Warren Jackson, Dell Technologies & Scott Waller, CTO, 5G Open Innovation Lab | MWC Barcelona 2023
>> Narrator: theCUBE's live coverage is made possible by funding from Dell Technologies. Creating technologies that drive human progress. (upbeat music) >> Hey, welcome back to the Fira in Barcelona. My name is Dave Vellante. I'm here with David Nicholson, day four of MWC '23. Show's winding down a little bit, but it's still pretty packed here. Lot of innovation, planes, trains, automobiles, and we're talking 5G all week, private networks, connected breweries. It's super exciting. Really happy to have Warren Jackson here as the Edge Gateway Product Technologist at Dell Technologies, and Scott Waller, the CTO of the 5G Open Innovation Lab. Folks, welcome to theCUBE. >> Good to be here. >> Really interesting stories that we're going to talk about. Let's start, Scott, with you, what is the Open Innovation Lab? >> So it was hatched three years ago. Ideated about a bunch of guys from Microsoft who ran startup ventures program, started the developers program over at Microsoft, if you're familiar with MSDN. And they came three years ago and said, how does CSPs working with someone like T-Mobile who's in our backyard, I'm from Seattle. How do they monetize the edge? You need a developer ecosystem of applications and use cases. That's always been the thing. The carriers are building the networks, but where's the ecosystem of startups? So we built a startup ecosystem that is sponsored by partners, Dell being one sponsor, Intel, Microsoft, VMware, Aspirant, you name it. The enterprise folks who are also in the connectivity business. And with that, we're not like a Y Combinator or a Techstars where it's investment first and it's all about funding. It's all about getting introductions from a startup who might have a VR or AI type of application or observability for 5G slicing, and bring that in front of the Microsoft's of the world, or the Intel's and the Dell's of the world that they might not have the capabilities to do it because they're still a small little startup with an MVP. So we really incubate. We're the connectors and build a network. We've had 101 startups over the last three years. They've raised over a billion dollars. And it's really valuable to our partners like T-Mobile and Dell, et cetera, where we're bringing in folks like Expedo and GenXComm and Firecell. Start up private companies that are around here they were cohorts from our program in the past. >> That's awesome because I've often, I mean, I've seen Dell get into this business and I'm like, wow, they've done a really good job of finding these guys. I wonder what the pipeline is. >> We're trying to create the pipeline for the entire industry, whether it's 5G on the edge for the CSPs, or it's for private enterprise networks. >> Warren, what's this cool little thing you got here? >> Yeah, so this is very unique in the Dell portfolio. So when people think of Dell, they think of servers laptops, et cetera. But what this does is it's designed to be deployed at the edge in harsh environments and it allows customers to do analytics, data collection at the edge. And what's unique about it is it's got an extended temperature range. There's no fan in this and there's lots of ports on it for data ingestion. So this is a smaller box Edge Gateway 3200. This is the product that we're using in the brewery. And then we have a bigger brother of this, the Edge Gateway 5200. So the value of it, you can scale depending on what your edge compute requirements are at the edge. >> So tell us about the brewery story. And you covered it, I know you were in the Dell booth, but it's basically an analog brewery. They're taking measurements and temperatures and then writing it down and then entering it in and somebody from your company saw it and said, "We can help you with this problem." Explain the story. >> Yeah, so Scott and I did a walkthrough of the brewery back in November timeframe. >> It's in Framingham, Mass. >> Framingham, Mass, correct. And basically, we talked to him, and we said, what keeps you guys up at night? What's a problem that we can solve? Very simple, a kind of a lower budget, didn't have a lot money to spend on it, but what problem can we solve that will realize great benefit for you? So we looked at their fermentation process, which was completely analog. Somebody was walking around with a clipboard looking at analog gauges. And what we did is we digitized that process. So what this did for them rather than being completely reactive, and by the time they realized there was something going wrong with the fermentation process, it's too late. A batch of scrap. This allowed them to be proactive. So anytime, anywhere on the tablet or a phone, they can see if that fermentation process is going out of range and do something about it before the batch gets scrapped. >> Okay. Amazing. And Scott, you got a picture of this workflow here? >> Yeah, actually this is the final product. >> Explain that. >> As Warren mentioned, the data is actually residing in the industrial side of the network So we wanted to keep the IT/OT separation, which is critical on the factory floor. And so all the data is brought in from the sensors via digital connection once it's converted and into the edge gateway. Then there's a snapshot of it using Telit deviceWISE, their dashboarding application, that is decoding all the digital readings, putting them in a nice dashboard. And then when we gave them, we realized another problem was they're using cheap little Chromebooks that they spill beer on once a week and throw them out. That's why they bought the cheap ones 'cause they go through them so fast. So we got a Dell Latitude Rugged notebook. This is a brand new tablet, but they have the dashboarding software. So no matter if they're out there on the floor, but because the data resides there on the factory they have access to be able to change the parameters. This one's in the maturation cycle. This one's in the crashing cycle where they're bringing the temperature back down, stopping the fermentation process, getting it ready to go to the canning side of the house. >> And they're doing all that from this dashboard. >> They're doing all from the dashboard. They also have a giant screen that we put up there that in the floor instead of walking a hundred yards back behind a whole bunch of machinery equipment from a safety perspective, now they just look up on the screen and go, "Oh, that's red. That's out of range." They're actually doing a bunch of cleaning and a bunch of other things right now, too. So this is real time from Boston. >> Dave: Oh okay. >> Scott: This is actually real time from Boston. >> I'm no hop master, but I'm looking at these things flashing at me and I'm thinking something's wrong with my beer. >> We literally just lit this up last week. So we're still tweaking a few things, but they're also learning around. This is a new capability they never had. Oh, we have the ability to alert and monitor at different processes with different batches, different brews, different yeast types. Then now they're also training and learning. And we're going to turn that into eventually a product that other breweries might be able to use. >> So back to the kind of nuts and bolts of the system. The device that you have here has essentially wifi antennas on the back. >> Warren: Correct. >> Pull that up again if you would, please. >> Now I've seen this, just so people are clear, there are also paddle 5G antennas that go on the other side. >> Correct. >> That's sort of the connection from the 5G network that then gets transmogrified, technical term guys, into wifi so the devices that are physically connected to the brew vats, don't know what they're called. >> Fermentation tanks. >> Fermentation tanks, thank you. Those are wifi. That's a wifi signal that's going into this. Is that correct? >> Scott: No. >> No, it's not. >> It's a hard wire. >> Okay, okay. >> But, you're right. This particular gateway. >> It could be wifi if it's hard wire. >> It could be, yes. Could be any technology really. >> This particular gateway is not outfitted with 5G, but something that was very important in this application was to isolate the IT network, which is on wifi and physically connected from the OT network, which is the 5G connection. So we're sending the data directly from the gateway up to the cloud. The two partners that we worked with on this project were ifm, big sensor manufacturer that actually did the wired sensors into an industrial network called IO-Link. So they're physically wired into the gateway and then in the gateway we have a solution from our partner Telit that has deviceWISE software that actually takes the data in, runs the analytics on it, the logic, and then visualizes that data locally on those panels and also up to their cloud, which is what we're looking at. So they can look at it locally, they're in the plant and then up in the cloud on a phone or a tablet, whatever, when they're at home. >> We're talking about a small business here. I don't know how many employees they have, but it's not thousands. And I love that you're talking about an IT network and an OT network. And so they wanted, it is very common when we talk about industrial internet of things use cases, but we're talking about a tiny business here. >> Warren: Correct. >> They wanted to separate those networks because of cost, because of contention. Explain why. >> Yeah, just because, I mean, they're running their ERP system, their payroll, all of their kind of the way they run their business on their IT network and you don't want to have the same traffic out on the factory floor on that network, so it was pretty important. And the other thing is we really, one of the things that we didn't want to do in this project is interrupt their production process at all. So we installed this entire system in two days. They didn't have to shut down, they didn't have to stop. We didn't have to interrupt their process at all. It was like we were invisible there and we spun the thing up and within two days, very simple, easy, but tremendous value for their business. >> Talk about new markets here. I mean, it's like any company that's analog that needs to go digital. It's like 99% of the companies on the planet. What are you guys seeing out there in terms of the types of examples beyond breweries? >> Yeah, I could talk to that. So I spent a lot of time over the last couple years running my own little IoT company and a lot of it being in agriculture. So like in Washington state, 70% of the world's hops is actually grown in Washington state. It's my hometown. But in the Ag producing regions, there's lack of connectivity. So there's interest in private networks because the carriers aren't necessarily deploying it. But because we have the vast amount of hops there's a lot of IPAs, a lot of hoppy IPAs that come out of Seattle. And with that, there's a ton of craft breweries that are about the same size, some are a little larger. Anheuser-Busch and InBev and Heineken they've got great IoT platforms. They've done it. They're mass scale, they have to digitize. But the smaller shops, they don't, when we talk about IT/OT separation, they're not aware of that. They think it's just, I get local broadband and I get wifi and one hotspot inside my facility and it works. So a little bit of it was the education. I have got years in IT/OT security in my background so that education and we come forward with a solution that actually does that for them. And now they're aware of it. So now when they're asking questions of other vendors that are trying to sell them some type of solution, they're inherently aware of what should be done so they're not vulnerable to ransomware attacks, et cetera. So it's known as the Purdue Model. >> Well, what should they do? >> We came in and keep it completely separated and educated them because in the end too we'll build a design guide and a starter kit out of this that other brewers can use. Because I've toured dozens of breweries in Washington, the exact same scenario, analog gauges, analog process, very manual. And in the end, when you ask the brewer, what do they want out of this? It keeps them up at night because if the temperature goes out of range, because the chiller fails, >> They ruined. >> That's $30,000 lost in beer. That's a lot to a small business. However, it's also once they start digitizing the data and to Warren's point, it's read-only. We're not changing any of the process. We augmented on top of their existing systems. We didn't change their process. But now they have the ability to look at the data and see batch to batch consistency. Quality doesn't always mean best, it means consistency from batch to batch. Every beer from exhibit A from yesterday to two months from now of the same style of beer should be the same taste, flavor, boldness, et cetera. This is giving them the insights on it. >> It's like St. Louis Buds, when we were kids. We would buy the St. Louis Buds 'cause they tasted better than the Merrimack Buds. And then Budweiser made them all the same. >> Must be an East coast thing. >> It's an old guy thing, Dave. You weren't born yet. >> I was in high school. Yeah, I was in high school. >> We like the hops. >> We weren't 21. Do me a favor, clarify OT versus IT. It's something we talk about all the time, but not everyone's familiar with that separation. Define OT for me. >> It's really the factory floor. You got IT systems that are ERP systems, billing, you're getting your emails, stuff like that. Where the ransomware usually gets infected in. The OT side is the industrial control network. >> David: What's the 'O' stand for? >> Operation. >> David: Operation? >> Yeah, the operations side. >> 'Cause some people will think objects 'cause we think internet of things. >> The industrial operations, think of it that way. >> But in a sense those are things that are connected. >> And you think of that as they are the safety systems as well. So a machine, if someone doesn't push the stop button, you'd think if there's a lot of traffic on that network, it isn't guaranteed that that stop button actually stops that blade from coming down, someone's going to lose their arm. So it's very tied to safety, reliability, low latency. It is crafted in design that it never touches the internet inherently without having to go through a security gateway which is what we did. >> You mentioned the large companies like InBev, et cetera. You're saying they're already there. Are they not part of your target market? Or are there ways that you can help them? Is this really more of a small to mid-size company? >> For this particular solution, I think so, yeah. Because the cost to entry is low. I mean, you talk about InBev, they have millions of dollars of budgets to spend on OT. So they're completely automated from top to bottom. But these little craft brewers, which they're everywhere in the US. Vermont, Washington state, they're completely manual. A lot of these guys just started in their garage. And they just scaled up and they got a cult kind of following around their beers. One thing that we found here this week, when you talk around edge and 5G and beer, those things get people excited. In our booth we're serving beer, and all these kind of topics, it brings people together. >> And it lets the little guy compete more effectively with the big giants. >> Correct. >> And how do you do more with less as the little guy is kind of the big thing and to Warren's point, we have folks come up and say, "Great, this is for beer, but what about wine? What about the fermentation process of wine?" Same materials in the end. A vessel of some sort, maybe it's stainless steel. The clamps are the same, the sensors are the same. The parameters like temperature are key in any type of fermentation. We had someone talking about olive oil and using that. It's the same sanitary beverage style equipment. We grabbed sensors that were off the shelf and then we integrated them in and used the set of platforms that we could. How do we rapidly enable these guys at the lowest possible cost with stuff that's at the shelf. And there's four different companies in the solution. >> We were having a conversation with T-Mobile a little earlier and she mentioned the idea of this sounding scary. And this is a great example of showing that in fact, at a relatively small scale, this technology makes a lot of sense. So from that perspective, of course you can implement private 5G networks at an industrial scale with tens of millions of dollars of investment. But what about all of the other things below? And that seems to be a perfect example. >> Yeah, correct. And it's one of the things with the gateway and having flexibility the way Dell did a great job of putting really good modems in it. It had a wide spectrum range of what bands they support. So being able to say, at a larger facility, I mean, if Heineken wants to deploy something like this, oh, heck yeah, they probably could do it. And they might have a private 5G network, but let's say T-Mobile offers a private offering on their public via a slice. It's easy to connect that radio to it. You just change the sims. >> Is that how the CSPs fit here? How are they monetized? >> Yeah, correct. So one of our partners is T-Mobile and so we're working with them. We've got other telco partners that are coming on board in our lab. And so we'll do the same thing. We're going to take this back and put it in the lab and offer it up as others because the baseline building blocks or Lego blocks per se can be used in a bunch of different industries. It's really that starter point of giving folks the idea of what's possible. >> So small manufacturing, agriculture you mentioned, any other sort of use cases we should tune into? >> I think it's environmental monitoring, all of that stuff, I see it in IoT deployments all over the world. Just the simple starter kits 'cause a farmer doesn't want to get sold a solution, a platform, where he's got to hire a bunch of coders and partner with the big carriers. He just wants something that works. >> Another use case that we see a lot, a high cost in a lot of these places is the cost of energy. And a lot of companies don't know what they're spending on electricity. So a very simple energy monitoring system like that, it's a really good ROI. I'm going to spend five or $10,000 on a system like this, but I'm going to save $20,000 over a year 'cause I'm able to see, have visibility into that data. That's a lot of what this story's about, just giving visibility into the process. >> It's very cool, and like you said, it gets people excited. Is it a big market? How do you size it? Is it a big TAM? >> Yeah, so one thing that Dell brings to the table in this space is people are buying their laptops, their servers and whatnot from Dell and companies are comfortable in doing business with Dell because of our model direct to customer and whatnot. So our ability to bring a device like this to the OT space and have them have that same user experience they have with laptops and our client products in a ruggedized solution like this and bring a lot of partners to the table makes it easy for our customers to implement this across all kinds of industries. >> So we're talking to billions, tens of billions. Do we know how big this market is? What's the TAM? I mean, come on, you work for Dell. You have to do a TAM analysis. >> Yes, no, yeah. I mean, it really is in the billions. The market is huge for this one. I think we just tapped into it. We're kind of focused in on the brewery piece of it and the liquor piece of it, but the possibilities are endless. >> Yeah, that's tip of the spear. Guys, great story. >> It's scalable. I think the biggest thing, just my final feedback is working and partnering with Dell is we got something as small as this edge gateway that I can run a Packet Core on and run a 5G standalone node and then have one of the small little 5G radios out there. And I've got these deployed in a farm. Give the farmer an idea of what's possible, give him a unit on his tractor, and now he can do something that, we're providing connectivity he had never had before. But as we scale up, we've got the big brother to this. When we scale up from that, we got the telco size units that we can put. So it's very scalable. It's just a great suite of offerings. >> Yeah, outstanding. Guys, thanks for sharing the story. Great to have you on theCUBE. >> Good to be with you today. >> Stop by for beer later. >> You know it. All right, Dave Vellante for Dave Nicholson and the entire CUBE team, we're here live at the Fira in Barcelona MWC '23 day four. Keep it right there. (upbeat music)
SUMMARY :
that drive human progress. and Scott Waller, the CTO of that we're going to talk about. the capabilities to do it of finding these guys. for the entire industry, So the value of it, Explain the story. of the brewery back in November timeframe. and by the time they realized of this workflow here? is the final product. and into the edge gateway. that from this dashboard. that in the floor instead Scott: This is actually and I'm thinking something's that other breweries might be able to use. nuts and bolts of the system. Pull that up again that go on the other side. so the devices that are Is that correct? This particular gateway. if it's hard wire. It could be, yes. that actually takes the data in, And I love that you're because of cost, because of contention. And the other thing is we really, It's like 99% of the that are about the same size, And in the end, when you ask the brewer, We're not changing any of the process. than the Merrimack Buds. It's an old guy thing, Dave. I was in high school. It's something we talk about all the time, It's really the factory floor. 'cause we think internet of things. The industrial operations, But in a sense those are doesn't push the stop button, You mentioned the large Because the cost to entry is low. And it lets the little is kind of the big thing and she mentioned the idea And it's one of the of giving folks the all over the world. places is the cost of energy. It's very cool, and like you and bring a lot of partners to the table What's the TAM? and the liquor piece of it, Yeah, that's tip of the spear. got the big brother to this. Guys, thanks for sharing the story. and the entire CUBE team,
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
David Nicholson | PERSON | 0.99+ |
Dave Nicholson | PERSON | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
Scott | PERSON | 0.99+ |
Warren | PERSON | 0.99+ |
T-Mobile | ORGANIZATION | 0.99+ |
$30,000 | QUANTITY | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
Scott Waller | PERSON | 0.99+ |
Seattle | LOCATION | 0.99+ |
Warren Jackson | PERSON | 0.99+ |
Dell | ORGANIZATION | 0.99+ |
Washington | LOCATION | 0.99+ |
Dave | PERSON | 0.99+ |
$10,000 | QUANTITY | 0.99+ |
US | LOCATION | 0.99+ |
99% | QUANTITY | 0.99+ |
David | PERSON | 0.99+ |
five | QUANTITY | 0.99+ |
InBev | ORGANIZATION | 0.99+ |
Dell Technologies | ORGANIZATION | 0.99+ |
two partners | QUANTITY | 0.99+ |
Intel | ORGANIZATION | 0.99+ |
November | DATE | 0.99+ |
Anheuser-Busch | ORGANIZATION | 0.99+ |
yesterday | DATE | 0.99+ |
Telit | ORGANIZATION | 0.99+ |
70% | QUANTITY | 0.99+ |
Boston | LOCATION | 0.99+ |
one | QUANTITY | 0.99+ |
Barcelona | LOCATION | 0.99+ |
101 startups | QUANTITY | 0.99+ |
Heineken | ORGANIZATION | 0.99+ |
GenXComm | ORGANIZATION | 0.99+ |
Expedo | ORGANIZATION | 0.99+ |
thousands | QUANTITY | 0.99+ |
last week | DATE | 0.99+ |
5G Open Innovation Lab | ORGANIZATION | 0.99+ |
three years ago | DATE | 0.99+ |
billions | QUANTITY | 0.99+ |
Aspirant | ORGANIZATION | 0.98+ |
this week | DATE | 0.98+ |
Firecell | ORGANIZATION | 0.98+ |
VMware | ORGANIZATION | 0.98+ |
MWC '23 | EVENT | 0.98+ |
two days | QUANTITY | 0.98+ |
today | DATE | 0.98+ |
four different companies | QUANTITY | 0.98+ |
Edge Gateway 5200 | COMMERCIAL_ITEM | 0.98+ |
Open Innovation Lab | ORGANIZATION | 0.98+ |
millions of dollars | QUANTITY | 0.97+ |
telco | ORGANIZATION | 0.97+ |
CUBE | ORGANIZATION | 0.97+ |
over a billion dollars | QUANTITY | 0.97+ |
Manu Parbhakar, AWS & Joel Jackson, Red Hat | AWS re:Invent 2022
>>Hello, brilliant humans and welcome back to Las Vegas, Nevada, where we are live from the AWS Reinvent Show floor here with the cube. My name is Savannah Peterson, joined with Dave Valante, and we have a very exciting conversation with you. Two, two companies you may have heard of. We've got AWS and Red Hat in the house. Manu and Joel, thank you so much for being here. Love this little fist bump. Started off, that's right. Before we even got rolling, Manu, you said that you wanted this to be the best segment of, of the cubes airing. We we're doing over a hundred segments, so you're gonna have to bring the heat. >>We're ready. We're did go. Are we ready? Yeah, go. We're ready. Let's bring it on. >>We're ready. All right. I'm, I'm ready. Dave's ready. Let's do it. How's the show going for you guys real quick before we dig in? >>Yeah, I think after Covid, it's really nice to see that we're back into the 2019 level and, you know, people just want to get out, meet people, have that human touch with each other, and I think a lot of trust gets built as a functional that, so it's super amazing to see our partners and customers here at Reedman. Yeah, >>And you've got a few in the house. That's true. Just a few maybe, maybe a couple >>Very few shows can say that, by the way. Yeah, it's maybe a handful. >>I think one of the things we were saying, it's almost like the entire Silicon Valley descended in the expo hall area, so >>Yeah, it's >>For a few different reasons. There's a few different silicon defined. Yeah, yeah, yeah. Don't have strong on for you. So far >>It's, it's, it is amazing. It's the 10th year, right? It's decade, I think I've been to five and it's, it grows every single year. It's the, you have to be here. It's as simple as that. And customers from every single industry are here too. You don't get, a lot of shows have every single industry and almost every single location around the globe. So it's, it's a must, must be >>Here. Well, and the personas evolved, right? I was at reinvent number two. That was my first, and it was all developers, not all, but a lot of developers. And today it's a business mix, really is >>Totally, is a business mix. And I just, I've talked about it a little bit down the show, but the diversity on the show floor, it's the first time I've had to wait in line for the ladies' room at a tech conference. Almost a two decade career. It is, yeah. And it was really refreshing. I'm so impressed. So clearly there's a commitment to community, but also a commitment to diversity. Yeah. And, and it's brilliant to see on the show floor. This is a partnership that is robust and has been around for a little while. Money. Why don't you tell us a little bit about the partnership here? >>Yes. So Red Hand and AWS are best friends, you know, forever together. >>Aw, no wonder we got the fist bumps and all the good vibes coming out. I know, it's great. I love that >>We have a decade of working together. I think the relationship in the first phase was around running rail bundled with E two. Sure. We have about 70,000 customers that are running rail, which are running mission critical workloads such as sap, Oracle databases, bespoke applications across the state of verticals. Now, as more and more enterprise customers are finally, you know, endorsing and adopting public cloud, I think that business is just gonna continue to grow. So a, a lot of progress there. The second titration has been around, you know, developers tearing Red Hat and aws, Hey, listen, we wanna, it's getting competitive. We wanna deliver new features faster, quicker, we want scale and we want resilience. So just entire push towards devs containers. So that's the second chapter with, you know, red Hat OpenShift on aws, which launched as a, a joint manage service in 2021 last year. And I think the third phase, which you're super excited about, is just bringing the ease of consumption, one click deployment, and then having our customers, you know, benefit from the joint committed spend programs together. So, you know, making sure that re and Ansible and JBoss, the entire portfolio of Red Hat products are available on AWS marketplace. So that's the 1, 2, 3, it of our relationship. It's a decade of working together and, you know, best friends are super committed to making sure our customers and partners continue successful. >>Yeah, that he said it, he said it perfectly. 2008, I know you don't like that, but we started with Rel on demand just in 2008 before E two even had a console. So the partnership has been there, like Manu says, for a long time, we got the partnership, we got the products up there now, and we just gotta finalize that, go to market and get that gas on the fire. >>Yeah. So Graviton Outpost, local zones, you lead it into all the new stuff. So that portends, I mean, 2008, we're talking two years after the launch of s3. >>That's right. >>Right. So, and now look, so is this a harbinger of things to come with these new innovations? >>Yeah, I, I would say, you know, the innovation is a key tenant of our partnership, our relationship. So if you look at from a product standpoint, red Hat or Rel was one of the first platforms that made a support for graviton, which is basically 40% better price performance than any other distribution. Then that translated into making sure that Rel is available on all of our regions globally. So this year we launched Switzerland, Spain, India, and Red Hat was available on launch there, support for Nitro support for Outpost Rosa support on Outpost as well. So I think that relationship, that innovation on the product side, that's pretty visible. I think that innovation again then translates into what we are doing on marketplace with one click deployments we spoke about. I think the third aspect of the know innovation is around making sure that we are making our partners and our customers successful. So one of the things that we've done so far is Joe leads a, you know, a black belt team that really goes into each customer opportunity, making sure how can we help you be successful. We launched and you know, we should be able to share that on a link. After this, we launched like a big playlist, which talks about every single use case on how do you get successful and running OpenShift on aws. So that innovation on behalf of our customers partners to make them successful, that's been a key tenant for us together as >>Well. That's right. And that team that Manu is talking about, we're gonna, gonna 10 x that team this year going into January. Our fiscal yield starts in January. Love that. So yeah, we're gonna have a lot of no hiring freeze over here. Nope. No ma'am. No. Yeah, that's right. Yeah. And you know what I love about working with aws and, and, and Manu just said it very, all of that's customer driven. Every single event that we, that he just talked about in that timeline, it's customer driven, right? Customers wanted rail on demand, customers want JBoss up in the cloud, Ansible this week, you know, everything's up there now. So it's just getting that go to market tight and we're gonna, we're gonna get that done. >>So what's the algorithm for customer driven in terms of taking the input? Because if every customers saying, Hey, I this a >>Really similar >>Question right up, right? I, that's what I want. And if you know, 95% of the customers say it, Jay, maybe that's a good idea. >>Yeah, that's right. Trends. But >>Yeah. You know, 30% you might be like, mm, you know, 20%, you know, how do you guys decide when to put gas on the fire? >>No, that, I think, as I mentioned, there are about 70,000 large customers that are running rail on Easy Two, many of these customers are informing our product strategy. So we have, you know, close to about couple of thousand power users. We have customer advisory booths, and these are the, you know, customers are informing us, Hey, let's get all of the Red Hat portfolio and marketplace support for graviton, support for Outpost. Why don't we, why are we not able to dip into the consumption committed spend programs for both Red Hat and aws? That's right. So it's these power users both at the developer level as well as the guys who are actually doing large commercial consumption. They are the ones who are informing the roadmap for both Red Hat and aws. >>But do, do you codify the the feedback? >>Yeah, I'm like, I wanna see the database, >>The, I think it was, I don't know, it was maybe Chasy, maybe it was Besos, that that data beats intuition. So do you take that information and somehow, I mean, it's global, 70,000 customers, right? And they have different weights, different spending patterns, different levels of maturity. Yeah. Do you, how do you codify that and then ultimately make the decision? Yeah, I >>If, I mean, well you, you've got the strategic advisory boards, which are made up of customers and partners and you know, you get, you get a good, you gotta get a good slice of your customer base to get, and you gotta take their feedback and you gotta do something with it, right? That's the, that's the way we do it and codify it at the product level, I'm sure open source. That's, that's basically how we work at the product level, right? The most elegant solution in open source wins. And that's, that's pretty much how we do that at the, >>I would just add, I think it's also just the implicit trust that the two companies had built with each other, working in the trenches, making our customers and partners successful over the last decade. And Alex, give an example. So that manifests itself in context of like, you know, Amazon and Red Hat just published the entire roadmap for OpenShift. What are the new features that are becoming over the next six to nine to 12 months? It's open source available on GitHub. Customers can see, and then they can basically come back and give feedback like, Hey, you know, we want hip compliance. We just launched. That was a big request that was coming from our >>Customers. That is not any process >>Also for Graviton or Nvidia instances. So I I I think it's a, >>Here's the thing, the reason I'm pounding on this is because you guys have a pretty high hit rate, and I think as a >>Customer, mildly successful company >>As, as a customer advocate, the better, you know, if, if you guys make bets that pay off, it's gonna pay off for customers. Right. And because there's a lot of failures in it. Yeah. I mean, let's face it. That's >>Right. And I think, I think you said the key word bets. You place a lot of small bets. Do you have the, the innovation engine to do that? AWS is the perfect place to place those small bets. And then you, you know, pour gas on the fire when, when they take off. >>Yeah, it's a good point. I mean, it's not expensive to experiment. Yeah. >>Especially in the managed service world. Right? >>And I know you love taking things to market and you're a go to market guy. Let's talk gtm, what's got your snow pumped about GTM for 2023? >>We, we are gonna, you know, 10 x the teams that's gonna be focused on these products, right? So we're gonna also come out with a hybrid committed spend program for our customers that meet them where they want to go. So they're coming outta the data center going into a cloud. We're gonna have a nice financial model for them to do that. And that's gonna take a lot of the friction out. >>Yeah. I mean, you've nailed it. I, I think the, the fact that now entire Red Hat portfolio is available on marketplace, you can do it on one click deployment. It's deeply integrated with Amazon services and the most important part that Joel was making now customers can double dip. They can drive benefit from the consumption committed spend programs, both from Red Hat and from aws, which is amazing. Which is a game changer That's right. For many of our large >>Customers. That's right. And that, so we're gonna, we're gonna really go to town on that next year. That's, and all the, all the resources that I have, which are the technology sellers and the sas, you know, the engineers we're growing this team the most out that team. So it's, >>When you say 10 x, how many are you at now? I'm >>Curious to see where you're headed. Tell you, okay. There's not right? Oh no, there's not one. It's triple digit. Yeah, yeah. >>Today. Oh, sweet. Awesome. >>So, and it's a very sizable team. They're actually making sure that each of our customers are successful and then really making sure that, you know, no customer left behind policy. >>And it's a great point that customers love when Amazonians and Red Hats show up, they love it and it's, they want to get more of it, and we're gonna, we're gonna give it to 'em. >>Must feel great to be loved like that. >>Yeah, that's right. Yeah. Yeah. I would say yes. >>Seems like it's safe to say that there's another decade of partnership between your two companies. >>Hope so. That's right. That's the plan. >>Yeah. And I would say also, you know, just the IBM coming into the mix here. Yeah. I, you know, red Hat has informed the way we have turned around our partnership with ibm, essentially we, we signed the strategic collaboration agreement with the company. All of IBM software now runs on Rosa. So that is now also providing a lot of tailwinds both to our rail customers and as well as Rosa customers. And I think it's a very net creative, very positive for our partnership. >>That's right. It's been very positive. Yep. Yeah. >>You see the >>Billboards positive. Yeah, right. Also that, that's great. Great point, Dave. Yep. We have a, we have a new challenge, a new tradition on the cube here at Reinvent where we're, well, it's actually kind of a glamor moment for you, depending on how you leverage it. We're looking for your 32nd hot take your Instagram reel, your sizzle thought leadership, biggest takeaway, most important theme from this year's show. I know you want, right, Joel? I mean, you TM boy, I feel like you can spit the time. >>Yeah. It is all about Rosa for us. It is all in on that, that's the native OpenShift offering on aws and that's, that's the soundbite we're going go to town with. Now, I don't wanna forget all the other products that are in there, but Rosa is a, is a very key push for us this year. >>Fantastic. All right. Manu. >>I think our customers, it's getting super competitive. Our customers want to innovate just a >>Little bit. >>The enterprise customers see the cloud native companies. I wanna do what these guys are doing. I wanna develop features at a fast clip. I wanna scale, I wanna be resilient. And I think that's really the spirit that's coming out. So to Joel's point, you know, move to worlds containers, serverless, DevOps, which was like, you know, aha, something that's happening on the side of an enterprise is not becoming mainstream. The business is demanding it. The, it is becoming the centerpiece in the business strategy. So that's been really like the aha. Big thing that's happening here. >>Yeah. And those architectures are coming together, aren't they? That's correct. Right. You know, VMs and containers, it used to be one architecture and then at the other end of the spectrum is serverless. People thought of those as different things and now it's a single architecture and, and it's kind of right approach for the right job. >>And, and a compliments say to Red Hat, they do an incredible job of hiding that complexity. Yeah. Yes. And making sure that, you know, for example, just like, make it easier for the developers to create value and then, and you know, >>Yeah, that's right. Those, they were previously siloed architectures and >>That's right. OpenShift wanna be place where you wanna run containers or virtual machines. We want that to be this Yeah. Single place. Not, not go bolt on another piece of architecture to just do one or the other. Yeah. >>And hey, the hybrid cloud vision is working for ibm. No question. You know, and it's achievable. Yeah. I mean, I just, I've said unlike, you know, some of the previous, you know, visions on fixing the world with ai, hybrid cloud is actually a real problem that you're attacking and it's showing the results. Agreed. Oh yeah. >>Great. Alright. Last question for you guys. Cause it might be kind of fun, 10 years from now, oh, we're at another, we're sitting here, we all look the same. Time has passed, but we are not aging, which is a part of the new technology that's come out in skincare. That's my, I'm just throwing that out there. Why not? What do you guys hope that you can say about the partnership and, and your continued commitment to community? >>Oh, that's a good question. You go first this time. Yeah. >>I think, you know, the, you know, for looking into the future, you need to look into the past. And Amazon has always been driven by working back from our customers. That's like our key tenant, principle number 1 0 1. >>Couple people have said that on this stage this week. Yeah. >>Yeah. And I think our partnership, I hope over the next decade continues to keep that tenant as a centerpiece. And then whatever comes out of that, I think we, we are gonna be, you know, working through that. >>Yeah. I, I would say this, I think you said that, well, the customer innovation is gonna lead us to wherever that is. And it's, it's, it's gonna be in the cloud for sure. I think we can say that in 10 years. But yeah, anything from, from AI to the quant quantum computing that IBM's really pushing behind that, you know, those are, those are gonna be things that hopefully we show up on a, on a partnership with Manu in 10 years, maybe sooner. >>Well, whatever happens next, we'll certainly be covering it here on the cube. That's right. Thank you both for being here. Joel Manu, fantastic interview. Thanks to see you guys. Yeah, good to see you brought the energy. I think you're definitely ranking high on the top interviews. We >>Love that for >>The day. >>Thank >>My pleasure >>Job, guys. Now that you're competitive at all, and thank you all for tuning in to our live coverage here from AWS Reinvent in Las Vegas, Nevada, with Dave Valante. I'm Savannah Peterson. You're watching The Cube, the leading source for high tech coverage.
SUMMARY :
Manu and Joel, thank you so much for being here. Are we ready? How's the show going for you guys real and, you know, people just want to get out, meet people, have that human touch with each other, And you've got a few in the house. Very few shows can say that, by the way. So far It's the, you have to be here. I was at reinvent number two. And I just, I've talked about it a little bit down the show, but the diversity on the show floor, you know, forever together. I love that you know, benefit from the joint committed spend programs together. 2008, I know you don't like that, but we started So that portends, I mean, 2008, we're talking two years after the launch of s3. harbinger of things to come with these new innovations? Yeah, I, I would say, you know, the innovation is a key tenant of our So it's just getting that go to market tight and we're gonna, we're gonna get that done. And if you know, 95% of the customers say it, Yeah, that's right. how do you guys decide when to put gas on the fire? So we have, you know, close to about couple of thousand power users. So do you take that information and somehow, I mean, it's global, you know, you get, you get a good, you gotta get a good slice of your customer base to get, context of like, you know, Amazon and Red Hat just published the entire roadmap for OpenShift. That is not any process So I I I think it's a, As, as a customer advocate, the better, you know, if, if you guys make bets AWS is the perfect place to place those small bets. I mean, it's not expensive to experiment. Especially in the managed service world. And I know you love taking things to market and you're a go to market guy. We, we are gonna, you know, 10 x the teams that's gonna be focused on these products, Red Hat portfolio is available on marketplace, you can do it on one click deployment. you know, the engineers we're growing this team the most out that team. Curious to see where you're headed. then really making sure that, you know, no customer left behind policy. And it's a great point that customers love when Amazonians and Red Hats show up, I would say yes. That's the plan. I, you know, red Hat has informed the way we have turned around our partnership with ibm, That's right. I mean, you TM boy, I feel like you can spit the time. It is all in on that, that's the native OpenShift offering I think our customers, it's getting super competitive. So to Joel's point, you know, move to worlds containers, and it's kind of right approach for the right job. And making sure that, you know, for example, just like, make it easier for the developers to create value and Yeah, that's right. OpenShift wanna be place where you wanna run containers or virtual machines. I mean, I just, I've said unlike, you know, some of the previous, What do you guys hope that you can say about Yeah. I think, you know, the, you know, Couple people have said that on this stage this week. you know, working through that. you know, those are, those are gonna be things that hopefully we show up on a, on a partnership with Manu Yeah, good to see you brought the energy. Now that you're competitive at all, and thank you all for tuning in to our live coverage here from
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Joel | PERSON | 0.99+ |
Savannah Peterson | PERSON | 0.99+ |
Dave Valante | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Manu | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Manu Parbhakar | PERSON | 0.99+ |
40% | QUANTITY | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Nvidia | ORGANIZATION | 0.99+ |
Joel Manu | PERSON | 0.99+ |
2021 | DATE | 0.99+ |
Two | QUANTITY | 0.99+ |
January | DATE | 0.99+ |
two companies | QUANTITY | 0.99+ |
two companies | QUANTITY | 0.99+ |
Dave | PERSON | 0.99+ |
Red Hand | ORGANIZATION | 0.99+ |
95% | QUANTITY | 0.99+ |
five | QUANTITY | 0.99+ |
third phase | QUANTITY | 0.99+ |
2019 | DATE | 0.99+ |
Joel Jackson | PERSON | 0.99+ |
Rosa | ORGANIZATION | 0.99+ |
second chapter | QUANTITY | 0.99+ |
first | QUANTITY | 0.99+ |
2008 | DATE | 0.99+ |
20% | QUANTITY | 0.99+ |
Red Hat | ORGANIZATION | 0.99+ |
30% | QUANTITY | 0.99+ |
next year | DATE | 0.99+ |
Outpost | ORGANIZATION | 0.99+ |
red Hat | ORGANIZATION | 0.99+ |
10th year | QUANTITY | 0.99+ |
Jay | PERSON | 0.99+ |
Silicon Valley | LOCATION | 0.99+ |
both | QUANTITY | 0.99+ |
10 years | QUANTITY | 0.99+ |
first phase | QUANTITY | 0.99+ |
Today | DATE | 0.99+ |
ibm | ORGANIZATION | 0.99+ |
aws | ORGANIZATION | 0.99+ |
Joe | PERSON | 0.99+ |
70,000 customers | QUANTITY | 0.99+ |
2023 | DATE | 0.99+ |
one | QUANTITY | 0.99+ |
Las Vegas, Nevada | LOCATION | 0.98+ |
Covid | PERSON | 0.98+ |
first time | QUANTITY | 0.98+ |
nine | QUANTITY | 0.98+ |
12 months | QUANTITY | 0.98+ |
10 | QUANTITY | 0.98+ |
each | QUANTITY | 0.98+ |
today | DATE | 0.98+ |
this year | DATE | 0.98+ |
about 70,000 customers | QUANTITY | 0.98+ |
Graviton | ORGANIZATION | 0.98+ |
this week | DATE | 0.97+ |
Amazonians | ORGANIZATION | 0.97+ |
third aspect | QUANTITY | 0.97+ |
Spain | LOCATION | 0.97+ |
E two | EVENT | 0.97+ |
each customer | QUANTITY | 0.97+ |
The Cube | TITLE | 0.96+ |
Keith Norbie, NetApp & Brandon Jackson, CDW | VMware Explore 2022
>>Hey everyone. Welcome back to San Francisco. Lisa Martin and Dave Nicholson here. The cube is covering VMware Explorer, 2022 first year with the new name, there's about seven to 10,000 people here. So folks are excited to be back. I was in the keynote this morning. You probably were two David. It was standing room, only lots of excitement, lots of news. We're gonna be unpacking some news. Next. We have Brandon Jackson joining us S DDC architect at CDW and Keith normy is back one of our alumni head of worldwide partner solution sales at NetApp guys. Welcome back to the program. Hey, thank >>You, reunion week. >>So let's talk about what's going on, obviously, lots of news this morning, lots of momentum at VMware, lots of momentum at NetApp CDW. Keith, we'll start with you talk about what was announced yesterday, NetApp, VMware, AWS, and what's in it for customers and partners. >>Yeah, it's a new day. I talked about this in a blog that I wrote that, you know, for me, I started out with VMware and NetApp about 15 years ago when the ecosystem was still kind of emerging back in the ESX three days, for those that remember those days and, and NetApp had a really real dominant position because some of the things that they had delivered with VMware, and we're kind of at that same venture now where everyone needs to have as they talk about today. Multi-cloud, and, and there's been some things that people try to get through as they talk about cloud chaos today. It also is in the, some of the realms, the barriers that you don't often see. So releasing this new FSX capability with the metal data store within VMware cloud, and AWS is a real big opportunity. And it's not just a big opportunity for NetApp. It's a big opportunity for the people that actually deliver this for the customers, which is our partner. So for me, it's full circle. I started with a partner I come back around and I'm now in a great position to kind of work with our partners. And they're the real story here with us. Yeah. >>Brandon, talk about the value in this from CDWs perspective, what is the momentum that your you and the company are excited to carry forward? >>Yeah, this is super exciting. I've been close to the VMware cloud AWS story since its inception. So, you know, almost four years building that practice out at CDW and it's a great solution, but we spent all this time prior driving people to that HCI type of mentality where, Hey, you can just scale the portions that you need and that wasn't available in the cloud. And although it's a great solution, there's pain points there where it just can become cost prohibitive because customers see what they need. But that storage piece is a heavy component. And when that adds to what that cluster size needs to be, that's a real problem with this announcement, right? We can now use those supplemental data stores and be able to shrink that size. So it saves the customer massive amounts of money. I mean, we have like 25, 50% in savings while without sacrificing anything, they're getting the operational efficiency that they know and love from NetApp. They get that control and that experience that they've been using or want to use in VMware cloud. And they're just combining the two in a very cost friendly package. >>So I have one comment and that is finally >>Right. Absolutely. I, >>We used to refer to it as the devil's triangle of CPU, memory and storage. And if those are, if those are inextricably linked to one another, you want a little bit more storage. Okay. Here's your CPU and memory that you can pay for and power and cool that you don't need? No, no, no, no, no, no. I just need, I just need some storage over here. And in the VMware context, think of the affinity that VMware has had with NetApp forever. The irony being that EMC of course, owned VMware for a period of time, kind of owned their stock. Yeah. So you have this thing that is fundamentally built around VMFS that just fits perfectly into the filer methodology. Yeah. And now they're back together in the cloud. And, and the thing is if, if we were, if we were sitting here talking about this 5, 6, 7 years ago, an AWS person would've said we were all crazy. Yeah, yeah. AWS at the time would've said, nah, no, no, no, no. We're gonna figure that out. You, you, you, you guys are just gonna have to go away. It's >>Not lost on me that, you know, it was great seeing and hearing of NetApp in a day, one VMware keynote. >>It's amazing. >>That was great. And so we built off that because the, the, the great thing about kind of where this comes from is, you know, you built that whole HCI or converged infrastructure for simplicity and everyone is simplicity. And so this is just another evolution of the story. And as you do, so, you know, you've, you've freed up for all the workloads, all the scenarios, all the, all the operational situations that you've wanted to kind of get into. Now, if you can save anywhere from 25 to 50% of the costs of previous, you can unleash a whole nother set of workloads and do so by the way, with same consistent operational consistency from NetApp, in terms of the data that you have on-prem to cloud, or even if you don't have NetApp, on-prem, you know, we have the ways to get it to the cloud and VMware cloud and AWS, and, and, and basically give you that data simplicity for management. >>And, but again, it isn't just a NetApp part of this. There is, as everyone knows with cloud, a whole layer of infrastructure around the security networking, there's a ton of work that gets from the partner side to look at applications and workloads and understand sort of what's the composition of those, which ones are ready for the cloud. First, you know, seeing, you know, the AWS person with the SAP title, that's a big workload. Obviously that's making this journey to the cloud, along with all the rest of them. That's what the partners deliver. NetApp has done everything they can do to make that as frictionless as possible in the marketplace as a first party service, and now through VMware cloud. So we've done all we can do on, on that factor. Now it's the partners that could take it. And by the way, the reaction that we've seen kind of in some of, of the private previews are working, has been incredible. These guys bring really the true superhero muscle to what organizations are gonna need to have to take those workloads to VMware cloud and, and evolve it into this new cloud era that they're talking about at the keynote today. >>Yeah, don't get us wrong. We love vSphere eight and vs a, a and VSAN aid in particular, but there's a huge market need for this, for what you guys are delivering. >>Talk to us, Brandon, from your perspective about being able to, to part, to, to have the powerhouses of NetApp, VMware and AWS, and in terms of being able to meet your customers where they are and what they want. >>And I, that's huge, right? That the solution allows these things to come together in a seamless way, right? So we get the, the flexibility of cloud. We get the scalability of easy storage now, in a way we didn't have before, and we get the power that's VMware, right. And in that, in the virtualization platform, and that makes it easy for a customer to say, I need to be somewhere else. And maybe that's not, that's not a colo anymore. That's not a secondary data center. I want to be in the cloud, but I wanna do it on my terms. I wanna do it. So it works for me as a customer. This solution has that, right? And, and we come in as a partner and we look at, we kind of call it the full stack approach, where we really look at the entire, you know, ecosystem that we're talking. >>So from the application all the way down to the infrastructure and even below, and figure out how that's gonna work best for our customers and putting things together with the native cloud services, then with their VMware environment, living on VMware cloud, AWS, leveraging storage with a, you know, with the, the FSX in. So they can easily grow their storage and use all those operational efficiencies and the things that they love about NetApp already. And from a Dr. Use case, we can replicate from a NetApp to NetApp. And it's just, it makes it so easy to have that conversation with the customers and just, it clicks. And like, this is what I need. This is what I've been looking for. And all wrapped up in a really easy package. >>No wonder Dave's comment was finally right. >>Oh, absolutely. I mean, we've been, again, you know, we talked about the HCI, like that made sense. And three or four years ago, maybe even a little bit longer, right. That click, same thing was like, oh my gosh, this is the way infrastructure should work. And we're just having that same Nirvana moment that this is how easy cloud infrastructure can work and that I can have that storage without sacrificing the cost, throw more nodes into my cluster to be able to do so. >>Yeah. I I've just worked with so many customers who struggle to get to where they want to be BEC, and this is something that just feels like a nice worn in pair of shoes or jeans to folks who right now, you know, look, the majority of it spend is still on premises, right? So the typical deployment of VMware today is often VMware with NetApp appliances providing file storage. So this is something that I imagine will help accelerate some of your customers' moves. >>It absolutely will. And in fact, I have three customers off the hand that I know that I've been like, not wanting to say anything like let's talk next week. Right? There's this, there may be something we can talk about when, on, after Explorer waiting for the announcement, because we've been working with NetApp and, and doing some of the private preview stuff. Yeah. And our engineering teams, working with your engineering teams to build this out so that when the announcement came out yesterday, we can go back and say, okay, now let's have that conversation. Now let's talk about what this looks like, >>Where are you having customer conversation? So this is strictly an it conversation has this elevated up the stack, especially as we've seen the massive, I call it cloud migration adoption of the last couple of years. >>I, I I'll speak fairly from the partner level. It is an elevated conversation. So we're not only talking, at least I'm not only talking to it. Administrators, directors, C levels like this is a story that resonates because it's about business value, right? I have an initiative, I have a goal. And that goal is wrapped into that it solution. And typically has some sort of resource or financial cost to it. We want to hear that story. And so it resonates when we can talk about how you can achieve your goals, do it in a way with a specific solution that encompasses everything at a price point that you'll like, and then that can flow down to the directors and the it administrators. And we can start talking about, you know, turning the screws and the knobs. >>Yeah. And for us, it does start with a partner because the reality is that's who the that's, who the customers all engage. And the reality is there's not just one partner type there's many, you know, we, in fact, what the biggest thing that we've been really modernizing is how to address the different partner types. Cuz you obviously have the Accentures of the world that are the big GSIs, the big SI you have folks that are hosting providers, you have Equinox X in the middle of that. You've got partners that just do services that might be only influenced partners that are influencing the, the design. And so if you look up and down between, you know, VMware's partner ecosystem and NetApp's partner ecosystem overlap pretty well, but there's this factor with AWS about, you know, both born and the cloud partners and partners, you know, like CW that have really, you know, taken the step forward to be relevant in that phase going forward. >>And that's, what's exciting to us is to see that kind of come forward. So when something like a FSX end comes forward in this VMware cloud and AWS scenario, they can take and, and just have instant ignition with it. And for us, that's what it's about. Our job is really just to remove friction back what they do and get outta the way, help them win. And last week we were in Chicago at the AWS reinvent thing and seeing AWS with another partner in their whole briefing and how they came to life with the, with this whole anticipation for this week, you know, it's, it's all the partners are very excited for it. So we're just gonna fuel that. And you know, I often wonder we got the, the t-shirt that says, you know, two's company three is a cloud maybe should have been four because it takes the, the partner for the, the completion. >>We appreciate that for sure. >>It does. It sounds like there's tremendous momentum in the market, an appetite across all three companies, four, if you include CDW. So in terms of, of the selling motion, it sounds like you've got folks that are gonna be eating out of eating out of your pocket. Who've been waiting for this for quite a while. Yeah. >>I think you, the analogy used earlier, it's nice when the tires are already on the Ferrari, right. This thing could just go, yes. And we've got people that we're already talking to that this fits, we've got some great go to market strategies. As we start doing partner in sales enablement to make sure that our people behind the scenes are telling the story and the way that we want it to jointly so that all of us can, you know, come together and have that aligned common message to really, you know, make this win and make this pop >>One correction though is technically we sponsor Aston Martin. So it's not a fry. It's an Aston Martin. There >>You go. >>That's right. Quite taken, not a car guy. Can >>You, can you talk a little bit Brendan about the, the routes to market and the, the GTM that you guys are working on together, even at a high level? Yeah. >>At a high level, we've already had some meetings talking about how we can get this message out. The nice thing about this is it's not relegated to a single industry vertical. It's not a single type of customer. We see this across the board and, and certainly with any of our cloud infrastructure solutions, it seems very, even from a regional standpoint and an industry vertical standpoint. So really it's just about how to get our sellers, you know, that get that message to them. So we had meetings here this week. We've been talking to your teams, oh, for probably six weeks now on what's that gonna look like? You know, what type of events are we gonna hold? Do we wanna do some type of road show? Yeah. We've done that with FlexPod very successfully, a few years ago where our teams working with your teams and VMware, we all came out and, and showed this to the world and doing something similar with this to show how easy it is to add supplemental storage to VMC. And just get that out to the masses through events, maybe through sales webinars. I mean, we're still in this world where maybe it's more virtual than on person, but we're starting to shift back, but it's just about telling the message and, and showing, Hey, here's how you do it. Come talk to us. We can help you. And we want to help >>Talk about the messaging from a, a multi-cloud perspective. Here we are at VMware Explorer, the theme, the center of the multi-cloud universe, how is this solution from NetApp's perspective? And then CDWs, how does it an enabler of customers that so many are living in the multi-cloud world by default? >>Yeah. And I think the big subtlety there that, that maybe was MIS missed was the private cloud being just so their cloud. The reality of that is probably a little bit short of, you know, of what people kind of deal with with their on on-prem data centers, just because of some of the applications, data sets they're trying to work through for AI ML and analytics. But that's what the partner's great at is, is helping them kind of leap forward and actually realize the on-prem to become the private cloud and really operate in this multi-cloud scenario and, and get beyond this cloud chaos factor. So again, you know, the beautiful part about all this is that, you know, the, the, the never ending sort of options, the optionality that you have on security, on networking, on applications, data sets, locations, governance, these are all factors that the partner deals with way better than we could even think of. So for us, it's really about just trying to connect with them, get their feedback and actually design in from the partner to take something like this and make it something that works for them >>Back to your shirt. What does it say? Two's company, three's a cloud that's right. But if you want rain, you need a fourth. Yeah. Right. We're here in California. I don't care about clouds. We need it to rain. All >>Right. So >>It's all well and good that yeah. If you know, a couple of you get together and offer something up, but where the rubber meets the road, you know, the customer relationship, the strategic seat at the customer table, there, aren't more of those than there have been in the past. And, and, and ecosystems have obviously gotten more complicated. I can't help thinking back as I think back on the history of, of NetApp and VMware and CDW, there was a time when, when things were bad, you get rid of marketing. And then, and then after that, it was definitely alliances and partnerships cuz who the heck are those people right now? Everything is an ecosystem. Yeah. Everything is an ecosystem. So talk about how CW CDW has changed through its history in terms of where CDW has come from. >>Sure. And you >>Know, not everybody knows that CDW is involved in as sophisticated in area as you are. >>And, and that's true. I mean, sometimes it's tongue in cheek, but you know, we've fulfilled a lot of needs throughout the years and, and maybe at times just a fulfillment or a box pusher, but we're really so much more that, and we've been so much more than that for years. And through some of our acquisitions, you know, Sirius last year I G N w our international arm with Kway when it became CDW, K we have a, you know, a premier experience around consultative services. And that we talk about that full stack, right? Yeah. From the application to the cloud, to the infrastructure, to the security around it, to the networking, we can help out with all of that. And we've got experts and, and, you know, on the presales and postsales that, that's what they live for. It's their passion. And working with partners close in hand, that that's, we've had great relationships with, with NetApp. And again, I've been with CDW for over 12 years. And in all 12 of those years, I've been very close to NetApp in one way, shape or form, and to see how we work together to solve our customers' challenges. It's less about what we want to do. It's more about what we're doing to help the customer. And, and I've seen that day in and day out from our relationship and, you know, kind of our partnership. >>So say we're back here in six months, or maybe we're back here at reinvent, talking with you guys and a customer. What are some of the outcomes that at this stage you were expecting customers to be able to achieve, >>Be able to do more, put more out there, right. To not be limited by the construct of, I only have X amount of space. And so maybe the use case or the initiative is, is wrapped around that. Let's turn that around and say, that's, you're limitless, let's have move what you need. And you're not gonna have to worry so much about the cost, the way you did six months ago or seven months ago, or six months in a day ago that you can do more with it. And if we have an X amount in our bucket in, in July, we could do 200 VMs. You know, and now six months later, we've done 500 VMs because of those efficiency savings because of that cost savings and using supplemental storage. So I, I see that being a growth factor and being say, Hey, this was easy. We always knew this was a solution we liked, but now it's easy and bigger. >>Yeah. I think on our end, the spectrum, I'll just say what Phil Brons would say. I said previously, he was in the previous segment, which is, this could go pretty quick, folks that have wanted to do this now that they know this is something to do and that they can go at it. The part we already know, the partners are very much in like ready to go mode. They've been waiting for this day to just get the announcement out so they can get kind of get going. And it's funny because you know, when we've presented, we've kind of presented some of the tech behind what we're doing and then the ROI T C calculator last, and everyone's feedback is the same. They said you should just lead to the calculator. So then yeah, you can see exactly how much money you save. In fact, one of the jokes is there's not many times you've saved this much money in it before. And so it's, it's a big, wow. Factor, >>Big, wow. Factor, big differentiator, guys. Thank you so much for joining David, me talking about what NetApp, VMware, AWS are doing, how it's being delivered through CDW, the evolution of all these companies. We're excited to watch the solution. We better let you go because you probably have a ton of meeting. People are just chopping at the bit to get this. Yeah. >>It's, it's exciting times. I'm loving it being here and being able to talk about this finally, in a public setting. So this has been great. >>Awesome guys. Thank you again for your time. We appreciate it. Yep. For our guests and Dave Nicholson, I'm Lisa Martin. You're watching the cube live from VMware Explorer, 2022. We'll be back after a short break, stick around.
