure this is how we're all going to figure out how to make through this new next normal >>and digital transformation kind of went from from push to pull. I mean, every conference you go to, they say, Well, look at uber, you know, look at Airbnb and it put up the examples you have to do this to, and then all of sudden the industry dragged you along. Some Curis esta is toe. How and and I guess the other point there is digital means data. We've said that many, many times. If you didn't have a digital strategy during the height of the lock down, you couldn't transact business and still many restaurants is still trying to figure this out, But so how did it affect you and your customers? >>Yeah, it's very interesting. And I we spend a lot of time with several of our customers were managing some of the largest I T organizations. We talk about very interesting phenomena that happened some better beginning of this year. About 20 years ago, we used to worry about this thing called the Digital Divide, those who have access the network and Internet and those who don't. And now there is this beta divide, the divide between organizations that know how to leverage, exploit and absolutely excellent the business using data and those adorable. I think we're seeing this effect so very clearly among organizations that unable to come back and address some of this stuff. And it's fascinating. Yes, we all have the examples off the lights off. People are doing delivery. People are doing retailing, but there are so many little things you're seeing organizations. And just the other day, he had a video from Century Days Is Central Data System, which is helping accelerate Cohen 19 research because it will get copies of the data faster than they would get access to data so that these are just much, much faster. Sometimes you know, several days to a few minutes. It's that that level of effect, it's not just down to some seven. You know, you almost think of it as nice to have, but it's must have life threatening stuff. Essential stuff or just addressing. Korea was running a very pretty in a wonderful article about this supercomputer in That's Doing an Aristo covert 19 and how it's figured out most of these symptoms they're able to figure out by just crunching a ton of data. And almost every one of those symptoms that the computer has predicted Supercomputer is predicted has being accurate. It's about data. It is absolutely about data, which is why I think this is a phenomenal time for companies. Toe Absolutely go change. Make this information about data exploration, data leverage, exploitation. And there's a ton of it all over all around us. >>Yeah, and and part of that digital transformation, the mandate is to really put data at the core. I mean, we've we've certainly seen this with the top market cap companies. They've got dated at the core, and and now, as they say it's it's become a A mandate. And, you know, there's been several things that we've clearly noticed. I mean, you saw the work from home required laptops and, you know, endpoint security and things of that. VD. I made a comeback, and certainly Cloud was there. But I've been struck by the reality of multi Cloud. I was kind of a multi cloud skeptic early on. >>Yeah, >>I said many times I thought it was more of a symptom than it was a strategy, but it's that's completely flipped. Ah, recently in r e t r surveys, we saw multi cloud popping up all over the place. I wonder what you're seeing when you talk to your customers and other CEOs. >>Yeah, So fascinating, though really is the first flower part of sometime in 2018. End of 2018 >>Go right, Yeah, >>the act if you'll go on world, which is a phenomenal way to completely change the way you think about the using object storage in the flower for two years that we saw about 20% of our business. By the end of two years, the beginning of this year, 20% of our business was built on never it in the cloud since March. So that was end of our almost ended the Q one. So now we just limit left you three in six months. We added 12 more percent of the business literally weeded in six months. What we did not do before for 18 months before that, right? Significantly more than what we did for a year and a half before that. And there are really three reasons and we see this old nor again, we have a large customer. We closed in January. Ironically, were deploying out of UK, a very large marketing organization. Got everything deployed, running the they're back up and beyond and a separate data center. And they had a practical problem of not being able to access the second sight literally in the middle of deployment. Mystere that customer, Did you see me Google Cloud? Because they were simply no way for them to continue protecting their data, being able to develop new applications with that data that simply had no access. So there was. This was the number one reason the inability for already physically access, but put their their employees at rest and have before the plow would be the infrastructure. That's number one, so that first of all, drove the reason for the cloud. And then there's a second reason there are practical reasons. And why some clerk platforms that good one working the other ones are not. So where, uh, some other more fuels. And so if I'm an organization that has that spans everything, I've got no power PC and X 86 machine A vm I got container platforms. I got Oracle. They got a C P. There is no single cloud platform that supports all my work loaders efficiently. It's available in all the agents I want. So inevitably I have to go at our different about barefoot. So that's a second practical visa. And then there's a strategic reason. No, when no customer what's really locked into anyone card back at least two. You're gonna go pear more likely? Three. So those are the reasons. And then, interestingly enough, have you were on a panel with as global Cee Io's and in addition to just the usual cloud providers of you all know and love inside the U. S. Across the world, in Europe, in Asia, there's a rise off the regional flower fire. See you take all this factor. So have you got absolute physical necessity? You got practical constraints of what can the club provided support the strategic reasons on why either Because I don't want to be locked into a part for better or because there is a rise off data nationalism that's going on, that people want to keep their data within the country bombs all of these reasons. But the foundations or why multiplier is almost becoming a de facto. It's impossible. What a decent size organization to assume. They were just different on one car ready. >>The big trend we're seeing, I wonder if you could comment. Is this this notion of the data life cycle of the data pipeline? It's a very complex situation for a lot of organizations, their data siloed. We hear that a lot. They have data scientists, data engineers, developers, data quality engineers, just a lot of different constituencies and lines of business. And it's kind of a mess. And so what they're trying to do is bring that together. So they've done that data. Scientists complain they spend all their time wrangling data, but but ultimately the ones that are succeeding to putting data at the core is, we've just been discussing are seeing amazing outcomes by being able to have a single version of the truth, have confidence in that data, create self serve for their for their lines of business and actually reduce the end and cycle times. It's driving your major monetization, whether that's cost cutting or revenue. And I'm curious as to what you're seeing. You guys do a lot of work. Heavy work in Dev ops and hard core database those air key components of that data Lifecycle. Yeah, you're seeing in that regard regarding that data pipeline. >>Yeah, it's a It's a phenomenal point if you really want to go back and exploit data within an organization. If you really want to be a data driven organization, the very first thing you have to do is break down the silos. Ironically, every organization has all the data required to make the decisions they want to. They just can't either get to it or it's so hard to make the silos. That is just not what trying to make it happen. And 10 years ago we set out on this mission rather than keep this individual silos of data. Why don't we flip it open and making it a pipeline, which looks like a data cloud where essentially anybody who's consuming it has access to it based on the governance rules based on the security rules that the operations people have said and based on the kind of format they want to see data. Not everyone even want to see the data in a database. Former, maybe you want the database for my convert CSP for my before you don't analytics And this idea of making data, the new infrastructure, this idea of having the operations people provide this new layer for data, it's finally come to roost. I mean, it's it's fascinating. I was the numbers last quarter. We just finished up. You do now. 45% of our customer base is uses activity or for reuse is the back of data for things that excellent. The business things that make the business move faster, more productive or you will survive. That was the mission. That was what we set out to do 10 years ago. We were talking to an analyst this morning, and now this is question off. You know, it looks like there's a team of backup data being reused, said Yeah, that's kind of what we've been saying for 10 years. Backup cannot be an insurance back up in order to your destination. It has to be something that you could use as an asset and that I think it's finally coming to the point with you can use back up a single source of truth only if you designed it right from the beginning. For that purpose, you cannot just lots of lots of ways to fake it. Make it try to pretend like you're doing it. But that was a trooper was off making date of the new infrastructure, making it a cloud, making it something that is truly an ask. And it's fascinating to see our businesses. You take any of our larger counts and the way they've gone about transforming not just basic backup. India. Yes, we are the world's glasses back up in most Kayla will be our solution. That's that's a starting point. But do we will be used after Devil applications 8, 10 times faster? Ron Analytics, 100 ex pastor. The more data you have, the more people who use data you have, the better this return makeups. >>You know, that is interesting to hear you talk about that because that has been the holy Grail of backup. Was toe go beyond insurance to actually create business value. And you're actually seeing some underlying trends We talked about that data pipeline in one of the areas that is the most interesting is in database, which was so boring for so many years. Ah, and you're seeing new workloads emerge. Take the data warehouse beyond your reporting. Never really lived up to its Ah, it's promise of 360 degree view. You mentioned analytics. That's really starting toe happen. Ah, and it's all about data John, for Used to say that your data is that is the new development kit. You call it the new infrastructure, and it's sort of the same same type of theme. So maybe some of the trends you're seeing in ah in database enoughto talk about that for a little bit and then pick your brains and some other tech like object storage is another one that we've really seen takeoff? >>Yeah. So I think our journey with object story began in 16 4017 as we started or Doctor Cloud platform in response to the user requirements, Uh, we did more like most companies have done and unfortunately continue to do to take the in print product. And then it's smooth under the cloud. And one of the things we saw was there was a fundamental difference off how the design points of flower engineering is all about what they're designed it for object story, that one of those one of those primitives fundamental stories, primitives that the cloud providers actually produced that we know really exploited. There was. It was used as a graveyard for data. It's a replacement for me, please, where data goes to die. And then we look at it really closely and say, Well, this is actually a massively scalable, very low cost storage, but it has some problems. It has an interface that you cannot use with traditional servers. Uh, it has some issues around not being able to read, modify right the data. So it feels like a consuming a lot of stories. So we're going to solve those problems because a good two years to come back with something on world that fundamentally creeds objects the lady like this massive use capable high performer disk? Yes, except it is ridiculously low cost and optimize the capacity. So this finger on world that patented has really become the foundation of how everything in our works without using CPU Ray, that is simply nothing at a lower PCO that if you wanted to basic backup, the, uh, more importantly, use that to do this a massive analytics and you don't know more data warehouse data leaks. It is not a good deal of Lake House aladi. All of these are still silent. All of these are people trying to take some data from somewhere put into one of the new construct and have it being controlled by somebody else. This is artist thing. It's just you just move the silos from some place to another place instead of creating a pipeline. If you want to really create a pipeline object story has been integral part of the pipeline, not a separate bucket by itself. And that's what we did. And same thing with databases, you know, most business, most of the critical business and I was on a daily basis, and the ability to find a way to leverage those. Move them on our leverage in terms of whichever format databases access. Which location or Saxes doesn't know how big it is. Lots of work has gone into trying to figure figure that one out. And we we had some very, very good partners in some of the largest customers who help take the journey with us. I'm pretty much all of the global 2000 accounts you see across the board, but an integral part of a process. >>You mentioned the word journey and triggered a thought. Is your discussion with Robbie, the CEO of of Seeing >>A. It was a customer years. >>Ah, and what he said. I liked what he said. He course he used the term journey. We all do. But he said, You know what? I kind of don't like that term because I want to inject the sense of urgency essentially what he was saying. I want speed, you know, journeys like Okay, kids get in the car, were in a drive across country. We're gonna make some stops. And so, while there's a journey, he also was was really trying to push the organization hard and he talked about culture. Ah, as some of the most difficult things and it goes like many. See, I said, Now the technology is almost the easy part. It's true when it works. Oh, I thought that was a great discussion that you had. What were some of your takeaways >>with thinking? Robbie's is very astute. Ah, I t executive was being around the block for so long and one of the fascinating things, but a asking this question about what's the biggest challenge was just gone through this a couple of times. What is the biggest challenge? Taking an organization as vulnerable as well known A C gate is. I mean, this is a data company. This is This is the heart of the Oliver Half the world's data is on seeing stuff. How are you today was, or company has been around for long in the middle of Silicon Valley and make it into ah into a fast growing transformation company that's responding to the newer challenges. And I thought he was going to come back with Well, you know, I gotta go to the abuses. I picked this technology that techno in. Surely that is exactly what I expected he would end up with. There's nothing through technology in this day and age when you can have an Elon Musk and send a card of Mars. It's not many technologies that we can really solve many covered 19 ism. Next one Do we gotta go solve? Well, frankly, he kid upon the one thing that matters to every company. It is the fundamental culture to create a biased of action. It's a fundamental culture where you have to come back and have a deliverable that moves the ball forward every day, every month, every quarter, as opposed to have this CDs off. Like you said, a journey that say's and we all know this right? People talk about, we're going to do this in face one. We're gonna do this and face to and good food release and face three nothing and what happens Invasive. Nobody gets a number feast. I think he did a great job of saying I fundamentally had to go change the culture that was my biggest take away, and this I've heard this so many times the most effective I D execs wait a transformation. It actually shows in the people that they have. It's not the technology, it's the people. And some. This history is replete with organizations that have done remarkably well, not by leveraging the heck out of the technology, but truly by leveraging the change in the people's mindset. And, of course, that at that point that leverages technology where a proper here. But Robbie's a insightful person, always such a They lied to talk them, said they like for him to have chosen us as a its information technology for him to go pull his data warehouses and completely transformed how I was doing manufacturing across the globe. >>You know, I want to have some color of what you just said because some key keep takeaways that from what you just said, ashes is You know, you're right when you look back at the history of the computer industry used to be very well known processes, but the technology was the big mystery and the and the big risk and you think about with Cove it were it not for Technology Way didn't know what was coming. We were inventing new processes literally every day, every week, every month. It's so technology was pretty well understood. It and enabled that. And when you when you think when we talked earlier about putting data at the core, it was interesting to hear Robbie. He basically said, Yeah, we had a big data team in the U. S. A big tainted TV in Europe. We actually organized around silos and and so you guys played a role you were very respectful about, you know, touting active video with him. You did ask him, You know what role you play, But it is interesting to hear and talk about how he had to address that both culturally. And of course, there's technology underneath to enable that unification of data that silo busting, if you will. And you guys played a role in that. >>Yeah, I always enjoy, um, conversation with folks who have taken a problem, identified what needs to be done and then just get it done. And its That's more fascinating than you. Of course, I video plays a small part in a lot of things, and we're proud to have played a small part in his big initiative, and that's true of know the thousands of customers we talk about. But it's such a fascinating story to have leaders who come back and make this transformation happen, and to understand how they went about making those decisions, how they identified where the problem with these are so hard. We all see them in our own life, right? We see there is a there's a problem, but sometimes it takes a wider don't understand. How do you identify them and what do you have to do and more importantly, actually do it? And so whenever use, whenever I get an opportunity with people like Robbie, I think understanding that there's a way to help, uh, we always make sure that we play our own small part, and we're privileged to be a part of those kinds of journeys. >>Well, I think what's interesting about activity on the company that you created is essentially that. We're talking about the democratisation of data, that whole data pipeline, that discussion, that we had the self service of that data to the lines of business and, you know, you guys clearly play a role there. The multi cloud discussion fits into that. I mean that these air all trends that are tail winds for companies that can that can help sort of you know, flattened the data globe. If you if you will, your final thoughts. >>Yeah, I know you said something that is so much at the heart of every idea Exactly that you're talking to, if they truly is. The fundamental asset that I finally end up with is an organization. The democratization of data. Where I do not lock this into another silo, another platform, another ploughed. Another application has to be part of my foundation design and therefore my ability to use each of this cloud platform for the services they provide. While I and they were to move the data to where I needed to be. That is so critical. So you almost start to think about the one possession and organization now has. And we talked about this with a group of CEOs. They might be some pretty soon. Not too far off, but data stolen asset. I might actually have our data mark data market, just like you. I was stopped working, but I can start to sell my data. You know, imagine a coup in 19. There's so many organization that have so much data, and many of them have contributed to this research because this is an existence of issue. But you can see this turning into a next level. So, yes, we've got activities, will move the data toe one level higher where it's become a foundation construct for the organization. The next part is gonna actually done. This is the one asset would actually monetize someone stuff. And it will be not too long when you need to talk about how there's this new exchange and what's the rate of data for this company? Was, is that company in the future trading options? Who knows is gonna be really interesting. >>Well, I think you're right on this notion of a data. Marketplaces is coming, and it's not not that far away, Blash. It's always great to talk to you. I hope next year a data driven weaken we could be face to face. But I mean, look, this has been we we've dealt with it. It's it's actually created opportunities for us toe to reinvent ourselves. So congratulations on the success that you've had and ah, and thank you for coming on the Cube. >>No, thank you for hosting us and always a big fan off Cube. You guys, you engage with you since early days, and it is fascinating to see how this company has grown. And it's probably many people don't even know how much you've grown behind the seats, technologies and culture that you created yourself. So it's hopefully one day we'll strict the table that I would be another side and asking of our transformation. Digital transformation of Cuban cell >>I would love to. I'd love to do that index again. And thank you, everybody for watching our continuous coverage of active fio data driven keeper Right there. We'll be back with our next guest right after this short break. >>Thank you.

Published Date : Sep 9 2020

SUMMARY :

Great to see you again. is you call it the next normal. There's a is a way to create this next normal, and you just figured out how to live with the environment, And then, of course, the entrepreneurial spirit kicked in and they said, Okay, we can only control what we can control really found the next mom, you really start forgetting our out of continue to innovate Could, I mean, every conference you go to, the divide between organizations that know how to leverage, I mean, you saw the work from I said many times I thought it was more of a symptom than it was a strategy, but it's that's completely End of 2018 Io's and in addition to just the usual cloud providers of you all know and love inside And I'm curious as to what you're seeing. the business move faster, more productive or you will survive. You know, that is interesting to hear you talk about that because that has been the holy Grail of backup. and the ability to find a way to leverage those. You mentioned the word journey and triggered a thought. I want speed, you know, journeys like Okay, And I thought he was going to come back with Well, you know, I gotta go to the abuses. and the big risk and you think about with Cove it were it not for Technology Way How do you identify them and what do you have to do and more importantly, I mean that these air all trends that are tail winds for companies that can that can help sort of you And it will be not too long when you need to talk But I mean, look, this has been we we've dealt with it. the seats, technologies and culture that you created yourself. I'd love to do that index again.

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Jeremy Burton, Observe Inc. | CUBE Conversation, April 2020


 

>> Narrator: From theCUBE studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is theCUBE conversation. >> Everybody, welcome to this CUBE conversation. I'm John Furrier, host of theCUBE here in Palo Alto, California in our studios where we have a quarantine crew and we're doing remote interviews with thought leaders in the industry and people who have been around the block, beat it through three industry cycles but also can share their perspectives on the COVID-19 situation that we're in, the challenges and the opportunities. And I have with me, Jeremy Burton, a good friend of theCUBE. Have been a CUBE alumni now for 10 years, now the CEO of Observe, it's a stealth startup. I got a little taste of it, it's a Cloud thing. It's going to be part of this whole new guard. Jeremy, great to see you. You're sheltering in place, we're sheltering in the studio. Thanks for joining me. >> No, thanks for the offer. I mean, it's funny these days I welcome chance to actually speak to somebody and particularly, somebody that's not at Observe. So this is a rare treat in the last three weeks. >> Telling the wife and kids, "Hey, I'm going to go talk to theCUBE guy." So you know, I'm going to have some fun for a while. Look, I want to just have a candid fun conversation 'cause I think one of the things that's interesting to me in one, things that we're spending a lot of time doing media on is getting the word out about some of the things that are going on. People do have anxiety, they're sheltering in place for the folks that've been in the tech industry, working at home and being virtual has been part of the thing. It's not a big thing but from some of the people it's like a first time thing. And also it's also highlighting a disruption that kind of is off the books if you will, the classic continuous operations and disaster recovery was also confined to power outages or hurricanes or all those things that we people are protected against. But this is just a surge of the herd of the people going home. It's causing an at scale problem and showing these challenges, but there's also opportunities. What's your take on this? How do you see this evolving? What's your view of the current situation and some of the comments? >> Yeah, I think for most of us we're in a little bit unchartered territory. I don't really know a whole lot about medicine or the details of the virus or how pandemics happen. But we obviously have to, we deal with the consequences of it. And so I think right now although, I think it's a fairly bad situation for a lot of people, just having been through a couple of recessions where we all went through 9/11. The world does turn around and you come out the other side. And so the key thing is you start like a very much as a cliche, but you've got to live in the moment, "What can I do right now? "What can I affect right now? "How can I make sure that what I'm working on "is a value for when we come out the other side "and when more curveballs come along?" I think you've got a reason about that with the best information you have at the time. So I almost feel like you very much, you've got to just live solid like day to day, week to week, listen to the data and adapt based on that. But it's certainly starting to reinvent how work is done. I think we've all worked from home at some point. We've all worked using our equipment at home. But the prospect of working that way for months on end and it maybe been the new way of working, is a whole new ballgame. So I'm a big believer that this will fundamentally change the way we work. I don't think we're going to go 100% back to the way that we were, and there's going to be quite a lot of readjustments, and I think in that world, there's going to be some new companies come along that are big winners. And by definition, there's going to be some big losers as well. >> Well, people who know theCUBE know that I'm a big fan of you as an executive. I've seen the vision, you have also great technical shops and product shops, but also a good operational view. You've always been a fan of digital. And I think if you look at video conferencing, for instance, WebEx as a Cisco thing, great bulletproof of the enterprise, but Zoom has come across the scene. I've never seen so many Zoom parties. I did one with my family that they actually liked it. They were having fun. We had cocktails raising the wineglasses up. So people are Zooming their CUBE in, we're doing interviews. So video now is not just a corporate thing. You're seeing the engagement of digital taking on a new life and this is a whole new roles and responsibilities that we might reimagine how people do their business because with the events being canceled that are going on, whether they're concerts or just industry or tech events or any event, that physical space is gone, now it's going to digital. So how do you replicate the business value or personal value from physical face to face to digital? It's a whole new venue, there's new roles. It's complicated, it's a complex system. What's your thought on that? >> It is though, but what I have been pleasantly surprised by, I'd love it going in the office. I love the engagement with people and hanging out in the office. And so I was not really a big fan of remote working and virtually working, but I have to say, not only now where we virtually work in and we do the Zoom meetings and that's all well and good. It's a big cultural thing with at Observe to do a game night. And so we thought, "Well, why can't we do a virtual game night "and lending some trade secrets here? "But our favorite game was Secret Hitler." >> Yeah, that's a great game. One of my family's favorite. >> Turns out there's an online Secret Hitler. And you know what? The first time we played it, one of the nice thing is we've got less than 20 people in the company. So you got 12 or 14 people online. It's actually manageable. But I have to say, I'm almost embarrassed to say, it was almost as good sitting there with a drink playing virtual Secret Hitler as it was sitting around the desk. And so now I'm thinking when we go back to work, maybe we don't need to leave our desks and go have a drink together. We can just sit there on Zoom and play the secret Hitler online. Then you start looking around, "Well, what are the games can I play online?" Not like for one or two players or five players and I'm not talking about playing kind of Halo or something like that, but good collaborative games for tens of people to play at once. There's not as many as you think. So I feel like the social aspect of it, I mean, online gaming I think is huge. But even the video conferencing software, you would have thought that we would be done WebEx by now, right? I mean Skype and WebEx, we've had those for years, right? And so how does Zoom, which does guess what, video conferencing come along and start to clear up. And Zoom is not perfect by the way, but this is almost the crisis that they needed to make a fabulous business. I do believe as we start to come out the other side, I think there's going to be much, much investment in the VC world, on improving that remote work experience Because as much as me and you can talk to a video session, we can't collaborate and work together. The tools for doing that, I think still are relatively poor. >> I think you're onto something. Zoom by the way, had 10 million active dailies in December. This month was 200 million rocket ship. They got 90,000 universities. They essentially made some good moves. I think that's going to be good, but you bring up a good point about these new kinds of opportunities that are going to come out the other side, which is, think about Secret Hitler. For the folks who don't know, is a great game that you play with people, in your family or in friend group like Cards Against Me. And if you know that game, it's a similar thing concept, but you have different games. It's really fun, you should get it. Check it out online. But think about that online gaming or just what engagement means socially. I mean the old web days or just like a couple of months ago was individual engagement, "Did you like my tweet? "Did you like my Facebook post?" You're getting at something that's little bit more of a social organizational construct of group engagement, intimacy. >> Right, and the thing is we would do game night once a month and we'd get videos in and get the teamed together. Once a month was good when everybody had their own life to deal with. Now people are craving like, "Hey can we do this like every week?" And I wouldn't be surprised if the frequency increases from that, but I think that just almost speaks to human beings and that we crave social interaction. And even though most of the people at Observe are engineers and by definition should not enjoy as much social interaction, they do. They love it, right? And to me, that gaming and social direction, that's part of work. And so you have to have a virtual environment that can reproduce that. >> I mean, it's very interesting to see some of the entrepreneurial exercises or pitches that come out of this because I think it's going to be a Renaissance, it's not Renaissance 'cause it's going to come back. It's always been there. But the new kind of entrepreneurial products coming out are going to address these things. And the question I want to ask you, 'cause you've been on the big company, you've done extremely well in your career, than you get back down to your roots to doing startup, you're launching, you haven't yet launched. So you got hit right here, you're working at home sheltering in place. I was talking to a couple of VC buddies, venture capitalists, and they're saying, "I'm reading books and I'm doing research "but I really can't meet people." So their work has changed. How do you see the investment community reacting to this? Certainly valuations might come down. Obviously, their limited partners are being hit with the stock market. You're seeing a disruption. What do you see going on in the VC world around this cold hard time? >> I mean certainly all VCs are not created equal. So I think there's going to be different perspectives based on the background of the DNA of the VC involved. I think certainly at Observe, I feel very fortunate that we've got a sort of Hill Ventures. So these guys were the investors behind Snowflake and behind Pure Storage and many other good companies but they're very longterm investors and their advice to me has been, "Well look, "some of the most innovative times if you like, "have been during and after a major crisis. "And so if you make short term decisions "to get you through those crisis, "they're all terrible but they don't last forever "and there will be another side. "And so make good business decisions "and good investment decisions through this "because there will be winners "that emerge on the other side." And that's really what I try and get the team focused on is, "Guys for now, we're sort of hunkered down "and it feels bad, "but we're probably more privileged than most. "And we have an opportunity maybe on the other side, "to take advantage, we don't have a revenue stream, "we don't have existing customers. "We can sort of take this Greenfield business "that we've got and you go on the offensive "when things returned to assemblance of normal." So The Hill had been fantastic. And I would hope that most VCs retain that perspective, which is if it was a good company three weeks ago, it's probably still a good company today. And the best way to create value is to sort of empower I think the CEOs and executive teams to make the right sort of longer term decisions. Try and capitalize when you come out the other side because there will be losers as well. And I think the wrong decisions now can put you on the losing end of that equation in three, four, five months time. >> Yeah, that's a good point. If you are a good company just a few months ago or even weeks ago or a year ago, you're still a good company. That's really going to be a tell sign to what happens in some of these companies. If I got to ask you a more focused question on this whole, which side of the street are you on? Are you riding the wave or are you going to get taken away and washed away with it? Because there are bets and well, I want to get into Observe in a minute, but you mentioned Snowflake there in the Cloud wave. Obviously, that's pretty bullish. We're still bullish on that. Obviously, it's going to be game changer. But is there a tell sign for the kind of bets that those good management teams need to make now? Because I agree with you, when the Dot-com bubble burst in 2000 and really 2004 kicked back up again. 2008, we saw that post and a lot of great companies were created. So what's your advice on which side of history do you need to be on here? I'll say Cloud is one. What is your view on that? >> Yeah, I mean we felt for many years, it's not just since I went to the startup, but I am a huge believer in this transition to digital businesses. Frictionless interactions, automation, yes, obviously people are required to run a business, but if you could run a business remotely, or the businesses automated in a way such that it doesn't require hands-on operation, then that's a beautiful thing. And my belief is that, this terrible situation will force people to really think seriously about what the digital business looks like. If you don't have one, then that you may not be able to be in business in a year, two, three years down the line, right? There'll be some carryover, but I think the smart businesses are going to be able to function in an environment such as this. >> Yeah, I think that's great. >> That's going to be playing on everybody's minds. Now more than ever, I think that the digital business is a necessity. >> Yeah, I was just talking to a colleague and we were just talking about how all of the events got canceled and you've had the history running some of those best events ever in the industry at EMC. And we participated in those and you know your staff when it comes to events, there's economic value in these physical events as a venue, Science Convention Center in Moscone here in San Francisco. I mean there's a lot of things that go on, a lot of decision-making that's been standardized over the years and there's an economic value that comes out of those events. Now that's gone, and then these little digital teams, some companies have like five people, two people, sometimes maybe if you're lucky you have 10 or more or a department. And then you've got demand generation. All these guys are being told now, "You have to make up for the shortfall "in not just leads but value." And this just has been a big burden for some of my friends out there who are like, "Wait a minute, you want to take that and move it over here?" It's been kind of a challenge. What is your view on this? Because a lot of people are trying to figure this particular problem out on how to make digital work today and have some extensibility and get success. What's your take? >> Well, I'm still a huge believer I mean, whereas sort of like we just saw digital marketing content is still very much King, right? If you can produce a compelling piece of content online, TV quality with a depth of knowledge that you're going to attract an audience, now can you then make that experience interactive? Can you engage the audience in a deeper way? Yeah, you're probably not going to have something which lasts for a full day or for three days online, but I think it's really going to force the creativity on the content side to another level, right? It can't just be talking heads and PowerPoint pictures. So that rethinking from first principles, what an online conference or an online experience actually looks like in a way that it engages the people who are watching. To me, those folks are going to go do very, very well. And the economics, I know how much it costs to put on a conference for 10 or 15,000 people. And by the way, I know how much it costs to put on a virtual event for 10 or 15,000 people. And the economics are astounding in that difference. Now if you're physically somewhere, you can feel things that you can't feel online. Come on though, this is a problem that requires some innovation to solve, right? We've talked about virtual reality and augmented reality, but it's still pretty clunky and relegated to sort of niche use cases and bad games. But at some point, that technology has to reach the point where it can be useful and engage in a new. You can approximate to that physical experience. But I think that is going to be critical but many businesses even beyond sort of marketing and virtual events and that kind of thing, many businesses are just going to have to reinvent how they engage and interact with their customers and the automation of their operations and how do you get by when you don't have as many people physically in an office or operating machines? Everybody's going to have to think through that. >> Yeah, I think that's great insight and that's going to be a great clip that I'll share and I think that's going to be inspirational for the folks trying to solve that problem. The things that we're focused in on, as you know, and this is something that we're doing a lot of work on, is the engagement with groups and you mentioned The Secret Hitler as the game, they're going to see some new clever things go on. And I think the group dynamic and having people in whether it's virtual and physical spaces exchanging credible things, ideas or jokes or whatever is going to be a new kind of dynamic. >> Yeah. >> Because that's going to have to fill the void. >> Yeah, I mean I've got a small company so we can play these individual games, but just think about some of these board type games where I want to have three teams and I want to divide the company up into three. The logistics of actually figuring that out is ridiculous and it shouldn't be that way, right? And so these are basics of human social interactions. We want to play a game together, we want to divide up into teams. But that sounds like a relatively trivial thing, but try and find the number of games available that allow you to easily do that and each team interaction independently of the others, it's almost impossible. >> It's going to be fun to watch and I think and I hope we're going to learn. Well, thanks for the device. Let's get back to your startup. Let's get a plug in for that, I want to get the plug in. I've seen you in stealth so you can't really go into great detail, but you have been talking to customers. You are obviously related, that's related to Snowflake, but you were going to do some things with Snowflake. You're in the Cloud. Can you just take a minute to give a plug for what you guys are doing for the people who want to know what you guys are leaning towards in terms of the value proposition? >> Yeah well, when I look back in my career, one of the times I enjoyed the most was the time at Oracle and working with data. And I've been fortunate enough for the last four and a half years or so to be on the board of Snowflake. Couple of ex Oracle guys, Benoit and Thierry founded the company and they've reinvented the database. And I felt like I've sat for 20 years looking for the second coming of the database and we all were sort of had fake thinking it was Hadoop. And turns out it wasn't. But I think Snowflake and the separation of storage and compute that allows them to sort of scale and have a usage-based pricing model, I just think is absolutely revolutionary and I think it's going to be one of the great companies of the new era. And so when I was there when I looked at Observe, really the thesis was that using a platform like Snowflake, you could potentially reason about unstructured log data. It's all like Splunk. You could reason about time series data, a little bit like Datadog or tracing data like AppDynamics or in fact any data, you could reason about it together. And today, if you look at the world, it's like if you want to do something with logs, you go get one product. If you want to do something with relational data, you get another, if you want to do time series data, you get another, you want to do tracing, you get an APM tool. And nobody has the big picture, right? Everybody's got their own little piece of data and their own perspective on where the issue might be in your company. But nobody really knows and it's usually put together in the brain of, of the smartest guy in the room. And so I thought it was quite simple. At Snowflake, you've got this commercial database that can do instruction data and time series data and relational data. And what if we could collect all data within an organization together, structure it, relate it, and then imagine what you could find out about your infrastructure, your applications, your business? >> Sort of unification? Does it have like unification kind of concept for users or IT? >> Yeah, I think the emerging category would be observability but it really is a collapsing of log analytics, metrics monitoring and tracing into this new category of observability. We don't necessarily just view that though as sort of data coming out of Kubernetes clusters or out of AWS or wherever. We actually could ingest security data. We could ingest data from people surfing using your app or surfing your website. We could take logs coming out of machines on a factory floor. So the way we built the product, it can be literally any kind of data. And we try and structure it and relate it and make sense of it and then make it very easy for people to navigate through it and determine issues and problems. So yeah, we're pretty excited about it. And like I said, we could not have built this even a couple of years ago because I don't think Snowflake would have been there. And in fact, that was one of the big risks when we started the company. Can we build it on Snowflake? And so here we are two years later and we think we can. Well, we're sure we can do it. >> Yeah, they've had a good run too. I mean, look at the growth of Snowflake. >> Yeah, it's crazy. I've never seen anything like it and in the last 20 years and B2B, I've never seen anything like it. So just like I felt in the mid 90s when I was at Oracle, people were making decisions to go with Oracle and then saying, "Hey, help me get all of my other data in that, "my mainframe data, my this, my that." I think Snowflake are going to go through the same sort of growth phase and hopefully with Observe, we can be like, "Hey, if you want to put "your unstructured data or time series data, "we can help you do that very easily." >> Well, this is exactly the current wave that you want to be on the right side of because like you said, just a year or so ago or a couple of years ago, it wasn't available. This is kind of the new capabilities. >> Yeah, I feel like there's going to be a lot of businesses, grow ridiculously. You talked about the Zoom numbers. These are ridiculous growth numbers and there are going to be companies come out the other side that take advantage of the new environment. And as they're growing, as they're scaling, as they build these new microservice-based applications, they're going to run into issues and we hope at least that it's products with our kind of architecture, that's going to be able to help these fast-growing businesses. So yeah, as I said, we're somewhat fortunate in that we don't have a product yet, but certainly on the other side of this, we think there's going to be plenty of opportunity to help a few folks. >> We know you got to do a launch and we're looking forward to hearing more and getting the briefing, and looking forward to hearing more about it when you go public. And yeah, thanks for coming on and taking the time today. I know you got your daughter's birthday party there and you're going to have some celebration. Thank you for sharing the insights on your vision of digital. I thought that was very compelling and great to see you and stay safe. >> Great to see you. Yeah, my 18-year-old, it's got a birthday party and she like always would worry, "What if no one shows up?" Well, today she knows no one's going to show up. >> Except for her family, yeah. >> It's going to be down in the family, yeah. So thanks for that and you guys stay safe and been great the last 10 years knowing theCUBE been that long but hopefully, here is the next 10 years after this current situation is over. >> Yeah, looking forward to it, it's going to be a lot of fun rye and get the content out there. And again, thanks for coming on during this important time and sharing your insights and also just making some entertainment here. We're getting some conversations so people can fill the void and play some games and have some fun. Jeremy, thanks. Great to see you. Jeremy Burton, senior executive in the industry. I've known him for years, been a CUBE alumni since theCUBE was formed. Now the CEO of Observe, sharing his insights on the industry but more importantly, how to be successful, how to come out the other side. Don't be too optimistic. Be focused on today and get through it. That's his advice. Of course, we're theCUBE bringing you all the data as we can now with remote interviews during this time. Thanks for watching, I'm John furrier. (soft music)

Published Date : Apr 3 2020

SUMMARY :

connecting with thought leaders all around the world, It's going to be part of this whole new guard. No, thanks for the offer. that kind of is off the books if you will, And so the key thing is you start like a very much And I think if you look at video conferencing, and hanging out in the office. Yeah, that's a great game. I think there's going to be much, much investment I think that's going to be good, And so you have to have a virtual environment because I think it's going to be a Renaissance, "some of the most innovative times if you like, If I got to ask you a more focused question on this whole, but I think the smart businesses are going to be able That's going to be playing And we participated in those and you know your staff But I think that is going to be critical and I think that's going to be inspirational and each team interaction independently of the others, It's going to be fun to watch and I think it's going to be one of the great companies So the way we built the product, I mean, look at the growth of Snowflake. I think Snowflake are going to go through the same This is kind of the new capabilities. and there are going to be companies come out the other side and great to see you Great to see you. So thanks for that and you guys stay safe on the industry but more importantly, how to be successful,

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Jeremy Burton, Observe Inc. | CUBE Conversation, April 2020


 

