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Armando Acosta, Dell Technologies and Matt Leininger, Lawrence Livermore National Laboratory


 

(upbeat music) >> We are back, approaching the finish line here at Supercomputing 22, our last interview of the day, our last interview of the show. And I have to say Dave Nicholson, my co-host, My name is Paul Gillin. I've been attending trade shows for 40 years Dave, I've never been to one like this. The type of people who are here, the type of problems they're solving, what they talk about, the trade shows are typically, they're so speeds and feeds. They're so financial, they're so ROI, they all sound the same after a while. This is truly a different event. Do you get that sense? >> A hundred percent. Now, I've been attending trade shows for 10 years since I was 19, in other words, so I don't have necessarily your depth. No, but seriously, Paul, totally, completely, completely different than any other conference. First of all, there's the absolute allure of looking at the latest and greatest, coolest stuff. I mean, when you have NASA lecturing on things when you have Lawrence Livermore Labs that we're going to be talking to here in a second it's a completely different story. You have all of the academics you have students who are in competition and also interviewing with organizations. It's phenomenal. I've had chills a lot this week. >> And I guess our last two guests sort of represent that cross section. Armando Acosta, director of HPC Solutions, High Performance Solutions at Dell. And Matt Leininger, who is the HPC Strategist at Lawrence Livermore National Laboratory. Now, there is perhaps, I don't know you can correct me on this, but perhaps no institution in the world that uses more computing cycles than Lawrence Livermore National Laboratory and is always on the leading edge of what's going on in Supercomputing. And so we want to talk to both of you about that. Thank you. Thank you for joining us today. >> Sure, glad to be here. >> For having us. >> Let's start with you, Armando. Well, let's talk about the juxtaposition of the two of you. I would not have thought of LLNL as being a Dell reference account in the past. Tell us about the background of your relationship and what you're providing to the laboratory. >> Yeah, so we're really excited to be working with Lawrence Livermore, working with Matt. But actually this process started about two years ago. So we started looking at essentially what was coming down the pipeline. You know, what were the customer requirements. What did we need in order to make Matt successful. And so the beauty of this project is that we've been talking about this for two years, and now it's finally coming to fruition. And now we're actually delivering systems and delivering racks of systems. But what I really appreciate is Matt coming to us, us working together for two years and really trying to understand what are the requirements, what's the schedule, what do we need to hit in order to make them successful >> At Lawrence Livermore, what drives your computing requirements I guess? You're working on some very, very big problems but a lot of very complex problems. How do you decide what you need to procure to address them? >> Well, that's a difficult challenge. I mean, our mission is a national security mission dealing with making sure that we do our part to provide the high performance computing capabilities to the US Department of Energy's National Nuclear Security Administration. We do that through the Advanced Simulation computing program. Its goal is to provide that computing power to make sure that the US nuclear rep of the stockpile is safe, secure, and effective. So how we go about doing that? There's a lot of work involved. We have multiple platform lines that we accomplish that goal with. One of them is the advanced technology systems. Those are the ones you've heard about a lot, they're pushing towards exit scale, the GPU technologies incorporated into those. We also have a second line, a platform line, called the Commodity Technology Systems. That's where right now we're partnering with Dell on the latest generation of those. Those systems are a little more conservative, they're right now CPU only driven but they're also intended to be the everyday work horses. So those are the first systems our users get on. It's very easy for them to get their applications up and running. They're the first things they use usually on a day to day basis. They run a lot of small to medium size jobs that you need to do to figure out how to most effectively use what workloads you need to move to the even larger systems to accomplish our mission goals. >> The workhorses. >> Yeah. >> What have you seen here these last few days of the show, what excites you? What are the most interesting things you've seen? >> There's all kinds of things that are interesting. Probably most interesting ones I can't talk about in public, unfortunately, 'cause of NDA agreements, of course. But it's always exciting to be here at Supercomputing. It's always exciting to see the products that we've been working with industry and co-designing with them on for, you know, several years before the public actually sees them. That's always an exciting part of the conference as well specifically with CTS-2, it's exciting. As was mentioned before, I've been working with Dell for nearly two years on this, but the systems first started being delivered this past August. And so we're just taking the initial deliveries of those. We've deployed, you know, roughly about 1600 nodes now but that'll ramp up to over 6,000 nodes over the next three or four months. >> So how does this work intersect with Sandia and Los Alamos? Explain to us the relationship there. >> Right, so those three laboratories are the laboratories under the National Nuclear Security Administration. We partner together on CTS. So the architectures, as you were asking, how do we define these things, it's the labs coming together. Those three laboratories we define what we need for that architecture. We have a joint procurement that is run out of Livermore but then the systems are deployed at all three laboratories. And then they serve the programs that I mentioned for each laboratory as well. >> I've worked in this space for a very long time you know I've worked with agencies where the closest I got to anything they were actually doing was the sort of guest suite outside the secure area. And sometimes there are challenges when you're communicating, it's like you have a partner like Dell who has all of these things to offer, all of these ideas. You have requirements, but maybe you can't share 100% of what you need to do. How do you navigate that? Who makes the decision about what can be revealed in these conversations? You talk about NDA in terms of what's been shared with you, you may be limited in terms of what you can share with vendors. Does that cause inefficiency? >> To some degree. I mean, we do a good job within the NSA of understanding what our applications need and then mapping that to technical requirements that we can talk about with vendors. We also have kind of in between that we've done this for many years. A recent example is of course with the exit scale computing program and some things it's doing creating proxy apps or mini apps that are smaller versions of some of the things that we are important to us. Some application areas are important to us, hydrodynamics, material science, things like that. And so we can collaborate with vendors on those proxy apps to co-design systems and tweak the architectures. In fact, we've done a little bit that with CTS-2, not as much in CTS as maybe in the ATS platforms but that kind of general idea of how we collaborate through these proxy applications is something we've used across platforms. >> Now is Dell one of your co-design partners? >> In CTS-2 absolutely, yep. >> And how, what aspects of CTS-2 are you working on with Dell? >> Well, the architecture itself was the first, you know thing we worked with them on, we had a procurement come out, you know they bid an architecture on that. We had worked with them, you know but previously on our requirements, understanding what our requirements are. But that architecture today is based on the fourth generation Intel Xeon that you've heard a lot about at the conference. We are one of the first customers to get those systems in. All the systems are interconnected together with the Cornell Network's Omni-Path Network that we've used before and are very excited about as well. And we build up from there. The systems get integrated in by the operations teams at the laboratory. They get integrated into our production computing environment. Dell is really responsible, you know for designing these systems and delivering to the laboratories. The laboratories then work with Dell. We have a software stack that we provide on top of that called TOSS, for Tri-Lab Operating System. It's based on Redhead Enterprise Linux. But the goal there is that it allows us, a common user environment, a common simulation environment across not only CTS-2, but maybe older systems we have and even the larger systems that we'll be deploying as well. So from a user perspective they see a common user interface, a common environment across all the different platforms that they use at Livermore and the other laboratories. >> And Armando, what does Dell get out of the co-design arrangement with the lab? >> Well, we get to make sure that they're successful. But the other big thing that we want to do, is typically when you think about Dell and HPC, a lot of people don't make that connection together. And so what we're trying to do is make sure that, you know they know that, hey, whether you're a work group customer at the smallest end or a super computer customer at the highest end, Dell wants to make sure that we have the right setup portfolio to match any needs across this. But what we were really excited about this, this is kind of our, you know big CTS-2 first thing we've done together. And so, you know, hopefully this has been successful. We've made Matt happy and we look forward to the future what we can do with bigger and bigger things. >> So will the labs be okay with Dell coming up with a marketing campaign that said something like, "We can't confirm that alien technology is being reverse engineered." >> Yeah, that would fly. >> I mean that would be right, right? And I have to ask you the question directly and the way you can answer it is by smiling like you're thinking, what a stupid question. Are you reverse engineering alien technology at the labs? >> Yeah, you'd have to suck the PR office. >> Okay, okay. (all laughing) >> Good answer. >> No, but it is fascinating because to a degree it's like you could say, yeah, we're working together but if you really want to dig into it, it's like, "Well I kind of can't tell you exactly how some of this stuff is." Do you consider anything that you do from a technology perspective, not what you're doing with it, but the actual stack, do you try to design proprietary things into the stack or do you say, "No, no, no, we're going to go with standards and then what we do with it is proprietary and secret."? >> Yeah, it's more the latter. >> Is the latter? Yeah, yeah, yeah. So you're not going to try to reverse engineer the industry? >> No, no. We want the solutions that we develop to enhance the industry to be able to apply to a broader market so that we can, you know, gain from the volume of that market, the lower cost that they would enable, right? If we go off and develop more and more customized solutions that can be extraordinarily expensive. And so we we're really looking to leverage the wider market, but do what we can to influence that, to develop key technologies that we and others need that can enable us in the high forms computing space. >> We were talking with Satish Iyer from Dell earlier about validated designs, Dell's reference designs for for pharma and for manufacturing, in HPC are you seeing that HPC, Armando, and is coming together traditionally and more of an academic research discipline beginning to come together with commercial applications? And are these two markets beginning to blend? >> Yeah, I mean so here's what's happening, is you have this convergence of HPC, AI and data analytics. And so when you have that combination of those three workloads they're applicable across many vertical markets, right? Whether it's financial services, whether it's life science, government and research. But what's interesting, and Matt won't brag about, but a lot of stuff that happens in the DoE labs trickles down to the enterprise space, trickles down to the commercial space because these guys know how to do it at scale, they know how to do it efficiently and they know how to hit the mark. And so a lot of customers say, "Hey we want what CTS-2 does," right? And so it's very interesting. The way I love it is their process the way they do the RFP process. Matt talked about the benchmarks and helping us understand, hey here's kind of the mark you have to hit. And then at the same time, you know if we make them successful then obviously it's better for all of us, right? You know, I want to secure nuclear stock pile so I hope everybody else does as well. >> The software stack you mentioned, I think Tia? >> TOSS. >> TOSS. >> Yeah. >> How did that come about? Why did you feel the need to develop your own software stack? >> It originated back, you know, even 20 years ago when we first started building Linux clusters when that was a crazy idea. Livermore and other laboratories were really the first to start doing that and then push them to larger and larger scales. And it was key to have Linux running on that at the time. And so we had the. >> So 20 years ago you knew you wanted to run on Linux? >> Was 20 years ago, yeah, yeah. And we started doing that but we needed a way to have a version of Linux that we could partner with someone on that would do, you know, the support, you know, just like you get from an EoS vendor, right? Security support and other things. But then layer on top of that, all the HPC stuff you need either to run the system, to set up the system, to support our user base. And that evolved into to TOSS which is the Tri-Lab Operating System. Now it's based on the latest version of Redhead Enterprise Linux, as I mentioned before, with all the other HPC magic, so to speak and all that HPC magic is open source things. It's not stuff, it may be things that we develop but it's nothing closed source. So all that's there we run it across all these different environments as I mentioned before. And it really originated back in the early days of, you know, Beowulf clusters, Linux clusters, as just needing something that we can use to run on multiple systems and start creating that common environment at Livermore and then eventually the other laboratories. >> How is a company like Dell, able to benefit from the open source work that's coming out of the labs? >> Well, when you look at the open source, I mean open source is good for everybody, right? Because if you make a open source tool available then people start essentially using that tool. And so if we can make that open source tool more robust and get more people using it, it gets more enterprise ready. And so with that, you know, we're all about open source we're all about standards and really about raising all boats 'cause that's what open source is all about. >> And with that, we are out of time. This is our 28th interview of SC22 and you're taking us out on a high note. Armando Acosta, director of HPC Solutions at Dell. Matt Leininger, HPC Strategist, Lawrence Livermore National Laboratories. Great discussion. Hopefully it was a good show for you. Fascinating show for us and thanks for being with us today. >> Thank you very much. >> Thank you for having us >> Dave it's been a pleasure. >> Absolutely. >> Hope we'll be back next year. >> Can't believe, went by fast. Absolutely at SC23. >> We hope you'll be back next year. This is Paul Gillin. That's a wrap, with Dave Nicholson for theCUBE. See here in next time. (soft upbear music)

Published Date : Nov 17 2022

SUMMARY :

And I have to say Dave You have all of the academics and is always on the leading edge about the juxtaposition of the two of you. And so the beauty of this project How do you decide what you need that you need to do but the systems first Explain to us the relationship there. So the architectures, as you were asking, 100% of what you need to do. And so we can collaborate with and the other laboratories. And so, you know, hopefully that said something like, And I have to ask you and then what we do with it reverse engineer the industry? so that we can, you know, gain And so when you have that combination running on that at the time. all the HPC stuff you need And so with that, you know, and thanks for being with us today. Absolutely at SC23. with Dave Nicholson for theCUBE.

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David Hatfield, Lacework | AWS re:Inforce 2022


 

(upbeat music) >> We're back in Boston, theCUBE's coverage of Re:Inforce 2022. My name is Dave Vellante. Dave Hatfield is here. He's the co-CEO of Lacework. Dave, great to see again. Hat. >> Thanks Dave. >> Do you still go by Hat? >> Hat is good for me. (Dave V laughing) >> All right cool. >> When you call me David, I'm in trouble for something. (Dave V Laughing) So just call me Hat for now. >> Yeah, like my mom, David Paul. >> Exactly. >> All right. So give us the update. I mean, you guys have been on a tear. Obviously the Techlash, >> Yep. >> I mean, a company like yours, that has raised so much money. You got to be careful. But still, I'm sure you're not taking the foot off the gas. What's the update? >> Yeah no. We were super focused on our mission. We want to de deliver a cloud security for everybody. Make it easier for developers and builders, to do their thing. And we're fortunate to be in a situation, where people are in the early innings of moving into the cloud, you know. So our customers, largely digital natives. And now increasingly cloud migrants, are recognizing that in order to build fast, you know, in the cloud, they need to have a different approach to security. And, you know, it used to be that you're either going be really secure or really fast. And we wanted to create a platform that allowed you to have both. >> Yeah. So when you first came to theCUBE, you described it. We are the first company. And at the time, I think you were the only company, thinking about security as a data problem. >> Yeah. >> Explain what that means. >> Well, when you move to the cloud, you know, there's literally a quintillion data sets, that are out there. And it's doubling every several days or whatever. And so it creates a massive problem, in that the attack surface grows. And different than when you're securing a data center or device, where you have a very fixed asset, and you kind of put things around it and you kind of know how to do it. When you move to the shared ephemeral massive scale environment, you can't write rules, and do security the way you used to do it, for a data centers and devices. And so the insight for us was, the risk was the data, the upside was the data, you know? And so if you can harness all of this data, ingest it, process it, contextualize it, in the context of creating a baseline of what normal is for a company. And then monitor it constantly in real time. Figure out, you know, identify abnormal activity. You can deliver a security posture for a company, unlike anything else before. Because it used to be, you'd write a rule. You have a known adversary or a bad guy that's out there, and you constantly try and keep up with them for a very specific attack service. But when you move to the cloud, the attack service is too broad. And so, the risk of the massive amount of data, is also the solution. Which is how do you harness it and use it with machine learning and AI, to solve these problems. >> So I feel like for CISOs, the cloud is now becoming the first line of defense. >> Yep. The CISOs is now the second line. Maybe the auditing is the third line. I don't know. >> Yeah. >> But, so how do you work with AWS? You mentioned, you know, quadrillion. We heard, I think it was Steven Schmidt, who talked about in his keynote. A quadrillion, you know, data points of a month or whatever it was. That's 15 zeros. Mind boggling. >> Yeah. >> How do you interact with AWS? You know, where's your data come from? Are you able to inspect that AWS data? Is it all your own kind of first party data? How does that all work? >> Yeah, so we love AWS. I mean we ultimately, we started out our company building our own service, you know, on AWS. We're the first cloud native built on the cloud, for the cloud, leveraging data and harnessing it. So AWS enabled us to do that. And partners like Snowflake and others, allowed us to do that. But we are a multi-cloud solution too. So we allow builders and customers, to be able to have choice. But we'd go deep with AWS and say, the shared responsibility model they came up with. With partners and themselves to say, all right, who ultimately owns security? Like where is the responsibility? And AWS does a great job on database storage, compute networking. The customer is responsible for the OS, the platform, the workloads, the applications, et cetera, and the data. And that's really where we come in. And kind of help customers secure their posture, across all of their cloud environments. And so we take a cloud trail data. We look at all of the network data. We look at configuration data. We look at rules based data and policies, that customers might have. Anything we can get our hands on, to be able to ingest into our machine learning models. And everybody knows, the more data you put into a machine learning model, the finer grain it's going to be. The more insightful and the more impactful it's going to be. So the really hard computer science problem that we set out to go do seven years ago, when we founded the company, was figure out a way to ingest, process, and contextualize mass amounts of data, from multiple streams. And the make sense out of it. And in the traditional way of protecting customers' environments, you know, you write a rule, and you have this linear sort of connection to alerts. And so you know, if you really want to tighten it down and be really secure, you have thousands of alerts per day. If you want to move really fast and create more risk and exposure, turn the dial the other way. And you know, we wanted to say, let's turn it all the way over, but maintain the amount of alerts, that really are only the ones that they need to go focus on. And so by using machine learning and artificial intelligence, and pulling all these different disparate data systems into making sense of them, we can take, you know, your alert volume from thousands per day, to one or two high fidelity critical alerts per day. And because we know the trail, because we're mapping it through our data graph, our polygraph data platform, the time to remediate a problem. So figure out the needle in the haystack. And the time to remediate is 90, 95% faster, than what you have to do on your own. So we want to work with AWS, and make it really easy for builders to use AWS services, and accelerate their consumption of them. So we were one of the first to really embrace Fargate and Graviton. We're embedded in Security Hub. We're, you know, embedded in all of the core platforms. We focus on competencies, you know. So, you know, we got container competency. We've got security and compliance competencies. And we really just want to continue to jointly invest with AWS. To deliver a great customer outcome and a really integrated seamless solution. >> I got a lot to unpack there. >> Okay. >> My first question is, what you just described, that needle in the haystack. You're essentially doing that in near real time? >> Yep. >> Or real time even, with using AI inferencing. >> Yeah. >> Describe it a little better. >> You're processing all of this data, you know, how do you do so efficiently? You know. And so we're the fastest. We do it in near real time for everything. And you know, compared to our competitors, that are doing, you know, some lightweight side scanning technology, and maybe they'll do a check or a scan once a day or twice a day. Well, the adversaries aren't sleeping, you know, over the other period of time. So you want to make it as near real time as you can. For certain applications, you know, you get it down into minutes. And ideally over time, you want to get it to actual real time. And so there's a number of different technologies that we're deploying, and that we're putting patents around. To be able to do as much data as you possibly can, as fast as you possibly can. But it varies on the application of the workload. >> And double click in the technology. >> Yeah. >> Like tell me more about it. What is it? Is it a purpose-built data store? >> Yeah. Is it a special engine? >> Yeah. There's two primary elements to it. The first part is the polygraph data platform. And this is this ingestion engine, the processing engine, you know, correlation engine. That has two way APIs, integrates into your workflows, ingests as much data as we possibly can, et cetera. And unifies all the data feeds that you've got. So you can actually correlate and provide context. And security now in the cloud, and certainly in the future, the real value is being able to create context and correlate data across the board. And when you're out buying a bunch of different companies, that have different architectures, that are all rules based engines, and trying to stitch them together, they don't talk to each other. And so the hard part first, that we wanted to go do, was build a cloud native platform, that was going to allow us to build applications, that set on top of it. And that, you know, handled a number of different security requirements. You know, behavior based threat detection, obviously is one of the first services that we offered, because we're correlating all this data, and we're creating a baseline, and we're figuring out what normal is. Okay, well, if your normal behavior is this. What's abnormal? So you can catch not only a known bad threat, you know, with rules, et cetera, that are embedded into our engines, but zero day threats and unknown unknowns. Which are the really scary stuff, when you're in the cloud. So, you know, we've got, you know, application, you know, for behavioral threat detection. You have vulnerability management, you know. Where you're just constantly figuring out, what vulnerabilities do I have across my development cycle and my run time cycle, that I need to be able to keep up on, and sort of patch and remediate, et cetera. And then compliance. And as you're pulling all these data points in, you want to be able to deliver compliance reports really efficiently. And the Biden Administration, you know, is issuing, you know, all of these, you know, new edicts for regulations. >> Sure. Obviously countries in, you know, in Europe. They have been way ahead of the US, in some of these regulations. And so they all point to a need for continuous monitoring of your cloud environment, to ensure that you're, you know, in real time, or near real time complying with the environments. And so being able to hit a button based on all of this data and, you know, deliver a compliance report for X regulation or Y regulation, saves a lot of time. But also ensures customers are secure. >> And you mentioned your multi-cloud, so you started on AWS. >> Yeah. >> My observation is that AWS isn't out trying to directly, I mean, they do some monetization of their security, >> Yep. >> But it's more like security here it is, you know. Use it. >> Yeah. >> It comes with the package. Whereas for instance, take Microsoft for example, I mean, they have a big security business. I mean, they show up in the spending surveys. >> Yeah. >> Like wow, off the charts. So sort of different philosophies there. But when you say you're Multicloud, you're saying, okay, you run on AWS. Obviously you run on Azure. You run on GCP as well. >> Yeah. Yep. >> We coin this term, Supercloud, Dave. It's it's like Multicloud 2.0. The idea is it's a layer above the clouds, that hides the underlying complexity. >> Yep. >> You mentioned Graviton. >> Yep. >> You worry about Graviton. Your customer don't, necessarily. >> We should be able to extract that. >> Right. But that's going to be different than what goes on Microsoft. With Microsoft primitives or Google primitives. Are you essentially building a Supercloud, that adds value. A layer, >> Yeah. >> on top of those Hyperscalers. >> Yeah. >> Or is it more, we're just going to run within each of those individual environments. >> Yeah. No we definitely want to build the Security OS, you know, that sort of goes across the Supercloud, as you talk about. >> Yeah. >> I would go back on one thing that you said, you know, if you listen to Andy or Adam now, talk about AWS services, and all the future growth that they have. I mean, security is job one. >> Yeah. Right, so AWS takes security incredibly seriously. They need to. You know, they want to be able to provide confidence to their customers, that they're going to be able to migrate over safely. So I think they do care deeply it. >> Oh, big time. >> And are delivering a number of services, to be able to do it for their customers,. Which is great. We want to enhance that, and provide Multicloud flexibility, deeper dives on Kubernetes and containers, and just want to stay ahead, and provide an option for companies. You know, when you're operating in AWS, to have better or deeper, more valuable, more impactful services to go layer on top. >> I see. >> And then provide the flexibility, like you said, of, hey look, I want to have a consistent security posture across all of my clouds. If I choose to use other clouds. And you don't, the schema are different on all three. You know, all of the protocols are different, et cetera. And so removing all of that complexity. I was just talking with the CISO at our event last night, we had like 300 people at this kind of cocktail event. Boston's pretty cool in the summertime. >> Yeah. Boston in July is great. >> It's pretty great. They're like going, look, we don't want to hire a Azure specialist, and a AWS specialist, and you know, a GCP specialist. We don't want to have somebody that is deep on just doing container security, or Kubernetes security. Like we want you to abstract all of that. Make sense of it. Stay above it. Continue to innovate. So we can actually do what we want to do. Which is, we want to build. We want to build fast. Like the whole point here, is to enable developers to do their job without restriction. And they intuitively want to have, and build secure applications. And, you know, because they recognize the importance of it. But if it slows them down. They're not going to do it. >> Right. >> And so we want to make that as seamless as possible, on top of AWS. So their developers feel confident. They can move more and more applications over. >> So to your point about AWS, I totally agree. I mean, security's job one. I guess the way I would say it is, from a monetization standpoint. >> Yeah. >> My sense is AWS, right now anyway, is saying we want the ecosystem, >> Yeah. >> to be able to monetize. >> Yeah. >> We're going to leave that meat on the bone for those guys. Whereas Microsoft is, they sometimes, they're certainly competitive with the ecosystem, sometimes. End point. >> Yeah. >> They compete with CrowdStrike. There's no question about it. >> Yeah. >> Are they competitive with you in some cases? Or they're not there yet. Are you different. >> Go talk to George, about what he thinks about CrowdStrike and I, versus Microsoft. (Dave V laughing) >> Well, yeah. (Dave H laughing) A good point in terms of the depth of capability. >> Yeah. >> But there's definitely opportunities for the ecosystem there as well. >> Yeah. But I think on certain parts of that, there are more, there's higher competitiveness, than less. I think in the cloud, you know, having flexibility and being open, is kind of core to the cloud's premise. And I think all three of the Hyperscalers, want to provide a choice for customers. >> Sure. >> And they want to provide flexibility. They obviously, want to monetize as much as they possibly can too. And I think they have varying strategies of those. And I do think AWS is the most open. And they're also the biggest. And I think that bodes well for what the marketplace really wants. You know, if you are a customer, and you want to go all in for everything, with one cloud. All right, well then maybe you use their security stack exclusively. But that's not the trend on where we're going. And we're talking about a $154 billion market, growing at, you know, 15% for you. It's a $360 billion market. And one of the most fragmented in tech. Customers do want to consolidate on platforms. >> Absolutely. >> If they can consolidate on CSPs, or they consolidate on the Supercloud, I'm going to steal that from you, with the super cloud. You know, to be able to, you know, have a consistent clarity posture, for all of your workloads, containers, Kubernetes, applications, across multiple clouds. That's what we think customers want. That's what we think customers need. There's opportunity for us to build a really big, iconic security business as well. >> I'm going to make you laugh. Because, so AWS doesn't like the term Supercloud. And the reason is, because it implies that they're the infrastructure, kind of commodity layer. And my response is, you'll appreciate this, is Pure Storage has 70% gross margin. >> Yeah. Yep. >> Right. Look at Intel. You've got Graviton. You control, you can have Intel, like gross margin. So maybe, your infrastructure. But it's not necessarily commodity, >> Yeah. >> But it leaves, to me, it leaves the ecosystem value. Companies like Lacework. >> Amazon offers 220 something services, for customers to make their lives easier. There's all kinds of ways, where they're actually focusing on delivering value, to their customers that, you know, is far from commodity and always will be. >> Right. >> I think when it comes to security, you're going to have, you're going to need security in your database. Your storage. Your network compute. They do all of that, you know, monetize all of that. But customers also want to, you know, be able to have a consistent security posture, across the Supercloud. You know, I mean, they don't have time. I think security practitioners, and security hiring in general, hasn't had unemployment for like seven or 10 years. It's the hardest place to find quality people. >> Right. >> And so our goal, is if we can up level and enable security practitioners, and DevSecOps teams, to be able to do their job more efficiently, it's a good thing for them. It's a win for them. And not having to be experts, on all of these different environments, that they're operating in. I think is really important. >> Here's the other thing about Supercloud. And I think you'll appreciate this. You know, Andreesen says, all companies are software companies. Well, all companies are becoming SAS and Cloud companies. >> Yeah. >> So you look at Capital One. What they're doing with on Snowflake. You know, Goldman what they're doing with AWS. Oracle by Cerner, you know that. So industries, incumbents, are building their own Superclouds. They don't want to deal with all this crap. >> Yeah. >> They want to add their own value. Their own tools. Their own software. And their own data. >> Yeah. >> And actually serve their specific vertical markets. >> Yeah. A hundred percent. And they also don't want tools, you know. >> Right. >> I think when you're in the security business. It's so fragmented, because you had to write a rule for everything, and they were super nuanced. When you move to a data driven approach, and you actually have a platform, that removes the need to actually have very nuanced, specific expertise across all these different. Because you're combining it into your baseline and understanding it. And so, customers want to move from, you know, one of the biggest banks in North America, has 550 different point solutions for security. Thousands of employees to go manage all of this. They would love to be able to consolidate around a few platforms, that integrate the data flows, so they can correlate value across it. And this platform piece is really what differentiates our approach. Is that we already have that built. And everybody else is sort of working backwards from Legacy approaches, or from a acquired companies. We built it natively from the ground up. Which we believe gives us an advantage for our customers. An advantage of time to market speed, efficacy, and a much lower cost. Because you can get rid of a bunch of point solutions in the process. >> You mentioned Devs. Did you, you know, that continuous experience across clouds. >> Yep. >> Do you have like the equivalent of a Super PAs layer, that is specific to your use case? Or are you kind of using, I mean, I know you use off the shelf tooling, >> Yep. >> you allow your developers to do so, but is, is the developer experience consistent across the clouds? That's really what I'm asking? >> Well, I think it is. I mean, I was talking to another CEO of a company, you know, on the floor here, and it's focusing on the build side. You know we focus on both the build and the run time. >> Right. >> And we were talking about, you know, how many different applications, or how fragmented the developer experience is, with all the different tools that they have. And it's phenomenal. I mean, like this, either through acquisition or by business unit. And developers, like to have choice. Like they don't like to be told what to do or be standardized, you know, by anybody. Especially some compliance organization or security organization. And so, it's hard for them to have a consistent experience, that they're using a bunch of different tools. And so, yeah. We want to be able to integrate into whatever workload, a workflow a customer uses, in their Dev cycle, and then provide consistent security on top of it. I mean, for our own company, you know, we got about a thousand people. And a lot of them are developers. We want to make it as consistent as we possibly can, so they can build code, to deliver security efficacy, and new applications and new tools for us. So I think where you can standardize and leverage a platform approach, it's always going to be better. But the reality is, especially in large existing companies. You know, they've got lots of different tools. And so you need to be able to set above it. Integrate with it and make it consistent. And security is one of those areas, where having a consistent view, a consistent posture, a consistent read, that you can report to the board, and know that your efficacy is there. Whatever environment you're in. Whatever cloud you're on. Is super, super critical. >> And in your swim lane, you're providing that consistency, >> Yep. >> for Devs. But you're right. You've got to worry about containers. You got to worry about the run time. You got to worry about the platform. The DevSecOps team is, you know, becoming the new line of defense, right? I mean, security experts. >> Absolutely. Well, we have one customer, that we just have been working with for four years ago. And it's, you know, a Fortune, a Global 2000 company. Bunch of different industries grew through acquisition, et cetera. And four years ago, their CTO said, we're moving to the cloud. Because we want to drive efficiency and agility, and better service offerings across the board. And so he has engineering. So he has Dev, you know. He has operations. And he has security teams. And so organizationally, I think that'll be the model, as companies do follow entries in to sort of, you know, quote. Become software companies and move on their digital journeys. Integrating the functions of DevSecOps organizationally, and then providing a platform, and enabling platform, that makes their jobs easier for each of those personas. >> Right. >> Is what we do. You want to enable companies to shift left. And if you can solve the problems in the code, on the front end, you know, before it gets out on the run time. You're going to solve, you know, a lot of issues that exist. Correlating the data, between what's happening in your runtime, and what's happening in your build time, and being able to fix it in near realtime. And integrate with those joint workflows. We think is the right answer. >> Yeah. >> Over the long haul. So it's a pretty exciting time. >> Yeah. Shift left, ops team shield right. Hat, great to see you again. >> Good to see you, Dave. >> Thanks so much for coming on theCUBE. >> Thanks a lot. >> All Right. Keep it right there. We'll be back. Re:Inforce 2022. You're watching theCUBE from Boston. (calming music)