SUMMARY :
So folks are excited to be back. we'll start with you talk about what was announced yesterday, NetApp, VMware, I talked about this in a blog that I wrote that, you know, for me, type of mentality where, Hey, you can just scale the portions that you need and that wasn't available in I, And in the VMware context, think of the affinity that VMware has had with NetApp forever. Not lost on me that, you know, it was great seeing and hearing of NetApp in a day, And as you do, so, you know, you've, you've freed up for all the workloads, And by the way, the reaction that we've seen kind of in some of, of the private previews are working, a and VSAN aid in particular, but there's a huge market need for this, for what you guys are delivering. and in terms of being able to meet your customers where they are and what they want. And in that, in the virtualization platform, and that makes it easy for a with a, you know, with the, the FSX in. I mean, we've been, again, you know, we talked about the HCI, like that made sense. now, you know, look, the majority of it spend is still on premises, right? And our engineering teams, working with your engineering teams to build this out Where are you having customer conversation? And we can start talking about, you know, turning the screws and the knobs. And so if you look up and down between, you know, VMware's partner ecosystem and NetApp's partner ecosystem overlap to life with the, with this whole anticipation for this week, you know, it's, So in terms of, of the selling motion, it sounds like you've got folks that you know, come together and have that aligned common message to really, you know, So it's not a fry. That's right. You, can you talk a little bit Brendan about the, the routes to market and the, the GTM that you guys are And just get that out to the masses through events, And then CDWs, how does it an enabler of customers that so many are living in the multi-cloud world The reality of that is probably a little bit short of, you know, of what people But if you want rain, you need a fourth. So but where the rubber meets the road, you know, the customer relationship, the strategic seat at the customer table, I mean, sometimes it's tongue in cheek, but you know, we've fulfilled What are some of the outcomes that at this stage you were expecting customers to be able to achieve, the cost, the way you did six months ago or seven months ago, or six months in a day ago that you So then yeah, you can see exactly how much money you save. We better let you go because you probably have a ton of meeting. So this has been great. Thank you again for your time.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
David | PERSON | 0.99+ |
Dave Nicholson | PERSON | 0.99+ |
Lisa Martin | PERSON | 0.99+ |
California | LOCATION | 0.99+ |
Dave | PERSON | 0.99+ |
Keith | PERSON | 0.99+ |
Brandon Jackson | PERSON | 0.99+ |
Keith Norbie | PERSON | 0.99+ |
San Francisco | LOCATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Chicago | LOCATION | 0.99+ |
CDW | ORGANIZATION | 0.99+ |
July | DATE | 0.99+ |
last week | DATE | 0.99+ |
Ferrari | ORGANIZATION | 0.99+ |
Aston Martin | ORGANIZATION | 0.99+ |
CDWs | ORGANIZATION | 0.99+ |
next week | DATE | 0.99+ |
VMware | ORGANIZATION | 0.99+ |
yesterday | DATE | 0.99+ |
Brandon | PERSON | 0.99+ |
12 | QUANTITY | 0.99+ |
Phil Brons | PERSON | 0.99+ |
EMC | ORGANIZATION | 0.99+ |
NetApp | ORGANIZATION | 0.99+ |
500 VMs | QUANTITY | 0.99+ |
three customers | QUANTITY | 0.99+ |
200 VMs | QUANTITY | 0.99+ |
fourth | QUANTITY | 0.99+ |
NetApp | TITLE | 0.99+ |
two | QUANTITY | 0.99+ |
six months later | DATE | 0.99+ |
25 | QUANTITY | 0.99+ |
last year | DATE | 0.99+ |
First | QUANTITY | 0.99+ |
six months ago | DATE | 0.99+ |
one partner | QUANTITY | 0.99+ |
ESX | TITLE | 0.99+ |
Two | QUANTITY | 0.99+ |
5 | DATE | 0.99+ |
seven months ago | DATE | 0.99+ |
over 12 years | QUANTITY | 0.99+ |
six months | QUANTITY | 0.98+ |
Brendan | PERSON | 0.98+ |
three | DATE | 0.98+ |
2022 | DATE | 0.98+ |
this week | DATE | 0.98+ |
Keith normy | PERSON | 0.98+ |
six weeks | QUANTITY | 0.98+ |
25, 50% | QUANTITY | 0.97+ |
50% | QUANTITY | 0.97+ |
today | DATE | 0.97+ |
6 | DATE | 0.97+ |
four | QUANTITY | 0.97+ |
both | QUANTITY | 0.97+ |
one | QUANTITY | 0.97+ |
FSX | TITLE | 0.96+ |
Kevin L. Jackson, GC GlobalNet | CUBE Conversation, September 2021
(upbeat music) >> Hello and welcome to this special CUBE conversation. I'm John Furrier, host of theCUBE here, remote in Washington, DC, not in Palo Alto, but we're all around the world with theCUBE as we are virtual. We're here recapping the Citrix Launchpad: Cloud (accelerating IT modernization) announcements with CUBE alumni Kevin Jackson, Kevin L. Jackson, CEO of GC Global Net. Kevin, great to see you. Thanks for coming on. >> No, thank you very much, John. It's always a pleasure to be on theCUBE. >> It's great to have. You always have great insights. But here, we're recapping the event, Citrix Launchpad: Cloud (accelerator IT modernization). And again, we're seeing this theme constantly now, IT modernization, application modernization. People are now seeing clearly what the pandemic has shown us all that there's a lot of projects that need to be up-leveled or kill. There's a lot of things happening and going on. What's your take of what you heard? >> Well, you know, from a general point of view, organizations can no longer put off this digitalization and the modernization of their IT. Many of these projects have been on a shelf waiting for the right time or, you know, the budget to get right. But when the pandemic hit, everyone found themselves in the virtual world. And one of the most difficult things was how do you make decisions in the virtual world when you can't physically be with someone? How do you have a meeting when you can't shake someone's hand? And they all sort of, you know, stared at each other and virtually, of course, to try to figure this out. And they dusted off all of the technologies they had on the shelf that they were, you know, they were told to use years ago, but just didn't feel that it was right. And now it became necessary. It became the way of life. And the thing that really jumped at me yesterday, well, jumped at me with Launchpad, the Launchpad of the cloud is that Citrix honed in on the key issues with this virtual world. I mean, delivering applications, knowing what the internet state is so that you could select the right sources for information and data. And making security holistic. So you didn't have to, it was no longer sort of this bolted on thing. So, I mean, we are in the virtual world to stay. >> You know, good call out there. Honing in was a good way to put it. One quote I heard from Tim (Minahan) was, you know, he said one thing that's become painfully evident is a lot of companies are going through the pandemic and they're experiencing the criticality of the application experience. And he says, "Application experience is the new currency." Okay, so the pandemic, we all kind of know what's going on there. It's highlighting all the needs. But this idea of an application experience is the new currency is a very interesting comment because, I mean, you nailed it. Everyone's working from home. The whole work is shifting. And the applications, they kind of weren't designed to be this way 100%. >> Right, right. You know, the thing about the old IT was that you would build something and you would deploy it and you would use it for a period of time. You know, a year, two years, three years, and then there would be an upgrade. You would upgrade your hardware, you would upgrade your applications, and then you go through the process again, you know? What was it referred to as, it wasn't modernization, but it was refresh. You know, you would refresh everything. Well today, refresh occurs every day. Sometimes two or three times a day. And you don't even know it's occurring. Especially in the application world, right? I think I was looking at something about Chrome, and I think we're at like Chrome 95. It's like Chrome is updated constantly as a regular course of business. So you have to deploy this, understand when it's going to be deployed, and the customers and users, you can't stop their work. So this whole application delivery and security aspect is completely different than before. That's why this, you know, this intent driven solution that Citrix has come up with is so revolutionary. I mean, by being able to know the real business needs and requirements, and then translating them to real policies that can be enforced, you can really, I guess, project the needs, requirement of the organization anywhere in the world immediately with the applications and with this security platform. >> I want to get your reactions to something because that's right on point there, because when we look at the security piece and the applications you see, okay, your mind goes okay, old IT, new IT. Now with cloud, with the pandemic showing that cloud scale matters, a couple themes have come from that used to be inside the ropes concepts. Virtualization, virtual, and automation. Those two concepts are going mainstream because now automation with data and virtual, virtual work, virtual CUBE, I mean, we're doing virtual interviews. Virtualization is coming here. So building on those things. New things are happening around those two concepts. Automation is becoming much more programmable, much more real time, not just repetitive tasks. Virtual is not just doing virtual work from home. It's integrating that virtual experience into other applications. This requires a whole new organizational structure mindset. What's your thoughts on that? >> Well, one of the things is the whole concept of automation. It used to be a nice to have. Something that you could do maybe to improve your particular process, not all of the processes. And then it became the only way of reacting to reality. Humans, it was no longer possible for humans to recognize a need to change and then execute on that change within the allotted time. So that's why automation became a critical element of every business process. And then it expanded that this automated process needed to be connect and interact with that automated process and the age of the API. And then the organization grew from only relying on itself to relying on its ecosystem. Now an organization had to automate their communications, their integration, the transfer of data and information. So automation is key to business and globalization creates that requirement, or magnifies that requirement. >> One of the things we heard in the event was, obviously Citrix has the experience with virtual apps, virtual desktop, all that stuff, we know that. But as the cloud grows in, they're making a direct statement around Citrix is going to add value on top of the cloud services. Because that's the reality of the hybrid, and now soon to be multi-cloud workflows or architectures. How do you see that evolve? Is that something that's being driven by the cloud or the app experience or both? What's your take on that focus of Citrix taking their concepts and leadership to add value on top of the cloud? >> To be honest, I don't like referring to the cloud. It gives an impression that there's only a single cloud and it's the same no matter what. That couldn't be further from the truth. A typical organization will consume services from three to five cloud service providers. And these providers aren't working with each other. Their services are unique, independent. And it's up to the enterprise to determine which applications and how those applications are presented to their employees. So it's the enterprise that's responsible for the employee experience. Integrating data from one cloud service provider to another cloud service provider within this automated business process or multiple business processes. So I see Citrix is really helping the enterprise to continually monitor performance from these independent cloud service provider and to optimize that experience. You know, the things like, where is the application being consumed for? What is the latency today on the internet? What type of throughput do I need from cloud service provider A versus cloud service provider B? All of this is continually changing. So the it's the enterprise that needs to constantly monitor the performance degradation and look at outages and all of that. So I think, you know, Citrix is on point by understanding that there's no single cloud. Hybrid and multi-cloud is the cloud. It's the real world. >> You know, that's a great call. And I think it's naive for enterprises to think that, you know, Microsoft is sitting there saying hmm, let's figure out a way to really work well with AWS. And vice versa, right? I mean, and you got Google, right? They all have their own specialties. I mean, Amazon web service has got great compliance action going on there. Much back stronger than Microsoft. Microsoft's got much deeper legacy and integration to their base, and Google's doing great with developers. So they're all kind of picking their lanes, but they all exist. So the question in the enterprise is what? Do I, how do I deal with that? And again, this is an opportunity for Citrix, right? So this kind of comes down to the single pane of glass (indistinct) always talks about, or how do I manage this new environment that I need to operate in? Because I will want to take advantage of some of the Google goodness and the Azure and the AWS. But now I got my own on premises. Bare metals grow. You're seeing more bare metal deals going down now because the cloud operations has come on premises. >> Yeah, and in fact, that's hybrid IT, right? I always see that there are an enterprise, when enterprise thinks about modernizing or digitally transforming a business process, you have three options, right? You could put it in your own data center. In fact, building a data center and optimizing a data center for a particular process is the cheapest and most efficient way of executing a business process. But it's only way cheaper and efficient if that process is also stable and consistent. I'll say, but some are like that. But you can also do a managed service provider. But that is a distinctly different approach. And the third option is a cloud service provider. So this is a hybrid IT environment. It's not just cloud. It's sort of, you know, it's not smart to think everything's going to go into the cloud. >> It's distributed computing. We see (indistinct). >> Yeah, yeah, absolutely. I mean, in today's paperless world, don't you still use a pen and paper and pencil? Yes. The right tool for the right job. So it's hybrid IT. Cloud is not always a perfect thing. And that's something that I believe Citrix has looked at. That interface between the enterprise and all of these choices when it comes to delivering applications, delivering the data, integrating that data, and making it secure. >> And I think that's a winning positioning to have this app experience, the currency narrative, because that ultimately is an outcome that you need to win on. And with the cloud and the cloud scale that goes on with all the multiple services now available, the company's business model is app driven, right? That's their application. So I love that, and I love that narrative. Also like this idea of app delivering security. It's kind of in the weeds a little bit, but it highlights this hybrid IT concept you were saying. So I got to ask you as the expert in the industry in this area, you know, as you have intent, what do they call it? Intent driven solution for app delivering security. Self healing, continuous optimization, et cetera, et cetera. The KPIs are changing, right? So I want to get your thoughts on that. Because now, as IT shifts to be much faster, whether it's security teams or IT teams to service that DevOps speed, shifting left everyone talks about, what's the KPIs that are changing? What is the new KPIs that the managers and people can work through as a north star or just tactically? What's your thoughts? >> Well, actually, every KPI has to relate to either the customer experience or the employee experience, and sometimes even more important, your business partner experience. That's the integration of these business processes. And one of the most important aspects that people really don't think about is the API, the application programming interface. You know, you think about software applications and you think about hardware, but how is this hardware deployed? How do you deploy and expand the number of servers based upon more usage from your customer? It's via the API. You manage the customer experience via APIs. You manage your ability to interact with your business partners through the API, their experience. You manage how efficient and effective your employees are through their experience with the IT and the applications through the API. So it's all about that, you know, that experience. Everybody yells customer experience, but it's also your employee experience and your partner experience. So that depends upon this integrated holistic approach to applications and the API security. The web app, the management of bots, and the protection of your APIs. >> Yeah, that really nailed it. I think the position is good. You know, if you can get faster app delivery, keep the security in line, and not bolt it on after the fact and reduce costs, that's a winning formula. And obviously, stitching together the service layer of app and software for all the cloud services is really key. I got to ask you though, Kevin, since you and I have riffed on theCUBE about this before, more importantly now than ever with the pandemic, look at the work edge. People working at home and what's causing the office spaces changing. The entire network architecture. I mean, I was talking to a big enterprise that said, oh yeah, we had, you know, the network for the commercial and the network for dial up now 100% provisioned for everyone at home. The radical change to the structural interface has completely changed the game. What is your view on this? I mean, give us your, where does it go? What happens next? >> So it's not what's next, it's where we are right now. And you need to be able to be, work from anywhere at any time across multiple devices. And on top of that, you have to be able to adapt to constant change in both the devices, the applications, the environment, and a business model. I did a interview with Citrix, actually, from an RV in the middle of a park, right? And it's like, we did video, we did it live. I think it was through LinkedIn live. But I mean, you need to be able to do anything from anywhere. And the enterprise needs to support that business imperative. So I think that's key. It's it's not the future, it's the today. >> I mean, the final question I have for you is, okay, is the frog in the boiling water? At what point does the CIO and the IT leaders, I mean, their minds are probably blown. I can only imagine. The conversations I've been having, it's been, you know, be agile, do it in the cloud, do it at speed, fix the security, programmable infrastructure. What? How fast can I run? This is the management challenge. How are people dealing with this when you talk to them? >> First of all, the IT professional needs to focus on the business needs, the business requirements, the business key performance indicators, not technology, and a business ROI. The CIO has to be right there in the C sweep of understanding what's needed by the business. And there also has to be an expert in being able to translate these business KPIs into IT requirements, all right? And understanding that all of this is going to be within a realm of constant change. So the CIO, the CTO, and the IT professional needs to realize their key deliverable is business performance. >> Kevin, great insight. Loved having you on theCUBE. Thanks for coming on. I really appreciate your time highlighting and recapping the Citrix Launchpad: Cloud announcements. Accelerating IT modernization can't go fast enough. People, they want to go faster. >> Faster, faster, yes. >> So great stuff. Thanks for coming, I appreciate it. >> Thank you, John. I really enjoyed it. >> Okay, it's theCUBE conversation. I'm John Furrier, host of theCUBE. Thanks for watching. (upbeat music)
SUMMARY :
the world with theCUBE It's always a pleasure to be on theCUBE. that need to be up-leveled or kill. and the modernization of their IT. And the applications, and the customers and users, and the applications you see, okay, and the age of the API. One of the things we and it's the same no matter what. and the Azure and the AWS. And the third option is It's distributed computing. That interface between the enterprise What is the new KPIs that the managers and the protection of your APIs. and the network for dial up And the enterprise needs to support CIO and the IT leaders, and the IT professional highlighting and recapping the Citrix Launchpad: Cloud announcements. So great stuff. I really enjoyed it. I'm John Furrier, host of theCUBE.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
John | PERSON | 0.99+ |
Kevin Jackson | PERSON | 0.99+ |
John Furrier | PERSON | 0.99+ |
Kevin | PERSON | 0.99+ |
Tim | PERSON | 0.99+ |
three | QUANTITY | 0.99+ |
Palo Alto | LOCATION | 0.99+ |
ORGANIZATION | 0.99+ | |
Kevin L. Jackson | PERSON | 0.99+ |
100% | QUANTITY | 0.99+ |
September 2021 | DATE | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Citrix | ORGANIZATION | 0.99+ |
Kevin L. Jackson | PERSON | 0.99+ |
two | QUANTITY | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
three years | QUANTITY | 0.99+ |
a year | QUANTITY | 0.99+ |
GC Global Net | ORGANIZATION | 0.99+ |
Minahan | PERSON | 0.99+ |
third option | QUANTITY | 0.99+ |
Chrome | TITLE | 0.99+ |
both | QUANTITY | 0.99+ |
yesterday | DATE | 0.99+ |
two years | QUANTITY | 0.99+ |
three options | QUANTITY | 0.99+ |
Washington, DC | LOCATION | 0.99+ |
one | QUANTITY | 0.98+ |
today | DATE | 0.98+ |
pandemic | EVENT | 0.98+ |
two concepts | QUANTITY | 0.98+ |
One quote | QUANTITY | 0.98+ |
GC GlobalNet | ORGANIZATION | 0.97+ |
Chrome 95 | TITLE | 0.97+ |
five cloud service providers | QUANTITY | 0.96+ |
CUBE | ORGANIZATION | 0.96+ |
one thing | QUANTITY | 0.96+ |
ORGANIZATION | 0.95+ | |
three times a day | QUANTITY | 0.95+ |
single pane | QUANTITY | 0.92+ |
single cloud | QUANTITY | 0.92+ |
Citrix Launchpad | TITLE | 0.9+ |
CEO | PERSON | 0.88+ |
theCUBE | ORGANIZATION | 0.87+ |
things | QUANTITY | 0.84+ |
years ago | DATE | 0.83+ |
First | QUANTITY | 0.82+ |
one cloud service provider | QUANTITY | 0.8+ |
Citrix Launchpad: Cloud | TITLE | 0.79+ |
One of | QUANTITY | 0.72+ |
Citrix Launchpad: Cloud | TITLE | 0.72+ |
agile | TITLE | 0.64+ |
Azure | TITLE | 0.51+ |
CUBE | EVENT | 0.49+ |
Manpreet Mattu & Michael Jackson, AWS | AWS re:Invent 2020 Public Sector Day
>> From around the globe, it's theCUBE with digital coverage of AWS re:Invent 2020. Special coverage sponsored by AWS Worldwide Public Sector. >> Hello, welcome back to theCUBES coverage, of AWS re:Invent 2020 virtual. This is theCUBE virtual, I'm John Furrier, your host. We're not there in person this year because of the pandemic, but we're doing the remote. This is special coverage of the public sector, we got two great guests, Manpreet Mattu, who was the Worldwide Public Sector of Startups and Venture Capital team with AWS, and Michael Jackson who's the leader, general manager of Public Health and Venture Capital and Startups. Gentlemen, thanks for joining me. Thanks for coming up. >> Okay, it's my pleasure, thanks for having. >> I loved love welcome to theCUBE. I just want to say that Amazon never forgets the startups, that's where are they were born and bred it's been a startup. It's always day one as the expression goes, but truly even with the success, not just in the enterprise and starts within public sector, it's still a startup agility mindset, just want to call that out and say congratulations. Okay, let's get into it. Tell us about your roles and your backgrounds and why you're here. >> So, I believe so, I'm the head of AWS Public Sector, VC and Startups team, and our mission really is to help our public sector customers, adopt innovation that is built by the startups. I've been with AWS for about two and a half years. And prior to that, I was in a similar role with Booz Allen, helping our public sector customers, adopt innovation data as well. >> Michael. >> Yeah, so I am the general manager of Public Health, for on the Venture Capital and Startups team. My career here at AWS began just over four years ago. I was brought on to the state and local government team, initially building the public health practice from inception, and I also built and led our U S elections business. And I'm really excited now to transition into this global role, to lead our public health VC and startups practice, and really democratize access to innovation for our startups in the healthcare space. >> Well, great journey. You guys are converging, the VC and startup teams are coming together. A lot of macro trends certainly are tailwinds for you guys. Obviously, the pandemic is forcing, more accelerated modern applications in public sector, and we've been covering more and more success stories, of the change happening quickly. As access to capital continues to be great, and agility with the cloud, how has that impacted your teams and your approach? Can you guys share how that's changed this year? Because there's more pressure now to be digital, there's more opportunities, there's more still capital flowing, how has it impacted your roles? >> Now, so at the very high level, Amazon invests in companies because, we want those companies to be successful. And AWS itself makes a substantial investment, in agility, the startup customers success. We have things like service credits and things like, business nurturing programs that we have built over the course of the last seven, eight years. For example, over the past, you had a loan, Amazon has provided more than a billion dollars in credits, through AWS Activate program, to help startups grow and scale their businesses. And not only that a total of more than three and a half billion dollars in credit to more than 140,000 startups, over the last seven years, all through the course of the Activate program. From more so, on the healthcare side, I would want, certainly MJ to also, speak through or speak to, the challenges that the health system has faced in the COVID times, and how AWS is helping the provider, healthcare providers and the startups, really achieve success, and help the patient populations on that note. >> Michael, weighing on this new programs, you guys are launching in the impact healthcare, I see where we're seeing the frontline workers, I mean, it's everyone seeing it on TV and the newspaper, and it's impacting friends and family, give us the update. >> Absolutely, so we're here today to launch a new program. We call it the Healthcare Acceleration program. And basically, there are two halves to the program, with an undercurrent or a recurring undercurrent, I should say. Just really quickly before I touch on that though, I'd be remissed if I didn't make note of the fact that, you're right capital is still flowing, and it's a really big deal particularly, as healthcare and public health becomes such a priority, but one of the strategic imperatives of our team's role, similar to the way we democratize access to innovation for startups, we also find it really important to democratize access, to resources for founders, underrepresented founders, so, that everyone can have a level playing field, and equal access to those resources and funding, and things of that nature. Getting back to some of the healthcare priorities, in particular, I don't have to tell you about, this pandemic where on the third, and possibly the deadliest wave losing over 1000 Americans per day. And so, not only are we interested in helping our customers, our enterprise customers inject innovation from startups so that they can address clinical aspects, of the pandemic and beyond, but there are underlying rippling societal implications as well. Things that have been exacerbated by the pandemic. Things like mental health, behavioral health, including substance use abuse, clinical clinician burnout, things like social determinants of health, which lead to disproportionately impacted demographics. So, there's a whole lot to unpack and I'm sure we will, but at the highest level, that's what we're looking to help, our enterprise customers address, with the help of our innovative high potential startups. >> I mean, strategic focus, just go a little bit further on how important this is, because, programs are needed, there is burnout, okay. >> Yeah. >> You have mental health, physical health, everything in between. What are you guys launching? What's new? What can people take away right now from AWS, and what startups and when, 'cause a lot of people are changing their focus. I was seeing people leave their jobs, to have to get on this new mission. They're seeing the pain, there's a lot of entrepreneurial energy, happening right now here. Go further, please. >> So, you touched right on it. So, there are two sides. I mentioned there are two halves, and an underlying current, right? So, the two halves are the supply and the demand. The supply side is what we refer to as the startups, vetted high potential, high growth startups, in the health tech space, that we can help to accelerate their go to market, right? We can pair them with mentorship, credits, we call it the 4Cs. There's capital, mapping them potentially to investors, who are interested into accelerating their growth. There's code, technical support, whether it's cloud formation templates, or technical expertise, connections such as other startups, incubators, accelerators, etcetera, and finally mapping them to customers. So, that's, what's in it for the startups. And then on the other side, the enterprise side, again, there are so many enterprises from payers to providers and others who are looking to accelerate their efforts, to digitally transform their enterprise. And so, by partnering with AWS, and the Healthcare Acceleration program, they can trust that there are AWS powered startups, that are vetted and prepared, to inject that sense of urgency, that sense of innovation. And the underlying current, the dots that are being connected is, workforce modernization or economic development, because in many cases, you're right, people are losing their jobs, people are looking at ways that they can, modernize the workforce is locally leverage local talent. And so, entrepreneurship is a great way, to stimulate the local economy, and help older workers or workers who are looking to transition into a more relevant occupations, to do just that. So, this is an all encompassing program. >> Let's get into this health accelerator from AWS. This is something that is on the table, AWS Health Accelerator, who are the stakeholders, and what are the benefits of this program? >> Well, I mean, before we actually, go to the accelerator for me, I think there's this focus on the healthcare, as an industry, as a vertical, is very important to talk about. The industry is experiencing transformation. It is experiencing disruption and the COVID-19 pandemic, has only accelerated that. If you made, it has sort of magnified some of the stressors, which were already there in the system. If you combine that with the sort of the undercurrent that MJ mentioned from a technological perspective, the delivery of healthcare globally is going digital. So, you see technology is like artificial intelligence, machine learning, big data, augmented reality, IoT based variables. All of these technologies are coming together, to enable applications, such as remote diagnostics, patient monitoring, predictive prescriptive healthcare. And we truly feel that this presents a tremendous opportunity to improve the patient experience, and more importantly, the patient outcomes, using these technologies, and these newly enabled applications through those technologies. And as an example, in the U S alone, there are 22 key healthcare AI use cases, that are projected to grow by, or to approximately around $22 billion by 2025. So, in AWS, we are collaborating with the wide spectrum of healthcare providers, with public health organizations, with government agencies, all around the globe to support their effort, to cope with the rippling effects of the COVID-19. And arguably, many of them are visible to us today, but I would argue that many many are not even yet, have been begun to understand by us and by our customers. So, that is the reason why we want to put some emphasis, on healthcare from a public sector standpoint. >> Yeah, that's a great call-out Manpreet, I want to just highlight that, maybe get an additional commentary because, the old days it was just the institution, the hospital and then you're done. And then it was okay, hospital plus the caregiver, the doctors, and the workers, and now the patient. So, holistically, you're calling out the big picture, the patient care, right. Their families, their environment, the caregivers, and the institution, and now the supply chain, all of it integrated together. That's where the action is. And that's where the data comes in, that's where cloud scale can come in. Is that right? Am I getting that right there? >> Yeah, that's absolutely. I'm sorry Manpreet. >> Welcome MJ, go on. >> I was going to say you're absolutely right. In fact, we like to look at it almost like a bullseye, right? So, at the center of the bullseye, like you said, usually, the first stakeholder that comes to mind, is the provider or the coordinator of care. Outside of there, you have the payer, outside of there, you have researchers. And in any even further outside still are your regulators, your healthcare agencies at the local state, and federal levels, including military health. So, it's a rippling effect of customers on that side, as well as you asked about stakeholders on the startup side, there's also a bullseye of influence. Starting with the founder herself, the founder, and her executive team, moving out from there to the startup, as an organization outside from there, we've got incubators and accelerators that are in place, to help accelerate that growth as well. And then farther out you've got investors, VCs, and investors, and so on both sides, supply and demand we're looking to tap into, and accelerate the growth, and make connections between the two. >> Yeah, (indistinct) but when I, in back in real life, when we used to go to games, you walk into the stadium, you buy your ticket with your phone, you go to your seat, concessions guys, deliver things there for you, the fan experience, the players are there. I mean, why can't we have that in healthcare? I was just everything is happening, right. Go for good, yeah. And I think that's the Nirvana, hopefully soon. >> We're working on it. >> Good stuff. I know, I just love the vision, I think is so relevant and super important. Now, let's get into this health accelerator. What's this all about? Let's get into that. >> So, the health accelerator will be, a multi-week on-demand program. Where we're going to map high potential vetted startups, to a number of resources, right. I mentioned before that there will be mentorship, there will be technical experts who will be able to, take these startups who have established some presence, but we want to accelerate their ability to go deeper specifically into public health, throughout that ecosystem that I just described, right? Starting with providers and coordinators, payers, researchers, regulators. We want to give them a way to go deep into this, heavily regulated industry, so that they can not only have access to the innovation that many startups would not otherwise, like Manpreet mentioned machine learning AI, but they also have access to the resources, to ensure their success. >> What kind of problems are you guys trying to solve with this? I mean, is there a specific vetting process, is there a criteria? Is there a bar to all over share some specifics? >> Yeah, absolutely. So, for the past few years, a lot of the major change challenges, for our public health customers have been the same, but they require a new approach. And I like to call our approach the HIGH FIVE. So, some of those challenges that have been traditionally, lingering for the past few years, equal social determinants of health. Social determinants, when we talk about that, we not only refer to the nonclinical contributors to a person's overall wellness. So, you think about issues like food deserts or recidivism homelessness, all of that transportation to access to care, right, all of that contributes. But then there's also disparities and health outcomes. When you think about socioeconomic differences, rural health, ethnic and racial minorities, so, that all factors into social determinants of health. Then there's also aging. Now, these are the strategic pillars that we like to focus on, or that we are focusing on. When I mentioned aging every day in the U S, 10,000 people celebrate their 65th birthday. Many of those individuals are suffering from comorbidities, from hypertension, diabetes, cancer, and now the lingering impact of COVID-19. And so, as these aging individuals continue to live longer, the goal is to improve the quality of their life as well. And so, many of them look to technology to age independently at home, etcetera. So, that's our second strategic pillar. The third, is mental and behavioral health. So, when I talk about mental health, I mean, everything from mild depression, all the way through suicide prevention, and especially these days with COVID-19, we see a lot of clinicians suffering from burnout. And so, it's important, that we take care of the frontline workers, those healthcare providers, and even outside of COVID-19, you think about the ways that the patient population, has continued to expand, and the growth within the provider market has not, or the pool of providers has not nearly expanded at the same rate. We've got people living longer, we've got more people than ever insured. And so, we need to leverage technology to help a stagnant, number of providers to treat a growing pool of patients, without sacrificing the quality of care. And then finally, we've got environmental health. From air quality to water purity. It's important to understand the correlation between, the environment and the health care of our population. So, those are the pillars. I know I mentioned the HIGH FIVE, the fifth is not specific to healthcare. I touched on it a little bit earlier, but the fifth is, it is democratizing access to innovation, to resources, specifically for founders from underrepresented communities. >> And that's great insight, Michael great, great Schaeffer pointed that out. Manpreet take us on the final word here. Venture Capital, Startups, AWS, what's the current state share with us, the current worldview from your perspective. >> Oh, so, bringing home this point that MJ mentioned, the strategic plan of focus areas. And if you, look at all those strategic areas there's, you can really sort of put those into two buckets. One is the patient side of the bucket, and then there's the provider side of the bucket, or the caretaker side of the bucket. And if the patient side, what we want to do is work with startups that are, really working across a broad spectrum of use cases, but to solve those two key challenges of the, one on the patient's side and other on the provider side. Then the end goal of providing patient experience, and patient outcomes. For the patient side, it's the patient experience, patient engagement, patient outcomes. So, the startups looking on those sides, on those use cases of criteria. And then we have the provider side where, we want to ensure that the providers have the right set of technologies, the right set of solutions, right set of innovation, to help them where healthcare operations. You have all seen in COVID times, how the provider systems are getting overwhelmed. And that's where the healthcare operations comes into play. Clinical decision support. Now, many patients cannot get to the hospitals. So, how do we provide through our startup partners for startup customers, those solutions where remote diagnostics, remote imaging or remote health delivery could be provided. Things like predictive and prescriptive health solutions. How can we work with our startups to provide, those sort of solutions to the providers, to again, at the end, the better the outcome of the patients, right? So, that's what we were looking at. And that's what this program is all about. Working with public sector provider side of the house and the customers understanding, and helping them understand the need as well, and then bringing the right set of startup solutions, and help solve those challenges that they are facing, and the patients are facing as well. MJ, I'm sure you want to close it out, with some thoughts too. >> Okay. >> Absolutely, I would just close it with this, our goal, like Manpreet said, is to match the high potential startups, with the, the enterprises who are desiring those solutions, and success for us, we'll have three traits. It will be valuable, meaning that there will be a true alignment between what our startups offer and what the market needs. It will be measurable, so that we can quantify the improvement and outcomes. And finally, it will be sustainable. So, beyond COVID-19 beyond the opioid crisis, beyond any situation or condition, we look to bring solutions to market through our startups, that are going to truly sustain a transformative approach to modernizing public health enterprises. >> Great job again, and important work and DevOps, impacting healthcare in all kinds of ways. And it's super important work. I'm glad you guys are doing it, and it's going to develop out beautifully, and if I can give you a high five, Michael, I'll give you a high five off in-person, but remotely, >> Virtual. >> Get virtual high five great program. We're going to spread the word, good work. >> Thank you. >> Thanks for doing it, I appreciate it. >> Thank you very much for your time. >> Okay, it's theCUBE coverage virtual, we are theCUBE virtual bringing all the coverage, super important work being done in public sector, cloud enabling it, great people important, and of course, happening at re:Invent. Thanks for watching. (upbeat music)
SUMMARY :
From around the globe, of the public sector, Okay, it's my pleasure, not just in the enterprise and So, I believe so, I'm the in the healthcare space. of the change happening quickly. and how AWS is helping the provider, in the impact healthcare, and possibly the deadliest wave losing I mean, strategic focus, They're seeing the pain, and the Healthcare Acceleration program, This is something that is on the table, all around the globe to and now the patient. Yeah, that's absolutely. and make connections between the two. the fan experience, the players are there. I know, I just love the vision, So, the health accelerator will be, the goal is to improve the the current worldview and the patients are facing as well. beyond the opioid crisis, and it's going to develop out beautifully, We're going to spread the word, good work. bringing all the coverage,
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
AWS | ORGANIZATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Manpreet Mattu | PERSON | 0.99+ |
Michael | PERSON | 0.99+ |
Michael Jackson | PERSON | 0.99+ |
two sides | QUANTITY | 0.99+ |
John Furrier | PERSON | 0.99+ |
MJ | PERSON | 0.99+ |
two halves | QUANTITY | 0.99+ |
Schaeffer | PERSON | 0.99+ |
U S | LOCATION | 0.99+ |
Manpreet | PERSON | 0.99+ |
third | QUANTITY | 0.99+ |
more than a billion dollars | QUANTITY | 0.99+ |
10,000 people | QUANTITY | 0.99+ |
fifth | QUANTITY | 0.99+ |
2025 | DATE | 0.99+ |
Venture Capital | ORGANIZATION | 0.99+ |
COVID-19 | OTHER | 0.99+ |
two | QUANTITY | 0.99+ |
more than three and a half billion dollars | QUANTITY | 0.99+ |
65th birthday | QUANTITY | 0.99+ |
both sides | QUANTITY | 0.99+ |
One | QUANTITY | 0.99+ |
today | DATE | 0.98+ |
Worldwide Public Sector of Startups | ORGANIZATION | 0.98+ |
pandemic | EVENT | 0.98+ |
second strategic pillar | QUANTITY | 0.97+ |
more than 140,000 startups | QUANTITY | 0.97+ |
this year | DATE | 0.97+ |
Venture Capital | ORGANIZATION | 0.97+ |
about two and a half years | QUANTITY | 0.97+ |
first stakeholder | QUANTITY | 0.96+ |
AWS Worldwide Public Sector | ORGANIZATION | 0.96+ |
Public Health | ORGANIZATION | 0.95+ |
eight years | QUANTITY | 0.95+ |
FIVE | QUANTITY | 0.95+ |
two buckets | QUANTITY | 0.94+ |
two key challenges | QUANTITY | 0.94+ |
one | QUANTITY | 0.94+ |
two great guests | QUANTITY | 0.93+ |
over 1000 | QUANTITY | 0.91+ |
22 key healthcare AI | QUANTITY | 0.88+ |
re: | EVENT | 0.87+ |
around $22 billion | QUANTITY | 0.86+ |
four years ago | DATE | 0.86+ |
COVID-19 pandemic | EVENT | 0.81+ |
Public | ORGANIZATION | 0.8+ |
HIGH FIVE | QUANTITY | 0.8+ |
Invent 2020 Public Sector Day | EVENT | 0.78+ |
Booz | PERSON | 0.78+ |
years | DATE | 0.78+ |
wave | EVENT | 0.77+ |
approximately | QUANTITY | 0.76+ |
per day | QUANTITY | 0.75+ |
three traits | QUANTITY | 0.73+ |
Kevin L. Jackson, GC GlobalNet | Citrix Security Summit 2020
from the cube studios in palo alto in boston connecting with thought leaders all around the world this is a cube conversation hey welcome back everybody jeff frick here with the cube coming to you from our palo alto studios with a cube conversation with a great influencer we haven't had him on for a while last had him on uh in may i think of 2019 mid 2019. we're excited to welcome back to the program he's kevin l jackson he is the ceo of gc globalnet kevin great to see you today hey how you doing jeff thanks for having me it's uh it's been a while but i really enjoyed it yeah i really enjoy being on thecube well thank you for uh for coming back so we've got you on to talk about citrix we had you last on we had you on a citrix synergy this year obviously covet hit all the all the events have gone virtual and digital and citrix made an interesting move they decided to kind of break their thing into three buckets kind of around the main topics that people are interested in in their world and that's cloud so they had a citrix cloud summit they had a citrix workplace summit and now they just had their last one of the three which is the citrix security summit uh just wrapped up so before we jump into that i just want to get your take how are you doing how you getting through the kind of covid madness from you know the light switch moment that we experienced in march april 2. you know now we're like seven eight months into this and it's not going to end anytime soon well you know it's it was kind of different for me because um i've been working from home and remotely since i guess 2014 being a consultant and with all my different clients i was doing a lot more traveling um but with respect to doing meetings and being on collaborative systems all day long it's sort of like uh old hat and i say welcome to my world but i find that you know society is really changing the things that you thought were necessary in business you know being physically at meetings and shaking hands that's all like you know although we don't do that anymore yeah i used to joke right when we started this year that we finally got to 2020 the year that we know everything right with the benefit of hindsight but it turned out to be the year that we actually find out that we don't know anything and everything that we thought we knew in fact is not necessarily what we thought and um we got thrown into this we got thrown into this thing and you know thankfully for you and for me we're in you know we're in the tech space we can we can go to digital we're not in the hotel business or the hospitality business or you know so many businesses that are still suffering uh greatly but we were able to make the move in i.t and and citrix is a big piece of that in terms of enabling people to support remote work they've always been in remote work but this really changed the game a lot and i think as you said before we turned on the cameras accelerated you know this digital transformation way faster than anybody planned on oh oh yeah absolutely and another one of the areas that was particularly um accelerated they sort of put the rockets on is security which i'm really happy about because of the rapid increase in the number of remote workers i mean historically companies had most of their workforce in their own buildings on on their own property and there was a small percentage that would remote work remotely right but it's completely flipped now and it flipped within a period of a week or a week and a half and many of these companies were really scrambling to make you know their entire workforce be able to communicate collaborate and just get access to information uh remotely right right well david talked about it in the security keynote you know that you know as you said when this light switch moment hit in mid-march you had to get everybody uh secure and take care of your people and get them set up but you know he talked a little bit about you know maybe there were some shortcuts taken um and now that we've been into this thing in a prolonged duration and again it's going to be going on for a while longer uh that there's really an opportunity to to make sure that you put all the proper uh systems in place and make sure that you're protecting people you're protecting the assets and you're protecting you know the jewels of the company which today are data right and data in all the systems that people are working with every single day yeah yeah absolutely they had to rapidly rethink all of the work models and this uh accelerated digital transformation and the adoption of cloud and it was just this this huge demand for remote work but it was also important to uh keep to think about the user experience the employee experience i mean they were learning new things learning new technologies trying to figure out how to how to do new things and that at the beginning of this uh trend this transition people were thinking that hey you know after a few months we'll be okay but now and it's starting to sink in that this stuff is here to stay so you have to understand that work is not a place and i think actually david said that right it's really you have to look at how the worker is delivering and contributing to the mission of the organization to the business model and you have to be able to measure the workers level of output and their accomplishment and be able to do this remotely so back to office is is not going to happen in reality so the employee experience through this digital environment this digital work space it's critical yeah i think one of the quotes he had whether i think was either this one or one of the prior ones is like back to work is not back to normal right we're not going to go back to the way that it was before but it's interesting you touched on employee experience and that's a big piece of the conversation right how do we measure output versus you know just time punching the clock how do we give people that that experience that they've come to expect with the way they interact in technology in their personal lives but there's an interesting you know kind of conflict and i think you've talked about it before between employee experience and security because those two kind of inherently are going to be always in conflict because the employee's going to want more access to more things easier to use and yet you've got to keep security baked in throughout the stack whether it's access to the systems whether it's the individual and and so there's always this built-in kind of tension between those two objectives well the tension is because of history security has always been sort of a a second thought an afterthought uh you know you said due to work oh security we'll catch up to it when we need to but now because of the importance of data and the inherently global connectivity that we have the the need for security has is paramount so in order to attract that in order to address that the existing infrastructures had this where we just bolted security on to the existing infrastructures uh this is when they when the data centers and we said well as long as it's in our data center we can control it but then we with this covet thing we'll just burst out of any data center we have to rely on cloud so this this concept of just bolting on security just doesn't work because you no longer own or control the security right so you have to look at the entire platform and have a holistic security approach and it has to go from being infrastructure-centric to data centric because that's the only way you're going to provide security to your data to those remote employees right right and there's a very significant shift we hear all the time we've got rsa uh all the time to talk about security and that's this concept of zero trust and and the idea that rather than as you said kind of the old school you put a a wall and a moat around the things that you're trying to protect right you kind of start from the perspective of i don't trust anybody i don't trust where they're coming from i don't trust their device i don't trust that they have access to those applications and i don't trust that they have access to that data and then you basically enable that on a kind of a need to know basis across all those different factors at kind of the least the least amount that they need to get their job done it's a really different kind of approach to thinking about security right and but it's a standardized approach i mean before present time you would customize security to the individual or 2d organization or component of the organization because you know you knew where they were and you would you would say well they won't accept this so we'll do that so everything was sort of piecemeal now that work is not a location you have to be much more standardized much more focused and being able to track and secure that data requires things like digital rights management and and secure browsers and some of the work that citrix has done with google has really been amazing they they looked at it from a different point of view they said okay where people are always working through the cloud in different locations from from anywhere but they all work through their browser so you know we could and i think this was something that the vice president at google said uh sunil potty i believe uh vice president of google cloud they said well we can capitalize on that interface without affecting the experience and he was talking about chrome so so citrix and and google have worked together to drive sort of an agent-less experience to order to enhance security so instead of making everything location specific or organizational specific they set a standard and they support this intent-driven security model yeah it's interesting sunil's a really sharp guy we've had him on thecube a ton of times uh over the years but there's another really interesting take on security and i want to get your your feedback on it and that's kind of this coopetation right and silicon valley is very famous for you know coopetation you might be competing tooth and nail with the company across the street at the same time you got an opportunity to partner you might share apis you know it's a really interesting thing and one of the the items that came out of the citrix show was this new thing called the workspace security alliance because what's interesting in security that even if we're competitors if you're suddenly getting a new type of threat where you're getting a new type of attack and there's a new you know kind of profile actually the industry likes to share that information to help other people in the security business as kind of you know us versus the bad guys even if we're you know competing for purchase orders we're competing you know kind of face-to-face so they announced this security alliance which is pretty interesting to basically bring in partners to support uh coopetition around the zero trust framework uh yeah absolutely this is happening across just about every industry though you're going away from uh point-to-point relationships to where you're operating and working within an ecosystem and in security just this week it's been highlighted by the uh the trick trick bot um activity this uh persistent uh malware that i guess this week is attacking um health care uh facilities the actual the u.s department of homeland security put out an alert now and this is a threat to the entire ecosystem so everyone has to work together to protect everyone's data and that improves that that is the way forward and that's really the only way to be successful so uh we have to go from this point-to-point mindset to understanding that we're all in the same boat together and in this uh alliance the workspace security alliance is an indication that citrix gets it right everyone has workers everyone's workers are remote okay and everyone has to protect their own data so why don't we work together to do that yeah that's great that's interesting i had not heard of that alert but what we are hearing a lot of um in in a lot of the interviews that we're doing is kind of a resurfacing of kind of old techniques uh that the bad guys are using to to try to get remote workers because they're not necessarily surrounded with as much security or have as much baked in in their home setup as they have in the office and apparently you know ransomware is really on the rise and the sophistication of the ransom where folks is very high and that they try to go after your backup and all in you know your replication stuff before they actually hit you up for the uh for the want for the money so it's it's there's absolutely that's right yeah go ahead i'm sorry i was just saying that's indicative of the shift that most of your workers are no longer in your facilities than now and at home where companies never really put a lot of investment into protecting that channel that data channel they didn't think they needed to right right one of the other interesting things that came up uh at the citrix event was the use of uh artificial intelligence and machine learning to basically have a dynamic environment where you're adjusting you know kind of the access levels based on the behavior of the individual so what apps are they accessing what you know are they moving stuff around are they downloading stuff and to actually kind of keep a monitor if you will to look for anomalies and behavior so even if someone is trusted to do a particular type of thing if suddenly they're you know kind of out of band for a while then you know you can flag alerts to say hey what's going on is that this person did their job change you know why are they doing things that they don't normally do maybe there's a reason maybe there isn't a reason maybe it's not them so you know i think there's so many great applications for applied machine learning and artificial intelligence and these are the types of applications where you're going to see the huge benefits come from this type of technology oh yeah absolutely i mean the citrix analytics for security is really a um security service right um that monitors the activities of of people on the internet and it this machine learning gives you or gives the service this insight no one company can monitor the entire internet and you can go anywhere on the internet so bob working together leveraging this external service you can actually have automated remediation of your users you can put this specific user security risk score so um companies and organizations can be assured that they are within their risk tolerance right right and of course the other thing you've been in the business for a while that we're seeing that we're just kind of on the cusp of right is 5g and iot so a lot more connected devices a lot more data a lot more data moving at machine speed which is really what 5g is all about it's not necessarily for having a better phone call right so we're just going to see you know kind of again this this growth in terms of attack surfaces this growth in terms of the quantity of data and the growth in terms of the the the rate of change that that data is coming in and and the scale and the speed with the old uh you know velocity and and variety and volume uh the old big data memes so again the other thing go ahead the other thing it's not just data when you have 5g the virtual machines themselves are going to be traveling over this network so it's a whole new paradigm yeah yeah so the uh once again to have you know kind of a platform approach to make sure you're applying intelligence to keep an eye on all these things from zero trust uh uh kind of baseline position right pretty damn important yeah absolutely with with edge computing the internet of things this whole infrastructure based data centric approach where you can focus on how the individual is interacting with the network is important and and uh another real important component of that is the um software-defined wide area network because people work from everywhere and you have to monitor what they're doing right right yeah it's really worked from anywhere not necessarily work from home anymore i just want to you know again you've been doing this for a while get your feedback on on the fact that this is so much of a human problem and so much of a human opportunity versus just pure technology i think it's really easy to kind of get wrapped up in the technology but i think you said before digital transformation is a cultural issue it's not a technology issue and getting people to change the way they work and to change the way they work with each other and to change what they're measuring um as you said kobe kind of accelerated that whole thing but this has always been more of a cultural challenge in a technology challenge yeah the technology in a relative sense of you is kind of easy right but it's the expectations of humans is what they're used to is what they have been told in the past is the right thing no longer is right so you have to teach you have to learn you have to accept change and not just change but rapid change and accelerated change and people just don't like change they're uncomfortable in change so another aspect of this culture is learning to be adaptable and to accept change because it's going to come whether you want it or not faster than you think as well for sure you're right well that's great so kevin i'll give i give you the final word as as you think about how things have changed and again i think i think the significant thing is that we went from you know kind of this light switch moment where it was you know emergency and and quick get everything squared away but now we're in this we're in kind of this new normal it's going to be going for a while we'll get back to some some version of a hybrid uh solution at some point and you and i will be seeing each other at trade shows at some point in time in the in the future but it's not going to go back the way that it was and people can't wait and hope that it goes back the way that it was and really need to get behind this kind of hybrid if you will work environment and helping people you know be more productive with the tools they need it always gets back to giving the right people the right information at the right time to do what they need to do so just kind of get your perspective as we you know kind of get to the end of 2020 we're going to turn the page here rapidly on 2021 and we're going to start 2021 in kind of the same place we are today well to be honest we've talked about a lot of these things but the answer to all of them is agility agility agility is the key to success this is like not locking into a single cloud you're going to have multiple clouds not locking into a single application you have multiple applications not assuming that you're always going to be working from home or working through a certain browser you have to be agile to adapt to rapid change and the organizations that recognize that and uh teach their workers teach their entire ecosystem to operate together in a rapidly changing world with agility will be successful that's a great that's a great way to leave it i saw beth comstack the former vice chair at ge give a keynote one time and one of her great lines was get comfortable with being uncomfortable and i think you nailed it right this is about agility it's about change it's we've seen it in devops where you embrace change you don't try to avoid it you know you take that really at the top level and try to architect to be successful in that environment as opposed to sticking your head in the sand and praying it doesn't absolutely all right well kevin so great to catch up i'm i'm sorry it's been as long as it's been but hopefully it'll be uh shorter uh before the next time we get to see each other yes fine thank you very much i really enjoyed it absolutely all right he's kevin l jackson i'm jeff frick you're watching thecube from our palo alto studios keep conversation we'll see you next time you
SUMMARY :
in the security keynote you know that
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
2014 | DATE | 0.99+ |
Kevin L. Jackson | PERSON | 0.99+ |
2020 | DATE | 0.99+ |
2021 | DATE | 0.99+ |
jeff frick | PERSON | 0.99+ |
kevin l jackson | PERSON | 0.99+ |
jeff | PERSON | 0.99+ |
kevin | PERSON | 0.99+ |
boston | LOCATION | 0.99+ |
palo alto | ORGANIZATION | 0.99+ |
2019 | DATE | 0.99+ |
chrome | TITLE | 0.99+ |
david | PERSON | 0.99+ |
beth comstack | PERSON | 0.99+ |
march april 2 | DATE | 0.99+ |
citrix | ORGANIZATION | 0.98+ |
today | DATE | 0.98+ |
two | QUANTITY | 0.98+ |
ORGANIZATION | 0.98+ | |
sunil potty | PERSON | 0.98+ |
a week and a half | QUANTITY | 0.98+ |
sunil | PERSON | 0.98+ |
a week | QUANTITY | 0.98+ |
single application | QUANTITY | 0.98+ |
one | QUANTITY | 0.97+ |
this week | DATE | 0.97+ |
two objectives | QUANTITY | 0.97+ |
seven eight months | QUANTITY | 0.97+ |
mid-march | DATE | 0.97+ |
GC GlobalNet | ORGANIZATION | 0.95+ |
end of 2020 | DATE | 0.95+ |
a ton of times | QUANTITY | 0.95+ |
this year | DATE | 0.95+ |
5g | QUANTITY | 0.95+ |
three | QUANTITY | 0.95+ |
Citrix Security Summit 2020 | EVENT | 0.93+ |
this week | DATE | 0.93+ |
palo alto studios | ORGANIZATION | 0.93+ |
one time | QUANTITY | 0.92+ |
single cloud | QUANTITY | 0.91+ |
mid 2019 | DATE | 0.91+ |
citrix security summit | EVENT | 0.9+ |
uh alliance | ORGANIZATION | 0.88+ |
citrix | EVENT | 0.88+ |
zero trust | QUANTITY | 0.87+ |
google cloud | ORGANIZATION | 0.86+ |
u.s department | ORGANIZATION | 0.81+ |
vice president | PERSON | 0.8+ |
second thought | QUANTITY | 0.79+ |
homeland security | ORGANIZATION | 0.78+ |
citrix workplace summit | EVENT | 0.78+ |
every single day | QUANTITY | 0.74+ |
lot | QUANTITY | 0.73+ |
citrix | TITLE | 0.73+ |
citrix cloud summit | EVENT | 0.71+ |
lot of | QUANTITY | 0.69+ |
one of the quotes | QUANTITY | 0.66+ |
security alliance | ORGANIZATION | 0.63+ |
vice president | PERSON | 0.61+ |
interviews | QUANTITY | 0.61+ |
these | QUANTITY | 0.59+ |
investment | QUANTITY | 0.59+ |
gc | ORGANIZATION | 0.59+ |
so many great applications | QUANTITY | 0.56+ |
a few months | QUANTITY | 0.53+ |
kobe | PERSON | 0.46+ |
Marissa Freeman & Jim Jackson, HPE | HPE Discover 2020
>>from around the globe. It's the Cube covering HP Discover. Virtual experience Brought to you by HP >>Everybody welcome back to the Cube's continuous coverage of Discover 2020. That virtual experience. The Cube has been been virtualized really excited to have Marissa Freeman here. She's the chief brand officer, Hewlett Packard Enterprise. And, of course, he joined by Jim Jackson. Who's the CMO of HP? Guys, Great to see you Wish we were face to face. But thanks so much for coming on the Cube. >>Great to be here. Hope that you and your family and your friends are safe and well, >>and we're back at you both. Jim, let me start with you. So, uh, this kind of got dumped on you with this pandemic. Different mindset. You have to do a bit flip to goto virtual you talk about some of the things that you focused in on some of the things you want to keep. And some of the things you knew you couldn't. And you had to do things differently. >>Yeah, You know, we pretty much had to rethink everything about this event platforms, how we thought about messaging, how we thought about content. Um audience acquisition demos, really everything. And for us, it really all boiled down to having a vision. And our vision was to bring the Discover experience, all that energy, the excitement that you get the in person event. We wanted to bring that to all of our customers and our partners and our team members around the world. So for us, it wasn't about virtualized discover. It was about bringing the Discover experience to a 12 inch screen. In many cases for our customers and our partners and our team members, I think another thing that was really eye opening for us. Waas thinking of opening up the aperture and thinking, Hey, we can now take this and drive. This is the true global events and we can reach people all over the world, reach customers and partners that can't come to discover because they can't physically come to the event. That was a couple of things that really we had to put a lot of thought into, and it was really exciting for us. I think one other thing is now customers, and how we think about their experience at the event became very, very important for us because you know, at an in person event, it's three days, and we can you know, there's a lot of things people can do, but you have three days of content, and then people move on for us. Now. Our customers might go through three weeks or three months, and we really needed to think about that experience in a very simple, seamless, easy way for them so that they could to consume the content digitally in a way that made the most sense for them. So a lot of new thinking for us. But we're really excited about the opportunities that virtual brings in that digital brings >>now immerse. So I gotta ask you so No, no meter boards at least know for a physical meter boards, you know, How did you think about continuing that branding in a virtual event? >>Well, it's, uh, it's really a beautiful experience when you look at the the intro of the platform that we're on. It's beautifully branded all the way throughout. The branding is really coming through, though, in the content, um, and in the people, So we always say, Jim and I always say every year, Gosh, if we could just have every estimate on every prospect come to discover they would see our brand come to life they would feel are our purpose. They would understand, just with a new and different energized and fully charged a company, we are they would get to meet Antonio and Security. And Liz and Jennifer Income are honored and Jim and feel for themselves, uh, the power of the company. And now everyone can So the brand really is coming to life through the people. I appreciate that you love the the beautiful graphics, and we work really hard. Um, I'm all of that stuff, Sure, but the real branding is in the content itself. So >>now, Jim asses. Well, you were kind of lucky in the sense that, you know, this show wasn't in March or April. You had some time. So to see what others were doing. And you saw early on when this thing first hit, there were some the missteps there, There's there, still are even. But So what do you What do you tell people that is really unique about the Discover virtual experience? >>Yeah, I think a couple things and you're right. We did have a little more runway, and that was to our advantage. But we feel like we've taken full advantage of it. I think the first is coming back to that global experience that I talked about. So we're delivering this on 10 different with translating into 10 different languages, and that makes it easy for people to consume our key content around the world. We're truly delivering our content on time zones that are very appropriate, or our customers and our partners again, all around the world, in different Geos, we're bringing in our geo MVS where they are now having geo lounges, um, specific addresses and other things locally that really enables us to have that local experience. But derive it is making it part of a global event. I think another thing, Dave and you've been Teoh Discover. But you've seen that amazing Discover Expo Hall that we have out there with, you know, literally thousands of people and lots of demos. We had to figure out How do we bring that to a a ah, digital or a virtual experience? And I think the teams have done just an amazing job here. So what we did is we have 61 demos, and this is part of really 150 sessions. But if you just think of demos, we're going to deliver these live over 1717 100 times the first week. That's really, really powerful. This is >>live, meaning >>somebody from HP, a subject matter expert, talking to our customers, answering questions in real time. So that's unique. I think another thing that we're doing is we're not stopping after the first week. The first week is going to be extremely powerful and we can't wait for it. And but, you know, we're gonna extend, if you will, the value we're gonna double click and follow on Wave focused on SMB. Focus on software and containers for more of a developer, audience, Cloud services and other things like that, as well as data and storage. And then finally, I'll say, You know, we're really excited about the great speakers that we have Marissa >>talks >>about. You know, Antonio Qwerty, Irv etcetera. But we've got some great outside speakers as well. Lewis Hamilton from Mercedes Formula 16 time Formula One champion Simone Biles, uh, who's Olympian and world champion, 25 medals. We've got Steve Kerr and they're going to be part of a panel talking about performing under pressure, and we're all doing that. But it's gonna be again a great story we've got, um, John Chambers is going to be joining Antonio and talking about what great companies do during a crisis and how they prepare to come out of this kind of a situation to deliver better solutions to their customers. Soledad O Brien, who is moderating, are women leaders in I t session, and this is one of our most powerful sessions. In fact, Marissa is part of that as well. So we're really excited about this, the amount of things that we were able to bring together. And of course, we also have our CEO Summit and our Global Partner Summit happening at the same time. So we've got a lot of things that we've been able to coordinate all of this and really think about the experience from a digital in a virtual expect perspective to make it great for our customers and our partners and our attendees. A >>lot of rich content layers. Yeah. So what if you could talk about that here here to help Sort of the cultural aspects of that. What it means to your customers, your clients, your employees and your just broader community. >>Well, you know, Dave one when covert first hit the United States, we We had a lot of social media out there, a lot of digital media out there. And even before it came to the United States, when Italy and China were really suffering, we gathered as a team and audited every piece of content that we had pulled all back in. I met daily Jim and I and Jennifer temples. Teams met daily to talk about what is our tone of voice? What are we saying? How are we helping our customers get through? This time we knew how difficult it was for us with business continuity, remote workforce, we needed to help our customers and let them know that we were at the ready right now to help. So we chose to speak through the voices of our leaders. Antonio did several blocks and videos, and we rallied and redid the website completely to be all about over response and how we had many solutions for our cost. Most implement immediately from $2 billion financing Teoh setting up remote workforces, too, doing WiFi in parking lots and turning ships into hospitals. It ran the gamut, Um, and so it was really important to us that we conveyed a message of here to help. Ultimately, we ended up doing a television commercial. Antonio's voice. It was a personal letter from Antonio to his fellows, business leaders and engineers and said, Look, we know what you're going through. We're going through it ourselves. We're here to help. Here's how and it's been really motivating and successful and joy and driving people to find out more about what HP could do to help. So >>I would just add >>to what >>Murtha said. She outlined it really well. But we have some great customer examples and great customer stories as well. They're very emotional talking about how customers really needed our help and our combination of technology. People really came together to enable them to get their businesses up and running, or to address a pain point or problem for their audiences. The first point you know, there's the concept of here to help with the recovery and then here to help with the transformation as well as they look to the future. >>So how are you guys thinking about just sort of growth marketing strategies, branding strategies not only for HP but in the spirit of helping customers in this post isolation economy. Merson. Maybe you could start start us off. >>Well, we we've been talking about how this crisis has brought the future forward, nor our doorsteps. So where our customers may have been on a digital transformation path and they were accelerating it. Now there's there's an impetus to do it right now. So whether you're in recovery, um, or whether you're one of the customers for whom this crisis created a surge of demand and you needed to scale way up, these are the moments of transformation that our company is. Is there to help you with Jim? Do you want to build on that? >>Now? I think you hit the highlights there, Marissa, you know, again for us, I think we wanted to just be authentic and true to who we are as a company. And, you know, our purpose is to advance the way people live and work. And I think we live that during this time and will continue to live that as we go forward. It it's really core to who we are. And what we saw is that many of our customers really valued the fact that when they needed us the most, we were there for them and we were there for them all around the world. And, um, you know, and our goal is to continue to do that and continue to delight them and to be the best transformation partner for the future. >>I mean, culturally, we obviously re observe all this stuff, but culturally, you kind of be kind of had a heads down approach to all of this. I mean, there was there was not a hint of ambulance chasing in what you got. How you guys approach this. So I mean, I think I think culturally that here to help message it seemed like a very strong roots in citizenship. Um, you know, And then, of course, with social uprising, respect for individuals that seemed to shine through. I don't know. I know versus deliberate or that's just again cultural. Maybe >>it's it's all of the above. You can't change who you are and we need at Hewlett Packard Enterprise are people who care about other people our purpose. As Jim said, Our purpose is to advance the way people live in or every one of us every day gets up and goes to work or goes to work at home at HP to do just that. That is who we are. And so it would be an authentic for I think, true to this crisis in any other way. >>I think I wanna make an observation and see if you guys to respond. So we always talk about technology disruptions. Mercy you mentioned about, you know, the future was put forward. I'm sure you've seen the wrecking ball. You know, the folks in the building, the executives very complacent. A digital transformation not in my day. And in the 19 wrecking bald covert 19 survey, you probably saw that Who's who's leading your digital transformation CEO CTO or Covert 19. But it's really now. I mean, if you're not digital, you're not doing business. So but my observation is that it seems like despite all this technology that global disruptions are going to probably have a bigger impact in this coming decade, whether it's pandemics of social upheaval, of natural disasters, etcetera. But technology can play a huge role in supporting us through those things. Jim, I wonder if you have any thoughts on that comment. >>I mean, I think it's it's a great question, you know, if you think about it, What what happened with the macro economy Cove? It It's been a catalyst for, I think, everybody to understand that they needed to really accelerate their digital transformation. And, more importantly, they need a partner who can help them on that journey as well. I mean, if you just look at what we're talking about here >>with >>this event, right, most of h p e. And, um, you know, our >>competitors to >>cancel their virtual events >>are canceled their physical >>events rather, and they're moving now to a digital event in any way. This is going to be the new normal for us, right? So I think as we go >>forward, we're gonna >>see this only continue to accelerate. And for us, you know, our edge to cloud platform as a service strategy plays really well to helping customers accelerate that digital transformation. And, you know, it just kind of comes back to what Marissa said. You know, here to help is very very HP in terms of it's authentic and it's here. We want to be here to help our customers in their biggest hour of need. And we're doing everything we can and will continue to do that for the future as well. >>Versus, you know, having done many, many discovers we've noticed over the last several years you guys made a much bigger emphasis on the sort of post discover which a lot of organizations don't have a big physical event, and it's sort of on to the next thing. And how do you see the post from a branding standpoint? Messaging, etcetera. How do you see taking advantage of that from a virtual standpoint? And what have you learned? >>Well, we've been on our own digital transformation journey, and, you know, through Jim's leadership, we have built a pretty serious digital engine, which allows us to have a personal relationship with the customer, meet them where they are on their terms. For example, with this platform, it's even using your now because we we actually will know what content would see what sessions, what demos someone interested in. Maybe they put it, you know, on their schedule, and then didn't get to do it. So we'll go back to them later and say, Hey, we saw that you wanted to do this. It's still here. Why don't you come and have a look and then watch to that We do sort of the Netflix engine, the been newsworthy playlist of If you like that, you like this. And if you like this, you like that and we bring them through the breadcrumbs all the way through. And it's a self directed journey, but we're there to help. And that is really the true power of digital is to have that interaction, that conversation with the customer and where they want to be and with what they want to learn and read about. We'll see. >>Yeah, And everything, of course, is instrumented gym. We'll give you the last word and you were involved, as was Marissa in sort of the new HP. The new branding and the whole purpose of that was really to get Hewlett Packard enterprise focus and really back to sort of the roots of innovation. And I wonder if you could comment on from a strategy standpoint, innovation and from a competitive standpoint, you know where you're at over the last several years, we've obviously transformed as a company and where you see your competitive posture going forward. >>Yeah, you know, for us, um, we're so excited about this event because this is a great opportunity for us to showcase progress against our edge to cloud platform as a service strategy, and we roll this out last year. It's differentiated. It's unique in the marketplace. It demonstrates the transformation happening across as a service and software at Hewlett Packard Enterprise. So we are a company in transition, aligned to what we feel, our companies, our customers, biggest pain points. And when you look at some of the acquisitions that we've made some of the organic investments that we've done, we're just very well positioned to deliver against, you know, some very unique pain points that our customers have. Plus, I think another thing is, at the end of the day, really, what our customers are saying is, help me take all this data and translate that data into insight and that insight into action. You're going to hear us talk about the age of insight and how we're really again unifying across edge the cloud to deliver that for our customers. Stone. We're excited for this event because you're going to hear a significant industry revealed, focused around cloud services around software and really a lot of the things that we've been talking about. And we're going to show a lot of progress as we continue on that journey. And then, you know, Murtha mentioned digital. I'm really excited about digital because that enables us to understand and learn and help our customers and deliver a better experience for them. And then finally, you know, huge opportunity for us. Two. Take this message out globally, you know? Ah, great opportunity for people all around the world who maybe haven't heard from HP for a while to see our message, to feel the new energy to see who we are to see. Uh, you know that we're doing some very interesting things that we can help them. So we're excited. There's a lot of energy right now inside the company, and, uh, we're ready to kick it off and get rolling here. >>Well, it's quite amazing. I mean, we started off 2020 with the gut punch, but the reality is, is that 20 twenties? A lot different than 20 pens. If it weren't for technology and companies like HP here to help center, you know, we would not be in such such good shape and good in quotes. But think about it. The technology is really helping his power through this. So Jim Morrison, Thanks so much for coming on the Cube. Thank you, HB. Everything you're doing for customers in the community. Really? Thank >>you for having us. Thank you for having me. Good to see you. >>Great to see you guys to and keep it right there. Everybody, this is Dave Volante for the Cube. Our continuous coverage of hpe discover virtual experience in 2020. We're right back right after this short break. >>Yeah, yeah, yeah, yeah.