>> Narrator: From theCUBE studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is theCUBE conversation. >> Everybody, welcome to this CUBE conversation. I'm John Furrier, host of theCUBE here in Palo Alto, California in our studios where we have a quarantine crew and we're doing remote interviews with thought leaders in the industry and people who have been around the block, beat it through three industry cycles but also can share their perspectives on the COVID-19 situation that we're in, the challenges and the opportunities. And I have with me, Jeremy Burton, a good friend of theCUBE. Have been a CUBE alumni now for 10 years, now the CEO of Observe, it's a stealth startup. I got a little taste of it, it's a Cloud thing. It's going to be part of this whole new guard. Jeremy, great to see you. You're sheltering in place, we're sheltering in the studio. Thanks for joining me. >> No, thanks for the offer. I mean, it's funny these days I welcome chance to actually speak to somebody and particularly, somebody that's not at Observe. So this is a rare treat in the last three weeks. >> Telling the wife and kids, "Hey, I'm going to go talk to theCUBE guy." So you know, I'm going to have some fun for a while. Look, I want to just have a candid fun conversation 'cause I think one of the things that's interesting to me in one, things that we're spending a lot of time doing media on is getting the word out about some of the things that are going on. People do have anxiety, they're sheltering in place for the folks that've been in the tech industry, working at home and being virtual has been part of the thing. It's not a big thing but from some of the people it's like a first time thing. And also it's also highlighting a disruption that kind of is off the books if you will, the classic continuous operations and disaster recovery was also confined to power outages or hurricanes or all those things that we people are protected against. But this is just a surge of the herd of the people going home. It's causing an at scale problem and showing these challenges, but there's also opportunities. What's your take on this? How do you see this evolving? What's your view of the current situation and some of the comments? >> Yeah, I think for most of us we're in a little bit unchartered territory. I don't really know a whole lot about medicine or the details of the virus or how pandemics happen. But we obviously have to, we deal with the consequences of it. And so I think right now although, I think it's a fairly bad situation for a lot of people, just having been through a couple of recessions where we all went through 9/11. The world does turn around and you come out the other side. And so the key thing is you start like a very much as a cliche, but you've got to live in the moment, "What can I do right now? "What can I affect right now? "How can I make sure that what I'm working on "is a value for when we come out the other side "and when more curveballs come along?" I think you've got a reason about that with the best information you have at the time. So I almost feel like you very much, you've got to just live solid like day to day, week to week, listen to the data and adapt based on that. But it's certainly starting to reinvent how work is done. I think we've all worked from home at some point. We've all worked using our equipment at home. But the prospect of working that way for months on end and it maybe been the new way of working, is a whole new ballgame. So I'm a big believer that this will fundamentally change the way we work. I don't think we're going to go 100% back to the way that we were, and there's going to be quite a lot of readjustments, and I think in that world, there's going to be some new companies come along that are big winners. And by definition, there's going to be some big losers as well. >> Well, people who know theCUBE know that I'm a big fan of you as an executive. I've seen the vision, you have also great technical shops and product shops, but also a good operational view. You've always been a fan of digital. And I think if you look at video conferencing, for instance, WebEx as a Cisco thing, great bulletproof of the enterprise, but Zoom has come across the scene. I've never seen so many Zoom parties. I did one with my family that they actually liked it. They were having fun. We had cocktails raising the wineglasses up. So people are Zooming their CUBE in, we're doing interviews. So video now is not just a corporate thing. You're seeing the engagement of digital taking on a new life and this is a whole new roles and responsibilities that we might reimagine how people do their business because with the events being canceled that are going on, whether they're concerts or just industry or tech events or any event, that physical space is gone, now it's going to digital. So how do you replicate the business value or personal value from physical face to face to digital? It's a whole new venue, there's new roles. It's complicated, it's a complex system. What's your thought on that? >> It is though, but what I have been pleasantly surprised by, I'd love it going in the office. I love the engagement with people and hanging out in the office. And so I was not really a big fan of remote working and virtually working, but I have to say, not only now where we virtually work in and we do the Zoom meetings and that's all well and good. It's a big cultural thing with at Observe to do a game night. And so we thought, "Well, why can't we do a virtual game night "and lending some trade secrets here? "But our favorite game was Secret Hitler." >> Yeah, that's a great game. One of my family's favorite. >> Turns out there's an online Secret Hitler. And you know what? The first time we played it, one of the nice thing is we've got less than 20 people in the company. So you got 12 or 14 people online. It's actually manageable. But I have to say, I'm almost embarrassed to say, it was almost as good sitting there with a drink playing virtual Secret Hitler as it was sitting around the desk. And so now I'm thinking when we go back to work, maybe we don't need to leave our desks and go have a drink together. We can just sit there on Zoom and play the secret Hitler online. Then you start looking around, "Well, what are the games can I play online?" Not like for one or two players or five players and I'm not talking about playing kind of Halo or something like that, but good collaborative games for tens of people to play at once. There's not as many as you think. So I feel like the social aspect of it, I mean, online gaming I think is huge. But even the video conferencing software, you would have thought that we would be done WebEx by now, right? I mean Skype and WebEx, we've had those for years, right? And so how does Zoom, which does guess what, video conferencing come along and start to clear up. And Zoom is not perfect by the way, but this is almost the crisis that they needed to make a fabulous business. I do believe as we start to come out the other side, I think there's going to be much, much investment in the VC world, on improving that remote work experience Because as much as me and you can talk to a video session, we can't collaborate and work together. The tools for doing that, I think still are relatively poor. >> I think you're onto something. Zoom by the way, had 10 million active dailies in December. This month was 200 million rocket ship. They got 90,000 universities. They essentially made some good moves. I think that's going to be good, but you bring up a good point about these new kinds of opportunities that are going to come out the other side, which is, think about Secret Hitler. For the folks who don't know, is a great game that you play with people, in your family or in friend group like Cards Against Me. And if you know that game, it's a similar thing concept, but you have different games. It's really fun, you should get it. Check it out online. But think about that online gaming or just what engagement means socially. I mean the old web days or just like a couple of months ago was individual engagement, "Did you like my tweet? "Did you like my Facebook post?" You're getting at something that's little bit more of a social organizational construct of group engagement, intimacy. >> Right, and the thing is we would do game night once a month and we'd get videos in and get the teamed together. Once a month was good when everybody had their own life to deal with. Now people are craving like, "Hey can we do this like every week?" And I wouldn't be surprised if the frequency increases from that, but I think that just almost speaks to human beings and that we crave social interaction. And even though most of the people at Observe are engineers and by definition should not enjoy as much social interaction, they do. They love it, right? And to me, that gaming and social direction, that's part of work. And so you have to have a virtual environment that can reproduce that. >> I mean, it's very interesting to see some of the entrepreneurial exercises or pitches that come out of this because I think it's going to be a Renaissance, it's not Renaissance 'cause it's going to come back. It's always been there. But the new kind of entrepreneurial products coming out are going to address these things. And the question I want to ask you, 'cause you've been on the big company, you've done extremely well in your career, than you get back down to your roots to doing startup, you're launching, you haven't yet launched. So you got hit right here, you're working at home sheltering in place. I was talking to a couple of VC buddies, venture capitalists, and they're saying, "I'm reading books and I'm doing research "but I really can't meet people." So their work has changed. How do you see the investment community reacting to this? Certainly valuations might come down. Obviously, their limited partners are being hit with the stock market. You're seeing a disruption. What do you see going on in the VC world around this cold hard time? >> I mean certainly all VCs are not created equal. So I think there's going to be different perspectives based on the background of the DNA of the VC involved. I think certainly at Observe, I feel very fortunate that we've got a sort of Hill Ventures. So these guys were the investors behind Snowflake and behind Pure Storage and many other good companies but they're very longterm investors and their advice to me has been, "Well look, "some of the most innovative times if you like, "have been during and after a major crisis. "And so if you make short term decisions "to get you through those crisis, "they're all terrible but they don't last forever "and there will be another side. "And so make good business decisions "and good investment decisions through this "because there will be winners "that emerge on the other side." And that's really what I try and get the team focused on is, "Guys for now, we're sort of hunkered down "and it feels bad, "but we're probably more privileged than most. "And we have an opportunity maybe on the other side, "to take advantage, we don't have a revenue stream, "we don't have existing customers. "We can sort of take this Greenfield business "that we've got and you go on the offensive "when things returned to assemblance of normal." So The Hill had been fantastic. And I would hope that most VCs retain that perspective, which is if it was a good company three weeks ago, it's probably still a good company today. And the best way to create value is to sort of empower I think the CEOs and executive teams to make the right sort of longer term decisions. Try and capitalize when you come out the other side because there will be losers as well. And I think the wrong decisions now can put you on the losing end of that equation in three, four, five months time. >> Yeah, that's a good point. If you are a good company just a few months ago or even weeks ago or a year ago, you're still a good company. That's really going to be a tell sign to what happens in some of these companies. If I got to ask you a more focused question on this whole, which side of the street are you on? Are you riding the wave or are you going to get taken away and washed away with it? Because there are bets and well, I want to get into Observe in a minute, but you mentioned Snowflake there in the Cloud wave. Obviously, that's pretty bullish. We're still bullish on that. Obviously, it's going to be game changer. But is there a tell sign for the kind of bets that those good management teams need to make now? Because I agree with you, when the Dot-com bubble burst in 2000 and really 2004 kicked back up again. 2008, we saw that post and a lot of great companies were created. So what's your advice on which side of history do you need to be on here? I'll say Cloud is one. What is your view on that? >> Yeah, I mean we felt for many years, it's not just since I went to the startup, but I am a huge believer in this transition to digital businesses. Frictionless interactions, automation, yes, obviously people are required to run a business, but if you could run a business remotely, or the businesses automated in a way such that it doesn't require hands-on operation, then that's a beautiful thing. And my belief is that, this terrible situation will force people to really think seriously about what the digital business looks like. If you don't have one, then that you may not be able to be in business in a year, two, three years down the line, right? There'll be some carryover, but I think the smart businesses are going to be able to function in an environment such as this. >> Yeah, I think that's great. >> That's going to be playing on everybody's minds. Now more than ever, I think that the digital business is a necessity. >> Yeah, I was just talking to a colleague and we were just talking about how all of the events got canceled and you've had the history running some of those best events ever in the industry at EMC. And we participated in those and you know your staff when it comes to events, there's economic value in these physical events as a venue, Science Convention Center in Moscone here in San Francisco. I mean there's a lot of things that go on, a lot of decision-making that's been standardized over the years and there's an economic value that comes out of those events. Now that's gone, and then these little digital teams, some companies have like five people, two people, sometimes maybe if you're lucky you have 10 or more or a department. And then you've got demand generation. All these guys are being told now, "You have to make up for the shortfall "in not just leads but value." And this just has been a big burden for some of my friends out there who are like, "Wait a minute, you want to take that and move it over here?" It's been kind of a challenge. What is your view on this? Because a lot of people are trying to figure this particular problem out on how to make digital work today and have some extensibility and get success. What's your take? >> Well, I'm still a huge believer I mean, whereas sort of like we just saw digital marketing content is still very much King, right? If you can produce a compelling piece of content online, TV quality with a depth of knowledge that you're going to attract an audience, now can you then make that experience interactive? Can you engage the audience in a deeper way? Yeah, you're probably not going to have something which lasts for a full day or for three days online, but I think it's really going to force the creativity on the content side to another level, right? It can't just be talking heads and PowerPoint pictures. So that rethinking from first principles, what an online conference or an online experience actually looks like in a way that it engages the people who are watching. To me, those folks are going to go do very, very well. And the economics, I know how much it costs to put on a conference for 10 or 15,000 people. And by the way, I know how much it costs to put on a virtual event for 10 or 15,000 people. And the economics are astounding in that difference. Now if you're physically somewhere, you can feel things that you can't feel online. Come on though, this is a problem that requires some innovation to solve, right? We've talked about virtual reality and augmented reality, but it's still pretty clunky and relegated to sort of niche use cases and bad games. But at some point, that technology has to reach the point where it can be useful and engage in a new. You can approximate to that physical experience. But I think that is going to be critical but many businesses even beyond sort of marketing and virtual events and that kind of thing, many businesses are just going to have to reinvent how they engage and interact with their customers and the automation of their operations and how do you get by when you don't have as many people physically in an office or operating machines? Everybody's going to have to think through that. >> Yeah, I think that's great insight and that's going to be a great clip that I'll share and I think that's going to be inspirational for the folks trying to solve that problem. The things that we're focused in on, as you know, and this is something that we're doing a lot of work on, is the engagement with groups and you mentioned The Secret Hitler as the game, they're going to see some new clever things go on. And I think the group dynamic and having people in whether it's virtual and physical spaces exchanging credible things, ideas or jokes or whatever is going to be a new kind of dynamic. >> Yeah. >> Because that's going to have to fill the void. >> Yeah, I mean I've got a small company so we can play these individual games, but just think about some of these board type games where I want to have three teams and I want to divide the company up into three. The logistics of actually figuring that out is ridiculous and it shouldn't be that way, right? And so these are basics of human social interactions. We want to play a game together, we want to divide up into teams. But that sounds like a relatively trivial thing, but try and find the number of games available that allow you to easily do that and each team interaction independently of the others, it's almost impossible. >> It's going to be fun to watch and I think and I hope we're going to learn. Well, thanks for the device. Let's get back to your startup. Let's get a plug in for that, I want to get the plug in. I've seen you in stealth so you can't really go into great detail, but you have been talking to customers. You are obviously related, that's related to Snowflake, but you were going to do some things with Snowflake. You're in the Cloud. Can you just take a minute to give a plug for what you guys are doing for the people who want to know what you guys are leaning towards in terms of the value proposition? >> Yeah well, when I look back in my career, one of the times I enjoyed the most was the time at Oracle and working with data. And I've been fortunate enough for the last four and a half years or so to be on the board of Snowflake. Couple of ex Oracle guys, Benoit and Thierry founded the company and they've reinvented the database. And I felt like I've sat for 20 years looking for the second coming of the database and we all were sort of had fake thinking it was Hadoop. And turns out it wasn't. But I think Snowflake and the separation of storage and compute that allows them to sort of scale and have a usage-based pricing model, I just think is absolutely revolutionary and I think it's going to be one of the great companies of the new era. And so when I was there when I looked at Observe, really the thesis was that using a platform like Snowflake, you could potentially reason about unstructured log data. It's all like Splunk. You could reason about time series data, a little bit like Datadog or tracing data like AppDynamics or in fact any data, you could reason about it together. And today, if you look at the world, it's like if you want to do something with logs, you go get one product. If you want to do something with relational data, you get another, if you want to do time series data, you get another, you want to do tracing, you get an APM tool. And nobody has the big picture, right? Everybody's got their own little piece of data and their own perspective on where the issue might be in your company. But nobody really knows and it's usually put together in the brain of, of the smartest guy in the room. And so I thought it was quite simple. At Snowflake, you've got this commercial database that can do instruction data and time series data and relational data. And what if we could collect all data within an organization together, structure it, relate it, and then imagine what you could find out about your infrastructure, your applications, your business? >> Sort of unification? Does it have like unification kind of concept for users or IT? >> Yeah, I think the emerging category would be observability but it really is a collapsing of log analytics, metrics monitoring and tracing into this new category of observability. We don't necessarily just view that though as sort of data coming out of Kubernetes clusters or out of AWS or wherever. We actually could ingest security data. We could ingest data from people surfing using your app or surfing your website. We could take logs coming out of machines on a factory floor. So the way we built the product, it can be literally any kind of data. And we try and structure it and relate it and make sense of it and then make it very easy for people to navigate through it and determine issues and problems. So yeah, we're pretty excited about it. And like I said, we could not have built this even a couple of years ago because I don't think Snowflake would have been there. And in fact, that was one of the big risks when we started the company. Can we build it on Snowflake? And so here we are two years later and we think we can. Well, we're sure we can do it. >> Yeah, they've had a good run too. I mean, look at the growth of Snowflake. >> Yeah, it's crazy. I've never seen anything like it and in the last 20 years and B2B, I've never seen anything like it. So just like I felt in the mid 90s when I was at Oracle, people were making decisions to go with Oracle and then saying, "Hey, help me get all of my other data in that, "my mainframe data, my this, my that." I think Snowflake are going to go through the same sort of growth phase and hopefully with Observe, we can be like, "Hey, if you want to put "your unstructured data or time series data, "we can help you do that very easily." >> Well, this is exactly the current wave that you want to be on the right side of because like you said, just a year or so ago or a couple of years ago, it wasn't available. This is kind of the new capabilities. >> Yeah, I feel like there's going to be a lot of businesses, grow ridiculously. You talked about the Zoom numbers. These are ridiculous growth numbers and there are going to be companies come out the other side that take advantage of the new environment. And as they're growing, as they're scaling, as they build these new microservice-based applications, they're going to run into issues and we hope at least that it's products with our kind of architecture, that's going to be able to help these fast-growing businesses. So yeah, as I said, we're somewhat fortunate in that we don't have a product yet, but certainly on the other side of this, we think there's going to be plenty of opportunity to help a few folks. >> We know you got to do a launch and we're looking forward to hearing more and getting the briefing, and looking forward to hearing more about it when you go public. And yeah, thanks for coming on and taking the time today. I know you got your daughter's birthday party there and you're going to have some celebration. Thank you for sharing the insights on your vision of digital. I thought that was very compelling and great to see you and stay safe. >> Great to see you. Yeah, my 18-year-old, it's got a birthday party and she like always would worry, "What if no one shows up?" Well, today she knows no one's going to show up. >> Except for her family, yeah. >> It's going to be down in the family, yeah. So thanks for that and you guys stay safe and been great the last 10 years knowing theCUBE been that long but hopefully, here is the next 10 years after this current situation is over. >> Yeah, looking forward to it, it's going to be a lot of fun rye and get the content out there. And again, thanks for coming on during this important time and sharing your insights and also just making some entertainment here. We're getting some conversations so people can fill the void and play some games and have some fun. Jeremy, thanks. Great to see you. Jeremy Burton, senior executive in the industry. I've known him for years, been a CUBE alumni since theCUBE was formed. Now the CEO of Observe, sharing his insights on the industry but more importantly, how to be successful, how to come out the other side. Don't be too optimistic. Be focused on today and get through it. That's his advice. Of course, we're theCUBE bringing you all the data as we can now with remote interviews during this time. Thanks for watching, I'm John furrier. (soft music)

Published Date : Apr 2 2020

SUMMARY :

connecting with thought leaders all around the world, It's going to be part of this whole new guard. No, thanks for the offer. that kind of is off the books if you will, And so the key thing is you start like a very much And I think if you look at video conferencing, and hanging out in the office. Yeah, that's a great game. I think there's going to be much, much investment I think that's going to be good, And so you have to have a virtual environment because I think it's going to be a Renaissance, "some of the most innovative times if you like, If I got to ask you a more focused question on this whole, but I think the smart businesses are going to be able That's going to be playing And we participated in those and you know your staff But I think that is going to be critical and I think that's going to be inspirational and each team interaction independently of the others, It's going to be fun to watch and I think it's going to be one of the great companies So the way we built the product, I mean, look at the growth of Snowflake. I think Snowflake are going to go through the same This is kind of the new capabilities. and there are going to be companies come out the other side and great to see you Great to see you. So thanks for that and you guys stay safe on the industry but more importantly, how to be successful,

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Shail Jain, Accenture, Nitin Gupta, AWS, and Sumedh Mehta, Putnam


 

>>live from Las Vegas. It's the Q covering AWS executive. Something >>brought to you by Accenture. >>Welcome back, everyone. We are kicking off day two of the cubes. Live coverage of the ex center Executive Summit here at AWS. Reinvent, I'm your host, Rebecca Knight. We have three guests for this panel. We have some bad meta. He is the chief information officer at Putnam based in Boston. Where? Boston People together. Thank you so much for coming on the show. Nitin Gupta. He's the partner and solutions lead. Financial service is at AWS Welcomed and Shale Jane back again for more. Who leads the data business group in North America. Thanks >>so much the last time. >>Yes. We can't get enough of each other. So thank you so much for coming on the show. We're talking about the data data journey and financial service is so I'm gonna start with you, Sam. It tell us. Tell our viewers a little bit about Putnam. That your assets under management. Your employees? >>Sure. So you know, problem is a global firm. We are a leader in mutual funds in the mutual fund business. We're in 84 year old organization. We based in Boston on, and we are known for innovation. We've done a lot of firsts in our industry on our focus has always bean looking after the needs of our shareholders. So even as we launch digital transformation, we launch it with the lens off, making sure we're covering the needs of our shareholders. >>So what was the impetus? What was the driving force to it? To embark on this cloud journey? >>Sure, So you look recovered. The financial markets recover industries. We look at our own industry as well. Things are changing rather rapidly, right, if I may just turn it around a little bit. Last year's letter from our CEO Bob Reynolds, said That problem now has Maur increasingly Maur four and five star funds, according to Morningstar, then we've had it as a percent of total funds ever. Before we had inflows, when the rest of the industry were having outflows, we built a digital platform and we said digital technology at problem is how we gonna view the internal technology department who will help enable our company to go and provide the investment insights directly to our advisors and to our shareholders so that they can benefit from the performance that we're we're delivering, right? We can only do that through a change. What's really going on in our industry is that there's more choice that's now available to shareholders than ever before. So while we talk about where there's outflows in in in our world, there's actually a lot of flow happening, right, So So it's for us to figure out how. How are the tastes changing right? What are people buying would do advisors need? When do they need them and can reposition ourselves to service them at scale, and so that those are the things that are driving our business? For us to continue to serve the shareholders needs. We really need to be in tune with where the market is. So we're helping do that at Putnam through technology, >>so shale in it. And I mean, what he's just described is thin. This enormously changing landscape and financial service is disrupted by a lot of new entrance. A lot of financial text in tak, a lot of different kinds of technologies. A lot of industries are experiencing this rapid pace of change. How do u ex ensure in AWS work with Putnam amidst this tremendous change, and how do you sit down with the client and sort of work out? Where do we go from here? >>So you know, I want to touch upon a couple of things that made you said And Rebecca You said, So no one is the cloud of their journey. It's It's not a destination that you're trying to get to, And then the other thing that you talked about, it's change. So we had in the cycle right now. But there's a lot of change happening at an industry we had in the cycle Where you nothing, that $38 trillion or something, which is a generator, you know, they're just getting transferred from one generation to the other. I'm not getting any off it. Unfortunately, you know >>all of >>this change that is happening in the industry. What is really required is you need something up in terms of technology, a platform that allows you to move quickly on adapt really quickly to this change. And I think that's where cloud comes in when we talk about all the new generation technologies like data machine learning, artificial intelligence, how >>do you >>leverage all of those. How do you fail quickly? How do you test experiment? Run thousands of not millions of experiments and see what will work in what will not work and do that in a very cost effective way and cloud of a very easy. It's an effective way to do it. And the weight of Louis is helping our customers. Obviously. You know, we we announced a bunch of service is yes, today way have the widest and the deepest tack that is dead in the industry today. You know the strength of our partners. Accenture. So you know, Accenture has Bean one of our longest standing partners altar and financial firm on, you know, working with them, working with our partners to enable our customers. But then we're also investing very heavily in building our industry capabilities. Are accounting solution architects? Professional service is security professionals helping our customers answer all the questions that they would need to answer as they go in this journey with us. So it's, you know, we are in this with them for for the long haul on dhe, you know, super excited about parking trip. >>So from our perspective, I think where we view the world as at a point where we're post digital, where digital was to put a front end that made your engagement with the customers much better. But now we're talking about intelligent enterprise, which is to really digitize the company from the inside out. So not only you need cloud for agility and all the other benefits that cloud offers, but you also need to look at data is the vehicle that would actually not only transform the culture of the company but also be able to integrate with your partners. For example, Cement talked about, you know, getting mind share from the advisers. But if you can exchange data, integrate data much better, faster with them and serve data to them in shapes and speeds that they need, they'll be more amenable to put you on their roster as well. So I think we're seeing a change that's mostly driven by the fintech industry disruption. That's that's happening as well. And it is no better time than now with the cloud and data to really help transform companies like >>the's tons of innovation, right, it's We heard Andy Jassy talk about the Let's roll Sweet the Sweets that are available to us. Our job is to learn what they are and how does it apply to our business because at the end of the game you said it's about our shareholders. It's about the value that we can bring. But we want to harness the power off all of the innovation, and we can't even though we've Bean an innovator, we're not going to innovate alone, all right, so it's really helpful to have to surround yourself with partners who have done this before, to be learning from others and bringing in the right tools at the right time, so so we can turn things around quickly, right? This is way are obviously very conservative and risk averse when it comes to managing other people's money. So we have to be very, very careful. Having said that, you know, we want to learn about all the guardrails we can put in place so we can go faster. >>I want to actually do something about what Shayla brought up, and that is the cultural change within the organization, because change is hard and so many people are resistant, particularly when things are going relatively well and they say Why mess that up with the new technology? So how is hard? Maybe >>is the understatement of the week very hard, and as you guys know, you know where it's not. It's not hard because people don't just want changes. They are experts in things that they've been doing for the last 15 years. 20 years. They've bean at our firm for a really long time. They really know how everything works from front to back. What happens, though? Now, when we get a changing need from the market and people want to buy things differently and we want to sell different products and maybe wanna introduce new products to the market, we can create bottlenecks that slow things down if we're not careful. So this is where we want to learn about the two pizza teams and how you can do things faster. How can we apply that to our world? Which means business partners working with technology, co located in small teams, being completely empowered to deliver solutions, right, working with our risk and compliance people, making sure that everyone's doing things that there were supposed to be doing right? How do we put that to work in the financial service is industry. So where we're learning as we go, we're learning to break down the sidles in the organization, and it's hot all the way around because we're experts in our areas. We know what we've done really well. But fortunately we have a leader in our CEO who's basically said that Let's transform problem so that we become leaders in the digital era for financial service is so with his support waken. Get the executive team align, and as the executive team aligns, then you find that people in the organization they want to work in this model, right but way don't know yet what we don't know, right? It's so we know how to do things from yesterday. Now we're learning and working together. So you guys have come in and this is where we've said, Bring in the people who have done this before and let's hold a session with 40 50 people that Putnam and let's just learn about what that transformation looked like at other places, so we don't make the same mistakes. >>Well, that's what Andy Jassy said in his fireside chat this morning. He was talking about how he had surgery recently in the question you need to ask your surgeon is how many times have you done this surgery? Because that is the critical thing. And so having a trusted partner is so important. So how how does it work that we're working together, collaborating on this relationship? How are you ensuring that Putnam doesn't make mistakes and does do the right tool for the right job shell? >>So, um, earlier this year, we actually launched an offering. A devious lighthouse with eight of us and what it is is a is a collection off. All of our assets are thought, leadership and architectures that we have garnered over the years, having worked with plants like Putnam and have them through the journey. So we put them all together and we bring Bring that Fourth Putnam is one of the first clients actually take advantage of it Abuse Data Lighthouse and, for example, we have a methodology that is specially customized for doing data on on eight of us. So things like that is what we bring to the table to help eliminate the risk that they may encounter. >>And data is critical to us, right? It's we manage a set of data assets, and that's the engine off the organization. So when we look at cloud migration way, look at what's our data strategy? How are rebuilding the so called you guys introduce the terminology for confirmed data sets? And then can we gallon eyes the rest of the organization around it, from investment professionals to operational professionals who used that data every day. Manager governent Make sure that it is what it's supposed to be. And to do that in a cloud environment where their user experience becomes a lot simpler, a lot easier almost takes I t a little away from the day to day. We don't have to be in the report writing business because we can make them more self service right that will create efficiencies in our organization. Our clients are asking us to do things at a lower cost than ever before and introduce more products and more tools and more service is right, so >>I would just tie with Samantha, just said with your question about culture. So if you can make it easy for people, for example, making things self service and data that's discovered through a catalog, so you have a place where you can go and find all the data sets it available. What is the quality? What is the veracity of data and then be able to take a piece of that and try some experiments with it? I think that would enable the cultural change much faster >>because they are able to basically do their jobs better. >>Yes, yes, >>it is. A is a more productive implement. Will highly >>engaged employees, right? We don't want to be in a situation where we find a lot of those disengagement moving employees and the mission for company. We want high engagement. We own people committed to what they're doing. We want to remove hurdles, and technology is they can produce great efficiencies, but it's not done right. It can also be a big hurdle. So we want to learn how to deliver the right tools, the right products to make it easier for way like to say, bring delightful experiences for our clients and our employees. >>Delightful. Another were another Jeff Bezos favorite word of his Obviously Putnam is, is a real innovator and really on the vanguard of this new technology. What are you seeing in the greater financial service is landscape. I mean, how how what are the what is the corporate mind set when it comes to this kind of change? >>So you know, when we look across our financial service is customer base across banking, capital markets, insurance pretty much every customer today. The question is not, you know if we should move to the cloud or when should we move to the cloud? But I think every every CEO and see io is asking the question, How do I move too loud? And what applications do I move over? How do I start on this journey of transformation? Whether it's a digital or it's reducing costs are improving my risk. Posher whatever that end goal is on dhe, you know, when we look at use cases across the industry, risk and data is with one of the easiest use cases to get started with, say, on Ben Field. They were looking at Solvent E to calculations for 25 million other policy holders, and they reduce that time from 10 days to 10 minutes. That is a, you know, really good use case off getting moving to the cloud. You know, if Indra is a great example. They're very public customer analyzing 38 building over market records in the stock market and looking in on alive in all of the data. On it up with data and risk is one of the core use cases that companies start with but then >>has to >>get more as they learn more about the cloud. As they get more get a deeper understanding, they start looking at other things, like Transforming Corp core applications. Today we have core creating applications, scored insurance application score, banking applications that are running running on the cloud. And then they start looking and innovation. You know, how do we look at artificial intelligence? How do we look at machine learning? How do we look at the new technologies to really transform our business and one of the great use case? And we thought so. You know, a lot off insurance companies Liberty Mutual using Lexx as part of their there was a conversational agent for their customers. But one of the interesting examples I have is it's ah, it's a reinsurer in Denmark, Italy insurer in Denmark, and what they're doing is they're using image recognition from from Amazon to look at on accident in the field and then analyzing that, using the using our recognition service to see what that that actual damages and what the cost is and feeding that information to the underwriter really compressing the time that it takes two from a clean filing to processing and payment to a matter of a few few few hours on getting that payment to the to the customer. So really creating a very positive customer experience. >>So it speaking of customer experiences, what have you know? You said you thought you were in service to your shareholders. What have been some of the results that you've seen? >>So you have to look across the organization, right? So our advisers served the need on the retail side, so we were like a bee to be business, right? So we have to be cognizant of what's going on in their world. They're sitting down with clients and talking through the choices, and they have certain needs what they need to fulfill their obligations. They need to explain why they're doing what they're doing. If Putnam knows where each of the advisers are at in their journey with their clients, we can be more helpful to them in explaining why our funds are behaving the way they are right, that information can be had at the right time at the right moment when they need it. Need it, And that brings advisers closer to our our teams are retail distribution teams are marketing teams are investment teams are investment professionals, are using data and analytics to get information to. We're using technology to get information to them faster, so companies are doing releases. There's a ton of information out there these days. We're using technology to dig deeper into the press releases as well as the SEC filings, looking at the footnotes, really trying to understand what they're trying to say, what they said before and what are analysts should be focused on. And we can take a 70 page document, condense it to seven pages and pinpoint what the technology tools say's are really insights. And the analysts will take the time and read the whole thing. But they'll also look at the insides and they'll add it into their process. So technology's additive to the investment process and really making a change help and then that's helping Dr performance. So at the end of the day, we're living good performance on our funds through data analytics technology, you know, give you another example. Some off the were were very strong in the in the mortgage analytics business and on the fixed income side. Our team's very well known. They've been together for many, many years now. They're starting to use data at scale, and we found that being able to go to the cloud to do these analytics right in hours instead of days has really made a material difference in the number of iterations we can run. So now the questions are, when we do risk management, can we do that a little differently and run more reiterations and get more accuracy? So we're seeing all of that benefit. That's direct user experience, that people are seeing people seeing how technology is helping them do a better job with their thesis. >>Excellent. Thank you so much for coming on. The Cube seem ed knitting and shale. A pleasure having you on. >>Thank you for being here. >>I'm Rebecca night. Stay tuned for more of the cubes. Live coverage of the Ex Center Executive Summit coming up in just a little bit

Published Date : Dec 9 2019

SUMMARY :

It's the Q covering He is the chief information officer at Putnam based So thank you so much for coming on the show. So even as we launch digital transformation, We really need to be in tune with where Putnam amidst this tremendous change, and how do you sit down with the client But there's a lot of change happening at an industry we had in the cycle Where you What is really required is you need something up So it's, you know, we are in this with them for for the they'll be more amenable to put you on their roster as well. It's about the value that we can bring. So this is where we want to learn about the two pizza teams and how you can do things faster. the question you need to ask your surgeon is how many times have you done this surgery? So we put them all together and we bring Bring that Fourth Putnam is How are rebuilding the so called you guys So if you can make it easy for people, for example, A is a more productive implement. So we want to learn how to deliver the right tools, the right products to make are the what is the corporate mind set when it comes to this kind of change? So you know, when we look across our financial service is customer base across banking, a matter of a few few few hours on getting that payment to the to So it speaking of customer experiences, what have you know? So at the end of the day, we're living good performance on our funds Thank you so much for coming on. Live coverage of the Ex Center Executive Summit coming up in

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Dave Baldwin & Satya Addagarla, Fannie Mae | Accenture Executive Summit at AWS re:Invent 2019


 

>>live from Las Vegas. It's the Q covering AWS executive. Something brought to you by extension. >>Welcome back, everyone to the cubes. Live coverage of the ex Censure Executive Summit here at AWS. Reinvent I'm your host, Rebecca Knight. We have two guests for this segment. We have Satya Adric, Carl Adder Gala. Sorry, He is the VP single family technology at Fannie Mae. Thanks so much for coming on the show. Satya >>glad to be here. >>And we have Dave Baldwin, VP Architecture, Cloud Engineering at Fannie Mae. Thank you so much for coming on the show D thanks >>for having us. >>So we're talking today about transforming the mortgage industry through through the cloud. Fannie Mae is obviously a foundational part of the US home mortgage industry, and it's been around for a long time. But at a time right now, where there is just so much tremendous change going on in the industry, particularly with the emergence of fintech and other push button mortgage providers, talk a little bit about the last 3 to 5 years. In terms of the changes, you've seen two to the business. You want to start? >>Yeah, I will. So So when we look at the industry changes. What Fannie Mae does is mostly in the secondary market, so our core business hasn't changed from the point of taking the lone synchronizing and selling. However, in the mortgage industry, when we talk about the bar or experience and then the lenders how they have improved the experience across the board, I think is it has been a huge shift right three years ago. The discussion has bean always about Hey, can we do more reliably? Can we do more faster? Right? Those were the conversations, but now the expectations off our lenders and bottles have significantly increased. Right now, they're talking about user experience. How can we meet our bar or where they are, Right. So the lenders have got a lot of expectations on us in terms of how do you feel? Feel that that is the first biggest change in the realm off several of these, right? The 2nd 1 ese, the data has become the currency now, right? It has significantly improved our posture around finding about, um, their assets that income, their employment. Right. So you guys may have seen a lot off David surgeon. It is a product that we have launched in that well, so data revolution has been a big change. And then how we're utilizing that to serve Margaret's industry, our lenders and borrowers, thereby we also reduce the risk within the industry. Right? So those two have bean huge changes. Then there is a technology revolution in terms off AP eyes, Microsurgery says. How do I plug and play? How do we reduce my cost when I'm locking a bottle or two alone? Right. And these are the things that are lenders have bean pushing us on right? Reduced the cycle from somebody coming to the application to taking a loan, closing alone and delivering to Fannie Mae. Shrink the timeline and in doing it, reduce our costs. Right? So these are being like more and more expectations Have bean really set from the border for a few from the lender point of view on Fanny me and all our innovation. Our transformation is all about meeting them and also setting standard for them. What is great in this industry and that's that's what has been going on in the last 3 to 5 years. >>Yes, and that you just laid out a tremendous number of trends and all this disruptive change when you were trying to meet these new expectations from your lenders and your borrowers. Dave. What? What are the in making this journey to, from to to say, I'm sorry from to the Cloud, How are you thinking about these challenges ahead at a time where the user experience is so important? Data is currency and this technology revolution, >>well, it's a big change and, you know, and it's a change across people, process and technology. So if you think about it, what we've done is we've started to trade a new operating model, which really is a lot more engaging, and and it requires an uptick, a scale and really ah, a new way of working right. We've even gone as far as to introduce lean management in a tools and processes. But if you think about it, the people definitely have to change. If you think about it from a process point of view, you're you're really looking at reimagining the way some of the mortgage industry works right, because there's a lot of demand for it. At the end of the day, the customer expectations and especially If you go all the way to the borrower, the customer expectations is very different. You know, they're very they they don't understand unnecessarily why they would have to fill out all this paperwork, right? When don't you already have the information? And to sati is point about data. That's why it's so important to get that data together. Because if we can harness it right, then we can truly start to re imagine these processes and make it so much easier for a borrower nor a lender to work together and eventually work with us. So and then finally, you know, from a tech point of view with the introduction of the cloud, you know, that new foundational sort of technology that really gives you something to pivot off, you can really you can really start to take advantage of the micro service architectures and the new technical capabilities that can help make this really right. And so that's That's generally how we look at our digital transformation and and as you start to think about prioritization, how do I move those? How do I think about the applications that are going to change and how they're gonna neither either Transformer moved to the cloud. You really start to think of you know what business value and I'm trying to achieve 1st 2nd 3rd right? And then what applications won't make it, You know, they're gonna be completely redone. And what applications? Frankly, we're gonna have to move along with it to manage some of the dependencies we're going. >>So I think one more point I wanted and Rebecca is that when we look at this B to B businesses, they're very tightly integrated, right? Our companies have been integrated when we are extending out information explained, extending the responses in the past. Anybody talks about experience, right? It is about Hey, there will be there are technological glitches, but you don't want to impact big. That's used to be the norm. Not anymore. I think when we look at now one of the top customer slate, if you blink from the infrastructure layer point of view, there is business loss. People are not just looking for resiliency anymore. People are looking for fault tolerance, especially when it comes to the top to your customers. Right. So I think we can see the underpinning off cloud and also how we architect our applications to meet that kind of need. It's not just about being resilient anymore. Gotta be. You cannot lose a transaction. But I think those things have bean more and more that we're hearing from our customer base, and we feel like the cloud journey is going to be underpinning for these types of expectations from our customers. >>So how do you work with partners like Accenture in AWS? When you embark on this journey and think through the your business imperatives and think through your strategy, >>I think when when we think about our partnership's. First of all, there are a lot of partners that we have and that we've had for years, as we as we really not only do digital transformation, but you got to run the business, too, while you're doing this transformation. And so you know, when you think about it, the way the wake centers worked with us is you know they number one have helped us with a cloud strategy. So that's a very hard thing to Dio because you think about all the different personalities in your organization and all the people that you have to bring together. You know what Accenture helped us with. It is to really level, said everyone and get everybody on the same page in terms of, you know, where we want to go on how we wanna head on this journey. The second thing that they helped us with was really the program management. So that's a huge undertaking to write and given the fact that it's very different and these are new things that we're doing in our firm. It's good to have that external expertise that that sort of done it with other companies and they can bring that to bear with eight of us. You know, eight of us is is one of one of the major providers that we're using. Thio post a lot of our business applications, and if you think about that there, you know we're taking advantage of their technology. We're leveraging some of their pro serve professional service is thio, help us get it right and help us sort of not only with the implementation, but in some cases the governance and control frameworks that are highly regulated. Organization like ours needs So >>and I think if you think about this from the scale point of view, right? Everybody knows there is war for talent, right? We use our partners in terms of how can we scale these things that are new operating models? New technological? Because there is a change curl in bringing up the entire employees based without extent, These guys can be catalyst. In addition to that, they can be scaled provided us, right. I think that's how we can I use these, But it is action generator B s. >>This morning during Andy Jassy fireside chat, he talked a lot about the importance of innovation and experimentation and trying different things. How What's the experience of innovation at Fannie Mae? How do you innovate with partners or just thinking about all of the changed expectations? How do you make sure you are trying to solve the right problems? Describe your process creative process >>again, I think, um, when we I think about this innovation process and how we do water in Fannie Mae right three years ago, it is about Hey, how do we get our employee base to think about the possibilities right on Veran bunch of hackathons innovation days so that you get excitement from the teams, but in the last one and 1/2 year. It's more about innovation that can reap benefits, right? So we call it as focused innovation. We have, ah, clear cut Enterprise Innovation team. And they're on some of these innovation days and whatever have you within the within the firm so that you get the ideas and we have a process called pitch. So all these ideas feeding to lack of a better time a funnel where we have this enterprise innovation groups actually scan through the I. D. S and then can identify what things we can use and where we want to put our innovation investments. Right. So there is, ah, set off funnel requirements and gates we go through to identify Hey, this is where we want to do. And how we do is that Fanny Me is a lot more design thinking shop, right? So customer is at the center of everything. So anything we do, we will have some sort of research first, right with the customers and then how that might push the needle such that it can reach different boundaries through innovation. Right? So our processes cultivated ideas from inside. Also, look at what is happening with the trends. We have a strong strategy group. They're gonna look at this and our innovation team is always on the hunt for Hey, what is happening in industry in the cutting edge, How do you bring these three dimensions and then come up with a bunch of ideas? And then we have a funnel process where we identified what moves? What's this? What stays? Because there are other things that are at play. Is this innovation ready for the market? Now? Does it have to wait that sort of There are so many dimensions that going to that. But we have a structure process, and we have AH, dedicated team who can manage is that yet uses the creativity of the employees to be able to participate in animation. I mean, that's how we have a wall this process from. Think of the possibilities, too focused innovation. >>I think there's one extra point as well, like when it comes to technology side of that, it's it's creating a safe place for people to experiment, right, So we have a sandbox, the environment that we've created, an Amazon there in eight of us, and what we're doing is we're actually releasing some of the controls. I mean, obviously there's security and compliance, but released some of the controls and and just put a few guard rails in place so that people can experiment safely and not impact our firm, you know, in a very negative way. So >>talk about your employees and how they received this, this major transformation, and how are you receiving feedback in terms of their productivity in their engagement with the process? Dave. >>So you know, I would say this. There are lots of different types of employees, right? And like I said earlier, we also have as we're building the new, we also have to continue to support what we're running. So So what we've done is we've actually rolled out on South. We'll talk about it more detail because his team rolled it out. But, you know, but we have rolled out some training. You know, we've created a change management process, an organization right. Working with our human resource is so that we can up left, you know, sort of skills. And that's what I think. What's important is you're not going to be able to find the people out there to do everything that you need to do right. What's really important is creating those opportunities to carry the people that you have in your organization along with you for the journey as they learn you benefit right as an organization. So but salty should talk about some >>of the training. Yeah, so I take your question in two parts one. Is that how the employee base is taking the message of this district transformation or don't have right again? We have a compelling vision and mission like people that fanny man, they what? They take pride in fulfilling the mission. That's that's the 1st 1 along the way, when we crafted our message around why we're doing this. That is a lot more compelling. It is meaningful for our customers, our employees, right? So I think the messaging has been very important. Then, when you look at the things that we're trying to do, our cutting edge right from the employee point, if you it is a lot of excitement, because that keeps them at the cutting edge of what is happening in the world that makes them more marketable, right? Naturally, people are excited about it, but like any transformation, right? There will be camps off who will come across the change car up front like they're catalyst. Right? And then there are some in the middle and summer can a lagging right? But when we look at the entire gambit off the employee base, majority off them are. Hey, we are on board with this. We want to do it. We want to learn, How do we get there? And the company has done several different things to help the employees through this kind of knowledge cover I would call rather than the change career. We have a whole bunch of training plans that we have laid out. People have been wall until early taking. I mean, maybe a classroom training, maybe a self, sir. Uh, type off, download this particular module and then kind of read upon it and then also provide them to practice them with the sandbox. Right? So all these things have been done. I think one challenge we had actually facing now is that we can train them up pretty easily if we haven't put them in a place to practice it. Then it kind of fades away. So we're now kind of trying to see. Okay, let's identify groups off people. Give them a tool where they can assess for them their own self. What I wanted to learn such that I can become that and then be eligible for doing that right so that now they learn. And then they're put in a role on a project that they can actually practice on. So we are in that posture of that right now. So I think, but employee base is really excited about this, >>So I want to. I want to end where we started where Sati described the myriad changes that are taking place in your industry and getting back to your your cause, which is helping the customer buy a home, get it, get it, get it more easily, qualify for a loan. Can you think about the customer experience of the home buying process 3 to 5 10 years from now? And how it will be different as Fannie Mae embarks on this on this cloud journey. Do you want to start David? Just think. Look into your crystal ball >>and it's great. I wish I had a crystal ball. That would be great, but but you know. Look, we're making significant advancements, you know, working, working with our customers, taking that customer first mentality. And, ah, and and, you know, the mortgage industry itself is right for a change. I mean, you know, and and we're in a good position to really help and drive a lot of that. So my expectation, if I were to look out, I would expect to see a world where you know that borrower experience gets a lot better. I mean, one of the things we've learned to our research is that you know what is it? 40% of people actually cry as they're going through the mortgage experience, >>and they're not tears of joy. No, it's actually, you >>know, tougher to get into a tougher to think through the mortgage process, you know, and really take that big leap than it is to, you know, our Cielo tells us all the time than it is to actually apply for college. It z, it's often on bigger life event our goal. How do we make that simpler? How do we make people have a much more pleasant experience? Right? Waken do that with our data. We can make sure that they don't have to fill out those amazing forms. Heck, find the information. Sometimes they don't have it. You know, we're in a better position, right? You know, really? Get Teoh. You know, I can't promise a single click experience, but we're all gonna try to aspire to that, because that's what the customers out there with their cell phones and their technology or used to right. So we've got to get at least somewhere close to being there. >>So in the bottle, it expedient sight. I think we can even now see one tap market. How do we get them right? I think that's probably not too far. It's probably within two or three years. That's if I were to think about that. But if you want to think about 5 to 6 years, 10 years, if I am an individual driving by a home and then take your phone and say, Hey, can I buy this home? That should be able to tell you this is your lender and then go. That's right. And again from Fannie Mae, a point if you re help the lenders and they helped the borrowers threat. So through this transformation, what we're doing is that set up an engine that can be nimble, that can move fast. That runs with the low investment so that if we were to pivot, do things testing, learn and then change your game. We are fully in the position to be able to do that, right So and however fast, fast, you can experiment, those many different ideas will come out, and then some of them will reap fruit. And all of these for two things, like for our customers. How do we benefit our company, Fannie Mae? And how do we move the needle in industry? I think these are the three things that we want to achieve through this transformation. And we're building an engine to be able to do those types of things. I wish I could say this is one thing we would do. That's not what we're trying to do. Being a position where we can move quickly, we can lead industry. We can set the standard and then make good for the good for the American house. So that's all stories. >>Exciting times. Thank you so much. Both for coming on the Cube. Satti on Dave. Thank you. I'm Rebecca night. Stay tuned for more of the cubes. Live coverage of the Ex Censure Executive Summit coming up in just a little bit.

