Fireside Chat Innovating at Allianz Benelux with the Data Cloud
>>Hey, Sue, my great to see you. Welcome to the Data Cloud Summit. Super excited to have you welcome. >>Hey, Chris. Very nice to be there. Thank you for having me >>tell us a little bit about alien spending lakhs. Tell us a little bit about yourself and your role. Italy and Benelux >>aliens, Benelux zits. Basically the aliens business in the region. Belgium, Netherlands and Luxembourg. We serve the needs of the customer here by securing the future. We actually do both PNC asses. We call it properly and casualities in life investment management and health. We do retail, uh, small and medium enterprises. I am a regional chief Data and Biggs, officer for aliens. Benelux. I report directly to the regional CEO my job here in alliance to basically drive the data and analytics agenda for aliens. Vanilla, >>cinnamon. I understand you're getting your PhD in data science. It would be great for the audience to learn a little bit more about what's driving you to do that. And kind of what? What's most interesting to you about data science? A I m l >>the reason why I started to do this because there's so much relevance. Push that which is basically driving the agenda. We need to really look at the theoretical part off it as well. To kind of concrete eyes, Andi toe bring in a certain develop dependency, consistency, timelessness, etcetera. And obviously that which we're doing is very innovative. Here, Italians, monologues driven again by relevance and which is very good for the business. But the timelessness needs to also be the sustainability the scalability needs also has to be given to this particular relevance driven topic so that we don't just create superficial impact. But we create a long lasting and everlasting impact in our competitive intelligence intelligence that building against monologues. >>That's awesome. I mean, thanks for sharing that. So So I think. Cinnamon. When when you and I met back in March 1 of the big things that you were you were considering is, you know, uh, signing up with snowflake and becoming a customer. But part of that journey was convincing Ali on spent lakhs to move to the cloud in your journey. So kind of it would be great for you to explain to the audience. You know what that journey has been like. Was it hard to convince your organization moved to the cloud, What hurdles might you have seen in your journey to the cloud? >>It was not very different to any kind of a change on the kind of effort that you need to put in a change for a normal status go set up that which exists today. So, of course, in any kind of a change, your status could change or challenge that which you bring in. There is a considerable, uh, effort that you need to put in. And it's also your responsibility to basically do that because if you don't have that energy or if you don't have that commitment and you are not able to sustain the energy of the commitment that you show in the new agenda that you bring in, then probably you're not gonna be there to see the change through. Of course, it waas difficult, obviously, because, uh, there is already existing status. Go. And there we have a lot of benefits by moving to cloud, and obviously the benefits seems very interesting. But there is skepticism, and we s alliance is from a group perspective, and Benelux perspective is full of very, very clear on a point that we cannot take advantage off the data that which we have. We want to ensure that privacy is by design. Security is by design. And we give utmost care to our customer data. Um, mhm. And all of this basically brings in tow the concept off. Okay, what is it about moving to the cloud and where are we getting exposed? Where should we basically put together? A security by design privacy with some kind of concepts before we do it and etc. Are you ready? Can be ensured that we still keep the customers data A to a place where we basically can't bust. Well, those are the things that which had to be explained. A certain level of sensitization had to be created. A certain level of awareness. Uh, then the consideration part. Yeah, all of this basically takes its own cycle. >>Awesome. Thanks for sharing that. So we're super excited to call Ali on spending lakhs of customer. Now, what are you excited about with snowflake? And I know that you're you're looking at snowflake. Is this kind of data cloud and data cloud transformation project. Tell us a little bit more about, you know, What? What excites you about Snowflake? How you think you might use stuff like, um, in this kind of transformation of Ali on spending lakhs? >>I know that snowflake is brought to us as a product by you guys, but we look at snowflake is a kind off message. We are breaking down the silos. Literally. Onda. We look at snowflake as a kind often agent to do this. Uh, this is something that which is very important to understand that whatever you do with the organizational level, you still end up with a situation where you kind of reinforce the silos. But, snowflake, we have an opportunity here to even challenge that on break the data silos. Once the data silos is broke, you basically improve the find ability of data. You basically improve the understand ability of the data accessibility of the data interpret ability on everyone sees pretty much the same truth. And that's how the silos disappear. We're very, very excited about the journey that which, which we have in front of us because we're pretty new in it. In the sense that we are going toe haven't very exciting journey as we progress, we are also looking forward to see how Snowflakes road map is going to take us to the point off arrival, as I would call it in our own data revenge in >>today we live in this kind of multi cloud, multi cloud application world. What are some of the concerns