Ed Macosky, Boomi | AWS re:Invent 2022
(upbeat music) >> Hello, CUBE friends and welcome back to Vegas. Lisa Martin here with John Furrier. This is our third day of coverage of AWS re:Invent. There are somewhere between 50,000 and 60, 70,000 people here. The excitement is palpable. The energy in the room has been on fire since Monday night. John, we love talking, we love re:Invent. We love talking about AWS and it's incredible ecosystem of partners and we're going to be doing that next. >> Yeah, I mean 10 years of theCUBE, we've been here since 2013. Watching it grow as the cloud computing invention. And then the ecosystem has just been growing, growing, growing at the same time innovation. And that's this next segment with the company that we both have covered deeply. Boomi is going to be a great segment. Looking forward to it. >> We have, we have. And speaking of innovation and Boomi, we have a four-time cube guests back with us. Ed Macosky joined us, Chief Innovation Officer at Boomi. And it's great to see you in person. >> Yeah, great to be here. Thanks for having me. >> What's going on at Boomi? I mean, I know up and to the right, continues we'll go this way. What's going on? >> Yeah, we continue to grow. We're really focused with AWS on the cloud and app modernization. Most of our projects and many of our customers are in this modernization journey from an enterprise perspective, moving from on-premises, trying to implement multicloud, hybrid cloud, that sort of thing. But what we're really seeing is this modernization choke point that a lot of our customers are facing in that journey where they just can't get over the hump. And a lot of their, they come to us with failing projects where they're saying, "Hey, I've got maybe this anchor of a legacy data source or applications that I need to bring in temporarily or I need to keep filling that." So we help with integrating these workflows, integrating these applications and help that lift and shift and help our customers projects from failing and quickly bringing themselves to the cloud. >> You know, Ed, we've been talking with you guys for many many years with theCUBE and look at the transition, how the market's evolved. If you look at the innovation going on now, I won't say it's an innovator's dilemma because there's a lot of innovation happening. It's becoming an integrator's dilemma. And I was talking with some of your staff. Booth traffic's up, great leads coming in. You mentioned on the keynote in a slide. I mean, the world spun in the direction of Boomi with all your capabilities around integration, understanding how data works. All the themes here at re:Invent kind of like are in that conversation top track that we've been mentioning and Boomi, you guys have been building around. Explain why that's happening. Am I right? Am I getting that right, or can you share your thoughts? >> Yeah, absolutely. We're in a great spot. I mean, given the way the economy's going today, people are, again, trying to do more with less. But there is this modernization journey that I talked about and there's an explosion of SaaS applications, cloud technologies, data sources, et cetera. And not only is it about integrating data sources and automating workflows, but implementing things at scale, making sure you have high data quality, high data governance, security, et cetera. And Boomi sits right in the middle of providing solutions of all of that to make a business more efficient. Not only that, but you can implement things very very quickly 'cause we're a low-code platform. It's not just about this hardcore technology that's really hard to implement. You can do it really quickly with our platform. >> Speaking of transformation, one of the things John does every year ahead of re:Invent is he gets to sit down with the CEO of re:Invent and really does a great, if you haven't seen it, check it out on siliconangle.com. Really kind of a preview of what we're going to expect at the show. And one of the things Adam said to you was CIOs, CEOs are coming to me not wanting to talk about technology. They want to talk about transformation, business transformation. It's no more, not so much about digital transformation anymore, it's about transforming businesses. Are you hearing customers come to you with the same help us transform our business so we can be competitive, so we can meet customer demand? >> Oh, absolutely. It's no longer about tools and technology and providing people with paint to paint on a canvas. We're offering solutions on the AWS marketplace. We have five solutions that we launched this year to get people up and running very quickly based on business problems from disbursement to lead to cash with Salesforce and NetSuite to business-to-business integrations and EDI dashboarding and that sort of thing. We also have our own marketplace that provide these solutions and give our customers the ability to visualize what they can do with our platform to actually solve business problems. Again, not just about tooling and technology and how to connect things. >> How's the marketplace relationship going for you? Are you guys seeing success there? >> Yeah, we're seeing a lot of success. I mean, in fact, we're going to be doubling down in the next year. We're going to be, we haven't announced it yet, but we're going to be announcing some new solutions. >> John: I guess we're announcing it now. >> No, I'm not going to get to specifics. But we're going to be putting more and more solutions on the marketplace and we're going to be offering more ways to consume and purchase our platform on the marketplace in the next couple of months. >> Ed, talk about what's new with Boomi real quick. I know you guys have new connectors Early Access. What's been announced? What have you guys announced? What's coming? What's the new things folks should pay attention from a product standpoint? >> Yeah, so you mentioned the connectors. We have 32 new connectors. And by the way in our ecosystem, our customers have connected 199,970 unique things. Amazon SQS is one of those in that number. So that's the kind of scale. >> What's the number again? >> 199,970. At least that's the last I checked earlier. >> That's a good recall right there. Exact number. >> It's an exciting number 'cause we're scaling very, very rapidly. But the other things that are exciting are we announced our event streaming service that we want to bring to our cloud. We've relied on partners in the past to do that for us, but it's been a very critical need that our customers have asked for. So we're integrating that into our platform. We're also going to be focusing more and more on our data management capabilities because I mentioned it a little earlier, connecting things, if bad data's going in and bad data's going out, bad data's going everywhere. So we have the tools and capability to govern data, manage data, high quality solutions. So we're going to invest more and more in that 'cause that's what our customers are asking us for. >> Data governance is a challenge for any business in any industry. Too much access is a huge risk, not enough access to the right people means you can't really extract the insights from data to be able to make data-driven decisions. How do you help customers really