Published Date : Dec 5 2019

SUMMARY :

Something brought to you by extension. Live coverage of the ex Censure Executive Summit here at AWS. And we have Dave Baldwin, VP Architecture, Cloud Engineering at Fannie Mae. the last 3 to 5 years. So you guys may have seen a lot off David surgeon. Yes, and that you just laid out a tremendous number of trends and all this disruptive change So if you think about it, what we've done is we've started to trade So I think we can see the underpinning off cloud and So that's a very hard thing to Dio because you think about all the different personalities and I think if you think about this from the scale point of view, How do you make sure you are trying to solve the right problems? And then we have a funnel process where we identified what our firm, you know, in a very negative way. and how are you receiving feedback in terms of their productivity in their engagement with the process? What's really important is creating those opportunities to carry the people that you have in your organization the employee point, if you it is a lot of excitement, because that keeps them at the cutting Can you think about the customer experience of the home buying process 3 I mean, one of the things we've learned to our research is that you know what is it? No, it's actually, you you know, and really take that big leap than it is to, you know, our Cielo tells us all the time That should be able to tell you this is your lender and then go. Live coverage of the Ex Censure Executive Summit coming

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Merim Becirovic, Accenture | Accenture Executive Summit at AWS re:Invent 2019


 

>>live from Las Vegas. It's the Q covering AWS executive. Something brought to you by extension. >>Welcome back, everyone to the cubes. Live coverage of the ex Center Executive Summit here at AWS reinvent I'm your host, Rebecca Knight. I'm joined by Marum Best Aerobic. He is the managing director Global Cloud and Infrastructure Attic Center. Thank you so much for coming on the show again. We met last year. So you're a Cuba Lem. >>Yes, I am. >>So we're talking today about moving a $43 billion company to the Cloud X Century. This is X Center as its own as its own use cases. But Accenture has been engaged in a major move to the public Cloud moving a company of the size and heft of ex center. Must have been intimidating. How did you even sort of wrap your brain around the challenges? Walk? Walk us through this. >>So you know, the tough part about working at Accenture is you have 480,000 people that work for Accenture or at least 1/2 a 1,000,000 let's say, and those half a 1,000,000 people all think they can do the job better and differently than you do, right. So the first challenge is our own our own organization. But I would tell you I say that, you know, just in a joking way. They're very supportive. It was. We're telling our clients the cloud is the future. So when we told our organization we're going to the cloud, it was massive support. It was what's taking so long? Let's do this. And now, granted, this was over a little over four years ago when we started the journey. So the cloud providers in the world was very different. So today we run, you know, tens of thousands of workloads on Amazon. We run all kinds of the capability to do cloud native. We do platform service's. We consume so much cloud service that, in my opinion, we're never going back to a data center. Never. >>So what Ex center is really well known as a big advocate of the public cloud? First of all, why? Why the public club? Well, the public cloud is >>the future. I really think when you think about how especially somebody like Amazon, if you listen to Andy Jassy this morning, right, it's they are innovating at a scale and a pace that that's just truly exceptional, and it gives us opportunity to take those things and implement them to change the way we run our business. So the weak and implement a lot of these capabilities toe help enable our business and then through that, by enabling our business be a credential for not only ourselves but to our clients to say, Hey, we do this to ourselves and way can help you do it as well. >>We're walking the walk >>or totally walking the walk and we push very hard on that angle because for us, it's very important for me personally to say, you know, I started my career client service. So I know serving our clients is one of the key things for us in our business. So I want to be able to solve these things, these air hard things itself so we can solve them faster for our clients ourselves. It makes it easier for them on their journey, >>and you also understand the pain points and the challenges A CZ you said your employees, your workforce was very supportive of it, but that's not always the case. >>No, it's not. It's not in But I'll tell you, our own teams in the early days they struggled with this. To be honest, right? It was a It was a change because we were heavily, heavily virtualized. We were great at running our infrastructure. We were doing all those things. Those are the things you did back then. So then when we said the team's Hey, we're going to the cloud They said, Well, we're not so sure. Do we really think we're going to save money? And in the early days we said We're doing this because this is the right thing to do But in the end, we actually did save a lot of money going to the cloud because we learn toe work differently and I think that's one of the key messages I would convey back is you are not going to work in the cloud the same way you work in a data center. You are going to shut things off. When you don't use them, you're going to have an opportunity to optimize them. You will have an opportunity to spend new capabilities up sooner, used them for what you need and faster and then you know things you can't do in a data center. You can't spend up. You can't use Dynamo. You can't use lambda. You can't. You can't use these. Micro service is in the data center, but in a cloud you can. So now you leave yourself in a situation where you have so much capability you can turn on to enable In enterprise is just mind boggling and exciting and exciting. >>So the time table t make this transformation was ambitious, to say the least. How aggressive did you need to beating? This is a journey. You said you started a little over four years ago. >>Yeah, it took the entire program for us. Took us about three years. But the real aggressive part of the journey was we said, you know, we can't We're dabbling a little bit in it. So let's just say our starting point was around 9%. You know, one of the big things we said is, how do we get the 50% in one year? And it was like, Okay, how do we do that? So we put a program in place and we got the team organized, and we did, you know, kind of like what Andy Jesse was talking about today at the keynote. We set some top down goals. We said to the teams were going to do this. This is the future. We're not kidding. We're going to do it. We have full support and we work with the business. And we explain what it was what was going to be. And you know what? One of the first things we took the public cloud, like three months into this program, was accenture dot com. I mean, we literally three months into the program, took our market facing capability of what our clients look at. People look at to think about us. They moved into the public cloud. >>We've described as a very disciplined approach and also one that was led from the top brass. So how talk a little bit about how the transformation started? >>Yes. So the transformation was really I will tell you, in the early days it was a function of we're going to start to take thes workloads and move them to the cloud. How do you do that? We made a decision to say, Let's take this. Let's take it a data center approach perspective. We're going to shut down an actual data center one at a time. And that's how we do migrations now. A lot of clients think about it from a different perspective. From our point of view, it made the most sense of Shut down the data center and get out of that location because then you're not maintaining all these things twice the fastest you can do it. The better way to do it is to do that. So that's kind of how we approach that. We said all the workloads in the data center go now. We took on our North American workloads first because we didn't make it easy for ourselves, right, because that's where all of our production work clothes where it wasn't just the test environments. It wasn't just a, you know, development environment. It was the real deal, everything it takes to run and support Accenture And we said we're gonna move those first. And so from a transformation perspective, that was our key. And then the other one is we had this. We had this notion of cloud first and cloud only. So any new capability also, we said here on out the minute we started the program. We said no more data center. We are anything you need now is going to be provisioned in the cloud. >>And what about digitally native applications? Yes. So when you think >>about like, um, a clown native capability. So now you start to get into another. You're into cloud, You go. Oh, man, what else can I do? And then So our previous CEO announced to the world extension was no wonder going to do performance reviews. And we're like, Okay, this is great. What we gonna >>do >>about this? And we need it implemented in three or four months. So when our HR business team came to work with us, one of the things we said is, Hey, this >>is the >>time because at that point we were about six or seven months into the program of Cloud. We said, Well, you can't spend up of'em. You're gonna go into the cloud. So we built a capability to does performance achievement for 405 100,000 people globally that runs it with Lambda and Dynamo. And it's been there for a little over now, four years, believe it or not. >>Amazing. So we talk about other challenges that you face because I mean, the way you're describing it, It sounds as though it people were supportive and you had a lot of winds along the way. But of course, there there were. I'm sure there were some dark days to weigh, had some >>growing pains. I think you know, when you think about it a lot of times because a lot of work loads we did pick up. We did a lot of lifting shift. Um, and I hate that term because what we learned as we went is we could actually lift, configure and run for less. So I don't know if there's an industry term for I haven't coined one yet. If somebody here is one that they want to share with us, I'd love to hear it. But lift and shift itself is a bad. It's a misnomer because that's not how you do this right. You have to touch a little bit of something. But what happened is in the early days we weren't quite sure how to size these environments, so when we would pick them up and we would say, Well, let's let's let's kind of give it some more capability. Let's let's throw some more CPU at it. But what we learned very quickly was that costs a lot of money. And we started applying some tools that would love, help us see what the utilization needed to be. And then we learned very quickly that Oh, you know what this environment that used to exist in the data center? Well, that's >>kind of >>on a couple of generations ago. CPU a couple of generations ago, memory a couple of generations ago storage because all the stuff in the cloud is all newer, all new or CPU on your memory. So then very quickly it's not even a like for like it's a like for less. So we figured out very quickly that we can actually take a workload. Let's say they had eight CPU use and we can run in the cloud with two. And so, But it was. It was. It was growing pains through that process that we learned to say, How do we do it then? Frankly, I think a lot of times we talked about this with our clients who is how do you get the team along the way? Because it's it's and When we set the edict, the team realized they had to go do this stuff. But, you know, we thought we'd have a little bit of resistance. What we found instead was a team very eager to learn and very eager to be part of this program and part of this capability. Because they see it. They saw that it was this new stuff that we were doing. So a little bit of the early growing pains around who's gonna work on what? How do we How do we focus our training? You know, how do we get these teams to help us really drive some of this capability and as we started, enabled them or that helped us get momentum. And I think the other one is just when you start to get all these workloads and how do you actually manage this stuff? How do you manage this capability? And for us? You know, we spent a lot of time with our eccentric cloud platform friends because we needed a capability to said, How do I actually manage all this building? How do I discover all the capabilities that are out there? How do I track my compliance How do I make sure all these things are aligned to my security? Construct that in, You know, info SEC is asking us to drive. So we need to do all do all those things that we didn't have it perfect in the beginning and we learned along the way. >>So talk about some of the other benefits you've described cutting some costs. And you've also described this new mindset that so many of your employees have adopted a rials learning minds, a growth mindset, one of embracing innovation. What are some other of the benefits that you've seen? >>You know, the benefits that are to me today is just this art of the possible is just mind bogglingly so much more open to whatever you want to do. It's almost scary how much is out there. You actually have to kind of pull back a little bit and say, How do I apply some guardrails around us? And I think when I think about the other benefits are we have more capability now than ever to spin workloads up. I'll give an example, like on Amazon spot instances are one of the things that they offer. We spend up 700,000 spot instances a year to do work along the way. And it's unfathomable to even think about doing some of those things in the data center. So the flexibility that you get if you want to test the release sometimes some of these big systems you might have to bring in hardware to test that in the data center. But in the cloud I >>don't have >>to buy hardware. I could just spend up more excuse. So it's just the benefits of flexibility, the agility, the speed that not waiting on and also, I think, the other one that I think sometimes gets overlooked as Excuse me. Sometimes that gets overlooked as I don't have a capacity management team that's worried about the capacity in the data center. I don't have AH team managing the vendor. Providing the data center service is right. It's all these things. You start to turn off that you didn't know that you don't need in a cloud anymore because they're managing those things. So even even if you're some, I think some clients get lost and waiting too long to do this. But there's all these other costs around there that you're spending money on anyway, you may not realize is you think about this business case, so I think the benefits are just tremendously there. But you really have to look at it holistically. >>So this morning, on the main stage we heard Andy Jassy describes a dizzying number of new products and service is that eight of the U. S. Is coming out with How how are you thinking about those and integrating them into what you're doing at Accenture with this initiative? And what's the energy that you're taking away from? I mean, he's certainly a very dynamic leader. >>Well, the energy the energy is great at this event. Every single year, the amount of innovation that comes out, it's fantastic. I think one of the great things that came out today is this concept of we're gonna take the hyper visor. We're actually gonna move it into a chip set to help you give you more processing power on the computer. I think on the server is huge. That's a huge capability. Lets us think about how do we manage things differently? I think some of this, uh, you know, uh, capabilities run enterprise, search enterprise, search is very hard, very difficult, right? This ml capability that, you know, it's very appealing. What am I gonna do with that? How do I help my organization think about search differently? That's very appealing. And I think the other one that's you know, there are a lot of other ones around the ML and the Data Lake stuff and everything else, but I think some of these things that get overlooked sometimes the pure review with ML was awesome, right? It's like, How do I help? How do I help them? Has the machine helped me do a code peer review with my people? So those were just, you know, real quick things that come to mind. But it's just great to see all this innovation, and it becomes available so quickly, right? So you've got you have an opportunity to get into these things very fast. >>So as you look back on this journey, this transformation, what are you most proud of? And what are you most excited about in the future? I'm most >>proud of the bold bets. Not only that, we all individually took, but the team's I'm so proud of our team in taking the journey onto trusting us, tow working and pushing and learning themselves to really take this on and it's it's it's just this magical. It's like it's a compound ing thing that just infested everybody else writes. Everybody's been excited about the cloud and how do we do it? How do we do this stuff? I think you know. And then from a future perspective, I'm really interested in MAWR in As the capabilities evolve and they get announced, I think the benefit we have is as we're there. It's easy for us to see some of these things. I think the container landscape is going to be huge. All the kubernetes stack and everything else that's that's out there. We need to think about. How does that help me continue to evolve? The service's I provide either more custom cost, effectively arm or efficiently back to the business and turn on more capability faster and try stuff faster and turn it off faster. And that's the great part of the cloud, right? You get the try stuff, you get to play >>with it, >>and if you don't like it, you turn it off. You don't have to wait three years for this equipment toe. Appreciate you move on with life. And that, to me, is exciting because there's just so much innovation that's coming. There's so much opportunity for us to really just jump out there and, uh, have fun. >>Excellent old Merrin. Best aerobic. Thank you so much for coming on. The cubic pleasure talking to you too. I'm Rebecca. Night. Stay tuned for more of the cubes. Coverage of the ex center Executive Summit coming up tomorrow. We'll see you here right now. Early.

Published Date : Dec 4 2019

SUMMARY :

Something brought to you by extension. Thank you so much for coming on the show How did you even So today we run, you know, tens of thousands of workloads Hey, we do this to ourselves and way can help you do it as well. So I know serving our clients is one of the key things for us in our business. and you also understand the pain points and the challenges A CZ you said your employees, And in the early days we So the time table t make this transformation was ambitious, to say the least. But the real aggressive part of the journey was we said, you know, we can't We're dabbling a little bit in So how talk a little bit about how the transformation started? So any new capability also, we said here on out the minute we started the program. So when you think So now you start to get into another. And we need it implemented in three or four months. So we built a capability So we talk about other challenges that you face because I mean, the way you're describing it, I think you know, when you think about it a lot of times because a lot of work loads we did pick up. And I think the other one is just when you start to get all these workloads and how do you actually manage this stuff? So talk about some of the other benefits you've described cutting some costs. So the flexibility that you get if You start to turn off that you didn't know that number of new products and service is that eight of the U. S. Is coming out with How how are you And I think the other one that's you know, there are a lot of other ones around the ML and the Data Lake You get the try stuff, you get to play and if you don't like it, you turn it off. The cubic pleasure talking to you too.

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Tristan Morel L’horset, Accenture | Accenture Executive Summit at AWS re:Invent 2019


 

>>live from Las Vegas. It's the Q covering AWS executive. Something >>brought to you by extension. >>Welcome back, everyone to the cubes. Live coverage of the Ex Censure Executive Summit here in AWS. Reinvent I'm your host, Rebecca Knight. I'm joined by Tristan Moral Laur said. He is the managing director. North America Intelligence Cloud Infrastructure. Thank you so much for coming on the show. >>Thanks for having me, Rebecca. >>So I know that your primary focus is cloud management and optimization. Tell our viewers why. Why those air? Two critical things. >>They're two very important things. That cloud is wonderful. It's full of innovation. It's It involves all the time. It's wonderful for developers. They love to leverage this. There's broad implications for I T departments. I T departments are used to buy in Big, bold Guy T service is every three years they park it and then they renew that five years later. So from how do you constantly consume the clown an innovative way, and additionally, while the developers are enjoying the service is at the enterprise level, there's broad implications on the tools. The skill sets, the load that you're putting on the infrastructure on the network on the security. And so you really have to benefit of the clown to benefit of all the innovation. You have to take a step back and say, What does it mean to run in the clown and to manage and optimize it? And that's why we call it run different because you have to take it completely from the ground up and rethink it. >>Okay, so run different. Describe what this means. What? This what this is >>So we look at run different as five core pillars. First, you have to manage it, of course. And that doesn't go away because you put an application in the clown doesn't mean you don't manage it. So you have to manage it. The tools it, Sandra, you have to optimize it optimization if cloud is all about innovation. And every day in this morning, we heard all source of new innovations come out from quantum computing to contextualized. Aye, aye. Two new types of storage. You now have two on board this into your environment. How do you optimize it? The thirties? You have to consume it so you have to consume differently. It's completely changed. Procurement departments have to adapt to it, the security framework has to evolve. And finally, the governance across all of the cloud that you're consuming at the enterprise level has to change. And those five pillars are critical to what we mean by run different. >>So we're going to get into all of these in just a second. But I'm your premises that the old way of doing I t doesn't work anymore. So when you explain this this approach in this strategy of thinking in this new way, is there any pushback? I mean, so much of technology and new strategies and approaches is not necessarily the technology itself. It's the it's the change management. It's the people. So with the implication that your way is not gonna cut it anymore, it's wrong. How is it? How is it understood in the organization's? It's >>in many cases, not understood, because in many cases people look at the individual technology and how my using this individual technology. And this morning, as of this morning, a lot of clients we're looking at, how do I use these widgets? Better use? That's not the point. The point is, if I'm there, I am the belief of why I'm moving in the clown is not for one particular capability, but the belief that the kid buildings are going to get better over time, better operationally. So developers are going to get new features and, by the way, better financially, because if I'm using the right innovation financially, it gets better over time. So you're moving from very static environment applications that don't move to a very dynamic environment, and that is a complete shift in mindset. It's a shift in mindset for the developers, for the people managing applications for procurement departments who now have to buy something every day. And so the change management of the enterprise is very complex because, by the way, you can't completely over rotate. Just because you're moving A S a P application to the clown doesn't mean you don't manage it anymore. You still have to make sure that your piece system is operating properly. So that's what we mean by a multi mode operating model is across the spectrum. You still have to have the more traditional management, but you have to evolve it on an ongoing basis, and that is a complete shift. Your workforce has to change all the time this morning, Seo should have woken up and said, I'm gonna use ultra warm. I now need skills on that. I now need tools on that, and so that's a complete shift, which is very difficult for enterprise at a large scale to adapt to and embrace. But they have to. If they do not, they won't benefit from the clown. >>So let's let's go through these things. Let's start with Cloud Management Service is tell it. Tell us, Tell our viewers a little bit about that. So, clown >>management, The wonderful thing about the clown is you can automate it, and so you can now automate the resolution of incidents. Frankly, we don't care about incident management anymore. If something fails, we just spend something else up, and it resolves itself. So it's much more about how do you make sure that things are automated so that there's no human intervention from a When something goes really wrong and you need to do problem management, you now need different stead of skills. So instead of having the old network skill and storage skill and operating system skill, I need an AWS platform skill, somebody that can engineer the application from top to bottom, a full stack engineer on that platform. That's a completely different type of skill. Number one and number two has to evolve over time. So how are the engineers at any client or 90 department are going to learn about how to manage the new quantum computing that we heard about this morning or wavelength and enable five G's so those skills normally have to be different and platform enable. But they have to evolve over time and so managing the clown that it still requires skills and tools but that have to evolve and change over time. >>So, as you said, C I ose and CEOs air saying, Wow, I have a lot of work to do to make sure my work versus up to speed um, cloud optimization surfaces, yes, he said. So >>that, to me, is the fundamental shift. If management over time, hopefully if fully is automated and that function shrinks to almost zero, what now becomes his cloud is available to all the developers. The problem is, they're consuming it as much as they want, so you have to shift from fixing your problem to fixing the consumption um I'm making sure that I am I using the right type of service. So instead of having a e c two instance on it in a database, am I using RD s instead of R. D s? Am I using Lambda instead of Lambda? Am I using fargate? So am I using the right type of service for my application and for my business? And that is constant optimization to drive the right service. And when I'm consuming too much of my identifying that consumption event, um, very recent example. Ah, client of mine explained to me how at Christmas one of his developers left a key out in the open. Somebody used that key to spin up a bunch of aws instance to mine. Bitcoin. Now that's not a incident. The system's working fine as advertised, so it's not a incident. The rial idol term. It's an incident in the terms of its a consumption event that I have to catch and identify. That is the shift you have to manage the consumption in real time, not the incident in real time, and that's what optimization is all about. >>But but then there's another consumption element to it. too >>There is because procurement department's used to buy things on an annual basis. Sometimes if every five years, they would pain along with a bunch of hardware and leave it sitting in their data center. Now they're buying things every month. If you take X century, for example, every month we have 900 million lines of bills for our cloud providers like sell only processes. What, 64,000? You have toe have special tools. How do you reconcile this? How do you translate these bills back to the application owner so that they drive the right consumption? How'd you align it back to the business? All of those air new features of the procurement department that has to exist in the i T department to deal with a clown. >>So next is security. And this is, of course, on every ceos mind. Right now. How do you ensure security compliance clients, but also secure, Secure? >>So how is it secure and how do you ensure security compliance? Um, the great things about the clown new kid abilities have security embedded. Unfortunately, clients realize that they can't outsource security. That is always a responsibility. That's a board level responsibility the CEOs are accountable for. So how do you relate the security component that is in the cloud versus the security component that you're still responsible for us, the C. I O. And the default security features and configurations of the cloud service is may or may not be aligned to your own security policies. So as you using the cloud, you have to align their security to your your eye tea estates policies, and you have to monitor it in real time. So it becomes a monitoring of the security feature and how it's complimentary to your policies, as opposed to driving and insecurity individually for every widget it evolves over time. And as your developers consume, news service is you don't have control over that, but you have to monitor it so you can address any shortfalls as they as they calm and as you identify them. >>So the final element of this this approach is cloud governance. How do you define this? >>So cloud governance? What's what's fascinating and one of the big lesson learned from this morning actually is you are not going to go to AWS to be public club. You're going to AWS for the cloud. With outpost now being generally available, you may go to AWS for private or public and now, by the way, for quantum as well. So even if you have one primary cloud provider and let's say, state of us or or another, you have to manage multiple cloud platforms and you have to govern it across the platforms. Developers don't care where they're consuming it. They just want it available. And that governance across all the AWS clowns, in most cases multi clowns, is critical to get that total visibility of your entire estate. And so that's why that fifth pillar is critical in a foundation of all the others. >>So this is this is really interesting. Can you give us some examples of clients that you are already using this approach and and how it's having an impact on their businesses? >>So we're using this approach at all of our clients, so we fundamentally believe that is how you have to manage it. And it's no longer just a fixing the incidents. It truly is about automating and optimizing. I think the best example is Accenture. We've moved 95% of our estate in the cloud >>your own use case. >>We are. And I could name a lot of clients, but centuries our best example. Because we run the risk and being the cloud to completely over consume. And when we spend, you know hundreds of millions in the clown, you have to manage that very, very carefully. Are you using the related skit build these? Are you consuming it properly? And how are we dealing with the bills? In fact, this framework was built on the lessons learned from our clients. But really, from what we did internally to Accenture, >>So other than implementing run differently, stat, What is your best advice for organizations that are really looking to have a more organized and systematic approach to this? >>Yeah, I think clients will have to one every clients on a big clown journey. And I think what we're seeing is clients are accelerating their clown journey. They have to make a real decision. Run different is a framework which way advise client. Either they could do it themselves, and they have to adopt this this concept or they can use 1/3 party. Important concept is if you want to benefit from the cloud it evolves. If you are investing in your tools in your skill sets, we will absolutely support it and encourage it. But you have to understand that that is an ongoing investment. Every year you have to update your platform. Every year you have to update your skills. So some clients air fully committing to that our technology companies at the core and are making those investments. Other clients realize that that is something they would prefer to use 1/3 party for. And they come to a number providers, including ex center. >>Well, Tristan, thank you so much for coming on. The show are really interesting conversation. >>Thank you so much. Rebecca. >>I'm Rebecca. Night. Stay tuned for more of the cubes. Live coverage of the Accenture Executive Summit.

Published Date : Dec 4 2019

SUMMARY :

It's the Q covering Thank you so much for coming on the show. So I know that your primary focus is cloud management and optimization. And that's why we call it run different because you have to take it completely from the ground up and Describe what this means. You have to consume it so you have to consume So when you explain this this approach in this I'm moving in the clown is not for one particular capability, but the belief that the kid buildings are going to get So let's let's go through these things. So instead of having the old network skill and storage skill and So, as you said, C I ose and CEOs air saying, Wow, I have a lot of work to do to make That is the shift you have to manage the consumption in real time, But but then there's another consumption element to it. How'd you align it back to the business? How do you ensure security compliance clients, So it becomes a monitoring of the security feature and how it's complimentary to your policies, So the final element of this this approach is cloud governance. So even if you have one primary cloud Can you give us some examples of clients that you are that is how you have to manage it. And when we spend, you know hundreds of millions in the clown, you have to manage that very, Every year you have to update your platform. Well, Tristan, thank you so much for coming on. Thank you so much. Live coverage of the Accenture Executive Summit.

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Vikas Sindwani, Accenture, Loic Giraud and Fang Deng, Novartis | Accenture Executive Summit 2019


 

>>live from Las Vegas. It's the Q covering AWS executive. Something brought to you by extension. >>Welcome back, everyone to the cubes. Live coverage of the ex Censure Executive Summit here in AWS. Reinvent I'm your host, Rebecca Knight. We have three guests for this segment. We have Fang Deng. She is the big data and an Advanced Analytics program. Lead analytic Seo hee at Novartis. Thank you so much for coming on the show. Thank you. We have low eq zero. He is Novartis head of Analytic Seo Hee. Thanks so much. Look, and Vika sinned. Wan Hee hee is applied intelligence delivery lead at Accenture. Thank you so much. Thank you. So I want to start with you. Look, no. Novartis, of course, is a household name. It's one of the largest pharmaceutical companies in the world. But that left you to just walk our viewers a little bit through your business and sort of the pain points you were looking to solve with this journey Thio to the cloud >>you think you ever care? So I think if I if we look at the company, I think Wayne realized that it is more and more difficult to bring new trucks to market, so it takes about 12 years and on $1.2 billion to find a new trick. So at the same time, we see that there's more and more patient that need access to medicines. So in the last two years, I think we tried toe clear the new strategy where we're trying to re imagine medicine for user's data and technology. So in 2018 we've recruited a new studio that's came and I tried to build a digital ambition which is around fabulous, which is the innovation, the operation and the engagement on the innovation. What we're trying to do is to find new compound, will application off existing compounds into our business, make sure that I think patients can get access to drugs much faster and earlier on in the operation. We are trying to optimize the backbone off day to day processes, beat in the manufacturing or in the supply chain, or in the commercialization to ensure that the patient also get access to that much faster in the engagement. We're trying to healthy a cheapie and the players and then the and the patients to better understand the tracks reproduce as well as on the medication they need to have to receive treatment. So if you look at these three pillars, the cloud strategy is an essential portion of it. Because in all of its processes we have a lot of data and full cloud. I think we can make use off his data to help to innovate, open, right and engage. >>So as you as you said, it's really about reimagining medicine. I mean, from the drug discovery process to how it's helping patients live, live longer, healthier lives. Thanks. So talk about the vision for the Formula One platform. >>Yeah, aside, like a mission before we trying to re imagine our products for the patient. And we're trying to use more the more data history data and also the public data try to support our products. And the Formula One is our future enterprise data and the next perform for our new artists. So our objective is trying to love you all the new technology and also trying to consolidate over data in our Macleod and build up this platform for the whole notice Users support our business, do better products full patient. >>So when it comes to these these new new platforms, new technologies that are being introduced. We know that oftentimes the technology is the easy part. Or at least the more straightforward part I should say. But it's it's sort of getting people on board the change management. What are some of the challenges that you that you know of artists faced in terms of of the culture and the skills for your for your workforce? >>So if you look at that, the are in disgrace, very traditionally nature. And when we embarking the details confirmation, I think the first thing we had to change the culture of the company. So when you when you listen to our CEO, I think you tried to promote this invoice culture where all of us are Syrian leaders. And then we walk, you know, as a thing as an organization where we try to help each other and more and more collaborate when it comes to digital transformation. When we started this having this period, we've realised actually that workforce was not trained, so the first few things that we did disease is a tight wire new workforce, but also try to actually identify the advocate ambassadors. I could go and then go into residual confirmation early on to be able to help and to guide the office to get for that. So it's actually it's totally immaterial, Johnny. And then we are now in the second year and we've seen already a tremendous four guys, right? >>Can you describe some of the changes that you've seen him? I mean, I'm really interested in what you talk about. The ambassador's, the people who are going to spread the good word. What are what are some of the changes that you've seen in your workforce? Yeah, we can mention >>that. It's like you mentioned before. Um, like, talking about regarding overall catch a bus back to tried to leverage a new attack. Knowledge like the delivery perspective. We trying to do more automation, and the May 1 side is trying to get more efficiency and also another side. Try to ensure the intern responsibility for one product to be produced and also at the same time, let me through more automation to think about this secret inside the compound inside. Help us a lot of in pulling that part also, because >>maybe I can compliment that so I think if you look at it when the initial studying part of our journey, I think that a lot of people were reluctant to go and then tie to work on a cloud and to work with digital technology. So we found few projects where we felt there's a good ready for money. And as we can deliver fast in fact, Andi to things like, I don't get reviewed t piece every. Make sure that when we went, our field falls, go then and talk to the hippies. They know what to talk about an orphan, and then which format. We also look at that we can reduce costs internally and for the food, different projects and then on product that we've established, we build credibility within the organization that helped to disseminate the cultural transformation. >>So once others air seeing, seeing the benefits that that captured, they're more likely to to feel good about the cloud work. >>Yeah, that's that's the true and also notes of the news. Things like our teams, they are interesting about that. You see more and more people talking about our driveway and also talk about the UAV's and how can we improve the did he re efficiency and the same time is come back to say that teams think about how to make themselves to be a product owner and the product the way of the great. Let's the glistening for the whole team >>because I want to bring you in here a little bit. So talk to me about how ex Center is helping Novartis, particularly in in this eight of us. Caught initiative. >>Six incher is a leader in business and technical i t transformation programmes. So what we're bringing on the table is in the expertise with not only the technology and the AWS elements, but also the business and technical transformation expertise that have we have over the years in the firm. On additionally, I think you know, it's not only about technology change. As you mentioned, it's all a lot of change and operating model and and also kind of working with a very blended team. Across that expertise and experience is what you bring to the table >>a blended team, culturally, regionally, actually, all of it >>one of that belief. I mean, just to give an example. We are working across steams in roughly about six geography ese from various cultures. Where's countries? And it's it's, ah, various time zones, which makes it quite challenging to make it all work together. So you started the journey. I hope you succeed in it. And, uh, you know, it's working well, so far, >>so Cloud is is really a megatrend right now. What are the differences that you're seeing across Regions, countries, industries? >>So I think it's this many answers many parts of the answer to the question. So I think if I talk about, um, industries So you know, initially when clouds started, we had seen a major up take off the cloud technology and the company that manufactured the clown technology and telecommunications, and you know where the older infrastructure and technology aspects were, Whereas companies like health care and media and metals and mining, We're kind of behind the curve in adoption rates because off their respective, you know, concerns around compliance and security of data. But I think that trends is slowly shifting. US. Companies are becoming more open. I think I've seen how the public cloud has matured. The security models, you know, are speaking for themselves. People can understand the benefits from moving to the cloud in terms off, you know, cost rationalization from producing maintenance costs, focusing their proteins on things that they were not able to divert their attention on. >>The fact we had, I think I will say for me and then where I've seen a Novartis if it is access to innovation. So I think loud offering brings a lot off innovation at happy face. That's one hand and also access to extend our collaboration. So when you're in, you know, inside focus I think the relatives from over there wants to walk and collaborate with you. But when you work on the cloud, everybody goes on the cloud. So that's really a stream manifested ate a collaboration with Nextel Partners. >>So how is that changing the culture of Novartis itself? In terms of there, there are more opportunities to collaborate. And it also is maybe changing the kinds of workers you attract because it is is people who want to be doing that in their day to day. >>Well, if you look at it, um, in the past, I think we used to have our own workforce, and then we tried to do a lot of things with our own workers, but I think he's in the on Monte. Workers are full of us, so we have more and more partnerships being announced, and this publishing, I mean used actually to help the company to in revenge himself. So that's actually on one hand on the other side. As you said, I think that to attract with talents I think you need. You also need to have a different future. But you need also to be able to give them the flexibility to work and do the things they like, and we're in a context and a framework. >>One of the things that we hear about so much at the's technology conference is this buzzword of digital transformation and of artisans obviously embarking on its own digital transformation as well as his journey to the cloud. There happen. They're powering each other, they're accelerating each other. How would you describe what is happening to the industry and to know Vargas with it within this, the pharmaceutical industry? >>Yeah, I think, based on our knowledge, to send the why this may be the first. The company can't be trying to build this kind of enterprise level data and also an Alex platform, and based on that, we will be able to counseling date off the history potato intended date on public date, huh? And the Human Industry Day. Then they tried to help us to produce the better products for the patient the same time it gave also the team a chance as you mentioned before, and the look at former more opportunities and the China to leverage in your technology particles of Kayla. >>It's also changed the way that we work every day. So if you look at it now, um, we won't be virtual assistant. We I think we use machine learning elements politics to be able to talkto you are a cheap piece. We actually monitor clickers, Kyle real time having using common centers. So every single day, I think the use off, digital at work and atom in the physical man thinks. And I think we have seen that the adoptions has increased since we have I ever to launch successful products. And I think >>one of the things which, which I really like about working in the bodies, is also I think there's there's an ambition to drive business value quickly. So you know you take a very agile use case, best approach on things rather than having to wait for very long years of time. Plus, the company kind of encourages a culture which is based on mutual cooperation and sharing knowledge, which is great >>because Novartis is really on the vanguard of companies in terms of how much it's embraced, the cloud and how much it's using it. What do you think? Other companies, pharmaceutical companies, but maybe even in other industries as well could learn from the nerve artists example. >>I think one thing people really shy about is, you know, when they moved to the cloud is the security aspect. I think what people probably had failed to realize in the past that there's been so much developments on security in the public cloud, which has bean key focus areas, something nobody's has taken the challenge and has understood that very well. And I think companies can learn from all the different aspects of security that you know were built into our entire transformation work, starting from ingesting data, the user management to access and all of that thing, so that's kind of one thing. Similarly, compliance related aspects as well, you know, So we've g x p compliance is at the core off how we're building our solution. So I think on dhe, if you understand how we built the rules around compliance. But in architecture, I think couples can learn from that a swell and build that is integral part off your not only technology solution, but the process that goes along with it. >>We started our conversation talking about Novartis and its quest to reimagine medicine. How How do you think that your industry is gonna look 5 10 years from now? I mean, the drug discovery process is slow on purpose. I mean, we need to think of patient health and safety for most. But how do you think it really could change the course of how we treat people? >>If if you look at it is more and more treatment required that actually I used and required data as a service or are being actually process for data. So when I am, when we look at the things the way that the industry is changing, I think the times to develop drugs, yes, takes longer. But I think for your use off the data that you have. I think you can try to reduce I cycle. So one of the objective is to reduce the cycle by one firm. Between that, we could bring the day. Is a new director market in eight years, rescues 12 years Today. The other thing is that way for user's data. You can monitor them patient, and you can recommend it the treatment of 80% off foundation. They don't go in and finish her treatment. So I think if we can show the audience to treatment, then there's a lower risk off the admissions to the season and sickness that they have. >>So it's not even not not just Novartis seeing the value of the date. It's the patients themselves, efficiency >>and the d. A r C as well, right? Because I think if you're if the situation is not six and I think the insurance doesn't have to pay. So I think all the value chances is being comes from >>well, sang Loic, because thank you so much for coming on the Cube. It was a really fascinating segment. Thank you. I'm Rebecca night. Stay tuned for more of the cubes. Live coverage of the Ex Center Executive Summit coming up in just a little bit

Published Date : Dec 3 2019

SUMMARY :

Something brought to you by extension. But that left you to just walk our viewers a little bit through your business and sort of the pain points you were or in the commercialization to ensure that the patient also get access to that much I mean, from the drug discovery process to how it's helping So our objective is trying to love you all the new technology and We know that oftentimes the technology is the easy part. the details confirmation, I think the first thing we had to change the culture of the company. I mean, I'm really interested in what you talk about. to be produced and also at the same time, let me through more automation to think maybe I can compliment that so I think if you look at it when the initial studying So once others air seeing, seeing the benefits that that captured, they're more likely to and the same time is come back to say that teams think about how to make So talk to me about how ex Center is helping Novartis, On additionally, I think you know, it's not only about technology change. So you started the journey. What are the differences that you're seeing across So I think if I talk about, um, industries So you know, But when you work on the cloud, everybody goes on the cloud. And it also is maybe changing the kinds of workers you attract because Well, if you look at it, um, in the past, I think we used to have our own workforce, One of the things that we hear about so much at the's technology conference is this buzzword of digital transformation products for the patient the same time it gave also the team a chance as you mentioned So if you look at it now, um, So you know you take a very agile use case, because Novartis is really on the vanguard of companies in terms of how much it's embraced, So I think on dhe, if you understand how we built the rules around compliance. I mean, the drug discovery process is slow on purpose. So one of the objective is to reduce the cycle by So it's not even not not just Novartis seeing the value of the date. and the d. A r C as well, right? Live coverage of the Ex Center Executive Summit coming up in just a little bit

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HOLD - DO NOT PUBLISH - Kishore Durg, Accenture | Accenture Executive Summit at AWS re:Invent 2019


 

>>live from Las Vegas. It's the two covering AWS executive. Something brought to you by extension, >>everyone to the cubes. Live coverage of the ex Censure Executive Summit here at AWS. Reinvent I'm your host, Rebecca Knight, and we're kicking off two days off Walter Wall coverage here at the Accenture Executive Summit. Joining me today is Key Shore, Dirk. He is the global lead growth and strategy and Cloud Attic Center. Thank you so much for coming on the Q. Thank >>you. Thanks. Very nice to be here. I'm absolutely excited to be here on dhe love to talk to you about our new platform. >>Exactly. So the thing about Cloud and then this is this is really the topic of the day is that it presents this opportunity to drive innovation and power, business agility and to reduce costs and to streamline operations. But with that tremendous opportunity, there comes this really over abundance of choice. How? Let's before we start talking about your new platform, talk about how you think companies ought to start to think through these multiple decisions that they have to make when trying to decide the right cloud solution. >>If you know, we actually talked to our Lord for clients we work with. And when we actually looked at, you know, the cloud adoption among enterprise is only 20% of actually adopted cloud. 80% of the enterprises are looking to see how to leverage it. Now, when we talk to our own clients and then we figured out, you know that you know, what is it that is challenging them to get the cloud? And we also had, uh, data points, which existed A 2/3 of them are not seeing the full value off what they need to expect from the cloud. So these challenges were in front of us, and we really wanted to help our clients. And if you really look at the complexity that is that is there today in terms of choices, there are multiple options. Do I go public private hybrid and our clients a challenge. A paralyzed with all these choices. And how do I How do I build my enterprise? You know, earlier it was all about just infrastructure. They're not the enterprise applications went to cloud. Now they want to run their business in the cloud. If you're betting your business in the cloud. You really need to be sure it's not just a business, Lee deciding. I want to be in the cloud for this application. So when you have that strategic choice, you really need good advice and they're looking at us like, you know, Hey, sure, Help me, help me decide. Help me figure out the business case helped me plan. I need to see what are the options and what is the right choice for me. That's a plank. So that's where we're willing to help. And that's the context. And that's the genesis off. Why we thought about a platform like my name is about navigating this complex city. Life was simple earlier. Now >>it's a little bit >>complex, and we're helping you navigate that complex. >>So you've painted this picture of companies. As you said, only 20% have adopted the cloud. Many have yet to see value from it, and they are paralyzed by choice. So you've created my now tell us more about mine enough so one of our >>clients are all about I want to get this >>right the first time, >>so they have tried multiple times and and there's a reason why only 20% of their they've tried it multiple times. There had some challenges. Ah, lot off. Our clients want to get their data application aspect and strategy right for the cloud. They want to get the right solution there. Bean challenged with the right solution. What is it that is gonna be in the cloud, or is the architecture looked like? And they've not been able to visualize it until unless they put hundreds of people on the ground. You actually make it work if their performance challenges. So let me just step back a bit where, you know, you had your application running for 10 years, and suddenly you're taking to Cloud doesn't perform the same way in the cloud as it was performing in a data center. So these challenges are to be assimilated for our clients. So one of the aspects in supporting hundreds of people on the ground for 6 12 weeks, Why can't I do it in a day to figure out how to assimilate this and that is the power of minor were able to figure out the right architecture, the right solution, and simulate that for our clients to visualize, you know, think of it like you have a new home and you >>want to >>kind of figure out How does that new home look like? No. Does the kitchen look different? You want to visualize it? Would you go to a new home without a plan? Would you go to a new home without an architecture? And what if I can give you a three d simulation of how that whole plan looks like? My nap does that for you. My now helps you navigate through that architecture recommence the right solution. Then you can visualize. Oh, this is the right thing for me. Obviously, you have a lot of constraints. You gotta get your kitchen stuff, right? Bedroom stuff, right? How do you bundle things? Very similarly, Adi Bundle applications. How does it look there? And that's exactly what my numbers. >>I'm thinking about it in terms of the way that they trained pilots in this in the simulator atmosphere. So tell it, how does it work? So let me give >>you a gamut of things that we do. So a lot of clients asked me, Hey, you know, I'm talking about 80 person who are not in the cloud is their business case. So I had to give them a view off. Well, it all comes down to What is the financial financials off it? Is it the five year run? You know, Is it like, how much how much I'm going to say you're one? Is that your two year three? I was gonna back my bottom line. That's the first part. Then it comes down to who do I go? It, You know, what are the choices I have? Then it comes down to, you know, I'm taking my say enterprise application to cloud. What is the architecture looked like today? What is the architecture looked like in the cloud? And what is the architecture looked like two years down the line, which includes Arman increase customer base. I have tohave Ah, lot more users that are gonna be added to my enterprise application. I need to see what that architecture looks like. It's one click of a button. My now gives that to you. And a lot of my clients asked me how long is it gonna take? It's a very simple question, but then you gotta figure out how you bundled applications. How do you take the migration plan. Then you'll have some holidays where you don't want to do anything. You want to stop the business while they're doing your cloud migration. So we actually give you a migration plan coming out off. It is your what we call this bill of Materials. Essentially, this is exactly what you need for you to be in the cloud. That plan is what minor gives you. And then after that, you're gonna execute, and then we have ability to manage it through our management platforms. So minor helps you and therefore phases, which is discover, assess, architect and similar it and then you actually do the migration, and then you do the manage part. So the discover assets architects simulate, which is what I've been talking to you about today is what might have does. So it helps you discover the infrastructure aspect application aspect, date aspect it will assess based on your needs, what you need. Then it'll architect it for you, and it'll also assimilated for you. We have not had a platform that helps you simulate things in the cloud in applying conversations. So this is something that plane's value. I have a lot of planes across Jim, Japan, Spain, all over the world, reaching out saying, Hey, I really need help. This is exactly what I was looking for and that's that's how these time conversations are going for us. And they're like, I needed to be part off your core aspect, how you deliver these things. So that's how we do workshops with our clients. We can work with them and say, This is how we do this And once they get comfortable So the 80% of the people are waiting for some comfort level disk, Use them that comfortable that Yes, I know what I'm doing. These guys know what they're doing, and I feel I can go back and run my business there. >>So I mean, as you said, so many of them are paralyzed because they want to get it right the first time. So So my novice, really giving them the comfort level to make these decisions? Or are they then really, just understanding what they need and then how to think forward in terms of creating that plan. >>In Accenture, you have done 30,000 projects in the cloud. We know what is right. So based on our depository off projects that we have, we know which architectures work. So we >>have >>an artificial intelligence engine which actually sister these architectures and then recommends what is right for outlined. So essentially, the plants have, ah stronger affinity toe what works so essentially, when we recommend to them you're saying, Hey, you know, this is something that worked at this client E, which is what works a client. So we are reusing a depository off reliable, credible architecture that supports the current line needs from a depository of the existing what we call as working architectures that is out there and essentially this ability to kind of learn. Obviously we will work with the client. Things can still change, and then we can off make sure that the right thing goes into the depository, and the next time we come back and recommend toe the 3001st client, we know what works and that that's exactly the power off. It is the ability to learn ability to understand and ability to recommend. I'm just keeping it simple for our clients to understand so that they don't have toe get Swan with the complexity of cloud you just have to navigate this. >>I mean, it almost is the best practices machine in the sense that it really understands industry to industry, company to company, the right kinds of architecture. >>So, for example, in the business case, so we have reportedly off costs for all the different industries. So when my spin exceed, the benchmarking costs for airline industry is very different from the bench marking cost for utilities. So when I prepare a business case, I'm looking through the depository off my industry data that we are working with our clients based on that industry data actually build the business case. So it's not a business case just built on very much off a data center because the cost off employees the capital cost the operation was very different for different industries. So you lied to consider a 10 industry angle in terms of how you estimate the business case. Coming out of that, we have the ability to estimate so we also have aspects where a lot of clients don't have eight and weeks to decide. The board is asking them, Hey, what you gonna do? So we have the ability to have a business case for the strategy deals that we say, and we're able to very quickly revert back because we have a lot of repositories of data that we have with us. That helps in that conversation. >>So when time is of the essence, this is what matters. I read an article that you wrote recently for ex Center. I believe it was an ex center block where you talked about the hype around Cloud and how companies were so eager to get on board with Cut With Cloud because they wanted greater efficiency. They wanted to be able to innovate more quickly, and yet it wasn't happening right away. I'm I'm wondering, where is the mindset right now? Are our company's understanding now that it is going to take time to capture the benefits? Or how would you? How would you describe the client mindset? So I would say >>they're two different generations of planks, clients who are already there and clients for getting there. The planes are already there. We're looking at aspects of transformation elements. I want to do my eye. I want my data analytics in the cloud, so we're helping them. Its second generational elements of cloud It's not just about moving your application we're talking to them about, you know, how do you run your business in terms of recommendation engines that you have in the cloud? So what do you need for the evacuation? Cleansing off data elements off it, essentially taking your data to the cloud. Now there are first generation aspects who are almost around data center aspects. You know, they want to get rid of the data centers. They want to go into the cloud. So my now helps both of them. My never helps clients who are essentially navigating through the cloud for the first time gives the more confidence, and they have that kind of getting the help of our collective, which works. And for the first condition, clients were already there in terms of in the club. We're helping them transformative aspects in terms of future systems. What for your future systems looked like, and cloud is an enabler for it, whether it's boundary less adaptable are radically human element off what a new application would look like. A business would look like you need to have flowers, a foundation elements for those those clients are in the 20% You're telling them Hey, cloud, you're already in the foundational aspect of it. Now you need to build boundless applications. Now you need to build adaptable. Now you need to build radically human applications. So how do you build radical human applications? You gotta have the eye when you have to have a I you need to have data. How do you get data? You need to curate plans and basically capture the data that you need so that you can build a re engines on top. So those are different levels of conversation with different maturity off up lines. But we're happy to help them in either of the spectrum's, because a lot of our clients are looking at obviously vetting their business on the cloud now. So we are looking for strategic partners for reliable partners who understand that industry, and with 30,000 projects, we >>are we are >>helping our clients make those decisions. >>So beyond making sure that we're talking about the 80% that are not yet there but our but our curious cloud curious beyond getting mine off platform stat, What is your best advice for those companies right now? >>So what we tell her clients is that you need to look at the end to end aspect of cloud. Do not look at it as a single application going to cloud. So when we talk to our clients way, look at generation, they're doing a lot of the transformative elements is about future systems. We start our conversation around your future systems aspect off it, and then, obviously clouds and enabling element of foundation really meant to get you there. But then essentially, if you want to run your business in the cloud, least the things you need to do. So the transformative aspects is what our clients are willing to work with us. So we tell them, Don't just take it to the cloud just from a obviously cost perspective. Obviously, you will gain a lot from that. But you also need to look at what you want to do in the cloud. It's not just going through the cloud. What? What do you want to do in the cloud? >>Well, key. Sure. Those air. Great great words of advice. Thank you so much for coming on. The Cuba was a pleasure having you. >>Thank you very much. >>I'm Rebecca night. Stay tuned for more of the cubes. Live coverage of the Accenture Executive Summit