Published Date : Jul 27 2022

SUMMARY :

He's the co-CEO of Lacework. Hat is good for me. When you call me David, I mean, you guys have been on a tear. You got to be careful. of moving into the cloud, you know. And at the time, I think and do security the way you used to do it, the first line of defense. The CISOs is now the second line. You mentioned, you know, quadrillion. And so you know, what you just described, with using AI inferencing. And you know, compared to our competitors, What is it? Yeah. And the Biden Administration, you know, And so they all point to a need And you mentioned your security here it is, you know. the spending surveys. But when you say you're Multicloud, that hides the underlying complexity. You worry about Graviton. Are you essentially building a Supercloud, Or is it more, we're just going to run you know, that sort of you know, if you listen to that they're going to be to be able to do it for their customers,. And you don't, the schema and you know, a GCP specialist. And so we want to make I guess the way I would say it is, meat on the bone for those guys. They compete with CrowdStrike. with you in some cases? Go talk to George, the depth of capability. for the ecosystem there as well. I think in the cloud, you know, and you want to go all in for everything, You know, to be able to, you know, I'm going to make you laugh. You control, you can have But it leaves, to me, it to their customers that, you know, They do all of that, you know, And not having to be experts, And I think you'll appreciate this. So you look at Capital One. And their own data. And actually serve their And they also don't want tools, you know. to move from, you know, You mentioned Devs. you know, on the floor here, And we were talking about, you know, The DevSecOps team is, you know, And it's, you know, a Fortune, on the front end, you know, Over the long haul. Hat, great to see you again. Keep it right there.

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Aedan Macdonald, The Center for Justice at Columbia University | AWS re:Invent 2020 Partner Network


 

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 Special coverage sponsored by A. W s Global Partner Network. Hello. And welcome back to the cubes Live coverage of AWS reinvent 2020. It's virtual this year. Normally, were there in person doing the interviews, getting the signal from the noise. I'm John for your host. And where the cube virtual Got a great guest here. Aidan McDonald, Program manager, Justice through code the center of justice at the Columbia University. Um, this is a great story, Aiden. Thanks for coming on. Appreciate you taking the time to join me. >>Thanks so much for having me, John. >>So first of all talk about the mission of justice through code. This is such an awesome program. It really is impactful. It's one of those examples where, you know, people want to change the world. This is one. You can actually do it. And with code, take us through the mission. >>Yeah, So I think to understand the mission here, you have to understand a little bit about the problem, right? So the United States has, uh, 5% of the world's population, 25% of the global prison population. When people come home from prison, they're confronted with the reality that it's just very difficult to find jobs right. We have unemployment rates that are stratospherically higher than for the general population. And so, at the core of what we're doing in our mission is really to provide a pathway to career track employment for formerly incarcerated individuals to help support them and their families, and also to begin to change the negative stereotypes that air attached to the formerly incarcerated. >>It's an upwardly mobile mindset growth mindset. Also, there's new skills, always hard to do that, given the environmental conditions, what skills are you guys delivering? Take us through how it works. Give us a feel for kind of the skill sets and what gets what happens. >>Yeah, so we focused the program kind of in two distinct ways. So we have the technical skills aspect of the curriculum and the interpersonal skills. So as far as the technical skills go, we teach a version of a course that's taught to current Columbia MBA students eso that is set up. We teach the fundamentals of programming python, what we call phase one of the program. Then we move on to a P I S and data analysis. And then from there we do a Capstone software project. And for that project, groups of two or more students come together. Really? They conceptualize the design on day execute on building this project. And during that phase, of course, we actually pair students with mentors who are season software engineers from many of the top tech companies in the US and then in terms of the story in terms of the interpersonal skills, um, you know, we really focus on the skills that are necessary to success in the tech workforce s Oh, this is, you know, resumes, cover letters, interviewing skills and also really understanding that for many of our students, they don't have the networks that so maney people are fortunate enough to have that have gone through a traditional educational pathways. We bring in guest speakers from different corporations. Um, and, you know, having the students were quick mentors there really able to start to build that network to support themselves in their career transition when they complete the program. >>You know what's really amazing about what you're doing is and this really is so timing. The timing is perfect. Um, is that with the cloud and the tech scene, where we're at now is you don't you can come out. You can level up pretty quickly with things. In other words, you know, you could have someone go to an Ivy League school and be all the pedigree, and it doesn't matter because the skills now are different. You literally could be a surfing and be a couch potato surfing TV and get online and get an Amazon degree and through educate and and come out, make six figures. I mean, so there is definitely a path here. It's not like it's a slog. It's not like it's a huge leap, so the timing is perfect. We're seeing that across the board. There's more empty jobs, opening cybersecurity, cloud computing administration and with land in all these cool services, it's just gonna get easier. We hear that we see that clearly. What are some of the examples can you share of the graduates? What have they gone on to do? You mentioned some of the big tech companies. Take us through that that tipping point when the success kicks in. >>What s so you know, as I mentioned, one of the really integral parts of our program is this mentorship, right? So students finished the program. They often continue to work on their final projects, um, in conjunction with their mentors and then really focused during that time period on developing the skill sets that they'll need to have entering into junior level software development roles a tech companies For some of our students, this means, um, they've actually found out through the course of the class that they prefer front end web development, and they start working on JavaScript and full stack. And a few of our students have gone on to work it a or enter into apprenticeships that major tech companies, um, in those roles. And then we also have students who are focused on continuing in their development of their technical skill set with Python s. So we have some students who have actually entered into the Columbia University I t department on a big project. They're working on other students that have worked with freelance Web development agencies and projects really have a very diverse, talented group of students. And so from that we see that Everybody has different interests and definitely no one specific pathway but many successful pathways. >>How is Amazon Web services helping you guys? They contributing? They're giving you credits. What's their role here? >>Yeah, so they've provided kind of their expertise and support to the program. Just really excited to be collaborating with them on really looking at, How do we take this program to scale? Right. So we know that this is a problem that affect so many Americans, right? There's 77 million Americans currently with a criminal record. And so, um, you know, with the barriers to employment that come from having been incarcerated, I came to this work because I spent four years incarcerated for my own involvement in the marijuana industry in California Prior toe legalization. And so, you know, I saw a kind of these challenges, right? Firsthand of what it's like to try to get a job. And so, you know, we're just very invested in collaborating with AWS again. Thio bring this program to scale so we can really help uplift the communities that have been impacted by mass incarceration. >>It's interesting you talk about your personal experience, talk about this stigma that comes with that and how this breaks through that stigma. And this is really not only is a self esteem issues up this Israel, you could make more money. You have a career and literally the difference between going down or up is huge. Talk about the stigma and how this program changes the lives of the individual. >>Yeah, I think one important thing Thio consider hearing before understanding is this statement right? Is that unemployment or employment should say is the number one predictor of recidivism. Right? So we see that for people that have really jobs, they don't go back to prison on DSO. You know, we're just so invested in working on that and in terms of the stigma, uh, you know, it's just so prevalent, right? I can think through myself. Before I had going thio to prison, I had started to businesses. I was actually accepted. Thio go to Columbia University when I got out and I would apply the landscaping jobs, couldn't get to the final round, and the job offer would be rescinded, right? I mean, just this automatic sense of this person is not to be trusted because they have a history of incarceration. And so what we're really working on doing with our students is first redefining what people think it's possible, right? I saw this myself coming home from prison. The constant messaging is your life is over. You're never going to accomplish anything of meaning and so just kind of accept your lot on DSO. At first, we really focus on that with students in terms of sharing stories of success. Other people that we know that have taken this pathway on been really looking at providing leadership development. So when our students do enter into these companies, they're really able to service leaders and for people to understand that while you may have these assumptions because of depictions of people that have been incarcerated in the media, the end of they formerly incarcerated people, our brothers, sisters, family members and really deserve a chance in life. >>Yeah, And I got to say, you know, as someone who loves technology and been, uh, computer science when his early days, you know, there was a ladder, you have to have a requisite level now. I mean, you literally could be six weeks in and be fluent on Cloud Computing Administration as three bucket configurations. I mean, there are so many things that so many opportunities if you have some intelligence and some drive you're in, I mean, it's just Z pretty right? It's right there. It's great. It's attainable. It's not a fantasy, it's it's doable. And programs like yours are awesome. My hat's off to you for doing that. Thanks for sharing. >>Definitely. Thank you so much for having me >>final question before we go, How does people get involved? Can you share a minute? Give a plug for what you guys are doing? How do I get involved? How do I give support? Take a minute to >>get? Definitely. I mean, I think at the core like the most important thing that anybody can dio right is to look within the organizations that they work and work at and find out what your fair chance hiring practices are and see if if there's an opportunity to hire our students or other formerly incarcerated students. E think it also were very engaged, as I mentioned in our mentorship program s so people can confined US center for Justice that, uh, Colombia dot e d u on board, you know reach out, tow us about the mentorship program and really begin toe talk about this and share the stories of those who have succeeded and provide support Thio other people that will be returning home. >>All right. And thank you very much. Just a fur coat. Check it out. Columbia University 18 McDonald, Program manager. Thanks for joining us. I'm John for here in the Cube Cube Coverage Cube. Virtual coverage of reinvent 2020. Thanks for watching.

Published Date : Dec 4 2020

SUMMARY :

It's the Cube with digital It's one of those examples where, you know, people want to change the world. Yeah, So I think to understand the mission here, you have to understand a little bit about the problem, right? what skills are you guys delivering? And during that phase, of course, we actually pair students with mentors who are season software What are some of the examples can you share of the graduates? And a few of our students have gone on to work it a or How is Amazon Web services helping you guys? And so, um, you know, with the barriers to employment that come from having been incarcerated, And this is really not only is a self esteem issues up this Israel, you could make more money. these companies, they're really able to service leaders and for people to understand that while you may have Yeah, And I got to say, you know, as someone who loves technology and been, uh, Thank you so much for having me can dio right is to look within the organizations that they work and And thank you very much.

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Aedan Macdonald, The Center for Justice at Columbia University | AWS re:Invent 2020


 

>>from around the globe. >>It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel and AWS. Yeah. Hello and welcome back to the cubes. Live coverage of AWS reinvent 2020. It's virtual this year. Normally, were there in person doing the interviews, getting the signal from the noise. I'm Sean for your host. And where the cube virtual Got a great guest here. Aidan McDonald, Program manager, Justice through code, the center of justice at the Columbia University. Um, this is a great story, Aiden. Thanks for coming on. Appreciate you taking the time to join me. >>Thanks so much for having me, John. >>So first of all, talk about the mission of justice through code. This is such an awesome program. It really is impactful. It's one of those examples where, you know, people want to change the world. This is one. You can actually do it. And with code, take us through the mission. >>Yeah, so I think to understand the mission here, you have to understand a little bit about the problem, right? So the United States has 5% of the world's population, 25% of the global prison population when people come home from prison, they're confronted with the reality that it's just very difficult to find jobs right. We have unemployment rates that are stratospherically higher than for the general population. And so, at the core of what we're doing in our mission is really to provide a pathway to career track employment for formerly incarcerated individuals to help support them and their families, and also to begin to change the negative stereotypes that air attached to the formerly incarcerated. >>It's an upwardly mobile mindset growth mindset. Also, there's new skills always hard to do that right. Given the environmental conditions. What skills are you guys delivering? Take us through how it works. Give us a feel for kind of the skill sets and what gets what happens. >>Yeah, so we focused the program kind of in two distinct ways. So we have the technical skills aspect of the curriculum and the interpersonal skills. Soas faras. The technical skills go. We teach a version of a course that's taught to current Columbia MBA students eso that is set up. We teach the fundamentals of programming python in what we call phase one of the program. Then we move on to a P I s and data analysis. And then from there we do a Capstone software project. And for that project, groups of two or more students come together. Really? They conceptualize the design on day execute on building this project. And during that phase, of course, we actually pair students with mentors who are season software engineers from many of the top tech companies in the US And then in terms of the story in terms of the interpersonal skills, um, you know, we really focus on the skills that are necessary to success in the tech workforce s Oh, this is, you know, resumes, cover letters, interviewing skills and also really understanding that for many of our students, they don't have the networks that so maney people are fortunate enough to have that have gone through a traditional educational pathway. So we bring in guest speakers from different corporations. Um, and you know, having the students work with mentors there really able to start to build that network to support themselves in their career transition when they complete the program. >>You know what's really amazing about what you're doing is, and this really is so timing The timing is perfect. Um, is that with the cloud and the tech scene, where we're at now is you don't you can come out. You can level up pretty quickly with things. In other words, you know, you could have someone go to an Ivy League school and be all the pedigree, and it doesn't matter because the skills now are different. You literally could be a surfing and be a couch potato surfing TV and get online and get an Amazon degree and through educate and and come out, make six figures. I mean, so there is definitely a path here. It's not like it's a slog. It's not like it's a huge leap, so the timing is perfect. We're seeing that across the board. There's more empty jobs, opening cybersecurity, cloud computing administration, and with land in all these cool services, it's just gonna get easier. We hear that we see that clearly. What are some of the examples can you share of the graduates? What have they gone on to do? You mentioned some of the big tech companies take us through that, that tipping point when the success kicks in? >>Yeah, so you know, as I mentioned one of the really integral parts of our program. Is this mentorship? Right? So students finished the program. They often continue to work on their final projects, um, in conjunction with their mentors and then really focused during that time period on developing the skill sets that they'll need to have entering into junior level software development roles a tech companies For some of our students, this means, um, they've actually found out through the course of the class that they prefer front end web development and they start working on JavaScript and full stack. And a few of our students have gone on to work it a or enter into apprenticeships that major tech companies, um, in those roles. And then we also have students who are focused on continuing in their development of their technical skill set with Python s. So we have some students who have actually entered into the Columbia University I T department on a big project. They're working on other students that have worked with freelance Web development agencies and projects, um, really have a very diverse, talented group of students. And so from that we see that everybody has different interests and definitely no one specific pathway, but many successful pathways. >>How is Amazon Web services helping you guys? They contributing? They're giving you credits. What's their role here? >>Yeah, so they've provided kind of their expertise and support to the program. Just really excited to be collaborating with them on really looking at, How do we take this program to scale? Right. So we know that this is a problem that affect so many Americans, right? There's 77 million Americans currently with a criminal record. And so, um, you know, with the barriers to employment that come from having been incarcerated, I came to this work because I spent four years incarcerated for my own involvement in the marijuana industry in California Prior toe legalization. And so, you know, I saw kind of these challenges right firsthand of what it's like to try to get a job. And so, you know, we're just very invested in collaborating with AWS again. Thio bring this program to scale so we can really help uplift the communities that have been impacted by mass incarceration. >>It's interesting you talk about your personal experience, talk about this stigma that comes with that and how this breaks through that stigma and this is really not only is a self esteem issues up this Israel, you could make more money. You have a career and literally the difference between going down or up is huge. Talk about the stigma and how this program changes the lives of the individual. >>Yeah, I think one important thing Thio consider hearing before understanding is this statement, right? Is that, um, unemployment or employment should say is the number one predictor of recidivism. Right. So we see that for people that have really jobs, they don't go back to prison on dso Um you know, we're just so invested in working on that and in terms of the stigma, um, you know, it's just so prevalent, right? I could think through myself. Before I had gone thio to prison, I had started to businesses. I was actually accepted. Thio go to Columbia University when I got out and I would apply the landscaping jobs, couldn't get to the final round, and the job offer would be rescinded, right? I mean, it's just this automatic sense of this person is not to be trusted because they have a history of incarceration And so what we're really working on doing with our students is first redefining what people think it's possible, right? I saw this myself coming home from prison. The constant messaging is your life is over. You're never going to accomplish anything of meaning and so just kind of accept your lot on DSO. At first, we really focus on that with students in terms of sharing stories of success. Other people that we know that have taken this pathway on been really looking at providing leadership development. So when our students do enter into these companies, they're really able to service leaders and for people to understand that while you may have these assumptions because of depictions of people that have been incarcerated in the media, the end of they formerly incarcerated people, our brothers, sisters, family members and really deserve a chance in life. >>Yeah, And I got to say, you know, as someone who loves technology and been, uh, computer science when his early days, you know, there was a ladder, you have to have a requisite level now. I mean, you literally could be six weeks in and be fluent on Cloud Computing Administration as three bucket configurations. I mean, there are so many things that so many opportunities if you have some intelligence and some drive you're in, I mean, it's just Z pretty right? It's right there. It's great. It's attainable. It's not a fantasy, it's it's doable. And programs like yours are awesome. My hat's off to you for doing that. Thanks for sharing. >>Definitely. Thank you so much for having me >>final question Before we go, How does people get involved? Can you share a minute? Give a plug for what you guys are doing? How do I get involved? How do I give support? Take a minute to >>get? Definitely. I mean, I think at the core like the most important thing that anybody can dio right is to look within the organizations that they work and work at and find out what your fair chance hiring practices are and see if if there's an opportunity to hire our students or other formerly incarcerated students. E think also were very engaged, as I mentioned in our mentorship program s so people can confined US center for Justice that, um, Colombia dot e d u on bond, you know, reach out, tow us about the mentorship program and really begin toe talk about this and share the stories of those who have succeeded and provide support Thio other people that will be returning home. >>All right. And thank you very much. Just a fur coat. Check it out. Columbia University 18 McDonald, Program manager. Thanks for joining us. I'm John for here in the Cube Cube Coverage Cube. Virtual coverage of reinvent 2020. Thanks for watching.

