Image Title

Search Results for Six seconds later:

Ken Exner, Chief Product Officer, Elastic | AWS re:Invent 2022


 

(upbeat music) >> Hello friends and welcome back to theCUBE's Live coverage of AWS re:Invent 2022 from the Venetian Expo in Vegas, baby. This show is absolutely packed. Lisa Martin with Dave Vellante, Dave this is day two, but really full day one of our wall to wall coverage on theCUBE. We've had great conversations the last half day this morning already, we've been talking with a lot of companies, a lot of Amazonians and some Amazonians that have left and gone on to interesting more things, which is what we're going to talk about next. >> Well, I'm excited about this segment because it's a really interesting space. You've got a search company who's gotten into observability and security and through our ETR partner our research, we do quarterly research and Elastic off the charts. Obviously they're the public company, so you can see how well they're doing. But the spending momentum on this platform is very, very strong and it has been consistently for quite some time. So really excited to learn more. >> The voice of the customer speaking loudly, from Elastic, its Chief Product Officer joins us, Ken Exner. Ken, welcome to the program. Hi, thank you, good to be here. >> Dave Vellante: Hey Ken. >> So a lot of us know about Elastic from Elastic Search but it's so much more than that these days. Talk about Elastic, what's going on now? What's the current product strategy? What's your vision? >> Yeah. So people know Elastic from the ELK Stack, you know Elastic Search, Logstash, Kibana. Very, very popular open source projects. They've been used by millions of developers for years and years. But one of the things that we started noticing over the years is that people were using it for all kinds of different use cases beyond just traditional search. So people started using Elastic Search to search through operational data, search through logs, search through all kinds of other types of data just to find different answers. And what we started realizing is the customers were taking us into different spaces. They took us into log analytics they started building log management solutions. And we said, cool, we can actually help these customers by providing solutions that already do this for them. So it took us into observability, they took us into security, and we started building solutions for security and observability based on what customers were starting to do with the platform. So customers can still use the platform for any number of different use cases for how do you get answers added data or they can use our pre-built packaged solutions for observability and security. >> So you were a longtime Amazonian. >> I was. I was. >> Talk a little bit about some of the things that you did there and what attracted you to Elastic? 'Cause it's only been a couple months, right? >> I've been here three months, I think three months as of yesterday. And I was at AWS for 16 years. So I was there a long, long time. I was there pretty much from the beginning. I was hired as one of the first product managers in AWS. Adam Selipsky hired me. And it was a great run. I had a ton of fun, I learned a lot. But you know, after 16 years I was kind of itching to do something new and it was going to take something special because I had a great gig and enjoyed the team at AWS. But I saw in Elastic sort of a great foundational technology they had a lot of momentum, a huge community behind it. I saw the business opportunity where they were going. I saw, you know the business opportunity of observability and security. These are massive industries with tons of business problems. Customers are excited about trying to get more answers out of data about their operational environment. And I saw, you know, that customers were struggling with their operating environments and things were becoming increasingly complicated. We used to talk in AWS about, you know how customers want to move from monolithic applications to monoliths, but one of the secrets was that things were increasingly complicated. Suddenly people had all these different microservices they had all these different managed services and their operating environment got complicated became this constellation of different systems, all emitting data. So companies like Elastic were helping people find answers in that data, find the problems with their systems so helping tame that complexity. So I saw that opportunity and I said I want to jump on that. Great foundational technology, good community and building solutions that actually helped solve real problems. >> Right. >> So, before you joined you probably looked back, and said, let think about the market, what's happening in the market space. What were the big trends that you saw that sort of informed your decision? >> Well, just sort of the mountain of data that was sort of emerging. Adam Selipsky in his talk this morning began by talking about how data is just multiplying constant. And I saw this, I saw how much data businesses were drowning in. Operational data, security data. You know, if you're trying to secure your business you have all these different endpoints you have all these different devices, you have different systems that you need to monitor all tons of data. And companies like Elastic were helping companies sort of manage that complexity, helping them find answers in that. So, when you're trying to track intruders or trying to track you know, malicious activity, there's a ton of different systems you need to pay attention to. And you know, there's a bunch of data. It's different devices, laptops and phone devices and stuff that you need to pay attention to. And you find correlations across that to figure out what is going on in your network, what is going on in your business. And that was exciting to me. This is a company sort of tackling one of the hardest problems which is helping you understand your operating environment, helping you understand and secure your business. >> So everybody's getting into observability. >> Yep. >> Right, it's a very crowded space right now. First of all, you know it's like overnight it just became the hottest thing going. VCs were throwing money at it. Why was that and how were you guys different? >> Well, we began by focusing on log analytics because that was the core of what we were doing. But customers started using it beyond log analytics and started using it for APM and started using it for performance data. And what we realized is that we could do all this for customers. So we ended up, sort of overnight over the course of three years building that a complete observe observability suite. So you can do APM, you can do profiling, you can do tracing, sort of distributed tracing, you can do synthetic monitoring everything you want to do, wheel user wondering. >> Metrics? >> All of it, metrics, all of it. And you can use the same system for this. So this was sort of a powerful concept, not only is it the best in leading log system, it also provides everything you need for complete observability. And because it's based on this open platform you can extend it to a number of different scenarios. So this is important, a lot of the different observability companies provide you something that's sort of packaged and as long as you're trying to do what it wants to support, it's great. But with Elastic, you have this flexible data architecture that you can use for anything. So companies use it to monitor assembly lines, they use it to monitor dish networks, for example use it to not only manage their fleet of servers they also use it to manage all their devices. So 25 million desktop devices. So, you know, observability systems like that that can do a number of different scenarios, I think that's a powerful thing. It's not just about how do you manage your servers how do you manage the things that are simple. It's how do you manage anything? How do you get observability into anything. >> Multiple use cases. >> Sorry, when you say complete, okay you talked about all the different APM, log analytics tracing, metrics, and also end-to-end. >> Ken Exner: End-to-end, yeah. >> Could you talk about that component of complete? >> So, if you're trying to find an issue like you have some metric that goes into alarm. You want to have a metric system that has alarming. Once that metric goes in alarm you're going to want to dig into your log. So you're going to want it to take you to the area of your logs that has that issue. Once you gets to there, you're going to want to find the trace ID that takes you to your traces and looks at sort of profiling, distributed tracing information. So a system that can do all of that end-to-end is a powerful solution. So it not only helps you track things end-to-end across the different signals that you're monitoring, but it actually helps you remediate more quickly. And the other thing that Elastic does that is unique is a lot of ML in this. So not only helping you find the information but surfacing things before you even know of them. So anomaly detection for example, helps you know about something before you even realize that there was an issue. So you should pay attention to this because it's anomalous. So a lot of systems help you find something if you know what to look for. But we're trying to help you not only find the things that you know to look for, but help you find the things that you didn't even think to know about. >> And it's fair to say one of your differentiators is you're open, open source. I mean, maybe talk about the ELK stack a little bit and how that plays. >> Yeah, well, so the great thing about this is we've extended that openness to both security and to observability. An example of this on the security side is all the detection rules that you use for looking for intrusion all the detection rules are open source and there's an entire community around this. So if you wanted to create a detection rule you can publish an open source, there's a bunch in GitHub you can benefit from what the community is doing as well. So in the world of security you want to be supported by the entire community, everyone looking for the same kind of issues. And there's an entire community around Elastic that is helping support these detection rules. So that approach, you know wanting to focus on community is differentiating for us. Not just, we got you covered as long you use things from us you can use it from the entire community. >> Well there implies the name Elastic. >> Yeah >> Talk a little bit about the influence that the customer has in the product roadmap and the direction. You've talked a little bit in the beginning about customers were leading us in different directions. It sounds very Amazonian in terms of following the customers where they go. >> It does, it actually does, it was one of the things that resonated for me personally is the journey that Elastic took to observability and security was customer led. So, we started looking at what customers were doing and realized that they were taking us into log analytics they were taking us into APM, they were taking us into these different solutions, and yeah, it is an Amazonian thing, so it resonated for me personally. And they're going to continue taking us in new places. Like we love seeing all the novel things that customers do with the platform and it's sort of one of the hallmarks of a great platform is you can have all kinds of novel things that, novel use cases for how people use your platform and we'll continue to see things and we may get taken into other solutions as well as we start seeing things emerge, like common patterns. But for now we're really excited about security and observability. >> So what do you see, so security's a big space, right? >> Yep. >> You see the optiv taxonomy and it makes your eyes bleed 'cause there's so many tools in there. Where do you fit in that taxonomy? How do you see and think about the security space and the opportunity for your customers? >> Yeah, so we began with logs in the security space as well. So SIEM, which is intrusion detection is based on aggregating a bunch of logs and helping you do threat hunting on those logs. So looking for patterns of malicious behavior or intrusion. So we started there and we did both detections as well as just ad hoc threat hunting. But then we started expanding into endpoint protection. So if we were going to have agents on all these different devices they were gathering logs, what if we also started providing remediation. So if you had malicious activity that was happening on one of the servers, don't just grab the information quarantine it, isolate it. So that took us into sort of endpoint protection or XDR. And then beyond that, we recently got into cloud security as well. So similar to observability, we started with logs but expanded to a full suite so that you can do everything. You can have both endpoint protection, you can have cloud security, all of it from one solution. >> Security is a very crowded market as well. What's your superpower? >> Ken Exner: What's our super power? >> Yeah. >> I think it, a lot of it is just the openness. It's the open platform, there's the community around it. People know and love the, the Elastic Search ELK stack and use it, we go into businesses all the time and they're familiar, their security engineers are using our product for searching through logs. So they're familiar with the product already and the community behind it. So they were excited about being able to use detection rules from other businesses and stay on top of that and be part of that community. The transparency of that is important to the customers. So if you're trying to be the most secure place, the most secure business, you want to basically invest in a community that's going to support that and not be alone in that. >> Right, absolutely, so much that rides on that. Favorite customer example that you think really articulates the value of Elastic, its openness, its transparency. >> Well, there's a customer Dish Media Dish Networks that's going to present here at re:Invent tomorrow at 1:45 at Mandalay Bay. I'm excited about their example because they use it to manage, I think it's 10 billion records a day across 25 million devices. So it illustrates the scale that we can support for managing observability for a company but also just sort of the unique use cases. We can use this for set top boxes for all their customers and they can track the performance that those customers are having. It's a unique case that a lot of vendors couldn't support but we can support because of the openness of the platform, the open data architecture that we have. So I think it illustrates the scale that we support, the elasticity, but also the openness of the data platform. >> Awesome and folks can catch that tomorrow, 1:45 PM at the Mandalay Bay. Last question for you, Ken, is you have a bumper sticker. >> Ken Exner: A bumper sticker? >> A bumper sticker you're going to put it on your fancy sexy new car and it's about elastic, what does it say? >> Helping you get answers out of data. So yeah. >> Love it, love it. Brilliant. >> Ken Exner: Thank you. >> Short and sweet. Ken, it's been a pleasure. >> It's been a pleasure being here, thank you. >> Thank you so much for sharing your journey with us as an Amazonian now into Elastic what Elastic is doing from a product perspective. We will keep our eyes peeled as Dave was saying. >> Ken Exner: Fantastic. >> The data show is really strong spending momentum so well done. >> Thank you very much, good to meet you. >> Our pleasure. For our guest and Dave Vellante, I'm Lisa Martin. You're watching theCUBE, the leader in live enterprise and emerging tech coverage. (upbeat music)

Published Date : Nov 29 2022

SUMMARY :

and some Amazonians that have left so you can see how well they're doing. from Elastic, its Chief So a lot of us know about the ELK Stack, you know I was. And I saw, you know, that What were the big trends that you saw and stuff that you need So everybody's getting First of all, you know So you can do APM, you can do profiling, architecture that you you talked about all the the trace ID that takes you to your traces and how that plays. So that approach, you know that the customer has and it's sort of one of the hallmarks and the opportunity for your customers? so that you can do everything. What's your superpower? and the community behind it. that you think really So it illustrates the you have a bumper sticker. Helping you get answers out of data. Love it, love it. Short and sweet. It's been a pleasure Thank you so much so well done. in live enterprise and

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Dave VellantePERSON

0.99+

Adam SelipskyPERSON

0.99+

Dave VellantePERSON

0.99+

DavePERSON

0.99+

Lisa MartinPERSON

0.99+

Ken ExnerPERSON

0.99+

KenPERSON

0.99+

16 yearsQUANTITY

0.99+

three monthsQUANTITY

0.99+

AWSORGANIZATION

0.99+

Mandalay BayLOCATION

0.99+

Elastic SearchTITLE

0.99+

three yearsQUANTITY

0.99+

bothQUANTITY

0.99+

Venetian ExpoEVENT

0.99+

VegasLOCATION

0.98+

one solutionQUANTITY

0.98+

oneQUANTITY

0.98+

25 million devicesQUANTITY

0.97+

yesterdayDATE

0.97+

ElasticTITLE

0.96+

tomorrow at 1:45DATE

0.96+

tomorrow, 1:45 PMDATE

0.96+

FirstQUANTITY

0.95+

25 million desktopQUANTITY

0.94+

APMTITLE

0.91+

ElasticORGANIZATION

0.91+

10 billion records a dayQUANTITY

0.88+

day oneQUANTITY

0.88+

theCUBEORGANIZATION

0.87+

ELK StackORGANIZATION

0.87+

this morningDATE

0.86+

day twoQUANTITY

0.85+

last half dayDATE

0.84+

GitHubORGANIZATION

0.83+

couple monthsQUANTITY

0.82+

InventEVENT

0.82+

AmazonianORGANIZATION

0.79+

AWS re:Invent 2022EVENT

0.78+

first product managersQUANTITY

0.77+

millions of developersQUANTITY

0.76+

tons of dataQUANTITY

0.76+

Elastic Search ELKTITLE

0.74+

LogstashORGANIZATION

0.67+

yearsQUANTITY

0.67+

KibanaORGANIZATION

0.67+

reEVENT

0.55+

ELKORGANIZATION

0.51+

Bill Baver, NTT & Michael Sherwood, City of Las Vegas | Dell Technologies World 2019


 

(energetic music) >> Live, from Las Vegas it's theCUBE covering Dell Technologies World 2019. Brought to you by Dell Technologies and it's ecosystem partners. >> Hi, welcome to theCUBE's coverage of Dell Technologies World 2019. I'm Lisa Martin with John Furrier. We're in Las Vegas and we have somebody from the city of Las Vegas here. We've got two gentlemen joining us. Bill Baver, the VP of NTT. Hey Bill, good to have you on theCUBE. >> Thank you very much, appreciate being here. >> And your partner in crime Michael Sherwood, the IT Director Las Vegas. The city of Las Vegas, where we are right now. >> Welcome. >> Thank you. >> Love having you here. >> Thank you for having us. So guys, theCUBE comes to Vegas a lot. There's a ton of shows here. You can fit a ton of people. Last year, Bill, we'll start with you, NTT and Dell Technologies announced this exciting smart cities initiative. Talk to us about, in the last year, first of all why NTT is partnering with Dell Technologies and what you've done. And then of course we're going to dig into Las Vegas as one of those smart secure cities that Michael, I can tell, is just tell dying to tell us about. So, in the last year, what's going on? >> Well, first off when you start digging let me see. I want to see how this really plays here. (laughter) So, I'm ready for that. So, yes last year we announced a partnership between Dell, NTT and Las Vegas. And it's really a three way partnership. And since then, if you ever work with city governments, how far the city of Las Vegas has come has been amazing. So within six months we installed equipment that was supposed to be there. And then started for the last six months running a system there, running it around public safety perspective, and really starting to bring true insights to what they're doing. The Dell part brings equipment on the edge and our core data center. How to go back and forth between the entire Dell family. Dell, EMC, VMware, and then the NTT family that's there. And then really the third leg of the stool is the city of Las Vegas and the insights they've allowed to us to recognize and sort of bring to them. So they can make changes in how the city is looking at and running the environment. >> And why did you decide to start this partnership with the wonderful city of Las Vegas? >> It's really around innovation. So, Michael Sherwood, and the city of Las Vegas have really become a leader in innovation around the country and they're really willing to take chances. And they have an innovation zone that allows them to do projects rather quickly. Not as quick as this sometimes, but rather quickly. Then, we can start to see results and then they can adjust and start to figure out how it's going to roll out and sustain across the city. So, it was their innovation and it was really Michael's legacy of what he's been doing so far and what his willingness to work with partners has been. So that's really a reason to do this as we went forward. >> So, how about the innovation strategy? Because, obviously, Las Vegas, a lot of people come here. Destination, public safety's been critical. Number one. I've seen the evolution of just really smart moves whether it's blocking the sidewalks from anyone driving on them to the use of video and processing video. You need AI for that. So it's probably a melting pot of interest to be on the forefront. >> Why would innovation go anywhere else other than Las Vegas, where we're the innovators of entertainment. We're the innovators of fun. So, why not be the innovators of technology and innovate with great companies like NTT and Dell. I mean you can't get any better. If you want to talk about a cube of perfection that would be it right there. You have innovation around the board surrounded by great companies. Las Vegas is innovative. We have a culture here to use technology to not only make our citizenry safer, but to insight development, to insight economic growth. So innovations not just something that is just limited to technology. It's limited to all facets of society. >> That's great culture too. You don't really have to change the culture if people are already there. What leading edge stuff are you working on now that'd be really cool to talk about? I mean smart cities, obviously, cameras on corners looking at things, so traffic, EIOT devices. What are some of the things? Share with us, open the kimono a little bit. Talk about it. >> So, first off, one thing. We do not say cameras, we say optical sensors because that's more pleasing to the ear. So, as we gather data it'll go, so go ahead. >> All right, thank you Bill. (laughter) So optical. Even I learn something every day in innovation. I mean now we have optical sensors. >> It's all optics. >> It's all optic. Let me just start with, you know public safety's very important. So we're doing some things there with our partnership with Dell and NTT. I like to call it autonomous policing. Where we're really providing real time analysis of a location. So, in the old days or current days of policing, police randomly drive around and do a patrol. That's what we call it. What we're looking at now is using cameras to provide, excuse me, optical sensors, to provide real time situational awareness to those first responders. So as they're responding to an incident, number one, there really is an incident. Because the optical sensor has validated that there is an issue there. And as the officers respond to that, they're actually able to see real time analysis from those optical sensors that's giving them a safety presence. So we're really taking policing, and really putting policing where it needs to be when it needs to be there. That's one category. The other one's mobility. We all want to get from point A to B the most convenient way possible. And what we're doing with the Dell NTT partnership and this optical sensor system, as well as analytics, is really looking at improving traffic flow, but improving traffic flow smartly. And something that's scalable that not just Las Vegas can do but any city could do across the world. Again, Las Vegas, we don't consider ourselves just a national US based innovator. We look at ourselves as world innovators. So really mobility is somewhere that can go anywhere in the world. Same with public safety. >> Talk about the architecture of innovation. How do you guys pull this off? What's the playbook? A lot of people want to be, first of all, cultural change is hard. You guys are there, like I said earlier. What's the playbook? You got to have multi-cloud architecture. You got to start thinking about getting a system set up. Either like some sort of sandbox or I've seen (mumbles) innovation zone. How do you pull it off? What's the playbook? >> I think the playbook goes down to a great team. Without a great team and great partners it doesn't matter what technology you have behind it, it's the team and partnership. That's really what makes this special. You see the bond between myself and Bill. But that goes through all levels of NTT, as far as all levels of Dell. So it's about bringing winning players and winning skill sets together, and then taking great technology and funneling around that. That is a success. Anybody can be an innovator. It's nothing special, though I'm available to help people innovate. But, I think what it really takes is understanding your business. Understanding your performance measures that you want to hit. What do you want to do? In a football team, they want to score a touchdown. In my job I want to use my resources effectively as I can and create things that are safe, and create a better Las Vegas for everybody. >> Speed is critical. It used to be the old days, months to get projects done. Then it became weeks, now it's days, hours. The shift in the time spectrum has radically changed. >> It's tough. It's tough for government. Government is traditionally not known for it's agility and speed. You know, we're changing some of that here. But we're still struggling in a couple of areas. We have some refinement to do. I think, nationwide, purchasing is hard. We want to be fair and equal to everybody. But, at the same time, we want to get these solutions out in the marketplace because it is helping the city be more effective. So, there's challenges still. But, overall, the future is very bright and the technology and expertise that our partnership has really is making, I mean, in one year I don't think any government in the US has done as much as the city of Las Vegas has with our partnership. >> I would add that Michael's being a little humble on that there's not a lot of, everybody can do innovation. We have an innovation zone that allows him the flexibility to do that. So, that's really important. And then the technology, Michael is right that it is tough. There are times that it didn't work to the schedule. But that goes back to the teamwork of everybody saying our end goal is we want to get this done, and going towards that. >> Talk about the innovation zone. Talk about the innovation zone. Is that a physical zone? is it where you can deploy new towers and test stuff? >> It's downtown Las Vegas. If you're familiar with Fremont Street, it's the big canopy area. So, it's about 80 square blocks around that area that incorporates an entertainment district, a government zone, a medical, where we basically have fiber optics. Different type of technologies and we ask partners to come in and test. But, to follow up a little bit, I'll disagree with my panelist here. You know, every city can do >> That you're not humble? (laughter) >> But every city can do innovations. It's about understanding risk and taking a little gamble and a little chance. We do that everyday in our lives, but yet when we get into out work we seem to forget about risk. >> It's a tech playground, too. You're going to attract great people when you have this kind of flexibility to just deploy. Do bake-offs, test new equipment. >> You got it. Again, so many people know Las Vegas just for what they see while they're here. Which is fun and entertainment. We want everyone to know that Las Vegas also means business. We're here to be discovered. We're here to be used. Not abused, but we're here to be used. (laughter) >> If you're bringing you equipment into you're tech zone does it stay in Vegas? (laughter) >> Everything that happens in Vegas stays in Vegas. >> It can't leave. >> Including the equipment. >> Like hotel California. >> All the equipment. Yes >> Exactly. >> I'd like to have the people remain as well. But no, I mean we're open for business. We're not just a great place to play. We're a great place to develop your products and sell product. >> So talk to us about, not just the innovation zone, but as you mentioned before, this is a challenging thing for governments and municipalities to undertake. It's expensive, right? There's a tremendous amount of people that are coming in and out of Vegas 24 by seven. When you're talking, I presume, Michael, that you're talking with you're talking with your peers in other industries about, this is why we set up an innovation zone. This is why it's so critical. Here's the advancements we've made in terms of safety in the last year. What are some of the industries that you talk to and some of your recommendations for them to take that gamble and to find the resources to make this happen? >> Well it's finding the great partners obviously is one. But two is start small. So many cities want to do, I want to replace all my street lights with smart lights. In Las Vegas that would be over a hundred thousand street lights to replace. A huge project, daunting. But why not start small? Get an understanding of the technology. Understand how it works. And then see what you like and what you don't like. And then you can go ahead and, from a small pilot, then, with the education behind you start branching out and making it bigger. And I think the key to my success is start small gain knowledge, gain success, and then build on that success. Don't try to shoot for that one shot and you're going to be a winner. >> That's great advice. What about some of those key constituents of yours, you mentioned some of the things you're doing with policing and from a government perspective. Who have been some of your key constituents to become champions of what you're doing with NTT and Dell Technologies? >> It's really the people, the people that visit here. I look at everybody as a customer. Whether you live here, play here, you're a customer of Las Vegas. And so we want you to be happy. We want you to be able to get from A to B. It doesn't do us any good if you're stuck in the car because you're not spending any money. And so, I want you excited. I want you having the best time of your life at the best restaurants. I want you having the safest experience here. I want you to return. So my objectives are no different than a private business. Except, I have the whole community. So it's when people in the community say thank you for letting us get to A to B quicker. They never thank me personally, but they're happy about it. I'm not hearing complaints about being stuck in traffic. >> Getting to A, B quicker is a lot of really long stop lights in Vegas. Any optical sensors going to help us with that? >> Taxi lights? >> You've got to come down. This year, we actually, in January we did an autonomous vehicle all the way from Mandalay Bay down to the Golden Nugget. Great technology. It worked. We're getting there. Yes, traffic is still in certain areas an issue. But come down to the innovation district. You want to drive around there it's great. >> We've got to have theCUBE there. We've got to get a tour of this. >> We've got the inside track here. >> In time. >> I know a guy in Vegas. You're out guy >> I'm your guy. (laughter) >> Guys, talk about the key learnings. You can both share some data around the journey the past couple years as technology has shifted. Obviously, apps or renaissances happening, more apps are coming over the top: Saska, cloud, partnerships or people equations happening. What's some key learnings or scar tissue that you guys have learned over the past few years that you could share to folks watching? >> I think one of the first parts is the learning is partnership and your end goal. Because, there are going to be bumps in the road as we go, and there were bumps. Things couldn't get installed as quickly. It didn't work the way we wanted. That's why we started as a proof of concept. But then the other part of the learning is start small and grow. It's not only start small in an area or even a section of the city. It's how does it grow so that you have a sustainable model for the city so they can then pay for it as they go forward. We all want to make sure that it gives us a model forward. So the openness of the NTT and Dell partnerships to allow us to have that time to do it, that was really important for us to figure a model forward. And now we're fitting into the city model a lot better. And it's making it work beyond just the innovation zone. That's where we're taking it now, and that's the key for us all. >> Mike, any learnings? >> Definitely, let me tag on to his openness. Number one is an open platform. Having a platform that's open, that your data's accessible regardless of what changes. Everybody knows technology changes rapidly. So having agility to situations. Today, right now it's mobility for me. It is public safety. But I really look to the future as curb monetization. Where we're monetizing that curb with autonomous vehicles. How do you get there? If you have a closed system that doesn't have the interface, doesn't have the agility, you can't get there. So, the open architecture is something to me that with the learning, I would have never come to that conclusion without the partnership and the learning avenues. But the open architecture is key. >> The most important question I want to ask, Michael, to you is, when the Raiders come to town, that's going to change the game big time. The Oakland Raiders, the black hole. Whole new fan base. >> I'm excited. (laughter) I'm looking for that to be, even though I live on the other side of the stadium so I have to go through there on the weekends. But I'm super excited. I'm not just excited about the game coming. I'm excited about the innovations and the new opportunities for a great city. And we have the Golden Knights you get to have a phenomenal season this year. Give them a shout out, and wait to come. I will bet you in the next year there will be some new sports franchises here. >> And the tech involvement, all kidding aside about the Raiders, it's fun to talk about because they're moving here, that's great. But the tech involved in sports is cutting edge. You've got entertainment, obviously, here inside the venues. And you've got service, managing the team, it's the same IOT problem everyone else has. >> It's in a little mini-city of it's own. It's going to have it's own IOT opportunities there. We're working closely with the stadium authority in that regard. We're sharing our experiences, sharing our partners. But, couldn't be more excited and actually, elated to have them here locally. >> Working closer to get tickets? (laughter) >> How about a suite, I was thinking suite. I'll ask for the suite. >> I'll be with the regular people. (laughter) >> Remember I'm a civil servant of the government here. Very low connections on my lane. >> Last thing, Michael for you, is we talked about the public safety issue. But, in terms of the opportunity for you to let more of the public know. There obviously have been some public incidents here that have been known the world over. It's an important message to get out to everyone. This is a global city. What are some of the opportunities that you have to share what you guys are doing with NTT and Dell Technologies so that the perspective visitors know, I'm coming into a pretty, this is a very AI enabled city that's really looking out for my best interests. >> I'm here on theCUBE. I thought if I was here >> This is it. >> everybody would know about the great things we're doing. >> That's true. >> So, beyond that though. It's part of why we're here today is to share our story and to start outreaching more. We're doing more in the community than we've done before. We're opening a great innovation center downtown. We're calling, it has many name currently now, we're trying to focus on one. But, the concept is basically a technology embassy. Where we're going around the world and sharing our story and letting companies know that they can come here and test their technology, and we can share that with the community. So, really technology is nothing without a great community that supports it. And so, a lot of what I do is sharing that message about what we're doing. We share with our partners, and we come on shows. There's only one show to come on, but this is the show, where I'm sharing what we're doing first. >> He's a quick learner. I think the thing that's been really cool for you guys to share, what NTT Dell and the city of Las Vegas are doing to turn Vegas into this AI enabled city for societal good, but it's also this whole message I think I've heard from you guys in the last 15 minutes is this is all about community, collaboration, people. We thank you both so much for giving us some time this morning on theCUBE. Now you're alumni so you've got to get stickers. And you've got to come back, 'cause this is only going in a better direction. So we're excited to hear in the next year what happens. Doug, Michael, thank you so much for your time. >> Thank you. >> Thank you. Great being here. >> Appreciate it. >> Excellent. For John Furrier I'm Lisa Martin. Can you feel the buzz of Dell Technologies World 2019. Stick around we'll be right back with our next guest. (energetic music)

Published Date : Apr 29 2019

SUMMARY :

Brought to you by Dell Technologies Hey Bill, good to have you on theCUBE. Michael Sherwood, the IT Director Las Vegas. I can tell, is just tell dying to tell us about. and really starting to bring true insights So, Michael Sherwood, and the city of Las Vegas So, how about the innovation strategy? that is just limited to technology. You don't really have to change the culture because that's more pleasing to the ear. All right, thank you Bill. And as the officers respond to that, You got to have multi-cloud architecture. I think the playbook goes down to a great team. The shift in the time spectrum and the technology and expertise that our partnership has that allows him the flexibility to do that. Talk about the innovation zone. it's the big canopy area. We do that everyday in our lives, You're going to attract great people when you have this kind of We're here to be discovered. Everything that happens in Vegas All the equipment. We're a great place to develop your products What are some of the industries that you talk to And I think the key to my success to become champions of what you're doing I want you having the best time of your life Any optical sensors going to help us with that? But come down to the innovation district. We've got to have theCUBE there. We've got the I know a guy in Vegas. I'm your guy. You can both share some data around the journey and that's the key for us all. So, the open architecture is something to me to you is, when the Raiders come to town, I'm looking for that to be, all kidding aside about the Raiders, it's fun to talk about It's going to have it's own IOT opportunities there. I'll ask for the suite. I'll be with the regular people. Remember I'm a civil servant of the government here. What are some of the opportunities that you have to share I thought if I was here is to share our story and to start outreaching more. and the city of Las Vegas are doing to turn Vegas Thank you. Can you feel the buzz of Dell Technologies World 2019.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
NTTORGANIZATION

0.99+

DellORGANIZATION

0.99+

Michael SherwoodPERSON

0.99+

Lisa MartinPERSON

0.99+

Bill BaverPERSON

0.99+

MichaelPERSON

0.99+

DougPERSON

0.99+

Mandalay BayLOCATION

0.99+

EMCORGANIZATION

0.99+

VegasLOCATION

0.99+

Dell TechnologiesORGANIZATION

0.99+

John FurrierPERSON

0.99+

VMwareORGANIZATION

0.99+

Las VegasLOCATION

0.99+

MikePERSON

0.99+

RaidersORGANIZATION

0.99+

Fremont StreetLOCATION

0.99+

BillPERSON

0.99+

last yearDATE

0.99+

Last yearDATE

0.99+

This yearDATE

0.99+

USLOCATION

0.99+

twoQUANTITY

0.99+

TodayDATE

0.99+

NTT DellORGANIZATION

0.99+

JanuaryDATE

0.99+

next yearDATE

0.99+

Oakland RaidersORGANIZATION

0.99+

six monthsQUANTITY

0.99+

one categoryQUANTITY

0.98+

Golden KnightsORGANIZATION

0.98+

Brendon Howe, NetApp | NetApp Insight 2018


 

>> Announcer: Live from Las Vegas. It's theCUBE. Covering NetApp Insight, 2018. Brought to you by NetApp. >> Hey, welcome back to theCUBE's coverage of NetApp Insight 2018. From the Mandalay Bay in Las Vegas, I am Lisa Martin with Stu Miniman. And we're welcoming back one of our alumni, Brendon Howe SVP of the Cloud Volume Services at NetApp. Hey, Brendon. >> Hey. >> Thanks for taking some time to come chat with Stu and me. >> Brendon: And thank you for having me. Great to be here. >> Big event about 5,000 plus people, the keynote this morning we had a chance to go to that, and it was when we were leaving standing room only. Biggest, Jean English was saying, this is the biggest collection of customers and partners under one roof. >> That's great. >> Yeah, fantastic. You're a long time NetApp-iac. >> 12 and a half years. >> 12 and a half years young. So you've seen a lot of NetApp's transformation. >> I have. >> In the messaging and the positioning, NetApp is the data authority. We're helping customers to be hashtag data driven. Cloud is really now seeming to be at the heart of NetApp's strategy. >> Brendon: Yeah. >> Talk to us about that evolution. >> Absolutely, you always want to be positioning yourself ahead of where you are, where you want to go. Alright, you want to be perceived as the future of where you're aiming. And I think it's been clear to us for a while now that the whole dynamic and movement to cloud, is probably the most disruptive and most impactful thing that's hit traditional IT. We've lived through a lot of changes. I've been here for a lot of them, where you went to a virtualization and the way applications were deployed and the way infrastructure was deployed waves. And up and down of the economy. Those were minor speed bumps, I think, in the journey of how we get to where we want to go. The disruption of cloud, which really could be characterized as the availability of an unprecedented set of services from the biggest public clouds in the world, who happen to be the biggest companies in the world, has changed the dynamics completely. I don't know that people fully appreciate why it's been so impactful. When you talk to customers, what you hear is they go to the cloud for agility and speed. It's not really a cost discussion of where are compute instances or bits or storage cheaper, one or the other. It's an agility argument. And what cloud brings to them is unprecedented pace of change, of adoption, of speed of line of business. That they can't reproduce otherwise. So, I think it's really important, that we aim ahead of where we want to be, which is really a cloud-first, data-oriented company. And that's why you see so much of that messaging from us. >> Brendan, it's really interesting, I think back. If I turn back the clock a dozen years ago, we didn't talk about software defines. >> Brendon: No. >> Yet, there were certain companies out there that storage, it was like, okay, we're going to create software for storage. Well, no, that was some software that ran on their box and only on their box. >> Brendon: That's right. >> You know, NetApp was the hipster software defines storage company, right? They were software before anybody else was. When you talk about NetApp in this cloud world, I think it's taken a while to come into focus. I remember back at the early solutions it was like, oh, let's stick a filer in a data center direct-connect it, we can offer some services. But the nirvana we've been trying to reach is storage services, available lots of different places. Can you walk us through some of that? Philosophically where NetApp's going? >> Yup, I think that's a good observation. I would say, think back four or five years ago, which I still think most of the industry's in at the moment, the notion of working with cloud was largely a connect-to-cloud theory. As you describe, where you have systems that would interconnect into the cloud. Or even leap into that world of taking an operating system and having it run in a VM in the cloud. I think of that as a cloud-connected strategy. And customers were intrigued, but what we often heard from them is it really can't be consumed as a cloud service. And it really can't be part of my traditional build with Azure, Google, or AWS. So, it's interesting, but it's an adjacency. And what we're really looking for are native cloud services. So, we took that to heart and really retrenched our effort to figure out how to build Cloud Data Services that behaved every bit like a native cloud service from the big cloud companies. All the way through to metered billing, provisioned and managed through the native portals of those cloud companies. Other than a brand label here and there, a customer may not even know it's NetApp. That's how cloud-oriented these services are. I think that's what it's going to take to be successful in this space. And you do that across multiple clouds with a quest towards going after market share. At the end of the day, you want to be relevant in as many cloud instances as exist, so you aim at the big cloud companies and you aim at global scale. I think that was what the learnings that we had through that journey is, it's not enough to reference architectures or software ports to the cloud, you really have to think about native services. There clearly, you have to find unique value, you have to do something that's not available otherwise, which is par for the course, but you also have to look at levels of integration that make it very, very easy to consume. And in the cloud, that's an unprecedented level of simplicity. >> One of the big challenges of the multi-cloud world is, it would be really nice if it was just a utility. People always say, oh well, I'm going to choose a cloud, and I can change things. Well, as you said, there's differentiation in the cloud. If you go talk to Amazon, Google and Microsoft, they're not all saying. no longer is it the race to the bottom. >> Absolutely. >> When you talk about partnering with the clouds, how do you provide, you need to provide unique differentiation, you need to integrate with all of the different players, yet, customers would love to be able to, oh, it's just a Kubernetes service and I use this deal and I move things around. How do you balance and deal with that complicated nuanceness of what multi-cloud really is? >> I think that the starting point is being good at a cloud in something. Right, and then you build on that competency. The Big Bang theory of going in and helping a customer with a hybrid cloud scenario that extends to multi-cloud is sort of the longest term vision of where they might end up over time. So, to some extent, it's the hardest problem to take on first. So if you core that back a little bit saying, let's focus on a use case that runs on the cloud to get started, and we'll build on that. The true fashion of, start small, iterate, grow, earn monthly recurring revenue, build under success and go is really the nature of the beast of what we're trying to do. Each of the cloud environments, tend to have real core competents that leads customers there in the first place. I don't know that you can ever listen to discussions from AWS without hearing about the breadth of their platform as a service. And how attractive it's been to the development in the DevOps community. Or you swing over and talk to Google, it's all about machine learning and analytics and tensor data flow, and all of that big query type stuff. And you swing over to Azure, and you hear about linking to the enterprise with traditional applications now enabled to run natively in the cloud. You follow those paths toward use case success and figure out how to build those solution stack with real value for the customer. So, we're trying to bring Cloud Volume Services into the fold, not as infrastructure as a service that's an option as well that might be faster, but tether that to real use cases where, look people are trying to move SAP HANA environments into the cloud; can we help? People are trying to figure out how to run database in the cloud; can we help? People are trying to figure out how to run analytics on file data that may even be collected on-prem; how can we help? You get into those types of discussions and start building validation, and it gets a lot easier to begin the journey of getting involved. I do think a multi-cloud world is the reality where people end up. As I do a hybrid-cloud. But customers have to work their way through that implementation in order to achieve that outcome. I think that's a long journey for a lot of customers. And I think there's a lot of technology that still has to be built to realize that full vision, the point is we're focused on that. I think we're on the right path, and if you saw the keynote this morning Anthony gave a nice preview of some of the data fabric vision that really showed snippets of how that plays out. A lot of which is available today. Which is pretty cool. >> Last question, and about a minute left, Brendon, NetApp is very customer focused, very customer-centric >> Brendon: Always has been. >> Exactly. Massive install base, as George was addressing this morning. A lot of enterprise customers not born in the cloud, those who are digital, those who are now. And last question, how have your customers helped influence the evolution of Cloud Volume Services? >> In a variety of ways. At times the traditional NetApp customer, that runs with things on-prem, is the most complex customer for services in the cloud because they're expectations are take everything the way they run on premise, and reproduce that in the cloud. And that's just simply not practical. Because you're in a new environment with new circumstances with new economics that make that achievement for a customer near impossible to do. To some extent, you have to sort of reprogram the traditional NetApp customer to understand, the cloud is different. The compare is not against us on-premise, the compare is the services in the cloud today that we look to improve upon. So that's one aspect of it. But clearly, a lot of our customers here at the show have decades of experience in leveraging the features we have into application environments that exist in the cloud today as well. And as it turns out, efficient handling of data, still is a problem. Having a reliable and dependable way to do backup and recovery is still a problem for customers. The ability to deal with bulk data from a backup and archive perspective, it's still a problem. So, I think a lot of the themes are the same and that the technology applies, but it has to be built differently because of the ecosystems that we're going in. I think the customers here are beginning to realize that, and then you bring in the wildcards of what's happening with Kubernetes and the drive towards application provisioning and how all of that can be linked to our solution set. We bring a lot of new opportunity that is different than the way traditional on-premises worked. >> Is that just one of the biggest barriers initially, was helping these large incumbent enterprises realize that it isn't possible to just go from on-prem to cloud, poof? >> Yes, I think so. The whole notion of taking the exact configuration, by the way, they custom tuned, and said I want to do that exact same thing in the cloud. It turns out that the configuration options in global cloud services just simply aren't available to do that. So you have to rework your customer's minds set, into the proper compare, and set expectations the right way. >> Lisa: It's all an evolution. Well, Brendon thanks so much for stopping by >> Thank you. >> and having a chat with Stu and me. We appreciate it. >> Thank you, it was a pleasure. >> We want to thank you for watching theCUBE, Lisa Martin with Stu Miniman. We are at NetApp Insight 2018 from Vegas, we'll be back with our next guest shortly. (electronic music)

Published Date : Oct 24 2018

SUMMARY :

Brought to you by NetApp. Brendon Howe SVP of the Cloud Volume Services at NetApp. Brendon: And thank you for having me. the keynote this morning we had a chance to go to that, You're a long time NetApp-iac. 12 and a half years young. NetApp is the data authority. in the journey of how we get to where we want to go. Brendan, it's really interesting, I think back. Well, no, that was some software that ran on their box I remember back at the early solutions and having it run in a VM in the cloud. One of the big challenges of the multi-cloud world is, you need to integrate with all of the different players, I don't know that you can ever listen to discussions A lot of enterprise customers not born in the cloud, and how all of that can be linked to our solution set. into the proper compare, and set expectations the right way. Well, Brendon thanks so much for stopping by and having a chat with Stu and me. We want to thank you for watching theCUBE,

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
BrendonPERSON

0.99+

GeorgePERSON

0.99+

AmazonORGANIZATION

0.99+

LisaPERSON

0.99+

Lisa MartinPERSON

0.99+

AnthonyPERSON

0.99+

MicrosoftORGANIZATION

0.99+

Brendon HowePERSON

0.99+

Stu MinimanPERSON

0.99+

GoogleORGANIZATION

0.99+

StuPERSON

0.99+

AWSORGANIZATION

0.99+

Mandalay BayLOCATION

0.99+

BrendanPERSON

0.99+

Jean EnglishPERSON

0.99+

Las VegasLOCATION

0.99+

VegasLOCATION

0.99+

12 and a half yearsQUANTITY

0.99+

todayDATE

0.99+

NetAppTITLE

0.98+

fourDATE

0.98+

NetAppORGANIZATION

0.98+

a dozen years agoDATE

0.97+

five years agoDATE

0.97+

about 5,000 plus peopleQUANTITY

0.97+

EachQUANTITY

0.96+

Cloud Volume ServicesORGANIZATION

0.95+

SAP HANATITLE

0.94+

one aspectQUANTITY

0.94+

firstQUANTITY

0.94+

NetApp Insight 2018EVENT

0.94+

theCUBEORGANIZATION

0.94+

Big BangEVENT

0.92+

OneQUANTITY

0.91+

first placeQUANTITY

0.91+

oneQUANTITY

0.89+

this morningDATE

0.87+

AzureTITLE

0.85+

about a minuteQUANTITY

0.84+

KubernetesORGANIZATION

0.82+

2018DATE

0.81+

NetApp Insight 2018TITLE

0.76+

decadesQUANTITY

0.75+

AzureORGANIZATION

0.69+

NetApp InsightTITLE

0.64+

ast questionQUANTITY

0.59+

theCUBETITLE

0.5+

Phoebe Goh, Netapp & Paul Stringfellow, Gardner Systems


 

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

Published Date : Oct 24 2018

SUMMARY :

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

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Phoebe GohPERSON

0.99+

GeorgePERSON

0.99+

Lisa MartinPERSON

0.99+

George KurianPERSON

0.99+

Stu MinimanPERSON

0.99+

Paul StringfellowPERSON

0.99+

EuropeLOCATION

0.99+

AmericaLOCATION

0.99+

AustraliaLOCATION

0.99+

StuPERSON

0.99+

VegasLOCATION

0.99+

Mandalay BayLOCATION

0.99+

Stu MinimanPERSON

0.99+

PaulPERSON

0.99+

PhoebePERSON

0.99+

three yearsQUANTITY

0.99+

AWSsORGANIZATION

0.99+

Gardner SystemsORGANIZATION

0.99+

five yearsQUANTITY

0.99+

26 yearQUANTITY

0.99+

GooglesORGANIZATION

0.99+

Las VegasLOCATION

0.99+

CUBEORGANIZATION

0.99+

North AmericaLOCATION

0.99+

bothQUANTITY

0.99+

SunnyvaleLOCATION

0.99+

NetAppORGANIZATION

0.99+

both waysQUANTITY

0.98+

DropboxORGANIZATION

0.97+

oneQUANTITY

0.97+

theCUBEORGANIZATION

0.97+

Office 365TITLE

0.97+

four daysQUANTITY

0.96+

NetAppiansORGANIZATION

0.96+

this morningDATE

0.94+

NetappORGANIZATION

0.94+

NetAppTITLE

0.91+

30 peopleQUANTITY

0.89+

A-TeamORGANIZATION

0.86+

NetApp Insight 2018TITLE

0.79+

aboutQUANTITY

0.75+

one of thoseQUANTITY

0.74+

couple of guestsQUANTITY

0.7+

AzuresTITLE

0.66+

Renee Yao, NVIDIA & Bharat Badrinath, NetApp


 