SUMMARY :
Virtual experience Brought to you by HP Guys, Great to see you Wish we were face to face. Hope that you and your family and your friends are safe and well, And some of the things you knew you couldn't. and we can you know, there's a lot of things people can do, but you have three days of content, and then people move on for boards, you know, How did you think about continuing that branding I appreciate that you love the the beautiful graphics, But So what do you What do you tell people that is really unique you know, literally thousands of people and lots of demos. And but, you know, we're gonna extend, if you will, the value we're gonna double click And of course, we also have our CEO Summit and So what if you could talk about that here here to help Well, you know, Dave one when covert first hit the United States, The first point you know, there's the concept of here to help So how are you guys thinking about just sort of growth marketing strategies, Is there to help you with I think you hit the highlights there, Marissa, you know, again for us, I mean, culturally, we obviously re observe all this stuff, but culturally, you kind of be kind of had You can't change who you are and I think I wanna make an observation and see if you guys to respond. I mean, I think it's it's a great question, you know, if you think about it, What what happened you know, our So I think as we go And for us, you know, our edge to cloud platform And how do you see the post from a branding standpoint? and say, Hey, we saw that you wanted to do this. And I wonder if you could comment on from And then finally, you know, and companies like HP here to help center, you know, we would not be in Thank you for having me. Great to see you guys to and keep it right there. Yeah, yeah, yeah,
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Antonio | PERSON | 0.99+ |
Jim | PERSON | 0.99+ |
Murtha | PERSON | 0.99+ |
Soledad O Brien | PERSON | 0.99+ |
Simone Biles | PERSON | 0.99+ |
Jim Jackson | PERSON | 0.99+ |
Jim Morrison | PERSON | 0.99+ |
Marissa Freeman | PERSON | 0.99+ |
Steve Kerr | PERSON | 0.99+ |
Liz | PERSON | 0.99+ |
Dave | PERSON | 0.99+ |
Marissa | PERSON | 0.99+ |
$2 billion | QUANTITY | 0.99+ |
61 demos | QUANTITY | 0.99+ |
HP | ORGANIZATION | 0.99+ |
John Chambers | PERSON | 0.99+ |
Jennifer | PERSON | 0.99+ |
2020 | DATE | 0.99+ |
150 sessions | QUANTITY | 0.99+ |
three days | QUANTITY | 0.99+ |
April | DATE | 0.99+ |
Lewis Hamilton | PERSON | 0.99+ |
March | DATE | 0.99+ |
three weeks | QUANTITY | 0.99+ |
Dave Volante | PERSON | 0.99+ |
10 different languages | QUANTITY | 0.99+ |
three months | QUANTITY | 0.99+ |
United States | LOCATION | 0.99+ |
Antonio Qwerty | PERSON | 0.99+ |
12 inch | QUANTITY | 0.99+ |
Hewlett Packard | ORGANIZATION | 0.99+ |
25 medals | QUANTITY | 0.99+ |
first | QUANTITY | 0.99+ |
last year | DATE | 0.99+ |
Irv | PERSON | 0.99+ |
Hewlett Packard Enterprise | ORGANIZATION | 0.99+ |
one | QUANTITY | 0.99+ |
Global Partner Summit | EVENT | 0.98+ |
20 pens | QUANTITY | 0.98+ |
first point | QUANTITY | 0.98+ |
20 twenties | QUANTITY | 0.98+ |
HPE | ORGANIZATION | 0.97+ |
10 different | QUANTITY | 0.96+ |
first week | QUANTITY | 0.96+ |
Merson | PERSON | 0.96+ |
thousands of people | QUANTITY | 0.95+ |
Discover | ORGANIZATION | 0.95+ |
both | QUANTITY | 0.95+ |
Two | QUANTITY | 0.95+ |
Mercedes | ORGANIZATION | 0.95+ |
Italy | LOCATION | 0.93+ |
Covert 19 | ORGANIZATION | 0.93+ |
Netflix | ORGANIZATION | 0.93+ |
Stone | PERSON | 0.93+ |
HB | PERSON | 0.92+ |
this coming decade | DATE | 0.9+ |
China | LOCATION | 0.89+ |
Cube | COMMERCIAL_ITEM | 0.89+ |
Gavin Jackson, UiPath | UiPath FORWARD III 2019 mp4
>>Live from Las Vegas. It's the cube covering UI path forward Americas 2019 brought to you by UI path. >>Welcome back everyone to the cubes live coverage of UI path forward here at the Bellagio in Las Vegas, Nevada. I'm your host, Rebecca Knight, co-hosting alongside at Dave Vellante. We are joined by Gavin Jackson. He is the senior vice president and managing director EMEA at UI path. Thanks so much for coming on the phone. You are brand spanking new to the company. You were at AWS for four years, joined UI path in September. I want to start this conversation by having you talk a little bit about what, what appealed to you about UI path and what do you want to make the leap after four years at AWS? >>Yeah, so I've, I had the privilege to be of really having a really close proximity to enterprise customers and getting the opportunity to listen to what they really wanted when they were talking about their digital transformation journeys. And as it turns out, the sort of cloud first and the automation first eras, if you will, our operating models are to two sides of the same coin. If you think about what the cloud proposition has been over the last number of years, it's really been about sort of reducing or eliminating the undifferentiated heavy lifting so that builders can build. And then that turned into an operating model principle and then became sort of cloud first as the same thing for the automation world. Uh, you know, we are reducing and eliminating the undifferentiated heavy lifting of, of, of, of, of product, um, uh, uh, business processes and tasks and everything else, whether they're complex tasks or simple tasks, removing that so that builders can build and business people can innovate and uh, giving them the freedom to do what they need to do as business owners. >>No, I'm going to keep pushing on this. There's similarities and differences because we're seems to break down is where RPA is focusing on the citizen developer or the, the end user. I'm afraid of AWS. I won't go near it. I see that console. I go, Oh, call my techies. Hey, you know, AWS is, you know, you gotta be pretty technical to actually leverage it. At the same time I'm thinking, well maybe not. Maybe my builders are building things that I can touch, but help us square that circle. >>So I think your, the world is trending towards as much automation as possible. So if it can be automated or if you can reduce the, the, uh, the, the, the burden to get to innovation. I think, you know, technology is moving in that way. Even in coding. I think the trends we're seeing, whether it's AWS or anyone else, is low to no code. And so we, we occupy a world within the RPA space or the intelligent automation space where we're providing tools for people that don't need a requirement or, or a skillset to code. And they can still manufacture, if you will, their own automations. And particularly with a release that we have, we're just today, which is studio X. It really kind of reduces the friction from a business user who has zero understanding of how to code to build their own automations, whether it's kind of recording a process or just dragging and dropping different components into a process. Uh, even like even I could do that. And that's saying something. I can tell you >>your alter ego is Tony stark. Yes, exactly. Yeah. So just in terms of this idea of democratizing the, the automation, the building, you said even just someone who is pretty decent at excels. Yes, very much so. What will this mean? I mean, what, what, what does, what does that bode for the future of how work gets done? Because we, that is at the core of what you're doing is scientifically understanding how and where work gets done. Where are the bottlenecks, where are the challenges and how can RPA fix this? >>So I think ultimately like a lot of technologies, it's really about the exponential curve of productivity and whether you're looking at a national level or global level or company level, a human level at every level, productivity have declined really over the last number of years and technology hasn't done a great job to improve that. And you can say that some technologies, I've done a good job, again, I'd use AWS as a good job in terms of the proliferation or the prolific. You can get more code out and more, more progress there, but overall productivity has declined. So our sort of view of the world is if you can democratize automation, if you can use a Oh, add a digital workforce to your, to your, to your teams, then you'll have an exponential curve of productivity, which are human level is important at a company level is important and national level is important and probably at global level is important, right? >>We're at this tipping point for technology really unlocking a lot of value. One of the things that your former boss, Jeff Bezos said was bet on dreamy businesses that have unlimited upside. These, these streaming businesses, customers love them. They grow to very large sizes. They have strong returns on capital and they can endure for decades. I wonder if you could put UI path in that context of a dreamy business. >>What does he know? Right. I mean, no is absolutely right. I mean, so, um, and this is one of the reasons I was attracted by the way to do UI path because I think, I think that the robust themselves, if you can just kind of look at the subcategory of the robot. Um, I think it's on a similar curve to how Gordon Moore was talking about the Intel microprocessor in 1965 and the exponential curve of progress. I think we on that similar curve. So when I sort of project five years from now, I just think that the amount that robots will be able to do, the cognitive kind of capabilities that we'll be able to do are just phenomenal. So, um, and customers, customers give us feedback all the time about to, to things they love and they value what we do. The value is important because it's very empirical for the first time they can actually deploy a technology and see almost an immediate return on that technology. >>Whether it's a point technology solving one process or a group of processes, they can see an immediate empirical return. The other thing that I like to measure and I quite like is that they value it. Sorry. They, they, they love, they love and value it. So they love it. Meaning it actually induces an emotion. So when you, when you watch the robots in action and they watch something that has been holding your team back or that has been stifling productivity or whatever it is, people get giddy about it. It's quite fascinating to see, comment about Gordon Moore and tie that to digital transformation. When I think of digital transformation, I think of data like what's the difference in a business in a digital business? That's how they use data. They put data at the core and for years we marched to the cadence of Moore's law and that's changed. >>It's not what the innovation engine is today. It's machine intelligence, it's data and it's cloud for scale. Where do you guys fit? I mean obviously AI is a piece of that, but, but maybe you could add some color to where RPA fits in that equation. So I think that's an important point because there's a lot of miscommunication. I think about really what it means when you talk about digital transformation and what it means to be digitally transformed and really digitally transformed. You're really talking about a category of customers which are large more institutional enterprises and governments because they have something to transform. What they're transforming into is more of a digital native sort of set of attributes, more in search and mindsets. And these companies are, to your point, they're very data hungry. They harvest as much data as they can from, from value, from data. >>They're very customer centric. They focus on the customer experience, they use other people's resources. Know the cloud being one great example of that and the missing point from what you said is they automate everything they born automated. So part of the digital transformation journey is that if it can be automated, it will be automated and anything that's new will be born automated. So let me ask you a follow up on that. Is there a cultural difference in AMEA versus what you're seeing in North America in terms of their receptivity to automation? I mean there are certain parts of of Europe which are more protective of jobs. Do you see a cultural difference or are they kind of, I mean we do see even some resistance here, but when you talk to customers they're like, no, it's wonderful. I love it. What are you seeing in Europe? >>So I don't, I don't see much of a cultural difference there. And I actually don't, I don't see yet. I haven't seen any feedback yet. It's very, I'm very new still, but I haven't seen anybody talk about really the, this technology is a technology to take jobs out. I think most people see this technology as a way of getting better performance at the humans, you know, pivoting them towards more. So I would say like in some markets in my, in my, in my prior life, in many prior lives, I would say that there are some countries like France for example, that would have been a little bit more stayed within their approach to new technologies and adoption, not so with regards to automation. They see this as a real gain productivity increase. I think that's true for people who have tasted it. But I do think there's still some reticence in the ranks until they actually experienced it. That's why we will talk to some customers about it. They'll have bought Athens and just just to yeah, to educate people on what's possible to let them try to build their own robots and then people, then the light bulbs go off. >>Yeah. That's 0.2 is that it, that it's taking away the aggravations, the frustrations, the mundane, the drudgery. And then you said people get giddy about those things when they don't have to do that anymore. Um, but then the question is also so, so what creative things are you doing now? So how are you spending your time? What are you doing differently that makes your job more interesting, more compelling? And I think that that's the real question too. So what is the, okay, yes we're saving some money and people aren't having to do this mundane tasks. But then what are, what is the value add that the employees are now bringing to the table? >>Yeah, so an actually said it and they've made the right point as well in terms of the mechanism for doing that is that part of the battle here is to spark the imagination and just like anything really just let it like in back in the Amazon world is sort of our spark in the imagination. If you can, if you can imagine it, you can build it. It's the same thing really with within our world now is it is figuring out with customers what things, what tasks did they do that they hate doing either a user level or a or a or a downstream level. What are the things that they really want to do that they need our help to harvest. And so we do the same sort of the same sort of things that we would have done with AWS where we did lots of hackathons and your bulldozer technology partners in with us and we were sort of building all of this. >>We do the exactly the same thing with the RPA space. It's exactly the same. This is really important because creativity is going to become an increasingly important component because if productivity goes up, it means you can do the same amount of work with less people. So it is going to impact jobs and people are going to have to be comfortable to get out of their comfort zone and become creative and find ways to apply these technologies to really advance, you know, drive value to their organizations. And actually I look at this as well as a longterm technology, right? As a longterm technology, as something that's important for my children. I have three and they're still very young, so 1210 and six but eventually they will go into the workplace with these skills embedded. They will just know that the, how you get one done is you have your robot do a whole load of task for you here and your, your job is to build and to be creative and to harvest data and to manipulate data and serve customers and focus on the customer experience. That's really what it's all about. The real brain. >>Absolutely. Absolutely. Kevin, a pleasure having you on the show. Great luck at UI path. Thank you so much. I appreciate it. I'm Rebecca Knight for J for Dave Alante. Please stay tuned for more from the cubes live coverage of UI path coming up in just a little bit.
SUMMARY :
forward Americas 2019 brought to you by UI path. I want to start this conversation by having you talk a little bit Yeah, so I've, I had the privilege to be of really having a really close proximity Hey, you know, AWS is, you know, you gotta be pretty I think, you know, technology is moving in that way. of democratizing the, the automation, the building, you said even just someone who is pretty decent at excels. So our sort of view of the world is if you can democratize automation, I wonder if you could put UI I think that the robust themselves, if you can just kind of look at the subcategory of the robot. I think of data like what's the difference in a business in a digital business? I think about really what it means when you talk about digital transformation and Know the cloud being one great example of that and the missing point from what you said is they automate And I actually don't, I don't see yet. So how are you spending your time? that part of the battle here is to spark the imagination and just creativity is going to become an increasingly important component because if productivity goes up, it means you can do the same amount of work Kevin, a pleasure having you on the show.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Jeff Bezos | PERSON | 0.99+ |
Rebecca Knight | PERSON | 0.99+ |
Kevin | PERSON | 0.99+ |
Europe | LOCATION | 0.99+ |
Gavin Jackson | PERSON | 0.99+ |
September | DATE | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Gordon Moore | PERSON | 0.99+ |
three | QUANTITY | 0.99+ |
Moore | PERSON | 0.99+ |
Dave Alante | PERSON | 0.99+ |
North America | LOCATION | 0.99+ |
Las Vegas | LOCATION | 0.99+ |
four years | QUANTITY | 0.99+ |
1965 | DATE | 0.99+ |
EMEA | ORGANIZATION | 0.99+ |
two sides | QUANTITY | 0.99+ |
one | QUANTITY | 0.99+ |
Intel | ORGANIZATION | 0.99+ |
Las Vegas, Nevada | LOCATION | 0.98+ |
Tony stark | PERSON | 0.98+ |
six | QUANTITY | 0.98+ |
Amazon | ORGANIZATION | 0.97+ |
UI path | TITLE | 0.97+ |
today | DATE | 0.97+ |
first | QUANTITY | 0.96+ |
UiPath | ORGANIZATION | 0.96+ |
first time | QUANTITY | 0.95+ |
UI path | ORGANIZATION | 0.95+ |
One | QUANTITY | 0.94+ |
2019 | DATE | 0.94+ |
France | LOCATION | 0.94+ |
decades | QUANTITY | 0.9+ |
studio X. | ORGANIZATION | 0.87+ |
FORWARD III | TITLE | 0.81+ |
one process | QUANTITY | 0.81+ |
Dave Vellante | PERSON | 0.79+ |
AMEA | ORGANIZATION | 0.77+ |
Athens | ORGANIZATION | 0.76+ |
zero | QUANTITY | 0.71+ |
UI | TITLE | 0.68+ |
five years | QUANTITY | 0.66+ |
Americas 2019 | EVENT | 0.62+ |
Bellagio | LOCATION | 0.6+ |
vice president | PERSON | 0.54+ |
path | ORGANIZATION | 0.52+ |
1210 | QUANTITY | 0.47+ |
Gavin Jackson, UiPath | UiPath FORWARD III 2019
you live from Las Vegas it's the cube covering you I pat forward America's 2019 brought to you by uipath welcome back everyone to the cubes live coverage of UI path forward here at the Bellagio in Las Vegas Nevada I'm your host Rebecca night co-hosting alongside Dave Volante we are joined by Gavin Jackson he is the senior vice president and managing director amia at uipath thanks so much for coming you are brand spanking new to brands thanking you AWS for four years yeah joined UI paths in September yeah I want to start this conversation by having you talk a little bit about what what appealed to you about UI path and what more do you want to make the leap after four years at AWS yeah so I had the privilege to be west of really having a really close proximity to enterprise customers and getting the opportunity to listen to what they really wanted when they were talking about their digital transformation journeys and as it turns out the sort of cloud first in the automation first eras if you will are operating models at to two sides of the same coin if you think about what the that the cloud proposition has been over the last number of years it's really been about sort of reducing or eliminating the undifferentiated heavy lifting so that builders can build and then that turned into an operating model principle and it became sort of cloud first it's the same thing for the automation world you know we are reducing and eliminating the undifferentiated heavy lifting of Tata a product of business processes and tasks and everything else whether they're complex tasks or simple tasks removing that so that builders can build and business people can innovate and given them the freedom to do what they need to do as business owners think about AWS we obviously follow them very closely yeah anybody but it strikes you didn't thank you such are filters yeah what's the analog so what I think we again I would say that we are we are providing tools so the builders could build but at the same time our our products that works across the entire business stack whether that is sort of automation first as an operating principle across all businesses or whether it's across a business persona whether it's a CFO or somebody in accounts or a salesperson or whatever might be we're building tools that take the mundane tasks away from those users so that they have the freedom to go and serve their customers or or innovate within finance or do the do the job that they really love doing and that's really important for the business it turns out there's not a lot of value and a lot of the work that people do every day so if we can remove some of that then innovation will have an exponential curve of progress and that's what we're focused on today yes yeah again there are similarities there so if I understand the you're shifting one date asked allowing people freeing them up to do so that they can have a strategic impact in their business yes yeah yeah I think it is so if you look at even the technology paradigms and how cloud and AWS evolved and then also the layer on how uipath is evolving in the same way so you have computing and compute power started really with the mainframe and went to distributed servers and then to virtual machines and then from virtual machines it went to hosted virtual machines in the cloud and then from then it went to containers and now we're in this world of server lists we're in the cloud right so effectively the logic lives in server lists and the infrastructure sort of disappears and that provides massive scale in the automation world you started off with big monolithic processes you then had sort of network processes with software and data in the middle of all of that networked RPA really came in as an early sort of tool to help automate a lot of that a lot of processes and now in the realms of sort of automation as a function where in the end like the end game really is where automation is the application and the the applications themselves the data sources the processes really disappear so that the best done analogy I can come up with a metaphor acting um up with is I'm a Marvel fan I'm a geeky kind of Marvel fan of my favorite character is his Iron Man or Tony Stark and more specifically the Jarvis AI so what's happening all the time with with Tony Stark in the Jarvis a is he's interacting with his AI user interface all the time and what's happening in the background is that Java she's working with probably you know a hundred different applications and a hundred different data sources and everything else and rather than having you know a human go and do what the integration work that robots are doing that for him and it's just coming back as a as an outcome yeah I'm gonna keep pushing on this yeah similarities and differences because where it seems to break down is where our PA is focusing on the citizen developer the the end-user I'm afraid of AWS I won't go near it I see that console I call it my techies hey you know AWS is you know you got to be you know pretty technical to actually leverage it at the same time I'm thinking well maybe not maybe my builders are building things that I can touch but help us square that circle yeah so I think you the world is trending towards as much automation as possible so if it can be automated or if you can reduce the the burden to get to innovation I think you know technology is moving that way even in coding I think the transit we're seeing whether it's AWS or anyone else is low to no code and so we we occupy a world within the RPA space or the intelligent automation space where we're providing tools for people that don't need a requirement or or a skill set to code and they can still manufacture a few world their own automations and particularly with a release that we're just announcing today which is Studio X it really kind of reduces the friction from a business user where's zero understanding of how to code to build their own automations whether it's kind of recording a process or just dragging and dropping different components into a process even like even I could do that and that's saying something I can tell you yes exactly yeah this idea of democratizing the the automation the building that you said yeah very much so what will this mean I mean what what does what does that bode for the future of how work gets done because that is at the core of what you're doing is typically understanding how and where work gets done or the bottlenecks where the challenges and how can our PA fix this so I think ultimately like a lot of technologies it's really about the the exponential curve of productivity and whether you're looking at a national level a global level a company level a human level every level productivity has declined really over the last number of years and technology hasn't done a great job to improve that and you can say that some technologies have done a good job again I'd use a TBS is a good job in terms of the proliferation or the how prolific you can get more code out and more more progress there but overall productivity has declined so our sort of view of the world is if you can democratize automation if you can use or add a digital workforce to your to your to your teams then you'll have an exponential curve of productivity which a human level is important company level is important a national level is important and probably at global level is important you know you guys might be right place right time as well yeah because I remember you know all the spending in the 80s said receive growth everywhere except the Nobel prize-winning economist Robert Solow yeah [Laughter] [Music] you guys are hitting it right at the right time yeah you be able to take credit for a lot of it but yeah your thoughts on that in terms of productivity depending yeah I think it is pent up I think that is where where we're at right now and it's ready to be unleashed and I think that these technologies are are the technologies that will unleash it I think really what's happened over the last number of decades probably is that the six trillion dollar IT industry they exist today has largely kind of increased productivity or performance of other technologies it hasn't really increased output so whether it's sort of you know the core networking when Cisco started core networking there was a big increase I would imagine in connectivity and outputs then the technologies that were laid on top of that maybe less so and it was just really kind of putting bad band-aids on problems so it was really technology solving technology problems rather than technology solving human output problems and so I think that this is now the most tangible technology category that really is turning technology into value and productivity for technology really unlocking a lot of value one of the things that your former boss Jeff Bezos said was bet on dreamy businesses that have unlimited upside these these dreamy businesses customers love them they grow to very large sizes they have strong returns on capital and they can endure for decades I wonder if you could put you iPad in that context of a dreamy business what does he know right I mean nobody right I mean so and this is one of the reasons I was attracted by the way to DUI path because I think I think that the robots themselves if you can just kind of look at the subcategory of the robot I think it's on a similar curve to how Gordon Moore was talking about the Intel microprocessor in 1965 and the exponential curve of progress I think we were on that similar curve so when I sort of project five years from now I just think that the amount the robots will be able to do the cognitive kind of capabilities it will be able to do are just phenomenal so and customers customers give us feedback all the time about to two things they love and they value what we do the value is important because it's very empirical for the first time they can actually deploy a technology and see almost an immediate return on their technology whether it's a point technology solving one process or a group of processes they can see an immediate empirical return the other thing that I like to measure I quite like is that they value it so they think they love it they love and value it so they love it meaning it actually induces an emotion so when you when you watch the robots in action and they watch something that has been holding your team back or there's been stifling productivity or whatever it is people get giddy about it it's quite fascinating to see comment about Gordon Moore and Ty that's a digital transformation when I think of digital transformation I think of data yeah what's the difference in a business in a digital business it's how they use data yeah they put data at the core and four years we march to the cadence of Moore's law and that's changed its that that's not what the innovation the engine is today it's it's machine intelligence it's data and it's cloud for scale where do you guys fit I mean obviously AI is a piece of that but but maybe you could add some color to where our PA fits in that equation so I think that's an important point because there's a lot of miscommunication I think about really what it means when you talk about digital transformation and what it means to be digitally transformed and really to see transformed you're really talking about a category of customers which are large more institutional enterprises and governments because they have something to transform what they're transforming into is more of a digital native sort of set of attributes more insurgent mindsets and these companies are to your point they're very data hungry they harvest as much data as they can from from value from data they're very customer centric they focus on the customer experience they use other people's resources oh the cloud being one great example of that and the missing point from what you said is they automate everything they've to meet it so part of the digital transformation journey is if it can be automated it will be automated and anything that's new will be born automated so let me ask a follow-up on that is there a cultural difference in amia versus what you're seeing in North America in terms of the receptivity to automation I mean there are certain parts of of Europe which are you know more protective of jobs do you see a cultural difference or are they kind of I mean we do see even some resistance here but when you talk to customers they're like no it's it's wonderful I love it what are you seeing in Europe so I don't I don't see much of a cultural difference there and I see don't I don't see yet I haven't seen any feedback yes Peres I'm very new still but I haven't seen anybody talk about really that this technology is a technology to take jobs out I think most people see this technology as a way of getting better performance out of humans you know pivoting them towards more so I would say like in some markets in my in my in my prior life in in many prior lives I would say that there's some countries like France for example that would have been a little bit more stayed within their approach to new technologies and adoption not so with regards to automation they see this as a real and game productivity increase thank you I think that's true for people who have tasted it yeah but I do think there's still some reticence in the ranks until they actually experience it that's why we'll talk to some customers about it they'll have bought a Thon's and just a yeah to educate people and what's possible to let them try to build their own robots and then people then the light bulbs go off that it's taking away the aggravations the frustrations the mundi the drudgery and then you said people get giddy about those things you don't have to do that yeah but then the question is also so so what creative things are you doing now so how are you spending your time what are you doing differently that makes your job more interesting more compelling yeah and and and I think that's the real question - so what is the okay yes receiving some money and people aren't having to do those mundane tasks but then what are what is the value add that the employees are now bringing to the table yeah so in actually sit and it takes made the right point as well in terms of the mechanism for doing that is the the part of the battle here is to spark the imagination just like anything really just let you like it back in the Amazon wild it's all of our spark in the imagination if you can if you can imagine it you can build it it's the same thing really with within our world now is figuring out with customers what think what tasks do they do that they hate doing either a user level or a downstream level what are the things that they really want to do that they need our help to harvest and so we do the same sort the same sort of things that we would have done with AWS where we did lots of hackathons and you bought lots of technology partners in with us and we would sort of building all of this we do exactly the same thing with the RP a space it's exactly the same this is really important because creativity is going to become an increasingly important because if productivity goes up it means you can do the same amount of work with less people so it is going to impact jobs and people are gonna have to be comfortable to get out of their comfort zone and become creative and find ways to apply these technologies to really advance but you know drive value to their organizations and actually I look at this as well as a long term technology whereas a long term technology is something that's important for my children I've three and they're still very young so twelve ten and six but eventually they will go into the workplace with these skills embedded they will just know the how you get work done is you have your robot do a whole load of tasks for you here and your your job is to build and to be creative and to harvest data and to manipulate data and and serve customers and focus on the customer experience that's really what it's all about the real brain works I've been a pleasure having you on the show at uipath thank you so much appreciate it i'm rebecca night for j4 day Volante please stay tuned for more from the cubes live coverage of uipath coming up in just a little bit
**Summary and Sentiment Analysis are not been shown because of improper transcript**
ENTITIES
Entity | Category | Confidence |
---|---|---|
Jeff Bezos | PERSON | 0.99+ |
Dave Volante | PERSON | 0.99+ |
Gavin Jackson | PERSON | 0.99+ |
Europe | LOCATION | 0.99+ |
Gordon Moore | PERSON | 0.99+ |
1965 | DATE | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Moore | PERSON | 0.99+ |
three | QUANTITY | 0.99+ |
Robert Solow | PERSON | 0.99+ |
Las Vegas | LOCATION | 0.99+ |
six | QUANTITY | 0.99+ |
North America | LOCATION | 0.99+ |
September | DATE | 0.99+ |
iPad | COMMERCIAL_ITEM | 0.99+ |
six trillion dollar | QUANTITY | 0.99+ |
Tony Stark | PERSON | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
uipath | ORGANIZATION | 0.99+ |
two sides | QUANTITY | 0.99+ |
four years | QUANTITY | 0.99+ |
Java | TITLE | 0.98+ |
a hundred different data sources | QUANTITY | 0.98+ |
first time | QUANTITY | 0.98+ |
one | QUANTITY | 0.98+ |
two things | QUANTITY | 0.97+ |
Intel | ORGANIZATION | 0.97+ |
Studio X | TITLE | 0.97+ |
Marvel | ORGANIZATION | 0.97+ |
Ty | PERSON | 0.96+ |
Peres | PERSON | 0.95+ |
2019 | DATE | 0.95+ |
first | QUANTITY | 0.95+ |
UI path | TITLE | 0.95+ |
four years | QUANTITY | 0.95+ |
a hundred different applications | QUANTITY | 0.94+ |
Jarvis | PERSON | 0.94+ |
today | DATE | 0.94+ |
UiPath | ORGANIZATION | 0.94+ |
Iron Man | PERSON | 0.94+ |
Nobel prize | TITLE | 0.93+ |
America | LOCATION | 0.93+ |
decades | QUANTITY | 0.92+ |
five years | QUANTITY | 0.91+ |
twelve ten | QUANTITY | 0.91+ |
Amazon | ORGANIZATION | 0.9+ |
one of the reasons | QUANTITY | 0.88+ |
Las Vegas Nevada | LOCATION | 0.87+ |
FORWARD III | TITLE | 0.86+ |
one date | QUANTITY | 0.85+ |
TBS | ORGANIZATION | 0.85+ |
80s | DATE | 0.83+ |
lots of hackathons | QUANTITY | 0.83+ |
Rebecca night | PERSON | 0.82+ |
France | LOCATION | 0.79+ |
zero | QUANTITY | 0.78+ |
every day | QUANTITY | 0.78+ |
Bellagio | LOCATION | 0.77+ |
a lot of the | QUANTITY | 0.74+ |
amia | PERSON | 0.72+ |
UiPath | TITLE | 0.7+ |
last number of decades | DATE | 0.69+ |
UI paths | TITLE | 0.66+ |
Tata | ORGANIZATION | 0.63+ |
technology | QUANTITY | 0.59+ |
lots | QUANTITY | 0.58+ |
uipath | TITLE | 0.58+ |
things | QUANTITY | 0.55+ |
Thon | ORGANIZATION | 0.5+ |
years | QUANTITY | 0.46+ |
j4 | EVENT | 0.4+ |
Volante | ORGANIZATION | 0.32+ |
Kevin L. Jackson, GovCloud | Citrix Synergy 2019
>> Narrator: Live from Atlanta, Georgia, it's theCUBE, covering Citrix Synergy, Atlanta, 2019. Brought to you by Citrix. >> Hi, welcome back to theCUBE. Lisa Martin here, at Citrix Synergy 2019 in Atlanta, Georgia, with Keith Townsend, and we're pleased to welcome to theCUBE, Kevin Jackson, the founder of GovCloud. Kevin, welcome to theCUBE. >> Thank you very much for the opportunity. >> So this has been an exciting day. Keith and I have been geeking out all day, starting with the keynote this morning. Talking about employee experience is so relevant, theCUBE covers a ton of technology events, we don't often hear about employee experience as a catalyst to digital transformation, but it is. >> No, absolutely. Citrix, the keynote today was just very impressive. Not because of technology, and not that it wasn't impressive, but it was the focus. Today's world has really been focused around digital transformation. What processes in your organization are the right ones? And Citrix has developed and is delivering tools to help organizations understand those processes which should be digitized, and it's really about the employee experience because companies in the commercial world, in the consumer space, have really focused on consumer experience and customer experience. Those that have been successful in doing that have seen their market share grow. Well, this is all about looking at your employee experience. Instead of looking outside, look inside. If you're able to improve your employee experience, you get more efficiency, you get better employees, and you get better products and services. >> So Kevin, talk to us about the importance of examining your processes prior to automating. I was visiting my parents the other day and they're remodeling their home, and I said, you know, I made a joke about how we automate in ITS, I said you know what, you guys are moving much too slow, I'm going to buy you two more saws, so you can go faster. And a lot of times I feel like that's the way we tackle automation and process improvement. What have you seen out in the field, and where should companies start versus where they do start? >> So one of the biggest problems companies have is their history. They have a process that they've done for years, in their eyes it's been very successful, and I'm not saying it wasn't successful, but it was successful in a different era, successful in a different environment. Today's environment moves much faster. It's much broader. It's not regionalized. It's international. So organizations need to understand what their processes are, and which of their old processes can actually be effective in the new environment. Many of them can be, but they need to be tweaked. They need to be updated. They may need to be entirely changed. When those processes were designed, you didn't have customers with smart phones that can access your products and services. We're going from a physical world to a virtual world. So the first thing is to understand which processes need to be digitized. Maybe the saws were a good thing, but maybe they weren't. Maybe they need a level to go faster and to go better, to improve the quality of the output, not necessarily cutting more wood. >> So these changes are subtle. How does Citrix help kind of break down the processes and help you determine? You know, one of the things that we learnt, early cloud. It's not wise to put everything in the cloud up front, it's what makes a difference and moves the ball. David talked a lot this morning about employees want to move the ball forward. How does Citrix help move the ball forward in determining what processes should be automated? >> Yeah, great question. One of the biggest problems with cloud computing is sort of the adoption of the cloud-first policy. People misunderstood that policy and many companies misunderstand the implementation of that today. Cloud-first doesn't mean put everything in the cloud and get rid of all your legacy, it means evaluate cloud first and make a decision as to what data should go in the cloud and what processes should go in the cloud. Any organization of any significant size is still going to need legacy data centers. They still may need managed services, and cloud computing would be part of that hybrid mix. So what Citrix is doing is providing the tools so that you can get the data about the processes and understand which data should go in the cloud, which data should stay in your legacy data center, and which data could be managed by manage service providers. So customers, Citrix customers that actually leverage this intelligent workspace have the required tool to do digital transformation. >> When you're out talking with customers in different industries, public sector, government, where are they in understanding how critical the employee experience is, from recruiting and onboarding, to actually those employees interfacing with their customers? I mean, it's such a critical function. >> Oh, absolutely, and digital transformation is really not about the technology as much as it's about the culture. Organizations that undergo this journey oftentimes forget about the cultural transformation that needs to occur within the organization. And that means training, that means education, and it also means redefining the roles within the organization. Citrix provides many of the tools for helping employees understand their role, redefining their role, educating employees. So all of this is critical to digital transformation. >> And that's not easy to do, as well. I think this morning, and I've heard this recently from a number of events I've covered, is there are five generations active in the workforce today. So you've got my parents, the baby boomers, you've got the generation younger, too, younger than I am, who were born on smart devices, and there's different expectations, there's different levels of technology expertise, so companies like Citrix have to really balance that employee experience across five generations with very different expectations. >> Yeah, absolutely. I was talking to a colleague of mine and he was relaying a story to me when an employee was working an application, right? And he finished the task, went home, came back the next day and all the work was gone, and the employee was saying, "What happened? "I worked hard on it, it took me hours." And the manager said, "Well did you save it?" And he said, "Well what's that?" (laughs) Because if you're born in the cloud you don't press a button to save, it's automatic. This was a millennial that was born with technology and actually didn't understand the concept of having to save something, because it was always in the cloud. This is cultural, and you need to address this culture when you are improving and modifying your business processes. >> So when you're an organization of any size you can look at this employee experience journey and be overwhelmed, and think, wow. You know what, you could hear a story like that and say, "Where do I start to change?" Like my SAP app, you're still going to have to hit save, that's not going to change tomorrow. So where's the starting point? >> Really, the starting point is data. Collecting data, understanding the data, interpreting the data, because then you can make the appropriate decisions within the context of what your organization or industry is doing. Although I do a lot of public sector, most of my work today is in commercial industry, and employees are in an environment that's forever changing, where their context changes from second to second. They're doing one application then doing another application. They're responding to a client or customer, then responding to a colleague, and then immediately responding to the manager. This context switching is normal for computers but it's not normal for people, so this is important as you move forward in the world. >> So what I'm hearing is a term, an SAP coin, X-data, experience data. The idea that you need to collect, as much pressure as we're under to transform digitally, the first step is to collect and analyze the data. One of the questions I put towards another analyst was where is this data coming from? I know the data is because people are doing stuff, and there's a trail somewhere, but where do I go first to start as the indicator to collect this data to analyze? >> Well the old school method of doing that would be a survey, or you would observe a worker. Now the actual act of conducting a survey or observing work changes the work process. All right, so the data that you get from that can also be colored or flawed based upon the observer. Citrix experience, their desktop has artificial intelligence built into it. The worker can actually do their task, unbeknownst to them that they are being observed, that the data is being collected with respect to that process. Don't get scared, this is not George Orwell in 1984, though that's been a while, I guess. It's not Big Brother looking at you. The data is anonymized, right? It's not about you, it's about the task that you're completing. So you now have a tool to collect real data and you can continue to collect that data because processes have a life, they change. So you can monitor that, and update and tweak it. >> And an important outcome of that data collection and analysis is delivery, using it to deliver a personalized experience to the user, regardless of generation, how born in the cloud they were or not. >> Absolutely. And now, you're heading back to that cultural aspect. The digital transformation is really cultural transformation. >> Then another aspect, no, output of that, is that you could correlate this X-data with operational data and see where there's human error. So your processes analysis, you champion process analysis, you can say, okay, where are we making the most mistakes, because we're having a human translate something from one screen to another, while we see where this error rate is coming up and now we can automate or modernize this process to improve the overall not only employee experience but customer experience as well. >> Yeah, absolutely. It's important to understand not just the investment that you're making in any process, but the return you're getting from that process. By collecting data, you can determine if value is being delivered not just to the organization, but to your customers. So this ROI, return on investment, is often not just about money. It's about the value of the employee, and you can actually measure that value. Measure what they're doing, measure the return, and drive better environments, better employees, better outcomes based on the data. >> And that's got to elevate up to the C-suite as a business imperative, to understand that ROI, because those are employees that in many facets are involved and connected with those customers who are paying for products and services. So those employees, whether they're in sales or marketing, or finance, or legal, or a contact center, they're critical touchpoints to your customers. If their experience isn't great and they decide to leave, that customer experience, that's a possible brand reputation challenge. >> No, absolutely. And you touched upon touchpoints, right? In the past, you basically knew how your client was going to interact with you. Dissimilarly, you need to understand how your employee interacts with the organization. They're not going to just be in a cube interacting with the IT every day. They may be at home. They may, in the very near future, not today, they may be interacting with Alexa to get your information, or through Alexa with one of your clients and one of your customers. How do you manage that touchpoint? Well, with tools like Citrix, they are actually giving you the ability to normalize data across multiple channels, across multiple touchpoints, so you can make sure you have the same experience, the preferred experience with your clients and customers as well as with your employees. >> Serious impact. Well, Kevin, thank you so much for joining Keith and me on theCUBE this afternoon. >> It was very enjoyable, thank you. >> Good, our pleasure. >> For Keith Townsend, I'm Lisa Martin. You're watching theCUBE live, day one of our coverage of Citrix Synergy 2019. Thanks for watching. (percussive music)
SUMMARY :
Brought to you by Citrix. Kevin Jackson, the founder of GovCloud. as a catalyst to digital transformation, and it's really about the employee experience I'm going to buy you two more saws, So the first thing is to understand which processes and help you determine? so that you can get the data about the processes how critical the employee experience is, So all of this is critical to digital transformation. And that's not easy to do, as well. And the manager said, "Well did you save it?" and say, "Where do I start to change?" and then immediately responding to the manager. as the indicator to collect this data to analyze? All right, so the data that you get from that how born in the cloud they were or not. And now, you're heading back to that cultural aspect. is that you could correlate this X-data and you can actually measure that value. And that's got to elevate up to the C-suite In the past, you basically knew Well, Kevin, thank you so much of Citrix Synergy 2019.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
David | PERSON | 0.99+ |
Keith | PERSON | 0.99+ |
Lisa Martin | PERSON | 0.99+ |
Keith Townsend | PERSON | 0.99+ |
Kevin Jackson | PERSON | 0.99+ |
Kevin | PERSON | 0.99+ |
1984 | DATE | 0.99+ |
Kevin L. Jackson | PERSON | 0.99+ |
George Orwell | PERSON | 0.99+ |
Citrix | ORGANIZATION | 0.99+ |
first step | QUANTITY | 0.99+ |
Atlanta, Georgia | LOCATION | 0.99+ |
today | DATE | 0.99+ |
one | QUANTITY | 0.99+ |
tomorrow | DATE | 0.99+ |
Today | DATE | 0.99+ |
one application | QUANTITY | 0.99+ |
One | QUANTITY | 0.99+ |
Alexa | TITLE | 0.99+ |
GovCloud | ORGANIZATION | 0.98+ |
first | QUANTITY | 0.98+ |
second | QUANTITY | 0.98+ |
Atlanta | LOCATION | 0.98+ |
theCUBE | ORGANIZATION | 0.98+ |
two more saws | QUANTITY | 0.98+ |
next day | DATE | 0.97+ |
five generations | QUANTITY | 0.97+ |
this morning | DATE | 0.96+ |
first thing | QUANTITY | 0.96+ |
Citrix Synergy | ORGANIZATION | 0.95+ |
Citrix | TITLE | 0.93+ |
SAP | TITLE | 0.92+ |
one screen | QUANTITY | 0.92+ |
this afternoon | DATE | 0.9+ |
Big Broth | PERSON | 0.89+ |
One of | QUANTITY | 0.84+ |
SAP | ORGANIZATION | 0.83+ |
Citrix Synergy 2019 | TITLE | 0.81+ |
Citrix Synergy | TITLE | 0.79+ |
years | QUANTITY | 0.72+ |
Citrix Synergy 2019 | EVENT | 0.71+ |
GovCloud | PERSON | 0.69+ |
2019 | DATE | 0.66+ |
day one | QUANTITY | 0.65+ |
questions | QUANTITY | 0.64+ |
Narrator | TITLE | 0.58+ |
Jim Jackson & Jason Newton, HPE | HPE Discover 2017 Madrid