on that fine line of data governance? >> Very specifically, we have as part of our iPaaS platform, we have a data catalog and data prep capability within the platform itself that gives citizens in the organization the ability to catalog data in a secure way based on what they have capabilities to. But not only that, the integrator can use data catalog to actually catalog the data and understand what needs to be integrated and how they can make their business more efficient by automating the movement of data and sharing the data across the organization. >> On the innovation side, I want to get back to that again because I think this integration innovation angle is something that we talked about with Adams Selipsky in our stories hitting SiliconANGLE right now are all about the partner ecosystems. We've been highlighting some of the bigger players emerging. You guys are out there. You got Databricks, Snowflake, MongoDB where they're partnering with Amazon, but they're not just an ISV, they're platforms. You guys have your own ISVs. You have your own customers. You're doing low-code before no-code is popular. So where are you guys at on that wave? You got a good customer base, share some names. What's going on with the customers? Are they becoming more developer oriented? 'Cause let's face it, your customers that working on Boomi, they're developers. >> Yes. >> And so they got tools. You're enablers, so you're a platform on Amazon. >> We are a platform on Amazon. >> We call that supercloud, but that's where this new shift is happening. What's your reaction to that? >> Yes, so I guess we are a supercloud on Amazon and our customers and our partners are developers of our platforms themselves. So most of our partners are also customers of ours and they will be implementing their own integrations in the backend of their platforms into their backend systems to do things like billing and monitoring of their own usage of their platforms. But with our customers, they're also Amazon customers who are trying to connect in a multicloud way or many times just within the Amazon ecosystem. Or even customers like Kenco and Tim Heger who did a presentation from HealthBridge. They're also doing B2B connectivity to bring information from their partners into their ecosystem within their platform. So we handle all of the above. So now we are an independent company and it's nice to be a central part of all of these different ecosystems. And where I find myself in my role a lot of times is literally connecting different platforms and applications and SI partners to solve these problems 'cause nobody can really see it themselves. I had a conversation earlier today where someone would say, "Hey, you're going to talk with that SI partner later today. They're a big SI partner of ours. Why don't they develop solutions that we can go to market together to solve problems for our customers?" >> Lisa, this is something that we've been talking about a lot where it's an and conversation. My big takeaway from Adam's one-on-one and re:Invent so far is they're not mutually exclusive. There's an and. You can be an ISV and this platforms in the ecosystem because you're enabling software developers, ISV as they call it. I think that term is old school, but still independent software vendors. That's not a platform. They can coexist and they are, but they're becoming on your platform. So you're one of the most advanced Amazon partners. So as cloud grows and we mature and what, 13 years old Amazon is now, so okay, you're becoming bigger as a platform. That's the next wave. What happens in that next five years from there? What happens next? Because if your platform continues to grow, what happens next? >> So for us, where we're going is connecting platform providers, cloud providers are getting bigger. A lot of these cloud providers are embracing partnerships with other vendors and things and we're helping connect those. So when I talk about business-to-business and sharing data between those, there are still some folks that have legacy applications that need to connect and bring things in and they're just going to ride them until they go away. That is a requirement, but at some point that's all going to fall by the wayside. But where the industry is really going for us is it is about automation and quickly automating things and again, doing more with less. I think Tim Heger had a quote where he said, "I don't need to use Michelangelo to come paint my living room." And that's the way he thinks about low-code. It's not about, you don't want to just sit there and code things and make an art out of coding. You want to get things done quickly and you want to keep automating your business to keep pushing things forward. So a lot of the things we're looking at is not just about connecting and automating data transformation and that's all valuable, but how do I get someone more productive? How do I automate the business in an intelligent way more and more to push them forward. >> Out of the box solutions versus platforms. You can do both. You can build a platform. >> Yes. >> Or you can just buy out of the box. >> Well, that's what's great about us too is because we don't just provide solutions. We provide solutions many times as a starting point or the way I look at it, it's art of the possible a lot of what we give 'cause then our customers can take our low-code tooling and say, wow, I like this solution, but I can really take it to the next step, almost in like an open source model and just quickly iterate and drive innovation that way. And I just love seeing our, a lot of it for me is just our ecosystem and our partners driving the innovation for us. >> And driving that speed for customers. When I had the chance to interview Tim Heger myself last month and he was talking about Boomi integration and Flow are enabling him to do integration 10x faster than before and HealthBridge built their business on Boomi. They didn't replace the legacy solution, but he had experience with some of your big competitors and chose Boomi and said, "It is 10x faster." So he's able to deliver to those and it's a great business helping people pay for health issues if they don't have the funds to do that. So much faster than they could have if had they chosen a different technology. >> Yeah, and also what I like about the HealthBridge story is you said they started with Boomi's technology. So I like to think we scale up and scale down. So many times when I talk to prospects or new customers, they think that our technology is too advanced or too expensive or too big for them to go after and they don't think they can solve these problems like we do with enterprises. We can start with you as a startup going with SaaS applications, trying to be innovative in your organization to automate things and scale. As you scale the company will be right there along with you to scale into very very advanced solutions all in a low-code way. >> And also helping folks to scale up and down during what we're facing these macroeconomic headwinds. That's really important for businesses to be able to do for cost optimization. But at the end of the day, that company has to be a data company. They have to be able to make sure that the data matches. It's there. They know what they have. They can actually facilitate communications, conversations and deliver the end user customer is demanding whether it's a retailer, a healthcare organization, a bank, you name it. >> Exactly. And another thing with today's economy, a lot of people forget with integration or automation tooling, once you get things implemented, in many traditional forms you got to manage that long term. You have to have a team to do that. Our technology runs autonomously. I hear from our customers over and over again. I just said it, sometimes I'll walk away for a month and come back and wow, Boomi's still running. I didn't realize it. 