Published Date : Dec 2 2020

SUMMARY :

It's the Cube with digital coverage of AWS reinvent 2020 It's one of those examples where, you know, people want to change the world. Yeah, so I think to understand the mission here, you have to understand a little bit about the problem, right? What skills are you guys delivering? in the tech workforce s Oh, this is, you know, resumes, What are some of the examples can you share of the graduates? Yeah, so you know, as I mentioned one of the really integral parts of our program. How is Amazon Web services helping you guys? And so, um, you know, with the barriers to employment that come from having been incarcerated, It's interesting you talk about your personal experience, talk about this stigma that comes with that and how this breaks through that they don't go back to prison on dso Um you know, we're just so invested Yeah, And I got to say, you know, as someone who loves technology and been, uh, Thank you so much for having me you know, reach out, tow us about the mentorship program and really begin toe talk about this and share And thank you very much.

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Joel Lipkin, Four Points Technology & Ryan Hillard, US SBA | AWS Public Sector Awards 2020


 

>> Announcer: From around the globe, it's theCUBE with digital coverage of AWS Public Sector Partner Awards brought to you by Amazon web services. >> Hi, and welcome back. I'm Stu Miniman. This is theCUBE coverage of the AWS Public Sector Partner Awards. We going to be talking about the Customer Obsession Mission award winner. So happy to welcome to the program. First of all, welcoming back Joel Lipkin. He is the chief operating officer of Four Points Technologies, which is the winner of the aforementioned award and joining him one of his customers, Ryan Hillard, who is a assistant developer with the United States, Small Business Administration, and of course the SBA, an organization that a lot of people in the United States have gotten more familiar with this year. Joel and Ryan, thanks so much for joining us. >> Hi Stu? >> Hey Stu; Thank you. >> All right, so Ryan, I'm sorry, Joel, as I mentioned, you've been on the program, but maybe just give us a sketch if you would, Four Points, your role, your partnership with AWS. >> Sure, I'm Joel Lipkin. I'm the chief operating officer at Four Points Technology, Four Points is a value added technology reseller focused on the federal government and we've been working with federal customer since 2002. We're a service disabled veteran owned small business, and we've been in a Amazon partner since 2012. >> Wonderful; Ryan, if you could, obviously, as I mentioned, the SBA, a lot of people know for the PPP in 2020, if you could tell us a little bit about your role in your organization and tee up for us, if you would, the project that Four Points was involved with that you worked on. >> Sure; so I worked for the chief information officer and I don't have this official title, but I am the de facto manager of our Amazon Web Services presence. This year, we've had a very exciting time with what's been happening in the world, the Paycheck Protection Program, and the SBA have been kind of leveraged to help the US economy recover in the face of the pandemic. And a key part of that has been using Amazon Web Services and our partnership with Four Points Technology to launch new applications to address those requirements. >> Wonderful; Joel, maybe a connect for us. How long has Four Points been working with the SBA and start to give us a little bit more about the projects that you're working together, which I understand was predated the COVID incidents. >> Sure; we've been with SBA for several years now. And SBA was one of the earlier federal agencies that really saw the value in separating their procurement for cloud capacity, from the development implementation and managed services that they either did internally or use third party contractors for. So, Four Points came in as a true value added reseller of cloud to SBA providing cloud capacity and also Amazon professionals services. >> All right; so Ryan bring us in a little bit, the project that we're talking about here, what was the challenge? What were the goals you were looking to accomplish? Help flush out a little bit, what you're doing there? >> Yeah, so most recently Four Points partnered with us to deliver Lender Gateway. Lender Gateway is an application for small community oriented lenders to submit Paycheck Protection loans. So some of these lenders don't have giant established IT departments like big banks do, and they needed an easier way to help their customers. We built that application in six days and I called the Four Points cloud manager on a Saturday, and I said, help, help, I need two accounts by three o'clock and Four Points was there for us. We got new accounts set up. We were able to build the application and deploy it literally in a week and meet the requirements set for us. And that system has now moved billions of dollars of loans. I don't know the exact amount, but has done an incredible amount of work and it wouldn't have been possible without our partnership with Four Points. So we're really excited about that. >> Yeah, If I could drill in there for a second. Absolutely it's been an unprecedented, how fast that amount of money move through the legislature to out to the end user. Help us understand a little bit, how much were you using AWS technologies and solutions that Four Points had helped you with, and how much of this was kind of a net new, you said you built a new application, you had to activate some things fast, help us understand a little bit more. >> Yeah, that's so that's a great question. So we have five major systems in AWS today. And so we're very comfortable with AWS service offerings. What's interesting about Lender Gateway is that it's the first application we've built from scratch in a totally serverless capacity. So one of the hard technical requirements of the Paycheck Protection Program is that, it has huge amounts of demand. So when we're launching a system, we need to know that that system will not go down no matter how much traffic it receives or how many requests it has to handle. So we leaned on services like AWS Lambda, S3, dynamoDB, all of their serverless offerings to make sure that under no circumstances could this application fail. And it never did. We never even actually saw a performance degradation. So a massive success from my perspective as the program manager. >> well, that's wonderful. Joel, of course, you talk about scalability, you talk about uptime. Those are really the promise the public cloud has brought. Ryan did a good job of teeing out some of the services from AWS, but help us understand architecturally how you help put that together, and, the various pieces underneath. >> Yes Stu, it's interesting. Four Points is really focused on delivering capacity. Our delivery model is very much built around giving our customers like Ryan full control over their cloud environments so that they can use it as transparently as though they were working with Amazon directly. They have access to all of the 200+ services that AWS has. They also have a direct access to billing and usage information that lets them really optimize things. So this is sort of a perfect example of how well that works because SBA and Ryan knew their requirements better than anyone. And they were able to leverage exactly the right AWS tools without having to apply to use them. It was as though they were working directly with AWS and the AWS environment on the technology side. And I will say SBA has been really a leader in using of variety of AWS services beyond standard compute and storage, not just in a tested environment, but in a live very, very robust, really large environment. >> Yeah, right, and I was excited to hear about your Lambda usage, how you're building with the serverless architecture there. Could you just bring us through a little bit, how you ramped up on that, any tools or community solutions that you were leveraging to make sure you understood that and any lessons you learned along the way as you were building that application and rolling it out? >> Yeah, that's a great question. So I think one of the mistakes that I see program managers make all the time is thinking that they can migrate a workload to the cloud and keep it architecturally the same way it was. And what they quickly find out is that their old architecture that ran in their on premise data center might actually be more expensive in the cloud than it was in their data center. And so when you're thinking about migrating a workload, you really need to come in with the assumption that you will actually be redesigning that workload and building the system in cloud native technology. You know, the concept of Lambda is so powerful, but it didn't exist for, you know, it didn't exist 20 years ago when some of these systems and applications were being written and now being able to leverage Lambda to only use exactly the compute you need, means you can literally pay pennies on the dollar. One of the interesting things about the PPP program and everything happening in the world is that our main website, sba.gov is now serving a a hundred or a thousand times more traffic daily than it was used to doing. But because we lean on serverless technology like Lambda, we have scaled non-linearly in terms of costs. So we're only paying like two or three times more than we used to pay per month, but we're doing a hundred or a thousand times more work. That's a win, that's a huge victory for cloud technology, in my opinion. >> Yeah, and on that point, I think the other thing that SBA did really amazingly well was take advantage of first reserved instances. But I think it was the day that Amazon announced savings plans as a cost control mechanism. Ryan and SBA were on them. They were our first customer to use savings plans. And I think there were probably the first customer in the federal space to use them. So it's not just using the technology smart, it's using the cost control tools really well also. >> Yeah, so Stu, I wanted to jump in here just because I'm so glad Joel brought that up. I was describing how workloads need to morph and transform as they move from legacy setups into more cloud native ones. Well, we were the first federal agency to buy savings plans. And for folks who don't know savings plans essentially make your reserved instances fungible across services. So if you had a workload that was running on EC2 before, now instead of buying a reserved instance at a certain instant size, a certain family, you can instead buy a savings plan. And when your workload is ready to be moved from EC2 to something a little bit more containerized or cloud native, like Fargate or Lambda, then you don't actually forego your reserved instance. I see program managers get into this weird spot where they bought reserved instances, so they feel like they need to use them for a whole year. So they don't upgrade their system until their reserved instances expire. And that's really the tail wagging the dog. We were very excited about savings plans. I think we bought them four days after they came out and they have enabled us to do things like, be very ambitious with how we rethink our systems and how we rebuild them. And I'm so glad you brought that up to all because it's been such a key thing over this last year. >> Yeah, it's been a really interesting discussion point I've been having the last few years, is that the role between developers and that, that finance piece. So, Ryan, who is it that advises you on this? Is there somebody on the finance team from the SBA? is it Four Points? You know, being aware of savings plan, it was something that was announced at Reinvent, but it takes a while for that to trickle and oftentimes developers don't need to think about or think that they don't need to think about the financial implications of how they're architecting things. So how, how does that communication and decision making happen? >> That's such a great question. I think it goes back to how Four Points is customer obsessed. One of our favorite things about using a small business reseller like Four Points instead of dealing directly with our cloud service provider is that Four Points provides us a service where every quarter they do an independent assessment of our systems, how much we're spending and what that looks like from a service breakdown. And then we get that perspective and that opinion, and we enrich it with our conversation with our AWS account manager, with our finance people. But having that third party independent person come in and say, "Hey, this is what we think" has been so powerful because Joel and Dana and team have always had observations that nobody else has had. And those kinds of insights are nice to have, when you have people who are suspicious of a vendor telling you to buy more things with them, because they're the vendor >> From the lessons you've learned there, any final advice that you'd give to your peers out there, and how will you take what you've learned working on this project to other things, either in the SBA or in talking with your peers in other organizations. >> So I have two big things. So one is go use a small business reseller. I would be remiss if I didn't use this opportunity to tell you as a member of the US Small Business Administration, that there are some really, really great service providers out there. They are part of our programs like Four Points, and they can help you achieve that balance between trusting your cloud service provider and having that a third party entity that can come in and, call bowl and also call Yahtzee. So recognize good things and recognize bad things. So that would be number one. And then number two is moving to the cloud is so often sold as a technology project. And it's like 20% technology and 80% culture and workforce change. And so be honest with yourselves and your executive teams that this isn't a technology project. This is, we going to change how we do business project, and we going to change the culture of this organization kind of project. >> All right; and Joel, I'll let you have the final word on lessons learned here and also about Four Points and congratulations again, the Customer Obsession Mission award winner. >> Great, thanks Stu, we're so appreciative to Amazon for their recognition and to Ryan and SBA for giving us the opportunity to support such an important program. We are a small business, we are very much focused on delivering what our customers need in the cloud. And it's just such a tremendous feeling to be able to work on a program like this that has such, such payoff for the whole country. >> All right, Well, Joel and Ryan, thank you so much for sharing your updates, such an important project this year. Thanks so much. >> Thank you Stu. >> Thanks >> Stay with us for more covered from the AWS Public Sector Partner awards. I'm Stu Miniman, and thank you for watching theCUBE.

Published Date : Aug 6 2020

SUMMARY :

Announcer: From around the globe, and of course the SBA, been on the program, focused on the federal government that you worked on. and the SBA have been kind of leveraged more about the projects from the development and I called the Four Points and how much of this So one of the hard technical Those are really the promise on the technology side. and any lessons you learned along the way and everything happening in the world in the federal space to use them. And that's really the is that the role between developers and we enrich it with our conversation and how will you take what and they can help you achieve the Customer Obsession such payoff for the whole country. thank you so much for and thank you for watching theCUBE.

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Shanthi Vigneshwaran, FDA | CUBE Conversation, June 2020


 

>> Narrator: From theCUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a cube conversation. >> Everyone welcome to this cube conversation here in the Palo Alto cube studios. I'm John Furrier your host of theCUBE, with a great guest here, Shanthi Vigneshwaran, who is with the Office of Strategic programs in the Center for Drug Evaluation and Research within the US Food and Drug Administration, FDA, is the Informatica Intelligent Disrupter of the Year award. Congratulations, Shanthi welcome to this cube conversation. Thanks for joining me. >> Thank you for having me. >> Congratulations on being the Informatica Intelligent Disrupter of the year award. Tell us more about the organization. I see FDA everyone's probably concerned these days making sure things going faster and faster, more complex, more things are happening. Tell us about your organization and what you work on. >> FDA is huge, our organization is Center for Drug Evaluation research. And its core mission is to promote public health by ensuring the availability of safety and effective drugs. For example any drugs you go and buy it in the pharmacy today, Our administration helps in trying to approve them and make sure it's so in term of quality and integrity of the marketed products in the industry. My office is specifically Office of strategic programs whose mission is to transform the drug regulatory operations with the customer focus through analytics and informatics. They work towards the advancement for the CDERs public health mission. >> What are some of the objectives that you guys have? What are some things you guys have as your core top objectives of the CDER, the drug research group? >> The core objectives is we wanted to make sure that we are promoting a safe use of the marketed drugs. We want to make sure there's the availability of the drugs that are going to the patients are effective. And also the quality of the drugs that are being marketed are able to protect public health. >> What are some of the challenges that you guys have to take in managing the pharmaceutical safety, because I can only imagine certainly now that supply chains, tracing, monitoring, drug efficacy, safety, all these things are happening. What are some of the challenges in doing all this? >> In our office there are challenges in three different areas. One is the drug regulation challenges because as drugs are being more advanced and as there are more increasingly complex products, and there are challenging in the development area of the drugs, we wanted to make sure here we have a regulation that supports any advancement in science and technology. The other thing is also Congress is actually given new authorities and roles for the FDA to act. For example the Drug Quality and Security Act, which means any drug that's they want to track and trace all the drugs that goes to the public is they know who are the distributors, who are the manufacturers. Then you have the 21st Century Cures Act, and also the CARES Act package which was recently assigned, which also has a lot of the OTC drug regulatory modernization. Then there's also the area of globalization because just as disease don't have any borders, Product safety and quality are no longer on one country. It's basically a lot of the drugs that are being manufactured are overseas and as a result we wanted to make sure there are 300 US ports. And we want to make sure the FDA regulated shipments are coming through correctly to proper venues and everything is done correctly. Those are some the challenges we have to deal with. >> So much going on a lot of moving purchase as people say, there's always drug shortages, always demand, knowing that and tracking it. I can only imagine the world you're living in because you got to be innovative, got to be fast, got to be cutting edge, got to get the quality right. Data is super critical. And can you share take a minute to explain some of the data challenges you have to address and how you did that. Because I mean I could almost just my mind's blown just thinking about how you live it every day. Can you just share some of those challenges that you had to address and how did you do? >> Some of the key challenges we actually see is we have roughly 170,000 regulatory submissions per year. There are roughly 88,000 firm registration and product listing that comes to us, and then there are more than 2 million adverse event reports. So with all these data submissions and organization as such as us we need it, we have multiple systems where this data is acquired and each has its own criteria for validating the data. Adding to it are internal and external stakeholders also want certain rules and the way the data is being identified. So we wanted to make sure there is a robust MDM framework to make sure to cleanse and enrich and standardize the data. So that it basically make sure the trust and the availability and the consistent of the data, is being supplied to published to the CDER regulatory data users. >> You guys are dealing with- >> Otherwise like it's almost to give them a 360 degree view of the drug development lifecycle. Through each of the different phases, both pre market which is before the drug hits the market, and then after it hits the market. We still want to make sure the data we receive still supports a regulatory review and decision making process. >> Yeah, and you got to deliver a consumer product to get people at the right time. All these things have to happen, and you can see it clearly the impacts everyday life. I got to ask you that the database question 'cause the database geek inside of me is just going okay. I can only imagine the silos and the different systems and the codes, because data silos is big document. We've been reporting on this on theCUBE for a long time around, making data available automation. All these things have to happen if there's data availability. Can you just take one more minute talk about some of the challenges there because you got to break down the silos at the same time you really can't replace them. >> That's true. What we did was we did leave it more of us I mean, step back like seven years ago, when we did the data management. We had like a lot of silo systems as well. And we wanted to look at we wanted to establish a, we knew we wanted to establish a master data management. So we took a little bit more of a strategic vision. And so what we ended up saying is identifying what are the key areas of the domain that will give us some kind of a relationship. What are the key areas that will give us the 360 degree lifecycle? So that's what we did. We identified the domains. And then we took a step back and said and then we looked at what is the first domain we wanted to tackle. Because we know what are these domains are going to be. And then we were like, okay, let's take a step back and say which is the domain we do it first that will give us the most return on investment, which will make people actually look at it and say, hey, this makes sense. This data is good. So that's what we ended up looking at. We looked at it as at both ends. One is from a end user perspective. Which is the one they get the benefit out of and also from a data silo perspective which is the one data domains that are common, where there's duplication that we can consolidate. >> So that's good. You did the work up front. That's critical knowing what you want to do and get out of it. What were some of the benefits you guys got out of it. From an IT standpoint, how does that translate to the business benefits? And what was achieved? >> I think the benefits we got from the IT standpoint was a lot of the deduplication was not theirs. Which basically means like a lot of the legacy systems and all of the manual data quality work we had to do we automated it. We had bots, we also had other automation process that we actually put into work with Informatica, that actually helped us to make sure it's the cost of it actually went for us considerably. For example it used to take us three days to process submissions. Now it takes us less than 24 hours to do it, for the users to see the data. So it was a little bit more, we saw the, we wanted to look at what are the low hanging fruits where it's labor intensive and how can we improve it. That's how we acted there. >> What are some of the things that you're experiencing? I mean, like, we look back at what it was before, where it is now? Is it more agility, you more responsive to the changes? Was it an aspirin? Was it a complete transformation? Was some pain reduced? Can you share just some color commentary on kind of before the way it was before and then what you're experiencing now? >> So for us, I think before, we didn't know where the for us, I mean, I wouldn't say we didn't know it, when we have the data, we looked at product and it was just product. We looked at manufactured they were all in separate silos. But when we did the MDM domain, we were able to look at the relationship. And it was very interesting to see the relationship because we now are able to say is. for example, if there is a drug shortage during due to hurricane, with the data we have, we can narrow down and say, Hey, this area is going to be affected which means these are the manufacturing facilities in that area , that are going to be not be able to function or impacted by it. We can get to the place where the hurricane tracks we use the National Weather Service data, but it helps us to narrow down some of the challenges and we can able to predict where the next risk is going to be. >> And then before the old model, there was either a blind spot or you were ad hoc, probably right? Probably didn't have that with you. >> Yeah, before you were either blind or you're doing in a more of a reactionary not proactively. Now we are able to do a little bit more proactively. And even with I mean drug shortages and drug supply chain are the biggest benefit we saw with this model. Because, for us the drug supply chain means linking the pre and post market phases that lets us know if there's a trigger and the adverse events, we actually can go back to the pre market side and see where the traceability is who's at that truck. What are all the different things that was going on. >> This is one of the common threats I see in innovation where people look at the business model and data and look at it as a competitive advantage, in this case proactivity on using data to make decisions before things happen, less reactivity. So that increases time. I mean, that would probably you're saying, and you get there faster, if you can see it, understand it, and impact the workflows involved. This is a major part of the data innovation that's going on and you starting to see new kinds of data whereas has come out. So again, starting to see a real new changeover to scaling up this kind of concept almost foundationally. What's your thoughts just as someone who's a practitioner in the industry as you start to get this kind of feelings and seeing the benefits? What's next, what do you see happening because you haven't success. How do you scale it? What how do you guys look at that? >> I think our next is we have the domains and we actually have the practices that we work. We look at it as it's basically data always just changes. So we look at is like what are some of the ways that we can improve the data? How can we take it to the next level. Because now they talk about power. They are also warehouse data lakes. So we want to see is how can we take these domains and get that relationship or get that linkages when there is a bigger set of data that's available for us. What can we use that and it actually we think there are other use cases we wanted to explore and see what is the benefit that we can get a little bit more on the predictability to do like post market surveillance or like to look at like safety signals and other things to see what are the quick things that we can use for the business operations. >> It's really a lot more fun. You're in there using the data. You're seeing the benefits and real. This is what clouds all about the data clouds here. It's scaling. Super fun to talk about and excited. When you see the impacts in real time, not waiting for later. So congratulations. You guys have been selected and you receive recognition from Informatica as the 2020, Intelligent Disrupter of the year. congratulations. What does that mean for your organization? >> I think we were super excited about it. But one thing I can say is when we embarked on this work, like seven years ago, or so, problem was like we were trying to identify and develop new scientific methods to improve the quality of our drugs to get that 360 degree view of the drug development lifecycle. The program today enables FDA CDER to capture all the granular details of data we need for the regulatory data. It helps us to support the informed decisions that we have to make in real time sometimes or and also to make sure when there's an emergency, we are able to respond with a quick look at the data to say like, hey this is what we need to do. It also helps the teams. It recognizes all the hard work. And the hours we put into establishing the program and it helped to build the awareness within FDA and also with the industry of our political master data management is. >> It's a great reward to see the fruits of the labor and good decision making I'm sure it was a lot of hard work. For folks out there watching, who are also kind of grinding away in some cases, some cases moving faster. You guys are epitome of a supply chain that's super critical. And speed is critical. Quality is critical. A lot of days critical. A lot of businesses are starting to feel this as part of an integrated data strategy. And I'm a big proponent. I think you guys have have a great example of this. What advice would you have for other practitioners because you got data scientists, but yet data engineers now who are trying to architect and create scale, and programmability, and automation, and you got the scientists in the the front lines coming together and they all feed into applications. So it's kind of a new things go on. Your advice to folks out there, on how to do this, how to do it right, the learnings, share. >> I think the key thing I, at least for my learning experience was, it's not within one year you're going to accomplish it, It's kind of we have to be very patient. And it's a long road. If you make mistakes, you will have to go back and reassess. Even with us, with all the work we did, we almost went back a couple of the domains because we thought like, hey, there are additional use cases how this can be helpful. There are additional, for example, we went with the supply chain, but then now we go back and look at it and say like, hy, there may be other things that we can use with the supply chain not just with this data, can we expand it? How can we look at the study data or other information so that's what we try to do. It's not like you're done with MDM and that is it. Your domain is complete. It's almost like you look at it and it creates a web and you need to look at each domain and you want to come back to it and see how it is you have to go. But the starting point is you need to establish what are your key domains. That will actually drive your vision for the next four or five years. You can't just do bottom up, it's more of like a top down approach. >> That's great. That's great the insight. And again, it's never done. I mean, it's data is coming. It's not going away. It's going to be integrated. It's going to be shared. You got to scale it up. A lot of hard work. >> Yeah. >> Shanthi thank you so much for the insight. Congratulations on your receiving the Disrupter of the Year Award winner for Informatica. congratulations. Intelligence >> Yeah, thank you very much for having me. Thank you. >> Thank you for sharing, Shanthi Vigneshswaran is here, Office of Strategic programs at the Center for Drug Evaluation and Research with the US FDA. Thanks for joining us, I'm John Furrier for theCUBE. Thanks for watching. (soft music)

