Pierluca Chiodelli & Gil Shneorson, Dell Technologies
>>Welcome back to Dell Technology World. 2021. Del Tech World. The virtual edition. My name is Dave Volonte. We're gonna talk about the Edge. Very excited to invite Pierluigi Deli, who's the Vice President, Product management for the Edge portfolio. Adele and Gil Schwarzman, who is the Senior Vice President. Edge portfolio, also with Dell Technologies Gentlemen. Great to see you. Welcome to the cube. >>Thank you. Thank >>you. You see you, >>Yeah, great to see you guys to which we were face to face, but maybe maybe in 22 Gil, let's start with you. The edge is very exciting. Uh, it's, you know, not really defined, it's very fragmented, but it's there, you know, it's kind of, you know, it when you see it, what do you get excited about when you think about the edge? >>Yeah, I think uh there's two elements. The first one is that we all live at the edge. In other words, the areas we deal with our around us every day will show up um when we uh, you know, when we consume when we drive. So it's a, it's a very physical type of activity. We know it's there. What's really exciting motive to me is that you started with talking about fragmentation right on the bet. Um, it is a great opportunity for the technology is to add value um because it's so fragmented because it's so new because it has developed and evolved the way it is. We see an amazing opportunity for us to add much more value than we do today and solve problems that have yet to be solved in the industry. >>And it's an exciting, it's almost like an infinite playground for a technologist. You >>dave, I think that's exactly what we find out. The Edge is very exciting. There is a lot of motion, especially due to the pandemic and other things. Big factor that accelerate innovation at the edge but this is an inorganic acceleration and what it kills for one of the most of our customer is also confusion, right? They need to apply multiple solution but not very organized. So you try to solve the outcome like having the right production on the, on your line because demand is surging but you don't have an organic things to do that and solve the problem. So you see a lot of silence coming in for each one of the solution and that's what Gil was referring. That's a great opportunity for us as dealt with the breath of the portfolio we have and what our team that is a new team is focusing doing is to bring that idea to be able to consolidate multiple things at the edge and process things at the edge. >>We did a an event cube, had an event called the Cuban cloud and Q one and we had john Rosen and the title of segment was something like gaining the technology edge And we were kind of freaking out on, on the tech at the edge. Uh it might take away there was trying to like what is the edge? It's like, well it's the place where it makes most sense to process the data and so that brings up a lot of challenges. There are technical challenges and there are business challenges. I wonder if we could sort of dig into those a little bit. How do you guys look at that? Maybe gil you want to start maybe on the business side and then we can dig a short, right >>the way things evolved if you think about it, um, at the edge of very vertical lesson because of that they're very use case driven And so in every industry possible you start with some business person making a decision whether they have a need or they want to grow their business. And so for example they would buy an applying to do fraud protection in retail or detection retail or they will apply an application to medical robotics in the factory. And it would come with its own gateway in plant compute in a cloud portal and then you do it again and again and again every time you have a business opportunity all of the sudden you have this proliferation of I. T. Type equipment at the end where it's it's the worst place to have it really because you don't have the right I. T. Resources and you are um in the need to protect it in a much more um in a different way than you do in a data center. And so all of that brings to bring us to a point that you know we see an opportunity to simplify. Um And so not only simplification and this is you know simplification or simplicity is the most important driver for any I. T. Purchase. Um Things that are simple are the easiest that the most economical to operate the next demand that we see from a customary security because things are at the they have a much more um you know extended attack surface um they need to be connected to networks, they need to be connected without I. T. Staff. So if you can simplify insecure you can really unlock amazing value by processing data where closely to where it's created without it. You know we were seeing this opportunity as businesses but we can we get to it because there are so those two hurdles in front of us. >>So when you say thank you for that bill, when you think about, when you hear you hear a lot about AI influencing at the edge and and if you think about AI today much of the work is modeling, it's done in the cloud, but you're not going to be doing A i influencing in real time in the cloud, you know, take the autonomous vehicle example, so that brings some some technical challenges. Um, there's obviously data challenges. I'm curious as to how you think about that. I mean we always talk about how much data is going to be persisted, I think Tesla persists like five minutes of data, right? But some of it is gonna go back, that's true, but a lot of it is going to be processed real time and that's just really different than the way we typically think about. Yeah, >>absolutely. So at the Edge, especially in manufacturing, we see right now or in a uh, another use case, it's very important to get the outcome very quickly. Now. You don't use