'Cause we have technology that continues to patch itself, heal itself, continue running autonomously. That also saves in a time like now where you don't have to worry about sending teams out to patch and upgrade things on a continuous basis. We take care of that for our customers. >> I think you guys can see a lot of growth with this recession and looming. You guys fit well in the marketplace. As people figure out how to right size, you guys fit right nicely into that equation. I got to ask you, what's ahead for 2023 for Boomi? What can we expect to see? >> Yeah, what's ahead? I briefly mentioned it earlier, but the new service we're really excited about that 'cause it's going to help our customers to scale even further and bring more workloads into AWS and more workloads that we can solve challenges for our customers. We've also got additional solutions. We're looking at launching on AWS marketplace. We're going to continue working with SIs and GSIs and our ISV ecosystem to identify more and more enterprise great solutions and verticals and industry-based solutions that we can take out of the box and give to our customers. So we're just going to keep growing. >> What are some of those key verticals? Just curious. >> So we're focusing on manufacturing, the financial services industry. I don't know, maybe it's vertical, but higher ed's another big one for us. So we have over a hundred universities that use our technology in order to automate, grant submissions, student management of different aspects, that sort of thing. Boise State is one of them that's modernized on AWS with Boomi technology. So we're going to continue rolling in that front as well. >> Okay. Is it time for the challenge? >> It's time for the challenge. Are you ready for the challenge, Ed? We're springing this on you, but we know you so we know you can nail this. >> Oh no. >> If you were going to create your own sizzle reel and we're creating sizzle reel that's going to go on Instagram reels and you're going to be a star of it, what would that sizzle reel say? Like if you had a billboard or a bumper sticker, what's that about Boomi boom powerful story? >> Well, we joked about this earlier, but I'd have to say, Go Boomi it. This isn't real. >> Go Boomi it, why? >> Go Boomi it because it's such a succinct way of saying our customer, that terminology came to us from our customers because Boomi becomes a verb within an organization. They'll typically start with us and they'll solve an integration challenge or something like that. And then we become viral in a good way with an organization where our customers, Lisa, you mentioned it earlier before the show, you love talking to our customers 'cause they're so excited and happy and love our technology. They just keep finding more ways to solve challenges and push their business forward. And when a problem comes up, an employee will typically say to another, go Boomi it. >> When you're a verb, that's a good thing. >> Ed: Yes it is. >> Splunk, go Splunk it. That was a verb for log files. Kleenex, tissue. >> Go Boomi it. Ed, thank you so much for coming back on your fourth time. So next time we see you will be fifth time. We'll get you that five-timers club jacket like they have on SNL next time. >> Perfect, can't wait. >> We appreciate your insight, your time. It's great to hear what's going on at Boomi. We appreciate it. >> Ed: Cool. Thank you. >> For Ed Macosky and John Furrier, I'm Lisa Martin. You're watching theCUBE, the leader in live enterprise and emerging tech coverage. (upbeat music)
SUMMARY :
and it's incredible ecosystem of partners Boomi is going to be a great segment. And it's great to see you in person. Yeah, great to be here. What's going on at Boomi? that I need to bring in temporarily and look at the transition, of all of that to make a And one of the things Adam said to you was and how to connect things. We're going to be, we going to be offering more ways What's the new things So that's the kind of scale. the last I checked earlier. That's a good recall right there. the past to do that for us, to be able to make data-driven decisions. and sharing the data is something that we talked And so they got tools. We call that supercloud, and it's nice to be a central part continues to grow, So a lot of the things we're looking at Out of the box but I can really take it to the next step, have the funds to do that. So I like to think we that company has to be a data company. You have to have a team to do that. I got to ask you, what's and our ISV ecosystem to What are some of those key verticals? in order to automate, but we know you so we but I'd have to say, Go Boomi it. that terminology came to us that's a good thing. That was a verb for log files. So next time we see It's great to hear For Ed Macosky and John
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Gil Shneorson, Dell | Dell Technologies World 2022
>>The cube presents. Dell technologies world brought to you by Dell. >>Welcome to Las Vegas. Lisa Martin, with Dave Volante. The cube is live at Dell technologies world 2022. Dave, hope you say live, live <laugh>. We are live. We are in person. We are three-D. We are also here on the first day of our coverage with an eight time, right? Eight time cube alum, GA Norris joins us the senior vice president of edge portfolio solutions at Dell technologies. Welcome back our friend. >>Thank you. It's great to be here in this forum with live people, you know, and 3d, >>Isn't it. We're amazing. We're not, we're not via a screen. This is actually real. So Gill a a lot, a lot of buzz, great attendance at this first event, since 20, lot's been going on since then, we're talking a lot about edge. It's not new, but there's a lot changing what's going on there. >>Well, you know, edge has been around for a while. Um, actually since, you know, the beginning of time people were doing, you know, compute and, and applications, they in the, um, in the physical space where data it, but more and more, um, data is based on sensors in cameras and machine vision. And if you wanna make real time decisions, there's a few reasons why you can't just send everything back to a data center or a cloud. Maybe you don't have the right latency, maybe, um, you it's too costly. Maybe you don't have the right end with maybe you have security challenges, maybe have compliance challenges. So the world's moving more and more resources towards where the data is created and to make real time decisions and to generate new business values, things are changing and they're becoming much more, um, um, involved than before, much more. Um, so basically that that's, what's