Published Date : Jun 23 2020

SUMMARY :

leaders all around the world, of the Year award. Disrupter of the year award. and integrity of the marketed of the drugs that are going What are some of the all the drugs that goes to the public of the data challenges you have to address and the way the data is being identified. of the drug development lifecycle. of the challenges there because you got What are the key areas that will give us You did the work up front. and all of the manual data quality work of the challenges and or you were ad hoc, probably right? and the adverse events, and seeing the benefits? on the predictability to do Disrupter of the year. And the hours we put into of the labor and good decision making couple of the domains That's great the insight. the Disrupter of the Year Yeah, thank you very at the Center for Drug

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Teresa Carlson, AWS Worldwide Public Sector | AWS re:Invent 2019


 

>>long from Las Vegas. It's the Q covering a ws re invent 2019. Brought to you by Amazon Web service is and in along with its ecosystem partners. >>Welcome back to the Cube. Here live in Las Vegas for aws reinvent I'm John for a devil on the ads, always extracting the signal from the noise. We're here for 1/7 reinvent of the eight years that they've had at what a wave. One of the biggest waves is the modernization of procurement, the modernization of business, commercial business and the rapid acceleration of public sector. We're here with the chief of public sector for AWS. Teresa Carlson, vice president publics that globally great to have you >>so great to have the Q begin this year. We appreciate you being here, >>so we're just seeing so much acceleration of modernization. Even in the commercial side, 80 talks about transformation. It's just a hard core on the public sector side. You have so many different areas transforming faster because they haven't transformed before. That's correct. This is a lot of change. What's changed the most for you in your business? >>Well, again, I'll be here 10 years this mad that A B s and my eighth reinvent, and what really changed, which was very exciting this year, is on Monday. We had 550 international government executives here from 40 countries who were talking about their modernization efforts at every level. Now again, think about that. 40 different governments, 550 executives. We had a fantastic day for them planned. It was really phenomenal because the way that these international governments or think about their budget, how much are they going to use that for maintaining? And they want to get that lesson last. Beckett for Modernization The Thin John It's a Beckett for innovation so that they continue not only modernized, but they're really looking at innovation cycles. So that's a big one. And then you heard from somewhere customers at the breakfast this morning morning from from a T. F. As part of the Department of Justice. What they're doing out. I'll call to back on firearms. They completely made you the cloud. They got rid of 20 years of technical debt thio the Veterans Administration on what they're digging for V A benefits to educational institutions like our mighty >>nose, and he had on stages Kino, Cerner, which the health care companies and what struck me about that? I think it relates to your because I want to get your reaction is that the health care is such an acute example that everyone can relate to rising costs. So cloud helping reduce costs increase the efficiencies and patient care is a triple win. The same thing happens in public sector. There's no place to hide anymore. You have a bona fide efficiencies that could come right out of the gate with cloud plus innovation. And it's happening in all the sectors within the public sector. >>So true. Well, Cerner is a great example because they won the award at V a Veteran's administration to do the whole entire medical records modernization. So you have a company on stage that's commercial as I met, commercial as they are public sector that are going into these large modernization efforts. And as you sit on these air, not easy. This takes focus and leadership and a real culture change to make these things happen. >>You know, the international expansion is impressive. We saw each other in London. We did the health care drill down at your office is, of course, a national health. And then you guys were in Bahrain, and what I deserve is it's not like these organizations. They're way behind. I mean, especially the ones that it moved to. The clouds are moving really fast. So well, >>they don't have as much technical debt internationally. It's what we see here in the U. S. So, like I was just in Africa and you know what we talked about digitizing paper. Well, there's no technology on that >>end >>there. It's kind of exciting because they can literally start from square one and get going. And there's a really hunger and the need to make that happen. So it's different for every country in terms of where they are in their cloud journey. >>So I want to ask you about some of the big deals. I'll see Jet eyes in the news, and you can't talk about it because it's in protest and little legal issues. But you have a lot of big deals that you've done. You share some color commentary on from the big deals and what it really means. >>Yeah, well, first of all, let me just say with Department of Defense, Jet are no jet. I We have a very significant business, you know, doing work at every part of different defense. Army, Navy, Air Force in the intelligence community who has a mission for d o d terminus a t o N g eight in a row on And we are not slowing down in D. O d. We had, like, 250 people at a breakfast. Are Lantian yesterday giving ideas on what they're doing and sharing best practices around the fence. So we're not slowing down in D. O d. We're really excited. We have amazing partners. They're doing mission work with us. But in terms of some really kind of fend, things have happened. We did a press announcement today with Finn Rat, the financial regulatory authority here in the U. S. That regulates markets at this is the largest financial transactions you'll ever see being processed and run on the cloud. And the program is called Cat Consolidated Audit Trail. And if you remember the flash crash and the markets kind of going crazy from 2000 day in 2008 when it started, Finneran's started on a journey to try to understand why these market events were happening, and now they have once have been called CAT, which will do more than 100 billion market points a day that will be processed on the cloud. And this is what we know of right now, and they'll be looking for indicators of nefarious behavior within the markets. And we'll look for indicators on a continuous basis. Now what? We've talked about it. We don't even know what we don't know yet because we're getting so much data, we're going to start processing and crunching coming out of all kinds of groups that they're working with, that this is an important point even for Finn rep. They're gonna be retiring technical debt that they have. So they roll out Cat. They'll be retiring other systems, like oats and other programs that they >>just say so that flash crash is really important. Consolidated, honest, because the flash crash, we'll chalk it up to a glitch in the system. Translation. We don't really know what happened. Soto have a consolidated auto trail and having the data and the capabilities, I understand it is really, really important for transparency and confidence in the >>huge and by the way, thinner has been working with us since 2014. They're one of our best partners and are prolific users of the cloud. And I will tell you it's important that we have industries like thin red regulatory authorities, that air going in and saying, Look, we couldn't possibly do what we're doing without cloud computing. >>Tell me about the technical debt because I like this conversation is that we talk about in the commercial side and developer kind of thinking. Most businesses start ups, Whatever. What is technical debt meet in public sector? Can you be specific? >>Well, it's years and years of legacy applications that never had any modernization associated with them in public sector. You know now, because you've talked about these procurement, your very best of your very savvy now public sector >>like 1995 >>not for the faint of heart, for sure that when you do procurement over the years when they would do something they wouldn't build in at new innovations or modernizations. So if you think about if you build a data center today a traditional data center, it's outdated. Tomorrow, the same thing with the procurement. By the time that they delivered on those requirements. They were outdated. So technical debt then has been built up years of on years of not modernizing, just kind of maintaining a status quo with no new insides or analytics. You couldn't add any new tooling. So that is where you see agencies like a T F. That has said, Wow, if I'm gonna if I'm gonna have a modern agency that tracks things like forensics understands the machine learning of what's happening in justice and public safety, I need to have the most modern tools. And I can't do that on an outdated system. So that's what we kind of call technical death that just maintains that system without having anything new that you're adding to >>their capabilities lag. Everything's products bad. Okay, great. Thanks for definite. I gotta ask you about something that's near and dear to our heart collaboration. If you look at the big successes in the world and within Amazon Quantum Caltex partnering on the quantum side, you've done a lot of collaboration with Cal Cal Poly for ground station Amazon Educate. You've been very collaborative in your business, and that's a continuing to be a best practice you have now new things like the cloud innovation centers. Talk about that dynamic and how collaboration has become an important part of your business model. >>What we use their own principles from Amazon. We got building things in our plan. Innovation centers. We start out piloting those two to see, Could they work? And it's really a public private partnership between eight MPs and universities, but its universities that really want to do something. And Cal Poly's a great example. Arizona State University A great example. The number one most innovative university in the US for like, four years in a row. And what we do is we go in and we do these public sector challenges. So the collaboration happens. John, between the public sector Entity, university with students and us, and what we bring to the table is technical talent, air technology and our mechanisms and processes, like they're working backwards processes, and they were like, We want you to bring your best and brightest students. Let's bring public sector in the bowl. They bring challenges there, riel that we can take on, and then they can go back and absorb, and they're pretty exciting. I today I talked about we have over 44 today that we've documented were working at Cal Poly. The one in Arizona State University is about smart cities. And then you heard We're announcing new ones. We've got two in France, one in Germany now, one that we're doing on cybersecurity with our mighty in Australia to be sitting bata rain. So you're going to see us Add a lot more of these and we're getting the results out of them. So you know we won't do if we don't like him. But right now we really like these partnerships. >>Results are looking good. What's going on with >>you? All right. And I'll tell you why. That why they're different, where we are taking on riel public sector issues and challenges that are happening, they're not kind of pie in the sky. We might get there because those are good things to do. But what we want to do is let's tackle things that are really homelessness, opioid crisis, human sex trafficking, that we're seeing things that are really in these communities and those air kind of grand. But then we're taking on areas like farming where we talked about Can we get strawberries rotting on the vine out of the field into the market before you lose billions of dollars in California. So it's things like that that were so its challenges that are quick and riel. And the thing about Cloud is you can create an application and solution and test it out very rapidly without high cost of doing that. No technical Dan, >>you mentioned Smart Cities. I just attended a session. Marty Walsh, the mayor of Boston's, got this 50 50 years smart city plan, and it's pretty impressive, but it's a heavy lift. So what do you see going on in smart cities? And you really can't do it without the cloud, which was kind of my big input cloud. Where's the data? What do you say, >>cloud? I O. T is a big part at these. All the centers that Andy talked about yesterday in his keynote and why the five G partnerships are so important. These centers, they're gonna be everywhere, and you don't even know they really exist because they could be everywhere. And if you have the five G capabilities to move those communications really fast and crypt them so you have all the security you need. This is game changing, but I'll give you an example. I'll go back to the kids for a minute at at Arizona State University, they put Io TI centers everywhere. They no traffic patterns. Have any parking slots? Airfield What Utilities of water, if they're trash bins are being filled at number of seats that are being taken up in stadiums. So it's things like that that they're really working to understand. What are the dynamics of their city and traffic flow around that smart city? And then they're adding things on for the students like Alexis skills. Where's all the activity? So you're adding all things like Alexa Abs, which go into a smart city kind of dynamic. We're not shop. Where's the best activities for about books, for about clothes? What's the pizza on sale tonight? So on and then two things like you saw today on Singapore, where they're taking data from all different elements of agencies and presenting that bad to citizen from their child as example Day one of a birth even before, where's all the service is what I do? How do I track these things? How do I navigate my city? to get all those service is the same. One can find this guy things they're not. They're really and they're actually happening. >>Seems like they're instrumented a lot of the components of the city learning from that and then deciding. Okay, where do we double down on where do we place? >>You're making it Every resilient government, a resilient town. I mean, these were the things that citizens can really help take intro Web and have a voice in doing >>threes. I want to say congratulations to your success. I know it's not for the faint of heart in the public sector of these days, a lot of blockers, a lot of politics, a lot of government lockers and the old procurement system technical debt. I mean, Windows 95 is probably still in a bunch of PCs and 50 45 fighters. 15 fighters. Oh, you've got a great job. You've been doing a great job and riding that wave. So congratulations. >>Well, I'll just say it's worth it. It is worth it. We are committed to public sector, and we really want to see everyone from our war fighters. Are citizens have the capabilities they need. So >>you know, you know that we're very passionate this year about going in the 2020 for the Cube and our audience to do a lot more tech for good programming. This'll is something that's near and dear to your heart as well. You have a chance to shape technology. >>Yes, well, today you saw we had a really amazing not for profit on stage with It's called Game Changer. And what we found with not for profits is that technology can be a game changer if they use it because it makes their mission dollars damage further. And they're an amazing father. And send a team that started game changer at. Taylor was in the hospital five years with terminal cancer, and he and his father, through these five years, kind of looked around. Look at all these Children what they need and they started. He is actually still here with us today, and now he's a young adult taking care of other young Children with cancer, using gaming technologies with their partner, twitch and eight MPs and helping analyze and understand what these young affected Children with cancer need, both that personally and academically and the tools he has He's helping really permit office and get back and it's really hard, Warren says. I was happy. My partner, Mike Level, who is my Gran's commercial sales in business, and I ran public Sector Day. We're honored to give them at a small token of our gift from A to B s to help support their efforts. >>Congratulates, We appreciate you coming on the Cube sharing the update on good luck into 2020. Great to see you 10 years at AWS day one. Still, >>it's day one. I feel like I started >>it like still, like 10 o'clock in the morning or like still a day it wasn't like >>I still wake up every day with the jump in my staff and excited about what I'm gonna do. And so I am. You know, I am really excited that we're doing and like Andy and I say we're just scratching the surface. >>You're a fighter. You are charging We love you, Great executive. You're the chief of public. Get a great job. Great, too. Follow you and ride the wave with Amazon and cover. You guys were documenting history. >>Yeah, exactly. We're in happy holidays to you all and help seeing our seventh and 20 >>so much. Okay, Cube coverage here live in Las Vegas. This is the cube coverage. Extracting the signals. Wanna shout out to eight of us? An intel for putting on the two sets without sponsorship, we wouldn't be able to support the mission of the Cube. I want to thank them. And thank you for watching with more after this short break.

Published Date : Dec 5 2019

SUMMARY :

Brought to you by Amazon Web service One of the biggest waves is the modernization of We appreciate you being here, What's changed the most for you in your And then you heard from somewhere And it's happening in all the sectors So you have a company on stage that's commercial as I met, And then you guys were in Bahrain, and what I deserve is it's not like S. So, like I was just in Africa and you know what we talked about digitizing And there's a really hunger and the need to make that happen. I'll see Jet eyes in the news, and you can't talk about it because it's I We have a very significant business, you know, doing work at every Consolidated, honest, because the flash crash, And I will tell you it's important that we have industries like thin red regulatory Tell me about the technical debt because I like this conversation is that we talk about in the commercial side and developer You know now, because you've talked about these procurement, your very best of your very savvy now public not for the faint of heart, for sure that when you do procurement over the years continuing to be a best practice you have now new things like the cloud innovation centers. and they were like, We want you to bring your best and brightest students. What's going on with And the thing about Cloud is you can create an application and solution and test So what do you see going on in smart cities? And if you have the five G capabilities to move those communications really fast and crypt Seems like they're instrumented a lot of the components of the city learning from that and then deciding. I mean, these were the things that citizens can really help take intro Web I know it's not for the faint of heart in the public Are citizens have the capabilities you know, you know that we're very passionate this year about going in the 2020 for the Cube and And what we found with not Great to see you 10 years at AWS day one. I feel like I started You know, I am really excited that we're doing and like Andy and You're the chief of public. We're in happy holidays to you all and help seeing our seventh and 20 And thank you for watching with

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Keynote Analysis | AWS Summit New York 2019


 

>> live from New York. It's the Q covering AWS Global Summit 2019. Brought to you by Amazon Web service is >> Hi and welcome to New York City, The Big Apple. I'm stupid and my co host for today is Cory Quinn, and this is eight of us. Summit New York City. It is one of the regional events that they have, but these regional events are actually tend to be bigger and more exciting than >> many companies. You know, big events not say that companies don't do good shows, but if you look, we've got 11,500 people in attendance over 120 seconds over 125. Sponsoring partners here in the ecosystem just had Werner Vogels up on stage. A number of the customers such a fin ra and Gordon, who we will have on the program on good energy, a local show it is free to attend Cory. Before >> we get into the technology, though, there's a little bit of a protest going on. Here is actually the second Amazon show in a row that this was was that Amazon re Mars, where a protester talking about I believe it was >> something around about chickens in Whole Foods. Basically, she got really close to the richest man in the world. But the protest here, it's outside, it's going and it's about ice and border control was actually a very well organized protest. Security had to take many of them out for the first least half hour of the of the keynote. Warner stopped a few times and said, Look, I'll be happy to talk to you after, >> but please let me finish. I thought he handled it, respectively. But what? What was your take? >> Very much so. And it's, I think it's an issue with There aren't too many people you'd want associate with on the other side of it, Kids in Cages is not something anyone sensible wants to endorse. The challenge that I continually have, I think, is that it's easy to have these conversations. Now is not the time. Okay, great. Typically, it's difficult to get big companies to say, and now is the time for us to address this and anything outside of very carefully worded statements. So I empathize. I really do. I mean, as a speaker myself, it's terrifying to me the idea that I could go up and have to have that level of conversation and a suddenly interrupted by people yelling at me. It's gotta be nerve wracking. Speaking to 10,000 people on its own is not easy, and having to carry that forward with something that effectively comes down to a morality question is it's gotta be tough. I have sympathy for people going through this on work on Amazon, and it's I don't know that there's a great answer right now. >> So, Cory, I know you know You are not >> deep in the government space, but you were at the public sector show there and there's always this discussion as you know Well, you're supplying the technology. While Amazon might not be providing, you know, bummers and, you know, guns. They are providing the technology underneath. Facial recognition causes a lot of concern, you know, rightfully so that make sure we understand this thing. Security products in the light. So, you know, when you have the Department of Defense and Border Control as your clients, they do open themselves up for some criticism, >> right? At some point, you have to wonder who you do business with versus who don't do business with and the historical approach. Well, as long as there are sanctions or laws preventing us from doing business with someone, we'll be open to all comers. I some level I find that incredibly compelling. In practice, the world is messy. If things were that black and white, we wouldn't have these social media content, moderation issues. It would be a very different story with a very different narrative. >> Yeah, definitely. Amazon as a whole has a platform, and they have relationships. You know, Jeff Bezos has met with, you know, the highest levels of power in this country. They've got Jay Carney. The foot was part of the Obama administration helping with policy. So absolutely with great to see Amazon, you know, take a strong statement and you know, for good is something that we're hugely a part of and therefore way want to see all the suppliers you know, having a dialogue and helping to move this >> for you. And I think the lesson that we take from it, too, is that there are multiple ways to agitate for change and protest. One is to disrupt the keynote, and I understand that it gets attention and it's valuable. But you could do that, or you can have a seat at the table and start lobbying for change, either internally or with stakeholders. But you need to it. There's a bunch of different paths to get there, and I think that I don't blame anyone who's protesting today, and I don't blame anyone who chose not to. >> All right, So let's let's let's talk now about some of the content. So, Cory lutely, you know that there there's in the Amazon ecosystem. Every day we wake up and there were multiple new announcements. A matter of fact. We're always saying, Oh my gosh, how do I keep up with all of the things happening there? Well, one of the ways we keep up with it is reading last week in a VWs, which is your newsletter. I'll do the shameless plug, you know, for much. Appreciate your telling my story, Cory, But Amazon Cloudwatch Container Insight, Amazon event bridge. You know, new developer kids fluent bid, you know, talking about the momentum of the company security databases on you know, the general adoption overall, you know, quick take for me as I love to hear you know, Werner up there talking about applications. It's not purely Oh, everything's going to live in the cloud and it'll be sun shines in unicorns and rainbows. But we understand that there's challenges here, your data and how we manage that requires, you know, >> a broad ecosystem that was the event bridge is something I would >> definitely want a drilling on because from a serverless environment, not just one thing, it's lots of different things. And how do we play between all of them? But since you do sort through and sift through all of these announcements, give us a date. It was there anything new here? Did you already know all of this because it's in your R S s feed Newsletters are you know what did grab you? >> Surprisingly, it turns out, in the weeks with you have, obviously reinvent is just a firehose torrent that no human being can wind up consuming. And you see a few releases in Santa Clara and a few in New York. But I thought I knew most of things that were coming out, and I did. I missed one that I just noticed. About two minutes we went on the air called cloudwatch anomaly detection the idea is that it uses machine learning. So someone check that off the business card of the bingo card. And at that point, you take all the cloudwatch logs and start running machine learning and look for anomalies discrepancies. In the rest it uses machine learning. But rather than go figure out what it's for, it's applied to a very specific problem and those of the A. I am l products. I like the best where it's we're solving a problem with your data for you. But riding guard rails as opposed to step one, hire $2,000,000 worth of data. Scientists Step two. We're still working on that. >> All right, so court cloudwatch actually e saw the event bridge that I mentioned, which is that event ecosystem around Lambda uh, Deepak, who we're going to have on the program that said that it was the learnings from cloudwatch that helped them to build. This may be for audience. Just give us cloudwatch. There's a lot of different products under that. Give us what you hear from your customers. You know where cloudwatch fits and, you >> know, let's start at the beginning For those who are fortune enough never to have used it. Cloudwatch is AWS is internal monitoring solution. It gathers metrics, it gathers logs, it presents them in different ways. And it has interesting bill impacts as a cloud economist. I see it an awful lot where every time you the monitoring company, walk around the Expo hall, you'll trip over 40 of those. They're all gathering their data on the infrastructure from Bob Watch and interpreting that. Now you're paying for the monitoring company and you're paying for the FBI charges against it. And I was sort of frozen in amber, more or less for a good five years or so. I wrote a bit of a hit piece late last year and had some fascinating conversations afterwards, and it hasn't aged well, they're really coming to the fore with a lot of enhancements that are valuable on it. The problem is, there's a tremendous amount of data. How do you get a signal from it? How do you look at actionable things? If you're running 10,000 instances, you're not looking at individual metrics for individualism. You care about aggregates, but you also care about observe ability. You care about drilling down into things Bernard talked about X rays distributed tracing framework today, and I think we're rapidly seeing across the board that it all ties back to events. Watch events is what's driving a lot of things like >> Event Bridge >> and the idea of an event centric architecture is really what we're trying to see Software's evolving into. >> Yeah, it's one of those things, you know, when you >> talk, you know that server list term out, their events are at the center of them. And how do I get some standardization across the industry? There's some open source groups that are trying to insert themselves and give some flexibility here. You know, when I want understand from Vin, Fridge says, Okay, it's Lambda and their ecosystem. But is this going to be a lame the only ecosystem or, well, this lay the ground work so that, yes, there are other clouds out there. You know what azure has other environment? Will this eventually be able to extend beyond this, or is this a Amazon proprietary system? Do you have any insight there? >> It's a great question. I would argue that I guess one of the taking a step back for a second. It would have to be almost irrelevant in some cases. When you start looking at server this lock in, it's not the fact that who there's this magic system only in one provider that will take my crappy code and run it for me. It's tied into the entire event ecosystem. It's tied into a bunch of primitives that do not translate very well. Now, inherently by looking What event bridge is in the fact that anyone who wants to be integrated into their applications, you absolutely could wind up with a deep native integration coming from another large, hyper scale pop provider? The only question is, will >> you great, great point. I know when I've talked to some of the surveillance ecosystem, it's that skills on understanding, you know, each environment because today, doing A W S versus doing azure, there's still a lot of difference, is there? Sure I could learn >> it, But yeah, and one of the things that I think is fascinating to is we've seen a couple attempts of this before from other start ups that are doing very similar things in open stores or trying to do something themselves. But one of the things that change this tremendously here is that this is a double us doing, that it doesn't matter what they do, what ridiculous name they give it when they want something. World generally tends to sit up and notice, just by sheer virtue of its scale and the fact that it's already built out. And you don't have to build the infrastructure yourself to run these things. If anything has a chance to start driving a cohesive standard around this, it's something coming from someone like Amazon. >> Yeah, absolutely. All right, Cory, you know, database is always a hot topic. Latest stat from Werner is, I believe it was 150,000 databases migrated. You called and >> said, Hey, why's amazon dot com on there? Jeff Faris like, Well, they have a choice. And of course, Amazon would point out they were using >> a traditional database for a long time and now have >> completely unplug the last in a >> long time. But they finally got off of a database that was produced by a law firm, and I understand the reasons behind that. But I was talking with people afterwards. Amazon does have a choice. Do they use, and if AWS wants to win them over to use their service is they have to sell them just like any other customer. And that's why it's on that slide as a customer. Now, if you're not in the ecosystem like some of us are, it looks a little disjointed of weight. C successfully sold yourself and put yourself on the slide. Well, okay, >> yes, it was actually so so the biggest thing I learned at the Amazon remarks show when >> you talk about all the fulfillment centers in the robotics and machine, learning almost everything underneath there it's got eight of us. Service is underneath it, So absolutely, it is one company. But yes, Amazon is the biggest customer of AWS. But that doesn't mean that there isn't somewhere, you know. You know, I still haven't gotten the word if they're absolutely 100% on that WS because we expect that there's some 400 sitting in the back ground running >> one of those financial service things. Maybe they finally micro did that one >> that's rather building in AWS 400. >> All right, Cory, what else you know either from the key note or from your general observations about Amazon that you want to share? >> I want to say that it's very clear that Amazon is getting an awful lot of practice at putting these events on and just tracking it here. Two year, Not just the venue. Logistics, which Okay, great. Get a bunch of people in a conference room, have a conversation. Do Aquino throw him out the end. But the way they're pacing the chinos, the way they're doing narratives, the customer stories that are getting up on stage are a lot less challenging. But then they were in years past. Where people get on stage, they seem more comfortable. It's very clear that a number of Amazon exacts not just here but another. Summits have been paying serious attention to how to speak publicly to 10,000 people once it's its own unique skill. >> Yeah, and you gotta like that, You know that. You know, the two first customers that they put on which will have on financial service is, of course, a big presence here in New York City. Gord Ash has their headquarters, you know, just a few blocks uptown from good, deep stories. Isn't you know, there there's that mixed that they did a good job. I thought of kind of cloud 10 >> one because still many customers are very early on that journey. We're not all cloud native, you know, run by the developers and everything there. But, you know, good looks of technology and the new pieces for those people that have been in a while, but still, you know, welcoming and embracing for how to get started >> and the stories we're moving up the stack to. It's not. >> We had a bunch of the >> EMS, and we put them in a different place. Okay, which is great news. Everyone starts there. But now the stories are moving into running serious regulated workloads with higher level of service is And that's great, because it's also not the far extreme Twitter for pets. We built this toy project last week when someone else fell through. And now we have to give this talk. It's very clearly something large enterprises. >> Yeah. So, Corey, last thing I want to ask you is you remember in the early days, you know, that public cloud? Oh, it was It was cheap and easy to use today. They have 200 instance types up there. You know, What does that mean for customers? You know you are a cloud economist. So need your official opinion diagnosis. >> I think it reduces the question, too, before you buy a bunch of reserve businesses. Are you on the right instance? Types. And the answer is almost certainly not just based on statistics alone. So now it's a constant state of indecision. It's rooted in an epic game of battleship between two Amazon S. V. V S. And I really hope one of the winds already so we can stop getting additional instance dives every couple of months. But so far no luck. >> So in your your your perfect world, you know what the announcement reinvented, fixes the problem. >> That's a really good question. I think that fundamentally, I don't I don't And I don't think I have any customers who care what type of incidents they're running on. They want certain resource levels. They want certain performance characteristics. But whatever you call that does not matter to them and having to commit to, though what you picked for 1 to 3 years, that's a problem. You don't have to. You can go on demand, but you're leaving 30% of the day. >> Yeah, and I love that point is actually taken notes fin rot. I want to talk to them because they say they've been three major re architectures in four years. So therefore, how did they make sure that they get the latest price performance but still get, you know, good, good economics on the outdated >> regulatory authority? I just assume they get there with audit threats when it comes time >> for renegotiating. >> All right. You're Cory Quinn. I am stupid. I mean, we have a full day here of water wall coverage from eight of US. Summit, New York City. Thank you so much for watching.