that a deep learning model for that. You need to just understand, for example, in a computer vision use case where you take the image of your production line, you actually to your point dave you not keep those image when you keep the image where you have the defect. But you need to process that. Ai Ml needs to be intelligent enough to understand that you have a defect and send that image them to the club. So the search of the data at the edge is a very important factor and why you need to process data, the Edge because your point, you can't wait to send to the cloud and I'm waiting right? Um, Tesla is a clear example of that all the autonomous car where you need to react instantaneously to change. But in manufacturing for example that is our focus for now is for example the robots that if you need to optimize the robot, you need to have a immediate understanding of where the pieces are and when they need to put in the tolerance need to be act immediately. Otherwise you come out with the thousands of pieces that they are not in the right tolerance. So at the end of the day, what we see is not only the search of the need of processing ai ml to the edge but also the need of a new type of compute at the edge. So in the past was just Gateway and you get the gate when you send the data to the cloud. Now it's a form of a new computer that come as also GPU capability and other things to process the data. So very important. And I think the Dell especially we are very focused on that because is uh is really where the customer need to extract the value. >>Thank you. And Gil I want to get into the unique value proposition to tell what makes you distinct. And it's uh I infer from your comments, your strategy you said is to simplify and so I see two vectors. There. One is to simplify at the edge. The other is to where we're needed, connect that edge, whether it's on prem public cloud across cloud, that kind of simplification layer that abstracts the complex, the underlying complexity. Uh Maybe you could talk about your strategy and what makes you guys different. >>Sure. Um We've been talking to a, well we always talk to our customers and we've been doing business at the edge for many many years. Um You know let's call it coincidental were very large company we have reached, we serve our customers so when they decide to buy something for their you know environment, they come to us as well as other vendors and we win a percentage of the time based on our market share. Um But when we decided to take another look at how can we be even more relevant? We started talking to a lot of them great depth. And what would we do we discovered was the problem I talked about before, the problem of complexity, the problem of security and the problem of you know choice. And so our focus is to do what we do best. We at the end of the day we're an I. T. Company. Um and our our customers for the most part our I. T. People and we see them dragged more and more into edge projects because customers need to connect edge to the network and they need to security and that's how it starts. And so those worlds of I. T. And OTR coming together and their coming together applying best practices which is exactly what we know how to do. And so because of that we think that they need to think about architecture versus unique silent solutions architecture can support multiple use cases that can grow with time, consolidate more and more use cases as they grow. Simplify what they do by applying you know tried and true or tried and true best practices in a secure manner. So the deal approach would be doing that taking a more architectural approach to the adverse as a use case and then just like you predicted um meet the customers where they are from an application stand book. And so we we know that a lot of applications are growing and development on a hyper scale or public clouds. We would like to connect to those. We would like to allow them to keep working as they have except when they run into the edge. Think about environments that could consolidate multiple workloads and not solve it for each one at the same time. And so that would be our overall approach. That's what we're working on. >>Yeah. Okay. So that horizontal layer, if you will uh to to to serve many many use cases, not just you're not gonna go a mile deep into one and be the expert at some narrow use case. You want to be that horizontal platform. But at the same time, look, I wonder does does that call for more program ability as we over time of the of the products to to really allow people to kind of design in that flexibility if you will build my own. Uh is that something that we can expect? >>Yeah, absolutely. So uh we spoke a little bit about this before the interview and the things that is very important is compose ability starting from a very small from factor to the cluster and then expand to the cloud is a fundamental things and a trend that we see. The fact that you can compose the infrastructure um starting from a small gateway that is changing in this market, right up to the cloud and be able to use the same layer that allow you to run the same application is the fundamental things and we are working on that. Um we are working on this vision and our strategy is really to be able to be transparent but provide the right building block to do all the use case that they are required where the data are. So we again, not only meeting the customer but meeting where the data are, what the customer wants out of those data. So that's a fundamental things. And you know, we we have project Apex. So obviously we are plugging into the project apex from an edge point of view, will allow the customer to have this unique experience to go in Apex and also deploy the edge infrastructure that is needed. So that's that's we started right