changing. You know, we need to deal with distributed architectures much more than we needed before. >>I think one of the things we've learned in the last very dynamic two years is that access to realtime data is no longer a nice to have it's table stakes for whether we're talking about retail, healthcare, et cetera. So that the, the realtime data access is critical for everybody to these days. >>Right? And it, it could be a real time decision, or it could even be data collection either way. You need to place some device, some comput next to the source. And then, you know, you have a lot of them and you just multiply by multiple use cases and you be, you basically, you have a very complex problem to solve. And if you ask me what's new is that complexity is big coming more and more, um, critical to solve >>Critical. >>Oh, go ahead, please. >>I was just gonna say, talk to me about some of the, from a, from a complexity resolution perspective, what are some of the things that Dell is doing to help organizations as they spread out to the edge more to meet that consumer demand, but reduce that complexity from an infrastructure standpoint. >>So we focus on simplifying. I think that's what people need right now. So there are two things we do. We, we optimize our products, um, whether they need regularization or different temperature envelopes or, uh, management capability, remote management capability, and we create solutions. And so we develop, um, solutions that look at specific, um, outcomes and we size it and we create deployment guides. Um, we do everything we can, um, to simplify the, uh, the edge uses for our customers. >>You know, you guys is talking about, it's not new. I, and I know you do a lot in retail. I think of like the NCR cash register as the, the original edge, you know, but there's other use cases. Uh there's you Gil, you and I have talked about AI inferencing in, in real time, there was a question today in the analyst forum, uh, I think it went to Jeff or nobody wanted to take it. No, maybe it was Michael, but the metaverse, but that there's edge space is the edge industrial I OT. So how do you, I mean, the Tam is enormous. How do you think about the use cases? Are there ones that, that aren't necessarily sort of horizontal for you that you don't go after, like EVs and TA the cars? Or how are you thinking about >>It? Depends. I agree that the, uh, edge business is very verticalized. Um, at the same time, there are very, uh, there is, there are themes that emerge across every industry. Um, so we're trying to solve things horizontally being Dell, we need to solve for, um, repeatability and scale, but we do package, you know, vertical solutions on top of them because that's what people need. Um, so for example, you know, you said, um, NCR being the, uh, the original edge. If I asked you today, name how many applications are, are running in a retail store to enable your experience? You'd say, well, there's self checkout. Maybe there is a, um, fraud detection, >>Let's say a handful >>It's handful. The fact is it's not, it's about 30 different applications, 30 that are running. So you have, you know, digital labels and you have, you know, a curbside delivery and you have inventory management and you have crowd management and you have safety and security. And what happens today is that every one of those solar is purchased separately and deployed separately and connected to the network separately and secured separately. Hence you see the problem, right? And so I know what we do, and we create a solution. For example, we see, okay, infrastructure, what can we consolidate onto an infrastructure that could scale over time? And then we look at it in the context of a solution. So, you know, the solution we're announcing, or we announced last week does just that on the left side, it looks at a consolidated infrastructure based on VxRail and VMware stack. So you can run multiple applications on the right side, it working with a company called deep north for Inso analytics and actually people that, um, and the show they can go and see this in action, um, in our, um, you know, fake retail store, uh, back at the edge booth. Um, but the point is those elements of siloed applications and the need to consolidate their true for every industry. And that's what we're trying to solve for. >>I was just wondering, you said they're true for every industry. Every industry is facing the same challenges there. What, what makes retail so prime for transformation right now? >>That's a great question. So, you know, using my example from before, if you are faced with this set, have a shopper that buys online and they now are coming back to the stores and they need to, they want the same experience. They want the stuff that they search for. They want it available to them. Um, and in fact, we research that 80% of people say, if they have a bad experience will not come back to a retail store. So you've got all of those use cases that you need to put to, you've got this savvy shopping that comes in, you've got heightened labor costs. You've got a supply chain problem in most of those markets, labor >>Shortages as >>Well. It's a perfect storm. And you wanna give an experience, right? So CIOs are looking at this and they go, how do I do all of that? Um, and they, they, as I said before, the key management, the key problem is management of all of those things is why they can innovate faster. And so retail is in this perfect storm where they need to innovate and they want to innovate. And now they're looking for options and we're here to help them. >>You know, a lot of times we talk about the in industrial IOT, we talk about the it and the OT schism. Is there a similar sort of dissonance between it, your peeps, Dell's traditional market, and what's happening, you know, at the near edge, the retail infrastructure sort of different requirements. How are you thinking about that and managing that >>About, um, 50% of edge projects today are, are somehow involving it. Um, usually every project will involve it for networking and security, so they have to manage it either way. And today there's a lot of what we used to call shadow it. When we talked about cloud, this has happens at the edge as well. Now this happened for a good reason because the expertise are the OT people expertise on the, the specific use case. It's true for manufacturing. It's also for true for, for retail. Um, our traditional audience is the it audience and, and we will never be able to merger two worlds unless it was better able to service the OT buyers. And even in the show, I I've had multiple conversations today. We, with people to talk about the divide, how to bring it together, it will come together when it can deliver a better service to the OT, um, constituents. And that's definitely a job for Dell, right? This is what we do. If we enable our it buyer to do a better job in servicing the OT crowd or their business crowd in retail, um, more innovation will happen, you know, across the, those different dimensions. So I'm happy you asked that because that's actually part of the mission we're taking on. >>Where is one of the things I think about when you, you talk about that consumer experience and we're very demanding as consumers. We wanna