Published Date : Jul 11 2019

SUMMARY :

Brought to you by Amazon Web service It is one of the regional events that they but if you look, we've got 11,500 people in attendance over 120 seconds over 125. Here is actually the second Amazon show in a row that this was was that Amazon re Mars, I'll be happy to talk to you after, I thought he handled it, respectively. and now is the time for us to address this and anything outside of very carefully worded statements. deep in the government space, but you were at the public sector show there and there's always this discussion as At some point, you have to wonder who you do business with versus who don't do business with and the historical approach. You know, Jeff Bezos has met with, you know, the highest levels of power in this country. But you could do that, or you can have a seat at the table and start lobbying for change, either internally or the general adoption overall, you know, quick take for me as I love to hear you But since you And at that point, you take all the cloudwatch logs and start running machine learning and Give us what you hear from your customers. I see it an awful lot where every time you the monitoring company, talk, you know that server list term out, their events are at the center of them. it's not the fact that who there's this magic system only in one provider that will take my crappy code and run it for understanding, you know, each environment because today, doing A W S versus doing azure, But one of the things that change this tremendously here is that this is a double us doing, All right, Cory, you know, database is always a hot topic. And of course, Amazon would point out they were using But I was talking with people afterwards. But that doesn't mean that there isn't somewhere, you know. one of those financial service things. But the way they're pacing the chinos, the way they're doing narratives, Isn't you know, there there's that mixed that they did a good job. that have been in a while, but still, you know, welcoming and embracing for how to get started and the stories we're moving up the stack to. But now the stories are moving into running serious regulated workloads with higher level of service is you know, that public cloud? I think it reduces the question, too, before you buy a bunch of reserve businesses. having to commit to, though what you picked for 1 to 3 years, that's a problem. the latest price performance but still get, you know, good, good economics on Thank you so much for watching.

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Keynote Analysis | AWS Summit New York 19


 

>> live from New York. It's the Q covering AWS Global Summit 2019. Brought to you by Amazon Web service is >> Hi and welcome to New York City, The Big Apple. I'm stupid and my co host for today is Cory Quinn, and this is eight of us. Summit New York City. It is one of the regional events that they have, but these regional events are actually tend to be bigger and more exciting than many companies. You know, big events not, you know, say that companies don't do good shows, but if you look, we've got 11,500 people in attendance over 120 seconds over 125. Sponsoring partners here in the ecosystem just had Werner Vogels up on stage. A number of the customers such a fin ra and Gordon, who we will have on the program on good energy, a local show it is free to attend Cory. Before we get into the technology, though, there's a little bit of a protest going on. Here is actually the second Amazon show in a row. That this was was an Amazon re Mars, where a protester talking about I believe it was something around about chickens in Whole Foods. Basically, she got really close to the richest man in the world. But the protest here, it's outside, it's going and it's about ice and border control was actually a very well organized protest. Security had to take many of them out for the first least half hour of the of the keynote. Warner stopped a few times and said, Look, I'll be happy to talk to you after, but please let me finish. I thought he handled it, respectively. But what was your take? >> Very much so. And it's, I think it's an issue with There aren't too many people you'd want to associate with. On the other side of it, kids in Cages is not something anyone sensible wants to endorse. The challenge that I continually have, I think, is that it's easy to have these conversations. Now is not the time. Okay, great. Typically, it's difficult to get big companies to say, and now is the time for us to address this in anything outside of very carefully worded statements. So I empathize. I really do. I mean, as a speaker myself, it's terrifying to me the idea that I could >> go up and >> have to have that level of conversation and a suddenly interrupted by people yelling at me. It's gotta be nerve wracking. Speaking to 10,000 people on its own is not easy, and having to carry that forward with something that effectively comes down to a morality question is it's gotta be tough. I have sympathy for people going through this on work on Amazon, and it's I don't know that there's a great answer right now. >> So, Cory, I know you know You are not deep in the government space, but you were at the public sector show there and there's always this discussion as you know Well, you're supplying the technology. While Amazon might not be providing, you know, bummers and, you know, guns. They are providing the technology underneath. Facial recognition causes a lot of concern. You rightfully so that make sure we understand this thing security products and the like. So you know, when you have the Department of Defense and Border Control as your clients, they do open themselves up >> for some criticism, right? At some point you have to wonder who you do business with versus who don't do business with and the historical approach. Well, as long as there are sanctions or laws preventing us from doing business with someone, we'll be open to all comers. I some level I find that incredibly compelling. In practice, the world is messy. If things were that black and white, he wouldn't have the social media content, moderation issues. It would be a very different story with a very different narrative. >> Yeah, definitely. Amazon as a whole has a platform, and they have relationships. You know, Jeff Bezos has met with, you know, the highest levels of power in this country. They've got a carny. The foot was part of the Obama administration helping with policy. So absolutely with great to see Amazon, you know, take a strong puff statement and you know, for good is something that we're hugely a part of and therefore way want to see all the suppliers you know, having a dialogue and helping to move this >> for you. I think the lesson that we take from it, too, is that there are multiple ways to agitate for change and protest. One is to disrupt the keynote, and I understand that it gets attention and it's valuable But you could do that, or you can have a seat at the table and start lobbying for change, either internally or with stakeholders. But you need to it. There's a bunch of different paths to get there, and I think that I don't blame anyone who's protesting today, and I don't blame anyone who chose not to. >> All right, So let's let's let's talk now about some of the content. So Cory lutely, you know, there there's in the Amazon ecosystem. Every day we wake up and there were multiple new announcements. A matter of fact. We're always saying, Oh my gosh, how do I keep up with all of the things happening there? Well, one of the ways we keep up with it is reading last week in a VWs, which is your newsletter. I'll do the shameless plug, you know, for a much appreciated by telling my story. Cory. But Amazon Cloudwatch Container Insight, Amazon Event Bridge. You know, new developer kids fluent bit, you know, talking about the momentum of the company security databases on you know, the general adoption overall, you know, quick take for me as I love to hear you know, Werner up there talking about applications. It's not purely Oh, everything's going to live in the cloud and it'll be sun shines and unicorns and rainbows. But we understand that there's challenges here, your data and how we manage that requires, you know, a broad ecosystem that was the event bridge is something I would definitely want drilling on because from a serverless environment, not just one thing, it's lots of different things. And how do we play between all of them? But since you do sort through and sift through all of these announcements, give us a date. It was there anything new here? Did you already know all of this because it's in your R S s feed newsletters? What did grab you? >> Surprisingly, it turns out, in the weeks with you have, obviously reinvent is just a firehose torrent that no human being can wind up consuming. And you see a few releases in Santa Clara and a few in New York. But I thought I knew most of things that were coming out, and I did. I missed one that I just noticed. About two minutes we went on the air called cloudwatch anomaly detection. The idea is that it uses machine learning. So someone check that off the business card of the bingo card. And at that point, you take all the cloudwatch logs and start running machine learning and look for anomalies discrepancies. In the rest it uses machine learning. But rather than go figure out what it's for, it's applied to a very specific problem and those of the A. I am l products. I like the best where it's we're solving a problem with your data for you. But riding guard rails as opposed to step one, hire $2,000,000 worth of data. Scientists Step two. We're still working on that. >> All right, so court cloudwatch Actually, you saw the event bridge that I mentioned, which is that event ecosystem around Lambda uh, Deepak, who we're going to have on the program that said that it was the learnings from cloudwatch that helped them to build. This may be for audience. Just give us cloudwatch. There's a lot of different products under that. Give us what you hear from your customers. You know, we're cloudwatch fits and, you >> know, let's start at the beginning for those who are fortune enough never to have used it. Cloudwatch is AWS is internal monitoring solution. It gathers metrics. It gathers logs, it presents them in different ways. And it has interesting bill impacts as a cloud economist. I see it an awful lot where every time you, the monitoring company, walk around the Expo Hall, you'll trip over 40 of those. They're all gathering their data on the infrastructure from Bob Watch and interpreting that. Now you're paying for the monitoring company and you're paying for the FBI charges against it. And it was sort of frozen in amber, more or less for a good five years or so. I wrote a bit of a hit piece late last year and had some fascinating conversations afterwards, and it hasn't aged well, they're really coming to the floor with a lot of enhancements that are valuable on it. The problem is, there's a tremendous amount of data. How do you get signal from it? How do you look at actionable things? If you're running 10,000 instances, you're not looking at individual metrics or individualist. You care about aggregates, but you also care about observe ability. You care about drilling down into things. Burner talked about X Rays distributed tracing framework today, and I think we're rapidly seeing across the board that it all ties back to events. Cloudwatch events is what's driving a lot of things like Event Bridge and the idea of a defense centric architecture is really what we're trying to see Software's evolving into. >> Yeah, it's one of those things, you know, when you talk, you know that server lis term out, their events are at the center of them. And how do I get some standardization across the industry? There's open source groups that are trying to insert themselves and give some flexibility here. You know, when I want understand from Ben, Fridge says, Okay, it's Lambda and their ecosystem. But is this going to be a lame the only ecosystem? Or will this lay the ground work so that, yes, there are other clouds out there? You know what azure has other environment? Will this eventually be able to extend beyond this for? Is this a Amazon proprietary system? You have any insight there? >> It's a great question. I would argue that I guess one of the taking a step back for a second. It would have to be almost irrelevant In some cases when you start looking at server this lock in, it's not the fact that who there's this magic system only in one provider that will take my crappy code and run it for me. It's tied into the entire event ecosystem. It's tied into a bunch of primitives that do not translate very well. Now, inherently by looking. What event bridge is in the fact that anyone who wants to be integrated into their applications, you absolutely could wind up with a deep native integration coming from another large, hyper scale pop provider? The only question is, will >> you great, great point. I know when I've talked to some of the server lis ecosystem. It's that skills on understanding, you know, each environment because today, doing A W S versus doing azure, there's still a lot of differences there. Sure, I could learn it, but >> yeah, and one of the things that I think is fascinating to is we've seen a couple attempts of this before from other start ups that are doing very similar things in open stores or trying to do something themselves. But one of the things that change this tremendously here is it this is AWS doing that? It doesn't matter what they do, what ridiculous name they give it when they want something. World generally tends to sit up and notice, just by sheer virtue of its scale and the fact that it's already built out. And you don't have to build the infrastructure, help to run these things. If anything has a chance to start driving a cohesive standard around this, it's something coming from someone like Amazon. >> Yeah, absolutely. All right, Cory, you know, database is always a hot topic. Latest stat from Warner is I believe it was 150,000 databases migrated. You know, you called and said, Hey, why is amazon dot com on there? Jeff Faris like, Well, they have a choice. And of course, Amazon would point out they were using a traditional database for a long time and now have completely unplug the last in a >> long time. But they finally got off of a database that was produced by a law firm, and I understand the reasons behind that. But I was talking with people afterwards. Amazon does have a choice. Do they use, And if AWS wants to win them over to use their service is they have to sell them just like any other customer. And that's why it's on that slide as a customer. Now, if you're not in the ecosystem like some of us are, it looks a little disjointed of weight. So successfully sold yourself and put yourself on the slide. Okay, >> Yes, it was actually. So so. The biggest thing I learned at the Amazon remarks show when you talk about all the fulfillment centers in the robotics in machine, learning almost everything underneath there it's got eight of us. Service is underneath it. So absolutely, it is one company. But yes, Amazon is the biggest customer of AWS. But that doesn't mean that there isn't somewhere, you know. You know, I still haven't gotten the word if they're absolutely 100% on that, because we expect that there's some 400 sitting in the back ground running one of those financial service things. Maybe they finally micro did that one >> that's building in AWS 400. >> All right, Cory, what else you know either from the key note or from your general observations about Amazon that you want to share, >> I I want to say that it's very clear that Amazon is getting an awful lot of practice at putting these events on and just tracking a year to year, not just the venue. Logistics, which, Okay, great. Get a bunch of people in a conference room, have a conversation. Do Aquino throw him out the end. But the way they're pacing the Gino's, the way they're doing narratives. The customer stories that are getting up on stage are a lot less challenging. But then they were in years past. Where people get on stage, they seem more comfortable. It's very clear that a number of Amazon exacts not just here but another. Summits have been paying serious attention to how to speak publicly to 10,000 people at once. It's its own unique skill. >> Yeah, and you gotta like that, You know that. You know, the two first customers that they put on which will have on financial service is, of course, a big presence here in New York City. Gord Ash has their headquarters, you know, just a few blocks uptown from good, deep stories. Isn't you know, there there's that mixed that they did a good job. I thought of kind of cloud 101 because still many customers are very early on that journey. We're not all cloud native, you know, run by the developers and everything there. But, you know, good looks of technology and the new pieces for those people that have been in a while, But still, you know, welcoming and embracing offer how to get started >> and the stories we're moving up the stack to. It's not >> We had a bunch of B. >> M s and we put them in a different place. >> Hey, >> which is great news. Everyone starts there. But now the stories are moving into running serious regulated workloads with higher level of service is And that's great because it's also not the far extreme Twitter for pets. We built this toy project last week when someone else fell through. And now we have to give this talk. It's very clearly something large enterprises. >> Yeah. So, Corey, last thing I want to ask you is you remember in the early days, you know that public cloud? Oh, it was It was cheap and easy to use today. They have 200 instance types up there, you know? What does that mean for customers. You know you are a cloud economist. So need your official opinion diagnosis. >> I think it reduces the question, too, before you buy a bunch of reserve businesses. Are you on the right instance? Types. And the answer is almost certainly not just based on statistics alone. So now it's a state of indecision. It's rooted in an epic game of battleship between two Amazon s VVS, and I really hope one of the winds already so we can stop getting additional instance dives every couple of months. But so far no luck. >> So in your your your perfect world, you know what the announcement reinvented, fixes the problem. >> That's a really good question. I think that fundamentally, I don't I don't And I don't think I have any customers who care what type of incidents they're running on. They want certain resource levels. They want certain performance characteristics. But whatever you call that does not matter to them and having to commit to, though what you picked for 1 to 3 years, that's a problem. You don't have to. You can go on demand, but you're leaving 30% of the day. >> Yeah, and I love that point is actually taken. Notes fin rot. I want to talk to them because they say they've done three major re architectures in four years. So therefore, how did they make sure that they get the latest price performance but still get you no good? Good economics on the outdated >> regulatory authority? I just assume they get there with audit threats when it comes time for >> renegotiating. All right. You're Cory Quinn. I am stupid. I mean, we have a full day here of world Wall coverage from eight of US. Summit, New York City. Thank you so much for watching.

Published Date : Jul 11 2019

SUMMARY :

Brought to you by Amazon Web service You know, big events not, you know, say that companies don't do good shows, and now is the time for us to address this in anything outside of very carefully worded statements. and having to carry that forward with something that effectively comes down to a morality question So you know, when you have the Department of Defense At some point you have to wonder who you do business with versus who don't do business with and You know, Jeff Bezos has met with, you know, the highest levels of power in this country. But you need to it. the general adoption overall, you know, quick take for me as I love to hear you And at that point, you take all the cloudwatch logs and start running machine learning and You know, we're cloudwatch fits and, you You care about aggregates, but you also care about observe ability. Yeah, it's one of those things, you know, when you talk, you know that server lis term out, It would have to be almost irrelevant In some cases when you start looking at server this lock in, understanding, you know, each environment because today, doing A W S versus doing azure, And you don't have to build the infrastructure, help to run these things. All right, Cory, you know, database is always a hot topic. But I was talking with people afterwards. But that doesn't mean that there isn't somewhere, you know. But the way they're pacing the Gino's, the way they're doing narratives. We're not all cloud native, you know, run by the and the stories we're moving up the stack to. But now the stories are moving into running serious regulated You know you are a cloud economist. I think it reduces the question, too, before you buy a bunch of reserve businesses. having to commit to, though what you picked for 1 to 3 years, that's a problem. the latest price performance but still get you no good? Thank you so much for watching.

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Jamil Jaffer, IronNet | AWS Public Sector Summit 2019


 