(tech music) >> Announcer: Live from Madrid, Spain, it's the CUBE, covering HPE Discover Madrid 2017 brought to you by Hewlett Packard Enterprise. >> Welcome back to Madrid everybody this is the CUBE. The leader in live tech coverage. This is day one of our coverage of HPE Discover 2017. I'm Dave Vollante with my co-host Peter Burris. Jim Jackson is here, he's the senior vice president of the Enterprise Group at Hewlett Packard Enterprise. >> Happy to be here. Good to see you again and Jason Newton, vice president of global marketing at Hewlett Packard Enterprise. Guys, it wouldn't be a Discover without some big news, transitioning to Antonio. We're about to hear the key note but Jim, set up the week for us. The big news that we can expect. Show us a little leg. >> Yeah well first of all, thanks for having us here guys. We're really excited for this week. It's gonna be probably one of our biggest weeks of innovation. We've got a pretty amazing Discover lined up. So you're gonna see us talk about AI in the data center, so bringing predictive analytics from our Nimble acquisition it's called info site. We're extending that to three par so that really helps our customers predict and anticipate problems and solve them in advance. So that's really software-based leading with that. Another area is we're bringing consumption-based capabilities. A whole new suite of consumption offerings. We're branding it HPE Green Lake and it's really, think of purpose-built solutions for things like backup, SAP, data like environments but it's really outcomes as a service. So we're not able to give our customers the ability to have infrastructure as a service, and now outcomes as a service. And the other part of making hybrid IT simple that you're gonna hear about is how we're really helping our customers unify and manage that multi cloud environment. So applications are sitting in public clouds, private clouds, what we're hearing from our customers is, hey we need to be able to manage this a lot easier and have holistic ability to see all of that. So you're gonna see us talk about that on main stage as well. So new brands, a lot of innovation. We've also got some partnerships that we'll be rolling out later today. So a lot happening. >> Jason, you've spent a lot of time, sweat, toil, blood on branding. Obviously you're a big part of the branding exercise. Up leveling the messaging, we had you on two or three years ago, and you said, look, we're gonna change things. We're gonna shift the focus from product and widgets and really talk about what customers care about. How has that gone? Where are you at with that? It resonates extremely well with customers. In fact we just got out of a panel where we had four of our top customers, ABV, Dreamworks, IKEA and Nokia. And we just spent an hour just talking about their digital transformation journey and what they're all about. The room was packed. I think we had over 400 people who were in there. That's showing that we can be an innovation partner to those customers enabling them to share their stories at a venue like this is really powerful. >> We're becoming much more software and services led and it's really all about experiences. Providing that experience that our customers are looking for. >> Just follow up to that, so a lot of people think oh well HP, spun merge it's software business but you're leading with services and software. So help us clear that. >> We're doing a ton in software today. So if you just think of our software portfolio. We have HP 1V to manage our customers complete infrastructure estate, service storage and networking. We extended that last year with composability so HP and Synergy, we have over a thousand new customers since we announced that last year actually at this event. So we're seeing a lot of progress. Synergy enables our customers to really have one environment that can flex to the needs of multiple different applications so reduces over provisioning. AI, I talked about AI in the data center. So what we're doing with info site, that's software based, we're extending that to 3PAR and you'll see us extend that to other parts of the portfolio going forward. Nyara, and on the Aruba side of the house, software based. Aruba is very software centric and then of course, we'll be announcing this afternoon our code name project new stack, really about helping to manage that multi cloud environment. A lot happening in the software space and an area that we're very focused on. >> One of the things... By the way, we think that those three things that you mentioned, automation in the data center, on-premise capabilities and a cross multi cloud approach to management and managing your assets, absolutely spot-on. And we think ultimately and here's a question, we think that what's going to drive the determination is what does the data need? So talk to us a little bit about how you are articulating the idea of data as the new value source, the new value and hardware infrastructure and software and these capabilities, making it possible for the work to exist where the data requires. >> Yeah and I'll start maybe you can pile on a little bit. Our conversation starts with apps and data so we're starting the dialogue there and you know what we're seeing is you know really moving from large data centers, or only large data centers to centers of data that are really everywhere, right? So we're starting to see that edge really starting to proliferate and drive a lot more change, and what our customers are saying is wherever might, regardless of where my data sits, I need to manage it, I need to secure it, I need to process it, I need to be able to translate it into insight and that's really what our strategy is all about. We've been talking for the last couple of years about making hybrid IT simple. and we're really doing a lot in that space. So for example, we announced the acquisition of cloud technology partners and really what we're trying to do there it's the foremost authority really in helping customers understand how to migrate applications to to AWS or even to Google or Azure, and when you combine that with our on-prem capabilities, it really now starts to talk about data, we want to say your data is what matters and we want to help you manage that holistically. The software investments that we're doing enable you to have that complete view. And then from a consumption perspective, some of the things I talked about earlier, rolling that out right, making it easier to consume this as a service and only pay for what I use. So, we are in alignment. It all starts with data and wherever that data sits, it's how do I manage it? >> And that's why Aruba is such a great asset for us, because a lot of people think about Aruba as you know, you just replace copper wire and WiFi ... And hey, don't get me wrong, it's a money-making great business, but if you'd asked Kierty, he'd probably say we're a data business, right? >> Peter: We did ask him, and that is what he said. >> Is that what he said? Well, good, we're on message then. We're on message today, alright, yeah. I mean, because that's where the action is happening, that's where the data is being created, and so everything that they're doing around the the security 360 platform, the mobile first platform, everything is centered around, how do I draw a value in context from that data? >> Well I want to ask you about Aruba, because when you acquired Aruba, we said wow, this is a great business, it's gonna be a growth business, but is it a strategic weapon for HPE? Is it a strategic infrastructure component? From a messaging standpoint, It's all about the intelligent edge, that you've up-leveled that. Where'd that come from? Maybe take us through sort of the anatomy of-- >> Well I mean, the message is just exactly what we were saying. That if if value is gonna be created at the edge, if the data's gonna be coming from the edge, we have to drive a whole lot more intelligence into that edge in order to collect, process, analyze, secure the data that's coming in and make use of it, right? So I mean, that's where the genesis of the intelligent edge came from. >> Yeah, I mean I would say the other thing about Aruba that we're really seeing is all about experiences. So when we talk to our customers about Aruba, they're looking to deliver a different experience. Whether it's in retail, whether it's in stadiums, whether it's in the campus space. It's all about delivering a better experience. And that's really the value prop behind Aruba. Very software centric, open software, mobile solution. The other thing is, it's enabling us to engage more and more with parts of the company, customers that we might not have had as much engagement before. You know, the c-suite, you know, talking more with the line of business. because what they're focused on is how do I deliver that better experience? And Aruba's really playing a key role in doing that. We also have the view that ultimately, and you started the conversation about data, and we totally agree. But it has to be thought of from the edge, to the core, to the cloud. So whether we engage with Aruba, whether we engage with our core data center, capabilities, and our strengths there, or with services ... That's enabling us to holistically have a much more strategic conversation with our customers. So we're excited about that. >> I'd like to dig a little bit on this notion of AI for the data center, or AI for managing IT (mumbles). We'd like to talk about the difference between a breadth-first, which is I'm gonna do this, like in this big broad way, and we'll figure out how we're gonna get the components to participate, versus a depth-first. Which is, let's lean on suppliers, who know that hardware, know the software best, and ask them to create simulacrums, you know, digital representations that then will allow me to apply AI machine learning, et cetera. We like the depth-first approach, but customers ultimately want to see this bloom into a breadth approach. Talk to us a little bit about how individual elements are being represented, but in a coherent consistent way, so that you can get to a broader, overall set of automation across entire infrastructure. >> Well, I mean, I think that you're seeing the paradigm shift now. I mean for decades we've been chasing this idea that we can make the one tool to rule them all, this sort of magic management environment, one single pane of glass, everyone says that right? >> I've written a lot of research papers that suggested that, right? >> Right? And look, I think that's, we're done, alright? And the only thing we can do now is, how do we embed intelligence to make the infrastructure so smart it can take care of itself? And that's ultimately the experience that our customers are telling us that they want, right? Is, I don't want to be an expert on IT anymore. I don't wanna touch this stuff, I don't want to deal with it. >> Peter: Not just want, need. >> Right? I can't handle it, right? I mean, the scale and speed of everything is beyond the capacity ... I can't hire enough people to take care of it. So you know, I think starting there and saying, okay we're gonna start embedding that type of intelligence. Right now it's mostly predictive analytics type of stuff, but increasingly you're gonna see more true AI come in not just in the data center, with what we're doing with Nimble, right? But also with Nyara. Now we call it introspect, right at the edge. How do we start weaving that across to do a variety of things? Whether it's maintenance or performance optimization, or security. I think thinking of it like a continuous platform across the infrastructure is gonna give you that depth and kind of breadth of control that you're looking for. >> So that leads to kind of an ecosystem question, and I liked your comments on that. Because the question of breadth or depth, the answer is yes, you got to have both. The ecosystem posture has totally changed in the last year or so, subsequent. Because we had PWC on today. We've had Veam on earlier. These are-- >> Jason: They love us. Partners that you're putting forth, yeah. >> Jason: We're making them money. >> For sure, right. But they are partners that previously, you know, you wouldn't have profiled. Whether on stage, on the Cube, wherever. >> Jason: Yeah. >> How has the ecosystem evolved? >> I mean it's opening up a whole new set of opportunities for us. You know, if you think of when we had ES, a lot of people just felt like, hey we were gonna compete with them, right? Now that ES has spun out, we actually created another great partner in ES, but we've got a whole host of other SIs that want to engage with us. They want to take our capabilities in IT systems. Our consumption capabilities, and then align it with a value prop that they'll bring. So you talked about Veam for example, right? Data availability is really, really important for customers. So taking HPE and Veam together, we're able to deliver a great solution from data protection to recovery. Really powerful stuff, and we're seeing some great opportunities out there in the marketplace, and a very strong ROI. I mean, we have some data that says, hey over five years, is a 200% ROI. Another area, when you think of just partnering, right? Is what we're doing with our channel partners. So we're giving them more solutions that are channel centric, that we're driving through our channel organization, yeah. And then, we just announced a relationship a couple weeks ago with Rackspace. It's a managed private cloud, open source solution. We're using our consumption capabilities, combined with with Rackspace, their environment. And this is giving our customers the flexibility to now spin up very quickly, a private cloud environment that they're looking for with a lot of the public cloud capabilities. Very strong economics behind it. And then the edge, that's the other area we're seeing lots of new partnering opportunities as the edge continues to expand. So we believe that innovation is a team sport, and we're leaning in really hard, and I know you know the Gartner's and the IDCs don't track who are the best partners, but I think if they did, we would be at the top of the list. >> Well, probably a lot of this activity was going on previously, so it's not like you're starting from ground zero. >> Jim: Correct. >> But you just, from a marketing standpoint, you really didn't talk about it, because you had colleagues, whether it was from EDS or the software division that's saying, hey, don't talk about that, help us out here. So, how has that changed the way in which you market? One of the big values is your go-to-market. I mean, people are drooling to now partner with HPE. >> Yeah, and one of the big reasons is honestly, is point next. Because they see the value in what Accenture or PwC, or Wipro can bring from understanding a business, or whatever, versus the deep technical knowledge of a point next to come in, and what they really love is the consumption model stuff that we've been able to wrap around it. They see that customers want, that in order to move fast with less risk, right? You've gotta have some sort of financial lever that says, okay, I can start small and I can grow over time. I'm not putting all my money out in one place and we've been building that with flex capacity over the last several years. You're gonna see, well, I guess we announced yesterday, a new Green Lake ... Making that even simpler to consume. Every one of our partner says, I wanna take your IT expertise in that consumption based model and wrap it around a total solution. And that's what's like white-hot right now, and there's unlimited opportunity right now from ... As Jim said, edge to core to cloud. >> And we have another one we're gonna announce on stage in a couple of hours, so we're pretty excited about that as well. >> Well, you see that in the numbers too, yeah. >> Jason: I think we might have a clue what that is. >> We're excited about that. >> Yeah, I know, it is. Well, look, and you kind of you kind of gave something of a preview when you talked about the three things that you want to be able to do. Because there's one brand that hasn't been mentioned yet. But ultimately the business is recognizing that the technology questions that we're raising here are crucial to their future success, but they don't want them to be a continuous source of antagonism. >> Group: Right. >> So they recognize that they need the capability, but they want to dramatically simplify the degree to which it's evasive. I once had a CIO tell me that the value of my infrastructure is adversely proportional to the degree to which anybody in my business knows anything about it. So how do you then take steps to ensure that your customers don't know anything about the infrastructure, even though they have the infrastructure where the data demands, which is gonna be at the edge, and on premise? >> I think that's some of the things we're focused on now. So software to make infrastructure much more frictionless. And you're not really worrying about managing that infrastructure, it's just there to power the business, to deliver the business. Consumption-based offerings with Green Lake, this is truly purpose-built stacks for specific things, because our customers are telling us, I don't want to have to set all that up and manage it, but I want that outcome, and I only want to pay for what I use. So those are just a couple of examples of how we're trying to simplify it. Because ultimately it's all about the experience and the outcome and being able to translate all that data into insight. >> Well, when you're simplifying your face to the world, we heard in the last earnings call, new reporting structure going forward. Hybrid IT ... intelligent edge, and financial services, which is exploding, the consumption base modeling 22% growth last quarter. So organizationally, presumably, you've started to take that shape, and that's how you're presenting your face to the world. Is that right? >> Yeah, and that's helping us to really break down some of the silos, that has existed in this company for a while. And you're seeing that really, really becoming much more unified in terms of how we go to market, and how we think about engaging with our partners how we engage with our customers. >> Are your customers breaking down those silos at a consistent rate? Are you a little bit ahead, a little bit behind? How would you evaluate that? I think it's a transition, it depends on which customer, which sector. We still see some of some of them that are maybe a little behind. Some that are a little bit ahead, but really everybody wants to start the conversation much more about, how do I move faster? How do I accelerate my business? It's all focused on outcomes starting at that data level, and then how can you help me? And this is where I think some of the acquisitions that we've made, like CTP are very empowerful, and then all the software capabilities that we're bringing as well. So we're leading the dialogue much more around that. >> And the only way they're gonna get there is to break down those silos. >> Jim: Absolutely, absolutely. And we have to help them do that, right? We have to help them do that and give them the solutions to do this. >> So Jim, I want to go back to a point that you made about those other two research firms, Gartner and IDC I think it was. But you said that if they were measuring the value, or if there was a magic quadrant for who is the best partner, you guys would be up in the upper right hand quadrant? But partners in this world, especially here in Europe, are more than just the big guys. >> Jim: Yes. >> How are you taking steps to ensure that that large mass of crucially important companies out there, that still where a lot of that innovation, a lot of that excitement really is, are coming with you, are able to move with you? Because your ability to certainly provide them with financial support is important, but your ability to show them the future, and have them see their business in the future, is going to be crucial to whether or not they stay with you. >> And I think we're doing a couple of things. We created our Pathfinder program, I'm sure you guys are aware of that, right? So these are some of the newer partners coming up, we're actually investing in them, helping to scale them, because we think it's going to be unique innovation. Another area is this program that we have called Cloud 28 Plus, where we have a whole network of providers, service providers, ISVs, SPs, that's part of a network that we're able to grow and kind of scale that ecosystem, so I don't know if you want to comment anything more on that, but-- >> Jason: Up to 700 now (mumbles). >> Yeah, so Saviea is very passionate about this obviously, but he's done some some really good things-- >> Peter: And he should be passionate about it. >> But that gives us an ecosystem now of partners who are part of that HPE ecosystem, but different use cases, different compliance needs, they sit in different regions, so we're able to give our customers a lot of that flexibility. >> Alright, gotta give us something on the key note. Just a tidbit. What can you share? A little nugget? >> I mean, you know-- >> Dave: Teaser. >> Some themes we've talked about. You'll hear the word friction free a lot, how do we make things invisible? And really demonstrating how with services and software, and consumption-based service models, can we do that for customers? You'll hear a lot of those themes. We'll highlight some of the things we've announced over the last 24 hours, a few weeks. So we'll emphasize what we've done around Nimble and info site, and the importance of AI in the data center. We'll obviously spotlight point next, and Anna and her energy, she's gonna be out there and really firing people up. And a few surprises in the software space that will come today, that it'll probably cause the market to do a bit of a double take and say who is that that's doing this again? Yeah, it's us, it's HPE doing that. >> And you'll see us also talk about a little bit of a vision in terms of how we see the market starting more at the edge, bringing in AI, composing for different kinds of environments, and then how HPE has really been able to invest, so we're gonna start to show that over the last couple years, we have had a very clear agenda where we want it to go, and now that's all coming to fruition, so we'll start to show all that holistically in terms of our technology vision. So that's another thing that we're gonna be highlighting. >> Great. Perfect timing, we can hear the announcement. Keynotes are coming up, we'll be broadcasting those on our twitch channel. Siliconangle.com/twitch You can go to HPE.com and see the keynotes as well. Gents, great energy, awesome to see you. >> It's great to see you guys, thank you. >> We'll be watching the college football ranks. You guys have a fun little rivalry of Ohio State here. >> The Ohio State. >> Dave: ... Yale, but nobody cares. >> Baker for Heisman. >> Dave: Gents, thanks very much for coming. >> Thanks guys, appreciate it. >> Keep right there everybody, we'll be back with our next guest right after this short break. (soft tech music)
SUMMARY :
brought to you by Hewlett Packard Enterprise. of the Enterprise Group at Hewlett Packard Enterprise. Good to see you again and Jason Newton, We're extending that to three par That's showing that we can be an innovation partner and it's really all about experiences. So help us clear that. and an area that we're very focused on. that you mentioned, automation in the data center, and we want to help you manage that holistically. as you know, you just replace copper wire and WiFi ... and so everything that they're doing It's all about the intelligent edge, into that edge in order to collect, process, analyze, You know, the c-suite, you know, and ask them to create simulacrums, you know, that we can make the one tool to rule them all, And the only thing we can do now is, and kind of breadth of control that you're looking for. So that leads to kind of an ecosystem question, Partners that you're putting forth, yeah. Whether on stage, on the Cube, wherever. the flexibility to now spin up very quickly, so it's not like you're starting from ground zero. So, how has that changed the way in which you market? that in order to move fast with less risk, right? And we have another one we're gonna announce on stage that the technology questions the degree to which it's evasive. and the outcome and being able to translate and that's how you're presenting your face to the world. and how we think about engaging with our partners and then how can you help me? And the only way they're gonna get there and give them the solutions to do this. So Jim, I want to go back to a point that you made is going to be crucial to whether or not they stay with you. and kind of scale that ecosystem, so I don't know a lot of that flexibility. What can you share? and info site, and the importance of AI in the data center. and now that's all coming to fruition, You can go to HPE.com and see the keynotes as well. You guys have a fun little rivalry of Ohio State here. Yale, but nobody cares. we'll be back with our next guest
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Jim | PERSON | 0.99+ |
Jason | PERSON | 0.99+ |
Peter Burris | PERSON | 0.99+ |
Jason Newton | PERSON | 0.99+ |
Peter | PERSON | 0.99+ |
Dave Vollante | PERSON | 0.99+ |
IKEA | ORGANIZATION | 0.99+ |
Nokia | ORGANIZATION | 0.99+ |
Jim Jackson | PERSON | 0.99+ |
Europe | LOCATION | 0.99+ |
Anna | PERSON | 0.99+ |
Hewlett Packard Enterprise | ORGANIZATION | 0.99+ |
Gartner | ORGANIZATION | 0.99+ |
Accenture | ORGANIZATION | 0.99+ |
Rackspace | ORGANIZATION | 0.99+ |
PwC | ORGANIZATION | 0.99+ |
ABV | ORGANIZATION | 0.99+ |
200% | QUANTITY | 0.99+ |
IDC | ORGANIZATION | 0.99+ |
Wipro | ORGANIZATION | 0.99+ |
Dave | PERSON | 0.99+ |
last year | DATE | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
22% | QUANTITY | 0.99+ |
Kierty | PERSON | 0.99+ |
HP | ORGANIZATION | 0.99+ |
Veam | ORGANIZATION | 0.99+ |
Saviea | PERSON | 0.99+ |
Baker | PERSON | 0.99+ |
Dreamworks | ORGANIZATION | 0.99+ |
Madrid | LOCATION | 0.99+ |
first platform | QUANTITY | 0.99+ |
ORGANIZATION | 0.99+ | |
three things | QUANTITY | 0.99+ |
yesterday | DATE | 0.99+ |
Ohio State | ORGANIZATION | 0.99+ |
HPE | ORGANIZATION | 0.99+ |
Green Lake | ORGANIZATION | 0.99+ |
four | QUANTITY | 0.99+ |
over 400 people | QUANTITY | 0.99+ |
both | QUANTITY | 0.99+ |
Aruba | LOCATION | 0.99+ |
EDS | ORGANIZATION | 0.99+ |
two | DATE | 0.98+ |
one | QUANTITY | 0.98+ |
Siliconangle.com/twitch | OTHER | 0.98+ |
today | DATE | 0.98+ |
Up to 700 | QUANTITY | 0.98+ |
Synergy | ORGANIZATION | 0.98+ |
over five years | QUANTITY | 0.98+ |
PWC | ORGANIZATION | 0.97+ |
Madrid, Spain | LOCATION | 0.97+ |
last quarter | DATE | 0.96+ |
Nimble | ORGANIZATION | 0.96+ |
two research firms | QUANTITY | 0.96+ |
one place | QUANTITY | 0.96+ |
Enterprise Group | ORGANIZATION | 0.95+ |
One | QUANTITY | 0.95+ |
one environment | QUANTITY | 0.95+ |
this week | DATE | 0.94+ |
HPE Discover 2017 | EVENT | 0.94+ |
Jason Newton & Jim Jackson | HPE Discover 2017
>> Narrator: Live from Las Vegas it's theCUBE covering HPE Discover 2017 brought to you by Hewlett-Packard Enterprise. >> Hello and welcome back to Las Vegas for theCUBE's exclusive coverage of Hewlett-Packard Enterprise Discover 2017 or HPE Discover 2017. This is theCUBE, our flagship program from SiliconeANGLE media. We go out to the events, and extract the signal from the noise. I'm John Furrier, the co-founder of SiliconeANGLE. with my co-founder, Dave Vellante, my co-host. Our next guest, Jason Newton, Vice President of HP Marketing Pan-HPE Market cross HP, and Jim Jackson, Senior Vice President of Enterprise Group Marketing. The big dogs here at HP laying out the show here for 2017. Guys, great show again, our seventh year, appreciate it. But this year, more than ever, is a seminal moment, obviously everyone knows what's going on in the news, is a huge shift in the market place, what's happening at the show, set the scene for us, what's the backdrop? You guys lined up all the messaging, you have the whole set up to the show, tell us: what is this show about this year? >> First, welcome to Discover, guys! We're really excited to have you guys here. And you know, we got a lot going on at this show, so for example, yesterday, we had our Global Partners Summit so we brought out top 1300 partners, and we had an amazing session with them. This week starts Discover, so it's going to run for the next three days. We've exceeded our tenants targets, so we're feeling really good about it. I think what that shows is there's a lot of interest, a lot of energy, a lot of passion, for what Hewlett-Packard Enterprise can bring. You know, I'm not going to go through all the mechanics of the separation and the spin merger, but I would say that that was all designed to make us a faster, more nimbler company, and one that is really aligned to where we want to take our partners on their digital transformation journey. You know, what we're seeing today, is digital transformation is impacting every single customer and every single industry, and digital business is technology, and really, that's where we play and that's why we're so excited to get our story out. And when you look at over the last year, there's a lot that's happened at this company around really innovation, acquisitions, and ecosystem. Just look at some of the innovation that we've brought to the market, Synergy. Amazing innovation, it created a new category, it really enables our customers to now get a public cloud experience, but on PRIM. And we're hearing from a lot of customers, I want to leave my applications on PRIM, but I need that capability. So we're delivering that with that kind of innovation. Another one is HPC. High growing market, we're leading in that space. What we're doing in the storage flash space, we rebooted, and rebranded our services organization, it's not called Pointnext. We want to help our customers point next to whats' next for their business. When you look at the Edge, just amazing innovation happening there, whether it's Aruba technology, whether it's what we're doing with all of our Edge compute solutions, so just a tons of things happening and then when you layer on top of that all the acquisitions. SGI, we're already the leader in HPC, we have 140 of the top 500 systems, SGI makes our position that much stronger. That's a hot market, it's growing at six to eight percent. SimpliVity, when we brought our capabilities, our UI from our technology, combined it with the data services from SimpliVity, we now have the leading HC solution in the industry. When you look at Niara, that gives up additional capabilities at the Edge to help secure that. When we look at Cloud Cruiser, we can help customers understand and balance what's happening across their workloads. And then Nimble gives us just an amazing portfolio across storage. We're really the leader now in the storage space when you look at the ability to dress almost any use case, from MSA to SimpliVity, for customers looking for more of that hyperconverge play, to Nimble, to 3PAR. Our strategy, super simple. Make hybrid IT simple, power the Intelligent Edge, and it's not just the compute, it's to bring the analytics so that we can translate insight into action, and really to bring the services to help our customers on their journey. And those services are our Pointnext services complimented by our partner services. So, you know what, we're fired up, we're excited, there's a lot happening. >> You guys got so much going on and we've documented the whole spin merge thing 'till the cows come home, we've already done that. You guys got a lot going on, a lot of customers are talking a lot of people are talking about you in the industry, at an industry level, certainly at a partnership level, you guys have always been customer focused. We heard that, you mentioned that, they kind of want to know: what is HP going to do now? You're going to put the stake in the ground, they want to know what's happening, where is the phoenix coming from out from all this decoupling, and more agile messaging, it's a lot of corporate governance, corporate development, I get that, what's next? When are you guys going to put the stake in the ground, you going to be aggressive, when are we expecting to hear from Meg Whitman? >> This week, right, you're going to see it this week. I think that's why we're so excited, this is our opportunity to bring our story together and talk about the innovation and the outcomes that we're delivering for our customers. We are playing offense, and you're going to see that this week. You know, I think one of the themes about this whole week is really about outcomes. I just hosted a panel, with four amazing customers, we had Dreamworks on there, we had CenterPoint Energy, we had CallidusCloud, and I had one more, can't think of it, Merck. And just amazing stories in terms of their digital transformation journey and how HPE is helping to enable that. You're going to hear that on main stage, we're going to have additional customers, Symmetry, others, talking about their digital transformation journey. So, we're really fired up about the main stage, and the story that we're going to get out today. Backstage talking with the executives, they're ready to rock and roll. You know, we know we have a great story and we need to package it, we need to send it out there to the marketplace, and that's what's going to happen later today. In addition to the outcomes, and I think that's what's different about us maybe from some of our other competitors who come to these similar events and just have a bunch of products, we're really talking about how our technology is enabling outcomes but you're going to see a lot of innovation today as well really themed along our strategy. We're going to highlight and roll out the next generation of our compute experience. We're going to talk about how we're delivering the industry's most secure industry standard servers. That's complimented by a whole set of announcements we did last week on our storage portfolio, and the software defined space updates to our synergy solution to HP OneView, and then we're going to be previewing our multi cloud hybrid stack, which will be available later in the year. When you look at the edge, new campus solution, core solution, so what we're really doing is if you think of a data center course which we're bringing that to the campus, so we can essentially now manage from the ceiling, to the side, to the floor. So we're bringing all the capabilities. Asset tracking capabilities coming in as well. Pointnext, we're bringing in new innovations to the marketplace around Consume. Jason, maybe you can talk a little bit about some of the IOT Edge stuff that's coming out as well. >> Yeah, I mean we think, a core part of our strategy is to power the Intelligent Edge. We think that's where all the innovation is going and increasingly, you know, we think about data and getting insights from data, right? Going forward, we're going to start thinking about how do I take data and put it into action, right? The Edge is a place, and there's lot of different places that we can bring technology to bear to put into action and create value and so, tons of examples of what we'll be talking about with customers and really interwoven within that are the need for analytics, you know, big data, high performance computing, having a renaissance because of that, and the need for hybrid computing right because the stuff needs to be secure and it needs to be driven by applications, and so it really is a great way to try to exemplify why our strategy is the right strategy and why it's a winning one, because those are the unique elements that are going to power this world going forward, and we've got 'em. >> 43% of data will be analyzed at the Edge by 2020, so think about that, right. >> Yeah and we actually think that it'll be much higher over time, that moving around all this data is going to be challenging, I know you're working on the speed of light problem in the labs, and that number I think will increase. So, I wanted to ask you about messaging because messaging in very important. It clarifies your vision and it underscores your relevance to customers and previously a lot of the HP and now it's HPE, messaging was very product centric, and one tended to get lost in that. How have you sort of transformed your messaging architecture to address things like outcomes and business impacts. >> Yeah, you know customers today, it's really about outcomes, right, so technology matters but if you just look at making hybrid IT simple, as an example, that's a easy statement to say, hybrid IT is not simple. So when you, think of the messaging though, of how we're talking to our customers about that it's really at multiple different levels and let me give you a couple of examples. It's, first of all, the services from Pointnext, how do we come and engage them, and help them characterize their applications, understand their environment, and ultimately give them a roadmap with the right mix of technology, not only for today, but for the future. So, that's an example of leading much more with services in terms of our Pointnext services, in terms of how we're engaging our customers. Getting very disciplined in terms of when you think about okay how do I want to run my hybrid IT environment? We believe it runs best on a software defined infrastructure solution, Synergy gives us that. So, customers are telling us, hey I want to have more on PRIM, or I want to be able to run my applications on PRIM but I need the same experience that I can get from a public cloud, we can now do that with Synergy. Fully programmable, we're seeing amazing interaction with it we have almost 400 customers engaging, and that pipeline is continuing to grow. And then I think the third part of it, when you talk about solutions, again it's not just about technology, it's how do I want to consume this, right? So, we're hearing from our customers, you know, I need, not all of them want to just buy it from us and install it. So, we do amazing things here that we probably haven't gotten out to the market, and you're going to see us get a lot louder this week about that. For example, through our flexible financial services organization, we have amazing capabilities to really engage with other parts of the line of business, the CFO, and talk to them about how do you really want to finance this, what kind of business relationship are you looking for? With Flexible Capacity services, we bring amazing capabilities to help our customers get a public cloud experience on PRIM, so it's sitting on their environment, we're managing it, they only pay for what they use. The other part of it is, it is customers are telling us increasingly, hey you know what I want to actually have a network of service providers that I can get services from. We have done that through our Cloud28+ and our service provider partner ready program, we have a whole set of service providers optimized for infrastructure, for applications, many of them are located close to our customers, so just a few examples, I think of how we're trying to bring this all together, and a solution message is really elevating it and saying: what is the outcome you're trying to drive, starting there, and then looking at engaging them holistically across all of that. So you're seeing more and more of that. Our demos highlight that, that's the stuff we're trying to highlight at the show. >> Dave, can I pile on to the message piece, too, as well? His messaging guy here, for Jim. You know, there's a lot of noise also out on the marketplace, and I think one of the keys is the advantage of being a more focused company now, we can be much more simple, and forthright and direct in our messaging, right, in terms of who we are, what we're about, what's our strategy, what are the elements that we're putting in place to execute that strategy and it's I think it's really important because you don't get but 60 seconds, right, in front of a customer, or to grab their attention off a Twitter feed, or whatever and so, simplicity is really really important, and I think the advantage of an event like this is it brings our strategy and that message to life, I mean it's three dimensional out there right. It's living and breathing, we bring the customers forward first, that's the lead of every message because that's what other customers want to hear about, what are you going to do for me, right? >> Well, lets talk about the messaging and how it translate, from as I always say, if you got the sizzle you better have the steak, to use that old expression. Just as a random example, the user experience is changing significantly in IT, I mean yesterday I was delayed coming in Southwest coming from Silicone Valley and, you know they sold my seat, they didn't have to drag me off the plane, but you know I'm getting some help in the analog face to face but I got on Twitter, had to DM Southwest, instant channel to Southwest. That proves that the interface to technology in a digital business is changing. Now IT is transforming in a similar way, how are you guys taking the messaging of simplicity at the same time as the product evolution is shifting and architectures are changing. The people who have to consume and manage this stuff, their work is changing, so how do you guys talk about that because that's really where the meat on the bone is sitting that's where the rubber is hitting the road, your thoughts? >> I'll start, and maybe Jason you can pile on, you know I think Jason poked at it, we are a much simpler company today, so our strategy is very clean. It's to make hybrid IT simple, it's to power the Intelligent Edge, and it's to bring the services to help our customer go along that journey. So just starting with that simple message means that we can get out whole organization, our partner organization, on message in terms of what we bring and how we can help them to do that. I think the other part this that's really important is we view innovation today as really a team sport, and as we become more focused, we're actually leaning in a lot harder to our partner ecosystem. Whether it's our traditional partners, like Microsoft and SAP, whether it's new partners like Docker, Mesosphere, you know bringing the containerized environments, or actually curating a new set of partners for the future with Partner Next. Because it is about getting it down the simple thing of what's the outcome you're trying to drive, what's the technology, and the ecosystem and how can we be the company to help bring that forward? And I think that's a lot of the simplicity that you're going to see. You know on stage later today, I think why we're so excited about this is, you know you're going to hear Meg talk a little bit about the journey we've been on but more importantly the outcomes that we're delivering for customers and then what we're going to do is we're going to feature three customer scenarios, talking about what they have done, what their journey has been, their outcomes, their experiences and what they can do today, and then of course, how HP technology is enabling that. >> We had in our opening, Dave and I always talk about this, because we love the shiny new toy. Certainly I'm from Silicone Valley, he's from the east coast but the reality is that all this stuff about declining markets here and there is always a shift to another growth market, even on PRIM, you know, people might buy and consume and interface differently with technology but it doesn't mean that the data is slowing down, it doesn't mean that the value creation is changing, it's shifting. So I think that has really been something that I think you guys have had online, maybe lost in some of the tactical things but, you know, from new style of IT, to this, it's been kind of a cadence that you've been on it's not like you guys are groping for messaging. >> What goes down, yeah, and you can't just snap your fingers and be the transformed company that you want, right, but we're moving at break-neck speed on that and it does all go back to the advantage of that strategy, and the world you just described, right, you want to be nimble. You know, there may be something next month we've never heard of that disrupts the entire container market, right, containers become oh that's so yesterday, we want to be the company that's ready to pounce on the next thing, right, and we're geared to do that. You know, competitors - >> John: (mumbles) containers in microseconds is kind of a big deal, and it's coming out of the labs. >> Well you know, the other thing, I want to just add, so you talk about customers, you start with the customer the technology business is always moved faster pretty much than any business, but now, every customer is technology company, and so they're accelerating the pace, so you've got to accelerate that pace with them and be that provider. Digital transformation is all about data, it's all about becoming a technology company. So what's the message to your customers in terms of your role in helping them accelerate their transformation? >> Well, I think you pretty much hit it, right, in the statement that I use is digital business is technology. You are not going to seed with your digital transformation unless you have the right technology foundation and that's what we heard from those customers on the panel. It's about speed, it's about flexibility, it's about having the right technology that enables me to deliver services back to my internal clients at the speed I need to do it. And you know, that's where our innovation is really focused today, and that's why we're seeing a lot of customers coming to us and saying I want to understand how you did it for CenterPoint, or for Dreamworks and how we can take advantage of that. The other part of it is, technology is a big part of it but it's also the learning and the expertise that we can bring to actually make that technology work in that customer environment - we know how to do that. We're proven in doing that, and I think that's something because we're close to the technology, we not only have the right innovation, we have the right expertise to make it work for our customers, and that's important. >> I don't even think it's early innings either, Dave, I think it's not the game hasn't even started and I think you know one of the things that we believe and we're doing some research on is, we think asset evaluations is going to be completely data driven. Data will be an asset and that will impact the evaluation mechanism to >> Dave: Data is the new currency! >> John: To companies' value, so I think the shift is so early. So, riding the wave, guys thanks so much for coming on theCUBE we really appreciate it. Looking forward to the keynote from Meg Whitman to hear the messaging. Congratulations as you guys continue to - >> Dave: We're fired up! >> Jason: He's fired up. >> Dave: There's a lot of energy, Meg's fired up >> Jason: She's going to bring it today - >> Dave: Antonio is fired up, there's a lot of energy at the company, and you know, we're just excited to get our story out and engage customers. Thanks guys for the opportunity. >> Live here from HPE Discover, this is theCUBE's exclusive coverage, we'll be back with more live action. Three days of wall to wall coverage after this short break. (electronic music)
SUMMARY :
brought to you by Hewlett-Packard Enterprise. We go out to the events, and extract and it's not just the compute, it's to bring the analytics a lot of people are talking about you in the industry, the ceiling, to the side, to the floor. the stuff needs to be secure and it needs to be driven 43% of data will be analyzed at the Edge by 2020, and one tended to get lost in that. the CFO, and talk to them about how do you really and it's I think it's really important because you don't That proves that the interface to technology in a digital the Intelligent Edge, and it's to bring the services to help but the reality is that all this stuff about and it does all go back to the advantage of that is kind of a big deal, and it's coming out of the labs. got to accelerate that pace with them at the speed I need to do it. and I think you know one of the things that we believe to hear the messaging. at the company, and you know, we're just excited Three days of wall to wall coverage after this short break.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Susan Wojcicki | PERSON | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
Lisa Martin | PERSON | 0.99+ |
Jim | PERSON | 0.99+ |
Jason | PERSON | 0.99+ |
Tara Hernandez | PERSON | 0.99+ |
David Floyer | PERSON | 0.99+ |
Dave | PERSON | 0.99+ |
Lena Smart | PERSON | 0.99+ |
John Troyer | PERSON | 0.99+ |
Mark Porter | PERSON | 0.99+ |
Mellanox | ORGANIZATION | 0.99+ |
Kevin Deierling | PERSON | 0.99+ |
Marty Lans | PERSON | 0.99+ |
Tara | PERSON | 0.99+ |
John | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Jim Jackson | PERSON | 0.99+ |
Jason Newton | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Daniel Hernandez | PERSON | 0.99+ |
Dave Winokur | PERSON | 0.99+ |
Daniel | PERSON | 0.99+ |
Lena | PERSON | 0.99+ |
Meg Whitman | PERSON | 0.99+ |
Telco | ORGANIZATION | 0.99+ |
Julie Sweet | PERSON | 0.99+ |
Marty | PERSON | 0.99+ |
Yaron Haviv | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Western Digital | ORGANIZATION | 0.99+ |
Kayla Nelson | PERSON | 0.99+ |
Mike Piech | PERSON | 0.99+ |
Jeff | PERSON | 0.99+ |
Dave Volante | PERSON | 0.99+ |
John Walls | PERSON | 0.99+ |
Keith Townsend | PERSON | 0.99+ |
five | QUANTITY | 0.99+ |
Ireland | LOCATION | 0.99+ |
Antonio | PERSON | 0.99+ |
Daniel Laury | PERSON | 0.99+ |
Jeff Frick | PERSON | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
six | QUANTITY | 0.99+ |
Todd Kerry | PERSON | 0.99+ |
John Furrier | PERSON | 0.99+ |
$20 | QUANTITY | 0.99+ |
Mike | PERSON | 0.99+ |
January 30th | DATE | 0.99+ |
Meg | PERSON | 0.99+ |
Mark Little | PERSON | 0.99+ |
Luke Cerney | PERSON | 0.99+ |
Peter | PERSON | 0.99+ |
Jeff Basil | PERSON | 0.99+ |
Stu Miniman | PERSON | 0.99+ |
Dan | PERSON | 0.99+ |
10 | QUANTITY | 0.99+ |
Allan | PERSON | 0.99+ |
40 gig | QUANTITY | 0.99+ |
Reggie Jackson | SAP SapphireNow 2016
(mumbling) >> Voiceover: Covering Sapphire now. Headline sponsored by SAP HANA Cloud, the leader in platform as a service. With support from Console Inc., the cloud internet company. Now, here are your hosts, John Furrier and Peter Burris. >> We are here live at SAP Sapphire. This is SiliconANGLE Media's The Cube. It's our flagship program. We go out to the events and extract the signal to noise and want to do a shoutout to our sponsors SAP HANA Cloud and Console Inc. at console cloud, connecting the clouds together. I'm John Furrier with my co-host Peter Burris. Our next guest is Reggie Jackson, winner, athlete, tech athlete now, entrepreneur, overall great guy, and a cube alumni. Four years ago, we interviewed him here at SAP Sapphire. Welcome back, Reggie, to The Cube. Thanks for coming on. John, thank you very much. It's good to be here with old friends. We were havin' a little conversation about baseball there, but good to see you guys. Yeah, and obviously, the baseball, we were just talkin' about the whole fisticuffs and the glee of the grand slam walk-off. >> Reggie: Good stuff, good stuff. >> It's a good pivot point in some of the things that you're workin' on in here, the conversations in the tech world, which is social media and that notion of celebrating in a world of Instagram and Snapchat and social media. Certainly, ya flip the bat, the views go up. But then, baseball has these (laughing) unwritten rules, right. So does corporations. And so we're now a new era. Is baseball safe now with these unwritten rules and should they maintain those, certain things that have kept the game in balance? But yet with social media, the players are their own brand. And you certainly were a brand, even back in your day, which is a pioneer. What's your thoughts on that? >> You know John, Peter, I don't like the idea of someone going out of their way to promote their brand. Some of the great brands to me in history, Babe Ruth, Ty Cobb, the great Jim Brown, Joe Montana, Michael Jordan. And Michael Jordan would be a prominent example where technology and TV enhanced who he was. And he had someone behind him to enhance his brand, Nike, Phil Knight, who was a real pioneer. I'm not so in favor, I'm not in favor at all of someone manufacturing themselves as a brand. And I hear players talk about their brand and about trying to create something. If you're great, if you deserve it, I don't think Stephen Curry works on his brand. I think he works on bein' a great player. I think he works on bein' a great teammate. I think he does his best to maximize his skill set. And he's nothing but a gentleman along the way. He'll celebrate with joy once in awhile, with the Curry moves, which we've come to recognize. But for guys that talk about the manufacturing of their brand, there's something about it that's manufactured. It's not real, it's false. And I don't like it. I think it's okay, the Snapchats and the Google+ and all of the stuff, Twitter and Facebook and all that stuff, all of the things that go along with trying to create some hubbub, etc. I'm okay with that. >> So you're saying if it's not deserved. People are overplaying their hand before earning it. >> A lot of it, John, a lot of it. Joe Montana didn't work on his brand, he was great. Jim Brown didn't work on his brand, he was great. I don't want to use Jimmy Brown. I want to use Montana because even young people today will know Joe Montana. Tom Brady, Peyton Manning, they're not about their brand. They're about being classy, being great, being part of a team, being a leader, presenting themselves as something that's respected in the NFL, across the United States. Go ahead, Pete. >> So even though it's cheaper to get your name out there, you still believe in let your performance speak for itself. >> You got to be real about it. Ya got to be who you are. If you're not a great player, get out of the way. Get out of the space. So manufacturing your brand. I played with the Yankees. I was in the era of Cosell and Billy Martin and George Steinbrenner. We won championships with the team. I was part of something that helped me become recognized. And so in our era, the Sandy Koufax's became brands because they were associated with greatness around them. They stood out and so they earned that tremendous brand. >> We were just watching Graig Nettles gettin' taken out by George Brett in that big game and also the pine tar, we kind of gettin' some good laughs at it. You look at the balance of personalities. Certainly, Brett and Nettles and your team and you had a great personality, winning championships. Worked together as a team. And so I want to ask you that question about the balance, about the in baseball, certainly, the unwritten rules are a legacy and that has worked. And now in a era of personalities, in some cases, people self-promoting themselves, people are questioning that. Your thoughts on that because that applies to business too 'cause tech athletes or business athletes have a team, there are some unwritten rules. Thoughts on this baseball debate about unwritten rules. >> Pete and John, I'll try to correlate it between some tech giants that have a brand. I just left a guy with a brand, Bill McDermott, that runs SAP. Even Hasso, the boss. The face now of SAP is Bill McDermott. Dapper, slender, stylish, bright. It comes across well. So maintaining that brand, to me, relates to SAP, bills a great image for it. He's stylish, he's smooth, he's smart. He's about people. He presents himself with care. So that is a brand. I don't think it's manufactured. That's who he is in real life. If you take a look, and I'll go back to Steph Curry because that name resonates and everyone recognize it. That style of cool, that style of control, that style of team and care. And he presents to us all that he cares about us, the fan, his team, his family. And so those are things and I think you can go from the tech world. Bill Gates had a brand. Brilliant, somewhat reclusive, concerned about the world, concerned about the country, concerned about his company. And so that resonated it Microsoft because that's who he really was. Some of the people today don't really recognize that Jobs was thrown out of Apple. He was pushed out. All of his brilliance, which was marketing. And the gentleman there that really was the mind for the company, Steve Wozniak, happens to be here at SAP Sapphire. Today, I think he speaks. But those brands were real, not manufactured. And so, in today's world, I think you can manufacture a brand. And then all of a sudden, it'll crumble. It'll go away in the future. But the great brands of whether it's Jackie Robinson or whether it's Jack Welch or whether it's George Steinbrenner and the Yankee brand, those brands were real. They were not manufactured. Those guys were eccentric. They were brilliant. Go ahead. >> And also, they work hard. And I want to point out a comment you made yesterday here at the event. You were asked a question up on stage about that moment when you hit the home runs. I think we talked about it last time. I don't necessarily want to talk about the home runs. But you made a comment I'd like you to expand on and share with the audience. 'Cause you said, "I worked hard," but that day during warm-ups, you had batting practice. You made a comment that you were in the zone. So working hard and being great as it leads up to that. But also, in the moment, 'cause that's a theme these days, in the moment, being ready and prepared. Share your thoughts on what you meant by you had a great batting practice and you just felt it. >> I'm going to take it to what you say is in the moment. I remember when I was talkin' about it yesterday, which you reference to, when I had such a fantastic batting practice. I walked by a coupla sports writers in that era. Really well-known guys, Dave Anderson, New York Times. I can't think of his name right now, but it'll come to me, of the Daily News. It was like hey man. >> John: You were rockin' it out there. >> I kind of hope I didn't leave it out here. (laughing) That was in the moment and at the same time, >> I mean, you were crushing it. >> Yes, when the game started, I got back in that moment. I got back in what was live, what was now, what was going on. Certainly, I think our world now with the instant gratification of sending out a message or tweeting to someone or whatever certainly in the moment is about what our youth is and who we are today as a country, as a universe. >> But you didn't make that up. You worked hard, but you pulled it together in the moment. >> A comment with that is I went and did something with ESPN earlier this year in San Francisco, in Oakland with Stephen Curry. They said, "Reggie, we want ya to come up "and watch his practice, his pre-game." And it was very similar to your batting practice, where people come out and watch, etc. And so I was looking forward to it and I like to go to the games about an hour and a half or two hours early so I can see warm-up and see some of the guys and say hello. And I got a chance to watch Steph Curry. I know his dad. And happened to be the first time I went this year, the dad, Carolina, the Panthers were in town. Not the Panthers. Come on, help me, help me, help me. >> Peter: The Wizards? >> No, no, no, the Carolina. >> Peter: Carolina Panthers. >> The Carolina Hornets. >> John: Hornets. >> Were there and I know his dad, Dell Curry. And we talked a little bit. But then, Steph came out and I watched him. And I watched the dribbling exhibition. I watched the going between the legs and behind the back and the fancy passing, etc. And I watched the shots, the high-arcing threes, the normal trajectory threes, the high shots off the backboard and things like that that he did. The left-handed shots, the right-handed shots. And the guy asked me what I thought of the show. And I said, "Well, it's a cool show, "but I'm going to see all that tonight." And me watching him, the behind the backs, the between the legs, the passes, the high-arching shots from three, the high-arching touches off the glass. He does all that. >> John: He brought it into the game. >> Yeah, I said so, (laughing) >> Peter: That is his game. >> It's not a show, but that's his game. >> So Reggie, you did an interesting promotion, Reggie's Garage, where you bought a virtual reality camera and you created a really nice show of your garage demonstrating your love >> Reggie: 360. >> Peter: of cars, 360. Talk a little bit about that. And then if ya get a second, imagine what baseball's going to be like as that technology becomes available and how some of the conversation that we're having about authenticity, the fan coming into the game. >> An experience. >> Is going to change baseball. Start with the garage and how that went and then how ya think that's going to translate into baseball, if you've had any thoughts on that. >> In the technology that was used, certainly I enjoyed it. While I was doing it, I noticed where the cameras were in different spots. There was one on the floor of my car. There was one in the backseat. And then there was someone following us as closely as they could. But you could see everything. You'd see the shift and you could see my feet. It was like you were with me. When we did the 360 inside the garage as well, you could listen to me and then you could use your finger and spin around. And they had these special headset and special glasses that you could look around, just with your headset on, and see all around the room. Behind you, in front of you. And so it's an experience that I think is going to become part of who we are as a nation, who we are as a people watching television, that you're going to really feel like you're in the room. I think it's going to be exciting. And I think it's going to be fun. And when you're talking about products, when you're talking about my website, if you will, with the focus on automotive parts, where a guy can go in and shop and get any part he wants for a vehicle, you really can build a complete car from my website. You can buy a frame. You can buy body parts. You can buy a horn, an engine, brakes, tires, grills, turn signals, the whole nine yards. And it gives you an experience through 360 video of really walking into the store, walking into the building, walking into the stadium and looking around to see the hot dog stand, see the dugout, see the pitcher and the hitter, to see the parts in the garage, to see the cars and take a look and view at everything that's there. >> How are players going to react to havin' the fans virtually right there with them? >> I don't think it bothers you. I don't think ya notice. I don't think they'll show anything that will affect the player that he's going to be concerned about. I think you'd have to be sensitive if they start microphoning, start micing up and then the looseness of the language would impact. So I don't think they'll go that far. But I do think the more that you can see, the more attractive the game becomes, the more interested that you can get people. When I broadcast baseball for ABC back in the 80's, I always tried to broadcast for the lady of the house, while she worked, while she cooked the meal, she didn't have time to think about a backup slider or the fastball that painted the outside corner, the changeup, etc., the sinker. I tried to broadcast for her interpretation so I could attract another fan to the game. So I think that the technology and the viewing that you'll see from behind home plate, from under the player's feet while he's running down the bases and the slides and things of that nature, Pete, I think are going to be exciting for the fan and it'll attract more fans, attract a new type of television it's going to produce, etc. So it's exciting. >> Reggie, thanks for comin' on The Cube again. Appreciate your time. I ask ya final two questions that I want to get your thoughts on. One is obviously the cars. Reggie's Garage is goin' great. And you shared with us last time on The Cube, it's on YouTube, about you when you grew up and decide football and baseball. But when you were growin' up, what was your favorite car? What was that car that you wanted that was out of reach? That car that was your hot rod? And then the second question is, we'll get to the second question. Answer that one first. What was you dream car at the time? How did ya get >> Reggie: The dream car >> John: hooked on this? >> at the time. I had a '55 Chevrolet that I bought from a buddy by the name of Ronny Fog. I don't even know if he's still around anymore. Out of Pennsylvania. I had $300 and my dad gave me $200. I'd saved up mine from workin' for my dad. But my dream car was I went to school with a guy named Wayne Gethman and another guy named Irwin Croyes. I don't know Wayne Gethman anymore. But from the age of 16, I reengaged with Irwin Croyes, who happens to be a business investing type guy in the city of Philadelphia, right where we're still from. He's a car collector. And he drove a '62 Corvette and so did Wayne Gethman. And I always wanted one. And I now happen to have four. (laughing) >> He who get the most toys wins. Final question, 'cause you're such a legend and you're awesome and you're doin' so much work. And you're very active, engaged, appreciate that. Advice to young athletes coming up, whether they're also in business or a tech athlete or a business athlete. But the sports athletes today got travel ball, you got all this stuff goin' on. The idols like Stephen Curry are lookin' great. Great role models now emerging. What advice do you give them? >> John's got a freshman in high school. I got a junior in high school. What would ya say to 'em? >> You know, I'll tell ya. When you're young, the people you want to listen to are Mom and Dad. No one, and I'll say this to any child from the age of eight or nine years old, five, six years old to 17, 18, 19, 20, all the way up, now my daughter's 25. All the way up to the end of your parents' days. No one cares for you more than your mother or your father. Any parent, whether it's a job or whether their success in life, number one in that man or woman, mom or dad, number one in their life is their children. And so for kids, I say if there's any person you're going to listen to for advice in any path you want to walk down, it's the one that your parents talk to you about or how they show you. That is what I would leave as being most important. For kids, anything, idea that you have that you believe you can do, whether it's the athlete like Stephen Curry that has created shots and done things on the basketball court that he envisioned, that he thought about. Or whether it's the next Steve Jobs who happens to be Mark Zuckerman, who I don't know Mark is 30 years old yet. >> John: He just turned 30. >> It's an idea. He's born around the same time. He's born this week. His birthday is in this week. My birthday's tomorrow. >> John: Happy birthday. >> But thank you. Anything that you can think of in today's world of technology. With places like Silicon Valley where they take dreams and create foundations for them. I had a dream about a website that would sell automotive parts and you could go to my site and buy anything for your car. We've got about 75,000 items now. We'll get to 180,000 in a few months. We'll get to a half a million as soon as my technology is ready for it. But we have things to pay attention to and look into and issues to make sure that we iron out that aren't there for our consumer, for ease of navigation, ease of consumption and purchasing. Any idea that you have, take time to dream. It's much more so than taking time to dream when I was a young kid. Because my father would say, "Stop daydreamin' "and wastin' time." >> John: Get to work. >> Reggie: In today's world, for our children, I say take time to create a vision or to create something new. And go to someone that's in the tech world and they'll figure out a way of helping you manifest it into something that's a reality. >> Listen to your parents, kids. And folks out there, dream, build the foundation, go for it. Reggie Jackson, congratulations for being a Cube alumni again, multi-return. >> Peter: Thank you very much. >> John: Appreciate it. Congratulate on all your continued success. You're a legend. Great to have you on. And thanks so much for comin' on The Cube. >> Peter: And happy 70th birthday. >> John, Pete, always a pleasure. >> John: Happy birthday. >> Thank you very much. >> Have some cake for Reggie. It's The Cube, live here in Orlando. Bringin' all the action here on The Cube. I'm John Furrier with Peter Burris with Reggie Jackson. We'll be right back. (electronic music)