ha as you described, we wanna have the same experience we expect to have that regardless of where we are. And if that doesn't happen, you, you mentioned that number of 80% of people's survey said, if I have a bad experience with a merchant, I'm out, I'm going somewhere else. Right. So where is the rest of the Csuite in the conversation? I can think of, um, a COO the chief marketing officer from brand value, brand reputation perspective. Are you talking with those folks as well to help make the connective so reality? >>Um, I, I, I don't know that we're having those conversation with those business owners. We we're a, um, a system, an infrastructure company. So, you know, we get involved once they understand, you know, what they want to do. We just look at it in. And so if you solve it one way, it's gonna be one outcome. Maybe there is a better way to look at it. Maybe there's an architecture, maybe there's a more, you know, thoughtful way to think about, you know, the problems before they happen. And, um, but the fact that they're all looking shows you, that their business owners are very, very concerned with, with this reality, their >>Key stakeholders. Can >>We come back to your announcement? Can you, can we unpack that a little bit, uh, for those who might not be familiar with it? What, what, what is it called again? And give us a peel, the onion a little bit Gil. Yeah. >>So, so we call it a Dell technologies validated design. Um, it is essentially reference architecture. Um, we take a use case, we size it. So we, you know, we, um, we save customers, the effort of, of testing and sizing. We document the deployment step by step. We just make it simpler. And as says, before we look for consolidation, so we took a VXL, which is our leading ACI product based on VMware technology with a VMware application management stack with Tansu. Um, and then we, we, we look at that as the infrastructure, and then we test it with a company called deep north and deep north, um, are, um, store analytics. So through machine vision, they can tell you where people are queuing up. If there is somebody in the store that needs help and nobody's approaching, if there is a water spill and somebody might, you know, slip and hurt themselves, if a fridge is open and something may get spot. >>And so all of those things together through machine vision and realtime decisions can have this much better experience. So we put all of this together, we created a design and now it's out there in the market for our partners to use for our customers to use. Um, this is an extension of our manufacturing solutions, where we did the same thing. We partner with a company called PTC. I know of obviously in a company called Litmos, um, to create, um, industrial and the leading solution. So this whole word of solutioning is supposed to look at the infrastructure and a use case and bring them together and document in a way that simplifies things for >>Customers. Do you ever see that becoming a Aku at some point in time or, >>Um, personal, if you ask me? I don't think so. And the reason is there's still a lot of variability in those and skewing, but that's a very formal, you know, internal discussion. Yeah. Um, the point is we are, we want people to buy as much of it as they need to, and, and we really want to help them if Aku could help them, we will get there, but we need to see repeatability before creating skews. >>Can you give us an example of a, of a retail or a manufacturing customer that's using this Dell validated design, this DVD, and that really has reduced or eliminated that complexity that was there before. >>So this solution is new. I mean, it's brand new, we just announced it. So, no, but, um, I don't know what names I can call out, cuz referenceability is probably examples though about generic, but I will tell you that most of the large retailers in the us are based in their stores on Dell technologies. Um, a lot of the trail is in, in those stores and you're talking about thousands of locations with remote management. Um, what we're doing here is we're taking it to the next step by looking at new use cases that they have not been implementing before and saying, look, same infrastructure is valid. You know, scalable is it's scalable. And here are the new use cases with machine vision and other things that here is how you do that. But we're seeing a lot of success in retail in the last few years. >>So what should we expect looking forward, you know, any gaps that customers are asking for trying to fill? What, what two to three years out, what should we expect? >>Um, I think we're gonna stay very true to our simplification message. We want to help people simplify. So if it's simplifying, um, maintenance, if it's simplifying management, if it's simplifying through solutioning, you're gonna see us more and more and more, um, investing in simplification of edge. Um, and that's through our own IP, through our partnerships. Um, there, there is a lot more coming if, if I may say it myself, but, but it's, it's a little too early to, uh, to talk about it. >>So for those folks that are here at the show that get to see it and play with it and touch it and feel it, what would you say some of the biggest impacts are that this technology can deliver tomorrow? >>Well, first of all, it's enabling to do what they want. See, we don't have to go and, and tell people, oh, you probably really need to move things through the edge. They know they need to do it. Our job is to tell them how to do it in a secure way, in a simplified way. So that's, that's a nice thing about this, this market it's happening, whether we want it or not. Um, people in this show can go see some things in action. They can see the solution in action. They can see the manufacturing solution in action and even more so. And I forgot to say part of our announcement was a set of solution centers in Limerick island and in Singapore, that was just open. And soon enough in Austin, Texas saw that, and we will have people come in and have the full experience of IOT OT and edge device devices in action. So AR and VR, I T IEN technology and scanning technology. So they could be, um, thinking about the art of the possible, right? Thinking about this immersive experience that will help them invent with us. And so we're expecting a lot of innovation to come out of those conversations for us and for them. >>So doing a lot of testing before deployment and really gleaning that testing >>Before deployment solution architecture, just ideation, if they're not there yet. So, and I've just been to Singapore in one of those, um, they asked me to, um, pretend I was a, um, retail ski enter in a distribution center and I didn't do so well, but I was still impressed with the technology. So, >>Well, eight time Q alumni. Now you have a career to fall back on if you need to. Exactly. >><laugh> >>GA it's been great to have you. Thank you so much for coming back, talking to us about what's new on day one of Dell technologies world 22. Thank >>You for having me again, >>Our pleasure for Dave Volante. I'm Lisa Martin, coming to you live from the Venetian in Las Vegas at Dell technologies world 2022. This is day one of our coverage stick around Dave and I will be right back with our next guest.