you have as you transition from, you know, having stuff in a data center to using multiple clouds to using multiple tools? You know, what's what's some of the challenges you for? See having? What are the things that you're looking for from Snowflake to help you? Um, in that journey, >>there is always a reason why we basically make a change. And the reason is always mostly towards more efficiency, effectiveness and so on and so forth, right? I mean, basically, we have Catholics challenges on this. Catholic challenges can also be addressed with this move to the cloud, except but what We should be careful and should avoid us that the cost that which we have in terms of Camp X is just does not get re attributed into another cost called articulation, cost or arbitration cost. So having a multi cloud is definitely a challenge until you have a kind off orchestrator because we are doing a business here and we don't want to care about pretty much the orchestration. The are part off it on. This needs to be taken taken into account because there is this application cloud and there is this infrastructure cloud. You can have as many clothes as you want, whatever function that which is is supporting you. But that has to be encapsulate, er abstracted away from us so that we're able to focus on the business that we're here to do. And these are certain constraints that I really had as I was thinking about multi cloud or hybrid cloud and I was even focusing on how am I going toe orchestrate all of these different things Eso that you know, you kind of feel abstracted from those things. So well, those are the constraints that I think we still have toe conquer as we progress. I think we are evolving very fastly in that area. And you are the experts in that area, and you know exactly what you're doing there. But for me, what is very important is that uh, yeah, it gets abstracted away from us, and we just get the scalability that we need the elasticity that which we need the security by design the privacy by design on. Then I think this is perfect for us. >>Awesome. So? So I think a lot of customers that are listening to this are about to jump on the same journey that you're you're embarking on. What, is there a specific use case that you decided to kind of go? You know, you know, all in on Snowflake. What was the what was the kind of the initial driver for you to say? Hey, then the business driver on you saying, Hey, I'm gonna use this use case to drive transformation within within Ali and spend lakhs, >>I think virtualization, uh, it's the keep point that comes up the top of my head the moment you speak about what even did drive me to think about snowflake as an option, right? Why virtualization? Because obviously I don't want to move huge amount of data from left, right and center, because you know that when you start optimizing such a kind of an architectural, you end up creating pockets silos, which is totally against what we want to do. We want to break silos. But in the end, just because off the infrastructure needs in the computational needs, etcetera on the response rates and stuff like that, you start to create silos, bring with virtualization and especially with the performance that with Snowflake and provide us in that area. Now it seems like a possibility that we will be able to do that. I mean, it was not something that we just thought about, let's say, a few years back, but now it's definitely possible virtualization. It's one of the key points, but when you talk in the terms of use cases, we Italians monologues do not look at use cases. Actually, we look at business initiatives, so the reason why we don't look at it as use cases is because use cases used, kind off a start and stop. But we were not in the game. Off use cases were in the game off delivering future, that which our customer really wants to be secured. That's what the business we are in and that there are no use cases. There are initiatives there that which matches to the agenda for our customer. So when you start thinking about like that one of the most important things that snowflake offices is an opportunity is to obviously create on environment, so to say, on elastic scalable, uh, situation with the computer that which we need that which basically matches one on one with the agenda for our customer. So what I mean is the data warehousing on the cloud through data warehousing on the cloud is what waas on off our driving thought processes for We did not want to go and say that we will just do, uh, do Data Lake. We will just do data hub way don't belong toe religion. So to say, we basically are very opportunistic in this approach where we say we will have a data lake. We will have a data warehouse. We will have a data hub on. We will integrate it, you know, very a semantic way that which will match to the agenda of the customer and treat the customer as a sort of centric point. >>That's great. I appreciate that. So So, um, Suderman, thank you so much for for, you know, joining us today. Um, And again, thank you for your partnership. We snowflake is super excited. I'm I'm super excited Thio participate in this journey with you. Is there anything that you kind of like to let the audience know before we wrap up? >>Very happy about the way we started Toe talk. Converse. I think the proof of value as we did was a very good engagement with you guys. I mean, you guys were really there. I really appreciate the way that you took the proof of what I've worked with many other windows in terms of proof of value. But I think you had a marked difference in the way you you brought Snowflake. Tow us. Thank you so much and keep doing the good work. >>Thanks so much cinnamon for the partnership and were super pumped on, you know, making you very successful in your project. So thank you so much. >>Thank you.