now with that. So we will touch later, but that's the first building block of that journey. >>Actually, let's touch now you've got some news around Apex and and and and talking what are you announcing? So >>we are very exciting because as I said, our team is, it's pretty new and um, it's a very important investment that Dell makes uh not only in us as a team but as a motion. Um, so we are announcing a reference architecture with PTC. PTC is the one of the biggest company for actually based here in boston uh for manufacturing and reference architecture will be run on based on apex private cloud so the customer can go to the portal, order, order apex private cloud and deploy deploy PTC on top of that. So, very important things is that the first step in this journey and but it's an important, very, very important steps. So we want to thank you also PTC to allow us to work with them. Um, we have other stuff as well that we are announcing. Um, I don't know if you are familiar but we have a very unique streaming data platform, um, streaming data platform that can stream multiple data collected from Gateway from every place. And uh it's a need obviously when you need to process data in real time, very important to have a streaming, what we're doing with the new streaming data platform approach is the ability to deploy single note. So it can be very appealing for the edge and up to free notes and last but not least gil if you want to speak about our other partnership is very important. >>Sure. Um once we started looking more in depth into manufacturing, we discover that this market is today served by combinations of um oT vendors, people who make equipment? S eyes, people who consult on integration and um and you know, a lot of SVS that make up this ecosystem and people like ourselves. And so one of the things that we decided to do is partner with accenture, accenture Industry X practice to bring our joint value to customers. We started by investing in in a five G lab. They have four industry act. So you know the usage of five G. Manufacturing industry and we will still we will expand that and work on that as a as a joint offer for our joint customers going forward. So we're really excited about this because we feel that consolidation needs to happen not only technology but also in the partnerships, we need to partner if you want to bring true value to our customers and that's the first step, >>awesome. That's great. So a couple of comments on that. So it's funny, we did the live work show in the cube a couple years ago. PTC is a big, big event and it was like it was the edge and I remember looking around saying where's all the vendors? So that's great to see you guys leaning in like that parallel to the streaming platform. Tell me more about that. What's the tech behind it? >>Uh So the streaming data platform is a project that we start a couple of years ago is actually uh start from open source Provida. Um it's uh it's a very interesting technology where you can stream multiple data, it is not a traditional storage, ah use a technology that can ah really collect thousands of different streams and that's very important when you need to mind the data, bring the data um in the structure data in a inefficient that you, you can process them at the real time. It's very important. So um there are very cool use case of that. But now that we look at the edge, this is make more and more tangible sense because we have a lot of partners that they're working with us, especially to extend when you have all this sensor, you bring the data to the gateways and from the gateways then you can use data streaming platform to collect all these dreams and then you can easily process them. So it's a very fundamental technology, we are very proud of that. Um as I said, our enterprise version uh is getting more and more and now we can land this on different architecture, so it is, it can be backed up by an Iceland. Uh it can be also on different storage type now and as I said, we're looking now to bring from a what was a data center kind of structure down to the edge because now we can put a single node up to three notes, >>it makes a lot of sense. Is this like a Kafka based thing or open source or is it something you guys built or a combination? >>It's a combination. We actually project. The project is an open source project, but we did that, we start this many years ago and um he works with Kafka, but he's not Kafka. So it's, it's a he has plugging that can work with Kafka and all the other things and, and it's very easy to deploy. So it's a very, very, very important. And the other things is the scalability of this platform. >>I mean, it sounds like the kind of thing you had in the labs and you said, OK, this is going to be important. That boom all of a sudden the market comes to you as if you pop it right in. And then of course, the accenture of relationship deep, deep industry expertise, so that makes a lot of sense. 