>> Narrator: Live, from Washington DC, it's theCUBE. Covering AWS Public Sector Summit. Brought to you by Amazon Web Services. >> Welcome back everyone to theCUBE's live coverage of the AWS Public Sector Summit here in our nation's capital. I'm your host, Rebecca Knight. Co-hosting along side John Furrier. We are joined by Jamil Jaffer, he is the VP Strategy and Partnerships at IronNet. Thanks so much for coming on theCUBE. >> Thanks for having me Rebecca. >> Rebecca: I know you've been watching us for a long time so here you are, soon to be a CUBE alumn. >> I've always wanted to be in theCUBE, it's like being in the octagon but for computer journalists. (laughing) I'm pumped about it. >> I love it. Okay, why don't you start by telling our viewers a little bit about IronNet and about what you do there. >> Sure, so IronNet was started about 4 1/2 years ago, 5 years ago, by General Kieth Alexander, the former director of the NSA and founding commander of US Cyber command. And essentially what we do is, we do network traffic analytics and collective defense. Now I think a lot of people know what network traffic analytics are, you're looking for behavioral anomalies and network traffic, trying to identify the bad from the good. Getting past all the false positives, all the big data. What's really cool about what we do is collective defense. It's this idea that one company standing alone can't defend itself, it's got to work with multiple companies, it's got to work across industry sectors. Potentially even with the governments, and potentially across allied governments, really defending one another. And the way that works, the way we think about that, is we share all the anomalies we see across multiple companies to identify threat trends and correlations amongst that data, so you can find things before they happen to you. And so the really cool idea here is, that something may not happen to you, but it may happen to your colleague, you find about it, you're defended against it. And it takes a real commitment by our partners, our companies that we work with, to do this, but increasingly they're realizing the threat is so large, they have no choice but to work together, and we provide that platform that allows that to happen. >> And the premise is that sharing the data gives more observational space to have insights into that offense, correct? >> That's exactly right. It's as though, it's almost like you think about an air traffic control picture, or a radar picture, right? The idea being that if you want to know what's happening in the air space, you got to see all of it in real time at machine speed, and that allows you to get ahead of the threats rather than being reactive and talking about instant response, we're talking about getting ahead of the problems before they happen so you can stop them and prevent the damage ahead of time. >> So you're an expert, they're lucky to have you. Talk about what you've been doing before this. Obviously a lot of experience in security. Talk about some about some of the things you've done in the past. >> So I have to admit to being a recovering lawyer, but you have to forgive me because I did grow up with computers. I had a Tandy TRS-80 Color computer when I first started. 4K of all more RAM, we upgraded to 16K, it was the talk of the rainbow computer club, what are you doing, 16K of RAM? (laughing) I mean, it was-- >> Basic programming language, >> That's right. (laughing) Stored on cassette tapes. I remember when you used to have to punch a hole in the other side of a 5 1/4 floppy disc to make it double sided. >> Right, right. >> John: Glory days. >> Yeah, yeah. I paid my way through college running a network cable, but I'm a recovering lawyer, and so my job in the government, I worked at the House Intelligence Committee, the Senate Foreign Relations Committee and then the Bush administration on the Comprehensive National Cybersecurity Initiative, both the Justice Department and the White House. >> You've seen the arc, you've seen the trajectory, the progress we're making now seems to me slower than it should be, obviously a lot of inertia as Amy Chasity said today about these public sector government agencies, what not. But a real focus has been on it, we've been seeing activity. Where are we with the state of the union around the modernization of cyber and awareness to what's happening? How critical are people taking this threat seriously? >> Well I think I variety of things to say on that front. First, the government itself needs modernize its systems, right? We've seen that talked about in the Obama administration, we've seen President Trump put out an executive order on modernization of federal infrastructure. The need to move to the cloud, the need to move to shared services, make them more defensible, more resilient long-term. That's the right move. We've seen efforts at the Department of Defense and elsewhere. They aren't going as fast as the need to, more needs to happen on that front. IT modernization can really be accelerated by shifting to the cloud, and that's part of why that one of the things that IronNet's done really aggressively is make a move into the cloud space, putting all of our back end in the cloud and AWS. And also, ability, capability to do surveillance and monitoring. When I say surveillance I mean network threat detection not surveillance of the old kind. But network threat detection in the cloud, and in cloud-enabled instances too. So both are important, right? Classic data centers, but also in modern cloud infrastructure. >> Yeah, one of the things people want to know about is what your enemy looks like, and now with the democratization with open source, and democratization of tools, the enemies could be hiding through obscure groups. The states, the bad actors and the state actors can actually run covert activities through other groups, so this is kind of a dynamic that creates confusion. >> No, in fact, it's their actual mode of operating, right? It's exactly what they do, they use proxies, right? So you'll see the Russians operating, looking like a criminal hacker group operating out of the eastern Europe. In part because a lot of those Russian criminal rings, in actuality. You see a lot of patriotic hackers, right? I would tell most people, if you see a patriotic hacker there's probably a government behind that whole operation. And so the question becomes, how do you confront that threat, right? A lot of people say deterrence doesn't work in cyberspace. I don't believe that. I think deterrence can and does work in cyberspace, we just don't practice it. We don't talk about our capabilities, we don't talk our red lines, we don't talk about what'll happen if you cross our red lines, and when we do establish red lines and they're crossed, we don't really enforce them. So it's no surprise that our enemies, or advisories, are hitting us in cyberspace, are testing our boundaries. It's cause we haven't really give them a sense of where those lines are and what we're going to do if they cross them. >> Are we making an progress on doing anything here? What's the state of the market there? >> Well the government appears to have gotten more aggressive, right? We've seen efforts in congress to give the Department of Defense and the US Intelligence Committee more authorities. You can see the stand up of US Cyber Command. And we've seen more of a public discussion of these issues, right? So that's happening. Now, is it working? That's a harder question to know. But the real hard question is, what do you do on private sector defense? Because our tradition has been, in this country, that if it's a nation-state threat, the government defends you against it. We don't expect Target or Walmart or Amazon to have service to air missiles on the roof of your buildings to defend against Russian Bear bombers. We expect the government to do that. But in cyberspace, the idea's flipped on its head. We expect Amazon and every company in America, from a mom and pop shop, all the way up to the big players, to defend themselves against script kiddies, criminal hacker gangs, and nation-states. >> John: And randomware's been taking down cities, Baltimore, recent example, >> Exactly. >> John: multiple times. Hit that well many times. >> That's right, that's right. >> Talk about where the US compares. I mean, here as you said, the US, we are starting to have these conversations, there's more of an awareness of these cyber threats. But modernization has been slow, it does not quite have the momentum. How do we rate with other countries? >> Well I think in a lot of ways we have the best capabilities when it comes to identifying threats, identifying the adversary, the enemy, and taking action to respond, right? If we're not the top one, we're in the top two or three, right? And the question, though, becomes one of, how do you work with industry to help industry become that good? Now our industry is at the top of that game also, but when you're talking about a nation-state, which has virtually unlimited resources, virtually unlimited man-power to throw at a problem, it's not realistic to expect a single company to defend itself, and at the same time, we as a nation are prepared to say, "Oh, the Department of Defense should be sitting on "the boundaries of the US internet." As if you could identify them even, right? And we don't want that. So the question becomes, how does the government empower the private sector to do better defense for itself? What can the government do working with industry, and how can industry work with one another, to defend each other? We really got to do collective defense, not because it makes sense, which it does, but because there is no other option if you're going to confront nation-state or nation-state enabled actors. And that's another threat, we've seen the leakage of nation-state capabilities out to a lot broader of an audience now. That's a problem, even though that may be 2013 called and wants it's hack back, those things still work, right? What we saw in Baltimore was stuff that has been known for a long time. Microsoft has released patches long ago for that, and yet, still vulnerable. >> And the evolution of just cyber essential command, and Cyber Command, seems to be going slow, at least from my frame. Maybe I'm not in the know, but what is the imperative? I mean, there's a lot of problems to solve. How does the public sector, how does the government, solve these problems? Is cloud the answer? What are some of the things that people of this, the top minds, discussing? >> Well and I think cloud is clearly one part of the solution, right? There's no question that when you move to a cloud infrastructure, you have sort of a more bounded perimeter, right? And that provides that ability to also rapidly update, you could update systems in real time, and in mass. There's not going around and bringing your floppy disc and loading software, and it sounds like that's sort of a joke about an older era, but you look at what happened with NotPetya and you read this great Wired article about what happened with NotPetya, and you look at Maersk. And the way that Maersk brought its systems back up, was they had domain controller in Africa that had gone down due to a power surge, where they were able to recover the physical hard drive and re-image all their world-wide domain controls off of that one hard drive. You think about a major company that runs a huge percentage of the world's ports, right? And this is how they recovered, right? So we really are in that, take your disc and go to computers. In a cloud infrastructure you think about how you can do that in real time, or rapidly refresh, rapidly install patches, so there's a lot of that, that's like a huge part of it. It's not a complete solution, but it's an important part. >> Yeah, one of the things we talk about, a lot of tech guys, is that this debate's around complexity, versus simplicity. So if you store your data in one spot, it's easy to audit and better for governing compliance, but yet easier for hackers to penetrate. From an IQ standpoint, the more complex it is, distributed, harder. >> Yeah I think that's right. >> John: But what's the trade off there? How are people thinking about that kind of direction? >> No that's a great question, right? There's a lot of benefits to diversity of systems, there's a lot of benefit to spreading out your crown jewels, the heart of your enterprise. At the same time, there's real resilience in putting it in one place, having it well defended. Particularly when it's a shared responsibility and you have partial responsibility for the defense, but the provider to, I mean, Amazon, and all the other cloud providers, Microsoft and Google, all have it in their own self interest to really defend their cloud really well. Because whether or not you call it shared responsibility, it's your stock price that matters if you get hit, right? And so, instead of you, Amazon, and all the other cloud players have an incentive to do the right thing and do it really well. And so this shared responsibility can work to both side's benefits. That being said, there's an ongoing debate. A lot of folks want to do there stuff on-prem in a lot of ways. You know, a lot of us are old school, right? When you touch it, you feel it, you know it's there. And we're working through that conversation with folks, and I think that at the end of the day, the real efficiency gains and the power of having super computing power at your fingertips for analytics, for consumer purposes and the like. I really think there's no way to avoid moving to a cloud infrastructure in the long run. >> I know you said you were a recovering lawyer, but you are the founding director of the National Security Institute at the Antonin Scalia School of Law. How are you thinking about educating the next generation of lawyers who could indeed become policy makers or at least work on these committees, to think about these threats that we don't even know about yet? >> That's a great question. So one of the things we're doing, is we're working through the process with the state commission on establishing a new LLM and cyber intelligence national security law. That'll be a great opportunity for lawyers to actually get an advanced degree in these issues. But we're also training non-lawyers. One of the interesting things is, you know, One of the challenges DC has, is we make a lot of tech policy, a lot of it not great, because it's not informed by technologists, so we've got a great partnership with the Hewlett Foundation where we're bringing technologists from around the country, mid-career folks, anywhere from the age of 24 to 38. We're bringing them to DC and we're educating them on how to talk to policy makers. These are technologists, these are coders, data scientists, all the like, and it's a real opportunity for them to be able to be influential in the process of making laws, and know how to involve themselves and talk that speak. Cause, DC speak is a certain thing, right? (laughing) And it's not typically consistent with tech speak, so we're trying to bridge that gap and the Hewlett Foundation's been a great partner in that effort. >> On that point about this collaboration, Silicon Valley's been taking a lot of heat lately, obviously Zuckerberg and Facebook in the news again today, more issues around irresponsibility, but they were growing a rocket ship, I mean, company's only 15 years old roughly. So the impact's been significant, but tech has moved so fast. Tech companies usually hire policy folks in DC to speak the language, educate, a little bit different playbook. But now it's a forcing function between two worlds colliding. You got Washington DC, the Silicon Valley cultures have to blend now. What are some of the top minds thinking about this? What are some of the discussions happening? What's the topic of conversations? >> Well look, I mean, you've see it in the press, it's no surprise you're hearing this talk about breaking up big tech companies. I mean, it's astounding. We used to live in world in which being successful was the American way, right? And now, it seems like at least, without any evidence of anti-trust concerns, that we're talking about breaking up companies that have otherwise hugely successful, wildly innovative. It's sort of interesting to hear that conversation, it's not just one party, you're hearing this in a bipartisan fashion. And so it's a concern, and I think what it reveals to tech companies is, man, we haven't be paying a lot of attention to these guys in DC and they can cause real trouble. We need to get over there and starting talking to these folks and educating them on what we do. >> And the imperative for them is to do the right thing, because, I mean, the United States interest, breaking up, say, Facebook, and Google, and Apple, and Amazon, might look good on paper but China's not breaking up Alibaba anytime soon. >> To the contrary. They're giving them low-interest loans and helping them all to excel. It's crazy. >> Yeah, and they have no R&D by the way, so that's been- >> Jamil: Right, because they stole all of our IP. >> So the US invests in R&D that is easily moving out through theft, that's one issue. You have digital troops on our shores from foreign nations, some will argue, I would say yes. >> Jamil: Inside the border. >> Inside the border, inside the interior, with access to the power grids, our critical infrastructure, this is happening now. So is the government now aware of the bigger picture around what we have as capabilities and criticalities that were needed now for digital military? What is that conversation like? >> Well I think they're having this conversation, right? I think the government knows it's a problem, they know that actually in a lot of ways a partnership with tech is better than an adversary relationship. That doesn't change the fact that, for some reason, in the last three, four years, we really have seen what some people are calling a "techlash", right? A backlash against technology. It kind of strikes me as odd, because of course, the modern economy that we've so benefited from is literally built on the back of the innovations coming out of the Silicon Valley, out of the west coast, and out of the DC metro area, where a lot these tech companies are developing some of the most innovative new ideas. Now they're, frankly, helping government innovate. So Amazon's a key part of that effort, right? Here in the public sector. And so I'm hoping that education will help, I know that the arrival of tech companies here to really have that conversation in an open and sensible way, I hope will sort of waft back some of this. But I worry that for too long the tech and the policies have ignored on another. And now they're starting to intersect as you say, and it has the possibility of going wrong fast, and I'm hoping that doesn't happen. >> You know, one of the things that Rebecca and I were talking about was this talent gap between public sector and private sector. These agencies aren't going to go public anytime soon, so maybe they should get equity deals and get a financial incentive. (laughing) You know what I mean? Shrink down the cost, increase the value. But as you get the collaboration between the two parties, the cloud is attracting smart people, because it gives you an accelerant of value. So people can see some entry points to land, some value out of the gate, verus giving up and abandoning it through red tape, or in other processes. So you starting to see smart people get attracted to cloud as a tool for making change. How is that working? And how is that going to work? Cause this could be coming to the partnership side of it. People might not want to work for the government, but could work with the government. This is a dynamic that we see as real. What's your thoughts? >> I think that's exactly right. Having these cloud infrastructures gives the ability to one, leverage huge amounts of computing power, but also to leverage insights and knowledge from the private sector in ways that you never could have imagined. So I really do think the cloud is an opportunity to bring real benefits from private sector innovation into the public sector very rapidly, right? So, broad-clouded option. And that's part of why John Alexander, my boss, and I have been talking a lot about the need for broad-clouded option. It's not just innovative in technology, it's benefits to the war fighter, Right? I mean, these are real, tangible benefits pushing data in real time, the war fighter, You know John Alexander had one of the biggest innovations in modern war fighting, where he's able to take civil intelligence down from weeks and months, down to minutes and seconds, that the naval and our war fighters in Iraq and Afghanistan to really take the fight to the enemy. The cloud brings that power scaled up to a huge degree, right? By orders of magnitude. And so the government recognizes this and yet today we don't see them yet moving rapidly in that direction. So I think the EO was a good move, a good first step in that direction, now we got to see it implemented by the various agencies down below. >> Well we'll kep in touch, great to have you on. I know we're wrapping up the day here, they're breaking down, we're going to pull the plug literally. (laughing) We'll keep in touch and we'll keep progress on you. >> Thank you so much, I appreciate it. >> Rebecca: Jamil, you are now a CUBE alumn, >> I love it, thank you. >> Rebecca: So congrats, you've joined the club. >> I love it. >> I'm Rebecca Knight for John Furrier you have been watching theCUBE's live coverage of the AWS Public Sector Summit. (electronic music)

Published Date : Jun 12 2019

SUMMARY :

Brought to you by Amazon Web Services. of the AWS Public Sector Summit here in so here you are, soon to be a CUBE alumn. it's like being in the octagon but for computer journalists. a little bit about IronNet and about what you do there. And so the really cool idea here is, ahead of the problems before they happen Talk about some about some of the things So I have to admit to being a recovering lawyer, punch a hole in the other side of a 5 1/4 floppy disc both the Justice Department and the White House. around the modernization of cyber that one of the things that IronNet's done Yeah, one of the things people want to know about is And so the question becomes, how do you We expect the government to do that. Hit that well many times. it does not quite have the momentum. the private sector to do better defense for itself? And the evolution of just cyber essential command, And the way that Maersk brought its systems back up, Yeah, one of the things we talk about, and all the other cloud providers, Microsoft and Google, the Antonin Scalia School of Law. One of the interesting things is, you know, What are some of the top minds thinking about this? to these folks and educating them on what we do. And the imperative for them is to do the right thing, To the contrary. So the US invests in R&D that is So is the government now aware of the bigger picture I know that the arrival of tech companies here You know, one of the things that Rebecca and I And so the government recognizes this and yet today pull the plug literally. Thank you so much, Rebecca: So congrats, of the AWS Public Sector Summit.

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Doug VanDyke, Enquizit | AWS Public Sector Summit 2019


 

>> live from Washington, D. C. It's the Cube covering a ws public sector summit I wrote to you by Amazon Web services. Welcome >> back, everyone. You are watching the Cube and we are here in our nation's capital at the A. W s Public sector summit. I'm your host, Rebecca Night hosting alongside John Furrier. We're joining Cuba LEM Doug Van Dyke, CEO of Inquisitor to our show. Thanks so much for coming back on. >> Well, thank you for having me back. It's good to be here. >> So as I said, You're a Cuba LEM. You're also a nails on alum. And there's a story there, so >> we'll just do a quick rehash of last year. So I started a day ws in 2,012 with the federal business helped the federal business grow started. The eight of US nonprofit Vertical was invited by John and in stew last year to be on the Cube. The video is a great discussion. The video is seen by some of our best partners and inquisitor who happens to be one of the best partners that I had in public sector. We started some discussions and later I was hired to be the CEO. So, John, >> thank you. I didn't know this was >> going to be a career opportunity >> for you. You're the one who's got the jobs. You through the interviews? Well, political, absolutely appreciated community. Great to have you on. Good. Thank you. Thank you for meeting with Theresa. You've known Therese for many, many years. Microsoft Public Sector Game is certainly on fire. You got Andy chassis on the fireside chat. Kind of bring in. You see the frustration like he's got problems and he's never known any for many, many years. For him to be that animated with his opinion means that it's critical more more than ever. Now, where is public sector opportunity right now? Because it seems to be clouds validated, are we? There is just a turning moment for the whole public sector community, >> yet we're so we're absolutely seeing that and inquisitive fact inquisitor. One of the things I like most about inquisitor is it is focused exclusively on the public sector, so our background is in education. If you know, a student is graduating from high school now and applying to one of the many colleges and universities they use the common application We worked with the common app to help build that system that graduating students can apply to multiple universities as opposed to when I was a graduating high school student, had to fill out the form, send in a check, wait for it to come back in the mail. Now that's all done online. You can apply to multiple colleges at the same time. So I look at that as one of the first innovations that happened in the public sector on a ws inquisitor was a part of it. It was one of the things that attracted me to inquisitor, but the innovations that was in two thousand 92 1,010 it was the beginning. We are just hitting that hockey stick that Andy has talked about in public sector, where you know, the federal business. You talked a little bit about the Intel business and how when the agency moved onto a ws, it really validated security. I think we've seen the government go in. I think we've seen education and nonprofits, so I think this is the time that public sector is really going to take off in the clouds >> about the company that you're leading is the chief now, and the product is using common app. You tell what the common app that my high school's graduates had to fill out. Okay, it's send okay. Is that it? >> That's it. That's it. So I >> got some issues with this thing. >> So follow up that was >> definitely on love on different you. Heavy lifting when filling out applications. Automate is great, but it increases the MAWR schools you can apply to, so creates more inbound applications to schools. It does. I'm sure there's some challenges there that's on the horizon with you guys is solving them that creates more. I won't say span because this legit, but a lot of schools are like people throwing in 17 applications now. 20 applications. >> Well, it's automated. I >> mean technology. So, yes, there's more automation, but there's more background. There's more data and these surgeries going on database decision. So sure we'll let me start with inquisitor. You asked about inquisitive 2,000 to quiz it's started and doing application development. It was in two thousand nine that we really saw the light to move Teo a Ws, and it was through the work that we were doing with the common app that we realised the scale of handling all these applications, that the paper based way isn't an easier. In fact, it really restricts the number of colleges that students can apply, and it restricts the number of applicants that colleges get. So with more students applying to more universities and universities receiving more applications, they can be really selective. They have more data sources, more information aboutthe people. They're going to bring on and have a very inclusive and representative university. We have students applying from China and Europe, too, United States University. So we're getting a lot of diversity, and I think you know, there's probably a little bit more volume, but that's what technology >> today is the first digital data. So that's why I appreciate that. But there's gotta be more automation machine learning going in because now you have a relationship with a student and a school. What, what's next? What happens next? >> Well, it's so Sky's the limit, and you can do once you've got data. So data reporting is basically limited by the quality of the input data. So you have more students applying with more background information, and you could get really personal. So we helped a large Ivy League university in the Northeast migrate all into a ws. And this was after we worked with common app to build the common application way helped this university migrate all into a ws and we realized that there were benefits and challenges along the way. Some of the challenges we saw were repeatable, so we built a proprietary product called Sky Map. And what sky map does is it helps the full migration. So it integrates with your discovery applications like a risk network. It integrates with a ws cloud endure and we were working with cloud endure before a ws acquired them. So we have a p I's there, it manages the whole migration. And your question was, you get all this information about an organization's infrastructure, what do you do with it? Will use the next up is a M l. So we've used some of the higher level services that a bit Amazon Web services has with artificial intelligence. We were using Lambda Server lis and we could go there because I think that's and you've >> got to hand over their 80 must educate. >> Oh, yeah, >> you know, you're great. Get a common app over there. Any university coming soon >> I would Did he mention that I saw he was >> on the show before? >> And I just think that it was You got a huge inbound educational thing going on. So education seems to be a big part of the whole themes here. >> Well, that's our legacy, and we're working with a lot of universities were seeing. So you asked, Where is the cloud going? And in the future, we're seeing large universities move all in on a WS because of they're going to get more flexibility. The costs are going to go down. They're going to have more information on the students. They're going to be able to provide better learning. >> When you're talking to your client of this this big Ivy league in the Northeast, what are its pain points? Because I mean, college admissions is a controversial topic in the United States, and its been there's been scandal this year. What? When? When you were talking with this company and they said, Well, we want to do this. But what was the problem they were trying to solve? I mean, what what were they? What were their pain points. >> Well, one of the first pain points is they were located in a major city and their data center was in the major city. And this is expensive real estate. And so to use expensive real estate that you for date us, you know, for servers, etcetera for data center instead of using it for education is a cost to the university. So very simply put, moving out of that data center opening that space up for education and moving into a ws cloud saved it gave them more space for education. It helped them with cost avoidance, and way had a bunch of lessons learned along the way. So way at the time could move about five servers a week, which may seem like a good number. But now, with the automation that we get through sky map our product, we're working with the large a group of private universities as well as Wharton University. And with this large group of private universities, we found we could do on average over 20 the best week we had 37 servers migrate, hire >> a housefly. They like to be on the cutting edge, but still there public sector. Where's the modernisation Progress on that? Because now you're you've been on both sides of the table. You were Amazon Web services. Now years leading is the CEO of this company in higher ed. How's that modernization going? What's your perspective? What's your observation around? >> Sure, So you know. First of all, I had the opportunity to go work it with the university that's local here last week. And what I love seeing is with this access to the cloud you've got, everyone in the university now has access to nearly unlimited resource is for education. They were staffing their own help desk with their students. And I love seeing that kind of experience being brought from, You know, someone who used to be an IT professional is now being brought down to a student because of thes new technologies are so readily accessible to everybody. >> So so what's that? Tell us some other things that you're seeing that you're hearing. They're they're exciting innovations to you in the in the sector. >> Yeah, well, another opportunity that were working with is we worked with the Small Business Administration, and that was pretty rewarding. For us is a small business and three of the applications that we worked on their were. So we are a small a day, and it used to take our founder TC Ratna pur e about two months. Oh, and we had to hire an outside consultant to apply for our small business accreditation. So he was doing the paperwork and all the, you know, the old school application certification. After we built this application with the Small Business Administration, it took him several hours. He did it by himself. We applied. Got the accreditation. So thes modernizations air happening both in universities as well as in the federal government. >> So what's your business plan? You're the CEO now. What's the company's plan? Which your goals. >> So there's so many things I could talk about ill talk about one or two. We see in the next 1 2 3 to 5 years in public sector that these organizations are going to migrate all in on the cloud. And so we're building up a group. That's what Sky map is mainly addressing is way. Want to make sure that organizations are able tto orchestrate their move to the cloud and we're using? We're going to start exposing the tool that we use for our own internal resource is we're gonna start exposing that, leaving that with universities in the federal government and anyone else who's willing to use it to help them get all in on the cloud. Then we think there's probably going to be a wave where they're trying. Teo, learn the cloud and howto operate It will help them is a manage service provider. And then where I'm excited is you go to server lists and I mentioned were already using Lambda for our sky map product that we see in the future after the M S P V organisations. They're going to be servant lis and they'll be running into no ops environments. >> The classic example of sometimes you your business evolves areas you don't know based off on the wave You're on you guys, we're very proficient at migrating We are now You got sky map which is you're gonna take that those learnings and pay it forward bringing >> that are bringing them to the market that >> we don't have to do that themselves by build kind of thing. >> Well, and it's a little bit like you're doing here, John. And what a ws >> is the only one I get up. I tell everybody that, like >> a ws did eight of us start is away for Amazon to manage their internal servers. And, you know, eventually they realized everyone else in the market can use thes same innovations that they've got. And, >> well, I think this proves the point that if you assassin based model with open AP eyes, you Khun offer and pretty much anything is a service. If you get the speed and agility equation right, someone might say why she is not a court company. Why should I buy? I'll just use that service. I hope so. It's the sad, small hopes up. >> Yeah, and sorry. >> I was going to say you were on the inside. Now you're on the outside of that. This conference. What are your impressions? What are you What kind of conversations are you having that you are going to take back to inquisitor and say, Hey, I learned this at the summit. Are these people over here working on something cool? We got to get this in >> here. Well, it's been really fun for me is a change of perspective. For the last seven years, I've been helping plan and organize the event. Make sure it >> goes off this time. I'm a guest. You know, e I look a little bit >> more relaxed than last year is because, you know, I'm a guest now, but the takeaways are really You know, the innovation is continuing at A W s. And, you know, as a partner of Amazon Web services, I've got to make sure that my team and I stay up to date with all of the services that are being released and simplify those. And, like John was asking earlier, you know, make sure that there's a strategy for migration support and then continuing to re factor what they're doing. >> Well, congratulations on the new job. Get a great tale. When, with cloud growth adoption just early days, public sector continuing toe astonished with numbers. Next, she'll be 38,000 people. A lawsuit is like reinvent size, only 30,000 people. >> This is huge. It's a pleasure to be here. I'm sure you guys are enjoying it as well. >> Yeah, I know. It's been great, Doug. Thanks so much for returning to the Q B. I your two time >> alone. Thank you. Thank >> you. I'm Rebecca Knight for John Furrier. We will have more from the Amazon, Uh, a ws public sector, something coming up in just a little bit.

Published Date : Jun 12 2019

SUMMARY :

a ws public sector summit I wrote to you by Amazon Web services. We're joining Cuba LEM Doug Van Dyke, CEO of Inquisitor to our show. It's good to be here. So as I said, You're a Cuba LEM. be one of the best partners that I had in public sector. I didn't know this was Great to have you on. I like most about inquisitor is it is focused exclusively on the public sector, about the company that you're leading is the chief now, and the product is using common app. So I but it increases the MAWR schools you can apply to, so creates more inbound applications I of colleges that students can apply, and it restricts the number of applicants that colleges learning going in because now you have a relationship with a student and Well, it's so Sky's the limit, and you can do once you know, you're great. So education seems to be a big part of the whole themes here. And in the future, we're seeing large universities When you were talking with this Well, one of the first pain points is they were located in a major city and their data They like to be on the cutting edge, but still there public sector. First of all, I had the opportunity to go work it with the university that's They're they're exciting innovations to you and all the, you know, the old school application certification. You're the CEO now. We see in the next 1 2 3 to 5 years in public sector that these organizations are going to migrate all in on And what a ws is the only one I get up. And, you know, eventually they realized everyone else in the market can use thes same innovations It's the sad, small hopes up. I was going to say you were on the inside. For the last seven years, I've been helping plan and organize I'm a guest. And, like John was asking earlier, you know, make sure that there's a strategy for migration support Well, congratulations on the new job. It's a pleasure to be here. Thanks so much for returning to the Q B. I your two time Thank you. Uh, a ws public sector, something coming up in just a little bit.