>> Announcer: Live from Las Vegas, it's theCUBE, covering NetApp Insight 2018. Brought to you by NetApp. >> Welcome back to theCUBE, we are live. We've been here all day at NetApp Insight in Las Vegas at the Mandalay Bay. I'm Lisa Martin with Stu Miniman and we're joined by a couple of guests. One of our alumni, Bharat Badrinath, the V.P. of Product Solutions and Marketing at NetApp. Hey, Bharat, welcome back. >> Thank you, thanks for having me. >> And we've also got Renee Yao, who is a Senior Product Marketing Manager for Deep Learning and AI Systems at Nvidia. Renee, welcome to theCUBE. >> Thanks for having me. >> So guys, this is a pretty big event. NetApp's biggest customer-partner event, the keynote, standing room only this morning five thousand plus people, lot of buzz, lot of momentum. Speaking of momentum, NetApp and Nvidia just launched an interesting partnership a couple months ago. Bharat, talk to us about how NetApp is working with Nvidia to really take advantage of AI and allow your customers to do that as well. >> Sure. So, as we started talking to customers and started looking at what they were investing in, AI bubbled up, right up to the top. And given our rich history in NFS, high performance NFS, it became an obvious choice for NetApp to invest in this space. So we've been working with Nvidia for a really long time, probably close to a year, to start integrating our products with their DGX-1 supercomputer and providing it as a single package to our customers, which makes it a lot easier for them to deploy their AI instead of waiting months for testing infrastructure, which the data scientists don't want to do. We get them a pre-tested, pre-validated system and our All-Flash Fast, which has been winning multiple awards and the recent A800 announcement were perfect choice for us to integrate into this architecture for the system. >> Alright, Renee, in the keynote this morning, the Futurist, he said-- We talked about data as the new oil, he said AI is the new electricity. Maybe you can speak a little bit as to why this is so important. Having gone to a lot of shows this year, it felt like every single show I go to, I see Nvidia, arm in arm with partners, because there's a huge wave coming. >> Yes, absolutely, and I think there was this hype about data, there was this hype about AI, and I think the years of Big Data World, that's creating data, absolutely the foundation for AI, and AI as the new electricity is a very, very good analogy. And let's do some math, shall we? So Swiss Federal Railway, it's a very good customer of ours. For those of you who don't know, they're kind of like the heart or center of all the railway tracks going through, serving about 1.2 million passengers on a day-to-day basis. Securing their security is very, very important. Now, they also have a lot of switches that turn on, then the train can go by and with the tunnels and bridges and switches, so they need to make sure that these trains actually don't collide. So when one train goes by with 11 switches, that gives you 30 ways of possible routing. Two trains, 900 ways. 80 trains, 10 to the eightieth power of ways. That's more than the observed atoms in the universe. And they actually have more than 10 thousand trains. So think about, can human being possibly calculate that much data and possibilities in their brain? As smart as we all want to think we all are, they turn to DGX, and the full day of simulation on DGX-1 was only 17 seconds for them to get back results. And I think that analogy of AI as the new electricity, just talking about the speed of light, is very spot on. >> So this isn't hype anymore, this is actually reality. And you gave a really great example of how a large transportation system is using it to get almost real time information. Bharat, talk to us about NetApp storage, history, 26 years, you guys have really made a lot of pivots in terms of your digital transformation, your cultural transformation. How are you helping with, now, kind of the added power of Nvidia, helping customers to, the hype's gone, actually deploy it, live it, and benefit a business from it? >> Yeah, absolutely, I think, as you rightly pointed out, NetApp has made a lot of pivots. Right, and I think the latest journey in terms of being empowering our customers with data has been a very powerful mission for the company. We entered the Flash market a little bit later than our competitors, but we have made dramatic progress in that space. In fact, recently, based on the latest IDC report, we were number one in All-Flash market worldwide, so that is quite an accomplishment for a company which was late to the market. And having said that, that's because of the innovation engine that is still alive and well within NetApp. We're announcing, as you've seen in the conference, we're announcing a lot of new products and technology which are way ahead of what our competitors are offering, but I think it is all hinged on what our customers need. The customer benefits because, yeah, it has profound benefit of changing how customers operate, their entire operations, it can transform dramatically overnight. And as Renee pointed out, Big Data gave the foundation which collected all the data, but wasn't able to process it. But AI with the power of Nvidia and DGX is able to utilize that to create those outcomes for customers. And from our perspective, we bring two key value adds to the space. One, we're able to serve up the data at incredibly high speeds with our award-winning All-Flash systems. But more importantly, data today lives everywhere. If you think about it, edge is becoming even more important. You can't expect an autonomous car to make an instantaneous decision without the backing of data, which means it can't, everything can't reside in the cloud, it may be at the edge. Some of it may be at your data center. How do you tie all three together, edge, core, and cloud? And that's where the data fabric, the vision of data fabric that you saw today comes in the picture. So one is performance, the ability to stream up the kind of data at the speed of the new processors are demanding, at the speed the customers are demanding to make business decisions and also the edge to core to cloud, our data fabric, which is unique and unparalleled in the industry. >> Now, I'm wondering if you could both bring us inside the customers a little bit. If I think of the traditional storage customer, I need performance, I have more and more data that I need to deal with. But Renee pointed out real outcomes, which is beyond what a traditional storage person would be doing. Who are you working with at the customers-- How do they put together-- It almost sounds like you're building a car. I've got the engine, I've got all the pieces. Who helps put this whole solution together? How does the partnership on the customer's side go together? >> That's a great question. I'll give my take and you can jump on it because she's just returned from being on road shows with joint customers and prospects. So I believe it has to be a joint decision. It's not like IT does it first and the data scientists come in later. Although it may be the case in certain instances where the data scientists start the discussion and then the IT gets brought in. In an ideal case, just like building a car, you want all the teams to be sitting together, make sure they're making the right calls because every compromise you make at one end will impact the other. So you want to make sure you make the optimal decision end to end. And that's where some of our channel partners come in who kind of bridge the data scientist team and the IT team. In some cases, customers show up with data scientists and IT teams together and some, it's one after the other. >> Absolutely. We see the same thing when we're on the road show. Literally two weeks ago, in Canada, by the way, there was a snowstorm, and it was an unforeseen snowstorm, you don't get snowstorm in October-- >> Yes, even for Canada, it was unforeseen. >> Yeah, and we had a packed room of people coming to learn about AI and in the audience, we absolutely see people from the infrastructure side, from the data center side, from the data scientist side, and they realized that they really have to start talking because none of them can afford to be reactive. For example, the data scientists, we want to do the innovation. I can't just go to the infrastructure guys and say that, "Hey, this is my workload, do something about it." And the infrastructure guys don't want to hold on to that problem and then don't know what to do with it. They really need to be ahead of everything and I think the interesting thing is, among those four cities that we're at, we see customers from the government, oil and gas, transportation, health care, and just any industry you can think of, they're all here. One specific example, do you know Mike's company that actually came to us, they have about 15 petabytes of data and that's storing 20 years of historical data and they only have two staff and they were not hiring more staff. They were like, "We just want something that's "going to be able to work and we know everything, "so just give us a solution that's going to be able to "easily scale up and out and enable us to continue to "store more data, manage more data, "and get insights out of data fast." So they came to both of us, it's just a very good, natural decision. That's why we have a partnership together as well. >> So you guys talked about kind of connecting the data scientists with the infrastructure folks. Where's the business involved in this conversation? In terms of, we want to identify new products and services to deliver faster than our competition, new markets. Talk to us about, are the data scientists and the infrastructure guys and girls following business initiatives that have been set or are the business leaders involved in these joint conversations? >> Go ahead, you take it. >> Sure. So, I think we see both. We definitely see that there's top-level executives saying that this is our initiative and we have to do it. And they will make the decision that we have to refresh our infrastructure from the ground up to make sure we're supportive of our data scientists' innovation. We've also seen brilliant minds, researchers, data scientists doing amazing things and then roll it up to the VP level and then roll it up to CEO level to say that this has to be done because this-- For example, that simulation of 17 second results, it's things that people used to cannot do in their lifetime, now they can do it in seconds, that kind of innovation just cannot be ignored. >> Yeah, we see the same thing. In fact, any team that has possession of that data or is accountable for that data is the one usually driving the decisions. Because as you mine the data, as you start deploying new techniques, you realize new opportunities, which means the business gets more interested in it and vice versa. If the business is interested, they're going to look for those answers within the data that they have. >> So last thing, Renee, you were on the Women in Tech panel that ended yesterday, Bharat and I were both in the audience, and one of the things that I thought was really inspiring about your story is that you had given us, the audience, an interesting example of a TV opportunity that you were inspired to do by the CEO of Nvidia. Give our audience who didn't have a chance to see that panel a little bit, and in the last minute, of that story and how you were able to step forward and go, "I'm going to try this." >> Yeah, of course. I think that brings us back to the concept that we have at Nvidia, the speed of light concept, and you really have to learn, act, to move at the speed of light, just like our GPUs, with extreme performance. And obviously, at that speed, none of us know everything. So what Jensen, CEO, shared with us was, in an all-hands meeting internally, he told us that none of us are here qualified to do any of our jobs, maybe besides his legal counsel and CFO. And all of us are here to learn, and we need to learn as fast and as much as we can. And we can't really just let the competition determine where our limit is, but instead is by the limit of what is possible. So that is very much a fundamental mindset change in this AI revolution. >> Well thanks so much, Renee and Bharat, for stopping by and sharing with us the exciting things that you guys are doing with NetApp. We look forward to talking with you again soon. >> Thank you. >> Me too, thanks. >> For Stu Miniman, I'm Lisa Martin. You're watching theCUBE, live from NetApp Insight 2018 in Las Vegas. Stu and I will be right back with our next guests after a short break. (techno music)

Published Date : Oct 23 2018

SUMMARY :

Brought to you by NetApp. in Las Vegas at the Mandalay Bay. And we've also got Renee Yao, the keynote, standing room only this morning and providing it as a single package to our customers, Alright, Renee, in the keynote this morning, and AI as the new electricity is a very, very good analogy. kind of the added power of Nvidia, So one is performance, the ability to stream up How does the partnership on the customer's side go together? the optimal decision end to end. We see the same thing when we're on the road show. and they realized that they really have to start talking the data scientists with the infrastructure folks. refresh our infrastructure from the ground up If the business is interested, they're going to look for and one of the things that I thought was the speed of light concept, and you really have to learn, We look forward to talking with you again soon. Stu and I will be right back

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

ReneePERSON

0.99+

NvidiaORGANIZATION

0.99+

Renee YaoPERSON

0.99+

StuPERSON

0.99+

20 yearsQUANTITY

0.99+

MikePERSON

0.99+

10QUANTITY

0.99+

CanadaLOCATION

0.99+

11 switchesQUANTITY

0.99+

30 waysQUANTITY

0.99+

80 trainsQUANTITY

0.99+

900 waysQUANTITY

0.99+

Swiss Federal RailwayORGANIZATION

0.99+

Stu MinimanPERSON

0.99+

one trainQUANTITY

0.99+

BharatPERSON

0.99+

Two trainsQUANTITY

0.99+

Bharat BadrinathPERSON

0.99+

OneQUANTITY

0.99+

OctoberDATE

0.99+

26 yearsQUANTITY

0.99+

bothQUANTITY

0.99+

Mandalay BayLOCATION

0.99+

Las VegasLOCATION

0.99+

more than 10 thousand trainsQUANTITY

0.99+

DGXORGANIZATION

0.99+

NetAppORGANIZATION

0.99+

yesterdayDATE

0.99+

17 secondsQUANTITY

0.99+

two weeks agoDATE

0.99+

two staffQUANTITY

0.98+

five thousand plus peopleQUANTITY

0.98+

two keyQUANTITY

0.98+

todayDATE

0.98+

this yearDATE

0.98+

JensenPERSON

0.97+

single packageQUANTITY

0.97+

Deep LearningORGANIZATION

0.97+

NetAppTITLE

0.96+

IDCORGANIZATION

0.96+

oneQUANTITY

0.96+

NVIDIAORGANIZATION

0.96+

about 1.2 million passengersQUANTITY

0.95+

SystemsORGANIZATION

0.94+

eightieth powerQUANTITY

0.94+

firstQUANTITY

0.94+

NetApp InsightORGANIZATION

0.92+

couple months agoDATE

0.91+

this morningDATE

0.89+

about 15 pQUANTITY

0.89+

a yearQUANTITY

0.87+

DGX-1 supercomputerCOMMERCIAL_ITEM

0.87+

Big DataORGANIZATION

0.86+

17 second resultsQUANTITY

0.84+

couple of guestsQUANTITY

0.78+

theCUBEORGANIZATION

0.77+

four citiesQUANTITY

0.76+

number oneQUANTITY

0.76+

threeQUANTITY

0.75+

Alok Arora & Jennifer Meyer, NetApp | NetApp Insight 2018


 

(electronic music) >> Announcer: Live from Las Vegas, it's theCUBE. Covering NetApp Insight 2018. Brought to you by NetApp. >> Welcome back to theCUBE's continuing coverage of NetApp Insight 2018. From the Mandalay Bay in Las Vegas. I'm Lisa Martin with Stu Miniman and we're welcoming back to theCUBE one of our alumni, Jennifer Meyer, Senior Director of Cloud Product Marketing at NetApp. And welcoming to theCUBE Alok Arora, Senior Director of Cloud Data Services and the Product Owner for NetApp Cloud Advisor, which we'll talk about today. So guys, the keynote this morning, one of the things that George Kurian, your CEO, whose going to be on the program I think next with Stu and me, talked about the four pillars of digital transformation, and one of them was hybrid and multi-cloud is now the de facto architecture. Jennifer, from a cloud marketing, product marketing stand point, how is NetApp engaging with your customers, both your install base enterprise customers and engaging with new customer to help them evolve a successful multi-cloud strategy? >> Well what's funny about that is it's not really even up to us, it's up to the customer and where they're at today, meeting them there and then taking them kind of to that destination that's interesting or important for them. And what we know today is that not only are customers in the cloud because they want to be close to innovation, that's one of our big themes, inspiring innovation with the cloud, but they've got their hands in multiple clouds. And studies show that at least 80-81% of customers are doing multi-cloud with two or more public clouds, and I think that's really interesting, you know I think that in some cases it's because their end uses, or their customers, have chosen a cloud that they want to go with and so they're trying to service those needs where they exist, but also maybe they realize that they want to subscribe or consume services in one cloud versus what's available in another cloud, and so it's not our job really to tell them where to go, it's to make sure we've got a consistent seamless amount of services to give these customers to consume, wherever they may be, in whichever public cloud. >> Yeah, well I like what you said, meeting them where they are, cause I think in some ways we're giving customers a little bit of credit that this was actually planned for as to how they got to where they are, you know I'm sure if we took that 81% that say they know they're multi-cloud, if we go with the other 19%, most of them are probably multi-cloud and just don't realize it. >> Jennifer: Absolutely. >> Because just like we had an IT in the old day, I have an application, a business unit, or somebody drives something, and oh my gosh, that's how we ended up with silos, we ended up breaking those things apart. >> Or shadow IT, right? You've got a lot of developers that know exactly what tools they want. >> We had a good discussion with Anthony Lye and Ted Brockway talking about Azure and some unique functionality that NetApp's looking to drive into that partnership with Microsoft. I wonder if we could step back, if you could help us understand kind of the cloud portfolio of NetApp, people that just know NetApp as "Oh it's, that's that filer company that I've probably "got a lot of products from." The multi-cloud has been evolving, for quite a few years now, so I want to help understand the breadth and depth of the offering. >> That's right and I think you know we always think about it almost like a four layer stack, in terms of our strategy and what we're doing to bring more of these innovative data services to our install base to your point, but also our net new buyers, folks that are coming to us through Microsoft Azure, or Google Cloud, or AWS, and so it really does start with our legacy and our foundation of, in this case, cloud storage, and the data services, or the advanced data management that's built upon those storage protocols. So of course it's NFS, NSMB, but when you think about being able to offer that, and compliment what's available in the public clouds today, because that's why they've chosen to partner with NetApp. On top of that we are delivering advanced services in those public clouds that have never been available before, things like automatic snapshots, or rapid cloning, and backup, and tiering, and I think it's really important because what it does is it extends our customers' experience from On-prem into the public cloud, without having to sacrifice a thing. >> Alok, it's a tough thing that customers are trying to figure out. When I look at it and talk to customers, they've got an application portfolio. What are they modernizing? What are they starting from fresh? And then they've got all the other stuff that they have, how is NetApp helping with what they do? >> Yeah, absolutely, I think that's a great point. So you talked about the offerings that we have with multi-cloud and that creates all the options for future state architecture, I can build there, however, in order to understand how do I get there I need to understand where I am today, right? So we start looking at your current state footprint, we look at our customer's current state footprint. Understand how it is architected. How it is designed, how it is serving up the applications. Because it can be really a tedious job to get started, to get to the cloud and building the roadmap. So what Cloud Advisor does is it leverages active IQ data to get that inside for us and be leveraging data science, machine learning, to give them a guidance as to how they can get there. What should be their migration approach. How should they build a transition strategy. Because a lot of times they would call the consultants to help with the transition strategy, at the end they get a PowerPoint, which is not very actionable. We started this grounds up, we understand their detail you know, how the stuff, the bits and bites, are organized so we start giving them an actionable strategy they can execute upon. So that's really Cloud Advisor geared for accelerating that journey to the cloud that our customers should be taking to. >> How are you guys helping customers to start embracing emerging technologies, IoT devices, we had Ducati on this morning, a MotoGP bike is basically an IoT device, but in terms of, Jennifer you talked about this, and Alok you reinforced it, you are basically co-developing in partnership with your customers, it's about where they, helping them understand where they are, what they can do today. How are some of the services helping them to be able to harness the power of AI, say for example, to work with data authority to use that data for actionable business insight, and outcomes? >> Yeah it's interesting you talk about the IoT, I think NetApp saw that 20 years ago. I mean ASAP is our original IoT, that is what we get billions of data points from our customers. Controllers, millions of controllers worldwide, and we build on that mirror data, and we apply the artificial intelligence in there. We actually start looking at classifying their applications so that, if they have a strategy driven by the application, as you were saying, hey there is a director from a BU, from majority point of view, we want to take these applications in the cloud. How do you figure out what application are? Where does the data live? How does it governed? We figure that out by that IoT data, by that artificial intelligence and also making sure that these applications, no work loads are left behind because applications can be complicated they talk to each other. So when you start thinking about taking one part of the application, you also want to make sure the other parts that make that application whole also go to the cloud. And that is where we're leveraging Artificial Intelligence to cluster these applications and recommending the customer that: "Hey don't make, don't leave these workloads behind "because otherwise you're going to have a failed strategy." So we warn them upfront to make sure they're successful when they start making the executions. >> I think another piece to that too is just the fact that for many years we've had workloads just trapped On-prem. They haven't had a place to go into the public cloud without a ton of refactoring or rearchitecting, right. You'd have to rewrite them for objectory. You'd have to do a lot of manual labor and things just to make it happen. In most cases it hasn't been worth it. And so when you looked at the fact that about 80% of On-prem files where in NFS V3 protocol, there wasn't really a place in the public cloud to match that and so by even just delivering Cloud Volumes Service for Google Cloud and AWS or Azure NetApp Files which is the version for Azure, we're able to give customers an, a way to free up that trapped set of workloads, put those into the public hub, so that it then can be available to all of those advanced services that live on those public clouds to do things like Big Data Analytics or to do developing, you know, applications and services of their own and for their own benefit. >> You Know. >> Yeah I think that's a great point because >> He's so excited.| >> Sorry. >> Because when you start looking at building your strategy you want to have confidence in your strategy. >> Jennifer: right. >> So, with your protocols and all that discovery. We also not only give you the option that NetApp offers but show you what are the other options you have within Hyperscalers and how would your workload perform with NetApp technology. So you can move with confidence, right. So that's the good part of about Cloud Advisor to make sure you're moving with confidence not just, you know, with a blind spot with you. >> You know one of the transitions we've been watching is really the ascendancy with the developer in DevOps. And I've talked to the SolidFire team for many years, I see them at some of the shows that we've been covering. In the Keynote this morning George Kurian said that Kubernetes and Istio are the multi-Cloud control plane. Jennifer I'm wondering if you can help explain the StackPointCloud acquisition. >> Jennifer: (agrees) >> Some people that might not have the context of about what NetApp and SolidFire, even before the acquisition were doing. You know, we're being like: "Wait I don't understand, you know." >> Sure. >> Kubernetes is something That you know Google and you know, Red Hat and others are doing. >> Why is NetApp talking about Kubernetes? >> Why is NetApp talking about Kubernetes? >> And we even learned what the abbreviation for is was. >> Stu: K8s. >> It's like we're all hip. Absolutely. >> Absolutely, just because. >> It's all about concatenate long words together. So it, it's really interesting because when I talked about that four layer strategy, right the third layer. So it's you know cloud storage at the bottom. Then it's the advanced capabilities and data management above that. But the one that's next is orchestration and integration. And there's really a few things that live in there. You know, the, our cloud orchestration sort of technology is really what we got from our Qstack acquisition. Our teams in Iceland and what they've been able to do largely to underpin a lot of what we've seen with cloud volume service today. But certainly right in there is NetApp Kubernetes service, which as you now know, is from our StackPoint intellectual property. And so back on September 18th, when we announced this acquisition it was really to kind of give our developers and our DevOps folks a way to finally start solving for some of that data gravity that I think we've been periled by over the last few years. And what we now know is Kubernetes is the operating system of the clouds, right. It is the clear winner of container orchestration among things so it made a lot of sense to pair that kind of multi-cloud orchestration again given our strategy to be where our customers want to be with some of our cloud orchestration technology from our Qstack acquisition and make sure that with Trident and some of the ways that we're able to deliver finally persistent storage to those containers. I mean this is like a match made in heaven. Right, we're going to give people the way to make sure that they know that containers are a femoral and data is not. So let's help them do kind of all the things that they want to do in the clouds if they want to do them. >> I think I read on line that, was the StackPointCloud acquisition based on after actually NetApp used it internally. >> Jennifer: Yes. >> Tell us a little bit more about that. Because I think the NetApp on that up story is probably something that could be leverage, you're a marketer, as a differentiator when customers have so much choice. >> Well and I feel like it's a story that every vendor should be forced to tell. If you're not willing to use your own IP and technology what is that saying to your customers. >> Lisa: Yeah. >> So it is true and a lot of our developer teams, if you've hear of Jonsi Stefansson and Anthony Lye's team, that is how this sort of came about as we were looking for a way to sort of do it ourselves. And we thought man through all this investigation there's something here. There's something that we shouldn't hold to ourselves and we should share with the rest of the world. And so at one point we need to get those guys on with you as well so they can tell a little bit more about their story. >> So proof is always in the pudding. Can you give uan example of one of your favorite customer stories. We'll start with you Alok. Who have really embraced the clouds, first of all helped you develop the optimal cloud services are now really achieving big business benefits with the cloud services NetApp is developing. >> Yeah so, several of the customers as we talked to you and specially for Cloud Advisor, as we were looking at their journey as they were starting to think about how much money they were spending upfront to figure out a strategy, they had a strategy driven by a data center that was, were the lease was coming up, and so they had to plan to evacuate that data center into the cloud from there they need to figure out what applications they're running there obviously the virtualization also was there, so that had to be configured in the cloud. So we started thinking about in that use case that we need to provide these triggers and strategy points to our customers. At the same time the other shift that we saw was that these guys were not just talking amongst the infrastructure teams, they had to talk to the application owners and they had to have conversations with CFO's to talk about the economics of the clouds. So we made sure that when we build this that give them the tools that enable them to talk to various stakeholders. Give them the application footprint that is running there. Give them the economics. What it is going to cost to run these applications and workloads that they have identify too when they're in the cloud. So give them the data point that they can go and talk to their CFO. So with that really it starts shaping a product that will meet their needs and meet the needs of all of our customers. >> Lisa: Jennifer, favorite customer example. >> Oh, it's easy this week because it's all about WuXi NextCODE and I don't know if you picked up on any of their story cause we've plastered it around our conference this week because we're so proud of, not only what they're doing as a mission which is very impressive in terms of genomics sequencing and the scale at which they're doing it but the fact that they've based their foundation now on NetApp Cloud Volume services is huge. And really what they came to us and said is: "Look, we are trying to sequence all of these genomes "in parallel and our benchmark is really to look at about "a hundred thousand individuals at once." When they were trying to do that on their own, using there own self-managed storage in the cloud, they could never complete it. It would either fail or they would have some sort of a problem where they just couldn't get it to work. And with NetApp Cloud Volume Service they were able to complete in about 45 minutes. And so what their finding is again with this extreme performance, with the ability to scale and most importantly the tie it back to our discussion, it's multi-cloud, they themselves are multi-cloud because of their big pharma and hospitals that they serve. They have customers in every one of those public clouds and so we are able to help them where ever they need us to be. And that's very exciting. >> It's also one of those great examples that everybody understands. Genomic sequencing related to healthcare, you know disease predictions and things like that. So it's a story that resonates well. >> Jennifer: Sure. >> But something that you just said sort of reminded me of one of the four principles that George Kurian talked about this morning. And speed is the new scale. And this sounds like a customer who's achieving that in spades. >> Well it's so fun because I think for a long time we've been really fast On-prem and I think people have just sort of come to expect a certain level of it's good enough in the public cloud and what we're showing them in droves again on AWS GCP or with Azure is that you should expect more. Particularly for high-performance computing workloads or things that you really just, if you're moving your SAP workloads to the cloud and speed is, there is no option it has to be fast. We are showing people now possibilities that they didn't ever dream of before because of this extreme performance through things like Cloud Volumes Service. >> It's really too bad you guys aren't excited about this. (laughs) >> I know how much longer do you have? >> (laughs) Jennifer, Alok, thank you so much for stopping by and having a chat with Stu and me. And talking about how customers are really helping NetApp become a data authority that they need to be to help customers become data driven. We appreciate your time. >> It's our pleasure. >> Have a great time at the rest of the show. >> Thank you. >> Thank you both. >> Thank you. >> For Stu Miniman, I'm Lisa Martin. You're watching theCUBE live from NetApp Insight 2018, from Mandalay Bay, Las Vegas. Stick around Stu and I will be back shortly with our next guest. (electronic music)

Published Date : Oct 23 2018

SUMMARY :

Brought to you by NetApp. and the Product Owner for NetApp Cloud Advisor, and so it's not our job really to tell them where to go, to where they are, you know I'm sure if we took that 81% that's how we ended up with silos, You've got a lot of developers that know to drive into that partnership with Microsoft. folks that are coming to us through Microsoft Azure, When I look at it and talk to customers, the consultants to help with the transition strategy, and Alok you reinforced it, and recommending the customer that: and things just to make it happen. Because when you start looking at building your strategy So that's the good part of about Cloud Advisor is really the ascendancy with the developer in DevOps. Some people that might not have the context That you know Google and you know, It's like we're all hip. So it's you know cloud storage at the bottom. I think I read on line that, something that could be leverage, Well and I feel like it's a story and we should share with the rest of the world. We'll start with you Alok. and they had to have conversations with CFO's and most importantly the tie it back to our discussion, So it's a story that resonates well. But something that you just said and speed is, there is no option it has to be fast. It's really too bad you guys aren't excited about this. and having a chat with Stu and me. with our next guest.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
George KurianPERSON

0.99+

Lisa MartinPERSON

0.99+

Jennifer MeyerPERSON

0.99+

JenniferPERSON

0.99+

MicrosoftORGANIZATION

0.99+

LisaPERSON

0.99+

September 18thDATE

0.99+

IcelandLOCATION

0.99+

AlokPERSON

0.99+

Ted BrockwayPERSON

0.99+

Mandalay BayLOCATION

0.99+

Stu MinimanPERSON

0.99+

StuPERSON

0.99+

twoQUANTITY

0.99+

GoogleORGANIZATION

0.99+

81%QUANTITY

0.99+

19%QUANTITY

0.99+

Alok AroraPERSON

0.99+

Anthony LyePERSON

0.99+

Las VegasLOCATION

0.99+

AWSORGANIZATION

0.99+

oneQUANTITY

0.99+

NetAppORGANIZATION

0.99+

Cloud Data ServicesORGANIZATION

0.99+

third layerQUANTITY

0.99+

bothQUANTITY

0.99+

SolidFireORGANIZATION

0.99+

todayDATE

0.99+

QstackORGANIZATION

0.99+

theCUBEORGANIZATION

0.98+

NetAppTITLE

0.98+

four principlesQUANTITY

0.98+

Red HatORGANIZATION

0.98+

TridentORGANIZATION

0.98+

Cloud AdvisorORGANIZATION

0.98+

PowerPointTITLE

0.98+

about 45 minutesQUANTITY

0.97+

Jonsi StefanssonPERSON

0.97+

this weekDATE

0.96+

one partQUANTITY

0.96+

20 years agoDATE

0.95+

one pointQUANTITY

0.95+

billions of data pointsQUANTITY

0.95+

Mandalay Bay, Las VegasLOCATION

0.95+

four layerQUANTITY

0.94+

AzureTITLE

0.94+

NetApp Cloud Volume ServiceTITLE

0.94+

Azure NetAppTITLE

0.93+

NetApp Insight 2018TITLE

0.93+

this morningDATE

0.93+

DucatiORGANIZATION

0.92+

about 80%QUANTITY

0.92+

a hundred thousand individualsQUANTITY

0.92+

Anthony Lye, NetApp & Tad Brockway, Microsoft | NetApp Insight 2018


 

>> Announcer: Live from Las Vegas, it's theCUBE, covering NetApp Insight 2018. Brought to you by NetApp. >> Welcome back to theCUBE, we're live at NetApp Insight 2018 from the Mandalay Bay, in Las Vegas, I'm Lisa Martin, my co-host for the day is Stu Miniman. We're welcoming back two distinguished alumni to theCUBE, we've got Anthony Lye SVP and GM of the Cloud BU at NetApp. Hey, Anthony, welcome back. >> Hello, thank you very much. >> Fresh from the keynote stage. And we've also got a Tad Brockway, the head of product Azure Storage, Media and Edge at Microsoft, Tad, welcome back. >> Yeah, thank you. >> So guys, this is day one, keynote this morning, it was standing room only, 5,000 plus people here, Jean English was on your CMO of NetApp and said, most ever customers and partners under one roof at NetApp. So that's exciting. Let's talk about partnerships. NetApp has been around 26 years and the slide of partners and sponsors this morning was like a NASCAR slide. Tell us Anthony, about what you guys are doing, and how you're evolving your relationship with Microsoft? >> Oh, I mean, I think of all the relationships, Microsoft is unique. Tad and I have worked together now for over a year. >> Yeah, yeah. >> And it's an engineering relationship. There is absolutely no doubt about it. We are doing things in Azure that nobody else has ever done. I think we sort of bring 26 years of NetApp experience to the infinite possibilities that Azure brings to its customers. It's transformation based on, very reliable infrastructure. So you get all the forward looking values of Azure, complemented by the 26 years of NetApp. >> Yeah, it's a great way to-- >> So a year ago, at this very event, NetApp Insight 2017, you announced some exciting things. One of them being Azure NetApp files. >> Anthony: Correct. >> Tell us about, a year later, where you are with that? I know McKesson, big brand in healthcare, they're going to be on stage tomorrow, give us a little bit of perspective about what that announcement has transformed into, one year in? >> Well, let me give you my perspective and then Tad, you should obviously give the view of Microsoft. For NetApp, it's given our customers confidence and confidence in their choice of public Cloud, that they now feel that Azure has distinct advantage in that it can land workloads that today currently run on NetApp. And they have the confidence that Microsoft has selected NetApp, that Microsoft will sell the service, Microsoft will support the service, Microsoft will build the service. I think we've also done something quite unique in the way the service is delivered. We could have just thrown up storage and said to customers, "You manage it." But I think together, we wanted to try and provide almost like dial tone, we just wanted storage to be there, and we wanted to give people performance guarantee. So they felt very comfortable picking a particular performance level with a particular workload. And that's not been done before. So, we're seeing fantastic results from customers, we have a backlog that's growing by the day, and customers who have been onboarded onto the system, have rave things to say about it. You'll hear from one of those customers tomorrow on stage with Tad and I. But Tad, how would you characterize the year? >> Yeah, sure. So, a lot of engineering effort, and that's the thing that makes this, customers don't care about how something is implemented, they care about the value that they get out of it. But it's because we've put so much effort into this across our companies, from an engineering standpoint, that there's nothing like this in the industry today. As we roll this out into Azure regions around the world, it is going to be a highly differentiated offering. And that's because fundamentally, what we're doing is, we're bringing Azure NetApp into Microsoft data centers, and we're wiring NetApp ONTAP directly into Azure. So we've worked together on the design for some advanced networking capability, all the way down to the switch level, where we have very low latency, very high throughput from the Azure Public Cloud, all of the infrastructure, all of the customers VMs, directly into ONTAP, very low latency, very high bandwidth. So all of the performance characteristics of ONTAP on-prem, and then bringing that into the Public Cloud. So you get really a no compromise transformation for your existing apps and you get the ability to provision that app volumes in a way that is fundamentally unique, it fits with the whole Cloud paradigm of being able to pay for your resources as you go, the democratization of IT so that individual business units can go provision volumes. So it really is Cloud paradigm plus all of the performance capabilities of ONTAP. >> I wonder if we can unpack that a little bit. When I think about Microsoft and NetApp, you both have really, it's called today Hybrid Multi Cloud. But Microsoft it's been given a lot of credit that it's got a strong Hybrid strategy. When I think back, I mean, Microsoft's always had storage as part of the Stack. If today, and Azure Stack, you've got Storage Spaces Direct, you've got a Cloud first strategy. So I want to be able to do the same thing in public Azure as when I'm building solutions, put it in the environment, can you help connect, where does that this ONTAP solution fit in there? Because, some people would say, "Well, come on Microsoft, "wouldn't you just build this with your own solutions?" Why do you turn to NetApp? >> So, it's true, I guess, the spirit, I think the spirit of what you're asking is, it's an observation that what brings our companies together is an appreciation for enterprise customers being able to do things on their terms. That involves customers taking existing IT workloads and then transforming them over to the cloud, as opposed to zeroing everything out and starting over, that's just not realistic. So, it's the strategy for Microsoft and the strategy for NetApp, and then our partnership together to meet customers where they are, help them evolve. So scenarios like Hybrid, they fit very nicely within that and Microsoft's portfolio with Azure Stack and some of the other things that we're doing there with Data Box, and so on. These are edge investments that are intended to extend the reach of Cloud into customer environments. And then to make it really easy for customers to take their existing assets, and then take advantage of the Cloud. That fits with the whole model of what we're doing with ONTAP as well. >> Anthony, we would love to hear your piece because there's NetApp pieces that are going into the Cloud but we see Microsoft, the Cloud is the starting point, we start in the public Cloud, and then that pushes out to the edge. >> Yeah, I think, I would make two points, I think, just to reinforce what Tad said, that there's just a technology that sits behind the file system that you cannot underestimate the importance of what Dave Hitz really started. I mean, ONTAP does things that no other file system can do. It manages the data in a very particular way, it allows us to run NFS and SMB protocols on the same volume for certain use cases. It has almost linear performance throughput characteristics. And we've been able to take that file system and then build intellectual property for certain workloads. So, NetApp is really the most commonly deployed platform for SAP. We are probably still the biggest platform for Oracle Database deployment, for MySQL deployment. So I think there's a technology, I think there is a sort of a history and legacy in Linux and open source based workloads, that we have an understanding of that adds to Microsoft. Now, the second point I would say is, I personally agree very much with Tad, but I think what you're going to see is IT will be redefined by Cloud. What I mean by that is, the Cloud will essentially establish the baseline and then push itself and it's sort of it's own access control lists, security models, those will end up getting pushed back to IT. So I think you're going to see a Cloud defined IT business as opposed to an IT defined Cloud. >> Yeah, I buy that. >> And I think there's just so much elegance and simplicity and scalability in Azure. Now, they had 25 years of watching everybody else make a mess of legacy IT, and now Azure is such a pure environment that it can extend, I think, and provide tons of value outside of Azure. >> So you guys mentioned, I think, Anthony, you mentioned when we kicked off, that this is really kind of an engineering partnership, when if we look at the history that both NetApp and Microsoft, have massive install basis of customers, customers that didn't start out in the digital era, obviously, customers that are born in that too. I'm curious, you mentioned about IT, from a joint selling standpoint, where are these conversations initiating? Are you talking with the IT folks? Are you going to the business folks who are having a more business outcomes led conversation? So Anthony, I will start with you? >> Well, so I would say, my favorite line about Cloud was, actually a line Marc Benioff quoted which was, what Clouds do is they democratize innovation. And if you think about that for a second, the environments that we grew up in, the big companies had a material advantage in their use of technology. The small companies couldn't afford to do it. You look at Azure now, and any single person on the planet can consume Azure. They don't need permission, in many cases, and ideas that would never get through the business case, can now be started on Azure. And there are so many great ideas and concepts that needed that sort of easy onboarding and services that, machine learning and artificial intelligence, there's a handful of companies that could buy that stuff themselves. Azure gives you access to all of that. So I think what's happening is that democratization has sort of infused more buyers. So what used to be a fairly linear process through the CIO has now been fractured. A lot of application developers are buying by themselves. Line of business people are funding project work sometimes without IT's knowledge. So for us, we wanted to make sure that we could allow traditional customers to extend to Azure, traditional customers to migrate to Azure, but we wanted to build a service that would appeal to the new Cloud buyer. To the application developer, to the data scientist. And I think we've done a very good job doing that. >> Yeah, no, I agree. I think, it's the combination of empowering folks to go do things to increase productivity at the individual business unit level, but then do that with technology that has taken decades of thousands of engineers to develop. This combination, there really is nothing like it in the industry, it's really unique. >> At lunch, I was talking to a couple of users here, and they were a little bit nervous, a little bit excited, going to go through some sort of Cloud certification. Cloud is an opportunity for a lot of people to scale up on new skill sets. I'm sure there's new certification. Can you talk a little bit about how you're helping customers move towards the future? >> Yeah, I think we've sort of, in many ways made, ONTAP, very much a relevant service in Azure and what we hope that means is for all of the people that have been very loyal to NetApp and to ONTAP that their skill set now translates into the Cloud compensations. One of the things we'll say, on stage tomorrow is, Microsoft and NetApp have worked together to create a certification that blends the best of what ONTAP can do for workloads, strategy and design with the wealth of services that Azure has. It's awesome to be onstage with Tad, we provide a critical service, but Microsoft has how many services now, in Azure? >> Tad: Oh, Gosh, hundreds. >> Hundreds and hundreds of services. And as a developer, I feel, you're like a kid in a candy store when you're in Azure, you can switch on almost anything and find services that will do incredible things that you could never get from IT. You could just never get those services. What Microsoft has is a scale so vast, I mean, how many data centers will you be at, by the end of the year? >> Well, we're in 54 regions today, and then each region has multiple data centers. >> Anthony: Hundreds. >> So anyway, we're all over the planet. >> So guys, we're out of time, but just really quickly, so we've seen this evolution, you guys have lived this evolution in the last year. The public preview is out for-- >> Azure NetApp files. >> Azure NetApp files, any Sneak Peek you can give us into what some of your customers are going to be saying tomorrow about the business outcomes like, reducing costs, or speed of transactions, that are going to be here tomorrow? >> You should get Brad up here from McKesson because he's awesome. Brad's been on point for it and I think, you'll hear from a customer tomorrow that they plan to bring the biggest enterprise workloads to Azure. I mean, I think when he names the applications, they are non-trivial applications that couldn't move, but now with Azure Netapp files can. I think he's also going to say that as well as benchmarking very well at the big workloads, we actually benchmark very well on the cost curve. That we can migrate workloads and give very good cost, I think characteristics as well as performance. So we've tried to give people that two dimensional flexibility. >> Well, that's going to be something not to miss. So if you're here at NetApp Insight, check it out, if you're not, watch it on their live stream. Tad, Anthony, thanks so much for joining-- >> Thank you, very much. >> Stu and me and sharing with us the momentum and the vision that you're now seeing manifest. We appreciate your time. >> Perfect, thank you. >> From Stu Miniman and I'm Lisa Martin, you're watching theCUBE Live from Las Vegas, NetApp Insight 2018, stick around we'll be back after a short break.