Published Date : Dec 3 2019

SUMMARY :

Something brought to you by extension, Thank you so much for coming love to talk to you about our new platform. So the thing about Cloud and then this is this is really the topic of the day is that it presents So when you have that strategic choice, As you said, only 20% have adopted the cloud. and simulate that for our clients to visualize, you know, think of it like you And what if I can give you a three d simulation of how that whole plan looks like? So let me give So the discover assets architects simulate, which is what I've been talking to you about today is So I mean, as you said, so many of them are paralyzed because they want to get it right the first time. So based on our depository off projects that we have, we know which architectures work. so that they don't have toe get Swan with the complexity of cloud you just have I mean, it almost is the best practices machine in the sense that it really understands industry to industry, So you lied to consider a 10 I believe it was an ex center block where you talked about the hype around Cloud You gotta have the eye when you have to have a I So what we tell her clients is that you need to look at the end to end aspect of cloud. Thank you so much for coming on. Live coverage of the Accenture Executive Summit

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Evan Kirstel | Micron Insight 2019


 

>>live from San Francisco. It's the Q covering Micron Insight 2019 to You by Micron. >>We're back to Pier 27 in lovely San Francisco, Everybody. I'm Dave a lot with my co host, David Floy Er and you're watching the Cube, the leader and live tech coverage. Evan cursed Ellis here. He's a social digital influencer. First time in the Cube. Evan, Great to see you. >>Thanks for having me. First time's the best. >>You Very well. And it is beautiful. Out him in October is the best month in San Francisco. Way better way warmer than July. I mean, you live out here. Holy cow. All right, let's get right into it. You're just fresh off of mobile work. World Congress down in L. A. >>This morning. Yeah, five g on the brain's >>s. So what do we need to know about five g? You >>know, I think my big takeaway as an industry observer is that five g Israel, and it's now I mean, we've seen 5 10 years, maybe of hype, an expectation and marketing buzz and even spin. But I think we're now in the business of practical deployments, scaling rollouts of networks and that's, you know, as a industry observers, quite exciting. >>So what is five g mean for the average user? I mean, is it gonna be like going from dial up toe, high speed Internet or, you know, it's gonna be interesting. >>The average user, I think we'll experience, you know, like a 10 x increase in their current experience on mobile in terms of uploads and downloads and speed and Leighton see, And that kind of thing, which is super exciting, it's it's gonna blow people's mind. >>An ex stoked to get a 10 extra. When can I get this? >>It's when and it's where, right? I mean, if you look at how these networks are evolving, there are hundreds of thousands of small cells of base stations that have to be deployed naturally to get five G ubiquitous across the country. So it's it's when it's where it's how. But we're here. We're at the starting point and look for the next years and months ahead to see that riel attraction. >>If I look now when I travel around the country, I still have four G. I still have three g. I still have edge. I have a ll the old ones are still there, and it's taken forever, even just to get to 40. So isn't lesson. Isn't the rollout of this going to take a long time ago or 10 year horizon? >>I think, to get ubiquitous coverage indoor, outdoor, suburban, urban, rural It's going to take 10 years. But if you look at those hot spots that generate a lot of activity, whether it's, you know, indoor coverage in the Enterprise, whether it's, you know, the Bruins playing in Boston Garden I mean those air where five G is really going to come into play first and then it's going to sort of go outside of those urban dense areas. >>You mean like the fan experience in the fan experience in the venue >>is huge? I mean, if you go to any you know, baseball, basketball, football game, you know what the experience is like Pretty pretty bad, right? So horrible. So those kind of hot spots are ripe for five g like right away today. Now, >>so by the way, David, sometimes I get five g on my that's right, and I feel like it's fake. Five years like HD ready. What's that all about? Well, you know, >>these networks evolve, and so the carriers are maximizing for G, including biggest speed on four G and five. Gene is really if overlay to these existing networks. And so, as you get your next Samsung, you know five G enabled devices. Apple next year comes out with a five G iPad. You'll then begin to use. The service is as you use your existing device. >>Can you help us understand the fundamental architecture of five G? My understanding is it's, you know, no basis more distributed on. That's part of the reason why it's taking so long to roll out. But what do we need to know about that E? >>I think it's a brand new editor interface. So if you think about the current radio on for G, they reinvented the wheel with five G, which means you can support a huge number of endpoints of I o. T devices of wearables of home access points. And so it enables almost a 10 to 100 ex war devices in terms of scale. So while the end user may think this is business as usual, what's really happening on the network side is pretty revolutionary And once the networks are primed and built and ready, what's gonna be happening on the device side is gonna be really extraordinary. You're talking about a K A video on a mobile device or augmented reality through in new kinds of glasses. And so it's sort of a chicken and a little bit. You know what? She's gonna come first, the network or the incredible new devices. So we're seeing now the network's being put in place for those wave of devices, >>which makes sense. Device manufactures don't want over rotate into something that's not quite. >>But if you look at the network, it's you have to have a lot of device is very close to each other. I in my area that all these the holdings holding these hearings about radiation, everything else like that, which is never, never really a problem unless you're underneath. >>Yeah. I mean, there's a lot of fun, you know, fear, uncertainty around five G. >>Yeah, and I'm just the practical thing. You gotta have all of these lots of these very close in the The exposure to having a gap of some sort is pretty high. >>Yeah, I think it's an issue of frequencies as well. Right now, we're seeing very high frequency five deployed for those dense urban suburban areas. We're going to Seymour Spectrum rolled out next year. The FCC is putting out new auction so you'll see lower bit rate five g rolled out for suburban and rural areas. So it's a It's a work in progress, but the fact that we have first devices first silicon for software first networks. It's kind of a big inflection >>point, but some bumps. I'm inferring this ATT the back end. It could be a lot of machine to machine communications, so that's kind of sets up this whole coyote and an edge discussion. And of course, that means more data. What can you tell us about how that's going to affect really the amount of data and how we use that data? >>The data explosion is extraordinary. I mean, we experience this as early adopters here at the table every day, and so no one's ever said, you know, my network is fast enough is good enough, secure enough. There's always that insatiable appetite now, given the connected world in which we live. And so it's not just the network speed it's the input output of the device. I mean, we have Leighton see that frankly, from these networks operates at the speed of the human brain, you know, in in milliseconds, in terms of input output on the network. And so that's really gonna change the user experience to when the way you do gaming or collaboration or video conferencing video calls and all these service is we use today will be much more tuned to how we live and work. >>So dial upto high speed Internet obvious Are you want? I'll update you say you go back. I'm also I know remember this stuff But that was a significant change. Obvious step change, really a step function. Exactly. But subsequent to that it was I could doom. Or but it was just so much more data and acts were flowing through the network that it really didn't change the experience a little bit. Maybe, actually, you know, be careful. I watched the Patriots game on the plane on the NFL app on the way out here, which could probably have done a year or two ago, but so that was that's goodness. But generally speaking, the experience is substantially similar. Will you said a 10 X before? Will the user actually see a difference like that kind of dial up to high speed step function? Or is it going to be sort of a slow roll? >>I think the user will see a big a big improvement because of the efficiencies of the network and the way in which data is kind of throttled and limited. Today, with three and four for G networks, I think more interestingly, is how businesses and enterprises and sm bees will consume. Five g. I mean, there are a lot of antiquated networks out there, whether it's legacy wired Network, D S. L. Whether it's, you know, crappy WiFi that we all experience in hotel rooms, five g has the opportunity to come in and really displace all of that legacy crap that that's in our networks and give users in those enterprises hotels, venues, a brand new experience. And when's the last time you had a bad hotel? WiFi, for the idea of, of getting rid of a legacy network and delivering those high speed service is from a public network. It's her Private networking is a really exciting opportunity for the carriers and, really, for the B two B enterprise. >>Well, the technology suppliers are pumped about their pumped and their >>look at their profitability, their revenue, their sales. Everything's up. >>Well, the thing is that that is, the carriers, like you say they have no choice but to remain competitive. They have to consume. They have to spend more >>on what a great time in the mobile industry. I mean to be a consumer of devices and service is, I mean, the consumers that businesses are winning in this march. >>So tell us about Mobile World Congress. What was the vibe? It was >>very buzzy. I mean, there were lots of Rhea World applications on display, whether wearable devices for health care and hospital T applications. There were examples of remote controlled autonomous shipping and autonomous trucking monitored, supervised with five G. There were examples of vehicle to vehicle communications for accident, safety purposes being deployed in the next generation of cars baked in, and so five. He's gotten very practical. Now it's like, Okay, we've built this network, we have silicon, we have software we have storage memory out of we deploy it so is very focused on deployment usage and an application. >>If you take that one of automotive, for example, if you're a god, health and life on your If you If you can't guarantee that you've got connectivity toe, what's the value wouldn't do? For example, wouldn't you prefer vehicle to vehicle direct communication, as opposed to going outside to some much faster? >>Exactly. Exactly. And there's a new technology called vehicle Be two extra people vehicle standards that are being baked so that that's not funny. It's based on the five of the family of standards, and so one of the technologies within the five G family is vehicle to vehicle. Qualcomm's doing some amazing work there. And once the automobile manufacturers baked that technology into cars, the car manufacturers can then build in vehicle avoidance, vehicle collision technology and so forth. >>So I'm worried that was some talk about a I right? I mean, lots of talk that mobile world Congress, you're gonna hear a lot about here. What about the ecosystem that's emerging to support five G? There's gotta be a whole value chain specialized chips. I mean, obviously, micron, you know? Yeah, you know, the >>whole supply chain has to come together and Micron powering all of these devices with memory and storage to the application developers to the O E ems to the network providers. And so that ecosystem is getting really baked, fully baked and and integrated. And that was on display at MWC, too. So all these things are coming together, and I think it's pretty exciting. As a long time skeptic like yourself. I saw some real world. >>I say, I'm excited about it. I just I'm just not holding my breath. Don't >>hold your breath. Not >>recommended weight. That's great, Evan. Thanks very much for coming in. Thanks so much. Appreciate your insights. Thanks so much. Thank you for watching. Keep it right there. But it will be back from Micron Insight 2019 from San Francisco. You're watching the Cube?

Published Date : Oct 24 2019

SUMMARY :

It's the Q covering We're back to Pier 27 in lovely San Francisco, Everybody. Thanks for having me. I mean, you live out here. Yeah, five g on the brain's s. So what do we need to know about five g? you know, as a industry observers, quite exciting. up toe, high speed Internet or, you know, it's gonna be interesting. The average user, I think we'll experience, you know, like a 10 x increase in their An ex stoked to get a 10 extra. I mean, if you look at how these networks are evolving, Isn't the rollout of this going to take a long time ago or 10 year horizon? of activity, whether it's, you know, indoor coverage in the Enterprise, whether it's, I mean, if you go to any you know, baseball, basketball, football game, Well, you know, And so, as you get your next Samsung, My understanding is it's, you know, no basis more distributed on. So if you think about the current radio which makes sense. But if you look at the network, it's you have to have a lot of device is very close to each in the The exposure to having a gap of some sort is pretty high. but the fact that we have first devices first silicon for software first networks. What can you tell us about how that's going to affect really the amount here at the table every day, and so no one's ever said, you know, my network is fast enough is So dial upto high speed Internet obvious Are you want? the opportunity to come in and really displace all of that legacy crap that that's look at their profitability, their revenue, their sales. Well, the thing is that that is, the carriers, like you say they have no choice but to remain competitive. I mean to be a consumer of devices So tell us about Mobile World Congress. I mean, there were lots of Rhea World applications on display, It's based on the five of the family I mean, obviously, micron, you know? And so that ecosystem is getting really baked, fully baked and and integrated. I just I'm just not holding my breath. hold your breath. Thank you for watching.

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Day 1 Kick-off | Pure Accelerate 2019


 

>> from Austin, Texas. It's Theo Cube, covering your storage. Accelerate 2019. Brought to you by pure storage. >> Welcome to Austin, Texas. This is the Cube. Live at the fourth annual pure accelerate. I'm Lisa Martin with David, Dante, Dave or in Texas, >> Texas again. >> Austin, Texas. Very interesting venue for this fourth annual hear stories. >> A lot of construction, >> music, a >> lot of music. >> So we just came from the keynote and news announcements, customers on stage. But the first thing to point out is, this is here is about to celebrate their 10th anniversary. Charlie Giancarlo, CEO and chairman who's coming on the program with us, and just a few minutes talking about what they have innovated and delivered these 10 X improvements and 10 years kind of this overnight success in 10 years and what's coming? What was with the things that really stuck out at you, Nicky Note. >> Well, first of all, ironically, this is the 10th year of the Cube, not our 10th anniversary, but it's the 10th year of doing the Cube. And so our fourth year, I think it's pure accelerate about what 3000 people here, >> you know, the keynotes >> pure was laying out what their vision is of the modern data experience and that I felt like the keynotes least there were sort of, ah, speed date of what's coming. There was a couple of major announcements that we'll talk about, >> Uh, but >> they really are trying to differentiate as the modern storage company turn a deep position. The competition, as the old guard is to use this term that Andy Jassy uses pure, didn't use that term. But they really talked about it's time to go Modern. And so they were an overnight success. It took him 10 years, was one of the comments that was on stage. So I think this is worth pointing out. A couple of things. I mean, let me lay out. Sort of my thoughts on Pure is a company. They were the only storage company Ah, in the past. Let's call a decade to reach what I'll call escape velocity. They achieved a billion dollars a couple years ago. They're doing their due about a billion and 1/2 on a trailing 12 month basis. They'll do 1.7 billion this year and evaluations about 4.5 billion. So they got a a three ex valuation in that fluctuates. That's pretty good for a storage company. Billy on Lee major storage company. That's really growing rapidly. They got 28% growth. I did a breaking analysis on Lincoln, and I'll just share with you some of the numbers. Dallas flat at 0%. So Del is actually gaining share with no growth has got a scary NetApp minus 16% in the quarter H P E minus 3% IBM minus 21%. And so it is pure A 28%. So they're really crushing it in terms of growth. They've also got a 69% gross gross margin, even if it's in its heyday. E emcees gross margins weren't that high, you know. They were in the sort of mid sixties, and so, and they've also got a good balance sheet. About a billion dollars in cash A little. A little more than that, they got some debt. They're shifting their model to a deferred revenue model. Now the only thing is, you know they're growing much, much faster than the competition. But they're throwing off a lot less cash because they're much smaller. Just as an example, they probably throw off 5 to 6% of their revenues in cash. Netapp probably throws about 23% of its revenues, often catch the big Delta there, so the point is long winded. But but pure storage is in growth mode. And until the market rewards more consistent with a cash flow, they're gonna, I think, stay in huge growth mode. >> There was a great analysis. Dave and I saw an analysis that you did with some spends data, just a couple of your reverence. A little bit of that. There's there seems to be a tailwind behind here you mention the 28% wrote that they announced in Q two, and some of the things that also they talked about were there. Adding about in Q two of F Y 2020 about seven net new customers every business day, adding about 450 new customers just in that quarter. Like you said, 3000 folks expected here today. The momentum is behind them, but they're also a company of firsts. You talked about this a number of times. The first, with all flashed the first with envy me on the back and a couple of additional firsts announced today. Talk about the as a service model and how that youth, in your opinion, you think might continue that trajectory that they're on. >> Yes, so basically pure laid out today, said that vast majority are Pouliot Portfolio is gonna be available as a service. That's the cloud consumption mall is important because pure has about $600 million in deferred revenue, largely coming from their evergreen service. But there they are, slowly shifting their model to a subscription model. It's gonna be very interesting to see how that plays out. Um, we've seen a number of companies do a tableau in Adobe kind of pulled the band Aid off and did it Splunk has taken years to do. It will be interesting to see how how pure goes. For that. I'll >> bring it >> back to the cloud up yours largely an on Prem storage company. That's where most of the revenues come from. But we heard the gentleman from Amazon today. I think it was E ethan whiner, not Ethan, anyway, Mr Whiner, he said. That gardener did A survey last year showed 88% of customers said they have a cloud for a strategy, but 86% of those customers continue to spend on prim. So here you have the cloud. Amazon gorilla wants everybody to go to the cloud pure would much rather they make much more money on Prem? But they realize customers air pulling them in. So they have to move to that as a service model. One of the interesting things that pure is done, which, you know, that's not really a first. But it certainly is for the large storage companies they've announced. Ah, block storage on AWS. So basically what they're doing is they're taking the pure experience. It all looks like pure software, and they're front ending cheap s3 storage from Amazon with E. C. To compute instances, and they've architected using Amazon service. Is this basically a block storage array in the cloud so Amazon gets paid, pure, gets paid? It's a little bit of a premium, but you get higher availability. You get great right performance and you get the pure cloud experience pretty interesting strategy, >> and they're talking about it really as this. This positioning it rather as a bridge, a bridge to hybrid cloud. This numbers that the Amazon gentlemen, share that you mentioned Gardner were really interesting both sides recognizing there's a forcing function there and that forcing function is the customers from the enterprise to the small business who need to have data available immediately wherever it is people to extract this insights from it quickly so that those companies, whether it's a capital one or a Delta Airlines or a smaller organization, can act on it quickly to Dr Competitive Advantage. Same kind of challenge that your storage has. But really that forcing function of the customer, clearly bringing the giant AWS together with yet another story >> so pure as they say reached escape velocity. They and Nutanix were the only on a new entrance that reached a billion dollars Nutanix. I really don't consider a storage company. They're kind of hyper converged. And the way they did that as they drove a truck through E emcees install base with flash. So they were the first within all flash array. Maybe maybe they weren't the first, but they were the first to really drive it. They hired a bunch of DMC sales reps. They knew where all the skeletons were buried and they really took out a lot of old Symmetric Se's and Claire eons and V. Max is and all the old sort of GMC install base, and that helped them catapult their way there 1st 10 years. Now they got to do that again. They got to get to get They're on their way to two billion. But how did they get to five billion? Um, and and so the way they do that is they have to expand their tam. I mean, we'll talk to Charlie Jean Carlo about this. My feeling is a big job of the CEO is to expand the Tamil. How do they do that? They go after new workloads like a i. They go for cloud. They go from multi cloud. These are all very large markets in which they don't participate. Data protection. They'll partner with Lex, Kohi City and Rubric and Beam to to have data protection software running on their flash. A raise with very, very fast restores. That's something that's taking off. It's gonna be really interested in seeing as they say, they've got this subscription model that's coming in. They've got all this deferred revenue that in a way, it's going to slow him down a little bit just from an accounting standpoint, cause when you recognize deferred revenue, you recognize that, you know over 12 months over 36 months, so that's a little bit of a transition. The other thing that pure is facing in a tactical basis is Nande pricing. It's like this countervailing effects nan pricing is coming down, which means lower prices, lower costs but also lower revenue. But at the same time, it becomes more competitive with spinning disk. This is something else. We'll talk to Charlie Jean. Cholera right about it opens up new markets. So this tam expansion is critical for pure in terms of driving this modern data experience into these new workloads and fighting the competition, the competition is not sitting still. All those companies that I mentioned the H P ease, the the Delhi emcees, et cetera, are basically taking a page out of your swords narrative, talking about the cloud experience, talking about, you know, flexible pricing models, building cloud products on prime and hybrid cloud and multi cloud. So it's hard sometimes for customers to squint through that. And really, no, I guess the bottom line, the last thing I'll say is pure. Doesn't have as many feet on the street is these other guys. So it's gotta leverage the channel increasingly, and that's how it gets beyond two billion on its way to five billion. >> And that was one of the factors that they attributed the second quarter. 28% year on year growth is to not just innovation, but also to the channel. So they've done a good job of really pivoting. There's large enterprise deals to be covered, direct and then bringing in the channel for those smaller mid size business customers. Adding a lot of momentum in cute to you mentioned the nan pricing that in some of the political climate with the start of China, most of their businesses in the Americas so they're not facing as many of those challenges. So they did lower guidance for the rest of it is >> the second time they've >> lowered 20. However, they kind of attributed that thio the nan supply oversupply and they say happy Matt to flatten out quickly, say they're >> not worried about the macro. I mean, look, if if the economy is good and is booming and people are spending money on cap ex. That's good for even a high growth company. They're basically positioning to the street that if if the economy does turn down and there's a softness at the macro, they'll actually gain share more rapidly. Which, by the way, is probably true. But look at the rising tide lifts all boats. Nobody wants to see Ah recession. Having said that, well, it's interesting. When you saw Pure Lower, its guidance stock took a hit, and then net app, I'd be him. All these other company you have to see a deli emcee they announced in the market said, Wow, pure must be doing really well compared to these other guys. So it's come back in a big way. My opinion pure is going to in the e. T. Our data shows this from a spending intentions Pure is going to continue to gain share at a much, much more rapid pace of the other. The other guys, from a product standpoint, delicacies consolidating its product portfolio, trying to lower its cost. H. P E is really focused on limbo. IBM needs a mainframe product cycle to get back going, Ned APS facing its challenges and its kind of tweaking its go to market model. So all these other companies air dealing with sort of some structural changes. Where is pure is like put the put the foot on the gas and accelerate no pun intended. And so I think they're gonna continue to gain share for quite quite a number of quarters. >> I want to talk about sustainability before we break. And one of the things that Charlie talked about on his keynote is in terms of the modern data experience, he said. It was three things. It was simple, seamless and sustainable, an inch sustainable. You really started talking about the evergreen model that they launched a while ago that seems to be really sticky with organizations. He also talked about sustainability is a lot of other organization I need to adjust in terms of, you know, waste and carbon emissions and things like that. But I'm just curious, since Pierre is much smaller than the competitors that you mentioned and a lot more focus, obviously all in on flash. Where does the evergreen model, in your opinion, give them that tail winter? That advantage? >> Well, the Evergreen model was first of all brilliant marketing strategy and a business strategy Because if you think about the traditional storage vendors, they make so much money on maintenance, they would never have done this unless pure force them to do it. Because they're making so much cash on the maintenance. You know, it's it's you. You put the storage array in and we're just gonna charge you maintenance. And if you're not on the maintenance contract, sorry. You don't get all the software upgrades, everything else. So it's just this, you know, this lock in strategy, which is work brilliantly for two decades pure, comes along and says, Hey, where? Software driven. We're gonna allow you to get all the modern software. As long as you're got a subscription with us, we'll swap out your controller for free. You know, the competitors hate that. There's all kinds of nuances and stuff, but it worked, and customers love it. And so it's very strong, and it's a fundamental as they said, they got $600 million in deferred revenue, largely from that evergreen model. So they, you know, Charlie mentioned first for non disruptive upgrades. First for cloud management, first for a I ops first for always on que Os first with always on encryption, and if they're really the first, we're probably the first big company. They got a lot of attention there. Last thing, it's it's a four big announcements today. There's a I ready infrastructure, airy. They're doing some stuff they were first to announce with video. You know, a year or so ago, they got cloud offerings. Ah, block storage for AWS. And they've got clout Snap for Azure, which is actually pretty hot. It's backup on Azure, and they got product extensions. They got cheaper flash with a flash or a C for capacity. And then they have extended their all flashy raise their flash played etcetera with storage class, memory and and storage memory. And in this, this as a service model. Those are really the four big announcements that were gonna dig into all this week. >> We are, and we're gonna be talking with This is a great event. Two days. The cube is going to be here. We have seven pure customers to talk to you that I think kind of a record, at least in my cube experience of the last >> AWS always puts a lot of customers up too. You know. All >> right, well, there's no better validation than the success of a brand, whether we're talking about Evergreen or their first or the reaction of the market to bringing flash down to satya prices. So excited to dig into customer stories with you, Dave. Course we'll talk to some partners who got c'mon slung Cisco somebody else and probably forgetting. And, of course, some of the pure, exactly gonna be exciting two days with you and looking for two days >> looking forward to at least a great >> all right stick around. Dave and I will be right back with our first guest, Charlie Giancarlo, chairman and CEO of Pier Storage. Stick around, come back Mawston in just a minute.

Published Date : Sep 17 2019

SUMMARY :

Brought to you by This is the Cube. But the first thing to point out is, this is here is about to celebrate their the Cube. I felt like the keynotes least there were sort of, ah, speed date of what's coming. The competition, as the old guard is to use this term Dave and I saw an analysis that you did with some spends data, That's the cloud consumption mall is important because pure has about $600 million So they have to move to that as a service model. This numbers that the Amazon gentlemen, share that you mentioned Gardner were really interesting both My feeling is a big job of the CEO is to expand the Tamil. Adding a lot of momentum in cute to you mentioned the and they say happy Matt to flatten out quickly, say they're Where is pure is like put the put the foot on the gas and accelerate no You really started talking about the evergreen model that they launched a while ago that seems to be really sticky You put the storage array in and we're just gonna charge you maintenance. We have seven pure customers to talk to you that I think kind of a record, You know. of course, some of the pure, exactly gonna be exciting two days with you and looking for two days Dave and I will be right back with our first guest, Charlie Giancarlo,

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Breaking Analysis: Storage Spending 2H 2019


 

>> from the Silicon Angle Media Office in Boston, Massachusetts. It's the cue now Here's your host Day Volonte. >> Hello, everyone, this is David lot. They fresh fresh off the red eye from VM World 2019. And what I wanted to do was share with you some analysis that I've done with our friends at E. T. R. Enterprise Technology Research. We've begun introducing you to some of their data. They have this awesome database 4500 panel, a panel of 4500 end users end customers, and they periodically go out and do spending surveys. They've given me access to that spending data and what I wanted to do because because you had a number of companies announced this this quarter, I wanted to do a storage drill down so pure. Announced in late July, Del just announced yesterday late August. Netapp was mid August. HP was last week again late August, and IBM was mid July. So you have all these companies, some of which are pure plays like pure netapp. Others of you know, big systems companies on DSO. But nonetheless, I wanted to squint through the data and share with you the storage spending snapshot for the second half of 2019. So let's start with the macro. >> What you heard on the conference calls was some concern about the economy. There's no question that the tariffs are on people's minds, particularly those with large exposure exposure in China. I mean, Del obviously sells a lot of PCs in China, so they're very much concerned about that. IBM does a lot of business there, pure, really. 70% appears business roughly is North America, so they're not as exposed so But the macro is probably looks like about 2% GDP growth for the quarter i. D. C. Has the overall tech market growing at two ex GDP. Interestingly, a Gartner analyst told me in May on the Cube that there is no correlation between GDP and I t spend, which surprised me. Some people disagree with that, but But that surprised me. But nonetheless, we we still look at GDP and look at that ratio. Sometimes the other macro is component costs for years. For the storage business the last several years, NAND pricing has been a headwind. Supply has been down, it's kept prices up. It has kept all flash arrays more expensive relative to some of the spinning disc spread the brethren something that we thought would attenuate sooner. It finally has. Nan pricing is now a tailwind, so prices air coming down. What that does is it opens up new workloads that we're really kind of the domain of spinning disk before big data kind of workloads is an example. Not exclusively big data, but it just opens up more workloads for storage companies, particularly Flash Cos The other big macro we're seeing is people shifting to subscription models. They want to bring that cloud like model to the data wherever two lives on Prem in ah, hybrid environment in a public cloud and company storage companies trying to be that that data management plane across clouds, whether on prime it. And that's a That's a big deal for a lot of these companies. I'll talk a little bit more about that, so you're seeing this vision of a massively parallel, scalable distributed system play out >> where >> data stays where it lives. Edge on Prem Public Cloud and storage is really a key part of that. Obviously, that's where the data lives, but you're not seeing data move across clouds so much. What you are seeing is metadata, move and compute. Move to the data so that type of architecture is being set up. It's supported by architecture's, not the least of which are all flash, and so I want to get into it. >> Now I want to share with you some data on this slide. If you wouldn't mind bringing it up. Alex on spending momentum. So the title size spending moment of pure leads, the storage packs and what this shows is the vendor on the left hand side. And it essentially looks at the breakdown of the spending survey where e t r ask the buyers of the different companies products. What percent of the spending is going to go toward replacing? They're gonna replace the vendor. Are they gonna decrease? Spend. That's the bright red is replace. The sort of pinkish is decreased, the spending. The gray is flat. The sort of evergreen forest green is increase in the lime. Green is ad, so if you take the lime green in the forest, green ad and the grow on you subtract the rest. You get the net score, so the higher the net score, the better. you can see here that pure storage has the highest net score by far 48%. I'll show you some data later. That correlates to that when we pull out some of the data from the income statements. >> So this is Ah, the >> July 2019 spending intention surveys specifically asking relative to the second half what the spending intentions are. So this looks good for pure on again. I'll show you Cem, Cem Cem Income State income statement data that really affirms this Hewlett Packard Enterprise actually was pretty strong in the spending survey. Particularly nimble is growing HP Overall, the storage business was was down a little bit, I think, three points, but nimble was up 28%. So you're seeing some spending activity there. Netapp did not have a great quarter. They were down substantially. I'll show you that in a minute. On dhe, it looks like they've got some work to do. Deli M. C. I had a flat quarter. Dell has a such a huge install base. They're everywhere on DSO. Everybody wants a piece of their pie. Del. After the merger of the acquisition of the emcee, their storage share declined. They then bounce back. They had a much, much stronger year last year, and now it's sort of a dogfight with the rest. IBM IBM is in a major cycle shift. IBM storage businesses is heavily tied to its mainframe businesses. Mainframe business was way, way down, its overall systems. Business was down, even though power was up a little bit. But the mainframe is what drives the systems business, and it drags along a lot of storage. IBM has got a new mainframe announcement that it's got to get out. It's got a new high end storage announcement that it's got to get out, and it's really relying on that. So you can see here from the E T. R data, you know, pure way out ahead of the pack continues to gain share about over 1000 respondents to this. So a lot of shared accounts by shared accounts mean the number of accounts that that actually have some combination of multiple storage vendors. And so they were able to answer this 1068 respondents pure the clear winner here. Now let's put this into context. So the next slide I want to show you some of the key performance indicators from the June quarter off the income statements. >> So again you see, I get the vendor. The revenue for the quarter of the year to year growth for that quarter relative to last year. The gross margin in the free cash flow, just some of the key performance indicators that I'd like to look at. So look at pure Let's go, Let's go to the third column Look at growth pure 28% growth. Del flat 0% for this is just for storage. There's a storage growth. NETAPP down 16% end up in a bad quarter, HP down 3%. IBM down 21% Do due to the cycle that I discussed, You see the revenue, um, pure, growing very, very fast. But you know, from a small base or at 396 million versus compared that to Dell's 4.2 billion net APs 1,000,000,000 plus H p e. Almost a billion in IBM not nearly as large. And then look at the gross margin line. Pure is the industry's leading gross margin. It's just slightly above 69%. Dell is a blended that Asterix is a blended gross margin, so it includes PCs, servers, service's of V M wear, everything and, of course, storage. So now, when dehl was a public company before it went private, it's gross. Margins were in the high teens. So Del is in gross margin heaven with with both E, M C and V M wear now as part of its portfolio NetApp high gross margins of 67%. But that gross margin is largely driven by its gross margins from software and maintenance. And so that's a screen considerable contributor. Their product gross margins air in the mid fifties, kind of where I think E. M. C. Probably is these days. And when the emcee was a public company, it's gross. Margins were in the mid sixties, but then, as it was before, went private. I think it was dipping into the high fifties as I recall you CHP again, that's a blended gross margin, just roughly around 34%. I don't have as much visibility on their their storage gross margins. I would I would say they are below, in my view, what DMC and net out well below what Netapp would be on then IBM. That's again blended gross margin includes hardware. Software service is 47.4% probably half or more of IBM businesses. Professional service is on. IBM has, of course, a large software business as well. So and then the free cash flow you can see pure crushing it from the standpoint of of gaining share, I mean way, way ahead of the other market players, but only 14 million in free cash flow. So coming from a much, much smaller base, however pure, is purely focused on storage. So there are Andy. All their R and D is going into that storage space. DEL. Free cash flow very large. 3.4 billion that again is across the entire company. Net App. You can see 278 million h p e 648 million great quarter for HP from a free cash flow standpoint, I think year to date they're probably 838 140 million. So big Big quarter. For them. An IBM A 2.4 billion again. Dell, HP, IBM. That's across the company, as is the gross margin. So the the spending data from E. T. R. Really shows us that pure, strong Aziz showed you that very high net score and the intentions look strong, so I would suspect pure is going to continue to lead in the market share game. I don't see that changing. Certainly there's no evidence in the data. I think I think everybody else is in a sort of a dogfight del holding firm, you know, 0%. You'd like to see a little bit of growth out of that, but I think Del is actually, you know, Dell's key metric is, Are we growing faster than the market? That's that's they're sort of a primary criterion in metric for Dell is to grow faster than the overall market because that means you're growing some share. I think Del is comfortable with that. Della's gross margins actually were helped this this quarter by the fact that Dell server business was down 12%. There was a higher storage mix, so it propped up the margin a little bit. But again, generally speaking, it looks like pure is the market share winner here, but much, much smaller than the other guys. HB limbo very strong, and it shows up in the survey data from E T. R. And an IBM just needs to get a new product cycle out. So we'll come back. >> We'll take a look at this in in in in January and see how you know what it looked like and will continue to fall. Obviously, the income statement and the public reporting pure accelerate is coming up next month. Justin in mid September. I have no doubt, you know, pure has been first in a lot of different areas, right? They were first really all flash Ray. The only all flash. You're a company that ever reached escape velocity. They were they in Nutanix for the first kind of new $1,000,000,000 companies that people said would never have a billion dollar company. Pure is a pure play storage company, you know? Well, over a billion. Now, you know, they were first with that evergreen model. They made a lot of play there. You know, the first with envy, Emmy and first with the Nvidia relationships with Superior likes to be first. I have no doubt and accelerate next month down in Austin, curious that they picked Austin in Dell's backyard. I have no doubt that they're gonna have some other firsts at that show. Cuba be there watching just off of the emerald, the other big player here. Of course, that I'm not showing his v. San visa is very, very strong. You know, the D. E. T. Our data shows that, and certainly the data from the income statement shows of'em were NSX, the networking products, their cell phone to find network in their self defined storage of the the the V San. Very, very strong Pat Girl singer on the Cube. We asked him last week, Thio, take us through. So if someone has big memories and one of them was sort of East san, Excuse me. One of them was V San, and the board meeting at with Joe Tucci was on the Vienna where board really put a lot of pressure on Pat's and you can't do this to me. It's funny. Emcee had the shackles on the M, where for a number of years, but the shackles are off and visa is very, very strong. So these are some of the things we're keeping an eye on. Thanks for watching everybody busy day Volante, Cuban sites. We'll see you next time

Published Date : Aug 30 2019

SUMMARY :

It's the cue And what I wanted to do was share with you some analysis that I've done with our friends at E. But the macro is probably looks like about 2% GDP growth for the quarter not the least of which are all flash, and so I want to get into it. the forest, green ad and the grow on you subtract the rest. So the next slide I want to show you some of the key So the the spending data from E. T. R. Really shows us that Our data shows that, and certainly the data from the income statement shows of'em were NSX,

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Survey Shows Containers Won't Kill VMware...Yet


 