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Bradley Rotter, Investor | Global Cloud & Blockchain Summit 2018


 

>> Live from Toronto Canada, it's The Cube, covering Global Cloud and Blockchain Summit 2018, brought to you by The Cube. >> Hello, everyone welcome back to The Cube's live coverage here in Toronto for the first Global Cloud and Blockchain Summit in conjunction with the Blockchain futurist happening this week it's run. I'm John Fourier, my cohost Dave Vellante, we're here with Cube alumni, Bradley Rotter, pioneer Blockchain investor, seasoned pro was there in the early days as an investor in hedge funds, continuing to understand the impacts of cryptocurrency, and its impact for investors, and long on many of the crypto. Made some great predictions on The Cube last time at Polycon in the Bahamas. Bradley, great to see you, welcome back. >> Thank you, good to see both of you. >> Good to have you back. >> So I want to just get this out there because you have an interesting background, you're in the cutting edge, on the front lines, but you also have a history. You were early before the hedge fund craze, as a pioneer than. >> Yeah. >> Talk about that and than how it connects to today, and see if you see some similarities, talk about that. >> I actually had begun trading commodity futures contracts when I was 15. I grew up on a farm in Iowa, which is a small state in the Midwest. >> I've heard of it. >> And I was in charge of >> Was it a test market? (laughing) >> I was in charge of hedging our one corn contract so I learned learned the mechanisms of the market. It was great experience. I traded commodities all the way through college. I got to go to West Point as undergrad. And I raced back to Chicago as soon as I could to go to the University of Chicago because that's where commodities were trading. So I'd go to night school at night at the University of Chicago and listen to Nobel laureates talk about the official market theory and during the day I was trading on the floor of the the Chicago Board of Trade and the Chicago Mercantile Exchange. Grown men yelling, kicking, screaming, shoving and spitting, it was fabulous. (laughing) >> Sounds like Blockchain today. (laughing) >> So is that what the dynamic is, obviously we've seen the revolution, certainly of capital formation, capital deployment, efficiency, liquidity all those things are happening, how does that connect today? What's your vision of today's market? Obviously lost thirty billion dollars in value over the past 24 hours as of today and we've taken a little bit of a haircut, significant haircut, since you came on The Cube, and you actually were first to predict around February, was a February? >> February, yeah. >> You kind of called the market at that time, so props to that, >> Yup. >> Hope you're on the right >> Thank you. >> side of those shorts >> Thank you. >> But what's going on? What is happening in the capital markets, liquidity, why are the prices dropping? What's the shift? So just a recap, at the time in February, you said look I'm on short term bear, on Bitcoin, and may be other crypto because all the money that's been made. the people who made it didn't think they had to pay taxes. And now they're realizing, and you were right on. You said up and up through sort of tax season it's going to be soft and then it's going to come back and it's exactly what happened. Now it's flipped again, so your thoughts? >> So my epiphany was I woke up in the middle of the night and said oh my God, I've been to this rodeo before. I was trading utility tokens twenty years ago when they were called something else, IRUs, do you remember that term? IRU was the indefeasible right to use a strand of fiber, and as the internet started kicking off people were crazy about laying bandwidth. Firms like Global Crossing we're laying cable all over the ocean floors and they laid too much cable and the cable became dark, the fiber became dark, and firms like Global Crossing, Enron, Enron went under really as a result of that miss allocation. And so it occurred to me these utility tokens now are very similar in characteristic except to produce a utility token you don't have to rent a boat and lay cable on the ocean floor in order to produce one of these utility tokens, that everybody's buying, I mean it takes literally minutes to produce a token. So in a nutshell it's too many damn tokens. It was like the peak of the internet, which we were all involved in. It occurred to me then in January of 2000 the market was demanding internet shares and the market was really good at producing internet shares, too many of them, and it went down. So I think we're in a similar situation with cryptocurrency, the Wall Street did come in, there were a hundred plus hedge funds of all shapes and sizes scrambling and buying crypto in the fall of last year. It's kind of like Napoleon's reason for attacking Russia, seemed like a good idea at the time. (laughing) And so we're now in a corrective phase but literally there's been too many tokens. There are so many tokens that we as humans can't even deal with that. >> And the outlook, what's the outlook for you? I mean, I'll see there's some systemic things going to be flushed out, but you long on certain areas? What do you what do you see as a bright light at the end of the tunnel or sort right in front of you? What's happening from a market that you're excited about? >> At a macro scale I think it's apparent that the internet deserves its own currency, of course it does and there will be an internet currency. The trick is which currency shall that be? Bitcoin was was a brilliant construct, the the inventor of Bitcoin should get a Nobel Prize, and I hope she does. (laughing) >> 'Cause Satoshi is female, everyone knows that. (laughing) >> I got that from you actually. (laughing) But it may not be Bitcoin and that's why we have to be a little sanguine here. You know, people got a little bit too optimistic, Bitcoin's going to a hundred grand, no it's going to five hundred grand. I mean, those are all red flags based on my experience of trading on the floor and investing in hedge funds. Bitcoin, I think I'm disappointed in Bitcoins adoption, you know it's still very difficult to use Bitcoin and I was hoping by now that that would be a different scenario but it really isn't. Very few people use Bitcoin in their daily lives. I do, I've been paying my son his allowance for years in Bitcoin. Son of a bitch is rich now. (laughing) >> Damn, so on terms of like the long game, you seeing the developers adopted a theory and that was classic, you know the decentralized applications. We're here at a Cloud Blockchain kind of convergence conference where developers mattered on the Cloud. You saw a great developer, stakeholders with Amazon, Cloud native, certainly there's a lot of developers trying to make things easier, faster, smarter, with crypto. >> Yup. >> So, but all at the same time it's hard for developers. Hearing things like EOS coming on, trying to get developers. So there's a race for developer adoption, this is a major factor in some of the success and price drops too. Your thoughts on, you know the impact, has that changed anything? I mean, the Ethereum at the lowest it's been all year. >> Yup. Yeah well, that was that was fairly predictable and I've talked about that at number of talks I've given. There's only one thing that all of these ICOs have had in common, they're long Ethereum. They own Ethereum, and many of those projects, even out the the few ICO projects that I've selectively been advising I begged them to do once they raised their money in Ethereum is to convert it into cash. I said you're not in the Ethereum business, you're in whatever business that you're in. Many of them ported on to that stake, again caught up in the excitement about the the potential price appreciation but they lost track of what business they were really in. They were speculating in Ethereum. Yeah, I said they might as well been speculating in Apple stock. >> They could have done better then Ethereum. >> Much better. >> Too much supply, too many damn tokens, and they're easy to make. That's the issue. >> Yeah. >> And you've got lots of people making them. When one of the first guys I met in this space was Vitalik Buterin, he was 18 at the time and I remember meeting him I thought, this is one of the smartest guys I've ever met. It was a really fun meeting. I remember when the meeting ended and I walked away I was about 35 feet away and he LinkedIn with me. Which I thought was cute. >> That's awesome, talk about what you're investing-- >> But, now there's probably a thousand Vitalik Buterin's in the space. Many of them are at this conference. >> And a lot of people have plans. >> Super smart, great ideas, and boom, token. >> And they're producing new tokens. They're all better improved, they're borrowing the best attributes of each but we've got too many damn tokens. It's hard for us humans to be able to keep track of that. It's almost like requiring a complicated new browser download for every website you went to. We just can't do that. >> Is the analog, you remember the dot com days, you referred to it earlier, there was quality, and the quality lasted, sustained, you know, the Amazon's, the eBay's, the PayPal's, etc, are there analogs in this market, in your view, can you sniff out the sort of quality? >> There are definitely analogs, I think, but I think one of the greatest metrics that we can we can look at is that utility token being utilized? Not many of them are being utilized. I was giving a talk last month, 350 people in the audience, and I said show of hands, how many people have used a utility token this year? One hand went up. I go, Ethereum? Ethereum. Will we be using utility tokens in the future? Of course we will but it's going to have to get a whole lot easier for us humans to be able to deal with them, and understand them, and not lose them, that's the big issue. This is just as much a cybersecurity play as it is a digital currency play. >> Elaborate on that, that thought, why is more cyber security playing? >> Well, I've had an extensive background in cyber security as an investor, my mantra since 9/11 has been to invest in catalyze companies that impact the security of the homeland. A wide variety of security plays but primarily, cyber security. It occurred to me that the most valuable data in the world used to be in the Pentagon. That's no longer the case. Two reasons basically, one, the data has already been stolen. (laughing) Not funny. Two, if you steal the plans for the next generation F39 Joint Strike Force fighter, good for you, there's only two buyers. (laughing) The most valuable data in the world today, as we sit here, is a Bitcoin private key, and they're coming for them. Prominent Bitcoin holders are being hunted, kidnapped, extorted, I mean it's a rather extraordinary thing. So the cybersecurity aspect of if all of our assets are going to be digitized you better damn well keep those keys secure and so that's why I've been focused on the cybersecurity aspect. Rivets, one of the ICOs that I invested in is developing software that turns on the power of the hardware TPM, trusted execution environment, that's already on your phone. It's a place to hold keys in hardware. So that becomes fundamentally important in holding your keys. >> I mean certainly we heard stories about kidnapping that private key, I mean still how do you protect that? That's a good question, that's a really interesting question. Is it like consensus, do you have multiple people involved, do you get beaten up until you hand over your private key? >> It's been happening. It's been happening. >> What about the security token versus utility tokens? A lot of tokens now, so there's yeah, too many tokens on the utility side, but now there's a surge towards security tokens, and Greg Bettinger wrote this morning that the market has changed over and the investor side's looking more and more like traditional in structures and companies, raising money. So security token has been a, I think relief for some people in the US for sure around investing in structures they understand. Is that a real dynamic or is that going to sustain itself? How do you see security tokens? >> And we heard in the panel this morning, you were in there, where they were predicting the future of the valuation of the security tokens by the end of the year doubling, tripling, what ever it was, but what are your thoughts? >> I think security tokens are going to be the next big thing, they have so many advantages to what we now regard as share certificates. My most exciting project is that I'm heavily involved in is a project called the Entanglement Institute. That's going to, in the process of issuing security infrastructure tokens, so our idea is a public-private partnership with the US government to build the first mega quantum computing center in Newport, Rhode Island. Now the private part of the public-private partnership by the issuance of tokens you have tremendous advantages to the way securities are issued now, transparency, liquidity. Infrastructure investments are not very liquid, and if they were made more liquid more people would buy them. It occurred to me it would have been a really good idea if grandpa would have invested in the Hoover Dam. Didn't have the chance. We think that there's a substantial demand of US citizens that would love to invest in our own country and would do so if it were more liquid, if it was more transparent, if the costs were less of issuing those tokens. >> More efficient, yeah. >> So you see that as a potential way to fund public infrastructure build-outs? >> It will be helpful if infrastructure is financed in the future. >> How do you see the structure on the streets, this comes up all the time, there's different answers to this. There's not like there's one, we've seen multiple but I'm putting a security token, what am i securing against, cash flow, equity, right to convert to utility tokens? So we're starting to see a variety of mechanisms, 'cause you have to investor a security outcome. >> Yeah, so as an investor, what do you look for? >> Well, I think it's almost limitless of what these smart securities, you know can be capable of, for example one of the things that were that we're talking with various parts of the government is thinking about the tax credit. The tax credit that have been talked about at the Trump administration, that could be really changed on its head if you were able to use smart securities, if you will. Who says that the tax credit for a certain project has to be the same as all other projects? The president has promised a 1.5 trillion dollar infrastructure investment program and so far he's only 1.5 trillion away from the goal. It hasn't started yet. Wilbur Ross when, in the transition team, I had seen the white paper that he had written, was suggesting an 82% tax credit for infrastructure investment. I'm going 82%, oh my God, I've never. It's an unfathomable number. If it were 82% it would be the strongest fiscal stimulus of your lifetime and it's a crazy number, it's too big. And then I started thinking about it, maybe an 82% tax credit is warranted for a critical infrastructure as important as quantum computing or cyber security. >> Cyber security. >> Exactly, very good point, and maybe the tax credit is 15% for another bridge over the Mississippi River. We already got those. So a smart infrastructure token would allow the Larry Kudlow to turn the dial and allow economic incentive to differ based on the importance of the project. >> The value of the project. >> That is a big idea. >> That is a big idea. >> That is what we're working on. >> That is a big idea, that is a smart contract, smart securities that have allocations, and efficiencies, and incentives that aren't perverse or generic. >> It aligns with the value of the society he needs, right. Talk about quantum computing more, the potential, why quantum, what attracted you to quantum? What do you see as the future of quantum computing? >> You know, you don't you don't have to own very much Bitcoin before what wakes you up in the middle of the night is quantum computing. It's a hundred million times faster than computing as we know it today. The reason that I'm involved in this project, I believe it's a matter of national security that we form a national initiative to gain quantum supremacy, or I call it data supremacy. And right now we're lagging, the Chinese have focused on this acutely and are actually ahead, I believe of the United States. And it's going to take a national initiative, it's going to take a Manhattan Project, and that's that's really what Entanglement Institute is, is a current day Manhattan Project partnering with government and three-letter agencies, private industry, we have to hunt as a pack and focus on this or we're going to be left behind. >> And that's where that's based out of. >> Newport, Rhode Island. >> And so you got some DC presence in there too? >> Yes lots of DC presence, this is being called Quantum summer in Washington DC. Many are crediting the Entanglement Institute for that because they've been up and down the halls of Congress and DOD and other-- >> Love to introduce you to Bob Picciano, Cube alumni who heads up quantum computing for IBM, would be a great connection. They're doing trying to work their, great chips to building, open that up. Bradley thanks for coming on and sharing your perspective. Always great to see you, impeccable vision, you've got a great vision. I love the big ideas, smart securities, it's coming, that is, I think very clear. >> Thank you for sharing. >> Thank you. The Cube coverage here live in Toronto. The Cube, I'm John Furrier, Dave Vellante, more live coverage, day one of three days of wall-to-wall coverage of the Blockchain futurist conference. This is the first global Cloud Blockchain Summit here kicking off the whole week. Stay with us for more after this short break.

Published Date : Aug 14 2018

SUMMARY :

brought to you by The Cube. and long on many of the crypto. good to see both of you. but you also have a history. and see if you see some similarities, talk about that. I grew up on a farm in Iowa, and during the day I was trading on the floor (laughing) What is happening in the capital markets, and the market was really good at producing internet shares, that the internet deserves its own currency, 'Cause Satoshi is female, everyone knows that. I got that from you actually. Damn, so on terms of like the long game, I mean, the Ethereum at the lowest it's been all year. about the the potential price appreciation They could have done better and they're easy to make. When one of the first guys I met in this space Many of them are at this conference. for every website you went to. that's the big issue. that impact the security of the homeland. I mean still how do you protect that? It's been happening. and the investor side's looking more and more is a project called the Entanglement Institute. is financed in the future. How do you see the structure on the streets, Who says that the tax credit for a certain project and maybe the tax credit is 15% That is what and efficiencies, and incentives the potential, why quantum, and are actually ahead, I believe of the United States. Many are crediting the Entanglement Institute for that I love the big ideas, smart securities, of the Blockchain futurist conference.

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Megan Smith, shift7 | Grace Hopper 2017


 

>> Announcer: Live, from Orlando, Florida, it's the Cube covering Grace Hopper's celebration of women in computing brought to you by Silicon Angle Media >> Welcome back to the Cube's coverage of the Grace Hopper conference here in Orlando, Florida I'm your host Rebecca Knight, along with my co host Jeff Frick. We're joined by Megan Smith. We're very excited to have you on the show. >> It's good to be here >> She is the third US CTO and also the CEO of a new company, Shift7.co, so thanks so much for joining us. >> Thanks for having me, it's great to be here. It's so fun to be at Hopper, >> Rebecca: It is, it is! >> It's cool, it's the Grace Hopper celebration, because we're trying to celebrate women in computing, and we're what, at 18 thousand people now, >> The biggest ever, >> Plus I think, 6 thousand people joining on the livestream, which is great. >> Before the cameras were rolling, we were talking about your role as the 3rd US CTO, and just talking about getting more technology into government to help leaders work together, and move faster. Tell us a little about this initiative. >> What's so great, is it's not partisan, fixing the government and making it work better, so all the work that we were doing continues. What we were able to put in place, during the Obama administration, and continues to Trump, were things like, the CT office. Having technical people, so I worked at Google, people work at Amazon, Facebook, Twitter, these companies who have that background, to join in on policy conversations, one, to join in on capacity building the government, so data sciences and tech and, let's have our services be as great as Amazon, or as Twitter, or Oracle, and not be sort of retro, really serve the American people. And then also, helping the American people in general, with capacity building, things like computer science for all. So that was an initiative that continues to get all of our children to have coding at school. That all children, you couldn't graduate from high school without having had some experience on learning of coding Coding is a 21st century fluency, it's a skill we all need, Like freshman biology. You want to know some biology, you want to know some coding, you want to know how to write, so making sure they have is tech-up, which was a program we started to help train Americans, there's six hundred thousand jobs open, in the United States, and they pay 50% more than the average American salary. The companies are starving. How do we rapidly get more Americans into these jobs? It turns out that people have, of course, created these fabulous code boot camps, you can train in three months for these jobs, some of them are paid, some times they pay you, all different kinds, some are online, some are offline, they're all over the country. So we're able to get more people to consider, a job like that, culturally they think, Well I don't, why would I, I don't know how to do that. Well you can, this is a fun and interesting and exciting career, you can do digital marketing, you can do user interface design. You can get involved in front end or back end coding, product management, all those things, sales. And so, how do you pull lots more Americans in, get our companies fueled so we have really the economic opportunity, and they're all over the country. Location wise, and topic wise. So we did tech hour now, and a tech jobs tour, which is not what we did in government, but we continue some of that work. >> This weird dichotomy, because on one end, people are worried about tech taking jobs, on the other hand, there's a ton of open tech jobs. And there's this transition period, that's difficult, obviously for people that didn't grow up, but one of the keynote speakers today, told a really heartening story, that she didn't get into it until the day she had to leave her abusive husband, and now she is a coder >> That's Doctor Sue Black, who was just given the Order of the British Empire, I mean, she is an incredible computer scientist. Yes, she escaped an abusive marriage with three small children, in her early 20s, I think. Ended up moving into public housing, and dealing with three children only being the school from 9 until 3, and eventually getting her PhD in computer science, and really, she started Techmoms now, she continues to do research in other things, but she's really trying to use her story, and her organizing capacity, to have more people realize this isn't hard like figuring out gravity waves that won the Nobel prize. This is hard like writing a hard essay, so we all can learn to write an essay. It takes some mastery work, you don't learn it in kindergarten but by the time you're in 7th, 8th, 9th, 10th, 12th grade, you can do it. >> It's not rocket science. >> Right, so coding is like that. >> The other piece you said that's very interesting, is the consumerization of IT. We've seen it at enterprise, a huge trend. But, now I expect everything that's on my phone, when I interact with Facebook or Amazon, or whatever, to be in all the applications, so, as you said, that's influencing government, and the way they have to deliver services, and I would imagine, too, with kind of the next wave of kids coming in, graduating, going into public service, they certainly have that expectation, right? They've been working on their phone forever of course it should be on the phone. >> And so we want everybody in our country fluent in computer science and coding at a basic level, like again, like freshman biology or takin' chemistry in high school, or taking writing. So that everyone could realize this is not rocket science we could have these kinds of capabilities as part of our services, from Housing and Urban Development, from the Department of Education. You know, a lot of us use our phones to get places, you know, on our maps, and so that's actually data coming from the US Geological survey, if you're looking at the weather, you're looking at NOAA's satellites, this is open government data. We were able to open over two hundred thousand data sets, from all over government, not private data, but public data, that you could make an entire app store, or Google play set of products on top of that. Government wouldn't have to pay for that, it just packages up the API as well. A really good example of that, is the US census team. There's nothing more big data than census, they have all of our information from a data perspective, and so they did opportunity.census.gov, and they said to various agencies, let us help you bridge these data sets into something that someone could build on top of, like we're seeing from the courses sector, we saw wonderful things like, Housing and Urban Development said, okay, our challenges are housing affordability, mobility, these are the challenges instead of having HUD make an app for Americans to come to, they just can explain what their problem is, what data sets, and then engage extraordinary companies, like airbnb, Redfins, Zillow, these fabulous tech companies, who can make instead a product for 100% of the Americans, rather than only wealthy or middle class Americans, and so they did things like, opportunity score, and airbnb helping you figuring out, if I rent a room in my house I can make my rent more affordable, very creative apps, that we can see, same thing for the Department of Ed or Department of Labor, and as the data gets out there, and as apps come, also the opportunity for data science and machine learning. What if, as much as we serve ads to ourselves, in these algorithms, what if we use the algorithms to help Americans find a job that they would love? You know, job matching, and these kinds of opportunities. of the problems in the world, and helping government get more fluent at that. And the way to do that is not so much, jam the government You have to do this, but find terrific talent like we see at Hopper, and have them cycle into the government, to be co-leaders just like a surgeon general would come. >> Are you facing recruitment challenges in that same way though? In the sense that technology is having a hard enough time recruiting and retaining women, but the government, too, is that seen as enough of an employer of choice for young talented, bright ambitious, young women? >> I'm not in government now, but when we were in there, we found a very interesting thing. Alex Mcgovern, who had been the general counsel of Twitter who was Stephanie's CTO with me and led a lot of our tech quals we called TQ like tech IQ in policy, together with economists and lawyers and others have if we're going to decide net neutrality, let's include everyone, including computer scientists, and we're going to sue bridge and open source, So we talked about that, and on the way going in Mcgovern, he said, wouldn't it be cool if, just like when you look at a lawyer's resume, you might see that they clerk and they served their county through clerking and through the judicial system, as well as being a private lawyer, they were a public defender, that's a pretty normal thing to see on a legal resume. If you looked at medical, you might see them going into NIH or doing some research, if you looked at a scientist, they might have gone to, done some NSF work or others. But for the tech crew, there is of course amazing technical people in NASA, NAH and the Department of Energy, and there's great IT teams, but there's not this thing that the Silicon Valley crew resume would say, oh, yeah, I served my country. So that's why, under President Obama, we were able to create these incredible programs. The Presidential Innovation Fellows, which was a one year term of service, The United States Digital Service, which is a three months to a two year term of service in the VA. What's more amazing if you build Amazon, than to go as a second act and help our veterans? It's an incredible honor, to the point of, will they come? Yes, that's what we were hoping, could we have that be a normal thing, and yes it's become a normal thing. And the Trump administration continues it. The 18F team is in the general services administration, they're on 18th and F so they have a code name. But that particular team is located around the country, not only in DC but in San Francisco, in Chicago, and others. So you see this tech sector flowing now into the government on a regular basis, and we welcome more peoples. The government is who shows up to help, so we need the tech sector to show up cause we've got a lot of money as a country, but if we're not effectively using it we're not serving the American people and foster children, veterans, elders, others need the services that they deserve and we have the money, so let's make it happen the way the tech sector is delivering Amazon packages or searches. >> What is your feeling, this is not your first Grace Hopper obviously, but what is your feeling about this conference, and advice that you would give to young women who are here, maybe for their first or second time, in terms of getting the most their time here? >> You know, I think the main thing is, it's a celebration, that's fun and you can walk up to anyone, so just talk to everyone. I've been talking to a million people on the floor, fabulous. Students are here, more senior technical leaders are here. We've been running speed mentoring, we're running a program called the Tech Jobs Tour, it's at Techjobstour.com, it's a #Americanshiring, and we've been going to 50 different cities and so we're running a version of that, and we do speed mentoring, so come to the speed mentoring sessions, it's a five minute pop, talk to someone about what you're tryin' to do. Lot's of programs like that, get into the sessions, come to the keynotes which are so inspiring, and Melinda Gates was amazing today, Dr. Fefe Lee was incredible, just across aboard, Dr Sue Black was here, I thought it was great today, actually, just to reflect on Melinda's keynote, I think this might have been the first time, I was talking to her, that she's really talked about her own technical experience >> That struck me, too! As a coder, starting in computer science. I didn't really understand that she had really started very early, with Apple 3 and the story of her dad >> And her love of her Apple 3, right! and really high school coding, which is so important for young people in high school and middle school, even younger. The Muscogee Creek Tribe, in Oklahoma, is teaching robotics in head start, so we can start in preschool. Just make it fun, and interesting. They're funny, they don't do battle bots, because you don't really want to teach 3 and 4 year olds to fight, so instead they have collaborative robots. >> Robots who work together Age appropriate. >> Well Megan Smith, this has been so fun talking to you, thanks so much for coming on our show. >> Thanks for having me. >> We will have more from the Grace Hopper Conference just after this, I'm Rebecca Knight for Jeff Frick (music)