55 Gs happening a different world the next 10 years in the last 10 years isn't it? What is it about manufacturing? Why why did you start there? >>I can take this. Um We looked at where the opportunity was from two perspectives. One is where the opportunity, what the opportunities to sell, even the other one obviously comes with it because there is an opportunity to have and manufacturing today at the edges about 30 of the opportunity in sales according to NBC but more so it's been around for the longer time and so they it's very it's maturing um it's the most demanding. Um and you know, it's got very long horizons of investment and what we did was we figured that if we can solve problems for industry we can then extend that and solving for everyone years. Because this would be the toughest one to solve and we like challenge. And so we decided to focus and go deep. You said it before? Well, our approach is definitely horizontal approach. We cannot take a horizontal approach without vertical izing and understand specific needs. So nobody can avoid doing both at the same time. You need to understand. But you also want to solve it in a way that doesn't proliferate the silos. So that's our role. We will understand what we will make it more generic so other people can never get later on >>and David, if I cannot. Uh I think the manufacturing is also very exciting for us as a technologist, right? Uh and uh Dell technology as in the name the technology. So it's very exciting because if I look at manufacturing, we we are really in the middle of a industrial transformation. I mean it's a new era. Um If you think about um nobody care in the past to connect their machinery with that the F. P. L. C. To the network. All of this is changing because the life that where we live right now with the pandemic with the remote working with the fact that you need to have a much more control and be able to have predictive matters. So you're not stopping your manufacturing is pushing the entire manufacturing instrument industry to connect this machine and with the connectivity of this machinery you get a lot of data. You get also a lot of challenge. For example security. So now that's the place where connectivity brings the I. T. Aspect in and U. T. Guys now they're starting to speak with because now it's a more complex things right? It's not any more computerized competitor eyes only to one machinery specific is the entire floor. So it's a very interesting dynamics >>is the connection between that programmable logic controller and the Dell solution is you mentioned to secure better security and I presume it's also to connect back to whatever the core or the cloud etcetera. Is it also to do you know, something locally? Does it improve? Is their value add that you can provide locally? And what is that value add? >>Absolutely. So the value, as I said, um if you think right in the past right, you have a machine that uh, probably stay in the manufacturing for 2025 years, then you have an artwork attached to that machine that it is the P. L. C. About 11 years. The guy that he knows better about that machine is actually not the software component on. But he's the guy that has been working on that machine for 15 years now. How you translate that knowledge To a learning algorithm that actually can do that 4000 of machine. And and that's really the key right. You need to centralize information, process those information but not in the cloud, not in the central data center, but on the manufacturing floor. And you need to have a way to represent these things in a very simple way. So the plant manager can take action or the or the guy that is responsible for the entire line can take action immediately. And that's where the changes is not anymore to is trying to extend that knowledge to multiple machine multiple floor and try to get this change immediately. So that's really >>so the PLC doesn't become a general purpose computer or even necessarily the Uber computer. It connects to that capability because that enables data sharing across clouds and that's >>enabled the entire things. You know, you you can't do a model just with one source. You need to have multiple sources. Um, and also think about the manufacturing is changing not only for the machinery, but people that they build new manufacturing right? They need to be smart building. They need to have a technology for being more green solar energy consumption. So the manufacturing itself is mean five or six different things that you need to solve. It's not just the machine. So this idea of the silence environment is started to collapse in one and that's why it's important for us to start from a vertical, but also in the manufacturing, you already see this will expand to multiple things. Also like smart building another thing because they need it. >>Yeah. The red guilt to your point manufacturers like the Big Apple. If you can make it there, you can make it anywhere and you've got adjacent seas, you can, you know, you can take the learnings from manufacturing and apply them to those adjacent industries. Uh, give us the last word. >>Um, look, usually when we talk at the technologies world, we talked to an I. D. Audience and we were, we're thinking this year that the way to talk about edge, at least with the people who traditionally buy from us is exposed them to the fact that they are more and more are going to be responsible for projects. And so our advice would be our hope that they would partner with us to think ahead. Just like they do with data center with their cloud strategy, think ahead as they think about their edge and try to set up some architectural guidelines. So when they do get the request, they're ready for it and think about what they think about the best practices that they applied, all of that is coming to them. They need to be prepared as well. And so we would like to partner with all of our customers to make them ready and obviously help them simplify secure, consolidate as they grow. >>Well guys, thank you, I learned a lot today. I you made a lot of progress. You know, this is the hallmark of Dell, right? It's a very high, let me make sure I get this right, very high due to say ratio right. You guys talked about doing this, you know, a couple a couple of years ago, uh, and you've made a lot of progress and I really appreciate you coming in the cube to explain the strategy. It makes a lot of sense. And so congratulations and uh, good luck in the future. >>Thank you. >>All right. And thank you for watching everybody. This is Dave Volonte for the cubes, ongoing coverage of Del Tech World 2021. The virtual edition. Keep it right there, right back, >>mm.