Published Date : Oct 23 2018

SUMMARY :

Brought to you by NetApp. in Las Vegas, I'm Lisa Martin, my co-host for the day the head of product Azure Storage, Media and Edge and the slide of partners and sponsors Tad and I have worked together now for over a year. that Azure brings to its customers. you announced some exciting things. and then Tad, you should obviously give So all of the performance characteristics of ONTAP on-prem, "wouldn't you just build this with your own solutions?" and some of the other things that we're doing there and then that pushes out to the edge. that sits behind the file system and now Azure is such a pure environment that it can extend, customers that didn't start out in the digital era, To the application developer, to the data scientist. of empowering folks to go do things to increase productivity and they were a little bit nervous, a little bit excited, One of the things we'll say, on stage tomorrow is, that you could never get from IT. and then each region has multiple data centers. you guys have lived this evolution in the last year. I think he's also going to say that Well, that's going to be something not to miss. and the vision that you're now seeing manifest. From Stu Miniman and I'm Lisa Martin,

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Marc BenioffPERSON

0.99+

AnthonyPERSON

0.99+

Lisa MartinPERSON

0.99+

MicrosoftORGANIZATION

0.99+

BradPERSON

0.99+

Dave HitzPERSON

0.99+

Anthony LyePERSON

0.99+

Stu MinimanPERSON

0.99+

Jean EnglishPERSON

0.99+

TadPERSON

0.99+

Mandalay BayLOCATION

0.99+

NetAppORGANIZATION

0.99+

Tad BrockwayPERSON

0.99+

25 yearsQUANTITY

0.99+

26 yearsQUANTITY

0.99+

StuPERSON

0.99+

tomorrowDATE

0.99+

a year laterDATE

0.99+

54 regionsQUANTITY

0.99+

last yearDATE

0.99+

a year agoDATE

0.99+

Las VegasLOCATION

0.99+

Azure NetAppTITLE

0.99+

NetAppTITLE

0.99+

MySQLTITLE

0.99+

two pointsQUANTITY

0.99+

second pointQUANTITY

0.99+

each regionQUANTITY

0.99+

Azure NetappTITLE

0.99+

ONTAPTITLE

0.98+

NASCARORGANIZATION

0.98+

LinuxTITLE

0.98+

AzureTITLE

0.98+

todayDATE

0.97+

hundredsQUANTITY

0.97+

Azure StackTITLE

0.97+

bothQUANTITY

0.97+

5,000 plus peopleQUANTITY

0.97+

around 26 yearsQUANTITY

0.97+

Azure Public CloudTITLE

0.96+

Jean English, NetApp & Konstantin Kostenarov, Ducati | NetApp Insight 2018


 

(techno music) >> At Ducati, we create racing bikes and road bikes, and unique experiences for our bikers. The Ducati teams participate in 19 races, in 15 countries, on five continents, as part of Moto GP Championship around the world. When you own a bike, you are part of a new family, the Ducatisti. (engine revving) We have a DNA racing, that we bring into everyday's bike, you can be a racer, or you can be someone who want to go down downtown Bologna, or San Francisco, or Bangkok. Data is at the heart of the Ducati digital strategy, in racing we know how to analyze data, the experience is directly moved to our road bikes. In race bikes and road bikes we have physical sensors, now thanks to machine learning, artificial intelligence, we can bring to data together to create Bitron sensors, that give us information that were not available before. We are looking for a partner that truly understands the value and the power of data, and this happened to be NetAPP. We want to arrange data in new ways, to transform the sport of Moto GP racing, and the road bike experience. NetAPP has controlled data to make experimentation more quickly, the bike we race on Sunday, is the bike we sell on Monday, and we can test the riders sensation through data. I'm Piergiorgio Grossi, and I'm data driven. (techno music) >> Narrator: Live from Las Vegas, it's the Cube, covering NetAPP Insight 2018, brought to you by NetAPP. >> Welcome back the the Cube our continuing coverage today, from the Mandalay Bay of NetAPP Insight 2018, I'm Lisa Martin with Stu Miniman and we have a couple of guests joining us. If you're a Motorsport fan, turn the volume up. First we have, welcoming back to the Cube, Jean English, the SVP and CMO at NetAPP, great to have you back Jean!. >> Oh thank you very much, excited to be here. >> And we have Konstantin Kostenarov, CTO of Ducati Motor, wow Ducati, there is by the way, I encourage you to go to the NetAPP.com web site after the segment here there's a very cool video about how Ducati is working with NetAPP on the racing side, these bikes are like flying IOT devices, as well as the consumer side. So Jean let's kick of things with you, this is day one, record breaking attendance for NetAPP, 5000 attendees, we were in the Keynote this morning, standing room only, talk to us about NetAPP as a Data authority, what's some of the feedback that you're hearing from your wealth of partners and customers that are here this week? >> Absolutely, well we're thrilled to have so many partners and customers and employees here with us, record breaking attendance, more customers and partners that have ever joined us before here at Insight a Data authority, people are asking us what do I need to do to maximize the value of that data, whether it's integrating the data, simplifying the data, they're trying to figure it out, and most of the time it's in a Hybrid role, it's in a multiclout world, and so we're just excited about where we are with our strategy, we're bringing it to life, more and more customers, like Ducati everyday are helping us to see this vision come true and we just can't wait to get started with everyone else. >> And this is a really interesting example, NetAPP has, in it's 26 year history, a massive install base, probably every industry, but when you look at something like Ducati, which probably every guy knows about, I have some Motorsport experience myself, it's much more of a, oh as a consumer, as a fan of the sport, so Konstantin, tell us about Ducati's decision to work with NetAPP, because you guys aim to not only utilize, all of the data, tons of data coming off the two bikes, every race weekend, to improve performance, but you're also wanting to use that speed, which is the new scale as George Curion said this morning, to even improve the consumer experience, and talk to us about Ducati's partnership with NetAPP. >> So we start to work with NetAPP about two years ago, more over, and in these, nowadays, every people around us talk about job thinking, extreme improvement, extreme increase of customer experience so in this world this will be Ducatis very excited challenge and this challenge requires us to respond with the best technology. The best technology that help us to collect the best information from our motorbikes, from our racing teams that we know how to collect the data, how to transformate this data into usable information, and how to generate the opportunity to have data sensors that we can transform in in information but also in knowledge that we hear before, and put all this information inside our fabric, and inside our shop floor, inside our R and D department, in order to be able to extremely increase the experience of our customers. >> I love that we get to work with one of the most innovative companies in the entire world of Motorsports, and I think really from the inception of Ducati, you guys have been really focused on how do you keep innovating through technology, and we talk about transforming the world of racing with data and how are we doing that together, so together with Ducati and NetAPP, how do we help enable them to have the best motors in the whole world, we're really excited! >> Jean, it's a great discussion, we've loved watching from just talking about the storage industry to where we're talking about data, and transformations so maybe explain to our audience that maybe not understand, you know, what's different about the industry today, and what's enabling this, NetAPP to be able to work with companies like Ducati, to help them through these transformations today, that they might not have been able to do a few years ago. >> Absolutely, I think there's just more and more data that we're finding every day, whether it's Ducati, Motorsports, if it happens to be in health care, and thinking about the millions and billions of genomes types of research that they're doing. We know even from banking how they're trying to connect the dots across an entire customer experience. Sure they're using technology like storage, absolutely, they're thinking about computers, they're thinking more and more though about services, and the cloud, APIs, how are they going to gain all this innovation through AI, analytics, but it's about making the customer experience better. What I love about the partnership we have with Ducati is it's not just about the bikes themselves, it's about the community that they have and that they're building and that community is yes, based on data from the bike, it's about the data coming from the riders, and it's about the data they collect so they all become a stronger community as a whole. >> Yeah, Konstantin maybe explain a little bit more to your audience the role of data as Ducati see's it, and how that drives innovation in your company. >> In the world like motorbike racing team, where every millisecond counts and the difference, in how we can collect in, very quickly mode the data, and to transform the information becomes determinate if you win or not because as you know, in Qatar we win with 29 milliseconds, and this is the work that we've done, days before, analyzing data, and set up the motorcycle, in the best way, because for us, the collaboration with NetAPP is not only storage, and is not only data, but is data management, and extremely short time to respond to our business requests and work to transform the paradigm of time, and money the paradigm of data and information, and we talk about performance with our line of business, not from the technical point of view but from the extremely business oriented, the customer oriented point of view, and we collect the data from the more than 60 sensors, from the racing motorbikes and transform it with artificial intelligence and deep machine learning, in vector sensors that give us information that we cannot reach from the normal road bikes, and this improves extremely our competitiveness, and we are able to give this, experience to our riders that becomes our families, because a good thing, a good product to all our customers, and with attention of environment in the behavior of the riders we would think that the good people in the good universe act in a good way. >> And we're happy to be part of that too. >> Before we get into that, the consumer side, so your riders, Andrea Dovizioso, and Jorge Lorenzo, how has their performance improved because you're able to take data, gigs per quali day, race day, analyze it in real time, how has their performance improved as a result of your NetAPP partnership? >> As you know, the racing motorbike is not able to stop in real time during the race, not like in Formula One so you need to use the best technology to connect the bikes to our minidata center inside the box during the race. Make our strategy to set up the bike as better as we can, and the speed which we can reach the, and collect the data, put it in the telemetry software, calibrate it, make the strategy decision is very very important. And with the HCI technology we can do it. >> How are you taking the transformation that you're making on the racing side and applying it to the consumer side so that, as I think I heard on the video, Ducati wants to deliver the bike that a guy or gal rides on a Sunday by Monday, that speed, speed is the new scale as George Curion mentioned this morning, how is the consumer side of Ducati Motorsport being influenced positively to enable those consumers to have exactly what they want? >> If you see our new creation, the Dopra, the Panigale V4, this is the right example how we transform racing motorbikes to the road bikes, and we give to our customers this kind of experience because all information we manage during the Sunday we are able to put in on Monday and sell the bike that have the same performance, safety, and pleasure of riding for the final customers and we have a racing that we bring to everydays motorbike, so when you buy a bike we give you experience that before you're riding, during the riding, and after your riding when you are at your home, with our uplink connection, we use the NetAPP technology to give the best experience of connected bikes. >> So when you think about customers, especially our partnership with Ducati, in order to be customer centric, or rider centric, we really have to be data driven, and so as we think about what are all the connections and the dots of data that happen, whether it's on the bike, the rider, the community itself, how does that bike that's driven or ridden on a Sunday, how is then really performed and given to customer that next day, it's all about the data. >> I'm curious, cause how have you been able to improve that speed of scale meta HCI as part of your data driven foundation, what's kind of a before and after, are you able to deliver bikes faster? Have you transformed the customer experience like Jean was saying? >> So before NetAPP, our production plan is more difficult to be connected to all other line of business and we are not able to collect the information from our final user, our customer. And give this information to our R and D department or the shop floor, in order to be able to transform in real time our production process, and to give the best experience for everyday bikers. >> So significant business impact? >> Exactly, and with our connected bike, this has become a reality. >> Jean, just want to bring it back to NetAPP for a minute here you've been on board for about two years, George Curion talked about the transformation that NetAPP is going through itself, can you speak a little bit to the culture, you know I think back for years and NetAPP has been known for one of the top places to work, it's talking about that transformation, what can you say about what's happening inside NetAPP? >> Sure, so I think the transformation has gone through a couple of different cycles. I mean one was really around the operational efficiency we needed to be as a company to really be focused on what were the customers caring about? What were the technologies and innovations that we needed to shift to that mattered to the customer? Cloud being one of those, whether it was a private cloud, or a public cloud, we also started to think through, is the right leadership that we needed to have in the company to start making those shifts? A big part of it is the culture though and that culture is ground up, it definitely starts across the leadership team we have today, but it is infused across all of NetAPP. It is one of the reason why I joined the company, when I first started interviewing with George, he wanted me to come help him write the new story, but so much a part of a story of a company is the people themselves, and so if you think about any kind of transformation, it is definitely strategy, it's technology, it's around what you do from processes, but culture and people are the biggest part of that, and we think of the brand inside of NetAPP, the people are the biggest part of it. And who we are and what we stand for, really always leaning in to the latest technology, because it's what customers care about, if I think about the history over the last 10 to 15 years, what could have broken NetAPP, moving from Linux to Windows, moving in to virtualization, now with the cloud, we've always leaned in, because we want to care about what the customer cares about. And that's every single person inside of NetAPP that makes that happen. So I love being at NetAPP and it's an exciting place to be! >> Cultural transformation is hard to do, it's essential for IT transformation, digital transformation, security transformation, I'm curious Jean, NetAPP has such a big install base of a lot of enterprise incumbents that weren't born in digital of course you've got some amazing customers like Ducati, talk to us about how your customers, you mentioned NetAPP is good at leaning in, how do you leverage that voice of the customer to help the sustain the cultural transformation you need to really put cloud at the heart of your strategy? >> Absolutely, even with the example of Dreamworks, we just started working with Dreamworks as one of our partners to start co-engineering with them, to help them on their own transformation. And so that's taking right from the customer, what are their requirements, how are they going to take this cutting edge digital content, and then be able to make it into beautiful, engaging films that we all know and love, How To Train Your Dragon's coming out very soon and we're excited about seeing it, but those kind of partnerships really matter, and how people are leaning in to the cloud, and how they're leaning in to hypercloud, multicloud, we want to hear what our customers need and work with them to be able to really build out that technology and innovation for the future. >> Konstantin, last question for you, what are you, I know you had a session yesterday, what are you excited to hear about from you partner NetAPP at the event this week? >> I'm excited to hear about the people, it's a very put attention of the details, of what the NetAPP mean regarding the data management. And the data driven company, what is the real time feedback to the customers, and improvement of the customer experience, and one of the things that I like is the simplicity to use the NetAPP technology that give us the speed of reaction, and transform the information into knowledge, and how can I say in experience to know how to do the things >> Well Konstantin, Jean, thank you so much for stopping by and giving us a really cool, sexy example of how NetAPP is helping a company like Ducati really revolutionize the racing side and the consumer side of the businesses. And we want to encourage you to go to NetAPP.com search Ducati and you will find a very cool video, on how these two companies are working together. For Stu Miniman, I'm Lisa Martin, you're watching the Cube live, all day from NetAPP Insight 2018, Stu and I will be right back with our next guest. (techno music)

Published Date : Oct 23 2018

SUMMARY :

the experience is directly moved to our road bikes. covering NetAPP Insight 2018, brought to you by NetAPP. and we have a couple of guests joining us. the feedback that you're hearing from your wealth and most of the time it's in a Hybrid role, and talk to us about Ducati's partnership with NetAPP. and how to generate the opportunity to have the storage industry to where we're talking about data, and the cloud, APIs, how are they going to gain and how that drives innovation in your company. in the behavior of the riders we would think and the speed which we can reach the, and collect the data, during the Sunday we are able to put in on Monday and so as we think about what are all the connections or the shop floor, in order to be able to Exactly, and with our connected bike, is the right leadership that we needed to have in and how people are leaning in to the cloud, the real time feedback to the customers, and the consumer side of the businesses.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Andrea DoviziosoPERSON

0.99+

George CurionPERSON

0.99+

Konstantin KostenarovPERSON

0.99+

Lisa MartinPERSON

0.99+

Piergiorgio GrossiPERSON

0.99+

GeorgePERSON

0.99+

DucatiORGANIZATION

0.99+

Stu MinimanPERSON

0.99+

JeanPERSON

0.99+

Jorge LorenzoPERSON

0.99+

San FranciscoLOCATION

0.99+

MondayDATE

0.99+

How To Train Your DragonTITLE

0.99+

StuPERSON

0.99+

KonstantinPERSON

0.99+

BangkokLOCATION

0.99+

Las VegasLOCATION

0.99+

Ducati MotorORGANIZATION

0.99+

26 yearQUANTITY

0.99+

19 racesQUANTITY

0.99+

15 countriesQUANTITY

0.99+

two bikesQUANTITY

0.99+

SundayDATE

0.99+

oneQUANTITY

0.99+

Jean EnglishPERSON

0.99+

five continentsQUANTITY

0.99+

millionsQUANTITY

0.99+

QatarLOCATION

0.99+

yesterdayDATE

0.99+

DucatisORGANIZATION

0.99+

NetAPPTITLE

0.99+

LinuxTITLE

0.99+

WindowsTITLE

0.99+

two companiesQUANTITY

0.99+

NetAppORGANIZATION

0.99+

29 millisecondsQUANTITY

0.99+

FirstQUANTITY

0.98+

DreamworksORGANIZATION

0.98+

Moto GP ChampionshipEVENT

0.98+

this weekDATE

0.98+

more than 60 sensorsQUANTITY

0.98+

Ducati MotorsportORGANIZATION

0.98+

firstQUANTITY

0.97+

Mandalay BayLOCATION

0.97+

about two yearsQUANTITY

0.97+

next dayDATE

0.97+

tons of dataQUANTITY

0.96+

5000 attendeesQUANTITY

0.95+

every race weekendQUANTITY

0.95+

todayDATE

0.95+

Nancy Hart & Dale Degen, NetApp | NetApp Insight 2018


 

>> Announcer: Live from Las Vegas, it's theCUBE covering NetApp Insight 2018, brought to you by NetApp. >> Welcome back to theCUBE. I'm Lisa Martin with Stu Miniman, live in Las Vegas at Mandalay Bay at NetApp Insight 2018, the third annual with customers, partners, endless press, NetAppians. We're excited to welcome two alumni back to theCUBE. We have Nancy Hart, Head of Marketing for Cloud Infrastructure at NetApp, and Dale Degen, Cloud Infrastructure Business Director. Guys, welcome back to theCUBE. >> Thank you so much. It's so great to see you guys again. >> Likewise. So we got back from a standing room only keynote, thousands of people here, and one of the interesting things, Nancy, that Stu and I both observed were today no product announcements. It was really about concepts. The first time we heard anything architecture related was really the Data Fabric, but George Kurian, the CEO of NetApp, talked about the four principles of digital transformation. >> Nancy: Right >> I wonder if we can unpack those with you guys. >> Nancy: Yes >> The first one talking about digital transformation requires IT transformation. >> Nancy: Yes >> Talk to us about that speed as the new scale. What does that mean for NetAPP as a company that needs transformed... >> Nancy: Right >> and to your customers? >> So it means for our customers the idea is that speed is the new scale, right. That to create new businesses, to create new opportunities, to create new revenues, there has to be a lot more agile and agilent on their ITs. Right. So, NetApp will really focus on doing is how to break down the barriers between Dev and Ops. The days of silos, months of provisioning all of that is now gone. Because companies need to now help their teams build faster, build better, and that's really what George was talking about, in this idea that the speed is the new scale. And if our customers are not driving IT agile... Agile IT operations on their own data centers, their competitors certainly are. >> How does... NetApp talks a lot about being driven, the data authority and hybrid cloud. George also said hybrid clouds do in multi-cloud or the defacto architecture. >> Yes >> When you talk with customers, how do they digest "NetApp's going to help "me be data driven?" >> Nancy: Right >> What's that conversation like? >> So, looks like a lot these days, we have our customers, they have their own users, their own internal DevOps team who have gotten very used to taking their Corporate AMEX and running up the Amazon, setting up a new compute shape or storage. The thing is we see customers are trying to rebalance where they put their data cap with data, where they put their applications. Do somethings being, belong in public cloud? Absolutely, but there is also this natural rebalance, that not every application should be in the cloud. For reasons of data governance, perhaps cost, whatever it is, when they build that next new application, it may be in the data center. So, to make that work is the idea of a hybrid multi-cloud experience, and the key part of that is the experience. It's not a management experience. It's a consumption experience. It's a very seamless, simple consumption experience if you've got up in the public cloud, but in a private cloud in your data center. >> Stu: Nancy, I like that. We've always, we've been saying on theCUBE for a couple of years now, cloud is not a destination, it's an operating model. >> Yes It's the way we need to think things, but Dale, when I talk to customers, we talk about their cloud strategy, we talk about what they want, every single one of them, totally different. How much they're doing SaaS , versus how many mulvic public lines they're doing, and of course, they're still figuring out what they've got in their traditional data centers. And its that certain companies have been selling them multiple products, they've got their data all spread out, so, are we getting away from silos, how architecturally do we build this? There's so much differentiation out in the marketplace today. It'd be lovely to have a magic wand and say "Oh, everything's, "you know, simple." But that really hasn't been the case in an enterprise IT. >> Dale: I think you nailed it the way you described it right there You have an enterprises that have built up a collection of applications, some of them have been given a cloud mandate. And so, that means something different to everyone. Sometimes they're going out all SaaS, sometimes they're saying, "I want to put everything, "all my storage in the cloud." We're seeing an interesting moment in time where, there's almost a reaction to that, and finding out maybe there's silos within different public cloud service providers, maybe the monthly cost is a little bit larger than what people might have expected on that. At NetApp, we've been working with our customers, I kind of love being here because the last couple years has just been this huge transformation of the company around that, taking a lot of our customers have viewed us as number one in storage the trusted provider on that. I really, expanding out to a more data driven solution on there. And things we've done internally to address side is really focused on different business imperatives there. Because I think each of our customers has their data center that they need their rock solid applications on. They're thinking about this journey to the cloud. They're trying to innovate with acceleration in the cloud with different services with the cloud public... the biggest public clouds and along the way they're also saying "I need some of that agility internally." And so we've, we've really built that, to build out your kind of a hybrid multi cloud experience. And the company strategy is coming together. We're seeing investments, we're seeing growth and announcements and all of those. >> So one of the interesting things that I observed in the keynote this morning was NetApp being 26 year old, 26 years young company, right? Massive install base. You've got a lot of customers who were not born in the digital age and George Kurian your CEO seems to kind of address them almost right out of the gate. >> Nancy: Yes. >> So let's talk about the data fabric a little bit more. Let's unpack that because some of the messaging seems to be reflecting that, that, and I think Anthony liked talked about this a little bit this morning in the keynote as well. It, it's, it's transforming from a vision to an architecture for your customers, your incumbent enterprise customers who were not born in the cloud, what does being data driven mean to them? How are they embracing this architecture idea of the data fabric and using it to use their data to identify new customer touchpoints, deliver new services, increased revenue? >> Dale: So we're seeing a lot of our customers really transform their business to take advantage of these new services in the cloud. The value that a lot of them are bringing to us is they have a massive amount of institutional data that maybe was in different silos. May be they had different as a service offerings touching it. We're able to bring it together with the data fabric. So now they can consolidate this into a large amount of tangible data. You can have multiple as a service solutions and services coming from public cloud service providers to do analytics on data. For example, we have energy companies that have seismic data from 50 years ago that is sitting on tapes. It's better than anything they could even get today. They bring it all together and now they're doing data analytics on this and they're finding new ways to really take advantage of that. So we're seeing that across the board and we're, Our goal is to try to move them along that journey. >> Nancy: Yes >> Stu: Nancy, could you give us a little insight as to who you're selling to? >> Yes Where is NetApp getting involved in kind of those strategic discussions? As I said, >> Great >> you know everybody's got a cloud strategy, but I said usually the external still drawing and it's something you need to revisit often so you know where is NetApp seat at that table? You've got a lot of partners here >> Nancy: Yes >> and how are things changing? >> Nancy: So, a lot of things are changing a lot of ways for Netapp and the companies that we're selling to and who we're selling to at those companies. We certainly see a lot of new buyers and it's interesting to see now that the decision making, the who's sitting at the decision table when they make that decision of what kind of infrastructure to purchase, is it getting larger and larger group and now we're really seeing the Dev teams, their internal Dev ops teams have a seat at that table who are and they're having significant influence on the infrastructure and operations teams on what kind of investments that companies should be making. Right, so, working with partners, going to market through the largest public hyper scalers and reaching these new buyers and new and existing accounts as well. So even if there is a traditional part of the data center, I guarantee you somewhere in every company there's a new Dev team working on new business models. And so we want to attend (mumbles) >> Lisa: Does the conversation Nancy, start at the business outcomes level? >> Nancy: Absolutely. >> And, and your perspective, how are you seeing some of the more technical folks in an organization participating in a business outcomes driven conversation where it's more about these are the things we need to do to, to compete to increase our revenue. What, how is that persona based conversation changing? So actually I have a story from a customer meeting earlier this week, right? And so we were talking with the customer about data fabric and what we can do and how we can deliver a seamless experience between public and private clouds. And we walked out of their room and the gentleman from the customer who's I walked in that room as a storage admin and I walked out as a data fabric architect. Right. >> Lisa: It's pretty good validation >> It's pretty good validation. It's happening right now like the personas, even personas that we've traditionally known are certainly changing. What do yo say? >> So that point we're seeing some of the attributes that service providers are offering. We're seeing enterprises at the same time trying to build those up scale. And it's really been amazing as we're seeing you, you spoke about speed is the new agility on here and it's really the agility to be kind of build those infrastructures quickly and take advantage of that at a business advantage level. And a lot of the most technical customers of ours are saying now they're kind of at a, they have a seat at the table to kind of inspire some of those business innovations. They, they see how they could make the company more efficient and all of a sudden they're getting a lot more attention at the C level. >> Stu: Alright. So a few years ago there was the wave of big data, you know, it was really what I summed it up. One of the key findings was it was that bit flip of saying, oh my gosh, I have so much data to, Oh yes, yes, I've got so much data and I can take advantage of it. What I want you to help connect us is when you talk about being data driven, NetApp at its core is you know, there's storage, there's infrastructure, there's software. How do I then get the insights and the value out of the data, the data that I've helped my customers get to? >> Nancy: So let me give you an example of what NetApp is doing around this very issue, right? So we have a very large install base like you talked about. We have a new product called the active IQ. And what it does is based on community wisdom pulled from 30,000 or more installed systems across our entire customer base. And what we do is we use AI ML to extract value and intelligent insights and then actionable plans for our customers. So even if a customer doesn't have 30,000 units installed, they can take advantage of all of that knowledge themselves. So we drink our own champagne and we apply the things that we learned, but we can also help customers do the same thing in their own business as an extract value from their own data. >> Lisa: I'm curious too, from a company as as history does NetApp, formerly network appliance, how is NetApp drinking our own champagne example? How does that influence customers perspective on NetApp's transformation and convince a customer to trust NetApp and go, "yes, this is a partner "that I want to work with "to help us be able "to just do point, "not just a mass, "a tonne of data "and the silo, "but extract insights that are "essential to try this, this change." >> Dale: So we actually have some breakout sessions here where NetApp IT is speaking to that a talking about how we have NetApp on NetApp. You know we've got the active IQ data coming in, so an all flash fas tier being teared down through east series to object storage to a giant data lake of active IQ doing analytics on that. And so that's a great reference for us. We're able to have them speak to our customers directly, eye to eye in our executive briefing center, and oftentimes that pushes them over the edge on that one. >> Nancy: Because we're living the dream and we're making our own mistakes along the way and so when we have folks from our NetApp's own IT department come speak with customers, it's very credible about we did this at work, we did this. It didn't work so much. Right? But we're in that same transformation journey as our customers as well. >> Well, the failure I always say is my, It's not a bad word. It's part of that journey. >> Nancy: Yes. Well, finishing up Nancy with you. Talk to us about the media customer example that really articulates the value that NetApp is delivering as an enabler of the data driven company. >> So one of my favorites these days as we work with a company called Children's Mercy Hospital, Kansas City, right? And they brought us new Ciox and he was really interested in transforming the IT experience for his clinicians. Right. These are the people that work with kids in the hospital, sick kids, they're stressed out families. And I love this story because it's very easy for me to imagine if my child was in the hospital, how stressed out I would be to have a clinician walk in fast, easy access, the latest data about my child, a happy clinician. That would be such an impact to me. And so to see what our customers are doing at children's mercy and they'll also multi cloud they've got their own private clouds are accelerating their VDI, they're working with public clouds all through NetApp product in the end to help those kids and to help maybe some moms on wherever you are, just a smidge less. >> Lisa: Are you helping them to use some of the emerging technologies, IoT AI to drive faster, better outcomes and decision making for these in these critical literally life and death situations? >> So the first project we're working on them as about accelerating their VDI. How does he get a virtual desktop to all his clinician? So whatever room that clinician is in, he has access. So she has access to the latest data about that child. Right. And to make the overall just a better experience so that the new ciox is very keen on just delivering a better experience, not better technology, but a better experience for his clinicians and for his patients. >> Nancy, Dale, thanks so much for stopping by on day one of insight. We appreciate your time. Got to give you some cubes stickers because you're doubling the alumni now. Real. Exactly. We want to thank you. I'm Lisa Martin with Stu Miniman for watching the cube. Again, we're live all day at NetApp Insight 2018. Stick around. Stu and I will be right back with our next guest.

Published Date : Oct 23 2018

SUMMARY :

brought to you by NetApp. the third annual with customers, It's so great to and one of the interesting things, The first one talking about digital Talk to us about that speed as the new scale. that speed is the new scale, right. the data authority and the key part of that is the experience. for a couple of years now, It's the way we need and along the way So one of the interesting architecture idea of the data fabric of them are bringing to us and the companies and the gentleman from like the personas, And a lot of the most and the value out of the data, and we apply the things and convince a customer to and oftentimes that pushes along the way Well, the failure I always say is my, It's not a bad word. the value that NetApp is in the end to help so that the new ciox is Got to give you

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
NancyPERSON

0.99+

George KurianPERSON

0.99+

LisaPERSON

0.99+

AnthonyPERSON

0.99+

Lisa MartinPERSON

0.99+

Nancy HartPERSON

0.99+

DalePERSON

0.99+

GeorgePERSON

0.99+

StuPERSON

0.99+

Stu MinimanPERSON

0.99+

Dale DegenPERSON

0.99+

AmazonORGANIZATION

0.99+

NetAppORGANIZATION

0.99+

Las VegasLOCATION

0.99+

Children's Mercy HospitalORGANIZATION

0.99+

30,000QUANTITY

0.99+

Mandalay BayLOCATION

0.99+

30,000 unitsQUANTITY

0.99+

26 yearsQUANTITY

0.99+

26 yearQUANTITY

0.99+

NetAPPORGANIZATION

0.99+

NetAppiansORGANIZATION

0.99+

50 years agoDATE

0.98+

eachQUANTITY

0.98+

first oneQUANTITY

0.98+

OneQUANTITY

0.97+

bothQUANTITY

0.97+

theCUBEORGANIZATION

0.97+

todayDATE

0.97+

first projectQUANTITY

0.96+

NetApp Insight 2018EVENT

0.96+

Kansas CityLOCATION

0.96+

two alumniQUANTITY

0.96+

third annualQUANTITY

0.96+

oneQUANTITY

0.96+

earlier this weekDATE

0.96+

thousands of peopleQUANTITY

0.95+

first timeQUANTITY

0.95+

few years agoDATE

0.93+

NetAppTITLE

0.92+

CioxORGANIZATION

0.89+

AMEXORGANIZATION

0.88+

this morningDATE

0.88+

four principlesQUANTITY

0.87+

day oneQUANTITY

0.86+

Old Version: James Kobielus & David Floyer, Wikibon | VMworld 2018


 

from Las Vegas it's the queue covering VMworld 2018 brought to you by VMware and its ecosystem partners and we're back here at the Mandalay Bay in somewhat beautiful Las Vegas where we're doing third day of VMworld on the cube and on Peterborough and I'm joined by my two lead analysts here at Ricky bond with me Jim Camilo's who's looking at a lot of the software stuff David floor who's helping to drive a lot of our hardware's research guys you've spent an enormous amount of time talking to an enormous number of customers a lot of partners and we all participated in the Analyst Day on Monday let me give you my first impressions and I want to ask you guys some questions here you thought so I have it this is you know my third I guess VMworld in or in a row and and my impression is that this has been the most coherent of the VM worlds I've seen you can tell when a company's going through a transition because they're reaching to try to bring a story together and that sets the tone but this one hot calendar did a phenomenal job of setting up the story it makes sense it's coherent possibly because it aligns so well with what we think is going to happen in the industry so I want to ask you guys based on three days of one around and talking to customers David foyer what's been the high point what have you found is the most interesting thing well I think the most interesting thing is the excitement that there is over VMware if you if you contrast that with a two three years ago the degree of commitment of customers to viennois the degree of integration they're wanting to make the degree rate of change and ideas that have come out of VMware it's like two different companies totally different companies some of the highlights for me were the RDS the bringing from AWS to on site as well as on the AWS cloud RDS capabilities I think that's a very very interesting thing that's the relational database is services the Maria DB and all the other services that's a very exciting thing to me and a hint to me that AWS is going to have to get serious about well Moore's gone out I think it's a really interesting point that after a lot of conversations with a lot of folks saying all AWS it's all going to go up to the cloud and wondering whether that also is a one-way street for VMware Casta Moore's right but now we're seeing it's much more of a bilateral relationship it's a moving it to the right place and that's the second thing the embracing of multi-cloud by everybody one cloud is not going to do everything they're going to be SAS clouds they're going to be multiple places where people are gonna put certain workloads because that's the best strategic fit for it and the acceptance in the marketplace that that is where it's going to go I think that again is a major change so hybrid cloud and multi cloud environments and then the third thing is I think the richness of the ecosystem is amazing the the going on the floor and the number of people that have come to talk to us with new ideas really fascinating ideas is something I haven't seen at all for the last last three four years and so I'm gonna come back to you on that but it goes back to the first point that you make that yeah there is a palpable excitement here about VMware that two-three years ago the conversation was how much longer is the franchise gonna be around Jim but now it's clear yeah it's gonna be around Jim how about you yeah actually I'm like you guys I'm a newbie to VM world this is my very first remember I'm a big data analyst I'm a data science an AI guy but obviously I've been aware of VMware and I've had many contacts with them over the years my take away my prime and I like Pat Gail singers I agree with you Peter they're really coherent take and I like that phrase even though it sounds clucking impact kind of apologize they are the dial tone to the multi-cloud if the surgery really gives you a strong sense or who else can you character is in this whole market space cloud computing has essentially a multi cloud provider who provide the unifying virtualization glue to help their custom to help customers who are investing in an AWS and maybe in a bit of you know you're adopting Google and Microsoft Azure and so forth providing a virtualization layer that's the above server virtualization network virtualization VDI all the way to the edge nobody can put it all is putting it all together and quite the way that VMware is one of the my chief takeaways is similar to David's which is that in terms of the notion of a hybrid cloud VMware with its whole what's it's doing with RDS but also projects like this project dimension which is in project in progress taking essentially the entire VMware virtualization stack and putting it onto an appliance for deployment on the edges and then for them to manage it VMware of this their plans as an end-to-end managed edge cloud service and so forth Wow the blurring of public and private cloud I don't even think the term hybrid cloud applies it's just a blurry the common cloud yeah it's moving to the workload the clouds moving to the data which is exactly what we say they are halfway there in terms of that vision halfway in a sense that RDS has been announced the you know on the VMware and this project dimension they're well along with that if there was a briefings for the analyst space I'm really impressed for how they're architecting this I think they've got a shot to really dominate well I'll tell you so I would agree with you just to maybe provide a slightly different version of one of the things you said I definitely agree I think what's VMware hopes to do and I think they're not alone is to have AWS look like an appliance to their console to have as you look like an appliance of their Khan so through free em where you can get access to whatever services you need including your VMware machines your VMs inside those clouds but that increasingly their their goal is to be that control point that management point for all of these different resources that are building and it is very compelling I think that there's one area that I still think we need more from as analysts and we always got to look through no and what's yeah what was more required and I hear what you say about project dimension but I think that the edge story still requires a fair amount of work oh yeah it's a project in place but that's going to be an increasingly important locus of how architectures get laid out how people think about applications in the future how design happens how methodologies for building software work David what do you think what when you look out what what is what what is more is needed for you so really I think there are two things that give me a small concern the the edge that's a long term view so they got time to get that right but the edge view is very much an IT view top-down and they are looking to put in place everything that they think the OT people should fit in with I think that is personally not going to be a winning strategy you you have to take it from the bottom up the world is going to go towards devices very rich devices and sensors lots of software right on that device the inference work on those devices and the job of IT will be to integrate those devices it won't be those devices taking on the standards of IT it'll be IT that has to shape itself to look after all those devices there so that's a that's the main viewpoint I think that needs adjustment and it will come I'm sure over time but as you said there's a lot of computer science it's going to be an enormous amount of new partnerships are gonna be fabricate exactly to make this happen Jim what do you think yeah I agree terms of partnerships one big gap from both VMware and Dell technologies partnerships and romance and technology proposes AI now they have a project VMware call from another project called project Magna which is really AI ops in fact I published a wiki about reports this week on AI ops AI to drive IT Service Management and to and they're doing some stuff they're working on that project it's just you know the beginning stages I think what's going to happen is that vmware dell technologies they're gonna have to make strategic acquisitions of AI solution providers to build up that capability because that's going to be fundamental to their ability to manage this complex multi called fabric from end to end continuously they need that competency internally that can't be simply a partner providing that that's got to be their core competencies so you know I'm gonna push it I'll give you the contrarian point of view okay we actually had Khamsin VMware we've had a lot of conversations about this does that is that a reflection of David's point about top-down buying things and pushing it down as opposed to other conversations we've had about how the edge is going to evolve where a lot of OT guys are going to combine with business expertise and technology expertise to create specialized solutions and is and then VMware is gonna have to reach out to them and make VMware relevant to them do you think it's going to be VMware buying a bunch of stuff or an a-grade no solution or is it going to be the solutions coming from elsewhere and VM at VMware I just becoming more relevant to them now you can still be buying a bunch of stuff to get that horizontal in place but which way you think it's going to go I think it's gonna be the top-down they're gonna buy stuff because if I talk to the channel one of the channel people this morning about well you know but they've got an IOT connected bundle and so forth they announced this show you know I think they agree with me that the core AI technology needs to be built into the fundamentals like the IOT stack bundle that they then provide to the channel partners for with you know with channel specific content that they can then tweak and customize to their specific needs but you know the core requirements for a I are horizontal you know it's the ability to run neural networks to do predictive analysis anomaly detection and so forth this is all cross-cutting across all domains it has to be in the core application stack they can't be simply something they source for particular channel opportunities it has to be leveraged across you know the same core tensorflow models for anomaly detection for manufacturing for logistics for you know customer relationship management whatever it's or are you saying essentially that then VMware becomes that horizontal play even though even if the solution providers are increasingly close to the actual action where the edges III I'm gonna disagree we can gently on that but we'd still be friends [Music] no it's you know I'm I'm an OT guy of hearth I suppose and I think that that is going to be a stronger force in terms of VMware but there will be some places where you it will be top-down but other places that where it's going to be need needed to adjust but I think there's one other there very interesting area I'd like to bring up in terms of of this question of acquisition what what we heard about beforehand was excellent results and VMware has been adding a you know a billion dollars a year in terms of free cash there and they have thirteen billion in short term cash there and the the refinancing from Dell is gonna take eleven of that thirteen and put it towards the towards the the company now you can work towards deltek yes well just Dell Dell as a hold and and silver later towards those partners I I personally believe that there is such a lot of opportunity that's going to be out there if you take NSX for example it has the potential to do things in new areas they're gonna need to provide solutions in those new areas and aggressively go after those new areas and that's going to mean big investments and many other areas where I think they are going to need acquisitions to strengthen the whole story they have the whole multi-cloud story about this real-time operating system in a sexy has a network routing virtualization backplane I mean it needs to go real-time so sensitive guaranteed ladies if they need that big investments guarantee yeah they need to go there yeah so what we're agreeing on that and I get concerned that it's not going to be given the right resources you know to be able to actually go after the opportunities that they have genuinely created it's gonna mean from you see how that plays out so I think all drugs in the future I think saying though is that there is going to be a solution a set of solution players that VMware is going to have to make significant moves to make them relevant and then the question is where it's the values story what's the value proposition it's probably gonna be like all partnerships yeah some are gonna claim that they are doing it also some are gonna DM where it's gonna claim that they do more of it but at the end of the day VMware has to make themself relevant to the edge however that happens I want to pick up on NSX because I'm a pretty big believer that NSX may be the very special crown jewel and a lot of the stuff this notion of hybrid cloud whatever we call it let's just call it extended cloud let me talk of a better word like it is predicated on the idea that I also have a network that can naturally and easily not just bridge but truly multi network interoperate internet work with a lot of different cloud sources but also all different cloud locations and there's not a lot of technologies out there that are great candidates to do that and it's and I look at NSX and I'm wondering is that gonna be kind of a I want to take the metaphor too far but is that gonna be kind of a new tcp/ip for the cloud in the sense that you're still gonna run over tcp/ip and you're still gonna run over the Internet but now we're gonna get greater visibility into jobs into workloads into management infrastructures into data locations and data placement predictive movement and NSX is going to be the at the vanguard of showing how that's gonna work and the security side of that especially to be able to know what is connected to what and what shouldn't be connected to what and to be able to have that yeah they need stateful structured streaming others Kafka flink whatever they need that to be baked into the whole nsx virtualization layer that much more programmable and that provides that much better a target for applications all right last question then we got a wrap guys David as you walk out the door get in the plane what are you taking away what's your last impression my last impression is one of genuine excitement wanting to work wanting to follow up with so many of the smaller organizations the partners that have been here and who are genuinely providing in this ecosystem a very rich tapestry of of capability that's great Jim my takeaway is I want to see their roadmap for kubernetes and serverless there wasn't a hole last year they made an announcement of a serverless project I forgot what the code name is didn't hear a whole lot about it this year but they're going up the app stack they got a coop you know distribution you know they're if they need a developer story I mean developers are building functional apps and so forth you know you can and they're also containerized they need they need a developer story and they need a server list story and they need to you need to bring us up to speed on where they're going in that regard because AWS their predominant partner I mean they got lambda functions and all that stuff you know that's that's the development platform of the present and future and I'm not hearing an intersection of that story with VMware's a story yeah my last thing that I'll say is that I think that for the next five years VMware is gonna be one of the companies that shapes the future of the cloud and I don't think we would have said that a couple of names no they wouldn't I agree with you so you said yes all right so this has been the wiki bond research leadership team talking about what we've heard at VMware this year VMworld this year a lot of great conversation feel free to reach out to us and if you want to spend more time with rookie bond love to have you once again Peter burrows for David floor and Jim Kabila's thank you very much for watching the cube we'll talk to you again [Music]