SUMMARY :
Dell technologies world brought to you by Dell. Dave, hope you say live, live <laugh>. It's great to be here in this forum with live people, you know, and 3d, a lot of buzz, great attendance at this first event, since 20, lot's been going on since then, have the right latency, maybe, um, you it's too costly. So that the, the realtime data access is critical for everybody to these days. you know, you have a lot of them and you just multiply by multiple use cases and you be, out to the edge more to meet that consumer demand, but reduce that complexity from an infrastructure standpoint. And so we develop, um, solutions that look at specific, um, outcomes and we size it and I think of like the NCR cash register as the, the original edge, you know, you know, you said, um, NCR being the, uh, the original edge. um, in our, um, you know, fake retail store, uh, back at the edge booth. I was just wondering, you said they're true for every industry. So, you know, using my example from before, if you are faced with And you wanna give an experience, right? you know, at the near edge, the retail infrastructure sort of different requirements. more innovation will happen, you know, across the, those different dimensions. We wanna ha as you described, we wanna have the same experience we expect to have that regardless And so if you solve it one way, it's gonna be one outcome. Can We come back to your announcement? So we, you know, So we put all of this together, we created a design Do you ever see that becoming a Aku at some point in time or, a lot of variability in those and skewing, but that's a very formal, you know, Can you give us an example of a, of a retail or a manufacturing customer that's using this Dell validated but I will tell you that most of the large retailers in the us are based in their stores So if it's simplifying, um, maintenance, and tell people, oh, you probably really need to move things through the edge. and I've just been to Singapore in one of those, um, they asked me to, um, pretend I was Now you have a career to fall back on if you need to. Thank you so much for coming back, talking to us about what's new on day one of Dell technologies I'm Lisa Martin, coming to you live from the Venetian
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Alan Cohen, DCVC | CUBEConversation, September 2019
>>from our studios in the heart of Silicon Valley, Palo Alto, California It is a cute conversation. >>Hey, welcome back already, Jeffrey. Here with the cue, we're in our pal Amato Studios for acute conversation or excited, have ah, many Time Cube alone. I has been at all types of companies. He's moving around. We like to keep him close because he's got a great feel for what's going on. And now he's starting a new adventure. Eso really happy to welcome Alan Cohen back to the studio. Only great to see you. >>Hey, Draft, how are you >>in your new adventure? Let's get it right. It's the D C v c your partner. So this is ah, on the venture side. I'm gonna dark. You've gone to the dark side of the money side That is not a new firm, dark side. You know what's special about this town of money adventure right now, but you guys kind of have a special thesis. So tell us about yeah, and I think you've spoken >>to Matt and Zack. You know my partners in the past, So D. C. V. C is been in the venture business for about a decade and, um, you know, the 1st 5 years, the fund was very much focused on building, ah, lot of the infrastructure that we kind of take for granted. No things have gone into V m wear and into Citrix, and it's AWS, and hence the data collect of the D. C out of D. C. V. C. Really, the focus of the firm in the last five years and going forward is an area we call deep tech, which think about more about the intersection of science and engineering so less about. How do you improve the IittIe infrastructure? But how do you take all this computational power and put it to work in in specific industries, whether it's addressing supply chains, new forms of manufacturing, new forms of agriculture. So we're starting to see all that all the stuff that we've built our last 20 years and really apply it against kind of industrial transformation. So and we're excited. We just raise the $725 million fund. So we I got a little bit of ammunition to work with, >>Congratulate says, It's fun. Five. That's your eighth fund. Yeah, and really, it's consistent with where we're seeing all the time about applied a I and applied machine. Exactly. Right in New York, a company that's gonna build a I itt s'more the where you applying a i within an application, Where you applying machine, learning within what you do. And then you can just see the applications grow exactly right. Or are you targeting specific companies that are attacking a particular industrial focus and just using a eyes, their secret sauce or using deep taxes or secret uh, all of the above? Right. So, like I >>did when I think about D c v c like it's like so don't think about, um, I ops or throughput Orban with think about, um uh, rockets, robots, microbes, building blocks of effectively of human life and and of materials and then playing computational power and a I against those areas. So a little bit, you know, different focus. So, you know, it's the intersection of compute really smart computer science, but I'll give you a great example of something. It would be a little bit different. So we are investors and very active in a company called Pivot Bio, which is not exactly a household name. Pivot bio is a company that is replacing chemical fertilizer with microbes. And what I mean by that is they create microbes they used. So they've used all this big data and a I and computational power to construct microbes that when you plant corn, you insert the microbe into the planting cycle and it continuously produces nitrogen, which means you don't have to apply fertilizer. Right? Which fertilizer? Today in the U. S. A. $212 billion industry and two things happen. One you don't have. All of the runoff doesn't leech into the ground. The nitrous does. Nitrogen doesn't go into the air, and the crop yield has been a being been between about 12 and 15% higher. Right? >>Is it getting put? You know, the food industry is such a great place, and there's so many opportunities, both in food production. This is like beyond a chemical fertilizer instead of me. But it's great, but it's funny because you think of GMO, right? So all food is genetically modified. It's just It took a long time in the past because you had to get trees together, and yet you replant the pretty apples and throw the old apple trees away. Because if you look at an apple today versus an apple 50 years, 100 years, right, very, very different. And yet when we apply a man made kind of acceleration of that process than people, you know, kind of pushed back Well, this is this is not this is not nature, So I'm just curious in, in, in in, Well, this is like a microbe, you know? You know, they actually it is nature, right? So nature. But there'll be some crazy persons that wait, This is not, you know, you're introducing some foreign element into Well, you could take >>potash and pour it on corn. Or you could create a use, a microbe that creates nitrogen. So which one is the chemical on which one is nature, >>right, That that's why they get out. It's a funny part of that conversation, but but it's a different area. So >>you guys look, you guys spent a lot of time on the road. You talked a lot of startups. You talked a lot of companies. You actually talked to venture capitalists and most of the time where you know, we're