SUMMARY :
the leader in platform as a service. and extract the signal to noise in some of the things that Some of the great brands to me in history, So you're saying if it's not deserved. that's respected in the NFL, to get your name out there, Ya got to be who you are. And so I want to ask you that question And the gentleman there that really was But also, in the moment, 'cause that's I can't think of his name right now, and at the same time, I got back in that moment. But you didn't make that up. And I got a chance to watch Steph Curry. And the guy asked me what and how some of the conversation Is going to change baseball. And I think it's going to be fun. But I do think the more that you can see, And you shared with us And I now happen to have four. But the sports athletes I got a junior in high school. it's the one that your He's born around the same time. Anything that you can think of I say take time to create a vision build the foundation, go for it. Great to have you on. Bringin' all the action here on The Cube.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Jim Brown | PERSON | 0.99+ |
Steve Wozniak | PERSON | 0.99+ |
Mark Zuckerman | PERSON | 0.99+ |
John | PERSON | 0.99+ |
Dave Anderson | PERSON | 0.99+ |
Joe Montana | PERSON | 0.99+ |
Steve Jobs | PERSON | 0.99+ |
Steph | PERSON | 0.99+ |
Stephen Curry | PERSON | 0.99+ |
Reggie Jackson | PERSON | 0.99+ |
Michael Jordan | PERSON | 0.99+ |
George Steinbrenner | PERSON | 0.99+ |
Peter | PERSON | 0.99+ |
George Steinbrenner | PERSON | 0.99+ |
Peter Burris | PERSON | 0.99+ |
Jimmy Brown | PERSON | 0.99+ |
Reggie | PERSON | 0.99+ |
second question | QUANTITY | 0.99+ |
Tom Brady | PERSON | 0.99+ |
Stephen Curry | PERSON | 0.99+ |
San Francisco | LOCATION | 0.99+ |
Bill McDermott | PERSON | 0.99+ |
Bill Gates | PERSON | 0.99+ |
Irwin Croyes | PERSON | 0.99+ |
George Brett | PERSON | 0.99+ |
five | QUANTITY | 0.99+ |
Yankees | ORGANIZATION | 0.99+ |
Wayne Gethman | PERSON | 0.99+ |
Jack Welch | PERSON | 0.99+ |
Silicon Valley | LOCATION | 0.99+ |
John Furrier | PERSON | 0.99+ |
180,000 | QUANTITY | 0.99+ |
30 | QUANTITY | 0.99+ |
Orlando | LOCATION | 0.99+ |
Console Inc. | ORGANIZATION | 0.99+ |
United States | LOCATION | 0.99+ |
$200 | QUANTITY | 0.99+ |
Today | DATE | 0.99+ |
six years | QUANTITY | 0.99+ |
Peyton Manning | PERSON | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
25 | QUANTITY | 0.99+ |
Pennsylvania | LOCATION | 0.99+ |
Mark | PERSON | 0.99+ |
$300 | QUANTITY | 0.99+ |
nine years | QUANTITY | 0.99+ |
17 | QUANTITY | 0.99+ |
Billy Martin | PERSON | 0.99+ |
yesterday | DATE | 0.99+ |
ESPN | ORGANIZATION | 0.99+ |
eight | QUANTITY | 0.99+ |
Pete | PERSON | 0.99+ |
Philadelphia | LOCATION | 0.99+ |
Apple | ORGANIZATION | 0.99+ |
tomorrow | DATE | 0.99+ |
Nike | ORGANIZATION | 0.99+ |
20 | QUANTITY | 0.99+ |
Ronny Fog | PERSON | 0.99+ |
Oakland | LOCATION | 0.99+ |
Phil Knight | PERSON | 0.99+ |
Chevrolet | ORGANIZATION | 0.99+ |
this week | DATE | 0.99+ |
Breaking Analysis: What Black Hat '22 tells us about securing the Supercloud
>> From theCUBE Studios in Palo Alto in Boston, bringing you data driven insights from theCUBE and ETR, This is "Breaking Analysis with Dave Vellante". >> Black Hat 22 was held in Las Vegas last week, the same time as theCUBE Supercloud event. Unlike AWS re:Inforce where words are carefully chosen to put a positive spin on security, Black Hat exposes all the warts of cyber and openly discusses its hard truths. It's a conference that's attended by technical experts who proudly share some of the vulnerabilities they've discovered, and, of course, by numerous vendors marketing their products and services. Hello, and welcome to this week's Wikibon CUBE Insights powered by ETR. In this "Breaking Analysis", we summarize what we learned from discussions with several people who attended Black Hat and our analysis from reviewing dozens of keynotes, articles, sessions, and data from a recent Black Hat Attendees Survey conducted by Black Hat and Informa, and we'll end with the discussion of what it all means for the challenges around securing the supercloud. Now, I personally did not attend, but as I said at the top, we reviewed a lot of content from the event which is renowned for its hundreds of sessions, breakouts, and strong technical content that is, as they say, unvarnished. Chris Krebs, the former director of Us cybersecurity and infrastructure security agency, CISA, he gave the keynote, and he spoke about the increasing complexity of tech stacks and the ripple effects that that has on organizational risk. Risk was a big theme at the event. Where re:Inforce tends to emphasize, again, the positive state of cybersecurity, it could be said that Black Hat, as the name implies, focuses on the other end of the spectrum. Risk, as a major theme of the event at the show, got a lot of attention. Now, there was a lot of talk, as always, about the expanded threat service, you hear that at any event that's focused on cybersecurity, and tons of emphasis on supply chain risk as a relatively new threat that's come to the CISO's minds. Now, there was also plenty of discussion about hybrid work and how remote work has dramatically increased business risk. According to data from in Intel 471's Mark Arena, the previously mentioned Black Hat Attendee Survey showed that compromise credentials posed the number one source of risk followed by infrastructure vulnerabilities and supply chain risks, so a couple of surveys here that we're citing, and we'll come back to that in a moment. At an MIT cybersecurity conference earlier last decade, theCUBE had a hypothetical conversation with former Boston Globe war correspondent, Charles Sennott, about the future of war and the role of cyber. We had similar discussions with Dr. Robert Gates on theCUBE at a ServiceNow event in 2016. At Black Hat, these discussions went well beyond the theoretical with actual data from the war in Ukraine. It's clear that modern wars are and will be supported by cyber, but the takeaways are that they will be highly situational, targeted, and unpredictable because in combat scenarios, anything can happen. People aren't necessarily at their keyboards. Now, the role of AI was certainly discussed as it is at every conference, and particularly cyber conferences. You know, it was somewhat dissed as over hyped, not surprisingly, but while AI is not a panacea to cyber exposure, automation and machine intelligence can definitely augment, what appear to be and have been stressed out, security teams can do this by recommending actions and taking other helpful types of data and presenting it in a curated form that can streamline the job of the SecOps team. Now, most cyber defenses are still going to be based on tried and true monitoring and telemetry data and log analysis and curating known signatures and analyzing consolidated data, but increasingly, AI will help with the unknowns, i.e. zero-day threats and threat actor behaviors after infiltration. Now, finally, while much lip service was given to collaboration and public-private partnerships, especially after Stuxsnet was revealed early last decade, the real truth is that threat intelligence in the private sector is still evolving. In particular, the industry, mid decade, really tried to commercially exploit proprietary intelligence and, you know, do private things like private reporting and monetize that, but attitudes toward collaboration are trending in a positive direction was one of the sort of outcomes that we heard at Black Hat. Public-private partnerships are being both mandated by government, and there seems to be a willingness to work together to fight an increasingly capable adversary. These things are definitely on the rise. Now, without this type of collaboration, securing the supercloud is going to become much more challenging and confined to narrow solutions. and we're going to talk about that little later in the segment. Okay, let's look at some of the attendees survey data from Black Hat. Just under 200 really serious security pros took the survey, so not enough to slice and dice by hair color, eye color, height, weight, and favorite movie genre, but enough to extract high level takeaways. You know, these strongly agree or disagree survey responses can sometimes give vanilla outputs, but let's look for the ones where very few respondents strongly agree or disagree with a statement or those that overwhelmingly strongly agree or somewhat agree. So it's clear from this that the respondents believe the following, one, your credentials are out there and available to criminals. Very few people thought that that was, you know, unavoidable. Second, remote work is here to stay, and third, nobody was willing to really jinx their firms and say that they strongly disagree that they'll have to respond to a major cybersecurity incident within the next 12 months. Now, as we've reported extensively, COVID has permanently changed the cybersecurity landscape and the CISO's priorities and playbook. Check out this data that queries respondents on the pandemic's impact on cybersecurity, new requirements to secure remote workers, more cloud, more threats from remote systems and remote users, and a shift away from perimeter defenses that are no longer as effective, e.g. firewall appliances. Note, however, the fifth response that's down there highlighted in green. It shows a meaningful drop in the percentage of remote workers that are disregarding corporate security policy, still too many, but 10 percentage points down from 2021 survey. Now, as we've said many times, bad user behavior will trump good security technology virtually every time. Consistent with the commentary from Mark Arena's Intel 471 threat report, fishing for credentials is the number one concern cited in the Black Hat Attendees Survey. This is a people and process problem more than a technology issue. Yes, using multifactor authentication, changing passwords, you know, using unique passwords, using password managers, et cetera, they're all great things, but if it's too hard for users to implement these things, they won't do it, they'll remain exposed, and their organizations will remain exposed. Number two in the graphic, sophisticated attacks that could expose vulnerabilities in the security infrastructure, again, consistent with the Intel 471 data, and three, supply chain risks, again, consistent with Mark Arena's commentary. Ask most CISOs their number one problem, and they'll tell you, "It's a lack of talent." That'll be on the top of their list. So it's no surprise that 63% of survey respondents believe they don't have the security staff necessary to defend against cyber threats. This speaks to the rise of managed security service providers that we've talked about previously on "Breaking Analysis". We've seen estimates that less than 50% of organizations in the US have a SOC, and we see those firms as ripe for MSSP support as well as larger firms augmenting staff with managed service providers. Now, after re:Invent, we put forth this conceptual model that discussed how the cloud was becoming the first line of defense for CISOs, and DevOps was being asked to do more, things like securing the runtime, the containers, the platform, et cetera, and audit was kind of that last line of defense. So a couple things we picked up from Black Hat which are consistent with this shift and some that are somewhat new, first, is getting visibility across the expanded threat surface was a big theme at Black Hat. This makes it even harder to identify risk, of course, this being the expanded threat surface. It's one thing to know that there's a vulnerability somewhere. It's another thing to determine the severity of the risk, but understanding how easy or difficult it is to exploit that vulnerability and how to prioritize action around that. Vulnerability is increasingly complex for CISOs as the security landscape gets complexified. So what's happening is the SOC, if there even is one at the organization, is becoming federated. No longer can there be one ivory tower that's the magic god room of data and threat detection and analysis. Rather, the SOC is becoming distributed following the data, and as we just mentioned, the SOC is being augmented by the cloud provider and the managed service providers, the MSSPs. So there's a lot of critical security data that is decentralized and this will necessitate a new cyber data model where data can be synchronized and shared across a federation of SOCs, if you will, or mini SOCs or SOC capabilities that live in and/or embedded in an organization's ecosystem. Now, to this point about cloud being the first line of defense, let's turn to a story from ETR that came out of our colleague Eric Bradley's insight in a one-on-one he did with a senior IR person at a manufacturing firm. In a piece that ETR published called "Saved by Zscaler", check out this comment. Quote, "As the last layer, we are filtering all the outgoing internet traffic through Zscaler. And when an attacker is already on your network, and they're trying to communicate with the outside to exchange encryption keys, Zscaler is already blocking the traffic. It happened to us. It happened and we were saved by Zscaler." So that's pretty cool. So not only is the cloud the first line of defense, as we sort of depicted in that previous graphic, here's an example where it's also the last line of defense. Now, let's end on what this all means to securing the supercloud. At our Supercloud 22 event last week in our Palo Alto CUBE Studios, we had a session on this topic on supercloud, securing the supercloud. Security, in our view, is going to be one of the most important and difficult challenges for the idea of supercloud to become real. We reviewed in last week's "Breaking Analysis" a detailed discussion with Snowflake co-founder and president of products, Benoit Dageville, how his company approaches security in their data cloud, what we call a superdata cloud. Snowflake doesn't use the term supercloud. They use the term datacloud, but what if you don't have the focus, the engineering depth, and the bank roll that Snowflake has? Does that mean superclouds will only be developed by those companies with deep pockets and enormous resources? Well, that's certainly possible, but on the securing the supercloud panel, we had three technical experts, Gee Rittenhouse of Skyhigh Security, Piyush Sharrma who's the founder of Accurics who sold to Tenable, and Tony Kueh, who's the former Head of Product at VMware. Now, John Furrier asked each of them, "What is missing? What's it going to take to secure the supercloud? What has to happen?" Here's what they said. Play the clip. >> This is the final question. We have one minute left. I wish we had more time. This is a great panel. We'll bring you guys back for sure after the event. What one thing needs to happen to unify or get through the other side of this fragmentation and then the challenges for supercloud? Because remember, the enterprise equation is solve complexity with more complexity. Well, that's not what the market wants. They want simplicity. They want SaaS. They want ease of use. They want infrastructure risk code. What has to happen? What do you think, each of you? >> So I can start, and extending to the previous conversation, I think we need a consortium. We need a framework that defines that if you really want to operate on supercloud, these are the 10 things that you must follow. It doesn't matter whether you take AWS, Slash, or TCP or you have all, and you will have the on-prem also, which means that it has to follow a pattern, and that pattern is what is required for supercloud, in my opinion. Otherwise, security is going everywhere. They're like they have to fix everything, find everything, and so on and so forth. It's not going to be possible. So they need a framework. They need a consortium, and this consortium needs to be, I think, needs to led by the cloud providers because they're the ones who have these foundational infrastructure elements, and the security vendor should contribute on providing more severe detections or severe findings. So that's, in my opinion, should be the model. >> Great, well, thank you, Gee. >> Yeah, I would think it's more along the lines of a business model. We've seen in cloud that the scale matters, and once you're big, you get bigger. We haven't seen that coalesce around either a vendor, a business model, or whatnot to bring all of this and connect it all together yet. So that value proposition in the industry, I think, is missing, but there's elements of it already available. >> I think there needs to be a mindset. If you look, again, history repeating itself. The internet sort of came together around set of IETF, RSC standards. Everybody embraced and extended it, right? But still, there was, at least, a baseline, and I think at that time, the largest and most innovative vendors understood that they couldn't do it by themselves, right? And so I think what we need is a mindset where these big guys, like Google, let's take an example. They're not going to win at all, but they can have a substantial share. So how do they collaborate with the ecosystem around a set of standards so that they can bring their differentiation and then embrace everybody together. >> Okay, so Gee's point about a business model is, you know, business model being missing, it's broadly true, but perhaps Snowflake serves as a business model where they've just gone out and and done it, setting or trying to set a de facto standard by which data can be shared and monetized. They're certainly setting that standard and mandating that standard within the Snowflake ecosystem with its proprietary framework. You know, perhaps that is one answer, but Tony lays out a scenario where there's a collaboration mindset around a set of standards with an ecosystem. You know, intriguing is this idea of a consortium or a framework that Piyush was talking about, and that speaks to the collaboration or lack thereof that we spoke of earlier, and his and Tony's proposal that the cloud providers should lead with the security vendor ecosystem playing a supporting role is pretty compelling, but can you see AWS and Azure and Google in a kumbaya moment getting together to make that happen? It seems unlikely, but maybe a better partnership between the US government and big tech could be a starting point. Okay, that's it for today. I want to thank the many people who attended Black Hat, reported on it, wrote about it, gave talks, did videos, and some that spoke to me that had attended the event, Becky Bracken, who is the EIC at Dark Reading. They do a phenomenal job and the entire team at Dark Reading, the news desk there, Mark Arena, whom I mentioned, Garrett O'Hara, Nash Borges, Kelly Jackson, sorry, Kelly Jackson Higgins, Roya Gordon, Robert Lipovsky, Chris Krebs, and many others, thanks for the great, great commentary and the content that you put out there, and thanks to Alex Myerson, who's on production, and Alex manages the podcasts for us. Ken Schiffman is also in our Marlborough studio as well, outside of Boston. Kristen Martin and Cheryl Knight, they help get the word out on social media and in our newsletters, and Rob Hoff is our Editor-in-Chief at SiliconANGLE and does some great editing and helps with the titles of "Breaking Analysis" quite often. Remember these episodes, they're all available as podcasts, wherever you listen, just search for "Breaking Analysis Podcasts". I publish each on wikibon.com and siliconangle.com, and you could email me, get in touch with me at david.vellante@siliconangle.com or you can DM me @dvellante or comment on my LinkedIn posts, and please do check out etr.ai for the best survey data in the enterprise tech business. This is Dave Vellante for theCUBE Insights powered by ETR. Thanks for watching, and we'll see you next time on "Breaking Analysis". (upbeat music)
SUMMARY :
with Dave Vellante". and the ripple effects that This is the final question. and the security vendor should contribute that the scale matters, the largest and most innovative and the content that you put out there,
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Cheryl Knight | PERSON | 0.99+ |
Alex Myerson | PERSON | 0.99+ |
Robert Lipovsky | PERSON | 0.99+ |
Eric Bradley | PERSON | 0.99+ |
Chris Krebs | PERSON | 0.99+ |
Charles Sennott | PERSON | 0.99+ |
Becky Bracken | PERSON | 0.99+ |
Rob Hoff | PERSON | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
Tony | PERSON | 0.99+ |
Ken Schiffman | PERSON | 0.99+ |
John Furrier | PERSON | 0.99+ |
Kelly Jackson | PERSON | 0.99+ |
Gee Rittenhouse | PERSON | 0.99+ |
Benoit Dageville | PERSON | 0.99+ |
Tony Kueh | PERSON | 0.99+ |
Mark Arena | PERSON | 0.99+ |
Piyush Sharrma | PERSON | 0.99+ |
Kristen Martin | PERSON | 0.99+ |
Roya Gordon | PERSON | 0.99+ |
CISA | ORGANIZATION | 0.99+ |
Snowflake | ORGANIZATION | 0.99+ |
ORGANIZATION | 0.99+ | |
Palo Alto | LOCATION | 0.99+ |
Garrett O'Hara | PERSON | 0.99+ |
Accurics | ORGANIZATION | 0.99+ |
Boston | LOCATION | 0.99+ |
US | LOCATION | 0.99+ |
2021 | DATE | 0.99+ |
Skyhigh Security | ORGANIZATION | 0.99+ |
Black Hat | ORGANIZATION | 0.99+ |
10 things | QUANTITY | 0.99+ |
Tenable | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
david.vellante@siliconangle.com | OTHER | 0.99+ |
Nash Borges | PERSON | 0.99+ |
last week | DATE | 0.99+ |
Intel | ORGANIZATION | 0.99+ |
Las Vegas | LOCATION | 0.99+ |
Robert Gates | PERSON | 0.99+ |
one minute | QUANTITY | 0.99+ |
63% | QUANTITY | 0.99+ |
less than 50% | QUANTITY | 0.99+ |
Second | QUANTITY | 0.99+ |
SiliconANGLE | ORGANIZATION | 0.99+ |
last week | DATE | 0.99+ |
each | QUANTITY | 0.99+ |
Kelly Jackson Higgins | PERSON | 0.99+ |
Alex | PERSON | 0.99+ |
2016 | DATE | 0.99+ |
Black Hat 22 | EVENT | 0.99+ |
VMware | ORGANIZATION | 0.99+ |
third | QUANTITY | 0.99+ |
three | QUANTITY | 0.99+ |
Black Hat | EVENT | 0.98+ |
three technical experts | QUANTITY | 0.98+ |
first line | QUANTITY | 0.98+ |
fifth response | QUANTITY | 0.98+ |
supercloud | ORGANIZATION | 0.98+ |
ETR | ORGANIZATION | 0.98+ |
Ukraine | LOCATION | 0.98+ |
Boston Globe | ORGANIZATION | 0.98+ |
Dr. | PERSON | 0.98+ |
one answer | QUANTITY | 0.97+ |
wikibon.com | OTHER | 0.97+ |
first line | QUANTITY | 0.97+ |
this week | DATE | 0.96+ |
first | QUANTITY | 0.96+ |
Marlborough | LOCATION | 0.96+ |
siliconangle.com | OTHER | 0.95+ |
Saved by Zscaler | TITLE | 0.95+ |
Palo Alto CUBE Studios | LOCATION | 0.95+ |
hundreds of sessions | QUANTITY | 0.95+ |
ORGANIZATION | 0.94+ | |
both | QUANTITY | 0.94+ |
one | QUANTITY | 0.94+ |
dozens of keynotes | QUANTITY | 0.93+ |
today | DATE | 0.93+ |
Alexia Clements, HPE | HPE Discover 2022
>>The cube presents HPE discover 2022 brought to you by HPE. >>Hello, everybody. Welcome to day three of the Cube's coverage of HPE discover 2022 we're live from Las Vegas and the Venetian convention center. This is I, I counted him up. I think this is the 14th HP HP slash HPE. Discover that we've done really excited to welcome in Alexia Clements. She's the vice president of go to market for HPE GreenLake cloud services. That's all the rage everybody's talking about. Green, all the wood behind the arrow, as the saying goes, welcome to the queue. Good to see >>You. Thank you so much for having me thrilled to be here. >>You walk up Janet Jackson last night, >>Epic. Wow. She killed it. She was awesome. >>I thought the band was super tight, but the other thing was the place was >>Packed. It was >>Nice. You know, what happens is a lot of time they put the band in the getaway day, you know, and nobody stays, but wow, the, the hall was jammed. >>It was great. It was, you could feel the momentum and the excitement. And it was just a great way to, to kind of end the, the HP discover. So it was great. >>Yeah. I mean, I, I mentioned that we've been to a lot of HP slash HPE discovers and, and this one was different in the sense that I think first of all, 8,000 people, yep. People are excited to get back together, but I think, you know, HPE has a spring in its step and the customers are kind of interested. It's much more focused than some of the past HPE discoverers, which was kind of hard to get my hands around. Sometimes the business was sort of an Antonio's pulled that together. So what's changed since the last time we were face to face. >>We're transforming and hope you all saw that on the, on the floor here. So, um, we're absolutely trans going through a transformation and, you know, I, I think we're, you know, we're shifting to an edge to cloud platform company. And with that, it's, it's how we approach our customers differently and our partners and, you know, we're hoping that, uh, we showed this week and that, that we're different and we're transforming. >>So how do you spend your time Mo mostly in front of customers having conversations about what, what their needs are and aligning is that right? >>Yeah. So, um, I, I lead the, the go to market for GreenLake. So that's everything around how we're driving our as a service go to market strategy, how we're driving programs, enablement, how we're really in the end, how we're executing on that as a service strategy from a sales perspective. >>So what do you hear? Of course, a lot of that involves partners. Yep. Right. I mean, that's kind of the route to market. Absolutely. The HPE prefers for obvious reasons, although others don't necessarily share that, but, but, so what are you hearing from the partner ecosystem and the customers that their biggest challenges are now that we're entering the let's call it the post isolation economy? <laugh> >>Yeah. I mean, the reality is, is digital transformations are hard and I think some customers, um, who haven't necessarily moved forward on it or, you know, maybe they move forward and they're realizing, Hey, I'm stuck and I'm not, I'm not getting to where I wanna be and really, you know, driving that end state. So, I mean, I, I would just say overall, I think things are like, customers are, are struggling if they didn't, you know, they're falling behind a little bit. And I think through the conversations that we're having and through HP green, like it gives customers choice. And so really, um, I mean, what, you know, I spend my time with, and, and when we're talking to customers and partners, it's about helping customers on that digital transformation journey and understanding what are they trying to drive? What business outcomes are they trying to drive and how we can help them get there. So >>I, I often call it the force March to digital yep. With the pandemic. Um, and, and I, I was looking at a survey recently, I think it was put on by couch base. And it was probably on a thousand respondents and it was a CIO survey and they asked who's, who's responsible for the digital transformation at the organization and overwhelmingly it was the it organization. And I said, uhoh, that's the problem now. But it made sense to me because when the economy shut down, everybody went to it and said help, right. Make this work somehow. Right. But, but what, that doesn't seem to me to be the right prescription for a successful digital transformation. Do you agree with that? And what do you see as a successful template for DX? >>Well, I think what, what we see is that really the lines of business are desperate to move fast and they're really looking for their it partners to help them in that journey and, and, and drive, you know, whether it be, you know, drive them, you know, drive orders, drive, you know, they need it to help them in that journey. And so really it's gotta be a partnership between the two organizations. And what we're trying to do with HP GreenLake is kind of abstract that almost. So, Hey, we're gonna give it to you in an, as a service and you're gonna get all of these components. And all you have to think about is where do I need to grow and what are the outcomes that I'm looking for? So that's what it's gotta be. There's gotta be tight alignment, I think between the lines of business and it, and sometimes those two don't know how to talk to each other. >>Mm-hmm <affirmative> so that's another way of, of really trying to speak to the business leaders and say, what are you trying to do? Where do you need to go? And what do you need to get? And, and a lot of times they don't even know what they need to get there. So that's where we need to have those different conversations with our customers to, and that's where we look for our partners to help us in that. So really having those different conversations to progress, um, what, you know, what customers are really looking to, to drive, >>How, how does GreenLake specifically accelerate that transformation? Where does it fit? Maybe you can kind of take us through, you know, a, a generic example of how that works. >>Yeah. I mean, a great example is, you know, especially with the pandemic is desktop, Hey, you now need to, you know, everybody's working from different locations. So, you know, desktop as a service VDI as a service, and, you know, you're putting it in a, you know, per whatever, you know, per you can, whatever variable pricing you want, but think about it, you have that one pay as you go. And so the it organization, all they have to think about is that's my, you know, per, per unit price there. So that's a great example of how we saw, like, especially during the pandemic, that was something that was, you know, a huge area of focus organizations. What's >>The spectrum that you see in terms of, you know, the maturity model, if you will, a digital transformation. I mean, if you weren't in a digital business during the pandemic, you were pretty much out of business. Yeah. And with very few exceptions. Um, and so, okay. So on the one end, you have folks that sort of were forced into it. You, my forced March scenario, others were actually moving quite a bit along before the pandemic, others were kind of given at lip service and maybe doing a few projects. What do you see as that spectrum? >>I think if you're not transforming, you're falling behind. And so everybody needs to be, you know, looking to the future and understanding, you know, really trying to get aggressive on that. And that's what we're seeing. We're seeing companies who, you know, aren't moving fast on that or falling behind. >>Do you see a bifurcation? I'm sure you do those that say, yeah, I want as a service and others that say, look, I I'm really well capitalized. I'm gonna gimme the, gimme the CapEx. I'm gonna put it in and run it myself. And is there a relationship between that approach and their digital transformation maturity, or is it kind of just really their preference? >>I, I mean, for us, we're meeting customers where they're at on their journey and their multi-cloud journey. So some, and, and what I'm seeing is that every customer today has multiple clouds, whether that be their, you know, their kind of, MultiGen it, the, the legacy stuff that they've gotta deal with. They've got stuff in public clouds, and they're trying to really transform and figure out how do I work all of that in like, how do I move forward with that new operating model? And so what I'm seeing is, you know, we're gonna meet customers where they're at on their journey. So some are gonna continue to go down that path in a, how they've always purchased their it. And others are really, you know, more often than not, we're seeing, they want that as a service cloudlike to have all the benefits of cloud, but yet still have it on their prem or in a colo or, you know, at the edge. So I do see some of those customers who are thinking differently, right. That, and they're the ones that are more apt to be a little bit more aggressive on their digital transformation. They're, they're open to the possibility if that makes sense. No, >>It does. It makes total sense. I, I, I think, you know, on the one hand they're a lot of customers are trying to build their own cloud. Yep. Um, so you mention multicloud, I'm not gonna go to Amazon to help me with my multicloud strategy. That's not, that's not gonna be my preferr. Yeah. I might talk to Microsoft about it a little bit. Google's got Antos and that's kind of interesting, but you know, Google's not enterprise, they got good data, but so, but there are other choices out there. Why HPE for my cloud hybrid multi-cloud strategy, give us the >>Sticker. It's, it's the best of both worlds for customers. So it enables them to have the security. It enables them to grow, to, to be in their data centers or in colos at the edge. It allows them to not over provision. It allows them to pay as they go and pay as they grow there's. Um, and then it also really is that ease factor. So it it's that thinking about it as I have, I already, I know what my pricing is. I know what that predictability is from a pricing perspective and what my costs are gonna be. So all of those things really re that all those messages resonate with customers, >>Right? L thanks so much for coming on. We got the trains are backing up super tight schedule today. This is wall to wall coverage of HPE. Discover. Thank you. Thank >>You so much for having me appreciate it. >>You're SU very welcome. All right. Keep it right there. Dave ante is here. John furrier, HPE discover 2022 from Las Vegas. We're live. We'll be right back.
SUMMARY :
Welcome to day three of the Cube's coverage of HPE discover 2022 She was awesome. It was you know, and nobody stays, but wow, the, the hall was jammed. It was, you could feel the momentum and the excitement. People are excited to get back together, but I think, you know, HPE has a spring in its you know, I, I think we're, you know, we're shifting to an edge to cloud platform company. So that's everything around So what do you hear? I'm not getting to where I wanna be and really, you know, driving that end state. And what do you see as a successful template journey and, and, and drive, you know, whether it be, you know, And what do you need to get? Maybe you can kind of take us through, you know, a, a generic example of how that works. like, especially during the pandemic, that was something that was, you know, a huge area So on the one end, you have folks that sort of were forced into it. you know, looking to the future and understanding, you know, really trying to get aggressive on that. Do you see a bifurcation? And so what I'm seeing is, you know, we're gonna meet customers where they're at on their journey. Google's got Antos and that's kind of interesting, but you know, So it enables them to have the security. We got the trains are backing up super tight schedule today. Keep it right there.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Alexia Clements | PERSON | 0.99+ |
Janet Jackson | PERSON | 0.99+ |
Las Vegas | LOCATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
John furrier | PERSON | 0.99+ |
HP | ORGANIZATION | 0.99+ |
ORGANIZATION | 0.99+ | |
HPE | ORGANIZATION | 0.99+ |
two organizations | QUANTITY | 0.99+ |
CapEx | ORGANIZATION | 0.99+ |
today | DATE | 0.98+ |
two | QUANTITY | 0.98+ |
8,000 people | QUANTITY | 0.98+ |
GreenLake | ORGANIZATION | 0.98+ |
this week | DATE | 0.97+ |
last night | DATE | 0.96+ |
March | DATE | 0.95+ |
pandemic | EVENT | 0.93+ |
day three | QUANTITY | 0.93+ |
14th | QUANTITY | 0.91+ |
both worlds | QUANTITY | 0.89+ |
one | QUANTITY | 0.81+ |
Venetian convention center | LOCATION | 0.79+ |
HPE discovers | ORGANIZATION | 0.79+ |
2022 | DATE | 0.78+ |
Dave ante | PERSON | 0.75+ |
HP discover | ORGANIZATION | 0.74+ |
thousand respondents | QUANTITY | 0.7+ |
first | QUANTITY | 0.67+ |
2022 | OTHER | 0.63+ |
Antonio | PERSON | 0.58+ |
discover 2022 | COMMERCIAL_ITEM | 0.5+ |
SU | PERSON | 0.46+ |
DX | ORGANIZATION | 0.44+ |
GreenLake | COMMERCIAL_ITEM | 0.37+ |
Antonio Neri, HPE | HPE Discover 2022
>>The cube presents HPE discover 2022 brought to you by HPE. >>Hey everyone. Welcome back to the Cube's continuing coverage of HPE. Discover 22 live from Las Vegas, the Venetian expo center at Lisa Martin and Dave Velante have a very special guest. Next one of our esteemed alumni here on the cube, Antonio Neri, the president and CEO of HPE, Antonio. Thank you so much for joining us this morning. >>Well, thanks for free with us today. >>Great to be back here after three years away. Yeah. Sit on stage yesterday in front of a massive sea of people. The energy here is electric. Yeah. Must have felt great yesterday, but you, you stood on stage three years ago and said buy 20, 22. And here it is. Yeah. We're gonna deliver our entire portfolio as a service. What was it like to be on stage and say we've done that. Here's where we are. We are a new company. >>Well, first of all, as always, I love the cube to cover HP discover, as you said, has been many, many years, and I hope you saw a different company yesterday. I'm really proud of what happened yesterday, because it was a pivotable moment in our journey. If I reflect back in my four years as a CEO, we said the enterprise of the future will be edge centric, cloud enable and data driven in 2018. And I pledged to invest 4 billion over four years. And you see the momentum we have at the edge with our business. And then in 19, to your point, Lisa, we said, by the end of 2022, we will offer everything as a service. When you look at the floor behind us, everything is a as a service experience from the moment you log through IHP GreenLake platform to all the cloud services we offer. So for me, it is a proud moment because our team worked really hard to deliver on that province on the face of a lot of challenges, >>Tremendous challenges, the last couple years that nobody could have predicted or even forecast, how can we tolerate this? Talk to me about your customer conversations and how they have changed and evolved as every company today has to be a data company. >>Well, even this morning, up to this interview, I already met four customers in, in less than an hour and a half. And I will say all of them, first of all, really appreciated bringing HP discover back. And what they really appreciated was the fact that they had the opportunity to meet and greet and talk to people. The energy that comes from that engagement is second to none. And I think says something right about the moment we are at this time, where the return to work and everything else. I think this is a wake up call in many ways, but customers are telling us is that they want to engage with a partner that has a vision that can take them to their journey, whatever that journey is. And we know digital transformation is core to everything, but ultimately they are now more focused on delivering outcomes for the organization they're running in it. And that's why HP GreenLake is incredible well positioned to do so, you >>Know, just picking up on that. I, I, I counted Antonio. I think I've been to 14 HP and HPE discovers when you include Europe. Yeah. I mean, Frankford, London, Barcelona Madrid, of course, you know the us, and I've never seen why I've tweeted this out. I've never seen this type of energy. Right. People are excited to get back. That's part of it. The other big part of it is course the focus. Yeah. So that focus on as a service was a burn, the boat moment for HPV. >>I don't think it was a burn the boat moment. It was a moment that we have to decide how we think about the future and how we become even more relevant for customers. And we are very important to all the customers they buy from us. Right. But I think about the next 3, 5, 10 years, how we position the company, enter the future to be relevant to whatever they need to do. >>Well, what I mean by that is you're not turning back. No, the bridge is gone. You go, you're going forward. And so my question is, did the pandemic accelerate that move or did it, did it hinder it? And, and, and how so >>Actually it was an, a moment for us to think about how we go further and faster to what we call this journey to one, one platform, one experience. And, and we felt as a team, as an organization, this was a unique moment in time to go further, faster. So to us, it was a catalyst to accelerate that transformation. >>Yeah. Now I, I want to ask you a question in your keynote. I love this, cuz you say I'm often asked by customers, what workload should we move to the public cloud and what should stay on prem? I'm like, yeah, I get that question all the time. And I was waiting for the answer. You said, that's the wrong question. And I was like, wait, but that's the question everybody's asking. So it was really interesting that you said that. And I wonder if you could, you could comment. And I think you said basically the world's hybrid is your challenge with, with the customers in this initiative to actually get people to stop asking that question. Right. And not think about that. >>No, I think the challenge we all collectively have is that how we think about data and how we drive what I call a data first modernization, you know, strategy for our customers in an age to cloud architecture, which basically says you are living a hybrid world is not a question which workloads are put in the public cloud, which workloads are put OnPrem. You know, the, all the issues around data gravity and whatnot is a question of how I bring the cloud experience to all your workloads of data, wherever they live. And that's where, you know, the opportunity really exists. And as customers understand more and more about the new environments, how they work, how they enable these new experiences is all driven by that data. And that data has enormous value. So it's not about which cloud use is about how you bring the cloud experience to your data in workloads. >>When you're talking to CIOs, especially transformational CIOs, what's the value pro to those CIOs that wanna transform and need to transform with the power of HPE. >>More and more of them are becoming conscious about the fact that they need to go faster in everything they do. We have done some interesting analysis with the brands that have done a better job or have become way more proficient on extracting insight from the data. They are actually the brands that winning the marketplace, not just with customers driving the preference, but also in the market capitalization because they become where more sophisticated in driving better efficiency, which is a necessity today. Second is the fact that also they need to improve their security aspect of it, but they are creating new experiences and new revenue streams. And those transformational CIOs are transforming their business in the way they run it into more an innovation engine. And so that's why, you know, we love working with them because they are advanced and the push has to think differently in the way we think about the innovation. How >>Do you help customers go from data, rich insight, port to data, rich insight, rich actions, new revenue, streams, new services. >>Well, first of all, you have to deploy the right architecture, which starts with a network, obviously because digital transformation requires an on-ramp and the connectivity is the first step. Second is to make sure you have a true end to end visibility of that data. And that's why we announced yesterday with the data fabric, right? A, a revolutionary way to think about that age to cloud architecture from a data driven perspective. And then the third piece of this is, is the aspect of how we bring that intelligence to that data. And that's where, you know, we are enabling all these amazing services with AI machine learning with, with, you know, HP GreenLake, which is ultimately the way we are gonna enable them. >>What's your favorite announcement from this week? >>I think HP GreenLake, you know, I think I >>Mentioned a lot of GreenLake, >>36 times HP GreenLake. And to me, you know, as I think about what comes next, right, is about how we innovate now on the platform at the pace that customers are demanding. And so for me, there is a lot of things there, but obviously the private cloud enterprise edition was a big moment for us because that's the way we bring the cloud operating experience on-prem and at the edge, but also all the hybrid capabilities that Brian showed during the demo is something that I think customers now say, wow, I didn't know. We can do that. >>And thinking about your business, you know, despite some macro headwinds and, and like you, you reaffirmed your guidance on the, on the last earnings call. Does GreenLake give you better visibility or is it harder to predict? >>No, I think the more we get engaged with customers in running their workloads and data, the more visibility we get, you know, I said, you know, customers voted with the workloads and data. And in, in that context, you know, we already have 65,000 customers more than 120,000 users. And the one interesting stat, which I hope it didn't go lost during that transition was the, the fact that we now have under the GreenLake management over an next bite of data. And so to me, right, that's a unique, a unique opportunity for us to learn and improve the whole cycle. >>So obviously a big pillar of your strategy is the data. And I wanted, if you could talk more about that because I, I would observe, you know, we, the cube started in sort of as big data, you know, started to take off and you saw that had ecosystem and, and that ecosystem has dispersed now. Yeah. So gone into the cloud, it's got snowflakes pulling and some in Mongo. Now you have the opportunity with this ecosystem yeah. To have a data ecosystem. How do you look at the ecosystem and the value that your partners can build on top of GreenLake and specifically monetize? Well, >>If you walk through the floor, one of the things we changed this time is that the partners are actually in the flow of all our solutions, not sitting on a corner of the show floor, right? And, and, and that's because what we have done in the last three years has been together with our partners, but we conceive HP GreenLake with the partners in mind, at the core of everything we do in the platform. And that's why on Monday we announced the new partner one ready vantage program that actually opens the platform through our APIs for allowing them to add their own value on the platform, whether in their own services to the marketplace or the other way around they to use our capabilities in their own solutions. Because some of these cloud operating capabilities are hard to develop, whether it is, you know, metering and billing and all the other services, sometimes you don't don't have to build yourself. So that's why, what we love about our strategies, the partners can decide where to participate in this broad ecosystem and then grow with us and we can grow through them as well. >>So GreenLake as a service, the focus is, is very clear. Hybrid is very clear. What's less clear to me is, is that I'll and I'll ask you to comment, is this, we go a term called super cloud and super cloud is different than multi-cloud multi-cloud oh, I run in AWS or, and, or I run in Azure. I run in, in, in GCP, Supercloud builds a layer above that hides the underlying complexity of the primitives and the APIs, and then builds new value on top of that, out to the edge as well. You guys talk about the edge all the time. You have Aruba a as an asset, you got space space born. You're doing some pretty edge. Like, well, >>We have it here. Yeah. Yeah. We are connected to the ISS. So if you were to that show floor, you can actually see what's being processed today. >>I mean, that's, you don't get more edge than that. So my question is, is, is that part of the vision to actually build that I call super cloud layer? Or is it more to be focused on hybrid and connecting on-prem to the cloud? >>No, I, I don't like to call it super cloud because that means, unless you are a superpower, you can't do what you need to do. I, I think I call it a super straight okay. Right. That we are enabling to our H to cloud architecture. So the customers can build their own experiences and consume the services that they need to compete and win in today's market. So our H to cloud approach is to create that substrate with connectivity, obviously the cloud and the data capability that you need to operate in today's >>Environment. Okay. So they're fair enough. I would say that your customers are gonna build then the super cloud on top of that software. >>Well, actually we want to give it to them. They don't have to build anything. They just need to run the business. Well, they don't have the time to really build stuff. They just need to innovate that's our, our value proposition. So they don't have to waste cycles in doing so if it comes ready to go, why you want to build it? >>Well, when I say build it, I'm talking about building their business on top of it things you're not gonna, I agree with that, bringing their tools, financial services companies with their data, their tools, their ecosystem, connecting OnPrem to the clouds. Yeah. That above that substrate that's their as a digital. >>Yeah. And that's why I said yesterday with our approach, we're actually enabling customers to power the next generation business models that they need. We enable the substrate, they can innovate on the platform, these next gen business models, >>Tap your engineering mind. And I'd like you to talk about how architectures are changing you along with many, many other CEOs signed a letter to, to the us government, you know, urging them to, to, to pass the chips act. As I posted on LinkedIn, there were, there were a few notables missing apple wasn't on there, meta wasn't on there, Tesla wasn't on there. I'd like to see them step up and sign that. Yeah. And so why did you, you know, sign that? Why did you post that? And, and, and why is that important? >>Well, first of all, it's important to customers because obviously they need to get access to technologies in a more ubiquitous way. And second it's important for the United States. We live in a, in a global economy that today is going to a refactoring of sorts where supply chain disruption has caused a lot of consternation and disruption across many industries. And I think, you know, as we think about the next generation supply chains, which are built for resiliency and obviously inclusion, we need to make sure that the United States address this problem. Because once you fall behind, it takes a long time to catch up. Even if we sign the chips act, it's gonna take many years for us, but we need to start now. Otherwise we never get what we need to >>Get. I, I agree. We're late. I think pat Gelsinger has done a very good job laying out the mission, you know, to bring, I mean, to me, it's modest, bring 20% of the manufacturing back to the us by the end of the decade. I mean that that's not gonna be easy, but even so that's, >>That's, we need stuff somewhere. Absolutely. You know, we are great partners with Intel. I really support the vision that path has laid out. And its not just about Intel again, it's about our customers in the United States, >>HP and HPE now cuz H HP labs is part of, of HPE. I believe that's correct state. Well, >>We refocus HP labs as a part of our high performance. Yeah. And AI business. Yes. >>But H HP and, and now HPE possess custom Silicon expertise. We may, we always >>Had. >>Yeah, exactly. And, and you know, with the fabulous world, do you see, I mean, you probably do in some custom Silicon today that I don't really, you know, have visibility on, but do you see getting more into that? Is there a need for >>That? Yeah. Well we already design more than 60 different silicons that are included in our solution. More and more of that. Silicon is actually in support of our other service experience. That's truly programmable for this new way to deploy a cloud or a data fabric or a network in fabric of sorts. When you look our, our age portfolio as a part of green lake through our Aruba set of offerings, we actually have a lot of the Silicon building. Our switching portfolio that's program. Normally give us the ability to drive intelligent routing in the network at the application layer. But also as you know, many years ago, we introduced our own ILO, the lights out technology, the BMC type of support that allows us to provide security to the root of our systems. But now more implement a cloud operating security environment if you will, but there is many more in the analog space for AI at scale. And even the latest introduction with frontier. When you look at frontier that wonderful high performance exit scale system, the, the magic of that is in the Silicon we developed, which is the interconnect fabric. Plus the smart mix at massive massive scale for parallel computing. And then ultimately it's the software environment that we put on top of it. So we can process billion, billion, square transactions per second. >>And when you think about a lot of the AI today is modeling, that's done in the cloud. When you think about the edge actual real time in, you're not gonna send all that back to the cloud. When you have to make a left turn or a right turn, >>Stop sign. I think, you know, people need to realize that 70% of the data today is outside the public cloud and 50% is at the edge. And when you think about the real time use cases, actually 30% of that data will need to be processed real time. So which means you need to establish inference the rate at the edge and at the same time run, you know, the analytics at the edge, whether it's machine learnings or some sort of simulation they need to do at the edge. And so that's why, you know, we can provide inference. We can provide machine learning at the edge on top of the connectivity and the edge compute or cloud computing at the edge. But also we can provide on the other side, AI at scale for massive amount of data analytics. And >>Will that be part of the GreenLake? >>We already offered that experience. We already offered that as a HPC, as a service is one of the key services we provide at scale. And then you also have machine learning operations as a service. So we have both and with the data fabric, now we're gonna take it to one step forward so we can connect the data. And I think one of the most exciting services, I actually, I'm a true believer. That is the capability we develop through HP labs. Since you asked for that early on, which is called the swarm learning technology. Of >>Course. Yeah. I've talked to Dr. GU about there you >>Go. >>So, so he >>Will do a better job than me explaining, >>Hey, I don't know. You're pretty, pretty good at it, but he's awesome. I mean, I have to admit on your keynote, you specifically took the time to mention your support for women's rights. Yes. Will HPE pay for women to leave the state to have a medical procedure? >>Yeah. So what happened last week was a sad moment in a history. I believe we, as a company felt compelled to stand up and take a position on the rights of women to choose. And as a part of that, we already offer as a part of our benefits, the ability to travel and pay all the medical expenses related to their choice. >>Yeah. Well thank you for doing that. I appreciate it. As a, as a father of two daughters who have less rights than, than my wife did when she was their age, I applaud you for your bravery and standing up and, and thank you for doing that. How excited are you for Janet Jackson? >>I think is gonna be a phenomenal rap of the HP discover, I think is gonna be a great moment for people to celebrate the coming together. One of the feedback I got from the meetings early on from customers is that put aside the vision, the strategy, the solutions that they actually can experience themselves is the fact that the, the, the one thing that really appreciated it is that they can be together. They can talk to people, they can learn with each other from each other. That energy is obviously very palpable when you go through it. And I think, you know, the celebration tonight and I want to thank the sponsor for allowing us to do so, is, is the fact that, you know, it's gonna be a moment of reuniting ourselves and look at the Fu at the future with optimism, but have some fun. >>Well, that's great, Antonio, as I said, I've been to a lot of HP and HPE discovers. You've brought a new focus clearly to the company, outstanding job of, of getting people aligned. I mean, it's not easy. It's 60,000, you know, professionals a around the globe and the energy is like I've never seen before. So congratulations. Thank you so much for coming back in the queue. >>Thank you, Dave. And as always, we appreciate you covering the, the event. You, you share the news with all the audiences around the globe here and, and that's, that means us means a lot to us. Thank you. Thank you. >>And thank you for watching. This is Dave Velante for Lisa Martin and John furrier. We'll be right back with our next guest. Live from HPE. Discover 2022 in Las Vegas.