Published Date : Aug 29 2018

**Summary and Sentiment Analysis are not been shown because of improper transcript**

ENTITIES

EntityCategoryConfidence
DavidPERSON

0.99+

James KobielusPERSON

0.99+

Jim KabilaPERSON

0.99+

thirteen billionQUANTITY

0.99+

David FloyerPERSON

0.99+

AWSORGANIZATION

0.99+

Jim CamiloPERSON

0.99+

VMwareORGANIZATION

0.99+

DellORGANIZATION

0.99+

Las VegasLOCATION

0.99+

JimPERSON

0.99+

first impressionsQUANTITY

0.99+

three daysQUANTITY

0.99+

two thingsQUANTITY

0.99+

thirteenQUANTITY

0.99+

PeterPERSON

0.99+

last yearDATE

0.99+

Pat GailPERSON

0.99+

MoorePERSON

0.99+

Mandalay BayLOCATION

0.99+

first pointQUANTITY

0.99+

second thingQUANTITY

0.98+

firstQUANTITY

0.98+

GoogleORGANIZATION

0.97+

third thingQUANTITY

0.97+

this yearDATE

0.97+

thirdQUANTITY

0.97+

this yearDATE

0.97+

NSXORGANIZATION

0.97+

two-three years agoDATE

0.97+

David floorPERSON

0.96+

VMworldORGANIZATION

0.96+

two different companiesQUANTITY

0.95+

bothQUANTITY

0.95+

VMworld 2018EVENT

0.95+

Maria DBTITLE

0.95+

wikiORGANIZATION

0.95+

MicrosoftORGANIZATION

0.95+

this weekDATE

0.94+

two lead analystsQUANTITY

0.94+

David foyerPERSON

0.93+

deltekORGANIZATION

0.93+

MondayDATE

0.93+

third dayQUANTITY

0.93+

two three years agoDATE

0.92+

one areaQUANTITY

0.92+

this morningDATE

0.91+

oneQUANTITY

0.91+

KafkaTITLE

0.9+

Analyst DayEVENT

0.89+

VMworldEVENT

0.89+

KhamsinORGANIZATION

0.88+

VMwareTITLE

0.84+

Ricky bondORGANIZATION

0.84+

WikibonORGANIZATION

0.83+

one cloudQUANTITY

0.82+

lot of partnersQUANTITY

0.82+

elevenQUANTITY

0.81+

a billion dollars a yearQUANTITY

0.81+

Ruya Atac-Barrett, Dell EMC & Brian Linden, Melanson Heath | VMworld 2018


 

from Las Vegas it's the queue covering VMworld 2018 brought to you by VMware and its ecosystem partners welcome back to the Mandalay Bay in Las Vegas everybody you're watching the cube the leader and live tech coverage my name is Dave Volante I'm here with my co-host Peter Burroughs Peter great to be working with you we haven't done much this week but I'm really excited to put a great week despite that it's been a great week this day three of our wall-to-wall coverage last year at vmworld one of the biggest hottest trends was data protection same thing this year a lot of buzz a lot of hype a lot of parties Rio Barrett is here so the vice president of product marketing for the data protection division of Dell EMC welcome great to see you again great to be here brian linden is here he is the IT Directorate Melanson Heath out of Austin as well Brian thanks very much for coming on thanks for having me so Rio I mean we talked and I have talked about this yeah what's going on in data protection I mean VMworld it's not it's become the hottest topic absolutely seeing you guys some of the VC funded startups or trying to duke it out throwing big parties all right you guys got all the customers everybody wants them you're fighting like crazy cloud has now come in what's your take what's going on that's really exciting I mean data protection I started out my career in data protection you know but move forward and back in data protection is hotter than ever it's it's great and I think it has to do with the trends that are happening out in the market the big mega trends that are happening we talked about distribution you know data moving out of the data center where the four walls are no longer defining how you secure something so security recoverability are becoming really critical as you talk about edge and data moving to the edge on to cloud computing and multi cloud computing I think it's going to be one of those frontiers that the enterprise still wants to have a reign over how do I recover my data no matter where it's sitting and how do I get it back and how do I secure it so it's very exciting so Brian talked about Melanson heath set it up the company you know tax accounting Boston based in New England etc your and really want to understand the drivers in IT but start with the company please yes lesson Heath is a top-10 accounting regional accounting firm in New England we have offices in Massachusetts New Hampshire and Maine we service other clients in Vermont etc a large portion of our focus is on auditing we do a lot of misrata it's school districts town cities we also do traditional tax accounting there's been advisory the full gamut of accounting professional services you run IT yes okay what are the big drivers in your business and how are they forcing you to sort of rethink the way in which you generally approach IT but specifically approach data protection over the years we've you know we've gone from the traditional everything on premise to moving things to the cloud whether it's a SAS provider or or whatever so we really need to be able to secure our data no matter where it is whether it's in the cloud game it'll have a backup locally between our various offices etc and uptime is paramount we have deadlines that don't don't shift the IRS does not care if we have a storm or we have something wrong with our building we have our professionals have hard deadlines so I one of my tasks is to make sure that no matter what happens we have a timely backup plan and I need to be able to focus on the business and not be focusing on worrying about the backup and data protection so obviously the other part that equation is the recovery plan so really you know we this is our ninth year of the cube and at the time you know when we first started it was a lot of talk about re-architecting backup to handle the the the V blender if you will and the lack of resources now all the conversation Brian just mentioned is cloud so how are you guys - that from a product standpoint oh my god yeah this has been a big topic of conversation I think one of the areas where we really differentiated you know one of the areas that Brian is in the middle of his mid-market and we see a big propensity for an appetite for cloud from an agility standpoint from time to respond standpoint and one of the biggest trends and we heard about it at yesterday's keynote as well is cloud as a disaster recovery site especially for customers that might not have a secondary site so we recently introduced a product called the DP 4400 Brian's actually the first customer to purchase the product so in July we announced it one of the key differentiation of that product is the ease of which customers can now access cloud you know whether it's for a long term retention or cloud disaster recovery without needing any additional hardware literally it's at the fingertips you manage it exactly the way you would you can manage it directly from your VMware operational tools and have access to cloud as a secondary site whether it's for dr or long term retention so that's one of the ways for mid market customers we're really bringing that cloud and bringing it at their fingertips from a recoverability standpoint and then we've done some exciting announcements Beth was here with yang-ming talking about some of the innovations that we've been delivering in cloud whether you're a service provider whether you're a big enterprise across our portfolio so I think we have that's by far one of our key differentiations and better together stories with VMware so I'm really fascinated Brian about some of the things are doing let me let me throw a thesis at you and Andrea you've probably heard this we tend to think that there's a difference between business and digital business and that difference is the degree to which a digital business uses data as an asset in many respects if you start thinking in those terms then data protection for the new world is not just the technical data is protecting your digital business now if you think about an accounting we normally associate accounting with manual processes manual activities but there's a lot more data being generated by your clients by your by the people that are providing the services how is this relationship between data the value of your business and the value of your service is driving you to adopt these new classes of solutions for millions and Heath we are almost completely paperless so all of our data all of our work product goes through technology so we need to you know it's it's imperative that we be protected if servers go down if the site goes down our professionals don't do work and time is money so you know it first is the old thinking of having paper storage or just having local backups if there's a significant enough then we can leverage the cloud and be able to disperse our staff to places where they can sit down with a computer and do work additionally like you said we're collecting a lot more data you know our various software processes are using more machine learning to get more out of that data so having that protected as it expands is critical so increasingly the services that you're providing to your clients are themselves becoming more digital as well that's correct yes so as you think about where this ends up would you characterize yourself as especially interested in the DP 4400 and the set of services that around that as facilitating that process are you going to be able to tell a better story to your business about how they can adopt new practices offer new services etc that are more digital in nature because of this I think so I think having the DP 4400 with its cloud connections will help our our partners our principals become more comfortable with the cloud and and not not fear it they've tended to be you know a little more insular and want to see and feel and you know know that the data is there so you know being able to recover to the cloud or just use the cloud natively is going to be a game-changer for for our firm and our business just add one thing that we've talked about with Brian one of the capabilities with the DP 4400 is the instant access and restore capabilities and we're seeing more of a trend especially in secondary storage platforms much like the ones we're using with DP 4400 we're basically all your data is there right so you're doing your data for recovery your data for disaster recovery for replication is in a place and we're seeing a trend towards wanting to have flash nvme cache to be able to actually do instant access and restore not only for recoverability purposes for app tests and dev type applications and data sharing so that trend has already left the station and even in our mid tier products like DP 4400 well you know targeted specifically for commercial buyers and midsize organizations we're bringing that enterprise class capabilities and making it available to them to be able to leverage not only cloud but also on-premise and your cloud is you all cloud you some cloud you hire hybrid we do have a lot of on-premise we are migrating things over the years to the cloud and that's certainly going to be the trend and is that in effect or in part what's driving you to rethink how you approach data protection or how did that affect your data protection decisions I think having the capacity to touch all types of systems and services is is critical we need to be thinking not what we're doing now but we're gonna do any year five years from now and you know just looking back to the past five years it's a completely different IT environment so ok so I want to translate a little marketing into what it means for the customers but we agree oh when you guys announced with DP 4400 it was simply powerful was kind of attack okay so what is what are you looking for from the standpoint of simplicity and a same question on on on on power simplicity that you know the DP 4400 is a 2-u unit goes right in the rack it's not use of various interconnected components that you have to you know figure out how to connect it's one interface it's extremely simple and quick to deploy you know I have a very lean IT shop we don't have a lot of time a lot of people to be devoting hours and days and weeks to getting a deed protection environment set up our previous solutions we're much more complicated different interfaces always changing interfaces and they didn't really work well I need you know I need to be able to just set it and forget it it's it's an insurance policy is what it is you know when something goes wrong I need to know what's going to happen - from the moment that the disaster is to recognize - when our staff will be able to get back up and working okay and I the DP for 4,400 just makes that extremely simple okay so it's simple not just simpler know that right it's simple example and what about the powerful piece what is it what does that mean the power of having everything in one unit it's one interface you know giving me and my staff the power to do what we need to do without having to have a degree in data protection it's very simple to learn very simple to use it just works and a couple of the things Brian and I talked about earlier was really no one wants to impact production to do data protection write it like you said it's an insurance policy so the performance of the platform is really significant I think performance performance without compromising efficiency because at the end of the day cost is a big consideration especially for midsize organizations when they're buying a solution so I think it's really hey it's simple to use simple to deploy but it's powerful because you can get your stuff done in the you know a lot of times for data protection which is almost zero these days with the efficiency I got also saying really quickly that I would also presume that because every single document is so valuable and so essential power also relates to being able to sustain the organization of that day absolutely absolutely more you know going further into power as we was indicating is the is the performance of the backups the deduplication rate sending things over the over the network to our disaster recovery site very quickly very efficiently we can pull back you know do backups during business hours don't have to throttle it to just the overnight hours which those hours are you know off hours are getting fewer further between because in tax season in particular we have people working seven days a week all day so to send that data it's work needs to go in comp in a compact form doesn't prevent our staff from doing work whenever they want to want and need to be able to do it organizations increasingly focusing on the data data has more value means it's got to be protected in new ways bring in cloud requires new architectures games on is a big market you know thirty billion dollar plus ten when you add it all up rating it on a lot of people want it you're the leader congratulations guys all right thanks very much for coming on the cube Thanks all right keep it right there buddy the cube will be back from VMworld 2018 right after this short break [Music]

Published Date : Aug 29 2018

**Summary and Sentiment Analysis are not been shown because of improper transcript**

ENTITIES

EntityCategoryConfidence
AndreaPERSON

0.99+

BrianPERSON

0.99+

Peter BurroughsPERSON

0.99+

Dave VolantePERSON

0.99+

brian lindenPERSON

0.99+

VermontLOCATION

0.99+

MassachusettsLOCATION

0.99+

JulyDATE

0.99+

New EnglandLOCATION

0.99+

Mandalay BayLOCATION

0.99+

New EnglandLOCATION

0.99+

4,400QUANTITY

0.99+

VMwareORGANIZATION

0.99+

AustinLOCATION

0.99+

MaineLOCATION

0.99+

Las VegasLOCATION

0.99+

Brian LindenPERSON

0.99+

tenQUANTITY

0.99+

ninth yearQUANTITY

0.99+

BostonLOCATION

0.99+

DP 4400COMMERCIAL_ITEM

0.99+

DP 4400COMMERCIAL_ITEM

0.99+

thirty billion dollarQUANTITY

0.99+

DP 4400COMMERCIAL_ITEM

0.98+

first customerQUANTITY

0.98+

Rio BarrettPERSON

0.98+

VMworldORGANIZATION

0.98+

Ruya Atac-BarrettPERSON

0.98+

last yearDATE

0.98+

yesterdayDATE

0.97+

VMworld 2018EVENT

0.97+

Dell EMCORGANIZATION

0.97+

vmworldORGANIZATION

0.97+

VMworld 2018EVENT

0.97+

this yearDATE

0.96+

millionsQUANTITY

0.96+

firstQUANTITY

0.96+

oneQUANTITY

0.96+

PeterPERSON

0.95+

one interfaceQUANTITY

0.94+

this weekDATE

0.93+

IRSORGANIZATION

0.93+

one unitQUANTITY

0.93+

Melanson HeathPERSON

0.91+

New HampshireLOCATION

0.91+

one thingQUANTITY

0.91+

zeroQUANTITY

0.9+

seven days a week all dayQUANTITY

0.89+

five yearsQUANTITY

0.89+

RioPERSON

0.88+

every single documentQUANTITY

0.87+

threeQUANTITY

0.85+

lessonPERSON

0.84+

a lot of timesQUANTITY

0.7+

V blenderCOMMERCIAL_ITEM

0.7+

past five yearsDATE

0.7+

those frontiersQUANTITY

0.69+

VMwareTITLE

0.67+

lot more dataQUANTITY

0.65+

top-QUANTITY

0.62+

peopleQUANTITY

0.62+

HeathORGANIZATION

0.6+

one interfaceQUANTITY

0.6+

lotQUANTITY

0.6+

BethPERSON

0.58+

heathORGANIZATION

0.58+

-mingPERSON

0.58+

tasksQUANTITY

0.57+

SASORGANIZATION

0.55+

coupleQUANTITY

0.52+

MelansonPERSON

0.52+

lot moreQUANTITY

0.51+

10QUANTITY

0.5+

Jacob Broido & Neville Yates, INFINIDAT | VMworld 2018


 

>> Live from Las Vegas. It's theCUBE. Covering VM World 2018. Brought to you by VMware and Adziko System partners. >> Welcome back to the Mandalay Bay everybody in Las Vegas. My name is Dave Vellante, I'm here with David Floyer. This is day three of our wall to wall coverage of VMworld 2018. We've got two sets here in the VM Village. 94 guests this week. It's a record for the CUBE. Thanks so much for watching. I've been in this business as long as Pat Gelsinger and ever since I've been in this business people have said, "oh infrastructure's dying", and you know what, storage is the gift that keeps on giving. And I just, we love the conversations. Guys from Infinidat are here. Jacob Broido is the Chief Product Officer and Neville Yates is the Senior Director of Data Protection Solutions at Infinidat. Gentlemen, welcome to theCUBE. Happy VMworld 2018. >> Thank you >> Thank you >> All right Jacob, I'm going to start with you. >> Okay. >> So we have seen Infinidat come in. You're basically competing with all flash arrays, you're faster than Flash, and that's your sort of tag line. So you have this system designed for primary storage and then all of a sudden, you know last summer, around last summer, maybe it was the fall. We see you guys entering the data protection market with essentially the same architecture. How is it that you can take a system that's designed for primary storage faster than Flash, and then point it at data protection. Help us understand. >> That's a great question. So, it all starts with the fact that we designed our system to work with mixed workloads. And primary storage being our first keypoint, but the design and architecture supposed to work with any type of workload. And what we started seeing in the field is that our customers first displaced a lot of incumbent primary storage on us. And then we started seeing them putting backup workloads as well, and data protection workloads on our systems as well, and coming back and saying that this works amazingly led to more of that. This basically led us to a point of expanding on that strategy and introducing additional products and services. The key point for us in this was that it was remarkably easy for us to introduce additional capabilities because of the solid technical and architectural foundation. We're very fast. Our financial model enables us to do and go after the data protection market efficiently, and we're seeing this in the field. >> So Neville help us, paint a picture for us. You've got a long history in the data protection market. You were involved in disrupting tape, you've been a consultant in this space working with customers. What's the market sort of look like, the sort of available market for you guys? >> So when Jacob refers to the expansion into data protection, we took this technology as Jacob describes the InfiniBox, and we didn't just expand in one direction. We expanded in two directions, multi-direct, with the introduction of of InfiniSync, which is a means by which critical applications can enable a recovery point of zero, Jacob will go into more details on that. And then at the other end of the spectrum, we deliver a deploying InfiniGuard. Based on the same technology that Jacob described as the core, we're now able to be the target of factual re-enter, the typical grandfather/father/son, every 24-hours you do a backup, you do an incremental. And with deduplication as a front end to the core storage, now we've got a coverage across a data protection spectrum that nobody else can match. Recovery point of zero, leveraging replication technologies that Jacob will expand upon in a minute, Snap technology internal to InfiniBox, integrated with backup applications such as the dash-board management is all consistent, and then further down the spectrum, the InfiniGuard itself, dealing with the traditional kind of data protection schemes. A complete spectrum coverage. Nobody else can deliver it. Built on that technology core to the InfinityBox storage itself. >> So you got the full pyramid covered with the same fundamental architecture. But Jacob, you can't just throw the Box at data protection, you have to bring in other features, you got to be best of breed. So maybe you can talk a little bit about, double-click on some of those. >> Sure. So it all starts with kind of base foundation for our data protection that is InfiniSnaps. It's our snapshot core engine which from day one, we designed to work at multi-petabyte scale, and for us what that means is that you need to support hundred-thousands of snapshots and up to multiple millions. That's by design how we designed the system. But not only that, you have to have zero impact on performance. If you look at our systems in the field, our customers are doing thousands of snapshots per day. Some are doing tens of thousands or more per day with no performance impact, that's not even measurable on any of their performance graphs. This is the foundational technology on which we have built our forward looking additional data protection technologies. So, if we look upper in the pyramid of overall solutions for data protection, after that we introduce our asynchronous replication which is based on that snapshot technology for us. The reason we had such an efficient and groundbreaking snapshot technology, enables us to do the lowest RPO protection for async replication when comparing to any storage product on the market. We're talking about four seconds RPO, and this is something that no other vendor was able to do, because snapshots break at that pace. It's very hard to create and delete snapshots at scale at a such a short interval. >> Without performance degradation. >> Exactly, exactly. We were able to do this. And this is kind of one example of how our early days architectural planning and investment in our product architecture pays off year after year with every new feature. That's why it seems easy for now when we release features quickly, because we have such a solid technical foundation. >> One of the things that I was really fascinated by, was your purchase of Axxana. And how have you been able to use that to get this RTO zero, that you're claiming on that? I mean if you look at the marketplace at the moment, it seems to be that the storage vendors in general are owning this whole space of RTO, lower-RTO's, et cetera. >> That's a great question, but before we get into details about that I want to cover a kind of foundational technology for that, that enabled us to do this. And that is our synchronous replication within InfiniBox already. Which is also built on top of our async, which in turn, built on top of our snapshots. With our synchronous replication within InfiniBox, we're delivering the lowest possible latency for sync replication today. Just to give you an example of how low and how efficient that is, systems that are running synchronous replication on top of InfiniBox are having lower latency than a single all-flash array writing locally. Just imagine what it means. We're able to do the round trip right to another array, and complete the whole work faster than you'll have an all-flash array, a typical all-flash array doing. Now that foundational technology also is a key part of our InfiniSync implementation. Because what we did, we took a great product which comes from Axxana, which is the hardened black box, capable of withstanding any type of disaster, fire, floods, earthquake, whatever. And we essentially integrated it very closely with InfiniBox sync replication, where we're writing this very efficient low-latency sync operations to our InfiniSync appliance, and essentially enabling RPO zero over in the distance. So if you look at it from the heart things perspective which is the data path, we had existing capability, which is our sync replication within the array. We just had to integrate it with another great product, Axxana, and that essentially was more than anything an integration work rather than from scratch development. Because again, this is part of our philosophy, we plan ahead as far a our product, road map, and strategy, and when you lay out the foundation early on, you get to the point where some things look easy, because they were pre-made and prepared early on. >> So that's the tip of the pyramid. For those mission critical applications where you need RPO zero, you've now enabled customers to do that for much lower cost than let's say for instance, the three site data center. >> Yep. >> What about the sort of fat middle, Neville, of data protection, I think you guys call it InfiniGuard. Right? That's kind of your solution there. >> So InfiniGuard simply is InfiniBox storage, with all of it's resiliency and performance, and algorithms that outperform typical arrays, and in front of that we've integrated deduplication engines. These deduplication engines present themselves as targets to the traditional backup ecosystem, receive data, de-duplicate it, and use the resources of InfiniBox storage integrated into the InfiniGuard. And, it's been received well, because its ability to deliver aggressive recovery time objectives, because of its performance in terms of resource speeds. The traditional systems that have been designed ten or fifteen years ago were okay at doing backups, they were purposely built for backup processes. They suffer greatly as a byproduct of the process of deduplication, and the IO profile that that generates. InfiniGuard breaks through that, because of its performance in the underlying storage, in order to drive RTO's, for the recovery of those files that are under the 24-hour sort of data protection cycle. And the customers are receiving it well. They are amazed at the performance, the reliability, and the simplicity within which that fits into the existing ecosystem. So it completes. InfiniSync, InfiniGuard, with InfiniBox at the core in the middle. >> And so you partner with the backup software vendors. >> Of course. >> You're not writing your own backup software, right? >> No no no. So integration, Veeam, the ConVals, the Veritas OST's, et cetera. A little further integration when it comes to InfiniBox Snap technology. That is integrated into backup applications such as ConVal or Veeam. Specifically, you can use their dashboard and their scheduling scheme to trigger the snap that then is taken care of in InfiniBox. So, it's quite a comprehensive deliverable against the whole data protection paradigm. >> And have you made a cloud of that now? With your new service? >> Not yet, but as Jacob said, there's the vision, we are always building strategically, slightly ahead of the curve. So you can imagine that that's not lost on the radar screen. >> Right. >> I see this as a return on asset play. In other words, I've got the architecture, I've got my processes and procedures in place, I don't have to go out and buy a purpose built appliance for data protection now, I can use the asset that's on my floor, that people are trained on, what are your thoughts? >> Absolutely, it seems to me that you have, uh simplified tremendously, all of those previous steps, that took one to another to another, and put them all in the same box, and used the same technologies, to achieve much better end to end results. I think it's excellent. >> You're absolutely correct, and it's deliverable in a timely fashion, because the foundation is so strong. The investment that we made from day one, to make sure that that storage architecture was able to deliver the storage services at the right cost point, at the right resiliency, at the right performance levels, is the means by which we're able to accomplish that. No one else can do it. >> And there's another arc to this story. That we're constantly, we're continually investing into that foundation. Every, our customers, the one unique thing that they experience with us, is that their systems get better every time, every release that we have, every month they get better. Not only on performance, which is obvious, in that our systems are improving all the time. >> As opposed to the normal expectation is that >> Yes. >> as you fill it up it gets worse. >> Yeah. We are actually delivering the opposite. Our customers that are buying the system today, know that, the ones that experienced InfiniBox, know that it will become better over time. And that expands the whole spectrum. It's performance, it's reliability, but it also futures it. All of the things that we discussed here, were delivered free of charge through our software upgrade to our existing InfiniBox customers. And, without disclosing something specific looking forward, there are many more things in that area coming up pretty soon from us. >> Very innovative. You guys always solve problems differently, cutting against the conventional wisdom. You see, VMworld, a lot of glam. A lot of big market. And you guys, I was at your customer dinner the other night. A lot of happy customers. A very intimate event. And a lot of good belly to belly conversations. So congratulations. Final thoughts from each of you on VMworld 2018, the future of Infinidat, anything you want to share with us? Go ahead, Neville. >> Good show, the clients, the prospects that I've spoken to here, they get to open their minds in terms of our solution-offering, and it's generated a lot of interest, and it's going to be a good remainder of the year and a good 2019. >> Great, Jacob, final words from you. >> I agree as well. And we're, I'm seeing customers that are actually reaching out to new prospects for us, and telling the story of Infinidat, and that's catching on. And it's great to see that. >> Jacob, Neville, thanks very much for coming to theCUBE. Bringing you all the action from VMworld 2018, I'm Dave Vellante, for David Floyer. You're watching theCUBE, and we'll be right back after this short break. (light electronic music)

Published Date : Aug 29 2018

SUMMARY :

Brought to you by VMware and Neville Yates is the Senior Director going to start with you. How is it that you can take and go after the data the sort of available market for you guys? of factual re-enter, the the Box at data protection, This is the foundational and investment in our product architecture One of the things that and complete the whole work So that's the tip of the pyramid. What about the sort and in front of that we've the backup software vendors. So integration, Veeam, the ConVals, not lost on the radar screen. I don't have to go out and buy to me that you have, uh is the means by which we're the one unique thing that And that expands the whole spectrum. of you on VMworld 2018, and it's going to be a and telling the story of Infinidat, and we'll be right back

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
David FloyerPERSON

0.99+

Dave VellantePERSON

0.99+

Pat GelsingerPERSON

0.99+

JacobPERSON

0.99+

Jacob BroidoPERSON

0.99+

InfinidatORGANIZATION

0.99+

AdzikoORGANIZATION

0.99+

VMwareORGANIZATION

0.99+

Neville YatesPERSON

0.99+

94 guestsQUANTITY

0.99+

Las VegasLOCATION

0.99+

thousandsQUANTITY

0.99+

NevillePERSON

0.99+

last summerDATE

0.99+

Mandalay BayLOCATION

0.99+

24-hourQUANTITY

0.99+

two directionsQUANTITY

0.99+

AxxanaORGANIZATION

0.99+

first keypointQUANTITY

0.99+

VMworld 2018EVENT

0.99+

hundred-thousandsQUANTITY

0.98+

two setsQUANTITY

0.98+

firstQUANTITY

0.98+

2019DATE

0.98+

tenDATE

0.98+

VM World 2018EVENT

0.98+

this weekDATE

0.98+

one directionQUANTITY

0.97+

InfiniSyncTITLE

0.97+

zeroQUANTITY

0.96+

oneQUANTITY

0.96+

InfiniBoxORGANIZATION

0.96+

ConValTITLE

0.95+

one exampleQUANTITY

0.94+

fifteen years agoDATE

0.92+

three siteQUANTITY

0.92+

CUBEORGANIZATION

0.91+

OneQUANTITY

0.91+

eachQUANTITY

0.91+

todayDATE

0.91+

FlashTITLE

0.91+

InfiniGuardTITLE

0.9+

day oneQUANTITY

0.87+

VeeamORGANIZATION

0.87+

tens of thousands or moreQUANTITY

0.87+

millionsQUANTITY

0.86+

singleQUANTITY

0.85+

InfinidatTITLE

0.84+

VeeamTITLE

0.84+

INFINIDATORGANIZATION

0.83+

about four secondsQUANTITY

0.82+

every 24-hoursQUANTITY

0.79+

InfiniBoxCOMMERCIAL_ITEM

0.78+

zero impactQUANTITY

0.76+

InfiniBoxTITLE

0.75+

petabyteQUANTITY

0.75+

snapshotsQUANTITY

0.74+

dayQUANTITY

0.74+

InfiniGuardCOMMERCIAL_ITEM

0.73+

InfiniSnapsORGANIZATION

0.66+

InfiniGuardORGANIZATION

0.64+

thingQUANTITY

0.64+

VeritasORGANIZATION

0.63+

threeQUANTITY

0.61+

Data ProtectionORGANIZATION

0.61+

Jesse Rothstein, ExtraHop | VMworld 2018


 

(pulsing music) >> Live from Las Vegas, it's theCUBE, covering VMworld 2018. Brought to you by VMware and its ecosystem partners. >> Good morning from day three of theCUBE's coverage of VMworld 2018 from the Mandalay Bay, Las Vegas. I'm Lisa Martin, and I'm joined by my co-host, Justin Warren. Good morning, Justin. >> Good morning, Lisa. >> We're excited to welcome to the first time to theCUBE Jesse Rothstein, co-founder and CTO of ExtraHop. Jesse, it's nice to meet you. >> Nice to meet you, Lisa. Thank you for having me. >> Absolutely, so ExtraHop, you guys are up in Seattle. You are one of Seattle's-- >> Sunny Seattle (Jesse chuckles). >> Sunny Seattle. So, one of the best companies up there to work for. Tell us about ExtraHop. What to you guys do in the software space? >> Great. Well, ExtraHop does network traffic analysis, and that can be applied to both performance, performance optimization, as well as cybersecurity. Now, I'm not unbiased, but what I would tell you is that ExtraHop extracts value from the wired data better than anybody else in the world, and that's our fundamental belief. We believe that if you can extract value from that wired data and insights and apply in real-time analytics and machine-learning, then this can be applied to a variety of use cases, as I said. >> That's quite interesting. Some of the use cases we were talking about off camera, some of the things around micro-segmentation, particularly for security, as you mentioned, is really important, and also in software-defined networking, the fact that you are software, and software-defined networking we've had a few guests on theCUBE so far over the last couple of days, that's something which is really experiencing a lot of growth. We have VMware who's talking about their NSX software-defined networking. Maybe you could give us a bit of detail on how ExtraHop helps in those situations. >> Well, I'm paying a lot of attention to VMware's vision and kind of the journey of NSX and software, really software-defined everything, as well as, and within NSX, you see a lot of applications towards security, kind of a zero-trust, least-privileged model, which I think is very exciting, and there's some great trends around that, but as we've also seen, it's difficult to execute. It's difficult to execute to build the policies such that they maybe don't break. From my perspective, a product like ExtraHop, as solution like ExtraHop, we work great with software-defined environments. First, because they have enabled the type of visibility that we offer in that you can tap traffic from a variety of locations for the purposes of analysis. If left to its own devices, I think these increased layers of abstraction and increased kind of policy frameworks have the potential to introduce complexity and to limit visibility, and this is where solutions like ExtraHop can provide a great deal of value. We apply to both your traditional on-prem environment as well as these hybrid and even public cloud environments. The ability to get visibility across a wide range of environments, really pervasively, in the hybrid enterprise is I think a big value that we offer. >> We are at VMworld and on day one, on Monday, Pat Gelsinger talked about the average enterprise has eight or nine clouds. I heard somebody the other day say that they had four and a half clouds. I didn't know you could have a half a cloud, but you can. Multi-cloud, a big theme here, that's more the vision and direction that VMware's going to go into, but to your point, customers are living in this world, it's not about embracing it, they're in it, but that also I think by default that can create silos that enterprises need to understand or to wrap their heads around. To your point, they have to have visibility, because the data is the power and the currency only if you can have visibility into it and actually extract insights and take action. >> Absolutely. ExtraHop customers are primarily large enterprises and carriers, and everyone single one of them is somewhere on their own cloud journey. You know, maybe they're just beginning it, maybe their quite mature, maybe their doing a lot of data center consolidation or some amount of workload migration to public cloud. No matter where they are in that journey, they require visibility into those environments, and I think it's extremely important that they have the same level of visibility that they're accustomed to in their on-prem environment, with their traditional workloads, as well as in these sort of borne-in-the-cloud workloads. But, I want to stress visibility for its own sake isn't very useful. Organizations are drowning in data, you can drown in visibility. For us, the real trick is to extract insights and bring them to your attention, and that's where we've been investing in data science and machine-learning for about four and a half to five years. This is before it became trendy as it is today. >> Superpower, like Pat called it. >> There's so much ML watching, when you walk in the show floor, almost every vendor talks about their AI and machine-learning. A lot of it's exaggerated, but what I'll say for ExtraHop, of course, ours is real, and we've been investing in this for years. Our vision was that we had this unbelievable amount of data, and when you're looking at the wired data, you're not just drinking from the firehose, you're drinking from Niagara Falls. You have all of this data, and then with machine-learning, you need to perform feature extraction on the data, that's essentially what data science teams are very good at, and then, build the ML models. Our vision was that we don't want to just give you a big pile of data or a bunch of charts and graphs, we actually want to bring things to your attention so that we can say, "Hey, Lisa, look over here, "there's something unusual happening here", or in many cases there's a potential threat or there's suspicious behavior, an indicator of compromise. That's where that sort of machine-learning I believe is the, kind of the-- well, certainly the current horizon or the state of the art for cybersecurity, and it's extremely important. >> Jessie, can you give us an example of one of your enterprise customers and how they've used ExtraHop to manage that complexity that Lisa was talking about, that visibility that they need to get through all the different layers of abstraction, and maybe, if there's one, an example of how they've done some cybersecurity thing, particularly around that machine-learning of detecting an anomaly that they need to deal with? >> Sure, I can think of a lot. One customer of mine, that unfortunately, I can't actually name them, is a very large retail customer, and what I love about them is the actually have ExtraHop deployed at thousands of retail sites, as well as their data centers and distribution centers. Not only does ExtraHop give them visibility into the logistics operations, and they've used ExtraHop to detect performance degradation and things like that, that we're preventing them from, literally preventing the trucks from rolling out. But they're also starting to use ExtraHop more and more to monitor what's going on at the retail sites, in particular, looking for potential compromises in the point-of-sale systems. We've another customer that's a large, telco carrier, and they used ExtraHop at one point to actually monitor phone activations, because this is something that can be frustrating if you buy a new phone, and maybe it's an iPhone, and you go to activate it, it has to communicate to all these different servers, it has to perform some sort of activation, and if that process is somehow slow or could take a long time, that's very frustrating to your users and your customers. They needed the ability to see what was happening, and certainly, if it was taking longer than it usually does. That's a very important use case. And then we have a number of customers on the cybersecurity side who are looking for both the ability to detect potential breaches and maybe ransomware infections, but also the ability to investigate them rapidly. This is extremely important, because in cybersecurity, you have a lot of products that are essentially alert cannons, a product that just says, "Hey, hey, look at this, look at this, look at this. "I think we found something." That just creates noise. That just creates work for cybersecurity teams. The ability to actually surface high-quality anomaly and threats and streamline and even automate the workflows for investigation is super important. It's not just, "Hey, I think I found something", but let's take a click or two and investigate what it is so we can make a decision, does this require immediate action or not. Now, for certain sort of detections, we can actually take an automated response, but there are a variety of detections where you probably want to investigate a little more. >> Yeah. >> I also noticed the Purdue Pharma case study on your website, and looking at some of the bottom line impacts that your technology is making where they saved, reduced their data center footprint by 70% and increased app response times by 70%. We're talking about pharmaceutical data. You guys are also very big in the healthcare space, so we're talking about literally potentially life-saving situations that need to be acted on immediately. >> Certainly that can be true. Healthcare, there can be life-and-death situations, and timely access to medical records, to medical data, whether it's a workstation inside an exam room or an iPad or something like that can be absolutely critical. You often see a lot of desktop and application virtualization in the healthcare environment, primarily due to the protection of PHI, personal health information, and HIPPA constraints, so very common deployments in those environments. If the logins are slow or if there's an inability to access these records, it can be devastating. We have a large number of customers who are essentially care providers, hospital chains, and such that use ExtraHop to ensure that they have timely access to these records. That's more on the performance side. We also have healthcare customers that have used our ability to detect ransomware infections. Ransomware is just a bit of a plague within healthcare. Unfortunately, that industry vertical's been hit quite hard with those infections. The ability to detect a ransomware infection and perform some sort of immediate quarantining is extremely important. This is where I think micro-segmentation comes into play, because as these environments are more and more virtualized, natural micro-segmentation can help limit damage to ransomware, but, more often than not, these systems and workstations do have access to something like a network drive or a share. What I like about micro-segmentation is the flexibility to configure the policies, so when a ransomware infection is detected, we have the ability to quarantine it and shut it down. Keep in mind that there's defense in depth, it's kind of a security strategy that we've been employing for decades. You know, literally multiple layers of protection, so there are always protections at your gateway, and your firewall, at the perimeter, your NGFW, and there are protections at the endpoint, but if these were 100% effective, we wouldn't have ransomware infections. Unfortunately, they're not, and we always require that last, and maybe a last line of defense where we examine what's going on in the east-west corridor, and we look for those potential threats and that sort of suspicious activity or even known behaviors that are known to be bad. >> Well, Jesse, thanks so much for stopping by theCUBE and sharing with us what ExtraHop is doing, and what differentiates you in the market. We appreciate your time. >> My pleasure, Lisa, Justin. Thank you so much for having me. >> And we want to thank you for watching theCUBE. I'm Lisa Martin with Justin Warren. Stick around, we'll be back. Day three of the VMworld 2018 coverage in just a moment. (pulsing music)

Published Date : Aug 29 2018

SUMMARY :

Brought to you by VMware of VMworld 2018 from the and CTO of ExtraHop. Nice to meet you, Lisa. you guys are up in Seattle. What to you guys do in the software space? and that can be applied Some of the use cases we were and kind of the journey going to go into, but to your point, and bring them to your attention, things to your attention but also the ability to in the healthcare space, and timely access to medical and what differentiates you in the market. Thank you so much for having me. you for watching theCUBE.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Justin WarrenPERSON

0.99+

Jesse RothsteinPERSON

0.99+

eightQUANTITY

0.99+

JessePERSON

0.99+

Lisa MartinPERSON

0.99+

Pat GelsingerPERSON

0.99+

LisaPERSON

0.99+

100%QUANTITY

0.99+

SeattleLOCATION

0.99+

JustinPERSON

0.99+

JessiePERSON

0.99+

70%QUANTITY

0.99+

MondayDATE

0.99+

Niagara FallsLOCATION

0.99+

iPadCOMMERCIAL_ITEM

0.99+

Las VegasLOCATION

0.99+

twoQUANTITY

0.99+

iPhoneCOMMERCIAL_ITEM

0.99+

FirstQUANTITY

0.99+

VMwareORGANIZATION

0.99+

ExtraHopORGANIZATION

0.99+

PatPERSON

0.99+

One customerQUANTITY

0.99+

Mandalay Bay, Las VegasLOCATION

0.99+

first timeQUANTITY

0.98+

bothQUANTITY

0.98+

four and a half cloudsQUANTITY

0.98+

VMworldORGANIZATION

0.98+

about four and a halfQUANTITY

0.98+

VMworld 2018EVENT

0.97+

theCUBEORGANIZATION

0.97+

Day threeQUANTITY

0.96+

todayDATE

0.96+

nine cloudsQUANTITY

0.96+

decadesQUANTITY

0.96+

one pointQUANTITY

0.95+

five yearsQUANTITY

0.94+

oneQUANTITY

0.94+

a half a cloudQUANTITY

0.93+

day oneQUANTITY

0.91+

ExtraHopTITLE

0.89+

singleQUANTITY

0.88+

NSXORGANIZATION

0.87+

day threeQUANTITY

0.87+

Purdue PharmaORGANIZATION

0.86+

thousands of retail sitesQUANTITY

0.83+

zeroQUANTITY

0.74+

SunnyPERSON

0.62+

HIPPATITLE

0.57+

daysDATE

0.53+

a clickQUANTITY

0.53+

lastDATE

0.51+

Robin Matlock, VMware | VMworld 2018


 

>> Live from Las Vegas. It's theCUBE. Covering VMworld 2018. Brought to you by VMware, and its ecosystem partners. >> Hello everyone. Welcome back to theCUBE live coverage here in Las Vegas for VMworld 2018. It's our ninth year covering VMworld. Since 2010 we've covered every VMworld. Been with the journey and the transformation of VMworld. I'm John Furrier with Dave Vellante. We've got two sets here in the middle of VM village. And we wouldn't be here if it wasn't for CMO Robin Matlock, who's on theCUBE right now. Welcome back. Great to see you. >> I'm happy to be here guys, again. >> Again, great. >> Thanks for the support, for bringing theCUBE here. The community has been responding positively to the coverage because you guys had so much content here this year. As Pat said, a lot of the fruits been blooming off the tree from all the investments in product. And business is good. >> Good, we're keeping you guys busy I hope. Yep. It's been good. >> So what's going on? Let's get the numbers. We always get it out of the way. How many people are here at the event? We're at the Mandalay Bay. What's the story? >> Yeah, it's a great audience this year. We're definitely seeing some nice growth. We're well over 21,000 here today. Covering all segments of the market. Covering Asia Pacific. The Americas. Also executives as well as our true-blue IT practitioners. >> You got CIOs and practitioners with the hands-on labs, a range of audience personas. >> Yeah, it kind of goes from the practitioner base up. Your mid-level management, VPs, IT decision makers, CIOs. We really have a very wide variety. >> And the theme this year is? >> Possible begins with you. >> (laughs) Okay. >> Yeah, I popped into the CIO event last night. >> Yeah? >> And it was pretty high quality folks. I don't recall, you know, five, six, seven years ago seeing that kind of emphasis and that kind of seniority at the event. Did I just miss it, or is that new? >> No. It's been evolving over the years. I mean, at VMworld's core it is a technical conference Right? So I would say the base of the volume of the program is still catered towards a real, hands-on, technical practitioner and middle management. But we are seeing more business executives come. They want to know what their teams are exploring. They want to understand vision. And I think VMware's value proposition to enterprises is growing and therefore, it's starting to be more of a business conversation. So that is a segment of the audience that is growing. >> And you're nurturing that. Also you're making sure the hands-on labs are the best of the best. I saw Eric Nielsen has this new VMware code thing going on. >> Yes. >> Here at a little hack-a-thons happening. >> So a lot of mix in the community. The community is still robust. The ecosystem floor probably has more energy than I've seen since probably 2012 or something like that. Last time I've seen it this massive. 2012, remember Dave, was pounding. And then this year, it's just, the lift is big. Where's that coming from. >> Yeah. You know I think it's coming from a lot of things and there's no one silver bullet. First of all, VMware is just doing really well. Right? The company is very performing. It's success for our customers that've really come to buy into our strategy and our vision. And they have a veracious appetite to learn. And this is the place. You want to understand where the industry is going. You are technical and you want to be on the edge of the latest and greatest. VMworld is the place to come. So I think we're hitting on many different categories of technology. And it's all pulled together here. So it's one week where you can go from networking, to storage, to management, automation, cloud, mobility. It's all right here. >> And you guys always kind of keep a low profile in the market. You don't over amplify, over play your hand and grandstand too much on the marketing side. Which as always been the DNA of VMware. But this year, you've got Amazon coming on stage again. Andy Jassy returns to do a major announcement that Amazon, really for the first time, is building a product for VMware, on VMware, on premises. Pat's on stage. So you see the commitment from the two companies, the biggest public cloud provider, and the biggest operator of virtualized infrastructure and private cloud, partnering and performing. So I think that really kind of put a lot of wind in your sails. I mean, a lot of people are talking about it. It's been pretty much the top news story, the impact of that relationship. How has that affected VMworld? The announcements are, it seems like more announcements than ever before. How has that relationship changed you guys? >> Well I definitely think, we're several years into it now, and we are seeing the fruits of that effort. A couple of thoughts. First of all, the AWS relationship is not our sole element of our cloud strategy, but it's a big pillar of our cloud strategy. And I think, at the end of the day, by understanding our vision for how we can help deliver a bridge to the public cloud, the hybrid cloud, it is giving our customers the license and the comfort and the confidence to continue to invest. Whether it's in their data center or is in their public cloud. So there's something about just having that clarity of vision and strategy that unleashes potential, even in the data center. I think the second thing, to me, what was so significant with this Amazon announcement with VMware. Is you are now talking about public cloud services running on Primm. The line between public and private. The line between on premise and off premise is fading. It's blurring. We're going to get to a point where we're just going to talk about what's the workload, and what's a service I need to deliver the workload. Okay, and then I can consume those services in different ways, and what's the right way to consume those services. But it's not a monopoly on an off premise, or a monopoly on an on premise. It's a blur. And I think that's going to be in the best interest of customers, because I think it's going to really boil down to what is the workload, what are the services I need, and I have a lot of options on how to consume that. And I'm all for that. I think it's going to be great. >> Well, I got to say, John and I have watched this evolution for for now, as he said, this is our ninth year. You guys have done a great job of really being calm about all the things that were supposedly going to kill you. (laughter) Open stack, open source, cloud, Kubernetes, containers. You've embraced them all. I mean, I know cloud for a while was a little bit confusing. But now it's a real tailwind for you guys. I mean, great job there. And I think a lot of that is sort of how you've dealt with it internally, messaged it externally. I wonder if you could just address that for a minute. >> Yeah. You know, I love that observation about VMware, because that speaks to two big concepts: resiliency and innovation. In this industry you have to be constantly innovating. And if you get too protective of the market that you're in, you start to get into a cocoon. And then people are innovating around you and they're making you obsolete, and you're not even seeing it happen. I think VMware has a veracious appetite for innovation. And we are pushing, and pushing, and pushing. And we're never relaxed. We are always, you know, often pleased but not satisfied. Right? It's like you're never, ever done. And that keeps us being open to innovating, where once we might have been protective. It's like don't worry, things will change. We'll innovate on top of that. It's alright, a new environment. We'll innovate in that context. And I think we're very good about that. And then the other thing I think is resiliency. In this industry, there's not that many that can go from decade to decade and still be highly relevant. But you have to have the grit, and you have to have the kind of gorilla appetite that you will continue to reinvent yourself, listen to your customers, bring your ecosystem along, and partner like nobody else. And in the end you'll deliver more value. >> You know, that's a great point. I love that comment. That's going to be a highlight on our highlight reel for sure. I'll add, and love to get your reaction to, how you guys have maintained the community vibe and the ecosystem vibe. Again, to Dave's point, this is core. Pat said on earlier today, you know, "we're always going to have an open ecosystem." That's been the core DNA of VMware. So, and you also have a really strong community, hence the technical focus. These tech oriented folks, they love the tech. And they speak up a lot, you know that. They speak well. >> Oh yeah. They're vocal. >> They let you know when it's not right. But you guys embrace it. That hasn't changed. That's been a positive. How do you do it? >> Yeah, that's exactly right. I think we have, over the years, just built ecosystem into our core DNA. It's now defined by who we are and how we do things. And, you know, going back to your Amazon comment, I think that is simply an example, we know how to partner. We've been at it for 20 years. And it's just been part of how we perceived the requirements to be successful. And because of that it's now, we're just good at it. We get it. And the reason we're good at it is because we very much understand it's bi-directional. You can only win when you win together. >> You know, one other thing I want to point out, and at least give you guys some props while you're here and get your reaction to it is, we've done a little bit more cube with you guys, outside of the scope of the event. We did a lot of women in tech leadership events. We were invited to the first radio event where they opened it up to some press. So we got a glimpse inside >> Internal engineering kind of conference, yup. >> It's a total R&D, it's with all the technologies being incubated, it's a really great thing. Also being on campus, you guys are always consistently voted the best place to work, you got the innovation in the R&D, and you've just got a great workforce. So, that is also a cultural thing within VMware, right? 'Cause Pat said, we're going to continue to drive technology products, and sales and marketing for customers. Your reaction? >> Yeah, I think people are at the heart of great businesses. Right? And we have to create an environment where people can do their best work. Radio is a wonderful example. So that's an internal conference for our engineering teams. But what it is about building community within our engineering community. How do they explore new things? How do they take risks? And explore and innovate and try new things. And then how do they share that with their colleagues from all over the world. And I think that's just part of our value system is creating these kind of communities internally and externally. >> You opened it up to press, talk about taking a risk. >> That was a first time, yeah. >> That was the first time you've ever opened it up to some press outlets. We were one of three. But it was a peek. That's a risk. >> It is a risk. And I think the idea there is that being protective is not really helpful. That what you need to do is to really be open. That there's so much to deliver value and innovate. There's not reason to be so secretive. It's more about how can we feed of each others ideas. How can we plant seeds and see if these things are going to resonate. We don't know for sure these new emerging things are going to work or not. So the more we get feedback early, I think the faster we'll innovate. It'll accelerate innovation. It won't hold it back. >> Well, and your point about the ecosystem is right on. Sanjay made the point about ROI today. I thought that was really interesting data. About 10x was a conservative return number in the 100s of billions if not trillion of dollars that you've sort of paid forward through the ecosystem to the end customers. It's powerful. >> Very powerful. And at the end of the day, we need to just continue to focus on delivering more and more economic value, right? Whether it's cost savings, whether it's being able to fuel new innovation, whether it's consolidation. At the end of the day we all have to get more done with less and have more value and more impact. >> Well it's interesting to see you being in Amazon into this ecosystem, because you said you guys partnering is part of your DNA. You know, generally Amazon's partnerships have been come on into the marketplace, right? And now, they're diving into this world. Bringing their technology on prem. Which was heresy five years ago. You never would've seen Amazon do that. So, do you think you can teach Amazon something about partnering, humbly? >> Well, I'll let Amazon comment on that as opposed to me. >> Amazon's got a lot of partners, Dave. They've got thousands of partners. >> But, you know, I'm going to go back, I can't speak for Amazon on what their learning journey has been. I do feel confident that VMware, we are good at partnering, and I think we build good partnerships. >> My final question for you is community. Obviously, as people grow there's a demand for more cloud advocates, more cloud engineers, cloud architects. You guys always had a nice lock on that constituent. But we're seeing a lot of competition hire away people from communities. How do you maintain that community fabric when potentially they might be migrating to other communities. Is it through open source? Dirk Hohndel is leading the efforts with open source. Saw him last night. How are you thinking about maintaining an open, but yet inviting community when people potentially are being migrating around different communities. >> Yeah, I think you have to look at communities as personalities, and kind of the DNA of a community. And it's not a one-size-fits-all. When you're in the dev ops world, you need to act and behave and engage a certain way. You need to bring a certain type of content to that. Trust me, they don't want a lot of marketing in those conversations, right? When in enterprise class, you might be dealing with a different type of DNA. It's about proven, stability, security, resiliency. So there's a little different nature of the community and the dialogue there. I think our philosophy is you got to bring the right content to the people. And it's different, but make sure you understand the needs of the community. And we don't own these communities, right? These are volunteer, people do this because they care, and they want to and they're passionate about it. Our job is to foster that passion. Help make them effective, let them share amongst themselves. They are going to move around communities, we just want to be a part of it. We're not trying to own it, we're trying to be a part of it. >> That's the key, you try to get a land grab ownership, that's when they run. >> I don't think that's what it's about. I think it's really just about, what is the sense of community? What does the word mean? It means coming together, it means sharing, it means helping each other, it means people with like-minded needs and wants and interests. >> Robin, thanks for coming on Cube. I know you're super busy. Thanks for sharing. >> Always. >> Final word, just overall impressions so far. Are you happy the way things are going? The conference is phenomenal. Everything going smooth? >> You know, I couldn't be more excited about what's happened here so far. We're only into day two. For me, a couple of the highlights is how now the industry is starting to talk about tech as a force for good. So now we're starting to move out of the conversation of just the technologies, and the products, and the impact. But what are we collectively doing to make this world a better place. That's a new dialog. And I got so much positive response from Malala today. From, you know, some of the things that we're talking about impact on the world. And I think these just nothing but upside and opportunity for us. >> And that speaks to the culture, you guys are very inspirational. Love the tech for good. People want to work for a company that's doing tech for good, as well as making a profit. >> So do I. >> Thanks for coming on, appreciate it. >> You bet, you guys. >> Thanks, Robin. >> We're doing our best for good here on theCUBE by bringing the great voices in the community and also the executives bringing the content to you here. Two stages, ninth year covering VMworld. We're here with Robin Matlock the CMO. Stay tuned. I'm John Furrier, and Dave Vellante. We'll be back with more coverage. Stay with us.