SUMMARY :
Super excited to have you welcome. Thank you for having me Tell us a little bit about yourself and your I report directly to the regional CEO my job to learn a little bit more about what's driving you to do that. But the timelessness needs to also be the sustainability the scalability back in March 1 of the big things that you were you were considering is, you know, are not able to sustain the energy of the commitment that you show in the new agenda that you bring in, Tell us a little bit more about, you know, What? I know that snowflake is brought to us as a product by you guys, but we look at snowflake is a kind off What are some of the concerns you have as you transition from, you know, Eso that you know, you kind of feel abstracted from those things. of the initial driver for you to say? computational needs, etcetera on the response rates and stuff like that, you start to create silos, Is there anything that you kind of like to let the audience know before we wrap up? I really appreciate the way that you took the proof of what I've worked with many other windows in terms of proof Thanks so much cinnamon for the partnership and were super pumped on, you know,
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Bob Ghaffari, Intel Corporation | VMworld 2019
>> live from San Francisco, celebrating 10 years of high tech coverage. It's the Cube covering Veum World 2019. Brought to you by VM Wear and its ecosystem partners. >> Welcome back. We're here. Of'em World 2019. You're watching the Cubans? Our 10th year of coverage at the event. I'm stupid. And my co host this afternoon is Justin Warren. And happy to welcome back to the program. Bob Ghaffari, who's the general manager of the Enterprise and Claude networking division at Intel. Bob, welcome back. Great. Great to be here. Thank you. S Oh, uh, you know, it's a dressing. And I think that last year I felt like every single show that I went to there was an Intel executive up on the stage. You know, there's a way we talked about. You know, the tic tac of the industry is something that drove things. So last year? Ah, lot going on. Um, haven't seen intel quite as much, but we know that means that, you know, you're you and your team aren't really busy. You know a lot of things going on here. VM worldwide. Give us the update since last we spoke. Well, you know, um >> So I think we have to just go back a little bit in terms of how until has been involved in terms of really driving. Just hold this whole network transformation. I want to say it started about a decade ago when we were really focused on trying to go Dr. You know, a lot of the capabilities on to more of a standard architecture, right? In the past, you know, people were encumbered by challenging architectures, you know, using, you know, proprietary kind of network processors. We were able to bring this together until architecture we open source dp decay, which is really this fast packet processing, you know, library that we basically enabled the industry on. And with that, there's basically been this. I want to say this revolution in terms of how networking has come together. And so what we've seen since last year is you know how NSX via Miranda sex itself has really grown up and be able to sort of get to these newer, interesting usage models. And so, for us, you know what really gets us excited is being really involved with enabling hybrid cloud multi cloud from a network perspective. And that's just what really gets me out of bed every day. Yeah, An s >> t n is, I think, gone from that early days where it was all a bit scary and new, and people weren't quite sure that they wanted to have that. Whereas now Stu is the thing, it's people are quite happy and comfortable to use it. It's it's now a very accepted way of doing networking. What have you noticed about that change where people have gone? Well, actually, it's accepted. Now, what is that enabling customers to do with S T. N. >> You know, um I mean, I think what you know S Dan really does. It gives you a lot of the enterprise customers and cloud customers, and a lot of other is really the flexibility to be able to do what you really need to do much better. And so if you can imagine the first stage, we had to go get a lot of the functions virtualized, right? So we did that over the last 10 years, getting the functions virtualized, getting him optimized and making sure that the performance is there as a virtual function. The next step here is really trying to make sure that you know you weaken enable customers to be able to do what they need to end their micro service's and feels. Or do this in a micro segmented kind of view. When and so um and also being in a scenario, we don't have to trombone the traffic, you know, off to be there, be it's inspected or, you know, our load balance and bringing that capability in a way, in a distributed fashion to where the workloads Neto happen. >> Yeah, who you mentioned micro segmentation there, And that's something which has been spoken about again for quite a while. What's the state of play with micro segmentation? Because it some customs have been trying to use it and found it a little bit tricky. And so they were seeing