SUMMARY :
Thank you so much for joining us this morning. Great to be back here after three years away. Well, first of all, as always, I love the cube to cover HP discover, as you said, Talk to me about your customer conversations and how they have changed and right about the moment we are at this time, where the return to work and I think I've been to 14 HP and HPE discovers the company, enter the future to be relevant to whatever they need to do. And so my question is, did the pandemic accelerate that move So to us, it was a catalyst to accelerate And I think you about how you bring the cloud experience to your data in workloads. those CIOs that wanna transform and need to transform with the power of HPE. And so that's why, you know, we love working with them because they are advanced and the push Do you help customers go from data, rich insight, port to data, And that's where, you know, we are enabling all these amazing services And to me, you know, you reaffirmed your guidance on the, on the last earnings call. the more visibility we get, you know, I said, you know, customers voted with the workloads and data. sort of as big data, you know, started to take off and you saw that had ecosystem and, are hard to develop, whether it is, you know, metering and billing and all the other What's less clear to me is, is that I'll and I'll ask you to comment, is this, we go a term called super So if you were to that show floor, you can actually see I mean, that's, you don't get more edge than that. obviously the cloud and the data capability that you need to operate in today's I would say that your customers are gonna build then the super cloud on top of that software. ready to go, why you want to build it? their ecosystem, connecting OnPrem to the clouds. We enable the And I'd like you to talk about how architectures are changing you along And I think, you know, as we think about the next generation supply chains, you know, to bring, I mean, to me, it's modest, bring 20% of the manufacturing back to the us by the end I really support the vision that path has laid out. I believe that's correct state. And AI business. We may, we always And, and you know, with the fabulous world, do you see, I mean, the magic of that is in the Silicon we developed, which is the interconnect fabric. And when you think about a lot of the AI today is modeling, And so that's why, you know, we can provide inference. And then you also have machine learning operations as a I mean, I have to admit on your keynote, the ability to travel and pay all the medical expenses related to their choice. have less rights than, than my wife did when she was their age, I applaud you for your And I think, you know, It's 60,000, you know, you share the news with all the audiences around the globe here and, And thank you for watching.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Janet Jackson | PERSON | 0.99+ |
2018 | DATE | 0.99+ |
Dave Velante | PERSON | 0.99+ |
Dave | PERSON | 0.99+ |
Brian | PERSON | 0.99+ |
20% | QUANTITY | 0.99+ |
HPE | ORGANIZATION | 0.99+ |
Las Vegas | LOCATION | 0.99+ |
4 billion | QUANTITY | 0.99+ |
Antonio Neri | PERSON | 0.99+ |
Tesla | ORGANIZATION | 0.99+ |
Lisa | PERSON | 0.99+ |
HP | ORGANIZATION | 0.99+ |
Lisa Martin | PERSON | 0.99+ |
Antonio | PERSON | 0.99+ |
30% | QUANTITY | 0.99+ |
yesterday | DATE | 0.99+ |
70% | QUANTITY | 0.99+ |
Monday | DATE | 0.99+ |
50% | QUANTITY | 0.99+ |
United States | LOCATION | 0.99+ |
Second | QUANTITY | 0.99+ |
60,000 | QUANTITY | 0.99+ |
last week | DATE | 0.99+ |
apple | ORGANIZATION | 0.99+ |
two daughters | QUANTITY | 0.99+ |
more than 60 different silicons | QUANTITY | 0.99+ |
GreenLake | ORGANIZATION | 0.99+ |
today | DATE | 0.99+ |
third piece | QUANTITY | 0.99+ |
more than 120,000 users | QUANTITY | 0.99+ |
four customers | QUANTITY | 0.99+ |
H HP | ORGANIZATION | 0.99+ |
first step | QUANTITY | 0.99+ |
three years ago | DATE | 0.99+ |
both | QUANTITY | 0.99+ |
AWS | ORGANIZATION | 0.98+ |
ORGANIZATION | 0.98+ | |
less than an hour and a half | QUANTITY | 0.98+ |
John furrier | PERSON | 0.98+ |
one | QUANTITY | 0.98+ |
end of 2022 | DATE | 0.98+ |
Intel | ORGANIZATION | 0.98+ |
one platform | QUANTITY | 0.98+ |
BMC | ORGANIZATION | 0.98+ |
chips act | TITLE | 0.98+ |
four years | QUANTITY | 0.98+ |
tonight | DATE | 0.97+ |
this week | DATE | 0.97+ |
this morning | DATE | 0.97+ |
one experience | QUANTITY | 0.97+ |
GU | PERSON | 0.97+ |
20 | QUANTITY | 0.96+ |
Frankford | ORGANIZATION | 0.96+ |
second | QUANTITY | 0.96+ |
36 times | QUANTITY | 0.96+ |
Stepan Pushkarev, Provectus & Russell Lamb, PepsiCo | Amazon re:MARS 2022
(upbeat music) >> Okay, welcome back everyone to theCUBE's coverage here at re:MARS. I'm John Furrier, host of theCUBE. It's the event where it's part of the "re:" series: re:MARS, re:Inforce, re:Invent. MARS stands for machine learning, automation, robotics, and space. And a lot of conversation is all about AI machine learning. This one's about AI and business transformation. We've got Stepan Pushkarev CTO, CEO, Co-Founder of Provectus. Welcome to theCUBE. And Russ Lamb, eCommerce Retail Data Engineering Lead at PepsiCo, customer story. Gentlemen, thanks for coming on theCUBE. >> Great to be here, John. >> Yeah, thanks for having us. >> I love the practical customer stories because it brings everything to life. This show is about the future, but it's got all the things we want, we love: machine learning, robotics, automation. If you're in DevOps, or you're in data engineering, this is the world of automation. So what's the relationship? You guys, you're a customer. Talk about the relationship between you guys. >> Sure, sure. Provectus as a whole is a professional services firm, premier, a AWS partner, specializing in machine learning, data, DevOps. PepsiCo is our customer, our marquee customer, lovely customer. So happy to jointly present at this re:Invent, sorry, re:MARS. Anyway, Russ... >> I made that mistake earlier, by the way, 'cause re:Invent's always on the tip of my tongue and re:MARS is just, I'm not used to it yet, but I'm getting there. Talk about what are you guys working together on? >> Well, I mean, we work with Provectus in a lot of ways. They really helped us get started within our e-commerce division with AWS, provided a lot of expertise in that regard and, you know, just hands-on experience. >> We were talking before we came on camera, you guys just had another talk and how it's all future and kind of get back to reality, Earth. >> Russ: Get back to Earth. >> If we're on earth still. We're not on Mars yet, or the moon. You know, AI's kind of got a future, but it does give a tell sign to what's coming, industrial change, full transformation, 'cause cloud does the back office. You got data centers. Now you've got cloud going to the edge with industrial spaces, the ultimate poster child of edge and automation safety. But at the end of the day, we're still in the real world. Now people got to run businesses. And I think, you know, having you here is interesting. So I have to ask you, you know, as you look at the technology, you got to see AI everywhere. And the theme here, to me, that I see is the inflection point driving all this future robotics change, that everyone's been waiting for by the way, but it's like been in movies and in novels, is the machine learning and AI as the tipping point. This is key. And now you're here integrating AI into your company. Tell us your story. >> Well, I think that every enterprise is going to need more machine learning, more, you know, AI or data science. And that's the journey that we're on right now. And we've come a long way in the past six years, particularly with our e-commerce division, it's a really data rich environment. So, you know, going from brick and mortar, you know, delivering to restaurants, vending machines and stuff, it's a whole different world when you're, people are ordering on Amazon every couple minutes, or seconds even, our products. But they, being able to track all that... >> Can you scope the problem statement and the opportunity? Because if I just kind of just, again, I'm not, you're in, it's your company, you're in the weeds, you're at the data, you're everything, But it just seems me, the world's now more integration, more different data sources. You've got suppliers, they have their different IT back ends. Some are in the cloud, some aren't in the cloud. This is, like, a hard problem when you want to bring data together. I mean, API certainly help, but can you scope the problem, and, like, what we're talking about here? >> Well, we've got so many different sources of data now, right? So we used to be relying on a couple of aggregators who would pull all this data for us and hand us an aggregated view of things. But now we're able to partner with different retailers and get detail, granular information about transactions, orders. And it's just changed the game, changed the landscape from just, like, getting a rough view, to seeing the nuts and bolts and, like, all the moving parts. >> Yeah, and you see in data engineering much more tied into like cloud scale. Then you got the data scientists, more the democratization application and enablement. So I got to ask, how did you guys connect? What was the problem statement? How did you guys, did you have smoke and fire? You came in solved the problem? Was it a growth thing? How did this, how did you guys connect as a customer with Provectus? >> Yeah, I can elaborate on that. So we were in the very beginning of that journey when there was, like, just a few people in this new startup, let's call it startup within PepsiCo. >> John: Yeah. >> Calling like a, it's not only e-commerce, it was a huge belief from the top management that it's going to bring tremendous value to the enterprise. So there was no single use case, "Hey, do this and you're going to get that." So it's a huge belief that e-commerce is the future. Some industry trends like from brand-centric to consumer-centric. So brand, product-centric. Amazon has the mission to build the most customer-centric customer company. And I believe that success, it gets a lot of enterprises are being influenced by that success. So I remember that time, PepsiCo had a huge belief. We started building just from scratch, figuring out what does the business need? What are the business use cases? We have not started with the IT. We have not started with this very complicated migrations, modernizations. >> John: So clean sheet of paper. >> Yeah. >> From scratch. >> From scratch. >> And so you got the green light. >> Yeah. >> And the leadership threw the holy water on that and said, "Hey, we'll do this."? >> That's exactly what happened. It was from the top down. The CEO kind of set aside the e-commerce vision as kind of being able to, in a rapidly evolving business place like e-commerce, it's a growing field. Not everybody's figured it out yet, but to be able to change quickly, right? The business needs to change quickly. The technology needs to change quickly. And that's what we're doing here. >> So this is interesting. A lot of companies don't have that, actually, luxury. I mean, it's still more fun because the tools are available now that all the hyper scales built on their own. I mean, back in the day, 10 years ago, they had to build it all, Facebook. You didn't know, I had people on here from Pinterest and other companies. They had to build all of that from scratch. Now cloud's here. So how did you guys do this? What was the playbook? Take us through the AI because it sounds like the AI is core, you know, belief principle of the whole entire system. What did you guys do? Take me through the journey there. >> Yeah. Beyond management decisions, strategic decisions that has been made as a separate startup, whatever- >> John: That's great. >> So some practical, tactical. So it may sound like a cliche, but it's a huge thing because I work with many enterprises and this, like, "center of excellence" that does a nice technology stuff and then looks for the budget on the different business units. It just doesn't go anywhere. It could take you forever to modernize. >> We call that the Game of Thrones environment. >> Yes. >> Yeah. Nothing ever gets done 'till it blows up at the end. >> Here, these guys, and I have to admit, I don't want to steal their thunder. I just want to emphasize it as an external person. These guys just made it so differently. >> John: Yeah. >> They even physically sat in a different office in a WeWork co-working and built that business from scratch. >> That's what Andy Jackson talked about two years ago. And if you look at some of the big successes on AWS, Capital One, all the big, Goldman Sachs. The leadership, real commitment, not like BS, like total commitment says, "Go." But enough rope to give you some room, right? >> Yeah. I think that's the thing is, there was always an IT presence, right, overseeing what we were doing within e-commerce, but we had a lot of freedoms to make design choices, technology choices, and really accelerate the business, focus on those use cases where we could make a big impact with a technology choice. >> Take me through the stages of the AI transformation. What are some of the use cases and specific tactics you guys executed on? >> Well, I think that the supply chain, which I think is a hot topic right now, but that was one use case where we're using, like, data real time, real time data to inform our sales projections and delivery logistics. But also our marketing return on investment, I feel like that was a really interesting, complex problem to solve using machine learning, Because there's so much data that we needed to process in terms of countries, territories, products, like where do you spend your limited marketing budget when you have so many choices, and, using machine learning, boil that all down to, you know, this is the optimal choice, right now. >> What were some of the challenges and how did you overcome them in the early days to get things set up, 'cause it takes a lot of energy to get it going, to get the models. What were some of the challenges and how did you overcome them? >> Well, I think some of it was expertise, right? Like having a partner like Provectus and Stepan really helped because they could guide us, Stepan could guide us, give his expertise and what he knows in terms of what he's seen to our budding and growing business. >> And what were the things that you guys saw that you contributed on? And was there anything new that you had to do together? >> Yeah, so yeah. First of all, just a very practical tip. Yes, start with the use cases. Clearly talk to the business and say, "Hey, these are the list of the use cases" and prioritize them. So not with IT, not with technology, not with the migration thing. Don't touch anything on legacy systems. Second, get data in. So you may have your legacy systems or some other third party systems that you work with. There's no AI without data. Get all the pipelines, get data. Quickly boat strap the data lake house. Put all the pipelines, all the governance in place. And yeah, literally took us three months to get up and running. And we started delivering first analytical reports. It's just to have something back to business and keep going. >> By the way, that's huge, speed. I mean, this is speed. You go back and had that baggage of IT and the old antiquated systems, you'd be dragging probably months. Right? >> It's years, years. Imagine you should migrate SAP to the cloud first. No, you don't do don't need to do that. >> Pipeline. >> Just get data. I need data. >> Stream that data. All right, where are we now? When did you guys start? I want to get just going to timeline my head 'cause I heard three months. Where are we now? You guys threw it. Now you have impact. You have, you have results. >> Yeah. I mean that for our marketing ROI engine, we've built it and it's developed within e-commerce, but we've started to spread it throughout the organization now. So it's not just about the digital and the e-commerce space. We're deploying it to, you know, regionally to other, to Europe, to Latin America, other divisions within PepsiCo. And it's just grown exponentially. >> So you have scale to it right now? >> Yeah. Well- >> How far are you in now? What, how many years, months, days? >> E-commerce, the division was created six years ago, which is, so we've had some time to develop this, our machine learning capabilities and this use case particular, but it's increasingly relevant and expansion is happening as we speak. >> What are you most proud of? You look back at the impact. What are you most proud of? >> I think the relationship we built with the people, you know, who use our technology, right. Just seeing the impact is what makes me proud. >> Can you give an example without revealing any confidential information? >> Yeah. Yeah. I mean, there was an example from my talk about, I was approached recently by our sales team. They were having difficulty with supply chain, monitoring our fill rate of our top brands with these retailers. And they come up to me, they have this problem. They're like, "How do we solve it?" So we work together to find a data source, just start getting that data in the hands of people who can use it within days. You know, not talking like a long time. Bring that data into our data warehouse, and then surface the data in a tool they can use, you know, within a matter of a week or two. >> I mean, the transformation is just incredible. In fact, we were talking on theCUBE earlier today around, you know, data warehouses in the cloud, data meshes of different pros and cons. And the theme that came out of that conversation was data's a product now. >> Yes. >> Yes. >> And what you're kind of describing is, just gimme the product or find it. >> Russ: Right. >> And bring it in with everything else. And there's some, you know, cleaning and stuff people do if they have issues with that. But, if not, it's just bring it in, right? It's a product. >> Well, especially with the data exchanges now. AWS has a data exchange and this, I think, is the future of data and what's possible with data because you don't have to start from, okay, I've got this Excel file somebody's been working with on their desktop. This is a, someone's taken that file, put it into a warehouse or a data model, and then they can share it with you. >> John: So are you happy with these guys? >> Absolutely, yeah. >> You're actually telling the story. What was the biggest impact that they did? Was it partnering? Was it writing code, bringing development in, counseling, all the above, managed services? What? >> I think the biggest impact was the idea, you know, like being able to bring ideas to the table and not just, you know, ask us what we want, right? Like I think Provectus is a true partner and was able to share that sort of expertise with us. >> You know, Andy Jackson, whenever I interview on theCUBE, he's now in charge of all Amazon. But when he was at (inaudible). He always had to use their learnings, get the learnings out. What was the learnings you look back now and say, Hey, those were tough times. We overcome them. We stopped, we started, we iterated, we kept moving forward. What was the big learning as you look back, some of the key success points, maybe some failures that you overcome. What was the big learnings that you could share with folks out there now that are in the same situation where they're saying, "Hey, I'd rather start from scratch and do a reset." >> Yeah. So with that in particular, yes, we started this like sort of startup within the enterprise, but now we've got to integrate, right? It's been six years and e-commerce is now sharing our data with the rest of the organization. How do we do that, right? There's an enterprise solution, and we've got this scrappy or, I mean, not scrappy anymore, but we've got our own, you know, way of doing. >> Kind of boot strap. I mean, you were kind of given charter. It's a start up within a big company, I mean- >> But our data platform now is robust, and it's one of the best I've seen. But how do we now get those systems to talk? And I think Provectus has came to us with, "Here, there's this idea called data mesh, where you can, you know, have these two independent platforms, but share the data in a centralized way. >> So you guys are obviously have a data mesh in place, big part of the architecture? >> So it is in progress, but we know the next step. So we know the next step. We know the next two steps, what we're going to do, what we need to do to make it really, to have that common method, data layer. between different data products within organization, different locations, different business units. So they can start talking to each other through the data and have specific escalates on the data. And yeah. >> It's smart because I think one of the things that people, I think, I'd love to get your reaction to this is that we've been telling the story for many, many years, you have horizontally scalable cloud and vertically specialized domain solutions, you need machine learning that's smart, but you need a lot of data to help it. And that's not, a new architecture, that's a data plane, it's control plane, but now everyone goes, "Okay, let's do silos." And they forget the scale side. And then they go, "Wait a minute." You know, "I'm not going to share it." And so you have this new debate of, and I want to own my own data. So the data layer becomes an interesting conversation. >> Yeah, yes. Meta data. >> Yeah. So what, how do you guys see that? Because this becomes a super important kind of decision point architecturally. >> I mean, my take is that there has to be some, there will always be domains, right? Everyone, like there's only so much that you can find commonality across, like in industry, for example. But there will always be a data owner. And, you know, kind of like what happened with rush to APIs, how that enabled microservices within applications and being sharing in a standardized way, I think something like that has to happen in the data space. So it's not a monolithic data warehouse, it's- >> You know, the other thing I want to ask you guys both, if you don't mind commenting while I got you here, 'cause you're both experts. >> We just did a showcase on data programmability. Kind of a radical idea, but like data as code, we called it. >> Oh yeah. >> And so if data's a product and you're acting on, you've got an architecture and system set up, you got to might code it's programmable. You need you're coding with data. Data becomes like a part of the development process. What do you guys think of when you hear data as code and data being programmable? >> Yeah, it's a interesting, so yeah, first of all, I think Russ can elaborate on that, Data engineering is also software engineering. Machine learning engineering is a software. At the end of the day, it's all product. So we can use different terms and buzz words for that but this is what we have at the end of the day. So having the data, well I will use another buzz word, but in terms of the headless architecture- >> Yes. >> When you have a nice SDK, nice API, but you can manipulate with the data as your programming object to build reach applications for your users, and give it, and share not as just a table in Redshift or a bunch of CSV files in S3 bucket, but share it as a programmable thing that you can work with. >> Data as code. >> Yeah. This is- >> Infrastructure code was a revolution for DevOps, but it's not AI Ops so it's something different. It's really it's data engineering. It's programming. >> Yeah. This is the way to deliver data to your consumers. So there are different ways you can show it on a dashboard. You can show it, you can expose it as an API, or you can give it as an object, programmable interface. >> So now you're set up with a data architecture that's extensible 'cause that's the goal. You don't want to foreclose. You must think about that must keep you up at night. What's going to foreclose that benefit? 'Cause there's more coming. Right? >> Absolutely. There's always more coming. And I think that's why it's important to have that robust data platform to work from. And yeah, as Stepan mentioned, I'm a big believer in data engineering as software engineering. It's not some like it's not completely separate. You have to follow the best practices software engineers practice. And, you know, really think about maintainability and scalability. >> You know, we were riffing about how cloud had the SRE managing all those servers. One person, data engineering has a many, a one to many relationships too. You got a lot going on. It's not managing a database. It's millions of data points and data opportunity. So gentlemen, thanks for coming on theCUBE. I really appreciate it. And thanks for telling the story of Pepsi. >> Of course, >> And great conversation. Congratulations on this great customer. And thanks for >> coming on theCUBE. >> Thanks, thank you. Thanks, Russ, would you like to wrap it up with the pantry shops story? >> Oh, yeah! I think it will just be a super relevant evidence of the agility and speed and some real world applicable >> Let's go. Close us out. >> So when, when the pandemic happened and there were lockdowns everywhere, people started buying things online. And we noticed this and got a challenge from our direct to consumer team saying, "Look, we need a storefront to be able to sell to our consumers, and we've got 30 days to do it." We need to be able to work fast. And so we built not just a website, but like everything that behind it, the logistics of supply chain aspects, the data platform. And we didn't just build one. We built two. We got pantry shop.com and snacks.com, within 30 days. >> Good domains! >> The domain broker was happy on that one. Well continue the story. >> Yeah, yeah. So I feel like that the agility that's required for that kind of thing and the like the planning to be able to scale from just, you know, an idea to something that people can use every day. And, and that's, I think.- >> And you know, that's a great point too, that shows if you're in the cloud, you're doing the work you're prepared for anything. The pandemic was the true test for who was ready because it was unforeseen force majeure. It was just like here it comes and the people who were in the cloud had that set up, could move quickly. The ones that couldn't. >> Exactly. >> We know what happened. >> And I would like to echo this. So they have built not just a website, they have built the whole business line within, and launched that successfully to production. That includes sales, marketing, supply chain, e-commerce, aside within 30 days. And that's just a role model that could be used by other enterprises. >> Yeah. And it was not possible without, first of all, right culture. And second, without cloud Amazon elasticity and all the tools that we have in place. >> Well, the right architecture allows for scale. That's the whole, I mean, you did everything right at the architecture that's scale. I mean, you're scaling. >> And we empower our engineers to make those choices, right. We're not, like, super bureaucratic where every decision has to be approved by the manager or the managers manager. The engineers have the power to just make good decisions, and that's how we move fast. >> That's exactly the future right there. And this is what it's all about. Reliability, scale agility, the ability to react and have applications roll out on top of it without long timeframes. Congratulations. Thanks for being on theCUBE. Appreciate it. All right. >> Thank you. >> Okay, you're watching theCUBE here at re:MARS 2020, I'm John Furrier. Stay tuned. We've got more coverage coming after this short break. (upbeat music)
SUMMARY :
It's the event where it's but it's got all the So happy to jointly on the tip of my tongue in that regard and, you know, kind of get back to reality, And the theme here, to me, that I see And that's the journey But it just seems me, the And it's just changed the So I got to ask, how did you guys connect? So we were in the very Amazon has the mission to And the leadership but to be able to change quickly, right? the AI is core, you know, strategic decisions that has been made on the different business units. We call that the Game it blows up at the end. Here, these guys, and I have to admit, that business from scratch. And if you look at some of accelerate the business, What are some of the use cases I feel like that was a really interesting, and how did you overcome them? to our budding and growing business. So you may have your legacy systems and the old antiquated systems, No, you don't do don't need to do that. I need data. You have, you have results. So it's not just about the E-commerce, the division You look back at the impact. you know, who use our technology, right. data in the hands of people I mean, the transformation just gimme the product or find it. And there's some, you know, is the future of data and all the above, managed services? was the idea, you know, maybe some failures that you overcome. the rest of the organization. you were kind of given charter. And I think Provectus has came to us with, So they can start talking to And so you have this new debate of, Yeah, yes. So what, how do you guys see that? that you can find commonality across, I want to ask you guys both, like data as code, we called it. of the development process. So having the data, well I but you can manipulate with the data Yeah. but it's not AI Ops so This is the way to deliver that's extensible 'cause that's the goal. And, you know, really And thanks for telling the story of Pepsi. And thanks for Thanks, Russ, would you like to wrap it up Close us out. the logistics of supply chain Well continue the story. like that the agility And you know, that's a great point too, And I would like to echo this. and all the tools that we have in place. I mean, you did everything The engineers have the power the ability to react and have Okay, you're watching theCUBE
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
John | PERSON | 0.99+ |
Andy Jackson | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Stepan Pushkarev | PERSON | 0.99+ |
PepsiCo | ORGANIZATION | 0.99+ |
Russ Lamb | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Stepan | PERSON | 0.99+ |
Russ | PERSON | 0.99+ |
John Furrier | PERSON | 0.99+ |
Goldman Sachs | ORGANIZATION | 0.99+ |
Europe | LOCATION | 0.99+ |
Earth | LOCATION | 0.99+ |
30 days | QUANTITY | 0.99+ |
three months | QUANTITY | 0.99+ |
Capital One | ORGANIZATION | 0.99+ |
Game of Thrones | TITLE | 0.99+ |
Mars | LOCATION | 0.99+ |
Excel | TITLE | 0.99+ |
Provectus | ORGANIZATION | 0.99+ |
Latin America | LOCATION | 0.99+ |
earth | LOCATION | 0.99+ |
two | QUANTITY | 0.99+ |
six years | QUANTITY | 0.99+ |
ORGANIZATION | 0.99+ | |
Second | QUANTITY | 0.99+ |
Redshift | TITLE | 0.99+ |
six years ago | DATE | 0.99+ |
10 years ago | DATE | 0.99+ |
a week | QUANTITY | 0.99+ |
ORGANIZATION | 0.99+ | |
Russell Lamb | PERSON | 0.98+ |
two steps | QUANTITY | 0.98+ |
two years ago | DATE | 0.98+ |
second | QUANTITY | 0.97+ |
first | QUANTITY | 0.97+ |
Pepsi | ORGANIZATION | 0.97+ |
both experts | QUANTITY | 0.97+ |
One person | QUANTITY | 0.97+ |
both | QUANTITY | 0.97+ |
pandemic | EVENT | 0.97+ |
one | QUANTITY | 0.96+ |
First | QUANTITY | 0.96+ |
two independent platforms | QUANTITY | 0.96+ |
snacks.com | ORGANIZATION | 0.95+ |
re:MARS | EVENT | 0.94+ |
S3 | TITLE | 0.94+ |
theCUBE | ORGANIZATION | 0.93+ |
millions | QUANTITY | 0.93+ |
earlier today | DATE | 0.9+ |
single use case | QUANTITY | 0.88+ |
moon | LOCATION | 0.87+ |
past six years | DATE | 0.83+ |
echo | COMMERCIAL_ITEM | 0.82+ |
a minute | QUANTITY | 0.79+ |
Dr. Matt Wood, AWS | AWS Summit SF 2022
(gentle melody) >> Welcome back to theCUBE's live coverage of AWS Summit in San Francisco, California. Events are back. AWS Summit in New York City this summer, theCUBE will be there as well. Check us out there. I'm glad to have events back. It's great to have of everyone here. I'm John Furrier, host of theCUBE. Dr. Matt Wood is with me, CUBE alumni, now VP of Business Analytics Division of AWS. Matt, great to see you. >> Thank you, John. It's great to be here. I appreciate it. >> I always call you Dr. Matt Wood because Andy Jackson always says, "Dr. Matt, we would introduce you on the arena." (Matt laughs) >> Matt: The one and only. >> The one and only, Dr. Matt Wood. >> In joke, I love it. (laughs) >> Andy style. (Matt laughs) I think you had walk up music too. >> Yes, we all have our own personalized walk up music. >> So talk about your new role, not a new role, but you're running the analytics business for AWS. What does that consist of right now? >> Sure. So I work. I've got what I consider to be one of the best jobs in the world. I get to work with our customers and the teams at AWS to build the analytics services that millions of our customers use to slice dice, pivot, better understand their data, look at how they can use that data for reporting, looking backwards. And also look at how they can use that data looking forward, so predictive analytics and machine learning. So whether it is slicing and dicing in the lower level of Hadoop and the big data engines, or whether you're doing ETL with Glue, or whether you're visualizing the data in QuickSight or building your models in SageMaker. I got my fingers in a lot of pies. >> One of the benefits of having CUBE coverage with AWS since 2013 is watching the progression. You were on theCUBE that first year we were at Reinvent in 2013, and look at how machine learning just exploded onto the scene. You were involved in that from day one. It's still day one, as you guys say. What's the big thing now? Look at just what happened. Machine learning comes in and then a slew of services come in. You've got SageMaker, became a hot seller right out of the gate. The database stuff was kicking butt. So all this is now booming. That was a real generational change over for database. What's the perspective? What's your perspective on that's evolved? >> I think it's a really good point. I totally agree. I think for machine learning, there's sort of a Renaissance in machine learning and the application of machine learning. Machine learning as a technology has been around for 50 years, let's say. But to do machine learning right, you need like a lot of data. The data needs to be high quality. You need a lot of compute to be able to train those models and you have to be able to evaluate what those models mean as you apply them to real world problems. And so the cloud really removed a lot of the constraints. Finally, customers had all of the data that they needed. We gave them services to be able to label that data in a high quality way. There's all the compute you need to be able to train the models. And so where you go? And so the cloud really enabled this Renaissance with machine learning. And we're seeing honestly a similar Renaissance with data and analytics. If you look back five to ten years, analytics was something you did in batch, your data warehouse ran an analysis to do reconciliation at the end of the month, and that was it. (John laughs) And so that's when you needed it. But today, if your Redshift cluster isn't available, Uber drivers don't turn up, DoorDash deliveries don't get made. Analytics is now central to virtually every business, and it is central to virtually every business's digital transformation. And being able to take that data from a variety of sources, be able to query it with high performance, to be able to actually then start to augment that data with real information, which usually comes from technical experts and domain experts to form wisdom and information from raw data. That's kind of what most organizations are trying to do when they kind of go through this analytics journey. >> It's interesting. Dave Velanta and I always talk on theCUBE about the future. And you look back, the things we're talking about six years ago are actually happening now. And it's not hyped up statement to say digital transformation is actually happening now. And there's also times when we bang our fists on the table saying, say, "I really think this is so important." And David says, "John, you're going to die on that hill." (Matt laughs) And so I'm excited that this year, for the first time, I didn't die on that hill. I've been saying- >> Do all right. >> Data as code is the next infrastructure as code. And Dave's like, "What do you mean by that?" We're talking about how data gets... And it's happening. So we just had an event on our AWS startups.com site, a showcase for startups, and the theme was data as code. And interesting new trends emerging really clearly, the role of a data engineer, right? Like an SRE, what an SRE did for cloud, you have a new data engineering role because of the developer onboarding is massively increasing, exponentially, new developers. Data science scientists are growing, but the pipelining and managing and engineering as a system, almost like an operating system. >> Kind of as a discipline. >> So what's your reaction to that about this data engineer, data as code? Because if you have horizontally scalable data, you've got to be open, that's hard (laughs), okay? And you got to silo the data that needs to be siloed for compliance and reason. So that's a big policy around that. So what's your reaction to data's code and the data engineering phenomenon? >> It's a really good point. I think with any technology project inside of an organization, success with analytics or machine learning, it's kind of 50% technology and then 50% cultural. And you have often domain experts. Those could be physicians or drug design experts, or they could be financial experts or whoever they might be, got deep domain expertise, and then you've got technical implementation teams. And there's kind of a natural, often repulsive force. I don't mean that rudely, but they just don't talk the same language. And so the more complex a domain and the more complex the technology, the stronger their repulsive force. And it can become very difficult for domain experts to work closely with the technical experts to be able to actually get business decisions made. And so what data engineering does and data engineering is, in some cases a team, or it can be a role that you play. It's really allowing those two disciplines to speak the same language. You can think of it as plumbing, but I think of it as like a bridge. It's a bridge between the technical implementation and the domain experts, and that requires a very disparate range of skills. You've got to understand about statistics, you've got to understand about the implementation, you got to understand about the data, you got to understand about the domain. And if you can put all of that together, that data engineering discipline can be incredibly transformative for an organization because it builds the bridge between those two groups. >> I was advising some young computer science students at the sophomore, junior level just a couple of weeks ago, and I told them I would ask someone at Amazon this question. So I'll ask you, >> Matt: Okay. since you've been in the middle of it for years, they were asking me, and I was trying to mentor them on how do you become a data engineer, from a practical standpoint? Courseware, projects to work on, how to think, not just coding Python, because everyone's coding in Python, but what else can they do? So I was trying to help them. I didn't really know the answer myself. I was just trying to kind of help figure it out with them. So what is the answer, in your opinion, or the thoughts around advice to young students who want to be data engineers? Because data scientists is pretty clear on what that is. You use tools, you make visualizations, you manage data, you get answers and insights and then apply that to the business. That's an application. That's not the standing up a stack or managing the infrastructure. So what does that coding look like? What would your advice be to folks getting into a data engineering role? >> Yeah, I think if you believe this, what I said earlier about 50% technology, 50 % culture, the number one technology to learn as a data engineer is the tools in the cloud which allow you to aggregate data from virtually any source into something which is incrementally more valuable for the organization. That's really what data engineering is all about. It's about taking from multiple sources. Some people call them silos, but silos indicates that the storage is kind of fungible or undifferentiated. That's really not the case. Success requires you to have really purpose built, well crafted, high performance, low cost engines for all of your data. So understanding those tools and understanding how to use them, that's probably the most important technical piece. Python and programming and statistics go along with that, I think. And then the most important cultural part, I think is... It's just curiosity. You want to be able to, as a data engineer, you want to have a natural curiosity that drives you to seek the truth inside an organization, seek the truth of a particular problem, and to be able to engage because probably you're going to some choice as you go through your career about which domain you end up in. Maybe you're really passionate about healthcare, or you're really just passionate about transportation or media, whatever it might be. And you can allow that to drive a certain amount of curiosity. But within those roles, the domains are so broad you kind of got to allow your curiosity to develop and lead you to ask the right questions and engage in the right way with your teams, because you can have all the technical skills in the world. But if you're not able to help the team's truth seek through that curiosity, you simply won't be successful. >> We just had a guest, 20 year old founder, Johnny Dallas who was 16 when he worked at Amazon. Youngest engineer- >> Johnny Dallas is a great name, by the way. (both chuckle) >> It's his real name. It sounds like a football player. >> That's awesome. >> Rock star. Johnny CUBE, it's me. But he's young and he was saying... His advice was just do projects. >> Matt: And get hands on. Yeah. >> And I was saying, hey, I came from the old days where you get to stand stuff up and you hugged on for the assets because you didn't want to kill the project because you spent all this money. And he's like, yeah, with cloud you can shut it down. If you do a project that's not working and you get bad data no one's adopting it or you don't like it anymore, you shut it down, just something else. >> Yeah, totally. >> Instantly abandon it and move on to something new. That's a progression. >> Totally! The blast radius of decisions is just way reduced. We talk a lot about in the old world, trying to find the resources and get the funding is like, all right, I want to try out this kind of random idea that could be a big deal for the organization. I need $50 million and a new data center. You're not going to get anywhere. >> And you do a proposal, working backwards, documents all kinds of stuff. >> All that sort of stuff. >> Jump your hoops. >> So all of that is gone. But we sometimes forget that a big part of that is just the prototyping and the experimentation and the limited blast radius in terms of cost, and honestly, the most important thing is time, just being able to jump in there, fingers on keyboards, just try this stuff out. And that's why at AWS, we have... Part of the reason we have so many services, because we want, when you get into AWS, we want the whole toolbox to be available to every developer. And so as your ideas develop, you may want to jump from data that you have that's already in a database to doing realtime data. And then you have the tools there. And when you want to get into real time data, you don't just have kinesis, you have real time analytics, and you can run SQL against that data. The capabilities and the breadth really matter when it comes to prototyping. >> That's the culture piece, because what was once a dysfunctional behavior. I'm going to go off the reservation and try something behind my boss' back, now is a side hustle or fun project. So for fun, you can just code something. >> Yeah, totally. I remember my first Hadoop projects. I found almost literally a decommissioned set of servers in the data center that no one was using. They were super old. They're about to be literally turned off. And I managed to convince the team to leave them on for me for another month. And I installed Hadoop on them and got them going. That just seems crazy to me now that I had to go and convince anybody not to turn these servers off. But what it was like when you- >> That's when you came up with Elastic MapReduce because you said this is too hard, we got to make it easier. >> Basically yes. (John laughs) I was installing Hadoop version Beta 9.9 or whatever. It was like, this is really hard. >> We got to make it simpler. All right, good stuff. I love the walk down memory Lane. And also your advice. Great stuff. I think culture is huge. That's why I like Adam's keynote at Reinvent, Adam Selipsky talk about Pathfinders and trailblazers, because that's a blast radius impact when you can actually have innovation organically just come from anywhere. That's totally cool. >> Matt: Totally cool. >> All right, let's get into the product. Serverless has been hot. We hear a lot of EKS is hot. Containers are booming. Kubernetes is getting adopted, still a lot of work to do there. Cloud native developers are booming. Serverless, Lambda. How does that impact the analytics piece? Can you share the hot products around how that translates? >> Absolutely, yeah. >> Aurora, SageMaker. >> Yeah, I think it's... If you look at kind of the evolution and what customers are asking for, they don't just want low cost. They don't just want this broad set of services. They don't just want those services to have deep capabilities. They want those services to have as low an operating cost over time as possible. So we kind of really got it down. We got built a lot of muscle, a lot of services about getting up and running and experimenting and prototyping and turning things off and turning them on and turning them off. And that's all great. But actually, you really only in most projects start something once and then stop something once, and maybe there's an hour in between or maybe there's a year. But the real expense in terms of time and operations and complexity is sometimes in that running cost. And so we've heard very loudly and clearly from customers that running cost is just undifferentiated to them. And they want to spend more time on their work. And in analytics, that is slicing the data, pivoting the data, combining the data, labeling the data, training their models, running inference against their models, and less time doing the operational pieces. >> Is that why the service focuses there? >> Yeah, absolutely. It dramatically reduces the skill required to run these workloads of any scale. And it dramatically reduces the undifferentiated heavy lifting because you get to focus more of the time that you would have spent on the operations on the actual work that you want to get done. And so if you look at something just like Redshift Serverless, that we launched a Reinvent, we have a lot of customers that want to run the cluster, and they want to get into the weeds where there is benefit. We have a lot of customers that say there's no benefit for me, I just want to do the analytics. So you run the operational piece, you're the experts. We run 60 million instant startups every single day. We do this a lot. >> John: Exactly. We understand the operations- >> I just want the answers. Come on. >> So just give me the answers or just give me the notebook or just give me the inference prediction. Today, for example, we announced Serverless Inference. So now once you've trained your machine learning model, just run a few lines of code or you just click a few buttons and then you got an inference endpoint that you do not have to manage. And whether you're doing one query against that end point per hour or you're doing 10 million, we'll just scale it on the back end. I know we got not a lot of time left, but I want to get your reaction on this. One of the things about the data lakes not being data swamps has been, from what I've been reporting and hearing from customers, is that they want to retrain their machine learning algorithm. They need that data, they need the real time data, and they need the time series data. Even though the time has passed, they got to store in the data lake. So now the data lake's main function is being reusing the data to actually retrain. It works properly. So a lot of post mortems turn into actually business improvements to make the machine learnings smarter, faster. Do you see that same way? Do you see it the same way? >> Yeah, I think it's really interesting >> Or is that just... >> No, I think it's totally interesting because it's convenient to kind of think of analytics as a very clear progression from point A to point B. But really, you're navigating terrain for which you do not have a map, and you need a lot of help to navigate that terrain. And so having these services in place, not having to run the operations of those services, being able to have those services be secure and well governed. And we added PII detection today. It's something you can do automatically, to be able to use any unstructured data, run queries against that unstructured data. So today we added text queries. So you can just say, well, you can scan a badge, for example, and say, well, what's the name on this badge? And you don't have to identify where it is. We'll do all of that work for you. It's more like a branch than it is just a normal A to B path, a linear path. And that includes loops backwards. And sometimes you've got to get the results and use those to make improvements further upstream. And sometimes you've got to use those... And when you're downstream, it will be like, "Ah, I remember that." And you come back and bring it all together. >> Awesome. >> So it's a wonderful world for sure. >> Dr. Matt, we're here in theCUBE. Just take the last word and give the update while you're here what's the big news happening that you're announcing here at Summit in San Francisco, California, and update on the business analytics group. >> Yeah, we did a lot of announcements in the keynote. I encourage everyone to take a look at, that this morning with Swami. One of the ones I'm most excited about is the opportunity to be able to take dashboards, visualizations. We're all used to using these things. We see them in our business intelligence tools, all over the place. However, what we've heard from customers is like, yes, I want those analytics, I want that visualization, I want it to be up to date, but I don't actually want to have to go from my tools where I'm actually doing my work to another separate tool to be able to look at that information. And so today we announced 1-click public embedding for QuickSight dashboard. So today you can literally as easily as embedding a YouTube video, you can take a dashboard that you've built inside QuickSight, cut and paste the HTML, paste it into your application and that's it. That's what you have to do. It takes seconds. >> And it gets updated in real time. >> Updated in real time. It's interactive. You can do everything that you would normally do. You can brand it, there's no power by QuickSight button or anything like that. You can change the colors, fit in perfectly with your application. So that's an incredibly powerful way of being able to take an analytics capability that today sits inside its own little fiefdom and put it just everywhere. Very transformative. >> Awesome. And the business is going well. You got the Serverless detail win for you there. Good stuff. Dr. Matt Wood, thank you for coming on theCUBE. >> Anytime. Thank you. >> Okay, this is theCUBE's coverage of AWS Summit 2022 in San Francisco, California. I'm John Furrier, host of theCUBE. Stay with us for more coverage of day two after this short break. (gentle music)
SUMMARY :
It's great to have of everyone here. I appreciate it. I always call you Dr. Matt Wood The one and only, In joke, I love it. I think you had walk up music too. Yes, we all have our own So talk about your and the big data engines, One of the benefits and you have to be able to evaluate And you look back, and the theme was data as code. And you got to silo the data And so the more complex a domain students at the sophomore, junior level I didn't really know the answer myself. the domains are so broad you kind of We just had a guest, is a great name, by the way. It's his real name. His advice was just do projects. Matt: And get hands on. and you hugged on for the assets move on to something new. and get the funding is like, And you do a proposal, And then you have the tools there. So for fun, you can just code something. And I managed to convince the team That's when you came I was installing Hadoop I love the walk down memory Lane. How does that impact the analytics piece? that is slicing the data, And so if you look at something We understand the operations- I just want the answers. that you do not have to manage. And you don't have to and give the update while you're here is the opportunity to be able that you would normally do. And the business is going well. Thank you. I'm John Furrier, host of theCUBE.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Johnny Dallas | PERSON | 0.99+ |
Andy Jackson | PERSON | 0.99+ |
John Furrier | PERSON | 0.99+ |
Dave Velanta | PERSON | 0.99+ |
Dave | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
John | PERSON | 0.99+ |
Matt | PERSON | 0.99+ |
Adam Selipsky | PERSON | 0.99+ |
10 million | QUANTITY | 0.99+ |
$50 million | QUANTITY | 0.99+ |
Matt Wood | PERSON | 0.99+ |
60 million | QUANTITY | 0.99+ |
today | DATE | 0.99+ |
50% | QUANTITY | 0.99+ |
five | QUANTITY | 0.99+ |
Adam | PERSON | 0.99+ |
two groups | QUANTITY | 0.99+ |
San Francisco, California | LOCATION | 0.99+ |
16 | QUANTITY | 0.99+ |
2013 | DATE | 0.99+ |
Python | TITLE | 0.99+ |
1-click | QUANTITY | 0.99+ |
a year | QUANTITY | 0.99+ |
Today | DATE | 0.99+ |
Hadoop | TITLE | 0.99+ |
ten years | QUANTITY | 0.99+ |
two disciplines | QUANTITY | 0.99+ |
New York City | LOCATION | 0.99+ |
San Francisco, California | LOCATION | 0.99+ |
an hour | QUANTITY | 0.99+ |
first | QUANTITY | 0.99+ |
this year | DATE | 0.99+ |
CUBE | ORGANIZATION | 0.99+ |
first time | QUANTITY | 0.98+ |
50 % | QUANTITY | 0.98+ |
theCUBE | ORGANIZATION | 0.98+ |
millions | QUANTITY | 0.98+ |
AWS Summit | EVENT | 0.98+ |
YouTube | ORGANIZATION | 0.98+ |
memory Lane | LOCATION | 0.98+ |
Uber | ORGANIZATION | 0.98+ |
20 year old | QUANTITY | 0.97+ |
day two | QUANTITY | 0.97+ |
One | QUANTITY | 0.97+ |
SageMaker | TITLE | 0.97+ |
AWS Summit 2022 | EVENT | 0.97+ |
QuickSight | TITLE | 0.96+ |
both | QUANTITY | 0.96+ |
Swami | PERSON | 0.96+ |
50 years | QUANTITY | 0.96+ |
one | QUANTITY | 0.96+ |
SQL | TITLE | 0.95+ |
Elastic MapReduce | TITLE | 0.95+ |
Dr. | PERSON | 0.94+ |
Johnny CUBE | PERSON | 0.93+ |
Analyst Power Panel: Future of Database Platforms
(upbeat music) >> Once a staid and boring business dominated by IBM, Oracle, and at the time newcomer Microsoft, along with a handful of wannabes, the database business has exploded in the past decade and has become a staple of financial excellence, customer experience, analytic advantage, competitive strategy, growth initiatives, visualizations, not to mention compliance, security, privacy and dozens of other important use cases and initiatives. And on the vendor's side of the house, we've seen the rapid ascendancy of cloud databases. Most notably from Snowflake, whose massive raises leading up to its IPO in late 2020 sparked a spate of interest and VC investment in the separation of compute and storage and all that elastic resource stuff in the cloud. The company joined AWS, Azure and Google to popularize cloud databases, which have become a linchpin of competitive strategies for technology suppliers. And if I get you to put your data in my database and in my cloud, and I keep innovating, I'm going to build a moat and achieve a hugely attractive lifetime customer value in a really amazing marginal economics dynamic that is going to fund my future. And I'll be able to sell other adjacent services, not just compute and storage, but machine learning and inference and training and all kinds of stuff, dozens of lucrative cloud offerings. Meanwhile, the database leader, Oracle has invested massive amounts of money to maintain its lead. It's building on its position as the king of mission critical workloads and making typical Oracle like claims against the competition. Most were recently just yesterday with another announcement around MySQL HeatWave. An extension of MySQL that is compatible with on-premises MySQLs and is setting new standards in price performance. We're seeing a dramatic divergence in strategies across the database spectrum. On the far left, we see Amazon with more than a dozen database offerings each with its own API and primitives. AWS is taking a right tool for the right job approach, often building on open source platforms and creating services that it offers to customers to solve very specific problems for developers. And on the other side of the line, we see Oracle, which is taking the Swiss Army Knife approach, converging database functionality, enabling analytic and transactional workloads to run in the same data store, eliminating the need to ETL, at the same time adding capabilities into its platform like automation and machine learning. Welcome to this database Power Panel. My name is Dave Vellante, and I'm so excited to bring together some of the most respected industry analyst in the community. Today we're going to assess what's happening in the market. We're going to dig into the competitive landscape and explore the future of database and database platforms and decode what it means to customers. Let me take a moment to welcome our guest analyst today. Matt Kimball is a vice president and principal analysts at Moor Insights and Strategy, Matt. He knows products, he knows industry, he's got real world IT expertise, and he's got all the angles 25 plus years of experience in all kinds of great background. Matt, welcome. Thanks very much for coming on theCUBE. Holgar Mueller, friend of theCUBE, vice president and principal analyst at Constellation Research in depth knowledge on applications, application development, knows developers. He's worked at SAP and Oracle. And then Bob Evans is Chief Content Officer and co-founder of the Acceleration Economy, founder and principle of Cloud Wars. Covers all kinds of industry topics and great insights. He's got awesome videos, these three minute hits. If you haven't seen 'em, checking them out, knows cloud companies, his Cloud Wars minutes are fantastic. And then of course, Marc Staimer is the founder of Dragon Slayer Research. A frequent contributor and guest analyst at Wikibon. He's got a wide ranging knowledge across IT products, knows technology really well, can go deep. And then of course, Ron Westfall, Senior Analyst and Director Research Director at Futurum Research, great all around product trends knowledge. Can take, you know, technical dives and really understands competitive angles, knows Redshift, Snowflake, and many others. Gents, thanks so much for taking the time to join us in theCube today. It's great to have you on, good to see you. >> Good to be here, thanks for having us. >> Thanks, Dave. >> All right, let's start with an around the horn and briefly, if each of you would describe, you know, anything I missed in your areas of expertise and then you answer the following question, how would you describe the state of the database, state of platform market today? Matt Kimball, please start. >> Oh, I hate going first, but that it's okay. How would I describe the world today? I would just in one sentence, I would say, I'm glad I'm not in IT anymore, right? So, you know, it is a complex and dangerous world out there. And I don't envy IT folks I'd have to support, you know, these modernization and transformation efforts that are going on within the enterprise. It used to be, you mentioned it, Dave, you would argue about IBM versus Oracle versus this newcomer in the database space called Microsoft. And don't forget Sybase back in the day, but you know, now it's not just, which SQL vendor am I going to go with? It's all of these different, divergent data types that have to be taken, they have to be merged together, synthesized. And somehow I have to do that cleanly and use this to drive strategic decisions for my business. That is not easy. So, you know, you have to look at it from the perspective of the business user. It's great for them because as a DevOps person, or as an analyst, I have so much flexibility and I have this thing called the cloud now where I can go get services immediately. As an IT person or a DBA, I am calling up prevention hotlines 24 hours a day, because I don't know how I'm going to be able to support the business. And as an Oracle or as an Oracle or a Microsoft or some of the cloud providers and cloud databases out there, I'm licking my chops because, you know, my market is expanding and expanding every day. >> Great, thank you for that, Matt. Holgar, how do you see the world these days? You always have a good perspective on things, share with us. >> Well, I think it's the best time to be in IT, I'm not sure what Matt is talking about. (laughing) It's easier than ever, right? The direction is going to cloud. Kubernetes has won, Google has the best AI for now, right? So things are easier than ever before. You made commitments for five plus years on hardware, networking and so on premise, and I got gray hair about worrying it was the wrong decision. No, just kidding. But you kind of both sides, just to be controversial, make it interesting, right. So yeah, no, I think the interesting thing specifically with databases, right? We have this big suite versus best of breed, right? Obviously innovation, like you mentioned with Snowflake and others happening in the cloud, the cloud vendors server, where to save of their databases. And then we have one of the few survivors of the old guard as Evans likes to call them is Oracle who's doing well, both their traditional database. And now, which is really interesting, remarkable from that because Oracle it was always the power of one, have one database, add more to it, make it what I call the universal database. And now this new HeatWave offering is coming and MySQL open source side. So they're getting the second (indistinct) right? So it's interesting that older players, traditional players who still are in the market are diversifying their offerings. Something we don't see so much from the traditional tools from Oracle on the Microsoft side or the IBM side these days. >> Great, thank you Holgar. Bob Evans, you've covered this business for a while. You've worked at, you know, a number of different outlets and companies and you cover the competition, how do you see things? >> Dave, you know, the other angle to look at this from is from the customer side, right? You got now CEOs who are any sort of business across all sorts of industries, and they understand that their future success is going to be dependent on their ability to become a digital company, to understand data, to use it the right way. So as you outline Dave, I think in your intro there, it is a fantastic time to be in the database business. And I think we've got a lot of new buyers and influencers coming in. They don't know all this history about IBM and Microsoft and Oracle and you know, whoever else. So I think they're going to take a long, hard look, Dave, at some of these results and who is able to help these companies not serve up the best technology, but who's going to be able to help their business move into the digital future. So it's a fascinating time now from every perspective. >> Great points, Bob. I mean, digital transformation has gone from buzzword to imperative. Mr. Staimer, how do you see things? >> I see things a little bit differently than my peers here in that I see the database market being segmented. There's all the different kinds of databases that people are looking at for different kinds of data, and then there is databases in the cloud. And so database as cloud service, I view very differently than databases because the traditional way of implementing a database is changing and it's changing rapidly. So one of the premises that you stated earlier on was that you viewed Oracle as a database company. I don't view Oracle as a database company anymore. I view Oracle as a cloud company that happens to have a significant expertise and specialty in databases, and they still sell database software in the traditional way, but ultimately they're a cloud company. So database cloud services from my point of view is a very distinct market from databases. >> Okay, well, you gave us some good meat on the bone to talk about that. Last but not least-- >> Dave did Marc, just say Oracle's a cloud company? >> Yeah. (laughing) Take away the database, it would be interesting to have that discussion, but let's let Ron jump in here. Ron, give us your take. >> That's a great segue. I think it's truly the era of the cloud database, that's something that's rising. And the key trends that come with it include for example, elastic scaling. That is the ability to scale on demand, to right size workloads according to customer requirements. And also I think it's going to increase the prioritization for high availability. That is the player who can provide the highest availability is going to have, I think, a great deal of success in this emerging market. And also I anticipate that there will be more consolidation across platforms in order to enable cost savings for customers, and that's something that's always going to be important. And I think we'll see more of that over the horizon. And then finally security, security will be more important than ever. We've seen a spike (indistinct), we certainly have seen geopolitical originated cybersecurity concerns. And as a result, I see database security becoming all the more important. >> Great, thank you. Okay, let me share some data with you guys. I'm going to throw this at you and see what you think. We have this awesome data partner called Enterprise Technology Research, ETR. They do these quarterly surveys and each period with dozens of industry segments, they track clients spending, customer spending. And this is the database, data warehouse sector okay so it's taxonomy, so it's not perfect, but it's a big kind of chunk. They essentially ask customers within a category and buy a specific vendor, you're spending more or less on the platform? And then they subtract the lesses from the mores and they derive a metric called net score. It's like NPS, it's a measure of spending velocity. It's more complicated and granular than that, but that's the basis and that's the vertical axis. The horizontal axis is what they call market share, it's not like IDC market share, it's just pervasiveness in the data set. And so there are a couple of things that stand out here and that we can use as reference point. The first is the momentum of Snowflake. They've been off the charts for many, many, for over two years now, anything above that dotted red line, that 40%, is considered by ETR to be highly elevated and Snowflake's even way above that. And I think it's probably not sustainable. We're going to see in the next April survey, next month from those guys, when it comes out. And then you see AWS and Microsoft, they're really pervasive on the horizontal axis and highly elevated, Google falls behind them. And then you got a number of well funded players. You got Cockroach Labs, Mongo, Redis, MariaDB, which of course is a fork on MySQL started almost as protest at Oracle when they acquired Sun and they got MySQL and you can see the number of others. Now Oracle who's the leading database player, despite what Marc Staimer says, we know, (laughs) and they're a cloud player (laughing) who happens to be a leading database player. They dominate in the mission critical space, we know that they're the king of that sector, but you can see here that they're kind of legacy, right? They've been around a long time, they get a big install base. So they don't have the spending momentum on the vertical axis. Now remember this is, just really this doesn't capture spending levels, so that understates Oracle but nonetheless. So it's not a complete picture like SAP for instance is not in here, no Hana. I think people are actually buying it, but it doesn't show up here, (laughs) but it does give an indication of momentum and presence. So Bob Evans, I'm going to start with you. You've commented on many of these companies, you know, what does this data tell you? >> Yeah, you know, Dave, I think all these compilations of things like that are interesting, and that folks at ETR do some good work, but I think as you said, it's a snapshot sort of a two-dimensional thing of a rapidly changing, three dimensional world. You know, the incidents at which some of these companies are mentioned versus the volume that happens. I think it's, you know, with Oracle and I'm not going to declare my religious affiliation, either as cloud company or database company, you know, they're all of those things and more, and I think some of our old language of how we classify companies is just not relevant anymore. But I want to ask too something in here, the autonomous database from Oracle, nobody else has done that. So either Oracle is crazy, they've tried out a technology that nobody other than them is interested in, or they're onto something that nobody else can match. So to me, Dave, within Oracle, trying to identify how they're doing there, I would watch autonomous database growth too, because right, it's either going to be a big plan and it breaks through, or it's going to be caught behind. And the Snowflake phenomenon as you mentioned, that is a rare, rare bird who comes up and can grow 100% at a billion dollar revenue level like that. So now they've had a chance to come in, scare the crap out of everybody, rock the market with something totally new, the data cloud. Will the bigger companies be able to catch up and offer a compelling alternative, or is Snowflake going to continue to be this outlier. It's a fascinating time. >> Really, interesting points there. Holgar, I want to ask you, I mean, I've talked to certainly I'm sure you guys have too, the founders of Snowflake that came out of Oracle and they actually, they don't apologize. They say, "Hey, we not going to do all that complicated stuff that Oracle does, we were trying to keep it real simple." But at the same time, you know, they don't do sophisticated workload management. They don't do complex joints. They're kind of relying on the ecosystems. So when you look at the data like this and the various momentums, and we talked about the diverging strategies, what does this say to you? >> Well, it is a great point. And I think Snowflake is an example how the cloud can turbo charge a well understood concept in this case, the data warehouse, right? You move that and you find steroids and you see like for some players who've been big in data warehouse, like Sentara Data, as an example, here in San Diego, what could have been for them right in that part. The interesting thing, the problem though is the cloud hides a lot of complexity too, which you can scale really well as you attract lots of customers to go there. And you don't have to build things like what Bob said, right? One of the fascinating things, right, nobody's answering Oracle on the autonomous database. I don't think is that they cannot, they just have different priorities or the database is not such a priority. I would dare to say that it's for IBM and Microsoft right now at the moment. And the cloud vendors, you just hide that right through scripts and through scale because you support thousands of customers and you can deal with a little more complexity, right? It's not against them. Whereas if you have to run it yourself, very different story, right? You want to have the autonomous parts, you want to have the powerful tools to do things. >> Thank you. And so Matt, I want to go to you, you've set up front, you know, it's just complicated if you're in IT, it's a complicated situation and you've been on the customer side. And if you're a buyer, it's obviously, it's like Holgar said, "Cloud's supposed to make this stuff easier, but the simpler it gets the more complicated gets." So where do you place your bets? Or I guess more importantly, how do you decide where to place your bets? >> Yeah, it's a good question. And to what Bob and Holgar said, you know, the around autonomous database, I think, you know, part of, as I, you know, play kind of armchair psychologist, if you will, corporate psychologists, I look at what Oracle is doing and, you know, databases where they've made their mark and it's kind of, that's their strong position, right? So it makes sense if you're making an entry into this cloud and you really want to kind of build momentum, you go with what you're good at, right? So that's kind of the strength of Oracle. Let's put a lot of focus on that. They do a lot more than database, don't get me wrong, but you know, I'm going to short my strength and then kind of pivot from there. With regards to, you know, what IT looks at and what I would look at you know as an IT director or somebody who is, you know, trying to consume services from these different cloud providers. First and foremost, I go with what I know, right? Let's not forget IT is a conservative group. And when we look at, you know, all the different permutations of database types out there, SQL, NoSQL, all the different types of NoSQL, those are largely being deployed by business users that are looking for agility or businesses that are looking for agility. You know, the reason why MongoDB is so popular is because of DevOps, right? It's a great platform to develop on and that's where it kind of gained its traction. But as an IT person, I want to go with what I know, where my muscle memory is, and that's my first position. And so as I evaluate different cloud service providers and cloud databases, I look for, you know, what I know and what I've invested in and where my muscle memory is. Is there enough there and do I have enough belief that that company or that service is going to be able to take me to, you know, where I see my organization in five years from a data management perspective, from a business perspective, are they going to be there? And if they are, then I'm a little bit more willing to make that investment, but it is, you know, if I'm kind of going in this blind or if I'm cloud native, you know, that's where the Snowflakes of the world become very attractive to me. >> Thank you. So Marc, I asked Andy Jackson in theCube one time, you have all these, you know, data stores and different APIs and primitives and you know, very granular, what's the strategy there? And he said, "Hey, that allows us as the market changes, it allows us to be more flexible. If we start building abstractions layers, it's harder for us." I think also it was not a good time to market advantage, but let me ask you, I described earlier on that spectrum from AWS to Oracle. We just saw yesterday, Oracle announced, I think the third major enhancement in like 15 months to MySQL HeatWave, what do you make of that announcement? How do you think it impacts the competitive landscape, particularly as it relates to, you know, converging transaction and analytics, eliminating ELT, I know you have some thoughts on this. >> So let me back up for a second and defend my cloud statement about Oracle for a moment. (laughing) AWS did a great job in developing the cloud market in general and everything in the cloud market. I mean, I give them lots of kudos on that. And a lot of what they did is they took open source software and they rent it to people who use their cloud. So I give 'em lots of credit, they dominate the market. Oracle was late to the cloud market. In fact, they actually poo-pooed it initially, if you look at some of Larry Ellison's statements, they said, "Oh, it's never going to take off." And then they did 180 turn, and they said, "Oh, we're going to embrace the cloud." And they really have, but when you're late to a market, you've got to be compelling. And this ties into the announcement yesterday, but let's deal with this compelling. To be compelling from a user point of view, you got to be twice as fast, offer twice as much functionality, at half the cost. That's generally what compelling is that you're going to capture market share from the leaders who established the market. It's very difficult to capture market share in a new market for yourself. And you're right. I mean, Bob was correct on this and Holgar and Matt in which you look at Oracle, and they did a great job of leveraging their database to move into this market, give 'em lots of kudos for that too. But yesterday they announced, as you said, the third innovation release and the pace is just amazing of what they're doing on these releases on HeatWave that ties together initially MySQL with an integrated builtin analytics engine, so a data warehouse built in. And then they added automation with autopilot, and now they've added machine learning to it, and it's all in the same service. It's not something you can buy and put on your premise unless you buy their cloud customers stuff. But generally it's a cloud offering, so it's compellingly better as far as the integration. You don't buy multiple services, you buy one and it's lower cost than any of the other services, but more importantly, it's faster, which again, give 'em credit for, they have more integration of a product. They can tie things together in a way that nobody else does. There's no additional services, ETL services like Glue and AWS. So from that perspective, they're getting better performance, fewer services, lower cost. Hmm, they're aiming at the compelling side again. So from a customer point of view it's compelling. Matt, you wanted to say something there. >> Yeah, I want to kind of, on what you just said there Marc, and this is something I've found really interesting, you know. The traditional way that you look at software and, you know, purchasing software and IT is, you look at either best of breed solutions and you have to work on the backend to integrate them all and make them all work well. And generally, you know, the big hit against the, you know, we have one integrated offering is that, you lose capability or you lose depth of features, right. And to what