working on the $4 trillion I t sector, not an insignificant sector, right? So that's globally. It's that's about the size of the economy. You know, manufacturing, agriculture and health care is more like 20 to $40 billion of the economy. So what we've also done is open the aperture to areas that have not gone through the technical disruption that we've seen an I t. Right now in these industries. And that's what's that mean? That's why I joined the firm. That's why I'm really excited, because on one hand you're right. There is a lot of cab you mentioned we were talking before. There is a lot of capital in venture, but there's not a CZ much targeted at the's area. So you have a larger part of global economy and then a much more of specific focus on it. >>Yeah, I think it's It's such a you know, it's kind of the future's here kind of the concept because no one knows, you know, the rate of which tech is advancing across all industries currently. And so that's where you wake up one day and you're like, Oh, my goodness, you know, look at the impacts on transportation. Look at the impacts on construction of the impacts on health care. Look at the impacts on on agriculture. So the opportunity is fantastic and still following the basic ideas of democratizing data. Not using a sample of old data but using, you know, real time analytics on hold data sets. You know, all these kind of concepts that come over really, really well to a more commercial application in a nightie application. Yeah. So, Jeff, I'm kind of like >>looking over your shoulder. And I'm looking at Tom Friedman's book The world is flat. And you know, if we think about all of us have been kind of working on the Internet for the last 20 years, we've done some amazing things like we've democratized information, right? Google's fairly powerful part of our lives. We've been able to allow people to buy things from all over the world and ship it. So we've done a lot of amazing things in the economy, but it hasn't been free. So if I need a 2032 c r. 20 to 32 battery for my key fob for my phone, and I buy it from Amazon and it comes in a big box. Well, there's a little bit of a carbon footprint issue that goes with that. So one of our key focus is in D. C V. C, which I think is very unique, is we think two things can happen is that weaken deal with some of the excess is over the economy that we built and as well as you know, unlock really large profit pulls. At the end of the day, you know, it has the word Venture Patrol says the word capital, right? And so we have limited partners. They expect returns. We're doing this obviously, to build large franchises. So this is not like this kind of political social thing is that we have large parts of the economy. They were not sustainable. And I'll give you some examples. Actually, you know, Jeff Bezos put out a pledge last week to try to figure out how to turn Amazon carbon neutral. >>Pretty amazing thing >>right with you from the was the richest person Now that half this richest person in the world, right? But somebody who has completely transformed the consumer economy as well as computing a comedy >>and soon transportation, right? So people like us are saying, Hey, >>how can we help Jeff meet his pledge? Right? And like, you know, there are things that we work on, like, you know, next generation of nuclear plants. Like, you know, we need renewables. We need solar, but there's no way to replace electricity. The men electricity, we're gonna need to run our economy and move off of coal and natural gas, Right? So, you know, being able to deal with the climate impacts, the social impacts are going to be actually some of the largest economic opportunities. But you can look at it and say, Hey, this is a terrible problem. It's ripping people across. I got caught in a traffic jam in San Francisco yesterday upon the top of the hill because there was climate protest, right? And you know, so I'm not kind of judging the politics of that. We could have a long conversation about that. The question is, how do you deal with these real issues, right and obviously and heady deal with them profitably and ethically, and I think that something is very unique about you know, D. C. V. C's focus and the ability to raise probably the largest deep tech fund ever to go after. It means that you know, a lot of people who back us also see the economic opportunity. And at the end of day there, you know, a lot of our our limited partners, our pension funds, you know, in universities, like, you know, there was a professor who has a pension fund who's gotta retire, right? So a little bit of that money goes into D C V C. So we have a responsibility to provide a return to them as well as go after these very interesting opportunities. >>So is there any very specific kind of investment thesis or industry focus Or, you know, kind of a subset within, you know, heavy lifting technology and science and math. That's a real loaded question in front of that little. So we like problems >>that can be solved through massive computational capability. And so and that reflects our heritage and where we all came from, right, you and I, and folks in the industry. So, you know, we're not working at the intersection of lab science at at a university, but we would take something like that and invest in it. So we like you know we have a lot of lessons in agriculture and health care were, surprisingly, one of the largest investors in space. We have investments and rocket labs, which is the preferred launch vehicle for any small satellite under two and 1/2 kilograms. We are large investors and planet labs, which is a constellation of 200 small satellites over investors and compel a space. So, uh, well, you know, we like space, and, you know, it's not space for the sake of space. It's like it's about geospatial intelligence, right? So Planet Labs is effectively the search engine for the planet Earth, right? They've been effectively Google for the planet, right? Right. And all that information could be fed to deal with housing with transportation with climate change. Um, it could be used with economic activity with shipping. So, you know, we like those kinds of areas where that technology can really impact and in the street so and so we're not limited. But, you know, we also have a bio fund, so we have, you know, we're like, you know, we like agriculture and said It's a synthetic biology types of investments and, you know, we've still invest in things like cyber we invest in physical security were investors and evolve, which is the lead system for dealing with active shooters and venues. Israel's Fordham, which is a drone security company. So, um, but they're all built on a Iot and massive >>mess. Educational power. I'm just curious. Have you private investment it if I'm tree of a point of view because you got a point of view. Most everything on the way. Just hear all this little buzz about Quantum. Um, you know, a censure opened up their new innovation hub in the Salesforce tower of San Francisco, and they've got this little dedicated kind of quantum computer quanta computer space. And regardless of how close it is, you know there's some really interesting computational opportunities last challenges that we think will come with some period of time so we don't want them in encryption and leather. We have lost their quantum >>investments were in literally investors and Righetti computing. Okay, on control, cue down in Australia, so no, we like quantum. Now, Quantum is a emerging area like it's we're not quite at the X 86 level of quantum. We have a little bit of work to get there, but