lots of vendors who come in and say We'll help you manage that. What's the state of play with Michael segmentation From your perspective, >> you know, I would say the way I would categorize it as micro segmentation has definitely become a very important usage model. In turn, how did really contain, you know, uh, policies within certain segments, right? So, one you know, you're able to sort of get to a better way of managing your environments. And you're also getting to a better way of containing any kind of threats. And so the fact that you can somehow, you know, segment off, um, you know, areas and FAA. And if you basically get some kind of, like attack or some kind of, you know, exploit, it's not gonna, you know, will go out of that segmented area to to some extent, that simplifies how you look at your environment, but you want to be able to do it in the fashion that you know, helps. Ultimately, the enterprises managed what they got on their environments. >> So, Bob, one of things that really struck me last year was the messaging that VM were had around networking specifically around multi cloud. It really hearken back to what I had heard from my syrup reacquisition on. Of course. Now, Veum, we're extending that with of'em or cloud in all of you know, aws the partnerships they are false, extended with azure, with Google in non premises with Delhi emcee and others. And a big piece of that message is we're gonna be able to have the same stack on on both sides. You could kind of explain. Where does Intel fit in there? How does Intel's networking multi cloud story dovetail with what we're hearing from VM? Where Right, So I >> think >> the first thing is that until has been very involved in terms of being into, um, any on Prem or public clouds, we get really involved there. What were you really trying to do on my team does is really focusing on the networking aspects. And so, for us is to not only make sure that if you're running something on prime, you get the best experience on from but also the consistency of having a lot of the key instruction sets and any cloud and be able to sort of, ah, you know, managed that ballistically, especially when you're looking at a hybrid cloud environment where you're basically trying to communicate between a certain cloud. It could be on Prem to another cloud that might be somewhere else. Having the consistent way of managing through encrypted tunnels and making sure you're getting the kind of performance that you need to be able to go address that I think these are the kind of things that we really focus on, and I think that for us, it's not only really bring this out and, um improving our instructions that architecture's so most recently What we did is, you know, we launched our second generations Aeon Scaleable processors that really came out in April, and so for us that really takes it to the next level. We get some really interesting new instruction, sets things like a V X 5 12 We get also other kind of, you know, you know more of, like inference, analytic inference capabilities with things like Deal Boost that really brings things together so you can be more effective and efficient in terms of how you look at your workloads and what you need to do with them, making sure they're secure but also giving you the insights that you need to be able to make that kind of decisions you want from a enterprise perspective >> steward. It always amuses me how much Intel is involved in all of his cloud stuff when it it would support. We don't care about hardware anymore. It's all terribly obstructed. And come >> on, Justin, there is no cloud. It's just someone tells his computer and there's a reasonable chance there's an Intel component or two Wednesday, right? >> Isn't Intel intelligence and the fact that Intel comes out and is continuing to talk to customers and coming to these kinds of events and showing that it's still relevant, and the technology that you're creating? Exactly how that ties into what's happening in cloud and in networking, I think is an amazing credit to what? To Intel's ability to adapt. >> You know, it's definitely been very exciting, and so not only have we really been focused on, how do we really expand our processor franchise really getting the key capabilities we need. So any time, anywhere you're doing any kind of computer, we want to make sure we're doing the best for our customers as possible. But in addition to that, what we've really done is we've been helped us around doubt our platform capabilities from a solution perspective to really bring out not only what has historically been a very strong franchise, pressed with her what we call our foundational nicks or network interface cards, but we've been eldest would expand that to be able to bring better capabilities no matter what you're trying to do. So let's say, for example, you know, um, you are a customer that wants to be able to do something unique, and you want to be able to sort of accelerate, you know, your own specific networking kind of functions or virtual switches. Well, we have the ability to do that. And so, with her intel, f p g. A and 3000 card as an example, you get that capability to be able to expand what