SUMMARY :
Welcome to the cube. Thank you. You see you, Yeah, great to see you guys to which we were face to face, but maybe maybe in 22 Gil, What's really exciting motive to me is that you started with talking about fragmentation right on the bet. And it's an exciting, it's almost like an infinite playground for a technologist. So you see a lot We did a an event cube, had an event called the Cuban cloud and Q one and we that the most economical to operate the next demand that we see from a customary security I'm curious as to how you think about that. example of that all the autonomous car where you need to react instantaneously to change. across cloud, that kind of simplification layer that abstracts the complex, And so our focus is to do what we do best. in that flexibility if you will build my own. that allow you to run the same application is the fundamental things and we are working on that. So we want to thank you also PTC to allow And so one of the things that we decided to do is partner with accenture, accenture Industry So that's great to see you guys leaning the gateways then you can use data streaming platform to collect all these dreams and then you can Is this like a Kafka based thing or open source or is it something you guys built or a combination? And the other things is the scalability of this platform. the market comes to you as if you pop it right in. Um and you know, it's got very long horizons of investment and the past to connect their machinery with that the F. P. L. C. Is it also to do you know, something locally? So the value, as I said, um if you think right so the PLC doesn't become a general purpose computer or even necessarily the Uber but also in the manufacturing, you already see this will expand to multiple things. you can make it anywhere and you've got adjacent seas, you can, you know, you can take the learnings from manufacturing and apply the fact that they are more and more are going to be responsible for projects. You guys talked about doing this, you know, a couple a couple of years ago, uh, And thank you for watching everybody.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
David | PERSON | 0.99+ |
Dave Volonte | PERSON | 0.99+ |
Adele | PERSON | 0.99+ |
Gil Schwarzman | PERSON | 0.99+ |
five | QUANTITY | 0.99+ |
Pierluigi Deli | PERSON | 0.99+ |
15 years | QUANTITY | 0.99+ |
Uber | ORGANIZATION | 0.99+ |
Dell | ORGANIZATION | 0.99+ |
five minutes | QUANTITY | 0.99+ |
NBC | ORGANIZATION | 0.99+ |
john Rosen | PERSON | 0.99+ |
Dell Technology World | ORGANIZATION | 0.99+ |
Gil Shneorson | PERSON | 0.99+ |
Tesla | ORGANIZATION | 0.99+ |
two elements | QUANTITY | 0.99+ |
Dell Technologies | ORGANIZATION | 0.99+ |
two hurdles | QUANTITY | 0.99+ |
2021 | DATE | 0.99+ |
one source | QUANTITY | 0.99+ |
first step | QUANTITY | 0.99+ |
Big Apple | ORGANIZATION | 0.99+ |
two perspectives | QUANTITY | 0.99+ |
Gil | PERSON | 0.99+ |
One | QUANTITY | 0.99+ |
single note | QUANTITY | 0.99+ |
today | DATE | 0.98+ |
Pierluca Chiodelli | PERSON | 0.98+ |
both | QUANTITY | 0.98+ |
Dell Technologies Gentlemen | ORGANIZATION | 0.98+ |
two vectors | QUANTITY | 0.98+ |
thousands of pieces | QUANTITY | 0.98+ |
pandemic | EVENT | 0.98+ |
first one | QUANTITY | 0.97+ |
this year | DATE | 0.97+ |
Apex | TITLE | 0.97+ |
About 11 years | QUANTITY | 0.97+ |
boston | LOCATION | 0.97+ |
I. T. | ORGANIZATION | 0.96+ |
Del Tech World | ORGANIZATION | 0.95+ |
about 30 | QUANTITY | 0.94+ |
OTR | ORGANIZATION | 0.94+ |
each one | QUANTITY | 0.94+ |
one | QUANTITY | 0.93+ |
Kafka | PERSON | 0.93+ |
couple of years ago | DATE | 0.93+ |
four industry | QUANTITY | 0.92+ |
U. | LOCATION | 0.91+ |
six different things | QUANTITY | 0.89+ |
Del Tech World 2021 | EVENT | 0.88+ |
single node | QUANTITY | 0.88+ |
Edge | ORGANIZATION | 0.88+ |
Kafka | TITLE | 0.87+ |
a couple of years ago | DATE | 0.85+ |
2025 years | DATE | 0.85+ |
first building | QUANTITY | 0.85+ |
Iceland | LOCATION | 0.84+ |
three notes | QUANTITY | 0.83+ |
couple years ago | DATE | 0.82+ |
thousands of different streams | QUANTITY | 0.82+ |
next 10 years | DATE | 0.81+ |
4000 of | QUANTITY | 0.81+ |
a mile | QUANTITY | 0.81+ |
one machinery | QUANTITY | 0.77+ |
apex | TITLE | 0.76+ |
last 10 years | DATE | 0.73+ |
Provida | ORGANIZATION | 0.73+ |
project apex | TITLE | 0.68+ |
couple | DATE | 0.64+ |
years | DATE | 0.62+ |
F. P. L. | ORGANIZATION | 0.58+ |