Published Date : Aug 29 2018

SUMMARY :

Brought to you by VMware, And we wouldn't be here if it wasn't for CMO to the coverage because you guys had so much Good, we're keeping you guys busy I hope. We always get it out of the way. Covering all segments of the market. You got CIOs and practitioners with the hands-on labs, Yeah, it kind of goes from the practitioner base up. and that kind of seniority at the event. So that is a segment of the audience that is growing. are the best of the best. So a lot of mix in the community. VMworld is the place to come. And you guys always kind of keep And I think that's going to be in And I think a lot of that is sort of how you've dealt the kind of gorilla appetite that you will continue And they speak up a lot, you know that. Oh yeah. But you guys embrace it. And the reason we're good at it is because and at least give you guys some props while you're here Also being on campus, you guys are always consistently And I think that's just part of our value system is creating But it was a peek. And I think the idea there is that in the 100s of billions if not trillion of dollars And at the end of the day, we need to just continue to focus Well it's interesting to see you being in Amazon Amazon's got a lot of partners, Dave. I do feel confident that VMware, we are good at partnering, Dirk Hohndel is leading the efforts with open source. I think our philosophy is you got to bring the That's the key, you try to get a land grab ownership, I don't think that's what it's about. I know you're super busy. Are you happy the way things are going? now the industry is starting to talk about tech And that speaks to the culture, and also the executives bringing the content to you here.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
DavePERSON

0.99+

Dave VellantePERSON

0.99+

JohnPERSON

0.99+

AmazonORGANIZATION

0.99+

Dirk HohndelPERSON

0.99+

AWSORGANIZATION

0.99+

RobinPERSON

0.99+

VMwareORGANIZATION

0.99+

PatPERSON

0.99+

Eric NielsenPERSON

0.99+

Andy JassyPERSON

0.99+

Robin MatlockPERSON

0.99+

John FurrierPERSON

0.99+

2012DATE

0.99+

thousandsQUANTITY

0.99+

20 yearsQUANTITY

0.99+

two companiesQUANTITY

0.99+

Las VegasLOCATION

0.99+

oneQUANTITY

0.99+

VMworldORGANIZATION

0.99+

SanjayPERSON

0.99+

Asia PacificLOCATION

0.99+

ninth yearQUANTITY

0.99+

first timeQUANTITY

0.99+

second thingQUANTITY

0.99+

this yearDATE

0.99+

todayDATE

0.98+

five years agoDATE

0.98+

VMworld 2018EVENT

0.98+

Mandalay BayLOCATION

0.98+

one weekQUANTITY

0.98+

two setsQUANTITY

0.98+

fiveDATE

0.98+

last nightDATE

0.98+

FirstQUANTITY

0.97+

two big conceptsQUANTITY

0.97+

threeQUANTITY

0.97+

trillion of dollarsQUANTITY

0.96+

day twoQUANTITY

0.96+

2010DATE

0.95+

over 21,000QUANTITY

0.95+

100s of billionsQUANTITY

0.94+

VMworldEVENT

0.94+

Two stagesQUANTITY

0.93+

earlier todayDATE

0.92+

seven years agoDATE

0.91+

first radio eventQUANTITY

0.88+

sixDATE

0.86+

Keith Busby, The School District of Philadelphia | VMworld 2018


 

(upbeat Techno music) >> Live from Las Vegas, it's theCUBE, covering VMworld 2018. Brought to you by VMware and it's ecosystem partners. >> Welcome back to theCUBE, we are live day two of VMworld in Las Vegas, Mandalay Bay. It's apparently very hot outside but we're in here getting all the exciting scoop. I'm Lisa Martin with my esteemed co-host John Furrier. Hey, John. >> Great to see you, welcome back to the set. >> Thank you so much. John and I are pleased to be joined by a Fortinet customer, Ken Busby, Keith Busby, excuse me, the executive director of information technology and security at the school district of Philadelphia. Keith, welcome to theCUBE. >> Thank you, thanks for having me. >> So, the school district of Philadelphia, eight largest public school district in the United States. You've got over 134,000 students. >> Yes. >> Over 18,000 staff. If only your IT budget was enormous, right? >> Yes. (laughing) >> So you guys, something also interesting, this morning Malala Yousafzai was speaking with Sanjay Poonen. Very intriguing, on the whole spirit of education, let's talk about that. You guys gave Chromebooks to over maybe half the students, about 50, 60 thousand? >> Well it's not one to one, so they're shared resources, they have carts throughout the school. We have between 50 or 60 thousand Chromebooks on our network right now. >> So I imagine great for the students and the education, the firewall security maybe a bit challenged? >> As we started transitioning to the Chromebooks, it overwhelmed our legacy internet firewalls so we had to go out and do proof of concepts and test multiple vendors. >> Talk about the security, we had Pat Gelsinger sit in theCUBE, I think four years ago, Dave Vellante, co-host, asked him, "Is security a do over?" And he's like, "Yes, it's a do over, "we need to do a do over." I said mulligan, used all kinds of terms, resetting. How have you guys set up your security architecture because I've heard stories of fishing attacks just to get the bandwidth to do Bitcoin mining, to crazy things on the security front. How are you guys laying out your network security? >> Honestly, it changes on a day to day basis, right? Because as new vulnerabilities come out, you always have to adjust your posture. Over the last year and a half we redesigned to wear we're not, we were routing through web proxies, we're required to do web filtering for the students by the CIPA, Children's Internet Protection Act. When we replaced our legacy firewalls, we were able to transition everything over to that and just use the Fortinet firewall to do web filtering, intrusion prevention, anti-virus and traditional firewalling. >> How virtualized are you guys? >> Pretty much completely virtual. We still have a few legacy physical servers but pretty much all. >> One of the things that came up in keynote, today was Sanjay Poonen but yesterday Pat Gelsinger, referred it to, was the bridging of the ways, connecting computers together but he mentioned BYOD, bring your own device as one of the ways and that was really the iPhone kind of generation. Obviously kids got Instagrams and they're on all kind of devices these days, how is that impacting your IT? Is it up and running, is it solid? What are some of the details? >> We don't have a traditional BYOD policy. It's more teachers get devices and they bring them in and we just have to find ways to support it so it stretches us, we're a small staff so we can't always help the end user with their devices so if they bring their own device, we have issues, they're trying to use applications that we can't support for whatever reason so it's an issue. >> Obviously all the devices that come in to the school in addition to the 60,000 Chromebooks, needing to rethink your security architecture, what were some of the technical requirements that you were looking for that made Fortinet the obvious choice? >> Performance and cost, right? As we spoke about, we have budget constraints. They have an extremely high performing firewall at a reasonable price. After we did proof of concept with five different vendors, and theirs just out performed them all. >> How about automation? A big talk in cloud is automation. How are you guys handling automation? Are you micro segmenting? >> We're transitioning to the NSX and Fortinet VMX for our server firewall. That's going to allow us, since we're short staff, if our server team stands up a new server my policies automatically take effect, just through the use of their security tags. >> That's the Fortigate product, right? The VMX? >> Yes. >> How is that working for you guys? >> We just did the proof of concept, we haven't transitioned our live systems over to it. But so far all our tests have shown that it does what we expect it to do. >> What's it like working in such a huge school district? I mean it's basically like, it's probably like a case study in campus wide networking. (laughing) >> We look at it as we're an ISP, right? Every school comes through us. We always say that we're protecting the internet from our students. We have smart kids and they-- >> They're digitally native. >> Yeah. They find ways to do things and then next thing you know I'm getting a report by a website saying, "Hey, we got students coming and throwing attacks at us." >> I was talking to a guy in higher ed about the bandwidth, they have huge bandwidth so obviously people game, including gaming centers, have all kinds of IP management issues. Fortnite's pretty hot, I'm sure how many people are playing Fortnite on your-- >> Luckily we don't allow that, right? (laughing) >> But this is what kids want to do. They're like born hackers. >> It is. >> They're curious. >> Yes. >> And it's good thing but you also want to basically make sure they're safe. >> Yes, that's pretty much what my job is. I want them to learn but at the same time, don't use it for malicious purposes. >> Yeah, its' true. One of the things I liked about public sector is cloud really makes things more efficient. >> It does. >> What are some of the things that you've seen with virtualization and with cloud kind of on the horizon, how has tech helped you guys be efficient and be lean and mean, kind of the 10X IT kind of guy thing? >> Like you said, lean and mean, right? We have a very small staff. The school district's budget is 3.2 billion dollars and IT's operating budget is 20.8 million dollars so as you can see, we really have to be cost effective and that's where virtualization comes into play. >> What's some cool tech that you like on the horizon? We hear a lot about SDWAN, sure that might be something that's cool for you guys? >> I like the VPCs, right? AWS, virtual private clouds, where you can set up your own network out there in Amazon's world, attach it to your vSphere so you can have on premise virtualization and out in the cloud, I think that. >> One of things that Pat Gelsinger talked about yesterday we hear this a lot John, is tech for good. I liked how he described it as it's essentially neutral, it's up to us, VMware, everybody else, to shape it for good. I imagine that's challenging? We talked about the Fortnite explosion, which I have only heard of but you've got so many devices, I imagine there's some amount of security gaps that are probably acceptable. In terms of reducing the maliciousness of some of the things that happen in there, tell us about some of the things that you're achieving there, leveraging such things as the automation, how is that helping you guys to enable the Chromebooks and the BYOD for good? >> Well the automation frees up our time so that we can focus on the policies, the education, the different procedures for the district. This way we're not spending time hitting the keyboard, trying to review our traffic logs. >> You had a session yesterday which you were talking, a breakout session, and you were saying that there were some folks that were so interested in what you we had to say, you had limited time in your session. Give a little bit of an idea of some of the feedback or maybe even people that might be in your similar situation that want to learn from, hey, how did you guys tackle this huge problem? >> They were from a school district in Nebraska and they wanted to see how we were handling and they just became a Fortinet customer and they wanted to see what trials and tribulations we had implementing their equipment, any lessons learned and kind of, we just had a conversation about where we see our programs going. It was nice. >> What about compliance? One of the things that's come up is managing the laws of the land. >> Luckily, I don't have much compliance, right? So we're not PCI, CIPA's pretty much, and FERPA but the only reports that we really have to provide are for CIPA, we'll have to prove that we're doing web filtering. That's where the Fortinet analyzer comes into play. I'm able to just schedule the reports through there. Shows that I'm blocking based on categorization, and we're good. >> What's the biggest thing you've learned over the past couple years in tech and IT to be effective and to do your job, what's the learnings? (laughing) >> It's going to sound weird coming from a security guy but I think it's important to take the risk, right? Accept the risk. Most organizations won't try a piece of equipment live, right? I was the exact opposite, I put every firewall that we were going to try live and pushed our entire network through it. I mean, if it breaks some things, we figured it out but I think that's the only way to get a true test of whether or not it's going to fit your needs. >> One of the things that came up yesterday, I interviewed Andy Bechtolsheim, you know, legend, been called the Rembrandt of chips, Pat Gelsinger called him that down to Arista and other companies. He talked about how NSX has the security wrapped around the application, more around NSX, that's freed up his security teams from handling a lot of the network security which kind of like has been intertwined in the past. Are you seeing that same picture emerge? >> That's why I'm transitioning to that, to get out of the traditional IP base firewall rules. It's not really what it was designed for, it was more for a transport layer. So switching over to the NSX and the BMX, now we're basing it on the application, what it's purpose is. >> What's the impact to you guys? What's that mean for your operations and your benefits for staff, what's the impact? >> It frees us up. During the winter months when we're going to have a snow storm, our server team might have to deploy some more web servers to handle the traffic that's going to come in. Before they would have to reach out to my team, to get us to modify a policy because they have new device coming online, well now they just tag it as a web server and it's automatically in the roles. >> You know I love talking about this topic. I have four kids, two of them are still in high school, two are in college, so it's so funny how they all hacked their report cards because the sandbox was out there for testing the new curriculum so they all get it and they all share it and the school sends out a note, "Well, that's not actually officially updated yet." So the kids are smart, like you said, they're going to get what a sandbox is. They don't know why it's there, they know how to get to it, so you got student elections, all kinds of things that go on in the academic world that have been digitized that are vulnerable, you have to handle that. How do you stay on top, does Fortinet help you there? Or what's the main way to keep the secure access? >> I mean that's why we're going with the VMX, NSX, the micro segmentation, it really takes the effort off of us and allows the appliances to do what they're intended to do. >> That's awesome, well it's a great case study. Any advice for practitioners out there who are in your seat in their world who might be looking at, okay I got to reset, I got to start rethinking things, I got to do more with less, I got to be lean and mean? It's kind of command and control but you got to manage it, you got a lot going on, it's the battlefield of IT is changing. >> Yes. >> So what's your advice? >> Take the risk. (laughing) Try it out. I just recently hired another engineer and on his first day I pretty much told him, "Go ahead and break something, it's alright, "we'll figure it out, we'll fix it." He has his own little lab and I'm like, "Just go mess around and figure it out." >> Play, do some R and D. >> Yeah. >> Kick the tires, yeah, it's the best way to do it. Keith, thanks so much for coming on theCUBE, really appreciate it. It's theCUBE live here in Las Vegas, stick with us for more coverage after this short break. (upbeat techno music)

Published Date : Aug 28 2018

SUMMARY :

Brought to you by VMware all the exciting scoop. Great to see you, and security at the school district in the United States. If only your IT budget Very intriguing, on the Well it's not one to one, to the Chromebooks, Talk about the security, for the students by the CIPA, but pretty much all. One of the things and we just have to Performance and cost, right? How are you guys handling automation? That's going to allow us, We just did the proof of concept, I mean it's basically like, protecting the internet and then next thing you know higher ed about the bandwidth, But this is what kids want to do. And it's good thing but you also want I want them to learn but at the same time, One of the things I have to be cost effective and out in the cloud, of some of the things Well the automation frees up our time idea of some of the feedback and they wanted to see what One of the things that's come up but the only reports that it's going to fit your needs. One of the things to get out of the traditional automatically in the roles. So the kids are smart, like you said, it really takes the effort I got to do more with less, Take the risk. it's the best way to do it.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Ken BusbyPERSON

0.99+

JohnPERSON

0.99+

Keith BusbyPERSON

0.99+

Dave VellantePERSON

0.99+

Sanjay PoonenPERSON

0.99+

NSXORGANIZATION

0.99+

NebraskaLOCATION

0.99+

Malala YousafzaiPERSON

0.99+

twoQUANTITY

0.99+

Lisa MartinPERSON

0.99+

Pat GelsingerPERSON

0.99+

Pat GelsingerPERSON

0.99+

John FurrierPERSON

0.99+

Andy BechtolsheimPERSON

0.99+

20.8 million dollarsQUANTITY

0.99+

AmazonORGANIZATION

0.99+

Las VegasLOCATION

0.99+

yesterdayDATE

0.99+

KeithPERSON

0.99+

four kidsQUANTITY

0.99+

iPhoneCOMMERCIAL_ITEM

0.99+

3.2 billion dollarsQUANTITY

0.99+

FortinetORGANIZATION

0.99+

FortniteTITLE

0.99+

AWSORGANIZATION

0.99+

United StatesLOCATION

0.99+

VMwareORGANIZATION

0.99+

todayDATE

0.99+

CIPATITLE

0.99+

60 thousandQUANTITY

0.99+

AristaORGANIZATION

0.98+

four years agoDATE

0.98+

Over 18,000 staffQUANTITY

0.98+

OneQUANTITY

0.98+

BMXORGANIZATION

0.98+

five different vendorsQUANTITY

0.97+

over 134,000 studentsQUANTITY

0.97+

PhiladelphiaLOCATION

0.97+

FERPAORGANIZATION

0.97+

VMworld 2018EVENT

0.97+

first dayQUANTITY

0.96+

oneQUANTITY

0.96+

Children's Internet Protection ActTITLE

0.95+

ChromebooksCOMMERCIAL_ITEM

0.95+

day twoQUANTITY

0.94+

10XQUANTITY

0.94+

half the studentsQUANTITY

0.92+

Las Vegas, Mandalay BayLOCATION

0.91+

last year and a halfDATE

0.85+

theCUBEORGANIZATION

0.85+

50QUANTITY

0.85+

eight largest public school districtQUANTITY

0.85+

about 50, 60 thousandQUANTITY

0.84+

The School District ofORGANIZATION

0.83+

60,000QUANTITY

0.81+

PCIORGANIZATION

0.8+

VMworldEVENT

0.79+

RembrandtORGANIZATION

0.78+

this morningDATE

0.78+

vSphereTITLE

0.71+

explosionEVENT

0.71+

VMXORGANIZATION

0.7+

themQUANTITY

0.69+

Chhandomay Mandal, Dell EMC | VMworld 2018


 

(upbeat music) >> Live from Las Vegas, it's theCUBE! Covering VMworld 2018. Brought to you by VMware, and its ecosystem partners. >> Hey, welcome back to theCUBE! Our continuing coverage at VMworld 2018, I'm Lisa Martin with my co-host John Troyer. We're very excited to welcome back to theCUBE one of our alumni, Chhandomay Mandal, the director of product marketing at Dell EMC. Chhandomay, it's great to talk to you again! >> Thank you, nice to be here. >> We just seem to do this circuit in Las Vegas. >> Yeah. (laughing) >> So, loads of people here, we last got to speak four months ago at Dell Technologies World, thematically that event about making IT transformation real, about making digital transformation real, security transformation real. Let's talk about IT transformation. Yesterday, Pat Gelsinger talked about you know, the essentialness that customers have to transform IT, it's an enabler of digital transformation, let's talk about what Dell EMC is continuing to help customers do, to transform their IT so they can really get, get on that successful journey to digital transformation. >> Yes, the Dell transformation is key into this digital economy in order to thrive in this new world, right? And, digital transformation is fueled by IT transformation. For us, IT transformation means modernizing the underlying infrastructure, so that they can deliver on scale, performance, availability, cost-effectiveness. They can also automate a lot of the manual processes, and streamline the operations, net result being freeing up the resources, and kind of like, deliver the transformation for not only application processes, but also businesses in general. So, with our portfolio, we are helping customers into this journey and since we talked at Dell Technologies World, it is going great, we are seeing a lot of adoption in this portfolio. >> Chhandomay, I love, you know, you work on high-end storage, right? Which is. >> Yes. >> Which means that these are business-critical applications that you are supporting. >> Absolutely. >> And, that means that they're the most, in some of the ways, some of the most interesting, right? And the deepest and most important, when you're talking digital transformation. But it comes down to, you know, as you say, efficiency and how the IT department is running. In the olden days, you'd get a VMAX, and you'd have an admin, and there's a lot of knobs and adjustments and tuning, and you have to keep that machine running smoothly because they're supporting the enterprise. Now, new next generation PowerMax, some of the, you know, tell us a little about that. What I'm really impressed with is all the automation, and all the efficiency that goes into that platform. >> Absolutely. Absolutely. So, PowerMax is our latest flagship high-end product. It's an end-to-end NVMe design platform, designed to deliver like highest level of performance. Not just performance, but highest level of efficiency, as well as all the trusted data services that are synonymous with VMAX. And, not to talk about the six-nines of availability, all those goodness of the previous generations carried over. But, the key thing is, with PowerMax, what we have done is, if I need to boil it down into three things, this is a very powerful platform. It's simple, and it's trusted. So now, when I talk about very powerful, obviously performance is part and parcel. It is actually the fastest storage array. 10 million IOPS, 150 gigabytes per second, >> It's a maniac, it's a, it's a screamer, it's amazing. >> Et cetera, et cetera, et cetera. >> Yeah yeah, yeah. >> But like that's kind of like a table steak and bread and butter for us. Now, what I want to highlight is, how simple the platform has become. We have a built-in machine learning engine within the platform. And now, instead of like, I need this much of capacity and this much of performance, you can actually provision storage based on the surface levels that you need to give your customers. And we, underneath, will take care of like whatever it means for any workloads you are running. And how are you doing it? So for example, today, right? Most of the applications are still like business applications, like Oracle, SAP, you name it. But, within the digital transformation, a lot of the modern, analytics heavy applications are also coming in, right? So, if I were to break it up it would be say like, 80, 20, to 80% business, 20% modern applications. Now, we are seeing the modern applications getting adopted like higher and higher and-- >> It's going to flip, right? At some point. >> Yes. Like in three to five years, the ratio will be opposite. Now, if you are buying an array like PowerMax today, how can we deliver the performance you need for business applications of today, while taking care of the analytics heavy applications of tomorrow, at the same time, meeting your applications? I mean, meeting your SLS all the way through. And that's where the machine learning engine comes in. It like, takes 40 million data sets in real-time. It makes six billion decisions per day, and, essentially, it figures out from the patterns in the data, how to optimize where to place the load, without the administrators having to like, tune anything, so it's like, extremely simple. Completely automated, thanks to the AI and ML engine. >> Taking advantage of those superpowers, AI, ML, that Pat. >> Yes. >> Talked about yesterday, so you talked about it's efficient, it's fast, trusted. Speaking of trust, Rackspace, long-time partner of Dell EMC and VMware, we actually spoke with them yesterday, Dell EMC and PowerMax particularly, have been really kind of foundational to enabling Rackspace to really accelerate their business, in terms of IT transformation. Talk to us about that in terms of them as a customer. >> So, nice that you bring up, Rackspace, they got a shout-out from Pat yesterday as the leading multi-cloud provider in the managed space, right. Now, if you look at Rackspace, they have like 100,000 plus customers all with various types of needs. Now, with a platform like PowerMax, they are able to simplify their IT environment, reduce a lot of consolidation happening on that dense platform. So they can reduce the footprint a lot of, less power culling. At the end of the day, they're minimizing their operational expenses, simplifying the management, how they manage their infrastructure, monitor their infrastructure. It becomes kind of like, invisible, or self-driving storage. Like, you really like, don't worry about it. You worry about the business, value it, and innovations that IT can bring, for your digital transformation. While the array kind of like, does it own work. A lot of work, no mistake about it. But everything is kind of like, hidden from the admin perspective. Whether you are running Oracle or Splunk, it figures out like what to do. Not only like maintaining the service levels, but as the technology evolves you bring in not just NVMe necessities, but next-generation storage class memory, they are going to automate and do the plasmid by itself. >> Yeah, that's huge, right? Because, and that's where you free up those time and resources, and brain power, frankly, for your IT and group then to be able to work on more strategic projects than tuning this particular data store and LUN or whatever for Splunk and et cetera, right? You've got so much, again, self-driving kind of self-driving storage, there. I also, Chhandomay, I also wanted to talk about the other kind of high-end array in Dell EMC's portfolio, the XtremeIO. And that, you know, all-flash, you can talk a little about that, but you know, what are the use cases there, and when should people be looking at that? And what kind of, what's new in that world? >> Sure. So, PowerMax is the flagship high-end productive spin, like evolved over 30 years, 1,000 plus patents, right? Whereas if you contrast it, XtremeIO is a purpose-built, all-flash array designed to take advantage of the flash media and designed from the ground up. Now, it delivers very high performance with consistently low latency. But, the key innovation there is the way it does in line, all the time, our data services. Especially the data reduction, the content, 800% in memory content, our metadata, helps deliver a new class of copy services so, and then, I mean, it scales modular loots, scale up and scale out. So, the use cases where XtremIO is very efficient is where you need a lot of, I mean you have a lot of common datas, for example VDI, we can offer like, very high data reduction ratios reducing your footprint for VDI type environment. The other use case is active, open data management. So, for example, like for every database, there are probably like eight to 10 copies at a minimum. Now with XtremIO, like you can actually use those copies, same as the production platform, and, cut around workloads on them. Like whether it's like your VIO upload, or like reporting test day of sandboxing. All of those things can be run at the same platform, and like the array will be able to deliver like, without any sweat. >> And as I said, you're doing copy data management sort of thing? >> Yes. >> Yeah, okay that's great. >> Yes, yes, yes. >> Yeah, that's. >> So, customer examples, you know how much I love that. You talked about this really strong example with PowerMax and Rackspace. Give us a great example of a customer using XtremIO X2 that's really enabled with these superpowers to grow their businesses. >> Sure, so at VMware what best can it be saying the customer, in this case will be, guess what? >> VMware. (laughing) >> So, VMware's IT cloud infrastructure team is using XtremIO X2 for their factualized SMP HANA environment. And there are several other workloads in the pipeline. But what I want to highlight is like, what and how they are doing it. So they have their production environment, they are leveraging replication technologies for our tier, and then from that tier, they are making copies, on those copies they are applying the patches, sandboxing, all those things. An exact replica of the production environment. And then, like when they are done, they are rolling it back out to the production. And the entire workflow is kind of like automated, tested, and a great example of, like how they are doing it. But it's not just the copy that are management, there are other aspects to it. So for example, the performance. Now, they started with like a two terabyte VM and they tried to clone both in the traditional storage, and XtremIO. With the traditional storage, it took like 2 1/2 hours. With XtremIO, it was done in like 90 seconds. >> So from two hours to 90 seconds. >> Seconds. >> Is dramatic. >> And, like they ran the data reduction, they can as if. So, for VMware's entire ESX production environment, this is like 1.2 petabyte storage. Now, with XtremIO data reduction technology, they can see that it will be reduced to like, 240 terabyte worth of storage. So, essentially, from three rows of storage, it would be reduced to three racks of XtremIO. So, you can see, these settings in, all over the place. Like, I mean footprint, power cooling management, all of those things. So, that would be my best example of, like, how XtremIO X2 is being used for, I mean, in a transformative way in the IT environment. >> Well it kind of goes along with one of the things that Pat Gelsinger talked about yesterday from VMware's perspective is, I think that the stat was, they've been able to reduce CO2 emissions by 540 million tons. Sounds like XtremIO might be, want to be, invisible. >> Yeah, of course. >> Facilitators. >> Yeah, yeah. Like we are contributing a lot in that. And I mean, at the end of the day, this is, like, what digital transformation is about right? So like, absolutely, yes. >> That's great, Chhandomay, I mean, the, I would love to have a problem. I would love to have a problem that required running, you know, hot on XtremIO because I think those are super interesting problems. And the fact that you can, you know, actually turn those huge data sets into something that's actually manageable and, I can envision three racks, I can't really envision, half a data center's worth of spinning discs, so, that's amazing. I love the fact that the engineering that goes into these high-end systems that you, on your, on the team, there. >> Yeah, so the one other thing I wanted to mention was the future-proof loyalty program. >> Yeah we've heard a little bit about that, tell us. >> Yes, so, this is essentially for our customers three things, like one is peace of mind. You know like what you are getting, there are no surprises. The second thing is investment protection. And then the third would be like (mumbles). So, there are like several components to it. And, like, it is not only like for XtremIO or PowerMax, it's pretty much like for the portfolio there is a list. Like, of what is part of it, and it's continually growing. Now for XtremIO and PowerMax purpose is the important things of asking for like if it's a three year warranty, and then like tier pricing, they know, like, exactly like what they are going to pay for support today as well as when maintenance renewal comes up. Then, (mumbles) migrations. So, back from exchange, right? Like with XtremIO to the next-generation PowerMax to PowerMax dot next, but like, they are covered with non-disruptive migration plans, storage efficiencies. And the last two things that we added they truly like we have announced that VMware is cloud-enabled. And cloud conception models, so like, I mean, as Michael says, cloud is not a place it's an operating model. So even with XtremIO and PowerMax, customers can pay for what they're using, and then, like, it's called flex on-demand. And they use, I mean when they use the buffer space, they can pay for that. And then with CloudIQ, we can monitor the storage areas from the cloud. It's the storage analytics, so it's cloud-enabled as well. So it covered pretty much like, all of the things Pat talked about yesterday. >> Fantastic, well I'm going to go out on a limb. Yesterday, I've asked a number of folks, what would you describe, I asked Scott Delandy, the superpower of certain technologies. And what I'm getting from this is trust. Like, the Trustinator, so, maybe that? Can you make a sticker by the time we get to Dell Technologies World next year? >> Oh yeah, absolutely, yeah. >> Chhandomay, awesome. Great to have you back on theCUBE, >> Thank you. >> Thank you so much for sharing all the excitement what's going on. We'll talk to you next time. We want to thank you for watching theCUBE, for John Troyer, my co-host, I'm Lisa Martin. We are live at VMware with day two from the Mandalay Bay Las Vegas. Stick around, John and I will be right back with our next guest. (upbeat music)

Published Date : Aug 28 2018

SUMMARY :

Brought to you by VMware, and its ecosystem partners. Chhandomay, it's great to talk to you again! So, loads of people here, we last got to speak They can also automate a lot of the manual processes, Chhandomay, I love, you know, you work applications that you are supporting. And the deepest and most important, But, the key thing is, with PowerMax, It's a maniac, it's a, Et cetera, et cetera, the surface levels that you need to give your customers. It's going to flip, right? from the patterns in the data, Taking advantage of those superpowers, Talked about yesterday, so you talked about but as the technology evolves you bring in And that, you know, all-flash, of the flash media and designed from the ground up. So, customer examples, you know how much I love that. (laughing) So for example, the performance. So, you can see, these settings in, all over the place. Well it kind of goes along with one of the things And I mean, at the end of the day, And the fact that you can, you know, Yeah, so the one other thing I wanted to mention And the last two things that we added they truly like Like, the Trustinator, so, maybe that? Great to have you back on theCUBE, We'll talk to you next time.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

Pat GelsingerPERSON

0.99+

MichaelPERSON

0.99+

John TroyerPERSON

0.99+

Chhandomay MandalPERSON

0.99+

40 millionQUANTITY

0.99+

ChhandomayPERSON

0.99+

JohnPERSON

0.99+

80QUANTITY

0.99+

threeQUANTITY

0.99+

Las VegasLOCATION

0.99+

90 secondsQUANTITY

0.99+

two hoursQUANTITY

0.99+

Scott DelandyPERSON

0.99+

800%QUANTITY

0.99+

20%QUANTITY

0.99+

yesterdayDATE

0.99+

VMwareORGANIZATION

0.99+

eightQUANTITY

0.99+

Dell EMCORGANIZATION

0.99+

five yearsQUANTITY

0.99+

RackspaceORGANIZATION

0.99+

20QUANTITY

0.99+

1,000 plus patentsQUANTITY

0.99+

2 1/2 hoursQUANTITY

0.99+

1.2 petabyteQUANTITY

0.99+

80%QUANTITY

0.99+

next yearDATE

0.99+

two terabyteQUANTITY

0.99+

thirdQUANTITY

0.99+

240 terabyteQUANTITY

0.99+

YesterdayDATE

0.99+

540 million tonsQUANTITY

0.99+

VMworld 2018EVENT

0.99+

PatPERSON

0.99+

three thingsQUANTITY

0.99+

six-ninesQUANTITY

0.99+

tomorrowDATE

0.99+

10 copiesQUANTITY

0.99+

PowerMaxORGANIZATION

0.99+

todayDATE

0.99+

over 30 yearsQUANTITY

0.99+

ESXTITLE

0.99+

four months agoDATE

0.98+

100,000 plus customersQUANTITY

0.98+

oneQUANTITY

0.98+

Dell Technologies WorldORGANIZATION

0.98+

three racksQUANTITY

0.98+

OracleORGANIZATION

0.98+

six billion decisionsQUANTITY

0.97+

bothQUANTITY

0.97+

three rowsQUANTITY

0.96+

DellORGANIZATION

0.96+

SMP HANATITLE

0.96+

XtremIO X2TITLE

0.96+

day twoQUANTITY

0.96+

Mandalay Bay Las VegasLOCATION

0.95+

second thingQUANTITY

0.95+

10 million IOPSQUANTITY

0.94+

two thingsQUANTITY

0.93+

XtremIOTITLE

0.93+

SplunkORGANIZATION

0.92+

Vaughn Stewart, Pure Storage | VMworld 2018


 

>> Live from Las Vegas, it's the CUBE, Covering VMWorld 2018. Brought to you by VM Ware and it's ecosystem partners. >> Hey, welcome back to Las Vegas Mandalay Bay. Lisa Martin with Dave Vellante at VMWorld 2018 Day One. Dave, this has been an awesome day. >> Yeah, jam-packed and almost 1/3 of the way through, 94 guests, I think our biggest show ever. >> I think I'm going to say, I'm going to make up a word and say it's going to get awesomer because we have one of our distinguished alumni, Vaughn Stewart, >> Wow. VP of Technology Alliances and Strategy at Pure Storage, Vaughn, great to have you here. >> Lisa, Dave, thanks for having us back. >> Great to see you again. >> Yes, ditto. >> We had a blast hosting the CUBE at Pure//Accelerate just a couple months ago. >> We got T-shirts. >> But we were sporting our, yeah, in the context of the Bill Graham Civic. I feel too dressed-up actually for talking to Pure Storage. So some great momentum you guys had when we were there a few months ago, great momentum continues, quarterly revenue earnings just announced, 37% year-over-year growth, almost 400 new customers. Gartner, fifth year in a row, you guys are a leader in the Magic Quadrant for Solid-State Arrays, wow! >> Yeah a lot was shared last week with the financial results, right? Couple more just points of color-commentary, if you will. 309 million dollars, 27% of quarter-over-quarter, 35% of penetration of the Fortune 500, roughly 30% of the revenue comes from the cloud providers, say like clouds number eight through 500, on the Magic Quadrant, right, five years in a row being in that upper-right quarter, quadrant. And if you look back on it historically, just the players that have come and gone and their positions have changed and we've kind of been the foundational element in that corner, I think speaks to, how well we know the length of market, on top of all that, right, Pure Storage's first acquisition, right, StorReduce. >> Congratulations. >> For those of you who maybe haven't heard of StorReduce, start-up, their focus is on providing data deduplication across object stores, born in the cloud, Pure software play, I think we're going to continue to leverage that within it's current focus in market area as well as expand our, it's part of our cloud strategy and even maybe bring some of it into the current on-prem product portfolio. Lot's of opportunities available to us with that IP. >> So, you know, when you look back at the sort of, well first of all, flash, Solid-State, upper right. But there's life beyond flash arrays, right. So if you look at some of the early guys, you remember Astec, if that's even how you say it, Fusion, and a lot of people predicted, oh you know, same thing, everybody's going to catch up to Pure, but you guys kept innovating, cloud is now a fly wheel for you guys, you really went hard after it. So I wonder if you could talk about the evolution and sort of phases as you guys see them of the company? >> Yeah so for your audience, I think one way to look at this with a start-up is when your founders have an idea of bringing a product to market, you have to be very laser-focused which means there's trade-offs, right, there's a lot of things that you can't do so that you can bring your technology to bear, your product, you've got to you know be able to gain market share, right. Customers' revenue is kind of like the lifeblood early on. And we've evolved past that, right, there's been the passing on the torch last year with our change in CEO from Scott who moved on to be chairman of the board, bringing in Charlie, and I think we're really at this phase of the beginning of what I call Act II, along the way, flash array which is our flagship and our initial product, has helped customers adopt technologies through different business models, right, the Evergreen Storage play, us introducing non-volatile memory express into all of our products, you know, half of our customer shipments in Q2 were all NVMe, right, so. Allowing customers to adopt technologies in new models that they didn't have before that aren't rip and replacements has been a key to our success beyond the tech. Flash blades often up and running in net new areas of business opportunities for us like AI and ML. And now you get StorReduce, right, this cloud component. I would say that the legacy of Pure, that Act I that Scott built is going to continue to run for the next couple years kind of on auto-pilot. And that's not to be dismissive of the field that's got to go out and execute every, you know, every day, every quarter, but Charlie's vision about what we're going to evolve into, I mean we're really if, to use a baseball analogy because someone was talking Sox before the cameras went on >> Who could that have been? >> Yeah, yeah. (laughs) You know, we're in the beginning of the first inning, you know, StorReduce is just, I think the tip of what we're going to do. We got 1.1 billion in the bank, you know, we've got a little bit of capital to continue to invest in the portfolio. So right now the focus is on still, I think there's two ways to look at this. What I find most enterprise customers want to talk about is how do I merge three modern technologies, right? All-flash, hyper-conversion, and cloud? Give me a strategy that unifies them, not one that divides. And we can have a whole conversation on that. Then there's this whole other segment around analytics and AI which, you heard it here in the keynote this morning with Pat. Focus area, you know for VM Ware, AI is the modern version of what analytics were six years ago. And so this is something that I don't think all the practitioners here are aware of. It comes from a data science or the application side into the infrastructure, and we're trying to help people make a turnkey AI-ready infrastructure through the RE product within video so there's just a lot to talk about. >> And you can see those worlds coming together with, take cloud, take AI, take data, which is what you're all about. >> Yup. >> That's kind of the innovation sandwich of the next 10 years. It ain't Moore's Law anymore, right? It's AI, applying machine intelligence to the data and scaling a cloud. >> You know one of the things that Silicone Angle I think may have been at least the largest analyst firm that I saw jump on this early, was around the notion of bringing your data to the infrastructure. >> Yeah, absolutely. >> And then you guys pushed in, you guys leaned in really hard about three or four years ago on that the world is a hybrid model. It's not one or the other, it's all hybrid. And you even talked about the differences in the type of data sets and it's computational requirements and where it may or may not be placed, as well as you really leaned in on the interop requirements to cross the different silos. >> Yeah, that's right. >> So kudos to your research. >> Yeah, thank you, and we've quantified that. It's actually that whole idea of bringing the compute to the data, for example, wherever it resides. I mean that's a big, big business. If you look at the size of the market of those folks trying to replicate substantially cloud on-prem, it's 30 billion dollar businessing growing very, very rapidly. And you guys play in both sides of that, I mean that's what's impressive, you're not just on-prem, you're not just in cloud, you're hybrid. >> Here's a good example of how cloud evolves. We're really proud of our net promoter score, right. It's 86.6, top 1% of B2B businesses, right. I look at external points of validation whether it's a net promoter score, what an analyst firm ranks you at in their Magic Quadrant or others, as are you delivering to your customers your promise to them, right, you're marketing material. Part of why our score is so high is the product's reliability is there and it delivers. Underpinning that is we've got a predictive analytics technology that helps the arrays achieve greater than Six Nines availability, right? That component, that's Pure One, that was born in the cloud. That was born in AWS, and we talked about this in a session at our Accelerate conference, which is we've got greater than nine petabytes up there. Every time we do a new, we're working a new algorithm for AI to make our product better for our customers, we have to download a year's worth of historical data. That takes 45 days to download in stage. So we're moving it to a hybrid model. And what's it going to allow us to do? It's instantly going to help us reduce our cost and accelerate our AI initiatives by six X. And it's just a bridging of the technologies. Regardless of what you have, you have an all-flash array, you're a cloud provider, you're a hyper-converged. Sometimes your product teams look at the world with like, I got to hammer and that's a nail and what really provides sophisticated outcomes is when you can bridge the technologies based on results. >> Speaking of marketing messaging, some people, some companies like to say they are data-driven, or they will enable their customers to become data-driven. At Accelerate a few months ago, Pure Storage talked about data-centric architecture. Now we all hear data is the lifeblood, data is power, data is currency, it's none of those things unless an organization can harness it and extract the insights and act on them immediately. >> Right. >> Talk to us about the data-centric architecture. What is that, how have you seen that, we'll say, accelerate in momentum in the last few months? >> Great questions, so thank you for bringing that up. I think on the surface, one may look at a data-centric architecture message as being oh, that's what you would expect from a storage vendor to say, right? Sounds like something aligns to your products. And I think there was some inside baseball being shared, if you will, in that message, right? There was some telegraphing going on. Because at the core of the message, what we're trying to say is, your traditional applications tend to be more stove piped and siloed, right? What you see, and I'll take this through two levels, what you see with taking traditional applications or legacy apps and you virtualize them, and now you want this mobility where you can move the application around anywhere, all-flash or on-prem or into the cloud, that's one form of movement. Modern applications are distributed, right? There are a collection of processes, different data sets and the application's much more like a pipeline. And so when you look at data from a view of pipeline, you have to stop thinking about your silo that's wrapped around your one tool that you as a developer may have a responsibility for in the product or the code. >> Your God box, as it were, right. >> You got to figure out how does it work in a pipeline with others, how are you going to ingest data and hand off data? So in a data-centric architecture, we're trying to advocate that there's a value in shared architectures and in addition to this, there's been this whole market that's grown up over the last decade initially around analytics where their architectures were designed around DAS architectures. And you have to look back a little bit to get a understanding of where we are today which was, you go back ten or twelve years ago, it was really easy with the par of intel to bury a disc-based storage rate, no matter what size it was and which vendor put it out. You could saturate the IL bandwidth. Now we're at a day and age today, shared accelerated storage, fast network interconnect with non-viable memory express over fabric whether we're talking ethernet or fiber channel. I now have the latency that's within ten microseconds of direct attach storage. I get all the benefits of shared. And I get some new architectural models that may help me with costs and efficiencies. And so you're starting to see vendors in the software space follow in suit and so, for example, you've got Vertica releasing support for S3 on-prem. You've got VM Ware adding more fuel around VVOLS and interoperability between VVOLS, vSAN, and VM Cloud. There's more partners that have more activity going on that I can't share because they've got announcements coming through the second half of the year but vCloud Air just published in July a new paper on HDFS on remote storage regardless of the protocol so you're seeing all these DAS-centric vendors start to say, alright, our customer-base is telling us they need a shared model. So shared accelerated, flash, NVMe, NVMe over fabric, it's going to fuel new architectures that are more flexible. >> So I want to follow up with that because you're right, the data pipeline is elongating and it's getting quite complex. I mean if you're an AWS customer, which we are actually, if you use kinesics, DynamoDB, EC2, S3, you know Red Shift, etc. Those are all sort of different proprietary APIs. Sometimes you don't know what you should do where until after you get the bill. >> Right. >> Can you help solve that problem for customers and simplify that or are you just a piece of that chain? >> So we have a component within the chain but we're working with our field and our field technologists to help advise customers particularly around what I'd call like a cloud-first strategy. So, if we look outside of storage and you're looking in the cloud developers and it's function as a service, for example. >> Right. >> So we use our own case study, right, Pure One. We got hooked into function as a service within our provider. And what we've found was our ability to use multiple clouds, our ability to go hybrid-cloud, and our ability to actually take our analytics and be able to package it up and deliver it to dark side customers that, there's about a third of our customers that won't allows for their units to phone home, okay? Three-letter acronyms that run in the federal space. Cloud-first meant that we just take that function as a service and instead of making the direct API call put it in a container. Now once you're containerized, I can run it on any cloud. Right, and now again, cross-public cloud, hybrid, into private, and it gives you a lot of flexibility. So we're working on architectures and educational conversations, not just about the data pipeline and how your data has to transform as it goes through these different phases, but also at the higher level, really going to be leaning in on containerization and so the customers can have greater mobility, and again, we'll use our own use-case and evolution of Pure One is the front and center message there. >> I'd love to get your perspective, kind of changing the topic, on the ecosystem evolution. You've observed the VM Ware ecosystem. You remember well, I mean it's just strange that EMC ended up with this asset, right? I mean it's kind of unnatural and all of a sudden, boom, it explodes, and you had this storage company somewhat controlling, you had the storage cartel kind of which, VM Ware wanted to placate, so that was good, that sort of was a bulwark against EMC having too much control. Now you see Del's ownership, you see the AWS relationship. As an ecosystem partner who's now reached escape velocity and beyond, what do you make of all this? >> I think you have to look across Pat's time and before Pat to Diane, right? Diane made it clear, right, when there was acquisitions in play for VM Ware, right, she said, we'll never be owned by a server vendor. And so storage vendor acquires EMC, and for all the blustering of EMC control, there was never anything that was proprietary towards EMC with VM Ware, right. >> Right. >> The focus was on the entire partner ecosystem. That's a good bat, right, let the harbor vendors go battle out for who's got best in class, just deliver the VM software to the market. Allow VM Ware to go innovate on different timeframe than the storage layer. Now that Del is in the ownership seat, you have the same answers from Pat, when he sits down with Charlie it's like, look, we're going to be independent, we're going to be agnostic, we're going to take you as a partner to help us build frameworks. So for example, we're one of the lead design partners on NVMe over fabric, we're doing technology previews with vSphere in the booth. We're the fastest growing VVOL partner. So I know I'm making plugs here but I don't think anything's changed, right. I think VM Ware's business model's been brilliant to not become tied to any hardware partner and focus on what you do better than anyone else which has been delivering virtualization and what I really like about this show, and tell me if you think so, right. AWS was shared last year, right? Containers have been shared at this show for about four years. This year was a focus, right, it was AWS, it was containers, it was automate everything, and then inherently it brings security in as an inherent component of the products, right? These are really bold, strong investments that they've made that are new, right. So you see the evolution of VM Ware, and we're partnering with them on a number of these initiatives and there's nothing to share now. That'll be next year. >> Well and you're right, Vaughn, the picture's getting clearer. I thought Pat's keynote was very good this year, and crisper and more cogent relative to the strategy than last year and previous years. It's really starting to come together. Now what about the AWS piece because that's also a company with whom you have a relationship. So does the VM Ware, AWS partnership, is that a tailwind for you guys? Or is it, hey, we're trying to get the attention of AWS, too. >> So I would say our, so we signed a formal VM Ware alliance relationship this year, and I would say it's progressing well. What we can share with the market right now is minuscule to what we'll be sharing, say later in the year, beginning of next year. But for right now where we're at is, so we're a direct-connect partner, gold-level sponsor for their conference, re:Invent. With VM Ware and AWS and Pure as a three-way alliance and partnership, VM Cloud, VM C, is going to add support for iSCSI, that's a second-half of the year initiative, or fourth-quarter initiative, and we'll be there as a lead development partner supporting that framework when it comes online. It's going to open a lot more flexibility for us and our joint customers about adopting either your own on-prem hardware or running it on the Amazon hardware. Make it fit your business model whichever way you want to roll but make it fully interoperable and move the data and the compute instances seamlessly and non-disruptively. >> Guys. >> It helps to be a hot company. >> I wish we had more time. I'm hearing accelerated momentum and maybe some teasers that Vaughn dropped, >> Yes. That maybe the CUBE needs to be, yeah. >> We'll stay in touch. >> We'll get some more interviews. >> Yeah. >> (Laughs) Vaughn, thanks so much for joining Dave and me and sharing all this exciting news that's going on, and like I said, accelerated momentum, pun intended by the way. >> Thank you, thanks guys. >> Great to see you. >> We want to thank you for watching the CUBE for Dave Vellonte, I'm Lisa Martin with the CUBE at VM World Day One from Las Vegas, stick around, we'll be right back. (funky music) >> Hi, I'm John Walls. I've been with the CUBE for a couple years.