you would traditionally do from a platform level perspective. >> I want to talk about the edge, but before we go there, there's a topic that's hot conversation here. But when I've been talking to Intel for a lot of years out container ization in general and kubernetes more specifically, you know, where does that fit into your group? I mentioned it just cause you know that the last time Intel Developer forum happened, a friend of mine gave a presentation working for intel, and, you know, just talking about how much was going on in that space on. Do you know, I made a comment back there this few years ago. You know, we just spent over a decade fixing all the networking and storage issues with virtualization. Aren't we going to have to do that again? And containers Asian? Of course, we know way are having toe solve some of those things again. So, you >> know, and for us, you know, as you guys probably know, until it's been really involved in one of the biggest things that you know sometimes it's kept as a secret is that we're probably one of the bigger, um, employers of software engineers. And so until was really, really involved. We have a lot of people that started off with, you know, open source of clinics and being involved there. And, of course, containers is sort of evolution to that. And for us really trying to be involved in making sure that we can sort of bring the capabilities that's needed from our instructions, said architecture is to be able to do containers kubernetes, and, you know, to do this efficient, efficiently and effectively is definitely key to what we want to get done. >> All right, so that was a setup. I I wanted for EJ computing because a lot of these we have different architectures we're gonna be doing when we're getting to the edge starting here. A little bit of that show that this show. But it's in overall piece of that multi cloud architecture that we're starting to build out. You know, where's your play? >> Well, so for us, I mean the way that we look at it as we think it starts all, obviously with the network. So when you are really trying to do things often times Dedge is the closest to word that data is being, you know, realized. And so for us making sure that, you know, we have the right kind of platform level capabilities that can take this data. And then you have to do something with this data. So there's a computer aspect to it, and then you have to be able to really ship it somewhere else, right? And so it's basically going to be to another cloud and might be to another micro server somewhere else. And so for us, what really sets the foundation is having a scale will set a platform sort of this thick, too thin kind of concept. That sort of says, depending on what you're trying to do, what you need to have something that could go the answer mold into that. And so for us, having a scaleable platform that can go from our Biggers eons down to an Adam processor is really important. And then also what we've been doing is working with the ecosystem to make sure that the network functions and software defined when and you know that we think sets a foundation to how you want to go and live in this multi cloud world. But starting off of the edge, you want to make sure that that is really effective, efficient. We can basically provide this in a very efficient capability because there's some areas where you know this. It's gonna be very price sensitive. So we think we have this awesome capability here with our Adam processors. In fact, yesterday was really interesting. We had Tom Burns and Tom Gillis basically get on the stage and talk about how Dell and VM we're collaborating on this. Um, and this basically revolves around platforms based on the Adam Process sitter, and that could scale up to our ze aan de processors and above that, so it depends on what you're trying to do, and we've been working with our partners to make sure that these functions that start off with networker optimized and you can do as much compute auras little computer as you want on that edge >> off the customers who were starting to use age because it's it's kind of you, but it's also kind of not. It's been around for a while. We just used to call it other things, like robots for the customers who were using engine the moment. What's what's the most surprising thing that you've seen them do with your technology? >> You know what is interesting is, you know, we sometimes get surprised by this ourselves and so one of the things that you know, some customers say, Well, you know, we really need low cost because all we really care about is just low level. You know, we we want to build the deploy this into a cafe, and we don't think you're gonna be all that the price spot because they automatically think that all intel does is Biggs eons, and we do a great job with that. But what is really interesting is that with their aunt in processors, we get to these very interesting, you know, solutions that are cost effective and yet gives you the scalability of what you might want to do. And so, for example, you know, we've seen customers that say, Yeah, you know, we want to start off with this, but you know, I'm networking, is it? But you know