>> from the Silicon Angle Media Office in Boston, Massachusetts. It's the cue now Here's your host Day Volonte >> Hybrid. Welcome to this special edition of Cube Insights. This is the Cubes 10th year at VM World and leading up >> to V M World. >> We wanted to provide some data in some analysis to you all, and we're working with our partners at E. T. R Enterprise Technology Research. We first introduced you to them when IBM consummated the Red Hat acquisition and they provided some data. E T. R is affirmed. That does really detailed and fast ongoing data. They have, ah, large panel of end customers that they talked to about spending intentions, covering virtually every company in the Enterprise. It's it's great stuff. We reached out to them and came up with a number of questions that we wanted to address around Of'em World and VM where, so let me just start by showing you the questions that we ask them to help us with. And we did essentially what I call drill down survey. So we took their existing data sets. They just did a survey. They completed one in July on spending intentions for the second half of the year combined that, with all the time Siri's data that they had. So these are the questions that really are top of mind for I t decision makers in our community. First of all, what's the appetite for VM? We're spending the second half of 2019. We'll share some data on that. There's a second point is there's narrative out there that that containers are going to kill the M. Where, well, is that true? What is the day to say? How about Multi Cloud? It's the hot topic who was best positioned in multi cloud not only within the VM, where ecosystem but overall, obviously, the M, where has designs on multi cloud and is considered an early potential leader? How about NSX when VM wear but nice era? It changed the game on networking, changed their relationship with Cisco. How is Ennis Ex impacting spending on Cisco? Particularly, obviously a networking. The fifth question that we wanted to address is how is public cloud affecting the M where spend we know public cloud is growing faster than on Prem. What's the impact on the M wear? And then finally it was announced in the press that VM wear was going to acquire Pivotal. Why would that be all right? So let's get into it. The first thing that I want to address is the first question in spending intention. So this slide really shows the results of the second half survey. It's 600 >> and >> 93 respondents representing almost $300 billion in spending power. And so it's actually they were asked what you're spending intention intentions For the second half of 2019 you could see 41% of the respondents said they're going to spend Maur, and only 7% said they're gonna spend less. About 45% said >> they gonna hold firm >> small number 5%. So we're gonna add new and only a tiny infant testable. 2% said they were gonna replace the anywhere, so that's pretty good for an incumbent. And essentially it Sze holding serve and maybe doing a little bit. But even better than holding serve on. So So we saw. That is very positive. The next question that we want to address is the narrative of containers will kill the M, where we asked Pat Gelsinger about that on the Cube years ago, he said, Hey, we're gonna use this as a tail wind. We're gonna embrace containers. So the bottom line is there's very little evidence that containers are hurting the M where let alone killing the end. Where this is a portion of the survey, about 461 respondents on you can see that you know, the big big blip early on back in July 27. Dean. Big uptick in spending, and since then it's been relatively stable. But the important point here is the number of shared accounts that we went to essentially container customers and asked them about their VM wear. Spend. I say we eat. TR did. This is what they do on an ongoing basis, and you could see the number of shared accounts back in 17 was only eight. But as you go to the right hand side, the more recent surveys you're talking about 361 shared accounts of the data sample got much bigger. No evidence that the M where is being negatively impacted by containers kind of affirming the assertion of Pat Gelsinger. Let's talk about multi club. I have said that multi cloud to date has largely been a symptom of multi vendor It's cos acquiring Cloud Technologies for specific workloads. Its shadow i t. It's pockets of cloud activity versus a coherent strategy to manage across multiple clouds. True Hybrid Cloud. We're in the early stages, so the data here, in our view, shows that multi cloud really is jump ball. Um, Interestingly, however, Microsoft and Google is showing momentum. So with this slide shows is the cloud spending intentions. And we picked, you know, the top five players there, that air sort of angling around multi cloud ghoul with Antos. Clearly Microsoft coming from its large software estate of V M. Where, of course, which many believer are early favorite Red Hat with the IBM acquisition and Cisco. So what's interesting here is Google and Microsoft clearly have a lot of momentum kind of mind share in the market place, and not a lot of hard core spending going on and multi cloud. Everybody has multi clouds, but in terms of spending on specific products, does like Antos, for instance, from Google, designed for to support multi cloud. That's where in the early stages there, but you can see the sentiment that buyers have around multi cloud Google and Microsoft showing momentum. Interestingly, VM wear Red Hat and Cisco kind of, you know, bunched up as the big enterprise player. So that's why we call a jump. Oh, we see it is wide open. You know, Cisco might surprise some people, but it really doesn't surprise us. Cisco's coming at multi cloud from a position of networking strength of each of these players you know has their strength. Google with Antos Microsoft from its software state Veum, where clearly as the data center operating system red hat with open shift Now with IBM service is capability. And, of course, Sisko coming at it from networking and security. So so hard to conclude you know who wins out of this data but wanted to share that with you just in terms of what customers are thinking around multi cloud. Okay, big conversation in the community around networking generally specifically NSX. When VM wear beats us, go to the punch and acquired nice era. It stated that we want to do to networking in storage what we did for servers. Well, what did the end? Where do the servers they really co opted the marketplace changed the game and really became, you know, these central point of server management, and that's what they want to do with with networking. VM where is trying to de position Cisco as, ah, hardware vendor, Cisco is responding with its own software defined capabilities and is an interesting battle going on. What is the data show? This shows that network networking spend intentions for Cisco, the Red Line and the M Wear the Blue Line. You can see VM where NSX is sort of bouncing around but has very high mindshare. Where Cisco it's showing a holding firm, but a very gradual decline, I've said many times. Cisco very impressive company, 60 plus percent market share. They've held that for a long, long time, despite some of the successes that you've seen you by the likes of a risk juniper and F five et cetera. Cisco has held its dominant share, but nonetheless, it's clear that NSX is impacting Cisco's dominance. Certainly from a marketing standpoint, and you're seeing also, from a spending standpoint that NSX is really challenging Cisco. It'll be very interesting to see how that plays out over time. Okay, next question was okay. What about cloud. How is that affecting VM? Where we see the cloud numbers, we see the growth. What does that mean for VM wear? And you can see here this'll cloud customers of'em were spend about 718 respondents, and you can see the number of shared accounts in the sample is substantial. 3 94 3 79 for 69. It obviously changes by by the frequency that e t. R does these surveys and they do, you know, several times a year, as you can see, but, you know, large sample of shared accounts. And there's no question that Cloud customers continue to shift Maur. They're spending to the public cloud and potentially at the expense of the end, where you can see the gradual decline here and somewhat precipitous decline. VM. We're still very strong. Stock price is doing great, but there's a little question in our mind that long term VM where, despite cleaning up its cloud strategy with first the AWS Partnership and also now partnerships with Google and Microsoft, and of course, I'd be Emma's Well, they were first, but having public cloud partners nonetheless, we see that over time there's a riel tension there. That on Prem is not going to grab the market, share that growth that the cloud has. And that is a challenge for VM, where that we continue to watch finally pivotal. Why would a V M where acquire? Pivotal? Well, first of all, this is why Pivotal is not work. It doesn't have the momentum that it wants in the marketplace. You can see it's it's pretty steep decline over the last couple of years. On Dhe, it's precipitous. Ah, drop in stock price. Essentially, Del and the governance structure of Del Technologies, which course owns VM, wear a large portion of pivotal saying, Look, let's let's roll this back in. Let's give the stock price of boost. The stock went up 70 plus percent of the day that thou went down 800 points. And so this is why the M, where would buy Pivotal? You know, it's a forcing function, we believe, from from Del. It also makes sense, del in its family del technologies that has these software assets VM where is the mother ship of the Del software operation? So why not folded in personally? I think they should do it with some other software assets as well. Secureworks del Bumi, Arcee. All candidates to roll in potentially overtime to Vienna where at least portions of it, anyway. Okay, so let's summarize. What are the key takeaways? What's the appetite for Veum warrants in the second half of 2019? Pretty solid, we'd say. Well, containers kill VM where there's no evidence, certainly in the theater. But there are threats. Think about sass. How many SAS providers are actually running? VM where so, as SAS continues to grow in prominence of that is a potential blind spot for VM. Where that we're watching Who's best position in multi cloud? It's wide open. Microsoft look strong. Google clearly has some momentum. Cisco maybe surprises many, but I think it's not gonna be a winner. Take all we feel is, though there's a lot of opportunities, but number one is going to make the most money. And so it's a very important space that we're watching. House NSX impacting Cisco Spend. It's a battle, but NSX is clearly negatively pressuring, pressuring Cisco. How about Public Cloud? How is that affecting the M we're spend? We think it's slowly eating away at on print on Prem including the end, where I want to share with you a quote from one of the customers that E. T. R talked to its ahead of, ah, retail consumer organisation in North America. A long time I t practitioner says Veum wears everywhere that I've ever been. I've been a customer. Longtime VM were customer hair. She means it's the standard, but it's interesting situation to see what's their next step. How do they keep themselves relevant? I think they're always going to be a need for Veum where, especially because the ability to have the privacy of an extended network is key. However, with the cloud based environment and encrypted data, it's gonna be interesting to see how that all plays out how Veum wear deals with that approach. I think their next strategic steps are going to be crucial. I think that VM where has to be thinking long term. Okay, what do we do about Cloud? Remember VM, where early on tried to get into cloud and with its own public cloud option, became the cloud air. It failed. They got rid of it, cleaned up their cloud strategy. But why did VM where originally want to get into that business because they know that's world of growth is so yes, hybrid and multi cloud gives VM wear a lot of runway. The partnership with Amazon has a lot of momentum. I didn't share that data, but it's very clear that AWS uh Veum, where on AWS has strong momentum. And so that's certainly what the e t. Our data shows nonetheless, long term, you gotta ask what strategic moves will Michael Dell make to secure their position in the public cloud? Okay, lastly, whywould whywould vm will require pivotal. That's a duh. Okay, we gonna stated why So So that's the deal, thanks to our friends at E T. R. Really appreciate them sharing the data enterprise technology research If you wanted this, there's so many cuts on the data, it's it's unbelievable. You can cut it by large companies, small company industry applications and every company on the planet. You can compare companies together. It's really a powerful set of data, but also access tools that they have developed very, very nice, really modern version of survey panels. And so follow up with us. Follow up with them if you want more information and watch us at VM World will be covering these and many other issues that are tent year at VM World. All the key execs are gonna be on practitioners, customers, partners on, of course, analysts and the broader ecosystem technologists and John Ferrier stew Minuteman myself on the entire Cube team will be there to celebrate. So check it out, cube dot net and we'll see you next week. Thanks for watching.

Published Date : Aug 22 2019

SUMMARY :

It's the cue This is the Cubes 10th What is the day to say? half of 2019 you could see 41% of the respondents said they're going to spend the end, where I want to share with you a quote from one of the customers that E.

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Dejan Bosanac & Josh Berkus, Red Hat | KubeCon + CloudNativeCon EU 2019


 

>> Live from Barcelona, Spain, it's theCUBE. Covering KubeCon, CloudNativeCon, Europe 2019. Brought to you by Red Hat, the Cloud Native Computing Foundation and Ecosystem Partners. >> Welcome back to theCUBE here in Barcelona, Spain. This is KubeCon, CloudNativeCon 2019. I'm Stu Miniman, my co-host for two days of wall-to-wall coverage is Corey Quinn. Joining us on the program we have two gentleman from Red Hat. To my right is Josh Berkas who's the Kubernetes community manager and sitting to his right is Dejan Bosanac who's a senior software engineer and as I said, both with Red Hat. Gentlemen, thanks so much for joining us. >> Well thank you. >> Thank you. >> All right. So Josh, a community manager in the Kubernetes space, so what brings you here to KubeCon and maybe explain to us and give the clarification on the shirt so that we can be educated to properly call this city and residence by, how they should be. >> Oh, so many things, so. I mean obviously, I'm here because the community is here, right? A very large community. We had a contributor summit on Monday. They had a couple hundred people, three hundred people at it. The important thing, when we talk about community in Kubernetes there's the general ecosystem community and then there's the contributor community. >> Right. >> And the latter is more with what I'm concerned with. Because even the contributor community by itself is quite large. As for the t-shirt, speaking of community, so we like to actually do special t-shirts for the contributor summits. I designed this one. Despite my current career, my academic background is actually in art. This is obviously a Moreau pastiche, but one of things I actually learned by doing this was I did a different version first, It said Barca on it, and then one of the folks from here is like, "Well that's the football team." That when they abbreviate the city, it's actually Barna. >> It was news to me. I am today years old when I found that out. >> Yes. >> So thank you very much for that. >> Yes, that was an additional four hours of drawing for me. >> All right. Go ahead Corey. >> So a while back, I had a tweet that went out that I knew was going to be taken in two different ways and you were one of the first people to come back on that in the second way. Everyone first thought I was being a snarky jerk. >> Yeah. Which, let's be honest, fair. >> Yeah. >> But what I said was that in five years no one is going to care about Kubernetes. >> Right. >> And your response was yeah, that's a victory condition. If you don't have to think or care about this, >> Yeah. >> that means it won >> Right. >> in a similar way that a lot of things have slipped >> Yeah. >> beneath the level of awareness. And I'm curious as to what both of you think about the idea of Kubernetes not, I'm not saying it loses in the marketplace, I don't think that that is likely at all, but at what point do people not have to think about it any more and what does that future look like? >> Yeah, I mean one of our colleagues noticed yesterday that this conference particularly is not about Kubernetes any more. So, you hear more about all the ecosystem. A lot of projects around it. So it certainly grew up above the Kubernetes. And so you see all the talks about service meshes and things we try to do for the edge computing and things like that. So it's not just the Kubernetes any more. It's a whole ecosystem of the products and projects around it. I think, it's a big success. >> Yeah. And I mean I'll say, talking sort of a longer view is, I can remember compiling my own Linux kernels. I can remember doing it on a weekly basis. Because you honestly had to, right? If you wanted certain devices to work you had to actually compile your own kernel. Now on my various servers and stuff that I do for testing and demos and development, I can't even tell you what kernel version I'm running. Because I don't care, right? And for core Kubernetes, like I said, if we get to that point of not needing to care about it of only needing to care about it when we're developing something, then that looks like victory to me. >> Josh, is there anything in the core contributor team that they have milestones and say "Hey, by the time we get to 2.0 or 3.0, you know Kubernetes is invisible?" >> Yeah, well it's spoken of more in terms of GA and API stability >> Yeah. >> because really, if you're going to back off and you're going to say, "What is Kubernetes?" Well, Kubernetes is, what the definition of Kubernetes is, is a bag of APIs. A very large bag of APIs, we do a lot of APIs but a bag of APIs and the less those APIs change in the future the closer we're getting to maturity and stability, right? Because we want people building new stuff around the APIs, not modifying the APIs themselves. >> Yeah well, to that end, last night, here at Barcelona time, a blog post came out from AWS where they set out a formalized deprecation strategy for their EKS product to keep up with the releases of Kubernetes. Now, AWS generally does not turn things off ever, which means that 500 years from now, two trunkless legs of stone in a desert will be balanced by an ELB classic. And we're never going to be rid of anything they've ever built, but if nothing else, you've impacted them to formalize a deprecation strategy that follows upstream, which is awesome. It's great to start seeing a world where you don't have to support older versions of things as your user base and your community informs you. It's nice to see providers breaking from their model to respond to what the community has done. And I can't imagine, for you, that's anything other than an unqualified success. >> All right, so, Dejan. >> Yeah? >> When we talk about dispersion of technology, you know, there are few issues that get people as excited these days as edge computing. So, tell us a little bit about what you're doing and the community's doing in the IOTN edge space. >> Yeah. So, we noticed that more and more people want to try their workloads outside of the centralized, mon-centralized data clusters, so the big term for the last year was the hyper-cloud, but it's not just hyper-cloud. People coming also from the IOT user space wants to, you know, containerize their workloads, wants to put the processing closer and closer to the devices that they're actually producing and presuming those data in the users. And there's a lot of use cases which should be tackled in that way. And as you all said previously, like Kubernetes won developers' hearts and minds so APIs are stable, everybody's using them, it will be supported for decades so it's natural to try to bring all these tools and all these platforms that are already available to developers, try to tackle these new challenges. So that's why last year we formed Kubernetes IT edge working group, trying to, you know, start with simple questions because when people come to you and say edge, everybody thinks something different. For somebody it's an IOT gateway, for somebody it's a full blown, you know, Kubernetes cluster at some telco provider. So that's what they're trying to figure out, all these things, and try to form a community because as we saw in the previous sales for the IOT users space is that complex problems like this are never basically solved by a single company. You need open source, you need open standard, you need community around it so that people can pick and choose and build a solution to fit their needs. >> Yes, so as you said, right, there is that spectrum of offerings everything from that telco down to, you know, is this going to be something sitting on a tower somewhere or, you know, the vast proliferation of IOT which, you know, we spent lots of time. So are you looking at all of these or are you pointing "Okay, we already have a telco working group over here, and, you know, we're going to work on the IOT thing." You know, where are we? What are the answers and starting point for people today? >> Yes, so we have a single working group for now and we try to bring in to people that are interested in this topic in general. So it's, one of the guys said like "Edge is everything that's not running in the center crowd right, so, we have a couple of interesting things happening at a moment, so future way guys have a cubics project and there're presented at this conference. We have a couple of sessions on that. That's basically trying to tackle this device age kind of' space, how to, you know, put Kubernetes' workload on the constrained device and over to constrained network kind of' problem. And we have a people like coming from the rancher, which provide their own, again, resource-constrained Kubernetes deployments, and we see a lot of developments here, but it's still, I think, early age and that's why we have like a working group which is something that we can build our community and work over the time to shape things and find the appropriate reference, architectural blueprints for people that can follow in the future. >> Yeah, I think that there's been an awful lot of focus here on this show on Kubernetes, but it is KubeCon plus CloudNativeCon. I'm curious as far as what you're seeing with these conversations, something you eluded to as well is that there's now a bunch of other services that are factored in. I mean, it feels almost like this show is become, just from conversations, Kubernetes and friends; but, the level of attention that being paid to those friends is dramatically increasing. And I'm curious as to how you're seeing this evolve in the community particularly but also with customers and what you're seeing as this entire ecosystem continues to evolve. >> Yeah. Well, I mean part of it out of necessity, right, as when Kubernetes' move from Dev and experimental into production, you don't run Kubernetes by itself, right? And some of the things with Kubernetes is you can run with existing tooling, rank cloud providers, that sort of thing. But other things you discover that you want new tools. For example, one of the areas that we saw, expansion to start with, was the area of monitoring and telemetry because it turns out that monitoring telemetry that you build for a hundred servers does not work with twenty thousand pods. It's just a volume problem there. And so then we had new projects like Heapster and Prometheus and the new products from other companies like Sistic and that sort of thing, just looking at that space, right, in order to have that part of the tool because you can't be in production without monitoring and telemetry. One of my personal areas that I'm involved is storage, right, and so we've had the rook project here go from and pretty much a year and a half actually, go from being open sourced to being now a serious alternative solution if you don't want to be dependent on cloud provider storage. >> Please tell me you're giving that an award called Rookie of the Year. [laughs] >> I do not apologize for that one. One thing that does resonate with me though is the idea that you've taken, strategically, that instead of building all of this functionality into Kubernetes and turning it into, "You'll do it this way or you're going to be off in the wilderness somewhere," it's decoupled. I love that pattern. Was that always the design from day one or was this a contentious decision history? >> No, it wasn't. Kubernetes started out as kind of a monolith, right, because it was like the open source version of borg light, right, and, which was build as a monolith within Google 'cause there weren't options. They had to work with Google's stuff, right, if you're looking at borg, right, and so they're not worried about supporting all this other stuff, but from day one of Kubernetes being a project, it was a multi-company project, right, and if you look at, you know, open shift and open shift's users and open shift's stack, it's different from what Google uses for GKE. And, honestly, the easiest way to support sort of multiple stack layers is to decouple everything, right? And not how we started out, right? Cloud providers, like one of our problems cloud providers entry, storage entry, networking. Networking was the only thing that was separate from day one. You know but all this stuff was entry, and it didn't take very long for that to get unmaintainable, right? >> Well, I mean I think one of the, I've been following you and running into you in the conference circuit for years, and one of the talks I gave for a year and a half was Heresy in the Church of Docker where we don't know what your problem is but Docker, Docker, Docker, Docker, Docker, and I gave a list of twelve or thirteen different reasons and things that were not being handled by Docker. And now, I've sunset that talk largely because 1) no one talks about Docker and it feels a bit like punching down, but more importantly, Cooper Netties has largely solved almost all of those. There are still a few exceptions here and there 'cause it turns out "Sorry, nothing is perfect and we've not yet found containersation utopia. Surprise!" But it's really come a very long way in a very short period of time. >> Yeah, what a lot of it is is decoupling 'cause the thing is that you can take it two ways, right, one is that potentially as an ecosystem Kubernetes solves almost anything. Some things like IOT are, you know, a lot more alpha state than others. And then if you actually look at just core Kubernetes, it's like what you would get off the Kubernetes' Kubernetes repo if you compiled it yourself, Kubernetes solves almost nothing. Like by itself, you can't do much with it other than test your patches. >> Right, in isolation, the big problem it solves is "Room is limited to 'I want a buzz wort on my resume.'" >> Yes. >> There needs to be more to it than that. >> So, and I think that's true in general 'cause like, you know, if you look at "why did Linux become the default server OS, right?" It became the default server OS because it was adaptable, right, because you would compile in your own stuff because we define posics and kernel module API's to make it easy for people to build their own stuff without needing to commit to Lin EX Kernel. >> Alright, so I'd to get both your thoughts just on the storage piece there because, you know, 1) you know, storage is a complex, highly fragmented ecosystem out there. Red Hat has many options out there, and, boy, when I saw the key note this morning, I thought he did a really good job of laying out the options but, boy, there's, you know, it's a complex multi fragmented stack with a lot of different options out there, and edge computing, the storage industry as a whole without even Kubernetes is trying to figure out how that works, so Dejan, maybe we start with you, and yeah. >> So yeah. I don't have any particular answers for you for today in that area, but what I want, to emphasize what Josh said earlier is that these API's and these modelization that is done in Kubernetes, it's one of the big important things for edge's vow because people coming there and saying "We should do this. Should we invent things or should we just try to reuse what's a basically very good, very well designed system?" So that's a starting point, like why do we want to start using Kubernetes for the edge computing? But for the storage questions, I would hand over to Josh. >> So, your problem with storage is not anything to do with Kubernetes in particular, but the fact that, like you said, the storage sort of stack ecosystem is a mess. It's more vendor. Everything is vendor specific. Things don't work even semantically the same, let alone like the same by API. And so, all we can do in the world of Kubernetes is make enabling storage for Kubernetes not any harder than it would have been to do it in some other system. >> Right, and look, the storage industry'd say, "No no. It's not a mess. It's just that there's a prolifera of applications our there. There is not one solution to fit them all and that's why we have block, we have file, we have object, we have all these various ways of doing things, so you're saying storage is hard, but storage with Kubernetes is no harder today. We're getting to that point. >> I would say it's a little harder today. And we're working on making it not any harder. >> All right, excellent. Well, Josh and Dejan, thank you so much for the updates. >> Thank you guys. Always appreciative of the community contributions. Look forward to hearing more about the, of course, the contributors always and as the Edge and IOT groups mature. Look forward to hearing updates in the future. Thank you. >> Cool. >> Thank you guys. >> Alright, for Corey Quinn, I'm Stu Miniman back with lots more coverage hear from KubeCon CloudNativeCon 2019 in Barcelona, Spain. Thanks for watching theCube.

Published Date : May 22 2019

SUMMARY :

Brought to you by Red Hat, and sitting to his right is Dejan Bosanac so what brings you here to KubeCon because the community is here, right? And the latter is more with what I'm concerned with. I am today years old when I found that out. So thank you Yes, that was All right. in two different ways and you were one of the first people Yeah. no one is going to care about Kubernetes. If you don't have to think And I'm curious as to what both of you think And so you see all the talks about I can't even tell you what kernel version I'm running. "Hey, by the time we get to 2.0 or 3.0, but a bag of APIs and the less those APIs change where you don't have to support older versions of things and the community's doing in the IOTN edge space. for somebody it's a full blown, you know, Kubernetes cluster everything from that telco down to, you know, for people that can follow in the future. And I'm curious as to how you're seeing this evolve And some of the things with Kubernetes is you can run Rookie of the Year. Was that always the design from day one a multi-company project, right, and if you look at, and one of the talks I gave for a year and a half was the thing is that you can take it two ways, right, one is Right, in isolation, the big problem it solves is "Room you know, if you look at "why did Linux become on the storage piece there because, you know, 1) you know, I don't have any particular answers for you like you said, the storage sort of stack ecosystem is Right, and look, the storage industry'd say, "No no. And we're working thank you so much for the updates. Always appreciative of the community contributions. Alright, for Corey Quinn, I'm Stu Miniman back with lots

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Michael Dell Keynote Analysis | Dell Technologies World 2019


 

>> live from Las Vegas. It's the queue covering del Technologies. World twenty nineteen. Brought to you by Del Technologies and its ecosystem partners. >> Hello and welcome to Del >> Technologies with Cubes Coverage Our tenth year covering DMC World del World Here >> Pat Kelsey who test Not your time yet, but you're going to be coming on later. >> Great key note. Thanks for coming by. >> I appreciate it. Explored back tomorrow. You later. All right. >> Not Kelson. You're kicking off the cube coverage. Three days. The wall, the wall colors. Got two sets. Shotgun of content. We got to cube cannons blowing out the content. I'm John Force to minimum David. Want a key note? Uh, really kind of the tectonic plates in the industry. Kind of coming together you had on stage is something. The Tele CEO of Microsoft, Michael Dell, CEO of Down, founder of Del Technology and Pat Gayle Sr. Legends in the industry Captains of the industry. Really a critical juncture for Del technology worlds and a slew of other announcements. But the Del Cloud unified workspace but showing Microsoft on stage. This is a game changing move for Del technology world sure del del Technologies. But also of'Em. Where. Bm where in bed with eight of us. We know that cover that relationship now, going multi cloud all the way with Azure and seeing the CEO on stage Pretty incredible days. >> I think you nailed it. It's a V m wear story, John, and the numbers tell it. VM wears market value's eighty three billion Del owns eighty percent of it. That's sixty >> six billion. What's left. Dell's market value is forty seven billion. That says, the Del Cores worth negative nineteen billion. If it weren't for VM, where Satya Nadella wouldn't be here and you're seeing Michael Dell really drive the integration? He said that several times on stage today. How much collaboration? I love the collaboration across the divisions. You saw Jeff Clarke with Pack yell Sigur talking about new desktop management, talking about VM wear Cloud on del. It's of'Em were story You're right on >> and pack. Kelsey is to really key message up their simplicity, simplifying I t. The Common operate. I felt like we were in a Cube interview four years ago because that's was the basis of hybrid cloud now kind of coming to fruition. Clear visibility, at least on the tech stack side on the operating side, this is an operator world in a developer world, and simplicity and ease of operations is going to be the critical differentiated for the winners. >> Yeah, so So, John. First of all, I think we're getting some clarity on this multi cloud world. Look, one of the things that Veum where did so? Well, not just that wave, A virtual ization, but V Centre was the centre of I t management. And the question is, can they extend that into multi cloud world? When Veum where made the partnership with a W s. It's like, Oh my gosh, what does that mean to Del We got the answer today. What? That means Adele Veum were cloud on Del AMC hardware for me personally. That relationship between VM Rendell I think it's closer from the top executive all the way on down to the field go to market than it ever was. I was one of the first people working with VM where a DMC I watched that relationship emcee always kept them is kind of the way own you, But you're gonna be independent work across the board across the board. You hear. You know V s right. V X, Ray Allen and XX and P. K s and all these wonderful products Dell and VM work developing together, going to market together. It has ripples, but Amazon likes it. Microsoft like that big deal to see Veum wear and Microsoft partnered together. There are some challenges with some other partners Visa vi, Cisco And you know, some of some of the others, like IBM and HB that, if historically partner a lot with the anywhere but a lot of exciting news and definitely on >> and cha gi ve m were knocked down Google last month. >> So, guys, this is the theme we're seeing. We see Zoom went public. That was a videoconferencing disrupting an existing industry people thought would never be disrupted. You heard something and tell a stay on stage. Say on stage here that the new generation of new APS need new infrastructure. So a re vamp, a reset revitalisation of infrastructure to power APS via cloud. It's kind. The same game computing resource is software APS but with a whole new distributor architecture. A boom is coming. We see the stock market is up huge. You see the tech earnings last week across the board. Solid results. This is now a game change. This is not a bad business to be in. You know what was once could be. A declining business sees more remote workers, people working from multiple locations, mobile unification with cloud computing, a complete renaissance across the board game. I mean, this is a big revenue opportunity. >> Well, Mike Michael Dell's Kino wasn't just about products. It was about innovation. He talked about solving world problems, a big picture stuff on. Then he let Pat and Jeff get down a little bit more into the product. Weeds and you'LL hear more of that. But Michael is laying out a huge vision. What a juxtaposition between that's what, four, five years ago, you had sort of Joe Tucci, the chairman, up on stage. Michael was there. You had. You had John Chambers there. Now Michael owns the whole kit and caboodle. He's calling the shots, and people want to do business with them. Veum, where again, As you pointed >> out to me and Lucia question, you've been following the emcee for a long time. When we interviewed Michael Dell years ago, when he was in private that he bought AMC one of things. He said a lot. People were pooh poohing the whole deal. Why they want to buy that boat anchor. He said, scale matters. So are we seeing a new generations do elected to weigh in on this too, of competitive strategy where scale matters because you look at what Del Technologies has done and is doing there essentially rolled up the global I t business and are competing at scale with synergies not even looked at before early on when we talked about it. But we started see from fruit off that scale Amazon prove scale cloud Uh, Microsoft moves of the clouds scale up now the earnings air up Thoughts >> Well, what strikes me, John, is that, you know, they always talk about end end cos talk about synergy. Synergy is a code word for cutting what you heard today. You had be ave up there, you know, talking about a video and talking about the end end capabilities that Del technology brings Del by acquiring the emcee. And of course, VM. Where is a much way more strategic partner for corporations way more than many of these startups? Khun B. so that is their linchpin. You could maybe criticize him on innovation and, oh, maybe they don't have the hottest product, but and end throw in financial services and other services. People want to do business with this company because they trust >> to scale clouds scale, delle scale, scale. >> So we heard Tom suite this morning. Talk about that, Del. Maybe I missed a couple of turns in the marketplace and they needed to go private to kind of rearrange things When they bought emcee. We knew that there are a couple of tail winds that they could arrive hyper converge infrastructure. Absolutely one. We've been watching that trend since day one that their outpacing the industry there. The leader. If you talk from a software standpoint, VM wears their. If you talk from a hardware standpoint, Dell's there who's number two in the space nutanix, which also is a complicated relationship. But Del sells that in Vienna, where still is the primary hyper visor on that environment, so they're still beating the market growth. But they're doing that by gaining market share on DH taking it. Michael always loves to talk about when he's taking market from the business So the question is the overall macro, you know, how long can they keep that double digit growth going? And Dave, I know you're looking to begin with Tom Sweet. A >> ninety billion dollar business grew fourteen percent last year. So this company, in order to grow it has to gain share because the market is not. You're not going that fast. You can't rely on repatriation. I'm sorry that people are going to just disappear from the cloud and come back. So you've got to gain share the other thing, I think, to their favours. Let's face it, they really did have their act together in storage. They were kind of missing the boat there and took their eye off the ball. PC stayed strong. They got their act together in storage, which helped with the product. Mitch mixed higher margins. So last year was a very, very strong year. Twenty twenties going to be a tougher compare, but it seems like they still have some knobs to turn >> just about competition. But, um, Nutanix, what do they do? VM where relationship with a W s. I'm sure. Andy Jackson looking distant, healing words like chaotic, complex, the bane of our existence. Kind of talking about cloud in general and you deal with multiple clouds were packed. Nelson, you say that, um kind of public cloud losing babe flavor here means to you got the public cloud dominating. Now, all this talk about on premise and you got nutanix out there. What? What happens in Nutanix here? >> Yes. Oh, look, Nutanix astute. Doing well on Dell is a very important O am. But way just on nutanix made a big partnership with Hewlett Packard Enterprise. Which, of course, I'm sure Michael doesn't like that happening. You know, Nutanix needs to keep growing their rice software company. It's interesting to talk about the other competitors I mentioned Cisco. Cisco is transforming themselves into a software company. Del Del Technology is the core business wants to be the leading infrastructure company they have VM wear. Bumi and Pivotal are their software branch with the core. Business is really around that scale that that that whole you know, infrastructure piece and it's a different chuck it the Mark >> Chuck Robbins that Cisco CEO Cisco's not yet made a big, bold move like a red at move. Well, could nutanix be that move game? >> Well, I don't know. I don't know. I think I play is an I o T. But But But to your point about your question about the cloud Cloud is not attenuating Amazons, with thirty billion dollar company growing forty one percent a year throwing off twenty five thirty percent operating margins. I mean, that's where the innovation is. That's where the scale is. Everybody wants to do multi cloud because they don't have a cloud. It's your only path if you don't have a cloud. So So I think Cloud's got a long walk >> look and they talk to you know, I tell you, you know, my community got all excited when Michael got up on stage and said, We're all in on Corin eh? Teas and what we're doing with multi cloud you're going to hear under the covers here. Everything is going from VM wear V M as that unit down to container ization, you know, talking about at that application modernization. That's where they're going to lean on VM wear modernizing some what they're doing. And you know, of course, pivotal in Bhumi are the ones that are the tip of the spear in that area. >> I don't think David, it's a suit point there. The Amazon growth will continue because if you look at what Del Technologies has rolled out today, certainly that Microsoft thing is well shot across the bow. Multi cloud, Nice checkbox. Great to see the committee of the CEO there. But everything benefits with sass in the clouds. SAS is a cloud game And if scale on the clouds gonna be there, I only see the public cloud getting stronger because the scales they're the economics cannot be ignored. Certainly the data equation will be interesting, but anon a premise infrastructure that's set up operating like a cloud. I think we'LL ultimately benefit because Amazons weak link, if there is one, is that they really don't have a sass business, right? So they have a series of customers that deuce ***. But that's going to be an opportunity for all those workloads to run on the clouds. And the question is >> going to be >> how how >> cloud like is what we here today. And I I'm a skeptic. I want to see it first, you know, Show me. >> Yeah. No, I mean, what do we hear? What are you know Veum works, you know, services on Azure. It's the STD sea stack. So we understand what that is. It is more than just virtualization. But we used to say Private Cloud just can't be virtual ization plus plus. So Veum wears, you know, expanding and changing that model. But, you know, is it cloud enough? I mean the David, you know? Oh, you want to finance it with an effects we could totally have That affects affects the two. It's great. But, you know, >> at the end of the day, innovation and economics winds and the cloud guys have the scale. I mean, look at the amount of money we heard from Google last month. They spent what, twelve billion dollars in Cap Ex through April. It would take Oracle six years to spend that much in Cap Exit would take IBM three and a half four years to spend that much in CAF X. They're cost structure is going to be so much lower. And ultimately, I believe that's going to win. >> Talk about the winners and losers because we heard at the Bank of America you mentioned also what you just said. They're the future has redefined not how you got here, how you move forward. What's the competitive positioning posture for a winning supplier in the modern era of Iranian Cloud? >> I think it's really smart that Adele is forcing these integrations and getting out ahead of this multi cloud thing, I guess said before. If you don't have a public cloud, you've gotto get into that multi cloud management business. VM wears their their their obvious linchpin. They're early in the game. This is Guest is going to play over the next five to seven years. But VM wear has knocked down eight of us. Google, now Azure. They've got a relationship with Alibaba. It's just a matter of time before you see that one happening. So they are in the pole position. The other one is IBM Red Hat. I mean, those are the two favorites in my >> and by the way, red hats here. And if you want to run, you know the latest greatest red hat solution on the Del Ready notes. You know, of course you can do that. So you know, we'd love to talk about competition, but at the end of the day, it's what's good for customers and can they pick and choose the option of their choice. How much do I get? A full stack. That's the same. And how much is their choice? And I didn't hear the word choice. Ah, lot because, you know, they were focusing on certain announcement day. But absolutely, Adele has done a good job in the space in the cloud space of laying out the top choices that customers want. >> The choice wasn't used because the choices del they'LL ship you VX rails. I'm not sure they'll be shipping other things in there. Maybe they will, too. Thanks for the analysis. Degraded. Al says, man, It's gonna be a great show. Three days of wall to wall comes to cube sets two cannons of content coming your way here A Dell Technology world. The Cube cannons stay with us for three days. I'm jumpers Do Minimum day Volonte Lisa Martin, Rebecca Knight All here in Las Vegas for Delta No stay with us We'LL be right back

Published Date : Apr 29 2019

SUMMARY :

Brought to you by Del Technologies Great key note. I appreciate it. We know that cover that relationship now, going multi cloud all the way with Azure I think you nailed it. I love the collaboration across is going to be the critical differentiated for the winners. There are some challenges with some other partners Visa vi, Cisco And you know, Say on stage here that the new generation of new APS need new infrastructure. He's calling the shots, and people want to do business with them. do elected to weigh in on this too, of competitive strategy where scale matters because you look Well, what strikes me, John, is that, you know, they always talk about end end cos talk about synergy. overall macro, you know, how long can they keep that double digit growth going? I'm sorry that people are going to just disappear from the cloud and come back. Kind of talking about cloud in general and you deal with multiple clouds were packed. Business is really around that scale that that that whole you know, Well, could nutanix be that move game? I mean, that's where the innovation is. look and they talk to you know, I tell you, you know, my community got all excited when Michael got up on stage and said, I only see the public cloud getting stronger because the scales they're the economics cannot be ignored. I want to see it first, you know, Show me. I mean the David, you know? I mean, look at the amount of money we heard from Google last month. They're the future has redefined not how you got here, how you move forward. It's just a matter of time before you see that one happening. And I didn't hear the word choice. Thanks for the analysis.

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VMworld Day 1 General Session | VMworld 2018


 