you were saying, you know, that's the thing I found interesting about what Oracle is doing is they're building in depth as they kind of, you know, build that service. It's not like you're losing a lot of capabilities, because you're going to one integrated service versus having to use A versus B versus C, and I love that idea. >> You're right. Yeah, not only you're not losing, but you're gaining functionality that you can't get by integrating a lot of these. I mean, I can take Snowflake and integrate it in with machine learning, but I also have to integrate in with a transactional database. So I've got to have connectors between all of this, which means I'm adding time. And what it comes down to at the end of the day is expertise, effort, time, and cost. And so what I see the difference from the Oracle announcements is they're aiming at reducing all of that by increasing performance as well. Correct me if I'm wrong on that but that's what I saw at the announcement yesterday. >> You know, Marc, one thing though Marc, it's funny you say that because I started out saying, you know, I'm glad I'm not 19 anymore. And the reason is because of exactly what you said, it's almost like there's a pseudo level of witchcraft that's required to support the modern data environment right in the enterprise. And I need simpler faster, better. That's what I need, you know, I am no longer wearing pocket protectors. I have turned from, you know, break, fix kind of person, to you know, business consultant. And I need that point and click simplicity, but I can't sacrifice, you know, a depth of features of functionality on the backend as I play that consultancy role. >> So, Ron, I want to bring in Ron, you know, it's funny. So Matt, you mentioned Mongo, I often and say, if Oracle mentions you, you're on the map. We saw them yesterday Ron, (laughing) they hammered RedShifts auto ML, they took swipes at Snowflake, a little bit of BigQuery. What were your thoughts on that? Do you agree with what these guys are saying in terms of HeatWaves capabilities? >> Yes, Dave, I think that's an excellent question. And fundamentally I do agree. And the question is why, and I think it's important to know that all of the Oracle data is backed by the fact that they're using benchmarks. For example, all of the ML and all of the TPC benchmarks, including all the scripts, all the configs and all the detail are posted on GitHub. So anybody can look at these results and they're fully transparent and replicate themselves. If you don't agree with this data, then by all means challenge it. And we have not really seen that in all of the new updates in HeatWave over the last 15 months. And as a result, when it comes to these, you know, fundamentals in looking at the competitive landscape, which I think gives validity to outcomes such as Oracle being able to deliver 4.8 times better price performance than Redshift. As well as for example, 14.4 better price performance than Snowflake, and also 12.9 better price performance than BigQuery. And so that is, you know, looking at the quantitative side of things. But again, I think, you know, to Marc's point and to Matt's point, there are also qualitative aspects that clearly differentiate the Oracle proposition, from my perspective. For example now the MySQL HeatWave ML capabilities are native, they're built in, and they also support things such as completion criteria. And as a result, that enables them to show that hey, when you're using Redshift ML for example, you're having to also use their SageMaker tool and it's running on a meter. And so, you know, nobody really wants to be running on a meter when, you know, executing these incredibly complex tasks. And likewise, when it comes to Snowflake, they have to use a third party capability. They don't have the built in, it's not native. So the user, to the point that he's having to spend more time and it increases complexity to use auto ML capabilities across the Snowflake platform. And also, I think it also applies to other important features such as data sampling, for example, with the HeatWave ML, it's intelligent sampling that's being implemented. Whereas in contrast, we're seeing Redshift using random sampling. And again, Snowflake, you're having to use a third party library in order to achieve the same capabilities. So I think the differentiation is crystal clear. I think it definitely is refreshing. It's showing that this is where true value can be assigned. And if you don't agree with it, by all means challenge the data. >> Yeah, I want to come to the benchmarks in a minute. By the way, you know, the gentleman who's the Oracle's architect, he did a great job on the call yesterday explaining what you have to do. I thought that was quite impressive. But Bob, I know you follow the financials pretty closely and on the earnings call earlier this month, Ellison said that, "We're going to see HeatWave on AWS." And the skeptic in me said, oh, they must not be getting people to come to OCI. And then they, you remember this chart they showed yesterday that showed the growth of HeatWave on OCI. But of course there was no data on there, it was just sort of, you know, lines up and to the right. So what do you guys think of that? (Marc laughs) Does it signal Bob, desperation by Oracle that they can't get traction on OCI, or is it just really a smart tame expansion move? What do you think? >> Yeah, Dave, that's a great question. You know, along the way there, and you know, just inside of that was something that said Ellison said on earnings call that spoke to a different sort of philosophy or mindset, almost Marc, where he said, "We're going to make this multicloud," right? With a lot of their other cloud stuff, if you wanted to use any of Oracle's cloud software, you had to use Oracle's infrastructure, OCI, there was no other way out of it. But this one, but I thought it was a classic Ellison line. He said, "Well, we're making this available on AWS. We're making this available, you know, on Snowflake because we're going after those users. And once they see what can be done here." So he's looking at it, I guess you could say, it's a concession to customers because they want multi-cloud. The other way to look at it, it's a hunting expedition and it's one of those uniquely I think Oracle ways. He said up front, right, he doesn't say, "Well, there's a big market, there's a lot for everybody, we just want on our slice." Said, "No, we are going after Amazon, we're going after Redshift, we're going after Aurora. We're going after these users of Snowflake and so on." And I think it's really fairly refreshing these days to hear somebody say that, because now if I'm a buyer, I can look at that and say, you know, to Marc's point, "Do they measure up, do they crack that threshold ceiling? Or is this just going to be more pain than a few dollars savings is worth?" But you look at those numbers that Ron pointed out and that we all saw in that chart. I've never seen Dave, anything like that. In a substantive market, a new player coming in here, and being able to establish differences that are four, seven, eight, 10, 12 times better than competition. And as new buyers look at that, they're going to say, "What the hell are we doing paying, you know, five times more to get a poor result? What's going on here?" So I think this is going to rattle people and force a harder, closer look at what these alternatives are. >> I wonder if the guy, thank you. Let's just skip ahead of the benchmarks guys, bring up the next slide, let's skip ahead a little bit here, which talks to the benchmarks and the benchmarking if we can. You know, David Floyer, the sort of semiretired, you know, Wikibon analyst said, "Dave, this is going to force Amazon and others, Snowflake," he said, "To rethink actually how they architect databases." And this is kind of a compilation of some of the data that they shared. They went after Redshift mostly, (laughs) but also, you know, as I say, Snowflake, BigQuery. And, like I said, you can always tell which companies are doing well, 'cause Oracle will come after you, but they're on the radar here. (laughing) Holgar should we take this stuff seriously? I mean, or is it, you know, a grain salt? What are your thoughts here? >> I think you have to take it seriously. I mean, that's a great question, great point on that. Because like Ron said, "If there's a flaw in a benchmark, we know this database traditionally, right?" If anybody came up that, everybody will be, "Oh, you put the wrong benchmark, it wasn't audited right, let us do it again," and so on. We don't see this happening, right? So kudos to Oracle to be aggressive, differentiated, and seem to having impeccable benchmarks. But what we really see, I think in my view is that the classic and we can talk about this in 100 years, right? Is the suite versus best of breed, right? And the key question of the suite, because the suite's always slower, right? No matter at which level of the stack, you have the suite, then the best of breed that will come up with something new, use a cloud, put the data warehouse on steroids and so on. The important thing is that you have to assess as a buyer what is the speed of my suite vendor. And that's what you guys mentioned before as well, right? Marc said that and so on, "Like, this is a third release in one year of the HeatWave team, right?" So everybody in the database open source Marc, and there's so many MySQL spinoffs to certain point is put on shine on the speed of (indistinct) team, putting out fundamental changes. And the beauty of that is right, is so inherent to the Oracle value proposition. Larry's vision of building the IBM of the 21st century, right from the Silicon, from the chip all the way across the seven stacks to the click of the user. And that what makes the database what Rob was saying, "Tied to the OCI infrastructure," because designed for that, it runs uniquely better for that, that's why we see the cross connect to Microsoft. HeatWave so it's different, right? Because HeatWave runs on cheap hardware, right? Which is the breadth and butter 886 scale of any cloud provider, right? So Oracle probably needs it to scale OCI in a different category, not the expensive side, but also allow us to do what we said before, the multicloud capability, which ultimately CIOs really want, because data gravity is real, you want to operate where that is. If you have a fast, innovative offering, which gives you more functionality and the R and D speed is really impressive for the space, puts away bad results, then it's a good bet to look at. >> Yeah, so you're saying, that we versus best of breed. I just want to sort of play back then Marc a comment. That suite versus best of breed, there's always been that trade off. If I understand you Holgar you're saying that somehow Oracle has magically cut through that trade off and they're giving you the best of both. >> It's the developing velocity, right? The provision of important features, which matter to buyers of the suite vendor, eclipses the best of breed vendor, then the best of breed vendor is in the hell of a potential job. >> Yeah, go ahead Marc. >> Yeah and I want to add on what Holgar just said there. I mean the worst job in the data center is data movement, moving the data sucks. I don't care who you are, nobody likes it. You never get any kudos for doing it well, and you always get the ah craps, when things go wrong. So it's in- >> In the data center Marc all the time across data centers, across cloud. That's where the bleeding comes. >> It's right, you get beat up all the time. So nobody likes to move data, ever. So what you're looking at with what they announce with HeatWave and what I love about HeatWave is it doesn't matter when you started with it, you get all the additional features they announce it's part of the service, all the time. But they don't have to move any of the data. You want to analyze the data that's in your transactional, MySQL database, it's there. You want to do machine learning models, it's there, there's no data movement. The data movement is the key thing, and they just eliminate that, in so many ways. And the other thing I wanted to talk about is on the benchmarks. As great as those benchmarks are, they're really conservative 'cause they're underestimating the cost of that data movement. The ETLs, the other services, everything's left out. It's just comparing HeatWave, MySQL cloud service with HeatWave versus Redshift, not Redshift and Aurora and Glue, Redshift and Redshift ML and SageMaker, it's just Redshift. >> Yeah, so what you're saying is what Oracle's doing is saying, "Okay, we're going to run MySQL HeatWave benchmarks on analytics against Redshift, and then we're going to run 'em in transaction against Aurora." >> Right. >> But if you really had to look at what you would have to do with the ETL, you'd have to buy two different data stores and all the infrastructure around that, and that goes away so. >> Due to the nature of the competition, they're running narrow best of breed benchmarks. There is no suite level benchmark (Dave laughs) because they created something new. >> Well that's you're the earlier point they're beating best of breed with a suite. So that's, I guess to Floyer's earlier point, "That's going to shake things up." But I want to come back to Bob Evans, 'cause I want to tap your Cloud Wars mojo before we wrap. And line up the horses, you got AWS, you got Microsoft, Google and Oracle. Now they all own their own cloud. Snowflake, Mongo, Couchbase, Redis, Cockroach by the way they're all doing very well. They run in the cloud as do many others. I think you guys all saw the Andreessen, you know, commentary from Sarah Wang and company, to talk about the cost of goods sold impact of cloud. So owning your own cloud has to be an advantage because other guys like Snowflake have to pay cloud vendors and negotiate down versus having the whole enchilada, Safra Catz's dream. Bob, how do you think this is going to impact the market long term? >> Well, Dave, that's a great question about, you know, how this is all going to play out. If I could mention three things, one, Frank Slootman has done a fantastic job with Snowflake. Really good company before he got there, but since he's been there, the growth mindset, the discipline, the rigor and the phenomenon of what Snowflake has done has forced all these bigger companies to really accelerate what they're doing. And again, it's an example of how this intense competition makes all the different cloud vendors better and it provides enormous value to customers. Second thing I wanted to mention here was look at the Adam Selipsky effect at AWS, took over in the middle of May, and in Q2, Q3, Q4, AWS's growth rate accelerated. And in each of those three quotas, they grew faster than Microsoft's cloud, which has not happened in two or three years, so they're closing the gap on Microsoft. The third thing, Dave, in this, you know, incredibly intense competitive nature here, look at Larry Ellison, right? He's got his, you know, the product that for the last two or three years, he said, "It's going to help determine the future of the company, autonomous database." You would think he's the last person in the world who's going to bring in, you know, in some ways another database to think about there, but he has put, you know, his whole effort and energy behind this. The investments Oracle's made, he's riding this horse really hard. So it's not just a technology achievement, but it's also an investment priority for Oracle going forward. And I think it's going to form a lot of how they position themselves to this new breed of buyer with a new type of need and expectations from IT. So I just think the next two or three years are going to be fantastic for people who are lucky enough to get to do the sorts of things that we do. >> You know, it's a great point you made about AWS. Back in 2018 Q3, they were doing about 7.4 billion a quarter and they were growing in the mid forties. They dropped down to like 29% Q4, 2020, I'm looking at the data now. They popped back up last quarter, last reported quarter to 40%, that is 17.8 billion, so they more doubled and they accelerated their growth rate. (laughs) So maybe that pretends, people are concerned about Snowflake right now decelerating growth. You know, maybe that's going to be different. By the way, I think Snowflake has a different strategy, the whole data cloud thing, data sharing. They're not trying to necessarily take Oracle head on, which is going to make this next 10 years, really interesting. All right, we got to go, last question. 30 seconds or less, what can we expect from the future of data platforms? Matt, please start. >> I have to go first again? You're killing me, Dave. (laughing) In the next few years, I think you're going to see the major players continue to meet customers where they are, right. Every organization, every environment is, you know, kind of, we use these words bespoke in Snowflake, pardon the pun, but Snowflakes, right. But you know, they're all opinionated and unique and what's great as an IT person is, you know, there is a service for me regardless of where I am on my journey, in my data management journey. I think you're going to continue to see with regards specifically to Oracle, I think you're going to see the company continue along this path of being all things to all people, if you will, or all organizations without sacrificing, you know, kind of richness of features and sacrificing who they are, right. Look, they are the data kings, right? I mean, they've been a database leader for an awful long time. I don't see that going away any time soon and I love the innovative spirit they've brought in with HeatWave. >> All right, great thank you. Okay, 30 seconds, Holgar go. >> Yeah, I mean, the interesting thing that we see is really that trend to autonomous as Oracle calls or self-driving software, right? So the database will have to do more things than just store the data and support the DVA. It will have to show it can wide insights, the whole upside, it will be able to show to one machine learning. We haven't really talked about that. How in just exciting what kind of use case we can get of machine learning running real time on data as it changes, right? So, which is part of the E5 announcement, right? So we'll see more of that self-driving nature in the database space. And because you said we can promote it, right. Check out my report about HeatWave latest release where I post in oracle.com. >> Great, thank you for that. And Bob Evans, please. You're great at quick hits, hit us. >> Dave, thanks. I really enjoyed getting to hear everybody's opinion here today and I think what's going to happen too. I think there's a new generation of buyers, a new set of CXO influencers in here. And I think what Oracle's done with this, MySQL HeatWave, those benchmarks that Ron talked about so eloquently here that is going to become something that forces other companies, not just try to get incrementally better. I think we're going to see a massive new wave of innovation to try to play catch up. So I really take my hat off to Oracle's achievement from going to, push everybody to be better. >> Excellent. Marc Staimer, what do you say? >> Sure, I'm going to leverage off of something Matt said earlier, "Those companies that are going to develop faster, cheaper, simpler products that are going to solve customer problems, IT problems are the ones that are going to succeed, or the ones who are going to grow. The one who are just focused on the technology are going to fall by the wayside." So those who can solve more problems, do it more elegantly and do it for less money are going to do great. So Oracle's going down that path today, Snowflake's going down that path. They're trying to do more integration with third party, but as a result, aiming at that simpler, faster, cheaper mentality is where you're going to continue to see this market go. >> Amen brother Marc. >> Thank you, Ron Westfall, we'll give you the last word, bring us home. >> Well, thank you. And I'm loving it. I see a wave of innovation across the entire cloud database ecosystem and Oracle is fueling it. We are seeing it, with the native integration of auto ML capabilities, elastic scaling, lower entry price points, et cetera. And this is just going to be great news for buyers, but also developers and increased use of open APIs. And so I think that is really the key takeaways. Just we're going to see a lot of great innovation on the horizon here. >> Guys, fantastic insights, one of the best power panel as I've ever done. Love to have you back. Thanks so much for coming on today. >> Great job, Dave, thank you. >> All right, and thank you for watching. This is Dave Vellante for theCube and we'll see you next time. (soft music)
SUMMARY :
and co-founder of the and then you answer And don't forget Sybase back in the day, the world these days? and others happening in the cloud, and you cover the competition, and Oracle and you know, whoever else. Mr. Staimer, how do you see things? in that I see the database some good meat on the bone Take away the database, That is the ability to scale on demand, and they got MySQL and you I think it's, you know, and the various momentums, and Microsoft right now at the moment. So where do you place your bets? And to what Bob and Holgar said, you know, and you know, very granular, and everything in the cloud market. And to what you were saying, you know, functionality that you can't get to you know, business consultant. you know, it's funny. and all of the TPC benchmarks, By the way, you know, and you know, just inside of that was of some of the data that they shared. the stack, you have the suite, and they're giving you the best of both. of the suite vendor, and you always get the ah In the data center Marc all the time And the other thing I wanted to talk about and then we're going to run 'em and all the infrastructure around that, Due to the nature of the competition, I think you guys all saw the Andreessen, And I think it's going to form I'm looking at the data now. and I love the innovative All right, great thank you. and support the DVA. Great, thank you for that. And I think what Oracle's done Marc Staimer, what do you say? or the ones who are going to grow. we'll give you the last And this is just going to Love to have you back. and we'll see you next time.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
David Floyer | PERSON | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
Ron Westfall | PERSON | 0.99+ |
Dave | PERSON | 0.99+ |
Marc Staimer | PERSON | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Marc | PERSON | 0.99+ |
Ellison | PERSON | 0.99+ |
Bob Evans | PERSON | 0.99+ |
Oracle | ORGANIZATION | 0.99+ |
Matt | PERSON | 0.99+ |
Holgar Mueller | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Frank Slootman | PERSON | 0.99+ |
Ron | PERSON | 0.99+ |
Staimer | PERSON | 0.99+ |
Andy Jackson | PERSON | 0.99+ |
Bob | PERSON | 0.99+ |
Matt Kimball | PERSON | 0.99+ |
ORGANIZATION | 0.99+ | |
100% | QUANTITY | 0.99+ |
Sarah Wang | PERSON | 0.99+ |
San Diego | LOCATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Rob | PERSON | 0.99+ |
Clayton Coleman, Red Hat | KubeCon + CloudNative Con NA 2021
>>welcome back everyone to the cube con cloud, David Kahn coverage. I'm john for a host of the cube, we're here in person, 2020 20 a real event, it's a hybrid event, we're streaming live to you with all the great coverage and guests coming on next three days. Clayton Coleman's chief Hybrid cloud architect for Red Hat is joining me here to go over viewers talk but also talk about hybrid cloud. Multi cloud where it's all going road red hats doing great to see you thanks coming on. It's a pleasure to be >>back. It's a pleasure to be back in cuba con. >>Uh it's an honor to have you on as a chief architect at Red Hat on hybrid cloud. It is the hottest area in the market right now. The biggest story we were back in person. That's the biggest story here. The second biggest story, that's the most important story is hybrid cloud. And what does it mean for multi cloud, this is a key trend. You just gave a talk here. What's your take on it? You >>know, I, I like to summarize hybrid cloud as the answer to. It's really the summarization of yes please more of everything, which is, we don't have one of anything. Nobody has got any kind of real footprint is single cloud. They're not single framework, they're not single language, they're not single application server, they're not single container platform, they're not single VM technology. And so, um, and then, you know, looking around here in this, uh, partner space where eight years into kubernetes and there is an enormous ecosystem of tools, technologies, capabilities, add ons, plug ins components that make our applications better. Um the modern application landscape is so huge that I think that's what hybrid really is is it's we've got all these places to run stuff more than ever and we've got all this stuff to run more than ever and it doesn't slow down. So how do we bring sanity to that? How do we understand it? Bring it together and companies has been a big part of that, like it unlocked some of that. What's the next step? >>Yeah, that's a great, great commentary. I want to take into the kubernetes piece but you know, as we've been reporting the digital transformation at all time, high speed is the number one request. People want to go faster, not just speeds and feeds, but like ship code fast to build apps faster. Make it all run faster and secure. Okay, check, get that. Look what we were 15, 15 years ago, 10 years ago, five years ago, 2016. The first coupe con in Seattle we were there for small events kubernetes, we gotta sell it, figure it out. Right convince people >>that it's a it's worth >>it. Yeah. So what's your take on that? Well, I mean, it's mature, it's kind of de facto standard at this point. What's missing. Where is it? >>So I think Kubernetes has succeeded at the core mission which is helping us stop worrying about all the problems that we spent endless amounts of time arguing about, how do I deploy software, How do I roll it out? But in the meantime we've added more types of software. You know, the rise of ai ml um you know, the whole the whole ecosystem around training software models like what is a what is an Ai model? Is it look like an application, does it look like a job? It's part batch, part service. Um It's spread out to the edge. We've added mobile devices. The explosion in mobile computing over the last 10 years has co evolved. And so kubernetes succeeded at that kind of set a floor for what everybody thought was an application. And in the meantime we've added all these other parts of the application. >>It's funny, you know, David Anthony, we're talking about what's to minimum and networks at red hat will be on later. Back in the first two cubicles were like, you know, this is like a TCP I P moment, the Os I model that was a killer part of the stack. Now it was all standardized below TCP I. P. Company feels like a similar kind of construct where it's unifying, is creating some enablement, It's enabling some innovation and it kind of brought everyone together at the same time everyone realized that that's real, >>the whole >>cloud native is real. And now we're in an era now where people are talking about doing things that are completely different. You mentioned as a batch job house ai new software paradigm development paradigms, not to suffer during the lifecycle, but just like software development in general is impacted. >>Absolutely. And you know, the components like, you know, we spent a lot of time talking about how to test and build application, but those are things that we all kind of internalized now we we have seen the processes is critical because it's going to be in lots of places, people are looking to standardize. But sometimes the new technology comes up alongside the side, the thing we're trying to standardize, we're like, well let's just use the new technology instead function as a service is kind of uh it came up, you know, kubernetes group K Native. And then you see, you know, the proliferation of functions as a service choices, what do people use? So there's a lot of choice and we're all building on those common layers, but everybody kind of has their own opinions, everybody's doing something subtly different. >>Let me ask you your opinion on on more under the Hood kind of complexity challenge. There's general consensus in the industry that does a lot of complexity. Okay, you don't mean debate that, but that's in a way, a good thing in the sense if you solve that, that's where innovation comes in. So the goal is to solve complexity, abstract out of the heavy lifting under heavy living in Sandy Jackson. And I would say, or abstract away complexity make things easier to use >>Well and an open source and this ecosystem is an amazing um it's one of the most effective methods we've ever found for trying every possible solution and keeping the five or six most successful and that's a little bit like developers, developers flow downhill, developers are going to do, it's easy if it's easier to put a credit card in and go to the public cloud, you're gonna do it if you can take control away from the teams at your organization that are there to protect you, but maybe aren't as responsive as you like. People will, people will go around those. And so I think a little bit of what we're trying to do is what are the commonalities that we could pick out of this ecosystem that everybody agrees on and make those the downhill path that people follow, not putting a credit card into a cloud, but offering a way for you not to think about what clouds are on until you need to write, because you want to go to the fridge is a developer, you wanna go the fridge, pull out your favorite brand of soda, that favorite band Isoda might have an AWS label also >>talk about the open shift and the Kubernetes relationship, you guys push the boundaries. Um Den is being controlled playing and nodes, these are things that you talked about in your talk, talk about because you guys made some good bets on open shift, we've been covering that, how's that playing out now? It's a relationship now >>is interesting coming into kubernetes, we came in from the platform as a service angle, right, Platform as a service was the first iteration of trying to make the lowest cost path for developers to flow to business value um and so we added things on top of kubernetes, we knew that we were going to complex, so we built in a little bit um in our structure and our way of thinking about cube that it was never going to be just that basic bare bones package that you're gonna have to make choices for people that made sense. Ah obviously as the ecosystems grown, we've tried to grow with it, we've tried to be a layer above kubernetes, we've tried to be a layer in between kubernetes, we've tried to be a layer underneath kubernetes and all of these are valid places to be. Um I think that next step is we're all kind of asking, you know, we've got all this stuff, are there any ways that we can be more efficient? So I like to think about practical benefits, what is a practical benefit That a little bit of opinion nation could bring to this ecosystem and I think it's around applications, it's being application centric, it's what is a team, 90% of the time need to be successful, they need a way to get their code out, they need to get it to the places that they wanted to be, and that place is everywhere. It's not one cloud or on premises or a data center, it's the edge, it's running as a lambda. It's running inside devices that might be being designed in this very room today. >>It's interesting. You know, you're an architect, but also the computer science industry is the people who were trained in the area are learning. It's pretty fascinating and almost intoxicating right now in this this market because you have an operating system, dynamic systems kind of programming model with distributed cloud, edge on fire, that's only gonna get more complicated with 5G and high density data applications. Um and then you've got this changing modal mode of operations were programming with bots and Ai and machine learning to new things, but it's kind of the same distributed computing paradigm. Yeah. What's your reaction to that? >>Well, and it's it's interesting. I was kind of described like layers. We've gone from Lenox replaced proprietary UNIX or mainframe to virtualization, which, and then we had a lot of Lennox, we had some windows too. And then we moved to public cloud and private cloud. We brought config management and moved to kubernetes, um we still got that. Os at the heart of what we do. We've got, uh application libraries and we've shared services and common services. I think it's interesting like to learn from Lennox's lesson, which is we want to build an open expansive ecosystem, You're kind of like kind of like what's going on. We want to pick enough opinion nation that it just works because I think just works is what, let's be honest, like we could come up with all the great theories of what the right way computers should be done, but it's gonna be what's easy, what gets people help them get their jobs done, trying to time to take that from where people are today on cube in cloud, on multiple clouds, give them just a little bit more consolidation. And I think it's a trick people or convince people by showing them how much easier it could be. >>You know, what's interesting around um, what you guys have done a red hat is that you guys have real customers are demanding, you have enterprise customers. So you have your eye on the front edge of the, of the bleeding edge, making things easier. And I think that's good enough is a good angle, but let's, let's face it, people are just lifting and shifting to the cloud now. They haven't yet re factored and re factoring is a concept of taking what you're doing in the cloud of taking advantage of new services to change the operating dynamic and value proposition of say the application. So the smart money is all going there, seeing the funding come into applications that are leveraging the new platform? Re platform and then re factoring what's your take on that because you got the edge, you have other things happening. >>There are so many more types of applications today. And it's interesting because almost all of them start with real practical problems that enterprises or growing tech companies or companies that aren't tech companies but have a very strong tech component. Right? That's the biggest transformation the last 15 years is that you can be a tech company without ever calling yourself a tech company because you have a website and you have an upset and your entire business model flows like that. So there is, I think pragmatically people are, they're okay with their footprint where it is. They're looking to consolidate their very interested in taking advantage of the scale that modern cloud offers them and they're trying to figure out how to bring all the advantages that they have in these modern technologies to these new footprints and these new form factors that they're trying to fit into, whether that's an application running on the edge next to their load bouncer in a gateway, in telco five Gs happening right now. Red hat's been really heavily involved in a telco ecosystem and it's kubernetes through and through its building on those kinds of principles. What are the concepts that help make a hybrid application, an application that spans the data flowing from a device back to the cloud, out to a Gateway processed by a big data system in a private region, someplace where computers cheap can't >>be asylum? No, absolutely not has to be distributed non siloed based >>and how do we do that and keep security? How do we help you track where your data is and who's talking to whom? Um there's a lot of, there's a lot of people here today who are helping people connect. I think that next step that contact connectivity, the knowing who's talking and how they're connecting, that'll be a fundamental part of what emerges as >>that's why I think the observe ability to me is the data is really about a data funding a new data sector of the market that's going to be addressable. I think data address ability is critical. Clayton really appreciate you coming on. And giving a perspective an expert in the field. I gotta ask you, you know, I gotta say from a personal standpoint how open source has truly been a real enabler. You look at how fast new things could come in and be adopted and vetted and things get kicked around people try stuff that fails, but it's they they build on each other. Right? So a I for example, it's just a great example of look at what machine learning and AI is going on, how fast that's been adopted. Absolutely. I don't think that would be done in open source. I have to ask you guys at red hat as you continue your mission and with IBM with that partnership, how do you see people participating with you guys? You're here, you're part of the ecosystem, big player, how you guys continue to work with the community? Take a minute to share what you're working on. >>So uh first off, it's impossible to get anything done I think in this ecosystem without being open first. Um and that's something the red at and IBM are both committed to. A lot of what I try to do is I try to map from the very complex problems that people bring to us because every problem in applications is complex at some later and you've got to have the expertise but there's so much expertise. So you got to be able to blend the experts in a particular technology, the experts in a particular problem domain like the folks who consult or contract or helped design some of these architectures or have that experience at large companies and then move on to advise others and how to proceed. And then you have to be able to take those lessons put them in technology and the technology has to go back and take that feedback. I would say my primary goal is to come to these sorts of events and to share what everyone is facing because if we as a group aren't all working at some level, there won't be the ability of those organizations to react because none of us know the whole stack, none of us know the whole set of details >>And this text changing too. I mean you got to get a reference to a side while it's more than 80s metaphor. But you know, but that changed the game on proprietary and that was like >>getting it allows us to think and to separate. You know, you want to have nice thin layers that the world on top doesn't worry about below except when you need to and below program you can make things more efficient and public cloud, open source kubernetes and the proliferation of applications on top That's happening today. I >>mean Palmer gets used to talk about the hardened top when he was the VM ware Ceo Back in 2010. Remember him saying that he says she predicted >>the whole, we >>call it the mainframe in the cloud at the time because it was a funny thing to say, but it was really a computer. I mean essentially distributed nature of the cloud. It happened. Absolutely. Clayton, thanks for coming on the Cuban sharing your insights appreciate. It was a pleasure. Thank you. Right click here on the Cuban john furry. You're here live in L A for coupon cloud native in person. It's a hybrid event was streaming Also going to the cube platform as well. Check us out there all the interviews. Three days of coverage, we'll be right back Yeah. Mm mm mm I have
SUMMARY :
I'm john for a host of the cube, we're here in person, It's a pleasure to be back in cuba con. Uh it's an honor to have you on as a chief architect at Red Hat on hybrid cloud. And so, um, and then, you know, looking around here in this, I want to take into the kubernetes piece but you know, as we've been reporting the digital transformation Well, I mean, it's mature, it's kind of de facto standard at this point. And in the meantime we've added all these other parts of the application. Back in the first two cubicles were like, you know, this is like a TCP I P moment, the Os I model that development paradigms, not to suffer during the lifecycle, but just like software development in general And you know, the components like, you know, we spent a lot of time talking about So the goal is to solve complexity, abstract out of the heavy lifting to think about what clouds are on until you need to write, because you want to go to the fridge is a developer, you wanna go the fridge, talk about the open shift and the Kubernetes relationship, you guys push the boundaries. Um I think that next step is we're all kind of asking, you know, we've got all this stuff, you have an operating system, dynamic systems kind of programming model with distributed cloud, and moved to kubernetes, um we still got that. You know, what's interesting around um, what you guys have done a red hat is that you guys have real customers are demanding, you have an upset and your entire business model flows like that. How do we help you track where your data is and who's talking to whom? I have to ask you guys at red hat as And then you have to be able to take those lessons put I mean you got to get a reference to a side while it's more than 80s metaphor. that the world on top doesn't worry about below except when you need to and below program you can make Remember him saying that he says she predicted I mean essentially distributed nature of the cloud.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
five | QUANTITY | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
David Kahn | PERSON | 0.99+ |
David Anthony | PERSON | 0.99+ |
Clayton | PERSON | 0.99+ |
Red Hat | ORGANIZATION | 0.99+ |
2010 | DATE | 0.99+ |
Red Hat | ORGANIZATION | 0.99+ |
Seattle | LOCATION | 0.99+ |
Lenox | ORGANIZATION | 0.99+ |
six | QUANTITY | 0.99+ |
Clayton Coleman | PERSON | 0.99+ |
90% | QUANTITY | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
eight years | QUANTITY | 0.99+ |
K Native | ORGANIZATION | 0.99+ |
five years ago | DATE | 0.99+ |
Lennox | ORGANIZATION | 0.99+ |
Palmer | PERSON | 0.99+ |
first | QUANTITY | 0.99+ |
today | DATE | 0.99+ |
KubeCon | EVENT | 0.99+ |
telco | ORGANIZATION | 0.99+ |
10 years ago | DATE | 0.98+ |
Sandy Jackson | PERSON | 0.98+ |
Three days | QUANTITY | 0.98+ |
first two cubicles | QUANTITY | 0.98+ |
UNIX | TITLE | 0.98+ |
one | QUANTITY | 0.98+ |
Isoda | ORGANIZATION | 0.97+ |
red hats | ORGANIZATION | 0.97+ |
five Gs | COMMERCIAL_ITEM | 0.97+ |
both | QUANTITY | 0.97+ |
red | ORGANIZATION | 0.96+ |
CloudNative Con | EVENT | 0.96+ |
more than 80s | QUANTITY | 0.96+ |
2016 | DATE | 0.95+ |
john | PERSON | 0.95+ |
Cuban | OTHER | 0.94+ |
15 years ago | DATE | 0.93+ |
first iteration | QUANTITY | 0.92+ |
15 | DATE | 0.91+ |
single language | QUANTITY | 0.88+ |
single cloud | QUANTITY | 0.85+ |
Kubernetes | ORGANIZATION | 0.84+ |
last 15 years | DATE | 0.84+ |
one cloud | QUANTITY | 0.83+ |
NA 2021 | EVENT | 0.82+ |
last 10 years | DATE | 0.81+ |
TCP I. P. | ORGANIZATION | 0.8+ |
single | QUANTITY | 0.78+ |
second biggest story | QUANTITY | 0.73+ |
single framework | QUANTITY | 0.7+ |
Ceo | COMMERCIAL_ITEM | 0.7+ |
john furry | PERSON | 0.69+ |
Hood | PERSON | 0.68+ |
lot of people | QUANTITY | 0.67+ |
red hat | ORGANIZATION | 0.66+ |
hat | ORGANIZATION | 0.66+ |
2020 20 | DATE | 0.59+ |
cuba | EVENT | 0.59+ |
one request | QUANTITY | 0.58+ |
three | QUANTITY | 0.57+ |
days | DATE | 0.52+ |
coupe | EVENT | 0.45+ |
5G | OTHER | 0.44+ |
Den | PERSON | 0.41+ |
con. | LOCATION | 0.4+ |
con | EVENT | 0.37+ |
cube | ORGANIZATION | 0.34+ |
Constance Thompson, ACORE & Blair Anderson, AWS | AWS Summit DC 2021
>>mhm. Here live in Washington D. C. For two days of wall to wall coverage. I'm john for your host of the cube. Got two great guests here, constant Thompson V. P. Of diversity equity inclusion program at a core american council of renewable energy and Blair Anderson, director of public policy industries at AWS. Thanks for coming on the cube. Thanks for having us. So first of all, big announcement on stage max Peterson, head of public sector announced some big news with a core. Tell us what it >>is. Well we are going to be partnered with amazon to do a supply chain study on how we can best diversify the renewable energy supply chain. So we're actually gonna have baseline data on where we should start to be able to create a program that's going to be a model for the renewable energy industry on how to develop and support the success of black women and bipac owned um firms. So >>this program that you're running accelerate accelerate your programs and membership tell more has it worked? And why the successes having, what is amazon's relationship with it Besides funding? Is there other things you can talk about? >>Yeah. So accelerate wouldn't have been possible if it wasn't for people like Shannon Kellogg with a W. S. Um who about a year ago after the George Floyd murders said, you know, what are we doing as a core? He sits on our board um in this area and we had to say nothing. So um Shannon. And a group of leaders got together and workshop this idea. Let's create a membership program for women and minority owned businesses so that they can be successful in renewable energy. Let's pick a cohort and let's do whether it takes to make them successful. Everything from introducing them to business connects, to mentoring them to even legal services for them. >>Well, yeah, this is like an interesting dynamic. Remember Andy Jassy was on stage when he was the ceo of a W S a year ago, I kind of was preaching, you hate that, I said that word, but preaching to the audience build, build, build, there's an entrepreneurship, public sector vibe going on right now, very entrepreneurial across every industry. I mean, this is a real thing that's going on. >>Yeah, so we're super excited about this opportunity, the work that core has done to lead on this program for the last year, especially with Constance coming in, becoming the leader has kind of been able to take this idea that she mentioned that AWS was kind of a founding member at the genesis of it about a year ago. She's taking this idea that many of these folks put on paper And been able to turn it into a really hard substantive efforts to move it forward. So we've been able to have great conversations with many of these 15 companies that have been brought into the program and start building a relationship with them. I think, as you have seen around a WS like we believe strongly in innovation and creativity. the renewable energy industry is very similarly there is a lot of kind of thinking big and innovative spirit that needs to take place in that space and having the diversity at all levels of these companies is kind of an important component to be able to move that entrepreneurship forward. >>You know, cost is one of the things that we've been reporting on until getting on the cube is right in the wheelhouse of what you're doing is a cultural change happening. And that cultural change with amazon and cloud computing is causing structural changes which are opportunities like radical structural changes. So that means old incumbent, the old guard as you guys call it, this can be replaced not because people hate them because they're inadequate. So you start to see this kind of mindset shift, entrepreneurial, impact oriented I can make a change but actually I can level up pretty quick because the people in charge don't know cloud, I mean I hate to put it bluntly like that, but if you're not on that edge, if you're not not on that wave, your driftwood. >>Yeah. You know it's funny you say that I like to call it, our members are making systemic disruptions to the system in a very equitable way, meaning our members are in communities like Chicago Jackson Tennessee there in the north end of texas, they are in um everywhere and they're in the communities, making these systemic disruptions to the way things happen, the way we talk about renewable energy to the way we deploy solar, they're making those kind of changes. So to your point they're doing it, we have to catch up to them because they're already out there, they're moving their entrepreneurial, >>it's like, it's like there's a class of entrepreneurship and evolving and it's like everyone's got the pedigree, this or that knowledge is knowledge and you can apply it in software, you could be shrink wrapped software you put on the shelves called shelf where no successful inventory, give it back cloud computing. If you're not successful. Like right now it's not working. So if you don't have results, no one bought it, it must not work. So it's easy to identify what's working. Yes, so that eliminates a lot of dogma, a lot of weird blocking. It's true, this is a democratization of >>absolutely, I think you're talking about transparency and transparency is one of the tenets of inclusion. If you're truly doing things to be inclusive, transparent and that's where you see the changes, that's exactly what you're talking >>about data driven. That's one thing I love about this data world data is now part of like how apps are built, it's not like a database, then you go fetch a file data is now transparently available. If you know what to look for it if it's available. So the whole old silo mentality, this is one of the amazon strength blair you guys are doing. So I have to ask how is this translating out in the public policy world because you know, when you can make this kind of change quicker, you're gonna have some wins under your belt. Yeah, you gotta double down on those. I >>think, I think there's a lot of transformation we're talking about in this conversation. You take kind of one of the missions we're talking about here, which is around clean energy and the expansion of clean energy, Aws and Amazon. We have procured 10 gigawatts of renewable power and making us the largest corporate procure globally, to kind of put that in maybe a little bit more approachable context, that's the equivalent of powering 2.5 million homes. Um and there's still farther to go to be able to meet that kind of think big that is happening in the industry right now, you have to have a broad, diverse industry to be able to reach all those communities to be, have kind of all types of different leaders in it, because we need everybody at the table both for the industry, but also for the communities that are being served. >>What does sustainability mean to you? Because this is a core focus, I know the energy things huge, but it's not obvious to some people, but it's getting better. What are the what's the core 10ets behind the sustainability strategy? >>Yeah, no, I think there's a lot of different ways you can take a stab at that for us. It's uh probably most uh out there in the public that people talk about is our climate pledge. This is kind of a um goal that we've set to be uh net zero carbon by 2040 which is 10, 10 years ahead of the paris Climate change within that. There are components of that that are related to electric vehicles, clean energy, renewable energy procurement, carbon offset programs around the world. I think throughout all of that is kind of coming back to, as you said, with sustainability and approaching climate change as a as an issue that needs a comprehensive holistic approach to talk >>about some of the stories and the members that you have because is the recruiting strategy climate change? Or is there another like how do you because renewable energy could be a no brainer, but how to get people excited? Like save the world. What's the what's the what's the, what are people aligning with then? What's their reaction? So, >>You know, it's very simply the way we see with our members, most of our members, 87% of them are in the solar area. Many of them when we talk about sustainability, how can people live their lives in a way where they save money on their energy bills? How can communities understand how they can harness their own renewable energy, make a little money from that, but also live their lives in a very peaceful, sustainable, peaceful, sustainable way. Right, so that's part of it as an example, a couple of examples is that we have um 548 capital is a member company. And keep in mind that these are early startup companies. 5 48 capital is in Chicago and their models started off with we want all homes in our communities and these are places in the hood, some of them um son text works with people, it works with spanish speaking customers solely in texas where they explain to them the benefits of renewable energy. They explain the benefits of a sustainability and what it is. I mean that's so that's kind of what we're looking >>at here is just kind of show up and just kind of telling the truth >>exactly and show them the benefits that they've kind of not been leading on. Actually. The other thing is that this is about economics. So this renewable energy movement that we're going through is about economics. It is a it's our next wave of being able to ensure americans are able to live lives in a in a way that's meaningful economic. >>Well you've got visibility on the unit economics event good energy. There's also a community angle. >>Yes, absolutely. >>About some of those stories around the community response to this idea, wow this actually is gettable. Yeah, we >>solar is one of our members and it's owned by the first female community solar own company out of. She's out of Baltimore but she has a solar farm here in D. C. And what she did was was engaged churches in how can you get involved in this renewable energy movement? How can you save money? How can you create a community around around this work? We sold as an example of that um son text, I have to mention them again. They speak with they work with only spanish speaking customers who had no clue about this and who are now making having their lives live better because of it, >>you know, affecting change is hard now you've got a tailwind with structural change in systemic opportunities there. What are the blockers? What are the blockers right now? Is an awareness, is it participation community? >>I'm sorry, it's your show and I've >>interrupted, you know, >>we talk about entrepreneurs in the space, particularly women and those from bipod communities. The first thing that you'll hear is they'll say we don't have access to capital people. The terms around getting capital to start up are tough and their barriers there's so that's one the second is awareness and that's awareness of introducing them to companies that might want to do business with them. So that's something that's a benefit for a core occurs. Members are all people who touch every renewable energy transaction from the finances to the developers to the to the buyers. So this is what makes it unique. So what we're doing with accelerate is breaking down the barriers of access to capital by introducing them to people who can potentially support their work but also introducing them to companies that can help them be a part of their supply chain, which is why the study that max announced is amazing because we're going to be able to have baseline data on what, what are the demographics of the supply chain in the renewable energy and what can we do about it? And we're gonna scale accelerate to be a model for the industry >>and that's the transparency angle. Get the baseline, understand this is classic Amazonian thinking, get the baseline, raise the bar, >>you can see why you get >>so OK, so a lot of great stories, how do people get involved? Obviously amazon is taking the lead leadership role here. What can people do to get involved? >>So if you want to support the program as amazon is a corn dot org accelerate or Thompson at a core dot org. That's my email address. If you'd like to become a member company and accelerate program will be opening up applications towards the latter part of this year november december again a core dot org slash accelerate >>renewable energy. What's the coolest thing you've seen so far in your programme around neutral energy um, could be story, it could be people story could be tech story. What's the coolest thing you've seen spot there? Yeah, you really did. You >>know, I think we have a company called clear look, that's a member there out of Jackson Tennessee and they're actually working with retailers are renewable energy credits to create, to create renewable energy farms in their area. And I, what I think is so cool is that she's disrupting the way that you go about using renewable energy credits. Clear loop dot org. Look them >>up in the new york times. Had a story. I'm just reading California other areas. We have a high density of electric vehicles, it's training the power grid. So this idea of coming in, come back is what it's not sure yet. It's not, this is kind of where it's going. So okay, what's the cool thing you've seen? >>No, for me, I've just enjoyed kind of, I've enjoyed the journey. I think the moment for me where I could see that this was real and this was going to be a impactful program constants organized. It's called a speed dating, a virtual speed dating for us with about eight different companies and it was fascinating to get on, spend some time being able to interact with eight different companies. Um, who we probably would not have ever had kind of introduction to before in the past either. They didn't know how to get in touch with us. We didn't know how to get in touch with them and it kind of opens your eyes to all the different ways. People are approaching this problem and starts the executives who I had in these colors. You can see their wheels spinning the ideas sparking of oh there's some cool ideas here. There's something new that we could do. We should explore further. Nothing I can announce at the moment but lots of lots of good uh I'm >>sure the baseline max got baseline studies. I'm sure there will be a lot of doubling down opportunities on success or not success because you want to have the data, you know what to work on. Its true cause a great mission. I'm really impressed. Congratulations. Thank you announcement and love the programme. Thank you. Take a minute to give a plug anyone or public >>thanks Shannon Kellogg. Shannon was really behind it. He's a member of our board represents a W. S. And was really behind, we gotta do something. It's got to be unique and it's got to be something intentional. And here we are today I want to give a >>great opportunity. Thanks for coming in, appreciate it. Thank you for having more cube coverage here from Washington D. C. Amazon web services, public Sector summit. An event in person where people are face to face. This is great stuff is the cube right back after this short break. Mhm. Mhm. Mhm
SUMMARY :
Thanks for coming on the cube. how to develop and support the success of black women and bipac owned um firms. S. Um who about a year ago after the George Floyd murders said, you know, what are we doing as a core? I kind of was preaching, you hate that, I said that word, but preaching to the audience build, becoming the leader has kind of been able to take this idea that she mentioned that AWS the old guard as you guys call it, this can be replaced not because people So to your point they're doing it, we have to catch up to them because they're already out there, everyone's got the pedigree, this or that knowledge is knowledge and you can apply absolutely, I think you're talking about transparency and transparency is one of the tenets of inclusion. So I have to ask how is this translating out in the public policy world because you know, kind of one of the missions we're talking about here, which is around clean energy and the expansion of clean energy, but it's not obvious to some people, but it's getting better. There are components of that that are related to about some of the stories and the members that you have because is the recruiting strategy climate a couple of examples is that we have um 548 capital is a member company. able to ensure americans are able to live lives in a in a way that's meaningful economic. Well you've got visibility on the unit economics event good energy. About some of those stories around the community response to this idea, wow this actually is gettable. How can you create a community around around this work? What are the blockers right now? the to the buyers. and that's the transparency angle. What can people do to get involved? So if you want to support the program as amazon is a corn dot org accelerate or Thompson What's the coolest thing you've seen so far in your programme around neutral energy um, disrupting the way that you go about using renewable energy credits. So this idea of coming in, come back is what it's not sure yet. We didn't know how to get in touch with them and it Take a minute to give a plug anyone It's got to be unique and it's got to be something intentional. This is great stuff is the cube right back after this short break.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
amazon | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Shannon | PERSON | 0.99+ |
Andy Jassy | PERSON | 0.99+ |
Baltimore | LOCATION | 0.99+ |
Chicago | LOCATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
texas | LOCATION | 0.99+ |
Washington D. C. | LOCATION | 0.99+ |
Shannon Kellogg | PERSON | 0.99+ |
Blair Anderson | PERSON | 0.99+ |
Constance Thompson | PERSON | 0.99+ |
Jackson Tennessee | LOCATION | 0.99+ |
15 companies | QUANTITY | 0.99+ |
D. C. | LOCATION | 0.99+ |
California | LOCATION | 0.99+ |
10 gigawatts | QUANTITY | 0.99+ |
one | QUANTITY | 0.99+ |
2040 | DATE | 0.99+ |
today | DATE | 0.99+ |
last year | DATE | 0.99+ |
87% | QUANTITY | 0.99+ |
new york | LOCATION | 0.99+ |
two days | QUANTITY | 0.99+ |
both | QUANTITY | 0.99+ |
second | QUANTITY | 0.99+ |
a year ago | DATE | 0.99+ |
2.5 million homes | QUANTITY | 0.99+ |
eight different companies | QUANTITY | 0.98+ |
clear look | ORGANIZATION | 0.97+ |
Chicago Jackson Tennessee | LOCATION | 0.97+ |
10, 10 years | QUANTITY | 0.97+ |
spanish | OTHER | 0.97+ |
two great guests | QUANTITY | 0.95+ |
WS | ORGANIZATION | 0.95+ |
john | PERSON | 0.95+ |
DC 2021 | LOCATION | 0.92+ |
first thing | QUANTITY | 0.92+ |
november december | DATE | 0.92+ |
Constance | PERSON | 0.91+ |
about eight different companies | QUANTITY | 0.88+ |
americans | PERSON | 0.88+ |
about a year ago | DATE | 0.88+ |
one thing | QUANTITY | 0.87+ |
ACORE | PERSON | 0.87+ |
Aws | ORGANIZATION | 0.85+ |
AWS Summit | EVENT | 0.84+ |
Thompson | ORGANIZATION | 0.84+ |
max Peterson | PERSON | 0.82+ |
this year | DATE | 0.8+ |
zero carbon | QUANTITY | 0.77+ |
about | DATE | 0.77+ |
W. S. Um | ORGANIZATION | 0.74+ |
Thompson V. P. | PERSON | 0.73+ |
couple | QUANTITY | 0.72+ |
first | QUANTITY | 0.71+ |
George Floyd | PERSON | 0.71+ |
10ets | QUANTITY | 0.7+ |
wave | EVENT | 0.69+ |
first female | QUANTITY | 0.69+ |
american council of renewable energy | ORGANIZATION | 0.69+ |
548 | QUANTITY | 0.65+ |
north | LOCATION | 0.59+ |
W. S. | ORGANIZATION | 0.58+ |
bipac | QUANTITY | 0.56+ |
48 capital | ORGANIZATION | 0.56+ |
paris | LOCATION | 0.51+ |
capital | ORGANIZATION | 0.48+ |
stage | ORGANIZATION | 0.47+ |
tenets | QUANTITY | 0.39+ |
5 | ORGANIZATION | 0.32+ |
Day Three Intro
(soft upbeat music) >> TheCUBE's back on day three here in Cloud City, Mobile World Congress. This is where all the action is and this is theCUBE's set, I'm John with Dave Vellante. We're here with DR, Danielle Royston, who is the CEO of TelcoDR, as well as the CEO of Totogi. Great to see you again. >> Hey. >> Hey, how are you guys? >> Good >> Great time, great booth last night, good industry executives. A lot of intimate high player, big players here in the industry, even though not a lot of attendance, but the right people are here and events are back. >> Yeah. I think, MWC was the first event to cancel with COVID in end of February 2020. So first big event to come back, it's such a nice symmetry. Typically you have big delegations, hundreds of people from the big groups coming to the show. We're seeing the executives are coming, smaller delegations, but they're all in the booth and that we're having great conversations and it's awesome. >> Yeah. And the thing I will say is that theCUBE's back too we'd like them to be in here in the action, because one of the things that's happened with this hybrid events is that people are watching. And so there's a virtual space and the physical space, and Cloud City has built out paradise, it's beautiful and spectacular behind us. If you look around for the people who can't see, it's really made for the combination of onsite and virtual experience. The content, the people Bon Jovi last night, it's just the top of Mobile World Congress. And it's translating to the industry, this has been amazing. So congratulations. >> Danielle: Thanks so much. >> Dave: I think I got to say, you have a lot to say as we all know. But I think it was easy for the big guys. >> Danielle: Can't Shut me up. (chuckles) >> That's why we love you in theCUBE. But I think it was easy for the big guys to tap out and say, Hey, we're going to save a bunch more money, we don't really have much to talk about. We're going to talk about again. Hey, let's talk about 5G. (chuckles) >> It's a revolution >> Have I told you about 5G though. >> Whereas the narrative here is all about the future and it's not about the future of blah-blah-blah, it's about the future, this is the journey that we're taking and here's where it's starting, and with meat on the bone. >> Yeah. I think what's really interesting about Cloud City is the fact that we've brought these different players together that they're all focused, as you said, on the future. And I'm starting to see these connections where they're collaborating. Like, vendors that didn't know each other probably would never have partnered before, totally different areas. I'm hearing the conversation in the booth about like, Hey, I talked to people in security, or I went and talked to LMX and we're putting deals together 'cause we're complimentary and it's amazing. >> John: And integration partnership, heard that from Google yesterday on our news exclusive break in there, they see integration. And they're talking about Android with what Android did for mobile. They're seeing a whole new software paradigm coming into Telco, it's partnership, it's ecosystem and open. These are new kind of dynamics. >> Danielle: And I think for you guys, when you say integration and open, I think those things are really paired in and they're important. A lot of times Telco people will hear integration, they all think customization. Coding it up and customizing it, so that they talk to each other. But I think the open part of that is really important where we're connecting via API's and I think that's bringing the hyper-scalers, that's what they do. They provide these systems and the software, that's all API base and you can use it very quickly, and you can unravel it if you need to. And it's feature velocity we talked about a couple of days ago. >> And automation is the underpinning of that. I mean, that's really the theme, it's not like a one-off hardcore custom integration that's going to be frozen. >> Danielle: One time to upgrade every 18 months or whatever it is, it's alive. >> Dave: How about Musk yesterday? >> John: I mean, he's always a crowd pleaser. First of all, my kids love him. He's crazy. >> Who doesn't love Elon Musk? >> I mean, he is amazing. He's a builder. And he takes no prisoners. He's just, you know what? My goal was not to go bankrupt. That's what he said a couple of years ago. >> Dave: Which was brilliant because everybody's gone bankrupt in that business and he's just blows it off. >> And he's just like, look it, we're here to just want to chip away at it and we're just going to keep striving, not making up excuses. He takes the failures, he takes the face plants, he gets back up and he keeps going. He's focused on building the future. >> He's focused on one thing, he's on focused everything. He's focused on getting to Mars. And I think that's what I like to compare myself to Elon Musk, not that I'm building rockets or getting to Mars, but that the hard problem that I'm solving is getting Telco to the public cloud. And that's going to take a decade. It might have been accelerated because of COVID, it might've taken 20 years and now it might take 10, but you look at what he does and that guy, he has haters on Twitter they're kind of pew pew, always like throw in their bars, but he's like, I got my rocket company, I got my communication and space company. We're going to need to bore a holes, The Boring Company. I need batteries, I got my Tesla company. And so this guy focuses. >> John: He's got some haters, but he's got a lot more lovers on his other side because people might not know this, but he fires the entire PR department because he's like, I don't need PR I'm just going to go do my own, his own PR. Actually the crypto stuff's always fun, Dogecoins are always a laugh. >> Danielle: I think he just plays around with that. >> And it's just more of like playing. >> Dave Vellante: And that's like, watch this! (laughs) >> He just like to see what he can do. >> I said that live was interesting thing he did, but I think he illustrates the point of a new generation. And I think my young kids, not young, they're in their '20s now, they look at him and they say, that's aspirational because he's building and he's not, he's focused on that one thing. And again, the growth that you mentioned Telco to the cloud, getting back to that, I want to ask you this growth question. It used to be like, okay, growth was there, people expanded cell towers, networks were networks, now it seems like the growth of Telco, what Telco is going into with Edge and all the open ranch stuff, which means that we need more infrastructure. We need more stuff, there's more needed and there's growth behind them. What's your reaction? >> Danielle: I think we need more software. Software eats the world. And it's, I mean, there was a lot of hardware to chomp in Telco and it's just going to keep eating it, and that's just going to accelerate. I that's where Telcos need to start to build that muscle. They don't have great software capability, they don't have public cloud building capability. And so that's a big up-skilling that's a new hiring and I think it's an executive conversation. It's not just an IT thing or just a marketing thing, or networking thing. >> Dave: I got to chime in here for a second because there are a lot of parallels with how the data center transition has occurred. And what's happening here. We talk about all the time, Oh, it's a mainframe, et cetera. There are parallels. And what happened when the data center went to software-defined a whole bunch of hardware was allocated to run all the software-defined stuff. It wasn't built for that, but the cloud, what you guys are doing with Togi and taken advantage of AWS's Nitro and Graviton. That's built to be software-defined. And so the Telcos are going to go through the same thing. If they just virtualized, they're going to say, oh wow, we're wasting 30% of our power our compute power on just supporting all this software-defined stuff, 'cause it wasn't built for that, but the cloud is built for that. And that is going to be a huge difference. >> Danielle: And I keep trying to make this distinction and I think people in Telco still don't get this about the public cloud. They think of it as a place. It's a place to run a workload. And that tells me, they think of it as infrastructure. They think of it as servers still like, well, I'm going to run into my closet or AWS' has closet. I'm like, and I was just having a conversation about this with a senior person from GSMA. I'm like, it's actually about the software that's there, it's about the databases they're building and the analytics and the AI, and ML that they let you buy by the minutes or by the API call. And that is like, you need to think about that 'cause it's mind blowing, it's a totally different way to think. >> John: You're totally right. And just going to again, give you props on this. I've had many ones with Andy Jackson for the past seven years for exclusives, but over the years it's been consistent. Each platform lifting and shift wasn't the end game. Re-platforming in the cloud certainly a great advantage, a great starting point. It was the refactoring. And that's why you see Amazon Web Services for instance, keep adding more services 'cause that's the model. They keep offering more goodness so that the businesses could refactor, not just re-platform. And that's what you're getting, I think with the AI and machine learning, where you start getting into these new use cases, but why couldn't do that before? >> Danielle: Right. >> This is going to be a huge game changer. >> Well Forrest Brazeal, a great guy, a cloud guru wrote a great blog called a lift-and-shift is a ticking time bomb. And it's a great start to get your stuff over there, it forces your team to start to interact with like, an AWS or GCP in a real way like now they, they got to use it. You take it away and I'm like, but once you move it you got to re-factor you got to rewrite and then that's why it's a ticking time bomb. You got to move it over and get going. >> John: You know, Royston DR, Digital Revolution of you are one, you got it here TelcoDR and this has been a great experience for theCUBE as we get back to business with real life events and virtual, the folks who couldn't make it here, Barcelona is still a great city, obviously a great place to come and the events will be back, they'll be hybrid, they'll be different. certainly theCUBE will lay, doubling down, but we've got a great video. I want to share for the group, the Barcelona and Cloud City, this is a montage of what it's like here and little experiential video. So take it away and run that video. (slow upbeat music) (upbeat music) >> Hi, I'm Katie Goldfinch here in Barcelona for an action packed day two at TelcoDR's Cloud City. This morning, the focus was firmly on DR and her MWC keynote which told Telco execs in no uncertain terms that now is the time to act on embracing public cloud. Back in Cloud City, content ruled the day with both theCUBE and Cloud City live stages, hosting public cloud thought-leaders, covering a wide range of topics to educate and inspire attendees. And in the beautiful space of Cloud City, the excitement grew throughout the day as we streamed MWC's exclusive keynotes from Elon Musk. And preparations got underway for tonight's star performer, Jon Bon Jovi. (upbeat music) >> Katie: Wow! What an amazing day from groundbreaking keynotes into space and back to a star studded performance. Don't forget, you can catch up on anything you missed and join us for the rest of the week at cloudcity.telcodr.com or following #cloudcity. (slow upbeat music) >> OK we're back, that was great look at what's going on here in Cloud City, this next video DR, you're going to love this. Your keynote highlights and some Bon Jovi highlights, which by the way, was the most epic thing, people were packed, >> Dave: It was exciting. >> This place was packed. It had the security, clicking peoples, counting all the people, people are standing back. All the people on their booths, they're all coming in to watch. >> Dave: He was pumped. >> Let's take a look at this awesome highlight video from yesterday. (slow upbeat music) (upbeat music) (slow upbeat music) >> Okay. We're back to theCUBE. Dave, that was a highlight reel yesterday. DR has got some action on stage, great messaging, revolution, digital revolution. >> You know your comment about how you think like Elon Musk, that's an inspiration from it. I mean, what a lot of people don't know is when you look at autonomous vehicles, remember you're driving down Palo Alto, you see one of those LIDAR things, he's doing away with LIDARs, it's too expensive. It's $7,000, he's taking it with cheap cameras and software down to a couple of hundred bucks per vehicle, that's the way he thinks and you're doing the same thing to Telco. >> Danielle: I am. I'm trying to change Telco. I mean, he's changing the world. He might be one of the most important humans on earth right now. I don't think I'm exactly that level, but I'm trying to become a really important person in Telco, we have this great message. I think it's going to help Telcos to get better businesses ad I think it's a great idea. >> John: For the folks out there watching, what is that big change? You're going to drive down this Cloud City street, main street of Cloud City and just all about cloud. 'Cause public clouds here, it's going to become hybrid dynamics, operating models are changing. What is the key message that you'd like to send? >> I think all of the software in Telco needs to be re-written. And that's how many millions of lines of code is that and it's going to be shrunk down, and put out on public cloud, and re-written using the software legos of the public cloud, that is a big undertaking. No one's working on it. I'm working on it. I'm doing it. Let's go do it. >> John: Let's do it. And if you look out a couple of years, what would be a successful, what does checkmate look like in these chess game that you play? >> (chuckles) I'm winning, hashtag winning. (laughs and crosstalk) I think it takes, again, it takes singular focus like Elon Musk on Mars. Somebody needs to singularly focus on getting to the public cloud and you can't sit there, and protect your old business models, your CR revenue if you're Amdocs, give that up. When they start to give up their CR revenue to focus on public cloud, then they'll be, okay there's a worthy adversary out there really focusing on it. >> John: I mean the late Clay Christianson had all the same things. Innovator's dilemma. You just get stuck here, what do you do? You kill your own, you eat your own to bring in the new, I mean, all these things are going on, this is a huge test. >> Danielle: If we're willing to burn some boats. >> I think it's transparency, simplicity, and the consumer saying, Hey, this is a great experience. that's the tell sign. And that's what we're going to see over this next decade. >> Consumers love their Telco, I can't wait for that I want to love my Telco. >> Dave: Like you love Netflix. >> Yes, exactly. >> DR, we love you because you've got a bold vision. You put it out there and you're driving it. You're walking the talk. Congratulations. And again, Cloud City is a home run, great success. Thanks for having theCUBE. >> Thank you guys as always, super fun. Great day. >> Okay. TheCUBE's coverage here and remember we're here getting all the action, and it's all going to go online after, synchronous consumption. But right now, it's all about Mobile World Congress and Cloud City. This is the action. And of course, Adam in Cloud City Studio, is waiting for us and you're going to take it from here.