it offers some amazing, you know, capabilities. >>One thing >>that also I think differentiates us. And I was listening to What you're saying is we're not afraid. The gold long, I mean a lot of our investments. They're gonna be between seven and 15 years, and I think that's also it's very different if you follow the basic economics adventure. Most funds are expected to be about 10 years old, right? And in the 1st 3 or four years, you do the bulk of the preliminary investing, and then you have reserves traditional, you know, you know, the big winners emerged that you can continue to support the companies, some of ours, they're going to go longer because of what we do. And I think that's something very special. I'm not. Look, we'd like to return in life of the fun. Of course, I mean, that's our do share a responsibility. But I think things like Quantum some of these things in the environment. They're going to take a while, and our limited partners want to be in that long ride. Now we have a thesis that they will actually be bigger economic opportunities. They'll take longer. So by having a dedicated team dedicated focus in those areas, um, that gives us, I think, a unique advantage, one of one of things when we were launching the fund that we realized is way have more people that have published scientific papers and started companies than NBA's, um, in the firm. So we are a little bit, you know, we're a little G here. That >>that's good. I said a party one time when I was talking to this guy. You were not the best people at parties we don't, but it is funny. The guy was He was a VC in medical medical tech, and I didn't ask him like So. Are you like a doctor? Did you work in a hospital where you worked at A at a university that doesn't even know I was investment banker on Wall Street and Michael, that's that's how to make money move. But do you have? Do you have the real world experience of being in the trenches? Were Some of these applications are being used, but I'm also curious. Where do you guys like to come in? ABC? What's your well, sweets? Traditionally >>we are have been a seed in Siri's. A investor would like to be early. >>Okay, Leader, follow on. Uh, everybody likes the lead, right? Right, right, right. You know what? Your term feet, you >>know? Yeah, right. And you have to learn howto something lead. Sometimes you follow. So we you know, we do both. Okay, Uh, there are increasing as because of the size of the fund. We will have the opportunity to be a little bit more multi stage than we traditionally are known for doings. Like, for example, we were seed investors in little companies, like conflict an elastic that worked out. Okay, But we were not. Later stage right. Investors and company likes companies like that with the new fund will more likely to also be in the later stages as well for some of the big banks. But we love seed we love. Precede. We'd like three guys in in a dog, right? If they have a brilliant >>tough the 7 50 to work when you're investing in the three guys in a dog and listen well and that runs and runs and you know you >>we do things we call experiments. Just you know, uh, we >>also have >>a very unique asset. We don't talk about publicly. We have a lot of really brilliant people around the firm that we call equity partners. So there's about 60 leaning scientists and executives around the world who were also attached to the firm. They actually are, have a financial stake in the firm who work with us. That gives us the ability to be early Now. Clearly, if you put in a $250,000 seed investment you don't put is the same amount of time necessarily as if you just wrote a $12 million check. What? That's the traditional wisdom I found. We actually work. Address this hard on. >>Do you have any? Do you have any formal relationships within the academic institutions? How's that >>work? Well, well, I mean, we work like everybody else with Stanford in M I t. I mean, we have many universities who are limited partners in the fund. You know, I'll give you an example of So we helped put together a company in Canada called Element A I, which actually just raised $150 million they, the founder of that company is Ah, cofounder is a fellow named Joshua Benji. Oh, he was Jeff Hinton's phD student. Him in the Vatican. These guys invented neural networks ing an a I and this company was built at a Yasha his position at the University of Montreal. There, 125 PhDs and a I that work at this firm. And so we're obviously deeply involved. Now, the Montreal A icing, my child is one of the best day I scenes in the world and cool food didn't and oh, yeah, And well, because of you, Joshua, because everybody came out of his leg, right? So I think, Yes, I think so. You know, we've worked with Carnegie Mellon, so we do work with a lot of universities. I would, I would say his university's worked with multiple venture firm Ah, >>such an important pipeline for really smart, heavy duty, totally math and tech tech guys. All right, May, that's for sure. Yeah, you always one that you never want to be the smartest guy in the room, right, or you're in the wrong room is what they say you said is probably >>an equivalent adventure. They always say you should buy the smallest house in the best neighborhood. Exactly. I was able to squeeze its PCB sees. I'm like, the least smart technical guy in the smartest technical. There >>you go. That's the way to go. All right, Alan. Well, thanks for stopping by and we look forward. Thio, you bring in some of these exciting new investment companies inside the key, right? Thanks for the time. Alright. He's Alan. I'm Jeff. You're watching the Cube. We're Interpol about the studios. Thanks for watching. We'll see you next time.
SUMMARY :
from our studios in the heart of Silicon Valley, Palo Alto, We like to keep him close because he's got a great feel for what's going on. You know what's special about this town of money adventure right now, but you guys kind of have a special thesis. um, you know, the 1st 5 years, the fund was very much focused on building, build a I itt s'more the where you applying a i within an application, So a little bit, you know, different focus. acceleration of that process than people, you know, kind of pushed back Well, this is this is not this Or you could create a use, It's a funny part of that conversation, but but it's a different area. You actually talked to venture capitalists and most of the time where you know, Yeah, I think it's It's such a you know, it's kind of the future's here kind of the concept because no one And you know, And at the end of day there, you know, a lot of our our limited partners, our pension funds, Or, you know, kind of a subset within, you know, heavy lifting technology So we like you know we have a lot of lessons in agriculture and health care Um, you know, a censure opened up their new innovation hub in the Salesforce tower of San Francisco, you know, capabilities. And in the 1st 3 or four years, you do the bulk of the preliminary investing, Do you have the real world experience of being in the trenches? we are have been a seed in Siri's. Your term feet, you So we you know, Just you know, uh, put is the same amount of time necessarily as if you just wrote a $12 million check. I'll give you an example of So we helped put together a company in Canada called Yeah, you always one that you never want to be the smartest guy in the room, They always say you should buy the smallest house in the best neighborhood. you bring in some of these exciting new investment companies inside the key, right?
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