Published Date : Aug 28 2018

SUMMARY :

Brought to you by VM Ware Lisa Martin with Dave Vellante almost 1/3 of the way through, Vaughn, great to have you here. We had a blast hosting the CUBE in the Magic Quadrant for 35% of penetration of the Fortune 500, available to us with that IP. and sort of phases as you got to you know be able We got 1.1 billion in the bank, you know, And you can see those of the next 10 years. the notion of bringing your on that the world is a hybrid model. idea of bringing the Regardless of what you have, and extract the insights in the last few months? and now you want this mobility and in addition to this, what you should do where looking in the cloud and so the customers can and beyond, what do you make of all this? and for all the blustering of EMC control, and focus on what you do is that a tailwind for you guys? and the compute instances that Vaughn dropped, That maybe the CUBE needs to be, yeah. We'll get some more pun intended by the way. We want to thank you I've been with the CUBE

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

PatPERSON

0.99+

AWSORGANIZATION

0.99+

Dave VellantePERSON

0.99+

John WallsPERSON

0.99+

Dave VellontePERSON

0.99+

Lisa MartinPERSON

0.99+

45 daysQUANTITY

0.99+

CharliePERSON

0.99+

JulyDATE

0.99+

DavePERSON

0.99+

DianePERSON

0.99+

last yearDATE

0.99+

Las VegasLOCATION

0.99+

1.1 billionQUANTITY

0.99+

27%QUANTITY

0.99+

35%QUANTITY

0.99+

VaughnPERSON

0.99+

next yearDATE

0.99+

AccelerateORGANIZATION

0.99+

94 guestsQUANTITY

0.99+

last yearDATE

0.99+

Vaughn StewartPERSON

0.99+

five yearsQUANTITY

0.99+

VM WareORGANIZATION

0.99+

fifth yearQUANTITY

0.99+

37%QUANTITY

0.99+

AmazonORGANIZATION

0.99+

86.6QUANTITY

0.99+

Pure StorageORGANIZATION

0.99+

This yearDATE

0.99+

last weekDATE

0.99+

EMCORGANIZATION

0.99+

LisaPERSON

0.99+

Three-letterQUANTITY

0.99+

this yearDATE

0.99+

AstecORGANIZATION

0.99+

both sidesQUANTITY

0.99+

StorReduceORGANIZATION

0.99+

two levelsQUANTITY

0.98+

1%QUANTITY

0.98+

two waysQUANTITY

0.98+

309 million dollarsQUANTITY

0.98+

three-wayQUANTITY

0.98+

first acquisitionQUANTITY

0.98+

greater than nine petabytesQUANTITY

0.98+

CUBEORGANIZATION

0.98+

Las Vegas Mandalay BayLOCATION

0.98+

second-halfQUANTITY

0.97+

six years agoDATE

0.97+

VM World Day OneEVENT

0.97+

VMWorld 2018EVENT

0.97+

one toolQUANTITY

0.97+

Pure StorageORGANIZATION

0.97+

VerticaORGANIZATION

0.97+

DelPERSON

0.97+

about four yearsQUANTITY

0.96+

first inningQUANTITY

0.96+

oneQUANTITY

0.96+

Q2DATE

0.96+

VMworld 2018EVENT

0.95+

almost 400 new customersQUANTITY

0.95+

VM WareTITLE

0.95+

30%QUANTITY

0.95+

a yearQUANTITY

0.95+

couple months agoDATE

0.95+

tenDATE

0.94+

ScottPERSON

0.94+

Peter Fitzgibbon, Rackspace & David Trigg, Dell EMC | VMworld 2018


 

[Narrator] Live from Las Vegas, it's theCUBE. Covering Vmworld 2018. Brought to you by VMware, and its ecosystem Partners. >> Welcome back to theCUBE. We are live at Vmworld 2018, Mandalay Bay in Las Vegas. I'm Lisa Martin with Dave Vellante, hey Dave. >> Hey Lisa, how's it going? >> Great, this morning started off with tremendous amount of momentum from Pat Gelsinger, including a new tattoo that he debuted. 20th anniversary of VMware, 20th anniversary of the Rackspace, DellEMC partnership, please welcome to theCUBE a veteran and alumni, Peter Fitzgibbon, the VP and GM of the VMware practice at Rackspace. Peter it's great to have you back. >> It's great to be back here at Vmworld. >> And we're excited to welcome David Trigg to theCUBE, the Global Vice President of Market Development and Service Providers from DellEMC, welcome. >> Thank you, glad to but be here. So happy 20th anniversary to Rackspace and DellEMC. >> Thank you. >> Longstanding partnership, what's going on? A lot of momentum at Dell Tech World just, what, four months ago? What's some of the momentum that you guys have seen in your joint customer space this summer? >> Yeah, so at Dell Technologies World we launched our Rackspace private cloud, R by VMware, our Everywhere edition, as we're referring to it, which is extending Rackspace private clouds into customer data centers and colos. And since that announcement back at Dell Technologies World, we've seen fantastic adoption from both our existing installed base that's interested, and knows the Rackspace brand, and our fanatical experience, as well as new customers that know now we can service them in new locations. >> And then David, for you, Dell Technologies World was all about IT transformation, digital transformation, security transformation, and making it real. How is DellEMC working with Rackspace to help customers make these transformations a successful reality? >> Yeah, well one of the fist things, in my opinion, to highlight is the length of time that we have worked together, and through that length of time, Rackspace has made incredible investments in their skill set, their ability to manage infrastructure, you know, there's a lot of a deep knowledge there, so customers can feel very confident about the ability to provide the services. And as customers go through transformation, customers have more choices now, and more things, as we talk about the edge, and the core, and the cloud, they have to manage infrastructure in more places than they've ever had to manage before. So we're very proud of the relationship that we've had, the investments that they've made, because our customers are needing help in managing through, not only the transformations, but all of the choices that they have to make on where's the best place to put an application? Where's the best place to put a workload, and how do they manage the migrations and the modernization? So yeah, it plays very, very close into our transformation message, and quite frankly, we couldn't do it without partners like Rackspace. >> Let's talk a little bit more about that, because you're talking about more than just a storage partnership, right? Is that, >> Oh, yeah. >> A lot more to its, it's much more comprehensive, >> Absolutely. >> Sets of integration, practices, and areas of expertise, so let's double click on that a little bit. >> Yeah, there's a lot of skill sets that are required to even just do assessments, where I'm really understanding where do the applications go. Really then making sure that they understand, how do you support the infrastructure? How do you monitor the infrastructure and how do you make sure that it's running a lot? And again, Rackspace has made a lot of investments, is one of the best in the world in being able to do a lot of this. >> Let's talk a little bit more about that. Why Rackspace? >> Well, we are offering customers strategic flexibility, really. Whether they want to deploy in a Rackspace data center, a customer data center, get access to our deep expertise, not just a DellEMC, but our 150 plus VMware certified experts that our customers can now tap into, because this world gets more and more complex. And you saw the evening announcements this morning. It was like, how do our customers get the best value from those technologies, and not simply have shelf ware? Tap into Rackspace, with our partnerships with DellEMC and VMware to get the real value out of that expensive technology. >> So from a customer's standpoint, help us understand what's really going on. We asked the question a lot this week, is things like the AWS VMware partnership, is it a one-way trip to the cloud, or is it boom for the data center? And a lot of people are saying the latter. What are customers saying? What do they really want to do? >> Listen, customers are going to be living their data center for a long time yet to come. We've got legacy applications, they've got mainframes, we got client server applications, and then we have direct cloud-native applications, but there's a slew of applications in the middle where customers are kind of unsure about where to go, and they lean on a trusted partner like Rackspace, who really is cloud agnostic to help them figure out should they go public cloud? Should they be private cloud? Or are they in a hybrid cloud journey like everybody is on? So we want to be the Switzerland, where we can help people determine where they should go, and really offer unbiased expertise. >> So you guys announced, kind of along the lines of being Switzerland, at Dell Technologies World, Rackspace Private Cloud Everywhere, powered by VMware, Everywhere. I know you've got, what, five data centers in five continents. Talk about that Everywhere. How does it help customers to embrace the reality of multi-cloud, and to actually do so in a way that allows them to understand, working with you guys, where different applications should be placed at different times in the year? >> Yeah so, Everywhere is a natural evolution of what we've offered in our own data centers over time. So now deploying out in customer data centers and colos, well later this year, we hope to launch a formal VMware on AWS software as well. So Everywhere constitutes three parts, really, Rackspace data centers, customer data centers, to get as close to their data as needs be, and VMware on AWS as our product matures, as you saw from a number of announcements this morning. >> And to add on to John's question about the promise of the cloud, I think the original promise, and maybe the threat of the cloud was everything was going at the cloud. Well as we're learning through IoT and other new, emerging trends, that's not realistic. Customers really have to think about the edge, their own data center, because their own data centers are not going away. They have to think about the SLAs that they're providing to their end users, to their employees, and that's where you have to place the application, the workload in the right place to enable the best customer experience for their customers and their employees. And that's were a company like Rackspace, that can really get to the edge, the core, the cloud, by managing that infrastructure regardless. Obviously, the investments that VMware's making to help enable that as well, and being supported by a lot of the DellEMC stuff. It's an exciting time, I think. >> I Want to follow up on that, because Peter, off camera said cloud migration doesn't mean leaving your data center. >> Absolutely. >> This Gartner analyst came out, not that recently, but I think it was last year, and said that 80% of data centers will shut down by 2025, so that caused a lot of, right? Both eye rolling and no way, and et cetera. The Wikibon crew, which is affiliated with theCUBE, a sister company, sister division, just came out with a report that said true private cloud is going to be a $32 billion market this year. So that means on-prem cloud. >> Yep. >> So you have all these countervailing messages going on. Then you see, of course, the epitome of Andy Jassy up on stage today with Pat Gelsinger talking about hybrid cloud. What do you guys make of all of this? What's really happening and going to happen? >> I think customer data centers are going to live for some time to come, as people figure out where should the workload actually go? What can they do with that specific workload? Can they refactor it and rebuild it and go cloud-native? Great. Can they move to a hosted private cloud model with Rackspace rolling racks into a customer data center? Or is it a legacy application that really needs to be kept and maintained over time until the next disruption happens, where they really have to refactor it? >> Yeah, really, in that case there may be no business case. Why lift in and shift it, for what? Just to say, >> Exactly, they get it. >> Hey I'm in the cloud. >> Exactly, I think with cloud migrations, does not mean leaving your data center. I think that's going to continue for some time, where people can get the benefits from Rackspace, moving from a CapEX to an OpEx model with managed services, with industry leading SLAs, but still in their own data center, because they have applications running that cannot be moved. >> Well it's interesting, David to see this equilibrium that's kind of being reached, you know? A few short years ago, there was sort of antagonism between VMware and the AWS. You know, the whole book seller comment. Andy Jassy was like, pfft, on-prem cloud, there's no such thing, and now you see those worlds coming together, underscoring the reality that you can't just shove your business into the public cloud. You can't just move all your data there, and there may not be a business case, or an advantage of doing that. >> Right, right. >> What do you think? >> Well a lot of times the answer to the question in the, one, I'm not an analyst, so it's not my job to really predict where it's going to go. I mean, obviously we watch trends and look where it's going. You know, my job and our job is to help customers deal with the realities that they're dealing with right now, right? And they have data centers. They are thinking about the cloud. They are having to take care of the edge, right? And in time, we've seen some of those shifts, right? There was a lot of the, where are we going with the cloud? Where's it going to go? Are they going to shut down all their data centers? Regardless of that, we will adjust to the market and make sure that we're adjusting the market. But more importantly, we're going to do what's right for our customers, to help enable them to those journeys, and it's still yet to be proven. There's a lot of Predictions out there. Will they shut down all data centers? I'm sure there'll be some consolidation of it, but yeah, it's getting more complex. >> Okay, so VMware, Rackspace, DellEMC, you're not screwed, check. (David laughs) what about the edge? Help us unpack that a little bit, you know, whether VMware at the edge, Rackspace, DellEMC, what do you guys see evolving there? >> I think there's many definitions of the edge, and when you talk about it, everything's IoT initially, but even just deploying smaller data centers in customer locations in partnerships with these guys, to kind of meet customers where they are, and get smaller, roll in racks into different locations is continuing to be something that customers are looking for. >> So there's the hinterland edge, which is a bunch of devices, you know IP cameras, they're going to be instrument, most of the data's going to stay there anyway, but then I think you guys call it, I don't know, the core. There's a aggregation point, >> Well the core, >> if you will. >> which is typically what we refer to as kind of the customer data center, and then there's the cloud, right? So kind of the two different, customer data center versus the cloud, and then, truly, the edge, capturing, And it started, and we referred to everything from laptops, phones, as well as, really a lot of the sensors that are going to be out there, and your ability to have to process and analyze and react real time at the edge. And so a lot of use cases, public safety use cases, where, you know, when an event happens, that connection back to a place where you would analyze it. Obviously the autonomous cars, right? They can't have to connect to a data center every time it wants to make a left turn. So a lot of that ability has to be pushed out to the edge, but yet, then also being able to bring that data back, be able to manage that, and be able to update those computers, or those data centers. I mean, an autonomous car is basically a mini data center. Someone's got to manage that, patch that, make sure it's running, and manage that. So yeah, to your point, the edge is beginning to mean a lot of different things. There are the hinterlands, I think was the word you used, and some of those things, but then there are the more traditional work cases, and even just running a phone app is now considered an app, versus, you know, and that's were people start to really look at, is how do you deliver that experience on a phone, and that's an application. >> A lot of data. Well, I like to follow the data, you know? A lot of data at the edge. There's a lot of data, like I say, at the aggregation point, and then if you want to do some hardcore modeling, go to the cloud, and that cloud can be your own, on-prem data center. >> Yeah. >> Right. >> Yeah, there's just so much data being generated, and data is power, I think was one of the key taglines of DellEMC Worlds. And I was like, it truly is. Where the data is, is where the power is. So some has to be transferred back to the core. Some may be pushed up to the cloud for deep processing with AI and ML type processing, but there'll be data at all these different points. >> Well that's the other point, is it's just like the innovation engine no longer is Moore's Law in this industry. it's the data, applying machine intelligence, and then cloud scale. And then, you got to, as suppliers in this business, you better be playing in some way, shape, or form, in all three of those, right? >> Absolutely. >> So how, and speaking of that, I think Pat Gelsinger talked about it this morning in the context of superpowers. He talked about autonomous vehicles, AI machine learning, advanced analytics, IoT. How is DellEMC and their technology, Peter, helping to enable Rackspace to optimize your offerings to be able to take advantage of machine learning AI? To be able to deliver on customer expectations? >> Yeah, we're deeply partnered with these guys from those announcements you head earlier this year, that we're already investigating the different capabilities they're having from an AIML perspective, and really seeing what sort of technologies are they launching that we can then put into our private cloud practice, and offer to our customers. So it's our deep partnership allows us to kind of get a front seat at that and working closely to investigate and to do a lot of R&D with the new capabilities they're coming out with so. >> What superpower does that give Rackspace? In terms of differentiation? >> Uh, you've stumped me on that one. (laughs) >> Well customers have, we talked about, everybody wants flexibility. They also have choice. >> Yeah. >> What are some things that this 20 year partnership infuses into Rackspace to give you those differentiation points? >> Yeah, it's the deep partnership, and knowing, working so long together that we know who to pick up the phone to solve some of these complex problems. >> Yeah, and of us, from my perspective, we always start with out joint customers in mind first. So it's our job to bring the advance technologies, the advanced capabilities that we're making big investments in, and make sure that Rackspace is able to support and leverage those within their business so that we'd provide a better experience for the end customer, but then also making sure that we show Rackspace how they make money on that, and how they can run a business on that, that's really, is differentiated to your point. Because a lot of, you know, you painted a very pretty vision of what the world might look like. Most customers aren't there yet. Most customers aren't taking advantage of AI and deep learning. They're still dealing with some very traditional legacy issues, and it's that gap that becomes very, we love talking about the cool, new, exciting stuff, but for a lot of customers, they're stuck somewhere in the middle, and that's were partnerships like this, because you can not only help them with the legacy, old stuff. How do you migrate, and then how do you take advantage of the really new stuff? Or how do start at least thinking about that and exploring that and looking. A lot of the original IoT use cases, the ROI wasn't known. They're setting up projects, then they hoped they'd get a benefit out of it, right? And that's continuing to emerge and evolve as time goes on. >> Well it's hard, too. I mean, everybody's afraid of getting Uberized and disrupted, et cetera, et cetera, but they, at the same time, if you over rotate, to a new, you can spend bunch of money and not get any return. >> Yeah. >> Everybody's trying to get digital right, it seems, but it's unclear what that means. So they look to partners like you to help them figure that out. >> Well, it's a scary journey to your point, because they obviously have existing revenue streams. It's the inventor's dilemma, right? It's they have existing revenue streams, but how do they digitize their business? How do they reach customers in a different way? And so they don't become Uberized or Airbnbed, or whatever, what term you want to use. Every CIO, every executive is thinking about that. IT for a long time was about taking cost out of the business which, after a while, that's no fun, because that usually means head count reductions, that usually, I mean, that's not a fun conversation to have every single day. Now with the digital transformations mode, how do you generate new revenue streams? How do you, in a way, a lot of companies never, one of the most older industries, being taxis, a little bit not that exciting. It's gotten reinvigorated through some of these things. So it's kind of cool. >> Yeah, and you said digital transformation, right? What does that really mean? Cloud transformation, security transformation, app transformation, so there's many different factors. And companies like Rackspace can offer expertise in all those different areas, where some of our competitors may only hit on one of those. They're only a security company, or only a VMware shop, or only an AWS shop. >> Helping customers really glean the power from that data, because if they can't, it's not powerful. Gentlemen, thank you so much for stopping by theCUBE and talking with Dave and me. We appreciate hearing what's going on with Rackspace and DellEMC. >> Thanks guys. >> Thank you so much, I appreciate it. >> Thanks very much. I appreciate the time. >> Thank you. >> We want to thank you for watching theCUBE. For Dave Vellante, I am Lisa Martin. We're at VMworld day one. Stick around, we'll be back after break. (upbeat electronic music)

Published Date : Aug 27 2018

SUMMARY :

Brought to you by VMware, Welcome back to theCUBE. Peter it's great to have you back. to welcome David Trigg to Rackspace and DellEMC. and knows the Rackspace brand, to help customers make about the ability to provide the services. on that a little bit. in being able to do a lot of this. bit more about that. to get the real value And a lot of people are saying the latter. to be living their data center and to actually do so to get as close to their data as needs be, that can really get to the I Want to follow up is going to be a $32 and going to happen? Can they move to a hosted Just to say, I think that's going to that you can't just shove your business Are they going to shut down the edge, Rackspace, DellEMC, is continuing to be something that most of the data's going the edge is beginning to Well, I like to follow the data, you know? So some has to be Well that's the other to be able to take advantage and offer to our customers. me on that one. Well customers have, we talked about, the phone to solve some So it's our job to bring at the same time, if you So they look to partners like you journey to your point, Yeah, and you said digital glean the power from that data, Thank you so much, I appreciate the time. We want to thank you

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Dave VellantePERSON

0.99+

Lisa MartinPERSON

0.99+

PeterPERSON

0.99+

David TriggPERSON

0.99+

JohnPERSON

0.99+

Peter FitzgibbonPERSON

0.99+

AWSORGANIZATION

0.99+

DavidPERSON

0.99+

Pat GelsingerPERSON

0.99+

Andy JassyPERSON

0.99+

$32 billionQUANTITY

0.99+

DavePERSON

0.99+

80%QUANTITY

0.99+

VMwareORGANIZATION

0.99+

RackspaceORGANIZATION

0.99+

last yearDATE

0.99+

20 yearQUANTITY

0.99+

DellEMCORGANIZATION

0.99+

2025DATE

0.99+

LisaPERSON

0.99+

Las VegasLOCATION

0.99+

Mandalay BayLOCATION

0.99+

five continentsQUANTITY

0.99+

twoQUANTITY

0.99+

WikibonORGANIZATION

0.99+

four months agoDATE

0.99+

SwitzerlandLOCATION

0.99+

this weekDATE

0.99+

Dell Technologies WorldORGANIZATION

0.99+

Dell EMCORGANIZATION

0.99+

BothQUANTITY

0.99+

GartnerORGANIZATION

0.98+

150 plusQUANTITY

0.98+

this yearDATE

0.98+

five data centersQUANTITY

0.97+

theCUBEORGANIZATION

0.97+

todayDATE

0.97+

bothQUANTITY

0.96+

oneQUANTITY

0.96+

20th anniversaryQUANTITY

0.96+

Jed Ayres, Igel | CUBEConversation, August 2018


 

(intense orchestral music) >> Welcome back everybody, Jeff Frick here with theCUBE, we're in our Palo Alto studio havin' a CUBEConversation, we're getting ready for the madness of the fall conference season to hit us full force, so we're excited to have things a little bit quiet this week and have a special guest, he's Jed Ayres, he is the North American CEO, and the Global CMO for IGEL, great to see you. >> Well, great to be here, thanks for inviting me, I know a lot of luminaries in the tech industry have sat in this chair so, >> That's right. >> It's an honor to have a chance to chat with you today. >> Well thank you, I appreciate that. So give a, for the people that aren't familiar with IGEL, give us kind of the IGEL 101. >> Yeah, so I wasn't actually that familiar with IGEL two years ago, and I've spent, you know over a decade in the end user compute space, so they were a little bit of a mystery I think to most people in the US; however, the companies been around for over 20 years, they're actually the number one Thin Client player in Germany since 2006. So what they really specialize in is a Linux, read-only operating system, that's fused to a management console that just really works for these cloud delivered desktops and applications, right? And so, a little bit shrouded in sort of this world of Thin Client hardware, but the company is really a software company. And so, the opportunity for me was to really help them build their US operation, but probably more importantly, put the right sort of US marketing prowess and kind of English first, we got out and kind of re-wrote their marketing playbook, and we really have exposed the IP of this beautiful, light, Linux OS, and the management tool which you know couldn't have been at a better time in terms of what's happening in the industry. >> So just to call those three things out specifically, so it's a light OS, that's Linux based, for x86 devices, >> Exactly. >> And so you're workin' with Citrix and VMware, and a lot of those platforms. >> I mean there's 17 different protocols that it works with out of the box, so, really when you think about you know Microsoft RDP, Parallels, Ericom, some of the, some things that you know, back in the history of end user compute, we still, out of the box, are synced up with those technologies. But the primary ones today are Citrix, and VMware, and Microsoft, and yeah we'll soon be doing some things with Amazon as well workin' with them to be their first Linux client for workspaces, so. >> So, we talked a little bit before we turned the cameras on, you know the bring your own device thing, we saw it first in mobile phones in a big, big way, you know people are bringing their laptops and all kinds of interesting stuff. At the same time you've got kind of this cloud move with the centralized control, and you don't have all this kind of rogue stuff, and you know some of the clouds like I don't have the right excel spreadsheet on this laptop, it's on my home desktop. So you guys are kind of riding that wave, but enabling a really interesting play on it, you enable a BYOD, but you actually have an opportunity to basically supplant that, overlay, I don't know what's the right verb, to enable a secure, lightweight, centralized control. >> Yeah, so there's really three ways to get this operating system, right? You can get it on the traditional hardware form factors that you find for most Thin Clients, right, we've got kind of a entry level, mid, high-level all in one. And then we have the ability to convert a device, so we would actually wipe the entire operating system off the device, and just, you'll have a last boot to the IGEL OS. But then, really what, two years ago we came out with this, and this is what we call the UD Pocket, it's about the size of your thumbnail, it's a hardened USB read-only stick, it has the same OS that the hardware has and the converter software has, it's just a bootable, right? So I could plug this into that laptop you have there, and you would boot to a secure Linux operating system, and we'd point it to whatever cloud delivery service that you're, you know, theCUBE was using, so if it was Citrix or VMware, so. Yeah, this has opened up a lot of new use cases, it's sort of changed how people think about Thin Clients too right, you sort of think Thin Client, kiosk task worker, not necessarily the CEO of a company or a knowledge worker, or a physician running an emergency room might want to have their own device, same device they use at home. So yeah, this has opened up a lot of interesting use cases: contractors, interns, we even see it being used for people in environments, in hospitals, where they keep a stash of these, for high availability, I guess ransomware. Right, you've seen these hospitals basically being attacked, what they would do is go and put these in, boot to a secondary epic or server environment, and you know this is kind of their way of not knowing which device is infected, they can just easily bypass that device, boot to this read-only operating system. >> It's a real game changer in terms of opening up >> It really is. >> Not only, not only, removing all the vulnerabilities that come with with kind of a classic laptop situation, but even giving the things new life, right, enabling them to kind of be reborn, really as a Thin, or excuse me as a light client. >> Yeah, we see three reasons why people are are buying IGEL today. And it's fun for me 'cause I get go out you know talk to a lot of customers and partners, you know we're 100% partner oriented organization, which is fun for me since I spent 20 years as a partner. But what's been really fun is that it's a C-level conversation, you wouldn't think Thin Client, I can go talk to a CEO or a CFO or a CIO, but this is a game changer. And it's really three things, right, we can save people money, which people like that, right, when you can save a company from having to go purchase 5000 new endpoints; we just had a hospital in Texas, they were about to buy 5000 new endpoints, that's about five million dollars, right? We walked in and sold them 5000 convertor licenses, for about a half a million dollars, so they saved four and a half million dollars in not having to buy new hardware. And then, you know the second piece is the operational headcount savings. When you think about managing Windows today, it's you know maybe great organizations one person can do 500 devices maybe; if you're lucky and you really have all the right tools. With IGEL we have numbers like one person managing 30000 devices, in retail, you know places where you don't have a lot of smart hands. And then the third reason why, you know we can talk to a lot of CSOs now too, right, as people are gravitating towards Linux, because of the challenges with Windows, and managing Windows, and securing windows. And Linux, when I first started people said kind of don't talk about Linux, you know, it's maybe kind of a bad word and people get you know scared. Today we walk in and we lead with this is a very mature Linux operating system, and we have a fantastic security roadmap... >> And 20 years of history, right? So you've got institutional, a foundation that you can build off of. It's funny on the Linux thing right, 'cause I'm sure they said the same thing when they wanted to roll Linux into the data centers back in the day. >> Exactly. (Jeff laughs) Yeah, this is the year where we believe, and IDC is tracking this pretty closely, that this is the year where on the endpoints of this Thin Client, you're going to see Windows is going to be surpassed by Linux; and that tracker that IDC does doesn't even track the ones that are being repurposed, right, where Linux is going in because it's going in on old hardware. So just on the new hardware it's going to be about 40% Linux and 40% Windows, and then there's you know some other you know operating systems out there, but. Yeah, this is, this is an exciting time to be in this space, right? We look at the challenges of managing Windows 10, we look at the security issues of GDPR, you know and people are just really gravitating towards towards this idea of a Linux OS. >> Right. It's funny, it's not, not directly related, but corollary, you know as Google really pushes Chromebooks as part of their enterprise play as a much more secure platform with central control, and in fact I think Diane mentioned at the Google Cloud show that we use like 37 different basically online applications to get work done these days, whether you're in your Salesforce application, or Marketo, or Gmail Suite, or you know. So we're all basically browser based application delivery, so it really does open up this opportunity for the incline 'cause you don't really need that much function, >> Exactly. >> But you know it's serving up that central HTTP. >> I talk to people all the time who have fancy, thousands of dollar laptops, and their like, all they do is hit a browser, right? And the reality is, is that's where we're going right, it's a pane of glass accessing data somewhere else, an application somewhere else right? But the underlying operating system still needs to be secured. If you look at sort of the priorities of CIOs today, endpoint--securities number one right, and inside of that it's typically endpoint security, as you know the most important piece of it right? And so that's really where IGEL is having a wonderful time taking tremendous market share, you know we've moved, in just the time that I've been in the US, from seven to three, just in the sort of hardware part of it. And we're just having a lot of fun growing an organization that's, you know and you're growin' in triple digits, it's kind of a Cinderella moment for your career, right, so. >> Plus different kind of challenges. (laughs) >> Exactly. Exactly. >> So is there a particular vertical, is there a particular kind of business group within the companies that you guys use as a point of entry? Or, I mean how do you, what's kind of your go-to-market, >> Yeah, so there's some very specific-- >> 'cause it's a huge opportunity right. >> Yeah, very specific verticals where we're having great success in: hospitals are number one, we've sold to 143 hospitals in the US, if you can believe that, and we're in pretty, and that was just last year. >> 140? Just in a typical, typical, average, whatever metric you want to use, is how many OS's going into a hospital? >> I mean, last quarter we sold about 10000 into one hospital, you know it's usually anywhere from 2500 to 5000, 10000. And then you know these hospitals are all merging with each other, that's another value of IGEL is that they're all kind of combing, and as they combine, IGEL can take all this heterogeneous hardware, heterogeneous operating systems, homogenize it, make it easy to manage and secure. >> Putting it all back in the same spot. >> So yeah, it's definitely healthcare, healthcare's number one, but we're also doing very well in retail, very well in finance, kind of banks, really well in higher education; and like I said, we're getting to talk to at the C-level, right, they really love the savings, right? Not only are the saving on the hardware, but they can get rid of antivirus, disk encryption, they can redeploy people to do things other than patching devices. We have some brilliant things in terms of the technology; you mentioned we have the IP of 20 years, the three guys who wrote the code at the very beginning of the 20 years ago actually they were with an IGEL version before the current iteration. So literally in the end of the '90s they were, idea was let's build an operating system for the internet, which you know they may have been a bit ahead of their time in 1999, but those three guys are actually still in the building. There's a hundred engineers in Germany that are sort of iterating on this and solving for this problem, and I think they've, you know now with the US operation and the new marketing, we're kind of, it's just a perfect storm I would say. >> And then with 5G and again the increasing importance of cloud-based applications, whether it be Salesforce, or whether it be, whatever that's delivered through Amazon, I mean you guys are in a very good spot. >> Yeah, and it's, I would tell you it's not just about, you know it's this operating system fused to a management console, but then it's sort of the curation of that, right? Like okay, every 12 weeks I'm going to push you a new OS, and I have an elegant way to get that to 10's of thousands of devices. So we're also starting to see managed service providers, right, the guys that are under contract to manage millions of devices. You know the DxEs and Wipros and IBM Global Services, those guys are starting to really look at IGEL also, right, 'cause, for the same reasons the enterprises who are managing large environments; so that's been an exciting part of our growth as well. >> Yeah, and that's another huge validation point, 'cause those guys don't make small bets, they only make big bets. >> Exactly and market's sort of hardened into their architecture, which is great. >> Alright, Jed, well it sounds like a great story, and we look forward to watching it unfold over the next couple years. >> Yeah! Well hopefully, for those of the people who are out watchin' we'd love to have them come by; we're doing an event in Las Vegas inside the Mandalay Bay, at VMworld, we actually have our own event, rightfully called disrupt. And we're going to be there from the 26th to the 29th, and-- >> What venue? >> In the Border Grill, so we actually taken over this restaurant, that's kind of like right you know in the footpath of-- >> In the hallway, right? >> In the hallway yeah. >> That's the inside, I know exactly where that is. >> So yeah, we're actually takin' a page out of your book, we're going to have a little EUC TV, so we'll be interviewing people about you know what they're doing to solve for their end user compute challenges, and talkin' to the ecosystem; we have an innovation theater in the Border Grill, we're going to throw a pool party at the end, out at one of those beautiful pools that no one ever gets to go to in Vegas. (both laugh) >> We look at it though as we walk just past the Border Grill, you can find a long beautiful look at that pool. >> So we're going to try to take advantage of it, although it'll be a bit hot out there, yeah it's a hundred plus degrees in Vegas this time of year, but we're going to have some fun. You know, you got to do that a little bit, work hard, play hard. >> Alright, we'll see ya in Vegas in a couple weeks! >> Yep! Look forward to it. >> Thanks for stopping by. >> Thanks very much. >> Alright he's Jed, I'm Jeff, you're watchin' the CUBEConversation from our Palo Alto studios, thanks for watchin', I'll see ya next time. (intense orchestral music)

Published Date : Aug 16 2018

SUMMARY :

and the Global CMO for IGEL, great to see you. to have a chance to chat with you today. So give a, for the people that aren't familiar with IGEL, you know over a decade in the end user compute space, Citrix and VMware, and a lot of those platforms. really when you think about you know Microsoft RDP, and you know some of the clouds like and you know this is kind of their way of but even giving the things new life, right, And then, you know the second piece a foundation that you can build off of. and then there's you know some other you know as Google really pushes Chromebooks But you know it's as you know the most important piece of it right? Plus different kind of challenges. Exactly. if you can believe that, And then you know these hospitals are which you know they may have been I mean you guys are in a very good spot. you know it's this operating system Yeah, and that's another huge validation point, Exactly and market's sort of and we look forward to watching it unfold And we're going to be there from the 26th to the 29th, you know what they're doing to solve for their you can find a long beautiful look at that pool. You know, you got to do that a little bit, Look forward to it. you're watchin' the CUBEConversation