For Las Vegas, it's the cube covering vm world 2018, brought to you by vm ware and its ecosystem partners. Ladies and gentlemen, Vm ware would like to thank it's global diamond sponsors and it's platinum sponsors for vm world 2018 with over 125,000 members globally. The vm ware User Group connects via vmware customers, partners and employees to vm ware, information resources, knowledge sharing, and networking. To learn more, visit the [inaudible] booth in the solutions exchange or the hemoglobin gene vm village become a part of the community today. This presentation includes forward looking statements that are subject to risks and uncertainties. Actual results may differ materially as a result of various risk factors including those described in the 10 k's 10 q's and k's vm ware. Files with the SEC. Ladies and Gentlemen, please welcome Pat Gelsinger. Welcome to vm world. Good morning. Let's try that again. Good morning and I'll just say it is great to be here with you today. I'm excited about the sixth year of being CEO. When it was on this stage six years ago were Paul Maritz handed me the clicker and that's the last he was seen. We have 20,000 plus here on site in Vegas and uh, you know, on behalf of everyone at Vm ware, you know, we're just thrilled that you would be with us and it's a joy and a thrill to be able to lead such a community. We have a lot to share with you today and we really think about it as a community. You know, it's my 23,000 plus employees, the souls that I'm responsible for, but it's our partners, the thousands and we kicked off our partner day yesterday, but most importantly, the vm ware community is centered on you. You know, we're very aware of this event would be nothing without you and our community and the role that we play at vm wares to build these cool breakthrough innovations that enable you to do incredible things. You're the ones who take our stuff and do amazing things. You altogether. We have truly changed the world over the last two decades and it is two decades. You know, it's our anniversary in 1998, the five people that started a vm ware, right. You know, it was, it was exactly 20 years ago and we're just thrilled and I was thinking about this over the weekend and it struck me, you know, anniversary, that's like old people, you know, we're here, we're having our birthday and it's a party, right? We can't have a drink yet, but next year. Yeah. We're 20 years old. Right. We can do that now. And I'll just say the culture of this community is something that truly is amazing and in my 38 years, 38 years in tech, that sort of sounds like I'm getting old or something, but the passion, the loyalty, almost a cult like behavior that we see in this team of people to us is simply thrilling. And you know, we put together a little video to sort of summarize the 20 years and some of that history and some of the unique and quirky aspects of our culture. Let's watch that now. We knew we had something unique and then we demonstrated that what was unique was also some reasons that we love vm ware, you know, like the community out there. So great. The technology I love it. Ware is solid and much needed. Literally. I do love Vmr. It's awesome. Super Awesome. Pardon? There's always someone that wants to listen and learn from us and we've learned so much from them as well. And we reached out to vm ware to help us start building. What's that future world look like? Since we're doing really cutting edge stuff, there's really no better people to call and Bmr has been known for continuous innovation. There's no better way to learn how to do new things in it than being with a company that's at the forefront of technology. What do you think? Don't you love that commitment? Hey Ashley, you know, but in the prep sessions for this, I thought, boy, what can I do to take my commitment to the next level? And uh, so, uh, you know, coming in a couple days early, I went to down the street to bad ass tattoo. So it's time for all of us to take our commitment up level and sometimes what happens in Vegas, you take home. Thank you. Vm Ware has had this unique role in the industry over these 20 years, you know, and for that we've seen just incredible things that have happened over this period of time and it's truly extraordinary what we've accomplished together. And you know, as we think back, you know, what vm ware has uniquely been able to do is I'll say bridge across know and we've seen time and again that we see these areas of innovation emerging and rapidly move forward. But then as they become utilized by our customers, they create this natural tension of what business wants us flexibility to use across these silos of innovation. And from the start of our history, we have collectively had this uncanny ability to bridge across these cycles of innovation. You know, an act one was clearly the server generation. You know, it may seem a little bit, uh, ancient memory now, but you remember you used to walk into your data center and it looked like the loove the museum of it passed right? You know, and you had your old p series and your z series in your sparks and your pas and your x86 cluster and Yo, it had to decide, well, which architecture or am I going to deploy and run this on? And we bridged across and that was the magic of Esx. You don't want to just changed the industry when that occurred. And I sort of called the early days of Esx and vsphere. It was like the intelligence test. If you weren't using it, you fail because Yup. Servers, 10 servers become one months, become minutes. I still have people today who come up to me and they reflect on their first experience of vsphere or be motion and it was like a holy moment in their life and in their careers. Amazing and act to the Byo d, You know, can we bridge across these devices and users wanted to be able to come in and say, I have my device and I'm productive on it. I don't want to be forced to use the corporate standard. And maybe more than anything was the power of the iphone that was introduced, the two, seven, and suddenly every employee said this is exciting and compelling. I want to use it so I can be more productive when I'm here. Bye. Jody was the rage and again it was a tough challenge and once again vm ware helped to bridge across the surmountable challenge. And clearly our workspace one community today is clearly bridging across these silos and not just about managing devices but truly enabling employee engagement and productivity. Maybe act three was the network and you know, we think about the network, you know, for 30 years we were bound to this physical view of what the network would be an in that network. We are bound to specific protocols. We had to wait months for network upgrades and firewall rules. Once every two weeks we'd upgrade them. If you had a new application that needed a firewall rule, sorry, you know, come back next month we'll put, you know, deep frustration among developers and ceos. Everyone was ready to break the chains. And that's exactly what we did. An NSX and Nice Sierra. The day we acquired it, Cisco stock drops and the industry realizes the networking has changed in a fundamental way. It will never be the same again. Maybe act for was this idea of cloud migration. And if we were here three years ago, it was student body, right to the public cloud. Everything is going there. And I remember I was meeting with a cio of federal cio and he comes up to me and he says, I tried for the last two years to replatform my 200 applications I got to done, you know, and all of a sudden that was this. How do I do cloud migration and the effective and powerful way. Once again, we bridged across, we brought these two worlds together and eliminated this, uh, you know, this gap between private and public cloud. And we'll talk a lot more about that today. You know, maybe our next act is what we'll call the multicloud era. You know, because today in a recent survey by Deloitte said that the average business today is using eight public clouds and expected to become 10 plus public clouds. And you know, as you're managing different tools, different teams, different architectures, those solution, how do you, again bridge across, and this is what we will do in the multicloud era, we will help our community to bridge across and take advantage of these powerful cycles of innovation that are going on, but be able to use them across a consistent infrastructure and operational environment. And we'll have a lot more to talk about on this topic today. You know, and maybe the last item to bridge across maybe the most important, you know, people who are profit. You know, too often we think about this as an either or question. And as a business leader, I'm are worried about the people or the And Milton Friedman probably set us up for this issue decades ago when he said, planet, right? the sole purpose of a business is to make profits. You want to create a multi-decade dilemma, right? For business leaders, could I have both people and profits? Could I do well and do good? And particularly for technology, I think we don't have a choice to think about these separately. We are permeating every aspect of business. And Society, we have the responsibility to do both and have all the things that vm ware has accomplished. I think this might be the one that I'm most proud of over, you know, w we have demonstrated by vsphere and the hypervisor alone that we have saved over 540 million tons of co two emissions. That is what you have done. Can you believe that? Five hundred 40 million tons is enough to have 68 percent of all households for a year. Wow. Thank you for what you have done. Thank you. Or another translation of that. Is that safe enough to drive a trillion miles and the average car or you could go to and from Jupiter just in case that was in your itinerary a thousand times. Right? He was just incredible. What we have done and as a result of that, and I'll say we were thrilled to accept this recognition on behalf of you and what you have done. You know, vm were recognized as number 17 in the fortune. Change the world list last week. And we really view it as accepting this honor on behalf of what you have done with our products and technology tech as a force for good. We believe that fundamentally that is our opportunity, if not our obligation, you know, fundamentally tech is neutral, you know, we together must shape it for good. You know, the printing press by Gutenberg in 1440, right? It was used to create mass education and learning materials also can be used for extremist propaganda. The technology itself is neutral. Our ecosystem has a critical role to play in shaping technology as a force for good. You know, and as we think about that tomorrow, we'll have a opportunity to have a very special guest and I really encourage you to be here, be on time tomorrow morning on the stage and you know, Sanjay's a session, we'll have Malala, Nobel Peace Prize winner and fourth will be a bit of extra security as you come in and you understand that. And I just encourage you not to be late because we see this tech being a force for good in everything that we do at vm ware. And I hope you'll enjoy, I'm quite looking forward to the session tomorrow. Now as we think about the future. I like to put it in this context, the superpowers of tech know and you know, 38 years in the industry, you know, I am so excited because I think everything that we've done over the last four decades is creating a foundation that allows us to do more and go faster together. We're unlocking game, changing opportunities that have not been available to any people in the history of humanity. And we have these opportunities now and I, and I think about these four cloud, you have unimaginable scale. You'll literally with your Amex card, you can go rent, you know, 10,000 cores for $100 per hour. Or if you have Michael's am ex card, we can rent a million cores for $10,000 an hour. Thanks Michael. But we also know that we're in many ways just getting started and we have tremendous issues to bridge across and compatible clouds, mobile unprecedented scale. Literally, your application can reach half the humans on the planet today. But we also know that five percent, the lowest five percent of humanity or the other half of humanity, they're still in the lower income brackets, less than five percent penetrated. And we know that we have customer examples that are using mobile phones to raise impoverished farmers in Africa, out of poverty just by having a smart phone with proper crop, the information field and whether a guidance that one tool alone lifting them out of poverty. Ai knows, you know, I really love the topic of ai in 1986. I'm the chief architect of the 80 46. Some of you remember what that was. Yeah, I, you know, you're, you're my folk, right? Right. And for those of you who don't, it was a real important chip at the time. And my marketing manager comes running into my office and he says, Pat, pat, we must make the 46 a great ai chip. This is 1986. What happened? Nothing an AI is today, a 30 year overnight success because the algorithms, the data have gotten so much bigger that we can produce results, that we can bring intelligence to everything. And we're seeing dramatic breakthroughs in areas like healthcare, radiology, you know, new drugs, diagnosis tools, and designer treatments. We're just scratching the surface, but ai has so many gaps, yet we don't even in many cases know why it works. Right? And we'll call that explainable ai and edge and Iot. We're connecting the physical and the digital worlds was never before possible. We're bridging technology into every dimension of human progress. And today we're largely hooking up things, right? We have so much to do yet to make them intelligent. Network secured, automated, the patch, bringing world class it to Iot, but it's not just that these are super powers. We really see that each and each one of them is a super power in and have their own right, but they're making each other more powerful as well. Cloud enables mobile conductivity. Mobile creates more data, more data makes the AI better. Ai Enables more edge use cases and more edge requires more cloud to store the data and do the computing right? They're reinforcing each other. And with that, we know that we are speeding up and these superpowers are reshaping every aspect of society from healthcare to education, the transportation, financial institutions. This is how it all comes together. Now, just a simple example, how many of you have ever worn a hardhat? Yeah, Yo. Pretty boring thing. And it has one purpose, right? You know, keep things from smacking me in the here's the modern hardhat. It's a complete heads up display with ar head. Well, vr capabilities that give the worker safety or workers or factory workers or supply people the ability to see through walls to understand what's going on inside of the equipment. I always wondered when I was a kid to have x Ray Vision, you know, some of my thoughts weren't good about why I wanted it, but you know, I wanted to. Well now you can have it, you know, but imagine in this environment, the complex application that sits behind it. You know, you're accessing maybe 50 year old building plants, right? You're accessing HVAC systems, but modern ar and vr capabilities and new containerized displays. You'll think about that application. You know, John Gage famously said the network is the computer pat today says the application is now a network and pretty typically a complicated one, you know, and this is the vm ware vision is to make that kind of environment realizable in every aspect of our business and community and we simply have been on this journey, any device, any application, any cloud with intrinsic security. And this vision has been consistent for those of you who have been joining us for a number of years. You've seen this picture, but it's been slowly evolving as we've worked in piece by piece to refine and extend this vision, you know, and for it, we're going to walk through and use this as the compass for our discussion today as we walk through our conversation. And you know, we're going to start by a focus on any cloud. And as we think about this cloud topic, you know, we see it as a multicloud world hybrid cloud, public cloud, but increasingly seeing edge and telco becoming clouds in and have their own right. And we're not gonna spend time on it today, but this area of Telco to the is an enormous opportunity for us in our community. You know, data centers and cloud today are over 80 percent virtualized. The Telco network is less than 10 percent virtualized. Wow. An industry that's almost as big as our industry entirely unvirtualized, although the technologies we've created here can be applied over here and Telco and we have an enormous buildout coming with five g and environments emerging. What an opportunity for us, a virgin market right next to us and we're getting some early mega winds in this area using the technologies that you have helped us cure rate than the So we're quite excited about this topic area as well. market. So let's look at this full view of the multicloud. Any cloud journey. And we see that businesses are on a multicloud journey, you know, and today we see this fundamentally in these two paths, a hybrid cloud and a public cloud. And these paths are complimentary and coexisting, but today, each is being driven by unique requirements and unique teams. Largely the hybrid cloud is being driven by it. And operations, the public cloud being driven more by developers and line of business requirements and as some multicloud environment. So how do we deliver upon that and for that, let's start by digging in on the hybrid cloud aspect of this and as we think about the hybrid cloud, we've been talking about this subject for a number of years and I want to give a very specific and crisp definition. You're the hybrid cloud is the public cloud and the private cloud cooperating with consistent infrastructure and consistent operations simply put seamless path to and from the cloud that my workloads don't care if it's here or there. I'm able to run them in a agile, scalable, flexible, efficient manner across those two environments, whether it's my data center or someone else's, I can bring them together to make that work is the magic of the Vm ware Cloud Foundation. The vm ware Cloud Foundation brings together computer vsphere and the core of why we are here, but combines with that networking storage delivered through a layer of management and automation. The rule of the cloud is ruthlessly automate everything. We laid out this vision of the software defined data center seven years ago and we've been steadfastly working on this vision and vm ware. Cloud Foundation provides this consistent infrastructure and operations with integrated lifecycle management automation. Patching the m ware cloud foundation is the simplest path to the hybrid cloud and the fastest way to get vm ware cloud foundation is hyperconverged infrastructure, you know, and with this we've combined integrated then validated hardware and as a building block inside of this we have validated hardware, the v Sand ready environments. We have integrated appliances and cloud delivered infrastructure, three ways that we deliver that integrate integrated hyperconverged infrastructure solution. And we have by far the broadest ecosystem of partners to do it. A broad set of the sand ready nodes from essentially everybody in the industry. Secondly, we have integrated appliances, the extract of vxrail that we have co engineered with our partners at Dell technology and today in fact Dell is releasing the power edge servers, a major step in blade servers that again are going to be powering vxrail and vxrack systems and we deliver hyperconverged infrastructure through a broader set of Vm ware cloud partners as well. At the heart of the hyperconverged infrastructure is v San and simply put, you know, be San has been the engine that's just been moving rapidly to take over the entire integration of compute and storage and expand to more and more areas. We have incredible momentum over 15,000 customers for v San Today and for those of you who joined us, we say thank you for what you have done with this product today. Really amazing you with 50 percent of the global 2000 using it know vm ware. V San Vxrail are clearly becoming the standard for how hyperconverge is done in the industry. Our cloud partner programs over 500 cloud partners are using ulv sand in their solution, you know, and finally the largest in Hci software revenue. Simply put the sand is the software defined storage technology of choice for the industry and we're seeing that customers are putting this to work in amazing ways. Vm Ware and Dell technologies believe in tech as a force for good and that it can have a major impact on the quality of life for every human on the planet and particularly for the most underdeveloped parts of the world. Those that live on less than $2 per day. In fact that this moment 5 billion people worldwide do not have access to modern affordable surgery. Mercy ships is working hard to change the global surgery crisis with greater than 400 volunteers. Mercy ships operates the largest NGO hospital ship delivering free medical care to the poorest of the poor in Africa. Let's see from them now. When the ship shows up to port, literally people line up for days to receive state of the art life, sane changing life saving surgeries, tumor site limbs, disease blindness, birth defects, but not only that, the personnel are educating and training the local healthcare providers with new skills and infrastructure so they can care for their own. After the ship has left, mercy ships runs on Vm ware, a dell technology with VX rail, Dell Isilon data protection. We are the it platform for mercy ships. Mercy ships is now building their next generation ship called global mercy, which were more than double. It's lifesaving capacity. It's the largest charity hospital ever. It will go live in 20 slash 20 serving Africa and I personally plan on being there for its launch. It is truly amazing what they are doing with our technology. Thanks. So we see this picture of the hybrid cloud. We've talked about how we do that for the private cloud. So let's look over at the public cloud and let's dig into this a little bit more deeply. You know, we're taking this incredible power of the Vm ware Cloud Foundation and making it available for the leading cloud providers in the world and with that, the partnership that we announced almost two years ago with Amazon and on the stage last year, we announced their first generation of products, no better example of the hybrid cloud. And for that it's my pleasure to bring to stage my friend, my partner, the CEO of aws. Please welcome Andy Jassy. Thank you andy. You know, you honor us with your presence, you know, and it really is a pleasure to be able to come in front of this audience and talk about what our teams have accomplished together over the last, uh, year. Yo, can you give us some perspective on that, Andy and what customers are doing with it? Well, first of all, thanks for having me. I really appreciate it. It's great to be here with all of you. Uh, you know, the offering that we have together customers because it allows them to use the same software they've been using to again, where cloud and aws is very appealing to manage their infrastructure for years to be able to deploy it an aws and we see a lot of customer momentum and a lot of customers using it. You see it in every imaginable vertical business segment in transportation. You see it with stagecoach and media and entertainment. You see it with discovery communications in education, Mit and Caltech and consulting and accenture and cognizant and dxc you see in every imaginable vertical business segment and the number of customers using the offering is doubling every quarter. So people were really excited about it and I think that probably the number one use case we see so far, although there are a lot of them, is customers who are looking to migrate on premises applications to the cloud. And a good example of that is mit. We're there right now in the process of migrating. In fact, they just did migrate 3000 vms from their data centers to Vm ware cloud native us. And this would have taken years before to do in the past, but they did it in just three months. It was really spectacular and they're just a fun company to work with and the team there. But we're also seeing other use cases as well. And you're probably the second most common example is we'll say on demand capabilities for things like disaster recovery. We have great examples of customers you that one in particular, his brakes, right? Urban in those. The brings security trucks and they all armored trucks coming by and they had a critical need to retire a secondary data center that they were using, you know, for Dr. so we quickly built to Dr Protection Environment for $600. Bdms know they migrated their mission critical workloads and Wallah stable and consistent Dr and now they're eliminating that site and looking for other migrations as well. The rate of 10 to 15 percent. It was just a great deal. One of the things I believe Andy, he'll customers should never spend capital, uh, Dr ever again with this kind of capability in place. That is just that game changing, you know, and you know, obviously we've been working on expanding our reach, you know, we promised to make the service available a year ago with the global footprint of Amazon and now we've delivered on that promise and in fact today or yesterday if you're an ozzie right down under, we announced in Sydney, uh, as well. And uh, now we're in US Europe and in APJ. Yeah. It's really, I mean it's very exciting. Of course Australia is one of the most virtualized places in the world and, and it's pretty remarkable how fast European customers have started using the offering to and just the quarter that's been out there and probably have the many requests customers has had. And you've had a, probably the number one request has been that we make the offering available in all the regions. The aws has regions and I can tell you by the end of 2019 will largely be there including with golf clubs and golf clap. You guys have been, that's been huge for you guys. Yeah. It's a government only region that we have that a lot of federal government workloads live in and we are pretty close together having the offering a fedramp authority to operate, which is a big deal on a game changer for governments because then there'll be able to use the familiar tools they use and vm ware not just to run their workloads on premises but also in the cloud as well with the data privacy requirements, security requirements they need. So it's a real game changer for government too. Yeah. And this you can see by the picture here basically before the end of next year, everywhere that you are and have an availability zone. We're going to be there running on data. Yup. Yeah. Let's get with it. Okay. We're a team go faster. Okay. You'll and you know, it's not just making it available, but this pace of innovation and you know, you guys have really taught us a few things in this respect and since we went live in the Oregon region, you know, we've been on a quarterly cadence of major releases and two was really about mission critical at scale and we added our second region. We added our hybrid cloud extension with m three. We moved the global rollout and we launched in Europe with m four. We really add a lot of these mission critical governance aspects started to attack all of the industry certifications and today we're announcing and five right. And uh, you know, with that, uh, I think we have this little cool thing you know, two of the most important priorities for that we're doing with ebs and storage. Yeah, we'll take, customers, our cost and performance. And so we have a couple of things to talk about today that we're bringing to you that I think hit both of those on a storage side. We've combined the elasticity of Amazon Elastic Block store or ebs with ware is Va v San and we've provided now a storage option that you'll be able to use that as much. It's very high capacity and much more cost effective and you'll start to see this initially on the Vm ware cloud. Native us are five instances which are compute instances, their memory optimized and so this will change the cost equation. You'll be able to use ebs by default and it'll be much more cost effective for storage or memory intensive workloads. Um, it's something that you guys have asked for. It's been very frequently requested it, it hits preview today. And then the other thing is that we've worked really hard together to integrate vm ware's Nsx along with aws direct neck to have a private even higher performance conductivity between on premises and the cloud. So very, very exciting new capabilities to show deep integration between the companies. Yeah. You know, in that aspect of the deep integration. So it's really been the thing that we committed to, you know, we have large engineering teams that are working literally every day. Right on bringing together and how do we fuse these platforms together at a deep and intimate way so that we can deliver new services just like elastic drs and the c and ebs really powerful, uh, capabilities and that pace of innovation continue. So next maybe. Um, maybe six. I don't know. We'll see. All right. You know, but we're continuing this toward pace of innovation, you know, completing all of the capabilities of Nsx. You'll full integration for all of the direct connect to capabilities. Really expanding that. You're only improving licensed capabilities on the platform. We'll be adding pks on top of for expanded developer a capabilities. So just. Oh, thank you. I, I think that was formerly known as Right, and y'all were continuing this pace of storage Chad. So anyway. innovation going forward, but I think we also have a few other things to talk about today. Andy. Yeah, I think we have some news that hopefully people here will be pretty excited about. We know we have a pretty big database business and aws and it's. It's both on the relational and on the nonrelational side and the business is billions of dollars in revenue for us and on the relational side. We have a service called Amazon relational database service or Amazon rds that we have hundreds of thousands of customers using because it makes it much easier for them to set up, operate and scale their databases and so many companies now are operating in hybrid mode and will be for a while and a lot of those customers have asked us, can you give us the ease of manageability of those databases but on premises. And so we talked about it and we thought about and we work with our partners at Vm ware and I'm excited to announce today, right now Amazon rds on Vm ware and so that will bring all the capabilities of Amazon rds to vm ware's customers for their on premises environments. And so what you'll be able to do is you'll be able to provision databases. You'll be able to scale the compute or the memory or the storage for those database instances. You'll be able to patch the operating system or database engines. You'll be able to create, read replicas to scale your database reads and you can deploy this rep because either on premises or an aws, you'll be able to deploy and high high availability configuration by replicating the data to different vm ware clusters. You'll be able to create online backups that either live on premises or an aws and then you'll be able to take all those databases and if you eventually want to move them to aws, you'll be able to do so rather easily. You have a pretty smooth path. This is going to be available in a few months. It will be available on Oracle sql server, sql postgresql and Maria DB. I think it's very exciting for our customers and I think it's also a good example of where we're continuing to deepen the partnership and listen to what customers want and then innovate on their behalf. Absolutely. Thank you andy. It is thrilling to see this and as we said, when we began the partnership, it was a deep integration of our offerings and our go to market, but also building this bi-directional hybrid highway to give customers the capabilities where they wanted cloud on premise, on premise to the cloud. It really is a unique partnership that we've built, the momentum we're feeling to our customer base and the cool innovations that we're doing. Andy, thank you so much for you Jordan Young, rural 20th. You guys appreciate it. Yeah, we really have just seen incredible momentum and as you might have heard from our earnings call that we just finished this. We finished the last quarter. We just really saw customer momentum here. Accelerating. Really exciting to see how customers are starting to really do the hybrid cloud at scale and with this we're just seeing that this vm ware cloud foundation available on Amazon available on premise. Very powerful, but it's not just the partnership with Amazon. We are thrilled to see the momentum of our Vm ware cloud provider program and this idea of the vm ware cloud providers has continued to gain momentum in the industry and go over five years. Right. This program has now accumulated more than 4,200 cloud partners in over 120 countries around the globe. It gives you choice, your local provider specialty offerings, some of your local trusted partners that you would have in giving you the greatest flexibility to choose from and cloud providers that meet your unique business requirements. And we launched last year a program called Vm ware cloud verified and this was saying you're the most complete embodiment of the Vm ware Cloud Foundation offering by our cloud partners in this program and this logo you know, allows you to that this provider has achieved the highest standard for cloud infrastructure and that you can scale and deliver your hybrid cloud and partnering with them. It know a particular. We've been thrilled to see the momentum that we've had with IBM as a huge partner and our business with them has grown extraordinarily rapidly and triple digits, but not just the customer count, which is now over 1700, but also in the depth of customers moving large portions of the workload. And as you see by the picture, we're very proud of the scope of our partnerships in a global basis. The highest standard of hybrid cloud for you, the Vm ware cloud verified partners. Now when we come back to this picture, you know we, you know, we're, we're growing in our definition of what the hybrid cloud means and through Vm Ware Cloud Foundation, we've been able to unify the private and the public cloud together as never before, but we're also seeing that many of you are interested in how do I extend that infrastructure further and farther and will simply call that the edge right? And how do we move data closer to where? How do we move data center resources and capacity closer to where the data's being generated at the operations need to be performed? Simply the edge and we'll dig into that a little bit more, but as we do that, what are the things that we offer today with what we just talked about with Amazon and our VCP p partners is that they can consume as a service this full vm ware Cloud Foundation, but today we're only offering that in the public cloud until project dimension of project dimension allows us to extend delivered as a service, private, public, and to the edge. Today we're announcing the tech preview, a project dimension Vm ware cloud foundation in a hyperconverged appliance. We're partnered deeply with Dell EMC, Lenovo for the first partners to bring this to the marketplace, built on that same proven infrastructure, a hybrid cloud control plane, so literally just like we're managing the Vm ware cloud today, we're able to do that for your on premise. You're small or remote office or your edge infrastructure through that exact same as a service management and control plane, a complete vm ware operated end to end environment. This is project dimension. Taking the vcf stack, the full vm ware cloud foundation stack, making an available in the cloud to the edge and on premise as well, a powerful solution operated by BM ware. This project dimension and project dimension allows us to have a fundamental building block in our approach to making customers even more agile, flexible, scalable, and a key component of our strategy as well. So let's click into that edge a little bit more and we think about the edge in the following layers, the compute edge, how do we get the data and operations and applications closer to where they need to be. If you remember last year I talked about this pendulum swinging of centralization and decentralization edge is a decentralization force. We're also excited that we're moving the edge of the devices as well and we're doing that in two ways. One with workspace, one for human optimized devices and the second is project pulse or Vm ware pulse. And today we're announcing pulse two point zero where you can consume it now as a service as well as with integrated security. And we've now scaled pulse to support 500 million devices. Isn't that incredible, right? I mean this is getting a scale. Billions and billions and finally networking is a key component. You all that. We're stretching the networking platform, right? And evolving how that edge operates in a more cloud and that's a service white and this is where Nsx St with Velo cloud is such a key component of delivering the edge of network services as well. Taken together the device side, the compute edge and rethinking and evolving the networking layer together is the vm ware edge strategy summary. We see businesses are on this multicloud journey, right? How do we then do that for their private of public coming together, the hybrid cloud, but they're also on a journey for how they work and operate it across the public cloud and the public cloud we have this torrid innovation, you'll want Andy's here, challenges. You know, he's announcing 1500 new services or were extraordinary innovation and you'll same for azure or Google Ibm cloud, but it also creates the same complexity as we said. Businesses are using multiple public clouds and how do I operate them? How do I make them work? You know, how do I keep track of my accounts and users that creates a set of cloud operations problems as well in the complexity of doing that. How do you make it work? Right? And your for that. We'll just see that there's this idea cloud cost compliance, analytics as these common themes that of, you know, keep coming up and we're seeing in our customers that are new role is emerging. The cloud operations role. You're the person who's figuring out how to make these multicloud environments work and keep track of who's using what and which data is landing where today I'm thrilled to tell you that the, um, where is acquiring the leader in this space? Cloudhealth technologies. Thank you. Cloudhealth technologies supports today, Amazon, azure and Google. They have some 3,500 customers, some of the largest and most respected brands in the, as a service industry. And Sasa business today rapidly span expanding feature sets. We will take cloudhealth and we're going to make it a fundamental platform and branded offering from the um, where we will add many of the other vm ware components into this platform, such as our wavefront analytics, our cloud, choreo compliance, and many of the other vm ware products will become part of the cloudhealth suite of services. We will be enabling that through our enterprise channels as well as through our MSP and BCPP partners as well know. Simply put, we will make cloudhealth the cloud operations platform of choice for the industry. I'm thrilled today to have Joe Consella, the CTO and founder. Joe, please stand up. Thank you joe to your team of a couple hundred, you know, mostly in Boston. Welcome to the Vm ware family, the Vm ware community. It is a thrill to have you part of our team. Thank you joe. Thank you. We're also announcing today, and you can think of this, much like we had v realize operations and v realize automation, the compliment to the cloudhealth operations, vm ware, cloud automation, and some of you might've heard of this in the past, this project tango. Well, today we're announcing the initial availability of Vm ware, cloud automation, assemble, manage complex applications, automate their provisioning and cloud services, and manage them through a brokerage the initial availability of cloud automation services, service. Your today, the acquisition of cloudhealth as a platform, the aware of the most complete set of multicloud management tools in the industry, and we're going to do so much more so we've seen this picture of this multicloud journey that our customers are on and you know, we're working hard to say we are going to bridge across these worlds of innovation, the multicloud world. We're doing many other things. You're gonna hear a lot at the show today about this year. We're also giving the tech preview of the Vm ware cloud marketplace for our partners and customers. Also today, Dell technologies is announcing their cloud marketplace to provide a self service, a portfolio of a Dell emc technologies. We're fundamentally in a unique position to accelerate your multicloud journey. So we've built out this any cloud piece, but right in the middle of that any cloud is the network. And when we think about the network, we're just so excited about what we have done and what we're seeing in the industry. So let's click into this a little bit further. We've gotten a lot done over the last five years. Networking. Look at these numbers. 80 million switch ports have been shipped. We are now 10 x larger than number two and software defined networking. We have over 7,500 customers running on Nsx and maybe the stat that I'm most proud of is 82 percent of the fortune 100 has now adopted nsx. You have made nsx these standard and software defined networking. Thank you very much. Thank you. When we think about this journey that we're on, we started. You're saying, Hey, we've got to break the chains inside of the data center as we said. And then Nsx became the software defined networking platform. We started to do it through our cloud provider partners. Ibm made a huge commitment to partner with us and deliver this to their customers. We then said, boy, we're going to make a fundamental to all of our cloud services including aws. We built this bridge called the hybrid cloud extension. We said we're going to build it natively into what we're doing with Telcos, with Azure and Amazon as a service. We acquired the St Wagon, right, and a Velo cloud at the hottest product of Vm ware's portfolio today. The opportunity to fundamentally transform branch and wide area networking and we're extending it to the edge. You're literally, the world has become this complex network. We have seen the world go from the old defined by rigid boundaries, simply put in a distributed world. Hardware cannot possibly work. We're empowering customers to secure their applications and the data regardless of where they sit and when we think of the virtual cloud network, we say it's these three fundamental things, a cloud centric networking fabric with intrinsic security and all of it delivered in software. The world is moving from data centers to centers of data and they need to be connected and Nsx is the way that we will do that. So you'll be aware of is well known for this idea of talking but also showing. So no vm world keynote is okay without great demonstrations of it because you shouldn't believe me only what we can actually show and to do that know I'm going to have our CTL come onstage and CTL y'all. I used to be a cto and the CTO is the certified smart guy. He's also known as the chief talking officer and today he's my demo partner. Please walk, um, Vm ware, cto ray to the stage. Right morning pat. How you doing? Oh, it's great ray, and thanks so much for joining us. Know I promised that we're going to show off some pretty cool stuff here. We've covered a lot already, but are you up to the task? We're going to try and run through a lot of demos. We're going to do it fast and you're going to have to keep me on time to ask an awkward question. Slow me down. Okay. That's my fault if you run along. Okay, I got it. I got it. Let's jump right in here. So I'm a CTO. I get to meet lots of customers that. A few weeks ago I met a cio of a large distribution company and she described her it infrastructure as consisting of a number of data centers troll to us, which he also spoke of a large number of warehouses globally, and each of these had local hyperconverged compute and storage, primarily running surveillance and warehouse management applications, and she pulls me four questions. The first question she asked me, she says, how do I migrate one of these data centers to Vm ware cloud on aws? I want to get out of one of these data centers. Okay. Sounds like something andy and I were just talking exactly, exactly what you just spoke to a few moments ago. She also wanted to simplify the management of the infrastructure in the warehouse as themselves. Okay. He's age and smaller data centers that you've had out there. Her application at the warehouses that needed to run locally, butter developers wanted to develop using cloud infrastructure. Cloud API is a little bit late. The rds we spoken with her in. Her final question was looking to the future, make all this complicated management go away. I want to be able to focus on my application, so that's what my business is about. So give me some new ways of how to automate all of this infrastructure from the edge to the cloud. Sounds pretty clear. Can we do it? Yes we can. So we're going to dive right in right now into one of these demos. And the first demo we're going to look at it is vm ware cloud on aws. This is the best solution for accelerating this public cloud journey. So can we start the demo please? So what you were looking at here is one of those data centers and you should be familiar with this product. It's a familiar vsphere client. You see it's got a bunch of virtual machines running in there. These are the virtual machines that we now want to be able to migrate and move the VMC on aws. So we're going to go through that migration right now. And to do that we use a product that you've seen already atx, however it's the x has been, has got some new cool features since the last time we download it. Probably on this stage here last year, I wanted those in particular is how do we do bulk migration and there's a new cool thing, right? Whole thing we want to move the data center en mass and his concept here is cloud motion with vsphere replication. What this does is it replicates the underlying storage of the virtual machines using vsphere replication. So if and when you want to now do the final migration, it actually becomes a vmotion. So this is what you see going on right here. The replication is in place. Now when you want to touch you move those virtual machines. What you'll do is a vmotion and the key thing to think about here is this is an actual vmotion. Those the ends as room as they're moving a hustler, migrating remained life just as you would in a v motion across one particular infrastructure. Did you feel complete application or data center migration with no dying town? It's a Standard v motion kind of appearance. Wow. That is really impressive. That's correct. Wow. You. So one of the other things we want to talk about here is as we are moving these virtual machines from the on prem infrastructure to the VMC on aws infrastructure, unfortunately when we set up the cloud on VMC and aws, we only set up for hosts, uh, that might not be, that'd be enough because she is going to move the whole infrastructure of that this was something you guys, you and Andy referred to briefly data center. Now, earlier, this concept of elastic drs. what elastic drs does, it allows the VMC on aws to react to the workloads as they're being created and pulled in onto that infrastructure and automatically pull in new hosts into the VMC infrastructure along the way. So what you're seeing here is essentially the MC growing the infrastructure to meet the needs of the workloads themselves. Very cool. So overseeing that elastic drs. we also see the ebs capabilities as well. Again, you guys spoke about this too. This is the ability to be able to take the huge amount of stories that Amazon have, an ebs and then front that by visa you get the same experience of v Sign, but you get this enormous amount of storage capabilities behind it. Wow. That's incredible. That's incredible. I'm excited about this. This is going to enable customers to migrate faster and larger than ever before. Correct. Now she had a series of little questions. Okay. The second question was around what about all those data centers and those age applications that I did not move, and this is where we introduce the project which you've heard of already tonight called project dementia. What this does, it gives you the simplicity of Vm ware cloud, but bringing that out to the age, you know what's basically going on here, vmc on aws is a service which manages your infrastructure in aws. We know stretch that service out into your infrastructure, in your data center and at the age, allowing us to be able to manage that infrastructure in the same way. Once again, let's dive down into a demo and take a look at what this looks like. So what you've got here is a familiar series of services available to you, one of them, which is project dimension. When you enter project dimension, you first get a view of all of the different infrastructure that you have available to you, your data centers, your edge locations. You can then dive deeply into one of these to get a closer look at what's going on here. We're diving into one of these The problem is there's a networking problem going on in this warehouse. warehouses and we see it as a problem here. How do we know? We know because vm ware is running this as a managed service. We are directly managing or sorry, monitoring your infrastructure or we discover there's something going wrong here. We automatically create the ASR, so somebody is dealing with this. You have visibility to what's going on, but the vm ware managed service is already chasing the problem for you. Oh, very good. So now we're seeing this dispersed infrastructure with project dementia, but what's running on it so well before we get with running out, you've got another problem and the problem is of course, if you're managing a lot of infrastructure like this, you need to keep it up to date. And so once again, this is where the vm ware managed service kicks in. We manage that infrastructure in terms of patching it and updating it for you. And as an example, when we released a security patch, here's one for the recent l, one terminal fault, the Vmr managed service is already on that and making sure that your on prem and edge infrastructure is up to date. Very good. Now, what's running? Okay. So what's running, uh, so we mentioned this case of this software running at the edge infrastructure itself, and these are workloads which are running locally in those age, uh, those edge locations. This is a surveillance application. You can see it here at the bottom it says warehouse safety monitor. So this is an application which gathers images and then stores those images He said my sql database on top there, now this is where we leverage the somewhere and it puts them in a database. technology you just learned about when Andy and pat spoke about disability to take rds and run that on your on prem infrastructure. The block of virtual machines in the moment are the rds components from Amazon running in your infrastructure or in your edge location, and this gives you the ability to allow your developers to be able to leverage and operate against those Apis, but now the actual database, the infrastructure is running on prem and you might be doing just for performance reasons because of latency, you might be doing it simply because this data center is not always connected to the cloud. When you take a look into under the hood and see what's going on here, what you actually see this is vsphere, a modified version of vsphere. You see this new concept of my custom availability zone. That is the availability zone running on your infrastructure which supports or ds. What's more interesting is you flip back to the Amazon portal. This is typically what your developers are going to do. Once again, you see an availability zone in your Amazon portal. This is the availability zone running on your equipment in your data center. So we've truly taken that already as infrastructure and moved it to the edge so the developer sees what they're comfortable with and the infrastructure sees what they're comfortable with bridging those two worlds. Fabulous. Right. So the final question of course that we got here was what's next? How do I begin to look to the future and say I am going to, I want to be able to see all of my infrastructure just handled in an automated fashion. And so when you think about that, one of the questions there is how do we leverage new technologies such as ai and ml to do that? So what you've got here is, sorry we've got a little bit later. What you've got here is how do I blend ai in a male and the power of what's in the data center itself. Okay. And we could do that. We're bringing you the AI and ml, right? And fusing them together as never before to truly change how the data center operates. Correct. And it is this introduction is this merging of these things together, which is extremely powerful in my mind. This is a little bit like a self driving vehicle, so thinking about a car driving down the street is self driving vehicle, it is consuming information from all of the environment around it, other vehicles, what's happening, everything from the wetter, but it also has a lot of built in knowledge which is built up to to self learning and training along the way in the kids collecting lots of that data for decades. Exactly. And we've got all that from all the infrastructure that we have. We can now bring that to bear. So what we're focusing on here is a project called project magna and project. Magna leverage is all of this infrastructure. What it does here is it helps connect the dots across huge datasets and again a deep insight across the stack, all the way from the application hardware, the infrastructure to the public cloud, and even the age and what it does, it leverages hundreds of control points to optimize your infrastructure on Kpis of cost performance, even user specified policies. This is the use of machine language in order to fundamentally transform. I'm sorry, machine learning. I'm going back to some. Very early was here, right? This is the use of machine learning and ai, which will automatically transform. How do you actually automate these data centers? The goal is true automation of your infrastructure, so you get to focus on the applications which really served needs of your business. Yeah, and you know, maybe you could think about that as in the past we would have described the software defined data center, but in the future we're calling it the self driving data center. Here we are taking that same acronym and redefining it, right? Because the self driving data center, the steep infusion of ai and machine learning into the management and automation into the storage, into the networking, into vsphere, redefining the self driving data center and with that we believe fundamentally is to be an enormous advance and how they can take advantage of new capabilities from bm ware. Correct. And you're already seeing some of this in pieces of projects such as some of the stuff we do in wavefront and so already this is how do we take this to a new level and that's what project magnet will do. So let's summarize what we've seen in a few demos here as we work in true each of these very quickly going through these demos. First of all, you saw the n word cloud on aws. How do I migrate an entire data center to the cloud with no downtime? Check, we saw project dementia, get the simplicity of Vm ware cloud in the data center and manage it at the age as a managed service check. Amazon rds and Vm ware. Cool Demo, seamlessly deploy a cloud service to an on premises environment. In this case already. Yes, we got that one coming in are in m five. And then finally project magna. What happens when you're looking to the future? How do we leverage ai and ml to self optimize to virtual infrastructure? Well, how did ray do as our demo guy? Thank you. Thanks. Thanks. Right. Thank you. So coming back to this picture, our gps for the day, we've covered any cloud, let's click into now any application, and as we think about any application, we really view it as this breadth of the traditional cloud native and Sas Coobernetti is quickly maybe spectacularly becoming seen as the consensus way that containers will be managed and automate as the framework for how modern APP teams are looking at their next generation environment, quickly emerging as a key to how enterprises build and deploy their applications today. And containers are efficient, lightweight, portable. They have lots of values for developers, but they need to also be run and operate and have many infrastructure challenges as well. Managing automation while patch lifecycle updates, efficient move of new application services, know can be accelerated with containers. We also have these infrastructure problems and you know, one thing we want to make clear is that the best way to run a container environment is on a virtual machine. You know, in fact, every leader in public cloud runs their containers and virtual machines. Google the creator and arguably the world leader in containers. They runs them all in containers. Both their internal it and what they run as well as G K, e for external users as well. They just announced gke on premise on vm ware for their container environments. Google and all major clouds run their containers and vms and simply put it's the best way to run containers. And we have solved through what we have done collectively the infrastructure problems and as we saw earlier, cool new container apps are also typically some ugly combination of cool new and legacy and existing environments as well. How do we bridge those two worlds? And today as people are rapidly moving forward with containers and Coobernetti's, we're seeing a certain set of problems emerge. And Dan cone, right, the director of CNCF, the Coobernetti, uh, the cloud native computing foundation, the body for Coobernetti's collaboration and that, the group that sort of stewards the standardization of this capability and he points out these four challenges. How do you secure them? How do you network and you know, how do you monitor and what do you do for the storage underneath them? Simply put, vm ware is out to be, is working to be is on our way to be the dial tone for Coobernetti's. Now, some of you who were in your twenties might not know what that means, so we know over to a gray hair or come and see me afterward. We'll explain what dial tone means to you or maybe stated differently. Enterprise grade standard for Cooper netties and for that we are working together with our partners at Google as well as pivotal to deliver Vm ware, pks, Cooper netties as an enterprise capability. It builds on Bosh. The lifecycle engine that's foundational to the pivotal have offerings today, uh, builds on and is committed to stay current with the latest Coobernetti's releases. It builds on Nsx, the SDN container, networking and additional contributions that were making like harbor the Vm ware open source contribution for the container registry. It packages those together makes them available on a hybrid cloud as well as public cloud environments with pks operators can efficiently deploy, run, upgrade their coopernetties environments on SDDC or on all public clouds. While developers have the freedom to embrace and run their applications rapidly and efficiently, simply put, pks, the standard for Coobernetti's in the enterprise and underneath that Nsx you'll is emerging as the standard for software defined networking. But when we think about and we saw that quote on the challenges of Kubernetes today, we see that networking is one of the huge challenge is underneath that and in a containerized world, things are changing even more rapidly. My network environment is moving more quickly. NSX provides the environment's easily automate networking and security for rapid deployment of containerized environments that fully supports the MRP chaos, fully supports pivotal's application service, and we're also committed to fully support all of the major kubernetes distribution such as red hat, heptio and docker as well Nsx, the only platform on the planet that can address the complexity and scale of container deployments taken together Vm Ware, pks, the production grade computer for the enterprise available on hybrid cloud, available on major public clouds. Now, let's not just talk about it again. Let's see it in action and please walk up to the stage. When di Carter with Ray, the senior director of cloud native marketing for Vm ware. Thank you. Hi everybody. So we're going to talk about pks because more and more new applications are built using kubernetes and using containers with vm ware pts. We get to simplify the deploying and the operation of Kubernetes at scale. When the. You're the experts on all of this, right? So can you take as true the scenario of how pks or vm ware pts can really help a developer operating the Kubernedes environment, developed great applications, but also from an administrator point of view, I can really handle things like networking, security and those configurations. Sounds great. I love to dive into the demo here. Okay. Our Demo is. Yeah, more pks running coubernetties vsphere. Now pks has a lot of cool functions built in, one of which is Nsx. And today what I'm going to show you is how NSX will automatically bring up network objects as quick Coobernetti's name spaces are spun up. So we're going to start with the fees per client, which has been extended to Ron pks, deployed cooper clusters. We're going to go into pks instance one, and we see that there are five clusters running. We're going to select one other clusters, call application production, and we see that it is running nsx. Now a cluster typically has multiple users and users are assigned namespaces, and these namespaces are essentially a way to provide isolation and dedicated resources to the users in that cluster. So we're going to check how many namespaces are running in this cluster and more brought up the Kubernetes Ui. We're going to click on namespace and we see that this cluster currently has four namespaces running wire. We're going to do next is bringing up a new name space and show that Nsx will automatically bring up the network objects required for that name space. So to do that, we're going to upload a Yammel file and your developer may actually use Ku Kata command to do this as well. We're going to check the namespace and there it is. We have a new name space called pks rocks. Yeah. Okay. Now why is that guy now? It's great. We have a new name space and now we want to make sure it has the network elements assigned to us, so we're going to go to the NSX manager and hit refresh and there it is. PKS rocks has a logical robber and a logical switch automatically assigned to it and it's up and running. So I want to interrupt here because you made this look so easy, right? I'm not sure people realize the power of what happened here. The developer, winton using Kubernetes, is api infrastructure to familiar with added a new namespace and behind the scenes pks and tardy took care of the networking. It combination of Nsx, a combination of what we do at pks to truly automate this function. Absolutely. So this means that if you are on the infrastructure operation, you don't need to worry about your developer springing up namespaces because Nsx will take care of bringing the networking up and then bringing them back down when the namespace is not used. So rate, but that's not it. Now, I was in operations before and I know how hard it is for enterprises to roll out a new product without visibility. Right, so pks took care of those dates, you operational needs as well, so while it's running your clusters, it's also exporting Meta data so that your developers and operators can use wavefront to gain deep visibility into the health of the cluster as well as resources consumed by the cluster. So here you see the wavefront Ui and it's showing you the number of nodes running, active parts, inactive pause, et cetera. You can also dive deeper into the analytics and take a look at information site, Georgia namespace, so you see pks rocks there and you see the number of active nodes running as well as the CPU utilization and memory consumption of that nice space. So now pks rocks is ready to run containerized applications and microservices. So you just get us a very highlight of a demo here to see a little bit what pks pks says, where can we learn more? So we'd love to show you more. Please come by the booth and we have more cool functions running on pks and we'd love to have you come by. Excellent. Thank you, Lindy. Thank you. Yeah, so when we look at these types of workloads now running on vsphere containers, Kubernedes, we also see a new type of workload beginning to appear and these are workloads which are basically machine learning and ai and in many cases they leverage a new type of infrastructure, hardware accelerators, typically gps. What we're going to talk about here is how in video and Vm ware have worked together to give you flexibility to run sophisticated Vdi workloads, but also to leverage those same gpu for deep learning inference workloads also on vsphere. So let's dive right into a demo here. Again, what you're seeing here is again, you're looking at here, you're looking at your standard view realized operations product, and you see we've got two sets of applications here, a Vdi desktop workload and machine learning, and the graph is showing what's happening with the Vdi desktops. These are office workers leveraging these desktops everyday, so of course the infrastructure is super busy during the daytime when they're in the office, but the green area shows this is not been used very heavily outside of those times. So let's take a look. What happens to the machine learning application in this case, this organization leverages those available gpu to run the machine learning operations outside the normal working hours. Let's take a little bit of a deeper dive into what the application it is before we see what we can do from an infrastructure and configuration point of view. So this machine learning application processes a vast number of images and it clarify or sorry, it categorizes these images and as it's doing so, it is moving forward and putting each of these in a database and you can see it's operating here relatively fast and it's leveraging some gps to do that. So typical image processing type of machine learning problem. Now let's take a dive in and look at the infrastructure which is making this happen. First of all, we're going to look only at the Vdi employee Dvt, a Vdi infrastructure here. So I've got a bunch of these applications running Vdi applications. What I want to do is I want to move these so that I can make this image processing out a application run a lot faster. Now normally you wouldn't do this, but pot insisted that we do this demo at 10:30 in the morning when the office workers are in there, so we're going to move older Vdi workloads over to the other cluster and that's what you're seeing is going on right now. So as they move over to this other cluster, what we are now doing is freeing up all of the infrastructure. The GPU that Vdi workload was using here. We see them moving across and now you've freed up that infrastructure. So now we want to take a look at this application itself, the machine learning application and see how we can make use of that. Now freed up infrastructure we've got here is the application is running using one gpu in a vsphere cluster, but I've got three more gpu is available now because I've moved the Vdi workloads. We simply modify the application, let it know that these are available and you suddenly see an increase in the processing capabilities because of what we've done here in terms of making the flexibility of accessing those gps. So what you see here is the same gps that youth for Vdi, which you probably have in your infrastructure today, can also be used to run sophisticated machine learning and ai type of applications on your vsphere infrastructure. So let's summarize what we've seen in the various demos here in this section. First of all, we saw how the MRPS simplifies the deployment and operating operation of Kubernetes at scale. What we've also seen is that leveraging the Nvidia Gpu, we can now run the most demanding workloads on vsphere. When we think about all of these applications and these new types of workloads that people are running. I want to take one second to speak to another workload that we're seeing beginning to appear in the data center. And this is of course blockchain. We're seeing an increasing number of organizations evaluating blockchains for smart contract and digital consensus solutions. So this tech, this technology is really becoming or potentially becoming a critical role in how businesses will interact each other, how they will work together. We'd project concord, which is an open source project that we're releasing today. You get the choice, performance and scale of verifiable trust, which you can then bring to bear and run in the enterprise, but this is not just another blockchain implementation. We have focused very squarely on making sure that this is good for enterprises. It focuses on performance, it focuses on scalability. We have seen examples where running consensus algorithms have taken over 80 days on some of the most common and widely used infrastructure in blockchain and we project conquered. You can do that in two and a half hours. So I encourage you to check out this project on get hub today. You'll also see lots of activity around the whole conference. Speaking about this. Now we're going to dive into another section which is the anti device section. And for that I need to welcome pat back up there. Thank you pat. Thanks right. So diving into any device piece of the puzzle, you and as we think about the superpowers that we have, maybe there are no more area that they are more visible than in the any device aspect of our picture. You know, and as we think about this, the superpowers, you know, think about mobility, right? You know, and how it's enabling new things like desktop as a service in the mobile area, these breadth of smartphones and devices, ai and machine learning allow us to manage them, secure them and this expanding envelope of devices in the edge that need to be connected and wearables and three d printers and so on. We've also seen increasing research that says engaged employees are at the center of business success. Engaged employees are the critical ingredient for digital transformation. And frankly this is how I run vm ware, right? You know, I have my device and my work, all my applications, every one of my 23,000 employees is running on our transformed workspace one environment. Research shows that companies that, that give employees ready anytime access are nearly three x more likely to be leaders in digital transformation. That employees spend 20 percent of their time today on manual processes that can be automated. The way team collaboration and speed of division decisions increases by 16 percent with engaged employees with modern devices. Simply put this as a critical aspect to enabling your business, but you remember this picture from the silos that we started with and each of these environments has their own tribal communities of management, security automation associated with them, and the complexity associated with these is mind boggling and we start to think about these. Remember the I'm a pc and I'm a Mac. Well now you have. I'm an Ios. I'm a droid and other bdi and I'm now a connected printer and I'm a connected watch. You remember citrix manager and good is now bad and sccm a failed model and vpns and Xanax. The chaos is now over at the center of that is vm ware, workspace one, get it out of the business of managing devices, automate them from the cloud, but still have the mentor price. Secure cloud based analytics that brings new capabilities to this critical topic. You'll focus your energy on creating employee and customer experiences. You know, new capabilities to allow like our airlift, the new capability to help customers migrate from their sccm environment to a modern management, expanding the use of workspace intelligence. Last year we announced the chromebook and a partnership with HP and today I'm happy to announce the next step in our partnerships with Dell. And uh, today we're announcing that Dell provisioning for Vm ware, workspace one as part of Dell's ready to work solutions Dallas, taking the next leap and bringing workspace one into the core of their client to offerings. And the way you can think about this as Literally a dell drop ship, lap pops showing up to new employee. day one, productivity. You give them their credential and everything else is delivered by workspace one, your image, your software, everything patched and upgraded, transforming your business, right beginning at that device experience that you give to your customer. And again, we don't want to talk about it. We want to show you how this works. Please walk to the stage with re renew the head of our desktop products marketing. Thank you. So we just heard from pat about how workspace one integrated with Dell laptops is really set up to manage windows devices. What we're broadly focused on here is how do we get a truly modern management system for these devices, but one that has an intelligence behind it to make sure that we're kept with a good understanding of how to keep these devices always up to date and secure. Can we start the demo please? So what we're seeing here is to be the the front screen that you see of workspace one and you see you've got multiple devices a little bit like that demo that patch assured. I've got Ios, android, and of course I've got windows renewal. Can you please take us through how workspace one really changes the ability of somebody an it administrator to update and manage windows into our environment? Absolutely. With windows 10, Microsoft has finally joined the modern management body and we are really excited about that. Now. The good news about modern management is the frequency of ostp updates and how quickly they come out because you can address all those security issues that are hitting our radar on a daily basis, but the bad news about modern management is the frequency of those updates because all of us in it admins, we have to test each and every one of our applications would that latest version because we don't want to roll out that update in case of causes any problems with workspace one, we saw that we simply automate and provide you with the APP compatibility information right out of the box so you can now automate that update process. Let's take a quick look. Let's drill down here further into the windows devices. What we'll see is that only a small percentage of those devices are on that latest version of operating system. Now, that's not a good thing because it might have an important security fix. Let's scroll down further and see what the issue is. We find that it's related to app compatibility. In fact, 38 percent of our devices are blocked from being upgraded and the issue is app compatibility. Now we were able to find that not by asking the admins to test each and every one of those, but we combined windows analytics data with APP intelligent out of the box and be provided that information right here inside of the console. Let's dig down further and see what those devices and apps look like. So knew this is the part that I find most interesting. If I am a system administrator at this point I'm looking at workspace one is giving me a key piece of information. It says if you proceed with this update, it's going to fail 84, 85 percent at a time. So that's an important piece of information here, but not alone. Is it telling me that? It is telling me roughly speaking why it thinks it's going to fail. We've got a number of apps which are not ready to work with this new version, particularly the Mondo card sales lead tracker APP. So what we need to do is get engineering to tackle the problems with this app and make sure that it's updated. So let's get fixing it in order to fix it. What we'll do is create an automation and we can do this right out of the box in this automation will open up a Jira ticket right from within the console to inform the engineers about the problem, not just that we can also flag and send a notification to that engineering manager so that it's top of mine and they can get working on this fixed right away. Let's go ahead and save that automation right here, ray UC. There's the automation that we just So what's happening here is essentially this update is now scheduled meeting. saved. We can go and update oldest windows devices, but workspace one is holding the process of proceeding with that update, waiting for the engineers to update the APP, which is going to cause the problem. That's going to take them some time, right? So the engineers have been working on this, they have a fixed and let's go back and see what's happened to our devices. So going back into the ios updates, what we'll find is now we've unblocked those devices from being upgraded. The 38 percent has drastically dropped down. It can rest in peace that all of the devices are compliant and on that latest version of operating system. And again, this is just a snapshot of the power of workspace one to learn more and see more. I invite you all to join our EOC showcase keynote later this evening. Okay. So we've spoken about the presence of these new devices that it needs to be able to manage and operate across everything that they do. But what we're also seeing is the emergence of a whole new class of computing device. And these are devices which are we commonly speak to have been at the age or embedded devices or Iot. And in many cases these will be in factories. They'll be in your automobiles, there'll be in the building, controlling, controlling, uh, the building itself, air conditioning, etc. Are quite often in some form of industrial environment. There's something like this where you've got A wind farm under embedded in each of these turbines. This is a new class of computing which needs to be managed, secured, or we think virtualization can do a pretty good job of that in new virtualization frontier, right at the edge for iot and iot gateways, and that's gonna. That's gonna, open up a whole new realm of innovation in that space. Let's dive down and taking the demo. This spaces. Well, let's do that. What we're seeing here is a wind turbine farm, a very different than a data center than what we're used to and all the compute infrastructure is being managed by v center and we see to edge gateway hose and they're running a very mission critical safety watchdog vm right on there. Now the safety watchdog vm is an fte mode because it's collecting a lot of the important sensor data and running the mission critical operations for the turbine, so fte mode or full tolerance mode, that's a pretty sophisticated virtualization feature allowing to applications to essentially run in lockstep. So if there's a failure, wouldn't that gets to take over immediately? So this no sophisticated virtualization feature can be brought out all the way to the edge. Exactly. So just like in the data center, we want to perform an update, so as we performed that update, the first thing we'll do is we'll suspend ft on that safety watchdog. Next, we'll put two. Oh, five into maintenance mode. Once that's done, we'll see the power of emotion that we're all familiar with. We'll start to see all the virtual machines vmotion over to the second backup host. Again, all the maintenance, all the update without skipping a heartbeat without taking down any daily operations. So what we're seeing here is the basic power of virtualization being brought out to the age v motion maintenance mode, et cetera. Great. What's the big deal? We've been doing that for years. What's the, you know, come on. What's the big deal? So what you're on the edge. So when you get to the age pack, you're dealing with a whole new class of infrastructure. You're dealing with embedded systems and new types of cpu hours and process. This whole demo has been done on an arm 64. Virtualization brought to arm 64 for embedded devices. So we're doing this on arm on the edge, correct. Specifically focused for embedded for age oems. Okay. Now that's good. Okay. Thank you ray. Actually, we've got a summary here. Pat, just a second before you disappear. A lot to rattle off what we've just seen, right? We've seen workspace one cross platform management. What we've also seen, of course esx for arm to bring the power of vfx to edge on 64, but are in platforms will go no. Okay. Okay. Thank you. Thanks. Now we've seen a look at a customer who is taking advantage of everything that we just saw and again, a story of a customer that is just changing lives in a fundamental way. Let's see. Make a wish. So when a family gets the news that a child is sick and it's a critical illness, it could be a life threatening illness. The whole family has turned upside down. Imagine somebody comes to you and they say, what's the one thing you want that's in your heart? You tell us and then we make that happen. So I was just calling to give you the good news that we're going to be able to grant jackson a wish make, which is the largest wish granting organizations in the United States. English was featured in the cbs 60 minutes episode. Interestingly, it got a lot of hits, but uh, unfortunately for the it team, the whole website crashed make a wish is going through a program right now where we're centralizing technology and putting certain security standards in place at our chapters. So what you're seeing here, we're configuring certain cloud services to make sure that they always are able to deliver on the mission whether they have a local problem or not is we continue to grow the partnership and work with vm ware. It's enabling us to become more efficient in our processes and allows us to grant more wishes. It was a little girl. She had a two year old brother. She just wanted a puppy and she was forthright and I want to name the puppy in my name so my brother would always have me to list them off a five year old. It's something we can't change their medical outcome, but we can change their spiritual outcome and we can transform their lives. Thank you. Working together with you truly making wishes come true. The last topic I want to touch on today, and maybe the most important to me personally is security. You got to fundamentally, when we think about this topic of security, I'll say it's broken today and you know, we would just say that the industry got it wrong that we're trying to bolt on or chasing bad, and when we think about our security spend, we're spending more and we're losing more, right? Every day we're investing more in this aspect of our infrastructure and we're falling more behind. We believe that we have to have much less security products and much more security. You know, fundamentally, you know, if you think about the problem, we build infrastructure, right? Generic infrastructure, we then deploy applications, all kinds of applications, and we're seeing all sorts of threats launched that as daily tens of millions. You're simple virus scanner, right? Is having tens of millions of rules running and changing many times a day. We simply believe the security model needs to change. We need to move from bolted on and chasing bad to an environment that has intrinsic security and is built to ensure good. This idea of built in security. We are taking every one of the core vm ware products and we are building security directly into it. We believe with this, we can eliminate much of the complexity. Many of the sensors and agents and boxes. Instead, they'll directly leverage the mechanisms in the infrastructure and we're using that infrastructure to lock it down to behave as we intended it to ensure good, right on the user side with workspace one on the network side with nsx and microsegmentation and storage with native encryption and on the compute with app defense, we are building in security. We're not chasing threats or adding on, but radically reducing the attack surface. When we look at our applications in the data center, you see this collection of machines running inside of it, right? You know, typically running on vsphere and those machines are increasingly connected. Through nsx and last year we introduced the breakthrough security solution called app defense and app defense. Leverages the unique insight we get into the application so that we can understand the application and map it into the infrastructure and then you can lock down, you could take that understanding, that manifest of its behavior and then lock those vms to that intended behavior and we do that without the operational and performance burden of agents and other rear looking use of attack detection. We're shrinking the attack surface, not chasing the latest attack vector, you know, and this idea of bolt on versus chasing bad. You sort of see it right in the network. Machines have lots of conductivity, lots of applications running and something bad happens. It basically has unfettered access to move horizontally through the data center and most of our security is north, south. MosT of the attacks are eastwest. We introduced this idea of microsegmentation five years ago, and by it we're enabling organizations to secure some networks and separate sensitive applications and services as never before. This idea isn't new, that just was never practical before nsx, but we're not standing still. Our teams are innovating to leap beyond 12. What's next beyond microsegmentation, and we see this in three simple words, learn, imagine a system that can look into the applications and understand their behavior and how they should operate. we're using machine learning and ai instead of chasing were to be able to ensure good where that that system can then locked down its behavior so the system consistently operates that way, but finally we know we have a world of increasing dynamic applications and as we move to more containerize the microservices, we know this world is changing, so we need to adapt. We need to have more automation to adapt to the current behavior. Today I'm very excited to have two major announcements that are delivering on this vision. The first of those vsphere platinum, our flagship vm ware vsphere product now has app defense built right in platinum will enable virtualization teams. Yeah, go ahead. Yeah, let's use it. Platinum will enable virtualization teams you to give an enormous contribution to the security profile of your enterprise. You could see whatever vm is for its purpose, its behavior until the system. That's what it's allowed to do. Dramatically reducing the attack surface without impact. On operations or performance, the capability is so powerful, so profound. We want you to be able to leverage it everywhere, and that's why we're building it directly into vsphere, vsphere platinum. I call it the burger and fries. You know, nobody leaves the restaurant without the fries who would possibly run a vm in the future without turning security on. That's how we want this to work going forward. Vsphere platinum and as powerful as microsegmentation has been as an idea. We're taking the next step with what we call adaptive microsegmentation. We are fusing Together app defense and vsphere with nsx to allow us to align the policies of the application through vsphere and the network. We can then lock down the network and the compute and enable this automation of the microsegment formation taken together adaptive microsegmentation. But again, we don't want to just tell you about it. We want to show you. Please welcome to the stage vj dante, who heads our machine learning team for app dispense. Vj a very good vj. Thanks for joining us. So, you know, I talked about this idea right, of being able to learn, lock and adapt. Uh, can you show it to us? Great. Yeah. Thank you. With vc a platinum, what we have done is we have put in everything you need to learn, lock and adapt, right with the infrastructure. The next time you bring up your wifi at line, you'll actually see a difference right in there. Let's go with that demo. There you go. And when you look at our defense there, what you see is that all your guests, virtual machines and all your host, hundreds of them and thousands of virtual machines enabling for that difference. It's in there. And what that does is immediately gets you visibility into the processes running on those virtual machines and the risk for the first time. Think about it for the first time. You're looking at the infrastructure through the lens of an application. Here, for example, the ecommerce application, you can see the components that make up that application, how they interact with each other, the specific process, a specific ip address on a specific board. That's what you get, but so we're learning the behavior. Yes. Yeah, that's very good. But how do you make sure you only learn good behavior? Exactly. How do we make sure that it's not bad? We actually verify me insured. It's all good. We ensured that everybody these reputation is verified. We ensured that the haven is verified. Let's go to svc host, for example. This process can exhibit hundreds of behaviors across numerous. Realize what we do here is we actually verify that failure saw us. It's actually a machine learning models that had been trained on millions of instances of good, bad at you said, and then automatically verify that for okay, so we said, you. We learned simply, learn now, lock. How does that work? Well, once you learned the application, locking it is as simple as clicking on that verify and protect button and then you can lock both the compute and network and it's done. So we've pushed those policies into nsx and microsegmentation has been established actually locked down the compute. What is the operating system is exactly. Let's first look at compute, protected the processes and the behaviors are locked down to exactly what is allowed for that application. And we have bacon policies and program your firewall. This is nsx being configured automatically for you, laurie, with one single click. Very good. So we said learn lock. Now, how does this adapt thing work? Well, a bad change is the only constant, but modern applications applications change on a continuous basis. What we do is actually pretty simple. We look at every change as it comes in determinant is good or bad. If it's good, we say allow it, update the policies. That's bad. We denied. Let's look at an example as asco dxc. It's exhibiting a behavior that they've not seen getting the learning period. Okay? So this machine has never behave this This hasn't been that way. But. way. But again, our machine learning models had seen thousands of instances of this process. They know this is normal. It talks on three 89 all the time. So what it's done to the few things, it's lowered the criticality of the alarm. Okay, so false positive. Exactly. The bane of security operations, false positives, and it has gone and updated. Jane does locks on compute and network to allow for that behavior. Applications continues to work on this project. Okay, so we can learn and adapt and action right through the compute and the network. What about the client? Well, we do with workplace one, intelligence protect and manage end user endpoint, but what's one intelligence? Nsx and actually work together to protect your entire data center infrastructure, but don't believe me. You can watch it for yourself tomorrow tom cornu keynote. You want to be there, at 1:00 PM, be there or be nowhere. I love you. Thank you veejay. Great job. Thank you so much. So the idea of intrinsic security and ensuring good, we believe fundamentally changing how security will be delivered in the enterprise in the future and changing the entire security industry. We've covered a lot today. I'm thrilled as I stand on stage to stand before this community that truly has been at the center of changing the world of technology over the last couple of decades. In it. We've talked about this idea of the super powers of technology and as they accelerate the huge demand for what you do, you know in the same way we together created this idea of the virtual infrastructure admin. You'll think about all the jobs that we are spawning in the discussion that we had today, the new skills, the new opportunities for each one of us in this room today, quantum program, machine learning engineer, iot and edge expert. We're on the cusp of so many new capabilities and we need you and your skills to do that. The skills that you possess, the abilities that you have to work across these silos of technology and enabled tomorrow. I'll tell you, I am now 38 years in the industry and I've never been more excited because together we have the opportunity to build on the things that collective we have done over the last four decades and truly have a positive global impact. These are hard problems, but I believe together we can successfully extend the lifespan of every human being. I believe together we can eradicate chronic diseases that have plagued mankind for centuries. I believe we can lift the remaining 10 percent of humanity out of extreme poverty. I believe that we can reschedule every worker in the age of the superpowers. I believe that we can give modern ever education to every child on the planet, even in the of slums. I believe that together we could reverse the impact of climate change. I believe that together we have the opportunity to make these a reality. I believe this possibility is only possible together with you. I asked you have a please have a wonderful vm world. Thanks for listening. Happy 20th birthday. Have a great topic.