Published Date : Oct 12 2017

SUMMARY :

Welcome back to the Cube's coverage of the She is the third US CTO and also the CEO of a new It's so fun to be at Hopper, on the livestream, which is great. Before the cameras were rolling, we were talking about during the Obama administration, and continues to Trump, but one of the keynote speakers today, and her organizing capacity, to have more people realize and the way they have to deliver services, and they said to various agencies, to help, so we need the tech sector to show up and we do speed mentoring, so come to the speed mentoring very early, with Apple 3 and the story of her dad because you don't really want to Robots who work together Well Megan Smith, this has been so fun talking to you,

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Carolyn Rodz, Circular Board & Elizabeth Gore, Dell - Dell EMC World 2017


 

>> Voiceover: Live from Las Vegas, it's theCUBE, covering Dell EMC World 2017, brought to you by Dell EMC. >> Welcome back to Las Vegas, we are here at Dell EMC World. I'm your host Rebecca Knight along with my co-host Paul Gillin. This is going to be a great segment, I'm so excited to have you both on the program. We're here welcoming Carolyn Rodz, she is the founder of Circular Board, and Elizabeth Gore, who is an entrepreneur in residence here at Dell. Welcome both to the program. >> Thank you. >> Thank you. Thanks for having us. >> So this week you unveiled Alice. This is the first AI based virtual advisor for women entrepreneurs. I want get to talking about Alice, meeting Alice, but first I want to just ask you Elizabeth, you're an entrepreneur in residence at Dell, explain to us how that program works. >> Sure, so it's my great pleasure to have worked the last almost three years now with Dell and now Dell Technologies. Every couple of years Michael Dell and his leadership team choose an individual who have a very specific focus to support eco-systems for entrepreneurs. So we use all of the muscle we have across Dell Technologies to support policy for entrepreneurs, in the 180 countries that we live and work. Also what are the best eco-systems and platforms that help entrepreneurs scale. And one of them is the Circular Board and we've been really proud to partner with them for the last two years because they use a digital platform that is very scalable and women are only getting 3% of venture capital in the US. So access to capital, mentorship, networks is really critical and so we're really excited to partner with, what you'll hear about Alice, to help solve that problem. >> So Carolyn, Elizabeth just laid out the problem, that women are just not getting a lot of easy dollars, there's not a lot of support, not a lot of encouragement, there's just a lack of community. So talk about Alice and how she fills this gap. >> Yeah so we hear a lot about the problem, and realized it was time to find a solution. And that's what Alice is all about, so Alice was started as, really the answer to what I wish I would've had when I started my first company years ago and what we saw over and over again with women everywhere. And that was integration into the existing start-up eco-system, and connectivity to resources like events, experts, content and tools to help their companies grow. And that's exactly what Alice does, is connect them based on their unique company profile and their real time needs. >> And you can go to helloalice.com and you can start using it right away. >> Exactly. >> So what does it do? How does it work? >> Yeah so a founder enters in their profile based on their industry, stage of growth and their location. Alice curates needs based on what they're looking for today. So if they're looking for a technology solution to a problem that they're having it will connect her to the right resources for her company to grow. If she needs an attorney to help her, who is the right attorney based on where she is and the industry that she's in. So for every person the answers are different, and as Alice populates she gets smarter and smarter about a founder's needs and starts to use predictive learning to make smarter responses for her. >> How do you ensure Alice will be used only by women? I mean, can anybody access this resource? >> Yeah she's open to everybody, she was really coded with gender in mind so from the start we looked at what were the unique needs of women, how did they learn and absorb information best. And that was were we started to create the platform but certainly she's open to everybody. The more the merrier. >> So give us some use cases. I know that you just unveiled her yesterday, a big deal. But talk about how you see an entrepreneur in, say, a small town somewhere in America using Alice and finding success. >> Well you look at what's happening today, it's a very fragmented eco-system. So there are great events, there are wonderful accelerators and programs around the world happening. But if you're in a place that doesn't have these resources you're certainly removed from the eco-system, or even if you are in a city that has great resources, lots of times when you're starting a company you aren't familiar with what exists and so it's a huge learning curve to just start to navigate that space. And that's where Alice comes in. It's how to help founders navigate the eco-system and also connect with expertise that may not be in their own location. So if you're in New York and working on a technology platform there are great resources available in Silicon Valley that you're missing out on and our goal is to bridge that gap. >> You mentioned Carolyn, Alice is something you wish you had had when you were starting your business. As entrepreneurs can you talk about some of the biggest challenges that you faced. >> Sure, one of the things that when you're launching a company is there are, as Carolyn said, a lot of resources out there but you're time poor as an entrepreneur. Your heads are down, you're just trying to get profitable, make sure your product is correct. So what is really critical is that this is curated exactly for that moment in the life cycle of a business. So am I just getting started, am I raising my series A or am I pre-IPO entrepreneur? I want the resources in that moment that are right for me. And what has not worked, Dell has really focused on a lot of platforms but you can't just take an existing platform and turn it pink for women, that just doesn't work. So we actually were really proud that Pivotal, one of our family of companies within Dell, did thousands of hours of user testing with the Circular Board team and actually looked at how do women access information, how do they access capital, why aren't so many of them integrating into existing systems? So all the way down to the code they've been really thinking about how to integrate women into these existing systems so they will raise their capital, get the mentorship, tap into supplier diversity programs, and that's why we think helloalice.com is going to be a huge change agent. >> I think we can agree the venture capital world, particularly in Silicon Valley, is very male dominated. There's an old boy's network there. Have you sensed that there is a willingness to change? That that attitude is changing at last? >> Yeah I think so. There's certainly some unconscious bias but women are starting companies now twice as fast as their male counterparts, so anyone who's really into-- >> Woah, where'd that number come from? >> The Chamber of Commerce announced that last year. >> Wow. >> Now unfortunately their fail rates are still unusually high and only 2% are making over a million dollars, however for an enterprise company like Dell or for a venture capital firm, I want to see those companies that are coming out rapidly and have the best products. So yes, they're starting to really understand and look at how do we interact with women in their companies. However what Alice will do is provide a great pipeline for the best companies to those venture firms. And you've already thought about that a lot. >> Yeah and we've also seen there's a huge desire from all of these resources to get more women involved in their programs. There's a huge desire from the women to get more involved and what we're trying to do is filter down to who are the right women for the right programs at the right time and make those connections. >> So tell me more, when you look ahead and at what Alice could possibly do for a generation and future generations of female entrepreneurs, what's your greatest hope? What's your greatest wish? >> Re-writing the statistics around women entrepreneurs ultimately and boosting economies, creating jobs and solving the big problems of the world. But what's exciting is, you think about the process right now where you turn to experts for advice, and imagine being able to scale that expertise, not only to the people who know that person, or where those personal relationships exist, but being able to provide access to every entrepreneur whether they reside in a rural community in Africa or in the middle of Silicon Valley. >> Where does the data come from? What are you plugging into on the back end? >> We relied heavily on partnerships and experts to find the best of the best. It isn't a numbers game in terms of quantity of content, but really looking for the very best answers to specific problems that founders have. So we've partnered with organizations like The Kauffman Foundation and Case Foundation and Small Business Administration and Department of Commerce and companies like Dell who have been really supportive in terms of getting us really quality content to help solve these problems. >> Dell, as you started talking about how Michael Dell is a big believer in this and obviously he's an entrepreneur himself. But can you tell us a little bit more about what skin Dell has in this game. >> Sure, absolutely. So we look at this as a business case for us, a business imperative as well as a social and economic comparative. So it is important to us to be the in-the-end solutions provider now that we have a suite of companies that can do that, from the day I buy my first laptop and try to launch my company, all the way up to commercial and enterprise solutions. So if we are really going to be that we have to be in front of these entrepreneurs. So Alice is way for us to get in front of fast growth entrepreneurs, provide the technology, the resources and the knowledge we have to be in front of them. So for us that's really important business. For the social and economic case, women put 90% of their income back into their communities and families and so for us, Michael and I have always believed that entrepreneurs are the ones solving the major social problems out there with solutions that are even more sustainable sometimes than Government, or most time frankly. So for us it's also a social imperative and women just happen to be the ones that are getting stuff done, both for their communities, their family and their business. >> So there's a doing good element to this-- >> Sure absolutely, absolutely. >> You both talked about a lot of entrepreneurs, and there's so much start-up activity, everybody's an entrepreneur these days. What are the characteristics of the successful ones? What do you look for Elizabeth? >> So I'm a very founder first person. I see a lot of great ideas but that founder has to have the drive, the know-how and the make it happen attitude. I also think that founders, it's really important that they understand technology. Every company is a technology company now, it doesn't matter what industry you're in. So first, do they have that drive, do they have that how-to attitude, do they surround themselves with people that are going to help their company scale 'cause every founder has weaknesses, do they understand the technology eco-system? So those are part of the things that I look for. I'm sure you might have different. >> Yeah those certainly, and I think that persistence. It is really hard to be heard among a very cluttered eco-system, and where we see the greatest success are those founders that continue to put forward and keep asking the questions and keep enlisting the help that they need to find the solutions that they're looking for. >> Before we let you go, what's your piece of advice for women out there who's starting a business, maybe struggling a bit. Beyond hook up with Alice, what's your best advice for her? >> Build the right team, find a co-founder, enlist the right investors to help provide the capital that you need, get the right partners on board and really look beyond just your employees as your team, but really look, who is the circle that you're enlisting behind your business to make it happen. >> And I would say it's really important to put purpose into profit. So really understand, while you're going after that profitability, why did you start in the first place, what is the purpose that your company is going after? On those hard days put that back into your focus. So put purpose into profit. >> And let's be sure to tell people how they get in touch, how they find Hello Alice, Twitter, a website and all. >> Visit helloalice.com to register and participate in Alice. And we want to welcome everybody, not just entrepreneurs but also experts and investors and advisors as well. And then online you can follow us at Alice Connects on Twitter and Facebook. >> Carolyn, Elizabeth, thanks so much. >> Pleasure, thank you all. >> Thanks so much. >> I'm Rebecca Knight, for Paul Gillin, we will have more from Dell EMC World just after this.

Published Date : May 10 2017

SUMMARY :

brought to you by Dell EMC. I'm so excited to have you both on the program. Thanks for having us. So this week you unveiled Alice. So access to capital, mentorship, networks So Carolyn, Elizabeth just laid out the problem, and connectivity to resources like events, and you can start using it right away. and the industry that she's in. so from the start we looked at I know that you just unveiled her yesterday, a big deal. and our goal is to bridge that gap. some of the biggest challenges that you faced. So all the way down to the code Have you sensed that there is a willingness to change? but women are starting companies now and look at how do we interact with women is filter down to who are the right women and imagine being able to scale that expertise, and experts to find the best of the best. and obviously he's an entrepreneur himself. and the knowledge we have to be in front of them. What are the characteristics of the successful ones? that are going to help their company scale and keep enlisting the help that they need Before we let you go, what's your piece of advice enlist the right investors to help provide to put purpose into profit. And let's be sure to tell people how they get in touch, Visit helloalice.com to register we will have more from Dell EMC World just after this.

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Dale Skivington, Dell EMC & Nick Curcuru, MasterCard - Dell EMC World 2016


 

live from austin texas it's the cube covering deli MC world 2016 brought to you by delhi MC now here are your hosts dave vellante and stu minimus welcome back to dell emc world at austin texas 2016 this is the cube the worldwide leader in live tech coverage dale skiffington is here sees the chief privacy officer at dell she's joined by nick koo koo koo roo was a vice president of big data practice at mastercard folks welcome to the cube thanks for coming on thank you having us very important topic a privacy security I like to talk to them as two sides of the same coin but Dale why don't you start it off tell us what you guys are talking about here at Delhi MC world thanks well oftentimes you're right privacy and security are two really different topics to talk about and Nick will cover a lot this afternoon about the importance of securing data in order to have a successful big data program but privacy is also a concern to our shareholders and stakeholders and that is privacy deals with what information do you collect what information how do you use that information and who to whom do you should with whom do you share it and that's a little different than securing the data and our regulators and our customers are getting increasingly concerned about those issues and so it requires some governance some thought to be put into those programs and that's what we're going to talk about today and it's interesting Nick because in 2006 when the Federal Rules of Civil Procedure enabled or required organizations to retain and produce electronic material it instantly became the notion that data was a liability and everybody wanted to understand okay when can i delete it when can I get rid of it and then when this big data mean occurred all of a sudden data becomes an asset in a big way even though it's always been an asset we know that but in a bigger way it was almost like a bit flip and it sort of changed the attitude is that a reasonable description and how did that affect how you approached privacy well part of it is is you're absolutely right he became an asset everyone started wanted to monetize the data that they were carrying because there were great nuggets that set inside that data so we started talking about security you know the original he's talked about personally identifiable information right and that's what everyone's at name address phone numbers you know you many email addresses but then it started to turn into as we started to bring other sources of data such as Facebook Twitter all that data that sits out there in social media together we started to realize other pieces of information needed to be secure as well so now you've broaden the way that you want to take look at security because all this unstructured data starts to come in where you can identify people through a picture a photograph through a twitter feed what you want to be able to say is how do I protect them as much as I protect someone's credit card or someone's personally identifiable name address and phone number tell what talk about your role at Adele it's interesting to have a chief privacy officer on a tail and now of course Delhi MC he opens up a whole new can of worms if I could say that yes so together with our chief information security officer who looks at the policies that procedures around securing data my team is responsible for the policies procedures and controls relating to the use of the data so you know in terms of the reason why our session today is called the ethical use of data is because the laws are lagging a little bit in terms of requiring certain things to be put in place about the use they're starting to develop but what each regulator has said in the US and Europe and elsewhere is they've given companies and technology companies a chance to put in good governance in place and they've asked the companies to put in internal review boards and an accountable responsible individuals in those organizations to make good decisions about the use of data and that's what a chief privacy officer helps the organization do develop the governance structure and help with the accountability of the use of decisions around using data so they obviously the big discussion going on like this inside of MasterCard and Nicki we're talking about everybody wants to monetize the data or figure out how data can help them monetize so how do you deal with that you know analytics and you know you guys talk about the creepy factor I always worried the Amazon knows more about me than I do you know what I'm out of something and I'm reordering and my patterns and and that's kind of creepy so how do you deal with that you know part of what we do and my side of the house is we anonymize the data in many cases for that type of analysis so we try to take that personally identifiable information out of the analysis so again I can we call it an autumn is a shin where we actually on the front end say I don't care who you are what I care about is your are your patterns and can I figure out what those patterns are to create affinities so by taking them out front end and anonymizing the data doing the analysis on it and then potentially at the back end our customers re identifying those people that we have anonymized on the front end that makes it a little bit better because it's no longer a creepy factor per se because when you work with someone like Dale and what the usage of that data is in many cases when you do that analysis it's doing it for the good of that person so that person either a gets a healthier lifestyle be gets to see the products and services that they want to see or want to be able to you know purchase or whatever so again for us it's been able to understand how we protect the individual as you look through the entire analysis string and that's what we do on the advisor size with our customers so that's cool but the chief marketing officer he or she lets you identify that individual you know the the customer of one you know that one-to-one personal interaction how do you square that circle well that's actually we work with the marketing team they always say that well we have a population of 5 million in our database and I want to look at all five minutes like yes you can look at all 5 million but anonymize them because most cases you're going to send us your data scientists and there's 20 or 30 data scientists that could be working on these five million to create your campaigns they don't need to know names phone numbers or addresses so secure the data so that you're not carrying identifiable information through the ecosystem only at the very end when you say out of that population of 5 million mr. marketer here's the half a million that have a high propensity to do what you're asking do is when you re identifier so at that particular point you haven't put 5 million people at risk you've actually put half a million people what you want them to do which is the propensity to purchase or the propensity to taking action so again at the end is when you re identify and say these are the number of these are the people we should be sending a mail or two or an email to or so an offer and that narrows the threat correct matrix if I use that term and and reduces the risk very much stuff to the consumer and obviously to the organization yeah and that's why when we work with people like our privacy officers it's what are you trying to do in the analysis so that we can understand that data usage because that becomes important with what the data is that's carried through the analysis phase you may not have to carry gender you may not have to carry ethnic background you may not have to carry and these other markers that could put someone as Anna you can identify someone with so if we can keep those out it's how you're using the data and the analysis at the end and to follow up on that you know so that's the what the privacy office does it works with the business when they are envisioning a particular use of data and application a product that's going to do some of these analytics we work with them to design that product to avoid some of these risks sometimes you can sometimes the answer is we absolutely need that personal information because that's the purpose of that particular project and in those cases then we look at did you have permission from the data subject to do what you want to do with the data and if not does the society good outweigh the risks and can you mitigate those risks in certain ways so that's the balancing act that we do and that's when we decide when it's past that creepy line or when it hasn't because my role within the company is to advocate for the data subject to make sure that their expectations are being met by Del I wonder if we can unpack another use case which is fraud detection which is advanced so rapidly in the last 10 years it used to be six months and you find maybe something happened you had a look at your own statements and now you're getting texts and very proactive but certainly a lot of information has to be accessible but it's very narrow in terms of the individual can you talk about that using yeah the one thing that we find from our customers are the people we work with when you talk about fraud people don't mind that you're watching because you're reducing their liability you're reducing someone from stealing that credit card from them or being able to run up charges so when you talk about protecting someone protecting someone's digitalpersona their wallet they're willing to give and take a little bit on what information they provide to you they don't mind that you know that Pam in austin texas today and then someone's trying to charge in you know guitar at the same day they understand that it's not a privacy issue but i want to ask you about the pendulum is kind of swung like I said it used to be it would take forever to find out if there was some kind of fraud and then it became like this flawed of false positives and and and it seems to be getting better and presumably it's because a big data analytics but I wonder if you could talk absolutely our fraud teams matter of fact at mastercard we work very hard to reduce the false positives because that creates a bad experience for both the user as well as the issue of that card right so what we try to do all the times you can continue to do learning machine learning the artificial intelligence how to reduce that as you also look at people's patterns is this person a professional traveler or always traveling so that goes into the algorithm which are take a look at a false positive around fraud do they buy these types of goods with their credit cards so going you start to look at the protection and you start to add those rules into it and you start to actually reduce it it's all about learning it's not just one and done those algorithms have to be constantly updated in real time in some cases so that you're constantly in a learning phase you're building models and iterating those models and that's always a challenge but I'd love to talk about that if we have time but but I wanted to ask you Dale talk about deep learning Michael was talking a lot about machine learning and deep learning and part of his visionary discussion this morning what's the role of transparency how do you guide your constituents in terms of transparency what are the guidelines how transparent when to be trans Aaron yeah that's a great question and you know transparency was where the privacy profession lived 10 years ago it was all about giving the consumers notice about why you're collecting the data and using it consistent with that notice and being very visible with privacy statements and you know there's lots of laws around that now where you have to give specific notices the problem with big data is the power of it is using the data in ways that you didn't envision when you collected the data and that is the dilemma for privacy and big data and that's where the privacy community is trying to develop some tools for organizations to do a balancing act of okay the consumer didn't know that when they gave you that data it was going to be used for this purpose but they're not it's good its tangential to that use so that would be an acceptable use but if it's going to so surprised the consumer that you're using the data for you really need to go back and get reap Reaper missioned and in some countries it's an opt-in permission I'm going to mix Pam law spam and do not call laws seem trivial doesn't it you were mentioning off camera that I think it's your CISO is participates in public policy through the Obama administration is that as that was it you say so it's part of our DNA is security and securing the data our CEOs made a tremendous commitment to make sure that we can apply our best practices into and help the community understand how to make sure the data is secure because that's a digital persona we consider ourselves to be stewards of data not owners of data someone has entrusted us with that we want to make sure that we're constantly contributing back how to make sure it's secure and used right as we take a look at that how about regional nuances local laws haha describe sort of what you're seeing there how you address those complexities yeah so a good example is the new European regulation that's going into effect may of 2018 that has a new specific requirement about profiling automated decision that's used for marketing purposes you have to have an opt-in for using that data companies are going to struggle with how to implement that but nonetheless it's a new law and that law has four percent of annual revenue as a potential penalty Wow so it may get this straight you have to opt-in to be automated profiled automated profiling where it's going to be used for certain types of purposes decisions and you know what they're really trying to avoid is the things that the Obama administration came out with a big data report as well discrimination decisions that are made about insurance and credit etc that are automated decisions and then marketing decisions on those you know with that data the law now requires very specific opt-in and and transparency boy that's going to be tricky yeah the other thing for us is which was just described as working with people is the ability to tag that data as it's being brought in so as you think a big day that ingestion that tagging of that data and carrying the metadata what types of data needs to be tagged what types of data you have to be watching out for was it an opt-in versus an opt-out all that adds into understanding the power of what big data can do to protect both the individual and the company from being able to do something wrong with information so the nice part is with big data you can do that so again we're working with our customers and with the privacy officers understand how you do your data classifications what data needs to be tagged and then to be able to follow that full lineage through the entire ecosystem and obviously that has to be done at the point of creation correct otherwise it's it's not going to scale and and technology helps you solve that problem and that's been a challenge for years but it's a day where that actually works now yeah there's a lot of great partners and we're here at you know Dell world WMC world and they're here as well to help on that ingestion of data as it's coming in to start to tag it and to start to index and catalog it if that's the power of what big data can help you with because before you had to do it individually now you can actually use the tools you can use AI to actually understand about that information coming in to do that tagging to create that lineage it's very very important and very powerful especially as we start looking at what's coming down the road till you get involved in in helping guide solutions is that sir we have a process that is called the privacy impact assessment process and it's in the life cycle development of our products and services so much like the security reviews that are done when we when we commercialize a product we now are interjecting ourselves with a privacy review so if that project or product development or application is intending to use big data analytics as part of it we will we will help guide the business whether they need to build in opt-in consents what it is that what do they want to do with the product and what kinds of things are from a compliance perspective there do they need to build in so that we are at the table with our business partners all right we got a rep and Nick I'll give you the last word to mean so festive as the big data analytics I'll call you a visionary you know what's the future hold where's your focus in the next you know near the midterm you know under stay right with the ethics world and and probably always tell people what we're asking now is just because you have the data doesn't mean you have to use the data just because you have that information you've got to become a parent and start to be able to put some parameters around how that data is use so people in the privacy world you need to bring them to the table so again just because you have it doesn't mean you should be using it and now it's better to be a parent then just let people run crazy right Nick Goodell thanks very much for coming too i love this conversation is fascinating thank you for working do all right keep right to everybody will be back this is dell emc world from Austin Texas this is the cube right back

Published Date : Oct 19 2016

SUMMARY :

action so again at the end is when you

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