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Jeff FrickPERSON

0.99+

1999DATE

0.99+

Jed AyresPERSON

0.99+

GermanyLOCATION

0.99+

VegasLOCATION

0.99+

Las VegasLOCATION

0.99+

20 yearsQUANTITY

0.99+

JedPERSON

0.99+

500 devicesQUANTITY

0.99+

30000 devicesQUANTITY

0.99+

100%QUANTITY

0.99+

Mandalay BayLOCATION

0.99+

August 2018DATE

0.99+

AmazonORGANIZATION

0.99+

JeffPERSON

0.99+

second pieceQUANTITY

0.99+

USLOCATION

0.99+

MicrosoftORGANIZATION

0.99+

three guysQUANTITY

0.99+

TexasLOCATION

0.99+

17 different protocolsQUANTITY

0.99+

Palo AltoLOCATION

0.99+

Windows 10TITLE

0.99+

last yearDATE

0.99+

WindowsTITLE

0.99+

last quarterDATE

0.99+

three thingsQUANTITY

0.99+

IBM Global ServicesORGANIZATION

0.99+

DianePERSON

0.99+

143 hospitalsQUANTITY

0.99+

40%QUANTITY

0.99+

LinuxTITLE

0.99+

GoogleORGANIZATION

0.99+

IgelPERSON

0.99+

four and a half million dollarsQUANTITY

0.99+

5000 new endpointsQUANTITY

0.99+

firstQUANTITY

0.99+

threeQUANTITY

0.99+

WiprosORGANIZATION

0.99+

Gmail SuiteTITLE

0.99+

over 20 yearsQUANTITY

0.99+

about five million dollarsQUANTITY

0.99+

2006DATE

0.99+

10000QUANTITY

0.98+

sevenQUANTITY

0.98+

DxEsORGANIZATION

0.98+

20 years agoDATE

0.98+

third reasonQUANTITY

0.98+

one personQUANTITY

0.98+

three waysQUANTITY

0.98+

about a half a million dollarsQUANTITY

0.98+

IGELORGANIZATION

0.98+

IDCORGANIZATION

0.98+

three reasonsQUANTITY

0.98+

GDPRTITLE

0.98+

one hospitalQUANTITY

0.97+

TodayDATE

0.97+

2500QUANTITY

0.97+

bothQUANTITY

0.97+

two years agoDATE

0.97+

5000QUANTITY

0.97+

todayDATE

0.97+

Hartej Sawhney, Hosho.io & Pink Sky Capital | IBM Think 2018


 

live from Las Vegas it's the cube covering IBM think 2018 brought to you by IBM hello everyone welcome back to the cube coverage here at IBM think 2018 in Las Vegas Nevada the Mandalay Bay it's a cubes exclusive covers three days of wall-to-wall interviews thought leaders experts entrepreneurs people making an impact and our next guest artists ani who's the co-founder of hosh io h OS h o de Ojo kayo advisor at the pink sky capital he's a cube alumni a walk in off the streets cuz he lives in Las Vegas but very instrumentals are connected to this community because of his pioneering work in in crypto blockchain and the future of money architects great to see you thanks for coming by thank you for having me it's good to be back on the cube great second time and second time yeah only couple we just saw each other the Bahamas the first security token conference yeah I bike on I I be on IBM's really big on supply chain this is their visitor old school you know generations of providing software for businesses b2b and now blockchains their big thing but blockchains yeah pretty straightforward yeah you know you get efficiencies but they're not talking about token economics because they talk about something execs here they're like well that implies the general public in their world thinks cryptocurrency they think Bitcoin so I want to connect the networks together our network IBM's network your network because the melting pot of this trend is really about blockchain cryptocurrency in the sense of the value around tokens and how tokens can be harnessed to capture the values I want to get your perspective as these worlds collide so I think that IBM is doing a great job by spearheading a blockchain movement and they're very they're focusing on the fortune 500 and the key with Fortune 500 companies right now is that they have rooms full of Java developers Java engineers and aetherium is the protocol right now that is most commonly found the majority of icos and token generation events that have occurred to date have all been on etherium x' network and etherium is the most and they found in blockchain however the etherium blockchain the language to build and launch token generation events on aetherium you have to write in a language called solidity and solidity is a new language and iBM has made a smart move by doing everything in Java and JavaScript similar to a lot of the new block chains that are aiming to compete with aetherium and the key distinction just to kind of put it out there when I get your reaction to and get some commentary around is IBM is not competing with public block chains they're looking at a in a different way they're saying hey you know you can have I guess private blockchains I mean it's not a really a dirty word they because they have a different use case correct I think it's very important especially when it comes to things like healthcare you look at the health care industry healthcare records will not be going on public block chains and so the hyper ledger fabric framework may make sense for things that need to be HIPAA compliant for example so reliability is key so what's their jannat like say hashed crafts got a lot of traction in their performance and their speed they got time stamps that's not a native blockchain yet that's kind of getting some traction IBM's got something similar for those markets that require the reliability the performance and the security so help the audience understand IBM's moves here because IBM's conservative so they don't really want to throw the word cryptocurrency out there because it might be misunderstood but this is gonna end up in token economics how are you explaining what the moves ibm's making to the average person that might not know the inside nuances in baseball for say the crypto market I think what's interesting is that iBM has a more mature focus on this space and you know they have direct ties historically to the fortune 500 companies the way others do not and so they've taken a much more sophisticated and a much much more conservative approach you don't see IBM throwing around the word cryptocurrency and that's a smart move because it's about the cryptography that secures block chains in a decentralized ecosystem and it's that the discussion of just tokens and token sales and leveraging tokens as a currency it's a premature time in this entire industry to be having that discussion so although it's going on it's a distraction for IBM you saying yeah because we but it's more interesting for smart contracts to be written that our functional smart contracts that for the first time ever white collared middlemen are being cut out of the picture in a new trustless decentralized ecosystem so talk about where IBM could take this with token economists obviously do you think that it's all leads to some sort of tokenization is that gonna be where the value capture is gonna be how does IBM get there in your mind I think they get there by having fortune 500 companies launch legitimate decentralized applications on their blockchain and that's just what Java JavaScript it's because most fortune 500 companies already have a plethora of Engineers globally that they can simply have start working on IBM's blockchain whereas you don't see that as a risk for IBM no that's that's IBM's advantage because today if the fortune 500 companies aren't building on aetherium whose blockchain mainly because of the learning curve it takes for a current full stack engineer to become a solidity engineer what's the etherium future now obviously they have they're working on lightning seeing some things going on that area the Lightning is Bitcoin is plasma yeah plasma sorry I got them confused so they got to go through the work this and some real work that's got to get done the theory of childs a big developer community the biggest the biggest so do those merge with the IBM communities downstream at some point or is it okay to be separate and does it matter I think they'll remain separate and in this case I I highly doubt that a theory IBM hyper ledger will go down the route that route stock has gone root stock essentially is the etherium virtual machine sidechain to the Bitcoin blockchain enabling smart contracts on the Bitcoin blockchain for the first time and rootstock is a very interesting project however IBM is its own ecosystem and the way in which they're catering to the fortune 500 is extremely intriguing and from Hojo's perspective we want to be auditing smart contracts that are functional that are written by more sophisticated players in the industry centralized ecosystem our main focus is just security auditing and there's gonna be a lot more smart contracts written by more sophisticated players on IBM's blockchain then possibly the other ones right now we have we have not seen a plethora of Fortune 500 companies by any means launching smart contracts on the theorems blockchain and blue chips banks or whatever as they try to disrupt themselves need to get us to partner governments okay so how about for a minute I just take a second to talk about your business I know we covered this at polycon and the Bahamas but for the sake of the context to IBM yeah talk about what you guys are doing we're specifically in the marketplace of partners would you sit if you were parting with IBM and and your role that you could possibly take with IBM so to take a step back quick host show the word itself hosho and means security in japanese and we started this company eight months ago my co-founder yo Kwon and I and our laser focus is blockchain security and being the global leader within the blockchain security space so as far as we see there's new blockchains being made new protocol tokens being launched as well as new tokens being launched as well as do smart contracts being written that are functional for the entire business and no matter what blockchain a smart contract is written on that smart contract is code that has been written and that code has to be audited by a professional third party and we are that professional third party that there's a line-by-line code review of the smart contract and finds all security vulnerabilities and we've been building proprietary tooling to find vulnerabilities faster and faster and faster we do a gas analysis to make sure that that blockchain is not being clogged we conduct the static analysis to find any hidden functionality within the framework of the smart contract and the last part which is very crucial is that yeah very uniquely qualified full stack engineer with a unique QA mindset and a security background who knows the language in which this is coded which currently most projects that were auditing our aetherium ERC 20 tokens written in solidity someone has to marry the source of truth which in the case of an ICO is a white paper and marry the white paper to the smart contract and make sure is the smart contract doing what the white paper says codify the white paper basically this process of auditing is gonna be ever more crucial within the the business that IBM does with Fortune 500 businesses because when a publicly traded company launches a smart contract for a decentralized application security is the highest priority and abilities is where the hackers could come in just be on a time to market getting those smart contract codes written it was fully baked it's irreversible once the smart contract is launched and millions of dollars are gonna go through this smart contract it's been regular practice in the cybersecurity world to type up code and to have it reviewed by a third party auditor we're simply applying the exact same logic to the blockchain space and it's exciting to see more blockchains by sophisticated players like IBM come to fruition and we're looking forward to actual projects from big players around the world launch on IBM's blockchain and hosho is looking to be a preferred partner of IBM's to do all their security work whether it's smart contract auditing or penetration testing and real quick on penetration testing that's our other core service that we provide and penetration testing is both for websites and for crypto currency exchanges in which we're making sure there's no security vulnerabilities within your website and finding every way possible to penetrate your website or your exchange and every time code is changed you open up the doors to more vulnerabilities and so in the crypto currency exchange space right now we're seeing that new exchanges are being made but sophisticated investors don't know if this is a safe place to trade hundreds of millions of dollars or not yeah and so when you got commerce being John I mean IBM as folk as you mentioned is legit and they're doing a great job by the way props to IBM for doing what they're doing they've been in for multiple years now and they're supporting the Apache project they're putting their their weight behind it but these are real-world examples granted supply chain might be boring to some audiences but not to others I mean you're moving real product around this is commerce with digital fingerprints and code and potentially tokens that's a highly gonna accelerate the payment process I mean the notion of clearing goes away it's instant yes this is a highly accelerated money transfer value capture value Tran for environment you can't take me chances yes and security is primal concern and we're excited that companies like IBM value security and this space is one that the dust has yet to settle and what's gonna help the dust settle within the blockchain ecosystem is more priority on security so what's your take if you are gonna give a talk here we're doing talking here in the cube so it's awesome it's gonna be alive and on-demand as well your advice to people saying you know we got a tokenizer our business I need to start with blockchain I can see some areas to create some efficiencies around some inefficient processes and create new business models I got to get started your thoughts my thoughts are take a step back and first evaluate do you have a business what problem are you solving once your business is actually generating some revenue and you've evaluated why the concept of a blockchain could be interesting for your business then pick a blockchain and stick to it and then when you start building on that block chain you've figured out that a token could actually be leveraged within this decentralized application that you're building then you can start figuring out what the token economics of it would actually be I think what people are doing nowadays is rushing to create a token because of their excitement about the fundraising mechanism that an ICO is and an ICO is democratizing to some extent at least global capital raising and I think that fundraising mechanism is not going anywhere that that fundraising mechanism is here to stay however the majority of ICO projects that we're seeing occurring today I don't think these companies will be around in the next couple of years which shows how immature to some extent the industry actually is whereas maybe the projects that are built and launched on IBM's block chains that they develop maybe they're more sophisticated and will be companies that have gone through a more rigorous process of making sure security was a primary concern and they wrote quality code for quality businesses that are actually leveraging decentralization in the appropriate way not the other way around of we want to raise capital so let's invent a reason to have a token or you have a big case right now in Silicon Valley at least is you have companies that are very serious a and B and decided let's do an icy overseer you see and that that's tricky it's not always the right solution when you're saying is don't confuse the ico crazy fundraising arbitrage and new new model to applying supply chain tokens and blockchain to a durable business agreed and on the same token we have people in the space whether they're investors they're lawyers PR firms exchanges they all need to mitigate their risk by keeping security as a concern for them both in-house and for the companies that they're working with yeah lawyers don't want to be doing lawyer work for a company that will turn out to be a scam coin and someone has to do a security audit of that token the same goes for a PR firm a marketer and in exchange exchanges should not be listing tokens that have not gone through a smart contract audit well it's good to know we got a cube alumni here in the cube to help us with our security audit yeah well the answers the life were in a cube interview so do we got one right here I want to just get into in topic you and I were talking of dinner the other night when we had we saw each other a few nights ago about the problem of picks and shovels and tools and maturity in this new emerging area can you um can you just take a minute to explain what that we were talking about there and I thought you had a good point I mean maturity of the space is not mature it's growing it's embryonic but moving fast and there's need for tools let's unpack that just share your thoughts vision so I think that a lot of people have been more excited to join in an IC o---- a token generation event and do more quick money grabs but to me what's more exciting is the infrastructure that's needed for this industry to actually grow and mature an infrastructure is infamously known as picks and shovels because when the gold rush happened the people who made the real money or the people selling the shovels to the gold diggers and what's included in that is businesses like our own hosho which is selling security audits of smart contracts doing penetration testing bringing maturity and making making things less risky for for everybody in this space so we start we see ourselves as selling picks and shovels on the other hand I'll give you an example Goldman Sachs has a trading desk today it's not 24/7 stock market Oh at 9:00 closes at 5:00 what happens tomorrow when a 24/7 crypto currency trading desk is turned on at Goldman Sachs do the traders that are now 24/7 have the appropriate tools and the governance built into software to manage a team of 24/7 traders at Goldman Sachs today when you have traders trading in the stock market they have a plethora of tools that make them snipers and you have certified market technicians telling hedge funds that this isn't gonna go up two points here in three points they're reading candlesticks in the cryptocurrency space it's like poking a stick you go from being a sniper to having a stick find by Wars like a blind man so companies there's a dozen companies that can be made building the infrastructure for just what I just said the governance with four trading floors this is a really good point and I wanted to bring it up because in these emerging markets these white spaces for tools and technology to help the overall trend grow faster has always been a successful man however you mentioned something about the goldman sachs trading this and that is it literally could be turned down overnight right so that's the problem you can accelerate things too fast and not be prepared that seems Oldman honest I'd know Goldman's done a great job at being very much forward-thinking they've been at every money 20/20 since the beginning of that FinTech conference and they're definitely in this pickle this exercise the analogy is a company can turn on a new model fairly quickly faster than the old days which we're taking months and then now you can do it really on a much shorter timeframe that means they potentially could be exposed if they go too fast yeah this is where the ecosystem has to help yeah I think the bulge bracket banks are treading the water very carefully JPMorgan is doing things they're involved with aetherium Z cash - JPMorgan has a lot going on on this front but these are publicly traded monster banks they're not going to take any risks these are they have a they have stockholders to to answer to they have the US government we have over 150 regulatory arms just regulating the finance industry in the United States and so I think it the American citizen citizen is quick to point fingers to bulge bracket banks and those banks are answering to too many regulatory arms this is one of the downsides of the United States right now in general is the increasingly coercive environment of the government ybm certainly got the blue chip company got the the fortune 500 but they also have a marketplace and that's where they could really kind of change the game feeling in those white spaces yeah IBM's marketplace sounds very exciting and my mind just goes to who's handling the security for everything to do with IBM blockchain we're hoping at Osho arch edge thanks for joining us thanks for sharing your your insight here in the queue with an IBM think conference breaking down all the top news that's really around blockchain at AI would date at the sin of the value proposition all being disrupted by new decentralized technologies blockchain being the beginning and a lot more is happening and certainly we're in and bring it to you on the cube no matter where it is will be there I'm John furrow here and Las Vegas for IBM think coverage we'll be back with more coverage after this short break [Music]

Published Date : Mar 23 2018

**Summary and Sentiment Analysis are not been shown because of improper transcript**

ENTITIES

EntityCategoryConfidence
Goldman SachsORGANIZATION

0.99+

Goldman SachsORGANIZATION

0.99+

Goldman SachsORGANIZATION

0.99+

IBMORGANIZATION

0.99+

JPMorganORGANIZATION

0.99+

Las VegasLOCATION

0.99+

United StatesLOCATION

0.99+

Silicon ValleyLOCATION

0.99+

hundreds of millions of dollarsQUANTITY

0.99+

JavaTITLE

0.99+

John furrowPERSON

0.99+

two pointsQUANTITY

0.99+

eight months agoDATE

0.99+

second timeQUANTITY

0.99+

todayDATE

0.99+

tomorrowDATE

0.99+

three pointsQUANTITY

0.99+

millions of dollarsQUANTITY

0.99+

Hartej SawhneyPERSON

0.99+

Pink Sky CapitalORGANIZATION

0.98+

second timeQUANTITY

0.98+

first timeQUANTITY

0.98+

HIPAATITLE

0.98+

Mandalay BayLOCATION

0.98+

first timeQUANTITY

0.97+

bothQUANTITY

0.96+

JohnPERSON

0.96+

9:00DATE

0.96+

aniPERSON

0.96+

over 150 regulatory armsQUANTITY

0.95+

US governmentORGANIZATION

0.94+

JavaScriptTITLE

0.93+

goldmanORGANIZATION

0.93+

firstQUANTITY

0.93+

5:00DATE

0.93+

AmericanOTHER

0.92+

KwonPERSON

0.9+

ApacheORGANIZATION

0.89+

ibmORGANIZATION

0.89+

GoldmanORGANIZATION

0.89+

500 companiesQUANTITY

0.88+

OldmanPERSON

0.88+

three daysQUANTITY

0.87+

next couple of yearsDATE

0.85+

Hosho.ioORGANIZATION

0.85+

BitcoinOTHER

0.85+

a lot of peopleQUANTITY

0.84+

BahamasLOCATION

0.84+

IBM think 2018EVENT

0.84+

iBMORGANIZATION

0.83+

Las Vegas NevadaLOCATION

0.82+

four trading floorsQUANTITY

0.82+

few nights agoDATE

0.8+

a dozen companiesQUANTITY

0.79+

500ORGANIZATION

0.77+

Mike Errity, IBM, & Brian Reagan, Actifio | IBM Think 2018


 

>> Announcer: Live from Las Vegas, it's the CUBE, covering IBM Think 2018. Brought to you by IBM. (upbeat music) >> Hello, and welcome back to the CUBE here at IBM Think 2018. We're at the Mandalay Bay at the CUBE Studios where IBM Think 2018. I'm John Furrier, your host. Our next guest, Brian Reagan, Chief Marketing Officer, Actifio, and Mike Errity, VP North America, IBM Resiliency Services, guys welcome to the CUBE, Brian, good to see you. (mumbles) >> Good to see you John, yes. >> Great stuff here at IBM Think, big show, six in one. Six shows brought down to one. A lot of customers here, but the message, you're starting to see a clear line of sight, for customers seeing the innovation formula. Cloud Multi-Cloud Services, On-Prem through private Cloud as Oogie Mound reported, but really A.I. and Blockchain are infrastructure powering data. Data's at the center of the value proposition. You guys are partnering with IBM. What's the story here, what's the relationship? >> Well, yeah, I mean you nailed it John. I mean, data is really at the center of everything, right? I mean we're in, we're in the midst of a massive digital transformation on like anything we've seen in I.T. for 30 years. And, you know, every business is a data business. Whether they know it or not. And with that comes great rewards, but it also brings a lot of risks as well, and you know, we've been a strong partner of IBM's for as long as Actifio's been in business. We're a data company, or about managing data. And now, I think with this rising tide of data threats, you know, partnering with the world's leader in resiliency just makes all the sense in the world. >> (mumbles) Betting your business on data was a good call, don't you think? (loud laughter) >> I think so, yes, absolutely. >> Hey, with Watson and AM Mike, you guys are pioneering, obviously, and we've seen this evolve from the R&D and the, and the modern infrastructure of the systems level, infrastructure is code. But the real applications out there have to drive a lot of money opportunities, success for your clients, security's the biggest risk. It's a lot of industries out there for profit around security, the threats are endless. >> Mike: Yeah. >> There's new threats everyday. >> Mike: Yeah. >> This is hard business, data's the key. What's your reaction and vision around the current state of security? >> What I done in our, our decades of experience working with clients has proven that, at, at the start of a resiliency initiative, it starts with the data element. We've had the opportunity to work with thousands of clients. Everyday, we're helping them test their ability to be able to recover from some unplanned event. Something that could cause them damage. And, and that experience has been evolving over the past, I would say 18 months. We're on warp speed to help clients achieve literally an always on environment, and it starts with data. >> John: Yeah. >> The, the, the point about data that I think is important is that clients recognize that if there's any damage at all to their data repository, it will cause them severe damage, so protecting it and making sure that it's recoverable to a point in time, is what we're working with everyday. >> I'd like you to talk about for a minute, resiliency services, because security's broad, but everyone thinks, command center, killing the bad guys, offense, defense, blue teams, red teams. There's a, the trend of I.T.s, securities kind of moving into the direct line to the sea sweet. >> Mike: Yeah. >> 'Cause it's so important, the risk management alone, on securities, so you're seeing that trend. What do you guys do? What is resilience service? Take a minute to explain specifically what that is, in context of security. >> That is what's so exciting about being here at Think, because we're, we have a total interconnection between our security assets and our security domain, and our resiliency team, and so resiliency's about resuming business operations to the point before you had the event. Being back to that normal state of affairs. Resiliency for us has been about helping clients create a plan after assessing the risk, and designing and implementing that plan to, to return to a point in time where there know that they're safe, that their applications are back up and running. And what we're finding in the security domain, which is the reason why cyber resiliency includes security, networking, and the resiliency methodologies of getting back to normal. >> John: Yeah. >> Is that you have to combine all three of those categories. >> John: Yeah. >> To create a solution to return to that normal state at a safe point in time. >> Talk about the importance of the proactive front-end work that's involved, I mean, back up in recovery in the old tradition, oh yeah, it's at the end of the, probably just throws it back up at it, and then people have been bitten in the butt on that. They've gotten really impacted. How much work is involved? What is the playbook on the front-end to prepare? And give me an example where what's the consequences? >> Mike: Oh well the, >> Of not doing it? >> You used the right term, it is a playbook, and it's one that needs to be well scripted and well tested. The work on the upfront is to design the right solution. Technologically, to ensure that you have a, a solution that moves data from a place that could be harmed to a safe point, and create the environment, create the solution, and then figure out the right team and the right skill and the right investment to constantly test it, test it so that you have the ability, and that's the work that we're doing with Actifio. Actifio has the expertise to help us create the right copy-data management solution to enable a snap-snap-snap-snap copy to be able to then travel back in time to be able to find that right, clean point in the event of a cyber incident that has pervasively impacted a data center environment. >> What's the role of Actifio as an ingredient in that plan? Are they in the insurance policy? Are they in the front end? When are they invoked, and with, where, where are they in the process? >> Well they're the, I mean to be, to use a, an analogy that I'm comfortable with, we, we trust Actifio to provide us the brains of the solution, to be able to move the data constantly. Move it to a point where we can then create a service to be able to, as I said, go back in time, and Brian, you might want to comment on that a little more. >> Brian, talk about the relation to IBM in that context, because you know, covering IBM for so many years, you know, they're the big, the big ship, right? They move at, at a pace, with a huge customer base, you know, how do you guys integrate in? What are you guys providing? >> Brian: Sure. >> And what's the value proposition that you guys are fighting IBM? >> Well I mean the, the you know, because we've been partnering with IBM for so long, I mean literally since the inception of the company, we have a very common user-base, right? We, we serve the mid and large enterprise in global enterprises worldwide. We have, you know, 3000 customers from Actifio and, and almost all of them are IBM accounts as well. One of the things that, you know, just to kind of piggyback on, on, on Mike's discussion, you know one of the, and, and to speak specifically to a customer base, you know, global financials right now are not only worried about cyber threats to production, but increasingly they're worried about cyber-threats to their backup sets. And in fact, there is regulations, you know FISMA regulations in North America that talk about, you need air-gap protection between, you know, one backup set and another, because they're under attack now. So literally these threats have started to creep beyond just the normal production data sets. Actifio, plus, you know, resiliency services equals, you know, a technology that can provide that air-gap, provide the immutability, provide all the, you know, the insurance protection of the data, and provide the, the wear with all the knowledge to really get that playbook to resume business operations as fast as possible. >> You guys need to stay on top of the big trends too, because Blockchain's right around the corner. >> Brian: Yeah. >> That's immutable, that could be an opportunity. >> Brian: Absolutely. >> Thoughts on Blockchain? >> Blockchain is, you know, it is a fascinating technology. Apart from Discripto, right? (laughs) And, and what a better, we talk about, you know, every business is digital, literally Blockchain is turning every business into a digital business. And it is the next generation in terms of securing closed contracts, and securing really immutability and, and reference ability of data. I think it has a huge play with IBM obviously. Around GDPR and privacy. So, we, you know, we see that as absolutely the next frontier. >> Well there's a lot of these supply, IBM's been in the supply chain business for years, running technology for companies. And that's always been kind of the big monolithic systems, mainframe minis, lands, you know, CRM systems, ARPs, whatever you want to call it. Now you have agile cloud coming in. You got the plan, a resiliency plan. While there's a lot of business reconstruction going on at the business model level. >> Mike: That's right. >> So, are clients like banging their head against the wall? What's some of the conversations, like with the clients? So, I mean they got to be proactive. At the same time, they got a lot of stuff on their plate. >> Well they, we're sort of humbled by the role that we're in right now, because for years, we've been working with so many clients, to help them build programs, we, we've got ourselves into a very, you know, into a comfort zone of helping them recover from the environment you're talking about, just standard, legacy, data center recovery. We can accomplish the recovery time in, in minutes, nearly instantly, with no, no data loss. But suddenly, the humbling point is, our phone's ringing off the hook, asking, apply those same methodologies to the, to the risks that I'm seeing as my business is being digitized. And help me evolve, and to us it's all about orchestrating a recovery, creating a softer, defined solution to enable data that's recovered and systems that are automated. >> From quality partners, and you're happy with Actifio? >> Oh absolutely, yeah. >> It's like changing an airplane engine out 30,000 feet. You just, what you just talked about. I'm like, that sounds so hard. I got my business moving so fast, I'm modernizing, and I got to do all this work. >> And the devil's in the details, and whenever we're engaging with Actifio, they have the architects to assist us with those details. >> What about regulatory concerns? Obviously, that's come up a lot. We know GDPR's out there, that be we don't want to beat that dead horse, but you know, when you get into things like Cripto, Blockchain, regions of, of data centers where its cloud is deployed, you got regulatories, it's going to be a constant issue. >> Brian: Absolutely. >> Your thoughts on that? >> It is a constant issue, and part of the challenge with regulations, is they're very ambiguously worded. So, the interpretation of regulations is as challenging as actually delivering solutions to, to meet them. I think that it really does come down to, and in most regulations, good hygiene is protect the data, make sure that there is, you know, increasingly air-gaps around the sensitive data, both production as well as non-production, and make sure that you can resume business operations, you know, where and when you need to, and having the flexibility to do that on Prem, in the IBM cloud, you know, that's, that's what IBM does. >> And, and if I can just add a point to that Brian, the, the driver of the conversations that we're seeing are, is, is predominantly in a compliance area, so businesses are concerned, enterprises are concerned about, am I compliant, am I audit-worthy? And can I prove that not so much at time of recovery, but really a time of test. Can I go prove to the market place that I'm ready? >> No more lip service. >> Mike: None at all. >> You've got an actual plan. >> And, and, and, >> Not just for your own reasons, there's actually filings. >> And have documented proof of it. >> Yeah, IBM Actifio, all about the resiliency in global economy, you got Blockchain, you got A.I. At the heart of it is data. You don't have a plan, you better get one. (mumbles) Congratulations on your relationship. >> Oh thank you. >> John Furrier here inside the CUBE. IBM Think 2018, CUBE studios will be back with more coverage after this short break. (upbeat music)

Published Date : Mar 22 2018

SUMMARY :

Brought to you by IBM. We're at the Mandalay Bay at the CUBE Studios Data's at the center of the value proposition. and you know, we've been a strong partner of IBM's of the systems level, infrastructure is code. This is hard business, data's the key. We've had the opportunity to work with thousands of clients. to a point in time, is what we're working with everyday. into the direct line to the sea sweet. 'Cause it's so important, the risk management alone, security, networking, and the resiliency methodologies To create a solution to return to What is the playbook on the front-end to prepare? Actifio has the expertise to help us of the solution, to be able to move the data constantly. One of the things that, you know, just to kind of piggyback because Blockchain's right around the corner. And, and what a better, we talk about, you know, And that's always been kind of the big What's some of the conversations, like with the clients? into a very, you know, into a comfort zone You just, what you just talked about. And the devil's in the details, beat that dead horse, but you know, in the IBM cloud, you know, that's, that's what IBM does. And, and if I can just add a point to that Brian, At the heart of it is data. John Furrier here inside the CUBE.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
IBMORGANIZATION

0.99+

MikePERSON

0.99+

Brian ReaganPERSON

0.99+

BrianPERSON

0.99+

John FurrierPERSON

0.99+

Mike ErrityPERSON

0.99+

JohnPERSON

0.99+

30 yearsQUANTITY

0.99+

North AmericaLOCATION

0.99+

30,000 feetQUANTITY

0.99+

Mandalay BayLOCATION

0.99+

IBM Resiliency ServicesORGANIZATION

0.99+

Las VegasLOCATION

0.99+

sixQUANTITY

0.99+

bothQUANTITY

0.99+

GDPRTITLE

0.99+

Six showsQUANTITY

0.99+

ActifioORGANIZATION

0.99+

18 monthsQUANTITY

0.99+

ThinkORGANIZATION

0.99+

3000 customersQUANTITY

0.99+

oneQUANTITY

0.98+

threeQUANTITY

0.97+

OneQUANTITY

0.96+

FISMAORGANIZATION

0.95+

CriptoORGANIZATION

0.95+

CUBEORGANIZATION

0.94+

thousands of clientsQUANTITY

0.94+

ActifioPERSON

0.92+

IBM Think 2018EVENT

0.91+

AMPERSON

0.91+

Oogie MoundORGANIZATION

0.88+

CUBE StudiosLOCATION

0.85+

Chief Marketing OfficerPERSON

0.8+

WatsonPERSON

0.79+

decadesQUANTITY

0.77+

DiscriptoPERSON

0.77+

2018DATE

0.75+

VPPERSON

0.74+

one backupQUANTITY

0.72+

agileTITLE

0.69+

yearsQUANTITY

0.68+

North AmericaORGANIZATION

0.62+

BlockchainORGANIZATION

0.62+

ThinkEVENT

0.52+

V Balasubramanian & Brian Wallace, DXC Technology | IBM Think 2018


 

(energetic music) >> Announcer: Live from Las Vegas, it's the CUBE, covering IBM Think 2018. Brought to you by IBM. >> Hello everyone, welcome back to the cube's coverage here at IBM Think 2018. We are in Las Vegas, the Mandalay Bay, for IBM Think. Six shows are coming into one packed house. We have two great guests here, Brian Wallace, who's the CTO of Insurance for DXC technologies, and we have, Bala, The Bala, but goes by Bala, banking and capital markets CTO for DXC technologies. Guys, welcome to the cube. Thanks for joining us. >> Thank you. >> It's our pleasure, yeah, thanks. >> So, the innovation sandwich, I'm calling it IBM strategy. You've got in the middle, the meat, is data. And the bread is blockchain and AI. Two really fundamental technologies powered by cloud and a variety of other things. Obviously, AI is disrupted, we know what that looks like. Block Chain now emerging as a viable infrastructure enabler that's creating token economics, a lot of cool things, certainly on the banking side, seeing a lot of controversy. Block Chain really is driving it. You guys are out on the front lines. You're doing a lot crowd chats, been following your digital transformation story that you guys have been putting out there. Really you're on this. So, what's the conversations like that you guys are having with block chain and AI; Share? >> Bala: So, let me begin with a couple of quick points on block chain. DXC has done some fantastic work around the world leveraging both the trust capability that block chain brings to bear in financial banking industry use cases, like KYC for instance, institutional KYC in particular, but also, in simplification of entire value chains such as lending. And we're doing very interesting work in lending where not only are we looking at the up-front origination process of lending but also the downstream securitization. Which is where the tokenization of principle and interest payments and those type of things happen. >> John: Energy too? >> Oh yes, absolutely. So there are a number of these creating type use cases that follow into securitization. And with that, we're doing some very interesting work. >> John: Bala, talk about the globalization because one of the things we're seeing in the US a shrinking middle class, but outside the US in emerging markets, a growing middle class. Thanks to mobile technology, thanks to data, thanks to block chain, you're seeing, you know, countries that "hey, we have infrastructure but we don't have the core and modern infrastructure but you throw in a decentralized capability, You've got all these capabilities, and the killer app in all this is money. You're in, that's your vertical. >> Bala: Yes. >> That's your industry. The killer app is money and marketplaces. Your thoughts? >> Bala: I think, the beauty of what these technologies are doing, is for the first time creating financial inclusion to happen and the very first case of where financial inclusion is enabled, is in payments. So, when we open up the banking system predominantly from a payment perspective, which is what things like blockchain and others enable, if we succeed in doing that, then for the first time we've enabled, that's 2 billion people unbanked or underbanked-2 billion. >> John: Yeah. >> Bringing them into this financial system allows for. >> And some people are discriminated against too because they don't have a track record. Banks can't handle some of the things that others are now filling the void with crypto and blockchain. >> Bala: Right, or they can't service them profitably. But for the first time now, you're looking at the economics that cloud, and AI, and blockchain, these technologies bring, not just into banking and capital markets areas but into insurance and I'd love to have my colleague, Brian, talk with the insurance cases are enabled as well. >> John: Brian, insurance- go. >> Yeah, so it's a slightly different dynamic. There it's the, if you think about the fundamental pattern of blockchain it's around eliminating a central or a middle-man or a central, you know, gatekeeper, if you will. And the entire insurance industry is largely made up of middle-men, right? You've got people with risk at one end and you've got sources of capital at the other end and everybody's playing a role between a broker, and a carrier, and a re-insurer. In sort of facilitating that management and that transfer of risk. >> John: So you've got to extract some efficiencies out of that. Business model opportunity. >> So efficiencies, there's a lot of conversations around efficiencies, around automation, but interestingly, it's around the disruptive business model, right? The technology is mildly interesting but it's the new business models that blockchain will enable. >> John: Yeah, I see banking picking up. The early adopter on blockchain but I see, maybe it lagging a bit in insurance but I definitely see some opportunity there. But short term, data is driving insurance because, you know, I don't have a Tesla but my friend has a Tesla. The insurance company will know exactly who is rolling through those stop signs. They know everything that he's doing, All the data is there, so AI becomes really the low hanging fruit for insurance in that industry. Do you agree with that? Comment, reaction? >> Brian: Yeah, and we're just at the beginning, right? Because as you say, data is the asset that we manage. So we have a lot of data in terms of transactional data, the traditional operational data. What we're discovering, and what we're sort of licking our lips over almost is all of this new unstructured data, whether it's sensor data, behavioral data, and you're right, 'cause the challenge that we had around automation and cognitive computing, if you will. We're here at IBM with the Watson tech, was enough data, and the consistency and quality of that data. So we have that now, and we're making tremendous strides around in particular here, with the Watson brand, and the Watson cognitive. >> John: You know, one of the things I wish, was Dan Hutches was here, he's not, he's the CTO in charge. You've guys have been doing all these crowd chats our software that we wrote. That's pretty interesting. I've personally enjoyed all the conversations and give a shout out to Dan and you guys for really great conversation. You guys know what you're talking about. It's clear in the data you guys are taking an outside-in approach and collaborating. But your topics are on target. You're talking about digital transformation kind of holistically, but then you start to dive down into specific use cases. So, Bala, what is the favorite, or the most popular digital disruptive topic that's being discussed within DXC and your clients and in the marketplace? >> So, at the outset, within DXC, as digital transformation takes hold with our customers and we aim to be the premier provider of that enablement, what we've realized ourselves is that we provide a lot of services to our clients across many industries but there are commonalities across what we provide in terms of service delivery. And so it made sense for us to, number one: look at the commonalities and create a platform that was common across industries, across offerings that we bring to the marketplace. That commonality is what we call internally, and externally now, as bionics. And it's a platform that we are bringing forward that for the first time ties together what we are talking about both here at this event but also with our clients. Ties together intelligence, orchestration, and automation which are the fundamental, >> John: It's called bionics? >> Bionics. And internally we call it platform DXC upon which all of our offerings and services are brought to market. >> John: Well there's disruption going on in your business. So, I want to talk about, double-down on that for a second. I'm seeing a trend, certainly in the public sector market where the use cases are well enough defined. So you're seeing automatic code generation becoming a real part of the delivery process. Now, what that's going to do is essentially, think of provisioning and configuration management in cloud. If you could apply actual process code that you've done before in the commonalities, this is going to change the delivery timeframe. So you're looking at essentially auto-provisioning software. Not just like, configuration management resources. No, I'm saying here's a value chain, here's a block chain, here's some AI, just configure it like a LEGO block, push. That could take months to deliver the old way. >> Bala: Right. >> Your thoughts to that? Are you guys on that? Do you guys see that as something that's going to be an opportunity for you? Some companies, I've seen, Global system integrator, is being disrupted by this, cause they don't have this. New SI's, new system integrators, are thinking this way and that's a DevOps mindset. Are you prepared for that, do you see it coming? And what's your answer to that? >> So we saw that coming about 3 and a half plus years ago. And our shift away from being a pure SI began then. And so we are an SI, but we are a service integrator rather than a systems integrator. And we began that trend in our journey, 3 plus years ago. And the reason we began that trend was what you pointed out. Today, infrastructure is delivered as a code. So not even as a service but as a code, and so imagine provisioning infrastructure and all the capabilities that ride on it, just as code. And that's where this is headed. In that model, we become provider and provisioner of services, rather than just a system. >> John: And the cost structure is completely changed because the services, Amazon has proven, and now IBM is following suit with their power platform and other things, that you can actually have the kind of compute but it's a catalog of services. So this is going to change the price competitiveness. So you know, big bids, that used to be billions of dollars, you guys can compete. I mean, am I seeing it right? >> Brian: That transition's already, that ship's sailed, so to speak, in terms of the large outsourcing deals the large, where there's apps or infrastructure, it's all moving to digital transformation consumption based commercial models. And it's really bionics that Bala mentioned a minute ago, that is our answer to the threat you described a minute ago. It's really about automating and digitizing and building intelligence into the entire, if you will, build, deliver, operate value chain of our business. >> John: Talk about the multi-vendor, multi-choice, technology-choice, as your customers and people in general on this journey of digital transformation. They have to make, they used to make technology decisions. Now they're making business logic decisions around how to reconfigure their value chains to optimize for new efficiencies and extract away inefficiencies. Blockchain is a great example, AI is another, automation is in the middle, all the cloud. So you have now business logic as the risk, technology not so much because infrastructure as code has proven that you can have server-less, you can have all kinds of coolness that can be managed in an agile way. So the business model aspect is key. How are you guys dealing with that, cause I know you're here at the IBM Think Show, their partner. I see you at the Amazon shows. We see you guys everywhere. So you're horizontally scaling. By design, is that what customers want? What is the DXC view on this? >> So our value proposition has always had partners as the key element of what we do. And so if you look at what we do, you can look at it from two perspectives. One, proprietary ways of thinking, proprietary systems are long since gone. >> And waterfall methodologies, gone, dead. >> Yes, those are all long since gone. >> If you're still doing that, note to self: you're going to be out of business. >> Exactly, so we've actually hinged a lot of what we do on our offerings, our capabilities, and so on around openness, around open source, and so forth. So that's number one. Number Two: In this world, it's no longer about just DXC or just IBM or just somebody, one person bringing everything to our clients. It's about how do you engage proactively and build co-innovation and co-services with our partners and bring that to our clients. >> I mean, IBM just announced that a deal with Google. They've got tensorflow and their deal. So you have all kinds of melting pot. Okay, let's talk about blockchain again. Go back to my favorite topic. So, if you look up that stack, you've got blockchain, you've got cryptocurrency, protocols, and what-not, mentioned securitization, you've got security tokens, you've got utility tokens. You can almost see where this is going. And then you've got on top of that, what's coming, is a mass in-migration of decentralized application developers. Okay, kind of cloud plus. You know, they know cloud, they know DevOps, infrastructure as code, but they're looking at it from a decentralization standpoint, different makeup. And you see, ICOs, initial coin offerings, I think this is an application of you know, inefficiencies around capital markets but that's, you know, put that aside for a second. But blockchain, crypto currency, and decentralized applications, how do you guys see that trend? What are you guys doing? Are you integrating it in? You mentioned token economics, you're in the banking field. Your thoughts on that? >> Bala: Sure, on the blockchain front, as I mentioned to you, there are a number of platforms that are out there. There is the R3 Corda platform. There's a platform that JPMorgan initiated that we're leveraging as well. >> John: Yeah, so they pooh-poohed Bitcoin but then they're back in the game again. (laughter) >> Bala: Yes, that's right. And then there is the Hyperledger Fabric as well. So these platforms are going to take their course of evolution and we are working across all of those platforms. Now, the more interesting thing that you mentioned is people and skills. What we've find today in the marketplace is with our clients is a dramatic shortage of skills in these areas. And so internally, what we have done at DXC is actually open our own service delivery to a vast pool of developers that you talked about earlier as being freelance, independent folks. We open our entire service delivery to them as well. And we look at that global talent pool for our own service delivery. >> Using community as a way to scale. >> Bala: Using communities, yes. And that's exactly what we're doing in our talent process. It's not just about our people, our employees, but our partners as well as what exists in the open marketplace. >> Brian, talk about the insurance area as a way to tease out other trends. Specifically, the question is What is the biggest things that people know they're walking into? What's the tail-wind that they see, that's going to give them hope? And then, What's the head-winds? What are the blockers? And what should they be aware of? What are some of the marketplace dynamics that translate into other industries? >> Brian: Well, let's start with the obvious blocker is legacy debt, right? So you talked about the risk of all that business knowledge, that domain expertise, that's all today encapsulated in existing, what you may call legacy systems, right? So that's the head-wind by far. The tail-wind is that unlike, say 15 years ago, and we were in the last sort of, dot-com boom, when it was all about the front office and customer experience, the customer is way ahead of us. So culturally, the customer is challenging industry to catch up. So that's the tail-wind in my mind. And the real opportunity is to think about it in terms of a dual agenda. So think about it in terms as progressively, simultaneously building new digital capability, whilst ultimately beginning to unbundle and tackle that legacy debt. And I think customers now are starting to see a path forward. We're in the market in both banking and insurance with digital platforms, with industry resource models, API fabrics that can go back in, modernize legacy systems. So there's a real fast time to market. >> And it changes your engagement with clients. It's not a one and done, you're sticking through the service layer. >> Brian: Oh it's a journey, but the difference, I think, between DXC and a lot of other people is that we are in the market, in production, with real assets. And you can show that journey. So it just becomes a conversation around what's your pain point? Where are you starting from? Where do you want to go? >> And you're bringing the community in to help on the delivery side, everyone wins. >> Brian: And that community is a combination of three things. That's our own employees, obviously within the industry, and within our offerings that know banking, that know insurance. It's all of the DXC people in the horizontals. Because we're bringing everything now. These platforms encapsulate infrastructure, security, service management, analytics, mobility, all of that is built into these platforms. And then, it's going out into our partner community. And then, it's going out into the open community. And we're tapping into all of those. >> John: Brian and Bala, thanks so much. 2 power CTOs here on the Cube, having a CTO conversation around how scale, cloud, AI, blockchain, new technologies are enabling new business models at a faster pace of change, with a lower cost structure, and more time to value. Again, it's all about the value creation. The killer app is money and marketplaces and community. Guys, thanks so much for sharing. I'm John Furrier here at IBM Think 2018 Cube Studios. More after this short break. (electronic music)

Published Date : Mar 21 2018

SUMMARY :

Brought to you by IBM. We are in Las Vegas, the Mandalay Bay, for IBM Think. And the bread is blockchain and AI. leveraging both the trust capability that block chain And with that, we're doing some very interesting work. John: Bala, talk about the globalization The killer app is money and marketplaces. and the very first case of where financial inclusion that others are now filling the void But for the first time now, you're looking at the economics And the entire insurance industry is John: So you've got to extract the new business models that blockchain will enable. All the data is there, so AI becomes really 'cause the challenge that we had around automation It's clear in the data you guys are taking that for the first time ties together and services are brought to market. becoming a real part of the delivery process. Do you guys see that as something And the reason we began that trend So you know, big bids, that used to be and building intelligence into the entire, if you will, So the business model aspect is key. And so if you look at what we do, If you're still doing that, note to self: It's about how do you engage proactively And you see, ICOs, initial coin offerings, There is the R3 Corda platform. John: Yeah, so they pooh-poohed Bitcoin Now, the more interesting thing that you And that's exactly what we're doing in our talent process. What is the biggest things that people And the real opportunity is to think about it And it changes your engagement with clients. And you can show that journey. And you're bringing the community in It's all of the DXC people in the horizontals. Again, it's all about the value creation.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
DanPERSON

0.99+

Brian WallacePERSON

0.99+

JohnPERSON

0.99+

AmazonORGANIZATION

0.99+

IBMORGANIZATION

0.99+

BrianPERSON

0.99+

GoogleORGANIZATION

0.99+

Las VegasLOCATION

0.99+

Dan HutchesPERSON

0.99+

John FurrierPERSON

0.99+

JPMorganORGANIZATION

0.99+

BalaPERSON

0.99+

Six showsQUANTITY

0.99+

TeslaORGANIZATION

0.99+

USLOCATION

0.99+

TwoQUANTITY

0.99+

Mandalay BayLOCATION

0.99+

3 plus years agoDATE

0.99+

DXCORGANIZATION

0.99+

first timeQUANTITY

0.99+

KYCORGANIZATION

0.99+

bothQUANTITY

0.99+

TodayDATE

0.99+

two perspectivesQUANTITY

0.99+

WatsonORGANIZATION

0.98+

a minute agoDATE

0.98+

two great guestsQUANTITY

0.98+

oneQUANTITY

0.98+

first caseQUANTITY

0.98+

LEGOORGANIZATION

0.98+

todayDATE

0.97+

2 billion peopleQUANTITY

0.96+

15 years agoDATE

0.96+

about 3 and a half plus years agoDATE

0.96+

DXC TechnologyORGANIZATION

0.94+

one personQUANTITY

0.94+

V BalasubramanianPERSON

0.93+

IBM ThinkORGANIZATION

0.92+

one endQUANTITY

0.91+

one packed houseQUANTITY

0.9+

OneQUANTITY

0.89+

three thingsQUANTITY

0.85+

billions of dollarsQUANTITY

0.85+

Number TwoQUANTITY

0.81+

secondQUANTITY

0.8+

fundamentalQUANTITY

0.79+

Ritika Gunnar, IBM | IBM Think 2018


 