Published Date : Aug 28 2018

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Jon Thomas, BMC | Google Cloud Next 2018


 

>> Live from San Francisco, it's theCUBE. Covering Google Cloud Next, 2018. Brought to you by Google Cloud, and its ecosystem partners. >> Hi this is Peter Burris from Wikibon SiliconANGLE, stepping in for John Furrier and Dave Vellante. Continuing our CUBE coverage here at Google Next 2018 from Moscone South, an impressive array of talent, and that includes my next guest, Jon Thomas. Jon is the director of Product Management for Digital Services Management Cloud Services at BMC Software. Welcome to theCUBE, Jon. >> Thank you for having me. >> You know this is a really an interesting topic for me, because as an old infrastructure hack, someone who's been in IT operations in a couple different worlds, as well as being an Industry Analyst in infrastructure, it's important that we not lose sight of the fact that there's a lot of expertise out there regarding how we run complex systems, that the Cloud companies are demonstrating, but the business as an adopt Cloud services, nonetheless, has to sustain. So talk to us a little bit about what BMC is doing to try to bring some of that knowledge over 30 years of working in the data center, and apply it for businesses as they become better Cloud citizens. >> Yeah, thank you for asking. So, BMC is worked with some of the largest IT organizations. In fact, over 80% of the Fortune 500 use BMC software to help them manage IT. At this point when I go out and talk to those customers, they're all on a Cloud journey. And the really exciting thing is that the conversations stop becoming if we're going to use public cloud, but it's going to be a how to use public cloud, and really at this point, it's about how do we use it in a way that we can scale that out, scale that innovation out within the organization. And we're seeing that those organizations are actually, in a lot of times, they're reorganizing in order to really facilitate that innovation. And so BMC, like you said, is taking that expertise that we've had and helping them manage the data center asset, and to apply the same learnings that we had with a new spin to actually work with the public cloud as they start to adopt public cloud. >> So, give us an example of a few of the more modern approaches in the cloud that are being employed by BMC to ensure that you get the type of control, manageability, and automation, that BMC customers have gotten used to on-premise. >> Yeah, I mean, one great example is for a very long time BMC has had the BladeLogic Product Line, and we've helped customers to make sure that they can harden their servers and their network devices and their databases on premise. Now as they move the public cloud, there's a big question, what does it mean to even harden a public cloud configuration? And a lot of organizations are trying to understand what is their responsibility in that shared responsibility model. And so one thing that we've done is take that knowledge about hardening assets and apply it to public cloud resources, and also just in the way that we do it. You know if you think about traditionally, IT's gotten a bad rap as being Captain No, and now with the public cloud and the ability of application teams that go directly to the public cloud, IT has to just change the way that it's providing its services to their consumers, their internal consumers. So, now instead of putting a big block in the process, instead we're enabling IT to provide services. Because application teams, they don't want to be insecure. They're not out there nefariously trying to break things and leave data out there. >> They may sometimes not know when they're not being secure. >> Exactly, and so IT's new and changing role is about how do you provide services and consultation to your business to be a facilitator. And so with the products that we're offering now, we think we've taken that history, and that legacy, and our heritage, and hardening in that data center, and then applying that same model to the public cloud, but in a model that fits for how you leverage public cloud resources. >> I presume that a customer that decides to go with, say, Google or Google Cloud-- >> Yeah. >> Or decides to go with Amazon or AWS, is going to use your product and exploit the best or the capabilities of both clouds. as they are uniquely provided, is that accurate? >> Absolutely. Yeah when we talk to our customers, very few of them have the luxury of only using one public cloud vendor. Whether it's based off of decisions from application teams or even acquisitions, a lot of times they have to manage across multiple clouds on top of all of that on-premise infrastructure that they still have to manage. And so we do, we try to help to simplify that complexity for them by bringing it all together into one visibility, into what is the state of the risk of their cloud services. >> But to employ, or to be able to exploit the best that each of those platforms has, while at the same time from an overall manageability standpoint, being able to provide a common view to those different resources, have I got that right? >> Exactly, exactly. >> Now, how does that tie back in to the data center? One of the things that we've seen over the course of the last week is something that Wikibon has been calling it your private cloud. The idea that there are going to be circumstances when an enterprise's data requires that you move the cloud to the data, as opposed to moving the data to the cloud. >> Yeah. >> And there's no doubt there's going to be a lot of data that's going to, for any number of physical, legal, election property control reasons, will be on-premise, or within the confines of the business. So, how do you envision that the practices and tooling and automation regimes that are currently on-premise, and what we're doing now on the cloud are going to start together, come together over the next few years. So we can put data where it naturally should be. >> Yeah, I'm glad you asked that. It's just, some of the tools and some of the reasons that we're able to help our customers on their cloud journey is because we have that knowledge of their on-premise infrastructure. So being able to do things like discover what they have on-prem, and understand the dependencies, helps us to be really uniquely positioned to help them with cloud migration. And migration might not be just from on-premise to cloud, it could be from cloud back to on-premise, it could be between clouds or even between different regions based off of the need of the business at that time. >> So that's migration, what about overall classes of integration that might allow a DevOps person, for example, to be able to look at an application that spans multiple places, or multiple locations, but still be able to administrate as a coherent resource? >> Yeah, so in that same discovery capabilities that we have, we've extended those out to the public cloud as well, so we can discover on-premise, in the public cloud, so that whenever you need it, you can go to a single place and understand what's the state of your infrastructure, no matter where it exists. >> So what do you think of Google Next? Are you having good conversations with customers? Do you see Google Cloud coming on more? And how does BMC going to make it easier for everybody? >> Absolutely, we're really excited by the progress that Google Cloud is making and we're seeing a lot of adoption in particular certain segments of our businesses are really, really fond of Google Cloud. And what we're doing is trying to make sure that from the tools that we have that we're integrating into Google Cloud, so that it gives our customers that choice to pick what's the right cloud for them at the right time and for the right circumstances, and then still get that simplification by putting it all into the same tool where they can get in the single view. >> Now every company has a challenge as they migrate to the cloud, both from a standpoint of where the applications are being developed, where the applications are being run. But also, strategically, the cloud has a pretty significant impact. BMC seems to be one of those companies that's able to partly, I would presume in large measure, because of 30 years of really working with the customers is having a relatively facile time enacting that transformation. Give us a sense, especially in the Product Management Committee, thinking about how BMC's going to provide value in the cloud. What is BMC think the future of cloud and cloud management looks like? >> Well, we see it's evolving. Right now a lot of organizations are creating centralized Cloud Centers of Excellence just to figure out how, like I said, to scale out best practices within their organization. And right now, those teams really have a couple of areas of focus. Number one is the migration, so figuring out how to do their migration projects. Number two is how do we do security of those resources, so being able to understand what's their risk posture, and set up some governance around that, we say a cloud with guard rails. And the last thing is last year was really a time of customers coming to us because they had 10 ex-million dollar surprise builds. And so one of the things that we want to do to help facilitate the use of public cloud, because we believe that it can be as safe or safer, as efficient or more efficient, is to take away those concerns that would keep a company from feeling like they're able to migrate more workloads to the cloud, or build more applications to the cloud. >> So, Jon, I'm going to do kind of a lightning round here. >> Alright. >> I'm going to put something in front of you and I want you to respond as best as you can from a standpoint of how the value proposition's going to play out. Let's start with speed to value. How does the tooling that you're providing improve speed to value, especially to those companies that are looking for greater flexibility than strategies? >> Well, speed to value, one of the biggest things is in order to have real data up in the public cloud, organizations just need to understand what is their risk posture, make sure that those services that they're creating are hardened. And so with our true side cloud security product, we're able to give them that visibility so that they can get the check mark to move quickly to go to market with the solutions they're creating in the public cloud. >> The second thing, modern application development, containers, Kubernetes, those types of things. >> Yeah, absolutely. In the same platform that we support the public cloud, it's really all new modern innovations. So we also support Kubernetes, and Docker as well, so you bring that all into the same platform and the same visibility. >> Big data, advanced analytics, and AI. >> So as companies want to leverage AI, that's one of the examples where they're trying to figure out as they do it, what are their costs going to do? New services, we've heard stories where people turn on a brand new service and then find out that that service costs them a lot of money. And so with some of our expense management for a cloud tools, we're able to do baselines of their spending and start to forecast out, identify when you have something that is going to come and surprise you later on. >> Can't talk about cloud without talking security. >> Absolutely. Yeah, so through true side cloud security, we're helping organizations to not only identify where they might have a risky configurations that might leave them open to data breaches, but also built in automated remediation so that you can take action, and to bring yourself to a very safe place. >> One of the big challenges of the cloud on a global basis is privacy, trust, local. How does GDPR fit into this mix, for example? >> Well, one of the requirements that GDPR is really to have state of the art, that's what they say. And so you have to have state of the art controls in place. So with our solution, especially just like cloud security, that allows organizations to be able to not only have state of the art prosthesis in place and tools to access their risk, but to also prove it. And I think that's a big aspect. >> IoT. >> IoT is also something that's coming up a lot in our customer base, so being able to manage those same cloud resources in terms of the cost of the resources and the security as well. >> Serverless? >> Yeah, Serverless. In fact, internally when we developed our application, we used a lot of Serverless. So we love cloud native artifacts, we believe that they really can help application teams to develop applications quicker. And so one of the things that we provide is the ability to look at hardening of applications built on cloud native resources. >> Now you've already mentioned cost, but what's it cost to? How do you use the tooling to get the most out of your expenditures in the cloud? >> So, first off we give you the visibility in to what you're spending, and then run that through machine learning to search and do forecasting to help you identify when you're going to overrun your cost, but the second part of that is to actually look at optimization. So we're examining out your accounts to understand, do you have idle VM's that are out there? Do you have ones that were over revision? Different ways that we can help bring down your cost to make it sure that your maximizing your cost in the public cloud. >> Okay, so, the next two years at BMC, going to continue to drive its affinity with these new cloud-based workloads. What are you most excited about as you look out at working with customers over the next couple of years? >> Really looking at the adoption going bigger. And, right now, and they talked about it in The Keynote this morning, the number of workloads in the public cloud, it is still relatively small to what they have on-premise. And so we believe that as organizations start to do hardware refreshes, starts to do data center consolidation projects, they're going to start looking into public cloud more and more, and we're going to see more and more resources making their way to the public cloud, and we find that very exciting. >> A wide opportunity for thought leadership, isn't there Jon? >> Absolutely. >> Alright, Jon Thomas, who's been crucial to driving a lot of the product management efforts around some of BMC's cloud management software. Thanks very much for being on theCUBE, Jon. >> Thanks for having me. >> Okay, we'll be right back with more coverage from Google Next, thanks for watching.

Published Date : Jul 24 2018

SUMMARY :

Brought to you by Google Cloud, Welcome to theCUBE, Jon. that the Cloud companies and to apply the same to ensure that you get the type that go directly to the public cloud, when they're not being secure. model to the public cloud, is going to use your product that they still have to manage. the data to the cloud. are going to start together, So being able to do things like discover so that whenever you need it, that from the tools that we have as they migrate to the cloud, so being able to understand So, Jon, I'm going to do I'm going to put to go to market with the those types of things. and the same visibility. something that is going to come Can't talk about cloud and to bring yourself One of the big challenges of the cloud is really to have state of the art, so being able to manage is the ability to look at in to what you're spending, going to continue to drive its affinity to what they have on-premise. to driving a lot of the back with more coverage

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Eric Herzog, IBM | DataWorks Summit 2018


 

>> Live from San Jose in the heart of Silicon Valley, it's theCUBE, covering DataWorks Summit 2018, brought to you by Hortonworks. >> Welcome back to theCUBE's live coverage of DataWorks here in San Jose, California. I'm your host, Rebecca Knight, along with my co-host, James Kobielus. We have with us Eric Herzog. He is the Chief Marketing Officer and VP of Global Channels at the IBM Storage Division. Thanks so much for coming on theCUBE once again, Eric. >> Well, thank you. We always love to be on theCUBE and talk to all of theCUBE analysts about various topics, data, storage, multi-cloud, all the works. >> And before the cameras were rolling, we were talking about how you might be the biggest CUBE alum in the sense of you've been on theCUBE more times than anyone else. >> I know I'm in the top five, but I may be number one, I have to check with Dave Vellante and crew and see. >> Exactly and often wearing a Hawaiian shirt. >> Yes. >> Yes, I was on theCUBE last week from CISCO Live. I was not wearing a Hawaiian shirt. And Stu and John gave me a hard time about why was not I wearing a Hawaiian shirt? So I make sure I showed up to the DataWorks show- >> Stu, Dave, get a load. >> You're in California with a tan, so it fits, it's good. >> So we were talking a little bit before the cameras were rolling and you were saying one of the points that is sort of central to your professional life is it's not just about the storage, it's about the data. So riff on that a little bit. >> Sure, so at IBM we believe everything is data driven and in fact we would argue that data is more valuable than oil or diamonds or plutonium or platinum or silver to anything else. It is the most viable asset, whether you be a global Fortune 500, whether you be a midsize company or whether you be Herzogs Bar and Grill. So data is what you use with your suppliers, with your customers, with your partners. Literally everything around your company is really built around the data so most effectively managing it and make sure, A, it's always performant because when it's not performant they go away. As you probably know, Google did a survey that one, two, after one, two they go off your website, they click somewhere else so has to be performant. Obviously in today's 365, 7 by 24 company it needs to always be resilient and reliable and it always needs to be available, otherwise if the storage goes down, guess what? Your AI doesn't work, your Cloud doesn't work, whatever workload, if you're more traditional, your Oracle, Sequel, you know SAP, none of those workloads work if you don't have a solid storage foundation underneath your data driven enterprise. >> So with that ethos in mind, talk about the products that you are launching, that you newly launched and also your product roadmap going forward. >> Sure, so for us everything really is that storage is this critical foundation for the data driven, multi Cloud enterprise. And as I've said before on theCube, all of our storage software's now Cloud-ified so if you need to automatically tier out to IBM Cloud or Amazon or Azure, we automatically will move the data placement around from one premise out to a Cloud and for certain customers who may be multi Cloud, in this case using multiple private Cloud providers, which happens due to either legal reasons or procurement reasons or geographic reasons for the larger enterprises, we can handle that as well. That's part of it, second thing is we just announced earlier today an artificial intelligence, an AI reference architecture, that incorporates a full stack from the very bottom, both servers and storage, all the way up through the top layer, then the applications on top, so we just launched that today. >> AI for storage management or AI for run a range of applications? >> Regular AI, artificial intelligence from an application perspective. So we announced that reference architecture today. Basically think of the reference architecture as your recipe, your blueprint, of how to put it all together. Some of the components are from IBM, such as Spectrum Scale and Spectrum Computing from my division, our servers from our Cloud division. Some are opensource, Tensor, Caffe, things like that. Basic gives you what the stack needs to be, and what you need to do in various AI workloads, applications and use cases. >> I believe you have distributed deep learning as an IBM capability, that's part of that stack, is that correct? >> That is part of the stack, it's like in the middle of the stack. >> Is it, correct me if I'm wrong, that's containerization of AI functionality? >> Right. >> For distributed deployment? >> Right. >> In an orchestrated Kubernetes fabric, is that correct? >> Yeah, so when you look at it from an IBM perspective, while we clearly support the virtualized world, the VM wares, the hyper V's, the KVMs and the OVMs, and we will continue to do that, we're also heavily invested in the container environment. For example, one of our other divisions, the IBM Cloud Private division, has announced a solution that's all about private Clouds, you can either get it hosted at IBM or literally buy our stack- >> Rob Thomas in fact demoed it this morning, here. >> Right, exactly. And you could create- >> At DataWorks. >> Private Cloud initiative, and there are companies that, whether it be for security purposes or whether it be for legal reasons or other reasons, don't want to use public Cloud providers, be it IBM, Amazon, Azure, Google or any of the big public Cloud providers, they want a private Cloud and IBM either A, will host it or B, with IBM Cloud Private. All of that infrastructure is built around a containerized environment. We support the older world, the virtualized world, and the newer world, the container world. In fact, our storage, allows you to have persistent storage in a container's environment, Dockers and Kubernetes, and that works on all of our block storage and that's a freebie, by the way, we don't charge for that. >> You've worked in the data storage industry for a long time, can you talk a little bit about how the marketing message has changed and evolved since you first began in this industry and in terms of what customers want to hear and what assuages their fears? >> Sure, so nobody cares about speeds and feeds, okay? Except me, because I've been doing storage for 32 years. >> And him, he might care. (laughs) >> But when you look at it, the decision makers today, the CIOs, in 32 years, including seven start ups, IBM and EMC, I've never, ever, ever, met a CIO who used to be a storage guy, ever. So, they don't care. They know that they need storage and the other infrastructure, including servers and networking, but think about it, when the app is slow, who do they blame? Usually they blame the storage guy first, secondarily they blame the server guy, thirdly they blame the networking guy. They never look to see that their code stack is improperly done. Really what you have to do is talk applications, workloads and use cases which is what the AI reference architecture does. What my team does in non AI workloads, it's all about, again, data driven, multi Cloud infrastructure. They want to know how you're going to make a new workload fast AI. How you're going to make their Cloud resilient whether it's private or hybrid. In fact, IBM storage sells a ton of technology to large public Cloud providers that do not have the initials IBM. We sell gobs of storage to other public Cloud providers, both big, medium and small. It's really all about the applications, workloads and use cases, and that's what gets people excited. You basically need a position, just like I talked about with the AI foundations, storage is the critical foundation. We happen to be, knocking on wood, let's hope there's no earthquake, since I've lived here my whole life, and I've been in earthquakes, I was in the '89 quake. Literally fell down a bunch of stairs in the '89 quake. If there's an earthquake as great as IBM storage is, or any other storage or servers, it's crushed. Boom, you're done! Okay, well you need to make sure that your infrastructure, really your data, is covered by the right infrastructure and that it's always resilient, it's always performing and is always available. And that's what IBM drives is about, that's the message, not about how many gigabytes per second in bandwidth or what's the- Not that we can't spew that stuff when we talk to the right person but in general people don't care about it. What they want to know is, "Oh that SAP workload took 30 hours and now it takes 30 minutes?" We have public references that will say that. "Oh, you mean I can use eight to ten times less storage for the same money?" Yes, and we have public references that will say that. So that's what it's really about, so storage is really more from really a speeds and feeds Nuremberger sort of thing, and now all the Nurembergers are doing AI and Caffe and TensorFlow and all of that, they're all hackers, right? It used to be storage guys who used to do that and to a lesser extent server guys and definitely networking guys. That's all shifted to the software side so you got to talk the languages. What can we do with Hortonworks? By the way we were named in Q1 of 2018 as the Hortonworks infrastructure partner of the year. We work with Hortonworks all time, at all levels, whether it be with our channel partners, whether it be with our direct end users, however the customer wants to consume, we work with Hortonworks very closely and other providers as well in that big data analytics and the AI infrastructure world, that's what we do. >> So the containerizations side of the IBM AI stack, then the containerization capabilities in Hortonworks Data Platform 3.0, can you give us a sense for how you plan to, or do you plan at IBM, to work with Hortonworks to bring these capabilities, your reference architecture, into more, or bring their environment for that matter, into more of an alignment with what you're offering? >> So we haven't an exact decision of how we're going to do it, but we interface with Hortonworks on a continual basis. >> Yeah. >> We're working to figure out what's the right solution, whether that be an integrated solution of some type, whether that be something that we do through an adjunct to our reference architecture or some reference architecture that they have but we always make sure, again, we are their partner of the year for infrastructure named in Q1, and that's because we work very tightly with Hortonworks and make sure that what we do ties out with them, hits the right applications, workloads and use cases, the big data world, the analytic world and the AI world so that we're tied off, you know, together to make sure that we deliver the right solutions to the end user because that's what matters most is what gets the end users fired up, not what gets Hortonworks or IBM fired up, it's what gets the end users fired up. >> When you're trying to get into the head space of the CIO, and get your message out there, I mean what is it, what would you say is it that keeps them up at night? What are their biggest pain points and then how do you come in and solve them? >> I'd say the number one pain point for most CIOs is application delivery, okay? Whether that be to the line of business, put it this way, let's take an old workload, okay? Let's take that SAP example, that CIO was under pressure because they were trying, in this case it was a giant retailer who was shipping stuff every night, all over the world. Well guess what? The green undershirts in the wrong size, went to Paducah, Kentucky and then one of the other stores, in Singapore, which needed those green shirts, they ended up with shoes and the reason is, they couldn't run that SAP workload in a couple hours. Now they run it in 30 minutes. It used to take 30 hours. So since they're shipping every night, you're basically missing a cycle, essentially and you're not delivering the right thing from a retail infrastructure perspective to each of their nodes, if you will, to their retail locations. So they care about what do they need to do to deliver to the business the right applications, workloads and use cases on the right timeframe and they can't go down, people get fired for that at the CIO level, right? If something goes down, the CIO is gone and obviously for certain companies that are more in the modern mode, okay? People who are delivering stuff and their primary transactional vehicle is the internet, not retail, not through partners, not through people like IBM, but their primary transactional vehicle is a website, if that website is not resilient, performant and always reliable, then guess what? They are shut down and they're not selling anything to anybody, which is to true if you're Nordstroms, right? Someone can always go into the store and buy something, right, and figure it out? Almost all old retailers have not only a connection to core but they literally have a server and storage in every retail location so if the core goes down, guess what, they can transact. In the era of the internet, you don't do that anymore. Right? If you're shipping only on the internet, you're shipping on the internet so whether it be a new workload, okay? An old workload if you're doing the whole IOT thing. For example, I know a company that I was working with, it's a giant, private mining company. They have those giant, like three story dump trucks you see on the Discovery Channel. Those things cost them a hundred million dollars, so they have five thousand sensors on every dump truck. It's a fricking dump truck but guess what, they got five thousand sensors on there so they can monitor and make sure they take proactive action because if that goes down, whether these be diamond mines or these be Uranium mines or whatever it is, it costs them hundreds of millions of dollars to have a thing go down. That's, if you will, trying to take it out of the traditional, high tech area, which we all talk about, whether it be Apple or Google, or IBM, okay great, now let's put it to some other workload. In this case, this is the use of IOT, in a big data analytics environment with AI based infrastructure, to manage dump trucks. >> I think you're talking about what's called, "digital twins" in a networked environment for materials management, supply chain management and so forth. Are those requirements growing in terms of industrial IOT requirements of that sort and how does that effect the amount of data that needs to be stored, the sophistication of the AI and the stream competing that needs to be provisioned? Can you talk to that? >> The amount of data is growing exponentially. It's growing at yottabytes and zettabytes a year now, not at just exabytes anymore. In fact, everybody on their iPhone or their laptop, I've got a 10GB phone, okay? My laptop, which happens to be a Power Book, is two terabytes of flash, on a laptop. So just imagine how much data's being generated if you're doing in a giant factory, whether you be in the warehouse space, whether you be in healthcare, whether you be in government, whether you be in the financial sector and now all those additional regulations, such as GDPR in Europe and other regulations across the world about what you have to do with your healthcare data, what you have to do with your finance data, the amount of data being stored. And then on top of it, quite honestly, from an AI big data analytics perspective, the more data you have, the more valuable it is, the more you can mine it or the more oil, it's as if the world was just oil, forget the pollution side, let's assume oil didn't cause pollution. Okay, great, then guess what? You would be using oil everywhere and you wouldn't be using solar, you'd be using oil and by the way you need more and more and more, and how much oil you have and how you control that would be the power. That right now is the power of data and if anything it's getting more and more and more. So again, you always have to be able to be resilient with that data, you always have to interact with things, like we do with Hortonworks or other application workloads. Our AI reference architecture is another perfect example of the things you need to do to provide, you know, at the base infrastructure, the right foundation. If you have the wrong foundation to a building, it falls over. Whether it be your house, a hotel, this convention center, if it had the wrong foundation, it falls over. >> Actually to follow the oil analogy just a little bit further, the more of this data you have, the more PII there is and it usually, and the more the workloads need to scale up, especially for things like data masking. >> Right. >> When you have compliance requirements like GDPR, so you want to process the data but you need to mask it first, therefore you need clusters that conceivably are optimized for high volume, highly scalable masking in real time, to drive the downstream app, to feed the downstream applications and to feed the data scientist, you know, data lakes, whatever, and so forth and so on? >> That's why you need things like Incredible Compute which IBM offers with the Power Platform. And why you need storage that, again, can scale up. >> Yeah. >> Can get as big as you need it to be, for example in our reference architecture, we use both what we call Spectrum Scale, which is a big data analytics workload performance engine, it has multiple threaded, multi tasking. In fact one of the largest banks in the world, if you happen to bank with them, your credit card fraud is being done on our stuff, okay? But at the same time we have what's called IBM Cloud Object Storage which is an object store, you want to take every one of those searches for fraud and when they find out that no one stole my MasterCard or the Visa, you still want to put it in there because then you mine it later and see patterns of how people are trying to steal stuff because it's all being done digitally anyway. You want to be able to do that. So you A, want to handle it very quickly and resiliently but then you want to be able to mine it later, as you said, mining the data. >> Or do high value anomaly detection in the moment to be able to tag the more anomalous data that you can then sift through later or maybe in the moment for realtime litigation. >> Well that's highly compute intensive, it's AI intensive and it's highly storage intensive on a performance side and then what happens is you store it all for, lets say, further analysis so you can tell people, "When you get your Am Ex card, do this and they won't steal it." Well the only way to do that, is you use AI on this ocean of data, where you're analyzing all this fraud that has happened, to look at patterns and then you tell me, as a consumer, what to do. Whether it be in the financial business, in this case the credit card business, healthcare, government, manufacturing. One of our resellers actually developed an AI based tool that can scan boxes and cans for faults on an assembly line and actually have sold it to a beer company and to a soda company that instead of people looking at the cans, like you see on the Food Channel, to pull it off, guess what? It's all automatically done. There's no people pulling the can off, "Oh, that can is damaged" and they're looking at it and by the way, sometimes they slip through. Now, using cameras and this AI based infrastructure from IBM, with our storage underneath the hood, they're able to do this. >> Great. Well Eric thank you so much for coming on theCUBE. It's always been a lot of fun talking to you. >> Great, well thank you very much. We love being on theCUBE and appreciate it and hope everyone enjoys the DataWorks conference. >> We will have more from DataWorks just after this. (techno beat music)