what? We have this plan, and this plan is like this. Maybe it's a 90 day plan or it could be up to a two year plan in terms of how they want to bring more capabilities at that branch and want to want to be able to do more. They want to be able to compute more. They want to make decisions more. They want to be able to give their customers at that place a much better experience that we think we have a really good position here with their platforms and giving you this mix and match capability, but easily built to scale up and do what our customers want. Great >> Bob, You know, when I think about this space in general, we haven't talked about five g yet, and you know, five g WiFi six, you know, expected to have a significant impact on networking. We're talking a little bit about you know edge. It's gonna play in that environment. Uh, what do you hear from Augusta Summers? How much is that involved with the activities you're working through? You know, >> it's definitely, really interesting. So, uh, five g is definitely getting a lot of hype. Were very, very involved. We've been working on this for a while until it's, uh, on the forefront of enabling five G, especially as it relates to network infrastructure, one of the key focus areas for us. And so the way that we sort of look at this on the edges that a lot of enterprises, some of them are gonna be leading, especially for cases where Leighton see is really important. You want to be able to make decisions, you know, really rather quickly. You want to be able to process it right there. Five g is gonna be one of these interesting technologies that starts, and we're already starting to see it enabled these new or used cases, and so we're definitely really excited about that. We're already starting to see this in stadium experience being enabled by five G what we're doing on the edge. There's experiences like that that we really get excited when we're part of, and we're really able to provide this model of enabling, you know, these new usage models. So for us, you know the connectivity aspects five g is important. Of course, you know, we're going to see a lot of work clothes used for G as basically predominant option. And, of course, the standard wired connective ity of I p m pl less and other things. >> I want to give you the final word. Obviously, Intel long partnership. As we know you know, current CEO Pack else under, you know, spent a good part of his, you know, early part of career at Intel. Give us the takeaway intel VM wear from VM 2019. You know, I mean, we've had a >> long partnership here between intel on VM, where we definitely value the partnership for us. It started off with virtual light servers a while back. Now we've been working on networking and so for us, the partnership has been incredible. You know, we continue to be able to work together. Of course. You know, we continue to see challenges as we go into hybrid cloud Malta Cloud. We are very excited to how in terms of how we can take this to the next level. And, you know, we're very happy to be be great partners with them. >> All right. Well, Bob Ghaffari, thank you for giving us the Intel networking update. We go up the stack down the stack, Multi cloud, all out the edge, coyote and all the applications for Justin Warren. I'm stupid. Men will be back for our continuing coverage of the emerald 2019. Thanks for watching the Cube.
SUMMARY :
Brought to you by VM Wear and its ecosystem partners. Um, haven't seen intel quite as much, but we know that means that, you know, you're you and your team aren't And so what we've seen since last year is you know how NSX via have you noticed about that change where people have gone? you know, off to be there, be it's inspected or, you know, our load balance and And so they were seeing lots of vendors who come in and say We'll help you manage that. And so the fact that you can in all of you know, aws the partnerships they are false, extended with azure, with Google in non ah, you know, managed that ballistically, especially when you're looking at a hybrid cloud And come It's just someone tells his computer and there's a reasonable chance there's an Intel Isn't Intel intelligence and the fact that Intel comes out and is continuing to talk to customers and So let's say, for example, you know, um, you are a customer specifically, you know, where does that fit into your group? We have a lot of people that started off with, you know, open source of clinics and being involved of these we have different architectures we're gonna be doing when we're getting to the edge starting here. to word that data is being, you know, realized. off the customers who were starting to use age because it's it's kind of you, but it's also kind of not. You know what is interesting is, you know, we sometimes get surprised Bob, You know, when I think about this space in general, we haven't talked about five g yet, and you know, You want to be able to make decisions, you know, really rather quickly. As we know you know, And, you know, we're very happy to be be great partners with them. down the stack, Multi cloud, all out the edge, coyote and all the applications
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