SUMMARY :
Great to see you again. but the right people are the first event to cancel it's just the top of Dave: I think I got to say, Danielle: Can't Shut me up. for the big guys to tap out and it's not about the And I'm starting to see these connections And they're talking about Android Danielle: And I think for you guys, I mean, that's really the theme, Danielle: One time to John: I mean, he's He's just, you know what? and he's just blows it off. He takes the failures, And that's going to take a decade. but he fires the entire PR department Danielle: I think he and all the open ranch stuff, and it's just going to keep eating it, And that is going to be a huge difference. and the analytics and the AI, and ML And just going to again, This is going to be And it's a great start to and the events will be back, now is the time to act and back to a star studded performance. in Cloud City, this next video DR, It had the security, clicking peoples, this awesome highlight video Dave, that was a highlight reel yesterday. and software down to a couple I think it's going to help it's going to become hybrid dynamics, and it's going to be shrunk down, in these chess game that you play? on getting to the public John: I mean the late Clay Christianson Danielle: If we're and the consumer saying, Hey, I can't wait for that I and you're driving it. Thank you guys as always, and it's all going to go online
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Telco | ORGANIZATION | 0.99+ |
Telcos | ORGANIZATION | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
Danielle | PERSON | 0.99+ |
John | PERSON | 0.99+ |
Dave | PERSON | 0.99+ |
$7,000 | QUANTITY | 0.99+ |
Danielle Royston | PERSON | 0.99+ |
Andy Jackson | PERSON | 0.99+ |
Elon Musk | PERSON | 0.99+ |
Adam | PERSON | 0.99+ |
Katie Goldfinch | PERSON | 0.99+ |
Musk | PERSON | 0.99+ |
Mars | LOCATION | 0.99+ |
30% | QUANTITY | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Barcelona | LOCATION | 0.99+ |
Tesla | ORGANIZATION | 0.99+ |
Jon Bon Jovi | PERSON | 0.99+ |
Cloud City | LOCATION | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
TelcoDR | ORGANIZATION | 0.99+ |
20 years | QUANTITY | 0.99+ |
AWS' | ORGANIZATION | 0.99+ |
Clay Christianson | PERSON | 0.99+ |
Forrest Brazeal | PERSON | 0.99+ |
yesterday | DATE | 0.99+ |
10 | QUANTITY | 0.99+ |
Netflix | ORGANIZATION | 0.99+ |
ORGANIZATION | 0.99+ | |
cloudcity.telcodr.com | OTHER | 0.99+ |
GSMA | ORGANIZATION | 0.99+ |
Android | TITLE | 0.99+ |
first event | QUANTITY | 0.99+ |
LMX | ORGANIZATION | 0.98+ |
The Boring Company | ORGANIZATION | 0.98+ |
Bon Jovi | PERSON | 0.98+ |
earth | LOCATION | 0.98+ |
Palo Alto | LOCATION | 0.98+ |
day three | QUANTITY | 0.98+ |
Mobile World Congress | EVENT | 0.97+ |
Edge | ORGANIZATION | 0.97+ |
Each platform | QUANTITY | 0.97+ |
Katie | PERSON | 0.97+ |
both | QUANTITY | 0.97+ |
one | QUANTITY | 0.97+ |
Ankit Goel, Aravind Jagannathan, & Atif Malik
>>From around the globe. It's the cube covering data citizens. 21 brought to you by Colibra >>Welcome to the cubes coverage of Collibra data citizens 21. I'm Lisa Martin. I have three guests with me here today. Colibra customer Freddie Mac, please welcome JAG chief data officer and vice president of single family data and decisions. Jog. Welcome to the cube. >>Thank you, Lisa. Look forward to be, >>Uh, excellent on Kiko LSU as well. Vice president data transformation and analytics solution on Kay. Good to have you on the program. >>Thank you, Lisa. Great to be here and >>A teeth Malik senior director from the single family division at Freddie Mac is here as well. A team welcome. So we have big congratulations in order. Uh, pretty Mac was just announced at data citizens as the winners of the Colibra excellence award for data program of the year. Congratulations on that. We're going to unpack that. Talk about what that means, but I'd love to get familiar with the 3d Jack. Start with you. Talk to me a little bit about your background, your current role as chief data officer. >>Appreciate it, Lisa, thank you for the opportunity to share our story. Uh, my name is Arvind calls me Jack. And as you said, I'm just single-family chief data officer at Freddie Mac, but those that don't know, Freddie Mac is a Garland sponsored entity that supports the U S housing finance system and single family deals with the residential side of the marketplace, as CDO are responsible for our managed content data lineage, data governance, business architecture, which Cleaver plays a integral role, uh, in, in depth, that function as well as, uh, support our shared assets across the enterprise and our data monetization efforts, data, product execution, decision modeling, as well as our business intelligence capabilities, including AI and ML for various use cases as a background, starting my career in New York and then moved to Boston and last 20 years of living in the Northern Virginia DC area and fortunate to have been responsible for business operations, as well as led and, um, executed large transformation efforts. That background has reinforced the power of data and how, how it's so critical to meeting our business objectives. Look forward to our dialogue today, Lisa, once again. >>Excellent. You have a great background and clearly not a dull moment in your job with Freddy, Matt. And tell me a little bit about your background, your role, what you're doing at Freddie >>Mac. Definitely. Um, hi everyone. I'm,, I'm vice president of data transformation and analytics solutions. And I worked for JAG. I'm responsible for many of the things he said, including leading our transformation to the cloud and migrating all our existing data assets front of that transformation journey. I'm also responsible for our business information and business data architecture, decision modeling, business intelligence, and some of the analytics and artificial intelligence. I started my career back in the day as a computer engineer, but I've always been in the financial industry up in New York. And now in the Northern Virginia area, I called myself that bridge between business and technology. And I would say, I think over the last six years with data found that perfect spot where business and technology actually come together to solve real problems and, and really lead, um, you know, businesses to the next stage of, so thank you Lisa for the opportunity today. Excellent. >>And we're going to unpack you call yourself the bridge between business and it that's always such an important bridge. We're going to talk about that in just a minute, but I want to get your background, tell our audience about you. >>Uh, I'm Alec Malek, I'm senior director of business, data architecture, data transformation, and Freddie Mac. Uh, I'm responsible for the overall business data architecture and transformation of the existing data onto the cloud data lake. Uh, my team is responsible for the Kleberg platform and the business analysts that are using and maintaining the data in Libra and also driving the data architecture in close collaboration with our engineering teams. My background is I'm a engineer at heart. I still do a lot of development. This is my first time as of crossing over onto the bridge onto business side of maintaining data and working with data teams. >>Jan, let's talk about digital transformation. Freddie Mac is a 50 year old and growing company. I always love talking with established businesses about digital transformation. It's pretty challenging. Talk to me about your initial plan and what some of the main challenges were that you were looking to solve. >>Uh, great question, Lisa, and, uh, it's definitely pertinent as you say, in our digital world or figuring out how we need to accomplish it. If I look at our data, modernization is it is a major program and, uh, effort, uh, in, in our, in our division, what started as a reducing cost or looking at an infrastructure play, moving from physical data assets to the cloud, as well as enhancing our resiliency as quickly morphed into meeting business demand and objectives, whether it be for sourcing, servicing or securitization of our loan products. So where are we as we think about creating this digital data marketplace, we are, we are basically forming, empowering a new data ecosystem, which Columbia is definitely playing a major role. It's more than just a cloud native data lake, but it's bringing in some of our current assets and capabilities into this new data landscape. >>So as we think about creating an information hub, part of the challenges, as you say, 50 years of having millions of loans and millions of data across multiple assets, it's frigging out that you still have to care and feed legacy while you're building the new highway and figuring out how you best have to transform and translate and move data and assets to this new platform. What we've been striving for is looking at what is the business demand or what is the business use case, and what's the value to help prioritize that transformation. Exciting part is, as you think about new uses of acquiring and distribution of data, as well as news new use cases for prescriptive and predictive analytics, the power of what we're building in our daily, this new data ecosystem, we're feeling comfortable, we'll meet the business demand, but as any CTO will tell you demand is always, uh, outpaces our capacity. And that's why we want to be very diligent in terms of our execution plan. So we're very excited as to what we've accomplished so far this year and looking forward as we offered a remainder year. And as you go into 2022. Excellent, >>Thanks JAG. Uh, two books go to you. As I mentioned in the intro of that Freddie Mac has won the Culebra excellence award for data program of the year. Again, congratulations on that, but I'd love to understand the Kleber center of excellence that you're building at Freddie Mac. First of all, define what a center of excellence is to Freddie Mac and then what you're specifically building. Yeah, sure. >>So the Cleaver center of excellence provides us the overall framework from a people and process standpoint to focus in on our use of Colibra and for adopting best practices. Uh, we can have teams that are focused just on developing best practices and implementing workflows and lineage within Collibra and implementing and adopting a number of different aspects of Libra. It provides the central hub of people being domain experts on the tool that can then be leveraged by different groups within the organization to maintain, uh, the tool. >>Put another follow on question a T for you. How does Freddie Mac define, uh, dated citizens as anybody in finance or sales or marketing or operations? What does that definition of data citizen? >>It's really everyone it's within the organization. They all consume data in different ways and we provide a way of governing data and for them to get a better understanding of data from Collibra itself. So it's really everyone within the organization that way. >>Excellent. Okay. Let's go over to you a big topic at data citizens. 21 is collaboration. That's probably a word that we used a ton in the last 15 plus months or so it was every business really pivoted quickly to figure out how do we best collaborate. But something that you talked about in your intro is being the bridge between business and it, I want to understand from your perspective, how can data teams help to drive improved collaboration between business and it, >>The collaboration between business and technology have been a key focus area for us over the last few years, we actually started an agile transformation journey two years ago that we called modern delivery. And that was about moving away from project teams to persistent product teams that brought business and technology together. And we've really been able to pioneer that in the data space within Freddie Mac, where we have now teams with product owners coming from the data team and then full stack ID developers with them creating these combined teams to meet the business needs. We found that bringing these teams together really remove the barriers that were there in the interaction and the employee satisfaction has been high. And like you said, over the last 16 months with the pandemic, we've actually seen the productivity stay same or even go up because the teams were all working together, they work as a unit and they all have the sense of ownership versus working on a project that has a finite end date to fail. So we've, um, you know, we've been really lucky with having started this two years ago. Well, and >>That's great. And congratulations about either maintaining productivity or having it go up during the last 16 months, which had been incredibly challenging. Jack. I want to ask you what does winning this award from Collibra what does this mean to you and your team and does this signify that you're really establishing a data first culture? >>Great question, Lisa again. Um, I think winning the award, uh, just from a team standpoint, it's a great honor. Uh, Kleber has been a fantastic partner. And when I think about the journey of going from spread sheets, right, that all of us had in the past to now having all our business class returns lineage, and really being at the forefront of our data monetization. So as we think about moving to the cloud Beliebers step in step with us in terms of our integral part of that holistic delivery model, when I ultimately, as a CDO, it's really the team's honor and effort, cause this has been a multi-year journey to get here. And it's great that Libra as a, as a partner has helped us achieve some of these goals, but also recognized, um, where we are in terms of, uh, as looking at data as a product and some of our, um, leading forefront and using that holistic delivery, uh, to, uh, to meet our business objectives. So overall poorly jazzed when, uh, we've been found that we wanted the data program here at Collibra and very honored, um, uh, to, to win this award. That's >>Where we got to bring back I'm jazzed. I liked that jug sticking with you, let's unpack a little bit, some of those positive results, those business outcomes that you've seen so far from the data program. What are those? >>Yeah. So again, if you were thinking about a traditional CDO model, what were the terms that would have been used few years ago? It was around governance and may have been viewed as an oversight. Um, maybe less talking, um, monetization of what it was, the business values that you needed to accomplish collectively. It's really those three building blocks managing content. You got to trust the source, but ultimately it's empowering the business. So the best success that I could say at Freddy, as you're moving to this digital world, it's really empowering the business to figure out the new capabilities and demand and objectives that we're meeting. We're not going to be able to transform the mortgage industry. We're not going to be able or any, any industry, if we're still stuck in old world thinking, and ultimately data is going to be the blood that has to enable those capabilities. >>So if you tell me the business best success, we're no longer talking a okay, I got my data governance, what do we have to do? It's all embedded together. And as I alluded to that partnership between business and it informing that data is a product where you now you're delivering capabilities holistically from program teams all across data. It's no longer an afterthought. As I said, a few minutes ago, you're able to then meet the demand what's current. And how do we want to think about going forward? So it's no longer buzzwords of digital data marketplace. What is the value of that? And that's what the success, I think if our group collectively working across the organization, it's just not one team it's across the organization. Um, and we have our partners, our operations, everyone from business owners, all swimming in the same direction with, and I would say critical management support. So top of the house, our, our head of business, my, my boss was the COO full supportive in terms of how we're trying to execute and I've makes us, um, it's critical because when there is a potential, trade-offs, we're all looking at it collectively as an organization, >>Right. And that's the best viewpoint to have is that sort of centralized unified vision. And as you say, JAG, the support from, from up top, uh, I'd see if I want to ask you, you establish the Culebra center of excellence. What are you focused on now? >>So we really focused in allowing our users to consume data and understand data and really democratizing data so that they can really get a better understanding of that. So that's a lot of our focus and engaging with Collibra and getting them to start to define things in Colibra law form. That's a lot of focus right now. >>Excellent. Want to stay with you one more question and take that I'm gonna ask to all of you, what are you most excited about a lot of success that you've talked about transforming a legacy institution? What are you most excited about and what are the next steps for the data program? Uh, teak what's are your thoughts? >>Yeah, so really modernizing onto, uh, onto a cloud data lake and allowing all of the users and, uh, Freddie Mac to consume data with the level of governance that we need around. It is a exciting proposition for me. >>What would you say is most exciting to you? >>I'm really looking forward to the opportunities that artificial intelligence has to offer, not just in the augmented analytics space, but in the overall data management life cycle. There's still a lot of things that are manual in the data management space. And, uh, I personally believe, uh, artificial intelligence has a huge role to play there. And Jackson >>Question to you, it seems like you have a really strong collaborative team. You have a very collaborative relationship with management and with Collibra, what are you excited about? What's coming down the pipe. >>So Lisa, if I look at it, you know, we sit back here June, 2021, where were we a year ago? And you think about a lot of the capabilities and some of the advancements that we may just in a year sitting virtually using that word jazzed or induced or feeling really great about. We made a lot of accomplishments. I'm excited what we're going to be doing for the next year. So there's other use cases, and I could talk about AIML and OCHA talks about, you know, our new ecosystem. Seeing those use cases come to fruition so that we're, we are contributing to value from a business standpoint. The organization is what really keeps me up. Uh, keeps me up at night. It gets me up in the morning and I'm really feeling dues for the entire division. Excellent. >>Well, thank you. I want to thank all three of you for joining me today. Talking about the successes that Freddie Mac has had transforming in partnership with Colibra again, congratulations on the Culebra excellence award for the data program. It's been a pleasure talking to all three of you. I'm Lisa Martin. You're watching the cubes coverage of Collibra data citizens 21.
SUMMARY :
21 brought to you by Colibra Welcome to the cubes coverage of Collibra data citizens 21. Good to have you on the program. but I'd love to get familiar with the 3d Jack. has reinforced the power of data and how, how it's so critical to And tell me a little bit about your background, your role, what you're doing at Freddie to solve real problems and, and really lead, um, you know, businesses to the next stage of, We're going to talk about that in just a minute, but I want to get your background, tell our audience about you. Uh, I'm responsible for the overall business data architecture and transformation Talk to me about your initial plan and what some of the main challenges were that Uh, great question, Lisa, and, uh, it's definitely pertinent as you say, building the new highway and figuring out how you best have to transform and translate As I mentioned in the intro of that Freddie Mac has won So the Cleaver center of excellence provides us the overall framework from a people What does that definition of data citizen? So it's really everyone within the organization is being the bridge between business and it, I want to understand from your perspective, over the last 16 months with the pandemic, we've actually seen the productivity this award from Collibra what does this mean to you and your team and the past to now having all our business class returns lineage, I liked that jug sticking with you, let's unpack a little bit, it's really empowering the business to figure out the new capabilities and demand and objectives that we're meeting. And as I alluded to And as you say, JAG, the support from, from up top, uh, I'd see if I want to ask you, So that's a lot of our focus and engaging with Collibra and getting them to Want to stay with you one more question and take that I'm gonna ask to all of you, what are you most excited all of the users and, uh, Freddie Mac to consume data with the I'm really looking forward to the opportunities that artificial intelligence has to offer, with Collibra, what are you excited about? So Lisa, if I look at it, you know, we sit back here June, 2021, where were we a year ago? congratulations on the Culebra excellence award for the data program.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Lisa Martin | PERSON | 0.99+ |
Atif Malik | PERSON | 0.99+ |
Lisa | PERSON | 0.99+ |
Alec Malek | PERSON | 0.99+ |
June, 2021 | DATE | 0.99+ |
Boston | LOCATION | 0.99+ |
Ankit Goel | PERSON | 0.99+ |
New York | LOCATION | 0.99+ |
Jack | PERSON | 0.99+ |
Freddie Mac | ORGANIZATION | 0.99+ |
50 years | QUANTITY | 0.99+ |
Arvind | PERSON | 0.99+ |
Aravind Jagannathan | PERSON | 0.99+ |
JAG | PERSON | 0.99+ |
Collibra | ORGANIZATION | 0.99+ |
2022 | DATE | 0.99+ |
Kay | PERSON | 0.99+ |
Jackson | PERSON | 0.99+ |
two books | QUANTITY | 0.99+ |
Matt | PERSON | 0.99+ |
Northern Virginia DC | LOCATION | 0.99+ |
Freddie | ORGANIZATION | 0.99+ |
Northern Virginia | LOCATION | 0.99+ |
three guests | QUANTITY | 0.99+ |
today | DATE | 0.99+ |
next year | DATE | 0.99+ |
two years ago | DATE | 0.99+ |
a year ago | DATE | 0.98+ |
Colibra | TITLE | 0.98+ |
first time | QUANTITY | 0.98+ |
this year | DATE | 0.97+ |
Freddy | ORGANIZATION | 0.97+ |
pandemic | EVENT | 0.97+ |
OCHA | ORGANIZATION | 0.97+ |
three | QUANTITY | 0.97+ |
three building blocks | QUANTITY | 0.97+ |
Kleber | ORGANIZATION | 0.96+ |
CDO | ORGANIZATION | 0.96+ |
Freddy | PERSON | 0.94+ |
last 16 months | DATE | 0.94+ |
Mac | ORGANIZATION | 0.94+ |
Colibra | ORGANIZATION | 0.93+ |
one more question | QUANTITY | 0.93+ |
First | QUANTITY | 0.93+ |
50 year old | QUANTITY | 0.92+ |
Kleber | PERSON | 0.91+ |
millions of data | QUANTITY | 0.9+ |
millions of loans | QUANTITY | 0.9+ |
single | QUANTITY | 0.89+ |
few years ago | DATE | 0.89+ |
AIML | ORGANIZATION | 0.86+ |
Culebra excellence award | TITLE | 0.85+ |
Cleaver | PERSON | 0.83+ |
one team | QUANTITY | 0.83+ |
few minutes ago | DATE | 0.82+ |
Freddie Mac | ORGANIZATION | 0.81+ |
3d | QUANTITY | 0.81+ |
Culebra | ORGANIZATION | 0.8+ |
Libra | TITLE | 0.8+ |
U | LOCATION | 0.8+ |
last six years | DATE | 0.78+ |
Garland | ORGANIZATION | 0.78+ |
Columbia | LOCATION | 0.74+ |
Malik | PERSON | 0.74+ |
Kleberg | ORGANIZATION | 0.73+ |
Libra | ORGANIZATION | 0.72+ |
Brian Bohan and Chris Wegmann | AWS Executive Summit 2020
>> Announcer: From around the globe, it's theCUBE. With digital coverage of AWS reInvent Executive Summit 2020, sponsored by Accenture and AWS. >> Hello and welcome back to theCUBE's coverage of AWS reInvent 2020. This is special programming for the Accenture Executive Summit where all the thought leaders are going to extract the signal from those share with you their perspective of this year's reInvent conference as it respects the customers' digital transformation. Brian Bohan is the director and head of Accenture, AWS Business Group at Amazon web services. Brian, great to see you. And Chris Wegmann is the Accenture Amazon Business Group technology lead at Accenture. Guys this is about technology vision this conversation. Chris, I want to start with you because you're Andy Jackson's keynote. You heard about the strategy of digital transformation, how you got to lean into it. You got to have the guts to go for it and you got to decompose. He went everywhere.(chuckles) So what did you hear? What was striking about the keynote? Because he covered a lot of topics. >> Yeah. It was epic as always from Andy. Lot of topics, a lot to cover in the three hours. There was a couple of things that stood out for me. First of all, hybrid. The concept, the new concept of hybrid and how Andy talked about it, bringing the compute and the power to all parts of an enterprise, whether it be at the edge or are in the big public cloud, whether it be in an Outpost or wherever it'd be, right with containerization now. Being able to do Amazon containerization in my data center and that's awesome. I think that's going to make a big difference. All that being underneath the Amazon console and billing and things like that, which is great. I'll also say the chips, right? I know computer is always something that we always kind of take for granted but I think again, this year, Amazon and Andy really focused on what they're doing with the chips and compute and the compute is still at the heart of everything in cloud. And that continued advancement is making an impact and will make and continue to make a big impact. >> Yeah, I would agree. I think one of the things that really... I mean the container thing was I think really kind of a nuance point. When you've got Deepak Singh on the opening day with Andy Jassy and he runs a container group over there. When we need a small little team, he's on the front stage. That really is the key to the hybrid. I think this showcases this new layer. We're taking advantage of the Graviton2 chips, which I thought was huge. Brian, this is really a key part of the platform change, not change, but the continuation of AWS. Higher level servers, >> Yep. building blocks that provide more capabilities, heavy lifting as they say but the new services that are coming on top really speaks to hybrid and speaks to the edge. >> It does. Yeah. I think like Andy talks about and we talked about we really want to provide choice to our customers, first and foremost. And you can see that in the array of services we have, we can see it in the the hybrid options that Chris talked about. Being able to run your containers through ECS or EKS anywhere. It just get to the customers choice. And one of the things that I'm excited about as you talk about going up the stack and on the edge are things, most certainly Outpost, right? So now Outpost was launched last year but then with the new form factors and then you look at services like Panorama, right? Being able to take computer vision and embed machine learning and computer vision, and do that as a managed capability at the edge for customers. And so we see this across a number of industries. And so what we're really thinking about is customers no longer have to make trade-offs and have to think about those choices, that they can really deploy natively in the cloud and then they can take those capabilities, train those models, and then deploy them where they need to whether that's on premises or at the edge, whether it be in a factory or retail environment. I think we're really well positioned when hopefully next year we start seeing the travel industry rebound and the need more than ever really to kind of rethink about how we kind of monitor and make those environments safe. Having this kind of capability at the edge is really going to help our customers as we come out of this year and hopefully rebound next year. >> Chris, I want to go back to you for a second. It's hard to pick your favorite innovation from the keynote because, Brian, just reminded me of some things I forgot happened. It was like a buffet of innovation. Some keynotes have one or two, there was like 20. You got the industrial piece that was huge. Computer vision, machine learning, that's just a game changer. The connect thing came out of nowhere in my opinion. I mean, it's a call center technology so it's boring as hell, what are you going to do with that?(Brian and Chris chuckle) It turns out it's a game changer. It's not about the calls but the contact and that's distant intermediating in the stack as well. So again, a feature that looks old is actually new and relevant. What was your favorite innovation announcement? >> It's hard to say. I will say my personal favorite was the Mac OS. I think that is a phenomenal just addition, right? And the fact that AWS has worked with Apple to integrate the Nitro chip into the iMac and offer that out. A lot of people are doing development for IOS and that stuff and that's just been a huge benefit for the development teams. But I will say, I'll come back to Connect. You mentioned it but you're right. It's a boring area but it's an area that we've seen huge success with since Connect was launched and the additional features that Amazon continues to bring, obviously with the pandemic and now that customer engagement through the phone, through omni-channel has just been critical for companies, right? And to be able to have those agents at home, working from home versus being in the office, it was a huge advantage for several customers that are using Connect. We did some great stuff with some different customers but the continue technology like you said, the call translation and during a call to be able to pop up those keywords and have a supervisor listen is awesome. And some of that was already being done but we are stitching multiple services together. Now that's right out of the box. And that Google's location is only going to make that go faster and make us to be able to innovate faster for that piece of the business. >> It's interesting not to get all nerdy and business school like but you've got systems of records, systems of engagement. If you look at the call center and the Connect thing, what got my attention was not only the model of disintermediating that part of the engagement in the stack but what actually cloud does to something that's a feature or something that could be an element like say call center, the old days of calling the 800 number and getting some support. You got infra chip, you have machine learning, you actually have stuff in the in the stack that actually makes that different now. The thing that impressed me was Andy was saying, you could have machine learning detect pauses, voice inflections. So now you have technology making that more relevant and better and different. So a lot going on. This is just one example of many things that are happening from a disruption innovation standpoint. What do you guys think about that? Am I getting it right? Can you share other examples? >> I think you are right and I think what's implied there and what you're saying and even in the other Mac OS example is the ability... We're talking about features, right? Which by themselves you're saying, Oh, wow! What's so unique about that? But because it's on AWS and now because whether you're a developer working with Mac iOS and you have access to the 175 plus services that you can then weave into your new application. Talk about the Connect scenario. Now we're embedding that kind of inference and machine learning to do what you say, but then your data Lake is also most likely running in AWS, right? And then the other channels whether they be mobile channels or web channels or in-store physical channels, that data can be captured and that same machine learning could be applied there to get that full picture across the spectrum, right? So that's the power of bringing you together on AWS, the access to all those different capabilities and services and then also where the data is and pulling all that together for that end to end view. >> Can you guys give some examples of work you've done together? I know there's stuff we've reported on, in the last session we talked about some of the connect stuff but that kind of encapsulates where this is all going with respect to the tech. >> Yeah. I think one of them, it was called out on Doug's Partner Summit is a SAP Data Lake Accelerator, right? Almost every enterprise has SAP, right? And getting data out of SAP has always been a challenge, right? Whether it be through data warehouses and AWS, or sorry, SAP BW. What we've focused on is getting that data when you have SAP on AWS, getting that data into the Data Lake, right? Getting it into a model that you can pull the value out and the customers can pull the value out, use those AI models. So that's one thing we worked on in the last 12 months. Super excited about seeing great success with customers. A lot of customers had ideas. They want to do this, they had different models. What we've done is made it very simplified. Framework which allows customers to do it very quickly, get the data out there and start getting value out of it and iterating on that data. We saw customers are spending way too much time trying to stitch it all together and trying to get it to work technically. And we've now cut all of that out and they can immediately start getting down to the data and taking advantage of those different services that are out there by AWS. >> Brian, you want to weigh in as things you see as relevant builds that you guys done together that kind of tease out the future and connect the dots to what's coming? >> I'm going to use a customer example. We worked with, it just came out, with Unilever around their blue air, connected, smart air purifier. And what I think is interesting about that, I think it touches on some of the themes we're talking about as well as some of the themes we talked about in the last session, which is we started that program before the pandemic, but Unilever recognized that they needed to differentiate their product in the marketplace, move to more of a services oriented business which we're seeing as a trend. We enabled this capability. So now it's a smart air purifier that can be remote managed. And now when the pandemic hit, they are in a really good position, obviously, with a very relevant product and capability to be used. And so, that data then as we were talking about is going to reside on the cloud. And so the learning that can now happen about usage and about filter changes, et cetera can find its way back into future iterations of that picked out that product. And I think that's keeping with what Chris is talking about where we might be systems of record like in SAP, how do we bring those in and then start learning from that data so that we can get better on our future iterations? >> Hey, Chris, on the last segment we did on the business mission session, Andy Tay from your team talked about partnerships within a century and working with other folks. I want to take that now on the technical side because one of the things that we heard from Doug's keynote and during the partner day was integrations and data were two big themes. When you're in the cloud technically, the integrations are different. You're going to get unique things in the public cloud that you're just not going to get on-premise access to other cloud native technologies and companies. How do you see the partnering of Accenture with people within your ecosystem and how the data and the integration play together? What's your vision? >> Yeah. I think there's two parts of it. One there's from a commercial standpoint, right? Some marketplace, you heard Dave talk about that in the partner summit, right? That marketplace is now bringing together this ecosystem in a very easy way to consume by the customers and by the users and bringing multiple partners together. And we're working with our ecosystem to put more products out in the marketplace that are integrated together already. I think one from a technical perspective though. If you look at Salesforce, I talked a little earlier about Connect. Another good example technically underneath the covers, how we've integrated Connect and Salesforce, some of it being pre-built by AWS and Salesforce, other things that we've added on top of it, I think are good examples. And I think as these ecosystems these ISVs put their products out there and start exposing more and more APIs on the Amazon platform may opening it up, having those pre-built network connections there between the different VPCs of the different areas within within a customer's network and having them all opened up and connected and having all that networking done underneath the covers. It's one thing to call the APIs, it's one thing to have access to those and that's not a big focus of a lot of ISVs and customers who build those APIs and expose them but having that network infrastructure underneath and being able to stay within the cloud, within AWS to make those connections that pass that data. We always talk about scale, right? It's one thing if I just need to pass like a simple user ID back and forth, right? That's fine. We're not talking massive data sets, whether it be seismic data or whatever it be, passing those large data sets between customers across the Amazon network is going to open up the world. >> Yeah, I see huge possibilities there and love to keep on this story. I think it's going to be important and something to keep track of. I'm sure you guys will be on top of it. One of the things I want to dig into with you guys now is Andy had kind of this philosophical thing in his keynote talk about societal change and how tough the pandemic is. Everything's on full display and this kind of brings out kind of like where we are and the truth. If you look at the truth it's a virtual event. I mean, it's a website and you got some sessions out there, we're doing remote best we can and you've got software and you've got technology and the other concept of a mechanism, it's software, it does something It does a purpose. Accenture, you guys have a concept called Living Systems where growth strategy powered by technology. How do you take the concept of a living organism or a system and replace the mechanism staleness of computing and software? And this is kind of interesting because we're on the cusp of a major inflection point post COVID. I get the digital transformation being slow. That's yes, that's happening. There's other things going on in society. What do you guys think about this Living Systems concept? Yeah. I'll start. I think the living system concept, it started out very much thinking about how do you rapidly change your system, right? And because of cloud, because of DevOps, because of all these software technologies and processes that we've created, that's where it started making it much easier, make it a much faster being able to change rapidly. But you're right. I think if you now bring in more technologies, the AI technology, self-healing technologies. Again, you heard Andy in his keynote talk about the systems and services they're building to detect problems and resolve those problems, right? Obviously automation is a big part of that. Living Systems, being able to bring that all together and to be able to react in real time to either when a customer asks, either through the AI models that have been generated and turning those AI models around much faster and being able to get all the information that came in the last 20 minutes, right? Society is moving fast and changing fast and even in one part of the world, if something in 10 minutes can change. And being able to have systems to react to that, learn from that and be able to pass that on to the next country especially in this world of COVID and things changing very quickly and diagnosis and medical response all that so quickly to be able to react to that and have systems pass that information, learn from that information is going to be critical. >> That's awesome. Brian, one of the things that comes up every year is, oh, the cloud's scalable. This year I think we've talked on theCUBE before, years ago certainly with the Accenture and Amazon. I think it was like three or four years ago. Yeah. The clouds horizontally scalable but vertically specialized at the application layer. But if you look at the Data Lake stuff that you guys have been doing where you have machine learning, the data is horizontally scalable and then you got the specialization in the app changes the whole vertical thing. You don't need to have a whole vertical solution or do you? So, how has this year's cloud news impacted vertical industries? Because it used to be, oh, oil and gas, financial services. They've got a team for that. We got a stack for that. Not anymore. Is it going away? What's changing? >> Well. It's a really good question. I think what we're seeing, and I was just on a call this morning talking about banking and capital markets and I do think the challenges are still pretty sector specific. But what we do see is the kind of commonality when we start looking at the, and we talked about this, the industry solutions that we're building as a partnership, most of them follow the pattern of ingesting data, analyzing that data and then being able to provide insights and then actions, right? So if you think about creating that kind of common chassis of that in just the Data Lake and then the machine learning, and you talk about the nuances around SageMaker and being able to manage these models, what changes then really are the very specific industries' algorithms that you're writing, right, within that framework. And so, we're doing a lot and Connect is a good example of this too, where you look at it and yeah, customer service is a horizontal capability that we're building out, but then when you stamp it into insurance or retail banking, or utilities, there are nuances then that we then extend and build so that we meet the unique needs of those industries and that's usually around those models. >> Yeah. I think this year was the first reInvent that I saw real products coming out that actually solved that problem. I mean, it was there last year SageMaker was kind of moving up the stack, but now you have apps embedding machine learning directly in and users don't even know it's in there. I mean, cause this is kind of where it's going, right? I mean-- >> You saw that was in announcements, right? How many announcements where machine learning is just embedded in? I mean, CodeGuru, DevOps Guru, the Panorama we talked about, it's just there. >> Yeah. I mean having that knowledge about the linguistics and the metadata, knowing the business logic, those are important specific use cases for the vertical and you can get to it faster. Chris, how is this changing on the tech side, your perspective? >> Yeah. I keep coming back to AWS and cloud makes it easier, right? All this stuff can be done and some of it has been done, but what Amazon continues to do is make it easier to consume by the developer, by the customer and to actually embed it into applications much easier than it would be if I had to go set up the stack and build it all on them and embed it, right? So it's shortcoming that process and again, as these products continue to mature, right, and some of this stuff is embedded, it makes that process so much faster. It reduces the amount of work required by the developers the engineers to get there. So, I'm expecting you're going to see more of this, right. I think you're going to see more and more of these multi connected services by AWS, that has a lot of the AI ML pre-configured Data Lakes, all that kind of stuff embedded in those services. So you don't have to do it yourself and continue to go up the stack. And we always talk about Amazon's built for builders, right? But, builders have been super specialized and are becoming, as engineers were being asked to be bigger and bigger and to be be able to do more stuff and I think these kind of integrated services are going to help us do that >> And certainly needed more now when you have hybrid edge that they're going to be operating with microservices on a cloud model and with all those advantages that are going to come around the corner for being in the cloud. I mean, I think there's going to be a whole clarity around benefits in the cloud with all these capabilities and benefits. Cloud Guru I think it's my favorite this year because it just points to why that could happen. I mean that happens because of the cloud data.(laughs) If you're on-premise, you may not have a little Cloud Guru. you are going to get more data but they're all different. Edge certainly will come in too. Your vision on the edge, Chris, how you see that evolving for customers because that could be complex, new stuff. How is it going to get easier? >> Yeah. It's super complex now, right? I mean, you got to design for all the different edge 5G protocols are out there and solutions, right? Amazon's simplifying that. Again, I come back to simplification, right? I can build an app that works on any 5G network that's been integrated with AWS, right. I don't have to set up all the different layers to get back to my cloud or back to my my bigger data set. And that's kind of choking. I don't even know where to call the cloud anymore. I got big cloud which is a central and I go down then you've got a cloud at the edge. Right? So what do I call that? >> Brian: It's just really computing.(laughing) Exactly. So, again, I think is this next generation of technology with the edge comes right and we put more and more data at the edge. We're asking for more and more compute at the edge, right? Whether it be industrial or for personal use or consumer use, that processing is going to get more and more intense to be able to maintain under a single console, under a single platform and be able to move the code that I developed across that entire platform, whether I have to go all the way down to the very edge at the 5G level, right, or all the way back into the bigger cloud and how that processing in there, being able to do that seamlessly is going to allow the speed of development that's needed. >> Wow. You guys done a great job and no better time to be a techie or interested in technology or computer science or social science for that matter. This is a really perfect store. A lot of problems to solve, a lot of change happening, positive change opportunities, a lot of great stuff. Final question guys. Five years working together now on this partnership with AWS and Accenture. Congratulations, you guys are in pole position for the next wave coming. What's exciting you guys? Chris, what's on your mind? Brian, what's getting you guys pumped up? >> Well, again, I come back to Andy mentioned it in his keynote, right? We're seeing customers move now, right. Five years ago we knew customers were going to do this. We built a partnership to enable these enterprise customers to make that journey, right? But now, even more we're seeing them move at such great speed, right? Which is super excites me, right? Because I can see... Being in this for a long time now, I can see the value on the other end. We've been wanting to push our customers as fast as they can through the journey and now they're moving. Now they're getting the religion, they're getting there. They see they need to do it to change your business so that's what excites me. It just the excites me, it's just the speed at which we're going to to see the movement. >> Yeah. >> Yeah. I'd agree with that. I mean, I just think getting customers to the cloud is super important work and we're obviously doing that and helping accelerate that. It's what we've been talking about when we're there all the possibilities that become available, right? Through the common data capabilities, the access to the 175 somewhat AWS services. I also think and this is kind of permeated through this week at Re:invent is the opportunity, especially in those industries that do have an industrial aspect, a manufacturing aspect, or a really strong physical aspect of bringing together IT and operational technology and the business with all these capabilities and I think edge and pushing machine learning down to the edge and analytics at the edge is really going to help us do that. And so I'm super excited by all that possibility because I feel like we're just scratching the surface there. >> It's a great time to be building out. and this is the time for reconstruction, reinvention. Big theme, so many storylines in the keynote and the events . It's going to keep us busy here at SiliconANGLE on theCUBE for the next year. Gentlemen, thank you for coming on. I really appreciate it. Thanks. >> Thank you. All right. Great conversation. We're getting technical. We're going to go another 30 minutes A lot to talk about. A lot of storylines here at AWS Re:Invent 2020 at the Accenture Executive Summit. I'm John Furrier. Thanks for watching. (upbeat music)
SUMMARY :
Announcer: From around the globe, and you got to decompose. and the compute is still That really is the key to the hybrid. and speaks to the edge. and on the edge are things, back to you for a second. and the additional features of the engagement in the stack and machine learning to do what you say, in the last session we talked about and the customers can pull the value out, and capability to be used. and how the data and the and by the users and bringing and even in one part of the world, and then you got the of that in just the Data Lake and users don't even know it's in there. DevOps Guru, the Panorama we talked about, and the metadata, knowing and to be be able to do more stuff that are going to come around the corner I don't have to set up and be able to move the and no better time to be a techie I can see the value on the other end. and the business with in the keynote and the events . at AWS Re:Invent 2020 at the
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Chris Wegmann | PERSON | 0.99+ |
Chris | PERSON | 0.99+ |
Andy Tay | PERSON | 0.99+ |
Brian | PERSON | 0.99+ |
Andy | PERSON | 0.99+ |
John Furrier | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Brian Bohan | PERSON | 0.99+ |
Andy Jackson | PERSON | 0.99+ |
Dave | PERSON | 0.99+ |
Unilever | ORGANIZATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
next year | DATE | 0.99+ |
last year | DATE | 0.99+ |
ORGANIZATION | 0.99+ | |
Accenture | ORGANIZATION | 0.99+ |
Five years | QUANTITY | 0.99+ |
Deepak Singh | PERSON | 0.99+ |
IOS | TITLE | 0.99+ |
Andy Jassy | PERSON | 0.99+ |
Apple | ORGANIZATION | 0.99+ |
iMac | COMMERCIAL_ITEM | 0.99+ |
one | QUANTITY | 0.99+ |
two | QUANTITY | 0.99+ |
three | DATE | 0.99+ |
Doug | PERSON | 0.99+ |
Five years ago | DATE | 0.99+ |
two parts | QUANTITY | 0.99+ |
AWS Business Group | ORGANIZATION | 0.98+ |
This year | DATE | 0.98+ |
10 minutes | QUANTITY | 0.98+ |
175 plus services | QUANTITY | 0.98+ |
Accenture Executive Summit | EVENT | 0.98+ |
20 | QUANTITY | 0.98+ |
four years ago | DATE | 0.98+ |
three hours | QUANTITY | 0.98+ |
this year | DATE | 0.98+ |
800 | OTHER | 0.98+ |
One | QUANTITY | 0.98+ |
Chetan Kapoor, AWS & Eitan Medina, Habana Labs | AWS re:Invent 2020
>>from around the globe. It's the Cube with digital coverage of AWS >>reinvent 2020 sponsored >>by Intel, AWS and our community partners. Welcome back to the cubes. Virtual coverage of AWS reinvent 2020. It's virtual this year. We're not in person, so we're doing remote interviews. Part of the three weeks we'll be covering wall to wall a lot of great conversations. News to cover and joining me today Off Fresh off the news off Andy Jackson's keynote, We have two great guests here. Jason Kapoor, senior product manager for Accelerated Computing at A. W S and eight time Medina Chief business officer, Havana Labs, which was recently acquired by Intel Folks. Thanks for coming on, gentlemen. Thank you for spending the time for coming on the key. Appreciate it. >>Thanks for having us. >>J Town. So talk about the news, actually. Uh, computers changing. It's being reinvented. That's the theme from Andy's keynote. What did Andy announced? Could you take a minute to explain the announcement? What services? What ap What's gonna be supported? What's this about? Take a minute to explain. >>Yeah, absolutely. Yeah. So today >>we >>announced our plans to launch and easy to instance based on hardware accelerators from Havana labs. We expect these businesses to be available in the first time from next year. And these air custom designed for accelerating training off deep learning models, a zoo we all know like training of deep learning models is a really competition. Aly extensive task. Oftentimes it takes too long and cost too much. And we're really excited about getting these instances out of the market as we expect for them to provide up to 40% better price performance. Thani on top of the line GPU instances, >>a lot of improvements. Why did anybody do this? Why heaven or what's the what the working backwards document tell you? What is it customers looking for here is or specific use case? >>Yeah, absolutely. So, you know, over the years, uh, the use of machine learning and deep learning has, like, really skyrocketed, right? So we're seeing companies from all the way like 14, 500 to like start ups just reinventing their business models and use using deep learning more pervasively. Right. So we have companies like Pinterest, you know, you'd use deep learning for content recommendations and object detection to Toyota Research Institute that are advancing the science behind autonomous vehicles. And there's a consistent cream from a lot of these customers that are, you know, innovating in the deep learning space that you know the cost it takes to experiment, train and optimize the deep learning models. It's too high. And, you know, they're looking at us as one of their partners to help them optimize their costs, you know, bring them as well as possible while giving them really performing products and enable them to actually bring their markets, their innovations to market as soon as possible. Right? S o. Do you answer your questions straight on your wants? The working backwards. It's a feedback from customers that they want choice on. They want our help Thio lower. Uh, the amount of compute resources and the cost it takes to train the new planning models. >>Hey, Tom, why don't you weigh in here on Havana and now part of intel? What trends are driving this? What's the motivation? Were you guys fit in? What's your view on this? >>Yeah, So Havana was founded in 2016 to deliver a I processors for the data center and cloud for training and inference deep learning models. So while building chips is hard, building, the software and ecosystem is even harder. So joining forces with intel simply helps us connect the dots. Ever since the acquisition last year, we were able to significantly boost our armed. The resource is, and now we're leveraging inter scale in number of customers and ecosystem and partner support. >>So what's the name of the product? Is there a chip name got? Was it Gowdy is the name? >>Yes, the product is man angle. >>Okay. And so it's gonna be hardware. So it's the hardware software. What's involved? Take us through the product. >>Yes. So Gandhi was designed from the ground up to do one task which is training deep learning models. To do that well, we focus the architectural to aspect efficiency and scalability. The computer architectures is a combination of fully programmable TPC tensile process, of course, and a central g M n G. These DPC course are programmable Villa W seen the machines that we designed with custom instruction, set architecture, er and special functions that will developed specifically for a I. The Gandhi cheap integrates also 32 gigabyte off H B M to memory which makes it easy to port to. For GPU developers, Gandhi is unique in integrating 10 parts of 100 gigabit Internet rocky on cheap. And this is opposed to other architectural, which use proprietary interfaces. So overall, improving the cost performance is achieved through efficiency, namely higher utilization off the computer and memory resource is on cheap and the native integration off the rocky interfaces >>J Town. This is actually interesting, as this is the theme for reinvent. We're seeing it right on stage today. Play out again another command performance by Andy Jassy. Slew of announcements. How does Gowdy fit into the AI portfolio or Amazon strategy? Because what a town saying is it sounds like he's doing the heavy lifting on all this training stuff when people want to just get to the outcome. I mean, the theme has been, just let the product do what they do kind of put stuff under the covers and just let it scale. Is that the theme here is this. >>What does this >>all fit in? Take us through how this fits into the A, I strategy for Amazon and also what what what is Havana Intel bring to the table? >>Absolutely. Yeah. So with respect to our overall strategy and portfolio units, it's relatively straightforward, right? So we're laser focused on making sure we have the broadest and deepest portfolio off services for machine learning, right? So these range from infrastructure services specifically compute networking and storage all the way up to, like, managed and all services, which come with pre trained models and customers can simply invoke them using an A P. I call right eso. So from a strategy perspective, you want to make sure that we provide a customer to a choice, uh, enable them to pick the right platform for the right use case, help them get to the Khan structure they actually want, right eso with Havana. And you know, their acquisition with Intel, we finally have access to hardware software and the ability to kind of build out a ecosystem beyond what you know judicially is being used. Which is was a GP used right eso. So the engagement with with Havana, you know, allows us to take their products and capabilities, wrap it around, and easy to instance, which is what customers will be able to launch right on doing so. We're enabling them to tap into the innovation that Teton the rest of the Havana team are working on while having a solution that is integrated with the full AWS stack. Right? So you don't you don't have to rack in stock hard. Bring your data center thes. They're gonna be available standard. Easy to instances. You can just click and launch them. Get access to software that's already pre integrated and big den and ready to go right. Eso so it actually comes down to taking their innovations, coupling it with an AWS solution and making it too easy for customers together. I've been running with the respective training the deepened models. >>Well, here is the question that I want to get to. I think everyone's on everyone's mind is how is it Gowdy different or similar than other GPU? Specifically, you mentioned the software stack on the AWS What you get the software stack inside the chip. How is this different or similar? Two other GP use. And what's the difference between the software stack versus a traditional libraries? >>So from day one, we were focused on the software experience and we were mindful in the need to make it easy for developers to use the innovations we have in the hardware. Most developers, if not all of them, are using deep learning frameworks such as tensile flowing pytorch for building their deep learning models. So God is synapse AI software suite comes integrated and optimized for tensorflow and pilotage, so we expect most developers to be able to take their existing models and with minor changes to the training strips to be able to run them on Gowdy based instances. In addition, expert developers that are familiar with writing their own kernels will be provided with food too sweet for writing their own TPC kernels that can augment the Havana provided library. >>So that's the user experience for the developers, right? That's what you're saying >>exactly, exactly, and we will provide detailed guides for developers. In doing that, Havana will provide open access to documentation library software models and left toe Havana's kita and bi directional communication with the Havana developer community. All these resources will be available concurrently with the AWS Instances launch. >>Okay, so I'm a developer. How did I get involved? It's software on git hub I use the hardware is on Amazon, obviously, in their instances. It's a new instance. Take me through the workflow develop. I'm into this. I wanna I wanna get involved. What I what am I doing? Take me >>through? Yes, I think it s so If the developer is accustomed to using GPS for training the deep learning models three experience is gonna be practically the same, right? So they'll have multiple options to get started. One of them would be, for example, to take our deep learning, Um, it's or Amazon machine images that will come integrated with software from Havana labs. Right. So customers will take the deep Learning Army and launch it on an easy to instance, featuring the gaudy accelerators. Right? So when with that, they'll have, you know, the baseline construct off software and hardware available to get up and running with right, we'll support, you know, all different types of work flows. So if customers want to use containerized solutions, thes instances will be supported R E C s and E s services. Eso using containerized kubernetes you know, thes the solution will just work on. Lastly, we also intend to support these instances through sage maker eso. Just a quick recap on stage maker. That's a manage service that does end to end that provides end to end capabilities for training, debugging, building and deploying machine learning applications. Eso these instances will also be supporting sage maker. So if you're fiddling with sage maker, you can get up and running with this. This is fairly quickly. >>It sounds like it's gonna enable a lot of action and sage maker level. Then can that layer on the use cases? I gotta ask you guys quickly, What's the low hanging fruit use case applications for this product thing? This partnership, Because you know that's gonna be the first Traction said, What are some of these applications gonna be used for? What can we expect to see? >>So typical applications would be image classifications, object detection, natural language processing, the recommendation systems. You'll find reference models in our get up for that and will be growing at least a Z you can imagine. >>Okay, where can people find more info? Give us the data. Take him in to explain. Put a plug in for how What's all the coordinates? U r l sites support how people create, Um, how people get involved. The community. >>Yeah, so customers will be able to access information on AWS websites and also on Havana Labs website. So you will be kicking off a preview early next year. Eso I would highly recommend for customers to find our product pages and signed up for already access and previous information. Utah. >>Yes, and you'll find more information on Havana. A swell a Savannah's get up over time. >>Great announcement. Congratulations. Thanks for sharing the news and some commentary on it. This is really the big theme. You know what Cove in 19 and this pandemic has shown is massive acceleration of digital transformation and having the software and hardware out there that accelerates the heavy lifting and creates value around the data. Super valuable. Thanks for for doing that. Appreciate taking the time. Thank >>you so much. >>Yeah. Thanks for having >>us. Okay, this is the cubes coverage at 80. Best reinvent next three weeks. We're here on the ground. Will remote. We're live inside the studio. We wish we could be there in person, but it's remote this year. But stay tuned. Check out silicon angle dot com. Exclusive interviews with Andy Jassy and Amazon executives and the big news covering. They're all there in one spot. Check it out. We'll be back with more coverage after this break. Thanks for watching. Yeah.
SUMMARY :
It's the Cube with digital coverage Part of the three weeks we'll be covering wall That's the theme from Andy's keynote. Yeah, absolutely. the first time from next year. What is it customers looking for here is or specific use case? So we have companies like Pinterest, you know, for the data center and cloud for training and inference deep learning models. So it's the hardware software. So overall, improving the cost performance is achieved through efficiency, Is that the theme here is this. the ability to kind of build out a ecosystem beyond what you know judicially Well, here is the question that I want to get to. be able to take their existing models and with minor changes to the training strips to be able the Havana developer community. is on Amazon, obviously, in their instances. to get up and running with right, we'll support, you know, all different types of work flows. Then can that layer on the use cases? in our get up for that and will be growing at least a Z you can imagine. Put a plug in for how What's all the coordinates? So you will be kicking off a preview early next year. Yes, and you'll find more information on Havana. This is really the big theme. We're here on the ground.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Andy | PERSON | 0.99+ |
2016 | DATE | 0.99+ |
Andy Jassy | PERSON | 0.99+ |
Jason Kapoor | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Andy Jackson | PERSON | 0.99+ |
Havana Labs | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Tom | PERSON | 0.99+ |
Toyota Research Institute | ORGANIZATION | 0.99+ |
Chetan Kapoor | PERSON | 0.99+ |
last year | DATE | 0.99+ |
today | DATE | 0.99+ |
Havana | ORGANIZATION | 0.99+ |
next year | DATE | 0.99+ |
Intel | ORGANIZATION | 0.99+ |
Utah | LOCATION | 0.99+ |
Gowdy | PERSON | 0.99+ |
Gandhi | PERSON | 0.99+ |
One | QUANTITY | 0.99+ |
14, 500 | QUANTITY | 0.99+ |
Havana | LOCATION | 0.99+ |
three weeks | QUANTITY | 0.99+ |
Habana Labs | ORGANIZATION | 0.98+ |
10 parts | QUANTITY | 0.98+ |
ORGANIZATION | 0.98+ | |
first | QUANTITY | 0.98+ |
one | QUANTITY | 0.98+ |
one spot | QUANTITY | 0.97+ |
intel | ORGANIZATION | 0.97+ |
Intel Folks | ORGANIZATION | 0.97+ |
eight time | QUANTITY | 0.97+ |
early next year | DATE | 0.97+ |
this year | DATE | 0.97+ |
two great guests | QUANTITY | 0.97+ |
100 gigabit | QUANTITY | 0.97+ |
J Town | PERSON | 0.97+ |
first time | QUANTITY | 0.96+ |
32 gigabyte | QUANTITY | 0.96+ |
Havana Intel | ORGANIZATION | 0.96+ |
Eitan Medina | PERSON | 0.96+ |
up to 40% | QUANTITY | 0.95+ |
pandemic | EVENT | 0.95+ |
Two | QUANTITY | 0.95+ |
one task | QUANTITY | 0.91+ |
Eso | ORGANIZATION | 0.87+ |
Savannah | LOCATION | 0.86+ |
next three weeks | DATE | 0.86+ |
day one | QUANTITY | 0.84+ |
A. W S | ORGANIZATION | 0.82+ |
Gowdy | TITLE | 0.81+ |
Medina | ORGANIZATION | 0.78+ |
80 | QUANTITY | 0.73+ |
2020 | DATE | 0.69+ |
Teton | PERSON | 0.69+ |
three | QUANTITY | 0.65+ |
Thani | ORGANIZATION | 0.64+ |
them | QUANTITY | 0.6+ |
synapse | TITLE | 0.56+ |
2020 | TITLE | 0.55+ |
Thio | ORGANIZATION | 0.54+ |
Invent | EVENT | 0.53+ |
eso | ORGANIZATION | 0.51+ |