Published Date : Jun 19 2018

SUMMARY :

in the heart of Silicon He is the Chief Marketing Officer and talk to all of theCUBE analysts in the sense of you've been on theCUBE I know I'm in the top five, Exactly and often And Stu and John gave me a hard time about You're in California with and you were saying one of the points and it always needs to be available, that you are launching, for the data driven, and what you need to do of the stack, it's like in in the container environment. Rob Thomas in fact demoed it And you could create- and that's a freebie, by the Sure, so nobody cares And him, he might care. and the AI infrastructure So the containerizations So we haven't an exact decision so that we're tied off, you know, together and the reason is, they of the AI and the stream competing and by the way you need more of this data you have, And why you need storage that, again, my MasterCard or the Visa, you still want anomaly detection in the moment at the cans, like you of fun talking to you. the DataWorks conference. We will have more from

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Adrian Chang, Oracle Marketing Cloud - Oracle Modern Customer Experience #ModernCX - #theCUBE


 

(energetic music) >> Voiceover: Live from Las Vegas, it's theCUBE, Covering Oracle Modern Customer Experience 2017. Brought to you by Oracle. (upbeat music) >> Hey, welcome back and we are here live in Las Vegas at Mandalay Bay Convention Center for Oracle's Modern C-EX, Modern Customer Experience Event. Part of Oracle Marketing Cloud, I am John Furrier with SiliconANGLE. My co-host Peter Burris, head of research at Wikibon.com. Our next guest is Adrian Chang, director of customer programs at Oracle Marketing Cloud, also emcee of the Markie and big part of that program. Congratulations on the success of the Markie's awards, which were given out last night. I read your blog post on the site this morning. >> Thank you >> Great to see you again and welcome back to theCUBE. >> Thank you for having me, always great to be here and I love Modern Customer Experience and that marketing is a part of it. >> It's really been a great transformation this year. The simplification of just now narrowing it down to one simple value president, Modern Customer Experience, which encapsulates a lot of stuff. Quickly review what that is and then let's talk about the Markies. >> Absolutely, so I start with the Markies and so we have a history of celebrating excellence in data-driven modern marketing. So, this program has grown tremendously over the past 11 years. When I look at the submissions, they're customers that are focusing on acquisition and loyalty retention. And they read these stories all the time and spend weeks preparing the submissions. So this event is all about how can we share our intent to have our customers have a good experience as part of Oracle and then how can we help them delight their customers in delivering experiences and create value at every touch point. >> One of the thing I really like about the change in the name from Modern Marketing Experience to Modern Customer Experience is you move from the process, the function, to the outcome and the result. So how are the Markies reflecting that this year? >> Absolutely. So if you think about where we started, again it was six categories celebrating excellence in B2B marketing and reaching folks behind a single device, their laptop computer. So cut to 2017, the customers' preferences, their activities are fluid. So great marketing requires you to use a series of channels to reach them everywhere. And so, marketers have to balance brand with action, and then also deliver on intent. So the Markies have had to evolve to think about the habits. So the account-based marketing team of the year was a new award that we gave out that really represented the intent. Are people actually doing this, we have tons of great stories. So we have to balance out a bit of the usage of the product and the technology and embracing the new strategies and what's current within the marketplace. >> So the future of marketing as it goes into data, that's been the theme here. All of our interviews, day one. And certainly the key notes, even Mark was giving a great specific example. Now data is at the heart of it. Adaptive intelligence is the theme. You can see the dots are connecting the convergence of where the Markies are showing traction are some pretty interesting use cases. Any notables you'd like to share that kind of highlight that data piece? >> Absolutely. So our winner for best email campaign was from Jetstar and they're an airline in Austraila. What's great is they have been able to find ways to-- so when you get an email about travel, sometimes you book at one particular point and your preferences and relationship with that airline may change. Your travel destinations may change. So the fact that they can optimize the information at the time of send, sending the weather, curing you to maybe upsell and look at other opportunities to have a pleasant experience, that's amazing. So Laura Ipsen spent some time talking about how we at Oracle are looking to evolve preferences, so going from one to many, to one to one, and the hallmark which is one to you. And I think the Jetstar campaign, they use Oracle responses as a perfect example of that. The first award that we gave out was to Covance for account-based team of the year and by doing, setting up an account-based marketing strategy, putting it in place, getting all the stakeholders in sales in place, getting the discipline on the content. They were able to increase their engagement with key accounts by a significant margin. And they were delighted to be among those that are partners to celebrate that achievement. >> Adrian, I want you to talk about, for the folks that are watching who aren't here, the buzz in the hallways, because the hallways is always a good conversation, certainly the lunch table as well. I'll include that technically at the hallway, but people sitting down. >> Absolutely. >> AI has been front and center, but it's not being painted over, white-washed, "Oh! AI! It's hot so let's jump on the bandwagon." There's some real tech involved. What has been the reaction from customers in used cases that you hear in the hallways? >> Customers are excited about it. I think for a lot of our customers had the opportunity to hear Mark Heard talk about it. Where he embraced and said, "If you think about AI at the core, it's computing done real fast to help people make really rich decisions about what to do next." And so, I think our customers are still grappling with all the technology and how to get value out of their core platforms, how do they deliver on their initial objective and then we have a subset of our most mature, most excited, who are starting to put those data plots together, and start getting more predictive and allow the machine to do the work for you. But in order for you to have, to even think about it, you've got to have great, you've got to fill the cup with great data. And I think people are still getting there so that the machine isn't biased and you don't make the wrong decision about how to treat your customers. >> So just notable trending tweets I wanted to share with you, and again, get your reactions, because this is speaking to the customer in used case. One was from a part from our digitizing panel, Mark wrote "According to digitize, if you're not looking to use chatbots and AI, you're going to be out of business hashtag MME17", a little bit of that, legacy there. And then hashtag Modern CX. And the other one is, "Netflix is a great example of a company creating content combined with powerful AI targeting programs." Little bit of sample of some of the things we're seeing. Chatbots. It's a new interface. It's a new way to use data. Netflix content, which modern marketers need content in this platform. Picking a Netflix approach. So, kind of begs a question. Chatbots? Netflix? Kind of modern. Email? Old? So how do you get a marketer to get you to use the reliability of hardened critical infrastructure, like email, not going away anytime soon but, it's going to be one dimension of Netflix. Content marketing. Binge watching. All this content out there. Netflix and chatbots interface. Your thoughts? >> So my thought is I am, so I was in the room when I watched the chatbot piece and I loved the fact of the, we could live in a world where we could have a fluid customer experience anywhere. You can ask a question. I also support our communities where you ask a question and know you're automatically going to get an answer to the algorithm. So that delivers on that one to you scenario. So I'm super excited about it. When I look at the Netflix example, even to get the information on what the recommendation engine should be, you still need a lot of data. And you still need to know what are the habits of your customers who even land on that decision tree. So I love the fact that folks are thinking Netflix and thinking content, but that chatbot thing, oh my goodness. When people start doing that I can't wait to see those customers that win those Markies. >> Peter: But they have to do it right. >> They have to do it right. >> One of the dangers that marketing always faces is the idea that it's all about collecting information, having the customer give something to me and not giving something valuable in return. >> Adrian: Absolutely >> And the challenge that I see with chatbots is, and I think you agree John, is are chatbots going to be used to further automate information collection at the expense of really presenting value. The new marketing, the Modern Customer Experience, has to be focused on are we delivering value with the customer at every single interaction, not is the customer doing more for us inside of marketing. What do you think about that? >> So I agree. Cause if we do not know that we are creating value and that we're not, that we're adding friction into the problem, you pour that into your algorithm, there's going to bias. And so then, you can't make a decision about how to feed information into the machine and not have the right information that says we don't have the right region, we don't understand the behavior across all products. You can't have bias in the model at all. It has to be complete for you to then look at your customer base holistically. >> Yeah, we don't want to better automate bad marketing practices. >> Adrian: Absolutely. >> We want to use these technologies to continuously drive to use a famous person's parlance a more perfect union between this marketer and the buyer. >> Adrian: Absolutely. >> John: Well you got a great article up on Martechseries, "This year has gone above and beyond, fully leverage and most innovative marketing technology to create customer centric campaigns that deliver outstanding results that Laurie has spent, Senior Vice President Chairman." Okay that's obviously marketing packaging for the quote, from PR, but what she's getting at is customer centric. Again this is the theme, multitude of technologies now in the platform. Very interesting. Are customers responding well to this platform and are they seeing the need to stand up thing quickly in these campaigns? >> Adrian: Absolutely. They are finding that there's more pressure to get interim value. They are absolutely buying into the platform message and we have quite a few customers who also were recognized for the use of multiple products and multiple partner related applications. And so we're actually seeing a nice trend in both. To do great marketing, part of the messaging, or part of Laura's talk track from today was people are freaked out about the data but if you find a way to harness it, you'll create experiences where you'll stop chasing the customers. They'll start chasing you cause you'll find the right way to have the conversation with them. >> And word of mouth gets around too. I'm going to ask you to pick your favorite child of the awards. Was there one that jumps out, without alienating all the winners. Is there one that you like? >> This is a really, really hard question for me. As you know I read all the submissions, I play a heavy role in writing the speech. So it's really hard. >> John: Here we go, the preamble, not picking one. Here we go! I don't like to pick my favorite child. No parent likes to do that. >> I don't like to pick my favorite child. This is a really, really hard thing. >> Okay, audience favorite? >> How are they different this year from last year? How about that? Or is there something general that shows, that kind of reinforces some of this customer experience or are you seeing a progress in how the Markies are evolving? >> Yeah, that's a great question. So I'm happy to answer that one. And so for the first time since 2012, we brought back the dinner. And so having the Markies and our customer celebration, it shows our intent as Oracle Marketing Cloud, for our customers as well. That we love and want them to have a great week and want to celebrate their accomplishments and get other people to the winning circle. So being at a table and feeling that energy, getting that opportunity to sit with an executive or sit with a member of a team is a really, really great lift to then come to an event with over 4,000 people and feel warm and feel included. So I think that was an important part, that was a huge feel. I mentioned that we added a account-based team of the year award. Again, you couldn't be in B2B marketing and hide from account-based marketing. It's everywhere. We also delivered an overall customer experience award, so we had two customer-related awards and we created one category. I personally the videos, so our best video submission categories won where the viewers got to pick. And I would say the reaction of Juniper taking home two trophies last night, if I had to pick one, because that one had bit of a go to it. >> Peter: Juniper? >> Juniper Networks. >> Really? >> John: Two awards. >> They won two awards last night. I loved their reaction as well as the reaction of our folks from Brazil. You know, really, really great stories from their use of data. We also had Chris Diaz, our leader of the year, who not only led really strong customer experience transformations across marketing, sales, and service. >> This is the CMO of Time Warner? >> Uh no, that's Kristin. >> Kristi? >> Uh yeah, that's Kristin at Time Warner. I'm talking about Chris Diaz who is also driving sustainability efforts in Africa. It's really transformational. Huge, huge advocate of Oracle. As is the team at Kenya Airways. There's some really feel good moments. There are really exciting moments, you can feel it. People were hugging each other. People were laughing. People brought their own noise cannons and sparklers. >> Who doesn't love an awards show? When you're giving out great trophies? >> You know, we always get the comparison to the Oscars, and so this year it felt like the Golden Globes. >> So you handed out the wrong award. >> So you had a couple of times when the winner, when the wrong winner was >> We actually did not have that but we actually did joke about it. We embraced it. So Kayla Sullivan helped us with the awards distribution. And that was fun. The trophy itself is actually made by the same designer who makes the Emmy. And I believe I said that last year. But the feel was more like the Golden Globes. There was refreshments and opportunity to have there. >> John: It was well done. It looked great on photos. Big crowd. You had the jibs and all the cameras. Great camera angles. >> We had a drone do the delivery so we played with some new drone deliveries >> John: That's the next one up on Amazon delivering your packages by drone, you know, dropping in. >> Absolutely. Absolutely. So we had one delivered via tweet and then we had one that was delivered via drone and so we covered all their risk management pieces in advance. And I'm just super happy that InVision, who partnered with us in hosting and producing the event, were able to get some of these things cleared. So our intent was let's be futuristic, let's be digital, let's be now. And they managed to incorporate that into the show for us. >> Well, Adrian. Congratulations on all the great work with the Markies and continued success. What's next next year? What do you guys look, I know, processing, you got to have a little fun now. Relax a little bit. But as you look forward to next year's Markies, you're watching, you've got your submission. It's kind of like the college admissions. You want to know who the judge is. Here he is. What are you looking for for next year? Have you though about it, any ideas? Random thoughts? >> Yeah, it's a great question. It takes us about seven months to actually plan. To sit down and actually plan our calendar from submission peer, the content. And so, we tend to create the categories that are aspirational. So we likely will figure out what's the best way to incorporate the trend. Get them out early to drive customers to get really excited about what's next. We're talking about AI now. What will we be talking about in six months? I'm looking forward to to hearing more customers share about the value their getting from Marketing Cloud, the new channels that they're using, how they've overcome barriers within their organizations to do new and great things. And really focus on taking these stories and telling them all year. >> And that's speed and empowerment. >> Yes. Absolutely. >> Adrian Chang. Here in theCUBE back with Markies update with great commentary. Great to see you. Looking great, love the outfit. Lookin' good, as always. Thank you for taking the time and sharing your perspective. >> Thanks for having me. >> Peter: Took me a while to figure out what that was though The flower. What is that thing? From here it's like >> It's good. Looks good on you. Adrian Chang, here inside theCUBE bringing all the Markie action, all the great coverage. It's theCUBE. We'll have more live coverage after the short break. (energetic music)

Published Date : Apr 26 2017

SUMMARY :

Brought to you by Oracle. also emcee of the Markie and big part of that program. and that marketing is a part of it. to one simple value president, and so we have a history of celebrating excellence the process, the function, to the outcome and the result. So the Markies have had to evolve So the future of marketing as it goes into data, and the hallmark which is one to you. I'll include that technically at the hallway, It's hot so let's jump on the bandwagon." and allow the machine to do the work for you. And the other one is, "Netflix is a great example So that delivers on that one to you scenario. having the customer give something to me And the challenge that I see with chatbots is, and not have the right information that says Yeah, we don't want to better automate to use a famous person's parlance and are they seeing the need to stand up thing quickly They are finding that there's more pressure to get I'm going to ask you to pick your favorite child As you know I read all the submissions, I don't like to pick my favorite child. I don't like to pick my favorite child. And so having the Markies and our customer celebration, We also had Chris Diaz, our leader of the year, As is the team at Kenya Airways. and so this year it felt like the Golden Globes. But the feel was more like the Golden Globes. You had the jibs and all the cameras. John: That's the next one up on Amazon delivering and producing the event, It's kind of like the college admissions. the new channels that they're using, Looking great, love the outfit. What is that thing? We'll have more live coverage after the short break.

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Allen Crane, USAA & Glenn Finch | IBM CDO Strategy Summit 2017


 

(orchestral music) (energetic music) >> Narrator: Live from Fisherman's Wharf in San Francisco. It's the Cube! Covering IBM Chief Data Officer Strategy Summit, Spring 2017. Brought to you by IBM. >> Hey, welcome back everybody! Jeff Frick here with the Cube. I am joined by Peter Burris, the Chief Research Officer at Wikibon. We are in downtown San Francisco at the IBM Chief Data Officer Strategy Summit 2017. It's a lot of practitioners. It's almost 200 CDOs here sharing best practices, learning from the IBM team and we're excited to be here and cover it. It's an ongoing series and this is just one of many of these summits. So, if you are a CDO get involved. But, the most important thing is to not just talk to the IBM folks but to talk to the practitioners. And, we are really excited for our next segment to be joined by Allen Crane. He is the assistant VP from USAA. Welcome! >> Thank you. >> Jeff: And also Glenn Finch. He is the Global Managing Partner Cognitive and Analytics at IBM. Welcome! >> Thank you, thank you both. >> It's kind of like the Serengeti of CDOs here, isn't it? >> It is. It's unbelievable! >> So, the overview Allen to just kind of, you know, this opportunity to come together with a bunch of your peers. What's kind of the vibe? What are you taking away? I know it's still pretty early on but it's a cool little event. It's not a big giant event in Vegas. You know, it's a smaller of an affair. >> That's right. I've been coming to this event for the last three years since they had it and started it when Glenn started this event. And, truly it's probably the best conference I come to every year because it's practitioners. You don't have a lot of different tracks to get lost in. This is really about understanding from your own peers what they are going through. Everything from how are you organizing the organization? What are you focused on? Where are you going? And all the way through talent discussions and where do you source these jobs? >> What is always a big discussion is organizational structure which on one hand side is kind of, you know, who really cares? But is vitally important as to how it is executed, how the strategy gets implemented in the business groups. I wonder if you can tell us a little bit about how it works at USAA, your role specifically and how does a Chief Data Officer eat it, work his way into the business bugs trying to make better decisions. >> Absolutely, we are a 27 billion dollar 95 year old company that focuses on the military and their members and their families. And our members, we offer a full range of financial services. So, you can imagine we've got lots of data offices for all of our different lines of business. Because of that, we have elected to go with what we call a hub and spoke model where we centralize certain functions around governance, standards, core data assets, and we subscribe to those things from a standard standpoint so that we're in the spokes like I am. I run all of the data analytics for all of our channels and how our members interact with USAA. So, we can actually have standards that we can apply in our own area as does the bank, as does the insurance company, as does the investments company. And so, it enables the flexibility of business close to the business data and analytics while you also sort of maintain the governance layer on top of that. >> Well, USAA has been at the vanguard of customer experience for many years now. >> Yes >> And the channel world is now starting to apply some of the lessons learned elsewhere. Are you finding that USAA is teaching channels how to think about customer experience? And if so, what is your job as an individual who's, I presume, expected to get data about customer experience out to channel companies. How is that working? >> Well, it's almost like when you borrow a page back from history and in 1922 when we were founded the organization said service is the foundation of our industry. And, it's the foundation of what we do and how we message to our membership. So, take that forward 95 years and we are finding that with the explosion in digital, in mobile, and how does that interact with the phone call. And, when you get a document in the mail is it clear? Or do you have to call us, because of that? We find that there's a lot of interplay between our channels, that our channels had tended to be owned by different silo leaders that weren't really thinking laterally or horizontally across the experience that the member was facing. Now, the member is already multichannel. We all know this. We are all customers in our own right, getting things in the mail. It's not clear. Or getting things in an e-mail. >> Absolutely. >> Or a mobile notice or SMS text message. And, this is confusing. I need to talk to somebody about this. That type of thing. So, we're here to really make sure that we're providing as direct interaction and direct answers and direct access with our membership to make those as compelling experiences as we possibly can. >> So, how is data making that easier? >> We're bringing the data altogether is the first thing. We've got to be able to make sure that our phone data is in the same place as our digital data, is in the same place as our document data, is in the same place as our mobile data because when you are not able to see that path of how the member got here, you're kind of at a loss of what to fix. And so, what we're finding is the more data that we're stitching together, these are really just an extension of a conversation with the membership. If someone is calling you after being online within just a few minutes you kind of know that that's an extension of the same intent that they had before. >> Right. >> So, what was it upfront and upstream that caused them to call. What couldn't you answer for the member upstream that now required a phone call and possibly a couple of transfers to be able to answer that phone interaction. So, that's how we start with bringing all the data together. >> So, how are you working with other functions within USAA to ensure that the data that the channel organizations to ensure those conversations can persist over time with products and underwriters and others that are actually responsible for putting forward the commitments that are being made. >> Yeah. >> How is that coming together? >> I think, simply put it, it's a pull versus push. So, showing the value that we are providing back to our lines of business. So, for example, the bank line of business president looks to us to help them reduce the number of calls which affects their bottom line. And so, when we can do that and show that we are being more efficient with our member, getting them the right place to the right MSR the first time, that is a very material impact in their bottom line. So, connecting into the things that they care about is the pull factor that we often called, that gets us that seat at the table that says we need this channel analyst to come to me and be my advisor as I'm making these decisions. >> You know what, I was just going to say what Allen is describing is probably what I think is the most complicated piece of data analytics, cognitive, all that stuff. That last mile of getting someone whether it's a push or pull. >> Right. >> Fundamentally, you want somebody to do something different whether it's an end consumer, whether it's a research analyst, whether it's a COO or a CFO, you need to do something that causes them to make a different decision. You know, ten years ago as we were just at the dawn of a lot of this new analytical techniques, everybody was focused on amassing data and new machine learning and all that stuff. Now, quite honestly, a lot of that stuff is present and it's about how do we get someone who adapts something that feels completely wrong. That's probably the hardest. I mean, and I joke with people, but you know that thing when your spouse finds something in you and says something immediately about it. >> No, no. >> That's right. (laughs) That's the first thing and you guys are probably better men than I am. The first I want to do is say "prove them wrong". Right? That's the same thing when an artificial intelligence asset tries to tell a knowledge worker what to do. >> Right, right. >> Right? That's what I think the hardest thing is right now. >> So, is it an accumulative kind of knock down or eventually they kind of get it. Alright, I'll stop resisting. Or, is it a AHA moment where people come at 'cause usually for changing behavior, usually there's a carrot or a stick. Either you got to do it. >> Push or pull. >> And the analogy, right. Or save money versus now really trying to transform and reorganize things in new, innovative ways that A. Change the customer experience, but B. Add new revenue streams and unveil a new business opportunity. >> I think it's finding what's important to that business user and sometimes it's an insight that saves them money. In other cases, it's no one can explain to me what's happening. So, in the case of Call Centers for example, we do a lot of forecasting and routing work, getting the call to the right place at the right time. But often, a business leader may say " I want to change the routing rules". But, the contact center, think of it as a closed environment, and something that changes over here, actually ultimately has an effect over here. And, they may not understand the interplay between if I move more calls this way, well those calls that were going there have to go some place else now, right? So, they may not understand the interplay of these things. So, sometimes the analyst comes in in a time of crisis and sometimes it's that crisis, that sort of shared enemy if you will, the enemy of the situation, that is, not your customer. But, the enemy of the shared situation that sort of bonds people together and you sort of have that brothers in arms kind of moment and you build trust that way. It comes down to trust and it comes down to " you have my best interest in mind". And, sometimes it's repeating the message over and over again. Sometimes, it's story telling. Sometimes, it's having that seat at the table during those times of crisis, but we use all of those tools to help us earn that seat at the table with our business customer. >> So, let me build on something that you said (mumbles) 'Cause it's the trying to get many people in the service experience to change. Not just one. So, the end goal is to have the customer to have a great experience. >> Exactly. >> But, the business executive has to be part of that change. >> Exactly. >> The call center individual has to be part of that change. And, ultimately it's the data that ensures that that process of change or those changes are in fact equally manifest. >> Right. >> You need to be across the entire community that's responsible for making something happen. >> Right. >> Is that kind of where your job comes in. That you are making sure that that experience that's impacted by multiple things, that everybody gets a single version of the truth of the data necessary to act as a unit? >> Yeah, I think data, bringing it all together is the first thing so that people can understand where it's all coming from. We brought together dozens of systems that are the systems of record into a new system of record that we can all share and use as a collective resource. That is a great place to start when everyone is operating of the same fact base, if you will. Other disciplines like process disciplines, things that we call designed for measurability so that we're not just building things and seeing how it works when we roll it out as a release on mobile or a release on .com but truly making sure that we are instrumenting these new processes along the way. So, that we can develop these correlations and causal models for what's helping, what's working and what's not working. >> That's an interesting concept. So, you design the measurability in at the beginning. >> I have to. >> As opposed to kind of after the fact. Obviously, you need to measure-- >> Are you participating in that process? >> Absolutely. We have and my role is mainly more from and educational standpoint of knowing why it's important to do this. But, certainly everyone of our analysts is deeply engaged in project work, more upstream than ever. And now, we're doing more work with our design teams so that data is part of the design process. >> You know, this measurability concept, incredibly important in the consultancy as well. You know, for the longest time all the procurement officers said the best thing you can do to hold consults accountable is a fixed priced, milestone based thing, that program number 32 was it red or green? And if it's green, you'll get paid. If not, I am not paying you. You know, we in the cognitive analytics business have tried to move away from that because if we, if our work is not instrumented the same way as Allen's, if I am not looking at that same KPI, first of all I might have project 32 greener than grass, but that KPI isn't moving, right? Secondly, if I don't know that KPI then I am not going to be able to work across multiple levels in an organization, starting often times at the sea suite to make sure that there is a right sponsorship because often times somebody want to change routing and it seems like a great idea two or three levels below. But, when it gets out of whack when it feels uncomfortable and the sea suite needs to step in, that's when everybody's staring at the same set of KPIs and the same metrics. So, you say "No, no. We are going to go after this". We are willing to take these trade offs to go after this because everybody looks at the KPI and says " Wow. I want that KPI". Everybody always forgets that "Oh wait. To get this I got to give these two things up". And, nobody wants to give anything up to get it, right? It is probably the hardest thing that I work on in big transformational things. >> As a consultant? >> Yeah, as a consultant it's to get everybody aligned around. This is what needle we want to move, not what program we want to deliver. Very hard to get the line of business to define it. It's a great challenge. >> It's interesting because in the keynote they laid out exactly what is cognitive. And the 4 E's, I thought they were interesting. Expert. Expression. It's got to be a white box. It's got to be known. Education and Evolution. Those are not kind of traditional consulting benchmarks. You don't want them to evolve, right? >> Right. >> You want to deliver on what you wrote down in the SOW. >> Exactly. >> It doesn't necessarily have a white box element to it because sometimes a little hocus pocus, so just by its very definition, in cognitive and its evolutionary nature and its learning nature, it's this ongoing evolution of it or the processes. It's not a lock it down. You know, this is what I said I'd deliver. This is what we delivered 'cause you might find new things along the path. >> I think this concept of evolution and one of the things we try to be very careful with when you have a brand and a reputation, like USAA, right? It's impeccable, it's flawless, right? You want to make sure that a cognitive asset is trained appropriately and then allowed to learn appropriate things so it doesn't erode the brand. And, that can happen so quickly. So, if you train a cognitive asset with euphemisms, right? Often times the way we speak. And then, you let it surf the internet to get better at using euphemisms, pretty soon you've got a cognitive asset that's going to start to use slang, use racial slurs, all of those things (laughs) because-- No, I am serious. >> Hell you are. >> That's not good. >> Right, that's not bad so, you know, that's one of the things that Ginni has been really, really careful with us about is to make sure that we have a cognitive manifesto that says we'll start here, we'll stop here. We are not going to go in the Ex Machina territory where full cognition and humans are gone, right? That's not what we're going to do because we need to make sure that IBM is protecting the brand reputation of USAA. >> Human discretion still matters. >> Absolutely. >> It has to. >> Alright. Well, we are out of time. Allen, I wanted to give you the last word kind of what you look forward to 2017. We're already, I can't believe we're all the way through. What are some of your top priorities that you are working on? Some new exciting things that you can share. >> I think one of the things that we are very proud of is our work in the text analytics space and what I mean by that is we're ingesting about two years of speech data from our call center every day. And, we are mining that data for emergent trends. Sometimes you don't know what you don't know and it's those unknown unknowns that gets you. They are the things that creep up in your data and you don't really realize it until they are a big enough issue. And so, this really is helping us understand emerging trends, the emerging trend of millennials, the emerging trend of things like Apple Pay, and it also gives us insight as to how our own MSRs are interacting with our members in a very personal level. So, beyond words and language we're also getting into things like recognizing things like babies crying in the background, to be able to detect things like life events because a lot of your financial needs center around life events. >> Right, right. >> You know, getting a new home, having another child, getting a new car, those types of things. And so, that's really where we're trying to bring the computer more as an assistant to the human, as opposed to trying to replace the human. >> Right. >> But, it is a very exciting space for us and areas that we are actually able to scale about 100 times faster than we were fast before. >> Wow. That's awesome. We look forward to hearing more about that and thanks for taking a few minutes to stop by. Appreciated. >> Peter: Thanks, guys. >> Allen: Thank you. >> Alright. Thank you both. With Peter Burris, I'm Jeff Frick. You're watching the Cube from the IBM Chief Data Officer Strategy Summit, Spring 2017. Thanks for watching. We'll be back after the short break. (upbeat music)

Published Date : Mar 29 2017

SUMMARY :

Brought to you by IBM. He is the assistant VP from USAA. He is the Global Managing Partner Cognitive and Analytics It's unbelievable! to just kind of, you know, And all the way through talent discussions in the business groups. that focuses on the military Well, USAA has been at the vanguard of customer experience And the channel world is now starting that the member was facing. I need to talk to somebody about this. is in the same place as our digital data, that caused them to call. that the channel organizations So, showing the value that we are providing is the most complicated piece of data analytics, that causes them to make a different decision. That's the first thing and you guys are probably better men That's what I think the hardest thing is right now. So, is it an accumulative kind of knock down that A. Change the customer experience, and it comes down to " you have my best interest in mind". So, the end goal is to have the customer But, the business executive has to be part The call center individual has to be part of that change. You need to be across the entire community of the data necessary to act as a unit? that are the systems of record at the beginning. As opposed to kind of after the fact. so that data is part of the design process. and the sea suite needs to step in, Very hard to get the line of business to define it. It's interesting because in the keynote they laid out 'cause you might find new things along the path. and one of the things we try to be very careful with We are not going to go in the Ex Machina territory that you are working on? They are the things that creep up in your data the computer more as an assistant to the human, and areas that we are actually able to scale and thanks for taking a few minutes to stop by. from the IBM Chief Data Officer Strategy Summit,

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Mike Gualtieri, Forrester Research - Spark Summit East 2017 - #sparksummit - #theCUBE


 

>> Narrator: Live from Boston, Massachusetts, this is the Cube, covering Spark Summit East 2017, brought to you by Databricks. Now, here are your hosts, Dave Vellante and George Gilbert. >> Welcome back to Boston, everybody, where the town is still euphoric. Mike Gualtieri is here, he's the principal analyst at Forrester Research, attended the parade yesterday. How great was that, Mike? >> Yes. Yes. It was awesome. >> Nothing like we've ever seen before. All right, the first question is what was the bigger shocking surprise, upset, greatest win, was it the Red Sox over the Yankees or was it the Superbowl this weekend? >> That's the question, I think it's the Superbowl. >> Yeah, who knows, right? Who knows. It was a lot of fun. So how was the parade yesterday? >> It was magnificent. I mean, it was freezing. No one cared. I mean--but it was, yeah, it was great. Great to see that team in person. >> That's good, wish we could talk, We can, but we'll get into it. So, we're here at Spark Summit, and, you know, the show's getting bigger, you're seeing more sponsors, still heavily a technical audience, but what's your take these days? We were talking off-camera about the whole big data thing. It used to be the hottest thing in the world, and now nobody wants to have big data in their title. What's Forrester's take on that? >> I mean, I think big data-- I think it's just become mainstream, so we're just back to data. You know, because all data is potentially big. So, I don't think it's-- it's not the thing anymore. I mean, what do you do with big data? You analyze it, right? And part of what this whole Spark Summit is about-- look at all the sessions. Data science, machine learning, streaming analytics, so it's all about sort of using that data now, so big data is still important, but the value of big data comes from all this advanced analytics. >> Yeah, and we talked earlier, I mean, a lot of the value of, you know, Hadoop was cutting costs. You know, you've mentioned commodity components and reduction in denominator, and breaking the need for some kind of big storage container. OK, so that-- we got there. Now, shifting to new sources of value, what are you spending your time on these days in terms of research? >> Artificial intelligence, machine learning, so those are really forms of advanced analytics, so that's been-- that's been very hot. We did a survey last year, an AI survey, and we asked a large group of people, we said, oh, you know, what are you doing with AI? 58% said they're researching it. 19% said they're training a model. Right, so that's interesting. 58% are researching it, and far fewer are actually, you know, actually doing something with it. Now, the reality is, if you phrase that a little bit differently, and you said, oh, what are you doing with machine learning? Many more would say yes, we're doing machine learning. So it begs the question, what do enterprises think of AI? And what do they think it is? So, a lot of my inquiries are spent helping enterprises understand what AI is, what they should focus on, and the other part of it is what are the technologies used for AI, and deep learning is the hottest. >> So, you wrote a piece late last year, what's possible today in AI. What's possible today in AI? >> Well, you know, before understanding was possible, it's important to understand what's not possible, right? And so we sort of characterize it as there's pure AI, and there's pragmatic AI. So it's real simple. Pure AI is the sci-fi stuff, we've all seen it, Ex Machina, Star Wars, whatever, right? That's not what we're talking about. That's not what enterprises can do today. We're talking about pragmatic AI, and pragmatic AI is about building predictive models. It's about conversational APIs, to interact in a natural way with humans, it's about image analysis, which is something very hot because of deep learning. So, AI is really about the building blocks that companies have been using, but then using them in combination to create even more intelligent solutions. And they have more options on the market, both from open source, both from cloud services that-- from Google, Microsoft, IBM, and now Amazon, at their re-- Were you guys at their reinvent conference? >> I wasn't, personally, but we were certainly there. >> Yeah, they announced the Amazon AI, which is a set of three services that developers can use without knowing anything about AI or being a data scientist. But, I mean, I think the way to think about AI is that it is data science. It requires the expertise of a data scientist to do AI. >> Following up on that comment, which was really interesting, is we try and-- whereas vendors try and democratize access to machine learning and AI, and I say that with two terms because usually the machine learning is the stuff that's sort of widely accessible and AI is a little further out, but there's a spectrum when you can just access an API, which is like a pre-trained model-- >> Pre-trained model, yep. >> It's developer-accessible, you don't need to be a data scientist, and then at the other end, you know, you need to pick your algorithms, you need to pick your features, you need to find the right data, so how do you see that horizon moving over time? >> Yeah, no, I-- So, these machine learning services, as you say, they're pre-trained models, totally accessible by anyone, anyone who can call an API or a restful service can access these. But their scope is limited, right? So, if, for example, you take the image API, you know, the imaging API that you can get from Google or now Amazon, you can drop an image in there and it will say, oh, there's a wine bottle on a picnic table on the beach. Right? It can identify that. So that's pretty cool, there might be a lot of use cases for that, but think of an enterprise use case. No. You can't do it, and let me give you this example. Say you're an insurance company, and you have a picture of a steel roof that's caved in. If you give that to one of these APIs, it might say steel roof, it may say damage, but what it's not going to do is it's not going to be able to estimate the damage, it's not going to be able to create a bill of materials on how to repair it, because Google hasn't trained it at that level. OK, so, enterprises are going to have to do this themselves, or an ISV is going to have to do it, because think about it, you've got 10 years worth of all these pictures taken of damage. And with all of those pictures, you've got tons of write-ups from an adjuster. Whoa, if you could shove that into a deep learning algorithm, you could potentially have consumers take pictures, or someone untrained, and have this thing say here's what the estimate damage is, this is the situation. >> And I've read about like insurance use cases like that, where the customer could, after they sort of have a crack up, take pictures all around the car, and then the insurance company could provide an estimate, tell them where the nearest repair shops are-- >> Yeah, but right now it's like the early days of e-commerce, where you could send an order in and then it would fax it and they'd type it in. So, I think, yes, insurance coverage is taking those pictures, and the question is can we automate it, and-- >> Well, let me actually iterate on that question, which is so who can build a more end-to-end solution, assuming, you know, there's a lot of heavy lifting that's got to go on for each enterprise trying to build a use case like that. Is it internal development and only at big companies that have a few of these data science gurus? Would it be like an IBM Global Services or an EXIN SURE, or would it be like a vertical ISV where it's semi-custom, semi-patent? >> I think it's both, but I also think it's two or three people walking around this conference, right, understanding Spark, maybe understanding how to use TensorFlow in conjunction with Spark that will start to come up with these ideas as well. So I think-- I think we'll see all of those solutions. Certainly, like IBM with their cognitive computing-- oh, and by the way, so we think that cognitive computing equals pragmatic AI, right, because it has similar characteristics. So, we're already seeing the big ISVs and the big application developers, SAP, Oracle, creating AI-infused applications or modules, but yeah, we're going to see small ISVs do it. There's one in Austin, Texas, called InteractiveTel. It's like 10 people. What they do is they use the Google-- so they sell to large car dealerships, like Ernie Boch. And they record every conversation, phone conversation with customers. They use the Google pre-trained model to convert the speech to text, and then they use their own machine learning to analyze that text to find out if there's a customer service problem or if there's a selling opportunity, and then they alert managers or other people in the organization. So, small company, very narrowly focused on something like car buying. >> So, I wonder if we could come back to something you said about pragmatic AI. We love to have someone like you on the Cube, because we like to talk about the horses on the track. So, if Watson is pragmatic AI, and we all-- well, I think you saw the 60 Minutes show, I don't know, whenever it was, three or four months ago, and IBM Watson got all the love. They barely mentioned Amazon and Google and Facebook, and Microsoft didn't get any mention. So, and there seems to be sentiment that, OK, all the real action is in Silicon Valley. But you've got IBM doing pragmatic AI. Do those two worlds come together in your view? How does that whole market shake up? >> I don't think they come together in the way I think you're suggesting. I think what Google, Microsoft, Facebook, what they're doing is they're churning out fundamental technology, like one of the most popular deep learning frameworks, TensorFlow, is a Google thing that they open sourced. And as I pointed out, those image APIs, that Amazon has, that's not going to work for insurance, that's not going to work for radiology. So, I don't think they're in-- >> George Gilbert: Facebook's going to apply it differently-- >> Yeah, I think what they're trying to do is they're trying to apply it to the millions of consumers that use their platforms, and then I think they throw off some of the technology for the rest of the world to use, fundamentally. >> And then the rest of the world has to apply those. >> Yeah, but I don't think they're in the business of building insurance solutions or building logistical solutions. >> Right. >> But you said something that was really, really potentially intriguing, which was you could take the horizontal Google speech to text API, and then-- >> Mike Gualtieri: And recombine it. >> --put your own model on top of that. And that's, techies call that like ensemble modeling, but essentially you're taking, almost like an OS level service, and you're putting in a more vertical application on top of it, to relate it to our old ways of looking at software, and that's interesting. >> Yeah, because what we're talking about right now, but this conversation is now about applications. Right, we're talking about applications, which need lots of different services recombined, whereas mostly the data science conversation has been narrowly about building one customer lifetime value model or one churn model. Now the conversation, when we talk about AI, is becoming about combining many different services and many different models. >> Dave Vellante: And the platform for building applications is really-- >> Yeah, yeah. >> And that platform, the richest platform, or the platform that is, that is most attractive has the most building blocks to work with, or the broadest ones? >> The best ones, I would say, right now. The reason why I say it that way is because this technology is still moving very rapidly. So for an image analysis, deep learning, very good for image, nothing's better than deep learning for image analysis. But if you're doing business process models or like churn models, well, deep learning hasn't played out there yet. So, right now I think there's some fragmentation. There's so much innovation. Ultimately it may come together. What we're seeing is, many of these companies are saying, OK, look, we're going to bring in the open source. It's pretty difficult to create a deep learning library. And so, you know, a lot of the vendors in the machine learning space, instead of creating their own, they're just bringing in MXNet or TensorFlow. >> I might be thinking of something from a different angle, which is not what underlying implementation they're using, whether it's deep learning or whether it's just random forest, or whatever the terminology is, you know, the traditional statistical stuff. The idea, though, is you want a platform-- like way, way back, Windows, with the Win32 API had essentially more widgets for helping you build graphical applications than any other platform >> Mike Gualtieri: Yeah, I see where you're going. >> And I guess I'm thinking it doesn't matter what the underlying implementation is, but how many widgets can you string together? >> I'm totally with you there, yeah. And so I think what you're saying is look, a platform that has the most capabilities, but abstracts, the implementations, and can, you know, can be somewhat pluggable-- right, good, to keep up with the innovation, yeah. And there's a lot of new companies out there, too, that are tackling this. One of them's called Bonsai AI, you know, small startup, they're trying to abstract deep learning, because deep learning right now, like TensorFlow and MXNet, that's a little bit of a challenge to learn, so they're abstracting it. But so are a lot of the-- so is SAS, IBM, et cetera. >> So, Mike, we're out of time, but I want to talk about your talk tomorrow. So, AI meets Spark, give us a little preview. >> AI meets Spark. Basically, the prerequisite to AI is a very sophisticated and fast data pipeline, because just because we're talking about AI doesn't mean we don't need data to build these models. So, I think Spark gives you the best of both worlds, right? It's designed for these sort of complex data pipelines that you need to prep data, but now, with MLlib for more traditional machine learning, and now with their announcement of TensorFrames, which is going to be an interface for TensorFlow, now you've got deep learning, too. And you've got it in a cluster architecture, so it can scale. So, pretty cool. >> All right, Mike, thanks very much for coming on the Cube. You know, way to go Pats, awesome. Really a pleasure having you back. >> Thanks. >> All right, keep right there, buddy. We'll be back with our next guest right after this short break. This is the Cube. (peppy music)

Published Date : Feb 8 2017

SUMMARY :

brought to you by Databricks. Mike Gualtieri is here, he's the principal analyst It was awesome. All right, the first question is So how was the parade yesterday? Great to see that team in person. and, you know, the show's getting bigger, I mean, what do you do with big data? what are you spending your time on Now, the reality is, if you phrase that So, you wrote a piece late last year, So, AI is really about the building blocks It requires the expertise of a data scientist to do AI. So, if, for example, you take the image API, of e-commerce, where you could send an order in assuming, you know, there's a lot of heavy lifting and the big application developers, SAP, Oracle, We love to have someone like you on the Cube, that Amazon has, that's not going to work for insurance, Yeah, I think what they're trying to do Yeah, but I don't think they're in the business and you're putting in a more vertical application Yeah, because what we're talking about right now, And so, you know, a lot of the vendors you know, the traditional statistical stuff. and can, you know, can be somewhat pluggable-- So, Mike, we're out of time, So, I think Spark gives you the best of both worlds, right? Really a pleasure having you back. This is the Cube.

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