>> Narrator: Live from Las Vegas, it's theCUBE! Covering IBM Think 2018. Brought to you by IBM. >> Hello and I'm John Furrier. We're here in theCUBE studios at Think 2018, IBM Think 2018 in Mandalay Bay, in Las Vegas. We're extracting the signal from the noise, talking to all the executives, customers, thought leaders, inside the community of IBM and theCUBE. Our next guest is Ritika Gunnar who is the VP of Product for Watson and AI, cloud data platforms, all the goodness of the product side. Welcome to theCUBE. >> Thank you, great to be here again. >> So, we love talking to the product people because we want to know what the product strategy is. What's available, what's the hottest features. Obviously, we've been talking about, these are our words, Jenny introduced the innovation sandwich. >> Ritika: She did. >> The data's in the middle, and you have blockchain and AI on both sides of it. This is really the future. This is where they're going to see automation. This is where you're going to see efficiencies being created, inefficiencies being abstracted away. Obviously blockchain's got more of an infrastructure, futuristic piece to it. AI in play now, machine learning. You got Cloud underneath it all. How has the product morphed? What is the product today? We've heard of World of Watson in the past. You got Watson for this, you got Watson for IOT, You got Watson for this. What is the current offering? What's the product? Can you take a minute, just to explain what, semantically, it is? >> Sure. I'll start off by saying what is Watson? Watson is AI for smarter business. I want to start there. Because Watson is equal to how do we really get AI infused in our enterprise organizations and that is the core foundation of what Watson is. You heard a couple of announcements that the conference this week about what we're doing with Watson Studio, which is about providing that framework for what it means to infuse AI in our clients' applications. And you talked about machine learning. It's not just about machine learning anymore. It really is about how do we pair what machine learning is, which is about tweaking and tuning single algorithms, to what we're doing with deep learning. And that's one of the core components of what we're doing with Watson Studio is how do we make AI truly accessible. Not just machine learning but deep learning to be able to infuse those in our client environments really seamlessly and so the deep learning as a service piece of what we're doing in the studio was a big part of the announcements this week because deep learning allows our clients to really have it in a very accessible way. And there were a few things we announced with deep learning as a service. We said, look just like with predictive analytics we have capabilities that easily allow you to democratize that to knowledge workers and to business analysts by adding drag-and-drop capabilities. We can do the same thing with deep learning and deep learning capabilities. So we have taken a lot of things that have come from our research area and started putting those into the product to really bring about enterprise capabilities for deep learning but in a really de-skilled way. >> Yeah, and also to remind the folks, there's a platform involved here. Maybe you can say it's been re-platformed, I don't know. Maybe you can answer that. Has it been re-platformed or is it just the platformization of existing stuff? Because there's certainly demand. TensorFlow at Google showed that there's a demand for machine learning libraries and then deep learning behind. You got Amazon Web Services with Sagemaker, Touting. As a service model for AI, it's definitely in demand. So talk about the platform piece underneath. What is it? How does it get rendered? And then we'll come back and talk about the user consumption side. >> So it definitely is not a re-platformization. You recall what we have done with a focus initially on what we did on data science and what we did on machine learning. And the number one thing that we did was we were about supporting open-source and open frameworks. So it's not just one framework, like a TensorFlow framework, but it's about what we can do with TensorFlow, Keras, PyTorch, Caffe, and be able to use all of our builders' favorite open-source frameworks and be able to use that in a way where then we can add additional value on top of that and help them accelerate what it means to actually have that in the enterprise and what it means to actually de-skill that for the organization. So we started there. But really, if you look at where Watson has focused on the APIs and the API services, it's bringing together those capabilities of what we're doing with unstructured, pre-trained services, and then allowing clients to be able to bring together the structured and unstructured together on one platform, and adding the deep learning as a service capabilities, which is truly differentiating. >> Well, I think the important point there, just to amplify, and for the people to know is, it's not just your version of the tools for the data, you're looking at bringing data in from anywhere the customer, your customer wants it. And that's super critical. You don't want to ignore data. You can't. You got to have access to the data that matters. >> Yeah, you know, I think one of the other critical pieces that we're talking about here is, data without AI is meaningless and AI without data is really not useful or very accurate. So, having both of them in a yin yang and then bringing them together as we're doing in the Watson Studio is extremely important. >> The other thing I want get now to the user side, the consumption side you mentioned making it easier, but one of the things we've been hearing, that's been a theme in the hallways and certainly in theCUBE here is; bad data equals bad AI. >> Bad data equals bad AI. >> It's not just about bolting a AI on, you really got to take a holistic approach and a hygiene approach to the data and understanding where the data is contextually is relevant to the application. Talk about, that means kind of nuance, but break that down. What's your reaction to that and how do you talk to customers saying, okay look you want to do AI here's the playbook. How do you explain that in a very simple way? >> Well you heard of the AI ladder, making your data ready for AI. This is a really important concept because you need to be able to have trust in the data that you have, relevancy in the data that you have, and so it is about not just the connectivity to that data, but can you start having curated and rich data that is really valuable, that's accurate that you can trust, that you can leverage. It becomes not just about the data, but about the governance and the self-service capabilities that you can have and around that data and then it is about the machine learning and the deep learning characteristics that you can put on there. But, all three of those components are absolutely essential. What we're seeing it's not even about the data that you have within the firewall of your organization, it's about what you're doing to really augment that with external data. That's another area that we're having pre-trained, enriched, data sets with what we're doing with the Wats and data kits is extremely important; industry specific data. >> Well you know my pet peeve is always I love data. I'm a data geek, I love innovation, I love data driven, but you can't have data without good human interaction. The human component is critical and certainly with seeing trends where startups like Elation that we've interviewed; are taking this social approach to data where they're looking at it like you don't need to be a data geek or data scientist. The average business person's creating the value in especially blockchain, we were just talking in theCUBE that it's the business model Innovations, it's universal property and the technology can be enabled and managed appropriately. This is where the value is. What's the human component? Is there like... You want to know who's using the data? >> Well-- >> Why are they using data? It's like do I share the data? Can you leverage other people's data? This is kind of a melting pot. >> It is. >> What's the human piece of it? >> It truly is about enabling more people access to what it means to infuse AI into their organization. When I said it's not about re-platforming, but it's about expanding. We started with the data scientists, and we're adding to that the application developer. The third piece of that is, how do you get the knowledge worker? The subject matter expert? The person who understand the actual machine, or equipment that needs to be inspected. How do you get them to start customizing models without having to know anything about the data science element? That's extremely important because I can auto-tag and auto-classify stuff and use AI to get them started, but there is that human element of not needing to be a data scientist, but still having input into that AI and that's a very beautiful thing. >> You know it's interesting is in the security industry you've seen groups; birds of a feather flock together, where they share hats and it's a super important community aspect of it. Data has now, and now with AI, you get the AI ladder, but this points to AI literacy within the organizations. >> Exactly. >> So you're seeing people saying, hey we need AI literacy. Not coding per se, but how do we manage data? But it's also understanding who within your peer group is evolving. So your seeing now a whole formation of user base out there, users who want to know who their; the birds of the other feather flocking together. This is now a social gamification opportunity because they're growing together. >> There're-- >> What's your thought on that? >> There're two things there I would say. First, is we often go to the technology and as a product person I just spoke to you a lot about the technology. But, what we find in talking to our clients, is that it really is about helping them with the skills, the culture, the process transformation that needs to happen within the organization to break down the boundaries and the silos exist to truly get AI into an organization. That's the first thing. The second, is when you think about AI and what it means to actually infuse AI into an enterprise organization there's an ethics component of this. There's ethics and bias, and bias components which you need to mitigate and detect, and those are real problems and by the way IBM, especially with the work that we're doing within Watson, with the work that we're doing in research, we're taking this on front and center and it's extremely important to what we do. >> You guys used to talk about that as cognitive, but I think you're so right on. I think this is such a progressive topic, love to do a deeper dive on it, but really you nailed it. Data has to have a consensus algorithm built into it. Meaning you need to have, that's why I brought up this social dynamic, because I'm seeing people within organizations address regulatory issues, legal issues, ethical, societal issues all together and it requires a group. >> That's right. >> Not just algorithm, people to synthesize. >> Exactly. >> And that's either diversity, diverse groups from different places and experiences whether it's an expert here, user there; all coming together. This is not really talked about much. How are you guys-- >> I think it will be more. >> John: It will, you think so? >> Absolutely it will be more. >> What do you see from customers? You've done a lot of client meetings. Are they talking about this? Or they still more in the how do I stand up AI, literacy. >> They are starting to talk about it because look, imagine if you train your model on bad data. You actually have bias then in your model and that means that the accuracy of that model is not where you need it to be if your going to run it in an enterprise organization. So, being able to do things like detect it and proactively mitigate it are at the forefront and by the way this where our teams are really focusing on what we can do to further the AI practice in the enterprise and it is where we really believe that the ethics part of this is so important for that enterprise or smarter business component. >> Iterating through the quality the data's really good. Okay, so now I was talking to Rob Thomas talking about data containers. We were kind of nerding out on Kubernetes and all that good stuff. You almost imagine Kubernetes and containers making data really easy to move around and manage effectively with software, but I mentioned consensus on the understanding the quality of the data and understanding the impact of the data. When you say consensus, the first thing that jumps in my mind is blockchain, cryptocurrency. Is there a tokenization economics model in data somewhere? Because all the best stuff going on in blockchain and cryptocurrency that's technically more impactful is the changing of the economics. Changing of the technical architectures. You almost can say, hmm. >> You can actually see over a time that there is a business model that puts more value not just on the data and the data assets themselves, but on the models and the insights that are actually created from the AI assets themselves. I do believe that is a transformation just like what we're seeing in blockchain and the type of cryptocurrency that exists within there, and the kind of where the value is. We will see the same shift within data and AI. >> Well, you know, we're really interested in exploring and if you guys have any input to that we'd love to get more access to thought leaders around the relationship people and things have to data. Obviously the internet of things is one piece, but the human relationship the data. You're seeing it play out in real time. Uber had a first death this week, that was tragic. First self-driving car fatality. You're seeing Facebook really get handed huge negative press on the fact that they mismanaged the data that was optimized for advertising not user experience. You're starting to see a shift in an evolution where people are starting to recognize the role of the human and their data and other people's data. This is a big topic. >> It's a huge topic and I think we'll see a lot more from it and the weeks, and months, and years ahead on this. I think it becomes a really important point as to how we start to really innovate in and around not just the data, but the AI we apply to it and then the implications of it and what it means in terms of if the data's not right, if the algorithm's aren't right, if the biases is there. It is big implications for society and for the environment as a whole. >> I really appreciate you taking the time to speak with us. I know you're super busy. My final question's much more share some color commentary on IBM Think this week, the event, your reaction to, obviously it's massive, and also the customer conversations you've had. You've told me that your in client briefings and meetings. What are they talking about? What are they asking for? What are some of the things that are, low-hanging fruit use cases? Where's the starting point? Where are people jumping in? Can you just share any data you have on-- >> Oh I can share. That's a fully loaded question; that's like 10 questions all in one. But the Think conference has been great in terms of when you think about the problems that we're trying to solve with AI, it's not AI alone, right? It actually is integrated in with things like data, with the systems, with how we actually integrate that in terms of a hybrid way of what we're doing on premises and what we're doing in private Cloud, what we're doing in public Cloud. So, actually having a forum where we're talking about all of that together in a unified manner has actually been great feedback that I've heard from many customers, many analysts, and in general from an IBM perspective, I believe has been extremely valuable. I think the types of questions that I'm hearing and the types of inputs and conversations we're having, are one of where clients want to be able to innovate and really do things that are in Horizon three type things. What are the things they should be doing in Horizon one, Horizon two, and Horizon three when it comes to AI and when it comes to AI and how they treat their data. This is really important because-- >> What's Horizon one, two and three? >> You think about Horizon one, those are things you should be doing immediately to get immediate value in your business. Horizon two, are kind of mid-term, 18 to 24. 24 plus months out is Horizon 3. So when you think about an AI journey, what is your AI journey really look like in terms of what you should be doing in the immediate terms. Small, quick wins. >> Foundational. >> What are things that you can do kind of projects that will pan out in a year and what are the two to three year projects that we should be doing. This are the most frequent conversations that I've been having with a lot of our clients in terms of what is that AI journey we should be thinking about, what are the projects right now, how do we work with you on the projects right now on H1 and H2. What are the things we can start incubating that are longer term. And these extremely transformational in nature. It's kind of like what do we do to really automate self-driving, not just cars, but what we do for trains and we do to do really revolutionize certain industries and professions. >> How does your product roadmap to your Horizons? Can you share a little bit about the priorities on the roadmap? I know you don't want to share a lot of data, competitive information. But, can you give an antidotal or at least a trajectory of what the priorities are and some guiding principals? >> I hinted at some of it, but I only talked about the Studio, right... During this discussion, but still Studio is just one of a three-pronged approach that we have in Watson. The Studio really is about laying the foundation that is equivalent for how do we get AI in our enterprises for the builders, and it's like a place where builders go to be able to create, build, deploy those models, machine learning, deep learning models and be able to do so in a de-skilled way. Well, on top of that, as you know, we've done thousands of engagements and we know the most comprehensive ways that clients are trying to use Watson and AI in their organizations. So taking our learnings from that, we're starting to harden those in applications so that clients can easily infuse that into their businesses. We have capabilities for things like Watson Assistance, which was announced this week at the conference that really helped clients with pre-existing skills like how do you have a customer care solution, but then how can you extend it to other industries like automotive, or hospitality, or retail. So, we're working not just within Watson but within broader IBM to bring solutions like that. We also have talked about compliance. Every organization has a regulatory, or compliance, or legal department that deals with either SOWs, legal documents, technical documents. How do you then start making sure that you're adhering to the types of regulations or legal requirements that you have on those documents. Compare and comply actually uses a lot of the Watson technologies to be able to do that. And scaling this out in terms of how clients are really using the AI in their business is the other point of where Watson will absolutely focus going forward. >> That's awesome, Ritika. Thank you for coming on theCUBE, sharing the awesome work and again gutting across IBM and also outside in the industry. The more data the better the potential. >> Absolutely. >> Well thanks for sharing the data. We're putting the data out there for you. theCUBE is one big data machine, we're data driven. We love doing these interviews, of course getting the experts and the product folks on theCUBE is super important to us. I'm John Furrier, more coverage for IBM Think after this short break. (upbeat music)

Published Date : Mar 21 2018

SUMMARY :

Brought to you by IBM. all the goodness of the product side. Jenny introduced the innovation sandwich. and you have blockchain and AI on both sides of it. and that is the core foundation of what Watson is. Yeah, and also to remind the folks, there's a platform and adding the deep learning as a service capabilities, and for the people to know is, and then bringing them together the consumption side you mentioned making it easier, and how do you talk to customers saying, and the self-service capabilities that you can have and the technology can be enabled and managed appropriately. It's like do I share the data? that human element of not needing to be a data scientist, You know it's interesting is in the security industry the birds of the other feather flocking together. and the silos exist to truly get AI into an organization. love to do a deeper dive on it, but really you nailed it. How are you guys-- What do you see from customers? and that means that the accuracy of that model is not is the changing of the economics. and the kind of where the value is. and if you guys have any input to and for the environment as a whole. and also the customer conversations you've had. and the types of inputs and conversations we're having, what you should be doing in the immediate terms. What are the things we can start incubating on the roadmap? of the Watson technologies to be able to do that. and also outside in the industry. and the product folks on theCUBE is super important to us.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
IBMORGANIZATION

0.99+

JennyPERSON

0.99+

JohnPERSON

0.99+

Ritika GunnarPERSON

0.99+

UberORGANIZATION

0.99+

John FurrierPERSON

0.99+

Mandalay BayLOCATION

0.99+

10 questionsQUANTITY

0.99+

FacebookORGANIZATION

0.99+

twoQUANTITY

0.99+

GoogleORGANIZATION

0.99+

Rob ThomasPERSON

0.99+

Amazon Web ServicesORGANIZATION

0.99+

RitikaPERSON

0.99+

bothQUANTITY

0.99+

FirstQUANTITY

0.99+

three yearQUANTITY

0.99+

Horizon 3TITLE

0.99+

third pieceQUANTITY

0.99+

secondQUANTITY

0.99+

Horizon threeTITLE

0.99+

WatsonTITLE

0.99+

one pieceQUANTITY

0.98+

both sidesQUANTITY

0.98+

first deathQUANTITY

0.98+

this weekDATE

0.98+

TensorFlowTITLE

0.98+

Las VegasLOCATION

0.98+

oneQUANTITY

0.98+

a yearQUANTITY

0.97+

one platformQUANTITY

0.97+

KubernetesTITLE

0.97+

Horizon twoTITLE

0.97+

ElationORGANIZATION

0.96+

first thingQUANTITY

0.96+

18QUANTITY

0.96+

Watson StudioTITLE

0.96+

todayDATE

0.95+

thousandsQUANTITY

0.95+

two thingsQUANTITY

0.95+

PyTorchTITLE

0.95+

Watson AssistanceTITLE

0.94+

24. 24QUANTITY

0.94+

2018DATE

0.94+

Horizon oneTITLE

0.93+

Think 2018EVENT

0.93+

threeQUANTITY

0.9+

one frameworkQUANTITY

0.89+

SagemakerORGANIZATION

0.88+

theCUBEORGANIZATION

0.88+

single algorithmsQUANTITY

0.88+

ThinkCOMMERCIAL_ITEM

0.85+

KerasTITLE

0.84+

CaffeTITLE

0.81+

threeTITLE

0.8+

First self-QUANTITY

0.79+

Dinesh Nirmal, IBM | IBM Think 2018


 

>> Voiceover: Live from Las Vegas it's the Cube. Covering IBM Think 2018. Brought to you by IBM. >> Welcome back to IBM Think 2018. This is the Cube, the leader in live tech coverage. My name is Dave Vellante and this is our third day of wall-to-wall coverage of IBM Think. Dinesh Nirmal is here, he's the Vice-President of Analytics Development at IBM. Dinesh, great to see you again. >> I know. >> We just say each other a couple of weeks ago. >> I know, in New York. >> Yeah and, of course, in Big Data SV >> Right. >> Over at the Strata Conference. So, great to see you again. >> Well, Thank you. >> A little different venue here. We had real intimate in New York City and in San Jose. >> I know, I know. >> Massive. What are your thoughts on bringing all the clients together like this? >> I mean, it's great because we have combined all the conferences into one, which obviously helps because the message is very clear to our clients on what we are doing end-to-end, but the feedback has been tremendous. I mean, you know, very positive. >> What has the feedback been like in terms of how you guys are making progress in the analytics group? What are they like? What are they asking you for more of? >> Right. So on the analytics side, the data is growing you know, by terabytes a day and the questions is how do they create insights into this massive amount of data that they have in their premise or on Cloud. So we have been working to make sure that how can we build the tools to enable our customers to create insights whether the data is on private cloud, public, or hybrid. And that's a very unique valid proposition that we bring to our customers. Regardless of where your data is, we can help you whether it's cloud, private, or hybrid. >> Well so, we're living in this multi-petabyte world now. Like overnight it became multi-petabyte. And one of the challenges of course people have is not only how do you deal with that volume of data, but how do I act on it and get insights quickly. How do I operationalize it? So maybe you can talk about some of the challenges of operationalizing data. >> Right. So, when I look at machine learning, there is three D's I always say and you know, the first D is the data, the development of the model, and the deployment of the model. When I talk about operationalization, especially the deployment piece, is the one that gets the most challenging for our enterprise customers. Once you clean the data and you build the model how do you take that model and you bring it your existing infrastructure. I mean, you know, look at your large enterprises. Right? I mean, you know, they've been around for decades. So they have third party software. They have existing infrastructure. They have legacy systems. >> Dave: A zillion data marks and data warehouses >> Data marks, so into all of that, how do you infuse machine learning, becomes very challenging. I met with the CTO of a major bank a few months ago, and his statement kind of stands out to me. Where he said, "Dinesh, it only took us three weeks to build the model. It's been 11 months, we still haven't deployed it". So that's the challenge our customers face and that's where we bring in the skillset. Not just the tools but we bring the skills to enable and bring that into production. >> So is that the challenge? It's the skillsets or is it the organizational inertia around well I don't have the time to do that now because I've got to get this report out or ... >> Dinesh: Right Maybe you can talk about that a little. Right. So that is always there. Right? I mean, because once a priority is set obviously the different challenges pull you in different directions, so every organization faces that to a large extent. But I think if you take from a pure technical perspective, I would say the challenge is two things. Getting the right tools, getting the right skills. So, with IBM, what we are focusing is how do we bring the right tools, regardless of the form factor you have, whether Cloud, Private Cloud, Hybrid Cloud, and then how do we bring the right skills into it. So this week we announce the data science lead team, who can come in and help you with building models. Looking at the use cases. Should we be using vanilla machine learning or should we be using deep learning. All those things and how do we bring that model into the production environment itself. So I would say tools and skills. >> So skills wise, in the skills there's at least two paths. It's like the multi-tool athlete. You've got the understanding of the tech. >> Dinesh: Right. >> You know, the tools, most technology people say hey, I'll figure that out. But then there's this data and digital >> Right. >> Skills. It's like this double deep skills that is challenging. So you're saying you can help. >> Right. Sort of kick-start that and how does that work? That sort of a services engagement? That's part of the ... >> So, once you identify a use case, the data science lead team can come in, because they have the some level of vertical knowledge of your industry. They are very trained data scientists. So they can come assess the use case. Help you pick the algorithms to build it. And then help you deploy, cleanse the data. I mean, you bring up a very, very good point. I mean, let's just look at the data, right. The personas that's involved in data; there is the data engineer, there's the data scientist, there's the data worker, there's the data steward, there's the CTO. So, that's just the data piece. Right? I mean, there's so many personas that have to come together. And that's why I said the skills a very critical piece of all it, but also, working together. The collaboration is important. >> Alright, tell us more about IBM Cloud Private for data. We've heard about IBM Cloud Private. >> Danish: Right. >> Cloud Private for Data is new. What's that all about? >> Right, so we announced IBM Cloud Private for Data this week and let me tell you, Dave, this has been the most significant announcement from an analytic perspective, probably in a while, that we are getting such a positive response. And, I will tell you why. So when you look at the platform, our customers want three things. One, they want to be able to build on top of the platform. They want it to be open and they want it to be extensible. And we have all three available. The platform is built on Kubernetes. So it's completely open, it's scalable, it's elastic. All those features comes with it. And then we put that end-to-end so you can ingest the data, you can cleanse it or transform it. You can build models or do deep analytics on it. You can visualize it. So you can do everything on the platform. So I'll take an example, like block chain, for example, I mean you have, if I were to simplify it, Right? You have the ledger, where you are, obviously, putting your transactions in and then you have a stay database where you are putting your latest transactions in. The ledger's unstructured. So, how do you, as that is getting filled, How do you ingest that, transform it on the fly, and be able to write into a persistent place and do analytics on it. Only a platform can do with that kind of volume of data. And that's where the data platform brings in, which is very unique especially on the modern applications that you want to do. >> Yes, because if you don't have the platform ... Let's unpack this a little bit. You've got a series of bespoke products and then you've got, just a lot of latency in terms of the elapsed times to get to the insights. >> Dinesh: Right. >> Along the way you've got data consistency issues, data quality >> Dinesh: Right >> maybe is variable. Things change. >> Right. I mean, think about it, right. If you don't have the platform then you have side-load products. So all of a sudden you've got to get a product for your governance, your integration catalog. You need to get a product for ingest. You got to get a product for persistence. You got to get a product for analytics. You got to get a product for visualization. And then you add the complexity of the different personas working together between the multitude of products. You have a mess in your hand at that point. The platform solves that problem because it brings you an integrated end-to-end solution that you can use to build, for example, block chain in this case. >> Okay, I've asked you this before, but I've got to again and get it on record with Think. So, a lot of people would hear that and say Okay but it's a bunch of bespoke products that IBM has taken they've put a UI layer on top and called it a platform. So, what defines a platform and how have you not done that? >> Right. >> And actually created the platform? >> Right. So, we are taking the functionality of the existing parts and that's what differentiates us. Right? If you look at our governance portfolio, I can sit here and very confidently say no one can match that, so >> Dave: Sure. We obviously have that strength >> Real Tap >> Right, Real Tap. That we can bring. So we are bringing the functionality. But what we have done is we are taking the existing products and disintegrated in to micro services so we can make it cloud native. So that is a huge step for us, right? And then once you make that containerized and micro services it fits into the open platform that we talked about before. And now you have an end-to-end, well orchestrated pipeline that's available in the platform that can scale and be elastic as needed. So, it's not that we are bringing the products, we are bringing the functionality of it. >> But I want to keep on this for a second, so the experience for the user is different if you microserviced what you say because if you just did what I said and put a layer a UI layer on top, you would be going into these stovepipes and then cul-de-sac and then coming back >> Dinesh: Right. And coming back. So, the development effort for that must have been >> Oh, yeah. >> Fairly massive. You could have done the UI layer in, you know, in months. >> Right, right, right, then it is not really cloud native way of doing it, right? I mean, if you're just changing the UI and the experience, that's completely different. What we have done is that we have completely re-architected the underlying product suite to meet the experience and the underlying platform layer. So, what can happen? How long did this take? What kind of resources did you have to throw at this from a development standpoint? >> So this has been in development for 12-18 months. >> Yeah. >> And we put, you know, a tremendous amount of resources to make this happen. I mean, fortunately in our case we have the depth, we have the functionality. So it was about translating that into the cloud native way of doing the app development. >> So did you approach this with sort of multiple small teams? Or was there a larger team? What was your philosophy here? >> It was multiple small teams, right. So if you look at our governance portfolio we got to take our governance catalog, rewrite that code. If we look at our master data management portfolio, we got to take, so it's multiple of small teams with very core focus. >> I mean, I ask you these questions because I think it adds credibility to the claims that you're making about we have a platform not a series of bespoke products. >> Right and we demoed it. Actually tomorrow at 11, I'm going to deep dive into the architecture of the whole platform itself. How we built it. What are the components we used and I'm going to demo it. So the code is up and running and we are going to put it out there into Cube for everybody to go us it. >> At Mandalay Bay, where is that demo? >> It's in Mandalay Bay, yeah. >> Okay. >> We have a session at 11:30. >> Talk more about machine learning and how you've infused machine learning into the portfolio. >> Right. So, every part of our product portfolio has machinery so, I'll take two examples. One is DB2. So today, DB2 Optimizer is a cost-based optimizer. We have taken the optimizer and infused machine learning into it to say, you know, based on the query that's coming in take the right access path, predict the right access path and take it. And that has been such a great experience because we are seeing 30-50 percent performance improvement in most of the queries that we run through the machinery. So that's one. The other one is the classification, so let's say, you have a business term and you want to classify. So, if you have a zip code, we can use in our catalog to say there's an 80% chance this particular number is a zip code and then it can learn over time, if you tell it, no that's not a zip code, that's a post code in Canada. So the next time you put that in there it has learned. So every product we have infused machine learning and that's our goal is to become completely a cognitive platform pretty soon. I mean, you know, so that has also been a tremendous piece of work that we're doing. >> So what can we expect? I mean, you guys are moving fast. >> Yeah. >> We've seen you go from sort of a bespoke product company division to this platform division. Injecting now machine learning into the equation. You're bringing in new technologies like block chain, which you're able to do because you have a platform. >> Right. >> What should we expect in terms of the pace and the types of innovations that we could see going forward? What could you share with us without divulging secrets? >> Right. So, from a product perspective we want to infuse cognitive machine learning into every aspect of the product. So, we don't want to, we don't want our customers calling us, telling there's a problem. We want to be able to tell our customer a day or two hours ahead that there is a problem. So that is predictability, Right? So we want not just in the product, even in the services side, we want to infuse total machine learning into the product. From a platform perspective we want to make it completely open, extensible. So our partners can come and build on top of it. So every customer can take advantage of vertical and other solutions that they build. >> You get a platform, you get this fly-wheel effect, inject machine learning everywhere open API so you can bring in new technologies like block chain as they evolve. Dinesh, thank you very much for coming on the Cube. >> Oh, thank you so much. >> Always great to have you. >> It's a pleasure, thank you. >> Alright, keep it right there everybody. We'll be right back with our next guest. This is the Cube live from IBM Think 2018. We'll be right back. (techno music)

Published Date : Mar 21 2018

SUMMARY :

Brought to you by IBM. Dinesh, great to see you again. So, great to see you again. in New York City and in San Jose. all the clients together like this? I mean, you know, very positive. So on the analytics side, the data is growing So maybe you can talk I mean, you know, Not just the tools but we bring the skills So is that the challenge? obviously the different challenges pull you You've got the understanding of the tech. You know, the tools, most technology people So you're saying you can help. That's part of the ... I mean, let's just look at the data, right. Alright, tell us more about IBM Cloud Private for data. What's that all about? You have the ledger, where you are, obviously, Yes, because if you don't have the platform ... maybe is variable. And then you add the complexity of the different personas and how have you not done that? of the existing parts and that's what differentiates us. We obviously have that strength bringing the products, we are bringing So, the development effort You could have done the UI layer in, What kind of resources did you have to throw And we put, you know, a tremendous amount of resources So if you look at our governance portfolio I mean, I ask you these questions because I think So the code is up and running and we are going infused machine learning into the portfolio. So the next time you put that in there it I mean, you guys are moving fast. Injecting now machine learning into the equation. even in the services side, we want to infuse total You get a platform, you get this fly-wheel effect, This is the Cube live from IBM Think 2018.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
DavePERSON

0.99+

Dave VellantePERSON

0.99+

IBMORGANIZATION

0.99+

CanadaLOCATION

0.99+

Dinesh NirmalPERSON

0.99+

New YorkLOCATION

0.99+

San JoseLOCATION

0.99+

New York CityLOCATION

0.99+

three weeksQUANTITY

0.99+

two hoursQUANTITY

0.99+

80%QUANTITY

0.99+

Mandalay BayLOCATION

0.99+

11 monthsQUANTITY

0.99+

DineshPERSON

0.99+

Las VegasLOCATION

0.99+

11:30DATE

0.99+

two thingsQUANTITY

0.99+

a dayQUANTITY

0.99+

OneQUANTITY

0.99+

third dayQUANTITY

0.98+

this weekDATE

0.98+

three thingsQUANTITY

0.98+

two examplesQUANTITY

0.98+

threeQUANTITY

0.98+

todayDATE

0.98+

DB2TITLE

0.98+

oneQUANTITY

0.98+

12-18 monthsQUANTITY

0.97+

firstQUANTITY

0.97+

decadesQUANTITY

0.93+

terabytes a dayQUANTITY

0.93+

doubleQUANTITY

0.9+

ThinkORGANIZATION

0.88+

Vice-PresidentPERSON

0.87+

few months agoDATE

0.85+

petabyteQUANTITY

0.85+

tomorrow atDATE

0.83+

couple of weeks agoDATE

0.81+

30-50 percentQUANTITY

0.79+

DanishOTHER

0.76+

IBM Think 2018EVENT

0.75+

two pathsQUANTITY

0.73+

ThinkCOMMERCIAL_ITEM

0.72+

11DATE

0.68+

multiQUANTITY

0.68+

KubernetesTITLE

0.68+

a secondQUANTITY

0.66+

Cloud PrivateTITLE

0.62+

Cloud Private forTITLE

0.61+

Cloud Private for DataTITLE

0.61+

IBMEVENT

0.56+

CTOPERSON

0.56+

Strata ConferenceEVENT

0.55+

2018EVENT

0.54+

CubeTITLE

0.5+

CubeCOMMERCIAL_ITEM

0.45+

CubePERSON

0.27+

Daniel Hernandez, IBM | IBM Think 2018


 

>> Narrator: Live from Las Vegas It's theCUBE covering IBM Think 2018. Brought to you by IBM. >> We're back at Mandalay Bay in Las Vegas. This is IBM Think 2018. This is day three of theCUBE's wall-to-wall coverage. My name is Dave Vellante, I'm here with Peter Burris. You're watching theCUBE, the leader in live tech coverage. Daniel Hernandez is here. He's the Vice President of IBM Analytics, a CUBE alum. It's great to see you again, Daniel >> Thanks >> Dave: Thanks for coming back on >> Happy to be here. >> Big tech show, consolidating a bunch of shows, you guys, you kind of used to have your own sort of analytics show but now you've got all the clients here. How do you like it? Compare and contrast. >> IBM Analytics loves to share so having all our clients in one place, I actually like it. We're going to work out some of the kinks a little bit but I think one show where you can have a conversation around Artificial Intelligence, data, analytics, power systems, is beneficial to all of us, actually. >> Well in many respects, the whole industry is munging together. Folks focus more on workloads as opposed to technology or even roles. So having an event like this where folks can talk about what they're trying to do, the workloads they're trying to create, the role that analytics, AI, et cetera is going to play in informing those workloads. Not a bad place to get that crosspollination. What do you think? >> Daniel: Totally. You talk to a client, there are so many problems. Problems are a combination of stuff that we have to offer and analytics stuff that our friends in Hybrid Integration have to offer. So for me, logistically, I could say oh, Mike Gilfix, business process automation. Go talk to him. And he's here. That's happened probably at least a dozen times so far in not even two days. >> Alright so I got to ask, your tagline. Making data ready for AI. What does that mean? >> We get excited about amazing tech. Artificial intelligence is amazing technology. I remember when Watson beat Jeopardy. Just being inspired by all the things that I thought it could do to solve problems that matter to me. And if you look over the last many years, virtual assistants, image recognition systems that solve pretty big problems like catching bad guys are inspirational pieces of work that were inspired a lot by what we did then. And in business, it's triggered a wave of artificial intelligence can help me solve business critical issues. And I will tell you that many clients simply aren't ready to get started. And because they're not ready, they're going to fail. And so our attitude about things are, through IBM Analytics, we're going to deliver the critical capabilities you need to be ready for AI. And if you don't have that, 100% of your projects will fail. >> But how do you get the business ready to think about data differently? You can do a lot to say, the technology you need to do this looks differently but you also need to get the organization to acculturate, appreciate that their business is going to run differently as a consequence of data and what you do with it. How do you get the business to start making adjustments? >> I think you just said the magic word, the business. Which is to say, at least all the conversations I have with my customers, they can't even tell that I'm from the analytics because I'm asking them about the problems. What do you try to do? How would you measure success? What are the critical issues that you're trying to solve? Are you trying to make money, save money, those kinds of things. And by focusing on it, we can advise them then based on that how we can help. So the data culture that you're describing I think it's a fact, like you become data aware and understand the power of it by doing. You do by starting with the problems, developing successes and then iterating. >> An approach to solving problems. >> Yeah >> So that's kind of a step zero to getting data ready for AI >> Right. But in no conversation that leads to success does it ever start with we're going to do AI or machine learning, what problem are we going to solve? It's always the other way around. And when we do that, our technology then is easily explainable. It's like okay, you want to build a system for better customer interactions in your call center. Well, what does that mean? You need data about how they have interacted with you, products they have interacted with, you might want predictions that anticipate what their needs are before they tell you. And so we can systematically address them through the capabilities we've got. >> Dave, if I could amplify one thing. It makes the technology easier when you put it in these constants I think that's a really crucial important point. >> It's super simple. All of us have had to have it, if we're in technology. Going the other way around, my stuff is cool. Here's why it's cool. What problems can you solve? Not helpful for most of our clients. >> I wonder if you could comment on this Daniel. I feel like we're, the last ten years about cloud mobile, social, big data. We seem to be entering an era now of sense, speak, act, optimize, see, learn. This sort of pervasive AI, if you will. How- is that a reasonable notion, that we're entering that era, and what do you see clients doing to take advantage of that? What's their mindset like when you talk to them? >> I think the evidence is there. You just got to look around the show and see what's possible, technically. The Watson team has been doing quite a bit of stuff around speech, around image. It's fascinating tech, stuff that feels magical to me. And I know how this stuff works and it still feels kind of fascinating. Now the question is how do you apply that to solve problems. I think it's only a matter of time where most companies are implementing artificial intelligence systems in business critical and core parts of their processes and they're going to get there by starting, by doing what they're already doing now with us, and that is what problem am I solving? What data do I need to get that done? How do I control and organize that information so I can exploit it? How can I exploit machine learning and deep learning and all these other technologies to then solve that problem. How do I measure success? How do I track that? And just systematically running these experiments. I think that crescendos to a critical mass. >> Let me ask you a question. Because you're a technologist and you said it's amazing, it's like magic even to you. Imagine non technologists, what `it's like to me. There's a black box component of AI, and maybe that's okay. I'm just wondering if that's, is that a headwind, are clients comfortable with that? If you have to describe how you really know it's a cat. I mean, I know a cat when I see it. And the machine can tell me it's a cat, or not a hot dog Silicon Valley reference. (Peter laughs) But to tell me actually how it works, to figure that out there's a black box component. Does that scare people? Or are they okay with that? >> You've probably given me too much credit. So I really can't explain how all that just works but what I can tell you is how certainly, I mean, lets take regulated industries like banks and insurance companies that are building machine learning models throughout their enterprise. They've got to explain to a regulator that they are offering considerations around anti discriminatory, basically they're not buying systems that cause them to do things that are against the law, effectively. So what are they doing? Well, they're using tools like ones from IBM to build these models to track the process of creating these models which includes what data they used, how that training was done, prove that the inputs and outputs are not anti-discriminatory and actually go through their own internal general counsel and regulators to get it done. So whether you can explain the model in this particular case doesn't matter. What they're trying to prove is that the effect is not violating the law, which the tool sets and the process around those tool sets allow you to get that done today. >> Well, let me build on that because one of the ways that it does work is that, as Ginni said yesterday, Ginni Rometty said yesterday that it's always going to be a machine human component to it. And so the way it typically works is a machine says I think this is a cat and a human validates it or not. The machine still doesn't really know if it's a cat but coming back to this point, one of the key things that we see anyway, and one of the advantages that IBM likely has, is today the folks running Operational Systems, the core of the business, trust their data sources. >> Do they? >> They trust their DB2 database, they trust their Oracle database, they trust the data that's in the applications. >> Dave: So it's the data that's in their Data Lake? >> I'm not saying they do but that's the key question. At what point in time, and I think the real important part of your question is, at what point in time do the hardcore people allow AI to provide a critical input that's going to significantly or potentially dramatically change the behavior of the core operational systems. That seems a really crucial point. What kind of feedback do you get from customers as you talk about turning AI from something that has an insight every now and then to becoming effectively, an element or essential to the operation of the business? >> One of the critical issues in getting especially machine learning models, integrated in business critical processes and workflows is getting those models running where that work is done. So if you look, I mean, when I was here last time I was talking about the, we were focused on portfolio simplification and bringing machine learning where the data was. We brought machine learning to private cloud, we brought it onto Gadook, we brought it on mainframe. I think it is a critical necessary ingredient that you need to deliver that outcome. Like, bring that technology where the data is. Otherwise it just won't work. Why? As soon as you move, you've got latency. As soon as you move, you've got data quality issues you're going to have contending. That's going to exacerbate whatever mistrust you might have. >> Or the stuff's not cheap to move. It's not cheap to ingest. >> Yeah. By the way, the Machine Learning on Z offering that we launched last year in March, April was one of our highest, most successful offerings last year. >> Let's talk about some of the offerings. I mean, at the end of the day you're in the business of selling stuff. You've talked about Machine Learning on Z X, whatever platform. Cloud Private, I know you've got perspectives on that. Db2 Event Store is something that you're obviously familiar with. SPSS is part of the portfolio. >> 50 year, the anniversary. >> Give us the update on some of these products. >> Making data ready for AI requires a design principled on simplicity. We launched in January three core offerings that help clients benefit from the capability that we deliver to capture data, to organize and control that data and analyze that data. So we delivered a Hybrid Data Management offering which gives you everything you need to collect data, it's anchored by Db2. We have the Unified Governance and Integration portfolio that gives you everything you need to organize and control that data as anchored by our information server product set. And we've got our Data Science and Businesses Analytics portfolio, which is anchored by our data science experience, SPSS and Cognos Analytics portfolio. So clients that want to mix and match those capabilities in support of artificial intelligence systems, or otherwise, can benefit from that easily. We just announced here a radical- an even radical step forward in simplification, which we thought that there already was. So if you want to move to the public cloud but can't, don't want to move to the public cloud for whatever reason and we think, by the way, public cloud for workload to like, you should try to run as much as you can there because the benefits of it. But if for whatever reason you can't, we need to deliver those benefits behind the firewall where those workloads are. So last year the Hybrid Integration team led by Denis Kennelly, introduced an IBM cloud private offering. It's basically application paths behind the firewall. It's like run on a Kubernetes environment. Your applications do buildouts, do migrations of existing workloads to it. What we did with IBM Cloud Private for data is have the data companion for that. IBM Cloud Private was a runaway success for us. You could imagine the data companion to that just being like, what application doesn't need data? It's peanut butter and jelly for us. >> Last question, oh you had another point? >> It's alright. I wanted to talk about Db2 and SPCC. >> Oh yes, let's go there, yeah. >> Db2 Event Store, I forget if anybody- It has 100x performance improvement on Ingest relative to the current state of the order. You say, why does that matter? If you do an analysis or analytics, machine learning, artificial intelligence, you're only as good as whatever data you have captured of your, whatever your reality is. Currently our databases don't allow you to capture everything you would want. So Db2 Event Store with that Ingest lets you capture more than you could ever imagine you would want. 250 billion events per year is basically what it's rated at. So we think that's a massive improvement in database technology and it happens to be based in open source, so the programming model is something that developers feel is familiar. SPSS is celebrating it's 50th year anniversary. It's the number one digital offering inside of IBM. It had 510,000 users trying it out last year. We just renovated the user experience and made it even more simple on stats. We're doing the same thing on Modeler and we're bringing SPSS and our data science experience together so that there's one tool chain for data science end to end in the Private Cloud. It's pretty phenomenal stuff. >> Okay great, appreciate you running down the portfolio for us. Last question. It's kind of a, get out of your telescope. When you talk to clients, when you think about technology from a technologist's perspective, how far can we take machine intelligence? Think 20 plus years, how far can we take it and how far should we take it? >> Can they ever really know what a cat is? (chuckles) >> I don't know what the answer to that question is, to be honest. >> Are people asking you that question, in the client base? >> No. >> Are they still figuring out, how do I apply it today? >> Surely they're not asking me, probably because I'm not the smartest guy in the room. They're probably asking some of the smarter guys-- >> Dave: Well, Elon Musk is talking about it. Stephen Hawking was talking about it. >> I think it's so hard to anticipate. I think where we are today is magical and I couldn't have anticipated it seven years ago, to be honest, so I can't imagine. >> It's really hard to predict, isn't it? >> Yeah. I've been wrong on three to four year horizons. I can't do 20 realistically. So I'm sorry to disappoint you. >> No, that's okay. Because it leads to my real last question which is what kinds of things can machines do that humans can't and you don't even have to answer this, but I just want to put it out there to the audience to think about how are they going to complement each other. How are they going to compete with each other? These are some of the big questions that I think society is asking. And IBM has some answers, but we're going to apply it here, here and here, you guys are clear about augmented intelligence, not replacing. But there are big questions that I think we want to get out there and have people ponder. I don't know if you have a comment. >> I do. I think there are non obvious things to human beings, relationships between data that's expressing some part of your reality that a machine through machine learning can see that we can't. Now, what does it mean? Do you take action on it? Is it simply an observation? Is it something that a human being can do? So I think that combination is something that companies can take advantage of today. Those non obvious relationships inside of your data, non obvious insights into your data is what machines can get done now. It's how machine learning is being used today. Is it going to be able to reason on what to do about it? Not yet, so you still need human beings in the middle too, especially when you deal with consequential decisions. >> Yeah but nonetheless, I think the impact on industry is going to be significant. Other questions we ask are retail stores going to be the exception versus the normal. Banks lose control of the payment systems. Will cyber be the future of warfare? Et cetera et cetera. These are really interesting questions that we try and cover on theCUBE and we appreciate you helping us explore those. Daniel, it's always great to see you. >> Thank you, Dave. Thank you, Peter. >> Alright keep it right there buddy, we'll be back with our next guest right after this short break. (electronic music)

Published Date : Mar 21 2018

SUMMARY :

Brought to you by IBM. It's great to see you again, Daniel How do you like it? bit but I think one show where you can have a is going to play in informing those workloads. You talk to a client, Alright so I got to ask, your tagline. And I will tell you that many clients simply appreciate that their business is going to run differently I think you just said the magic word, the business. But in no conversation that leads to success when you put it in these constants What problems can you solve? entering that era, and what do you see Now the question is how do you apply that to solve problems. If you have to describe how you really know it's a cat. So whether you can explain the model in this Well, let me build on that because one of the the applications. What kind of feedback do you get from customers That's going to exacerbate whatever mistrust you might have. Or the stuff's not cheap to move. that we launched last year in March, April I mean, at the end of the day you're in to like, you should try to run as much as you I wanted to talk about Db2 and SPCC. So Db2 Event Store with that Ingest lets you capture When you talk to clients, when you think about is, to be honest. I'm not the smartest guy in the room. Dave: Well, Elon Musk is talking about it. I think it's so hard to anticipate. So I'm sorry to disappoint you. How are they going to compete with each other? I think there are non obvious things to industry is going to be significant. with our next guest right after this short break.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Peter BurrisPERSON

0.99+

Dave VellantePERSON

0.99+

DanielPERSON

0.99+

Daniel HernandezPERSON

0.99+

Mike GilfixPERSON

0.99+

IBMORGANIZATION

0.99+

GinniPERSON

0.99+

Ginni RomettyPERSON

0.99+

PeterPERSON

0.99+

Denis KennellyPERSON

0.99+

DavePERSON

0.99+

JanuaryDATE

0.99+

Stephen HawkingPERSON

0.99+

yesterdayDATE

0.99+

Elon MuskPERSON

0.99+

last yearDATE

0.99+

100xQUANTITY

0.99+

20 plus yearsQUANTITY

0.99+

100%QUANTITY

0.99+

Mandalay BayLOCATION

0.99+

510,000 usersQUANTITY

0.99+

MarchDATE

0.99+

todayDATE

0.99+

50 yearQUANTITY

0.99+

Db2ORGANIZATION

0.99+

Las VegasLOCATION

0.99+

IBM AnalyticsORGANIZATION

0.99+

seven years agoDATE

0.98+

oneQUANTITY

0.98+

OneQUANTITY

0.98+

Z XTITLE

0.98+

20QUANTITY

0.98+

threeQUANTITY

0.98+

SPSSTITLE

0.98+

AprilDATE

0.96+

IBM AnalyticsORGANIZATION

0.96+

GadookORGANIZATION

0.96+

Silicon ValleyLOCATION

0.94+

two daysQUANTITY

0.94+

OracleORGANIZATION

0.92+

SPCCORGANIZATION

0.92+

DB2TITLE

0.9+

four yearQUANTITY

0.9+

one placeQUANTITY

0.89+

VegasLOCATION

0.89+

KubernetesTITLE

0.87+

SPSSORGANIZATION

0.86+

JeopardyORGANIZATION

0.86+

50th year anniversaryQUANTITY

0.86+

WatsonPERSON

0.82+

at least a dozen timesQUANTITY

0.82+

Db2 Event StoreTITLE

0.8+

theCUBEORGANIZATION

0.8+

intelligenceEVENT

0.79+

step zeroQUANTITY

0.78+

one toolQUANTITY

0.77+

250 billion events per yearQUANTITY

0.76+

three core offeringsQUANTITY

0.75+

one thingQUANTITY

0.7+

Db2 EventORGANIZATION

0.68+

Vice PresidentPERSON

0.68+

IngestORGANIZATION

0.68+